id	sid	tid	token	lemma	pos
fcis-30581	1	1	frontiers	frontier	NOUN
fcis-30581	1	2	in	in	ADP
fcis-30581	1	3	computing	computing	NOUN
fcis-30581	1	4	and	and	CCONJ
fcis-30581	1	5	intelligent	intelligent	ADJ
fcis-30581	1	6	systems	system	NOUN
fcis-30581	1	7	issn	issn	VERB
fcis-30581	1	8	:	:	PUNCT
fcis-30581	1	9	2832	2832	NUM
fcis-30581	1	10	-	-	SYM
fcis-30581	1	11	6024	6024	NUM
fcis-30581	1	12	|	|	NOUN
fcis-30581	1	13	vol	vol	NOUN
fcis-30581	1	14	.	.	PROPN
fcis-30581	2	1	12	12	NUM
fcis-30581	2	2	,	,	PUNCT
fcis-30581	2	3	no	no	INTJ
fcis-30581	2	4	.	.	NOUN
fcis-30581	2	5	1	1	NUM
fcis-30581	2	6	,	,	PUNCT
fcis-30581	2	7	2025	2025	NUM
fcis-30581	2	8	89	89	NUM
fcis-30581	2	9	multimodal	multimodal	NOUN
fcis-30581	2	10	road	road	NOUN
fcis-30581	2	11	traffic	traffic	NOUN
fcis-30581	2	12	detection	detection	NOUN
fcis-30581	2	13	algorithm	algorithm	NOUN
fcis-30581	2	14	based	base	VERB
fcis-30581	2	15	on	on	ADP
fcis-30581	2	16	improved	improved	ADJ
fcis-30581	2	17	yolov8	yolov8	NOUN
fcis-30581	2	18	xuanning	xuanning	PROPN
fcis-30581	2	19	wei	wei	PROPN
fcis-30581	2	20	,	,	PUNCT
fcis-30581	2	21	jianhan	jianhan	PROPN
fcis-30581	2	22	zhou	zhou	PROPN
fcis-30581	3	1	*	*	PUNCT
fcis-30581	3	2	school	school	NOUN
fcis-30581	3	3	of	of	ADP
fcis-30581	3	4	computer	computer	NOUN
fcis-30581	3	5	science	science	NOUN
fcis-30581	3	6	and	and	CCONJ
fcis-30581	3	7	software	software	NOUN
fcis-30581	3	8	engineering	engineering	NOUN
fcis-30581	3	9	,	,	PUNCT
fcis-30581	3	10	university	university	NOUN
fcis-30581	3	11	of	of	ADP
fcis-30581	3	12	science	science	NOUN
fcis-30581	3	13	and	and	CCONJ
fcis-30581	3	14	technology	technology	NOUN
fcis-30581	3	15	liaoning	liaoning	NOUN
fcis-30581	3	16	,	,	PUNCT
fcis-30581	3	17	anshan	anshan	PROPN
fcis-30581	3	18	,	,	PUNCT
fcis-30581	3	19	liaoning	liaoning	NOUN
fcis-30581	3	20	,	,	PUNCT
fcis-30581	3	21	114000	114000	NUM
fcis-30581	3	22	,	,	PUNCT
fcis-30581	3	23	china	china	PROPN
fcis-30581	3	24	*	*	PUNCT
fcis-30581	3	25	corresponding	correspond	VERB
fcis-30581	3	26	author	author	NOUN
fcis-30581	3	27	:	:	PUNCT
fcis-30581	3	28	jianhan	jianhan	PROPN
fcis-30581	3	29	zhou	zhou	PROPN
fcis-30581	3	30	(	(	PUNCT
fcis-30581	3	31	email	email	NOUN
fcis-30581	3	32	:	:	PUNCT
fcis-30581	3	33	zjhzjhan@163.com	zjhzjhan@163.com	X
fcis-30581	3	34	)	)	PUNCT
fcis-30581	3	35	abstract	abstract	NOUN
fcis-30581	3	36	:	:	PUNCT
fcis-30581	3	37	in	in	ADP
fcis-30581	3	38	road	road	NOUN
fcis-30581	3	39	traffic	traffic	NOUN
fcis-30581	3	40	detection	detection	NOUN
fcis-30581	3	41	,	,	PUNCT
fcis-30581	3	42	traditional	traditional	ADJ
fcis-30581	3	43	unimodal	unimodal	ADJ
fcis-30581	3	44	object	object	NOUN
fcis-30581	3	45	detection	detection	NOUN
fcis-30581	3	46	methods	method	NOUN
fcis-30581	3	47	exhibit	exhibit	VERB
fcis-30581	3	48	certain	certain	ADJ
fcis-30581	3	49	limitations	limitation	NOUN
fcis-30581	3	50	in	in	ADP
fcis-30581	3	51	adapting	adapt	VERB
fcis-30581	3	52	to	to	ADP
fcis-30581	3	53	environmental	environmental	ADJ
fcis-30581	3	54	variations	variation	NOUN
fcis-30581	3	55	.	.	PUNCT
fcis-30581	4	1	moreover	moreover	ADV
fcis-30581	4	2	,	,	PUNCT
fcis-30581	4	3	in	in	ADP
fcis-30581	4	4	complex	complex	ADJ
fcis-30581	4	5	road	road	NOUN
fcis-30581	4	6	conditions	condition	NOUN
fcis-30581	4	7	,	,	PUNCT
fcis-30581	4	8	mutual	mutual	ADJ
fcis-30581	4	9	occlusion	occlusion	NOUN
fcis-30581	4	10	between	between	ADP
fcis-30581	4	11	targets	target	NOUN
fcis-30581	4	12	and	and	CCONJ
fcis-30581	4	13	their	their	PRON
fcis-30581	4	14	confusion	confusion	NOUN
fcis-30581	4	15	with	with	ADP
fcis-30581	4	16	the	the	DET
fcis-30581	4	17	background	background	NOUN
fcis-30581	4	18	pose	pose	VERB
fcis-30581	4	19	significant	significant	ADJ
fcis-30581	4	20	challenges	challenge	NOUN
fcis-30581	4	21	in	in	ADP
fcis-30581	4	22	feature	feature	NOUN
fcis-30581	4	23	extraction	extraction	NOUN
fcis-30581	4	24	for	for	ADP
fcis-30581	4	25	multi	multi	ADJ
fcis-30581	4	26	-	-	ADJ
fcis-30581	4	27	scale	scale	ADJ
fcis-30581	4	28	objects	object	NOUN
fcis-30581	4	29	and	and	CCONJ
fcis-30581	4	30	the	the	DET
fcis-30581	4	31	detection	detection	NOUN
fcis-30581	4	32	of	of	ADP
fcis-30581	4	33	densely	densely	ADV
fcis-30581	4	34	distributed	distribute	VERB
fcis-30581	4	35	small	small	ADJ
fcis-30581	4	36	targets	target	NOUN
fcis-30581	4	37	.	.	PUNCT
fcis-30581	5	1	to	to	PART
fcis-30581	5	2	address	address	VERB
fcis-30581	5	3	these	these	DET
fcis-30581	5	4	challenges	challenge	NOUN
fcis-30581	5	5	,	,	PUNCT
fcis-30581	5	6	this	this	DET
fcis-30581	5	7	paper	paper	NOUN
fcis-30581	5	8	proposes	propose	VERB
fcis-30581	5	9	a	a	DET
fcis-30581	5	10	multi	multi	ADJ
fcis-30581	5	11	-	-	ADJ
fcis-30581	5	12	modal	modal	ADJ
fcis-30581	5	13	object	object	NOUN
fcis-30581	5	14	detection	detection	NOUN
fcis-30581	5	15	algorithm	algorithm	NOUN
fcis-30581	5	16	,	,	PUNCT
fcis-30581	5	17	cd	cd	PROPN
fcis-30581	5	18	-	-	PUNCT
fcis-30581	5	19	mmnet	mmnet	NOUN
fcis-30581	5	20	,	,	PUNCT
fcis-30581	5	21	based	base	VERB
fcis-30581	5	22	on	on	ADP
fcis-30581	5	23	yolov8	yolov8	PROPN
fcis-30581	5	24	.	.	PUNCT
fcis-30581	6	1	firstly	firstly	ADV
fcis-30581	6	2	,	,	PUNCT
fcis-30581	6	3	the	the	DET
fcis-30581	6	4	backbone	backbone	NOUN
fcis-30581	6	5	network	network	NOUN
fcis-30581	6	6	adopts	adopt	VERB
fcis-30581	6	7	a	a	DET
fcis-30581	6	8	dual	dual	ADJ
fcis-30581	6	9	-	-	PUNCT
fcis-30581	6	10	branch	branch	NOUN
fcis-30581	6	11	structure	structure	NOUN
fcis-30581	6	12	to	to	PART
fcis-30581	6	13	perform	perform	VERB
fcis-30581	6	14	intermediate	intermediate	ADJ
fcis-30581	6	15	fusion	fusion	NOUN
fcis-30581	6	16	of	of	ADP
fcis-30581	6	17	features	feature	NOUN
fcis-30581	6	18	from	from	ADP
fcis-30581	6	19	two	two	NUM
fcis-30581	6	20	modalities	modality	NOUN
fcis-30581	6	21	—	—	PUNCT
fcis-30581	6	22	visible	visible	ADJ
fcis-30581	6	23	light	light	NOUN
fcis-30581	6	24	and	and	CCONJ
fcis-30581	6	25	infrared	infrared	ADJ
fcis-30581	6	26	images	image	NOUN
fcis-30581	6	27	—	—	PUNCT
fcis-30581	6	28	thereby	thereby	ADV
fcis-30581	6	29	leveraging	leverage	VERB
fcis-30581	6	30	their	their	PRON
fcis-30581	6	31	complementary	complementary	ADJ
fcis-30581	6	32	characteristics	characteristic	NOUN
fcis-30581	6	33	to	to	PART
fcis-30581	6	34	dynamically	dynamically	ADV
fcis-30581	6	35	select	select	VERB
fcis-30581	6	36	optimal	optimal	ADJ
fcis-30581	6	37	feature	feature	NOUN
fcis-30581	6	38	extraction	extraction	NOUN
fcis-30581	6	39	in	in	ADP
fcis-30581	6	40	a	a	DET
fcis-30581	6	41	targeted	target	VERB
fcis-30581	6	42	manner	manner	NOUN
fcis-30581	6	43	.	.	PUNCT
fcis-30581	7	1	secondly	secondly	ADV
fcis-30581	7	2	,	,	PUNCT
fcis-30581	7	3	the	the	DET
fcis-30581	7	4	cbam	cbam	NOUN
fcis-30581	7	5	attention	attention	NOUN
fcis-30581	7	6	mechanism	mechanism	NOUN
fcis-30581	7	7	is	be	AUX
fcis-30581	7	8	introduced	introduce	VERB
fcis-30581	7	9	to	to	PART
fcis-30581	7	10	dynamically	dynamically	ADV
fcis-30581	7	11	adjust	adjust	VERB
fcis-30581	7	12	the	the	DET
fcis-30581	7	13	importance	importance	NOUN
fcis-30581	7	14	of	of	ADP
fcis-30581	7	15	each	each	DET
fcis-30581	7	16	channel	channel	NOUN
fcis-30581	7	17	and	and	CCONJ
fcis-30581	7	18	spatial	spatial	ADJ
fcis-30581	7	19	position	position	NOUN
fcis-30581	7	20	in	in	ADP
fcis-30581	7	21	the	the	DET
fcis-30581	7	22	feature	feature	NOUN
fcis-30581	7	23	maps	map	NOUN
fcis-30581	7	24	,	,	PUNCT
fcis-30581	7	25	enhancing	enhance	VERB
fcis-30581	7	26	key	key	ADJ
fcis-30581	7	27	regional	regional	ADJ
fcis-30581	7	28	features	feature	NOUN
fcis-30581	7	29	while	while	SCONJ
fcis-30581	7	30	suppressing	suppress	VERB
fcis-30581	7	31	background	background	NOUN
fcis-30581	7	32	noise	noise	NOUN
fcis-30581	7	33	,	,	PUNCT
fcis-30581	7	34	thus	thus	ADV
fcis-30581	7	35	improving	improve	VERB
fcis-30581	7	36	the	the	DET
fcis-30581	7	37	model	model	NOUN
fcis-30581	7	38	's	's	PART
fcis-30581	7	39	feature	feature	NOUN
fcis-30581	7	40	extraction	extraction	NOUN
fcis-30581	7	41	capability	capability	NOUN
fcis-30581	7	42	.	.	PUNCT
fcis-30581	8	1	finally	finally	ADV
fcis-30581	8	2	,	,	PUNCT
fcis-30581	8	3	the	the	DET
fcis-30581	8	4	dbb	dbb	PROPN
fcis-30581	8	5	module	module	NOUN
fcis-30581	8	6	is	be	AUX
fcis-30581	8	7	incorporated	incorporate	VERB
fcis-30581	8	8	,	,	PUNCT
fcis-30581	8	9	utilising	utilise	VERB
fcis-30581	8	10	a	a	DET
fcis-30581	8	11	diversified	diversified	ADJ
fcis-30581	8	12	branch	branch	NOUN
fcis-30581	8	13	network	network	NOUN
fcis-30581	8	14	to	to	PART
fcis-30581	8	15	enhance	enhance	VERB
fcis-30581	8	16	the	the	DET
fcis-30581	8	17	model	model	NOUN
fcis-30581	8	18	's	's	PART
fcis-30581	8	19	adaptability	adaptability	NOUN
fcis-30581	8	20	to	to	ADP
fcis-30581	8	21	feature	feature	NOUN
fcis-30581	8	22	maps	map	NOUN
fcis-30581	8	23	of	of	ADP
fcis-30581	8	24	varying	vary	VERB
fcis-30581	8	25	scales	scale	NOUN
fcis-30581	8	26	.	.	PUNCT
fcis-30581	9	1	experimental	experimental	ADJ
fcis-30581	9	2	results	result	NOUN
fcis-30581	9	3	demonstrate	demonstrate	VERB
fcis-30581	9	4	that	that	SCONJ
fcis-30581	9	5	the	the	DET
fcis-30581	9	6	proposed	propose	VERB
fcis-30581	9	7	algorithm	algorithm	NOUN
fcis-30581	9	8	outperforms	outperform	VERB
fcis-30581	9	9	the	the	DET
fcis-30581	9	10	original	original	ADJ
fcis-30581	9	11	yolov8	yolov8	NOUN
fcis-30581	9	12	and	and	CCONJ
fcis-30581	9	13	other	other	ADJ
fcis-30581	9	14	mainstream	mainstream	ADJ
fcis-30581	9	15	algorithms	algorithm	NOUN
fcis-30581	9	16	on	on	ADP
fcis-30581	9	17	the	the	DET
fcis-30581	9	18	m3fd	m3fd	ADJ
fcis-30581	9	19	dataset	dataset	NOUN
fcis-30581	9	20	,	,	PUNCT
fcis-30581	9	21	achieving	achieve	VERB
fcis-30581	9	22	a	a	DET
fcis-30581	9	23	4.0	4.0	NUM
fcis-30581	9	24	%	%	NOUN
fcis-30581	9	25	improvement	improvement	NOUN
fcis-30581	9	26	in	in	ADP
fcis-30581	9	27	map@0.5~0.95	map@0.5~0.95	NOUN
fcis-30581	9	28	compared	compare	VERB
fcis-30581	9	29	to	to	ADP
fcis-30581	9	30	the	the	DET
fcis-30581	9	31	baseline	baseline	PROPN
fcis-30581	9	32	yolov8	yolov8	PROPN
fcis-30581	9	33	.	.	PUNCT
fcis-30581	10	1	this	this	PRON
fcis-30581	10	2	effectively	effectively	ADV
fcis-30581	10	3	enhances	enhance	VERB
fcis-30581	10	4	object	object	NOUN
fcis-30581	10	5	detection	detection	NOUN
fcis-30581	10	6	performance	performance	NOUN
fcis-30581	10	7	in	in	ADP
fcis-30581	10	8	challenging	challenge	VERB
fcis-30581	10	9	environments	environment	NOUN
fcis-30581	10	10	such	such	ADJ
fcis-30581	10	11	as	as	ADP
fcis-30581	10	12	adverse	adverse	ADJ
fcis-30581	10	13	weather	weather	NOUN
fcis-30581	10	14	conditions	condition	NOUN
fcis-30581	10	15	and	and	CCONJ
fcis-30581	10	16	traffic	traffic	NOUN
fcis-30581	10	17	congestion	congestion	NOUN
fcis-30581	10	18	.	.	PUNCT
fcis-30581	11	1	keywords	keyword	NOUN
fcis-30581	11	2	:	:	PUNCT
fcis-30581	11	3	multimodal	multimodal	ADJ
fcis-30581	11	4	;	;	PUNCT
fcis-30581	11	5	target	target	NOUN
fcis-30581	11	6	detection	detection	NOUN
fcis-30581	11	7	;	;	PUNCT
fcis-30581	11	8	feature	feature	NOUN
fcis-30581	11	9	fusion	fusion	NOUN
fcis-30581	11	10	.	.	PUNCT
fcis-30581	12	1	1	1	X
fcis-30581	12	2	.	.	X
fcis-30581	12	3	introduction	introduction	NOUN
fcis-30581	12	4	in	in	ADP
fcis-30581	12	5	recent	recent	ADJ
fcis-30581	12	6	years	year	NOUN
fcis-30581	12	7	,	,	PUNCT
fcis-30581	12	8	automatic	automatic	ADJ
fcis-30581	12	9	driving	driving	NOUN
fcis-30581	12	10	technology	technology	NOUN
fcis-30581	13	1	[	[	X
fcis-30581	13	2	1	1	X
fcis-30581	13	3	]	]	PUNCT
fcis-30581	13	4	has	have	AUX
fcis-30581	13	5	played	play	VERB
fcis-30581	13	6	an	an	DET
fcis-30581	13	7	important	important	ADJ
fcis-30581	13	8	role	role	NOUN
fcis-30581	13	9	in	in	ADP
fcis-30581	13	10	reducing	reduce	VERB
fcis-30581	13	11	traffic	traffic	NOUN
fcis-30581	13	12	accidents	accident	NOUN
fcis-30581	13	13	,	,	PUNCT
fcis-30581	13	14	alleviating	alleviate	VERB
fcis-30581	13	15	traffic	traffic	NOUN
fcis-30581	13	16	pressure	pressure	NOUN
fcis-30581	13	17	,	,	PUNCT
fcis-30581	13	18	and	and	CCONJ
fcis-30581	13	19	promoting	promote	VERB
fcis-30581	13	20	traffic	traffic	NOUN
fcis-30581	13	21	universality	universality	NOUN
fcis-30581	13	22	.	.	PUNCT
fcis-30581	14	1	and	and	CCONJ
fcis-30581	14	2	target	target	VERB
fcis-30581	14	3	detection	detection	NOUN
fcis-30581	14	4	,	,	PUNCT
fcis-30581	14	5	as	as	ADP
fcis-30581	14	6	its	its	PRON
fcis-30581	14	7	important	important	ADJ
fcis-30581	14	8	branch	branch	NOUN
fcis-30581	14	9	,	,	PUNCT
fcis-30581	14	10	has	have	AUX
fcis-30581	14	11	received	receive	VERB
fcis-30581	14	12	attention	attention	NOUN
fcis-30581	14	13	and	and	CCONJ
fcis-30581	14	14	favour	favour	NOUN
fcis-30581	14	15	from	from	ADP
fcis-30581	14	16	many	many	ADJ
fcis-30581	14	17	researchers	researcher	NOUN
fcis-30581	14	18	.	.	PUNCT
fcis-30581	15	1	target	target	NOUN
fcis-30581	15	2	detection	detection	NOUN
fcis-30581	15	3	technology	technology	NOUN
fcis-30581	15	4	enables	enable	VERB
fcis-30581	15	5	self	self	NOUN
fcis-30581	15	6	-	-	PUNCT
fcis-30581	15	7	driving	drive	VERB
fcis-30581	15	8	vehicles	vehicle	NOUN
fcis-30581	15	9	to	to	PART
fcis-30581	15	10	accurately	accurately	ADV
fcis-30581	15	11	identify	identify	VERB
fcis-30581	15	12	and	and	CCONJ
fcis-30581	15	13	classify	classify	VERB
fcis-30581	15	14	various	various	ADJ
fcis-30581	15	15	objects	object	NOUN
fcis-30581	15	16	in	in	ADP
fcis-30581	15	17	the	the	DET
fcis-30581	15	18	surrounding	surround	VERB
fcis-30581	15	19	environment	environment	NOUN
fcis-30581	15	20	,	,	PUNCT
fcis-30581	15	21	including	include	VERB
fcis-30581	15	22	other	other	ADJ
fcis-30581	15	23	vehicles	vehicle	NOUN
fcis-30581	15	24	,	,	PUNCT
fcis-30581	15	25	pedestrians	pedestrian	NOUN
fcis-30581	15	26	and	and	CCONJ
fcis-30581	15	27	obstacles	obstacle	NOUN
fcis-30581	15	28	.	.	PUNCT
fcis-30581	16	1	this	this	DET
fcis-30581	16	2	real	real	ADJ
fcis-30581	16	3	-	-	PUNCT
fcis-30581	16	4	time	time	NOUN
fcis-30581	16	5	sensing	sense	VERB
fcis-30581	16	6	capability	capability	NOUN
fcis-30581	16	7	is	be	AUX
fcis-30581	16	8	the	the	DET
fcis-30581	16	9	basis	basis	NOUN
fcis-30581	16	10	for	for	SCONJ
fcis-30581	16	11	vehicles	vehicle	NOUN
fcis-30581	16	12	to	to	PART
fcis-30581	16	13	make	make	VERB
fcis-30581	16	14	safe	safe	ADJ
fcis-30581	16	15	decisions	decision	NOUN
fcis-30581	16	16	,	,	PUNCT
fcis-30581	16	17	especially	especially	ADV
fcis-30581	16	18	in	in	ADP
fcis-30581	16	19	complex	complex	ADJ
fcis-30581	16	20	and	and	CCONJ
fcis-30581	16	21	dynamic	dynamic	ADJ
fcis-30581	16	22	traffic	traffic	NOUN
fcis-30581	16	23	environments	environment	NOUN
fcis-30581	16	24	,	,	PUNCT
fcis-30581	16	25	where	where	SCONJ
fcis-30581	16	26	fast	fast	ADJ
fcis-30581	16	27	and	and	CCONJ
fcis-30581	16	28	accurate	accurate	ADJ
fcis-30581	16	29	target	target	NOUN
fcis-30581	16	30	recognition	recognition	NOUN
fcis-30581	16	31	is	be	AUX
fcis-30581	16	32	the	the	DET
fcis-30581	16	33	key	key	NOUN
fcis-30581	16	34	to	to	PART
fcis-30581	16	35	ensure	ensure	VERB
fcis-30581	16	36	safe	safe	ADJ
fcis-30581	16	37	driving	driving	NOUN
fcis-30581	16	38	.	.	PUNCT
fcis-30581	17	1	however	however	ADV
fcis-30581	17	2	,	,	PUNCT
fcis-30581	17	3	the	the	DET
fcis-30581	17	4	traditional	traditional	ADJ
fcis-30581	17	5	visible	visible	ADJ
fcis-30581	17	6	light	light	NOUN
fcis-30581	17	7	-	-	PUNCT
fcis-30581	17	8	based	base	VERB
fcis-30581	17	9	target	target	NOUN
fcis-30581	17	10	detection	detection	NOUN
fcis-30581	17	11	method	method	NOUN
fcis-30581	17	12	mainly	mainly	ADV
fcis-30581	17	13	relies	rely	VERB
fcis-30581	17	14	on	on	ADP
fcis-30581	17	15	the	the	DET
fcis-30581	17	16	shape	shape	NOUN
fcis-30581	17	17	,	,	PUNCT
fcis-30581	17	18	size	size	NOUN
fcis-30581	17	19	,	,	PUNCT
fcis-30581	17	20	colour	colour	NOUN
fcis-30581	17	21	and	and	CCONJ
fcis-30581	17	22	other	other	ADJ
fcis-30581	17	23	physical	physical	ADJ
fcis-30581	17	24	characteristics	characteristic	NOUN
fcis-30581	17	25	of	of	ADP
fcis-30581	17	26	the	the	DET
fcis-30581	17	27	object	object	NOUN
fcis-30581	17	28	under	under	ADP
fcis-30581	17	29	visible	visible	ADJ
fcis-30581	17	30	light	light	ADJ
fcis-30581	17	31	conditions	condition	NOUN
fcis-30581	17	32	,	,	PUNCT
fcis-30581	17	33	which	which	PRON
fcis-30581	17	34	makes	make	VERB
fcis-30581	17	35	it	it	PRON
fcis-30581	17	36	more	more	ADV
fcis-30581	17	37	limited	limited	ADJ
fcis-30581	17	38	in	in	ADP
fcis-30581	17	39	some	some	DET
fcis-30581	17	40	specific	specific	ADJ
fcis-30581	17	41	situations	situation	NOUN
fcis-30581	17	42	.	.	PUNCT
fcis-30581	18	1	when	when	SCONJ
fcis-30581	18	2	the	the	DET
fcis-30581	18	3	lighting	lighting	NOUN
fcis-30581	18	4	conditions	condition	NOUN
fcis-30581	18	5	are	be	AUX
fcis-30581	18	6	insufficient	insufficient	ADJ
fcis-30581	18	7	,	,	PUNCT
fcis-30581	18	8	such	such	ADJ
fcis-30581	18	9	as	as	ADP
fcis-30581	18	10	in	in	ADP
fcis-30581	18	11	bad	bad	ADJ
fcis-30581	18	12	weather	weather	NOUN
fcis-30581	18	13	,	,	PUNCT
fcis-30581	18	14	the	the	DET
fcis-30581	18	15	visibility	visibility	NOUN
fcis-30581	18	16	of	of	ADP
fcis-30581	18	17	the	the	DET
fcis-30581	18	18	target	target	NOUN
fcis-30581	18	19	decreases	decrease	VERB
fcis-30581	18	20	significantly	significantly	ADV
fcis-30581	18	21	,	,	PUNCT
fcis-30581	18	22	which	which	PRON
fcis-30581	18	23	leads	lead	VERB
fcis-30581	18	24	to	to	ADP
fcis-30581	18	25	a	a	DET
fcis-30581	18	26	serious	serious	ADJ
fcis-30581	18	27	impact	impact	NOUN
fcis-30581	18	28	on	on	ADP
fcis-30581	18	29	the	the	DET
fcis-30581	18	30	accuracy	accuracy	NOUN
fcis-30581	18	31	and	and	CCONJ
fcis-30581	18	32	robustness	robustness	NOUN
fcis-30581	18	33	of	of	ADP
fcis-30581	18	34	the	the	DET
fcis-30581	18	35	detection	detection	NOUN
fcis-30581	18	36	system	system	NOUN
fcis-30581	18	37	.	.	PUNCT
fcis-30581	19	1	in	in	ADP
fcis-30581	19	2	addition	addition	NOUN
fcis-30581	19	3	,	,	PUNCT
fcis-30581	19	4	when	when	SCONJ
fcis-30581	19	5	the	the	DET
fcis-30581	19	6	targets	target	NOUN
fcis-30581	19	7	are	be	AUX
fcis-30581	19	8	densely	densely	ADV
fcis-30581	19	9	packed	pack	VERB
fcis-30581	19	10	and	and	CCONJ
fcis-30581	19	11	occlude	occlude	VERB
fcis-30581	19	12	each	each	DET
fcis-30581	19	13	other	other	ADJ
fcis-30581	19	14	,	,	PUNCT
fcis-30581	19	15	it	it	PRON
fcis-30581	19	16	is	be	AUX
fcis-30581	19	17	difficult	difficult	ADJ
fcis-30581	19	18	for	for	SCONJ
fcis-30581	19	19	conventional	conventional	ADJ
fcis-30581	19	20	methods	method	NOUN
fcis-30581	19	21	to	to	PART
fcis-30581	19	22	identify	identify	VERB
fcis-30581	19	23	and	and	CCONJ
fcis-30581	19	24	localise	localise	VERB
fcis-30581	19	25	these	these	DET
fcis-30581	19	26	targets	target	NOUN
fcis-30581	19	27	effectively	effectively	ADV
fcis-30581	19	28	,	,	PUNCT
fcis-30581	19	29	which	which	PRON
fcis-30581	19	30	further	far	ADV
fcis-30581	19	31	limits	limit	VERB
fcis-30581	19	32	their	their	PRON
fcis-30581	19	33	application	application	NOUN
fcis-30581	19	34	in	in	ADP
fcis-30581	19	35	complex	complex	ADJ
fcis-30581	19	36	environments	environment	NOUN
fcis-30581	19	37	.	.	PUNCT
fcis-30581	20	1	to	to	PART
fcis-30581	20	2	overcome	overcome	VERB
fcis-30581	20	3	this	this	DET
fcis-30581	20	4	deficiency	deficiency	NOUN
fcis-30581	20	5	,	,	PUNCT
fcis-30581	20	6	the	the	DET
fcis-30581	20	7	application	application	NOUN
fcis-30581	20	8	of	of	ADP
fcis-30581	20	9	multimodal	multimodal	NOUN
fcis-30581	20	10	target	target	NOUN
fcis-30581	20	11	detection	detection	NOUN
fcis-30581	20	12	has	have	AUX
fcis-30581	20	13	emerged	emerge	VERB
fcis-30581	20	14	.	.	PUNCT
fcis-30581	21	1	it	it	PRON
fcis-30581	21	2	fuses	fuse	VERB
fcis-30581	21	3	the	the	DET
fcis-30581	21	4	information	information	NOUN
fcis-30581	21	5	characteristics	characteristic	NOUN
fcis-30581	21	6	of	of	ADP
fcis-30581	21	7	many	many	ADJ
fcis-30581	21	8	different	different	ADJ
fcis-30581	21	9	modalities	modality	NOUN
fcis-30581	21	10	to	to	PART
fcis-30581	21	11	provide	provide	VERB
fcis-30581	21	12	accurate	accurate	ADJ
fcis-30581	21	13	information	information	NOUN
fcis-30581	21	14	in	in	ADP
fcis-30581	21	15	an	an	DET
fcis-30581	21	16	all	all	ADV
fcis-30581	21	17	-	-	PUNCT
fcis-30581	21	18	round	round	NOUN
fcis-30581	21	19	way	way	NOUN
fcis-30581	21	20	,	,	PUNCT
fcis-30581	21	21	which	which	PRON
fcis-30581	21	22	helps	help	VERB
fcis-30581	21	23	to	to	PART
fcis-30581	21	24	improve	improve	VERB
fcis-30581	21	25	the	the	DET
fcis-30581	21	26	speed	speed	NOUN
fcis-30581	21	27	and	and	CCONJ
fcis-30581	21	28	accuracy	accuracy	NOUN
fcis-30581	21	29	of	of	ADP
fcis-30581	21	30	target	target	NOUN
fcis-30581	21	31	detection	detection	NOUN
fcis-30581	21	32	in	in	ADP
fcis-30581	21	33	various	various	ADJ
fcis-30581	21	34	complex	complex	ADJ
fcis-30581	21	35	environments	environment	NOUN
fcis-30581	21	36	.	.	PUNCT
fcis-30581	22	1	target	target	NOUN
fcis-30581	22	2	detection	detection	NOUN
fcis-30581	22	3	as	as	ADP
fcis-30581	22	4	one	one	NUM
fcis-30581	22	5	of	of	ADP
fcis-30581	22	6	the	the	DET
fcis-30581	22	7	core	core	NOUN
fcis-30581	22	8	in	in	ADP
fcis-30581	22	9	the	the	DET
fcis-30581	22	10	field	field	NOUN
fcis-30581	22	11	of	of	ADP
fcis-30581	22	12	computer	computer	NOUN
fcis-30581	22	13	vision	vision	NOUN
fcis-30581	22	14	is	be	AUX
fcis-30581	22	15	divided	divide	VERB
fcis-30581	22	16	into	into	ADP
fcis-30581	22	17	two	two	NUM
fcis-30581	22	18	categories	category	NOUN
fcis-30581	22	19	:	:	PUNCT
fcis-30581	22	20	detection	detection	NOUN
fcis-30581	22	21	based	base	VERB
fcis-30581	22	22	on	on	ADP
fcis-30581	22	23	traditional	traditional	ADJ
fcis-30581	22	24	methods	method	NOUN
fcis-30581	22	25	and	and	CCONJ
fcis-30581	22	26	detection	detection	NOUN
fcis-30581	22	27	based	base	VERB
fcis-30581	22	28	on	on	ADP
fcis-30581	22	29	deep	deep	ADJ
fcis-30581	22	30	learning	learning	NOUN
fcis-30581	22	31	.	.	PUNCT
fcis-30581	23	1	the	the	DET
fcis-30581	23	2	deep	deep	ADJ
fcis-30581	23	3	learning	learning	NOUN
fcis-30581	23	4	based	base	VERB
fcis-30581	23	5	detection	detection	NOUN
fcis-30581	23	6	is	be	AUX
fcis-30581	23	7	further	far	ADV
fcis-30581	23	8	divided	divide	VERB
fcis-30581	23	9	into	into	ADP
fcis-30581	23	10	two	two	NUM
fcis-30581	23	11	-	-	PUNCT
fcis-30581	23	12	stage	stage	NOUN
fcis-30581	23	13	and	and	CCONJ
fcis-30581	23	14	one	one	NUM
fcis-30581	23	15	-	-	PUNCT
fcis-30581	23	16	stage	stage	NOUN
fcis-30581	23	17	models	model	NOUN
fcis-30581	23	18	based	base	VERB
fcis-30581	23	19	on	on	ADP
fcis-30581	23	20	whether	whether	SCONJ
fcis-30581	23	21	or	or	CCONJ
fcis-30581	23	22	not	not	PART
fcis-30581	23	23	a	a	DET
fcis-30581	23	24	region	region	NOUN
fcis-30581	23	25	proposal	proposal	NOUN
fcis-30581	23	26	network	network	NOUN
fcis-30581	23	27	(	(	PUNCT
fcis-30581	23	28	rpn	rpn	PROPN
fcis-30581	23	29	)	)	PUNCT
fcis-30581	23	30	is	be	AUX
fcis-30581	23	31	used	use	VERB
fcis-30581	23	32	to	to	PART
fcis-30581	23	33	generate	generate	VERB
fcis-30581	23	34	candidate	candidate	NOUN
fcis-30581	23	35	regions	region	NOUN
fcis-30581	23	36	.	.	PUNCT
fcis-30581	24	1	the	the	DET
fcis-30581	24	2	two	two	NUM
fcis-30581	24	3	-	-	PUNCT
fcis-30581	24	4	stage	stage	NOUN
fcis-30581	24	5	model	model	NOUN
fcis-30581	24	6	divides	divide	VERB
fcis-30581	24	7	the	the	DET
fcis-30581	24	8	target	target	NOUN
fcis-30581	24	9	detection	detection	NOUN
fcis-30581	24	10	task	task	NOUN
fcis-30581	24	11	into	into	ADP
fcis-30581	24	12	two	two	NUM
fcis-30581	24	13	consecutive	consecutive	ADJ
fcis-30581	24	14	stages	stage	NOUN
fcis-30581	24	15	,	,	PUNCT
fcis-30581	24	16	with	with	ADP
fcis-30581	24	17	the	the	DET
fcis-30581	24	18	first	first	ADJ
fcis-30581	24	19	stage	stage	NOUN
fcis-30581	24	20	generating	generate	VERB
fcis-30581	24	21	the	the	DET
fcis-30581	24	22	rpn	rpn	PROPN
fcis-30581	24	23	first	first	ADV
fcis-30581	24	24	,	,	PUNCT
fcis-30581	24	25	and	and	CCONJ
fcis-30581	24	26	the	the	DET
fcis-30581	24	27	second	second	ADJ
fcis-30581	24	28	stage	stage	NOUN
fcis-30581	24	29	performing	perform	VERB
fcis-30581	24	30	classification	classification	NOUN
fcis-30581	24	31	and	and	CCONJ
fcis-30581	24	32	positional	positional	ADJ
fcis-30581	24	33	regression	regression	NOUN
fcis-30581	24	34	on	on	ADP
fcis-30581	24	35	the	the	DET
fcis-30581	24	36	generated	generate	VERB
fcis-30581	24	37	candidate	candidate	NOUN
fcis-30581	24	38	regions	region	NOUN
fcis-30581	24	39	to	to	PART
fcis-30581	24	40	locate	locate	VERB
fcis-30581	24	41	and	and	CCONJ
fcis-30581	24	42	segment	segment	VERB
fcis-30581	24	43	the	the	DET
fcis-30581	24	44	object	object	NOUN
fcis-30581	24	45	more	more	ADV
fcis-30581	24	46	easily	easily	ADV
fcis-30581	24	47	.	.	PUNCT
fcis-30581	25	1	such	such	ADJ
fcis-30581	25	2	models	model	NOUN
fcis-30581	25	3	are	be	AUX
fcis-30581	25	4	led	lead	VERB
fcis-30581	25	5	by	by	ADP
fcis-30581	25	6	r	r	NOUN
fcis-30581	25	7	-	-	PUNCT
fcis-30581	25	8	ncc	ncc	NOUN
fcis-30581	25	9	[	[	X
fcis-30581	25	10	2	2	NUM
fcis-30581	25	11	]	]	PUNCT
fcis-30581	25	12	,	,	PUNCT
fcis-30581	25	13	the	the	DET
fcis-30581	25	14	first	first	ADJ
fcis-30581	25	15	deep	deep	ADJ
fcis-30581	25	16	learning	learning	NOUN
fcis-30581	25	17	model	model	NOUN
fcis-30581	25	18	to	to	PART
fcis-30581	25	19	use	use	VERB
fcis-30581	25	20	convolutional	convolutional	ADJ
fcis-30581	25	21	neural	neural	ADJ
fcis-30581	25	22	networks	network	NOUN
fcis-30581	25	23	for	for	ADP
fcis-30581	25	24	target	target	NOUN
fcis-30581	25	25	detection	detection	NOUN
fcis-30581	25	26	proposed	propose	VERB
fcis-30581	25	27	by	by	ADP
fcis-30581	25	28	girshick	girshick	PROPN
fcis-30581	25	29	et	et	PROPN
fcis-30581	25	30	al	al	PROPN
fcis-30581	25	31	.	.	PROPN
fcis-30581	26	1	in	in	ADP
fcis-30581	26	2	2014	2014	NUM
fcis-30581	26	3	.	.	PUNCT
fcis-30581	27	1	in	in	ADP
fcis-30581	27	2	the	the	DET
fcis-30581	27	3	first	first	ADJ
fcis-30581	27	4	stage	stage	NOUN
fcis-30581	27	5	,	,	PUNCT
fcis-30581	27	6	the	the	DET
fcis-30581	27	7	model	model	NOUN
fcis-30581	27	8	does	do	AUX
fcis-30581	27	9	not	not	PART
fcis-30581	27	10	use	use	VERB
fcis-30581	27	11	rpns	rpns	NOUN
fcis-30581	27	12	and	and	CCONJ
fcis-30581	27	13	performs	perform	VERB
fcis-30581	27	14	the	the	DET
fcis-30581	27	15	prediction	prediction	NOUN
fcis-30581	27	16	of	of	ADP
fcis-30581	27	17	target	target	NOUN
fcis-30581	27	18	categories	category	NOUN
fcis-30581	27	19	and	and	CCONJ
fcis-30581	27	20	bounding	bound	VERB
fcis-30581	27	21	box	box	NOUN
fcis-30581	27	22	locations	location	NOUN
fcis-30581	27	23	directly	directly	ADV
fcis-30581	27	24	on	on	ADP
fcis-30581	27	25	the	the	DET
fcis-30581	27	26	input	input	NOUN
fcis-30581	27	27	image	image	NOUN
fcis-30581	27	28	or	or	CCONJ
fcis-30581	27	29	feature	feature	NOUN
fcis-30581	27	30	map	map	NOUN
fcis-30581	27	31	.	.	PUNCT
fcis-30581	28	1	redmon	redmon	PROPN
fcis-30581	28	2	et	et	PROPN
fcis-30581	28	3	al	al	PROPN
fcis-30581	28	4	.	.	PROPN
fcis-30581	28	5	were	be	AUX
fcis-30581	28	6	the	the	DET
fcis-30581	28	7	first	first	ADJ
fcis-30581	28	8	to	to	PART
fcis-30581	28	9	propose	propose	VERB
fcis-30581	28	10	the	the	DET
fcis-30581	28	11	yolo	yolo	NOUN
fcis-30581	29	1	[	[	X
fcis-30581	29	2	3	3	NUM
fcis-30581	29	3	-	-	SYM
fcis-30581	29	4	5	5	NUM
fcis-30581	29	5	]	]	PUNCT
fcis-30581	29	6	(	(	PUNCT
fcis-30581	29	7	you	you	PRON
fcis-30581	29	8	only	only	ADV
fcis-30581	29	9	look	look	VERB
fcis-30581	29	10	once	once	ADV
fcis-30581	29	11	)	)	PUNCT
fcis-30581	29	12	family	family	NOUN
fcis-30581	29	13	of	of	ADP
fcis-30581	29	14	algorithms	algorithm	NOUN
fcis-30581	29	15	in	in	ADP
fcis-30581	29	16	2016	2016	NUM
fcis-30581	29	17	.	.	PUNCT
fcis-30581	30	1	subsequently	subsequently	ADV
fcis-30581	30	2	,	,	PUNCT
fcis-30581	30	3	liu	liu	PROPN
fcis-30581	30	4	et	et	PROPN
fcis-30581	30	5	al	al	PROPN
fcis-30581	30	6	.	.	PROPN
fcis-30581	30	7	proposed	propose	VERB
fcis-30581	30	8	the	the	DET
fcis-30581	30	9	ssd	ssd	NOUN
fcis-30581	30	10	[	[	X
fcis-30581	30	11	6	6	NUM
fcis-30581	30	12	-	-	SYM
fcis-30581	30	13	8	8	NUM
fcis-30581	30	14	]	]	PUNCT
fcis-30581	30	15	model	model	NOUN
fcis-30581	30	16	,	,	PUNCT
fcis-30581	30	17	which	which	PRON
fcis-30581	30	18	utilises	utilise	VERB
fcis-30581	30	19	a	a	DET
fcis-30581	30	20	single	single	ADJ
fcis-30581	30	21	deep	deep	ADJ
fcis-30581	30	22	neural	neural	ADJ
fcis-30581	30	23	network	network	NOUN
fcis-30581	30	24	to	to	PART
fcis-30581	30	25	detect	detect	VERB
fcis-30581	30	26	targets	target	NOUN
fcis-30581	30	27	in	in	ADP
fcis-30581	30	28	an	an	DET
fcis-30581	30	29	image	image	NOUN
fcis-30581	30	30	,	,	PUNCT
fcis-30581	30	31	enhancing	enhance	VERB
fcis-30581	30	32	the	the	DET
fcis-30581	30	33	detection	detection	NOUN
fcis-30581	30	34	of	of	ADP
fcis-30581	30	35	targets	target	NOUN
fcis-30581	30	36	of	of	ADP
fcis-30581	30	37	different	different	ADJ
fcis-30581	30	38	sizes	size	NOUN
fcis-30581	30	39	.	.	PUNCT
fcis-30581	31	1	this	this	DET
fcis-30581	31	2	type	type	NOUN
fcis-30581	31	3	of	of	ADP
fcis-30581	31	4	model	model	NOUN
fcis-30581	31	5	skips	skip	VERB
fcis-30581	31	6	the	the	DET
fcis-30581	31	7	candidate	candidate	NOUN
fcis-30581	31	8	region	region	NOUN
fcis-30581	31	9	generation	generation	NOUN
fcis-30581	31	10	stage	stage	NOUN
fcis-30581	31	11	,	,	PUNCT
fcis-30581	31	12	reduces	reduce	VERB
fcis-30581	31	13	intermediate	intermediate	ADJ
fcis-30581	31	14	steps	step	NOUN
fcis-30581	31	15	,	,	PUNCT
fcis-30581	31	16	optimises	optimise	VERB
fcis-30581	31	17	computational	computational	ADJ
fcis-30581	31	18	efficiency	efficiency	NOUN
fcis-30581	31	19	and	and	CCONJ
fcis-30581	31	20	reduces	reduce	VERB
fcis-30581	31	21	processing	processing	NOUN
fcis-30581	31	22	time	time	NOUN
fcis-30581	31	23	.	.	PUNCT
fcis-30581	32	1	due	due	ADP
fcis-30581	32	2	to	to	ADP
fcis-30581	32	3	its	its	PRON
fcis-30581	32	4	efficiency	efficiency	NOUN
fcis-30581	32	5	and	and	CCONJ
fcis-30581	32	6	real	real	ADJ
fcis-30581	32	7	-	-	PUNCT
fcis-30581	32	8	time	time	NOUN
fcis-30581	32	9	nature	nature	NOUN
fcis-30581	32	10	,	,	PUNCT
fcis-30581	32	11	one	one	NUM
fcis-30581	32	12	-	-	PUNCT
fcis-30581	32	13	stage	stage	NOUN
fcis-30581	32	14	detection	detection	NOUN
fcis-30581	32	15	models	model	NOUN
fcis-30581	32	16	are	be	AUX
fcis-30581	32	17	more	more	ADV
fcis-30581	32	18	suitable	suitable	ADJ
fcis-30581	32	19	for	for	ADP
fcis-30581	32	20	use	use	NOUN
fcis-30581	32	21	in	in	ADP
fcis-30581	32	22	target	target	NOUN
fcis-30581	32	23	recognition	recognition	NOUN
fcis-30581	32	24	for	for	ADP
fcis-30581	32	25	unmanned	unmanned	ADJ
fcis-30581	32	26	vehicles	vehicle	NOUN
fcis-30581	32	27	.	.	PUNCT
fcis-30581	33	1	2	2	X
fcis-30581	33	2	.	.	X
fcis-30581	33	3	related	relate	VERB
fcis-30581	33	4	work	work	NOUN
fcis-30581	33	5	with	with	ADP
fcis-30581	33	6	the	the	DET
fcis-30581	33	7	rapid	rapid	ADJ
fcis-30581	33	8	development	development	NOUN
fcis-30581	33	9	of	of	ADP
fcis-30581	33	10	computer	computer	NOUN
fcis-30581	33	11	technology	technology	NOUN
fcis-30581	33	12	,	,	PUNCT
fcis-30581	33	13	scholars	scholar	NOUN
fcis-30581	33	14	at	at	ADP
fcis-30581	33	15	home	home	ADV
fcis-30581	33	16	and	and	CCONJ
fcis-30581	33	17	abroad	abroad	ADV
fcis-30581	33	18	have	have	AUX
fcis-30581	33	19	done	do	VERB
fcis-30581	33	20	a	a	DET
fcis-30581	33	21	lot	lot	NOUN
fcis-30581	33	22	of	of	ADP
fcis-30581	33	23	research	research	NOUN
fcis-30581	33	24	on	on	ADP
fcis-30581	33	25	improving	improve	VERB
fcis-30581	33	26	the	the	DET
fcis-30581	33	27	accuracy	accuracy	NOUN
fcis-30581	33	28	of	of	ADP
fcis-30581	33	29	target	target	NOUN
fcis-30581	33	30	detection	detection	NOUN
fcis-30581	33	31	.	.	PUNCT
fcis-30581	34	1	in	in	ADP
fcis-30581	34	2	order	order	NOUN
fcis-30581	34	3	to	to	PART
fcis-30581	34	4	fuse	fuse	VERB
fcis-30581	34	5	multimodal	multimodal	NOUN
fcis-30581	34	6	data	datum	NOUN
fcis-30581	34	7	and	and	CCONJ
fcis-30581	34	8	improve	improve	VERB
fcis-30581	34	9	the	the	DET
fcis-30581	34	10	detection	detection	NOUN
fcis-30581	34	11	effect	effect	NOUN
fcis-30581	34	12	,	,	PUNCT
fcis-30581	34	13	researchers	researcher	NOUN
fcis-30581	34	14	have	have	AUX
fcis-30581	34	15	proposed	propose	VERB
fcis-30581	34	16	a	a	DET
fcis-30581	34	17	variety	variety	NOUN
fcis-30581	34	18	of	of	ADP
fcis-30581	34	19	multimodal	multimodal	NOUN
fcis-30581	34	20	image	image	NOUN
fcis-30581	34	21	fusion	fusion	NOUN
fcis-30581	34	22	methods	method	NOUN
fcis-30581	34	23	.	.	PUNCT
fcis-30581	35	1	zhou	zhou	PROPN
fcis-30581	36	1	[	[	X
fcis-30581	36	2	9	9	NUM
fcis-30581	36	3	]	]	PUNCT
fcis-30581	36	4	et	et	PROPN
fcis-30581	36	5	al	al	PROPN
fcis-30581	36	6	.	.	PROPN
fcis-30581	36	7	proposed	propose	VERB
fcis-30581	36	8	modal	modal	ADJ
fcis-30581	36	9	balanced	balanced	ADJ
fcis-30581	36	10	network	network	NOUN
fcis-30581	36	11	(	(	PUNCT
fcis-30581	36	12	mbnet	mbnet	NOUN
fcis-30581	36	13	)	)	PUNCT
fcis-30581	36	14	,	,	PUNCT
fcis-30581	36	15	which	which	PRON
fcis-30581	36	16	is	be	AUX
fcis-30581	36	17	able	able	ADJ
fcis-30581	36	18	to	to	PART
fcis-30581	36	19	achieve	achieve	VERB
fcis-30581	36	20	adaptive	adaptive	ADJ
fcis-30581	36	21	feature	feature	NOUN
fcis-30581	36	22	fusion	fusion	NOUN
fcis-30581	36	23	through	through	ADP
fcis-30581	36	24	the	the	DET
fcis-30581	36	25	introduction	introduction	NOUN
fcis-30581	36	26	of	of	ADP
fcis-30581	36	27	differential	differential	ADJ
fcis-30581	36	28	modal	modal	NOUN
fcis-30581	36	29	sensing	sensing	NOUN
fcis-30581	36	30	module	module	NOUN
fcis-30581	36	31	and	and	CCONJ
fcis-30581	36	32	light	light	ADJ
fcis-30581	36	33	sensing	sense	VERB
fcis-30581	36	34	alignment	alignment	NOUN
fcis-30581	36	35	module	module	NOUN
fcis-30581	36	36	.	.	PUNCT
fcis-30581	37	1	by	by	ADP
fcis-30581	37	2	optimising	optimise	VERB
fcis-30581	37	3	the	the	DET
fcis-30581	37	4	information	information	NOUN
fcis-30581	37	5	90	90	NUM
fcis-30581	37	6	balance	balance	NOUN
fcis-30581	37	7	between	between	ADP
fcis-30581	37	8	modalities	modality	NOUN
fcis-30581	37	9	,	,	PUNCT
fcis-30581	37	10	mbnet	mbnet	NOUN
fcis-30581	37	11	significantly	significantly	ADV
fcis-30581	37	12	improves	improve	VERB
fcis-30581	37	13	the	the	DET
fcis-30581	37	14	accuracy	accuracy	NOUN
fcis-30581	37	15	of	of	ADP
fcis-30581	37	16	pedestrian	pedestrian	NOUN
fcis-30581	37	17	detection	detection	NOUN
fcis-30581	37	18	in	in	ADP
fcis-30581	37	19	complex	complex	ADJ
fcis-30581	37	20	environments	environment	NOUN
fcis-30581	37	21	,	,	PUNCT
fcis-30581	37	22	especially	especially	ADV
fcis-30581	37	23	in	in	ADP
fcis-30581	37	24	low	low	ADJ
fcis-30581	37	25	-	-	PUNCT
fcis-30581	37	26	light	light	NOUN
fcis-30581	37	27	or	or	CCONJ
fcis-30581	37	28	modal	modal	ADJ
fcis-30581	37	29	imbalance	imbalance	NOUN
fcis-30581	37	30	situations	situation	NOUN
fcis-30581	37	31	.	.	PUNCT
fcis-30581	38	1	ma	ma	PROPN
fcis-30581	39	1	[	[	X
fcis-30581	39	2	10	10	NUM
fcis-30581	39	3	]	]	PUNCT
fcis-30581	39	4	et	et	PROPN
fcis-30581	39	5	al	al	PROPN
fcis-30581	39	6	.	.	PROPN
fcis-30581	39	7	proposed	propose	VERB
fcis-30581	39	8	a	a	DET
fcis-30581	39	9	generative	generative	ADJ
fcis-30581	39	10	adversarial	adversarial	ADJ
fcis-30581	39	11	network	network	NOUN
fcis-30581	39	12	(	(	PUNCT
fcis-30581	39	13	gan	gan	NOUN
fcis-30581	39	14	)	)	PUNCT
fcis-30581	39	15	architecture	architecture	NOUN
fcis-30581	39	16	and	and	CCONJ
fcis-30581	39	17	designed	design	VERB
fcis-30581	39	18	a	a	DET
fcis-30581	39	19	dedicated	dedicated	ADJ
fcis-30581	39	20	loss	loss	NOUN
fcis-30581	39	21	function	function	NOUN
fcis-30581	39	22	for	for	ADP
fcis-30581	39	23	it	it	PRON
fcis-30581	39	24	,	,	PUNCT
fcis-30581	39	25	aiming	aim	VERB
fcis-30581	39	26	to	to	PART
fcis-30581	39	27	improve	improve	VERB
fcis-30581	39	28	the	the	DET
fcis-30581	39	29	fusion	fusion	NOUN
fcis-30581	39	30	of	of	ADP
fcis-30581	39	31	infrared	infrared	ADJ
fcis-30581	39	32	images	image	NOUN
fcis-30581	39	33	with	with	ADP
fcis-30581	39	34	visible	visible	ADJ
fcis-30581	39	35	light	light	NOUN
fcis-30581	39	36	images	image	NOUN
fcis-30581	39	37	.	.	PUNCT
fcis-30581	40	1	gan	gan	PROPN
fcis-30581	40	2	gan	gan	PROPN
fcis-30581	40	3	can	can	AUX
fcis-30581	40	4	effectively	effectively	ADV
fcis-30581	40	5	improve	improve	VERB
fcis-30581	40	6	the	the	DET
fcis-30581	40	7	quality	quality	NOUN
fcis-30581	40	8	of	of	ADP
fcis-30581	40	9	fused	fuse	VERB
fcis-30581	40	10	images	image	NOUN
fcis-30581	40	11	and	and	CCONJ
fcis-30581	40	12	the	the	DET
fcis-30581	40	13	accuracy	accuracy	NOUN
fcis-30581	40	14	of	of	ADP
fcis-30581	40	15	target	target	NOUN
fcis-30581	40	16	detection	detection	NOUN
fcis-30581	40	17	,	,	PUNCT
fcis-30581	40	18	especially	especially	ADV
fcis-30581	40	19	in	in	ADP
fcis-30581	40	20	dynamic	dynamic	ADJ
fcis-30581	40	21	scenes	scene	NOUN
fcis-30581	40	22	,	,	PUNCT
fcis-30581	40	23	by	by	ADP
fcis-30581	40	24	making	make	VERB
fcis-30581	40	25	the	the	DET
fcis-30581	40	26	fusion	fusion	NOUN
fcis-30581	40	27	of	of	ADP
fcis-30581	40	28	different	different	ADJ
fcis-30581	40	29	modal	modal	ADJ
fcis-30581	40	30	images	image	NOUN
fcis-30581	40	31	more	more	ADV
fcis-30581	40	32	natural	natural	ADJ
fcis-30581	40	33	through	through	ADP
fcis-30581	40	34	adversarial	adversarial	ADJ
fcis-30581	40	35	training.chen	training.chen	NOUN
fcis-30581	41	1	[	[	X
fcis-30581	41	2	11	11	NUM
fcis-30581	41	3	]	]	PUNCT
fcis-30581	41	4	et	et	PROPN
fcis-30581	41	5	al	al	PROPN
fcis-30581	41	6	.	.	PROPN
fcis-30581	41	7	proposed	propose	VERB
fcis-30581	41	8	an	an	DET
fcis-30581	41	9	end	end	NOUN
fcis-30581	41	10	-	-	PUNCT
fcis-30581	41	11	to	to	ADP
fcis-30581	41	12	-	-	PUNCT
fcis-30581	41	13	end	end	NOUN
fcis-30581	41	14	multiscale	multiscale	NOUN
fcis-30581	41	15	fully	fully	ADV
fcis-30581	41	16	convolutional	convolutional	ADJ
fcis-30581	41	17	network	network	NOUN
fcis-30581	41	18	(	(	PUNCT
fcis-30581	41	19	fcn	fcn	PROPN
fcis-30581	41	20	)	)	PUNCT
fcis-30581	41	21	,	,	PUNCT
fcis-30581	41	22	which	which	PRON
fcis-30581	41	23	takes	take	VERB
fcis-30581	41	24	advantage	advantage	NOUN
fcis-30581	41	25	of	of	ADP
fcis-30581	41	26	the	the	DET
fcis-30581	41	27	properties	property	NOUN
fcis-30581	41	28	of	of	ADP
fcis-30581	41	29	fully	fully	ADV
fcis-30581	41	30	convolutional	convolutional	ADJ
fcis-30581	41	31	networks	network	NOUN
fcis-30581	41	32	and	and	CCONJ
fcis-30581	41	33	discards	discard	VERB
fcis-30581	41	34	the	the	DET
fcis-30581	41	35	fully	fully	ADV
fcis-30581	41	36	connected	connected	ADJ
fcis-30581	41	37	layer	layer	NOUN
fcis-30581	41	38	of	of	ADP
fcis-30581	41	39	traditional	traditional	ADJ
fcis-30581	41	40	convolutional	convolutional	ADJ
fcis-30581	41	41	neural	neural	ADJ
fcis-30581	41	42	networks	network	NOUN
fcis-30581	41	43	(	(	PUNCT
fcis-30581	41	44	cnn	cnn	PROPN
fcis-30581	41	45	)	)	PUNCT
fcis-30581	41	46	,	,	PUNCT
fcis-30581	41	47	making	make	VERB
fcis-30581	41	48	it	it	PRON
fcis-30581	41	49	capable	capable	ADJ
fcis-30581	41	50	of	of	ADP
fcis-30581	41	51	accepting	accept	VERB
fcis-30581	41	52	arbitrary	arbitrary	ADJ
fcis-30581	41	53	sizes	size	NOUN
fcis-30581	41	54	.	.	PUNCT
fcis-30581	42	1	structure	structure	NOUN
fcis-30581	42	2	of	of	ADP
fcis-30581	42	3	traditional	traditional	ADJ
fcis-30581	42	4	convolutional	convolutional	ADJ
fcis-30581	42	5	neural	neural	ADJ
fcis-30581	42	6	network	network	NOUN
fcis-30581	42	7	(	(	PUNCT
fcis-30581	42	8	cnn	cnn	PROPN
fcis-30581	42	9	)	)	PUNCT
fcis-30581	42	10	,	,	PUNCT
fcis-30581	42	11	so	so	SCONJ
fcis-30581	42	12	that	that	SCONJ
fcis-30581	42	13	it	it	PRON
fcis-30581	42	14	can	can	AUX
fcis-30581	42	15	accept	accept	VERB
fcis-30581	42	16	input	input	NOUN
fcis-30581	42	17	images	image	NOUN
fcis-30581	42	18	of	of	ADP
fcis-30581	42	19	arbitrary	arbitrary	ADJ
fcis-30581	42	20	size	size	NOUN
fcis-30581	42	21	and	and	CCONJ
fcis-30581	42	22	output	output	NOUN
fcis-30581	42	23	corresponding	correspond	VERB
fcis-30581	42	24	feature	feature	NOUN
fcis-30581	42	25	maps	map	NOUN
fcis-30581	42	26	,	,	PUNCT
fcis-30581	42	27	compared	compare	VERB
fcis-30581	42	28	with	with	ADP
fcis-30581	42	29	the	the	DET
fcis-30581	42	30	u	u	ADJ
fcis-30581	42	31	-	-	ADJ
fcis-30581	42	32	net	net	ADJ
fcis-30581	42	33	model	model	NOUN
fcis-30581	42	34	,	,	PUNCT
fcis-30581	42	35	the	the	DET
fcis-30581	42	36	map	map	NOUN
fcis-30581	42	37	of	of	ADP
fcis-30581	42	38	this	this	DET
fcis-30581	42	39	method	method	NOUN
fcis-30581	42	40	is	be	AUX
fcis-30581	42	41	improved	improve	VERB
fcis-30581	42	42	by	by	ADP
fcis-30581	42	43	6.5	6.5	NUM
fcis-30581	42	44	%	%	NOUN
fcis-30581	42	45	.	.	PUNCT
fcis-30581	43	1	liu	liu	PROPN
fcis-30581	44	1	[	[	X
fcis-30581	44	2	12	12	NUM
fcis-30581	44	3	]	]	PUNCT
fcis-30581	44	4	et	et	PROPN
fcis-30581	44	5	al	al	PROPN
fcis-30581	44	6	.	.	PROPN
fcis-30581	44	7	proposed	propose	VERB
fcis-30581	44	8	a	a	DET
fcis-30581	44	9	road	road	NOUN
fcis-30581	44	10	detection	detection	NOUN
fcis-30581	44	11	method	method	NOUN
fcis-30581	44	12	based	base	VERB
fcis-30581	44	13	on	on	ADP
fcis-30581	44	14	multiscale	multiscale	ADJ
fcis-30581	44	15	convolutional	convolutional	ADJ
fcis-30581	44	16	neural	neural	ADJ
fcis-30581	44	17	network	network	NOUN
fcis-30581	44	18	(	(	PUNCT
fcis-30581	44	19	mscnn	mscnn	PROPN
fcis-30581	44	20	)	)	PUNCT
fcis-30581	44	21	,	,	PUNCT
fcis-30581	44	22	where	where	SCONJ
fcis-30581	44	23	the	the	DET
fcis-30581	44	24	network	network	NOUN
fcis-30581	44	25	extracts	extract	VERB
fcis-30581	44	26	features	feature	NOUN
fcis-30581	44	27	at	at	ADP
fcis-30581	44	28	different	different	ADJ
fcis-30581	44	29	scales	scale	NOUN
fcis-30581	44	30	by	by	ADP
fcis-30581	44	31	multi	multi	ADJ
fcis-30581	44	32	-	-	ADJ
fcis-30581	44	33	level	level	ADJ
fcis-30581	44	34	convolutional	convolutional	ADJ
fcis-30581	44	35	operations	operation	NOUN
fcis-30581	44	36	,	,	PUNCT
fcis-30581	44	37	which	which	PRON
fcis-30581	44	38	enhances	enhance	VERB
fcis-30581	44	39	the	the	DET
fcis-30581	44	40	accuracy	accuracy	NOUN
fcis-30581	44	41	of	of	ADP
fcis-30581	44	42	road	road	NOUN
fcis-30581	44	43	target	target	NOUN
fcis-30581	44	44	recognition	recognition	NOUN
fcis-30581	44	45	,	,	PUNCT
fcis-30581	44	46	and	and	CCONJ
fcis-30581	44	47	the	the	DET
fcis-30581	44	48	map	map	NOUN
fcis-30581	44	49	of	of	ADP
fcis-30581	44	50	the	the	DET
fcis-30581	44	51	method	method	NOUN
fcis-30581	44	52	is	be	AUX
fcis-30581	44	53	improved	improve	VERB
fcis-30581	44	54	by	by	ADP
fcis-30581	44	55	7.8	7.8	NUM
fcis-30581	44	56	%	%	NOUN
fcis-30581	44	57	compared	compare	VERB
fcis-30581	44	58	to	to	ADP
fcis-30581	44	59	fcn.zhou	fcn.zhou	NOUN
fcis-30581	45	1	[	[	X
fcis-30581	45	2	13	13	NUM
fcis-30581	45	3	]	]	PUNCT
fcis-30581	45	4	et	et	PROPN
fcis-30581	45	5	al	al	PROPN
fcis-30581	45	6	.	.	PROPN
fcis-30581	45	7	proposed	propose	VERB
fcis-30581	45	8	dual	dual	ADJ
fcis-30581	45	9	-	-	PUNCT
fcis-30581	45	10	attention	attention	NOUN
fcis-30581	45	11	network	network	NOUN
fcis-30581	45	12	(	(	PUNCT
fcis-30581	45	13	dan	dan	PROPN
fcis-30581	45	14	)	)	PUNCT
fcis-30581	45	15	,	,	PUNCT
fcis-30581	45	16	which	which	PRON
fcis-30581	45	17	is	be	AUX
fcis-30581	45	18	specifically	specifically	ADV
fcis-30581	45	19	designed	design	VERB
fcis-30581	45	20	for	for	ADP
fcis-30581	45	21	detecting	detect	VERB
fcis-30581	45	22	small	small	ADJ
fcis-30581	45	23	targets	target	NOUN
fcis-30581	45	24	in	in	ADP
fcis-30581	45	25	traffic	traffic	NOUN
fcis-30581	45	26	scenes	scene	NOUN
fcis-30581	45	27	.	.	PUNCT
fcis-30581	46	1	by	by	ADP
fcis-30581	46	2	combining	combine	VERB
fcis-30581	46	3	the	the	DET
fcis-30581	46	4	spatial	spatial	ADJ
fcis-30581	46	5	and	and	CCONJ
fcis-30581	46	6	channel	channel	NOUN
fcis-30581	46	7	attention	attention	NOUN
fcis-30581	46	8	mechanisms	mechanism	NOUN
fcis-30581	46	9	,	,	PUNCT
fcis-30581	46	10	the	the	DET
fcis-30581	46	11	model	model	NOUN
fcis-30581	46	12	can	can	AUX
fcis-30581	46	13	focus	focus	VERB
fcis-30581	46	14	on	on	ADP
fcis-30581	46	15	small	small	ADJ
fcis-30581	46	16	targets	target	NOUN
fcis-30581	46	17	more	more	ADV
fcis-30581	46	18	accurately	accurately	ADV
fcis-30581	46	19	and	and	CCONJ
fcis-30581	46	20	filter	filter	VERB
fcis-30581	46	21	out	out	ADP
fcis-30581	46	22	background	background	NOUN
fcis-30581	46	23	noise	noise	NOUN
fcis-30581	46	24	,	,	PUNCT
fcis-30581	46	25	which	which	PRON
fcis-30581	46	26	improves	improve	VERB
fcis-30581	46	27	the	the	DET
fcis-30581	46	28	map	map	NOUN
fcis-30581	46	29	by	by	ADP
fcis-30581	46	30	7.2	7.2	NUM
fcis-30581	46	31	%	%	NOUN
fcis-30581	46	32	on	on	ADP
fcis-30581	46	33	the	the	DET
fcis-30581	46	34	apolloscape	apolloscape	NOUN
fcis-30581	46	35	dataset	dataset	NOUN
fcis-30581	46	36	.	.	PUNCT
fcis-30581	47	1	although	although	SCONJ
fcis-30581	47	2	the	the	DET
fcis-30581	47	3	above	above	ADJ
fcis-30581	47	4	research	research	NOUN
fcis-30581	47	5	has	have	AUX
fcis-30581	47	6	addressed	address	VERB
fcis-30581	47	7	many	many	ADJ
fcis-30581	47	8	difficulties	difficulty	NOUN
fcis-30581	47	9	in	in	ADP
fcis-30581	47	10	the	the	DET
fcis-30581	47	11	field	field	NOUN
fcis-30581	47	12	of	of	ADP
fcis-30581	47	13	target	target	NOUN
fcis-30581	47	14	detection	detection	NOUN
fcis-30581	47	15	,	,	PUNCT
fcis-30581	47	16	it	it	PRON
fcis-30581	47	17	still	still	ADV
fcis-30581	47	18	faces	face	VERB
fcis-30581	47	19	many	many	ADJ
fcis-30581	47	20	substantial	substantial	ADJ
fcis-30581	47	21	challenges	challenge	NOUN
fcis-30581	47	22	.	.	PUNCT
fcis-30581	48	1	therefore	therefore	ADV
fcis-30581	48	2	,	,	PUNCT
fcis-30581	48	3	this	this	DET
fcis-30581	48	4	paper	paper	NOUN
fcis-30581	48	5	proposes	propose	VERB
fcis-30581	48	6	a	a	DET
fcis-30581	48	7	multimodal	multimodal	NOUN
fcis-30581	48	8	target	target	NOUN
fcis-30581	48	9	detection	detection	NOUN
fcis-30581	48	10	algorithm	algorithm	NOUN
fcis-30581	48	11	cd	cd	PROPN
fcis-30581	48	12	-	-	PUNCT
fcis-30581	48	13	mmnet	mmnet	PROPN
fcis-30581	48	14	(	(	PUNCT
fcis-30581	48	15	cbam_dbb	cbam_dbb	PROPN
fcis-30581	48	16	-	-	PUNCT
fcis-30581	48	17	multimodalnet	multimodalnet	NOUN
fcis-30581	48	18	)	)	PUNCT
fcis-30581	48	19	fusing	fuse	VERB
fcis-30581	48	20	visible	visible	ADJ
fcis-30581	48	21	and	and	CCONJ
fcis-30581	48	22	infrared	infrared	ADJ
fcis-30581	48	23	images	image	NOUN
fcis-30581	48	24	based	base	VERB
fcis-30581	48	25	on	on	ADP
fcis-30581	48	26	yolov8	yolov8	NOUN
fcis-30581	49	1	[	[	X
fcis-30581	49	2	14	14	NUM
fcis-30581	49	3	]	]	PUNCT
fcis-30581	49	4	algorithm	algorithm	NOUN
fcis-30581	49	5	as	as	ADP
fcis-30581	49	6	the	the	DET
fcis-30581	49	7	base	base	NOUN
fcis-30581	49	8	network	network	NOUN
fcis-30581	49	9	,	,	PUNCT
fcis-30581	49	10	firstly	firstly	ADV
fcis-30581	49	11	,	,	PUNCT
fcis-30581	49	12	a	a	DET
fcis-30581	49	13	two	two	NUM
fcis-30581	49	14	-	-	PUNCT
fcis-30581	49	15	branch	branch	NOUN
fcis-30581	49	16	structure	structure	NOUN
fcis-30581	49	17	is	be	AUX
fcis-30581	49	18	used	use	VERB
fcis-30581	49	19	in	in	ADP
fcis-30581	49	20	the	the	DET
fcis-30581	49	21	backbone	backbone	NOUN
fcis-30581	49	22	network	network	NOUN
fcis-30581	49	23	to	to	ADP
fcis-30581	49	24	intermediate	intermediate	ADJ
fcis-30581	49	25	fusion	fusion	NOUN
fcis-30581	49	26	the	the	DET
fcis-30581	49	27	features	feature	NOUN
fcis-30581	49	28	of	of	ADP
fcis-30581	49	29	the	the	DET
fcis-30581	49	30	two	two	NUM
fcis-30581	49	31	modalities	modality	NOUN
fcis-30581	49	32	of	of	ADP
fcis-30581	49	33	the	the	DET
fcis-30581	49	34	visible	visible	ADJ
fcis-30581	49	35	and	and	CCONJ
fcis-30581	49	36	infrared	infrared	ADJ
fcis-30581	49	37	images	image	NOUN
fcis-30581	49	38	respectively	respectively	ADV
fcis-30581	49	39	,	,	PUNCT
fcis-30581	49	40	and	and	CCONJ
fcis-30581	49	41	secondly	secondly	ADV
fcis-30581	49	42	,	,	PUNCT
fcis-30581	49	43	the	the	DET
fcis-30581	49	44	cbam	cbam	NOUN
fcis-30581	49	45	[	[	X
fcis-30581	49	46	15	15	NUM
fcis-30581	49	47	]	]	PUNCT
fcis-30581	49	48	attention	attention	NOUN
fcis-30581	49	49	mechanism	mechanism	NOUN
fcis-30581	49	50	is	be	AUX
fcis-30581	49	51	introduced	introduce	VERB
fcis-30581	49	52	to	to	PART
fcis-30581	49	53	enhance	enhance	VERB
fcis-30581	49	54	the	the	DET
fcis-30581	49	55	feature	feature	NOUN
fcis-30581	49	56	extraction	extraction	NOUN
fcis-30581	49	57	ability	ability	NOUN
fcis-30581	49	58	of	of	ADP
fcis-30581	49	59	the	the	DET
fcis-30581	49	60	model	model	NOUN
fcis-30581	49	61	,	,	PUNCT
fcis-30581	49	62	and	and	CCONJ
fcis-30581	49	63	finally	finally	ADV
fcis-30581	49	64	,	,	PUNCT
fcis-30581	49	65	the	the	DET
fcis-30581	49	66	dbb	dbb	PROPN
fcis-30581	49	67	[	[	X
fcis-30581	49	68	16	16	NUM
fcis-30581	49	69	]	]	PUNCT
fcis-30581	49	70	module	module	NOUN
fcis-30581	49	71	is	be	AUX
fcis-30581	49	72	introduced	introduce	VERB
fcis-30581	49	73	to	to	PART
fcis-30581	49	74	replace	replace	VERB
fcis-30581	49	75	the	the	DET
fcis-30581	49	76	conv	conv	ADJ
fcis-30581	49	77	module	module	NOUN
fcis-30581	49	78	of	of	ADP
fcis-30581	49	79	the	the	DET
fcis-30581	49	80	backbone	backbone	NOUN
fcis-30581	49	81	network	network	NOUN
fcis-30581	49	82	,	,	PUNCT
fcis-30581	49	83	and	and	CCONJ
fcis-30581	49	84	the	the	DET
fcis-30581	49	85	diversified	diversified	ADJ
fcis-30581	49	86	branching	branch	VERB
fcis-30581	49	87	network	network	NOUN
fcis-30581	49	88	is	be	AUX
fcis-30581	49	89	used	use	VERB
fcis-30581	49	90	to	to	PART
fcis-30581	49	91	enhance	enhance	VERB
fcis-30581	49	92	the	the	DET
fcis-30581	49	93	adaptability	adaptability	NOUN
fcis-30581	49	94	of	of	ADP
fcis-30581	49	95	the	the	DET
fcis-30581	49	96	model	model	NOUN
fcis-30581	49	97	to	to	ADP
fcis-30581	49	98	different	different	ADJ
fcis-30581	49	99	sizes	size	NOUN
fcis-30581	49	100	of	of	ADP
fcis-30581	49	101	feature	feature	NOUN
fcis-30581	49	102	maps	map	NOUN
fcis-30581	49	103	.	.	PUNCT
fcis-30581	50	1	the	the	DET
fcis-30581	50	2	improved	improved	ADJ
fcis-30581	50	3	network	network	NOUN
fcis-30581	50	4	structure	structure	NOUN
fcis-30581	50	5	is	be	AUX
fcis-30581	50	6	shown	show	VERB
fcis-30581	50	7	in	in	ADP
fcis-30581	50	8	fig	fig	NOUN
fcis-30581	50	9	.	.	PUNCT
fcis-30581	51	1	1	1	X
fcis-30581	51	2	.	.	X
fcis-30581	51	3	fig	fig	NOUN
fcis-30581	51	4	1	1	NUM
fcis-30581	51	5	.	.	PUNCT
fcis-30581	51	6	improved	improve	VERB
fcis-30581	51	7	algorithm	algorithm	NOUN
fcis-30581	51	8	model	model	NOUN
fcis-30581	51	9	91	91	NUM
fcis-30581	51	10	3	3	NUM
fcis-30581	51	11	.	.	PUNCT
fcis-30581	51	12	improved	improve	VERB
fcis-30581	51	13	yolov8	yolov8	NOUN
fcis-30581	51	14	algorithm	algorithm	PROPN
fcis-30581	51	15	3.1	3.1	NUM
fcis-30581	51	16	.	.	PUNCT
fcis-30581	52	1	multimodal	multimodal	ADJ
fcis-30581	52	2	intermediate	intermediate	ADJ
fcis-30581	52	3	fusion	fusion	NOUN
fcis-30581	52	4	module	module	NOUN
fcis-30581	52	5	unimodal	unimodal	NOUN
fcis-30581	52	6	-	-	PUNCT
fcis-30581	52	7	based	base	VERB
fcis-30581	52	8	target	target	NOUN
fcis-30581	52	9	detection	detection	NOUN
fcis-30581	52	10	has	have	VERB
fcis-30581	52	11	limitations	limitation	NOUN
fcis-30581	52	12	in	in	ADP
fcis-30581	52	13	recognising	recognise	VERB
fcis-30581	52	14	only	only	ADV
fcis-30581	52	15	one	one	NUM
fcis-30581	52	16	type	type	NOUN
fcis-30581	52	17	of	of	ADP
fcis-30581	52	18	information	information	NOUN
fcis-30581	52	19	data	datum	NOUN
fcis-30581	52	20	.	.	PUNCT
fcis-30581	53	1	for	for	ADP
fcis-30581	53	2	example	example	NOUN
fcis-30581	53	3	,	,	PUNCT
fcis-30581	53	4	using	use	VERB
fcis-30581	53	5	visible	visible	ADJ
fcis-30581	53	6	light	light	ADJ
fcis-30581	53	7	detection	detection	NOUN
fcis-30581	53	8	can	can	AUX
fcis-30581	53	9	only	only	ADV
fcis-30581	53	10	provide	provide	VERB
fcis-30581	53	11	fine	fine	ADJ
fcis-30581	53	12	visual	visual	ADJ
fcis-30581	53	13	information	information	NOUN
fcis-30581	53	14	when	when	SCONJ
fcis-30581	53	15	there	there	PRON
fcis-30581	53	16	is	be	VERB
fcis-30581	53	17	sufficient	sufficient	ADJ
fcis-30581	53	18	light	light	NOUN
fcis-30581	53	19	,	,	PUNCT
fcis-30581	53	20	and	and	CCONJ
fcis-30581	53	21	when	when	SCONJ
fcis-30581	53	22	lighting	lighting	NOUN
fcis-30581	53	23	conditions	condition	NOUN
fcis-30581	53	24	are	be	AUX
fcis-30581	53	25	insufficient	insufficient	ADJ
fcis-30581	53	26	,	,	PUNCT
fcis-30581	53	27	the	the	DET
fcis-30581	53	28	distinction	distinction	NOUN
fcis-30581	53	29	between	between	ADP
fcis-30581	53	30	the	the	DET
fcis-30581	53	31	target	target	NOUN
fcis-30581	53	32	and	and	CCONJ
fcis-30581	53	33	the	the	DET
fcis-30581	53	34	background	background	NOUN
fcis-30581	53	35	in	in	ADP
fcis-30581	53	36	a	a	DET
fcis-30581	53	37	visible	visible	ADJ
fcis-30581	53	38	image	image	NOUN
fcis-30581	53	39	often	often	ADV
fcis-30581	53	40	becomes	become	VERB
fcis-30581	53	41	difficult	difficult	ADJ
fcis-30581	53	42	.	.	PUNCT
fcis-30581	54	1	and	and	CCONJ
fcis-30581	54	2	using	use	VERB
fcis-30581	54	3	infrared	infrared	ADJ
fcis-30581	54	4	thermal	thermal	ADJ
fcis-30581	54	5	image	image	NOUN
fcis-30581	54	6	detection	detection	NOUN
fcis-30581	54	7	can	can	AUX
fcis-30581	54	8	only	only	ADV
fcis-30581	54	9	provide	provide	VERB
fcis-30581	54	10	a	a	DET
fcis-30581	54	11	clear	clear	ADJ
fcis-30581	54	12	outline	outline	NOUN
fcis-30581	54	13	when	when	SCONJ
fcis-30581	54	14	the	the	DET
fcis-30581	54	15	thermal	thermal	ADJ
fcis-30581	54	16	contrast	contrast	NOUN
fcis-30581	54	17	between	between	ADP
fcis-30581	54	18	the	the	DET
fcis-30581	54	19	figure	figure	NOUN
fcis-30581	54	20	and	and	CCONJ
fcis-30581	54	21	the	the	DET
fcis-30581	54	22	background	background	NOUN
fcis-30581	54	23	is	be	AUX
fcis-30581	54	24	large	large	ADJ
fcis-30581	54	25	,	,	PUNCT
fcis-30581	54	26	but	but	CCONJ
fcis-30581	54	27	when	when	SCONJ
fcis-30581	54	28	faced	face	VERB
fcis-30581	54	29	with	with	ADP
fcis-30581	54	30	a	a	DET
fcis-30581	54	31	complex	complex	ADJ
fcis-30581	54	32	background	background	NOUN
fcis-30581	54	33	of	of	ADP
fcis-30581	54	34	thermal	thermal	ADJ
fcis-30581	54	35	radiation	radiation	NOUN
fcis-30581	54	36	,	,	PUNCT
fcis-30581	54	37	the	the	DET
fcis-30581	54	38	target	target	NOUN
fcis-30581	54	39	details	detail	NOUN
fcis-30581	54	40	may	may	AUX
fcis-30581	54	41	be	be	AUX
fcis-30581	54	42	masked	mask	VERB
fcis-30581	54	43	by	by	ADP
fcis-30581	54	44	the	the	DET
fcis-30581	54	45	complex	complex	ADJ
fcis-30581	54	46	thermal	thermal	ADJ
fcis-30581	54	47	signals	signal	NOUN
fcis-30581	54	48	of	of	ADP
fcis-30581	54	49	the	the	DET
fcis-30581	54	50	background	background	NOUN
fcis-30581	54	51	,	,	PUNCT
fcis-30581	54	52	and	and	CCONJ
fcis-30581	54	53	identifying	identify	VERB
fcis-30581	54	54	the	the	DET
fcis-30581	54	55	target	target	NOUN
fcis-30581	54	56	is	be	AUX
fcis-30581	54	57	equally	equally	ADV
fcis-30581	54	58	difficult	difficult	ADJ
fcis-30581	54	59	.	.	PUNCT
fcis-30581	55	1	this	this	PRON
fcis-30581	55	2	shows	show	VERB
fcis-30581	55	3	that	that	SCONJ
fcis-30581	55	4	using	use	VERB
fcis-30581	55	5	only	only	ADV
fcis-30581	55	6	one	one	NUM
fcis-30581	55	7	type	type	NOUN
fcis-30581	55	8	of	of	ADP
fcis-30581	55	9	information	information	NOUN
fcis-30581	55	10	data	datum	NOUN
fcis-30581	55	11	for	for	ADP
fcis-30581	55	12	recognition	recognition	NOUN
fcis-30581	55	13	detection	detection	NOUN
fcis-30581	55	14	has	have	VERB
fcis-30581	55	15	a	a	DET
fcis-30581	55	16	large	large	ADJ
fcis-30581	55	17	error	error	NOUN
fcis-30581	55	18	.	.	PUNCT
fcis-30581	56	1	to	to	PART
fcis-30581	56	2	address	address	VERB
fcis-30581	56	3	this	this	DET
fcis-30581	56	4	challenge	challenge	NOUN
fcis-30581	56	5	,	,	PUNCT
fcis-30581	56	6	this	this	DET
fcis-30581	56	7	study	study	NOUN
fcis-30581	56	8	proposes	propose	VERB
fcis-30581	56	9	a	a	DET
fcis-30581	56	10	dual	dual	ADJ
fcis-30581	56	11	-	-	PUNCT
fcis-30581	56	12	path	path	NOUN
fcis-30581	56	13	feature	feature	NOUN
fcis-30581	56	14	fusion	fusion	NOUN
fcis-30581	56	15	mechanism	mechanism	NOUN
fcis-30581	56	16	,	,	PUNCT
fcis-30581	56	17	which	which	PRON
fcis-30581	56	18	achieves	achieve	VERB
fcis-30581	56	19	efficient	efficient	ADJ
fcis-30581	56	20	integration	integration	NOUN
fcis-30581	56	21	and	and	CCONJ
fcis-30581	56	22	complementarity	complementarity	NOUN
fcis-30581	56	23	of	of	ADP
fcis-30581	56	24	information	information	NOUN
fcis-30581	56	25	by	by	ADP
fcis-30581	56	26	dynamically	dynamically	ADV
fcis-30581	56	27	aggregating	aggregate	VERB
fcis-30581	56	28	effective	effective	ADJ
fcis-30581	56	29	features	feature	NOUN
fcis-30581	56	30	from	from	ADP
fcis-30581	56	31	multiple	multiple	ADJ
fcis-30581	56	32	sources	source	NOUN
fcis-30581	56	33	at	at	ADP
fcis-30581	56	34	the	the	DET
fcis-30581	56	35	critical	critical	ADJ
fcis-30581	56	36	level	level	NOUN
fcis-30581	56	37	of	of	ADP
fcis-30581	56	38	the	the	DET
fcis-30581	56	39	detection	detection	NOUN
fcis-30581	56	40	network	network	NOUN
fcis-30581	56	41	,	,	PUNCT
fcis-30581	56	42	thus	thus	ADV
fcis-30581	56	43	providing	provide	VERB
fcis-30581	56	44	a	a	DET
fcis-30581	56	45	more	more	ADJ
fcis-30581	56	46	discriminative	discriminative	NOUN
fcis-30581	56	47	feature	feature	NOUN
fcis-30581	56	48	representation	representation	NOUN
fcis-30581	56	49	for	for	ADP
fcis-30581	56	50	target	target	NOUN
fcis-30581	56	51	recognition	recognition	NOUN
fcis-30581	56	52	in	in	ADP
fcis-30581	56	53	complex	complex	ADJ
fcis-30581	56	54	scenes	scene	NOUN
fcis-30581	56	55	.	.	PUNCT
fcis-30581	57	1	firstly	firstly	ADV
fcis-30581	57	2	,	,	PUNCT
fcis-30581	57	3	the	the	DET
fcis-30581	57	4	modular	modular	ADJ
fcis-30581	57	5	network	network	NOUN
fcis-30581	57	6	receives	receive	VERB
fcis-30581	57	7	images	image	NOUN
fcis-30581	57	8	from	from	ADP
fcis-30581	57	9	both	both	CCONJ
fcis-30581	57	10	visible	visible	ADJ
fcis-30581	57	11	and	and	CCONJ
fcis-30581	57	12	infrared	infrared	ADJ
fcis-30581	57	13	sensors	sensor	NOUN
fcis-30581	57	14	as	as	ADP
fcis-30581	57	15	inputs	input	NOUN
fcis-30581	57	16	,	,	PUNCT
fcis-30581	57	17	and	and	CCONJ
fcis-30581	57	18	the	the	DET
fcis-30581	57	19	input	input	NOUN
fcis-30581	57	20	feature	feature	NOUN
fcis-30581	57	21	tensor	tensor	NOUN
fcis-30581	57	22	contains	contain	VERB
fcis-30581	57	23	information	information	NOUN
fcis-30581	57	24	about	about	ADP
fcis-30581	57	25	both	both	DET
fcis-30581	57	26	modalities	modality	NOUN
fcis-30581	57	27	.	.	PUNCT
fcis-30581	58	1	at	at	ADP
fcis-30581	58	2	the	the	DET
fcis-30581	58	3	initial	initial	ADJ
fcis-30581	58	4	stage	stage	NOUN
fcis-30581	58	5	of	of	ADP
fcis-30581	58	6	the	the	DET
fcis-30581	58	7	network	network	NOUN
fcis-30581	58	8	,	,	PUNCT
fcis-30581	58	9	these	these	DET
fcis-30581	58	10	inputs	input	NOUN
fcis-30581	58	11	are	be	AUX
fcis-30581	58	12	subjected	subject	VERB
fcis-30581	58	13	to	to	PART
fcis-30581	58	14	separate	separate	ADJ
fcis-30581	58	15	and	and	CCONJ
fcis-30581	58	16	independent	independent	ADJ
fcis-30581	58	17	feature	feature	NOUN
fcis-30581	58	18	extraction	extraction	NOUN
fcis-30581	58	19	through	through	ADP
fcis-30581	58	20	a	a	DET
fcis-30581	58	21	twobranch	twobranch	NOUN
fcis-30581	58	22	network	network	NOUN
fcis-30581	58	23	,	,	PUNCT
fcis-30581	58	24	specifically	specifically	ADV
fcis-30581	58	25	,	,	PUNCT
fcis-30581	58	26	the	the	DET
fcis-30581	58	27	input	input	NOUN
fcis-30581	58	28	feature	feature	NOUN
fcis-30581	58	29	tensor	tensor	NOUN
fcis-30581	58	30	is	be	AUX
fcis-30581	58	31	split	split	VERB
fcis-30581	58	32	into	into	ADP
fcis-30581	58	33	two	two	NUM
fcis-30581	58	34	parts	part	NOUN
fcis-30581	58	35	:	:	PUNCT
fcis-30581	58	36	the	the	DET
fcis-30581	58	37	first	first	ADJ
fcis-30581	58	38	three	three	NUM
fcis-30581	58	39	channels	channel	NOUN
fcis-30581	58	40	are	be	AUX
fcis-30581	58	41	used	use	VERB
fcis-30581	58	42	as	as	ADP
fcis-30581	58	43	visible	visible	ADJ
fcis-30581	58	44	features	feature	NOUN
fcis-30581	58	45	,	,	PUNCT
fcis-30581	58	46	and	and	CCONJ
fcis-30581	58	47	the	the	DET
fcis-30581	58	48	last	last	ADJ
fcis-30581	58	49	three	three	NUM
fcis-30581	58	50	channels	channel	NOUN
fcis-30581	58	51	are	be	AUX
fcis-30581	58	52	used	use	VERB
fcis-30581	58	53	as	as	ADP
fcis-30581	58	54	infrared	infrared	ADJ
fcis-30581	58	55	features	feature	NOUN
fcis-30581	58	56	.	.	PUNCT
fcis-30581	59	1	each	each	PRON
fcis-30581	59	2	of	of	ADP
fcis-30581	59	3	these	these	DET
fcis-30581	59	4	two	two	NUM
fcis-30581	59	5	branches	branch	NOUN
fcis-30581	59	6	progressively	progressively	ADV
fcis-30581	59	7	extracts	extract	VERB
fcis-30581	59	8	features	feature	NOUN
fcis-30581	59	9	at	at	ADP
fcis-30581	59	10	different	different	ADJ
fcis-30581	59	11	scales	scale	NOUN
fcis-30581	59	12	through	through	ADP
fcis-30581	59	13	successive	successive	ADJ
fcis-30581	59	14	convolution	convolution	NOUN
fcis-30581	59	15	and	and	CCONJ
fcis-30581	59	16	downsampling	downsample	VERB
fcis-30581	59	17	operations	operation	NOUN
fcis-30581	59	18	,	,	PUNCT
fcis-30581	59	19	ensuring	ensure	VERB
fcis-30581	59	20	that	that	SCONJ
fcis-30581	59	21	the	the	DET
fcis-30581	59	22	information	information	NOUN
fcis-30581	59	23	of	of	ADP
fcis-30581	59	24	each	each	DET
fcis-30581	59	25	modality	modality	NOUN
fcis-30581	59	26	can	can	AUX
fcis-30581	59	27	be	be	AUX
fcis-30581	59	28	adequately	adequately	ADV
fcis-30581	59	29	learnt	learn	VERB
fcis-30581	59	30	and	and	CCONJ
fcis-30581	59	31	expressed	express	VERB
fcis-30581	59	32	.	.	PUNCT
fcis-30581	60	1	this	this	DET
fcis-30581	60	2	design	design	NOUN
fcis-30581	60	3	enables	enable	VERB
fcis-30581	60	4	the	the	DET
fcis-30581	60	5	network	network	NOUN
fcis-30581	60	6	to	to	PART
fcis-30581	60	7	extract	extract	VERB
fcis-30581	60	8	independent	independent	ADJ
fcis-30581	60	9	feature	feature	NOUN
fcis-30581	60	10	representations	representation	NOUN
fcis-30581	60	11	for	for	ADP
fcis-30581	60	12	the	the	DET
fcis-30581	60	13	characteristics	characteristic	NOUN
fcis-30581	60	14	of	of	ADP
fcis-30581	60	15	visible	visible	ADJ
fcis-30581	60	16	and	and	CCONJ
fcis-30581	60	17	infrared	infrared	ADJ
fcis-30581	60	18	images	image	NOUN
fcis-30581	60	19	,	,	PUNCT
fcis-30581	60	20	avoiding	avoid	VERB
fcis-30581	60	21	mutual	mutual	ADJ
fcis-30581	60	22	interference	interference	NOUN
fcis-30581	60	23	between	between	ADP
fcis-30581	60	24	the	the	DET
fcis-30581	60	25	two	two	NUM
fcis-30581	60	26	modalities	modality	NOUN
fcis-30581	60	27	.	.	PUNCT
fcis-30581	61	1	next	next	ADV
fcis-30581	61	2	,	,	PUNCT
fcis-30581	61	3	in	in	ADP
fcis-30581	61	4	a	a	DET
fcis-30581	61	5	two	two	NUM
fcis-30581	61	6	-	-	PUNCT
fcis-30581	61	7	branch	branch	NOUN
fcis-30581	61	8	network	network	NOUN
fcis-30581	61	9	,	,	PUNCT
fcis-30581	61	10	the	the	DET
fcis-30581	61	11	feature	feature	NOUN
fcis-30581	61	12	maps	map	NOUN
fcis-30581	61	13	in	in	ADP
fcis-30581	61	14	each	each	DET
fcis-30581	61	15	branch	branch	NOUN
fcis-30581	61	16	are	be	AUX
fcis-30581	61	17	passed	pass	VERB
fcis-30581	61	18	through	through	ADP
fcis-30581	61	19	multiple	multiple	ADJ
fcis-30581	61	20	convolutional	convolutional	ADJ
fcis-30581	61	21	layers	layer	NOUN
fcis-30581	61	22	and	and	CCONJ
fcis-30581	61	23	pooling	pool	VERB
fcis-30581	61	24	operations	operation	NOUN
fcis-30581	61	25	,	,	PUNCT
fcis-30581	61	26	respectively	respectively	ADV
fcis-30581	61	27	,	,	PUNCT
fcis-30581	61	28	to	to	PART
fcis-30581	61	29	further	far	ADV
fcis-30581	61	30	optimise	optimise	VERB
fcis-30581	61	31	and	and	CCONJ
fcis-30581	61	32	refine	refine	VERB
fcis-30581	61	33	the	the	DET
fcis-30581	61	34	feature	feature	NOUN
fcis-30581	61	35	information	information	NOUN
fcis-30581	61	36	.	.	PUNCT
fcis-30581	62	1	in	in	ADP
fcis-30581	62	2	this	this	DET
fcis-30581	62	3	stage	stage	NOUN
fcis-30581	62	4	,	,	PUNCT
fcis-30581	62	5	the	the	DET
fcis-30581	62	6	network	network	NOUN
fcis-30581	62	7	performs	perform	VERB
fcis-30581	62	8	multi	multi	ADJ
fcis-30581	62	9	-	-	ADJ
fcis-30581	62	10	scale	scale	ADJ
fcis-30581	62	11	and	and	CCONJ
fcis-30581	62	12	hierarchical	hierarchical	ADJ
fcis-30581	62	13	processing	processing	NOUN
fcis-30581	62	14	on	on	ADP
fcis-30581	62	15	features	feature	NOUN
fcis-30581	62	16	of	of	ADP
fcis-30581	62	17	different	different	ADJ
fcis-30581	62	18	modalities	modality	NOUN
fcis-30581	62	19	,	,	PUNCT
fcis-30581	62	20	thus	thus	ADV
fcis-30581	62	21	extracting	extract	VERB
fcis-30581	62	22	low	low	ADJ
fcis-30581	62	23	-	-	PUNCT
fcis-30581	62	24	level	level	NOUN
fcis-30581	62	25	edge	edge	NOUN
fcis-30581	62	26	and	and	CCONJ
fcis-30581	62	27	texture	texture	ADJ
fcis-30581	62	28	information	information	NOUN
fcis-30581	62	29	as	as	ADV
fcis-30581	62	30	well	well	ADV
fcis-30581	62	31	as	as	ADP
fcis-30581	62	32	high	high	ADJ
fcis-30581	62	33	-	-	PUNCT
fcis-30581	62	34	level	level	NOUN
fcis-30581	62	35	semantic	semantic	ADJ
fcis-30581	62	36	features	feature	NOUN
fcis-30581	62	37	,	,	PUNCT
fcis-30581	62	38	which	which	PRON
fcis-30581	62	39	enhances	enhance	VERB
fcis-30581	62	40	the	the	DET
fcis-30581	62	41	discriminative	discriminative	NOUN
fcis-30581	62	42	ability	ability	NOUN
fcis-30581	62	43	of	of	ADP
fcis-30581	62	44	each	each	DET
fcis-30581	62	45	modal	modal	ADJ
fcis-30581	62	46	feature	feature	NOUN
fcis-30581	62	47	.	.	PUNCT
fcis-30581	63	1	this	this	PRON
fcis-30581	63	2	allows	allow	VERB
fcis-30581	63	3	the	the	DET
fcis-30581	63	4	network	network	NOUN
fcis-30581	63	5	to	to	PART
fcis-30581	63	6	improve	improve	VERB
fcis-30581	63	7	feature	feature	NOUN
fcis-30581	63	8	learning	learning	NOUN
fcis-30581	63	9	while	while	SCONJ
fcis-30581	63	10	maintaining	maintain	VERB
fcis-30581	63	11	computational	computational	ADJ
fcis-30581	63	12	efficiency	efficiency	NOUN
fcis-30581	63	13	.	.	PUNCT
fcis-30581	64	1	this	this	DET
fcis-30581	64	2	process	process	NOUN
fcis-30581	64	3	ensures	ensure	VERB
fcis-30581	64	4	that	that	PRON
fcis-30581	64	5	visible	visible	ADJ
fcis-30581	64	6	and	and	CCONJ
fcis-30581	64	7	infrared	infrared	ADJ
fcis-30581	64	8	features	feature	NOUN
fcis-30581	64	9	can	can	AUX
fcis-30581	64	10	be	be	AUX
fcis-30581	64	11	learnt	learn	VERB
fcis-30581	64	12	and	and	CCONJ
fcis-30581	64	13	represented	represent	VERB
fcis-30581	64	14	independently	independently	ADV
fcis-30581	64	15	,	,	PUNCT
fcis-30581	64	16	providing	provide	VERB
fcis-30581	64	17	richer	rich	ADJ
fcis-30581	64	18	and	and	CCONJ
fcis-30581	64	19	more	more	ADV
fcis-30581	64	20	representative	representative	ADJ
fcis-30581	64	21	features	feature	NOUN
fcis-30581	64	22	for	for	ADP
fcis-30581	64	23	the	the	DET
fcis-30581	64	24	final	final	ADJ
fcis-30581	64	25	multimodal	multimodal	NOUN
fcis-30581	64	26	fusion	fusion	NOUN
fcis-30581	64	27	.	.	PUNCT
fcis-30581	65	1	at	at	ADP
fcis-30581	65	2	a	a	DET
fcis-30581	65	3	later	later	ADJ
fcis-30581	65	4	stage	stage	NOUN
fcis-30581	65	5	,	,	PUNCT
fcis-30581	65	6	feature	feature	NOUN
fcis-30581	65	7	maps	map	NOUN
fcis-30581	65	8	from	from	ADP
fcis-30581	65	9	different	different	ADJ
fcis-30581	65	10	scales	scale	NOUN
fcis-30581	65	11	are	be	AUX
fcis-30581	65	12	spliced	splice	VERB
fcis-30581	65	13	and	and	CCONJ
fcis-30581	65	14	feature	feature	NOUN
fcis-30581	65	15	maps	map	NOUN
fcis-30581	65	16	from	from	ADP
fcis-30581	65	17	the	the	DET
fcis-30581	65	18	visible	visible	ADJ
fcis-30581	65	19	and	and	CCONJ
fcis-30581	65	20	infrared	infrared	ADJ
fcis-30581	65	21	branches	branch	NOUN
fcis-30581	65	22	are	be	AUX
fcis-30581	65	23	merged	merge	VERB
fcis-30581	65	24	in	in	ADP
fcis-30581	65	25	the	the	DET
fcis-30581	65	26	channel	channel	NOUN
fcis-30581	65	27	dimension	dimension	NOUN
fcis-30581	65	28	,	,	PUNCT
fcis-30581	65	29	thus	thus	ADV
fcis-30581	65	30	fusing	fuse	VERB
fcis-30581	65	31	useful	useful	ADJ
fcis-30581	65	32	information	information	NOUN
fcis-30581	65	33	from	from	ADP
fcis-30581	65	34	both	both	DET
fcis-30581	65	35	modalities	modality	NOUN
fcis-30581	65	36	.	.	PUNCT
fcis-30581	66	1	this	this	DET
fcis-30581	66	2	fusion	fusion	NOUN
fcis-30581	66	3	mechanism	mechanism	NOUN
fcis-30581	66	4	aims	aim	VERB
fcis-30581	66	5	to	to	PART
fcis-30581	66	6	take	take	VERB
fcis-30581	66	7	full	full	ADJ
fcis-30581	66	8	advantage	advantage	NOUN
fcis-30581	66	9	of	of	ADP
fcis-30581	66	10	the	the	DET
fcis-30581	66	11	complementary	complementary	ADJ
fcis-30581	66	12	nature	nature	NOUN
fcis-30581	66	13	of	of	ADP
fcis-30581	66	14	visible	visible	ADJ
fcis-30581	66	15	and	and	CCONJ
fcis-30581	66	16	infrared	infrared	ADJ
fcis-30581	66	17	features	feature	NOUN
fcis-30581	66	18	to	to	PART
fcis-30581	66	19	generate	generate	VERB
fcis-30581	66	20	a	a	DET
fcis-30581	66	21	more	more	ADV
fcis-30581	66	22	comprehensive	comprehensive	ADJ
fcis-30581	66	23	feature	feature	NOUN
fcis-30581	66	24	representation	representation	NOUN
fcis-30581	66	25	that	that	PRON
fcis-30581	66	26	helps	help	VERB
fcis-30581	66	27	the	the	DET
fcis-30581	66	28	model	model	NOUN
fcis-30581	66	29	capture	capture	VERB
fcis-30581	66	30	richer	rich	ADJ
fcis-30581	66	31	target	target	NOUN
fcis-30581	66	32	information	information	NOUN
fcis-30581	66	33	.	.	PUNCT
fcis-30581	67	1	the	the	DET
fcis-30581	67	2	fused	fuse	VERB
fcis-30581	67	3	features	feature	NOUN
fcis-30581	67	4	are	be	AUX
fcis-30581	67	5	then	then	ADV
fcis-30581	67	6	further	far	ADV
fcis-30581	67	7	processed	process	VERB
fcis-30581	67	8	through	through	ADP
fcis-30581	67	9	a	a	DET
fcis-30581	67	10	convolutional	convolutional	ADJ
fcis-30581	67	11	layer	layer	NOUN
fcis-30581	67	12	to	to	PART
fcis-30581	67	13	achieve	achieve	VERB
fcis-30581	67	14	the	the	DET
fcis-30581	67	15	aggregation	aggregation	NOUN
fcis-30581	67	16	of	of	ADP
fcis-30581	67	17	features	feature	NOUN
fcis-30581	67	18	at	at	ADP
fcis-30581	67	19	different	different	ADJ
fcis-30581	67	20	scales	scale	NOUN
fcis-30581	67	21	,	,	PUNCT
fcis-30581	67	22	culminating	culminate	VERB
fcis-30581	67	23	in	in	ADP
fcis-30581	67	24	target	target	NOUN
fcis-30581	67	25	classification	classification	NOUN
fcis-30581	67	26	and	and	CCONJ
fcis-30581	67	27	bounding	bound	VERB
fcis-30581	67	28	box	box	NOUN
fcis-30581	67	29	regression	regression	NOUN
fcis-30581	67	30	prediction	prediction	NOUN
fcis-30581	67	31	.	.	PUNCT
fcis-30581	68	1	this	this	DET
fcis-30581	68	2	multimodal	multimodal	ADJ
fcis-30581	68	3	fusion	fusion	NOUN
fcis-30581	68	4	mechanism	mechanism	NOUN
fcis-30581	68	5	equips	equip	VERB
fcis-30581	68	6	the	the	DET
fcis-30581	68	7	network	network	NOUN
fcis-30581	68	8	with	with	ADP
fcis-30581	68	9	dual	dual	ADJ
fcis-30581	68	10	perceptual	perceptual	ADJ
fcis-30581	68	11	capabilities	capability	NOUN
fcis-30581	68	12	:	:	PUNCT
fcis-30581	68	13	extracting	extract	VERB
fcis-30581	68	14	the	the	DET
fcis-30581	68	15	underlying	underlying	ADJ
fcis-30581	68	16	visual	visual	ADJ
fcis-30581	68	17	features	feature	NOUN
fcis-30581	68	18	(	(	PUNCT
fcis-30581	68	19	e.g.	e.g.	ADV
fcis-30581	68	20	,	,	PUNCT
fcis-30581	68	21	edge	edge	NOUN
fcis-30581	68	22	contours	contours	NOUN
fcis-30581	68	23	and	and	CCONJ
fcis-30581	68	24	texture	texture	ADJ
fcis-30581	68	25	details	detail	NOUN
fcis-30581	68	26	)	)	PUNCT
fcis-30581	68	27	of	of	ADP
fcis-30581	68	28	the	the	DET
fcis-30581	68	29	visible	visible	ADJ
fcis-30581	68	30	image	image	NOUN
fcis-30581	68	31	on	on	ADP
fcis-30581	68	32	the	the	DET
fcis-30581	68	33	one	one	NUM
fcis-30581	68	34	hand	hand	NOUN
fcis-30581	68	35	,	,	PUNCT
fcis-30581	68	36	and	and	CCONJ
fcis-30581	68	37	capturing	capture	VERB
fcis-30581	68	38	the	the	DET
fcis-30581	68	39	thermodynamic	thermodynamic	ADJ
fcis-30581	68	40	features	feature	NOUN
fcis-30581	68	41	(	(	PUNCT
fcis-30581	68	42	including	include	VERB
fcis-30581	68	43	the	the	DET
fcis-30581	68	44	target	target	NOUN
fcis-30581	68	45	temperature	temperature	NOUN
fcis-30581	68	46	distribution	distribution	NOUN
fcis-30581	68	47	and	and	CCONJ
fcis-30581	68	48	thermal	thermal	ADJ
fcis-30581	68	49	radiation	radiation	NOUN
fcis-30581	68	50	patterns	pattern	NOUN
fcis-30581	68	51	)	)	PUNCT
fcis-30581	68	52	of	of	ADP
fcis-30581	68	53	the	the	DET
fcis-30581	68	54	infrared	infrared	ADJ
fcis-30581	68	55	image	image	NOUN
fcis-30581	68	56	on	on	ADP
fcis-30581	68	57	the	the	DET
fcis-30581	68	58	other	other	ADJ
fcis-30581	68	59	.	.	PUNCT
fcis-30581	69	1	in	in	ADP
fcis-30581	69	2	deep	deep	ADJ
fcis-30581	69	3	feature	feature	NOUN
fcis-30581	69	4	learning	learning	NOUN
fcis-30581	69	5	,	,	PUNCT
fcis-30581	69	6	the	the	DET
fcis-30581	69	7	bimodal	bimodal	NOUN
fcis-30581	69	8	information	information	NOUN
fcis-30581	69	9	is	be	AUX
fcis-30581	69	10	complementarily	complementarily	ADV
fcis-30581	69	11	fused	fuse	VERB
fcis-30581	69	12	to	to	PART
fcis-30581	69	13	generate	generate	VERB
fcis-30581	69	14	more	more	ADJ
fcis-30581	69	15	discriminative	discriminative	ADJ
fcis-30581	69	16	high	high	ADJ
fcis-30581	69	17	-	-	PUNCT
fcis-30581	69	18	level	level	NOUN
fcis-30581	69	19	semantic	semantic	ADJ
fcis-30581	69	20	representations	representation	NOUN
fcis-30581	69	21	(	(	PUNCT
fcis-30581	69	22	e.g.	e.g.	ADV
fcis-30581	69	23	,	,	PUNCT
fcis-30581	69	24	target	target	NOUN
fcis-30581	69	25	category	category	NOUN
fcis-30581	69	26	and	and	CCONJ
fcis-30581	69	27	geometric	geometric	ADJ
fcis-30581	69	28	morphology	morphology	NOUN
fcis-30581	69	29	)	)	PUNCT
fcis-30581	69	30	.	.	PUNCT
fcis-30581	70	1	this	this	DET
fcis-30581	70	2	architectural	architectural	ADJ
fcis-30581	70	3	design	design	NOUN
fcis-30581	70	4	retains	retain	VERB
fcis-30581	70	5	the	the	DET
fcis-30581	70	6	high	high	ADJ
fcis-30581	70	7	-	-	PUNCT
fcis-30581	70	8	resolution	resolution	NOUN
fcis-30581	70	9	advantage	advantage	NOUN
fcis-30581	70	10	of	of	ADP
fcis-30581	70	11	visible	visible	ADJ
fcis-30581	70	12	light	light	NOUN
fcis-30581	70	13	under	under	ADP
fcis-30581	70	14	good	good	ADJ
fcis-30581	70	15	lighting	lighting	NOUN
fcis-30581	70	16	conditions	condition	NOUN
fcis-30581	70	17	and	and	CCONJ
fcis-30581	70	18	incorporates	incorporate	VERB
fcis-30581	70	19	the	the	DET
fcis-30581	70	20	stable	stable	ADJ
fcis-30581	70	21	thermal	thermal	ADJ
fcis-30581	70	22	characteristics	characteristic	NOUN
fcis-30581	70	23	of	of	ADP
fcis-30581	70	24	infrared	infrared	NOUN
fcis-30581	70	25	in	in	ADP
fcis-30581	70	26	low	low	ADJ
fcis-30581	70	27	-	-	PUNCT
fcis-30581	70	28	light	light	NOUN
fcis-30581	70	29	environments	environment	NOUN
fcis-30581	70	30	,	,	PUNCT
fcis-30581	70	31	ultimately	ultimately	ADV
fcis-30581	70	32	achieving	achieve	VERB
fcis-30581	70	33	robust	robust	ADJ
fcis-30581	70	34	target	target	NOUN
fcis-30581	70	35	detection	detection	NOUN
fcis-30581	70	36	in	in	ADP
fcis-30581	70	37	complex	complex	ADJ
fcis-30581	70	38	scenes	scene	NOUN
fcis-30581	70	39	.	.	PUNCT
fcis-30581	71	1	3.2	3.2	NUM
fcis-30581	71	2	.	.	PUNCT
fcis-30581	71	3	cbam	cbam	NOUN
fcis-30581	71	4	in	in	ADP
fcis-30581	71	5	crowded	crowded	ADJ
fcis-30581	71	6	areas	area	NOUN
fcis-30581	71	7	in	in	ADP
fcis-30581	71	8	city	city	NOUN
fcis-30581	71	9	centres	centre	NOUN
fcis-30581	71	10	,	,	PUNCT
fcis-30581	71	11	target	target	NOUN
fcis-30581	71	12	detection	detection	NOUN
fcis-30581	71	13	faces	face	VERB
fcis-30581	71	14	many	many	ADJ
fcis-30581	71	15	difficulties	difficulty	NOUN
fcis-30581	71	16	.	.	PUNCT
fcis-30581	72	1	dense	dense	ADJ
fcis-30581	72	2	crowds	crowd	NOUN
fcis-30581	72	3	cause	cause	VERB
fcis-30581	72	4	objects	object	NOUN
fcis-30581	72	5	to	to	PART
fcis-30581	72	6	block	block	VERB
fcis-30581	72	7	each	each	DET
fcis-30581	72	8	other	other	ADJ
fcis-30581	72	9	,	,	PUNCT
fcis-30581	72	10	making	make	VERB
fcis-30581	72	11	the	the	DET
fcis-30581	72	12	target	target	NOUN
fcis-30581	72	13	often	often	ADV
fcis-30581	72	14	appear	appear	VERB
fcis-30581	72	15	mutilated	mutilate	VERB
fcis-30581	72	16	;	;	PUNCT
fcis-30581	72	17	when	when	SCONJ
fcis-30581	72	18	shooting	shoot	VERB
fcis-30581	72	19	from	from	ADP
fcis-30581	72	20	a	a	DET
fcis-30581	72	21	distance	distance	NOUN
fcis-30581	72	22	,	,	PUNCT
fcis-30581	72	23	the	the	DET
fcis-30581	72	24	boundary	boundary	NOUN
fcis-30581	72	25	between	between	ADP
fcis-30581	72	26	the	the	DET
fcis-30581	72	27	small	small	ADJ
fcis-30581	72	28	target	target	NOUN
fcis-30581	72	29	and	and	CCONJ
fcis-30581	72	30	the	the	DET
fcis-30581	72	31	background	background	NOUN
fcis-30581	72	32	is	be	AUX
fcis-30581	72	33	blurred	blur	VERB
fcis-30581	72	34	,	,	PUNCT
fcis-30581	72	35	and	and	CCONJ
fcis-30581	72	36	the	the	DET
fcis-30581	72	37	outline	outline	NOUN
fcis-30581	72	38	is	be	AUX
fcis-30581	72	39	difficult	difficult	ADJ
fcis-30581	72	40	to	to	PART
fcis-30581	72	41	be	be	AUX
fcis-30581	72	42	recognised	recognise	VERB
fcis-30581	72	43	.	.	PUNCT
fcis-30581	73	1	dynamic	dynamic	ADJ
fcis-30581	73	2	targets	target	NOUN
fcis-30581	73	3	,	,	PUNCT
fcis-30581	73	4	such	such	ADJ
fcis-30581	73	5	as	as	ADP
fcis-30581	73	6	vehicles	vehicle	NOUN
fcis-30581	73	7	and	and	CCONJ
fcis-30581	73	8	pedestrians	pedestrian	NOUN
fcis-30581	73	9	,	,	PUNCT
fcis-30581	73	10	have	have	VERB
fcis-30581	73	11	variable	variable	ADJ
fcis-30581	73	12	trajectories	trajectory	NOUN
fcis-30581	73	13	and	and	CCONJ
fcis-30581	73	14	are	be	AUX
fcis-30581	73	15	prone	prone	ADJ
fcis-30581	73	16	to	to	ADP
fcis-30581	73	17	sudden	sudden	ADJ
fcis-30581	73	18	displacements	displacement	NOUN
fcis-30581	73	19	or	or	CCONJ
fcis-30581	73	20	short	short	ADJ
fcis-30581	73	21	-	-	PUNCT
fcis-30581	73	22	term	term	NOUN
fcis-30581	73	23	occlusion	occlusion	NOUN
fcis-30581	73	24	;	;	PUNCT
fcis-30581	73	25	static	static	ADJ
fcis-30581	73	26	targets	target	NOUN
fcis-30581	73	27	,	,	PUNCT
fcis-30581	73	28	such	such	ADJ
fcis-30581	73	29	as	as	ADP
fcis-30581	73	30	road	road	NOUN
fcis-30581	73	31	signs	sign	NOUN
fcis-30581	73	32	,	,	PUNCT
fcis-30581	73	33	are	be	AUX
fcis-30581	73	34	often	often	ADV
fcis-30581	73	35	partially	partially	ADV
fcis-30581	73	36	occluded	occlude	VERB
fcis-30581	73	37	.	.	PUNCT
fcis-30581	74	1	these	these	DET
fcis-30581	74	2	situations	situation	NOUN
fcis-30581	74	3	lead	lead	VERB
fcis-30581	74	4	to	to	ADP
fcis-30581	74	5	incomplete	incomplete	ADJ
fcis-30581	74	6	target	target	NOUN
fcis-30581	74	7	features	feature	NOUN
fcis-30581	74	8	or	or	CCONJ
fcis-30581	74	9	fuzzy	fuzzy	ADJ
fcis-30581	74	10	edges	edge	NOUN
fcis-30581	74	11	,	,	PUNCT
fcis-30581	74	12	which	which	PRON
fcis-30581	74	13	seriously	seriously	ADV
fcis-30581	74	14	affects	affect	VERB
fcis-30581	74	15	the	the	DET
fcis-30581	74	16	recognition	recognition	NOUN
fcis-30581	74	17	and	and	CCONJ
fcis-30581	74	18	localisation	localisation	NOUN
fcis-30581	74	19	accuracy	accuracy	NOUN
fcis-30581	74	20	of	of	ADP
fcis-30581	74	21	the	the	DET
fcis-30581	74	22	detection	detection	NOUN
fcis-30581	74	23	algorithm	algorithm	NOUN
fcis-30581	74	24	.	.	PUNCT
fcis-30581	75	1	in	in	ADP
fcis-30581	75	2	order	order	NOUN
fcis-30581	75	3	to	to	PART
fcis-30581	75	4	solve	solve	VERB
fcis-30581	75	5	this	this	DET
fcis-30581	75	6	problem	problem	NOUN
fcis-30581	75	7	,	,	PUNCT
fcis-30581	75	8	this	this	DET
fcis-30581	75	9	paper	paper	NOUN
fcis-30581	75	10	introduces	introduce	VERB
fcis-30581	75	11	a	a	DET
fcis-30581	75	12	convolutional	convolutional	ADJ
fcis-30581	75	13	attention	attention	NOUN
fcis-30581	75	14	module	module	NOUN
fcis-30581	75	15	cbam	cbam	NOUN
fcis-30581	75	16	,	,	PUNCT
fcis-30581	75	17	which	which	PRON
fcis-30581	75	18	enhances	enhance	VERB
fcis-30581	75	19	the	the	DET
fcis-30581	75	20	representation	representation	NOUN
fcis-30581	75	21	ability	ability	NOUN
fcis-30581	75	22	of	of	ADP
fcis-30581	75	23	the	the	DET
fcis-30581	75	24	network	network	NOUN
fcis-30581	75	25	by	by	ADP
fcis-30581	75	26	focusing	focus	VERB
fcis-30581	75	27	on	on	ADP
fcis-30581	75	28	important	important	ADJ
fcis-30581	75	29	features	feature	NOUN
fcis-30581	75	30	to	to	PART
fcis-30581	75	31	suppress	suppress	VERB
fcis-30581	75	32	unnecessary	unnecessary	ADJ
fcis-30581	75	33	features	feature	NOUN
fcis-30581	75	34	,	,	PUNCT
fcis-30581	75	35	and	and	CCONJ
fcis-30581	75	36	its	its	PRON
fcis-30581	75	37	structure	structure	NOUN
fcis-30581	75	38	is	be	AUX
fcis-30581	75	39	shown	show	VERB
fcis-30581	75	40	in	in	ADP
fcis-30581	75	41	fig	fig	NOUN
fcis-30581	75	42	.	.	PUNCT
fcis-30581	76	1	2	2	X
fcis-30581	76	2	.	.	X
fcis-30581	76	3	since	since	SCONJ
fcis-30581	76	4	convolutional	convolutional	ADJ
fcis-30581	76	5	operations	operation	NOUN
fcis-30581	76	6	extract	extract	VERB
fcis-30581	76	7	informative	informative	ADJ
fcis-30581	76	8	features	feature	NOUN
fcis-30581	76	9	by	by	ADP
fcis-30581	76	10	mixing	mix	VERB
fcis-30581	76	11	cross	cross	ADJ
fcis-30581	76	12	-	-	ADJ
fcis-30581	76	13	channel	channel	ADJ
fcis-30581	76	14	and	and	CCONJ
fcis-30581	76	15	spatial	spatial	ADJ
fcis-30581	76	16	information	information	NOUN
fcis-30581	76	17	,	,	PUNCT
fcis-30581	76	18	the	the	DET
fcis-30581	76	19	module	module	NOUN
fcis-30581	76	20	emphasises	emphasise	VERB
fcis-30581	76	21	meaningful	meaningful	ADJ
fcis-30581	76	22	features	feature	NOUN
fcis-30581	76	23	along	along	ADP
fcis-30581	76	24	these	these	DET
fcis-30581	76	25	two	two	NUM
fcis-30581	76	26	main	main	ADJ
fcis-30581	76	27	dimensions	dimension	NOUN
fcis-30581	76	28	.	.	PUNCT
fcis-30581	77	1	as	as	SCONJ
fcis-30581	77	2	shown	show	VERB
fcis-30581	77	3	in	in	ADP
fcis-30581	77	4	the	the	DET
fcis-30581	77	5	figure	figure	NOUN
fcis-30581	77	6	,	,	PUNCT
fcis-30581	77	7	given	give	VERB
fcis-30581	77	8	the	the	DET
fcis-30581	77	9	intermediate	intermediate	ADJ
fcis-30581	77	10	feature	feature	NOUN
fcis-30581	77	11	map	map	NOUN
fcis-30581	78	1	c	c	NOUN
fcis-30581	78	2	h	h	NOUN
fcis-30581	78	3	wf	wf	PROPN
fcis-30581	78	4	r	r	NOUN
fcis-30581	78	5			NOUN
fcis-30581	78	6			NOUN
fcis-30581	78	7	as	as	ADP
fcis-30581	78	8	input	input	NOUN
fcis-30581	78	9	,	,	PUNCT
fcis-30581	78	10	cbam	cbam	NOUN
fcis-30581	78	11	sequentially	sequentially	ADV
fcis-30581	78	12	infers	infer	VERB
fcis-30581	78	13	a	a	DET
fcis-30581	78	14	one	one	NUM
fcis-30581	78	15	-	-	PUNCT
fcis-30581	78	16	dimensional	dimensional	ADJ
fcis-30581	78	17	channel	channel	NOUN
fcis-30581	78	18	attention	attention	NOUN
fcis-30581	78	19	map	map	NOUN
fcis-30581	78	20	1	1	NUM
fcis-30581	78	21	1c	1c	NUM
fcis-30581	78	22	cm	cm	NOUN
fcis-30581	78	23	r	r	NOUN
fcis-30581	78	24			NOUN
fcis-30581	78	25			NOUN
fcis-30581	78	26	and	and	CCONJ
fcis-30581	78	27	a	a	DET
fcis-30581	78	28	two	two	NUM
fcis-30581	78	29	-	-	PUNCT
fcis-30581	78	30	dimensional	dimensional	ADJ
fcis-30581	78	31	spatial	spatial	ADJ
fcis-30581	78	32	attention	attention	NOUN
fcis-30581	78	33	map	map	NOUN
fcis-30581	79	1	1	1	NUM
fcis-30581	79	2	h	h	NOUN
fcis-30581	79	3	w	w	NOUN
fcis-30581	80	1	sm	sm	INTJ
fcis-30581	81	1	r	r	NOUN
fcis-30581	81	2			NOUN
fcis-30581	81	3			NOUN
fcis-30581	81	4	,	,	PUNCT
fcis-30581	81	5	and	and	CCONJ
fcis-30581	81	6	the	the	DET
fcis-30581	81	7	overall	overall	ADJ
fcis-30581	81	8	attention	attention	NOUN
fcis-30581	81	9	process	process	NOUN
fcis-30581	81	10	can	can	AUX
fcis-30581	81	11	be	be	AUX
fcis-30581	81	12	summarised	summarise	VERB
fcis-30581	81	13	as	as	ADP
fcis-30581	81	14	:	:	PUNCT
fcis-30581	81	15	'	'	PUNCT
fcis-30581	81	16	(	(	PUNCT
fcis-30581	81	17	)	)	PUNCT
fcis-30581	81	18	,	,	PUNCT
fcis-30581	81	19	cf	cf	NOUN
fcis-30581	81	20	m	m	VERB
fcis-30581	81	21	f	f	X
fcis-30581	81	22	f	f	VERB
fcis-30581	81	23			ADJ
fcis-30581	81	24	(	(	PUNCT
fcis-30581	81	25	1	1	NUM
fcis-30581	81	26	)	)	PUNCT
fcis-30581	81	27	''	''	PUNCT
fcis-30581	82	1	(	(	PUNCT
fcis-30581	82	2	'	'	NUM
fcis-30581	82	3	)	)	PUNCT
fcis-30581	82	4	'	'	PUNCT
fcis-30581	82	5	,	,	PUNCT
fcis-30581	82	6	sf	sf	PROPN
fcis-30581	82	7	m	m	VERB
fcis-30581	82	8	f	f	X
fcis-30581	82	9	f	f	VERB
fcis-30581	82	10			INTJ
fcis-30581	82	11	(	(	PUNCT
fcis-30581	82	12	2	2	NUM
fcis-30581	82	13	)	)	PUNCT
fcis-30581	82	14	where	where	SCONJ
fcis-30581	82	15			ADJ
fcis-30581	82	16	denotes	denote	NOUN
fcis-30581	82	17	element	element	NOUN
fcis-30581	82	18	multiplication	multiplication	NOUN
fcis-30581	82	19	.	.	PUNCT
fcis-30581	83	1	during	during	ADP
fcis-30581	83	2	the	the	DET
fcis-30581	83	3	multiplication	multiplication	NOUN
fcis-30581	83	4	,	,	PUNCT
fcis-30581	83	5	the	the	DET
fcis-30581	83	6	attention	attention	NOUN
fcis-30581	83	7	values	value	NOUN
fcis-30581	83	8	are	be	AUX
fcis-30581	83	9	copied	copy	VERB
fcis-30581	83	10	accordingly	accordingly	ADV
fcis-30581	83	11	,	,	PUNCT
fcis-30581	83	12	the	the	DET
fcis-30581	83	13	channel	channel	NOUN
fcis-30581	83	14	attention	attention	NOUN
fcis-30581	83	15	values	value	NOUN
fcis-30581	83	16	are	be	AUX
fcis-30581	83	17	copied	copy	VERB
fcis-30581	83	18	along	along	ADP
fcis-30581	83	19	the	the	DET
fcis-30581	83	20	spatial	spatial	ADJ
fcis-30581	83	21	dimension	dimension	NOUN
fcis-30581	83	22	and	and	CCONJ
fcis-30581	83	23	the	the	DET
fcis-30581	83	24	spatial	spatial	ADJ
fcis-30581	83	25	attention	attention	NOUN
fcis-30581	83	26	values	value	NOUN
fcis-30581	83	27	are	be	AUX
fcis-30581	83	28	copied	copy	VERB
fcis-30581	83	29	along	along	ADP
fcis-30581	83	30	the	the	DET
fcis-30581	83	31	channel	channel	NOUN
fcis-30581	83	32	dimension	dimension	NOUN
fcis-30581	83	33	.	.	PUNCT
fcis-30581	84	1	''	''	PUNCT
fcis-30581	84	2	f	f	PROPN
fcis-30581	84	3	is	be	AUX
fcis-30581	84	4	the	the	DET
fcis-30581	84	5	final	final	ADJ
fcis-30581	84	6	refined	refined	ADJ
fcis-30581	84	7	output	output	NOUN
fcis-30581	84	8	.	.	PUNCT
fcis-30581	85	1	it	it	PRON
fcis-30581	85	2	makes	make	VERB
fcis-30581	85	3	sense	sense	NOUN
fcis-30581	85	4	to	to	PART
fcis-30581	85	5	focus	focus	VERB
fcis-30581	85	6	channel	channel	NOUN
fcis-30581	85	7	attention	attention	NOUN
fcis-30581	85	8	on	on	ADP
fcis-30581	85	9	the	the	DET
fcis-30581	85	10	"	"	PUNCT
fcis-30581	85	11	what	what	PRON
fcis-30581	85	12	"	"	PUNCT
fcis-30581	85	13	of	of	ADP
fcis-30581	85	14	a	a	DET
fcis-30581	85	15	given	give	VERB
fcis-30581	85	16	input	input	NOUN
fcis-30581	85	17	image	image	NOUN
fcis-30581	85	18	.	.	PUNCT
fcis-30581	86	1	cbam	cbam	NOUN
fcis-30581	86	2	first	first	ADV
fcis-30581	86	3	performs	perform	VERB
fcis-30581	86	4	global	global	ADJ
fcis-30581	86	5	averaging	averaging	NOUN
fcis-30581	86	6	and	and	CCONJ
fcis-30581	86	7	max	max	PROPN
fcis-30581	86	8	-	-	PUNCT
fcis-30581	86	9	pooling	pool	VERB
fcis-30581	86	10	operations	operation	NOUN
fcis-30581	86	11	in	in	ADP
fcis-30581	86	12	the	the	DET
fcis-30581	86	13	spatial	spatial	ADJ
fcis-30581	86	14	dimension	dimension	NOUN
fcis-30581	86	15	to	to	PART
fcis-30581	86	16	condense	condense	VERB
fcis-30581	86	17	global	global	ADJ
fcis-30581	86	18	description	description	NOUN
fcis-30581	86	19	vectors	vector	NOUN
fcis-30581	86	20	,	,	PUNCT
fcis-30581	86	21	which	which	PRON
fcis-30581	86	22	capture	capture	VERB
fcis-30581	86	23	the	the	DET
fcis-30581	86	24	global	global	ADJ
fcis-30581	86	25	importance	importance	NOUN
fcis-30581	86	26	of	of	ADP
fcis-30581	86	27	each	each	DET
fcis-30581	86	28	channel	channel	NOUN
fcis-30581	86	29	across	across	ADP
fcis-30581	86	30	the	the	DET
fcis-30581	86	31	feature	feature	NOUN
fcis-30581	86	32	map	map	NOUN
fcis-30581	86	33	.	.	PUNCT
fcis-30581	87	1	subsequently	subsequently	ADV
fcis-30581	87	2	,	,	PUNCT
fcis-30581	87	3	a	a	DET
fcis-30581	87	4	small	small	ADJ
fcis-30581	87	5	fully	fully	ADV
fcis-30581	87	6	-	-	PUNCT
fcis-30581	87	7	connected	connect	VERB
fcis-30581	87	8	neural	neural	ADJ
fcis-30581	87	9	network	network	NOUN
fcis-30581	87	10	is	be	AUX
fcis-30581	87	11	used	use	VERB
fcis-30581	87	12	to	to	PART
fcis-30581	87	13	learn	learn	VERB
fcis-30581	87	14	and	and	CCONJ
fcis-30581	87	15	compute	compute	VERB
fcis-30581	87	16	the	the	DET
fcis-30581	87	17	channel	channel	NOUN
fcis-30581	87	18	importance	importance	NOUN
fcis-30581	87	19	weights	weight	NOUN
fcis-30581	87	20	,	,	PUNCT
fcis-30581	87	21	which	which	PRON
fcis-30581	87	22	are	be	AUX
fcis-30581	87	23	normalised	normalise	VERB
fcis-30581	87	24	by	by	ADP
fcis-30581	87	25	a	a	DET
fcis-30581	87	26	sigmoid	sigmoid	NOUN
fcis-30581	87	27	function	function	NOUN
fcis-30581	87	28	to	to	PART
fcis-30581	87	29	output	output	VERB
fcis-30581	87	30	a	a	DET
fcis-30581	87	31	weight	weight	NOUN
fcis-30581	87	32	92	92	NUM
fcis-30581	87	33	vector	vector	NOUN
fcis-30581	87	34	characterising	characterise	VERB
fcis-30581	87	35	the	the	DET
fcis-30581	87	36	relative	relative	ADJ
fcis-30581	87	37	importance	importance	NOUN
fcis-30581	87	38	of	of	ADP
fcis-30581	87	39	each	each	DET
fcis-30581	87	40	channel	channel	NOUN
fcis-30581	87	41	.	.	PUNCT
fcis-30581	88	1	finally	finally	ADV
fcis-30581	88	2	,	,	PUNCT
fcis-30581	88	3	the	the	DET
fcis-30581	88	4	weight	weight	NOUN
fcis-30581	88	5	vectors	vector	NOUN
fcis-30581	88	6	are	be	AUX
fcis-30581	88	7	applied	apply	VERB
fcis-30581	88	8	to	to	ADP
fcis-30581	88	9	the	the	DET
fcis-30581	88	10	input	input	NOUN
fcis-30581	88	11	feature	feature	NOUN
fcis-30581	88	12	maps	map	NOUN
fcis-30581	88	13	by	by	ADP
fcis-30581	88	14	multiplication	multiplication	NOUN
fcis-30581	88	15	to	to	PART
fcis-30581	88	16	obtain	obtain	VERB
fcis-30581	88	17	a	a	DET
fcis-30581	88	18	once	once	ADV
fcis-30581	88	19	-	-	PUNCT
fcis-30581	88	20	refined	refine	VERB
fcis-30581	88	21	feature	feature	NOUN
fcis-30581	88	22	map	map	NOUN
fcis-30581	88	23	for	for	ADP
fcis-30581	88	24	feature	feature	NOUN
fcis-30581	88	25	response	response	NOUN
fcis-30581	88	26	re	re	ADJ
fcis-30581	88	27	-	-	NOUN
fcis-30581	88	28	weighting	weighting	ADJ
fcis-30581	88	29	.	.	PUNCT
fcis-30581	89	1	in	in	ADP
fcis-30581	89	2	this	this	DET
fcis-30581	89	3	case	case	NOUN
fcis-30581	89	4	,	,	PUNCT
fcis-30581	89	5	the	the	DET
fcis-30581	89	6	channel	channel	NOUN
fcis-30581	89	7	attention	attention	NOUN
fcis-30581	89	8	is	be	AUX
fcis-30581	89	9	calculated	calculate	VERB
fcis-30581	89	10	as	as	ADP
fcis-30581	89	11	:	:	PUNCT
fcis-30581	89	12	1	1	NUM
fcis-30581	89	13	0	0	NUM
fcis-30581	89	14	1	1	NUM
fcis-30581	89	15	0	0	NUM
fcis-30581	89	16	m	m	NOUN
fcis-30581	89	17	a	a	DET
fcis-30581	89	18	x	x	X
fcis-30581	89	19	(	(	PUNCT
fcis-30581	89	20	)	)	PUNCT
fcis-30581	89	21	(	(	PUNCT
fcis-30581	89	22	(	(	PUNCT
fcis-30581	89	23	(	(	PUNCT
fcis-30581	89	24	)	)	PUNCT
fcis-30581	89	25	)	)	PUNCT
fcis-30581	89	26	(	(	PUNCT
fcis-30581	89	27	(	(	PUNCT
fcis-30581	89	28	)	)	PUNCT
fcis-30581	89	29	)	)	PUNCT
fcis-30581	89	30	)	)	PUNCT
fcis-30581	90	1	(	(	PUNCT
fcis-30581	90	2	(	(	PUNCT
fcis-30581	90	3	(	(	PUNCT
fcis-30581	90	4	)	)	PUNCT
fcis-30581	90	5	)	)	PUNCT
fcis-30581	90	6	(	(	PUNCT
fcis-30581	90	7	(	(	PUNCT
fcis-30581	90	8	)	)	PUNCT
fcis-30581	90	9	)	)	PUNCT
fcis-30581	90	10	)	)	PUNCT
fcis-30581	91	1	,	,	PUNCT
fcis-30581	91	2	c	c	NOUN
fcis-30581	91	3	c	c	PROPN
fcis-30581	91	4	c	c	NOUN
fcis-30581	91	5	a	a	DET
fcis-30581	91	6	v	v	NOUN
fcis-30581	91	7	g	g	NOUN
fcis-30581	91	8	m	m	NOUN
fcis-30581	91	9	f	f	NOUN
fcis-30581	91	10	m	m	VERB
fcis-30581	91	11	l	l	NOUN
fcis-30581	91	12	p	p	NOUN
fcis-30581	91	13	a	a	DET
fcis-30581	91	14	v	v	NOUN
fcis-30581	91	15	g	g	NOUN
fcis-30581	91	16	p	p	NOUN
fcis-30581	91	17	o	o	NOUN
fcis-30581	91	18	o	o	X
fcis-30581	91	19	l	l	NOUN
fcis-30581	91	20	f	f	NOUN
fcis-30581	91	21	m	m	VERB
fcis-30581	91	22	l	l	NOUN
fcis-30581	91	23	p	p	NOUN
fcis-30581	91	24	m	m	VERB
fcis-30581	91	25	a	a	DET
fcis-30581	91	26	xp	xp	ADJ
fcis-30581	91	27	o	o	NOUN
fcis-30581	92	1	o	o	X
fcis-30581	92	2	l	l	X
fcis-30581	92	3	f	f	X
fcis-30581	92	4	w	w	PROPN
fcis-30581	92	5	w	w	PROPN
fcis-30581	92	6	f	f	PROPN
fcis-30581	92	7	w	w	PROPN
fcis-30581	92	8	w	w	PROPN
fcis-30581	92	9	f	f	PROPN
fcis-30581	92	10			PROPN
fcis-30581	92	11			PROPN
fcis-30581	92	12			PROPN
fcis-30581	92	13			ADV
fcis-30581	92	14			X
fcis-30581	92	15			X
fcis-30581	92	16	(	(	PUNCT
fcis-30581	92	17	3	3	X
fcis-30581	92	18	)	)	PUNCT
fcis-30581	92	19	fig	fig	NOUN
fcis-30581	92	20	2	2	NUM
fcis-30581	92	21	.	.	PUNCT
fcis-30581	93	1	cbam	cbam	NOUN
fcis-30581	93	2	structure	structure	NOUN
fcis-30581	93	3	where	where	PROPN
fcis-30581	93	4	denotes	denote	VERB
fcis-30581	93	5	the	the	DET
fcis-30581	93	6	sigmoid	sigmoid	NOUN
fcis-30581	93	7	function	function	NOUN
fcis-30581	93	8	,	,	PUNCT
fcis-30581	93	9	,	,	PUNCT
fcis-30581	93	10	/	/	SYM
fcis-30581	93	11	0	0	NUM
fcis-30581	93	12	c	c	NOUN
fcis-30581	93	13	r	r	NOUN
fcis-30581	93	14	cw	cw	NOUN
fcis-30581	93	15	r	r	NOUN
fcis-30581	93	16			NOUN
fcis-30581	93	17	/	/	SYM
fcis-30581	94	1	1	1	NUM
fcis-30581	94	2	c	c	NOUN
fcis-30581	94	3	c	c	NOUN
fcis-30581	94	4	rw	rw	NOUN
fcis-30581	94	5	r	r	NOUN
fcis-30581	94	6			NOUN
fcis-30581	94	7	.	.	PUNCT
fcis-30581	95	1	where	where	SCONJ
fcis-30581	95	2	the	the	DET
fcis-30581	95	3	two	two	NUM
fcis-30581	95	4	input	input	NOUN
fcis-30581	95	5	mlp	mlp	PROPN
fcis-30581	95	6	weights	weight	VERB
fcis-30581	95	7	0w	0w	PROPN
fcis-30581	95	8	and	and	CCONJ
fcis-30581	95	9	1w	1w	NUM
fcis-30581	95	10	are	be	AUX
fcis-30581	95	11	shared	share	VERB
fcis-30581	95	12	and	and	CCONJ
fcis-30581	95	13	the	the	DET
fcis-30581	95	14	relu	relu	NOUN
fcis-30581	95	15	activation	activation	NOUN
fcis-30581	95	16	function	function	NOUN
fcis-30581	95	17	is	be	AUX
fcis-30581	95	18	followed	follow	VERB
fcis-30581	95	19	by	by	ADP
fcis-30581	95	20	0w	0w	PROPN
fcis-30581	95	21	.	.	PUNCT
fcis-30581	96	1	this	this	DET
fcis-30581	96	2	process	process	NOUN
fcis-30581	96	3	not	not	PART
fcis-30581	96	4	only	only	ADV
fcis-30581	96	5	improves	improve	VERB
fcis-30581	96	6	the	the	DET
fcis-30581	96	7	sensitivity	sensitivity	NOUN
fcis-30581	96	8	of	of	ADP
fcis-30581	96	9	the	the	DET
fcis-30581	96	10	model	model	NOUN
fcis-30581	96	11	to	to	ADP
fcis-30581	96	12	the	the	DET
fcis-30581	96	13	key	key	ADJ
fcis-30581	96	14	feature	feature	NOUN
fcis-30581	96	15	channels	channel	NOUN
fcis-30581	96	16	,	,	PUNCT
fcis-30581	96	17	but	but	CCONJ
fcis-30581	96	18	also	also	ADV
fcis-30581	96	19	helps	help	VERB
fcis-30581	96	20	the	the	DET
fcis-30581	96	21	network	network	NOUN
fcis-30581	96	22	to	to	PART
fcis-30581	96	23	dynamically	dynamically	ADV
fcis-30581	96	24	focus	focus	VERB
fcis-30581	96	25	on	on	ADP
fcis-30581	96	26	the	the	DET
fcis-30581	96	27	information	information	NOUN
fcis-30581	96	28	-	-	PUNCT
fcis-30581	96	29	rich	rich	ADJ
fcis-30581	96	30	channels	channel	NOUN
fcis-30581	96	31	to	to	PART
fcis-30581	96	32	enhance	enhance	VERB
fcis-30581	96	33	the	the	DET
fcis-30581	96	34	model	model	NOUN
fcis-30581	96	35	representation	representation	NOUN
fcis-30581	96	36	and	and	CCONJ
fcis-30581	96	37	detection	detection	NOUN
fcis-30581	96	38	performance	performance	NOUN
fcis-30581	96	39	.	.	PUNCT
fcis-30581	97	1	spatial	spatial	ADJ
fcis-30581	97	2	attention	attention	NOUN
fcis-30581	97	3	plays	play	VERB
fcis-30581	97	4	an	an	DET
fcis-30581	97	5	important	important	ADJ
fcis-30581	97	6	role	role	NOUN
fcis-30581	97	7	in	in	ADP
fcis-30581	97	8	deciding	decide	VERB
fcis-30581	97	9	"	"	PUNCT
fcis-30581	97	10	where	where	SCONJ
fcis-30581	97	11	to	to	PART
fcis-30581	97	12	focus	focus	VERB
fcis-30581	97	13	"	"	PUNCT
fcis-30581	97	14	.	.	PUNCT
fcis-30581	98	1	cbam	cbam	NOUN
fcis-30581	98	2	performs	perform	VERB
fcis-30581	98	3	global	global	ADJ
fcis-30581	98	4	averaging	averaging	NOUN
fcis-30581	98	5	and	and	CCONJ
fcis-30581	98	6	maximum	maximum	ADJ
fcis-30581	98	7	pooling	pooling	NOUN
fcis-30581	98	8	in	in	ADP
fcis-30581	98	9	the	the	DET
fcis-30581	98	10	channel	channel	NOUN
fcis-30581	98	11	dimension	dimension	NOUN
fcis-30581	98	12	,	,	PUNCT
fcis-30581	98	13	focuses	focus	VERB
fcis-30581	98	14	on	on	ADP
fcis-30581	98	15	capturing	capture	VERB
fcis-30581	98	16	the	the	DET
fcis-30581	98	17	potential	potential	ADJ
fcis-30581	98	18	information	information	NOUN
fcis-30581	98	19	of	of	ADP
fcis-30581	98	20	the	the	DET
fcis-30581	98	21	target	target	NOUN
fcis-30581	98	22	region	region	NOUN
fcis-30581	98	23	,	,	PUNCT
fcis-30581	98	24	compresses	compress	VERB
fcis-30581	98	25	the	the	DET
fcis-30581	98	26	spatial	spatial	ADJ
fcis-30581	98	27	information	information	NOUN
fcis-30581	98	28	by	by	ADP
fcis-30581	98	29	7×7	7×7	NUM
fcis-30581	98	30	convolution	convolution	NOUN
fcis-30581	98	31	,	,	PUNCT
fcis-30581	98	32	and	and	CCONJ
fcis-30581	98	33	normalises	normalise	VERB
fcis-30581	98	34	it	it	PRON
fcis-30581	98	35	using	use	VERB
fcis-30581	98	36	the	the	DET
fcis-30581	98	37	sigmoid	sigmoid	NOUN
fcis-30581	98	38	function	function	NOUN
fcis-30581	98	39	to	to	PART
fcis-30581	98	40	generate	generate	VERB
fcis-30581	98	41	a	a	DET
fcis-30581	98	42	single	single	ADJ
fcis-30581	98	43	-	-	PUNCT
fcis-30581	98	44	channel	channel	NOUN
fcis-30581	98	45	spatial	spatial	ADJ
fcis-30581	98	46	attention	attention	NOUN
fcis-30581	98	47	map	map	NOUN
fcis-30581	98	48	,	,	PUNCT
fcis-30581	98	49	and	and	CCONJ
fcis-30581	98	50	then	then	ADV
fcis-30581	98	51	multiplies	multiply	VERB
fcis-30581	98	52	the	the	DET
fcis-30581	98	53	spatial	spatial	ADJ
fcis-30581	98	54	attention	attention	NOUN
fcis-30581	98	55	map	map	NOUN
fcis-30581	98	56	with	with	ADP
fcis-30581	98	57	the	the	DET
fcis-30581	98	58	primary	primary	ADJ
fcis-30581	98	59	refined	refined	ADJ
fcis-30581	98	60	feature	feature	NOUN
fcis-30581	98	61	map	map	NOUN
fcis-30581	98	62	and	and	CCONJ
fcis-30581	98	63	weights	weight	VERB
fcis-30581	98	64	the	the	DET
fcis-30581	98	65	features	feature	NOUN
fcis-30581	98	66	again	again	ADV
fcis-30581	98	67	to	to	PART
fcis-30581	98	68	obtain	obtain	VERB
fcis-30581	98	69	the	the	DET
fcis-30581	98	70	secondary	secondary	ADJ
fcis-30581	98	71	refined	refined	ADJ
fcis-30581	98	72	feature	feature	NOUN
fcis-30581	98	73	map	map	NOUN
fcis-30581	98	74	.	.	PUNCT
fcis-30581	99	1	spatial	spatial	ADJ
fcis-30581	99	2	attention	attention	NOUN
fcis-30581	99	3	map	map	NOUN
fcis-30581	99	4	is	be	AUX
fcis-30581	99	5	multiplied	multiply	VERB
fcis-30581	99	6	with	with	ADP
fcis-30581	99	7	the	the	DET
fcis-30581	99	8	primary	primary	ADJ
fcis-30581	99	9	refined	refined	ADJ
fcis-30581	99	10	feature	feature	NOUN
fcis-30581	99	11	map	map	NOUN
fcis-30581	99	12	and	and	CCONJ
fcis-30581	99	13	weighted	weight	VERB
fcis-30581	99	14	features	feature	NOUN
fcis-30581	99	15	again	again	ADV
fcis-30581	99	16	to	to	PART
fcis-30581	99	17	obtain	obtain	VERB
fcis-30581	99	18	the	the	DET
fcis-30581	99	19	secondary	secondary	ADJ
fcis-30581	99	20	refined	refined	ADJ
fcis-30581	99	21	feature	feature	NOUN
fcis-30581	99	22	map	map	NOUN
fcis-30581	99	23	.	.	PUNCT
fcis-30581	100	1	where	where	SCONJ
fcis-30581	100	2	spatial	spatial	ADJ
fcis-30581	100	3	attention	attention	NOUN
fcis-30581	100	4	is	be	AUX
fcis-30581	100	5	calculated	calculate	VERB
fcis-30581	100	6	as	as	ADP
fcis-30581	100	7	:	:	PUNCT
fcis-30581	100	8	7	7	NUM
fcis-30581	100	9	7	7	NUM
fcis-30581	100	10	7	7	NUM
fcis-30581	100	11	7	7	NUM
fcis-30581	100	12	m	m	NOUN
fcis-30581	100	13	a	a	DET
fcis-30581	100	14	x	x	X
fcis-30581	100	15	(	(	PUNCT
fcis-30581	100	16	)	)	PUNCT
fcis-30581	100	17	(	(	PUNCT
fcis-30581	100	18	(	(	PUNCT
fcis-30581	100	19	[	[	PUNCT
fcis-30581	100	20	(	(	PUNCT
fcis-30581	100	21	)	)	PUNCT
fcis-30581	100	22	;	;	PUNCT
fcis-30581	100	23	(	(	PUNCT
fcis-30581	100	24	)	)	PUNCT
fcis-30581	100	25	]	]	PUNCT
fcis-30581	100	26	)	)	PUNCT
fcis-30581	100	27	)	)	PUNCT
fcis-30581	101	1	(	(	PUNCT
fcis-30581	101	2	(	(	PUNCT
fcis-30581	101	3	[	[	PUNCT
fcis-30581	101	4	;	;	PUNCT
fcis-30581	101	5	]	]	PUNCT
fcis-30581	101	6	)	)	PUNCT
fcis-30581	101	7	)	)	PUNCT
fcis-30581	101	8	,	,	PUNCT
fcis-30581	101	9	s	s	VERB
fcis-30581	101	10	s	s	X
fcis-30581	101	11	s	s	X
fcis-30581	101	12	a	a	DET
fcis-30581	101	13	vg	vg	NOUN
fcis-30581	101	14	m	m	NOUN
fcis-30581	101	15	f	f	NOUN
fcis-30581	101	16	f	f	X
fcis-30581	101	17	a	a	DET
fcis-30581	101	18	vg	vg	NOUN
fcis-30581	101	19	p	p	X
fcis-30581	101	20	o	o	NOUN
fcis-30581	101	21	o	o	X
fcis-30581	101	22	l	l	NOUN
fcis-30581	101	23	f	f	VERB
fcis-30581	101	24	m	m	VERB
fcis-30581	101	25	a	a	DET
fcis-30581	101	26	xp	xp	ADJ
fcis-30581	102	1	o	o	NOUN
fcis-30581	102	2	o	o	X
fcis-30581	103	1	l	l	NOUN
fcis-30581	103	2	f	f	X
fcis-30581	104	1	f	f	X
fcis-30581	104	2	f	f	PROPN
fcis-30581	105	1	f	f	PROPN
fcis-30581	105	2			PROPN
fcis-30581	105	3			PROPN
fcis-30581	105	4			PROPN
fcis-30581	105	5			PROPN
fcis-30581	105	6			X
fcis-30581	105	7			X
fcis-30581	105	8	(	(	PUNCT
fcis-30581	105	9	4	4	NUM
fcis-30581	105	10	)	)	PUNCT
fcis-30581	105	11	where	where	NOUN
fcis-30581	105	12	denotes	denote	VERB
fcis-30581	105	13	the	the	DET
fcis-30581	105	14	sigmoid	sigmoid	NOUN
fcis-30581	105	15	function	function	NOUN
fcis-30581	105	16	and	and	CCONJ
fcis-30581	105	17	7	7	NUM
fcis-30581	105	18	7f	7f	NUM
fcis-30581	105	19			NOUN
fcis-30581	105	20	denotes	denote	VERB
fcis-30581	105	21	the	the	DET
fcis-30581	105	22	convolution	convolution	NOUN
fcis-30581	105	23	operation	operation	NOUN
fcis-30581	105	24	with	with	ADP
fcis-30581	105	25	a	a	DET
fcis-30581	105	26	filter	filter	NOUN
fcis-30581	105	27	size	size	NOUN
fcis-30581	105	28	of	of	ADP
fcis-30581	105	29	7×7	7×7	NUM
fcis-30581	105	30	.	.	PUNCT
fcis-30581	106	1	this	this	DET
fcis-30581	106	2	spatial	spatial	ADJ
fcis-30581	106	3	refinement	refinement	NOUN
fcis-30581	106	4	improves	improve	VERB
fcis-30581	106	5	the	the	DET
fcis-30581	106	6	sensitivity	sensitivity	NOUN
fcis-30581	106	7	of	of	ADP
fcis-30581	106	8	the	the	DET
fcis-30581	106	9	network	network	NOUN
fcis-30581	106	10	to	to	ADP
fcis-30581	106	11	key	key	ADJ
fcis-30581	106	12	spatial	spatial	ADJ
fcis-30581	106	13	locations	location	NOUN
fcis-30581	106	14	,	,	PUNCT
fcis-30581	106	15	so	so	SCONJ
fcis-30581	106	16	that	that	SCONJ
fcis-30581	106	17	it	it	PRON
fcis-30581	106	18	focuses	focus	VERB
fcis-30581	106	19	on	on	ADP
fcis-30581	106	20	the	the	DET
fcis-30581	106	21	target	target	NOUN
fcis-30581	106	22	area	area	NOUN
fcis-30581	106	23	and	and	CCONJ
fcis-30581	106	24	enhances	enhance	VERB
fcis-30581	106	25	the	the	DET
fcis-30581	106	26	target	target	NOUN
fcis-30581	106	27	perception	perception	NOUN
fcis-30581	106	28	capability	capability	NOUN
fcis-30581	106	29	of	of	ADP
fcis-30581	106	30	the	the	DET
fcis-30581	106	31	network	network	NOUN
fcis-30581	106	32	.	.	PUNCT
fcis-30581	107	1	in	in	ADP
fcis-30581	107	2	the	the	DET
fcis-30581	107	3	slight	slight	ADJ
fcis-30581	107	4	occlusion	occlusion	NOUN
fcis-30581	107	5	scene	scene	NOUN
fcis-30581	107	6	,	,	PUNCT
fcis-30581	107	7	the	the	DET
fcis-30581	107	8	spatial	spatial	ADJ
fcis-30581	107	9	attention	attention	NOUN
fcis-30581	107	10	can	can	AUX
fcis-30581	107	11	locate	locate	VERB
fcis-30581	107	12	the	the	DET
fcis-30581	107	13	boundary	boundary	ADJ
fcis-30581	107	14	information	information	NOUN
fcis-30581	107	15	of	of	ADP
fcis-30581	107	16	the	the	DET
fcis-30581	107	17	target	target	NOUN
fcis-30581	107	18	object	object	VERB
fcis-30581	107	19	more	more	ADV
fcis-30581	107	20	accurately	accurately	ADV
fcis-30581	107	21	,	,	PUNCT
fcis-30581	107	22	enhance	enhance	VERB
fcis-30581	107	23	the	the	DET
fcis-30581	107	24	feature	feature	NOUN
fcis-30581	107	25	representation	representation	NOUN
fcis-30581	107	26	of	of	ADP
fcis-30581	107	27	the	the	DET
fcis-30581	107	28	target	target	NOUN
fcis-30581	107	29	region	region	NOUN
fcis-30581	107	30	,	,	PUNCT
fcis-30581	107	31	and	and	CCONJ
fcis-30581	107	32	reduce	reduce	VERB
fcis-30581	107	33	the	the	DET
fcis-30581	107	34	feature	feature	NOUN
fcis-30581	107	35	blurring	blur	VERB
fcis-30581	107	36	due	due	ADP
fcis-30581	107	37	to	to	ADP
fcis-30581	107	38	occlusion	occlusion	NOUN
fcis-30581	107	39	;	;	PUNCT
fcis-30581	107	40	in	in	ADP
fcis-30581	107	41	the	the	DET
fcis-30581	107	42	severe	severe	ADJ
fcis-30581	107	43	occlusion	occlusion	NOUN
fcis-30581	107	44	scene	scene	NOUN
fcis-30581	107	45	,	,	PUNCT
fcis-30581	107	46	the	the	DET
fcis-30581	107	47	channel	channel	NOUN
fcis-30581	107	48	attention	attention	NOUN
fcis-30581	107	49	can	can	AUX
fcis-30581	107	50	highlight	highlight	VERB
fcis-30581	107	51	the	the	DET
fcis-30581	107	52	key	key	ADJ
fcis-30581	107	53	feature	feature	NOUN
fcis-30581	107	54	channels	channel	NOUN
fcis-30581	107	55	in	in	ADP
fcis-30581	107	56	the	the	DET
fcis-30581	107	57	unoccluded	unoccluded	ADJ
fcis-30581	107	58	part	part	NOUN
fcis-30581	107	59	,	,	PUNCT
fcis-30581	107	60	providing	provide	VERB
fcis-30581	107	61	strong	strong	ADJ
fcis-30581	107	62	support	support	NOUN
fcis-30581	107	63	for	for	ADP
fcis-30581	107	64	the	the	DET
fcis-30581	107	65	subsequent	subsequent	ADJ
fcis-30581	107	66	inference	inference	NOUN
fcis-30581	107	67	,	,	PUNCT
fcis-30581	107	68	while	while	SCONJ
fcis-30581	107	69	effectively	effectively	ADV
fcis-30581	107	70	suppressing	suppress	VERB
fcis-30581	107	71	the	the	DET
fcis-30581	107	72	interference	interference	NOUN
fcis-30581	107	73	of	of	ADP
fcis-30581	107	74	background	background	NOUN
fcis-30581	107	75	noise	noise	NOUN
fcis-30581	107	76	on	on	ADP
fcis-30581	107	77	detection	detection	NOUN
fcis-30581	107	78	.	.	PUNCT
fcis-30581	108	1	the	the	DET
fcis-30581	108	2	introduction	introduction	NOUN
fcis-30581	108	3	of	of	ADP
fcis-30581	108	4	the	the	DET
fcis-30581	108	5	cbam	cbam	NOUN
fcis-30581	108	6	module	module	NOUN
fcis-30581	108	7	in	in	ADP
fcis-30581	108	8	the	the	DET
fcis-30581	108	9	backbone	backbone	NOUN
fcis-30581	108	10	of	of	ADP
fcis-30581	108	11	the	the	DET
fcis-30581	108	12	yolov8	yolov8	NOUN
fcis-30581	108	13	network	network	NOUN
fcis-30581	108	14	structure	structure	NOUN
fcis-30581	108	15	optimises	optimise	VERB
fcis-30581	108	16	the	the	DET
fcis-30581	108	17	distribution	distribution	NOUN
fcis-30581	108	18	of	of	ADP
fcis-30581	108	19	the	the	DET
fcis-30581	108	20	attention	attention	NOUN
fcis-30581	108	21	of	of	ADP
fcis-30581	108	22	the	the	DET
fcis-30581	108	23	feature	feature	NOUN
fcis-30581	108	24	map	map	NOUN
fcis-30581	108	25	,	,	PUNCT
fcis-30581	108	26	mitigates	mitigate	VERB
fcis-30581	108	27	the	the	DET
fcis-30581	108	28	interference	interference	NOUN
fcis-30581	108	29	of	of	ADP
fcis-30581	108	30	noise	noise	NOUN
fcis-30581	108	31	,	,	PUNCT
fcis-30581	108	32	enhances	enhance	VERB
fcis-30581	108	33	the	the	DET
fcis-30581	108	34	model	model	NOUN
fcis-30581	108	35	's	's	PART
fcis-30581	108	36	ability	ability	NOUN
fcis-30581	108	37	to	to	PART
fcis-30581	108	38	represent	represent	VERB
fcis-30581	108	39	the	the	DET
fcis-30581	108	40	features	feature	NOUN
fcis-30581	108	41	of	of	ADP
fcis-30581	108	42	the	the	DET
fcis-30581	108	43	occluded	occluded	ADJ
fcis-30581	108	44	objects	object	NOUN
fcis-30581	108	45	,	,	PUNCT
fcis-30581	108	46	and	and	CCONJ
fcis-30581	108	47	helps	help	VERB
fcis-30581	108	48	the	the	DET
fcis-30581	108	49	model	model	NOUN
fcis-30581	108	50	to	to	PART
fcis-30581	108	51	further	far	ADV
fcis-30581	108	52	understand	understand	VERB
fcis-30581	108	53	the	the	DET
fcis-30581	108	54	image	image	NOUN
fcis-30581	108	55	contextual	contextual	ADJ
fcis-30581	108	56	information	information	NOUN
fcis-30581	108	57	,	,	PUNCT
fcis-30581	108	58	and	and	CCONJ
fcis-30581	108	59	then	then	ADV
fcis-30581	108	60	achieve	achieve	VERB
fcis-30581	108	61	the	the	DET
fcis-30581	108	62	effective	effective	ADJ
fcis-30581	108	63	detection	detection	NOUN
fcis-30581	108	64	and	and	CCONJ
fcis-30581	108	65	identification	identification	NOUN
fcis-30581	108	66	of	of	ADP
fcis-30581	108	67	the	the	DET
fcis-30581	108	68	occluded	occluded	ADJ
fcis-30581	108	69	objects	object	NOUN
fcis-30581	108	70	.	.	PUNCT
fcis-30581	108	71	3.3	3.3	NUM
fcis-30581	108	72	.	.	PUNCT
fcis-30581	109	1	dbb	dbb	PROPN
fcis-30581	109	2	in	in	ADP
fcis-30581	109	3	complex	complex	ADJ
fcis-30581	109	4	and	and	CCONJ
fcis-30581	109	5	changing	change	VERB
fcis-30581	109	6	scenes	scene	NOUN
fcis-30581	109	7	,	,	PUNCT
fcis-30581	109	8	the	the	DET
fcis-30581	109	9	visual	visual	ADJ
fcis-30581	109	10	feature	feature	NOUN
fcis-30581	109	11	recognition	recognition	NOUN
fcis-30581	109	12	performance	performance	NOUN
fcis-30581	109	13	of	of	ADP
fcis-30581	109	14	the	the	DET
fcis-30581	109	15	network	network	NOUN
fcis-30581	109	16	will	will	AUX
fcis-30581	109	17	be	be	AUX
fcis-30581	109	18	significantly	significantly	ADV
fcis-30581	109	19	reduced	reduce	VERB
fcis-30581	109	20	.	.	PUNCT
fcis-30581	110	1	taking	take	VERB
fcis-30581	110	2	traffic	traffic	NOUN
fcis-30581	110	3	peaks	peak	NOUN
fcis-30581	110	4	or	or	CCONJ
fcis-30581	110	5	holidays	holiday	NOUN
fcis-30581	110	6	as	as	ADP
fcis-30581	110	7	an	an	DET
fcis-30581	110	8	example	example	NOUN
fcis-30581	110	9	,	,	PUNCT
fcis-30581	110	10	objects	object	NOUN
fcis-30581	110	11	of	of	ADP
fcis-30581	110	12	different	different	ADJ
fcis-30581	110	13	scales	scale	NOUN
fcis-30581	110	14	in	in	ADP
fcis-30581	110	15	dense	dense	ADJ
fcis-30581	110	16	crowds	crowd	NOUN
fcis-30581	110	17	intertwine	intertwine	VERB
fcis-30581	110	18	with	with	ADP
fcis-30581	110	19	each	each	DET
fcis-30581	110	20	other	other	ADJ
fcis-30581	110	21	to	to	PART
fcis-30581	110	22	form	form	VERB
fcis-30581	110	23	intricate	intricate	ADJ
fcis-30581	110	24	spatial	spatial	ADJ
fcis-30581	110	25	relationships	relationship	NOUN
fcis-30581	110	26	,	,	PUNCT
fcis-30581	110	27	which	which	PRON
fcis-30581	110	28	greatly	greatly	ADV
fcis-30581	110	29	increases	increase	VERB
fcis-30581	110	30	the	the	DET
fcis-30581	110	31	difficulty	difficulty	NOUN
fcis-30581	110	32	of	of	ADP
fcis-30581	110	33	target	target	NOUN
fcis-30581	110	34	recognition	recognition	NOUN
fcis-30581	110	35	.	.	PUNCT
fcis-30581	111	1	to	to	PART
fcis-30581	111	2	solve	solve	VERB
fcis-30581	111	3	this	this	DET
fcis-30581	111	4	problem	problem	NOUN
fcis-30581	111	5	,	,	PUNCT
fcis-30581	111	6	we	we	PRON
fcis-30581	111	7	introduce	introduce	VERB
fcis-30581	111	8	a	a	DET
fcis-30581	111	9	multivariate	multivariate	NOUN
fcis-30581	111	10	branching	branch	VERB
fcis-30581	111	11	block	block	NOUN
fcis-30581	111	12	dbb	dbb	PROPN
fcis-30581	111	13	,	,	PUNCT
fcis-30581	111	14	which	which	PRON
fcis-30581	111	15	is	be	AUX
fcis-30581	111	16	used	use	VERB
fcis-30581	111	17	to	to	PART
fcis-30581	111	18	replace	replace	VERB
fcis-30581	111	19	the	the	DET
fcis-30581	111	20	conv	conv	ADJ
fcis-30581	111	21	operation	operation	NOUN
fcis-30581	111	22	to	to	PART
fcis-30581	111	23	enrich	enrich	VERB
fcis-30581	111	24	the	the	DET
fcis-30581	111	25	feature	feature	NOUN
fcis-30581	111	26	space	space	NOUN
fcis-30581	111	27	by	by	ADP
fcis-30581	111	28	combining	combine	VERB
fcis-30581	111	29	different	different	ADJ
fcis-30581	111	30	branches	branch	NOUN
fcis-30581	111	31	with	with	ADP
fcis-30581	111	32	different	different	ADJ
fcis-30581	111	33	scales	scale	NOUN
fcis-30581	111	34	and	and	CCONJ
fcis-30581	111	35	complexities	complexity	NOUN
fcis-30581	111	36	,	,	PUNCT
fcis-30581	111	37	and	and	CCONJ
fcis-30581	111	38	its	its	PRON
fcis-30581	111	39	structure	structure	NOUN
fcis-30581	111	40	is	be	AUX
fcis-30581	111	41	shown	show	VERB
fcis-30581	111	42	in	in	ADP
fcis-30581	111	43	fig	fig	NOUN
fcis-30581	111	44	.	.	PUNCT
fcis-30581	112	1	3	3	X
fcis-30581	112	2	.	.	X
fcis-30581	112	3	dbb	dbb	PROPN
fcis-30581	112	4	,	,	PUNCT
fcis-30581	112	5	short	short	ADJ
fcis-30581	112	6	for	for	ADP
fcis-30581	112	7	diverse	diverse	ADJ
fcis-30581	112	8	branch	branch	NOUN
fcis-30581	112	9	block	block	NOUN
fcis-30581	112	10	,	,	PUNCT
fcis-30581	112	11	improves	improve	VERB
fcis-30581	112	12	performance	performance	NOUN
fcis-30581	112	13	by	by	ADP
fcis-30581	112	14	increasing	increase	VERB
fcis-30581	112	15	the	the	DET
fcis-30581	112	16	complexity	complexity	NOUN
fcis-30581	112	17	and	and	CCONJ
fcis-30581	112	18	multi	multi	ADJ
fcis-30581	112	19	-	-	ADJ
fcis-30581	112	20	scale	scale	ADJ
fcis-30581	112	21	representation	representation	NOUN
fcis-30581	112	22	capability	capability	NOUN
fcis-30581	112	23	of	of	ADP
fcis-30581	112	24	the	the	DET
fcis-30581	112	25	network	network	NOUN
fcis-30581	112	26	during	during	ADP
fcis-30581	112	27	training	training	NOUN
fcis-30581	112	28	,	,	PUNCT
fcis-30581	112	29	and	and	CCONJ
fcis-30581	112	30	reduces	reduce	VERB
fcis-30581	112	31	the	the	DET
fcis-30581	112	32	network	network	NOUN
fcis-30581	112	33	complexity	complexity	NOUN
fcis-30581	112	34	through	through	ADP
fcis-30581	112	35	transformation	transformation	NOUN
fcis-30581	112	36	operations	operation	NOUN
fcis-30581	112	37	during	during	ADP
fcis-30581	112	38	inference	inference	NOUN
fcis-30581	112	39	to	to	PART
fcis-30581	112	40	achieve	achieve	VERB
fcis-30581	112	41	performance	performance	NOUN
fcis-30581	112	42	improvement	improvement	NOUN
fcis-30581	112	43	without	without	ADP
fcis-30581	112	44	additional	additional	ADJ
fcis-30581	112	45	inference	inference	NOUN
fcis-30581	112	46	cost	cost	NOUN
fcis-30581	112	47	.	.	PUNCT
fcis-30581	113	1	this	this	DET
fcis-30581	113	2	multibranch	multibranch	ADJ
fcis-30581	113	3	topology	topology	NOUN
fcis-30581	113	4	using	use	VERB
fcis-30581	113	5	path	path	NOUN
fcis-30581	113	6	operations	operation	NOUN
fcis-30581	113	7	with	with	ADP
fcis-30581	113	8	different	different	ADJ
fcis-30581	113	9	acceptance	acceptance	NOUN
fcis-30581	113	10	domains	domain	NOUN
fcis-30581	113	11	and	and	CCONJ
fcis-30581	113	12	different	different	ADJ
fcis-30581	113	13	levels	level	NOUN
fcis-30581	113	14	of	of	ADP
fcis-30581	113	15	complexity	complexity	NOUN
fcis-30581	113	16	can	can	AUX
fcis-30581	113	17	enrich	enrich	VERB
fcis-30581	113	18	the	the	DET
fcis-30581	113	19	image	image	NOUN
fcis-30581	113	20	features	feature	VERB
fcis-30581	113	21	.	.	PUNCT
fcis-30581	114	1	in	in	ADP
fcis-30581	114	2	the	the	DET
fcis-30581	114	3	training	training	NOUN
fcis-30581	114	4	phase	phase	NOUN
fcis-30581	114	5	,	,	PUNCT
fcis-30581	114	6	the	the	DET
fcis-30581	114	7	input	input	NOUN
fcis-30581	114	8	feature	feature	NOUN
fcis-30581	114	9	maps	map	NOUN
fcis-30581	114	10	are	be	AUX
fcis-30581	114	11	first	first	ADV
fcis-30581	114	12	fed	feed	VERB
fcis-30581	114	13	into	into	ADP
fcis-30581	114	14	multiple	multiple	ADJ
fcis-30581	114	15	branches	branch	NOUN
fcis-30581	114	16	in	in	ADP
fcis-30581	114	17	the	the	DET
fcis-30581	114	18	dbb	dbb	PROPN
fcis-30581	114	19	,	,	PUNCT
fcis-30581	114	20	and	and	CCONJ
fcis-30581	114	21	each	each	DET
fcis-30581	114	22	branch	branch	NOUN
fcis-30581	114	23	performs	perform	VERB
fcis-30581	114	24	a	a	DET
fcis-30581	114	25	different	different	ADJ
fcis-30581	114	26	operation	operation	NOUN
fcis-30581	114	27	.	.	PUNCT
fcis-30581	115	1	the	the	DET
fcis-30581	115	2	standard	standard	ADJ
fcis-30581	115	3	convolutional	convolutional	ADJ
fcis-30581	115	4	branch	branch	NOUN
fcis-30581	115	5	performs	perform	VERB
fcis-30581	115	6	regular	regular	ADJ
fcis-30581	115	7	k×k	k×k	PROPN
fcis-30581	115	8	convolution	convolution	NOUN
fcis-30581	115	9	to	to	PART
fcis-30581	115	10	obtain	obtain	VERB
fcis-30581	115	11	feature	feature	NOUN
fcis-30581	115	12	information	information	NOUN
fcis-30581	115	13	;	;	PUNCT
fcis-30581	115	14	the	the	DET
fcis-30581	115	15	sequence	sequence	NOUN
fcis-30581	115	16	convolutional	convolutional	ADJ
fcis-30581	115	17	branch	branch	NOUN
fcis-30581	115	18	employs	employ	VERB
fcis-30581	115	19	1×1	1×1	NUM
fcis-30581	115	20	convolution	convolution	NOUN
fcis-30581	115	21	,	,	PUNCT
fcis-30581	115	22	which	which	PRON
fcis-30581	115	23	is	be	AUX
fcis-30581	115	24	used	use	VERB
fcis-30581	115	25	to	to	PART
fcis-30581	115	26	reduce	reduce	VERB
fcis-30581	115	27	the	the	DET
fcis-30581	115	28	number	number	NOUN
fcis-30581	115	29	of	of	ADP
fcis-30581	115	30	parameters	parameter	NOUN
fcis-30581	115	31	while	while	SCONJ
fcis-30581	115	32	maintaining	maintain	VERB
fcis-30581	115	33	the	the	DET
fcis-30581	115	34	expressive	expressive	ADJ
fcis-30581	115	35	power	power	NOUN
fcis-30581	115	36	of	of	ADP
fcis-30581	115	37	the	the	DET
fcis-30581	115	38	network	network	NOUN
fcis-30581	115	39	;	;	PUNCT
fcis-30581	115	40	the	the	DET
fcis-30581	115	41	average	average	ADJ
fcis-30581	115	42	pooling	pool	VERB
fcis-30581	115	43	branch	branch	NOUN
fcis-30581	115	44	employs	employ	VERB
fcis-30581	115	45	average	average	ADJ
fcis-30581	115	46	pooling	pooling	NOUN
fcis-30581	115	47	with	with	ADP
fcis-30581	115	48	1×1	1×1	NUM
fcis-30581	115	49	convolution	convolution	NOUN
fcis-30581	115	50	,	,	PUNCT
fcis-30581	115	51	which	which	PRON
fcis-30581	115	52	is	be	AUX
fcis-30581	115	53	used	use	VERB
fcis-30581	115	54	to	to	ADP
fcis-30581	115	55	93	93	NUM
fcis-30581	115	56	capture	capture	VERB
fcis-30581	115	57	a	a	DET
fcis-30581	115	58	wider	wide	ADJ
fcis-30581	115	59	range	range	NOUN
fcis-30581	115	60	of	of	ADP
fcis-30581	115	61	context	context	NOUN
fcis-30581	115	62	information	information	NOUN
fcis-30581	115	63	;	;	PUNCT
fcis-30581	115	64	and	and	CCONJ
fcis-30581	115	65	the	the	DET
fcis-30581	115	66	multiscale	multiscale	ADJ
fcis-30581	115	67	convolutional	convolutional	ADJ
fcis-30581	115	68	branch	branch	NOUN
fcis-30581	115	69	employs	employ	VERB
fcis-30581	115	70	k×1	k×1	NOUN
fcis-30581	115	71	convolution	convolution	NOUN
fcis-30581	115	72	,	,	PUNCT
fcis-30581	115	73	which	which	PRON
fcis-30581	115	74	is	be	AUX
fcis-30581	115	75	used	use	VERB
fcis-30581	115	76	for	for	ADP
fcis-30581	115	77	the	the	DET
fcis-30581	115	78	multi	multi	ADJ
fcis-30581	115	79	-	-	ADJ
fcis-30581	115	80	scale	scale	ADJ
fcis-30581	115	81	convolutional	convolutional	ADJ
fcis-30581	115	82	branch	branch	NOUN
fcis-30581	115	83	.	.	PUNCT
fcis-30581	116	1	scale	scale	NOUN
fcis-30581	116	2	convolution	convolution	NOUN
fcis-30581	116	3	branch	branch	NOUN
fcis-30581	116	4	uses	use	VERB
fcis-30581	116	5	k×k	k×k	PROPN
fcis-30581	116	6	convolution	convolution	NOUN
fcis-30581	116	7	and	and	CCONJ
fcis-30581	116	8	1×1	1×1	NUM
fcis-30581	116	9	convolution	convolution	NOUN
fcis-30581	116	10	to	to	PART
fcis-30581	116	11	capture	capture	VERB
fcis-30581	116	12	features	feature	NOUN
fcis-30581	116	13	at	at	ADP
fcis-30581	116	14	different	different	ADJ
fcis-30581	116	15	scales	scale	NOUN
fcis-30581	116	16	.	.	PUNCT
fcis-30581	117	1	finally	finally	ADV
fcis-30581	117	2	,	,	PUNCT
fcis-30581	117	3	the	the	DET
fcis-30581	117	4	features	feature	NOUN
fcis-30581	117	5	of	of	ADP
fcis-30581	117	6	each	each	DET
fcis-30581	117	7	branch	branch	NOUN
fcis-30581	117	8	are	be	AUX
fcis-30581	117	9	fused	fuse	VERB
fcis-30581	117	10	to	to	PART
fcis-30581	117	11	form	form	VERB
fcis-30581	117	12	the	the	DET
fcis-30581	117	13	final	final	ADJ
fcis-30581	117	14	output	output	NOUN
fcis-30581	117	15	.	.	PUNCT
fcis-30581	118	1	the	the	DET
fcis-30581	118	2	application	application	NOUN
fcis-30581	118	3	of	of	ADP
fcis-30581	118	4	diversified	diversified	ADJ
fcis-30581	118	5	branching	branch	VERB
fcis-30581	118	6	structure	structure	NOUN
fcis-30581	118	7	can	can	AUX
fcis-30581	118	8	greatly	greatly	ADV
fcis-30581	118	9	enhance	enhance	VERB
fcis-30581	118	10	the	the	DET
fcis-30581	118	11	feature	feature	NOUN
fcis-30581	118	12	extraction	extraction	NOUN
fcis-30581	118	13	capability	capability	NOUN
fcis-30581	118	14	of	of	ADP
fcis-30581	118	15	the	the	DET
fcis-30581	118	16	model	model	NOUN
fcis-30581	118	17	.	.	PUNCT
fcis-30581	119	1	in	in	ADP
fcis-30581	119	2	the	the	DET
fcis-30581	119	3	inference	inference	NOUN
fcis-30581	119	4	stage	stage	NOUN
fcis-30581	119	5	,	,	PUNCT
fcis-30581	119	6	the	the	DET
fcis-30581	119	7	dbb	dbb	PROPN
fcis-30581	119	8	module	module	NOUN
fcis-30581	119	9	performs	perform	VERB
fcis-30581	119	10	a	a	DET
fcis-30581	119	11	series	series	NOUN
fcis-30581	119	12	of	of	ADP
fcis-30581	119	13	equivalent	equivalent	ADJ
fcis-30581	119	14	transformations	transformation	NOUN
fcis-30581	119	15	for	for	ADP
fcis-30581	119	16	parameter	parameter	NOUN
fcis-30581	119	17	recomputation	recomputation	NOUN
fcis-30581	119	18	through	through	ADP
fcis-30581	119	19	the	the	DET
fcis-30581	119	20	linear	linear	ADJ
fcis-30581	119	21	property	property	NOUN
fcis-30581	119	22	of	of	ADP
fcis-30581	119	23	convolution	convolution	NOUN
fcis-30581	119	24	operations	operation	NOUN
fcis-30581	119	25	,	,	PUNCT
fcis-30581	119	26	and	and	CCONJ
fcis-30581	119	27	uses	use	VERB
fcis-30581	119	28	structural	structural	ADJ
fcis-30581	119	29	reparameterisation	reparameterisation	NOUN
fcis-30581	119	30	to	to	PART
fcis-30581	119	31	merge	merge	VERB
fcis-30581	119	32	multiple	multiple	ADJ
fcis-30581	119	33	branches	branch	NOUN
fcis-30581	119	34	into	into	ADP
fcis-30581	119	35	a	a	DET
fcis-30581	119	36	single	single	ADJ
fcis-30581	119	37	standard	standard	ADJ
fcis-30581	119	38	convolutional	convolutional	ADJ
fcis-30581	119	39	layer	layer	NOUN
fcis-30581	119	40	.	.	PUNCT
fcis-30581	120	1	fig	fig	NOUN
fcis-30581	120	2	3	3	NUM
fcis-30581	120	3	.	.	PUNCT
fcis-30581	121	1	dbb	dbb	PROPN
fcis-30581	121	2	structure	structure	NOUN
fcis-30581	121	3	diagram	diagram	NOUN
fcis-30581	121	4	by	by	ADP
fcis-30581	121	5	adding	add	VERB
fcis-30581	121	6	this	this	DET
fcis-30581	121	7	module	module	NOUN
fcis-30581	121	8	,	,	PUNCT
fcis-30581	121	9	the	the	DET
fcis-30581	121	10	model	model	NOUN
fcis-30581	121	11	can	can	AUX
fcis-30581	121	12	be	be	AUX
fcis-30581	121	13	trained	train	VERB
fcis-30581	121	14	to	to	PART
fcis-30581	121	15	reach	reach	VERB
fcis-30581	121	16	a	a	DET
fcis-30581	121	17	higher	high	ADJ
fcis-30581	121	18	performance	performance	NOUN
fcis-30581	121	19	level	level	NOUN
fcis-30581	121	20	,	,	PUNCT
fcis-30581	121	21	and	and	CCONJ
fcis-30581	121	22	then	then	ADV
fcis-30581	121	23	converted	convert	VERB
fcis-30581	121	24	to	to	ADP
fcis-30581	121	25	the	the	DET
fcis-30581	121	26	original	original	ADJ
fcis-30581	121	27	inference	inference	NOUN
fcis-30581	121	28	time	time	NOUN
fcis-30581	121	29	structure	structure	NOUN
fcis-30581	121	30	for	for	ADP
fcis-30581	121	31	inference	inference	NOUN
fcis-30581	121	32	,	,	PUNCT
fcis-30581	121	33	so	so	SCONJ
fcis-30581	121	34	that	that	SCONJ
fcis-30581	121	35	the	the	DET
fcis-30581	121	36	model	model	NOUN
fcis-30581	121	37	can	can	AUX
fcis-30581	121	38	be	be	AUX
fcis-30581	121	39	more	more	ADV
fcis-30581	121	40	flexible	flexible	ADJ
fcis-30581	121	41	and	and	CCONJ
fcis-30581	121	42	effective	effective	ADJ
fcis-30581	121	43	in	in	ADP
fcis-30581	121	44	dealing	deal	VERB
fcis-30581	121	45	with	with	ADP
fcis-30581	121	46	targets	target	NOUN
fcis-30581	121	47	at	at	ADP
fcis-30581	121	48	different	different	ADJ
fcis-30581	121	49	scales	scale	NOUN
fcis-30581	121	50	,	,	PUNCT
fcis-30581	121	51	especially	especially	ADV
fcis-30581	121	52	in	in	ADP
fcis-30581	121	53	the	the	DET
fcis-30581	121	54	face	face	NOUN
fcis-30581	121	55	of	of	ADP
fcis-30581	121	56	complex	complex	ADJ
fcis-30581	121	57	backgrounds	background	NOUN
fcis-30581	121	58	and	and	CCONJ
fcis-30581	121	59	occlusions	occlusion	NOUN
fcis-30581	121	60	,	,	PUNCT
fcis-30581	121	61	and	and	CCONJ
fcis-30581	121	62	can	can	AUX
fcis-30581	121	63	better	well	ADV
fcis-30581	121	64	extract	extract	VERB
fcis-30581	121	65	effective	effective	ADJ
fcis-30581	121	66	features	feature	NOUN
fcis-30581	121	67	.	.	PUNCT
fcis-30581	122	1	meanwhile	meanwhile	ADV
fcis-30581	122	2	,	,	PUNCT
fcis-30581	122	3	the	the	DET
fcis-30581	122	4	dbb	dbb	PROPN
fcis-30581	122	5	module	module	NOUN
fcis-30581	122	6	adopts	adopt	VERB
fcis-30581	122	7	a	a	DET
fcis-30581	122	8	more	more	ADV
fcis-30581	122	9	efficient	efficient	ADJ
fcis-30581	122	10	convolutional	convolutional	ADJ
fcis-30581	122	11	structure	structure	NOUN
fcis-30581	122	12	,	,	PUNCT
fcis-30581	122	13	which	which	PRON
fcis-30581	122	14	reduces	reduce	VERB
fcis-30581	122	15	redundant	redundant	ADJ
fcis-30581	122	16	computation	computation	NOUN
fcis-30581	122	17	and	and	CCONJ
fcis-30581	122	18	significantly	significantly	ADV
fcis-30581	122	19	improves	improve	VERB
fcis-30581	122	20	the	the	DET
fcis-30581	122	21	computational	computational	ADJ
fcis-30581	122	22	efficiency	efficiency	NOUN
fcis-30581	122	23	of	of	ADP
fcis-30581	122	24	the	the	DET
fcis-30581	122	25	model	model	NOUN
fcis-30581	122	26	while	while	SCONJ
fcis-30581	122	27	ensuring	ensure	VERB
fcis-30581	122	28	the	the	DET
fcis-30581	122	29	feature	feature	NOUN
fcis-30581	122	30	extraction	extraction	NOUN
fcis-30581	122	31	capability	capability	NOUN
fcis-30581	122	32	.	.	PUNCT
fcis-30581	123	1	4	4	X
fcis-30581	123	2	.	.	X
fcis-30581	123	3	experiments	experiment	NOUN
fcis-30581	123	4	and	and	CCONJ
fcis-30581	123	5	analysis	analysis	NOUN
fcis-30581	123	6	of	of	ADP
fcis-30581	123	7	results	result	NOUN
fcis-30581	123	8	4.1	4.1	NUM
fcis-30581	123	9	.	.	PUNCT
fcis-30581	124	1	data	datum	NOUN
fcis-30581	124	2	sets	set	VERB
fcis-30581	124	3	this	this	DET
fcis-30581	124	4	experiment	experiment	NOUN
fcis-30581	124	5	uses	use	VERB
fcis-30581	124	6	the	the	DET
fcis-30581	124	7	m3fd	m3fd	ADJ
fcis-30581	124	8	[	[	X
fcis-30581	124	9	17	17	NUM
fcis-30581	124	10	]	]	PUNCT
fcis-30581	124	11	dataset	dataset	NOUN
fcis-30581	124	12	.	.	PUNCT
fcis-30581	125	1	the	the	DET
fcis-30581	125	2	m3fd	m3fd	ADJ
fcis-30581	125	3	dataset	dataset	NOUN
fcis-30581	125	4	was	be	AUX
fcis-30581	125	5	collected	collect	VERB
fcis-30581	125	6	using	use	VERB
fcis-30581	125	7	a	a	DET
fcis-30581	125	8	simultaneous	simultaneous	ADJ
fcis-30581	125	9	imaging	imaging	NOUN
fcis-30581	125	10	system	system	NOUN
fcis-30581	125	11	constructed	construct	VERB
fcis-30581	125	12	from	from	ADP
fcis-30581	125	13	well	well	ADV
fcis-30581	125	14	-	-	PUNCT
fcis-30581	125	15	calibrated	calibrate	VERB
fcis-30581	125	16	infrared	infrared	ADJ
fcis-30581	125	17	and	and	CCONJ
fcis-30581	125	18	optical	optical	ADJ
fcis-30581	125	19	sensors	sensor	NOUN
fcis-30581	125	20	covering	cover	VERB
fcis-30581	125	21	a	a	DET
fcis-30581	125	22	wide	wide	ADJ
fcis-30581	125	23	range	range	NOUN
fcis-30581	125	24	of	of	ADP
fcis-30581	125	25	scenarios	scenario	NOUN
fcis-30581	125	26	including	include	VERB
fcis-30581	125	27	illumination	illumination	NOUN
fcis-30581	125	28	,	,	PUNCT
fcis-30581	125	29	seasonal	seasonal	ADJ
fcis-30581	125	30	,	,	PUNCT
fcis-30581	125	31	and	and	CCONJ
fcis-30581	125	32	weather	weather	NOUN
fcis-30581	125	33	conditions	condition	NOUN
fcis-30581	125	34	involving	involve	VERB
fcis-30581	125	35	different	different	ADJ
fcis-30581	125	36	types	type	NOUN
fcis-30581	125	37	of	of	ADP
fcis-30581	125	38	objects	object	NOUN
fcis-30581	125	39	.	.	PUNCT
fcis-30581	126	1	it	it	PRON
fcis-30581	126	2	labels	label	VERB
fcis-30581	126	3	33,603	33,603	NUM
fcis-30581	126	4	objects	object	NOUN
fcis-30581	126	5	in	in	ADP
fcis-30581	126	6	six	six	NUM
fcis-30581	126	7	categories	category	NOUN
fcis-30581	126	8	:	:	PUNCT
fcis-30581	126	9	people	people	NOUN
fcis-30581	126	10	,	,	PUNCT
fcis-30581	126	11	cars	car	NOUN
fcis-30581	126	12	,	,	PUNCT
fcis-30581	126	13	buses	bus	NOUN
fcis-30581	126	14	,	,	PUNCT
fcis-30581	126	15	streetlights	streetlight	NOUN
fcis-30581	126	16	,	,	PUNCT
fcis-30581	126	17	motorbikes	motorbike	NOUN
fcis-30581	126	18	,	,	PUNCT
fcis-30581	126	19	and	and	CCONJ
fcis-30581	126	20	trucks.m3fd	trucks.m3fd	VERB
fcis-30581	126	21	accumulates	accumulate	VERB
fcis-30581	126	22	a	a	DET
fcis-30581	126	23	total	total	NOUN
fcis-30581	126	24	of	of	ADP
fcis-30581	126	25	4,200	4,200	NUM
fcis-30581	126	26	image	image	NOUN
fcis-30581	126	27	pairs	pair	NOUN
fcis-30581	126	28	,	,	PUNCT
fcis-30581	126	29	of	of	ADP
fcis-30581	126	30	which	which	PRON
fcis-30581	126	31	3,360	3,360	NUM
fcis-30581	126	32	pairs	pair	NOUN
fcis-30581	126	33	are	be	AUX
fcis-30581	126	34	designated	designate	VERB
fcis-30581	126	35	for	for	ADP
fcis-30581	126	36	training	training	NOUN
fcis-30581	126	37	and	and	CCONJ
fcis-30581	126	38	840	840	NUM
fcis-30581	126	39	pairs	pair	NOUN
fcis-30581	126	40	for	for	ADP
fcis-30581	126	41	testing	testing	NOUN
fcis-30581	126	42	,	,	PUNCT
fcis-30581	126	43	with	with	ADP
fcis-30581	126	44	an	an	DET
fcis-30581	126	45	image	image	NOUN
fcis-30581	126	46	resolution	resolution	NOUN
fcis-30581	126	47	of	of	ADP
fcis-30581	126	48	1024	1024	NUM
fcis-30581	126	49	×	×	NOUN
fcis-30581	126	50	768.the	768.the	DET
fcis-30581	126	51	large	large	ADJ
fcis-30581	126	52	size	size	NOUN
fcis-30581	126	53	and	and	CCONJ
fcis-30581	126	54	rich	rich	ADJ
fcis-30581	126	55	diversity	diversity	NOUN
fcis-30581	126	56	of	of	ADP
fcis-30581	126	57	the	the	DET
fcis-30581	126	58	dataset	dataset	NOUN
fcis-30581	126	59	make	make	VERB
fcis-30581	126	60	it	it	PRON
fcis-30581	126	61	an	an	DET
fcis-30581	126	62	ideal	ideal	ADJ
fcis-30581	126	63	basis	basis	NOUN
fcis-30581	126	64	for	for	ADP
fcis-30581	126	65	learning	learn	VERB
fcis-30581	126	66	and	and	CCONJ
fcis-30581	126	67	evaluating	evaluate	VERB
fcis-30581	126	68	target	target	NOUN
fcis-30581	126	69	detection	detection	NOUN
fcis-30581	126	70	using	use	VERB
fcis-30581	126	71	fused	fuse	VERB
fcis-30581	126	72	images	image	NOUN
fcis-30581	126	73	an	an	DET
fcis-30581	126	74	ideal	ideal	ADJ
fcis-30581	126	75	basis	basis	NOUN
fcis-30581	126	76	for	for	ADP
fcis-30581	126	77	learning	learn	VERB
fcis-30581	126	78	and	and	CCONJ
fcis-30581	126	79	evaluating	evaluate	VERB
fcis-30581	126	80	target	target	NOUN
fcis-30581	126	81	detection	detection	NOUN
fcis-30581	126	82	using	use	VERB
fcis-30581	126	83	fused	fuse	VERB
fcis-30581	126	84	images	image	NOUN
fcis-30581	126	85	.	.	PUNCT
fcis-30581	127	1	4.2	4.2	NUM
fcis-30581	127	2	.	.	PUNCT
fcis-30581	127	3	experimental	experimental	ADJ
fcis-30581	127	4	environment	environment	NOUN
fcis-30581	127	5	and	and	CCONJ
fcis-30581	127	6	parameters	parameter	NOUN
fcis-30581	127	7	in	in	ADP
fcis-30581	127	8	order	order	NOUN
fcis-30581	127	9	to	to	PART
fcis-30581	127	10	better	well	ADV
fcis-30581	127	11	demonstrate	demonstrate	VERB
fcis-30581	127	12	the	the	DET
fcis-30581	127	13	performance	performance	NOUN
fcis-30581	127	14	of	of	ADP
fcis-30581	127	15	the	the	DET
fcis-30581	127	16	cdmmnet	cdmmnet	NOUN
fcis-30581	127	17	model	model	NOUN
fcis-30581	127	18	as	as	ADV
fcis-30581	127	19	well	well	ADV
fcis-30581	127	20	as	as	ADP
fcis-30581	127	21	to	to	PART
fcis-30581	127	22	ensure	ensure	VERB
fcis-30581	127	23	the	the	DET
fcis-30581	127	24	fairness	fairness	NOUN
fcis-30581	127	25	of	of	ADP
fcis-30581	127	26	the	the	DET
fcis-30581	127	27	experiments	experiment	NOUN
fcis-30581	127	28	,	,	PUNCT
fcis-30581	127	29	the	the	DET
fcis-30581	127	30	experiments	experiment	NOUN
fcis-30581	127	31	are	be	AUX
fcis-30581	127	32	conducted	conduct	VERB
fcis-30581	127	33	in	in	ADP
fcis-30581	127	34	the	the	DET
fcis-30581	127	35	same	same	ADJ
fcis-30581	127	36	environment	environment	NOUN
fcis-30581	127	37	,	,	PUNCT
fcis-30581	127	38	and	and	CCONJ
fcis-30581	127	39	the	the	DET
fcis-30581	127	40	specific	specific	ADJ
fcis-30581	127	41	experimental	experimental	ADJ
fcis-30581	127	42	parameters	parameter	NOUN
fcis-30581	127	43	are	be	AUX
fcis-30581	127	44	shown	show	VERB
fcis-30581	127	45	in	in	ADP
fcis-30581	127	46	table	table	NOUN
fcis-30581	127	47	1	1	NUM
fcis-30581	127	48	.	.	X
fcis-30581	127	49	4.3	4.3	NUM
fcis-30581	127	50	.	.	PUNCT
fcis-30581	128	1	evaluation	evaluation	NOUN
fcis-30581	128	2	indicators	indicator	NOUN
fcis-30581	128	3	in	in	ADP
fcis-30581	128	4	order	order	NOUN
fcis-30581	128	5	to	to	PART
fcis-30581	128	6	effectively	effectively	ADV
fcis-30581	128	7	evaluate	evaluate	VERB
fcis-30581	128	8	the	the	DET
fcis-30581	128	9	target	target	NOUN
fcis-30581	128	10	detection	detection	NOUN
fcis-30581	128	11	capability	capability	NOUN
fcis-30581	128	12	of	of	ADP
fcis-30581	128	13	the	the	DET
fcis-30581	128	14	cd	cd	PROPN
fcis-30581	128	15	-	-	PUNCT
fcis-30581	128	16	mmnet	mmnet	PROPN
fcis-30581	128	17	model	model	NOUN
fcis-30581	128	18	,	,	PUNCT
fcis-30581	128	19	this	this	DET
fcis-30581	128	20	paper	paper	NOUN
fcis-30581	128	21	uses	use	VERB
fcis-30581	128	22	precision	precision	NOUN
fcis-30581	128	23	,	,	PUNCT
fcis-30581	128	24	recall	recall	NOUN
fcis-30581	128	25	,	,	PUNCT
fcis-30581	128	26	map@0.5~0.95	map@0.5~0.95	NOUN
fcis-30581	128	27	as	as	ADP
fcis-30581	128	28	the	the	DET
fcis-30581	128	29	evaluation	evaluation	NOUN
fcis-30581	128	30	indexes	index	NOUN
fcis-30581	128	31	with	with	ADP
fcis-30581	128	32	the	the	DET
fcis-30581	128	33	following	follow	VERB
fcis-30581	128	34	formulas	formula	NOUN
fcis-30581	128	35	:	:	PUNCT
fcis-30581	128	36	100	100	NUM
fcis-30581	128	37	%	%	NOUN
fcis-30581	128	38	tp	tp	ADP
fcis-30581	128	39	p	p	NOUN
fcis-30581	128	40	tp	tp	ADP
fcis-30581	128	41	fp	fp	PROPN
fcis-30581	128	42			PROPN
fcis-30581	128	43			X
fcis-30581	128	44	(	(	PUNCT
fcis-30581	128	45	5	5	NUM
fcis-30581	128	46	)	)	PUNCT
fcis-30581	128	47	100	100	NUM
fcis-30581	128	48	%	%	NOUN
fcis-30581	128	49	tp	tp	ADP
fcis-30581	128	50	r	r	NOUN
fcis-30581	128	51	tp	tp	NOUN
fcis-30581	128	52	fn	fn	PROPN
fcis-30581	129	1			PROPN
fcis-30581	129	2			X
fcis-30581	129	3	(	(	PUNCT
fcis-30581	129	4	6	6	NUM
fcis-30581	129	5	)	)	SYM
fcis-30581	129	6	1	1	NUM
fcis-30581	129	7	0	0	NUM
fcis-30581	129	8	1	1	NUM
fcis-30581	129	9	(	(	PUNCT
fcis-30581	129	10	)	)	PUNCT
fcis-30581	129	11	m	m	VERB
fcis-30581	129	12	n	n	VERB
fcis-30581	129	13	n	n	NOUN
fcis-30581	129	14	p	p	NOUN
fcis-30581	129	15	r	r	NOUN
fcis-30581	129	16	dr	dr	PROPN
fcis-30581	129	17	ap	ap	PROPN
fcis-30581	129	18	n	n	ADV
fcis-30581	129	19			NUM
fcis-30581	129	20			X
fcis-30581	129	21			PUNCT
fcis-30581	129	22	(	(	PUNCT
fcis-30581	129	23	7	7	X
fcis-30581	129	24	)	)	PUNCT
fcis-30581	129	25	where	where	SCONJ
fcis-30581	129	26	p	p	NOUN
fcis-30581	129	27	is	be	AUX
fcis-30581	129	28	the	the	DET
fcis-30581	129	29	correct	correct	ADJ
fcis-30581	129	30	rate	rate	NOUN
fcis-30581	130	1	,	,	PUNCT
fcis-30581	130	2	tp	tp	NOUN
fcis-30581	130	3	is	be	AUX
fcis-30581	130	4	the	the	DET
fcis-30581	130	5	number	number	NOUN
fcis-30581	130	6	of	of	ADP
fcis-30581	130	7	samples	sample	NOUN
fcis-30581	130	8	predicted	predict	VERB
fcis-30581	130	9	to	to	PART
fcis-30581	130	10	be	be	AUX
fcis-30581	130	11	correct	correct	ADJ
fcis-30581	130	12	positive	positive	ADJ
fcis-30581	130	13	samples	sample	NOUN
fcis-30581	130	14	in	in	ADP
fcis-30581	130	15	the	the	DET
fcis-30581	130	16	target	target	NOUN
fcis-30581	130	17	detection	detection	NOUN
fcis-30581	130	18	task	task	NOUN
fcis-30581	130	19	,	,	PUNCT
fcis-30581	130	20	fp	fp	X
fcis-30581	130	21	is	be	AUX
fcis-30581	130	22	the	the	DET
fcis-30581	130	23	number	number	NOUN
fcis-30581	130	24	of	of	ADP
fcis-30581	130	25	samples	sample	NOUN
fcis-30581	130	26	that	that	PRON
fcis-30581	130	27	are	be	AUX
fcis-30581	130	28	negative	negative	ADJ
fcis-30581	130	29	but	but	CCONJ
fcis-30581	130	30	predicted	predict	VERB
fcis-30581	130	31	to	to	PART
fcis-30581	130	32	be	be	AUX
fcis-30581	130	33	positive	positive	ADJ
fcis-30581	130	34	samples	sample	NOUN
fcis-30581	130	35	,	,	PUNCT
fcis-30581	130	36	and	and	CCONJ
fcis-30581	130	37	r	r	NOUN
fcis-30581	130	38	is	be	AUX
fcis-30581	130	39	the	the	DET
fcis-30581	130	40	regression	regression	NOUN
fcis-30581	130	41	rate	rate	NOUN
fcis-30581	130	42	,	,	PUNCT
fcis-30581	130	43	where	where	SCONJ
fcis-30581	130	44	fn	fn	NOUN
fcis-30581	130	45	is	be	AUX
fcis-30581	130	46	the	the	DET
fcis-30581	130	47	number	number	NOUN
fcis-30581	130	48	of	of	ADP
fcis-30581	130	49	positive	positive	ADJ
fcis-30581	130	50	samples	sample	NOUN
fcis-30581	130	51	that	that	PRON
fcis-30581	130	52	are	be	AUX
fcis-30581	130	53	predicted	predict	VERB
fcis-30581	130	54	94	94	NUM
fcis-30581	130	55	to	to	PART
fcis-30581	130	56	be	be	AUX
fcis-30581	130	57	negative	negative	ADJ
fcis-30581	130	58	samples	sample	NOUN
fcis-30581	130	59	.	.	PUNCT
fcis-30581	131	1	the	the	DET
fcis-30581	131	2	field	field	NOUN
fcis-30581	131	3	of	of	ADP
fcis-30581	131	4	target	target	NOUN
fcis-30581	131	5	detection	detection	NOUN
fcis-30581	131	6	generally	generally	ADV
fcis-30581	131	7	uses	use	VERB
fcis-30581	131	8	p	p	ADJ
fcis-30581	131	9	-	-	PUNCT
fcis-30581	131	10	r	r	NOUN
fcis-30581	131	11	curves	curve	NOUN
fcis-30581	131	12	to	to	PART
fcis-30581	131	13	describe	describe	VERB
fcis-30581	131	14	the	the	DET
fcis-30581	131	15	performance	performance	NOUN
fcis-30581	131	16	of	of	ADP
fcis-30581	131	17	target	target	NOUN
fcis-30581	131	18	detection	detection	NOUN
fcis-30581	131	19	.	.	PUNCT
fcis-30581	132	1	in	in	ADP
fcis-30581	132	2	addition	addition	NOUN
fcis-30581	132	3	,	,	PUNCT
fcis-30581	132	4	map	map	NOUN
fcis-30581	132	5	is	be	AUX
fcis-30581	132	6	a	a	DET
fcis-30581	132	7	composite	composite	ADJ
fcis-30581	132	8	measure	measure	NOUN
fcis-30581	132	9	of	of	ADP
fcis-30581	132	10	average	average	ADJ
fcis-30581	132	11	accuracy	accuracy	NOUN
fcis-30581	132	12	across	across	ADP
fcis-30581	132	13	multiple	multiple	ADJ
fcis-30581	132	14	categories	category	NOUN
fcis-30581	132	15	to	to	PART
fcis-30581	132	16	measure	measure	VERB
fcis-30581	132	17	the	the	DET
fcis-30581	132	18	performance	performance	NOUN
fcis-30581	132	19	of	of	ADP
fcis-30581	132	20	a	a	DET
fcis-30581	132	21	target	target	NOUN
fcis-30581	132	22	detection	detection	NOUN
fcis-30581	132	23	model	model	NOUN
fcis-30581	132	24	.	.	PUNCT
fcis-30581	133	1	map	map	PROPN
fcis-30581	133	2	's	's	PART
fcis-30581	133	3	threshold	threshold	NOUN
fcis-30581	133	4	(	(	PUNCT
fcis-30581	133	5	iou	iou	NOUN
fcis-30581	133	6	)	)	PUNCT
fcis-30581	133	7	can	can	AUX
fcis-30581	133	8	be	be	AUX
fcis-30581	133	9	set	set	VERB
fcis-30581	133	10	based	base	VERB
fcis-30581	133	11	on	on	ADP
fcis-30581	133	12	the	the	DET
fcis-30581	133	13	degree	degree	NOUN
fcis-30581	133	14	of	of	ADP
fcis-30581	133	15	overlap	overlap	NOUN
fcis-30581	133	16	of	of	ADP
fcis-30581	133	17	the	the	DET
fcis-30581	133	18	boxes	box	NOUN
fcis-30581	133	19	.	.	PUNCT
fcis-30581	134	1	map@0.5~0.95	map@0.5~0.95	NOUN
fcis-30581	134	2	is	be	AUX
fcis-30581	134	3	the	the	DET
fcis-30581	134	4	average	average	ADJ
fcis-30581	134	5	accuracy	accuracy	NOUN
fcis-30581	134	6	when	when	SCONJ
fcis-30581	134	7	the	the	DET
fcis-30581	134	8	degree	degree	NOUN
fcis-30581	134	9	of	of	ADP
fcis-30581	134	10	overlap	overlap	NOUN
fcis-30581	134	11	between	between	ADP
fcis-30581	134	12	the	the	DET
fcis-30581	134	13	predicted	predict	VERB
fcis-30581	134	14	box	box	NOUN
fcis-30581	134	15	and	and	CCONJ
fcis-30581	134	16	the	the	DET
fcis-30581	134	17	target	target	NOUN
fcis-30581	134	18	box	box	NOUN
fcis-30581	134	19	is	be	AUX
fcis-30581	134	20	greater	great	ADJ
fcis-30581	134	21	than	than	ADP
fcis-30581	134	22	0.5	0.5	NUM
fcis-30581	134	23	and	and	CCONJ
fcis-30581	134	24	less	less	ADJ
fcis-30581	134	25	than	than	ADP
fcis-30581	134	26	0.95	0.95	NUM
fcis-30581	134	27	.	.	PUNCT
fcis-30581	134	28	table	table	NOUN
fcis-30581	134	29	1	1	NUM
fcis-30581	134	30	.	.	PUNCT
fcis-30581	134	31	experimental	experimental	ADJ
fcis-30581	134	32	environment	environment	NOUN
fcis-30581	134	33	configuration	configuration	NOUN
fcis-30581	134	34	name	name	NOUN
fcis-30581	134	35	parameter	parameter	PROPN
fcis-30581	134	36	hardware	hardware	NOUN
fcis-30581	134	37	pc	pc	NOUN
fcis-30581	134	38	cpu	cpu	NOUN
fcis-30581	134	39	amd	amd	PROPN
fcis-30581	134	40	epyc	epyc	PROPN
fcis-30581	134	41	9654	9654	NUM
fcis-30581	134	42	gpu	gpu	PROPN
fcis-30581	134	43	rtx	rtx	PROPN
fcis-30581	134	44	4090	4090	NUM
fcis-30581	134	45	graphics	graphic	NOUN
fcis-30581	134	46	card	card	NOUN
fcis-30581	134	47	24	24	NUM
fcis-30581	134	48	g	g	PROPN
fcis-30581	134	49	operation	operation	NOUN
fcis-30581	134	50	system	system	NOUN
fcis-30581	134	51	ubuntu	ubuntu	NOUN
fcis-30581	134	52	22.04	22.04	NUM
fcis-30581	134	53	software	software	NOUN
fcis-30581	134	54	deep	deep	ADJ
fcis-30581	134	55	learning	learning	NOUN
fcis-30581	134	56	framework	framework	NOUN
fcis-30581	134	57	pytorch	pytorch	NOUN
fcis-30581	134	58	2.3.0	2.3.0	NUM
fcis-30581	134	59	programming	programming	NOUN
fcis-30581	134	60	languages	language	NOUN
fcis-30581	134	61	python	python	NOUN
fcis-30581	134	62	3.12	3.12	NUM
fcis-30581	134	63	cuda	cuda	NOUN
fcis-30581	134	64	12.1	12.1	NUM
fcis-30581	134	65	hyperparameter	hyperparameter	NOUN
fcis-30581	134	66	epochs	epoch	VERB
fcis-30581	134	67	150	150	NUM
fcis-30581	134	68	batch	batch	NOUN
fcis-30581	134	69	size	size	NOUN
fcis-30581	134	70	64	64	NUM
fcis-30581	134	71	picture	picture	NOUN
fcis-30581	134	72	size	size	NOUN
fcis-30581	134	73	640×640	640×640	NUM
fcis-30581	134	74	initial	initial	ADJ
fcis-30581	134	75	learning	learning	NOUN
fcis-30581	134	76	rate	rate	NOUN
fcis-30581	134	77	0.01	0.01	NUM
fcis-30581	134	78	iou	iou	NOUN
fcis-30581	134	79	0.7	0.7	NUM
fcis-30581	134	80	4.4	4.4	NUM
fcis-30581	134	81	.	.	PUNCT
fcis-30581	135	1	ablation	ablation	NOUN
fcis-30581	135	2	experiments	experiment	NOUN
fcis-30581	135	3	in	in	ADP
fcis-30581	135	4	order	order	NOUN
fcis-30581	135	5	to	to	PART
fcis-30581	135	6	prove	prove	VERB
fcis-30581	135	7	the	the	DET
fcis-30581	135	8	effectiveness	effectiveness	NOUN
fcis-30581	135	9	of	of	ADP
fcis-30581	135	10	the	the	DET
fcis-30581	135	11	target	target	NOUN
fcis-30581	135	12	detection	detection	NOUN
fcis-30581	135	13	effect	effect	NOUN
fcis-30581	135	14	of	of	ADP
fcis-30581	135	15	the	the	DET
fcis-30581	135	16	cd	cd	PROPN
fcis-30581	135	17	-	-	PUNCT
fcis-30581	135	18	mmnet	mmnet	PROPN
fcis-30581	135	19	model	model	NOUN
fcis-30581	135	20	,	,	PUNCT
fcis-30581	135	21	ablation	ablation	NOUN
fcis-30581	135	22	experiments	experiment	NOUN
fcis-30581	135	23	are	be	AUX
fcis-30581	135	24	conducted	conduct	VERB
fcis-30581	135	25	on	on	ADP
fcis-30581	135	26	the	the	DET
fcis-30581	135	27	m3fd	m3fd	ADJ
fcis-30581	135	28	dataset	dataset	NOUN
fcis-30581	135	29	,	,	PUNCT
fcis-30581	135	30	and	and	CCONJ
fcis-30581	135	31	the	the	DET
fcis-30581	135	32	consistency	consistency	NOUN
fcis-30581	135	33	of	of	ADP
fcis-30581	135	34	the	the	DET
fcis-30581	135	35	input	input	NOUN
fcis-30581	135	36	images	image	NOUN
fcis-30581	135	37	and	and	CCONJ
fcis-30581	135	38	training	training	NOUN
fcis-30581	135	39	parameters	parameter	NOUN
fcis-30581	135	40	is	be	AUX
fcis-30581	135	41	maintained	maintain	VERB
fcis-30581	135	42	during	during	ADP
fcis-30581	135	43	the	the	DET
fcis-30581	135	44	experiments	experiment	NOUN
fcis-30581	135	45	,	,	PUNCT
fcis-30581	135	46	and	and	CCONJ
fcis-30581	135	47	the	the	DET
fcis-30581	135	48	experimental	experimental	ADJ
fcis-30581	135	49	results	result	NOUN
fcis-30581	135	50	are	be	AUX
fcis-30581	135	51	shown	show	VERB
fcis-30581	135	52	in	in	ADP
fcis-30581	135	53	table	table	NOUN
fcis-30581	135	54	2	2	NUM
fcis-30581	135	55	.	.	PUNCT
fcis-30581	136	1	among	among	ADP
fcis-30581	136	2	them	they	PRON
fcis-30581	136	3	,	,	PUNCT
fcis-30581	136	4	the	the	DET
fcis-30581	136	5	first	first	ADJ
fcis-30581	136	6	group	group	NOUN
fcis-30581	136	7	is	be	AUX
fcis-30581	136	8	the	the	DET
fcis-30581	136	9	evaluation	evaluation	NOUN
fcis-30581	136	10	results	result	NOUN
fcis-30581	136	11	of	of	ADP
fcis-30581	136	12	the	the	DET
fcis-30581	136	13	original	original	ADJ
fcis-30581	136	14	yolov8	yolov8	NOUN
fcis-30581	136	15	model	model	NOUN
fcis-30581	136	16	;	;	PUNCT
fcis-30581	136	17	the	the	DET
fcis-30581	136	18	second	second	ADJ
fcis-30581	136	19	group	group	NOUN
fcis-30581	136	20	adds	add	VERB
fcis-30581	136	21	the	the	DET
fcis-30581	136	22	intermediate	intermediate	ADJ
fcis-30581	136	23	fusion	fusion	NOUN
fcis-30581	136	24	module	module	NOUN
fcis-30581	136	25	;	;	PUNCT
fcis-30581	136	26	the	the	DET
fcis-30581	136	27	third	third	ADJ
fcis-30581	136	28	group	group	NOUN
fcis-30581	136	29	of	of	ADP
fcis-30581	136	30	experiments	experiment	NOUN
fcis-30581	136	31	adds	add	VERB
fcis-30581	136	32	the	the	DET
fcis-30581	136	33	cbam	cbam	NOUN
fcis-30581	136	34	module	module	NOUN
fcis-30581	136	35	again	again	ADV
fcis-30581	136	36	;	;	PUNCT
fcis-30581	136	37	the	the	DET
fcis-30581	136	38	fourth	fourth	ADJ
fcis-30581	136	39	group	group	NOUN
fcis-30581	136	40	is	be	AUX
fcis-30581	136	41	the	the	DET
fcis-30581	136	42	cdmmnet	cdmmnet	NOUN
fcis-30581	136	43	model	model	NOUN
fcis-30581	136	44	proposed	propose	VERB
fcis-30581	136	45	in	in	ADP
fcis-30581	136	46	this	this	DET
fcis-30581	136	47	paper	paper	NOUN
fcis-30581	136	48	,	,	PUNCT
fcis-30581	136	49	which	which	PRON
fcis-30581	136	50	improves	improve	VERB
fcis-30581	136	51	the	the	DET
fcis-30581	136	52	precision	precision	NOUN
fcis-30581	136	53	,	,	PUNCT
fcis-30581	136	54	recall	recall	NOUN
fcis-30581	136	55	,	,	PUNCT
fcis-30581	136	56	map@0.5	map@0.5	PROPN
fcis-30581	136	57	%	%	NOUN
fcis-30581	136	58	,	,	PUNCT
fcis-30581	136	59	and	and	CCONJ
fcis-30581	136	60	map@0.5~0.95	map@0.5~0.95	NOUN
fcis-30581	136	61	%	%	NOUN
fcis-30581	136	62	by	by	ADP
fcis-30581	136	63	2.9	2.9	NUM
fcis-30581	136	64	%	%	NOUN
fcis-30581	136	65	,	,	PUNCT
fcis-30581	136	66	3.7	3.7	NUM
fcis-30581	136	67	%	%	NOUN
fcis-30581	136	68	,	,	PUNCT
fcis-30581	136	69	3.5	3.5	NUM
fcis-30581	136	70	%	%	NOUN
fcis-30581	136	71	,	,	PUNCT
fcis-30581	136	72	and	and	CCONJ
fcis-30581	136	73	4.0	4.0	NUM
fcis-30581	136	74	,	,	PUNCT
fcis-30581	136	75	respectively	respectively	ADV
fcis-30581	136	76	.	.	PUNCT
fcis-30581	137	1	ablation	ablation	NOUN
fcis-30581	137	2	experiments	experiment	NOUN
fcis-30581	137	3	show	show	VERB
fcis-30581	137	4	that	that	SCONJ
fcis-30581	137	5	the	the	DET
fcis-30581	137	6	improved	improved	ADJ
fcis-30581	137	7	model	model	NOUN
fcis-30581	137	8	can	can	AUX
fcis-30581	137	9	effectively	effectively	ADV
fcis-30581	137	10	improve	improve	VERB
fcis-30581	137	11	the	the	DET
fcis-30581	137	12	precision	precision	NOUN
fcis-30581	137	13	of	of	ADP
fcis-30581	137	14	the	the	DET
fcis-30581	137	15	algorithm	algorithm	NOUN
fcis-30581	137	16	.	.	PUNCT
fcis-30581	138	1	table	table	NOUN
fcis-30581	138	2	2	2	NUM
fcis-30581	138	3	.	.	PUNCT
fcis-30581	138	4	results	result	NOUN
fcis-30581	138	5	of	of	ADP
fcis-30581	138	6	ablation	ablation	NOUN
fcis-30581	138	7	experiments	experiment	NOUN
fcis-30581	138	8	batch	batch	VERB
fcis-30581	138	9	number	number	NOUN
fcis-30581	138	10	fmn	fmn	ADJ
fcis-30581	138	11	cbam	cbam	NOUN
fcis-30581	138	12	dbb	dbb	PROPN
fcis-30581	138	13	precision%	precision%	PUNCT
fcis-30581	138	14	recall%	recall%	NUM
fcis-30581	138	15	map@0.5	map@0.5	NOUN
fcis-30581	138	16	%	%	NOUN
fcis-30581	138	17	map@0.5~0.95	map@0.5~0.95	NOUN
fcis-30581	138	18	%	%	NOUN
fcis-30581	138	19	1	1	NUM
fcis-30581	138	20	79.60	79.60	NUM
fcis-30581	138	21	68.60	68.60	NUM
fcis-30581	138	22	75.70	75.70	NUM
fcis-30581	138	23	48.70	48.70	NUM
fcis-30581	138	24	2	2	NUM
fcis-30581	138	25	√	√	ADP
fcis-30581	138	26	80.80	80.80	NUM
fcis-30581	138	27	70.70	70.70	NUM
fcis-30581	138	28	77.30	77.30	NUM
fcis-30581	138	29	51.40	51.40	NUM
fcis-30581	138	30	3	3	NUM
fcis-30581	138	31	√	√	NUM
fcis-30581	138	32	√	√	ADP
fcis-30581	138	33	84.00	84.00	NUM
fcis-30581	138	34	69.70	69.70	NUM
fcis-30581	138	35	78.50	78.50	NUM
fcis-30581	138	36	51.50	51.50	NUM
fcis-30581	138	37	4	4	NUM
fcis-30581	138	38	√	√	NOUN
fcis-30581	138	39	√	√	NUM
fcis-30581	138	40	√	√	ADP
fcis-30581	138	41	82.50	82.50	NUM
fcis-30581	138	42	72.30	72.30	NUM
fcis-30581	138	43	79.20	79.20	NUM
fcis-30581	138	44	52.70	52.70	NUM
fcis-30581	138	45	4.5	4.5	NUM
fcis-30581	138	46	.	.	PUNCT
fcis-30581	139	1	comparative	comparative	ADJ
fcis-30581	139	2	experiments	experiment	NOUN
fcis-30581	139	3	under	under	ADP
fcis-30581	139	4	consistent	consistent	ADJ
fcis-30581	139	5	experimental	experimental	ADJ
fcis-30581	139	6	conditions	condition	NOUN
fcis-30581	139	7	,	,	PUNCT
fcis-30581	139	8	the	the	DET
fcis-30581	139	9	improved	improved	ADJ
fcis-30581	139	10	model	model	NOUN
fcis-30581	139	11	proposed	propose	VERB
fcis-30581	139	12	in	in	ADP
fcis-30581	139	13	this	this	DET
fcis-30581	139	14	study	study	NOUN
fcis-30581	139	15	was	be	AUX
fcis-30581	139	16	compared	compare	VERB
fcis-30581	139	17	with	with	ADP
fcis-30581	139	18	other	other	ADJ
fcis-30581	139	19	models	model	NOUN
fcis-30581	139	20	,	,	PUNCT
fcis-30581	139	21	as	as	SCONJ
fcis-30581	139	22	shown	show	VERB
fcis-30581	139	23	in	in	ADP
fcis-30581	139	24	table	table	NOUN
fcis-30581	139	25	3	3	NUM
fcis-30581	139	26	.	.	PUNCT
fcis-30581	140	1	the	the	DET
fcis-30581	140	2	results	result	NOUN
fcis-30581	140	3	demonstrate	demonstrate	VERB
fcis-30581	140	4	that	that	SCONJ
fcis-30581	140	5	the	the	DET
fcis-30581	140	6	model	model	NOUN
fcis-30581	140	7	achieves	achieve	VERB
fcis-30581	140	8	a	a	DET
fcis-30581	140	9	significantly	significantly	ADV
fcis-30581	140	10	higher	high	ADJ
fcis-30581	140	11	map@0.5~0.95	map@0.5~0.95	NOUN
fcis-30581	140	12	%	%	NOUN
fcis-30581	140	13	on	on	ADP
fcis-30581	140	14	the	the	DET
fcis-30581	140	15	m3fd	m3fd	ADJ
fcis-30581	140	16	dataset	dataset	NOUN
fcis-30581	140	17	than	than	ADP
fcis-30581	140	18	competing	compete	VERB
fcis-30581	140	19	approaches	approach	NOUN
fcis-30581	140	20	,	,	PUNCT
fcis-30581	140	21	exhibiting	exhibit	VERB
fcis-30581	140	22	superior	superior	ADJ
fcis-30581	140	23	precision	precision	NOUN
fcis-30581	140	24	and	and	CCONJ
fcis-30581	140	25	robustness	robustness	NOUN
fcis-30581	140	26	in	in	ADP
fcis-30581	140	27	object	object	NOUN
fcis-30581	140	28	detection	detection	NOUN
fcis-30581	140	29	.	.	PUNCT
fcis-30581	141	1	table	table	NOUN
fcis-30581	141	2	3	3	NUM
fcis-30581	141	3	.	.	PUNCT
fcis-30581	141	4	comparative	comparative	ADJ
fcis-30581	141	5	experimental	experimental	ADJ
fcis-30581	141	6	results	result	NOUN
fcis-30581	141	7	of	of	ADP
fcis-30581	141	8	models	model	NOUN
fcis-30581	141	9	modelling	model	VERB
fcis-30581	141	10	precision%	precision%	NUM
fcis-30581	141	11	recall%	recall%	NUM
fcis-30581	141	12	map@0.5~0.95	map@0.5~0.95	NOUN
fcis-30581	141	13	%	%	NOUN
fcis-30581	141	14	yolov8n	yolov8n	NOUN
fcis-30581	141	15	79.60	79.60	NUM
fcis-30581	141	16	68.60	68.60	NUM
fcis-30581	141	17	48.70	48.70	NUM
fcis-30581	141	18	yolov5n	yolov5n	NOUN
fcis-30581	142	1	80.30	80.30	NUM
fcis-30581	142	2	66.90	66.90	NUM
fcis-30581	142	3	47.00	47.00	NUM
fcis-30581	142	4	yolov6n	yolov6n	PROPN
fcis-30581	142	5	80.90	80.90	NUM
fcis-30581	142	6	61.40	61.40	NUM
fcis-30581	142	7	45.10	45.10	NUM
fcis-30581	142	8	yolov9	yolov9	PROPN
fcis-30581	142	9	t	t	PROPN
fcis-30581	142	10	81.90	81.90	NUM
fcis-30581	142	11	64.60	64.60	NUM
fcis-30581	142	12	47.70	47.70	NUM
fcis-30581	142	13	yolov10n	yolov10n	VERB
fcis-30581	142	14	76.90	76.90	NUM
fcis-30581	142	15	64.10	64.10	NUM
fcis-30581	142	16	46.90	46.90	NUM
fcis-30581	142	17	gan	gan	PROPN
fcis-30581	142	18	-	-	PUNCT
fcis-30581	142	19	based[17	based[17	VERB
fcis-30581	142	20	]	]	X
fcis-30581	142	21	50.20	50.20	NUM
fcis-30581	142	22	cd	cd	PROPN
fcis-30581	142	23	-	-	PUNCT
fcis-30581	142	24	mmnet	mmnet	NOUN
fcis-30581	142	25	82.50	82.50	NUM
fcis-30581	142	26	72.30	72.30	NUM
fcis-30581	142	27	52.70	52.70	NUM
fcis-30581	142	28	95	95	NUM
fcis-30581	142	29	4.6	4.6	NUM
fcis-30581	142	30	.	.	PUNCT
fcis-30581	143	1	visualisation	visualisation	NOUN
fcis-30581	143	2	analysis	analysis	NOUN
fcis-30581	143	3	in	in	SCONJ
fcis-30581	143	4	order	order	NOUN
fcis-30581	143	5	to	to	PART
fcis-30581	143	6	visually	visually	ADV
fcis-30581	143	7	compare	compare	VERB
fcis-30581	143	8	the	the	DET
fcis-30581	143	9	detection	detection	NOUN
fcis-30581	143	10	effects	effect	NOUN
fcis-30581	143	11	of	of	ADP
fcis-30581	143	12	the	the	DET
fcis-30581	143	13	yolov8	yolov8	NOUN
fcis-30581	143	14	model	model	NOUN
fcis-30581	143	15	and	and	CCONJ
fcis-30581	143	16	the	the	DET
fcis-30581	143	17	cd	cd	PROPN
fcis-30581	143	18	-	-	PUNCT
fcis-30581	143	19	mmnet	mmnet	PROPN
fcis-30581	143	20	model	model	NOUN
fcis-30581	143	21	,	,	PUNCT
fcis-30581	143	22	images	image	NOUN
fcis-30581	143	23	of	of	ADP
fcis-30581	143	24	small	small	ADJ
fcis-30581	143	25	multi	multi	ADJ
fcis-30581	143	26	-	-	ADJ
fcis-30581	143	27	scale	scale	ADJ
fcis-30581	143	28	dense	dense	ADJ
fcis-30581	143	29	targets	target	NOUN
fcis-30581	143	30	with	with	ADP
fcis-30581	143	31	poor	poor	ADJ
fcis-30581	143	32	lighting	lighting	NOUN
fcis-30581	143	33	conditions	condition	NOUN
fcis-30581	143	34	and	and	CCONJ
fcis-30581	143	35	occlusion	occlusion	NOUN
fcis-30581	143	36	were	be	AUX
fcis-30581	143	37	identified	identify	VERB
fcis-30581	143	38	in	in	ADP
fcis-30581	143	39	the	the	DET
fcis-30581	143	40	m3fd	m3fd	ADJ
fcis-30581	143	41	dataset	dataset	NOUN
fcis-30581	143	42	to	to	PART
fcis-30581	143	43	visualise	visualise	VERB
fcis-30581	143	44	and	and	CCONJ
fcis-30581	143	45	analyse	analyse	VERB
fcis-30581	143	46	the	the	DET
fcis-30581	143	47	results	result	NOUN
fcis-30581	143	48	of	of	ADP
fcis-30581	143	49	the	the	DET
fcis-30581	143	50	models	model	NOUN
fcis-30581	143	51	,	,	PUNCT
fcis-30581	143	52	as	as	SCONJ
fcis-30581	143	53	shown	show	VERB
fcis-30581	143	54	in	in	ADP
fcis-30581	143	55	fig	fig	NOUN
fcis-30581	143	56	.	.	PUNCT
fcis-30581	144	1	4	4	X
fcis-30581	144	2	.	.	X
fcis-30581	144	3	(	(	PUNCT
fcis-30581	144	4	a	a	X
fcis-30581	144	5	)	)	PUNCT
fcis-30581	144	6	shows	show	VERB
fcis-30581	144	7	the	the	DET
fcis-30581	144	8	detection	detection	NOUN
fcis-30581	144	9	results	result	NOUN
fcis-30581	144	10	of	of	ADP
fcis-30581	144	11	unimodal	unimodal	ADJ
fcis-30581	144	12	visible	visible	ADJ
fcis-30581	144	13	light	light	NOUN
fcis-30581	144	14	,	,	PUNCT
fcis-30581	144	15	(	(	PUNCT
fcis-30581	144	16	b	b	X
fcis-30581	144	17	)	)	PUNCT
fcis-30581	144	18	shows	show	VERB
fcis-30581	144	19	the	the	DET
fcis-30581	144	20	detection	detection	NOUN
fcis-30581	144	21	results	result	NOUN
fcis-30581	144	22	of	of	ADP
fcis-30581	144	23	unimodal	unimodal	ADJ
fcis-30581	144	24	infrared	infrared	ADJ
fcis-30581	144	25	light	light	NOUN
fcis-30581	144	26	,	,	PUNCT
fcis-30581	144	27	and	and	CCONJ
fcis-30581	144	28	(	(	PUNCT
fcis-30581	144	29	c	c	X
fcis-30581	144	30	)	)	PUNCT
fcis-30581	144	31	shows	show	VERB
fcis-30581	144	32	the	the	DET
fcis-30581	144	33	detection	detection	NOUN
fcis-30581	144	34	results	result	NOUN
fcis-30581	144	35	of	of	ADP
fcis-30581	144	36	cd	cd	PROPN
fcis-30581	144	37	-	-	PUNCT
fcis-30581	144	38	mmnet	mmnet	PROPN
fcis-30581	144	39	model	model	NOUN
fcis-30581	144	40	.	.	PUNCT
fcis-30581	145	1	as	as	SCONJ
fcis-30581	145	2	can	can	AUX
fcis-30581	145	3	be	be	AUX
fcis-30581	145	4	seen	see	VERB
fcis-30581	145	5	from	from	ADP
fcis-30581	145	6	the	the	DET
fcis-30581	145	7	figure	figure	NOUN
fcis-30581	145	8	,	,	PUNCT
fcis-30581	145	9	the	the	DET
fcis-30581	145	10	cd	cd	PROPN
fcis-30581	145	11	-	-	PUNCT
fcis-30581	145	12	mmnet	mmnet	NOUN
fcis-30581	145	13	model	model	NOUN
fcis-30581	145	14	significantly	significantly	ADV
fcis-30581	145	15	improves	improve	VERB
fcis-30581	145	16	the	the	DET
fcis-30581	145	17	occurrence	occurrence	NOUN
fcis-30581	145	18	of	of	ADP
fcis-30581	145	19	leakage	leakage	NOUN
fcis-30581	145	20	and	and	CCONJ
fcis-30581	145	21	misdetection	misdetection	NOUN
fcis-30581	145	22	,	,	PUNCT
fcis-30581	145	23	and	and	CCONJ
fcis-30581	145	24	improves	improve	VERB
fcis-30581	145	25	the	the	DET
fcis-30581	145	26	detection	detection	NOUN
fcis-30581	145	27	accuracy	accuracy	NOUN
fcis-30581	145	28	of	of	ADP
fcis-30581	145	29	the	the	DET
fcis-30581	145	30	target	target	NOUN
fcis-30581	145	31	.	.	PUNCT
fcis-30581	146	1	fig	fig	NOUN
fcis-30581	146	2	4	4	NUM
fcis-30581	146	3	.	.	PUNCT
fcis-30581	146	4	comparison	comparison	NOUN
fcis-30581	146	5	of	of	ADP
fcis-30581	146	6	detection	detection	NOUN
fcis-30581	146	7	results	result	NOUN
fcis-30581	146	8	under	under	ADP
fcis-30581	146	9	different	different	ADJ
fcis-30581	146	10	conditions	condition	NOUN
fcis-30581	146	11	5	5	NUM
fcis-30581	146	12	.	.	PUNCT
fcis-30581	146	13	conclusion	conclusion	NOUN
fcis-30581	146	14	in	in	ADP
fcis-30581	146	15	summary	summary	NOUN
fcis-30581	146	16	,	,	PUNCT
fcis-30581	146	17	this	this	DET
fcis-30581	146	18	paper	paper	NOUN
fcis-30581	146	19	introduces	introduce	VERB
fcis-30581	146	20	improvements	improvement	NOUN
fcis-30581	146	21	to	to	ADP
fcis-30581	146	22	certain	certain	ADJ
fcis-30581	146	23	modules	module	NOUN
fcis-30581	146	24	of	of	ADP
fcis-30581	146	25	the	the	DET
fcis-30581	146	26	yolov8	yolov8	NOUN
fcis-30581	146	27	backbone	backbone	PROPN
fcis-30581	146	28	network	network	NOUN
fcis-30581	146	29	.	.	PUNCT
fcis-30581	147	1	the	the	DET
fcis-30581	147	2	proposed	propose	VERB
fcis-30581	147	3	cd	cd	PROPN
fcis-30581	147	4	-	-	PUNCT
fcis-30581	147	5	mmnet	mmnet	NOUN
fcis-30581	147	6	model	model	NOUN
fcis-30581	147	7	employs	employ	VERB
fcis-30581	147	8	a	a	DET
fcis-30581	147	9	dual	dual	ADJ
fcis-30581	147	10	-	-	PUNCT
fcis-30581	147	11	branch	branch	NOUN
fcis-30581	147	12	structure	structure	NOUN
fcis-30581	147	13	to	to	PART
fcis-30581	147	14	dynamically	dynamically	ADV
fcis-30581	147	15	select	select	VERB
fcis-30581	147	16	optimal	optimal	ADJ
fcis-30581	147	17	features	feature	NOUN
fcis-30581	147	18	from	from	ADP
fcis-30581	147	19	visible	visible	ADJ
fcis-30581	147	20	and	and	CCONJ
fcis-30581	147	21	infrared	infrared	ADJ
fcis-30581	147	22	images	image	NOUN
fcis-30581	147	23	,	,	PUNCT
fcis-30581	147	24	thereby	thereby	ADV
fcis-30581	147	25	overcoming	overcome	VERB
fcis-30581	147	26	environmental	environmental	ADJ
fcis-30581	147	27	limitations	limitation	NOUN
fcis-30581	147	28	.	.	PUNCT
fcis-30581	148	1	additionally	additionally	ADV
fcis-30581	148	2	,	,	PUNCT
fcis-30581	148	3	the	the	DET
fcis-30581	148	4	cbam	cbam	NOUN
fcis-30581	148	5	attention	attention	NOUN
fcis-30581	148	6	mechanism	mechanism	NOUN
fcis-30581	148	7	is	be	AUX
fcis-30581	148	8	integrated	integrate	VERB
fcis-30581	148	9	into	into	ADP
fcis-30581	148	10	the	the	DET
fcis-30581	148	11	backbone	backbone	NOUN
fcis-30581	148	12	network	network	NOUN
fcis-30581	148	13	,	,	PUNCT
fcis-30581	148	14	enabling	enable	VERB
fcis-30581	148	15	dual	dual	ADJ
fcis-30581	148	16	channel	channel	NOUN
fcis-30581	148	17	and	and	CCONJ
fcis-30581	148	18	spatial	spatial	ADJ
fcis-30581	148	19	attention	attention	NOUN
fcis-30581	148	20	weighting	weight	VERB
fcis-30581	148	21	to	to	PART
fcis-30581	148	22	enhance	enhance	VERB
fcis-30581	148	23	focus	focus	VERB
fcis-30581	148	24	on	on	ADP
fcis-30581	148	25	target	target	NOUN
fcis-30581	148	26	regions	region	NOUN
fcis-30581	148	27	.	.	PUNCT
fcis-30581	149	1	finally	finally	ADV
fcis-30581	149	2	,	,	PUNCT
fcis-30581	149	3	the	the	DET
fcis-30581	149	4	dbb	dbb	PROPN
fcis-30581	149	5	module	module	NOUN
fcis-30581	149	6	replaces	replace	VERB
fcis-30581	149	7	conventional	conventional	ADJ
fcis-30581	149	8	convolutional	convolutional	ADJ
fcis-30581	149	9	structures	structure	NOUN
fcis-30581	149	10	,	,	PUNCT
fcis-30581	149	11	leveraging	leverage	VERB
fcis-30581	149	12	multi	multi	ADJ
fcis-30581	149	13	-	-	ADJ
fcis-30581	149	14	branch	branch	ADJ
fcis-30581	149	15	convolution	convolution	NOUN
fcis-30581	149	16	operations	operation	NOUN
fcis-30581	149	17	to	to	PART
fcis-30581	149	18	improve	improve	VERB
fcis-30581	149	19	the	the	DET
fcis-30581	149	20	network	network	NOUN
fcis-30581	149	21	's	's	PART
fcis-30581	149	22	adaptability	adaptability	NOUN
fcis-30581	149	23	to	to	ADP
fcis-30581	149	24	multi	multi	ADJ
fcis-30581	149	25	-	-	ADJ
fcis-30581	149	26	scale	scale	ADJ
fcis-30581	149	27	features	feature	NOUN
fcis-30581	149	28	.	.	PUNCT
fcis-30581	150	1	experiments	experiment	NOUN
fcis-30581	150	2	on	on	ADP
fcis-30581	150	3	the	the	DET
fcis-30581	150	4	m3fd	m3fd	VERB
fcis-30581	150	5	dataset	dataset	NOUN
fcis-30581	150	6	demonstrate	demonstrate	NOUN
fcis-30581	150	7	that	that	SCONJ
fcis-30581	150	8	the	the	DET
fcis-30581	150	9	cdmmnet	cdmmnet	NOUN
fcis-30581	150	10	model	model	NOUN
fcis-30581	150	11	significantly	significantly	ADV
fcis-30581	150	12	outperforms	outperform	VERB
fcis-30581	150	13	existing	exist	VERB
fcis-30581	150	14	state	state	NOUN
fcis-30581	150	15	-	-	PUNCT
fcis-30581	150	16	ofthe	ofthe	NOUN
fcis-30581	150	17	-	-	PUNCT
fcis-30581	150	18	art	art	NOUN
fcis-30581	150	19	algorithms	algorithm	NOUN
fcis-30581	150	20	,	,	PUNCT
fcis-30581	150	21	achieving	achieve	VERB
fcis-30581	150	22	a	a	DET
fcis-30581	150	23	4.0	4.0	NUM
fcis-30581	150	24	%	%	NOUN
fcis-30581	150	25	improvement	improvement	NOUN
fcis-30581	150	26	in	in	ADP
fcis-30581	150	27	map@0.5~0.95	map@0.5~0.95	NOUN
fcis-30581	150	28	compared	compare	VERB
fcis-30581	150	29	to	to	ADP
fcis-30581	150	30	the	the	DET
fcis-30581	150	31	original	original	ADJ
fcis-30581	150	32	yolov8	yolov8	NOUN
fcis-30581	150	33	.	.	PUNCT
fcis-30581	151	1	it	it	PRON
fcis-30581	151	2	exhibits	exhibit	VERB
fcis-30581	151	3	particularly	particularly	ADV
fcis-30581	151	4	strong	strong	ADJ
fcis-30581	151	5	robustness	robustness	NOUN
fcis-30581	151	6	and	and	CCONJ
fcis-30581	151	7	detection	detection	NOUN
fcis-30581	151	8	accuracy	accuracy	NOUN
fcis-30581	151	9	in	in	ADP
fcis-30581	151	10	challenging	challenge	VERB
fcis-30581	151	11	scenarios	scenario	NOUN
fcis-30581	151	12	such	such	ADJ
fcis-30581	151	13	as	as	ADP
fcis-30581	151	14	adverse	adverse	ADJ
fcis-30581	151	15	weather	weather	NOUN
fcis-30581	151	16	and	and	CCONJ
fcis-30581	151	17	complex	complex	ADJ
fcis-30581	151	18	traffic	traffic	NOUN
fcis-30581	151	19	conditions	condition	NOUN
fcis-30581	151	20	.	.	PUNCT
fcis-30581	152	1	however	however	ADV
fcis-30581	152	2	,	,	PUNCT
fcis-30581	152	3	the	the	DET
fcis-30581	152	4	model	model	NOUN
fcis-30581	152	5	's	's	PART
fcis-30581	152	6	increased	increase	VERB
fcis-30581	152	7	parameter	parameter	NOUN
fcis-30581	152	8	count	count	NOUN
fcis-30581	152	9	results	result	NOUN
fcis-30581	152	10	in	in	ADP
fcis-30581	152	11	slower	slow	ADJ
fcis-30581	152	12	detection	detection	NOUN
fcis-30581	152	13	speeds	speed	NOUN
fcis-30581	152	14	.	.	PUNCT
fcis-30581	153	1	consequently	consequently	ADV
fcis-30581	153	2	,	,	PUNCT
fcis-30581	153	3	future	future	ADJ
fcis-30581	153	4	work	work	NOUN
fcis-30581	153	5	will	will	AUX
fcis-30581	153	6	focus	focus	VERB
fcis-30581	153	7	on	on	ADP
fcis-30581	153	8	model	model	NOUN
fcis-30581	153	9	lightweighting	lightweighte	VERB
fcis-30581	153	10	to	to	PART
fcis-30581	153	11	enhance	enhance	VERB
fcis-30581	153	12	inference	inference	NOUN
fcis-30581	153	13	speed	speed	NOUN
fcis-30581	153	14	while	while	SCONJ
fcis-30581	153	15	preserving	preserve	VERB
fcis-30581	153	16	accuracy	accuracy	NOUN
fcis-30581	153	17	and	and	CCONJ
fcis-30581	153	18	robustness	robustness	NOUN
fcis-30581	153	19	,	,	PUNCT
fcis-30581	153	20	ensuring	ensure	VERB
fcis-30581	153	21	the	the	DET
fcis-30581	153	22	model	model	NOUN
fcis-30581	153	23	is	be	AUX
fcis-30581	153	24	better	well	ADV
fcis-30581	153	25	suited	suit	VERB
fcis-30581	153	26	for	for	ADP
fcis-30581	153	27	efficient	efficient	ADJ
fcis-30581	153	28	real	real	ADJ
fcis-30581	153	29	-	-	PUNCT
fcis-30581	153	30	time	time	NOUN
fcis-30581	153	31	processing	processing	NOUN
fcis-30581	153	32	demands	demand	NOUN
fcis-30581	153	33	.	.	PUNCT
fcis-30581	154	1	acknowledgments	acknowledgment	NOUN
fcis-30581	154	2	this	this	DET
fcis-30581	154	3	study	study	NOUN
fcis-30581	154	4	was	be	AUX
fcis-30581	154	5	funded	fund	VERB
fcis-30581	154	6	by	by	ADP
fcis-30581	154	7	liaoning	liaoning	PROPN
fcis-30581	154	8	province	province	PROPN
fcis-30581	154	9	graduate	graduate	PROPN
fcis-30581	154	10	education	education	NOUN
fcis-30581	154	11	teaching	teach	VERB
fcis-30581	154	12	reform	reform	NOUN
fcis-30581	154	13	research	research	NOUN
fcis-30581	154	14	project	project	NOUN
fcis-30581	154	15	(	(	PUNCT
fcis-30581	154	16	lnyjg2024092	lnyjg2024092	PROPN
fcis-30581	154	17	)	)	PUNCT
fcis-30581	154	18	and	and	CCONJ
fcis-30581	154	19	liaoning	liaoning	PROPN
fcis-30581	154	20	university	university	PROPN
fcis-30581	154	21	of	of	ADP
fcis-30581	154	22	science	science	NOUN
fcis-30581	154	23	and	and	CCONJ
fcis-30581	154	24	technology	technology	NOUN
fcis-30581	154	25	college	college	NOUN
fcis-30581	154	26	students	student	NOUN
fcis-30581	154	27	'	'	PART
fcis-30581	154	28	innovation	innovation	NOUN
fcis-30581	154	29	and	and	CCONJ
fcis-30581	154	30	entrepreneurship	entrepreneurship	NOUN
fcis-30581	154	31	training	training	NOUN
fcis-30581	154	32	programme	programme	NOUN
fcis-30581	154	33	project	project	NOUN
fcis-30581	154	34	funding	funding	NOUN
fcis-30581	154	35	support	support	NOUN
fcis-30581	155	1	no	no	INTJ
fcis-30581	155	2	:	:	PUNCT
fcis-30581	155	3	s20211146002x	s20211146002x	PROPN
fcis-30581	155	4	.	.	NOUN
fcis-30581	155	5	references	reference	NOUN
fcis-30581	155	6	[	[	X
fcis-30581	155	7	1	1	NUM
fcis-30581	155	8	]	]	PUNCT
fcis-30581	155	9	x.	x.	PROPN
fcis-30581	155	10	zhang	zhang	PROPN
fcis-30581	155	11	,	,	PUNCT
fcis-30581	155	12	l.	l.	PROPN
fcis-30581	155	13	zhang	zhang	PROPN
fcis-30581	155	14	,	,	PUNCT
fcis-30581	155	15	c.	c.	PROPN
fcis-30581	155	16	liu	liu	PROPN
fcis-30581	155	17	,	,	PUNCT
fcis-30581	155	18	x.	x.	PROPN
fcis-30581	155	19	yang	yang	PROPN
fcis-30581	155	20	,	,	PUNCT
fcis-30581	155	21	and	and	CCONJ
fcis-30581	155	22	q.	q.	PROPN
fcis-30581	155	23	tian	tian	PROPN
fcis-30581	155	24	,	,	PUNCT
fcis-30581	155	25	"	"	PUNCT
fcis-30581	155	26	vehicle	vehicle	NOUN
fcis-30581	155	27	detection	detection	NOUN
fcis-30581	155	28	and	and	CCONJ
fcis-30581	155	29	classification	classification	NOUN
fcis-30581	155	30	in	in	ADP
fcis-30581	155	31	traffic	traffic	NOUN
fcis-30581	155	32	surveillance	surveillance	NOUN
fcis-30581	155	33	using	use	VERB
fcis-30581	155	34	convolutional	convolutional	ADJ
fcis-30581	155	35	neural	neural	ADJ
fcis-30581	155	36	networks	network	NOUN
fcis-30581	155	37	,	,	PUNCT
fcis-30581	155	38	"	"	PUNCT
fcis-30581	155	39	*	*	PUNCT
fcis-30581	155	40	ieee	ieee	NOUN
fcis-30581	155	41	transactions	transaction	NOUN
fcis-30581	155	42	on	on	ADP
fcis-30581	155	43	intelligent	intelligent	ADJ
fcis-30581	155	44	transportation	transportation	NOUN
fcis-30581	155	45	systems	system	NOUN
fcis-30581	155	46	*	*	PUNCT
fcis-30581	155	47	,	,	PUNCT
fcis-30581	155	48	vol	vol	NOUN
fcis-30581	155	49	.	.	PROPN
fcis-30581	155	50	18	18	NUM
fcis-30581	155	51	,	,	PUNCT
fcis-30581	155	52	no	no	INTJ
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fcis-30581	155	54	6	6	NUM
fcis-30581	155	55	,	,	PUNCT
fcis-30581	155	56	pp	pp	ADJ
fcis-30581	155	57	.	.	PUNCT
fcis-30581	155	58	1749	1749	NUM
fcis-30581	155	59	–	–	PUNCT
fcis-30581	155	60	1759	1759	NUM
fcis-30581	155	61	,	,	PUNCT
fcis-30581	155	62	jun	jun	PROPN
fcis-30581	155	63	.	.	PROPN
fcis-30581	155	64	2017	2017	NUM
fcis-30581	155	65	,	,	PUNCT
fcis-30581	155	66	doi	doi	NOUN
fcis-30581	155	67	:	:	PUNCT
fcis-30581	155	68	10.1109	10.1109	NUM
fcis-30581	155	69	/	/	SYM
fcis-30581	155	70	tits.2017.2755953	tits.2017.2755953	ADV
fcis-30581	155	71	.	.	PUNCT
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fcis-30581	156	2	2	2	X
fcis-30581	156	3	]	]	X
fcis-30581	156	4	redmon	redmon	PROPN
fcis-30581	156	5	j	j	PROPN
fcis-30581	156	6	,	,	PUNCT
fcis-30581	156	7	divvala	divvala	PROPN
fcis-30581	156	8	s	s	PROPN
fcis-30581	156	9	,	,	PUNCT
fcis-30581	156	10	girshick	girshick	ADJ
fcis-30581	156	11	r	r	NOUN
fcis-30581	156	12	,	,	PUNCT
fcis-30581	156	13	et	et	PROPN
fcis-30581	156	14	al	al	PROPN
fcis-30581	156	15	.	.	PUNCT
fcis-30581	157	1	"	"	PUNCT
fcis-30581	157	2	you	you	PRON
fcis-30581	157	3	only	only	ADV
fcis-30581	157	4	look	look	VERB
fcis-30581	157	5	once	once	ADV
fcis-30581	157	6	:	:	PUNCT
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fcis-30581	157	8	,	,	PUNCT
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fcis-30581	157	11	time	time	NOUN
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fcis-30581	160	2	-	-	SYM
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fcis-30581	161	15	stronger	strong	ADJ
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fcis-30581	162	2	-	-	NOUN
fcis-30581	162	3	ceedings	ceeding	NOUN
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fcis-30581	162	13	:	:	PUNCT
fcis-30581	162	14	eee,2017:7263	eee,2017:7263	PROPN
fcis-30581	162	15	-	-	PUNCT
fcis-30581	162	16	7271	7271	NUM
fcis-30581	162	17	.	.	PUNCT
fcis-30581	163	1	[	[	X
fcis-30581	163	2	4	4	X
fcis-30581	163	3	]	]	X
fcis-30581	163	4	redmon	redmon	PROPN
fcis-30581	163	5	j	j	PROPN
fcis-30581	163	6	,	,	PUNCT
fcis-30581	163	7	farhadi	farhadi	PROPN
fcis-30581	163	8	a.yolov3	a.yolov3	PROPN
fcis-30581	163	9	:	:	PUNCT
fcis-30581	163	10	an	an	DET
fcis-30581	163	11	incremental	incremental	ADJ
fcis-30581	163	12	improvement	improvement	NOUN
fcis-30581	163	13	.	.	PUNCT
fcis-30581	164	1	arxi	arxi	ADJ
fcis-30581	164	2	preprint	preprint	NOUN
fcis-30581	164	3	,	,	PUNCT
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fcis-30581	164	5	,	,	PUNCT
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fcis-30581	164	9	.	.	PUNCT
fcis-30581	165	1	[	[	X
fcis-30581	165	2	5	5	X
fcis-30581	165	3	]	]	X
fcis-30581	165	4	liu	liu	PROPN
fcis-30581	165	5	w	w	PROPN
fcis-30581	165	6	,	,	PUNCT
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fcis-30581	166	1	"	"	PUNCT
fcis-30581	166	2	ssd	ssd	NOUN
fcis-30581	166	3	:	:	PUNCT
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fcis-30581	166	5	shot	shot	NOUN
fcis-30581	166	6	multibox	multibox	NOUN
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fcis-30581	166	8	.	.	PUNCT
fcis-30581	166	9	"	"	PUNCT
fcis-30581	167	1	european	european	ADJ
fcis-30581	167	2	conference	conference	NOUN
fcis-30581	167	3	on	on	ADP
fcis-30581	167	4	computer	computer	NOUN
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fcis-30581	167	6	.	.	PUNCT
fcis-30581	168	1	cham	cham	PROPN
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fcis-30581	168	6	:	:	PUNCT
fcis-30581	169	1	pp	pp	ADJ
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fcis-30581	170	2	-	-	SYM
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fcis-30581	171	17	dssd	dssd	PROPN
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fcis-30581	171	21	detector	detector	NOUN
fcis-30581	171	22	.	.	PUNCT
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fcis-30581	172	5	,	,	PUNCT
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fcis-30581	172	7	:	:	PUNCT
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fcis-30581	172	9	.	.	PUNCT
fcis-30581	173	1	[	[	X
fcis-30581	173	2	7	7	X
fcis-30581	173	3	]	]	X
fcis-30581	173	4	li	li	PROPN
fcis-30581	173	5	z	z	PROPN
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fcis-30581	173	12	fusion	fusion	NOUN
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fcis-30581	173	14	shot	shot	NOUN
fcis-30581	173	15	multibox	multibox	NOUN
fcis-30581	173	16	detector	detector	NOUN
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fcis-30581	174	1	arxi	arxi	ADJ
fcis-30581	174	2	preprint	preprint	NOUN
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fcis-30581	174	5	,	,	PUNCT
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fcis-30581	175	14	pedestrian	pedestrian	NOUN
fcis-30581	175	15	detection	detection	NOUN
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fcis-30581	175	17	addressing	address	VERB
fcis-30581	175	18	modality	modality	NOUN
fcis-30581	175	19	imbalance	imbalance	NOUN
fcis-30581	175	20	problems	problem	NOUN
fcis-30581	175	21	[	[	X
fcis-30581	175	22	c]//	c]//	PROPN
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fcis-30581	175	49	.	.	PUNCT
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fcis-30581	177	2	-	-	SYM
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fcis-30581	177	4	.	.	PUNCT
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fcis-30581	178	3	]	]	PUNCT
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fcis-30581	179	4	48:11	48:11	NUM
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fcis-30581	179	7	,	,	PUNCT
fcis-30581	179	8	08	08	NUM
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fcis-30581	180	5	8	8	NUM
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fcis-30581	181	9	,	,	PUNCT
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fcis-30581	181	11	,	,	PUNCT
fcis-30581	181	12	&	&	CCONJ
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fcis-30581	182	4	-	-	PUNCT
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fcis-30581	182	7	-	-	ADJ
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fcis-30581	183	5	ieee	ieee	NOUN
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fcis-30581	183	11	(	(	PUNCT
fcis-30581	183	12	iccv	iccv	PROPN
fcis-30581	183	13	)	)	PUNCT
fcis-30581	183	14	,	,	PUNCT
fcis-30581	183	15	3627	3627	NUM
fcis-30581	183	16	-	-	SYM
fcis-30581	183	17	3635	3635	NUM
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fcis-30581	184	1	[	[	X
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fcis-30581	184	3	]	]	X
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fcis-30581	184	13	li	li	PROPN
fcis-30581	184	14	,	,	PUNCT
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fcis-30581	184	16	(	(	PUNCT
fcis-30581	184	17	2019	2019	NUM
fcis-30581	184	18	)	)	PUNCT
fcis-30581	184	19	.	.	PUNCT
fcis-30581	185	1	multi	multi	ADJ
fcis-30581	185	2	-	-	ADJ
fcis-30581	185	3	scale	scale	ADJ
fcis-30581	185	4	convolutional	convolutional	ADJ
fcis-30581	185	5	neural	neural	ADJ
fcis-30581	185	6	networks	network	NOUN
fcis-30581	185	7	for	for	ADP
fcis-30581	185	8	robust	robust	ADJ
fcis-30581	185	9	road	road	NOUN
fcis-30581	185	10	detection	detection	NOUN
fcis-30581	185	11	.	.	PUNCT
fcis-30581	186	1	journal	journal	NOUN
fcis-30581	186	2	of	of	ADP
fcis-30581	186	3	visual	visual	ADJ
fcis-30581	186	4	communication	communication	NOUN
fcis-30581	186	5	and	and	CCONJ
fcis-30581	186	6	image	image	NOUN
fcis-30581	186	7	representation	representation	NOUN
fcis-30581	186	8	,	,	PUNCT
fcis-30581	186	9	64	64	NUM
fcis-30581	186	10	,	,	PUNCT
fcis-30581	186	11	1	1	NUM
fcis-30581	186	12	-	-	SYM
fcis-30581	186	13	9	9	NUM
fcis-30581	186	14	.	.	PUNCT
fcis-30581	187	1	[	[	X
fcis-30581	187	2	12	12	NUM
fcis-30581	187	3	]	]	X
fcis-30581	187	4	zhou	zhou	PROPN
fcis-30581	187	5	,	,	PUNCT
fcis-30581	187	6	c.	c.	PROPN
fcis-30581	187	7	,	,	PUNCT
fcis-30581	187	8	&	&	CCONJ
fcis-30581	187	9	li	li	PROPN
fcis-30581	187	10	,	,	PUNCT
fcis-30581	187	11	z.	z.	PROPN
fcis-30581	187	12	(	(	PUNCT
fcis-30581	187	13	2023	2023	NUM
fcis-30581	187	14	)	)	PUNCT
fcis-30581	187	15	.	.	PUNCT
fcis-30581	188	1	small	small	ADJ
fcis-30581	188	2	object	object	NOUN
fcis-30581	188	3	detection	detection	NOUN
fcis-30581	188	4	in	in	ADP
fcis-30581	188	5	traffic	traffic	NOUN
fcis-30581	188	6	scenes	scene	NOUN
fcis-30581	188	7	using	use	VERB
fcis-30581	188	8	dual	dual	ADJ
fcis-30581	188	9	-	-	PUNCT
fcis-30581	188	10	attention	attention	NOUN
fcis-30581	188	11	networks	network	NOUN
fcis-30581	188	12	.	.	PUNCT
fcis-30581	189	1	journal	journal	NOUN
fcis-30581	189	2	of	of	ADP
fcis-30581	189	3	machine	machine	NOUN
fcis-30581	189	4	learning	learn	VERB
fcis-30581	189	5	research	research	NOUN
fcis-30581	189	6	,	,	PUNCT
fcis-30581	189	7	24(95	24(95	NUM
fcis-30581	189	8	)	)	PUNCT
fcis-30581	189	9	,	,	PUNCT
fcis-30581	189	10	1	1	NUM
fcis-30581	189	11	-	-	SYM
fcis-30581	189	12	15	15	NUM
fcis-30581	189	13	.	.	PUNCT
fcis-30581	190	1	[	[	X
fcis-30581	190	2	13	13	NUM
fcis-30581	190	3	]	]	SYM
fcis-30581	190	4	jocher	jocher	PROPN
fcis-30581	190	5	,	,	PUNCT
fcis-30581	190	6	g.	g.	PROPN
fcis-30581	190	7	,	,	PUNCT
fcis-30581	190	8	chaurasia	chaurasia	PROPN
fcis-30581	190	9	,	,	PUNCT
fcis-30581	190	10	a.	a.	PROPN
fcis-30581	190	11	,	,	PUNCT
fcis-30581	190	12	qiu	qiu	PROPN
fcis-30581	190	13	,	,	PUNCT
fcis-30581	190	14	j.	j.	PROPN
fcis-30581	190	15	:	:	PUNCT
fcis-30581	190	16	yolo	yolo	ADJ
fcis-30581	190	17	by	by	ADP
fcis-30581	190	18	ultralytics	ultralytic	NOUN
fcis-30581	190	19	(	(	PUNCT
fcis-30581	190	20	version	version	NOUN
fcis-30581	190	21	8.0.0	8.0.0	NUM
fcis-30581	190	22	)	)	PUNCT
fcis-30581	190	23	.	.	PUNCT
fcis-30581	191	1	github	github	PROPN
fcis-30581	191	2	(	(	PUNCT
fcis-30581	191	3	2023	2023	NUM
fcis-30581	191	4	)	)	PUNCT
fcis-30581	191	5	.	.	PUNCT
fcis-30581	192	1	[	[	X
fcis-30581	192	2	14	14	NUM
fcis-30581	192	3	]	]	X
fcis-30581	192	4	woo	woo	NOUN
fcis-30581	192	5	s	s	PROPN
fcis-30581	192	6	,	,	PUNCT
fcis-30581	192	7	park	park	PROPN
fcis-30581	192	8	j	j	PROPN
fcis-30581	192	9	,	,	PUNCT
fcis-30581	192	10	lee	lee	PROPN
fcis-30581	192	11	j	j	PROPN
fcis-30581	192	12	y	y	PROPN
fcis-30581	192	13	,	,	PUNCT
fcis-30581	192	14	et	et	PROPN
fcis-30581	192	15	al	al	PROPN
fcis-30581	192	16	.	.	PUNCT
fcis-30581	192	17	cbam	cbam	NOUN
fcis-30581	192	18	:	:	PUNCT
fcis-30581	192	19	convolutional	convolutional	ADJ
fcis-30581	192	20	block	block	NOUN
fcis-30581	192	21	attention	attention	NOUN
fcis-30581	192	22	module[m]∥ferrari	module[m]∥ferrari	PROPN
fcis-30581	192	23	v	v	NOUN
fcis-30581	192	24	,	,	PUNCT
fcis-30581	192	25	hebert	hebert	PROPN
fcis-30581	192	26	m	m	PROPN
fcis-30581	192	27	,	,	PUNCT
fcis-30581	192	28	sminchisescu	sminchisescu	PROPN
fcis-30581	192	29	c	c	NOUN
fcis-30581	192	30	,	,	PUNCT
fcis-30581	192	31	et	et	PROPN
fcis-30581	192	32	al	al	PROPN
fcis-30581	192	33	.	.	PUNCT
fcis-30581	193	1	computer	computer	NOUN
fcis-30581	193	2	vision	vision	NOUN
fcis-30581	193	3	-	-	PUNCT
fcis-30581	193	4	eccv	eccv	ADV
fcis-30581	193	5	2018.lecture	2018.lecture	NUM
fcis-30581	193	6	notes	note	NOUN
fcis-30581	193	7	in	in	ADP
fcis-30581	193	8	computer	computer	NOUN
fcis-30581	193	9	science	science	NOUN
fcis-30581	193	10	.	.	PUNCT
fcis-30581	194	1	cham	cham	PROPN
fcis-30581	194	2	:	:	PUNCT
fcis-30581	194	3	springer,2018	springer,2018	NOUN
fcis-30581	194	4	,	,	PUNCT
fcis-30581	194	5	11211	11211	NUM
fcis-30581	194	6	:	:	PUNCT
fcis-30581	195	1	3	3	NUM
fcis-30581	195	2	-	-	SYM
fcis-30581	195	3	19	19	NUM
fcis-30581	195	4	.	.	PUNCT
fcis-30581	196	1	[	[	X
fcis-30581	196	2	15	15	NUM
fcis-30581	196	3	]	]	X
fcis-30581	196	4	ding	ding	NOUN
fcis-30581	196	5	x	x	SYM
fcis-30581	196	6	h	h	NOUN
fcis-30581	196	7	,	,	PUNCT
fcis-30581	196	8	zhang	zhang	PROPN
fcis-30581	196	9	x	x	SYM
fcis-30581	196	10	y	y	PROPN
fcis-30581	196	11	,	,	PUNCT
fcis-30581	196	12	hanjg	hanjg	PROPN
fcis-30581	196	13	,	,	PUNCT
fcis-30581	196	14	et	et	PROPN
fcis-30581	196	15	al	al	PROPN
fcis-30581	196	16	.	.	PROPN
fcis-30581	197	1	diverse	diverse	ADJ
fcis-30581	197	2	branch	branch	NOUN
fcis-30581	197	3	block	block	NOUN
fcis-30581	197	4	:	:	PUNCT
fcis-30581	197	5	building	build	VERB
fcis-30581	197	6	a	a	DET
fcis-30581	197	7	convolution	convolution	NOUN
fcis-30581	197	8	as	as	ADP
fcis-30581	197	9	an	an	DET
fcis-30581	197	10	inception	inception	NOUN
fcis-30581	197	11	-	-	PUNCT
fcis-30581	197	12	like	like	ADJ
fcis-30581	197	13	unit[c]∥	unit[c]∥	PROPN
fcis-30581	197	14	proceedings	proceeding	NOUN
fcis-30581	197	15	of	of	ADP
fcis-30581	197	16	the	the	DET
fcis-30581	197	17	ieee	ieee	NOUN
fcis-30581	197	18	conference	conference	NOUN
fcis-30581	197	19	on	on	ADP
fcis-30581	197	20	computer	computer	NOUN
fcis-30581	197	21	visionand	visionand	NOUN
fcis-30581	197	22	pattern	pattern	NOUN
fcis-30581	197	23	recognition	recognition	NOUN
fcis-30581	197	24	.	.	PUNCT
fcis-30581	198	1	2021:10886	2021:10886	NUM
fcis-30581	198	2	-	-	SYM
fcis-30581	198	3	10895	10895	NUM
fcis-30581	198	4	.	.	PUNCT
fcis-30581	199	1	[	[	X
fcis-30581	199	2	16	16	NUM
fcis-30581	199	3	]	]	X
fcis-30581	199	4	liu	liu	PROPN
fcis-30581	199	5	j	j	PROPN
fcis-30581	199	6	,	,	PUNCT
fcis-30581	199	7	fan	fan	PROPN
fcis-30581	199	8	x	x	PROPN
fcis-30581	199	9	,	,	PUNCT
fcis-30581	199	10	huang	huang	PROPN
fcis-30581	199	11	z	z	PROPN
fcis-30581	199	12	,	,	PUNCT
fcis-30581	199	13	et	et	PROPN
fcis-30581	199	14	al	al	PROPN
fcis-30581	199	15	.	.	PROPN
fcis-30581	199	16	target	target	NOUN
fcis-30581	199	17	-	-	PUNCT
fcis-30581	199	18	aware	aware	ADJ
fcis-30581	199	19	dual	dual	ADJ
fcis-30581	199	20	adversarial	adversarial	ADJ
fcis-30581	199	21	learn	learn	NOUN
fcis-30581	199	22	-	-	PUNCT
fcis-30581	199	23	ing	ing	NOUN
fcis-30581	199	24	and	and	CCONJ
fcis-30581	199	25	a	a	DET
fcis-30581	199	26	multi	multi	ADJ
fcis-30581	199	27	-	-	ADJ
fcis-30581	199	28	scenario	scenario	ADJ
fcis-30581	199	29	multi	multi	ADJ
fcis-30581	199	30	-	-	ADJ
fcis-30581	199	31	modality	modality	ADJ
fcis-30581	199	32	benchmark	benchmark	NOUN
fcis-30581	199	33	to	to	PART
fcis-30581	199	34	fuse	fuse	VERB
fcis-30581	199	35	infraredand	infraredand	NOUN
fcis-30581	199	36	visible	visible	ADJ
fcis-30581	199	37	for	for	ADP
fcis-30581	199	38	object	object	NOUN
fcis-30581	199	39	detection	detection	NOUN
fcis-30581	199	40	,	,	PUNCT
fcis-30581	199	41	proceedings	proceeding	NOUN
fcis-30581	199	42	ofthe	ofthe	VERB
fcis-30581	199	43	ieee	ieee	PROPN
fcis-30581	199	44	/	/	SYM
fcis-30581	199	45	cvf	cvf	NOUN
fcis-30581	199	46	con	con	NOUN
fcis-30581	199	47	-	-	PUNCT
fcis-30581	199	48	ference	ference	NOUN
fcis-30581	199	49	on	on	ADP
fcis-30581	199	50	computer	computer	NOUN
fcis-30581	199	51	vision	vision	NOUN
fcis-30581	199	52	and	and	CCONJ
fcis-30581	199	53	pattern	pattern	NOUN
fcis-30581	199	54	recognition	recognition	NOUN
fcis-30581	199	55	(	(	PUNCT
fcis-30581	199	56	cvpr	cvpr	NOUN
fcis-30581	199	57	)	)	PUNCT
fcis-30581	199	58	.	.	PUNCT
fcis-30581	200	1	neworleans	neworlean	NOUN
fcis-30581	200	2	:	:	PUNCT
fcis-30581	200	3	ieee,2022:5802	ieee,2022:5802	NOUN
fcis-30581	200	4	-	-	VERB
fcis-30581	200	5	5811	5811	NUM
fcis-30581	200	6	.	.	PUNCT
fcis-30581	201	1	[	[	X
fcis-30581	201	2	17	17	NUM
fcis-30581	201	3	]	]	X
fcis-30581	201	4	jinyuan	jinyuan	PROPN
fcis-30581	201	5	liu	liu	PROPN
fcis-30581	201	6	,	,	PUNCT
fcis-30581	201	7	xin	xin	PROPN
fcis-30581	201	8	fan	fan	PROPN
fcis-30581	201	9	,	,	PUNCT
fcis-30581	201	10	zhanbo	zhanbo	PROPN
fcis-30581	201	11	huang	huang	PROPN
fcis-30581	201	12	,	,	PUNCT
fcis-30581	201	13	guanyao	guanyao	PROPN
fcis-30581	201	14	wu	wu	PROPN
fcis-30581	201	15	,	,	PUNCT
fcis-30581	201	16	risheng	risheng	PROPN
fcis-30581	201	17	liu	liu	PROPN
fcis-30581	201	18	,	,	PUNCT
fcis-30581	201	19	wei	wei	PROPN
fcis-30581	201	20	zhong	zhong	PROPN
fcis-30581	201	21	,	,	PUNCT
fcis-30581	201	22	and	and	CCONJ
fcis-30581	201	23	zhongxuan	zhongxuan	PROPN
fcis-30581	201	24	luo	luo	PROPN
fcis-30581	201	25	.	.	PROPN
fcis-30581	201	26	2022	2022	NUM
fcis-30581	201	27	.	.	PUNCT
fcis-30581	202	1	target	target	NOUN
fcis-30581	202	2	-	-	PUNCT
fcis-30581	202	3	aware	aware	ADJ
fcis-30581	202	4	dual	dual	ADJ
fcis-30581	202	5	adversarial	adversarial	ADJ
fcis-30581	202	6	learning	learning	NOUN
fcis-30581	202	7	and	and	CCONJ
fcis-30581	202	8	a	a	DET
fcis-30581	202	9	multiscenario	multiscenario	NOUN
fcis-30581	202	10	multi	multi	ADJ
fcis-30581	202	11	-	-	ADJ
fcis-30581	202	12	modality	modality	ADJ
fcis-30581	202	13	benchmark	benchmark	NOUN
fcis-30581	202	14	to	to	PART
fcis-30581	202	15	fuse	fuse	VERB
fcis-30581	202	16	infrared	infrared	ADJ
fcis-30581	202	17	and	and	CCONJ
fcis-30581	202	18	visible	visible	ADJ
fcis-30581	202	19	for	for	ADP
fcis-30581	202	20	object	object	NOUN
fcis-30581	202	21	detection	detection	NOUN
fcis-30581	202	22	.	.	PUNCT
fcis-30581	203	1	in	in	ADP
fcis-30581	203	2	proceedings	proceeding	NOUN
fcis-30581	203	3	of	of	ADP
fcis-30581	203	4	the	the	DET
fcis-30581	203	5	ieee	ieee	NOUN
fcis-30581	203	6	/	/	SYM
fcis-30581	203	7	cvf	cvf	NOUN
fcis-30581	203	8	conference	conference	NOUN
fcis-30581	203	9	on	on	ADP
fcis-30581	203	10	computer	computer	NOUN
fcis-30581	203	11	vision	vision	NOUN
fcis-30581	203	12	and	and	CCONJ
fcis-30581	203	13	pattern	pattern	NOUN
fcis-30581	203	14	recognition	recognition	NOUN
fcis-30581	203	15	.	.	PUNCT
fcis-30581	204	1	5802–5811	5802–5811	X
fcis-30581	204	2	.	.	PUNCT