id	sid	tid	token	lemma	pos
fcis-15817	1	1	frontiers	frontier	NOUN
fcis-15817	1	2	in	in	ADP
fcis-15817	1	3	computing	computing	NOUN
fcis-15817	1	4	and	and	CCONJ
fcis-15817	1	5	intelligent	intelligent	ADJ
fcis-15817	1	6	systems	system	NOUN
fcis-15817	1	7	issn	issn	VERB
fcis-15817	1	8	:	:	PUNCT
fcis-15817	1	9	2832	2832	NUM
fcis-15817	1	10	-	-	SYM
fcis-15817	1	11	6024	6024	NUM
fcis-15817	1	12	|	|	NOUN
fcis-15817	1	13	vol	vol	NOUN
fcis-15817	1	14	.	.	PROPN
fcis-15817	2	1	6	6	NUM
fcis-15817	2	2	,	,	PUNCT
fcis-15817	2	3	no	no	INTJ
fcis-15817	2	4	.	.	NOUN
fcis-15817	2	5	3	3	NUM
fcis-15817	2	6	,	,	PUNCT
fcis-15817	2	7	2023	2023	NUM
fcis-15817	2	8	96	96	NUM
fcis-15817	2	9	a	a	DET
fcis-15817	2	10	license	license	NOUN
fcis-15817	2	11	plate	plate	NOUN
fcis-15817	2	12	detection	detection	NOUN
fcis-15817	2	13	and	and	CCONJ
fcis-15817	2	14	recognition	recognition	NOUN
fcis-15817	2	15	method	method	NOUN
fcis-15817	2	16	based	base	VERB
fcis-15817	2	17	on	on	ADP
fcis-15817	3	1	improved	improved	ADJ
fcis-15817	3	2	yolov5	yolov5	NOUN
fcis-15817	3	3	weiping	weipe	VERB
fcis-15817	3	4	yang	yang	PROPN
fcis-15817	4	1	*	*	PROPN
fcis-15817	4	2	,	,	PUNCT
fcis-15817	4	3	chao	chao	PROPN
fcis-15817	4	4	huang	huang	PROPN
fcis-15817	4	5	school	school	PROPN
fcis-15817	4	6	of	of	ADP
fcis-15817	4	7	cybersecurity	cybersecurity	NOUN
fcis-15817	4	8	,	,	PUNCT
fcis-15817	4	9	chengdu	chengdu	PROPN
fcis-15817	4	10	university	university	PROPN
fcis-15817	4	11	of	of	ADP
fcis-15817	4	12	information	information	NOUN
fcis-15817	4	13	technology	technology	PROPN
fcis-15817	4	14	,	,	PUNCT
fcis-15817	4	15	chengdu	chengdu	PROPN
fcis-15817	4	16	,	,	PUNCT
fcis-15817	4	17	sichuan	sichuan	PROPN
fcis-15817	4	18	,	,	PUNCT
fcis-15817	4	19	610200	610200	NUM
fcis-15817	4	20	,	,	PUNCT
fcis-15817	4	21	china	china	PROPN
fcis-15817	4	22	*	*	PUNCT
fcis-15817	4	23	corresponding	correspond	VERB
fcis-15817	4	24	author	author	NOUN
fcis-15817	4	25	:	:	PUNCT
fcis-15817	4	26	weiping	weiping	NOUN
fcis-15817	4	27	yang	yang	PROPN
fcis-15817	4	28	(	(	PUNCT
fcis-15817	4	29	email	email	NOUN
fcis-15817	4	30	:	:	PUNCT
fcis-15817	4	31	yangflat1997@outlook.com	yangflat1997@outlook.com	X
fcis-15817	4	32	)	)	PUNCT
fcis-15817	4	33	abstract	abstract	NOUN
fcis-15817	4	34	:	:	PUNCT
fcis-15817	4	35	this	this	DET
fcis-15817	4	36	study	study	NOUN
fcis-15817	4	37	proposes	propose	VERB
fcis-15817	4	38	a	a	DET
fcis-15817	4	39	license	license	NOUN
fcis-15817	4	40	plate	plate	NOUN
fcis-15817	4	41	detection	detection	NOUN
fcis-15817	4	42	and	and	CCONJ
fcis-15817	4	43	recognition	recognition	NOUN
fcis-15817	4	44	method	method	NOUN
fcis-15817	4	45	based	base	VERB
fcis-15817	4	46	on	on	ADP
fcis-15817	4	47	yolov5	yolov5	NOUN
fcis-15817	4	48	.	.	PUNCT
fcis-15817	5	1	in	in	ADP
fcis-15817	5	2	order	order	NOUN
fcis-15817	5	3	to	to	PART
fcis-15817	5	4	accurately	accurately	ADV
fcis-15817	5	5	detect	detect	VERB
fcis-15817	5	6	the	the	DET
fcis-15817	5	7	license	license	NOUN
fcis-15817	5	8	plate	plate	NOUN
fcis-15817	5	9	and	and	CCONJ
fcis-15817	5	10	accurately	accurately	ADV
fcis-15817	5	11	identify	identify	VERB
fcis-15817	5	12	the	the	DET
fcis-15817	5	13	license	license	NOUN
fcis-15817	5	14	plate	plate	NOUN
fcis-15817	5	15	number	number	NOUN
fcis-15817	5	16	,	,	PUNCT
fcis-15817	5	17	this	this	DET
fcis-15817	5	18	study	study	NOUN
fcis-15817	5	19	adds	add	VERB
fcis-15817	5	20	key	key	ADJ
fcis-15817	5	21	point	point	NOUN
fcis-15817	5	22	detection	detection	NOUN
fcis-15817	5	23	based	base	VERB
fcis-15817	5	24	on	on	ADP
fcis-15817	5	25	the	the	DET
fcis-15817	5	26	yolov5	yolov5	NOUN
fcis-15817	5	27	algorithm	algorithm	NOUN
fcis-15817	5	28	to	to	PART
fcis-15817	5	29	correct	correct	VERB
fcis-15817	5	30	the	the	DET
fcis-15817	5	31	license	license	NOUN
fcis-15817	5	32	plate	plate	NOUN
fcis-15817	5	33	image	image	NOUN
fcis-15817	5	34	into	into	ADP
fcis-15817	5	35	a	a	DET
fcis-15817	5	36	rectangle	rectangle	NOUN
fcis-15817	5	37	through	through	ADP
fcis-15817	5	38	perspective	perspective	ADJ
fcis-15817	5	39	transformation	transformation	NOUN
fcis-15817	5	40	,	,	PUNCT
fcis-15817	5	41	which	which	PRON
fcis-15817	5	42	greatly	greatly	ADV
fcis-15817	5	43	improves	improve	VERB
fcis-15817	5	44	the	the	DET
fcis-15817	5	45	accuracy	accuracy	NOUN
fcis-15817	5	46	of	of	ADP
fcis-15817	5	47	license	license	NOUN
fcis-15817	5	48	plate	plate	NOUN
fcis-15817	5	49	number	number	NOUN
fcis-15817	5	50	recognition	recognition	NOUN
fcis-15817	5	51	.	.	PUNCT
fcis-15817	6	1	due	due	ADP
fcis-15817	6	2	to	to	ADP
fcis-15817	6	3	embedded	embed	VERB
fcis-15817	6	4	deployment	deployment	NOUN
fcis-15817	6	5	,	,	PUNCT
fcis-15817	6	6	this	this	DET
fcis-15817	6	7	study	study	NOUN
fcis-15817	6	8	simplifies	simplify	VERB
fcis-15817	6	9	the	the	DET
fcis-15817	6	10	yolov5	yolov5	NOUN
fcis-15817	6	11	network	network	NOUN
fcis-15817	6	12	structure	structure	NOUN
fcis-15817	6	13	to	to	ADP
fcis-15817	6	14	a	a	DET
fcis-15817	6	15	certain	certain	ADJ
fcis-15817	6	16	extent	extent	NOUN
fcis-15817	6	17	.	.	PUNCT
fcis-15817	7	1	while	while	SCONJ
fcis-15817	7	2	reducing	reduce	VERB
fcis-15817	7	3	the	the	DET
fcis-15817	7	4	network	network	NOUN
fcis-15817	7	5	depth	depth	NOUN
fcis-15817	7	6	and	and	CCONJ
fcis-15817	7	7	width	width	NOUN
fcis-15817	7	8	,	,	PUNCT
fcis-15817	7	9	shufflenet	shufflenet	NOUN
fcis-15817	7	10	block	block	NOUN
fcis-15817	7	11	is	be	AUX
fcis-15817	7	12	used	use	VERB
fcis-15817	7	13	to	to	PART
fcis-15817	7	14	replace	replace	VERB
fcis-15817	7	15	the	the	DET
fcis-15817	7	16	c3	c3	NOUN
fcis-15817	7	17	module	module	NOUN
fcis-15817	7	18	in	in	ADP
fcis-15817	7	19	yolov5	yolov5	NOUN
fcis-15817	7	20	.	.	PUNCT
fcis-15817	8	1	in	in	ADP
fcis-15817	8	2	the	the	DET
fcis-15817	8	3	end	end	NOUN
fcis-15817	8	4	,	,	PUNCT
fcis-15817	8	5	this	this	DET
fcis-15817	8	6	study	study	NOUN
fcis-15817	8	7	achieved	achieve	VERB
fcis-15817	8	8	a	a	DET
fcis-15817	8	9	mean	mean	ADJ
fcis-15817	8	10	average	average	ADJ
fcis-15817	8	11	precision	precision	NOUN
fcis-15817	8	12	(	(	PUNCT
fcis-15817	8	13	map	map	NOUN
fcis-15817	8	14	)	)	PUNCT
fcis-15817	8	15	of	of	ADP
fcis-15817	8	16	89.7	89.7	NUM
fcis-15817	8	17	%	%	NOUN
fcis-15817	8	18	while	while	SCONJ
fcis-15817	8	19	controlling	control	VERB
fcis-15817	8	20	the	the	DET
fcis-15817	8	21	network	network	NOUN
fcis-15817	8	22	calculation	calculation	NOUN
fcis-15817	8	23	amount	amount	NOUN
fcis-15817	8	24	to	to	ADP
fcis-15817	8	25	5gflops	5gflops	NUM
fcis-15817	8	26	.	.	PUNCT
fcis-15817	9	1	therefore	therefore	ADV
fcis-15817	9	2	,	,	PUNCT
fcis-15817	9	3	this	this	DET
fcis-15817	9	4	model	model	NOUN
fcis-15817	9	5	has	have	VERB
fcis-15817	9	6	broad	broad	ADJ
fcis-15817	9	7	application	application	NOUN
fcis-15817	9	8	prospects	prospect	NOUN
fcis-15817	9	9	in	in	ADP
fcis-15817	9	10	the	the	DET
fcis-15817	9	11	transportation	transportation	NOUN
fcis-15817	9	12	field	field	NOUN
fcis-15817	9	13	.	.	PUNCT
fcis-15817	10	1	keywords	keyword	NOUN
fcis-15817	10	2	:	:	PUNCT
fcis-15817	10	3	license	license	NOUN
fcis-15817	10	4	plate	plate	NOUN
fcis-15817	10	5	detection	detection	NOUN
fcis-15817	10	6	;	;	PUNCT
fcis-15817	10	7	yolov5	yolov5	NOUN
fcis-15817	10	8	;	;	PUNCT
fcis-15817	10	9	key	key	ADJ
fcis-15817	10	10	point	point	NOUN
fcis-15817	10	11	detection	detection	NOUN
fcis-15817	10	12	;	;	PUNCT
fcis-15817	10	13	shufflenet	shufflenet	NOUN
fcis-15817	10	14	.	.	PUNCT
fcis-15817	11	1	1	1	X
fcis-15817	11	2	.	.	X
fcis-15817	11	3	introduction	introduction	NOUN
fcis-15817	11	4	license	license	NOUN
fcis-15817	11	5	plate	plate	NOUN
fcis-15817	11	6	detection	detection	NOUN
fcis-15817	11	7	is	be	AUX
fcis-15817	11	8	an	an	DET
fcis-15817	11	9	important	important	ADJ
fcis-15817	11	10	research	research	NOUN
fcis-15817	11	11	direction	direction	NOUN
fcis-15817	11	12	in	in	ADP
fcis-15817	11	13	the	the	DET
fcis-15817	11	14	field	field	NOUN
fcis-15817	11	15	of	of	ADP
fcis-15817	11	16	computer	computer	NOUN
fcis-15817	11	17	vision	vision	NOUN
fcis-15817	11	18	,	,	PUNCT
fcis-15817	11	19	aiming	aim	VERB
fcis-15817	11	20	to	to	PART
fcis-15817	11	21	achieve	achieve	VERB
fcis-15817	11	22	automatic	automatic	ADJ
fcis-15817	11	23	detection	detection	NOUN
fcis-15817	11	24	and	and	CCONJ
fcis-15817	11	25	recognition	recognition	NOUN
fcis-15817	11	26	of	of	ADP
fcis-15817	11	27	license	license	NOUN
fcis-15817	11	28	plates	plate	NOUN
fcis-15817	11	29	.	.	PUNCT
fcis-15817	12	1	license	license	NOUN
fcis-15817	12	2	plates	plate	NOUN
fcis-15817	12	3	are	be	AUX
fcis-15817	12	4	an	an	DET
fcis-15817	12	5	important	important	ADJ
fcis-15817	12	6	indicator	indicator	NOUN
fcis-15817	12	7	of	of	ADP
fcis-15817	12	8	vehicle	vehicle	NOUN
fcis-15817	12	9	identity	identity	NOUN
fcis-15817	12	10	and	and	CCONJ
fcis-15817	12	11	are	be	AUX
fcis-15817	12	12	widely	widely	ADV
fcis-15817	12	13	used	use	VERB
fcis-15817	12	14	in	in	ADP
fcis-15817	12	15	traffic	traffic	NOUN
fcis-15817	12	16	management	management	NOUN
fcis-15817	12	17	,	,	PUNCT
fcis-15817	12	18	smart	smart	ADJ
fcis-15817	12	19	security	security	NOUN
fcis-15817	12	20	and	and	CCONJ
fcis-15817	12	21	other	other	ADJ
fcis-15817	12	22	fields	field	NOUN
fcis-15817	12	23	.	.	PUNCT
fcis-15817	13	1	therefore	therefore	ADV
fcis-15817	13	2	,	,	PUNCT
fcis-15817	13	3	license	license	NOUN
fcis-15817	13	4	plate	plate	NOUN
fcis-15817	13	5	detection	detection	NOUN
fcis-15817	13	6	technology	technology	NOUN
fcis-15817	13	7	is	be	AUX
fcis-15817	13	8	of	of	ADP
fcis-15817	13	9	great	great	ADJ
fcis-15817	13	10	significance	significance	NOUN
fcis-15817	13	11	in	in	ADP
fcis-15817	13	12	improving	improve	VERB
fcis-15817	13	13	traffic	traffic	NOUN
fcis-15817	13	14	management	management	NOUN
fcis-15817	13	15	efficiency	efficiency	NOUN
fcis-15817	13	16	and	and	CCONJ
fcis-15817	13	17	ensuring	ensure	VERB
fcis-15817	13	18	traffic	traffic	NOUN
fcis-15817	13	19	safety	safety	NOUN
fcis-15817	13	20	.	.	PUNCT
fcis-15817	14	1	[	[	X
fcis-15817	14	2	1	1	NUM
fcis-15817	14	3	-	-	SYM
fcis-15817	14	4	2	2	NUM
fcis-15817	14	5	]	]	PUNCT
fcis-15817	14	6	traditional	traditional	ADJ
fcis-15817	14	7	license	license	NOUN
fcis-15817	14	8	plate	plate	NOUN
fcis-15817	14	9	detection	detection	NOUN
fcis-15817	14	10	methods	method	NOUN
fcis-15817	14	11	are	be	AUX
fcis-15817	14	12	usually	usually	ADV
fcis-15817	14	13	based	base	VERB
fcis-15817	14	14	on	on	ADP
fcis-15817	14	15	image	image	NOUN
fcis-15817	14	16	processing	processing	NOUN
fcis-15817	14	17	technologies	technology	NOUN
fcis-15817	14	18	,	,	PUNCT
fcis-15817	14	19	such	such	ADJ
fcis-15817	14	20	as	as	ADP
fcis-15817	14	21	edge	edge	NOUN
fcis-15817	14	22	detection	detection	NOUN
fcis-15817	14	23	,	,	PUNCT
fcis-15817	14	24	morphological	morphological	ADJ
fcis-15817	14	25	processing	processing	NOUN
fcis-15817	14	26	,	,	PUNCT
fcis-15817	14	27	etc	etc	X
fcis-15817	14	28	.	.	X
fcis-15817	14	29	however	however	ADV
fcis-15817	14	30	,	,	PUNCT
fcis-15817	14	31	these	these	DET
fcis-15817	14	32	methods	method	NOUN
fcis-15817	14	33	are	be	AUX
fcis-15817	14	34	often	often	ADV
fcis-15817	14	35	interfered	interfere	VERB
fcis-15817	14	36	by	by	ADP
fcis-15817	14	37	lighting	lighting	NOUN
fcis-15817	14	38	conditions	condition	NOUN
fcis-15817	14	39	,	,	PUNCT
fcis-15817	14	40	license	license	NOUN
fcis-15817	14	41	plate	plate	NOUN
fcis-15817	14	42	contamination	contamination	NOUN
fcis-15817	14	43	and	and	CCONJ
fcis-15817	14	44	other	other	ADJ
fcis-15817	14	45	factors	factor	NOUN
fcis-15817	14	46	,	,	PUNCT
fcis-15817	14	47	making	make	VERB
fcis-15817	14	48	it	it	PRON
fcis-15817	14	49	difficult	difficult	ADJ
fcis-15817	14	50	to	to	PART
fcis-15817	14	51	achieve	achieve	VERB
fcis-15817	14	52	accurate	accurate	ADJ
fcis-15817	14	53	license	license	NOUN
fcis-15817	14	54	plate	plate	NOUN
fcis-15817	14	55	detection	detection	NOUN
fcis-15817	14	56	.	.	PUNCT
fcis-15817	15	1	with	with	ADP
fcis-15817	15	2	the	the	DET
fcis-15817	15	3	development	development	NOUN
fcis-15817	15	4	of	of	ADP
fcis-15817	15	5	deep	deep	ADJ
fcis-15817	15	6	learning	learning	NOUN
fcis-15817	15	7	technology	technology	NOUN
fcis-15817	15	8	,	,	PUNCT
fcis-15817	15	9	license	license	NOUN
fcis-15817	15	10	plate	plate	NOUN
fcis-15817	15	11	detection	detection	NOUN
fcis-15817	15	12	algorithms	algorithm	NOUN
fcis-15817	15	13	based	base	VERB
fcis-15817	15	14	on	on	ADP
fcis-15817	15	15	deep	deep	ADJ
fcis-15817	15	16	learning	learning	NOUN
fcis-15817	15	17	have	have	AUX
fcis-15817	15	18	gradually	gradually	ADV
fcis-15817	15	19	become	become	VERB
fcis-15817	15	20	a	a	DET
fcis-15817	15	21	research	research	NOUN
fcis-15817	15	22	hotspot	hotspot	NOUN
fcis-15817	15	23	.	.	PUNCT
fcis-15817	16	1	deep	deep	ADJ
fcis-15817	16	2	learning	learning	NOUN
fcis-15817	16	3	technology	technology	NOUN
fcis-15817	16	4	can	can	AUX
fcis-15817	16	5	automatically	automatically	ADV
fcis-15817	16	6	extract	extract	VERB
fcis-15817	16	7	image	image	NOUN
fcis-15817	16	8	features	feature	NOUN
fcis-15817	16	9	and	and	CCONJ
fcis-15817	16	10	has	have	VERB
fcis-15817	16	11	strong	strong	ADJ
fcis-15817	16	12	robustness	robustness	NOUN
fcis-15817	16	13	,	,	PUNCT
fcis-15817	16	14	which	which	PRON
fcis-15817	16	15	can	can	AUX
fcis-15817	16	16	effectively	effectively	ADV
fcis-15817	16	17	solve	solve	VERB
fcis-15817	16	18	the	the	DET
fcis-15817	16	19	problems	problem	NOUN
fcis-15817	16	20	faced	face	VERB
fcis-15817	16	21	by	by	ADP
fcis-15817	16	22	traditional	traditional	ADJ
fcis-15817	16	23	methods	method	NOUN
fcis-15817	16	24	.	.	PUNCT
fcis-15817	17	1	currently	currently	ADV
fcis-15817	17	2	,	,	PUNCT
fcis-15817	17	3	there	there	PRON
fcis-15817	17	4	are	be	VERB
fcis-15817	17	5	two	two	NUM
fcis-15817	17	6	deep	deep	ADJ
fcis-15817	17	7	learning	learning	NOUN
fcis-15817	17	8	algorithms	algorithm	NOUN
fcis-15817	17	9	for	for	ADP
fcis-15817	17	10	detecting	detect	VERB
fcis-15817	17	11	license	license	NOUN
fcis-15817	17	12	plates	plate	NOUN
fcis-15817	17	13	.	.	PUNCT
fcis-15817	18	1	one	one	NUM
fcis-15817	18	2	is	be	AUX
fcis-15817	18	3	a	a	DET
fcis-15817	18	4	two	two	NUM
fcis-15817	18	5	-	-	PUNCT
fcis-15817	18	6	stage	stage	NOUN
fcis-15817	18	7	detection	detection	NOUN
fcis-15817	18	8	method	method	NOUN
fcis-15817	18	9	represented	represent	VERB
fcis-15817	18	10	by	by	ADP
fcis-15817	18	11	r	r	PROPN
fcis-15817	18	12	-	-	PUNCT
fcis-15817	18	13	cnn	cnn	PROPN
fcis-15817	18	14	,	,	PUNCT
fcis-15817	18	15	spp	spp	NOUN
fcis-15817	18	16	-	-	PUNCT
fcis-15817	18	17	net	net	NOUN
fcis-15817	18	18	,	,	PUNCT
fcis-15817	18	19	fast	fast	ADJ
fcis-15817	18	20	r	r	NOUN
fcis-15817	18	21	-	-	PUNCT
fcis-15817	18	22	cnn	cnn	PROPN
fcis-15817	18	23	and	and	CCONJ
fcis-15817	18	24	faster	fast	ADJ
fcis-15817	18	25	rcnn	rcnn	NOUN
fcis-15817	19	1	[	[	X
fcis-15817	19	2	3–6	3–6	NUM
fcis-15817	19	3	]	]	X
fcis-15817	19	4	.	.	PUNCT
fcis-15817	20	1	these	these	DET
fcis-15817	20	2	methods	method	NOUN
fcis-15817	20	3	first	first	ADV
fcis-15817	20	4	generate	generate	VERB
fcis-15817	20	5	a	a	DET
fcis-15817	20	6	series	series	NOUN
fcis-15817	20	7	of	of	ADP
fcis-15817	20	8	candidate	candidate	NOUN
fcis-15817	20	9	regions	region	NOUN
fcis-15817	20	10	.	.	PUNCT
fcis-15817	21	1	classification	classification	NOUN
fcis-15817	21	2	and	and	CCONJ
fcis-15817	21	3	bounding	bounding	NOUN
fcis-15817	21	4	box	box	NOUN
fcis-15817	21	5	regression	regression	NOUN
fcis-15817	21	6	are	be	AUX
fcis-15817	21	7	then	then	ADV
fcis-15817	21	8	performed	perform	VERB
fcis-15817	21	9	for	for	ADP
fcis-15817	21	10	each	each	DET
fcis-15817	21	11	region	region	NOUN
fcis-15817	21	12	.	.	PUNCT
fcis-15817	22	1	another	another	DET
fcis-15817	22	2	one	one	NUM
fcis-15817	22	3	-	-	PUNCT
fcis-15817	22	4	stage	stage	NOUN
fcis-15817	22	5	detection	detection	NOUN
fcis-15817	22	6	method	method	NOUN
fcis-15817	22	7	includes	include	VERB
fcis-15817	22	8	the	the	DET
fcis-15817	22	9	yolo	yolo	ADJ
fcis-15817	22	10	series	series	PROPN
fcis-15817	22	11	algorithm	algorithm	PROPN
fcis-15817	22	12	and	and	CCONJ
fcis-15817	22	13	the	the	DET
fcis-15817	22	14	ssd	ssd	NOUN
fcis-15817	22	15	[	[	X
fcis-15817	22	16	7	7	NUM
fcis-15817	22	17	]	]	PUNCT
fcis-15817	22	18	algorithm	algorithm	NOUN
fcis-15817	22	19	.	.	PUNCT
fcis-15817	23	1	this	this	DET
fcis-15817	23	2	detection	detection	NOUN
fcis-15817	23	3	method	method	NOUN
fcis-15817	23	4	turns	turn	VERB
fcis-15817	23	5	the	the	DET
fcis-15817	23	6	target	target	NOUN
fcis-15817	23	7	detection	detection	NOUN
fcis-15817	23	8	task	task	NOUN
fcis-15817	23	9	into	into	ADP
fcis-15817	23	10	a	a	DET
fcis-15817	23	11	single	single	ADJ
fcis-15817	23	12	regression	regression	NOUN
fcis-15817	23	13	problem	problem	NOUN
fcis-15817	23	14	and	and	CCONJ
fcis-15817	23	15	directly	directly	ADV
fcis-15817	23	16	predicts	predict	VERB
fcis-15817	23	17	the	the	DET
fcis-15817	23	18	location	location	NOUN
fcis-15817	23	19	and	and	CCONJ
fcis-15817	23	20	category	category	NOUN
fcis-15817	23	21	of	of	ADP
fcis-15817	23	22	the	the	DET
fcis-15817	23	23	target	target	NOUN
fcis-15817	23	24	on	on	ADP
fcis-15817	23	25	the	the	DET
fcis-15817	23	26	image	image	NOUN
fcis-15817	23	27	.	.	PUNCT
fcis-15817	24	1	the	the	DET
fcis-15817	24	2	twostage	twostage	NOUN
fcis-15817	24	3	target	target	NOUN
fcis-15817	24	4	detection	detection	NOUN
fcis-15817	24	5	algorithm	algorithm	NOUN
fcis-15817	24	6	based	base	VERB
fcis-15817	24	7	on	on	ADP
fcis-15817	24	8	candidate	candidate	NOUN
fcis-15817	24	9	region	region	NOUN
fcis-15817	24	10	extraction	extraction	NOUN
fcis-15817	24	11	has	have	VERB
fcis-15817	24	12	high	high	ADJ
fcis-15817	24	13	accuracy	accuracy	NOUN
fcis-15817	24	14	in	in	ADP
fcis-15817	24	15	target	target	NOUN
fcis-15817	24	16	detection	detection	NOUN
fcis-15817	24	17	and	and	CCONJ
fcis-15817	24	18	can	can	AUX
fcis-15817	24	19	achieve	achieve	VERB
fcis-15817	24	20	accurate	accurate	ADJ
fcis-15817	24	21	detection	detection	NOUN
fcis-15817	24	22	of	of	ADP
fcis-15817	24	23	small	small	ADJ
fcis-15817	24	24	targets	target	NOUN
fcis-15817	24	25	and	and	CCONJ
fcis-15817	24	26	overlapping	overlap	VERB
fcis-15817	24	27	targets	target	NOUN
fcis-15817	24	28	.	.	PUNCT
fcis-15817	25	1	however	however	ADV
fcis-15817	25	2	,	,	PUNCT
fcis-15817	25	3	its	its	PRON
fcis-15817	25	4	biggest	big	ADJ
fcis-15817	25	5	disadvantage	disadvantage	NOUN
fcis-15817	25	6	is	be	AUX
fcis-15817	25	7	that	that	SCONJ
fcis-15817	25	8	the	the	DET
fcis-15817	25	9	detection	detection	NOUN
fcis-15817	25	10	efficiency	efficiency	NOUN
fcis-15817	25	11	is	be	AUX
fcis-15817	25	12	low	low	ADJ
fcis-15817	25	13	,	,	PUNCT
fcis-15817	25	14	the	the	DET
fcis-15817	25	15	generation	generation	NOUN
fcis-15817	25	16	of	of	ADP
fcis-15817	25	17	candidate	candidate	NOUN
fcis-15817	25	18	regions	region	NOUN
fcis-15817	25	19	causes	cause	VERB
fcis-15817	25	20	the	the	DET
fcis-15817	25	21	network	network	NOUN
fcis-15817	25	22	feature	feature	NOUN
fcis-15817	25	23	extraction	extraction	NOUN
fcis-15817	25	24	speed	speed	NOUN
fcis-15817	25	25	to	to	PART
fcis-15817	25	26	slow	slow	VERB
fcis-15817	25	27	down	down	ADP
fcis-15817	25	28	,	,	PUNCT
fcis-15817	25	29	and	and	CCONJ
fcis-15817	25	30	the	the	DET
fcis-15817	25	31	training	training	NOUN
fcis-15817	25	32	and	and	CCONJ
fcis-15817	25	33	detection	detection	NOUN
fcis-15817	25	34	time	time	NOUN
fcis-15817	25	35	costs	cost	NOUN
fcis-15817	25	36	are	be	AUX
fcis-15817	25	37	too	too	ADV
fcis-15817	25	38	high	high	ADJ
fcis-15817	25	39	to	to	PART
fcis-15817	25	40	meet	meet	VERB
fcis-15817	25	41	the	the	DET
fcis-15817	25	42	requirements	requirement	NOUN
fcis-15817	25	43	of	of	ADP
fcis-15817	25	44	real	real	ADJ
fcis-15817	25	45	-	-	PUNCT
fcis-15817	25	46	time	time	NOUN
fcis-15817	25	47	detection	detection	NOUN
fcis-15817	25	48	.	.	PUNCT
fcis-15817	26	1	the	the	DET
fcis-15817	26	2	single	single	ADJ
fcis-15817	26	3	-	-	PUNCT
fcis-15817	26	4	stage	stage	NOUN
fcis-15817	26	5	detection	detection	NOUN
fcis-15817	26	6	algorithm	algorithm	NOUN
fcis-15817	26	7	has	have	VERB
fcis-15817	26	8	a	a	DET
fcis-15817	26	9	relatively	relatively	ADV
fcis-15817	26	10	simple	simple	ADJ
fcis-15817	26	11	model	model	NOUN
fcis-15817	26	12	structure	structure	NOUN
fcis-15817	26	13	,	,	PUNCT
fcis-15817	26	14	can	can	AUX
fcis-15817	26	15	perform	perform	VERB
fcis-15817	26	16	real	real	ADJ
fcis-15817	26	17	-	-	PUNCT
fcis-15817	26	18	time	time	NOUN
fcis-15817	26	19	detection	detection	NOUN
fcis-15817	26	20	,	,	PUNCT
fcis-15817	26	21	and	and	CCONJ
fcis-15817	26	22	ensures	ensure	VERB
fcis-15817	26	23	a	a	DET
fcis-15817	26	24	certain	certain	ADJ
fcis-15817	26	25	detection	detection	NOUN
fcis-15817	26	26	accuracy	accuracy	NOUN
fcis-15817	26	27	.	.	PUNCT
fcis-15817	27	1	however	however	ADV
fcis-15817	27	2	,	,	PUNCT
fcis-15817	27	3	the	the	DET
fcis-15817	27	4	existing	exist	VERB
fcis-15817	27	5	yolov5	yolov5	NOUN
fcis-15817	27	6	algorithm	algorithm	NOUN
fcis-15817	27	7	has	have	VERB
fcis-15817	27	8	a	a	DET
fcis-15817	27	9	certain	certain	ADJ
fcis-15817	27	10	depth	depth	NOUN
fcis-15817	27	11	in	in	ADP
fcis-15817	27	12	its	its	PRON
fcis-15817	27	13	model	model	NOUN
fcis-15817	27	14	and	and	CCONJ
fcis-15817	27	15	is	be	AUX
fcis-15817	27	16	difficult	difficult	ADJ
fcis-15817	27	17	to	to	PART
fcis-15817	27	18	complete	complete	VERB
fcis-15817	27	19	feature	feature	NOUN
fcis-15817	27	20	extraction	extraction	NOUN
fcis-15817	27	21	of	of	ADP
fcis-15817	27	22	small	small	ADJ
fcis-15817	27	23	targets	target	NOUN
fcis-15817	27	24	.	.	PUNCT
fcis-15817	28	1	therefore	therefore	ADV
fcis-15817	28	2	,	,	PUNCT
fcis-15817	28	3	it	it	PRON
fcis-15817	28	4	is	be	AUX
fcis-15817	28	5	difficult	difficult	ADJ
fcis-15817	28	6	to	to	PART
fcis-15817	28	7	extract	extract	VERB
fcis-15817	28	8	features	feature	NOUN
fcis-15817	28	9	of	of	ADP
fcis-15817	28	10	small	small	ADJ
fcis-15817	28	11	targets	target	NOUN
fcis-15817	28	12	,	,	PUNCT
fcis-15817	28	13	the	the	DET
fcis-15817	28	14	detection	detection	NOUN
fcis-15817	28	15	effect	effect	NOUN
fcis-15817	28	16	is	be	AUX
fcis-15817	28	17	not	not	PART
fcis-15817	28	18	good	good	ADJ
fcis-15817	28	19	,	,	PUNCT
fcis-15817	28	20	so	so	ADV
fcis-15817	28	21	the	the	DET
fcis-15817	28	22	yolov5	yolov5	NOUN
fcis-15817	28	23	algorithm	algorithm	NOUN
fcis-15817	28	24	needs	need	VERB
fcis-15817	28	25	to	to	PART
fcis-15817	28	26	be	be	AUX
fcis-15817	28	27	optimized	optimize	VERB
fcis-15817	28	28	to	to	ADP
fcis-15817	28	29	some	some	DET
fcis-15817	28	30	extent	extent	NOUN
fcis-15817	28	31	.	.	PUNCT
fcis-15817	29	1	2	2	X
fcis-15817	29	2	.	.	NUM
fcis-15817	29	3	improved	improved	ADJ
fcis-15817	29	4	yolov5	yolov5	NOUN
fcis-15817	29	5	algorithm	algorithm	NOUN
fcis-15817	29	6	the	the	DET
fcis-15817	29	7	yolov5	yolov5	NOUN
fcis-15817	29	8	algorithm	algorithm	NOUN
fcis-15817	29	9	is	be	AUX
fcis-15817	29	10	divided	divide	VERB
fcis-15817	29	11	into	into	ADP
fcis-15817	29	12	four	four	NUM
fcis-15817	29	13	variants	variant	NOUN
fcis-15817	29	14	from	from	ADP
fcis-15817	29	15	front	front	NOUN
fcis-15817	29	16	to	to	ADP
fcis-15817	29	17	deep	deep	ADJ
fcis-15817	29	18	:	:	PUNCT
fcis-15817	29	19	yolov5s	yolov5s	PROPN
fcis-15817	29	20	,	,	PUNCT
fcis-15817	29	21	yolov5	yolov5	PROPN
fcis-15817	29	22	m	m	PROPN
fcis-15817	29	23	,	,	PUNCT
fcis-15817	29	24	yolov5l	yolov5l	PROPN
fcis-15817	29	25	,	,	PUNCT
fcis-15817	29	26	yolov5x	yolov5x	PROPN
fcis-15817	29	27	.	.	PUNCT
fcis-15817	30	1	therefore	therefore	ADV
fcis-15817	30	2	,	,	PUNCT
fcis-15817	30	3	considering	consider	VERB
fcis-15817	30	4	the	the	DET
fcis-15817	30	5	detection	detection	NOUN
fcis-15817	30	6	accuracy	accuracy	NOUN
fcis-15817	30	7	and	and	CCONJ
fcis-15817	30	8	real	real	ADJ
fcis-15817	30	9	-	-	PUNCT
fcis-15817	30	10	time	time	NOUN
fcis-15817	30	11	detection	detection	NOUN
fcis-15817	30	12	requirements	requirement	NOUN
fcis-15817	30	13	,	,	PUNCT
fcis-15817	30	14	the	the	DET
fcis-15817	30	15	yolov5s	yolov5s	PROPN
fcis-15817	30	16	algorithm	algorithm	NOUN
fcis-15817	30	17	was	be	AUX
fcis-15817	30	18	selected	select	VERB
fcis-15817	30	19	as	as	ADP
fcis-15817	30	20	the	the	DET
fcis-15817	30	21	basic	basic	ADJ
fcis-15817	30	22	framework	framework	NOUN
fcis-15817	30	23	of	of	ADP
fcis-15817	30	24	this	this	DET
fcis-15817	30	25	research	research	NOUN
fcis-15817	30	26	.	.	PUNCT
fcis-15817	31	1	the	the	DET
fcis-15817	31	2	basic	basic	ADJ
fcis-15817	31	3	network	network	NOUN
fcis-15817	31	4	structure	structure	NOUN
fcis-15817	31	5	diagram	diagram	NOUN
fcis-15817	31	6	of	of	ADP
fcis-15817	31	7	yolov5s	yolov5s	PROPN
fcis-15817	31	8	algorithm	algorithm	NOUN
fcis-15817	31	9	is	be	AUX
fcis-15817	31	10	as	as	SCONJ
fcis-15817	31	11	follows	follow	VERB
fcis-15817	31	12	:	:	PUNCT
fcis-15817	31	13	figure	figure	NOUN
fcis-15817	31	14	1	1	NUM
fcis-15817	31	15	.	.	PUNCT
fcis-15817	32	1	yolov5	yolov5	NOUN
fcis-15817	32	2	basic	basic	ADJ
fcis-15817	32	3	network	network	NOUN
fcis-15817	32	4	structure	structure	NOUN
fcis-15817	32	5	2.1	2.1	NUM
fcis-15817	32	6	.	.	PUNCT
fcis-15817	33	1	lightweight	lightweight	ADJ
fcis-15817	33	2	network	network	NOUN
fcis-15817	33	3	the	the	DET
fcis-15817	33	4	basic	basic	ADJ
fcis-15817	33	5	convolution	convolution	NOUN
fcis-15817	33	6	module	module	NOUN
fcis-15817	33	7	in	in	ADP
fcis-15817	33	8	yolov5	yolov5	NOUN
fcis-15817	33	9	is	be	AUX
fcis-15817	33	10	c3	c3	PROPN
fcis-15817	33	11	block	block	NOUN
fcis-15817	33	12	,	,	PUNCT
fcis-15817	33	13	which	which	PRON
fcis-15817	33	14	consists	consist	VERB
fcis-15817	33	15	of	of	ADP
fcis-15817	33	16	three	three	NUM
fcis-15817	33	17	conv	conv	ADJ
fcis-15817	33	18	modules	module	NOUN
fcis-15817	33	19	and	and	CCONJ
fcis-15817	33	20	a	a	DET
fcis-15817	33	21	bottleneck	bottleneck	NOUN
fcis-15817	33	22	module	module	NOUN
fcis-15817	33	23	.	.	PUNCT
fcis-15817	34	1	among	among	ADP
fcis-15817	34	2	them	they	PRON
fcis-15817	34	3	,	,	PUNCT
fcis-15817	34	4	the	the	DET
fcis-15817	34	5	conv	conv	NOUN
fcis-15817	34	6	modules	module	NOUN
fcis-15817	34	7	are	be	AUX
fcis-15817	34	8	all	all	PRON
fcis-15817	34	9	1	1	NUM
fcis-15817	34	10	*	*	SYM
fcis-15817	34	11	1	1	NUM
fcis-15817	34	12	97	97	NUM
fcis-15817	34	13	convolutions	convolution	NOUN
fcis-15817	34	14	,	,	PUNCT
fcis-15817	34	15	which	which	PRON
fcis-15817	34	16	play	play	VERB
fcis-15817	34	17	the	the	DET
fcis-15817	34	18	role	role	NOUN
fcis-15817	34	19	of	of	ADP
fcis-15817	34	20	dimensionality	dimensionality	NOUN
fcis-15817	34	21	enhancement	enhancement	NOUN
fcis-15817	34	22	or	or	CCONJ
fcis-15817	34	23	dimensionality	dimensionality	NOUN
fcis-15817	34	24	reduction	reduction	NOUN
fcis-15817	34	25	.	.	PUNCT
fcis-15817	35	1	the	the	DET
fcis-15817	35	2	bottleneck	bottleneck	NOUN
fcis-15817	35	3	module	module	NOUN
fcis-15817	35	4	consists	consist	VERB
fcis-15817	35	5	of	of	ADP
fcis-15817	35	6	a	a	DET
fcis-15817	35	7	1	1	NUM
fcis-15817	35	8	*	*	SYM
fcis-15817	35	9	1	1	NUM
fcis-15817	35	10	convolution	convolution	NOUN
fcis-15817	35	11	and	and	CCONJ
fcis-15817	35	12	a	a	DET
fcis-15817	35	13	3	3	NUM
fcis-15817	35	14	*	*	SYM
fcis-15817	35	15	3	3	NUM
fcis-15817	35	16	convolution	convolution	NOUN
fcis-15817	35	17	.	.	PUNCT
fcis-15817	36	1	the	the	DET
fcis-15817	36	2	first	first	ADJ
fcis-15817	36	3	convolution	convolution	NOUN
fcis-15817	36	4	reduces	reduce	VERB
fcis-15817	36	5	the	the	DET
fcis-15817	36	6	channels	channel	NOUN
fcis-15817	36	7	to	to	ADP
fcis-15817	36	8	half	half	NOUN
fcis-15817	36	9	of	of	ADP
fcis-15817	36	10	the	the	DET
fcis-15817	36	11	original	original	ADJ
fcis-15817	36	12	size	size	NOUN
fcis-15817	36	13	,	,	PUNCT
fcis-15817	36	14	and	and	CCONJ
fcis-15817	36	15	the	the	DET
fcis-15817	36	16	second	second	ADJ
fcis-15817	36	17	convolution	convolution	NOUN
fcis-15817	36	18	doubles	double	VERB
fcis-15817	36	19	the	the	DET
fcis-15817	36	20	number	number	NOUN
fcis-15817	36	21	of	of	ADP
fcis-15817	36	22	channels	channel	NOUN
fcis-15817	36	23	.	.	PUNCT
fcis-15817	37	1	after	after	SCONJ
fcis-15817	37	2	the	the	DET
fcis-15817	37	3	feature	feature	NOUN
fcis-15817	37	4	map	map	NOUN
fcis-15817	37	5	enters	enter	VERB
fcis-15817	37	6	c3	c3	PROPN
fcis-15817	37	7	,	,	PUNCT
fcis-15817	37	8	it	it	PRON
fcis-15817	37	9	will	will	AUX
fcis-15817	37	10	be	be	AUX
fcis-15817	37	11	divided	divide	VERB
fcis-15817	37	12	into	into	ADP
fcis-15817	37	13	two	two	NUM
fcis-15817	37	14	paths	path	NOUN
fcis-15817	37	15	.	.	PUNCT
fcis-15817	38	1	one	one	NUM
fcis-15817	38	2	path	path	NOUN
fcis-15817	38	3	passes	pass	VERB
fcis-15817	38	4	through	through	ADP
fcis-15817	38	5	conv	conv	NOUN
fcis-15817	38	6	and	and	CCONJ
fcis-15817	38	7	a	a	DET
fcis-15817	38	8	bottleneck	bottleneck	NOUN
fcis-15817	38	9	,	,	PUNCT
fcis-15817	38	10	and	and	CCONJ
fcis-15817	38	11	the	the	DET
fcis-15817	38	12	other	other	ADJ
fcis-15817	38	13	path	path	NOUN
fcis-15817	38	14	passes	pass	VERB
fcis-15817	38	15	through	through	ADP
fcis-15817	38	16	a	a	DET
fcis-15817	38	17	conv	conv	NOUN
fcis-15817	38	18	.	.	PUNCT
fcis-15817	39	1	finally	finally	ADV
fcis-15817	39	2	,	,	PUNCT
fcis-15817	39	3	the	the	DET
fcis-15817	39	4	two	two	NUM
fcis-15817	39	5	paths	path	NOUN
fcis-15817	39	6	are	be	AUX
fcis-15817	39	7	processed	process	VERB
fcis-15817	39	8	by	by	ADP
fcis-15817	39	9	concatenating	concatenating	NOUN
fcis-15817	39	10	and	and	CCONJ
fcis-15817	39	11	then	then	ADV
fcis-15817	39	12	input	input	VERB
fcis-15817	39	13	into	into	ADP
fcis-15817	39	14	the	the	DET
fcis-15817	39	15	conv	conv	NOUN
fcis-15817	39	16	module	module	NOUN
fcis-15817	39	17	.	.	PUNCT
fcis-15817	40	1	however	however	ADV
fcis-15817	40	2	,	,	PUNCT
fcis-15817	40	3	for	for	ADP
fcis-15817	40	4	the	the	DET
fcis-15817	40	5	lightweight	lightweight	ADJ
fcis-15817	40	6	needs	need	NOUN
fcis-15817	40	7	of	of	ADP
fcis-15817	40	8	mobile	mobile	ADJ
fcis-15817	40	9	terminals	terminal	NOUN
fcis-15817	40	10	,	,	PUNCT
fcis-15817	40	11	the	the	DET
fcis-15817	40	12	c3	c3	PROPN
fcis-15817	40	13	module	module	NOUN
fcis-15817	40	14	is	be	AUX
fcis-15817	40	15	too	too	ADV
fcis-15817	40	16	bloated	bloated	ADJ
fcis-15817	40	17	.	.	PUNCT
fcis-15817	41	1	in	in	ADP
fcis-15817	41	2	order	order	NOUN
fcis-15817	41	3	to	to	PART
fcis-15817	41	4	achieve	achieve	VERB
fcis-15817	41	5	lightweight	lightweight	ADJ
fcis-15817	41	6	networks	network	NOUN
fcis-15817	41	7	,	,	PUNCT
fcis-15817	41	8	more	more	ADV
fcis-15817	41	9	lightweight	lightweight	ADJ
fcis-15817	41	10	convolutional	convolutional	ADJ
fcis-15817	41	11	networks	network	NOUN
fcis-15817	41	12	have	have	AUX
fcis-15817	41	13	been	be	AUX
fcis-15817	41	14	proposed	propose	VERB
fcis-15817	41	15	,	,	PUNCT
fcis-15817	41	16	such	such	ADJ
fcis-15817	41	17	as	as	ADP
fcis-15817	41	18	mobilenet	mobilenet	NOUN
fcis-15817	41	19	[	[	X
fcis-15817	41	20	8	8	NUM
fcis-15817	41	21	]	]	PUNCT
fcis-15817	41	22	,	,	PUNCT
fcis-15817	41	23	shufflenet	shufflenet	NOUN
fcis-15817	41	24	,	,	PUNCT
fcis-15817	41	25	ghostnet	ghostnet	NOUN
fcis-15817	42	1	[	[	X
fcis-15817	42	2	9	9	NUM
fcis-15817	42	3	]	]	PUNCT
fcis-15817	42	4	,	,	PUNCT
fcis-15817	42	5	etc	etc	X
fcis-15817	42	6	.	.	X
fcis-15817	43	1	these	these	DET
fcis-15817	43	2	networks	network	NOUN
fcis-15817	43	3	introduce	introduce	VERB
fcis-15817	43	4	some	some	DET
fcis-15817	43	5	new	new	ADJ
fcis-15817	43	6	network	network	NOUN
fcis-15817	43	7	design	design	NOUN
fcis-15817	43	8	ideas	idea	NOUN
fcis-15817	43	9	,	,	PUNCT
fcis-15817	43	10	which	which	PRON
fcis-15817	43	11	can	can	AUX
fcis-15817	43	12	maintain	maintain	VERB
fcis-15817	43	13	the	the	DET
fcis-15817	43	14	accuracy	accuracy	NOUN
fcis-15817	43	15	of	of	ADP
fcis-15817	43	16	model	model	NOUN
fcis-15817	43	17	detection	detection	NOUN
fcis-15817	43	18	to	to	ADP
fcis-15817	43	19	the	the	DET
fcis-15817	43	20	greatest	great	ADJ
fcis-15817	43	21	extent	extent	NOUN
fcis-15817	43	22	and	and	CCONJ
fcis-15817	43	23	effectively	effectively	ADV
fcis-15817	43	24	reduce	reduce	VERB
fcis-15817	43	25	the	the	DET
fcis-15817	43	26	parameter	parameter	NOUN
fcis-15817	43	27	amount	amount	NOUN
fcis-15817	43	28	and	and	CCONJ
fcis-15817	43	29	computational	computational	ADJ
fcis-15817	43	30	complexity	complexity	NOUN
fcis-15817	43	31	of	of	ADP
fcis-15817	43	32	the	the	DET
fcis-15817	43	33	model	model	NOUN
fcis-15817	43	34	to	to	ADP
fcis-15817	43	35	a	a	DET
fcis-15817	43	36	certain	certain	ADJ
fcis-15817	43	37	extent	extent	NOUN
fcis-15817	43	38	,	,	PUNCT
fcis-15817	43	39	which	which	PRON
fcis-15817	43	40	is	be	AUX
fcis-15817	43	41	of	of	ADP
fcis-15817	43	42	great	great	ADJ
fcis-15817	43	43	significance	significance	NOUN
fcis-15817	43	44	for	for	ADP
fcis-15817	43	45	the	the	DET
fcis-15817	43	46	deployment	deployment	NOUN
fcis-15817	43	47	of	of	ADP
fcis-15817	43	48	mobile	mobile	ADJ
fcis-15817	43	49	terminals	terminal	NOUN
fcis-15817	43	50	.	.	PUNCT
fcis-15817	44	1	among	among	ADP
fcis-15817	44	2	the	the	DET
fcis-15817	44	3	existing	exist	VERB
fcis-15817	44	4	lightweight	lightweight	ADJ
fcis-15817	44	5	networks	network	NOUN
fcis-15817	44	6	,	,	PUNCT
fcis-15817	44	7	the	the	DET
fcis-15817	44	8	mobilenet	mobilenet	PROPN
fcis-15817	44	9	series	series	PROPN
fcis-15817	44	10	network	network	NOUN
fcis-15817	44	11	and	and	CCONJ
fcis-15817	44	12	the	the	DET
fcis-15817	44	13	shufflenet	shufflenet	PROPN
fcis-15817	44	14	series	series	PROPN
fcis-15817	44	15	network	network	NOUN
fcis-15817	44	16	,	,	PUNCT
fcis-15817	44	17	as	as	ADP
fcis-15817	44	18	the	the	DET
fcis-15817	44	19	most	most	ADV
fcis-15817	44	20	representative	representative	ADJ
fcis-15817	44	21	networks	network	NOUN
fcis-15817	44	22	,	,	PUNCT
fcis-15817	44	23	have	have	VERB
fcis-15817	44	24	a	a	DET
fcis-15817	44	25	significant	significant	ADJ
fcis-15817	44	26	effect	effect	NOUN
fcis-15817	44	27	on	on	ADP
fcis-15817	44	28	reducing	reduce	VERB
fcis-15817	44	29	the	the	DET
fcis-15817	44	30	complexity	complexity	NOUN
fcis-15817	44	31	of	of	ADP
fcis-15817	44	32	the	the	DET
fcis-15817	44	33	network	network	NOUN
fcis-15817	44	34	structure	structure	NOUN
fcis-15817	44	35	.	.	PUNCT
fcis-15817	45	1	mobilenet	mobilenet	NOUN
fcis-15817	45	2	is	be	AUX
fcis-15817	45	3	a	a	DET
fcis-15817	45	4	lightweight	lightweight	ADJ
fcis-15817	45	5	convolutional	convolutional	ADJ
fcis-15817	45	6	neural	neural	ADJ
fcis-15817	45	7	network	network	NOUN
fcis-15817	45	8	proposed	propose	VERB
fcis-15817	45	9	by	by	ADP
fcis-15817	45	10	google	google	PROPN
fcis-15817	45	11	.	.	PUNCT
fcis-15817	46	1	its	its	PRON
fcis-15817	46	2	core	core	ADJ
fcis-15817	46	3	goal	goal	NOUN
fcis-15817	46	4	is	be	AUX
fcis-15817	46	5	to	to	PART
fcis-15817	46	6	reduce	reduce	VERB
fcis-15817	46	7	the	the	DET
fcis-15817	46	8	size	size	NOUN
fcis-15817	46	9	and	and	CCONJ
fcis-15817	46	10	computational	computational	ADJ
fcis-15817	46	11	complexity	complexity	NOUN
fcis-15817	46	12	of	of	ADP
fcis-15817	46	13	the	the	DET
fcis-15817	46	14	model	model	NOUN
fcis-15817	46	15	as	as	ADV
fcis-15817	46	16	much	much	ADV
fcis-15817	46	17	as	as	ADP
fcis-15817	46	18	possible	possible	ADJ
fcis-15817	46	19	while	while	SCONJ
fcis-15817	46	20	maintaining	maintain	VERB
fcis-15817	46	21	model	model	NOUN
fcis-15817	46	22	accuracy	accuracy	NOUN
fcis-15817	46	23	.	.	PUNCT
fcis-15817	47	1	to	to	PART
fcis-15817	47	2	achieve	achieve	VERB
fcis-15817	47	3	this	this	DET
fcis-15817	47	4	goal	goal	NOUN
fcis-15817	47	5	,	,	PUNCT
fcis-15817	47	6	mobilenet	mobilenet	NOUN
fcis-15817	47	7	uses	use	VERB
fcis-15817	47	8	depthwise	depthwise	VERB
fcis-15817	47	9	separable	separable	ADJ
fcis-15817	47	10	convolutional	convolutional	ADJ
fcis-15817	47	11	layers	layer	NOUN
fcis-15817	47	12	,	,	PUNCT
fcis-15817	47	13	which	which	PRON
fcis-15817	47	14	consist	consist	VERB
fcis-15817	47	15	of	of	ADP
fcis-15817	47	16	dw	dw	NOUN
fcis-15817	47	17	convolutional	convolutional	ADJ
fcis-15817	47	18	layers	layer	NOUN
fcis-15817	47	19	and	and	CCONJ
fcis-15817	47	20	pointwise	pointwise	VERB
fcis-15817	47	21	convolutional	convolutional	ADJ
fcis-15817	47	22	layers	layer	NOUN
fcis-15817	47	23	.	.	PUNCT
fcis-15817	48	1	the	the	DET
fcis-15817	48	2	design	design	NOUN
fcis-15817	48	3	idea	idea	NOUN
fcis-15817	48	4	of	of	ADP
fcis-15817	48	5	dw	dw	PROPN
fcis-15817	48	6	separable	separable	PROPN
fcis-15817	48	7	convolution	convolution	NOUN
fcis-15817	48	8	is	be	AUX
fcis-15817	48	9	to	to	PART
fcis-15817	48	10	reduce	reduce	VERB
fcis-15817	48	11	the	the	DET
fcis-15817	48	12	amount	amount	NOUN
fcis-15817	48	13	of	of	ADP
fcis-15817	48	14	calculation	calculation	NOUN
fcis-15817	48	15	and	and	CCONJ
fcis-15817	48	16	model	model	NOUN
fcis-15817	48	17	size	size	NOUN
fcis-15817	48	18	.	.	PUNCT
fcis-15817	49	1	shufflenet	shufflenet	NOUN
fcis-15817	49	2	is	be	AUX
fcis-15817	49	3	a	a	DET
fcis-15817	49	4	lightweight	lightweight	ADJ
fcis-15817	49	5	convolutional	convolutional	ADJ
fcis-15817	49	6	neural	neural	ADJ
fcis-15817	49	7	network	network	NOUN
fcis-15817	49	8	proposed	propose	VERB
fcis-15817	49	9	by	by	ADP
fcis-15817	49	10	stanford	stanford	PROPN
fcis-15817	49	11	university	university	PROPN
fcis-15817	49	12	.	.	PUNCT
fcis-15817	50	1	it	it	PRON
fcis-15817	50	2	uses	use	VERB
fcis-15817	50	3	a	a	DET
fcis-15817	50	4	technique	technique	NOUN
fcis-15817	50	5	called	call	VERB
fcis-15817	50	6	"	"	PUNCT
fcis-15817	50	7	channel	channel	NOUN
fcis-15817	50	8	rearrangement	rearrangement	NOUN
fcis-15817	50	9	"	"	PUNCT
fcis-15817	50	10	and	and	CCONJ
fcis-15817	50	11	a	a	DET
fcis-15817	50	12	special	special	ADJ
fcis-15817	50	13	group	group	NOUN
fcis-15817	50	14	convolution	convolution	NOUN
fcis-15817	50	15	operation	operation	NOUN
fcis-15817	50	16	called	call	VERB
fcis-15817	50	17	"	"	PUNCT
fcis-15817	50	18	channel	channel	NOUN
fcis-15817	50	19	-	-	PUNCT
fcis-15817	50	20	wise	wise	ADJ
fcis-15817	50	21	group	group	NOUN
fcis-15817	50	22	convolution	convolution	NOUN
fcis-15817	50	23	"	"	PUNCT
fcis-15817	50	24	.	.	PUNCT
fcis-15817	51	1	this	this	DET
fcis-15817	51	2	operation	operation	NOUN
fcis-15817	51	3	can	can	AUX
fcis-15817	51	4	reduce	reduce	VERB
fcis-15817	51	5	the	the	DET
fcis-15817	51	6	amount	amount	NOUN
fcis-15817	51	7	of	of	ADP
fcis-15817	51	8	calculation	calculation	NOUN
fcis-15817	51	9	while	while	SCONJ
fcis-15817	51	10	maintaining	maintain	VERB
fcis-15817	51	11	the	the	DET
fcis-15817	51	12	relationship	relationship	NOUN
fcis-15817	51	13	between	between	ADP
fcis-15817	51	14	each	each	DET
fcis-15817	51	15	channel	channel	NOUN
fcis-15817	51	16	.	.	PUNCT
fcis-15817	52	1	different	different	ADJ
fcis-15817	52	2	from	from	ADP
fcis-15817	52	3	mobilenet	mobilenet	NOUN
fcis-15817	52	4	,	,	PUNCT
fcis-15817	52	5	shufflenet	shufflenet	NOUN
fcis-15817	52	6	adopts	adopt	VERB
fcis-15817	52	7	different	different	ADJ
fcis-15817	52	8	design	design	NOUN
fcis-15817	52	9	ideas	idea	NOUN
fcis-15817	52	10	and	and	CCONJ
fcis-15817	52	11	aims	aim	VERB
fcis-15817	52	12	to	to	PART
fcis-15817	52	13	reduce	reduce	VERB
fcis-15817	52	14	the	the	DET
fcis-15817	52	15	amount	amount	NOUN
fcis-15817	52	16	of	of	ADP
fcis-15817	52	17	calculation	calculation	NOUN
fcis-15817	52	18	and	and	CCONJ
fcis-15817	52	19	model	model	NOUN
fcis-15817	52	20	size	size	NOUN
fcis-15817	52	21	.	.	PUNCT
fcis-15817	53	1	figure	figure	NOUN
fcis-15817	53	2	2	2	NUM
fcis-15817	53	3	.	.	PUNCT
fcis-15817	53	4	shuflenet	shuflenet	NOUN
fcis-15817	53	5	block	block	NOUN
fcis-15817	53	6	in	in	ADP
fcis-15817	53	7	this	this	DET
fcis-15817	53	8	study	study	NOUN
fcis-15817	53	9	,	,	PUNCT
fcis-15817	53	10	we	we	PRON
fcis-15817	53	11	chose	choose	VERB
fcis-15817	53	12	to	to	PART
fcis-15817	53	13	use	use	VERB
fcis-15817	53	14	shufflenetv2	shufflenetv2	NOUN
fcis-15817	54	1	[	[	X
fcis-15817	54	2	10	10	NUM
fcis-15817	54	3	]	]	PUNCT
fcis-15817	54	4	as	as	ADP
fcis-15817	54	5	an	an	DET
fcis-15817	54	6	alternative	alternative	NOUN
fcis-15817	54	7	to	to	ADP
fcis-15817	54	8	c3	c3	NOUN
fcis-15817	54	9	block	block	NOUN
fcis-15817	54	10	.	.	PUNCT
fcis-15817	55	1	it	it	PRON
fcis-15817	55	2	not	not	PART
fcis-15817	55	3	only	only	ADV
fcis-15817	55	4	considers	consider	VERB
fcis-15817	55	5	the	the	DET
fcis-15817	55	6	impact	impact	NOUN
fcis-15817	55	7	of	of	ADP
fcis-15817	55	8	computational	computational	ADJ
fcis-15817	55	9	complexity	complexity	NOUN
fcis-15817	55	10	on	on	ADP
fcis-15817	55	11	inference	inference	NOUN
fcis-15817	55	12	speed	speed	NOUN
fcis-15817	55	13	,	,	PUNCT
fcis-15817	55	14	but	but	CCONJ
fcis-15817	55	15	also	also	ADV
fcis-15817	55	16	takes	take	VERB
fcis-15817	55	17	into	into	ADP
fcis-15817	55	18	account	account	NOUN
fcis-15817	55	19	memory	memory	NOUN
fcis-15817	55	20	access	access	NOUN
fcis-15817	55	21	costs	cost	NOUN
fcis-15817	55	22	and	and	CCONJ
fcis-15817	55	23	platform	platform	NOUN
fcis-15817	55	24	characteristics	characteristic	NOUN
fcis-15817	55	25	.	.	PUNCT
fcis-15817	56	1	the	the	DET
fcis-15817	56	2	figure	figure	NOUN
fcis-15817	56	3	below	below	ADV
fcis-15817	56	4	shows	show	VERB
fcis-15817	56	5	the	the	DET
fcis-15817	56	6	basic	basic	ADJ
fcis-15817	56	7	structure	structure	NOUN
fcis-15817	56	8	of	of	ADP
fcis-15817	56	9	the	the	DET
fcis-15817	56	10	shufflenet	shufflenet	NOUN
fcis-15817	56	11	block	block	NOUN
fcis-15817	56	12	used	use	VERB
fcis-15817	56	13	in	in	ADP
fcis-15817	56	14	this	this	DET
fcis-15817	56	15	study	study	NOUN
fcis-15817	56	16	.	.	PUNCT
fcis-15817	57	1	when	when	SCONJ
fcis-15817	57	2	the	the	DET
fcis-15817	57	3	feature	feature	NOUN
fcis-15817	57	4	map	map	NOUN
fcis-15817	57	5	is	be	AUX
fcis-15817	57	6	input	input	NOUN
fcis-15817	57	7	,	,	PUNCT
fcis-15817	57	8	it	it	PRON
fcis-15817	57	9	is	be	AUX
fcis-15817	57	10	divided	divide	VERB
fcis-15817	57	11	into	into	ADP
fcis-15817	57	12	two	two	NUM
fcis-15817	57	13	branches	branch	NOUN
fcis-15817	57	14	.	.	PUNCT
fcis-15817	58	1	one	one	NUM
fcis-15817	58	2	branch	branch	NOUN
fcis-15817	58	3	goes	go	VERB
fcis-15817	58	4	through	through	ADP
fcis-15817	58	5	a	a	DET
fcis-15817	58	6	depth	depth	NOUN
fcis-15817	58	7	convolution	convolution	NOUN
fcis-15817	58	8	and	and	CCONJ
fcis-15817	58	9	a	a	DET
fcis-15817	58	10	1	1	NUM
fcis-15817	58	11	*	*	SYM
fcis-15817	58	12	1	1	NUM
fcis-15817	58	13	convolution	convolution	NOUN
fcis-15817	58	14	,	,	PUNCT
fcis-15817	58	15	and	and	CCONJ
fcis-15817	58	16	the	the	DET
fcis-15817	58	17	other	other	ADJ
fcis-15817	58	18	goes	go	VERB
fcis-15817	58	19	through	through	ADP
fcis-15817	58	20	a	a	DET
fcis-15817	58	21	1	1	NUM
fcis-15817	58	22	*	*	SYM
fcis-15817	58	23	1	1	NUM
fcis-15817	58	24	convolution	convolution	NOUN
fcis-15817	58	25	in	in	ADP
fcis-15817	58	26	turn	turn	NOUN
fcis-15817	58	27	.	.	PUNCT
fcis-15817	59	1	convolution	convolution	NOUN
fcis-15817	59	2	,	,	PUNCT
fcis-15817	59	3	a	a	DET
fcis-15817	59	4	3	3	NUM
fcis-15817	59	5	*	*	SYM
fcis-15817	59	6	3	3	NUM
fcis-15817	59	7	dw	dw	NOUN
fcis-15817	59	8	convolution	convolution	NOUN
fcis-15817	59	9	and	and	CCONJ
fcis-15817	59	10	a	a	DET
fcis-15817	59	11	1	1	NUM
fcis-15817	59	12	*	*	SYM
fcis-15817	59	13	1	1	NUM
fcis-15817	59	14	convolution	convolution	NOUN
fcis-15817	59	15	,	,	PUNCT
fcis-15817	59	16	and	and	CCONJ
fcis-15817	59	17	finally	finally	ADV
fcis-15817	59	18	the	the	DET
fcis-15817	59	19	feature	feature	NOUN
fcis-15817	59	20	maps	map	NOUN
fcis-15817	59	21	of	of	ADP
fcis-15817	59	22	the	the	DET
fcis-15817	59	23	two	two	NUM
fcis-15817	59	24	branches	branch	NOUN
fcis-15817	59	25	are	be	AUX
fcis-15817	59	26	concatenated	concatenate	VERB
fcis-15817	59	27	and	and	CCONJ
fcis-15817	59	28	input	input	VERB
fcis-15817	59	29	into	into	ADP
fcis-15817	59	30	the	the	DET
fcis-15817	59	31	channel	channel	NOUN
fcis-15817	59	32	rearrangement	rearrangement	NOUN
fcis-15817	59	33	structure	structure	NOUN
fcis-15817	59	34	.	.	PUNCT
fcis-15817	60	1	2.2	2.2	NUM
fcis-15817	60	2	.	.	PUNCT
fcis-15817	60	3	activation	activation	NOUN
fcis-15817	60	4	function	function	NOUN
fcis-15817	60	5	in	in	ADP
fcis-15817	60	6	the	the	DET
fcis-15817	60	7	backbone	backbone	NOUN
fcis-15817	60	8	of	of	ADP
fcis-15817	60	9	yolov5	yolov5	NOUN
fcis-15817	60	10	,	,	PUNCT
fcis-15817	60	11	we	we	PRON
fcis-15817	60	12	introduced	introduce	VERB
fcis-15817	60	13	a	a	DET
fcis-15817	60	14	new	new	ADJ
fcis-15817	60	15	nonlinear	nonlinear	ADJ
fcis-15817	60	16	activation	activation	NOUN
fcis-15817	60	17	function	function	NOUN
fcis-15817	60	18	hardswish	hardswish	ADJ
fcis-15817	60	19	.	.	PUNCT
fcis-15817	61	1	it	it	PRON
fcis-15817	61	2	is	be	AUX
fcis-15817	61	3	an	an	DET
fcis-15817	61	4	activation	activation	NOUN
fcis-15817	61	5	function	function	NOUN
fcis-15817	61	6	that	that	PRON
fcis-15817	61	7	is	be	AUX
fcis-15817	61	8	similar	similar	ADJ
fcis-15817	61	9	to	to	ADP
fcis-15817	61	10	the	the	DET
fcis-15817	61	11	swish	swish	ADJ
fcis-15817	61	12	activation	activation	NOUN
fcis-15817	61	13	function	function	NOUN
fcis-15817	61	14	and	and	CCONJ
fcis-15817	61	15	has	have	VERB
fcis-15817	61	16	similar	similar	ADJ
fcis-15817	61	17	performance	performance	NOUN
fcis-15817	61	18	to	to	PART
fcis-15817	61	19	swish	swish	VERB
fcis-15817	61	20	but	but	CCONJ
fcis-15817	61	21	requires	require	VERB
fcis-15817	61	22	less	less	ADJ
fcis-15817	61	23	calculation	calculation	NOUN
fcis-15817	61	24	.	.	PUNCT
fcis-15817	62	1	compared	compare	VERB
fcis-15817	62	2	with	with	ADP
fcis-15817	62	3	other	other	ADJ
fcis-15817	62	4	activation	activation	NOUN
fcis-15817	62	5	functions	function	NOUN
fcis-15817	62	6	,	,	PUNCT
fcis-15817	62	7	such	such	ADJ
fcis-15817	62	8	as	as	ADP
fcis-15817	62	9	relu	relu	NOUN
fcis-15817	62	10	,	,	PUNCT
fcis-15817	62	11	sigmoid	sigmoid	NOUN
fcis-15817	62	12	,	,	PUNCT
fcis-15817	62	13	etc	etc	X
fcis-15817	62	14	.	.	X
fcis-15817	62	15	,	,	PUNCT
fcis-15817	62	16	hardswish	hardswish	PROPN
fcis-15817	62	17	has	have	VERB
fcis-15817	62	18	significant	significant	ADJ
fcis-15817	62	19	improvements	improvement	NOUN
fcis-15817	62	20	in	in	ADP
fcis-15817	62	21	speed	speed	NOUN
fcis-15817	62	22	,	,	PUNCT
fcis-15817	62	23	accuracy	accuracy	NOUN
fcis-15817	62	24	and	and	CCONJ
fcis-15817	62	25	robustness	robustness	NOUN
fcis-15817	62	26	.	.	PUNCT
fcis-15817	63	1	due	due	ADP
fcis-15817	63	2	to	to	ADP
fcis-15817	63	3	its	its	PRON
fcis-15817	63	4	excellent	excellent	ADJ
fcis-15817	63	5	performance	performance	NOUN
fcis-15817	63	6	,	,	PUNCT
fcis-15817	63	7	hardswish	hardswish	ADJ
fcis-15817	63	8	is	be	AUX
fcis-15817	63	9	widely	widely	ADV
fcis-15817	63	10	used	use	VERB
fcis-15817	63	11	in	in	ADP
fcis-15817	63	12	deep	deep	ADJ
fcis-15817	63	13	learning	learning	NOUN
fcis-15817	63	14	models	model	NOUN
fcis-15817	63	15	,	,	PUNCT
fcis-15817	63	16	especially	especially	ADV
fcis-15817	63	17	in	in	ADP
fcis-15817	63	18	scenarios	scenario	NOUN
fcis-15817	63	19	that	that	PRON
fcis-15817	63	20	require	require	VERB
fcis-15817	63	21	processing	process	VERB
fcis-15817	63	22	large	large	ADJ
fcis-15817	63	23	amounts	amount	NOUN
fcis-15817	63	24	of	of	ADP
fcis-15817	63	25	data	datum	NOUN
fcis-15817	63	26	and	and	CCONJ
fcis-15817	63	27	computing	computing	NOUN
fcis-15817	63	28	resources	resource	NOUN
fcis-15817	63	29	.	.	PUNCT
fcis-15817	64	1	for	for	ADP
fcis-15817	64	2	example	example	NOUN
fcis-15817	64	3	,	,	PUNCT
fcis-15817	64	4	in	in	ADP
fcis-15817	64	5	the	the	DET
fcis-15817	64	6	fields	field	NOUN
fcis-15817	64	7	of	of	ADP
fcis-15817	64	8	image	image	NOUN
fcis-15817	64	9	classification	classification	NOUN
fcis-15817	64	10	,	,	PUNCT
fcis-15817	64	11	target	target	NOUN
fcis-15817	64	12	detection	detection	NOUN
fcis-15817	64	13	,	,	PUNCT
fcis-15817	64	14	speech	speech	NOUN
fcis-15817	64	15	recognition	recognition	NOUN
fcis-15817	64	16	and	and	CCONJ
fcis-15817	64	17	other	other	ADJ
fcis-15817	64	18	fields	field	NOUN
fcis-15817	64	19	,	,	PUNCT
fcis-15817	64	20	using	use	VERB
fcis-15817	64	21	hardswish	hardswish	NOUN
fcis-15817	64	22	can	can	AUX
fcis-15817	64	23	effectively	effectively	ADV
fcis-15817	64	24	improve	improve	VERB
fcis-15817	64	25	the	the	DET
fcis-15817	64	26	accuracy	accuracy	NOUN
fcis-15817	64	27	and	and	CCONJ
fcis-15817	64	28	running	run	VERB
fcis-15817	64	29	speed	speed	NOUN
fcis-15817	64	30	of	of	ADP
fcis-15817	64	31	the	the	DET
fcis-15817	64	32	model	model	NOUN
fcis-15817	64	33	.	.	PUNCT
fcis-15817	65	1	the	the	DET
fcis-15817	65	2	formula	formula	NOUN
fcis-15817	65	3	is	be	AUX
fcis-15817	65	4	as	as	SCONJ
fcis-15817	65	5	follows	follow	VERB
fcis-15817	65	6	:	:	PUNCT
fcis-15817	65	7	6	6	NUM
fcis-15817	65	8	0	0	NUM
fcis-15817	65	9	,	,	PUNCT
fcis-15817	65	10	,	,	PUNCT
fcis-15817	65	11	6	6	NUM
fcis-15817	65	12	(	(	PUNCT
fcis-15817	65	13	1	1	NUM
fcis-15817	65	14	)	)	PUNCT
fcis-15817	65	15	(	(	PUNCT
fcis-15817	65	16	2	2	NUM
fcis-15817	65	17	)	)	PUNCT
fcis-15817	65	18	compared	compare	VERB
fcis-15817	65	19	with	with	ADP
fcis-15817	65	20	the	the	DET
fcis-15817	65	21	silu	silu	NOUN
fcis-15817	65	22	(	(	PUNCT
fcis-15817	65	23	)	)	PUNCT
fcis-15817	65	24	activation	activation	NOUN
fcis-15817	65	25	function	function	NOUN
fcis-15817	65	26	used	use	VERB
fcis-15817	65	27	in	in	ADP
fcis-15817	65	28	the	the	DET
fcis-15817	65	29	original	original	ADJ
fcis-15817	65	30	yolov5	yolov5	NOUN
fcis-15817	65	31	,	,	PUNCT
fcis-15817	65	32	hardswish	hardswish	ADJ
fcis-15817	65	33	greatly	greatly	ADV
fcis-15817	65	34	reduces	reduce	VERB
fcis-15817	65	35	computational	computational	ADJ
fcis-15817	65	36	complexity	complexity	NOUN
fcis-15817	65	37	,	,	PUNCT
fcis-15817	65	38	avoids	avoid	VERB
fcis-15817	65	39	power	power	NOUN
fcis-15817	65	40	exponential	exponential	ADJ
fcis-15817	65	41	operations	operation	NOUN
fcis-15817	65	42	,	,	PUNCT
fcis-15817	65	43	improves	improve	VERB
fcis-15817	65	44	inference	inference	NOUN
fcis-15817	65	45	speed	speed	NOUN
fcis-15817	65	46	,	,	PUNCT
fcis-15817	65	47	and	and	CCONJ
fcis-15817	65	48	has	have	VERB
fcis-15817	65	49	less	less	ADJ
fcis-15817	65	50	impact	impact	NOUN
fcis-15817	65	51	on	on	ADP
fcis-15817	65	52	model	model	NOUN
fcis-15817	65	53	detection	detection	NOUN
fcis-15817	65	54	accuracy	accuracy	NOUN
fcis-15817	65	55	.	.	PUNCT
fcis-15817	66	1	2.3	2.3	NUM
fcis-15817	66	2	.	.	PUNCT
fcis-15817	66	3	key	key	ADJ
fcis-15817	66	4	point	point	NOUN
fcis-15817	66	5	detection	detection	NOUN
fcis-15817	66	6	key	key	NOUN
fcis-15817	66	7	point	point	NOUN
fcis-15817	66	8	detection	detection	NOUN
fcis-15817	66	9	is	be	AUX
fcis-15817	66	10	a	a	DET
fcis-15817	66	11	computer	computer	NOUN
fcis-15817	66	12	vision	vision	NOUN
fcis-15817	66	13	technology	technology	NOUN
fcis-15817	66	14	whose	whose	DET
fcis-15817	66	15	purpose	purpose	NOUN
fcis-15817	66	16	is	be	AUX
fcis-15817	66	17	to	to	PART
fcis-15817	66	18	find	find	VERB
fcis-15817	66	19	meaningful	meaningful	ADJ
fcis-15817	66	20	feature	feature	NOUN
fcis-15817	66	21	points	point	NOUN
fcis-15817	66	22	in	in	ADP
fcis-15817	66	23	images	image	NOUN
fcis-15817	66	24	or	or	CCONJ
fcis-15817	66	25	videos	video	NOUN
fcis-15817	66	26	and	and	CCONJ
fcis-15817	66	27	locate	locate	VERB
fcis-15817	66	28	them	they	PRON
fcis-15817	66	29	at	at	ADP
fcis-15817	66	30	each	each	DET
fcis-15817	66	31	feature	feature	NOUN
fcis-15817	66	32	point	point	NOUN
fcis-15817	66	33	.	.	PUNCT
fcis-15817	67	1	these	these	DET
fcis-15817	67	2	feature	feature	NOUN
fcis-15817	67	3	points	point	NOUN
fcis-15817	67	4	are	be	AUX
fcis-15817	67	5	often	often	ADV
fcis-15817	67	6	called	call	VERB
fcis-15817	67	7	key	key	ADJ
fcis-15817	67	8	points	point	NOUN
fcis-15817	67	9	because	because	SCONJ
fcis-15817	67	10	they	they	PRON
fcis-15817	67	11	are	be	AUX
fcis-15817	67	12	unique	unique	ADJ
fcis-15817	67	13	in	in	ADP
fcis-15817	67	14	the	the	DET
fcis-15817	67	15	image	image	NOUN
fcis-15817	67	16	and	and	CCONJ
fcis-15817	67	17	can	can	AUX
fcis-15817	67	18	be	be	AUX
fcis-15817	67	19	used	use	VERB
fcis-15817	67	20	to	to	PART
fcis-15817	67	21	represent	represent	VERB
fcis-15817	67	22	the	the	DET
fcis-15817	67	23	content	content	NOUN
fcis-15817	67	24	or	or	CCONJ
fcis-15817	67	25	shape	shape	NOUN
fcis-15817	67	26	of	of	ADP
fcis-15817	67	27	the	the	DET
fcis-15817	67	28	image	image	NOUN
fcis-15817	67	29	.	.	PUNCT
fcis-15817	68	1	key	key	ADJ
fcis-15817	68	2	point	point	NOUN
fcis-15817	68	3	detection	detection	NOUN
fcis-15817	68	4	has	have	VERB
fcis-15817	68	5	applications	application	NOUN
fcis-15817	68	6	in	in	ADP
fcis-15817	68	7	many	many	ADJ
fcis-15817	68	8	fields	field	NOUN
fcis-15817	68	9	,	,	PUNCT
fcis-15817	68	10	including	include	VERB
fcis-15817	68	11	face	face	NOUN
fcis-15817	68	12	recognition	recognition	NOUN
fcis-15817	68	13	,	,	PUNCT
fcis-15817	68	14	gesture	gesture	NOUN
fcis-15817	68	15	recognition	recognition	NOUN
fcis-15817	68	16	,	,	PUNCT
fcis-15817	68	17	robot	robot	NOUN
fcis-15817	68	18	navigation	navigation	NOUN
fcis-15817	68	19	,	,	PUNCT
fcis-15817	68	20	image	image	NOUN
fcis-15817	68	21	stitching	stitching	NOUN
fcis-15817	68	22	,	,	PUNCT
fcis-15817	68	23	and	and	CCONJ
fcis-15817	68	24	video	video	NOUN
fcis-15817	68	25	analysis	analysis	NOUN
fcis-15817	68	26	.	.	PUNCT
fcis-15817	69	1	in	in	ADP
fcis-15817	69	2	the	the	DET
fcis-15817	69	3	license	license	NOUN
fcis-15817	69	4	plate	plate	NOUN
fcis-15817	69	5	detection	detection	NOUN
fcis-15817	69	6	,	,	PUNCT
fcis-15817	69	7	the	the	DET
fcis-15817	69	8	four	four	NUM
fcis-15817	69	9	corner	corner	NOUN
fcis-15817	69	10	points	point	NOUN
fcis-15817	69	11	of	of	ADP
fcis-15817	69	12	the	the	DET
fcis-15817	69	13	license	license	NOUN
fcis-15817	69	14	plate	plate	NOUN
fcis-15817	69	15	are	be	AUX
fcis-15817	69	16	added	add	VERB
fcis-15817	69	17	as	as	ADP
fcis-15817	69	18	key	key	ADJ
fcis-15817	69	19	points	point	NOUN
fcis-15817	69	20	,	,	PUNCT
fcis-15817	69	21	and	and	CCONJ
fcis-15817	69	22	perspective	perspective	NOUN
fcis-15817	69	23	transformation	transformation	NOUN
fcis-15817	69	24	is	be	AUX
fcis-15817	69	25	used	use	VERB
fcis-15817	69	26	to	to	PART
fcis-15817	69	27	restore	restore	VERB
fcis-15817	69	28	the	the	DET
fcis-15817	69	29	visually	visually	ADV
fcis-15817	69	30	deformed	deform	VERB
fcis-15817	69	31	quadrilateral	quadrilateral	ADJ
fcis-15817	69	32	license	license	NOUN
fcis-15817	69	33	plate	plate	NOUN
fcis-15817	69	34	image	image	NOUN
fcis-15817	69	35	captured	capture	VERB
fcis-15817	69	36	by	by	ADP
fcis-15817	69	37	the	the	DET
fcis-15817	69	38	camera	camera	NOUN
fcis-15817	69	39	into	into	ADP
fcis-15817	69	40	a	a	DET
fcis-15817	69	41	rectangle	rectangle	NOUN
fcis-15817	69	42	,	,	PUNCT
fcis-15817	69	43	which	which	PRON
fcis-15817	69	44	is	be	AUX
fcis-15817	69	45	more	more	ADV
fcis-15817	69	46	conducive	conducive	ADJ
fcis-15817	69	47	to	to	ADP
fcis-15817	69	48	accurate	accurate	ADJ
fcis-15817	69	49	recognition	recognition	NOUN
fcis-15817	69	50	of	of	ADP
fcis-15817	69	51	the	the	DET
fcis-15817	69	52	license	license	NOUN
fcis-15817	69	53	plate	plate	NOUN
fcis-15817	69	54	number	number	NOUN
fcis-15817	69	55	.	.	PUNCT
fcis-15817	70	1	perspective	perspective	NOUN
fcis-15817	70	2	transformation	transformation	NOUN
fcis-15817	70	3	refers	refer	VERB
fcis-15817	70	4	to	to	ADP
fcis-15817	70	5	the	the	DET
fcis-15817	70	6	use	use	NOUN
fcis-15817	70	7	of	of	ADP
fcis-15817	70	8	the	the	DET
fcis-15817	70	9	collinear	collinear	ADJ
fcis-15817	70	10	condition	condition	NOUN
fcis-15817	70	11	of	of	ADP
fcis-15817	70	12	the	the	DET
fcis-15817	70	13	perspective	perspective	ADJ
fcis-15817	70	14	center	center	NOUN
fcis-15817	70	15	,	,	PUNCT
fcis-15817	70	16	image	image	NOUN
fcis-15817	70	17	point	point	NOUN
fcis-15817	70	18	,	,	PUNCT
fcis-15817	70	19	and	and	CCONJ
fcis-15817	70	20	target	target	NOUN
fcis-15817	70	21	point	point	NOUN
fcis-15817	70	22	to	to	PART
fcis-15817	70	23	rotate	rotate	VERB
fcis-15817	70	24	the	the	DET
fcis-15817	70	25	image	image	NOUN
fcis-15817	70	26	-	-	PUNCT
fcis-15817	70	27	bearing	bear	VERB
fcis-15817	70	28	surface	surface	NOUN
fcis-15817	70	29	(	(	PUNCT
fcis-15817	70	30	perspective	perspective	NOUN
fcis-15817	70	31	surface	surface	NOUN
fcis-15817	70	32	)	)	PUNCT
fcis-15817	70	33	at	at	ADP
fcis-15817	70	34	a	a	DET
fcis-15817	70	35	certain	certain	ADJ
fcis-15817	70	36	angle	angle	NOUN
fcis-15817	70	37	around	around	ADP
fcis-15817	70	38	the	the	DET
fcis-15817	70	39	trace	trace	NOUN
fcis-15817	70	40	(	(	PUNCT
fcis-15817	70	41	perspective	perspective	NOUN
fcis-15817	70	42	axis	axis	NOUN
fcis-15817	70	43	)	)	PUNCT
fcis-15817	70	44	according	accord	VERB
fcis-15817	70	45	to	to	ADP
fcis-15817	70	46	the	the	DET
fcis-15817	70	47	perspective	perspective	ADJ
fcis-15817	70	48	rotation	rotation	NOUN
fcis-15817	70	49	law	law	NOUN
fcis-15817	70	50	,	,	PUNCT
fcis-15817	70	51	destroying	destroy	VERB
fcis-15817	70	52	the	the	DET
fcis-15817	70	53	original	original	ADJ
fcis-15817	70	54	projection	projection	NOUN
fcis-15817	70	55	light	light	NOUN
fcis-15817	70	56	the	the	DET
fcis-15817	70	57	wire	wire	NOUN
fcis-15817	70	58	harness	harness	NOUN
fcis-15817	70	59	can	can	AUX
fcis-15817	70	60	still	still	ADV
fcis-15817	70	61	maintain	maintain	VERB
fcis-15817	70	62	the	the	DET
fcis-15817	70	63	same	same	ADJ
fcis-15817	70	64	transformation	transformation	NOUN
fcis-15817	70	65	of	of	ADP
fcis-15817	70	66	the	the	DET
fcis-15817	70	67	projected	project	VERB
fcis-15817	70	68	geometry	geometry	NOUN
fcis-15817	70	69	on	on	ADP
fcis-15817	70	70	the	the	DET
fcis-15817	70	71	shadow	shadow	NOUN
fcis-15817	70	72	surface	surface	NOUN
fcis-15817	70	73	.	.	PUNCT
fcis-15817	71	1	the	the	DET
fcis-15817	71	2	picture	picture	NOUN
fcis-15817	71	3	below	below	ADV
fcis-15817	71	4	shows	show	VERB
fcis-15817	71	5	the	the	DET
fcis-15817	71	6	renderings	rendering	NOUN
fcis-15817	71	7	before	before	ADP
fcis-15817	71	8	and	and	CCONJ
fcis-15817	71	9	after	after	ADP
fcis-15817	71	10	perspective	perspective	NOUN
fcis-15817	71	11	transformation	transformation	NOUN
fcis-15817	71	12	.	.	PUNCT
fcis-15817	72	1	figure	figure	NOUN
fcis-15817	72	2	3	3	NUM
fcis-15817	72	3	.	.	NOUN
fcis-15817	72	4	perspective	perspective	ADJ
fcis-15817	72	5	transformation	transformation	NOUN
fcis-15817	72	6	98	98	NUM
fcis-15817	72	7	by	by	ADP
fcis-15817	72	8	converting	convert	VERB
fcis-15817	72	9	the	the	DET
fcis-15817	72	10	irregular	irregular	ADJ
fcis-15817	72	11	quadrilateral	quadrilateral	ADJ
fcis-15817	72	12	license	license	NOUN
fcis-15817	72	13	plate	plate	NOUN
fcis-15817	72	14	image	image	NOUN
fcis-15817	72	15	into	into	ADP
fcis-15817	72	16	a	a	DET
fcis-15817	72	17	rectangular	rectangular	ADJ
fcis-15817	72	18	license	license	NOUN
fcis-15817	72	19	plate	plate	NOUN
fcis-15817	72	20	image	image	NOUN
fcis-15817	72	21	,	,	PUNCT
fcis-15817	72	22	the	the	DET
fcis-15817	72	23	deformed	deform	VERB
fcis-15817	72	24	license	license	NOUN
fcis-15817	72	25	plate	plate	NOUN
fcis-15817	72	26	number	number	NOUN
fcis-15817	72	27	on	on	ADP
fcis-15817	72	28	the	the	DET
fcis-15817	72	29	license	license	NOUN
fcis-15817	72	30	plate	plate	NOUN
fcis-15817	72	31	will	will	AUX
fcis-15817	72	32	also	also	ADV
fcis-15817	72	33	be	be	AUX
fcis-15817	72	34	corrected	correct	VERB
fcis-15817	72	35	,	,	PUNCT
fcis-15817	72	36	which	which	PRON
fcis-15817	72	37	is	be	AUX
fcis-15817	72	38	more	more	ADV
fcis-15817	72	39	conducive	conducive	ADJ
fcis-15817	72	40	to	to	ADP
fcis-15817	72	41	improving	improve	VERB
fcis-15817	72	42	the	the	DET
fcis-15817	72	43	accuracy	accuracy	NOUN
fcis-15817	72	44	of	of	ADP
fcis-15817	72	45	license	license	NOUN
fcis-15817	72	46	plate	plate	NOUN
fcis-15817	72	47	number	number	NOUN
fcis-15817	72	48	recognition	recognition	NOUN
fcis-15817	72	49	.	.	PUNCT
fcis-15817	73	1	2.4	2.4	NUM
fcis-15817	73	2	.	.	PUNCT
fcis-15817	74	1	license	license	NOUN
fcis-15817	74	2	plate	plate	NOUN
fcis-15817	74	3	number	number	NOUN
fcis-15817	74	4	recognition	recognition	NOUN
fcis-15817	74	5	after	after	ADP
fcis-15817	74	6	detecting	detect	VERB
fcis-15817	74	7	the	the	DET
fcis-15817	74	8	license	license	NOUN
fcis-15817	74	9	plate	plate	NOUN
fcis-15817	74	10	,	,	PUNCT
fcis-15817	74	11	the	the	DET
fcis-15817	74	12	license	license	NOUN
fcis-15817	74	13	plate	plate	NOUN
fcis-15817	74	14	image	image	NOUN
fcis-15817	74	15	needs	need	VERB
fcis-15817	74	16	to	to	PART
fcis-15817	74	17	be	be	AUX
fcis-15817	74	18	input	input	VERB
fcis-15817	74	19	into	into	ADP
fcis-15817	74	20	the	the	DET
fcis-15817	74	21	ocr	ocr	ADJ
fcis-15817	74	22	model	model	NOUN
fcis-15817	74	23	to	to	PART
fcis-15817	74	24	identify	identify	VERB
fcis-15817	74	25	the	the	DET
fcis-15817	74	26	license	license	NOUN
fcis-15817	74	27	plate	plate	NOUN
fcis-15817	74	28	number	number	NOUN
fcis-15817	74	29	.	.	PUNCT
fcis-15817	75	1	in	in	ADP
fcis-15817	75	2	this	this	DET
fcis-15817	75	3	part	part	NOUN
fcis-15817	75	4	,	,	PUNCT
fcis-15817	75	5	we	we	PRON
fcis-15817	75	6	selected	select	VERB
fcis-15817	75	7	the	the	DET
fcis-15817	75	8	crnn	crnn	NOUN
fcis-15817	76	1	[	[	X
fcis-15817	76	2	11	11	NUM
fcis-15817	76	3	]	]	PUNCT
fcis-15817	76	4	(	(	PUNCT
fcis-15817	76	5	convolutional	convolutional	ADJ
fcis-15817	76	6	recurrent	recurrent	ADJ
fcis-15817	76	7	neural	neural	ADJ
fcis-15817	76	8	network	network	NOUN
fcis-15817	76	9	)	)	PUNCT
fcis-15817	76	10	algorithm	algorithm	NOUN
fcis-15817	76	11	.	.	PUNCT
fcis-15817	77	1	crnn	crnn	NOUN
fcis-15817	77	2	is	be	AUX
fcis-15817	77	3	a	a	DET
fcis-15817	77	4	convolutional	convolutional	ADJ
fcis-15817	77	5	recurrent	recurrent	ADJ
fcis-15817	77	6	neural	neural	ADJ
fcis-15817	77	7	network	network	NOUN
fcis-15817	77	8	structure	structure	NOUN
fcis-15817	77	9	used	use	VERB
fcis-15817	77	10	to	to	PART
fcis-15817	77	11	solve	solve	VERB
fcis-15817	77	12	problems	problem	NOUN
fcis-15817	77	13	based	base	VERB
fcis-15817	77	14	on	on	ADP
fcis-15817	77	15	image	image	NOUN
fcis-15817	77	16	sequence	sequence	NOUN
fcis-15817	77	17	recognition	recognition	NOUN
fcis-15817	77	18	problem	problem	NOUN
fcis-15817	77	19	,	,	PUNCT
fcis-15817	77	20	especially	especially	ADV
fcis-15817	77	21	scene	scene	VERB
fcis-15817	77	22	text	text	NOUN
fcis-15817	77	23	recognition	recognition	NOUN
fcis-15817	77	24	problem	problem	NOUN
fcis-15817	77	25	.	.	PUNCT
fcis-15817	78	1	crnn	crnn	NOUN
fcis-15817	78	2	is	be	AUX
fcis-15817	78	3	mainly	mainly	ADV
fcis-15817	78	4	used	use	VERB
fcis-15817	78	5	to	to	PART
fcis-15817	78	6	recognize	recognize	VERB
fcis-15817	78	7	text	text	NOUN
fcis-15817	78	8	sequences	sequence	NOUN
fcis-15817	78	9	of	of	ADP
fcis-15817	78	10	variable	variable	ADJ
fcis-15817	78	11	length	length	NOUN
fcis-15817	78	12	end	end	NOUN
fcis-15817	78	13	-	-	PUNCT
fcis-15817	78	14	to	to	ADP
fcis-15817	78	15	-	-	PUNCT
fcis-15817	78	16	end	end	NOUN
fcis-15817	78	17	.	.	PUNCT
fcis-15817	79	1	it	it	PRON
fcis-15817	79	2	does	do	AUX
fcis-15817	79	3	not	not	PART
fcis-15817	79	4	need	need	VERB
fcis-15817	79	5	to	to	PART
fcis-15817	79	6	cut	cut	VERB
fcis-15817	79	7	individual	individual	ADJ
fcis-15817	79	8	words	word	NOUN
fcis-15817	79	9	first	first	ADV
fcis-15817	79	10	,	,	PUNCT
fcis-15817	79	11	but	but	CCONJ
fcis-15817	79	12	transforms	transform	VERB
fcis-15817	79	13	text	text	NOUN
fcis-15817	79	14	recognition	recognition	NOUN
fcis-15817	79	15	into	into	ADP
fcis-15817	79	16	a	a	DET
fcis-15817	79	17	time	time	NOUN
fcis-15817	79	18	-	-	PUNCT
fcis-15817	79	19	series	series	NOUN
fcis-15817	79	20	-	-	PUNCT
fcis-15817	79	21	dependent	dependent	ADJ
fcis-15817	79	22	sequence	sequence	NOUN
fcis-15817	79	23	learning	learning	NOUN
fcis-15817	79	24	problem	problem	NOUN
fcis-15817	79	25	,	,	PUNCT
fcis-15817	79	26	that	that	ADV
fcis-15817	79	27	is	is	ADV
fcis-15817	79	28	,	,	PUNCT
fcis-15817	79	29	image	image	NOUN
fcis-15817	79	30	-	-	PUNCT
fcis-15817	79	31	based	base	VERB
fcis-15817	79	32	sequence	sequence	NOUN
fcis-15817	79	33	recognition	recognition	NOUN
fcis-15817	79	34	.	.	PUNCT
fcis-15817	80	1	the	the	DET
fcis-15817	80	2	structure	structure	NOUN
fcis-15817	80	3	of	of	ADP
fcis-15817	80	4	crnn	crnn	NOUN
fcis-15817	80	5	mainly	mainly	ADV
fcis-15817	80	6	consists	consist	VERB
fcis-15817	80	7	of	of	ADP
fcis-15817	80	8	convolutional	convolutional	ADJ
fcis-15817	80	9	layer	layer	NOUN
fcis-15817	80	10	,	,	PUNCT
fcis-15817	80	11	recurrent	recurrent	ADJ
fcis-15817	80	12	layer	layer	NOUN
fcis-15817	80	13	and	and	CCONJ
fcis-15817	80	14	transcription	transcription	NOUN
fcis-15817	80	15	layer	layer	NOUN
fcis-15817	80	16	.	.	PUNCT
fcis-15817	81	1	first	first	ADV
fcis-15817	81	2	,	,	PUNCT
fcis-15817	81	3	the	the	DET
fcis-15817	81	4	feature	feature	NOUN
fcis-15817	81	5	sequence	sequence	NOUN
fcis-15817	81	6	is	be	AUX
fcis-15817	81	7	extracted	extract	VERB
fcis-15817	81	8	from	from	ADP
fcis-15817	81	9	the	the	DET
fcis-15817	81	10	input	input	NOUN
fcis-15817	81	11	image	image	NOUN
fcis-15817	81	12	through	through	ADP
fcis-15817	81	13	the	the	DET
fcis-15817	81	14	convolutional	convolutional	ADJ
fcis-15817	81	15	layer	layer	NOUN
fcis-15817	81	16	;	;	PUNCT
fcis-15817	81	17	then	then	ADV
fcis-15817	81	18	,	,	PUNCT
fcis-15817	81	19	the	the	DET
fcis-15817	81	20	recurrent	recurrent	ADJ
fcis-15817	81	21	layer	layer	NOUN
fcis-15817	81	22	predicts	predict	VERB
fcis-15817	81	23	the	the	DET
fcis-15817	81	24	label	label	NOUN
fcis-15817	81	25	distribution	distribution	NOUN
fcis-15817	81	26	of	of	ADP
fcis-15817	81	27	the	the	DET
fcis-15817	81	28	data	datum	NOUN
fcis-15817	81	29	set	set	VERB
fcis-15817	81	30	;	;	PUNCT
fcis-15817	81	31	finally	finally	ADV
fcis-15817	81	32	,	,	PUNCT
fcis-15817	81	33	the	the	DET
fcis-15817	81	34	transcription	transcription	NOUN
fcis-15817	81	35	layer	layer	NOUN
fcis-15817	81	36	transcribes	transcribe	VERB
fcis-15817	81	37	the	the	DET
fcis-15817	81	38	prediction	prediction	NOUN
fcis-15817	81	39	results	result	NOUN
fcis-15817	81	40	of	of	ADP
fcis-15817	81	41	each	each	DET
fcis-15817	81	42	picture	picture	NOUN
fcis-15817	81	43	of	of	ADP
fcis-15817	81	44	the	the	DET
fcis-15817	81	45	recurrent	recurrent	ADJ
fcis-15817	81	46	layer	layer	NOUN
fcis-15817	81	47	into	into	ADP
fcis-15817	81	48	the	the	DET
fcis-15817	81	49	final	final	ADJ
fcis-15817	81	50	label	label	NOUN
fcis-15817	81	51	sequence	sequence	NOUN
fcis-15817	81	52	.	.	PUNCT
fcis-15817	82	1	during	during	ADP
fcis-15817	82	2	the	the	DET
fcis-15817	82	3	training	training	NOUN
fcis-15817	82	4	process	process	NOUN
fcis-15817	82	5	,	,	PUNCT
fcis-15817	82	6	crnn	crnn	PROPN
fcis-15817	82	7	adopts	adopt	VERB
fcis-15817	82	8	the	the	DET
fcis-15817	82	9	connectionist	connectionist	ADJ
fcis-15817	82	10	temporal	temporal	ADJ
fcis-15817	82	11	classification	classification	NOUN
fcis-15817	82	12	(	(	PUNCT
fcis-15817	82	13	ctc	ctc	NOUN
fcis-15817	82	14	)	)	PUNCT
fcis-15817	83	1	[	[	X
fcis-15817	83	2	12	12	NUM
fcis-15817	83	3	]	]	PUNCT
fcis-15817	83	4	loss	loss	NOUN
fcis-15817	83	5	function	function	NOUN
fcis-15817	83	6	to	to	PART
fcis-15817	83	7	achieve	achieve	VERB
fcis-15817	83	8	sequence	sequence	NOUN
fcis-15817	83	9	learning	learn	VERB
fcis-15817	83	10	without	without	ADP
fcis-15817	83	11	alignment	alignment	NOUN
fcis-15817	83	12	.	.	PUNCT
fcis-15817	84	1	crnn	crnn	NOUN
fcis-15817	84	2	performs	perform	VERB
fcis-15817	84	3	well	well	ADV
fcis-15817	84	4	in	in	ADP
fcis-15817	84	5	text	text	NOUN
fcis-15817	84	6	recognition	recognition	NOUN
fcis-15817	84	7	tasks	task	NOUN
fcis-15817	84	8	,	,	PUNCT
fcis-15817	84	9	with	with	ADP
fcis-15817	84	10	high	high	ADJ
fcis-15817	84	11	recognition	recognition	NOUN
fcis-15817	84	12	accuracy	accuracy	NOUN
fcis-15817	84	13	and	and	CCONJ
fcis-15817	84	14	strong	strong	ADJ
fcis-15817	84	15	robustness	robustness	NOUN
fcis-15817	84	16	.	.	PUNCT
fcis-15817	85	1	3	3	X
fcis-15817	85	2	.	.	X
fcis-15817	85	3	performance	performance	NOUN
fcis-15817	85	4	evaluation	evaluation	NOUN
fcis-15817	85	5	3.1	3.1	NUM
fcis-15817	85	6	.	.	PUNCT
fcis-15817	85	7	dataset	dataset	VERB
fcis-15817	85	8	the	the	DET
fcis-15817	85	9	data	datum	NOUN
fcis-15817	85	10	set	set	VERB
fcis-15817	85	11	used	use	VERB
fcis-15817	85	12	in	in	ADP
fcis-15817	85	13	this	this	DET
fcis-15817	85	14	study	study	NOUN
fcis-15817	85	15	is	be	AUX
fcis-15817	85	16	the	the	DET
fcis-15817	85	17	ccpd	ccpd	ADJ
fcis-15817	85	18	data	datum	NOUN
fcis-15817	85	19	set	set	VERB
fcis-15817	85	20	.	.	PUNCT
fcis-15817	86	1	the	the	DET
fcis-15817	86	2	ccpd	ccpd	PROPN
fcis-15817	86	3	data	datum	NOUN
fcis-15817	86	4	set	set	VERB
fcis-15817	86	5	is	be	AUX
fcis-15817	86	6	a	a	DET
fcis-15817	86	7	benchmark	benchmark	ADJ
fcis-15817	86	8	data	datum	NOUN
fcis-15817	86	9	set	set	VERB
fcis-15817	86	10	for	for	ADP
fcis-15817	86	11	license	license	NOUN
fcis-15817	86	12	plate	plate	NOUN
fcis-15817	86	13	recognition	recognition	NOUN
fcis-15817	86	14	.	.	PUNCT
fcis-15817	87	1	it	it	PRON
fcis-15817	87	2	contains	contain	VERB
fcis-15817	87	3	various	various	ADJ
fcis-15817	87	4	license	license	NOUN
fcis-15817	87	5	plate	plate	NOUN
fcis-15817	87	6	images	image	NOUN
fcis-15817	87	7	from	from	ADP
fcis-15817	87	8	mainland	mainland	NOUN
fcis-15817	87	9	china	china	PROPN
fcis-15817	87	10	,	,	PUNCT
fcis-15817	87	11	including	include	VERB
fcis-15817	87	12	ordinary	ordinary	ADJ
fcis-15817	87	13	license	license	NOUN
fcis-15817	87	14	plates	plate	NOUN
fcis-15817	87	15	,	,	PUNCT
fcis-15817	87	16	new	new	ADJ
fcis-15817	87	17	energy	energy	NOUN
fcis-15817	87	18	license	license	NOUN
fcis-15817	87	19	plates	plate	NOUN
fcis-15817	87	20	,	,	PUNCT
fcis-15817	87	21	armed	armed	ADJ
fcis-15817	87	22	police	police	NOUN
fcis-15817	87	23	license	license	NOUN
fcis-15817	87	24	plates	plate	NOUN
fcis-15817	87	25	,	,	PUNCT
fcis-15817	87	26	embassy	embassy	NOUN
fcis-15817	87	27	license	license	NOUN
fcis-15817	87	28	plates	plate	NOUN
fcis-15817	87	29	,	,	PUNCT
fcis-15817	87	30	etc	etc	X
fcis-15817	87	31	.	.	X
fcis-15817	88	1	the	the	DET
fcis-15817	88	2	purpose	purpose	NOUN
fcis-15817	88	3	of	of	ADP
fcis-15817	88	4	this	this	DET
fcis-15817	88	5	dataset	dataset	NOUN
fcis-15817	88	6	is	be	AUX
fcis-15817	88	7	to	to	PART
fcis-15817	88	8	provide	provide	VERB
fcis-15817	88	9	a	a	DET
fcis-15817	88	10	standard	standard	ADJ
fcis-15817	88	11	testing	testing	NOUN
fcis-15817	88	12	platform	platform	NOUN
fcis-15817	88	13	so	so	SCONJ
fcis-15817	88	14	that	that	SCONJ
fcis-15817	88	15	researchers	researcher	NOUN
fcis-15817	88	16	can	can	AUX
fcis-15817	88	17	compare	compare	VERB
fcis-15817	88	18	and	and	CCONJ
fcis-15817	88	19	evaluate	evaluate	VERB
fcis-15817	88	20	different	different	ADJ
fcis-15817	88	21	license	license	NOUN
fcis-15817	88	22	plate	plate	NOUN
fcis-15817	88	23	recognition	recognition	NOUN
fcis-15817	88	24	algorithms	algorithm	NOUN
fcis-15817	88	25	on	on	ADP
fcis-15817	88	26	the	the	DET
fcis-15817	88	27	same	same	ADJ
fcis-15817	88	28	dataset	dataset	NOUN
fcis-15817	88	29	.	.	PUNCT
fcis-15817	89	1	in	in	ADP
fcis-15817	89	2	this	this	DET
fcis-15817	89	3	experiment	experiment	NOUN
fcis-15817	89	4	,	,	PUNCT
fcis-15817	89	5	all	all	DET
fcis-15817	89	6	images	image	NOUN
fcis-15817	89	7	in	in	ADP
fcis-15817	89	8	the	the	DET
fcis-15817	89	9	data	data	NOUN
fcis-15817	89	10	set	set	VERB
fcis-15817	89	11	were	be	AUX
fcis-15817	89	12	divided	divide	VERB
fcis-15817	89	13	into	into	ADP
fcis-15817	89	14	training	training	NOUN
fcis-15817	89	15	sets	set	NOUN
fcis-15817	89	16	and	and	CCONJ
fcis-15817	89	17	validation	validation	NOUN
fcis-15817	89	18	sets	set	NOUN
fcis-15817	89	19	at	at	ADP
fcis-15817	89	20	a	a	DET
fcis-15817	89	21	ratio	ratio	NOUN
fcis-15817	89	22	of	of	ADP
fcis-15817	89	23	9:1	9:1	NUM
fcis-15817	89	24	.	.	PUNCT
fcis-15817	90	1	3.2	3.2	NUM
fcis-15817	90	2	.	.	PUNCT
fcis-15817	91	1	experiment	experiment	NOUN
fcis-15817	91	2	environment	environment	NOUN
fcis-15817	91	3	the	the	DET
fcis-15817	91	4	experiment	experiment	NOUN
fcis-15817	91	5	runs	run	VERB
fcis-15817	91	6	on	on	ADP
fcis-15817	91	7	the	the	DET
fcis-15817	91	8	ubuntu20.04lts	ubuntu20.04lts	PROPN
fcis-15817	91	9	operating	operating	NOUN
fcis-15817	91	10	system	system	NOUN
fcis-15817	91	11	,	,	PUNCT
fcis-15817	91	12	using	use	VERB
fcis-15817	91	13	the	the	DET
fcis-15817	91	14	pytorch	pytorch	NOUN
fcis-15817	91	15	deep	deep	ADJ
fcis-15817	91	16	learning	learn	VERB
fcis-15817	91	17	library	library	NOUN
fcis-15817	91	18	,	,	PUNCT
fcis-15817	91	19	and	and	CCONJ
fcis-15817	91	20	the	the	DET
fcis-15817	91	21	python	python	NOUN
fcis-15817	91	22	version	version	NOUN
fcis-15817	91	23	is	be	AUX
fcis-15817	91	24	3.8	3.8	NUM
fcis-15817	91	25	.	.	PUNCT
fcis-15817	92	1	in	in	ADP
fcis-15817	92	2	terms	term	NOUN
fcis-15817	92	3	of	of	ADP
fcis-15817	92	4	hardware	hardware	NOUN
fcis-15817	92	5	,	,	PUNCT
fcis-15817	92	6	the	the	DET
fcis-15817	92	7	cpu	cpu	NOUN
fcis-15817	92	8	model	model	NOUN
fcis-15817	92	9	is	be	AUX
fcis-15817	92	10	amd	amd	ADJ
fcis-15817	92	11	ryzen	ryzen	ADJ
fcis-15817	92	12	7	7	NUM
fcis-15817	92	13	5700x	5700x	NUM
fcis-15817	92	14	,	,	PUNCT
fcis-15817	92	15	the	the	DET
fcis-15817	92	16	gpu	gpu	NOUN
fcis-15817	92	17	is	be	AUX
fcis-15817	92	18	nvidia	nvidia	PROPN
fcis-15817	92	19	geforce	geforce	NOUN
fcis-15817	92	20	rtx3060ti	rtx3060ti	NOUN
fcis-15817	92	21	8	8	NUM
fcis-15817	92	22	gb	gb	NOUN
fcis-15817	92	23	,	,	PUNCT
fcis-15817	92	24	and	and	CCONJ
fcis-15817	92	25	the	the	DET
fcis-15817	92	26	memory	memory	NOUN
fcis-15817	92	27	is	be	AUX
fcis-15817	92	28	32	32	NUM
fcis-15817	92	29	gb	gb	NOUN
fcis-15817	92	30	.	.	NOUN
fcis-15817	93	1	3.3	3.3	NUM
fcis-15817	93	2	.	.	PUNCT
fcis-15817	94	1	indicators	indicator	NOUN
fcis-15817	94	2	for	for	ADP
fcis-15817	94	3	model	model	NOUN
fcis-15817	94	4	evaluation	evaluation	NOUN
fcis-15817	94	5	precision	precision	NOUN
fcis-15817	94	6	(	(	PUNCT
fcis-15817	94	7	p	p	NOUN
fcis-15817	94	8	)	)	PUNCT
fcis-15817	94	9	,	,	PUNCT
fcis-15817	94	10	recall	recall	INTJ
fcis-15817	94	11	(	(	PUNCT
fcis-15817	94	12	r	r	NOUN
fcis-15817	94	13	)	)	PUNCT
fcis-15817	94	14	,	,	PUNCT
fcis-15817	94	15	average	average	ADJ
fcis-15817	94	16	precision	precision	NOUN
fcis-15817	94	17	(	(	PUNCT
fcis-15817	94	18	ap	ap	PROPN
fcis-15817	94	19	)	)	PUNCT
fcis-15817	94	20	and	and	CCONJ
fcis-15817	94	21	mean	mean	VERB
fcis-15817	94	22	average	average	ADJ
fcis-15817	94	23	precision	precision	NOUN
fcis-15817	94	24	(	(	PUNCT
fcis-15817	94	25	map	map	NOUN
fcis-15817	94	26	)	)	PUNCT
fcis-15817	94	27	are	be	AUX
fcis-15817	94	28	the	the	DET
fcis-15817	94	29	main	main	ADJ
fcis-15817	94	30	evaluation	evaluation	NOUN
fcis-15817	94	31	indicators	indicator	NOUN
fcis-15817	94	32	of	of	ADP
fcis-15817	94	33	this	this	DET
fcis-15817	94	34	experiment	experiment	NOUN
fcis-15817	94	35	.	.	PUNCT
fcis-15817	95	1	their	their	PRON
fcis-15817	95	2	calculation	calculation	NOUN
fcis-15817	95	3	formulas	formula	NOUN
fcis-15817	95	4	are	be	AUX
fcis-15817	95	5	as	as	SCONJ
fcis-15817	95	6	follows	follow	VERB
fcis-15817	95	7	(	(	PUNCT
fcis-15817	95	8	3	3	NUM
fcis-15817	95	9	)	)	PUNCT
fcis-15817	95	10	(	(	PUNCT
fcis-15817	95	11	4	4	NUM
fcis-15817	95	12	)	)	PUNCT
fcis-15817	95	13	(	(	PUNCT
fcis-15817	95	14	5	5	NUM
fcis-15817	95	15	)	)	PUNCT
fcis-15817	95	16	∑	∑	PUNCT
fcis-15817	95	17	(	(	PUNCT
fcis-15817	95	18	6	6	NUM
fcis-15817	95	19	)	)	PUNCT
fcis-15817	95	20	p	p	NOUN
fcis-15817	95	21	calculates	calculate	VERB
fcis-15817	95	22	the	the	DET
fcis-15817	95	23	proportion	proportion	NOUN
fcis-15817	95	24	of	of	ADP
fcis-15817	95	25	correct	correct	ADJ
fcis-15817	95	26	positive	positive	ADJ
fcis-15817	95	27	samples	sample	NOUN
fcis-15817	95	28	to	to	ADP
fcis-15817	95	29	the	the	DET
fcis-15817	95	30	total	total	ADJ
fcis-15817	95	31	samples	sample	NOUN
fcis-15817	95	32	and	and	CCONJ
fcis-15817	95	33	is	be	AUX
fcis-15817	95	34	used	use	VERB
fcis-15817	95	35	to	to	PART
fcis-15817	95	36	evaluate	evaluate	VERB
fcis-15817	95	37	the	the	DET
fcis-15817	95	38	accuracy	accuracy	NOUN
fcis-15817	95	39	of	of	ADP
fcis-15817	95	40	model	model	NOUN
fcis-15817	95	41	detection	detection	NOUN
fcis-15817	95	42	.	.	PUNCT
fcis-15817	96	1	r	r	NOUN
fcis-15817	96	2	calculates	calculate	VERB
fcis-15817	96	3	the	the	DET
fcis-15817	96	4	proportion	proportion	NOUN
fcis-15817	96	5	of	of	ADP
fcis-15817	96	6	detected	detect	VERB
fcis-15817	96	7	positive	positive	ADJ
fcis-15817	96	8	samples	sample	NOUN
fcis-15817	96	9	to	to	PART
fcis-15817	96	10	total	total	VERB
fcis-15817	96	11	positive	positive	ADJ
fcis-15817	96	12	samples	sample	NOUN
fcis-15817	96	13	and	and	CCONJ
fcis-15817	96	14	is	be	AUX
fcis-15817	96	15	used	use	VERB
fcis-15817	96	16	to	to	PART
fcis-15817	96	17	evaluate	evaluate	VERB
fcis-15817	96	18	the	the	DET
fcis-15817	96	19	detection	detection	NOUN
fcis-15817	96	20	rate	rate	NOUN
fcis-15817	96	21	of	of	ADP
fcis-15817	96	22	the	the	DET
fcis-15817	96	23	model	model	NOUN
fcis-15817	96	24	.	.	PUNCT
fcis-15817	97	1	ap	ap	PROPN
fcis-15817	97	2	is	be	AUX
fcis-15817	97	3	used	use	VERB
fcis-15817	97	4	to	to	PART
fcis-15817	97	5	average	average	VERB
fcis-15817	97	6	the	the	DET
fcis-15817	97	7	precision	precision	NOUN
fcis-15817	97	8	under	under	ADP
fcis-15817	97	9	different	different	ADJ
fcis-15817	97	10	confidence	confidence	NOUN
fcis-15817	97	11	thresholds	threshold	NOUN
fcis-15817	97	12	.	.	PUNCT
fcis-15817	98	1	map	map	NOUN
fcis-15817	98	2	is	be	AUX
fcis-15817	98	3	the	the	DET
fcis-15817	98	4	ap	ap	PROPN
fcis-15817	98	5	calculated	calculate	VERB
fcis-15817	98	6	based	base	VERB
fcis-15817	98	7	on	on	ADP
fcis-15817	98	8	multiple	multiple	ADJ
fcis-15817	98	9	preset	preset	ADJ
fcis-15817	98	10	thresholds	threshold	NOUN
fcis-15817	98	11	,	,	PUNCT
fcis-15817	98	12	and	and	CCONJ
fcis-15817	98	13	finally	finally	ADV
fcis-15817	98	14	all	all	DET
fcis-15817	98	15	aps	ap	NOUN
fcis-15817	98	16	are	be	AUX
fcis-15817	98	17	averaged	average	VERB
fcis-15817	98	18	.	.	PUNCT
fcis-15817	99	1	in	in	ADP
fcis-15817	99	2	this	this	DET
fcis-15817	99	3	paper	paper	NOUN
fcis-15817	99	4	,	,	PUNCT
fcis-15817	99	5	we	we	PRON
fcis-15817	99	6	set	set	VERB
fcis-15817	99	7	the	the	DET
fcis-15817	99	8	iou	iou	NOUN
fcis-15817	99	9	threshold	threshold	NOUN
fcis-15817	99	10	to	to	ADP
fcis-15817	99	11	0.4	0.4	NUM
fcis-15817	99	12	and	and	CCONJ
fcis-15817	99	13	the	the	DET
fcis-15817	99	14	confidence	confidence	NOUN
fcis-15817	99	15	threshold	threshold	NOUN
fcis-15817	99	16	to	to	ADP
fcis-15817	99	17	0.25	0.25	NUM
fcis-15817	99	18	.	.	PUNCT
fcis-15817	100	1	in	in	ADP
fcis-15817	100	2	addition	addition	NOUN
fcis-15817	100	3	to	to	ADP
fcis-15817	100	4	accuracy	accuracy	NOUN
fcis-15817	100	5	,	,	PUNCT
fcis-15817	100	6	computational	computational	ADJ
fcis-15817	100	7	complexity	complexity	NOUN
fcis-15817	100	8	is	be	AUX
fcis-15817	100	9	also	also	ADV
fcis-15817	100	10	an	an	DET
fcis-15817	100	11	important	important	ADJ
fcis-15817	100	12	evaluation	evaluation	NOUN
fcis-15817	100	13	index	index	NOUN
fcis-15817	100	14	of	of	ADP
fcis-15817	100	15	this	this	DET
fcis-15817	100	16	model	model	NOUN
fcis-15817	100	17	.	.	PUNCT
fcis-15817	101	1	only	only	ADV
fcis-15817	101	2	with	with	ADP
fcis-15817	101	3	sufficient	sufficient	ADJ
fcis-15817	101	4	speed	speed	NOUN
fcis-15817	101	5	can	can	AUX
fcis-15817	101	6	real	real	ADJ
fcis-15817	101	7	-	-	PUNCT
fcis-15817	101	8	time	time	NOUN
fcis-15817	101	9	detection	detection	NOUN
fcis-15817	101	10	be	be	AUX
fcis-15817	101	11	achieved	achieve	VERB
fcis-15817	101	12	.	.	PUNCT
fcis-15817	102	1	in	in	ADP
fcis-15817	102	2	order	order	NOUN
fcis-15817	102	3	to	to	PART
fcis-15817	102	4	measure	measure	VERB
fcis-15817	102	5	the	the	DET
fcis-15817	102	6	complexity	complexity	NOUN
fcis-15817	102	7	of	of	ADP
fcis-15817	102	8	the	the	DET
fcis-15817	102	9	model	model	NOUN
fcis-15817	102	10	,	,	PUNCT
fcis-15817	102	11	we	we	PRON
fcis-15817	102	12	will	will	AUX
fcis-15817	102	13	calculate	calculate	VERB
fcis-15817	102	14	the	the	DET
fcis-15817	102	15	detection	detection	NOUN
fcis-15817	102	16	time	time	NOUN
fcis-15817	102	17	of	of	ADP
fcis-15817	102	18	each	each	DET
fcis-15817	102	19	frame	frame	NOUN
fcis-15817	102	20	in	in	ADP
fcis-15817	102	21	ms	ms	PROPN
fcis-15817	102	22	.	.	PROPN
fcis-15817	102	23	3.4	3.4	NUM
fcis-15817	102	24	.	.	PUNCT
fcis-15817	103	1	experimental	experimental	ADJ
fcis-15817	103	2	results	result	NOUN
fcis-15817	103	3	the	the	DET
fcis-15817	103	4	model	model	NOUN
fcis-15817	103	5	input	input	NOUN
fcis-15817	103	6	size	size	NOUN
fcis-15817	103	7	used	use	VERB
fcis-15817	103	8	in	in	ADP
fcis-15817	103	9	the	the	DET
fcis-15817	103	10	original	original	ADJ
fcis-15817	103	11	yolov5s	yolov5s	NOUN
fcis-15817	103	12	training	training	NOUN
fcis-15817	103	13	is	be	AUX
fcis-15817	103	14	640	640	NUM
fcis-15817	103	15	*	*	NUM
fcis-15817	103	16	640	640	NUM
fcis-15817	103	17	,	,	PUNCT
fcis-15817	103	18	the	the	DET
fcis-15817	103	19	batch	batch	NOUN
fcis-15817	103	20	-	-	PUNCT
fcis-15817	103	21	size	size	NOUN
fcis-15817	103	22	is	be	AUX
fcis-15817	103	23	32	32	NUM
fcis-15817	103	24	,	,	PUNCT
fcis-15817	103	25	the	the	DET
fcis-15817	103	26	training	training	NOUN
fcis-15817	103	27	epoch	epoch	NOUN
fcis-15817	103	28	is	be	AUX
fcis-15817	103	29	200	200	NUM
fcis-15817	103	30	,	,	PUNCT
fcis-15817	103	31	and	and	CCONJ
fcis-15817	103	32	the	the	DET
fcis-15817	103	33	learning	learning	NOUN
fcis-15817	103	34	rate	rate	NOUN
fcis-15817	103	35	is	be	AUX
fcis-15817	103	36	0.001	0.001	NUM
fcis-15817	103	37	.	.	PUNCT
fcis-15817	104	1	the	the	DET
fcis-15817	104	2	final	final	ADJ
fcis-15817	104	3	training	training	NOUN
fcis-15817	104	4	p	p	X
fcis-15817	104	5	,	,	PUNCT
fcis-15817	104	6	r	r	NOUN
fcis-15817	104	7	,	,	PUNCT
fcis-15817	104	8	ap	ap	PROPN
fcis-15817	104	9	,	,	PUNCT
fcis-15817	104	10	map	map	NOUN
fcis-15817	104	11	,	,	PUNCT
fcis-15817	104	12	and	and	CCONJ
fcis-15817	104	13	average	average	ADJ
fcis-15817	104	14	inference	inference	NOUN
fcis-15817	104	15	time	time	NOUN
fcis-15817	104	16	are	be	AUX
fcis-15817	104	17	97.3	97.3	NUM
fcis-15817	104	18	%	%	NOUN
fcis-15817	104	19	,	,	PUNCT
fcis-15817	104	20	94.2	94.2	NUM
fcis-15817	104	21	%	%	NOUN
fcis-15817	104	22	,	,	PUNCT
fcis-15817	104	23	94.1	94.1	NUM
fcis-15817	104	24	%	%	NOUN
fcis-15817	104	25	,	,	PUNCT
fcis-15817	104	26	92.1	92.1	NUM
fcis-15817	104	27	%	%	NOUN
fcis-15817	104	28	,	,	PUNCT
fcis-15817	104	29	51ms	51ms	NOUN
fcis-15817	104	30	.	.	PUNCT
fcis-15817	105	1	the	the	DET
fcis-15817	105	2	improved	improved	ADJ
fcis-15817	105	3	yolov5	yolov5	NOUN
fcis-15817	105	4	in	in	ADP
fcis-15817	105	5	this	this	DET
fcis-15817	105	6	article	article	NOUN
fcis-15817	105	7	uses	use	VERB
fcis-15817	105	8	the	the	DET
fcis-15817	105	9	same	same	ADJ
fcis-15817	105	10	training	training	NOUN
fcis-15817	105	11	hyperparameters	hyperparameter	NOUN
fcis-15817	105	12	.	.	PUNCT
fcis-15817	106	1	the	the	DET
fcis-15817	106	2	final	final	ADJ
fcis-15817	106	3	p	p	X
fcis-15817	106	4	,	,	PUNCT
fcis-15817	106	5	r	r	NOUN
fcis-15817	106	6	,	,	PUNCT
fcis-15817	106	7	ap	ap	PROPN
fcis-15817	106	8	,	,	PUNCT
fcis-15817	106	9	map	map	NOUN
fcis-15817	106	10	and	and	CCONJ
fcis-15817	106	11	average	average	ADJ
fcis-15817	106	12	inference	inference	NOUN
fcis-15817	106	13	time	time	NOUN
fcis-15817	106	14	obtained	obtain	VERB
fcis-15817	106	15	by	by	ADP
fcis-15817	106	16	training	training	NOUN
fcis-15817	106	17	are	be	AUX
fcis-15817	106	18	96.1	96.1	NUM
fcis-15817	106	19	%	%	NOUN
fcis-15817	106	20	,	,	PUNCT
fcis-15817	106	21	92.1	92.1	NUM
fcis-15817	106	22	%	%	NOUN
fcis-15817	106	23	,	,	PUNCT
fcis-15817	106	24	91.5	91.5	NUM
fcis-15817	106	25	%	%	NOUN
fcis-15817	106	26	,	,	PUNCT
fcis-15817	106	27	89.7	89.7	NUM
fcis-15817	106	28	%	%	NOUN
fcis-15817	106	29	,	,	PUNCT
fcis-15817	106	30	25ms	25ms	ADJ
fcis-15817	106	31	.	.	PUNCT
fcis-15817	107	1	the	the	DET
fcis-15817	107	2	final	final	ADJ
fcis-15817	107	3	indicators	indicator	NOUN
fcis-15817	107	4	of	of	ADP
fcis-15817	107	5	the	the	DET
fcis-15817	107	6	two	two	NUM
fcis-15817	107	7	models	model	NOUN
fcis-15817	107	8	are	be	AUX
fcis-15817	107	9	as	as	SCONJ
fcis-15817	107	10	follows	follow	VERB
fcis-15817	107	11	:	:	PUNCT
fcis-15817	107	12	table	table	NOUN
fcis-15817	107	13	1	1	NUM
fcis-15817	107	14	.	.	PUNCT
fcis-15817	108	1	experimental	experimental	ADJ
fcis-15817	108	2	results	result	NOUN
fcis-15817	108	3	model_name	model_name	PROPN
fcis-15817	108	4	p	p	NOUN
fcis-15817	108	5	r	r	NOUN
fcis-15817	108	6	ap	ap	PROPN
fcis-15817	108	7	map	map	NOUN
fcis-15817	108	8	time	time	NOUN
fcis-15817	108	9	yolov5s	yolov5s	PROPN
fcis-15817	108	10	97.3	97.3	NUM
fcis-15817	108	11	94.2	94.2	NUM
fcis-15817	108	12	94.1	94.1	NUM
fcis-15817	108	13	92.1	92.1	NUM
fcis-15817	108	14	51	51	NUM
fcis-15817	108	15	improved	improve	VERB
fcis-15817	108	16	yolov5s	yolov5s	NOUN
fcis-15817	108	17	96.1	96.1	NUM
fcis-15817	108	18	92.1	92.1	NUM
fcis-15817	108	19	91.5	91.5	NUM
fcis-15817	108	20	89.7	89.7	NUM
fcis-15817	108	21	30	30	NUM
fcis-15817	108	22	figure	figure	NOUN
fcis-15817	108	23	4	4	NUM
fcis-15817	108	24	.	.	PUNCT
fcis-15817	109	1	license	license	NOUN
fcis-15817	109	2	plate	plate	NOUN
fcis-15817	109	3	detection	detection	NOUN
fcis-15817	109	4	4	4	NUM
fcis-15817	109	5	.	.	PUNCT
fcis-15817	109	6	conclusion	conclusion	NOUN
fcis-15817	109	7	in	in	ADP
fcis-15817	109	8	license	license	NOUN
fcis-15817	109	9	plate	plate	NOUN
fcis-15817	109	10	detection	detection	NOUN
fcis-15817	109	11	and	and	CCONJ
fcis-15817	109	12	recognition	recognition	NOUN
fcis-15817	109	13	,	,	PUNCT
fcis-15817	109	14	due	due	ADP
fcis-15817	109	15	to	to	ADP
fcis-15817	109	16	the	the	DET
fcis-15817	109	17	limitations	limitation	NOUN
fcis-15817	109	18	of	of	ADP
fcis-15817	109	19	the	the	DET
fcis-15817	109	20	working	working	NOUN
fcis-15817	109	21	environment	environment	NOUN
fcis-15817	109	22	,	,	PUNCT
fcis-15817	109	23	mobile	mobile	ADJ
fcis-15817	109	24	embedded	embed	VERB
fcis-15817	109	25	devices	device	NOUN
fcis-15817	109	26	are	be	AUX
fcis-15817	109	27	more	more	ADV
fcis-15817	109	28	suitable	suitable	ADJ
fcis-15817	109	29	for	for	ADP
fcis-15817	109	30	detection	detection	NOUN
fcis-15817	109	31	tasks	task	NOUN
fcis-15817	109	32	.	.	PUNCT
fcis-15817	110	1	however	however	ADV
fcis-15817	110	2	,	,	PUNCT
fcis-15817	110	3	embedding	embed	VERB
fcis-15817	110	4	equipment	equipment	NOUN
fcis-15817	110	5	has	have	AUX
fcis-15817	110	6	limited	limit	VERB
fcis-15817	110	7	computational	computational	ADJ
fcis-15817	110	8	examples	example	NOUN
fcis-15817	110	9	.	.	PUNCT
fcis-15817	111	1	therefore	therefore	ADV
fcis-15817	111	2	,	,	PUNCT
fcis-15817	111	3	in	in	ADP
fcis-15817	111	4	order	order	NOUN
fcis-15817	111	5	to	to	PART
fcis-15817	111	6	balance	balance	VERB
fcis-15817	111	7	detection	detection	NOUN
fcis-15817	111	8	accuracy	accuracy	NOUN
fcis-15817	111	9	and	and	CCONJ
fcis-15817	111	10	model	model	NOUN
fcis-15817	111	11	inference	inference	NOUN
fcis-15817	111	12	speed	speed	NOUN
fcis-15817	111	13	,	,	PUNCT
fcis-15817	111	14	this	this	DET
fcis-15817	111	15	paper	paper	NOUN
fcis-15817	111	16	proposes	propose	VERB
fcis-15817	111	17	a	a	DET
fcis-15817	111	18	license	license	NOUN
fcis-15817	111	19	plate	plate	NOUN
fcis-15817	111	20	detection	detection	NOUN
fcis-15817	111	21	and	and	CCONJ
fcis-15817	111	22	recognition	recognition	NOUN
fcis-15817	111	23	model	model	NOUN
fcis-15817	111	24	based	base	VERB
fcis-15817	111	25	on	on	ADP
fcis-15817	111	26	improved	improved	ADJ
fcis-15817	111	27	yolov5	yolov5	NOUN
fcis-15817	111	28	,	,	PUNCT
fcis-15817	111	29	making	make	VERB
fcis-15817	111	30	certain	certain	ADJ
fcis-15817	111	31	improvements	improvement	NOUN
fcis-15817	111	32	in	in	ADP
fcis-15817	111	33	the	the	DET
fcis-15817	111	34	model	model	NOUN
fcis-15817	111	35	backbone	backbone	NOUN
fcis-15817	111	36	network	network	NOUN
fcis-15817	111	37	,	,	PUNCT
fcis-15817	111	38	model	model	NOUN
fcis-15817	111	39	structure	structure	NOUN
fcis-15817	111	40	,	,	PUNCT
fcis-15817	111	41	and	and	CCONJ
fcis-15817	111	42	activation	activation	NOUN
fcis-15817	111	43	function	function	NOUN
fcis-15817	111	44	.	.	PUNCT
fcis-15817	112	1	,	,	PUNCT
fcis-15817	112	2	and	and	CCONJ
fcis-15817	112	3	key	key	ADJ
fcis-15817	112	4	point	point	NOUN
fcis-15817	112	5	detection	detection	NOUN
fcis-15817	112	6	is	be	AUX
fcis-15817	112	7	added	add	VERB
fcis-15817	112	8	to	to	ADP
fcis-15817	112	9	the	the	DET
fcis-15817	112	10	detection	detection	NOUN
fcis-15817	112	11	,	,	PUNCT
fcis-15817	112	12	which	which	PRON
fcis-15817	112	13	greatly	greatly	ADV
fcis-15817	112	14	improves	improve	VERB
fcis-15817	112	15	the	the	DET
fcis-15817	112	16	model	model	NOUN
fcis-15817	112	17	inference	inference	NOUN
fcis-15817	112	18	speed	speed	NOUN
fcis-15817	112	19	while	while	SCONJ
fcis-15817	112	20	ensuring	ensure	VERB
fcis-15817	112	21	the	the	DET
fcis-15817	112	22	accuracy	accuracy	NOUN
fcis-15817	112	23	of	of	ADP
fcis-15817	112	24	model	model	NOUN
fcis-15817	112	25	detection	detection	NOUN
fcis-15817	112	26	and	and	CCONJ
fcis-15817	112	27	license	license	NOUN
fcis-15817	112	28	plate	plate	NOUN
fcis-15817	112	29	number	number	NOUN
fcis-15817	112	30	recognition	recognition	NOUN
fcis-15817	112	31	.	.	PUNCT
fcis-15817	113	1	in	in	ADP
fcis-15817	113	2	the	the	DET
fcis-15817	113	3	ccpd	ccpd	ADJ
fcis-15817	113	4	data	datum	NOUN
fcis-15817	113	5	set	set	VERB
fcis-15817	113	6	,	,	PUNCT
fcis-15817	113	7	compared	compare	VERB
fcis-15817	113	8	with	with	ADP
fcis-15817	113	9	the	the	DET
fcis-15817	113	10	original	original	ADJ
fcis-15817	113	11	yolov5s	yolov5s	PROPN
fcis-15817	113	12	,	,	PUNCT
fcis-15817	113	13	the	the	DET
fcis-15817	113	14	number	number	NOUN
fcis-15817	113	15	of	of	ADP
fcis-15817	113	16	model	model	NOUN
fcis-15817	113	17	parameters	parameter	NOUN
fcis-15817	113	18	in	in	ADP
fcis-15817	113	19	this	this	DET
fcis-15817	113	20	article	article	NOUN
fcis-15817	113	21	has	have	AUX
fcis-15817	113	22	dropped	drop	VERB
fcis-15817	113	23	by	by	ADP
fcis-15817	113	24	50.9	50.9	NUM
fcis-15817	113	25	%	%	NOUN
fcis-15817	113	26	,	,	PUNCT
fcis-15817	113	27	the	the	DET
fcis-15817	113	28	inference	inference	NOUN
fcis-15817	113	29	time	time	NOUN
fcis-15817	113	30	has	have	AUX
fcis-15817	113	31	dropped	drop	VERB
fcis-15817	113	32	by	by	ADP
fcis-15817	113	33	26ms	26ms	NUM
fcis-15817	113	34	,	,	PUNCT
fcis-15817	113	35	and	and	CCONJ
fcis-15817	113	36	when	when	SCONJ
fcis-15817	113	37	precision	precision	NOUN
fcis-15817	113	38	is	be	AUX
fcis-15817	113	39	used	use	VERB
fcis-15817	113	40	as	as	ADP
fcis-15817	113	41	the	the	DET
fcis-15817	113	42	standard	standard	NOUN
fcis-15817	113	43	,	,	PUNCT
fcis-15817	113	44	the	the	DET
fcis-15817	113	45	detection	detection	NOUN
fcis-15817	113	46	accuracy	accuracy	NOUN
fcis-15817	113	47	has	have	AUX
fcis-15817	113	48	only	only	ADV
fcis-15817	113	49	dropped	drop	VERB
fcis-15817	113	50	by	by	ADP
fcis-15817	113	51	1	1	NUM
fcis-15817	113	52	%	%	NOUN
fcis-15817	113	53	.	.	PUNCT
fcis-15817	114	1	through	through	ADP
fcis-15817	114	2	experiments	experiment	NOUN
fcis-15817	114	3	,	,	PUNCT
fcis-15817	114	4	we	we	PRON
fcis-15817	114	5	found	find	VERB
fcis-15817	114	6	that	that	SCONJ
fcis-15817	114	7	the	the	DET
fcis-15817	114	8	model	model	NOUN
fcis-15817	114	9	in	in	ADP
fcis-15817	114	10	this	this	DET
fcis-15817	114	11	study	study	NOUN
fcis-15817	114	12	is	be	AUX
fcis-15817	114	13	more	more	ADV
fcis-15817	114	14	suitable	suitable	ADJ
fcis-15817	114	15	for	for	ADP
fcis-15817	114	16	license	license	NOUN
fcis-15817	114	17	plate	plate	NOUN
fcis-15817	114	18	detection	detection	NOUN
fcis-15817	114	19	and	and	CCONJ
fcis-15817	114	20	99	99	NUM
fcis-15817	114	21	recognition	recognition	NOUN
fcis-15817	114	22	tasks	task	NOUN
fcis-15817	114	23	,	,	PUNCT
fcis-15817	114	24	achieving	achieve	VERB
fcis-15817	114	25	a	a	DET
fcis-15817	114	26	good	good	ADJ
fcis-15817	114	27	balance	balance	NOUN
fcis-15817	114	28	in	in	ADP
fcis-15817	114	29	terms	term	NOUN
fcis-15817	114	30	of	of	ADP
fcis-15817	114	31	accuracy	accuracy	NOUN
fcis-15817	114	32	and	and	CCONJ
fcis-15817	114	33	speed	speed	NOUN
fcis-15817	114	34	.	.	PUNCT
fcis-15817	115	1	in	in	ADP
fcis-15817	115	2	the	the	DET
fcis-15817	115	3	future	future	NOUN
fcis-15817	115	4	,	,	PUNCT
fcis-15817	115	5	we	we	PRON
fcis-15817	115	6	will	will	AUX
fcis-15817	115	7	further	far	ADV
fcis-15817	115	8	optimize	optimize	VERB
fcis-15817	115	9	the	the	DET
fcis-15817	115	10	model	model	NOUN
fcis-15817	115	11	and	and	CCONJ
fcis-15817	115	12	explore	explore	VERB
fcis-15817	115	13	optimization	optimization	NOUN
fcis-15817	115	14	methods	method	NOUN
fcis-15817	115	15	to	to	PART
fcis-15817	115	16	improve	improve	VERB
fcis-15817	115	17	its	its	PRON
fcis-15817	115	18	detection	detection	NOUN
fcis-15817	115	19	accuracy	accuracy	NOUN
fcis-15817	115	20	without	without	ADP
fcis-15817	115	21	increasing	increase	VERB
fcis-15817	115	22	the	the	DET
fcis-15817	115	23	model	model	NOUN
fcis-15817	115	24	parameters	parameter	NOUN
fcis-15817	115	25	,	,	PUNCT
fcis-15817	115	26	so	so	SCONJ
fcis-15817	115	27	that	that	SCONJ
fcis-15817	115	28	the	the	DET
fcis-15817	115	29	network	network	NOUN
fcis-15817	115	30	can	can	AUX
fcis-15817	115	31	be	be	AUX
fcis-15817	115	32	more	more	ADV
fcis-15817	115	33	competent	competent	ADJ
fcis-15817	115	34	in	in	ADP
fcis-15817	115	35	license	license	NOUN
fcis-15817	115	36	plate	plate	NOUN
fcis-15817	115	37	detection	detection	NOUN
fcis-15817	115	38	tasks	task	NOUN
fcis-15817	115	39	.	.	PUNCT
fcis-15817	116	1	references	reference	NOUN
fcis-15817	116	2	[	[	X
fcis-15817	116	3	1	1	NUM
fcis-15817	116	4	]	]	X
fcis-15817	116	5	redmon	redmon	PROPN
fcis-15817	116	6	,	,	PUNCT
fcis-15817	116	7	j.	j.	PROPN
fcis-15817	116	8	;	;	PUNCT
fcis-15817	116	9	divvala	divvala	PROPN
fcis-15817	116	10	,	,	PUNCT
fcis-15817	116	11	s.	s.	PROPN
fcis-15817	116	12	;	;	PUNCT
fcis-15817	116	13	girshick	girshick	PROPN
fcis-15817	116	14	,	,	PUNCT
fcis-15817	116	15	r.	r.	PROPN
fcis-15817	116	16	;	;	PUNCT
fcis-15817	116	17	farhadi	farhadi	NOUN
fcis-15817	116	18	,	,	PUNCT
fcis-15817	116	19	a.	a.	NOUN
fcis-15817	116	20	you	you	PRON
fcis-15817	116	21	only	only	ADV
fcis-15817	116	22	look	look	VERB
fcis-15817	116	23	once	once	ADV
fcis-15817	116	24	:	:	PUNCT
fcis-15817	116	25	unified	unified	ADJ
fcis-15817	116	26	,	,	PUNCT
fcis-15817	116	27	real	real	ADJ
fcis-15817	116	28	-	-	PUNCT
fcis-15817	116	29	time	time	NOUN
fcis-15817	116	30	object	object	NOUN
fcis-15817	116	31	detection	detection	NOUN
fcis-15817	116	32	.	.	PUNCT
fcis-15817	117	1	in	in	ADP
fcis-15817	117	2	proceedings	proceeding	NOUN
fcis-15817	117	3	of	of	ADP
fcis-15817	117	4	the	the	DET
fcis-15817	117	5	ieee	ieee	NOUN
fcis-15817	117	6	conference	conference	NOUN
fcis-15817	117	7	on	on	ADP
fcis-15817	117	8	computer	computer	NOUN
fcis-15817	117	9	vision	vision	NOUN
fcis-15817	117	10	and	and	CCONJ
fcis-15817	117	11	pattern	pattern	NOUN
fcis-15817	117	12	recognition	recognition	NOUN
fcis-15817	117	13	(	(	PUNCT
fcis-15817	117	14	cvpr	cvpr	NOUN
fcis-15817	117	15	)	)	PUNCT
fcis-15817	117	16	,	,	PUNCT
fcis-15817	117	17	las	las	PROPN
fcis-15817	117	18	vegas	vegas	PROPN
fcis-15817	117	19	,	,	PUNCT
fcis-15817	117	20	nv	nv	PROPN
fcis-15817	117	21	,	,	PUNCT
fcis-15817	117	22	usa	usa	PROPN
fcis-15817	117	23	,	,	PUNCT
fcis-15817	117	24	27–30	27–30	NUM
fcis-15817	117	25	june	june	PROPN
fcis-15817	117	26	2016	2016	NUM
fcis-15817	117	27	;	;	PUNCT
fcis-15817	117	28	pp.779–788	pp.779–788	NOUN
fcis-15817	117	29	.	.	PUNCT
fcis-15817	118	1	[	[	X
fcis-15817	118	2	2	2	NUM
fcis-15817	118	3	]	]	X
fcis-15817	118	4	zhang	zhang	PROPN
fcis-15817	118	5	x	x	PROPN
fcis-15817	118	6	,	,	PUNCT
fcis-15817	118	7	zhou	zhou	PROPN
fcis-15817	118	8	x	x	PROPN
fcis-15817	118	9	,	,	PUNCT
fcis-15817	118	10	lin	lin	PROPN
fcis-15817	118	11	m	m	PROPN
fcis-15817	118	12	,	,	PUNCT
fcis-15817	118	13	et	et	PROPN
fcis-15817	118	14	al	al	PROPN
fcis-15817	118	15	.	.	PROPN
fcis-15817	118	16	shufflenet	shufflenet	PROPN
fcis-15817	118	17	:	:	PUNCT
fcis-15817	118	18	an	an	DET
fcis-15817	118	19	extremely	extremely	ADV
fcis-15817	118	20	efficient	efficient	ADJ
fcis-15817	118	21	convolutional	convolutional	ADJ
fcis-15817	118	22	neural	neural	ADJ
fcis-15817	118	23	network	network	NOUN
fcis-15817	118	24	for	for	ADP
fcis-15817	118	25	mobile	mobile	ADJ
fcis-15817	118	26	devices	device	NOUN
fcis-15817	118	27	[	[	X
fcis-15817	118	28	c]//	c]//	ADJ
fcis-15817	118	29	proceedings	proceeding	NOUN
fcis-15817	118	30	of	of	ADP
fcis-15817	118	31	the	the	DET
fcis-15817	118	32	ieee	ieee	NOUN
fcis-15817	118	33	conference	conference	NOUN
fcis-15817	118	34	on	on	ADP
fcis-15817	118	35	computer	computer	NOUN
fcis-15817	118	36	vision	vision	NOUN
fcis-15817	118	37	and	and	CCONJ
fcis-15817	118	38	pattern	pattern	NOUN
fcis-15817	118	39	recognition	recognition	NOUN
fcis-15817	118	40	.	.	PUNCT
fcis-15817	119	1	2018:6848	2018:6848	X
fcis-15817	119	2	-	-	SYM
fcis-15817	119	3	6856	6856	NUM
fcis-15817	119	4	.	.	PUNCT
fcis-15817	120	1	[	[	X
fcis-15817	120	2	3	3	X
fcis-15817	120	3	]	]	PUNCT
fcis-15817	120	4	he	he	PRON
fcis-15817	120	5	k	k	NOUN
fcis-15817	120	6	,	,	PUNCT
fcis-15817	120	7	gkioxari	gkioxari	NOUN
fcis-15817	120	8	g	g	NOUN
fcis-15817	120	9	,	,	PUNCT
fcis-15817	120	10	dollár	dollár	NOUN
fcis-15817	120	11	p	p	NOUN
fcis-15817	120	12	,	,	PUNCT
fcis-15817	120	13	et	et	PROPN
fcis-15817	120	14	al	al	PROPN
fcis-15817	120	15	.	.	PROPN
fcis-15817	120	16	mask	mask	NOUN
fcis-15817	120	17	r	r	NOUN
fcis-15817	120	18	-	-	PUNCT
fcis-15817	120	19	cnn[c]//proceedings	cnn[c]//proceeding	NOUN
fcis-15817	120	20	of	of	ADP
fcis-15817	120	21	the	the	DET
fcis-15817	120	22	ieee	ieee	NOUN
fcis-15817	120	23	international	international	PROPN
fcis-15817	120	24	conference	conference	NOUN
fcis-15817	120	25	on	on	ADP
fcis-15817	120	26	computer	computer	NOUN
fcis-15817	120	27	vision	vision	NOUN
fcis-15817	120	28	.	.	PUNCT
fcis-15817	121	1	2017	2017	NUM
fcis-15817	121	2	:	:	PUNCT
fcis-15817	121	3	2961	2961	NUM
fcis-15817	121	4	-	-	SYM
fcis-15817	121	5	2969	2969	NUM
fcis-15817	121	6	.	.	PUNCT
fcis-15817	122	1	[	[	X
fcis-15817	122	2	4	4	X
fcis-15817	122	3	]	]	X
fcis-15817	122	4	girshick	girshick	PROPN
fcis-15817	122	5	r.	r.	PROPN
fcis-15817	122	6	fast	fast	ADV
fcis-15817	122	7	r	r	NOUN
fcis-15817	122	8	-	-	PUNCT
fcis-15817	122	9	cnn[c]//proceedings	cnn[c]//proceeding	NOUN
fcis-15817	122	10	of	of	ADP
fcis-15817	122	11	the	the	DET
fcis-15817	122	12	ieee	ieee	NOUN
fcis-15817	122	13	international	international	PROPN
fcis-15817	122	14	conference	conference	NOUN
fcis-15817	122	15	on	on	ADP
fcis-15817	122	16	computer	computer	NOUN
fcis-15817	122	17	vision	vision	NOUN
fcis-15817	122	18	.	.	PUNCT
fcis-15817	123	1	2015	2015	NUM
fcis-15817	123	2	:	:	PUNCT
fcis-15817	123	3	1440	1440	NUM
fcis-15817	123	4	-	-	SYM
fcis-15817	123	5	1448	1448	NUM
fcis-15817	123	6	.	.	PUNCT
fcis-15817	124	1	[	[	X
fcis-15817	124	2	5	5	X
fcis-15817	124	3	]	]	X
fcis-15817	124	4	ren	ren	PROPN
fcis-15817	124	5	s	s	PROPN
fcis-15817	124	6	,	,	PUNCT
fcis-15817	124	7	he	he	PRON
fcis-15817	124	8	k	k	NOUN
fcis-15817	124	9	,	,	PUNCT
fcis-15817	124	10	girshick	girshick	ADJ
fcis-15817	124	11	r	r	NOUN
fcis-15817	124	12	,	,	PUNCT
fcis-15817	124	13	et	et	PROPN
fcis-15817	124	14	al	al	PROPN
fcis-15817	124	15	.	.	PUNCT
fcis-15817	125	1	faster	fast	ADJ
fcis-15817	125	2	r	r	NOUN
fcis-15817	125	3	-	-	PUNCT
fcis-15817	125	4	cnn	cnn	NOUN
fcis-15817	125	5	:	:	PUNCT
fcis-15817	125	6	towards	towards	ADP
fcis-15817	125	7	real	real	ADJ
fcis-15817	125	8	-	-	PUNCT
fcis-15817	125	9	time	time	NOUN
fcis-15817	125	10	object	object	NOUN
fcis-15817	125	11	detection	detection	NOUN
fcis-15817	125	12	with	with	ADP
fcis-15817	125	13	region	region	NOUN
fcis-15817	125	14	proposal	proposal	NOUN
fcis-15817	125	15	networks[j	networks[j	PROPN
fcis-15817	125	16	]	]	X
fcis-15817	125	17	.	.	PUNCT
fcis-15817	126	1	advances	advance	NOUN
fcis-15817	126	2	in	in	ADP
fcis-15817	126	3	neural	neural	ADJ
fcis-15817	126	4	information	information	NOUN
fcis-15817	126	5	processing	processing	NOUN
fcis-15817	126	6	systems	system	NOUN
fcis-15817	126	7	,	,	PUNCT
fcis-15817	126	8	2015	2015	NUM
fcis-15817	126	9	,	,	PUNCT
fcis-15817	126	10	28	28	NUM
fcis-15817	126	11	.	.	PUNCT
fcis-15817	127	1	[	[	X
fcis-15817	127	2	6	6	NUM
fcis-15817	127	3	]	]	PUNCT
fcis-15817	127	4	he	he	PRON
fcis-15817	127	5	k	k	PROPN
fcis-15817	127	6	,	,	PUNCT
fcis-15817	127	7	zhang	zhang	PROPN
fcis-15817	127	8	x	x	PROPN
fcis-15817	127	9	,	,	PUNCT
fcis-15817	127	10	ren	ren	PROPN
fcis-15817	127	11	s	s	PROPN
fcis-15817	127	12	,	,	PUNCT
fcis-15817	127	13	et	et	PROPN
fcis-15817	127	14	al	al	PROPN
fcis-15817	127	15	.	.	PUNCT
fcis-15817	128	1	spatial	spatial	ADJ
fcis-15817	128	2	pyramid	pyramid	NOUN
fcis-15817	128	3	pooling	pool	VERB
fcis-15817	128	4	in	in	ADP
fcis-15817	128	5	deep	deep	ADJ
fcis-15817	128	6	convolutional	convolutional	ADJ
fcis-15817	128	7	networks	network	NOUN
fcis-15817	128	8	for	for	ADP
fcis-15817	128	9	visual	visual	ADJ
fcis-15817	128	10	recognition[j	recognition[j	NOUN
fcis-15817	128	11	]	]	PUNCT
fcis-15817	128	12	.	.	PUNCT
fcis-15817	129	1	ieee	ieee	NOUN
fcis-15817	129	2	transactions	transaction	NOUN
fcis-15817	129	3	on	on	ADP
fcis-15817	129	4	pattern	pattern	NOUN
fcis-15817	129	5	analysis	analysis	NOUN
fcis-15817	129	6	and	and	CCONJ
fcis-15817	129	7	machine	machine	NOUN
fcis-15817	129	8	intelligence	intelligence	NOUN
fcis-15817	129	9	,	,	PUNCT
fcis-15817	129	10	2015	2015	NUM
fcis-15817	129	11	,	,	PUNCT
fcis-15817	129	12	37	37	NUM
fcis-15817	129	13	(	(	PUNCT
fcis-15817	129	14	9	9	NUM
fcis-15817	129	15	):	):	PUNCT
fcis-15817	129	16	1904	1904	NUM
fcis-15817	129	17	-	-	SYM
fcis-15817	129	18	1916	1916	NUM
fcis-15817	129	19	.	.	PUNCT
fcis-15817	130	1	[	[	X
fcis-15817	130	2	7	7	X
fcis-15817	130	3	]	]	X
fcis-15817	130	4	liu	liu	PROPN
fcis-15817	130	5	w	w	PROPN
fcis-15817	130	6	,	,	PUNCT
fcis-15817	130	7	anguelov	anguelov	NOUN
fcis-15817	130	8	d	d	NOUN
fcis-15817	130	9	,	,	PUNCT
fcis-15817	130	10	erhan	erhan	ADP
fcis-15817	130	11	d	d	PROPN
fcis-15817	130	12	,	,	PUNCT
fcis-15817	130	13	et	et	PROPN
fcis-15817	130	14	al	al	PROPN
fcis-15817	130	15	.	.	PROPN
fcis-15817	130	16	ssd	ssd	PROPN
fcis-15817	130	17	:	:	PUNCT
fcis-15817	130	18	single	single	ADJ
fcis-15817	130	19	shot	shot	NOUN
fcis-15817	130	20	multibox	multibox	NOUN
fcis-15817	130	21	detector	detector	NOUN
fcis-15817	130	22	[	[	X
fcis-15817	130	23	c]//	c]//	PROPN
fcis-15817	130	24	computer	computer	NOUN
fcis-15817	130	25	vision	vision	NOUN
fcis-15817	130	26	–	–	PUNCT
fcis-15817	130	27	eccv	eccv	NOUN
fcis-15817	130	28	2016	2016	NUM
fcis-15817	130	29	:	:	PUNCT
fcis-15817	130	30	14th	14th	ADJ
fcis-15817	130	31	european	european	ADJ
fcis-15817	130	32	conference	conference	PROPN
fcis-15817	130	33	,	,	PUNCT
fcis-15817	130	34	amsterdam	amsterdam	PROPN
fcis-15817	130	35	,	,	PUNCT
fcis-15817	130	36	the	the	DET
fcis-15817	130	37	netherlands	netherlands	PROPN
fcis-15817	130	38	,	,	PUNCT
fcis-15817	130	39	october	october	PROPN
fcis-15817	130	40	11–14	11–14	NUM
fcis-15817	130	41	,	,	PUNCT
fcis-15817	130	42	2016	2016	NUM
fcis-15817	130	43	,	,	PUNCT
fcis-15817	130	44	proceedings	proceeding	NOUN
fcis-15817	130	45	,	,	PUNCT
fcis-15817	130	46	part	part	NOUN
fcis-15817	130	47	i	i	PRON
fcis-15817	130	48	14	14	NUM
fcis-15817	130	49	.	.	PUNCT
fcis-15817	131	1	springer	springer	NOUN
fcis-15817	131	2	international	international	ADJ
fcis-15817	131	3	publishing	publishing	NOUN
fcis-15817	131	4	,	,	PUNCT
fcis-15817	131	5	2016	2016	NUM
fcis-15817	131	6	:	:	PUNCT
fcis-15817	131	7	21	21	NUM
fcis-15817	131	8	-	-	SYM
fcis-15817	131	9	37	37	NUM
fcis-15817	131	10	.	.	PUNCT
fcis-15817	132	1	[	[	X
fcis-15817	132	2	8	8	NUM
fcis-15817	132	3	]	]	X
fcis-15817	132	4	howard	howard	PROPN
fcis-15817	132	5	a	a	DET
fcis-15817	132	6	g	g	PROPN
fcis-15817	132	7	,	,	PUNCT
fcis-15817	132	8	zhu	zhu	PROPN
fcis-15817	132	9	m	m	PROPN
fcis-15817	132	10	,	,	PUNCT
fcis-15817	132	11	chen	chen	PROPN
fcis-15817	132	12	b	b	PROPN
fcis-15817	132	13	,	,	PUNCT
fcis-15817	132	14	et	et	PROPN
fcis-15817	132	15	al	al	PROPN
fcis-15817	132	16	.	.	PROPN
fcis-15817	132	17	mobilenets	mobilenet	NOUN
fcis-15817	132	18	:	:	PUNCT
fcis-15817	132	19	efficient	efficient	ADJ
fcis-15817	132	20	convolutional	convolutional	ADJ
fcis-15817	132	21	neural	neural	ADJ
fcis-15817	132	22	networks	network	NOUN
fcis-15817	132	23	for	for	ADP
fcis-15817	132	24	mobile	mobile	ADJ
fcis-15817	132	25	vision	vision	NOUN
fcis-15817	132	26	applications	application	NOUN
fcis-15817	132	27	[	[	X
fcis-15817	132	28	j	j	X
fcis-15817	132	29	]	]	X
fcis-15817	132	30	.	.	PUNCT
fcis-15817	133	1	arxiv	arxiv	PROPN
fcis-15817	133	2	preprint	preprint	PROPN
fcis-15817	133	3	arxiv:1704.04861	arxiv:1704.04861	NOUN
fcis-15817	133	4	,	,	PUNCT
fcis-15817	133	5	2017	2017	NUM
fcis-15817	133	6	.	.	PUNCT
fcis-15817	134	1	[	[	X
fcis-15817	134	2	9	9	NUM
fcis-15817	134	3	]	]	X
fcis-15817	134	4	han	han	PROPN
fcis-15817	134	5	k	k	PROPN
fcis-15817	134	6	,	,	PUNCT
fcis-15817	134	7	wang	wang	PROPN
fcis-15817	134	8	y	y	PROPN
fcis-15817	134	9	,	,	PUNCT
fcis-15817	134	10	tian	tian	PROPN
fcis-15817	134	11	q	q	NOUN
fcis-15817	134	12	,	,	PUNCT
fcis-15817	134	13	et	et	PROPN
fcis-15817	134	14	al	al	PROPN
fcis-15817	134	15	.	.	PROPN
fcis-15817	134	16	ghostnet	ghostnet	NOUN
fcis-15817	134	17	:	:	PUNCT
fcis-15817	134	18	more	more	ADJ
fcis-15817	134	19	features	feature	NOUN
fcis-15817	134	20	from	from	ADP
fcis-15817	134	21	cheap	cheap	ADJ
fcis-15817	134	22	operations	operation	NOUN
fcis-15817	134	23	[	[	PUNCT
fcis-15817	134	24	c]//	c]//	ADJ
fcis-15817	134	25	proceedings	proceeding	NOUN
fcis-15817	134	26	of	of	ADP
fcis-15817	134	27	the	the	DET
fcis-15817	134	28	ieee	ieee	NOUN
fcis-15817	134	29	/	/	SYM
fcis-15817	134	30	cvf	cvf	NOUN
fcis-15817	134	31	conference	conference	NOUN
fcis-15817	134	32	on	on	ADP
fcis-15817	134	33	computer	computer	NOUN
fcis-15817	134	34	vision	vision	NOUN
fcis-15817	134	35	and	and	CCONJ
fcis-15817	134	36	pattern	pattern	NOUN
fcis-15817	134	37	recognition	recognition	NOUN
fcis-15817	134	38	.	.	PUNCT
fcis-15817	135	1	2020	2020	NUM
fcis-15817	135	2	:	:	PUNCT
fcis-15817	135	3	1580	1580	NUM
fcis-15817	135	4	-	-	SYM
fcis-15817	135	5	1589	1589	NUM
fcis-15817	135	6	.	.	PUNCT
fcis-15817	136	1	[	[	X
fcis-15817	136	2	10	10	NUM
fcis-15817	136	3	]	]	X
fcis-15817	136	4	ma	ma	PROPN
fcis-15817	136	5	n	n	PROPN
fcis-15817	136	6	,	,	PUNCT
fcis-15817	136	7	zhang	zhang	PROPN
fcis-15817	136	8	x	x	PROPN
fcis-15817	136	9	,	,	PUNCT
fcis-15817	136	10	zheng	zheng	PROPN
fcis-15817	136	11	h	h	PROPN
fcis-15817	136	12	t	t	PROPN
fcis-15817	136	13	,	,	PUNCT
fcis-15817	136	14	et	et	PROPN
fcis-15817	136	15	al	al	PROPN
fcis-15817	136	16	.	.	PUNCT
fcis-15817	136	17	shufflenet	shufflenet	PROPN
fcis-15817	136	18	v2	v2	PROPN
fcis-15817	136	19	:	:	PUNCT
fcis-15817	136	20	practical	practical	ADJ
fcis-15817	136	21	guidelines	guideline	NOUN
fcis-15817	136	22	for	for	ADP
fcis-15817	136	23	efficient	efficient	ADJ
fcis-15817	136	24	cnn	cnn	PROPN
fcis-15817	136	25	architecture	architecture	NOUN
fcis-15817	136	26	design[c]//	design[c]//	ADJ
fcis-15817	136	27	proceedings	proceeding	NOUN
fcis-15817	136	28	of	of	ADP
fcis-15817	136	29	the	the	DET
fcis-15817	136	30	european	european	PROPN
fcis-15817	136	31	conference	conference	PROPN
fcis-15817	136	32	on	on	ADP
fcis-15817	136	33	computer	computer	NOUN
fcis-15817	136	34	vision	vision	NOUN
fcis-15817	136	35	(	(	PUNCT
fcis-15817	136	36	eccv	eccv	ADV
fcis-15817	136	37	)	)	PUNCT
fcis-15817	136	38	.	.	PUNCT
fcis-15817	137	1	2018	2018	NUM
fcis-15817	137	2	:	:	PUNCT
fcis-15817	137	3	116	116	NUM
fcis-15817	137	4	-	-	SYM
fcis-15817	137	5	131	131	NUM
fcis-15817	137	6	.	.	PUNCT
fcis-15817	138	1	[	[	X
fcis-15817	138	2	11	11	NUM
fcis-15817	138	3	]	]	X
fcis-15817	138	4	shi	shi	PROPN
fcis-15817	138	5	b	b	PROPN
fcis-15817	138	6	,	,	PUNCT
fcis-15817	138	7	bai	bai	PROPN
fcis-15817	138	8	x	x	PROPN
fcis-15817	138	9	,	,	PUNCT
fcis-15817	138	10	yao	yao	PROPN
fcis-15817	138	11	c.	c.	PROPN
fcis-15817	138	12	an	an	DET
fcis-15817	138	13	end	end	NOUN
fcis-15817	138	14	-	-	PUNCT
fcis-15817	138	15	to	to	ADP
fcis-15817	138	16	-	-	PUNCT
fcis-15817	138	17	end	end	NOUN
fcis-15817	138	18	trainable	trainable	ADJ
fcis-15817	138	19	neural	neural	ADJ
fcis-15817	138	20	network	network	NOUN
fcis-15817	138	21	for	for	ADP
fcis-15817	138	22	image	image	NOUN
fcis-15817	138	23	-	-	PUNCT
fcis-15817	138	24	based	base	VERB
fcis-15817	138	25	sequence	sequence	NOUN
fcis-15817	138	26	recognition	recognition	NOUN
fcis-15817	138	27	and	and	CCONJ
fcis-15817	138	28	its	its	PRON
fcis-15817	138	29	application	application	NOUN
fcis-15817	138	30	to	to	PART
fcis-15817	138	31	scene	scene	VERB
fcis-15817	138	32	text	text	NOUN
fcis-15817	138	33	recognition[j	recognition[j	PROPN
fcis-15817	138	34	]	]	PUNCT
fcis-15817	138	35	.	.	PUNCT
fcis-15817	139	1	ieee	ieee	NOUN
fcis-15817	139	2	transactions	transaction	NOUN
fcis-15817	139	3	on	on	ADP
fcis-15817	139	4	pattern	pattern	NOUN
fcis-15817	139	5	analysis	analysis	NOUN
fcis-15817	139	6	and	and	CCONJ
fcis-15817	139	7	machine	machine	NOUN
fcis-15817	139	8	intelligence	intelligence	NOUN
fcis-15817	139	9	,	,	PUNCT
fcis-15817	139	10	2016	2016	NUM
fcis-15817	139	11	,	,	PUNCT
fcis-15817	139	12	39(11	39(11	NUM
fcis-15817	139	13	):	):	PUNCT
fcis-15817	139	14	2298	2298	NUM
fcis-15817	139	15	-	-	SYM
fcis-15817	139	16	2304	2304	NUM
fcis-15817	139	17	.	.	PUNCT
fcis-15817	140	1	[	[	X
fcis-15817	140	2	12	12	NUM
fcis-15817	140	3	]	]	AUX
fcis-15817	140	4	graves	grave	VERB
fcis-15817	140	5	a	a	PRON
fcis-15817	140	6	,	,	PUNCT
fcis-15817	140	7	fernández	fernández	PROPN
fcis-15817	140	8	s	s	PART
fcis-15817	140	9	,	,	PUNCT
fcis-15817	140	10	gomez	gomez	PROPN
fcis-15817	140	11	f	f	PROPN
fcis-15817	140	12	,	,	PUNCT
fcis-15817	140	13	et	et	PROPN
fcis-15817	140	14	al	al	PROPN
fcis-15817	140	15	.	.	PROPN
fcis-15817	140	16	connectionist	connectionist	NOUN
fcis-15817	140	17	temporal	temporal	ADJ
fcis-15817	140	18	classification	classification	NOUN
fcis-15817	140	19	:	:	PUNCT
fcis-15817	140	20	labelling	label	VERB
fcis-15817	140	21	unsegmented	unsegmente	VERB
fcis-15817	140	22	sequence	sequence	NOUN
fcis-15817	140	23	data	datum	NOUN
fcis-15817	140	24	with	with	ADP
fcis-15817	140	25	recurrent	recurrent	ADJ
fcis-15817	140	26	neural	neural	ADJ
fcis-15817	140	27	networks[c]//proceedings	networks[c]//proceeding	NOUN
fcis-15817	140	28	of	of	ADP
fcis-15817	140	29	the	the	DET
fcis-15817	140	30	23rd	23rd	ADJ
fcis-15817	140	31	international	international	ADJ
fcis-15817	140	32	conference	conference	NOUN
fcis-15817	140	33	on	on	ADP
fcis-15817	140	34	machine	machine	NOUN
fcis-15817	140	35	learning	learning	NOUN
fcis-15817	140	36	.	.	PUNCT
fcis-15817	141	1	2006	2006	NUM
fcis-15817	141	2	:	:	PUNCT
fcis-15817	141	3	369	369	NUM
fcis-15817	141	4	-	-	SYM
fcis-15817	141	5	376	376	NUM
fcis-15817	141	6	.	.	PUNCT