id	sid	tid	token	lemma	pos
esrj-113518	1	1	issn	issn	PROPN
esrj-113518	1	2	1794	1794	NUM
esrj-113518	1	3	-	-	SYM
esrj-113518	1	4	6190	6190	NUM
esrj-113518	1	5	e	e	NOUN
esrj-113518	1	6	-	-	NOUN
esrj-113518	1	7	issn	issn	PROPN
esrj-113518	1	8	2339	2339	NUM
esrj-113518	1	9	-	-	SYM
esrj-113518	1	10	3459	3459	NUM
esrj-113518	1	11	https://doi.org/10.15446/esrj.v28n4.113518	https://doi.org/10.15446/esrj.v28n4.113518	PRON
esrj-113518	1	12	earth	earth	PROPN
esrj-113518	1	13	sciences	sciences	PROPN
esrj-113518	1	14	research	research	PROPN
esrj-113518	1	15	journal	journal	PROPN
esrj-113518	1	16	earth	earth	PROPN
esrj-113518	1	17	sci	sci	PROPN
esrj-113518	1	18	.	.	PUNCT
esrj-113518	2	1	res	res	PROPN
esrj-113518	2	2	.	.	PUNCT
esrj-113518	3	1	j.	j.	PROPN
esrj-113518	3	2	vol	vol	PROPN
esrj-113518	3	3	.	.	PROPN
esrj-113518	4	1	28	28	NUM
esrj-113518	4	2	,	,	PUNCT
esrj-113518	4	3	no	no	INTJ
esrj-113518	4	4	.	.	NOUN
esrj-113518	4	5	4	4	NUM
esrj-113518	4	6	(	(	PUNCT
esrj-113518	4	7	december	december	PROPN
esrj-113518	4	8	,	,	PUNCT
esrj-113518	4	9	2024	2024	NUM
esrj-113518	4	10	):	):	PUNCT
esrj-113518	4	11	409	409	NUM
esrj-113518	4	12	419	419	NUM
esrj-113518	4	13	g	g	NOUN
esrj-113518	4	14	eo	eo	PROPN
esrj-113518	4	15	ph	ph	PROPN
esrj-113518	4	16	y	y	PROPN
esrj-113518	5	1	si	si	PROPN
esrj-113518	5	2	c	c	NOUN
esrj-113518	5	3	s	s	VERB
esrj-113518	5	4	classification	classification	NOUN
esrj-113518	5	5	of	of	ADP
esrj-113518	5	6	remote	remote	ADJ
esrj-113518	5	7	sensing	sense	VERB
esrj-113518	5	8	datasets	dataset	NOUN
esrj-113518	5	9	with	with	ADP
esrj-113518	5	10	different	different	ADJ
esrj-113518	5	11	deep	deep	ADJ
esrj-113518	5	12	learning	learning	NOUN
esrj-113518	5	13	architectures	architecture	NOUN
esrj-113518	5	14	maryam	maryam	PROPN
esrj-113518	5	15	mehmood1,3	mehmood1,3	PROPN
esrj-113518	5	16	*	*	PROPN
esrj-113518	5	17	,	,	PUNCT
esrj-113518	5	18	farhan	farhan	PROPN
esrj-113518	5	19	hussain1	hussain1	PROPN
esrj-113518	5	20	,	,	PUNCT
esrj-113518	5	21	ahsan	ahsan	PROPN
esrj-113518	5	22	shahzad1	shahzad1	PROPN
esrj-113518	5	23	,	,	PUNCT
esrj-113518	5	24	nouman	nouman	NOUN
esrj-113518	5	25	ali2	ali2	PROPN
esrj-113518	5	26	1	1	X
esrj-113518	5	27	.	.	PUNCT
esrj-113518	6	1	department	department	NOUN
esrj-113518	6	2	of	of	ADP
esrj-113518	6	3	computer	computer	NOUN
esrj-113518	6	4	and	and	CCONJ
esrj-113518	6	5	software	software	NOUN
esrj-113518	6	6	engineering	engineering	NOUN
esrj-113518	6	7	,	,	PUNCT
esrj-113518	6	8	national	national	ADJ
esrj-113518	6	9	university	university	PROPN
esrj-113518	6	10	of	of	ADP
esrj-113518	6	11	sciences	science	NOUN
esrj-113518	6	12	and	and	CCONJ
esrj-113518	6	13	technology	technology	NOUN
esrj-113518	6	14	,	,	PUNCT
esrj-113518	6	15	islamabad	islamabad	NOUN
esrj-113518	6	16	44000	44000	NUM
esrj-113518	6	17	,	,	PUNCT
esrj-113518	6	18	pakistan	pakistan	PROPN
esrj-113518	6	19	2	2	NUM
esrj-113518	6	20	.	.	PUNCT
esrj-113518	6	21	department	department	NOUN
esrj-113518	6	22	of	of	ADP
esrj-113518	6	23	software	software	PROPN
esrj-113518	6	24	engineering	engineering	PROPN
esrj-113518	6	25	,	,	PUNCT
esrj-113518	6	26	mirpur	mirpur	PROPN
esrj-113518	6	27	university	university	PROPN
esrj-113518	6	28	of	of	ADP
esrj-113518	6	29	science	science	NOUN
esrj-113518	6	30	and	and	CCONJ
esrj-113518	6	31	technology	technology	NOUN
esrj-113518	6	32	.	.	PUNCT
esrj-113518	7	1	3	3	X
esrj-113518	7	2	.	.	X
esrj-113518	7	3	department	department	NOUN
esrj-113518	7	4	of	of	ADP
esrj-113518	7	5	software	software	PROPN
esrj-113518	7	6	engineering	engineering	PROPN
esrj-113518	7	7	,	,	PUNCT
esrj-113518	7	8	national	national	ADJ
esrj-113518	7	9	university	university	NOUN
esrj-113518	7	10	of	of	ADP
esrj-113518	7	11	modern	modern	ADJ
esrj-113518	7	12	languages	language	NOUN
esrj-113518	7	13	,	,	PUNCT
esrj-113518	7	14	numl	numl	NOUN
esrj-113518	7	15	,	,	PUNCT
esrj-113518	7	16	islamabad	islamabad	PROPN
esrj-113518	7	17	*	*	PUNCT
esrj-113518	7	18	corresponding	correspond	VERB
esrj-113518	7	19	author	author	NOUN
esrj-113518	7	20	:	:	PUNCT
esrj-113518	7	21	maryam.mehmood@numl.edu.pk	maryam.mehmood@numl.edu.pk	ADP
esrj-113518	7	22	how	how	SCONJ
esrj-113518	7	23	to	to	PART
esrj-113518	7	24	cite	cite	VERB
esrj-113518	7	25	item	item	NOUN
esrj-113518	7	26	:	:	PUNCT
esrj-113518	7	27	mehmood	mehmood	PROPN
esrj-113518	7	28	,	,	PUNCT
esrj-113518	7	29	m.	m.	NOUN
esrj-113518	7	30	,	,	PUNCT
esrj-113518	7	31	hussain	hussain	PROPN
esrj-113518	7	32	,	,	PUNCT
esrj-113518	7	33	f.	f.	PROPN
esrj-113518	7	34	,	,	PUNCT
esrj-113518	7	35	shahzad	shahzad	PROPN
esrj-113518	7	36	,	,	PUNCT
esrj-113518	7	37	a.	a.	PROPN
esrj-113518	7	38	,	,	PUNCT
esrj-113518	7	39	&	&	CCONJ
esrj-113518	7	40	ali	ali	PROPN
esrj-113518	7	41	,	,	PUNCT
esrj-113518	7	42	n.	n.	PROPN
esrj-113518	7	43	(	(	PUNCT
esrj-113518	7	44	2024	2024	NUM
esrj-113518	7	45	)	)	PUNCT
esrj-113518	7	46	.	.	PUNCT
esrj-113518	8	1	classification	classification	NOUN
esrj-113518	8	2	of	of	ADP
esrj-113518	8	3	remote	remote	ADJ
esrj-113518	8	4	sensing	sense	VERB
esrj-113518	8	5	datasets	dataset	NOUN
esrj-113518	8	6	with	with	ADP
esrj-113518	8	7	different	different	ADJ
esrj-113518	8	8	deep	deep	ADJ
esrj-113518	8	9	learning	learning	NOUN
esrj-113518	8	10	architectures	architecture	NOUN
esrj-113518	8	11	.	.	PUNCT
esrj-113518	9	1	earth	earth	NOUN
esrj-113518	9	2	sciences	sciences	PROPN
esrj-113518	9	3	research	research	PROPN
esrj-113518	9	4	journal	journal	PROPN
esrj-113518	9	5	,	,	PUNCT
esrj-113518	9	6	28(4	28(4	NUM
esrj-113518	9	7	)	)	PUNCT
esrj-113518	9	8	,	,	PUNCT
esrj-113518	9	9	409	409	NUM
esrj-113518	9	10	-	-	SYM
esrj-113518	9	11	419	419	NUM
esrj-113518	9	12	.	.	PUNCT
esrj-113518	10	1	https://doi	https://doi	X
esrj-113518	10	2	.	.	PUNCT
esrj-113518	10	3	org/10.15446	org/10.15446	PROPN
esrj-113518	10	4	/	/	SYM
esrj-113518	10	5	esrj.v28n4.113518	esrj.v28n4.113518	NOUN
esrj-113518	10	6	record	record	NOUN
esrj-113518	10	7	manuscript	manuscript	NOUN
esrj-113518	10	8	received	receive	VERB
esrj-113518	10	9	:	:	PUNCT
esrj-113518	10	10	16/03/2024	16/03/2024	NUM
esrj-113518	10	11	accepted	accept	VERB
esrj-113518	10	12	for	for	ADP
esrj-113518	10	13	publication	publication	NOUN
esrj-113518	10	14	:	:	PUNCT
esrj-113518	10	15	22/10/2024	22/10/2024	NUM
esrj-113518	10	16	abstract	abstract	ADJ
esrj-113518	10	17	remote	remote	ADJ
esrj-113518	10	18	sensing	sense	VERB
esrj-113518	10	19	image	image	NOUN
esrj-113518	10	20	classification	classification	NOUN
esrj-113518	10	21	has	have	VERB
esrj-113518	10	22	great	great	ADJ
esrj-113518	10	23	advantages	advantage	NOUN
esrj-113518	10	24	in	in	ADP
esrj-113518	10	25	the	the	DET
esrj-113518	10	26	areas	area	NOUN
esrj-113518	10	27	of	of	ADP
esrj-113518	10	28	environmental	environmental	ADJ
esrj-113518	10	29	monitoring	monitoring	NOUN
esrj-113518	10	30	,	,	PUNCT
esrj-113518	10	31	urban	urban	ADJ
esrj-113518	10	32	planning	planning	NOUN
esrj-113518	10	33	,	,	PUNCT
esrj-113518	10	34	disaster	disaster	NOUN
esrj-113518	10	35	management	management	NOUN
esrj-113518	10	36	and	and	CCONJ
esrj-113518	10	37	many	many	ADJ
esrj-113518	10	38	others	other	NOUN
esrj-113518	10	39	.	.	PUNCT
esrj-113518	11	1	unmanned	unmanned	ADJ
esrj-113518	11	2	aerial	aerial	ADJ
esrj-113518	11	3	vehicles	vehicle	NOUN
esrj-113518	11	4	(	(	PUNCT
esrj-113518	11	5	uavs	uavs	NOUN
esrj-113518	11	6	)	)	PUNCT
esrj-113518	11	7	have	have	AUX
esrj-113518	11	8	revolutionized	revolutionize	VERB
esrj-113518	11	9	remote	remote	ADJ
esrj-113518	11	10	sensing	sensing	NOUN
esrj-113518	11	11	by	by	ADP
esrj-113518	11	12	providing	provide	VERB
esrj-113518	11	13	high	high	ADJ
esrj-113518	11	14	-	-	PUNCT
esrj-113518	11	15	resolution	resolution	NOUN
esrj-113518	11	16	imagery	imagery	NOUN
esrj-113518	11	17	.	.	PUNCT
esrj-113518	12	1	in	in	ADP
esrj-113518	12	2	this	this	DET
esrj-113518	12	3	context	context	NOUN
esrj-113518	12	4	,	,	PUNCT
esrj-113518	12	5	effective	effective	ADJ
esrj-113518	12	6	image	image	NOUN
esrj-113518	12	7	classification	classification	NOUN
esrj-113518	12	8	is	be	AUX
esrj-113518	12	9	crucial	crucial	ADJ
esrj-113518	12	10	for	for	ADP
esrj-113518	12	11	extracting	extract	VERB
esrj-113518	12	12	meaningful	meaningful	ADJ
esrj-113518	12	13	information	information	NOUN
esrj-113518	12	14	from	from	ADP
esrj-113518	12	15	uav	uav	PROPN
esrj-113518	12	16	-	-	PUNCT
esrj-113518	12	17	captured	capture	VERB
esrj-113518	12	18	images	image	NOUN
esrj-113518	12	19	.	.	PUNCT
esrj-113518	13	1	this	this	DET
esrj-113518	13	2	study	study	NOUN
esrj-113518	13	3	presents	present	VERB
esrj-113518	13	4	a	a	DET
esrj-113518	13	5	comparison	comparison	NOUN
esrj-113518	13	6	of	of	ADP
esrj-113518	13	7	different	different	ADJ
esrj-113518	13	8	deep	deep	ADJ
esrj-113518	13	9	learning	learning	NOUN
esrj-113518	13	10	-	-	PUNCT
esrj-113518	13	11	based	base	VERB
esrj-113518	13	12	approach	approach	NOUN
esrj-113518	13	13	for	for	ADP
esrj-113518	13	14	supervised	supervised	ADJ
esrj-113518	13	15	image	image	NOUN
esrj-113518	13	16	classification	classification	NOUN
esrj-113518	13	17	of	of	ADP
esrj-113518	13	18	uav	uav	PROPN
esrj-113518	13	19	images	image	NOUN
esrj-113518	13	20	.	.	PUNCT
esrj-113518	14	1	we	we	PRON
esrj-113518	14	2	have	have	AUX
esrj-113518	14	3	experimented	experiment	VERB
esrj-113518	14	4	on	on	ADP
esrj-113518	14	5	four	four	NUM
esrj-113518	14	6	different	different	ADJ
esrj-113518	14	7	cnn	cnn	PROPN
esrj-113518	14	8	models	model	NOUN
esrj-113518	14	9	like	like	ADP
esrj-113518	14	10	vgg	vgg	PROPN
esrj-113518	14	11	16	16	NUM
esrj-113518	14	12	,	,	PUNCT
esrj-113518	14	13	alex	alex	PROPN
esrj-113518	14	14	net	net	PROPN
esrj-113518	14	15	,	,	PUNCT
esrj-113518	14	16	resnet50	resnet50	NOUN
esrj-113518	14	17	and	and	CCONJ
esrj-113518	14	18	a	a	DET
esrj-113518	14	19	deep	deep	ADJ
esrj-113518	14	20	neural	neural	ADJ
esrj-113518	14	21	network	network	NOUN
esrj-113518	14	22	efficient	efficient	ADJ
esrj-113518	14	23	-	-	PUNCT
esrj-113518	14	24	net	net	NOUN
esrj-113518	14	25	-	-	PUNCT
esrj-113518	14	26	b0	b0	NOUN
esrj-113518	14	27	on	on	ADP
esrj-113518	14	28	different	different	ADJ
esrj-113518	14	29	remote	remote	ADJ
esrj-113518	14	30	sensing	sense	VERB
esrj-113518	14	31	datasets	dataset	NOUN
esrj-113518	14	32	;	;	PUNCT
esrj-113518	14	33	aid	aid	NOUN
esrj-113518	14	34	and	and	CCONJ
esrj-113518	14	35	aider	aider	NOUN
esrj-113518	14	36	.	.	PUNCT
esrj-113518	15	1	multiple	multiple	ADJ
esrj-113518	15	2	combinations	combination	NOUN
esrj-113518	15	3	were	be	AUX
esrj-113518	15	4	tried	try	VERB
esrj-113518	15	5	to	to	PART
esrj-113518	15	6	find	find	VERB
esrj-113518	15	7	out	out	ADP
esrj-113518	15	8	which	which	DET
esrj-113518	15	9	model	model	NOUN
esrj-113518	15	10	performs	perform	VERB
esrj-113518	15	11	better	well	ADV
esrj-113518	15	12	on	on	ADP
esrj-113518	15	13	which	which	DET
esrj-113518	15	14	type	type	NOUN
esrj-113518	15	15	of	of	ADP
esrj-113518	15	16	datasets	dataset	NOUN
esrj-113518	15	17	.	.	PUNCT
esrj-113518	16	1	we	we	PRON
esrj-113518	16	2	have	have	AUX
esrj-113518	16	3	used	use	VERB
esrj-113518	16	4	pre	pre	ADJ
esrj-113518	16	5	-	-	ADJ
esrj-113518	16	6	trained	train	VERB
esrj-113518	16	7	initial	initial	ADJ
esrj-113518	16	8	layers	layer	NOUN
esrj-113518	16	9	of	of	ADP
esrj-113518	16	10	four	four	NUM
esrj-113518	16	11	cnn	cnn	NOUN
esrj-113518	16	12	models	model	NOUN
esrj-113518	16	13	(	(	PUNCT
esrj-113518	16	14	alexnet	alexnet	ADJ
esrj-113518	16	15	,	,	PUNCT
esrj-113518	16	16	vgg	vgg	NOUN
esrj-113518	16	17	16	16	NUM
esrj-113518	16	18	,	,	PUNCT
esrj-113518	16	19	resnet50	resnet50	NOUN
esrj-113518	16	20	and	and	CCONJ
esrj-113518	16	21	efficient	efficient	ADJ
esrj-113518	16	22	-	-	PUNCT
esrj-113518	16	23	net	net	NOUN
esrj-113518	16	24	-	-	PUNCT
esrj-113518	16	25	bo	bo	NOUN
esrj-113518	16	26	)	)	PUNCT
esrj-113518	16	27	then	then	ADV
esrj-113518	16	28	last	last	VERB
esrj-113518	16	29	three	three	NUM
esrj-113518	16	30	layers	layer	NOUN
esrj-113518	16	31	of	of	ADP
esrj-113518	16	32	each	each	PRON
esrj-113518	16	33	of	of	ADP
esrj-113518	16	34	the	the	DET
esrj-113518	16	35	selected	select	VERB
esrj-113518	16	36	models	model	NOUN
esrj-113518	16	37	are	be	AUX
esrj-113518	16	38	removed	remove	VERB
esrj-113518	16	39	and	and	CCONJ
esrj-113518	16	40	new	new	ADJ
esrj-113518	16	41	layers	layer	NOUN
esrj-113518	16	42	have	have	AUX
esrj-113518	16	43	been	be	AUX
esrj-113518	16	44	added	add	VERB
esrj-113518	16	45	with	with	ADP
esrj-113518	16	46	better	well	ADJ
esrj-113518	16	47	tuned	tune	VERB
esrj-113518	16	48	parameters	parameter	NOUN
esrj-113518	16	49	.	.	PUNCT
esrj-113518	17	1	two	two	NUM
esrj-113518	17	2	different	different	ADJ
esrj-113518	17	3	schemes	scheme	NOUN
esrj-113518	17	4	were	be	AUX
esrj-113518	17	5	analyzed	analyze	VERB
esrj-113518	17	6	.	.	PUNCT
esrj-113518	18	1	in	in	ADP
esrj-113518	18	2	scheme-1	scheme-1	CCONJ
esrj-113518	18	3	the	the	DET
esrj-113518	18	4	original	original	ADJ
esrj-113518	18	5	alexnet	alexnet	NOUN
esrj-113518	18	6	,	,	PUNCT
esrj-113518	18	7	vgg	vgg	NOUN
esrj-113518	18	8	16	16	NUM
esrj-113518	18	9	,	,	PUNCT
esrj-113518	18	10	resnet50	resnet50	NOUN
esrj-113518	18	11	and	and	CCONJ
esrj-113518	18	12	efficient	efficient	ADJ
esrj-113518	18	13	-	-	PUNCT
esrj-113518	18	14	net	net	NOUN
esrj-113518	18	15	-	-	PUNCT
esrj-113518	18	16	b0	b0	NOUN
esrj-113518	18	17	were	be	AUX
esrj-113518	18	18	experimented	experiment	VERB
esrj-113518	18	19	without	without	ADP
esrj-113518	18	20	changing	change	VERB
esrj-113518	18	21	and	and	CCONJ
esrj-113518	18	22	tuning	tune	VERB
esrj-113518	18	23	their	their	PRON
esrj-113518	18	24	number	number	NOUN
esrj-113518	18	25	of	of	ADP
esrj-113518	18	26	parameters	parameter	NOUN
esrj-113518	18	27	,	,	PUNCT
esrj-113518	18	28	while	while	SCONJ
esrj-113518	18	29	in	in	ADP
esrj-113518	18	30	scheme-2	scheme-2	NUM
esrj-113518	18	31	transfer	transfer	NOUN
esrj-113518	18	32	learning	learning	NOUN
esrj-113518	18	33	was	be	AUX
esrj-113518	18	34	applied	apply	VERB
esrj-113518	18	35	on	on	ADP
esrj-113518	18	36	the	the	DET
esrj-113518	18	37	pre	pre	ADJ
esrj-113518	18	38	-	-	ADJ
esrj-113518	18	39	trained	train	VERB
esrj-113518	18	40	models	model	NOUN
esrj-113518	18	41	and	and	CCONJ
esrj-113518	18	42	after	after	ADP
esrj-113518	18	43	removing	remove	VERB
esrj-113518	18	44	last	last	ADJ
esrj-113518	18	45	three	three	NUM
esrj-113518	18	46	layers	layer	NOUN
esrj-113518	18	47	new	new	ADJ
esrj-113518	18	48	layers	layer	NOUN
esrj-113518	18	49	were	be	AUX
esrj-113518	18	50	added	add	VERB
esrj-113518	18	51	with	with	ADP
esrj-113518	18	52	better	well	ADJ
esrj-113518	18	53	tuned	tune	VERB
esrj-113518	18	54	hyper	hyper	NOUN
esrj-113518	18	55	-	-	NOUN
esrj-113518	18	56	parameters	parameter	NOUN
esrj-113518	18	57	.	.	PUNCT
esrj-113518	19	1	the	the	DET
esrj-113518	19	2	evaluation	evaluation	NOUN
esrj-113518	19	3	of	of	ADP
esrj-113518	19	4	above	above	ADJ
esrj-113518	19	5	schemes	scheme	NOUN
esrj-113518	19	6	was	be	AUX
esrj-113518	19	7	ensured	ensure	VERB
esrj-113518	19	8	through	through	ADP
esrj-113518	19	9	comprehensive	comprehensive	ADJ
esrj-113518	19	10	metrics	metric	NOUN
esrj-113518	19	11	across	across	ADP
esrj-113518	19	12	diverse	diverse	ADJ
esrj-113518	19	13	land	land	NOUN
esrj-113518	19	14	cover	cover	NOUN
esrj-113518	19	15	classes	class	NOUN
esrj-113518	19	16	,	,	PUNCT
esrj-113518	19	17	four	four	NUM
esrj-113518	19	18	different	different	ADJ
esrj-113518	19	19	performance	performance	NOUN
esrj-113518	19	20	evaluation	evaluation	NOUN
esrj-113518	19	21	matrices	matrix	NOUN
esrj-113518	19	22	namely	namely	ADV
esrj-113518	19	23	;	;	PUNCT
esrj-113518	19	24	f1	f1	NOUN
esrj-113518	19	25	score	score	NOUN
esrj-113518	19	26	,	,	PUNCT
esrj-113518	19	27	precision	precision	NOUN
esrj-113518	19	28	,	,	PUNCT
esrj-113518	19	29	accuracy	accuracy	NOUN
esrj-113518	19	30	and	and	CCONJ
esrj-113518	19	31	recall	recall	NOUN
esrj-113518	19	32	.	.	PUNCT
esrj-113518	20	1	the	the	DET
esrj-113518	20	2	main	main	ADJ
esrj-113518	20	3	focus	focus	NOUN
esrj-113518	20	4	of	of	ADP
esrj-113518	20	5	this	this	DET
esrj-113518	20	6	research	research	NOUN
esrj-113518	20	7	is	be	AUX
esrj-113518	20	8	towards	towards	ADP
esrj-113518	20	9	transfer	transfer	NOUN
esrj-113518	20	10	learning	learning	NOUN
esrj-113518	20	11	and	and	CCONJ
esrj-113518	20	12	adding	add	VERB
esrj-113518	20	13	new	new	ADJ
esrj-113518	20	14	layers	layer	NOUN
esrj-113518	20	15	into	into	ADP
esrj-113518	20	16	pre	pre	ADJ
esrj-113518	20	17	-	-	ADJ
esrj-113518	20	18	trained	train	VERB
esrj-113518	20	19	models	model	NOUN
esrj-113518	20	20	to	to	PART
esrj-113518	20	21	get	get	VERB
esrj-113518	20	22	better	well	ADJ
esrj-113518	20	23	classification	classification	NOUN
esrj-113518	20	24	accuracy	accuracy	NOUN
esrj-113518	20	25	.	.	PUNCT
esrj-113518	21	1	keywords	keyword	NOUN
esrj-113518	21	2	:	:	PUNCT
esrj-113518	21	3	convolutional	convolutional	ADJ
esrj-113518	21	4	neural	neural	ADJ
esrj-113518	21	5	networks	network	NOUN
esrj-113518	21	6	(	(	PUNCT
esrj-113518	21	7	cnn	cnn	PROPN
esrj-113518	21	8	)	)	PUNCT
esrj-113518	21	9	,	,	PUNCT
esrj-113518	21	10	alexnet	alexnet	NOUN
esrj-113518	21	11	,	,	PUNCT
esrj-113518	21	12	resnet-50	resnet-50	PROPN
esrj-113518	21	13	,	,	PUNCT
esrj-113518	21	14	vgg16	vgg16	NOUN
esrj-113518	21	15	,	,	PUNCT
esrj-113518	21	16	efficient	efficient	ADJ
esrj-113518	21	17	-	-	PUNCT
esrj-113518	21	18	net	net	NOUN
esrj-113518	21	19	-	-	PUNCT
esrj-113518	21	20	b0	b0	NOUN
esrj-113518	21	21	,	,	PUNCT
esrj-113518	21	22	remote	remote	ADJ
esrj-113518	21	23	sensing	sensing	NOUN
esrj-113518	21	24	(	(	PUNCT
esrj-113518	21	25	rs	rs	NOUN
esrj-113518	21	26	)	)	PUNCT
esrj-113518	21	27	image	image	NOUN
esrj-113518	21	28	classification	classification	NOUN
esrj-113518	21	29	,	,	PUNCT
esrj-113518	21	30	aid	aid	NOUN
esrj-113518	21	31	,	,	PUNCT
esrj-113518	21	32	aider	aider	NOUN
esrj-113518	21	33	,	,	PUNCT
esrj-113518	21	34	unmanned	unmanned	ADJ
esrj-113518	21	35	aerial	aerial	ADJ
esrj-113518	21	36	vehicles	vehicle	NOUN
esrj-113518	21	37	(	(	PUNCT
esrj-113518	21	38	uavs	uavs	NOUN
esrj-113518	21	39	)	)	PUNCT
esrj-113518	21	40	.	.	PUNCT
esrj-113518	22	1	palabras	palabras	PROPN
esrj-113518	22	2	clave	clave	PROPN
esrj-113518	22	3	:	:	PUNCT
esrj-113518	22	4	redes	redes	PROPN
esrj-113518	22	5	neuronales	neuronale	VERB
esrj-113518	22	6	convolucionales	convolucionale	NOUN
esrj-113518	22	7	(	(	PUNCT
esrj-113518	22	8	cnn	cnn	PROPN
esrj-113518	22	9	)	)	PUNCT
esrj-113518	22	10	;	;	PUNCT
esrj-113518	22	11	alexnet	alexnet	PROPN
esrj-113518	22	12	;	;	PUNCT
esrj-113518	22	13	resnet-50	resnet-50	NUM
esrj-113518	22	14	;	;	PUNCT
esrj-113518	22	15	vgg16	vgg16	NOUN
esrj-113518	22	16	;	;	PUNCT
esrj-113518	22	17	efficient	efficient	ADJ
esrj-113518	22	18	-	-	PUNCT
esrj-113518	22	19	net	net	NOUN
esrj-113518	22	20	-	-	PUNCT
esrj-113518	22	21	b0	b0	NOUN
esrj-113518	22	22	;	;	PUNCT
esrj-113518	22	23	clasificación	clasificación	PROPN
esrj-113518	22	24	de	de	PROPN
esrj-113518	22	25	imágenes	imágenes	PROPN
esrj-113518	22	26	de	de	PROPN
esrj-113518	22	27	detección	detección	PROPN
esrj-113518	22	28	remota	remota	PROPN
esrj-113518	22	29	;	;	PUNCT
esrj-113518	22	30	grupo	grupo	PROPN
esrj-113518	22	31	de	de	X
esrj-113518	22	32	datos	datos	X
esrj-113518	22	33	aid	aid	NOUN
esrj-113518	22	34	;	;	PUNCT
esrj-113518	22	35	grupo	grupo	PROPN
esrj-113518	22	36	de	de	X
esrj-113518	22	37	datos	datos	X
esrj-113518	22	38	aider	aider	NOUN
esrj-113518	22	39	;	;	PUNCT
esrj-113518	22	40	vehículos	vehículos	X
esrj-113518	22	41	aéreos	aéreos	NOUN
esrj-113518	22	42	no	no	DET
esrj-113518	22	43	tripulados	tripulado	NOUN
esrj-113518	22	44	.	.	PUNCT
esrj-113518	23	1	clasificación	clasificación	PROPN
esrj-113518	23	2	de	de	PROPN
esrj-113518	23	3	grupos	grupos	PROPN
esrj-113518	23	4	de	de	X
esrj-113518	23	5	datos	datos	X
esrj-113518	23	6	de	de	X
esrj-113518	23	7	detección	detección	PROPN
esrj-113518	23	8	remota	remota	PROPN
esrj-113518	23	9	con	con	PROPN
esrj-113518	23	10	diferentes	diferentes	PROPN
esrj-113518	23	11	arquitecturas	arquitecturas	PROPN
esrj-113518	23	12	de	de	PROPN
esrj-113518	23	13	aprendizaje	aprendizaje	PROPN
esrj-113518	23	14	profundo	profundo	PROPN
esrj-113518	23	15	la	la	PROPN
esrj-113518	23	16	clasificación	clasificación	PROPN
esrj-113518	23	17	de	de	PROPN
esrj-113518	23	18	imágenes	imágenes	PROPN
esrj-113518	23	19	de	de	PROPN
esrj-113518	23	20	detección	detección	PROPN
esrj-113518	23	21	remota	remota	PROPN
esrj-113518	23	22	tiene	tiene	PROPN
esrj-113518	23	23	grandes	grandes	PROPN
esrj-113518	23	24	ventajas	ventajas	PROPN
esrj-113518	23	25	en	en	PROPN
esrj-113518	23	26	las	las	PROPN
esrj-113518	23	27	áreas	áreas	PROPN
esrj-113518	23	28	de	de	PROPN
esrj-113518	23	29	monitoreo	monitoreo	PROPN
esrj-113518	23	30	ambiental	ambiental	PROPN
esrj-113518	23	31	,	,	PUNCT
esrj-113518	23	32	planeación	planeación	PROPN
esrj-113518	23	33	urbana	urbana	PROPN
esrj-113518	23	34	,	,	PUNCT
esrj-113518	23	35	manejo	manejo	PROPN
esrj-113518	23	36	de	de	X
esrj-113518	23	37	desastres	desastres	PROPN
esrj-113518	23	38	y	y	PROPN
esrj-113518	23	39	muchos	muchos	PROPN
esrj-113518	23	40	otros	otros	PROPN
esrj-113518	23	41	.	.	PUNCT
esrj-113518	24	1	los	los	PROPN
esrj-113518	24	2	vehículos	vehículos	PROPN
esrj-113518	24	3	aéreos	aéreos	PROPN
esrj-113518	24	4	no	no	DET
esrj-113518	24	5	tripulados	tripulado	NOUN
esrj-113518	24	6	han	han	PROPN
esrj-113518	24	7	revolucionizado	revolucionizado	PROPN
esrj-113518	24	8	la	la	PROPN
esrj-113518	24	9	detección	detección	PROPN
esrj-113518	24	10	remota	remota	PROPN
esrj-113518	24	11	al	al	PROPN
esrj-113518	24	12	proveer	proveer	PROPN
esrj-113518	24	13	imágenes	imágenes	PROPN
esrj-113518	24	14	de	de	PROPN
esrj-113518	24	15	alta	alta	PROPN
esrj-113518	24	16	resolución	resolución	PROPN
esrj-113518	24	17	.	.	PROPN
esrj-113518	25	1	en	en	ADP
esrj-113518	25	2	este	este	PROPN
esrj-113518	25	3	contexto	contexto	NOUN
esrj-113518	25	4	,	,	PUNCT
esrj-113518	25	5	la	la	PROPN
esrj-113518	25	6	clasificación	clasificación	PROPN
esrj-113518	25	7	efectiva	efectiva	PROPN
esrj-113518	25	8	de	de	PROPN
esrj-113518	25	9	imágenes	imágenes	PROPN
esrj-113518	25	10	es	es	ADP
esrj-113518	25	11	crucial	crucial	ADJ
esrj-113518	25	12	para	para	PROPN
esrj-113518	25	13	extraer	extraer	PROPN
esrj-113518	25	14	información	información	PROPN
esrj-113518	25	15	significativa	significativa	PROPN
esrj-113518	25	16	de	de	PROPN
esrj-113518	25	17	las	las	PROPN
esrj-113518	25	18	imágenes	imágenes	PROPN
esrj-113518	25	19	capturadas	capturadas	PROPN
esrj-113518	25	20	por	por	VERB
esrj-113518	25	21	vehículos	vehículo	NOUN
esrj-113518	25	22	aéreos	aéreos	NOUN
esrj-113518	25	23	no	no	DET
esrj-113518	25	24	tripulados	tripulado	NOUN
esrj-113518	25	25	.	.	PUNCT
esrj-113518	26	1	este	este	PROPN
esrj-113518	26	2	estudio	estudio	PROPN
esrj-113518	26	3	presenta	presenta	PROPN
esrj-113518	26	4	una	una	PROPN
esrj-113518	26	5	comparación	comparación	PROPN
esrj-113518	26	6	de	de	PROPN
esrj-113518	26	7	diferentes	diferentes	PROPN
esrj-113518	26	8	técnicas	técnicas	NOUN
esrj-113518	26	9	de	de	PROPN
esrj-113518	26	10	aprendizaje	aprendizaje	PROPN
esrj-113518	26	11	profundo	profundo	PROPN
esrj-113518	26	12	para	para	PROPN
esrj-113518	26	13	la	la	PROPN
esrj-113518	26	14	clasificación	clasificación	PROPN
esrj-113518	26	15	supervisada	supervisada	PROPN
esrj-113518	26	16	de	de	PROPN
esrj-113518	26	17	imágenes	imágenes	PROPN
esrj-113518	26	18	capturadas	capturadas	PROPN
esrj-113518	26	19	por	por	VERB
esrj-113518	26	20	vehículos	vehículo	NOUN
esrj-113518	26	21	aéreos	aéreos	NOUN
esrj-113518	26	22	no	no	DET
esrj-113518	26	23	tripulados	tripulado	NOUN
esrj-113518	26	24	.	.	PUNCT
esrj-113518	27	1	los	los	PROPN
esrj-113518	27	2	autores	autores	PROPN
esrj-113518	27	3	experimentaron	experimentaron	PROPN
esrj-113518	27	4	con	con	PROPN
esrj-113518	27	5	diferentes	diferentes	PROPN
esrj-113518	27	6	grupos	grupos	PROPN
esrj-113518	27	7	de	de	X
esrj-113518	27	8	datos	datos	X
esrj-113518	27	9	aid	aid	NOUN
esrj-113518	27	10	y	y	PROPN
esrj-113518	27	11	aider	aider	NOUN
esrj-113518	27	12	en	en	PROPN
esrj-113518	27	13	cuatro	cuatro	PROPN
esrj-113518	27	14	modelos	modelos	PROPN
esrj-113518	27	15	diferentes	diferentes	PROPN
esrj-113518	27	16	de	de	PROPN
esrj-113518	27	17	redes	redes	PROPN
esrj-113518	27	18	neuronales	neuronale	VERB
esrj-113518	27	19	convolucionales	convolucionale	NOUN
esrj-113518	27	20	(	(	PUNCT
esrj-113518	27	21	cnn	cnn	PROPN
esrj-113518	27	22	)	)	PUNCT
esrj-113518	27	23	,	,	PUNCT
esrj-113518	27	24	vgg	vgg	NOUN
esrj-113518	27	25	16	16	NUM
esrj-113518	27	26	,	,	PUNCT
esrj-113518	27	27	alex	alex	PROPN
esrj-113518	27	28	net	net	PROPN
esrj-113518	27	29	,	,	PUNCT
esrj-113518	27	30	resnet50	resnet50	NOUN
esrj-113518	27	31	y	y	PROPN
esrj-113518	27	32	en	en	X
esrj-113518	27	33	la	la	X
esrj-113518	27	34	red	red	ADJ
esrj-113518	27	35	neuronal	neuronal	ADJ
esrj-113518	27	36	profunda	profunda	NOUN
esrj-113518	27	37	efficient	efficient	ADJ
esrj-113518	27	38	-	-	PUNCT
esrj-113518	27	39	net	net	NOUN
esrj-113518	27	40	-	-	PUNCT
esrj-113518	27	41	b0	b0	NOUN
esrj-113518	27	42	.	.	PUNCT
esrj-113518	28	1	se	se	PROPN
esrj-113518	28	2	intentaron	intentaron	PROPN
esrj-113518	28	3	múltiples	múltiples	PROPN
esrj-113518	28	4	combinaciones	combinaciones	PROPN
esrj-113518	28	5	para	para	PROPN
esrj-113518	28	6	encontrar	encontrar	PROPN
esrj-113518	28	7	el	el	PROPN
esrj-113518	28	8	modelo	modelo	PROPN
esrj-113518	28	9	con	con	PROPN
esrj-113518	28	10	mayor	mayor	PROPN
esrj-113518	28	11	desempeño	desempeño	VERB
esrj-113518	28	12	en	en	PROPN
esrj-113518	28	13	cada	cada	PROPN
esrj-113518	28	14	grupo	grupo	PROPN
esrj-113518	28	15	de	de	X
esrj-113518	28	16	datos	datos	X
esrj-113518	28	17	.	.	PUNCT
esrj-113518	29	1	los	los	PROPN
esrj-113518	29	2	autores	autores	PROPN
esrj-113518	29	3	usaron	usaron	PROPN
esrj-113518	29	4	capas	capas	PROPN
esrj-113518	29	5	iniciales	iniciale	NOUN
esrj-113518	29	6	de	de	X
esrj-113518	29	7	preentrenamiento	preentrenamiento	PROPN
esrj-113518	29	8	de	de	X
esrj-113518	29	9	los	los	PROPN
esrj-113518	29	10	modelos	modelos	PROPN
esrj-113518	29	11	cnn	cnn	PROPN
esrj-113518	29	12	y	y	PROPN
esrj-113518	29	13	luego	luego	PROPN
esrj-113518	29	14	se	se	PROPN
esrj-113518	29	15	retiraron	retiraron	PROPN
esrj-113518	29	16	las	las	PROPN
esrj-113518	29	17	tres	tres	X
esrj-113518	29	18	últimas	últimas	PROPN
esrj-113518	29	19	capas	capas	PROPN
esrj-113518	29	20	de	de	PROPN
esrj-113518	29	21	cada	cada	PROPN
esrj-113518	29	22	uno	uno	PROPN
esrj-113518	29	23	de	de	PROPN
esrj-113518	29	24	los	los	PROPN
esrj-113518	29	25	modelos	modelos	PROPN
esrj-113518	29	26	seleccionados	seleccionados	PROPN
esrj-113518	29	27	para	para	PROPN
esrj-113518	29	28	añadir	añadir	PROPN
esrj-113518	29	29	luego	luego	PROPN
esrj-113518	29	30	capas	capas	PROPN
esrj-113518	29	31	con	con	PROPN
esrj-113518	29	32	parámetros	parámetros	PROPN
esrj-113518	29	33	más	más	PROPN
esrj-113518	29	34	acordes	acordes	PROPN
esrj-113518	29	35	.	.	PUNCT
esrj-113518	29	36	se	se	PROPN
esrj-113518	29	37	analizaron	analizaron	PROPN
esrj-113518	29	38	dos	dos	PROPN
esrj-113518	29	39	esquemas	esquemas	PROPN
esrj-113518	29	40	diferentes	diferentes	PROPN
esrj-113518	29	41	.	.	PUNCT
esrj-113518	30	1	en	en	PROPN
esrj-113518	30	2	el	el	PROPN
esrj-113518	30	3	esquema	esquema	PROPN
esrj-113518	30	4	1	1	NUM
esrj-113518	30	5	se	se	X
esrj-113518	30	6	experimentaron	experimentaron	PROPN
esrj-113518	30	7	los	los	PROPN
esrj-113518	30	8	modelos	modelos	PROPN
esrj-113518	30	9	cnn	cnn	PROPN
esrj-113518	30	10	originales	originales	PROPN
esrj-113518	30	11	sin	sin	VERB
esrj-113518	30	12	cambiar	cambiar	PROPN
esrj-113518	30	13	y	y	PROPN
esrj-113518	30	14	sin	sin	PROPN
esrj-113518	30	15	adecuar	adecuar	NOUN
esrj-113518	30	16	el	el	PROPN
esrj-113518	30	17	número	número	PROPN
esrj-113518	30	18	de	de	PROPN
esrj-113518	30	19	parámetros	parámetros	PROPN
esrj-113518	30	20	,	,	PUNCT
esrj-113518	30	21	mientras	mientras	X
esrj-113518	30	22	que	que	X
esrj-113518	30	23	en	en	PROPN
esrj-113518	30	24	el	el	PROPN
esrj-113518	30	25	esquema	esquema	PROPN
esrj-113518	30	26	2	2	PROPN
esrj-113518	30	27	se	se	X
esrj-113518	30	28	aplicó	aplicó	PROPN
esrj-113518	30	29	la	la	PROPN
esrj-113518	30	30	transferencia	transferencia	PROPN
esrj-113518	30	31	de	de	PROPN
esrj-113518	30	32	aprendizaje	aprendizaje	PROPN
esrj-113518	30	33	en	en	PROPN
esrj-113518	30	34	los	los	PROPN
esrj-113518	30	35	modelos	modelos	PROPN
esrj-113518	30	36	pre	pre	PROPN
esrj-113518	30	37	-	-	ADJ
esrj-113518	30	38	entrenados	entrenados	ADJ
esrj-113518	30	39	y	y	PROPN
esrj-113518	30	40	después	después	PROPN
esrj-113518	30	41	de	de	PROPN
esrj-113518	30	42	remover	remover	PROPN
esrj-113518	30	43	las	las	PROPN
esrj-113518	30	44	tres	tres	X
esrj-113518	30	45	últimas	últimas	PROPN
esrj-113518	30	46	capas	capas	PROPN
esrj-113518	30	47	se	se	PROPN
esrj-113518	30	48	añadieron	añadieron	PROPN
esrj-113518	30	49	nuevas	nuevas	PROPN
esrj-113518	30	50	capas	capas	PROPN
esrj-113518	30	51	con	con	PROPN
esrj-113518	30	52	hiperparámetros	hiperparámetros	PROPN
esrj-113518	30	53	más	más	PROPN
esrj-113518	30	54	adecuados	adecuado	NOUN
esrj-113518	30	55	.	.	PUNCT
esrj-113518	31	1	la	la	PROPN
esrj-113518	31	2	evaluación	evaluación	PROPN
esrj-113518	31	3	de	de	PROPN
esrj-113518	31	4	estos	estos	PROPN
esrj-113518	31	5	esquemas	esquemas	PROPN
esrj-113518	31	6	fue	fue	PROPN
esrj-113518	31	7	asegurada	asegurada	PROPN
esrj-113518	31	8	a	a	DET
esrj-113518	31	9	través	través	X
esrj-113518	31	10	de	de	X
esrj-113518	31	11	métricas	métricas	X
esrj-113518	31	12	completas	completas	PROPN
esrj-113518	31	13	para	para	PROPN
esrj-113518	31	14	diversas	diversas	PROPN
esrj-113518	31	15	clases	clases	PROPN
esrj-113518	31	16	de	de	PROPN
esrj-113518	31	17	cobertura	cobertura	PROPN
esrj-113518	31	18	del	del	PROPN
esrj-113518	31	19	suelo	suelo	PROPN
esrj-113518	31	20	y	y	PROPN
esrj-113518	31	21	con	con	PROPN
esrj-113518	31	22	cuatro	cuatro	PROPN
esrj-113518	31	23	matrices	matrice	VERB
esrj-113518	31	24	de	de	X
esrj-113518	31	25	evaluación	evaluación	PROPN
esrj-113518	31	26	de	de	PROPN
esrj-113518	31	27	desempeño	desempeño	PROPN
esrj-113518	31	28	llamadas	llamadas	PROPN
esrj-113518	31	29	puntuación	puntuación	PROPN
esrj-113518	31	30	f1	f1	PROPN
esrj-113518	31	31	,	,	PUNCT
esrj-113518	31	32	precisión	precisión	PROPN
esrj-113518	31	33	,	,	PUNCT
esrj-113518	31	34	exactitud	exactitud	VERB
esrj-113518	31	35	y	y	PROPN
esrj-113518	31	36	exhaustividad	exhaustividad	PROPN
esrj-113518	31	37	.	.	PUNCT
esrj-113518	32	1	el	el	PROPN
esrj-113518	32	2	foco	foco	PROPN
esrj-113518	32	3	principal	principal	PROPN
esrj-113518	32	4	de	de	PROPN
esrj-113518	32	5	esta	esta	PROPN
esrj-113518	32	6	investigación	investigación	PROPN
esrj-113518	32	7	se	se	PROPN
esrj-113518	32	8	basa	basa	PROPN
esrj-113518	32	9	en	en	PROPN
esrj-113518	32	10	la	la	PROPN
esrj-113518	32	11	transferencia	transferencia	PROPN
esrj-113518	32	12	de	de	PROPN
esrj-113518	32	13	aprendizaje	aprendizaje	PROPN
esrj-113518	32	14	y	y	PROPN
esrj-113518	32	15	en	en	PROPN
esrj-113518	32	16	la	la	PROPN
esrj-113518	32	17	adición	adición	PROPN
esrj-113518	32	18	de	de	PROPN
esrj-113518	32	19	nuevas	nuevas	PROPN
esrj-113518	32	20	capas	capas	X
esrj-113518	32	21	en	en	ADP
esrj-113518	32	22	modelos	modelos	PROPN
esrj-113518	32	23	pre	pre	ADJ
esrj-113518	32	24	-	-	ADJ
esrj-113518	32	25	entrenados	entrenados	ADJ
esrj-113518	32	26	para	para	PROPN
esrj-113518	32	27	tener	tener	PROPN
esrj-113518	32	28	una	una	PROPN
esrj-113518	32	29	clasificación	clasificación	PROPN
esrj-113518	32	30	más	más	PROPN
esrj-113518	32	31	precisa	precisa	PROPN
esrj-113518	32	32	.	.	PUNCT
esrj-113518	33	1	resumen	resuman	NOUN
esrj-113518	33	2	https://doi.org/10.15446/esrj.v28n4.113518	https://doi.org/10.15446/esrj.v28n4.113518	X
esrj-113518	34	1	mailto:maryam.mehmood@numl.edu.pk	mailto:maryam.mehmood@numl.edu.pk	PROPN
esrj-113518	34	2	https://doi.org/10.15446/esrj.v28n4.113518	https://doi.org/10.15446/esrj.v28n4.113518	NUM
esrj-113518	34	3	https://doi.org/10.15446/esrj.v28n4.113518	https://doi.org/10.15446/esrj.v28n4.113518	NUM
esrj-113518	34	4	410	410	NUM
esrj-113518	34	5	maryam	maryam	PROPN
esrj-113518	34	6	mehmood	mehmood	PROPN
esrj-113518	34	7	,	,	PUNCT
esrj-113518	34	8	farhan	farhan	PROPN
esrj-113518	34	9	hussain	hussain	PROPN
esrj-113518	34	10	,	,	PUNCT
esrj-113518	34	11	ahsan	ahsan	PROPN
esrj-113518	34	12	shahzad	shahzad	PROPN
esrj-113518	34	13	,	,	PUNCT
esrj-113518	34	14	nouman	nouman	NOUN
esrj-113518	34	15	ali	ali	PROPN
esrj-113518	34	16	1	1	NUM
esrj-113518	34	17	.	.	PUNCT
esrj-113518	34	18	introduction	introduction	NOUN
esrj-113518	34	19	remote	remote	ADJ
esrj-113518	34	20	sensing	sense	VERB
esrj-113518	34	21	image	image	NOUN
esrj-113518	34	22	classifications	classification	NOUN
esrj-113518	34	23	has	have	VERB
esrj-113518	34	24	multiple	multiple	ADJ
esrj-113518	34	25	applications	application	NOUN
esrj-113518	34	26	e.g.	e.g.	ADV
esrj-113518	34	27	,	,	PUNCT
esrj-113518	34	28	environment	environment	NOUN
esrj-113518	34	29	monitoring	monitoring	NOUN
esrj-113518	34	30	,	,	PUNCT
esrj-113518	34	31	land	land	NOUN
esrj-113518	34	32	use	use	NOUN
esrj-113518	34	33	land	land	NOUN
esrj-113518	34	34	cover	cover	NOUN
esrj-113518	34	35	,	,	PUNCT
esrj-113518	34	36	disaster	disaster	NOUN
esrj-113518	34	37	management	management	NOUN
esrj-113518	34	38	,	,	PUNCT
esrj-113518	34	39	urban	urban	ADJ
esrj-113518	34	40	planning	planning	NOUN
esrj-113518	34	41	and	and	CCONJ
esrj-113518	34	42	many	many	ADJ
esrj-113518	34	43	more	more	ADJ
esrj-113518	34	44	(	(	PUNCT
esrj-113518	34	45	s.	s.	PROPN
esrj-113518	34	46	zhang	zhang	PROPN
esrj-113518	34	47	et	et	PROPN
esrj-113518	34	48	al	al	PROPN
esrj-113518	34	49	.	.	PROPN
esrj-113518	34	50	,	,	PUNCT
esrj-113518	34	51	2023	2023	NUM
esrj-113518	34	52	)	)	PUNCT
esrj-113518	34	53	.	.	PUNCT
esrj-113518	35	1	due	due	ADP
esrj-113518	35	2	to	to	ADP
esrj-113518	35	3	improvement	improvement	NOUN
esrj-113518	35	4	in	in	ADP
esrj-113518	35	5	technology	technology	NOUN
esrj-113518	35	6	,	,	PUNCT
esrj-113518	35	7	it	it	PRON
esrj-113518	35	8	has	have	AUX
esrj-113518	35	9	become	become	VERB
esrj-113518	35	10	very	very	ADV
esrj-113518	35	11	easy	easy	ADJ
esrj-113518	35	12	to	to	PART
esrj-113518	35	13	get	get	VERB
esrj-113518	35	14	satellite	satellite	NOUN
esrj-113518	35	15	images	image	NOUN
esrj-113518	35	16	of	of	ADP
esrj-113518	35	17	high	high	ADJ
esrj-113518	35	18	resolution	resolution	NOUN
esrj-113518	35	19	.	.	PUNCT
esrj-113518	36	1	getting	get	VERB
esrj-113518	36	2	useful	useful	ADJ
esrj-113518	36	3	information	information	NOUN
esrj-113518	36	4	from	from	ADP
esrj-113518	36	5	these	these	DET
esrj-113518	36	6	remote	remote	ADJ
esrj-113518	36	7	sensing	sensing	NOUN
esrj-113518	36	8	images	image	NOUN
esrj-113518	36	9	is	be	AUX
esrj-113518	36	10	a	a	DET
esrj-113518	36	11	tedious	tedious	ADJ
esrj-113518	36	12	and	and	CCONJ
esrj-113518	36	13	difficult	difficult	ADJ
esrj-113518	36	14	task	task	NOUN
esrj-113518	36	15	that	that	PRON
esrj-113518	36	16	need	need	VERB
esrj-113518	36	17	high	high	ADJ
esrj-113518	36	18	resource	resource	NOUN
esrj-113518	36	19	computation	computation	NOUN
esrj-113518	36	20	and	and	CCONJ
esrj-113518	36	21	time	time	NOUN
esrj-113518	36	22	.	.	PUNCT
esrj-113518	37	1	with	with	ADP
esrj-113518	37	2	the	the	DET
esrj-113518	37	3	passage	passage	NOUN
esrj-113518	37	4	of	of	ADP
esrj-113518	37	5	time	time	NOUN
esrj-113518	37	6	this	this	DET
esrj-113518	37	7	task	task	NOUN
esrj-113518	37	8	has	have	AUX
esrj-113518	37	9	improved	improve	VERB
esrj-113518	37	10	a	a	DET
esrj-113518	37	11	lot	lot	NOUN
esrj-113518	37	12	and	and	CCONJ
esrj-113518	37	13	now	now	ADV
esrj-113518	37	14	there	there	PRON
esrj-113518	37	15	are	be	VERB
esrj-113518	37	16	quite	quite	ADV
esrj-113518	37	17	many	many	ADJ
esrj-113518	37	18	convolutional	convolutional	ADJ
esrj-113518	37	19	neural	neural	ADJ
esrj-113518	37	20	networks	network	NOUN
esrj-113518	37	21	(	(	PUNCT
esrj-113518	37	22	cnn	cnn	PROPN
esrj-113518	37	23	)	)	PUNCT
esrj-113518	37	24	available	available	ADJ
esrj-113518	37	25	that	that	PRON
esrj-113518	37	26	can	can	AUX
esrj-113518	37	27	perform	perform	VERB
esrj-113518	37	28	image	image	NOUN
esrj-113518	37	29	interpretation	interpretation	NOUN
esrj-113518	37	30	task	task	NOUN
esrj-113518	37	31	efficiently	efficiently	ADV
esrj-113518	37	32	(	(	PUNCT
esrj-113518	37	33	pronina	pronina	PROPN
esrj-113518	37	34	&	&	CCONJ
esrj-113518	37	35	piatykop	piatykop	PROPN
esrj-113518	37	36	,	,	PUNCT
esrj-113518	37	37	2023	2023	NUM
esrj-113518	37	38	)	)	PUNCT
esrj-113518	37	39	.	.	PUNCT
esrj-113518	38	1	according	accord	VERB
esrj-113518	38	2	to	to	ADP
esrj-113518	38	3	the	the	DET
esrj-113518	38	4	literature	literature	NOUN
esrj-113518	38	5	,	,	PUNCT
esrj-113518	38	6	from	from	ADP
esrj-113518	38	7	2014	2014	NUM
esrj-113518	38	8	there	there	PRON
esrj-113518	38	9	has	have	AUX
esrj-113518	38	10	been	be	AUX
esrj-113518	38	11	a	a	DET
esrj-113518	38	12	drastic	drastic	ADJ
esrj-113518	38	13	evolution	evolution	NOUN
esrj-113518	38	14	in	in	ADP
esrj-113518	38	15	remote	remote	ADJ
esrj-113518	38	16	sensing	sense	VERB
esrj-113518	38	17	image	image	NOUN
esrj-113518	38	18	classification	classification	NOUN
esrj-113518	38	19	(	(	PUNCT
esrj-113518	38	20	kuang	kuang	PROPN
esrj-113518	38	21	&	&	CCONJ
esrj-113518	38	22	he	he	PRON
esrj-113518	38	23	,	,	PUNCT
esrj-113518	38	24	2014	2014	NUM
esrj-113518	38	25	)	)	PUNCT
esrj-113518	38	26	,	,	PUNCT
esrj-113518	38	27	the	the	DET
esrj-113518	38	28	renowned	renowned	PROPN
esrj-113518	38	29	cnn	cnn	PROPN
esrj-113518	38	30	architectures	architecture	NOUN
esrj-113518	38	31	include	include	VERB
esrj-113518	38	32	;	;	PUNCT
esrj-113518	38	33	residual	residual	ADJ
esrj-113518	38	34	network	network	NOUN
esrj-113518	38	35	(	(	PUNCT
esrj-113518	38	36	res	re	NOUN
esrj-113518	38	37	net	net	NOUN
esrj-113518	38	38	)	)	PUNCT
esrj-113518	38	39	,	,	PUNCT
esrj-113518	38	40	vgg	vgg	NOUN
esrj-113518	38	41	network	network	NOUN
esrj-113518	38	42	,	,	PUNCT
esrj-113518	38	43	google	google	PROPN
esrj-113518	38	44	net	net	PROPN
esrj-113518	38	45	and	and	CCONJ
esrj-113518	38	46	,	,	PUNCT
esrj-113518	38	47	alex	alex	PROPN
esrj-113518	38	48	net	net	PROPN
esrj-113518	38	49	(	(	PUNCT
esrj-113518	38	50	song	song	NOUN
esrj-113518	38	51	,	,	PUNCT
esrj-113518	38	52	gao	gao	PROPN
esrj-113518	38	53	,	,	PUNCT
esrj-113518	38	54	zhu	zhu	PROPN
esrj-113518	38	55	,	,	PUNCT
esrj-113518	38	56	&	&	CCONJ
esrj-113518	38	57	ma	ma	PROPN
esrj-113518	38	58	,	,	PUNCT
esrj-113518	38	59	2019	2019	NUM
esrj-113518	38	60	)	)	PUNCT
esrj-113518	38	61	.	.	PUNCT
esrj-113518	39	1	latest	late	ADJ
esrj-113518	39	2	deep	deep	ADJ
esrj-113518	39	3	neural	neural	ADJ
esrj-113518	39	4	networks	network	NOUN
esrj-113518	39	5	includes	include	VERB
esrj-113518	39	6	efficient	efficient	ADJ
esrj-113518	39	7	net	net	NOUN
esrj-113518	39	8	that	that	PRON
esrj-113518	39	9	ranges	range	VERB
esrj-113518	39	10	from	from	ADP
esrj-113518	39	11	b0	b0	NOUN
esrj-113518	39	12	-	-	PUNCT
esrj-113518	39	13	b7	b7	NOUN
esrj-113518	39	14	efficient	efficient	ADJ
esrj-113518	39	15	-	-	PUNCT
esrj-113518	39	16	net	net	NOUN
esrj-113518	39	17	-	-	PUNCT
esrj-113518	39	18	b0	b0	NOUN
esrj-113518	39	19	has	have	VERB
esrj-113518	39	20	290	290	NUM
esrj-113518	39	21	layers	layer	NOUN
esrj-113518	39	22	and	and	CCONJ
esrj-113518	39	23	efficient	efficient	ADJ
esrj-113518	39	24	-	-	PUNCT
esrj-113518	39	25	net	net	NOUN
esrj-113518	39	26	-	-	PUNCT
esrj-113518	39	27	b7	b7	PROPN
esrj-113518	39	28	had	have	VERB
esrj-113518	39	29	813	813	NUM
esrj-113518	39	30	layers	layer	NOUN
esrj-113518	39	31	in	in	ADP
esrj-113518	39	32	the	the	DET
esrj-113518	39	33	base	base	NOUN
esrj-113518	39	34	models	model	NOUN
esrj-113518	39	35	(	(	PUNCT
esrj-113518	39	36	huang	huang	PROPN
esrj-113518	39	37	,	,	PUNCT
esrj-113518	39	38	liu	liu	PROPN
esrj-113518	39	39	,	,	PUNCT
esrj-113518	39	40	van	van	PROPN
esrj-113518	39	41	der	der	NOUN
esrj-113518	39	42	maaten	maaten	VERB
esrj-113518	39	43	,	,	PUNCT
esrj-113518	39	44	&	&	CCONJ
esrj-113518	39	45	weinberger	weinberger	PROPN
esrj-113518	39	46	,	,	PUNCT
esrj-113518	39	47	2017	2017	NUM
esrj-113518	39	48	)	)	PUNCT
esrj-113518	39	49	.	.	PUNCT
esrj-113518	40	1	the	the	DET
esrj-113518	40	2	main	main	ADJ
esrj-113518	40	3	focus	focus	NOUN
esrj-113518	40	4	of	of	ADP
esrj-113518	40	5	this	this	DET
esrj-113518	40	6	research	research	NOUN
esrj-113518	40	7	on	on	ADP
esrj-113518	40	8	remote	remote	ADJ
esrj-113518	40	9	sensing	sense	VERB
esrj-113518	40	10	image	image	NOUN
esrj-113518	40	11	classification	classification	NOUN
esrj-113518	40	12	is	be	AUX
esrj-113518	40	13	to	to	PART
esrj-113518	40	14	achieve	achieve	VERB
esrj-113518	40	15	a	a	DET
esrj-113518	40	16	cnn	cnn	PROPN
esrj-113518	40	17	model	model	NOUN
esrj-113518	40	18	that	that	PRON
esrj-113518	40	19	has	have	AUX
esrj-113518	40	20	improved	improve	VERB
esrj-113518	40	21	accuracy	accuracy	NOUN
esrj-113518	40	22	.	.	PUNCT
esrj-113518	41	1	so	so	SCONJ
esrj-113518	41	2	that	that	SCONJ
esrj-113518	41	3	we	we	PRON
esrj-113518	41	4	can	can	AUX
esrj-113518	41	5	accurately	accurately	ADV
esrj-113518	41	6	predict	predict	VERB
esrj-113518	41	7	the	the	DET
esrj-113518	41	8	scenes	scene	NOUN
esrj-113518	41	9	,	,	PUNCT
esrj-113518	41	10	especially	especially	ADV
esrj-113518	41	11	when	when	SCONJ
esrj-113518	41	12	there	there	PRON
esrj-113518	41	13	is	be	VERB
esrj-113518	41	14	a	a	DET
esrj-113518	41	15	disaster	disaster	NOUN
esrj-113518	41	16	and	and	CCONJ
esrj-113518	41	17	accurate	accurate	ADJ
esrj-113518	41	18	and	and	CCONJ
esrj-113518	41	19	timely	timely	ADJ
esrj-113518	41	20	prediction	prediction	NOUN
esrj-113518	41	21	is	be	AUX
esrj-113518	41	22	required	require	VERB
esrj-113518	41	23	.	.	PUNCT
esrj-113518	42	1	there	there	PRON
esrj-113518	42	2	exists	exist	VERB
esrj-113518	42	3	a	a	DET
esrj-113518	42	4	huge	huge	ADJ
esrj-113518	42	5	gap	gap	NOUN
esrj-113518	42	6	to	to	PART
esrj-113518	42	7	improve	improve	VERB
esrj-113518	42	8	performance	performance	NOUN
esrj-113518	42	9	of	of	ADP
esrj-113518	42	10	these	these	DET
esrj-113518	42	11	cnn	cnn	NOUN
esrj-113518	42	12	by	by	ADP
esrj-113518	42	13	improving	improve	VERB
esrj-113518	42	14	their	their	PRON
esrj-113518	42	15	architecture	architecture	NOUN
esrj-113518	42	16	(	(	PUNCT
esrj-113518	42	17	jeddi	jeddi	NOUN
esrj-113518	42	18	,	,	PUNCT
esrj-113518	42	19	shafieezadeh	shafieezadeh	NOUN
esrj-113518	42	20	,	,	PUNCT
esrj-113518	42	21	&	&	CCONJ
esrj-113518	42	22	nateghi	nateghi	PROPN
esrj-113518	42	23	,	,	PUNCT
esrj-113518	42	24	2023	2023	NUM
esrj-113518	42	25	)	)	PUNCT
esrj-113518	42	26	.	.	PUNCT
esrj-113518	43	1	also	also	ADV
esrj-113518	43	2	,	,	PUNCT
esrj-113518	43	3	to	to	PART
esrj-113518	43	4	understand	understand	VERB
esrj-113518	43	5	the	the	DET
esrj-113518	43	6	architecture	architecture	NOUN
esrj-113518	43	7	and	and	CCONJ
esrj-113518	43	8	improve	improve	VERB
esrj-113518	43	9	the	the	DET
esrj-113518	43	10	performance	performance	NOUN
esrj-113518	43	11	by	by	ADP
esrj-113518	43	12	network	network	NOUN
esrj-113518	43	13	tweaking	tweaking	NOUN
esrj-113518	43	14	.	.	PUNCT
esrj-113518	44	1	another	another	DET
esrj-113518	44	2	issue	issue	NOUN
esrj-113518	44	3	that	that	PRON
esrj-113518	44	4	still	still	ADV
esrj-113518	44	5	holds	hold	VERB
esrj-113518	44	6	in	in	ADP
esrj-113518	44	7	efficient	efficient	ADJ
esrj-113518	44	8	interpretation	interpretation	NOUN
esrj-113518	44	9	of	of	ADP
esrj-113518	44	10	remote	remote	ADJ
esrj-113518	44	11	images	image	NOUN
esrj-113518	44	12	is	be	AUX
esrj-113518	44	13	that	that	SCONJ
esrj-113518	44	14	most	most	ADJ
esrj-113518	44	15	of	of	ADP
esrj-113518	44	16	the	the	DET
esrj-113518	44	17	existing	exist	VERB
esrj-113518	44	18	cnn	cnn	NOUN
esrj-113518	44	19	models	model	NOUN
esrj-113518	44	20	are	be	AUX
esrj-113518	44	21	pre	pre	ADJ
esrj-113518	44	22	-	-	VERB
esrj-113518	44	23	trained	train	VERB
esrj-113518	44	24	on	on	ADP
esrj-113518	44	25	image	image	NOUN
esrj-113518	44	26	net	net	NOUN
esrj-113518	44	27	which	which	PRON
esrj-113518	44	28	is	be	AUX
esrj-113518	44	29	quite	quite	ADV
esrj-113518	44	30	different	different	ADJ
esrj-113518	44	31	from	from	ADP
esrj-113518	44	32	remote	remote	ADJ
esrj-113518	44	33	images	image	NOUN
esrj-113518	44	34	in	in	ADP
esrj-113518	44	35	terms	term	NOUN
esrj-113518	44	36	spectral	spectral	ADJ
esrj-113518	44	37	bands	band	NOUN
esrj-113518	44	38	,	,	PUNCT
esrj-113518	44	39	spatial	spatial	ADJ
esrj-113518	44	40	resolution	resolution	NOUN
esrj-113518	44	41	,	,	PUNCT
esrj-113518	44	42	and	and	CCONJ
esrj-113518	44	43	radiometric	radiometric	ADJ
esrj-113518	44	44	resolution	resolution	NOUN
esrj-113518	44	45	so	so	SCONJ
esrj-113518	44	46	the	the	DET
esrj-113518	44	47	process	process	NOUN
esrj-113518	44	48	of	of	ADP
esrj-113518	44	49	transfer	transfer	NOUN
esrj-113518	44	50	learning	learning	NOUN
esrj-113518	44	51	does	do	AUX
esrj-113518	44	52	n’t	not	PART
esrj-113518	44	53	give	give	VERB
esrj-113518	44	54	very	very	ADV
esrj-113518	44	55	accurate	accurate	ADJ
esrj-113518	44	56	results	result	NOUN
esrj-113518	44	57	(	(	PUNCT
esrj-113518	44	58	lilay	lilay	NOUN
esrj-113518	44	59	&	&	CCONJ
esrj-113518	44	60	taye	taye	PROPN
esrj-113518	44	61	,	,	PUNCT
esrj-113518	44	62	2023	2023	NUM
esrj-113518	44	63	)	)	PUNCT
esrj-113518	44	64	.	.	PUNCT
esrj-113518	45	1	another	another	DET
esrj-113518	45	2	issue	issue	NOUN
esrj-113518	45	3	with	with	ADP
esrj-113518	45	4	rs	rs	ADJ
esrj-113518	45	5	image	image	NOUN
esrj-113518	45	6	classification	classification	NOUN
esrj-113518	45	7	is	be	AUX
esrj-113518	45	8	that	that	SCONJ
esrj-113518	45	9	,	,	PUNCT
esrj-113518	45	10	most	most	ADJ
esrj-113518	45	11	of	of	ADP
esrj-113518	45	12	the	the	DET
esrj-113518	45	13	existing	exist	VERB
esrj-113518	45	14	cnn	cnn	PROPN
esrj-113518	45	15	model	model	NOUN
esrj-113518	45	16	giving	give	VERB
esrj-113518	45	17	very	very	ADV
esrj-113518	45	18	good	good	ADJ
esrj-113518	45	19	accuracy	accuracy	NOUN
esrj-113518	45	20	is	be	AUX
esrj-113518	45	21	very	very	ADV
esrj-113518	45	22	bulky	bulky	ADJ
esrj-113518	45	23	and	and	CCONJ
esrj-113518	45	24	require	require	VERB
esrj-113518	45	25	high	high	ADJ
esrj-113518	45	26	computational	computational	ADJ
esrj-113518	45	27	systems	system	NOUN
esrj-113518	45	28	and	and	CCONJ
esrj-113518	45	29	storage	storage	NOUN
esrj-113518	45	30	requirement	requirement	NOUN
esrj-113518	45	31	(	(	PUNCT
esrj-113518	45	32	s.	s.	PROPN
esrj-113518	45	33	song	song	PROPN
esrj-113518	45	34	et	et	PROPN
esrj-113518	45	35	al	al	PROPN
esrj-113518	45	36	.	.	PROPN
esrj-113518	45	37	,	,	PUNCT
esrj-113518	45	38	2019	2019	NUM
esrj-113518	45	39	)	)	PUNCT
esrj-113518	45	40	.	.	PUNCT
esrj-113518	46	1	there	there	PRON
esrj-113518	46	2	is	be	VERB
esrj-113518	46	3	a	a	DET
esrj-113518	46	4	need	need	NOUN
esrj-113518	46	5	to	to	PART
esrj-113518	46	6	focus	focus	VERB
esrj-113518	46	7	towards	towards	ADP
esrj-113518	46	8	tweaking	tweaking	NOUN
esrj-113518	46	9	and	and	CCONJ
esrj-113518	46	10	tuning	tuning	NOUN
esrj-113518	46	11	of	of	ADP
esrj-113518	46	12	existing	exist	VERB
esrj-113518	46	13	small	small	ADJ
esrj-113518	46	14	networks	network	NOUN
esrj-113518	46	15	to	to	PART
esrj-113518	46	16	get	get	VERB
esrj-113518	46	17	better	well	ADJ
esrj-113518	46	18	accuracy	accuracy	NOUN
esrj-113518	46	19	(	(	PUNCT
esrj-113518	46	20	x.	x.	PROPN
esrj-113518	46	21	cheng	cheng	PROPN
esrj-113518	46	22	et	et	PROPN
esrj-113518	46	23	al	al	PROPN
esrj-113518	46	24	.	.	PROPN
esrj-113518	46	25	,	,	PUNCT
esrj-113518	46	26	2022	2022	NUM
esrj-113518	46	27	)	)	PUNCT
esrj-113518	46	28	.	.	PUNCT
esrj-113518	47	1	by	by	ADP
esrj-113518	47	2	adjusting	adjust	VERB
esrj-113518	47	3	hyper	hyper	ADJ
esrj-113518	47	4	parameters	parameter	NOUN
esrj-113518	47	5	and	and	CCONJ
esrj-113518	47	6	network	network	NOUN
esrj-113518	47	7	tweaking	tweaking	NOUN
esrj-113518	47	8	,	,	PUNCT
esrj-113518	47	9	where	where	SCONJ
esrj-113518	47	10	we	we	PRON
esrj-113518	47	11	change	change	VERB
esrj-113518	47	12	the	the	DET
esrj-113518	47	13	existing	exist	VERB
esrj-113518	47	14	base	base	NOUN
esrj-113518	47	15	models	model	NOUN
esrj-113518	47	16	by	by	ADP
esrj-113518	47	17	adding	add	VERB
esrj-113518	47	18	or	or	CCONJ
esrj-113518	47	19	removing	remove	VERB
esrj-113518	47	20	the	the	DET
esrj-113518	47	21	layers	layer	NOUN
esrj-113518	47	22	,	,	PUNCT
esrj-113518	47	23	in	in	ADP
esrj-113518	47	24	our	our	PRON
esrj-113518	47	25	case	case	NOUN
esrj-113518	47	26	by	by	ADP
esrj-113518	47	27	network	network	NOUN
esrj-113518	47	28	tweaking	tweaking	NOUN
esrj-113518	47	29	it	it	PRON
esrj-113518	47	30	is	be	AUX
esrj-113518	47	31	meant	mean	VERB
esrj-113518	47	32	that	that	SCONJ
esrj-113518	47	33	we	we	PRON
esrj-113518	47	34	have	have	AUX
esrj-113518	47	35	removed	remove	VERB
esrj-113518	47	36	the	the	DET
esrj-113518	47	37	last	last	ADJ
esrj-113518	47	38	three	three	NUM
esrj-113518	47	39	layers	layer	NOUN
esrj-113518	47	40	and	and	CCONJ
esrj-113518	47	41	added	add	VERB
esrj-113518	47	42	three	three	NUM
esrj-113518	47	43	new	new	ADJ
esrj-113518	47	44	layers	layer	NOUN
esrj-113518	47	45	.	.	PUNCT
esrj-113518	48	1	the	the	DET
esrj-113518	48	2	main	main	ADJ
esrj-113518	48	3	research	research	NOUN
esrj-113518	48	4	contributions	contribution	NOUN
esrj-113518	48	5	are	be	AUX
esrj-113518	48	6	as	as	ADV
esrj-113518	48	7	under	under	ADV
esrj-113518	48	8	;	;	PUNCT
esrj-113518	48	9	•	•	NUM
esrj-113518	48	10	four	four	NUM
esrj-113518	48	11	different	different	ADJ
esrj-113518	48	12	deep	deep	ADJ
esrj-113518	48	13	learning	learning	NOUN
esrj-113518	48	14	models	model	NOUN
esrj-113518	48	15	were	be	AUX
esrj-113518	48	16	tested	test	VERB
esrj-113518	48	17	by	by	ADP
esrj-113518	48	18	implying	imply	VERB
esrj-113518	48	19	transfer	transfer	NOUN
esrj-113518	48	20	learning	learning	NOUN
esrj-113518	48	21	.	.	PUNCT
esrj-113518	49	1	the	the	DET
esrj-113518	49	2	last	last	ADJ
esrj-113518	49	3	three	three	NUM
esrj-113518	49	4	layers	layer	NOUN
esrj-113518	49	5	of	of	ADP
esrj-113518	49	6	pre	pre	ADJ
esrj-113518	49	7	-	-	ADJ
esrj-113518	49	8	trained	train	VERB
esrj-113518	49	9	model	model	NOUN
esrj-113518	49	10	was	be	AUX
esrj-113518	49	11	removed	remove	VERB
esrj-113518	49	12	and	and	CCONJ
esrj-113518	49	13	three	three	NUM
esrj-113518	49	14	new	new	ADJ
esrj-113518	49	15	layers	layer	NOUN
esrj-113518	49	16	were	be	AUX
esrj-113518	49	17	added	add	VERB
esrj-113518	49	18	with	with	ADP
esrj-113518	49	19	tuned	tune	VERB
esrj-113518	49	20	parameters	parameter	NOUN
esrj-113518	49	21	and	and	CCONJ
esrj-113518	49	22	hyper	hyper	ADJ
esrj-113518	49	23	parameters	parameter	NOUN
esrj-113518	49	24	.	.	PUNCT
esrj-113518	50	1	•	•	NUM
esrj-113518	50	2	experimentation	experimentation	NOUN
esrj-113518	50	3	was	be	AUX
esrj-113518	50	4	performed	perform	VERB
esrj-113518	50	5	on	on	ADP
esrj-113518	50	6	two	two	NUM
esrj-113518	50	7	different	different	ADJ
esrj-113518	50	8	remote	remote	ADJ
esrj-113518	50	9	sensing	sensing	NOUN
esrj-113518	50	10	(	(	PUNCT
esrj-113518	50	11	rs	rs	NOUN
esrj-113518	50	12	)	)	PUNCT
esrj-113518	50	13	data	datum	NOUN
esrj-113518	50	14	sets	set	NOUN
esrj-113518	50	15	;	;	PUNCT
esrj-113518	50	16	aid	aid	NOUN
esrj-113518	50	17	and	and	CCONJ
esrj-113518	50	18	aider	aider	NOUN
esrj-113518	50	19	on	on	ADP
esrj-113518	50	20	four	four	NUM
esrj-113518	50	21	different	different	ADJ
esrj-113518	50	22	cnn	cnn	PROPN
esrj-113518	50	23	models	model	NOUN
esrj-113518	50	24	.	.	PUNCT
esrj-113518	51	1	•	•	NUM
esrj-113518	51	2	two	two	NUM
esrj-113518	51	3	types	type	NOUN
esrj-113518	51	4	of	of	ADP
esrj-113518	51	5	comparative	comparative	ADJ
esrj-113518	51	6	analysis	analysis	NOUN
esrj-113518	51	7	have	have	AUX
esrj-113518	51	8	been	be	AUX
esrj-113518	51	9	performed	perform	VERB
esrj-113518	51	10	;	;	PUNCT
esrj-113518	51	11	one	one	NUM
esrj-113518	51	12	with	with	ADP
esrj-113518	51	13	the	the	DET
esrj-113518	51	14	original	original	ADJ
esrj-113518	51	15	deep	deep	ADJ
esrj-113518	51	16	learning	learning	NOUN
esrj-113518	51	17	models	model	NOUN
esrj-113518	51	18	and	and	CCONJ
esrj-113518	51	19	the	the	DET
esrj-113518	51	20	other	other	ADJ
esrj-113518	51	21	one	one	NUM
esrj-113518	51	22	with	with	ADP
esrj-113518	51	23	the	the	DET
esrj-113518	51	24	recent	recent	ADJ
esrj-113518	51	25	published	publish	VERB
esrj-113518	51	26	research	research	NOUN
esrj-113518	51	27	.	.	PUNCT
esrj-113518	52	1	2	2	X
esrj-113518	52	2	.	.	X
esrj-113518	52	3	related	relate	VERB
esrj-113518	52	4	work	work	NOUN
esrj-113518	52	5	rs	rs	NOUN
esrj-113518	52	6	scene	scene	NOUN
esrj-113518	52	7	classification	classification	NOUN
esrj-113518	52	8	with	with	ADP
esrj-113518	52	9	cnn	cnn	PROPN
esrj-113518	52	10	models	model	NOUN
esrj-113518	52	11	has	have	AUX
esrj-113518	52	12	advanced	advance	VERB
esrj-113518	52	13	significantly	significantly	ADV
esrj-113518	52	14	since	since	SCONJ
esrj-113518	52	15	2014	2014	NUM
esrj-113518	52	16	.	.	PUNCT
esrj-113518	53	1	even	even	ADV
esrj-113518	53	2	while	while	SCONJ
esrj-113518	53	3	cnn	cnn	PROPN
esrj-113518	53	4	-	-	PUNCT
esrj-113518	53	5	based	base	VERB
esrj-113518	53	6	techniques	technique	NOUN
esrj-113518	53	7	have	have	AUX
esrj-113518	53	8	been	be	AUX
esrj-113518	53	9	remarkably	remarkably	ADV
esrj-113518	53	10	successful	successful	ADJ
esrj-113518	53	11	at	at	ADP
esrj-113518	53	12	classifying	classify	VERB
esrj-113518	53	13	rs	rs	ADJ
esrj-113518	53	14	scenes	scene	NOUN
esrj-113518	53	15	,	,	PUNCT
esrj-113518	53	16	designing	design	VERB
esrj-113518	53	17	network	network	NOUN
esrj-113518	53	18	architectures	architecture	NOUN
esrj-113518	53	19	—	—	PUNCT
esrj-113518	53	20	which	which	PRON
esrj-113518	53	21	is	be	AUX
esrj-113518	53	22	essential	essential	ADJ
esrj-113518	53	23	to	to	ADP
esrj-113518	53	24	the	the	DET
esrj-113518	53	25	cnn	cnn	PROPN
esrj-113518	53	26	models	model	NOUN
esrj-113518	53	27	’	'	PUNCT
esrj-113518	53	28	performance	performance	NOUN
esrj-113518	53	29	—	—	PUNCT
esrj-113518	53	30	remains	remain	VERB
esrj-113518	53	31	a	a	DET
esrj-113518	53	32	very	very	ADV
esrj-113518	53	33	difficult	difficult	ADJ
esrj-113518	53	34	task	task	NOUN
esrj-113518	53	35	(	(	PUNCT
esrj-113518	53	36	rodriguez	rodriguez	NOUN
esrj-113518	53	37	-	-	PUNCT
esrj-113518	53	38	conde	conde	PROPN
esrj-113518	53	39	,	,	PUNCT
esrj-113518	53	40	campos	campos	PROPN
esrj-113518	53	41	,	,	PUNCT
esrj-113518	53	42	&	&	CCONJ
esrj-113518	53	43	fernandez	fernandez	PROPN
esrj-113518	53	44	-	-	PUNCT
esrj-113518	53	45	riverola	riverola	PROPN
esrj-113518	53	46	,	,	PUNCT
esrj-113518	53	47	2022	2022	NUM
esrj-113518	53	48	)	)	PUNCT
esrj-113518	53	49	.	.	PUNCT
esrj-113518	54	1	the	the	DET
esrj-113518	54	2	most	most	ADV
esrj-113518	54	3	advanced	advanced	ADJ
esrj-113518	54	4	designing	designing	NOUN
esrj-113518	54	5	a	a	DET
esrj-113518	54	6	cnn	cnn	NOUN
esrj-113518	54	7	architecture	architecture	NOUN
esrj-113518	54	8	calls	call	VERB
esrj-113518	54	9	for	for	ADP
esrj-113518	54	10	proficiency	proficiency	NOUN
esrj-113518	54	11	in	in	ADP
esrj-113518	54	12	both	both	DET
esrj-113518	54	13	domain	domain	NOUN
esrj-113518	54	14	knowledge	knowledge	NOUN
esrj-113518	54	15	and	and	CCONJ
esrj-113518	54	16	deep	deep	ADJ
esrj-113518	54	17	learning	learning	NOUN
esrj-113518	54	18	methodology	methodology	NOUN
esrj-113518	54	19	.	.	PUNCT
esrj-113518	55	1	aside	aside	ADV
esrj-113518	55	2	from	from	ADP
esrj-113518	55	3	the	the	DET
esrj-113518	55	4	fact	fact	NOUN
esrj-113518	55	5	that	that	SCONJ
esrj-113518	55	6	creating	create	VERB
esrj-113518	55	7	handcrafted	handcraft	VERB
esrj-113518	55	8	architecture	architecture	NOUN
esrj-113518	55	9	takes	take	VERB
esrj-113518	55	10	time	time	NOUN
esrj-113518	55	11	and	and	CCONJ
esrj-113518	55	12	is	be	AUX
esrj-113518	55	13	prone	prone	ADJ
esrj-113518	55	14	to	to	ADP
esrj-113518	55	15	mistakes	mistake	NOUN
esrj-113518	55	16	(	(	PUNCT
esrj-113518	55	17	velayudhan	velayudhan	ADJ
esrj-113518	55	18	,	,	PUNCT
esrj-113518	55	19	hassan	hassan	PROPN
esrj-113518	55	20	,	,	PUNCT
esrj-113518	55	21	ahmed	ahmed	PROPN
esrj-113518	55	22	,	,	PUNCT
esrj-113518	55	23	damiani	damiani	PROPN
esrj-113518	55	24	,	,	PUNCT
esrj-113518	55	25	&	&	CCONJ
esrj-113518	55	26	werghi	werghi	PROPN
esrj-113518	55	27	,	,	PUNCT
esrj-113518	55	28	2022	2022	NUM
esrj-113518	55	29	)	)	PUNCT
esrj-113518	55	30	,	,	PUNCT
esrj-113518	55	31	in	in	ADP
esrj-113518	55	32	practice	practice	NOUN
esrj-113518	55	33	,	,	PUNCT
esrj-113518	55	34	it	it	PRON
esrj-113518	55	35	is	be	AUX
esrj-113518	55	36	common	common	ADJ
esrj-113518	55	37	to	to	PART
esrj-113518	55	38	find	find	VERB
esrj-113518	55	39	a	a	DET
esrj-113518	55	40	dearth	dearth	NOUN
esrj-113518	55	41	of	of	ADP
esrj-113518	55	42	experts	expert	NOUN
esrj-113518	55	43	with	with	ADP
esrj-113518	55	44	substantial	substantial	ADJ
esrj-113518	55	45	understanding	understanding	NOUN
esrj-113518	55	46	in	in	ADP
esrj-113518	55	47	both	both	CCONJ
esrj-113518	55	48	the	the	DET
esrj-113518	55	49	examined	examine	VERB
esrj-113518	55	50	topic	topic	NOUN
esrj-113518	55	51	and	and	CCONJ
esrj-113518	55	52	deep	deep	ADJ
esrj-113518	55	53	learning	learning	NOUN
esrj-113518	55	54	technology	technology	NOUN
esrj-113518	55	55	.	.	PUNCT
esrj-113518	56	1	these	these	DET
esrj-113518	56	2	spatial	spatial	ADJ
esrj-113518	56	3	cues	cue	NOUN
esrj-113518	56	4	can	can	AUX
esrj-113518	56	5	improve	improve	VERB
esrj-113518	56	6	the	the	DET
esrj-113518	56	7	trained	train	VERB
esrj-113518	56	8	model	model	NOUN
esrj-113518	56	9	’s	’s	PART
esrj-113518	56	10	capacity	capacity	NOUN
esrj-113518	56	11	for	for	ADP
esrj-113518	56	12	learning	learning	NOUN
esrj-113518	56	13	and	and	CCONJ
esrj-113518	56	14	classification	classification	NOUN
esrj-113518	56	15	accuracy	accuracy	NOUN
esrj-113518	56	16	in	in	ADP
esrj-113518	56	17	the	the	DET
esrj-113518	56	18	context	context	NOUN
esrj-113518	56	19	of	of	ADP
esrj-113518	56	20	remote	remote	ADJ
esrj-113518	56	21	sensing	sense	VERB
esrj-113518	56	22	picture	picture	NOUN
esrj-113518	56	23	classification	classification	NOUN
esrj-113518	56	24	(	(	PUNCT
esrj-113518	56	25	x.	x.	PROPN
esrj-113518	56	26	cheng	cheng	PROPN
esrj-113518	56	27	et	et	PROPN
esrj-113518	56	28	al	al	PROPN
esrj-113518	56	29	.	.	PROPN
esrj-113518	56	30	,	,	PUNCT
esrj-113518	56	31	2022	2022	NUM
esrj-113518	56	32	)	)	PUNCT
esrj-113518	56	33	.	.	PUNCT
esrj-113518	57	1	an	an	DET
esrj-113518	57	2	image	image	NOUN
esrj-113518	57	3	format	format	NOUN
esrj-113518	57	4	based	base	VERB
esrj-113518	57	5	on	on	ADP
esrj-113518	57	6	rotation	rotation	NOUN
esrj-113518	57	7	invariant	invariant	ADJ
esrj-113518	57	8	feature	feature	NOUN
esrj-113518	57	9	vectors	vector	NOUN
esrj-113518	57	10	that	that	PRON
esrj-113518	57	11	use	use	VERB
esrj-113518	57	12	orthogonal	orthogonal	ADJ
esrj-113518	57	13	vector	vector	NOUN
esrj-113518	57	14	histograms	histogram	NOUN
esrj-113518	57	15	to	to	PART
esrj-113518	57	16	compute	compute	VERB
esrj-113518	57	17	spatial	spatial	ADJ
esrj-113518	57	18	cues	cue	NOUN
esrj-113518	57	19	(	(	PUNCT
esrj-113518	57	20	pittaras	pittaras	PROPN
esrj-113518	57	21	,	,	PUNCT
esrj-113518	57	22	giannakopoulos	giannakopoulos	PROPN
esrj-113518	57	23	,	,	PUNCT
esrj-113518	57	24	stamatopoulos	stamatopoulos	PROPN
esrj-113518	57	25	,	,	PUNCT
esrj-113518	57	26	&	&	CCONJ
esrj-113518	57	27	karkaletsis	karkaletsis	NOUN
esrj-113518	57	28	,	,	PUNCT
esrj-113518	57	29	2023	2023	NUM
esrj-113518	57	30	)	)	PUNCT
esrj-113518	57	31	.	.	PUNCT
esrj-113518	58	1	publicly	publicly	ADV
esrj-113518	58	2	assessable	assessable	ADJ
esrj-113518	58	3	satellite	satellite	NOUN
esrj-113518	58	4	image	image	NOUN
esrj-113518	58	5	benchmarks	benchmark	NOUN
esrj-113518	58	6	(	(	PUNCT
esrj-113518	58	7	rsscn	rsscn	NOUN
esrj-113518	58	8	,	,	PUNCT
esrj-113518	58	9	aid	aid	NOUN
esrj-113518	58	10	and	and	CCONJ
esrj-113518	58	11	siri	siri	NOUN
esrj-113518	58	12	-	-	PUNCT
esrj-113518	58	13	whu	whu	PROPN
esrj-113518	58	14	)	)	PUNCT
esrj-113518	58	15	are	be	AUX
esrj-113518	58	16	used	use	VERB
esrj-113518	58	17	in	in	ADP
esrj-113518	58	18	the	the	DET
esrj-113518	58	19	computation	computation	NOUN
esrj-113518	58	20	of	of	ADP
esrj-113518	58	21	the	the	DET
esrj-113518	58	22	results	result	NOUN
esrj-113518	58	23	.	.	PUNCT
esrj-113518	59	1	using	use	VERB
esrj-113518	59	2	a	a	DET
esrj-113518	59	3	fresh	fresh	ADJ
esrj-113518	59	4	data	datum	NOUN
esrj-113518	59	5	set	set	VERB
esrj-113518	59	6	with	with	ADP
esrj-113518	59	7	a	a	DET
esrj-113518	59	8	varied	varied	ADJ
esrj-113518	59	9	number	number	NOUN
esrj-113518	59	10	of	of	ADP
esrj-113518	59	11	classes	class	NOUN
esrj-113518	59	12	,	,	PUNCT
esrj-113518	59	13	fine	fine	ADV
esrj-113518	59	14	-	-	PUNCT
esrj-113518	59	15	tuning	tuning	NOUN
esrj-113518	59	16	is	be	AUX
esrj-113518	59	17	a	a	DET
esrj-113518	59	18	technique	technique	NOUN
esrj-113518	59	19	used	use	VERB
esrj-113518	59	20	in	in	ADP
esrj-113518	59	21	conjunction	conjunction	NOUN
esrj-113518	59	22	with	with	ADP
esrj-113518	59	23	transfer	transfer	NOUN
esrj-113518	59	24	learning	learn	VERB
esrj-113518	59	25	to	to	PART
esrj-113518	59	26	modify	modify	VERB
esrj-113518	59	27	the	the	DET
esrj-113518	59	28	parameters	parameter	NOUN
esrj-113518	59	29	of	of	ADP
esrj-113518	59	30	a	a	DET
esrj-113518	59	31	pre	pre	ADJ
esrj-113518	59	32	-	-	ADJ
esrj-113518	59	33	trained	train	VERB
esrj-113518	59	34	cnn	cnn	PROPN
esrj-113518	59	35	model	model	NOUN
esrj-113518	59	36	(	(	PUNCT
esrj-113518	59	37	ansith	ansith	PROPN
esrj-113518	59	38	&	&	CCONJ
esrj-113518	59	39	bini	bini	PROPN
esrj-113518	59	40	,	,	PUNCT
esrj-113518	59	41	2022	2022	NUM
esrj-113518	59	42	)	)	PUNCT
esrj-113518	59	43	.	.	PUNCT
esrj-113518	60	1	if	if	SCONJ
esrj-113518	60	2	we	we	PRON
esrj-113518	60	3	reduce	reduce	VERB
esrj-113518	60	4	epochs	epoch	NOUN
esrj-113518	60	5	and	and	CCONJ
esrj-113518	60	6	train	train	VERB
esrj-113518	60	7	a	a	DET
esrj-113518	60	8	model	model	NOUN
esrj-113518	60	9	on	on	ADP
esrj-113518	60	10	smaller	small	ADJ
esrj-113518	60	11	learning	learning	NOUN
esrj-113518	60	12	rate	rate	NOUN
esrj-113518	60	13	the	the	DET
esrj-113518	60	14	process	process	NOUN
esrj-113518	60	15	would	would	AUX
esrj-113518	60	16	be	be	AUX
esrj-113518	60	17	beneficial	beneficial	ADJ
esrj-113518	60	18	(	(	PUNCT
esrj-113518	60	19	kurakin	kurakin	PROPN
esrj-113518	60	20	et	et	PROPN
esrj-113518	60	21	al	al	PROPN
esrj-113518	60	22	.	.	PROPN
esrj-113518	60	23	,	,	PUNCT
esrj-113518	60	24	2022	2022	NUM
esrj-113518	60	25	)	)	PUNCT
esrj-113518	60	26	.	.	PUNCT
esrj-113518	61	1	according	accord	VERB
esrj-113518	61	2	to	to	ADP
esrj-113518	61	3	sinaga	sinaga	NOUN
esrj-113518	61	4	,	,	PUNCT
esrj-113518	61	5	yudistira	yudistira	PROPN
esrj-113518	61	6	,	,	PUNCT
esrj-113518	61	7	&	&	CCONJ
esrj-113518	61	8	santoso	santoso	NOUN
esrj-113518	61	9	(	(	PUNCT
esrj-113518	61	10	2023	2023	NUM
esrj-113518	61	11	)	)	PUNCT
esrj-113518	61	12	,	,	PUNCT
esrj-113518	61	13	the	the	DET
esrj-113518	61	14	usage	usage	NOUN
esrj-113518	61	15	of	of	ADP
esrj-113518	61	16	a	a	DET
esrj-113518	61	17	cnn	cnn	NOUN
esrj-113518	61	18	that	that	PRON
esrj-113518	61	19	has	have	AUX
esrj-113518	61	20	already	already	ADV
esrj-113518	61	21	been	be	AUX
esrj-113518	61	22	trained	train	VERB
esrj-113518	61	23	is	be	AUX
esrj-113518	61	24	the	the	DET
esrj-113518	61	25	latest	late	ADJ
esrj-113518	61	26	focus	focus	NOUN
esrj-113518	61	27	of	of	ADP
esrj-113518	61	28	image	image	NOUN
esrj-113518	61	29	classification	classification	NOUN
esrj-113518	61	30	research	research	NOUN
esrj-113518	61	31	.	.	PUNCT
esrj-113518	62	1	these	these	DET
esrj-113518	62	2	retrieved	retrieve	VERB
esrj-113518	62	3	features	feature	NOUN
esrj-113518	62	4	were	be	AUX
esrj-113518	62	5	then	then	ADV
esrj-113518	62	6	used	use	VERB
esrj-113518	62	7	to	to	PART
esrj-113518	62	8	train	train	VERB
esrj-113518	62	9	a	a	DET
esrj-113518	62	10	cnn	cnn	NOUN
esrj-113518	62	11	for	for	ADP
esrj-113518	62	12	feature	feature	NOUN
esrj-113518	62	13	extraction	extraction	NOUN
esrj-113518	62	14	.	.	PUNCT
esrj-113518	63	1	the	the	DET
esrj-113518	63	2	authors	author	NOUN
esrj-113518	63	3	used	use	VERB
esrj-113518	63	4	transfer	transfer	NOUN
esrj-113518	63	5	learning	learning	NOUN
esrj-113518	63	6	to	to	ADP
esrj-113518	63	7	fine	fine	ADJ
esrj-113518	63	8	-	-	PUNCT
esrj-113518	63	9	tune	tune	NOUN
esrj-113518	63	10	using	use	VERB
esrj-113518	63	11	cnns	cnn	NOUN
esrj-113518	63	12	that	that	PRON
esrj-113518	63	13	had	have	AUX
esrj-113518	63	14	already	already	ADV
esrj-113518	63	15	been	be	AUX
esrj-113518	63	16	trained	train	VERB
esrj-113518	63	17	(	(	PUNCT
esrj-113518	63	18	subramanian	subramanian	ADJ
esrj-113518	63	19	,	,	PUNCT
esrj-113518	63	20	shanmugavadivel	shanmugavadivel	ADJ
esrj-113518	63	21	,	,	PUNCT
esrj-113518	63	22	&	&	CCONJ
esrj-113518	63	23	nandhini	nandhini	PROPN
esrj-113518	63	24	,	,	PUNCT
esrj-113518	63	25	2022	2022	NUM
esrj-113518	63	26	)	)	PUNCT
esrj-113518	63	27	.	.	PUNCT
esrj-113518	64	1	alexnet	alexnet	ADJ
esrj-113518	64	2	,	,	PUNCT
esrj-113518	64	3	caffenet	caffenet	ADJ
esrj-113518	64	4	,	,	PUNCT
esrj-113518	64	5	vggnet	vggnet	NOUN
esrj-113518	64	6	,	,	PUNCT
esrj-113518	64	7	googlenet	googlenet	NOUN
esrj-113518	64	8	(	(	PUNCT
esrj-113518	64	9	inception	inception	NOUN
esrj-113518	64	10	)	)	PUNCT
esrj-113518	64	11	,	,	PUNCT
esrj-113518	64	12	and	and	CCONJ
esrj-113518	64	13	resnet	resnet	NOUN
esrj-113518	64	14	were	be	AUX
esrj-113518	64	15	among	among	ADP
esrj-113518	64	16	the	the	DET
esrj-113518	64	17	pre	pre	ADJ
esrj-113518	64	18	-	-	ADJ
esrj-113518	64	19	trained	train	VERB
esrj-113518	64	20	networks	network	NOUN
esrj-113518	64	21	used	use	VERB
esrj-113518	64	22	in	in	ADP
esrj-113518	64	23	the	the	DET
esrj-113518	64	24	majority	majority	NOUN
esrj-113518	64	25	of	of	ADP
esrj-113518	64	26	cnn	cnn	PROPN
esrj-113518	64	27	-	-	PUNCT
esrj-113518	64	28	based	base	VERB
esrj-113518	64	29	rs	rs	NOUN
esrj-113518	64	30	scene	scene	NOUN
esrj-113518	64	31	classification	classification	NOUN
esrj-113518	64	32	experiments	experiment	NOUN
esrj-113518	64	33	(	(	PUNCT
esrj-113518	64	34	mehmood	mehmood	PROPN
esrj-113518	64	35	,	,	PUNCT
esrj-113518	64	36	shahzad	shahzad	PROPN
esrj-113518	64	37	,	,	PUNCT
esrj-113518	64	38	zafar	zafar	PROPN
esrj-113518	64	39	,	,	PUNCT
esrj-113518	64	40	shabbir	shabbir	PROPN
esrj-113518	64	41	,	,	PUNCT
esrj-113518	64	42	&	&	CCONJ
esrj-113518	64	43	ali	ali	PROPN
esrj-113518	64	44	,	,	PUNCT
esrj-113518	64	45	2022	2022	NUM
esrj-113518	64	46	)	)	PUNCT
esrj-113518	64	47	.	.	PUNCT
esrj-113518	65	1	using	use	VERB
esrj-113518	65	2	transfer	transfer	NOUN
esrj-113518	65	3	learning	learning	NOUN
esrj-113518	65	4	approach	approach	NOUN
esrj-113518	65	5	,	,	PUNCT
esrj-113518	65	6	we	we	PRON
esrj-113518	65	7	can	can	AUX
esrj-113518	65	8	fine	fine	ADJ
esrj-113518	65	9	tune	tune	NOUN
esrj-113518	65	10	networks	network	NOUN
esrj-113518	65	11	and	and	CCONJ
esrj-113518	65	12	can	can	AUX
esrj-113518	65	13	use	use	VERB
esrj-113518	65	14	them	they	PRON
esrj-113518	65	15	for	for	ADP
esrj-113518	65	16	feature	feature	NOUN
esrj-113518	65	17	extraction	extraction	NOUN
esrj-113518	65	18	.	.	PUNCT
esrj-113518	66	1	to	to	PART
esrj-113518	66	2	depart	depart	VERB
esrj-113518	66	3	from	from	ADP
esrj-113518	66	4	pretrained	pretraine	VERB
esrj-113518	66	5	networks	network	NOUN
esrj-113518	66	6	(	(	PUNCT
esrj-113518	66	7	thribhuvan	thribhuvan	PROPN
esrj-113518	66	8	&	&	CCONJ
esrj-113518	66	9	elayidom	elayidom	NOUN
esrj-113518	66	10	,	,	PUNCT
esrj-113518	66	11	2022	2022	NUM
esrj-113518	66	12	)	)	PUNCT
esrj-113518	66	13	.	.	PUNCT
esrj-113518	67	1	cnn	cnn	PROPN
esrj-113518	67	2	is	be	AUX
esrj-113518	67	3	trained	train	VERB
esrj-113518	67	4	from	from	ADP
esrj-113518	67	5	scratch	scratch	NOUN
esrj-113518	67	6	using	use	VERB
esrj-113518	67	7	a	a	DET
esrj-113518	67	8	weakly	weakly	ADJ
esrj-113518	67	9	supervised	supervised	ADJ
esrj-113518	67	10	triplet	triplet	NOUN
esrj-113518	67	11	network	network	NOUN
esrj-113518	67	12	with	with	ADP
esrj-113518	67	13	weakly	weakly	ADJ
esrj-113518	67	14	single	single	ADJ
esrj-113518	67	15	-	-	PUNCT
esrj-113518	67	16	label	label	NOUN
esrj-113518	67	17	input	input	NOUN
esrj-113518	67	18	.	.	PUNCT
esrj-113518	68	1	alexnet	alexnet	NOUN
esrj-113518	68	2	is	be	AUX
esrj-113518	68	3	a	a	DET
esrj-113518	68	4	deep	deep	ADJ
esrj-113518	68	5	learning	learning	NOUN
esrj-113518	68	6	model	model	NOUN
esrj-113518	68	7	that	that	PRON
esrj-113518	68	8	was	be	AUX
esrj-113518	68	9	originally	originally	ADV
esrj-113518	68	10	developed	develop	VERB
esrj-113518	68	11	for	for	ADP
esrj-113518	68	12	image	image	NOUN
esrj-113518	68	13	classification	classification	NOUN
esrj-113518	68	14	on	on	ADP
esrj-113518	68	15	natural	natural	ADJ
esrj-113518	68	16	images	image	NOUN
esrj-113518	68	17	(	(	PUNCT
esrj-113518	68	18	krizhevsky	krizhevsky	NOUN
esrj-113518	68	19	,	,	PUNCT
esrj-113518	68	20	sutskever	sutskever	PROPN
esrj-113518	68	21	,	,	PUNCT
esrj-113518	68	22	&	&	CCONJ
esrj-113518	68	23	hinton	hinton	PROPN
esrj-113518	68	24	,	,	PUNCT
esrj-113518	68	25	2012	2012	NUM
esrj-113518	68	26	)	)	PUNCT
esrj-113518	68	27	and	and	CCONJ
esrj-113518	68	28	recently	recently	ADV
esrj-113518	68	29	used	use	VERB
esrj-113518	68	30	in	in	ADP
esrj-113518	68	31	many	many	ADJ
esrj-113518	68	32	other	other	ADJ
esrj-113518	68	33	researches	research	NOUN
esrj-113518	68	34	.	.	PUNCT
esrj-113518	69	1	chaudhari	chaudhari	PROPN
esrj-113518	69	2	et	et	PROPN
esrj-113518	69	3	al	al	PROPN
esrj-113518	69	4	.	.	PROPN
esrj-113518	69	5	,	,	PUNCT
esrj-113518	69	6	(	(	PUNCT
esrj-113518	69	7	2021	2021	NUM
esrj-113518	69	8	)	)	PUNCT
esrj-113518	69	9	is	be	AUX
esrj-113518	69	10	one	one	NUM
esrj-113518	69	11	of	of	ADP
esrj-113518	69	12	those	those	DET
esrj-113518	69	13	researchers	researcher	NOUN
esrj-113518	69	14	.	.	PUNCT
esrj-113518	70	1	however	however	ADV
esrj-113518	70	2	,	,	PUNCT
esrj-113518	70	3	its	its	PRON
esrj-113518	70	4	architecture	architecture	NOUN
esrj-113518	70	5	can	can	AUX
esrj-113518	70	6	also	also	ADV
esrj-113518	70	7	be	be	AUX
esrj-113518	70	8	used	use	VERB
esrj-113518	70	9	for	for	ADP
esrj-113518	70	10	remote	remote	ADJ
esrj-113518	70	11	sensing	sense	VERB
esrj-113518	70	12	image	image	NOUN
esrj-113518	70	13	analysis	analysis	NOUN
esrj-113518	70	14	.	.	PUNCT
esrj-113518	71	1	remote	remote	ADJ
esrj-113518	71	2	sensing	sensing	NOUN
esrj-113518	71	3	images	image	NOUN
esrj-113518	71	4	typically	typically	ADV
esrj-113518	71	5	have	have	VERB
esrj-113518	71	6	different	different	ADJ
esrj-113518	71	7	characteristics	characteristic	NOUN
esrj-113518	71	8	than	than	ADP
esrj-113518	71	9	natural	natural	ADJ
esrj-113518	71	10	images	image	NOUN
esrj-113518	71	11	,	,	PUNCT
esrj-113518	71	12	such	such	ADJ
esrj-113518	71	13	as	as	ADP
esrj-113518	71	14	different	different	ADJ
esrj-113518	71	15	spectral	spectral	ADJ
esrj-113518	71	16	bands	band	NOUN
esrj-113518	71	17	and	and	CCONJ
esrj-113518	71	18	higher	high	ADJ
esrj-113518	71	19	spatial	spatial	ADJ
esrj-113518	71	20	resolution	resolution	NOUN
esrj-113518	71	21	(	(	PUNCT
esrj-113518	71	22	q.	q.	PROPN
esrj-113518	71	23	cheng	cheng	PROPN
esrj-113518	71	24	et	et	PROPN
esrj-113518	71	25	al	al	PROPN
esrj-113518	71	26	.	.	PROPN
esrj-113518	71	27	,	,	PUNCT
esrj-113518	71	28	2022	2022	NUM
esrj-113518	71	29	)	)	PUNCT
esrj-113518	71	30	.	.	PUNCT
esrj-113518	72	1	to	to	PART
esrj-113518	72	2	use	use	VERB
esrj-113518	72	3	alexnet	alexnet	NOUN
esrj-113518	72	4	for	for	ADP
esrj-113518	72	5	remote	remote	ADJ
esrj-113518	72	6	sensing	sense	VERB
esrj-113518	72	7	image	image	NOUN
esrj-113518	72	8	analysis	analysis	NOUN
esrj-113518	72	9	,	,	PUNCT
esrj-113518	72	10	the	the	DET
esrj-113518	72	11	model	model	NOUN
esrj-113518	72	12	can	can	AUX
esrj-113518	72	13	be	be	AUX
esrj-113518	72	14	adapted	adapt	VERB
esrj-113518	72	15	by	by	ADP
esrj-113518	72	16	modifying	modify	VERB
esrj-113518	72	17	the	the	DET
esrj-113518	72	18	input	input	NOUN
esrj-113518	72	19	layer	layer	NOUN
esrj-113518	72	20	to	to	PART
esrj-113518	72	21	match	match	VERB
esrj-113518	72	22	the	the	DET
esrj-113518	72	23	number	number	NOUN
esrj-113518	72	24	of	of	ADP
esrj-113518	72	25	spectral	spectral	ADJ
esrj-113518	72	26	bands	band	NOUN
esrj-113518	72	27	in	in	ADP
esrj-113518	72	28	the	the	DET
esrj-113518	72	29	image	image	NOUN
esrj-113518	72	30	,	,	PUNCT
esrj-113518	72	31	and	and	CCONJ
esrj-113518	72	32	adjusting	adjust	VERB
esrj-113518	72	33	the	the	DET
esrj-113518	72	34	number	number	NOUN
esrj-113518	72	35	of	of	ADP
esrj-113518	72	36	neurons	neuron	NOUN
esrj-113518	72	37	in	in	ADP
esrj-113518	72	38	the	the	DET
esrj-113518	72	39	output	output	NOUN
esrj-113518	72	40	layer	layer	NOUN
esrj-113518	72	41	to	to	PART
esrj-113518	72	42	match	match	VERB
esrj-113518	72	43	the	the	DET
esrj-113518	72	44	number	number	NOUN
esrj-113518	72	45	of	of	ADP
esrj-113518	72	46	classes	class	NOUN
esrj-113518	72	47	in	in	ADP
esrj-113518	72	48	the	the	DET
esrj-113518	72	49	specific	specific	ADJ
esrj-113518	72	50	classification	classification	NOUN
esrj-113518	72	51	task	task	NOUN
esrj-113518	72	52	(	(	PUNCT
esrj-113518	72	53	s.	s.	PROPN
esrj-113518	72	54	song	song	PROPN
esrj-113518	72	55	et	et	PROPN
esrj-113518	72	56	al	al	PROPN
esrj-113518	72	57	.	.	PROPN
esrj-113518	72	58	,	,	PUNCT
esrj-113518	72	59	2019	2019	NUM
esrj-113518	72	60	)	)	PUNCT
esrj-113518	72	61	.	.	PUNCT
esrj-113518	73	1	the	the	DET
esrj-113518	73	2	pre	pre	ADJ
esrj-113518	73	3	-	-	ADJ
esrj-113518	73	4	processing	processing	ADJ
esrj-113518	73	5	steps	step	NOUN
esrj-113518	73	6	may	may	AUX
esrj-113518	73	7	also	also	ADV
esrj-113518	73	8	be	be	AUX
esrj-113518	73	9	different	different	ADJ
esrj-113518	73	10	,	,	PUNCT
esrj-113518	73	11	such	such	ADJ
esrj-113518	73	12	as	as	ADP
esrj-113518	73	13	normalizing	normalize	VERB
esrj-113518	73	14	the	the	DET
esrj-113518	73	15	pixel	pixel	NOUN
esrj-113518	73	16	values	value	NOUN
esrj-113518	73	17	to	to	ADP
esrj-113518	73	18	a	a	DET
esrj-113518	73	19	specific	specific	ADJ
esrj-113518	73	20	range	range	NOUN
esrj-113518	73	21	and	and	CCONJ
esrj-113518	73	22	performing	perform	VERB
esrj-113518	73	23	data	data	NOUN
esrj-113518	73	24	augmentation	augmentation	NOUN
esrj-113518	73	25	(	(	PUNCT
esrj-113518	73	26	tellez	tellez	NOUN
esrj-113518	73	27	et	et	PROPN
esrj-113518	73	28	al	al	PROPN
esrj-113518	73	29	.	.	PROPN
esrj-113518	73	30	,	,	PUNCT
esrj-113518	73	31	2019	2019	NUM
esrj-113518	73	32	)	)	PUNCT
esrj-113518	73	33	.	.	PUNCT
esrj-113518	74	1	there	there	PRON
esrj-113518	74	2	have	have	AUX
esrj-113518	74	3	been	be	AUX
esrj-113518	74	4	several	several	ADJ
esrj-113518	74	5	studies	study	NOUN
esrj-113518	74	6	that	that	PRON
esrj-113518	74	7	have	have	AUX
esrj-113518	74	8	used	use	VERB
esrj-113518	74	9	alexnet	alexnet	NOUN
esrj-113518	74	10	for	for	ADP
esrj-113518	74	11	remote	remote	ADJ
esrj-113518	74	12	sensing	sense	VERB
esrj-113518	74	13	image	image	NOUN
esrj-113518	74	14	analysis	analysis	NOUN
esrj-113518	74	15	,	,	PUNCT
esrj-113518	74	16	including	include	VERB
esrj-113518	74	17	land	land	NOUN
esrj-113518	74	18	cover	cover	NOUN
esrj-113518	74	19	classification	classification	NOUN
esrj-113518	74	20	(	(	PUNCT
esrj-113518	74	21	reddy	reddy	NOUN
esrj-113518	74	22	,	,	PUNCT
esrj-113518	74	23	2023	2023	NUM
esrj-113518	74	24	)	)	PUNCT
esrj-113518	74	25	,	,	PUNCT
esrj-113518	74	26	crop	crop	NOUN
esrj-113518	74	27	type	type	NOUN
esrj-113518	74	28	classification	classification	NOUN
esrj-113518	74	29	(	(	PUNCT
esrj-113518	74	30	wu	wu	PROPN
esrj-113518	74	31	et	et	PROPN
esrj-113518	74	32	al	al	PROPN
esrj-113518	74	33	.	.	PROPN
esrj-113518	74	34	,	,	PUNCT
esrj-113518	74	35	2022	2022	NUM
esrj-113518	74	36	)	)	PUNCT
esrj-113518	74	37	,	,	PUNCT
esrj-113518	74	38	and	and	CCONJ
esrj-113518	74	39	object	object	VERB
esrj-113518	74	40	detection	detection	NOUN
esrj-113518	74	41	in	in	ADP
esrj-113518	74	42	high	high	ADJ
esrj-113518	74	43	-	-	PUNCT
esrj-113518	74	44	resolution	resolution	NOUN
esrj-113518	74	45	satellite	satellite	NOUN
esrj-113518	74	46	images	image	NOUN
esrj-113518	74	47	(	(	PUNCT
esrj-113518	74	48	alganci	alganci	PROPN
esrj-113518	74	49	,	,	PUNCT
esrj-113518	74	50	soydas	soydas	PROPN
esrj-113518	74	51	,	,	PUNCT
esrj-113518	74	52	&	&	CCONJ
esrj-113518	74	53	sertel	sertel	NOUN
esrj-113518	74	54	,	,	PUNCT
esrj-113518	74	55	2020	2020	NUM
esrj-113518	74	56	)	)	PUNCT
esrj-113518	74	57	.	.	PUNCT
esrj-113518	75	1	alexnet	alexnet	PROPN
esrj-113518	75	2	is	be	AUX
esrj-113518	75	3	the	the	DET
esrj-113518	75	4	state	state	NOUN
esrj-113518	75	5	-	-	PUNCT
esrj-113518	75	6	of	of	ADP
esrj-113518	75	7	-	-	PUNCT
esrj-113518	75	8	the	the	DET
esrj-113518	75	9	-	-	PUNCT
esrj-113518	75	10	art	art	NOUN
esrj-113518	75	11	model	model	NOUN
esrj-113518	75	12	for	for	ADP
esrj-113518	75	13	remote	remote	ADJ
esrj-113518	75	14	sensing	sense	VERB
esrj-113518	75	15	image	image	NOUN
esrj-113518	75	16	analysis	analysis	NOUN
esrj-113518	75	17	(	(	PUNCT
esrj-113518	75	18	neris	neris	NOUN
esrj-113518	75	19	,	,	PUNCT
esrj-113518	75	20	guerra	guerra	NOUN
esrj-113518	75	21	,	,	PUNCT
esrj-113518	75	22	lópez	lópez	PROPN
esrj-113518	75	23	,	,	PUNCT
esrj-113518	75	24	&	&	CCONJ
esrj-113518	75	25	sarmiento	sarmiento	NOUN
esrj-113518	75	26	,	,	PUNCT
esrj-113518	75	27	2021	2021	NUM
esrj-113518	75	28	)	)	PUNCT
esrj-113518	75	29	;	;	PUNCT
esrj-113518	75	30	it	it	PRON
esrj-113518	75	31	is	be	AUX
esrj-113518	75	32	useful	useful	ADJ
esrj-113518	75	33	and	and	CCONJ
esrj-113518	75	34	has	have	VERB
esrj-113518	75	35	effective	effective	ADJ
esrj-113518	75	36	tools	tool	NOUN
esrj-113518	75	37	for	for	ADP
esrj-113518	75	38	certain	certain	ADJ
esrj-113518	75	39	other	other	ADJ
esrj-113518	75	40	classification	classification	NOUN
esrj-113518	75	41	tasks	task	NOUN
esrj-113518	75	42	as	as	ADV
esrj-113518	75	43	well	well	ADV
esrj-113518	75	44	.	.	PUNCT
esrj-113518	76	1	the	the	DET
esrj-113518	76	2	vgg16	vgg16	NOUN
esrj-113518	76	3	model	model	NOUN
esrj-113518	76	4	consists	consist	VERB
esrj-113518	76	5	of	of	ADP
esrj-113518	76	6	16	16	NUM
esrj-113518	76	7	layers	layer	NOUN
esrj-113518	76	8	,	,	PUNCT
esrj-113518	76	9	primarily	primarily	ADV
esrj-113518	76	10	composed	compose	VERB
esrj-113518	76	11	of	of	ADP
esrj-113518	76	12	convolutional	convolutional	ADJ
esrj-113518	76	13	layers	layer	NOUN
esrj-113518	76	14	and	and	CCONJ
esrj-113518	76	15	followed	follow	VERB
esrj-113518	76	16	by	by	ADP
esrj-113518	76	17	fully	fully	ADV
esrj-113518	76	18	connected	connected	ADJ
esrj-113518	76	19	layers	layer	NOUN
esrj-113518	76	20	(	(	PUNCT
esrj-113518	76	21	simonyan	simonyan	PROPN
esrj-113518	76	22	&	&	CCONJ
esrj-113518	76	23	zisserman	zisserman	PROPN
esrj-113518	76	24	,	,	PUNCT
esrj-113518	76	25	2014	2014	NUM
esrj-113518	76	26	)	)	PUNCT
esrj-113518	76	27	and	and	CCONJ
esrj-113518	76	28	recently	recently	ADV
esrj-113518	76	29	used	use	VERB
esrj-113518	76	30	by	by	ADP
esrj-113518	76	31	adegun	adegun	VERB
esrj-113518	76	32	,	,	PUNCT
esrj-113518	76	33	viriri	viriri	ADV
esrj-113518	76	34	,	,	PUNCT
esrj-113518	76	35	&	&	CCONJ
esrj-113518	76	36	tapamo	tapamo	NOUN
esrj-113518	76	37	(	(	PUNCT
esrj-113518	76	38	2023	2023	NUM
esrj-113518	76	39	)	)	PUNCT
esrj-113518	76	40	.	.	PUNCT
esrj-113518	77	1	the	the	DET
esrj-113518	77	2	key	key	ADJ
esrj-113518	77	3	idea	idea	NOUN
esrj-113518	77	4	behind	behind	ADP
esrj-113518	77	5	vgg16	vgg16	PROPN
esrj-113518	77	6	is	be	AUX
esrj-113518	77	7	to	to	PART
esrj-113518	77	8	use	use	VERB
esrj-113518	77	9	a	a	DET
esrj-113518	77	10	series	series	NOUN
esrj-113518	77	11	of	of	ADP
esrj-113518	77	12	small	small	ADJ
esrj-113518	77	13	3x3	3x3	NUM
esrj-113518	77	14	convolutional	convolutional	ADJ
esrj-113518	77	15	filters	filter	NOUN
esrj-113518	77	16	repeatedly	repeatedly	ADV
esrj-113518	77	17	,	,	PUNCT
esrj-113518	77	18	which	which	PRON
esrj-113518	77	19	leads	lead	VERB
esrj-113518	77	20	to	to	ADP
esrj-113518	77	21	a	a	DET
esrj-113518	77	22	network	network	NOUN
esrj-113518	77	23	with	with	ADP
esrj-113518	77	24	a	a	DET
esrj-113518	77	25	larger	large	ADJ
esrj-113518	77	26	number	number	NOUN
esrj-113518	77	27	of	of	ADP
esrj-113518	77	28	trainable	trainable	ADJ
esrj-113518	77	29	parameters	parameter	NOUN
esrj-113518	77	30	but	but	CCONJ
esrj-113518	77	31	with	with	ADP
esrj-113518	77	32	a	a	DET
esrj-113518	77	33	smaller	small	ADJ
esrj-113518	77	34	number	number	NOUN
esrj-113518	77	35	of	of	ADP
esrj-113518	77	36	layers	layer	NOUN
esrj-113518	77	37	compared	compare	VERB
esrj-113518	77	38	to	to	ADP
esrj-113518	77	39	other	other	ADJ
esrj-113518	77	40	models	model	NOUN
esrj-113518	77	41	like	like	ADP
esrj-113518	77	42	alexnet	alexnet	NOUN
esrj-113518	77	43	,	,	PUNCT
esrj-113518	77	44	accepts	accept	VERB
esrj-113518	77	45	the	the	DET
esrj-113518	77	46	input	input	NOUN
esrj-113518	77	47	image	image	NOUN
esrj-113518	77	48	with	with	ADP
esrj-113518	77	49	a	a	DET
esrj-113518	77	50	specified	specified	ADJ
esrj-113518	77	51	size	size	NOUN
esrj-113518	77	52	(	(	PUNCT
esrj-113518	77	53	usually	usually	ADV
esrj-113518	77	54	224x224	224x224	NUM
esrj-113518	77	55	pixels	pixel	NOUN
esrj-113518	77	56	)	)	PUNCT
esrj-113518	77	57	followed	follow	VERB
esrj-113518	77	58	by	by	ADP
esrj-113518	77	59	convolutional	convolutional	ADJ
esrj-113518	77	60	layers	layer	NOUN
esrj-113518	77	61	,	,	PUNCT
esrj-113518	77	62	the	the	DET
esrj-113518	77	63	network	network	NOUN
esrj-113518	77	64	consists	consist	VERB
esrj-113518	77	65	of	of	ADP
esrj-113518	77	66	13	13	NUM
esrj-113518	77	67	convolutional	convolutional	ADJ
esrj-113518	77	68	layers	layer	NOUN
esrj-113518	77	69	various	various	ADJ
esrj-113518	77	70	features	feature	NOUN
esrj-113518	77	71	at	at	ADP
esrj-113518	77	72	different	different	ADJ
esrj-113518	77	73	spatial	spatial	ADJ
esrj-113518	77	74	scales	scale	NOUN
esrj-113518	77	75	.	.	PUNCT
esrj-113518	78	1	after	after	ADP
esrj-113518	78	2	some	some	PRON
esrj-113518	78	3	of	of	ADP
esrj-113518	78	4	the	the	DET
esrj-113518	78	5	convolutional	convolutional	ADJ
esrj-113518	78	6	layers	layer	NOUN
esrj-113518	78	7	,	,	PUNCT
esrj-113518	78	8	max	max	PROPN
esrj-113518	78	9	pooling	pool	VERB
esrj-113518	78	10	layers	layer	NOUN
esrj-113518	78	11	are	be	AUX
esrj-113518	78	12	applied	apply	VERB
esrj-113518	78	13	to	to	PART
esrj-113518	78	14	reduce	reduce	VERB
esrj-113518	78	15	the	the	DET
esrj-113518	78	16	spatial	spatial	ADJ
esrj-113518	78	17	dimensions	dimension	NOUN
esrj-113518	78	18	of	of	ADP
esrj-113518	78	19	the	the	DET
esrj-113518	78	20	feature	feature	NOUN
esrj-113518	78	21	maps	map	NOUN
esrj-113518	78	22	while	while	SCONJ
esrj-113518	78	23	retaining	retain	VERB
esrj-113518	78	24	the	the	DET
esrj-113518	78	25	most	most	ADV
esrj-113518	78	26	prominent	prominent	ADJ
esrj-113518	78	27	features	feature	NOUN
esrj-113518	78	28	.	.	PUNCT
esrj-113518	79	1	towards	towards	ADP
esrj-113518	79	2	the	the	DET
esrj-113518	79	3	end	end	NOUN
esrj-113518	79	4	of	of	ADP
esrj-113518	79	5	the	the	DET
esrj-113518	79	6	network	network	NOUN
esrj-113518	79	7	,	,	PUNCT
esrj-113518	79	8	there	there	PRON
esrj-113518	79	9	are	be	VERB
esrj-113518	79	10	three	three	NUM
esrj-113518	79	11	fully	fully	ADV
esrj-113518	79	12	connected	connected	ADJ
esrj-113518	79	13	layers	layer	NOUN
esrj-113518	79	14	.	.	PUNCT
esrj-113518	80	1	these	these	DET
esrj-113518	80	2	layers	layer	NOUN
esrj-113518	80	3	combine	combine	VERB
esrj-113518	80	4	the	the	DET
esrj-113518	80	5	features	feature	NOUN
esrj-113518	80	6	learned	learn	VERB
esrj-113518	80	7	by	by	ADP
esrj-113518	80	8	the	the	DET
esrj-113518	80	9	convolutional	convolutional	ADJ
esrj-113518	80	10	layers	layer	NOUN
esrj-113518	80	11	to	to	PART
esrj-113518	80	12	make	make	VERB
esrj-113518	80	13	predictions	prediction	NOUN
esrj-113518	80	14	(	(	PUNCT
esrj-113518	80	15	mehmood	mehmood	PROPN
esrj-113518	80	16	et	et	PROPN
esrj-113518	80	17	al	al	PROPN
esrj-113518	80	18	.	.	PROPN
esrj-113518	80	19	,	,	PUNCT
esrj-113518	80	20	2022	2022	NUM
esrj-113518	80	21	)	)	PUNCT
esrj-113518	80	22	.	.	PUNCT
esrj-113518	81	1	the	the	DET
esrj-113518	81	2	last	last	ADJ
esrj-113518	81	3	layer	layer	NOUN
esrj-113518	81	4	is	be	AUX
esrj-113518	81	5	softmax	softmax	NOUN
esrj-113518	81	6	layer	layer	NOUN
esrj-113518	81	7	,	,	PUNCT
esrj-113518	81	8	the	the	DET
esrj-113518	81	9	function	function	NOUN
esrj-113518	81	10	of	of	ADP
esrj-113518	81	11	this	this	DET
esrj-113518	81	12	layer	layer	NOUN
esrj-113518	81	13	is	be	AUX
esrj-113518	81	14	to	to	PART
esrj-113518	81	15	produce	produce	VERB
esrj-113518	81	16	the	the	DET
esrj-113518	81	17	final	final	ADJ
esrj-113518	81	18	probability	probability	NOUN
esrj-113518	81	19	distribution	distribution	NOUN
esrj-113518	81	20	over	over	ADP
esrj-113518	81	21	the	the	DET
esrj-113518	81	22	classes	class	NOUN
esrj-113518	81	23	.	.	PUNCT
esrj-113518	82	1	this	this	PRON
esrj-113518	82	2	allows	allow	VERB
esrj-113518	82	3	the	the	DET
esrj-113518	82	4	model	model	NOUN
esrj-113518	82	5	to	to	PART
esrj-113518	82	6	assign	assign	VERB
esrj-113518	82	7	a	a	DET
esrj-113518	82	8	probability	probability	NOUN
esrj-113518	82	9	to	to	ADP
esrj-113518	82	10	each	each	DET
esrj-113518	82	11	class	class	NOUN
esrj-113518	82	12	label	label	NOUN
esrj-113518	82	13	.	.	PUNCT
esrj-113518	83	1	many	many	ADJ
esrj-113518	83	2	computer	computer	NOUN
esrj-113518	83	3	vision	vision	NOUN
esrj-113518	83	4	tasks	task	NOUN
esrj-113518	83	5	,	,	PUNCT
esrj-113518	83	6	such	such	ADJ
esrj-113518	83	7	as	as	ADP
esrj-113518	83	8	feature	feature	NOUN
esrj-113518	83	9	extraction	extraction	NOUN
esrj-113518	83	10	,	,	PUNCT
esrj-113518	83	11	object	object	VERB
esrj-113518	83	12	identification	identification	NOUN
esrj-113518	83	13	,	,	PUNCT
esrj-113518	83	14	and	and	CCONJ
esrj-113518	83	15	image	image	NOUN
esrj-113518	83	16	classification	classification	NOUN
esrj-113518	83	17	,	,	PUNCT
esrj-113518	83	18	have	have	AUX
esrj-113518	83	19	made	make	VERB
esrj-113518	83	20	extensive	extensive	ADJ
esrj-113518	83	21	use	use	NOUN
esrj-113518	83	22	of	of	ADP
esrj-113518	83	23	the	the	DET
esrj-113518	83	24	vgg16	vgg16	NOUN
esrj-113518	83	25	model	model	NOUN
esrj-113518	83	26	as	as	ADP
esrj-113518	83	27	a	a	DET
esrj-113518	83	28	benchmark	benchmark	NOUN
esrj-113518	83	29	(	(	PUNCT
esrj-113518	83	30	saini	saini	PROPN
esrj-113518	83	31	,	,	PUNCT
esrj-113518	83	32	khosla	khosla	PROPN
esrj-113518	83	33	,	,	PUNCT
esrj-113518	83	34	chand	chand	PROPN
esrj-113518	83	35	,	,	PUNCT
esrj-113518	83	36	chouhan	chouhan	PROPN
esrj-113518	83	37	,	,	PUNCT
esrj-113518	83	38	&	&	CCONJ
esrj-113518	83	39	prakash	prakash	PROPN
esrj-113518	83	40	,	,	PUNCT
esrj-113518	83	41	2023	2023	NUM
esrj-113518	83	42	)	)	PUNCT
esrj-113518	83	43	.	.	PUNCT
esrj-113518	84	1	despite	despite	SCONJ
esrj-113518	84	2	being	be	AUX
esrj-113518	84	3	outperformed	outperform	VERB
esrj-113518	84	4	by	by	ADP
esrj-113518	84	5	more	more	ADJ
esrj-113518	84	6	recent	recent	ADJ
esrj-113518	84	7	architectures	architecture	NOUN
esrj-113518	84	8	such	such	ADJ
esrj-113518	84	9	as	as	ADP
esrj-113518	84	10	resnet	resnet	NOUN
esrj-113518	84	11	and	and	CCONJ
esrj-113518	84	12	efficient	efficient	ADJ
esrj-113518	84	13	-	-	PUNCT
esrj-113518	84	14	net	net	NOUN
esrj-113518	84	15	in	in	ADP
esrj-113518	84	16	terms	term	NOUN
esrj-113518	84	17	of	of	ADP
esrj-113518	84	18	accuracy	accuracy	NOUN
esrj-113518	84	19	,	,	PUNCT
esrj-113518	84	20	vgg16	vgg16	NOUN
esrj-113518	84	21	is	be	AUX
esrj-113518	84	22	still	still	ADV
esrj-113518	84	23	widely	widely	ADV
esrj-113518	84	24	used	use	VERB
esrj-113518	84	25	because	because	SCONJ
esrj-113518	84	26	of	of	ADP
esrj-113518	84	27	its	its	PRON
esrj-113518	84	28	clarity	clarity	NOUN
esrj-113518	84	29	and	and	CCONJ
esrj-113518	84	30	simplicity	simplicity	NOUN
esrj-113518	84	31	.	.	PUNCT
esrj-113518	85	1	a	a	DET
esrj-113518	85	2	deep	deep	ADJ
esrj-113518	85	3	learning	learning	NOUN
esrj-113518	85	4	model	model	NOUN
esrj-113518	85	5	called	call	VERB
esrj-113518	85	6	resnet50	resnet50	NOUN
esrj-113518	85	7	has	have	AUX
esrj-113518	85	8	shown	show	VERB
esrj-113518	85	9	promise	promise	NOUN
esrj-113518	85	10	in	in	ADP
esrj-113518	85	11	a	a	DET
esrj-113518	85	12	variety	variety	NOUN
esrj-113518	85	13	of	of	ADP
esrj-113518	85	14	computer	computer	NOUN
esrj-113518	85	15	vision	vision	NOUN
esrj-113518	85	16	applications	application	NOUN
esrj-113518	85	17	,	,	PUNCT
esrj-113518	85	18	such	such	ADJ
esrj-113518	85	19	as	as	ADP
esrj-113518	85	20	remote	remote	ADJ
esrj-113518	85	21	sensing	sense	VERB
esrj-113518	85	22	image	image	NOUN
esrj-113518	85	23	processing	processing	NOUN
esrj-113518	85	24	(	(	PUNCT
esrj-113518	85	25	k.	k.	NOUN
esrj-113518	85	26	he	he	PROPN
esrj-113518	85	27	,	,	PUNCT
esrj-113518	85	28	zhang	zhang	PROPN
esrj-113518	85	29	,	,	PUNCT
esrj-113518	85	30	ren	ren	PROPN
esrj-113518	85	31	,	,	PUNCT
esrj-113518	85	32	&	&	CCONJ
esrj-113518	85	33	sun	sun	PROPN
esrj-113518	85	34	,	,	PUNCT
esrj-113518	85	35	2015	2015	NUM
esrj-113518	85	36	)	)	PUNCT
esrj-113518	85	37	.	.	PUNCT
esrj-113518	86	1	the	the	DET
esrj-113518	86	2	architecture	architecture	NOUN
esrj-113518	86	3	of	of	ADP
esrj-113518	86	4	resnet50	resnet50	NOUN
esrj-113518	86	5	is	be	AUX
esrj-113518	86	6	based	base	VERB
esrj-113518	86	7	on	on	ADP
esrj-113518	86	8	residual	residual	ADJ
esrj-113518	86	9	blocks	block	NOUN
esrj-113518	86	10	(	(	PUNCT
esrj-113518	86	11	mandal	mandal	ADJ
esrj-113518	86	12	,	,	PUNCT
esrj-113518	86	13	okeukwu	okeukwu	ADJ
esrj-113518	86	14	,	,	PUNCT
esrj-113518	86	15	&	&	CCONJ
esrj-113518	86	16	theis	theis	PROPN
esrj-113518	86	17	,	,	PUNCT
esrj-113518	86	18	2021	2021	NUM
esrj-113518	86	19	)	)	PUNCT
esrj-113518	86	20	.	.	PUNCT
esrj-113518	87	1	each	each	DET
esrj-113518	87	2	block	block	NOUN
esrj-113518	87	3	in	in	ADP
esrj-113518	87	4	the	the	DET
esrj-113518	87	5	resnet50	resnet50	NOUN
esrj-113518	87	6	design	design	NOUN
esrj-113518	87	7	has	have	VERB
esrj-113518	87	8	multiple	multiple	ADJ
esrj-113518	87	9	convolutional	convolutional	ADJ
esrj-113518	87	10	layers	layer	NOUN
esrj-113518	87	11	,	,	PUNCT
esrj-113518	87	12	followed	follow	VERB
esrj-113518	87	13	by	by	ADP
esrj-113518	87	14	batch	batch	NOUN
esrj-113518	87	15	normalization	normalization	NOUN
esrj-113518	87	16	and	and	CCONJ
esrj-113518	87	17	relu	relu	NOUN
esrj-113518	87	18	activation	activation	NOUN
esrj-113518	87	19	(	(	PUNCT
esrj-113518	87	20	luo	luo	PROPN
esrj-113518	87	21	,	,	PUNCT
esrj-113518	87	22	pearson	pearson	PROPN
esrj-113518	87	23	,	,	PUNCT
esrj-113518	87	24	xu	xu	PROPN
esrj-113518	87	25	,	,	PUNCT
esrj-113518	87	26	&	&	CCONJ
esrj-113518	87	27	rich	rich	ADJ
esrj-113518	87	28	,	,	PUNCT
esrj-113518	87	29	2022	2022	NUM
esrj-113518	87	30	)	)	PUNCT
esrj-113518	87	31	.	.	PUNCT
esrj-113518	88	1	the	the	DET
esrj-113518	88	2	architecture	architecture	NOUN
esrj-113518	88	3	has	have	VERB
esrj-113518	88	4	50	50	NUM
esrj-113518	88	5	layers	layer	NOUN
esrj-113518	88	6	total	total	NOUN
esrj-113518	88	7	(	(	PUNCT
esrj-113518	88	8	mandal	mandal	PROPN
esrj-113518	88	9	et	et	PROPN
esrj-113518	88	10	al	al	PROPN
esrj-113518	88	11	.	.	PROPN
esrj-113518	88	12	,	,	PUNCT
esrj-113518	88	13	2021	2021	NUM
esrj-113518	88	14	)	)	PUNCT
esrj-113518	88	15	.	.	PUNCT
esrj-113518	89	1	each	each	DET
esrj-113518	89	2	block	block	NOUN
esrj-113518	89	3	’s	’s	PART
esrj-113518	89	4	residual	residual	ADJ
esrj-113518	89	5	connections	connection	NOUN
esrj-113518	89	6	aid	aid	NOUN
esrj-113518	89	7	in	in	ADP
esrj-113518	89	8	preventing	prevent	VERB
esrj-113518	89	9	the	the	DET
esrj-113518	89	10	vanishing	vanish	VERB
esrj-113518	89	11	gradient	gradient	NOUN
esrj-113518	89	12	issue	issue	NOUN
esrj-113518	89	13	and	and	CCONJ
esrj-113518	89	14	enable	enable	VERB
esrj-113518	89	15	more	more	ADJ
esrj-113518	89	16	efficient	efficient	ADJ
esrj-113518	89	17	model	model	NOUN
esrj-113518	89	18	training	training	NOUN
esrj-113518	89	19	(	(	PUNCT
esrj-113518	89	20	basodi	basodi	NOUN
esrj-113518	89	21	,	,	PUNCT
esrj-113518	89	22	ji	ji	PROPN
esrj-113518	89	23	,	,	PUNCT
esrj-113518	89	24	zhang	zhang	PROPN
esrj-113518	89	25	,	,	PUNCT
esrj-113518	89	26	&	&	CCONJ
esrj-113518	89	27	pan	pan	PROPN
esrj-113518	89	28	,	,	PUNCT
esrj-113518	89	29	2020	2020	NUM
esrj-113518	89	30	)	)	PUNCT
esrj-113518	89	31	.	.	PUNCT
esrj-113518	90	1	large	large	ADJ
esrj-113518	90	2	datasets	dataset	NOUN
esrj-113518	90	3	of	of	ADP
esrj-113518	90	4	labelled	label	VERB
esrj-113518	90	5	images	image	NOUN
esrj-113518	90	6	,	,	PUNCT
esrj-113518	90	7	such	such	ADJ
esrj-113518	90	8	as	as	ADP
esrj-113518	90	9	satellite	satellite	NOUN
esrj-113518	90	10	photos	photo	NOUN
esrj-113518	90	11	,	,	PUNCT
esrj-113518	90	12	can	can	AUX
esrj-113518	90	13	be	be	AUX
esrj-113518	90	14	used	use	VERB
esrj-113518	90	15	to	to	PART
esrj-113518	90	16	train	train	VERB
esrj-113518	90	17	the	the	DET
esrj-113518	90	18	resnet50	resnet50	NOUN
esrj-113518	90	19	model	model	NOUN
esrj-113518	90	20	for	for	ADP
esrj-113518	90	21	use	use	NOUN
esrj-113518	90	22	in	in	ADP
esrj-113518	90	23	remote	remote	ADJ
esrj-113518	90	24	sensing	sense	VERB
esrj-113518	90	25	image	image	NOUN
esrj-113518	90	26	analysis	analysis	NOUN
esrj-113518	90	27	(	(	PUNCT
esrj-113518	90	28	reedha	reedha	NOUN
esrj-113518	90	29	,	,	PUNCT
esrj-113518	90	30	dericquebourg	dericquebourg	NOUN
esrj-113518	90	31	,	,	PUNCT
esrj-113518	90	32	canals	canal	NOUN
esrj-113518	90	33	,	,	PUNCT
esrj-113518	90	34	&	&	CCONJ
esrj-113518	90	35	hafiane	hafiane	NOUN
esrj-113518	90	36	,	,	PUNCT
esrj-113518	90	37	2022	2022	NUM
esrj-113518	90	38	)	)	PUNCT
esrj-113518	90	39	.	.	PUNCT
esrj-113518	91	1	the	the	DET
esrj-113518	91	2	input	input	NOUN
esrj-113518	91	3	data	datum	NOUN
esrj-113518	91	4	can	can	AUX
esrj-113518	91	5	be	be	AUX
esrj-113518	91	6	pre	pre	VERB
esrj-113518	91	7	-	-	VERB
esrj-113518	91	8	processed	process	VERB
esrj-113518	91	9	to	to	PART
esrj-113518	91	10	meet	meet	VERB
esrj-113518	91	11	the	the	DET
esrj-113518	91	12	specific	specific	ADJ
esrj-113518	91	13	criteria	criterion	NOUN
esrj-113518	91	14	of	of	ADP
esrj-113518	91	15	the	the	DET
esrj-113518	91	16	model	model	NOUN
esrj-113518	91	17	,	,	PUNCT
esrj-113518	91	18	such	such	ADJ
esrj-113518	91	19	as	as	ADP
esrj-113518	91	20	normalizing	normalize	VERB
esrj-113518	91	21	the	the	DET
esrj-113518	91	22	pixel	pixel	NOUN
esrj-113518	91	23	values	value	NOUN
esrj-113518	91	24	411classification	411classification	PROPN
esrj-113518	91	25	of	of	ADP
esrj-113518	91	26	remote	remote	ADJ
esrj-113518	91	27	sensing	sense	VERB
esrj-113518	91	28	datasets	dataset	NOUN
esrj-113518	91	29	with	with	ADP
esrj-113518	91	30	different	different	ADJ
esrj-113518	91	31	deep	deep	ADJ
esrj-113518	91	32	learning	learning	NOUN
esrj-113518	91	33	architectures	architecture	NOUN
esrj-113518	91	34	and	and	CCONJ
esrj-113518	91	35	performing	perform	VERB
esrj-113518	91	36	data	datum	NOUN
esrj-113518	91	37	augmentation	augmentation	NOUN
esrj-113518	91	38	to	to	PART
esrj-113518	91	39	improve	improve	VERB
esrj-113518	91	40	the	the	DET
esrj-113518	91	41	diversity	diversity	NOUN
esrj-113518	91	42	of	of	ADP
esrj-113518	91	43	the	the	DET
esrj-113518	91	44	training	training	NOUN
esrj-113518	91	45	data	datum	NOUN
esrj-113518	91	46	,	,	PUNCT
esrj-113518	91	47	in	in	ADP
esrj-113518	91	48	order	order	NOUN
esrj-113518	91	49	to	to	PART
esrj-113518	91	50	execute	execute	VERB
esrj-113518	91	51	tasks	task	NOUN
esrj-113518	91	52	like	like	ADP
esrj-113518	91	53	land	land	NOUN
esrj-113518	91	54	cover	cover	NOUN
esrj-113518	91	55	classification	classification	NOUN
esrj-113518	91	56	,	,	PUNCT
esrj-113518	91	57	object	object	NOUN
esrj-113518	91	58	detection	detection	NOUN
esrj-113518	91	59	,	,	PUNCT
esrj-113518	91	60	and	and	CCONJ
esrj-113518	91	61	change	change	NOUN
esrj-113518	91	62	detection	detection	NOUN
esrj-113518	91	63	(	(	PUNCT
esrj-113518	91	64	li	li	PROPN
esrj-113518	91	65	,	,	PUNCT
esrj-113518	91	66	chen	chen	PROPN
esrj-113518	91	67	,	,	PUNCT
esrj-113518	91	68	chen	chen	PROPN
esrj-113518	91	69	,	,	PUNCT
esrj-113518	91	70	&	&	CCONJ
esrj-113518	91	71	shi	shi	PROPN
esrj-113518	91	72	,	,	PUNCT
esrj-113518	91	73	2021	2021	NUM
esrj-113518	91	74	)	)	PUNCT
esrj-113518	91	75	.	.	PUNCT
esrj-113518	92	1	resnet50	resnet50	NOUN
esrj-113518	92	2	has	have	AUX
esrj-113518	92	3	been	be	AUX
esrj-113518	92	4	used	use	VERB
esrj-113518	92	5	in	in	ADP
esrj-113518	92	6	a	a	DET
esrj-113518	92	7	number	number	NOUN
esrj-113518	92	8	of	of	ADP
esrj-113518	92	9	research	research	NOUN
esrj-113518	92	10	to	to	PART
esrj-113518	92	11	analyze	analyze	VERB
esrj-113518	92	12	remote	remote	ADJ
esrj-113518	92	13	sensing	sensing	NOUN
esrj-113518	92	14	images	image	NOUN
esrj-113518	92	15	for	for	ADP
esrj-113518	92	16	the	the	DET
esrj-113518	92	17	purposes	purpose	NOUN
esrj-113518	92	18	of	of	ADP
esrj-113518	92	19	classifying	classify	VERB
esrj-113518	92	20	vegetation	vegetation	NOUN
esrj-113518	92	21	,	,	PUNCT
esrj-113518	92	22	mapping	mapping	NOUN
esrj-113518	92	23	land	land	NOUN
esrj-113518	92	24	cover	cover	NOUN
esrj-113518	92	25	,	,	PUNCT
esrj-113518	92	26	and	and	CCONJ
esrj-113518	92	27	detection	detection	NOUN
esrj-113518	92	28	of	of	ADP
esrj-113518	92	29	objects	object	NOUN
esrj-113518	92	30	in	in	ADP
esrj-113518	92	31	aerial	aerial	ADJ
esrj-113518	92	32	images	image	NOUN
esrj-113518	92	33	(	(	PUNCT
esrj-113518	92	34	x.	x.	PROPN
esrj-113518	92	35	zhang	zhang	PROPN
esrj-113518	92	36	,	,	PUNCT
esrj-113518	92	37	han	han	PROPN
esrj-113518	92	38	,	,	PUNCT
esrj-113518	92	39	han	han	PROPN
esrj-113518	92	40	,	,	PUNCT
esrj-113518	92	41	&	&	CCONJ
esrj-113518	92	42	zhu	zhu	PROPN
esrj-113518	92	43	,	,	PUNCT
esrj-113518	92	44	2020	2020	NUM
esrj-113518	92	45	)	)	PUNCT
esrj-113518	92	46	.	.	PUNCT
esrj-113518	93	1	resnet50	resnet50	NOUN
esrj-113518	93	2	is	be	AUX
esrj-113518	93	3	considered	consider	VERB
esrj-113518	93	4	to	to	PART
esrj-113518	93	5	be	be	AUX
esrj-113518	93	6	one	one	NUM
esrj-113518	93	7	of	of	ADP
esrj-113518	93	8	the	the	DET
esrj-113518	93	9	state	state	NOUN
esrj-113518	93	10	-	-	PUNCT
esrj-113518	93	11	of	of	ADP
esrj-113518	93	12	-	-	PUNCT
esrj-113518	93	13	the	the	DET
esrj-113518	93	14	-	-	PUNCT
esrj-113518	93	15	art	art	NOUN
esrj-113518	93	16	models	model	NOUN
esrj-113518	93	17	for	for	ADP
esrj-113518	93	18	many	many	ADJ
esrj-113518	93	19	computer	computer	NOUN
esrj-113518	93	20	vision	vision	NOUN
esrj-113518	93	21	tasks	task	NOUN
esrj-113518	93	22	,	,	PUNCT
esrj-113518	93	23	and	and	CCONJ
esrj-113518	93	24	its	its	PRON
esrj-113518	93	25	use	use	NOUN
esrj-113518	93	26	in	in	ADP
esrj-113518	93	27	remote	remote	ADJ
esrj-113518	93	28	sensing	sense	VERB
esrj-113518	93	29	image	image	NOUN
esrj-113518	93	30	analysis	analysis	NOUN
esrj-113518	93	31	can	can	AUX
esrj-113518	93	32	help	help	VERB
esrj-113518	93	33	to	to	PART
esrj-113518	93	34	achieve	achieve	VERB
esrj-113518	93	35	highly	highly	ADV
esrj-113518	93	36	accurate	accurate	ADJ
esrj-113518	93	37	and	and	CCONJ
esrj-113518	93	38	efficient	efficient	ADJ
esrj-113518	93	39	results	result	NOUN
esrj-113518	93	40	(	(	PUNCT
esrj-113518	93	41	müller	müller	PROPN
esrj-113518	93	42	&	&	CCONJ
esrj-113518	93	43	hutter	hutter	NOUN
esrj-113518	93	44	,	,	PUNCT
esrj-113518	93	45	2021	2021	NUM
esrj-113518	93	46	)	)	PUNCT
esrj-113518	93	47	.	.	PUNCT
esrj-113518	94	1	efficient	efficient	ADJ
esrj-113518	94	2	-	-	PUNCT
esrj-113518	94	3	net	net	NOUN
esrj-113518	94	4	is	be	AUX
esrj-113518	94	5	a	a	DET
esrj-113518	94	6	family	family	NOUN
esrj-113518	94	7	of	of	ADP
esrj-113518	94	8	deep	deep	ADJ
esrj-113518	94	9	convolutional	convolutional	ADJ
esrj-113518	94	10	neural	neural	ADJ
esrj-113518	94	11	networks	network	NOUN
esrj-113518	94	12	(	(	PUNCT
esrj-113518	94	13	cnns	cnns	PROPN
esrj-113518	94	14	)	)	PUNCT
esrj-113518	94	15	that	that	PRON
esrj-113518	94	16	was	be	AUX
esrj-113518	94	17	introduced	introduce	VERB
esrj-113518	94	18	in	in	ADP
esrj-113518	94	19	2019	2019	NUM
esrj-113518	94	20	(	(	PUNCT
esrj-113518	94	21	yeşilmen	yeşilman	NOUN
esrj-113518	94	22	&	&	CCONJ
esrj-113518	94	23	tatar	tatar	NOUN
esrj-113518	94	24	,	,	PUNCT
esrj-113518	94	25	2022	2022	NUM
esrj-113518	94	26	)	)	PUNCT
esrj-113518	94	27	.	.	PUNCT
esrj-113518	95	1	efficient	efficient	ADJ
esrj-113518	95	2	-	-	PUNCT
esrj-113518	95	3	net	net	NOUN
esrj-113518	95	4	uses	use	VERB
esrj-113518	95	5	a	a	DET
esrj-113518	95	6	novel	novel	ADJ
esrj-113518	95	7	compound	compound	NOUN
esrj-113518	95	8	scaling	scale	VERB
esrj-113518	95	9	method	method	NOUN
esrj-113518	95	10	that	that	PRON
esrj-113518	95	11	balances	balance	VERB
esrj-113518	95	12	the	the	DET
esrj-113518	95	13	depth	depth	NOUN
esrj-113518	95	14	,	,	PUNCT
esrj-113518	95	15	width	width	ADJ
esrj-113518	95	16	,	,	PUNCT
esrj-113518	95	17	and	and	CCONJ
esrj-113518	95	18	resolution	resolution	NOUN
esrj-113518	95	19	of	of	ADP
esrj-113518	95	20	the	the	DET
esrj-113518	95	21	network	network	NOUN
esrj-113518	95	22	to	to	PART
esrj-113518	95	23	achieve	achieve	VERB
esrj-113518	95	24	better	well	ADJ
esrj-113518	95	25	performance	performance	NOUN
esrj-113518	95	26	with	with	ADP
esrj-113518	95	27	fewer	few	ADJ
esrj-113518	95	28	parameters	parameter	NOUN
esrj-113518	95	29	than	than	ADP
esrj-113518	95	30	other	other	ADJ
esrj-113518	95	31	models	model	NOUN
esrj-113518	95	32	(	(	PUNCT
esrj-113518	95	33	hao	hao	PROPN
esrj-113518	95	34	,	,	PUNCT
esrj-113518	95	35	han	han	PROPN
esrj-113518	95	36	,	,	PUNCT
esrj-113518	95	37	yang	yang	PROPN
esrj-113518	95	38	,	,	PUNCT
esrj-113518	95	39	hao	hao	PROPN
esrj-113518	95	40	,	,	PUNCT
esrj-113518	95	41	&	&	CCONJ
esrj-113518	95	42	li	li	PROPN
esrj-113518	95	43	,	,	PUNCT
esrj-113518	95	44	2021	2021	NUM
esrj-113518	95	45	)	)	PUNCT
esrj-113518	95	46	.	.	PUNCT
esrj-113518	96	1	the	the	DET
esrj-113518	96	2	architecture	architecture	NOUN
esrj-113518	96	3	of	of	ADP
esrj-113518	96	4	efficientnet	efficientnet	NOUN
esrj-113518	96	5	consists	consist	VERB
esrj-113518	96	6	of	of	ADP
esrj-113518	96	7	multiple	multiple	ADJ
esrj-113518	96	8	blocks	block	NOUN
esrj-113518	96	9	,	,	PUNCT
esrj-113518	96	10	each	each	PRON
esrj-113518	96	11	containing	contain	VERB
esrj-113518	96	12	several	several	ADJ
esrj-113518	96	13	layers	layer	NOUN
esrj-113518	96	14	,	,	PUNCT
esrj-113518	96	15	including	include	VERB
esrj-113518	96	16	convolutional	convolutional	ADJ
esrj-113518	96	17	layers	layer	NOUN
esrj-113518	96	18	,	,	PUNCT
esrj-113518	96	19	batch	batch	NOUN
esrj-113518	96	20	normalization	normalization	NOUN
esrj-113518	96	21	,	,	PUNCT
esrj-113518	96	22	and	and	CCONJ
esrj-113518	96	23	relu	relu	NOUN
esrj-113518	96	24	activation	activation	NOUN
esrj-113518	96	25	(	(	PUNCT
esrj-113518	96	26	hoang	hoang	PROPN
esrj-113518	96	27	&	&	CCONJ
esrj-113518	96	28	jo	jo	PROPN
esrj-113518	96	29	,	,	PUNCT
esrj-113518	96	30	2021	2021	NUM
esrj-113518	96	31	)	)	PUNCT
esrj-113518	96	32	.	.	PUNCT
esrj-113518	97	1	the	the	DET
esrj-113518	97	2	blocks	block	NOUN
esrj-113518	97	3	are	be	AUX
esrj-113518	97	4	organized	organize	VERB
esrj-113518	97	5	hierarchically	hierarchically	ADV
esrj-113518	97	6	,	,	PUNCT
esrj-113518	97	7	with	with	ADP
esrj-113518	97	8	higher	high	ADJ
esrj-113518	97	9	-	-	PUNCT
esrj-113518	97	10	level	level	NOUN
esrj-113518	97	11	blocks	block	NOUN
esrj-113518	97	12	having	have	VERB
esrj-113518	97	13	fewer	few	ADJ
esrj-113518	97	14	channels	channel	NOUN
esrj-113518	97	15	and	and	CCONJ
esrj-113518	97	16	lower	low	ADJ
esrj-113518	97	17	spatial	spatial	ADJ
esrj-113518	97	18	resolution	resolution	NOUN
esrj-113518	97	19	,	,	PUNCT
esrj-113518	97	20	and	and	CCONJ
esrj-113518	97	21	lower	low	ADJ
esrj-113518	97	22	-	-	PUNCT
esrj-113518	97	23	level	level	NOUN
esrj-113518	97	24	blocks	block	NOUN
esrj-113518	97	25	having	have	VERB
esrj-113518	97	26	more	more	ADJ
esrj-113518	97	27	channels	channel	NOUN
esrj-113518	97	28	and	and	CCONJ
esrj-113518	97	29	higher	high	ADJ
esrj-113518	97	30	spatial	spatial	ADJ
esrj-113518	97	31	resolution	resolution	NOUN
esrj-113518	97	32	(	(	PUNCT
esrj-113518	97	33	x.	x.	NOUN
esrj-113518	97	34	he	he	PRON
esrj-113518	97	35	,	,	PUNCT
esrj-113518	97	36	zhao	zhao	PROPN
esrj-113518	97	37	,	,	PUNCT
esrj-113518	97	38	&	&	CCONJ
esrj-113518	97	39	chu	chu	PROPN
esrj-113518	97	40	,	,	PUNCT
esrj-113518	97	41	2021	2021	NUM
esrj-113518	97	42	)	)	PUNCT
esrj-113518	97	43	.	.	PUNCT
esrj-113518	98	1	the	the	DET
esrj-113518	98	2	compound	compound	NOUN
esrj-113518	98	3	scaling	scaling	NOUN
esrj-113518	98	4	method	method	NOUN
esrj-113518	98	5	used	use	VERB
esrj-113518	98	6	in	in	ADP
esrj-113518	98	7	efficient	efficient	ADJ
esrj-113518	98	8	-	-	PUNCT
esrj-113518	98	9	net	net	NOUN
esrj-113518	98	10	involves	involve	VERB
esrj-113518	98	11	scaling	scale	VERB
esrj-113518	98	12	the	the	DET
esrj-113518	98	13	depth	depth	NOUN
esrj-113518	98	14	,	,	PUNCT
esrj-113518	98	15	width	width	ADJ
esrj-113518	98	16	,	,	PUNCT
esrj-113518	98	17	and	and	CCONJ
esrj-113518	98	18	resolution	resolution	NOUN
esrj-113518	98	19	of	of	ADP
esrj-113518	98	20	the	the	DET
esrj-113518	98	21	network	network	NOUN
esrj-113518	98	22	in	in	ADP
esrj-113518	98	23	a	a	DET
esrj-113518	98	24	balanced	balanced	ADJ
esrj-113518	98	25	way	way	NOUN
esrj-113518	98	26	(	(	PUNCT
esrj-113518	98	27	tan	tan	PROPN
esrj-113518	98	28	&	&	CCONJ
esrj-113518	98	29	le	le	PROPN
esrj-113518	98	30	,	,	PUNCT
esrj-113518	98	31	2019	2019	NUM
esrj-113518	98	32	)	)	PUNCT
esrj-113518	98	33	.	.	PUNCT
esrj-113518	99	1	the	the	DET
esrj-113518	99	2	depth	depth	NOUN
esrj-113518	99	3	is	be	AUX
esrj-113518	99	4	scaled	scale	VERB
esrj-113518	99	5	by	by	ADP
esrj-113518	99	6	increasing	increase	VERB
esrj-113518	99	7	the	the	DET
esrj-113518	99	8	number	number	NOUN
esrj-113518	99	9	of	of	ADP
esrj-113518	99	10	layers	layer	NOUN
esrj-113518	99	11	,	,	PUNCT
esrj-113518	99	12	the	the	DET
esrj-113518	99	13	width	width	NOUN
esrj-113518	99	14	is	be	AUX
esrj-113518	99	15	scaled	scale	VERB
esrj-113518	99	16	by	by	ADP
esrj-113518	99	17	increasing	increase	VERB
esrj-113518	99	18	the	the	DET
esrj-113518	99	19	number	number	NOUN
esrj-113518	99	20	of	of	ADP
esrj-113518	99	21	channels	channel	NOUN
esrj-113518	99	22	,	,	PUNCT
esrj-113518	99	23	and	and	CCONJ
esrj-113518	99	24	the	the	DET
esrj-113518	99	25	resolution	resolution	NOUN
esrj-113518	99	26	is	be	AUX
esrj-113518	99	27	scaled	scale	VERB
esrj-113518	99	28	by	by	ADP
esrj-113518	99	29	increasing	increase	VERB
esrj-113518	99	30	the	the	DET
esrj-113518	99	31	input	input	NOUN
esrj-113518	99	32	image	image	NOUN
esrj-113518	99	33	size	size	NOUN
esrj-113518	99	34	.	.	PUNCT
esrj-113518	100	1	efficient	efficient	ADJ
esrj-113518	100	2	-	-	PUNCT
esrj-113518	100	3	net	net	NOUN
esrj-113518	100	4	requires	require	VERB
esrj-113518	100	5	fewer	few	ADJ
esrj-113518	100	6	processing	processing	NOUN
esrj-113518	100	7	resources	resource	NOUN
esrj-113518	100	8	than	than	ADP
esrj-113518	100	9	other	other	ADJ
esrj-113518	100	10	models	model	NOUN
esrj-113518	100	11	,	,	PUNCT
esrj-113518	100	12	yet	yet	CCONJ
esrj-113518	100	13	it	it	PRON
esrj-113518	100	14	delivers	deliver	VERB
esrj-113518	100	15	state	state	NOUN
esrj-113518	100	16	-	-	PUNCT
esrj-113518	100	17	of	of	ADP
esrj-113518	100	18	-	-	PUNCT
esrj-113518	100	19	the	the	DET
esrj-113518	100	20	-	-	PUNCT
esrj-113518	100	21	art	art	NOUN
esrj-113518	100	22	performance	performance	NOUN
esrj-113518	100	23	on	on	ADP
esrj-113518	100	24	several	several	ADJ
esrj-113518	100	25	computer	computer	NOUN
esrj-113518	100	26	vision	vision	NOUN
esrj-113518	100	27	benchmarks	benchmark	NOUN
esrj-113518	100	28	by	by	ADP
esrj-113518	100	29	striking	strike	VERB
esrj-113518	100	30	a	a	DET
esrj-113518	100	31	balance	balance	NOUN
esrj-113518	100	32	between	between	ADP
esrj-113518	100	33	these	these	DET
esrj-113518	100	34	aspects	aspect	NOUN
esrj-113518	100	35	.	.	PUNCT
esrj-113518	101	1	efficient	efficient	ADJ
esrj-113518	101	2	-	-	PUNCT
esrj-113518	101	3	net	net	NOUN
esrj-113518	101	4	makes	make	VERB
esrj-113518	101	5	use	use	NOUN
esrj-113518	101	6	of	of	ADP
esrj-113518	101	7	a	a	DET
esrj-113518	101	8	method	method	NOUN
esrj-113518	101	9	known	know	VERB
esrj-113518	101	10	as	as	ADP
esrj-113518	101	11	“	"	PUNCT
esrj-113518	101	12	swish	swish	ADJ
esrj-113518	101	13	”	"	PUNCT
esrj-113518	101	14	activation	activation	NOUN
esrj-113518	101	15	,	,	PUNCT
esrj-113518	101	16	which	which	PRON
esrj-113518	101	17	is	be	AUX
esrj-113518	101	18	a	a	DET
esrj-113518	101	19	relu	relu	NOUN
esrj-113518	101	20	activation	activation	NOUN
esrj-113518	101	21	function	function	NOUN
esrj-113518	101	22	variation	variation	NOUN
esrj-113518	101	23	that	that	PRON
esrj-113518	101	24	has	have	AUX
esrj-113518	101	25	been	be	AUX
esrj-113518	101	26	demonstrated	demonstrate	VERB
esrj-113518	101	27	to	to	PART
esrj-113518	101	28	enhance	enhance	VERB
esrj-113518	101	29	model	model	NOUN
esrj-113518	101	30	performance	performance	NOUN
esrj-113518	101	31	.	.	PUNCT
esrj-113518	102	1	also	also	ADV
esrj-113518	102	2	,	,	PUNCT
esrj-113518	102	3	efficient	efficient	ADJ
esrj-113518	102	4	-	-	PUNCT
esrj-113518	102	5	net	net	NOUN
esrj-113518	102	6	employs	employ	VERB
esrj-113518	102	7	a	a	DET
esrj-113518	102	8	method	method	NOUN
esrj-113518	102	9	known	know	VERB
esrj-113518	102	10	as	as	ADP
esrj-113518	102	11	“	"	PUNCT
esrj-113518	102	12	stochastic	stochastic	ADJ
esrj-113518	102	13	depth	depth	NOUN
esrj-113518	102	14	”	"	PUNCT
esrj-113518	102	15	to	to	PART
esrj-113518	102	16	drop	drop	VERB
esrj-113518	102	17	several	several	ADJ
esrj-113518	102	18	layers	layer	NOUN
esrj-113518	102	19	at	at	ADP
esrj-113518	102	20	random	random	ADJ
esrj-113518	102	21	during	during	ADP
esrj-113518	102	22	training	training	NOUN
esrj-113518	102	23	in	in	ADP
esrj-113518	102	24	an	an	DET
esrj-113518	102	25	effort	effort	NOUN
esrj-113518	102	26	to	to	PART
esrj-113518	102	27	reduce	reduce	VERB
esrj-113518	102	28	over	over	ADV
esrj-113518	102	29	-	-	PUNCT
esrj-113518	102	30	fitting	fit	VERB
esrj-113518	102	31	and	and	CCONJ
esrj-113518	102	32	enhance	enhance	VERB
esrj-113518	102	33	model	model	NOUN
esrj-113518	102	34	performance	performance	NOUN
esrj-113518	102	35	.	.	PUNCT
esrj-113518	103	1	efficient	efficient	ADJ
esrj-113518	103	2	-	-	PUNCT
esrj-113518	103	3	net	net	NOUN
esrj-113518	103	4	is	be	AUX
esrj-113518	103	5	a	a	DET
esrj-113518	103	6	deep	deep	ADJ
esrj-113518	103	7	learning	learning	NOUN
esrj-113518	103	8	network	network	NOUN
esrj-113518	103	9	that	that	PRON
esrj-113518	103	10	is	be	AUX
esrj-113518	103	11	incredibly	incredibly	ADV
esrj-113518	103	12	effective	effective	ADJ
esrj-113518	103	13	and	and	CCONJ
esrj-113518	103	14	efficient	efficient	ADJ
esrj-113518	103	15	.	.	PUNCT
esrj-113518	104	1	it	it	PRON
esrj-113518	104	2	has	have	AUX
esrj-113518	104	3	demonstrated	demonstrate	VERB
esrj-113518	104	4	state	state	NOUN
esrj-113518	104	5	-	-	PUNCT
esrj-113518	104	6	of	of	ADP
esrj-113518	104	7	-	-	PUNCT
esrj-113518	104	8	the	the	DET
esrj-113518	104	9	-	-	PUNCT
esrj-113518	104	10	art	art	NOUN
esrj-113518	104	11	performance	performance	NOUN
esrj-113518	104	12	on	on	ADP
esrj-113518	104	13	many	many	ADJ
esrj-113518	104	14	computer	computer	NOUN
esrj-113518	104	15	vision	vision	NOUN
esrj-113518	104	16	tasks	task	NOUN
esrj-113518	104	17	,	,	PUNCT
esrj-113518	104	18	such	such	ADJ
esrj-113518	104	19	as	as	ADP
esrj-113518	104	20	semantic	semantic	ADJ
esrj-113518	104	21	segmentation	segmentation	NOUN
esrj-113518	104	22	,	,	PUNCT
esrj-113518	104	23	object	object	NOUN
esrj-113518	104	24	detection	detection	NOUN
esrj-113518	104	25	,	,	PUNCT
esrj-113518	104	26	and	and	CCONJ
esrj-113518	104	27	image	image	NOUN
esrj-113518	104	28	classification	classification	NOUN
esrj-113518	104	29	.	.	PUNCT
esrj-113518	105	1	the	the	DET
esrj-113518	105	2	smallest	small	ADJ
esrj-113518	105	3	variant	variant	NOUN
esrj-113518	105	4	in	in	ADP
esrj-113518	105	5	the	the	DET
esrj-113518	105	6	efficient	efficient	ADJ
esrj-113518	105	7	net	net	ADJ
esrj-113518	105	8	family	family	NOUN
esrj-113518	105	9	is	be	AUX
esrj-113518	105	10	the	the	DET
esrj-113518	105	11	efficient	efficient	ADJ
esrj-113518	105	12	-	-	PUNCT
esrj-113518	105	13	net	net	NOUN
esrj-113518	105	14	-	-	PUNCT
esrj-113518	105	15	b0	b0	NOUN
esrj-113518	105	16	.	.	PUNCT
esrj-113518	106	1	it	it	PRON
esrj-113518	106	2	is	be	AUX
esrj-113518	106	3	intended	intend	VERB
esrj-113518	106	4	to	to	PART
esrj-113518	106	5	be	be	AUX
esrj-113518	106	6	a	a	DET
esrj-113518	106	7	lightweight	lightweight	ADJ
esrj-113518	106	8	and	and	CCONJ
esrj-113518	106	9	effective	effective	ADJ
esrj-113518	106	10	model	model	NOUN
esrj-113518	106	11	.	.	PUNCT
esrj-113518	107	1	the	the	DET
esrj-113518	107	2	efficient	efficient	ADJ
esrj-113518	107	3	-	-	PUNCT
esrj-113518	107	4	net	net	NOUN
esrj-113518	107	5	-	-	PUNCT
esrj-113518	107	6	b0	b0	NOUN
esrj-113518	107	7	architecture	architecture	NOUN
esrj-113518	107	8	is	be	AUX
esrj-113518	107	9	made	make	VERB
esrj-113518	107	10	up	up	ADP
esrj-113518	107	11	of	of	ADP
esrj-113518	107	12	numerous	numerous	ADJ
esrj-113518	107	13	blocks	block	NOUN
esrj-113518	107	14	,	,	PUNCT
esrj-113518	107	15	each	each	PRON
esrj-113518	107	16	of	of	ADP
esrj-113518	107	17	which	which	PRON
esrj-113518	107	18	has	have	VERB
esrj-113518	107	19	a	a	DET
esrj-113518	107	20	number	number	NOUN
esrj-113518	107	21	of	of	ADP
esrj-113518	107	22	layers	layer	NOUN
esrj-113518	107	23	,	,	PUNCT
esrj-113518	107	24	including	include	VERB
esrj-113518	107	25	batch	batch	NOUN
esrj-113518	107	26	normalization	normalization	NOUN
esrj-113518	107	27	,	,	PUNCT
esrj-113518	107	28	convolutional	convolutional	ADJ
esrj-113518	107	29	layers	layer	NOUN
esrj-113518	107	30	,	,	PUNCT
esrj-113518	107	31	and	and	CCONJ
esrj-113518	107	32	the	the	DET
esrj-113518	107	33	swish	swish	ADJ
esrj-113518	107	34	activation	activation	NOUN
esrj-113518	107	35	function	function	NOUN
esrj-113518	107	36	.	.	PUNCT
esrj-113518	108	1	because	because	SCONJ
esrj-113518	108	2	of	of	ADP
esrj-113518	108	3	the	the	DET
esrj-113518	108	4	hierarchical	hierarchical	ADJ
esrj-113518	108	5	organization	organization	NOUN
esrj-113518	108	6	of	of	ADP
esrj-113518	108	7	the	the	DET
esrj-113518	108	8	blocks	block	NOUN
esrj-113518	108	9	,	,	PUNCT
esrj-113518	108	10	lower	low	ADJ
esrj-113518	108	11	-	-	PUNCT
esrj-113518	108	12	level	level	NOUN
esrj-113518	108	13	blocks	block	NOUN
esrj-113518	108	14	have	have	VERB
esrj-113518	108	15	more	more	ADJ
esrj-113518	108	16	channels	channel	NOUN
esrj-113518	108	17	and	and	CCONJ
esrj-113518	108	18	higher	high	ADJ
esrj-113518	108	19	spatial	spatial	ADJ
esrj-113518	108	20	resolution	resolution	NOUN
esrj-113518	108	21	,	,	PUNCT
esrj-113518	108	22	whereas	whereas	SCONJ
esrj-113518	108	23	higher	high	ADJ
esrj-113518	108	24	-	-	PUNCT
esrj-113518	108	25	level	level	NOUN
esrj-113518	108	26	blocks	block	NOUN
esrj-113518	108	27	have	have	VERB
esrj-113518	108	28	fewer	few	ADJ
esrj-113518	108	29	channels	channel	NOUN
esrj-113518	108	30	and	and	CCONJ
esrj-113518	108	31	lower	low	ADJ
esrj-113518	108	32	spatial	spatial	ADJ
esrj-113518	108	33	resolution	resolution	NOUN
esrj-113518	108	34	.	.	PUNCT
esrj-113518	109	1	compound	compound	NOUN
esrj-113518	109	2	scaling	scaling	NOUN
esrj-113518	109	3	is	be	AUX
esrj-113518	109	4	used	use	VERB
esrj-113518	109	5	by	by	ADP
esrj-113518	109	6	efficient	efficient	ADJ
esrj-113518	109	7	-	-	PUNCT
esrj-113518	109	8	net	net	NOUN
esrj-113518	109	9	-	-	PUNCT
esrj-113518	109	10	b0	b0	NOUN
esrj-113518	109	11	to	to	PART
esrj-113518	109	12	maintain	maintain	VERB
esrj-113518	109	13	network	network	NOUN
esrj-113518	109	14	balance	balance	NOUN
esrj-113518	109	15	in	in	ADP
esrj-113518	109	16	terms	term	NOUN
esrj-113518	109	17	of	of	ADP
esrj-113518	109	18	depth	depth	NOUN
esrj-113518	109	19	,	,	PUNCT
esrj-113518	109	20	width	width	ADJ
esrj-113518	109	21	,	,	PUNCT
esrj-113518	109	22	and	and	CCONJ
esrj-113518	109	23	resolution	resolution	NOUN
esrj-113518	109	24	.	.	PUNCT
esrj-113518	110	1	the	the	DET
esrj-113518	110	2	number	number	NOUN
esrj-113518	110	3	of	of	ADP
esrj-113518	110	4	channels	channel	NOUN
esrj-113518	110	5	increases	increase	VERB
esrj-113518	110	6	the	the	DET
esrj-113518	110	7	breadth	breadth	NOUN
esrj-113518	110	8	,	,	PUNCT
esrj-113518	110	9	the	the	DET
esrj-113518	110	10	number	number	NOUN
esrj-113518	110	11	of	of	ADP
esrj-113518	110	12	layers	layer	NOUN
esrj-113518	110	13	increases	increase	VERB
esrj-113518	110	14	the	the	DET
esrj-113518	110	15	depth	depth	NOUN
esrj-113518	110	16	,	,	PUNCT
esrj-113518	110	17	and	and	CCONJ
esrj-113518	110	18	the	the	DET
esrj-113518	110	19	size	size	NOUN
esrj-113518	110	20	of	of	ADP
esrj-113518	110	21	the	the	DET
esrj-113518	110	22	input	input	NOUN
esrj-113518	110	23	image	image	NOUN
esrj-113518	110	24	increases	increase	VERB
esrj-113518	110	25	the	the	DET
esrj-113518	110	26	resolution	resolution	NOUN
esrj-113518	110	27	.	.	PUNCT
esrj-113518	111	1	numerous	numerous	ADJ
esrj-113518	111	2	computer	computer	NOUN
esrj-113518	111	3	vision	vision	NOUN
esrj-113518	111	4	tasks	task	NOUN
esrj-113518	111	5	,	,	PUNCT
esrj-113518	111	6	such	such	ADJ
esrj-113518	111	7	as	as	ADP
esrj-113518	111	8	semantic	semantic	ADJ
esrj-113518	111	9	segmentation	segmentation	NOUN
esrj-113518	111	10	,	,	PUNCT
esrj-113518	111	11	object	object	NOUN
esrj-113518	111	12	detection	detection	NOUN
esrj-113518	111	13	,	,	PUNCT
esrj-113518	111	14	and	and	CCONJ
esrj-113518	111	15	image	image	NOUN
esrj-113518	111	16	classification	classification	NOUN
esrj-113518	111	17	,	,	PUNCT
esrj-113518	111	18	have	have	AUX
esrj-113518	111	19	demonstrated	demonstrate	VERB
esrj-113518	111	20	the	the	DET
esrj-113518	111	21	efficacy	efficacy	NOUN
esrj-113518	111	22	of	of	ADP
esrj-113518	111	23	efficient	efficient	ADJ
esrj-113518	111	24	-	-	PUNCT
esrj-113518	111	25	net	net	NOUN
esrj-113518	111	26	-	-	PUNCT
esrj-113518	111	27	b0	b0	NOUN
esrj-113518	111	28	.	.	PUNCT
esrj-113518	112	1	numerous	numerous	ADJ
esrj-113518	112	2	real	real	ADJ
esrj-113518	112	3	-	-	PUNCT
esrj-113518	112	4	world	world	NOUN
esrj-113518	112	5	applications	application	NOUN
esrj-113518	112	6	have	have	AUX
esrj-113518	112	7	made	make	VERB
esrj-113518	112	8	use	use	NOUN
esrj-113518	112	9	of	of	ADP
esrj-113518	112	10	it	it	PRON
esrj-113518	112	11	,	,	PUNCT
esrj-113518	112	12	including	include	VERB
esrj-113518	112	13	pedestrian	pedestrian	NOUN
esrj-113518	112	14	detection	detection	NOUN
esrj-113518	112	15	in	in	ADP
esrj-113518	112	16	surveillance	surveillance	NOUN
esrj-113518	112	17	systems	system	NOUN
esrj-113518	112	18	and	and	CCONJ
esrj-113518	112	19	mobile	mobile	ADJ
esrj-113518	112	20	facial	facial	ADJ
esrj-113518	112	21	recognition	recognition	NOUN
esrj-113518	112	22	(	(	PUNCT
esrj-113518	112	23	arif	arif	PROPN
esrj-113518	112	24	et	et	PROPN
esrj-113518	112	25	al	al	PROPN
esrj-113518	112	26	.	.	PROPN
esrj-113518	112	27	,	,	PUNCT
esrj-113518	112	28	2022	2022	NUM
esrj-113518	112	29	)	)	PUNCT
esrj-113518	112	30	.	.	PUNCT
esrj-113518	113	1	it	it	PRON
esrj-113518	113	2	addresses	address	VERB
esrj-113518	113	3	challenges	challenge	NOUN
esrj-113518	113	4	in	in	ADP
esrj-113518	113	5	farmland	farmland	NOUN
esrj-113518	113	6	semantic	semantic	ADJ
esrj-113518	113	7	segmentation	segmentation	NOUN
esrj-113518	113	8	,	,	PUNCT
esrj-113518	113	9	such	such	ADJ
esrj-113518	113	10	as	as	ADP
esrj-113518	113	11	variations	variation	NOUN
esrj-113518	113	12	in	in	ADP
esrj-113518	113	13	scale	scale	NOUN
esrj-113518	113	14	and	and	CCONJ
esrj-113518	113	15	similar	similar	ADJ
esrj-113518	113	16	visual	visual	ADJ
esrj-113518	113	17	features	feature	NOUN
esrj-113518	113	18	among	among	ADP
esrj-113518	113	19	agriculture	agriculture	NOUN
esrj-113518	113	20	patterns	pattern	NOUN
esrj-113518	113	21	.	.	PUNCT
esrj-113518	114	1	it	it	PRON
esrj-113518	114	2	has	have	VERB
esrj-113518	114	3	two	two	NUM
esrj-113518	114	4	key	key	ADJ
esrj-113518	114	5	modules	module	NOUN
esrj-113518	114	6	:	:	PUNCT
esrj-113518	114	7	a	a	DET
esrj-113518	114	8	feature	feature	NOUN
esrj-113518	114	9	fusion	fusion	NOUN
esrj-113518	114	10	module	module	NOUN
esrj-113518	114	11	to	to	PART
esrj-113518	114	12	capture	capture	VERB
esrj-113518	114	13	multi	multi	ADJ
esrj-113518	114	14	-	-	ADJ
esrj-113518	114	15	scale	scale	ADJ
esrj-113518	114	16	variations	variation	NOUN
esrj-113518	114	17	and	and	CCONJ
esrj-113518	114	18	a	a	DET
esrj-113518	114	19	global	global	ADJ
esrj-113518	114	20	contextual	contextual	ADJ
esrj-113518	114	21	module	module	NOUN
esrj-113518	114	22	using	use	VERB
esrj-113518	114	23	pyramid	pyramid	NOUN
esrj-113518	114	24	pooling	pool	VERB
esrj-113518	114	25	to	to	PART
esrj-113518	114	26	aggregate	aggregate	VERB
esrj-113518	114	27	contextual	contextual	ADJ
esrj-113518	114	28	information	information	NOUN
esrj-113518	114	29	from	from	ADP
esrj-113518	114	30	different	different	ADJ
esrj-113518	114	31	image	image	NOUN
esrj-113518	114	32	regions	region	NOUN
esrj-113518	114	33	.	.	PUNCT
esrj-113518	115	1	experimental	experimental	ADJ
esrj-113518	115	2	results	result	NOUN
esrj-113518	115	3	on	on	ADP
esrj-113518	115	4	the	the	DET
esrj-113518	115	5	agriculture	agriculture	NOUN
esrj-113518	115	6	-	-	PUNCT
esrj-113518	115	7	vision	vision	NOUN
esrj-113518	115	8	benchmark	benchmark	NOUN
esrj-113518	115	9	dataset	dataset	NOUN
esrj-113518	115	10	show	show	NOUN
esrj-113518	115	11	that	that	SCONJ
esrj-113518	115	12	the	the	DET
esrj-113518	115	13	framework	framework	NOUN
esrj-113518	115	14	outperforms	outperform	VERB
esrj-113518	115	15	state	state	NOUN
esrj-113518	115	16	-	-	PUNCT
esrj-113518	115	17	of	of	ADP
esrj-113518	115	18	-	-	PUNCT
esrj-113518	115	19	the	the	DET
esrj-113518	115	20	-	-	PUNCT
esrj-113518	115	21	art	art	NOUN
esrj-113518	115	22	methods	method	NOUN
esrj-113518	115	23	,	,	PUNCT
esrj-113518	115	24	achieving	achieve	VERB
esrj-113518	115	25	superior	superior	ADJ
esrj-113518	115	26	performance	performance	NOUN
esrj-113518	115	27	in	in	ADP
esrj-113518	115	28	identifying	identify	VERB
esrj-113518	115	29	complex	complex	ADJ
esrj-113518	115	30	agricultural	agricultural	ADJ
esrj-113518	115	31	patterns	pattern	NOUN
esrj-113518	115	32	(	(	PUNCT
esrj-113518	115	33	khan	khan	PROPN
esrj-113518	115	34	,	,	PUNCT
esrj-113518	115	35	alarabi	alarabi	PROPN
esrj-113518	115	36	,	,	PUNCT
esrj-113518	115	37	&	&	CCONJ
esrj-113518	115	38	basalamah	basalamah	PROPN
esrj-113518	115	39	,	,	PUNCT
esrj-113518	115	40	2023b	2023b	NUM
esrj-113518	115	41	)	)	PUNCT
esrj-113518	115	42	this	this	DET
esrj-113518	115	43	article	article	NOUN
esrj-113518	115	44	addresses	address	VERB
esrj-113518	115	45	the	the	DET
esrj-113518	115	46	problem	problem	NOUN
esrj-113518	115	47	of	of	ADP
esrj-113518	115	48	land	land	NOUN
esrj-113518	115	49	scene	scene	NOUN
esrj-113518	115	50	classification	classification	NOUN
esrj-113518	115	51	in	in	ADP
esrj-113518	115	52	satellite	satellite	NOUN
esrj-113518	115	53	imagery	imagery	NOUN
esrj-113518	115	54	faces	face	VERB
esrj-113518	115	55	challenges	challenge	NOUN
esrj-113518	115	56	due	due	ADJ
esrj-113518	115	57	to	to	ADP
esrj-113518	115	58	complex	complex	ADJ
esrj-113518	115	59	textures	texture	NOUN
esrj-113518	115	60	,	,	PUNCT
esrj-113518	115	61	cluttered	cluttered	ADJ
esrj-113518	115	62	backgrounds	background	NOUN
esrj-113518	115	63	,	,	PUNCT
esrj-113518	115	64	small	small	ADJ
esrj-113518	115	65	object	object	NOUN
esrj-113518	115	66	sizes	size	NOUN
esrj-113518	115	67	,	,	PUNCT
esrj-113518	115	68	and	and	CCONJ
esrj-113518	115	69	scale	scale	NOUN
esrj-113518	115	70	variations	variation	NOUN
esrj-113518	115	71	in	in	ADP
esrj-113518	115	72	objects	object	NOUN
esrj-113518	115	73	.	.	PUNCT
esrj-113518	116	1	it	it	PRON
esrj-113518	116	2	focuses	focus	VERB
esrj-113518	116	3	on	on	ADP
esrj-113518	116	4	multi	multi	ADJ
esrj-113518	116	5	-	-	ADJ
esrj-113518	116	6	branch	branch	ADJ
esrj-113518	116	7	deep	deep	ADJ
esrj-113518	116	8	learning	learning	NOUN
esrj-113518	116	9	framework	framework	NOUN
esrj-113518	116	10	addresses	address	NOUN
esrj-113518	116	11	these	these	DET
esrj-113518	116	12	issues	issue	NOUN
esrj-113518	116	13	by	by	ADP
esrj-113518	116	14	combining	combine	VERB
esrj-113518	116	15	global	global	ADJ
esrj-113518	116	16	contextual	contextual	ADJ
esrj-113518	116	17	features	feature	NOUN
esrj-113518	116	18	and	and	CCONJ
esrj-113518	116	19	multi	multi	ADJ
esrj-113518	116	20	-	-	ADJ
esrj-113518	116	21	scale	scale	ADJ
esrj-113518	116	22	local	local	ADJ
esrj-113518	116	23	features	feature	NOUN
esrj-113518	116	24	through	through	ADP
esrj-113518	116	25	two	two	NUM
esrj-113518	116	26	branches	branch	NOUN
esrj-113518	116	27	:	:	PUNCT
esrj-113518	116	28	one	one	NUM
esrj-113518	116	29	for	for	ADP
esrj-113518	116	30	global	global	ADJ
esrj-113518	116	31	information	information	NOUN
esrj-113518	116	32	extraction	extraction	NOUN
esrj-113518	116	33	and	and	CCONJ
esrj-113518	116	34	the	the	DET
esrj-113518	116	35	other	other	ADJ
esrj-113518	116	36	using	use	VERB
esrj-113518	116	37	a	a	DET
esrj-113518	116	38	fully	fully	ADV
esrj-113518	116	39	convolutional	convolutional	ADJ
esrj-113518	116	40	network	network	NOUN
esrj-113518	116	41	(	(	PUNCT
esrj-113518	116	42	fcn	fcn	PROPN
esrj-113518	116	43	)	)	PUNCT
esrj-113518	116	44	for	for	ADP
esrj-113518	116	45	local	local	ADJ
esrj-113518	116	46	features	feature	NOUN
esrj-113518	116	47	.	.	PUNCT
esrj-113518	117	1	the	the	DET
esrj-113518	117	2	results	result	NOUN
esrj-113518	117	3	on	on	ADP
esrj-113518	117	4	the	the	DET
esrj-113518	117	5	uc	uc	PROPN
esrj-113518	117	6	-	-	PUNCT
esrj-113518	117	7	merced	merced	ADJ
esrj-113518	117	8	,	,	PUNCT
esrj-113518	117	9	siri	siri	NOUN
esrj-113518	117	10	-	-	PUNCT
esrj-113518	117	11	whu	whu	VERB
esrj-113518	117	12	,	,	PUNCT
esrj-113518	117	13	and	and	CCONJ
esrj-113518	117	14	eurosat	eurosat	NOUN
esrj-113518	117	15	datasets	dataset	NOUN
esrj-113518	117	16	show	show	VERB
esrj-113518	117	17	that	that	SCONJ
esrj-113518	117	18	the	the	DET
esrj-113518	117	19	proposed	propose	VERB
esrj-113518	117	20	framework	framework	NOUN
esrj-113518	117	21	outperforms	outperform	VERB
esrj-113518	117	22	other	other	ADJ
esrj-113518	117	23	models	model	NOUN
esrj-113518	117	24	in	in	ADP
esrj-113518	117	25	classifying	classify	VERB
esrj-113518	117	26	complex	complex	ADJ
esrj-113518	117	27	land	land	NOUN
esrj-113518	117	28	scenes	scene	NOUN
esrj-113518	117	29	in	in	ADP
esrj-113518	117	30	high	high	ADJ
esrj-113518	117	31	-	-	PUNCT
esrj-113518	117	32	resolution	resolution	NOUN
esrj-113518	117	33	satellite	satellite	NOUN
esrj-113518	117	34	images	image	NOUN
esrj-113518	117	35	(	(	PUNCT
esrj-113518	117	36	khan	khan	PROPN
esrj-113518	117	37	&	&	CCONJ
esrj-113518	117	38	basalamah	basalamah	PROPN
esrj-113518	117	39	,	,	PUNCT
esrj-113518	117	40	2023	2023	NUM
esrj-113518	117	41	)	)	PUNCT
esrj-113518	117	42	.	.	PUNCT
esrj-113518	118	1	the	the	DET
esrj-113518	118	2	article	article	NOUN
esrj-113518	118	3	discussed	discuss	VERB
esrj-113518	118	4	the	the	DET
esrj-113518	118	5	problem	problem	NOUN
esrj-113518	118	6	of	of	ADP
esrj-113518	118	7	road	road	NOUN
esrj-113518	118	8	segmentation	segmentation	NOUN
esrj-113518	118	9	in	in	ADP
esrj-113518	118	10	high	high	ADJ
esrj-113518	118	11	-	-	PUNCT
esrj-113518	118	12	resolution	resolution	NOUN
esrj-113518	118	13	satellite	satellite	NOUN
esrj-113518	118	14	images	image	NOUN
esrj-113518	118	15	that	that	PRON
esrj-113518	118	16	is	be	AUX
esrj-113518	118	17	crucial	crucial	ADJ
esrj-113518	118	18	for	for	ADP
esrj-113518	118	19	traffic	traffic	NOUN
esrj-113518	118	20	monitoring	monitoring	NOUN
esrj-113518	118	21	and	and	CCONJ
esrj-113518	118	22	intelligent	intelligent	ADJ
esrj-113518	118	23	transportation	transportation	NOUN
esrj-113518	118	24	,	,	PUNCT
esrj-113518	118	25	as	as	SCONJ
esrj-113518	118	26	it	it	PRON
esrj-113518	118	27	faces	face	VERB
esrj-113518	118	28	challenges	challenge	NOUN
esrj-113518	118	29	such	such	ADJ
esrj-113518	118	30	as	as	ADP
esrj-113518	118	31	cluttered	cluttered	ADJ
esrj-113518	118	32	backgrounds	background	NOUN
esrj-113518	118	33	,	,	PUNCT
esrj-113518	118	34	inter	inter	ADJ
esrj-113518	118	35	-	-	ADJ
esrj-113518	118	36	class	class	ADJ
esrj-113518	118	37	correlation	correlation	NOUN
esrj-113518	118	38	,	,	PUNCT
esrj-113518	118	39	and	and	CCONJ
esrj-113518	118	40	occlusions	occlusion	NOUN
esrj-113518	118	41	.	.	PUNCT
esrj-113518	119	1	dsmsa	dsmsa	NOUN
esrj-113518	119	2	-	-	PUNCT
esrj-113518	119	3	net	net	NOUN
esrj-113518	119	4	,	,	PUNCT
esrj-113518	119	5	an	an	DET
esrj-113518	119	6	encoder	encoder	NOUN
esrj-113518	119	7	-	-	PUNCT
esrj-113518	119	8	decoder	decoder	NOUN
esrj-113518	119	9	network	network	NOUN
esrj-113518	119	10	with	with	ADP
esrj-113518	119	11	attention	attention	NOUN
esrj-113518	119	12	units	unit	NOUN
esrj-113518	119	13	,	,	PUNCT
esrj-113518	119	14	efficiently	efficiently	ADV
esrj-113518	119	15	addresses	address	VERB
esrj-113518	119	16	these	these	DET
esrj-113518	119	17	challenges	challenge	NOUN
esrj-113518	119	18	by	by	ADP
esrj-113518	119	19	extracting	extract	VERB
esrj-113518	119	20	multi	multi	ADJ
esrj-113518	119	21	-	-	ADJ
esrj-113518	119	22	scale	scale	ADJ
esrj-113518	119	23	features	feature	NOUN
esrj-113518	119	24	and	and	CCONJ
esrj-113518	119	25	improving	improve	VERB
esrj-113518	119	26	spatial	spatial	ADJ
esrj-113518	119	27	representation	representation	NOUN
esrj-113518	119	28	using	use	VERB
esrj-113518	119	29	two	two	NUM
esrj-113518	119	30	attention	attention	NOUN
esrj-113518	119	31	modules	module	NOUN
esrj-113518	119	32	:	:	PUNCT
esrj-113518	119	33	scale	scale	NOUN
esrj-113518	119	34	attention	attention	NOUN
esrj-113518	119	35	unit	unit	NOUN
esrj-113518	119	36	(	(	PUNCT
esrj-113518	119	37	saau	saau	PROPN
esrj-113518	119	38	)	)	PUNCT
esrj-113518	119	39	and	and	CCONJ
esrj-113518	119	40	spatial	spatial	ADJ
esrj-113518	119	41	attention	attention	NOUN
esrj-113518	119	42	unit	unit	NOUN
esrj-113518	119	43	(	(	PUNCT
esrj-113518	119	44	spau).the	spau).the	DET
esrj-113518	119	45	framework	framework	NOUN
esrj-113518	119	46	is	be	AUX
esrj-113518	119	47	evaluated	evaluate	VERB
esrj-113518	119	48	on	on	ADP
esrj-113518	119	49	two	two	NUM
esrj-113518	119	50	benchmark	benchmark	ADJ
esrj-113518	119	51	datasets	dataset	NOUN
esrj-113518	119	52	,	,	PUNCT
esrj-113518	119	53	deepglobe	deepglobe	NOUN
esrj-113518	119	54	and	and	CCONJ
esrj-113518	119	55	massachusetts	massachusetts	PROPN
esrj-113518	119	56	road	road	NOUN
esrj-113518	119	57	dataset	dataset	NOUN
esrj-113518	119	58	,	,	PUNCT
esrj-113518	119	59	and	and	CCONJ
esrj-113518	119	60	the	the	DET
esrj-113518	119	61	results	result	NOUN
esrj-113518	119	62	demonstrate	demonstrate	VERB
esrj-113518	119	63	that	that	SCONJ
esrj-113518	119	64	it	it	PRON
esrj-113518	119	65	achieves	achieve	VERB
esrj-113518	119	66	superior	superior	ADJ
esrj-113518	119	67	performance	performance	NOUN
esrj-113518	119	68	in	in	ADP
esrj-113518	119	69	road	road	NOUN
esrj-113518	119	70	extraction	extraction	NOUN
esrj-113518	119	71	compared	compare	VERB
esrj-113518	119	72	to	to	ADP
esrj-113518	119	73	other	other	ADJ
esrj-113518	119	74	reference	reference	NOUN
esrj-113518	119	75	methods	method	NOUN
esrj-113518	119	76	(	(	PUNCT
esrj-113518	119	77	khan	khan	PROPN
esrj-113518	119	78	,	,	PUNCT
esrj-113518	119	79	alarabi	alarabi	PROPN
esrj-113518	119	80	,	,	PUNCT
esrj-113518	119	81	&	&	CCONJ
esrj-113518	119	82	basalamah	basalamah	PROPN
esrj-113518	119	83	,	,	PUNCT
esrj-113518	119	84	2023a	2023a	NUM
esrj-113518	119	85	)	)	PUNCT
esrj-113518	119	86	.	.	PUNCT
esrj-113518	120	1	3	3	NUM
esrj-113518	120	2	methodology	methodology	NOUN
esrj-113518	120	3	the	the	DET
esrj-113518	120	4	proposed	propose	VERB
esrj-113518	120	5	research	research	NOUN
esrj-113518	120	6	aims	aim	VERB
esrj-113518	120	7	to	to	PART
esrj-113518	120	8	find	find	VERB
esrj-113518	120	9	out	out	ADP
esrj-113518	120	10	the	the	DET
esrj-113518	120	11	appropriate	appropriate	ADJ
esrj-113518	120	12	cnn	cnn	PROPN
esrj-113518	120	13	models	model	NOUN
esrj-113518	120	14	best	well	ADV
esrj-113518	120	15	classifies	classify	VERB
esrj-113518	120	16	the	the	DET
esrj-113518	120	17	remote	remote	ADJ
esrj-113518	120	18	sensing	sense	VERB
esrj-113518	120	19	datasets	dataset	NOUN
esrj-113518	120	20	after	after	ADP
esrj-113518	120	21	fine	fine	ADJ
esrj-113518	120	22	turning	turning	NOUN
esrj-113518	120	23	of	of	ADP
esrj-113518	120	24	hyper	hyper	ADJ
esrj-113518	120	25	parameters	parameter	NOUN
esrj-113518	120	26	and	and	CCONJ
esrj-113518	120	27	network	network	NOUN
esrj-113518	120	28	surgery	surgery	NOUN
esrj-113518	120	29	.	.	PUNCT
esrj-113518	121	1	to	to	PART
esrj-113518	121	2	get	get	VERB
esrj-113518	121	3	the	the	DET
esrj-113518	121	4	desire	desire	NOUN
esrj-113518	121	5	results	result	VERB
esrj-113518	121	6	four	four	NUM
esrj-113518	121	7	base	base	NOUN
esrj-113518	121	8	cnn	cnn	PROPN
esrj-113518	121	9	models	model	NOUN
esrj-113518	121	10	(	(	PUNCT
esrj-113518	121	11	alex	alex	PROPN
esrj-113518	121	12	net	net	PROPN
esrj-113518	121	13	,	,	PUNCT
esrj-113518	121	14	vgg16	vgg16	PROPN
esrj-113518	121	15	,	,	PUNCT
esrj-113518	121	16	resnet50	resnet50	NOUN
esrj-113518	121	17	and	and	CCONJ
esrj-113518	121	18	efficient	efficient	ADJ
esrj-113518	121	19	-	-	PUNCT
esrj-113518	121	20	net	net	NOUN
esrj-113518	121	21	-	-	PUNCT
esrj-113518	121	22	b0	b0	NOUN
esrj-113518	121	23	)	)	PUNCT
esrj-113518	121	24	were	be	AUX
esrj-113518	121	25	used	use	VERB
esrj-113518	121	26	.	.	PUNCT
esrj-113518	122	1	different	different	ADJ
esrj-113518	122	2	models	model	NOUN
esrj-113518	122	3	have	have	AUX
esrj-113518	122	4	been	be	AUX
esrj-113518	122	5	selected	select	VERB
esrj-113518	122	6	starting	start	VERB
esrj-113518	122	7	from	from	ADP
esrj-113518	122	8	the	the	DET
esrj-113518	122	9	ones	one	NOUN
esrj-113518	122	10	that	that	PRON
esrj-113518	122	11	are	be	AUX
esrj-113518	122	12	published	publish	VERB
esrj-113518	122	13	earliest	early	ADJ
esrj-113518	122	14	to	to	ADP
esrj-113518	122	15	the	the	DET
esrj-113518	122	16	models	model	NOUN
esrj-113518	122	17	published	publish	VERB
esrj-113518	122	18	in	in	ADP
esrj-113518	122	19	latest	late	ADJ
esrj-113518	122	20	researches	research	NOUN
esrj-113518	122	21	.	.	PUNCT
esrj-113518	123	1	alex	alex	PROPN
esrj-113518	123	2	net	net	PROPN
esrj-113518	123	3	and	and	CCONJ
esrj-113518	123	4	vgg16	vgg16	NOUN
esrj-113518	123	5	are	be	AUX
esrj-113518	123	6	the	the	DET
esrj-113518	123	7	models	model	NOUN
esrj-113518	123	8	having	have	VERB
esrj-113518	123	9	lesser	less	ADJ
esrj-113518	123	10	parameters	parameter	NOUN
esrj-113518	123	11	and	and	CCONJ
esrj-113518	123	12	require	require	VERB
esrj-113518	123	13	less	less	ADJ
esrj-113518	123	14	resources	resource	NOUN
esrj-113518	123	15	for	for	ADP
esrj-113518	123	16	computation	computation	NOUN
esrj-113518	123	17	.	.	PUNCT
esrj-113518	124	1	resnet50	resnet50	NOUN
esrj-113518	124	2	is	be	AUX
esrj-113518	124	3	a	a	DET
esrj-113518	124	4	type	type	NOUN
esrj-113518	124	5	of	of	ADP
esrj-113518	124	6	model	model	NOUN
esrj-113518	124	7	that	that	PRON
esrj-113518	124	8	works	work	VERB
esrj-113518	124	9	on	on	ADP
esrj-113518	124	10	skip	skip	ADJ
esrj-113518	124	11	connections	connection	NOUN
esrj-113518	124	12	and	and	CCONJ
esrj-113518	124	13	relatively	relatively	ADV
esrj-113518	124	14	deeper	deep	ADJ
esrj-113518	124	15	model	model	NOUN
esrj-113518	124	16	as	as	ADP
esrj-113518	124	17	compared	compare	VERB
esrj-113518	124	18	to	to	ADP
esrj-113518	124	19	alex	alex	PROPN
esrj-113518	124	20	net	net	PROPN
esrj-113518	124	21	and	and	CCONJ
esrj-113518	124	22	vgg	vgg	NOUN
esrj-113518	124	23	16	16	NUM
esrj-113518	124	24	.	.	PUNCT
esrj-113518	125	1	the	the	DET
esrj-113518	125	2	final	final	ADJ
esrj-113518	125	3	model	model	NOUN
esrj-113518	125	4	used	use	VERB
esrj-113518	125	5	for	for	ADP
esrj-113518	125	6	experimentation	experimentation	NOUN
esrj-113518	125	7	is	be	AUX
esrj-113518	125	8	efficient	efficient	ADJ
esrj-113518	125	9	-	-	PUNCT
esrj-113518	125	10	net	net	NOUN
esrj-113518	125	11	-	-	PUNCT
esrj-113518	125	12	b0	b0	NOUN
esrj-113518	125	13	,	,	PUNCT
esrj-113518	125	14	which	which	PRON
esrj-113518	125	15	has	have	VERB
esrj-113518	125	16	290	290	NUM
esrj-113518	125	17	layers	layer	NOUN
esrj-113518	125	18	and	and	CCONJ
esrj-113518	125	19	considered	consider	VERB
esrj-113518	125	20	to	to	PART
esrj-113518	125	21	be	be	AUX
esrj-113518	125	22	a	a	DET
esrj-113518	125	23	deeper	deep	ADJ
esrj-113518	125	24	model	model	NOUN
esrj-113518	125	25	.	.	PUNCT
esrj-113518	126	1	two	two	NUM
esrj-113518	126	2	problems	problem	NOUN
esrj-113518	126	3	are	be	AUX
esrj-113518	126	4	mainly	mainly	ADV
esrj-113518	126	5	in	in	ADP
esrj-113518	126	6	focus	focus	NOUN
esrj-113518	126	7	:	:	PUNCT
esrj-113518	127	1	1	1	X
esrj-113518	127	2	.	.	X
esrj-113518	127	3	the	the	DET
esrj-113518	127	4	available	available	ADJ
esrj-113518	127	5	datasets	dataset	NOUN
esrj-113518	127	6	for	for	ADP
esrj-113518	127	7	remote	remote	ADJ
esrj-113518	127	8	imaging	imaging	NOUN
esrj-113518	127	9	are	be	AUX
esrj-113518	127	10	relatively	relatively	ADV
esrj-113518	127	11	smaller	small	ADJ
esrj-113518	127	12	in	in	ADP
esrj-113518	127	13	size	size	NOUN
esrj-113518	127	14	as	as	ADP
esrj-113518	127	15	compared	compare	VERB
esrj-113518	127	16	to	to	ADP
esrj-113518	127	17	other	other	ADJ
esrj-113518	127	18	image	image	NOUN
esrj-113518	127	19	datasets	dataset	NOUN
esrj-113518	127	20	.	.	PUNCT
esrj-113518	128	1	2	2	X
esrj-113518	128	2	.	.	NOUN
esrj-113518	128	3	high	high	ADJ
esrj-113518	128	4	performance	performance	NOUN
esrj-113518	128	5	systems	system	NOUN
esrj-113518	128	6	are	be	AUX
esrj-113518	128	7	required	require	VERB
esrj-113518	128	8	to	to	PART
esrj-113518	128	9	process	process	VERB
esrj-113518	128	10	deeper	deep	ADJ
esrj-113518	128	11	models	model	NOUN
esrj-113518	128	12	.	.	PUNCT
esrj-113518	129	1	to	to	PART
esrj-113518	129	2	find	find	VERB
esrj-113518	129	3	the	the	DET
esrj-113518	129	4	best	well	ADV
esrj-113518	129	5	suited	suited	ADJ
esrj-113518	129	6	cnn	cnn	PROPN
esrj-113518	129	7	models	model	NOUN
esrj-113518	129	8	for	for	ADP
esrj-113518	129	9	remote	remote	ADJ
esrj-113518	129	10	sensing	sense	VERB
esrj-113518	129	11	image	image	NOUN
esrj-113518	129	12	classification	classification	NOUN
esrj-113518	129	13	that	that	PRON
esrj-113518	129	14	works	work	VERB
esrj-113518	129	15	well	well	ADV
esrj-113518	129	16	for	for	ADP
esrj-113518	129	17	smaller	small	ADJ
esrj-113518	129	18	data	datum	NOUN
esrj-113518	129	19	sets	set	NOUN
esrj-113518	129	20	using	use	VERB
esrj-113518	129	21	lesser	less	ADJ
esrj-113518	129	22	resources	resource	NOUN
esrj-113518	129	23	.	.	PUNCT
esrj-113518	130	1	to	to	PART
esrj-113518	130	2	overcome	overcome	VERB
esrj-113518	130	3	these	these	DET
esrj-113518	130	4	problems	problem	NOUN
esrj-113518	130	5	our	our	PRON
esrj-113518	130	6	focus	focus	NOUN
esrj-113518	130	7	is	be	AUX
esrj-113518	130	8	to	to	PART
esrj-113518	130	9	find	find	VERB
esrj-113518	130	10	the	the	DET
esrj-113518	130	11	model	model	NOUN
esrj-113518	130	12	that	that	PRON
esrj-113518	130	13	has	have	VERB
esrj-113518	130	14	lesser	less	ADJ
esrj-113518	130	15	parameters	parameter	NOUN
esrj-113518	130	16	and	and	CCONJ
esrj-113518	130	17	can	can	AUX
esrj-113518	130	18	perform	perform	VERB
esrj-113518	130	19	well	well	ADV
esrj-113518	130	20	with	with	ADP
esrj-113518	130	21	lesser	less	ADJ
esrj-113518	130	22	data	datum	NOUN
esrj-113518	130	23	with	with	ADP
esrj-113518	130	24	epochs	epoch	NOUN
esrj-113518	130	25	not	not	PART
esrj-113518	130	26	more	more	ADJ
esrj-113518	130	27	than	than	ADP
esrj-113518	130	28	30	30	NUM
esrj-113518	130	29	.	.	PUNCT
esrj-113518	131	1	remote	remote	ADJ
esrj-113518	131	2	sensing	sensing	NOUN
esrj-113518	131	3	is	be	AUX
esrj-113518	131	4	also	also	ADV
esrj-113518	131	5	very	very	ADV
esrj-113518	131	6	useful	useful	ADJ
esrj-113518	131	7	for	for	ADP
esrj-113518	131	8	disaster	disaster	NOUN
esrj-113518	131	9	management	management	NOUN
esrj-113518	131	10	.	.	PUNCT
esrj-113518	132	1	one	one	NUM
esrj-113518	132	2	data	datum	NOUN
esrj-113518	132	3	set	set	VERB
esrj-113518	132	4	that	that	PRON
esrj-113518	132	5	contains	contain	VERB
esrj-113518	132	6	images	image	NOUN
esrj-113518	132	7	from	from	ADP
esrj-113518	132	8	disasters	disaster	NOUN
esrj-113518	132	9	was	be	AUX
esrj-113518	132	10	selected	select	VERB
esrj-113518	132	11	and	and	CCONJ
esrj-113518	132	12	other	other	ADJ
esrj-113518	132	13	data	datum	NOUN
esrj-113518	132	14	set	set	VERB
esrj-113518	132	15	contains	contain	VERB
esrj-113518	132	16	normal	normal	ADJ
esrj-113518	132	17	aerial	aerial	ADJ
esrj-113518	132	18	images	image	NOUN
esrj-113518	132	19	.	.	PUNCT
esrj-113518	133	1	the	the	DET
esrj-113518	133	2	general	general	ADJ
esrj-113518	133	3	methodology	methodology	NOUN
esrj-113518	133	4	was	be	AUX
esrj-113518	133	5	kept	keep	VERB
esrj-113518	133	6	same	same	ADJ
esrj-113518	133	7	for	for	ADP
esrj-113518	133	8	all	all	DET
esrj-113518	133	9	the	the	DET
esrj-113518	133	10	four	four	NUM
esrj-113518	133	11	models	model	NOUN
esrj-113518	133	12	,	,	PUNCT
esrj-113518	133	13	starting	start	VERB
esrj-113518	133	14	from	from	ADP
esrj-113518	133	15	transfer	transfer	NOUN
esrj-113518	133	16	learning	learning	NOUN
esrj-113518	133	17	of	of	ADP
esrj-113518	133	18	models	model	NOUN
esrj-113518	133	19	to	to	ADP
esrj-113518	133	20	performing	perform	VERB
esrj-113518	133	21	network	network	NOUN
esrj-113518	133	22	surgery	surgery	NOUN
esrj-113518	133	23	of	of	ADP
esrj-113518	133	24	the	the	DET
esrj-113518	133	25	last	last	ADJ
esrj-113518	133	26	three	three	NUM
esrj-113518	133	27	layers	layer	NOUN
esrj-113518	133	28	and	and	CCONJ
esrj-113518	133	29	tuning	tuning	NOUN
esrj-113518	133	30	of	of	ADP
esrj-113518	133	31	hyper	hyper	ADJ
esrj-113518	133	32	parameter	parameter	NOUN
esrj-113518	133	33	.	.	PUNCT
esrj-113518	134	1	the	the	DET
esrj-113518	134	2	figure	figure	NOUN
esrj-113518	134	3	2	2	NUM
esrj-113518	134	4	shows	show	VERB
esrj-113518	134	5	the	the	DET
esrj-113518	134	6	process	process	NOUN
esrj-113518	134	7	.	.	PUNCT
esrj-113518	135	1	base	base	PROPN
esrj-113518	135	2	alex	alex	PROPN
esrj-113518	135	3	net	net	PROPN
esrj-113518	135	4	is	be	AUX
esrj-113518	135	5	the	the	DET
esrj-113518	135	6	basic	basic	ADJ
esrj-113518	135	7	cnn	cnn	PROPN
esrj-113518	135	8	model	model	NOUN
esrj-113518	135	9	having	have	VERB
esrj-113518	135	10	8	8	NUM
esrj-113518	135	11	layers	layer	NOUN
esrj-113518	135	12	and	and	CCONJ
esrj-113518	135	13	has	have	VERB
esrj-113518	135	14	11x11	11x11	NUM
esrj-113518	135	15	,	,	PUNCT
esrj-113518	135	16	5x5	5x5	NUM
esrj-113518	135	17	,	,	PUNCT
esrj-113518	135	18	3x3	3x3	NUM
esrj-113518	135	19	,	,	PUNCT
esrj-113518	135	20	convolutions	convolution	NOUN
esrj-113518	135	21	,	,	PUNCT
esrj-113518	135	22	max	max	PROPN
esrj-113518	135	23	pooling	pooling	NOUN
esrj-113518	135	24	,	,	PUNCT
esrj-113518	135	25	dropout	dropout	NOUN
esrj-113518	135	26	,	,	PUNCT
esrj-113518	135	27	data	datum	NOUN
esrj-113518	135	28	augmentation	augmentation	NOUN
esrj-113518	135	29	,	,	PUNCT
esrj-113518	135	30	relu	relu	NOUN
esrj-113518	135	31	activation	activation	NOUN
esrj-113518	135	32	,	,	PUNCT
esrj-113518	135	33	sgd	sgd	X
esrj-113518	135	34	with	with	ADP
esrj-113518	135	35	momentum	momentum	NOUN
esrj-113518	135	36	.	.	PUNCT
esrj-113518	136	1	relu	relu	NOUN
esrj-113518	136	2	activation	activation	NOUN
esrj-113518	136	3	function	function	NOUN
esrj-113518	136	4	is	be	AUX
esrj-113518	136	5	attached	attach	VERB
esrj-113518	136	6	after	after	ADP
esrj-113518	136	7	every	every	DET
esrj-113518	136	8	convolutional	convolutional	ADJ
esrj-113518	136	9	and	and	CCONJ
esrj-113518	136	10	fully	fully	ADV
esrj-113518	136	11	-	-	PUNCT
esrj-113518	136	12	connected	connect	VERB
esrj-113518	136	13	layer	layer	NOUN
esrj-113518	136	14	.	.	PUNCT
esrj-113518	137	1	pre	pre	VERB
esrj-113518	137	2	-	-	ADJ
esrj-113518	137	3	trained	train	VERB
esrj-113518	137	4	alex	alex	PROPN
esrj-113518	137	5	-	-	PUNCT
esrj-113518	137	6	net	net	NOUN
esrj-113518	137	7	model	model	NOUN
esrj-113518	137	8	was	be	AUX
esrj-113518	137	9	used	use	VERB
esrj-113518	137	10	that	that	PRON
esrj-113518	137	11	was	be	AUX
esrj-113518	137	12	initially	initially	ADV
esrj-113518	137	13	trained	train	VERB
esrj-113518	137	14	on	on	ADP
esrj-113518	137	15	imagenet	imagenet	NOUN
esrj-113518	137	16	dataset	dataset	NOUN
esrj-113518	137	17	having	have	VERB
esrj-113518	137	18	1.2	1.2	NUM
esrj-113518	137	19	million	million	NUM
esrj-113518	137	20	images	image	NOUN
esrj-113518	137	21	.	.	PUNCT
esrj-113518	138	1	features	feature	NOUN
esrj-113518	138	2	and	and	CCONJ
esrj-113518	138	3	weights	weight	NOUN
esrj-113518	138	4	are	be	AUX
esrj-113518	138	5	transferred	transfer	VERB
esrj-113518	138	6	from	from	ADP
esrj-113518	138	7	that	that	DET
esrj-113518	138	8	pre	pre	VERB
esrj-113518	138	9	-	-	VERB
esrj-113518	138	10	trained	train	VERB
esrj-113518	138	11	to	to	PART
esrj-113518	138	12	get	get	VERB
esrj-113518	138	13	better	well	ADJ
esrj-113518	138	14	accuracy	accuracy	NOUN
esrj-113518	138	15	using	use	VERB
esrj-113518	138	16	less	less	ADJ
esrj-113518	138	17	epochs	epoch	NOUN
esrj-113518	138	18	.	.	PUNCT
esrj-113518	139	1	same	same	ADJ
esrj-113518	139	2	process	process	NOUN
esrj-113518	139	3	is	be	AUX
esrj-113518	139	4	followed	follow	VERB
esrj-113518	139	5	for	for	ADP
esrj-113518	139	6	vgg16	vgg16	NOUN
esrj-113518	139	7	for	for	ADP
esrj-113518	139	8	our	our	PRON
esrj-113518	139	9	desired	desire	VERB
esrj-113518	139	10	problem	problem	NOUN
esrj-113518	139	11	by	by	ADP
esrj-113518	139	12	performing	perform	VERB
esrj-113518	139	13	network	network	NOUN
esrj-113518	139	14	surgery	surgery	NOUN
esrj-113518	139	15	on	on	ADP
esrj-113518	139	16	the	the	DET
esrj-113518	139	17	last	last	ADJ
esrj-113518	139	18	three	three	NUM
esrj-113518	139	19	layers	layer	NOUN
esrj-113518	139	20	.	.	PUNCT
esrj-113518	140	1	fc1000	fc1000	PROPN
esrj-113518	140	2	,	,	PUNCT
esrj-113518	140	3	softmax	softmax	NOUN
esrj-113518	140	4	layer	layer	NOUN
esrj-113518	140	5	and	and	CCONJ
esrj-113518	140	6	classification	classification	NOUN
esrj-113518	140	7	layer	layer	NOUN
esrj-113518	140	8	are	be	AUX
esrj-113518	140	9	removed	remove	VERB
esrj-113518	140	10	from	from	ADP
esrj-113518	140	11	both	both	DET
esrj-113518	140	12	base	base	NOUN
esrj-113518	140	13	models	model	NOUN
esrj-113518	140	14	and	and	CCONJ
esrj-113518	140	15	three	three	NUM
esrj-113518	140	16	new	new	ADJ
esrj-113518	140	17	layers	layer	NOUN
esrj-113518	140	18	:	:	PUNCT
esrj-113518	140	19	fully	fully	ADV
esrj-113518	140	20	connected	connected	ADJ
esrj-113518	140	21	layer	layer	NOUN
esrj-113518	140	22	where	where	SCONJ
esrj-113518	140	23	bias	bias	NOUN
esrj-113518	140	24	and	and	CCONJ
esrj-113518	140	25	weight	weight	NOUN
esrj-113518	140	26	values	value	NOUN
esrj-113518	140	27	are	be	AUX
esrj-113518	140	28	adjusted	adjust	VERB
esrj-113518	140	29	as	as	ADP
esrj-113518	140	30	20	20	NUM
esrj-113518	140	31	,	,	PUNCT
esrj-113518	140	32	softmax	softmax	NOUN
esrj-113518	140	33	layer	layer	NOUN
esrj-113518	140	34	and	and	CCONJ
esrj-113518	140	35	classification	classification	NOUN
esrj-113518	140	36	layers	layer	NOUN
esrj-113518	140	37	are	be	AUX
esrj-113518	140	38	attached	attach	VERB
esrj-113518	140	39	to	to	ADP
esrj-113518	140	40	the	the	DET
esrj-113518	140	41	base	base	NOUN
esrj-113518	140	42	model	model	NOUN
esrj-113518	140	43	,	,	PUNCT
esrj-113518	140	44	for	for	ADP
esrj-113518	140	45	alexnet	alexnet	NOUN
esrj-113518	140	46	the	the	DET
esrj-113518	140	47	layers	layer	NOUN
esrj-113518	140	48	are	be	AUX
esrj-113518	140	49	attached	attach	VERB
esrj-113518	140	50	at	at	ADP
esrj-113518	140	51	2nd	2nd	PROPN
esrj-113518	140	52	last	last	ADJ
esrj-113518	140	53	fully	fully	ADV
esrj-113518	140	54	connected	connect	VERB
esrj-113518	140	55	layer	layer	NOUN
esrj-113518	140	56	whereas	whereas	SCONJ
esrj-113518	140	57	,	,	PUNCT
esrj-113518	140	58	for	for	ADP
esrj-113518	140	59	vgg	vgg	PROPN
esrj-113518	140	60	16	16	NUM
esrj-113518	140	61	the	the	DET
esrj-113518	140	62	three	three	NUM
esrj-113518	140	63	new	new	ADJ
esrj-113518	140	64	layers	layer	NOUN
esrj-113518	140	65	are	be	AUX
esrj-113518	140	66	attached	attach	VERB
esrj-113518	140	67	at	at	ADP
esrj-113518	140	68	last	last	ADJ
esrj-113518	140	69	dropout	dropout	NOUN
esrj-113518	140	70	layer	layer	NOUN
esrj-113518	140	71	.	.	PUNCT
esrj-113518	141	1	learning	learn	VERB
esrj-113518	141	2	rate	rate	NOUN
esrj-113518	141	3	is	be	AUX
esrj-113518	141	4	the	the	DET
esrj-113518	141	5	most	most	ADV
esrj-113518	141	6	important	important	ADJ
esrj-113518	141	7	hyper	hyper	ADJ
esrj-113518	141	8	parameter	parameter	NOUN
esrj-113518	141	9	.	.	PUNCT
esrj-113518	142	1	here	here	ADV
esrj-113518	142	2	in	in	ADP
esrj-113518	142	3	this	this	DET
esrj-113518	142	4	case	case	NOUN
esrj-113518	142	5	piece	piece	NOUN
esrj-113518	142	6	-	-	PUNCT
esrj-113518	142	7	wise	wise	ADJ
esrj-113518	142	8	learning	learning	NOUN
esrj-113518	142	9	rate	rate	NOUN
esrj-113518	142	10	scheduler	scheduler	NOUN
esrj-113518	142	11	is	be	AUX
esrj-113518	142	12	used	use	VERB
esrj-113518	142	13	where	where	SCONJ
esrj-113518	142	14	initial	initial	ADJ
esrj-113518	142	15	learning	learning	NOUN
esrj-113518	142	16	rate	rate	NOUN
esrj-113518	142	17	is	be	AUX
esrj-113518	142	18	set	set	VERB
esrj-113518	142	19	to	to	ADP
esrj-113518	142	20	0.0001	0.0001	NUM
esrj-113518	142	21	,	,	PUNCT
esrj-113518	142	22	with	with	ADP
esrj-113518	142	23	drop	drop	NOUN
esrj-113518	142	24	factor	factor	NOUN
esrj-113518	142	25	of	of	ADP
esrj-113518	142	26	0.1	0.1	NUM
esrj-113518	142	27	.	.	PUNCT
esrj-113518	143	1	the	the	DET
esrj-113518	143	2	third	third	ADJ
esrj-113518	143	3	model	model	NOUN
esrj-113518	143	4	used	use	VERB
esrj-113518	143	5	for	for	ADP
esrj-113518	143	6	the	the	DET
esrj-113518	143	7	experimentation	experimentation	NOUN
esrj-113518	143	8	is	be	AUX
esrj-113518	143	9	resnet	resnet	ADJ
esrj-113518	143	10	50	50	NUM
esrj-113518	143	11	.	.	PUNCT
esrj-113518	144	1	resnet	resnet	NOUN
esrj-113518	144	2	50	50	NUM
esrj-113518	144	3	is	be	AUX
esrj-113518	144	4	the	the	DET
esrj-113518	144	5	short	short	ADJ
esrj-113518	144	6	form	form	NOUN
esrj-113518	144	7	of	of	ADP
esrj-113518	144	8	residual	residual	ADJ
esrj-113518	144	9	network	network	NOUN
esrj-113518	144	10	that	that	PRON
esrj-113518	144	11	has	have	VERB
esrj-113518	144	12	50	50	NUM
esrj-113518	144	13	deep	deep	ADJ
esrj-113518	144	14	layers	layer	NOUN
esrj-113518	144	15	.	.	PUNCT
esrj-113518	145	1	there	there	PRON
esrj-113518	145	2	is	be	VERB
esrj-113518	145	3	a	a	DET
esrj-113518	145	4	concept	concept	NOUN
esrj-113518	145	5	in	in	ADP
esrj-113518	145	6	literature	literature	NOUN
esrj-113518	145	7	that	that	PRON
esrj-113518	145	8	says	say	VERB
esrj-113518	145	9	“	"	PUNCT
esrj-113518	145	10	deeper	deeply	ADV
esrj-113518	145	11	the	the	DET
esrj-113518	145	12	network	network	NOUN
esrj-113518	145	13	better	well	ADV
esrj-113518	145	14	the	the	DET
esrj-113518	145	15	accuracy	accuracy	NOUN
esrj-113518	145	16	”	"	PUNCT
esrj-113518	145	17	.	.	PUNCT
esrj-113518	146	1	to	to	PART
esrj-113518	146	2	check	check	VERB
esrj-113518	146	3	this	this	PRON
esrj-113518	146	4	,	,	PUNCT
esrj-113518	146	5	we	we	PRON
esrj-113518	146	6	performed	perform	VERB
esrj-113518	146	7	our	our	PRON
esrj-113518	146	8	experimentation	experimentation	NOUN
esrj-113518	146	9	on	on	ADP
esrj-113518	146	10	four	four	NUM
esrj-113518	146	11	different	different	ADJ
esrj-113518	146	12	categories	category	NOUN
esrj-113518	146	13	of	of	ADP
esrj-113518	146	14	deep	deep	ADJ
esrj-113518	146	15	network	network	NOUN
esrj-113518	146	16	to	to	PART
esrj-113518	146	17	overcome	overcome	VERB
esrj-113518	146	18	the	the	DET
esrj-113518	146	19	issue	issue	NOUN
esrj-113518	146	20	of	of	ADP
esrj-113518	146	21	deep	deep	ADJ
esrj-113518	146	22	neural	neural	ADJ
esrj-113518	146	23	networks	network	NOUN
esrj-113518	146	24	like	like	ADP
esrj-113518	146	25	vanishing	vanish	VERB
esrj-113518	146	26	gradient	gradient	ADJ
esrj-113518	146	27	decent	decent	ADJ
esrj-113518	146	28	that	that	PRON
esrj-113518	146	29	occurs	occur	VERB
esrj-113518	146	30	when	when	SCONJ
esrj-113518	146	31	the	the	DET
esrj-113518	146	32	learning	learning	NOUN
esrj-113518	146	33	rate	rate	NOUN
esrj-113518	146	34	drops	drop	NOUN
esrj-113518	146	35	to	to	ADP
esrj-113518	146	36	zero	zero	NUM
esrj-113518	146	37	while	while	SCONJ
esrj-113518	146	38	moving	move	VERB
esrj-113518	146	39	deeper	deeply	ADV
esrj-113518	146	40	down	down	ADP
esrj-113518	146	41	the	the	DET
esrj-113518	146	42	layers	layer	NOUN
esrj-113518	146	43	,	,	PUNCT
esrj-113518	146	44	we	we	PRON
esrj-113518	146	45	have	have	AUX
esrj-113518	146	46	decided	decide	VERB
esrj-113518	146	47	to	to	PART
esrj-113518	146	48	perform	perform	VERB
esrj-113518	146	49	fine	fine	ADJ
esrj-113518	146	50	tuning	tuning	NOUN
esrj-113518	146	51	of	of	ADP
esrj-113518	146	52	pre	pre	ADJ
esrj-113518	146	53	-	-	ADJ
esrj-113518	146	54	trained	train	VERB
esrj-113518	146	55	networks	network	NOUN
esrj-113518	146	56	.	.	PUNCT
esrj-113518	147	1	same	same	ADJ
esrj-113518	147	2	process	process	NOUN
esrj-113518	147	3	is	be	AUX
esrj-113518	147	4	followed	follow	VERB
esrj-113518	147	5	on	on	ADP
esrj-113518	147	6	resnet	resnet	NOUN
esrj-113518	147	7	50	50	NUM
esrj-113518	147	8	,	,	PUNCT
esrj-113518	147	9	we	we	PRON
esrj-113518	147	10	have	have	AUX
esrj-113518	147	11	taken	take	VERB
esrj-113518	147	12	pre	pre	ADJ
esrj-113518	147	13	-	-	ADJ
esrj-113518	147	14	trained	train	VERB
esrj-113518	147	15	model	model	NOUN
esrj-113518	147	16	and	and	CCONJ
esrj-113518	147	17	by	by	ADP
esrj-113518	147	18	fine	fine	ADJ
esrj-113518	147	19	tuning	tuning	NOUN
esrj-113518	147	20	of	of	ADP
esrj-113518	147	21	hyper	hyper	ADJ
esrj-113518	147	22	parameters	parameter	NOUN
esrj-113518	147	23	we	we	PRON
esrj-113518	147	24	have	have	AUX
esrj-113518	147	25	achieved	achieve	VERB
esrj-113518	147	26	better	well	ADJ
esrj-113518	147	27	accuracy	accuracy	NOUN
esrj-113518	147	28	.	.	PUNCT
esrj-113518	148	1	resnet	resnet	VERB
esrj-113518	148	2	50	50	NUM
esrj-113518	148	3	works	work	NOUN
esrj-113518	148	4	on	on	ADP
esrj-113518	148	5	the	the	DET
esrj-113518	148	6	principal	principal	NOUN
esrj-113518	148	7	of	of	ADP
esrj-113518	148	8	skip	skip	ADJ
esrj-113518	148	9	connections	connection	NOUN
esrj-113518	148	10	which	which	PRON
esrj-113518	148	11	was	be	AUX
esrj-113518	148	12	kept	keep	VERB
esrj-113518	148	13	same	same	ADJ
esrj-113518	148	14	during	during	ADP
esrj-113518	148	15	experimentation	experimentation	NOUN
esrj-113518	148	16	.	.	PUNCT
esrj-113518	149	1	the	the	DET
esrj-113518	149	2	figure	figure	NOUN
esrj-113518	149	3	1	1	NUM
esrj-113518	149	4	shows	show	VERB
esrj-113518	149	5	the	the	DET
esrj-113518	149	6	whole	whole	ADJ
esrj-113518	149	7	process	process	NOUN
esrj-113518	149	8	of	of	ADP
esrj-113518	149	9	transfer	transfer	NOUN
esrj-113518	149	10	learning	learning	NOUN
esrj-113518	149	11	of	of	ADP
esrj-113518	149	12	initial	initial	ADJ
esrj-113518	149	13	layers	layer	NOUN
esrj-113518	149	14	,	,	PUNCT
esrj-113518	149	15	moving	move	VERB
esrj-113518	149	16	towards	towards	ADP
esrj-113518	149	17	the	the	DET
esrj-113518	149	18	fine	fine	ADJ
esrj-113518	149	19	tuning	tuning	NOUN
esrj-113518	149	20	of	of	ADP
esrj-113518	149	21	fully	fully	ADV
esrj-113518	149	22	connected	connected	ADJ
esrj-113518	149	23	layers	layer	NOUN
esrj-113518	149	24	and	and	CCONJ
esrj-113518	149	25	adjusting	adjust	VERB
esrj-113518	149	26	weight	weight	NOUN
esrj-113518	149	27	and	and	CCONJ
esrj-113518	149	28	bias	bias	NOUN
esrj-113518	149	29	learning	learn	VERB
esrj-113518	149	30	factor	factor	NOUN
esrj-113518	149	31	as	as	ADP
esrj-113518	149	32	20	20	NUM
esrj-113518	149	33	that	that	PRON
esrj-113518	149	34	is	be	AUX
esrj-113518	149	35	attached	attach	VERB
esrj-113518	149	36	to	to	PART
esrj-113518	149	37	average	average	ADJ
esrj-113518	149	38	pooling	pool	VERB
esrj-113518	149	39	layer	layer	NOUN
esrj-113518	149	40	.	.	PUNCT
esrj-113518	150	1	the	the	DET
esrj-113518	150	2	resnet	resnet	NOUN
esrj-113518	150	3	50	50	NUM
esrj-113518	150	4	was	be	AUX
esrj-113518	150	5	pre	pre	VERB
esrj-113518	150	6	-	-	VERB
esrj-113518	150	7	trained	train	VERB
esrj-113518	150	8	on	on	ADP
esrj-113518	150	9	image	image	NOUN
esrj-113518	150	10	net	net	NOUN
esrj-113518	150	11	that	that	PRON
esrj-113518	150	12	has	have	VERB
esrj-113518	150	13	1.2	1.2	NUM
esrj-113518	150	14	million	million	NUM
esrj-113518	150	15	images	image	NOUN
esrj-113518	150	16	.	.	PUNCT
esrj-113518	151	1	412	412	NUM
esrj-113518	151	2	maryam	maryam	PROPN
esrj-113518	151	3	mehmood	mehmood	PROPN
esrj-113518	151	4	,	,	PUNCT
esrj-113518	151	5	farhan	farhan	PROPN
esrj-113518	151	6	hussain	hussain	PROPN
esrj-113518	151	7	,	,	PUNCT
esrj-113518	151	8	ahsan	ahsan	PROPN
esrj-113518	151	9	shahzad	shahzad	PROPN
esrj-113518	151	10	,	,	PUNCT
esrj-113518	151	11	nouman	nouman	PROPN
esrj-113518	151	12	ali	ali	PROPN
esrj-113518	151	13	figure	figure	PROPN
esrj-113518	151	14	1	1	NUM
esrj-113518	151	15	.	.	PUNCT
esrj-113518	151	16	proposed	propose	VERB
esrj-113518	151	17	resnet50	resnet50	NOUN
esrj-113518	151	18	model	model	NOUN
esrj-113518	151	19	used	use	VERB
esrj-113518	151	20	for	for	ADP
esrj-113518	151	21	experimentation	experimentation	NOUN
esrj-113518	151	22	after	after	ADP
esrj-113518	151	23	performing	perform	VERB
esrj-113518	151	24	fine	fine	ADJ
esrj-113518	151	25	tuning	tuning	NOUN
esrj-113518	151	26	and	and	CCONJ
esrj-113518	151	27	network	network	NOUN
esrj-113518	151	28	surgery	surgery	NOUN
esrj-113518	151	29	figure	figure	NOUN
esrj-113518	151	30	2	2	NUM
esrj-113518	151	31	.	.	PUNCT
esrj-113518	151	32	methodology	methodology	NOUN
esrj-113518	151	33	413classification	413classification	PROPN
esrj-113518	151	34	of	of	ADP
esrj-113518	151	35	remote	remote	ADJ
esrj-113518	151	36	sensing	sense	VERB
esrj-113518	151	37	datasets	dataset	NOUN
esrj-113518	151	38	with	with	ADP
esrj-113518	151	39	different	different	ADJ
esrj-113518	151	40	deep	deep	ADJ
esrj-113518	151	41	learning	learning	NOUN
esrj-113518	151	42	architectures	architecture	NOUN
esrj-113518	151	43	the	the	DET
esrj-113518	151	44	fourth	fourth	ADJ
esrj-113518	151	45	model	model	NOUN
esrj-113518	151	46	used	use	VERB
esrj-113518	151	47	for	for	ADP
esrj-113518	151	48	experimentation	experimentation	NOUN
esrj-113518	151	49	is	be	AUX
esrj-113518	151	50	efficient	efficient	ADJ
esrj-113518	151	51	-	-	PUNCT
esrj-113518	151	52	net	net	ADJ
esrj-113518	151	53	bo	bo	NOUN
esrj-113518	151	54	that	that	PRON
esrj-113518	151	55	is	be	AUX
esrj-113518	151	56	290	290	NUM
esrj-113518	151	57	layers	layer	NOUN
esrj-113518	151	58	deeper	deep	ADJ
esrj-113518	151	59	.	.	PUNCT
esrj-113518	152	1	network	network	NOUN
esrj-113518	152	2	surgery	surgery	NOUN
esrj-113518	152	3	is	be	AUX
esrj-113518	152	4	performed	perform	VERB
esrj-113518	152	5	on	on	ADP
esrj-113518	152	6	pre	pre	ADJ
esrj-113518	152	7	-	-	ADJ
esrj-113518	152	8	trained	train	VERB
esrj-113518	152	9	efficient	efficient	ADJ
esrj-113518	152	10	-	-	PUNCT
esrj-113518	152	11	net	net	NOUN
esrj-113518	152	12	b0	b0	NOUN
esrj-113518	152	13	model	model	NOUN
esrj-113518	152	14	on	on	ADP
esrj-113518	152	15	last	last	ADJ
esrj-113518	152	16	three	three	NUM
esrj-113518	152	17	layers	layer	NOUN
esrj-113518	152	18	and	and	CCONJ
esrj-113518	152	19	three	three	NUM
esrj-113518	152	20	new	new	ADJ
esrj-113518	152	21	layers	layer	NOUN
esrj-113518	152	22	fully	fully	ADV
esrj-113518	152	23	connected	connect	VERB
esrj-113518	152	24	layer	layer	NOUN
esrj-113518	152	25	with	with	ADP
esrj-113518	152	26	weight	weight	NOUN
esrj-113518	152	27	and	and	CCONJ
esrj-113518	152	28	bias	bias	NOUN
esrj-113518	152	29	values	value	NOUN
esrj-113518	152	30	assigned	assign	VERB
esrj-113518	152	31	as	as	ADP
esrj-113518	152	32	20	20	NUM
esrj-113518	152	33	,	,	PUNCT
esrj-113518	152	34	softmax	softmax	NOUN
esrj-113518	152	35	layer	layer	NOUN
esrj-113518	152	36	and	and	CCONJ
esrj-113518	152	37	classification	classification	NOUN
esrj-113518	152	38	layers	layer	NOUN
esrj-113518	152	39	are	be	AUX
esrj-113518	152	40	added	add	VERB
esrj-113518	152	41	at	at	ADP
esrj-113518	152	42	the	the	DET
esrj-113518	152	43	end	end	NOUN
esrj-113518	152	44	.	.	PUNCT
esrj-113518	153	1	same	same	ADJ
esrj-113518	153	2	network	network	NOUN
esrj-113518	153	3	surgery	surgery	NOUN
esrj-113518	153	4	is	be	AUX
esrj-113518	153	5	performed	perform	VERB
esrj-113518	153	6	at	at	ADP
esrj-113518	153	7	this	this	DET
esrj-113518	153	8	model	model	NOUN
esrj-113518	153	9	as	as	ADV
esrj-113518	153	10	well	well	ADV
esrj-113518	153	11	where	where	SCONJ
esrj-113518	153	12	we	we	PRON
esrj-113518	153	13	removed	remove	VERB
esrj-113518	153	14	the	the	DET
esrj-113518	153	15	last	last	ADJ
esrj-113518	153	16	three	three	NUM
esrj-113518	153	17	layers	layer	NOUN
esrj-113518	153	18	and	and	CCONJ
esrj-113518	153	19	added	add	VERB
esrj-113518	153	20	new	new	ADJ
esrj-113518	153	21	layers	layer	NOUN
esrj-113518	153	22	with	with	ADP
esrj-113518	153	23	tuned	tune	VERB
esrj-113518	153	24	hyper	hyper	ADJ
esrj-113518	153	25	parameters	parameter	NOUN
esrj-113518	153	26	.	.	PUNCT
esrj-113518	154	1	same	same	ADJ
esrj-113518	154	2	process	process	NOUN
esrj-113518	154	3	is	be	AUX
esrj-113518	154	4	followed	follow	VERB
esrj-113518	154	5	for	for	ADP
esrj-113518	154	6	all	all	DET
esrj-113518	154	7	other	other	ADJ
esrj-113518	154	8	models	model	NOUN
esrj-113518	154	9	alex	alex	PROPN
esrj-113518	154	10	net	net	PROPN
esrj-113518	154	11	,	,	PUNCT
esrj-113518	154	12	vgg16	vgg16	NOUN
esrj-113518	154	13	and	and	CCONJ
esrj-113518	154	14	resnet	resnet	VERB
esrj-113518	154	15	50	50	NUM
esrj-113518	154	16	.	.	PUNCT
esrj-113518	154	17	3.1	3.1	NUM
esrj-113518	154	18	experimentation	experimentation	NOUN
esrj-113518	154	19	experimentation	experimentation	NOUN
esrj-113518	154	20	was	be	AUX
esrj-113518	154	21	performed	perform	VERB
esrj-113518	154	22	on	on	ADP
esrj-113518	154	23	four	four	NUM
esrj-113518	154	24	models	model	NOUN
esrj-113518	154	25	alex	alex	PROPN
esrj-113518	154	26	net	net	PROPN
esrj-113518	154	27	,	,	PUNCT
esrj-113518	154	28	vgg	vgg	NOUN
esrj-113518	154	29	16	16	NUM
esrj-113518	154	30	,	,	PUNCT
esrj-113518	154	31	res	re	NOUN
esrj-113518	154	32	net50	net50	PROPN
esrj-113518	154	33	and	and	CCONJ
esrj-113518	154	34	efficient	efficient	ADJ
esrj-113518	154	35	-	-	PUNCT
esrj-113518	154	36	net	net	NOUN
esrj-113518	154	37	bo	bo	NOUN
esrj-113518	154	38	after	after	ADP
esrj-113518	154	39	performing	perform	VERB
esrj-113518	154	40	the	the	DET
esrj-113518	154	41	desired	desire	VERB
esrj-113518	154	42	tweaking	tweaking	NOUN
esrj-113518	154	43	in	in	ADP
esrj-113518	154	44	the	the	DET
esrj-113518	154	45	layers	layer	NOUN
esrj-113518	154	46	and	and	CCONJ
esrj-113518	154	47	tuning	tune	VERB
esrj-113518	154	48	parameters	parameter	NOUN
esrj-113518	154	49	and	and	CCONJ
esrj-113518	154	50	hyper	hyper	ADJ
esrj-113518	154	51	parameters	parameter	NOUN
esrj-113518	154	52	.	.	PUNCT
esrj-113518	155	1	the	the	DET
esrj-113518	155	2	training	training	NOUN
esrj-113518	155	3	testing	testing	NOUN
esrj-113518	155	4	ratio	ratio	NOUN
esrj-113518	155	5	also	also	ADV
esrj-113518	155	6	kept	keep	VERB
esrj-113518	155	7	same	same	ADJ
esrj-113518	155	8	for	for	ADP
esrj-113518	155	9	each	each	DET
esrj-113518	155	10	proposed	propose	VERB
esrj-113518	155	11	model	model	NOUN
esrj-113518	155	12	that	that	PRON
esrj-113518	155	13	is	be	AUX
esrj-113518	155	14	70:30	70:30	NUM
esrj-113518	155	15	same	same	ADJ
esrj-113518	155	16	parameters	parameter	NOUN
esrj-113518	155	17	were	be	AUX
esrj-113518	155	18	used	use	VERB
esrj-113518	155	19	for	for	ADP
esrj-113518	155	20	each	each	DET
esrj-113518	155	21	proposed	propose	VERB
esrj-113518	155	22	model	model	NOUN
esrj-113518	155	23	.	.	PUNCT
esrj-113518	156	1	the	the	DET
esrj-113518	156	2	details	detail	NOUN
esrj-113518	156	3	are	be	AUX
esrj-113518	156	4	as	as	SCONJ
esrj-113518	156	5	follows	follow	VERB
esrj-113518	156	6	in	in	ADP
esrj-113518	156	7	table	table	NOUN
esrj-113518	156	8	1	1	NUM
esrj-113518	156	9	.	.	PUNCT
esrj-113518	157	1	also	also	ADV
esrj-113518	157	2	,	,	PUNCT
esrj-113518	157	3	the	the	DET
esrj-113518	157	4	hyper	hyper	ADJ
esrj-113518	157	5	parameters	parameter	NOUN
esrj-113518	157	6	were	be	AUX
esrj-113518	157	7	kept	keep	VERB
esrj-113518	157	8	same	same	ADJ
esrj-113518	157	9	for	for	ADP
esrj-113518	157	10	all	all	DET
esrj-113518	157	11	the	the	DET
esrj-113518	157	12	three	three	NUM
esrj-113518	157	13	proposed	propose	VERB
esrj-113518	157	14	models	model	NOUN
esrj-113518	157	15	.	.	PUNCT
esrj-113518	158	1	the	the	DET
esrj-113518	158	2	details	detail	NOUN
esrj-113518	158	3	are	be	AUX
esrj-113518	158	4	shown	show	VERB
esrj-113518	158	5	in	in	ADP
esrj-113518	158	6	table	table	NOUN
esrj-113518	158	7	2	2	NUM
esrj-113518	158	8	.	.	PUNCT
esrj-113518	158	9	table	table	NOUN
esrj-113518	158	10	1	1	NUM
esrj-113518	158	11	.	.	PUNCT
esrj-113518	159	1	parameters	parameter	NOUN
esrj-113518	159	2	values	value	VERB
esrj-113518	159	3	names	name	NOUN
esrj-113518	159	4	values	value	NOUN
esrj-113518	159	5	epochs	epoch	VERB
esrj-113518	159	6	20	20	NUM
esrj-113518	159	7	and	and	CCONJ
esrj-113518	159	8	30	30	NUM
esrj-113518	159	9	optimizer	optimizer	NOUN
esrj-113518	159	10	sgdm	sgdm	NOUN
esrj-113518	159	11	scheduler	scheduler	NOUN
esrj-113518	159	12	piece	piece	NOUN
esrj-113518	159	13	wise	wise	ADJ
esrj-113518	159	14	learning	learning	NOUN
esrj-113518	159	15	rate	rate	NOUN
esrj-113518	159	16	table	table	NOUN
esrj-113518	159	17	2	2	NUM
esrj-113518	159	18	.	.	PUNCT
esrj-113518	159	19	hyper	hyper	ADJ
esrj-113518	159	20	parameters	parameter	NOUN
esrj-113518	159	21	value	value	VERB
esrj-113518	159	22	names	name	NOUN
esrj-113518	159	23	values	value	VERB
esrj-113518	159	24	weight	weight	NOUN
esrj-113518	159	25	learning	learning	NOUN
esrj-113518	159	26	rate	rate	NOUN
esrj-113518	159	27	factor	factor	NOUN
esrj-113518	159	28	20	20	NUM
esrj-113518	159	29	bias	bias	NOUN
esrj-113518	159	30	learning	learn	VERB
esrj-113518	159	31	rate	rate	NOUN
esrj-113518	159	32	factor	factor	NOUN
esrj-113518	159	33	20	20	NUM
esrj-113518	159	34	initial	initial	ADJ
esrj-113518	159	35	learning	learning	NOUN
esrj-113518	159	36	rate	rate	NOUN
esrj-113518	159	37	0.0001	0.0001	NUM
esrj-113518	159	38	3.2	3.2	NUM
esrj-113518	159	39	data	datum	NOUN
esrj-113518	159	40	set	set	VERB
esrj-113518	159	41	details	detail	NOUN
esrj-113518	159	42	two	two	NUM
esrj-113518	159	43	remote	remote	ADJ
esrj-113518	159	44	sensing	sense	VERB
esrj-113518	159	45	data	datum	NOUN
esrj-113518	159	46	sets	set	NOUN
esrj-113518	159	47	were	be	AUX
esrj-113518	159	48	used	use	VERB
esrj-113518	159	49	for	for	ADP
esrj-113518	159	50	experimentation	experimentation	NOUN
esrj-113518	159	51	.	.	PUNCT
esrj-113518	160	1	the	the	DET
esrj-113518	160	2	details	detail	NOUN
esrj-113518	160	3	of	of	ADP
esrj-113518	160	4	data	datum	NOUN
esrj-113518	160	5	sets	set	NOUN
esrj-113518	160	6	are	be	AUX
esrj-113518	160	7	given	give	VERB
esrj-113518	160	8	below	below	ADV
esrj-113518	160	9	;	;	PUNCT
esrj-113518	160	10	3.2.1	3.2.1	NUM
esrj-113518	160	11	aid	aid	NOUN
esrj-113518	160	12	the	the	DET
esrj-113518	160	13	aid	aid	NOUN
esrj-113518	160	14	data	datum	NOUN
esrj-113518	160	15	set	set	VERB
esrj-113518	160	16	has	have	VERB
esrj-113518	160	17	17	17	NUM
esrj-113518	160	18	different	different	ADJ
esrj-113518	160	19	scene	scene	NOUN
esrj-113518	160	20	classes	class	NOUN
esrj-113518	160	21	and	and	CCONJ
esrj-113518	160	22	about	about	ADV
esrj-113518	160	23	200	200	NUM
esrj-113518	160	24	to	to	PART
esrj-113518	160	25	400	400	NUM
esrj-113518	160	26	samples	sample	NOUN
esrj-113518	160	27	of	of	ADP
esrj-113518	160	28	size	size	NOUN
esrj-113518	160	29	600x600	600x600	NUM
esrj-113518	160	30	in	in	ADP
esrj-113518	160	31	each	each	DET
esrj-113518	160	32	class	class	NOUN
esrj-113518	160	33	.	.	PUNCT
esrj-113518	161	1	aid	aid	NOUN
esrj-113518	161	2	is	be	AUX
esrj-113518	161	3	a	a	DET
esrj-113518	161	4	new	new	ADJ
esrj-113518	161	5	large	large	ADJ
esrj-113518	161	6	-	-	PUNCT
esrj-113518	161	7	scale	scale	NOUN
esrj-113518	161	8	aerial	aerial	ADJ
esrj-113518	161	9	image	image	NOUN
esrj-113518	161	10	data	datum	NOUN
esrj-113518	161	11	set	set	VERB
esrj-113518	161	12	,	,	PUNCT
esrj-113518	161	13	by	by	ADP
esrj-113518	161	14	collecting	collect	VERB
esrj-113518	161	15	sample	sample	NOUN
esrj-113518	161	16	images	image	NOUN
esrj-113518	161	17	from	from	ADP
esrj-113518	161	18	google	google	PROPN
esrj-113518	161	19	earth	earth	NOUN
esrj-113518	161	20	imagery	imagery	NOUN
esrj-113518	161	21	.	.	PUNCT
esrj-113518	162	1	the	the	DET
esrj-113518	162	2	new	new	ADJ
esrj-113518	162	3	data	datum	NOUN
esrj-113518	162	4	set	set	VERB
esrj-113518	162	5	is	be	AUX
esrj-113518	162	6	made	make	VERB
esrj-113518	162	7	up	up	ADP
esrj-113518	162	8	of	of	ADP
esrj-113518	162	9	the	the	DET
esrj-113518	162	10	following	follow	VERB
esrj-113518	162	11	aerial	aerial	ADJ
esrj-113518	162	12	scene	scene	NOUN
esrj-113518	162	13	types	type	NOUN
esrj-113518	162	14	:	:	PUNCT
esrj-113518	162	15	airport	airport	NOUN
esrj-113518	162	16	bare	bare	ADJ
esrj-113518	162	17	land	land	NOUN
esrj-113518	162	18	,	,	PUNCT
esrj-113518	162	19	baseball	baseball	NOUN
esrj-113518	162	20	field	field	NOUN
esrj-113518	162	21	,	,	PUNCT
esrj-113518	162	22	beach	beach	NOUN
esrj-113518	162	23	,	,	PUNCT
esrj-113518	162	24	bridge	bridge	NOUN
esrj-113518	162	25	,	,	PUNCT
esrj-113518	162	26	center	center	NOUN
esrj-113518	162	27	,	,	PUNCT
esrj-113518	162	28	church	church	NOUN
esrj-113518	162	29	,	,	PUNCT
esrj-113518	162	30	commercial	commercial	ADJ
esrj-113518	162	31	,	,	PUNCT
esrj-113518	162	32	dense	dense	ADJ
esrj-113518	162	33	residential	residential	ADJ
esrj-113518	162	34	,	,	PUNCT
esrj-113518	162	35	desert	desert	NOUN
esrj-113518	162	36	,	,	PUNCT
esrj-113518	162	37	farm	farm	NOUN
esrj-113518	162	38	land	land	NOUN
esrj-113518	162	39	,	,	PUNCT
esrj-113518	162	40	forest	forest	NOUN
esrj-113518	162	41	,	,	PUNCT
esrj-113518	162	42	industrial	industrial	ADJ
esrj-113518	162	43	,	,	PUNCT
esrj-113518	162	44	meadow	meadow	NOUN
esrj-113518	162	45	,	,	PUNCT
esrj-113518	162	46	medium	medium	ADJ
esrj-113518	162	47	residential	residential	ADJ
esrj-113518	162	48	,	,	PUNCT
esrj-113518	162	49	mountains	mountain	NOUN
esrj-113518	162	50	,	,	PUNCT
esrj-113518	162	51	parking	parking	NOUN
esrj-113518	162	52	and	and	CCONJ
esrj-113518	162	53	pond	pond	NOUN
esrj-113518	162	54	.	.	PUNCT
esrj-113518	163	1	the	the	DET
esrj-113518	163	2	spatial	spatial	ADJ
esrj-113518	163	3	resolution	resolution	NOUN
esrj-113518	163	4	of	of	ADP
esrj-113518	163	5	images	image	NOUN
esrj-113518	163	6	are	be	AUX
esrj-113518	163	7	0.3	0.3	NUM
esrj-113518	163	8	-	-	PUNCT
esrj-113518	163	9	0.8m	0.8m	NOUN
esrj-113518	163	10	/	/	SYM
esrj-113518	163	11	pixel	pixel	NOUN
esrj-113518	163	12	as	as	SCONJ
esrj-113518	163	13	shown	show	VERB
esrj-113518	163	14	in	in	ADP
esrj-113518	163	15	figure	figure	NOUN
esrj-113518	163	16	3	3	NUM
esrj-113518	163	17	.	.	PUNCT
esrj-113518	163	18	figure	figure	VERB
esrj-113518	163	19	3	3	NUM
esrj-113518	163	20	.	.	PUNCT
esrj-113518	163	21	photo	photo	NOUN
esrj-113518	163	22	gallery	gallery	NOUN
esrj-113518	163	23	of	of	ADP
esrj-113518	163	24	randomly	randomly	ADV
esrj-113518	163	25	selected	select	VERB
esrj-113518	163	26	images	image	NOUN
esrj-113518	163	27	from	from	ADP
esrj-113518	163	28	aid	aid	NOUN
esrj-113518	163	29	data	datum	NOUN
esrj-113518	163	30	set	set	VERB
esrj-113518	163	31	3.2.2	3.2.2	NUM
esrj-113518	163	32	aider	aider	NOUN
esrj-113518	163	33	(	(	PUNCT
esrj-113518	163	34	aerial	aerial	ADJ
esrj-113518	163	35	image	image	NOUN
esrj-113518	163	36	data	datum	NOUN
esrj-113518	163	37	set	set	VERB
esrj-113518	163	38	for	for	ADP
esrj-113518	163	39	emergency	emergency	NOUN
esrj-113518	163	40	response	response	NOUN
esrj-113518	163	41	applications	application	NOUN
esrj-113518	163	42	)	)	PUNCT
esrj-113518	163	43	the	the	DET
esrj-113518	163	44	data	datum	NOUN
esrj-113518	163	45	set	set	VERB
esrj-113518	163	46	construction	construction	NOUN
esrj-113518	163	47	involved	involve	VERB
esrj-113518	163	48	manually	manually	ADV
esrj-113518	163	49	collecting	collect	VERB
esrj-113518	163	50	all	all	DET
esrj-113518	163	51	images	image	NOUN
esrj-113518	163	52	for	for	ADP
esrj-113518	163	53	four	four	NUM
esrj-113518	163	54	disaster	disaster	NOUN
esrj-113518	163	55	events	event	NOUN
esrj-113518	163	56	,	,	PUNCT
esrj-113518	163	57	namely	namely	ADV
esrj-113518	163	58	fire	fire	NOUN
esrj-113518	163	59	/	/	SYM
esrj-113518	163	60	smoke	smoke	NOUN
esrj-113518	163	61	,	,	PUNCT
esrj-113518	163	62	flood	flood	NOUN
esrj-113518	163	63	,	,	PUNCT
esrj-113518	163	64	collapsed	collapse	VERB
esrj-113518	163	65	building	building	NOUN
esrj-113518	163	66	/	/	SYM
esrj-113518	163	67	rubble	rubble	NOUN
esrj-113518	163	68	,	,	PUNCT
esrj-113518	163	69	and	and	CCONJ
esrj-113518	163	70	traffic	traffic	NOUN
esrj-113518	163	71	accidents	accident	NOUN
esrj-113518	163	72	,	,	PUNCT
esrj-113518	163	73	as	as	ADV
esrj-113518	163	74	well	well	ADV
esrj-113518	163	75	as	as	ADP
esrj-113518	163	76	one	one	NUM
esrj-113518	163	77	class	class	NOUN
esrj-113518	163	78	for	for	ADP
esrj-113518	163	79	the	the	DET
esrj-113518	163	80	normal	normal	ADJ
esrj-113518	163	81	case	case	NOUN
esrj-113518	163	82	.	.	PUNCT
esrj-113518	164	1	as	as	SCONJ
esrj-113518	164	2	shown	show	VERB
esrj-113518	164	3	in	in	ADP
esrj-113518	164	4	figure	figure	NOUN
esrj-113518	164	5	4	4	NUM
esrj-113518	164	6	the	the	DET
esrj-113518	164	7	aerial	aerial	ADJ
esrj-113518	164	8	images	image	NOUN
esrj-113518	164	9	for	for	ADP
esrj-113518	164	10	the	the	DET
esrj-113518	164	11	disaster	disaster	NOUN
esrj-113518	164	12	events	event	NOUN
esrj-113518	164	13	were	be	AUX
esrj-113518	164	14	collected	collect	VERB
esrj-113518	164	15	through	through	ADP
esrj-113518	164	16	various	various	ADJ
esrj-113518	164	17	online	online	ADJ
esrj-113518	164	18	sources	source	NOUN
esrj-113518	164	19	(	(	PUNCT
esrj-113518	164	20	e.g.	e.g.	ADV
esrj-113518	164	21	,	,	PUNCT
esrj-113518	164	22	google	google	PROPN
esrj-113518	164	23	images	image	NOUN
esrj-113518	164	24	,	,	PUNCT
esrj-113518	164	25	bing	bing	NOUN
esrj-113518	164	26	images	image	NOUN
esrj-113518	164	27	,	,	PUNCT
esrj-113518	164	28	youtube	youtube	NOUN
esrj-113518	164	29	,	,	PUNCT
esrj-113518	164	30	news	news	NOUN
esrj-113518	164	31	agencies	agency	NOUN
esrj-113518	164	32	web	web	NOUN
esrj-113518	164	33	sites	site	NOUN
esrj-113518	164	34	,	,	PUNCT
esrj-113518	164	35	etc	etc	X
esrj-113518	164	36	.	.	X
esrj-113518	164	37	)	)	PUNCT
esrj-113518	164	38	using	use	VERB
esrj-113518	164	39	the	the	DET
esrj-113518	164	40	keywords	keyword	NOUN
esrj-113518	164	41	aerial	aerial	ADJ
esrj-113518	164	42	view	view	NOUN
esrj-113518	164	43	or	or	CCONJ
esrj-113518	164	44	uav	uav	PROPN
esrj-113518	164	45	or	or	CCONJ
esrj-113518	164	46	drone	drone	NOUN
esrj-113518	164	47	and	and	CCONJ
esrj-113518	164	48	an	an	DET
esrj-113518	164	49	event	event	NOUN
esrj-113518	164	50	such	such	ADJ
esrj-113518	164	51	as	as	ADP
esrj-113518	164	52	fire	fire	NOUN
esrj-113518	164	53	,	,	PUNCT
esrj-113518	164	54	earthquake	earthquake	NOUN
esrj-113518	164	55	,	,	PUNCT
esrj-113518	164	56	highway	highway	NOUN
esrj-113518	164	57	accident	accident	NOUN
esrj-113518	164	58	,	,	PUNCT
esrj-113518	164	59	etc	etc	X
esrj-113518	164	60	.	.	X
esrj-113518	165	1	this	this	DET
esrj-113518	165	2	subset	subset	NOUN
esrj-113518	165	3	includes	include	VERB
esrj-113518	165	4	around	around	ADP
esrj-113518	165	5	500	500	NUM
esrj-113518	165	6	images	image	NOUN
esrj-113518	165	7	for	for	ADP
esrj-113518	165	8	each	each	DET
esrj-113518	165	9	disaster	disaster	NOUN
esrj-113518	165	10	class	class	NOUN
esrj-113518	165	11	and	and	CCONJ
esrj-113518	165	12	over	over	ADP
esrj-113518	165	13	4000	4000	NUM
esrj-113518	165	14	images	image	NOUN
esrj-113518	165	15	for	for	ADP
esrj-113518	165	16	the	the	DET
esrj-113518	165	17	normal	normal	ADJ
esrj-113518	165	18	class	class	NOUN
esrj-113518	165	19	.	.	PUNCT
esrj-113518	166	1	spatial	spatial	ADJ
esrj-113518	166	2	resolution	resolution	NOUN
esrj-113518	166	3	of	of	ADP
esrj-113518	166	4	images	image	NOUN
esrj-113518	166	5	is	be	AUX
esrj-113518	166	6	1m	1m	NUM
esrj-113518	166	7	/	/	SYM
esrj-113518	166	8	pixel	pixel	NOUN
esrj-113518	166	9	.	.	PUNCT
esrj-113518	167	1	the	the	DET
esrj-113518	167	2	details	detail	NOUN
esrj-113518	167	3	of	of	ADP
esrj-113518	167	4	the	the	DET
esrj-113518	167	5	data	data	NOUN
esrj-113518	167	6	sets	set	NOUN
esrj-113518	167	7	used	use	VERB
esrj-113518	167	8	during	during	ADP
esrj-113518	167	9	experimentation	experimentation	NOUN
esrj-113518	167	10	are	be	AUX
esrj-113518	167	11	shown	show	VERB
esrj-113518	167	12	in	in	ADP
esrj-113518	167	13	table	table	NOUN
esrj-113518	167	14	3	3	NUM
esrj-113518	167	15	.	.	PUNCT
esrj-113518	167	16	table	table	NOUN
esrj-113518	167	17	3	3	NUM
esrj-113518	167	18	.	.	PUNCT
esrj-113518	167	19	dataset	dataset	VERB
esrj-113518	167	20	details	detail	NOUN
esrj-113518	167	21	name	name	NOUN
esrj-113518	167	22	classes	class	NOUN
esrj-113518	167	23	total	total	ADJ
esrj-113518	167	24	images	image	NOUN
esrj-113518	167	25	image/	image/	NUM
esrj-113518	167	26	class	class	NOUN
esrj-113518	167	27	image	image	NOUN
esrj-113518	167	28	size	size	NOUN
esrj-113518	167	29	spatial	spatial	ADJ
esrj-113518	167	30	resolution	resolution	NOUN
esrj-113518	167	31	aid	aid	NOUN
esrj-113518	167	32	18	18	NUM
esrj-113518	167	33	5400	5400	NUM
esrj-113518	167	34	300	300	NUM
esrj-113518	167	35	600x600	600x600	NUM
esrj-113518	167	36	0.5	0.5	NUM
esrj-113518	167	37	to	to	PART
esrj-113518	167	38	8	8	NUM
esrj-113518	167	39	meters	meter	NOUN
esrj-113518	167	40	per	per	ADP
esrj-113518	167	41	pixel	pixel	NOUN
esrj-113518	167	42	aider	aider	NOUN
esrj-113518	167	43	5	5	NUM
esrj-113518	167	44	6000	6000	NUM
esrj-113518	167	45	500/	500/	NUM
esrj-113518	167	46	class,4000	class,4000	NOUN
esrj-113518	167	47	normal	normal	ADJ
esrj-113518	167	48	281x288	281x288	NUM
esrj-113518	167	49	1	1	NUM
esrj-113518	167	50	meter	meter	NOUN
esrj-113518	167	51	per	per	ADP
esrj-113518	167	52	pixel	pixel	PROPN
esrj-113518	167	53	figure	figure	NOUN
esrj-113518	167	54	4	4	NUM
esrj-113518	167	55	.	.	PUNCT
esrj-113518	167	56	photo	photo	NOUN
esrj-113518	167	57	gallery	gallery	NOUN
esrj-113518	167	58	of	of	ADP
esrj-113518	167	59	randomly	randomly	ADV
esrj-113518	167	60	selected	select	VERB
esrj-113518	167	61	images	image	NOUN
esrj-113518	167	62	of	of	ADP
esrj-113518	167	63	aider	aider	NOUN
esrj-113518	167	64	data	datum	NOUN
esrj-113518	167	65	3.3	3.3	NUM
esrj-113518	167	66	performance	performance	NOUN
esrj-113518	167	67	evaluation	evaluation	NOUN
esrj-113518	167	68	the	the	DET
esrj-113518	167	69	experimentation	experimentation	NOUN
esrj-113518	167	70	was	be	AUX
esrj-113518	167	71	performed	perform	VERB
esrj-113518	167	72	on	on	ADP
esrj-113518	167	73	hp	hp	PROPN
esrj-113518	167	74	pavilion	pavilion	NOUN
esrj-113518	167	75	gaming	game	VERB
esrj-113518	167	76	laptop	laptop	NOUN
esrj-113518	167	77	the	the	DET
esrj-113518	167	78	processor	processor	NOUN
esrj-113518	167	79	used	use	VERB
esrj-113518	167	80	in	in	ADP
esrj-113518	167	81	this	this	DET
esrj-113518	167	82	system	system	NOUN
esrj-113518	167	83	was	be	AUX
esrj-113518	167	84	amd	amd	ADJ
esrj-113518	167	85	ryzen	ryzen	ADJ
esrj-113518	167	86	7	7	NUM
esrj-113518	167	87	4800h	4800h	NUM
esrj-113518	167	88	with	with	ADP
esrj-113518	167	89	radeon	radeon	NOUN
esrj-113518	167	90	graphics	graphic	NOUN
esrj-113518	167	91	system	system	NOUN
esrj-113518	167	92	.	.	PUNCT
esrj-113518	168	1	64	64	NUM
esrj-113518	168	2	-	-	PUNCT
esrj-113518	168	3	bit	bit	NOUN
esrj-113518	168	4	windows	window	NOUN
esrj-113518	168	5	10	10	NUM
esrj-113518	168	6	were	be	AUX
esrj-113518	168	7	used	use	VERB
esrj-113518	168	8	as	as	ADP
esrj-113518	168	9	operating	operating	NOUN
esrj-113518	168	10	system	system	NOUN
esrj-113518	168	11	.	.	PUNCT
esrj-113518	169	1	256	256	NUM
esrj-113518	169	2	gb	gb	NOUN
esrj-113518	169	3	primary	primary	ADJ
esrj-113518	169	4	memory	memory	NOUN
esrj-113518	169	5	was	be	AUX
esrj-113518	169	6	used	use	VERB
esrj-113518	169	7	with	with	ADP
esrj-113518	169	8	70:30	70:30	NUM
esrj-113518	169	9	training	training	NOUN
esrj-113518	169	10	testing	testing	NOUN
esrj-113518	169	11	ratio	ratio	NOUN
esrj-113518	169	12	.	.	PUNCT
esrj-113518	170	1	3.3.1	3.3.1	NUM
esrj-113518	170	2	time	time	NOUN
esrj-113518	170	3	performance	performance	NOUN
esrj-113518	170	4	evaluation	evaluation	NOUN
esrj-113518	170	5	training	training	NOUN
esrj-113518	170	6	time	time	NOUN
esrj-113518	170	7	depends	depend	VERB
esrj-113518	170	8	on	on	ADP
esrj-113518	170	9	many	many	ADJ
esrj-113518	170	10	factors	factor	NOUN
esrj-113518	170	11	;	;	PUNCT
esrj-113518	170	12	hardware	hardware	NOUN
esrj-113518	170	13	resources	resource	NOUN
esrj-113518	170	14	are	be	AUX
esrj-113518	170	15	one	one	NUM
esrj-113518	170	16	of	of	ADP
esrj-113518	170	17	them	they	PRON
esrj-113518	170	18	.	.	PUNCT
esrj-113518	171	1	single	single	ADJ
esrj-113518	171	2	nvidia	nvidia	PROPN
esrj-113518	171	3	gtx	gtx	PROPN
esrj-113518	171	4	gpu	gpu	PROPN
esrj-113518	171	5	was	be	AUX
esrj-113518	171	6	used	use	VERB
esrj-113518	171	7	for	for	ADP
esrj-113518	171	8	experimentation	experimentation	NOUN
esrj-113518	171	9	.	.	PUNCT
esrj-113518	172	1	the	the	DET
esrj-113518	172	2	batch	batch	NOUN
esrj-113518	172	3	size	size	NOUN
esrj-113518	172	4	was	be	AUX
esrj-113518	172	5	kept	keep	VERB
esrj-113518	172	6	8	8	NUM
esrj-113518	172	7	through	through	ADP
esrj-113518	172	8	the	the	DET
esrj-113518	172	9	work	work	NOUN
esrj-113518	172	10	due	due	ADP
esrj-113518	172	11	to	to	ADP
esrj-113518	172	12	limited	limited	ADJ
esrj-113518	172	13	number	number	NOUN
esrj-113518	172	14	of	of	ADP
esrj-113518	172	15	memory	memory	NOUN
esrj-113518	172	16	resources	resource	NOUN
esrj-113518	172	17	available	available	ADJ
esrj-113518	172	18	.	.	PUNCT
esrj-113518	173	1	while	while	SCONJ
esrj-113518	173	2	using	use	VERB
esrj-113518	173	3	the	the	DET
esrj-113518	173	4	above	above	ADV
esrj-113518	173	5	-	-	PUNCT
esrj-113518	173	6	mentioned	mention	VERB
esrj-113518	173	7	resource	resource	NOUN
esrj-113518	173	8	the	the	DET
esrj-113518	173	9	training	training	NOUN
esrj-113518	173	10	and	and	CCONJ
esrj-113518	173	11	prediction	prediction	NOUN
esrj-113518	173	12	times	time	NOUN
esrj-113518	173	13	are	be	AUX
esrj-113518	173	14	discussed	discuss	VERB
esrj-113518	173	15	in	in	ADP
esrj-113518	173	16	table	table	NOUN
esrj-113518	173	17	4	4	NUM
esrj-113518	173	18	and	and	CCONJ
esrj-113518	173	19	table	table	NOUN
esrj-113518	173	20	5	5	NUM
esrj-113518	173	21	table	table	NOUN
esrj-113518	173	22	4	4	NUM
esrj-113518	173	23	.	.	PUNCT
esrj-113518	174	1	training	training	NOUN
esrj-113518	174	2	and	and	CCONJ
esrj-113518	174	3	prediction	prediction	NOUN
esrj-113518	174	4	time	time	NOUN
esrj-113518	174	5	for	for	ADP
esrj-113518	174	6	aider	aider	NOUN
esrj-113518	174	7	dataset	dataset	NOUN
esrj-113518	174	8	using	use	VERB
esrj-113518	174	9	proposed	propose	VERB
esrj-113518	174	10	resnet50	resnet50	NOUN
esrj-113518	174	11	model	model	NOUN
esrj-113518	174	12	dataset	dataset	NOUN
esrj-113518	174	13	aider	aider	NOUN
esrj-113518	174	14	training	training	NOUN
esrj-113518	174	15	time	time	NOUN
esrj-113518	174	16	115	115	NUM
esrj-113518	174	17	min	min	NOUN
esrj-113518	174	18	(	(	PUNCT
esrj-113518	174	19	6900	6900	NUM
esrj-113518	174	20	sec	sec	PROPN
esrj-113518	174	21	)	)	PUNCT
esrj-113518	174	22	total	total	ADJ
esrj-113518	174	23	classes	class	NOUN
esrj-113518	174	24	5	5	NUM
esrj-113518	174	25	images	image	NOUN
esrj-113518	174	26	per	per	ADP
esrj-113518	174	27	class	class	NOUN
esrj-113518	174	28	400	400	NUM
esrj-113518	174	29	,	,	PUNCT
esrj-113518	174	30	2000	2000	NUM
esrj-113518	174	31	normal	normal	ADJ
esrj-113518	174	32	time	time	NOUN
esrj-113518	174	33	for	for	ADP
esrj-113518	174	34	1	1	NUM
esrj-113518	174	35	epoch	epoch	NOUN
esrj-113518	174	36	230	230	NUM
esrj-113518	174	37	sec	sec	PROPN
esrj-113518	174	38	time	time	NOUN
esrj-113518	174	39	per	per	ADP
esrj-113518	174	40	class	class	NOUN
esrj-113518	174	41	46	46	NUM
esrj-113518	174	42	sec	sec	PROPN
esrj-113518	174	43	prediction	prediction	NOUN
esrj-113518	174	44	time	time	NOUN
esrj-113518	174	45	per	per	ADP
esrj-113518	174	46	image	image	NOUN
esrj-113518	174	47	0.0076	0.0076	NUM
esrj-113518	174	48	sec	sec	PROPN
esrj-113518	174	49	414	414	NUM
esrj-113518	174	50	maryam	maryam	PROPN
esrj-113518	174	51	mehmood	mehmood	PROPN
esrj-113518	174	52	,	,	PUNCT
esrj-113518	174	53	farhan	farhan	PROPN
esrj-113518	174	54	hussain	hussain	PROPN
esrj-113518	174	55	,	,	PUNCT
esrj-113518	174	56	ahsan	ahsan	PROPN
esrj-113518	174	57	shahzad	shahzad	PROPN
esrj-113518	174	58	,	,	PUNCT
esrj-113518	174	59	nouman	nouman	PROPN
esrj-113518	174	60	ali	ali	PROPN
esrj-113518	174	61	table	table	PROPN
esrj-113518	174	62	5	5	NUM
esrj-113518	174	63	.	.	PUNCT
esrj-113518	175	1	training	training	NOUN
esrj-113518	175	2	and	and	CCONJ
esrj-113518	175	3	prediction	prediction	NOUN
esrj-113518	175	4	time	time	NOUN
esrj-113518	175	5	for	for	ADP
esrj-113518	175	6	aid	aid	NOUN
esrj-113518	175	7	dataset	dataset	NOUN
esrj-113518	175	8	using	use	VERB
esrj-113518	175	9	proposed	propose	VERB
esrj-113518	175	10	resnet50	resnet50	NOUN
esrj-113518	175	11	model	model	PROPN
esrj-113518	175	12	dataset	dataset	PROPN
esrj-113518	175	13	aid	aid	NOUN
esrj-113518	175	14	training	training	NOUN
esrj-113518	175	15	time	time	NOUN
esrj-113518	175	16	119	119	NUM
esrj-113518	175	17	min	min	NOUN
esrj-113518	175	18	(	(	PUNCT
esrj-113518	175	19	6900	6900	NUM
esrj-113518	175	20	sec	sec	PROPN
esrj-113518	175	21	)	)	PUNCT
esrj-113518	175	22	total	total	ADJ
esrj-113518	175	23	classes	class	NOUN
esrj-113518	175	24	18	18	NUM
esrj-113518	175	25	images	image	NOUN
esrj-113518	175	26	per	per	ADP
esrj-113518	175	27	class	class	NOUN
esrj-113518	175	28	300	300	NUM
esrj-113518	175	29	time	time	NOUN
esrj-113518	175	30	for	for	ADP
esrj-113518	175	31	1	1	NUM
esrj-113518	175	32	epoch	epoch	NOUN
esrj-113518	175	33	238	238	NUM
esrj-113518	175	34	sec	sec	PROPN
esrj-113518	175	35	time	time	NOUN
esrj-113518	175	36	per	per	ADP
esrj-113518	175	37	class	class	NOUN
esrj-113518	175	38	13.2	13.2	NUM
esrj-113518	175	39	sec	sec	PROPN
esrj-113518	175	40	prediction	prediction	NOUN
esrj-113518	175	41	time	time	NOUN
esrj-113518	175	42	per	per	ADP
esrj-113518	175	43	image	image	NOUN
esrj-113518	175	44	0.0044	0.0044	NUM
esrj-113518	175	45	sec	sec	PROPN
esrj-113518	175	46	the	the	DET
esrj-113518	175	47	matrices	matrix	NOUN
esrj-113518	175	48	used	use	VERB
esrj-113518	175	49	for	for	ADP
esrj-113518	175	50	performance	performance	NOUN
esrj-113518	175	51	evaluation	evaluation	NOUN
esrj-113518	175	52	were	be	AUX
esrj-113518	175	53	accuracy	accuracy	NOUN
esrj-113518	175	54	,	,	PUNCT
esrj-113518	175	55	precision	precision	NOUN
esrj-113518	175	56	,	,	PUNCT
esrj-113518	175	57	f1	f1	NOUN
esrj-113518	175	58	score	score	NOUN
esrj-113518	175	59	and	and	CCONJ
esrj-113518	175	60	recall	recall	NOUN
esrj-113518	175	61	.	.	PUNCT
esrj-113518	176	1	accuracy	accuracy	NOUN
esrj-113518	176	2	,	,	PUNCT
esrj-113518	176	3	precision	precision	NOUN
esrj-113518	176	4	,	,	PUNCT
esrj-113518	176	5	recall	recall	NOUN
esrj-113518	176	6	,	,	PUNCT
esrj-113518	176	7	and	and	CCONJ
esrj-113518	176	8	f1	f1	NOUN
esrj-113518	176	9	score	score	NOUN
esrj-113518	176	10	are	be	AUX
esrj-113518	176	11	commonly	commonly	ADV
esrj-113518	176	12	used	use	VERB
esrj-113518	176	13	performance	performance	NOUN
esrj-113518	176	14	metrics	metric	NOUN
esrj-113518	176	15	for	for	ADP
esrj-113518	176	16	evaluating	evaluate	VERB
esrj-113518	176	17	the	the	DET
esrj-113518	176	18	performance	performance	NOUN
esrj-113518	176	19	of	of	ADP
esrj-113518	176	20	cnn	cnn	PROPN
esrj-113518	176	21	models	model	NOUN
esrj-113518	176	22	.	.	PUNCT
esrj-113518	177	1	accuracy	accuracy	NOUN
esrj-113518	177	2	is	be	AUX
esrj-113518	177	3	the	the	DET
esrj-113518	177	4	most	most	ADV
esrj-113518	177	5	straightforward	straightforward	ADJ
esrj-113518	177	6	metric	metric	NOUN
esrj-113518	177	7	,	,	PUNCT
esrj-113518	177	8	which	which	PRON
esrj-113518	177	9	measures	measure	VERB
esrj-113518	177	10	the	the	DET
esrj-113518	177	11	percentage	percentage	NOUN
esrj-113518	177	12	of	of	ADP
esrj-113518	177	13	correctly	correctly	ADV
esrj-113518	177	14	classified	classified	ADJ
esrj-113518	177	15	examples	example	NOUN
esrj-113518	177	16	in	in	ADP
esrj-113518	177	17	the	the	DET
esrj-113518	177	18	data	datum	NOUN
esrj-113518	177	19	set	set	VERB
esrj-113518	177	20	.	.	PUNCT
esrj-113518	178	1	precision	precision	NOUN
esrj-113518	178	2	measures	measure	VERB
esrj-113518	178	3	the	the	DET
esrj-113518	178	4	proportion	proportion	NOUN
esrj-113518	178	5	of	of	ADP
esrj-113518	178	6	true	true	ADJ
esrj-113518	178	7	positives	positive	NOUN
esrj-113518	178	8	(	(	PUNCT
esrj-113518	178	9	correctly	correctly	ADV
esrj-113518	178	10	identified	identify	VERB
esrj-113518	178	11	instances	instance	NOUN
esrj-113518	178	12	of	of	ADP
esrj-113518	178	13	a	a	DET
esrj-113518	178	14	given	give	VERB
esrj-113518	178	15	class	class	NOUN
esrj-113518	178	16	)	)	PUNCT
esrj-113518	178	17	among	among	ADP
esrj-113518	178	18	all	all	DET
esrj-113518	178	19	positive	positive	ADJ
esrj-113518	178	20	predictions	prediction	NOUN
esrj-113518	178	21	.	.	PUNCT
esrj-113518	179	1	recall	recall	NOUN
esrj-113518	179	2	,	,	PUNCT
esrj-113518	179	3	also	also	ADV
esrj-113518	179	4	known	know	VERB
esrj-113518	179	5	as	as	ADP
esrj-113518	179	6	sensitivity	sensitivity	NOUN
esrj-113518	179	7	,	,	PUNCT
esrj-113518	179	8	measures	measure	VERB
esrj-113518	179	9	the	the	DET
esrj-113518	179	10	proportion	proportion	NOUN
esrj-113518	179	11	of	of	ADP
esrj-113518	179	12	true	true	ADJ
esrj-113518	179	13	positives	positive	NOUN
esrj-113518	179	14	that	that	PRON
esrj-113518	179	15	are	be	AUX
esrj-113518	179	16	correctly	correctly	ADV
esrj-113518	179	17	identified	identify	VERB
esrj-113518	179	18	by	by	ADP
esrj-113518	179	19	the	the	DET
esrj-113518	179	20	model	model	NOUN
esrj-113518	179	21	among	among	ADP
esrj-113518	179	22	all	all	DET
esrj-113518	179	23	instances	instance	NOUN
esrj-113518	179	24	of	of	ADP
esrj-113518	179	25	that	that	DET
esrj-113518	179	26	class	class	NOUN
esrj-113518	179	27	in	in	ADP
esrj-113518	179	28	the	the	DET
esrj-113518	179	29	data	datum	NOUN
esrj-113518	179	30	set	set	VERB
esrj-113518	179	31	.	.	PUNCT
esrj-113518	180	1	whereas	whereas	ADV
esrj-113518	180	2	,	,	PUNCT
esrj-113518	180	3	f1	f1	ADJ
esrj-113518	180	4	score	score	NOUN
esrj-113518	180	5	is	be	AUX
esrj-113518	180	6	the	the	DET
esrj-113518	180	7	harmonic	harmonic	ADJ
esrj-113518	180	8	mean	mean	NOUN
esrj-113518	180	9	of	of	ADP
esrj-113518	180	10	precision	precision	NOUN
esrj-113518	180	11	and	and	CCONJ
esrj-113518	180	12	recall	recall	NOUN
esrj-113518	180	13	,	,	PUNCT
esrj-113518	180	14	and	and	CCONJ
esrj-113518	180	15	is	be	AUX
esrj-113518	180	16	often	often	ADV
esrj-113518	180	17	used	use	VERB
esrj-113518	180	18	as	as	ADP
esrj-113518	180	19	a	a	DET
esrj-113518	180	20	single	single	ADJ
esrj-113518	180	21	performance	performance	NOUN
esrj-113518	180	22	metric	metric	NOUN
esrj-113518	180	23	that	that	PRON
esrj-113518	180	24	combines	combine	VERB
esrj-113518	180	25	both	both	DET
esrj-113518	180	26	measures	measure	NOUN
esrj-113518	180	27	.	.	PUNCT
esrj-113518	181	1	accuracy	accuracy	NOUN
esrj-113518	181	2	is	be	AUX
esrj-113518	181	3	the	the	DET
esrj-113518	181	4	most	most	ADV
esrj-113518	181	5	straightforward	straightforward	ADJ
esrj-113518	181	6	metric	metric	NOUN
esrj-113518	181	7	,	,	PUNCT
esrj-113518	181	8	which	which	PRON
esrj-113518	181	9	measures	measure	VERB
esrj-113518	181	10	the	the	DET
esrj-113518	181	11	percentage	percentage	NOUN
esrj-113518	181	12	of	of	ADP
esrj-113518	181	13	correctly	correctly	ADV
esrj-113518	181	14	classified	classified	ADJ
esrj-113518	181	15	examples	example	NOUN
esrj-113518	181	16	in	in	ADP
esrj-113518	181	17	the	the	DET
esrj-113518	181	18	dataset	dataset	NOUN
esrj-113518	181	19	.	.	PUNCT
esrj-113518	182	1	it	it	PRON
esrj-113518	182	2	is	be	AUX
esrj-113518	182	3	defined	define	VERB
esrj-113518	182	4	as	as	ADP
esrj-113518	182	5	:	:	PUNCT
esrj-113518	182	6	accuracy	accuracy	NOUN
esrj-113518	182	7	=	=	SYM
esrj-113518	182	8	(	(	PUNCT
esrj-113518	182	9	number	number	NOUN
esrj-113518	182	10	of	of	ADP
esrj-113518	182	11	correctly	correctly	ADV
esrj-113518	182	12	classified	classified	ADJ
esrj-113518	182	13	examples	example	NOUN
esrj-113518	182	14	)	)	PUNCT
esrj-113518	182	15	/	/	PUNCT
esrj-113518	183	1	(	(	PUNCT
esrj-113518	183	2	total	total	ADJ
esrj-113518	183	3	number	number	NOUN
esrj-113518	183	4	of	of	ADP
esrj-113518	183	5	examples	example	NOUN
esrj-113518	183	6	)	)	PUNCT
esrj-113518	183	7	precision	precision	NOUN
esrj-113518	183	8	measures	measure	VERB
esrj-113518	183	9	the	the	DET
esrj-113518	183	10	proportion	proportion	NOUN
esrj-113518	183	11	of	of	ADP
esrj-113518	183	12	true	true	ADJ
esrj-113518	183	13	positives	positive	NOUN
esrj-113518	183	14	(	(	PUNCT
esrj-113518	183	15	correctly	correctly	ADV
esrj-113518	183	16	identified	identify	VERB
esrj-113518	183	17	instances	instance	NOUN
esrj-113518	183	18	of	of	ADP
esrj-113518	183	19	a	a	DET
esrj-113518	183	20	given	give	VERB
esrj-113518	183	21	class	class	NOUN
esrj-113518	183	22	)	)	PUNCT
esrj-113518	183	23	among	among	ADP
esrj-113518	183	24	all	all	DET
esrj-113518	183	25	positive	positive	ADJ
esrj-113518	183	26	predictions	prediction	NOUN
esrj-113518	183	27	.	.	PUNCT
esrj-113518	184	1	it	it	PRON
esrj-113518	184	2	is	be	AUX
esrj-113518	184	3	defined	define	VERB
esrj-113518	184	4	as	as	ADP
esrj-113518	184	5	:	:	PUNCT
esrj-113518	184	6	precision	precision	NOUN
esrj-113518	184	7	=	=	SYM
esrj-113518	184	8	(	(	PUNCT
esrj-113518	184	9	true	true	ADJ
esrj-113518	184	10	positives	positive	NOUN
esrj-113518	184	11	)	)	PUNCT
esrj-113518	184	12	/	/	SYM
esrj-113518	184	13	(	(	PUNCT
esrj-113518	184	14	true	true	ADJ
esrj-113518	184	15	positives	positive	NOUN
esrj-113518	184	16	+	+	CCONJ
esrj-113518	184	17	false	false	ADJ
esrj-113518	184	18	positives	positive	NOUN
esrj-113518	184	19	)	)	PUNCT
esrj-113518	184	20	recall	recall	NOUN
esrj-113518	184	21	,	,	PUNCT
esrj-113518	184	22	also	also	ADV
esrj-113518	184	23	known	know	VERB
esrj-113518	184	24	as	as	ADP
esrj-113518	184	25	sensitivity	sensitivity	NOUN
esrj-113518	184	26	,	,	PUNCT
esrj-113518	184	27	measures	measure	VERB
esrj-113518	184	28	the	the	DET
esrj-113518	184	29	proportion	proportion	NOUN
esrj-113518	184	30	of	of	ADP
esrj-113518	184	31	true	true	ADJ
esrj-113518	184	32	positives	positive	NOUN
esrj-113518	184	33	that	that	PRON
esrj-113518	184	34	are	be	AUX
esrj-113518	184	35	correctly	correctly	ADV
esrj-113518	184	36	identified	identify	VERB
esrj-113518	184	37	by	by	ADP
esrj-113518	184	38	the	the	DET
esrj-113518	184	39	model	model	NOUN
esrj-113518	184	40	among	among	ADP
esrj-113518	184	41	all	all	DET
esrj-113518	184	42	instances	instance	NOUN
esrj-113518	184	43	of	of	ADP
esrj-113518	184	44	that	that	DET
esrj-113518	184	45	class	class	NOUN
esrj-113518	184	46	in	in	ADP
esrj-113518	184	47	the	the	DET
esrj-113518	184	48	dataset	dataset	NOUN
esrj-113518	184	49	.	.	PUNCT
esrj-113518	185	1	it	it	PRON
esrj-113518	185	2	is	be	AUX
esrj-113518	185	3	defined	define	VERB
esrj-113518	185	4	as	as	ADP
esrj-113518	185	5	:	:	PUNCT
esrj-113518	185	6	recall	recall	NOUN
esrj-113518	185	7	=	=	SYM
esrj-113518	185	8	(	(	PUNCT
esrj-113518	185	9	true	true	ADJ
esrj-113518	185	10	positives	positive	NOUN
esrj-113518	185	11	)	)	PUNCT
esrj-113518	185	12	/	/	SYM
esrj-113518	185	13	(	(	PUNCT
esrj-113518	185	14	true	true	ADJ
esrj-113518	185	15	positives	positive	NOUN
esrj-113518	185	16	+	+	CCONJ
esrj-113518	185	17	false	false	ADJ
esrj-113518	185	18	negatives	negative	NOUN
esrj-113518	185	19	)	)	PUNCT
esrj-113518	185	20	the	the	DET
esrj-113518	185	21	f1	f1	PROPN
esrj-113518	185	22	score	score	NOUN
esrj-113518	185	23	is	be	AUX
esrj-113518	185	24	the	the	DET
esrj-113518	185	25	harmonic	harmonic	ADJ
esrj-113518	185	26	mean	mean	NOUN
esrj-113518	185	27	of	of	ADP
esrj-113518	185	28	precision	precision	NOUN
esrj-113518	185	29	and	and	CCONJ
esrj-113518	185	30	recall	recall	NOUN
esrj-113518	185	31	,	,	PUNCT
esrj-113518	185	32	and	and	CCONJ
esrj-113518	185	33	is	be	AUX
esrj-113518	185	34	often	often	ADV
esrj-113518	185	35	used	use	VERB
esrj-113518	185	36	as	as	ADP
esrj-113518	185	37	a	a	DET
esrj-113518	185	38	single	single	ADJ
esrj-113518	185	39	performance	performance	NOUN
esrj-113518	185	40	metric	metric	NOUN
esrj-113518	185	41	that	that	PRON
esrj-113518	185	42	combines	combine	VERB
esrj-113518	185	43	both	both	DET
esrj-113518	185	44	measures	measure	NOUN
esrj-113518	185	45	.	.	PUNCT
esrj-113518	186	1	it	it	PRON
esrj-113518	186	2	is	be	AUX
esrj-113518	186	3	defined	define	VERB
esrj-113518	186	4	as	as	ADP
esrj-113518	186	5	:	:	PUNCT
esrj-113518	186	6	f1	f1	NOUN
esrj-113518	186	7	score	score	NOUN
esrj-113518	186	8	=	=	SYM
esrj-113518	186	9	2	2	X
esrj-113518	186	10	*	*	PUNCT
esrj-113518	186	11	(	(	PUNCT
esrj-113518	186	12	(	(	PUNCT
esrj-113518	186	13	precision	precision	NOUN
esrj-113518	186	14	*	*	PUNCT
esrj-113518	186	15	recall	recall	NOUN
esrj-113518	186	16	)	)	PUNCT
esrj-113518	186	17	/	/	PUNCT
esrj-113518	187	1	(	(	PUNCT
esrj-113518	187	2	precision	precision	NOUN
esrj-113518	187	3	+	+	CCONJ
esrj-113518	187	4	recall	recall	NOUN
esrj-113518	187	5	)	)	PUNCT
esrj-113518	187	6	)	)	PUNCT
esrj-113518	188	1	4	4	X
esrj-113518	188	2	.	.	NOUN
esrj-113518	188	3	results	result	NOUN
esrj-113518	188	4	and	and	CCONJ
esrj-113518	188	5	discussion	discussion	NOUN
esrj-113518	188	6	initially	initially	ADV
esrj-113518	188	7	the	the	DET
esrj-113518	188	8	experimentation	experimentation	NOUN
esrj-113518	188	9	was	be	AUX
esrj-113518	188	10	performed	perform	VERB
esrj-113518	188	11	on	on	ADP
esrj-113518	188	12	the	the	DET
esrj-113518	188	13	base	base	NOUN
esrj-113518	188	14	level	level	NOUN
esrj-113518	188	15	alex	alex	PROPN
esrj-113518	188	16	net	net	PROPN
esrj-113518	188	17	,	,	PUNCT
esrj-113518	188	18	vgg16	vgg16	PROPN
esrj-113518	188	19	,	,	PUNCT
esrj-113518	188	20	resnet50	resnet50	NOUN
esrj-113518	188	21	and	and	CCONJ
esrj-113518	188	22	efficient	efficient	ADJ
esrj-113518	188	23	-	-	PUNCT
esrj-113518	188	24	net	net	NOUN
esrj-113518	188	25	-	-	PUNCT
esrj-113518	188	26	b0	b0	NOUN
esrj-113518	188	27	models	model	NOUN
esrj-113518	188	28	and	and	CCONJ
esrj-113518	188	29	then	then	ADV
esrj-113518	188	30	with	with	ADP
esrj-113518	188	31	proposed	propose	VERB
esrj-113518	188	32	changes	change	NOUN
esrj-113518	188	33	the	the	DET
esrj-113518	188	34	models	model	NOUN
esrj-113518	188	35	were	be	AUX
esrj-113518	188	36	tested	test	VERB
esrj-113518	188	37	again	again	ADV
esrj-113518	188	38	using	use	VERB
esrj-113518	188	39	same	same	ADJ
esrj-113518	188	40	datasets	dataset	NOUN
esrj-113518	188	41	.	.	PUNCT
esrj-113518	189	1	it	it	PRON
esrj-113518	189	2	has	have	AUX
esrj-113518	189	3	noticed	notice	VERB
esrj-113518	189	4	that	that	SCONJ
esrj-113518	189	5	with	with	ADP
esrj-113518	189	6	transfer	transfer	NOUN
esrj-113518	189	7	learning	learning	NOUN
esrj-113518	189	8	and	and	CCONJ
esrj-113518	189	9	minor	minor	ADJ
esrj-113518	189	10	parameter	parameter	NOUN
esrj-113518	189	11	tuning	tuning	NOUN
esrj-113518	189	12	we	we	PRON
esrj-113518	189	13	can	can	AUX
esrj-113518	189	14	achieve	achieve	VERB
esrj-113518	189	15	higher	high	ADJ
esrj-113518	189	16	accuracy	accuracy	NOUN
esrj-113518	189	17	.	.	PUNCT
esrj-113518	190	1	then	then	ADV
esrj-113518	190	2	the	the	DET
esrj-113518	190	3	same	same	ADJ
esrj-113518	190	4	experimentation	experimentation	NOUN
esrj-113518	190	5	was	be	AUX
esrj-113518	190	6	performed	perform	VERB
esrj-113518	190	7	on	on	ADP
esrj-113518	190	8	proposed	propose	VERB
esrj-113518	190	9	models	model	NOUN
esrj-113518	190	10	using	use	VERB
esrj-113518	190	11	two	two	NUM
esrj-113518	190	12	same	same	ADJ
esrj-113518	190	13	datasets	dataset	NOUN
esrj-113518	190	14	with	with	ADP
esrj-113518	190	15	2	2	NUM
esrj-113518	190	16	different	different	ADJ
esrj-113518	190	17	epochs	epoch	NOUN
esrj-113518	190	18	.	.	PUNCT
esrj-113518	191	1	table	table	NOUN
esrj-113518	191	2	6	6	NUM
esrj-113518	191	3	shows	show	VERB
esrj-113518	191	4	the	the	DET
esrj-113518	191	5	accuracies	accuracy	NOUN
esrj-113518	191	6	of	of	ADP
esrj-113518	191	7	cnn	cnn	PROPN
esrj-113518	191	8	models	model	NOUN
esrj-113518	191	9	.	.	PUNCT
esrj-113518	192	1	it	it	PRON
esrj-113518	192	2	can	can	AUX
esrj-113518	192	3	clearly	clearly	ADV
esrj-113518	192	4	be	be	AUX
esrj-113518	192	5	seen	see	VERB
esrj-113518	192	6	that	that	SCONJ
esrj-113518	192	7	proposed	propose	VERB
esrj-113518	192	8	resnet50	resnet50	NOUN
esrj-113518	192	9	performs	perform	VERB
esrj-113518	192	10	best	good	ADJ
esrj-113518	192	11	when	when	SCONJ
esrj-113518	192	12	the	the	DET
esrj-113518	192	13	dataset	dataset	NOUN
esrj-113518	192	14	is	be	AUX
esrj-113518	192	15	small	small	ADJ
esrj-113518	192	16	and	and	CCONJ
esrj-113518	192	17	we	we	PRON
esrj-113518	192	18	are	be	AUX
esrj-113518	192	19	training	train	VERB
esrj-113518	192	20	our	our	PRON
esrj-113518	192	21	model	model	NOUN
esrj-113518	192	22	with	with	ADP
esrj-113518	192	23	less	less	ADJ
esrj-113518	192	24	epochs	epoch	NOUN
esrj-113518	192	25	,	,	PUNCT
esrj-113518	192	26	on	on	ADP
esrj-113518	192	27	aid	aid	NOUN
esrj-113518	192	28	dataset	dataset	VERB
esrj-113518	192	29	the	the	DET
esrj-113518	192	30	accuracy	accuracy	NOUN
esrj-113518	192	31	of	of	ADP
esrj-113518	192	32	proposed	propose	VERB
esrj-113518	192	33	resnet50	resnet50	NOUN
esrj-113518	192	34	is	be	AUX
esrj-113518	192	35	97.67	97.67	NUM
esrj-113518	192	36	%	%	NOUN
esrj-113518	192	37	when	when	SCONJ
esrj-113518	192	38	epochs	epoch	NOUN
esrj-113518	192	39	were	be	AUX
esrj-113518	192	40	set	set	VERB
esrj-113518	192	41	to	to	ADP
esrj-113518	192	42	30	30	NUM
esrj-113518	192	43	.	.	PUNCT
esrj-113518	193	1	the	the	DET
esrj-113518	193	2	training	training	NOUN
esrj-113518	193	3	and	and	CCONJ
esrj-113518	193	4	testing	testing	NOUN
esrj-113518	193	5	ratio	ratio	NOUN
esrj-113518	193	6	was	be	AUX
esrj-113518	193	7	kept	keep	VERB
esrj-113518	193	8	same	same	ADJ
esrj-113518	193	9	for	for	ADP
esrj-113518	193	10	all	all	DET
esrj-113518	193	11	the	the	DET
esrj-113518	193	12	experimentation	experimentation	NOUN
esrj-113518	193	13	’s	’	VERB
esrj-113518	193	14	that	that	PRON
esrj-113518	193	15	is	be	AUX
esrj-113518	193	16	70:30	70:30	NUM
esrj-113518	193	17	.	.	PUNCT
esrj-113518	194	1	efficient	efficient	ADJ
esrj-113518	194	2	-	-	PUNCT
esrj-113518	194	3	net	net	NOUN
esrj-113518	194	4	-	-	PUNCT
esrj-113518	194	5	b0	b0	NOUN
esrj-113518	194	6	showed	show	VERB
esrj-113518	194	7	good	good	ADJ
esrj-113518	194	8	results	result	NOUN
esrj-113518	194	9	for	for	ADP
esrj-113518	194	10	aid	aid	NOUN
esrj-113518	194	11	dataset	dataset	NOUN
esrj-113518	194	12	for	for	ADP
esrj-113518	194	13	20	20	NUM
esrj-113518	194	14	epochs	epoch	NOUN
esrj-113518	194	15	,	,	PUNCT
esrj-113518	194	16	the	the	DET
esrj-113518	194	17	accuracy	accuracy	NOUN
esrj-113518	194	18	is	be	AUX
esrj-113518	194	19	observed	observe	VERB
esrj-113518	194	20	as	as	ADP
esrj-113518	194	21	93.73	93.73	NUM
esrj-113518	194	22	%	%	NOUN
esrj-113518	194	23	,	,	PUNCT
esrj-113518	194	24	whereas	whereas	SCONJ
esrj-113518	194	25	when	when	SCONJ
esrj-113518	194	26	epochs	epoch	NOUN
esrj-113518	194	27	were	be	AUX
esrj-113518	194	28	increased	increase	VERB
esrj-113518	194	29	to	to	ADP
esrj-113518	194	30	30	30	NUM
esrj-113518	194	31	.	.	PUNCT
esrj-113518	195	1	aider	aider	NOUN
esrj-113518	195	2	dataset	dataset	PROPN
esrj-113518	195	3	showed	show	VERB
esrj-113518	195	4	better	well	ADJ
esrj-113518	195	5	results	result	NOUN
esrj-113518	195	6	,	,	PUNCT
esrj-113518	195	7	the	the	DET
esrj-113518	195	8	accuracy	accuracy	NOUN
esrj-113518	195	9	observed	observe	VERB
esrj-113518	195	10	was	be	AUX
esrj-113518	195	11	95.29	95.29	NUM
esrj-113518	195	12	%	%	NOUN
esrj-113518	195	13	.	.	PUNCT
esrj-113518	196	1	the	the	DET
esrj-113518	196	2	results	result	NOUN
esrj-113518	196	3	of	of	ADP
esrj-113518	196	4	proposed	propose	VERB
esrj-113518	196	5	four	four	NUM
esrj-113518	196	6	models	model	NOUN
esrj-113518	196	7	were	be	AUX
esrj-113518	196	8	also	also	ADV
esrj-113518	196	9	compared	compare	VERB
esrj-113518	196	10	with	with	ADP
esrj-113518	196	11	the	the	DET
esrj-113518	196	12	results	result	NOUN
esrj-113518	196	13	of	of	ADP
esrj-113518	196	14	all	all	DET
esrj-113518	196	15	the	the	DET
esrj-113518	196	16	four	four	NUM
esrj-113518	196	17	base	base	NOUN
esrj-113518	196	18	models	model	NOUN
esrj-113518	196	19	.	.	PUNCT
esrj-113518	197	1	the	the	DET
esrj-113518	197	2	table	table	NOUN
esrj-113518	197	3	7shows	7show	VERB
esrj-113518	197	4	the	the	DET
esrj-113518	197	5	details	detail	NOUN
esrj-113518	197	6	.	.	PUNCT
esrj-113518	198	1	our	our	PRON
esrj-113518	198	2	results	result	NOUN
esrj-113518	198	3	of	of	ADP
esrj-113518	198	4	aid	aid	NOUN
esrj-113518	198	5	dataset	dataset	NOUN
esrj-113518	198	6	were	be	AUX
esrj-113518	198	7	then	then	ADV
esrj-113518	198	8	compared	compare	VERB
esrj-113518	198	9	with	with	ADP
esrj-113518	198	10	the	the	DET
esrj-113518	198	11	results	result	NOUN
esrj-113518	198	12	of	of	ADP
esrj-113518	198	13	published	publish	VERB
esrj-113518	198	14	data	datum	NOUN
esrj-113518	198	15	and	and	CCONJ
esrj-113518	198	16	have	have	AUX
esrj-113518	198	17	seen	see	VERB
esrj-113518	198	18	that	that	SCONJ
esrj-113518	198	19	with	with	ADP
esrj-113518	198	20	the	the	DET
esrj-113518	198	21	above	above	ADV
esrj-113518	198	22	-	-	PUNCT
esrj-113518	198	23	mentioned	mention	VERB
esrj-113518	198	24	network	network	NOUN
esrj-113518	198	25	surgery	surgery	NOUN
esrj-113518	198	26	and	and	CCONJ
esrj-113518	198	27	tweaking	tweaking	NOUN
esrj-113518	198	28	of	of	ADP
esrj-113518	198	29	parameters	parameter	NOUN
esrj-113518	198	30	and	and	CCONJ
esrj-113518	198	31	hyper	hyper	NOUN
esrj-113518	198	32	-	-	NOUN
esrj-113518	198	33	parameters	parameter	NOUN
esrj-113518	198	34	we	we	PRON
esrj-113518	198	35	can	can	AUX
esrj-113518	198	36	get	get	VERB
esrj-113518	198	37	better	well	ADJ
esrj-113518	198	38	results	result	NOUN
esrj-113518	198	39	with	with	ADP
esrj-113518	198	40	the	the	DET
esrj-113518	198	41	help	help	NOUN
esrj-113518	198	42	of	of	ADP
esrj-113518	198	43	conventional	conventional	ADJ
esrj-113518	198	44	models	model	NOUN
esrj-113518	198	45	.	.	PUNCT
esrj-113518	199	1	our	our	PRON
esrj-113518	199	2	proposed	propose	VERB
esrj-113518	199	3	model	model	NOUN
esrj-113518	199	4	was	be	AUX
esrj-113518	199	5	compared	compare	VERB
esrj-113518	199	6	with	with	ADP
esrj-113518	199	7	the	the	DET
esrj-113518	199	8	different	different	ADJ
esrj-113518	199	9	published	publish	VERB
esrj-113518	199	10	researches	research	NOUN
esrj-113518	199	11	,	,	PUNCT
esrj-113518	199	12	where	where	SCONJ
esrj-113518	199	13	they	they	PRON
esrj-113518	199	14	have	have	AUX
esrj-113518	199	15	also	also	ADV
esrj-113518	199	16	used	use	VERB
esrj-113518	199	17	aid	aid	NOUN
esrj-113518	199	18	dataset	dataset	NOUN
esrj-113518	199	19	.	.	PUNCT
esrj-113518	200	1	in	in	ADP
esrj-113518	200	2	(	(	PUNCT
esrj-113518	200	3	huang	huang	PROPN
esrj-113518	200	4	et	et	PROPN
esrj-113518	200	5	al	al	PROPN
esrj-113518	200	6	.	.	PROPN
esrj-113518	200	7	,	,	PUNCT
esrj-113518	200	8	2017	2017	NUM
esrj-113518	200	9	)	)	PUNCT
esrj-113518	200	10	google	google	PROPN
esrj-113518	200	11	net	net	ADJ
esrj-113518	200	12	model	model	NOUN
esrj-113518	200	13	was	be	AUX
esrj-113518	200	14	used	use	VERB
esrj-113518	200	15	for	for	ADP
esrj-113518	200	16	experimentation	experimentation	NOUN
esrj-113518	200	17	and	and	CCONJ
esrj-113518	200	18	they	they	PRON
esrj-113518	200	19	claimed	claim	VERB
esrj-113518	200	20	accuracy	accuracy	NOUN
esrj-113518	200	21	as	as	ADP
esrj-113518	200	22	88.15	88.15	NUM
esrj-113518	200	23	%	%	NOUN
esrj-113518	200	24	.	.	PUNCT
esrj-113518	201	1	the	the	DET
esrj-113518	201	2	accuracy	accuracy	NOUN
esrj-113518	201	3	mentioned	mention	VERB
esrj-113518	201	4	in(k	in(k	VERB
esrj-113518	201	5	.	.	PUNCT
esrj-113518	202	1	he	he	PRON
esrj-113518	202	2	,	,	PUNCT
esrj-113518	202	3	zhang	zhang	PROPN
esrj-113518	202	4	,	,	PUNCT
esrj-113518	202	5	ren	ren	PROPN
esrj-113518	202	6	,	,	PUNCT
esrj-113518	202	7	&	&	CCONJ
esrj-113518	202	8	sun	sun	PROPN
esrj-113518	202	9	,	,	PUNCT
esrj-113518	202	10	2016	2016	NUM
esrj-113518	202	11	)	)	PUNCT
esrj-113518	202	12	is	be	AUX
esrj-113518	202	13	89.03	89.03	NUM
esrj-113518	202	14	%	%	NOUN
esrj-113518	202	15	using	use	VERB
esrj-113518	202	16	inception	inception	ADJ
esrj-113518	202	17	net	net	ADJ
esrj-113518	202	18	v3	v3	PROPN
esrj-113518	202	19	model	model	NOUN
esrj-113518	202	20	.	.	PUNCT
esrj-113518	203	1	other	other	ADJ
esrj-113518	203	2	models	model	NOUN
esrj-113518	203	3	from	from	ADP
esrj-113518	203	4	different	different	ADJ
esrj-113518	203	5	published	publish	VERB
esrj-113518	203	6	researches	research	NOUN
esrj-113518	203	7	like	like	ADP
esrj-113518	203	8	;	;	PUNCT
esrj-113518	203	9	resnet50	resnet50	NOUN
esrj-113518	203	10	,	,	PUNCT
esrj-113518	203	11	dense	dense	ADJ
esrj-113518	203	12	net	net	NOUN
esrj-113518	203	13	,	,	PUNCT
esrj-113518	203	14	mobile	mobile	ADJ
esrj-113518	203	15	net	net	ADJ
esrj-113518	203	16	v2	v2	PROPN
esrj-113518	203	17	were	be	AUX
esrj-113518	203	18	also	also	ADV
esrj-113518	203	19	validated	validate	VERB
esrj-113518	203	20	with	with	ADP
esrj-113518	203	21	our	our	PRON
esrj-113518	203	22	proposed	propose	VERB
esrj-113518	203	23	model	model	NOUN
esrj-113518	203	24	.	.	PUNCT
esrj-113518	204	1	as	as	SCONJ
esrj-113518	204	2	compared	compare	VERB
esrj-113518	204	3	to	to	ADP
esrj-113518	204	4	published	publish	VERB
esrj-113518	204	5	research	research	NOUN
esrj-113518	204	6	where	where	SCONJ
esrj-113518	204	7	a	a	DET
esrj-113518	204	8	new	new	ADJ
esrj-113518	204	9	cnn	cnn	NOUN
esrj-113518	204	10	model	model	NOUN
esrj-113518	204	11	is	be	AUX
esrj-113518	204	12	proposed	propose	VERB
esrj-113518	204	13	and	and	CCONJ
esrj-113518	204	14	aid	aid	NOUN
esrj-113518	204	15	dataset	dataset	NOUN
esrj-113518	204	16	was	be	AUX
esrj-113518	204	17	used	use	VERB
esrj-113518	204	18	for	for	ADP
esrj-113518	204	19	experimentation	experimentation	NOUN
esrj-113518	204	20	.	.	PUNCT
esrj-113518	205	1	the	the	DET
esrj-113518	205	2	accuracy	accuracy	NOUN
esrj-113518	205	3	of	of	ADP
esrj-113518	205	4	this	this	DET
esrj-113518	205	5	proposed	propose	VERB
esrj-113518	205	6	model	model	NOUN
esrj-113518	205	7	is	be	AUX
esrj-113518	205	8	96.10	96.10	NUM
esrj-113518	205	9	%	%	NOUN
esrj-113518	205	10	(	(	PUNCT
esrj-113518	205	11	broni	broni	NOUN
esrj-113518	205	12	-	-	PUNCT
esrj-113518	205	13	bediako	bediako	ADJ
esrj-113518	205	14	,	,	PUNCT
esrj-113518	205	15	murata	murata	PROPN
esrj-113518	205	16	,	,	PUNCT
esrj-113518	205	17	mormille	mormille	NOUN
esrj-113518	205	18	,	,	PUNCT
esrj-113518	205	19	&	&	CCONJ
esrj-113518	205	20	atsumi	atsumi	PROPN
esrj-113518	205	21	,	,	PUNCT
esrj-113518	205	22	2021	2021	NUM
esrj-113518	205	23	)	)	PUNCT
esrj-113518	205	24	whereas	whereas	SCONJ
esrj-113518	205	25	our	our	PRON
esrj-113518	205	26	model	model	NOUN
esrj-113518	205	27	performs	perform	VERB
esrj-113518	205	28	better	well	ADV
esrj-113518	205	29	as	as	SCONJ
esrj-113518	205	30	it	it	PRON
esrj-113518	205	31	gives	give	VERB
esrj-113518	205	32	accuracy	accuracy	NOUN
esrj-113518	205	33	as	as	ADP
esrj-113518	205	34	97.61	97.61	NUM
esrj-113518	205	35	%	%	NOUN
esrj-113518	205	36	.	.	PUNCT
esrj-113518	206	1	table	table	NOUN
esrj-113518	206	2	8	8	NUM
esrj-113518	206	3	shows	show	VERB
esrj-113518	206	4	the	the	DET
esrj-113518	206	5	comparison	comparison	NOUN
esrj-113518	206	6	of	of	ADP
esrj-113518	206	7	all	all	DET
esrj-113518	206	8	the	the	DET
esrj-113518	206	9	above	above	ADV
esrj-113518	206	10	-	-	PUNCT
esrj-113518	206	11	mentioned	mention	VERB
esrj-113518	206	12	models	model	NOUN
esrj-113518	206	13	already	already	ADV
esrj-113518	206	14	published	publish	VERB
esrj-113518	206	15	in	in	ADP
esrj-113518	206	16	recent	recent	ADJ
esrj-113518	206	17	years	year	NOUN
esrj-113518	206	18	.	.	PUNCT
esrj-113518	207	1	a	a	DET
esrj-113518	207	2	quantitative	quantitative	ADJ
esrj-113518	207	3	comparison	comparison	NOUN
esrj-113518	207	4	is	be	AUX
esrj-113518	207	5	shown	show	VERB
esrj-113518	207	6	in	in	ADP
esrj-113518	207	7	table	table	NOUN
esrj-113518	207	8	9	9	NUM
esrj-113518	207	9	,	,	PUNCT
esrj-113518	207	10	with	with	ADP
esrj-113518	207	11	recently	recently	ADV
esrj-113518	207	12	published	publish	VERB
esrj-113518	207	13	research	research	NOUN
esrj-113518	207	14	in	in	ADP
esrj-113518	207	15	terms	term	NOUN
esrj-113518	207	16	classification	classification	NOUN
esrj-113518	207	17	accuracy	accuracy	NOUN
esrj-113518	207	18	for	for	ADP
esrj-113518	207	19	aider	aider	NOUN
esrj-113518	207	20	image	image	NOUN
esrj-113518	207	21	benchmark	benchmark	NOUN
esrj-113518	207	22	with	with	ADP
esrj-113518	207	23	6000	6000	NUM
esrj-113518	207	24	images	image	NOUN
esrj-113518	207	25	.	.	PUNCT
esrj-113518	208	1	whereas	whereas	SCONJ
esrj-113518	208	2	,	,	PUNCT
esrj-113518	208	3	the	the	DET
esrj-113518	208	4	published	publish	VERB
esrj-113518	208	5	results	result	NOUN
esrj-113518	208	6	are	be	AUX
esrj-113518	208	7	for	for	ADP
esrj-113518	208	8	aider	aider	NOUN
esrj-113518	208	9	dataset	dataset	NOUN
esrj-113518	208	10	with	with	ADP
esrj-113518	208	11	8540	8540	NUM
esrj-113518	208	12	total	total	ADJ
esrj-113518	208	13	samples	sample	NOUN
esrj-113518	208	14	.	.	PUNCT
esrj-113518	209	1	results	result	NOUN
esrj-113518	209	2	of	of	ADP
esrj-113518	209	3	our	our	PRON
esrj-113518	209	4	proposed	propose	VERB
esrj-113518	209	5	model	model	NOUN
esrj-113518	209	6	were	be	AUX
esrj-113518	209	7	compared	compare	VERB
esrj-113518	209	8	with	with	ADP
esrj-113518	209	9	different	different	ADJ
esrj-113518	209	10	published	publish	VERB
esrj-113518	209	11	models	model	NOUN
esrj-113518	209	12	like	like	ADP
esrj-113518	209	13	er	er	INTJ
esrj-113518	209	14	-	-	PUNCT
esrj-113518	209	15	net	net	NOUN
esrj-113518	209	16	,	,	PUNCT
esrj-113518	209	17	vgg16	vgg16	NOUN
esrj-113518	209	18	,	,	PUNCT
esrj-113518	209	19	resnet50	resnet50	NOUN
esrj-113518	209	20	,	,	PUNCT
esrj-113518	209	21	mobile	mobile	ADJ
esrj-113518	209	22	net	net	NOUN
esrj-113518	209	23	,	,	PUNCT
esrj-113518	209	24	aiscc	aiscc	VERB
esrj-113518	209	25	where	where	SCONJ
esrj-113518	209	26	accuracy	accuracy	NOUN
esrj-113518	209	27	mentioned	mention	VERB
esrj-113518	209	28	were	be	AUX
esrj-113518	209	29	90.16	90.16	NUM
esrj-113518	209	30	%	%	NOUN
esrj-113518	209	31	,	,	PUNCT
esrj-113518	209	32	91.25	91.25	NUM
esrj-113518	209	33	%	%	NOUN
esrj-113518	209	34	,	,	PUNCT
esrj-113518	209	35	89.61	89.61	NUM
esrj-113518	209	36	%	%	NOUN
esrj-113518	209	37	,	,	PUNCT
esrj-113518	209	38	88.55	88.55	NUM
esrj-113518	209	39	%	%	NOUN
esrj-113518	209	40	,	,	PUNCT
esrj-113518	209	41	95.24	95.24	NUM
esrj-113518	209	42	%	%	NOUN
esrj-113518	209	43	respectively	respectively	ADV
esrj-113518	209	44	while	while	SCONJ
esrj-113518	209	45	the	the	DET
esrj-113518	209	46	currently	currently	ADV
esrj-113518	209	47	proposed	propose	VERB
esrj-113518	209	48	model	model	NOUN
esrj-113518	209	49	claims	claim	VERB
esrj-113518	209	50	to	to	PART
esrj-113518	209	51	have	have	VERB
esrj-113518	209	52	accuracy	accuracy	NOUN
esrj-113518	209	53	as	as	ADP
esrj-113518	209	54	95.75	95.75	NUM
esrj-113518	209	55	%	%	NOUN
esrj-113518	209	56	for	for	ADP
esrj-113518	209	57	aider	aider	NOUN
esrj-113518	209	58	dataset	dataset	NOUN
esrj-113518	209	59	.	.	PUNCT
esrj-113518	210	1	table	table	NOUN
esrj-113518	210	2	6	6	NUM
esrj-113518	210	3	.	.	PUNCT
esrj-113518	211	1	overall	overall	ADJ
esrj-113518	211	2	accuracy	accuracy	NOUN
esrj-113518	211	3	of	of	ADP
esrj-113518	211	4	all	all	DET
esrj-113518	211	5	the	the	DET
esrj-113518	211	6	four	four	NUM
esrj-113518	211	7	models	model	NOUN
esrj-113518	211	8	on	on	ADP
esrj-113518	211	9	selected	select	VERB
esrj-113518	211	10	aerial	aerial	ADJ
esrj-113518	211	11	image	image	NOUN
esrj-113518	211	12	datasets	dataset	NOUN
esrj-113518	211	13	where	where	SCONJ
esrj-113518	211	14	training	training	NOUN
esrj-113518	211	15	testing	testing	NOUN
esrj-113518	211	16	ratio	ratio	NOUN
esrj-113518	211	17	was	be	AUX
esrj-113518	211	18	kept	keep	VERB
esrj-113518	211	19	same	same	ADJ
esrj-113518	211	20	as	as	ADP
esrj-113518	211	21	70:30	70:30	NUM
esrj-113518	211	22	cnn	cnn	PROPN
esrj-113518	211	23	models	model	NOUN
esrj-113518	211	24	resnet50	resnet50	PROPN
esrj-113518	211	25	alex	alex	PROPN
esrj-113518	211	26	net	net	PROPN
esrj-113518	211	27	vgg16	vgg16	PROPN
esrj-113518	211	28	efficient	efficient	ADJ
esrj-113518	211	29	net	net	NOUN
esrj-113518	211	30	b0	b0	NOUN
esrj-113518	211	31	epochs	epoch	NOUN
esrj-113518	211	32	20	20	NUM
esrj-113518	211	33	30	30	NUM
esrj-113518	211	34	20	20	NUM
esrj-113518	211	35	30	30	NUM
esrj-113518	211	36	20	20	NUM
esrj-113518	211	37	30	30	NUM
esrj-113518	211	38	20	20	NUM
esrj-113518	211	39	30	30	NUM
esrj-113518	211	40	aid	aid	NOUN
esrj-113518	211	41	96.76	96.76	NUM
esrj-113518	211	42	%	%	NOUN
esrj-113518	211	43	97.61	97.61	NUM
esrj-113518	211	44	%	%	NOUN
esrj-113518	211	45	91.83	91.83	NUM
esrj-113518	211	46	%	%	NOUN
esrj-113518	211	47	91.88	91.88	NUM
esrj-113518	211	48	%	%	NOUN
esrj-113518	211	49	94.70	94.70	NUM
esrj-113518	211	50	%	%	NOUN
esrj-113518	211	51	94.72	94.72	NUM
esrj-113518	211	52	93.73	93.73	NUM
esrj-113518	211	53	%	%	NOUN
esrj-113518	211	54	93.70	93.70	NUM
esrj-113518	211	55	%	%	NOUN
esrj-113518	211	56	aider	aider	NOUN
esrj-113518	211	57	94.52	94.52	NUM
esrj-113518	211	58	%	%	NOUN
esrj-113518	211	59	95.75	95.75	NUM
esrj-113518	211	60	%	%	NOUN
esrj-113518	211	61	90.69	90.69	NUM
esrj-113518	211	62	%	%	NOUN
esrj-113518	211	63	90.72	90.72	NUM
esrj-113518	211	64	%	%	NOUN
esrj-113518	211	65	90.69	90.69	NUM
esrj-113518	211	66	%	%	NOUN
esrj-113518	211	67	90.84	90.84	NUM
esrj-113518	211	68	%	%	NOUN
esrj-113518	211	69	91.24	91.24	NUM
esrj-113518	211	70	%	%	NOUN
esrj-113518	211	71	95.29	95.29	NUM
esrj-113518	211	72	%	%	NOUN
esrj-113518	211	73	table	table	NOUN
esrj-113518	211	74	7	7	NUM
esrj-113518	211	75	.	.	PUNCT
esrj-113518	211	76	comparison	comparison	NOUN
esrj-113518	211	77	of	of	ADP
esrj-113518	211	78	accuracy	accuracy	NOUN
esrj-113518	211	79	of	of	ADP
esrj-113518	211	80	base	base	NOUN
esrj-113518	211	81	models	model	NOUN
esrj-113518	211	82	with	with	ADP
esrj-113518	211	83	proposed	propose	VERB
esrj-113518	211	84	models	model	NOUN
esrj-113518	211	85	scheme-1	scheme-1	PRON
esrj-113518	211	86	datasets	dataset	NOUN
esrj-113518	211	87	scheme-2	scheme-2	PUNCT
esrj-113518	211	88	datasets	dataset	VERB
esrj-113518	211	89	cnn	cnn	PROPN
esrj-113518	211	90	model	model	PROPN
esrj-113518	211	91	aid	aid	NOUN
esrj-113518	211	92	aider	aider	NOUN
esrj-113518	211	93	cnn	cnn	PROPN
esrj-113518	211	94	models	model	NOUN
esrj-113518	211	95	aid	aid	NOUN
esrj-113518	211	96	aider	aider	NOUN
esrj-113518	211	97	alex	alex	PROPN
esrj-113518	211	98	net	net	ADJ
esrj-113518	211	99	85.60	85.60	NUM
esrj-113518	211	100	%	%	NOUN
esrj-113518	211	101	80.32	80.32	NUM
esrj-113518	211	102	%	%	NOUN
esrj-113518	211	103	alex	alex	PROPN
esrj-113518	211	104	net	net	NOUN
esrj-113518	211	105	91.88	91.88	NUM
esrj-113518	211	106	%	%	NOUN
esrj-113518	211	107	90.72	90.72	NUM
esrj-113518	211	108	%	%	NOUN
esrj-113518	211	109	vgg16	vgg16	NOUN
esrj-113518	211	110	89.64	89.64	NUM
esrj-113518	211	111	%	%	NOUN
esrj-113518	211	112	82.20	82.20	NUM
esrj-113518	211	113	%	%	NOUN
esrj-113518	211	114	vgg16	vgg16	NOUN
esrj-113518	211	115	94.72	94.72	NUM
esrj-113518	211	116	%	%	NOUN
esrj-113518	211	117	90.84	90.84	NUM
esrj-113518	211	118	%	%	NOUN
esrj-113518	211	119	resnet50	resnet50	NOUN
esrj-113518	211	120	94.03	94.03	NUM
esrj-113518	211	121	%	%	NOUN
esrj-113518	211	122	91.03	91.03	NUM
esrj-113518	211	123	%	%	NOUN
esrj-113518	211	124	resnet50	resnet50	NOUN
esrj-113518	211	125	97.61	97.61	NUM
esrj-113518	211	126	%	%	NOUN
esrj-113518	211	127	95.71	95.71	NUM
esrj-113518	211	128	%	%	NOUN
esrj-113518	211	129	efficient	efficient	ADJ
esrj-113518	211	130	net	net	NOUN
esrj-113518	211	131	b0	b0	PROPN
esrj-113518	211	132	93.43	93.43	NUM
esrj-113518	211	133	%	%	NOUN
esrj-113518	211	134	84.04	84.04	NUM
esrj-113518	211	135	%	%	NOUN
esrj-113518	211	136	efficient	efficient	ADJ
esrj-113518	211	137	net	net	NOUN
esrj-113518	211	138	b0	b0	PROPN
esrj-113518	211	139	93.70	93.70	NUM
esrj-113518	211	140	%	%	NOUN
esrj-113518	211	141	95.29	95.29	NUM
esrj-113518	211	142	%	%	NOUN
esrj-113518	211	143	415classification	415classification	PROPN
esrj-113518	211	144	of	of	ADP
esrj-113518	211	145	remote	remote	ADJ
esrj-113518	211	146	sensing	sense	VERB
esrj-113518	211	147	datasets	dataset	NOUN
esrj-113518	211	148	with	with	ADP
esrj-113518	211	149	different	different	ADJ
esrj-113518	211	150	deep	deep	ADJ
esrj-113518	211	151	learning	learning	NOUN
esrj-113518	211	152	architectures	architecture	NOUN
esrj-113518	211	153	table	table	VERB
esrj-113518	211	154	8	8	NUM
esrj-113518	211	155	.	.	PUNCT
esrj-113518	212	1	a	a	DET
esrj-113518	212	2	quantitative	quantitative	ADJ
esrj-113518	212	3	comparison	comparison	NOUN
esrj-113518	212	4	with	with	ADP
esrj-113518	212	5	recently	recently	ADV
esrj-113518	212	6	published	publish	VERB
esrj-113518	212	7	research	research	NOUN
esrj-113518	212	8	in	in	ADP
esrj-113518	212	9	terms	term	NOUN
esrj-113518	212	10	of	of	ADP
esrj-113518	212	11	classification	classification	NOUN
esrj-113518	212	12	accuracy	accuracy	NOUN
esrj-113518	212	13	for	for	ADP
esrj-113518	212	14	aid	aid	NOUN
esrj-113518	212	15	image	image	NOUN
esrj-113518	212	16	benchmark	benchmark	NOUN
esrj-113518	212	17	.	.	PUNCT
esrj-113518	213	1	model	model	NOUN
esrj-113518	213	2	accuracy	accuracy	PROPN
esrj-113518	213	3	google	google	PROPN
esrj-113518	213	4	net	net	PROPN
esrj-113518	213	5	(	(	PUNCT
esrj-113518	213	6	huang	huang	PROPN
esrj-113518	213	7	et	et	PROPN
esrj-113518	213	8	al	al	PROPN
esrj-113518	213	9	.	.	PROPN
esrj-113518	213	10	,	,	PUNCT
esrj-113518	213	11	2017	2017	NUM
esrj-113518	213	12	)	)	PUNCT
esrj-113518	213	13	88.15	88.15	NUM
esrj-113518	213	14	%	%	NOUN
esrj-113518	213	15	inception	inception	PROPN
esrj-113518	213	16	v3	v3	PROPN
esrj-113518	213	17	(	(	PUNCT
esrj-113518	213	18	k.	k.	NOUN
esrj-113518	213	19	he	he	PRON
esrj-113518	213	20	et	et	PROPN
esrj-113518	213	21	al	al	PROPN
esrj-113518	213	22	.	.	PROPN
esrj-113518	213	23	,	,	PUNCT
esrj-113518	213	24	2016	2016	NUM
esrj-113518	213	25	)	)	PUNCT
esrj-113518	213	26	89.03	89.03	NUM
esrj-113518	213	27	%	%	NOUN
esrj-113518	213	28	resnet-50	resnet-50	PROPN
esrj-113518	213	29	(	(	PUNCT
esrj-113518	213	30	szegedy	szegedy	VERB
esrj-113518	213	31	et	et	PROPN
esrj-113518	213	32	al	al	PROPN
esrj-113518	213	33	.	.	PROPN
esrj-113518	213	34	,	,	PUNCT
esrj-113518	213	35	2015	2015	NUM
esrj-113518	213	36	)	)	PUNCT
esrj-113518	213	37	88.10	88.10	NUM
esrj-113518	213	38	%	%	NOUN
esrj-113518	213	39	dense	dense	ADJ
esrj-113518	213	40	net	net	NOUN
esrj-113518	213	41	(	(	PUNCT
esrj-113518	213	42	szegedy	szegedy	PROPN
esrj-113518	213	43	,	,	PUNCT
esrj-113518	213	44	vanhoucke	vanhoucke	PROPN
esrj-113518	213	45	,	,	PUNCT
esrj-113518	213	46	ioffe	ioffe	PROPN
esrj-113518	213	47	,	,	PUNCT
esrj-113518	213	48	shlens	shlen	NOUN
esrj-113518	213	49	,	,	PUNCT
esrj-113518	213	50	&	&	CCONJ
esrj-113518	213	51	wojna	wojna	NOUN
esrj-113518	213	52	,	,	PUNCT
esrj-113518	213	53	2016	2016	NUM
esrj-113518	213	54	)	)	PUNCT
esrj-113518	213	55	87.50	87.50	NUM
esrj-113518	213	56	%	%	NOUN
esrj-113518	213	57	mobile	mobile	ADJ
esrj-113518	213	58	net	net	NOUN
esrj-113518	213	59	v2	v2	PROPN
esrj-113518	213	60	(	(	PUNCT
esrj-113518	213	61	sandler	sandler	NOUN
esrj-113518	213	62	,	,	PUNCT
esrj-113518	213	63	howard	howard	PROPN
esrj-113518	213	64	,	,	PUNCT
esrj-113518	213	65	zhu	zhu	PROPN
esrj-113518	213	66	,	,	PUNCT
esrj-113518	213	67	zhmoginov	zhmoginov	PROPN
esrj-113518	213	68	,	,	PUNCT
esrj-113518	213	69	&	&	CCONJ
esrj-113518	213	70	chen	chen	PROPN
esrj-113518	213	71	,	,	PUNCT
esrj-113518	213	72	2018	2018	NUM
esrj-113518	213	73	)	)	PUNCT
esrj-113518	213	74	89.33	89.33	NUM
esrj-113518	213	75	%	%	NOUN
esrj-113518	213	76	model	model	NOUN
esrj-113518	213	77	proposed	propose	VERB
esrj-113518	213	78	in	in	ADP
esrj-113518	213	79	(	(	PUNCT
esrj-113518	213	80	broni	broni	NOUN
esrj-113518	213	81	-	-	PUNCT
esrj-113518	213	82	bediako	bediako	NOUN
esrj-113518	213	83	et	et	PROPN
esrj-113518	213	84	al	al	PROPN
esrj-113518	213	85	.	.	PROPN
esrj-113518	213	86	,	,	PUNCT
esrj-113518	213	87	2021	2021	NUM
esrj-113518	213	88	)	)	PUNCT
esrj-113518	213	89	96.10	96.10	NUM
esrj-113518	213	90	%	%	NOUN
esrj-113518	213	91	scheme-2	scheme-2	PRON
esrj-113518	213	92	resnet50	resnet50	NOUN
esrj-113518	213	93	97.61	97.61	NUM
esrj-113518	213	94	%	%	NOUN
esrj-113518	213	95	%	%	NOUN
esrj-113518	213	96	table	table	NOUN
esrj-113518	213	97	9	9	NUM
esrj-113518	213	98	.	.	PUNCT
esrj-113518	214	1	a	a	DET
esrj-113518	214	2	quantitative	quantitative	ADJ
esrj-113518	214	3	comparison	comparison	NOUN
esrj-113518	214	4	with	with	ADP
esrj-113518	214	5	published	publish	VERB
esrj-113518	214	6	research	research	NOUN
esrj-113518	214	7	(	(	PUNCT
esrj-113518	214	8	alrayes	alrayes	PROPN
esrj-113518	214	9	,	,	PUNCT
esrj-113518	214	10	alotaibi	alotaibi	NOUN
esrj-113518	214	11	et	et	PROPN
esrj-113518	214	12	al	al	PROPN
esrj-113518	214	13	.	.	PROPN
esrj-113518	214	14	2022	2022	NUM
esrj-113518	214	15	)	)	PUNCT
esrj-113518	214	16	in	in	ADP
esrj-113518	214	17	terms	term	NOUN
esrj-113518	214	18	of	of	ADP
esrj-113518	214	19	classification	classification	NOUN
esrj-113518	214	20	accuracy	accuracy	NOUN
esrj-113518	214	21	for	for	ADP
esrj-113518	214	22	aider	aider	NOUN
esrj-113518	214	23	image	image	NOUN
esrj-113518	214	24	benchmark	benchmark	NOUN
esrj-113518	214	25	with	with	ADP
esrj-113518	214	26	6000	6000	NUM
esrj-113518	214	27	images	image	NOUN
esrj-113518	214	28	model	model	NOUN
esrj-113518	214	29	accuracy	accuracy	NOUN
esrj-113518	214	30	ernet	ernet	NOUN
esrj-113518	214	31	model	model	NOUN
esrj-113518	214	32	90.16	90.16	NUM
esrj-113518	214	33	%	%	NOUN
esrj-113518	214	34	vgg16	vgg16	NOUN
esrj-113518	214	35	model	model	NOUN
esrj-113518	214	36	91.25	91.25	NUM
esrj-113518	214	37	%	%	NOUN
esrj-113518	214	38	resnet50	resnet50	NOUN
esrj-113518	214	39	model	model	NOUN
esrj-113518	214	40	89.61	89.61	NUM
esrj-113518	214	41	%	%	NOUN
esrj-113518	214	42	mobilenet	mobilenet	NOUN
esrj-113518	214	43	model	model	NOUN
esrj-113518	214	44	88.55	88.55	NUM
esrj-113518	214	45	%	%	NOUN
esrj-113518	214	46	aiscc	aiscc	ADJ
esrj-113518	214	47	-	-	PUNCT
esrj-113518	214	48	de2ms	de2ms	ADJ
esrj-113518	214	49	model	model	NOUN
esrj-113518	214	50	95.24	95.24	NUM
esrj-113518	214	51	%	%	NOUN
esrj-113518	214	52	scheme-2	scheme-2	NUM
esrj-113518	214	53	resnet50	resnet50	NOUN
esrj-113518	214	54	95.75	95.75	NUM
esrj-113518	214	55	%	%	NOUN
esrj-113518	214	56	as	as	ADP
esrj-113518	214	57	results	result	NOUN
esrj-113518	214	58	of	of	ADP
esrj-113518	214	59	resnet50	resnet50	NOUN
esrj-113518	214	60	are	be	AUX
esrj-113518	214	61	relatively	relatively	ADV
esrj-113518	214	62	better	well	ADJ
esrj-113518	214	63	than	than	ADP
esrj-113518	214	64	other	other	ADJ
esrj-113518	214	65	experimented	experimented	ADJ
esrj-113518	214	66	models	model	NOUN
esrj-113518	214	67	.	.	PUNCT
esrj-113518	215	1	table	table	NOUN
esrj-113518	215	2	12	12	NUM
esrj-113518	215	3	provides	provide	VERB
esrj-113518	215	4	the	the	DET
esrj-113518	215	5	class	class	NOUN
esrj-113518	215	6	vise	vise	NOUN
esrj-113518	215	7	comparison	comparison	NOUN
esrj-113518	215	8	of	of	ADP
esrj-113518	215	9	recall	recall	NOUN
esrj-113518	215	10	,	,	PUNCT
esrj-113518	215	11	precision	precision	NOUN
esrj-113518	215	12	and	and	CCONJ
esrj-113518	215	13	f1	f1	NOUN
esrj-113518	215	14	score	score	NOUN
esrj-113518	215	15	using	use	VERB
esrj-113518	215	16	aid	aid	NOUN
esrj-113518	215	17	data	datum	NOUN
esrj-113518	215	18	set	set	VERB
esrj-113518	215	19	for	for	ADP
esrj-113518	215	20	epochs	epoch	NOUN
esrj-113518	215	21	30	30	NUM
esrj-113518	215	22	,	,	PUNCT
esrj-113518	215	23	the	the	DET
esrj-113518	215	24	average	average	ADJ
esrj-113518	215	25	recall	recall	NOUN
esrj-113518	215	26	is	be	AUX
esrj-113518	215	27	calculated	calculate	VERB
esrj-113518	215	28	as97.61	as97.61	PROPN
esrj-113518	215	29	%	%	PROPN
esrj-113518	215	30	,	,	PUNCT
esrj-113518	215	31	the	the	DET
esrj-113518	215	32	average	average	ADJ
esrj-113518	215	33	value	value	NOUN
esrj-113518	215	34	of	of	ADP
esrj-113518	215	35	precision	precision	NOUN
esrj-113518	215	36	is	be	AUX
esrj-113518	215	37	97.81	97.81	NUM
esrj-113518	215	38	%	%	NOUN
esrj-113518	215	39	whereas	whereas	SCONJ
esrj-113518	215	40	average	average	ADJ
esrj-113518	215	41	computed	compute	VERB
esrj-113518	215	42	for	for	ADP
esrj-113518	215	43	f1	f1	ADJ
esrj-113518	215	44	score	score	NOUN
esrj-113518	215	45	is	be	AUX
esrj-113518	215	46	97.69	97.69	NUM
esrj-113518	215	47	%	%	NOUN
esrj-113518	215	48	.	.	PUNCT
esrj-113518	216	1	similarly	similarly	ADV
esrj-113518	216	2	,	,	PUNCT
esrj-113518	216	3	for	for	ADP
esrj-113518	216	4	epochs	epoch	NOUN
esrj-113518	216	5	20	20	NUM
esrj-113518	216	6	the	the	DET
esrj-113518	216	7	average	average	ADJ
esrj-113518	216	8	recall	recall	NOUN
esrj-113518	216	9	is	be	AUX
esrj-113518	216	10	calculated	calculate	VERB
esrj-113518	216	11	as	as	ADP
esrj-113518	216	12	96.65	96.65	NUM
esrj-113518	216	13	%	%	NOUN
esrj-113518	216	14	,	,	PUNCT
esrj-113518	216	15	the	the	DET
esrj-113518	216	16	average	average	ADJ
esrj-113518	216	17	value	value	NOUN
esrj-113518	216	18	of	of	ADP
esrj-113518	216	19	precision	precision	NOUN
esrj-113518	216	20	is	be	AUX
esrj-113518	216	21	96.61	96.61	NUM
esrj-113518	216	22	%	%	NOUN
esrj-113518	216	23	whereas	whereas	SCONJ
esrj-113518	216	24	average	average	ADJ
esrj-113518	216	25	computed	compute	VERB
esrj-113518	216	26	for	for	ADP
esrj-113518	216	27	f1	f1	ADJ
esrj-113518	216	28	score	score	NOUN
esrj-113518	216	29	is	be	AUX
esrj-113518	216	30	96.65	96.65	NUM
esrj-113518	216	31	%	%	NOUN
esrj-113518	216	32	.	.	PUNCT
esrj-113518	217	1	table	table	NOUN
esrj-113518	217	2	10	10	NUM
esrj-113518	217	3	shows	show	VERB
esrj-113518	217	4	its	its	PRON
esrj-113518	217	5	confusion	confusion	NOUN
esrj-113518	217	6	matrix	matrix	NOUN
esrj-113518	217	7	for	for	ADP
esrj-113518	217	8	30	30	NUM
esrj-113518	217	9	epochs	epoch	NOUN
esrj-113518	217	10	using	use	VERB
esrj-113518	217	11	proposed	propose	VERB
esrj-113518	217	12	resnet50	resnet50	NOUN
esrj-113518	217	13	for	for	ADP
esrj-113518	217	14	aid	aid	NOUN
esrj-113518	217	15	dataset	dataset	VERB
esrj-113518	217	16	it	it	PRON
esrj-113518	217	17	that	that	PRON
esrj-113518	217	18	help	help	VERB
esrj-113518	217	19	to	to	PART
esrj-113518	217	20	understand	understand	VERB
esrj-113518	217	21	which	which	DET
esrj-113518	217	22	class	class	NOUN
esrj-113518	217	23	gives	give	VERB
esrj-113518	217	24	better	well	ADJ
esrj-113518	217	25	predictions	prediction	NOUN
esrj-113518	217	26	and	and	CCONJ
esrj-113518	217	27	table	table	NOUN
esrj-113518	217	28	11	11	NUM
esrj-113518	217	29	shows	show	VERB
esrj-113518	217	30	the	the	DET
esrj-113518	217	31	confusion	confusion	NOUN
esrj-113518	217	32	matrix	matrix	NOUN
esrj-113518	217	33	of	of	ADP
esrj-113518	217	34	proposed	propose	VERB
esrj-113518	217	35	resnet50	resnet50	NOUN
esrj-113518	217	36	for	for	ADP
esrj-113518	217	37	20	20	NUM
esrj-113518	217	38	epochs	epoch	NOUN
esrj-113518	217	39	,	,	PUNCT
esrj-113518	217	40	to	to	PART
esrj-113518	217	41	see	see	VERB
esrj-113518	217	42	the	the	DET
esrj-113518	217	43	right	right	ADJ
esrj-113518	217	44	predictions	prediction	NOUN
esrj-113518	217	45	per	per	ADP
esrj-113518	217	46	class	class	NOUN
esrj-113518	217	47	.	.	PUNCT
esrj-113518	218	1	table	table	NOUN
esrj-113518	218	2	15	15	NUM
esrj-113518	218	3	provides	provide	VERB
esrj-113518	218	4	the	the	DET
esrj-113518	218	5	class	class	NOUN
esrj-113518	218	6	vise	vise	NOUN
esrj-113518	218	7	comparison	comparison	NOUN
esrj-113518	218	8	of	of	ADP
esrj-113518	218	9	recall	recall	NOUN
esrj-113518	218	10	,	,	PUNCT
esrj-113518	218	11	precision	precision	NOUN
esrj-113518	218	12	and	and	CCONJ
esrj-113518	218	13	f1	f1	NOUN
esrj-113518	218	14	score	score	NOUN
esrj-113518	218	15	using	use	VERB
esrj-113518	218	16	aider	aider	NOUN
esrj-113518	218	17	dataset	dataset	NOUN
esrj-113518	218	18	for	for	ADP
esrj-113518	218	19	epochs	epoch	NOUN
esrj-113518	218	20	30	30	NUM
esrj-113518	218	21	,	,	PUNCT
esrj-113518	218	22	the	the	DET
esrj-113518	218	23	average	average	ADJ
esrj-113518	218	24	recall	recall	NOUN
esrj-113518	218	25	is	be	AUX
esrj-113518	218	26	calculated	calculate	VERB
esrj-113518	218	27	as96.18	as96.18	PROPN
esrj-113518	218	28	%	%	NOUN
esrj-113518	218	29	,	,	PUNCT
esrj-113518	218	30	the	the	DET
esrj-113518	218	31	average	average	ADJ
esrj-113518	218	32	value	value	NOUN
esrj-113518	218	33	of	of	ADP
esrj-113518	218	34	precision	precision	NOUN
esrj-113518	218	35	is	be	AUX
esrj-113518	218	36	95.51	95.51	NUM
esrj-113518	218	37	%	%	NOUN
esrj-113518	218	38	whereas	whereas	SCONJ
esrj-113518	218	39	average	average	ADJ
esrj-113518	218	40	computed	compute	VERB
esrj-113518	218	41	for	for	ADP
esrj-113518	218	42	f1	f1	ADJ
esrj-113518	218	43	score	score	NOUN
esrj-113518	218	44	is	be	AUX
esrj-113518	218	45	95.40	95.40	NUM
esrj-113518	218	46	%	%	NOUN
esrj-113518	218	47	.	.	PUNCT
esrj-113518	219	1	similarly	similarly	ADV
esrj-113518	219	2	,	,	PUNCT
esrj-113518	219	3	for	for	ADP
esrj-113518	219	4	epochs	epoch	NOUN
esrj-113518	219	5	20	20	NUM
esrj-113518	219	6	the	the	DET
esrj-113518	219	7	average	average	ADJ
esrj-113518	219	8	recall	recall	NOUN
esrj-113518	219	9	is	be	AUX
esrj-113518	219	10	calculated	calculate	VERB
esrj-113518	219	11	as	as	ADP
esrj-113518	219	12	95.91	95.91	NUM
esrj-113518	219	13	%	%	NOUN
esrj-113518	219	14	,	,	PUNCT
esrj-113518	219	15	the	the	DET
esrj-113518	219	16	average	average	ADJ
esrj-113518	219	17	value	value	NOUN
esrj-113518	219	18	of	of	ADP
esrj-113518	219	19	precision	precision	NOUN
esrj-113518	219	20	is	be	AUX
esrj-113518	219	21	95.91	95.91	NUM
esrj-113518	219	22	%	%	NOUN
esrj-113518	219	23	whereas	whereas	SCONJ
esrj-113518	219	24	average	average	ADJ
esrj-113518	219	25	computed	compute	VERB
esrj-113518	219	26	for	for	ADP
esrj-113518	219	27	f1	f1	ADJ
esrj-113518	219	28	score	score	NOUN
esrj-113518	219	29	is	be	AUX
esrj-113518	219	30	95.38%.table	95.38%.table	ADJ
esrj-113518	219	31	13	13	NUM
esrj-113518	219	32	and	and	CCONJ
esrj-113518	219	33	table	table	NOUN
esrj-113518	219	34	14	14	NUM
esrj-113518	219	35	shows	show	VERB
esrj-113518	219	36	the	the	DET
esrj-113518	219	37	confusion	confusion	NOUN
esrj-113518	219	38	matrix	matrix	NOUN
esrj-113518	219	39	for	for	ADP
esrj-113518	219	40	proposed	propose	VERB
esrj-113518	219	41	resnet	resnet	NOUN
esrj-113518	219	42	50	50	NUM
esrj-113518	219	43	using	use	VERB
esrj-113518	219	44	aider	aider	NOUN
esrj-113518	219	45	dataset	dataset	NOUN
esrj-113518	219	46	for	for	ADP
esrj-113518	219	47	30	30	NUM
esrj-113518	219	48	and	and	CCONJ
esrj-113518	219	49	20	20	NUM
esrj-113518	219	50	epochs	epoch	NOUN
esrj-113518	219	51	respectively	respectively	ADV
esrj-113518	219	52	.	.	PUNCT
esrj-113518	220	1	table	table	NOUN
esrj-113518	220	2	10	10	NUM
esrj-113518	220	3	.	.	PUNCT
esrj-113518	221	1	confusion	confusion	NOUN
esrj-113518	221	2	matrix	matrix	NOUN
esrj-113518	221	3	for	for	ADP
esrj-113518	221	4	aid	aid	NOUN
esrj-113518	221	5	dataset	dataset	NOUN
esrj-113518	221	6	using	use	VERB
esrj-113518	221	7	proposed	propose	VERB
esrj-113518	221	8	resnet	resnet	NOUN
esrj-113518	221	9	50	50	NUM
esrj-113518	221	10	for	for	ADP
esrj-113518	221	11	30	30	NUM
esrj-113518	221	12	epochs	epoch	NOUN
esrj-113518	221	13	a	a	DET
esrj-113518	221	14	ir	ir	X
esrj-113518	221	15	po	po	PROPN
esrj-113518	221	16	rt	rt	PROPN
esrj-113518	221	17	b	b	PROPN
esrj-113518	221	18	ar	ar	PROPN
esrj-113518	221	19	e	e	PROPN
esrj-113518	221	20	l	l	NOUN
esrj-113518	221	21	an	an	PROPN
esrj-113518	221	22	d	d	X
esrj-113518	221	23	b	b	PROPN
esrj-113518	221	24	as	as	ADP
esrj-113518	221	25	eb	eb	PROPN
esrj-113518	221	26	al	al	PROPN
esrj-113518	221	27	l	l	PROPN
esrj-113518	221	28	fi	fi	PROPN
esrj-113518	222	1	el	el	PROPN
esrj-113518	222	2	d	d	PROPN
esrj-113518	222	3	b	b	PROPN
esrj-113518	222	4	ea	ea	PROPN
esrj-113518	222	5	ch	ch	PROPN
esrj-113518	222	6	b	b	PROPN
esrj-113518	222	7	ri	ri	NOUN
esrj-113518	222	8	dg	dg	ADV
esrj-113518	222	9	e	e	X
esrj-113518	222	10	c	c	X
esrj-113518	222	11	en	en	X
esrj-113518	222	12	te	te	ADP
esrj-113518	222	13	r	r	PROPN
esrj-113518	222	14	c	c	PROPN
esrj-113518	222	15	hu	hu	PROPN
esrj-113518	223	1	rc	rc	PROPN
esrj-113518	223	2	h	h	NOUN
esrj-113518	224	1	c	c	PROPN
esrj-113518	224	2	om	om	PROPN
esrj-113518	224	3	m	m	PROPN
esrj-113518	224	4	er	er	INTJ
esrj-113518	224	5	ci	ci	PROPN
esrj-113518	224	6	al	al	PROPN
esrj-113518	224	7	d	d	PROPN
esrj-113518	224	8	en	en	X
esrj-113518	224	9	se	se	PROPN
esrj-113518	224	10	r	r	NOUN
esrj-113518	224	11	es	es	X
esrj-113518	224	12	i	i	PROPN
esrj-113518	224	13	d	d	PROPN
esrj-113518	224	14	en	en	PROPN
esrj-113518	224	15	tia	tia	PROPN
esrj-113518	224	16	l	l	PROPN
esrj-113518	225	1	d	d	NOUN
esrj-113518	225	2	es	es	INTJ
esrj-113518	225	3	er	er	INTJ
esrj-113518	225	4	t	t	X
esrj-113518	225	5	fa	fa	X
esrj-113518	225	6	rm	rm	PROPN
esrj-113518	225	7	l	l	PROPN
esrj-113518	226	1	an	an	PROPN
esrj-113518	226	2	d	d	X
esrj-113518	226	3	fo	fo	INTJ
esrj-113518	226	4	re	re	VERB
esrj-113518	226	5	st	st	PROPN
esrj-113518	226	6	in	in	ADP
esrj-113518	226	7	du	du	PROPN
esrj-113518	226	8	st	st	PROPN
esrj-113518	226	9	ri	ri	PROPN
esrj-113518	226	10	al	al	PROPN
esrj-113518	226	11	m	m	PROPN
esrj-113518	226	12	ea	ea	PROPN
esrj-113518	226	13	do	do	AUX
esrj-113518	226	14	w	w	PROPN
esrj-113518	226	15	m	m	PROPN
esrj-113518	226	16	ed	ed	NOUN
esrj-113518	226	17	iu	iu	ADP
esrj-113518	226	18	m	m	PROPN
esrj-113518	226	19	r	r	NOUN
esrj-113518	226	20	es	es	X
esrj-113518	226	21	i	i	PROPN
esrj-113518	226	22	d	d	PROPN
esrj-113518	226	23	en	en	PROPN
esrj-113518	226	24	tia	tia	PROPN
esrj-113518	226	25	l	l	PROPN
esrj-113518	226	26	m	m	AUX
esrj-113518	226	27	ou	ou	AUX
esrj-113518	226	28	nt	not	PART
esrj-113518	226	29	ai	ai	VERB
esrj-113518	226	30	ns	ns	INTJ
esrj-113518	226	31	pa	pa	PROPN
esrj-113518	226	32	rk	rk	NOUN
esrj-113518	226	33	in	in	ADP
esrj-113518	226	34	g	g	PROPN
esrj-113518	226	35	po	po	PROPN
esrj-113518	227	1	nd	nd	AUX
esrj-113518	227	2	airport	airport	NOUN
esrj-113518	227	3	104	104	NUM
esrj-113518	227	4	0	0	NUM
esrj-113518	227	5	0	0	NUM
esrj-113518	227	6	0	0	NUM
esrj-113518	227	7	0	0	NUM
esrj-113518	227	8	0	0	NUM
esrj-113518	227	9	0	0	NUM
esrj-113518	227	10	0	0	NUM
esrj-113518	227	11	3	3	NUM
esrj-113518	227	12	0	0	NUM
esrj-113518	227	13	0	0	NUM
esrj-113518	227	14	0	0	NUM
esrj-113518	227	15	0	0	NUM
esrj-113518	227	16	0	0	NUM
esrj-113518	227	17	0	0	NUM
esrj-113518	227	18	1	1	NUM
esrj-113518	227	19	0	0	NUM
esrj-113518	227	20	0	0	NUM
esrj-113518	227	21	bare	bare	ADJ
esrj-113518	227	22	land	land	NOUN
esrj-113518	227	23	1	1	NUM
esrj-113518	227	24	91	91	NUM
esrj-113518	227	25	0	0	NUM
esrj-113518	227	26	0	0	NUM
esrj-113518	227	27	0	0	NUM
esrj-113518	227	28	1	1	NUM
esrj-113518	227	29	0	0	NUM
esrj-113518	227	30	0	0	NUM
esrj-113518	227	31	0	0	NUM
esrj-113518	227	32	0	0	NUM
esrj-113518	227	33	0	0	NUM
esrj-113518	227	34	0	0	NUM
esrj-113518	227	35	0	0	NUM
esrj-113518	227	36	0	0	NUM
esrj-113518	227	37	0	0	NUM
esrj-113518	227	38	0	0	NUM
esrj-113518	227	39	0	0	NUM
esrj-113518	227	40	0	0	NUM
esrj-113518	227	41	baseball	baseball	NOUN
esrj-113518	227	42	field	field	NOUN
esrj-113518	227	43	0	0	NUM
esrj-113518	227	44	0	0	NUM
esrj-113518	227	45	118	118	NUM
esrj-113518	227	46	2	2	NUM
esrj-113518	227	47	0	0	NUM
esrj-113518	227	48	0	0	NUM
esrj-113518	227	49	0	0	NUM
esrj-113518	227	50	0	0	NUM
esrj-113518	227	51	0	0	NUM
esrj-113518	227	52	0	0	NUM
esrj-113518	227	53	0	0	NUM
esrj-113518	227	54	0	0	NUM
esrj-113518	227	55	0	0	NUM
esrj-113518	227	56	0	0	NUM
esrj-113518	227	57	0	0	NUM
esrj-113518	227	58	0	0	NUM
esrj-113518	227	59	0	0	NUM
esrj-113518	227	60	0	0	NUM
esrj-113518	227	61	beach	beach	NOUN
esrj-113518	227	62	0	0	NUM
esrj-113518	227	63	0	0	SYM
esrj-113518	227	64	0	0	NUM
esrj-113518	227	65	108	108	NUM
esrj-113518	227	66	0	0	NUM
esrj-113518	227	67	0	0	NUM
esrj-113518	227	68	0	0	NUM
esrj-113518	227	69	0	0	NUM
esrj-113518	227	70	0	0	NUM
esrj-113518	227	71	0	0	NUM
esrj-113518	227	72	0	0	NUM
esrj-113518	227	73	0	0	NUM
esrj-113518	227	74	0	0	NUM
esrj-113518	227	75	0	0	NUM
esrj-113518	227	76	0	0	NUM
esrj-113518	227	77	0	0	NUM
esrj-113518	227	78	0	0	NUM
esrj-113518	227	79	0	0	NUM
esrj-113518	227	80	bridge	bridge	NOUN
esrj-113518	227	81	0	0	NUM
esrj-113518	227	82	0	0	NUM
esrj-113518	227	83	0	0	NUM
esrj-113518	227	84	0	0	NUM
esrj-113518	227	85	119	119	NUM
esrj-113518	227	86	0	0	NUM
esrj-113518	227	87	0	0	NUM
esrj-113518	227	88	0	0	NUM
esrj-113518	227	89	2	2	NUM
esrj-113518	227	90	0	0	NUM
esrj-113518	227	91	0	0	NUM
esrj-113518	227	92	0	0	NUM
esrj-113518	227	93	0	0	NUM
esrj-113518	227	94	1	1	NUM
esrj-113518	227	95	0	0	NUM
esrj-113518	227	96	0	0	NUM
esrj-113518	227	97	0	0	NUM
esrj-113518	227	98	1	1	NUM
esrj-113518	227	99	center	center	NOUN
esrj-113518	227	100	0	0	NUM
esrj-113518	228	1	2	2	NUM
esrj-113518	228	2	0	0	NUM
esrj-113518	228	3	0	0	NUM
esrj-113518	228	4	0	0	NUM
esrj-113518	228	5	88	88	NUM
esrj-113518	228	6	0	0	NUM
esrj-113518	228	7	0	0	NUM
esrj-113518	228	8	0	0	NUM
esrj-113518	228	9	0	0	NUM
esrj-113518	228	10	0	0	NUM
esrj-113518	228	11	0	0	NUM
esrj-113518	228	12	0	0	NUM
esrj-113518	228	13	0	0	NUM
esrj-113518	228	14	0	0	NUM
esrj-113518	228	15	0	0	NUM
esrj-113518	228	16	0	0	NUM
esrj-113518	228	17	0	0	NUM
esrj-113518	228	18	church	church	NOUN
esrj-113518	228	19	0	0	NUM
esrj-113518	228	20	0	0	NUM
esrj-113518	228	21	0	0	NUM
esrj-113518	228	22	0	0	NUM
esrj-113518	228	23	0	0	NUM
esrj-113518	228	24	0	0	NUM
esrj-113518	228	25	110	110	NUM
esrj-113518	228	26	0	0	NUM
esrj-113518	228	27	0	0	NUM
esrj-113518	228	28	1	1	NUM
esrj-113518	228	29	0	0	NUM
esrj-113518	228	30	0	0	NUM
esrj-113518	228	31	0	0	NUM
esrj-113518	228	32	0	0	NUM
esrj-113518	228	33	0	0	NUM
esrj-113518	228	34	0	0	NUM
esrj-113518	228	35	0	0	NUM
esrj-113518	228	36	0	0	NUM
esrj-113518	228	37	commercial	commercial	NOUN
esrj-113518	228	38	0	0	NUM
esrj-113518	228	39	0	0	NUM
esrj-113518	228	40	0	0	NUM
esrj-113518	228	41	0	0	NUM
esrj-113518	228	42	0	0	NUM
esrj-113518	228	43	0	0	NUM
esrj-113518	228	44	0	0	NUM
esrj-113518	229	1	75	75	NUM
esrj-113518	229	2	0	0	NUM
esrj-113518	229	3	0	0	NUM
esrj-113518	229	4	0	0	NUM
esrj-113518	229	5	0	0	NUM
esrj-113518	229	6	0	0	NUM
esrj-113518	229	7	0	0	NUM
esrj-113518	229	8	0	0	NUM
esrj-113518	229	9	0	0	NUM
esrj-113518	229	10	0	0	NUM
esrj-113518	229	11	0	0	NUM
esrj-113518	229	12	dense	dense	ADJ
esrj-113518	229	13	residential	residential	ADJ
esrj-113518	229	14	0	0	NUM
esrj-113518	229	15	0	0	NUM
esrj-113518	229	16	0	0	NUM
esrj-113518	229	17	0	0	NUM
esrj-113518	229	18	1	1	NUM
esrj-113518	229	19	0	0	NUM
esrj-113518	229	20	0	0	NUM
esrj-113518	229	21	0	0	NUM
esrj-113518	229	22	106	106	NUM
esrj-113518	229	23	0	0	NUM
esrj-113518	229	24	0	0	NUM
esrj-113518	229	25	0	0	NUM
esrj-113518	229	26	0	0	NUM
esrj-113518	229	27	3	3	NUM
esrj-113518	229	28	0	0	NUM
esrj-113518	229	29	2	2	NUM
esrj-113518	229	30	1	1	NUM
esrj-113518	229	31	4	4	NUM
esrj-113518	229	32	desert	desert	NOUN
esrj-113518	229	33	0	0	NUM
esrj-113518	229	34	0	0	NUM
esrj-113518	229	35	0	0	NUM
esrj-113518	229	36	0	0	NUM
esrj-113518	229	37	0	0	NUM
esrj-113518	229	38	0	0	NUM
esrj-113518	229	39	1	1	NUM
esrj-113518	229	40	1	1	NUM
esrj-113518	229	41	0	0	NUM
esrj-113518	229	42	82	82	NUM
esrj-113518	229	43	0	0	NUM
esrj-113518	229	44	0	0	NUM
esrj-113518	229	45	0	0	NUM
esrj-113518	229	46	0	0	NUM
esrj-113518	229	47	0	0	NUM
esrj-113518	229	48	0	0	NUM
esrj-113518	229	49	0	0	NUM
esrj-113518	229	50	0	0	NUM
esrj-113518	229	51	farm	farm	NOUN
esrj-113518	229	52	land	land	NOUN
esrj-113518	229	53	0	0	NUM
esrj-113518	229	54	0	0	NUM
esrj-113518	229	55	0	0	NUM
esrj-113518	229	56	0	0	NUM
esrj-113518	229	57	4	4	NUM
esrj-113518	229	58	0	0	NUM
esrj-113518	229	59	0	0	NUM
esrj-113518	229	60	0	0	NUM
esrj-113518	229	61	0	0	NUM
esrj-113518	229	62	0	0	NUM
esrj-113518	229	63	83	83	NUM
esrj-113518	229	64	0	0	NUM
esrj-113518	229	65	0	0	NUM
esrj-113518	229	66	0	0	NUM
esrj-113518	229	67	0	0	NUM
esrj-113518	229	68	0	0	NUM
esrj-113518	229	69	0	0	NUM
esrj-113518	229	70	0	0	NUM
esrj-113518	229	71	forest	forest	NOUN
esrj-113518	229	72	0	0	NUM
esrj-113518	229	73	0	0	NUM
esrj-113518	229	74	0	0	NUM
esrj-113518	229	75	0	0	NUM
esrj-113518	229	76	0	0	NUM
esrj-113518	229	77	0	0	NUM
esrj-113518	229	78	0	0	NUM
esrj-113518	229	79	0	0	NUM
esrj-113518	229	80	0	0	NUM
esrj-113518	229	81	0	0	NUM
esrj-113518	229	82	0	0	NUM
esrj-113518	229	83	102	102	NUM
esrj-113518	229	84	0	0	NUM
esrj-113518	229	85	0	0	NUM
esrj-113518	229	86	0	0	NUM
esrj-113518	229	87	0	0	NUM
esrj-113518	229	88	0	0	NUM
esrj-113518	229	89	0	0	NUM
esrj-113518	229	90	industrial	industrial	ADJ
esrj-113518	229	91	0	0	NUM
esrj-113518	229	92	0	0	NUM
esrj-113518	229	93	0	0	NUM
esrj-113518	229	94	0	0	NUM
esrj-113518	229	95	0	0	NUM
esrj-113518	229	96	0	0	NUM
esrj-113518	229	97	0	0	NUM
esrj-113518	229	98	0	0	NUM
esrj-113518	229	99	1	1	NUM
esrj-113518	229	100	0	0	NUM
esrj-113518	229	101	0	0	NUM
esrj-113518	229	102	0	0	NUM
esrj-113518	229	103	116	116	NUM
esrj-113518	229	104	0	0	NUM
esrj-113518	229	105	0	0	NUM
esrj-113518	229	106	0	0	NUM
esrj-113518	229	107	0	0	NUM
esrj-113518	229	108	0	0	NUM
esrj-113518	229	109	meadow	meadow	NOUN
esrj-113518	229	110	0	0	NUM
esrj-113518	229	111	0	0	NUM
esrj-113518	229	112	0	0	NUM
esrj-113518	229	113	0	0	NUM
esrj-113518	229	114	2	2	NUM
esrj-113518	229	115	0	0	NUM
esrj-113518	229	116	0	0	NUM
esrj-113518	229	117	0	0	NUM
esrj-113518	229	118	0	0	NUM
esrj-113518	229	119	0	0	NUM
esrj-113518	229	120	1	1	NUM
esrj-113518	229	121	0	0	NUM
esrj-113518	229	122	0	0	NUM
esrj-113518	229	123	100	100	NUM
esrj-113518	229	124	0	0	NUM
esrj-113518	229	125	1	1	NUM
esrj-113518	229	126	1	1	NUM
esrj-113518	229	127	0	0	NUM
esrj-113518	229	128	medium	medium	NOUN
esrj-113518	229	129	residential	residential	ADJ
esrj-113518	229	130	0	0	NUM
esrj-113518	229	131	0	0	NUM
esrj-113518	229	132	0	0	NUM
esrj-113518	229	133	0	0	NUM
esrj-113518	229	134	0	0	NUM
esrj-113518	229	135	0	0	NUM
esrj-113518	229	136	0	0	NUM
esrj-113518	229	137	0	0	NUM
esrj-113518	229	138	0	0	NUM
esrj-113518	229	139	0	0	NUM
esrj-113518	229	140	0	0	NUM
esrj-113518	229	141	0	0	NUM
esrj-113518	229	142	0	0	NUM
esrj-113518	229	143	0	0	NUM
esrj-113518	229	144	66	66	NUM
esrj-113518	229	145	0	0	NUM
esrj-113518	229	146	0	0	NUM
esrj-113518	229	147	0	0	NUM
esrj-113518	229	148	mountains	mountain	NOUN
esrj-113518	229	149	1	1	NUM
esrj-113518	229	150	0	0	NUM
esrj-113518	229	151	0	0	NUM
esrj-113518	229	152	1	1	NUM
esrj-113518	229	153	0	0	NUM
esrj-113518	229	154	0	0	NUM
esrj-113518	229	155	0	0	NUM
esrj-113518	229	156	0	0	NUM
esrj-113518	229	157	2	2	NUM
esrj-113518	229	158	0	0	NUM
esrj-113518	229	159	0	0	NUM
esrj-113518	229	160	0	0	NUM
esrj-113518	229	161	0	0	NUM
esrj-113518	229	162	0	0	NUM
esrj-113518	229	163	0	0	NUM
esrj-113518	229	164	69	69	NUM
esrj-113518	229	165	4	4	NUM
esrj-113518	229	166	1	1	NUM
esrj-113518	229	167	parking	parking	NOUN
esrj-113518	229	168	0	0	NUM
esrj-113518	229	169	0	0	NUM
esrj-113518	229	170	0	0	NUM
esrj-113518	229	171	0	0	NUM
esrj-113518	229	172	0	0	NUM
esrj-113518	229	173	0	0	NUM
esrj-113518	229	174	0	0	NUM
esrj-113518	229	175	0	0	NUM
esrj-113518	229	176	1	1	NUM
esrj-113518	229	177	0	0	NUM
esrj-113518	229	178	2	2	NUM
esrj-113518	229	179	0	0	NUM
esrj-113518	229	180	1	1	NUM
esrj-113518	229	181	0	0	NUM
esrj-113518	229	182	0	0	NUM
esrj-113518	229	183	2	2	NUM
esrj-113518	229	184	63	63	NUM
esrj-113518	229	185	3	3	NUM
esrj-113518	229	186	pond	pond	NOUN
esrj-113518	229	187	0	0	NUM
esrj-113518	229	188	0	0	NUM
esrj-113518	229	189	0	0	NUM
esrj-113518	229	190	0	0	NUM
esrj-113518	229	191	0	0	NUM
esrj-113518	229	192	0	0	NUM
esrj-113518	229	193	0	0	NUM
esrj-113518	229	194	0	0	NUM
esrj-113518	229	195	0	0	NUM
esrj-113518	229	196	0	0	NUM
esrj-113518	229	197	0	0	NUM
esrj-113518	229	198	0	0	NUM
esrj-113518	229	199	0	0	NUM
esrj-113518	229	200	0	0	NUM
esrj-113518	229	201	0	0	NUM
esrj-113518	229	202	1	1	NUM
esrj-113518	229	203	0	0	NUM
esrj-113518	229	204	104	104	NUM
esrj-113518	229	205	416	416	NUM
esrj-113518	229	206	maryam	maryam	PROPN
esrj-113518	229	207	mehmood	mehmood	PROPN
esrj-113518	229	208	,	,	PUNCT
esrj-113518	229	209	farhan	farhan	PROPN
esrj-113518	229	210	hussain	hussain	PROPN
esrj-113518	229	211	,	,	PUNCT
esrj-113518	229	212	ahsan	ahsan	PROPN
esrj-113518	229	213	shahzad	shahzad	PROPN
esrj-113518	229	214	,	,	PUNCT
esrj-113518	229	215	nouman	nouman	PROPN
esrj-113518	229	216	ali	ali	PROPN
esrj-113518	229	217	table	table	PROPN
esrj-113518	229	218	11	11	NUM
esrj-113518	229	219	.	.	PUNCT
esrj-113518	230	1	confusion	confusion	NOUN
esrj-113518	230	2	matrix	matrix	NOUN
esrj-113518	230	3	for	for	ADP
esrj-113518	230	4	aid	aid	NOUN
esrj-113518	230	5	dataset	dataset	NOUN
esrj-113518	230	6	using	use	VERB
esrj-113518	230	7	proposed	propose	VERB
esrj-113518	230	8	resnet	resnet	NOUN
esrj-113518	230	9	50	50	NUM
esrj-113518	230	10	for	for	ADP
esrj-113518	230	11	20	20	NUM
esrj-113518	230	12	epochs	epoch	NOUN
esrj-113518	230	13	a	a	DET
esrj-113518	230	14	ir	ir	X
esrj-113518	230	15	po	po	PROPN
esrj-113518	230	16	rt	rt	PROPN
esrj-113518	230	17	b	b	PROPN
esrj-113518	230	18	ar	ar	PROPN
esrj-113518	230	19	e	e	PROPN
esrj-113518	230	20	l	l	NOUN
esrj-113518	230	21	an	an	PROPN
esrj-113518	230	22	d	d	X
esrj-113518	230	23	b	b	PROPN
esrj-113518	230	24	as	as	ADP
esrj-113518	230	25	eb	eb	PROPN
esrj-113518	230	26	al	al	PROPN
esrj-113518	230	27	l	l	PROPN
esrj-113518	230	28	fi	fi	PROPN
esrj-113518	231	1	el	el	PROPN
esrj-113518	231	2	d	d	PROPN
esrj-113518	231	3	b	b	PROPN
esrj-113518	231	4	ea	ea	PROPN
esrj-113518	231	5	ch	ch	PROPN
esrj-113518	231	6	b	b	PROPN
esrj-113518	231	7	ri	ri	NOUN
esrj-113518	231	8	dg	dg	ADV
esrj-113518	231	9	e	e	X
esrj-113518	231	10	c	c	X
esrj-113518	231	11	en	en	X
esrj-113518	231	12	te	te	ADP
esrj-113518	231	13	r	r	PROPN
esrj-113518	231	14	c	c	PROPN
esrj-113518	231	15	hu	hu	PROPN
esrj-113518	232	1	rc	rc	PROPN
esrj-113518	232	2	h	h	NOUN
esrj-113518	233	1	c	c	PROPN
esrj-113518	233	2	om	om	PROPN
esrj-113518	233	3	m	m	PROPN
esrj-113518	233	4	er	er	INTJ
esrj-113518	233	5	ci	ci	PROPN
esrj-113518	233	6	al	al	PROPN
esrj-113518	233	7	d	d	PROPN
esrj-113518	233	8	en	en	X
esrj-113518	233	9	se	se	PROPN
esrj-113518	233	10	r	r	NOUN
esrj-113518	233	11	es	es	X
esrj-113518	233	12	i	i	PROPN
esrj-113518	233	13	d	d	PROPN
esrj-113518	233	14	en	en	PROPN
esrj-113518	233	15	tia	tia	PROPN
esrj-113518	233	16	l	l	PROPN
esrj-113518	234	1	d	d	NOUN
esrj-113518	234	2	es	es	INTJ
esrj-113518	234	3	er	er	INTJ
esrj-113518	234	4	t	t	X
esrj-113518	234	5	fa	fa	X
esrj-113518	234	6	rm	rm	PROPN
esrj-113518	234	7	l	l	PROPN
esrj-113518	235	1	an	an	PROPN
esrj-113518	235	2	d	d	X
esrj-113518	235	3	fo	fo	INTJ
esrj-113518	235	4	re	re	VERB
esrj-113518	235	5	st	st	PROPN
esrj-113518	235	6	in	in	ADP
esrj-113518	235	7	du	du	PROPN
esrj-113518	235	8	st	st	PROPN
esrj-113518	235	9	ri	ri	PROPN
esrj-113518	235	10	al	al	PROPN
esrj-113518	235	11	m	m	PROPN
esrj-113518	235	12	ea	ea	PROPN
esrj-113518	235	13	do	do	AUX
esrj-113518	235	14	w	w	PROPN
esrj-113518	235	15	m	m	PROPN
esrj-113518	235	16	ed	ed	NOUN
esrj-113518	235	17	iu	iu	ADP
esrj-113518	235	18	m	m	PROPN
esrj-113518	235	19	r	r	NOUN
esrj-113518	235	20	es	es	X
esrj-113518	235	21	i	i	PROPN
esrj-113518	235	22	d	d	PROPN
esrj-113518	235	23	en	en	PROPN
esrj-113518	235	24	tia	tia	PROPN
esrj-113518	235	25	l	l	PROPN
esrj-113518	235	26	m	m	AUX
esrj-113518	235	27	ou	ou	AUX
esrj-113518	235	28	nt	not	PART
esrj-113518	235	29	ai	ai	VERB
esrj-113518	235	30	ns	ns	INTJ
esrj-113518	235	31	pa	pa	PROPN
esrj-113518	235	32	rk	rk	NOUN
esrj-113518	235	33	in	in	ADP
esrj-113518	235	34	g	g	PROPN
esrj-113518	235	35	po	po	PROPN
esrj-113518	235	36	nd	nd	ADV
esrj-113518	235	37	airport	airport	PROPN
esrj-113518	235	38	103	103	NUM
esrj-113518	235	39	1	1	NUM
esrj-113518	235	40	0	0	NUM
esrj-113518	235	41	2	2	NUM
esrj-113518	235	42	0	0	NUM
esrj-113518	235	43	0	0	NUM
esrj-113518	235	44	1	1	NUM
esrj-113518	235	45	0	0	NUM
esrj-113518	235	46	0	0	NUM
esrj-113518	235	47	0	0	NUM
esrj-113518	235	48	0	0	NUM
esrj-113518	235	49	0	0	NUM
esrj-113518	235	50	0	0	NUM
esrj-113518	235	51	0	0	NUM
esrj-113518	235	52	0	0	NUM
esrj-113518	235	53	0	0	NUM
esrj-113518	235	54	0	0	NUM
esrj-113518	235	55	1	1	NUM
esrj-113518	235	56	bare	bare	ADJ
esrj-113518	235	57	land	land	NOUN
esrj-113518	235	58	0	0	NUM
esrj-113518	235	59	90	90	NUM
esrj-113518	235	60	1	1	NUM
esrj-113518	235	61	0	0	NUM
esrj-113518	235	62	0	0	NUM
esrj-113518	235	63	1	1	NUM
esrj-113518	235	64	0	0	NUM
esrj-113518	235	65	0	0	NUM
esrj-113518	235	66	0	0	NUM
esrj-113518	235	67	1	1	NUM
esrj-113518	235	68	0	0	NUM
esrj-113518	235	69	0	0	NUM
esrj-113518	235	70	0	0	NUM
esrj-113518	235	71	0	0	NUM
esrj-113518	235	72	0	0	NUM
esrj-113518	235	73	0	0	NUM
esrj-113518	235	74	0	0	NUM
esrj-113518	235	75	0	0	NUM
esrj-113518	236	1	baseball	baseball	NOUN
esrj-113518	236	2	field	field	NOUN
esrj-113518	236	3	0	0	NUM
esrj-113518	236	4	0	0	NUM
esrj-113518	236	5	116	116	NUM
esrj-113518	236	6	2	2	NUM
esrj-113518	236	7	0	0	NUM
esrj-113518	236	8	2	2	NUM
esrj-113518	236	9	0	0	NUM
esrj-113518	236	10	0	0	NUM
esrj-113518	236	11	0	0	NUM
esrj-113518	236	12	0	0	NUM
esrj-113518	236	13	0	0	NUM
esrj-113518	236	14	0	0	NUM
esrj-113518	236	15	0	0	NUM
esrj-113518	236	16	0	0	NUM
esrj-113518	236	17	0	0	NUM
esrj-113518	236	18	0	0	NUM
esrj-113518	236	19	0	0	NUM
esrj-113518	236	20	0	0	NUM
esrj-113518	236	21	beach	beach	NOUN
esrj-113518	236	22	0	0	NUM
esrj-113518	236	23	0	0	NUM
esrj-113518	236	24	0	0	NUM
esrj-113518	236	25	107	107	NUM
esrj-113518	236	26	0	0	NUM
esrj-113518	236	27	0	0	NUM
esrj-113518	236	28	1	1	NUM
esrj-113518	236	29	0	0	NUM
esrj-113518	236	30	0	0	NUM
esrj-113518	236	31	0	0	NUM
esrj-113518	236	32	0	0	NUM
esrj-113518	236	33	0	0	NUM
esrj-113518	236	34	0	0	NUM
esrj-113518	236	35	0	0	NUM
esrj-113518	236	36	0	0	NUM
esrj-113518	236	37	0	0	NUM
esrj-113518	236	38	0	0	NUM
esrj-113518	236	39	0	0	NUM
esrj-113518	236	40	bridge	bridge	NOUN
esrj-113518	236	41	0	0	NUM
esrj-113518	236	42	0	0	NUM
esrj-113518	236	43	0	0	NUM
esrj-113518	236	44	0	0	NUM
esrj-113518	236	45	119	119	NUM
esrj-113518	236	46	0	0	NUM
esrj-113518	236	47	0	0	NUM
esrj-113518	236	48	0	0	NUM
esrj-113518	236	49	0	0	NUM
esrj-113518	236	50	0	0	NUM
esrj-113518	236	51	1	1	NUM
esrj-113518	236	52	0	0	NUM
esrj-113518	236	53	2	2	NUM
esrj-113518	236	54	0	0	NUM
esrj-113518	236	55	0	0	NUM
esrj-113518	236	56	0	0	NUM
esrj-113518	236	57	1	1	NUM
esrj-113518	236	58	0	0	NUM
esrj-113518	236	59	center	center	NOUN
esrj-113518	236	60	0	0	NUM
esrj-113518	236	61	0	0	NUM
esrj-113518	236	62	0	0	NUM
esrj-113518	236	63	0	0	NUM
esrj-113518	236	64	0	0	NUM
esrj-113518	236	65	90	90	NUM
esrj-113518	236	66	0	0	NUM
esrj-113518	236	67	0	0	NUM
esrj-113518	236	68	0	0	NUM
esrj-113518	236	69	0	0	NUM
esrj-113518	236	70	0	0	NUM
esrj-113518	236	71	0	0	NUM
esrj-113518	236	72	0	0	NUM
esrj-113518	236	73	0	0	NUM
esrj-113518	236	74	0	0	NUM
esrj-113518	236	75	0	0	NUM
esrj-113518	236	76	0	0	NUM
esrj-113518	236	77	0	0	NUM
esrj-113518	236	78	church	church	NOUN
esrj-113518	236	79	0	0	NUM
esrj-113518	236	80	0	0	NUM
esrj-113518	236	81	0	0	NUM
esrj-113518	236	82	0	0	NUM
esrj-113518	236	83	0	0	NUM
esrj-113518	236	84	0	0	NUM
esrj-113518	236	85	111	111	NUM
esrj-113518	236	86	0	0	NUM
esrj-113518	236	87	0	0	NUM
esrj-113518	236	88	0	0	NUM
esrj-113518	236	89	0	0	NUM
esrj-113518	236	90	0	0	NUM
esrj-113518	236	91	0	0	NUM
esrj-113518	236	92	0	0	NUM
esrj-113518	236	93	0	0	NUM
esrj-113518	236	94	0	0	NUM
esrj-113518	236	95	0	0	NUM
esrj-113518	236	96	0	0	NUM
esrj-113518	236	97	commercial	commercial	NOUN
esrj-113518	236	98	0	0	NUM
esrj-113518	236	99	0	0	NUM
esrj-113518	236	100	0	0	NUM
esrj-113518	236	101	0	0	NUM
esrj-113518	236	102	0	0	NUM
esrj-113518	236	103	0	0	NUM
esrj-113518	236	104	0	0	NUM
esrj-113518	237	1	75	75	NUM
esrj-113518	237	2	0	0	NUM
esrj-113518	237	3	0	0	NUM
esrj-113518	237	4	0	0	NUM
esrj-113518	237	5	0	0	NUM
esrj-113518	237	6	0	0	NUM
esrj-113518	237	7	0	0	NUM
esrj-113518	237	8	0	0	NUM
esrj-113518	237	9	0	0	NUM
esrj-113518	237	10	0	0	NUM
esrj-113518	237	11	0	0	NUM
esrj-113518	237	12	dense	dense	ADJ
esrj-113518	237	13	residential	residential	ADJ
esrj-113518	237	14	0	0	NUM
esrj-113518	237	15	0	0	NUM
esrj-113518	237	16	0	0	NUM
esrj-113518	237	17	0	0	NUM
esrj-113518	237	18	1	1	NUM
esrj-113518	237	19	0	0	NUM
esrj-113518	237	20	0	0	NUM
esrj-113518	237	21	0	0	NUM
esrj-113518	237	22	111	111	NUM
esrj-113518	237	23	0	0	NUM
esrj-113518	237	24	0	0	NUM
esrj-113518	237	25	0	0	NUM
esrj-113518	237	26	1	1	NUM
esrj-113518	237	27	1	1	NUM
esrj-113518	237	28	0	0	NUM
esrj-113518	237	29	2	2	NUM
esrj-113518	237	30	0	0	NUM
esrj-113518	237	31	1	1	NUM
esrj-113518	237	32	desert	desert	NOUN
esrj-113518	237	33	1	1	NUM
esrj-113518	237	34	0	0	NUM
esrj-113518	237	35	0	0	NUM
esrj-113518	237	36	1	1	NUM
esrj-113518	237	37	0	0	NUM
esrj-113518	237	38	0	0	NUM
esrj-113518	237	39	0	0	NUM
esrj-113518	237	40	0	0	NUM
esrj-113518	237	41	0	0	NUM
esrj-113518	237	42	82	82	NUM
esrj-113518	237	43	0	0	NUM
esrj-113518	237	44	0	0	NUM
esrj-113518	237	45	0	0	NUM
esrj-113518	237	46	0	0	NUM
esrj-113518	237	47	0	0	NUM
esrj-113518	237	48	0	0	NUM
esrj-113518	237	49	0	0	NUM
esrj-113518	237	50	0	0	NUM
esrj-113518	237	51	farm	farm	NOUN
esrj-113518	237	52	land	land	NOUN
esrj-113518	237	53	0	0	NUM
esrj-113518	237	54	0	0	NUM
esrj-113518	237	55	0	0	NUM
esrj-113518	237	56	0	0	NUM
esrj-113518	237	57	1	1	NUM
esrj-113518	237	58	0	0	NUM
esrj-113518	237	59	0	0	NUM
esrj-113518	237	60	0	0	NUM
esrj-113518	237	61	0	0	NUM
esrj-113518	237	62	0	0	NUM
esrj-113518	237	63	86	86	NUM
esrj-113518	237	64	0	0	NUM
esrj-113518	237	65	0	0	NUM
esrj-113518	237	66	0	0	NUM
esrj-113518	237	67	0	0	NUM
esrj-113518	237	68	0	0	NUM
esrj-113518	237	69	0	0	NUM
esrj-113518	237	70	0	0	NUM
esrj-113518	237	71	forest	forest	NOUN
esrj-113518	237	72	0	0	NUM
esrj-113518	237	73	0	0	NUM
esrj-113518	237	74	0	0	NUM
esrj-113518	237	75	0	0	NUM
esrj-113518	237	76	0	0	NUM
esrj-113518	237	77	0	0	NUM
esrj-113518	237	78	0	0	NUM
esrj-113518	237	79	0	0	NUM
esrj-113518	237	80	0	0	NUM
esrj-113518	237	81	1	1	NUM
esrj-113518	237	82	0	0	NUM
esrj-113518	237	83	101	101	NUM
esrj-113518	237	84	0	0	NUM
esrj-113518	237	85	0	0	NUM
esrj-113518	237	86	0	0	NUM
esrj-113518	237	87	0	0	NUM
esrj-113518	237	88	0	0	NUM
esrj-113518	237	89	0	0	NUM
esrj-113518	237	90	industrial	industrial	ADJ
esrj-113518	237	91	0	0	NUM
esrj-113518	237	92	0	0	NUM
esrj-113518	237	93	0	0	NUM
esrj-113518	237	94	0	0	NUM
esrj-113518	237	95	0	0	NUM
esrj-113518	237	96	0	0	NUM
esrj-113518	237	97	0	0	NUM
esrj-113518	237	98	0	0	NUM
esrj-113518	237	99	1	1	NUM
esrj-113518	237	100	0	0	NUM
esrj-113518	237	101	0	0	NUM
esrj-113518	237	102	0	0	NUM
esrj-113518	237	103	116	116	NUM
esrj-113518	237	104	0	0	NUM
esrj-113518	237	105	0	0	NUM
esrj-113518	237	106	0	0	NUM
esrj-113518	237	107	0	0	NUM
esrj-113518	237	108	0	0	NUM
esrj-113518	237	109	meadow	meadow	NOUN
esrj-113518	237	110	0	0	NUM
esrj-113518	237	111	0	0	NUM
esrj-113518	237	112	0	0	NUM
esrj-113518	237	113	1	1	NUM
esrj-113518	237	114	0	0	NUM
esrj-113518	237	115	0	0	NUM
esrj-113518	237	116	0	0	NUM
esrj-113518	237	117	1	1	NUM
esrj-113518	237	118	0	0	NUM
esrj-113518	237	119	0	0	NUM
esrj-113518	237	120	0	0	NUM
esrj-113518	237	121	0	0	NUM
esrj-113518	237	122	0	0	NUM
esrj-113518	238	1	101	101	NUM
esrj-113518	238	2	0	0	NUM
esrj-113518	238	3	0	0	NUM
esrj-113518	238	4	0	0	NUM
esrj-113518	238	5	2	2	NUM
esrj-113518	238	6	medium	medium	NOUN
esrj-113518	238	7	residential	residential	ADJ
esrj-113518	238	8	0	0	NUM
esrj-113518	238	9	0	0	NUM
esrj-113518	238	10	0	0	NUM
esrj-113518	238	11	0	0	NUM
esrj-113518	238	12	0	0	NUM
esrj-113518	238	13	0	0	NUM
esrj-113518	238	14	0	0	NUM
esrj-113518	238	15	0	0	NUM
esrj-113518	238	16	0	0	NUM
esrj-113518	238	17	0	0	NUM
esrj-113518	238	18	0	0	NUM
esrj-113518	238	19	0	0	NUM
esrj-113518	238	20	0	0	NUM
esrj-113518	238	21	0	0	NUM
esrj-113518	238	22	66	66	NUM
esrj-113518	238	23	0	0	NUM
esrj-113518	238	24	0	0	NUM
esrj-113518	238	25	0	0	NUM
esrj-113518	238	26	mountains	mountain	NOUN
esrj-113518	238	27	0	0	NUM
esrj-113518	238	28	0	0	NUM
esrj-113518	238	29	0	0	NUM
esrj-113518	238	30	0	0	NUM
esrj-113518	238	31	0	0	NUM
esrj-113518	238	32	0	0	NUM
esrj-113518	238	33	0	0	NUM
esrj-113518	238	34	0	0	NUM
esrj-113518	238	35	0	0	NUM
esrj-113518	238	36	0	0	NUM
esrj-113518	238	37	0	0	NUM
esrj-113518	238	38	0	0	NUM
esrj-113518	238	39	0	0	NUM
esrj-113518	238	40	0	0	NUM
esrj-113518	238	41	1	1	NUM
esrj-113518	238	42	72	72	NUM
esrj-113518	238	43	4	4	NUM
esrj-113518	238	44	1	1	NUM
esrj-113518	238	45	parking	parking	NOUN
esrj-113518	238	46	0	0	NUM
esrj-113518	238	47	0	0	NUM
esrj-113518	238	48	0	0	NUM
esrj-113518	238	49	0	0	NUM
esrj-113518	238	50	0	0	NUM
esrj-113518	238	51	0	0	NUM
esrj-113518	238	52	0	0	NUM
esrj-113518	238	53	0	0	NUM
esrj-113518	238	54	0	0	NUM
esrj-113518	238	55	0	0	NUM
esrj-113518	238	56	0	0	NUM
esrj-113518	238	57	0	0	NUM
esrj-113518	238	58	0	0	NUM
esrj-113518	238	59	0	0	NUM
esrj-113518	238	60	1	1	NUM
esrj-113518	238	61	0	0	NUM
esrj-113518	238	62	70	70	NUM
esrj-113518	238	63	1	1	NUM
esrj-113518	238	64	pond	pond	NOUN
esrj-113518	238	65	0	0	NUM
esrj-113518	238	66	0	0	NUM
esrj-113518	238	67	0	0	NUM
esrj-113518	238	68	0	0	NUM
esrj-113518	238	69	0	0	NUM
esrj-113518	238	70	0	0	NUM
esrj-113518	238	71	0	0	NUM
esrj-113518	238	72	0	0	NUM
esrj-113518	238	73	1	1	NUM
esrj-113518	238	74	0	0	NUM
esrj-113518	238	75	0	0	NUM
esrj-113518	238	76	0	0	NUM
esrj-113518	238	77	0	0	NUM
esrj-113518	238	78	0	0	NUM
esrj-113518	238	79	0	0	NUM
esrj-113518	238	80	0	0	NUM
esrj-113518	238	81	1	1	NUM
esrj-113518	238	82	103	103	NUM
esrj-113518	238	83	table	table	NOUN
esrj-113518	238	84	12	12	NUM
esrj-113518	238	85	.	.	PUNCT
esrj-113518	239	1	class	class	NOUN
esrj-113518	239	2	vise	vise	PROPN
esrj-113518	239	3	comparison	comparison	NOUN
esrj-113518	239	4	of	of	ADP
esrj-113518	239	5	aid	aid	NOUN
esrj-113518	239	6	dataset	dataset	VERB
esrj-113518	239	7	for	for	ADP
esrj-113518	239	8	proposed	propose	VERB
esrj-113518	239	9	resnet50	resnet50	NOUN
esrj-113518	239	10	proposed	propose	VERB
esrj-113518	239	11	resnet50	resnet50	NOUN
esrj-113518	239	12	epochs30	epochs30	PROPN
esrj-113518	239	13	epochs20	epochs20	ADJ
esrj-113518	239	14	aid	aid	NOUN
esrj-113518	239	15	labels	label	NOUN
esrj-113518	239	16	precision	precision	NOUN
esrj-113518	239	17	recall	recall	NOUN
esrj-113518	239	18	f1score	f1score	PROPN
esrj-113518	239	19	precision	precision	PROPN
esrj-113518	239	20	recall	recall	NOUN
esrj-113518	239	21	f1score	f1score	PROPN
esrj-113518	239	22	airport	airport	NOUN
esrj-113518	239	23	98.09	98.09	NUM
esrj-113518	239	24	%	%	NOUN
esrj-113518	239	25	99.03	99.03	NUM
esrj-113518	239	26	%	%	NOUN
esrj-113518	239	27	0.99	0.99	NUM
esrj-113518	239	28	96.29	96.29	NUM
esrj-113518	239	29	%	%	NOUN
esrj-113518	239	30	98.11	98.11	NUM
esrj-113518	239	31	%	%	NOUN
esrj-113518	239	32	0.97	0.97	NUM
esrj-113518	239	33	bare	bare	ADJ
esrj-113518	239	34	land	land	NOUN
esrj-113518	239	35	96.77	96.77	NUM
esrj-113518	239	36	%	%	NOUN
esrj-113518	239	37	98.90	98.90	NUM
esrj-113518	239	38	%	%	NOUN
esrj-113518	239	39	0.98	0.98	NUM
esrj-113518	239	40	97.85	97.85	NUM
esrj-113518	239	41	%	%	NOUN
esrj-113518	239	42	97.84	97.84	NUM
esrj-113518	239	43	%	%	NOUN
esrj-113518	239	44	0.98	0.98	NUM
esrj-113518	239	45	baseball	baseball	NOUN
esrj-113518	239	46	field	field	NOUN
esrj-113518	239	47	96.67	96.67	NUM
esrj-113518	239	48	%	%	NOUN
esrj-113518	239	49	99.14	99.14	NUM
esrj-113518	239	50	%	%	NOUN
esrj-113518	239	51	0.98	0.98	NUM
esrj-113518	239	52	98.33	98.33	NUM
esrj-113518	239	53	%	%	NOUN
esrj-113518	239	54	100	100	NUM
esrj-113518	239	55	%	%	NOUN
esrj-113518	239	56	0.99	0.99	NUM
esrj-113518	239	57	beach	beach	NOUN
esrj-113518	239	58	99.07	99.07	NUM
esrj-113518	239	59	%	%	NOUN
esrj-113518	239	60	94.69	94.69	NUM
esrj-113518	239	61	%	%	NOUN
esrj-113518	239	62	0.97	0.97	NUM
esrj-113518	239	63	100	100	NUM
esrj-113518	239	64	%	%	NOUN
esrj-113518	239	65	97.29	97.29	NUM
esrj-113518	239	66	%	%	NOUN
esrj-113518	239	67	0.99	0.99	NUM
esrj-113518	239	68	bridge	bridge	NOUN
esrj-113518	239	69	96.74	96.74	NUM
esrj-113518	239	70	%	%	NOUN
esrj-113518	239	71	98.34	98.34	NUM
esrj-113518	239	72	%	%	NOUN
esrj-113518	239	73	0.98	0.98	NUM
esrj-113518	239	74	96.74	96.74	NUM
esrj-113518	239	75	%	%	NOUN
esrj-113518	239	76	94.44	94.44	NUM
esrj-113518	239	77	%	%	NOUN
esrj-113518	239	78	0.96	0.96	NUM
esrj-113518	239	79	center	center	NOUN
esrj-113518	239	80	100	100	NUM
esrj-113518	239	81	%	%	NOUN
esrj-113518	239	82	96.77	96.77	NUM
esrj-113518	239	83	%	%	NOUN
esrj-113518	239	84	0.98	0.98	NUM
esrj-113518	239	85	97.77	97.77	NUM
esrj-113518	239	86	%	%	NOUN
esrj-113518	239	87	98.87	98.87	NUM
esrj-113518	239	88	%	%	NOUN
esrj-113518	239	89	0.98	0.98	NUM
esrj-113518	239	90	church	church	NOUN
esrj-113518	239	91	100	100	NUM
esrj-113518	239	92	%	%	NOUN
esrj-113518	239	93	98.23	98.23	NUM
esrj-113518	239	94	%	%	NOUN
esrj-113518	239	95	0.99	0.99	NUM
esrj-113518	239	96	99.09	99.09	NUM
esrj-113518	239	97	%	%	NOUN
esrj-113518	239	98	99.09	99.09	NUM
esrj-113518	239	99	%	%	NOUN
esrj-113518	239	100	0.99	0.99	NUM
esrj-113518	239	101	commercial	commercial	ADJ
esrj-113518	239	102	100	100	NUM
esrj-113518	239	103	%	%	NOUN
esrj-113518	239	104	98.68	98.68	NUM
esrj-113518	239	105	%	%	NOUN
esrj-113518	239	106	0.99	0.99	NUM
esrj-113518	239	107	100	100	NUM
esrj-113518	239	108	%	%	NOUN
esrj-113518	239	109	98.68	98.68	NUM
esrj-113518	239	110	%	%	NOUN
esrj-113518	239	111	0.99	0.99	NUM
esrj-113518	239	112	dense	dense	ADJ
esrj-113518	239	113	residential	residential	ADJ
esrj-113518	239	114	94.87	94.87	NUM
esrj-113518	239	115	%	%	NOUN
esrj-113518	239	116	98.23	98.23	NUM
esrj-113518	239	117	%	%	NOUN
esrj-113518	239	118	0.97	0.97	NUM
esrj-113518	239	119	90.59	90.59	NUM
esrj-113518	239	120	%	%	NOUN
esrj-113518	239	121	92.98	92.98	NUM
esrj-113518	239	122	%	%	NOUN
esrj-113518	239	123	0.92	0.92	NUM
esrj-113518	239	124	desert	desert	NOUN
esrj-113518	239	125	97.61	97.61	NUM
esrj-113518	239	126	%	%	NOUN
esrj-113518	239	127	98.79	98.79	NUM
esrj-113518	239	128	%	%	NOUN
esrj-113518	239	129	0.98	0.98	NUM
esrj-113518	239	130	97.61	97.61	NUM
esrj-113518	239	131	%	%	NOUN
esrj-113518	239	132	98.79	98.79	NUM
esrj-113518	239	133	%	%	NOUN
esrj-113518	239	134	0.98	0.98	NUM
esrj-113518	239	135	farm	farm	NOUN
esrj-113518	239	136	land	land	NOUN
esrj-113518	239	137	98.85	98.85	NUM
esrj-113518	239	138	%	%	NOUN
esrj-113518	239	139	98.85	98.85	NUM
esrj-113518	239	140	%	%	NOUN
esrj-113518	239	141	0.99	0.99	NUM
esrj-113518	239	142	95.40	95.40	NUM
esrj-113518	239	143	%	%	NOUN
esrj-113518	239	144	95.34	95.34	NUM
esrj-113518	239	145	%	%	NOUN
esrj-113518	239	146	0.95	0.95	NUM
esrj-113518	239	147	forest	forest	NOUN
esrj-113518	239	148	99.01	99.01	NUM
esrj-113518	239	149	%	%	NOUN
esrj-113518	239	150	100	100	NUM
esrj-113518	239	151	%	%	NOUN
esrj-113518	239	152	1.00	1.00	NUM
esrj-113518	239	153	100	100	NUM
esrj-113518	239	154	%	%	NOUN
esrj-113518	239	155	100	100	NUM
esrj-113518	239	156	%	%	NOUN
esrj-113518	239	157	1.00	1.00	NUM
esrj-113518	239	158	industrial	industrial	ADJ
esrj-113518	239	159	99.14	99.14	NUM
esrj-113518	239	160	%	%	NOUN
esrj-113518	239	161	97.47	97.47	NUM
esrj-113518	239	162	%	%	NOUN
esrj-113518	239	163	0.98	0.98	NUM
esrj-113518	239	164	99.14	99.14	NUM
esrj-113518	239	165	%	%	NOUN
esrj-113518	239	166	99.14	99.14	NUM
esrj-113518	239	167	%	%	NOUN
esrj-113518	239	168	0.99	0.99	NUM
esrj-113518	239	169	meadow	meadow	NOUN
esrj-113518	239	170	96.19	96.19	NUM
esrj-113518	239	171	%	%	NOUN
esrj-113518	239	172	99.01	99.01	NUM
esrj-113518	239	173	%	%	NOUN
esrj-113518	239	174	0.98	0.98	NUM
esrj-113518	239	175	95.23	95.23	NUM
esrj-113518	239	176	%	%	NOUN
esrj-113518	239	177	96.15	96.15	NUM
esrj-113518	239	178	%	%	NOUN
esrj-113518	239	179	0.96	0.96	NUM
esrj-113518	239	180	medium	medium	NOUN
esrj-113518	239	181	residential	residential	ADJ
esrj-113518	239	182	100	100	NUM
esrj-113518	239	183	%	%	NOUN
esrj-113518	239	184	97.05	97.05	NUM
esrj-113518	239	185	%	%	NOUN
esrj-113518	239	186	0.99	0.99	NUM
esrj-113518	239	187	100	100	NUM
esrj-113518	239	188	%	%	NOUN
esrj-113518	239	189	100	100	NUM
esrj-113518	239	190	%	%	NOUN
esrj-113518	239	191	1.00	1.00	NUM
esrj-113518	239	192	mountains	mountain	NOUN
esrj-113518	239	193	92.32	92.32	NUM
esrj-113518	239	194	%	%	NOUN
esrj-113518	239	195	97.29	97.29	NUM
esrj-113518	239	196	%	%	NOUN
esrj-113518	239	197	0.95	0.95	NUM
esrj-113518	239	198	88.46	88.46	NUM
esrj-113518	239	199	%	%	NOUN
esrj-113518	239	200	90.78	90.78	NUM
esrj-113518	239	201	%	%	NOUN
esrj-113518	239	202	0.90	0.90	NUM
esrj-113518	239	203	parking	parking	NOUN
esrj-113518	239	204	97.22	97.22	NUM
esrj-113518	239	205	%	%	NOUN
esrj-113518	239	206	92.10	92.10	NUM
esrj-113518	239	207	%	%	NOUN
esrj-113518	239	208	0.95	0.95	NUM
esrj-113518	239	209	87.50	87.50	NUM
esrj-113518	239	210	%	%	NOUN
esrj-113518	239	211	91.30	91.30	NUM
esrj-113518	239	212	%	%	NOUN
esrj-113518	239	213	0.89	0.89	NUM
esrj-113518	239	214	pond	pond	NOUN
esrj-113518	239	215	98.09	98.09	NUM
esrj-113518	239	216	%	%	NOUN
esrj-113518	239	217	94.49	94.49	NUM
esrj-113518	239	218	%	%	NOUN
esrj-113518	239	219	0.96	0.96	NUM
esrj-113518	239	220	99.04	99.04	NUM
esrj-113518	239	221	%	%	NOUN
esrj-113518	239	222	92.03	92.03	NUM
esrj-113518	239	223	%	%	NOUN
esrj-113518	239	224	0.95	0.95	NUM
esrj-113518	239	225	417classification	417classification	PROPN
esrj-113518	239	226	of	of	ADP
esrj-113518	239	227	remote	remote	ADJ
esrj-113518	239	228	sensing	sense	VERB
esrj-113518	239	229	datasets	dataset	NOUN
esrj-113518	239	230	with	with	ADP
esrj-113518	239	231	different	different	ADJ
esrj-113518	239	232	deep	deep	ADJ
esrj-113518	239	233	learning	learning	NOUN
esrj-113518	239	234	architectures	architecture	NOUN
esrj-113518	239	235	table	table	VERB
esrj-113518	239	236	13	13	NUM
esrj-113518	239	237	.	.	PUNCT
esrj-113518	240	1	confusion	confusion	NOUN
esrj-113518	240	2	matrix	matrix	NOUN
esrj-113518	240	3	for	for	ADP
esrj-113518	240	4	aider	aider	NOUN
esrj-113518	240	5	dataset	dataset	NOUN
esrj-113518	240	6	using	use	VERB
esrj-113518	240	7	proposed	propose	VERB
esrj-113518	240	8	resnet50	resnet50	NOUN
esrj-113518	240	9	for	for	ADP
esrj-113518	240	10	epochs	epoch	NOUN
esrj-113518	240	11	30	30	NUM
esrj-113518	240	12	traffic	traffic	NOUN
esrj-113518	240	13	incident	incident	NOUN
esrj-113518	240	14	normal	normal	ADJ
esrj-113518	240	15	flooded	flood	VERB
esrj-113518	240	16	areas	area	NOUN
esrj-113518	240	17	fire	fire	VERB
esrj-113518	240	18	collapsed	collapse	VERB
esrj-113518	240	19	building	build	VERB
esrj-113518	240	20	traffic	traffic	NOUN
esrj-113518	240	21	incident	incident	NOUN
esrj-113518	240	22	142	142	NUM
esrj-113518	240	23	0	0	NUM
esrj-113518	240	24	2	2	NUM
esrj-113518	240	25	8	8	NUM
esrj-113518	240	26	1	1	NUM
esrj-113518	240	27	normal	normal	ADJ
esrj-113518	240	28	1	1	NUM
esrj-113518	240	29	152	152	NUM
esrj-113518	240	30	0	0	NUM
esrj-113518	240	31	3	3	NUM
esrj-113518	240	32	0	0	NUM
esrj-113518	240	33	flooded	flood	VERB
esrj-113518	240	34	areas	area	NOUN
esrj-113518	240	35	0	0	NUM
esrj-113518	240	36	0	0	NUM
esrj-113518	240	37	152	152	NUM
esrj-113518	240	38	3	3	NUM
esrj-113518	240	39	3	3	NUM
esrj-113518	240	40	fire	fire	NOUN
esrj-113518	240	41	3	3	NUM
esrj-113518	240	42	3	3	NUM
esrj-113518	240	43	4	4	NUM
esrj-113518	240	44	1300	1300	NUM
esrj-113518	240	45	7	7	NUM
esrj-113518	240	46	collapsed	collapse	VERB
esrj-113518	240	47	building	build	VERB
esrj-113518	240	48	1	1	NUM
esrj-113518	240	49	0	0	NUM
esrj-113518	240	50	1	1	NUM
esrj-113518	240	51	9	9	NUM
esrj-113518	240	52	134	134	NUM
esrj-113518	240	53	table	table	NOUN
esrj-113518	240	54	14	14	NUM
esrj-113518	240	55	.	.	PUNCT
esrj-113518	241	1	confusion	confusion	NOUN
esrj-113518	241	2	matrix	matrix	NOUN
esrj-113518	241	3	for	for	ADP
esrj-113518	241	4	aider	aider	NOUN
esrj-113518	241	5	dataset	dataset	NOUN
esrj-113518	241	6	using	use	VERB
esrj-113518	241	7	proposed	propose	VERB
esrj-113518	241	8	resnet50	resnet50	NOUN
esrj-113518	241	9	for	for	ADP
esrj-113518	241	10	epochs	epoch	NOUN
esrj-113518	241	11	20	20	NUM
esrj-113518	241	12	traffic	traffic	NOUN
esrj-113518	241	13	incident	incident	NOUN
esrj-113518	241	14	normal	normal	ADJ
esrj-113518	241	15	flooded	flood	VERB
esrj-113518	241	16	areas	area	NOUN
esrj-113518	241	17	fire	fire	VERB
esrj-113518	241	18	collapsed	collapse	VERB
esrj-113518	241	19	building	build	VERB
esrj-113518	241	20	traffic	traffic	NOUN
esrj-113518	241	21	incident	incident	NOUN
esrj-113518	241	22	142	142	NUM
esrj-113518	241	23	0	0	NUM
esrj-113518	241	24	2	2	NUM
esrj-113518	241	25	8	8	NUM
esrj-113518	241	26	1	1	NUM
esrj-113518	241	27	normal	normal	ADJ
esrj-113518	241	28	1	1	NUM
esrj-113518	241	29	152	152	NUM
esrj-113518	241	30	0	0	NUM
esrj-113518	241	31	3	3	NUM
esrj-113518	241	32	0	0	NUM
esrj-113518	241	33	flooded	flood	VERB
esrj-113518	241	34	areas	area	NOUN
esrj-113518	241	35	0	0	NUM
esrj-113518	241	36	0	0	NUM
esrj-113518	241	37	152	152	NUM
esrj-113518	241	38	3	3	NUM
esrj-113518	241	39	3	3	NUM
esrj-113518	241	40	fire	fire	NOUN
esrj-113518	241	41	3	3	NUM
esrj-113518	241	42	3	3	NUM
esrj-113518	241	43	4	4	NUM
esrj-113518	241	44	1300	1300	NUM
esrj-113518	241	45	7	7	NUM
esrj-113518	241	46	collapsed	collapse	VERB
esrj-113518	241	47	building	build	VERB
esrj-113518	241	48	1	1	NUM
esrj-113518	241	49	0	0	NUM
esrj-113518	241	50	1	1	NUM
esrj-113518	241	51	9	9	NUM
esrj-113518	241	52	134	134	NUM
esrj-113518	241	53	table	table	NOUN
esrj-113518	241	54	15	15	NUM
esrj-113518	241	55	.	.	PUNCT
esrj-113518	242	1	class	class	NOUN
esrj-113518	242	2	vise	vise	PROPN
esrj-113518	242	3	comparison	comparison	NOUN
esrj-113518	242	4	of	of	ADP
esrj-113518	242	5	aider	aider	NOUN
esrj-113518	242	6	dataset	dataset	NOUN
esrj-113518	242	7	for	for	ADP
esrj-113518	242	8	proposed	propose	VERB
esrj-113518	242	9	resnet50	resnet50	NOUN
esrj-113518	242	10	proposed	propose	VERB
esrj-113518	242	11	resnet50	resnet50	NOUN
esrj-113518	242	12	epochs20	epochs20	NOUN
esrj-113518	242	13	epochs30	epochs30	NOUN
esrj-113518	242	14	aider	aider	NOUN
esrj-113518	242	15	labels	label	NOUN
esrj-113518	242	16	precision	precision	NOUN
esrj-113518	242	17	recall	recall	NOUN
esrj-113518	242	18	f1score	f1score	PROPN
esrj-113518	242	19	precision	precision	PROPN
esrj-113518	242	20	recall	recall	NOUN
esrj-113518	242	21	f1score	f1score	PROPN
esrj-113518	242	22	traffic	traffic	NOUN
esrj-113518	242	23	incident	incident	NOUN
esrj-113518	242	24	92.82	92.82	NUM
esrj-113518	242	25	%	%	NOUN
esrj-113518	242	26	96.59	96.59	NUM
esrj-113518	242	27	%	%	NOUN
esrj-113518	242	28	0.94	0.94	NUM
esrj-113518	242	29	93.33	93.33	NUM
esrj-113518	242	30	%	%	NOUN
esrj-113518	242	31	92.72	92.72	NUM
esrj-113518	242	32	%	%	NOUN
esrj-113518	242	33	0.93	0.93	NUM
esrj-113518	242	34	normal	normal	ADJ
esrj-113518	242	35	97.43	97.43	NUM
esrj-113518	242	36	%	%	NOUN
esrj-113518	242	37	98.06	98.06	NUM
esrj-113518	242	38	%	%	NOUN
esrj-113518	242	39	0.97	0.97	NUM
esrj-113518	242	40	96.77	96.77	NUM
esrj-113518	242	41	%	%	NOUN
esrj-113518	242	42	96.15	96.15	NUM
esrj-113518	242	43	%	%	NOUN
esrj-113518	242	44	0.96	0.96	NUM
esrj-113518	242	45	flooded	flood	VERB
esrj-113518	242	46	areas	area	NOUN
esrj-113518	242	47	96.20	96.20	NUM
esrj-113518	242	48	%	%	NOUN
esrj-113518	242	49	95.59	95.59	NUM
esrj-113518	242	50	%	%	NOUN
esrj-113518	242	51	0.96	0.96	NUM
esrj-113518	242	52	98.08	98.08	NUM
esrj-113518	242	53	%	%	NOUN
esrj-113518	242	54	99.35	99.35	NUM
esrj-113518	242	55	%	%	NOUN
esrj-113518	242	56	0.99	0.99	NUM
esrj-113518	242	57	fire	fire	NOUN
esrj-113518	242	58	98.70	98.70	NUM
esrj-113518	242	59	%	%	NOUN
esrj-113518	242	60	98.26	98.26	NUM
esrj-113518	242	61	%	%	NOUN
esrj-113518	242	62	0.98	0.98	NUM
esrj-113518	242	63	98.62	98.62	NUM
esrj-113518	242	64	%	%	NOUN
esrj-113518	242	65	98.25	98.25	NUM
esrj-113518	242	66	%	%	NOUN
esrj-113518	242	67	0.98	0.98	NUM
esrj-113518	242	68	collapsed	collapse	VERB
esrj-113518	242	69	building	build	VERB
esrj-113518	242	70	92.41	92.41	NUM
esrj-113518	242	71	%	%	NOUN
esrj-113518	242	72	92.41	92.41	NUM
esrj-113518	242	73	%	%	NOUN
esrj-113518	242	74	0.92	0.92	NUM
esrj-113518	242	75	87.66	87.66	NUM
esrj-113518	242	76	%	%	NOUN
esrj-113518	242	77	93.10	93.10	NUM
esrj-113518	242	78	%	%	NOUN
esrj-113518	242	79	0.90	0.90	NUM
esrj-113518	242	80	5	5	NUM
esrj-113518	242	81	.	.	PUNCT
esrj-113518	243	1	conclusion	conclusion	VERB
esrj-113518	243	2	the	the	DET
esrj-113518	243	3	effectiveness	effectiveness	NOUN
esrj-113518	243	4	of	of	ADP
esrj-113518	243	5	the	the	DET
esrj-113518	243	6	deep	deep	ADJ
esrj-113518	243	7	learning	learning	NOUN
esrj-113518	243	8	-	-	PUNCT
esrj-113518	243	9	based	base	VERB
esrj-113518	243	10	model	model	NOUN
esrj-113518	243	11	in	in	ADP
esrj-113518	243	12	accurately	accurately	ADV
esrj-113518	243	13	classifying	classify	VERB
esrj-113518	243	14	uav	uav	PROPN
esrj-113518	243	15	images	image	NOUN
esrj-113518	243	16	,	,	PUNCT
esrj-113518	243	17	showcasing	showcase	VERB
esrj-113518	243	18	its	its	PRON
esrj-113518	243	19	potential	potential	NOUN
esrj-113518	243	20	for	for	ADP
esrj-113518	243	21	real	real	ADJ
esrj-113518	243	22	-	-	PUNCT
esrj-113518	243	23	world	world	NOUN
esrj-113518	243	24	applications	application	NOUN
esrj-113518	243	25	.	.	PUNCT
esrj-113518	244	1	the	the	DET
esrj-113518	244	2	scalability	scalability	NOUN
esrj-113518	244	3	and	and	CCONJ
esrj-113518	244	4	adaptability	adaptability	NOUN
esrj-113518	244	5	of	of	ADP
esrj-113518	244	6	the	the	DET
esrj-113518	244	7	proposed	propose	VERB
esrj-113518	244	8	resnet50	resnet50	NOUN
esrj-113518	244	9	make	make	VERB
esrj-113518	244	10	it	it	PRON
esrj-113518	244	11	suitable	suitable	ADJ
esrj-113518	244	12	for	for	ADP
esrj-113518	244	13	addressing	address	VERB
esrj-113518	244	14	challenges	challenge	NOUN
esrj-113518	244	15	in	in	ADP
esrj-113518	244	16	monitoring	monitoring	NOUN
esrj-113518	244	17	and	and	CCONJ
esrj-113518	244	18	managing	manage	VERB
esrj-113518	244	19	large	large	ADJ
esrj-113518	244	20	-	-	PUNCT
esrj-113518	244	21	scale	scale	NOUN
esrj-113518	244	22	geographic	geographic	ADJ
esrj-113518	244	23	areas	area	NOUN
esrj-113518	244	24	especially	especially	ADV
esrj-113518	244	25	for	for	ADP
esrj-113518	244	26	aid	aid	NOUN
esrj-113518	244	27	and	and	CCONJ
esrj-113518	244	28	aider	aider	NOUN
esrj-113518	244	29	datasets	dataset	NOUN
esrj-113518	244	30	.	.	PUNCT
esrj-113518	245	1	the	the	DET
esrj-113518	245	2	evaluations	evaluation	NOUN
esrj-113518	245	3	models	model	NOUN
esrj-113518	245	4	such	such	ADJ
esrj-113518	245	5	as	as	ADP
esrj-113518	245	6	;	;	PUNCT
esrj-113518	245	7	accuracy	accuracy	NOUN
esrj-113518	245	8	precision	precision	NOUN
esrj-113518	245	9	,	,	PUNCT
esrj-113518	245	10	recall	recall	NOUN
esrj-113518	245	11	,	,	PUNCT
esrj-113518	245	12	and	and	CCONJ
esrj-113518	245	13	f1	f1	NOUN
esrj-113518	245	14	score	score	NOUN
esrj-113518	245	15	have	have	AUX
esrj-113518	245	16	been	be	AUX
esrj-113518	245	17	used	use	VERB
esrj-113518	245	18	to	to	PART
esrj-113518	245	19	assess	assess	VERB
esrj-113518	245	20	the	the	DET
esrj-113518	245	21	model	model	NOUN
esrj-113518	245	22	’s	’s	PART
esrj-113518	245	23	performance	performance	NOUN
esrj-113518	245	24	.	.	PUNCT
esrj-113518	246	1	this	this	DET
esrj-113518	246	2	research	research	NOUN
esrj-113518	246	3	contributes	contribute	VERB
esrj-113518	246	4	to	to	ADP
esrj-113518	246	5	the	the	DET
esrj-113518	246	6	advancement	advancement	NOUN
esrj-113518	246	7	of	of	ADP
esrj-113518	246	8	uav	uav	PROPN
esrj-113518	246	9	image	image	NOUN
esrj-113518	246	10	analysis	analysis	NOUN
esrj-113518	246	11	by	by	ADP
esrj-113518	246	12	introducing	introduce	VERB
esrj-113518	246	13	a	a	DET
esrj-113518	246	14	robust	robust	ADJ
esrj-113518	246	15	deep	deep	ADJ
esrj-113518	246	16	learning	learning	NOUN
esrj-113518	246	17	-	-	PUNCT
esrj-113518	246	18	based	base	VERB
esrj-113518	246	19	framework	framework	NOUN
esrj-113518	246	20	for	for	ADP
esrj-113518	246	21	supervised	supervised	ADJ
esrj-113518	246	22	image	image	NOUN
esrj-113518	246	23	classification	classification	NOUN
esrj-113518	246	24	.	.	PUNCT
esrj-113518	247	1	the	the	DET
esrj-113518	247	2	outcomes	outcome	NOUN
esrj-113518	247	3	underscore	underscore	VERB
esrj-113518	247	4	the	the	DET
esrj-113518	247	5	significance	significance	NOUN
esrj-113518	247	6	of	of	ADP
esrj-113518	247	7	leveraging	leverage	VERB
esrj-113518	247	8	state	state	NOUN
esrj-113518	247	9	-	-	PUNCT
esrj-113518	247	10	of	of	ADP
esrj-113518	247	11	-	-	PUNCT
esrj-113518	247	12	the	the	DET
esrj-113518	247	13	-	-	PUNCT
esrj-113518	247	14	art	art	NOUN
esrj-113518	247	15	technologies	technology	NOUN
esrj-113518	247	16	to	to	PART
esrj-113518	247	17	enhance	enhance	VERB
esrj-113518	247	18	the	the	DET
esrj-113518	247	19	precision	precision	NOUN
esrj-113518	247	20	and	and	CCONJ
esrj-113518	247	21	efficiency	efficiency	NOUN
esrj-113518	247	22	of	of	ADP
esrj-113518	247	23	land	land	NOUN
esrj-113518	247	24	cover	cover	NOUN
esrj-113518	247	25	mapping	mapping	NOUN
esrj-113518	247	26	using	use	VERB
esrj-113518	247	27	uav	uav	PROPN
esrj-113518	247	28	imagery	imagery	NOUN
esrj-113518	247	29	.	.	PUNCT
esrj-113518	248	1	by	by	ADP
esrj-113518	248	2	performing	perform	VERB
esrj-113518	248	3	different	different	ADJ
esrj-113518	248	4	experimentation	experimentation	NOUN
esrj-113518	248	5	on	on	ADP
esrj-113518	248	6	different	different	ADJ
esrj-113518	248	7	types	type	NOUN
esrj-113518	248	8	of	of	ADP
esrj-113518	248	9	scene	scene	NOUN
esrj-113518	248	10	image	image	NOUN
esrj-113518	248	11	data	datum	NOUN
esrj-113518	248	12	sets	set	NOUN
esrj-113518	248	13	we	we	PRON
esrj-113518	248	14	have	have	AUX
esrj-113518	248	15	come	come	VERB
esrj-113518	248	16	to	to	ADP
esrj-113518	248	17	the	the	DET
esrj-113518	248	18	point	point	NOUN
esrj-113518	248	19	where	where	SCONJ
esrj-113518	248	20	we	we	PRON
esrj-113518	248	21	can	can	AUX
esrj-113518	248	22	say	say	VERB
esrj-113518	248	23	that	that	SCONJ
esrj-113518	248	24	,	,	PUNCT
esrj-113518	248	25	for	for	ADP
esrj-113518	248	26	problems	problem	NOUN
esrj-113518	248	27	like	like	ADP
esrj-113518	248	28	disaster	disaster	NOUN
esrj-113518	248	29	management	management	NOUN
esrj-113518	248	30	where	where	SCONJ
esrj-113518	248	31	we	we	PRON
esrj-113518	248	32	have	have	VERB
esrj-113518	248	33	smaller	small	ADJ
esrj-113518	248	34	data	datum	NOUN
esrj-113518	248	35	sets	set	NOUN
esrj-113518	248	36	where	where	SCONJ
esrj-113518	248	37	we	we	PRON
esrj-113518	248	38	need	need	VERB
esrj-113518	248	39	efficient	efficient	ADJ
esrj-113518	248	40	and	and	CCONJ
esrj-113518	248	41	urgent	urgent	ADJ
esrj-113518	248	42	results	result	NOUN
esrj-113518	248	43	deeper	deep	ADJ
esrj-113518	248	44	networks	network	NOUN
esrj-113518	248	45	are	be	AUX
esrj-113518	248	46	not	not	PART
esrj-113518	248	47	performing	perform	VERB
esrj-113518	248	48	as	as	ADV
esrj-113518	248	49	good	good	ADJ
esrj-113518	248	50	as	as	ADP
esrj-113518	248	51	moderate	moderate	ADJ
esrj-113518	248	52	level	level	NOUN
esrj-113518	248	53	networks	network	NOUN
esrj-113518	248	54	like	like	ADP
esrj-113518	248	55	resnet	resnet	NOUN
esrj-113518	248	56	50	50	NUM
esrj-113518	248	57	.	.	PUNCT
esrj-113518	249	1	we	we	PRON
esrj-113518	249	2	can	can	AUX
esrj-113518	249	3	get	get	VERB
esrj-113518	249	4	excellent	excellent	ADJ
esrj-113518	249	5	results	result	NOUN
esrj-113518	249	6	by	by	ADP
esrj-113518	249	7	altering	alter	VERB
esrj-113518	249	8	few	few	ADJ
esrj-113518	249	9	layers	layer	NOUN
esrj-113518	249	10	and	and	CCONJ
esrj-113518	249	11	by	by	ADP
esrj-113518	249	12	tweaking	tweak	VERB
esrj-113518	249	13	parameters	parameter	NOUN
esrj-113518	249	14	and	and	CCONJ
esrj-113518	249	15	hyper	hyper	ADJ
esrj-113518	249	16	parameters	parameter	NOUN
esrj-113518	249	17	of	of	ADP
esrj-113518	249	18	base	base	ADJ
esrj-113518	249	19	net	net	ADJ
esrj-113518	249	20	resnet50	resnet50	NOUN
esrj-113518	249	21	.	.	PUNCT
esrj-113518	250	1	hence	hence	ADV
esrj-113518	250	2	,	,	PUNCT
esrj-113518	250	3	it	it	PRON
esrj-113518	250	4	wo	will	AUX
esrj-113518	250	5	n’t	not	PART
esrj-113518	250	6	be	be	AUX
esrj-113518	250	7	wrong	wrong	ADJ
esrj-113518	250	8	to	to	PART
esrj-113518	250	9	claim	claim	VERB
esrj-113518	250	10	that	that	SCONJ
esrj-113518	250	11	resnet	resnet	VERB
esrj-113518	250	12	50	50	NUM
esrj-113518	250	13	with	with	ADP
esrj-113518	250	14	minor	minor	ADJ
esrj-113518	250	15	changes	change	NOUN
esrj-113518	250	16	is	be	AUX
esrj-113518	250	17	the	the	DET
esrj-113518	250	18	suitable	suitable	ADJ
esrj-113518	250	19	network	network	NOUN
esrj-113518	250	20	for	for	ADP
esrj-113518	250	21	remote	remote	ADJ
esrj-113518	250	22	sensing	sensing	NOUN
esrj-113518	250	23	images	image	NOUN
esrj-113518	250	24	especially	especially	ADV
esrj-113518	250	25	when	when	SCONJ
esrj-113518	250	26	your	your	PRON
esrj-113518	250	27	data	datum	NOUN
esrj-113518	250	28	set	set	VERB
esrj-113518	250	29	is	be	AUX
esrj-113518	250	30	small	small	ADJ
esrj-113518	250	31	,	,	PUNCT
esrj-113518	250	32	we	we	PRON
esrj-113518	250	33	can	can	AUX
esrj-113518	250	34	get	get	VERB
esrj-113518	250	35	better	well	ADJ
esrj-113518	250	36	accuracy	accuracy	NOUN
esrj-113518	250	37	by	by	ADP
esrj-113518	250	38	performing	perform	VERB
esrj-113518	250	39	network	network	NOUN
esrj-113518	250	40	surgery	surgery	NOUN
esrj-113518	250	41	and	and	CCONJ
esrj-113518	250	42	by	by	ADP
esrj-113518	250	43	tuning	tune	VERB
esrj-113518	250	44	hyper	hyper	ADJ
esrj-113518	250	45	parameters	parameter	NOUN
esrj-113518	250	46	.	.	PUNCT
esrj-113518	251	1	for	for	SCONJ
esrj-113518	251	2	aider	aider	NOUN
esrj-113518	251	3	data	datum	NOUN
esrj-113518	251	4	set	set	VERB
esrj-113518	251	5	we	we	PRON
esrj-113518	251	6	have	have	AUX
esrj-113518	251	7	achieved	achieve	VERB
esrj-113518	251	8	the	the	DET
esrj-113518	251	9	accuracy	accuracy	NOUN
esrj-113518	251	10	of	of	ADP
esrj-113518	251	11	95.75	95.75	NUM
esrj-113518	251	12	%	%	NOUN
esrj-113518	251	13	using	use	VERB
esrj-113518	251	14	resnet50	resnet50	NOUN
esrj-113518	251	15	model	model	NOUN
esrj-113518	251	16	,	,	PUNCT
esrj-113518	251	17	which	which	PRON
esrj-113518	251	18	is	be	AUX
esrj-113518	251	19	better	well	ADJ
esrj-113518	251	20	than	than	ADP
esrj-113518	251	21	latest	late	ADJ
esrj-113518	251	22	published	publish	VERB
esrj-113518	251	23	research	research	NOUN
esrj-113518	251	24	whereas	whereas	SCONJ
esrj-113518	251	25	for	for	ADP
esrj-113518	251	26	aid	aid	NOUN
esrj-113518	251	27	dataset	dataset	NOUN
esrj-113518	251	28	we	we	PRON
esrj-113518	251	29	have	have	AUX
esrj-113518	251	30	achieved	achieve	VERB
esrj-113518	251	31	the	the	DET
esrj-113518	251	32	accuracy	accuracy	NOUN
esrj-113518	251	33	of	of	ADP
esrj-113518	251	34	97.61	97.61	NUM
esrj-113518	251	35	%	%	NOUN
esrj-113518	251	36	using	use	VERB
esrj-113518	251	37	resnet50	resnet50	NOUN
esrj-113518	251	38	model	model	NOUN
esrj-113518	251	39	which	which	PRON
esrj-113518	251	40	is	be	AUX
esrj-113518	251	41	also	also	ADV
esrj-113518	251	42	better	well	ADJ
esrj-113518	251	43	than	than	ADP
esrj-113518	251	44	latest	late	ADJ
esrj-113518	251	45	published	publish	VERB
esrj-113518	251	46	researches	research	NOUN
esrj-113518	251	47	.	.	PUNCT
esrj-113518	252	1	one	one	NUM
esrj-113518	252	2	of	of	ADP
esrj-113518	252	3	the	the	DET
esrj-113518	252	4	limitations	limitation	NOUN
esrj-113518	252	5	of	of	ADP
esrj-113518	252	6	transfer	transfer	NOUN
esrj-113518	252	7	learning	learn	VERB
esrj-113518	252	8	specifically	specifically	ADV
esrj-113518	252	9	for	for	ADP
esrj-113518	252	10	remote	remote	ADJ
esrj-113518	252	11	sensing	sense	VERB
esrj-113518	252	12	imagery	imagery	NOUN
esrj-113518	252	13	is	be	AUX
esrj-113518	252	14	that	that	SCONJ
esrj-113518	252	15	;	;	PUNCT
esrj-113518	252	16	the	the	DET
esrj-113518	252	17	existing	exist	VERB
esrj-113518	252	18	pretrained	pretraine	VERB
esrj-113518	252	19	models	model	NOUN
esrj-113518	252	20	are	be	AUX
esrj-113518	252	21	trained	train	VERB
esrj-113518	252	22	on	on	ADP
esrj-113518	252	23	image	image	NOUN
esrj-113518	252	24	net	net	ADJ
esrj-113518	252	25	dataset	dataset	NOUN
esrj-113518	252	26	,	,	PUNCT
esrj-113518	252	27	although	although	SCONJ
esrj-113518	252	28	it	it	PRON
esrj-113518	252	29	is	be	AUX
esrj-113518	252	30	a	a	DET
esrj-113518	252	31	very	very	ADV
esrj-113518	252	32	big	big	ADJ
esrj-113518	252	33	dataset	dataset	NOUN
esrj-113518	252	34	but	but	CCONJ
esrj-113518	252	35	most	most	ADJ
esrj-113518	252	36	of	of	ADP
esrj-113518	252	37	its	its	PRON
esrj-113518	252	38	images	image	NOUN
esrj-113518	252	39	are	be	AUX
esrj-113518	252	40	not	not	PART
esrj-113518	252	41	related	relate	VERB
esrj-113518	252	42	to	to	ADP
esrj-113518	252	43	remote	remote	ADJ
esrj-113518	252	44	sensing	sensing	NOUN
esrj-113518	252	45	.	.	PUNCT
esrj-113518	253	1	which	which	PRON
esrj-113518	253	2	degraded	degrade	VERB
esrj-113518	253	3	the	the	DET
esrj-113518	253	4	performance	performance	NOUN
esrj-113518	253	5	of	of	ADP
esrj-113518	253	6	cnn	cnn	PROPN
esrj-113518	253	7	models	model	NOUN
esrj-113518	253	8	.	.	PUNCT
esrj-113518	254	1	future	future	ADJ
esrj-113518	254	2	work	work	NOUN
esrj-113518	254	3	may	may	AUX
esrj-113518	254	4	explore	explore	VERB
esrj-113518	254	5	the	the	DET
esrj-113518	254	6	integration	integration	NOUN
esrj-113518	254	7	of	of	ADP
esrj-113518	254	8	temporal	temporal	ADJ
esrj-113518	254	9	information	information	NOUN
esrj-113518	254	10	and	and	CCONJ
esrj-113518	254	11	the	the	DET
esrj-113518	254	12	incorporation	incorporation	NOUN
esrj-113518	254	13	of	of	ADP
esrj-113518	254	14	additional	additional	ADJ
esrj-113518	254	15	modalities	modality	NOUN
esrj-113518	254	16	for	for	ADP
esrj-113518	254	17	a	a	DET
esrj-113518	254	18	more	more	ADV
esrj-113518	254	19	comprehensive	comprehensive	ADJ
esrj-113518	254	20	understanding	understanding	NOUN
esrj-113518	254	21	of	of	ADP
esrj-113518	254	22	dynamic	dynamic	ADJ
esrj-113518	254	23	landscapes	landscape	NOUN
esrj-113518	254	24	.	.	PUNCT
esrj-113518	255	1	code	code	PROPN
esrj-113518	255	2	,	,	PUNCT
esrj-113518	255	3	data	datum	NOUN
esrj-113518	255	4	,	,	PUNCT
esrj-113518	255	5	and	and	CCONJ
esrj-113518	255	6	materials	material	NOUN
esrj-113518	255	7	availability	availability	NOUN
esrj-113518	255	8	the	the	DET
esrj-113518	255	9	data	datum	NOUN
esrj-113518	255	10	presented	present	VERB
esrj-113518	255	11	in	in	ADP
esrj-113518	255	12	this	this	DET
esrj-113518	255	13	study	study	NOUN
esrj-113518	255	14	are	be	AUX
esrj-113518	255	15	available	available	ADJ
esrj-113518	255	16	on	on	ADP
esrj-113518	255	17	request	request	NOUN
esrj-113518	255	18	from	from	ADP
esrj-113518	255	19	the	the	DET
esrj-113518	255	20	corresponding	corresponding	ADJ
esrj-113518	255	21	author	author	NOUN
esrj-113518	255	22	.	.	PUNCT
esrj-113518	256	1	conflict	conflict	NOUN
esrj-113518	256	2	of	of	ADP
esrj-113518	256	3	interest	interest	NOUN
esrj-113518	256	4	the	the	DET
esrj-113518	256	5	authors	author	NOUN
esrj-113518	256	6	declare	declare	VERB
esrj-113518	256	7	no	no	DET
esrj-113518	256	8	conflict	conflict	NOUN
esrj-113518	256	9	of	of	ADP
esrj-113518	256	10	interest	interest	NOUN
esrj-113518	256	11	.	.	PUNCT
esrj-113518	257	1	references	reference	NOUN
esrj-113518	257	2	:	:	PUNCT
esrj-113518	257	3	adegun	adegun	VERB
esrj-113518	257	4	,	,	PUNCT
esrj-113518	257	5	a.	a.	NOUN
esrj-113518	257	6	a.	a.	PROPN
esrj-113518	257	7	,	,	PUNCT
esrj-113518	257	8	viriri	viriri	PROPN
esrj-113518	257	9	,	,	PUNCT
esrj-113518	257	10	s.	s.	PROPN
esrj-113518	257	11	,	,	PUNCT
esrj-113518	257	12	&	&	CCONJ
esrj-113518	257	13	tapamo	tapamo	PROPN
esrj-113518	257	14	,	,	PUNCT
esrj-113518	257	15	j.	j.	PROPN
esrj-113518	257	16	r.	r.	PROPN
esrj-113518	257	17	(	(	PUNCT
esrj-113518	257	18	2023	2023	NUM
esrj-113518	257	19	)	)	PUNCT
esrj-113518	257	20	.	.	PUNCT
esrj-113518	258	1	review	review	NOUN
esrj-113518	258	2	of	of	ADP
esrj-113518	258	3	deep	deep	ADJ
esrj-113518	258	4	learning	learning	NOUN
esrj-113518	258	5	methods	method	NOUN
esrj-113518	258	6	for	for	ADP
esrj-113518	258	7	remote	remote	ADJ
esrj-113518	258	8	sensing	sense	VERB
esrj-113518	258	9	satellite	satellite	NOUN
esrj-113518	258	10	images	image	NOUN
esrj-113518	258	11	classification	classification	NOUN
esrj-113518	258	12	:	:	PUNCT
esrj-113518	258	13	experimental	experimental	ADJ
esrj-113518	258	14	survey	survey	NOUN
esrj-113518	258	15	and	and	CCONJ
esrj-113518	258	16	comparative	comparative	ADJ
esrj-113518	258	17	analysis	analysis	NOUN
esrj-113518	258	18	.	.	PUNCT
esrj-113518	259	1	journal	journal	NOUN
esrj-113518	259	2	of	of	ADP
esrj-113518	259	3	big	big	ADJ
esrj-113518	259	4	data	datum	NOUN
esrj-113518	259	5	,	,	PUNCT
esrj-113518	259	6	10(1	10(1	NUM
esrj-113518	259	7	)	)	PUNCT
esrj-113518	259	8	,	,	PUNCT
esrj-113518	259	9	93	93	NUM
esrj-113518	259	10	.	.	PUNCT
esrj-113518	260	1	https://	https://	PROPN
esrj-113518	260	2	doi.org/10.1186/s40537-023-00772-x	doi.org/10.1186/s40537-023-00772-x	PROPN
esrj-113518	260	3	alganci	alganci	PROPN
esrj-113518	260	4	,	,	PUNCT
esrj-113518	260	5	u.	u.	PROPN
esrj-113518	260	6	,	,	PUNCT
esrj-113518	260	7	soydas	soydas	PROPN
esrj-113518	260	8	,	,	PUNCT
esrj-113518	260	9	m.	m.	NOUN
esrj-113518	260	10	,	,	PUNCT
esrj-113518	260	11	&	&	CCONJ
esrj-113518	260	12	sertel	sertel	PROPN
esrj-113518	260	13	,	,	PUNCT
esrj-113518	260	14	e.	e.	PROPN
esrj-113518	260	15	(	(	PUNCT
esrj-113518	260	16	2020	2020	NUM
esrj-113518	260	17	)	)	PUNCT
esrj-113518	260	18	.	.	PUNCT
esrj-113518	261	1	comparative	comparative	ADJ
esrj-113518	261	2	research	research	NOUN
esrj-113518	261	3	on	on	ADP
esrj-113518	261	4	deep	deep	ADJ
esrj-113518	261	5	learning	learning	NOUN
esrj-113518	261	6	approaches	approach	NOUN
esrj-113518	261	7	for	for	ADP
esrj-113518	261	8	airplane	airplane	NOUN
esrj-113518	261	9	detection	detection	NOUN
esrj-113518	261	10	from	from	ADP
esrj-113518	261	11	very	very	ADV
esrj-113518	261	12	high	high	ADJ
esrj-113518	261	13	-	-	PUNCT
esrj-113518	261	14	resolution	resolution	NOUN
esrj-113518	261	15	satellite	satellite	NOUN
esrj-113518	261	16	images	image	NOUN
esrj-113518	261	17	.	.	PUNCT
esrj-113518	262	1	remote	remote	ADJ
esrj-113518	262	2	sensing	sensing	NOUN
esrj-113518	262	3	,	,	PUNCT
esrj-113518	262	4	12(3	12(3	NUM
esrj-113518	262	5	)	)	PUNCT
esrj-113518	262	6	,	,	PUNCT
esrj-113518	262	7	458	458	NUM
esrj-113518	262	8	.	.	PUNCT
esrj-113518	263	1	https://doi.org/10.3390/	https://doi.org/10.3390/	PROPN
esrj-113518	263	2	rs12030458	rs12030458	NOUN
esrj-113518	263	3	ansith	ansith	PROPN
esrj-113518	263	4	,	,	PUNCT
esrj-113518	263	5	s.	s.	PROPN
esrj-113518	263	6	,	,	PUNCT
esrj-113518	263	7	&	&	CCONJ
esrj-113518	263	8	bini	bini	PROPN
esrj-113518	263	9	,	,	PUNCT
esrj-113518	263	10	a.	a.	NOUN
esrj-113518	263	11	(	(	PUNCT
esrj-113518	263	12	2022	2022	NUM
esrj-113518	263	13	)	)	PUNCT
esrj-113518	263	14	.	.	PUNCT
esrj-113518	264	1	land	land	NOUN
esrj-113518	264	2	use	use	VERB
esrj-113518	264	3	classification	classification	NOUN
esrj-113518	264	4	of	of	ADP
esrj-113518	264	5	high	high	ADJ
esrj-113518	264	6	resolution	resolution	NOUN
esrj-113518	264	7	remote	remote	ADJ
esrj-113518	264	8	sensing	sense	VERB
esrj-113518	264	9	images	image	NOUN
esrj-113518	264	10	using	use	VERB
esrj-113518	264	11	an	an	DET
esrj-113518	264	12	encoder	encoder	NOUN
esrj-113518	264	13	based	base	VERB
esrj-113518	264	14	modified	modify	VERB
esrj-113518	264	15	gan	gan	NOUN
esrj-113518	264	16	architecture	architecture	NOUN
esrj-113518	264	17	.	.	PUNCT
esrj-113518	265	1	displays	display	NOUN
esrj-113518	265	2	,	,	PUNCT
esrj-113518	265	3	74	74	NUM
esrj-113518	265	4	,	,	PUNCT
esrj-113518	265	5	102229	102229	NUM
esrj-113518	265	6	.	.	PUNCT
esrj-113518	266	1	https://doi.org/10.1016/j.displa.2022.102229	https://doi.org/10.1016/j.displa.2022.102229	PROPN
esrj-113518	266	2	arif	arif	PROPN
esrj-113518	266	3	,	,	PUNCT
esrj-113518	266	4	e.	e.	PROPN
esrj-113518	266	5	,	,	PUNCT
esrj-113518	266	6	shahzad	shahzad	PROPN
esrj-113518	266	7	,	,	PUNCT
esrj-113518	266	8	s.	s.	PROPN
esrj-113518	266	9	k.	k.	PROPN
esrj-113518	266	10	,	,	PUNCT
esrj-113518	266	11	iqbal	iqbal	PROPN
esrj-113518	266	12	,	,	PUNCT
esrj-113518	266	13	m.	m.	PROPN
esrj-113518	266	14	w.	w.	PROPN
esrj-113518	266	15	,	,	PUNCT
esrj-113518	266	16	jaffar	jaffar	PROPN
esrj-113518	266	17	,	,	PUNCT
esrj-113518	266	18	m.	m.	NOUN
esrj-113518	266	19	a.	a.	PROPN
esrj-113518	266	20	,	,	PUNCT
esrj-113518	266	21	alshahrani	alshahrani	NOUN
esrj-113518	266	22	,	,	PUNCT
esrj-113518	266	23	a.	a.	PROPN
esrj-113518	266	24	s.	s.	PROPN
esrj-113518	266	25	,	,	PUNCT
esrj-113518	266	26	&	&	CCONJ
esrj-113518	266	27	alghamdi	alghamdi	NOUN
esrj-113518	266	28	,	,	PUNCT
esrj-113518	266	29	a.	a.	NOUN
esrj-113518	266	30	(	(	PUNCT
esrj-113518	266	31	2022	2022	NUM
esrj-113518	266	32	)	)	PUNCT
esrj-113518	266	33	.	.	PUNCT
esrj-113518	267	1	automatic	automatic	ADJ
esrj-113518	267	2	detection	detection	NOUN
esrj-113518	267	3	of	of	ADP
esrj-113518	267	4	weapons	weapon	NOUN
esrj-113518	267	5	in	in	ADP
esrj-113518	267	6	surveillance	surveillance	NOUN
esrj-113518	267	7	cameras	camera	NOUN
esrj-113518	267	8	using	use	VERB
esrj-113518	267	9	efficient	efficient	ADJ
esrj-113518	267	10	-	-	PUNCT
esrj-113518	267	11	net	net	NOUN
esrj-113518	267	12	.	.	PUNCT
esrj-113518	268	1	computers	computer	NOUN
esrj-113518	268	2	,	,	PUNCT
esrj-113518	268	3	materials	material	NOUN
esrj-113518	268	4	&	&	CCONJ
esrj-113518	268	5	continua	continua	PROPN
esrj-113518	268	6	,	,	PUNCT
esrj-113518	268	7	72(3	72(3	NUM
esrj-113518	268	8	)	)	PUNCT
esrj-113518	268	9	.	.	PUNCT
esrj-113518	269	1	doi	doi	NOUN
esrj-113518	269	2	:	:	PUNCT
esrj-113518	269	3	10.32604	10.32604	NUM
esrj-113518	269	4	/	/	SYM
esrj-113518	269	5	cmc.2022.027571	cmc.2022.027571	NOUN
esrj-113518	269	6	basodi	basodi	NOUN
esrj-113518	269	7	,	,	PUNCT
esrj-113518	269	8	s.	s.	PROPN
esrj-113518	269	9	,	,	PUNCT
esrj-113518	269	10	ji	ji	PROPN
esrj-113518	269	11	,	,	PUNCT
esrj-113518	269	12	c.	c.	PROPN
esrj-113518	269	13	,	,	PUNCT
esrj-113518	269	14	zhang	zhang	PROPN
esrj-113518	269	15	,	,	PUNCT
esrj-113518	269	16	h.	h.	PROPN
esrj-113518	269	17	,	,	PUNCT
esrj-113518	269	18	&	&	CCONJ
esrj-113518	269	19	pan	pan	PROPN
esrj-113518	269	20	,	,	PUNCT
esrj-113518	269	21	y.	y.	PROPN
esrj-113518	269	22	(	(	PUNCT
esrj-113518	269	23	2020	2020	NUM
esrj-113518	269	24	)	)	PUNCT
esrj-113518	269	25	.	.	PUNCT
esrj-113518	270	1	gradient	gradient	ADJ
esrj-113518	270	2	amplification	amplification	NOUN
esrj-113518	270	3	:	:	PUNCT
esrj-113518	270	4	an	an	DET
esrj-113518	270	5	efficient	efficient	ADJ
esrj-113518	270	6	way	way	NOUN
esrj-113518	270	7	to	to	PART
esrj-113518	270	8	train	train	VERB
esrj-113518	270	9	deep	deep	ADJ
esrj-113518	270	10	neural	neural	ADJ
esrj-113518	270	11	networks	network	NOUN
esrj-113518	270	12	.	.	PUNCT
esrj-113518	271	1	big	big	ADJ
esrj-113518	271	2	data	data	PROPN
esrj-113518	271	3	mining	mining	NOUN
esrj-113518	271	4	and	and	CCONJ
esrj-113518	271	5	analytics	analytic	NOUN
esrj-113518	271	6	,	,	PUNCT
esrj-113518	271	7	3(3	3(3	NUM
esrj-113518	271	8	)	)	PUNCT
esrj-113518	271	9	,	,	PUNCT
esrj-113518	271	10	196	196	NUM
esrj-113518	271	11	-	-	SYM
esrj-113518	271	12	207	207	NUM
esrj-113518	271	13	.	.	PUNCT
esrj-113518	272	1	broni	broni	NOUN
esrj-113518	272	2	-	-	PUNCT
esrj-113518	272	3	bediako	bediako	ADJ
esrj-113518	272	4	,	,	PUNCT
esrj-113518	272	5	c.	c.	PROPN
esrj-113518	272	6	,	,	PUNCT
esrj-113518	272	7	murata	murata	PROPN
esrj-113518	272	8	,	,	PUNCT
esrj-113518	272	9	y.	y.	PROPN
esrj-113518	272	10	,	,	PUNCT
esrj-113518	272	11	mormille	mormille	PROPN
esrj-113518	272	12	,	,	PUNCT
esrj-113518	272	13	l.	l.	PROPN
esrj-113518	272	14	h.	h.	PROPN
esrj-113518	272	15	,	,	PUNCT
esrj-113518	272	16	&	&	CCONJ
esrj-113518	272	17	atsumi	atsumi	PROPN
esrj-113518	272	18	,	,	PUNCT
esrj-113518	272	19	m.	m.	NOUN
esrj-113518	272	20	(	(	PUNCT
esrj-113518	272	21	2021	2021	NUM
esrj-113518	272	22	)	)	PUNCT
esrj-113518	272	23	.	.	PUNCT
esrj-113518	273	1	searching	search	VERB
esrj-113518	273	2	for	for	ADP
esrj-113518	273	3	cnn	cnn	PROPN
esrj-113518	273	4	architectures	architecture	NOUN
esrj-113518	273	5	for	for	ADP
esrj-113518	273	6	remote	remote	ADJ
esrj-113518	273	7	sensing	sense	VERB
esrj-113518	273	8	scene	scene	NOUN
esrj-113518	273	9	classification	classification	NOUN
esrj-113518	273	10	.	.	PUNCT
esrj-113518	274	1	ieee	ieee	NOUN
esrj-113518	274	2	transactions	transaction	NOUN
esrj-113518	274	3	on	on	ADP
esrj-113518	274	4	geoscience	geoscience	NOUN
esrj-113518	274	5	and	and	CCONJ
esrj-113518	274	6	remote	remote	ADJ
esrj-113518	274	7	sensing	sensing	NOUN
esrj-113518	274	8	,	,	PUNCT
esrj-113518	274	9	60	60	NUM
esrj-113518	274	10	,	,	PUNCT
esrj-113518	274	11	1	1	NUM
esrj-113518	274	12	-	-	SYM
esrj-113518	274	13	13	13	NUM
esrj-113518	274	14	.	.	PUNCT
esrj-113518	275	1	https://doi	https://doi	NOUN
esrj-113518	275	2	.	.	PUNCT
esrj-113518	275	3	org/10.26599	org/10.26599	ADP
esrj-113518	275	4	/	/	SYM
esrj-113518	275	5	bdma.2020.9020004	bdma.2020.9020004	NOUN
esrj-113518	275	6	https://doi.org/10.1186/s40537-023-00772-x	https://doi.org/10.1186/s40537-023-00772-x	NOUN
esrj-113518	275	7	https://doi.org/10.1186/s40537-023-00772-x	https://doi.org/10.1186/s40537-023-00772-x	PROPN
esrj-113518	275	8	https://doi.org/10.3390/rs12030458	https://doi.org/10.3390/rs12030458	PROPN
esrj-113518	275	9	https://doi.org/10.3390/rs12030458	https://doi.org/10.3390/rs12030458	PROPN
esrj-113518	275	10	https://doi.org/10.1016/j.displa.2022.102229	https://doi.org/10.1016/j.displa.2022.102229	ADJ
esrj-113518	275	11	https://doi.org/10.26599/bdma.2020.9020004	https://doi.org/10.26599/bdma.2020.9020004	PROPN
esrj-113518	275	12	https://doi.org/10.26599/bdma.2020.9020004	https://doi.org/10.26599/bdma.2020.9020004	PROPN
esrj-113518	275	13	418	418	NUM
esrj-113518	275	14	maryam	maryam	PROPN
esrj-113518	275	15	mehmood	mehmood	PROPN
esrj-113518	275	16	,	,	PUNCT
esrj-113518	275	17	farhan	farhan	PROPN
esrj-113518	275	18	hussain	hussain	PROPN
esrj-113518	275	19	,	,	PUNCT
esrj-113518	275	20	ahsan	ahsan	PROPN
esrj-113518	275	21	shahzad	shahzad	PROPN
esrj-113518	275	22	,	,	PUNCT
esrj-113518	275	23	nouman	nouman	PROPN
esrj-113518	275	24	ali	ali	PROPN
esrj-113518	275	25	chaudhari	chaudhari	PROPN
esrj-113518	275	26	,	,	PUNCT
esrj-113518	275	27	s.	s.	PROPN
esrj-113518	275	28	,	,	PUNCT
esrj-113518	275	29	sardar	sardar	PROPN
esrj-113518	275	30	,	,	PUNCT
esrj-113518	275	31	v.	v.	PROPN
esrj-113518	275	32	,	,	PUNCT
esrj-113518	275	33	rahul	rahul	PROPN
esrj-113518	275	34	,	,	PUNCT
esrj-113518	275	35	d.	d.	PROPN
esrj-113518	275	36	,	,	PUNCT
esrj-113518	275	37	chandan	chandan	PROPN
esrj-113518	275	38	,	,	PUNCT
esrj-113518	275	39	m.	m.	NOUN
esrj-113518	275	40	,	,	PUNCT
esrj-113518	275	41	shivakale	shivakale	PROPN
esrj-113518	275	42	,	,	PUNCT
esrj-113518	275	43	m.	m.	NOUN
esrj-113518	275	44	s.	s.	PROPN
esrj-113518	275	45	,	,	PUNCT
esrj-113518	275	46	&	&	CCONJ
esrj-113518	275	47	harini	harini	PROPN
esrj-113518	275	48	,	,	PUNCT
esrj-113518	275	49	k.	k.	PROPN
esrj-113518	275	50	(	(	PUNCT
esrj-113518	275	51	2021	2021	NUM
esrj-113518	275	52	)	)	PUNCT
esrj-113518	275	53	.	.	PUNCT
esrj-113518	276	1	performance	performance	NOUN
esrj-113518	276	2	analysis	analysis	NOUN
esrj-113518	276	3	of	of	ADP
esrj-113518	276	4	cnn	cnn	PROPN
esrj-113518	276	5	,	,	PUNCT
esrj-113518	276	6	alexnet	alexnet	PROPN
esrj-113518	276	7	and	and	CCONJ
esrj-113518	276	8	vggnet	vggnet	NOUN
esrj-113518	276	9	models	model	NOUN
esrj-113518	276	10	for	for	ADP
esrj-113518	276	11	drought	drought	NOUN
esrj-113518	276	12	prediction	prediction	NOUN
esrj-113518	276	13	using	use	VERB
esrj-113518	276	14	satellite	satellite	NOUN
esrj-113518	276	15	images	image	NOUN
esrj-113518	276	16	.	.	PUNCT
esrj-113518	277	1	paper	paper	NOUN
esrj-113518	277	2	presented	present	VERB
esrj-113518	277	3	at	at	ADP
esrj-113518	277	4	the	the	DET
esrj-113518	277	5	2021	2021	NUM
esrj-113518	277	6	asian	asian	ADJ
esrj-113518	277	7	conference	conference	NOUN
esrj-113518	277	8	on	on	ADP
esrj-113518	277	9	innovation	innovation	NOUN
esrj-113518	277	10	in	in	ADP
esrj-113518	277	11	technology	technology	NOUN
esrj-113518	277	12	(	(	PUNCT
esrj-113518	277	13	asiancon	asiancon	NOUN
esrj-113518	277	14	)	)	PUNCT
esrj-113518	277	15	.	.	PUNCT
esrj-113518	278	1	https://	https://	PROPN
esrj-113518	278	2	doi.org/10.1109/asiancon51346.2021.9545068	doi.org/10.1109/asiancon51346.2021.9545068	PROPN
esrj-113518	278	3	cheng	cheng	PROPN
esrj-113518	278	4	,	,	PUNCT
esrj-113518	278	5	q.	q.	PROPN
esrj-113518	278	6	,	,	PUNCT
esrj-113518	278	7	huang	huang	PROPN
esrj-113518	278	8	,	,	PUNCT
esrj-113518	278	9	h.	h.	PROPN
esrj-113518	278	10	,	,	PUNCT
esrj-113518	278	11	xu	xu	PROPN
esrj-113518	278	12	,	,	PUNCT
esrj-113518	278	13	y.	y.	PROPN
esrj-113518	278	14	,	,	PUNCT
esrj-113518	278	15	zhou	zhou	PROPN
esrj-113518	278	16	,	,	PUNCT
esrj-113518	278	17	y.	y.	PROPN
esrj-113518	278	18	,	,	PUNCT
esrj-113518	278	19	li	li	PROPN
esrj-113518	278	20	,	,	PUNCT
esrj-113518	278	21	h.	h.	PROPN
esrj-113518	278	22	,	,	PUNCT
esrj-113518	278	23	&	&	CCONJ
esrj-113518	278	24	wang	wang	PROPN
esrj-113518	278	25	,	,	PUNCT
esrj-113518	278	26	z.	z.	PROPN
esrj-113518	278	27	(	(	PUNCT
esrj-113518	278	28	2022	2022	NUM
esrj-113518	278	29	)	)	PUNCT
esrj-113518	278	30	.	.	PUNCT
esrj-113518	279	1	nwpu	nwpu	ADJ
esrj-113518	279	2	-	-	PUNCT
esrj-113518	279	3	captions	caption	NOUN
esrj-113518	279	4	dataset	dataset	NOUN
esrj-113518	279	5	and	and	CCONJ
esrj-113518	279	6	mlca	mlca	NOUN
esrj-113518	279	7	-	-	PUNCT
esrj-113518	279	8	net	net	NOUN
esrj-113518	279	9	for	for	ADP
esrj-113518	279	10	remote	remote	ADJ
esrj-113518	279	11	sensing	sense	VERB
esrj-113518	279	12	image	image	NOUN
esrj-113518	279	13	captioning	captioning	NOUN
esrj-113518	279	14	.	.	PUNCT
esrj-113518	280	1	ieee	ieee	NOUN
esrj-113518	280	2	transactions	transaction	NOUN
esrj-113518	280	3	on	on	ADP
esrj-113518	280	4	geoscience	geoscience	NOUN
esrj-113518	280	5	and	and	CCONJ
esrj-113518	280	6	remote	remote	ADJ
esrj-113518	280	7	sensing	sensing	NOUN
esrj-113518	280	8	,	,	PUNCT
esrj-113518	280	9	60	60	NUM
esrj-113518	280	10	,	,	PUNCT
esrj-113518	280	11	1	1	NUM
esrj-113518	280	12	-	-	SYM
esrj-113518	280	13	19	19	NUM
esrj-113518	280	14	.	.	PUNCT
esrj-113518	281	1	https://doi	https://doi	PROPN
esrj-113518	281	2	.	.	PUNCT
esrj-113518	281	3	org/10.1109	org/10.1109	PROPN
esrj-113518	281	4	/	/	SYM
esrj-113518	281	5	tgrs.2022.3201474	tgrs.2022.3201474	PROPN
esrj-113518	281	6	cheng	cheng	PROPN
esrj-113518	281	7	,	,	PUNCT
esrj-113518	281	8	x.	x.	PROPN
esrj-113518	281	9	,	,	PUNCT
esrj-113518	281	10	he	he	PRON
esrj-113518	281	11	,	,	PUNCT
esrj-113518	281	12	x.	x.	PROPN
esrj-113518	281	13	,	,	PUNCT
esrj-113518	281	14	qiao	qiao	PROPN
esrj-113518	281	15	,	,	PUNCT
esrj-113518	281	16	m.	m.	NOUN
esrj-113518	281	17	,	,	PUNCT
esrj-113518	281	18	li	li	PROPN
esrj-113518	281	19	,	,	PUNCT
esrj-113518	281	20	p.	p.	PROPN
esrj-113518	281	21	,	,	PUNCT
esrj-113518	281	22	hu	hu	PROPN
esrj-113518	281	23	,	,	PUNCT
esrj-113518	281	24	s.	s.	PROPN
esrj-113518	281	25	,	,	PUNCT
esrj-113518	281	26	chang	chang	PROPN
esrj-113518	281	27	,	,	PUNCT
esrj-113518	281	28	p.	p.	PROPN
esrj-113518	281	29	,	,	PUNCT
esrj-113518	281	30	&	&	CCONJ
esrj-113518	281	31	tian	tian	PROPN
esrj-113518	281	32	,	,	PUNCT
esrj-113518	281	33	z.	z.	PROPN
esrj-113518	281	34	(	(	PUNCT
esrj-113518	281	35	2022	2022	NUM
esrj-113518	281	36	)	)	PUNCT
esrj-113518	281	37	.	.	PUNCT
esrj-113518	282	1	enhanced	enhance	VERB
esrj-113518	282	2	contextual	contextual	ADJ
esrj-113518	282	3	representation	representation	NOUN
esrj-113518	282	4	with	with	ADP
esrj-113518	282	5	deep	deep	ADJ
esrj-113518	282	6	neural	neural	ADJ
esrj-113518	282	7	networks	network	NOUN
esrj-113518	282	8	for	for	ADP
esrj-113518	282	9	land	land	NOUN
esrj-113518	282	10	cover	cover	NOUN
esrj-113518	282	11	classification	classification	NOUN
esrj-113518	282	12	based	base	VERB
esrj-113518	282	13	on	on	ADP
esrj-113518	282	14	remote	remote	ADJ
esrj-113518	282	15	sensing	sensing	NOUN
esrj-113518	282	16	images	image	NOUN
esrj-113518	282	17	.	.	PUNCT
esrj-113518	283	1	international	international	ADJ
esrj-113518	283	2	journal	journal	NOUN
esrj-113518	283	3	of	of	ADP
esrj-113518	283	4	applied	apply	VERB
esrj-113518	283	5	earth	earth	NOUN
esrj-113518	283	6	observation	observation	NOUN
esrj-113518	283	7	and	and	CCONJ
esrj-113518	283	8	geoinformation	geoinformation	NOUN
esrj-113518	283	9	,	,	PUNCT
esrj-113518	283	10	107	107	NUM
esrj-113518	283	11	,	,	PUNCT
esrj-113518	283	12	102706	102706	NUM
esrj-113518	283	13	.	.	PUNCT
esrj-113518	284	1	https://	https://	PROPN
esrj-113518	284	2	doi.org/10.1016/j.jag.2022.102706	doi.org/10.1016/j.jag.2022.102706	PROPN
esrj-113518	284	3	hao	hao	PROPN
esrj-113518	284	4	,	,	PUNCT
esrj-113518	284	5	w.	w.	PROPN
esrj-113518	284	6	,	,	PUNCT
esrj-113518	284	7	han	han	PROPN
esrj-113518	284	8	,	,	PUNCT
esrj-113518	284	9	m.	m.	NOUN
esrj-113518	284	10	,	,	PUNCT
esrj-113518	284	11	yang	yang	PROPN
esrj-113518	284	12	,	,	PUNCT
esrj-113518	284	13	h.	h.	PROPN
esrj-113518	284	14	,	,	PUNCT
esrj-113518	284	15	hao	hao	PROPN
esrj-113518	284	16	,	,	PUNCT
esrj-113518	284	17	f.	f.	PROPN
esrj-113518	284	18	,	,	PUNCT
esrj-113518	284	19	&	&	CCONJ
esrj-113518	284	20	li	li	PROPN
esrj-113518	284	21	,	,	PUNCT
esrj-113518	284	22	f.	f.	PROPN
esrj-113518	284	23	(	(	PUNCT
esrj-113518	284	24	2021	2021	NUM
esrj-113518	284	25	)	)	PUNCT
esrj-113518	284	26	.	.	PUNCT
esrj-113518	285	1	a	a	DET
esrj-113518	285	2	novel	novel	ADJ
esrj-113518	285	3	chinese	chinese	ADJ
esrj-113518	285	4	herbal	herbal	ADJ
esrj-113518	285	5	medicine	medicine	NOUN
esrj-113518	285	6	classification	classification	NOUN
esrj-113518	285	7	approach	approach	NOUN
esrj-113518	285	8	based	base	VERB
esrj-113518	285	9	on	on	ADP
esrj-113518	285	10	efficientnet	efficientnet	NOUN
esrj-113518	285	11	.	.	PUNCT
esrj-113518	286	1	systems	system	NOUN
esrj-113518	286	2	science	science	PROPN
esrj-113518	286	3	&	&	CCONJ
esrj-113518	286	4	control	control	PROPN
esrj-113518	286	5	engineering	engineering	PROPN
esrj-113518	286	6	,	,	PUNCT
esrj-113518	286	7	9(1	9(1	NUM
esrj-113518	286	8	)	)	PUNCT
esrj-113518	286	9	,	,	PUNCT
esrj-113518	286	10	304	304	NUM
esrj-113518	286	11	-	-	SYM
esrj-113518	286	12	313	313	NUM
esrj-113518	286	13	.	.	PUNCT
esrj-113518	287	1	https://doi.org/10.1080/2164258	https://doi.org/10.1080/2164258	NOUN
esrj-113518	287	2	3.2021.1901159	3.2021.1901159	NUM
esrj-113518	287	3	he	he	PRON
esrj-113518	287	4	,	,	PUNCT
esrj-113518	287	5	k.	k.	PROPN
esrj-113518	287	6	,	,	PUNCT
esrj-113518	287	7	zhang	zhang	PROPN
esrj-113518	287	8	,	,	PUNCT
esrj-113518	287	9	x.	x.	PROPN
esrj-113518	287	10	,	,	PUNCT
esrj-113518	287	11	ren	ren	PROPN
esrj-113518	287	12	,	,	PUNCT
esrj-113518	287	13	s.	s.	PROPN
esrj-113518	287	14	,	,	PUNCT
esrj-113518	287	15	&	&	CCONJ
esrj-113518	287	16	sun	sun	PROPN
esrj-113518	287	17	,	,	PUNCT
esrj-113518	287	18	j.	j.	PROPN
esrj-113518	287	19	(	(	PUNCT
esrj-113518	287	20	2016	2016	NUM
esrj-113518	287	21	)	)	PUNCT
esrj-113518	287	22	.	.	PUNCT
esrj-113518	288	1	deep	deep	ADJ
esrj-113518	288	2	residual	residual	ADJ
esrj-113518	288	3	learning	learning	NOUN
esrj-113518	288	4	for	for	ADP
esrj-113518	288	5	image	image	NOUN
esrj-113518	288	6	recognition	recognition	NOUN
esrj-113518	288	7	.	.	PUNCT
esrj-113518	289	1	paper	paper	NOUN
esrj-113518	289	2	presented	present	VERB
esrj-113518	289	3	at	at	ADP
esrj-113518	289	4	the	the	DET
esrj-113518	289	5	proceedings	proceeding	NOUN
esrj-113518	289	6	of	of	ADP
esrj-113518	289	7	the	the	DET
esrj-113518	289	8	ieee	ieee	NOUN
esrj-113518	289	9	conference	conference	NOUN
esrj-113518	289	10	on	on	ADP
esrj-113518	289	11	computer	computer	NOUN
esrj-113518	289	12	vision	vision	NOUN
esrj-113518	289	13	and	and	CCONJ
esrj-113518	289	14	pattern	pattern	NOUN
esrj-113518	289	15	recognition	recognition	NOUN
esrj-113518	289	16	.	.	PUNCT
esrj-113518	290	1	he	he	PRON
esrj-113518	290	2	,	,	PUNCT
esrj-113518	290	3	x.	x.	PROPN
esrj-113518	290	4	,	,	PUNCT
esrj-113518	290	5	zhao	zhao	PROPN
esrj-113518	290	6	,	,	PUNCT
esrj-113518	290	7	k.	k.	PROPN
esrj-113518	290	8	,	,	PUNCT
esrj-113518	290	9	&	&	CCONJ
esrj-113518	290	10	chu	chu	PROPN
esrj-113518	290	11	,	,	PUNCT
esrj-113518	290	12	x.	x.	NOUN
esrj-113518	290	13	(	(	PUNCT
esrj-113518	290	14	2021	2021	NUM
esrj-113518	290	15	)	)	PUNCT
esrj-113518	290	16	.	.	PUNCT
esrj-113518	291	1	automl	automl	NOUN
esrj-113518	291	2	:	:	PUNCT
esrj-113518	291	3	a	a	DET
esrj-113518	291	4	survey	survey	NOUN
esrj-113518	291	5	of	of	ADP
esrj-113518	291	6	the	the	DET
esrj-113518	291	7	state	state	NOUN
esrj-113518	291	8	-	-	PUNCT
esrj-113518	291	9	of	of	ADP
esrj-113518	291	10	-	-	PUNCT
esrj-113518	291	11	the	the	DET
esrj-113518	291	12	-	-	PUNCT
esrj-113518	291	13	art	art	NOUN
esrj-113518	291	14	.	.	PUNCT
esrj-113518	292	1	knowledge	knowledge	NOUN
esrj-113518	292	2	-	-	PUNCT
esrj-113518	292	3	based	base	VERB
esrj-113518	292	4	systems	system	NOUN
esrj-113518	292	5	,	,	PUNCT
esrj-113518	292	6	212	212	NUM
esrj-113518	292	7	,	,	PUNCT
esrj-113518	292	8	106622	106622	NUM
esrj-113518	292	9	.	.	PUNCT
esrj-113518	293	1	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
esrj-113518	293	2	.	.	PUNCT
esrj-113518	294	1	knosys.2020.106622	knosys.2020.106622	PROPN
esrj-113518	294	2	hoang	hoang	PROPN
esrj-113518	294	3	,	,	PUNCT
esrj-113518	294	4	v.	v.	PROPN
esrj-113518	294	5	t.	t.	PROPN
esrj-113518	294	6	,	,	PUNCT
esrj-113518	294	7	&	&	CCONJ
esrj-113518	294	8	jo	jo	PROPN
esrj-113518	294	9	,	,	PUNCT
esrj-113518	294	10	k.	k.	PROPN
esrj-113518	294	11	h.	h.	PROPN
esrj-113518	294	12	(	(	PUNCT
esrj-113518	294	13	2021	2021	NUM
esrj-113518	294	14	)	)	PUNCT
esrj-113518	294	15	.	.	PUNCT
esrj-113518	295	1	practical	practical	ADJ
esrj-113518	295	2	analysis	analysis	NOUN
esrj-113518	295	3	on	on	ADP
esrj-113518	295	4	architecture	architecture	NOUN
esrj-113518	295	5	of	of	ADP
esrj-113518	295	6	efficientnet	efficientnet	NOUN
esrj-113518	295	7	.	.	PUNCT
esrj-113518	296	1	paper	paper	NOUN
esrj-113518	296	2	presented	present	VERB
esrj-113518	296	3	at	at	ADP
esrj-113518	296	4	the	the	DET
esrj-113518	296	5	2021	2021	NUM
esrj-113518	296	6	14th	14th	ADJ
esrj-113518	296	7	international	international	ADJ
esrj-113518	296	8	conference	conference	NOUN
esrj-113518	296	9	on	on	ADP
esrj-113518	296	10	human	human	ADJ
esrj-113518	296	11	system	system	NOUN
esrj-113518	296	12	interaction	interaction	NOUN
esrj-113518	296	13	(	(	PUNCT
esrj-113518	296	14	hsi	hsi	PROPN
esrj-113518	296	15	)	)	PUNCT
esrj-113518	296	16	.	.	PUNCT
esrj-113518	297	1	https://doi.org/10.1109/	https://doi.org/10.1109/	PROPN
esrj-113518	297	2	hsi52170.2021.9538782	hsi52170.2021.9538782	VERB
esrj-113518	297	3	huang	huang	PROPN
esrj-113518	297	4	,	,	PUNCT
esrj-113518	297	5	g.	g.	PROPN
esrj-113518	297	6	,	,	PUNCT
esrj-113518	297	7	liu	liu	PROPN
esrj-113518	297	8	,	,	PUNCT
esrj-113518	297	9	z.	z.	PROPN
esrj-113518	297	10	,	,	PUNCT
esrj-113518	297	11	van	van	PROPN
esrj-113518	297	12	der	der	NOUN
esrj-113518	297	13	maaten	maaten	VERB
esrj-113518	297	14	,	,	PUNCT
esrj-113518	297	15	l.	l.	PROPN
esrj-113518	297	16	,	,	PUNCT
esrj-113518	297	17	&	&	CCONJ
esrj-113518	297	18	weinberger	weinberger	PROPN
esrj-113518	297	19	,	,	PUNCT
esrj-113518	297	20	k.	k.	PROPN
esrj-113518	297	21	q.	q.	PROPN
esrj-113518	297	22	(	(	PUNCT
esrj-113518	297	23	2017	2017	NUM
esrj-113518	297	24	)	)	PUNCT
esrj-113518	297	25	.	.	PUNCT
esrj-113518	298	1	densely	densely	ADV
esrj-113518	298	2	connected	connect	VERB
esrj-113518	298	3	convolutional	convolutional	ADJ
esrj-113518	298	4	networks	network	NOUN
esrj-113518	298	5	.	.	PUNCT
esrj-113518	299	1	paper	paper	NOUN
esrj-113518	299	2	presented	present	VERB
esrj-113518	299	3	at	at	ADP
esrj-113518	299	4	the	the	DET
esrj-113518	299	5	proceedings	proceeding	NOUN
esrj-113518	299	6	of	of	ADP
esrj-113518	299	7	the	the	DET
esrj-113518	299	8	ieee	ieee	NOUN
esrj-113518	299	9	conference	conference	NOUN
esrj-113518	299	10	on	on	ADP
esrj-113518	299	11	computer	computer	NOUN
esrj-113518	299	12	vision	vision	NOUN
esrj-113518	299	13	and	and	CCONJ
esrj-113518	299	14	pattern	pattern	NOUN
esrj-113518	299	15	recognition	recognition	NOUN
esrj-113518	299	16	.	.	PUNCT
esrj-113518	300	1	jeddi	jeddi	PROPN
esrj-113518	300	2	,	,	PUNCT
esrj-113518	300	3	a.	a.	PROPN
esrj-113518	300	4	b.	b.	PROPN
esrj-113518	300	5	,	,	PUNCT
esrj-113518	300	6	shafieezadeh	shafieezadeh	PROPN
esrj-113518	300	7	,	,	PUNCT
esrj-113518	300	8	a.	a.	PROPN
esrj-113518	300	9	,	,	PUNCT
esrj-113518	300	10	&	&	CCONJ
esrj-113518	300	11	nateghi	nateghi	PROPN
esrj-113518	300	12	,	,	PUNCT
esrj-113518	300	13	r.	r.	PROPN
esrj-113518	300	14	(	(	PUNCT
esrj-113518	300	15	2023	2023	NUM
esrj-113518	300	16	)	)	PUNCT
esrj-113518	300	17	.	.	PUNCT
esrj-113518	301	1	pdp	pdp	PROPN
esrj-113518	301	2	-	-	PUNCT
esrj-113518	301	3	cnn	cnn	PROPN
esrj-113518	301	4	:	:	PUNCT
esrj-113518	301	5	a	a	DET
esrj-113518	301	6	deep	deep	ADJ
esrj-113518	301	7	learning	learning	NOUN
esrj-113518	301	8	model	model	NOUN
esrj-113518	301	9	for	for	ADP
esrj-113518	301	10	post	post	ADJ
esrj-113518	301	11	-	-	ADJ
esrj-113518	301	12	hurricane	hurricane	ADJ
esrj-113518	301	13	reconnaissance	reconnaissance	NOUN
esrj-113518	301	14	of	of	ADP
esrj-113518	301	15	electricity	electricity	NOUN
esrj-113518	301	16	infrastructure	infrastructure	NOUN
esrj-113518	301	17	on	on	ADP
esrj-113518	301	18	resource	resource	NOUN
esrj-113518	301	19	-	-	PUNCT
esrj-113518	301	20	constrained	constrain	VERB
esrj-113518	301	21	embedded	embed	VERB
esrj-113518	301	22	systems	system	NOUN
esrj-113518	301	23	at	at	ADP
esrj-113518	301	24	the	the	DET
esrj-113518	301	25	edge	edge	NOUN
esrj-113518	301	26	.	.	PUNCT
esrj-113518	302	1	ieee	ieee	NOUN
esrj-113518	302	2	transactions	transaction	NOUN
esrj-113518	302	3	on	on	ADP
esrj-113518	302	4	instrumentation	instrumentation	NOUN
esrj-113518	302	5	and	and	CCONJ
esrj-113518	302	6	measurement	measurement	NOUN
esrj-113518	302	7	,	,	PUNCT
esrj-113518	302	8	72	72	NUM
esrj-113518	302	9	,	,	PUNCT
esrj-113518	302	10	1	1	NUM
esrj-113518	302	11	-	-	SYM
esrj-113518	302	12	9	9	NUM
esrj-113518	302	13	.	.	PUNCT
esrj-113518	303	1	https://doi	https://doi	PROPN
esrj-113518	303	2	.	.	PUNCT
esrj-113518	303	3	org/10.1109	org/10.1109	PROPN
esrj-113518	303	4	/	/	SYM
esrj-113518	303	5	tim.2023.3236321	tim.2023.3236321	PROPN
esrj-113518	303	6	khan	khan	PROPN
esrj-113518	303	7	,	,	PUNCT
esrj-113518	303	8	s.	s.	PROPN
esrj-113518	303	9	d.	d.	PROPN
esrj-113518	303	10	,	,	PUNCT
esrj-113518	303	11	alarabi	alarabi	PROPN
esrj-113518	303	12	,	,	PUNCT
esrj-113518	303	13	l.	l.	PROPN
esrj-113518	303	14	,	,	PUNCT
esrj-113518	303	15	&	&	CCONJ
esrj-113518	303	16	basalamah	basalamah	PROPN
esrj-113518	303	17	,	,	PUNCT
esrj-113518	303	18	s.	s.	PROPN
esrj-113518	303	19	(	(	PUNCT
esrj-113518	303	20	2023a	2023a	NUM
esrj-113518	303	21	)	)	PUNCT
esrj-113518	303	22	.	.	PUNCT
esrj-113518	304	1	dsmsa	dsmsa	PROPN
esrj-113518	304	2	-	-	PUNCT
esrj-113518	304	3	net	net	NOUN
esrj-113518	304	4	:	:	PUNCT
esrj-113518	304	5	deep	deep	ADJ
esrj-113518	304	6	spatial	spatial	ADJ
esrj-113518	304	7	and	and	CCONJ
esrj-113518	304	8	multi	multi	ADJ
esrj-113518	304	9	-	-	ADJ
esrj-113518	304	10	scale	scale	ADJ
esrj-113518	304	11	attention	attention	NOUN
esrj-113518	304	12	network	network	NOUN
esrj-113518	304	13	for	for	ADP
esrj-113518	304	14	road	road	NOUN
esrj-113518	304	15	extraction	extraction	NOUN
esrj-113518	304	16	in	in	ADP
esrj-113518	304	17	high	high	ADJ
esrj-113518	304	18	spatial	spatial	ADJ
esrj-113518	304	19	resolution	resolution	NOUN
esrj-113518	304	20	satellite	satellite	NOUN
esrj-113518	304	21	images	image	NOUN
esrj-113518	304	22	.	.	PUNCT
esrj-113518	305	1	arabian	arabian	ADJ
esrj-113518	305	2	journal	journal	PROPN
esrj-113518	305	3	for	for	ADP
esrj-113518	305	4	science	science	NOUN
esrj-113518	305	5	and	and	CCONJ
esrj-113518	305	6	engineering	engineering	NOUN
esrj-113518	305	7	,	,	PUNCT
esrj-113518	305	8	48(2	48(2	NUM
esrj-113518	305	9	)	)	PUNCT
esrj-113518	305	10	,	,	PUNCT
esrj-113518	305	11	1907	1907	NUM
esrj-113518	305	12	-	-	SYM
esrj-113518	305	13	1920	1920	NUM
esrj-113518	305	14	.	.	PUNCT
esrj-113518	306	1	https://doi.org/10.1007/s13369-022-07082-z	https://doi.org/10.1007/s13369-022-07082-z	PROPN
esrj-113518	306	2	khan	khan	PROPN
esrj-113518	306	3	,	,	PUNCT
esrj-113518	306	4	s.	s.	PROPN
esrj-113518	306	5	d.	d.	PROPN
esrj-113518	306	6	,	,	PUNCT
esrj-113518	306	7	alarabi	alarabi	PROPN
esrj-113518	306	8	,	,	PUNCT
esrj-113518	306	9	l.	l.	PROPN
esrj-113518	306	10	,	,	PUNCT
esrj-113518	306	11	&	&	CCONJ
esrj-113518	306	12	basalamah	basalamah	PROPN
esrj-113518	306	13	,	,	PUNCT
esrj-113518	306	14	s.	s.	PROPN
esrj-113518	306	15	(	(	PUNCT
esrj-113518	306	16	2023b	2023b	NUM
esrj-113518	306	17	)	)	PUNCT
esrj-113518	306	18	.	.	PUNCT
esrj-113518	307	1	segmentation	segmentation	NOUN
esrj-113518	307	2	of	of	ADP
esrj-113518	307	3	farmlands	farmland	NOUN
esrj-113518	307	4	in	in	ADP
esrj-113518	307	5	aerial	aerial	ADJ
esrj-113518	307	6	images	image	NOUN
esrj-113518	307	7	by	by	ADP
esrj-113518	307	8	deep	deep	ADJ
esrj-113518	307	9	learning	learning	NOUN
esrj-113518	307	10	framework	framework	NOUN
esrj-113518	307	11	with	with	ADP
esrj-113518	307	12	feature	feature	NOUN
esrj-113518	307	13	fusion	fusion	NOUN
esrj-113518	307	14	and	and	CCONJ
esrj-113518	307	15	context	context	NOUN
esrj-113518	307	16	aggregation	aggregation	NOUN
esrj-113518	307	17	modules	module	NOUN
esrj-113518	307	18	.	.	PUNCT
esrj-113518	308	1	multimedia	multimedia	NOUN
esrj-113518	308	2	tools	tool	NOUN
esrj-113518	308	3	and	and	CCONJ
esrj-113518	308	4	applications	application	NOUN
esrj-113518	308	5	,	,	PUNCT
esrj-113518	308	6	82(27	82(27	NUM
esrj-113518	308	7	)	)	PUNCT
esrj-113518	308	8	,	,	PUNCT
esrj-113518	308	9	42353	42353	NUM
esrj-113518	308	10	-	-	SYM
esrj-113518	308	11	42372	42372	NUM
esrj-113518	308	12	.	.	PUNCT
esrj-113518	309	1	https://doi.org/10.1007/s11042-023-14962-5	https://doi.org/10.1007/s11042-023-14962-5	NUM
esrj-113518	309	2	khan	khan	PROPN
esrj-113518	309	3	,	,	PUNCT
esrj-113518	309	4	s.	s.	PROPN
esrj-113518	309	5	d.	d.	PROPN
esrj-113518	309	6	,	,	PUNCT
esrj-113518	309	7	&	&	CCONJ
esrj-113518	309	8	basalamah	basalamah	PROPN
esrj-113518	309	9	,	,	PUNCT
esrj-113518	309	10	s.	s.	PROPN
esrj-113518	309	11	(	(	PUNCT
esrj-113518	309	12	2023	2023	NUM
esrj-113518	309	13	)	)	PUNCT
esrj-113518	309	14	.	.	PUNCT
esrj-113518	310	1	multi	multi	ADJ
esrj-113518	310	2	-	-	ADJ
esrj-113518	310	3	branch	branch	ADJ
esrj-113518	310	4	deep	deep	ADJ
esrj-113518	310	5	learning	learning	NOUN
esrj-113518	310	6	framework	framework	NOUN
esrj-113518	310	7	for	for	ADP
esrj-113518	310	8	land	land	NOUN
esrj-113518	310	9	scene	scene	NOUN
esrj-113518	310	10	classification	classification	NOUN
esrj-113518	310	11	in	in	ADP
esrj-113518	310	12	satellite	satellite	NOUN
esrj-113518	310	13	imagery	imagery	NOUN
esrj-113518	310	14	.	.	PUNCT
esrj-113518	311	1	remote	remote	ADJ
esrj-113518	311	2	sensing	sensing	NOUN
esrj-113518	311	3	,	,	PUNCT
esrj-113518	311	4	15(13	15(13	NUM
esrj-113518	311	5	)	)	PUNCT
esrj-113518	311	6	,	,	PUNCT
esrj-113518	311	7	3408	3408	NUM
esrj-113518	311	8	.	.	PUNCT
esrj-113518	312	1	https://doi.org/10.3390/rs15133408	https://doi.org/10.3390/rs15133408	PROPN
esrj-113518	312	2	krizhevsky	krizhevsky	PROPN
esrj-113518	312	3	,	,	PUNCT
esrj-113518	312	4	a.	a.	PROPN
esrj-113518	312	5	,	,	PUNCT
esrj-113518	312	6	sutskever	sutskever	PROPN
esrj-113518	312	7	,	,	PUNCT
esrj-113518	312	8	i.	i.	PROPN
esrj-113518	312	9	,	,	PUNCT
esrj-113518	312	10	&	&	CCONJ
esrj-113518	312	11	hinton	hinton	PROPN
esrj-113518	312	12	,	,	PUNCT
esrj-113518	312	13	g.	g.	PROPN
esrj-113518	312	14	e.	e.	PROPN
esrj-113518	312	15	(	(	PUNCT
esrj-113518	312	16	2012	2012	NUM
esrj-113518	312	17	)	)	PUNCT
esrj-113518	312	18	.	.	PUNCT
esrj-113518	313	1	imagenet	imagenet	PROPN
esrj-113518	313	2	classification	classification	NOUN
esrj-113518	313	3	with	with	ADP
esrj-113518	313	4	deep	deep	ADJ
esrj-113518	313	5	convolutional	convolutional	ADJ
esrj-113518	313	6	neural	neural	ADJ
esrj-113518	313	7	networks	network	NOUN
esrj-113518	313	8	.	.	PUNCT
esrj-113518	314	1	advances	advance	NOUN
esrj-113518	314	2	in	in	ADP
esrj-113518	314	3	neural	neural	ADJ
esrj-113518	314	4	information	information	NOUN
esrj-113518	314	5	processing	processing	NOUN
esrj-113518	314	6	systems	system	NOUN
esrj-113518	314	7	,	,	PUNCT
esrj-113518	314	8	25	25	NUM
esrj-113518	314	9	.	.	PUNCT
esrj-113518	315	1	kuang	kuang	PROPN
esrj-113518	315	2	,	,	PUNCT
esrj-113518	315	3	d.	d.	PROPN
esrj-113518	315	4	,	,	PUNCT
esrj-113518	315	5	&	&	CCONJ
esrj-113518	315	6	he	he	PRON
esrj-113518	315	7	,	,	PUNCT
esrj-113518	315	8	l.	l.	PROPN
esrj-113518	315	9	(	(	PUNCT
esrj-113518	315	10	2014	2014	NUM
esrj-113518	315	11	)	)	PUNCT
esrj-113518	315	12	.	.	PUNCT
esrj-113518	316	1	classification	classification	NOUN
esrj-113518	316	2	on	on	ADP
esrj-113518	316	3	adhd	adhd	NOUN
esrj-113518	316	4	with	with	ADP
esrj-113518	316	5	deep	deep	ADJ
esrj-113518	316	6	learning	learning	NOUN
esrj-113518	316	7	.	.	PUNCT
esrj-113518	317	1	paper	paper	NOUN
esrj-113518	317	2	presented	present	VERB
esrj-113518	317	3	at	at	ADP
esrj-113518	317	4	the	the	DET
esrj-113518	317	5	2014	2014	NUM
esrj-113518	317	6	international	international	ADJ
esrj-113518	317	7	conference	conference	NOUN
esrj-113518	317	8	on	on	ADP
esrj-113518	317	9	cloud	cloud	NOUN
esrj-113518	317	10	computing	computing	NOUN
esrj-113518	317	11	and	and	CCONJ
esrj-113518	317	12	big	big	ADJ
esrj-113518	317	13	data	datum	NOUN
esrj-113518	317	14	.	.	PUNCT
esrj-113518	318	1	https://doi.org/10.1109/ccbd.2014.42	https://doi.org/10.1109/ccbd.2014.42	NOUN
esrj-113518	318	2	kurakin	kurakin	PROPN
esrj-113518	318	3	,	,	PUNCT
esrj-113518	318	4	a.	a.	NOUN
esrj-113518	318	5	,	,	PUNCT
esrj-113518	318	6	song	song	NOUN
esrj-113518	318	7	,	,	PUNCT
esrj-113518	318	8	s.	s.	PROPN
esrj-113518	318	9	,	,	PUNCT
esrj-113518	318	10	chien	chien	PROPN
esrj-113518	318	11	,	,	PUNCT
esrj-113518	318	12	s.	s.	PROPN
esrj-113518	318	13	,	,	PUNCT
esrj-113518	318	14	geambasu	geambasu	PROPN
esrj-113518	318	15	,	,	PUNCT
esrj-113518	318	16	r.	r.	PROPN
esrj-113518	318	17	,	,	PUNCT
esrj-113518	318	18	terzis	terzi	NOUN
esrj-113518	318	19	,	,	PUNCT
esrj-113518	318	20	a.	a.	NOUN
esrj-113518	318	21	,	,	PUNCT
esrj-113518	318	22	&	&	CCONJ
esrj-113518	318	23	thakurta	thakurta	PROPN
esrj-113518	318	24	,	,	PUNCT
esrj-113518	318	25	a.	a.	NOUN
esrj-113518	318	26	(	(	PUNCT
esrj-113518	318	27	2022	2022	NUM
esrj-113518	318	28	)	)	PUNCT
esrj-113518	318	29	.	.	PUNCT
esrj-113518	319	1	toward	toward	ADP
esrj-113518	319	2	training	training	NOUN
esrj-113518	319	3	at	at	ADP
esrj-113518	319	4	imagenet	imagenet	ADJ
esrj-113518	319	5	scale	scale	NOUN
esrj-113518	319	6	with	with	ADP
esrj-113518	319	7	differential	differential	ADJ
esrj-113518	319	8	privacy	privacy	NOUN
esrj-113518	319	9	.	.	PUNCT
esrj-113518	320	1	arxiv	arxiv	PROPN
esrj-113518	320	2	preprint	preprint	PROPN
esrj-113518	320	3	arxiv:2201.12328	arxiv:2201.12328	NOUN
esrj-113518	320	4	.	.	PUNCT
esrj-113518	321	1	https://doi.org/10.48550/arxiv.2201.12328	https://doi.org/10.48550/arxiv.2201.12328	PROPN
esrj-113518	321	2	li	li	PROPN
esrj-113518	321	3	,	,	PUNCT
esrj-113518	321	4	w.	w.	PROPN
esrj-113518	321	5	,	,	PUNCT
esrj-113518	321	6	chen	chen	PROPN
esrj-113518	321	7	,	,	PUNCT
esrj-113518	321	8	k.	k.	PROPN
esrj-113518	321	9	,	,	PUNCT
esrj-113518	321	10	chen	chen	PROPN
esrj-113518	321	11	,	,	PUNCT
esrj-113518	321	12	h.	h.	PROPN
esrj-113518	321	13	,	,	PUNCT
esrj-113518	321	14	&	&	CCONJ
esrj-113518	321	15	shi	shi	PROPN
esrj-113518	321	16	,	,	PUNCT
esrj-113518	321	17	z.	z.	PROPN
esrj-113518	321	18	(	(	PUNCT
esrj-113518	321	19	2021	2021	NUM
esrj-113518	321	20	)	)	PUNCT
esrj-113518	321	21	.	.	PUNCT
esrj-113518	322	1	geographical	geographical	ADJ
esrj-113518	322	2	knowledge	knowledge	NOUN
esrj-113518	322	3	-	-	PUNCT
esrj-113518	322	4	driven	drive	VERB
esrj-113518	322	5	representation	representation	NOUN
esrj-113518	322	6	learning	learn	VERB
esrj-113518	322	7	for	for	ADP
esrj-113518	322	8	remote	remote	ADJ
esrj-113518	322	9	sensing	sensing	NOUN
esrj-113518	322	10	images	image	NOUN
esrj-113518	322	11	.	.	PUNCT
esrj-113518	323	1	ieee	ieee	NOUN
esrj-113518	323	2	transactions	transaction	NOUN
esrj-113518	323	3	on	on	ADP
esrj-113518	323	4	geoscience	geoscience	NOUN
esrj-113518	323	5	and	and	CCONJ
esrj-113518	323	6	remote	remote	ADJ
esrj-113518	323	7	sensing	sensing	NOUN
esrj-113518	323	8	,	,	PUNCT
esrj-113518	323	9	60	60	NUM
esrj-113518	323	10	,	,	PUNCT
esrj-113518	323	11	1	1	NUM
esrj-113518	323	12	-	-	SYM
esrj-113518	323	13	16	16	NUM
esrj-113518	323	14	.	.	PUNCT
esrj-113518	324	1	https://doi.org/10.1109/	https://doi.org/10.1109/	PROPN
esrj-113518	324	2	tgrs.2021.3115569	tgrs.2021.3115569	PROPN
esrj-113518	324	3	lilay	lilay	NOUN
esrj-113518	324	4	,	,	PUNCT
esrj-113518	324	5	m.	m.	NOUN
esrj-113518	324	6	y.	y.	PROPN
esrj-113518	324	7	,	,	PUNCT
esrj-113518	324	8	&	&	CCONJ
esrj-113518	324	9	taye	taye	PROPN
esrj-113518	324	10	,	,	PUNCT
esrj-113518	324	11	g.	g.	PROPN
esrj-113518	324	12	d.	d.	PROPN
esrj-113518	324	13	(	(	PUNCT
esrj-113518	324	14	2023	2023	NUM
esrj-113518	324	15	)	)	PUNCT
esrj-113518	324	16	.	.	PUNCT
esrj-113518	325	1	semantic	semantic	ADJ
esrj-113518	325	2	segmentation	segmentation	NOUN
esrj-113518	325	3	model	model	NOUN
esrj-113518	325	4	for	for	ADP
esrj-113518	325	5	land	land	NOUN
esrj-113518	325	6	cover	cover	NOUN
esrj-113518	325	7	classification	classification	NOUN
esrj-113518	325	8	from	from	ADP
esrj-113518	325	9	satellite	satellite	NOUN
esrj-113518	325	10	images	image	NOUN
esrj-113518	325	11	in	in	ADP
esrj-113518	325	12	gambella	gambella	PROPN
esrj-113518	325	13	national	national	PROPN
esrj-113518	325	14	park	park	PROPN
esrj-113518	325	15	,	,	PUNCT
esrj-113518	325	16	ethiopia	ethiopia	PROPN
esrj-113518	325	17	.	.	PUNCT
esrj-113518	326	1	sn	sn	PROPN
esrj-113518	326	2	applied	apply	VERB
esrj-113518	326	3	sciences	science	NOUN
esrj-113518	326	4	,	,	PUNCT
esrj-113518	326	5	5(3	5(3	NUM
esrj-113518	326	6	)	)	PUNCT
esrj-113518	326	7	,	,	PUNCT
esrj-113518	326	8	76	76	NUM
esrj-113518	326	9	.	.	PUNCT
esrj-113518	327	1	https://doi.org/10.1007/s42452-02305280-4	https://doi.org/10.1007/s42452-02305280-4	PROPN
esrj-113518	327	2	luo	luo	PROPN
esrj-113518	327	3	,	,	PUNCT
esrj-113518	327	4	c.-y	c.-y	NOUN
esrj-113518	327	5	.	.	PUNCT
esrj-113518	327	6	,	,	PUNCT
esrj-113518	327	7	pearson	pearson	PROPN
esrj-113518	327	8	,	,	PUNCT
esrj-113518	327	9	p.	p.	PROPN
esrj-113518	327	10	,	,	PUNCT
esrj-113518	327	11	xu	xu	PROPN
esrj-113518	327	12	,	,	PUNCT
esrj-113518	327	13	g.	g.	PROPN
esrj-113518	327	14	,	,	PUNCT
esrj-113518	327	15	&	&	CCONJ
esrj-113518	327	16	rich	rich	ADJ
esrj-113518	327	17	,	,	PUNCT
esrj-113518	327	18	s.	s.	PROPN
esrj-113518	327	19	m.	m.	PROPN
esrj-113518	327	20	(	(	PUNCT
esrj-113518	327	21	2022	2022	NUM
esrj-113518	327	22	)	)	PUNCT
esrj-113518	327	23	.	.	PUNCT
esrj-113518	328	1	a	a	DET
esrj-113518	328	2	computer	computer	NOUN
esrj-113518	328	3	vision	vision	NOUN
esrj-113518	328	4	-	-	PUNCT
esrj-113518	328	5	based	base	VERB
esrj-113518	328	6	approach	approach	NOUN
esrj-113518	328	7	for	for	ADP
esrj-113518	328	8	tick	tick	NOUN
esrj-113518	328	9	identification	identification	NOUN
esrj-113518	328	10	using	use	VERB
esrj-113518	328	11	deep	deep	ADJ
esrj-113518	328	12	learning	learning	NOUN
esrj-113518	328	13	models	model	NOUN
esrj-113518	328	14	.	.	PUNCT
esrj-113518	329	1	insects	insect	NOUN
esrj-113518	329	2	,	,	PUNCT
esrj-113518	329	3	13(2	13(2	NOUN
esrj-113518	329	4	)	)	PUNCT
esrj-113518	329	5	,	,	PUNCT
esrj-113518	329	6	116	116	NUM
esrj-113518	329	7	.	.	PUNCT
esrj-113518	330	1	https://doi.org/10.3390/insects13020116	https://doi.org/10.3390/insects13020116	PROPN
esrj-113518	330	2	mandal	mandal	PROPN
esrj-113518	330	3	,	,	PUNCT
esrj-113518	330	4	b.	b.	PROPN
esrj-113518	330	5	,	,	PUNCT
esrj-113518	330	6	okeukwu	okeukwu	PROPN
esrj-113518	330	7	,	,	PUNCT
esrj-113518	330	8	a.	a.	PROPN
esrj-113518	330	9	,	,	PUNCT
esrj-113518	330	10	&	&	CCONJ
esrj-113518	330	11	theis	theis	PROPN
esrj-113518	330	12	,	,	PUNCT
esrj-113518	330	13	y.	y.	PROPN
esrj-113518	330	14	(	(	PUNCT
esrj-113518	330	15	2021	2021	NUM
esrj-113518	330	16	)	)	PUNCT
esrj-113518	330	17	.	.	PUNCT
esrj-113518	331	1	masked	mask	VERB
esrj-113518	331	2	face	face	NOUN
esrj-113518	331	3	recognition	recognition	NOUN
esrj-113518	331	4	using	use	VERB
esrj-113518	331	5	resnet-50	resnet-50	PROPN
esrj-113518	331	6	.	.	PROPN
esrj-113518	331	7	arxiv	arxiv	PROPN
esrj-113518	331	8	preprint	preprint	PROPN
esrj-113518	331	9	arxiv:2104.08997	arxiv:2104.08997	NOUN
esrj-113518	331	10	.	.	PUNCT
esrj-113518	332	1	https://doi.org/10.48550/	https://doi.org/10.48550/	PROPN
esrj-113518	332	2	arxiv.2104.08997	arxiv.2104.08997	NOUN
esrj-113518	332	3	mehmood	mehmood	PROPN
esrj-113518	332	4	,	,	PUNCT
esrj-113518	332	5	m.	m.	NOUN
esrj-113518	332	6	,	,	PUNCT
esrj-113518	332	7	shahzad	shahzad	PROPN
esrj-113518	332	8	,	,	PUNCT
esrj-113518	332	9	a.	a.	PROPN
esrj-113518	332	10	,	,	PUNCT
esrj-113518	332	11	zafar	zafar	PROPN
esrj-113518	332	12	,	,	PUNCT
esrj-113518	332	13	b.	b.	PROPN
esrj-113518	332	14	,	,	PUNCT
esrj-113518	332	15	shabbir	shabbir	PROPN
esrj-113518	332	16	,	,	PUNCT
esrj-113518	332	17	a.	a.	PROPN
esrj-113518	332	18	,	,	PUNCT
esrj-113518	332	19	&	&	CCONJ
esrj-113518	332	20	ali	ali	PROPN
esrj-113518	332	21	,	,	PUNCT
esrj-113518	332	22	n.	n.	PROPN
esrj-113518	332	23	(	(	PUNCT
esrj-113518	332	24	2022	2022	NUM
esrj-113518	332	25	)	)	PUNCT
esrj-113518	332	26	.	.	PUNCT
esrj-113518	333	1	remote	remote	ADJ
esrj-113518	333	2	sensing	sense	VERB
esrj-113518	333	3	image	image	NOUN
esrj-113518	333	4	classification	classification	NOUN
esrj-113518	333	5	:	:	PUNCT
esrj-113518	333	6	a	a	DET
esrj-113518	333	7	comprehensive	comprehensive	ADJ
esrj-113518	333	8	review	review	NOUN
esrj-113518	333	9	and	and	CCONJ
esrj-113518	333	10	applications	application	NOUN
esrj-113518	333	11	.	.	PUNCT
esrj-113518	334	1	mathematical	mathematical	ADJ
esrj-113518	334	2	problems	problem	NOUN
esrj-113518	334	3	in	in	ADP
esrj-113518	334	4	engineering	engineering	NOUN
esrj-113518	334	5	,	,	PUNCT
esrj-113518	334	6	1	1	NUM
esrj-113518	334	7	-	-	SYM
esrj-113518	334	8	24	24	NUM
esrj-113518	334	9	.	.	PUNCT
esrj-113518	335	1	https://doi	https://doi	NOUN
esrj-113518	335	2	.	.	PUNCT
esrj-113518	335	3	org/10.1155/2022/5880959	org/10.1155/2022/5880959	PROPN
esrj-113518	335	4	müller	müller	PROPN
esrj-113518	335	5	,	,	PUNCT
esrj-113518	335	6	s.	s.	PROPN
esrj-113518	335	7	g.	g.	PROPN
esrj-113518	335	8	,	,	PUNCT
esrj-113518	335	9	&	&	CCONJ
esrj-113518	335	10	hutter	hutter	PROPN
esrj-113518	335	11	,	,	PUNCT
esrj-113518	335	12	f.	f.	PROPN
esrj-113518	335	13	(	(	PUNCT
esrj-113518	335	14	2021	2021	NUM
esrj-113518	335	15	)	)	PUNCT
esrj-113518	335	16	.	.	PUNCT
esrj-113518	336	1	trivialaugment	trivialaugment	NOUN
esrj-113518	336	2	:	:	PUNCT
esrj-113518	336	3	tuning	tune	VERB
esrj-113518	336	4	-	-	PUNCT
esrj-113518	336	5	free	free	ADJ
esrj-113518	336	6	yet	yet	CCONJ
esrj-113518	336	7	state	state	NOUN
esrj-113518	336	8	-	-	PUNCT
esrj-113518	336	9	of	of	ADP
esrj-113518	336	10	-	-	PUNCT
esrj-113518	336	11	theart	theart	NOUN
esrj-113518	336	12	data	datum	NOUN
esrj-113518	336	13	augmentation	augmentation	NOUN
esrj-113518	336	14	.	.	PUNCT
esrj-113518	337	1	paper	paper	NOUN
esrj-113518	337	2	presented	present	VERB
esrj-113518	337	3	at	at	ADP
esrj-113518	337	4	the	the	DET
esrj-113518	337	5	proceedings	proceeding	NOUN
esrj-113518	337	6	of	of	ADP
esrj-113518	337	7	the	the	DET
esrj-113518	337	8	ieee/	ieee/	NUM
esrj-113518	337	9	cvf	cvf	NOUN
esrj-113518	337	10	international	international	ADJ
esrj-113518	337	11	conference	conference	NOUN
esrj-113518	337	12	on	on	ADP
esrj-113518	337	13	computer	computer	NOUN
esrj-113518	337	14	vision	vision	NOUN
esrj-113518	337	15	.	.	PUNCT
esrj-113518	338	1	neris	neris	PROPN
esrj-113518	338	2	,	,	PUNCT
esrj-113518	338	3	r.	r.	PROPN
esrj-113518	338	4	,	,	PUNCT
esrj-113518	338	5	guerra	guerra	PROPN
esrj-113518	338	6	,	,	PUNCT
esrj-113518	338	7	r.	r.	PROPN
esrj-113518	338	8	,	,	PUNCT
esrj-113518	338	9	lópez	lópez	PROPN
esrj-113518	338	10	,	,	PUNCT
esrj-113518	338	11	s.	s.	PROPN
esrj-113518	338	12	,	,	PUNCT
esrj-113518	338	13	&	&	CCONJ
esrj-113518	338	14	sarmiento	sarmiento	PROPN
esrj-113518	338	15	,	,	PUNCT
esrj-113518	338	16	r.	r.	PROPN
esrj-113518	338	17	(	(	PUNCT
esrj-113518	338	18	2021	2021	NUM
esrj-113518	338	19	)	)	PUNCT
esrj-113518	338	20	.	.	PUNCT
esrj-113518	339	1	performance	performance	NOUN
esrj-113518	339	2	evaluation	evaluation	NOUN
esrj-113518	339	3	of	of	ADP
esrj-113518	339	4	state	state	NOUN
esrj-113518	339	5	-	-	PUNCT
esrj-113518	339	6	of	of	ADP
esrj-113518	339	7	-	-	PUNCT
esrj-113518	339	8	the	the	DET
esrj-113518	339	9	-	-	PUNCT
esrj-113518	339	10	art	art	NOUN
esrj-113518	339	11	cnn	cnn	PROPN
esrj-113518	339	12	architectures	architecture	VERB
esrj-113518	339	13	for	for	ADP
esrj-113518	339	14	the	the	DET
esrj-113518	339	15	on	on	ADP
esrj-113518	339	16	-	-	PUNCT
esrj-113518	339	17	board	board	NOUN
esrj-113518	339	18	processing	processing	NOUN
esrj-113518	339	19	of	of	ADP
esrj-113518	339	20	remotely	remotely	ADV
esrj-113518	339	21	sensed	sense	VERB
esrj-113518	339	22	images	image	NOUN
esrj-113518	339	23	.	.	PUNCT
esrj-113518	340	1	paper	paper	NOUN
esrj-113518	340	2	presented	present	VERB
esrj-113518	340	3	at	at	ADP
esrj-113518	340	4	the	the	DET
esrj-113518	340	5	2021	2021	NUM
esrj-113518	340	6	xxxvi	xxxvi	NOUN
esrj-113518	340	7	conference	conference	NOUN
esrj-113518	340	8	on	on	ADP
esrj-113518	340	9	design	design	NOUN
esrj-113518	340	10	of	of	ADP
esrj-113518	340	11	circuits	circuit	NOUN
esrj-113518	340	12	and	and	CCONJ
esrj-113518	340	13	integrated	integrated	ADJ
esrj-113518	340	14	systems	system	NOUN
esrj-113518	340	15	(	(	PUNCT
esrj-113518	340	16	dcis	dcis	NOUN
esrj-113518	340	17	)	)	PUNCT
esrj-113518	340	18	.	.	PUNCT
esrj-113518	341	1	https://doi	https://doi	PROPN
esrj-113518	341	2	.	.	PUNCT
esrj-113518	341	3	org/10.1109	org/10.1109	PROPN
esrj-113518	341	4	/	/	SYM
esrj-113518	341	5	dcis53048.2021.9666179	dcis53048.2021.9666179	PROPN
esrj-113518	341	6	pittaras	pittara	NOUN
esrj-113518	341	7	,	,	PUNCT
esrj-113518	341	8	n.	n.	NOUN
esrj-113518	341	9	,	,	PUNCT
esrj-113518	341	10	giannakopoulos	giannakopoulos	PROPN
esrj-113518	341	11	,	,	PUNCT
esrj-113518	341	12	g.	g.	PROPN
esrj-113518	341	13	,	,	PUNCT
esrj-113518	341	14	stamatopoulos	stamatopoulos	PROPN
esrj-113518	341	15	,	,	PUNCT
esrj-113518	341	16	p.	p.	NOUN
esrj-113518	341	17	,	,	PUNCT
esrj-113518	341	18	&	&	CCONJ
esrj-113518	341	19	karkaletsis	karkaletsis	NOUN
esrj-113518	341	20	,	,	PUNCT
esrj-113518	341	21	v.	v.	PROPN
esrj-113518	341	22	(	(	PUNCT
esrj-113518	341	23	2023	2023	NUM
esrj-113518	341	24	)	)	PUNCT
esrj-113518	341	25	.	.	PUNCT
esrj-113518	342	1	content	content	NOUN
esrj-113518	342	2	-	-	PUNCT
esrj-113518	342	3	based	base	VERB
esrj-113518	342	4	and	and	CCONJ
esrj-113518	342	5	knowledge	knowledge	NOUN
esrj-113518	342	6	-	-	PUNCT
esrj-113518	342	7	enriched	enrich	VERB
esrj-113518	342	8	representations	representation	NOUN
esrj-113518	342	9	for	for	ADP
esrj-113518	342	10	classification	classification	NOUN
esrj-113518	342	11	across	across	ADP
esrj-113518	342	12	modalities	modality	NOUN
esrj-113518	342	13	:	:	PUNCT
esrj-113518	342	14	a	a	DET
esrj-113518	342	15	survey	survey	NOUN
esrj-113518	342	16	.	.	PUNCT
esrj-113518	343	1	acm	acm	PROPN
esrj-113518	343	2	computing	computing	NOUN
esrj-113518	343	3	surveys	survey	NOUN
esrj-113518	343	4	,	,	PUNCT
esrj-113518	343	5	55(14s	55(14s	NUM
esrj-113518	343	6	)	)	PUNCT
esrj-113518	343	7	,	,	PUNCT
esrj-113518	343	8	1	1	NUM
esrj-113518	343	9	-	-	SYM
esrj-113518	343	10	40	40	NUM
esrj-113518	343	11	.	.	PUNCT
esrj-113518	344	1	https://doi.org/10.1145/3583682	https://doi.org/10.1145/3583682	PROPN
esrj-113518	344	2	pronina	pronina	PROPN
esrj-113518	344	3	,	,	PUNCT
esrj-113518	344	4	o.	o.	PROPN
esrj-113518	344	5	,	,	PUNCT
esrj-113518	344	6	&	&	CCONJ
esrj-113518	344	7	piatykop	piatykop	PROPN
esrj-113518	344	8	,	,	PUNCT
esrj-113518	344	9	o.	o.	INTJ
esrj-113518	344	10	(	(	PUNCT
esrj-113518	344	11	2023	2023	NUM
esrj-113518	344	12	)	)	PUNCT
esrj-113518	344	13	.	.	PUNCT
esrj-113518	345	1	the	the	DET
esrj-113518	345	2	recognition	recognition	NOUN
esrj-113518	345	3	of	of	ADP
esrj-113518	345	4	speech	speech	NOUN
esrj-113518	345	5	defects	defect	NOUN
esrj-113518	345	6	using	use	VERB
esrj-113518	345	7	convolutional	convolutional	ADJ
esrj-113518	345	8	neural	neural	ADJ
esrj-113518	345	9	network	network	NOUN
esrj-113518	345	10	.	.	PUNCT
esrj-113518	346	1	paper	paper	NOUN
esrj-113518	346	2	presented	present	VERB
esrj-113518	346	3	at	at	ADP
esrj-113518	346	4	the	the	DET
esrj-113518	346	5	cte	cte	NOUN
esrj-113518	346	6	workshop	workshop	NOUN
esrj-113518	346	7	proceedings	proceeding	NOUN
esrj-113518	346	8	.	.	PUNCT
esrj-113518	347	1	https://doi.org/10.55056/cte.554	https://doi.org/10.55056/cte.554	PROPN
esrj-113518	347	2	reddy	reddy	PROPN
esrj-113518	347	3	,	,	PUNCT
esrj-113518	347	4	k.	k.	PROPN
esrj-113518	347	5	v.	v.	PROPN
esrj-113518	347	6	v.	v.	PROPN
esrj-113518	347	7	k.	k.	PROPN
esrj-113518	347	8	(	(	PUNCT
esrj-113518	347	9	2023	2023	NUM
esrj-113518	347	10	)	)	PUNCT
esrj-113518	347	11	.	.	PUNCT
esrj-113518	348	1	comparing	compare	VERB
esrj-113518	348	2	linear	linear	ADJ
esrj-113518	348	3	discriminant	discriminant	ADJ
esrj-113518	348	4	analysis	analysis	NOUN
esrj-113518	348	5	to	to	ADP
esrj-113518	348	6	alexnet	alexnet	NOUN
esrj-113518	348	7	as	as	ADP
esrj-113518	348	8	a	a	DET
esrj-113518	348	9	novel	novel	ADJ
esrj-113518	348	10	approach	approach	NOUN
esrj-113518	348	11	for	for	ADP
esrj-113518	348	12	better	well	ADJ
esrj-113518	348	13	remote	remote	ADJ
esrj-113518	348	14	sensing	sense	VERB
esrj-113518	348	15	image	image	NOUN
esrj-113518	348	16	segmentation	segmentation	NOUN
esrj-113518	348	17	and	and	CCONJ
esrj-113518	348	18	classification	classification	NOUN
esrj-113518	348	19	with	with	ADP
esrj-113518	348	20	improved	improved	ADJ
esrj-113518	348	21	accuracy	accuracy	NOUN
esrj-113518	348	22	.	.	PUNCT
esrj-113518	349	1	journal	journal	NOUN
esrj-113518	349	2	of	of	ADP
esrj-113518	349	3	survey	survey	NOUN
esrj-113518	349	4	in	in	ADP
esrj-113518	349	5	fisheries	fishery	NOUN
esrj-113518	349	6	sciences	science	NOUN
esrj-113518	349	7	,	,	PUNCT
esrj-113518	349	8	10(1s	10(1s	NUM
esrj-113518	349	9	)	)	PUNCT
esrj-113518	349	10	,	,	PUNCT
esrj-113518	349	11	2894	2894	NUM
esrj-113518	349	12	-	-	SYM
esrj-113518	349	13	2903	2903	NUM
esrj-113518	349	14	.	.	PUNCT
esrj-113518	350	1	https://doi.org/10.17762/sfs.v10i1s.522	https://doi.org/10.17762/sfs.v10i1s.522	ADP
esrj-113518	350	2	https://doi.org/10.3390/rs14030592	https://doi.org/10.3390/rs14030592	PUNCT
esrj-113518	350	3	reedha	reedha	PROPN
esrj-113518	350	4	,	,	PUNCT
esrj-113518	350	5	r.	r.	PROPN
esrj-113518	350	6	,	,	PUNCT
esrj-113518	350	7	dericquebourg	dericquebourg	PROPN
esrj-113518	350	8	,	,	PUNCT
esrj-113518	350	9	e.	e.	PROPN
esrj-113518	350	10	,	,	PUNCT
esrj-113518	350	11	canals	canal	NOUN
esrj-113518	350	12	,	,	PUNCT
esrj-113518	350	13	r.	r.	PROPN
esrj-113518	350	14	,	,	PUNCT
esrj-113518	350	15	&	&	CCONJ
esrj-113518	350	16	hafiane	hafiane	PROPN
esrj-113518	350	17	,	,	PUNCT
esrj-113518	350	18	a.	a.	NOUN
esrj-113518	350	19	(	(	PUNCT
esrj-113518	350	20	2022	2022	NUM
esrj-113518	350	21	)	)	PUNCT
esrj-113518	350	22	.	.	PUNCT
esrj-113518	351	1	transformer	transformer	ADJ
esrj-113518	351	2	neural	neural	ADJ
esrj-113518	351	3	network	network	NOUN
esrj-113518	351	4	for	for	ADP
esrj-113518	351	5	weed	weed	NOUN
esrj-113518	351	6	and	and	CCONJ
esrj-113518	351	7	crop	crop	NOUN
esrj-113518	351	8	classification	classification	NOUN
esrj-113518	351	9	of	of	ADP
esrj-113518	351	10	high	high	ADJ
esrj-113518	351	11	resolution	resolution	NOUN
esrj-113518	351	12	uav	uav	PROPN
esrj-113518	351	13	images	image	NOUN
esrj-113518	351	14	.	.	PUNCT
esrj-113518	352	1	remote	remote	ADJ
esrj-113518	352	2	sensing	sensing	NOUN
esrj-113518	352	3	,	,	PUNCT
esrj-113518	352	4	14(3	14(3	NUM
esrj-113518	352	5	)	)	PUNCT
esrj-113518	352	6	,	,	PUNCT
esrj-113518	352	7	592	592	NUM
esrj-113518	352	8	.	.	PUNCT
esrj-113518	353	1	rodriguez	rodriguez	NOUN
esrj-113518	353	2	-	-	PUNCT
esrj-113518	353	3	conde	conde	PROPN
esrj-113518	353	4	,	,	PUNCT
esrj-113518	353	5	i.	i.	PROPN
esrj-113518	353	6	,	,	PUNCT
esrj-113518	353	7	campos	campos	PROPN
esrj-113518	353	8	,	,	PUNCT
esrj-113518	353	9	c.	c.	PROPN
esrj-113518	353	10	,	,	PUNCT
esrj-113518	353	11	&	&	CCONJ
esrj-113518	353	12	fernandez	fernandez	PROPN
esrj-113518	353	13	-	-	PUNCT
esrj-113518	353	14	riverola	riverola	PROPN
esrj-113518	353	15	,	,	PUNCT
esrj-113518	353	16	f.	f.	PROPN
esrj-113518	353	17	(	(	PUNCT
esrj-113518	353	18	2022	2022	NUM
esrj-113518	353	19	)	)	PUNCT
esrj-113518	353	20	.	.	PUNCT
esrj-113518	354	1	optimized	optimize	VERB
esrj-113518	354	2	convolutional	convolutional	ADJ
esrj-113518	354	3	neural	neural	ADJ
esrj-113518	354	4	network	network	NOUN
esrj-113518	354	5	architectures	architecture	NOUN
esrj-113518	354	6	for	for	ADP
esrj-113518	354	7	efficient	efficient	ADJ
esrj-113518	354	8	on	on	ADP
esrj-113518	354	9	-	-	PUNCT
esrj-113518	354	10	device	device	NOUN
esrj-113518	354	11	vision	vision	NOUN
esrj-113518	354	12	-	-	PUNCT
esrj-113518	354	13	based	base	VERB
esrj-113518	354	14	object	object	NOUN
esrj-113518	354	15	detection	detection	NOUN
esrj-113518	354	16	.	.	PUNCT
esrj-113518	355	1	neural	neural	ADJ
esrj-113518	355	2	computing	computing	NOUN
esrj-113518	355	3	and	and	CCONJ
esrj-113518	355	4	applications	application	NOUN
esrj-113518	355	5	,	,	PUNCT
esrj-113518	355	6	34(13	34(13	NUM
esrj-113518	355	7	)	)	PUNCT
esrj-113518	355	8	,	,	PUNCT
esrj-113518	355	9	10469	10469	NUM
esrj-113518	355	10	-	-	SYM
esrj-113518	355	11	10501	10501	NUM
esrj-113518	355	12	.	.	PUNCT
esrj-113518	356	1	https://doi.org/10.1007/s00521-021-06830-w	https://doi.org/10.1007/s00521-021-06830-w	PROPN
esrj-113518	356	2	saini	saini	PROPN
esrj-113518	356	3	,	,	PUNCT
esrj-113518	356	4	d.	d.	PROPN
esrj-113518	356	5	,	,	PUNCT
esrj-113518	356	6	khosla	khosla	PROPN
esrj-113518	356	7	,	,	PUNCT
esrj-113518	356	8	a.	a.	PROPN
esrj-113518	356	9	,	,	PUNCT
esrj-113518	356	10	chand	chand	PROPN
esrj-113518	356	11	,	,	PUNCT
esrj-113518	356	12	t.	t.	PROPN
esrj-113518	356	13	,	,	PUNCT
esrj-113518	356	14	chouhan	chouhan	PROPN
esrj-113518	356	15	,	,	PUNCT
esrj-113518	356	16	d.	d.	PROPN
esrj-113518	356	17	k.	k.	PROPN
esrj-113518	356	18	,	,	PUNCT
esrj-113518	356	19	&	&	CCONJ
esrj-113518	356	20	prakash	prakash	PROPN
esrj-113518	356	21	,	,	PUNCT
esrj-113518	356	22	m.	m.	NOUN
esrj-113518	356	23	(	(	PUNCT
esrj-113518	356	24	2023	2023	NUM
esrj-113518	356	25	)	)	PUNCT
esrj-113518	356	26	.	.	PUNCT
esrj-113518	357	1	automated	automate	VERB
esrj-113518	357	2	knee	knee	NOUN
esrj-113518	357	3	osteoarthritis	osteoarthritis	NOUN
esrj-113518	357	4	severity	severity	NOUN
esrj-113518	357	5	classification	classification	NOUN
esrj-113518	357	6	using	use	VERB
esrj-113518	357	7	three‐stage	three‐stage	NOUN
esrj-113518	357	8	preprocessing	preprocessing	NOUN
esrj-113518	357	9	method	method	NOUN
esrj-113518	357	10	and	and	CCONJ
esrj-113518	357	11	vgg16	vgg16	NOUN
esrj-113518	357	12	architecture	architecture	NOUN
esrj-113518	357	13	.	.	PUNCT
esrj-113518	358	1	international	international	ADJ
esrj-113518	358	2	journal	journal	PROPN
esrj-113518	358	3	of	of	ADP
esrj-113518	358	4	imaging	imaging	NOUN
esrj-113518	358	5	systems	system	NOUN
esrj-113518	358	6	and	and	CCONJ
esrj-113518	358	7	technology	technology	NOUN
esrj-113518	358	8	,	,	PUNCT
esrj-113518	358	9	33(3	33(3	NOUN
esrj-113518	358	10	)	)	PUNCT
esrj-113518	358	11	,	,	PUNCT
esrj-113518	358	12	1028	1028	NUM
esrj-113518	358	13	-	-	SYM
esrj-113518	358	14	1047	1047	NUM
esrj-113518	358	15	.	.	PUNCT
esrj-113518	359	1	https://doi.org/10.1002/	https://doi.org/10.1002/	PROPN
esrj-113518	359	2	ima.22845	ima.22845	PROPN
esrj-113518	359	3	sandler	sandler	NOUN
esrj-113518	359	4	,	,	PUNCT
esrj-113518	359	5	m.	m.	NOUN
esrj-113518	359	6	,	,	PUNCT
esrj-113518	359	7	howard	howard	PROPN
esrj-113518	359	8	,	,	PUNCT
esrj-113518	359	9	a.	a.	PROPN
esrj-113518	359	10	,	,	PUNCT
esrj-113518	359	11	zhu	zhu	PROPN
esrj-113518	359	12	,	,	PUNCT
esrj-113518	359	13	m.	m.	NOUN
esrj-113518	359	14	,	,	PUNCT
esrj-113518	359	15	zhmoginov	zhmoginov	PROPN
esrj-113518	359	16	,	,	PUNCT
esrj-113518	359	17	a.	a.	PROPN
esrj-113518	359	18	,	,	PUNCT
esrj-113518	359	19	&	&	CCONJ
esrj-113518	359	20	chen	chen	PROPN
esrj-113518	359	21	,	,	PUNCT
esrj-113518	359	22	l.	l.	PROPN
esrj-113518	359	23	c.	c.	PROPN
esrj-113518	359	24	(	(	PUNCT
esrj-113518	359	25	2018	2018	NUM
esrj-113518	359	26	)	)	PUNCT
esrj-113518	359	27	.	.	PUNCT
esrj-113518	360	1	mobilenetv2	mobilenetv2	NOUN
esrj-113518	360	2	:	:	PUNCT
esrj-113518	360	3	inverted	inverted	ADJ
esrj-113518	360	4	residuals	residual	NOUN
esrj-113518	360	5	and	and	CCONJ
esrj-113518	360	6	linear	linear	ADJ
esrj-113518	360	7	bottlenecks	bottleneck	NOUN
esrj-113518	360	8	.	.	PUNCT
esrj-113518	361	1	paper	paper	NOUN
esrj-113518	361	2	presented	present	VERB
esrj-113518	361	3	at	at	ADP
esrj-113518	361	4	the	the	DET
esrj-113518	361	5	proceedings	proceeding	NOUN
esrj-113518	361	6	of	of	ADP
esrj-113518	361	7	the	the	DET
esrj-113518	361	8	ieee	ieee	NOUN
esrj-113518	361	9	conference	conference	NOUN
esrj-113518	361	10	on	on	ADP
esrj-113518	361	11	computer	computer	NOUN
esrj-113518	361	12	vision	vision	NOUN
esrj-113518	361	13	and	and	CCONJ
esrj-113518	361	14	pattern	pattern	NOUN
esrj-113518	361	15	recognition	recognition	NOUN
esrj-113518	361	16	.	.	PUNCT
esrj-113518	362	1	simonyan	simonyan	PROPN
esrj-113518	362	2	,	,	PUNCT
esrj-113518	362	3	k.	k.	PROPN
esrj-113518	362	4	,	,	PUNCT
esrj-113518	362	5	&	&	CCONJ
esrj-113518	362	6	zisserman	zisserman	PROPN
esrj-113518	362	7	,	,	PUNCT
esrj-113518	362	8	a.	a.	NOUN
esrj-113518	362	9	(	(	PUNCT
esrj-113518	362	10	2014	2014	NUM
esrj-113518	362	11	)	)	PUNCT
esrj-113518	362	12	.	.	PUNCT
esrj-113518	363	1	very	very	ADV
esrj-113518	363	2	deep	deep	ADJ
esrj-113518	363	3	convolutional	convolutional	ADJ
esrj-113518	363	4	networks	network	NOUN
esrj-113518	363	5	for	for	ADP
esrj-113518	363	6	large	large	ADJ
esrj-113518	363	7	-	-	PUNCT
esrj-113518	363	8	scale	scale	NOUN
esrj-113518	363	9	image	image	NOUN
esrj-113518	363	10	recognition	recognition	NOUN
esrj-113518	363	11	.	.	PUNCT
esrj-113518	364	1	arxiv	arxiv	PROPN
esrj-113518	364	2	preprint	preprint	PROPN
esrj-113518	364	3	arxiv:1409.1556	arxiv:1409.1556	NOUN
esrj-113518	364	4	.	.	PUNCT
esrj-113518	365	1	https://	https://	PROPN
esrj-113518	365	2	doi.org/10.48550/arxiv.1409.1556	doi.org/10.48550/arxiv.1409.1556	PROPN
esrj-113518	365	3	sinaga	sinaga	NOUN
esrj-113518	365	4	,	,	PUNCT
esrj-113518	365	5	k.	k.	PROPN
esrj-113518	365	6	b.	b.	PROPN
esrj-113518	365	7	,	,	PUNCT
esrj-113518	365	8	yudistira	yudistira	PROPN
esrj-113518	365	9	,	,	PUNCT
esrj-113518	365	10	n.	n.	NOUN
esrj-113518	365	11	,	,	PUNCT
esrj-113518	365	12	&	&	CCONJ
esrj-113518	365	13	santoso	santoso	PROPN
esrj-113518	365	14	,	,	PUNCT
esrj-113518	365	15	e.	e.	PROPN
esrj-113518	365	16	(	(	PUNCT
esrj-113518	365	17	2023	2023	NUM
esrj-113518	365	18	)	)	PUNCT
esrj-113518	365	19	.	.	PUNCT
esrj-113518	366	1	efficient	efficient	ADJ
esrj-113518	366	2	cnn	cnn	PROPN
esrj-113518	366	3	for	for	ADP
esrj-113518	366	4	high	high	ADJ
esrj-113518	366	5	-	-	PUNCT
esrj-113518	366	6	resolution	resolution	NOUN
esrj-113518	366	7	remote	remote	ADJ
esrj-113518	366	8	sensing	sense	VERB
esrj-113518	366	9	imagery	imagery	NOUN
esrj-113518	366	10	understanding	understanding	NOUN
esrj-113518	366	11	.	.	PUNCT
esrj-113518	367	1	multimedia	multimedia	NOUN
esrj-113518	367	2	tools	tool	NOUN
esrj-113518	367	3	and	and	CCONJ
esrj-113518	367	4	applications	application	NOUN
esrj-113518	367	5	,	,	PUNCT
esrj-113518	367	6	1	1	NUM
esrj-113518	367	7	-	-	SYM
esrj-113518	367	8	23	23	NUM
esrj-113518	367	9	.	.	PUNCT
esrj-113518	368	1	song	song	PROPN
esrj-113518	368	2	,	,	PUNCT
esrj-113518	368	3	j.	j.	PROPN
esrj-113518	368	4	,	,	PUNCT
esrj-113518	368	5	gao	gao	PROPN
esrj-113518	368	6	,	,	PUNCT
esrj-113518	368	7	s.	s.	PROPN
esrj-113518	368	8	,	,	PUNCT
esrj-113518	368	9	zhu	zhu	PROPN
esrj-113518	368	10	,	,	PUNCT
esrj-113518	368	11	y.	y.	PROPN
esrj-113518	368	12	,	,	PUNCT
esrj-113518	368	13	&	&	CCONJ
esrj-113518	368	14	ma	ma	PROPN
esrj-113518	368	15	,	,	PUNCT
esrj-113518	368	16	c.	c.	PROPN
esrj-113518	368	17	(	(	PUNCT
esrj-113518	368	18	2019	2019	NUM
esrj-113518	368	19	)	)	PUNCT
esrj-113518	368	20	.	.	PUNCT
esrj-113518	369	1	a	a	DET
esrj-113518	369	2	survey	survey	NOUN
esrj-113518	369	3	of	of	ADP
esrj-113518	369	4	remote	remote	ADJ
esrj-113518	369	5	sensing	sense	VERB
esrj-113518	369	6	image	image	NOUN
esrj-113518	369	7	classification	classification	NOUN
esrj-113518	369	8	based	base	VERB
esrj-113518	369	9	on	on	ADP
esrj-113518	369	10	cnns	cnns	PROPN
esrj-113518	369	11	.	.	PUNCT
esrj-113518	370	1	big	big	ADJ
esrj-113518	370	2	earth	earth	NOUN
esrj-113518	370	3	data	datum	NOUN
esrj-113518	370	4	,	,	PUNCT
esrj-113518	370	5	3(3	3(3	NUM
esrj-113518	370	6	)	)	PUNCT
esrj-113518	370	7	,	,	PUNCT
esrj-113518	370	8	232	232	NUM
esrj-113518	370	9	-	-	SYM
esrj-113518	370	10	254	254	NUM
esrj-113518	370	11	.	.	PUNCT
esrj-113518	371	1	https://doi	https://doi	PROPN
esrj-113518	371	2	.	.	PUNCT
esrj-113518	371	3	org/10.1080/20964471.2019.1657720	org/10.1080/20964471.2019.1657720	NOUN
esrj-113518	371	4	https://doi.org/10.1109/asiancon51346.2021.9545068	https://doi.org/10.1109/asiancon51346.2021.9545068	PROPN
esrj-113518	371	5	https://doi.org/10.1109/asiancon51346.2021.9545068	https://doi.org/10.1109/asiancon51346.2021.9545068	PROPN
esrj-113518	371	6	https://doi.org/10.1109/tgrs.2022.3201474	https://doi.org/10.1109/tgrs.2022.3201474	PROPN
esrj-113518	371	7	https://doi.org/10.1109/tgrs.2022.3201474	https://doi.org/10.1109/tgrs.2022.3201474	PROPN
esrj-113518	371	8	https://doi.org/10.1016/j.jag.2022.102706	https://doi.org/10.1016/j.jag.2022.102706	X
esrj-113518	371	9	https://doi.org/10.1016/j.jag.2022.102706	https://doi.org/10.1016/j.jag.2022.102706	PROPN
esrj-113518	371	10	https://doi.org/10.1080/21642583.2021.1901159	https://doi.org/10.1080/21642583.2021.1901159	PROPN
esrj-113518	371	11	https://doi.org/10.1080/21642583.2021.1901159	https://doi.org/10.1080/21642583.2021.1901159	VERB
esrj-113518	372	1	https://doi.org/10.1016/j.knosys.2020.106622	https://doi.org/10.1016/j.knosys.2020.106622	PROPN
esrj-113518	372	2	https://doi.org/10.1016/j.knosys.2020.106622	https://doi.org/10.1016/j.knosys.2020.106622	PROPN
esrj-113518	372	3	https://doi.org/10.1109/hsi52170.2021.9538782	https://doi.org/10.1109/hsi52170.2021.9538782	X
esrj-113518	372	4	https://doi.org/10.1109/hsi52170.2021.9538782	https://doi.org/10.1109/hsi52170.2021.9538782	PROPN
esrj-113518	372	5	https://doi.org/10.1109/tim.2023.3236321	https://doi.org/10.1109/tim.2023.3236321	PROPN
esrj-113518	372	6	https://doi.org/10.1109/tim.2023.3236321	https://doi.org/10.1109/tim.2023.3236321	PROPN
esrj-113518	372	7	https://doi.org/10.1007/s13369-022-07082-z	https://doi.org/10.1007/s13369-022-07082-z	PROPN
esrj-113518	372	8	https://doi.org/10.1007/s11042-023-14962-5	https://doi.org/10.1007/s11042-023-14962-5	NUM
esrj-113518	372	9	https://doi.org/10.3390/rs15133408	https://doi.org/10.3390/rs15133408	PROPN
esrj-113518	372	10	https://doi.org/10.1109/ccbd.2014.42	https://doi.org/10.1109/ccbd.2014.42	PROPN
esrj-113518	372	11	https://doi.org/10.48550/arxiv.2201.12328	https://doi.org/10.48550/arxiv.2201.12328	PROPN
esrj-113518	372	12	https://doi.org/10.1109/tgrs.2021.3115569	https://doi.org/10.1109/tgrs.2021.3115569	PROPN
esrj-113518	372	13	https://doi.org/10.1109/tgrs.2021.3115569	https://doi.org/10.1109/tgrs.2021.3115569	PROPN
esrj-113518	372	14	https://doi.org/10.1007/s42452-023-05280-4	https://doi.org/10.1007/s42452-023-05280-4	NUM
esrj-113518	372	15	https://doi.org/10.1007/s42452-023-05280-4	https://doi.org/10.1007/s42452-023-05280-4	NUM
esrj-113518	372	16	https://doi.org/10.3390/insects13020116	https://doi.org/10.3390/insects13020116	X
esrj-113518	372	17	https://doi.org/10.48550/arxiv.2104.08997	https://doi.org/10.48550/arxiv.2104.08997	PROPN
esrj-113518	372	18	https://doi.org/10.48550/arxiv.2104.08997	https://doi.org/10.48550/arxiv.2104.08997	PROPN
esrj-113518	372	19	https://doi.org/10.1155/2022/5880959	https://doi.org/10.1155/2022/5880959	NOUN
esrj-113518	372	20	https://doi.org/10.1155/2022/5880959	https://doi.org/10.1155/2022/5880959	NOUN
esrj-113518	372	21	https://doi.org/10.1109/dcis53048.2021.9666179	https://doi.org/10.1109/dcis53048.2021.9666179	PROPN
esrj-113518	372	22	https://doi.org/10.1109/dcis53048.2021.9666179	https://doi.org/10.1109/dcis53048.2021.9666179	PROPN
esrj-113518	372	23	https://doi.org/10.1145/3583682	https://doi.org/10.1145/3583682	VERB
esrj-113518	373	1	https://doi.org/10.55056/cte.554	https://doi.org/10.55056/cte.554	PROPN
esrj-113518	373	2	https://doi.org/10.17762/sfs.v10i1s.522	https://doi.org/10.17762/sfs.v10i1s.522	ADP
esrj-113518	373	3	https://doi.org/10.3390/rs14030592	https://doi.org/10.3390/rs14030592	PUNCT
esrj-113518	373	4	https://doi.org/10.1007/s00521-021-06830-w	https://doi.org/10.1007/s00521-021-06830-w	PROPN
esrj-113518	373	5	https://doi.org/10.1002/ima.22845	https://doi.org/10.1002/ima.22845	PROPN
esrj-113518	373	6	https://doi.org/10.1002/ima.22845	https://doi.org/10.1002/ima.22845	PROPN
esrj-113518	373	7	https://doi.org/10.48550/arxiv.1409.1556	https://doi.org/10.48550/arxiv.1409.1556	PROPN
esrj-113518	373	8	https://doi.org/10.48550/arxiv.1409.1556	https://doi.org/10.48550/arxiv.1409.1556	PROPN
esrj-113518	373	9	https://doi.org/10.1080/20964471.2019.1657720	https://doi.org/10.1080/20964471.2019.1657720	INTJ
esrj-113518	373	10	https://doi.org/10.1080/20964471.2019.1657720	https://doi.org/10.1080/20964471.2019.1657720	PROPN
esrj-113518	373	11	419classification	419classification	PROPN
esrj-113518	373	12	of	of	ADP
esrj-113518	373	13	remote	remote	ADJ
esrj-113518	373	14	sensing	sense	VERB
esrj-113518	373	15	datasets	dataset	NOUN
esrj-113518	373	16	with	with	ADP
esrj-113518	373	17	different	different	ADJ
esrj-113518	373	18	deep	deep	ADJ
esrj-113518	373	19	learning	learning	NOUN
esrj-113518	373	20	architectures	architecture	NOUN
esrj-113518	373	21	song	song	NOUN
esrj-113518	373	22	,	,	PUNCT
esrj-113518	373	23	s.	s.	PROPN
esrj-113518	373	24	,	,	PUNCT
esrj-113518	373	25	yu	yu	PROPN
esrj-113518	373	26	,	,	PUNCT
esrj-113518	373	27	h.	h.	PROPN
esrj-113518	373	28	,	,	PUNCT
esrj-113518	373	29	miao	miao	PROPN
esrj-113518	373	30	,	,	PUNCT
esrj-113518	373	31	z.	z.	PROPN
esrj-113518	373	32	,	,	PUNCT
esrj-113518	373	33	zhang	zhang	PROPN
esrj-113518	373	34	,	,	PUNCT
esrj-113518	373	35	q.	q.	PROPN
esrj-113518	373	36	,	,	PUNCT
esrj-113518	373	37	lin	lin	PROPN
esrj-113518	373	38	,	,	PUNCT
esrj-113518	373	39	y.	y.	PROPN
esrj-113518	373	40	,	,	PUNCT
esrj-113518	373	41	&	&	CCONJ
esrj-113518	373	42	wang	wang	PROPN
esrj-113518	373	43	,	,	PUNCT
esrj-113518	373	44	s.	s.	PROPN
esrj-113518	373	45	(	(	PUNCT
esrj-113518	373	46	2019	2019	NUM
esrj-113518	373	47	)	)	PUNCT
esrj-113518	373	48	.	.	PUNCT
esrj-113518	374	1	domain	domain	NOUN
esrj-113518	374	2	adaptation	adaptation	NOUN
esrj-113518	374	3	for	for	ADP
esrj-113518	374	4	convolutional	convolutional	ADJ
esrj-113518	374	5	neural	neural	ADJ
esrj-113518	374	6	networks	network	NOUN
esrj-113518	374	7	-	-	PUNCT
esrj-113518	374	8	based	base	VERB
esrj-113518	374	9	remote	remote	ADJ
esrj-113518	374	10	sensing	sense	VERB
esrj-113518	374	11	scene	scene	NOUN
esrj-113518	374	12	classification	classification	NOUN
esrj-113518	374	13	.	.	PUNCT
esrj-113518	375	1	ieee	ieee	PROPN
esrj-113518	375	2	geoscience	geoscience	PROPN
esrj-113518	375	3	and	and	CCONJ
esrj-113518	375	4	remote	remote	ADJ
esrj-113518	375	5	sensing	sense	VERB
esrj-113518	375	6	letters	letter	NOUN
esrj-113518	375	7	,	,	PUNCT
esrj-113518	375	8	16(8	16(8	NUM
esrj-113518	375	9	)	)	PUNCT
esrj-113518	375	10	,	,	PUNCT
esrj-113518	375	11	13241328	13241328	NUM
esrj-113518	375	12	.	.	PUNCT
esrj-113518	376	1	https://doi.org/10.1109/lgrs.2019.2896411	https://doi.org/10.1109/lgrs.2019.2896411	PROPN
esrj-113518	376	2	subramanian	subramanian	ADJ
esrj-113518	376	3	,	,	PUNCT
esrj-113518	376	4	m.	m.	NOUN
esrj-113518	376	5	,	,	PUNCT
esrj-113518	376	6	shanmugavadivel	shanmugavadivel	ADJ
esrj-113518	376	7	,	,	PUNCT
esrj-113518	376	8	k.	k.	PROPN
esrj-113518	376	9	,	,	PUNCT
esrj-113518	376	10	&	&	CCONJ
esrj-113518	376	11	nandhini	nandhini	PROPN
esrj-113518	376	12	,	,	PUNCT
esrj-113518	376	13	p.	p.	NOUN
esrj-113518	376	14	(	(	PUNCT
esrj-113518	376	15	2022	2022	NUM
esrj-113518	376	16	)	)	PUNCT
esrj-113518	376	17	.	.	PUNCT
esrj-113518	377	1	on	on	ADP
esrj-113518	377	2	fine	fine	ADV
esrj-113518	377	3	-	-	PUNCT
esrj-113518	377	4	tuning	tune	VERB
esrj-113518	377	5	deep	deep	ADJ
esrj-113518	377	6	learning	learning	NOUN
esrj-113518	377	7	models	model	NOUN
esrj-113518	377	8	using	use	VERB
esrj-113518	377	9	transfer	transfer	NOUN
esrj-113518	377	10	learning	learning	NOUN
esrj-113518	377	11	and	and	CCONJ
esrj-113518	377	12	hyper	hyper	ADJ
esrj-113518	377	13	-	-	ADJ
esrj-113518	377	14	parameters	parameter	NOUN
esrj-113518	377	15	optimization	optimization	NOUN
esrj-113518	377	16	for	for	ADP
esrj-113518	377	17	disease	disease	NOUN
esrj-113518	377	18	identification	identification	NOUN
esrj-113518	377	19	in	in	ADP
esrj-113518	377	20	maize	maize	NOUN
esrj-113518	377	21	leaves	leave	NOUN
esrj-113518	377	22	.	.	PUNCT
esrj-113518	378	1	neural	neural	ADJ
esrj-113518	378	2	computing	computing	NOUN
esrj-113518	378	3	and	and	CCONJ
esrj-113518	378	4	applications	application	NOUN
esrj-113518	378	5	,	,	PUNCT
esrj-113518	378	6	34(16	34(16	NUM
esrj-113518	378	7	)	)	PUNCT
esrj-113518	378	8	,	,	PUNCT
esrj-113518	378	9	13951	13951	NUM
esrj-113518	378	10	-	-	SYM
esrj-113518	378	11	13968	13968	NUM
esrj-113518	378	12	.	.	PUNCT
esrj-113518	379	1	https://doi.org/10.1007/s00521022-07246-w	https://doi.org/10.1007/s00521022-07246-w	NOUN
esrj-113518	379	2	szegedy	szegedy	NOUN
esrj-113518	379	3	,	,	PUNCT
esrj-113518	379	4	c.	c.	PROPN
esrj-113518	379	5	,	,	PUNCT
esrj-113518	379	6	liu	liu	PROPN
esrj-113518	379	7	,	,	PUNCT
esrj-113518	379	8	w.	w.	PROPN
esrj-113518	379	9	,	,	PUNCT
esrj-113518	379	10	jia	jia	PROPN
esrj-113518	379	11	,	,	PUNCT
esrj-113518	379	12	y.	y.	PROPN
esrj-113518	379	13	,	,	PUNCT
esrj-113518	379	14	sermanet	sermanet	NOUN
esrj-113518	379	15	,	,	PUNCT
esrj-113518	379	16	p.	p.	PROPN
esrj-113518	379	17	,	,	PUNCT
esrj-113518	379	18	reed	reed	PROPN
esrj-113518	379	19	,	,	PUNCT
esrj-113518	379	20	s.	s.	PROPN
esrj-113518	379	21	,	,	PUNCT
esrj-113518	379	22	anguelov	anguelov	PROPN
esrj-113518	379	23	,	,	PUNCT
esrj-113518	379	24	d.	d.	PROPN
esrj-113518	379	25	,	,	PUNCT
esrj-113518	379	26	.	.	PUNCT
esrj-113518	379	27	.	.	PUNCT
esrj-113518	379	28	.	.	PUNCT
esrj-113518	380	1	rabinovich	rabinovich	NOUN
esrj-113518	380	2	,	,	PUNCT
esrj-113518	380	3	a.	a.	PROPN
esrj-113518	380	4	(	(	PUNCT
esrj-113518	380	5	2015	2015	NUM
esrj-113518	380	6	)	)	PUNCT
esrj-113518	380	7	.	.	PUNCT
esrj-113518	381	1	going	go	VERB
esrj-113518	381	2	deeper	deeply	ADV
esrj-113518	381	3	with	with	ADP
esrj-113518	381	4	convolutions	convolution	NOUN
esrj-113518	381	5	.	.	PUNCT
esrj-113518	382	1	paper	paper	NOUN
esrj-113518	382	2	presented	present	VERB
esrj-113518	382	3	at	at	ADP
esrj-113518	382	4	the	the	DET
esrj-113518	382	5	proceedings	proceeding	NOUN
esrj-113518	382	6	of	of	ADP
esrj-113518	382	7	the	the	DET
esrj-113518	382	8	ieee	ieee	NOUN
esrj-113518	382	9	conference	conference	NOUN
esrj-113518	382	10	on	on	ADP
esrj-113518	382	11	computer	computer	NOUN
esrj-113518	382	12	vision	vision	NOUN
esrj-113518	382	13	and	and	CCONJ
esrj-113518	382	14	pattern	pattern	NOUN
esrj-113518	382	15	recognition	recognition	NOUN
esrj-113518	382	16	.	.	PUNCT
esrj-113518	383	1	szegedy	szegedy	PROPN
esrj-113518	383	2	,	,	PUNCT
esrj-113518	383	3	c.	c.	PROPN
esrj-113518	383	4	,	,	PUNCT
esrj-113518	383	5	vanhoucke	vanhoucke	PROPN
esrj-113518	383	6	,	,	PUNCT
esrj-113518	383	7	v.	v.	PROPN
esrj-113518	383	8	,	,	PUNCT
esrj-113518	383	9	ioffe	ioffe	PROPN
esrj-113518	383	10	,	,	PUNCT
esrj-113518	383	11	s.	s.	PROPN
esrj-113518	383	12	,	,	PUNCT
esrj-113518	383	13	shlens	shlens	PROPN
esrj-113518	383	14	,	,	PUNCT
esrj-113518	383	15	j.	j.	PROPN
esrj-113518	383	16	,	,	PUNCT
esrj-113518	383	17	&	&	CCONJ
esrj-113518	383	18	wojna	wojna	PROPN
esrj-113518	383	19	,	,	PUNCT
esrj-113518	383	20	z.	z.	PROPN
esrj-113518	383	21	(	(	PUNCT
esrj-113518	383	22	2016	2016	NUM
esrj-113518	383	23	)	)	PUNCT
esrj-113518	383	24	.	.	PUNCT
esrj-113518	384	1	rethinking	rethink	VERB
esrj-113518	384	2	the	the	DET
esrj-113518	384	3	inception	inception	ADJ
esrj-113518	384	4	architecture	architecture	NOUN
esrj-113518	384	5	for	for	ADP
esrj-113518	384	6	computer	computer	NOUN
esrj-113518	384	7	vision	vision	NOUN
esrj-113518	384	8	.	.	PUNCT
esrj-113518	385	1	paper	paper	NOUN
esrj-113518	385	2	presented	present	VERB
esrj-113518	385	3	at	at	ADP
esrj-113518	385	4	the	the	DET
esrj-113518	385	5	proceedings	proceeding	NOUN
esrj-113518	385	6	of	of	ADP
esrj-113518	385	7	the	the	DET
esrj-113518	385	8	ieee	ieee	NOUN
esrj-113518	385	9	conference	conference	NOUN
esrj-113518	385	10	on	on	ADP
esrj-113518	385	11	computer	computer	NOUN
esrj-113518	385	12	vision	vision	NOUN
esrj-113518	385	13	and	and	CCONJ
esrj-113518	385	14	pattern	pattern	NOUN
esrj-113518	385	15	recognition	recognition	NOUN
esrj-113518	385	16	.	.	PUNCT
esrj-113518	386	1	tan	tan	PROPN
esrj-113518	386	2	,	,	PUNCT
esrj-113518	386	3	m.	m.	NOUN
esrj-113518	386	4	,	,	PUNCT
esrj-113518	386	5	&	&	CCONJ
esrj-113518	386	6	le	le	PROPN
esrj-113518	386	7	,	,	PUNCT
esrj-113518	386	8	q.	q.	PROPN
esrj-113518	386	9	(	(	PUNCT
esrj-113518	386	10	2019	2019	NUM
esrj-113518	386	11	)	)	PUNCT
esrj-113518	386	12	.	.	PUNCT
esrj-113518	387	1	efficientnet	efficientnet	PROPN
esrj-113518	387	2	:	:	PUNCT
esrj-113518	387	3	rethinking	rethink	VERB
esrj-113518	387	4	model	model	NOUN
esrj-113518	387	5	scaling	scale	VERB
esrj-113518	387	6	for	for	ADP
esrj-113518	387	7	convolutional	convolutional	ADJ
esrj-113518	387	8	neural	neural	ADJ
esrj-113518	387	9	networks	network	NOUN
esrj-113518	387	10	.	.	PUNCT
esrj-113518	388	1	paper	paper	NOUN
esrj-113518	388	2	presented	present	VERB
esrj-113518	388	3	at	at	ADP
esrj-113518	388	4	the	the	DET
esrj-113518	388	5	international	international	ADJ
esrj-113518	388	6	conference	conference	NOUN
esrj-113518	388	7	on	on	ADP
esrj-113518	388	8	machine	machine	NOUN
esrj-113518	388	9	learning	learning	NOUN
esrj-113518	388	10	.	.	PUNCT
esrj-113518	389	1	tellez	tellez	PROPN
esrj-113518	389	2	,	,	PUNCT
esrj-113518	389	3	d.	d.	PROPN
esrj-113518	389	4	,	,	PUNCT
esrj-113518	389	5	litjens	litjen	NOUN
esrj-113518	389	6	,	,	PUNCT
esrj-113518	389	7	g.	g.	PROPN
esrj-113518	389	8	,	,	PUNCT
esrj-113518	389	9	bándi	bándi	NOUN
esrj-113518	389	10	,	,	PUNCT
esrj-113518	389	11	p.	p.	PROPN
esrj-113518	389	12	,	,	PUNCT
esrj-113518	389	13	bulten	bulten	VERB
esrj-113518	389	14	,	,	PUNCT
esrj-113518	389	15	w.	w.	NOUN
esrj-113518	389	16	,	,	PUNCT
esrj-113518	389	17	bokhorst	bokhorst	ADJ
esrj-113518	389	18	,	,	PUNCT
esrj-113518	389	19	j.-m	j.-m	NOUN
esrj-113518	389	20	.	.	PUNCT
esrj-113518	389	21	,	,	PUNCT
esrj-113518	389	22	ciompi	ciompi	PROPN
esrj-113518	389	23	,	,	PUNCT
esrj-113518	389	24	f.	f.	PROPN
esrj-113518	389	25	,	,	PUNCT
esrj-113518	389	26	&	&	CCONJ
esrj-113518	389	27	van	van	PROPN
esrj-113518	389	28	der	der	PROPN
esrj-113518	389	29	laak	laak	PROPN
esrj-113518	389	30	,	,	PUNCT
esrj-113518	389	31	j.	j.	PROPN
esrj-113518	389	32	(	(	PUNCT
esrj-113518	389	33	2019	2019	NUM
esrj-113518	389	34	)	)	PUNCT
esrj-113518	389	35	.	.	PUNCT
esrj-113518	390	1	quantifying	quantify	VERB
esrj-113518	390	2	the	the	DET
esrj-113518	390	3	effects	effect	NOUN
esrj-113518	390	4	of	of	ADP
esrj-113518	390	5	data	datum	NOUN
esrj-113518	390	6	augmentation	augmentation	NOUN
esrj-113518	390	7	and	and	CCONJ
esrj-113518	390	8	stain	stain	NOUN
esrj-113518	390	9	color	color	NOUN
esrj-113518	390	10	normalization	normalization	NOUN
esrj-113518	390	11	in	in	ADP
esrj-113518	390	12	convolutional	convolutional	ADJ
esrj-113518	390	13	neural	neural	ADJ
esrj-113518	390	14	networks	network	NOUN
esrj-113518	390	15	for	for	ADP
esrj-113518	390	16	computational	computational	ADJ
esrj-113518	390	17	pathology	pathology	NOUN
esrj-113518	390	18	.	.	PUNCT
esrj-113518	391	1	medical	medical	ADJ
esrj-113518	391	2	image	image	NOUN
esrj-113518	391	3	analysis	analysis	NOUN
esrj-113518	391	4	,	,	PUNCT
esrj-113518	391	5	58	58	NUM
esrj-113518	391	6	,	,	PUNCT
esrj-113518	391	7	101544	101544	NUM
esrj-113518	391	8	.	.	PUNCT
esrj-113518	392	1	thribhuvan	thribhuvan	PROPN
esrj-113518	392	2	,	,	PUNCT
esrj-113518	392	3	n.	n.	NOUN
esrj-113518	392	4	,	,	PUNCT
esrj-113518	392	5	&	&	CCONJ
esrj-113518	392	6	elayidom	elayidom	PROPN
esrj-113518	392	7	,	,	PUNCT
esrj-113518	392	8	s.	s.	PROPN
esrj-113518	392	9	(	(	PUNCT
esrj-113518	392	10	2022	2022	NUM
esrj-113518	392	11	)	)	PUNCT
esrj-113518	392	12	.	.	PUNCT
esrj-113518	393	1	transfer	transfer	NOUN
esrj-113518	393	2	learning	learn	VERB
esrj-113518	393	3	for	for	ADP
esrj-113518	393	4	feature	feature	NOUN
esrj-113518	393	5	dimensionality	dimensionality	NOUN
esrj-113518	393	6	reduction	reduction	NOUN
esrj-113518	393	7	.	.	PUNCT
esrj-113518	394	1	the	the	DET
esrj-113518	394	2	international	international	ADJ
esrj-113518	394	3	arab	arab	PROPN
esrj-113518	394	4	journal	journal	PROPN
esrj-113518	394	5	of	of	ADP
esrj-113518	394	6	information	information	NOUN
esrj-113518	394	7	technology	technology	NOUN
esrj-113518	394	8	,	,	PUNCT
esrj-113518	394	9	19(5	19(5	NUM
esrj-113518	394	10	)	)	PUNCT
esrj-113518	394	11	,	,	PUNCT
esrj-113518	394	12	721	721	NUM
esrj-113518	394	13	-	-	SYM
esrj-113518	394	14	727	727	NUM
esrj-113518	394	15	.	.	PUNCT
esrj-113518	395	1	https://doi.org/10.34028/iajit/19/5/3	https://doi.org/10.34028/iajit/19/5/3	VERB
esrj-113518	395	2	velayudhan	velayudhan	PROPN
esrj-113518	395	3	,	,	PUNCT
esrj-113518	395	4	d.	d.	PROPN
esrj-113518	395	5	,	,	PUNCT
esrj-113518	395	6	hassan	hassan	PROPN
esrj-113518	395	7	,	,	PUNCT
esrj-113518	395	8	t.	t.	PROPN
esrj-113518	395	9	,	,	PUNCT
esrj-113518	395	10	ahmed	ahmed	PROPN
esrj-113518	395	11	,	,	PUNCT
esrj-113518	395	12	a.	a.	PROPN
esrj-113518	395	13	h.	h.	PROPN
esrj-113518	395	14	,	,	PUNCT
esrj-113518	395	15	damiani	damiani	PROPN
esrj-113518	395	16	,	,	PUNCT
esrj-113518	395	17	e.	e.	PROPN
esrj-113518	395	18	,	,	PUNCT
esrj-113518	395	19	&	&	CCONJ
esrj-113518	395	20	werghi	werghi	PROPN
esrj-113518	395	21	,	,	PUNCT
esrj-113518	395	22	n.	n.	NOUN
esrj-113518	395	23	(	(	PUNCT
esrj-113518	395	24	2022	2022	NUM
esrj-113518	395	25	)	)	PUNCT
esrj-113518	395	26	.	.	PUNCT
esrj-113518	396	1	baggage	baggage	NOUN
esrj-113518	396	2	threat	threat	NOUN
esrj-113518	396	3	recognition	recognition	NOUN
esrj-113518	396	4	using	use	VERB
esrj-113518	396	5	deep	deep	ADJ
esrj-113518	396	6	low	low	ADJ
esrj-113518	396	7	-	-	PUNCT
esrj-113518	396	8	rank	rank	NOUN
esrj-113518	396	9	broad	broad	ADJ
esrj-113518	396	10	learning	learning	NOUN
esrj-113518	396	11	detector	detector	NOUN
esrj-113518	396	12	.	.	PUNCT
esrj-113518	397	1	paper	paper	NOUN
esrj-113518	397	2	presented	present	VERB
esrj-113518	397	3	at	at	ADP
esrj-113518	397	4	the	the	DET
esrj-113518	397	5	2022	2022	NUM
esrj-113518	397	6	ieee	ieee	NOUN
esrj-113518	397	7	21st	21st	PROPN
esrj-113518	397	8	mediterranean	mediterranean	PROPN
esrj-113518	397	9	electrotechnical	electrotechnical	ADJ
esrj-113518	397	10	conference	conference	NOUN
esrj-113518	397	11	(	(	PUNCT
esrj-113518	397	12	melecon	melecon	NOUN
esrj-113518	397	13	)	)	PUNCT
esrj-113518	397	14	.	.	PUNCT
esrj-113518	398	1	doi	doi	NOUN
esrj-113518	398	2	:	:	PUNCT
esrj-113518	398	3	10.1109	10.1109	NUM
esrj-113518	398	4	/	/	SYM
esrj-113518	398	5	melecon53508.2022.9842976	melecon53508.2022.9842976	NOUN
esrj-113518	398	6	wu	wu	PROPN
esrj-113518	398	7	,	,	PUNCT
esrj-113518	398	8	f.	f.	PROPN
esrj-113518	398	9	,	,	PUNCT
esrj-113518	398	10	maleki	maleki	PROPN
esrj-113518	398	11	,	,	PUNCT
esrj-113518	398	12	r.	r.	PROPN
esrj-113518	398	13	,	,	PUNCT
esrj-113518	398	14	oubara	oubara	PROPN
esrj-113518	398	15	,	,	PUNCT
esrj-113518	398	16	a.	a.	NOUN
esrj-113518	398	17	,	,	PUNCT
esrj-113518	398	18	gómez	gómez	NOUN
esrj-113518	398	19	,	,	PUNCT
esrj-113518	398	20	d.	d.	PROPN
esrj-113518	398	21	,	,	PUNCT
esrj-113518	398	22	eftekhari	eftekhari	PROPN
esrj-113518	398	23	,	,	PUNCT
esrj-113518	398	24	a.	a.	PROPN
esrj-113518	398	25	,	,	PUNCT
esrj-113518	398	26	&	&	CCONJ
esrj-113518	398	27	yang	yang	PROPN
esrj-113518	398	28	,	,	PUNCT
esrj-113518	398	29	g.	g.	PROPN
esrj-113518	398	30	(	(	PUNCT
esrj-113518	398	31	2022	2022	NUM
esrj-113518	398	32	)	)	PUNCT
esrj-113518	398	33	.	.	PUNCT
esrj-113518	399	1	machine	machine	NOUN
esrj-113518	399	2	learning	learn	VERB
esrj-113518	399	3	approaches	approach	VERB
esrj-113518	399	4	for	for	ADP
esrj-113518	399	5	crop	crop	NOUN
esrj-113518	399	6	identification	identification	NOUN
esrj-113518	399	7	from	from	ADP
esrj-113518	399	8	remote	remote	ADJ
esrj-113518	399	9	sensing	sense	VERB
esrj-113518	399	10	imagery	imagery	NOUN
esrj-113518	399	11	:	:	PUNCT
esrj-113518	399	12	a	a	DET
esrj-113518	399	13	review	review	NOUN
esrj-113518	399	14	.	.	PUNCT
esrj-113518	400	1	paper	paper	NOUN
esrj-113518	400	2	presented	present	VERB
esrj-113518	400	3	at	at	ADP
esrj-113518	400	4	the	the	DET
esrj-113518	400	5	international	international	ADJ
esrj-113518	400	6	conference	conference	NOUN
esrj-113518	400	7	on	on	ADP
esrj-113518	400	8	soft	soft	ADJ
esrj-113518	400	9	computing	computing	NOUN
esrj-113518	400	10	and	and	CCONJ
esrj-113518	400	11	pattern	pattern	NOUN
esrj-113518	400	12	recognition	recognition	NOUN
esrj-113518	400	13	.	.	PUNCT
esrj-113518	401	1	https://doi.org/10.1007/9783-031-27524-1_31	https://doi.org/10.1007/9783-031-27524-1_31	PROPN
esrj-113518	401	2	yeşilmen	yeşilman	NOUN
esrj-113518	401	3	,	,	PUNCT
esrj-113518	401	4	s.	s.	PROPN
esrj-113518	401	5	,	,	PUNCT
esrj-113518	401	6	&	&	CCONJ
esrj-113518	401	7	tatar	tatar	PROPN
esrj-113518	401	8	,	,	PUNCT
esrj-113518	401	9	b.	b.	PROPN
esrj-113518	401	10	(	(	PUNCT
esrj-113518	401	11	2022	2022	NUM
esrj-113518	401	12	)	)	PUNCT
esrj-113518	401	13	.	.	PUNCT
esrj-113518	402	1	efficiency	efficiency	NOUN
esrj-113518	402	2	of	of	ADP
esrj-113518	402	3	convolutional	convolutional	ADJ
esrj-113518	402	4	neural	neural	ADJ
esrj-113518	402	5	networks	network	NOUN
esrj-113518	402	6	(	(	PUNCT
esrj-113518	402	7	cnn	cnn	PROPN
esrj-113518	402	8	)	)	PUNCT
esrj-113518	402	9	based	base	VERB
esrj-113518	402	10	image	image	NOUN
esrj-113518	402	11	classification	classification	NOUN
esrj-113518	402	12	for	for	ADP
esrj-113518	402	13	monitoring	monitor	VERB
esrj-113518	402	14	construction	construction	NOUN
esrj-113518	402	15	related	relate	VERB
esrj-113518	402	16	activities	activity	NOUN
esrj-113518	402	17	:	:	PUNCT
esrj-113518	402	18	a	a	DET
esrj-113518	402	19	case	case	NOUN
esrj-113518	402	20	study	study	NOUN
esrj-113518	402	21	on	on	ADP
esrj-113518	402	22	aggregate	aggregate	ADJ
esrj-113518	402	23	mining	mining	NOUN
esrj-113518	402	24	for	for	ADP
esrj-113518	402	25	concrete	concrete	ADJ
esrj-113518	402	26	production	production	NOUN
esrj-113518	402	27	.	.	PUNCT
esrj-113518	403	1	case	case	NOUN
esrj-113518	403	2	studies	study	NOUN
esrj-113518	403	3	in	in	ADP
esrj-113518	403	4	construction	construction	NOUN
esrj-113518	403	5	materials	material	NOUN
esrj-113518	403	6	,	,	PUNCT
esrj-113518	403	7	17	17	NUM
esrj-113518	403	8	,	,	PUNCT
esrj-113518	403	9	e01372	e01372	PROPN
esrj-113518	403	10	.	.	PUNCT
esrj-113518	403	11	https://doi.org/10.1016/j.cscm.2022.e01372	https://doi.org/10.1016/j.cscm.2022.e01372	PROPN
esrj-113518	404	1	zhang	zhang	PROPN
esrj-113518	404	2	,	,	PUNCT
esrj-113518	404	3	s.	s.	PROPN
esrj-113518	404	4	,	,	PUNCT
esrj-113518	404	5	yang	yang	PROPN
esrj-113518	404	6	,	,	PUNCT
esrj-113518	404	7	p.	p.	PROPN
esrj-113518	404	8	,	,	PUNCT
esrj-113518	404	9	xia	xia	PROPN
esrj-113518	404	10	,	,	PUNCT
esrj-113518	404	11	j.	j.	PROPN
esrj-113518	404	12	,	,	PUNCT
esrj-113518	404	13	wang	wang	PROPN
esrj-113518	404	14	,	,	PUNCT
esrj-113518	404	15	w.	w.	PROPN
esrj-113518	404	16	,	,	PUNCT
esrj-113518	404	17	cai	cai	PROPN
esrj-113518	404	18	,	,	PUNCT
esrj-113518	404	19	w.	w.	PROPN
esrj-113518	404	20	,	,	PUNCT
esrj-113518	404	21	chen	chen	PROPN
esrj-113518	404	22	,	,	PUNCT
esrj-113518	404	23	n.	n.	PROPN
esrj-113518	404	24	,	,	PUNCT
esrj-113518	404	25	.	.	PUNCT
esrj-113518	404	26	.	.	PUNCT
esrj-113518	404	27	.	.	PUNCT
esrj-113518	405	1	zhan	zhan	PROPN
esrj-113518	405	2	,	,	PUNCT
esrj-113518	405	3	c.	c.	PROPN
esrj-113518	405	4	(	(	PUNCT
esrj-113518	405	5	2023	2023	NUM
esrj-113518	405	6	)	)	PUNCT
esrj-113518	405	7	.	.	PUNCT
esrj-113518	406	1	remote	remote	ADJ
esrj-113518	406	2	sensing	sense	VERB
esrj-113518	406	3	inversion	inversion	NOUN
esrj-113518	406	4	and	and	CCONJ
esrj-113518	406	5	prediction	prediction	NOUN
esrj-113518	406	6	of	of	ADP
esrj-113518	406	7	land	land	NOUN
esrj-113518	406	8	use	use	NOUN
esrj-113518	406	9	land	land	NOUN
esrj-113518	406	10	cover	cover	NOUN
esrj-113518	406	11	in	in	ADP
esrj-113518	406	12	the	the	DET
esrj-113518	406	13	middle	middle	ADJ
esrj-113518	406	14	reaches	reach	NOUN
esrj-113518	406	15	of	of	ADP
esrj-113518	406	16	the	the	DET
esrj-113518	406	17	yangtze	yangtze	PROPN
esrj-113518	406	18	river	river	PROPN
esrj-113518	406	19	basin	basin	PROPN
esrj-113518	406	20	,	,	PUNCT
esrj-113518	406	21	china	china	PROPN
esrj-113518	406	22	.	.	PUNCT
esrj-113518	407	1	environmental	environmental	ADJ
esrj-113518	407	2	science	science	NOUN
esrj-113518	407	3	and	and	CCONJ
esrj-113518	407	4	pollution	pollution	NOUN
esrj-113518	407	5	research	research	NOUN
esrj-113518	407	6	,	,	PUNCT
esrj-113518	407	7	30(16	30(16	NOUN
esrj-113518	407	8	)	)	PUNCT
esrj-113518	407	9	,	,	PUNCT
esrj-113518	407	10	46306	46306	NUM
esrj-113518	407	11	-	-	SYM
esrj-113518	407	12	46320	46320	NUM
esrj-113518	407	13	.	.	PUNCT
esrj-113518	408	1	https://doi.org/10.1007/	https://doi.org/10.1007/	PROPN
esrj-113518	408	2	s11356	s11356	PROPN
esrj-113518	408	3	-	-	PUNCT
esrj-113518	408	4	023	023	NUM
esrj-113518	408	5	-	-	PUNCT
esrj-113518	408	6	25424	25424	NUM
esrj-113518	408	7	-	-	SYM
esrj-113518	408	8	8	8	NUM
esrj-113518	408	9	zhang	zhang	PROPN
esrj-113518	408	10	,	,	PUNCT
esrj-113518	408	11	x.	x.	PROPN
esrj-113518	408	12	,	,	PUNCT
esrj-113518	408	13	han	han	PROPN
esrj-113518	408	14	,	,	PUNCT
esrj-113518	408	15	l.	l.	PROPN
esrj-113518	408	16	,	,	PUNCT
esrj-113518	408	17	han	han	PROPN
esrj-113518	408	18	,	,	PUNCT
esrj-113518	408	19	l.	l.	PROPN
esrj-113518	408	20	,	,	PUNCT
esrj-113518	408	21	&	&	CCONJ
esrj-113518	408	22	zhu	zhu	PROPN
esrj-113518	408	23	,	,	PUNCT
esrj-113518	408	24	l.	l.	PROPN
esrj-113518	408	25	(	(	PUNCT
esrj-113518	408	26	2020	2020	NUM
esrj-113518	408	27	)	)	PUNCT
esrj-113518	408	28	.	.	PUNCT
esrj-113518	409	1	how	how	SCONJ
esrj-113518	409	2	well	well	ADV
esrj-113518	409	3	do	do	AUX
esrj-113518	409	4	deep	deep	ADJ
esrj-113518	409	5	learning	learning	NOUN
esrj-113518	409	6	-	-	PUNCT
esrj-113518	409	7	based	base	VERB
esrj-113518	409	8	methods	method	NOUN
esrj-113518	409	9	for	for	ADP
esrj-113518	409	10	land	land	NOUN
esrj-113518	409	11	cover	cover	NOUN
esrj-113518	409	12	classification	classification	NOUN
esrj-113518	409	13	and	and	CCONJ
esrj-113518	409	14	object	object	NOUN
esrj-113518	409	15	detection	detection	NOUN
esrj-113518	409	16	perform	perform	VERB
esrj-113518	409	17	on	on	ADP
esrj-113518	409	18	high	high	ADJ
esrj-113518	409	19	resolution	resolution	NOUN
esrj-113518	409	20	remote	remote	ADJ
esrj-113518	409	21	sensing	sense	VERB
esrj-113518	409	22	imagery	imagery	NOUN
esrj-113518	409	23	?	?	PUNCT
esrj-113518	410	1	remote	remote	ADJ
esrj-113518	410	2	sensing	sensing	NOUN
esrj-113518	410	3	,	,	PUNCT
esrj-113518	410	4	12(3	12(3	NUM
esrj-113518	410	5	)	)	PUNCT
esrj-113518	410	6	,	,	PUNCT
esrj-113518	410	7	417	417	NUM
esrj-113518	410	8	.	.	PUNCT
esrj-113518	411	1	https://doi.org/10.3390/rs12030417	https://doi.org/10.3390/rs12030417	X
esrj-113518	412	1	https://doi.org/10.1109/lgrs.2019.2896411	https://doi.org/10.1109/lgrs.2019.2896411	AUX
esrj-113518	412	2	https://doi.org/10.1007/s00521-022-07246-w	https://doi.org/10.1007/s00521-022-07246-w	NOUN
esrj-113518	412	3	https://doi.org/10.1007/s00521-022-07246-w	https://doi.org/10.1007/s00521-022-07246-w	NOUN
esrj-113518	412	4	https://doi.org/10.34028/iajit/19/5/3	https://doi.org/10.34028/iajit/19/5/3	ADJ
esrj-113518	412	5	https://doi.org/10.1007/978-3-031-27524-1_31	https://doi.org/10.1007/978-3-031-27524-1_31	PROPN
esrj-113518	412	6	https://doi.org/10.1007/978-3-031-27524-1_31	https://doi.org/10.1007/978-3-031-27524-1_31	PROPN
esrj-113518	412	7	https://doi.org/10.1016/j.cscm.2022.e01372	https://doi.org/10.1016/j.cscm.2022.e01372	PUNCT
esrj-113518	412	8	https://doi.org/10.1016/j.cscm.2022.e01372	https://doi.org/10.1016/j.cscm.2022.e01372	VERB
esrj-113518	412	9	https://doi.org/10.1007/s11356-023-25424-8	https://doi.org/10.1007/s11356-023-25424-8	PRON
esrj-113518	412	10	https://doi.org/10.1007/s11356-023-25424-8	https://doi.org/10.1007/s11356-023-25424-8	NUM
esrj-113518	413	1	https://doi.org/10.3390/rs12030417	https://doi.org/10.3390/rs12030417	X
esrj-113518	413	2	https://doi.org/10.3390/rs12030417	https://doi.org/10.3390/rs12030417	ADP
esrj-113518	413	3	introduction	introduction	NOUN
esrj-113518	413	4	scene_classification_through_deep_neural	scene_classification_through_deep_neural	PROPN
esrj-113518	413	5	existing_deep_networks	existing_deep_network	NOUN
esrj-113518	413	6	_	_	PUNCT
esrj-113518	413	7	ref179625881	ref179625881	NOUN
esrj-113518	413	8	_	_	DET
esrj-113518	413	9	ref179626009	ref179626009	NOUN
esrj-113518	413	10	_	_	PUNCT
esrj-113518	413	11	bookmark7	bookmark7	NOUN
esrj-113518	414	1	_	_	PUNCT
esrj-113518	414	2	ref179626170	ref179626170	VERB
esrj-113518	414	3	_	_	DET
esrj-113518	414	4	ref179626261	ref179626261	NOUN
esrj-113518	414	5	_	_	PRON
esrj-113518	414	6	bookmark13	bookmark13	X
esrj-113518	414	7	_	_	PRON
esrj-113518	414	8	ref179626479	ref179626479	VERB
esrj-113518	414	9	_	_	PRON
esrj-113518	414	10	ref179626709	ref179626709	NOUN
esrj-113518	414	11	_	_	NOUN
esrj-113518	414	12	ref179626909	ref179626909	NOUN
esrj-113518	414	13	_	_	PRON
esrj-113518	414	14	ref179626912	ref179626912	VERB
esrj-113518	414	15	_	_	DET
esrj-113518	414	16	bookmark15	bookmark15	NOUN
esrj-113518	414	17	_	_	PRON
esrj-113518	414	18	ref179627052	ref179627052	VERB