id	sid	tid	token	lemma	pos
fcis-13847	1	1	frontiers	frontier	NOUN
fcis-13847	1	2	in	in	ADP
fcis-13847	1	3	computing	computing	NOUN
fcis-13847	1	4	and	and	CCONJ
fcis-13847	1	5	intelligent	intelligent	ADJ
fcis-13847	1	6	systems	system	NOUN
fcis-13847	1	7	issn	issn	VERB
fcis-13847	1	8	:	:	PUNCT
fcis-13847	1	9	2832	2832	NUM
fcis-13847	1	10	-	-	SYM
fcis-13847	1	11	6024	6024	NUM
fcis-13847	1	12	|	|	NOUN
fcis-13847	1	13	vol	vol	NOUN
fcis-13847	1	14	.	.	PROPN
fcis-13847	2	1	5	5	NUM
fcis-13847	2	2	,	,	PUNCT
fcis-13847	2	3	no	no	INTJ
fcis-13847	2	4	.	.	NOUN
fcis-13847	2	5	3	3	NUM
fcis-13847	2	6	,	,	PUNCT
fcis-13847	2	7	2023	2023	NUM
fcis-13847	2	8	36	36	NUM
fcis-13847	2	9	object	object	NOUN
fcis-13847	2	10	detection	detection	NOUN
fcis-13847	2	11	for	for	ADP
fcis-13847	2	12	aircraft	aircraft	NOUN
fcis-13847	2	13	turnover	turnover	NOUN
fcis-13847	2	14	milestone	milestone	NOUN
fcis-13847	2	15	based	base	VERB
fcis-13847	2	16	on	on	ADP
fcis-13847	2	17	modified	modify	VERB
fcis-13847	2	18	qirui	qirui	PROPN
fcis-13847	2	19	jiang	jiang	PROPN
fcis-13847	2	20	*	*	PROPN
fcis-13847	2	21	,	,	PUNCT
fcis-13847	2	22	yuqi	yuqi	PROPN
fcis-13847	2	23	liu	liu	PROPN
fcis-13847	2	24	school	school	PROPN
fcis-13847	2	25	of	of	ADP
fcis-13847	2	26	software	software	NOUN
fcis-13847	2	27	engineering	engineering	PROPN
fcis-13847	2	28	,	,	PUNCT
fcis-13847	2	29	chengdu	chengdu	PROPN
fcis-13847	2	30	university	university	PROPN
fcis-13847	2	31	of	of	ADP
fcis-13847	2	32	information	information	NOUN
fcis-13847	2	33	technology	technology	PROPN
fcis-13847	2	34	,	,	PUNCT
fcis-13847	2	35	chengdu	chengdu	PROPN
fcis-13847	2	36	,	,	PUNCT
fcis-13847	2	37	sichuan	sichuan	PROPN
fcis-13847	2	38	,	,	PUNCT
fcis-13847	2	39	610225	610225	NUM
fcis-13847	2	40	,	,	PUNCT
fcis-13847	2	41	china	china	PROPN
fcis-13847	2	42	*	*	PUNCT
fcis-13847	2	43	corresponding	correspond	VERB
fcis-13847	2	44	author	author	NOUN
fcis-13847	2	45	:	:	PUNCT
fcis-13847	3	1	qirui	qirui	PROPN
fcis-13847	3	2	jiang	jiang	PROPN
fcis-13847	3	3	(	(	PUNCT
fcis-13847	3	4	email	email	NOUN
fcis-13847	3	5	:	:	PUNCT
fcis-13847	3	6	1037030742@foxmail.com	1037030742@foxmail.com	X
fcis-13847	3	7	)	)	PUNCT
fcis-13847	3	8	abstract	abstract	NOUN
fcis-13847	3	9	:	:	PUNCT
fcis-13847	3	10	in	in	ADP
fcis-13847	3	11	the	the	DET
fcis-13847	3	12	target	target	NOUN
fcis-13847	3	13	detection	detection	NOUN
fcis-13847	3	14	task	task	NOUN
fcis-13847	3	15	of	of	ADP
fcis-13847	3	16	aircraft	aircraft	NOUN
fcis-13847	3	17	turnaround	turnaround	NOUN
fcis-13847	3	18	milestone	milestone	NOUN
fcis-13847	3	19	in	in	ADP
fcis-13847	3	20	foggy	foggy	ADJ
fcis-13847	3	21	scenario	scenario	NOUN
fcis-13847	3	22	,	,	PUNCT
fcis-13847	3	23	there	there	PRON
fcis-13847	3	24	are	be	VERB
fcis-13847	3	25	some	some	DET
fcis-13847	3	26	problems	problem	NOUN
fcis-13847	3	27	such	such	ADJ
fcis-13847	3	28	as	as	ADP
fcis-13847	3	29	unstable	unstable	ADJ
fcis-13847	3	30	location	location	NOUN
fcis-13847	3	31	of	of	ADP
fcis-13847	3	32	prediction	prediction	NOUN
fcis-13847	3	33	frame	frame	NOUN
fcis-13847	3	34	boundary	boundary	NOUN
fcis-13847	3	35	,	,	PUNCT
fcis-13847	3	36	high	high	ADJ
fcis-13847	3	37	error	error	NOUN
fcis-13847	3	38	detection	detection	NOUN
fcis-13847	3	39	rate	rate	NOUN
fcis-13847	3	40	and	and	CCONJ
fcis-13847	3	41	poor	poor	ADJ
fcis-13847	3	42	detection	detection	NOUN
fcis-13847	3	43	effect	effect	NOUN
fcis-13847	3	44	of	of	ADP
fcis-13847	3	45	small	small	ADJ
fcis-13847	3	46	target	target	NOUN
fcis-13847	3	47	.	.	PUNCT
fcis-13847	4	1	a	a	DET
fcis-13847	4	2	new	new	ADJ
fcis-13847	4	3	target	target	NOUN
fcis-13847	4	4	detection	detection	NOUN
fcis-13847	4	5	method	method	NOUN
fcis-13847	4	6	btm	btm	PROPN
fcis-13847	4	7	-	-	PUNCT
fcis-13847	4	8	yolo	yolo	PROPN
fcis-13847	4	9	(	(	PUNCT
fcis-13847	4	10	broad	broad	ADV
fcis-13847	4	11	-	-	PUNCT
fcis-13847	4	12	sighted	sighted	ADJ
fcis-13847	4	13	upsample	upsample	NOUN
fcis-13847	4	14	and	and	CCONJ
fcis-13847	4	15	three	three	NUM
fcis-13847	4	16	-	-	PUNCT
fcis-13847	4	17	dimensional	dimensional	ADJ
fcis-13847	4	18	attention	attention	NOUN
fcis-13847	4	19	multiple	multiple	ADJ
fcis-13847	4	20	detection	detection	NOUN
fcis-13847	4	21	head	head	NOUN
fcis-13847	4	22	yolo	yolo	ADV
fcis-13847	4	23	)	)	PUNCT
fcis-13847	4	24	is	be	AUX
fcis-13847	4	25	proposed	propose	VERB
fcis-13847	4	26	,	,	PUNCT
fcis-13847	4	27	which	which	PRON
fcis-13847	4	28	is	be	AUX
fcis-13847	4	29	based	base	VERB
fcis-13847	4	30	on	on	ADP
fcis-13847	4	31	yolov7	yolov7	PROPN
fcis-13847	4	32	network	network	PROPN
fcis-13847	4	33	.	.	PUNCT
fcis-13847	5	1	add	add	VERB
fcis-13847	5	2	a	a	DET
fcis-13847	5	3	small	small	ADJ
fcis-13847	5	4	target	target	NOUN
fcis-13847	5	5	detection	detection	NOUN
fcis-13847	5	6	head	head	NOUN
fcis-13847	5	7	to	to	PART
fcis-13847	5	8	improve	improve	VERB
fcis-13847	5	9	the	the	DET
fcis-13847	5	10	ability	ability	NOUN
fcis-13847	5	11	of	of	ADP
fcis-13847	5	12	small	small	ADJ
fcis-13847	5	13	target	target	NOUN
fcis-13847	5	14	detection	detection	NOUN
fcis-13847	5	15	;	;	PUNCT
fcis-13847	5	16	the	the	DET
fcis-13847	5	17	up	up	ADV
fcis-13847	5	18	-	-	PUNCT
fcis-13847	5	19	sampling	sample	VERB
fcis-13847	5	20	module	module	NOUN
fcis-13847	5	21	ovrafe	ovrafe	NOUN
fcis-13847	5	22	is	be	AUX
fcis-13847	5	23	introduced	introduce	VERB
fcis-13847	5	24	to	to	PART
fcis-13847	5	25	reduce	reduce	VERB
fcis-13847	5	26	the	the	DET
fcis-13847	5	27	information	information	NOUN
fcis-13847	5	28	loss	loss	NOUN
fcis-13847	5	29	in	in	ADP
fcis-13847	5	30	the	the	DET
fcis-13847	5	31	up	up	ADV
fcis-13847	5	32	-	-	PUNCT
fcis-13847	5	33	sampling	sample	VERB
fcis-13847	5	34	process	process	NOUN
fcis-13847	5	35	.	.	PUNCT
fcis-13847	6	1	replace	replace	VERB
fcis-13847	6	2	ciou	ciou	NOUN
fcis-13847	6	3	with	with	ADP
fcis-13847	6	4	median	median	ADJ
fcis-13847	6	5	wise	wise	ADJ
fcis-13847	6	6	iou	iou	NOUN
fcis-13847	6	7	(	(	PUNCT
fcis-13847	6	8	mwiou	mwiou	NOUN
fcis-13847	6	9	)	)	PUNCT
fcis-13847	6	10	to	to	PART
fcis-13847	6	11	suppress	suppress	VERB
fcis-13847	6	12	the	the	DET
fcis-13847	6	13	problem	problem	NOUN
fcis-13847	6	14	of	of	ADP
fcis-13847	6	15	poor	poor	ADJ
fcis-13847	6	16	sample	sample	NOUN
fcis-13847	6	17	swelling	swell	VERB
fcis-13847	6	18	in	in	ADP
fcis-13847	6	19	data	datum	NOUN
fcis-13847	6	20	sets	set	NOUN
fcis-13847	6	21	.	.	PUNCT
fcis-13847	7	1	the	the	DET
fcis-13847	7	2	improved	improved	ADJ
fcis-13847	7	3	model	model	NOUN
fcis-13847	7	4	makes	make	VERB
fcis-13847	7	5	up	up	ADP
fcis-13847	7	6	for	for	ADP
fcis-13847	7	7	the	the	DET
fcis-13847	7	8	performance	performance	NOUN
fcis-13847	7	9	shortcomings	shortcoming	NOUN
fcis-13847	7	10	of	of	ADP
fcis-13847	7	11	small	small	ADJ
fcis-13847	7	12	target	target	NOUN
fcis-13847	7	13	detection	detection	NOUN
fcis-13847	7	14	in	in	ADP
fcis-13847	7	15	foggy	foggy	ADJ
fcis-13847	7	16	days	day	NOUN
fcis-13847	7	17	,	,	PUNCT
fcis-13847	7	18	and	and	CCONJ
fcis-13847	7	19	the	the	DET
fcis-13847	7	20	average	average	ADJ
fcis-13847	7	21	detection	detection	NOUN
fcis-13847	7	22	accuracy	accuracy	NOUN
fcis-13847	7	23	on	on	ADP
fcis-13847	7	24	the	the	DET
fcis-13847	7	25	real	real	ADJ
fcis-13847	7	26	foggy	foggy	ADJ
fcis-13847	7	27	day	day	NOUN
fcis-13847	7	28	test	test	NOUN
fcis-13847	7	29	set	set	NOUN
fcis-13847	7	30	is	be	AUX
fcis-13847	7	31	76.2	76.2	NUM
fcis-13847	7	32	%	%	NOUN
fcis-13847	7	33	,	,	PUNCT
fcis-13847	7	34	which	which	PRON
fcis-13847	7	35	is	be	AUX
fcis-13847	7	36	3.32	3.32	NUM
fcis-13847	7	37	%	%	NOUN
fcis-13847	7	38	higher	high	ADJ
fcis-13847	7	39	than	than	ADP
fcis-13847	7	40	that	that	PRON
fcis-13847	7	41	of	of	ADP
fcis-13847	7	42	the	the	DET
fcis-13847	7	43	original	original	ADJ
fcis-13847	7	44	model	model	NOUN
fcis-13847	7	45	,	,	PUNCT
fcis-13847	7	46	basically	basically	ADV
fcis-13847	7	47	meeting	meet	VERB
fcis-13847	7	48	the	the	DET
fcis-13847	7	49	task	task	NOUN
fcis-13847	7	50	requirements	requirement	NOUN
fcis-13847	7	51	.	.	PUNCT
fcis-13847	8	1	keywords	keyword	NOUN
fcis-13847	8	2	:	:	PUNCT
fcis-13847	8	3	object	object	VERB
fcis-13847	8	4	detection	detection	NOUN
fcis-13847	8	5	;	;	PUNCT
fcis-13847	8	6	haze	haze	NOUN
fcis-13847	8	7	environment	environment	NOUN
fcis-13847	8	8	;	;	PUNCT
fcis-13847	8	9	aircraft	aircraft	NOUN
fcis-13847	8	10	turnaround	turnaround	NOUN
fcis-13847	8	11	milestone	milestone	NOUN
fcis-13847	8	12	;	;	PUNCT
fcis-13847	8	13	yolov7	yolov7	NOUN
fcis-13847	8	14	;	;	PUNCT
fcis-13847	8	15	multiple	multiple	ADJ
fcis-13847	8	16	detection	detection	NOUN
fcis-13847	8	17	head	head	NOUN
fcis-13847	8	18	;	;	PUNCT
fcis-13847	8	19	attention	attention	NOUN
fcis-13847	8	20	mechanism	mechanism	NOUN
fcis-13847	8	21	.	.	PUNCT
fcis-13847	9	1	1	1	X
fcis-13847	9	2	.	.	X
fcis-13847	9	3	introduction	introduction	NOUN
fcis-13847	9	4	video	video	NOUN
fcis-13847	9	5	analysis	analysis	NOUN
fcis-13847	9	6	is	be	AUX
fcis-13847	9	7	an	an	DET
fcis-13847	9	8	important	important	ADJ
fcis-13847	9	9	means	mean	NOUN
fcis-13847	9	10	to	to	PART
fcis-13847	9	11	ensure	ensure	VERB
fcis-13847	9	12	the	the	DET
fcis-13847	9	13	normal	normal	ADJ
fcis-13847	9	14	operation	operation	NOUN
fcis-13847	9	15	of	of	ADP
fcis-13847	9	16	all	all	DET
fcis-13847	9	17	aspects	aspect	NOUN
fcis-13847	9	18	of	of	ADP
fcis-13847	9	19	the	the	DET
fcis-13847	9	20	airport	airport	NOUN
fcis-13847	9	21	,	,	PUNCT
fcis-13847	9	22	and	and	CCONJ
fcis-13847	9	23	the	the	DET
fcis-13847	9	24	aircraft	aircraft	NOUN
fcis-13847	9	25	turnaround	turnaround	NOUN
fcis-13847	9	26	milestone	milestone	NOUN
fcis-13847	9	27	is	be	AUX
fcis-13847	9	28	completed	complete	VERB
fcis-13847	9	29	by	by	ADP
fcis-13847	9	30	real	real	ADJ
fcis-13847	9	31	-	-	PUNCT
fcis-13847	9	32	time	time	NOUN
fcis-13847	9	33	monitoring	monitoring	NOUN
fcis-13847	9	34	of	of	ADP
fcis-13847	9	35	the	the	DET
fcis-13847	9	36	tarmac	tarmac	NOUN
fcis-13847	9	37	monitoring	monitoring	NOUN
fcis-13847	9	38	,	,	PUNCT
fcis-13847	9	39	which	which	PRON
fcis-13847	9	40	has	have	AUX
fcis-13847	9	41	been	be	AUX
fcis-13847	9	42	transformed	transform	VERB
fcis-13847	9	43	from	from	ADP
fcis-13847	9	44	traditional	traditional	ADJ
fcis-13847	9	45	manual	manual	NOUN
fcis-13847	9	46	to	to	AUX
fcis-13847	9	47	automatic	automatic	ADJ
fcis-13847	9	48	.	.	PUNCT
fcis-13847	10	1	the	the	DET
fcis-13847	10	2	biggest	big	ADJ
fcis-13847	10	3	change	change	NOUN
fcis-13847	10	4	is	be	AUX
fcis-13847	10	5	that	that	SCONJ
fcis-13847	10	6	the	the	DET
fcis-13847	10	7	use	use	NOUN
fcis-13847	10	8	of	of	ADP
fcis-13847	10	9	a	a	DET
fcis-13847	10	10	breakthrough	breakthrough	NOUN
fcis-13847	10	11	target	target	NOUN
fcis-13847	10	12	detection	detection	NOUN
fcis-13847	10	13	algorithm	algorithm	NOUN
fcis-13847	10	14	based	base	VERB
fcis-13847	10	15	on	on	ADP
fcis-13847	10	16	deep	deep	ADJ
fcis-13847	10	17	neural	neural	ADJ
fcis-13847	10	18	network	network	NOUN
fcis-13847	10	19	has	have	AUX
fcis-13847	10	20	been	be	AUX
fcis-13847	10	21	tried	try	VERB
fcis-13847	10	22	to	to	PART
fcis-13847	10	23	replace	replace	VERB
fcis-13847	10	24	manual	manual	ADJ
fcis-13847	10	25	work	work	NOUN
fcis-13847	10	26	and	and	CCONJ
fcis-13847	10	27	has	have	AUX
fcis-13847	10	28	achieved	achieve	VERB
fcis-13847	10	29	certain	certain	ADJ
fcis-13847	10	30	results	result	NOUN
fcis-13847	10	31	.	.	PUNCT
fcis-13847	11	1	the	the	DET
fcis-13847	11	2	aircraft	aircraft	NOUN
fcis-13847	11	3	turnaround	turnaround	NOUN
fcis-13847	11	4	milestone	milestone	NOUN
fcis-13847	11	5	is	be	AUX
fcis-13847	11	6	applied	apply	VERB
fcis-13847	11	7	to	to	ADP
fcis-13847	11	8	different	different	ADJ
fcis-13847	11	9	links	link	NOUN
fcis-13847	11	10	of	of	ADP
fcis-13847	11	11	the	the	DET
fcis-13847	11	12	whole	whole	ADJ
fcis-13847	11	13	flight	flight	NOUN
fcis-13847	11	14	process	process	NOUN
fcis-13847	11	15	,	,	PUNCT
fcis-13847	11	16	and	and	CCONJ
fcis-13847	11	17	it	it	PRON
fcis-13847	11	18	is	be	AUX
fcis-13847	11	19	particularly	particularly	ADV
fcis-13847	11	20	important	important	ADJ
fcis-13847	11	21	to	to	PART
fcis-13847	11	22	guarantee	guarantee	VERB
fcis-13847	11	23	multiple	multiple	ADJ
fcis-13847	11	24	nodes	node	NOUN
fcis-13847	11	25	such	such	ADJ
fcis-13847	11	26	as	as	ADP
fcis-13847	11	27	water	water	NOUN
fcis-13847	11	28	truck	truck	NOUN
fcis-13847	11	29	entry	entry	NOUN
fcis-13847	11	30	,	,	PUNCT
fcis-13847	11	31	loading	loading	NOUN
fcis-13847	11	32	bridge	bridge	NOUN
fcis-13847	11	33	entry	entry	NOUN
fcis-13847	11	34	and	and	CCONJ
fcis-13847	11	35	follow	follow	VERB
fcis-13847	11	36	me	i	PRON
fcis-13847	11	37	car	car	NOUN
fcis-13847	11	38	entry	entry	NOUN
fcis-13847	11	39	during	during	ADP
fcis-13847	11	40	the	the	DET
fcis-13847	11	41	period	period	NOUN
fcis-13847	11	42	before	before	ADP
fcis-13847	11	43	take	take	NOUN
fcis-13847	11	44	-	-	PUNCT
fcis-13847	11	45	off	off	NOUN
fcis-13847	11	46	and	and	CCONJ
fcis-13847	11	47	after	after	ADP
fcis-13847	11	48	landing	land	VERB
fcis-13847	11	49	.	.	PUNCT
fcis-13847	12	1	most	most	ADJ
fcis-13847	12	2	of	of	ADP
fcis-13847	12	3	the	the	DET
fcis-13847	12	4	existing	exist	VERB
fcis-13847	12	5	target	target	NOUN
fcis-13847	12	6	detection	detection	NOUN
fcis-13847	12	7	studies	study	NOUN
fcis-13847	12	8	on	on	ADP
fcis-13847	12	9	airport	airport	NOUN
fcis-13847	12	10	targets	target	NOUN
fcis-13847	12	11	mainly	mainly	ADV
fcis-13847	12	12	focus	focus	VERB
fcis-13847	12	13	on	on	ADP
fcis-13847	12	14	ideal	ideal	ADJ
fcis-13847	12	15	images	image	NOUN
fcis-13847	12	16	,	,	PUNCT
fcis-13847	12	17	while	while	SCONJ
fcis-13847	12	18	the	the	DET
fcis-13847	12	19	target	target	NOUN
fcis-13847	12	20	detection	detection	NOUN
fcis-13847	12	21	studies	study	NOUN
fcis-13847	12	22	in	in	ADP
fcis-13847	12	23	harsh	harsh	ADJ
fcis-13847	12	24	environments	environment	NOUN
fcis-13847	12	25	such	such	ADJ
fcis-13847	12	26	as	as	ADP
fcis-13847	12	27	haze	haze	NOUN
fcis-13847	12	28	weather	weather	NOUN
fcis-13847	12	29	are	be	AUX
fcis-13847	12	30	mostly	mostly	ADV
fcis-13847	12	31	seen	see	VERB
fcis-13847	12	32	in	in	ADP
fcis-13847	12	33	other	other	ADJ
fcis-13847	12	34	common	common	ADJ
fcis-13847	12	35	scenes	scene	NOUN
fcis-13847	12	36	such	such	ADJ
fcis-13847	12	37	as	as	ADP
fcis-13847	12	38	road	road	NOUN
fcis-13847	12	39	vehicles	vehicle	NOUN
fcis-13847	12	40	,	,	PUNCT
fcis-13847	12	41	pedestrians	pedestrian	NOUN
fcis-13847	12	42	,	,	PUNCT
fcis-13847	12	43	traffic	traffic	NOUN
fcis-13847	12	44	signs	sign	NOUN
fcis-13847	12	45	,	,	PUNCT
fcis-13847	12	46	etc	etc	X
fcis-13847	12	47	.	.	X
fcis-13847	13	1	the	the	DET
fcis-13847	13	2	research	research	NOUN
fcis-13847	13	3	on	on	ADP
fcis-13847	13	4	ground	ground	NOUN
fcis-13847	13	5	target	target	NOUN
fcis-13847	13	6	detection	detection	NOUN
fcis-13847	13	7	in	in	ADP
fcis-13847	13	8	civil	civil	ADJ
fcis-13847	13	9	airports	airport	NOUN
fcis-13847	13	10	under	under	ADP
fcis-13847	13	11	haze	haze	NOUN
fcis-13847	13	12	weather	weather	NOUN
fcis-13847	13	13	is	be	AUX
fcis-13847	13	14	still	still	ADV
fcis-13847	13	15	vacant	vacant	ADJ
fcis-13847	13	16	.	.	PUNCT
fcis-13847	14	1	this	this	DET
fcis-13847	14	2	research	research	NOUN
fcis-13847	14	3	is	be	AUX
fcis-13847	14	4	part	part	NOUN
fcis-13847	14	5	of	of	ADP
fcis-13847	14	6	the	the	DET
fcis-13847	14	7	optimization	optimization	NOUN
fcis-13847	14	8	project	project	NOUN
fcis-13847	14	9	of	of	ADP
fcis-13847	14	10	video	video	NOUN
fcis-13847	14	11	analysis	analysis	NOUN
fcis-13847	14	12	support	support	NOUN
fcis-13847	14	13	node	node	VERB
fcis-13847	14	14	automatic	automatic	ADJ
fcis-13847	14	15	acquisition	acquisition	NOUN
fcis-13847	14	16	technology	technology	NOUN
fcis-13847	14	17	of	of	ADP
fcis-13847	14	18	civil	civil	ADJ
fcis-13847	14	19	aviation	aviation	NOUN
fcis-13847	14	20	research	research	PROPN
fcis-13847	14	21	institute	institute	PROPN
fcis-13847	14	22	.	.	PUNCT
fcis-13847	15	1	the	the	DET
fcis-13847	15	2	main	main	ADJ
fcis-13847	15	3	purpose	purpose	NOUN
fcis-13847	15	4	of	of	ADP
fcis-13847	15	5	the	the	DET
fcis-13847	15	6	whole	whole	ADJ
fcis-13847	15	7	work	work	NOUN
fcis-13847	15	8	process	process	NOUN
fcis-13847	15	9	from	from	ADP
fcis-13847	15	10	flight	flight	NOUN
fcis-13847	15	11	landing	landing	NOUN
fcis-13847	15	12	to	to	PART
fcis-13847	15	13	take	take	VERB
fcis-13847	15	14	-	-	PUNCT
fcis-13847	15	15	off	off	NOUN
fcis-13847	15	16	is	be	AUX
fcis-13847	15	17	to	to	PART
fcis-13847	15	18	make	make	VERB
fcis-13847	15	19	up	up	ADP
fcis-13847	15	20	for	for	ADP
fcis-13847	15	21	the	the	DET
fcis-13847	15	22	shortcomings	shortcoming	NOUN
fcis-13847	15	23	of	of	ADP
fcis-13847	15	24	the	the	DET
fcis-13847	15	25	target	target	NOUN
fcis-13847	15	26	recognition	recognition	NOUN
fcis-13847	15	27	of	of	ADP
fcis-13847	15	28	this	this	DET
fcis-13847	15	29	technology	technology	NOUN
fcis-13847	15	30	in	in	ADP
fcis-13847	15	31	the	the	DET
fcis-13847	15	32	work	work	NOUN
fcis-13847	15	33	process	process	NOUN
fcis-13847	15	34	,	,	PUNCT
fcis-13847	15	35	improve	improve	VERB
fcis-13847	15	36	the	the	DET
fcis-13847	15	37	shortcomings	shortcoming	NOUN
fcis-13847	15	38	of	of	ADP
fcis-13847	15	39	poor	poor	ADJ
fcis-13847	15	40	target	target	NOUN
fcis-13847	15	41	recognition	recognition	NOUN
fcis-13847	15	42	in	in	ADP
fcis-13847	15	43	fog	fog	PROPN
fcis-13847	15	44	-	-	PUNCT
fcis-13847	15	45	day	day	NOUN
fcis-13847	15	46	scenarios	scenario	NOUN
fcis-13847	15	47	,	,	PUNCT
fcis-13847	15	48	and	and	CCONJ
fcis-13847	15	49	lay	lie	VERB
fcis-13847	15	50	the	the	DET
fcis-13847	15	51	groundwork	groundwork	NOUN
fcis-13847	15	52	for	for	ADP
fcis-13847	15	53	further	further	ADJ
fcis-13847	15	54	work	work	NOUN
fcis-13847	15	55	.	.	PUNCT
fcis-13847	16	1	keep	keep	VERB
fcis-13847	16	2	the	the	DET
fcis-13847	16	3	project	project	NOUN
fcis-13847	16	4	moving	move	VERB
fcis-13847	16	5	forward	forward	ADV
fcis-13847	16	6	.	.	PUNCT
fcis-13847	17	1	2	2	X
fcis-13847	17	2	.	.	X
fcis-13847	17	3	background	background	NOUN
fcis-13847	17	4	and	and	CCONJ
fcis-13847	17	5	motivation	motivation	NOUN
fcis-13847	17	6	since	since	SCONJ
fcis-13847	17	7	the	the	DET
fcis-13847	17	8	introduction	introduction	NOUN
fcis-13847	17	9	of	of	ADP
fcis-13847	17	10	deep	deep	ADJ
fcis-13847	17	11	learning	learning	NOUN
fcis-13847	17	12	,	,	PUNCT
fcis-13847	17	13	object	object	VERB
fcis-13847	17	14	detection	detection	NOUN
fcis-13847	17	15	algorithms	algorithm	NOUN
fcis-13847	17	16	can	can	AUX
fcis-13847	17	17	be	be	AUX
fcis-13847	17	18	divided	divide	VERB
fcis-13847	17	19	into	into	ADP
fcis-13847	17	20	traditional	traditional	ADJ
fcis-13847	17	21	and	and	CCONJ
fcis-13847	17	22	deep	deep	ADJ
fcis-13847	17	23	learningbased	learningbase	VERB
fcis-13847	17	24	algorithms	algorithm	NOUN
fcis-13847	17	25	.	.	PUNCT
fcis-13847	18	1	the	the	DET
fcis-13847	18	2	main	main	ADJ
fcis-13847	18	3	features	feature	NOUN
fcis-13847	18	4	of	of	ADP
fcis-13847	18	5	traditional	traditional	ADJ
fcis-13847	18	6	algorithms	algorithm	NOUN
fcis-13847	18	7	include	include	VERB
fcis-13847	18	8	artificially	artificially	ADV
fcis-13847	18	9	designed	design	VERB
fcis-13847	18	10	object	object	NOUN
fcis-13847	18	11	features	feature	NOUN
fcis-13847	18	12	,	,	PUNCT
fcis-13847	18	13	sliding	slide	VERB
fcis-13847	18	14	window	window	NOUN
fcis-13847	18	15	mechanism	mechanism	NOUN
fcis-13847	18	16	to	to	PART
fcis-13847	18	17	extract	extract	VERB
fcis-13847	18	18	features	feature	NOUN
fcis-13847	18	19	,	,	PUNCT
fcis-13847	18	20	and	and	CCONJ
fcis-13847	18	21	traditional	traditional	ADJ
fcis-13847	18	22	classifiers	classifier	NOUN
fcis-13847	18	23	with	with	ADP
fcis-13847	18	24	cumbersome	cumbersome	ADJ
fcis-13847	18	25	steps	step	NOUN
fcis-13847	18	26	.	.	PUNCT
fcis-13847	19	1	the	the	DET
fcis-13847	19	2	main	main	ADJ
fcis-13847	19	3	feature	feature	NOUN
fcis-13847	19	4	of	of	ADP
fcis-13847	19	5	the	the	DET
fcis-13847	19	6	detection	detection	NOUN
fcis-13847	19	7	algorithm	algorithm	NOUN
fcis-13847	19	8	based	base	VERB
fcis-13847	19	9	on	on	ADP
fcis-13847	19	10	deep	deep	ADJ
fcis-13847	19	11	learning	learning	NOUN
fcis-13847	19	12	is	be	AUX
fcis-13847	19	13	that	that	SCONJ
fcis-13847	19	14	it	it	PRON
fcis-13847	19	15	is	be	AUX
fcis-13847	19	16	based	base	VERB
fcis-13847	19	17	on	on	ADP
fcis-13847	19	18	the	the	DET
fcis-13847	19	19	characteristics	characteristic	NOUN
fcis-13847	19	20	of	of	ADP
fcis-13847	19	21	deep	deep	ADJ
fcis-13847	19	22	network	network	NOUN
fcis-13847	19	23	learning	learning	NOUN
fcis-13847	19	24	,	,	PUNCT
fcis-13847	19	25	the	the	DET
fcis-13847	19	26	target	target	NOUN
fcis-13847	19	27	selection	selection	NOUN
fcis-13847	19	28	is	be	AUX
fcis-13847	19	29	based	base	VERB
fcis-13847	19	30	on	on	ADP
fcis-13847	19	31	candidate	candidate	NOUN
fcis-13847	19	32	box	box	NOUN
fcis-13847	19	33	or	or	CCONJ
fcis-13847	19	34	direct	direct	ADJ
fcis-13847	19	35	regression	regression	NOUN
fcis-13847	19	36	,	,	PUNCT
fcis-13847	19	37	and	and	CCONJ
fcis-13847	19	38	relies	rely	VERB
fcis-13847	19	39	on	on	ADP
fcis-13847	19	40	deep	deep	ADJ
fcis-13847	19	41	network	network	NOUN
fcis-13847	19	42	classification	classification	NOUN
fcis-13847	19	43	.	.	PUNCT
fcis-13847	20	1	according	accord	VERB
fcis-13847	20	2	to	to	ADP
fcis-13847	20	3	the	the	DET
fcis-13847	20	4	steps	step	NOUN
fcis-13847	20	5	,	,	PUNCT
fcis-13847	20	6	the	the	DET
fcis-13847	20	7	deep	deep	ADJ
fcis-13847	20	8	learning	learning	NOUN
fcis-13847	20	9	based	base	VERB
fcis-13847	20	10	target	target	NOUN
fcis-13847	20	11	detection	detection	NOUN
fcis-13847	20	12	network	network	NOUN
fcis-13847	20	13	can	can	AUX
fcis-13847	20	14	be	be	AUX
fcis-13847	20	15	divided	divide	VERB
fcis-13847	20	16	into	into	ADP
fcis-13847	20	17	one	one	NUM
fcis-13847	20	18	-	-	PUNCT
fcis-13847	20	19	stage	stage	NOUN
fcis-13847	20	20	direct	direct	ADJ
fcis-13847	20	21	regression	regression	NOUN
fcis-13847	20	22	to	to	ADP
fcis-13847	20	23	the	the	DET
fcis-13847	20	24	target	target	NOUN
fcis-13847	20	25	class	class	NOUN
fcis-13847	20	26	and	and	CCONJ
fcis-13847	20	27	two	two	NUM
fcis-13847	20	28	-	-	PUNCT
fcis-13847	20	29	stage	stage	NOUN
fcis-13847	20	30	pre	pre	ADJ
fcis-13847	20	31	-	-	ADJ
fcis-13847	20	32	generated	generated	ADJ
fcis-13847	20	33	candidate	candidate	NOUN
fcis-13847	20	34	box	box	NOUN
fcis-13847	20	35	and	and	CCONJ
fcis-13847	20	36	then	then	ADV
fcis-13847	20	37	predicted	predict	VERB
fcis-13847	20	38	.	.	PUNCT
fcis-13847	21	1	in	in	ADP
fcis-13847	21	2	recent	recent	ADJ
fcis-13847	21	3	years	year	NOUN
fcis-13847	21	4	,	,	PUNCT
fcis-13847	21	5	the	the	DET
fcis-13847	21	6	singlestage	singlestage	NOUN
fcis-13847	21	7	detection	detection	NOUN
fcis-13847	21	8	algorithm	algorithm	NOUN
fcis-13847	21	9	is	be	AUX
fcis-13847	21	10	represented	represent	VERB
fcis-13847	21	11	by	by	ADP
fcis-13847	21	12	yolo	yolo	ADJ
fcis-13847	21	13	series	series	NOUN
fcis-13847	21	14	.	.	PUNCT
fcis-13847	22	1	classical	classical	ADJ
fcis-13847	22	2	methods	method	NOUN
fcis-13847	22	3	include	include	VERB
fcis-13847	22	4	yolov3	yolov3	PROPN
fcis-13847	22	5	,	,	PUNCT
fcis-13847	22	6	yolox[1	yolox[1	PROPN
fcis-13847	22	7	]	]	PUNCT
fcis-13847	22	8	,	,	PUNCT
fcis-13847	22	9	yolov7	yolov7	NOUN
fcis-13847	23	1	[	[	X
fcis-13847	23	2	2	2	NUM
fcis-13847	23	3	]	]	PUNCT
fcis-13847	23	4	,	,	PUNCT
fcis-13847	23	5	etc	etc	X
fcis-13847	23	6	.	.	X
fcis-13847	23	7	,	,	PUNCT
fcis-13847	23	8	which	which	PRON
fcis-13847	23	9	directly	directly	ADV
fcis-13847	23	10	carry	carry	VERB
fcis-13847	23	11	out	out	ADP
fcis-13847	23	12	the	the	DET
fcis-13847	23	13	detection	detection	NOUN
fcis-13847	23	14	task	task	NOUN
fcis-13847	23	15	as	as	ADP
fcis-13847	23	16	a	a	DET
fcis-13847	23	17	regression	regression	NOUN
fcis-13847	23	18	task	task	NOUN
fcis-13847	23	19	.	.	PUNCT
fcis-13847	24	1	the	the	DET
fcis-13847	24	2	two	two	NUM
fcis-13847	24	3	-	-	PUNCT
fcis-13847	24	4	stage	stage	NOUN
fcis-13847	24	5	detection	detection	NOUN
fcis-13847	24	6	method	method	NOUN
fcis-13847	24	7	generates	generate	VERB
fcis-13847	24	8	a	a	DET
fcis-13847	24	9	certain	certain	ADJ
fcis-13847	24	10	number	number	NOUN
fcis-13847	24	11	of	of	ADP
fcis-13847	24	12	candidate	candidate	NOUN
fcis-13847	24	13	boxes	box	NOUN
fcis-13847	24	14	and	and	CCONJ
fcis-13847	24	15	then	then	ADV
fcis-13847	24	16	conducts	conduct	VERB
fcis-13847	24	17	the	the	DET
fcis-13847	24	18	detection	detection	NOUN
fcis-13847	24	19	,	,	PUNCT
fcis-13847	24	20	such	such	ADJ
fcis-13847	24	21	as	as	ADP
fcis-13847	24	22	the	the	DET
fcis-13847	24	23	classic	classic	ADJ
fcis-13847	24	24	rcnn	rcnn	NOUN
fcis-13847	24	25	,	,	PUNCT
fcis-13847	24	26	fast	fast	ADJ
fcis-13847	24	27	r	r	NOUN
fcis-13847	24	28	-	-	PUNCT
fcis-13847	24	29	cnn	cnn	PROPN
fcis-13847	24	30	,	,	PUNCT
fcis-13847	24	31	faster	fast	ADV
fcis-13847	24	32	rrcnn[3	rrcnn[3	PROPN
fcis-13847	24	33	]	]	PUNCT
fcis-13847	24	34	,	,	PUNCT
fcis-13847	24	35	etc	etc	X
fcis-13847	24	36	.	.	X
fcis-13847	24	37	for	for	ADP
fcis-13847	24	38	example	example	NOUN
fcis-13847	24	39	,	,	PUNCT
fcis-13847	24	40	huang	huang	PROPN
fcis-13847	24	41	et	et	PROPN
fcis-13847	24	42	al.[4	al.[4	PROPN
fcis-13847	24	43	]	]	PUNCT
fcis-13847	24	44	,	,	PUNCT
fcis-13847	24	45	who	who	PRON
fcis-13847	24	46	adopted	adopt	VERB
fcis-13847	24	47	the	the	DET
fcis-13847	24	48	single	single	ADJ
fcis-13847	24	49	-	-	PUNCT
fcis-13847	24	50	stage	stage	NOUN
fcis-13847	24	51	detection	detection	NOUN
fcis-13847	24	52	method	method	NOUN
fcis-13847	24	53	,	,	PUNCT
fcis-13847	24	54	combined	combine	VERB
fcis-13847	24	55	the	the	DET
fcis-13847	24	56	improved	improved	ADJ
fcis-13847	24	57	ssd	ssd	NOUN
fcis-13847	24	58	algorithm	algorithm	NOUN
fcis-13847	24	59	with	with	ADP
fcis-13847	24	60	the	the	DET
fcis-13847	24	61	feature	feature	NOUN
fcis-13847	24	62	pyramid	pyramid	NOUN
fcis-13847	24	63	fusion	fusion	NOUN
fcis-13847	24	64	network	network	NOUN
fcis-13847	24	65	to	to	PART
fcis-13847	24	66	improve	improve	VERB
fcis-13847	24	67	the	the	DET
fcis-13847	24	68	multi	multi	ADJ
fcis-13847	24	69	-	-	ADJ
fcis-13847	24	70	scale	scale	ADJ
fcis-13847	24	71	target	target	NOUN
fcis-13847	24	72	detection	detection	NOUN
fcis-13847	24	73	performance	performance	NOUN
fcis-13847	24	74	of	of	ADP
fcis-13847	24	75	the	the	DET
fcis-13847	24	76	detection	detection	NOUN
fcis-13847	24	77	algorithm	algorithm	NOUN
fcis-13847	24	78	.	.	PUNCT
fcis-13847	25	1	in	in	ADP
fcis-13847	25	2	the	the	DET
fcis-13847	25	3	detection	detection	NOUN
fcis-13847	25	4	of	of	ADP
fcis-13847	25	5	personnel	personnel	NOUN
fcis-13847	25	6	in	in	ADP
fcis-13847	25	7	the	the	DET
fcis-13847	25	8	tarmac	tarmac	NOUN
fcis-13847	25	9	area	area	NOUN
fcis-13847	25	10	,	,	PUNCT
fcis-13847	25	11	wang	wang	PROPN
fcis-13847	25	12	et	et	PROPN
fcis-13847	25	13	al.[5	al.[5	PROPN
fcis-13847	25	14	]	]	PUNCT
fcis-13847	25	15	combined	combined	ADJ
fcis-13847	25	16	ghost	ghost	NOUN
fcis-13847	25	17	-	-	PUNCT
fcis-13847	25	18	net	net	ADJ
fcis-13847	25	19	network	network	NOUN
fcis-13847	25	20	with	with	ADP
fcis-13847	25	21	yolov3	yolov3	PROPN
fcis-13847	25	22	algorithm	algorithm	PROPN
fcis-13847	25	23	and	and	CCONJ
fcis-13847	25	24	added	add	VERB
fcis-13847	25	25	se	se	PROPN
fcis-13847	25	26	attention	attention	NOUN
fcis-13847	25	27	mechanism	mechanism	NOUN
fcis-13847	25	28	to	to	PART
fcis-13847	25	29	improve	improve	VERB
fcis-13847	25	30	the	the	DET
fcis-13847	25	31	algorithm	algorithm	NOUN
fcis-13847	25	32	's	's	PART
fcis-13847	25	33	ability	ability	NOUN
fcis-13847	25	34	to	to	PART
fcis-13847	25	35	extract	extract	VERB
fcis-13847	25	36	important	important	ADJ
fcis-13847	25	37	features	feature	NOUN
fcis-13847	25	38	.	.	PUNCT
fcis-13847	26	1	in	in	ADP
fcis-13847	26	2	addition	addition	NOUN
fcis-13847	26	3	,	,	PUNCT
fcis-13847	26	4	convolution	convolution	NOUN
fcis-13847	26	5	layer	layer	NOUN
fcis-13847	26	6	and	and	CCONJ
fcis-13847	26	7	normalization	normalization	NOUN
fcis-13847	26	8	layer	layer	NOUN
fcis-13847	26	9	are	be	AUX
fcis-13847	26	10	combined	combine	VERB
fcis-13847	26	11	to	to	PART
fcis-13847	26	12	reduce	reduce	VERB
fcis-13847	26	13	the	the	DET
fcis-13847	26	14	number	number	NOUN
fcis-13847	26	15	of	of	ADP
fcis-13847	26	16	parameters	parameter	NOUN
fcis-13847	26	17	.	.	PUNCT
fcis-13847	27	1	based	base	VERB
fcis-13847	27	2	on	on	ADP
fcis-13847	27	3	the	the	DET
fcis-13847	27	4	yolov3	yolov3	PROPN
fcis-13847	27	5	algorithm	algorithm	PROPN
fcis-13847	27	6	,	,	PUNCT
fcis-13847	27	7	xia	xia	PROPN
fcis-13847	27	8	et	et	PROPN
fcis-13847	27	9	al.[6	al.[6	PROPN
fcis-13847	27	10	]	]	PUNCT
fcis-13847	27	11	replaced	replace	VERB
fcis-13847	27	12	the	the	DET
fcis-13847	27	13	original	original	ADJ
fcis-13847	27	14	convolutional	convolutional	ADJ
fcis-13847	27	15	module	module	NOUN
fcis-13847	27	16	with	with	ADP
fcis-13847	27	17	the	the	DET
fcis-13847	27	18	depth	depth	NOUN
fcis-13847	27	19	-	-	PUNCT
fcis-13847	27	20	separable	separable	NOUN
fcis-13847	27	21	convolutional	convolutional	ADJ
fcis-13847	27	22	module	module	NOUN
fcis-13847	27	23	,	,	PUNCT
fcis-13847	27	24	and	and	CCONJ
fcis-13847	27	25	replaced	replace	VERB
fcis-13847	27	26	the	the	DET
fcis-13847	27	27	original	original	ADJ
fcis-13847	27	28	intersection	intersection	NOUN
fcis-13847	27	29	ratio	ratio	NOUN
fcis-13847	27	30	loss	loss	NOUN
fcis-13847	27	31	function	function	NOUN
fcis-13847	27	32	with	with	ADP
fcis-13847	27	33	the	the	DET
fcis-13847	27	34	distance	distance	NOUN
fcis-13847	27	35	-	-	PUNCT
fcis-13847	27	36	based	base	VERB
fcis-13847	27	37	loss	loss	NOUN
fcis-13847	27	38	function	function	NOUN
fcis-13847	27	39	diou	diou	NOUN
fcis-13847	27	40	to	to	PART
fcis-13847	27	41	improve	improve	VERB
fcis-13847	27	42	the	the	DET
fcis-13847	27	43	detection	detection	NOUN
fcis-13847	27	44	speed	speed	NOUN
fcis-13847	27	45	and	and	CCONJ
fcis-13847	27	46	accuracy	accuracy	NOUN
fcis-13847	27	47	of	of	ADP
fcis-13847	27	48	the	the	DET
fcis-13847	27	49	algorithm	algorithm	NOUN
fcis-13847	27	50	for	for	ADP
fcis-13847	27	51	targets	target	NOUN
fcis-13847	27	52	in	in	ADP
fcis-13847	27	53	the	the	DET
fcis-13847	27	54	airport	airport	NOUN
fcis-13847	27	55	.	.	PUNCT
fcis-13847	28	1	based	base	VERB
fcis-13847	28	2	on	on	ADP
fcis-13847	28	3	the	the	DET
fcis-13847	28	4	yolo	yolo	ADJ
fcis-13847	28	5	v5	v5	PROPN
fcis-13847	28	6	algorithm	algorithm	NOUN
fcis-13847	28	7	,	,	PUNCT
fcis-13847	28	8	yi	yi	PROPN
fcis-13847	28	9	et	et	NOUN
fcis-13847	28	10	al.[7	al.[7	PROPN
fcis-13847	28	11	]	]	PUNCT
fcis-13847	28	12	reduced	reduce	VERB
fcis-13847	28	13	the	the	DET
fcis-13847	28	14	depth	depth	NOUN
fcis-13847	28	15	of	of	ADP
fcis-13847	28	16	the	the	DET
fcis-13847	28	17	feature	feature	NOUN
fcis-13847	28	18	pyramid	pyramid	NOUN
fcis-13847	28	19	and	and	CCONJ
fcis-13847	28	20	limited	limit	VERB
fcis-13847	28	21	the	the	DET
fcis-13847	28	22	maximum	maximum	ADJ
fcis-13847	28	23	downsampling	downsample	VERB
fcis-13847	28	24	multiple	multiple	NOUN
fcis-13847	28	25	to	to	PART
fcis-13847	28	26	solve	solve	VERB
fcis-13847	28	27	the	the	DET
fcis-13847	28	28	problem	problem	NOUN
fcis-13847	28	29	of	of	ADP
fcis-13847	28	30	difficult	difficult	ADJ
fcis-13847	28	31	identification	identification	NOUN
fcis-13847	28	32	of	of	ADP
fcis-13847	28	33	small	small	ADJ
fcis-13847	28	34	targets	target	NOUN
fcis-13847	28	35	.	.	PUNCT
fcis-13847	29	1	in	in	ADP
fcis-13847	29	2	addition	addition	NOUN
fcis-13847	29	3	,	,	PUNCT
fcis-13847	29	4	by	by	ADP
fcis-13847	29	5	adjusting	adjust	VERB
fcis-13847	29	6	the	the	DET
fcis-13847	29	7	depth	depth	NOUN
fcis-13847	29	8	of	of	ADP
fcis-13847	29	9	feature	feature	NOUN
fcis-13847	29	10	transmission	transmission	NOUN
fcis-13847	29	11	of	of	ADP
fcis-13847	29	12	the	the	DET
fcis-13847	29	13	residual	residual	ADJ
fcis-13847	29	14	module	module	NOUN
fcis-13847	29	15	,	,	PUNCT
fcis-13847	29	16	the	the	DET
fcis-13847	29	17	repetitive	repetitive	ADJ
fcis-13847	29	18	superposition	superposition	NOUN
fcis-13847	29	19	of	of	ADP
fcis-13847	29	20	background	background	NOUN
fcis-13847	29	21	features	feature	NOUN
fcis-13847	29	22	was	be	AUX
fcis-13847	29	23	alleviated	alleviate	VERB
fcis-13847	29	24	.	.	PUNCT
fcis-13847	30	1	yin	yin	PROPN
fcis-13847	30	2	et	et	PROPN
fcis-13847	30	3	al.[8	al.[8	PROPN
fcis-13847	30	4	]	]	PUNCT
fcis-13847	30	5	effectively	effectively	ADV
fcis-13847	30	6	transformed	transform	VERB
fcis-13847	30	7	the	the	DET
fcis-13847	30	8	algorithm	algorithm	NOUN
fcis-13847	30	9	's	's	PART
fcis-13847	30	10	learning	learning	NOUN
fcis-13847	30	11	of	of	ADP
fcis-13847	30	12	physical	physical	ADJ
fcis-13847	30	13	texture	texture	NOUN
fcis-13847	30	14	and	and	CCONJ
fcis-13847	30	15	surface	surface	NOUN
fcis-13847	30	16	information	information	NOUN
fcis-13847	30	17	of	of	ADP
fcis-13847	30	18	target	target	NOUN
fcis-13847	30	19	categories	category	NOUN
fcis-13847	30	20	into	into	ADP
fcis-13847	30	21	learning	learning	NOUN
fcis-13847	30	22	of	of	ADP
fcis-13847	30	23	contouring	contour	VERB
fcis-13847	30	24	through	through	ADP
fcis-13847	30	25	style	style	NOUN
fcis-13847	30	26	transfer	transfer	NOUN
fcis-13847	30	27	of	of	ADP
fcis-13847	30	28	fog	fog	NOUN
fcis-13847	30	29	weather	weather	NOUN
fcis-13847	30	30	images	image	NOUN
fcis-13847	30	31	,	,	PUNCT
fcis-13847	30	32	alleviating	alleviate	VERB
fcis-13847	30	33	the	the	DET
fcis-13847	30	34	influence	influence	NOUN
fcis-13847	30	35	of	of	ADP
fcis-13847	30	36	light	light	NOUN
fcis-13847	30	37	and	and	CCONJ
fcis-13847	30	38	noise	noise	NOUN
fcis-13847	30	39	and	and	CCONJ
fcis-13847	30	40	improving	improve	VERB
fcis-13847	30	41	the	the	DET
fcis-13847	30	42	detection	detection	NOUN
fcis-13847	30	43	37	37	NUM
fcis-13847	30	44	performance	performance	NOUN
fcis-13847	30	45	of	of	ADP
fcis-13847	30	46	foggy	foggy	ADJ
fcis-13847	30	47	targets	target	NOUN
fcis-13847	30	48	.	.	PUNCT
fcis-13847	31	1	based	base	VERB
fcis-13847	31	2	on	on	ADP
fcis-13847	31	3	yolov4	yolov4	PROPN
fcis-13847	31	4	,	,	PUNCT
fcis-13847	31	5	liu	liu	PROPN
fcis-13847	31	6	et	et	PROPN
fcis-13847	31	7	al.[9	al.[9	PROPN
fcis-13847	31	8	]	]	PUNCT
fcis-13847	31	9	replaced	replace	VERB
fcis-13847	31	10	the	the	DET
fcis-13847	31	11	backbone	backbone	NOUN
fcis-13847	31	12	with	with	ADP
fcis-13847	31	13	shufflenet	shufflenet	NOUN
fcis-13847	31	14	v2[10	v2[10	NOUN
fcis-13847	31	15	]	]	X
fcis-13847	31	16	network	network	NOUN
fcis-13847	31	17	to	to	PART
fcis-13847	31	18	reduce	reduce	VERB
fcis-13847	31	19	the	the	DET
fcis-13847	31	20	number	number	NOUN
fcis-13847	31	21	of	of	ADP
fcis-13847	31	22	parameters	parameter	NOUN
fcis-13847	31	23	,	,	PUNCT
fcis-13847	31	24	and	and	CCONJ
fcis-13847	31	25	combined	combine	VERB
fcis-13847	31	26	with	with	ADP
fcis-13847	31	27	deblurganv2[11	deblurganv2[11	PROPN
fcis-13847	31	28	]	]	PUNCT
fcis-13847	31	29	image	image	NOUN
fcis-13847	31	30	enhancement	enhancement	NOUN
fcis-13847	31	31	algorithm	algorithm	NOUN
fcis-13847	31	32	to	to	PART
fcis-13847	31	33	improve	improve	VERB
fcis-13847	31	34	the	the	DET
fcis-13847	31	35	detection	detection	NOUN
fcis-13847	31	36	accuracy	accuracy	NOUN
fcis-13847	31	37	and	and	CCONJ
fcis-13847	31	38	speed	speed	NOUN
fcis-13847	31	39	.	.	PUNCT
fcis-13847	32	1	based	base	VERB
fcis-13847	32	2	on	on	ADP
fcis-13847	32	3	yolov3	yolov3	PROPN
fcis-13847	32	4	network	network	PROPN
fcis-13847	32	5	,	,	PUNCT
fcis-13847	32	6	yang	yang	PROPN
fcis-13847	32	7	et	et	PROPN
fcis-13847	32	8	al.[12	al.[12	PROPN
fcis-13847	32	9	]	]	PUNCT
fcis-13847	32	10	introduced	introduce	VERB
fcis-13847	32	11	xception[13	xception[13	NUM
fcis-13847	32	12	]	]	PUNCT
fcis-13847	32	13	module	module	NOUN
fcis-13847	32	14	to	to	PART
fcis-13847	32	15	improve	improve	VERB
fcis-13847	32	16	the	the	DET
fcis-13847	32	17	accuracy	accuracy	NOUN
fcis-13847	32	18	,	,	PUNCT
fcis-13847	32	19	and	and	CCONJ
fcis-13847	32	20	griddehazenet[14	griddehazenet[14	PROPN
fcis-13847	32	21	]	]	PUNCT
fcis-13847	32	22	network	network	NOUN
fcis-13847	32	23	to	to	ADP
fcis-13847	32	24	de	de	PROPN
fcis-13847	32	25	-	-	NOUN
fcis-13847	32	26	fog	fog	VERB
fcis-13847	32	27	the	the	DET
fcis-13847	32	28	image	image	NOUN
fcis-13847	32	29	,	,	PUNCT
fcis-13847	32	30	which	which	PRON
fcis-13847	32	31	enhanced	enhance	VERB
fcis-13847	32	32	the	the	DET
fcis-13847	32	33	image	image	NOUN
fcis-13847	32	34	contrast	contrast	NOUN
fcis-13847	32	35	.	.	PUNCT
fcis-13847	33	1	diou	diou	ADJ
fcis-13847	33	2	function	function	NOUN
fcis-13847	33	3	was	be	AUX
fcis-13847	33	4	introduced	introduce	VERB
fcis-13847	33	5	to	to	PART
fcis-13847	33	6	replace	replace	VERB
fcis-13847	33	7	the	the	DET
fcis-13847	33	8	original	original	ADJ
fcis-13847	33	9	iou	iou	NOUN
fcis-13847	33	10	function	function	NOUN
fcis-13847	33	11	,	,	PUNCT
fcis-13847	33	12	which	which	PRON
fcis-13847	33	13	improved	improve	VERB
fcis-13847	33	14	the	the	DET
fcis-13847	33	15	feature	feature	NOUN
fcis-13847	33	16	extraction	extraction	NOUN
fcis-13847	33	17	capability	capability	NOUN
fcis-13847	33	18	and	and	CCONJ
fcis-13847	33	19	positioning	positioning	NOUN
fcis-13847	33	20	accuracy	accuracy	NOUN
fcis-13847	33	21	,	,	PUNCT
fcis-13847	33	22	and	and	CCONJ
fcis-13847	33	23	the	the	DET
fcis-13847	33	24	accuracy	accuracy	NOUN
fcis-13847	33	25	and	and	CCONJ
fcis-13847	33	26	location	location	NOUN
fcis-13847	33	27	performance	performance	NOUN
fcis-13847	33	28	of	of	ADP
fcis-13847	33	29	the	the	DET
fcis-13847	33	30	network	network	NOUN
fcis-13847	33	31	are	be	AUX
fcis-13847	33	32	improved	improve	VERB
fcis-13847	33	33	.	.	PUNCT
fcis-13847	34	1	xie	xie	PROPN
fcis-13847	34	2	et	et	PROPN
fcis-13847	34	3	al.[15	al.[15	PROPN
fcis-13847	34	4	]	]	PUNCT
fcis-13847	34	5	proposed	propose	VERB
fcis-13847	34	6	donet	donet	NOUN
fcis-13847	34	7	,	,	PUNCT
fcis-13847	34	8	a	a	DET
fcis-13847	34	9	joint	joint	ADJ
fcis-13847	34	10	learning	learning	NOUN
fcis-13847	34	11	framework	framework	NOUN
fcis-13847	34	12	for	for	ADP
fcis-13847	34	13	image	image	NOUN
fcis-13847	34	14	de	de	X
fcis-13847	34	15	-	-	NOUN
fcis-13847	34	16	fogging	fogging	ADJ
fcis-13847	34	17	and	and	CCONJ
fcis-13847	34	18	target	target	NOUN
fcis-13847	34	19	detection	detection	NOUN
fcis-13847	34	20	,	,	PUNCT
fcis-13847	34	21	for	for	ADP
fcis-13847	34	22	target	target	NOUN
fcis-13847	34	23	detection	detection	NOUN
fcis-13847	34	24	tasks	task	NOUN
fcis-13847	34	25	in	in	ADP
fcis-13847	34	26	fog	fog	NOUN
fcis-13847	34	27	scenes	scene	NOUN
fcis-13847	34	28	.	.	PUNCT
fcis-13847	35	1	by	by	ADP
fcis-13847	35	2	jointly	jointly	ADV
fcis-13847	35	3	optimizing	optimize	VERB
fcis-13847	35	4	the	the	DET
fcis-13847	35	5	de	de	ADJ
fcis-13847	35	6	-	-	ADJ
fcis-13847	35	7	fogging	fogging	ADJ
fcis-13847	35	8	network	network	NOUN
fcis-13847	35	9	and	and	CCONJ
fcis-13847	35	10	detection	detection	NOUN
fcis-13847	35	11	network	network	NOUN
fcis-13847	35	12	,	,	PUNCT
fcis-13847	35	13	the	the	DET
fcis-13847	35	14	network	network	NOUN
fcis-13847	35	15	can	can	AUX
fcis-13847	35	16	more	more	ADV
fcis-13847	35	17	truly	truly	ADV
fcis-13847	35	18	recover	recover	VERB
fcis-13847	35	19	image	image	NOUN
fcis-13847	35	20	details	detail	NOUN
fcis-13847	35	21	and	and	CCONJ
fcis-13847	35	22	simulate	simulate	VERB
fcis-13847	35	23	color	color	NOUN
fcis-13847	35	24	features	feature	NOUN
fcis-13847	35	25	during	during	ADP
fcis-13847	35	26	the	the	DET
fcis-13847	35	27	process	process	NOUN
fcis-13847	35	28	of	of	ADP
fcis-13847	35	29	learning	learn	VERB
fcis-13847	35	30	de	de	X
fcis-13847	35	31	-	-	NOUN
fcis-13847	35	32	fogging	fogging	ADJ
fcis-13847	35	33	,	,	PUNCT
fcis-13847	35	34	thus	thus	ADV
fcis-13847	35	35	improving	improve	VERB
fcis-13847	35	36	the	the	DET
fcis-13847	35	37	accuracy	accuracy	NOUN
fcis-13847	35	38	of	of	ADP
fcis-13847	35	39	target	target	NOUN
fcis-13847	35	40	detection	detection	NOUN
fcis-13847	35	41	.	.	PUNCT
fcis-13847	36	1	in	in	ADP
fcis-13847	36	2	addition	addition	NOUN
fcis-13847	36	3	,	,	PUNCT
fcis-13847	36	4	lv	lv	PROPN
fcis-13847	36	5	et	et	NOUN
fcis-13847	36	6	al.[16	al.[16	PROPN
fcis-13847	36	7	]	]	PUNCT
fcis-13847	36	8	,	,	PUNCT
fcis-13847	36	9	who	who	PRON
fcis-13847	36	10	adopted	adopt	VERB
fcis-13847	36	11	the	the	DET
fcis-13847	36	12	two	two	NUM
fcis-13847	36	13	-	-	PUNCT
fcis-13847	36	14	stage	stage	NOUN
fcis-13847	36	15	detection	detection	NOUN
fcis-13847	36	16	method	method	NOUN
fcis-13847	36	17	,	,	PUNCT
fcis-13847	36	18	improved	improve	VERB
fcis-13847	36	19	the	the	DET
fcis-13847	36	20	father	father	NOUN
fcis-13847	36	21	-	-	PUNCT
fcis-13847	36	22	rcnn	rcnn	PROPN
fcis-13847	36	23	algorithm	algorithm	PROPN
fcis-13847	36	24	,	,	PUNCT
fcis-13847	36	25	added	add	VERB
fcis-13847	36	26	sa	sa	NOUN
fcis-13847	36	27	attention	attention	NOUN
fcis-13847	36	28	mechanism	mechanism	NOUN
fcis-13847	36	29	in	in	ADP
fcis-13847	36	30	the	the	DET
fcis-13847	36	31	feature	feature	NOUN
fcis-13847	36	32	extraction	extraction	NOUN
fcis-13847	36	33	process	process	NOUN
fcis-13847	36	34	,	,	PUNCT
fcis-13847	36	35	improved	improve	VERB
fcis-13847	36	36	the	the	DET
fcis-13847	36	37	feature	feature	NOUN
fcis-13847	36	38	extraction	extraction	NOUN
fcis-13847	36	39	capability	capability	NOUN
fcis-13847	36	40	of	of	ADP
fcis-13847	36	41	the	the	DET
fcis-13847	36	42	algorithm	algorithm	NOUN
fcis-13847	36	43	,	,	PUNCT
fcis-13847	36	44	and	and	CCONJ
fcis-13847	36	45	replaced	replace	VERB
fcis-13847	36	46	the	the	DET
fcis-13847	36	47	original	original	ADJ
fcis-13847	36	48	loss	loss	NOUN
fcis-13847	36	49	function	function	NOUN
fcis-13847	36	50	with	with	ADP
fcis-13847	36	51	diou	diou	ADJ
fcis-13847	36	52	function	function	NOUN
fcis-13847	36	53	to	to	PART
fcis-13847	36	54	locate	locate	VERB
fcis-13847	36	55	the	the	DET
fcis-13847	36	56	target	target	NOUN
fcis-13847	36	57	more	more	ADV
fcis-13847	36	58	accurately	accurately	ADV
fcis-13847	36	59	and	and	CCONJ
fcis-13847	36	60	improve	improve	VERB
fcis-13847	36	61	the	the	DET
fcis-13847	36	62	performance	performance	NOUN
fcis-13847	36	63	of	of	ADP
fcis-13847	36	64	the	the	DET
fcis-13847	36	65	algorithm	algorithm	NOUN
fcis-13847	36	66	.	.	PUNCT
fcis-13847	37	1	the	the	DET
fcis-13847	37	2	main	main	ADJ
fcis-13847	37	3	problems	problem	NOUN
fcis-13847	37	4	encountered	encounter	VERB
fcis-13847	37	5	in	in	ADP
fcis-13847	37	6	the	the	DET
fcis-13847	37	7	research	research	NOUN
fcis-13847	37	8	process	process	NOUN
fcis-13847	37	9	include	include	VERB
fcis-13847	37	10	:	:	PUNCT
fcis-13847	37	11	1.lack	1.lack	NUM
fcis-13847	37	12	of	of	ADP
fcis-13847	37	13	applicable	applicable	ADJ
fcis-13847	37	14	data	data	NOUN
fcis-13847	37	15	sets	set	NOUN
fcis-13847	37	16	,	,	PUNCT
fcis-13847	37	17	and	and	CCONJ
fcis-13847	37	18	the	the	DET
fcis-13847	37	19	existing	exist	VERB
fcis-13847	37	20	public	public	ADJ
fcis-13847	37	21	data	datum	NOUN
fcis-13847	37	22	sets	set	NOUN
fcis-13847	37	23	are	be	AUX
fcis-13847	37	24	not	not	PART
fcis-13847	37	25	suitable	suitable	ADJ
fcis-13847	37	26	for	for	ADP
fcis-13847	37	27	the	the	DET
fcis-13847	37	28	research	research	NOUN
fcis-13847	37	29	content	content	NOUN
fcis-13847	37	30	of	of	ADP
fcis-13847	37	31	this	this	DET
fcis-13847	37	32	paper	paper	NOUN
fcis-13847	37	33	;	;	PUNCT
fcis-13847	38	1	2	2	X
fcis-13847	38	2	.	.	X
fcis-13847	38	3	the	the	DET
fcis-13847	38	4	model	model	NOUN
fcis-13847	38	5	loses	lose	VERB
fcis-13847	38	6	image	image	NOUN
fcis-13847	38	7	details	detail	NOUN
fcis-13847	38	8	and	and	CCONJ
fcis-13847	38	9	target	target	VERB
fcis-13847	38	10	information	information	NOUN
fcis-13847	38	11	during	during	ADP
fcis-13847	38	12	the	the	DET
fcis-13847	38	13	up	up	ADV
fcis-13847	38	14	-	-	PUNCT
fcis-13847	38	15	sampling	sample	VERB
fcis-13847	38	16	process	process	NOUN
fcis-13847	38	17	;	;	PUNCT
fcis-13847	38	18	3	3	X
fcis-13847	38	19	.	.	X
fcis-13847	38	20	after	after	ADP
fcis-13847	38	21	high	high	ADJ
fcis-13847	38	22	-	-	PUNCT
fcis-13847	38	23	multiple	multiple	NOUN
fcis-13847	38	24	downsampling	downsampling	NOUN
fcis-13847	38	25	,	,	PUNCT
fcis-13847	38	26	the	the	DET
fcis-13847	38	27	feature	feature	NOUN
fcis-13847	38	28	map	map	NOUN
fcis-13847	38	29	information	information	NOUN
fcis-13847	38	30	is	be	AUX
fcis-13847	38	31	missing	miss	VERB
fcis-13847	38	32	,	,	PUNCT
fcis-13847	38	33	which	which	PRON
fcis-13847	38	34	hinders	hinder	VERB
fcis-13847	38	35	the	the	DET
fcis-13847	38	36	subsequent	subsequent	ADJ
fcis-13847	38	37	network	network	NOUN
fcis-13847	38	38	layer	layer	NOUN
fcis-13847	38	39	's	's	PART
fcis-13847	38	40	perception	perception	NOUN
fcis-13847	38	41	of	of	ADP
fcis-13847	38	42	the	the	DET
fcis-13847	38	43	target	target	NOUN
fcis-13847	38	44	features	feature	VERB
fcis-13847	38	45	;	;	PUNCT
fcis-13847	39	1	4	4	X
fcis-13847	39	2	.	.	X
fcis-13847	39	3	the	the	DET
fcis-13847	39	4	existing	exist	VERB
fcis-13847	39	5	yolov7	yolov7	NOUN
fcis-13847	39	6	model	model	NOUN
fcis-13847	39	7	has	have	VERB
fcis-13847	39	8	poor	poor	ADJ
fcis-13847	39	9	detection	detection	NOUN
fcis-13847	39	10	effect	effect	NOUN
fcis-13847	39	11	on	on	ADP
fcis-13847	39	12	small	small	ADJ
fcis-13847	39	13	-	-	PUNCT
fcis-13847	39	14	size	size	NOUN
fcis-13847	39	15	targets	target	NOUN
fcis-13847	39	16	in	in	ADP
fcis-13847	39	17	the	the	DET
fcis-13847	39	18	research	research	NOUN
fcis-13847	39	19	scene	scene	NOUN
fcis-13847	39	20	;	;	PUNCT
fcis-13847	39	21	5	5	X
fcis-13847	39	22	.	.	X
fcis-13847	40	1	the	the	DET
fcis-13847	40	2	yolov7	yolov7	PROPN
fcis-13847	40	3	model	model	NOUN
fcis-13847	40	4	has	have	VERB
fcis-13847	40	5	unstable	unstable	ADJ
fcis-13847	40	6	positioning	positioning	NOUN
fcis-13847	40	7	of	of	ADP
fcis-13847	40	8	target	target	NOUN
fcis-13847	40	9	objects	object	NOUN
fcis-13847	40	10	and	and	CCONJ
fcis-13847	40	11	high	high	ADJ
fcis-13847	40	12	false	false	ADJ
fcis-13847	40	13	detection	detection	NOUN
fcis-13847	40	14	rate	rate	NOUN
fcis-13847	40	15	.	.	PUNCT
fcis-13847	41	1	see	see	VERB
fcis-13847	41	2	figure	figure	NOUN
fcis-13847	41	3	1	1	NUM
fcis-13847	41	4	for	for	ADP
fcis-13847	41	5	details	detail	NOUN
fcis-13847	41	6	.	.	PUNCT
fcis-13847	42	1	a	a	DET
fcis-13847	42	2	b	b	X
fcis-13847	42	3	c	c	PROPN
fcis-13847	42	4	fig	fig	NOUN
fcis-13847	42	5	1	1	NUM
fcis-13847	42	6	.	.	PUNCT
fcis-13847	43	1	the	the	DET
fcis-13847	43	2	problem	problem	NOUN
fcis-13847	43	3	of	of	ADP
fcis-13847	43	4	identifying	identify	VERB
fcis-13847	43	5	results	result	NOUN
fcis-13847	43	6	from	from	ADP
fcis-13847	43	7	the	the	DET
fcis-13847	43	8	underlying	underlie	VERB
fcis-13847	43	9	model	model	NOUN
fcis-13847	43	10	for	for	ADP
fcis-13847	43	11	the	the	DET
fcis-13847	43	12	above	above	ADJ
fcis-13847	43	13	problems	problem	NOUN
fcis-13847	43	14	,	,	PUNCT
fcis-13847	43	15	after	after	ADP
fcis-13847	43	16	practical	practical	ADJ
fcis-13847	43	17	exploration	exploration	NOUN
fcis-13847	43	18	,	,	PUNCT
fcis-13847	43	19	the	the	DET
fcis-13847	43	20	contribution	contribution	NOUN
fcis-13847	43	21	is	be	AUX
fcis-13847	43	22	as	as	SCONJ
fcis-13847	43	23	follows	follow	VERB
fcis-13847	43	24	:	:	PUNCT
fcis-13847	43	25	1	1	X
fcis-13847	43	26	)	)	PUNCT
fcis-13847	43	27	in	in	ADP
fcis-13847	43	28	view	view	NOUN
fcis-13847	43	29	of	of	ADP
fcis-13847	43	30	problem	problem	NOUN
fcis-13847	43	31	1	1	NUM
fcis-13847	43	32	,	,	PUNCT
fcis-13847	43	33	self	self	NOUN
fcis-13847	43	34	-	-	PUNCT
fcis-13847	43	35	built	build	VERB
fcis-13847	43	36	data	datum	NOUN
fcis-13847	43	37	set	set	VERB
fcis-13847	43	38	is	be	AUX
fcis-13847	43	39	targeted	target	VERB
fcis-13847	43	40	according	accord	VERB
fcis-13847	43	41	to	to	ADP
fcis-13847	43	42	the	the	DET
fcis-13847	43	43	task	task	NOUN
fcis-13847	43	44	scenario	scenario	NOUN
fcis-13847	43	45	of	of	ADP
fcis-13847	43	46	the	the	DET
fcis-13847	43	47	study	study	NOUN
fcis-13847	43	48	,	,	PUNCT
fcis-13847	43	49	frame	frame	NOUN
fcis-13847	43	50	slices	slice	NOUN
fcis-13847	43	51	are	be	AUX
fcis-13847	43	52	made	make	VERB
fcis-13847	43	53	for	for	ADP
fcis-13847	43	54	the	the	DET
fcis-13847	43	55	surveillance	surveillance	NOUN
fcis-13847	43	56	video	video	NOUN
fcis-13847	43	57	during	during	ADP
fcis-13847	43	58	the	the	DET
fcis-13847	43	59	aircraft	aircraft	NOUN
fcis-13847	43	60	turnaround	turnaround	NOUN
fcis-13847	43	61	milestone	milestone	NOUN
fcis-13847	43	62	process	process	NOUN
fcis-13847	43	63	,	,	PUNCT
fcis-13847	43	64	and	and	CCONJ
fcis-13847	43	65	the	the	DET
fcis-13847	43	66	data	datum	NOUN
fcis-13847	43	67	set	set	VERB
fcis-13847	43	68	is	be	AUX
fcis-13847	43	69	made	make	VERB
fcis-13847	43	70	,	,	PUNCT
fcis-13847	43	71	in	in	ADP
fcis-13847	43	72	which	which	PRON
fcis-13847	43	73	the	the	DET
fcis-13847	43	74	real	real	ADJ
fcis-13847	43	75	fog	fog	NOUN
fcis-13847	43	76	image	image	NOUN
fcis-13847	43	77	is	be	AUX
fcis-13847	43	78	used	use	VERB
fcis-13847	43	79	as	as	ADP
fcis-13847	43	80	the	the	DET
fcis-13847	43	81	fog	fog	PROPN
fcis-13847	43	82	test	test	NOUN
fcis-13847	43	83	set	set	VERB
fcis-13847	43	84	.	.	PUNCT
fcis-13847	44	1	2	2	X
fcis-13847	44	2	)	)	PUNCT
fcis-13847	44	3	for	for	ADP
fcis-13847	44	4	problem	problem	NOUN
fcis-13847	44	5	2	2	NUM
fcis-13847	44	6	,	,	PUNCT
fcis-13847	44	7	ovrafe	ovrafe	ADJ
fcis-13847	44	8	upsample	upsample	NOUN
fcis-13847	44	9	module	module	NOUN
fcis-13847	44	10	is	be	AUX
fcis-13847	44	11	introduced	introduce	VERB
fcis-13847	44	12	to	to	PART
fcis-13847	44	13	replace	replace	VERB
fcis-13847	44	14	upsample	upsample	NOUN
fcis-13847	44	15	module	module	NOUN
fcis-13847	44	16	in	in	ADP
fcis-13847	44	17	head	head	NOUN
fcis-13847	44	18	network	network	NOUN
fcis-13847	44	19	.	.	PUNCT
fcis-13847	45	1	ovrafe	ovrafe	ADJ
fcis-13847	45	2	upsample	upsample	NOUN
fcis-13847	45	3	module	module	NOUN
fcis-13847	45	4	has	have	VERB
fcis-13847	45	5	a	a	DET
fcis-13847	45	6	wider	wide	ADJ
fcis-13847	45	7	feature	feature	NOUN
fcis-13847	45	8	receptive	receptive	ADJ
fcis-13847	45	9	field	field	NOUN
fcis-13847	45	10	and	and	CCONJ
fcis-13847	45	11	retains	retain	VERB
fcis-13847	45	12	more	more	ADJ
fcis-13847	45	13	details	detail	NOUN
fcis-13847	45	14	of	of	ADP
fcis-13847	45	15	target	target	NOUN
fcis-13847	45	16	objects	object	NOUN
fcis-13847	45	17	in	in	ADP
fcis-13847	45	18	the	the	DET
fcis-13847	45	19	process	process	NOUN
fcis-13847	45	20	of	of	ADP
fcis-13847	45	21	upsampling	upsample	VERB
fcis-13847	45	22	,	,	PUNCT
fcis-13847	45	23	reducing	reduce	VERB
fcis-13847	45	24	information	information	NOUN
fcis-13847	45	25	loss	loss	NOUN
fcis-13847	45	26	,	,	PUNCT
fcis-13847	45	27	easing	ease	VERB
fcis-13847	45	28	the	the	DET
fcis-13847	45	29	impact	impact	NOUN
fcis-13847	45	30	of	of	ADP
fcis-13847	45	31	noise	noise	NOUN
fcis-13847	45	32	,	,	PUNCT
fcis-13847	45	33	facilitating	facilitate	VERB
fcis-13847	45	34	deep	deep	ADJ
fcis-13847	45	35	network	network	NOUN
fcis-13847	45	36	perception	perception	NOUN
fcis-13847	45	37	and	and	CCONJ
fcis-13847	45	38	extracting	extract	VERB
fcis-13847	45	39	feature	feature	NOUN
fcis-13847	45	40	information	information	NOUN
fcis-13847	45	41	.	.	PUNCT
fcis-13847	46	1	the	the	DET
fcis-13847	46	2	ovrafe	ovrafe	ADJ
fcis-13847	46	3	module	module	NOUN
fcis-13847	46	4	improves	improve	VERB
fcis-13847	46	5	the	the	DET
fcis-13847	46	6	model	model	NOUN
fcis-13847	46	7	performance	performance	NOUN
fcis-13847	46	8	at	at	ADP
fcis-13847	46	9	the	the	DET
fcis-13847	46	10	cost	cost	NOUN
fcis-13847	46	11	of	of	ADP
fcis-13847	46	12	increasing	increase	VERB
fcis-13847	46	13	the	the	DET
fcis-13847	46	14	number	number	NOUN
fcis-13847	46	15	of	of	ADP
fcis-13847	46	16	model	model	NOUN
fcis-13847	46	17	parameters	parameter	NOUN
fcis-13847	46	18	.	.	PUNCT
fcis-13847	47	1	3	3	X
fcis-13847	47	2	)	)	PUNCT
fcis-13847	47	3	for	for	ADP
fcis-13847	47	4	problem	problem	NOUN
fcis-13847	47	5	3	3	NUM
fcis-13847	47	6	,	,	PUNCT
fcis-13847	47	7	the	the	DET
fcis-13847	47	8	head	head	NOUN
fcis-13847	47	9	layer	layer	NOUN
fcis-13847	47	10	is	be	AUX
fcis-13847	47	11	connected	connect	VERB
fcis-13847	47	12	to	to	ADP
fcis-13847	47	13	the	the	DET
fcis-13847	47	14	shallow	shallow	ADJ
fcis-13847	47	15	layer	layer	NOUN
fcis-13847	47	16	of	of	ADP
fcis-13847	47	17	the	the	DET
fcis-13847	47	18	backbone	backbone	NOUN
fcis-13847	47	19	network	network	NOUN
fcis-13847	47	20	,	,	PUNCT
fcis-13847	47	21	so	so	SCONJ
fcis-13847	47	22	that	that	SCONJ
fcis-13847	47	23	the	the	DET
fcis-13847	47	24	deep	deep	ADJ
fcis-13847	47	25	network	network	NOUN
fcis-13847	47	26	can	can	AUX
fcis-13847	47	27	obtain	obtain	VERB
fcis-13847	47	28	part	part	NOUN
fcis-13847	47	29	of	of	ADP
fcis-13847	47	30	the	the	DET
fcis-13847	47	31	feature	feature	NOUN
fcis-13847	47	32	information	information	NOUN
fcis-13847	47	33	of	of	ADP
fcis-13847	47	34	the	the	DET
fcis-13847	47	35	shallow	shallow	ADJ
fcis-13847	47	36	network	network	NOUN
fcis-13847	47	37	feature	feature	NOUN
fcis-13847	47	38	map	map	NOUN
fcis-13847	47	39	and	and	CCONJ
fcis-13847	47	40	strengthen	strengthen	VERB
fcis-13847	47	41	the	the	DET
fcis-13847	47	42	feature	feature	NOUN
fcis-13847	47	43	perception	perception	NOUN
fcis-13847	47	44	ability	ability	NOUN
fcis-13847	47	45	of	of	ADP
fcis-13847	47	46	the	the	DET
fcis-13847	47	47	deeper	deep	ADJ
fcis-13847	47	48	network	network	NOUN
fcis-13847	47	49	.	.	PUNCT
fcis-13847	48	1	4	4	NUM
fcis-13847	48	2	)	)	PUNCT
fcis-13847	48	3	for	for	ADP
fcis-13847	48	4	problem	problem	NOUN
fcis-13847	48	5	4	4	NUM
fcis-13847	48	6	,	,	PUNCT
fcis-13847	48	7	a	a	DET
fcis-13847	48	8	small	small	ADJ
fcis-13847	48	9	target	target	NOUN
fcis-13847	48	10	detection	detection	NOUN
fcis-13847	48	11	head	head	NOUN
fcis-13847	48	12	is	be	AUX
fcis-13847	48	13	added	add	VERB
fcis-13847	48	14	to	to	ADP
fcis-13847	48	15	the	the	DET
fcis-13847	48	16	existing	exist	VERB
fcis-13847	48	17	yolov7	yolov7	NOUN
fcis-13847	48	18	network	network	NOUN
fcis-13847	48	19	structure	structure	NOUN
fcis-13847	48	20	to	to	PART
fcis-13847	48	21	enhance	enhance	VERB
fcis-13847	48	22	the	the	DET
fcis-13847	48	23	small	small	ADJ
fcis-13847	48	24	target	target	NOUN
fcis-13847	48	25	detection	detection	NOUN
fcis-13847	48	26	capability	capability	NOUN
fcis-13847	48	27	of	of	ADP
fcis-13847	48	28	the	the	DET
fcis-13847	48	29	model	model	NOUN
fcis-13847	48	30	.	.	PUNCT
fcis-13847	49	1	5	5	NUM
fcis-13847	49	2	)	)	PUNCT
fcis-13847	49	3	for	for	ADP
fcis-13847	49	4	problem	problem	NOUN
fcis-13847	49	5	5	5	NUM
fcis-13847	49	6	,	,	PUNCT
fcis-13847	49	7	in	in	ADP
fcis-13847	49	8	the	the	DET
fcis-13847	49	9	prediction	prediction	NOUN
fcis-13847	49	10	part	part	NOUN
fcis-13847	49	11	of	of	ADP
fcis-13847	49	12	the	the	DET
fcis-13847	49	13	model	model	NOUN
fcis-13847	49	14	,	,	PUNCT
fcis-13847	49	15	mwise	mwise	PROPN
fcis-13847	49	16	iou	iou	NOUN
fcis-13847	49	17	loss	loss	NOUN
fcis-13847	49	18	function	function	NOUN
fcis-13847	49	19	is	be	AUX
fcis-13847	49	20	introduced	introduce	VERB
fcis-13847	49	21	to	to	PART
fcis-13847	49	22	replace	replace	VERB
fcis-13847	49	23	the	the	DET
fcis-13847	49	24	original	original	ADJ
fcis-13847	49	25	ciou	ciou	NOUN
fcis-13847	49	26	loss	loss	NOUN
fcis-13847	49	27	function	function	NOUN
fcis-13847	49	28	,	,	PUNCT
fcis-13847	49	29	which	which	PRON
fcis-13847	49	30	enhances	enhance	VERB
fcis-13847	49	31	the	the	DET
fcis-13847	49	32	location	location	NOUN
fcis-13847	49	33	ability	ability	NOUN
fcis-13847	49	34	of	of	ADP
fcis-13847	49	35	the	the	DET
fcis-13847	49	36	boundary	boundary	ADJ
fcis-13847	49	37	frame	frame	NOUN
fcis-13847	49	38	and	and	CCONJ
fcis-13847	49	39	improves	improve	VERB
fcis-13847	49	40	the	the	DET
fcis-13847	49	41	stability	stability	NOUN
fcis-13847	49	42	of	of	ADP
fcis-13847	49	43	the	the	DET
fcis-13847	49	44	detection	detection	NOUN
fcis-13847	49	45	frame	frame	NOUN
fcis-13847	49	46	.	.	PUNCT
fcis-13847	50	1	in	in	ADP
fcis-13847	50	2	figure	figure	NOUN
fcis-13847	50	3	a	a	PRON
fcis-13847	50	4	,	,	PUNCT
fcis-13847	50	5	the	the	DET
fcis-13847	50	6	detection	detection	NOUN
fcis-13847	50	7	frame	frame	NOUN
fcis-13847	50	8	selection	selection	NOUN
fcis-13847	50	9	of	of	ADP
fcis-13847	50	10	the	the	DET
fcis-13847	50	11	target	target	NOUN
fcis-13847	50	12	aircraft	aircraft	NOUN
fcis-13847	50	13	is	be	AUX
fcis-13847	50	14	extremely	extremely	ADV
fcis-13847	50	15	unstable	unstable	ADJ
fcis-13847	50	16	and	and	CCONJ
fcis-13847	50	17	fluctuates	fluctuate	VERB
fcis-13847	50	18	greatly	greatly	ADV
fcis-13847	50	19	.	.	PUNCT
fcis-13847	51	1	in	in	ADP
fcis-13847	51	2	figure	figure	NOUN
fcis-13847	51	3	b	b	NOUN
fcis-13847	51	4	,	,	PUNCT
fcis-13847	51	5	the	the	DET
fcis-13847	51	6	picture	picture	NOUN
fcis-13847	51	7	below	below	ADV
fcis-13847	51	8	is	be	AUX
fcis-13847	51	9	a	a	DET
fcis-13847	51	10	partial	partial	ADJ
fcis-13847	51	11	enlargement	enlargement	NOUN
fcis-13847	51	12	of	of	ADP
fcis-13847	51	13	the	the	DET
fcis-13847	51	14	above	above	ADJ
fcis-13847	51	15	picture	picture	NOUN
fcis-13847	51	16	,	,	PUNCT
fcis-13847	51	17	and	and	CCONJ
fcis-13847	51	18	the	the	DET
fcis-13847	51	19	lifting	lift	VERB
fcis-13847	51	20	platform	platform	NOUN
fcis-13847	51	21	vehicle	vehicle	NOUN
fcis-13847	51	22	is	be	AUX
fcis-13847	51	23	mistakenly	mistakenly	ADV
fcis-13847	51	24	detected	detect	VERB
fcis-13847	51	25	as	as	ADP
fcis-13847	51	26	a	a	DET
fcis-13847	51	27	baggage	baggage	NOUN
fcis-13847	51	28	conveyor	conveyor	NOUN
fcis-13847	51	29	truck	truck	NOUN
fcis-13847	51	30	and	and	CCONJ
fcis-13847	51	31	the	the	DET
fcis-13847	51	32	tail	tail	NOUN
fcis-13847	51	33	is	be	AUX
fcis-13847	51	34	mistakenly	mistakenly	ADV
fcis-13847	51	35	detected	detect	VERB
fcis-13847	51	36	as	as	ADP
fcis-13847	51	37	a	a	DET
fcis-13847	51	38	gallery	gallery	NOUN
fcis-13847	51	39	bridge	bridge	NOUN
fcis-13847	51	40	.	.	PUNCT
fcis-13847	52	1	the	the	DET
fcis-13847	52	2	thick	thick	ADJ
fcis-13847	52	3	wire	wire	NOUN
fcis-13847	52	4	frame	frame	NOUN
fcis-13847	52	5	in	in	ADP
fcis-13847	52	6	figure	figure	NOUN
fcis-13847	52	7	c	c	PROPN
fcis-13847	52	8	is	be	AUX
fcis-13847	52	9	the	the	DET
fcis-13847	52	10	missing	miss	VERB
fcis-13847	52	11	target	target	NOUN
fcis-13847	52	12	,	,	PUNCT
fcis-13847	52	13	which	which	PRON
fcis-13847	52	14	is	be	AUX
fcis-13847	52	15	the	the	DET
fcis-13847	52	16	cabin	cabin	NOUN
fcis-13847	52	17	door	door	NOUN
fcis-13847	52	18	and	and	CCONJ
fcis-13847	52	19	the	the	DET
fcis-13847	52	20	water	water	NOUN
fcis-13847	52	21	truck	truck	NOUN
fcis-13847	52	22	respectively	respectively	ADV
fcis-13847	52	23	.	.	PUNCT
fcis-13847	53	1	3	3	X
fcis-13847	53	2	.	.	X
fcis-13847	53	3	btm	btm	PROPN
fcis-13847	53	4	-	-	PUNCT
fcis-13847	53	5	yolo	yolo	PROPN
fcis-13847	53	6	network	network	NOUN
fcis-13847	53	7	3.1	3.1	NUM
fcis-13847	53	8	.	.	PUNCT
fcis-13847	54	1	yolov7	yolov7	NOUN
fcis-13847	54	2	introduction	introduction	VERB
fcis-13847	54	3	the	the	DET
fcis-13847	54	4	target	target	NOUN
fcis-13847	54	5	detection	detection	NOUN
fcis-13847	54	6	task	task	NOUN
fcis-13847	54	7	as	as	ADP
fcis-13847	54	8	a	a	DET
fcis-13847	54	9	regression	regression	NOUN
fcis-13847	54	10	problem	problem	NOUN
fcis-13847	54	11	.	.	PUNCT
fcis-13847	55	1	compared	compare	VERB
fcis-13847	55	2	with	with	ADP
fcis-13847	55	3	the	the	DET
fcis-13847	55	4	previous	previous	ADJ
fcis-13847	55	5	version	version	NOUN
fcis-13847	55	6	,	,	PUNCT
fcis-13847	55	7	the	the	DET
fcis-13847	55	8	detection	detection	NOUN
fcis-13847	55	9	accuracy	accuracy	NOUN
fcis-13847	55	10	and	and	CCONJ
fcis-13847	55	11	speed	speed	NOUN
fcis-13847	55	12	have	have	AUX
fcis-13847	55	13	been	be	AUX
fcis-13847	55	14	improved	improve	VERB
fcis-13847	55	15	.	.	PUNCT
fcis-13847	56	1	elan	elan	PROPN
fcis-13847	56	2	module	module	NOUN
fcis-13847	56	3	is	be	AUX
fcis-13847	56	4	a	a	DET
fcis-13847	56	5	new	new	ADJ
fcis-13847	56	6	structure	structure	NOUN
fcis-13847	56	7	proposed	propose	VERB
fcis-13847	56	8	by	by	ADP
fcis-13847	56	9	yolo	yolo	ADJ
fcis-13847	56	10	v7	v7	NOUN
fcis-13847	56	11	,	,	PUNCT
fcis-13847	56	12	which	which	PRON
fcis-13847	56	13	is	be	AUX
fcis-13847	56	14	used	use	VERB
fcis-13847	56	15	to	to	PART
fcis-13847	56	16	replace	replace	VERB
fcis-13847	56	17	the	the	DET
fcis-13847	56	18	transition	transition	NOUN
fcis-13847	56	19	layer	layer	NOUN
fcis-13847	56	20	.	.	PUNCT
fcis-13847	57	1	its	its	PRON
fcis-13847	57	2	main	main	ADJ
fcis-13847	57	3	function	function	NOUN
fcis-13847	57	4	is	be	AUX
fcis-13847	57	5	to	to	PART
fcis-13847	57	6	solve	solve	VERB
fcis-13847	57	7	the	the	DET
fcis-13847	57	8	problem	problem	NOUN
fcis-13847	57	9	of	of	ADP
fcis-13847	57	10	excessive	excessive	ADJ
fcis-13847	57	11	training	training	NOUN
fcis-13847	57	12	difficulty	difficulty	NOUN
fcis-13847	57	13	caused	cause	VERB
fcis-13847	57	14	by	by	ADP
fcis-13847	57	15	excessive	excessive	ADJ
fcis-13847	57	16	number	number	NOUN
fcis-13847	57	17	of	of	ADP
fcis-13847	57	18	transition	transition	NOUN
fcis-13847	57	19	layers	layer	NOUN
fcis-13847	57	20	and	and	CCONJ
fcis-13847	57	21	increasing	increase	VERB
fcis-13847	57	22	of	of	ADP
fcis-13847	57	23	shortest	short	ADJ
fcis-13847	57	24	gradient	gradient	ADJ
fcis-13847	57	25	path	path	NOUN
fcis-13847	57	26	when	when	SCONJ
fcis-13847	57	27	stacking	stack	VERB
fcis-13847	57	28	blocks	block	NOUN
fcis-13847	57	29	.	.	PUNCT
fcis-13847	58	1	the	the	DET
fcis-13847	58	2	algorithm	algorithm	NOUN
fcis-13847	58	3	is	be	AUX
fcis-13847	58	4	mainly	mainly	ADV
fcis-13847	58	5	divided	divide	VERB
fcis-13847	58	6	into	into	ADP
fcis-13847	58	7	two	two	NUM
fcis-13847	58	8	parts	part	NOUN
fcis-13847	58	9	:	:	PUNCT
fcis-13847	58	10	backbone	backbone	NOUN
fcis-13847	58	11	network	network	NOUN
fcis-13847	58	12	and	and	CCONJ
fcis-13847	58	13	head	head	NOUN
fcis-13847	58	14	network	network	NOUN
fcis-13847	58	15	.	.	PUNCT
fcis-13847	59	1	the	the	DET
fcis-13847	59	2	input	input	NOUN
fcis-13847	59	3	image	image	NOUN
fcis-13847	59	4	is	be	AUX
fcis-13847	59	5	extracted	extract	VERB
fcis-13847	59	6	by	by	ADP
fcis-13847	59	7	backbone	backbone	NOUN
fcis-13847	59	8	backbone	backbone	NOUN
fcis-13847	59	9	network	network	NOUN
fcis-13847	59	10	,	,	PUNCT
fcis-13847	59	11	and	and	CCONJ
fcis-13847	59	12	after	after	ADP
fcis-13847	59	13	repeated	repeat	VERB
fcis-13847	59	14	subsampling	subsampling	NOUN
fcis-13847	59	15	,	,	PUNCT
fcis-13847	59	16	three	three	NUM
fcis-13847	59	17	different	different	ADJ
fcis-13847	59	18	size	size	NOUN
fcis-13847	59	19	feature	feature	NOUN
fcis-13847	59	20	maps	map	NOUN
fcis-13847	59	21	are	be	AUX
fcis-13847	59	22	output	output	NOUN
fcis-13847	59	23	respectively	respectively	ADV
fcis-13847	59	24	,	,	PUNCT
fcis-13847	59	25	and	and	CCONJ
fcis-13847	59	26	then	then	ADV
fcis-13847	59	27	transmitted	transmit	VERB
fcis-13847	59	28	to	to	ADP
fcis-13847	59	29	the	the	DET
fcis-13847	59	30	subsequent	subsequent	ADJ
fcis-13847	59	31	head	head	NOUN
fcis-13847	59	32	network	network	NOUN
fcis-13847	59	33	for	for	ADP
fcis-13847	59	34	feature	feature	NOUN
fcis-13847	59	35	map	map	NOUN
fcis-13847	59	36	fusion	fusion	NOUN
fcis-13847	59	37	and	and	CCONJ
fcis-13847	59	38	detection	detection	NOUN
fcis-13847	59	39	.	.	PUNCT
fcis-13847	60	1	3.2	3.2	NUM
fcis-13847	60	2	.	.	PUNCT
fcis-13847	60	3	btm	btm	PROPN
fcis-13847	60	4	-	-	PUNCT
fcis-13847	60	5	yolo	yolo	PROPN
fcis-13847	60	6	network	network	NOUN
fcis-13847	60	7	fig	fig	NOUN
fcis-13847	60	8	2	2	NUM
fcis-13847	60	9	.	.	PUNCT
fcis-13847	60	10	btm	btm	PROPN
fcis-13847	60	11	-	-	PUNCT
fcis-13847	60	12	yolo	yolo	PROPN
fcis-13847	60	13	network	network	NOUN
fcis-13847	60	14	on	on	ADP
fcis-13847	60	15	the	the	DET
fcis-13847	60	16	basis	basis	NOUN
fcis-13847	60	17	of	of	ADP
fcis-13847	60	18	yolo	yolo	ADJ
fcis-13847	60	19	v7	v7	NOUN
fcis-13847	60	20	,	,	PUNCT
fcis-13847	60	21	a	a	DET
fcis-13847	60	22	lightweight	lightweight	ADJ
fcis-13847	60	23	ovrafe	ovrafe	ADJ
fcis-13847	60	24	module	module	NOUN
fcis-13847	60	25	is	be	AUX
fcis-13847	60	26	introduced	introduce	VERB
fcis-13847	60	27	to	to	PART
fcis-13847	60	28	replace	replace	VERB
fcis-13847	60	29	the	the	DET
fcis-13847	60	30	original	original	ADJ
fcis-13847	60	31	upsampling	upsampling	NOUN
fcis-13847	60	32	module	module	NOUN
fcis-13847	60	33	,	,	PUNCT
fcis-13847	60	34	the	the	DET
fcis-13847	60	35	38	38	NUM
fcis-13847	60	36	head	head	NOUN
fcis-13847	60	37	network	network	NOUN
fcis-13847	60	38	is	be	AUX
fcis-13847	60	39	connected	connect	VERB
fcis-13847	60	40	to	to	ADP
fcis-13847	60	41	the	the	DET
fcis-13847	60	42	shallow	shallow	ADJ
fcis-13847	60	43	part	part	NOUN
fcis-13847	60	44	of	of	ADP
fcis-13847	60	45	the	the	DET
fcis-13847	60	46	backbone	backbone	NOUN
fcis-13847	60	47	network	network	NOUN
fcis-13847	60	48	,	,	PUNCT
fcis-13847	60	49	and	and	CCONJ
fcis-13847	60	50	a	a	DET
fcis-13847	60	51	new	new	ADJ
fcis-13847	60	52	small	small	ADJ
fcis-13847	60	53	target	target	NOUN
fcis-13847	60	54	detection	detection	NOUN
fcis-13847	60	55	head	head	NOUN
fcis-13847	60	56	nehead	nehead	NOUN
fcis-13847	60	57	is	be	AUX
fcis-13847	60	58	added	add	VERB
fcis-13847	60	59	.	.	PUNCT
fcis-13847	61	1	the	the	DET
fcis-13847	61	2	specific	specific	ADJ
fcis-13847	61	3	structure	structure	NOUN
fcis-13847	61	4	is	be	AUX
fcis-13847	61	5	shown	show	VERB
fcis-13847	61	6	in	in	ADP
fcis-13847	61	7	figure	figure	NOUN
fcis-13847	61	8	2	2	NUM
fcis-13847	61	9	.	.	PUNCT
fcis-13847	62	1	the	the	DET
fcis-13847	62	2	improved	improved	ADJ
fcis-13847	62	3	upsampling	upsampling	NOUN
fcis-13847	62	4	structure	structure	NOUN
fcis-13847	62	5	and	and	CCONJ
fcis-13847	62	6	the	the	DET
fcis-13847	62	7	added	add	VERB
fcis-13847	62	8	small	small	ADJ
fcis-13847	62	9	target	target	NOUN
fcis-13847	62	10	detection	detection	NOUN
fcis-13847	62	11	head	head	NOUN
fcis-13847	62	12	with	with	ADP
fcis-13847	62	13	3d	3d	NUM
fcis-13847	62	14	attention	attention	NOUN
fcis-13847	62	15	are	be	AUX
fcis-13847	62	16	shown	show	VERB
fcis-13847	62	17	in	in	ADP
fcis-13847	62	18	the	the	DET
fcis-13847	62	19	dotted	dotted	ADJ
fcis-13847	62	20	box	box	NOUN
fcis-13847	62	21	.	.	PUNCT
fcis-13847	63	1	3.3	3.3	NUM
fcis-13847	63	2	.	.	PUNCT
fcis-13847	63	3	upsampling	upsample	VERB
fcis-13847	63	4	module	module	NOUN
fcis-13847	63	5	with	with	ADP
fcis-13847	63	6	global	global	ADJ
fcis-13847	63	7	view	view	NOUN
fcis-13847	63	8	in	in	ADP
fcis-13847	63	9	yolov7	yolov7	NOUN
fcis-13847	63	10	,	,	PUNCT
fcis-13847	63	11	the	the	DET
fcis-13847	63	12	nearest	near	ADJ
fcis-13847	63	13	neighbor	neighbor	NOUN
fcis-13847	63	14	up	up	ADV
fcis-13847	63	15	-	-	PUNCT
fcis-13847	63	16	sampling	sampling	NOUN
fcis-13847	63	17	of	of	ADP
fcis-13847	63	18	feature	feature	NOUN
fcis-13847	63	19	maps	map	NOUN
fcis-13847	63	20	are	be	AUX
fcis-13847	63	21	simple	simple	ADJ
fcis-13847	63	22	and	and	CCONJ
fcis-13847	63	23	efficient	efficient	ADJ
fcis-13847	63	24	,	,	PUNCT
fcis-13847	63	25	but	but	CCONJ
fcis-13847	63	26	the	the	DET
fcis-13847	63	27	disadvantage	disadvantage	NOUN
fcis-13847	63	28	is	be	AUX
fcis-13847	63	29	that	that	SCONJ
fcis-13847	63	30	semantic	semantic	ADJ
fcis-13847	63	31	information	information	NOUN
fcis-13847	63	32	on	on	ADP
fcis-13847	63	33	feature	feature	NOUN
fcis-13847	63	34	maps	map	NOUN
fcis-13847	63	35	can	can	AUX
fcis-13847	63	36	not	not	PART
fcis-13847	63	37	be	be	AUX
fcis-13847	63	38	utilized	utilize	VERB
fcis-13847	63	39	,	,	PUNCT
fcis-13847	63	40	the	the	DET
fcis-13847	63	41	range	range	NOUN
fcis-13847	63	42	of	of	ADP
fcis-13847	63	43	sensing	sense	VERB
fcis-13847	63	44	areas	area	NOUN
fcis-13847	63	45	is	be	AUX
fcis-13847	63	46	insufficient	insufficient	ADJ
fcis-13847	63	47	,	,	PUNCT
fcis-13847	63	48	and	and	CCONJ
fcis-13847	63	49	important	important	ADJ
fcis-13847	63	50	target	target	NOUN
fcis-13847	63	51	detail	detail	NOUN
fcis-13847	63	52	features	feature	NOUN
fcis-13847	63	53	will	will	AUX
fcis-13847	63	54	be	be	AUX
fcis-13847	63	55	lost	lose	VERB
fcis-13847	63	56	after	after	ADP
fcis-13847	63	57	upsampling	upsample	VERB
fcis-13847	63	58	.	.	PUNCT
fcis-13847	64	1	because	because	SCONJ
fcis-13847	64	2	there	there	PRON
fcis-13847	64	3	are	be	VERB
fcis-13847	64	4	quite	quite	DET
fcis-13847	64	5	a	a	DET
fcis-13847	64	6	number	number	NOUN
fcis-13847	64	7	of	of	ADP
fcis-13847	64	8	images	image	NOUN
fcis-13847	64	9	distorted	distort	VERB
fcis-13847	64	10	by	by	ADP
fcis-13847	64	11	fog	fog	NOUN
fcis-13847	64	12	deterioration	deterioration	NOUN
fcis-13847	64	13	in	in	ADP
fcis-13847	64	14	the	the	DET
fcis-13847	64	15	data	datum	NOUN
fcis-13847	64	16	set	set	VERB
fcis-13847	64	17	,	,	PUNCT
fcis-13847	64	18	the	the	DET
fcis-13847	64	19	sampling	sample	VERB
fcis-13847	64	20	module	module	NOUN
fcis-13847	64	21	needs	need	VERB
fcis-13847	64	22	to	to	PART
fcis-13847	64	23	have	have	VERB
fcis-13847	64	24	a	a	DET
fcis-13847	64	25	larger	large	ADJ
fcis-13847	64	26	receptive	receptive	ADJ
fcis-13847	64	27	field	field	NOUN
fcis-13847	64	28	and	and	CCONJ
fcis-13847	64	29	stronger	strong	ADJ
fcis-13847	64	30	semantic	semantic	ADJ
fcis-13847	64	31	information	information	NOUN
fcis-13847	64	32	acquisition	acquisition	NOUN
fcis-13847	64	33	ability	ability	NOUN
fcis-13847	64	34	.	.	PUNCT
fcis-13847	65	1	in	in	ADP
fcis-13847	65	2	this	this	DET
fcis-13847	65	3	regard	regard	NOUN
fcis-13847	65	4	,	,	PUNCT
fcis-13847	65	5	ovrafe	ovrafe	ADJ
fcis-13847	65	6	,	,	PUNCT
fcis-13847	65	7	an	an	DET
fcis-13847	65	8	upsampling	upsampling	NOUN
fcis-13847	65	9	module	module	NOUN
fcis-13847	65	10	with	with	ADP
fcis-13847	65	11	a	a	DET
fcis-13847	65	12	broader	broad	ADJ
fcis-13847	65	13	field	field	NOUN
fcis-13847	65	14	of	of	ADP
fcis-13847	65	15	view	view	NOUN
fcis-13847	65	16	,	,	PUNCT
fcis-13847	65	17	is	be	AUX
fcis-13847	65	18	introduced	introduce	VERB
fcis-13847	65	19	,	,	PUNCT
fcis-13847	65	20	which	which	PRON
fcis-13847	65	21	is	be	AUX
fcis-13847	65	22	improved	improve	VERB
fcis-13847	65	23	based	base	VERB
fcis-13847	65	24	on	on	ADP
fcis-13847	65	25	the	the	DET
fcis-13847	65	26	carafe	carafe	PROPN
fcis-13847	65	27	upsampling	upsampling	NOUN
fcis-13847	65	28	operator	operator	NOUN
fcis-13847	65	29	,	,	PUNCT
fcis-13847	65	30	and	and	CCONJ
fcis-13847	65	31	the	the	DET
fcis-13847	65	32	receptive	receptive	ADJ
fcis-13847	65	33	field	field	NOUN
fcis-13847	65	34	with	with	ADP
fcis-13847	65	35	channel	channel	NOUN
fcis-13847	65	36	weights	weight	NOUN
fcis-13847	65	37	is	be	AUX
fcis-13847	65	38	introduced	introduce	VERB
fcis-13847	65	39	,	,	PUNCT
fcis-13847	65	40	which	which	PRON
fcis-13847	65	41	is	be	AUX
fcis-13847	65	42	improved	improve	VERB
fcis-13847	65	43	from	from	ADP
fcis-13847	65	44	the	the	DET
fcis-13847	65	45	previous	previous	ADJ
fcis-13847	65	46	local	local	ADJ
fcis-13847	65	47	receptive	receptive	ADJ
fcis-13847	65	48	field	field	NOUN
fcis-13847	65	49	around	around	ADP
fcis-13847	65	50	the	the	DET
fcis-13847	65	51	central	central	ADJ
fcis-13847	65	52	point	point	NOUN
fcis-13847	65	53	to	to	ADP
fcis-13847	65	54	the	the	DET
fcis-13847	65	55	global	global	ADJ
fcis-13847	65	56	receptive	receptive	ADJ
fcis-13847	65	57	field	field	NOUN
fcis-13847	65	58	,	,	PUNCT
fcis-13847	65	59	and	and	CCONJ
fcis-13847	65	60	the	the	DET
fcis-13847	65	61	range	range	NOUN
fcis-13847	65	62	of	of	ADP
fcis-13847	65	63	information	information	NOUN
fcis-13847	65	64	acquisition	acquisition	NOUN
fcis-13847	65	65	is	be	AUX
fcis-13847	65	66	further	far	ADV
fcis-13847	65	67	improved	improve	VERB
fcis-13847	65	68	.	.	PUNCT
fcis-13847	66	1	ovrafe	ovrafe	ADJ
fcis-13847	66	2	module	module	NOUN
fcis-13847	66	3	contains	contain	VERB
fcis-13847	66	4	three	three	NUM
fcis-13847	66	5	sub	sub	NOUN
fcis-13847	66	6	-	-	NOUN
fcis-13847	66	7	modules	module	NOUN
fcis-13847	66	8	,	,	PUNCT
fcis-13847	66	9	including	include	VERB
fcis-13847	66	10	channel	channel	NOUN
fcis-13847	66	11	weighting	weighting	NOUN
fcis-13847	66	12	module	module	NOUN
fcis-13847	66	13	,	,	PUNCT
fcis-13847	66	14	upsampled	upsample	VERB
fcis-13847	66	15	kernel	kernel	PROPN
fcis-13847	66	16	prediction	prediction	NOUN
fcis-13847	66	17	module	module	NOUN
fcis-13847	66	18	and	and	CCONJ
fcis-13847	66	19	feature	feature	NOUN
fcis-13847	66	20	recombination	recombination	NOUN
fcis-13847	66	21	module	module	NOUN
fcis-13847	66	22	,	,	PUNCT
fcis-13847	66	23	as	as	SCONJ
fcis-13847	66	24	shown	show	VERB
fcis-13847	66	25	in	in	ADP
fcis-13847	66	26	figure	figure	NOUN
fcis-13847	66	27	3	3	NUM
fcis-13847	66	28	.	.	PUNCT
fcis-13847	67	1	the	the	DET
fcis-13847	67	2	process	process	NOUN
fcis-13847	67	3	is	be	AUX
fcis-13847	67	4	as	as	SCONJ
fcis-13847	67	5	follows	follow	VERB
fcis-13847	67	6	:	:	PUNCT
fcis-13847	67	7	fig	fig	NOUN
fcis-13847	67	8	3	3	NUM
fcis-13847	67	9	.	.	PUNCT
fcis-13847	68	1	the	the	DET
fcis-13847	68	2	working	work	VERB
fcis-13847	68	3	process	process	NOUN
fcis-13847	68	4	of	of	ADP
fcis-13847	68	5	ovrafe	ovrafe	ADJ
fcis-13847	68	6	module	module	NOUN
fcis-13847	68	7	1	1	NUM
fcis-13847	68	8	)	)	PUNCT
fcis-13847	68	9	the	the	DET
fcis-13847	68	10	channel	channel	NOUN
fcis-13847	68	11	weighting	weight	VERB
fcis-13847	68	12	module	module	NOUN
fcis-13847	68	13	assigns	assign	NOUN
fcis-13847	68	14	weights	weight	NOUN
fcis-13847	68	15	to	to	ADP
fcis-13847	68	16	all	all	DET
fcis-13847	68	17	channels	channel	NOUN
fcis-13847	68	18	in	in	ADP
fcis-13847	68	19	the	the	DET
fcis-13847	68	20	feature	feature	NOUN
fcis-13847	68	21	graph	graph	NOUN
fcis-13847	68	22	f	f	PROPN
fcis-13847	68	23	and	and	CCONJ
fcis-13847	68	24	multiplicates	multiplicate	NOUN
fcis-13847	68	25	with	with	ADP
fcis-13847	68	26	the	the	DET
fcis-13847	68	27	feature	feature	NOUN
fcis-13847	68	28	graph	graph	NOUN
fcis-13847	68	29	f	f	PROPN
fcis-13847	68	30	to	to	PART
fcis-13847	68	31	obtain	obtain	VERB
fcis-13847	68	32	the	the	DET
fcis-13847	68	33	weighted	weight	VERB
fcis-13847	68	34	feature	feature	NOUN
fcis-13847	68	35	graph	graph	NOUN
fcis-13847	68	36	fn	fn	NOUN
fcis-13847	68	37	.	.	PUNCT
fcis-13847	69	1	the	the	DET
fcis-13847	69	2	up	up	ADV
fcis-13847	69	3	-	-	PUNCT
fcis-13847	69	4	sampled	sample	VERB
fcis-13847	69	5	kernel	kernel	NOUN
fcis-13847	69	6	d	d	NOUN
fcis-13847	69	7	is	be	AUX
fcis-13847	69	8	predicted	predict	VERB
fcis-13847	69	9	by	by	ADP
fcis-13847	69	10	the	the	DET
fcis-13847	69	11	up	up	ADV
fcis-13847	69	12	-	-	PUNCT
fcis-13847	69	13	sampled	sample	VERB
fcis-13847	69	14	kernel	kernel	NOUN
fcis-13847	69	15	prediction	prediction	NOUN
fcis-13847	69	16	module	module	NOUN
fcis-13847	69	17	.	.	PUNCT
fcis-13847	70	1	finally	finally	ADV
fcis-13847	70	2	,	,	PUNCT
fcis-13847	70	3	the	the	DET
fcis-13847	70	4	feature	feature	NOUN
fcis-13847	70	5	graph	graph	NOUN
fcis-13847	70	6	f	f	PROPN
fcis-13847	70	7	and	and	CCONJ
fcis-13847	70	8	the	the	DET
fcis-13847	70	9	upsampled	upsample	VERB
fcis-13847	70	10	kernel	kernel	PROPN
fcis-13847	70	11	d	d	X
fcis-13847	70	12	are	be	AUX
fcis-13847	70	13	recombined	recombined	ADJ
fcis-13847	70	14	to	to	PART
fcis-13847	70	15	obtain	obtain	VERB
fcis-13847	70	16	the	the	DET
fcis-13847	70	17	final	final	ADJ
fcis-13847	70	18	output	output	NOUN
fcis-13847	70	19	feature	feature	NOUN
fcis-13847	70	20	graph	graph	NOUN
fcis-13847	70	21	fm	fm	PROPN
fcis-13847	70	22	.	.	PUNCT
fcis-13847	71	1	all	all	DET
fcis-13847	71	2	symbols	symbol	NOUN
fcis-13847	71	3	are	be	AUX
fcis-13847	71	4	shown	show	VERB
fcis-13847	71	5	in	in	ADP
fcis-13847	71	6	table	table	NOUN
fcis-13847	71	7	1	1	NUM
fcis-13847	71	8	.	.	PUNCT
fcis-13847	71	9	assume	assume	VERB
fcis-13847	71	10	that	that	SCONJ
fcis-13847	71	11	the	the	DET
fcis-13847	71	12	input	input	NOUN
fcis-13847	71	13	size	size	NOUN
fcis-13847	71	14	of	of	ADP
fcis-13847	71	15	feature	feature	NOUN
fcis-13847	71	16	graph	graph	NOUN
fcis-13847	71	17	f	f	PROPN
fcis-13847	71	18	is	be	AUX
fcis-13847	71	19	h×w×c	h×w×c	VERB
fcis-13847	71	20	.	.	PUNCT
fcis-13847	72	1	in	in	ADP
fcis-13847	72	2	the	the	DET
fcis-13847	72	3	module	module	NOUN
fcis-13847	72	4	of	of	ADP
fcis-13847	72	5	channel	channel	NOUN
fcis-13847	72	6	weighting	weighting	NOUN
fcis-13847	72	7	,	,	PUNCT
fcis-13847	72	8	the	the	DET
fcis-13847	72	9	feature	feature	NOUN
fcis-13847	72	10	graph	graph	NOUN
fcis-13847	72	11	f	f	X
fcis-13847	72	12	is	be	AUX
fcis-13847	72	13	globally	globally	ADV
fcis-13847	72	14	averaged	average	VERB
fcis-13847	72	15	,	,	PUNCT
fcis-13847	72	16	and	and	CCONJ
fcis-13847	72	17	each	each	DET
fcis-13847	72	18	channel	channel	NOUN
fcis-13847	72	19	corresponds	correspond	VERB
fcis-13847	72	20	to	to	ADP
fcis-13847	72	21	a	a	DET
fcis-13847	72	22	vector	vector	NOUN
fcis-13847	72	23	.	.	PUNCT
fcis-13847	73	1	after	after	ADP
fcis-13847	73	2	integration	integration	NOUN
fcis-13847	73	3	,	,	PUNCT
fcis-13847	73	4	activation	activation	NOUN
fcis-13847	73	5	function	function	NOUN
fcis-13847	73	6	relu	relu	NOUN
fcis-13847	73	7	and	and	CCONJ
fcis-13847	73	8	sigmoid	sigmoid	NOUN
fcis-13847	73	9	are	be	AUX
fcis-13847	73	10	used	use	VERB
fcis-13847	73	11	to	to	PART
fcis-13847	73	12	process	process	VERB
fcis-13847	73	13	the	the	DET
fcis-13847	73	14	channel	channel	NOUN
fcis-13847	73	15	weight	weight	NOUN
fcis-13847	73	16	matrix	matrix	NOUN
fcis-13847	73	17	s	s	NOUN
fcis-13847	73	18	,	,	PUNCT
fcis-13847	73	19	and	and	CCONJ
fcis-13847	73	20	the	the	DET
fcis-13847	73	21	matrix	matrix	NOUN
fcis-13847	73	22	is	be	AUX
fcis-13847	73	23	multiplied	multiply	VERB
fcis-13847	73	24	with	with	ADP
fcis-13847	73	25	the	the	DET
fcis-13847	73	26	corresponding	correspond	VERB
fcis-13847	73	27	channel	channel	NOUN
fcis-13847	73	28	of	of	ADP
fcis-13847	73	29	feature	feature	NOUN
fcis-13847	73	30	graph	graph	NOUN
fcis-13847	73	31	f	f	PROPN
fcis-13847	73	32	to	to	PART
fcis-13847	73	33	obtain	obtain	VERB
fcis-13847	73	34	the	the	DET
fcis-13847	73	35	feature	feature	NOUN
fcis-13847	73	36	graph	graph	NOUN
fcis-13847	73	37	fn	fn	NOUN
fcis-13847	73	38	:	:	PUNCT
fcis-13847	73	39	s	s	ADP
fcis-13847	73	40	nf	nf	ADP
fcis-13847	73	41	f	f	X
fcis-13847	73	42	(	(	PUNCT
fcis-13847	73	43	1	1	NUM
fcis-13847	73	44	)	)	PUNCT
fcis-13847	73	45	2	2	NUM
fcis-13847	73	46	)	)	PUNCT
fcis-13847	73	47	assume	assume	VERB
fcis-13847	73	48	that	that	SCONJ
fcis-13847	73	49	the	the	DET
fcis-13847	73	50	up	up	ADV
fcis-13847	73	51	-	-	PUNCT
fcis-13847	73	52	sampling	sample	VERB
fcis-13847	73	53	rate	rate	NOUN
fcis-13847	73	54	is	be	AUX
fcis-13847	73	55	σ	σ	NOUN
fcis-13847	73	56	in	in	ADP
fcis-13847	73	57	the	the	DET
fcis-13847	73	58	up	up	ADV
fcis-13847	73	59	-	-	PUNCT
fcis-13847	73	60	sampling	sample	VERB
fcis-13847	73	61	kernel	kernel	NOUN
fcis-13847	73	62	prediction	prediction	NOUN
fcis-13847	73	63	module	module	NOUN
fcis-13847	73	64	,	,	PUNCT
fcis-13847	73	65	and	and	CCONJ
fcis-13847	73	66	the	the	DET
fcis-13847	73	67	processing	processing	NOUN
fcis-13847	73	68	process	process	NOUN
fcis-13847	73	69	of	of	ADP
fcis-13847	73	70	the	the	DET
fcis-13847	73	71	input	input	NOUN
fcis-13847	73	72	feature	feature	NOUN
fcis-13847	73	73	graph	graph	NOUN
fcis-13847	73	74	f	f	NOUN
fcis-13847	73	75	is	be	AUX
fcis-13847	73	76	as	as	SCONJ
fcis-13847	73	77	follows	follow	VERB
fcis-13847	73	78	:	:	PUNCT
fcis-13847	73	79	(	(	PUNCT
fcis-13847	73	80	1)1×1	1)1×1	NUM
fcis-13847	73	81	convolution	convolution	NOUN
fcis-13847	73	82	was	be	AUX
fcis-13847	73	83	used	use	VERB
fcis-13847	73	84	to	to	PART
fcis-13847	73	85	compress	compress	VERB
fcis-13847	73	86	the	the	DET
fcis-13847	73	87	number	number	NOUN
fcis-13847	73	88	of	of	ADP
fcis-13847	73	89	channels	channel	NOUN
fcis-13847	73	90	to	to	ADP
fcis-13847	73	91	h×w×cm	h×w×cm	PROPN
fcis-13847	73	92	to	to	PART
fcis-13847	73	93	reduce	reduce	VERB
fcis-13847	73	94	the	the	DET
fcis-13847	73	95	amount	amount	NOUN
fcis-13847	73	96	of	of	ADP
fcis-13847	73	97	computation	computation	NOUN
fcis-13847	73	98	in	in	ADP
fcis-13847	73	99	subsequent	subsequent	ADJ
fcis-13847	73	100	steps	step	NOUN
fcis-13847	73	101	;	;	PUNCT
fcis-13847	73	102	(	(	PUNCT
fcis-13847	73	103	2)for	2)for	NUM
fcis-13847	73	104	content	content	NOUN
fcis-13847	73	105	coding	coding	NOUN
fcis-13847	73	106	and	and	CCONJ
fcis-13847	73	107	up	up	ADV
fcis-13847	73	108	-	-	PUNCT
fcis-13847	73	109	sampling	sample	VERB
fcis-13847	73	110	kernel	kernel	NOUN
fcis-13847	73	111	prediction	prediction	NOUN
fcis-13847	73	112	,	,	PUNCT
fcis-13847	73	113	assuming	assume	VERB
fcis-13847	73	114	that	that	SCONJ
fcis-13847	73	115	the	the	DET
fcis-13847	73	116	size	size	NOUN
fcis-13847	73	117	of	of	ADP
fcis-13847	73	118	the	the	DET
fcis-13847	73	119	up	up	ADV
fcis-13847	73	120	-	-	PUNCT
fcis-13847	73	121	sampling	sample	VERB
fcis-13847	73	122	kernel	kernel	NOUN
fcis-13847	73	123	is	be	AUX
fcis-13847	73	124	kj×kj	kj×kj	PROPN
fcis-13847	73	125	,	,	PUNCT
fcis-13847	73	126	the	the	DET
fcis-13847	73	127	size	size	NOUN
fcis-13847	73	128	of	of	ADP
fcis-13847	73	129	the	the	DET
fcis-13847	73	130	up	up	ADV
fcis-13847	73	131	-	-	PUNCT
fcis-13847	73	132	sampling	sample	VERB
fcis-13847	73	133	kernel	kernel	NOUN
fcis-13847	73	134	to	to	PART
fcis-13847	73	135	be	be	AUX
fcis-13847	73	136	predicted	predict	VERB
fcis-13847	73	137	is	be	AUX
fcis-13847	73	138	σh×σw×kj	σh×σw×kj	NUM
fcis-13847	73	139	2	2	NUM
fcis-13847	73	140	on	on	ADP
fcis-13847	73	141	the	the	DET
fcis-13847	73	142	premise	premise	NOUN
fcis-13847	73	143	that	that	SCONJ
fcis-13847	73	144	the	the	DET
fcis-13847	73	145	up	up	ADV
fcis-13847	73	146	-	-	PUNCT
fcis-13847	73	147	sampling	sample	VERB
fcis-13847	73	148	kernel	kernel	NOUN
fcis-13847	73	149	is	be	AUX
fcis-13847	73	150	used	use	VERB
fcis-13847	73	151	for	for	ADP
fcis-13847	73	152	all	all	DET
fcis-13847	73	153	positions	position	NOUN
fcis-13847	73	154	of	of	ADP
fcis-13847	73	155	the	the	DET
fcis-13847	73	156	output	output	NOUN
fcis-13847	73	157	feature	feature	NOUN
fcis-13847	73	158	map	map	NOUN
fcis-13847	73	159	;	;	PUNCT
fcis-13847	73	160	(	(	PUNCT
fcis-13847	73	161	3)a	3)a	NUM
fcis-13847	73	162	ki×ki	ki×ki	PROPN
fcis-13847	73	163	convolution	convolution	NOUN
fcis-13847	73	164	layer	layer	NOUN
fcis-13847	73	165	is	be	AUX
fcis-13847	73	166	used	use	VERB
fcis-13847	73	167	to	to	PART
fcis-13847	73	168	predict	predict	VERB
fcis-13847	73	169	the	the	DET
fcis-13847	73	170	compressed	compress	VERB
fcis-13847	73	171	feature	feature	NOUN
fcis-13847	73	172	graph	graph	NOUN
fcis-13847	73	173	in	in	ADP
fcis-13847	73	174	the	the	DET
fcis-13847	73	175	first	first	ADJ
fcis-13847	73	176	step	step	NOUN
fcis-13847	73	177	.	.	PUNCT
fcis-13847	74	1	the	the	DET
fcis-13847	74	2	number	number	NOUN
fcis-13847	74	3	of	of	ADP
fcis-13847	74	4	input	input	NOUN
fcis-13847	74	5	channels	channel	NOUN
fcis-13847	74	6	remains	remain	VERB
fcis-13847	74	7	unchanged	unchanged	ADJ
fcis-13847	74	8	,	,	PUNCT
fcis-13847	74	9	and	and	CCONJ
fcis-13847	74	10	the	the	DET
fcis-13847	74	11	number	number	NOUN
fcis-13847	74	12	of	of	ADP
fcis-13847	74	13	output	output	NOUN
fcis-13847	74	14	channels	channel	NOUN
fcis-13847	74	15	becomes	become	VERB
fcis-13847	74	16	σ2×kj	σ2×kj	PROPN
fcis-13847	74	17	2	2	NUM
fcis-13847	74	18	.	.	PUNCT
fcis-13847	75	1	the	the	DET
fcis-13847	75	2	channel	channel	NOUN
fcis-13847	75	3	dimension	dimension	NOUN
fcis-13847	75	4	is	be	AUX
fcis-13847	75	5	expanded	expand	VERB
fcis-13847	75	6	in	in	ADP
fcis-13847	75	7	spatial	spatial	ADJ
fcis-13847	75	8	dimension	dimension	NOUN
fcis-13847	75	9	,	,	PUNCT
fcis-13847	75	10	and	and	CCONJ
fcis-13847	75	11	the	the	DET
fcis-13847	75	12	size	size	NOUN
fcis-13847	75	13	of	of	ADP
fcis-13847	75	14	the	the	DET
fcis-13847	75	15	up	up	ADV
fcis-13847	75	16	-	-	PUNCT
fcis-13847	75	17	sampled	sample	VERB
fcis-13847	75	18	kernel	kernel	NOUN
fcis-13847	75	19	is	be	AUX
fcis-13847	75	20	σh×σw×kj	σh×σw×kj	NOUN
fcis-13847	75	21	2	2	NUM
fcis-13847	75	22	,	,	PUNCT
fcis-13847	75	23	and	and	CCONJ
fcis-13847	75	24	the	the	DET
fcis-13847	75	25	reconstructed	reconstructed	ADJ
fcis-13847	75	26	kernel	kernel	NOUN
fcis-13847	75	27	is	be	AUX
fcis-13847	75	28	denoted	denote	VERB
fcis-13847	75	29	as	as	ADP
fcis-13847	75	30	wl	wl	PROPN
fcis-13847	75	31	;	;	PUNCT
fcis-13847	75	32	(	(	PUNCT
fcis-13847	75	33	4)softmax	4)softmax	NUM
fcis-13847	75	34	function	function	NOUN
fcis-13847	75	35	is	be	AUX
fcis-13847	75	36	used	use	VERB
fcis-13847	75	37	to	to	PART
fcis-13847	75	38	process	process	VERB
fcis-13847	75	39	the	the	DET
fcis-13847	75	40	upsampled	upsample	VERB
fcis-13847	75	41	kernel	kernel	NOUN
fcis-13847	75	42	obtained	obtain	VERB
fcis-13847	75	43	in	in	ADP
fcis-13847	75	44	the	the	DET
fcis-13847	75	45	third	third	ADJ
fcis-13847	75	46	step	step	NOUN
fcis-13847	75	47	,	,	PUNCT
fcis-13847	75	48	the	the	DET
fcis-13847	75	49	main	main	ADJ
fcis-13847	75	50	purpose	purpose	NOUN
fcis-13847	75	51	is	be	AUX
fcis-13847	75	52	to	to	PART
fcis-13847	75	53	normalize	normalize	VERB
fcis-13847	75	54	,	,	PUNCT
fcis-13847	75	55	so	so	SCONJ
fcis-13847	75	56	that	that	SCONJ
fcis-13847	75	57	the	the	DET
fcis-13847	75	58	weight	weight	NOUN
fcis-13847	75	59	sum	sum	NOUN
fcis-13847	75	60	of	of	ADP
fcis-13847	75	61	the	the	DET
fcis-13847	75	62	convolution	convolution	NOUN
fcis-13847	75	63	kernel	kernel	NOUN
fcis-13847	75	64	is	be	AUX
fcis-13847	75	65	1	1	NUM
fcis-13847	75	66	.	.	NOUN
fcis-13847	75	67	3	3	NUM
fcis-13847	75	68	)	)	PUNCT
fcis-13847	75	69	in	in	ADP
fcis-13847	75	70	the	the	DET
fcis-13847	75	71	feature	feature	NOUN
fcis-13847	75	72	recombination	recombination	NOUN
fcis-13847	75	73	module	module	NOUN
fcis-13847	75	74	,	,	PUNCT
fcis-13847	75	75	for	for	ADP
fcis-13847	75	76	each	each	DET
fcis-13847	75	77	part	part	NOUN
fcis-13847	75	78	of	of	ADP
fcis-13847	75	79	the	the	DET
fcis-13847	75	80	feature	feature	NOUN
fcis-13847	75	81	map	map	NOUN
fcis-13847	75	82	output	output	NOUN
fcis-13847	75	83	from	from	ADP
fcis-13847	75	84	the	the	DET
fcis-13847	75	85	previous	previous	ADJ
fcis-13847	75	86	module	module	NOUN
fcis-13847	75	87	,	,	PUNCT
fcis-13847	75	88	map	map	VERB
fcis-13847	75	89	them	they	PRON
fcis-13847	75	90	in	in	ADP
fcis-13847	75	91	situ	situ	NOUN
fcis-13847	75	92	according	accord	VERB
fcis-13847	75	93	to	to	ADP
fcis-13847	75	94	the	the	DET
fcis-13847	75	95	position	position	NOUN
fcis-13847	75	96	of	of	ADP
fcis-13847	75	97	the	the	DET
fcis-13847	75	98	input	input	NOUN
fcis-13847	75	99	feature	feature	NOUN
fcis-13847	75	100	map	map	NOUN
fcis-13847	75	101	,	,	PUNCT
fcis-13847	75	102	and	and	CCONJ
fcis-13847	75	103	then	then	ADV
fcis-13847	75	104	select	select	VERB
fcis-13847	75	105	this	this	DET
fcis-13847	75	106	position	position	NOUN
fcis-13847	75	107	as	as	ADP
fcis-13847	75	108	the	the	DET
fcis-13847	75	109	center	center	NOUN
fcis-13847	75	110	of	of	ADP
fcis-13847	75	111	the	the	DET
fcis-13847	75	112	square	square	ADJ
fcis-13847	75	113	region	region	NOUN
fcis-13847	75	114	with	with	ADP
fcis-13847	75	115	the	the	DET
fcis-13847	75	116	range	range	NOUN
fcis-13847	75	117	of	of	ADP
fcis-13847	75	118	kj×kj	kj×kj	PROPN
fcis-13847	75	119	.	.	PUNCT
fcis-13847	76	1	in	in	ADP
fcis-13847	76	2	the	the	DET
fcis-13847	76	3	feature	feature	NOUN
fcis-13847	76	4	map	map	NOUN
fcis-13847	76	5	fn	fn	NOUN
fcis-13847	76	6	,	,	PUNCT
fcis-13847	76	7	mark	mark	VERB
fcis-13847	76	8	all	all	DET
fcis-13847	76	9	such	such	ADJ
fcis-13847	76	10	square	square	ADJ
fcis-13847	76	11	fields	field	NOUN
fcis-13847	76	12	as	as	ADP
fcis-13847	76	13	n(fn	n(fn	PROPN
fcis-13847	76	14	,	,	PUNCT
fcis-13847	76	15	kj	kj	PROPN
fcis-13847	76	16	)	)	PUNCT
fcis-13847	76	17	,	,	PUNCT
fcis-13847	76	18	and	and	CCONJ
fcis-13847	76	19	do	do	VERB
fcis-13847	76	20	the	the	DET
fcis-13847	76	21	dot	dot	NOUN
fcis-13847	76	22	product	product	NOUN
fcis-13847	76	23	with	with	ADP
fcis-13847	76	24	the	the	DET
fcis-13847	76	25	predicted	predict	VERB
fcis-13847	76	26	upper	upper	ADJ
fcis-13847	76	27	sampling	sample	VERB
fcis-13847	76	28	kernel	kernel	NOUN
fcis-13847	76	29	of	of	ADP
fcis-13847	76	30	this	this	DET
fcis-13847	76	31	point	point	NOUN
fcis-13847	76	32	.	.	PUNCT
fcis-13847	77	1	the	the	DET
fcis-13847	77	2	output	output	NOUN
fcis-13847	77	3	feature	feature	NOUN
fcis-13847	77	4	graph	graph	NOUN
fcis-13847	77	5	fm	fm	PROPN
fcis-13847	77	6	is	be	AUX
fcis-13847	77	7	obtained	obtain	VERB
fcis-13847	77	8	:	:	PUNCT
fcis-13847	77	9	2	2	NUM
fcis-13847	77	10	(	(	PUNCT
fcis-13847	77	11	,	,	PUNCT
fcis-13847	77	12	)	)	PUNCT
fcis-13847	77	13	j	j	PROPN
fcis-13847	77	14	lsn	lsn	PROPN
fcis-13847	77	15	k	k	PROPN
fcis-13847	77	16	sw	sw	PROPN
fcis-13847	77	17	h	h	PROPN
fcis-13847	77	18	w	w	PROPN
fcis-13847	77	19	s	s	PROPN
fcis-13847	77	20	c	c	ADJ
fcis-13847	77	21			PROPN
fcis-13847	77	22			NUM
fcis-13847	77	23			NOUN
fcis-13847	78	1			PROPN
fcis-13847	79	1			PROPN
fcis-13847	80	1			PROPN
fcis-13847	81	1	nm	nm	ADV
fcis-13847	81	2	m	m	VERB
fcis-13847	82	1	f	f	X
fcis-13847	82	2	f	f	PROPN
fcis-13847	82	3	f	f	PROPN
fcis-13847	82	4	(	(	PUNCT
fcis-13847	82	5	2	2	NUM
fcis-13847	82	6	)	)	PUNCT
fcis-13847	82	7	as	as	SCONJ
fcis-13847	82	8	shown	show	VERB
fcis-13847	82	9	in	in	ADP
fcis-13847	82	10	figure	figure	NOUN
fcis-13847	82	11	3	3	NUM
fcis-13847	82	12	,	,	PUNCT
fcis-13847	82	13	the	the	DET
fcis-13847	82	14	feature	feature	NOUN
fcis-13847	82	15	map	map	NOUN
fcis-13847	82	16	is	be	AUX
fcis-13847	82	17	input	input	VERB
fcis-13847	82	18	into	into	ADP
fcis-13847	82	19	the	the	DET
fcis-13847	82	20	ovrafe	ovrafe	ADJ
fcis-13847	82	21	module	module	NOUN
fcis-13847	82	22	,	,	PUNCT
fcis-13847	82	23	and	and	CCONJ
fcis-13847	82	24	after	after	ADP
fcis-13847	82	25	feature	feature	NOUN
fcis-13847	82	26	recombination	recombination	NOUN
fcis-13847	82	27	operation	operation	NOUN
fcis-13847	82	28	,	,	PUNCT
fcis-13847	82	29	a	a	DET
fcis-13847	82	30	new	new	ADJ
fcis-13847	82	31	feature	feature	NOUN
fcis-13847	82	32	map	map	NOUN
fcis-13847	82	33	is	be	AUX
fcis-13847	82	34	output	output	NOUN
fcis-13847	82	35	.	.	PUNCT
fcis-13847	83	1	in	in	ADP
fcis-13847	83	2	the	the	DET
fcis-13847	83	3	output	output	NOUN
fcis-13847	83	4	feature	feature	NOUN
fcis-13847	83	5	map	map	NOUN
fcis-13847	83	6	,	,	PUNCT
fcis-13847	83	7	the	the	DET
fcis-13847	83	8	size	size	NOUN
fcis-13847	83	9	and	and	CCONJ
fcis-13847	83	10	brightness	brightness	NOUN
fcis-13847	83	11	of	of	ADP
fcis-13847	83	12	the	the	DET
fcis-13847	83	13	shadow	shadow	NOUN
fcis-13847	83	14	block	block	NOUN
fcis-13847	83	15	at	at	ADP
fcis-13847	83	16	different	different	ADJ
fcis-13847	83	17	positions	position	NOUN
fcis-13847	83	18	represent	represent	VERB
fcis-13847	83	19	the	the	DET
fcis-13847	83	20	model	model	NOUN
fcis-13847	83	21	's	's	PART
fcis-13847	83	22	attention	attention	NOUN
fcis-13847	83	23	to	to	ADP
fcis-13847	83	24	this	this	DET
fcis-13847	83	25	place	place	NOUN
fcis-13847	83	26	.	.	PUNCT
fcis-13847	84	1	a-1	a-1	PROPN
fcis-13847	84	2	a-2	a-2	PROPN
fcis-13847	84	3	b-1	b-1	PROPN
fcis-13847	84	4	b-2	b-2	PROPN
fcis-13847	84	5	fig	fig	PROPN
fcis-13847	84	6	4	4	NUM
fcis-13847	84	7	.	.	PUNCT
fcis-13847	85	1	the	the	DET
fcis-13847	85	2	shallow	shallow	ADJ
fcis-13847	85	3	feature	feature	NOUN
fcis-13847	85	4	map	map	NOUN
fcis-13847	85	5	and	and	CCONJ
fcis-13847	85	6	deep	deep	ADJ
fcis-13847	85	7	feature	feature	NOUN
fcis-13847	85	8	thermal	thermal	ADJ
fcis-13847	85	9	map	map	NOUN
fcis-13847	85	10	table	table	NOUN
fcis-13847	85	11	1	1	NUM
fcis-13847	85	12	.	.	PUNCT
fcis-13847	85	13	symbolic	symbolic	ADJ
fcis-13847	85	14	meaning	mean	VERB
fcis-13847	85	15	symbol	symbol	NOUN
fcis-13847	85	16	meaning	mean	VERB
fcis-13847	85	17	σ	σ	PROPN
fcis-13847	85	18	upsampling	upsample	VERB
fcis-13847	85	19	ratio	ratio	NOUN
fcis-13847	85	20	h	h	PROPN
fcis-13847	85	21	,	,	PUNCT
fcis-13847	85	22	w	w	PROPN
fcis-13847	85	23	,	,	PUNCT
fcis-13847	85	24	c	c	PROPN
fcis-13847	85	25	feature	feature	NOUN
fcis-13847	85	26	map	map	NOUN
fcis-13847	85	27	size	size	NOUN
fcis-13847	85	28	d	d	X
fcis-13847	85	29	upsampled	upsample	VERB
fcis-13847	85	30	kernel	kernel	PROPN
fcis-13847	85	31	f	f	PROPN
fcis-13847	85	32	initial	initial	ADJ
fcis-13847	85	33	feature	feature	NOUN
fcis-13847	85	34	map	map	NOUN
fcis-13847	85	35	fn	fn	NOUN
fcis-13847	85	36	feature	feature	NOUN
fcis-13847	85	37	map	map	NOUN
fcis-13847	85	38	with	with	ADP
fcis-13847	85	39	weights	weight	NOUN
fcis-13847	85	40	fm	fm	PROPN
fcis-13847	85	41	the	the	DET
fcis-13847	85	42	final	final	ADJ
fcis-13847	85	43	output	output	NOUN
fcis-13847	85	44	feature	feature	NOUN
fcis-13847	85	45	map	map	NOUN
fcis-13847	85	46	s	s	PART
fcis-13847	85	47	vector	vector	NOUN
fcis-13847	85	48	matrix	matrix	NOUN
fcis-13847	85	49	with	with	ADP
fcis-13847	85	50	weights	weight	NOUN
fcis-13847	85	51	kj	kj	PROPN
fcis-13847	85	52	size	size	NOUN
fcis-13847	85	53	of	of	ADP
fcis-13847	85	54	the	the	DET
fcis-13847	85	55	upsampled	upsample	VERB
fcis-13847	85	56	kernel	kernel	NOUN
fcis-13847	85	57	wl	wl	X
fcis-13847	85	58	the	the	DET
fcis-13847	85	59	reassembled	reassemble	VERB
fcis-13847	85	60	kernel	kernel	NOUN
fcis-13847	85	61	n(fm	n(fm	PROPN
fcis-13847	85	62	,	,	PUNCT
fcis-13847	85	63	kj	kj	PROPN
fcis-13847	85	64	)	)	PUNCT
fcis-13847	85	65	all	all	DET
fcis-13847	85	66	feature	feature	NOUN
fcis-13847	85	67	plots	plot	NOUN
fcis-13847	85	68	fm	fm	PROPN
fcis-13847	85	69	of	of	ADP
fcis-13847	85	70	size	size	NOUN
fcis-13847	85	71	kj	kj	PROPN
fcis-13847	85	72	as	as	SCONJ
fcis-13847	85	73	shown	show	VERB
fcis-13847	85	74	in	in	ADP
fcis-13847	85	75	figure	figure	NOUN
fcis-13847	85	76	4	4	NUM
fcis-13847	85	77	,	,	PUNCT
fcis-13847	85	78	subfigures	subfigure	NOUN
fcis-13847	85	79	a-1	a-1	PROPN
fcis-13847	85	80	and	and	CCONJ
fcis-13847	85	81	b-1	b-1	PROPN
fcis-13847	85	82	are	be	AUX
fcis-13847	85	83	the	the	DET
fcis-13847	85	84	feature	feature	NOUN
fcis-13847	85	85	maps	map	NOUN
fcis-13847	85	86	of	of	ADP
fcis-13847	85	87	the	the	DET
fcis-13847	85	88	shallow	shallow	ADJ
fcis-13847	85	89	network	network	NOUN
fcis-13847	85	90	,	,	PUNCT
fcis-13847	85	91	and	and	CCONJ
fcis-13847	85	92	a-2	a-2	PROPN
fcis-13847	85	93	and	and	CCONJ
fcis-13847	85	94	b-2	b-2	PROPN
fcis-13847	85	95	respectively	respectively	ADV
fcis-13847	85	96	correspond	correspond	VERB
fcis-13847	85	97	to	to	ADP
fcis-13847	85	98	the	the	DET
fcis-13847	85	99	feature	feature	NOUN
fcis-13847	85	100	heat	heat	NOUN
fcis-13847	85	101	maps	map	NOUN
fcis-13847	85	102	of	of	ADP
fcis-13847	85	103	the	the	DET
fcis-13847	85	104	deep	deep	ADJ
fcis-13847	85	105	network	network	NOUN
fcis-13847	85	106	after	after	ADP
fcis-13847	85	107	39	39	NUM
fcis-13847	85	108	a-1	a-1	NOUN
fcis-13847	85	109	and	and	CCONJ
fcis-13847	85	110	b-1	b-1	PROPN
fcis-13847	85	111	have	have	AUX
fcis-13847	85	112	been	be	AUX
fcis-13847	85	113	sampled	sample	VERB
fcis-13847	85	114	by	by	ADP
fcis-13847	85	115	multiple	multiple	ADJ
fcis-13847	85	116	ovrafe	ovrafe	ADJ
fcis-13847	85	117	modules	module	NOUN
fcis-13847	85	118	.	.	PUNCT
fcis-13847	86	1	the	the	DET
fcis-13847	86	2	highlighted	highlight	VERB
fcis-13847	86	3	color	color	NOUN
fcis-13847	86	4	blocks	block	NOUN
fcis-13847	86	5	covered	cover	VERB
fcis-13847	86	6	in	in	ADP
fcis-13847	86	7	the	the	DET
fcis-13847	86	8	feature	feature	NOUN
fcis-13847	86	9	maps	map	NOUN
fcis-13847	86	10	will	will	AUX
fcis-13847	86	11	attract	attract	VERB
fcis-13847	86	12	more	more	ADJ
fcis-13847	86	13	attention	attention	NOUN
fcis-13847	86	14	,	,	PUNCT
fcis-13847	86	15	so	so	SCONJ
fcis-13847	86	16	that	that	SCONJ
fcis-13847	86	17	the	the	DET
fcis-13847	86	18	network	network	NOUN
fcis-13847	86	19	has	have	VERB
fcis-13847	86	20	a	a	DET
fcis-13847	86	21	bias	bias	NOUN
fcis-13847	86	22	to	to	PART
fcis-13847	86	23	retain	retain	VERB
fcis-13847	86	24	correct	correct	ADJ
fcis-13847	86	25	target	target	NOUN
fcis-13847	86	26	feature	feature	NOUN
fcis-13847	86	27	information	information	NOUN
fcis-13847	86	28	.	.	PUNCT
fcis-13847	87	1	areas	area	NOUN
fcis-13847	87	2	with	with	ADP
fcis-13847	87	3	fewer	few	ADJ
fcis-13847	87	4	highlighted	highlight	VERB
fcis-13847	87	5	color	color	NOUN
fcis-13847	87	6	blocks	block	NOUN
fcis-13847	87	7	will	will	AUX
fcis-13847	87	8	reduce	reduce	VERB
fcis-13847	87	9	attention	attention	NOUN
fcis-13847	87	10	,	,	PUNCT
fcis-13847	87	11	suppressing	suppress	VERB
fcis-13847	87	12	the	the	DET
fcis-13847	87	13	impact	impact	NOUN
fcis-13847	87	14	of	of	ADP
fcis-13847	87	15	incorrect	incorrect	ADJ
fcis-13847	87	16	feature	feature	NOUN
fcis-13847	87	17	information	information	NOUN
fcis-13847	87	18	and	and	CCONJ
fcis-13847	87	19	unimportant	unimportant	ADJ
fcis-13847	87	20	background	background	NOUN
fcis-13847	87	21	information	information	NOUN
fcis-13847	87	22	.	.	PUNCT
fcis-13847	88	1	the	the	DET
fcis-13847	88	2	formula	formula	NOUN
fcis-13847	88	3	symbols	symbol	NOUN
fcis-13847	88	4	are	be	AUX
fcis-13847	88	5	shown	show	VERB
fcis-13847	88	6	in	in	ADP
fcis-13847	88	7	table	table	NOUN
fcis-13847	88	8	1	1	NUM
fcis-13847	88	9	.	.	X
fcis-13847	88	10	3.4	3.4	NUM
fcis-13847	88	11	.	.	PUNCT
fcis-13847	88	12	optimized	optimize	VERB
fcis-13847	88	13	head	head	NOUN
fcis-13847	88	14	network	network	NOUN
fcis-13847	88	15	in	in	ADP
fcis-13847	88	16	the	the	DET
fcis-13847	88	17	foggy	foggy	ADJ
fcis-13847	88	18	airport	airport	NOUN
fcis-13847	88	19	ground	ground	NOUN
fcis-13847	88	20	scene	scene	NOUN
fcis-13847	88	21	,	,	PUNCT
fcis-13847	88	22	the	the	DET
fcis-13847	88	23	size	size	NOUN
fcis-13847	88	24	of	of	ADP
fcis-13847	88	25	the	the	DET
fcis-13847	88	26	target	target	NOUN
fcis-13847	88	27	category	category	NOUN
fcis-13847	88	28	is	be	AUX
fcis-13847	88	29	different	different	ADJ
fcis-13847	88	30	,	,	PUNCT
fcis-13847	88	31	the	the	DET
fcis-13847	88	32	image	image	NOUN
fcis-13847	88	33	quality	quality	NOUN
fcis-13847	88	34	is	be	AUX
fcis-13847	88	35	degraded	degrade	VERB
fcis-13847	88	36	under	under	ADP
fcis-13847	88	37	the	the	DET
fcis-13847	88	38	influence	influence	NOUN
fcis-13847	88	39	of	of	ADP
fcis-13847	88	40	fog	fog	PROPN
fcis-13847	88	41	,	,	PUNCT
fcis-13847	88	42	and	and	CCONJ
fcis-13847	88	43	the	the	DET
fcis-13847	88	44	features	feature	NOUN
fcis-13847	88	45	of	of	ADP
fcis-13847	88	46	small	small	ADJ
fcis-13847	88	47	targets	target	NOUN
fcis-13847	88	48	are	be	AUX
fcis-13847	88	49	seriously	seriously	ADV
fcis-13847	88	50	lost	lose	VERB
fcis-13847	88	51	.	.	PUNCT
fcis-13847	89	1	it	it	PRON
fcis-13847	89	2	is	be	AUX
fcis-13847	89	3	difficult	difficult	ADJ
fcis-13847	89	4	for	for	SCONJ
fcis-13847	89	5	the	the	DET
fcis-13847	89	6	model	model	NOUN
fcis-13847	89	7	to	to	PART
fcis-13847	89	8	extract	extract	VERB
fcis-13847	89	9	the	the	DET
fcis-13847	89	10	feature	feature	NOUN
fcis-13847	89	11	details	detail	NOUN
fcis-13847	89	12	of	of	ADP
fcis-13847	89	13	small	small	ADJ
fcis-13847	89	14	targets	target	NOUN
fcis-13847	89	15	in	in	ADP
fcis-13847	89	16	the	the	DET
fcis-13847	89	17	foggy	foggy	ADJ
fcis-13847	89	18	scene	scene	NOUN
fcis-13847	89	19	,	,	PUNCT
fcis-13847	89	20	and	and	CCONJ
fcis-13847	89	21	it	it	PRON
fcis-13847	89	22	is	be	AUX
fcis-13847	89	23	unable	unable	ADJ
fcis-13847	89	24	to	to	PART
fcis-13847	89	25	effectively	effectively	ADV
fcis-13847	89	26	learn	learn	VERB
fcis-13847	89	27	the	the	DET
fcis-13847	89	28	correct	correct	ADJ
fcis-13847	89	29	features	feature	NOUN
fcis-13847	89	30	of	of	ADP
fcis-13847	89	31	small	small	ADJ
fcis-13847	89	32	targets	target	NOUN
fcis-13847	89	33	in	in	ADP
fcis-13847	89	34	the	the	DET
fcis-13847	89	35	foggy	foggy	ADJ
fcis-13847	89	36	day	day	NOUN
fcis-13847	89	37	,	,	PUNCT
fcis-13847	89	38	which	which	PRON
fcis-13847	89	39	ultimately	ultimately	ADV
fcis-13847	89	40	leads	lead	VERB
fcis-13847	89	41	to	to	ADP
fcis-13847	89	42	the	the	DET
fcis-13847	89	43	insufficient	insufficient	ADJ
fcis-13847	89	44	detection	detection	NOUN
fcis-13847	89	45	performance	performance	NOUN
fcis-13847	89	46	of	of	ADP
fcis-13847	89	47	the	the	DET
fcis-13847	89	48	model	model	NOUN
fcis-13847	89	49	for	for	ADP
fcis-13847	89	50	small	small	ADJ
fcis-13847	89	51	targets	target	NOUN
fcis-13847	89	52	in	in	ADP
fcis-13847	89	53	the	the	DET
fcis-13847	89	54	foggy	foggy	ADJ
fcis-13847	89	55	day	day	NOUN
fcis-13847	89	56	.	.	PUNCT
fcis-13847	90	1	in	in	ADP
fcis-13847	90	2	order	order	NOUN
fcis-13847	90	3	to	to	PART
fcis-13847	90	4	optimize	optimize	VERB
fcis-13847	90	5	the	the	DET
fcis-13847	90	6	performance	performance	NOUN
fcis-13847	90	7	of	of	ADP
fcis-13847	90	8	yolo	yolo	ADJ
fcis-13847	90	9	v7	v7	VERB
fcis-13847	90	10	model	model	NOUN
fcis-13847	90	11	in	in	ADP
fcis-13847	90	12	detecting	detect	VERB
fcis-13847	90	13	small	small	ADJ
fcis-13847	90	14	targets	target	NOUN
fcis-13847	90	15	in	in	ADP
fcis-13847	90	16	fog	fog	PROPN
fcis-13847	90	17	environment	environment	NOUN
fcis-13847	90	18	,	,	PUNCT
fcis-13847	90	19	the	the	DET
fcis-13847	90	20	network	network	NOUN
fcis-13847	90	21	structure	structure	NOUN
fcis-13847	90	22	is	be	AUX
fcis-13847	90	23	deepened	deepen	VERB
fcis-13847	90	24	on	on	ADP
fcis-13847	90	25	the	the	DET
fcis-13847	90	26	basis	basis	NOUN
fcis-13847	90	27	of	of	ADP
fcis-13847	90	28	the	the	DET
fcis-13847	90	29	original	original	ADJ
fcis-13847	90	30	three	three	NUM
fcis-13847	90	31	size	size	NOUN
fcis-13847	90	32	detection	detection	NOUN
fcis-13847	90	33	heads	head	NOUN
fcis-13847	90	34	of	of	ADP
fcis-13847	90	35	20×20	20×20	NUM
fcis-13847	90	36	,	,	PUNCT
fcis-13847	90	37	40×40	40×40	NUM
fcis-13847	90	38	and	and	CCONJ
fcis-13847	90	39	80×80	80×80	NUM
fcis-13847	90	40	,	,	PUNCT
fcis-13847	90	41	and	and	CCONJ
fcis-13847	90	42	a	a	DET
fcis-13847	90	43	target	target	NOUN
fcis-13847	90	44	detection	detection	NOUN
fcis-13847	90	45	head	head	NOUN
fcis-13847	90	46	nehead	nehead	VERB
fcis-13847	90	47	with	with	ADP
fcis-13847	90	48	3d	3d	NUM
fcis-13847	90	49	attention	attention	NOUN
fcis-13847	90	50	mechanism	mechanism	NOUN
fcis-13847	90	51	is	be	AUX
fcis-13847	90	52	added	add	VERB
fcis-13847	90	53	,	,	PUNCT
fcis-13847	90	54	which	which	PRON
fcis-13847	90	55	outputs	output	VERB
fcis-13847	90	56	160×160	160×160	NUM
fcis-13847	90	57	large	large	ADJ
fcis-13847	90	58	-	-	PUNCT
fcis-13847	90	59	size	size	NOUN
fcis-13847	90	60	feature	feature	NOUN
fcis-13847	90	61	maps	map	NOUN
fcis-13847	90	62	.	.	PUNCT
fcis-13847	91	1	in	in	ADP
fcis-13847	91	2	the	the	DET
fcis-13847	91	3	deep	deep	ADJ
fcis-13847	91	4	network	network	NOUN
fcis-13847	91	5	,	,	PUNCT
fcis-13847	91	6	the	the	DET
fcis-13847	91	7	feature	feature	NOUN
fcis-13847	91	8	map	map	NOUN
fcis-13847	91	9	is	be	AUX
fcis-13847	91	10	undersampled	undersampled	ADJ
fcis-13847	91	11	at	at	ADP
fcis-13847	91	12	a	a	DET
fcis-13847	91	13	high	high	ADJ
fcis-13847	91	14	multiple	multiple	NOUN
fcis-13847	91	15	and	and	CCONJ
fcis-13847	91	16	the	the	DET
fcis-13847	91	17	feature	feature	NOUN
fcis-13847	91	18	details	detail	NOUN
fcis-13847	91	19	of	of	ADP
fcis-13847	91	20	small	small	ADJ
fcis-13847	91	21	targets	target	NOUN
fcis-13847	91	22	are	be	AUX
fcis-13847	91	23	mixed	mix	VERB
fcis-13847	91	24	with	with	ADP
fcis-13847	91	25	fog	fog	NOUN
fcis-13847	91	26	in	in	ADP
fcis-13847	91	27	the	the	DET
fcis-13847	91	28	background	background	NOUN
fcis-13847	91	29	,	,	PUNCT
fcis-13847	91	30	so	so	SCONJ
fcis-13847	91	31	the	the	DET
fcis-13847	91	32	model	model	NOUN
fcis-13847	91	33	can	can	AUX
fcis-13847	91	34	not	not	PART
fcis-13847	91	35	extract	extract	VERB
fcis-13847	91	36	enough	enough	ADJ
fcis-13847	91	37	correct	correct	ADJ
fcis-13847	91	38	features	feature	NOUN
fcis-13847	91	39	.	.	PUNCT
fcis-13847	92	1	more	more	ADV
fcis-13847	92	2	detailed	detailed	ADJ
fcis-13847	92	3	features	feature	NOUN
fcis-13847	92	4	of	of	ADP
fcis-13847	92	5	small	small	ADJ
fcis-13847	92	6	targets	target	NOUN
fcis-13847	92	7	are	be	AUX
fcis-13847	92	8	needed	need	VERB
fcis-13847	92	9	.	.	PUNCT
fcis-13847	93	1	residual	residual	ADJ
fcis-13847	93	2	connections	connection	NOUN
fcis-13847	93	3	are	be	AUX
fcis-13847	93	4	made	make	VERB
fcis-13847	93	5	between	between	ADP
fcis-13847	93	6	the	the	DET
fcis-13847	93	7	head	head	NOUN
fcis-13847	93	8	layer	layer	NOUN
fcis-13847	93	9	and	and	CCONJ
fcis-13847	93	10	the	the	DET
fcis-13847	93	11	shallow	shallow	ADJ
fcis-13847	93	12	layer	layer	NOUN
fcis-13847	93	13	of	of	ADP
fcis-13847	93	14	backbone	backbone	NOUN
fcis-13847	93	15	network	network	NOUN
fcis-13847	93	16	to	to	PART
fcis-13847	93	17	obtain	obtain	VERB
fcis-13847	93	18	features	feature	NOUN
fcis-13847	93	19	from	from	ADP
fcis-13847	93	20	the	the	DET
fcis-13847	93	21	feature	feature	NOUN
fcis-13847	93	22	map	map	NOUN
fcis-13847	93	23	of	of	ADP
fcis-13847	93	24	the	the	DET
fcis-13847	93	25	shallow	shallow	ADJ
fcis-13847	93	26	layer	layer	NOUN
fcis-13847	93	27	of	of	ADP
fcis-13847	93	28	the	the	DET
fcis-13847	93	29	network	network	NOUN
fcis-13847	93	30	.	.	PUNCT
fcis-13847	94	1	improve	improve	VERB
fcis-13847	94	2	the	the	DET
fcis-13847	94	3	feature	feature	NOUN
fcis-13847	94	4	extraction	extraction	NOUN
fcis-13847	94	5	ability	ability	NOUN
fcis-13847	94	6	of	of	ADP
fcis-13847	94	7	small	small	ADJ
fcis-13847	94	8	targets	target	NOUN
fcis-13847	94	9	in	in	ADP
fcis-13847	94	10	foggy	foggy	ADJ
fcis-13847	94	11	days	day	NOUN
fcis-13847	94	12	.	.	PUNCT
fcis-13847	95	1	the	the	DET
fcis-13847	95	2	structure	structure	NOUN
fcis-13847	95	3	of	of	ADP
fcis-13847	95	4	the	the	DET
fcis-13847	95	5	improved	improved	ADJ
fcis-13847	95	6	btm	btm	PROPN
fcis-13847	95	7	-	-	PUNCT
fcis-13847	95	8	yolo	yolo	PROPN
fcis-13847	95	9	network	network	NOUN
fcis-13847	95	10	is	be	AUX
fcis-13847	95	11	shown	show	VERB
fcis-13847	95	12	in	in	ADP
fcis-13847	95	13	figure	figure	NOUN
fcis-13847	95	14	2	2	NUM
fcis-13847	95	15	above	above	ADV
fcis-13847	95	16	,	,	PUNCT
fcis-13847	95	17	and	and	CCONJ
fcis-13847	95	18	the	the	DET
fcis-13847	95	19	structure	structure	NOUN
fcis-13847	95	20	of	of	ADP
fcis-13847	95	21	the	the	DET
fcis-13847	95	22	detection	detection	NOUN
fcis-13847	95	23	head	head	NOUN
fcis-13847	95	24	is	be	AUX
fcis-13847	95	25	shown	show	VERB
fcis-13847	95	26	in	in	ADP
fcis-13847	95	27	figure	figure	NOUN
fcis-13847	95	28	5	5	NUM
fcis-13847	95	29	below	below	ADV
fcis-13847	95	30	:	:	PUNCT
fcis-13847	95	31	fig	fig	NOUN
fcis-13847	95	32	5	5	NUM
fcis-13847	95	33	.	.	PUNCT
fcis-13847	95	34	detection	detection	NOUN
fcis-13847	95	35	head	head	NOUN
fcis-13847	95	36	structure	structure	NOUN
fcis-13847	95	37	with	with	ADP
fcis-13847	95	38	three	three	NUM
fcis-13847	95	39	dimensional	dimensional	ADJ
fcis-13847	95	40	attention	attention	NOUN
fcis-13847	95	41	mechanism	mechanism	NOUN
fcis-13847	95	42	on	on	ADP
fcis-13847	95	43	the	the	DET
fcis-13847	95	44	basis	basis	NOUN
fcis-13847	95	45	of	of	ADP
fcis-13847	95	46	two	two	NUM
fcis-13847	95	47	-	-	PUNCT
fcis-13847	95	48	dimensional	dimensional	ADJ
fcis-13847	95	49	channel	channel	NOUN
fcis-13847	95	50	attention	attention	NOUN
fcis-13847	95	51	and	and	CCONJ
fcis-13847	95	52	spatial	spatial	ADJ
fcis-13847	95	53	attention	attention	NOUN
fcis-13847	95	54	,	,	PUNCT
fcis-13847	95	55	simam	simam	ADJ
fcis-13847	95	56	attention	attention	NOUN
fcis-13847	95	57	mechanism[18	mechanism[18	NOUN
fcis-13847	95	58	]	]	PUNCT
fcis-13847	95	59	introduces	introduce	VERB
fcis-13847	95	60	the	the	DET
fcis-13847	95	61	third	third	ADJ
fcis-13847	95	62	dimension	dimension	NOUN
fcis-13847	95	63	"	"	PUNCT
fcis-13847	95	64	energy	energy	NOUN
fcis-13847	95	65	"	"	PUNCT
fcis-13847	95	66	to	to	PART
fcis-13847	95	67	obtain	obtain	VERB
fcis-13847	95	68	more	more	ADJ
fcis-13847	95	69	information	information	NOUN
fcis-13847	95	70	.	.	PUNCT
fcis-13847	96	1	in	in	ADP
fcis-13847	96	2	neuroscience	neuroscience	NOUN
fcis-13847	96	3	,	,	PUNCT
fcis-13847	96	4	the	the	DET
fcis-13847	96	5	firing	firing	NOUN
fcis-13847	96	6	patterns	pattern	NOUN
fcis-13847	96	7	of	of	ADP
fcis-13847	96	8	information	information	NOUN
fcis-13847	96	9	-	-	PUNCT
fcis-13847	96	10	rich	rich	ADJ
fcis-13847	96	11	neurons	neuron	NOUN
fcis-13847	96	12	are	be	AUX
fcis-13847	96	13	different	different	ADJ
fcis-13847	96	14	from	from	ADP
fcis-13847	96	15	those	those	PRON
fcis-13847	96	16	of	of	ADP
fcis-13847	96	17	nearby	nearby	ADJ
fcis-13847	96	18	neurons	neuron	NOUN
fcis-13847	96	19	,	,	PUNCT
fcis-13847	96	20	and	and	CCONJ
fcis-13847	96	21	upon	upon	SCONJ
fcis-13847	96	22	activation	activation	NOUN
fcis-13847	96	23	,	,	PUNCT
fcis-13847	96	24	nearby	nearby	ADJ
fcis-13847	96	25	neurons	neuron	NOUN
fcis-13847	96	26	are	be	AUX
fcis-13847	96	27	inhibited	inhibit	VERB
fcis-13847	96	28	,	,	PUNCT
fcis-13847	96	29	i.e.	i.e.	X
fcis-13847	96	30	,	,	PUNCT
fcis-13847	96	31	spatially	spatially	ADV
fcis-13847	96	32	inhibited	inhibit	VERB
fcis-13847	96	33	.	.	PUNCT
fcis-13847	97	1	then	then	ADV
fcis-13847	97	2	switch	switch	VERB
fcis-13847	97	3	to	to	ADP
fcis-13847	97	4	the	the	DET
fcis-13847	97	5	perspective	perspective	NOUN
fcis-13847	97	6	of	of	ADP
fcis-13847	97	7	feature	feature	NOUN
fcis-13847	97	8	extraction	extraction	NOUN
fcis-13847	97	9	,	,	PUNCT
fcis-13847	97	10	features	feature	VERB
fcis-13847	97	11	with	with	ADP
fcis-13847	97	12	more	more	ADJ
fcis-13847	97	13	information	information	NOUN
fcis-13847	97	14	are	be	AUX
fcis-13847	97	15	different	different	ADJ
fcis-13847	97	16	from	from	ADP
fcis-13847	97	17	other	other	ADJ
fcis-13847	97	18	features	feature	NOUN
fcis-13847	97	19	in	in	ADP
fcis-13847	97	20	terms	term	NOUN
fcis-13847	97	21	of	of	ADP
fcis-13847	97	22	energy	energy	NOUN
fcis-13847	97	23	magnitude	magnitude	NOUN
fcis-13847	97	24	,	,	PUNCT
fcis-13847	97	25	and	and	CCONJ
fcis-13847	97	26	enhance	enhance	VERB
fcis-13847	97	27	the	the	DET
fcis-13847	97	28	energy	energy	NOUN
fcis-13847	97	29	value	value	NOUN
fcis-13847	97	30	of	of	ADP
fcis-13847	97	31	features	feature	NOUN
fcis-13847	97	32	with	with	ADP
fcis-13847	97	33	more	more	ADJ
fcis-13847	97	34	information	information	NOUN
fcis-13847	97	35	,	,	PUNCT
fcis-13847	97	36	so	so	SCONJ
fcis-13847	97	37	that	that	SCONJ
fcis-13847	97	38	the	the	DET
fcis-13847	97	39	correct	correct	ADJ
fcis-13847	97	40	features	feature	NOUN
fcis-13847	97	41	are	be	AUX
fcis-13847	97	42	easier	easy	ADJ
fcis-13847	97	43	to	to	PART
fcis-13847	97	44	learn	learn	VERB
fcis-13847	97	45	.	.	PUNCT
fcis-13847	98	1	according	accord	VERB
fcis-13847	98	2	to	to	ADP
fcis-13847	98	3	the	the	DET
fcis-13847	98	4	formula	formula	NOUN
fcis-13847	98	5	defined	define	VERB
fcis-13847	98	6	by	by	ADP
fcis-13847	98	7	the	the	DET
fcis-13847	98	8	energy	energy	NOUN
fcis-13847	98	9	paradigm	paradigm	NOUN
fcis-13847	98	10	and	and	CCONJ
fcis-13847	98	11	assuming	assume	VERB
fcis-13847	98	12	that	that	SCONJ
fcis-13847	98	13	each	each	DET
fcis-13847	98	14	channel	channel	NOUN
fcis-13847	98	15	has	have	VERB
fcis-13847	98	16	m	m	PROPN
fcis-13847	98	17	=	=	SYM
fcis-13847	98	18	h×w	h×w	PROPN
fcis-13847	98	19	energy	energy	NOUN
fcis-13847	98	20	functions	function	NOUN
fcis-13847	98	21	,	,	PUNCT
fcis-13847	98	22	in	in	ADP
fcis-13847	98	23	order	order	NOUN
fcis-13847	98	24	to	to	PART
fcis-13847	98	25	simplify	simplify	VERB
fcis-13847	98	26	the	the	DET
fcis-13847	98	27	calculation	calculation	NOUN
fcis-13847	98	28	,	,	PUNCT
fcis-13847	98	29	the	the	DET
fcis-13847	98	30	mean	mean	ADJ
fcis-13847	98	31	value	value	NOUN
fcis-13847	98	32	of	of	ADP
fcis-13847	98	33	all	all	DET
fcis-13847	98	34	neurons	neuron	NOUN
fcis-13847	98	35	μ̂	μ̂	NUM
fcis-13847	98	36	and	and	CCONJ
fcis-13847	98	37	the	the	DET
fcis-13847	98	38	variance	variance	NOUN
fcis-13847	98	39	2σ̂	2σ̂	PROPN
fcis-13847	98	40	are	be	AUX
fcis-13847	98	41	used	use	VERB
fcis-13847	98	42	to	to	PART
fcis-13847	98	43	replace	replace	VERB
fcis-13847	98	44	the	the	DET
fcis-13847	98	45	strain	strain	NOUN
fcis-13847	98	46	value	value	NOUN
fcis-13847	98	47	in	in	ADP
fcis-13847	98	48	the	the	DET
fcis-13847	98	49	formula	formula	NOUN
fcis-13847	98	50	,	,	PUNCT
fcis-13847	98	51	and	and	CCONJ
fcis-13847	98	52	the	the	DET
fcis-13847	98	53	expression	expression	NOUN
fcis-13847	98	54	of	of	ADP
fcis-13847	98	55	the	the	DET
fcis-13847	98	56	minimum	minimum	ADJ
fcis-13847	98	57	energy	energy	NOUN
fcis-13847	98	58	value	value	NOUN
fcis-13847	98	59	is	be	AUX
fcis-13847	98	60	obtained	obtain	VERB
fcis-13847	98	61	:	:	PUNCT
fcis-13847	98	62	2	2	NUM
fcis-13847	98	63	*	*	SYM
fcis-13847	98	64	2	2	NUM
fcis-13847	98	65	2	2	NUM
fcis-13847	98	66	ˆ4	ˆ4	NOUN
fcis-13847	98	67	(	(	PUNCT
fcis-13847	98	68	)	)	PUNCT
fcis-13847	98	69	ˆ	ˆ	PRON
fcis-13847	98	70	ˆ	ˆ	PROPN
fcis-13847	98	71	(	(	PUNCT
fcis-13847	98	72	)	)	PUNCT
fcis-13847	98	73	2	2	NUM
fcis-13847	98	74	2te	2te	NOUN
fcis-13847	98	75	t	t	NOUN
fcis-13847	98	76			PROPN
fcis-13847	98	77			ADJ
fcis-13847	98	78			NOUN
fcis-13847	98	79			PROPN
fcis-13847	98	80			X
fcis-13847	98	81			X
fcis-13847	98	82			PROPN
fcis-13847	98	83			PROPN
fcis-13847	98	84			PUNCT
fcis-13847	98	85			X
fcis-13847	98	86	(	(	PUNCT
fcis-13847	98	87	3	3	X
fcis-13847	98	88	)	)	PUNCT
fcis-13847	98	89	the	the	DET
fcis-13847	98	90	target	target	NOUN
fcis-13847	98	91	neuron	neuron	NOUN
fcis-13847	98	92	has	have	VERB
fcis-13847	98	93	lower	low	ADJ
fcis-13847	98	94	energy	energy	NOUN
fcis-13847	98	95	,	,	PUNCT
fcis-13847	98	96	is	be	AUX
fcis-13847	98	97	more	more	ADV
fcis-13847	98	98	different	different	ADJ
fcis-13847	98	99	from	from	ADP
fcis-13847	98	100	the	the	DET
fcis-13847	98	101	surrounding	surround	VERB
fcis-13847	98	102	neuron	neuron	NOUN
fcis-13847	98	103	,	,	PUNCT
fcis-13847	98	104	and	and	CCONJ
fcis-13847	98	105	is	be	AUX
fcis-13847	98	106	more	more	ADV
fcis-13847	98	107	important	important	ADJ
fcis-13847	98	108	.	.	PUNCT
fcis-13847	99	1	when	when	SCONJ
fcis-13847	99	2	the	the	DET
fcis-13847	99	3	feature	feature	NOUN
fcis-13847	99	4	is	be	AUX
fcis-13847	99	5	enhanced	enhance	VERB
fcis-13847	99	6	by	by	ADP
fcis-13847	99	7	the	the	DET
fcis-13847	99	8	obtained	obtain	VERB
fcis-13847	99	9	energy	energy	NOUN
fcis-13847	99	10	value	value	NOUN
fcis-13847	99	11	,	,	PUNCT
fcis-13847	99	12	its	its	PRON
fcis-13847	99	13	reciprocal	reciprocal	NOUN
fcis-13847	99	14	is	be	AUX
fcis-13847	99	15	used	use	VERB
fcis-13847	99	16	.	.	PUNCT
fcis-13847	100	1	the	the	DET
fcis-13847	100	2	expression	expression	NOUN
fcis-13847	100	3	is	be	AUX
fcis-13847	100	4	as	as	SCONJ
fcis-13847	100	5	follows	follow	VERB
fcis-13847	100	6	:	:	PUNCT
fcis-13847	100	7	*	*	PUNCT
fcis-13847	100	8	1	1	NUM
fcis-13847	100	9	sigmoid	sigmoid	NOUN
fcis-13847	100	10	(	(	PUNCT
fcis-13847	100	11	)	)	PUNCT
fcis-13847	100	12	n	n	NOUN
fcis-13847	100	13	t	t	NOUN
fcis-13847	100	14	x	x	PUNCT
fcis-13847	100	15	x	x	PUNCT
fcis-13847	100	16	e	e	X
fcis-13847	100	17			PROPN
fcis-13847	100	18			PROPN
fcis-13847	100	19	(	(	PUNCT
fcis-13847	100	20	4	4	NUM
fcis-13847	100	21	)	)	PUNCT
fcis-13847	100	22	by	by	ADP
fcis-13847	100	23	using	use	VERB
fcis-13847	100	24	the	the	DET
fcis-13847	100	25	three	three	NUM
fcis-13847	100	26	-	-	PUNCT
fcis-13847	100	27	dimensional	dimensional	ADJ
fcis-13847	100	28	attention	attention	NOUN
fcis-13847	100	29	mechanism	mechanism	NOUN
fcis-13847	100	30	,	,	PUNCT
fcis-13847	100	31	the	the	DET
fcis-13847	100	32	target	target	NOUN
fcis-13847	100	33	features	feature	NOUN
fcis-13847	100	34	are	be	AUX
fcis-13847	100	35	weighted	weight	VERB
fcis-13847	100	36	and	and	CCONJ
fcis-13847	100	37	enhanced	enhance	VERB
fcis-13847	100	38	from	from	ADP
fcis-13847	100	39	the	the	DET
fcis-13847	100	40	three	three	NUM
fcis-13847	100	41	dimensions	dimension	NOUN
fcis-13847	100	42	of	of	ADP
fcis-13847	100	43	channel	channel	NOUN
fcis-13847	100	44	,	,	PUNCT
fcis-13847	100	45	space	space	NOUN
fcis-13847	100	46	and	and	CCONJ
fcis-13847	100	47	dimensional	dimensional	ADJ
fcis-13847	100	48	energy	energy	NOUN
fcis-13847	100	49	to	to	PART
fcis-13847	100	50	extract	extract	VERB
fcis-13847	100	51	richer	rich	ADJ
fcis-13847	100	52	feature	feature	NOUN
fcis-13847	100	53	information	information	NOUN
fcis-13847	100	54	.	.	PUNCT
fcis-13847	101	1	by	by	ADP
fcis-13847	101	2	optimizing	optimize	VERB
fcis-13847	101	3	the	the	DET
fcis-13847	101	4	attention	attention	NOUN
fcis-13847	101	5	mechanism	mechanism	NOUN
fcis-13847	101	6	,	,	PUNCT
fcis-13847	101	7	this	this	DET
fcis-13847	101	8	method	method	NOUN
fcis-13847	101	9	can	can	AUX
fcis-13847	101	10	extract	extract	VERB
fcis-13847	101	11	the	the	DET
fcis-13847	101	12	feature	feature	NOUN
fcis-13847	101	13	information	information	NOUN
fcis-13847	101	14	of	of	ADP
fcis-13847	101	15	small	small	ADJ
fcis-13847	101	16	targets	target	NOUN
fcis-13847	101	17	more	more	ADV
fcis-13847	101	18	effectively	effectively	ADV
fcis-13847	101	19	.	.	PUNCT
fcis-13847	102	1	small	small	ADJ
fcis-13847	102	2	targets	target	NOUN
fcis-13847	102	3	often	often	ADV
fcis-13847	102	4	have	have	VERB
fcis-13847	102	5	small	small	ADJ
fcis-13847	102	6	size	size	NOUN
fcis-13847	102	7	and	and	CCONJ
fcis-13847	102	8	low	low	ADJ
fcis-13847	102	9	contrast	contrast	NOUN
fcis-13847	102	10	in	in	ADP
fcis-13847	102	11	the	the	DET
fcis-13847	102	12	image	image	NOUN
fcis-13847	102	13	,	,	PUNCT
fcis-13847	102	14	which	which	PRON
fcis-13847	102	15	is	be	AUX
fcis-13847	102	16	difficult	difficult	ADJ
fcis-13847	102	17	to	to	PART
fcis-13847	102	18	be	be	AUX
fcis-13847	102	19	accurately	accurately	ADV
fcis-13847	102	20	identified	identify	VERB
fcis-13847	102	21	by	by	ADP
fcis-13847	102	22	traditional	traditional	ADJ
fcis-13847	102	23	detection	detection	NOUN
fcis-13847	102	24	methods	method	NOUN
fcis-13847	102	25	.	.	PUNCT
fcis-13847	103	1	in	in	ADP
fcis-13847	103	2	this	this	DET
fcis-13847	103	3	method	method	NOUN
fcis-13847	103	4	,	,	PUNCT
fcis-13847	103	5	energy	energy	NOUN
fcis-13847	103	6	is	be	AUX
fcis-13847	103	7	introduced	introduce	VERB
fcis-13847	103	8	on	on	ADP
fcis-13847	103	9	the	the	DET
fcis-13847	103	10	two	two	NUM
fcis-13847	103	11	-	-	PUNCT
fcis-13847	103	12	dimensional	dimensional	ADJ
fcis-13847	103	13	basis	basis	NOUN
fcis-13847	103	14	of	of	ADP
fcis-13847	103	15	channel	channel	NOUN
fcis-13847	103	16	and	and	CCONJ
fcis-13847	103	17	space	space	NOUN
fcis-13847	103	18	to	to	PART
fcis-13847	103	19	optimize	optimize	VERB
fcis-13847	103	20	the	the	DET
fcis-13847	103	21	attention	attention	NOUN
fcis-13847	103	22	mechanism	mechanism	NOUN
fcis-13847	103	23	,	,	PUNCT
fcis-13847	103	24	which	which	PRON
fcis-13847	103	25	can	can	AUX
fcis-13847	103	26	enhance	enhance	VERB
fcis-13847	103	27	the	the	DET
fcis-13847	103	28	contrast	contrast	NOUN
fcis-13847	103	29	and	and	CCONJ
fcis-13847	103	30	significance	significance	NOUN
fcis-13847	103	31	of	of	ADP
fcis-13847	103	32	small	small	ADJ
fcis-13847	103	33	targets	target	NOUN
fcis-13847	103	34	in	in	ADP
fcis-13847	103	35	the	the	DET
fcis-13847	103	36	feature	feature	NOUN
fcis-13847	103	37	map	map	NOUN
fcis-13847	103	38	,	,	PUNCT
fcis-13847	103	39	and	and	CCONJ
fcis-13847	103	40	improve	improve	VERB
fcis-13847	103	41	the	the	DET
fcis-13847	103	42	recognition	recognition	NOUN
fcis-13847	103	43	accuracy	accuracy	NOUN
fcis-13847	103	44	of	of	ADP
fcis-13847	103	45	the	the	DET
fcis-13847	103	46	detection	detection	NOUN
fcis-13847	103	47	head	head	NOUN
fcis-13847	103	48	.	.	PUNCT
fcis-13847	104	1	the	the	DET
fcis-13847	104	2	meanings	meaning	NOUN
fcis-13847	104	3	of	of	ADP
fcis-13847	104	4	related	related	ADJ
fcis-13847	104	5	symbols	symbol	NOUN
fcis-13847	104	6	are	be	AUX
fcis-13847	104	7	shown	show	VERB
fcis-13847	104	8	in	in	ADP
fcis-13847	104	9	table	table	NOUN
fcis-13847	104	10	2	2	NUM
fcis-13847	104	11	.	.	PUNCT
fcis-13847	104	12	table	table	NOUN
fcis-13847	104	13	2	2	NUM
fcis-13847	104	14	.	.	X
fcis-13847	105	1	symbol	symbol	NOUN
fcis-13847	105	2	meaning	mean	VERB
fcis-13847	105	3	symbol	symbol	NOUN
fcis-13847	105	4	meaning	mean	VERB
fcis-13847	105	5	t	t	NOUN
fcis-13847	105	6	the	the	DET
fcis-13847	105	7	target	target	NOUN
fcis-13847	105	8	neuron	neuron	NOUN
fcis-13847	105	9	of	of	ADP
fcis-13847	105	10	the	the	DET
fcis-13847	105	11	input	input	NOUN
fcis-13847	105	12	feature	feature	NOUN
fcis-13847	105	13	m	m	VERB
fcis-13847	105	14	h	h	NOUN
fcis-13847	105	15	w	w	NOUN
fcis-13847	105	16			VERB
fcis-13847	105	17	the	the	DET
fcis-13847	105	18	number	number	NOUN
fcis-13847	105	19	of	of	ADP
fcis-13847	105	20	neurons	neuron	NOUN
fcis-13847	105	21	in	in	ADP
fcis-13847	105	22	a	a	DET
fcis-13847	105	23	channel	channel	NOUN
fcis-13847	105	24	*	*	PUNCT
fcis-13847	105	25	te	te	ADP
fcis-13847	105	26	the	the	DET
fcis-13847	105	27	minimum	minimum	ADJ
fcis-13847	105	28	energy	energy	NOUN
fcis-13847	105	29	of	of	ADP
fcis-13847	105	30	a	a	DET
fcis-13847	105	31	channel	channel	NOUN
fcis-13847	105	32	μ̂	μ̂	NUM
fcis-13847	105	33	input	input	NOUN
fcis-13847	105	34	neuron	neuron	NOUN
fcis-13847	105	35	mean	mean	VERB
fcis-13847	105	36	2σ̂	2σ̂	PROPN
fcis-13847	106	1	the	the	DET
fcis-13847	106	2	variance	variance	NOUN
fcis-13847	106	3	of	of	ADP
fcis-13847	106	4	the	the	DET
fcis-13847	106	5	input	input	NOUN
fcis-13847	106	6	neuron	neuron	NOUN
fcis-13847	106	7	x	x	PUNCT
fcis-13847	106	8	the	the	DET
fcis-13847	106	9	original	original	ADJ
fcis-13847	106	10	eigenvalue	eigenvalue	PROPN
fcis-13847	106	11	xn	xn	PROPN
fcis-13847	106	12	the	the	DET
fcis-13847	106	13	enhanced	enhance	VERB
fcis-13847	106	14	eigenvalue	eigenvalue	PROPN
fcis-13847	106	15			PROPN
fcis-13847	106	16	for	for	ADP
fcis-13847	106	17	reinforcement	reinforcement	NOUN
fcis-13847	106	18	operations	operation	NOUN
fcis-13847	106	19	3.5	3.5	NUM
fcis-13847	106	20	.	.	PUNCT
fcis-13847	107	1	optimize	optimize	VERB
fcis-13847	107	2	the	the	DET
fcis-13847	107	3	boundary	boundary	ADJ
fcis-13847	107	4	frame	frame	NOUN
fcis-13847	107	5	loss	loss	NOUN
fcis-13847	107	6	function	function	VERB
fcis-13847	107	7	the	the	DET
fcis-13847	107	8	boundary	boundary	ADJ
fcis-13847	107	9	frame	frame	NOUN
fcis-13847	107	10	loss	loss	NOUN
fcis-13847	107	11	function	function	NOUN
fcis-13847	107	12	of	of	ADP
fcis-13847	107	13	yolov7	yolov7	NOUN
fcis-13847	107	14	is	be	AUX
fcis-13847	107	15	ciou[19	ciou[19	NOUN
fcis-13847	107	16	]	]	PUNCT
fcis-13847	107	17	,	,	PUNCT
fcis-13847	107	18	which	which	PRON
fcis-13847	107	19	takes	take	VERB
fcis-13847	107	20	into	into	ADP
fcis-13847	107	21	account	account	NOUN
fcis-13847	107	22	geometric	geometric	ADJ
fcis-13847	107	23	factors	factor	NOUN
fcis-13847	107	24	such	such	ADJ
fcis-13847	107	25	as	as	ADP
fcis-13847	107	26	distance	distance	NOUN
fcis-13847	107	27	,	,	PUNCT
fcis-13847	107	28	aspect	aspect	NOUN
fcis-13847	107	29	ratio	ratio	NOUN
fcis-13847	107	30	and	and	CCONJ
fcis-13847	107	31	angle	angle	NOUN
fcis-13847	107	32	,	,	PUNCT
fcis-13847	107	33	effectively	effectively	ADV
fcis-13847	107	34	improves	improve	VERB
fcis-13847	107	35	the	the	DET
fcis-13847	107	36	regression	regression	NOUN
fcis-13847	107	37	accuracy	accuracy	NOUN
fcis-13847	107	38	of	of	ADP
fcis-13847	107	39	the	the	DET
fcis-13847	107	40	prediction	prediction	NOUN
fcis-13847	107	41	frame	frame	NOUN
fcis-13847	107	42	and	and	CCONJ
fcis-13847	107	43	speeds	speed	VERB
fcis-13847	107	44	up	up	ADP
fcis-13847	107	45	the	the	DET
fcis-13847	107	46	regression	regression	NOUN
fcis-13847	107	47	efficiency	efficiency	NOUN
fcis-13847	107	48	.	.	PUNCT
fcis-13847	108	1	however	however	ADV
fcis-13847	108	2	,	,	PUNCT
fcis-13847	108	3	the	the	DET
fcis-13847	108	4	regression	regression	NOUN
fcis-13847	108	5	samples	sample	NOUN
fcis-13847	108	6	preset	preset	VERB
fcis-13847	108	7	by	by	ADP
fcis-13847	108	8	ciou	ciou	NOUN
fcis-13847	108	9	are	be	AUX
fcis-13847	108	10	all	all	ADV
fcis-13847	108	11	high	high	ADJ
fcis-13847	108	12	-	-	PUNCT
fcis-13847	108	13	quality	quality	NOUN
fcis-13847	108	14	samples	sample	NOUN
fcis-13847	108	15	,	,	PUNCT
fcis-13847	108	16	but	but	CCONJ
fcis-13847	108	17	it	it	PRON
fcis-13847	108	18	ignores	ignore	VERB
fcis-13847	108	19	that	that	SCONJ
fcis-13847	108	20	there	there	PRON
fcis-13847	108	21	are	be	VERB
fcis-13847	108	22	a	a	DET
fcis-13847	108	23	considerable	considerable	ADJ
fcis-13847	108	24	number	number	NOUN
fcis-13847	108	25	of	of	ADP
fcis-13847	108	26	average	average	ADJ
fcis-13847	108	27	quality	quality	NOUN
fcis-13847	108	28	samples	sample	NOUN
fcis-13847	108	29	and	and	CCONJ
fcis-13847	108	30	low	low	ADJ
fcis-13847	108	31	quality	quality	NOUN
fcis-13847	108	32	samples	sample	NOUN
fcis-13847	108	33	in	in	ADP
fcis-13847	108	34	the	the	DET
fcis-13847	108	35	samples	sample	NOUN
fcis-13847	108	36	.	.	PUNCT
fcis-13847	109	1	therefore	therefore	ADV
fcis-13847	109	2	,	,	PUNCT
fcis-13847	109	3	combined	combine	VERB
fcis-13847	109	4	with	with	ADP
fcis-13847	109	5	wise	wise	ADJ
fcis-13847	109	6	iou(wiou	iou(wiou	NOUN
fcis-13847	109	7	)	)	PUNCT
fcis-13847	109	8	bounding	bounding	NOUN
fcis-13847	109	9	frame	frame	NOUN
fcis-13847	109	10	loss	loss	NOUN
fcis-13847	109	11	function	function	NOUN
fcis-13847	109	12	with	with	ADP
fcis-13847	109	13	dynamic	dynamic	ADJ
fcis-13847	109	14	non	non	ADJ
fcis-13847	109	15	-	-	ADJ
fcis-13847	109	16	monotony	monotony	ADJ
fcis-13847	109	17	static	static	ADJ
fcis-13847	109	18	focusing	focus	VERB
fcis-13847	109	19	mechanism[20	mechanism[20	NOUN
fcis-13847	109	20	]	]	PUNCT
fcis-13847	109	21	,	,	PUNCT
fcis-13847	109	22	a	a	DET
fcis-13847	109	23	new	new	ADJ
fcis-13847	109	24	median	median	ADJ
fcis-13847	109	25	wise	wise	ADJ
fcis-13847	109	26	iou(mwiou	iou(mwiou	NOUN
fcis-13847	109	27	)	)	PUNCT
fcis-13847	109	28	loss	loss	NOUN
fcis-13847	109	29	function	function	NOUN
fcis-13847	109	30	is	be	AUX
fcis-13847	109	31	proposed	propose	VERB
fcis-13847	109	32	according	accord	VERB
fcis-13847	109	33	to	to	ADP
fcis-13847	109	34	the	the	DET
fcis-13847	109	35	current	current	ADJ
fcis-13847	109	36	situation	situation	NOUN
fcis-13847	109	37	of	of	ADP
fcis-13847	109	38	low	low	ADJ
fcis-13847	109	39	-	-	PUNCT
fcis-13847	109	40	quality	quality	NOUN
fcis-13847	109	41	samples	sample	NOUN
fcis-13847	109	42	flooding	flooding	NOUN
fcis-13847	109	43	in	in	ADP
fcis-13847	109	44	foggy	foggy	ADJ
fcis-13847	109	45	scenes	scene	NOUN
fcis-13847	109	46	,	,	PUNCT
fcis-13847	109	47	and	and	CCONJ
fcis-13847	109	48	both	both	CCONJ
fcis-13847	109	49	high	high	ADJ
fcis-13847	109	50	-	-	PUNCT
fcis-13847	109	51	quality	quality	NOUN
fcis-13847	109	52	and	and	CCONJ
fcis-13847	109	53	low	low	ADJ
fcis-13847	109	54	-	-	PUNCT
fcis-13847	109	55	quality	quality	NOUN
fcis-13847	109	56	samples	sample	NOUN
fcis-13847	109	57	are	be	AUX
fcis-13847	109	58	kept	keep	VERB
fcis-13847	109	59	under	under	ADP
fcis-13847	109	60	suppression	suppression	NOUN
fcis-13847	109	61	.	.	PUNCT
fcis-13847	110	1	and	and	CCONJ
fcis-13847	110	2	the	the	DET
fcis-13847	110	3	tolerance	tolerance	NOUN
fcis-13847	110	4	of	of	ADP
fcis-13847	110	5	general	general	ADJ
fcis-13847	110	6	quality	quality	NOUN
fcis-13847	110	7	samples	sample	NOUN
fcis-13847	110	8	is	be	AUX
fcis-13847	110	9	improved	improve	VERB
fcis-13847	110	10	.	.	PUNCT
fcis-13847	111	1	the	the	DET
fcis-13847	111	2	function	function	NOUN
fcis-13847	111	3	is	be	AUX
fcis-13847	111	4	divided	divide	VERB
fcis-13847	111	5	into	into	ADP
fcis-13847	111	6	three	three	NUM
fcis-13847	111	7	parts	part	NOUN
fcis-13847	111	8	,	,	PUNCT
fcis-13847	111	9	iou	iou	NOUN
fcis-13847	111	10	part	part	NOUN
fcis-13847	111	11	,	,	PUNCT
fcis-13847	111	12	distance	distance	NOUN
fcis-13847	111	13	loss	loss	NOUN
fcis-13847	111	14	and	and	CCONJ
fcis-13847	111	15	monotonic	monotonic	ADJ
fcis-13847	111	16	focusing	focus	VERB
fcis-13847	111	17	coefficient	coefficient	NOUN
fcis-13847	111	18	.	.	PUNCT
fcis-13847	112	1	figure	figure	NOUN
fcis-13847	112	2	6	6	NUM
fcis-13847	112	3	shows	show	VERB
fcis-13847	112	4	the	the	DET
fcis-13847	112	5	schematic	schematic	ADJ
fcis-13847	112	6	diagram	diagram	NOUN
fcis-13847	112	7	of	of	ADP
fcis-13847	112	8	wiou	wiou	NOUN
fcis-13847	112	9	parameters	parameter	NOUN
fcis-13847	112	10	.	.	PUNCT
fcis-13847	113	1	dark	dark	ADJ
fcis-13847	113	2	prediction	prediction	NOUN
fcis-13847	113	3	box	box	PROPN
fcis-13847	113	4	d	d	PROPN
fcis-13847	113	5	,	,	PUNCT
fcis-13847	113	6	center	center	NOUN
fcis-13847	113	7	coordinates	coordinate	NOUN
fcis-13847	113	8	(	(	PUNCT
fcis-13847	113	9	x	x	X
fcis-13847	113	10	,	,	PUNCT
fcis-13847	113	11	y	y	PROPN
fcis-13847	113	12	)	)	PUNCT
fcis-13847	113	13	,	,	PUNCT
fcis-13847	113	14	light	light	ADJ
fcis-13847	113	15	color	color	NOUN
fcis-13847	113	16	box	box	PROPN
fcis-13847	113	17	is	be	AUX
fcis-13847	113	18	the	the	DET
fcis-13847	113	19	real	real	ADJ
fcis-13847	113	20	box	box	NOUN
fcis-13847	113	21	,	,	PUNCT
fcis-13847	113	22	center	center	NOUN
fcis-13847	113	23	coordinates	coordinate	NOUN
fcis-13847	113	24	(	(	PUNCT
fcis-13847	113	25	xgt	xgt	NOUN
fcis-13847	113	26	,	,	PUNCT
fcis-13847	113	27	ygt	ygt	NOUN
fcis-13847	113	28	)	)	PUNCT
fcis-13847	113	29	.	.	PUNCT
fcis-13847	114	1	according	accord	VERB
fcis-13847	114	2	to	to	ADP
fcis-13847	114	3	the	the	DET
fcis-13847	114	4	iou	iou	NOUN
fcis-13847	114	5	definition	definition	NOUN
fcis-13847	114	6	,	,	PUNCT
fcis-13847	114	7	the	the	DET
fcis-13847	114	8	improved	improved	ADJ
fcis-13847	114	9	distance	distance	NOUN
fcis-13847	114	10	loss	loss	NOUN
fcis-13847	114	11	is	be	AUX
fcis-13847	114	12	defined	define	VERB
fcis-13847	114	13	as	as	SCONJ
fcis-13847	114	14	follows	follow	VERB
fcis-13847	114	15	:	:	PUNCT
fcis-13847	114	16	2	2	NUM
fcis-13847	114	17	2	2	NUM
fcis-13847	114	18	2	2	NUM
fcis-13847	114	19	2	2	NUM
fcis-13847	114	20	*	*	PUNCT
fcis-13847	114	21	(	(	PUNCT
fcis-13847	114	22	)	)	PUNCT
fcis-13847	114	23	(	(	PUNCT
fcis-13847	114	24	)	)	PUNCT
fcis-13847	114	25	exp	exp	NOUN
fcis-13847	114	26	(	(	PUNCT
fcis-13847	114	27	)	)	PUNCT
fcis-13847	114	28	(	(	PUNCT
fcis-13847	114	29	)	)	PUNCT
fcis-13847	114	30	gt	gt	PROPN
fcis-13847	114	31	gt	gt	PROPN
fcis-13847	114	32	mwiou	mwiou	NOUN
fcis-13847	114	33	g	g	PROPN
fcis-13847	114	34	g	g	PROPN
fcis-13847	114	35	x	x	PUNCT
fcis-13847	114	36	x	x	VERB
fcis-13847	114	37	y	y	NOUN
fcis-13847	114	38	y	y	NOUN
fcis-13847	114	39	r	r	PROPN
fcis-13847	114	40	w	w	PROPN
fcis-13847	114	41	h	h	PROPN
fcis-13847	114	42			PROPN
fcis-13847	114	43			VERB
fcis-13847	114	44			PROPN
fcis-13847	114	45			PROPN
fcis-13847	114	46			PUNCT
fcis-13847	114	47	(	(	PUNCT
fcis-13847	114	48	5	5	NUM
fcis-13847	114	49	)	)	PUNCT
fcis-13847	114	50	during	during	ADP
fcis-13847	114	51	the	the	DET
fcis-13847	114	52	calculation	calculation	NOUN
fcis-13847	114	53	of	of	ADP
fcis-13847	114	54	the	the	DET
fcis-13847	114	55	loss	loss	NOUN
fcis-13847	114	56	terms	term	NOUN
fcis-13847	114	57	,	,	PUNCT
fcis-13847	114	58	wg	wg	PRON
fcis-13847	114	59	and	and	CCONJ
fcis-13847	114	60	hg	hg	PROPN
fcis-13847	114	61	are	be	AUX
fcis-13847	114	62	40	40	NUM
fcis-13847	114	63	separated	separate	VERB
fcis-13847	114	64	from	from	ADP
fcis-13847	114	65	the	the	DET
fcis-13847	114	66	calculation	calculation	NOUN
fcis-13847	114	67	graph	graph	NOUN
fcis-13847	114	68	to	to	PART
fcis-13847	114	69	avoid	avoid	VERB
fcis-13847	114	70	the	the	DET
fcis-13847	114	71	negative	negative	ADJ
fcis-13847	114	72	gradient	gradient	NOUN
fcis-13847	114	73	that	that	SCONJ
fcis-13847	114	74	they	they	PRON
fcis-13847	114	75	may	may	AUX
fcis-13847	114	76	appear	appear	VERB
fcis-13847	114	77	in	in	ADP
fcis-13847	114	78	,	,	PUNCT
fcis-13847	114	79	as	as	SCONJ
fcis-13847	114	80	mentioned	mention	VERB
fcis-13847	114	81	above	above	ADV
fcis-13847	114	82	,	,	PUNCT
fcis-13847	114	83	impeding	impede	VERB
fcis-13847	114	84	convergence	convergence	NOUN
fcis-13847	114	85	.	.	PUNCT
fcis-13847	115	1	fig	fig	NOUN
fcis-13847	115	2	6	6	NUM
fcis-13847	115	3	.	.	PUNCT
fcis-13847	115	4	mwiou	mwiou	NOUN
fcis-13847	115	5	distance	distance	NOUN
fcis-13847	115	6	loss	loss	NOUN
fcis-13847	115	7	function	function	NOUN
fcis-13847	115	8	parameter	parameter	NOUN
fcis-13847	115	9	diagram	diagram	VERB
fcis-13847	115	10	the	the	DET
fcis-13847	115	11	non	non	ADJ
fcis-13847	115	12	-	-	ADJ
fcis-13847	115	13	monotonic	monotonic	ADJ
fcis-13847	115	14	focusing	focus	VERB
fcis-13847	115	15	coefficient	coefficient	NOUN
fcis-13847	115	16	q	q	NOUN
fcis-13847	115	17	is	be	AUX
fcis-13847	115	18	defined	define	VERB
fcis-13847	115	19	as	as	SCONJ
fcis-13847	115	20	follows	follow	VERB
fcis-13847	115	21	:	:	PUNCT
fcis-13847	115	22	mq	mq	PROPN
fcis-13847	115	23			PROPN
fcis-13847	115	24			NUM
fcis-13847	115	25			PROPN
fcis-13847	115	26			PROPN
fcis-13847	115	27			ADJ
fcis-13847	115	28	(	(	PUNCT
fcis-13847	115	29	6	6	NUM
fcis-13847	115	30	)	)	PUNCT
fcis-13847	115	31	*	*	PUNCT
fcis-13847	116	1	[	[	X
fcis-13847	116	2	0	0	NUM
fcis-13847	116	3	,	,	PUNCT
fcis-13847	116	4	)	)	PUNCT
fcis-13847	116	5	(	(	PUNCT
fcis-13847	116	6	)	)	PUNCT
fcis-13847	116	7	iou	iou	PROPN
fcis-13847	116	8	iou	iou	PROPN
fcis-13847	116	9	l	l	PROPN
fcis-13847	116	10	m	m	PROPN
fcis-13847	116	11	l	l	NOUN
fcis-13847	116	12			PROPN
fcis-13847	116	13			PROPN
fcis-13847	116	14			NOUN
fcis-13847	116	15			ADV
fcis-13847	116	16	(	(	PUNCT
fcis-13847	116	17	7	7	NUM
fcis-13847	116	18	)	)	PUNCT
fcis-13847	116	19	in	in	ADP
fcis-13847	116	20	the	the	DET
fcis-13847	116	21	above	above	ADJ
fcis-13847	116	22	formula	formula	NOUN
fcis-13847	116	23	,	,	PUNCT
fcis-13847	116	24	the	the	DET
fcis-13847	116	25	parameter	parameter	NOUN
fcis-13847	116	26	ε	ε	PROPN
fcis-13847	116	27	is	be	AUX
fcis-13847	116	28	introduced	introduce	VERB
fcis-13847	116	29	to	to	PART
fcis-13847	116	30	describe	describe	VERB
fcis-13847	116	31	the	the	DET
fcis-13847	116	32	outlier	outlier	NOUN
fcis-13847	116	33	,	,	PUNCT
fcis-13847	116	34	which	which	PRON
fcis-13847	116	35	is	be	AUX
fcis-13847	116	36	the	the	DET
fcis-13847	116	37	ratio	ratio	NOUN
fcis-13847	116	38	of	of	ADP
fcis-13847	116	39	∗	∗	NOUN
fcis-13847	116	40	to	to	ADP
fcis-13847	116	41	,	,	PUNCT
fcis-13847	116	42	the	the	DET
fcis-13847	116	43	∗	∗	NOUN
fcis-13847	116	44	is	be	AUX
fcis-13847	116	45	the	the	DET
fcis-13847	116	46	loss	loss	NOUN
fcis-13847	116	47	contribution	contribution	NOUN
fcis-13847	116	48	value	value	NOUN
fcis-13847	116	49	of	of	ADP
fcis-13847	116	50	each	each	DET
fcis-13847	116	51	training	training	NOUN
fcis-13847	116	52	sample	sample	NOUN
fcis-13847	116	53	,	,	PUNCT
fcis-13847	116	54	and	and	CCONJ
fcis-13847	116	55	represents	represent	VERB
fcis-13847	116	56	the	the	DET
fcis-13847	116	57	median	median	ADJ
fcis-13847	116	58	value	value	NOUN
fcis-13847	116	59	of	of	ADP
fcis-13847	116	60	the	the	DET
fcis-13847	116	61	loss	loss	NOUN
fcis-13847	116	62	contribution	contribution	NOUN
fcis-13847	116	63	of	of	ADP
fcis-13847	116	64	all	all	DET
fcis-13847	116	65	samples	sample	NOUN
fcis-13847	116	66	.	.	PUNCT
fcis-13847	117	1	the	the	DET
fcis-13847	117	2	smaller	small	ADJ
fcis-13847	117	3	the	the	DET
fcis-13847	117	4	outlier	outlier	NOUN
fcis-13847	117	5	,	,	PUNCT
fcis-13847	117	6	the	the	PRON
fcis-13847	117	7	higher	high	ADJ
fcis-13847	117	8	the	the	DET
fcis-13847	117	9	anchor	anchor	NOUN
fcis-13847	117	10	frame	frame	NOUN
fcis-13847	117	11	quality	quality	NOUN
fcis-13847	117	12	and	and	CCONJ
fcis-13847	117	13	the	the	PRON
fcis-13847	117	14	greater	great	ADJ
fcis-13847	117	15	the	the	DET
fcis-13847	117	16	outlier	outlier	NOUN
fcis-13847	117	17	.	.	PUNCT
fcis-13847	118	1	it	it	PRON
fcis-13847	118	2	means	mean	VERB
fcis-13847	118	3	that	that	SCONJ
fcis-13847	118	4	the	the	DET
fcis-13847	118	5	mass	mass	NOUN
fcis-13847	118	6	of	of	ADP
fcis-13847	118	7	anchor	anchor	NOUN
fcis-13847	118	8	frame	frame	NOUN
fcis-13847	118	9	is	be	AUX
fcis-13847	118	10	lower	low	ADJ
fcis-13847	118	11	,	,	PUNCT
fcis-13847	118	12	so	so	SCONJ
fcis-13847	118	13	both	both	DET
fcis-13847	118	14	types	type	NOUN
fcis-13847	118	15	of	of	ADP
fcis-13847	118	16	anchor	anchor	NOUN
fcis-13847	118	17	frame	frame	NOUN
fcis-13847	118	18	will	will	AUX
fcis-13847	118	19	get	get	VERB
fcis-13847	118	20	a	a	DET
fcis-13847	118	21	small	small	ADJ
fcis-13847	118	22	gradient	gradient	NOUN
fcis-13847	118	23	gain	gain	NOUN
fcis-13847	118	24	.	.	PUNCT
fcis-13847	119	1	compared	compare	VERB
fcis-13847	119	2	with	with	ADP
fcis-13847	119	3	the	the	DET
fcis-13847	119	4	mean	mean	ADJ
fcis-13847	119	5	value	value	NOUN
fcis-13847	119	6	,	,	PUNCT
fcis-13847	119	7	the	the	DET
fcis-13847	119	8	median	median	NOUN
fcis-13847	119	9	is	be	AUX
fcis-13847	119	10	also	also	ADV
fcis-13847	119	11	dynamic	dynamic	ADJ
fcis-13847	119	12	,	,	PUNCT
fcis-13847	119	13	and	and	CCONJ
fcis-13847	119	14	is	be	AUX
fcis-13847	119	15	not	not	PART
fcis-13847	119	16	affected	affect	VERB
fcis-13847	119	17	by	by	ADP
fcis-13847	119	18	individual	individual	ADJ
fcis-13847	119	19	limit	limit	NOUN
fcis-13847	119	20	samples	sample	NOUN
fcis-13847	119	21	,	,	PUNCT
fcis-13847	119	22	and	and	CCONJ
fcis-13847	119	23	the	the	DET
fcis-13847	119	24	quality	quality	NOUN
fcis-13847	119	25	division	division	NOUN
fcis-13847	119	26	criteria	criterion	NOUN
fcis-13847	119	27	of	of	ADP
fcis-13847	119	28	the	the	DET
fcis-13847	119	29	anchor	anchor	NOUN
fcis-13847	119	30	frame	frame	NOUN
fcis-13847	119	31	still	still	ADV
fcis-13847	119	32	retains	retain	VERB
fcis-13847	119	33	the	the	DET
fcis-13847	119	34	advantage	advantage	NOUN
fcis-13847	119	35	of	of	ADP
fcis-13847	119	36	dynamic	dynamic	ADJ
fcis-13847	119	37	change	change	NOUN
fcis-13847	119	38	,	,	PUNCT
fcis-13847	119	39	so	so	ADV
fcis-13847	119	40	mwiou	mwiou	NOUN
fcis-13847	119	41	can	can	AUX
fcis-13847	119	42	formulate	formulate	VERB
fcis-13847	119	43	appropriate	appropriate	ADJ
fcis-13847	119	44	strategies	strategy	NOUN
fcis-13847	119	45	to	to	PART
fcis-13847	119	46	complete	complete	VERB
fcis-13847	119	47	gradient	gradient	NOUN
fcis-13847	119	48	gain	gain	NOUN
fcis-13847	119	49	allocation	allocation	NOUN
fcis-13847	119	50	according	accord	VERB
fcis-13847	119	51	to	to	ADP
fcis-13847	119	52	the	the	DET
fcis-13847	119	53	conditions	condition	NOUN
fcis-13847	119	54	faced	face	VERB
fcis-13847	119	55	at	at	ADP
fcis-13847	119	56	different	different	ADJ
fcis-13847	119	57	times	time	NOUN
fcis-13847	119	58	.	.	PUNCT
fcis-13847	120	1	the	the	DET
fcis-13847	120	2	final	final	ADJ
fcis-13847	120	3	definition	definition	NOUN
fcis-13847	120	4	of	of	ADP
fcis-13847	120	5	mwiou	mwiou	NOUN
fcis-13847	120	6	is	be	AUX
fcis-13847	120	7	as	as	SCONJ
fcis-13847	120	8	follows	follow	VERB
fcis-13847	120	9	:	:	PUNCT
fcis-13847	120	10	mwiou	mwiou	NOUN
fcis-13847	120	11	m	m	PROPN
fcis-13847	120	12	wiou	wiou	NOUN
fcis-13847	120	13	ioul	ioul	ADJ
fcis-13847	120	14	q	q	NOUN
fcis-13847	120	15	r	r	NOUN
fcis-13847	120	16	l	l	NOUN
fcis-13847	120	17	(	(	PUNCT
fcis-13847	120	18	8)	8)	NUM
fcis-13847	120	19	in	in	ADP
fcis-13847	120	20	the	the	DET
fcis-13847	120	21	frame	frame	NOUN
fcis-13847	120	22	regression	regression	NOUN
fcis-13847	120	23	,	,	PUNCT
fcis-13847	120	24	the	the	DET
fcis-13847	120	25	model	model	NOUN
fcis-13847	120	26	will	will	AUX
fcis-13847	120	27	focus	focus	VERB
fcis-13847	120	28	on	on	ADP
fcis-13847	120	29	the	the	DET
fcis-13847	120	30	anchor	anchor	NOUN
fcis-13847	120	31	frame	frame	NOUN
fcis-13847	120	32	of	of	ADP
fcis-13847	120	33	ordinary	ordinary	ADJ
fcis-13847	120	34	quality	quality	NOUN
fcis-13847	120	35	.	.	PUNCT
fcis-13847	121	1	the	the	DET
fcis-13847	121	2	idea	idea	NOUN
fcis-13847	121	3	of	of	ADP
fcis-13847	121	4	this	this	DET
fcis-13847	121	5	strategy	strategy	NOUN
fcis-13847	121	6	is	be	AUX
fcis-13847	121	7	to	to	PART
fcis-13847	121	8	enhance	enhance	VERB
fcis-13847	121	9	the	the	DET
fcis-13847	121	10	whole	whole	NOUN
fcis-13847	121	11	,	,	PUNCT
fcis-13847	121	12	so	so	CCONJ
fcis-13847	121	13	the	the	DET
fcis-13847	121	14	gradient	gradient	ADJ
fcis-13847	121	15	contribution	contribution	NOUN
fcis-13847	121	16	of	of	ADP
fcis-13847	121	17	low	low	ADJ
fcis-13847	121	18	quality	quality	NOUN
fcis-13847	121	19	anchor	anchor	NOUN
fcis-13847	121	20	frame	frame	NOUN
fcis-13847	121	21	and	and	CCONJ
fcis-13847	121	22	high	high	ADJ
fcis-13847	121	23	quality	quality	NOUN
fcis-13847	121	24	anchor	anchor	NOUN
fcis-13847	121	25	frame	frame	NOUN
fcis-13847	121	26	is	be	AUX
fcis-13847	121	27	suppressed	suppress	VERB
fcis-13847	121	28	at	at	ADP
fcis-13847	121	29	the	the	DET
fcis-13847	121	30	same	same	ADJ
fcis-13847	121	31	time	time	NOUN
fcis-13847	121	32	.	.	PUNCT
fcis-13847	122	1	the	the	DET
fcis-13847	122	2	model	model	NOUN
fcis-13847	122	3	can	can	AUX
fcis-13847	122	4	be	be	AUX
fcis-13847	122	5	focused	focus	VERB
fcis-13847	122	6	on	on	ADP
fcis-13847	122	7	the	the	DET
fcis-13847	122	8	common	common	ADJ
fcis-13847	122	9	quality	quality	NOUN
fcis-13847	122	10	of	of	ADP
fcis-13847	122	11	the	the	DET
fcis-13847	122	12	anchor	anchor	NOUN
fcis-13847	122	13	frame	frame	NOUN
fcis-13847	122	14	,	,	PUNCT
fcis-13847	122	15	thereby	thereby	ADV
fcis-13847	122	16	improving	improve	VERB
fcis-13847	122	17	the	the	DET
fcis-13847	122	18	model	model	NOUN
fcis-13847	122	19	performance	performance	NOUN
fcis-13847	122	20	from	from	ADP
fcis-13847	122	21	an	an	DET
fcis-13847	122	22	overall	overall	ADJ
fcis-13847	122	23	perspective	perspective	NOUN
fcis-13847	122	24	.	.	PUNCT
fcis-13847	123	1	4	4	X
fcis-13847	123	2	.	.	X
fcis-13847	123	3	experimental	experimental	ADJ
fcis-13847	123	4	environment	environment	NOUN
fcis-13847	123	5	and	and	CCONJ
fcis-13847	123	6	result	result	VERB
fcis-13847	123	7	analysis	analysis	NOUN
fcis-13847	123	8	4.1	4.1	NUM
fcis-13847	123	9	.	.	PUNCT
fcis-13847	124	1	experimental	experimental	ADJ
fcis-13847	124	2	environment	environment	NOUN
fcis-13847	124	3	all	all	DET
fcis-13847	124	4	experiments	experiment	NOUN
fcis-13847	124	5	were	be	AUX
fcis-13847	124	6	performed	perform	VERB
fcis-13847	124	7	in	in	ADP
fcis-13847	124	8	the	the	DET
fcis-13847	124	9	following	follow	VERB
fcis-13847	124	10	environments	environment	NOUN
fcis-13847	124	11	:	:	PUNCT
fcis-13847	124	12	intel	intel	PROPN
fcis-13847	124	13	®	®	PROPN
fcis-13847	124	14	xeon	xeon	PROPN
fcis-13847	124	15	®	®	PROPN
fcis-13847	124	16	processor	processor	NOUN
fcis-13847	124	17	e5	e5	PROPN
fcis-13847	124	18	-	-	PUNCT
fcis-13847	124	19	2690	2690	NUM
fcis-13847	124	20	v3	v3	PROPN
fcis-13847	124	21	cpu	cpu	PROPN
fcis-13847	124	22	,	,	PUNCT
fcis-13847	124	23	nvidia	nvidia	PROPN
fcis-13847	124	24	quadro	quadro	PROPN
fcis-13847	124	25	p5000	p5000	PROPN
fcis-13847	124	26	(	(	PUNCT
fcis-13847	124	27	16	16	NUM
fcis-13847	124	28	gb	gb	PROPN
fcis-13847	124	29	video	video	NOUN
fcis-13847	124	30	memory	memory	NOUN
fcis-13847	124	31	)	)	PUNCT
fcis-13847	124	32	gpu	gpu	PROPN
fcis-13847	124	33	,	,	PUNCT
fcis-13847	124	34	64	64	NUM
fcis-13847	124	35	gb	gb	NOUN
fcis-13847	124	36	memory	memory	NOUN
fcis-13847	124	37	,	,	PUNCT
fcis-13847	124	38	and	and	CCONJ
fcis-13847	124	39	windows10	windows10	NOUN
fcis-13847	124	40	operating	operating	NOUN
fcis-13847	124	41	system	system	NOUN
fcis-13847	124	42	.	.	PUNCT
fcis-13847	125	1	development	development	NOUN
fcis-13847	125	2	environment	environment	PROPN
fcis-13847	125	3	pycharm2022	pycharm2022	PROPN
fcis-13847	125	4	,	,	PUNCT
fcis-13847	125	5	python3.9	python3.9	NOUN
fcis-13847	125	6	,	,	PUNCT
fcis-13847	125	7	pytorch1.10.1	pytorch1.10.1	NOUN
fcis-13847	125	8	.	.	PUNCT
fcis-13847	126	1	4.2	4.2	NUM
fcis-13847	126	2	.	.	PUNCT
fcis-13847	126	3	data	datum	NOUN
fcis-13847	126	4	sets	set	NOUN
fcis-13847	126	5	and	and	CCONJ
fcis-13847	126	6	data	datum	NOUN
fcis-13847	126	7	enhancement	enhancement	NOUN
fcis-13847	126	8	the	the	DET
fcis-13847	126	9	research	research	NOUN
fcis-13847	126	10	data	datum	NOUN
fcis-13847	126	11	is	be	AUX
fcis-13847	126	12	derived	derive	VERB
fcis-13847	126	13	from	from	ADP
fcis-13847	126	14	the	the	DET
fcis-13847	126	15	ground	ground	NOUN
fcis-13847	126	16	surveillance	surveillance	NOUN
fcis-13847	126	17	video	video	NOUN
fcis-13847	126	18	of	of	ADP
fcis-13847	126	19	multiple	multiple	ADJ
fcis-13847	126	20	civil	civil	ADJ
fcis-13847	126	21	aviation	aviation	NOUN
fcis-13847	126	22	airports	airport	NOUN
fcis-13847	126	23	,	,	PUNCT
fcis-13847	126	24	and	and	CCONJ
fcis-13847	126	25	the	the	DET
fcis-13847	126	26	surveillance	surveillance	NOUN
fcis-13847	126	27	video	video	NOUN
fcis-13847	126	28	is	be	AUX
fcis-13847	126	29	processed	process	VERB
fcis-13847	126	30	to	to	PART
fcis-13847	126	31	form	form	VERB
fcis-13847	126	32	a	a	DET
fcis-13847	126	33	data	data	NOUN
fcis-13847	126	34	set	set	VERB
fcis-13847	126	35	.	.	PUNCT
fcis-13847	127	1	the	the	DET
fcis-13847	127	2	real	real	PROPN
fcis-13847	127	3	fog	fog	PROPN
fcis-13847	127	4	scene	scene	NOUN
fcis-13847	127	5	images	image	NOUN
fcis-13847	127	6	were	be	AUX
fcis-13847	127	7	extracted	extract	VERB
fcis-13847	127	8	as	as	ADP
fcis-13847	127	9	the	the	DET
fcis-13847	127	10	real	real	ADJ
fcis-13847	127	11	test	test	NOUN
fcis-13847	127	12	set	set	NOUN
fcis-13847	127	13	,	,	PUNCT
fcis-13847	127	14	a	a	DET
fcis-13847	127	15	total	total	NOUN
fcis-13847	127	16	of	of	ADP
fcis-13847	127	17	375	375	NUM
fcis-13847	127	18	images	image	NOUN
fcis-13847	127	19	,	,	PUNCT
fcis-13847	127	20	and	and	CCONJ
fcis-13847	127	21	the	the	DET
fcis-13847	127	22	remaining	remain	VERB
fcis-13847	127	23	clear	clear	ADJ
fcis-13847	127	24	images	image	NOUN
fcis-13847	127	25	were	be	AUX
fcis-13847	127	26	used	use	VERB
fcis-13847	127	27	as	as	ADP
fcis-13847	127	28	the	the	DET
fcis-13847	127	29	training	training	NOUN
fcis-13847	127	30	set	set	NOUN
fcis-13847	127	31	.	.	PUNCT
fcis-13847	128	1	two	two	NUM
fcis-13847	128	2	fog	fog	NOUN
fcis-13847	128	3	synthesis	synthesis	NOUN
fcis-13847	128	4	methods	method	NOUN
fcis-13847	128	5	were	be	AUX
fcis-13847	128	6	used	use	VERB
fcis-13847	128	7	to	to	PART
fcis-13847	128	8	enhance	enhance	VERB
fcis-13847	128	9	the	the	DET
fcis-13847	128	10	image	image	NOUN
fcis-13847	128	11	pre	pre	ADJ
fcis-13847	128	12	-	-	ADJ
fcis-13847	128	13	processing	processing	NOUN
fcis-13847	128	14	of	of	ADP
fcis-13847	128	15	the	the	DET
fcis-13847	128	16	training	training	NOUN
fcis-13847	128	17	set	set	VERB
fcis-13847	128	18	in	in	ADP
fcis-13847	128	19	the	the	DET
fcis-13847	128	20	way	way	NOUN
fcis-13847	128	21	of	of	ADP
fcis-13847	128	22	uniform	uniform	ADJ
fcis-13847	128	23	interval	interval	NOUN
fcis-13847	128	24	extraction	extraction	NOUN
fcis-13847	128	25	.	.	PUNCT
fcis-13847	129	1	one	one	NUM
fcis-13847	129	2	was	be	AUX
fcis-13847	129	3	reverse	reverse	ADJ
fcis-13847	129	4	fog	fog	NOUN
fcis-13847	129	5	synthesis	synthesis	NOUN
fcis-13847	129	6	based	base	VERB
fcis-13847	129	7	on	on	ADP
fcis-13847	129	8	the	the	DET
fcis-13847	129	9	dark	dark	ADJ
fcis-13847	129	10	channel	channel	NOUN
fcis-13847	129	11	de	de	ADJ
fcis-13847	129	12	-	-	ADJ
fcis-13847	129	13	fogging	fogging	ADJ
fcis-13847	129	14	process	process	NOUN
fcis-13847	129	15	,	,	PUNCT
fcis-13847	129	16	and	and	CCONJ
fcis-13847	129	17	the	the	DET
fcis-13847	129	18	other	other	ADJ
fcis-13847	129	19	was	be	AUX
fcis-13847	129	20	fog	fog	NOUN
fcis-13847	129	21	synthesis	synthesis	NOUN
fcis-13847	129	22	based	base	VERB
fcis-13847	129	23	on	on	ADP
fcis-13847	129	24	the	the	DET
fcis-13847	129	25	atmospheric	atmospheric	ADJ
fcis-13847	129	26	light	light	NOUN
fcis-13847	129	27	scattering	scatter	VERB
fcis-13847	129	28	model	model	NOUN
fcis-13847	129	29	formula	formula	NOUN
fcis-13847	129	30	and	and	CCONJ
fcis-13847	129	31	the	the	PRON
fcis-13847	129	32	higher	high	ADJ
fcis-13847	129	33	the	the	DET
fcis-13847	129	34	concentration	concentration	NOUN
fcis-13847	129	35	of	of	ADP
fcis-13847	129	36	the	the	DET
fcis-13847	129	37	distance	distance	NOUN
fcis-13847	129	38	.	.	PUNCT
fcis-13847	130	1	after	after	ADP
fcis-13847	130	2	data	data	NOUN
fcis-13847	130	3	enhancement	enhancement	NOUN
fcis-13847	130	4	,	,	PUNCT
fcis-13847	130	5	a	a	DET
fcis-13847	130	6	total	total	NOUN
fcis-13847	130	7	of	of	ADP
fcis-13847	130	8	3144	3144	NUM
fcis-13847	130	9	images	image	NOUN
fcis-13847	130	10	were	be	AUX
fcis-13847	130	11	obtained	obtain	VERB
fcis-13847	130	12	.	.	PUNCT
fcis-13847	131	1	the	the	DET
fcis-13847	131	2	training	training	NOUN
fcis-13847	131	3	set	set	NOUN
fcis-13847	131	4	and	and	CCONJ
fcis-13847	131	5	test	test	NOUN
fcis-13847	131	6	set	set	VERB
fcis-13847	131	7	instances	instance	NOUN
fcis-13847	131	8	are	be	AUX
fcis-13847	131	9	shown	show	VERB
fcis-13847	131	10	in	in	ADP
fcis-13847	131	11	figure	figure	NOUN
fcis-13847	131	12	7	7	NUM
fcis-13847	131	13	and	and	CCONJ
fcis-13847	131	14	table	table	NOUN
fcis-13847	131	15	3	3	NUM
fcis-13847	131	16	.	.	X
fcis-13847	131	17	plane	plane	NOUN
fcis-13847	131	18	cabin	cabin	NOUN
fcis-13847	131	19	door	door	NOUN
fcis-13847	131	20	cargo	cargo	NOUN
fcis-13847	131	21	door	door	NOUN
fcis-13847	131	22	baggage	baggage	NOUN
fcis-13847	131	23	carousel	carousel	NOUN
fcis-13847	131	24	truck	truck	NOUN
fcis-13847	131	25	stair	stair	NOUN
fcis-13847	131	26	truck	truck	NOUN
fcis-13847	131	27	food	food	NOUN
fcis-13847	131	28	truck	truck	NOUN
fcis-13847	131	29	water	water	NOUN
fcis-13847	131	30	service	service	NOUN
fcis-13847	131	31	truck	truck	NOUN
fcis-13847	131	32	follow	follow	VERB
fcis-13847	131	33	me	i	PRON
fcis-13847	131	34	car	car	NOUN
fcis-13847	131	35	fig	fig	NOUN
fcis-13847	131	36	7	7	NUM
fcis-13847	131	37	.	.	PUNCT
fcis-13847	132	1	all	all	DET
fcis-13847	132	2	categories	category	NOUN
fcis-13847	132	3	table	table	VERB
fcis-13847	132	4	3	3	NUM
fcis-13847	132	5	.	.	NOUN
fcis-13847	132	6	category	category	NOUN
fcis-13847	132	7	and	and	CCONJ
fcis-13847	132	8	number	number	NOUN
fcis-13847	132	9	of	of	ADP
fcis-13847	132	10	instances	instance	NOUN
fcis-13847	132	11	category	category	NOUN
fcis-13847	132	12	number	number	NOUN
fcis-13847	132	13	train	train	NOUN
fcis-13847	132	14	dataset	dataset	NOUN
fcis-13847	132	15	test	test	NOUN
fcis-13847	132	16	dataset	dataset	NOUN
fcis-13847	132	17	plane	plane	NOUN
fcis-13847	132	18	5751	5751	NUM
fcis-13847	132	19	716	716	NUM
fcis-13847	132	20	cabin	cabin	NOUN
fcis-13847	132	21	door	door	NOUN
fcis-13847	132	22	4656	4656	NUM
fcis-13847	132	23	105	105	NUM
fcis-13847	132	24	cargo	cargo	NOUN
fcis-13847	132	25	door	door	NOUN
fcis-13847	132	26	1750	1750	NUM
fcis-13847	132	27	175	175	NUM
fcis-13847	132	28	baggage	baggage	NOUN
fcis-13847	132	29	carousel	carousel	NOUN
fcis-13847	132	30	truck	truck	NOUN
fcis-13847	132	31	1099	1099	NUM
fcis-13847	132	32	174	174	NUM
fcis-13847	132	33	stair	stair	NOUN
fcis-13847	132	34	truck	truck	NOUN
fcis-13847	132	35	852	852	NUM
fcis-13847	132	36	173	173	NUM
fcis-13847	132	37	food	food	NOUN
fcis-13847	132	38	truck	truck	NOUN
fcis-13847	132	39	756	756	NUM
fcis-13847	132	40	91	91	NUM
fcis-13847	132	41	water	water	NOUN
fcis-13847	132	42	service	service	NOUN
fcis-13847	132	43	truck	truck	NOUN
fcis-13847	132	44	512	512	NUM
fcis-13847	132	45	103	103	NUM
fcis-13847	132	46	follow	follow	NOUN
fcis-13847	132	47	me	i	PRON
fcis-13847	132	48	car	car	NOUN
fcis-13847	132	49	484	484	NUM
fcis-13847	132	50	99	99	NUM
fcis-13847	132	51	4.3	4.3	NUM
fcis-13847	132	52	.	.	PUNCT
fcis-13847	132	53	evaluation	evaluation	NOUN
fcis-13847	132	54	index	index	NOUN
fcis-13847	132	55	the	the	DET
fcis-13847	132	56	experimental	experimental	ADJ
fcis-13847	132	57	results	result	NOUN
fcis-13847	132	58	used	use	VERB
fcis-13847	132	59	r	r	NOUN
fcis-13847	132	60	(	(	PUNCT
fcis-13847	132	61	recall	recall	NOUN
fcis-13847	132	62	)	)	PUNCT
fcis-13847	132	63	,	,	PUNCT
fcis-13847	132	64	mean	mean	VERB
fcis-13847	132	65	average	average	ADJ
fcis-13847	132	66	precision	precision	NOUN
fcis-13847	132	67	map	map	NOUN
fcis-13847	132	68	(	(	PUNCT
fcis-13847	132	69	mean	mean	VERB
fcis-13847	132	70	average	average	ADJ
fcis-13847	132	71	precision	precision	NOUN
fcis-13847	132	72	)	)	PUNCT
fcis-13847	132	73	,	,	PUNCT
fcis-13847	132	74	parameter	parameter	NOUN
fcis-13847	132	75	number	number	NOUN
fcis-13847	132	76	(	(	PUNCT
fcis-13847	132	77	params	param	NOUN
fcis-13847	132	78	)	)	PUNCT
fcis-13847	132	79	and	and	CCONJ
fcis-13847	132	80	floating	float	VERB
fcis-13847	132	81	-	-	PUNCT
fcis-13847	132	82	point	point	NOUN
fcis-13847	132	83	operations	operation	NOUN
fcis-13847	132	84	per	per	ADP
fcis-13847	132	85	second	second	ADJ
fcis-13847	132	86	(	(	PUNCT
fcis-13847	132	87	flops	flop	NOUN
fcis-13847	132	88	)	)	PUNCT
fcis-13847	132	89	as	as	ADP
fcis-13847	132	90	evaluation	evaluation	NOUN
fcis-13847	132	91	indexes	index	NOUN
fcis-13847	132	92	.	.	PUNCT
fcis-13847	133	1	4.4	4.4	NUM
fcis-13847	133	2	.	.	PUNCT
fcis-13847	134	1	training	training	NOUN
fcis-13847	134	2	strategies	strategy	NOUN
fcis-13847	134	3	the	the	DET
fcis-13847	134	4	training	training	NOUN
fcis-13847	134	5	rounds	round	NOUN
fcis-13847	134	6	of	of	ADP
fcis-13847	134	7	the	the	DET
fcis-13847	134	8	model	model	NOUN
fcis-13847	134	9	were	be	AUX
fcis-13847	134	10	set	set	VERB
fcis-13847	134	11	to	to	ADP
fcis-13847	134	12	300	300	NUM
fcis-13847	134	13	,	,	PUNCT
fcis-13847	134	14	the	the	DET
fcis-13847	134	15	picture	picture	NOUN
fcis-13847	134	16	size	size	NOUN
fcis-13847	134	17	was	be	AUX
fcis-13847	134	18	set	set	VERB
fcis-13847	134	19	to	to	ADP
fcis-13847	134	20	960×960	960×960	NUM
fcis-13847	134	21	,	,	PUNCT
fcis-13847	134	22	the	the	DET
fcis-13847	134	23	batch	batch	NOUN
fcis-13847	134	24	size	size	NOUN
fcis-13847	134	25	was	be	AUX
fcis-13847	134	26	set	set	VERB
fcis-13847	134	27	to	to	ADP
fcis-13847	134	28	7	7	NUM
fcis-13847	134	29	,	,	PUNCT
fcis-13847	134	30	the	the	DET
fcis-13847	134	31	optimizer	optimizer	NOUN
fcis-13847	134	32	was	be	AUX
fcis-13847	134	33	set	set	VERB
fcis-13847	134	34	to	to	ADP
fcis-13847	134	35	sgd	sgd	PROPN
fcis-13847	134	36	,	,	PUNCT
fcis-13847	134	37	the	the	DET
fcis-13847	134	38	initial	initial	ADJ
fcis-13847	134	39	learning	learning	NOUN
fcis-13847	134	40	rate	rate	NOUN
fcis-13847	134	41	was	be	AUX
fcis-13847	134	42	set	set	VERB
fcis-13847	134	43	to	to	ADP
fcis-13847	134	44	1e-2	1e-2	PROPN
fcis-13847	134	45	,	,	PUNCT
fcis-13847	134	46	the	the	DET
fcis-13847	134	47	final	final	ADJ
fcis-13847	134	48	learning	learning	NOUN
fcis-13847	134	49	rate	rate	NOUN
fcis-13847	134	50	to	to	ADP
fcis-13847	134	51	5e-4	5e-4	PROPN
fcis-13847	134	52	,	,	PUNCT
fcis-13847	134	53	the	the	DET
fcis-13847	134	54	initial	initial	ADJ
fcis-13847	134	55	moment	moment	NOUN
fcis-13847	134	56	was	be	AUX
fcis-13847	134	57	set	set	VERB
fcis-13847	134	58	to	to	ADP
fcis-13847	134	59	0.937	0.937	NUM
fcis-13847	134	60	,	,	PUNCT
fcis-13847	134	61	and	and	CCONJ
fcis-13847	134	62	image	image	NOUN
fcis-13847	134	63	-	-	PUNCT
fcis-13847	134	64	weights	weight	NOUN
fcis-13847	134	65	was	be	AUX
fcis-13847	134	66	turned	turn	VERB
fcis-13847	134	67	on	on	ADP
fcis-13847	134	68	.	.	PUNCT
fcis-13847	135	1	4.5	4.5	NUM
fcis-13847	135	2	.	.	PUNCT
fcis-13847	136	1	experiments	experiment	NOUN
fcis-13847	136	2	on	on	ADP
fcis-13847	136	3	coco2017	coco2017	PROPN
fcis-13847	136	4	dataset	dataset	VERB
fcis-13847	136	5	in	in	ADP
fcis-13847	136	6	order	order	NOUN
fcis-13847	136	7	to	to	PART
fcis-13847	136	8	get	get	VERB
fcis-13847	136	9	close	close	ADJ
fcis-13847	136	10	to	to	ADP
fcis-13847	136	11	the	the	DET
fcis-13847	136	12	target	target	NOUN
fcis-13847	136	13	categories	category	NOUN
fcis-13847	136	14	in	in	ADP
fcis-13847	136	15	the	the	DET
fcis-13847	136	16	airport	airport	NOUN
fcis-13847	136	17	,	,	PUNCT
fcis-13847	136	18	all	all	DET
fcis-13847	136	19	the	the	DET
fcis-13847	136	20	four	four	NUM
fcis-13847	136	21	categories	category	NOUN
fcis-13847	136	22	of	of	ADP
fcis-13847	136	23	aircraft	aircraft	NOUN
fcis-13847	136	24	,	,	PUNCT
fcis-13847	136	25	cars	car	NOUN
fcis-13847	136	26	,	,	PUNCT
fcis-13847	136	27	buses	bus	NOUN
fcis-13847	136	28	and	and	CCONJ
fcis-13847	136	29	trucks	truck	NOUN
fcis-13847	136	30	are	be	AUX
fcis-13847	136	31	extracted	extract	VERB
fcis-13847	136	32	from	from	ADP
fcis-13847	136	33	coco2017	coco2017	PROPN
fcis-13847	136	34	data	datum	NOUN
fcis-13847	136	35	set	set	VERB
fcis-13847	136	36	,	,	PUNCT
fcis-13847	136	37	and	and	CCONJ
fcis-13847	136	38	4,500	4,500	NUM
fcis-13847	136	39	pieces	piece	NOUN
fcis-13847	136	40	are	be	AUX
fcis-13847	136	41	randomly	randomly	ADV
fcis-13847	136	42	selected	select	VERB
fcis-13847	136	43	,	,	PUNCT
fcis-13847	136	44	of	of	ADP
fcis-13847	136	45	which	which	PRON
fcis-13847	136	46	4,000	4,000	NUM
fcis-13847	136	47	pieces	piece	NOUN
fcis-13847	136	48	are	be	AUX
fcis-13847	136	49	used	use	VERB
fcis-13847	136	50	as	as	ADP
fcis-13847	136	51	the	the	DET
fcis-13847	136	52	training	training	NOUN
fcis-13847	136	53	set	set	NOUN
fcis-13847	136	54	,	,	PUNCT
fcis-13847	136	55	and	and	CCONJ
fcis-13847	136	56	the	the	DET
fcis-13847	136	57	remaining	remain	VERB
fcis-13847	136	58	500	500	NUM
fcis-13847	136	59	pieces	piece	NOUN
fcis-13847	136	60	are	be	AUX
fcis-13847	136	61	used	use	VERB
fcis-13847	136	62	as	as	ADP
fcis-13847	136	63	the	the	DET
fcis-13847	136	64	test	test	NOUN
fcis-13847	136	65	set	set	VERB
fcis-13847	136	66	based	base	VERB
fcis-13847	136	67	on	on	ADP
fcis-13847	136	68	the	the	DET
fcis-13847	136	69	synthesis	synthesis	NOUN
fcis-13847	136	70	of	of	ADP
fcis-13847	136	71	fog	fog	NOUN
fcis-13847	136	72	images	image	NOUN
fcis-13847	136	73	based	base	VERB
fcis-13847	136	74	on	on	ADP
fcis-13847	136	75	the	the	DET
fcis-13847	136	76	principle	principle	NOUN
fcis-13847	136	77	of	of	ADP
fcis-13847	136	78	atmospheric	atmospheric	ADJ
fcis-13847	136	79	light	light	NOUN
fcis-13847	136	80	scattering	scattering	NOUN
fcis-13847	136	81	.	.	PUNCT
fcis-13847	137	1	the	the	DET
fcis-13847	137	2	test	test	NOUN
fcis-13847	137	3	results	result	NOUN
fcis-13847	137	4	are	be	AUX
fcis-13847	137	5	shown	show	VERB
fcis-13847	137	6	in	in	ADP
fcis-13847	137	7	table	table	NOUN
fcis-13847	137	8	4	4	NUM
fcis-13847	137	9	the	the	DET
fcis-13847	137	10	visualization	visualization	NOUN
fcis-13847	137	11	results	result	NOUN
fcis-13847	137	12	are	be	AUX
fcis-13847	137	13	shown	show	VERB
fcis-13847	137	14	in	in	ADP
fcis-13847	137	15	figure	figure	NOUN
fcis-13847	137	16	8	8	NUM
fcis-13847	137	17	.	.	PUNCT
fcis-13847	138	1	from	from	ADP
fcis-13847	138	2	the	the	DET
fcis-13847	138	3	comparison	comparison	NOUN
fcis-13847	138	4	between	between	ADP
fcis-13847	138	5	a-1	a-1	PROPN
fcis-13847	138	6	,	,	PUNCT
fcis-13847	138	7	b-1	b-1	PROPN
fcis-13847	138	8	,	,	PUNCT
fcis-13847	138	9	c-1	c-1	NOUN
fcis-13847	138	10	and	and	CCONJ
fcis-13847	138	11	a-2	a-2	PROPN
fcis-13847	138	12	,	,	PUNCT
fcis-13847	138	13	b-2	b-2	NOUN
fcis-13847	138	14	,	,	PUNCT
fcis-13847	138	15	c-2	c-2	NOUN
fcis-13847	138	16	,	,	PUNCT
fcis-13847	138	17	it	it	PRON
fcis-13847	138	18	can	can	AUX
fcis-13847	138	19	be	be	AUX
fcis-13847	138	20	observed	observe	VERB
fcis-13847	138	21	that	that	SCONJ
fcis-13847	138	22	the	the	DET
fcis-13847	138	23	improved	improved	ADJ
fcis-13847	138	24	algorithm	algorithm	NOUN
fcis-13847	138	25	can	can	AUX
fcis-13847	138	26	still	still	ADV
fcis-13847	138	27	obtain	obtain	VERB
fcis-13847	138	28	more	more	ADJ
fcis-13847	138	29	feature	feature	NOUN
fcis-13847	138	30	information	information	NOUN
fcis-13847	138	31	and	and	CCONJ
fcis-13847	138	32	detect	detect	VERB
fcis-13847	138	33	more	more	ADJ
fcis-13847	138	34	small	small	ADJ
fcis-13847	138	35	targets	target	NOUN
fcis-13847	138	36	in	in	ADP
fcis-13847	138	37	the	the	DET
fcis-13847	138	38	case	case	NOUN
fcis-13847	138	39	of	of	ADP
fcis-13847	138	40	dense	dense	ADJ
fcis-13847	138	41	fog	fog	PROPN
fcis-13847	138	42	,	,	PUNCT
fcis-13847	138	43	thus	thus	ADV
fcis-13847	138	44	improving	improve	VERB
fcis-13847	138	45	the	the	DET
fcis-13847	138	46	overall	overall	ADJ
fcis-13847	138	47	performance	performance	NOUN
fcis-13847	138	48	of	of	ADP
fcis-13847	138	49	the	the	DET
fcis-13847	138	50	41	41	NUM
fcis-13847	138	51	model	model	NOUN
fcis-13847	138	52	.	.	PUNCT
fcis-13847	139	1	it	it	PRON
fcis-13847	139	2	can	can	AUX
fcis-13847	139	3	also	also	ADV
fcis-13847	139	4	be	be	AUX
fcis-13847	139	5	seen	see	VERB
fcis-13847	139	6	from	from	ADP
fcis-13847	139	7	table	table	NOUN
fcis-13847	139	8	4	4	NUM
fcis-13847	139	9	that	that	SCONJ
fcis-13847	139	10	the	the	DET
fcis-13847	139	11	performance	performance	NOUN
fcis-13847	139	12	of	of	ADP
fcis-13847	139	13	the	the	DET
fcis-13847	139	14	improved	improved	ADJ
fcis-13847	139	15	detection	detection	NOUN
fcis-13847	139	16	algorithm	algorithm	NOUN
fcis-13847	139	17	is	be	AUX
fcis-13847	139	18	improved	improve	VERB
fcis-13847	139	19	by	by	ADP
fcis-13847	139	20	2.95	2.95	NUM
fcis-13847	139	21	%	%	NOUN
fcis-13847	139	22	.	.	PUNCT
fcis-13847	140	1	a-1	a-1	PROPN
fcis-13847	140	2	b-1	b-1	PROPN
fcis-13847	140	3	c-1	c-1	PROPN
fcis-13847	140	4	yolov7	yolov7	PROPN
fcis-13847	140	5	a-2	a-2	PROPN
fcis-13847	140	6	b-2	b-2	PROPN
fcis-13847	140	7	c-2	c-2	PROPN
fcis-13847	140	8	btm	btm	PROPN
fcis-13847	140	9	-	-	PUNCT
fcis-13847	140	10	yolo	yolo	PROPN
fcis-13847	140	11	fig	fig	NOUN
fcis-13847	140	12	8	8	NUM
fcis-13847	140	13	.	.	PUNCT
fcis-13847	141	1	detection	detection	NOUN
fcis-13847	141	2	results	result	NOUN
fcis-13847	141	3	on	on	ADP
fcis-13847	141	4	the	the	DET
fcis-13847	141	5	coco	coco	PROPN
fcis-13847	141	6	dataset	dataset	PROPN
fcis-13847	141	7	table	table	NOUN
fcis-13847	141	8	4	4	NUM
fcis-13847	141	9	.	.	PUNCT
fcis-13847	142	1	detection	detection	NOUN
fcis-13847	142	2	results	result	NOUN
fcis-13847	142	3	on	on	ADP
fcis-13847	142	4	the	the	DET
fcis-13847	142	5	coco	coco	PROPN
fcis-13847	142	6	dataset	dataset	PROPN
fcis-13847	142	7	model	model	PROPN
fcis-13847	142	8	airplane	airplane	NOUN
fcis-13847	142	9	car	car	NOUN
fcis-13847	142	10	bus	bus	NOUN
fcis-13847	142	11	truck	truck	NOUN
fcis-13847	142	12	map0.5/%	map0.5/%	X
fcis-13847	143	1	ap0.5/%	ap0.5/%	X
fcis-13847	143	2	yolov7	yolov7	NOUN
fcis-13847	144	1	76.51	76.51	NUM
fcis-13847	144	2	74.33	74.33	NUM
fcis-13847	144	3	82.19	82.19	NUM
fcis-13847	144	4	78.64	78.64	NUM
fcis-13847	144	5	77.92	77.92	NUM
fcis-13847	144	6	btmyolo	btmyolo	ADP
fcis-13847	144	7	76.37	76.37	NUM
fcis-13847	144	8	83.26	83.26	NUM
fcis-13847	144	9	84.01	84.01	NUM
fcis-13847	144	10	79.83	79.83	NUM
fcis-13847	144	11	80.87	80.87	NUM
fcis-13847	144	12	4.6	4.6	NUM
fcis-13847	144	13	.	.	PUNCT
fcis-13847	145	1	ablation	ablation	NOUN
fcis-13847	145	2	experiment	experiment	NOUN
fcis-13847	145	3	in	in	ADP
fcis-13847	145	4	order	order	NOUN
fcis-13847	145	5	to	to	PART
fcis-13847	145	6	verify	verify	VERB
fcis-13847	145	7	whether	whether	SCONJ
fcis-13847	145	8	all	all	DET
fcis-13847	145	9	the	the	DET
fcis-13847	145	10	improvements	improvement	NOUN
fcis-13847	145	11	are	be	AUX
fcis-13847	145	12	effective	effective	ADJ
fcis-13847	145	13	for	for	ADP
fcis-13847	145	14	the	the	DET
fcis-13847	145	15	detection	detection	NOUN
fcis-13847	145	16	task	task	NOUN
fcis-13847	145	17	of	of	ADP
fcis-13847	145	18	flight	flight	NOUN
fcis-13847	145	19	support	support	NOUN
fcis-13847	145	20	nodes	node	NOUN
fcis-13847	145	21	in	in	ADP
fcis-13847	145	22	fogday	fogday	ADJ
fcis-13847	145	23	scenarios	scenario	NOUN
fcis-13847	145	24	,	,	PUNCT
fcis-13847	145	25	all	all	DET
fcis-13847	145	26	the	the	DET
fcis-13847	145	27	improvements	improvement	NOUN
fcis-13847	145	28	are	be	AUX
fcis-13847	145	29	verified	verify	VERB
fcis-13847	145	30	,	,	PUNCT
fcis-13847	145	31	and	and	CCONJ
fcis-13847	145	32	the	the	DET
fcis-13847	145	33	results	result	NOUN
fcis-13847	145	34	are	be	AUX
fcis-13847	145	35	shown	show	VERB
fcis-13847	145	36	in	in	ADP
fcis-13847	145	37	table	table	NOUN
fcis-13847	145	38	5	5	NUM
fcis-13847	145	39	.	.	PUNCT
fcis-13847	146	1	the	the	DET
fcis-13847	146	2	visualization	visualization	NOUN
fcis-13847	146	3	results	result	NOUN
fcis-13847	146	4	are	be	AUX
fcis-13847	146	5	shown	show	VERB
fcis-13847	146	6	in	in	ADP
fcis-13847	146	7	figure	figure	NOUN
fcis-13847	146	8	8	8	NUM
fcis-13847	146	9	.	.	PUNCT
fcis-13847	147	1	after	after	ADP
fcis-13847	147	2	adding	add	VERB
fcis-13847	147	3	nehead	nehead	ADJ
fcis-13847	147	4	detection	detection	NOUN
fcis-13847	147	5	head	head	NOUN
fcis-13847	147	6	,	,	PUNCT
fcis-13847	147	7	the	the	DET
fcis-13847	147	8	small	small	ADJ
fcis-13847	147	9	target	target	NOUN
fcis-13847	147	10	detection	detection	NOUN
fcis-13847	147	11	capability	capability	NOUN
fcis-13847	147	12	of	of	ADP
fcis-13847	147	13	the	the	DET
fcis-13847	147	14	model	model	NOUN
fcis-13847	147	15	is	be	AUX
fcis-13847	147	16	enhanced	enhance	VERB
fcis-13847	147	17	,	,	PUNCT
fcis-13847	147	18	along	along	ADP
fcis-13847	147	19	with	with	ADP
fcis-13847	147	20	the	the	DET
fcis-13847	147	21	overall	overall	ADJ
fcis-13847	147	22	detection	detection	NOUN
fcis-13847	147	23	performance	performance	NOUN
fcis-13847	147	24	,	,	PUNCT
fcis-13847	147	25	the	the	DET
fcis-13847	147	26	number	number	NOUN
fcis-13847	147	27	of	of	ADP
fcis-13847	147	28	parameters	parameter	NOUN
fcis-13847	147	29	is	be	AUX
fcis-13847	147	30	increased	increase	VERB
fcis-13847	147	31	slightly	slightly	ADV
fcis-13847	147	32	,	,	PUNCT
fcis-13847	147	33	and	and	CCONJ
fcis-13847	147	34	the	the	DET
fcis-13847	147	35	average	average	ADJ
fcis-13847	147	36	accuracy	accuracy	NOUN
fcis-13847	147	37	is	be	AUX
fcis-13847	147	38	increased	increase	VERB
fcis-13847	147	39	by	by	ADP
fcis-13847	147	40	1.74	1.74	NUM
fcis-13847	147	41	%	%	NOUN
fcis-13847	147	42	.	.	PUNCT
fcis-13847	148	1	after	after	SCONJ
fcis-13847	148	2	the	the	DET
fcis-13847	148	3	ovrafe	ovrafe	ADJ
fcis-13847	148	4	module	module	NOUN
fcis-13847	148	5	is	be	AUX
fcis-13847	148	6	added	add	VERB
fcis-13847	148	7	,	,	PUNCT
fcis-13847	148	8	the	the	DET
fcis-13847	148	9	deep	deep	ADJ
fcis-13847	148	10	network	network	NOUN
fcis-13847	148	11	perceives	perceive	VERB
fcis-13847	148	12	more	more	ADJ
fcis-13847	148	13	feature	feature	NOUN
fcis-13847	148	14	details	detail	NOUN
fcis-13847	148	15	,	,	PUNCT
fcis-13847	148	16	the	the	DET
fcis-13847	148	17	detection	detection	NOUN
fcis-13847	148	18	head	head	NOUN
fcis-13847	148	19	perceives	perceive	VERB
fcis-13847	148	20	more	more	ADJ
fcis-13847	148	21	target	target	NOUN
fcis-13847	148	22	feature	feature	NOUN
fcis-13847	148	23	information	information	NOUN
fcis-13847	148	24	,	,	PUNCT
fcis-13847	148	25	and	and	CCONJ
fcis-13847	148	26	the	the	DET
fcis-13847	148	27	recognition	recognition	NOUN
fcis-13847	148	28	ability	ability	NOUN
fcis-13847	148	29	is	be	AUX
fcis-13847	148	30	enhanced	enhance	VERB
fcis-13847	148	31	,	,	PUNCT
fcis-13847	148	32	and	and	CCONJ
fcis-13847	148	33	the	the	DET
fcis-13847	148	34	average	average	ADJ
fcis-13847	148	35	accuracy	accuracy	NOUN
fcis-13847	148	36	is	be	AUX
fcis-13847	148	37	increased	increase	VERB
fcis-13847	148	38	by	by	ADP
fcis-13847	148	39	0.91	0.91	NUM
fcis-13847	148	40	%	%	NOUN
fcis-13847	148	41	.	.	PUNCT
fcis-13847	149	1	after	after	SCONJ
fcis-13847	149	2	the	the	DET
fcis-13847	149	3	loss	loss	NOUN
fcis-13847	149	4	function	function	NOUN
fcis-13847	149	5	wiou	wiou	NOUN
fcis-13847	149	6	is	be	AUX
fcis-13847	149	7	adopted	adopt	VERB
fcis-13847	149	8	,	,	PUNCT
fcis-13847	149	9	the	the	DET
fcis-13847	149	10	loss	loss	NOUN
fcis-13847	149	11	contribution	contribution	NOUN
fcis-13847	149	12	weight	weight	NOUN
fcis-13847	149	13	of	of	ADP
fcis-13847	149	14	ordinary	ordinary	ADJ
fcis-13847	149	15	quality	quality	NOUN
fcis-13847	149	16	samples	sample	NOUN
fcis-13847	149	17	is	be	AUX
fcis-13847	149	18	increased	increase	VERB
fcis-13847	149	19	in	in	ADP
fcis-13847	149	20	training	training	NOUN
fcis-13847	149	21	,	,	PUNCT
fcis-13847	149	22	and	and	CCONJ
fcis-13847	149	23	low	low	ADJ
fcis-13847	149	24	quality	quality	NOUN
fcis-13847	149	25	samples	sample	NOUN
fcis-13847	149	26	are	be	AUX
fcis-13847	149	27	suppressed	suppress	VERB
fcis-13847	149	28	.	.	PUNCT
fcis-13847	150	1	the	the	DET
fcis-13847	150	2	average	average	ADJ
fcis-13847	150	3	accuracy	accuracy	NOUN
fcis-13847	150	4	of	of	ADP
fcis-13847	150	5	the	the	DET
fcis-13847	150	6	improved	improved	ADJ
fcis-13847	150	7	model	model	NOUN
fcis-13847	150	8	btm	btm	PROPN
fcis-13847	150	9	-	-	PUNCT
fcis-13847	150	10	yolo	yolo	PROPN
fcis-13847	150	11	is	be	AUX
fcis-13847	150	12	increased	increase	VERB
fcis-13847	150	13	by	by	ADP
fcis-13847	150	14	0.67	0.67	NUM
fcis-13847	150	15	%	%	NOUN
fcis-13847	150	16	without	without	ADP
fcis-13847	150	17	increasing	increase	VERB
fcis-13847	150	18	the	the	DET
fcis-13847	150	19	number	number	NOUN
fcis-13847	150	20	of	of	ADP
fcis-13847	150	21	model	model	NOUN
fcis-13847	150	22	parameters	parameter	NOUN
fcis-13847	150	23	.	.	PUNCT
fcis-13847	151	1	compared	compare	VERB
fcis-13847	151	2	with	with	ADP
fcis-13847	151	3	the	the	DET
fcis-13847	151	4	original	original	ADJ
fcis-13847	151	5	model	model	NOUN
fcis-13847	151	6	yolo	yolo	PROPN
fcis-13847	151	7	v7	v7	NOUN
fcis-13847	151	8	,	,	PUNCT
fcis-13847	151	9	the	the	DET
fcis-13847	151	10	detection	detection	NOUN
fcis-13847	151	11	accuracy	accuracy	NOUN
fcis-13847	151	12	of	of	ADP
fcis-13847	151	13	the	the	DET
fcis-13847	151	14	improved	improved	ADJ
fcis-13847	151	15	model	model	NOUN
fcis-13847	151	16	btm	btm	PROPN
fcis-13847	151	17	-	-	PUNCT
fcis-13847	151	18	yolo	yolo	PROPN
fcis-13847	151	19	is	be	AUX
fcis-13847	151	20	increased	increase	VERB
fcis-13847	151	21	by	by	ADP
fcis-13847	151	22	3.32	3.32	NUM
fcis-13847	151	23	%	%	NOUN
fcis-13847	151	24	and	and	CCONJ
fcis-13847	151	25	the	the	DET
fcis-13847	151	26	number	number	NOUN
fcis-13847	151	27	of	of	ADP
fcis-13847	151	28	parameters	parameter	NOUN
fcis-13847	151	29	is	be	AUX
fcis-13847	151	30	increased	increase	VERB
fcis-13847	151	31	by	by	ADP
fcis-13847	151	32	0.61	0.61	NUM
fcis-13847	151	33	m.	m.	NOUN
fcis-13847	151	34	the	the	DET
fcis-13847	151	35	amount	amount	NOUN
fcis-13847	151	36	of	of	ADP
fcis-13847	151	37	calculation	calculation	NOUN
fcis-13847	151	38	increased	increase	VERB
fcis-13847	151	39	a	a	DET
fcis-13847	151	40	lot	lot	NOUN
fcis-13847	151	41	,	,	PUNCT
fcis-13847	151	42	but	but	CCONJ
fcis-13847	151	43	the	the	DET
fcis-13847	151	44	accuracy	accuracy	NOUN
fcis-13847	151	45	improved	improve	VERB
fcis-13847	151	46	.	.	PUNCT
fcis-13847	152	1	from	from	ADP
fcis-13847	152	2	the	the	DET
fcis-13847	152	3	comparison	comparison	NOUN
fcis-13847	152	4	of	of	ADP
fcis-13847	152	5	test	test	NOUN
fcis-13847	152	6	results	result	NOUN
fcis-13847	152	7	before	before	ADP
fcis-13847	152	8	and	and	CCONJ
fcis-13847	152	9	after	after	ADP
fcis-13847	152	10	the	the	DET
fcis-13847	152	11	model	model	NOUN
fcis-13847	152	12	improvement	improvement	NOUN
fcis-13847	152	13	in	in	ADP
fcis-13847	152	14	fig	fig	NOUN
fcis-13847	152	15	.	.	PUNCT
fcis-13847	153	1	9	9	NUM
fcis-13847	153	2	,	,	PUNCT
fcis-13847	153	3	it	it	PRON
fcis-13847	153	4	can	can	AUX
fcis-13847	153	5	be	be	AUX
fcis-13847	153	6	seen	see	VERB
fcis-13847	153	7	that	that	SCONJ
fcis-13847	153	8	in	in	ADP
fcis-13847	153	9	the	the	DET
fcis-13847	153	10	first	first	ADJ
fcis-13847	153	11	row	row	NOUN
fcis-13847	153	12	of	of	ADP
fcis-13847	153	13	comparison	comparison	NOUN
fcis-13847	153	14	,	,	PUNCT
fcis-13847	153	15	yolo	yolo	ADJ
fcis-13847	153	16	v7	v7	NOUN
fcis-13847	153	17	in	in	ADP
fcis-13847	153	18	fig	fig	NOUN
fcis-13847	153	19	.	.	PUNCT
fcis-13847	154	1	a-2	a-2	PROPN
fcis-13847	154	2	only	only	ADV
fcis-13847	154	3	selected	select	VERB
fcis-13847	154	4	the	the	DET
fcis-13847	154	5	main	main	ADJ
fcis-13847	154	6	part	part	NOUN
fcis-13847	154	7	of	of	ADP
fcis-13847	154	8	the	the	DET
fcis-13847	154	9	aircraft	aircraft	NOUN
fcis-13847	154	10	class	class	NOUN
fcis-13847	154	11	,	,	PUNCT
fcis-13847	154	12	and	and	CCONJ
fcis-13847	154	13	the	the	DET
fcis-13847	154	14	wing	wing	NOUN
fcis-13847	154	15	part	part	NOUN
fcis-13847	154	16	was	be	AUX
fcis-13847	154	17	excluded	exclude	VERB
fcis-13847	154	18	,	,	PUNCT
fcis-13847	154	19	and	and	CCONJ
fcis-13847	154	20	there	there	PRON
fcis-13847	154	21	was	be	VERB
fcis-13847	154	22	difficulty	difficulty	NOUN
fcis-13847	154	23	in	in	ADP
fcis-13847	154	24	classifying	classify	VERB
fcis-13847	154	25	food	food	NOUN
fcis-13847	154	26	trucks	truck	NOUN
fcis-13847	154	27	.	.	PUNCT
fcis-13847	155	1	the	the	DET
fcis-13847	155	2	btm	btm	PROPN
fcis-13847	155	3	-	-	PUNCT
fcis-13847	155	4	yolo	yolo	PROPN
fcis-13847	155	5	result	result	NOUN
fcis-13847	155	6	of	of	ADP
fcis-13847	155	7	a-3	a-3	PROPN
fcis-13847	155	8	included	include	VERB
fcis-13847	155	9	the	the	DET
fcis-13847	155	10	aircraft	aircraft	NOUN
fcis-13847	155	11	wing	wing	NOUN
fcis-13847	155	12	part	part	NOUN
fcis-13847	155	13	.	.	PUNCT
fcis-13847	156	1	the	the	DET
fcis-13847	156	2	position	position	NOUN
fcis-13847	156	3	of	of	ADP
fcis-13847	156	4	the	the	DET
fcis-13847	156	5	aircraft	aircraft	NOUN
fcis-13847	156	6	was	be	AUX
fcis-13847	156	7	accurately	accurately	ADV
fcis-13847	156	8	located	locate	VERB
fcis-13847	156	9	,	,	PUNCT
fcis-13847	156	10	and	and	CCONJ
fcis-13847	156	11	small	small	ADJ
fcis-13847	156	12	targets	target	NOUN
fcis-13847	156	13	such	such	ADJ
fcis-13847	156	14	as	as	ADP
fcis-13847	156	15	the	the	DET
fcis-13847	156	16	passenger	passenger	NOUN
fcis-13847	156	17	door	door	NOUN
fcis-13847	156	18	and	and	CCONJ
fcis-13847	156	19	the	the	DET
fcis-13847	156	20	cargo	cargo	NOUN
fcis-13847	156	21	door	door	NOUN
fcis-13847	156	22	at	at	ADP
fcis-13847	156	23	the	the	DET
fcis-13847	156	24	arrow	arrow	NOUN
fcis-13847	156	25	in	in	ADP
fcis-13847	156	26	the	the	DET
fcis-13847	156	27	figure	figure	NOUN
fcis-13847	156	28	were	be	AUX
fcis-13847	156	29	identified	identify	VERB
fcis-13847	156	30	;	;	PUNCT
fcis-13847	156	31	in	in	ADP
fcis-13847	156	32	the	the	DET
fcis-13847	156	33	second	second	ADJ
fcis-13847	156	34	row	row	NOUN
fcis-13847	156	35	,	,	PUNCT
fcis-13847	156	36	yolov7	yolov7	NOUN
fcis-13847	156	37	of	of	ADP
fcis-13847	156	38	figure	figure	NOUN
fcis-13847	156	39	b-2	b-2	PROPN
fcis-13847	156	40	misidentifies	misidentify	VERB
fcis-13847	156	41	the	the	DET
fcis-13847	156	42	cargo	cargo	NOUN
fcis-13847	156	43	trailer	trailer	NOUN
fcis-13847	156	44	at	at	ADP
fcis-13847	156	45	the	the	DET
fcis-13847	156	46	arrow	arrow	NOUN
fcis-13847	156	47	as	as	ADP
fcis-13847	156	48	a	a	DET
fcis-13847	156	49	food	food	NOUN
fcis-13847	156	50	truck	truck	NOUN
fcis-13847	156	51	,	,	PUNCT
fcis-13847	156	52	while	while	SCONJ
fcis-13847	156	53	b-3	b-3	PROPN
fcis-13847	156	54	's	's	PART
fcis-13847	156	55	btm	btm	PROPN
fcis-13847	156	56	-	-	PUNCT
fcis-13847	156	57	yolo	yolo	PROPN
fcis-13847	156	58	does	do	VERB
fcis-13847	156	59	not	not	PART
fcis-13847	156	60	,	,	PUNCT
fcis-13847	156	61	and	and	CCONJ
fcis-13847	156	62	correctly	correctly	ADV
fcis-13847	156	63	identifies	identify	VERB
fcis-13847	156	64	the	the	DET
fcis-13847	156	65	small	small	ADJ
fcis-13847	156	66	target	target	NOUN
fcis-13847	156	67	cabin	cabin	NOUN
fcis-13847	156	68	door	door	NOUN
fcis-13847	156	69	;	;	PUNCT
fcis-13847	156	70	in	in	ADP
fcis-13847	156	71	the	the	DET
fcis-13847	156	72	third	third	ADJ
fcis-13847	156	73	row	row	NOUN
fcis-13847	156	74	,	,	PUNCT
fcis-13847	156	75	c-2	c-2	NOUN
fcis-13847	156	76	's	's	PART
fcis-13847	156	77	yolov7	yolov7	NOUN
fcis-13847	156	78	did	do	AUX
fcis-13847	156	79	not	not	PART
fcis-13847	156	80	identify	identify	VERB
fcis-13847	156	81	the	the	DET
fcis-13847	156	82	target	target	NOUN
fcis-13847	156	83	,	,	PUNCT
fcis-13847	156	84	while	while	SCONJ
fcis-13847	156	85	c-3	c-3	PROPN
fcis-13847	156	86	's	's	PART
fcis-13847	156	87	btm	btm	PROPN
fcis-13847	156	88	-	-	PUNCT
fcis-13847	156	89	yolo	yolo	PROPN
fcis-13847	156	90	identified	identify	VERB
fcis-13847	156	91	the	the	DET
fcis-13847	156	92	passenger	passenger	NOUN
fcis-13847	156	93	elevator	elevator	NOUN
fcis-13847	156	94	and	and	CCONJ
fcis-13847	156	95	cargo	cargo	NOUN
fcis-13847	156	96	door	door	NOUN
fcis-13847	156	97	.	.	PUNCT
fcis-13847	157	1	fig	fig	NOUN
fcis-13847	157	2	9	9	NUM
fcis-13847	157	3	.	.	PUNCT
fcis-13847	157	4	comparison	comparison	NOUN
fcis-13847	157	5	of	of	ADP
fcis-13847	157	6	detection	detection	NOUN
fcis-13847	157	7	results	result	VERB
fcis-13847	157	8	before	before	ADP
fcis-13847	157	9	and	and	CCONJ
fcis-13847	157	10	after	after	ADP
fcis-13847	157	11	algorithm	algorithm	NOUN
fcis-13847	157	12	improvement	improvement	NOUN
fcis-13847	157	13	table	table	NOUN
fcis-13847	157	14	5	5	NUM
fcis-13847	157	15	.	.	PUNCT
fcis-13847	157	16	ablation	ablation	NOUN
fcis-13847	157	17	experiment	experiment	NOUN
fcis-13847	157	18	model	model	NOUN
fcis-13847	157	19	params	params	PROPN
fcis-13847	157	20	/	/	SYM
fcis-13847	157	21	m	m	NOUN
fcis-13847	157	22	flops	flop	NOUN
fcis-13847	157	23	/	/	SYM
fcis-13847	157	24	g	g	PROPN
fcis-13847	157	25	map0.5/%	map0.5/%	NOUN
fcis-13847	157	26	model	model	NOUN
fcis-13847	157	27	1	1	NUM
fcis-13847	157	28	:	:	PUNCT
fcis-13847	157	29	yolov7	yolov7	NOUN
fcis-13847	157	30	37.01	37.01	NUM
fcis-13847	157	31	105.1	105.1	NUM
fcis-13847	157	32	72.88	72.88	NUM
fcis-13847	157	33	model	model	NOUN
fcis-13847	157	34	2:1+nehead	2:1+nehead	NUM
fcis-13847	157	35	37.42	37.42	NUM
fcis-13847	157	36	116.8	116.8	NUM
fcis-13847	157	37	74.62	74.62	NUM
fcis-13847	157	38	model	model	NOUN
fcis-13847	157	39	3	3	NUM
fcis-13847	157	40	:	:	SYM
fcis-13847	157	41	2	2	NUM
fcis-13847	157	42	+	+	NUM
fcis-13847	157	43	ovrafe	ovrafe	NOUN
fcis-13847	157	44	37.62	37.62	NUM
fcis-13847	157	45	120.1	120.1	NUM
fcis-13847	157	46	75.53	75.53	NUM
fcis-13847	157	47	model	model	NOUN
fcis-13847	157	48	4	4	NUM
fcis-13847	157	49	:	:	SYM
fcis-13847	157	50	3	3	NUM
fcis-13847	157	51	+	+	NUM
fcis-13847	157	52	mwiou	mwiou	VERB
fcis-13847	157	53	37.62	37.62	NUM
fcis-13847	157	54	120.1	120.1	NUM
fcis-13847	157	55	76.20	76.20	NUM
fcis-13847	157	56	4.7	4.7	NUM
fcis-13847	157	57	.	.	PUNCT
fcis-13847	158	1	performance	performance	NOUN
fcis-13847	158	2	comparison	comparison	NOUN
fcis-13847	158	3	experiments	experiment	NOUN
fcis-13847	158	4	of	of	ADP
fcis-13847	158	5	various	various	ADJ
fcis-13847	158	6	algorithms	algorithm	NOUN
fcis-13847	158	7	the	the	DET
fcis-13847	158	8	algorithm	algorithm	NOUN
fcis-13847	158	9	in	in	ADP
fcis-13847	158	10	the	the	DET
fcis-13847	158	11	research	research	NOUN
fcis-13847	158	12	is	be	AUX
fcis-13847	158	13	based	base	VERB
fcis-13847	158	14	on	on	ADP
fcis-13847	158	15	the	the	DET
fcis-13847	158	16	improvement	improvement	NOUN
fcis-13847	158	17	of	of	ADP
fcis-13847	158	18	yolo	yolo	ADJ
fcis-13847	158	19	v7	v7	NOUN
fcis-13847	158	20	.	.	PUNCT
fcis-13847	159	1	in	in	ADP
fcis-13847	159	2	order	order	NOUN
fcis-13847	159	3	to	to	PART
fcis-13847	159	4	verify	verify	VERB
fcis-13847	159	5	the	the	DET
fcis-13847	159	6	performance	performance	NOUN
fcis-13847	159	7	of	of	ADP
fcis-13847	159	8	btmyolo	btmyolo	ADJ
fcis-13847	159	9	algorithm	algorithm	NOUN
fcis-13847	159	10	,	,	PUNCT
fcis-13847	159	11	the	the	DET
fcis-13847	159	12	image	image	NOUN
fcis-13847	159	13	size	size	NOUN
fcis-13847	159	14	is	be	AUX
fcis-13847	159	15	960×960	960×960	NUM
fcis-13847	159	16	,	,	PUNCT
fcis-13847	159	17	which	which	PRON
fcis-13847	159	18	is	be	AUX
fcis-13847	159	19	compared	compare	VERB
fcis-13847	159	20	with	with	ADP
fcis-13847	159	21	other	other	ADJ
fcis-13847	159	22	target	target	NOUN
fcis-13847	159	23	detection	detection	NOUN
fcis-13847	159	24	algorithms	algorithm	NOUN
fcis-13847	159	25	.	.	PUNCT
fcis-13847	160	1	it	it	PRON
fcis-13847	160	2	includes	include	VERB
fcis-13847	160	3	two	two	NUM
fcis-13847	160	4	-	-	PUNCT
fcis-13847	160	5	stage	stage	NOUN
fcis-13847	160	6	target	target	NOUN
fcis-13847	160	7	detection	detection	NOUN
fcis-13847	160	8	algorithm	algorithm	NOUN
fcis-13847	160	9	cascade	cascade	NOUN
fcis-13847	160	10	r	r	NOUN
fcis-13847	160	11	-	-	PUNCT
fcis-13847	160	12	cnn	cnn	PROPN
fcis-13847	160	13	and	and	CCONJ
fcis-13847	160	14	single	single	ADJ
fcis-13847	160	15	-	-	PUNCT
fcis-13847	160	16	stage	stage	NOUN
fcis-13847	160	17	target	target	NOUN
fcis-13847	160	18	detection	detection	NOUN
fcis-13847	160	19	algorithm	algorithm	NOUN
fcis-13847	160	20	yolov4	yolov4	PROPN
fcis-13847	160	21	,	,	PUNCT
fcis-13847	160	22	yolov5	yolov5	NOUN
fcis-13847	160	23	,	,	PUNCT
fcis-13847	160	24	yolov7	yolov7	NOUN
fcis-13847	160	25	and	and	CCONJ
fcis-13847	160	26	yolov8	yolov8	PROPN
fcis-13847	160	27	.	.	PUNCT
fcis-13847	161	1	the	the	DET
fcis-13847	161	2	cascade	cascade	NOUN
fcis-13847	161	3	r	r	NOUN
fcis-13847	161	4	-	-	PUNCT
fcis-13847	161	5	cnn	cnn	PROPN
fcis-13847	161	6	backbone	backbone	NOUN
fcis-13847	161	7	network	network	NOUN
fcis-13847	161	8	adopts	adopt	VERB
fcis-13847	161	9	resnet50	resnet50	NOUN
fcis-13847	161	10	fpn	fpn	PROPN
fcis-13847	161	11	,	,	PUNCT
fcis-13847	161	12	while	while	SCONJ
fcis-13847	161	13	several	several	ADJ
fcis-13847	161	14	algorithms	algorithm	NOUN
fcis-13847	161	15	of	of	ADP
fcis-13847	161	16	the	the	DET
fcis-13847	161	17	yolo	yolo	ADJ
fcis-13847	161	18	series	series	NOUN
fcis-13847	161	19	are	be	AUX
fcis-13847	161	20	based	base	VERB
fcis-13847	161	21	on	on	ADP
fcis-13847	161	22	darknet53	darknet53	NOUN
fcis-13847	161	23	.	.	PUNCT
fcis-13847	162	1	table	table	NOUN
fcis-13847	162	2	6	6	NUM
fcis-13847	162	3	shows	show	VERB
fcis-13847	162	4	the	the	DET
fcis-13847	162	5	detection	detection	NOUN
fcis-13847	162	6	result	result	VERB
fcis-13847	162	7	data	datum	NOUN
fcis-13847	162	8	,	,	PUNCT
fcis-13847	162	9	and	and	CCONJ
fcis-13847	162	10	figure	figure	VERB
fcis-13847	162	11	10	10	NUM
fcis-13847	162	12	shows	show	VERB
fcis-13847	162	13	the	the	DET
fcis-13847	162	14	detection	detection	NOUN
fcis-13847	162	15	result	result	NOUN
fcis-13847	162	16	of	of	ADP
fcis-13847	162	17	the	the	DET
fcis-13847	162	18	visual	visual	ADJ
fcis-13847	162	19	test	test	NOUN
fcis-13847	162	20	set	set	VERB
fcis-13847	162	21	.	.	PUNCT
fcis-13847	163	1	the	the	DET
fcis-13847	163	2	thick	thick	ADJ
fcis-13847	163	3	wire	wire	NOUN
fcis-13847	163	4	frame	frame	NOUN
fcis-13847	163	5	identification	identification	NOUN
fcis-13847	163	6	of	of	ADP
fcis-13847	163	7	the	the	DET
fcis-13847	163	8	target	target	NOUN
fcis-13847	163	9	is	be	AUX
fcis-13847	163	10	not	not	PART
fcis-13847	163	11	detected	detect	VERB
fcis-13847	163	12	,	,	PUNCT
fcis-13847	163	13	and	and	CCONJ
fcis-13847	163	14	the	the	DET
fcis-13847	163	15	misdetected	misdetecte	VERB
fcis-13847	163	16	target	target	NOUN
fcis-13847	163	17	is	be	AUX
fcis-13847	163	18	marked	mark	VERB
fcis-13847	163	19	by	by	ADP
fcis-13847	163	20	an	an	DET
fcis-13847	163	21	arrow	arrow	NOUN
fcis-13847	163	22	.	.	PUNCT
fcis-13847	164	1	large	large	ADJ
fcis-13847	164	2	targets	target	NOUN
fcis-13847	164	3	such	such	ADJ
fcis-13847	164	4	as	as	ADP
fcis-13847	164	5	aircraft	aircraft	NOUN
fcis-13847	164	6	and	and	CCONJ
fcis-13847	164	7	food	food	NOUN
fcis-13847	164	8	trucks	truck	NOUN
fcis-13847	164	9	are	be	AUX
fcis-13847	164	10	detected	detect	VERB
fcis-13847	164	11	stably	stably	ADV
fcis-13847	164	12	.	.	PUNCT
fcis-13847	165	1	the	the	DET
fcis-13847	165	2	cascade	cascade	NOUN
fcis-13847	165	3	r	r	NOUN
fcis-13847	165	4	-	-	PUNCT
fcis-13847	165	5	cnn	cnn	PROPN
fcis-13847	165	6	results	result	NOUN
fcis-13847	165	7	of	of	ADP
fcis-13847	165	8	fig	fig	NOUN
fcis-13847	165	9	.	.	PUNCT
fcis-13847	166	1	a-1	a-1	PROPN
fcis-13847	166	2	and	and	CCONJ
fcis-13847	166	3	b-1	b-1	PROPN
fcis-13847	166	4	are	be	AUX
fcis-13847	166	5	good	good	ADJ
fcis-13847	166	6	,	,	PUNCT
fcis-13847	166	7	with	with	ADP
fcis-13847	166	8	only	only	ADV
fcis-13847	166	9	one	one	NUM
fcis-13847	166	10	cabin	cabin	NOUN
fcis-13847	166	11	door	door	NOUN
fcis-13847	166	12	missing	miss	VERB
fcis-13847	166	13	,	,	PUNCT
fcis-13847	166	14	while	while	SCONJ
fcis-13847	166	15	yolov4	yolov4	PROPN
fcis-13847	166	16	of	of	ADP
fcis-13847	166	17	fig	fig	PROPN
fcis-13847	166	18	.	.	PUNCT
fcis-13847	167	1	a-2	a-2	PROPN
fcis-13847	167	2	and	and	CCONJ
fcis-13847	167	3	b-2	b-2	PROPN
fcis-13847	167	4	and	and	CCONJ
fcis-13847	167	5	yolov5	yolov5	NOUN
fcis-13847	167	6	of	of	ADP
fcis-13847	167	7	fig	fig	PROPN
fcis-13847	167	8	.	.	PUNCT
fcis-13847	168	1	a3	a3	PROPN
fcis-13847	168	2	and	and	CCONJ
fcis-13847	168	3	b-3	b-3	PROPN
fcis-13847	168	4	are	be	AUX
fcis-13847	168	5	mostly	mostly	ADV
fcis-13847	168	6	missing	missing	ADJ
fcis-13847	168	7	.	.	PUNCT
fcis-13847	169	1	small	small	ADJ
fcis-13847	169	2	targets	target	NOUN
fcis-13847	169	3	such	such	ADJ
fcis-13847	169	4	as	as	ADP
fcis-13847	169	5	cabin	cabin	NOUN
fcis-13847	169	6	door	door	NOUN
fcis-13847	169	7	are	be	AUX
fcis-13847	169	8	not	not	PART
fcis-13847	169	9	detected	detect	VERB
fcis-13847	169	10	.	.	PUNCT
fcis-13847	170	1	yolov7	yolov7	NOUN
fcis-13847	170	2	in	in	ADP
fcis-13847	170	3	fig	fig	NOUN
fcis-13847	170	4	.	.	PUNCT
fcis-13847	171	1	a-4	a-4	PROPN
fcis-13847	171	2	and	and	CCONJ
fcis-13847	171	3	b-4	b-4	PROPN
fcis-13847	171	4	and	and	CCONJ
fcis-13847	171	5	yolov8	yolov8	NOUN
fcis-13847	171	6	in	in	ADP
fcis-13847	171	7	fig	fig	NOUN
fcis-13847	171	8	.	.	PUNCT
fcis-13847	172	1	a-5	a-5	PROPN
fcis-13847	172	2	and	and	CCONJ
fcis-13847	172	3	b-5	b-5	NUM
fcis-13847	172	4	have	have	VERB
fcis-13847	172	5	better	well	ADJ
fcis-13847	172	6	results	result	NOUN
fcis-13847	172	7	and	and	CCONJ
fcis-13847	172	8	less	less	ADV
fcis-13847	172	9	missed	missed	ADJ
fcis-13847	172	10	detection	detection	NOUN
fcis-13847	172	11	,	,	PUNCT
fcis-13847	172	12	while	while	SCONJ
fcis-13847	172	13	the	the	DET
fcis-13847	172	14	algorithm	algorithm	NOUN
fcis-13847	172	15	proposed	propose	VERB
fcis-13847	172	16	in	in	ADP
fcis-13847	172	17	this	this	DET
fcis-13847	172	18	paper	paper	NOUN
fcis-13847	172	19	significantly	significantly	ADV
fcis-13847	172	20	improves	improve	VERB
fcis-13847	172	21	the	the	DET
fcis-13847	172	22	detection	detection	NOUN
fcis-13847	172	23	performance	performance	NOUN
fcis-13847	172	24	of	of	ADP
fcis-13847	172	25	small	small	ADJ
fcis-13847	172	26	targets	target	NOUN
fcis-13847	172	27	.	.	PUNCT
fcis-13847	173	1	while	while	SCONJ
fcis-13847	173	2	maintaining	maintain	VERB
fcis-13847	173	3	the	the	DET
fcis-13847	173	4	overall	overall	ADJ
fcis-13847	173	5	detection	detection	NOUN
fcis-13847	173	6	performance	performance	NOUN
fcis-13847	173	7	,	,	PUNCT
fcis-13847	173	8	the	the	DET
fcis-13847	173	9	detection	detection	NOUN
fcis-13847	173	10	effect	effect	NOUN
fcis-13847	173	11	of	of	ADP
fcis-13847	173	12	small	small	ADJ
fcis-13847	173	13	targets	target	NOUN
fcis-13847	173	14	is	be	AUX
fcis-13847	173	15	significantly	significantly	ADV
fcis-13847	173	16	improved	improve	VERB
fcis-13847	173	17	.	.	PUNCT
fcis-13847	174	1	42	42	NUM
fcis-13847	174	2	fig	fig	NOUN
fcis-13847	174	3	10	10	NUM
fcis-13847	174	4	.	.	PUNCT
fcis-13847	174	5	comparison	comparison	NOUN
fcis-13847	174	6	of	of	ADP
fcis-13847	174	7	detection	detection	NOUN
fcis-13847	174	8	results	result	NOUN
fcis-13847	174	9	of	of	ADP
fcis-13847	174	10	multiple	multiple	ADJ
fcis-13847	174	11	algorithms	algorithm	NOUN
fcis-13847	174	12	5	5	NUM
fcis-13847	174	13	.	.	PUNCT
fcis-13847	175	1	conclusion	conclusion	NOUN
fcis-13847	175	2	ovrefa	ovrefa	PROPN
fcis-13847	175	3	up	up	ADV
fcis-13847	175	4	-	-	PUNCT
fcis-13847	175	5	sampling	sample	VERB
fcis-13847	175	6	module	module	NOUN
fcis-13847	175	7	is	be	AUX
fcis-13847	175	8	introduced	introduce	VERB
fcis-13847	175	9	to	to	PART
fcis-13847	175	10	expand	expand	VERB
fcis-13847	175	11	the	the	DET
fcis-13847	175	12	field	field	NOUN
fcis-13847	175	13	of	of	ADP
fcis-13847	175	14	perception	perception	NOUN
fcis-13847	175	15	,	,	PUNCT
fcis-13847	175	16	retain	retain	VERB
fcis-13847	175	17	more	more	ADJ
fcis-13847	175	18	features	feature	NOUN
fcis-13847	175	19	in	in	ADP
fcis-13847	175	20	the	the	DET
fcis-13847	175	21	sampling	sampling	NOUN
fcis-13847	175	22	process	process	NOUN
fcis-13847	175	23	,	,	PUNCT
fcis-13847	175	24	and	and	CCONJ
fcis-13847	175	25	alleviate	alleviate	VERB
fcis-13847	175	26	the	the	DET
fcis-13847	175	27	problems	problem	NOUN
fcis-13847	175	28	of	of	ADP
fcis-13847	175	29	image	image	NOUN
fcis-13847	175	30	detail	detail	NOUN
fcis-13847	175	31	distortion	distortion	NOUN
fcis-13847	175	32	and	and	CCONJ
fcis-13847	175	33	target	target	VERB
fcis-13847	175	34	feature	feature	NOUN
fcis-13847	175	35	information	information	NOUN
fcis-13847	175	36	loss	loss	NOUN
fcis-13847	175	37	.	.	PUNCT
fcis-13847	176	1	the	the	DET
fcis-13847	176	2	residual	residual	ADJ
fcis-13847	176	3	connection	connection	NOUN
fcis-13847	176	4	between	between	ADP
fcis-13847	176	5	the	the	DET
fcis-13847	176	6	shallow	shallow	ADJ
fcis-13847	176	7	layer	layer	NOUN
fcis-13847	176	8	and	and	CCONJ
fcis-13847	176	9	the	the	DET
fcis-13847	176	10	deep	deep	ADJ
fcis-13847	176	11	layer	layer	NOUN
fcis-13847	176	12	of	of	ADP
fcis-13847	176	13	the	the	DET
fcis-13847	176	14	backbone	backbone	NOUN
fcis-13847	176	15	network	network	NOUN
fcis-13847	176	16	is	be	AUX
fcis-13847	176	17	made	make	VERB
fcis-13847	176	18	to	to	PART
fcis-13847	176	19	improve	improve	VERB
fcis-13847	176	20	the	the	DET
fcis-13847	176	21	ability	ability	NOUN
fcis-13847	176	22	of	of	ADP
fcis-13847	176	23	the	the	DET
fcis-13847	176	24	network	network	NOUN
fcis-13847	176	25	to	to	PART
fcis-13847	176	26	feel	feel	VERB
fcis-13847	176	27	the	the	DET
fcis-13847	176	28	characteristic	characteristic	ADJ
fcis-13847	176	29	information	information	NOUN
fcis-13847	176	30	stably	stably	ADV
fcis-13847	176	31	.	.	PUNCT
fcis-13847	177	1	adding	add	VERB
fcis-13847	177	2	a	a	DET
fcis-13847	177	3	small	small	ADJ
fcis-13847	177	4	target	target	NOUN
fcis-13847	177	5	detection	detection	NOUN
fcis-13847	177	6	head	head	NOUN
fcis-13847	177	7	improves	improve	VERB
fcis-13847	177	8	the	the	DET
fcis-13847	177	9	performance	performance	NOUN
fcis-13847	177	10	of	of	ADP
fcis-13847	177	11	small	small	ADJ
fcis-13847	177	12	target	target	NOUN
fcis-13847	177	13	recognition	recognition	NOUN
fcis-13847	177	14	;	;	PUNCT
fcis-13847	177	15	the	the	DET
fcis-13847	177	16	ciou	ciou	NOUN
fcis-13847	177	17	function	function	NOUN
fcis-13847	177	18	is	be	AUX
fcis-13847	177	19	replaced	replace	VERB
fcis-13847	177	20	by	by	ADP
fcis-13847	177	21	the	the	DET
fcis-13847	177	22	mwiou	mwiou	NOUN
fcis-13847	177	23	bounding	bound	VERB
fcis-13847	177	24	loss	loss	NOUN
fcis-13847	177	25	function	function	NOUN
fcis-13847	177	26	to	to	PART
fcis-13847	177	27	suppress	suppress	VERB
fcis-13847	177	28	the	the	DET
fcis-13847	177	29	low	low	ADJ
fcis-13847	177	30	-	-	PUNCT
fcis-13847	177	31	quality	quality	NOUN
fcis-13847	177	32	samples	sample	NOUN
fcis-13847	177	33	whose	whose	DET
fcis-13847	177	34	number	number	NOUN
fcis-13847	177	35	expands	expand	VERB
fcis-13847	177	36	due	due	ADJ
fcis-13847	177	37	to	to	ADP
fcis-13847	177	38	fog	fog	NOUN
fcis-13847	177	39	interference	interference	NOUN
fcis-13847	177	40	,	,	PUNCT
fcis-13847	177	41	and	and	CCONJ
fcis-13847	177	42	to	to	PART
fcis-13847	177	43	increase	increase	VERB
fcis-13847	177	44	the	the	DET
fcis-13847	177	45	weight	weight	NOUN
fcis-13847	177	46	of	of	ADP
fcis-13847	177	47	high	high	ADJ
fcis-13847	177	48	-	-	PUNCT
fcis-13847	177	49	quality	quality	NOUN
fcis-13847	177	50	and	and	CCONJ
fcis-13847	177	51	ordinary	ordinary	ADJ
fcis-13847	177	52	quality	quality	NOUN
fcis-13847	177	53	samples	sample	NOUN
fcis-13847	177	54	.	.	PUNCT
fcis-13847	178	1	from	from	ADP
fcis-13847	178	2	the	the	DET
fcis-13847	178	3	test	test	NOUN
fcis-13847	178	4	set	set	VERB
fcis-13847	178	5	results	result	NOUN
fcis-13847	178	6	and	and	CCONJ
fcis-13847	178	7	coco2017	coco2017	PROPN
fcis-13847	178	8	data	datum	NOUN
fcis-13847	178	9	set	set	VERB
fcis-13847	178	10	test	test	NOUN
fcis-13847	178	11	results	result	NOUN
fcis-13847	178	12	,	,	PUNCT
fcis-13847	178	13	the	the	DET
fcis-13847	178	14	improved	improved	ADJ
fcis-13847	178	15	algorithm	algorithm	NOUN
fcis-13847	178	16	has	have	VERB
fcis-13847	178	17	higher	high	ADJ
fcis-13847	178	18	precision	precision	NOUN
fcis-13847	178	19	and	and	CCONJ
fcis-13847	178	20	better	well	ADJ
fcis-13847	178	21	robustness	robustness	NOUN
fcis-13847	178	22	than	than	ADP
fcis-13847	178	23	other	other	ADJ
fcis-13847	178	24	algorithms	algorithm	NOUN
fcis-13847	178	25	,	,	PUNCT
fcis-13847	178	26	and	and	CCONJ
fcis-13847	178	27	performs	perform	VERB
fcis-13847	178	28	better	well	ADV
fcis-13847	178	29	in	in	ADP
fcis-13847	178	30	the	the	DET
fcis-13847	178	31	target	target	NOUN
fcis-13847	178	32	detection	detection	NOUN
fcis-13847	178	33	task	task	NOUN
fcis-13847	178	34	of	of	ADP
fcis-13847	178	35	flight	flight	NOUN
fcis-13847	178	36	support	support	NOUN
fcis-13847	178	37	nodes	node	NOUN
fcis-13847	178	38	in	in	ADP
fcis-13847	178	39	foggy	foggy	ADJ
fcis-13847	178	40	days	day	NOUN
fcis-13847	178	41	.	.	PUNCT
fcis-13847	179	1	however	however	ADV
fcis-13847	179	2	,	,	PUNCT
fcis-13847	179	3	the	the	DET
fcis-13847	179	4	current	current	ADJ
fcis-13847	179	5	algorithm	algorithm	NOUN
fcis-13847	179	6	still	still	ADV
fcis-13847	179	7	has	have	VERB
fcis-13847	179	8	shortcomings	shortcoming	NOUN
fcis-13847	179	9	,	,	PUNCT
fcis-13847	179	10	such	such	ADJ
fcis-13847	179	11	as	as	ADP
fcis-13847	179	12	the	the	DET
fcis-13847	179	13	large	large	ADJ
fcis-13847	179	14	number	number	NOUN
fcis-13847	179	15	of	of	ADP
fcis-13847	179	16	parameters	parameter	NOUN
fcis-13847	179	17	in	in	ADP
fcis-13847	179	18	the	the	DET
fcis-13847	179	19	entire	entire	ADJ
fcis-13847	179	20	model	model	NOUN
fcis-13847	179	21	,	,	PUNCT
fcis-13847	179	22	which	which	PRON
fcis-13847	179	23	will	will	AUX
fcis-13847	179	24	be	be	AUX
fcis-13847	179	25	targeted	target	VERB
fcis-13847	179	26	and	and	CCONJ
fcis-13847	179	27	lightweight	lightweight	ADJ
fcis-13847	179	28	for	for	ADP
fcis-13847	179	29	subsequent	subsequent	ADJ
fcis-13847	179	30	deployment	deployment	NOUN
fcis-13847	179	31	.	.	PUNCT
fcis-13847	180	1	references	reference	NOUN
fcis-13847	180	2	[	[	X
fcis-13847	180	3	1	1	X
fcis-13847	180	4	]	]	X
fcis-13847	180	5	ge	ge	PROPN
fcis-13847	180	6	z	z	PROPN
fcis-13847	180	7	,	,	PUNCT
fcis-13847	180	8	liu	liu	PROPN
fcis-13847	180	9	s	s	PROPN
fcis-13847	180	10	,	,	PUNCT
fcis-13847	180	11	wang	wang	PROPN
fcis-13847	180	12	f	f	PROPN
fcis-13847	180	13	,	,	PUNCT
fcis-13847	180	14	et	et	PROPN
fcis-13847	180	15	al.yolox	al.yolox	NOUN
fcis-13847	180	16	:	:	PUNCT
fcis-13847	180	17	exceeding	exceed	VERB
fcis-13847	180	18	yolo	yolo	ADJ
fcis-13847	180	19	series	series	NOUN
fcis-13847	180	20	in	in	ADP
fcis-13847	180	21	2021[j	2021[j	NUM
fcis-13847	180	22	]	]	PUNCT
fcis-13847	180	23	.	.	PUNCT
fcis-13847	181	1	2021.doi:10.48550	2021.doi:10.48550	NUM
fcis-13847	181	2	/	/	SYM
fcis-13847	181	3	arxiv.2107.08430	arxiv.2107.08430	ADJ
fcis-13847	181	4	.	.	PUNCT
fcis-13847	182	1	[	[	X
fcis-13847	182	2	2	2	X
fcis-13847	182	3	]	]	PUNCT
fcis-13847	182	4	wang	wang	PROPN
fcis-13847	182	5	c	c	PROPN
fcis-13847	182	6	y	y	PROPN
fcis-13847	182	7	,	,	PUNCT
fcis-13847	182	8	bochkovskiy	bochkovskiy	VERB
fcis-13847	182	9	a	a	PRON
fcis-13847	182	10	,	,	PUNCT
fcis-13847	182	11	liao	liao	PROPN
fcis-13847	182	12	h	h	PROPN
fcis-13847	183	1	y	y	PROPN
fcis-13847	183	2	m	m	PROPN
fcis-13847	183	3	.yolov7	.yolov7	NOUN
fcis-13847	183	4	:	:	PUNCT
fcis-13847	183	5	trainable	trainable	ADJ
fcis-13847	183	6	bag	bag	NOUN
fcis-13847	183	7	-	-	PUNCT
fcis-13847	183	8	of	of	ADP
fcis-13847	183	9	-	-	PUNCT
fcis-13847	183	10	freebies	freebie	NOUN
fcis-13847	183	11	sets	set	VERB
fcis-13847	183	12	new	new	ADJ
fcis-13847	183	13	state	state	NOUN
fcis-13847	183	14	-	-	PUNCT
fcis-13847	183	15	of	of	ADP
fcis-13847	183	16	-	-	PUNCT
fcis-13847	183	17	the	the	DET
fcis-13847	183	18	-	-	PUNCT
fcis-13847	183	19	art	art	NOUN
fcis-13847	183	20	for	for	ADP
fcis-13847	183	21	real	real	ADJ
fcis-13847	183	22	-	-	PUNCT
fcis-13847	183	23	time	time	NOUN
fcis-13847	183	24	object	object	NOUN
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fcis-13847	183	26	e	e	NOUN
fcis-13847	183	27	-	-	NOUN
fcis-13847	183	28	prints	print	NOUN
fcis-13847	183	29	,	,	PUNCT
fcis-13847	183	30	2022.doi	2022.doi	NUM
fcis-13847	183	31	:	:	PUNCT
fcis-13847	183	32	10.48550/	10.48550/	NUM
fcis-13847	183	33	arxiv	arxiv	NOUN
fcis-13847	183	34	.	.	PUNCT
fcis-13847	184	1	2207	2207	NUM
fcis-13847	184	2	.	.	PUNCT
fcis-13847	185	1	02696	02696	NUM
fcis-13847	185	2	.	.	PUNCT
fcis-13847	186	1	[	[	X
fcis-13847	186	2	3	3	X
fcis-13847	186	3	]	]	X
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fcis-13847	186	5	s	s	PROPN
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fcis-13847	186	7	he	he	PRON
fcis-13847	186	8	k	k	NOUN
fcis-13847	186	9	,	,	PUNCT
fcis-13847	186	10	girshick	girshick	ADJ
fcis-13847	186	11	r	r	NOUN
fcis-13847	186	12	,	,	PUNCT
fcis-13847	186	13	et	et	PROPN
fcis-13847	186	14	al	al	PROPN
fcis-13847	186	15	.	.	PUNCT
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fcis-13847	187	2	r	r	NOUN
fcis-13847	187	3	-	-	PUNCT
fcis-13847	187	4	cnn	cnn	NOUN
fcis-13847	187	5	:	:	PUNCT
fcis-13847	187	6	towards	towards	ADP
fcis-13847	187	7	realtime	realtime	ADJ
fcis-13847	187	8	object	object	NOUN
fcis-13847	187	9	detection	detection	NOUN
fcis-13847	187	10	with	with	ADP
fcis-13847	187	11	region	region	NOUN
fcis-13847	187	12	proposal	proposal	NOUN
fcis-13847	187	13	networks[j	networks[j	PROPN
fcis-13847	187	14	]	]	X
fcis-13847	187	15	.	.	PUNCT
fcis-13847	188	1	advances	advance	NOUN
fcis-13847	188	2	in	in	ADP
fcis-13847	188	3	neural	neural	ADJ
fcis-13847	188	4	information	information	NOUN
fcis-13847	188	5	processing	processing	NOUN
fcis-13847	188	6	systems	system	NOUN
fcis-13847	188	7	,	,	PUNCT
fcis-13847	188	8	2015	2015	NUM
fcis-13847	188	9	,	,	PUNCT
fcis-13847	188	10	28	28	NUM
fcis-13847	188	11	.	.	PUNCT
fcis-13847	189	1	[	[	X
fcis-13847	189	2	4	4	X
fcis-13847	189	3	]	]	X
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fcis-13847	189	5	g	g	PROPN
fcis-13847	189	6	w	w	PROPN
fcis-13847	189	7	,	,	PUNCT
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fcis-13847	189	9	w	w	PROPN
fcis-13847	189	10	,	,	PUNCT
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fcis-13847	189	12	b	b	PROPN
fcis-13847	189	13	h	h	PROPN
fcis-13847	189	14	,	,	PUNCT
fcis-13847	189	15	et	et	PROPN
fcis-13847	189	16	al	al	PROPN
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fcis-13847	189	19	ssd	ssd	NOUN
fcis-13847	189	20	-	-	PUNCT
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fcis-13847	189	22	multi	multi	ADJ
fcis-13847	189	23	-	-	ADJ
fcis-13847	189	24	scale	scale	ADJ
fcis-13847	189	25	object	object	NOUN
fcis-13847	189	26	detection	detection	NOUN
fcis-13847	189	27	algorithm	algorithm	NOUN
fcis-13847	189	28	in	in	ADP
fcis-13847	189	29	airport	airport	NOUN
fcis-13847	189	30	surface[j	surface[j	NOUN
fcis-13847	189	31	]	]	PUNCT
fcis-13847	189	32	.	.	PUNCT
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fcis-13847	190	2	engineering	engineering	NOUN
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fcis-13847	190	5	,	,	PUNCT
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fcis-13847	190	7	-	-	SYM
fcis-13847	190	8	270	270	NUM
fcis-13847	190	9	.	.	PUNCT
fcis-13847	191	1	[	[	X
fcis-13847	191	2	5	5	X
fcis-13847	191	3	]	]	PUNCT
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fcis-13847	191	5	y	y	PROPN
fcis-13847	191	6	,	,	PUNCT
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fcis-13847	191	8	g	g	PROPN
fcis-13847	191	9	w	w	PROPN
fcis-13847	191	10	,	,	PUNCT
fcis-13847	191	11	qu	qu	PROPN
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fcis-13847	191	13	,	,	PUNCT
fcis-13847	191	14	et	et	PROPN
fcis-13847	191	15	al	al	PROPN
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fcis-13847	191	19	method	method	NOUN
fcis-13847	191	20	of	of	ADP
fcis-13847	191	21	airport	airport	NOUN
fcis-13847	191	22	apron	apron	NOUN
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fcis-13847	191	32	science	science	NOUN
fcis-13847	191	33	edition	edition	NOUN
fcis-13847	191	34	)	)	PUNCT
fcis-13847	191	35	,	,	PUNCT
fcis-13847	191	36	2022,54	2022,54	NUM
fcis-13847	191	37	(	(	PUNCT
fcis-13847	191	38	05	05	NUM
fcis-13847	191	39	):	):	PUNCT
fcis-13847	191	40	22	22	NUM
fcis-13847	191	41	-	-	PUNCT
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fcis-13847	191	45	-	-	PUNCT
fcis-13847	191	46	6841.2021287	6841.2021287	NOUN
fcis-13847	191	47	.	.	PUNCT
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fcis-13847	192	2	6	6	NUM
fcis-13847	192	3	]	]	PUNCT
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fcis-13847	192	9	r	r	PROPN
fcis-13847	192	10	x	x	PROPN
fcis-13847	192	11	,	,	PUNCT
fcis-13847	192	12	tu	tu	PROPN
fcis-13847	192	13	j	j	PROPN
fcis-13847	192	14	,	,	PUNCT
fcis-13847	192	15	et	et	PROPN
fcis-13847	192	16	al	al	PROPN
fcis-13847	192	17	.	.	PUNCT
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fcis-13847	192	19	target	target	NOUN
fcis-13847	192	20	detection	detection	NOUN
fcis-13847	192	21	method	method	NOUN
fcis-13847	192	22	for	for	ADP
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fcis-13847	192	25	airport[j	airport[j	NOUN
fcis-13847	192	26	]	]	PUNCT
fcis-13847	192	27	.	.	PUNCT
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fcis-13847	193	2	technology	technology	NOUN
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fcis-13847	193	4	engineering	engineering	NOUN
fcis-13847	193	5	,	,	PUNCT
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fcis-13847	193	7	-	-	SYM
fcis-13847	193	8	13119	13119	NUM
fcis-13847	193	9	.	.	PUNCT
fcis-13847	194	1	[	[	X
fcis-13847	194	2	7	7	X
fcis-13847	194	3	]	]	X
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fcis-13847	194	29	]	]	PUNCT
fcis-13847	194	30	.	.	PUNCT
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fcis-13847	195	5	,	,	PUNCT
fcis-13847	195	6	,	,	PUNCT
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fcis-13847	195	8	-	-	SYM
fcis-13847	195	9	2884	2884	NUM
fcis-13847	195	10	.	.	PUNCT
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fcis-13847	196	2	8	8	NUM
fcis-13847	196	3	]	]	X
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fcis-13847	196	5	x	x	X
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fcis-13847	196	7	,	,	PUNCT
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fcis-13847	196	9	p	p	PROPN
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fcis-13847	197	4	uav	uav	PROPN
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fcis-13847	197	13	transfer[j	transfer[j	NOUN
fcis-13847	197	14	]	]	PUNCT
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fcis-13847	199	7	,	,	PUNCT
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fcis-13847	199	30	.	.	PUNCT
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fcis-13847	200	5	:	:	PUNCT
fcis-13847	200	6	1	1	NUM
fcis-13847	200	7	-	-	PUNCT
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fcis-13847	200	9	-	-	SYM
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fcis-13847	201	4	.	.	X
fcis-13847	202	1	16182/	16182/	NUM
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fcis-13847	202	5	-	-	PUNCT
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fcis-13847	203	2	10	10	NUM
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fcis-13847	203	6	,	,	PUNCT
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fcis-13847	203	8	x	x	PROPN
fcis-13847	203	9	,	,	PUNCT
fcis-13847	203	10	zheng	zheng	PROPN
fcis-13847	203	11	h	h	PROPN
fcis-13847	203	12	t	t	PROPN
fcis-13847	203	13	,	,	PUNCT
fcis-13847	203	14	et	et	PROPN
fcis-13847	203	15	al	al	PROPN
fcis-13847	203	16	.	.	PUNCT
fcis-13847	203	17	shufflenet	shufflenet	PROPN
fcis-13847	203	18	v2	v2	PROPN
fcis-13847	203	19	:	:	PUNCT
fcis-13847	203	20	practical	practical	ADJ
fcis-13847	203	21	guidelines	guideline	NOUN
fcis-13847	203	22	for	for	ADP
fcis-13847	203	23	efficient	efficient	ADJ
fcis-13847	203	24	cnn	cnn	PROPN
fcis-13847	203	25	architecture	architecture	NOUN
fcis-13847	203	26	design[c]//	design[c]//	ADJ
fcis-13847	203	27	proceedings	proceeding	NOUN
fcis-13847	203	28	of	of	ADP
fcis-13847	203	29	the	the	DET
fcis-13847	203	30	european	european	PROPN
fcis-13847	203	31	conference	conference	PROPN
fcis-13847	203	32	on	on	ADP
fcis-13847	203	33	computer	computer	NOUN
fcis-13847	203	34	vision	vision	NOUN
fcis-13847	203	35	(	(	PUNCT
fcis-13847	203	36	eccv	eccv	ADV
fcis-13847	203	37	)	)	PUNCT
fcis-13847	203	38	.	.	PUNCT
fcis-13847	204	1	2018	2018	NUM
fcis-13847	204	2	:	:	PUNCT
fcis-13847	204	3	116	116	NUM
fcis-13847	204	4	-	-	SYM
fcis-13847	204	5	131	131	NUM
fcis-13847	204	6	.	.	PUNCT
fcis-13847	205	1	[	[	X
fcis-13847	205	2	11	11	NUM
fcis-13847	205	3	]	]	X
fcis-13847	205	4	kupyn	kupyn	NOUN
fcis-13847	205	5	o	o	PROPN
fcis-13847	205	6	,	,	PUNCT
fcis-13847	205	7	martyniuk	martyniuk	PROPN
fcis-13847	205	8	t	t	PROPN
fcis-13847	205	9	,	,	PUNCT
fcis-13847	205	10	wu	wu	PROPN
fcis-13847	205	11	j	j	PROPN
fcis-13847	205	12	,	,	PUNCT
fcis-13847	205	13	et	et	PROPN
fcis-13847	205	14	al	al	PROPN
fcis-13847	205	15	.	.	PROPN
fcis-13847	205	16	deblurgan	deblurgan	PROPN
fcis-13847	205	17	-	-	PUNCT
fcis-13847	205	18	v2	v2	NOUN
fcis-13847	205	19	:	:	PUNCT
fcis-13847	205	20	deblurring	deblurre	VERB
fcis-13847	205	21	(	(	PUNCT
fcis-13847	205	22	orders	order	NOUN
fcis-13847	205	23	-	-	PUNCT
fcis-13847	205	24	of	of	ADP
fcis-13847	205	25	-	-	PUNCT
fcis-13847	205	26	magnitude	magnitude	NOUN
fcis-13847	205	27	)	)	PUNCT
fcis-13847	205	28	faster	fast	ADV
fcis-13847	205	29	and	and	CCONJ
fcis-13847	205	30	better[c]//	better[c]//	PROPN
fcis-13847	205	31	proceedings	proceeding	NOUN
fcis-13847	205	32	of	of	ADP
fcis-13847	205	33	the	the	DET
fcis-13847	205	34	ieee	ieee	NOUN
fcis-13847	205	35	/	/	SYM
fcis-13847	205	36	cvf	cvf	NOUN
fcis-13847	205	37	international	international	ADJ
fcis-13847	205	38	conference	conference	NOUN
fcis-13847	205	39	on	on	ADP
fcis-13847	205	40	computer	computer	NOUN
fcis-13847	205	41	vision	vision	NOUN
fcis-13847	205	42	.	.	PUNCT
fcis-13847	206	1	2019	2019	NUM
fcis-13847	206	2	:	:	PUNCT
fcis-13847	206	3	8878	8878	NUM
fcis-13847	206	4	-	-	SYM
fcis-13847	206	5	8887	8887	NUM
fcis-13847	206	6	.	.	PUNCT
fcis-13847	207	1	[	[	X
fcis-13847	207	2	12	12	NUM
fcis-13847	207	3	]	]	X
fcis-13847	207	4	yang	yang	PROPN
fcis-13847	207	5	k	k	PROPN
fcis-13847	207	6	z	z	PROPN
fcis-13847	207	7	,	,	PUNCT
fcis-13847	207	8	yan	yan	PROPN
fcis-13847	207	9	x	x	SYM
fcis-13847	207	10	n	n	CCONJ
fcis-13847	207	11	,	,	PUNCT
fcis-13847	207	12	sun	sun	PROPN
fcis-13847	207	13	j	j	PROPN
fcis-13847	207	14	,	,	PUNCT
fcis-13847	207	15	et	et	PROPN
fcis-13847	207	16	al	al	PROPN
fcis-13847	207	17	.	.	PUNCT
fcis-13847	208	1	a	a	DET
fcis-13847	208	2	derf	derf	PROPN
fcis-13847	208	3	-	-	PUNCT
fcis-13847	208	4	yolov3	yolov3	PROPN
fcis-13847	208	5	-	-	PUNCT
fcis-13847	208	6	x	x	SYM
fcis-13847	208	7	object	object	NOUN
fcis-13847	208	8	detection	detection	NOUN
fcis-13847	208	9	method	method	NOUN
fcis-13847	208	10	for	for	ADP
fcis-13847	208	11	rainy	rainy	ADJ
fcis-13847	208	12	and	and	CCONJ
fcis-13847	208	13	foggy	foggy	ADJ
fcis-13847	208	14	background[j	background[j	NOUN
fcis-13847	208	15	]	]	PUNCT
fcis-13847	208	16	.	.	PUNCT
fcis-13847	209	1	chinese	chinese	ADJ
fcis-13847	209	2	journal	journal	PROPN
fcis-13847	209	3	of	of	ADP
fcis-13847	209	4	sensors	sensor	NOUN
fcis-13847	209	5	and	and	CCONJ
fcis-13847	209	6	actuators	actuator	NOUN
fcis-13847	209	7	,	,	PUNCT
fcis-13847	209	8	2022,35(09):12221229	2022,35(09):12221229	NUM
fcis-13847	209	9	.	.	PUNCT
fcis-13847	210	1	[	[	X
fcis-13847	210	2	13	13	NUM
fcis-13847	210	3	]	]	PUNCT
fcis-13847	210	4	chollet	chollet	PROPN
fcis-13847	210	5	f.	f.	PROPN
fcis-13847	210	6	xception	xception	PROPN
fcis-13847	210	7	:	:	PUNCT
fcis-13847	210	8	deep	deep	ADJ
fcis-13847	210	9	learning	learn	VERB
fcis-13847	210	10	with	with	ADP
fcis-13847	210	11	depthwise	depthwise	NOUN
fcis-13847	210	12	separable	separable	ADJ
fcis-13847	210	13	convolutions	convolution	NOUN
fcis-13847	210	14	[	[	X
fcis-13847	210	15	c]//proceedings	c]//proceeding	NOUN
fcis-13847	210	16	of	of	ADP
fcis-13847	210	17	the	the	DET
fcis-13847	210	18	ieee	ieee	NOUN
fcis-13847	210	19	conference	conference	NOUN
fcis-13847	210	20	on	on	ADP
fcis-13847	210	21	computer	computer	NOUN
fcis-13847	210	22	vision	vision	NOUN
fcis-13847	210	23	and	and	CCONJ
fcis-13847	210	24	pattern	pattern	NOUN
fcis-13847	210	25	recognition	recognition	NOUN
fcis-13847	210	26	.	.	PUNCT
fcis-13847	211	1	2017	2017	NUM
fcis-13847	211	2	:	:	PUNCT
fcis-13847	211	3	1251	1251	NUM
fcis-13847	211	4	-	-	SYM
fcis-13847	211	5	1258	1258	NUM
fcis-13847	211	6	.	.	PUNCT
fcis-13847	212	1	[	[	X
fcis-13847	212	2	14	14	NUM
fcis-13847	212	3	]	]	X
fcis-13847	212	4	liu	liu	PROPN
fcis-13847	212	5	x	x	PROPN
fcis-13847	212	6	,	,	PUNCT
fcis-13847	212	7	ma	ma	PROPN
fcis-13847	212	8	y	y	PROPN
fcis-13847	212	9	,	,	PUNCT
fcis-13847	212	10	shi	shi	PROPN
fcis-13847	212	11	z	z	PROPN
fcis-13847	212	12	,	,	PUNCT
fcis-13847	212	13	et	et	PROPN
fcis-13847	212	14	al	al	PROPN
fcis-13847	212	15	.	.	PUNCT
fcis-13847	212	16	griddehazenet	griddehazenet	PROPN
fcis-13847	212	17	:	:	PUNCT
fcis-13847	212	18	attention	attention	NOUN
fcis-13847	212	19	-	-	PUNCT
fcis-13847	212	20	based	base	VERB
fcis-13847	212	21	multi	multi	ADJ
fcis-13847	212	22	-	-	ADJ
fcis-13847	212	23	scale	scale	ADJ
fcis-13847	212	24	network	network	NOUN
fcis-13847	212	25	for	for	ADP
fcis-13847	212	26	image	image	NOUN
fcis-13847	212	27	dehazing[c]//proceedings	dehazing[c]//proceeding	NOUN
fcis-13847	212	28	of	of	ADP
fcis-13847	212	29	the	the	DET
fcis-13847	212	30	ieee	ieee	NOUN
fcis-13847	212	31	/	/	SYM
fcis-13847	212	32	cvf	cvf	NOUN
fcis-13847	212	33	international	international	ADJ
fcis-13847	212	34	conference	conference	NOUN
fcis-13847	212	35	on	on	ADP
fcis-13847	212	36	computer	computer	NOUN
fcis-13847	212	37	vision	vision	NOUN
fcis-13847	212	38	.	.	PUNCT
fcis-13847	213	1	2019	2019	NUM
fcis-13847	213	2	:	:	PUNCT
fcis-13847	213	3	7314	7314	NUM
fcis-13847	213	4	-	-	SYM
fcis-13847	213	5	7323	7323	NUM
fcis-13847	213	6	.	.	PUNCT
fcis-13847	214	1	[	[	X
fcis-13847	214	2	15	15	NUM
fcis-13847	214	3	]	]	X
fcis-13847	214	4	xie	xie	PROPN
fcis-13847	214	5	y	y	PROPN
fcis-13847	214	6	h	h	PROPN
fcis-13847	214	7	,	,	PUNCT
fcis-13847	214	8	xie	xie	PROPN
fcis-13847	214	9	y	y	PROPN
fcis-13847	214	10	,	,	PUNCT
fcis-13847	214	11	chen	chen	PROPN
fcis-13847	214	12	l	l	PROPN
fcis-13847	214	13	,	,	PUNCT
fcis-13847	214	14	et	et	PROPN
fcis-13847	214	15	al	al	PROPN
fcis-13847	214	16	.	.	PROPN
fcis-13847	214	17	object	object	PROPN
fcis-13847	214	18	detection	detection	NOUN
fcis-13847	214	19	in	in	ADP
fcis-13847	214	20	real	real	ADJ
fcis-13847	214	21	-	-	PUNCT
fcis-13847	214	22	world	world	NOUN
fcis-13847	214	23	hazy	hazy	ADJ
fcis-13847	214	24	scene[j	scene[j	NOUN
fcis-13847	214	25	]	]	PUNCT
fcis-13847	214	26	.	.	PUNCT
fcis-13847	215	1	journal	journal	PROPN
fcis-13847	215	2	of	of	ADP
fcis-13847	215	3	computer	computer	NOUN
fcis-13847	215	4	-	-	PUNCT
fcis-13847	215	5	aided	aid	VERB
fcis-13847	215	6	design	design	NOUN
fcis-13847	215	7	&	&	CCONJ
fcis-13847	215	8	computer	computer	NOUN
fcis-13847	215	9	graphics,2021,33(05):733	graphics,2021,33(05):733	PROPN
fcis-13847	215	10	-	-	PUNCT
fcis-13847	215	11	745	745	NUM
fcis-13847	215	12	.	.	PUNCT
fcis-13847	216	1	[	[	X
fcis-13847	216	2	16	16	NUM
fcis-13847	216	3	]	]	X
fcis-13847	216	4	lv	lv	PROPN
fcis-13847	216	5	z	z	PROPN
fcis-13847	216	6	l	l	PROPN
fcis-13847	216	7	,	,	PUNCT
fcis-13847	216	8	chen	chen	PROPN
fcis-13847	216	9	l	l	PROPN
fcis-13847	216	10	y.	y.	PROPN
fcis-13847	216	11	a	a	DET
fcis-13847	216	12	novel	novel	ADJ
fcis-13847	216	13	deep	deep	ADJ
fcis-13847	216	14	neural	neural	ADJ
fcis-13847	216	15	network	network	NOUN
fcis-13847	216	16	compression	compression	NOUN
fcis-13847	216	17	model	model	NOUN
fcis-13847	216	18	for	for	ADP
fcis-13847	216	19	airport	airport	NOUN
fcis-13847	216	20	object	object	NOUN
fcis-13847	216	21	detection[j	detection[j	PROPN
fcis-13847	216	22	]	]	PUNCT
fcis-13847	216	23	.	.	PUNCT
fcis-13847	217	1	transactions	transaction	NOUN
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fcis-13847	217	3	nanjing	nanjing	PROPN
fcis-13847	217	4	university	university	PROPN
fcis-13847	217	5	of	of	ADP
fcis-13847	217	6	aeronautics	aeronautics	PROPN
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fcis-13847	217	9	,	,	PUNCT
fcis-13847	217	10	2021,38	2021,38	NUM
fcis-13847	217	11	(	(	PUNCT
fcis-13847	217	12	04	04	NUM
fcis-13847	217	13	):	):	PUNCT
fcis-13847	217	14	571	571	NUM
fcis-13847	217	15	-	-	PUNCT
fcis-13847	217	16	586.doi:10.16356	586.doi:10.16356	NUM
fcis-13847	217	17	/	/	SYM
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fcis-13847	217	19	.	.	PUNCT
fcis-13847	218	1	[	[	X
fcis-13847	218	2	17	17	NUM
fcis-13847	218	3	]	]	X
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fcis-13847	218	5	c	c	PROPN
fcis-13847	218	6	c	c	PROPN
fcis-13847	218	7	,	,	PUNCT
fcis-13847	218	8	lin	lin	PROPN
fcis-13847	218	9	d	d	PROPN
fcis-13847	218	10	,	,	PUNCT
fcis-13847	218	11	wang	wang	PROPN
fcis-13847	218	12	j	j	PROPN
fcis-13847	218	13	,	,	PUNCT
fcis-13847	219	1	et	et	PROPN
fcis-13847	219	2	al	al	PROPN
fcis-13847	219	3	.	.	PUNCT
fcis-13847	219	4	carafe	carafe	PROPN
fcis-13847	219	5	:	:	PUNCT
fcis-13847	219	6	content	content	NOUN
fcis-13847	219	7	-	-	PUNCT
fcis-13847	219	8	aware	aware	ADJ
fcis-13847	219	9	reassembly	reassembly	ADV
fcis-13847	219	10	of	of	ADP
fcis-13847	219	11	features.2019[2023	features.2019[2023	PROPN
fcis-13847	219	12	-	-	PUNCT
fcis-13847	219	13	08	08	NUM
fcis-13847	219	14	-	-	SYM
fcis-13847	219	15	07	07	NUM
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fcis-13847	219	17	.	.	PUNCT
fcis-13847	220	1	[	[	X
fcis-13847	220	2	18	18	NUM
fcis-13847	220	3	]	]	X
fcis-13847	220	4	yang	yang	PROPN
fcis-13847	220	5	l	l	PROPN
fcis-13847	220	6	,	,	PUNCT
fcis-13847	220	7	zhang	zhang	PROPN
fcis-13847	220	8	r	r	PROPN
fcis-13847	220	9	y	y	PROPN
fcis-13847	220	10	,	,	PUNCT
fcis-13847	220	11	li	li	PROPN
fcis-13847	220	12	l	l	PROPN
fcis-13847	220	13	,	,	PUNCT
fcis-13847	220	14	et	et	PROPN
fcis-13847	220	15	al	al	PROPN
fcis-13847	220	16	.	.	PUNCT
fcis-13847	220	17	simam	simam	PROPN
fcis-13847	220	18	:	:	PUNCT
fcis-13847	220	19	a	a	DET
fcis-13847	220	20	simple	simple	ADJ
fcis-13847	220	21	,	,	PUNCT
fcis-13847	220	22	parameter	parameter	NOUN
fcis-13847	220	23	-	-	PUNCT
fcis-13847	220	24	free	free	ADJ
fcis-13847	220	25	attention	attention	NOUN
fcis-13847	220	26	module	module	NOUN
fcis-13847	220	27	for	for	ADP
fcis-13847	220	28	convolutional	convolutional	ADJ
fcis-13847	220	29	neural	neural	ADJ
fcis-13847	220	30	networks	network	NOUN
fcis-13847	220	31	[	[	X
fcis-13847	220	32	c]//international	c]//international	ADJ
fcis-13847	220	33	conference	conference	NOUN
fcis-13847	220	34	on	on	ADP
fcis-13847	220	35	machine	machine	NOUN
fcis-13847	220	36	learning	learning	NOUN
fcis-13847	220	37	.	.	PUNCT
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fcis-13847	221	2	,	,	PUNCT
fcis-13847	221	3	2021	2021	NUM
fcis-13847	221	4	:	:	PUNCT
fcis-13847	221	5	11863	11863	NUM
fcis-13847	221	6	-	-	SYM
fcis-13847	221	7	11874	11874	NUM
fcis-13847	221	8	.	.	PUNCT
fcis-13847	222	1	[	[	X
fcis-13847	222	2	19	19	NUM
fcis-13847	222	3	]	]	X
fcis-13847	222	4	zheng	zheng	PROPN
fcis-13847	222	5	z	z	PROPN
fcis-13847	222	6	,	,	PUNCT
fcis-13847	222	7	wang	wang	PROPN
fcis-13847	222	8	p	p	PROPN
fcis-13847	222	9	,	,	PUNCT
fcis-13847	222	10	liu	liu	PROPN
fcis-13847	222	11	w	w	PROPN
fcis-13847	222	12	,	,	PUNCT
fcis-13847	222	13	et	et	PROPN
fcis-13847	222	14	al	al	PROPN
fcis-13847	222	15	.	.	PROPN
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fcis-13847	222	17	-	-	PUNCT
fcis-13847	222	18	iou	iou	NOUN
fcis-13847	222	19	loss	loss	NOUN
fcis-13847	222	20	:	:	PUNCT
fcis-13847	222	21	faster	fast	ADJ
fcis-13847	222	22	and	and	CCONJ
fcis-13847	222	23	better	well	ADV
fcis-13847	222	24	learning	learn	VERB
fcis-13847	222	25	for	for	ADP
fcis-13847	222	26	bounding	bound	VERB
fcis-13847	222	27	box	box	NOUN
fcis-13847	222	28	regression	regression	NOUN
fcis-13847	222	29	[	[	X
fcis-13847	222	30	c]//	c]//	ADJ
fcis-13847	222	31	proceedings	proceeding	NOUN
fcis-13847	222	32	of	of	ADP
fcis-13847	222	33	the	the	DET
fcis-13847	222	34	aaai	aaai	PROPN
fcis-13847	222	35	conference	conference	NOUN
fcis-13847	222	36	on	on	ADP
fcis-13847	222	37	artificial	artificial	ADJ
fcis-13847	222	38	intelligence	intelligence	NOUN
fcis-13847	222	39	.	.	PUNCT
fcis-13847	223	1	2020	2020	NUM
fcis-13847	223	2	,	,	PUNCT
fcis-13847	223	3	34(07	34(07	NUM
fcis-13847	223	4	):	):	PUNCT
fcis-13847	223	5	12993	12993	NUM
fcis-13847	223	6	-	-	SYM
fcis-13847	223	7	13000	13000	NUM
fcis-13847	223	8	.	.	PUNCT
fcis-13847	224	1	[	[	X
fcis-13847	224	2	20	20	NUM
fcis-13847	224	3	]	]	PUNCT
fcis-13847	224	4	tong	tong	PROPN
fcis-13847	224	5	z	z	PROPN
fcis-13847	224	6	,	,	PUNCT
fcis-13847	224	7	chen	chen	PROPN
fcis-13847	224	8	y	y	PROPN
fcis-13847	224	9	,	,	PUNCT
fcis-13847	224	10	xu	xu	PROPN
fcis-13847	225	1	z	z	X
fcis-13847	225	2	,	,	PUNCT
fcis-13847	225	3	et	et	PROPN
fcis-13847	225	4	al	al	PROPN
fcis-13847	225	5	.	.	PUNCT
fcis-13847	226	1	wise	wise	ADJ
fcis-13847	226	2	-	-	PUNCT
fcis-13847	226	3	iou	iou	NOUN
fcis-13847	226	4	:	:	PUNCT
fcis-13847	226	5	bounding	bound	VERB
fcis-13847	226	6	box	box	NOUN
fcis-13847	226	7	regression	regression	NOUN
fcis-13847	226	8	loss	loss	NOUN
fcis-13847	226	9	with	with	ADP
fcis-13847	226	10	dynamic	dynamic	ADJ
fcis-13847	226	11	focusing	focus	VERB
fcis-13847	226	12	mechanism[j	mechanism[j	PROPN
fcis-13847	226	13	]	]	PUNCT
fcis-13847	226	14	.	.	PUNCT
fcis-13847	227	1	arxiv	arxiv	PROPN
fcis-13847	227	2	preprint	preprint	PROPN
fcis-13847	227	3	arxiv:2301.10051	arxiv:2301.10051	PROPN
fcis-13847	227	4	,	,	PUNCT
fcis-13847	227	5	2023	2023	NUM
fcis-13847	227	6	.	.	PUNCT