id	sid	tid	token	lemma	pos
ajst-4122	1	1	academic	academic	ADJ
ajst-4122	1	2	journal	journal	NOUN
ajst-4122	1	3	of	of	ADP
ajst-4122	1	4	science	science	NOUN
ajst-4122	1	5	and	and	CCONJ
ajst-4122	1	6	technology	technology	NOUN
ajst-4122	1	7	issn	issn	NOUN
ajst-4122	1	8	:	:	PUNCT
ajst-4122	1	9	2771	2771	NUM
ajst-4122	1	10	-	-	SYM
ajst-4122	1	11	3032	3032	NUM
ajst-4122	1	12	|	|	NOUN
ajst-4122	1	13	vol	vol	NOUN
ajst-4122	1	14	.	.	PROPN
ajst-4122	2	1	4	4	NUM
ajst-4122	2	2	,	,	PUNCT
ajst-4122	2	3	no	no	INTJ
ajst-4122	2	4	.	.	NOUN
ajst-4122	2	5	2	2	NUM
ajst-4122	2	6	,	,	PUNCT
ajst-4122	2	7	2022	2022	NUM
ajst-4122	2	8	129	129	NUM
ajst-4122	2	9	a	a	DET
ajst-4122	2	10	faster	fast	ADJ
ajst-4122	2	11	rcnn	rcnn	NOUN
ajst-4122	2	12	airport	airport	NOUN
ajst-4122	2	13	pavement	pavement	NOUN
ajst-4122	2	14	crack	crack	NOUN
ajst-4122	2	15	detection	detection	NOUN
ajst-4122	2	16	method	method	NOUN
ajst-4122	2	17	based	base	VERB
ajst-4122	2	18	on	on	ADP
ajst-4122	2	19	attention	attention	NOUN
ajst-4122	2	20	mechanism	mechanism	NOUN
ajst-4122	2	21	shougang	shougang	PROPN
ajst-4122	2	22	hao1	hao1	PROPN
ajst-4122	2	23	,	,	PUNCT
ajst-4122	2	24	2	2	NUM
ajst-4122	2	25	,	,	PUNCT
ajst-4122	2	26	liming	lime	VERB
ajst-4122	2	27	shao1	shao1	NOUN
ajst-4122	2	28	,	,	PUNCT
ajst-4122	2	29	2	2	NUM
ajst-4122	2	30	,	,	PUNCT
ajst-4122	2	31	sibo	sibo	PROPN
ajst-4122	2	32	wang1	wang1	PROPN
ajst-4122	2	33	,	,	PUNCT
ajst-4122	2	34	2	2	NUM
ajst-4122	2	35	1the	1the	PROPN
ajst-4122	2	36	second	second	ADJ
ajst-4122	2	37	research	research	NOUN
ajst-4122	2	38	institute	institute	PROPN
ajst-4122	2	39	of	of	ADP
ajst-4122	2	40	caac	caac	PROPN
ajst-4122	2	41	,	,	PUNCT
ajst-4122	2	42	chengdu	chengdu	PROPN
ajst-4122	2	43	610000	610000	NUM
ajst-4122	2	44	,	,	PUNCT
ajst-4122	2	45	china	china	PROPN
ajst-4122	2	46	2civil	2civil	NUM
ajst-4122	2	47	aviation	aviation	NOUN
ajst-4122	2	48	electronic	electronic	ADJ
ajst-4122	2	49	technology	technology	PROPN
ajst-4122	2	50	co.	co.	PROPN
ajst-4122	2	51	,	,	PUNCT
ajst-4122	2	52	ltd	ltd	PROPN
ajst-4122	2	53	.	.	PROPN
ajst-4122	2	54	,	,	PUNCT
ajst-4122	2	55	chengdu	chengdu	PROPN
ajst-4122	2	56	610000	610000	NUM
ajst-4122	2	57	,	,	PUNCT
ajst-4122	2	58	china	china	PROPN
ajst-4122	2	59	abstract	abstract	NOUN
ajst-4122	2	60	:	:	PUNCT
ajst-4122	2	61	airport	airport	NOUN
ajst-4122	2	62	pavement	pavement	NOUN
ajst-4122	2	63	inspection	inspection	NOUN
ajst-4122	2	64	is	be	AUX
ajst-4122	2	65	an	an	DET
ajst-4122	2	66	important	important	ADJ
ajst-4122	2	67	link	link	NOUN
ajst-4122	2	68	to	to	PART
ajst-4122	2	69	ensure	ensure	VERB
ajst-4122	2	70	the	the	DET
ajst-4122	2	71	safe	safe	ADJ
ajst-4122	2	72	takeoff	takeoff	NOUN
ajst-4122	2	73	and	and	CCONJ
ajst-4122	2	74	landing	landing	NOUN
ajst-4122	2	75	of	of	ADP
ajst-4122	2	76	aircraft	aircraft	NOUN
ajst-4122	2	77	.	.	PUNCT
ajst-4122	3	1	at	at	ADP
ajst-4122	3	2	present	present	ADJ
ajst-4122	3	3	,	,	PUNCT
ajst-4122	3	4	the	the	DET
ajst-4122	3	5	airport	airport	NOUN
ajst-4122	3	6	pavement	pavement	NOUN
ajst-4122	3	7	safety	safety	NOUN
ajst-4122	3	8	inspection	inspection	NOUN
ajst-4122	3	9	is	be	AUX
ajst-4122	3	10	still	still	ADV
ajst-4122	3	11	dominated	dominate	VERB
ajst-4122	3	12	by	by	ADP
ajst-4122	3	13	manual	manual	ADJ
ajst-4122	3	14	inspection	inspection	NOUN
ajst-4122	3	15	.	.	PUNCT
ajst-4122	4	1	this	this	DET
ajst-4122	4	2	method	method	NOUN
ajst-4122	4	3	has	have	VERB
ajst-4122	4	4	some	some	DET
ajst-4122	4	5	problems	problem	NOUN
ajst-4122	4	6	such	such	ADJ
ajst-4122	4	7	as	as	ADP
ajst-4122	4	8	low	low	ADJ
ajst-4122	4	9	detection	detection	NOUN
ajst-4122	4	10	efficiency	efficiency	NOUN
ajst-4122	4	11	,	,	PUNCT
ajst-4122	4	12	strong	strong	ADJ
ajst-4122	4	13	subjectivity	subjectivity	NOUN
ajst-4122	4	14	,	,	PUNCT
ajst-4122	4	15	and	and	CCONJ
ajst-4122	4	16	unable	unable	ADJ
ajst-4122	4	17	to	to	PART
ajst-4122	4	18	fully	fully	ADV
ajst-4122	4	19	cover	cover	VERB
ajst-4122	4	20	.	.	PUNCT
ajst-4122	5	1	in	in	ADP
ajst-4122	5	2	this	this	DET
ajst-4122	5	3	context	context	NOUN
ajst-4122	5	4	,	,	PUNCT
ajst-4122	5	5	faster	fast	ADJ
ajst-4122	5	6	rcnn	rcnn	PROPN
ajst-4122	5	7	network	network	PROPN
ajst-4122	5	8	was	be	AUX
ajst-4122	5	9	used	use	VERB
ajst-4122	5	10	for	for	ADP
ajst-4122	5	11	tunnel	tunnel	NOUN
ajst-4122	5	12	crack	crack	NOUN
ajst-4122	5	13	detection	detection	NOUN
ajst-4122	5	14	,	,	PUNCT
ajst-4122	5	15	the	the	DET
ajst-4122	5	16	backbone	backbone	NOUN
ajst-4122	5	17	network	network	NOUN
ajst-4122	5	18	of	of	ADP
ajst-4122	5	19	faster	fast	ADJ
ajst-4122	5	20	rcnn	rcnn	PROPN
ajst-4122	5	21	was	be	AUX
ajst-4122	5	22	modified	modify	VERB
ajst-4122	5	23	,	,	PUNCT
ajst-4122	5	24	the	the	DET
ajst-4122	5	25	lightweight	lightweight	ADJ
ajst-4122	5	26	network	network	NOUN
ajst-4122	5	27	mobilenetv2	mobilenetv2	PROPN
ajst-4122	5	28	was	be	AUX
ajst-4122	5	29	used	use	VERB
ajst-4122	5	30	to	to	PART
ajst-4122	5	31	improve	improve	VERB
ajst-4122	5	32	the	the	DET
ajst-4122	5	33	network	network	NOUN
ajst-4122	5	34	training	training	NOUN
ajst-4122	5	35	speed	speed	NOUN
ajst-4122	5	36	,	,	PUNCT
ajst-4122	5	37	and	and	CCONJ
ajst-4122	5	38	cbam	cbam	NOUN
ajst-4122	5	39	attention	attention	NOUN
ajst-4122	5	40	mechanism	mechanism	NOUN
ajst-4122	5	41	was	be	AUX
ajst-4122	5	42	added	add	VERB
ajst-4122	5	43	to	to	PART
ajst-4122	5	44	improve	improve	VERB
ajst-4122	5	45	the	the	DET
ajst-4122	5	46	feature	feature	NOUN
ajst-4122	5	47	extraction	extraction	NOUN
ajst-4122	5	48	ability	ability	NOUN
ajst-4122	5	49	of	of	ADP
ajst-4122	5	50	the	the	DET
ajst-4122	5	51	model	model	NOUN
ajst-4122	5	52	.	.	PUNCT
ajst-4122	6	1	keywords	keyword	NOUN
ajst-4122	6	2	:	:	PUNCT
ajst-4122	6	3	faster	fast	ADJ
ajst-4122	6	4	rcnn	rcnn	PROPN
ajst-4122	6	5	,	,	PUNCT
ajst-4122	6	6	mobilenetv2	mobilenetv2	PROPN
ajst-4122	6	7	,	,	PUNCT
ajst-4122	6	8	cbam	cbam	NOUN
ajst-4122	6	9	.	.	PUNCT
ajst-4122	7	1	1	1	X
ajst-4122	7	2	.	.	X
ajst-4122	7	3	introduction	introduction	NOUN
ajst-4122	7	4	at	at	ADP
ajst-4122	7	5	present	present	ADJ
ajst-4122	7	6	,	,	PUNCT
ajst-4122	7	7	our	our	PRON
ajst-4122	7	8	country	country	NOUN
ajst-4122	7	9	is	be	AUX
ajst-4122	7	10	accelerating	accelerate	VERB
ajst-4122	7	11	the	the	DET
ajst-4122	7	12	implementation	implementation	NOUN
ajst-4122	7	13	of	of	ADP
ajst-4122	7	14	the	the	DET
ajst-4122	7	15	strategic	strategic	ADJ
ajst-4122	7	16	goal	goal	NOUN
ajst-4122	7	17	of	of	ADP
ajst-4122	7	18	building	build	VERB
ajst-4122	7	19	civil	civil	ADJ
ajst-4122	7	20	aviation	aviation	NOUN
ajst-4122	7	21	power	power	NOUN
ajst-4122	7	22	,	,	PUNCT
ajst-4122	7	23	gradually	gradually	ADV
ajst-4122	7	24	realizing	realize	VERB
ajst-4122	7	25	the	the	DET
ajst-4122	7	26	transformation	transformation	NOUN
ajst-4122	7	27	from	from	ADP
ajst-4122	7	28	civil	civil	ADJ
ajst-4122	7	29	aviation	aviation	NOUN
ajst-4122	7	30	power	power	NOUN
ajst-4122	7	31	to	to	ADP
ajst-4122	7	32	power	power	NOUN
ajst-4122	7	33	.	.	PUNCT
ajst-4122	8	1	airport	airport	NOUN
ajst-4122	8	2	runway	runway	NOUN
ajst-4122	8	3	is	be	AUX
ajst-4122	8	4	one	one	NUM
ajst-4122	8	5	of	of	ADP
ajst-4122	8	6	the	the	DET
ajst-4122	8	7	key	key	ADJ
ajst-4122	8	8	points	point	NOUN
ajst-4122	8	9	of	of	ADP
ajst-4122	8	10	airport	airport	NOUN
ajst-4122	8	11	construction	construction	NOUN
ajst-4122	8	12	.	.	PUNCT
ajst-4122	9	1	the	the	DET
ajst-4122	9	2	runway	runway	PROPN
ajst-4122	9	3	surface	surface	NOUN
ajst-4122	9	4	of	of	ADP
ajst-4122	9	5	airport	airport	NOUN
ajst-4122	9	6	carries	carry	VERB
ajst-4122	9	7	aircraft	aircraft	NOUN
ajst-4122	9	8	takeoff	takeoff	NOUN
ajst-4122	9	9	and	and	CCONJ
ajst-4122	9	10	landing	landing	NOUN
ajst-4122	9	11	,	,	PUNCT
ajst-4122	9	12	and	and	CCONJ
ajst-4122	9	13	the	the	DET
ajst-4122	9	14	quality	quality	NOUN
ajst-4122	9	15	of	of	ADP
ajst-4122	9	16	the	the	DET
ajst-4122	9	17	runway	runway	NOUN
ajst-4122	9	18	surface	surface	NOUN
ajst-4122	9	19	directly	directly	ADV
ajst-4122	9	20	affects	affect	VERB
ajst-4122	9	21	the	the	DET
ajst-4122	9	22	safety	safety	NOUN
ajst-4122	9	23	of	of	ADP
ajst-4122	9	24	aircraft	aircraft	NOUN
ajst-4122	9	25	takeoff	takeoff	NOUN
ajst-4122	9	26	and	and	CCONJ
ajst-4122	9	27	landing	landing	NOUN
ajst-4122	9	28	.	.	PUNCT
ajst-4122	10	1	cracks	crack	NOUN
ajst-4122	10	2	belong	belong	VERB
ajst-4122	10	3	to	to	ADP
ajst-4122	10	4	one	one	NUM
ajst-4122	10	5	of	of	ADP
ajst-4122	10	6	the	the	DET
ajst-4122	10	7	apparent	apparent	ADJ
ajst-4122	10	8	structural	structural	ADJ
ajst-4122	10	9	diseases	disease	NOUN
ajst-4122	10	10	in	in	ADP
ajst-4122	10	11	the	the	DET
ajst-4122	10	12	airport	airport	NOUN
ajst-4122	10	13	pavement	pavement	NOUN
ajst-4122	10	14	.	.	PUNCT
ajst-4122	11	1	if	if	SCONJ
ajst-4122	11	2	not	not	PART
ajst-4122	11	3	treated	treat	VERB
ajst-4122	11	4	in	in	ADP
ajst-4122	11	5	time	time	NOUN
ajst-4122	11	6	,	,	PUNCT
ajst-4122	11	7	it	it	PRON
ajst-4122	11	8	will	will	AUX
ajst-4122	11	9	shorten	shorten	VERB
ajst-4122	11	10	the	the	DET
ajst-4122	11	11	life	life	NOUN
ajst-4122	11	12	of	of	ADP
ajst-4122	11	13	the	the	DET
ajst-4122	11	14	pavement	pavement	NOUN
ajst-4122	11	15	with	with	ADP
ajst-4122	11	16	the	the	DET
ajst-4122	11	17	passage	passage	NOUN
ajst-4122	11	18	of	of	ADP
ajst-4122	11	19	time	time	NOUN
ajst-4122	11	20	,	,	PUNCT
ajst-4122	11	21	rain	rain	NOUN
ajst-4122	11	22	and	and	CCONJ
ajst-4122	11	23	snow	snow	NOUN
ajst-4122	11	24	and	and	CCONJ
ajst-4122	11	25	other	other	ADJ
ajst-4122	11	26	weather	weather	NOUN
ajst-4122	11	27	influences	influence	NOUN
ajst-4122	11	28	,	,	PUNCT
ajst-4122	11	29	which	which	PRON
ajst-4122	11	30	will	will	AUX
ajst-4122	11	31	have	have	VERB
ajst-4122	11	32	adverse	adverse	ADJ
ajst-4122	11	33	effects	effect	NOUN
ajst-4122	11	34	on	on	ADP
ajst-4122	11	35	the	the	DET
ajst-4122	11	36	takeoff	takeoff	NOUN
ajst-4122	11	37	and	and	CCONJ
ajst-4122	11	38	landing	landing	NOUN
ajst-4122	11	39	of	of	ADP
ajst-4122	11	40	aircraft	aircraft	NOUN
ajst-4122	11	41	and	and	CCONJ
ajst-4122	11	42	threaten	threaten	VERB
ajst-4122	11	43	the	the	DET
ajst-4122	11	44	operation	operation	NOUN
ajst-4122	11	45	safety	safety	NOUN
ajst-4122	11	46	of	of	ADP
ajst-4122	11	47	aircraft	aircraft	NOUN
ajst-4122	11	48	.	.	PUNCT
ajst-4122	12	1	if	if	SCONJ
ajst-4122	12	2	cracks	crack	NOUN
ajst-4122	12	3	are	be	AUX
ajst-4122	12	4	detected	detect	VERB
ajst-4122	12	5	and	and	CCONJ
ajst-4122	12	6	repaired	repair	VERB
ajst-4122	12	7	before	before	SCONJ
ajst-4122	12	8	other	other	ADJ
ajst-4122	12	9	cracks	crack	NOUN
ajst-4122	12	10	develop	develop	VERB
ajst-4122	12	11	,	,	PUNCT
ajst-4122	12	12	more	more	ADV
ajst-4122	12	13	serious	serious	ADJ
ajst-4122	12	14	damage	damage	NOUN
ajst-4122	12	15	to	to	ADP
ajst-4122	12	16	the	the	DET
ajst-4122	12	17	pavement	pavement	NOUN
ajst-4122	12	18	can	can	AUX
ajst-4122	12	19	be	be	AUX
ajst-4122	12	20	prevented	prevent	VERB
ajst-4122	12	21	.	.	PUNCT
ajst-4122	13	1	at	at	ADP
ajst-4122	13	2	present	present	ADJ
ajst-4122	13	3	,	,	PUNCT
ajst-4122	13	4	the	the	DET
ajst-4122	13	5	detection	detection	NOUN
ajst-4122	13	6	of	of	ADP
ajst-4122	13	7	pavement	pavement	NOUN
ajst-4122	13	8	cracks	crack	NOUN
ajst-4122	13	9	in	in	ADP
ajst-4122	13	10	the	the	DET
ajst-4122	13	11	airport	airport	NOUN
ajst-4122	13	12	is	be	AUX
ajst-4122	13	13	still	still	ADV
ajst-4122	13	14	based	base	VERB
ajst-4122	13	15	on	on	ADP
ajst-4122	13	16	the	the	DET
ajst-4122	13	17	traditional	traditional	ADJ
ajst-4122	13	18	manual	manual	ADJ
ajst-4122	13	19	inspection	inspection	NOUN
ajst-4122	13	20	.	.	PUNCT
ajst-4122	14	1	after	after	ADP
ajst-4122	14	2	the	the	DET
ajst-4122	14	3	manual	manual	ADJ
ajst-4122	14	4	inspection	inspection	NOUN
ajst-4122	14	5	,	,	PUNCT
ajst-4122	14	6	the	the	DET
ajst-4122	14	7	problem	problem	NOUN
ajst-4122	14	8	of	of	ADP
ajst-4122	14	9	pavement	pavement	NOUN
ajst-4122	14	10	cracks	crack	NOUN
ajst-4122	14	11	is	be	AUX
ajst-4122	14	12	found	find	VERB
ajst-4122	14	13	and	and	CCONJ
ajst-4122	14	14	the	the	DET
ajst-4122	14	15	information	information	NOUN
ajst-4122	14	16	is	be	AUX
ajst-4122	14	17	recorded	record	VERB
ajst-4122	14	18	by	by	ADP
ajst-4122	14	19	taking	take	VERB
ajst-4122	14	20	photos	photo	NOUN
ajst-4122	14	21	manually	manually	ADV
ajst-4122	14	22	.	.	PUNCT
ajst-4122	15	1	this	this	DET
ajst-4122	15	2	type	type	NOUN
ajst-4122	15	3	of	of	ADP
ajst-4122	15	4	inspection	inspection	NOUN
ajst-4122	15	5	often	often	ADV
ajst-4122	15	6	requires	require	VERB
ajst-4122	15	7	a	a	DET
ajst-4122	15	8	large	large	ADJ
ajst-4122	15	9	amount	amount	NOUN
ajst-4122	15	10	of	of	ADP
ajst-4122	15	11	manpower	manpower	NOUN
ajst-4122	15	12	and	and	CCONJ
ajst-4122	15	13	material	material	NOUN
ajst-4122	15	14	resources	resource	NOUN
ajst-4122	15	15	to	to	PART
ajst-4122	15	16	complete	complete	VERB
ajst-4122	15	17	,	,	PUNCT
ajst-4122	15	18	and	and	CCONJ
ajst-4122	15	19	is	be	AUX
ajst-4122	15	20	subject	subject	ADJ
ajst-4122	15	21	to	to	ADP
ajst-4122	15	22	subjective	subjective	ADJ
ajst-4122	15	23	factors	factor	NOUN
ajst-4122	15	24	.	.	PUNCT
ajst-4122	16	1	with	with	ADP
ajst-4122	16	2	the	the	DET
ajst-4122	16	3	development	development	NOUN
ajst-4122	16	4	of	of	ADP
ajst-4122	16	5	science	science	NOUN
ajst-4122	16	6	and	and	CCONJ
ajst-4122	16	7	technology	technology	NOUN
ajst-4122	16	8	,	,	PUNCT
ajst-4122	16	9	the	the	DET
ajst-4122	16	10	use	use	NOUN
ajst-4122	16	11	of	of	ADP
ajst-4122	16	12	computer	computer	NOUN
ajst-4122	16	13	can	can	AUX
ajst-4122	16	14	efficiently	efficiently	ADV
ajst-4122	16	15	and	and	CCONJ
ajst-4122	16	16	accurately	accurately	ADV
ajst-4122	16	17	detect	detect	VERB
ajst-4122	16	18	the	the	DET
ajst-4122	16	19	cracks	crack	NOUN
ajst-4122	16	20	of	of	ADP
ajst-4122	16	21	the	the	DET
ajst-4122	16	22	surface	surface	NOUN
ajst-4122	16	23	,	,	PUNCT
ajst-4122	16	24	so	so	SCONJ
ajst-4122	16	25	as	as	SCONJ
ajst-4122	16	26	to	to	PART
ajst-4122	16	27	prevent	prevent	VERB
ajst-4122	16	28	the	the	DET
ajst-4122	16	29	surface	surface	NOUN
ajst-4122	16	30	diseases	disease	NOUN
ajst-4122	16	31	becoming	become	VERB
ajst-4122	16	32	more	more	ADV
ajst-4122	16	33	and	and	CCONJ
ajst-4122	16	34	more	more	ADV
ajst-4122	16	35	serious	serious	ADJ
ajst-4122	16	36	.	.	PUNCT
ajst-4122	17	1	the	the	DET
ajst-4122	17	2	essence	essence	NOUN
ajst-4122	17	3	of	of	ADP
ajst-4122	17	4	pavement	pavement	NOUN
ajst-4122	17	5	crack	crack	NOUN
ajst-4122	17	6	detection	detection	NOUN
ajst-4122	17	7	is	be	AUX
ajst-4122	17	8	to	to	PART
ajst-4122	17	9	mark	mark	VERB
ajst-4122	17	10	the	the	DET
ajst-4122	17	11	location	location	NOUN
ajst-4122	17	12	and	and	CCONJ
ajst-4122	17	13	category	category	NOUN
ajst-4122	17	14	of	of	ADP
ajst-4122	17	15	the	the	DET
ajst-4122	17	16	disease	disease	NOUN
ajst-4122	17	17	in	in	ADP
ajst-4122	17	18	the	the	DET
ajst-4122	17	19	image	image	NOUN
ajst-4122	17	20	containing	contain	VERB
ajst-4122	17	21	crack	crack	NOUN
ajst-4122	17	22	disease	disease	NOUN
ajst-4122	17	23	.	.	PUNCT
ajst-4122	18	1	according	accord	VERB
ajst-4122	18	2	to	to	ADP
ajst-4122	18	3	the	the	DET
ajst-4122	18	4	nature	nature	NOUN
ajst-4122	18	5	of	of	ADP
ajst-4122	18	6	the	the	DET
ajst-4122	18	7	problem	problem	NOUN
ajst-4122	18	8	,	,	PUNCT
ajst-4122	18	9	it	it	PRON
ajst-4122	18	10	can	can	AUX
ajst-4122	18	11	be	be	AUX
ajst-4122	18	12	classified	classify	VERB
ajst-4122	18	13	as	as	ADP
ajst-4122	18	14	the	the	DET
ajst-4122	18	15	problem	problem	NOUN
ajst-4122	18	16	of	of	ADP
ajst-4122	18	17	target	target	NOUN
ajst-4122	18	18	detection	detection	NOUN
ajst-4122	18	19	,	,	PUNCT
ajst-4122	18	20	that	that	ADV
ajst-4122	18	21	is	is	ADV
ajst-4122	18	22	,	,	PUNCT
ajst-4122	18	23	to	to	PART
ajst-4122	18	24	accurately	accurately	ADV
ajst-4122	18	25	locate	locate	VERB
ajst-4122	18	26	the	the	DET
ajst-4122	18	27	object	object	NOUN
ajst-4122	18	28	with	with	ADP
ajst-4122	18	29	the	the	DET
ajst-4122	18	30	characteristics	characteristic	NOUN
ajst-4122	18	31	of	of	ADP
ajst-4122	18	32	a	a	DET
ajst-4122	18	33	certain	certain	ADJ
ajst-4122	18	34	target	target	NOUN
ajst-4122	18	35	type	type	NOUN
ajst-4122	18	36	from	from	ADP
ajst-4122	18	37	the	the	DET
ajst-4122	18	38	given	give	VERB
ajst-4122	18	39	image	image	NOUN
ajst-4122	18	40	,	,	PUNCT
ajst-4122	18	41	and	and	CCONJ
ajst-4122	18	42	assign	assign	VERB
ajst-4122	18	43	corresponding	correspond	VERB
ajst-4122	18	44	category	category	NOUN
ajst-4122	18	45	labels	label	NOUN
ajst-4122	18	46	to	to	ADP
ajst-4122	18	47	the	the	DET
ajst-4122	18	48	object	object	NOUN
ajst-4122	18	49	.	.	PUNCT
ajst-4122	19	1	with	with	ADP
ajst-4122	19	2	the	the	DET
ajst-4122	19	3	rapid	rapid	ADJ
ajst-4122	19	4	development	development	NOUN
ajst-4122	19	5	of	of	ADP
ajst-4122	19	6	deep	deep	ADJ
ajst-4122	19	7	learning	learning	NOUN
ajst-4122	19	8	in	in	ADP
ajst-4122	19	9	recent	recent	ADJ
ajst-4122	19	10	years	year	NOUN
ajst-4122	19	11	,	,	PUNCT
ajst-4122	19	12	the	the	DET
ajst-4122	19	13	feature	feature	NOUN
ajst-4122	19	14	extraction	extraction	NOUN
ajst-4122	19	15	ability	ability	NOUN
ajst-4122	19	16	of	of	ADP
ajst-4122	19	17	convolutional	convolutional	ADJ
ajst-4122	19	18	neural	neural	ADJ
ajst-4122	19	19	networks	network	NOUN
ajst-4122	19	20	for	for	ADP
ajst-4122	19	21	target	target	NOUN
ajst-4122	19	22	images	image	NOUN
ajst-4122	19	23	has	have	AUX
ajst-4122	19	24	also	also	ADV
ajst-4122	19	25	been	be	AUX
ajst-4122	19	26	greatly	greatly	ADV
ajst-4122	19	27	improved	improve	VERB
ajst-4122	19	28	,	,	PUNCT
ajst-4122	19	29	so	so	CCONJ
ajst-4122	19	30	the	the	DET
ajst-4122	19	31	performance	performance	NOUN
ajst-4122	19	32	of	of	ADP
ajst-4122	19	33	object	object	NOUN
ajst-4122	19	34	detection	detection	NOUN
ajst-4122	19	35	algorithms	algorithm	NOUN
ajst-4122	19	36	based	base	VERB
ajst-4122	19	37	on	on	ADP
ajst-4122	19	38	convolutional	convolutional	ADJ
ajst-4122	19	39	neural	neural	ADJ
ajst-4122	19	40	networks	network	NOUN
ajst-4122	19	41	has	have	AUX
ajst-4122	19	42	been	be	AUX
ajst-4122	19	43	greatly	greatly	ADV
ajst-4122	19	44	improved	improve	VERB
ajst-4122	19	45	compared	compare	VERB
ajst-4122	19	46	with	with	ADP
ajst-4122	19	47	traditional	traditional	ADJ
ajst-4122	19	48	object	object	NOUN
ajst-4122	19	49	detection	detection	NOUN
ajst-4122	19	50	algorithms	algorithm	NOUN
ajst-4122	19	51	.	.	PUNCT
ajst-4122	20	1	using	use	VERB
ajst-4122	20	2	convolutional	convolutional	ADJ
ajst-4122	20	3	neural	neural	ADJ
ajst-4122	20	4	network	network	NOUN
ajst-4122	20	5	technology	technology	NOUN
ajst-4122	20	6	to	to	PART
ajst-4122	20	7	realize	realize	VERB
ajst-4122	20	8	the	the	DET
ajst-4122	20	9	target	target	NOUN
ajst-4122	20	10	detection	detection	NOUN
ajst-4122	20	11	task	task	NOUN
ajst-4122	20	12	of	of	ADP
ajst-4122	20	13	tunnel	tunnel	NOUN
ajst-4122	20	14	surface	surface	NOUN
ajst-4122	20	15	crack	crack	NOUN
ajst-4122	20	16	image	image	NOUN
ajst-4122	20	17	will	will	AUX
ajst-4122	20	18	play	play	VERB
ajst-4122	20	19	a	a	DET
ajst-4122	20	20	substantial	substantial	ADJ
ajst-4122	20	21	role	role	NOUN
ajst-4122	20	22	in	in	ADP
ajst-4122	20	23	solving	solve	VERB
ajst-4122	20	24	the	the	DET
ajst-4122	20	25	problem	problem	NOUN
ajst-4122	20	26	of	of	ADP
ajst-4122	20	27	tunnel	tunnel	NOUN
ajst-4122	20	28	surface	surface	NOUN
ajst-4122	20	29	crack	crack	NOUN
ajst-4122	20	30	detection	detection	NOUN
ajst-4122	20	31	.	.	PUNCT
ajst-4122	21	1	the	the	DET
ajst-4122	21	2	development	development	NOUN
ajst-4122	21	3	of	of	ADP
ajst-4122	21	4	object	object	NOUN
ajst-4122	21	5	detection	detection	NOUN
ajst-4122	21	6	in	in	ADP
ajst-4122	21	7	the	the	DET
ajst-4122	21	8	past	past	ADJ
ajst-4122	21	9	two	two	NUM
ajst-4122	21	10	decades	decade	NOUN
ajst-4122	21	11	can	can	AUX
ajst-4122	21	12	be	be	AUX
ajst-4122	21	13	roughly	roughly	ADV
ajst-4122	21	14	divided	divide	VERB
ajst-4122	21	15	into	into	ADP
ajst-4122	21	16	two	two	NUM
ajst-4122	21	17	historical	historical	ADJ
ajst-4122	21	18	periods	period	NOUN
ajst-4122	21	19	:	:	PUNCT
ajst-4122	21	20	the	the	DET
ajst-4122	21	21	"	"	PUNCT
ajst-4122	21	22	traditional	traditional	ADJ
ajst-4122	21	23	object	object	NOUN
ajst-4122	21	24	detection	detection	NOUN
ajst-4122	21	25	period	period	NOUN
ajst-4122	21	26	"	"	PUNCT
ajst-4122	21	27	before	before	ADP
ajst-4122	21	28	2014	2014	NUM
ajst-4122	21	29	and	and	CCONJ
ajst-4122	21	30	the	the	DET
ajst-4122	21	31	"	"	PUNCT
ajst-4122	21	32	deep	deep	ADJ
ajst-4122	21	33	learningbased	learningbased	ADJ
ajst-4122	21	34	object	object	NOUN
ajst-4122	21	35	detection	detection	NOUN
ajst-4122	21	36	period	period	NOUN
ajst-4122	21	37	"	"	PUNCT
ajst-4122	21	38	after	after	ADP
ajst-4122	21	39	2014	2014	NUM
ajst-4122	21	40	.	.	PUNCT
ajst-4122	22	1	in	in	ADP
ajst-4122	22	2	the	the	DET
ajst-4122	22	3	period	period	NOUN
ajst-4122	22	4	of	of	ADP
ajst-4122	22	5	deep	deep	ADJ
ajst-4122	22	6	learning	learning	NOUN
ajst-4122	22	7	,	,	PUNCT
ajst-4122	22	8	object	object	VERB
ajst-4122	22	9	detection	detection	NOUN
ajst-4122	22	10	based	base	VERB
ajst-4122	22	11	on	on	ADP
ajst-4122	22	12	deep	deep	ADJ
ajst-4122	22	13	learning	learning	NOUN
ajst-4122	22	14	can	can	AUX
ajst-4122	22	15	be	be	AUX
ajst-4122	22	16	divided	divide	VERB
ajst-4122	22	17	into	into	ADP
ajst-4122	22	18	two	two	NUM
ajst-4122	22	19	categories	category	NOUN
ajst-4122	22	20	:	:	PUNCT
ajst-4122	22	21	"	"	PUNCT
ajst-4122	22	22	two	two	NUM
ajst-4122	22	23	-	-	PUNCT
ajst-4122	22	24	stage	stage	NOUN
ajst-4122	22	25	detection	detection	NOUN
ajst-4122	22	26	"	"	PUNCT
ajst-4122	22	27	and	and	CCONJ
ajst-4122	22	28	"	"	PUNCT
ajst-4122	22	29	single	single	ADJ
ajst-4122	22	30	-	-	PUNCT
ajst-4122	22	31	stage	stage	NOUN
ajst-4122	22	32	detection	detection	NOUN
ajst-4122	22	33	"	"	PUNCT
ajst-4122	22	34	.	.	PUNCT
ajst-4122	23	1	the	the	DET
ajst-4122	23	2	two	two	NUM
ajst-4122	23	3	-	-	PUNCT
ajst-4122	23	4	stage	stage	NOUN
ajst-4122	23	5	detection	detection	NOUN
ajst-4122	23	6	algorithm	algorithm	NOUN
ajst-4122	23	7	divides	divide	VERB
ajst-4122	23	8	the	the	DET
ajst-4122	23	9	detection	detection	NOUN
ajst-4122	23	10	task	task	NOUN
ajst-4122	23	11	into	into	ADP
ajst-4122	23	12	suggestion	suggestion	NOUN
ajst-4122	23	13	generation	generation	NOUN
ajst-4122	23	14	stage	stage	NOUN
ajst-4122	23	15	and	and	CCONJ
ajst-4122	23	16	region	region	NOUN
ajst-4122	23	17	classification	classification	NOUN
ajst-4122	23	18	stage	stage	NOUN
ajst-4122	23	19	,	,	PUNCT
ajst-4122	23	20	which	which	PRON
ajst-4122	23	21	is	be	AUX
ajst-4122	23	22	a	a	DET
ajst-4122	23	23	process	process	NOUN
ajst-4122	23	24	from	from	ADP
ajst-4122	23	25	rough	rough	ADJ
ajst-4122	23	26	to	to	ADP
ajst-4122	23	27	fine	fine	ADJ
ajst-4122	23	28	.	.	PUNCT
ajst-4122	24	1	two	two	NUM
ajst-4122	24	2	-	-	PUNCT
ajst-4122	24	3	stage	stage	NOUN
ajst-4122	24	4	detection	detection	NOUN
ajst-4122	24	5	is	be	AUX
ajst-4122	24	6	characterized	characterize	VERB
ajst-4122	24	7	by	by	ADP
ajst-4122	24	8	high	high	ADJ
ajst-4122	24	9	precision	precision	NOUN
ajst-4122	24	10	,	,	PUNCT
ajst-4122	24	11	but	but	CCONJ
ajst-4122	24	12	relatively	relatively	ADV
ajst-4122	24	13	slow	slow	ADJ
ajst-4122	24	14	detection	detection	NOUN
ajst-4122	24	15	speed	speed	NOUN
ajst-4122	24	16	.	.	PUNCT
ajst-4122	25	1	typical	typical	ADJ
ajst-4122	25	2	two	two	NUM
ajst-4122	25	3	-	-	PUNCT
ajst-4122	25	4	stage	stage	NOUN
ajst-4122	25	5	target	target	NOUN
ajst-4122	25	6	detection	detection	NOUN
ajst-4122	25	7	methods	method	NOUN
ajst-4122	25	8	include	include	VERB
ajst-4122	25	9	rcnn	rcnn	PROPN
ajst-4122	25	10	,	,	PUNCT
ajst-4122	25	11	sppnet	sppnet	PROPN
ajst-4122	25	12	,	,	PUNCT
ajst-4122	25	13	fast	fast	ADJ
ajst-4122	25	14	rcnn	rcnn	NOUN
ajst-4122	25	15	,	,	PUNCT
ajst-4122	25	16	faster	fast	ADJ
ajst-4122	25	17	rcnn	rcnn	PROPN
ajst-4122	25	18	,	,	PUNCT
ajst-4122	25	19	etc	etc	X
ajst-4122	25	20	.	.	X
ajst-4122	26	1	the	the	DET
ajst-4122	26	2	target	target	NOUN
ajst-4122	26	3	detection	detection	NOUN
ajst-4122	26	4	method	method	NOUN
ajst-4122	26	5	of	of	ADP
ajst-4122	26	6	rcnn	rcnn	PROPN
ajst-4122	26	7	was	be	AUX
ajst-4122	26	8	proposed	propose	VERB
ajst-4122	26	9	by	by	ADP
ajst-4122	26	10	girshick	girshick	NOUN
ajst-4122	26	11	in	in	ADP
ajst-4122	26	12	2014	2014	NUM
ajst-4122	26	13	.	.	PUNCT
ajst-4122	27	1	by	by	ADP
ajst-4122	27	2	combining	combine	VERB
ajst-4122	27	3	the	the	DET
ajst-4122	27	4	classification	classification	NOUN
ajst-4122	27	5	method	method	NOUN
ajst-4122	27	6	of	of	ADP
ajst-4122	27	7	svm	svm	ADJ
ajst-4122	27	8	classifier	classifier	NOUN
ajst-4122	27	9	and	and	CCONJ
ajst-4122	27	10	linear	linear	PROPN
ajst-4122	27	11	regression	regression	NOUN
ajst-4122	27	12	,	,	PUNCT
ajst-4122	27	13	this	this	DET
ajst-4122	27	14	method	method	NOUN
ajst-4122	27	15	proposed	propose	VERB
ajst-4122	27	16	the	the	DET
ajst-4122	27	17	location	location	NOUN
ajst-4122	27	18	extraction	extraction	NOUN
ajst-4122	27	19	algorithm	algorithm	NOUN
ajst-4122	27	20	of	of	ADP
ajst-4122	27	21	the	the	DET
ajst-4122	27	22	target	target	NOUN
ajst-4122	27	23	object	object	NOUN
ajst-4122	27	24	of	of	ADP
ajst-4122	27	25	r	r	NOUN
ajst-4122	27	26	-	-	PUNCT
ajst-4122	27	27	cnn	cnn	PROPN
ajst-4122	27	28	network	network	NOUN
ajst-4122	27	29	model	model	NOUN
ajst-4122	27	30	.	.	PUNCT
ajst-4122	28	1	the	the	DET
ajst-4122	28	2	results	result	NOUN
ajst-4122	28	3	show	show	VERB
ajst-4122	28	4	that	that	SCONJ
ajst-4122	28	5	rcnn	rcnn	PROPN
ajst-4122	28	6	can	can	AUX
ajst-4122	28	7	effectively	effectively	ADV
ajst-4122	28	8	improve	improve	VERB
ajst-4122	28	9	the	the	DET
ajst-4122	28	10	accuracy	accuracy	NOUN
ajst-4122	28	11	of	of	ADP
ajst-4122	28	12	target	target	NOUN
ajst-4122	28	13	detection	detection	NOUN
ajst-4122	28	14	,	,	PUNCT
ajst-4122	28	15	but	but	CCONJ
ajst-4122	28	16	it	it	PRON
ajst-4122	28	17	also	also	ADV
ajst-4122	28	18	has	have	VERB
ajst-4122	28	19	some	some	DET
ajst-4122	28	20	defects	defect	NOUN
ajst-4122	28	21	such	such	ADJ
ajst-4122	28	22	as	as	ADP
ajst-4122	28	23	tedious	tedious	ADJ
ajst-4122	28	24	steps	step	NOUN
ajst-4122	28	25	,	,	PUNCT
ajst-4122	28	26	long	long	ADJ
ajst-4122	28	27	model	model	NOUN
ajst-4122	28	28	training	training	NOUN
ajst-4122	28	29	time	time	NOUN
ajst-4122	28	30	and	and	CCONJ
ajst-4122	28	31	slow	slow	ADJ
ajst-4122	28	32	detection	detection	NOUN
ajst-4122	28	33	speed	speed	NOUN
ajst-4122	28	34	.	.	PUNCT
ajst-4122	29	1	girshick	girshick	PROPN
ajst-4122	29	2	also	also	ADV
ajst-4122	29	3	proposed	propose	VERB
ajst-4122	29	4	fast	fast	ADJ
ajst-4122	29	5	rcnn	rcnn	PROPN
ajst-4122	29	6	algorithm	algorithm	PROPN
ajst-4122	29	7	based	base	VERB
ajst-4122	29	8	on	on	ADP
ajst-4122	29	9	roi	roi	NOUN
ajst-4122	29	10	pooling	pooling	NOUN
ajst-4122	29	11	layer	layer	NOUN
ajst-4122	29	12	in	in	ADP
ajst-4122	29	13	2015	2015	NUM
ajst-4122	29	14	,	,	PUNCT
ajst-4122	29	15	which	which	PRON
ajst-4122	29	16	carried	carry	VERB
ajst-4122	29	17	out	out	ADP
ajst-4122	29	18	target	target	NOUN
ajst-4122	29	19	detection	detection	NOUN
ajst-4122	29	20	and	and	CCONJ
ajst-4122	29	21	recognition	recognition	NOUN
ajst-4122	29	22	by	by	ADP
ajst-4122	29	23	changing	change	VERB
ajst-4122	29	24	the	the	DET
ajst-4122	29	25	number	number	NOUN
ajst-4122	29	26	of	of	ADP
ajst-4122	29	27	output	output	NOUN
ajst-4122	29	28	layers	layer	NOUN
ajst-4122	29	29	.	.	PUNCT
ajst-4122	30	1	fast	fast	ADJ
ajst-4122	30	2	rcnn	rcnn	PROPN
ajst-4122	30	3	algorithm	algorithm	PROPN
ajst-4122	30	4	is	be	AUX
ajst-4122	30	5	simple	simple	ADJ
ajst-4122	30	6	to	to	PART
ajst-4122	30	7	operate	operate	VERB
ajst-4122	30	8	,	,	PUNCT
ajst-4122	30	9	but	but	CCONJ
ajst-4122	30	10	it	it	PRON
ajst-4122	30	11	still	still	ADV
ajst-4122	30	12	has	have	VERB
ajst-4122	30	13	the	the	DET
ajst-4122	30	14	defects	defect	NOUN
ajst-4122	30	15	of	of	ADP
ajst-4122	30	16	long	long	ADJ
ajst-4122	30	17	time	time	NOUN
ajst-4122	30	18	and	and	CCONJ
ajst-4122	30	19	low	low	ADJ
ajst-4122	30	20	efficiency	efficiency	NOUN
ajst-4122	30	21	.	.	PUNCT
ajst-4122	31	1	in	in	ADP
ajst-4122	31	2	the	the	DET
ajst-4122	31	3	same	same	ADJ
ajst-4122	31	4	year	year	NOUN
ajst-4122	31	5	that	that	PRON
ajst-4122	31	6	fast	fast	ADJ
ajst-4122	31	7	rcnn	rcnn	PROPN
ajst-4122	31	8	was	be	AUX
ajst-4122	31	9	proposed	propose	VERB
ajst-4122	31	10	,	,	PUNCT
ajst-4122	31	11	ren	ren	PROPN
ajst-4122	31	12	proposed	propose	VERB
ajst-4122	31	13	faster	fast	ADV
ajst-4122	31	14	rcnn	rcnn	PROPN
ajst-4122	31	15	.	.	PUNCT
ajst-4122	32	1	by	by	ADP
ajst-4122	32	2	introducing	introduce	VERB
ajst-4122	32	3	rpn	rpn	PROPN
ajst-4122	32	4	,	,	PUNCT
ajst-4122	32	5	this	this	DET
ajst-4122	32	6	algorithm	algorithm	NOUN
ajst-4122	32	7	solves	solve	VERB
ajst-4122	32	8	the	the	DET
ajst-4122	32	9	problems	problem	NOUN
ajst-4122	32	10	existing	exist	VERB
ajst-4122	32	11	in	in	ADP
ajst-4122	32	12	rcnn	rcnn	NOUN
ajst-4122	32	13	and	and	CCONJ
ajst-4122	32	14	fast	fast	ADJ
ajst-4122	32	15	rcnn	rcnn	NOUN
ajst-4122	32	16	,	,	PUNCT
ajst-4122	32	17	and	and	CCONJ
ajst-4122	32	18	extracts	extract	NOUN
ajst-4122	32	19	candidate	candidate	NOUN
ajst-4122	32	20	areas	area	NOUN
ajst-4122	32	21	within	within	ADP
ajst-4122	32	22	the	the	DET
ajst-4122	32	23	whole	whole	ADJ
ajst-4122	32	24	network	network	NOUN
ajst-4122	32	25	,	,	PUNCT
ajst-4122	32	26	realizing	realize	VERB
ajst-4122	32	27	end	end	NOUN
ajst-4122	32	28	-	-	PUNCT
ajst-4122	32	29	to	to	ADP
ajst-4122	32	30	-	-	PUNCT
ajst-4122	32	31	end	end	NOUN
ajst-4122	32	32	calculation	calculation	NOUN
ajst-4122	32	33	in	in	ADP
ajst-4122	32	34	a	a	DET
ajst-4122	32	35	real	real	ADJ
ajst-4122	32	36	sense	sense	NOUN
ajst-4122	32	37	,	,	PUNCT
ajst-4122	32	38	and	and	CCONJ
ajst-4122	32	39	greatly	greatly	ADV
ajst-4122	32	40	improving	improve	VERB
ajst-4122	32	41	the	the	DET
ajst-4122	32	42	detection	detection	NOUN
ajst-4122	32	43	accuracy	accuracy	NOUN
ajst-4122	32	44	and	and	CCONJ
ajst-4122	32	45	speed	speed	NOUN
ajst-4122	32	46	.	.	PUNCT
ajst-4122	33	1	in	in	ADP
ajst-4122	33	2	view	view	NOUN
ajst-4122	33	3	of	of	ADP
ajst-4122	33	4	the	the	DET
ajst-4122	33	5	good	good	ADJ
ajst-4122	33	6	detection	detection	NOUN
ajst-4122	33	7	effect	effect	NOUN
ajst-4122	33	8	of	of	ADP
ajst-4122	33	9	faster	fast	ADJ
ajst-4122	33	10	rcnn	rcnn	NOUN
ajst-4122	33	11	,	,	PUNCT
ajst-4122	33	12	this	this	DET
ajst-4122	33	13	paper	paper	NOUN
ajst-4122	33	14	based	base	VERB
ajst-4122	33	15	on	on	ADP
ajst-4122	33	16	faster	fast	ADJ
ajst-4122	33	17	rcnn	rcnn	NOUN
ajst-4122	33	18	,	,	PUNCT
ajst-4122	33	19	added	add	VERB
ajst-4122	33	20	an	an	DET
ajst-4122	33	21	attention	attention	NOUN
ajst-4122	33	22	mechanism	mechanism	NOUN
ajst-4122	33	23	to	to	ADP
ajst-4122	33	24	the	the	DET
ajst-4122	33	25	algorithm	algorithm	NOUN
ajst-4122	33	26	to	to	PART
ajst-4122	33	27	further	far	ADV
ajst-4122	33	28	improve	improve	VERB
ajst-4122	33	29	the	the	DET
ajst-4122	33	30	detection	detection	NOUN
ajst-4122	33	31	accuracy	accuracy	NOUN
ajst-4122	33	32	of	of	ADP
ajst-4122	33	33	the	the	DET
ajst-4122	33	34	algorithm	algorithm	NOUN
ajst-4122	33	35	,	,	PUNCT
ajst-4122	33	36	and	and	CCONJ
ajst-4122	33	37	modified	modify	VERB
ajst-4122	33	38	the	the	DET
ajst-4122	33	39	backbone	backbone	NOUN
ajst-4122	33	40	network	network	NOUN
ajst-4122	33	41	of	of	ADP
ajst-4122	33	42	faster	fast	ADJ
ajst-4122	33	43	rcnn	rcnn	NOUN
ajst-4122	33	44	to	to	PART
ajst-4122	33	45	improve	improve	VERB
ajst-4122	33	46	the	the	DET
ajst-4122	33	47	training	training	NOUN
ajst-4122	33	48	speed	speed	NOUN
ajst-4122	33	49	and	and	CCONJ
ajst-4122	33	50	detection	detection	NOUN
ajst-4122	33	51	speed	speed	NOUN
ajst-4122	33	52	of	of	ADP
ajst-4122	33	53	the	the	DET
ajst-4122	33	54	model	model	NOUN
ajst-4122	33	55	.	.	PUNCT
ajst-4122	34	1	2	2	X
ajst-4122	34	2	.	.	X
ajst-4122	34	3	technical	technical	ADJ
ajst-4122	34	4	overview	overview	NOUN
ajst-4122	34	5	2.1	2.1	NUM
ajst-4122	34	6	.	.	PUNCT
ajst-4122	35	1	faster	fast	ADJ
ajst-4122	35	2	rcnn	rcnn	PROPN
ajst-4122	35	3	faster	fast	ADV
ajst-4122	35	4	rcnn	rcnn	PROPN
ajst-4122	35	5	is	be	AUX
ajst-4122	35	6	proposed	propose	VERB
ajst-4122	35	7	to	to	PART
ajst-4122	35	8	use	use	VERB
ajst-4122	35	9	regional	regional	ADJ
ajst-4122	35	10	suggestion	suggestion	NOUN
ajst-4122	35	11	network	network	NOUN
ajst-4122	35	12	rpn	rpn	NOUN
ajst-4122	35	13	to	to	PART
ajst-4122	35	14	generate	generate	VERB
ajst-4122	35	15	a	a	DET
ajst-4122	35	16	series	series	NOUN
ajst-4122	35	17	of	of	ADP
ajst-4122	35	18	candidate	candidate	NOUN
ajst-4122	35	19	boxes	box	NOUN
ajst-4122	35	20	to	to	PART
ajst-4122	35	21	avoid	avoid	VERB
ajst-4122	35	22	130	130	NUM
ajst-4122	35	23	the	the	DET
ajst-4122	35	24	problem	problem	NOUN
ajst-4122	35	25	of	of	ADP
ajst-4122	35	26	information	information	NOUN
ajst-4122	35	27	redundancy	redundancy	NOUN
ajst-4122	35	28	during	during	ADP
ajst-4122	35	29	the	the	DET
ajst-4122	35	30	generation	generation	NOUN
ajst-4122	35	31	of	of	ADP
ajst-4122	35	32	candidate	candidate	NOUN
ajst-4122	35	33	boxes	box	NOUN
ajst-4122	35	34	,	,	PUNCT
ajst-4122	35	35	which	which	PRON
ajst-4122	35	36	perfectly	perfectly	ADV
ajst-4122	35	37	replaces	replace	VERB
ajst-4122	35	38	the	the	DET
ajst-4122	35	39	selective	selective	ADJ
ajst-4122	35	40	search	search	NOUN
ajst-4122	35	41	method	method	NOUN
ajst-4122	35	42	and	and	CCONJ
ajst-4122	35	43	improves	improve	VERB
ajst-4122	35	44	the	the	DET
ajst-4122	35	45	training	training	NOUN
ajst-4122	35	46	and	and	CCONJ
ajst-4122	35	47	testing	testing	NOUN
ajst-4122	35	48	speed	speed	NOUN
ajst-4122	35	49	of	of	ADP
ajst-4122	35	50	network	network	NOUN
ajst-4122	35	51	modules	module	NOUN
ajst-4122	35	52	.	.	PUNCT
ajst-4122	36	1	the	the	DET
ajst-4122	36	2	structure	structure	NOUN
ajst-4122	36	3	of	of	ADP
ajst-4122	36	4	faster	fast	ADJ
ajst-4122	36	5	rcnn	rcnn	PROPN
ajst-4122	36	6	is	be	AUX
ajst-4122	36	7	shown	show	VERB
ajst-4122	36	8	in	in	ADP
ajst-4122	36	9	figure	figure	NOUN
ajst-4122	36	10	1	1	NUM
ajst-4122	36	11	.	.	PUNCT
ajst-4122	36	12	figure	figure	NOUN
ajst-4122	36	13	1	1	NUM
ajst-4122	36	14	.	.	PUNCT
ajst-4122	37	1	the	the	DET
ajst-4122	37	2	structure	structure	NOUN
ajst-4122	37	3	of	of	ADP
ajst-4122	37	4	faster	fast	ADJ
ajst-4122	37	5	rcnn	rcnn	NOUN
ajst-4122	37	6	as	as	SCONJ
ajst-4122	37	7	can	can	AUX
ajst-4122	37	8	be	be	AUX
ajst-4122	37	9	seen	see	VERB
ajst-4122	37	10	from	from	ADP
ajst-4122	37	11	figure	figure	NOUN
ajst-4122	37	12	1	1	NUM
ajst-4122	37	13	,	,	PUNCT
ajst-4122	37	14	faster	fast	ADJ
ajst-4122	37	15	rcnn	rcnn	PROPN
ajst-4122	37	16	network	network	PROPN
ajst-4122	37	17	can	can	AUX
ajst-4122	37	18	be	be	AUX
ajst-4122	37	19	divided	divide	VERB
ajst-4122	37	20	into	into	ADP
ajst-4122	37	21	four	four	NUM
ajst-4122	37	22	parts	part	NOUN
ajst-4122	37	23	:	:	PUNCT
ajst-4122	37	24	(	(	PUNCT
ajst-4122	37	25	1	1	X
ajst-4122	37	26	)	)	PUNCT
ajst-4122	37	27	input	input	NOUN
ajst-4122	37	28	images	image	NOUN
ajst-4122	37	29	that	that	PRON
ajst-4122	37	30	need	need	VERB
ajst-4122	37	31	to	to	PART
ajst-4122	37	32	extract	extract	VERB
ajst-4122	37	33	features	feature	NOUN
ajst-4122	37	34	through	through	ADP
ajst-4122	37	35	the	the	DET
ajst-4122	37	36	backbone	backbone	NOUN
ajst-4122	37	37	feature	feature	NOUN
ajst-4122	37	38	extraction	extraction	NOUN
ajst-4122	37	39	network	network	NOUN
ajst-4122	37	40	.	.	PUNCT
ajst-4122	38	1	convolutional	convolutional	ADJ
ajst-4122	38	2	neural	neural	ADJ
ajst-4122	38	3	networks	network	NOUN
ajst-4122	38	4	are	be	AUX
ajst-4122	38	5	usually	usually	ADV
ajst-4122	38	6	used	use	VERB
ajst-4122	38	7	to	to	PART
ajst-4122	38	8	construct	construct	VERB
ajst-4122	38	9	feature	feature	NOUN
ajst-4122	38	10	extraction	extraction	NOUN
ajst-4122	38	11	networks	network	NOUN
ajst-4122	38	12	.	.	PUNCT
ajst-4122	39	1	feature	feature	NOUN
ajst-4122	39	2	images	image	NOUN
ajst-4122	39	3	extracted	extract	VERB
ajst-4122	39	4	by	by	ADP
ajst-4122	39	5	the	the	DET
ajst-4122	39	6	image	image	NOUN
ajst-4122	39	7	feature	feature	NOUN
ajst-4122	39	8	extraction	extraction	NOUN
ajst-4122	39	9	layer	layer	NOUN
ajst-4122	39	10	are	be	AUX
ajst-4122	39	11	usually	usually	ADV
ajst-4122	39	12	shared	share	VERB
ajst-4122	39	13	by	by	ADP
ajst-4122	39	14	regional	regional	ADJ
ajst-4122	39	15	proposal	proposal	NOUN
ajst-4122	39	16	network	network	NOUN
ajst-4122	39	17	and	and	CCONJ
ajst-4122	39	18	the	the	DET
ajst-4122	39	19	region	region	NOUN
ajst-4122	39	20	of	of	ADP
ajst-4122	39	21	interest	interest	NOUN
ajst-4122	39	22	pooling	pool	VERB
ajst-4122	39	23	layer	layer	NOUN
ajst-4122	39	24	.	.	PUNCT
ajst-4122	40	1	(	(	PUNCT
ajst-4122	40	2	2	2	X
ajst-4122	40	3	)	)	PUNCT
ajst-4122	40	4	feature	feature	NOUN
ajst-4122	40	5	map	map	NOUN
ajst-4122	40	6	through	through	ADP
ajst-4122	40	7	the	the	DET
ajst-4122	40	8	regional	regional	ADJ
ajst-4122	40	9	suggestion	suggestion	NOUN
ajst-4122	40	10	network	network	NOUN
ajst-4122	40	11	rpn	rpn	PROPN
ajst-4122	40	12	.	.	PUNCT
ajst-4122	41	1	regional	regional	ADJ
ajst-4122	41	2	suggestion	suggestion	NOUN
ajst-4122	41	3	network	network	NOUN
ajst-4122	41	4	rpn	rpn	PROPN
ajst-4122	41	5	is	be	AUX
ajst-4122	41	6	used	use	VERB
ajst-4122	41	7	to	to	PART
ajst-4122	41	8	generate	generate	VERB
ajst-4122	41	9	target	target	NOUN
ajst-4122	41	10	candidate	candidate	NOUN
ajst-4122	41	11	regions	region	NOUN
ajst-4122	41	12	,	,	PUNCT
ajst-4122	41	13	and	and	CCONJ
ajst-4122	41	14	the	the	DET
ajst-4122	41	15	full	full	ADJ
ajst-4122	41	16	convolutional	convolutional	ADJ
ajst-4122	41	17	network	network	NOUN
ajst-4122	41	18	structure	structure	NOUN
ajst-4122	41	19	is	be	AUX
ajst-4122	41	20	used	use	VERB
ajst-4122	41	21	to	to	PART
ajst-4122	41	22	generate	generate	VERB
ajst-4122	41	23	a	a	DET
ajst-4122	41	24	specified	specified	ADJ
ajst-4122	41	25	number	number	NOUN
ajst-4122	41	26	of	of	ADP
ajst-4122	41	27	candidate	candidate	NOUN
ajst-4122	41	28	regions	region	NOUN
ajst-4122	41	29	for	for	ADP
ajst-4122	41	30	each	each	DET
ajst-4122	41	31	image	image	NOUN
ajst-4122	41	32	,	,	PUNCT
ajst-4122	41	33	and	and	CCONJ
ajst-4122	41	34	the	the	DET
ajst-4122	41	35	position	position	NOUN
ajst-4122	41	36	regression	regression	NOUN
ajst-4122	41	37	is	be	AUX
ajst-4122	41	38	carried	carry	VERB
ajst-4122	41	39	out	out	ADP
ajst-4122	41	40	and	and	CCONJ
ajst-4122	41	41	the	the	DET
ajst-4122	41	42	existence	existence	NOUN
ajst-4122	41	43	of	of	ADP
ajst-4122	41	44	the	the	DET
ajst-4122	41	45	target	target	NOUN
ajst-4122	41	46	is	be	AUX
ajst-4122	41	47	preliminarily	preliminarily	ADV
ajst-4122	41	48	determined	determine	VERB
ajst-4122	41	49	.	.	PUNCT
ajst-4122	42	1	(	(	PUNCT
ajst-4122	42	2	3	3	X
ajst-4122	42	3	)	)	PUNCT
ajst-4122	42	4	input	input	NOUN
ajst-4122	42	5	to	to	ADP
ajst-4122	42	6	the	the	DET
ajst-4122	42	7	area	area	NOUN
ajst-4122	42	8	of	of	ADP
ajst-4122	42	9	interest	interest	NOUN
ajst-4122	42	10	pool	pool	NOUN
ajst-4122	42	11	layer	layer	NOUN
ajst-4122	42	12	.	.	PUNCT
ajst-4122	43	1	input	input	VERB
ajst-4122	43	2	the	the	DET
ajst-4122	43	3	feature	feature	NOUN
ajst-4122	43	4	map	map	NOUN
ajst-4122	43	5	in	in	ADP
ajst-4122	43	6	the	the	DET
ajst-4122	43	7	first	first	ADJ
ajst-4122	43	8	step	step	NOUN
ajst-4122	43	9	and	and	CCONJ
ajst-4122	43	10	the	the	DET
ajst-4122	43	11	target	target	NOUN
ajst-4122	43	12	candidate	candidate	NOUN
ajst-4122	43	13	region	region	NOUN
ajst-4122	43	14	in	in	ADP
ajst-4122	43	15	the	the	DET
ajst-4122	43	16	second	second	ADJ
ajst-4122	43	17	step	step	NOUN
ajst-4122	43	18	into	into	ADP
ajst-4122	43	19	the	the	DET
ajst-4122	43	20	region	region	NOUN
ajst-4122	43	21	of	of	ADP
ajst-4122	43	22	interest	interest	NOUN
ajst-4122	43	23	pooling	pool	VERB
ajst-4122	43	24	layer	layer	NOUN
ajst-4122	43	25	at	at	ADP
ajst-4122	43	26	the	the	DET
ajst-4122	43	27	same	same	ADJ
ajst-4122	43	28	time	time	NOUN
ajst-4122	43	29	,	,	PUNCT
ajst-4122	43	30	and	and	CCONJ
ajst-4122	43	31	extract	extract	VERB
ajst-4122	43	32	the	the	DET
ajst-4122	43	33	features	feature	NOUN
ajst-4122	43	34	suggested	suggest	VERB
ajst-4122	43	35	by	by	ADP
ajst-4122	43	36	the	the	DET
ajst-4122	43	37	corresponding	corresponding	ADJ
ajst-4122	43	38	region	region	NOUN
ajst-4122	43	39	.	.	PUNCT
ajst-4122	44	1	(	(	PUNCT
ajst-4122	44	2	4	4	X
ajst-4122	44	3	)	)	PUNCT
ajst-4122	44	4	finally	finally	ADV
ajst-4122	44	5	to	to	ADP
ajst-4122	44	6	the	the	DET
ajst-4122	44	7	classification	classification	NOUN
ajst-4122	44	8	regression	regression	NOUN
ajst-4122	44	9	layer	layer	NOUN
ajst-4122	44	10	.	.	PUNCT
ajst-4122	45	1	the	the	DET
ajst-4122	45	2	obtained	obtain	VERB
ajst-4122	45	3	target	target	NOUN
ajst-4122	45	4	candidate	candidate	NOUN
ajst-4122	45	5	region	region	NOUN
ajst-4122	45	6	is	be	AUX
ajst-4122	45	7	further	far	ADV
ajst-4122	45	8	classified	classify	VERB
ajst-4122	45	9	to	to	PART
ajst-4122	45	10	output	output	VERB
ajst-4122	45	11	the	the	DET
ajst-4122	45	12	classification	classification	NOUN
ajst-4122	45	13	of	of	ADP
ajst-4122	45	14	the	the	DET
ajst-4122	45	15	region	region	NOUN
ajst-4122	45	16	and	and	CCONJ
ajst-4122	45	17	accurate	accurate	ADJ
ajst-4122	45	18	regression	regression	NOUN
ajst-4122	45	19	.	.	PUNCT
ajst-4122	46	1	2.2	2.2	NUM
ajst-4122	46	2	.	.	PUNCT
ajst-4122	46	3	improved	improve	VERB
ajst-4122	46	4	backbone	backbone	NOUN
ajst-4122	46	5	network	network	NOUN
ajst-4122	46	6	in	in	ADP
ajst-4122	46	7	the	the	DET
ajst-4122	46	8	object	object	NOUN
ajst-4122	46	9	detection	detection	NOUN
ajst-4122	46	10	network	network	NOUN
ajst-4122	47	1	,	,	PUNCT
ajst-4122	47	2	the	the	DET
ajst-4122	47	3	backbone	backbone	NOUN
ajst-4122	47	4	feature	feature	NOUN
ajst-4122	47	5	extraction	extraction	NOUN
ajst-4122	47	6	network	network	NOUN
ajst-4122	47	7	can	can	AUX
ajst-4122	47	8	largely	largely	ADV
ajst-4122	47	9	determine	determine	VERB
ajst-4122	47	10	the	the	DET
ajst-4122	47	11	prediction	prediction	NOUN
ajst-4122	47	12	effect	effect	NOUN
ajst-4122	47	13	of	of	ADP
ajst-4122	47	14	the	the	DET
ajst-4122	47	15	model	model	NOUN
ajst-4122	47	16	.	.	PUNCT
ajst-4122	48	1	the	the	DET
ajst-4122	48	2	traditional	traditional	ADJ
ajst-4122	48	3	convolutional	convolutional	ADJ
ajst-4122	48	4	neural	neural	ADJ
ajst-4122	48	5	network	network	NOUN
ajst-4122	48	6	has	have	VERB
ajst-4122	48	7	a	a	DET
ajst-4122	48	8	large	large	ADJ
ajst-4122	48	9	memory	memory	NOUN
ajst-4122	48	10	requirement	requirement	NOUN
ajst-4122	48	11	for	for	ADP
ajst-4122	48	12	hardware	hardware	NOUN
ajst-4122	48	13	equipment	equipment	NOUN
ajst-4122	48	14	and	and	CCONJ
ajst-4122	48	15	a	a	DET
ajst-4122	48	16	large	large	ADJ
ajst-4122	48	17	amount	amount	NOUN
ajst-4122	48	18	of	of	ADP
ajst-4122	48	19	computation	computation	NOUN
ajst-4122	48	20	.	.	PUNCT
ajst-4122	49	1	in	in	ADP
ajst-4122	49	2	faster	fast	ADJ
ajst-4122	49	3	rcnn	rcnn	NOUN
ajst-4122	49	4	,	,	PUNCT
ajst-4122	49	5	the	the	DET
ajst-4122	49	6	complex	complex	ADJ
ajst-4122	49	7	network	network	NOUN
ajst-4122	49	8	structure	structure	NOUN
ajst-4122	49	9	leads	lead	VERB
ajst-4122	49	10	to	to	ADP
ajst-4122	49	11	slower	slow	ADJ
ajst-4122	49	12	training	training	NOUN
ajst-4122	49	13	and	and	CCONJ
ajst-4122	49	14	testing	testing	NOUN
ajst-4122	49	15	speed	speed	NOUN
ajst-4122	49	16	.	.	PUNCT
ajst-4122	50	1	considering	consider	VERB
ajst-4122	50	2	the	the	DET
ajst-4122	50	3	actual	actual	ADJ
ajst-4122	50	4	service	service	NOUN
ajst-4122	50	5	scenario	scenario	NOUN
ajst-4122	50	6	,	,	PUNCT
ajst-4122	50	7	the	the	DET
ajst-4122	50	8	training	training	NOUN
ajst-4122	50	9	quality	quality	NOUN
ajst-4122	50	10	of	of	ADP
ajst-4122	50	11	the	the	DET
ajst-4122	50	12	whole	whole	ADJ
ajst-4122	50	13	network	network	NOUN
ajst-4122	50	14	needs	need	VERB
ajst-4122	50	15	to	to	PART
ajst-4122	50	16	be	be	AUX
ajst-4122	50	17	greatly	greatly	ADV
ajst-4122	50	18	improved	improve	VERB
ajst-4122	50	19	to	to	PART
ajst-4122	50	20	improve	improve	VERB
ajst-4122	50	21	test	test	NOUN
ajst-4122	50	22	efficiency	efficiency	NOUN
ajst-4122	50	23	,	,	PUNCT
ajst-4122	50	24	so	so	CCONJ
ajst-4122	50	25	the	the	DET
ajst-4122	50	26	backbone	backbone	NOUN
ajst-4122	50	27	network	network	NOUN
ajst-4122	50	28	of	of	ADP
ajst-4122	50	29	faster	fast	ADJ
ajst-4122	50	30	rcnn	rcnn	PROPN
ajst-4122	50	31	is	be	AUX
ajst-4122	50	32	replaced	replace	VERB
ajst-4122	50	33	with	with	ADP
ajst-4122	50	34	lightweight	lightweight	ADJ
ajst-4122	50	35	network	network	NOUN
ajst-4122	50	36	mobilenetv2	mobilenetv2	PROPN
ajst-4122	50	37	.	.	PUNCT
ajst-4122	51	1	mobilenetv2	mobilenetv2	PROPN
ajst-4122	51	2	introduces	introduce	VERB
ajst-4122	51	3	a	a	DET
ajst-4122	51	4	backward	backward	ADJ
ajst-4122	51	5	residual	residual	ADJ
ajst-4122	51	6	module	module	NOUN
ajst-4122	51	7	and	and	CCONJ
ajst-4122	51	8	a	a	DET
ajst-4122	51	9	linear	linear	ADJ
ajst-4122	51	10	bottleneck	bottleneck	NOUN
ajst-4122	51	11	layer	layer	NOUN
ajst-4122	51	12	.	.	PUNCT
ajst-4122	52	1	firstly	firstly	ADV
ajst-4122	52	2	,	,	PUNCT
ajst-4122	52	3	the	the	DET
ajst-4122	52	4	reciprocal	reciprocal	ADJ
ajst-4122	52	5	residual	residual	ADJ
ajst-4122	52	6	model	model	NOUN
ajst-4122	52	7	is	be	AUX
ajst-4122	52	8	expanded	expand	VERB
ajst-4122	52	9	by	by	ADP
ajst-4122	52	10	1	1	NUM
ajst-4122	52	11	*	*	SYM
ajst-4122	52	12	1	1	NUM
ajst-4122	52	13	convolution	convolution	NOUN
ajst-4122	52	14	computation	computation	NOUN
ajst-4122	52	15	channels	channel	NOUN
ajst-4122	52	16	,	,	PUNCT
ajst-4122	52	17	so	so	SCONJ
ajst-4122	52	18	as	as	SCONJ
ajst-4122	52	19	to	to	PART
ajst-4122	52	20	obtain	obtain	VERB
ajst-4122	52	21	more	more	ADJ
ajst-4122	52	22	features	feature	NOUN
ajst-4122	52	23	,	,	PUNCT
ajst-4122	52	24	then	then	ADV
ajst-4122	52	25	features	feature	NOUN
ajst-4122	52	26	are	be	AUX
ajst-4122	52	27	extracted	extract	VERB
ajst-4122	52	28	by	by	ADP
ajst-4122	52	29	3	3	NUM
ajst-4122	52	30	*	*	SYM
ajst-4122	52	31	3	3	NUM
ajst-4122	52	32	convolution	convolution	NOUN
ajst-4122	52	33	computation	computation	NOUN
ajst-4122	52	34	channels	channel	NOUN
ajst-4122	52	35	,	,	PUNCT
ajst-4122	52	36	and	and	CCONJ
ajst-4122	52	37	finally	finally	ADV
ajst-4122	52	38	the	the	DET
ajst-4122	52	39	channels	channel	NOUN
ajst-4122	52	40	are	be	AUX
ajst-4122	52	41	compressed	compress	VERB
ajst-4122	52	42	back	back	ADV
ajst-4122	52	43	by	by	ADP
ajst-4122	52	44	1	1	NUM
ajst-4122	52	45	*	*	SYM
ajst-4122	52	46	1	1	NUM
ajst-4122	52	47	convolution	convolution	NOUN
ajst-4122	52	48	computation	computation	NOUN
ajst-4122	52	49	compression	compression	NOUN
ajst-4122	52	50	.	.	PUNCT
ajst-4122	53	1	the	the	DET
ajst-4122	53	2	overall	overall	ADJ
ajst-4122	53	3	process	process	NOUN
ajst-4122	53	4	is	be	AUX
ajst-4122	53	5	as	as	SCONJ
ajst-4122	53	6	follows	follow	VERB
ajst-4122	53	7	:	:	PUNCT
ajst-4122	53	8	expansion	expansion	NOUN
ajst-4122	53	9	convolution	convolution	NOUN
ajst-4122	53	10	operation	operation	NOUN
ajst-4122	53	11	compression	compression	NOUN
ajst-4122	53	12	.	.	PUNCT
ajst-4122	54	1	finally	finally	ADV
ajst-4122	54	2	,	,	PUNCT
ajst-4122	54	3	the	the	DET
ajst-4122	54	4	basic	basic	ADJ
ajst-4122	54	5	convolution	convolution	NOUN
ajst-4122	54	6	block	block	NOUN
ajst-4122	54	7	of	of	ADP
ajst-4122	54	8	the	the	DET
ajst-4122	54	9	mobilenetv2	mobilenetv2	PROPN
ajst-4122	54	10	network	network	NOUN
ajst-4122	54	11	is	be	AUX
ajst-4122	54	12	the	the	DET
ajst-4122	54	13	linear	linear	ADJ
ajst-4122	54	14	bottleneck	bottleneck	NOUN
ajst-4122	54	15	layer	layer	NOUN
ajst-4122	54	16	,	,	PUNCT
ajst-4122	54	17	and	and	CCONJ
ajst-4122	54	18	the	the	DET
ajst-4122	54	19	structure	structure	NOUN
ajst-4122	54	20	is	be	AUX
ajst-4122	54	21	shown	show	VERB
ajst-4122	54	22	in	in	ADP
ajst-4122	54	23	figure	figure	NOUN
ajst-4122	54	24	2	2	NUM
ajst-4122	54	25	.	.	PUNCT
ajst-4122	54	26	figure	figure	NOUN
ajst-4122	54	27	2	2	NUM
ajst-4122	54	28	.	.	PUNCT
ajst-4122	54	29	inverted	invert	VERB
ajst-4122	54	30	residual	residual	ADJ
ajst-4122	54	31	block	block	NOUN
ajst-4122	54	32	as	as	SCONJ
ajst-4122	54	33	can	can	AUX
ajst-4122	54	34	be	be	AUX
ajst-4122	54	35	seen	see	VERB
ajst-4122	54	36	from	from	ADP
ajst-4122	54	37	figure	figure	NOUN
ajst-4122	54	38	2	2	NUM
ajst-4122	54	39	,	,	PUNCT
ajst-4122	54	40	when	when	SCONJ
ajst-4122	54	41	the	the	DET
ajst-4122	54	42	information	information	NOUN
ajst-4122	54	43	goes	go	VERB
ajst-4122	54	44	through	through	ADP
ajst-4122	54	45	the	the	DET
ajst-4122	54	46	process	process	NOUN
ajst-4122	54	47	of	of	ADP
ajst-4122	54	48	expansion	expansion	NOUN
ajst-4122	54	49	-convolution	-convolution	NOUN
ajst-4122	54	50	-	-	PUNCT
ajst-4122	54	51	compression	compression	NOUN
ajst-4122	54	52	in	in	ADP
ajst-4122	54	53	the	the	DET
ajst-4122	54	54	inverted	inverted	ADJ
ajst-4122	54	55	residual	residual	ADJ
ajst-4122	54	56	model	model	NOUN
ajst-4122	54	57	,	,	PUNCT
ajst-4122	54	58	the	the	DET
ajst-4122	54	59	damage	damage	NOUN
ajst-4122	54	60	characteristic	characteristic	NOUN
ajst-4122	54	61	of	of	ADP
ajst-4122	54	62	relu6	relu6	PROPN
ajst-4122	54	63	activation	activation	NOUN
ajst-4122	54	64	function	function	NOUN
ajst-4122	54	65	may	may	AUX
ajst-4122	54	66	occur	occur	VERB
ajst-4122	54	67	,	,	PUNCT
ajst-4122	54	68	so	so	ADV
ajst-4122	54	69	a	a	DET
ajst-4122	54	70	linear	linear	ADJ
ajst-4122	54	71	bottleneck	bottleneck	NOUN
ajst-4122	54	72	layer	layer	NOUN
ajst-4122	54	73	is	be	AUX
ajst-4122	54	74	introduced	introduce	VERB
ajst-4122	54	75	.	.	PUNCT
ajst-4122	55	1	since	since	SCONJ
ajst-4122	55	2	the	the	DET
ajst-4122	55	3	output	output	NOUN
ajst-4122	55	4	of	of	ADP
ajst-4122	55	5	relu6	relu6	PROPN
ajst-4122	55	6	function	function	PROPN
ajst-4122	55	7	is	be	AUX
ajst-4122	55	8	zero	zero	NUM
ajst-4122	55	9	in	in	ADP
ajst-4122	55	10	the	the	DET
ajst-4122	55	11	interval	interval	NOUN
ajst-4122	55	12	from	from	ADP
ajst-4122	55	13	zero	zero	NUM
ajst-4122	55	14	to	to	ADP
ajst-4122	55	15	minus	minus	CCONJ
ajst-4122	55	16	infinity	infinity	NOUN
ajst-4122	55	17	,	,	PUNCT
ajst-4122	55	18	when	when	SCONJ
ajst-4122	55	19	the	the	DET
ajst-4122	55	20	signal	signal	NOUN
ajst-4122	55	21	is	be	AUX
ajst-4122	55	22	mapped	map	VERB
ajst-4122	55	23	from	from	ADP
ajst-4122	55	24	low	low	ADJ
ajst-4122	55	25	dimension	dimension	NOUN
ajst-4122	55	26	to	to	ADP
ajst-4122	55	27	high	high	ADJ
ajst-4122	55	28	dimension	dimension	NOUN
ajst-4122	55	29	,	,	PUNCT
ajst-4122	55	30	some	some	DET
ajst-4122	55	31	features	feature	NOUN
ajst-4122	55	32	will	will	AUX
ajst-4122	55	33	be	be	AUX
ajst-4122	55	34	lost	lose	VERB
ajst-4122	55	35	anyway	anyway	ADV
ajst-4122	55	36	when	when	SCONJ
ajst-4122	55	37	the	the	DET
ajst-4122	55	38	signal	signal	NOUN
ajst-4122	55	39	is	be	AUX
ajst-4122	55	40	remapped	remappe	VERB
ajst-4122	55	41	to	to	ADP
ajst-4122	55	42	low	low	ADJ
ajst-4122	55	43	dimension	dimension	NOUN
ajst-4122	55	44	after	after	ADP
ajst-4122	55	45	relu6	relu6	PROPN
ajst-4122	55	46	.	.	PUNCT
ajst-4122	56	1	if	if	SCONJ
ajst-4122	56	2	the	the	DET
ajst-4122	56	3	dimension	dimension	NOUN
ajst-4122	56	4	reflected	reflect	VERB
ajst-4122	56	5	by	by	ADP
ajst-4122	56	6	the	the	DET
ajst-4122	56	7	final	final	ADJ
ajst-4122	56	8	information	information	NOUN
ajst-4122	56	9	is	be	AUX
ajst-4122	56	10	relatively	relatively	ADV
ajst-4122	56	11	high	high	ADJ
ajst-4122	56	12	,	,	PUNCT
ajst-4122	56	13	the	the	DET
ajst-4122	56	14	loss	loss	NOUN
ajst-4122	56	15	is	be	AUX
ajst-4122	56	16	small	small	ADJ
ajst-4122	56	17	.	.	PUNCT
ajst-4122	57	1	2.3	2.3	NUM
ajst-4122	57	2	.	.	PUNCT
ajst-4122	58	1	network	network	NOUN
ajst-4122	58	2	convolutional	convolutional	ADJ
ajst-4122	58	3	block	block	NOUN
ajst-4122	58	4	attention	attention	NOUN
ajst-4122	58	5	module	module	NOUN
ajst-4122	58	6	the	the	DET
ajst-4122	58	7	network	network	NOUN
ajst-4122	58	8	of	of	ADP
ajst-4122	58	9	the	the	DET
ajst-4122	58	10	attention	attention	NOUN
ajst-4122	58	11	mechanism	mechanism	NOUN
ajst-4122	58	12	cbam	cbam	NOUN
ajst-4122	58	13	(	(	PUNCT
ajst-4122	58	14	convolutional	convolutional	ADJ
ajst-4122	58	15	block	block	NOUN
ajst-4122	58	16	attention	attention	NOUN
ajst-4122	58	17	module	module	NOUN
ajst-4122	58	18	)	)	PUNCT
ajst-4122	58	19	is	be	AUX
ajst-4122	58	20	shown	show	VERB
ajst-4122	58	21	in	in	ADP
ajst-4122	58	22	figure	figure	NOUN
ajst-4122	58	23	131	131	NUM
ajst-4122	58	24	3	3	NUM
ajst-4122	58	25	,	,	PUNCT
ajst-4122	58	26	which	which	PRON
ajst-4122	58	27	includes	include	VERB
ajst-4122	58	28	the	the	DET
ajst-4122	58	29	channel	channel	NOUN
ajst-4122	58	30	attention	attention	NOUN
ajst-4122	58	31	module	module	NOUN
ajst-4122	58	32	and	and	CCONJ
ajst-4122	58	33	the	the	DET
ajst-4122	58	34	spatial	spatial	ADJ
ajst-4122	58	35	attention	attention	NOUN
ajst-4122	58	36	module	module	NOUN
ajst-4122	58	37	.	.	PUNCT
ajst-4122	59	1	the	the	DET
ajst-4122	59	2	channel	channel	NOUN
ajst-4122	59	3	attention	attention	NOUN
ajst-4122	59	4	module	module	NOUN
ajst-4122	59	5	is	be	AUX
ajst-4122	59	6	computed	compute	VERB
ajst-4122	59	7	as	as	ADP
ajst-4122	59	8	:	:	PUNCT
ajst-4122	59	9			NOUN
ajst-4122	59	10			PROPN
ajst-4122	59	11	1	1	NUM
ajst-4122	59	12	0	0	NUM
ajst-4122	59	13	1	1	NUM
ajst-4122	59	14	0	0	NUM
ajst-4122	59	15	max	max	NOUN
ajst-4122	59	16	(	(	PUNCT
ajst-4122	59	17	(	(	PUNCT
ajst-4122	59	18	(	(	PUNCT
ajst-4122	59	19	)	)	PUNCT
ajst-4122	59	20	)	)	PUNCT
ajst-4122	59	21	(	(	PUNCT
ajst-4122	59	22	(	(	PUNCT
ajst-4122	59	23	)	)	PUNCT
ajst-4122	59	24	)	)	PUNCT
ajst-4122	59	25	)	)	PUNCT
ajst-4122	60	1	(	(	PUNCT
ajst-4122	60	2	(	(	PUNCT
ajst-4122	60	3	(	(	PUNCT
ajst-4122	60	4	)	)	PUNCT
ajst-4122	60	5	)	)	PUNCT
ajst-4122	60	6	(	(	PUNCT
ajst-4122	60	7	(	(	PUNCT
ajst-4122	60	8	(	(	PUNCT
ajst-4122	60	9	)	)	PUNCT
ajst-4122	60	10	)	)	PUNCT
ajst-4122	61	1	c	c	PROPN
ajst-4122	61	2	c	c	PROPN
ajst-4122	61	3	avg	avg	PROPN
ajst-4122	61	4	mc	mc	PROPN
ajst-4122	61	5	f	f	PROPN
ajst-4122	61	6	mlp	mlp	PROPN
ajst-4122	61	7	avgpool	avgpool	PROPN
ajst-4122	61	8	f	f	PROPN
ajst-4122	62	1	mlp	mlp	PROPN
ajst-4122	62	2	maxpool	maxpool	PROPN
ajst-4122	62	3	f	f	PROPN
ajst-4122	62	4	w	w	PROPN
ajst-4122	62	5	w	w	PROPN
ajst-4122	62	6	f	f	PROPN
ajst-4122	62	7	w	w	PROPN
ajst-4122	62	8	w	w	PROPN
ajst-4122	62	9	f	f	PROPN
ajst-4122	62	10			X
ajst-4122	62	11			X
ajst-4122	62	12			X
ajst-4122	62	13			NOUN
ajst-4122	62	14			ADV
ajst-4122	62	15			NUM
ajst-4122	62	16			X
ajst-4122	62	17	(	(	PUNCT
ajst-4122	62	18	1	1	NUM
ajst-4122	62	19	)	)	PUNCT
ajst-4122	62	20	where	where	SCONJ
ajst-4122	62	21	,	,	PUNCT
ajst-4122	62	22	the	the	DET
ajst-4122	62	23	input	input	NOUN
ajst-4122	62	24	is	be	AUX
ajst-4122	62	25	a	a	DET
ajst-4122	62	26	feature	feature	NOUN
ajst-4122	62	27	f	f	NOUN
ajst-4122	62	28	,	,	PUNCT
ajst-4122	62	29	and	and	CCONJ
ajst-4122	62	30	they	they	PRON
ajst-4122	62	31	are	be	AUX
ajst-4122	62	32	respectively	respectively	ADV
ajst-4122	62	33	sent	send	VERB
ajst-4122	62	34	to	to	ADP
ajst-4122	62	35	a	a	DET
ajst-4122	62	36	two	two	NUM
ajst-4122	62	37	-	-	PUNCT
ajst-4122	62	38	layer	layer	NOUN
ajst-4122	62	39	neural	neural	ADJ
ajst-4122	62	40	network	network	NOUN
ajst-4122	62	41	.	.	PUNCT
ajst-4122	63	1	the	the	DET
ajst-4122	63	2	number	number	NOUN
ajst-4122	63	3	of	of	ADP
ajst-4122	63	4	neurons	neuron	NOUN
ajst-4122	63	5	at	at	ADP
ajst-4122	63	6	the	the	DET
ajst-4122	63	7	first	first	ADJ
ajst-4122	63	8	layer	layer	NOUN
ajst-4122	63	9	is	be	AUX
ajst-4122	63	10	c	c	NOUN
ajst-4122	63	11	/	/	SYM
ajst-4122	63	12	r	r	NOUN
ajst-4122	63	13	,	,	PUNCT
ajst-4122	63	14	the	the	DET
ajst-4122	63	15	activation	activation	NOUN
ajst-4122	63	16	function	function	NOUN
ajst-4122	63	17	is	be	AUX
ajst-4122	63	18	relu	relu	NOUN
ajst-4122	63	19	,	,	PUNCT
ajst-4122	63	20	and	and	CCONJ
ajst-4122	63	21	the	the	DET
ajst-4122	63	22	number	number	NOUN
ajst-4122	63	23	of	of	ADP
ajst-4122	63	24	neurons	neuron	NOUN
ajst-4122	63	25	at	at	ADP
ajst-4122	63	26	the	the	DET
ajst-4122	63	27	second	second	ADJ
ajst-4122	63	28	layer	layer	NOUN
ajst-4122	63	29	is	be	AUX
ajst-4122	63	30	c.	c.	NOUN
ajst-4122	63	31	after	after	ADP
ajst-4122	63	32	adding	add	VERB
ajst-4122	63	33	the	the	DET
ajst-4122	63	34	two	two	NUM
ajst-4122	63	35	features	feature	NOUN
ajst-4122	63	36	,	,	PUNCT
ajst-4122	63	37	a	a	DET
ajst-4122	63	38	sigmoid	sigmoid	NOUN
ajst-4122	63	39	activation	activation	NOUN
ajst-4122	63	40	function	function	NOUN
ajst-4122	63	41	was	be	AUX
ajst-4122	63	42	used	use	VERB
ajst-4122	63	43	to	to	PART
ajst-4122	63	44	get	get	VERB
ajst-4122	63	45	the	the	DET
ajst-4122	63	46	weight	weight	NOUN
ajst-4122	63	47	coefficient	coefficient	NOUN
ajst-4122	63	48	.	.	PUNCT
ajst-4122	64	1	multiply	multiply	VERB
ajst-4122	64	2	by	by	ADP
ajst-4122	64	3	the	the	DET
ajst-4122	64	4	input	input	NOUN
ajst-4122	64	5	feature	feature	NOUN
ajst-4122	64	6	f	f	PROPN
ajst-4122	64	7	to	to	PART
ajst-4122	64	8	get	get	VERB
ajst-4122	64	9	the	the	DET
ajst-4122	64	10	new	new	ADJ
ajst-4122	64	11	compressed	compressed	ADJ
ajst-4122	64	12	feature	feature	NOUN
ajst-4122	64	13	.	.	PUNCT
ajst-4122	65	1			NOUN
ajst-4122	65	2			PUNCT
ajst-4122	65	3	7	7	NUM
ajst-4122	65	4	7	7	NUM
ajst-4122	65	5	7	7	NUM
ajst-4122	65	6	7	7	NUM
ajst-4122	65	7	max	max	PROPN
ajst-4122	65	8	(	(	PUNCT
ajst-4122	65	9	(	(	PUNCT
ajst-4122	65	10	[	[	PUNCT
ajst-4122	65	11	(	(	PUNCT
ajst-4122	65	12	)	)	PUNCT
ajst-4122	65	13	,	,	PUNCT
ajst-4122	65	14	(	(	PUNCT
ajst-4122	65	15	)	)	PUNCT
ajst-4122	65	16	]	]	PUNCT
ajst-4122	65	17	)	)	PUNCT
ajst-4122	65	18	)	)	PUNCT
ajst-4122	66	1	(	(	PUNCT
ajst-4122	66	2	(	(	PUNCT
ajst-4122	66	3	[	[	PUNCT
ajst-4122	66	4	,	,	PUNCT
ajst-4122	66	5	]	]	X
ajst-4122	66	6	)	)	PUNCT
ajst-4122	66	7	)	)	PUNCT
ajst-4122	67	1	s	s	PART
ajst-4122	68	1	s	s	NOUN
ajst-4122	68	2	avgms	avgms	PROPN
ajst-4122	68	3	f	f	PROPN
ajst-4122	68	4	f	f	PROPN
ajst-4122	68	5	avgpool	avgpool	PROPN
ajst-4122	68	6	f	f	PROPN
ajst-4122	68	7	maxpool	maxpool	NOUN
ajst-4122	69	1	f	f	PROPN
ajst-4122	70	1	f	f	PROPN
ajst-4122	70	2	f	f	PROPN
ajst-4122	70	3	f	f	PROPN
ajst-4122	70	4			PROPN
ajst-4122	70	5			PUNCT
ajst-4122	71	1			PRON
ajst-4122	71	2	(	(	PUNCT
ajst-4122	71	3	2	2	NUM
ajst-4122	71	4	)	)	PUNCT
ajst-4122	71	5	similar	similar	ADJ
ajst-4122	71	6	to	to	PART
ajst-4122	71	7	channel	channel	VERB
ajst-4122	71	8	attention	attention	NOUN
ajst-4122	71	9	,	,	PUNCT
ajst-4122	71	10	after	after	ADP
ajst-4122	71	11	a	a	DET
ajst-4122	71	12	7	7	NUM
ajst-4122	71	13	*	*	SYM
ajst-4122	71	14	7	7	NUM
ajst-4122	71	15	convolution	convolution	NOUN
ajst-4122	71	16	layer	layer	NOUN
ajst-4122	71	17	,	,	PUNCT
ajst-4122	71	18	the	the	DET
ajst-4122	71	19	activation	activation	NOUN
ajst-4122	71	20	function	function	NOUN
ajst-4122	71	21	is	be	AUX
ajst-4122	71	22	sigmoid	sigmoid	NOUN
ajst-4122	71	23	,	,	PUNCT
ajst-4122	71	24	and	and	CCONJ
ajst-4122	71	25	the	the	DET
ajst-4122	71	26	weight	weight	NOUN
ajst-4122	71	27	coefficient	coefficient	NOUN
ajst-4122	71	28	ms	ms	NOUN
ajst-4122	71	29	is	be	AUX
ajst-4122	71	30	obtained	obtain	VERB
ajst-4122	71	31	.	.	PUNCT
ajst-4122	72	1	multiply	multiply	NOUN
ajst-4122	72	2	by	by	ADP
ajst-4122	72	3	the	the	DET
ajst-4122	72	4	input	input	NOUN
ajst-4122	72	5	feature	feature	NOUN
ajst-4122	72	6	f	f	PROPN
ajst-4122	72	7			ADV
ajst-4122	72	8	to	to	PART
ajst-4122	72	9	get	get	VERB
ajst-4122	72	10	the	the	DET
ajst-4122	72	11	scaled	scale	VERB
ajst-4122	72	12	new	new	ADJ
ajst-4122	72	13	feature	feature	NOUN
ajst-4122	72	14	.	.	PUNCT
ajst-4122	73	1	figure	figure	NOUN
ajst-4122	73	2	3	3	NUM
ajst-4122	73	3	.	.	PUNCT
ajst-4122	73	4	convolutional	convolutional	ADJ
ajst-4122	73	5	block	block	NOUN
ajst-4122	73	6	attention	attention	NOUN
ajst-4122	73	7	module	module	NOUN
ajst-4122	73	8	the	the	DET
ajst-4122	73	9	backbone	backbone	NOUN
ajst-4122	73	10	network	network	NOUN
ajst-4122	73	11	of	of	ADP
ajst-4122	73	12	faster	fast	ADJ
ajst-4122	73	13	rcnn	rcnn	PROPN
ajst-4122	73	14	is	be	AUX
ajst-4122	73	15	improved	improve	VERB
ajst-4122	73	16	.	.	PUNCT
ajst-4122	74	1	by	by	ADP
ajst-4122	74	2	replacing	replace	VERB
ajst-4122	74	3	the	the	DET
ajst-4122	74	4	original	original	ADJ
ajst-4122	74	5	backbone	backbone	NOUN
ajst-4122	74	6	network	network	NOUN
ajst-4122	74	7	with	with	ADP
ajst-4122	74	8	lightweight	lightweight	ADJ
ajst-4122	74	9	network	network	NOUN
ajst-4122	74	10	mobilenetv2	mobilenetv2	PROPN
ajst-4122	74	11	,	,	PUNCT
ajst-4122	74	12	the	the	DET
ajst-4122	74	13	training	training	NOUN
ajst-4122	74	14	and	and	CCONJ
ajst-4122	74	15	testing	testing	NOUN
ajst-4122	74	16	speed	speed	NOUN
ajst-4122	74	17	can	can	AUX
ajst-4122	74	18	be	be	AUX
ajst-4122	74	19	improved	improve	VERB
ajst-4122	74	20	.	.	PUNCT
ajst-4122	75	1	finally	finally	ADV
ajst-4122	75	2	,	,	PUNCT
ajst-4122	75	3	cbam	cbam	NOUN
ajst-4122	75	4	attention	attention	NOUN
ajst-4122	75	5	mechanism	mechanism	NOUN
ajst-4122	75	6	is	be	AUX
ajst-4122	75	7	added	add	VERB
ajst-4122	75	8	to	to	ADP
ajst-4122	75	9	mobilenetv2	mobilenetv2	PROPN
ajst-4122	75	10	network	network	NOUN
ajst-4122	75	11	,	,	PUNCT
ajst-4122	75	12	so	so	SCONJ
ajst-4122	75	13	that	that	SCONJ
ajst-4122	75	14	the	the	DET
ajst-4122	75	15	network	network	NOUN
ajst-4122	75	16	can	can	AUX
ajst-4122	75	17	further	far	ADV
ajst-4122	75	18	improve	improve	VERB
ajst-4122	75	19	the	the	DET
ajst-4122	75	20	extraction	extraction	NOUN
ajst-4122	75	21	ability	ability	NOUN
ajst-4122	75	22	of	of	ADP
ajst-4122	75	23	effective	effective	ADJ
ajst-4122	75	24	information	information	NOUN
ajst-4122	75	25	and	and	CCONJ
ajst-4122	75	26	the	the	DET
ajst-4122	75	27	extraction	extraction	NOUN
ajst-4122	75	28	and	and	CCONJ
ajst-4122	75	29	resolution	resolution	NOUN
ajst-4122	75	30	ability	ability	NOUN
ajst-4122	75	31	of	of	ADP
ajst-4122	75	32	features	feature	NOUN
ajst-4122	75	33	under	under	ADP
ajst-4122	75	34	high	high	ADJ
ajst-4122	75	35	receptive	receptive	ADJ
ajst-4122	75	36	field	field	NOUN
ajst-4122	75	37	.	.	PUNCT
ajst-4122	76	1	the	the	DET
ajst-4122	76	2	overall	overall	ADJ
ajst-4122	76	3	structure	structure	NOUN
ajst-4122	76	4	is	be	AUX
ajst-4122	76	5	shown	show	VERB
ajst-4122	76	6	in	in	ADP
ajst-4122	76	7	figure	figure	NOUN
ajst-4122	76	8	4	4	NUM
ajst-4122	76	9	.	.	PUNCT
ajst-4122	76	10	figure	figure	VERB
ajst-4122	76	11	4	4	NUM
ajst-4122	76	12	.	.	PUNCT
ajst-4122	76	13	improved	improve	VERB
ajst-4122	76	14	faster	fast	ADJ
ajst-4122	76	15	rcnn	rcnn	PROPN
ajst-4122	76	16	network	network	NOUN
ajst-4122	76	17	structure	structure	NOUN
ajst-4122	76	18	3	3	NUM
ajst-4122	76	19	.	.	PUNCT
ajst-4122	76	20	experimental	experimental	ADJ
ajst-4122	76	21	results	result	NOUN
ajst-4122	76	22	and	and	CCONJ
ajst-4122	76	23	analysis	analysis	NOUN
ajst-4122	76	24	the	the	DET
ajst-4122	76	25	pixel	pixel	ADJ
ajst-4122	76	26	size	size	NOUN
ajst-4122	76	27	of	of	ADP
ajst-4122	76	28	the	the	DET
ajst-4122	76	29	training	training	NOUN
ajst-4122	76	30	sample	sample	NOUN
ajst-4122	76	31	used	use	VERB
ajst-4122	76	32	in	in	ADP
ajst-4122	76	33	the	the	DET
ajst-4122	76	34	experiment	experiment	NOUN
ajst-4122	76	35	is	be	AUX
ajst-4122	76	36	512	512	NUM
ajst-4122	76	37	*	*	SYM
ajst-4122	76	38	512	512	NUM
ajst-4122	76	39	.	.	PUNCT
ajst-4122	77	1	among	among	ADP
ajst-4122	77	2	them	they	PRON
ajst-4122	77	3	,	,	PUNCT
ajst-4122	77	4	80	80	NUM
ajst-4122	77	5	%	%	NOUN
ajst-4122	77	6	of	of	ADP
ajst-4122	77	7	the	the	DET
ajst-4122	77	8	crack	crack	NOUN
ajst-4122	77	9	samples	sample	NOUN
ajst-4122	77	10	were	be	AUX
ajst-4122	77	11	used	use	VERB
ajst-4122	77	12	to	to	PART
ajst-4122	77	13	train	train	VERB
ajst-4122	77	14	the	the	DET
ajst-4122	77	15	improved	improve	VERB
ajst-4122	77	16	faster	fast	ADJ
ajst-4122	77	17	rcnn	rcnn	PROPN
ajst-4122	77	18	network	network	NOUN
ajst-4122	77	19	based	base	VERB
ajst-4122	77	20	on	on	ADP
ajst-4122	77	21	attention	attention	NOUN
ajst-4122	77	22	mechanism	mechanism	NOUN
ajst-4122	77	23	,	,	PUNCT
ajst-4122	77	24	and	and	CCONJ
ajst-4122	77	25	the	the	DET
ajst-4122	77	26	remaining	remain	VERB
ajst-4122	77	27	20	20	NUM
ajst-4122	77	28	%	%	NOUN
ajst-4122	77	29	samples	sample	NOUN
ajst-4122	77	30	were	be	AUX
ajst-4122	77	31	tested	test	VERB
ajst-4122	77	32	.	.	PUNCT
ajst-4122	78	1	the	the	DET
ajst-4122	78	2	network	network	NOUN
ajst-4122	78	3	designed	design	VERB
ajst-4122	78	4	in	in	ADP
ajst-4122	78	5	this	this	DET
ajst-4122	78	6	paper	paper	NOUN
ajst-4122	78	7	is	be	AUX
ajst-4122	78	8	implemented	implement	VERB
ajst-4122	78	9	with	with	ADP
ajst-4122	78	10	pytorch	pytorch	NOUN
ajst-4122	78	11	deep	deep	ADJ
ajst-4122	78	12	learning	learning	NOUN
ajst-4122	78	13	framework	framework	NOUN
ajst-4122	78	14	in	in	ADP
ajst-4122	78	15	win10	win10	PROPN
ajst-4122	78	16	environment	environment	PROPN
ajst-4122	78	17	.	.	PUNCT
ajst-4122	79	1	the	the	DET
ajst-4122	79	2	host	host	NOUN
ajst-4122	79	3	video	video	NOUN
ajst-4122	79	4	card	card	NOUN
ajst-4122	79	5	is	be	AUX
ajst-4122	79	6	tesla	tesla	PROPN
ajst-4122	79	7	v100	v100	PROPN
ajst-4122	79	8	and	and	CCONJ
ajst-4122	79	9	the	the	DET
ajst-4122	79	10	video	video	NOUN
ajst-4122	79	11	memory	memory	NOUN
ajst-4122	79	12	is	be	AUX
ajst-4122	79	13	16	16	NUM
ajst-4122	79	14	gb	gb	NOUN
ajst-4122	79	15	.	.	PUNCT
ajst-4122	80	1	in	in	ADP
ajst-4122	80	2	the	the	DET
ajst-4122	80	3	experimental	experimental	ADJ
ajst-4122	80	4	detection	detection	NOUN
ajst-4122	80	5	process	process	NOUN
ajst-4122	80	6	,	,	PUNCT
ajst-4122	80	7	the	the	DET
ajst-4122	80	8	time	time	NOUN
ajst-4122	80	9	required	require	VERB
ajst-4122	80	10	for	for	ADP
ajst-4122	80	11	an	an	DET
ajst-4122	80	12	image	image	NOUN
ajst-4122	80	13	to	to	PART
ajst-4122	80	14	be	be	AUX
ajst-4122	80	15	detected	detect	VERB
ajst-4122	80	16	by	by	ADP
ajst-4122	80	17	the	the	DET
ajst-4122	80	18	original	original	ADJ
ajst-4122	80	19	faster	fast	ADJ
ajst-4122	80	20	rcnn	rcnn	NOUN
ajst-4122	80	21	is	be	AUX
ajst-4122	80	22	85.645ms	85.645ms	NUM
ajst-4122	80	23	.	.	PUNCT
ajst-4122	81	1	by	by	ADP
ajst-4122	81	2	replacing	replace	VERB
ajst-4122	81	3	the	the	DET
ajst-4122	81	4	backbone	backbone	NOUN
ajst-4122	81	5	network	network	NOUN
ajst-4122	81	6	with	with	ADP
ajst-4122	81	7	a	a	DET
ajst-4122	81	8	lightweight	lightweight	ADJ
ajst-4122	81	9	network	network	NOUN
ajst-4122	81	10	,	,	PUNCT
ajst-4122	81	11	the	the	DET
ajst-4122	81	12	detection	detection	NOUN
ajst-4122	81	13	speed	speed	NOUN
ajst-4122	81	14	of	of	ADP
ajst-4122	81	15	the	the	DET
ajst-4122	81	16	improved	improve	VERB
ajst-4122	81	17	faster	fast	ADJ
ajst-4122	81	18	rcnn	rcnn	PROPN
ajst-4122	81	19	detection	detection	NOUN
ajst-4122	81	20	model	model	NOUN
ajst-4122	81	21	is	be	AUX
ajst-4122	81	22	62.175ms	62.175ms	NUM
ajst-4122	81	23	,	,	PUNCT
ajst-4122	81	24	indicating	indicate	VERB
ajst-4122	81	25	a	a	DET
ajst-4122	81	26	great	great	ADJ
ajst-4122	81	27	improvement	improvement	NOUN
ajst-4122	81	28	in	in	ADP
ajst-4122	81	29	the	the	DET
ajst-4122	81	30	detection	detection	NOUN
ajst-4122	81	31	speed	speed	NOUN
ajst-4122	81	32	.	.	PUNCT
ajst-4122	82	1	the	the	DET
ajst-4122	82	2	test	test	NOUN
ajst-4122	82	3	results	result	NOUN
ajst-4122	82	4	of	of	ADP
ajst-4122	82	5	the	the	DET
ajst-4122	82	6	original	original	ADJ
ajst-4122	82	7	faster	fast	ADJ
ajst-4122	82	8	rcnn	rcnn	NOUN
ajst-4122	82	9	and	and	CCONJ
ajst-4122	82	10	improved	improve	VERB
ajst-4122	82	11	faster	fast	ADJ
ajst-4122	82	12	rcnn	rcnn	PROPN
ajst-4122	82	13	are	be	AUX
ajst-4122	82	14	shown	show	VERB
ajst-4122	82	15	in	in	ADP
ajst-4122	82	16	table	table	NOUN
ajst-4122	82	17	1	1	NUM
ajst-4122	82	18	.	.	PUNCT
ajst-4122	82	19	table	table	NOUN
ajst-4122	82	20	1	1	NUM
ajst-4122	82	21	.	.	PUNCT
ajst-4122	82	22	comparison	comparison	NOUN
ajst-4122	82	23	of	of	ADP
ajst-4122	82	24	experimental	experimental	ADJ
ajst-4122	82	25	results	result	NOUN
ajst-4122	82	26	model	model	PROPN
ajst-4122	82	27	precision	precision	NOUN
ajst-4122	82	28	/%	/%	PUNCT
ajst-4122	82	29	recall/%	recall/%	PROPN
ajst-4122	83	1	map/%	map/%	PROPN
ajst-4122	83	2	faster	fast	ADV
ajst-4122	83	3	rcnn	rcnn	PROPN
ajst-4122	83	4	89.3	89.3	NUM
ajst-4122	83	5	85.6	85.6	NUM
ajst-4122	83	6	87.2	87.2	NUM
ajst-4122	83	7	faster	fast	ADJ
ajst-4122	83	8	rcnn	rcnn	NOUN
ajst-4122	84	1	+	+	PROPN
ajst-4122	84	2	mobilev2+cbam	mobilev2+cbam	PROPN
ajst-4122	84	3	95.7	95.7	NUM
ajst-4122	84	4	88.4	88.4	NUM
ajst-4122	84	5	89.5	89.5	NUM
ajst-4122	84	6	as	as	SCONJ
ajst-4122	84	7	shown	show	VERB
ajst-4122	84	8	in	in	ADP
ajst-4122	84	9	table	table	NOUN
ajst-4122	84	10	1	1	NUM
ajst-4122	84	11	,	,	PUNCT
ajst-4122	84	12	compared	compare	VERB
ajst-4122	84	13	with	with	ADP
ajst-4122	84	14	the	the	DET
ajst-4122	84	15	original	original	ADJ
ajst-4122	84	16	network	network	NOUN
ajst-4122	84	17	model	model	NOUN
ajst-4122	84	18	,	,	PUNCT
ajst-4122	84	19	the	the	DET
ajst-4122	84	20	detection	detection	NOUN
ajst-4122	84	21	effect	effect	NOUN
ajst-4122	84	22	of	of	ADP
ajst-4122	84	23	the	the	DET
ajst-4122	84	24	improved	improved	ADJ
ajst-4122	84	25	network	network	NOUN
ajst-4122	84	26	model	model	NOUN
ajst-4122	84	27	has	have	AUX
ajst-4122	84	28	been	be	AUX
ajst-4122	84	29	greatly	greatly	ADV
ajst-4122	84	30	improved	improve	VERB
ajst-4122	84	31	,	,	PUNCT
ajst-4122	84	32	with	with	SCONJ
ajst-4122	84	33	the	the	DET
ajst-4122	84	34	accuracy	accuracy	NOUN
ajst-4122	84	35	increased	increase	VERB
ajst-4122	84	36	by	by	ADP
ajst-4122	84	37	6.4	6.4	NUM
ajst-4122	84	38	%	%	NOUN
ajst-4122	84	39	to	to	ADP
ajst-4122	84	40	95.7	95.7	NUM
ajst-4122	84	41	%	%	NOUN
ajst-4122	84	42	.	.	PUNCT
ajst-4122	85	1	recall	recall	PROPN
ajst-4122	85	2	increased	increase	VERB
ajst-4122	85	3	by	by	ADP
ajst-4122	85	4	2.8	2.8	NUM
ajst-4122	85	5	%	%	NOUN
ajst-4122	85	6	and	and	CCONJ
ajst-4122	85	7	map	map	NOUN
ajst-4122	85	8	increased	increase	VERB
ajst-4122	85	9	by	by	ADP
ajst-4122	85	10	2.3	2.3	NUM
ajst-4122	85	11	%	%	NOUN
ajst-4122	85	12	.	.	PUNCT
ajst-4122	86	1	the	the	DET
ajst-4122	86	2	detection	detection	NOUN
ajst-4122	86	3	effect	effect	NOUN
ajst-4122	86	4	has	have	AUX
ajst-4122	86	5	been	be	AUX
ajst-4122	86	6	significantly	significantly	ADV
ajst-4122	86	7	improved	improve	VERB
ajst-4122	86	8	.	.	PUNCT
ajst-4122	87	1	part	part	NOUN
ajst-4122	87	2	of	of	ADP
ajst-4122	87	3	the	the	DET
ajst-4122	87	4	detection	detection	NOUN
ajst-4122	87	5	effect	effect	NOUN
ajst-4122	87	6	diagram	diagram	NOUN
ajst-4122	87	7	is	be	AUX
ajst-4122	87	8	shown	show	VERB
ajst-4122	87	9	in	in	ADP
ajst-4122	87	10	figure	figure	NOUN
ajst-4122	87	11	5	5	NUM
ajst-4122	87	12	.	.	PUNCT
ajst-4122	88	1	the	the	DET
ajst-4122	88	2	detection	detection	NOUN
ajst-4122	88	3	confidence	confidence	NOUN
ajst-4122	88	4	of	of	ADP
ajst-4122	88	5	cracks	crack	NOUN
ajst-4122	88	6	is	be	AUX
ajst-4122	88	7	94	94	NUM
ajst-4122	88	8	%	%	NOUN
ajst-4122	88	9	and	and	CCONJ
ajst-4122	88	10	95	95	NUM
ajst-4122	88	11	%	%	NOUN
ajst-4122	88	12	respectively	respectively	ADV
ajst-4122	88	13	,	,	PUNCT
ajst-4122	88	14	and	and	CCONJ
ajst-4122	88	15	the	the	DET
ajst-4122	88	16	detection	detection	NOUN
ajst-4122	88	17	results	result	NOUN
ajst-4122	88	18	can	can	AUX
ajst-4122	88	19	meet	meet	VERB
ajst-4122	88	20	the	the	DET
ajst-4122	88	21	requirements	requirement	NOUN
ajst-4122	88	22	of	of	ADP
ajst-4122	88	23	airport	airport	NOUN
ajst-4122	88	24	runway	runway	NOUN
ajst-4122	88	25	crack	crack	NOUN
ajst-4122	88	26	detection	detection	NOUN
ajst-4122	88	27	.	.	PUNCT
ajst-4122	89	1	figure	figure	NOUN
ajst-4122	89	2	5	5	NUM
ajst-4122	89	3	.	.	PUNCT
ajst-4122	89	4	test	test	NOUN
ajst-4122	89	5	results	result	VERB
ajst-4122	89	6	4	4	NUM
ajst-4122	89	7	.	.	PUNCT
ajst-4122	89	8	conclusion	conclusion	NOUN
ajst-4122	89	9	in	in	ADP
ajst-4122	89	10	this	this	DET
ajst-4122	89	11	paper	paper	NOUN
ajst-4122	89	12	,	,	PUNCT
ajst-4122	89	13	for	for	ADP
ajst-4122	89	14	faster	fast	ADJ
ajst-4122	89	15	rcnn	rcnn	PROPN
ajst-4122	89	16	network	network	PROPN
ajst-4122	89	17	,	,	PUNCT
ajst-4122	89	18	the	the	DET
ajst-4122	89	19	complex	complex	ADJ
ajst-4122	89	20	132	132	NUM
ajst-4122	89	21	network	network	NOUN
ajst-4122	89	22	structure	structure	NOUN
ajst-4122	89	23	is	be	AUX
ajst-4122	89	24	modified	modify	VERB
ajst-4122	89	25	,	,	PUNCT
ajst-4122	89	26	lightweight	lightweight	ADJ
ajst-4122	89	27	mobilenetv2	mobilenetv2	PROPN
ajst-4122	89	28	network	network	NOUN
ajst-4122	89	29	is	be	AUX
ajst-4122	89	30	used	use	VERB
ajst-4122	89	31	to	to	PART
ajst-4122	89	32	replace	replace	VERB
ajst-4122	89	33	the	the	DET
ajst-4122	89	34	original	original	ADJ
ajst-4122	89	35	backbone	backbone	NOUN
ajst-4122	89	36	network	network	NOUN
ajst-4122	89	37	,	,	PUNCT
ajst-4122	89	38	and	and	CCONJ
ajst-4122	89	39	cbam	cbam	NOUN
ajst-4122	89	40	attention	attention	NOUN
ajst-4122	89	41	mechanism	mechanism	NOUN
ajst-4122	89	42	is	be	AUX
ajst-4122	89	43	used	use	VERB
ajst-4122	89	44	to	to	PART
ajst-4122	89	45	improve	improve	VERB
ajst-4122	89	46	the	the	DET
ajst-4122	89	47	feature	feature	NOUN
ajst-4122	89	48	extraction	extraction	NOUN
ajst-4122	89	49	capability	capability	NOUN
ajst-4122	89	50	of	of	ADP
ajst-4122	89	51	the	the	DET
ajst-4122	89	52	network	network	NOUN
ajst-4122	89	53	.	.	PUNCT
ajst-4122	90	1	through	through	ADP
ajst-4122	90	2	experiments	experiment	NOUN
ajst-4122	90	3	,	,	PUNCT
ajst-4122	90	4	the	the	DET
ajst-4122	90	5	improved	improve	VERB
ajst-4122	90	6	faster	fast	ADJ
ajst-4122	90	7	rcnn	rcnn	PROPN
ajst-4122	90	8	network	network	PROPN
ajst-4122	90	9	can	can	AUX
ajst-4122	90	10	be	be	AUX
ajst-4122	90	11	used	use	VERB
ajst-4122	90	12	for	for	ADP
ajst-4122	90	13	crack	crack	NOUN
ajst-4122	90	14	detection	detection	NOUN
ajst-4122	90	15	of	of	ADP
ajst-4122	90	16	airport	airport	NOUN
ajst-4122	90	17	pavement	pavement	NOUN
ajst-4122	90	18	,	,	PUNCT
ajst-4122	90	19	and	and	CCONJ
ajst-4122	90	20	the	the	DET
ajst-4122	90	21	detection	detection	NOUN
ajst-4122	90	22	accuracy	accuracy	NOUN
ajst-4122	90	23	of	of	ADP
ajst-4122	90	24	crack	crack	NOUN
ajst-4122	90	25	diseases	disease	NOUN
ajst-4122	90	26	meets	meet	VERB
ajst-4122	90	27	the	the	DET
ajst-4122	90	28	application	application	NOUN
ajst-4122	90	29	requirements	requirement	NOUN
ajst-4122	90	30	.	.	PUNCT
ajst-4122	91	1	in	in	ADP
ajst-4122	91	2	the	the	DET
ajst-4122	91	3	follow	follow	VERB
ajst-4122	91	4	-	-	PUNCT
ajst-4122	91	5	up	up	ADP
ajst-4122	91	6	research	research	NOUN
ajst-4122	91	7	work	work	NOUN
ajst-4122	91	8	,	,	PUNCT
ajst-4122	91	9	we	we	PRON
ajst-4122	91	10	can	can	AUX
ajst-4122	91	11	continue	continue	VERB
ajst-4122	91	12	to	to	PART
ajst-4122	91	13	consider	consider	VERB
ajst-4122	91	14	improving	improve	VERB
ajst-4122	91	15	the	the	DET
ajst-4122	91	16	detection	detection	NOUN
ajst-4122	91	17	speed	speed	NOUN
ajst-4122	91	18	of	of	ADP
ajst-4122	91	19	network	network	NOUN
ajst-4122	91	20	models	model	NOUN
ajst-4122	91	21	.	.	PUNCT
ajst-4122	92	1	references	reference	NOUN
ajst-4122	92	2	[	[	X
ajst-4122	92	3	1	1	NUM
ajst-4122	92	4	]	]	PUNCT
ajst-4122	92	5	zou	zou	PROPN
ajst-4122	92	6	z	z	PROPN
ajst-4122	92	7	,	,	PUNCT
ajst-4122	92	8	shi	shi	PROPN
ajst-4122	92	9	z	z	PROPN
ajst-4122	92	10	,	,	PUNCT
ajst-4122	92	11	guo	guo	PROPN
ajst-4122	92	12	y	y	PROPN
ajst-4122	92	13	,	,	PUNCT
ajst-4122	92	14	et	et	PROPN
ajst-4122	92	15	al	al	PROPN
ajst-4122	92	16	.	.	PROPN
ajst-4122	92	17	2019	2019	NUM
ajst-4122	92	18	.	.	PUNCT
ajst-4122	93	1	object	object	NOUN
ajst-4122	93	2	detection	detection	NOUN
ajst-4122	93	3	in	in	ADP
ajst-4122	93	4	20	20	NUM
ajst-4122	93	5	years	year	NOUN
ajst-4122	93	6	:	:	PUNCT
ajst-4122	93	7	a	a	DET
ajst-4122	93	8	survey[j	survey[j	NOUN
ajst-4122	93	9	]	]	PUNCT
ajst-4122	93	10	.	.	PUNCT
ajst-4122	94	1	arxiv:1905.05055	arxiv:1905.05055	NOUN
ajst-4122	95	1	[	[	X
ajst-4122	95	2	2	2	X
ajst-4122	95	3	]	]	X
ajst-4122	95	4	girshick	girshick	ADJ
ajst-4122	95	5	r	r	PROPN
ajst-4122	95	6	,	,	PUNCT
ajst-4122	95	7	donahue	donahue	PROPN
ajst-4122	95	8	j	j	PROPN
ajst-4122	95	9	,	,	PUNCT
ajst-4122	95	10	darrell	darrell	PROPN
ajst-4122	95	11	t	t	PROPN
ajst-4122	95	12	,	,	PUNCT
ajst-4122	95	13	et	et	PROPN
ajst-4122	95	14	al	al	PROPN
ajst-4122	95	15	.	.	PROPN
ajst-4122	95	16	2014	2014	NUM
ajst-4122	95	17	.	.	PUNCT
ajst-4122	96	1	rich	rich	ADJ
ajst-4122	96	2	feature	feature	NOUN
ajst-4122	96	3	hierarchies	hierarchy	NOUN
ajst-4122	96	4	for	for	ADP
ajst-4122	96	5	accurate	accurate	ADJ
ajst-4122	96	6	object	object	NOUN
ajst-4122	96	7	detection	detection	NOUN
ajst-4122	96	8	and	and	CCONJ
ajst-4122	96	9	semantic	semantic	ADJ
ajst-4122	96	10	segmentation[c	segmentation[c	NOUN
ajst-4122	96	11	]	]	PUNCT
ajst-4122	96	12	.	.	PUNCT
ajst-4122	97	1	2014	2014	NUM
ajst-4122	97	2	ieee	ieee	NOUN
ajst-4122	97	3	conference	conference	NOUN
ajst-4122	97	4	on	on	ADP
ajst-4122	97	5	computer	computer	NOUN
ajst-4122	97	6	vision	vision	NOUN
ajst-4122	97	7	and	and	CCONJ
ajst-4122	97	8	pattern	pattern	NOUN
ajst-4122	97	9	recognition(cvpr	recognition(cvpr	NOUN
ajst-4122	97	10	)	)	PUNCT
ajst-4122	97	11	,	,	PUNCT
ajst-4122	97	12	columbus	columbus	PROPN
ajst-4122	97	13	,	,	PUNCT
ajst-4122	97	14	oh	oh	INTJ
ajst-4122	97	15	,	,	PUNCT
ajst-4122	97	16	usa	usa	PROPN
ajst-4122	97	17	,	,	PUNCT
ajst-4122	97	18	580587	580587	NUM
ajst-4122	97	19	.	.	PUNCT
ajst-4122	98	1	[	[	X
ajst-4122	98	2	3	3	X
ajst-4122	98	3	]	]	X
ajst-4122	98	4	girshick	girshick	PROPN
ajst-4122	98	5	r.	r.	PROPN
ajst-4122	98	6	2015	2015	NUM
ajst-4122	98	7	.	.	PUNCT
ajst-4122	99	1	fast	fast	ADJ
ajst-4122	99	2	r	r	NOUN
ajst-4122	99	3	-	-	PUNCT
ajst-4122	99	4	cnn[c]//	cnn[c]//	ADJ
ajst-4122	99	5	2015	2015	NUM
ajst-4122	99	6	ieee	ieee	NOUN
ajst-4122	99	7	international	international	ADJ
ajst-4122	99	8	conference	conference	NOUN
ajst-4122	99	9	on	on	ADP
ajst-4122	99	10	computer	computer	NOUN
ajst-4122	99	11	vision(iccv	vision(iccv	PROPN
ajst-4122	99	12	)	)	PUNCT
ajst-4122	99	13	,	,	PUNCT
ajst-4122	99	14	santiago	santiago	PROPN
ajst-4122	99	15	,	,	PUNCT
ajst-4122	99	16	chile	chile	PROPN
ajst-4122	99	17	,	,	PUNCT
ajst-4122	99	18	1440	1440	NUM
ajst-4122	99	19	-	-	SYM
ajst-4122	99	20	1448	1448	NUM
ajst-4122	99	21	.	.	PUNCT
ajst-4122	100	1	[	[	X
ajst-4122	100	2	4	4	X
ajst-4122	100	3	]	]	X
ajst-4122	100	4	ren	ren	PROPN
ajst-4122	100	5	s	s	PROPN
ajst-4122	100	6	,	,	PUNCT
ajst-4122	100	7	he	he	PRON
ajst-4122	100	8	k	k	NOUN
ajst-4122	100	9	,	,	PUNCT
ajst-4122	100	10	girshick	girshick	ADJ
ajst-4122	100	11	r	r	NOUN
ajst-4122	100	12	,	,	PUNCT
ajst-4122	100	13	et	et	PROPN
ajst-4122	100	14	al	al	PROPN
ajst-4122	100	15	.	.	PROPN
ajst-4122	100	16	2015	2015	NUM
ajst-4122	100	17	.	.	PUNCT
ajst-4122	101	1	faster	fast	ADJ
ajst-4122	101	2	r	r	NOUN
ajst-4122	101	3	-	-	PUNCT
ajst-4122	101	4	cnn	cnn	NOUN
ajst-4122	101	5	:	:	PUNCT
ajst-4122	101	6	towards	towards	ADP
ajst-4122	101	7	real	real	ADJ
ajst-4122	101	8	-	-	PUNCT
ajst-4122	101	9	time	time	NOUN
ajst-4122	101	10	object	object	NOUN
ajst-4122	101	11	detection	detection	NOUN
ajst-4122	101	12	with	with	ADP
ajst-4122	101	13	region	region	NOUN
ajst-4122	101	14	proposal	proposal	NOUN
ajst-4122	101	15	networks[c	networks[c	PROPN
ajst-4122	101	16	]	]	X
ajst-4122	101	17	//	//	X
ajst-4122	101	18	advances	advance	NOUN
ajst-4122	101	19	in	in	ADP
ajst-4122	101	20	neural	neural	ADJ
ajst-4122	101	21	information	information	NOUN
ajst-4122	101	22	processing	processing	NOUN
ajst-4122	101	23	systems	system	NOUN
ajst-4122	101	24	2015	2015	NUM
ajst-4122	101	25	,	,	PUNCT
ajst-4122	101	26	9199	9199	NUM
ajst-4122	101	27	.	.	PUNCT
ajst-4122	102	1	[	[	X
ajst-4122	102	2	5	5	NUM
ajst-4122	102	3	]	]	X
ajst-4122	102	4	woo	woo	NOUN
ajst-4122	102	5	s	s	PROPN
ajst-4122	102	6	,	,	PUNCT
ajst-4122	102	7	park	park	PROPN
ajst-4122	102	8	j	j	PROPN
ajst-4122	102	9	,	,	PUNCT
ajst-4122	102	10	lee	lee	PROPN
ajst-4122	102	11	j	j	PROPN
ajst-4122	102	12	y	y	PROPN
ajst-4122	102	13	,	,	PUNCT
ajst-4122	102	14	et	et	PROPN
ajst-4122	102	15	al	al	PROPN
ajst-4122	102	16	.	.	PROPN
ajst-4122	102	17	2018	2018	NUM
ajst-4122	102	18	.	.	PUNCT
ajst-4122	103	1	cbam	cbam	NOUN
ajst-4122	103	2	:	:	PUNCT
ajst-4122	103	3	convolutional	convolutional	ADJ
ajst-4122	103	4	block	block	NOUN
ajst-4122	103	5	attention	attention	NOUN
ajst-4122	103	6	module[j	module[j	PROPN
ajst-4122	103	7	]	]	PUNCT
ajst-4122	103	8	.	.	PUNCT
ajst-4122	104	1	2018	2018	NUM
ajst-4122	104	2	european	european	ADJ
ajst-4122	104	3	conference	conference	NOUN
ajst-4122	104	4	on	on	ADP
ajst-4122	104	5	computer	computer	NOUN
ajst-4122	104	6	vision	vision	NOUN
ajst-4122	104	7	,	,	PUNCT
ajst-4122	104	8	3	3	NUM
ajst-4122	104	9	-	-	SYM
ajst-4122	104	10	19	19	NUM
ajst-4122	104	11	.	.	PUNCT
ajst-4122	105	1	[	[	X
ajst-4122	105	2	6	6	NUM
ajst-4122	105	3	]	]	PUNCT
ajst-4122	105	4	he	he	PRON
ajst-4122	105	5	k	k	PROPN
ajst-4122	105	6	,	,	PUNCT
ajst-4122	105	7	zhang	zhang	PROPN
ajst-4122	105	8	x	x	PROPN
ajst-4122	105	9	,	,	PUNCT
ajst-4122	105	10	ren	ren	PROPN
ajst-4122	105	11	s	s	PROPN
ajst-4122	105	12	,	,	PUNCT
ajst-4122	105	13	et	et	PROPN
ajst-4122	105	14	al	al	PROPN
ajst-4122	105	15	.	.	PROPN
ajst-4122	105	16	2016	2016	NUM
ajst-4122	105	17	.	.	PUNCT
ajst-4122	106	1	deep	deep	ADJ
ajst-4122	106	2	residual	residual	ADJ
ajst-4122	106	3	learning	learning	NOUN
ajst-4122	106	4	for	for	ADP
ajst-4122	106	5	image	image	NOUN
ajst-4122	106	6	recognition[c	recognition[c	PROPN
ajst-4122	106	7	]	]	PUNCT
ajst-4122	106	8	//	//	NUM
ajst-4122	106	9	2016	2016	NUM
ajst-4122	106	10	ieee	ieee	NOUN
ajst-4122	106	11	conference	conference	NOUN
ajst-4122	106	12	on	on	ADP
ajst-4122	106	13	computer	computer	NOUN
ajst-4122	106	14	vision	vision	NOUN
ajst-4122	106	15	and	and	CCONJ
ajst-4122	106	16	pattern	pattern	NOUN
ajst-4122	106	17	recognition	recognition	NOUN
ajst-4122	106	18	,	,	PUNCT
ajst-4122	106	19	770	770	NUM
ajst-4122	106	20	-	-	SYM
ajst-4122	106	21	778	778	NUM
ajst-4122	106	22	.	.	PUNCT
ajst-4122	107	1	[	[	X
ajst-4122	107	2	7	7	X
ajst-4122	107	3	]	]	PUNCT
ajst-4122	107	4	he	he	PRON
ajst-4122	107	5	k	k	PROPN
ajst-4122	107	6	,	,	PUNCT
ajst-4122	107	7	zhang	zhang	PROPN
ajst-4122	107	8	x	x	PROPN
ajst-4122	107	9	,	,	PUNCT
ajst-4122	107	10	ren	ren	PROPN
ajst-4122	107	11	s	s	PROPN
ajst-4122	107	12	,	,	PUNCT
ajst-4122	107	13	et	et	PROPN
ajst-4122	107	14	al	al	PROPN
ajst-4122	107	15	.	.	PROPN
ajst-4122	107	16	2015	2015	NUM
ajst-4122	107	17	.	.	PUNCT
ajst-4122	108	1	spatial	spatial	ADJ
ajst-4122	108	2	pyramid	pyramid	NOUN
ajst-4122	108	3	pooling	pool	VERB
ajst-4122	108	4	in	in	ADP
ajst-4122	108	5	deep	deep	ADJ
ajst-4122	108	6	convolutional	convolutional	ADJ
ajst-4122	108	7	networks	network	NOUN
ajst-4122	108	8	for	for	ADP
ajst-4122	108	9	visual	visual	ADJ
ajst-4122	108	10	recognition[j	recognition[j	NOUN
ajst-4122	108	11	]	]	PUNCT
ajst-4122	108	12	.	.	PUNCT
ajst-4122	109	1	ieee	ieee	NOUN
ajst-4122	109	2	transactions	transaction	NOUN
ajst-4122	109	3	on	on	ADP
ajst-4122	109	4	pattern	pattern	NOUN
ajst-4122	109	5	analysis	analysis	NOUN
ajst-4122	109	6	and	and	CCONJ
ajst-4122	109	7	machine	machine	NOUN
ajst-4122	109	8	intelligence	intelligence	NOUN
ajst-4122	109	9	,	,	PUNCT
ajst-4122	109	10	37(9	37(9	NUM
ajst-4122	109	11	):	):	PUNCT
ajst-4122	109	12	1904	1904	NUM
ajst-4122	109	13	-	-	SYM
ajst-4122	109	14	1916	1916	NUM
ajst-4122	109	15	.	.	PUNCT
ajst-4122	110	1	[	[	X
ajst-4122	110	2	8	8	NUM
ajst-4122	110	3	]	]	X
ajst-4122	110	4	tong	tong	PROPN
ajst-4122	110	5	z	z	PROPN
ajst-4122	110	6	,	,	PUNCT
ajst-4122	110	7	gao	gao	PROPN
ajst-4122	110	8	j	j	PROPN
ajst-4122	110	9	,	,	PUNCT
ajst-4122	110	10	han	han	PROPN
ajst-4122	110	11	z	z	PROPN
ajst-4122	110	12	q	q	PROPN
ajst-4122	110	13	,	,	PUNCT
ajst-4122	110	14	et	et	PROPN
ajst-4122	110	15	al	al	PROPN
ajst-4122	110	16	.	.	PROPN
ajst-4122	110	17	2017a	2017a	NUM
ajst-4122	110	18	.	.	PUNCT
ajst-4122	111	1	recognition	recognition	NOUN
ajst-4122	111	2	of	of	ADP
ajst-4122	111	3	asphalt	asphalt	NOUN
ajst-4122	111	4	pavement	pavement	NOUN
ajst-4122	111	5	crack	crack	NOUN
ajst-4122	111	6	length	length	NOUN
ajst-4122	111	7	using	use	VERB
ajst-4122	111	8	deep	deep	ADJ
ajst-4122	111	9	convolutional	convolutional	ADJ
ajst-4122	111	10	neural	neural	ADJ
ajst-4122	111	11	networks[j	networks[j	PROPN
ajst-4122	111	12	]	]	PUNCT
ajst-4122	111	13	.	.	PUNCT
ajst-4122	112	1	road	road	NOUN
ajst-4122	112	2	material	material	NOUN
ajst-4122	112	3	and	and	CCONJ
ajst-4122	112	4	pavement	pavement	NOUN
ajst-4122	112	5	design	design	NOUN
ajst-4122	112	6	,	,	PUNCT
ajst-4122	112	7	19(6	19(6	NUM
ajst-4122	112	8	):	):	PUNCT
ajst-4122	112	9	13341349	13341349	NUM
ajst-4122	112	10	.	.	PUNCT