id	sid	tid	token	lemma	pos
fcis-21118	1	1	frontiers	frontier	NOUN
fcis-21118	1	2	in	in	ADP
fcis-21118	1	3	computing	computing	NOUN
fcis-21118	1	4	and	and	CCONJ
fcis-21118	1	5	intelligent	intelligent	ADJ
fcis-21118	1	6	systems	system	NOUN
fcis-21118	1	7	issn	issn	VERB
fcis-21118	1	8	:	:	PUNCT
fcis-21118	1	9	2832	2832	NUM
fcis-21118	1	10	-	-	SYM
fcis-21118	1	11	6024	6024	NUM
fcis-21118	1	12	|	|	NOUN
fcis-21118	1	13	vol	vol	NOUN
fcis-21118	1	14	.	.	PROPN
fcis-21118	2	1	8	8	NUM
fcis-21118	2	2	,	,	PUNCT
fcis-21118	2	3	no	no	INTJ
fcis-21118	2	4	.	.	NOUN
fcis-21118	2	5	1	1	NUM
fcis-21118	2	6	,	,	PUNCT
fcis-21118	2	7	2024	2024	NUM
fcis-21118	2	8	122	122	NUM
fcis-21118	2	9	subway	subway	NOUN
fcis-21118	2	10	tunnel	tunnel	NOUN
fcis-21118	2	11	crack	crack	NOUN
fcis-21118	2	12	identification	identification	NOUN
fcis-21118	2	13	based	base	VERB
fcis-21118	2	14	on	on	ADP
fcis-21118	2	15	yolov5	yolov5	PROPN
fcis-21118	2	16	chongbin	chongbin	PROPN
fcis-21118	2	17	mei	mei	PROPN
fcis-21118	2	18	,	,	PUNCT
fcis-21118	2	19	yucheng	yucheng	PROPN
fcis-21118	2	20	wen	wen	PROPN
fcis-21118	2	21	beijing	beijing	PROPN
fcis-21118	2	22	university	university	PROPN
fcis-21118	2	23	of	of	ADP
fcis-21118	2	24	technology	technology	PROPN
fcis-21118	2	25	,	,	PUNCT
fcis-21118	2	26	beijing	beijing	PROPN
fcis-21118	2	27	,	,	PUNCT
fcis-21118	2	28	china	china	PROPN
fcis-21118	2	29	abstract	abstract	PROPN
fcis-21118	2	30	:	:	PUNCT
fcis-21118	2	31	in	in	ADP
fcis-21118	2	32	view	view	NOUN
fcis-21118	2	33	of	of	ADP
fcis-21118	2	34	the	the	DET
fcis-21118	2	35	complex	complex	ADJ
fcis-21118	2	36	environment	environment	NOUN
fcis-21118	2	37	in	in	ADP
fcis-21118	2	38	the	the	DET
fcis-21118	2	39	tunnel	tunnel	NOUN
fcis-21118	2	40	and	and	CCONJ
fcis-21118	2	41	the	the	DET
fcis-21118	2	42	uneven	uneven	ADJ
fcis-21118	2	43	lighting	lighting	NOUN
fcis-21118	2	44	of	of	ADP
fcis-21118	2	45	the	the	DET
fcis-21118	2	46	acquisition	acquisition	NOUN
fcis-21118	2	47	system	system	NOUN
fcis-21118	2	48	,	,	PUNCT
fcis-21118	2	49	the	the	DET
fcis-21118	2	50	lining	lining	NOUN
fcis-21118	2	51	images	image	NOUN
fcis-21118	2	52	produced	produce	VERB
fcis-21118	2	53	shadows	shadow	NOUN
fcis-21118	2	54	and	and	CCONJ
fcis-21118	2	55	low	low	ADJ
fcis-21118	2	56	contrast	contrast	NOUN
fcis-21118	2	57	,	,	PUNCT
fcis-21118	2	58	a	a	DET
fcis-21118	2	59	method	method	NOUN
fcis-21118	2	60	of	of	ADP
fcis-21118	2	61	automatic	automatic	ADJ
fcis-21118	2	62	color	color	NOUN
fcis-21118	2	63	equalization	equalization	NOUN
fcis-21118	2	64	combined	combine	VERB
fcis-21118	2	65	with	with	ADP
fcis-21118	2	66	laplacian	laplacian	ADJ
fcis-21118	2	67	pyramid	pyramid	NOUN
fcis-21118	2	68	(	(	PUNCT
fcis-21118	2	69	lpace	lpace	NOUN
fcis-21118	2	70	algorithm	algorithm	NOUN
fcis-21118	2	71	for	for	ADP
fcis-21118	2	72	short	short	ADJ
fcis-21118	2	73	)	)	PUNCT
fcis-21118	2	74	was	be	AUX
fcis-21118	2	75	proposed	propose	VERB
fcis-21118	2	76	in	in	ADP
fcis-21118	2	77	this	this	DET
fcis-21118	2	78	paper	paper	NOUN
fcis-21118	2	79	.	.	PUNCT
fcis-21118	3	1	the	the	DET
fcis-21118	3	2	computational	computational	ADJ
fcis-21118	3	3	complexity	complexity	NOUN
fcis-21118	3	4	is	be	AUX
fcis-21118	3	5	reduced	reduce	VERB
fcis-21118	3	6	from	from	ADP
fcis-21118	3	7	the	the	DET
fcis-21118	3	8	original	original	ADJ
fcis-21118	3	9	o(n^4	o(n^4	PROPN
fcis-21118	3	10	)	)	PUNCT
fcis-21118	3	11	to	to	ADP
fcis-21118	3	12	o	o	PROPN
fcis-21118	3	13	)	)	PUNCT
fcis-21118	3	14	,	,	PUNCT
fcis-21118	3	15	which	which	PRON
fcis-21118	3	16	significantly	significantly	ADV
fcis-21118	3	17	reduces	reduce	VERB
fcis-21118	3	18	the	the	DET
fcis-21118	3	19	amount	amount	NOUN
fcis-21118	3	20	of	of	ADP
fcis-21118	3	21	image	image	NOUN
fcis-21118	3	22	computation	computation	NOUN
fcis-21118	3	23	and	and	CCONJ
fcis-21118	3	24	greatly	greatly	ADV
fcis-21118	3	25	improves	improve	VERB
fcis-21118	3	26	the	the	DET
fcis-21118	3	27	working	work	VERB
fcis-21118	3	28	efficiency	efficiency	NOUN
fcis-21118	3	29	.	.	PUNCT
fcis-21118	4	1	due	due	ADP
fcis-21118	4	2	to	to	ADP
fcis-21118	4	3	the	the	DET
fcis-21118	4	4	problems	problem	NOUN
fcis-21118	4	5	such	such	ADJ
fcis-21118	4	6	as	as	ADP
fcis-21118	4	7	short	short	ADJ
fcis-21118	4	8	time	time	NOUN
fcis-21118	4	9	to	to	PART
fcis-21118	4	10	identify	identify	VERB
fcis-21118	4	11	skylights	skylight	NOUN
fcis-21118	4	12	for	for	ADP
fcis-21118	4	13	cracks	crack	NOUN
fcis-21118	4	14	in	in	ADP
fcis-21118	4	15	key	key	ADJ
fcis-21118	4	16	areas	area	NOUN
fcis-21118	4	17	of	of	ADP
fcis-21118	4	18	subway	subway	NOUN
fcis-21118	4	19	tunnel	tunnel	NOUN
fcis-21118	4	20	,	,	PUNCT
fcis-21118	4	21	slow	slow	ADJ
fcis-21118	4	22	efficiency	efficiency	NOUN
fcis-21118	4	23	of	of	ADP
fcis-21118	4	24	manual	manual	ADJ
fcis-21118	4	25	method	method	NOUN
fcis-21118	4	26	,	,	PUNCT
fcis-21118	4	27	inaccurate	inaccurate	ADJ
fcis-21118	4	28	and	and	CCONJ
fcis-21118	4	29	difficult	difficult	ADJ
fcis-21118	4	30	identification	identification	NOUN
fcis-21118	4	31	,	,	PUNCT
fcis-21118	4	32	an	an	DET
fcis-21118	4	33	improved	improved	ADJ
fcis-21118	4	34	algorithm	algorithm	NOUN
fcis-21118	4	35	for	for	ADP
fcis-21118	4	36	key	key	ADJ
fcis-21118	4	37	areas	area	NOUN
fcis-21118	4	38	of	of	ADP
fcis-21118	4	39	power	power	NOUN
fcis-21118	4	40	plant	plant	NOUN
fcis-21118	4	41	based	base	VERB
fcis-21118	4	42	on	on	ADP
fcis-21118	4	43	yolo	yolo	ADJ
fcis-21118	4	44	v5	v5	PROPN
fcis-21118	4	45	was	be	AUX
fcis-21118	4	46	proposed	propose	VERB
fcis-21118	4	47	:	:	PUNCT
fcis-21118	4	48	sd	sd	NOUN
fcis-21118	4	49	-	-	PUNCT
fcis-21118	4	50	yolo	yolo	NOUN
fcis-21118	4	51	.	.	PUNCT
fcis-21118	5	1	ghost	ghost	NOUN
fcis-21118	5	2	module	module	NOUN
fcis-21118	5	3	is	be	AUX
fcis-21118	5	4	used	use	VERB
fcis-21118	5	5	to	to	PART
fcis-21118	5	6	replace	replace	VERB
fcis-21118	5	7	the	the	DET
fcis-21118	5	8	traditional	traditional	ADJ
fcis-21118	5	9	convolutional	convolutional	ADJ
fcis-21118	5	10	module	module	NOUN
fcis-21118	5	11	to	to	PART
fcis-21118	5	12	reduce	reduce	VERB
fcis-21118	5	13	the	the	DET
fcis-21118	5	14	model	model	NOUN
fcis-21118	5	15	parameters	parameter	NOUN
fcis-21118	5	16	and	and	CCONJ
fcis-21118	5	17	improve	improve	VERB
fcis-21118	5	18	the	the	DET
fcis-21118	5	19	detection	detection	NOUN
fcis-21118	5	20	accuracy	accuracy	NOUN
fcis-21118	5	21	.	.	PUNCT
fcis-21118	6	1	the	the	DET
fcis-21118	6	2	feature	feature	NOUN
fcis-21118	6	3	learning	learn	VERB
fcis-21118	6	4	and	and	CCONJ
fcis-21118	6	5	feature	feature	NOUN
fcis-21118	6	6	extraction	extraction	NOUN
fcis-21118	6	7	of	of	ADP
fcis-21118	6	8	crack	crack	NOUN
fcis-21118	6	9	region	region	NOUN
fcis-21118	6	10	images	image	NOUN
fcis-21118	6	11	are	be	AUX
fcis-21118	6	12	enhanced	enhance	VERB
fcis-21118	6	13	by	by	ADP
fcis-21118	6	14	the	the	DET
fcis-21118	6	15	fusion	fusion	NOUN
fcis-21118	6	16	of	of	ADP
fcis-21118	6	17	cbam	cbam	NOUN
fcis-21118	6	18	focus	focus	NOUN
fcis-21118	6	19	mechanism	mechanism	NOUN
fcis-21118	6	20	modules	module	NOUN
fcis-21118	6	21	,	,	PUNCT
fcis-21118	6	22	while	while	SCONJ
fcis-21118	6	23	the	the	DET
fcis-21118	6	24	influence	influence	NOUN
fcis-21118	6	25	of	of	ADP
fcis-21118	6	26	background	background	NOUN
fcis-21118	6	27	on	on	ADP
fcis-21118	6	28	detection	detection	NOUN
fcis-21118	6	29	results	result	NOUN
fcis-21118	6	30	is	be	AUX
fcis-21118	6	31	weakened	weaken	VERB
fcis-21118	6	32	.	.	PUNCT
fcis-21118	7	1	the	the	DET
fcis-21118	7	2	bidirectional	bidirectional	ADJ
fcis-21118	7	3	feature	feature	NOUN
fcis-21118	7	4	pyramid	pyramid	NOUN
fcis-21118	7	5	network	network	NOUN
fcis-21118	7	6	is	be	AUX
fcis-21118	7	7	used	use	VERB
fcis-21118	7	8	for	for	ADP
fcis-21118	7	9	multi	multi	ADJ
fcis-21118	7	10	-	-	ADJ
fcis-21118	7	11	scale	scale	ADJ
fcis-21118	7	12	feature	feature	NOUN
fcis-21118	7	13	fusion	fusion	NOUN
fcis-21118	7	14	to	to	PART
fcis-21118	7	15	reduce	reduce	VERB
fcis-21118	7	16	redundant	redundant	ADJ
fcis-21118	7	17	calculation	calculation	NOUN
fcis-21118	7	18	and	and	CCONJ
fcis-21118	7	19	improve	improve	VERB
fcis-21118	7	20	the	the	DET
fcis-21118	7	21	ability	ability	NOUN
fcis-21118	7	22	of	of	ADP
fcis-21118	7	23	the	the	DET
fcis-21118	7	24	algorithm	algorithm	NOUN
fcis-21118	7	25	to	to	PART
fcis-21118	7	26	detect	detect	VERB
fcis-21118	7	27	small	small	ADJ
fcis-21118	7	28	targets	target	NOUN
fcis-21118	7	29	.	.	PUNCT
fcis-21118	8	1	the	the	DET
fcis-21118	8	2	sd	sd	NOUN
fcis-21118	8	3	-	-	PUNCT
fcis-21118	8	4	yolo	yolo	ADJ
fcis-21118	8	5	algorithm	algorithm	NOUN
fcis-21118	8	6	proposed	propose	VERB
fcis-21118	8	7	in	in	ADP
fcis-21118	8	8	this	this	DET
fcis-21118	8	9	paper	paper	NOUN
fcis-21118	8	10	performs	perform	VERB
fcis-21118	8	11	well	well	ADV
fcis-21118	8	12	in	in	ADP
fcis-21118	8	13	real	real	ADJ
fcis-21118	8	14	samples	sample	NOUN
fcis-21118	8	15	,	,	PUNCT
fcis-21118	8	16	with	with	ADP
fcis-21118	8	17	an	an	DET
fcis-21118	8	18	average	average	ADJ
fcis-21118	8	19	accuracy	accuracy	NOUN
fcis-21118	8	20	of	of	ADP
fcis-21118	8	21	93.1	93.1	NUM
fcis-21118	8	22	%	%	NOUN
fcis-21118	8	23	,	,	PUNCT
fcis-21118	8	24	11.3	11.3	NUM
fcis-21118	8	25	percentage	percentage	NOUN
fcis-21118	8	26	points	point	NOUN
fcis-21118	8	27	higher	high	ADJ
fcis-21118	8	28	than	than	ADP
fcis-21118	8	29	the	the	DET
fcis-21118	8	30	original	original	ADJ
fcis-21118	8	31	model	model	NOUN
fcis-21118	8	32	,	,	PUNCT
fcis-21118	8	33	and	and	CCONJ
fcis-21118	8	34	significantly	significantly	ADV
fcis-21118	8	35	reduced	reduce	VERB
fcis-21118	8	36	parameters	parameter	NOUN
fcis-21118	8	37	compared	compare	VERB
fcis-21118	8	38	with	with	ADP
fcis-21118	8	39	the	the	DET
fcis-21118	8	40	original	original	ADJ
fcis-21118	8	41	model	model	NOUN
fcis-21118	8	42	.	.	PUNCT
fcis-21118	9	1	compared	compare	VERB
fcis-21118	9	2	with	with	ADP
fcis-21118	9	3	yolov5s	yolov5s	PROPN
fcis-21118	9	4	under	under	ADP
fcis-21118	9	5	the	the	DET
fcis-21118	9	6	condition	condition	NOUN
fcis-21118	9	7	of	of	ADP
fcis-21118	9	8	reducing	reduce	VERB
fcis-21118	9	9	parameters	parameter	NOUN
fcis-21118	9	10	,	,	PUNCT
fcis-21118	9	11	the	the	DET
fcis-21118	9	12	model	model	NOUN
fcis-21118	9	13	reasoning	reasoning	NOUN
fcis-21118	9	14	speed	speed	NOUN
fcis-21118	9	15	and	and	CCONJ
fcis-21118	9	16	detection	detection	NOUN
fcis-21118	9	17	accuracy	accuracy	NOUN
fcis-21118	9	18	are	be	AUX
fcis-21118	9	19	significantly	significantly	ADV
fcis-21118	9	20	improved	improve	VERB
fcis-21118	9	21	by	by	ADP
fcis-21118	9	22	the	the	DET
fcis-21118	9	23	proposed	propose	VERB
fcis-21118	9	24	method	method	NOUN
fcis-21118	9	25	,	,	PUNCT
fcis-21118	9	26	which	which	PRON
fcis-21118	9	27	can	can	AUX
fcis-21118	9	28	be	be	AUX
fcis-21118	9	29	effectively	effectively	ADV
fcis-21118	9	30	applied	apply	VERB
fcis-21118	9	31	to	to	ADP
fcis-21118	9	32	tunnel	tunnel	NOUN
fcis-21118	9	33	detection	detection	NOUN
fcis-21118	9	34	.	.	PUNCT
fcis-21118	10	1	keywords	keyword	NOUN
fcis-21118	10	2	:	:	PUNCT
fcis-21118	10	3	deep	deep	ADJ
fcis-21118	10	4	learning	learning	NOUN
fcis-21118	10	5	;	;	PUNCT
fcis-21118	10	6	subway	subway	NOUN
fcis-21118	10	7	tunnel	tunnel	NOUN
fcis-21118	10	8	;	;	PUNCT
fcis-21118	10	9	object	object	NOUN
fcis-21118	10	10	detection	detection	NOUN
fcis-21118	10	11	;	;	PUNCT
fcis-21118	10	12	attention	attention	NOUN
fcis-21118	10	13	mechanism	mechanism	NOUN
fcis-21118	10	14	;	;	PUNCT
fcis-21118	10	15	lightweight	lightweight	ADJ
fcis-21118	10	16	network	network	NOUN
fcis-21118	10	17	.	.	PUNCT
fcis-21118	11	1	1	1	X
fcis-21118	11	2	.	.	X
fcis-21118	11	3	preface	preface	NOUN
fcis-21118	11	4	with	with	ADP
fcis-21118	11	5	the	the	DET
fcis-21118	11	6	development	development	NOUN
fcis-21118	11	7	of	of	ADP
fcis-21118	11	8	china	china	PROPN
fcis-21118	11	9	's	's	PART
fcis-21118	11	10	urbanization	urbanization	NOUN
fcis-21118	11	11	process	process	NOUN
fcis-21118	11	12	,	,	PUNCT
fcis-21118	11	13	the	the	DET
fcis-21118	11	14	number	number	NOUN
fcis-21118	11	15	of	of	ADP
fcis-21118	11	16	cars	car	NOUN
fcis-21118	11	17	is	be	AUX
fcis-21118	11	18	increasing	increase	VERB
fcis-21118	11	19	,	,	PUNCT
fcis-21118	11	20	and	and	CCONJ
fcis-21118	11	21	ground	ground	NOUN
fcis-21118	11	22	transportation	transportation	NOUN
fcis-21118	11	23	is	be	AUX
fcis-21118	11	24	becoming	become	VERB
fcis-21118	11	25	more	more	ADV
fcis-21118	11	26	and	and	CCONJ
fcis-21118	11	27	more	more	ADV
fcis-21118	11	28	crowded	crowded	ADJ
fcis-21118	11	29	.	.	PUNCT
fcis-21118	12	1	the	the	DET
fcis-21118	12	2	subway	subway	NOUN
fcis-21118	12	3	can	can	AUX
fcis-21118	12	4	play	play	VERB
fcis-21118	12	5	a	a	DET
fcis-21118	12	6	role	role	NOUN
fcis-21118	12	7	in	in	ADP
fcis-21118	12	8	easing	ease	VERB
fcis-21118	12	9	the	the	DET
fcis-21118	12	10	pressure	pressure	NOUN
fcis-21118	12	11	on	on	ADP
fcis-21118	12	12	ground	ground	NOUN
fcis-21118	12	13	transportation	transportation	NOUN
fcis-21118	12	14	[	[	X
fcis-21118	12	15	1	1	NUM
fcis-21118	12	16	]	]	PUNCT
fcis-21118	12	17	.	.	PUNCT
fcis-21118	13	1	its	its	PRON
fcis-21118	13	2	convenience	convenience	NOUN
fcis-21118	13	3	,	,	PUNCT
fcis-21118	13	4	comfort	comfort	NOUN
fcis-21118	13	5	,	,	PUNCT
fcis-21118	13	6	safety	safety	NOUN
fcis-21118	13	7	and	and	CCONJ
fcis-21118	13	8	other	other	ADJ
fcis-21118	13	9	advantages	advantage	NOUN
fcis-21118	13	10	have	have	AUX
fcis-21118	13	11	become	become	VERB
fcis-21118	13	12	urban	urban	ADJ
fcis-21118	13	13	public	public	ADJ
fcis-21118	13	14	transportation	transportation	NOUN
fcis-21118	13	15	.	.	PUNCT
fcis-21118	14	1	an	an	DET
fcis-21118	14	2	important	important	ADJ
fcis-21118	14	3	part	part	NOUN
fcis-21118	14	4	of	of	ADP
fcis-21118	14	5	the	the	DET
fcis-21118	14	6	system	system	NOUN
fcis-21118	14	7	and	and	CCONJ
fcis-21118	14	8	the	the	DET
fcis-21118	14	9	preferred	preferred	ADJ
fcis-21118	14	10	mode	mode	NOUN
fcis-21118	14	11	of	of	ADP
fcis-21118	14	12	urban	urban	ADJ
fcis-21118	14	13	transportation	transportation	NOUN
fcis-21118	14	14	.	.	PUNCT
fcis-21118	15	1	as	as	ADP
fcis-21118	15	2	of	of	ADP
fcis-21118	15	3	january	january	PROPN
fcis-21118	15	4	2023	2023	NUM
fcis-21118	15	5	,	,	PUNCT
fcis-21118	15	6	29	29	NUM
fcis-21118	15	7	urban	urban	ADJ
fcis-21118	15	8	rail	rail	NOUN
fcis-21118	15	9	transit	transit	NOUN
fcis-21118	15	10	lines	line	NOUN
fcis-21118	15	11	are	be	AUX
fcis-21118	15	12	in	in	ADP
fcis-21118	15	13	operation	operation	NOUN
fcis-21118	15	14	in	in	ADP
fcis-21118	15	15	54	54	NUM
fcis-21118	15	16	cities	city	NOUN
fcis-21118	15	17	,	,	PUNCT
fcis-21118	15	18	with	with	ADP
fcis-21118	15	19	a	a	DET
fcis-21118	15	20	length	length	NOUN
fcis-21118	15	21	of	of	ADP
fcis-21118	15	22	9609.9	9609.9	NUM
fcis-21118	15	23	km	km	NOUN
fcis-21118	15	24	[	[	X
fcis-21118	15	25	2	2	NUM
fcis-21118	15	26	]	]	PUNCT
fcis-21118	15	27	.	.	PUNCT
fcis-21118	16	1	with	with	ADP
fcis-21118	16	2	the	the	DET
fcis-21118	16	3	development	development	NOUN
fcis-21118	16	4	of	of	ADP
fcis-21118	16	5	subway	subway	NOUN
fcis-21118	16	6	tunnels	tunnel	NOUN
fcis-21118	16	7	,	,	PUNCT
fcis-21118	16	8	the	the	DET
fcis-21118	16	9	demand	demand	NOUN
fcis-21118	16	10	for	for	ADP
fcis-21118	16	11	tunnel	tunnel	NOUN
fcis-21118	16	12	detection	detection	NOUN
fcis-21118	16	13	technology	technology	NOUN
fcis-21118	16	14	is	be	AUX
fcis-21118	16	15	also	also	ADV
fcis-21118	16	16	increasing	increase	VERB
fcis-21118	16	17	.	.	PUNCT
fcis-21118	17	1	during	during	ADP
fcis-21118	17	2	tunnel	tunnel	NOUN
fcis-21118	17	3	construction	construction	NOUN
fcis-21118	17	4	and	and	CCONJ
fcis-21118	17	5	operation	operation	NOUN
fcis-21118	17	6	,	,	PUNCT
fcis-21118	17	7	cracks	crack	NOUN
fcis-21118	17	8	,	,	PUNCT
fcis-21118	17	9	platform	platform	NOUN
fcis-21118	17	10	water	water	NOUN
fcis-21118	17	11	accumulation	accumulation	NOUN
fcis-21118	17	12	,	,	PUNCT
fcis-21118	17	13	segment	segment	NOUN
fcis-21118	17	14	leakage	leakage	NOUN
fcis-21118	17	15	,	,	PUNCT
fcis-21118	17	16	underground	underground	ADJ
fcis-21118	17	17	water	water	NOUN
fcis-21118	17	18	pipe	pipe	NOUN
fcis-21118	17	19	rupture	rupture	NOUN
fcis-21118	17	20	and	and	CCONJ
fcis-21118	17	21	other	other	ADJ
fcis-21118	17	22	diseases	disease	NOUN
fcis-21118	17	23	caused	cause	VERB
fcis-21118	17	24	by	by	ADP
fcis-21118	17	25	deformation	deformation	NOUN
fcis-21118	17	26	of	of	ADP
fcis-21118	17	27	underground	underground	ADJ
fcis-21118	17	28	structures	structure	NOUN
fcis-21118	17	29	[	[	X
fcis-21118	17	30	3	3	X
fcis-21118	17	31	]	]	PUNCT
fcis-21118	17	32	will	will	AUX
fcis-21118	17	33	bring	bring	VERB
fcis-21118	17	34	great	great	ADJ
fcis-21118	17	35	safety	safety	NOUN
fcis-21118	17	36	risks	risk	NOUN
fcis-21118	17	37	.	.	PUNCT
fcis-21118	18	1	of	of	ADP
fcis-21118	18	2	these	these	PRON
fcis-21118	18	3	,	,	PUNCT
fcis-21118	18	4	cracks	crack	NOUN
fcis-21118	18	5	are	be	AUX
fcis-21118	18	6	the	the	DET
fcis-21118	18	7	most	most	ADV
fcis-21118	18	8	common	common	ADJ
fcis-21118	18	9	form	form	NOUN
fcis-21118	18	10	of	of	ADP
fcis-21118	18	11	the	the	DET
fcis-21118	18	12	disease	disease	NOUN
fcis-21118	18	13	.	.	PUNCT
fcis-21118	19	1	if	if	SCONJ
fcis-21118	19	2	not	not	PART
fcis-21118	19	3	discovered	discover	VERB
fcis-21118	19	4	and	and	CCONJ
fcis-21118	19	5	maintained	maintain	VERB
fcis-21118	19	6	in	in	ADP
fcis-21118	19	7	time	time	NOUN
fcis-21118	19	8	,	,	PUNCT
fcis-21118	19	9	the	the	DET
fcis-21118	19	10	cracks	crack	NOUN
fcis-21118	19	11	will	will	AUX
fcis-21118	19	12	further	far	ADV
fcis-21118	19	13	spread	spread	VERB
fcis-21118	19	14	and	and	CCONJ
fcis-21118	19	15	expand	expand	VERB
fcis-21118	19	16	,	,	PUNCT
fcis-21118	19	17	destroying	destroy	VERB
fcis-21118	19	18	the	the	DET
fcis-21118	19	19	tunnel	tunnel	NOUN
fcis-21118	19	20	structure	structure	NOUN
fcis-21118	19	21	.	.	PUNCT
fcis-21118	20	1	it	it	PRON
fcis-21118	20	2	may	may	AUX
fcis-21118	20	3	cause	cause	VERB
fcis-21118	20	4	heavy	heavy	ADJ
fcis-21118	20	5	casualties	casualty	NOUN
fcis-21118	20	6	and	and	CCONJ
fcis-21118	20	7	economic	economic	ADJ
fcis-21118	20	8	losses	loss	NOUN
fcis-21118	20	9	,	,	PUNCT
fcis-21118	20	10	so	so	CCONJ
fcis-21118	20	11	the	the	DET
fcis-21118	20	12	detection	detection	NOUN
fcis-21118	20	13	of	of	ADP
fcis-21118	20	14	tunnel	tunnel	NOUN
fcis-21118	20	15	crack	crack	NOUN
fcis-21118	20	16	diseases	disease	NOUN
fcis-21118	20	17	is	be	AUX
fcis-21118	20	18	the	the	DET
fcis-21118	20	19	top	top	ADJ
fcis-21118	20	20	priority	priority	NOUN
fcis-21118	20	21	of	of	ADP
fcis-21118	20	22	tunnel	tunnel	NOUN
fcis-21118	20	23	inspection	inspection	NOUN
fcis-21118	20	24	.	.	PUNCT
fcis-21118	21	1	at	at	ADP
fcis-21118	21	2	present	present	ADJ
fcis-21118	21	3	,	,	PUNCT
fcis-21118	21	4	in	in	ADP
fcis-21118	21	5	the	the	DET
fcis-21118	21	6	actual	actual	ADJ
fcis-21118	21	7	tunnel	tunnel	NOUN
fcis-21118	21	8	disease	disease	NOUN
fcis-21118	21	9	detection	detection	NOUN
fcis-21118	21	10	process	process	NOUN
fcis-21118	21	11	,	,	PUNCT
fcis-21118	21	12	most	most	ADJ
fcis-21118	21	13	of	of	ADP
fcis-21118	21	14	them	they	PRON
fcis-21118	21	15	still	still	ADV
fcis-21118	21	16	use	use	VERB
fcis-21118	21	17	traditional	traditional	ADJ
fcis-21118	21	18	manual	manual	ADJ
fcis-21118	21	19	detection	detection	NOUN
fcis-21118	21	20	methods	method	NOUN
fcis-21118	21	21	.	.	PUNCT
fcis-21118	22	1	however	however	ADV
fcis-21118	22	2	,	,	PUNCT
fcis-21118	22	3	traditional	traditional	ADJ
fcis-21118	22	4	manual	manual	ADJ
fcis-21118	22	5	inspection	inspection	NOUN
fcis-21118	22	6	is	be	AUX
fcis-21118	22	7	time	time	NOUN
fcis-21118	22	8	-	-	PUNCT
fcis-21118	22	9	consuming	consume	VERB
fcis-21118	22	10	and	and	CCONJ
fcis-21118	22	11	inefficient	inefficient	ADJ
fcis-21118	22	12	,	,	PUNCT
fcis-21118	22	13	and	and	CCONJ
fcis-21118	22	14	the	the	DET
fcis-21118	22	15	inspection	inspection	NOUN
fcis-21118	22	16	effect	effect	NOUN
fcis-21118	22	17	depends	depend	VERB
fcis-21118	22	18	on	on	ADP
fcis-21118	22	19	the	the	DET
fcis-21118	22	20	work	work	NOUN
fcis-21118	22	21	experience	experience	NOUN
fcis-21118	22	22	and	and	CCONJ
fcis-21118	22	23	familiarity	familiarity	NOUN
fcis-21118	22	24	of	of	ADP
fcis-21118	22	25	the	the	DET
fcis-21118	22	26	staff	staff	NOUN
fcis-21118	22	27	[	[	X
fcis-21118	22	28	4	4	NUM
fcis-21118	22	29	]	]	PUNCT
fcis-21118	22	30	.	.	PUNCT
fcis-21118	23	1	in	in	ADP
fcis-21118	23	2	addition	addition	NOUN
fcis-21118	23	3	,	,	PUNCT
fcis-21118	23	4	manual	manual	ADJ
fcis-21118	23	5	inspection	inspection	NOUN
fcis-21118	23	6	requires	require	VERB
fcis-21118	23	7	a	a	DET
fcis-21118	23	8	lot	lot	NOUN
fcis-21118	23	9	of	of	ADP
fcis-21118	23	10	manpower	manpower	NOUN
fcis-21118	23	11	and	and	CCONJ
fcis-21118	23	12	time	time	NOUN
fcis-21118	23	13	,	,	PUNCT
fcis-21118	23	14	and	and	CCONJ
fcis-21118	23	15	the	the	DET
fcis-21118	23	16	time	time	NOUN
fcis-21118	23	17	for	for	ADP
fcis-21118	23	18	subway	subway	NOUN
fcis-21118	23	19	skylight	skylight	NOUN
fcis-21118	23	20	inspection	inspection	NOUN
fcis-21118	23	21	is	be	AUX
fcis-21118	23	22	short	short	ADJ
fcis-21118	23	23	.	.	PUNCT
fcis-21118	24	1	it	it	PRON
fcis-21118	24	2	is	be	AUX
fcis-21118	24	3	difficult	difficult	ADJ
fcis-21118	24	4	for	for	SCONJ
fcis-21118	24	5	traditional	traditional	ADJ
fcis-21118	24	6	methods	method	NOUN
fcis-21118	24	7	to	to	PART
fcis-21118	24	8	meet	meet	VERB
fcis-21118	24	9	the	the	DET
fcis-21118	24	10	current	current	ADJ
fcis-21118	24	11	requirements	requirement	NOUN
fcis-21118	24	12	for	for	ADP
fcis-21118	24	13	tunnel	tunnel	NOUN
fcis-21118	24	14	crack	crack	NOUN
fcis-21118	24	15	detection	detection	NOUN
fcis-21118	24	16	.	.	PUNCT
fcis-21118	25	1	in	in	ADP
fcis-21118	25	2	recent	recent	ADJ
fcis-21118	25	3	years	year	NOUN
fcis-21118	25	4	,	,	PUNCT
fcis-21118	25	5	with	with	ADP
fcis-21118	25	6	the	the	DET
fcis-21118	25	7	rapid	rapid	ADJ
fcis-21118	25	8	development	development	NOUN
fcis-21118	25	9	of	of	ADP
fcis-21118	25	10	big	big	ADJ
fcis-21118	25	11	data	datum	NOUN
fcis-21118	25	12	and	and	CCONJ
fcis-21118	25	13	artificial	artificial	ADJ
fcis-21118	25	14	intelligence	intelligence	NOUN
fcis-21118	25	15	,	,	PUNCT
fcis-21118	25	16	deep	deep	ADJ
fcis-21118	25	17	neural	neural	ADJ
fcis-21118	25	18	networks	network	NOUN
fcis-21118	25	19	,	,	PUNCT
fcis-21118	25	20	as	as	ADP
fcis-21118	25	21	a	a	DET
fcis-21118	25	22	discriminative	discriminative	NOUN
fcis-21118	25	23	structure	structure	NOUN
fcis-21118	25	24	algorithm	algorithm	NOUN
fcis-21118	25	25	,	,	PUNCT
fcis-21118	25	26	have	have	VERB
fcis-21118	25	27	excellent	excellent	ADJ
fcis-21118	25	28	performance	performance	NOUN
fcis-21118	25	29	in	in	ADP
fcis-21118	25	30	image	image	NOUN
fcis-21118	25	31	classification	classification	NOUN
fcis-21118	25	32	and	and	CCONJ
fcis-21118	25	33	target	target	NOUN
fcis-21118	25	34	detection	detection	NOUN
fcis-21118	25	35	,	,	PUNCT
fcis-21118	25	36	and	and	CCONJ
fcis-21118	25	37	are	be	AUX
fcis-21118	25	38	suitable	suitable	ADJ
fcis-21118	25	39	for	for	ADP
fcis-21118	25	40	scenarios	scenario	NOUN
fcis-21118	25	41	with	with	ADP
fcis-21118	25	42	large	large	ADJ
fcis-21118	25	43	amounts	amount	NOUN
fcis-21118	25	44	of	of	ADP
fcis-21118	25	45	data	datum	NOUN
fcis-21118	25	46	such	such	ADJ
fcis-21118	25	47	as	as	ADP
fcis-21118	25	48	tunnel	tunnel	NOUN
fcis-21118	25	49	crack	crack	NOUN
fcis-21118	25	50	detection	detection	NOUN
fcis-21118	25	51	.	.	PUNCT
fcis-21118	26	1	compared	compare	VERB
fcis-21118	26	2	with	with	ADP
fcis-21118	26	3	traditional	traditional	ADJ
fcis-21118	26	4	digital	digital	ADJ
fcis-21118	26	5	image	image	NOUN
fcis-21118	26	6	processing	processing	NOUN
fcis-21118	26	7	technology	technology	NOUN
fcis-21118	26	8	,	,	PUNCT
fcis-21118	26	9	deep	deep	ADJ
fcis-21118	26	10	learning	learning	NOUN
fcis-21118	26	11	does	do	AUX
fcis-21118	26	12	not	not	PART
fcis-21118	26	13	need	need	VERB
fcis-21118	26	14	to	to	PART
fcis-21118	26	15	manually	manually	ADV
fcis-21118	26	16	set	set	VERB
fcis-21118	26	17	the	the	DET
fcis-21118	26	18	features	feature	NOUN
fcis-21118	26	19	to	to	PART
fcis-21118	26	20	be	be	AUX
fcis-21118	26	21	extracted	extract	VERB
fcis-21118	26	22	in	in	ADP
fcis-21118	26	23	advance	advance	NOUN
fcis-21118	26	24	.	.	PUNCT
fcis-21118	27	1	the	the	DET
fcis-21118	27	2	network	network	NOUN
fcis-21118	27	3	model	model	NOUN
fcis-21118	27	4	can	can	AUX
fcis-21118	27	5	adaptively	adaptively	ADV
fcis-21118	27	6	learn	learn	VERB
fcis-21118	27	7	and	and	CCONJ
fcis-21118	27	8	extract	extract	VERB
fcis-21118	27	9	image	image	NOUN
fcis-21118	27	10	features	feature	NOUN
fcis-21118	27	11	,	,	PUNCT
fcis-21118	27	12	and	and	CCONJ
fcis-21118	27	13	the	the	DET
fcis-21118	27	14	classification	classification	NOUN
fcis-21118	27	15	effect	effect	NOUN
fcis-21118	27	16	is	be	AUX
fcis-21118	27	17	stronger	strong	ADJ
fcis-21118	27	18	.	.	PUNCT
fcis-21118	28	1	li	li	PROPN
fcis-21118	28	2	et	et	PROPN
fcis-21118	28	3	al	al	PROPN
fcis-21118	28	4	.	.	PUNCT
fcis-21118	29	1	[	[	X
fcis-21118	29	2	5]used	5]use	VERB
fcis-21118	29	3	the	the	DET
fcis-21118	29	4	resnet18	resnet18	NOUN
fcis-21118	29	5	network	network	NOUN
fcis-21118	29	6	to	to	PART
fcis-21118	29	7	detect	detect	VERB
fcis-21118	29	8	cracks	crack	NOUN
fcis-21118	29	9	,	,	PUNCT
fcis-21118	29	10	with	with	ADP
fcis-21118	29	11	an	an	DET
fcis-21118	29	12	accuracy	accuracy	NOUN
fcis-21118	29	13	of	of	ADP
fcis-21118	29	14	70	70	NUM
fcis-21118	29	15	%	%	NOUN
fcis-21118	29	16	.	.	PUNCT
fcis-21118	30	1	huang	huang	PROPN
fcis-21118	30	2	et	et	PROPN
fcis-21118	30	3	al	al	PROPN
fcis-21118	30	4	.	.	PUNCT
fcis-21118	31	1	[	[	X
fcis-21118	31	2	6	6	NUM
fcis-21118	31	3	]	]	PUNCT
fcis-21118	31	4	proposed	propose	VERB
fcis-21118	31	5	an	an	DET
fcis-21118	31	6	image	image	NOUN
fcis-21118	31	7	recognition	recognition	NOUN
fcis-21118	31	8	algorithm	algorithm	NOUN
fcis-21118	31	9	based	base	VERB
fcis-21118	31	10	on	on	ADP
fcis-21118	31	11	fully	fully	ADV
fcis-21118	31	12	convolutional	convolutional	ADJ
fcis-21118	31	13	network	network	NOUN
fcis-21118	31	14	(	(	PUNCT
fcis-21118	31	15	fcn	fcn	NOUN
fcis-21118	31	16	)	)	PUNCT
fcis-21118	31	17	feature	feature	VERB
fcis-21118	31	18	hierarchical	hierarchical	ADJ
fcis-21118	31	19	extraction	extraction	NOUN
fcis-21118	31	20	for	for	ADP
fcis-21118	31	21	semantic	semantic	ADJ
fcis-21118	31	22	segmentation	segmentation	NOUN
fcis-21118	31	23	of	of	ADP
fcis-21118	31	24	cracks	crack	NOUN
fcis-21118	31	25	and	and	CCONJ
fcis-21118	31	26	leakage	leakage	NOUN
fcis-21118	31	27	defects	defect	NOUN
fcis-21118	31	28	in	in	ADP
fcis-21118	31	29	subway	subway	NOUN
fcis-21118	31	30	shield	shield	NOUN
fcis-21118	31	31	tunnels	tunnel	NOUN
fcis-21118	31	32	.	.	PUNCT
fcis-21118	32	1	kim	kim	PROPN
fcis-21118	32	2	and	and	CCONJ
fcis-21118	32	3	cho	cho	PROPN
fcis-21118	33	1	[	[	X
fcis-21118	33	2	7	7	X
fcis-21118	33	3	]	]	PUNCT
fcis-21118	33	4	proposed	propose	VERB
fcis-21118	33	5	a	a	DET
fcis-21118	33	6	method	method	NOUN
fcis-21118	33	7	to	to	PART
fcis-21118	33	8	detect	detect	VERB
fcis-21118	33	9	cracks	crack	NOUN
fcis-21118	33	10	using	use	VERB
fcis-21118	33	11	mask	mask	NOUN
fcis-21118	33	12	r	r	PROPN
fcis-21118	33	13	-	-	PUNCT
fcis-21118	33	14	cnn	cnn	PROPN
fcis-21118	33	15	,	,	PUNCT
fcis-21118	33	16	relying	rely	VERB
fcis-21118	33	17	on	on	ADP
fcis-21118	33	18	morphological	morphological	ADJ
fcis-21118	33	19	operations	operation	NOUN
fcis-21118	33	20	to	to	PART
fcis-21118	33	21	quantify	quantify	VERB
fcis-21118	33	22	cracks	crack	NOUN
fcis-21118	33	23	.	.	PUNCT
fcis-21118	34	1	xu	xu	PROPN
fcis-21118	34	2	et	et	PROPN
fcis-21118	35	1	al	al	PROPN
fcis-21118	35	2	.	.	PUNCT
fcis-21118	36	1	[	[	X
fcis-21118	36	2	8	8	NUM
fcis-21118	36	3	]	]	PUNCT
fcis-21118	36	4	used	use	VERB
fcis-21118	36	5	faster	fast	ADJ
fcis-21118	36	6	r	r	NOUN
fcis-21118	36	7	-	-	PUNCT
fcis-21118	36	8	cnn	cnn	NOUN
fcis-21118	36	9	to	to	PART
fcis-21118	36	10	identify	identify	VERB
fcis-21118	36	11	and	and	CCONJ
fcis-21118	36	12	locate	locate	VERB
fcis-21118	36	13	various	various	ADJ
fcis-21118	36	14	types	type	NOUN
fcis-21118	36	15	of	of	ADP
fcis-21118	36	16	earthquake	earthquake	NOUN
fcis-21118	36	17	damage	damage	NOUN
fcis-21118	36	18	such	such	ADJ
fcis-21118	36	19	as	as	ADP
fcis-21118	36	20	concrete	concrete	ADJ
fcis-21118	36	21	cracks	crack	NOUN
fcis-21118	36	22	.	.	PUNCT
fcis-21118	37	1	xue	xue	PROPN
fcis-21118	37	2	yadong	yadong	PROPN
fcis-21118	38	1	[	[	X
fcis-21118	38	2	9	9	NUM
fcis-21118	38	3	]	]	PUNCT
fcis-21118	38	4	proposed	propose	VERB
fcis-21118	38	5	a	a	DET
fcis-21118	38	6	deep	deep	ADJ
fcis-21118	38	7	learning	learning	NOUN
fcis-21118	38	8	method	method	NOUN
fcis-21118	38	9	based	base	VERB
fcis-21118	38	10	on	on	ADP
fcis-21118	38	11	convolutional	convolutional	ADJ
fcis-21118	38	12	neural	neural	ADJ
fcis-21118	38	13	network	network	NOUN
fcis-21118	38	14	to	to	PART
fcis-21118	38	15	learn	learn	VERB
fcis-21118	38	16	features	feature	NOUN
fcis-21118	38	17	of	of	ADP
fcis-21118	38	18	the	the	DET
fcis-21118	38	19	target	target	NOUN
fcis-21118	38	20	,	,	PUNCT
fcis-21118	38	21	improved	improve	VERB
fcis-21118	38	22	the	the	DET
fcis-21118	38	23	google	google	PROPN
fcis-21118	38	24	net	net	ADJ
fcis-21118	38	25	model	model	NOUN
fcis-21118	38	26	,	,	PUNCT
fcis-21118	38	27	optimized	optimize	VERB
fcis-21118	38	28	the	the	DET
fcis-21118	38	29	convolution	convolution	NOUN
fcis-21118	38	30	kernel	kernel	NOUN
fcis-21118	38	31	,	,	PUNCT
fcis-21118	38	32	and	and	CCONJ
fcis-21118	38	33	improved	improve	VERB
fcis-21118	38	34	the	the	DET
fcis-21118	38	35	inception	inception	NOUN
fcis-21118	38	36	module	module	NOUN
fcis-21118	38	37	in	in	ADP
fcis-21118	38	38	the	the	DET
fcis-21118	38	39	model	model	NOUN
fcis-21118	38	40	to	to	PART
fcis-21118	38	41	achieve	achieve	VERB
fcis-21118	38	42	automatic	automatic	ADJ
fcis-21118	38	43	classification	classification	NOUN
fcis-21118	38	44	and	and	CCONJ
fcis-21118	38	45	identification	identification	NOUN
fcis-21118	38	46	of	of	ADP
fcis-21118	38	47	tunnel	tunnel	NOUN
fcis-21118	38	48	lining	line	VERB
fcis-21118	38	49	image	image	NOUN
fcis-21118	38	50	diseases	disease	NOUN
fcis-21118	38	51	.	.	PUNCT
fcis-21118	39	1	gao	gao	PROPN
fcis-21118	39	2	news	news	PROPN
fcis-21118	39	3	[	[	X
fcis-21118	39	4	10	10	NUM
fcis-21118	39	5	]	]	PUNCT
fcis-21118	39	6	proposed	propose	VERB
fcis-21118	39	7	a	a	DET
fcis-21118	39	8	crack	crack	NOUN
fcis-21118	39	9	detection	detection	NOUN
fcis-21118	39	10	network	network	NOUN
fcis-21118	39	11	based	base	VERB
fcis-21118	39	12	on	on	ADP
fcis-21118	39	13	densely	densely	ADV
fcis-21118	39	14	connected	connected	ADJ
fcis-21118	39	15	convolutional	convolutional	ADJ
fcis-21118	39	16	network	network	NOUN
fcis-21118	39	17	(	(	PUNCT
fcis-21118	39	18	dense	dense	ADJ
fcis-21118	39	19	net	net	NOUN
fcis-21118	39	20	)	)	PUNCT
fcis-21118	39	21	,	,	PUNCT
fcis-21118	39	22	which	which	PRON
fcis-21118	39	23	filters	filter	VERB
fcis-21118	39	24	non	non	ADJ
fcis-21118	39	25	-	-	ADJ
fcis-21118	39	26	crack	crack	ADJ
fcis-21118	39	27	areas	area	NOUN
fcis-21118	39	28	of	of	ADP
fcis-21118	39	29	the	the	DET
fcis-21118	39	30	original	original	ADJ
fcis-21118	39	31	image	image	NOUN
fcis-21118	39	32	to	to	PART
fcis-21118	39	33	reduce	reduce	VERB
fcis-21118	39	34	the	the	DET
fcis-21118	39	35	interference	interference	NOUN
fcis-21118	39	36	of	of	ADP
fcis-21118	39	37	background	background	NOUN
fcis-21118	39	38	information	information	NOUN
fcis-21118	39	39	.	.	PUNCT
fcis-21118	40	1	at	at	ADP
fcis-21118	40	2	the	the	DET
fcis-21118	40	3	same	same	ADJ
fcis-21118	40	4	time	time	NOUN
fcis-21118	40	5	,	,	PUNCT
fcis-21118	40	6	it	it	PRON
fcis-21118	40	7	uses	use	VERB
fcis-21118	40	8	a	a	DET
fcis-21118	40	9	multi	multi	ADJ
fcis-21118	40	10	-	-	ADJ
fcis-21118	40	11	dimensional	dimensional	ADJ
fcis-21118	40	12	classifier	classifier	NOUN
fcis-21118	40	13	based	base	VERB
fcis-21118	40	14	on	on	ADP
fcis-21118	40	15	the	the	DET
fcis-21118	40	16	segmentation	segmentation	NOUN
fcis-21118	40	17	algorithm	algorithm	NOUN
fcis-21118	40	18	.	.	PUNCT
fcis-21118	41	1	eliminate	eliminate	VERB
fcis-21118	41	2	incorrectly	incorrectly	ADV
fcis-21118	41	3	identified	identify	VERB
fcis-21118	41	4	crack	crack	NOUN
fcis-21118	41	5	areas	area	NOUN
fcis-21118	41	6	.	.	PUNCT
fcis-21118	42	1	fuchen	fuchen	PROPN
fcis-21118	42	2	chen	chen	PROPN
fcis-21118	42	3	et	et	PROPN
fcis-21118	42	4	al	al	PROPN
fcis-21118	42	5	.	.	PUNCT
fcis-21118	43	1	[	[	X
fcis-21118	43	2	11	11	NUM
fcis-21118	43	3	]	]	PUNCT
fcis-21118	43	4	proposed	propose	VERB
fcis-21118	43	5	a	a	DET
fcis-21118	43	6	deep	deep	ADJ
fcis-21118	43	7	learning	learning	NOUN
fcis-21118	43	8	framework	framework	NOUN
fcis-21118	43	9	based	base	VERB
fcis-21118	43	10	on	on	ADP
fcis-21118	43	11	convolutional	convolutional	ADJ
fcis-21118	43	12	neural	neural	ADJ
fcis-21118	43	13	network	network	NOUN
fcis-21118	43	14	(	(	PUNCT
fcis-21118	43	15	cnn	cnn	PROPN
fcis-21118	43	16	)	)	PUNCT
fcis-21118	43	17	and	and	CCONJ
fcis-21118	43	18	naive	naive	ADJ
fcis-21118	43	19	bayes	bayes	NOUN
fcis-21118	43	20	data	datum	NOUN
fcis-21118	43	21	fusion	fusion	NOUN
fcis-21118	43	22	scheme	scheme	NOUN
fcis-21118	43	23	(	(	PUNCT
fcis-21118	43	24	nb	nb	INTJ
fcis-21118	43	25	-	-	PUNCT
fcis-21118	43	26	cnn	cnn	PROPN
fcis-21118	43	27	)	)	PUNCT
fcis-21118	43	28	to	to	PART
fcis-21118	43	29	analyze	analyze	VERB
fcis-21118	43	30	a	a	DET
fcis-21118	43	31	single	single	ADJ
fcis-21118	43	32	video	video	NOUN
fcis-21118	43	33	frame	frame	NOUN
fcis-21118	43	34	rate	rate	NOUN
fcis-21118	43	35	for	for	ADP
fcis-21118	43	36	crack	crack	NOUN
fcis-21118	43	37	detection	detection	NOUN
fcis-21118	43	38	,	,	PUNCT
fcis-21118	43	39	while	while	SCONJ
fcis-21118	43	40	a	a	DET
fcis-21118	43	41	new	new	ADJ
fcis-21118	43	42	data	data	NOUN
fcis-21118	43	43	fusion	fusion	NOUN
fcis-21118	43	44	scheme	scheme	NOUN
fcis-21118	43	45	is	be	AUX
fcis-21118	43	46	proposed	propose	VERB
fcis-21118	43	47	to	to	PART
fcis-21118	43	48	aggregate	aggregate	VERB
fcis-21118	43	49	the	the	DET
fcis-21118	43	50	information	information	NOUN
fcis-21118	43	51	extracted	extract	VERB
fcis-21118	43	52	from	from	ADP
fcis-21118	43	53	each	each	DET
fcis-21118	43	54	video	video	NOUN
fcis-21118	43	55	to	to	PART
fcis-21118	43	56	enhance	enhance	VERB
fcis-21118	43	57	the	the	DET
fcis-21118	43	58	overall	overall	ADJ
fcis-21118	43	59	performance	performance	NOUN
fcis-21118	43	60	and	and	CCONJ
fcis-21118	43	61	robustness	robustness	NOUN
fcis-21118	43	62	of	of	ADP
fcis-21118	43	63	the	the	DET
fcis-21118	43	64	system	system	NOUN
fcis-21118	43	65	.	.	PUNCT
fcis-21118	44	1	ren	ren	PROPN
fcis-21118	44	2	song	song	PROPN
fcis-21118	44	3	et	et	PROPN
fcis-21118	44	4	al	al	PROPN
fcis-21118	44	5	.	.	PUNCT
fcis-21118	45	1	[	[	X
fcis-21118	45	2	12	12	NUM
fcis-21118	45	3	]	]	PUNCT
fcis-21118	45	4	used	use	VERB
fcis-21118	45	5	the	the	DET
fcis-21118	45	6	inception	inception	ADJ
fcis-21118	45	7	v2	v2	NOUN
fcis-21118	45	8	network	network	NOUN
fcis-21118	45	9	as	as	ADP
fcis-21118	45	10	a	a	DET
fcis-21118	45	11	feature	feature	NOUN
fcis-21118	45	12	extraction	extraction	NOUN
fcis-21118	45	13	network	network	NOUN
fcis-21118	45	14	in	in	ADP
fcis-21118	45	15	the	the	DET
fcis-21118	45	16	ss	ss	PROPN
fcis-21118	45	17	network	network	NOUN
fcis-21118	45	18	to	to	PART
fcis-21118	45	19	detect	detect	VERB
fcis-21118	45	20	tunnel	tunnel	NOUN
fcis-21118	45	21	lining	lining	NOUN
fcis-21118	45	22	cracks	crack	NOUN
fcis-21118	45	23	and	and	CCONJ
fcis-21118	45	24	water	water	NOUN
fcis-21118	45	25	leakage	leakage	NOUN
fcis-21118	45	26	.	.	PUNCT
fcis-21118	46	1	hui	hui	PROPN
fcis-21118	46	2	yao	yao	PROPN
fcis-21118	47	1	[	[	X
fcis-21118	47	2	13	13	NUM
fcis-21118	47	3	]	]	PUNCT
fcis-21118	47	4	et	et	PROPN
fcis-21118	47	5	al	al	PROPN
fcis-21118	47	6	.	.	PROPN
fcis-21118	47	7	proposed	propose	VERB
fcis-21118	47	8	a	a	DET
fcis-21118	47	9	new	new	ADJ
fcis-21118	47	10	method	method	NOUN
fcis-21118	47	11	for	for	ADP
fcis-21118	47	12	pavement	pavement	NOUN
fcis-21118	47	13	crack	crack	NOUN
fcis-21118	47	14	detection	detection	NOUN
fcis-21118	47	15	based	base	VERB
fcis-21118	47	16	on	on	ADP
fcis-21118	47	17	the	the	DET
fcis-21118	47	18	yolov5	yolov5	NOUN
fcis-21118	47	19	model	model	NOUN
fcis-21118	47	20	and	and	CCONJ
fcis-21118	47	21	attention	attention	NOUN
fcis-21118	47	22	mechanism	mechanism	NOUN
fcis-21118	47	23	.	.	PUNCT
fcis-21118	48	1	based	base	VERB
fcis-21118	48	2	on	on	ADP
fcis-21118	48	3	yolov5	yolov5	PROPN
fcis-21118	48	4	,	,	PUNCT
fcis-21118	48	5	a	a	DET
fcis-21118	48	6	subway	subway	NOUN
fcis-21118	48	7	crack	crack	VERB
fcis-21118	48	8	detection	detection	NOUN
fcis-21118	48	9	model	model	NOUN
fcis-21118	48	10	sd	sd	ADP
fcis-21118	48	11	123	123	NUM
fcis-21118	48	12	yolo	yolo	ADJ
fcis-21118	48	13	is	be	AUX
fcis-21118	48	14	proposed	propose	VERB
fcis-21118	48	15	.	.	PUNCT
fcis-21118	49	1	in	in	ADP
fcis-21118	49	2	image	image	NOUN
fcis-21118	49	3	preprocessing	preprocessing	NOUN
fcis-21118	49	4	,	,	PUNCT
fcis-21118	49	5	the	the	DET
fcis-21118	49	6	lp	lp	ADJ
fcis-21118	49	7	-	-	PUNCT
fcis-21118	49	8	ace	ace	NOUN
fcis-21118	49	9	algorithm	algorithm	NOUN
fcis-21118	49	10	is	be	AUX
fcis-21118	49	11	used	use	VERB
fcis-21118	49	12	to	to	PART
fcis-21118	49	13	adjust	adjust	VERB
fcis-21118	49	14	the	the	DET
fcis-21118	49	15	contrast	contrast	NOUN
fcis-21118	49	16	of	of	ADP
fcis-21118	49	17	the	the	DET
fcis-21118	49	18	image	image	NOUN
fcis-21118	49	19	to	to	PART
fcis-21118	49	20	improve	improve	VERB
fcis-21118	49	21	image	image	NOUN
fcis-21118	49	22	clarity	clarity	NOUN
fcis-21118	49	23	.	.	PUNCT
fcis-21118	50	1	the	the	DET
fcis-21118	50	2	ghost	ghost	NOUN
fcis-21118	50	3	module	module	NOUN
fcis-21118	50	4	is	be	AUX
fcis-21118	50	5	used	use	VERB
fcis-21118	50	6	to	to	PART
fcis-21118	50	7	replace	replace	VERB
fcis-21118	50	8	the	the	DET
fcis-21118	50	9	traditional	traditional	ADJ
fcis-21118	50	10	convolution	convolution	NOUN
fcis-21118	50	11	module	module	NOUN
fcis-21118	50	12	to	to	PART
fcis-21118	50	13	reduce	reduce	VERB
fcis-21118	50	14	the	the	DET
fcis-21118	50	15	amount	amount	NOUN
fcis-21118	50	16	of	of	ADP
fcis-21118	50	17	calculation	calculation	NOUN
fcis-21118	50	18	and	and	CCONJ
fcis-21118	50	19	speed	speed	VERB
fcis-21118	50	20	up	up	ADP
fcis-21118	50	21	network	network	NOUN
fcis-21118	50	22	model	model	NOUN
fcis-21118	50	23	reasoning	reasoning	NOUN
fcis-21118	50	24	.	.	PUNCT
fcis-21118	51	1	adding	add	VERB
fcis-21118	51	2	the	the	DET
fcis-21118	51	3	cbam	cbam	NOUN
fcis-21118	51	4	module	module	NOUN
fcis-21118	51	5	dilutes	dilute	VERB
fcis-21118	51	6	the	the	DET
fcis-21118	51	7	complex	complex	ADJ
fcis-21118	51	8	background	background	NOUN
fcis-21118	51	9	information	information	NOUN
fcis-21118	51	10	and	and	CCONJ
fcis-21118	51	11	allows	allow	VERB
fcis-21118	51	12	the	the	DET
fcis-21118	51	13	network	network	NOUN
fcis-21118	51	14	to	to	PART
fcis-21118	51	15	focus	focus	VERB
fcis-21118	51	16	on	on	ADP
fcis-21118	51	17	crack	crack	NOUN
fcis-21118	51	18	feature	feature	NOUN
fcis-21118	51	19	extraction	extraction	NOUN
fcis-21118	51	20	.	.	PUNCT
fcis-21118	52	1	a	a	DET
fcis-21118	52	2	bidirectional	bidirectional	ADJ
fcis-21118	52	3	feature	feature	NOUN
fcis-21118	52	4	pyramid	pyramid	NOUN
fcis-21118	52	5	network	network	NOUN
fcis-21118	52	6	is	be	AUX
fcis-21118	52	7	used	use	VERB
fcis-21118	52	8	for	for	ADP
fcis-21118	52	9	multi	multi	ADJ
fcis-21118	52	10	-	-	ADJ
fcis-21118	52	11	scale	scale	ADJ
fcis-21118	52	12	feature	feature	NOUN
fcis-21118	52	13	fusion	fusion	NOUN
fcis-21118	52	14	to	to	PART
fcis-21118	52	15	reduce	reduce	VERB
fcis-21118	52	16	redundant	redundant	ADJ
fcis-21118	52	17	calculations	calculation	NOUN
fcis-21118	52	18	and	and	CCONJ
fcis-21118	52	19	improve	improve	VERB
fcis-21118	52	20	the	the	DET
fcis-21118	52	21	detection	detection	NOUN
fcis-21118	52	22	ability	ability	NOUN
fcis-21118	52	23	of	of	ADP
fcis-21118	52	24	small	small	ADJ
fcis-21118	52	25	targets	target	NOUN
fcis-21118	52	26	.	.	PUNCT
fcis-21118	53	1	the	the	DET
fcis-21118	53	2	effectiveness	effectiveness	NOUN
fcis-21118	53	3	of	of	ADP
fcis-21118	53	4	the	the	DET
fcis-21118	53	5	sd	sd	NOUN
fcis-21118	53	6	-	-	PUNCT
fcis-21118	53	7	yolo	yolo	ADJ
fcis-21118	53	8	model	model	NOUN
fcis-21118	53	9	is	be	AUX
fcis-21118	53	10	proved	prove	VERB
fcis-21118	53	11	through	through	ADP
fcis-21118	53	12	experiments	experiment	NOUN
fcis-21118	53	13	.	.	PUNCT
fcis-21118	54	1	2	2	X
fcis-21118	54	2	.	.	X
fcis-21118	54	3	subway	subway	NOUN
fcis-21118	54	4	crack	crack	NOUN
fcis-21118	54	5	detection	detection	NOUN
fcis-21118	54	6	algorithm	algorithm	NOUN
fcis-21118	54	7	2.1	2.1	NUM
fcis-21118	54	8	.	.	PUNCT
fcis-21118	55	1	lp	lp	ADJ
fcis-21118	55	2	-	-	PUNCT
fcis-21118	55	3	ace	ace	NOUN
fcis-21118	55	4	algorithm	algorithm	NOUN
fcis-21118	55	5	enhances	enhance	VERB
fcis-21118	55	6	images	image	NOUN
fcis-21118	55	7	due	due	ADP
fcis-21118	55	8	to	to	ADP
fcis-21118	55	9	the	the	DET
fcis-21118	55	10	complex	complex	ADJ
fcis-21118	55	11	environment	environment	NOUN
fcis-21118	55	12	in	in	ADP
fcis-21118	55	13	the	the	DET
fcis-21118	55	14	tunnel	tunnel	NOUN
fcis-21118	55	15	and	and	CCONJ
fcis-21118	55	16	the	the	DET
fcis-21118	55	17	uneven	uneven	ADJ
fcis-21118	55	18	illumination	illumination	NOUN
fcis-21118	55	19	of	of	ADP
fcis-21118	55	20	the	the	DET
fcis-21118	55	21	acquisition	acquisition	NOUN
fcis-21118	55	22	system	system	NOUN
fcis-21118	55	23	,	,	PUNCT
fcis-21118	55	24	the	the	DET
fcis-21118	55	25	captured	capture	VERB
fcis-21118	55	26	lining	lining	NOUN
fcis-21118	55	27	images	image	NOUN
fcis-21118	55	28	have	have	VERB
fcis-21118	55	29	shadows	shadow	NOUN
fcis-21118	55	30	and	and	CCONJ
fcis-21118	55	31	low	low	ADJ
fcis-21118	55	32	contrast	contrast	NOUN
fcis-21118	55	33	.	.	PUNCT
fcis-21118	56	1	this	this	DET
fcis-21118	56	2	article	article	NOUN
fcis-21118	56	3	uses	use	VERB
fcis-21118	56	4	an	an	DET
fcis-21118	56	5	improved	improve	VERB
fcis-21118	56	6	automatic	automatic	ADJ
fcis-21118	56	7	color	color	NOUN
fcis-21118	56	8	equalization	equalization	NOUN
fcis-21118	56	9	algorithm	algorithm	NOUN
fcis-21118	56	10	to	to	PART
fcis-21118	56	11	remove	remove	VERB
fcis-21118	56	12	image	image	NOUN
fcis-21118	56	13	shadows	shadow	NOUN
fcis-21118	56	14	.	.	PUNCT
fcis-21118	57	1	the	the	DET
fcis-21118	57	2	automatic	automatic	ADJ
fcis-21118	57	3	color	color	NOUN
fcis-21118	57	4	equalization	equalization	NOUN
fcis-21118	57	5	(	(	PUNCT
fcis-21118	57	6	ace	ace	NOUN
fcis-21118	57	7	)	)	PUNCT
fcis-21118	57	8	algorithm	algorithm	NOUN
fcis-21118	57	9	corrects	correct	VERB
fcis-21118	57	10	the	the	DET
fcis-21118	57	11	final	final	ADJ
fcis-21118	57	12	pixel	pixel	NOUN
fcis-21118	57	13	value	value	NOUN
fcis-21118	57	14	by	by	ADP
fcis-21118	57	15	calculating	calculate	VERB
fcis-21118	57	16	the	the	DET
fcis-21118	57	17	brightness	brightness	NOUN
fcis-21118	57	18	and	and	CCONJ
fcis-21118	57	19	darkness	darkness	NOUN
fcis-21118	57	20	of	of	ADP
fcis-21118	57	21	the	the	DET
fcis-21118	57	22	image	image	NOUN
fcis-21118	57	23	target	target	NOUN
fcis-21118	57	24	pixel	pixel	NOUN
fcis-21118	57	25	and	and	CCONJ
fcis-21118	57	26	surrounding	surround	VERB
fcis-21118	57	27	pixels	pixel	NOUN
fcis-21118	57	28	and	and	CCONJ
fcis-21118	57	29	their	their	PRON
fcis-21118	57	30	relationship	relationship	NOUN
fcis-21118	57	31	.	.	PUNCT
fcis-21118	58	1	,	,	PUNCT
fcis-21118	58	2	realize	realize	VERB
fcis-21118	58	3	the	the	DET
fcis-21118	58	4	contrast	contrast	NOUN
fcis-21118	58	5	adjustment	adjustment	NOUN
fcis-21118	58	6	of	of	ADP
fcis-21118	58	7	the	the	DET
fcis-21118	58	8	image	image	NOUN
fcis-21118	58	9	,	,	PUNCT
fcis-21118	58	10	produce	produce	VERB
fcis-21118	58	11	a	a	DET
fcis-21118	58	12	balance	balance	NOUN
fcis-21118	58	13	of	of	ADP
fcis-21118	58	14	color	color	NOUN
fcis-21118	58	15	constancy	constancy	NOUN
fcis-21118	58	16	and	and	CCONJ
fcis-21118	58	17	brightness	brightness	NOUN
fcis-21118	58	18	constancy	constancy	NOUN
fcis-21118	58	19	similar	similar	ADJ
fcis-21118	58	20	to	to	ADP
fcis-21118	58	21	the	the	DET
fcis-21118	58	22	human	human	ADJ
fcis-21118	58	23	retina	retina	NOUN
fcis-21118	58	24	,	,	PUNCT
fcis-21118	58	25	and	and	CCONJ
fcis-21118	58	26	have	have	VERB
fcis-21118	58	27	a	a	DET
fcis-21118	58	28	good	good	ADJ
fcis-21118	58	29	image	image	NOUN
fcis-21118	58	30	enhancement	enhancement	NOUN
fcis-21118	58	31	effect	effect	NOUN
fcis-21118	58	32	.	.	PUNCT
fcis-21118	59	1	then	then	ADV
fcis-21118	59	2	,	,	PUNCT
fcis-21118	59	3	for	for	ADP
fcis-21118	59	4	an	an	DET
fcis-21118	59	5	image	image	NOUN
fcis-21118	59	6	with	with	ADP
fcis-21118	59	7	n	n	ADP
fcis-21118	59	8	pixels	pixel	NOUN
fcis-21118	59	9	,	,	PUNCT
fcis-21118	59	10	the	the	DET
fcis-21118	59	11	amount	amount	NOUN
fcis-21118	59	12	of	of	ADP
fcis-21118	59	13	calculations	calculation	NOUN
fcis-21118	59	14	will	will	AUX
fcis-21118	59	15	increase	increase	VERB
fcis-21118	59	16	rapidly	rapidly	ADV
fcis-21118	59	17	as	as	SCONJ
fcis-21118	59	18	the	the	DET
fcis-21118	59	19	image	image	NOUN
fcis-21118	59	20	size	size	NOUN
fcis-21118	59	21	increases	increase	NOUN
fcis-21118	59	22	.	.	PUNCT
fcis-21118	60	1	ace	ace	PROPN
fcis-21118	60	2	has	have	VERB
fcis-21118	60	3	high	high	ADJ
fcis-21118	60	4	complexity	complexity	NOUN
fcis-21118	60	5	and	and	CCONJ
fcis-21118	60	6	large	large	ADJ
fcis-21118	60	7	amount	amount	NOUN
fcis-21118	60	8	of	of	ADP
fcis-21118	60	9	calculations	calculation	NOUN
fcis-21118	60	10	,	,	PUNCT
fcis-21118	60	11	so	so	SCONJ
fcis-21118	60	12	the	the	DET
fcis-21118	60	13	method	method	NOUN
fcis-21118	60	14	of	of	ADP
fcis-21118	60	15	automatic	automatic	ADJ
fcis-21118	60	16	color	color	NOUN
fcis-21118	60	17	equalization	equalization	NOUN
fcis-21118	60	18	combined	combine	VERB
fcis-21118	60	19	with	with	ADP
fcis-21118	60	20	laplacian	laplacian	ADJ
fcis-21118	60	21	pyramid	pyramid	NOUN
fcis-21118	60	22	(	(	PUNCT
fcis-21118	60	23	lp	lp	NOUN
fcis-21118	60	24	for	for	ADP
fcis-21118	60	25	short	short	ADJ
fcis-21118	60	26	)	)	PUNCT
fcis-21118	60	27	is	be	AUX
fcis-21118	60	28	used	use	VERB
fcis-21118	60	29	.	.	PUNCT
fcis-21118	61	1	-ace	-ace	X
fcis-21118	61	2	algorithm	algorithm	NOUN
fcis-21118	61	3	)	)	PUNCT
fcis-21118	61	4	.	.	PUNCT
fcis-21118	62	1	the	the	DET
fcis-21118	62	2	computational	computational	ADJ
fcis-21118	62	3	complexity	complexity	NOUN
fcis-21118	62	4	is	be	AUX
fcis-21118	62	5	reduced	reduce	VERB
fcis-21118	62	6	from	from	ADP
fcis-21118	62	7	the	the	DET
fcis-21118	62	8	original	original	ADJ
fcis-21118	62	9	o(n^4	o(n^4	PROPN
fcis-21118	62	10	)	)	PUNCT
fcis-21118	62	11	to	to	PART
fcis-21118	62	12	o(nlog	o(nlog	VERB
fcis-21118	62	13	n	n	CCONJ
fcis-21118	62	14	)	)	PUNCT
fcis-21118	62	15	,	,	PUNCT
fcis-21118	62	16	which	which	PRON
fcis-21118	62	17	significantly	significantly	ADV
fcis-21118	62	18	reduces	reduce	VERB
fcis-21118	62	19	the	the	DET
fcis-21118	62	20	amount	amount	NOUN
fcis-21118	62	21	of	of	ADP
fcis-21118	62	22	image	image	NOUN
fcis-21118	62	23	calculations	calculation	NOUN
fcis-21118	62	24	and	and	CCONJ
fcis-21118	62	25	greatly	greatly	ADV
fcis-21118	62	26	improves	improve	VERB
fcis-21118	62	27	work	work	NOUN
fcis-21118	62	28	efficiency	efficiency	NOUN
fcis-21118	62	29	.	.	PUNCT
fcis-21118	63	1	the	the	DET
fcis-21118	63	2	ace	ace	ADJ
fcis-21118	63	3	algorithm	algorithm	NOUN
fcis-21118	63	4	includes	include	VERB
fcis-21118	63	5	two	two	NUM
fcis-21118	63	6	steps	step	NOUN
fcis-21118	63	7	:	:	PUNCT
fcis-21118	63	8	first	first	ADV
fcis-21118	63	9	,	,	PUNCT
fcis-21118	63	10	adjust	adjust	VERB
fcis-21118	63	11	the	the	DET
fcis-21118	63	12	color	color	NOUN
fcis-21118	63	13	and	and	CCONJ
fcis-21118	63	14	spatial	spatial	ADJ
fcis-21118	63	15	domain	domain	NOUN
fcis-21118	63	16	of	of	ADP
fcis-21118	63	17	the	the	DET
fcis-21118	63	18	image	image	NOUN
fcis-21118	63	19	,	,	PUNCT
fcis-21118	63	20	complete	complete	VERB
fcis-21118	63	21	the	the	DET
fcis-21118	63	22	chromatic	chromatic	ADJ
fcis-21118	63	23	aberration	aberration	NOUN
fcis-21118	63	24	correction	correction	NOUN
fcis-21118	63	25	of	of	ADP
fcis-21118	63	26	the	the	DET
fcis-21118	63	27	image	image	NOUN
fcis-21118	63	28	,	,	PUNCT
fcis-21118	63	29	and	and	CCONJ
fcis-21118	63	30	obtain	obtain	VERB
fcis-21118	63	31	the	the	DET
fcis-21118	63	32	spatial	spatial	ADJ
fcis-21118	63	33	reconstructed	reconstructed	ADJ
fcis-21118	63	34	image	image	NOUN
fcis-21118	63	35	,	,	PUNCT
fcis-21118	63	36	such	such	ADJ
fcis-21118	63	37	as	as	ADP
fcis-21118	63	38	equation	equation	NOUN
fcis-21118	63	39	(	(	PUNCT
fcis-21118	63	40	1	1	NUM
fcis-21118	63	41	)	)	PUNCT
fcis-21118	63	42	;	;	PUNCT
fcis-21118	63	43	second	second	ADV
fcis-21118	63	44	,	,	PUNCT
fcis-21118	63	45	dynamically	dynamically	ADV
fcis-21118	63	46	expand	expand	VERB
fcis-21118	63	47	the	the	DET
fcis-21118	63	48	corrected	correct	VERB
fcis-21118	63	49	image	image	NOUN
fcis-21118	63	50	,	,	PUNCT
fcis-21118	63	51	such	such	ADJ
fcis-21118	63	52	as	as	ADP
fcis-21118	63	53	equation	equation	NOUN
fcis-21118	63	54	(	(	PUNCT
fcis-21118	63	55	2	2	NUM
fcis-21118	63	56	)	)	PUNCT
fcis-21118	63	57	)	)	PUNCT
fcis-21118	63	58	.	.	PUNCT
fcis-21118	64	1	the	the	DET
fcis-21118	64	2	operational	operational	ADJ
fcis-21118	64	3	complexity	complexity	NOUN
fcis-21118	64	4	of	of	ADP
fcis-21118	64	5	the	the	DET
fcis-21118	64	6	ace	ace	NOUN
fcis-21118	64	7	algorithm	algorithm	NOUN
fcis-21118	64	8	is	be	AUX
fcis-21118	64	9	o(n^4	o(n^4	PROPN
fcis-21118	64	10	)	)	PUNCT
fcis-21118	64	11	.	.	PUNCT
fcis-21118	65	1	the	the	DET
fcis-21118	65	2	calculation	calculation	NOUN
fcis-21118	65	3	formula	formula	NOUN
fcis-21118	65	4	of	of	ADP
fcis-21118	65	5	ace	ace	ADJ
fcis-21118	65	6	algorithm	algorithm	NOUN
fcis-21118	65	7	is	be	AUX
fcis-21118	65	8	as	as	SCONJ
fcis-21118	65	9	follows	follow	VERB
fcis-21118	65	10	:	:	PUNCT
fcis-21118	65	11	∑	∑	ADV
fcis-21118	65	12	,	,	PUNCT
fcis-21118	65	13	∈	∈	PROPN
fcis-21118	65	14	,	,	PUNCT
fcis-21118	65	15	(	(	PUNCT
fcis-21118	65	16	1	1	X
fcis-21118	65	17	)	)	PUNCT
fcis-21118	65	18	in	in	ADP
fcis-21118	65	19	the	the	DET
fcis-21118	65	20	formula	formula	NOUN
fcis-21118	65	21	,	,	PUNCT
fcis-21118	65	22	r_c	r_c	PUNCT
fcis-21118	65	23	is	be	AUX
fcis-21118	65	24	the	the	DET
fcis-21118	65	25	difference	difference	NOUN
fcis-21118	65	26	between	between	ADP
fcis-21118	65	27	the	the	DET
fcis-21118	65	28	pixel	pixel	NOUN
fcis-21118	65	29	to	to	PART
fcis-21118	65	30	be	be	AUX
fcis-21118	65	31	adjusted	adjust	VERB
fcis-21118	65	32	and	and	CCONJ
fcis-21118	65	33	the	the	DET
fcis-21118	65	34	surrounding	surround	VERB
fcis-21118	65	35	pixels	pixel	NOUN
fcis-21118	65	36	,	,	PUNCT
fcis-21118	65	37	subset	subset	NOUN
fcis-21118	65	38	is	be	AUX
fcis-21118	65	39	the	the	DET
fcis-21118	65	40	pixel	pixel	PROPN
fcis-21118	65	41	subset	subset	NOUN
fcis-21118	65	42	participating	participate	VERB
fcis-21118	65	43	in	in	ADP
fcis-21118	65	44	the	the	DET
fcis-21118	65	45	operation	operation	NOUN
fcis-21118	65	46	,	,	PUNCT
fcis-21118	65	47	,	,	PUNCT
fcis-21118	65	48	is	be	AUX
fcis-21118	65	49	the	the	DET
fcis-21118	65	50	brightness	brightness	ADJ
fcis-21118	65	51	difference	difference	NOUN
fcis-21118	65	52	between	between	ADP
fcis-21118	65	53	the	the	DET
fcis-21118	65	54	pixel	pixel	NOUN
fcis-21118	65	55	to	to	PART
fcis-21118	65	56	be	be	AUX
fcis-21118	65	57	adjusted	adjust	VERB
fcis-21118	65	58	and	and	CCONJ
fcis-21118	65	59	the	the	DET
fcis-21118	65	60	surrounding	surround	VERB
fcis-21118	65	61	pixels	pixel	NOUN
fcis-21118	65	62	,	,	PUNCT
fcis-21118	65	63	d	d	PRON
fcis-21118	65	64	represents	represent	VERB
fcis-21118	65	65	the	the	DET
fcis-21118	65	66	distance	distance	NOUN
fcis-21118	65	67	measurement	measurement	NOUN
fcis-21118	65	68	function	function	NOUN
fcis-21118	65	69	,	,	PUNCT
fcis-21118	65	70	and	and	CCONJ
fcis-21118	65	71	r	r	NOUN
fcis-21118	65	72	is	be	AUX
fcis-21118	65	73	the	the	DET
fcis-21118	65	74	brightness	brightness	NOUN
fcis-21118	65	75	performance	performance	NOUN
fcis-21118	65	76	function	function	NOUN
fcis-21118	65	77	.	.	PUNCT
fcis-21118	66	1	127.5	127.5	NUM
fcis-21118	66	2	(	(	PUNCT
fcis-21118	66	3	2	2	NUM
fcis-21118	66	4	)	)	PUNCT
fcis-21118	66	5	in	in	ADP
fcis-21118	66	6	the	the	DET
fcis-21118	66	7	formula	formula	NOUN
fcis-21118	66	8	,	,	PUNCT
fcis-21118	66	9	r_c	r_c	PUNCT
fcis-21118	66	10	is	be	AUX
fcis-21118	66	11	the	the	DET
fcis-21118	66	12	difference	difference	NOUN
fcis-21118	66	13	between	between	ADP
fcis-21118	66	14	the	the	DET
fcis-21118	66	15	pixel	pixel	NOUN
fcis-21118	66	16	to	to	PART
fcis-21118	66	17	be	be	AUX
fcis-21118	66	18	adjusted	adjust	VERB
fcis-21118	66	19	and	and	CCONJ
fcis-21118	66	20	the	the	DET
fcis-21118	66	21	surrounding	surround	VERB
fcis-21118	66	22	pixels	pixel	NOUN
fcis-21118	66	23	,	,	PUNCT
fcis-21118	66	24	subset	subset	NOUN
fcis-21118	66	25	is	be	AUX
fcis-21118	66	26	the	the	DET
fcis-21118	66	27	pixel	pixel	PROPN
fcis-21118	66	28	subset	subset	NOUN
fcis-21118	66	29	participating	participate	VERB
fcis-21118	66	30	in	in	ADP
fcis-21118	66	31	the	the	DET
fcis-21118	66	32	operation	operation	NOUN
fcis-21118	66	33	,	,	PUNCT
fcis-21118	66	34	,	,	PUNCT
fcis-21118	66	35	is	be	AUX
fcis-21118	66	36	the	the	DET
fcis-21118	66	37	brightness	brightness	ADJ
fcis-21118	66	38	difference	difference	NOUN
fcis-21118	66	39	between	between	ADP
fcis-21118	66	40	the	the	DET
fcis-21118	66	41	pixel	pixel	NOUN
fcis-21118	66	42	to	to	PART
fcis-21118	66	43	be	be	AUX
fcis-21118	66	44	adjusted	adjust	VERB
fcis-21118	66	45	and	and	CCONJ
fcis-21118	66	46	the	the	DET
fcis-21118	66	47	surrounding	surround	VERB
fcis-21118	66	48	pixels	pixel	NOUN
fcis-21118	66	49	.	.	PUNCT
fcis-21118	67	1	d	d	NOUN
fcis-21118	67	2	represents	represent	VERB
fcis-21118	67	3	the	the	DET
fcis-21118	67	4	distance	distance	NOUN
fcis-21118	67	5	measurement	measurement	NOUN
fcis-21118	67	6	function	function	NOUN
fcis-21118	67	7	,	,	PUNCT
fcis-21118	67	8	and	and	CCONJ
fcis-21118	67	9	r	r	NOUN
fcis-21118	67	10	is	be	AUX
fcis-21118	67	11	the	the	DET
fcis-21118	67	12	brightness	brightness	NOUN
fcis-21118	67	13	performance	performance	NOUN
fcis-21118	67	14	function	function	NOUN
fcis-21118	67	15	.	.	PUNCT
fcis-21118	68	1	,	,	PUNCT
fcis-21118	68	2	0	0	NUM
fcis-21118	68	3	,	,	PUNCT
fcis-21118	68	4	(	(	PUNCT
fcis-21118	68	5	3	3	NUM
fcis-21118	68	6	)	)	PUNCT
fcis-21118	68	7	among	among	ADP
fcis-21118	68	8	them	they	PRON
fcis-21118	68	9	,	,	PUNCT
fcis-21118	68	10	n	n	X
fcis-21118	68	11	is	be	AUX
fcis-21118	68	12	the	the	DET
fcis-21118	68	13	number	number	NOUN
fcis-21118	68	14	of	of	ADP
fcis-21118	68	15	layers	layer	NOUN
fcis-21118	68	16	of	of	ADP
fcis-21118	68	17	the	the	DET
fcis-21118	68	18	laplacian	laplacian	ADJ
fcis-21118	68	19	pyramid	pyramid	NOUN
fcis-21118	68	20	,	,	PUNCT
fcis-21118	68	21	is	be	AUX
fcis-21118	68	22	the	the	DET
fcis-21118	68	23	image	image	NOUN
fcis-21118	68	24	of	of	ADP
fcis-21118	68	25	the	the	DET
fcis-21118	68	26	lth	lth	NOUN
fcis-21118	68	27	layer	layer	NOUN
fcis-21118	68	28	of	of	ADP
fcis-21118	68	29	the	the	DET
fcis-21118	68	30	pyramid	pyramid	NOUN
fcis-21118	68	31	,	,	PUNCT
fcis-21118	68	32	and	and	CCONJ
fcis-21118	68	33	is	be	AUX
fcis-21118	68	34	obtained	obtain	VERB
fcis-21118	68	35	by	by	ADP
fcis-21118	68	36	interpolation	interpolation	NOUN
fcis-21118	68	37	amplification	amplification	NOUN
fcis-21118	68	38	of	of	ADP
fcis-21118	68	39	.	.	PUNCT
fcis-21118	69	1	,	,	PUNCT
fcis-21118	69	2	0	0	NUM
fcis-21118	69	3	(	(	PUNCT
fcis-21118	69	4	4	4	X
fcis-21118	69	5	)	)	PUNCT
fcis-21118	69	6	each	each	DET
fcis-21118	69	7	layer	layer	NOUN
fcis-21118	69	8	of	of	ADP
fcis-21118	69	9	sub	sub	NOUN
fcis-21118	69	10	-	-	NOUN
fcis-21118	69	11	pyramid	pyramid	NOUN
fcis-21118	69	12	uses	use	VERB
fcis-21118	69	13	the	the	DET
fcis-21118	69	14	improved	improved	ADJ
fcis-21118	69	15	ace	ace	NOUN
fcis-21118	69	16	enhancement	enhancement	NOUN
fcis-21118	69	17	algorithm	algorithm	NOUN
fcis-21118	69	18	separately	separately	ADV
fcis-21118	69	19	,	,	PUNCT
fcis-21118	69	20	so	so	SCONJ
fcis-21118	69	21	that	that	SCONJ
fcis-21118	69	22	the	the	DET
fcis-21118	69	23	detailed	detailed	ADJ
fcis-21118	69	24	features	feature	NOUN
fcis-21118	69	25	of	of	ADP
fcis-21118	69	26	the	the	DET
fcis-21118	69	27	reconstructed	reconstructed	ADJ
fcis-21118	69	28	image	image	NOUN
fcis-21118	69	29	using	use	VERB
fcis-21118	69	30	a	a	DET
fcis-21118	69	31	specific	specific	ADJ
fcis-21118	69	32	fusion	fusion	NOUN
fcis-21118	69	33	model	model	NOUN
fcis-21118	69	34	(	(	PUNCT
fcis-21118	69	35	such	such	ADJ
fcis-21118	69	36	as	as	ADP
fcis-21118	69	37	equation	equation	NOUN
fcis-21118	69	38	(	(	PUNCT
fcis-21118	69	39	5	5	NUM
fcis-21118	69	40	)	)	PUNCT
fcis-21118	69	41	)	)	PUNCT
fcis-21118	69	42	can	can	AUX
fcis-21118	69	43	be	be	AUX
fcis-21118	69	44	more	more	ADV
fcis-21118	69	45	obvious	obvious	ADJ
fcis-21118	69	46	for	for	ADP
fcis-21118	69	47	different	different	ADJ
fcis-21118	69	48	details	detail	NOUN
fcis-21118	69	49	on	on	ADP
fcis-21118	69	50	different	different	ADJ
fcis-21118	69	51	decomposition	decomposition	NOUN
fcis-21118	69	52	layers	layer	NOUN
fcis-21118	69	53	.	.	PUNCT
fcis-21118	70	1	∑	∑	PROPN
fcis-21118	70	2	∗∈	∗∈	PROPN
fcis-21118	70	3	(	(	PUNCT
fcis-21118	70	4	5	5	NUM
fcis-21118	70	5	)	)	PUNCT
fcis-21118	70	6	among	among	ADP
fcis-21118	70	7	them	they	PRON
fcis-21118	70	8	,	,	PUNCT
fcis-21118	70	9	is	be	AUX
fcis-21118	70	10	the	the	DET
fcis-21118	70	11	weight	weight	NOUN
fcis-21118	70	12	coefficient	coefficient	NOUN
fcis-21118	70	13	,	,	PUNCT
fcis-21118	70	14	indicating	indicate	VERB
fcis-21118	70	15	the	the	DET
fcis-21118	70	16	proportion	proportion	NOUN
fcis-21118	70	17	of	of	ADP
fcis-21118	70	18	the	the	DET
fcis-21118	70	19	sub	sub	NOUN
fcis-21118	70	20	-	-	NOUN
fcis-21118	70	21	image	image	NOUN
fcis-21118	70	22	of	of	ADP
fcis-21118	70	23	the	the	DET
fcis-21118	70	24	lth	lth	NOUN
fcis-21118	70	25	layer	layer	NOUN
fcis-21118	70	26	,	,	PUNCT
fcis-21118	70	27	and	and	CCONJ
fcis-21118	70	28	is	be	AUX
fcis-21118	70	29	the	the	DET
fcis-21118	70	30	subpyramid	subpyramid	ADJ
fcis-21118	70	31	image	image	NOUN
fcis-21118	70	32	of	of	ADP
fcis-21118	70	33	the	the	DET
fcis-21118	70	34	lth	lth	NOUN
fcis-21118	70	35	layer	layer	NOUN
fcis-21118	70	36	.	.	PUNCT
fcis-21118	71	1	the	the	DET
fcis-21118	71	2	output	output	NOUN
fcis-21118	71	3	image	image	NOUN
fcis-21118	71	4	of	of	ADP
fcis-21118	71	5	the	the	DET
fcis-21118	71	6	lp	lp	ADJ
fcis-21118	71	7	-	-	PUNCT
fcis-21118	71	8	ace	ace	NOUN
fcis-21118	71	9	algorithm	algorithm	NOUN
fcis-21118	71	10	requires	require	VERB
fcis-21118	71	11	n	n	PRON
fcis-21118	71	12	operations	operation	NOUN
fcis-21118	71	13	on	on	ADP
fcis-21118	71	14	the	the	DET
fcis-21118	71	15	sub	sub	NOUN
fcis-21118	71	16	-	-	NOUN
fcis-21118	71	17	layers	layer	NOUN
fcis-21118	71	18	of	of	ADP
fcis-21118	71	19	the	the	DET
fcis-21118	71	20	pyramid	pyramid	NOUN
fcis-21118	71	21	,	,	PUNCT
fcis-21118	71	22	and	and	CCONJ
fcis-21118	71	23	the	the	DET
fcis-21118	71	24	number	number	NOUN
fcis-21118	71	25	of	of	ADP
fcis-21118	71	26	layers	layer	NOUN
fcis-21118	71	27	is	be	AUX
fcis-21118	71	28	log	log	PROPN
fcis-21118	71	29	n.	n.	PROPN
fcis-21118	71	30	comprehensive	comprehensive	ADJ
fcis-21118	71	31	calculation	calculation	NOUN
fcis-21118	71	32	,	,	PUNCT
fcis-21118	71	33	the	the	DET
fcis-21118	71	34	complexity	complexity	NOUN
fcis-21118	71	35	of	of	ADP
fcis-21118	71	36	the	the	DET
fcis-21118	71	37	improved	improved	ADJ
fcis-21118	71	38	algorithm	algorithm	NOUN
fcis-21118	71	39	is	be	AUX
fcis-21118	71	40	o	o	NOUN
fcis-21118	71	41	(	(	PUNCT
fcis-21118	71	42	nlog	nlog	NOUN
fcis-21118	71	43	n	n	CCONJ
fcis-21118	71	44	)	)	PUNCT
fcis-21118	71	45	.	.	PUNCT
fcis-21118	72	1	in	in	ADP
fcis-21118	72	2	the	the	DET
fcis-21118	72	3	same	same	ADJ
fcis-21118	72	4	experimental	experimental	ADJ
fcis-21118	72	5	environment	environment	NOUN
fcis-21118	72	6	,	,	PUNCT
fcis-21118	72	7	selecting	select	VERB
fcis-21118	72	8	the	the	DET
fcis-21118	72	9	same	same	ADJ
fcis-21118	72	10	picture	picture	NOUN
fcis-21118	72	11	with	with	ADP
fcis-21118	72	12	a	a	DET
fcis-21118	72	13	pixel	pixel	ADJ
fcis-21118	72	14	size	size	NOUN
fcis-21118	72	15	of	of	ADP
fcis-21118	72	16	640×640	640×640	NUM
fcis-21118	72	17	,	,	PUNCT
fcis-21118	72	18	the	the	DET
fcis-21118	72	19	running	running	ADJ
fcis-21118	72	20	time	time	NOUN
fcis-21118	72	21	of	of	ADP
fcis-21118	72	22	the	the	DET
fcis-21118	72	23	lp	lp	ADJ
fcis-21118	72	24	-	-	PUNCT
fcis-21118	72	25	ace	ace	NOUN
fcis-21118	72	26	algorithm	algorithm	NOUN
fcis-21118	72	27	is	be	AUX
fcis-21118	72	28	5.34ms	5.34ms	NUM
fcis-21118	72	29	,	,	PUNCT
fcis-21118	72	30	and	and	CCONJ
fcis-21118	72	31	the	the	DET
fcis-21118	72	32	running	running	ADJ
fcis-21118	72	33	time	time	NOUN
fcis-21118	72	34	of	of	ADP
fcis-21118	72	35	the	the	DET
fcis-21118	72	36	ace	ace	NOUN
fcis-21118	72	37	algorithm	algorithm	NOUN
fcis-21118	72	38	is	be	AUX
fcis-21118	72	39	26.12ms	26.12ms	NUM
fcis-21118	72	40	.	.	PUNCT
fcis-21118	72	41	without	without	ADP
fcis-21118	72	42	affecting	affect	VERB
fcis-21118	72	43	the	the	DET
fcis-21118	72	44	details	detail	NOUN
fcis-21118	72	45	of	of	ADP
fcis-21118	72	46	the	the	DET
fcis-21118	72	47	image	image	NOUN
fcis-21118	72	48	,	,	PUNCT
fcis-21118	72	49	the	the	DET
fcis-21118	72	50	running	running	ADJ
fcis-21118	72	51	time	time	NOUN
fcis-21118	72	52	of	of	ADP
fcis-21118	72	53	the	the	DET
fcis-21118	72	54	lp	lp	ADJ
fcis-21118	72	55	-	-	PUNCT
fcis-21118	72	56	ace	ace	NOUN
fcis-21118	72	57	algorithm	algorithm	NOUN
fcis-21118	72	58	is	be	AUX
fcis-21118	72	59	shortened	shorten	VERB
fcis-21118	72	60	by	by	ADP
fcis-21118	72	61	about	about	ADV
fcis-21118	72	62	five	five	NUM
fcis-21118	72	63	times	time	NOUN
fcis-21118	72	64	.	.	PUNCT
fcis-21118	73	1	enhance	enhance	VERB
fcis-21118	73	2	the	the	DET
fcis-21118	73	3	contrast	contrast	NOUN
fcis-21118	73	4	of	of	ADP
fcis-21118	73	5	the	the	DET
fcis-21118	73	6	image	image	NOUN
fcis-21118	73	7	,	,	PUNCT
fcis-21118	73	8	improve	improve	VERB
fcis-21118	73	9	the	the	DET
fcis-21118	73	10	lightness	lightness	NOUN
fcis-21118	73	11	and	and	CCONJ
fcis-21118	73	12	darkness	darkness	NOUN
fcis-21118	73	13	of	of	ADP
fcis-21118	73	14	the	the	DET
fcis-21118	73	15	original	original	ADJ
fcis-21118	73	16	image	image	NOUN
fcis-21118	73	17	,	,	PUNCT
fcis-21118	73	18	while	while	SCONJ
fcis-21118	73	19	maintaining	maintain	VERB
fcis-21118	73	20	the	the	DET
fcis-21118	73	21	authenticity	authenticity	NOUN
fcis-21118	73	22	of	of	ADP
fcis-21118	73	23	the	the	DET
fcis-21118	73	24	image	image	NOUN
fcis-21118	73	25	.	.	PUNCT
fcis-21118	74	1	figure	figure	NOUN
fcis-21118	74	2	1	1	NUM
fcis-21118	74	3	.	.	PUNCT
fcis-21118	75	1	(	(	PUNCT
fcis-21118	75	2	a	a	X
fcis-21118	75	3	)	)	PUNCT
fcis-21118	75	4	original	original	ADJ
fcis-21118	75	5	image	image	NOUN
fcis-21118	75	6	figure	figure	NOUN
fcis-21118	75	7	1	1	NUM
fcis-21118	75	8	.	.	PUNCT
fcis-21118	76	1	(	(	PUNCT
fcis-21118	76	2	b	b	X
fcis-21118	76	3	)	)	PUNCT
fcis-21118	76	4	lp	lp	NOUN
fcis-21118	76	5	-	-	PUNCT
fcis-21118	76	6	ace	ace	NOUN
fcis-21118	76	7	2.2	2.2	NUM
fcis-21118	76	8	.	.	PUNCT
fcis-21118	77	1	yolov5	yolov5	NOUN
fcis-21118	77	2	network	network	NOUN
fcis-21118	77	3	structure	structure	NOUN
fcis-21118	77	4	as	as	ADP
fcis-21118	77	5	a	a	DET
fcis-21118	77	6	single	single	ADJ
fcis-21118	77	7	-	-	PUNCT
fcis-21118	77	8	stage	stage	NOUN
fcis-21118	77	9	detection	detection	NOUN
fcis-21118	77	10	algorithm	algorithm	NOUN
fcis-21118	78	1	,	,	PUNCT
fcis-21118	78	2	yolo	yolo	ADJ
fcis-21118	78	3	combines	combine	VERB
fcis-21118	78	4	region	region	NOUN
fcis-21118	78	5	proposal	proposal	NOUN
fcis-21118	78	6	extraction	extraction	NOUN
fcis-21118	78	7	with	with	ADP
fcis-21118	78	8	target	target	NOUN
fcis-21118	78	9	recognition	recognition	NOUN
fcis-21118	78	10	,	,	PUNCT
fcis-21118	78	11	significantly	significantly	ADV
fcis-21118	78	12	improving	improve	VERB
fcis-21118	78	13	calculation	calculation	NOUN
fcis-21118	78	14	speed	speed	NOUN
fcis-21118	78	15	.	.	PUNCT
fcis-21118	79	1	yolov5	yolov5	NOUN
fcis-21118	79	2	successfully	successfully	ADV
fcis-21118	79	3	achieves	achieve	VERB
fcis-21118	79	4	the	the	DET
fcis-21118	79	5	perfect	perfect	ADJ
fcis-21118	79	6	balance	balance	NOUN
fcis-21118	79	7	of	of	ADP
fcis-21118	79	8	speed	speed	NOUN
fcis-21118	79	9	and	and	CCONJ
fcis-21118	79	10	accuracy	accuracy	NOUN
fcis-21118	79	11	by	by	ADP
fcis-21118	79	12	combining	combine	VERB
fcis-21118	79	13	a	a	DET
fcis-21118	79	14	large	large	ADJ
fcis-21118	79	15	number	number	NOUN
fcis-21118	79	16	of	of	ADP
fcis-21118	79	17	previous	previous	ADJ
fcis-21118	79	18	research	research	NOUN
fcis-21118	79	19	techniques	technique	NOUN
fcis-21118	79	20	.	.	PUNCT
fcis-21118	80	1	the	the	DET
fcis-21118	80	2	yolov5	yolov5	NOUN
fcis-21118	80	3	model	model	NOUN
fcis-21118	80	4	is	be	AUX
fcis-21118	80	5	small	small	ADJ
fcis-21118	80	6	in	in	ADP
fcis-21118	80	7	size	size	NOUN
fcis-21118	80	8	and	and	CCONJ
fcis-21118	80	9	fast	fast	VERB
fcis-21118	80	10	in	in	ADP
fcis-21118	80	11	batch	batch	NOUN
fcis-21118	80	12	processing	processing	NOUN
fcis-21118	80	13	reasoning	reasoning	NOUN
fcis-21118	80	14	,	,	PUNCT
fcis-21118	80	15	which	which	PRON
fcis-21118	80	16	meets	meet	VERB
fcis-21118	80	17	the	the	DET
fcis-21118	80	18	requirements	requirement	NOUN
fcis-21118	80	19	of	of	ADP
fcis-21118	80	20	crack	crack	NOUN
fcis-21118	80	21	detection	detection	NOUN
fcis-21118	80	22	.	.	PUNCT
fcis-21118	81	1	yolov5	yolov5	NOUN
fcis-21118	81	2	has	have	VERB
fcis-21118	81	3	four	four	NUM
fcis-21118	81	4	versions	version	NOUN
fcis-21118	81	5	:	:	PUNCT
fcis-21118	81	6	yolov5s	yolov5s	NOUN
fcis-21118	81	7	,	,	PUNCT
fcis-21118	81	8	yolov5	yolov5	PROPN
fcis-21118	81	9	m	m	PROPN
fcis-21118	81	10	,	,	PUNCT
fcis-21118	81	11	yolov5l	yolov5l	NOUN
fcis-21118	81	12	,	,	PUNCT
fcis-21118	81	13	and	and	CCONJ
fcis-21118	81	14	yolov5x	yolov5x	PROPN
fcis-21118	81	15	.	.	PUNCT
fcis-21118	82	1	this	this	DET
fcis-21118	82	2	article	article	NOUN
fcis-21118	82	3	uses	use	VERB
fcis-21118	82	4	yolov5s	yolov5s	PROPN
fcis-21118	82	5	(	(	PUNCT
fcis-21118	82	6	figure	figure	NOUN
fcis-21118	82	7	2	2	NUM
fcis-21118	82	8	)	)	PUNCT
fcis-21118	82	9	as	as	ADP
fcis-21118	82	10	the	the	DET
fcis-21118	82	11	basic	basic	ADJ
fcis-21118	82	12	model	model	NOUN
fcis-21118	82	13	for	for	ADP
fcis-21118	82	14	research	research	NOUN
fcis-21118	82	15	.	.	PUNCT
fcis-21118	83	1	the	the	DET
fcis-21118	83	2	structure	structure	NOUN
fcis-21118	83	3	of	of	ADP
fcis-21118	83	4	the	the	DET
fcis-21118	83	5	rest	rest	NOUN
fcis-21118	83	6	of	of	ADP
fcis-21118	83	7	the	the	DET
fcis-21118	83	8	models	model	NOUN
fcis-21118	83	9	is	be	AUX
fcis-21118	83	10	basically	basically	ADV
fcis-21118	83	11	the	the	DET
fcis-21118	83	12	same	same	ADJ
fcis-21118	83	13	,	,	PUNCT
fcis-21118	83	14	except	except	SCONJ
fcis-21118	83	15	for	for	ADP
fcis-21118	83	16	the	the	DET
fcis-21118	83	17	model	model	NOUN
fcis-21118	83	18	depth	depth	NOUN
fcis-21118	83	19	and	and	CCONJ
fcis-21118	83	20	model	model	NOUN
fcis-21118	83	21	width	width	NOUN
fcis-21118	83	22	.	.	PUNCT
fcis-21118	84	1	figure	figure	NOUN
fcis-21118	84	2	2	2	NUM
fcis-21118	84	3	.	.	X
fcis-21118	85	1	yolov5s	yolov5s	NOUN
fcis-21118	85	2	model	model	NOUN
fcis-21118	85	3	124	124	NUM
fcis-21118	85	4	2.3	2.3	NUM
fcis-21118	85	5	.	.	PUNCT
fcis-21118	86	1	improved	improve	VERB
fcis-21118	86	2	yolov5	yolov5	NOUN
fcis-21118	86	3	network	network	NOUN
fcis-21118	86	4	structure	structure	NOUN
fcis-21118	86	5	in	in	ADP
fcis-21118	86	6	order	order	NOUN
fcis-21118	86	7	to	to	PART
fcis-21118	86	8	solve	solve	VERB
fcis-21118	86	9	the	the	DET
fcis-21118	86	10	problems	problem	NOUN
fcis-21118	86	11	of	of	ADP
fcis-21118	86	12	tunnels	tunnel	NOUN
fcis-21118	86	13	with	with	ADP
fcis-21118	86	14	many	many	ADJ
fcis-21118	86	15	interference	interference	NOUN
fcis-21118	86	16	factors	factor	NOUN
fcis-21118	86	17	,	,	PUNCT
fcis-21118	86	18	small	small	ADJ
fcis-21118	86	19	crack	crack	NOUN
fcis-21118	86	20	targets	target	NOUN
fcis-21118	86	21	,	,	PUNCT
fcis-21118	86	22	cracks	crack	NOUN
fcis-21118	86	23	that	that	PRON
fcis-21118	86	24	are	be	AUX
fcis-21118	86	25	difficult	difficult	ADJ
fcis-21118	86	26	to	to	PART
fcis-21118	86	27	detect	detect	VERB
fcis-21118	86	28	,	,	PUNCT
fcis-21118	86	29	and	and	CCONJ
fcis-21118	86	30	for	for	ADP
fcis-21118	86	31	long	long	ADJ
fcis-21118	86	32	tunnels	tunnel	NOUN
fcis-21118	86	33	,	,	PUNCT
fcis-21118	86	34	the	the	DET
fcis-21118	86	35	yolo	yolo	ADJ
fcis-21118	86	36	network	network	NOUN
fcis-21118	86	37	model	model	NOUN
fcis-21118	86	38	has	have	VERB
fcis-21118	86	39	a	a	DET
fcis-21118	86	40	large	large	ADJ
fcis-21118	86	41	amount	amount	NOUN
fcis-21118	86	42	of	of	ADP
fcis-21118	86	43	calculations	calculation	NOUN
fcis-21118	86	44	,	,	PUNCT
fcis-21118	86	45	a	a	DET
fcis-21118	86	46	fusion	fusion	NOUN
fcis-21118	86	47	of	of	ADP
fcis-21118	86	48	convolutional	convolutional	ADJ
fcis-21118	86	49	block	block	NOUN
fcis-21118	86	50	attention	attention	NOUN
fcis-21118	86	51	mechanism	mechanism	NOUN
fcis-21118	86	52	(	(	PUNCT
fcis-21118	86	53	cbam	cbam	NOUN
fcis-21118	86	54	)	)	PUNCT
fcis-21118	86	55	and	and	CCONJ
fcis-21118	86	56	bidirectional	bidirectional	ADJ
fcis-21118	86	57	pyramid	pyramid	NOUN
fcis-21118	86	58	(	(	PUNCT
fcis-21118	86	59	bifpn	bifpn	PROPN
fcis-21118	86	60	)	)	PUNCT
fcis-21118	86	61	,	,	PUNCT
fcis-21118	86	62	and	and	CCONJ
fcis-21118	86	63	uses	use	VERB
fcis-21118	86	64	the	the	DET
fcis-21118	86	65	ghost	ghost	NOUN
fcis-21118	86	66	module	module	NOUN
fcis-21118	86	67	to	to	PART
fcis-21118	86	68	replace	replace	VERB
fcis-21118	86	69	the	the	DET
fcis-21118	86	70	traditional	traditional	ADJ
fcis-21118	86	71	convolution	convolution	NOUN
fcis-21118	86	72	improved	improve	VERB
fcis-21118	86	73	yolov5s	yolov5s	PROPN
fcis-21118	86	74	detection	detection	NOUN
fcis-21118	86	75	method	method	NOUN
fcis-21118	86	76	,	,	PUNCT
fcis-21118	86	77	called	call	VERB
fcis-21118	86	78	the	the	DET
fcis-21118	86	79	sd	sd	NOUN
fcis-21118	86	80	-	-	PUNCT
fcis-21118	86	81	yolo	yolo	ADJ
fcis-21118	86	82	model	model	NOUN
fcis-21118	86	83	.	.	PUNCT
fcis-21118	87	1	the	the	DET
fcis-21118	87	2	network	network	NOUN
fcis-21118	87	3	structure	structure	NOUN
fcis-21118	87	4	is	be	AUX
fcis-21118	87	5	shown	show	VERB
fcis-21118	87	6	in	in	ADP
fcis-21118	87	7	figure	figure	NOUN
fcis-21118	87	8	3	3	NUM
fcis-21118	87	9	.	.	PUNCT
fcis-21118	88	1	the	the	DET
fcis-21118	88	2	model	model	NOUN
fcis-21118	88	3	has	have	VERB
fcis-21118	88	4	the	the	DET
fcis-21118	88	5	following	follow	VERB
fcis-21118	88	6	improvements	improvement	NOUN
fcis-21118	88	7	:	:	PUNCT
fcis-21118	88	8	(	(	PUNCT
fcis-21118	88	9	1	1	X
fcis-21118	88	10	)	)	PUNCT
fcis-21118	88	11	use	use	VERB
fcis-21118	88	12	the	the	DET
fcis-21118	88	13	ghost	ghost	NOUN
fcis-21118	88	14	module	module	NOUN
fcis-21118	88	15	to	to	PART
fcis-21118	88	16	replace	replace	VERB
fcis-21118	88	17	the	the	DET
fcis-21118	88	18	traditional	traditional	ADJ
fcis-21118	88	19	convolution	convolution	NOUN
fcis-21118	88	20	module	module	NOUN
fcis-21118	88	21	to	to	PART
fcis-21118	88	22	eliminate	eliminate	VERB
fcis-21118	88	23	redundant	redundant	ADJ
fcis-21118	88	24	features	feature	NOUN
fcis-21118	88	25	,	,	PUNCT
fcis-21118	88	26	reduce	reduce	VERB
fcis-21118	88	27	the	the	DET
fcis-21118	88	28	number	number	NOUN
fcis-21118	88	29	of	of	ADP
fcis-21118	88	30	parameters	parameter	NOUN
fcis-21118	88	31	,	,	PUNCT
fcis-21118	88	32	and	and	CCONJ
fcis-21118	88	33	obtain	obtain	VERB
fcis-21118	88	34	a	a	DET
fcis-21118	88	35	more	more	ADV
fcis-21118	88	36	lightweight	lightweight	ADJ
fcis-21118	88	37	network	network	NOUN
fcis-21118	88	38	model	model	NOUN
fcis-21118	88	39	.	.	PUNCT
fcis-21118	89	1	(	(	PUNCT
fcis-21118	89	2	2	2	X
fcis-21118	89	3	)	)	PUNCT
fcis-21118	89	4	integrate	integrate	VERB
fcis-21118	89	5	cbam	cbam	NOUN
fcis-21118	89	6	into	into	ADP
fcis-21118	89	7	the	the	DET
fcis-21118	89	8	backbone	backbone	NOUN
fcis-21118	89	9	feature	feature	NOUN
fcis-21118	89	10	extraction	extraction	NOUN
fcis-21118	89	11	network	network	NOUN
fcis-21118	89	12	to	to	PART
fcis-21118	89	13	increase	increase	VERB
fcis-21118	89	14	the	the	DET
fcis-21118	89	15	network	network	NOUN
fcis-21118	89	16	's	's	PART
fcis-21118	89	17	interest	interest	NOUN
fcis-21118	89	18	in	in	ADP
fcis-21118	89	19	foreground	foreground	NOUN
fcis-21118	89	20	information	information	NOUN
fcis-21118	89	21	and	and	CCONJ
fcis-21118	89	22	suppress	suppress	VERB
fcis-21118	89	23	irrelevant	irrelevant	ADJ
fcis-21118	89	24	background	background	NOUN
fcis-21118	89	25	information	information	NOUN
fcis-21118	89	26	.	.	PUNCT
fcis-21118	90	1	enhance	enhance	VERB
fcis-21118	90	2	the	the	DET
fcis-21118	90	3	feature	feature	NOUN
fcis-21118	90	4	extraction	extraction	NOUN
fcis-21118	90	5	capabilities	capability	NOUN
fcis-21118	90	6	of	of	ADP
fcis-21118	90	7	the	the	DET
fcis-21118	90	8	network	network	NOUN
fcis-21118	90	9	.	.	PUNCT
fcis-21118	91	1	(	(	PUNCT
fcis-21118	91	2	3	3	X
fcis-21118	91	3	)	)	PUNCT
fcis-21118	91	4	bifpn	bifpn	PROPN
fcis-21118	91	5	feature	feature	NOUN
fcis-21118	91	6	fusion	fusion	NOUN
fcis-21118	91	7	network	network	NOUN
fcis-21118	91	8	is	be	AUX
fcis-21118	91	9	used	use	VERB
fcis-21118	91	10	to	to	PART
fcis-21118	91	11	achieve	achieve	VERB
fcis-21118	91	12	bidirectional	bidirectional	ADJ
fcis-21118	91	13	cross	cross	ADJ
fcis-21118	91	14	-	-	ADJ
fcis-21118	91	15	scale	scale	ADJ
fcis-21118	91	16	feature	feature	NOUN
fcis-21118	91	17	fusion	fusion	NOUN
fcis-21118	91	18	.	.	PUNCT
fcis-21118	92	1	it	it	PRON
fcis-21118	92	2	can	can	AUX
fcis-21118	92	3	improve	improve	VERB
fcis-21118	92	4	the	the	DET
fcis-21118	92	5	detection	detection	NOUN
fcis-21118	92	6	ability	ability	NOUN
fcis-21118	92	7	of	of	ADP
fcis-21118	92	8	the	the	DET
fcis-21118	92	9	detection	detection	NOUN
fcis-21118	92	10	algorithm	algorithm	NOUN
fcis-21118	92	11	for	for	ADP
fcis-21118	92	12	small	small	ADJ
fcis-21118	92	13	targets	target	NOUN
fcis-21118	92	14	and	and	CCONJ
fcis-21118	92	15	greatly	greatly	ADV
fcis-21118	92	16	reduce	reduce	VERB
fcis-21118	92	17	the	the	DET
fcis-21118	92	18	calculation	calculation	NOUN
fcis-21118	92	19	amount	amount	NOUN
fcis-21118	92	20	of	of	ADP
fcis-21118	92	21	the	the	DET
fcis-21118	92	22	model	model	NOUN
fcis-21118	92	23	.	.	PUNCT
fcis-21118	93	1	figure	figure	VERB
fcis-21118	93	2	3	3	NUM
fcis-21118	93	3	.	.	NOUN
fcis-21118	93	4	sd	sd	NOUN
fcis-21118	93	5	-	-	PUNCT
fcis-21118	93	6	yolo	yolo	ADJ
fcis-21118	93	7	model	model	NOUN
fcis-21118	93	8	2.3.1	2.3.1	NUM
fcis-21118	93	9	.	.	PUNCT
fcis-21118	93	10	ghost	ghost	NOUN
fcis-21118	93	11	module	module	NOUN
fcis-21118	93	12	in	in	ADP
fcis-21118	93	13	convolutional	convolutional	ADJ
fcis-21118	93	14	neural	neural	ADJ
fcis-21118	93	15	networks	network	NOUN
fcis-21118	93	16	,	,	PUNCT
fcis-21118	93	17	feature	feature	NOUN
fcis-21118	93	18	extraction	extraction	NOUN
fcis-21118	93	19	often	often	ADV
fcis-21118	93	20	leads	lead	VERB
fcis-21118	93	21	to	to	PART
fcis-21118	93	22	redundant	redundant	VERB
fcis-21118	93	23	feature	feature	NOUN
fcis-21118	93	24	maps	map	NOUN
fcis-21118	93	25	.	.	PUNCT
fcis-21118	94	1	deeper	deep	ADJ
fcis-21118	94	2	networks	network	NOUN
fcis-21118	94	3	use	use	VERB
fcis-21118	94	4	a	a	DET
fcis-21118	94	5	large	large	ADJ
fcis-21118	94	6	number	number	NOUN
fcis-21118	94	7	of	of	ADP
fcis-21118	94	8	convolutional	convolutional	ADJ
fcis-21118	94	9	layers	layer	NOUN
fcis-21118	94	10	to	to	PART
fcis-21118	94	11	stack	stack	VERB
fcis-21118	94	12	,	,	PUNCT
fcis-21118	94	13	producing	produce	VERB
fcis-21118	94	14	a	a	DET
fcis-21118	94	15	large	large	ADJ
fcis-21118	94	16	number	number	NOUN
fcis-21118	94	17	of	of	ADP
fcis-21118	94	18	redundant	redundant	ADJ
fcis-21118	94	19	feature	feature	NOUN
fcis-21118	94	20	maps	map	NOUN
fcis-21118	94	21	.	.	PUNCT
fcis-21118	95	1	as	as	SCONJ
fcis-21118	95	2	the	the	DET
fcis-21118	95	3	number	number	NOUN
fcis-21118	95	4	of	of	ADP
fcis-21118	95	5	parameters	parameter	NOUN
fcis-21118	95	6	increases	increase	NOUN
fcis-21118	95	7	,	,	PUNCT
fcis-21118	95	8	the	the	DET
fcis-21118	95	9	consumption	consumption	NOUN
fcis-21118	95	10	of	of	ADP
fcis-21118	95	11	calculations	calculation	NOUN
fcis-21118	95	12	also	also	ADV
fcis-21118	95	13	increases	increase	VERB
fcis-21118	95	14	.	.	PUNCT
fcis-21118	96	1	in	in	ADP
fcis-21118	96	2	order	order	NOUN
fcis-21118	96	3	to	to	PART
fcis-21118	96	4	reduce	reduce	VERB
fcis-21118	96	5	the	the	DET
fcis-21118	96	6	amount	amount	NOUN
fcis-21118	96	7	of	of	ADP
fcis-21118	96	8	network	network	NOUN
fcis-21118	96	9	calculations	calculation	NOUN
fcis-21118	96	10	,	,	PUNCT
fcis-21118	96	11	the	the	DET
fcis-21118	96	12	ghost	ghost	NOUN
fcis-21118	96	13	module	module	NOUN
fcis-21118	96	14	divides	divide	VERB
fcis-21118	96	15	the	the	DET
fcis-21118	96	16	traditional	traditional	ADJ
fcis-21118	96	17	convolution	convolution	NOUN
fcis-21118	96	18	into	into	ADP
fcis-21118	96	19	two	two	NUM
fcis-21118	96	20	step	step	NOUN
fcis-21118	96	21	by	by	ADP
fcis-21118	96	22	step	step	NOUN
fcis-21118	96	23	,	,	PUNCT
fcis-21118	96	24	first	first	ADV
fcis-21118	96	25	use	use	VERB
fcis-21118	96	26	less	less	ADJ
fcis-21118	96	27	calculation	calculation	NOUN
fcis-21118	96	28	amount	amount	NOUN
fcis-21118	96	29	to	to	PART
fcis-21118	96	30	generate	generate	VERB
fcis-21118	96	31	a	a	DET
fcis-21118	96	32	feature	feature	NOUN
fcis-21118	96	33	map	map	NOUN
fcis-21118	96	34	with	with	ADP
fcis-21118	96	35	smaller	small	ADJ
fcis-21118	96	36	channels	channel	NOUN
fcis-21118	96	37	through	through	ADP
fcis-21118	96	38	traditional	traditional	ADJ
fcis-21118	96	39	convolution	convolution	NOUN
fcis-21118	96	40	,	,	PUNCT
fcis-21118	96	41	and	and	CCONJ
fcis-21118	96	42	then	then	ADV
fcis-21118	96	43	based	base	VERB
fcis-21118	96	44	on	on	ADP
fcis-21118	96	45	this	this	DET
fcis-21118	96	46	feature	feature	NOUN
fcis-21118	96	47	map	map	NOUN
fcis-21118	96	48	,	,	PUNCT
fcis-21118	96	49	use	use	VERB
fcis-21118	96	50	depth	depth	NOUN
fcis-21118	96	51	separable	separable	ADJ
fcis-21118	96	52	convolution	convolution	NOUN
fcis-21118	96	53	to	to	PART
fcis-21118	96	54	further	far	ADV
fcis-21118	96	55	use	use	VERB
fcis-21118	96	56	less	less	ADJ
fcis-21118	96	57	calculation	calculation	NOUN
fcis-21118	96	58	amount	amount	NOUN
fcis-21118	96	59	to	to	PART
fcis-21118	96	60	generate	generate	VERB
fcis-21118	96	61	a	a	DET
fcis-21118	96	62	new	new	ADJ
fcis-21118	96	63	feature	feature	NOUN
fcis-21118	96	64	map	map	NOUN
fcis-21118	96	65	.	.	PUNCT
fcis-21118	97	1	feature	feature	NOUN
fcis-21118	97	2	maps	map	NOUN
fcis-21118	97	3	,	,	PUNCT
fcis-21118	97	4	and	and	CCONJ
fcis-21118	97	5	finally	finally	ADV
fcis-21118	97	6	the	the	DET
fcis-21118	97	7	two	two	NUM
fcis-21118	97	8	sets	set	NOUN
fcis-21118	97	9	of	of	ADP
fcis-21118	97	10	feature	feature	NOUN
fcis-21118	97	11	maps	map	NOUN
fcis-21118	97	12	are	be	AUX
fcis-21118	97	13	spliced	splice	VERB
fcis-21118	97	14	together	together	ADV
fcis-21118	97	15	to	to	PART
fcis-21118	97	16	eliminate	eliminate	VERB
fcis-21118	97	17	redundant	redundant	ADJ
fcis-21118	97	18	features	feature	NOUN
fcis-21118	97	19	and	and	CCONJ
fcis-21118	97	20	obtain	obtain	VERB
fcis-21118	97	21	a	a	DET
fcis-21118	97	22	more	more	ADV
fcis-21118	97	23	lightweight	lightweight	ADJ
fcis-21118	97	24	network	network	NOUN
fcis-21118	97	25	model	model	NOUN
fcis-21118	97	26	.	.	PUNCT
fcis-21118	98	1	the	the	DET
fcis-21118	98	2	principle	principle	NOUN
fcis-21118	98	3	is	be	AUX
fcis-21118	98	4	shown	show	VERB
fcis-21118	98	5	in	in	ADP
fcis-21118	98	6	figure	figure	NOUN
fcis-21118	98	7	4	4	NUM
fcis-21118	98	8	.	.	PUNCT
fcis-21118	98	9	figure	figure	VERB
fcis-21118	98	10	4	4	NUM
fcis-21118	98	11	.	.	NOUN
fcis-21118	98	12	ghost	ghost	NOUN
fcis-21118	98	13	module	module	NOUN
fcis-21118	98	14	schematic	schematic	ADJ
fcis-21118	98	15	diagram	diagram	NOUN
fcis-21118	98	16	in	in	ADP
fcis-21118	98	17	order	order	NOUN
fcis-21118	98	18	to	to	PART
fcis-21118	98	19	improve	improve	VERB
fcis-21118	98	20	the	the	DET
fcis-21118	98	21	calculation	calculation	NOUN
fcis-21118	98	22	speed	speed	NOUN
fcis-21118	98	23	of	of	ADP
fcis-21118	98	24	the	the	DET
fcis-21118	98	25	model	model	NOUN
fcis-21118	98	26	,	,	PUNCT
fcis-21118	98	27	and	and	CCONJ
fcis-21118	98	28	in	in	ADP
fcis-21118	98	29	view	view	NOUN
fcis-21118	98	30	of	of	ADP
fcis-21118	98	31	the	the	DET
fcis-21118	98	32	fact	fact	NOUN
fcis-21118	98	33	that	that	SCONJ
fcis-21118	98	34	cracks	crack	NOUN
fcis-21118	98	35	are	be	AUX
fcis-21118	98	36	mainly	mainly	ADV
fcis-21118	98	37	detected	detect	VERB
fcis-21118	98	38	by	by	ADP
fcis-21118	98	39	small	small	ADJ
fcis-21118	98	40	targets	target	NOUN
fcis-21118	98	41	,	,	PUNCT
fcis-21118	98	42	in	in	ADP
fcis-21118	98	43	order	order	NOUN
fcis-21118	98	44	to	to	PART
fcis-21118	98	45	extract	extract	VERB
fcis-21118	98	46	more	more	ADJ
fcis-21118	98	47	small	small	ADJ
fcis-21118	98	48	target	target	NOUN
fcis-21118	98	49	feature	feature	NOUN
fcis-21118	98	50	information	information	NOUN
fcis-21118	98	51	,	,	PUNCT
fcis-21118	98	52	this	this	DET
fcis-21118	98	53	paper	paper	NOUN
fcis-21118	98	54	selects	select	VERB
fcis-21118	98	55	all	all	DET
fcis-21118	98	56	3×3	3×3	NUM
fcis-21118	98	57	size	size	NOUN
fcis-21118	98	58	calculation	calculation	NOUN
fcis-21118	98	59	kernels	kernel	NOUN
fcis-21118	98	60	in	in	ADP
fcis-21118	98	61	the	the	DET
fcis-21118	98	62	ghost	ghost	NOUN
fcis-21118	98	63	model	model	NOUN
fcis-21118	98	64	,	,	PUNCT
fcis-21118	98	65	based	base	VERB
fcis-21118	98	66	on	on	ADP
fcis-21118	98	67	the	the	DET
fcis-21118	98	68	framework	framework	NOUN
fcis-21118	98	69	of	of	ADP
fcis-21118	98	70	the	the	DET
fcis-21118	98	71	ghost	ghost	NOUN
fcis-21118	98	72	model	model	NOUN
fcis-21118	98	73	the	the	DET
fcis-21118	98	74	ghost	ghost	NOUN
fcis-21118	98	75	bottleneck	bottleneck	NOUN
fcis-21118	98	76	module	module	NOUN
fcis-21118	98	77	optimizes	optimize	VERB
fcis-21118	98	78	the	the	DET
fcis-21118	98	79	yolov5s	yolov5s	PROPN
fcis-21118	98	80	network	network	NOUN
fcis-21118	98	81	structure	structure	NOUN
fcis-21118	98	82	.	.	PUNCT
fcis-21118	99	1	2.3.2	2.3.2	X
fcis-21118	99	2	.	.	PUNCT
fcis-21118	99	3	cbam	cbam	NOUN
fcis-21118	99	4	attention	attention	NOUN
fcis-21118	99	5	mechanism	mechanism	NOUN
fcis-21118	99	6	module	module	NOUN
fcis-21118	99	7	since	since	SCONJ
fcis-21118	99	8	the	the	DET
fcis-21118	99	9	tunnel	tunnel	NOUN
fcis-21118	99	10	environment	environment	NOUN
fcis-21118	99	11	is	be	AUX
fcis-21118	99	12	relatively	relatively	ADV
fcis-21118	99	13	complex	complex	ADJ
fcis-21118	99	14	,	,	PUNCT
fcis-21118	99	15	there	there	PRON
fcis-21118	99	16	are	be	VERB
fcis-21118	99	17	many	many	ADJ
fcis-21118	99	18	interference	interference	NOUN
fcis-21118	99	19	factors	factor	NOUN
fcis-21118	99	20	.	.	PUNCT
fcis-21118	100	1	the	the	DET
fcis-21118	100	2	positioning	positioning	NOUN
fcis-21118	100	3	of	of	ADP
fcis-21118	100	4	cracks	crack	NOUN
fcis-21118	100	5	is	be	AUX
fcis-21118	100	6	125	125	NUM
fcis-21118	100	7	inaccurate	inaccurate	ADJ
fcis-21118	100	8	,	,	PUNCT
fcis-21118	100	9	and	and	CCONJ
fcis-21118	100	10	for	for	ADP
fcis-21118	100	11	long	long	ADJ
fcis-21118	100	12	tunnels	tunnel	NOUN
fcis-21118	100	13	,	,	PUNCT
fcis-21118	100	14	there	there	PRON
fcis-21118	100	15	are	be	VERB
fcis-21118	100	16	many	many	ADJ
fcis-21118	100	17	pictures	picture	NOUN
fcis-21118	100	18	and	and	CCONJ
fcis-21118	100	19	a	a	DET
fcis-21118	100	20	large	large	ADJ
fcis-21118	100	21	amount	amount	NOUN
fcis-21118	100	22	of	of	ADP
fcis-21118	100	23	calculation	calculation	NOUN
fcis-21118	100	24	.	.	PUNCT
fcis-21118	101	1	in	in	ADP
fcis-21118	101	2	order	order	NOUN
fcis-21118	101	3	to	to	PART
fcis-21118	101	4	improve	improve	VERB
fcis-21118	101	5	the	the	DET
fcis-21118	101	6	accuracy	accuracy	NOUN
fcis-21118	101	7	of	of	ADP
fcis-21118	101	8	target	target	NOUN
fcis-21118	101	9	detection	detection	NOUN
fcis-21118	101	10	and	and	CCONJ
fcis-21118	101	11	object	object	VERB
fcis-21118	101	12	classification	classification	NOUN
fcis-21118	101	13	,	,	PUNCT
fcis-21118	101	14	while	while	SCONJ
fcis-21118	101	15	reducing	reduce	VERB
fcis-21118	101	16	computational	computational	ADJ
fcis-21118	101	17	overhead	overhead	NOUN
fcis-21118	101	18	and	and	CCONJ
fcis-21118	101	19	parameter	parameter	NOUN
fcis-21118	101	20	size	size	NOUN
fcis-21118	101	21	,	,	PUNCT
fcis-21118	101	22	the	the	DET
fcis-21118	101	23	cbam	cbam	NOUN
fcis-21118	101	24	(	(	PUNCT
fcis-21118	101	25	convolutional	convolutional	ADJ
fcis-21118	101	26	block	block	NOUN
fcis-21118	101	27	attention	attention	NOUN
fcis-21118	101	28	module	module	NOUN
fcis-21118	101	29	)	)	PUNCT
fcis-21118	101	30	attention	attention	NOUN
fcis-21118	101	31	mechanism	mechanism	NOUN
fcis-21118	101	32	module	module	NOUN
fcis-21118	101	33	is	be	AUX
fcis-21118	101	34	introduced	introduce	VERB
fcis-21118	101	35	improve	improve	VERB
fcis-21118	101	36	network	network	NOUN
fcis-21118	101	37	performance	performance	NOUN
fcis-21118	101	38	.	.	PUNCT
fcis-21118	102	1	cbam	cbam	NOUN
fcis-21118	102	2	(	(	PUNCT
fcis-21118	102	3	figure	figure	NOUN
fcis-21118	102	4	5	5	NUM
fcis-21118	102	5	)	)	PUNCT
fcis-21118	102	6	consists	consist	VERB
fcis-21118	102	7	of	of	ADP
fcis-21118	102	8	two	two	NUM
fcis-21118	102	9	modules	module	NOUN
fcis-21118	102	10	,	,	PUNCT
fcis-21118	102	11	namely	namely	ADV
fcis-21118	102	12	channel	channel	VERB
fcis-21118	102	13	attention	attention	NOUN
fcis-21118	102	14	(	(	PUNCT
fcis-21118	102	15	cam	cam	NOUN
fcis-21118	102	16	)	)	PUNCT
fcis-21118	102	17	and	and	CCONJ
fcis-21118	102	18	spatial	spatial	ADJ
fcis-21118	102	19	attention	attention	NOUN
fcis-21118	102	20	module	module	NOUN
fcis-21118	102	21	(	(	PUNCT
fcis-21118	102	22	sam	sam	PROPN
fcis-21118	102	23	)	)	PUNCT
fcis-21118	102	24	.	.	PUNCT
fcis-21118	103	1	cam	cam	NOUN
fcis-21118	103	2	(	(	PUNCT
fcis-21118	103	3	figure	figure	NOUN
fcis-21118	103	4	6	6	NUM
fcis-21118	103	5	)	)	PUNCT
fcis-21118	103	6	can	can	AUX
fcis-21118	103	7	make	make	VERB
fcis-21118	103	8	the	the	DET
fcis-21118	103	9	network	network	NOUN
fcis-21118	103	10	focus	focus	VERB
fcis-21118	103	11	on	on	ADP
fcis-21118	103	12	the	the	DET
fcis-21118	103	13	foreground	foreground	NOUN
fcis-21118	103	14	of	of	ADP
fcis-21118	103	15	the	the	DET
fcis-21118	103	16	image	image	NOUN
fcis-21118	103	17	,	,	PUNCT
fcis-21118	103	18	making	make	VERB
fcis-21118	103	19	the	the	DET
fcis-21118	103	20	network	network	NOUN
fcis-21118	103	21	pay	pay	VERB
fcis-21118	103	22	more	more	ADJ
fcis-21118	103	23	attention	attention	NOUN
fcis-21118	103	24	to	to	ADP
fcis-21118	103	25	meaningful	meaningful	ADJ
fcis-21118	103	26	area	area	NOUN
fcis-21118	103	27	,	,	PUNCT
fcis-21118	103	28	and	and	CCONJ
fcis-21118	103	29	sam	sam	PROPN
fcis-21118	103	30	(	(	PUNCT
fcis-21118	103	31	figure	figure	NOUN
fcis-21118	103	32	7	7	NUM
fcis-21118	103	33	)	)	PUNCT
fcis-21118	103	34	allows	allow	VERB
fcis-21118	103	35	the	the	DET
fcis-21118	103	36	network	network	NOUN
fcis-21118	103	37	to	to	PART
fcis-21118	103	38	focus	focus	VERB
fcis-21118	103	39	on	on	ADP
fcis-21118	103	40	locations	location	NOUN
fcis-21118	103	41	rich	rich	ADJ
fcis-21118	103	42	in	in	ADP
fcis-21118	103	43	contextual	contextual	ADJ
fcis-21118	103	44	information	information	NOUN
fcis-21118	103	45	in	in	ADP
fcis-21118	103	46	the	the	DET
fcis-21118	103	47	entire	entire	ADJ
fcis-21118	103	48	image	image	NOUN
fcis-21118	103	49	.	.	PUNCT
fcis-21118	104	1	in	in	ADP
fcis-21118	104	2	this	this	DET
fcis-21118	104	3	way	way	NOUN
fcis-21118	104	4	,	,	PUNCT
fcis-21118	104	5	each	each	DET
fcis-21118	104	6	branch	branch	NOUN
fcis-21118	104	7	can	can	AUX
fcis-21118	104	8	understand	understand	VERB
fcis-21118	104	9	"	"	PUNCT
fcis-21118	104	10	what	what	PRON
fcis-21118	104	11	"	"	PUNCT
fcis-21118	104	12	and	and	CCONJ
fcis-21118	104	13	"	"	PUNCT
fcis-21118	104	14	where	where	SCONJ
fcis-21118	104	15	"	"	PUNCT
fcis-21118	104	16	to	to	PART
fcis-21118	104	17	focus	focus	VERB
fcis-21118	104	18	on	on	ADP
fcis-21118	104	19	the	the	DET
fcis-21118	104	20	channel	channel	NOUN
fcis-21118	104	21	axis	axis	NOUN
fcis-21118	104	22	and	and	CCONJ
fcis-21118	104	23	the	the	DET
fcis-21118	104	24	spatial	spatial	ADJ
fcis-21118	104	25	axis	axis	NOUN
fcis-21118	104	26	respectively	respectively	ADV
fcis-21118	104	27	.	.	PUNCT
fcis-21118	105	1	since	since	SCONJ
fcis-21118	105	2	cbam	cbam	NOUN
fcis-21118	105	3	is	be	AUX
fcis-21118	105	4	a	a	DET
fcis-21118	105	5	lightweight	lightweight	ADJ
fcis-21118	105	6	general	general	ADJ
fcis-21118	105	7	-	-	PUNCT
fcis-21118	105	8	purpose	purpose	NOUN
fcis-21118	105	9	module	module	NOUN
fcis-21118	105	10	,	,	PUNCT
fcis-21118	105	11	the	the	DET
fcis-21118	105	12	overhead	overhead	NOUN
fcis-21118	105	13	of	of	ADP
fcis-21118	105	14	this	this	DET
fcis-21118	105	15	module	module	NOUN
fcis-21118	105	16	can	can	AUX
fcis-21118	105	17	be	be	AUX
fcis-21118	105	18	ignored	ignore	VERB
fcis-21118	105	19	and	and	CCONJ
fcis-21118	105	20	it	it	PRON
fcis-21118	105	21	can	can	AUX
fcis-21118	105	22	be	be	AUX
fcis-21118	105	23	seamlessly	seamlessly	ADV
fcis-21118	105	24	integrated	integrate	VERB
fcis-21118	105	25	into	into	ADP
fcis-21118	105	26	the	the	DET
fcis-21118	105	27	yolov5	yolov5	NOUN
fcis-21118	105	28	architecture	architecture	NOUN
fcis-21118	105	29	and	and	CCONJ
fcis-21118	105	30	can	can	AUX
fcis-21118	105	31	be	be	AUX
fcis-21118	105	32	trained	train	VERB
fcis-21118	105	33	together	together	ADV
fcis-21118	105	34	with	with	ADP
fcis-21118	105	35	it	it	PRON
fcis-21118	105	36	end	end	NOUN
fcis-21118	105	37	-	-	PUNCT
fcis-21118	105	38	to	to	ADP
fcis-21118	105	39	-	-	PUNCT
fcis-21118	105	40	end	end	NOUN
fcis-21118	105	41	.	.	PUNCT
fcis-21118	106	1	therefore	therefore	ADV
fcis-21118	106	2	,	,	PUNCT
fcis-21118	106	3	the	the	DET
fcis-21118	106	4	cbam	cbam	NOUN
fcis-21118	106	5	module	module	NOUN
fcis-21118	106	6	effectively	effectively	ADV
fcis-21118	106	7	identifies	identify	VERB
fcis-21118	106	8	and	and	CCONJ
fcis-21118	106	9	locates	locate	VERB
fcis-21118	106	10	the	the	DET
fcis-21118	106	11	location	location	NOUN
fcis-21118	106	12	information	information	NOUN
fcis-21118	106	13	of	of	ADP
fcis-21118	106	14	cracks	crack	NOUN
fcis-21118	106	15	by	by	ADP
fcis-21118	106	16	learning	learn	VERB
fcis-21118	106	17	which	which	DET
fcis-21118	106	18	information	information	NOUN
fcis-21118	106	19	should	should	AUX
fcis-21118	106	20	be	be	AUX
fcis-21118	106	21	emphasized	emphasize	VERB
fcis-21118	106	22	or	or	CCONJ
fcis-21118	106	23	suppressed	suppress	VERB
fcis-21118	106	24	.	.	PUNCT
fcis-21118	107	1	the	the	DET
fcis-21118	107	2	overall	overall	ADJ
fcis-21118	107	3	flow	flow	NOUN
fcis-21118	107	4	chart	chart	NOUN
fcis-21118	107	5	of	of	ADP
fcis-21118	107	6	cbam	cbam	NOUN
fcis-21118	107	7	is	be	AUX
fcis-21118	107	8	as	as	SCONJ
fcis-21118	107	9	follows	follow	VERB
fcis-21118	107	10	.	.	PUNCT
fcis-21118	108	1	the	the	DET
fcis-21118	108	2	input	input	NOUN
fcis-21118	108	3	feature	feature	NOUN
fcis-21118	108	4	map	map	NOUN
fcis-21118	108	5	passes	pass	VERB
fcis-21118	108	6	through	through	ADP
fcis-21118	108	7	the	the	DET
fcis-21118	108	8	channel	channel	NOUN
fcis-21118	108	9	attention	attention	NOUN
fcis-21118	108	10	mechanism	mechanism	NOUN
fcis-21118	108	11	,	,	PUNCT
fcis-21118	108	12	and	and	CCONJ
fcis-21118	108	13	the	the	DET
fcis-21118	108	14	weight	weight	NOUN
fcis-21118	108	15	and	and	CCONJ
fcis-21118	108	16	the	the	DET
fcis-21118	108	17	input	input	NOUN
fcis-21118	108	18	feature	feature	NOUN
fcis-21118	108	19	map	map	NOUN
fcis-21118	108	20	are	be	AUX
fcis-21118	108	21	multiplied	multiply	VERB
fcis-21118	108	22	before	before	ADP
fcis-21118	108	23	being	be	AUX
fcis-21118	108	24	sent	send	VERB
fcis-21118	108	25	to	to	ADP
fcis-21118	108	26	the	the	DET
fcis-21118	108	27	spatial	spatial	ADJ
fcis-21118	108	28	attention	attention	NOUN
fcis-21118	108	29	mechanism	mechanism	NOUN
fcis-21118	108	30	.	.	PUNCT
fcis-21118	109	1	the	the	DET
fcis-21118	109	2	normalized	normalize	VERB
fcis-21118	109	3	weight	weight	NOUN
fcis-21118	109	4	and	and	CCONJ
fcis-21118	109	5	the	the	DET
fcis-21118	109	6	input	input	NOUN
fcis-21118	109	7	feature	feature	NOUN
fcis-21118	109	8	map	map	NOUN
fcis-21118	109	9	of	of	ADP
fcis-21118	109	10	the	the	DET
fcis-21118	109	11	spatial	spatial	ADJ
fcis-21118	109	12	attention	attention	NOUN
fcis-21118	109	13	mechanism	mechanism	NOUN
fcis-21118	109	14	are	be	AUX
fcis-21118	109	15	multiplied	multiply	VERB
fcis-21118	109	16	to	to	PART
fcis-21118	109	17	obtain	obtain	VERB
fcis-21118	109	18	the	the	DET
fcis-21118	109	19	final	final	ADJ
fcis-21118	109	20	feature	feature	NOUN
fcis-21118	109	21	map	map	NOUN
fcis-21118	109	22	.	.	PUNCT
fcis-21118	110	1	figure	figure	VERB
fcis-21118	110	2	5	5	NUM
fcis-21118	110	3	.	.	PUNCT
fcis-21118	111	1	cbam	cbam	NOUN
fcis-21118	111	2	attention	attention	NOUN
fcis-21118	111	3	mechanism	mechanism	NOUN
fcis-21118	111	4	diagram	diagram	NOUN
fcis-21118	111	5	figure	figure	NOUN
fcis-21118	111	6	6	6	NUM
fcis-21118	111	7	.	.	PUNCT
fcis-21118	112	1	cam	cam	VERB
fcis-21118	112	2	attention	attention	NOUN
fcis-21118	112	3	mechanism	mechanism	NOUN
fcis-21118	112	4	diagram	diagram	NOUN
fcis-21118	112	5	figure	figure	NOUN
fcis-21118	112	6	7	7	NUM
fcis-21118	112	7	.	.	PUNCT
fcis-21118	113	1	sam	sam	PROPN
fcis-21118	113	2	attention	attention	NOUN
fcis-21118	113	3	mechanism	mechanism	NOUN
fcis-21118	113	4	diagram	diagram	NOUN
fcis-21118	113	5	2.3.3	2.3.3	NUM
fcis-21118	113	6	.	.	PUNCT
fcis-21118	114	1	bidirectional	bidirectional	ADJ
fcis-21118	114	2	pyramid	pyramid	NOUN
fcis-21118	114	3	feature	feature	NOUN
fcis-21118	114	4	fusion	fusion	NOUN
fcis-21118	114	5	network	network	NOUN
fcis-21118	114	6	with	with	ADP
fcis-21118	114	7	the	the	DET
fcis-21118	114	8	continuous	continuous	ADJ
fcis-21118	114	9	innovation	innovation	NOUN
fcis-21118	114	10	of	of	ADP
fcis-21118	114	11	yolo	yolo	ADJ
fcis-21118	114	12	architecture	architecture	NOUN
fcis-21118	114	13	,	,	PUNCT
fcis-21118	114	14	the	the	DET
fcis-21118	114	15	network	network	NOUN
fcis-21118	114	16	gradually	gradually	ADV
fcis-21118	114	17	deepens	deepen	VERB
fcis-21118	115	1	,	,	PUNCT
fcis-21118	115	2	the	the	DET
fcis-21118	115	3	model	model	NOUN
fcis-21118	115	4	becomes	become	VERB
fcis-21118	115	5	more	more	ADV
fcis-21118	115	6	and	and	CCONJ
fcis-21118	115	7	more	more	ADV
fcis-21118	115	8	complex	complex	ADJ
fcis-21118	115	9	,	,	PUNCT
fcis-21118	115	10	and	and	CCONJ
fcis-21118	115	11	the	the	DET
fcis-21118	115	12	features	feature	NOUN
fcis-21118	115	13	extracted	extract	VERB
fcis-21118	115	14	by	by	ADP
fcis-21118	115	15	the	the	DET
fcis-21118	115	16	model	model	NOUN
fcis-21118	115	17	become	become	VERB
fcis-21118	115	18	more	more	ADV
fcis-21118	115	19	and	and	CCONJ
fcis-21118	115	20	more	more	ADV
fcis-21118	115	21	complex	complex	ADJ
fcis-21118	115	22	,	,	PUNCT
fcis-21118	115	23	which	which	PRON
fcis-21118	115	24	will	will	AUX
fcis-21118	115	25	cause	cause	VERB
fcis-21118	115	26	a	a	DET
fcis-21118	115	27	certain	certain	ADJ
fcis-21118	115	28	feature	feature	NOUN
fcis-21118	115	29	loss	loss	NOUN
fcis-21118	115	30	.	.	PUNCT
fcis-21118	116	1	in	in	ADP
fcis-21118	116	2	the	the	DET
fcis-21118	116	3	model	model	NOUN
fcis-21118	116	4	,	,	PUNCT
fcis-21118	116	5	shallow	shallow	ADJ
fcis-21118	116	6	networks	network	NOUN
fcis-21118	116	7	have	have	VERB
fcis-21118	116	8	higher	high	ADJ
fcis-21118	116	9	resolution	resolution	NOUN
fcis-21118	116	10	and	and	CCONJ
fcis-21118	116	11	cover	cover	VERB
fcis-21118	116	12	more	more	ADV
fcis-21118	116	13	accurate	accurate	ADJ
fcis-21118	116	14	location	location	NOUN
fcis-21118	116	15	information	information	NOUN
fcis-21118	116	16	than	than	ADP
fcis-21118	116	17	deep	deep	ADJ
fcis-21118	116	18	networks	network	NOUN
fcis-21118	116	19	.	.	PUNCT
fcis-21118	117	1	deep	deep	ADJ
fcis-21118	117	2	networks	network	NOUN
fcis-21118	117	3	have	have	VERB
fcis-21118	117	4	a	a	DET
fcis-21118	117	5	larger	large	ADJ
fcis-21118	117	6	receptive	receptive	ADJ
fcis-21118	117	7	field	field	NOUN
fcis-21118	117	8	than	than	ADP
fcis-21118	117	9	shallow	shallow	ADJ
fcis-21118	117	10	networks	network	NOUN
fcis-21118	117	11	and	and	CCONJ
fcis-21118	117	12	can	can	AUX
fcis-21118	117	13	cover	cover	VERB
fcis-21118	117	14	more	more	ADV
fcis-21118	117	15	high	high	ADJ
fcis-21118	117	16	-	-	PUNCT
fcis-21118	117	17	dimensional	dimensional	ADJ
fcis-21118	117	18	semantic	semantic	ADJ
fcis-21118	117	19	information	information	NOUN
fcis-21118	117	20	,	,	PUNCT
fcis-21118	117	21	which	which	PRON
fcis-21118	117	22	is	be	AUX
fcis-21118	117	23	beneficial	beneficial	ADJ
fcis-21118	117	24	to	to	ADP
fcis-21118	117	25	the	the	DET
fcis-21118	117	26	classification	classification	NOUN
fcis-21118	117	27	of	of	ADP
fcis-21118	117	28	detection	detection	NOUN
fcis-21118	117	29	targets	target	NOUN
fcis-21118	117	30	.	.	PUNCT
fcis-21118	118	1	therefore	therefore	ADV
fcis-21118	118	2	,	,	PUNCT
fcis-21118	118	3	using	use	VERB
fcis-21118	118	4	better	well	ADJ
fcis-21118	118	5	feature	feature	NOUN
fcis-21118	118	6	fusion	fusion	NOUN
fcis-21118	118	7	methods	method	NOUN
fcis-21118	118	8	to	to	PART
fcis-21118	118	9	fuse	fuse	VERB
fcis-21118	118	10	feature	feature	NOUN
fcis-21118	118	11	information	information	NOUN
fcis-21118	118	12	of	of	ADP
fcis-21118	118	13	different	different	ADJ
fcis-21118	118	14	scales	scale	NOUN
fcis-21118	118	15	is	be	AUX
fcis-21118	118	16	very	very	ADV
fcis-21118	118	17	important	important	ADJ
fcis-21118	118	18	to	to	PART
fcis-21118	118	19	improve	improve	VERB
fcis-21118	118	20	the	the	DET
fcis-21118	118	21	performance	performance	NOUN
fcis-21118	118	22	of	of	ADP
fcis-21118	118	23	target	target	NOUN
fcis-21118	118	24	detection	detection	NOUN
fcis-21118	118	25	models	model	NOUN
fcis-21118	118	26	.	.	PUNCT
fcis-21118	119	1	the	the	DET
fcis-21118	119	2	yolov5s	yolov5s	PROPN
fcis-21118	119	3	algorithm	algorithm	NOUN
fcis-21118	119	4	continues	continue	VERB
fcis-21118	119	5	the	the	DET
fcis-21118	119	6	panet	panet	PROPN
fcis-21118	119	7	(	(	PUNCT
fcis-21118	119	8	path	path	NOUN
fcis-21118	119	9	aggregation	aggregation	NOUN
fcis-21118	119	10	network	network	NOUN
fcis-21118	119	11	)	)	PUNCT
fcis-21118	119	12	in	in	ADP
fcis-21118	119	13	yolov4	yolov4	NOUN
fcis-21118	119	14	and	and	CCONJ
fcis-21118	119	15	is	be	AUX
fcis-21118	119	16	used	use	VERB
fcis-21118	119	17	for	for	ADP
fcis-21118	119	18	feature	feature	NOUN
fcis-21118	119	19	fusion	fusion	NOUN
fcis-21118	119	20	of	of	ADP
fcis-21118	119	21	the	the	DET
fcis-21118	119	22	neck	neck	NOUN
fcis-21118	119	23	segment	segment	NOUN
fcis-21118	119	24	.	.	PUNCT
fcis-21118	120	1	panet	panet	PROPN
fcis-21118	120	2	is	be	AUX
fcis-21118	120	3	based	base	VERB
fcis-21118	120	4	on	on	ADP
fcis-21118	120	5	the	the	DET
fcis-21118	120	6	idea	idea	NOUN
fcis-21118	120	7	of	of	ADP
fcis-21118	120	8	fpn	fpn	ADJ
fcis-21118	120	9	image	image	NOUN
fcis-21118	120	10	feature	feature	NOUN
fcis-21118	120	11	pyramid	pyramid	NOUN
fcis-21118	120	12	.	.	PUNCT
fcis-21118	121	1	it	it	PRON
fcis-21118	121	2	not	not	PART
fcis-21118	121	3	only	only	ADV
fcis-21118	121	4	performs	perform	VERB
fcis-21118	121	5	feature	feature	NOUN
fcis-21118	121	6	fusion	fusion	NOUN
fcis-21118	121	7	from	from	ADP
fcis-21118	121	8	top	top	NOUN
fcis-21118	121	9	to	to	ADP
fcis-21118	121	10	bottom	bottom	NOUN
fcis-21118	121	11	,	,	PUNCT
fcis-21118	121	12	but	but	CCONJ
fcis-21118	121	13	also	also	ADV
fcis-21118	121	14	increases	increase	VERB
fcis-21118	121	15	feature	feature	NOUN
fcis-21118	121	16	fusion	fusion	NOUN
fcis-21118	121	17	from	from	ADP
fcis-21118	121	18	bottom	bottom	NOUN
fcis-21118	121	19	to	to	ADP
fcis-21118	121	20	top	top	NOUN
fcis-21118	121	21	,	,	PUNCT
fcis-21118	121	22	thereby	thereby	ADV
fcis-21118	121	23	achieving	achieve	VERB
fcis-21118	121	24	the	the	DET
fcis-21118	121	25	purpose	purpose	NOUN
fcis-21118	121	26	of	of	ADP
fcis-21118	121	27	reducing	reduce	VERB
fcis-21118	121	28	information	information	NOUN
fcis-21118	121	29	loss	loss	NOUN
fcis-21118	121	30	and	and	CCONJ
fcis-21118	121	31	achieving	achieve	VERB
fcis-21118	121	32	good	good	ADJ
fcis-21118	121	33	detection	detection	NOUN
fcis-21118	121	34	results	result	NOUN
fcis-21118	121	35	,	,	PUNCT
fcis-21118	121	36	but	but	CCONJ
fcis-21118	121	37	it	it	PRON
fcis-21118	121	38	increases	increase	VERB
fcis-21118	121	39	the	the	DET
fcis-21118	121	40	number	number	NOUN
fcis-21118	121	41	of	of	ADP
fcis-21118	121	42	parameters	parameter	NOUN
fcis-21118	121	43	in	in	ADP
fcis-21118	121	44	network	network	NOUN
fcis-21118	121	45	training	training	NOUN
fcis-21118	121	46	.	.	PUNCT
fcis-21118	121	47	.	.	PUNCT
fcis-21118	122	1	for	for	ADP
fcis-21118	122	2	tunnel	tunnel	NOUN
fcis-21118	122	3	crack	crack	NOUN
fcis-21118	122	4	detection	detection	NOUN
fcis-21118	122	5	,	,	PUNCT
fcis-21118	122	6	since	since	SCONJ
fcis-21118	122	7	the	the	DET
fcis-21118	122	8	target	target	NOUN
fcis-21118	122	9	is	be	AUX
fcis-21118	122	10	small	small	ADJ
fcis-21118	122	11	at	at	ADP
fcis-21118	122	12	a	a	DET
fcis-21118	122	13	certain	certain	ADJ
fcis-21118	122	14	distance	distance	NOUN
fcis-21118	122	15	,	,	PUNCT
fcis-21118	122	16	many	many	ADJ
fcis-21118	122	17	small	small	ADJ
fcis-21118	122	18	target	target	NOUN
fcis-21118	122	19	objects	object	NOUN
fcis-21118	122	20	appear	appear	VERB
fcis-21118	122	21	,	,	PUNCT
fcis-21118	122	22	resulting	result	VERB
fcis-21118	122	23	in	in	ADP
fcis-21118	122	24	low	low	ADJ
fcis-21118	122	25	model	model	NOUN
fcis-21118	122	26	detection	detection	NOUN
fcis-21118	122	27	accuracy	accuracy	NOUN
fcis-21118	122	28	.	.	PUNCT
fcis-21118	123	1	bifpn	bifpn	PROPN
fcis-21118	123	2	enhances	enhance	VERB
fcis-21118	123	3	the	the	DET
fcis-21118	123	4	information	information	NOUN
fcis-21118	123	5	extraction	extraction	NOUN
fcis-21118	123	6	capability	capability	NOUN
fcis-21118	123	7	of	of	ADP
fcis-21118	123	8	the	the	DET
fcis-21118	123	9	network	network	NOUN
fcis-21118	123	10	and	and	CCONJ
fcis-21118	123	11	better	well	ADJ
fcis-21118	123	12	combines	combine	VERB
fcis-21118	123	13	lowlevel	lowlevel	VERB
fcis-21118	123	14	location	location	NOUN
fcis-21118	123	15	information	information	NOUN
fcis-21118	123	16	with	with	ADP
fcis-21118	123	17	high	high	ADJ
fcis-21118	123	18	-	-	PUNCT
fcis-21118	123	19	level	level	NOUN
fcis-21118	123	20	semantic	semantic	ADJ
fcis-21118	123	21	information	information	NOUN
fcis-21118	123	22	,	,	PUNCT
fcis-21118	123	23	thereby	thereby	ADV
fcis-21118	123	24	further	far	ADV
fcis-21118	123	25	improving	improve	VERB
fcis-21118	123	26	the	the	DET
fcis-21118	123	27	network	network	NOUN
fcis-21118	123	28	's	's	PART
fcis-21118	123	29	target	target	NOUN
fcis-21118	123	30	detection	detection	NOUN
fcis-21118	123	31	performance	performance	NOUN
fcis-21118	123	32	.	.	PUNCT
fcis-21118	124	1	the	the	DET
fcis-21118	124	2	panet	panet	ADJ
fcis-21118	124	3	structure	structure	NOUN
fcis-21118	124	4	of	of	ADP
fcis-21118	124	5	the	the	DET
fcis-21118	124	6	original	original	ADJ
fcis-21118	124	7	network	network	NOUN
fcis-21118	124	8	is	be	AUX
fcis-21118	124	9	only	only	ADV
fcis-21118	124	10	stacked	stack	VERB
fcis-21118	124	11	on	on	ADP
fcis-21118	124	12	the	the	DET
fcis-21118	124	13	channel	channel	NOUN
fcis-21118	124	14	,	,	PUNCT
fcis-21118	124	15	while	while	SCONJ
fcis-21118	124	16	bifpn	bifpn	PROPN
fcis-21118	124	17	considers	consider	VERB
fcis-21118	124	18	weight	weight	NOUN
fcis-21118	124	19	information	information	NOUN
fcis-21118	124	20	and	and	CCONJ
fcis-21118	124	21	achieves	achieve	VERB
fcis-21118	124	22	bidirectional	bidirectional	ADJ
fcis-21118	124	23	cross	cross	ADJ
fcis-21118	124	24	-	-	ADJ
fcis-21118	124	25	scale	scale	ADJ
fcis-21118	124	26	feature	feature	NOUN
fcis-21118	124	27	fusion	fusion	NOUN
fcis-21118	124	28	at	at	ADP
fcis-21118	124	29	the	the	DET
fcis-21118	124	30	same	same	ADJ
fcis-21118	124	31	time	time	NOUN
fcis-21118	124	32	.	.	PUNCT
fcis-21118	125	1	it	it	PRON
fcis-21118	125	2	can	can	AUX
fcis-21118	125	3	not	not	PART
fcis-21118	125	4	only	only	ADV
fcis-21118	125	5	improve	improve	VERB
fcis-21118	125	6	the	the	DET
fcis-21118	125	7	detection	detection	NOUN
fcis-21118	125	8	ability	ability	NOUN
fcis-21118	125	9	of	of	ADP
fcis-21118	125	10	the	the	DET
fcis-21118	125	11	detection	detection	NOUN
fcis-21118	125	12	algorithm	algorithm	NOUN
fcis-21118	125	13	for	for	ADP
fcis-21118	125	14	small	small	ADJ
fcis-21118	125	15	targets	target	NOUN
fcis-21118	125	16	,	,	PUNCT
fcis-21118	125	17	but	but	CCONJ
fcis-21118	125	18	also	also	ADV
fcis-21118	125	19	greatly	greatly	ADV
fcis-21118	125	20	reduce	reduce	VERB
fcis-21118	125	21	the	the	DET
fcis-21118	125	22	calculation	calculation	NOUN
fcis-21118	125	23	amount	amount	NOUN
fcis-21118	125	24	126	126	NUM
fcis-21118	125	25	of	of	ADP
fcis-21118	125	26	the	the	DET
fcis-21118	125	27	model	model	NOUN
fcis-21118	125	28	.	.	PUNCT
fcis-21118	126	1	it	it	PRON
fcis-21118	126	2	has	have	VERB
fcis-21118	126	3	great	great	ADJ
fcis-21118	126	4	practical	practical	ADJ
fcis-21118	126	5	significance	significance	NOUN
fcis-21118	126	6	for	for	ADP
fcis-21118	126	7	equipment	equipment	NOUN
fcis-21118	126	8	with	with	ADP
fcis-21118	126	9	low	low	ADJ
fcis-21118	126	10	computing	computing	NOUN
fcis-21118	126	11	power	power	NOUN
fcis-21118	126	12	in	in	ADP
fcis-21118	126	13	industrial	industrial	ADJ
fcis-21118	126	14	fields	field	NOUN
fcis-21118	126	15	,	,	PUNCT
fcis-21118	126	16	actual	actual	ADJ
fcis-21118	126	17	on	on	ADP
fcis-21118	126	18	-	-	PUNCT
fcis-21118	126	19	site	site	NOUN
fcis-21118	126	20	deployment	deployment	NOUN
fcis-21118	126	21	and	and	CCONJ
fcis-21118	126	22	subsequent	subsequent	ADJ
fcis-21118	126	23	model	model	NOUN
fcis-21118	126	24	updates	update	NOUN
fcis-21118	126	25	.	.	PUNCT
fcis-21118	127	1	figure	figure	VERB
fcis-21118	127	2	8	8	NUM
fcis-21118	127	3	.	.	PUNCT
fcis-21118	128	1	figure	figure	NOUN
fcis-21118	128	2	9	9	NUM
fcis-21118	128	3	.	.	NOUN
fcis-21118	128	4	3	3	NUM
fcis-21118	128	5	.	.	X
fcis-21118	128	6	experimental	experimental	ADJ
fcis-21118	128	7	results	result	NOUN
fcis-21118	128	8	and	and	CCONJ
fcis-21118	128	9	analysis	analysis	NOUN
fcis-21118	128	10	3.1	3.1	NUM
fcis-21118	128	11	.	.	PUNCT
fcis-21118	129	1	dataset	dataset	VERB
fcis-21118	129	2	the	the	DET
fcis-21118	129	3	subway	subway	NOUN
fcis-21118	129	4	tunnel	tunnel	NOUN
fcis-21118	129	5	is	be	AUX
fcis-21118	129	6	photographed	photograph	VERB
fcis-21118	129	7	through	through	ADP
fcis-21118	129	8	a	a	DET
fcis-21118	129	9	rail	rail	NOUN
fcis-21118	129	10	car	car	NOUN
fcis-21118	129	11	equipped	equip	VERB
fcis-21118	129	12	with	with	ADP
fcis-21118	129	13	an	an	DET
fcis-21118	129	14	industrial	industrial	ADJ
fcis-21118	129	15	camera	camera	NOUN
fcis-21118	129	16	.	.	PUNCT
fcis-21118	130	1	a	a	DET
fcis-21118	130	2	large	large	ADJ
fcis-21118	130	3	amount	amount	NOUN
fcis-21118	130	4	of	of	ADP
fcis-21118	130	5	data	datum	NOUN
fcis-21118	130	6	was	be	AUX
fcis-21118	130	7	collected	collect	VERB
fcis-21118	130	8	in	in	ADP
fcis-21118	130	9	the	the	DET
fcis-21118	130	10	form	form	NOUN
fcis-21118	130	11	of	of	ADP
fcis-21118	130	12	pictures	picture	NOUN
fcis-21118	130	13	and	and	CCONJ
fcis-21118	130	14	videos	video	NOUN
fcis-21118	130	15	.	.	PUNCT
fcis-21118	131	1	more	more	ADJ
fcis-21118	131	2	than	than	ADP
fcis-21118	131	3	100	100	NUM
fcis-21118	131	4	pictures	picture	NOUN
fcis-21118	131	5	were	be	AUX
fcis-21118	131	6	obtained	obtain	VERB
fcis-21118	131	7	through	through	ADP
fcis-21118	131	8	data	datum	NOUN
fcis-21118	131	9	cleaning	cleaning	NOUN
fcis-21118	131	10	.	.	PUNCT
fcis-21118	132	1	data	datum	NOUN
fcis-21118	132	2	enhancement	enhancement	NOUN
fcis-21118	132	3	and	and	CCONJ
fcis-21118	132	4	other	other	ADJ
fcis-21118	132	5	methods	method	NOUN
fcis-21118	132	6	were	be	AUX
fcis-21118	132	7	expanded	expand	VERB
fcis-21118	132	8	to	to	ADP
fcis-21118	132	9	3,000	3,000	NUM
fcis-21118	132	10	tunnel	tunnel	NOUN
fcis-21118	132	11	crack	crack	NOUN
fcis-21118	132	12	images	image	NOUN
fcis-21118	132	13	for	for	ADP
fcis-21118	132	14	the	the	DET
fcis-21118	132	15	construction	construction	NOUN
fcis-21118	132	16	of	of	ADP
fcis-21118	132	17	the	the	DET
fcis-21118	132	18	data	datum	NOUN
fcis-21118	132	19	set	set	VERB
fcis-21118	132	20	.	.	PUNCT
fcis-21118	133	1	use	use	VERB
fcis-21118	133	2	a	a	DET
fcis-21118	133	3	python	python	NOUN
fcis-21118	133	4	script	script	NOUN
fcis-21118	133	5	file	file	NOUN
fcis-21118	133	6	to	to	PART
fcis-21118	133	7	randomly	randomly	ADV
fcis-21118	133	8	divide	divide	VERB
fcis-21118	133	9	all	all	DET
fcis-21118	133	10	images	image	NOUN
fcis-21118	133	11	into	into	ADP
fcis-21118	133	12	training	training	NOUN
fcis-21118	133	13	sets	set	NOUN
fcis-21118	133	14	,	,	PUNCT
fcis-21118	133	15	verification	verification	NOUN
fcis-21118	133	16	sets	set	NOUN
fcis-21118	133	17	,	,	PUNCT
fcis-21118	133	18	and	and	CCONJ
fcis-21118	133	19	test	test	NOUN
fcis-21118	133	20	sets	set	NOUN
fcis-21118	133	21	in	in	ADP
fcis-21118	133	22	proportions	proportion	NOUN
fcis-21118	133	23	of	of	ADP
fcis-21118	133	24	70	70	NUM
fcis-21118	133	25	%	%	NOUN
fcis-21118	133	26	,	,	PUNCT
fcis-21118	133	27	20	20	NUM
fcis-21118	133	28	%	%	NOUN
fcis-21118	133	29	,	,	PUNCT
fcis-21118	133	30	and	and	CCONJ
fcis-21118	133	31	10	10	NUM
fcis-21118	133	32	%	%	NOUN
fcis-21118	133	33	.	.	PUNCT
fcis-21118	134	1	some	some	DET
fcis-21118	134	2	example	example	NOUN
fcis-21118	134	3	data	data	NOUN
fcis-21118	134	4	sets	set	NOUN
fcis-21118	134	5	are	be	AUX
fcis-21118	134	6	shown	show	VERB
fcis-21118	134	7	in	in	ADP
fcis-21118	134	8	figure10	figure10	NOUN
fcis-21118	134	9	.	.	PUNCT
fcis-21118	135	1	figure	figure	NOUN
fcis-21118	135	2	10	10	NUM
fcis-21118	135	3	.	.	PUNCT
fcis-21118	136	1	data	datum	NOUN
fcis-21118	136	2	set	set	VERB
fcis-21118	136	3	3.2	3.2	NUM
fcis-21118	136	4	.	.	PUNCT
fcis-21118	137	1	training	training	NOUN
fcis-21118	137	2	parameter	parameter	NOUN
fcis-21118	137	3	settings	setting	NOUN
fcis-21118	137	4	this	this	DET
fcis-21118	137	5	section	section	NOUN
fcis-21118	137	6	details	detail	VERB
fcis-21118	137	7	the	the	DET
fcis-21118	137	8	establishment	establishment	NOUN
fcis-21118	137	9	of	of	ADP
fcis-21118	137	10	the	the	DET
fcis-21118	137	11	data	datum	NOUN
fcis-21118	137	12	set	set	VERB
fcis-21118	137	13	and	and	CCONJ
fcis-21118	137	14	the	the	DET
fcis-21118	137	15	selection	selection	NOUN
fcis-21118	137	16	of	of	ADP
fcis-21118	137	17	specific	specific	ADJ
fcis-21118	137	18	hyperparameters	hyperparameter	NOUN
fcis-21118	137	19	in	in	ADP
fcis-21118	137	20	network	network	NOUN
fcis-21118	137	21	training	training	NOUN
fcis-21118	137	22	.	.	PUNCT
fcis-21118	138	1	the	the	DET
fcis-21118	138	2	training	training	NOUN
fcis-21118	138	3	and	and	CCONJ
fcis-21118	138	4	testing	testing	NOUN
fcis-21118	138	5	tasks	task	NOUN
fcis-21118	138	6	mentioned	mention	VERB
fcis-21118	138	7	in	in	ADP
fcis-21118	138	8	this	this	DET
fcis-21118	138	9	article	article	NOUN
fcis-21118	138	10	are	be	AUX
fcis-21118	138	11	using	use	VERB
fcis-21118	138	12	anaconda+	anaconda+	ADJ
fcis-21118	138	13	cuda11.4	cuda11.4	PROPN
fcis-21118	138	14	+	+	CCONJ
fcis-21118	138	15	cudnn11.4	cudnn11.4	NOUN
fcis-21118	138	16	+	+	X
fcis-21118	138	17	pytorch1	pytorch1	NOUN
fcis-21118	138	18	.	.	PROPN
fcis-21118	139	1	11	11	NUM
fcis-21118	139	2	on	on	ADP
fcis-21118	139	3	the	the	DET
fcis-21118	139	4	computer	computer	NOUN
fcis-21118	139	5	.	.	PUNCT
fcis-21118	140	1	gpu	gpu	PROPN
fcis-21118	140	2	(	(	PUNCT
fcis-21118	140	3	nvidia	nvidia	PROPN
fcis-21118	140	4	rtx3080ti	rtx3080ti	NOUN
fcis-21118	140	5	12	12	NUM
fcis-21118	140	6	gb	gb	NOUN
fcis-21118	140	7	)	)	PUNCT
fcis-21118	140	8	completed	complete	VERB
fcis-21118	140	9	,	,	PUNCT
fcis-21118	140	10	for	for	ADP
fcis-21118	140	11	the	the	DET
fcis-21118	140	12	training	training	NOUN
fcis-21118	140	13	model	model	NOUN
fcis-21118	140	14	,	,	PUNCT
fcis-21118	140	15	the	the	DET
fcis-21118	140	16	training	training	NOUN
fcis-21118	140	17	period	period	NOUN
fcis-21118	140	18	(	(	PUNCT
fcis-21118	140	19	epochs	epoch	NOUN
fcis-21118	140	20	)	)	PUNCT
fcis-21118	140	21	is	be	AUX
fcis-21118	140	22	300	300	NUM
fcis-21118	140	23	,	,	PUNCT
fcis-21118	140	24	the	the	DET
fcis-21118	140	25	mini	mini	ADJ
fcis-21118	140	26	-	-	NOUN
fcis-21118	140	27	batch	batch	NOUN
fcis-21118	140	28	processing	processing	NOUN
fcis-21118	140	29	(	(	PUNCT
fcis-21118	140	30	batchsize	batchsize	NOUN
fcis-21118	140	31	)	)	PUNCT
fcis-21118	140	32	size	size	NOUN
fcis-21118	140	33	is	be	AUX
fcis-21118	140	34	4	4	NUM
fcis-21118	140	35	,	,	PUNCT
fcis-21118	140	36	we	we	PRON
fcis-21118	140	37	used	use	VERB
fcis-21118	140	38	adam	adam	PROPN
fcis-21118	140	39	with	with	ADP
fcis-21118	140	40	a	a	DET
fcis-21118	140	41	momentum	momentum	NOUN
fcis-21118	140	42	of	of	ADP
fcis-21118	140	43	0.937	0.937	NUM
fcis-21118	140	44	,	,	PUNCT
fcis-21118	140	45	3.3	3.3	NUM
fcis-21118	140	46	.	.	PUNCT
fcis-21118	141	1	evaluation	evaluation	NOUN
fcis-21118	141	2	indicators	indicator	NOUN
fcis-21118	141	3	when	when	SCONJ
fcis-21118	141	4	testing	test	VERB
fcis-21118	141	5	the	the	DET
fcis-21118	141	6	model	model	NOUN
fcis-21118	141	7	,	,	PUNCT
fcis-21118	141	8	to	to	PART
fcis-21118	141	9	evaluate	evaluate	VERB
fcis-21118	141	10	the	the	DET
fcis-21118	141	11	test	test	NOUN
fcis-21118	141	12	results	result	NOUN
fcis-21118	141	13	,	,	PUNCT
fcis-21118	141	14	select	select	ADJ
fcis-21118	141	15	indicators	indicator	NOUN
fcis-21118	141	16	such	such	ADJ
fcis-21118	141	17	as	as	ADP
fcis-21118	141	18	precision	precision	NOUN
fcis-21118	141	19	(	(	PUNCT
fcis-21118	141	20	p	p	NOUN
fcis-21118	141	21	)	)	PUNCT
fcis-21118	141	22	,	,	PUNCT
fcis-21118	141	23	recall	recall	INTJ
fcis-21118	141	24	(	(	PUNCT
fcis-21118	141	25	r	r	NOUN
fcis-21118	141	26	)	)	PUNCT
fcis-21118	141	27	,	,	PUNCT
fcis-21118	141	28	and	and	CCONJ
fcis-21118	141	29	average	average	ADJ
fcis-21118	141	30	precision	precision	NOUN
fcis-21118	141	31	(	(	PUNCT
fcis-21118	141	32	map	map	NOUN
fcis-21118	141	33	)	)	PUNCT
fcis-21118	141	34	.	.	PUNCT
fcis-21118	142	1	for	for	ADP
fcis-21118	142	2	tunnel	tunnel	NOUN
fcis-21118	142	3	crack	crack	NOUN
fcis-21118	142	4	detection	detection	NOUN
fcis-21118	142	5	,	,	PUNCT
fcis-21118	142	6	by	by	ADP
fcis-21118	142	7	grasping	grasp	VERB
fcis-21118	142	8	the	the	DET
fcis-21118	142	9	existence	existence	NOUN
fcis-21118	142	10	of	of	ADP
fcis-21118	142	11	a	a	DET
fcis-21118	142	12	specific	specific	ADJ
fcis-21118	142	13	tunnel	tunnel	NOUN
fcis-21118	142	14	,	,	PUNCT
fcis-21118	142	15	the	the	DET
fcis-21118	142	16	safety	safety	NOUN
fcis-21118	142	17	of	of	ADP
fcis-21118	142	18	the	the	DET
fcis-21118	142	19	tunnel	tunnel	NOUN
fcis-21118	142	20	is	be	AUX
fcis-21118	142	21	evaluated	evaluate	VERB
fcis-21118	142	22	from	from	ADP
fcis-21118	142	23	the	the	DET
fcis-21118	142	24	number	number	NOUN
fcis-21118	142	25	,	,	PUNCT
fcis-21118	142	26	location	location	NOUN
fcis-21118	142	27	,	,	PUNCT
fcis-21118	142	28	and	and	CCONJ
fcis-21118	142	29	severity	severity	NOUN
fcis-21118	142	30	of	of	ADP
fcis-21118	142	31	cracks	crack	NOUN
fcis-21118	142	32	.	.	PUNCT
fcis-21118	143	1	regarding	regard	VERB
fcis-21118	143	2	the	the	DET
fcis-21118	143	3	output	output	NOUN
fcis-21118	143	4	results	result	NOUN
fcis-21118	143	5	of	of	ADP
fcis-21118	143	6	the	the	DET
fcis-21118	143	7	target	target	NOUN
fcis-21118	143	8	detection	detection	NOUN
fcis-21118	143	9	model	model	NOUN
fcis-21118	143	10	,	,	PUNCT
fcis-21118	143	11	low	low	ADJ
fcis-21118	143	12	false	false	ADJ
fcis-21118	143	13	detection	detection	NOUN
fcis-21118	143	14	and	and	CCONJ
fcis-21118	143	15	low	low	ADJ
fcis-21118	143	16	leakage	leakage	NOUN
fcis-21118	143	17	detection	detection	NOUN
fcis-21118	143	18	are	be	AUX
fcis-21118	143	19	more	more	ADV
fcis-21118	143	20	conducive	conducive	ADJ
fcis-21118	143	21	to	to	PART
fcis-21118	143	22	tunnel	tunnel	NOUN
fcis-21118	143	23	disease	disease	NOUN
fcis-21118	143	24	detection	detection	NOUN
fcis-21118	143	25	,	,	PUNCT
fcis-21118	143	26	so	so	ADV
fcis-21118	143	27	focus	focus	VERB
fcis-21118	143	28	on	on	ADP
fcis-21118	143	29	the	the	DET
fcis-21118	143	30	accuracy	accuracy	NOUN
fcis-21118	143	31	and	and	CCONJ
fcis-21118	143	32	recall	recall	NOUN
fcis-21118	143	33	rate	rate	NOUN
fcis-21118	143	34	of	of	ADP
fcis-21118	143	35	the	the	DET
fcis-21118	143	36	test	test	NOUN
fcis-21118	143	37	model	model	NOUN
fcis-21118	143	38	.	.	PUNCT
fcis-21118	144	1	where	where	SCONJ
fcis-21118	144	2	accuracy	accuracy	NOUN
fcis-21118	144	3	refers	refer	VERB
fcis-21118	144	4	to	to	ADP
fcis-21118	144	5	the	the	DET
fcis-21118	144	6	number	number	NOUN
fcis-21118	144	7	of	of	ADP
fcis-21118	144	8	correctly	correctly	ADV
fcis-21118	144	9	detected	detect	VERB
fcis-21118	144	10	samples	sample	NOUN
fcis-21118	144	11	for	for	ADP
fcis-21118	144	12	a	a	DET
fcis-21118	144	13	class	class	NOUN
fcis-21118	144	14	,	,	PUNCT
fcis-21118	144	15	accounting	account	VERB
fcis-21118	144	16	for	for	ADP
fcis-21118	144	17	the	the	DET
fcis-21118	144	18	ratio	ratio	NOUN
fcis-21118	144	19	of	of	ADP
fcis-21118	144	20	all	all	DET
fcis-21118	144	21	predictions	prediction	NOUN
fcis-21118	144	22	of	of	ADP
fcis-21118	144	23	other	other	ADJ
fcis-21118	144	24	examples	example	NOUN
fcis-21118	144	25	of	of	ADP
fcis-21118	144	26	that	that	DET
fcis-21118	144	27	class	class	NOUN
fcis-21118	144	28	.	.	PUNCT
fcis-21118	145	1	based	base	VERB
fcis-21118	145	2	on	on	ADP
fcis-21118	145	3	the	the	DET
fcis-21118	145	4	accuracy	accuracy	NOUN
fcis-21118	145	5	,	,	PUNCT
fcis-21118	145	6	the	the	DET
fcis-21118	145	7	error	error	NOUN
fcis-21118	145	8	of	of	ADP
fcis-21118	145	9	the	the	DET
fcis-21118	145	10	model	model	NOUN
fcis-21118	145	11	can	can	AUX
fcis-21118	145	12	be	be	AUX
fcis-21118	145	13	judged	judge	VERB
fcis-21118	145	14	.	.	PUNCT
fcis-21118	146	1	the	the	PRON
fcis-21118	146	2	greater	great	ADJ
fcis-21118	146	3	the	the	DET
fcis-21118	146	4	detection	detection	NOUN
fcis-21118	146	5	level	level	NOUN
fcis-21118	146	6	,	,	PUNCT
fcis-21118	146	7	the	the	PRON
fcis-21118	146	8	higher	high	ADJ
fcis-21118	146	9	the	the	DET
fcis-21118	146	10	accuracy	accuracy	NOUN
fcis-21118	146	11	and	and	CCONJ
fcis-21118	146	12	the	the	DET
fcis-21118	146	13	smaller	small	ADJ
fcis-21118	146	14	the	the	DET
fcis-21118	146	15	false	false	ADJ
fcis-21118	146	16	alarm	alarm	NOUN
fcis-21118	146	17	rate	rate	NOUN
fcis-21118	146	18	.	.	PUNCT
fcis-21118	147	1	the	the	DET
fcis-21118	147	2	recall	recall	NOUN
fcis-21118	147	3	rate	rate	NOUN
fcis-21118	147	4	refers	refer	VERB
fcis-21118	147	5	to	to	ADP
fcis-21118	147	6	a	a	DET
fcis-21118	147	7	certain	certain	ADJ
fcis-21118	147	8	ratio	ratio	NOUN
fcis-21118	147	9	of	of	ADP
fcis-21118	147	10	the	the	DET
fcis-21118	147	11	number	number	NOUN
fcis-21118	147	12	of	of	ADP
fcis-21118	147	13	correctly	correctly	ADV
fcis-21118	147	14	detected	detect	VERB
fcis-21118	147	15	samples	sample	NOUN
fcis-21118	147	16	to	to	ADP
fcis-21118	147	17	the	the	DET
fcis-21118	147	18	actual	actual	ADJ
fcis-21118	147	19	number	number	NOUN
fcis-21118	147	20	of	of	ADP
fcis-21118	147	21	samples	sample	NOUN
fcis-21118	147	22	in	in	ADP
fcis-21118	147	23	the	the	DET
fcis-21118	147	24	category	category	NOUN
fcis-21118	147	25	.	.	PUNCT
fcis-21118	148	1	based	base	VERB
fcis-21118	148	2	on	on	ADP
fcis-21118	148	3	the	the	DET
fcis-21118	148	4	recall	recall	NOUN
fcis-21118	148	5	rate	rate	NOUN
fcis-21118	148	6	,	,	PUNCT
fcis-21118	148	7	the	the	DET
fcis-21118	148	8	degree	degree	NOUN
fcis-21118	148	9	of	of	ADP
fcis-21118	148	10	missed	miss	VERB
fcis-21118	148	11	detection	detection	NOUN
fcis-21118	148	12	of	of	ADP
fcis-21118	148	13	the	the	DET
fcis-21118	148	14	model	model	NOUN
fcis-21118	148	15	can	can	AUX
fcis-21118	148	16	be	be	AUX
fcis-21118	148	17	judged	judge	VERB
fcis-21118	148	18	.	.	PUNCT
fcis-21118	149	1	the	the	PRON
fcis-21118	149	2	greater	great	ADJ
fcis-21118	149	3	the	the	DET
fcis-21118	149	4	recall	recall	NOUN
fcis-21118	149	5	rate	rate	NOUN
fcis-21118	149	6	,	,	PUNCT
fcis-21118	149	7	the	the	PRON
fcis-21118	149	8	smaller	small	ADJ
fcis-21118	149	9	the	the	DET
fcis-21118	149	10	number	number	NOUN
fcis-21118	149	11	of	of	ADP
fcis-21118	149	12	missed	miss	VERB
fcis-21118	149	13	detections	detection	NOUN
fcis-21118	149	14	.	.	PUNCT
fcis-21118	150	1	map	map	NOUN
fcis-21118	150	2	is	be	AUX
fcis-21118	150	3	a	a	DET
fcis-21118	150	4	commonly	commonly	ADV
fcis-21118	150	5	used	use	VERB
fcis-21118	150	6	127	127	NUM
fcis-21118	150	7	indicator	indicator	NOUN
fcis-21118	150	8	to	to	PART
fcis-21118	150	9	evaluate	evaluate	VERB
fcis-21118	150	10	modeling	modeling	NOUN
fcis-21118	150	11	capabilities	capability	NOUN
fcis-21118	150	12	,	,	PUNCT
fcis-21118	150	13	which	which	PRON
fcis-21118	150	14	can	can	AUX
fcis-21118	150	15	be	be	AUX
fcis-21118	150	16	good	good	ADJ
fcis-21118	150	17	or	or	CCONJ
fcis-21118	150	18	bad	bad	ADJ
fcis-21118	150	19	.	.	PUNCT
fcis-21118	151	1	adding	add	VERB
fcis-21118	151	2	the	the	DET
fcis-21118	151	3	map	map	NOUN
fcis-21118	151	4	evaluation	evaluation	NOUN
fcis-21118	151	5	indicator	indicator	NOUN
fcis-21118	151	6	to	to	ADP
fcis-21118	151	7	the	the	DET
fcis-21118	151	8	model	model	NOUN
fcis-21118	151	9	improves	improve	VERB
fcis-21118	151	10	the	the	DET
fcis-21118	151	11	evaluation	evaluation	NOUN
fcis-21118	151	12	system	system	NOUN
fcis-21118	151	13	and	and	CCONJ
fcis-21118	151	14	makes	make	VERB
fcis-21118	151	15	the	the	DET
fcis-21118	151	16	results	result	NOUN
fcis-21118	151	17	more	more	ADV
fcis-21118	151	18	comprehensive	comprehensive	ADJ
fcis-21118	151	19	and	and	CCONJ
fcis-21118	151	20	accurate	accurate	ADJ
fcis-21118	151	21	.	.	PUNCT
fcis-21118	152	1	3.4	3.4	NUM
fcis-21118	152	2	.	.	PUNCT
fcis-21118	152	3	results	result	NOUN
fcis-21118	152	4	and	and	CCONJ
fcis-21118	152	5	analysis	analysis	NOUN
fcis-21118	152	6	3.4.1	3.4.1	NUM
fcis-21118	152	7	.	.	PUNCT
fcis-21118	153	1	parameter	parameter	PROPN
fcis-21118	153	2	comparison	comparison	NOUN
fcis-21118	153	3	this	this	DET
fcis-21118	153	4	article	article	NOUN
fcis-21118	153	5	uses	use	VERB
fcis-21118	153	6	the	the	DET
fcis-21118	153	7	ghost	ghost	NOUN
fcis-21118	153	8	module	module	NOUN
fcis-21118	153	9	to	to	PART
fcis-21118	153	10	reduce	reduce	VERB
fcis-21118	153	11	the	the	DET
fcis-21118	153	12	number	number	NOUN
fcis-21118	153	13	of	of	ADP
fcis-21118	153	14	parameters	parameter	NOUN
fcis-21118	153	15	,	,	PUNCT
fcis-21118	153	16	optimize	optimize	VERB
fcis-21118	153	17	the	the	DET
fcis-21118	153	18	model	model	NOUN
fcis-21118	153	19	,	,	PUNCT
fcis-21118	153	20	and	and	CCONJ
fcis-21118	153	21	achieve	achieve	VERB
fcis-21118	153	22	the	the	DET
fcis-21118	153	23	purpose	purpose	NOUN
fcis-21118	153	24	of	of	ADP
fcis-21118	153	25	speeding	speed	VERB
fcis-21118	153	26	up	up	ADP
fcis-21118	153	27	.	.	PUNCT
fcis-21118	154	1	it	it	PRON
fcis-21118	154	2	can	can	AUX
fcis-21118	154	3	be	be	AUX
fcis-21118	154	4	seen	see	VERB
fcis-21118	154	5	from	from	ADP
fcis-21118	154	6	the	the	DET
fcis-21118	154	7	comparison	comparison	NOUN
fcis-21118	154	8	of	of	ADP
fcis-21118	154	9	the	the	DET
fcis-21118	154	10	number	number	NOUN
fcis-21118	154	11	of	of	ADP
fcis-21118	154	12	parameters	parameter	NOUN
fcis-21118	154	13	above	above	ADP
fcis-21118	154	14	that	that	SCONJ
fcis-21118	154	15	the	the	DET
fcis-21118	154	16	yolov5s	yolov5s	PROPN
fcis-21118	154	17	network	network	NOUN
fcis-21118	154	18	using	use	VERB
fcis-21118	154	19	the	the	DET
fcis-21118	154	20	ghost	ghost	NOUN
fcis-21118	154	21	module	module	NOUN
fcis-21118	154	22	has	have	AUX
fcis-21118	154	23	dropped	drop	VERB
fcis-21118	154	24	by	by	ADP
fcis-21118	154	25	about	about	ADV
fcis-21118	154	26	21.2	21.2	NUM
fcis-21118	154	27	percentage	percentage	NOUN
fcis-21118	154	28	points	point	NOUN
fcis-21118	154	29	in	in	ADP
fcis-21118	154	30	the	the	DET
fcis-21118	154	31	number	number	NOUN
fcis-21118	154	32	of	of	ADP
fcis-21118	154	33	parameters	parameter	NOUN
fcis-21118	154	34	,	,	PUNCT
fcis-21118	154	35	flops	flop	NOUN
fcis-21118	154	36	has	have	AUX
fcis-21118	154	37	also	also	ADV
fcis-21118	154	38	dropped	drop	VERB
fcis-21118	154	39	,	,	PUNCT
fcis-21118	154	40	the	the	DET
fcis-21118	154	41	detection	detection	NOUN
fcis-21118	154	42	accuracy	accuracy	NOUN
fcis-21118	154	43	has	have	AUX
fcis-21118	154	44	increased	increase	VERB
fcis-21118	154	45	by	by	ADP
fcis-21118	154	46	3.2	3.2	NUM
fcis-21118	154	47	percentage	percentage	NOUN
fcis-21118	154	48	points	point	NOUN
fcis-21118	154	49	,	,	PUNCT
fcis-21118	154	50	and	and	CCONJ
fcis-21118	154	51	the	the	DET
fcis-21118	154	52	number	number	NOUN
fcis-21118	154	53	of	of	ADP
fcis-21118	154	54	parameters	parameter	NOUN
fcis-21118	154	55	and	and	CCONJ
fcis-21118	154	56	flops	flop	NOUN
fcis-21118	154	57	have	have	AUX
fcis-21118	154	58	remained	remain	VERB
fcis-21118	154	59	low	low	ADJ
fcis-21118	154	60	.	.	PUNCT
fcis-21118	155	1	level	level	NOUN
fcis-21118	155	2	,	,	PUNCT
fcis-21118	155	3	although	although	SCONJ
fcis-21118	155	4	the	the	DET
fcis-21118	155	5	accuracy	accuracy	NOUN
fcis-21118	155	6	of	of	ADP
fcis-21118	155	7	yolov5x	yolov5x	PROPN
fcis-21118	155	8	is	be	AUX
fcis-21118	155	9	slightly	slightly	ADV
fcis-21118	155	10	higher	high	ADJ
fcis-21118	155	11	than	than	ADP
fcis-21118	155	12	the	the	DET
fcis-21118	155	13	model	model	NOUN
fcis-21118	155	14	in	in	ADP
fcis-21118	155	15	this	this	DET
fcis-21118	155	16	article	article	NOUN
fcis-21118	155	17	by	by	ADP
fcis-21118	155	18	1	1	NUM
fcis-21118	155	19	%	%	NOUN
fcis-21118	155	20	,	,	PUNCT
fcis-21118	155	21	its	its	PRON
fcis-21118	155	22	inference	inference	NOUN
fcis-21118	155	23	time	time	NOUN
fcis-21118	155	24	and	and	CCONJ
fcis-21118	155	25	model	model	NOUN
fcis-21118	155	26	weight	weight	NOUN
fcis-21118	155	27	are	be	AUX
fcis-21118	155	28	too	too	ADV
fcis-21118	155	29	large	large	ADJ
fcis-21118	155	30	,	,	PUNCT
fcis-21118	155	31	making	make	VERB
fcis-21118	155	32	it	it	PRON
fcis-21118	155	33	unsuitable	unsuitable	ADJ
fcis-21118	155	34	for	for	ADP
fcis-21118	155	35	actual	actual	ADJ
fcis-21118	155	36	use	use	NOUN
fcis-21118	155	37	.	.	PUNCT
fcis-21118	156	1	therefore	therefore	ADV
fcis-21118	156	2	,	,	PUNCT
fcis-21118	156	3	the	the	DET
fcis-21118	156	4	proposed	propose	VERB
fcis-21118	156	5	method	method	NOUN
fcis-21118	156	6	can	can	AUX
fcis-21118	156	7	make	make	VERB
fcis-21118	156	8	the	the	DET
fcis-21118	156	9	network	network	NOUN
fcis-21118	156	10	more	more	ADV
fcis-21118	156	11	lightweight	lightweight	ADJ
fcis-21118	156	12	without	without	ADP
fcis-21118	156	13	affecting	affect	VERB
fcis-21118	156	14	the	the	DET
fcis-21118	156	15	detection	detection	NOUN
fcis-21118	156	16	accuracy	accuracy	NOUN
fcis-21118	156	17	.	.	PUNCT
fcis-21118	157	1	table	table	NOUN
fcis-21118	157	2	1	1	NUM
fcis-21118	157	3	.	.	PUNCT
fcis-21118	157	4	comparison	comparison	NOUN
fcis-21118	157	5	table	table	NOUN
fcis-21118	157	6	of	of	ADP
fcis-21118	157	7	model	model	NOUN
fcis-21118	157	8	parameters	parameter	NOUN
fcis-21118	157	9	model	model	PROPN
fcis-21118	157	10	parameter	parameter	PROPN
fcis-21118	157	11	quantity(m	quantity(m	PROPN
fcis-21118	157	12	)	)	PUNCT
fcis-21118	157	13	flops	flop	NOUN
fcis-21118	157	14	(	(	PUNCT
fcis-21118	157	15	g	g	NOUN
fcis-21118	157	16	)	)	PUNCT
fcis-21118	157	17	(	(	PUNCT
fcis-21118	157	18	%	%	INTJ
fcis-21118	157	19	)	)	PUNCT
fcis-21118	157	20	yolov5x	yolov5x	PROPN
fcis-21118	158	1	86.72	86.72	NUM
fcis-21118	158	2	205.7	205.7	NUM
fcis-21118	158	3	93.5	93.5	NUM
fcis-21118	158	4	yolov5l	yolov5l	PROPN
fcis-21118	158	5	46.55	46.55	NUM
fcis-21118	158	6	109.2	109.2	NUM
fcis-21118	158	7	93.1	93.1	NUM
fcis-21118	158	8	yolov5	yolov5	NOUN
fcis-21118	158	9	m	m	VERB
fcis-21118	158	10	21.19	21.19	NUM
fcis-21118	158	11	48.8	48.8	NUM
fcis-21118	158	12	92.9	92.9	NUM
fcis-21118	158	13	yolov5s	yolov5s	NOUN
fcis-21118	158	14	7.18	7.18	NUM
fcis-21118	158	15	16.5	16.5	NUM
fcis-21118	158	16	89.3	89.3	NUM
fcis-21118	158	17	yolov5s+ghost	yolov5s+ghost	ADJ
fcis-21118	158	18	5.97	5.97	NUM
fcis-21118	158	19	14.4	14.4	NUM
fcis-21118	158	20	92.5	92.5	NUM
fcis-21118	158	21	3.4.2	3.4.2	NUM
fcis-21118	158	22	.	.	PUNCT
fcis-21118	159	1	ablation	ablation	NOUN
fcis-21118	159	2	experiment	experiment	NOUN
fcis-21118	159	3	(	(	PUNCT
fcis-21118	159	4	a	a	NOUN
fcis-21118	159	5	)	)	PUNCT
fcis-21118	159	6	(	(	PUNCT
fcis-21118	159	7	b	b	X
fcis-21118	159	8	)	)	PUNCT
fcis-21118	159	9	(	(	PUNCT
fcis-21118	159	10	c	c	X
fcis-21118	159	11	)	)	PUNCT
fcis-21118	159	12	(	(	PUNCT
fcis-21118	159	13	d	d	X
fcis-21118	159	14	)	)	PUNCT
fcis-21118	159	15	figure	figure	NOUN
fcis-21118	159	16	11	11	NUM
fcis-21118	159	17	.	.	PUNCT
fcis-21118	160	1	sd	sd	NOUN
fcis-21118	160	2	-	-	PUNCT
fcis-21118	160	3	yolo	yolo	ADJ
fcis-21118	160	4	renderings	rendering	NOUN
fcis-21118	160	5	all	all	DET
fcis-21118	160	6	models	model	NOUN
fcis-21118	160	7	are	be	AUX
fcis-21118	160	8	tested	test	VERB
fcis-21118	160	9	on	on	ADP
fcis-21118	160	10	the	the	DET
fcis-21118	160	11	test	test	NOUN
fcis-21118	160	12	set	set	VERB
fcis-21118	160	13	to	to	PART
fcis-21118	160	14	check	check	VERB
fcis-21118	160	15	the	the	DET
fcis-21118	160	16	performance	performance	NOUN
fcis-21118	160	17	of	of	ADP
fcis-21118	160	18	the	the	DET
fcis-21118	160	19	models	model	NOUN
fcis-21118	160	20	trained	train	VERB
fcis-21118	160	21	in	in	ADP
fcis-21118	160	22	the	the	DET
fcis-21118	160	23	previous	previous	ADJ
fcis-21118	160	24	section	section	NOUN
fcis-21118	160	25	.	.	PUNCT
fcis-21118	161	1	the	the	DET
fcis-21118	161	2	test	test	NOUN
fcis-21118	161	3	results	result	NOUN
fcis-21118	161	4	are	be	AUX
fcis-21118	161	5	shown	show	VERB
fcis-21118	161	6	in	in	ADP
fcis-21118	161	7	figure	figure	NOUN
fcis-21118	161	8	11	11	NUM
fcis-21118	161	9	.	.	PUNCT
fcis-21118	162	1	as	as	SCONJ
fcis-21118	162	2	can	can	AUX
fcis-21118	162	3	be	be	AUX
fcis-21118	162	4	seen	see	VERB
fcis-21118	162	5	from	from	ADP
fcis-21118	162	6	figure	figure	NOUN
fcis-21118	162	7	12	12	NUM
fcis-21118	162	8	,	,	PUNCT
fcis-21118	162	9	all	all	DET
fcis-21118	162	10	models	model	NOUN
fcis-21118	162	11	perform	perform	VERB
fcis-21118	162	12	better	well	ADV
fcis-21118	162	13	than	than	ADP
fcis-21118	162	14	yolov5s	yolov5s	PROPN
fcis-21118	162	15	.	.	PUNCT
fcis-21118	163	1	at	at	ADP
fcis-21118	163	2	the	the	DET
fcis-21118	163	3	same	same	ADJ
fcis-21118	163	4	time	time	NOUN
fcis-21118	163	5	,	,	PUNCT
fcis-21118	163	6	comparing	compare	VERB
fcis-21118	163	7	yolov5s	yolov5s	PROPN
fcis-21118	163	8	with	with	ADP
fcis-21118	163	9	the	the	DET
fcis-21118	163	10	detection	detection	NOUN
fcis-21118	163	11	method	method	NOUN
fcis-21118	163	12	adding	add	VERB
fcis-21118	163	13	ghost	ghost	NOUN
fcis-21118	163	14	module	module	NOUN
fcis-21118	163	15	,	,	PUNCT
fcis-21118	163	16	map	map	NOUN
fcis-21118	163	17	increased	increase	VERB
fcis-21118	163	18	by	by	ADP
fcis-21118	163	19	2.2	2.2	NUM
fcis-21118	163	20	%	%	NOUN
fcis-21118	163	21	.	.	PUNCT
fcis-21118	164	1	the	the	DET
fcis-21118	164	2	model	model	NOUN
fcis-21118	164	3	adding	add	VERB
fcis-21118	164	4	the	the	DET
fcis-21118	164	5	ghost	ghost	NOUN
fcis-21118	164	6	module	module	NOUN
fcis-21118	164	7	has	have	VERB
fcis-21118	164	8	advantages	advantage	NOUN
fcis-21118	164	9	in	in	ADP
fcis-21118	164	10	detection	detection	NOUN
fcis-21118	164	11	accuracy	accuracy	NOUN
fcis-21118	164	12	.	.	PUNCT
fcis-21118	165	1	comparing	compare	VERB
fcis-21118	165	2	the	the	DET
fcis-21118	165	3	results	result	NOUN
fcis-21118	165	4	of	of	ADP
fcis-21118	165	5	yolov5s	yolov5s	PROPN
fcis-21118	165	6	and	and	CCONJ
fcis-21118	165	7	adding	add	VERB
fcis-21118	165	8	the	the	DET
fcis-21118	165	9	cbam	cbam	NOUN
fcis-21118	165	10	module	module	NOUN
fcis-21118	165	11	and	and	CCONJ
fcis-21118	165	12	bifpn	bifpn	PROPN
fcis-21118	165	13	detection	detection	NOUN
fcis-21118	165	14	method	method	NOUN
fcis-21118	165	15	based	base	VERB
fcis-21118	165	16	on	on	ADP
fcis-21118	165	17	the	the	DET
fcis-21118	165	18	ghost	ghost	NOUN
fcis-21118	165	19	module	module	NOUN
fcis-21118	165	20	,	,	PUNCT
fcis-21118	165	21	the	the	DET
fcis-21118	165	22	map	map	NOUN
fcis-21118	165	23	increased	increase	VERB
fcis-21118	165	24	by	by	ADP
fcis-21118	165	25	0.6	0.6	NUM
fcis-21118	165	26	%	%	NOUN
fcis-21118	165	27	and	and	CCONJ
fcis-21118	165	28	5.5	5.5	NUM
fcis-21118	165	29	%	%	NOUN
fcis-21118	165	30	respectively	respectively	ADV
fcis-21118	165	31	.	.	PUNCT
fcis-21118	166	1	adding	add	VERB
fcis-21118	166	2	bifpn	bifpn	PROPN
fcis-21118	166	3	significantly	significantly	ADV
fcis-21118	166	4	improves	improve	VERB
fcis-21118	166	5	detection	detection	NOUN
fcis-21118	166	6	accuracy	accuracy	NOUN
fcis-21118	166	7	.	.	PUNCT
fcis-21118	167	1	among	among	ADP
fcis-21118	167	2	them	they	PRON
fcis-21118	167	3	,	,	PUNCT
fcis-21118	167	4	the	the	DET
fcis-21118	167	5	sd	sd	NOUN
fcis-21118	167	6	-	-	PUNCT
fcis-21118	167	7	yolo	yolo	ADJ
fcis-21118	167	8	model	model	NOUN
fcis-21118	167	9	performs	perform	VERB
fcis-21118	167	10	best	good	ADJ
fcis-21118	167	11	.	.	PUNCT
fcis-21118	168	1	compared	compare	VERB
fcis-21118	168	2	with	with	ADP
fcis-21118	168	3	yolov5s	yolov5s	PROPN
fcis-21118	168	4	,	,	PUNCT
fcis-21118	168	5	the	the	DET
fcis-21118	168	6	map	map	NOUN
fcis-21118	168	7	of	of	ADP
fcis-21118	168	8	the	the	DET
fcis-21118	168	9	sd	sd	NOUN
fcis-21118	168	10	-	-	PUNCT
fcis-21118	168	11	yolo	yolo	ADJ
fcis-21118	168	12	model	model	NOUN
fcis-21118	168	13	is	be	AUX
fcis-21118	168	14	increased	increase	VERB
fcis-21118	168	15	by	by	ADP
fcis-21118	168	16	nearly	nearly	ADV
fcis-21118	168	17	12	12	NUM
fcis-21118	168	18	%	%	NOUN
fcis-21118	168	19	,	,	PUNCT
fcis-21118	168	20	which	which	PRON
fcis-21118	168	21	fully	fully	ADV
fcis-21118	168	22	proves	prove	VERB
fcis-21118	168	23	that	that	SCONJ
fcis-21118	168	24	the	the	DET
fcis-21118	168	25	attention	attention	NOUN
fcis-21118	168	26	module	module	NOUN
fcis-21118	168	27	improves	improve	VERB
fcis-21118	168	28	the	the	DET
fcis-21118	168	29	performance	performance	NOUN
fcis-21118	168	30	of	of	ADP
fcis-21118	168	31	the	the	DET
fcis-21118	168	32	target	target	NOUN
fcis-21118	168	33	detection	detection	NOUN
fcis-21118	168	34	model	model	NOUN
fcis-21118	168	35	.	.	PUNCT
fcis-21118	169	1	figure	figure	NOUN
fcis-21118	169	2	12	12	NUM
fcis-21118	169	3	.	.	PUNCT
fcis-21118	170	1	ablation	ablation	NOUN
fcis-21118	170	2	experimental	experimental	ADJ
fcis-21118	170	3	data	datum	NOUN
fcis-21118	170	4	3.4.3	3.4.3	PROPN
fcis-21118	170	5	.	.	PUNCT
fcis-21118	170	6	comparative	comparative	ADJ
fcis-21118	170	7	experiment	experiment	NOUN
fcis-21118	170	8	ssd	ssd	NOUN
fcis-21118	170	9	,	,	PUNCT
fcis-21118	170	10	faster	fast	ADV
fcis-21118	170	11	r	r	NOUN
fcis-21118	170	12	-	-	PUNCT
fcis-21118	170	13	cnn	cnn	PROPN
fcis-21118	170	14	,	,	PUNCT
fcis-21118	170	15	yolov3	yolov3	PROPN
fcis-21118	170	16	,	,	PUNCT
fcis-21118	170	17	yol0v4	yol0v4	PROPN
fcis-21118	170	18	and	and	CCONJ
fcis-21118	170	19	yolov5	yolov5	NOUN
fcis-21118	170	20	are	be	AUX
fcis-21118	170	21	commonly	commonly	ADV
fcis-21118	170	22	used	use	VERB
fcis-21118	170	23	for	for	ADP
fcis-21118	170	24	target	target	NOUN
fcis-21118	170	25	detection	detection	NOUN
fcis-21118	170	26	.	.	PUNCT
fcis-21118	171	1	under	under	ADP
fcis-21118	171	2	the	the	DET
fcis-21118	171	3	data	data	NOUN
fcis-21118	171	4	set	set	VERB
fcis-21118	171	5	,	,	PUNCT
fcis-21118	171	6	ssd	ssd	NOUN
fcis-21118	171	7	,	,	PUNCT
fcis-21118	171	8	retinanet	retinanet	NOUN
fcis-21118	171	9	,	,	PUNCT
fcis-21118	171	10	faster	fast	ADV
fcis-21118	171	11	r	r	NOUN
fcis-21118	171	12	-	-	PUNCT
fcis-21118	171	13	cnn	cnn	PROPN
fcis-21118	171	14	,	,	PUNCT
fcis-21118	171	15	yolov3	yolov3	PROPN
fcis-21118	171	16	,	,	PUNCT
fcis-21118	171	17	yolov4	yolov4	PROPN
fcis-21118	171	18	and	and	CCONJ
fcis-21118	171	19	yol0v5	yol0v5	PROPN
fcis-21118	171	20	are	be	AUX
fcis-21118	171	21	compared	compare	VERB
fcis-21118	171	22	with	with	ADP
fcis-21118	171	23	sd	sd	NOUN
fcis-21118	171	24	-	-	PUNCT
fcis-21118	171	25	yolo	yolo	NOUN
fcis-21118	171	26	.	.	PUNCT
fcis-21118	172	1	it	it	PRON
fcis-21118	172	2	can	can	AUX
fcis-21118	172	3	be	be	AUX
fcis-21118	172	4	seen	see	VERB
fcis-21118	172	5	from	from	ADP
fcis-21118	172	6	the	the	DET
fcis-21118	172	7	comparative	comparative	ADJ
fcis-21118	172	8	experimental	experimental	ADJ
fcis-21118	172	9	data	datum	NOUN
fcis-21118	172	10	chart	chart	NOUN
fcis-21118	172	11	that	that	PRON
fcis-21118	172	12	the	the	DET
fcis-21118	172	13	improved	improved	ADJ
fcis-21118	172	14	sdyolo	sdyolo	NOUN
fcis-21118	172	15	network	network	NOUN
fcis-21118	172	16	surpasses	surpass	VERB
fcis-21118	172	17	other	other	ADJ
fcis-21118	172	18	detection	detection	NOUN
fcis-21118	172	19	methods	method	NOUN
fcis-21118	172	20	in	in	ADP
fcis-21118	172	21	terms	term	NOUN
fcis-21118	172	22	of	of	ADP
fcis-21118	172	23	accuracy	accuracy	NOUN
fcis-21118	172	24	.	.	PUNCT
fcis-21118	173	1	the	the	DET
fcis-21118	173	2	detection	detection	NOUN
fcis-21118	173	3	map	map	NOUN
fcis-21118	173	4	of	of	ADP
fcis-21118	173	5	the	the	DET
fcis-21118	173	6	improved	improved	ADJ
fcis-21118	173	7	sd	sd	NOUN
fcis-21118	173	8	-	-	PUNCT
fcis-21118	173	9	yolo	yolo	ADJ
fcis-21118	173	10	network	network	NOUN
fcis-21118	173	11	reaches	reach	VERB
fcis-21118	173	12	94.1	94.1	NUM
fcis-21118	173	13	%	%	NOUN
fcis-21118	173	14	,	,	PUNCT
fcis-21118	173	15	which	which	PRON
fcis-21118	173	16	is	be	AUX
fcis-21118	173	17	11.3	11.3	NUM
fcis-21118	173	18	points	point	NOUN
fcis-21118	173	19	higher	high	ADJ
fcis-21118	173	20	than	than	ADP
fcis-21118	173	21	the	the	DET
fcis-21118	173	22	original	original	ADJ
fcis-21118	173	23	yolov5	yolov5	NOUN
fcis-21118	173	24	.	.	PUNCT
fcis-21118	174	1	percentage	percentage	NOUN
fcis-21118	174	2	points	point	NOUN
fcis-21118	174	3	,	,	PUNCT
fcis-21118	174	4	fps	fps	PROPN
fcis-21118	174	5	has	have	AUX
fcis-21118	174	6	also	also	ADV
fcis-21118	174	7	been	be	AUX
fcis-21118	174	8	improved	improve	VERB
fcis-21118	174	9	,	,	PUNCT
fcis-21118	174	10	meeting	meet	VERB
fcis-21118	174	11	the	the	DET
fcis-21118	174	12	accuracy	accuracy	NOUN
fcis-21118	174	13	and	and	CCONJ
fcis-21118	174	14	real	real	ADJ
fcis-21118	174	15	-	-	PUNCT
fcis-21118	174	16	time	time	NOUN
fcis-21118	174	17	requirements	requirement	NOUN
fcis-21118	174	18	for	for	ADP
fcis-21118	174	19	crack	crack	NOUN
fcis-21118	174	20	detection	detection	NOUN
fcis-21118	174	21	.	.	PUNCT
fcis-21118	175	1	128	128	NUM
fcis-21118	175	2	figure	figure	NOUN
fcis-21118	175	3	13	13	NUM
fcis-21118	175	4	.	.	PUNCT
fcis-21118	176	1	comparative	comparative	ADJ
fcis-21118	176	2	experimental	experimental	ADJ
fcis-21118	176	3	data	datum	NOUN
fcis-21118	176	4	4	4	NUM
fcis-21118	176	5	.	.	PUNCT
fcis-21118	177	1	conclusion	conclusion	NOUN
fcis-21118	177	2	image	image	NOUN
fcis-21118	177	3	preprocessing	preprocessing	NOUN
fcis-21118	177	4	uses	use	VERB
fcis-21118	177	5	the	the	DET
fcis-21118	177	6	lp	lp	ADJ
fcis-21118	177	7	-	-	PUNCT
fcis-21118	177	8	ace	ace	NOUN
fcis-21118	177	9	algorithm	algorithm	NOUN
fcis-21118	177	10	to	to	PART
fcis-21118	177	11	significantly	significantly	ADV
fcis-21118	177	12	shorten	shorten	VERB
fcis-21118	177	13	the	the	DET
fcis-21118	177	14	computing	computing	NOUN
fcis-21118	177	15	time	time	NOUN
fcis-21118	177	16	.	.	PUNCT
fcis-21118	178	1	enhance	enhance	VERB
fcis-21118	178	2	the	the	DET
fcis-21118	178	3	contrast	contrast	NOUN
fcis-21118	178	4	of	of	ADP
fcis-21118	178	5	the	the	DET
fcis-21118	178	6	image	image	NOUN
fcis-21118	178	7	,	,	PUNCT
fcis-21118	178	8	improve	improve	VERB
fcis-21118	178	9	the	the	DET
fcis-21118	178	10	lightness	lightness	NOUN
fcis-21118	178	11	and	and	CCONJ
fcis-21118	178	12	darkness	darkness	NOUN
fcis-21118	178	13	of	of	ADP
fcis-21118	178	14	the	the	DET
fcis-21118	178	15	original	original	ADJ
fcis-21118	178	16	image	image	NOUN
fcis-21118	178	17	,	,	PUNCT
fcis-21118	178	18	while	while	SCONJ
fcis-21118	178	19	maintaining	maintain	VERB
fcis-21118	178	20	the	the	DET
fcis-21118	178	21	authenticity	authenticity	NOUN
fcis-21118	178	22	of	of	ADP
fcis-21118	178	23	the	the	DET
fcis-21118	178	24	image	image	NOUN
fcis-21118	178	25	.	.	PUNCT
fcis-21118	179	1	an	an	DET
fcis-21118	179	2	improved	improved	ADJ
fcis-21118	179	3	sd	sd	NOUN
fcis-21118	179	4	-	-	PUNCT
fcis-21118	179	5	yolo	yolo	ADJ
fcis-21118	179	6	tunnel	tunnel	NOUN
fcis-21118	179	7	crack	crack	NOUN
fcis-21118	179	8	detection	detection	NOUN
fcis-21118	179	9	algorithm	algorithm	NOUN
fcis-21118	179	10	based	base	VERB
fcis-21118	179	11	on	on	ADP
fcis-21118	179	12	yolo	yolo	PROPN
fcis-21118	179	13	v5s	v5s	PROPN
fcis-21118	179	14	is	be	AUX
fcis-21118	179	15	proposed	propose	VERB
fcis-21118	179	16	.	.	PUNCT
fcis-21118	180	1	by	by	ADP
fcis-21118	180	2	introducing	introduce	VERB
fcis-21118	180	3	the	the	DET
fcis-21118	180	4	ghost	ghost	NOUN
fcis-21118	180	5	module	module	NOUN
fcis-21118	180	6	,	,	PUNCT
fcis-21118	180	7	redundant	redundant	ADJ
fcis-21118	180	8	features	feature	NOUN
fcis-21118	180	9	are	be	AUX
fcis-21118	180	10	eliminated	eliminate	VERB
fcis-21118	180	11	,	,	PUNCT
fcis-21118	180	12	a	a	DET
fcis-21118	180	13	more	more	ADV
fcis-21118	180	14	lightweight	lightweight	ADJ
fcis-21118	180	15	network	network	NOUN
fcis-21118	180	16	model	model	NOUN
fcis-21118	180	17	is	be	AUX
fcis-21118	180	18	obtained	obtain	VERB
fcis-21118	180	19	,	,	PUNCT
fcis-21118	180	20	the	the	DET
fcis-21118	180	21	network	network	NOUN
fcis-21118	180	22	reasoning	reasoning	NOUN
fcis-21118	180	23	speed	speed	NOUN
fcis-21118	180	24	is	be	AUX
fcis-21118	180	25	improved	improve	VERB
fcis-21118	180	26	,	,	PUNCT
fcis-21118	180	27	and	and	CCONJ
fcis-21118	180	28	the	the	DET
fcis-21118	180	29	cbam	cbam	NOUN
fcis-21118	180	30	attention	attention	NOUN
fcis-21118	180	31	mechanism	mechanism	NOUN
fcis-21118	180	32	module	module	NOUN
fcis-21118	180	33	is	be	AUX
fcis-21118	180	34	added	add	VERB
fcis-21118	180	35	to	to	PART
fcis-21118	180	36	reduce	reduce	VERB
fcis-21118	180	37	the	the	DET
fcis-21118	180	38	complexity	complexity	NOUN
fcis-21118	180	39	.	.	PUNCT
fcis-21118	181	1	the	the	DET
fcis-21118	181	2	influence	influence	NOUN
fcis-21118	181	3	of	of	ADP
fcis-21118	181	4	background	background	NOUN
fcis-21118	181	5	on	on	ADP
fcis-21118	181	6	detection	detection	NOUN
fcis-21118	181	7	results	result	NOUN
fcis-21118	181	8	is	be	AUX
fcis-21118	181	9	strengthened	strengthen	VERB
fcis-21118	181	10	to	to	PART
fcis-21118	181	11	study	study	VERB
fcis-21118	181	12	the	the	DET
fcis-21118	181	13	regional	regional	ADJ
fcis-21118	181	14	characteristics	characteristic	NOUN
fcis-21118	181	15	of	of	ADP
fcis-21118	181	16	crack	crack	NOUN
fcis-21118	181	17	images	image	NOUN
fcis-21118	181	18	,	,	PUNCT
fcis-21118	181	19	so	so	SCONJ
fcis-21118	181	20	that	that	SCONJ
fcis-21118	181	21	the	the	DET
fcis-21118	181	22	model	model	NOUN
fcis-21118	181	23	can	can	AUX
fcis-21118	181	24	focus	focus	VERB
fcis-21118	181	25	more	more	ADV
fcis-21118	181	26	on	on	ADP
fcis-21118	181	27	the	the	DET
fcis-21118	181	28	extraction	extraction	NOUN
fcis-21118	181	29	of	of	ADP
fcis-21118	181	30	crack	crack	NOUN
fcis-21118	181	31	features	feature	NOUN
fcis-21118	181	32	,	,	PUNCT
fcis-21118	181	33	and	and	CCONJ
fcis-21118	181	34	a	a	DET
fcis-21118	181	35	two	two	NUM
fcis-21118	181	36	-	-	PUNCT
fcis-21118	181	37	way	way	NOUN
fcis-21118	181	38	feature	feature	NOUN
fcis-21118	181	39	pyramid	pyramid	NOUN
fcis-21118	181	40	network	network	NOUN
fcis-21118	181	41	is	be	AUX
fcis-21118	181	42	used	use	VERB
fcis-21118	181	43	for	for	ADP
fcis-21118	181	44	multi	multi	ADJ
fcis-21118	181	45	-	-	ADJ
fcis-21118	181	46	scale	scale	ADJ
fcis-21118	181	47	feature	feature	NOUN
fcis-21118	181	48	fusion	fusion	NOUN
fcis-21118	181	49	to	to	PART
fcis-21118	181	50	reduce	reduce	VERB
fcis-21118	181	51	redundant	redundant	ADJ
fcis-21118	181	52	calculations	calculation	NOUN
fcis-21118	181	53	and	and	CCONJ
fcis-21118	181	54	improve	improve	VERB
fcis-21118	181	55	the	the	DET
fcis-21118	181	56	algorithm	algorithm	NOUN
fcis-21118	181	57	's	's	PART
fcis-21118	181	58	detection	detection	NOUN
fcis-21118	181	59	ability	ability	NOUN
fcis-21118	181	60	of	of	ADP
fcis-21118	181	61	small	small	ADJ
fcis-21118	181	62	targets	target	NOUN
fcis-21118	181	63	.	.	PUNCT
fcis-21118	182	1	the	the	DET
fcis-21118	182	2	effectiveness	effectiveness	NOUN
fcis-21118	182	3	of	of	ADP
fcis-21118	182	4	the	the	DET
fcis-21118	182	5	sdyolo	sdyolo	NOUN
fcis-21118	182	6	model	model	NOUN
fcis-21118	182	7	was	be	AUX
fcis-21118	182	8	proved	prove	VERB
fcis-21118	182	9	through	through	ADP
fcis-21118	182	10	ablation	ablation	NOUN
fcis-21118	182	11	experiments	experiment	NOUN
fcis-21118	182	12	,	,	PUNCT
fcis-21118	182	13	and	and	CCONJ
fcis-21118	182	14	the	the	DET
fcis-21118	182	15	average	average	ADJ
fcis-21118	182	16	accuracy	accuracy	NOUN
fcis-21118	182	17	map	map	NOUN
fcis-21118	182	18	value	value	NOUN
fcis-21118	182	19	increased	increase	VERB
fcis-21118	182	20	significantly	significantly	ADV
fcis-21118	182	21	.	.	PUNCT
fcis-21118	183	1	comparative	comparative	ADJ
fcis-21118	183	2	experiments	experiment	NOUN
fcis-21118	183	3	have	have	AUX
fcis-21118	183	4	proven	prove	VERB
fcis-21118	183	5	the	the	DET
fcis-21118	183	6	superiority	superiority	NOUN
fcis-21118	183	7	of	of	ADP
fcis-21118	183	8	the	the	DET
fcis-21118	183	9	sd	sd	NOUN
fcis-21118	183	10	-	-	PUNCT
fcis-21118	183	11	yolo	yolo	ADJ
fcis-21118	183	12	model	model	NOUN
fcis-21118	183	13	,	,	PUNCT
fcis-21118	183	14	which	which	PRON
fcis-21118	183	15	meets	meet	VERB
fcis-21118	183	16	the	the	DET
fcis-21118	183	17	accuracy	accuracy	NOUN
fcis-21118	183	18	and	and	CCONJ
fcis-21118	183	19	real	real	ADJ
fcis-21118	183	20	-	-	PUNCT
fcis-21118	183	21	time	time	NOUN
fcis-21118	183	22	requirements	requirement	NOUN
fcis-21118	183	23	for	for	ADP
fcis-21118	183	24	crack	crack	NOUN
fcis-21118	183	25	detection	detection	NOUN
fcis-21118	183	26	.	.	PUNCT
fcis-21118	184	1	acknowledgments	acknowledgment	NOUN
fcis-21118	184	2	fund	fund	NOUN
fcis-21118	184	3	project	project	NOUN
fcis-21118	184	4	:	:	PUNCT
fcis-21118	184	5	national	national	ADJ
fcis-21118	184	6	natural	natural	PROPN
fcis-21118	184	7	science	science	PROPN
fcis-21118	184	8	foundation	foundation	PROPN
fcis-21118	184	9	of	of	ADP
fcis-21118	184	10	china	china	PROPN
fcis-21118	184	11	(	(	PUNCT
fcis-21118	184	12	51829801	51829801	NUM
fcis-21118	184	13	)	)	PUNCT
fcis-21118	184	14	.	.	PUNCT
fcis-21118	185	1	references	reference	NOUN
fcis-21118	185	2	[	[	X
fcis-21118	185	3	1	1	NUM
fcis-21118	185	4	]	]	X
fcis-21118	185	5	gao	gao	PROPN
fcis-21118	185	6	zhengdong	zhengdong	PROPN
fcis-21118	185	7	.	.	PUNCT
fcis-21118	186	1	research	research	NOUN
fcis-21118	186	2	on	on	ADP
fcis-21118	186	3	informatization	informatization	NOUN
fcis-21118	186	4	construction	construction	NOUN
fcis-21118	186	5	of	of	ADP
fcis-21118	186	6	subway	subway	NOUN
fcis-21118	186	7	operation	operation	NOUN
fcis-21118	186	8	management	management	NOUN
fcis-21118	187	1	[	[	X
fcis-21118	187	2	j	j	X
fcis-21118	187	3	]	]	X
fcis-21118	187	4	.	.	PUNCT
fcis-21118	188	1	heilongjiang	heilongjiang	PROPN
fcis-21118	188	2	transportation	transportation	PROPN
fcis-21118	188	3	science	science	NOUN
fcis-21118	188	4	and	and	CCONJ
fcis-21118	188	5	technology	technology	NOUN
fcis-21118	188	6	,	,	PUNCT
fcis-21118	188	7	2022	2022	NUM
fcis-21118	188	8	,	,	PUNCT
fcis-21118	188	9	45(11	45(11	NUM
fcis-21118	188	10	):	):	PUNCT
fcis-21118	188	11	177179	177179	NUM
fcis-21118	188	12	.	.	PUNCT
fcis-21118	189	1	doi	doi	NOUN
fcis-21118	189	2	:	:	PUNCT
fcis-21118	189	3	10.16402	10.16402	NUM
fcis-21118	189	4	/	/	SYM
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fcis-21118	189	7	3383.2022.11.045	3383.2022.11.045	PROPN
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fcis-21118	190	1	[	[	X
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fcis-21118	190	3	]	]	PUNCT
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fcis-21118	190	8	rail	rail	NOUN
fcis-21118	190	9	transit	transit	NOUN
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fcis-21118	190	12	in	in	ADP
fcis-21118	190	13	my	my	PRON
fcis-21118	190	14	country	country	NOUN
fcis-21118	190	15	is	be	AUX
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fcis-21118	191	1	[	[	X
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fcis-21118	191	3	]	]	X
fcis-21118	191	4	.	.	PUNCT
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fcis-21118	192	2	rail	rail	NOUN
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fcis-21118	192	4	research	research	NOUN
fcis-21118	192	5	,	,	PUNCT
fcis-21118	192	6	2023	2023	NUM
fcis-21118	192	7	,	,	PUNCT
fcis-21118	192	8	26(03):265	26(03):265	NUM
fcis-21118	192	9	.	.	PUNCT
fcis-21118	193	1	[	[	X
fcis-21118	193	2	3	3	X
fcis-21118	193	3	]	]	X
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fcis-21118	193	6	.	.	PUNCT
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fcis-21118	194	2	on	on	ADP
fcis-21118	194	3	the	the	DET
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fcis-21118	194	8	technology	technology	NOUN
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fcis-21118	195	1	[	[	X
fcis-21118	195	2	j	j	X
fcis-21118	195	3	]	]	X
fcis-21118	195	4	.	.	PUNCT
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fcis-21118	196	2	survey	survey	NOUN
fcis-21118	196	3	,	,	PUNCT
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fcis-21118	196	7	):	):	PUNCT
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fcis-21118	196	9	-	-	SYM
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fcis-21118	196	13	.	.	PUNCT
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fcis-21118	199	2	.	.	PUNCT
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fcis-21118	200	2	4	4	X
fcis-21118	200	3	]	]	X
fcis-21118	200	4	lu	lu	PROPN
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fcis-21118	200	9	,	,	PUNCT
fcis-21118	200	10	fan	fan	PROPN
fcis-21118	200	11	xiaodong	xiaodong	PROPN
fcis-21118	200	12	.	.	PUNCT
fcis-21118	201	1	rapid	rapid	ADJ
fcis-21118	201	2	detection	detection	NOUN
fcis-21118	201	3	method	method	NOUN
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fcis-21118	201	5	application	application	NOUN
fcis-21118	201	6	of	of	ADP
fcis-21118	201	7	superficial	superficial	ADJ
fcis-21118	201	8	diseases	disease	NOUN
fcis-21118	201	9	in	in	ADP
fcis-21118	201	10	subway	subway	NOUN
fcis-21118	201	11	tunnel	tunnel	NOUN
fcis-21118	201	12	structures	structure	NOUN
fcis-21118	202	1	[	[	X
fcis-21118	202	2	j	j	X
fcis-21118	202	3	]	]	X
fcis-21118	202	4	.	.	PUNCT
fcis-21118	203	1	tunnel	tunnel	NOUN
fcis-21118	203	2	construction	construction	NOUN
fcis-21118	203	3	(	(	PUNCT
fcis-21118	203	4	chinese	chinese	ADJ
fcis-21118	203	5	and	and	CCONJ
fcis-21118	203	6	english	english	PROPN
fcis-21118	203	7	)	)	PUNCT
fcis-21118	203	8	,	,	PUNCT
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fcis-21118	203	10	,	,	PUNCT
fcis-21118	203	11	41(s2	41(s2	NUM
fcis-21118	203	12	):	):	PUNCT
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fcis-21118	203	14	-	-	PUNCT
fcis-21118	203	15	663	663	NUM
fcis-21118	203	16	.	.	PUNCT
fcis-21118	204	1	[	[	X
fcis-21118	204	2	5	5	NUM
fcis-21118	204	3	]	]	SYM
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fcis-21118	204	15	.	.	PROPN
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fcis-21118	204	17	on	on	ADP
fcis-21118	204	18	crack	crack	NOUN
fcis-21118	204	19	detection	detection	NOUN
fcis-21118	204	20	system	system	NOUN
fcis-21118	204	21	of	of	ADP
fcis-21118	204	22	tunnel	tunnel	NOUN
fcis-21118	204	23	lining	lining	NOUN
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fcis-21118	204	25	on	on	ADP
fcis-21118	204	26	image	image	NOUN
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fcis-21118	204	28	technology[j	technology[j	NOUN
fcis-21118	204	29	]	]	PUNCT
fcis-21118	204	30	.	.	PUNCT
fcis-21118	205	1	railway	railway	NOUN
fcis-21118	205	2	construction	construction	NOUN
fcis-21118	205	3	,	,	PUNCT
fcis-21118	205	4	2018	2018	NUM
fcis-21118	205	5	,	,	PUNCT
fcis-21118	205	6	58(01	58(01	NUM
fcis-21118	205	7	):	):	PUNCT
fcis-21118	205	8	20	20	NUM
fcis-21118	205	9	-	-	SYM
fcis-21118	205	10	24	24	NUM
fcis-21118	205	11	.	.	PUNCT
fcis-21118	206	1	[	[	X
fcis-21118	206	2	6	6	NUM
fcis-21118	206	3	]	]	PUNCT
fcis-21118	206	4	huang	huang	PROPN
fcis-21118	206	5	h	h	PROPN
fcis-21118	206	6	,	,	PUNCT
fcis-21118	206	7	li	li	PROPN
fcis-21118	206	8	q	q	PROPN
fcis-21118	206	9	,	,	PUNCT
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fcis-21118	206	11	d.	d.	PROPN
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fcis-21118	206	13	learning	learning	PROPN
fcis-21118	206	14	based	base	VERB
fcis-21118	206	15	image	image	NOUN
fcis-21118	206	16	recognition	recognition	NOUN
fcis-21118	206	17	for	for	ADP
fcis-21118	206	18	crack	crack	NOUN
fcis-21118	206	19	and	and	CCONJ
fcis-21118	206	20	leakage	leakage	NOUN
fcis-21118	206	21	defects	defect	NOUN
fcis-21118	206	22	of	of	ADP
fcis-21118	206	23	metro	metro	PROPN
fcis-21118	206	24	shield	shield	PROPN
fcis-21118	206	25	tunnel	tunnel	NOUN
fcis-21118	206	26	[	[	X
fcis-21118	206	27	j	j	X
fcis-21118	206	28	]	]	X
fcis-21118	206	29	.	.	PUNCT
fcis-21118	207	1	tunnelling	tunnelling	NOUN
fcis-21118	207	2	and	and	CCONJ
fcis-21118	207	3	underground	underground	ADJ
fcis-21118	207	4	space	space	NOUN
fcis-21118	207	5	technology	technology	NOUN
fcis-21118	207	6	,	,	PUNCT
fcis-21118	207	7	2018	2018	NUM
fcis-21118	207	8	,	,	PUNCT
fcis-21118	207	9	77	77	NUM
fcis-21118	207	10	:	:	SYM
fcis-21118	207	11	166	166	NUM
fcis-21118	207	12	-	-	SYM
fcis-21118	207	13	176	176	NUM
fcis-21118	207	14	.	.	PUNCT
fcis-21118	208	1	[	[	X
fcis-21118	208	2	7	7	X
fcis-21118	208	3	]	]	X
fcis-21118	208	4	kim	kim	PROPN
fcis-21118	208	5	b	b	PROPN
fcis-21118	208	6	,	,	PUNCT
fcis-21118	208	7	cho	cho	PROPN
fcis-21118	208	8	s.	s.	PROPN
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fcis-21118	208	10	concrete	concrete	ADJ
fcis-21118	208	11	crack	crack	NOUN
fcis-21118	208	12	assessment	assessment	NOUN
fcis-21118	208	13	using	use	VERB
fcis-21118	208	14	mask	mask	NOUN
fcis-21118	208	15	and	and	CCONJ
fcis-21118	208	16	region‐based	region‐base	VERB
fcis-21118	208	17	convolutional	convolutional	ADJ
fcis-21118	208	18	neural	neural	ADJ
fcis-21118	208	19	network[j	network[j	NOUN
fcis-21118	208	20	]	]	PUNCT
fcis-21118	208	21	.	.	PUNCT
fcis-21118	209	1	structural	structural	ADJ
fcis-21118	209	2	control	control	NOUN
fcis-21118	209	3	and	and	CCONJ
fcis-21118	209	4	health	health	NOUN
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fcis-21118	209	6	,	,	PUNCT
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fcis-21118	209	8	,	,	PUNCT
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fcis-21118	209	10	):	):	PUNCT
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fcis-21118	210	2	8	8	NUM
fcis-21118	210	3	]	]	PUNCT
fcis-21118	210	4	xu	xu	PROPN
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fcis-21118	210	6	,	,	PUNCT
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fcis-21118	210	9	,	,	PUNCT
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fcis-21118	210	11	y	y	PROPN
fcis-21118	210	12	,	,	PUNCT
fcis-21118	210	13	et	et	PROPN
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fcis-21118	210	17	seismic	seismic	ADJ
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fcis-21118	210	21	reinforced	reinforce	VERB
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fcis-21118	210	23	columns	column	NOUN
fcis-21118	210	24	from	from	ADP
fcis-21118	210	25	images	image	NOUN
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fcis-21118	210	27	a	a	DET
fcis-21118	210	28	region	region	NOUN
fcis-21118	210	29	-	-	PUNCT
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fcis-21118	210	32	convolutional	convolutional	ADJ
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fcis-21118	210	34	network[j	network[j	NOUN
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fcis-21118	210	36	.	.	PUNCT
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fcis-21118	211	2	control	control	NOUN
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fcis-21118	211	4	health	health	NOUN
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fcis-21118	211	6	,	,	PUNCT
fcis-21118	211	7	2019	2019	NUM
fcis-21118	211	8	,	,	PUNCT
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fcis-21118	211	11	):	):	PUNCT
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fcis-21118	211	13	.	.	PUNCT
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fcis-21118	212	6	,	,	PUNCT
fcis-21118	212	7	li	li	PROPN
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fcis-21118	212	9	.	.	PUNCT
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fcis-21118	213	2	tunnel	tunnel	NOUN
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fcis-21118	214	1	[	[	X
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fcis-21118	215	7	science	science	NOUN
fcis-21118	215	8	edition	edition	NOUN
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fcis-21118	215	10	,	,	PUNCT
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fcis-21118	215	13	45(03	45(03	PROPN
fcis-21118	215	14	):	):	PUNCT
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fcis-21118	215	16	-	-	SYM
fcis-21118	215	17	109	109	NUM
fcis-21118	215	18	.	.	PUNCT
fcis-21118	216	1	doi	doi	NOUN
fcis-21118	216	2	:	:	PUNCT
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fcis-21118	216	4	/	/	SYM
fcis-21118	216	5	j.cnki	j.cnki	NOUN
fcis-21118	216	6	.	.	PUNCT
fcis-21118	217	1	hdxbzkb.2018.03.012	hdxbzkb.2018.03.012	NOUN
fcis-21118	217	2	.	.	PUNCT
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fcis-21118	218	2	10	10	NUM
fcis-21118	218	3	]	]	X
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fcis-21118	218	9	,	,	PUNCT
fcis-21118	218	10	jin	jin	PROPN
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fcis-21118	218	12	.	.	PUNCT
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fcis-21118	219	3	tunnel	tunnel	NOUN
fcis-21118	219	4	crack	crack	NOUN
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fcis-21118	220	1	[	[	X
fcis-21118	220	2	j	j	X
fcis-21118	220	3	]	]	X
fcis-21118	220	4	.	.	PUNCT
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fcis-21118	221	2	measurement	measurement	NOUN
fcis-21118	221	3	and	and	CCONJ
fcis-21118	221	4	control	control	NOUN
fcis-21118	221	5	,	,	PUNCT
fcis-21118	221	6	2020	2020	NUM
fcis-21118	221	7	,	,	PUNCT
fcis-21118	221	8	28(08	28(08	NUM
fcis-21118	221	9	):	):	PUNCT
fcis-21118	221	10	58	58	NUM
fcis-21118	221	11	-	-	SYM
fcis-21118	221	12	61	61	NUM
fcis-21118	222	1	+	+	ADJ
fcis-21118	222	2	87.doi	87.doi	PROPN
fcis-21118	222	3	:	:	PUNCT
fcis-21118	222	4	10	10	NUM
fcis-21118	222	5	.	.	NOUN
fcis-21118	222	6	16526/	16526/	NUM
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fcis-21118	222	11	.	.	PUNCT
fcis-21118	223	1	[	[	X
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fcis-21118	223	3	]	]	X
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fcis-21118	223	5	f	f	PROPN
fcis-21118	223	6	c	c	PROPN
fcis-21118	223	7	,	,	PUNCT
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fcis-21118	223	14	:	:	PUNCT
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fcis-21118	223	16	learning	learning	NOUN
fcis-21118	223	17	-	-	PUNCT
fcis-21118	223	18	based	base	VERB
fcis-21118	223	19	crack	crack	NOUN
fcis-21118	223	20	detection	detection	NOUN
fcis-21118	223	21	using	use	VERB
fcis-21118	223	22	convolutional	convolutional	ADJ
fcis-21118	223	23	neural	neural	ADJ
fcis-21118	223	24	network	network	NOUN
fcis-21118	223	25	and	and	CCONJ
fcis-21118	223	26	naïve	naïve	ADJ
fcis-21118	223	27	bayes	bayes	NOUN
fcis-21118	223	28	datafusion	datafusion	NOUN
fcis-21118	223	29	[	[	X
fcis-21118	223	30	j	j	X
fcis-21118	223	31	]	]	X
fcis-21118	223	32	.	.	PUNCT
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fcis-21118	224	2	transactions	transaction	NOUN
fcis-21118	224	3	on	on	ADP
fcis-21118	224	4	industrial	industrial	ADJ
fcis-21118	224	5	electronics	electronic	NOUN
fcis-21118	224	6	,	,	PUNCT
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fcis-21118	224	8	,	,	PUNCT
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fcis-21118	225	3	]	]	X
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fcis-21118	225	6	,	,	PUNCT
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fcis-21118	225	9	,	,	PUNCT
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fcis-21118	225	12	,	,	PUNCT
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fcis-21118	225	14	.	.	X
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fcis-21118	225	16	tunnel	tunnel	NOUN
fcis-21118	225	17	lining	lining	NOUN
fcis-21118	225	18	disease	disease	NOUN
fcis-21118	225	19	identification	identification	NOUN
fcis-21118	225	20	method	method	NOUN
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fcis-21118	226	5	(	(	PUNCT
fcis-21118	226	6	engineering	engineering	NOUN
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fcis-21118	227	3	]	]	PUNCT
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fcis-21118	227	15	,	,	PUNCT
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fcis-21118	227	17	feng	feng	PROPN
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fcis-21118	227	21	,	,	PUNCT
fcis-21118	227	22	"	"	PUNCT
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fcis-21118	227	36	"	"	PUNCT
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fcis-21118	228	2	,	,	PUNCT
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fcis-21118	228	6	,	,	PUNCT
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fcis-21118	228	8	.	.	PUNCT
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fcis-21118	229	2	,	,	PUNCT
fcis-21118	229	3	nov	nov	PROPN
fcis-21118	229	4	.	.	PROPN
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fcis-21118	229	6	,	,	PUNCT
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fcis-21118	229	12	.	.	PUNCT
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fcis-21118	230	9	,	,	PUNCT
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fcis-21118	230	12	,	,	PUNCT
fcis-21118	230	13	zhou	zhou	PROPN
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fcis-21118	230	15	.	.	PUNCT
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fcis-21118	231	11	tunnel	tunnel	NOUN
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fcis-21118	231	13	[	[	X
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fcis-21118	231	15	]	]	X
fcis-21118	231	16	.	.	PUNCT
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fcis-21118	232	5	,	,	PUNCT
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fcis-21118	232	7	-	-	SYM
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fcis-21118	232	9	.	.	PUNCT
fcis-21118	233	1	[	[	X
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fcis-21118	233	3	]	]	X
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fcis-21118	233	9	,	,	PUNCT
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fcis-21118	235	1	[	[	X
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fcis-21118	235	6	.	.	PUNCT
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fcis-21118	253	3	-	-	SYM
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fcis-21118	253	5	-	-	PUNCT
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fcis-21118	259	9	.	.	PUNCT
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fcis-21118	261	1	[	[	X
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fcis-21118	261	6	.	.	PUNCT
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fcis-21118	262	5	:	:	PUNCT
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fcis-21118	263	5	-	-	SYM
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fcis-21118	263	7	]	]	PUNCT
fcis-21118	263	8	.	.	PUNCT
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fcis-21118	264	2	:	:	PUNCT
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fcis-21118	264	6	.	.	PUNCT
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fcis-21118	265	2	20	20	NUM
fcis-21118	265	3	]	]	X
fcis-21118	265	4	wang	wang	PROPN
fcis-21118	265	5	jianfeng	jianfeng	PROPN
fcis-21118	265	6	,	,	PUNCT
fcis-21118	265	7	liu	liu	PROPN
fcis-21118	265	8	wenhao	wenhao	PROPN
fcis-21118	265	9	,	,	PUNCT
fcis-21118	265	10	pan	pan	NOUN
fcis-21118	265	11	qingyun	qingyun	NOUN
fcis-21118	265	12	.	.	PUNCT
fcis-21118	266	1	tunnel	tunnel	NOUN
fcis-21118	266	2	lining	lining	NOUN
fcis-21118	266	3	crack	crack	NOUN
fcis-21118	266	4	detection	detection	NOUN
fcis-21118	266	5	based	base	VERB
fcis-21118	266	6	on	on	ADP
fcis-21118	266	7	image	image	NOUN
fcis-21118	266	8	processing	processing	NOUN
fcis-21118	266	9	and	and	CCONJ
fcis-21118	266	10	deep	deep	ADJ
fcis-21118	266	11	learning	learning	NOUN
fcis-21118	266	12	[	[	X
fcis-21118	266	13	j	j	X
fcis-21118	266	14	]	]	X
fcis-21118	266	15	.	.	PUNCT
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fcis-21118	267	2	of	of	ADP
fcis-21118	267	3	beijing	beijing	PROPN
fcis-21118	267	4	jiaotong	jiaotong	PROPN
fcis-21118	267	5	university	university	PROPN
fcis-21118	267	6	,	,	PUNCT
fcis-21118	267	7	2022	2022	NUM
fcis-21118	267	8	,	,	PUNCT
fcis-21118	267	9	46(05	46(05	PROPN
fcis-21118	267	10	):	):	PUNCT
fcis-21118	267	11	1929	1929	NUM
fcis-21118	267	12	.	.	PUNCT
fcis-21118	268	1	[	[	X
fcis-21118	268	2	21	21	NUM
fcis-21118	268	3	]	]	X
fcis-21118	268	4	zhou	zhou	PROPN
fcis-21118	268	5	zhong	zhong	PROPN
fcis-21118	268	6	,	,	PUNCT
fcis-21118	268	7	yan	yan	PROPN
fcis-21118	268	8	longbin	longbin	PROPN
fcis-21118	268	9	,	,	PUNCT
fcis-21118	268	10	zhang	zhang	PROPN
fcis-21118	268	11	junjie	junjie	PROPN
fcis-21118	268	12	,	,	PUNCT
fcis-21118	268	13	gong	gong	PROPN
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fcis-21118	268	17	status	status	NOUN
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fcis-21118	268	20	of	of	ADP
fcis-21118	268	21	intelligent	intelligent	ADJ
fcis-21118	268	22	identification	identification	NOUN
fcis-21118	268	23	of	of	ADP
fcis-21118	268	24	apparent	apparent	ADJ
fcis-21118	268	25	diseases	disease	NOUN
fcis-21118	268	26	in	in	ADP
fcis-21118	268	27	highway	highway	NOUN
fcis-21118	268	28	tunnels	tunnel	NOUN
fcis-21118	268	29	based	base	VERB
fcis-21118	268	30	on	on	ADP
fcis-21118	268	31	deep	deep	ADJ
fcis-21118	268	32	learning	learn	VERB
fcis-21118	268	33	76.3	76.3	NUM
fcis-21118	268	34	73.7	73.7	NUM
fcis-21118	268	35	71.7	71.7	NUM
fcis-21118	268	36	84.3	84.3	NUM
fcis-21118	268	37	78.4	78.4	NUM
fcis-21118	268	38	80.2	80.2	NUM
fcis-21118	268	39	82.8	82.8	NUM
fcis-21118	268	40	94.1	94.1	NUM
fcis-21118	268	41	27	27	NUM
fcis-21118	268	42	48	48	NUM
fcis-21118	268	43	23	23	NUM
fcis-21118	268	44	13	13	NUM
fcis-21118	268	45	29	29	NUM
fcis-21118	268	46	43	43	NUM
fcis-21118	268	47	93	93	NUM
fcis-21118	268	48	95	95	NUM
fcis-21118	268	49	0	0	NUM
fcis-21118	268	50	20	20	NUM
fcis-21118	268	51	40	40	NUM
fcis-21118	268	52	60	60	NUM
fcis-21118	268	53	80	80	NUM
fcis-21118	268	54	100	100	NUM
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fcis-21118	268	57	retinanet	retinanet	NOUN
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fcis-21118	268	59	r	r	NOUN
fcis-21118	268	60	-	-	PUNCT
fcis-21118	268	61	cnn	cnn	NOUN
fcis-21118	268	62	yolov3	yolov3	PROPN
fcis-21118	268	63	yolov4	yolov4	PROPN
fcis-21118	269	1	yolov5	yolov5	PROPN
fcis-21118	269	2	sd	sd	PROPN
fcis-21118	269	3	-	-	PUNCT
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fcis-21118	269	5	fps	fps	PROPN
fcis-21118	269	6	map（%	map（%	PROPN
fcis-21118	269	7	）	）	PROPN
fcis-21118	269	8	129	129	NUM
fcis-21118	270	1	[	[	X
fcis-21118	270	2	j	j	X
fcis-21118	270	3	]	]	X
fcis-21118	270	4	.	.	PUNCT
fcis-21118	271	1	chinese	chinese	ADJ
fcis-21118	271	2	journal	journal	PROPN
fcis-21118	271	3	of	of	ADP
fcis-21118	271	4	civil	civil	ADJ
fcis-21118	271	5	engineering	engineering	NOUN
fcis-21118	271	6	,	,	PUNCT
fcis-21118	271	7	2022	2022	NUM
fcis-21118	271	8	,	,	PUNCT
fcis-21118	271	9	55(s2	55(s2	NUM
fcis-21118	271	10	):	):	PUNCT
fcis-21118	271	11	38	38	NUM
fcis-21118	271	12	-	-	SYM
fcis-21118	271	13	48	48	NUM
fcis-21118	271	14	.	.	PUNCT
fcis-21118	272	1	doi	doi	NOUN
fcis-21118	272	2	:	:	PUNCT
fcis-21118	272	3	10	10	NUM
fcis-21118	272	4	.	.	X
fcis-21118	272	5	15951	15951	NUM
fcis-21118	272	6	/	/	SYM
fcis-21118	272	7	j.tmgcxb.2022.s2.13	j.tmgcxb.2022.s2.13	NOUN
fcis-21118	272	8	.	.	PUNCT
fcis-21118	273	1	[	[	X
fcis-21118	273	2	22	22	NUM
fcis-21118	273	3	]	]	X
fcis-21118	273	4	ha	ha	INTJ
fcis-21118	273	5	j	j	PROPN
fcis-21118	273	6	,	,	PUNCT
fcis-21118	273	7	kim	kim	PROPN
fcis-21118	273	8	d	d	PROPN
fcis-21118	273	9	,	,	PUNCT
fcis-21118	273	10	kim	kim	PROPN
fcis-21118	273	11	m.	m.	NOUN
fcis-21118	273	12	assessing	assess	VERB
fcis-21118	273	13	severity	severity	NOUN
fcis-21118	273	14	of	of	ADP
fcis-21118	273	15	road	road	NOUN
fcis-21118	273	16	cracks	crack	NOUN
fcis-21118	273	17	using	use	VERB
fcis-21118	273	18	deep	deep	ADJ
fcis-21118	273	19	learning	learning	NOUN
fcis-21118	273	20	-	-	PUNCT
fcis-21118	273	21	based	base	VERB
fcis-21118	273	22	segmentation	segmentation	NOUN
fcis-21118	273	23	and	and	CCONJ
fcis-21118	273	24	detection[j	detection[j	PROPN
fcis-21118	273	25	]	]	PUNCT
fcis-21118	273	26	.	.	PUNCT
fcis-21118	274	1	the	the	DET
fcis-21118	274	2	journal	journal	NOUN
fcis-21118	274	3	of	of	ADP
fcis-21118	274	4	supercomputing	supercomputing	NOUN
fcis-21118	274	5	,	,	PUNCT
fcis-21118	274	6	2022	2022	NUM
fcis-21118	274	7	,	,	PUNCT
fcis-21118	274	8	78(16	78(16	NOUN
fcis-21118	274	9	):	):	PUNCT
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fcis-21118	274	11	-	-	SYM
fcis-21118	274	12	17735	17735	NUM
fcis-21118	274	13	.	.	PUNCT
fcis-21118	275	1	[	[	X
fcis-21118	275	2	23	23	NUM
fcis-21118	275	3	]	]	X
fcis-21118	275	4	meng	meng	PROPN
fcis-21118	275	5	s	s	PROPN
fcis-21118	275	6	,	,	PUNCT
fcis-21118	275	7	kuang	kuang	PROPN
fcis-21118	275	8	s	s	PROPN
fcis-21118	275	9	,	,	PUNCT
fcis-21118	275	10	ma	ma	PROPN
fcis-21118	275	11	z	z	PROPN
fcis-21118	275	12	,	,	PUNCT
fcis-21118	275	13	et	et	PROPN
fcis-21118	275	14	al	al	PROPN
fcis-21118	275	15	.	.	PUNCT
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fcis-21118	275	17	:	:	PUNCT
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fcis-21118	275	19	effective	effective	ADJ
fcis-21118	275	20	deep	deep	ADJ
fcis-21118	275	21	multitask	multitask	ADJ
fcis-21118	275	22	learning	learn	VERB
fcis-21118	275	23	architecture	architecture	NOUN
fcis-21118	275	24	for	for	ADP
fcis-21118	275	25	rail	rail	NOUN
fcis-21118	275	26	crack	crack	NOUN
fcis-21118	275	27	detection[j	detection[j	PROPN
fcis-21118	275	28	]	]	PUNCT
fcis-21118	275	29	.	.	PUNCT
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fcis-21118	276	2	transactions	transaction	NOUN
fcis-21118	276	3	on	on	ADP
fcis-21118	276	4	instrumentation	instrumentation	NOUN
fcis-21118	276	5	and	and	CCONJ
fcis-21118	276	6	measurement	measurement	NOUN
fcis-21118	276	7	,	,	PUNCT
fcis-21118	276	8	2022	2022	NUM
fcis-21118	276	9	,	,	PUNCT
fcis-21118	276	10	71	71	NUM
fcis-21118	276	11	:	:	SYM
fcis-21118	276	12	1	1	NUM
fcis-21118	276	13	-	-	SYM
fcis-21118	276	14	10	10	NUM
fcis-21118	276	15	.	.	PUNCT
fcis-21118	277	1	[	[	X
fcis-21118	277	2	24	24	NUM
fcis-21118	277	3	]	]	X
fcis-21118	277	4	cao	cao	PROPN
fcis-21118	277	5	w	w	PROPN
fcis-21118	277	6	,	,	PUNCT
fcis-21118	277	7	liu	liu	PROPN
fcis-21118	277	8	q	q	PROPN
fcis-21118	277	9	,	,	PUNCT
fcis-21118	277	10	he	he	PRON
fcis-21118	277	11	z.	z.	PROPN
fcis-21118	277	12	review	review	NOUN
fcis-21118	277	13	of	of	ADP
fcis-21118	277	14	pavement	pavement	NOUN
fcis-21118	277	15	defect	defect	NOUN
fcis-21118	277	16	detection	detection	NOUN
fcis-21118	277	17	methods[j	methods[j	NOUN
fcis-21118	277	18	]	]	PUNCT
fcis-21118	277	19	.	.	PUNCT
fcis-21118	278	1	ieee	ieee	NOUN
fcis-21118	278	2	access	access	NOUN
fcis-21118	278	3	,	,	PUNCT
fcis-21118	278	4	2020	2020	NUM
fcis-21118	278	5	,	,	PUNCT
fcis-21118	278	6	8	8	NUM
fcis-21118	278	7	:	:	SYM
fcis-21118	278	8	14531	14531	NUM
fcis-21118	278	9	-	-	SYM
fcis-21118	278	10	14544	14544	NUM
fcis-21118	278	11	.	.	PUNCT
fcis-21118	279	1	[	[	X
fcis-21118	279	2	25	25	NUM
fcis-21118	279	3	]	]	X
fcis-21118	279	4	fang	fang	PROPN
fcis-21118	279	5	j	j	PROPN
fcis-21118	279	6	,	,	PUNCT
fcis-21118	279	7	qu	qu	PROPN
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fcis-21118	279	9	,	,	PUNCT
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fcis-21118	279	11	y.	y.	NOUN
fcis-21118	279	12	distribution	distribution	NOUN
fcis-21118	279	13	equalization	equalization	NOUN
fcis-21118	279	14	learning	learning	NOUN
fcis-21118	279	15	mechanism	mechanism	NOUN
fcis-21118	279	16	for	for	ADP
fcis-21118	279	17	road	road	NOUN
fcis-21118	279	18	crack	crack	VERB
fcis-21118	279	19	detection[j	detection[j	PROPN
fcis-21118	279	20	]	]	PUNCT
fcis-21118	279	21	.	.	PUNCT
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fcis-21118	280	2	,	,	PUNCT
fcis-21118	280	3	2021	2021	NUM
fcis-21118	280	4	,	,	PUNCT
fcis-21118	280	5	424	424	NUM
fcis-21118	280	6	:	:	SYM
fcis-21118	280	7	193	193	NUM
fcis-21118	280	8	-	-	SYM
fcis-21118	280	9	204	204	NUM
fcis-21118	280	10	.	.	PUNCT
fcis-21118	281	1	[	[	X
fcis-21118	281	2	26	26	NUM
fcis-21118	281	3	]	]	X
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fcis-21118	281	6	,	,	PUNCT
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fcis-21118	281	8	chao	chao	PROPN
fcis-21118	281	9	.	.	PUNCT
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fcis-21118	282	2	on	on	ADP
fcis-21118	282	3	bridge	bridge	NOUN
fcis-21118	282	4	crack	crack	NOUN
fcis-21118	282	5	location	location	NOUN
fcis-21118	282	6	algorithm	algorithm	NOUN
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fcis-21118	282	8	on	on	ADP
fcis-21118	282	9	deep	deep	ADJ
fcis-21118	282	10	learning	learning	NOUN
fcis-21118	283	1	[	[	X
fcis-21118	283	2	j	j	X
fcis-21118	283	3	]	]	X
fcis-21118	283	4	.	.	PUNCT
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fcis-21118	284	2	electronic	electronic	ADJ
fcis-21118	284	3	measurement	measurement	NOUN
fcis-21118	284	4	technology	technology	NOUN
fcis-21118	284	5	,	,	PUNCT
fcis-21118	284	6	2022	2022	NUM
fcis-21118	284	7	,	,	PUNCT
fcis-21118	284	8	41(04	41(04	NOUN
fcis-21118	284	9	):	):	PUNCT
fcis-21118	284	10	112	112	NUM
fcis-21118	284	11	-	-	SYM
fcis-21118	284	12	118	118	NUM
fcis-21118	284	13	.	.	PUNCT
fcis-21118	285	1	doi	doi	NOUN
fcis-21118	285	2	:	:	PUNCT
fcis-21118	285	3	10	10	NUM
fcis-21118	285	4	.	.	NOUN
fcis-21118	285	5	19652/	19652/	NUM
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fcis-21118	285	7	.	.	PUNCT
fcis-21118	286	1	[	[	X
fcis-21118	286	2	27	27	NUM
fcis-21118	286	3	]	]	X
fcis-21118	286	4	li	li	PROPN
fcis-21118	286	5	zhangwei	zhangwei	PROPN
fcis-21118	286	6	,	,	PUNCT
fcis-21118	286	7	huan	huan	PROPN
fcis-21118	286	8	shun	shun	PROPN
fcis-21118	286	9	,	,	PUNCT
fcis-21118	286	10	wang	wang	PROPN
fcis-21118	286	11	xiaofei	xiaofei	PROPN
fcis-21118	286	12	.	.	PUNCT
fcis-21118	287	1	review	review	NOUN
fcis-21118	287	2	of	of	ADP
fcis-21118	287	3	visionbased	visionbase	VERB
fcis-21118	287	4	target	target	NOUN
fcis-21118	287	5	detection	detection	NOUN
fcis-21118	287	6	methods	method	NOUN
fcis-21118	287	7	[	[	X
fcis-21118	287	8	j	j	X
fcis-21118	287	9	]	]	X
fcis-21118	287	10	.	.	PUNCT
fcis-21118	288	1	computer	computer	NOUN
fcis-21118	288	2	engineering	engineering	NOUN
fcis-21118	288	3	and	and	CCONJ
fcis-21118	288	4	applications	application	NOUN
fcis-21118	288	5	,	,	PUNCT
fcis-21118	288	6	2020	2020	NUM
fcis-21118	288	7	,	,	PUNCT
fcis-21118	288	8	56(08	56(08	NUM
fcis-21118	288	9	):	):	PUNCT
fcis-21118	288	10	1	1	NUM
fcis-21118	288	11	-	-	SYM
fcis-21118	288	12	9	9	NUM
fcis-21118	288	13	.	.	PUNCT
fcis-21118	289	1	[	[	X
fcis-21118	289	2	28	28	NUM
fcis-21118	289	3	]	]	X
fcis-21118	289	4	shao	shao	PROPN
fcis-21118	289	5	yanhua	yanhua	PROPN
fcis-21118	289	6	,	,	PUNCT
fcis-21118	289	7	zhang	zhang	PROPN
fcis-21118	289	8	duo	duo	PROPN
fcis-21118	289	9	,	,	PUNCT
fcis-21118	289	10	chu	chu	PROPN
fcis-21118	289	11	hongyu	hongyu	PROPN
fcis-21118	289	12	,	,	PUNCT
fcis-21118	289	13	zhang	zhang	PROPN
fcis-21118	289	14	xiaoqiang	xiaoqiang	PROPN
fcis-21118	289	15	,	,	PUNCT
fcis-21118	289	16	rao	rao	PROPN
fcis-21118	289	17	yunbo	yunbo	PROPN
fcis-21118	289	18	.	.	PUNCT
fcis-21118	290	1	review	review	NOUN
fcis-21118	290	2	of	of	ADP
fcis-21118	290	3	yolo	yolo	ADJ
fcis-21118	290	4	target	target	NOUN
fcis-21118	290	5	detection	detection	NOUN
fcis-21118	290	6	based	base	VERB
fcis-21118	290	7	on	on	ADP
fcis-21118	290	8	deep	deep	ADJ
fcis-21118	290	9	learning	learning	NOUN
fcis-21118	291	1	[	[	X
fcis-21118	291	2	j	j	X
fcis-21118	291	3	]	]	X
fcis-21118	291	4	.	.	PUNCT
fcis-21118	292	1	journal	journal	PROPN
fcis-21118	292	2	of	of	ADP
fcis-21118	292	3	electronics	electronic	NOUN
fcis-21118	292	4	and	and	CCONJ
fcis-21118	292	5	information	information	NOUN
fcis-21118	292	6	,	,	PUNCT
fcis-21118	292	7	2022	2022	NUM
fcis-21118	292	8	,	,	PUNCT
fcis-21118	292	9	44	44	NUM
fcis-21118	292	10	(	(	PUNCT
fcis-21118	292	11	10	10	NUM
fcis-21118	292	12	):	):	PUNCT
fcis-21118	292	13	3697	3697	NUM
fcis-21118	292	14	-	-	SYM
fcis-21118	292	15	370	370	NUM
fcis-21118	292	16	.	.	PUNCT