id	sid	tid	token	lemma	pos
fcis-6485	1	1	frontiers	frontier	NOUN
fcis-6485	1	2	in	in	ADP
fcis-6485	1	3	computing	computing	NOUN
fcis-6485	1	4	and	and	CCONJ
fcis-6485	1	5	intelligent	intelligent	ADJ
fcis-6485	1	6	systems	system	NOUN
fcis-6485	1	7	issn	issn	VERB
fcis-6485	1	8	:	:	PUNCT
fcis-6485	1	9	2832	2832	NUM
fcis-6485	1	10	-	-	SYM
fcis-6485	1	11	6024	6024	NUM
fcis-6485	1	12	|	|	NOUN
fcis-6485	1	13	vol	vol	NOUN
fcis-6485	1	14	.	.	PROPN
fcis-6485	2	1	3	3	NUM
fcis-6485	2	2	,	,	PUNCT
fcis-6485	2	3	no	no	INTJ
fcis-6485	2	4	.	.	NOUN
fcis-6485	2	5	2	2	NUM
fcis-6485	2	6	,	,	PUNCT
fcis-6485	2	7	2023	2023	NUM
fcis-6485	2	8	1	1	NUM
fcis-6485	2	9	defect	defect	NOUN
fcis-6485	2	10	detection	detection	NOUN
fcis-6485	2	11	algorithm	algorithm	NOUN
fcis-6485	2	12	for	for	ADP
fcis-6485	2	13	image	image	NOUN
fcis-6485	2	14	reconstruction	reconstruction	NOUN
fcis-6485	2	15	based	base	VERB
fcis-6485	2	16	on	on	ADP
fcis-6485	2	17	the	the	DET
fcis-6485	2	18	self	self	NOUN
fcis-6485	2	19	-	-	PUNCT
fcis-6485	2	20	attentive	attentive	ADJ
fcis-6485	2	21	mechanism	mechanism	NOUN
fcis-6485	2	22	han	han	PROPN
fcis-6485	2	23	fu1,2	fu1,2	PROPN
fcis-6485	2	24	*	*	PROPN
fcis-6485	2	25	,	,	PUNCT
fcis-6485	2	26	jie	jie	PROPN
fcis-6485	3	1	gong1,2	gong1,2	PROPN
fcis-6485	3	2	1	1	NUM
fcis-6485	3	3	department	department	NOUN
fcis-6485	3	4	of	of	ADP
fcis-6485	3	5	machinery	machinery	NOUN
fcis-6485	3	6	,	,	PUNCT
fcis-6485	3	7	wuhan	wuhan	PROPN
fcis-6485	3	8	textile	textile	PROPN
fcis-6485	3	9	university	university	PROPN
fcis-6485	3	10	,	,	PUNCT
fcis-6485	3	11	wuhan	wuhan	PROPN
fcis-6485	3	12	,	,	PUNCT
fcis-6485	3	13	hubei	hubei	PROPN
fcis-6485	3	14	430074	430074	NUM
fcis-6485	3	15	,	,	PUNCT
fcis-6485	3	16	china	china	PROPN
fcis-6485	3	17	.	.	PROPN
fcis-6485	4	1	2	2	NUM
fcis-6485	4	2	hubei	hubei	PROPN
fcis-6485	4	3	key	key	ADJ
fcis-6485	4	4	laboratory	laboratory	NOUN
fcis-6485	4	5	of	of	ADP
fcis-6485	4	6	digital	digital	ADJ
fcis-6485	4	7	textile	textile	NOUN
fcis-6485	4	8	equipment	equipment	NOUN
fcis-6485	4	9	,	,	PUNCT
fcis-6485	4	10	wuhan	wuhan	PROPN
fcis-6485	4	11	textile	textile	PROPN
fcis-6485	4	12	university	university	PROPN
fcis-6485	4	13	,	,	PUNCT
fcis-6485	4	14	wuhan	wuhan	PROPN
fcis-6485	4	15	,	,	PUNCT
fcis-6485	4	16	hubei	hubei	PROPN
fcis-6485	4	17	430074	430074	NUM
fcis-6485	4	18	,	,	PUNCT
fcis-6485	4	19	china	china	PROPN
fcis-6485	4	20	.	.	PUNCT
fcis-6485	5	1	*	*	PUNCT
fcis-6485	5	2	corresponding	correspond	VERB
fcis-6485	5	3	author	author	NOUN
fcis-6485	5	4	:	:	PUNCT
fcis-6485	5	5	han	han	PROPN
fcis-6485	5	6	fu	fu	PROPN
fcis-6485	5	7	(	(	PUNCT
fcis-6485	5	8	email	email	NOUN
fcis-6485	5	9	:	:	PUNCT
fcis-6485	5	10	838043902@qq.com	838043902@qq.com	NUM
fcis-6485	5	11	)	)	PUNCT
fcis-6485	5	12	abstract	abstract	NOUN
fcis-6485	5	13	:	:	PUNCT
fcis-6485	5	14	in	in	ADP
fcis-6485	5	15	this	this	DET
fcis-6485	5	16	paper	paper	NOUN
fcis-6485	5	17	,	,	PUNCT
fcis-6485	5	18	we	we	PRON
fcis-6485	5	19	propose	propose	VERB
fcis-6485	5	20	an	an	DET
fcis-6485	5	21	image	image	NOUN
fcis-6485	5	22	reconstruction	reconstruction	NOUN
fcis-6485	5	23	method	method	NOUN
fcis-6485	5	24	for	for	ADP
fcis-6485	5	25	defect	defect	NOUN
fcis-6485	5	26	detection	detection	NOUN
fcis-6485	5	27	,	,	PUNCT
fcis-6485	5	28	which	which	PRON
fcis-6485	5	29	introduces	introduce	VERB
fcis-6485	5	30	a	a	DET
fcis-6485	5	31	self	self	NOUN
fcis-6485	5	32	-	-	PUNCT
fcis-6485	5	33	attentive	attentive	ADJ
fcis-6485	5	34	mechanism	mechanism	NOUN
fcis-6485	5	35	into	into	ADP
fcis-6485	5	36	the	the	DET
fcis-6485	5	37	generative	generative	ADJ
fcis-6485	5	38	adversarial	adversarial	ADJ
fcis-6485	5	39	neural	neural	ADJ
fcis-6485	5	40	network	network	NOUN
fcis-6485	5	41	to	to	PART
fcis-6485	5	42	make	make	VERB
fcis-6485	5	43	it	it	PRON
fcis-6485	5	44	capable	capable	ADJ
fcis-6485	5	45	of	of	ADP
fcis-6485	5	46	extracting	extract	VERB
fcis-6485	5	47	global	global	ADJ
fcis-6485	5	48	features	feature	NOUN
fcis-6485	5	49	in	in	ADP
fcis-6485	5	50	response	response	NOUN
fcis-6485	5	51	to	to	ADP
fcis-6485	5	52	the	the	DET
fcis-6485	5	53	weak	weak	ADJ
fcis-6485	5	54	ability	ability	NOUN
fcis-6485	5	55	of	of	ADP
fcis-6485	5	56	the	the	DET
fcis-6485	5	57	generative	generative	ADJ
fcis-6485	5	58	adversarial	adversarial	ADJ
fcis-6485	5	59	neural	neural	ADJ
fcis-6485	5	60	network	network	NOUN
fcis-6485	5	61	to	to	PART
fcis-6485	5	62	establish	establish	VERB
fcis-6485	5	63	image	image	NOUN
fcis-6485	5	64	remote	remote	ADJ
fcis-6485	5	65	dependencies	dependency	NOUN
fcis-6485	5	66	.	.	PUNCT
fcis-6485	6	1	to	to	PART
fcis-6485	6	2	address	address	VERB
fcis-6485	6	3	the	the	DET
fcis-6485	6	4	problem	problem	NOUN
fcis-6485	6	5	that	that	SCONJ
fcis-6485	6	6	the	the	DET
fcis-6485	6	7	adversarial	adversarial	ADJ
fcis-6485	6	8	loss	loss	NOUN
fcis-6485	6	9	function	function	NOUN
fcis-6485	6	10	is	be	AUX
fcis-6485	6	11	not	not	PART
fcis-6485	6	12	suitable	suitable	ADJ
fcis-6485	6	13	for	for	ADP
fcis-6485	6	14	network	network	NOUN
fcis-6485	6	15	training	training	NOUN
fcis-6485	6	16	,	,	PUNCT
fcis-6485	6	17	a	a	DET
fcis-6485	6	18	pixel	pixel	NOUN
fcis-6485	6	19	-	-	PUNCT
fcis-6485	6	20	by	by	ADP
fcis-6485	6	21	-	-	PUNCT
fcis-6485	6	22	pixel	pixel	NOUN
fcis-6485	6	23	loss	loss	NOUN
fcis-6485	6	24	function	function	NOUN
fcis-6485	6	25	is	be	AUX
fcis-6485	6	26	introduced	introduce	VERB
fcis-6485	6	27	to	to	PART
fcis-6485	6	28	constrain	constrain	VERB
fcis-6485	6	29	the	the	DET
fcis-6485	6	30	image	image	NOUN
fcis-6485	6	31	generated	generate	VERB
fcis-6485	6	32	by	by	ADP
fcis-6485	6	33	the	the	DET
fcis-6485	6	34	generator	generator	NOUN
fcis-6485	6	35	so	so	SCONJ
fcis-6485	6	36	that	that	SCONJ
fcis-6485	6	37	the	the	DET
fcis-6485	6	38	output	output	NOUN
fcis-6485	6	39	does	do	AUX
fcis-6485	6	40	not	not	PART
fcis-6485	6	41	deviate	deviate	VERB
fcis-6485	6	42	too	too	ADV
fcis-6485	6	43	much	much	ADV
fcis-6485	6	44	from	from	ADP
fcis-6485	6	45	the	the	DET
fcis-6485	6	46	true	true	ADJ
fcis-6485	6	47	value	value	NOUN
fcis-6485	6	48	during	during	ADP
fcis-6485	6	49	training	training	NOUN
fcis-6485	6	50	.	.	PUNCT
fcis-6485	7	1	the	the	DET
fcis-6485	7	2	experimental	experimental	ADJ
fcis-6485	7	3	results	result	NOUN
fcis-6485	7	4	show	show	VERB
fcis-6485	7	5	that	that	SCONJ
fcis-6485	7	6	the	the	DET
fcis-6485	7	7	trained	train	VERB
fcis-6485	7	8	gan	gan	PROPN
fcis-6485	7	9	network	network	NOUN
fcis-6485	7	10	can	can	AUX
fcis-6485	7	11	effectively	effectively	ADV
fcis-6485	7	12	reconstruct	reconstruct	VERB
fcis-6485	7	13	the	the	DET
fcis-6485	7	14	defective	defective	ADJ
fcis-6485	7	15	areas	area	NOUN
fcis-6485	7	16	to	to	PART
fcis-6485	7	17	separate	separate	VERB
fcis-6485	7	18	the	the	DET
fcis-6485	7	19	defects	defect	NOUN
fcis-6485	7	20	from	from	ADP
fcis-6485	7	21	the	the	DET
fcis-6485	7	22	background	background	NOUN
fcis-6485	7	23	.	.	PUNCT
fcis-6485	8	1	keywords	keyword	NOUN
fcis-6485	8	2	:	:	PUNCT
fcis-6485	8	3	defect	defect	VERB
fcis-6485	8	4	detection	detection	NOUN
fcis-6485	8	5	;	;	PUNCT
fcis-6485	8	6	image	image	NOUN
fcis-6485	8	7	reconstruction	reconstruction	NOUN
fcis-6485	8	8	;	;	PUNCT
fcis-6485	8	9	loss	loss	NOUN
fcis-6485	8	10	function	function	NOUN
fcis-6485	8	11	;	;	PUNCT
fcis-6485	8	12	self	self	NOUN
fcis-6485	8	13	-	-	PUNCT
fcis-6485	8	14	attentive	attentive	ADJ
fcis-6485	8	15	mechanism	mechanism	NOUN
fcis-6485	8	16	.	.	PUNCT
fcis-6485	9	1	1	1	X
fcis-6485	9	2	.	.	X
fcis-6485	9	3	introduction	introduction	NOUN
fcis-6485	9	4	due	due	ADP
fcis-6485	9	5	to	to	ADP
fcis-6485	9	6	various	various	ADJ
fcis-6485	9	7	factors	factor	NOUN
fcis-6485	9	8	,	,	PUNCT
fcis-6485	9	9	it	it	PRON
fcis-6485	9	10	is	be	AUX
fcis-6485	9	11	inevitable	inevitable	ADJ
fcis-6485	9	12	that	that	SCONJ
fcis-6485	9	13	the	the	DET
fcis-6485	9	14	produced	produce	VERB
fcis-6485	9	15	textile	textile	NOUN
fcis-6485	9	16	will	will	AUX
fcis-6485	9	17	have	have	VERB
fcis-6485	9	18	some	some	DET
fcis-6485	9	19	defects	defect	NOUN
fcis-6485	9	20	,	,	PUNCT
fcis-6485	9	21	but	but	CCONJ
fcis-6485	9	22	it	it	PRON
fcis-6485	9	23	is	be	AUX
fcis-6485	9	24	difficult	difficult	ADJ
fcis-6485	9	25	to	to	PART
fcis-6485	9	26	find	find	VERB
fcis-6485	9	27	the	the	DET
fcis-6485	9	28	defect	defect	NOUN
fcis-6485	9	29	location	location	NOUN
fcis-6485	9	30	because	because	SCONJ
fcis-6485	9	31	the	the	DET
fcis-6485	9	32	textile	textile	NOUN
fcis-6485	9	33	area	area	NOUN
fcis-6485	9	34	is	be	AUX
fcis-6485	9	35	large	large	ADJ
fcis-6485	9	36	and	and	CCONJ
fcis-6485	9	37	the	the	DET
fcis-6485	9	38	defect	defect	NOUN
fcis-6485	9	39	area	area	NOUN
fcis-6485	9	40	is	be	AUX
fcis-6485	9	41	small	small	ADJ
fcis-6485	9	42	.	.	PUNCT
fcis-6485	10	1	traditional	traditional	ADJ
fcis-6485	10	2	manual	manual	ADJ
fcis-6485	10	3	inspection	inspection	NOUN
fcis-6485	10	4	is	be	AUX
fcis-6485	10	5	inefficient	inefficient	ADJ
fcis-6485	10	6	and	and	CCONJ
fcis-6485	10	7	has	have	VERB
fcis-6485	10	8	a	a	DET
fcis-6485	10	9	high	high	ADJ
fcis-6485	10	10	error	error	NOUN
fcis-6485	10	11	rate	rate	NOUN
fcis-6485	10	12	,	,	PUNCT
fcis-6485	10	13	which	which	PRON
fcis-6485	10	14	can	can	AUX
fcis-6485	10	15	not	not	PART
fcis-6485	10	16	meet	meet	VERB
fcis-6485	10	17	the	the	DET
fcis-6485	10	18	demand	demand	NOUN
fcis-6485	10	19	for	for	ADP
fcis-6485	10	20	highspeed	highspeed	NOUN
fcis-6485	10	21	online	online	ADJ
fcis-6485	10	22	inspection	inspection	NOUN
fcis-6485	10	23	.	.	PUNCT
fcis-6485	11	1	traditional	traditional	ADJ
fcis-6485	11	2	defect	defect	NOUN
fcis-6485	11	3	detection	detection	NOUN
fcis-6485	11	4	algorithms	algorithm	NOUN
fcis-6485	11	5	[	[	X
fcis-6485	11	6	1]-[3	1]-[3	X
fcis-6485	11	7	]	]	PUNCT
fcis-6485	11	8	can	can	AUX
fcis-6485	11	9	detect	detect	VERB
fcis-6485	11	10	fabric	fabric	NOUN
fcis-6485	11	11	defects	defect	NOUN
fcis-6485	11	12	quickly	quickly	ADV
fcis-6485	11	13	and	and	CCONJ
fcis-6485	11	14	effectively	effectively	ADV
fcis-6485	11	15	with	with	ADP
fcis-6485	11	16	high	high	ADJ
fcis-6485	11	17	accuracy	accuracy	NOUN
fcis-6485	11	18	,	,	PUNCT
fcis-6485	11	19	but	but	CCONJ
fcis-6485	11	20	they	they	PRON
fcis-6485	11	21	do	do	AUX
fcis-6485	11	22	not	not	PART
fcis-6485	11	23	work	work	VERB
fcis-6485	11	24	well	well	ADV
fcis-6485	11	25	for	for	ADP
fcis-6485	11	26	fabrics	fabric	NOUN
fcis-6485	11	27	with	with	ADP
fcis-6485	11	28	complex	complex	ADJ
fcis-6485	11	29	textures	texture	NOUN
fcis-6485	11	30	.	.	PUNCT
fcis-6485	12	1	since	since	SCONJ
fcis-6485	12	2	alexnet	alexnet	NOUN
fcis-6485	12	3	was	be	AUX
fcis-6485	12	4	proposed	propose	VERB
fcis-6485	12	5	,	,	PUNCT
fcis-6485	12	6	the	the	DET
fcis-6485	12	7	deep	deep	ADJ
fcis-6485	12	8	learning	learning	NOUN
fcis-6485	12	9	method	method	NOUN
fcis-6485	12	10	based	base	VERB
fcis-6485	12	11	on	on	ADP
fcis-6485	12	12	convolutional	convolutional	ADJ
fcis-6485	12	13	neural	neural	ADJ
fcis-6485	12	14	network	network	NOUN
fcis-6485	12	15	(	(	PUNCT
fcis-6485	12	16	cnn	cnn	PROPN
fcis-6485	12	17	)	)	PUNCT
fcis-6485	12	18	has	have	AUX
fcis-6485	12	19	gradually	gradually	ADV
fcis-6485	12	20	become	become	VERB
fcis-6485	12	21	the	the	DET
fcis-6485	12	22	mainstream	mainstream	NOUN
fcis-6485	12	23	method	method	NOUN
fcis-6485	12	24	in	in	ADP
fcis-6485	12	25	the	the	DET
fcis-6485	12	26	field	field	NOUN
fcis-6485	12	27	of	of	ADP
fcis-6485	12	28	defect	defect	ADJ
fcis-6485	12	29	detection	detection	NOUN
fcis-6485	12	30	,	,	PUNCT
fcis-6485	12	31	convolutional	convolutional	ADJ
fcis-6485	12	32	neural	neural	ADJ
fcis-6485	12	33	network	network	NOUN
fcis-6485	12	34	can	can	AUX
fcis-6485	12	35	advance	advance	VERB
fcis-6485	12	36	the	the	DET
fcis-6485	12	37	deeper	deep	ADJ
fcis-6485	12	38	features	feature	NOUN
fcis-6485	12	39	of	of	ADP
fcis-6485	12	40	the	the	DET
fcis-6485	12	41	image	image	NOUN
fcis-6485	12	42	and	and	CCONJ
fcis-6485	12	43	can	can	AUX
fcis-6485	12	44	automatically	automatically	ADV
fcis-6485	12	45	learn	learn	VERB
fcis-6485	12	46	the	the	DET
fcis-6485	12	47	image	image	NOUN
fcis-6485	12	48	features	feature	NOUN
fcis-6485	12	49	,	,	PUNCT
fcis-6485	12	50	which	which	PRON
fcis-6485	12	51	is	be	AUX
fcis-6485	12	52	more	more	ADV
fcis-6485	12	53	effective	effective	ADJ
fcis-6485	12	54	in	in	ADP
fcis-6485	12	55	the	the	DET
fcis-6485	12	56	detection	detection	NOUN
fcis-6485	12	57	of	of	ADP
fcis-6485	12	58	defects	defect	NOUN
fcis-6485	12	59	in	in	ADP
fcis-6485	12	60	images	image	NOUN
fcis-6485	12	61	.	.	PUNCT
fcis-6485	13	1	the	the	DET
fcis-6485	13	2	current	current	ADJ
fcis-6485	13	3	fabric	fabric	NOUN
fcis-6485	13	4	defect	defect	NOUN
fcis-6485	13	5	detection	detection	NOUN
fcis-6485	13	6	method	method	NOUN
fcis-6485	13	7	based	base	VERB
fcis-6485	13	8	on	on	ADP
fcis-6485	13	9	neural	neural	ADJ
fcis-6485	13	10	network	network	NOUN
fcis-6485	13	11	can	can	AUX
fcis-6485	13	12	be	be	AUX
fcis-6485	13	13	divided	divide	VERB
fcis-6485	13	14	into	into	ADP
fcis-6485	13	15	defect	defect	NOUN
fcis-6485	13	16	detection	detection	NOUN
fcis-6485	13	17	method	method	NOUN
fcis-6485	13	18	based	base	VERB
fcis-6485	13	19	on	on	ADP
fcis-6485	13	20	objective	objective	ADJ
fcis-6485	13	21	detection	detection	NOUN
fcis-6485	13	22	algorithm	algorithm	NOUN
fcis-6485	13	23	and	and	CCONJ
fcis-6485	13	24	defect	defect	NOUN
fcis-6485	13	25	detection	detection	NOUN
fcis-6485	13	26	method	method	NOUN
fcis-6485	13	27	based	base	VERB
fcis-6485	13	28	on	on	ADP
fcis-6485	13	29	image	image	NOUN
fcis-6485	13	30	segmentation	segmentation	NOUN
fcis-6485	13	31	.	.	PUNCT
fcis-6485	14	1	song	song	NOUN
fcis-6485	14	2	et	et	PROPN
fcis-6485	14	3	al	al	PROPN
fcis-6485	15	1	[	[	X
fcis-6485	15	2	4	4	X
fcis-6485	15	3	]	]	PUNCT
fcis-6485	15	4	proposed	propose	VERB
fcis-6485	15	5	a	a	DET
fcis-6485	15	6	lowlatency	lowlatency	NOUN
fcis-6485	15	7	,	,	PUNCT
fcis-6485	15	8	low	low	ADJ
fcis-6485	15	9	-	-	PUNCT
fcis-6485	15	10	power	power	NOUN
fcis-6485	15	11	,	,	PUNCT
fcis-6485	15	12	and	and	CCONJ
fcis-6485	15	13	easily	easily	ADV
fcis-6485	15	14	scalable	scalable	ADJ
fcis-6485	15	15	automatic	automatic	ADJ
fcis-6485	15	16	vision	vision	NOUN
fcis-6485	15	17	inspection	inspection	NOUN
fcis-6485	15	18	system	system	NOUN
fcis-6485	15	19	based	base	VERB
fcis-6485	15	20	on	on	ADP
fcis-6485	15	21	edge	edge	NOUN
fcis-6485	15	22	computing	computing	NOUN
fcis-6485	15	23	in	in	ADP
fcis-6485	15	24	order	order	NOUN
fcis-6485	15	25	to	to	PART
fcis-6485	15	26	improve	improve	VERB
fcis-6485	15	27	the	the	DET
fcis-6485	15	28	efficiency	efficiency	NOUN
fcis-6485	15	29	of	of	ADP
fcis-6485	15	30	fabric	fabric	NOUN
fcis-6485	15	31	blemish	blemish	ADJ
fcis-6485	15	32	detection	detection	NOUN
fcis-6485	15	33	,	,	PUNCT
fcis-6485	15	34	which	which	PRON
fcis-6485	15	35	uses	use	VERB
fcis-6485	15	36	the	the	DET
fcis-6485	15	37	efficientdet	efficientdet	NOUN
fcis-6485	15	38	-	-	PUNCT
fcis-6485	15	39	d0	d0	ADJ
fcis-6485	15	40	algorithm	algorithm	NOUN
fcis-6485	15	41	as	as	ADP
fcis-6485	15	42	the	the	DET
fcis-6485	15	43	detection	detection	NOUN
fcis-6485	15	44	model	model	NOUN
fcis-6485	15	45	,	,	PUNCT
fcis-6485	15	46	transposes	transpose	VERB
fcis-6485	15	47	the	the	DET
fcis-6485	15	48	trained	train	VERB
fcis-6485	15	49	model	model	NOUN
fcis-6485	15	50	to	to	ADP
fcis-6485	15	51	the	the	DET
fcis-6485	15	52	nvidia	nvidia	PROPN
fcis-6485	15	53	jetson	jetson	PROPN
fcis-6485	15	54	tx2	tx2	PROPN
fcis-6485	15	55	edge	edge	NOUN
fcis-6485	15	56	device	device	NOUN
fcis-6485	15	57	,	,	PUNCT
fcis-6485	15	58	and	and	CCONJ
fcis-6485	15	59	uses	use	VERB
fcis-6485	15	60	tensorrt	tensorrt	NOUN
fcis-6485	15	61	to	to	PART
fcis-6485	15	62	optimize	optimize	VERB
fcis-6485	15	63	the	the	DET
fcis-6485	15	64	model	model	NOUN
fcis-6485	15	65	.	.	PUNCT
fcis-6485	16	1	qin	qin	PROPN
fcis-6485	16	2	et	et	PROPN
fcis-6485	16	3	al[5	al[5	PROPN
fcis-6485	16	4	]	]	PUNCT
fcis-6485	16	5	proposed	propose	VERB
fcis-6485	16	6	the	the	DET
fcis-6485	16	7	hourglass	hourglass	NOUN
fcis-6485	16	8	-	-	PUNCT
fcis-6485	16	9	mrb	mrb	PROPN
fcis-6485	16	10	network	network	NOUN
fcis-6485	16	11	,	,	PUNCT
fcis-6485	16	12	which	which	PRON
fcis-6485	16	13	adds	add	VERB
fcis-6485	16	14	a	a	DET
fcis-6485	16	15	new	new	ADJ
fcis-6485	16	16	convolutional	convolutional	ADJ
fcis-6485	16	17	branch	branch	NOUN
fcis-6485	16	18	to	to	ADP
fcis-6485	16	19	the	the	DET
fcis-6485	16	20	residual	residual	ADJ
fcis-6485	16	21	module	module	NOUN
fcis-6485	16	22	to	to	PART
fcis-6485	16	23	dynamically	dynamically	ADV
fcis-6485	16	24	adjust	adjust	VERB
fcis-6485	16	25	the	the	DET
fcis-6485	16	26	network	network	NOUN
fcis-6485	16	27	perceptual	perceptual	ADJ
fcis-6485	16	28	field	field	NOUN
fcis-6485	16	29	size	size	NOUN
fcis-6485	16	30	.	.	PUNCT
fcis-6485	17	1	yuan	yuan	NOUN
fcis-6485	17	2	et	et	NOUN
fcis-6485	17	3	al	al	PROPN
fcis-6485	18	1	[	[	X
fcis-6485	18	2	6]improved	6]improve	VERB
fcis-6485	18	3	the	the	DET
fcis-6485	18	4	centernet	centernet	NOUN
fcis-6485	18	5	algorithm	algorithm	NOUN
fcis-6485	18	6	by	by	ADP
fcis-6485	18	7	using	use	VERB
fcis-6485	18	8	resnet-50	resnet-50	PROPN
fcis-6485	18	9	for	for	ADP
fcis-6485	18	10	feature	feature	NOUN
fcis-6485	18	11	extraction	extraction	NOUN
fcis-6485	18	12	,	,	PUNCT
fcis-6485	18	13	soft	soft	ADJ
fcis-6485	18	14	non	non	ADJ
fcis-6485	18	15	-	-	ADJ
fcis-6485	18	16	maximum	maximum	ADJ
fcis-6485	18	17	suppression	suppression	NOUN
fcis-6485	18	18	(	(	PUNCT
fcis-6485	18	19	soft	soft	ADJ
fcis-6485	18	20	nms	nms	NOUN
fcis-6485	18	21	)	)	PUNCT
fcis-6485	18	22	for	for	ADP
fcis-6485	18	23	expectation	expectation	NOUN
fcis-6485	18	24	to	to	PART
fcis-6485	18	25	improve	improve	VERB
fcis-6485	18	26	detection	detection	NOUN
fcis-6485	18	27	accuracy	accuracy	NOUN
fcis-6485	18	28	,	,	PUNCT
fcis-6485	18	29	and	and	CCONJ
fcis-6485	18	30	expansion	expansion	NOUN
fcis-6485	18	31	of	of	ADP
fcis-6485	18	32	the	the	DET
fcis-6485	18	33	fabric	fabric	NOUN
fcis-6485	18	34	image	image	NOUN
fcis-6485	18	35	database	database	NOUN
fcis-6485	18	36	by	by	ADP
fcis-6485	18	37	image	image	NOUN
fcis-6485	18	38	cropping	cropping	NOUN
fcis-6485	18	39	and	and	CCONJ
fcis-6485	18	40	rotation	rotation	NOUN
fcis-6485	18	41	to	to	PART
fcis-6485	18	42	improve	improve	VERB
fcis-6485	18	43	the	the	DET
fcis-6485	18	44	stability	stability	NOUN
fcis-6485	18	45	and	and	CCONJ
fcis-6485	18	46	anti	anti	ADJ
fcis-6485	18	47	-	-	ADJ
fcis-6485	18	48	interference	interference	ADJ
fcis-6485	18	49	capability	capability	NOUN
fcis-6485	18	50	of	of	ADP
fcis-6485	18	51	the	the	DET
fcis-6485	18	52	neural	neural	ADJ
fcis-6485	18	53	network	network	NOUN
fcis-6485	18	54	model	model	NOUN
fcis-6485	18	55	.	.	PUNCT
fcis-6485	19	1	jing	je	VERB
fcis-6485	20	1	[	[	X
fcis-6485	20	2	7	7	X
fcis-6485	20	3	]	]	PUNCT
fcis-6485	20	4	et	et	PROPN
fcis-6485	20	5	al	al	PROPN
fcis-6485	20	6	.	.	PROPN
fcis-6485	20	7	used	use	VERB
fcis-6485	20	8	k	k	NOUN
fcis-6485	20	9	-	-	PUNCT
fcis-6485	20	10	means	means	NOUN
fcis-6485	20	11	algorithm	algorithm	NOUN
fcis-6485	20	12	to	to	PART
fcis-6485	20	13	modify	modify	VERB
fcis-6485	20	14	the	the	DET
fcis-6485	20	15	a	a	DET
fcis-6485	20	16	priori	priori	ADJ
fcis-6485	20	17	framework	framework	NOUN
fcis-6485	20	18	of	of	ADP
fcis-6485	20	19	yolov3	yolov3	PROPN
fcis-6485	20	20	to	to	PART
fcis-6485	20	21	cluster	cluster	VERB
fcis-6485	20	22	the	the	DET
fcis-6485	20	23	defect	defect	NOUN
fcis-6485	20	24	data	datum	NOUN
fcis-6485	20	25	,	,	PUNCT
fcis-6485	20	26	followed	follow	VERB
fcis-6485	20	27	by	by	ADP
fcis-6485	20	28	image	image	NOUN
fcis-6485	20	29	pyramids	pyramid	NOUN
fcis-6485	20	30	to	to	PART
fcis-6485	20	31	obtain	obtain	VERB
fcis-6485	20	32	feature	feature	NOUN
fcis-6485	20	33	mapping	mapping	NOUN
fcis-6485	20	34	at	at	ADP
fcis-6485	20	35	different	different	ADJ
fcis-6485	20	36	scales	scale	NOUN
fcis-6485	20	37	and	and	CCONJ
fcis-6485	20	38	add	add	VERB
fcis-6485	20	39	detection	detection	NOUN
fcis-6485	20	40	layers	layer	NOUN
fcis-6485	20	41	to	to	PART
fcis-6485	20	42	improve	improve	VERB
fcis-6485	20	43	the	the	DET
fcis-6485	20	44	network	network	NOUN
fcis-6485	20	45	structure	structure	NOUN
fcis-6485	20	46	.	.	PUNCT
fcis-6485	21	1	the	the	DET
fcis-6485	21	2	defect	defect	ADJ
fcis-6485	21	3	algorithm	algorithm	NOUN
fcis-6485	21	4	model	model	NOUN
fcis-6485	21	5	based	base	VERB
fcis-6485	21	6	on	on	ADP
fcis-6485	21	7	objective	objective	ADJ
fcis-6485	21	8	detection	detection	NOUN
fcis-6485	21	9	has	have	VERB
fcis-6485	21	10	a	a	DET
fcis-6485	21	11	high	high	ADJ
fcis-6485	21	12	accuracy	accuracy	NOUN
fcis-6485	21	13	in	in	ADP
fcis-6485	21	14	fabric	fabric	NOUN
fcis-6485	21	15	defect	defect	NOUN
fcis-6485	21	16	recognition	recognition	NOUN
fcis-6485	21	17	and	and	CCONJ
fcis-6485	21	18	can	can	AUX
fcis-6485	21	19	recognize	recognize	VERB
fcis-6485	21	20	some	some	DET
fcis-6485	21	21	defects	defect	NOUN
fcis-6485	21	22	with	with	ADP
fcis-6485	21	23	complex	complex	ADJ
fcis-6485	21	24	texture	texture	ADJ
fcis-6485	21	25	fabric	fabric	NOUN
fcis-6485	21	26	,	,	PUNCT
fcis-6485	21	27	which	which	PRON
fcis-6485	21	28	has	have	VERB
fcis-6485	21	29	a	a	DET
fcis-6485	21	30	great	great	ADJ
fcis-6485	21	31	improvement	improvement	NOUN
fcis-6485	21	32	in	in	ADP
fcis-6485	21	33	recognition	recognition	NOUN
fcis-6485	21	34	accuracy	accuracy	NOUN
fcis-6485	21	35	,	,	PUNCT
fcis-6485	21	36	efficiency	efficiency	NOUN
fcis-6485	21	37	and	and	CCONJ
fcis-6485	21	38	range	range	NOUN
fcis-6485	21	39	,	,	PUNCT
fcis-6485	21	40	but	but	CCONJ
fcis-6485	21	41	these	these	DET
fcis-6485	21	42	methods	method	NOUN
fcis-6485	21	43	have	have	VERB
fcis-6485	21	44	a	a	DET
fcis-6485	21	45	high	high	ADJ
fcis-6485	21	46	requirement	requirement	NOUN
fcis-6485	21	47	for	for	ADP
fcis-6485	21	48	training	training	NOUN
fcis-6485	21	49	samples	sample	NOUN
fcis-6485	21	50	and	and	CCONJ
fcis-6485	21	51	need	need	VERB
fcis-6485	21	52	a	a	DET
fcis-6485	21	53	large	large	ADJ
fcis-6485	21	54	number	number	NOUN
fcis-6485	21	55	of	of	ADP
fcis-6485	21	56	defective	defective	ADJ
fcis-6485	21	57	samples	sample	NOUN
fcis-6485	21	58	to	to	PART
fcis-6485	21	59	participate	participate	VERB
fcis-6485	21	60	in	in	ADP
fcis-6485	21	61	training	training	NOUN
fcis-6485	21	62	,	,	PUNCT
fcis-6485	21	63	which	which	PRON
fcis-6485	21	64	are	be	AUX
fcis-6485	21	65	difficult	difficult	ADJ
fcis-6485	21	66	to	to	PART
fcis-6485	21	67	collect	collect	VERB
fcis-6485	21	68	in	in	ADP
fcis-6485	21	69	most	most	ADJ
fcis-6485	21	70	cases	case	NOUN
fcis-6485	21	71	.	.	PUNCT
fcis-6485	22	1	defect	defect	ADJ
fcis-6485	22	2	detection	detection	NOUN
fcis-6485	22	3	method	method	NOUN
fcis-6485	22	4	based	base	VERB
fcis-6485	22	5	on	on	ADP
fcis-6485	22	6	image	image	NOUN
fcis-6485	22	7	segmentation	segmentation	NOUN
fcis-6485	22	8	is	be	AUX
fcis-6485	22	9	to	to	PART
fcis-6485	22	10	segment	segment	VERB
fcis-6485	22	11	the	the	DET
fcis-6485	22	12	defects	defect	NOUN
fcis-6485	22	13	into	into	ADP
fcis-6485	22	14	striking	striking	ADJ
fcis-6485	22	15	forms	form	NOUN
fcis-6485	22	16	to	to	PART
fcis-6485	22	17	express	express	VERB
fcis-6485	22	18	the	the	DET
fcis-6485	22	19	shape	shape	NOUN
fcis-6485	22	20	,	,	PUNCT
fcis-6485	22	21	location	location	NOUN
fcis-6485	22	22	and	and	CCONJ
fcis-6485	22	23	size	size	NOUN
fcis-6485	22	24	of	of	ADP
fcis-6485	22	25	the	the	DET
fcis-6485	22	26	defects	defect	NOUN
fcis-6485	22	27	.	.	PUNCT
fcis-6485	23	1	the	the	DET
fcis-6485	23	2	method	method	NOUN
fcis-6485	23	3	mainly	mainly	ADV
fcis-6485	23	4	uses	use	VERB
fcis-6485	23	5	the	the	DET
fcis-6485	23	6	image	image	NOUN
fcis-6485	23	7	reconstruction	reconstruction	NOUN
fcis-6485	23	8	method	method	NOUN
fcis-6485	23	9	to	to	PART
fcis-6485	23	10	reconstruct	reconstruct	VERB
fcis-6485	23	11	the	the	DET
fcis-6485	23	12	defective	defective	ADJ
fcis-6485	23	13	image	image	NOUN
fcis-6485	23	14	to	to	PART
fcis-6485	23	15	restore	restore	VERB
fcis-6485	23	16	the	the	DET
fcis-6485	23	17	texture	texture	NOUN
fcis-6485	23	18	of	of	ADP
fcis-6485	23	19	the	the	DET
fcis-6485	23	20	defective	defective	ADJ
fcis-6485	23	21	area	area	NOUN
fcis-6485	23	22	to	to	ADP
fcis-6485	23	23	the	the	DET
fcis-6485	23	24	normal	normal	ADJ
fcis-6485	23	25	fabric	fabric	NOUN
fcis-6485	23	26	texture	texture	NOUN
fcis-6485	23	27	,	,	PUNCT
fcis-6485	23	28	and	and	CCONJ
fcis-6485	23	29	then	then	ADV
fcis-6485	23	30	the	the	DET
fcis-6485	23	31	reconstructed	reconstructed	ADJ
fcis-6485	23	32	image	image	NOUN
fcis-6485	23	33	and	and	CCONJ
fcis-6485	23	34	the	the	DET
fcis-6485	23	35	original	original	ADJ
fcis-6485	23	36	fabric	fabric	NOUN
fcis-6485	23	37	image	image	NOUN
fcis-6485	23	38	for	for	ADP
fcis-6485	23	39	image	image	NOUN
fcis-6485	23	40	segmentation	segmentation	NOUN
fcis-6485	23	41	operation	operation	NOUN
fcis-6485	23	42	to	to	PART
fcis-6485	23	43	obtain	obtain	VERB
fcis-6485	23	44	the	the	DET
fcis-6485	23	45	defective	defective	ADJ
fcis-6485	23	46	map	map	NOUN
fcis-6485	23	47	containing	contain	VERB
fcis-6485	23	48	the	the	DET
fcis-6485	23	49	defect	defect	NOUN
fcis-6485	23	50	information	information	NOUN
fcis-6485	23	51	.	.	PUNCT
fcis-6485	24	1	the	the	DET
fcis-6485	24	2	two	two	NUM
fcis-6485	24	3	main	main	ADJ
fcis-6485	24	4	methods	method	NOUN
fcis-6485	24	5	of	of	ADP
fcis-6485	24	6	image	image	NOUN
fcis-6485	24	7	reconstruction	reconstruction	NOUN
fcis-6485	24	8	are	be	AUX
fcis-6485	24	9	using	use	VERB
fcis-6485	24	10	auto	auto	NOUN
fcis-6485	24	11	-	-	PUNCT
fcis-6485	24	12	encoder	encoder	NOUN
fcis-6485	24	13	networks	network	NOUN
fcis-6485	24	14	or	or	CCONJ
fcis-6485	24	15	generative	generative	ADJ
fcis-6485	24	16	adversarial	adversarial	ADJ
fcis-6485	24	17	neural	neural	ADJ
fcis-6485	24	18	networks	network	NOUN
fcis-6485	24	19	(	(	PUNCT
fcis-6485	24	20	gan	gan	PROPN
fcis-6485	24	21	)	)	PUNCT
fcis-6485	24	22	.	.	PUNCT
fcis-6485	25	1	auto	auto	NOUN
fcis-6485	25	2	-	-	PUNCT
fcis-6485	25	3	encoder	encoder	NOUN
fcis-6485	25	4	is	be	AUX
fcis-6485	25	5	mostly	mostly	ADV
fcis-6485	25	6	trained	train	VERB
fcis-6485	25	7	with	with	ADP
fcis-6485	25	8	unsupervised	unsupervised	ADJ
fcis-6485	25	9	training	training	NOUN
fcis-6485	25	10	,	,	PUNCT
fcis-6485	25	11	which	which	PRON
fcis-6485	25	12	means	mean	VERB
fcis-6485	25	13	that	that	SCONJ
fcis-6485	25	14	they	they	PRON
fcis-6485	25	15	are	be	AUX
fcis-6485	25	16	trained	train	VERB
fcis-6485	25	17	using	use	VERB
fcis-6485	25	18	defect	defect	NOUN
fcis-6485	25	19	-	-	PUNCT
fcis-6485	25	20	free	free	ADJ
fcis-6485	25	21	samples	sample	NOUN
fcis-6485	25	22	,	,	PUNCT
fcis-6485	25	23	so	so	SCONJ
fcis-6485	25	24	that	that	SCONJ
fcis-6485	25	25	a	a	DET
fcis-6485	25	26	large	large	ADJ
fcis-6485	25	27	number	number	NOUN
fcis-6485	25	28	of	of	ADP
fcis-6485	25	29	defective	defective	ADJ
fcis-6485	25	30	samples	sample	NOUN
fcis-6485	25	31	do	do	AUX
fcis-6485	25	32	not	not	PART
fcis-6485	25	33	have	have	VERB
fcis-6485	25	34	to	to	PART
fcis-6485	25	35	be	be	AUX
fcis-6485	25	36	collected	collect	VERB
fcis-6485	25	37	to	to	PART
fcis-6485	25	38	train	train	VERB
fcis-6485	25	39	the	the	DET
fcis-6485	25	40	network	network	NOUN
fcis-6485	25	41	.	.	PUNCT
fcis-6485	26	1	li	li	PROPN
fcis-6485	26	2	et	et	PROPN
fcis-6485	26	3	al	al	PROPN
fcis-6485	27	1	[	[	X
fcis-6485	27	2	8]proposed	8]propose	VERB
fcis-6485	27	3	a	a	DET
fcis-6485	27	4	fault	fault	NOUN
fcis-6485	27	5	detection	detection	NOUN
fcis-6485	27	6	method	method	NOUN
fcis-6485	27	7	based	base	VERB
fcis-6485	27	8	on	on	ADP
fcis-6485	27	9	superposition	superposition	NOUN
fcis-6485	27	10	denoising	denoise	VERB
fcis-6485	27	11	automatic	automatic	ADJ
fcis-6485	27	12	coding	code	VERB
fcis-6485	27	13	(	(	PUNCT
fcis-6485	27	14	sdae	sdae	NOUN
fcis-6485	27	15	)	)	PUNCT
fcis-6485	27	16	and	and	CCONJ
fcis-6485	27	17	improved	improve	VERB
fcis-6485	27	18	the	the	DET
fcis-6485	27	19	model	model	NOUN
fcis-6485	27	20	to	to	PART
fcis-6485	27	21	distinguish	distinguish	VERB
fcis-6485	27	22	between	between	ADP
fcis-6485	27	23	defective	defective	ADJ
fcis-6485	27	24	and	and	CCONJ
fcis-6485	27	25	non	non	ADJ
fcis-6485	27	26	-	-	ADJ
fcis-6485	27	27	defective	defective	ADJ
fcis-6485	27	28	images	image	NOUN
fcis-6485	27	29	by	by	ADP
fcis-6485	27	30	adding	add	VERB
fcis-6485	27	31	fisher	fisher	PROPN
fcis-6485	27	32	's	's	PART
fcis-6485	27	33	criterion	criterion	NOUN
fcis-6485	27	34	.	.	PUNCT
fcis-6485	28	1	mei[9	mei[9	NOUN
fcis-6485	28	2	]	]	PUNCT
fcis-6485	28	3	proposed	propose	VERB
fcis-6485	28	4	a	a	DET
fcis-6485	28	5	multi	multi	ADJ
fcis-6485	28	6	-	-	ADJ
fcis-6485	28	7	scale	scale	ADJ
fcis-6485	28	8	convolutional	convolutional	ADJ
fcis-6485	28	9	denoising	denoising	NOUN
fcis-6485	28	10	autoencoder	autoencoder	NOUN
fcis-6485	28	11	network	network	NOUN
fcis-6485	28	12	(	(	PUNCT
fcis-6485	28	13	mscdae	mscdae	PROPN
fcis-6485	28	14	)	)	PUNCT
fcis-6485	28	15	to	to	PART
fcis-6485	28	16	reconstruct	reconstruct	VERB
fcis-6485	28	17	images	image	NOUN
fcis-6485	28	18	,	,	PUNCT
fcis-6485	28	19	which	which	PRON
fcis-6485	28	20	uses	use	VERB
fcis-6485	28	21	a	a	DET
fcis-6485	28	22	multi	multi	ADJ
fcis-6485	28	23	-	-	ADJ
fcis-6485	28	24	scale	scale	ADJ
fcis-6485	28	25	network	network	NOUN
fcis-6485	28	26	to	to	PART
fcis-6485	28	27	train	train	VERB
fcis-6485	28	28	images	image	NOUN
fcis-6485	28	29	with	with	ADP
fcis-6485	28	30	different	different	ADJ
fcis-6485	28	31	resolutions	resolution	NOUN
fcis-6485	28	32	,	,	PUNCT
fcis-6485	28	33	and	and	CCONJ
fcis-6485	28	34	then	then	ADV
fcis-6485	28	35	uses	use	VERB
fcis-6485	28	36	the	the	DET
fcis-6485	28	37	reconstruction	reconstruction	NOUN
fcis-6485	28	38	residuals	residual	NOUN
fcis-6485	28	39	to	to	PART
fcis-6485	28	40	generate	generate	VERB
fcis-6485	28	41	detection	detection	NOUN
fcis-6485	28	42	results	result	NOUN
fcis-6485	28	43	,	,	PUNCT
fcis-6485	28	44	compared	compare	VERB
fcis-6485	28	45	to	to	ADP
fcis-6485	28	46	traditional	traditional	ADJ
fcis-6485	28	47	unsupervised	unsupervised	ADJ
fcis-6485	28	48	algorithms	algorithm	NOUN
fcis-6485	28	49	,	,	PUNCT
fcis-6485	28	50	mscdae	mscdae	PROPN
fcis-6485	28	51	has	have	VERB
fcis-6485	28	52	a	a	DET
fcis-6485	28	53	large	large	ADJ
fcis-6485	28	54	improvement	improvement	NOUN
fcis-6485	28	55	in	in	ADP
fcis-6485	28	56	the	the	DET
fcis-6485	28	57	model	model	NOUN
fcis-6485	28	58	evaluation	evaluation	NOUN
fcis-6485	28	59	metrics	metric	NOUN
fcis-6485	28	60	.	.	PUNCT
fcis-6485	29	1	although	although	SCONJ
fcis-6485	29	2	the	the	DET
fcis-6485	29	3	self	self	NOUN
fcis-6485	29	4	-	-	PUNCT
fcis-6485	29	5	codingbased	codingbase	VERB
fcis-6485	29	6	fault	fault	NOUN
fcis-6485	29	7	detection	detection	NOUN
fcis-6485	29	8	method	method	NOUN
fcis-6485	29	9	requires	require	VERB
fcis-6485	29	10	only	only	ADV
fcis-6485	29	11	normal	normal	ADJ
fcis-6485	29	12	samples	sample	NOUN
fcis-6485	29	13	for	for	ADP
fcis-6485	29	14	network	network	NOUN
fcis-6485	29	15	training	training	NOUN
fcis-6485	29	16	,	,	PUNCT
fcis-6485	29	17	the	the	DET
fcis-6485	29	18	network	network	NOUN
fcis-6485	29	19	can	can	AUX
fcis-6485	29	20	only	only	ADV
fcis-6485	29	21	learn	learn	VERB
fcis-6485	29	22	the	the	DET
fcis-6485	29	23	features	feature	NOUN
fcis-6485	29	24	of	of	ADP
fcis-6485	29	25	normal	normal	ADJ
fcis-6485	29	26	samples	sample	NOUN
fcis-6485	29	27	.	.	PUNCT
fcis-6485	30	1	when	when	SCONJ
fcis-6485	30	2	reconstructing	reconstruct	VERB
fcis-6485	30	3	defects	defect	NOUN
fcis-6485	30	4	,	,	PUNCT
fcis-6485	30	5	the	the	DET
fcis-6485	30	6	reconstructed	reconstructed	ADJ
fcis-6485	30	7	image	image	NOUN
fcis-6485	30	8	may	may	AUX
fcis-6485	30	9	retain	retain	VERB
fcis-6485	30	10	too	too	ADV
fcis-6485	30	11	many	many	ADJ
fcis-6485	30	12	defective	defective	ADJ
fcis-6485	30	13	features	feature	NOUN
fcis-6485	30	14	due	due	ADP
fcis-6485	30	15	to	to	ADP
fcis-6485	30	16	the	the	DET
fcis-6485	30	17	similarity	similarity	NOUN
fcis-6485	30	18	between	between	ADP
fcis-6485	30	19	the	the	DET
fcis-6485	30	20	defects	defect	NOUN
fcis-6485	30	21	and	and	CCONJ
fcis-6485	30	22	the	the	DET
fcis-6485	30	23	original	original	ADJ
fcis-6485	30	24	image	image	NOUN
fcis-6485	30	25	texture	texture	NOUN
fcis-6485	30	26	background	background	NOUN
fcis-6485	30	27	,	,	PUNCT
fcis-6485	30	28	resulting	result	VERB
fcis-6485	30	29	in	in	ADP
fcis-6485	30	30	a	a	DET
fcis-6485	30	31	decrease	decrease	NOUN
fcis-6485	30	32	in	in	ADP
fcis-6485	30	33	detection	detection	NOUN
fcis-6485	30	34	accuracy	accuracy	NOUN
fcis-6485	30	35	;	;	PUNCT
fcis-6485	30	36	secondly	secondly	ADV
fcis-6485	30	37	,	,	PUNCT
fcis-6485	30	38	the	the	DET
fcis-6485	30	39	self	self	NOUN
fcis-6485	30	40	-	-	PUNCT
fcis-6485	30	41	coding	coding	NOUN
fcis-6485	30	42	loses	lose	VERB
fcis-6485	30	43	more	more	ADJ
fcis-6485	30	44	image	image	NOUN
fcis-6485	30	45	information	information	NOUN
fcis-6485	30	46	during	during	ADP
fcis-6485	30	47	the	the	DET
fcis-6485	30	48	training	training	NOUN
fcis-6485	30	49	process	process	NOUN
fcis-6485	30	50	,	,	PUNCT
fcis-6485	30	51	which	which	PRON
fcis-6485	30	52	is	be	AUX
fcis-6485	30	53	difficult	difficult	ADJ
fcis-6485	30	54	to	to	PART
fcis-6485	30	55	2	2	NUM
fcis-6485	30	56	be	be	AUX
fcis-6485	30	57	used	use	VERB
fcis-6485	30	58	for	for	ADP
fcis-6485	30	59	defect	defect	ADJ
fcis-6485	30	60	detection	detection	NOUN
fcis-6485	30	61	of	of	ADP
fcis-6485	30	62	complex	complex	ADJ
fcis-6485	30	63	patterned	pattern	VERB
fcis-6485	30	64	fabrics	fabric	NOUN
fcis-6485	30	65	.	.	PUNCT
fcis-6485	31	1	compared	compare	VERB
fcis-6485	31	2	with	with	ADP
fcis-6485	31	3	the	the	DET
fcis-6485	31	4	auto	auto	NOUN
fcis-6485	31	5	-	-	PUNCT
fcis-6485	31	6	encoder	encoder	NOUN
fcis-6485	31	7	,	,	PUNCT
fcis-6485	31	8	the	the	DET
fcis-6485	31	9	gan	gan	PROPN
fcis-6485	31	10	is	be	AUX
fcis-6485	31	11	capable	capable	ADJ
fcis-6485	31	12	of	of	ADP
fcis-6485	31	13	extracting	extract	VERB
fcis-6485	31	14	image	image	NOUN
fcis-6485	31	15	features	feature	NOUN
fcis-6485	31	16	,	,	PUNCT
fcis-6485	31	17	its	its	PRON
fcis-6485	31	18	competitive	competitive	ADJ
fcis-6485	31	19	adversarial	adversarial	ADJ
fcis-6485	31	20	training	training	NOUN
fcis-6485	31	21	method	method	NOUN
fcis-6485	31	22	can	can	AUX
fcis-6485	31	23	be	be	AUX
fcis-6485	31	24	adapted	adapt	VERB
fcis-6485	31	25	to	to	PART
fcis-6485	31	26	process	process	VERB
fcis-6485	31	27	images	image	NOUN
fcis-6485	31	28	with	with	ADP
fcis-6485	31	29	complex	complex	ADJ
fcis-6485	31	30	patterns	pattern	NOUN
fcis-6485	31	31	,	,	PUNCT
fcis-6485	31	32	and	and	CCONJ
fcis-6485	31	33	it	it	PRON
fcis-6485	31	34	can	can	AUX
fcis-6485	31	35	effectively	effectively	ADV
fcis-6485	31	36	reduce	reduce	VERB
fcis-6485	31	37	the	the	DET
fcis-6485	31	38	number	number	NOUN
fcis-6485	31	39	of	of	ADP
fcis-6485	31	40	training	training	NOUN
fcis-6485	31	41	samples	sample	NOUN
fcis-6485	31	42	required[10	required[10	NUM
fcis-6485	31	43	]	]	PUNCT
fcis-6485	31	44	,	,	PUNCT
fcis-6485	31	45	making	make	VERB
fcis-6485	31	46	it	it	PRON
fcis-6485	31	47	more	more	ADV
fcis-6485	31	48	suitable	suitable	ADJ
fcis-6485	31	49	for	for	ADP
fcis-6485	31	50	processing	processing	NOUN
fcis-6485	31	51	fabric	fabric	NOUN
fcis-6485	31	52	images	image	NOUN
fcis-6485	31	53	with	with	ADP
fcis-6485	31	54	complex	complex	ADJ
fcis-6485	31	55	textures	texture	NOUN
fcis-6485	31	56	than	than	ADP
fcis-6485	31	57	objective	objective	ADJ
fcis-6485	31	58	detection	detection	NOUN
fcis-6485	31	59	algorithms	algorithm	NOUN
fcis-6485	31	60	that	that	PRON
fcis-6485	31	61	require	require	VERB
fcis-6485	31	62	a	a	DET
fcis-6485	31	63	large	large	ADJ
fcis-6485	31	64	number	number	NOUN
fcis-6485	31	65	of	of	ADP
fcis-6485	31	66	samples	sample	NOUN
fcis-6485	31	67	.	.	PUNCT
fcis-6485	32	1	hu	hu	PROPN
fcis-6485	32	2	et	et	PROPN
fcis-6485	32	3	al[11	al[11	PROPN
fcis-6485	32	4	]	]	PUNCT
fcis-6485	32	5	proposed	propose	VERB
fcis-6485	32	6	a	a	DET
fcis-6485	32	7	kind	kind	NOUN
fcis-6485	32	8	of	of	ADP
fcis-6485	32	9	unsupervised	unsupervised	ADJ
fcis-6485	32	10	textile	textile	NOUN
fcis-6485	32	11	defect	defect	NOUN
fcis-6485	32	12	detection	detection	NOUN
fcis-6485	32	13	algorithm	algorithm	NOUN
fcis-6485	32	14	based	base	VERB
fcis-6485	32	15	on	on	ADP
fcis-6485	32	16	convolutional	convolutional	ADJ
fcis-6485	32	17	generative	generative	ADJ
fcis-6485	32	18	adversarial	adversarial	ADJ
fcis-6485	32	19	network	network	NOUN
fcis-6485	32	20	(	(	PUNCT
fcis-6485	32	21	dcgan	dcgan	NOUN
fcis-6485	32	22	)	)	PUNCT
fcis-6485	32	23	,	,	PUNCT
fcis-6485	32	24	which	which	PRON
fcis-6485	32	25	uses	use	VERB
fcis-6485	32	26	dcgan	dcgan	NOUN
fcis-6485	32	27	to	to	PART
fcis-6485	32	28	reconstruct	reconstruct	VERB
fcis-6485	32	29	defect	defect	NOUN
fcis-6485	32	30	-	-	PUNCT
fcis-6485	32	31	free	free	ADJ
fcis-6485	32	32	images	image	NOUN
fcis-6485	32	33	based	base	VERB
fcis-6485	32	34	on	on	ADP
fcis-6485	32	35	defective	defective	ADJ
fcis-6485	32	36	sample	sample	NOUN
fcis-6485	32	37	images	image	NOUN
fcis-6485	32	38	.	.	PUNCT
fcis-6485	33	1	in	in	ADP
fcis-6485	33	2	the	the	DET
fcis-6485	33	3	paper	paper	NOUN
fcis-6485	33	4	,	,	PUNCT
fcis-6485	33	5	an	an	DET
fcis-6485	33	6	investor	investor	NOUN
fcis-6485	33	7	(	(	PUNCT
fcis-6485	33	8	e	e	NOUN
fcis-6485	33	9	)	)	PUNCT
fcis-6485	33	10	similar	similar	ADJ
fcis-6485	33	11	to	to	ADP
fcis-6485	33	12	an	an	DET
fcis-6485	33	13	encoder	encoder	NOUN
fcis-6485	33	14	is	be	AUX
fcis-6485	33	15	proposed	propose	VERB
fcis-6485	33	16	,	,	PUNCT
fcis-6485	33	17	firstly	firstly	ADV
fcis-6485	33	18	,	,	PUNCT
fcis-6485	33	19	dcgan	dcgan	NOUN
fcis-6485	33	20	is	be	AUX
fcis-6485	33	21	trained	train	VERB
fcis-6485	33	22	,	,	PUNCT
fcis-6485	33	23	and	and	CCONJ
fcis-6485	33	24	then	then	ADV
fcis-6485	33	25	the	the	DET
fcis-6485	33	26	one	one	NUM
fcis-6485	33	27	-	-	PUNCT
fcis-6485	33	28	dimensional	dimensional	ADJ
fcis-6485	33	29	feature	feature	NOUN
fcis-6485	33	30	vector	vector	NOUN
fcis-6485	33	31	output	output	NOUN
fcis-6485	33	32	from	from	ADP
fcis-6485	33	33	e	e	NOUN
fcis-6485	33	34	is	be	AUX
fcis-6485	33	35	sent	send	VERB
fcis-6485	33	36	to	to	ADP
fcis-6485	33	37	the	the	DET
fcis-6485	33	38	trained	train	VERB
fcis-6485	33	39	generator	generator	NOUN
fcis-6485	33	40	g	g	PROPN
fcis-6485	33	41	to	to	PART
fcis-6485	33	42	get	get	VERB
fcis-6485	33	43	the	the	DET
fcis-6485	33	44	reconstructed	reconstructed	ADJ
fcis-6485	33	45	the	the	DET
fcis-6485	33	46	whole	whole	ADJ
fcis-6485	33	47	training	training	NOUN
fcis-6485	33	48	process	process	NOUN
fcis-6485	33	49	requires	require	VERB
fcis-6485	33	50	only	only	ADV
fcis-6485	33	51	defect	defect	NOUN
fcis-6485	33	52	-	-	PUNCT
fcis-6485	33	53	free	free	ADJ
fcis-6485	33	54	normal	normal	ADJ
fcis-6485	33	55	samples	sample	NOUN
fcis-6485	33	56	,	,	PUNCT
fcis-6485	33	57	divides	divide	VERB
fcis-6485	33	58	the	the	DET
fcis-6485	33	59	image	image	NOUN
fcis-6485	33	60	into	into	ADP
fcis-6485	33	61	blocks	block	NOUN
fcis-6485	33	62	,	,	PUNCT
fcis-6485	33	63	decomposes	decompose	VERB
fcis-6485	33	64	the	the	DET
fcis-6485	33	65	image	image	NOUN
fcis-6485	33	66	-	-	PUNCT
fcis-6485	33	67	level	level	NOUN
fcis-6485	33	68	reconstruction	reconstruction	NOUN
fcis-6485	33	69	into	into	ADP
fcis-6485	33	70	block	block	NOUN
fcis-6485	33	71	-	-	PUNCT
fcis-6485	33	72	level	level	NOUN
fcis-6485	33	73	reconstruction	reconstruction	NOUN
fcis-6485	33	74	,	,	PUNCT
fcis-6485	33	75	and	and	CCONJ
fcis-6485	33	76	optimizes	optimize	VERB
fcis-6485	33	77	the	the	DET
fcis-6485	33	78	reconstructed	reconstructed	ADJ
fcis-6485	33	79	image	image	NOUN
fcis-6485	33	80	using	use	VERB
fcis-6485	33	81	normalization	normalization	NOUN
fcis-6485	33	82	and	and	CCONJ
fcis-6485	33	83	error	error	NOUN
fcis-6485	33	84	maps	map	NOUN
fcis-6485	33	85	.	.	PUNCT
fcis-6485	34	1	liu	liu	PROPN
fcis-6485	34	2	et	et	PROPN
fcis-6485	34	3	al	al	PROPN
fcis-6485	35	1	[	[	X
fcis-6485	35	2	12	12	NUM
fcis-6485	35	3	]	]	PUNCT
fcis-6485	35	4	proposed	propose	VERB
fcis-6485	35	5	a	a	DET
fcis-6485	35	6	ganbased	ganbase	VERB
fcis-6485	35	7	framework	framework	NOUN
fcis-6485	35	8	for	for	ADP
fcis-6485	35	9	fabric	fabric	NOUN
fcis-6485	35	10	defect	defect	NOUN
fcis-6485	35	11	detection	detection	NOUN
fcis-6485	35	12	,	,	PUNCT
fcis-6485	35	13	which	which	PRON
fcis-6485	35	14	first	first	ADV
fcis-6485	35	15	trains	train	VERB
fcis-6485	35	16	a	a	DET
fcis-6485	35	17	gan	gan	NOUN
fcis-6485	35	18	to	to	PART
fcis-6485	35	19	explore	explore	VERB
fcis-6485	35	20	the	the	DET
fcis-6485	35	21	conditional	conditional	ADJ
fcis-6485	35	22	distribution	distribution	NOUN
fcis-6485	35	23	of	of	ADP
fcis-6485	35	24	defects	defect	NOUN
fcis-6485	35	25	in	in	ADP
fcis-6485	35	26	different	different	ADJ
fcis-6485	35	27	texture	texture	ADJ
fcis-6485	35	28	backgrounds	background	NOUN
fcis-6485	35	29	,	,	PUNCT
fcis-6485	35	30	then	then	ADV
fcis-6485	35	31	,	,	PUNCT
fcis-6485	35	32	the	the	DET
fcis-6485	35	33	generated	generate	VERB
fcis-6485	35	34	defects	defect	NOUN
fcis-6485	35	35	are	be	AUX
fcis-6485	35	36	fused	fuse	VERB
fcis-6485	35	37	to	to	ADP
fcis-6485	35	38	new	new	ADJ
fcis-6485	35	39	fabric	fabric	NOUN
fcis-6485	35	40	-	-	PUNCT
fcis-6485	35	41	specific	specific	ADJ
fcis-6485	35	42	locations	location	NOUN
fcis-6485	35	43	,	,	PUNCT
fcis-6485	35	44	and	and	CCONJ
fcis-6485	35	45	finally	finally	ADV
fcis-6485	35	46	,	,	PUNCT
fcis-6485	35	47	a	a	DET
fcis-6485	35	48	deep	deep	ADJ
fcis-6485	35	49	semantic	semantic	ADJ
fcis-6485	35	50	segmentation	segmentation	NOUN
fcis-6485	35	51	network	network	NOUN
fcis-6485	35	52	is	be	AUX
fcis-6485	35	53	trained	train	VERB
fcis-6485	35	54	to	to	PART
fcis-6485	35	55	achieve	achieve	VERB
fcis-6485	35	56	fabric	fabric	NOUN
fcis-6485	35	57	defect	defect	NOUN
fcis-6485	35	58	detection	detection	NOUN
fcis-6485	35	59	by	by	ADP
fcis-6485	35	60	the	the	DET
fcis-6485	35	61	generated	generate	VERB
fcis-6485	35	62	defect	defect	NOUN
fcis-6485	35	63	images	image	NOUN
fcis-6485	35	64	.	.	PUNCT
fcis-6485	36	1	in	in	ADP
fcis-6485	36	2	this	this	DET
fcis-6485	36	3	paper	paper	NOUN
fcis-6485	36	4	,	,	PUNCT
fcis-6485	36	5	we	we	PRON
fcis-6485	36	6	propose	propose	VERB
fcis-6485	36	7	a	a	DET
fcis-6485	36	8	method	method	NOUN
fcis-6485	36	9	for	for	ADP
fcis-6485	36	10	detecting	detect	VERB
fcis-6485	36	11	fabric	fabric	NOUN
fcis-6485	36	12	defects	defect	NOUN
fcis-6485	36	13	based	base	VERB
fcis-6485	36	14	on	on	ADP
fcis-6485	36	15	image	image	NOUN
fcis-6485	36	16	reconstruction	reconstruction	NOUN
fcis-6485	36	17	with	with	ADP
fcis-6485	36	18	self	self	NOUN
fcis-6485	36	19	-	-	PUNCT
fcis-6485	36	20	attentiveness	attentiveness	NOUN
fcis-6485	36	21	mechanism	mechanism	NOUN
fcis-6485	36	22	,	,	PUNCT
fcis-6485	36	23	which	which	PRON
fcis-6485	36	24	focuses	focus	VERB
fcis-6485	36	25	on	on	ADP
fcis-6485	36	26	reconstructing	reconstruct	VERB
fcis-6485	36	27	the	the	DET
fcis-6485	36	28	fabric	fabric	NOUN
fcis-6485	36	29	defect	defect	NOUN
fcis-6485	36	30	region	region	NOUN
fcis-6485	36	31	into	into	ADP
fcis-6485	36	32	a	a	DET
fcis-6485	36	33	texture	texture	NOUN
fcis-6485	36	34	similar	similar	ADJ
fcis-6485	36	35	to	to	ADP
fcis-6485	36	36	the	the	DET
fcis-6485	36	37	original	original	ADJ
fcis-6485	36	38	background	background	NOUN
fcis-6485	36	39	of	of	ADP
fcis-6485	36	40	the	the	DET
fcis-6485	36	41	fabric	fabric	NOUN
fcis-6485	36	42	,	,	PUNCT
fcis-6485	36	43	reconstructing	reconstruct	VERB
fcis-6485	36	44	the	the	DET
fcis-6485	36	45	fabric	fabric	NOUN
fcis-6485	36	46	image	image	NOUN
fcis-6485	36	47	to	to	PART
fcis-6485	36	48	obtain	obtain	VERB
fcis-6485	36	49	a	a	DET
fcis-6485	36	50	fabric	fabric	NOUN
fcis-6485	36	51	image	image	NOUN
fcis-6485	36	52	without	without	ADP
fcis-6485	36	53	defects	defect	NOUN
fcis-6485	36	54	,	,	PUNCT
fcis-6485	36	55	and	and	CCONJ
fcis-6485	36	56	then	then	ADV
fcis-6485	36	57	performing	perform	VERB
fcis-6485	36	58	simple	simple	ADJ
fcis-6485	36	59	image	image	NOUN
fcis-6485	36	60	segmentation	segmentation	NOUN
fcis-6485	36	61	on	on	ADP
fcis-6485	36	62	the	the	DET
fcis-6485	36	63	reconstructed	reconstructed	ADJ
fcis-6485	36	64	image	image	NOUN
fcis-6485	36	65	and	and	CCONJ
fcis-6485	36	66	the	the	DET
fcis-6485	36	67	original	original	ADJ
fcis-6485	36	68	image	image	NOUN
fcis-6485	36	69	to	to	PART
fcis-6485	36	70	obtain	obtain	VERB
fcis-6485	36	71	a	a	DET
fcis-6485	36	72	detection	detection	NOUN
fcis-6485	36	73	result	result	NOUN
fcis-6485	36	74	containing	contain	VERB
fcis-6485	36	75	the	the	DET
fcis-6485	36	76	location	location	NOUN
fcis-6485	36	77	and	and	CCONJ
fcis-6485	36	78	size	size	NOUN
fcis-6485	36	79	information	information	NOUN
fcis-6485	36	80	of	of	ADP
fcis-6485	36	81	the	the	DET
fcis-6485	36	82	defects	defect	NOUN
fcis-6485	36	83	.	.	PUNCT
fcis-6485	37	1	2	2	X
fcis-6485	37	2	.	.	X
fcis-6485	37	3	defect	defect	NOUN
fcis-6485	37	4	detection	detection	NOUN
fcis-6485	37	5	method	method	NOUN
fcis-6485	37	6	2.1	2.1	NUM
fcis-6485	37	7	.	.	PUNCT
fcis-6485	38	1	network	network	NOUN
fcis-6485	38	2	structure	structure	NOUN
fcis-6485	38	3	the	the	DET
fcis-6485	38	4	network	network	NOUN
fcis-6485	38	5	structure	structure	NOUN
fcis-6485	38	6	of	of	ADP
fcis-6485	38	7	the	the	DET
fcis-6485	38	8	generator	generator	NOUN
fcis-6485	38	9	is	be	AUX
fcis-6485	38	10	shown	show	VERB
fcis-6485	38	11	in	in	ADP
fcis-6485	38	12	figure	figure	NOUN
fcis-6485	38	13	1	1	NUM
fcis-6485	38	14	.	.	PUNCT
fcis-6485	39	1	the	the	DET
fcis-6485	39	2	generator	generator	NOUN
fcis-6485	39	3	adopts	adopt	VERB
fcis-6485	39	4	the	the	DET
fcis-6485	39	5	"	"	PUNCT
fcis-6485	39	6	encoder	encoder	NOUN
fcis-6485	39	7	-	-	PUNCT
fcis-6485	39	8	middle	middle	ADJ
fcis-6485	39	9	layer	layer	NOUN
fcis-6485	39	10	-	-	PUNCT
fcis-6485	39	11	decoder	decoder	NOUN
fcis-6485	39	12	"	"	PUNCT
fcis-6485	39	13	structure	structure	NOUN
fcis-6485	39	14	,	,	PUNCT
fcis-6485	39	15	and	and	CCONJ
fcis-6485	39	16	the	the	DET
fcis-6485	39	17	input	input	NOUN
fcis-6485	39	18	and	and	CCONJ
fcis-6485	39	19	output	output	NOUN
fcis-6485	39	20	network	network	NOUN
fcis-6485	39	21	structures	structure	NOUN
fcis-6485	39	22	are	be	AUX
fcis-6485	39	23	roughly	roughly	ADV
fcis-6485	39	24	aligned	align	VERB
fcis-6485	39	25	considering	consider	VERB
fcis-6485	39	26	that	that	SCONJ
fcis-6485	39	27	the	the	DET
fcis-6485	39	28	inputs	input	NOUN
fcis-6485	39	29	and	and	CCONJ
fcis-6485	39	30	outputs	output	NOUN
fcis-6485	39	31	of	of	ADP
fcis-6485	39	32	the	the	DET
fcis-6485	39	33	model	model	NOUN
fcis-6485	39	34	are	be	AUX
fcis-6485	39	35	roughly	roughly	ADV
fcis-6485	39	36	the	the	DET
fcis-6485	39	37	same	same	ADJ
fcis-6485	39	38	.	.	PUNCT
fcis-6485	40	1	the	the	DET
fcis-6485	40	2	network	network	NOUN
fcis-6485	40	3	adopts	adopt	VERB
fcis-6485	40	4	the	the	DET
fcis-6485	40	5	"	"	PUNCT
fcis-6485	40	6	convolutional	convolutional	ADJ
fcis-6485	40	7	layer	layer	NOUN
fcis-6485	40	8	-	-	PUNCT
fcis-6485	40	9	batch	batch	NOUN
fcis-6485	40	10	norm	norm	NOUN
fcis-6485	40	11	-	-	PUNCT
fcis-6485	40	12	activation	activation	NOUN
fcis-6485	40	13	function	function	NOUN
fcis-6485	40	14	"	"	PUNCT
fcis-6485	40	15	block	block	NOUN
fcis-6485	40	16	.	.	PUNCT
fcis-6485	41	1	the	the	DET
fcis-6485	41	2	encoder	encoder	NOUN
fcis-6485	41	3	block	block	NOUN
fcis-6485	41	4	first	first	ADV
fcis-6485	41	5	uses	use	VERB
fcis-6485	41	6	the	the	DET
fcis-6485	41	7	convolutional	convolutional	ADJ
fcis-6485	41	8	layer	layer	NOUN
fcis-6485	41	9	for	for	ADP
fcis-6485	41	10	down	down	ADV
fcis-6485	41	11	-	-	PUNCT
fcis-6485	41	12	sampling	sampling	NOUN
fcis-6485	41	13	,	,	PUNCT
fcis-6485	41	14	and	and	CCONJ
fcis-6485	41	15	the	the	DET
fcis-6485	41	16	activation	activation	NOUN
fcis-6485	41	17	function	function	NOUN
fcis-6485	41	18	uses	use	VERB
fcis-6485	41	19	the	the	DET
fcis-6485	41	20	leaky	leaky	ADJ
fcis-6485	41	21	relu	relu	NOUN
fcis-6485	41	22	function	function	NOUN
fcis-6485	41	23	,	,	PUNCT
fcis-6485	41	24	which	which	PRON
fcis-6485	41	25	passes	pass	VERB
fcis-6485	41	26	a	a	DET
fcis-6485	41	27	self	self	NOUN
fcis-6485	41	28	-	-	PUNCT
fcis-6485	41	29	attentive	attentive	ADJ
fcis-6485	41	30	mechanism	mechanism	NOUN
fcis-6485	41	31	when	when	SCONJ
fcis-6485	41	32	the	the	DET
fcis-6485	41	33	image	image	NOUN
fcis-6485	41	34	size	size	NOUN
fcis-6485	41	35	reaches	reach	VERB
fcis-6485	41	36	32×32	32×32	NUM
fcis-6485	41	37	,	,	PUNCT
fcis-6485	41	38	then	then	ADV
fcis-6485	41	39	passes	pass	VERB
fcis-6485	41	40	a	a	DET
fcis-6485	41	41	downsampling	downsampling	NOUN
fcis-6485	41	42	to	to	ADP
fcis-6485	41	43	size	size	NOUN
fcis-6485	41	44	4×4	4×4	NUM
fcis-6485	41	45	,	,	PUNCT
fcis-6485	41	46	and	and	CCONJ
fcis-6485	41	47	finally	finally	ADV
fcis-6485	41	48	passes	pass	VERB
fcis-6485	41	49	a	a	DET
fcis-6485	41	50	self	self	NOUN
fcis-6485	41	51	-	-	PUNCT
fcis-6485	41	52	attentive	attentive	ADJ
fcis-6485	41	53	mechanism	mechanism	NOUN
fcis-6485	41	54	.	.	PUNCT
fcis-6485	42	1	the	the	DET
fcis-6485	42	2	decoder	decoder	NOUN
fcis-6485	42	3	module	module	NOUN
fcis-6485	42	4	activation	activation	NOUN
fcis-6485	42	5	function	function	NOUN
fcis-6485	42	6	uses	use	VERB
fcis-6485	42	7	the	the	DET
fcis-6485	42	8	relu	relu	NOUN
fcis-6485	42	9	function	function	NOUN
fcis-6485	42	10	,	,	PUNCT
fcis-6485	42	11	which	which	PRON
fcis-6485	42	12	first	first	ADV
fcis-6485	42	13	uses	use	VERB
fcis-6485	42	14	a	a	DET
fcis-6485	42	15	transposed	transpose	VERB
fcis-6485	42	16	convolutional	convolutional	ADJ
fcis-6485	42	17	layer	layer	NOUN
fcis-6485	42	18	for	for	ADP
fcis-6485	42	19	downward	downward	ADJ
fcis-6485	42	20	up	up	ADV
fcis-6485	42	21	-	-	PUNCT
fcis-6485	42	22	sampling	sample	VERB
fcis-6485	42	23	,	,	PUNCT
fcis-6485	42	24	and	and	CCONJ
fcis-6485	42	25	then	then	ADV
fcis-6485	42	26	passes	pass	VERB
fcis-6485	42	27	a	a	DET
fcis-6485	42	28	selfattention	selfattention	NOUN
fcis-6485	42	29	mechanism	mechanism	NOUN
fcis-6485	42	30	when	when	SCONJ
fcis-6485	42	31	the	the	DET
fcis-6485	42	32	image	image	NOUN
fcis-6485	42	33	size	size	NOUN
fcis-6485	42	34	reaches	reach	VERB
fcis-6485	42	35	32×32	32×32	NUM
fcis-6485	42	36	,	,	PUNCT
fcis-6485	42	37	and	and	CCONJ
fcis-6485	42	38	finally	finally	ADV
fcis-6485	42	39	reverts	revert	VERB
fcis-6485	42	40	to	to	ADP
fcis-6485	42	41	the	the	DET
fcis-6485	42	42	original	original	ADJ
fcis-6485	42	43	size	size	NOUN
fcis-6485	42	44	by	by	ADP
fcis-6485	42	45	up	up	ADV
fcis-6485	42	46	-	-	PUNCT
fcis-6485	42	47	sampling	sampling	NOUN
fcis-6485	42	48	.	.	PUNCT
fcis-6485	43	1	we	we	PRON
fcis-6485	43	2	added	add	VERB
fcis-6485	43	3	jump	jump	NOUN
fcis-6485	43	4	connections	connection	NOUN
fcis-6485	43	5	to	to	ADP
fcis-6485	43	6	the	the	DET
fcis-6485	43	7	generator	generator	NOUN
fcis-6485	43	8	,	,	PUNCT
fcis-6485	43	9	following	follow	VERB
fcis-6485	43	10	the	the	DET
fcis-6485	43	11	general	general	ADJ
fcis-6485	43	12	connection	connection	NOUN
fcis-6485	43	13	of	of	ADP
fcis-6485	43	14	"	"	PUNCT
fcis-6485	43	15	u	u	NOUN
fcis-6485	43	16	-	-	NOUN
fcis-6485	43	17	net"[13]adding	net"[13]adde	VERB
fcis-6485	43	18	jump	jump	NOUN
fcis-6485	43	19	layers	layer	NOUN
fcis-6485	43	20	between	between	ADP
fcis-6485	43	21	layer	layer	NOUN
fcis-6485	43	22	i	i	PRON
fcis-6485	43	23	and	and	CCONJ
fcis-6485	43	24	n	n	CCONJ
fcis-6485	43	25	-	-	PUNCT
fcis-6485	43	26	i	i	NOUN
fcis-6485	43	27	,	,	PUNCT
fcis-6485	43	28	where	where	SCONJ
fcis-6485	43	29	n	n	X
fcis-6485	43	30	is	be	AUX
fcis-6485	43	31	the	the	DET
fcis-6485	43	32	total	total	ADJ
fcis-6485	43	33	number	number	NOUN
fcis-6485	43	34	of	of	ADP
fcis-6485	43	35	layers	layer	NOUN
fcis-6485	43	36	in	in	ADP
fcis-6485	43	37	the	the	DET
fcis-6485	43	38	generator	generator	NOUN
fcis-6485	43	39	.	.	PUNCT
fcis-6485	44	1	each	each	DET
fcis-6485	44	2	jump	jump	NOUN
fcis-6485	44	3	connection	connection	NOUN
fcis-6485	44	4	simply	simply	ADV
fcis-6485	44	5	connects	connect	VERB
fcis-6485	44	6	the	the	DET
fcis-6485	44	7	channel	channel	NOUN
fcis-6485	44	8	of	of	ADP
fcis-6485	44	9	layer	layer	NOUN
fcis-6485	44	10	i	i	PRON
fcis-6485	44	11	to	to	ADP
fcis-6485	44	12	layer	layer	NOUN
fcis-6485	44	13	n	n	CCONJ
fcis-6485	44	14	-	-	PUNCT
fcis-6485	44	15	i.	i.	NOUN
fcis-6485	44	16	for	for	ADP
fcis-6485	44	17	some	some	DET
fcis-6485	44	18	non	non	ADJ
fcis-6485	44	19	-	-	ADJ
fcis-6485	44	20	periodic	periodic	ADJ
fcis-6485	44	21	images	image	NOUN
fcis-6485	44	22	of	of	ADP
fcis-6485	44	23	textured	textured	ADJ
fcis-6485	44	24	fabrics	fabric	NOUN
fcis-6485	44	25	with	with	ADP
fcis-6485	44	26	complex	complex	ADJ
fcis-6485	44	27	textures	texture	NOUN
fcis-6485	44	28	but	but	CCONJ
fcis-6485	44	29	little	little	ADJ
fcis-6485	44	30	difference	difference	NOUN
fcis-6485	44	31	between	between	ADP
fcis-6485	44	32	the	the	DET
fcis-6485	44	33	input	input	NOUN
fcis-6485	44	34	and	and	CCONJ
fcis-6485	44	35	output	output	NOUN
fcis-6485	44	36	,	,	PUNCT
fcis-6485	44	37	a	a	DET
fcis-6485	44	38	large	large	ADJ
fcis-6485	44	39	amount	amount	NOUN
fcis-6485	44	40	of	of	ADP
fcis-6485	44	41	underlying	underlie	VERB
fcis-6485	44	42	information	information	NOUN
fcis-6485	44	43	needs	need	VERB
fcis-6485	44	44	to	to	PART
fcis-6485	44	45	be	be	AUX
fcis-6485	44	46	shared	share	VERB
fcis-6485	44	47	between	between	ADP
fcis-6485	44	48	the	the	DET
fcis-6485	44	49	input	input	NOUN
fcis-6485	44	50	and	and	CCONJ
fcis-6485	44	51	output	output	NOUN
fcis-6485	44	52	,	,	PUNCT
fcis-6485	44	53	and	and	CCONJ
fcis-6485	44	54	by	by	ADP
fcis-6485	44	55	connecting	connect	VERB
fcis-6485	44	56	in	in	ADP
fcis-6485	44	57	this	this	DET
fcis-6485	44	58	way	way	NOUN
fcis-6485	44	59	it	it	PRON
fcis-6485	44	60	is	be	AUX
fcis-6485	44	61	possible	possible	ADJ
fcis-6485	44	62	to	to	PART
fcis-6485	44	63	make	make	VERB
fcis-6485	44	64	the	the	DET
fcis-6485	44	65	network	network	NOUN
fcis-6485	44	66	up	up	ADP
fcis-6485	44	67	-	-	PUNCT
fcis-6485	44	68	sampling	sample	VERB
fcis-6485	44	69	layer	layer	NOUN
fcis-6485	44	70	transfer	transfer	NOUN
fcis-6485	44	71	texture	texture	NOUN
fcis-6485	44	72	information	information	NOUN
fcis-6485	44	73	directly	directly	ADV
fcis-6485	44	74	to	to	ADP
fcis-6485	44	75	the	the	DET
fcis-6485	44	76	downsampling	downsample	VERB
fcis-6485	44	77	layer	layer	NOUN
fcis-6485	44	78	.	.	PUNCT
fcis-6485	45	1	cnn	cnn	PROPN
fcis-6485	45	2	leakyrelu	leakyrelu	PROPN
fcis-6485	45	3	cnn	cnn	PROPN
fcis-6485	45	4	batch	batch	VERB
fcis-6485	45	5	cnn	cnn	PROPN
fcis-6485	45	6	skip	skip	VERB
fcis-6485	45	7	128×128×64	128×128×64	NUM
fcis-6485	45	8	256×256×3	256×256×3	NUM
fcis-6485	45	9	input	input	NOUN
fcis-6485	45	10	output	output	NOUN
fcis-6485	45	11	64×64×128	64×64×128	NUM
fcis-6485	46	1	32×32×256	32×32×256	NUM
fcis-6485	46	2	16×16×512	16×16×512	NUM
fcis-6485	46	3	8×8×512	8×8×512	NUM
fcis-6485	46	4	4×4×512	4×4×512	PROPN
fcis-6485	46	5	128×128×64	128×128×64	PROPN
fcis-6485	46	6	4×4×512	4×4×512	PROPN
fcis-6485	46	7	8×8×512	8×8×512	PROPN
fcis-6485	46	8	16×16×512	16×16×512	PROPN
fcis-6485	46	9	32×32×256	32×32×256	NUM
fcis-6485	46	10	64×64×128	64×64×128	NUM
fcis-6485	46	11	256×256×3	256×256×3	NUM
fcis-6485	46	12	leakyrelu	leakyrelu	NOUN
fcis-6485	46	13	cnn	cnn	PROPN
fcis-6485	46	14	batch	batch	VERB
fcis-6485	46	15	leakyrelu	leakyrelu	PROPN
fcis-6485	46	16	cnn	cnn	PROPN
fcis-6485	46	17	batch	batch	VERB
fcis-6485	46	18	leakyrelu	leakyrelu	PROPN
fcis-6485	46	19	cnn	cnn	PROPN
fcis-6485	46	20	batch	batch	VERB
fcis-6485	46	21	leakyrelu	leakyrelu	PROPN
fcis-6485	46	22	cnn	cnn	PROPN
fcis-6485	46	23	batch	batch	VERB
fcis-6485	46	24	leakyrelu	leakyrelu	PROPN
fcis-6485	46	25	cnn	cnn	PROPN
fcis-6485	46	26	batch	batch	NOUN
fcis-6485	46	27	relu	relu	NOUN
fcis-6485	46	28	cnn	cnn	PROPN
fcis-6485	46	29	batch	batch	NOUN
fcis-6485	46	30	relu	relu	NOUN
fcis-6485	46	31	cnn	cnn	PROPN
fcis-6485	46	32	batch	batch	NOUN
fcis-6485	46	33	relu	relu	NOUN
fcis-6485	46	34	cnn	cnn	PROPN
fcis-6485	46	35	batch	batch	NOUN
fcis-6485	46	36	relu	relu	NOUN
fcis-6485	46	37	cnn	cnn	PROPN
fcis-6485	46	38	batch	batch	VERB
fcis-6485	46	39	relu	relu	NOUN
fcis-6485	46	40	self	self	NOUN
fcis-6485	46	41	-	-	PUNCT
fcis-6485	46	42	attention	attention	NOUN
fcis-6485	46	43	self	self	NOUN
fcis-6485	46	44	-	-	PUNCT
fcis-6485	46	45	attention	attention	NOUN
fcis-6485	46	46	self	self	NOUN
fcis-6485	46	47	-	-	PUNCT
fcis-6485	46	48	attention	attention	NOUN
fcis-6485	46	49	figure	figure	NOUN
fcis-6485	46	50	1	1	NUM
fcis-6485	46	51	.	.	PUNCT
fcis-6485	47	1	generator	generator	NOUN
fcis-6485	47	2	network	network	NOUN
fcis-6485	47	3	structure	structure	PROPN
fcis-6485	47	4	cnn	cnn	PROPN
fcis-6485	47	5	leakyrelu	leakyrelu	PROPN
fcis-6485	47	6	cnn	cnn	PROPN
fcis-6485	47	7	batch	batch	VERB
fcis-6485	47	8	cnn	cnn	PROPN
fcis-6485	47	9	batch	batch	NOUN
fcis-6485	47	10	cnn	cnn	PROPN
fcis-6485	47	11	batch	batch	NOUN
fcis-6485	47	12	cnn	cnn	PROPN
fcis-6485	47	13	batch	batch	NOUN
fcis-6485	47	14	cnn	cnn	PROPN
fcis-6485	47	15	input	input	PROPN
fcis-6485	47	16	output	output	NOUN
fcis-6485	47	17	s	s	PART
fcis-6485	47	18	1	1	NUM
fcis-6485	47	19	s	s	NOUN
fcis-6485	47	20	1	1	NUM
fcis-6485	47	21	128×128×64	128×128×64	NUM
fcis-6485	47	22	256×256×3	256×256×3	NUM
fcis-6485	47	23	64×64×128	64×64×128	NUM
fcis-6485	48	1	32×32×256	32×32×256	NUM
fcis-6485	48	2	16×16×512	16×16×512	NUM
fcis-6485	48	3	15×15×512	15×15×512	NUM
fcis-6485	48	4	14×14×1	14×14×1	NUM
fcis-6485	48	5	leakyrelu	leakyrelu	PROPN
fcis-6485	48	6	leakyrelu	leakyrelu	PROPN
fcis-6485	48	7	leakyrelu	leakyrelu	PROPN
fcis-6485	48	8	leakyrelu	leakyrelu	PROPN
fcis-6485	48	9	self	self	NOUN
fcis-6485	48	10	-	-	PUNCT
fcis-6485	48	11	attention	attention	NOUN
fcis-6485	48	12	figure	figure	NOUN
fcis-6485	48	13	2	2	NUM
fcis-6485	48	14	.	.	NOUN
fcis-6485	48	15	discriminator	discriminator	NOUN
fcis-6485	48	16	network	network	NOUN
fcis-6485	48	17	structure	structure	NOUN
fcis-6485	48	18	our	our	PRON
fcis-6485	48	19	discriminator	discriminator	NOUN
fcis-6485	48	20	is	be	AUX
fcis-6485	48	21	the	the	DET
fcis-6485	48	22	"	"	PUNCT
fcis-6485	48	23	patch	patch	NOUN
fcis-6485	48	24	gan"[14	gan"[14	NOUN
fcis-6485	48	25	]	]	PUNCT
fcis-6485	48	26	.	.	PUNCT
fcis-6485	49	1	the	the	DET
fcis-6485	49	2	output	output	NOUN
fcis-6485	49	3	value	value	NOUN
fcis-6485	49	4	of	of	ADP
fcis-6485	49	5	the	the	DET
fcis-6485	49	6	discriminator	discriminator	NOUN
fcis-6485	49	7	of	of	ADP
fcis-6485	49	8	the	the	DET
fcis-6485	49	9	original	original	ADJ
fcis-6485	49	10	gan	gan	NOUN
fcis-6485	49	11	is	be	AUX
fcis-6485	49	12	just	just	ADV
fcis-6485	49	13	an	an	DET
fcis-6485	49	14	evaluation	evaluation	NOUN
fcis-6485	49	15	of	of	ADP
fcis-6485	49	16	the	the	DET
fcis-6485	49	17	image	image	NOUN
fcis-6485	49	18	,	,	PUNCT
fcis-6485	49	19	while	while	SCONJ
fcis-6485	49	20	the	the	DET
fcis-6485	49	21	"	"	PUNCT
fcis-6485	49	22	patch	patch	NOUN
fcis-6485	49	23	gan	gan	NOUN
fcis-6485	49	24	"	"	PUNCT
fcis-6485	49	25	is	be	AUX
fcis-6485	49	26	a	a	DET
fcis-6485	49	27	fully	fully	ADV
fcis-6485	49	28	convolutional	convolutional	ADJ
fcis-6485	49	29	form	form	NOUN
fcis-6485	49	30	,	,	PUNCT
fcis-6485	49	31	where	where	SCONJ
fcis-6485	49	32	the	the	DET
fcis-6485	49	33	image	image	NOUN
fcis-6485	49	34	passes	pass	VERB
fcis-6485	49	35	through	through	ADP
fcis-6485	49	36	the	the	DET
fcis-6485	49	37	convolutional	convolutional	ADJ
fcis-6485	49	38	layer	layer	NOUN
fcis-6485	49	39	and	and	CCONJ
fcis-6485	49	40	is	be	AUX
fcis-6485	49	41	not	not	PART
fcis-6485	49	42	fed	feed	VERB
fcis-6485	49	43	into	into	ADP
fcis-6485	49	44	the	the	DET
fcis-6485	49	45	fully	fully	ADV
fcis-6485	49	46	connected	connect	VERB
fcis-6485	49	47	layer	layer	NOUN
fcis-6485	49	48	or	or	CCONJ
fcis-6485	49	49	the	the	DET
fcis-6485	49	50	activation	activation	NOUN
fcis-6485	49	51	function	function	NOUN
fcis-6485	49	52	,	,	PUNCT
fcis-6485	49	53	but	but	CCONJ
fcis-6485	49	54	the	the	DET
fcis-6485	49	55	input	input	NOUN
fcis-6485	49	56	is	be	AUX
fcis-6485	49	57	mapped	map	VERB
fcis-6485	49	58	into	into	ADP
fcis-6485	49	59	an	an	DET
fcis-6485	49	60	n	n	NUM
fcis-6485	49	61	×	×	NOUN
fcis-6485	49	62	n	n	NOUN
fcis-6485	49	63	matrix	matrix	NOUN
fcis-6485	49	64	using	use	VERB
fcis-6485	49	65	the	the	DET
fcis-6485	49	66	convolution	convolution	NOUN
fcis-6485	49	67	.	.	PUNCT
fcis-6485	50	1	each	each	DET
fcis-6485	50	2	point	point	NOUN
fcis-6485	50	3	in	in	ADP
fcis-6485	50	4	the	the	DET
fcis-6485	50	5	n×n	n×n	PROPN
fcis-6485	50	6	matrix	matrix	NOUN
fcis-6485	50	7	represents	represent	VERB
fcis-6485	50	8	a	a	DET
fcis-6485	50	9	small	small	ADJ
fcis-6485	50	10	area	area	NOUN
fcis-6485	50	11	of	of	ADP
fcis-6485	50	12	the	the	DET
fcis-6485	50	13	original	original	ADJ
fcis-6485	50	14	image	image	NOUN
fcis-6485	50	15	,	,	PUNCT
fcis-6485	50	16	so	so	SCONJ
fcis-6485	50	17	the	the	DET
fcis-6485	50	18	"	"	PUNCT
fcis-6485	50	19	patch	patch	NOUN
fcis-6485	50	20	gan	gan	NOUN
fcis-6485	50	21	"	"	PUNCT
fcis-6485	50	22	can	can	AUX
fcis-6485	50	23	focus	focus	VERB
fcis-6485	50	24	on	on	ADP
fcis-6485	50	25	more	more	ADJ
fcis-6485	50	26	areas	area	NOUN
fcis-6485	50	27	,	,	PUNCT
fcis-6485	50	28	and	and	CCONJ
fcis-6485	50	29	thus	thus	ADV
fcis-6485	50	30	can	can	AUX
fcis-6485	50	31	focus	focus	VERB
fcis-6485	50	32	on	on	ADP
fcis-6485	50	33	more	more	ADV
fcis-6485	50	34	subtle	subtle	ADJ
fcis-6485	50	35	differences	difference	NOUN
fcis-6485	50	36	in	in	ADP
fcis-6485	50	37	the	the	DET
fcis-6485	50	38	image	image	NOUN
fcis-6485	50	39	.	.	PUNCT
fcis-6485	51	1	2.2	2.2	NUM
fcis-6485	51	2	.	.	PUNCT
fcis-6485	52	1	loss	loss	NOUN
fcis-6485	52	2	function	function	NOUN
fcis-6485	52	3	in	in	ADP
fcis-6485	52	4	order	order	NOUN
fcis-6485	52	5	to	to	PART
fcis-6485	52	6	enable	enable	VERB
fcis-6485	52	7	better	well	ADJ
fcis-6485	52	8	training	training	NOUN
fcis-6485	52	9	of	of	ADP
fcis-6485	52	10	the	the	DET
fcis-6485	52	11	network	network	NOUN
fcis-6485	52	12	,	,	PUNCT
fcis-6485	52	13	the	the	DET
fcis-6485	52	14	loss	loss	NOUN
fcis-6485	52	15	3	3	NUM
fcis-6485	52	16	function	function	NOUN
fcis-6485	52	17	is	be	AUX
fcis-6485	52	18	redesigned	redesign	VERB
fcis-6485	52	19	in	in	ADP
fcis-6485	52	20	this	this	DET
fcis-6485	52	21	paper	paper	NOUN
fcis-6485	52	22	.	.	PUNCT
fcis-6485	53	1	the	the	DET
fcis-6485	53	2	traditional	traditional	ADJ
fcis-6485	53	3	pixel	pixel	ADJ
fcis-6485	53	4	-	-	PUNCT
fcis-6485	53	5	bypixel	bypixel	ADJ
fcis-6485	53	6	loss	loss	NOUN
fcis-6485	53	7	-	-	PUNCT
fcis-6485	53	8	averaged	average	VERB
fcis-6485	53	9	absolute	absolute	ADJ
fcis-6485	53	10	value	value	NOUN
fcis-6485	53	11	error	error	NOUN
fcis-6485	53	12	(	(	PUNCT
fcis-6485	53	13	l1	l1	PROPN
fcis-6485	53	14	loss	loss	NOUN
fcis-6485	53	15	function	function	NOUN
fcis-6485	53	16	)	)	PUNCT
fcis-6485	54	1	[	[	X
fcis-6485	54	2	15	15	NUM
fcis-6485	54	3	]	]	PUNCT
fcis-6485	54	4	is	be	AUX
fcis-6485	54	5	used	use	VERB
fcis-6485	54	6	to	to	PART
fcis-6485	54	7	constrain	constrain	VERB
fcis-6485	54	8	the	the	DET
fcis-6485	54	9	images	image	NOUN
fcis-6485	54	10	generated	generate	VERB
fcis-6485	54	11	by	by	ADP
fcis-6485	54	12	the	the	DET
fcis-6485	54	13	generator	generator	NOUN
fcis-6485	54	14	so	so	SCONJ
fcis-6485	54	15	that	that	SCONJ
fcis-6485	54	16	the	the	DET
fcis-6485	54	17	output	output	NOUN
fcis-6485	54	18	results	result	NOUN
fcis-6485	54	19	do	do	AUX
fcis-6485	54	20	not	not	PART
fcis-6485	54	21	deviate	deviate	VERB
fcis-6485	54	22	too	too	ADV
fcis-6485	54	23	much	much	ADV
fcis-6485	54	24	from	from	ADP
fcis-6485	54	25	the	the	DET
fcis-6485	54	26	true	true	ADJ
fcis-6485	54	27	value	value	NOUN
fcis-6485	54	28	.	.	PUNCT
fcis-6485	55	1	compared	compare	VERB
fcis-6485	55	2	with	with	ADP
fcis-6485	55	3	the	the	DET
fcis-6485	55	4	pixel	pixel	NOUN
fcis-6485	55	5	-	-	PUNCT
fcis-6485	55	6	by	by	ADP
fcis-6485	55	7	-	-	PUNCT
fcis-6485	55	8	pixel	pixel	NOUN
fcis-6485	55	9	loss	loss	NOUN
fcis-6485	55	10	-	-	PUNCT
fcis-6485	55	11	average	average	NOUN
fcis-6485	55	12	squared	square	VERB
fcis-6485	55	13	loss	loss	NOUN
fcis-6485	55	14	function	function	NOUN
fcis-6485	55	15	(	(	PUNCT
fcis-6485	55	16	l2	l2	NOUN
fcis-6485	55	17	loss	loss	NOUN
fcis-6485	55	18	function	function	NOUN
fcis-6485	55	19	)	)	PUNCT
fcis-6485	55	20	,	,	PUNCT
fcis-6485	55	21	the	the	DET
fcis-6485	55	22	l1	l1	PROPN
fcis-6485	55	23	loss	loss	NOUN
fcis-6485	55	24	function	function	NOUN
fcis-6485	55	25	is	be	AUX
fcis-6485	55	26	chosen	choose	VERB
fcis-6485	55	27	as	as	ADP
fcis-6485	55	28	the	the	DET
fcis-6485	55	29	pixel	pixel	NOUN
fcis-6485	55	30	-	-	PUNCT
fcis-6485	55	31	by	by	ADP
fcis-6485	55	32	-	-	PUNCT
fcis-6485	55	33	pixel	pixel	NOUN
fcis-6485	55	34	loss	loss	NOUN
fcis-6485	55	35	function	function	NOUN
fcis-6485	55	36	of	of	ADP
fcis-6485	55	37	the	the	DET
fcis-6485	55	38	network	network	NOUN
fcis-6485	55	39	in	in	ADP
fcis-6485	55	40	this	this	DET
fcis-6485	55	41	paper	paper	NOUN
fcis-6485	55	42	because	because	SCONJ
fcis-6485	55	43	of	of	ADP
fcis-6485	55	44	the	the	DET
fcis-6485	55	45	advantages	advantage	NOUN
fcis-6485	55	46	of	of	ADP
fcis-6485	55	47	fast	fast	ADJ
fcis-6485	55	48	convergence	convergence	NOUN
fcis-6485	55	49	and	and	CCONJ
fcis-6485	55	50	gradient	gradient	ADJ
fcis-6485	55	51	stability	stability	NOUN
fcis-6485	55	52	.	.	PUNCT
fcis-6485	56	1	the	the	DET
fcis-6485	56	2	expression	expression	NOUN
fcis-6485	56	3	of	of	ADP
fcis-6485	56	4	the	the	DET
fcis-6485	56	5	l1	l1	PROPN
fcis-6485	56	6	function	function	NOUN
fcis-6485	56	7	is	be	AUX
fcis-6485	56	8	as	as	SCONJ
fcis-6485	56	9	follows	follow	VERB
fcis-6485	56	10	:	:	PUNCT
fcis-6485	56	11	1	1	NUM
fcis-6485	56	12	,	,	PUNCT
fcis-6485	56	13	,	,	PUNCT
fcis-6485	57	1	1	1	NUM
fcis-6485	57	2	1	1	NUM
fcis-6485	57	3	1	1	NUM
fcis-6485	57	4	w	w	NOUN
fcis-6485	57	5	h	h	NOUN
fcis-6485	57	6	gt	gt	PROPN
fcis-6485	57	7	pred	pre	VERB
fcis-6485	57	8	i	i	PRON
fcis-6485	57	9	j	j	PROPN
fcis-6485	58	1	i	i	PRON
fcis-6485	58	2	j	j	VERB
fcis-6485	59	1	i	i	PRON
fcis-6485	59	2	j	j	PROPN
fcis-6485	60	1	l	l	NOUN
fcis-6485	61	1	i	i	PRON
fcis-6485	61	2	i	i	PRON
fcis-6485	62	1	w	w	VERB
fcis-6485	62	2	h	h	NOUN
fcis-6485	63	1	=	=	PUNCT
fcis-6485	63	2	=	=	PUNCT
fcis-6485	63	3	=	=	PUNCT
fcis-6485	64	1	−	−	PROPN
fcis-6485	64	2			NOUN
fcis-6485	64	3			X
fcis-6485	64	4	(	(	PUNCT
fcis-6485	64	5	1	1	NUM
fcis-6485	64	6	)	)	PUNCT
fcis-6485	64	7	where	where	SCONJ
fcis-6485	64	8	,	,	PUNCT
fcis-6485	64	9	gti	gti	NOUN
fcis-6485	64	10	and	and	CCONJ
fcis-6485	64	11	predi	predi	NOUN
fcis-6485	64	12	denote	denote	VERB
fcis-6485	64	13	the	the	DET
fcis-6485	64	14	real	real	ADJ
fcis-6485	64	15	image	image	NOUN
fcis-6485	64	16	and	and	CCONJ
fcis-6485	64	17	the	the	DET
fcis-6485	64	18	generated	generate	VERB
fcis-6485	64	19	image	image	NOUN
fcis-6485	64	20	,	,	PUNCT
fcis-6485	64	21	respectively	respectively	ADV
fcis-6485	64	22	,	,	PUNCT
fcis-6485	64	23	and	and	CCONJ
fcis-6485	64	24	w	w	NOUN
fcis-6485	64	25	and	and	CCONJ
fcis-6485	64	26	h	h	NOUN
fcis-6485	64	27	denote	denote	VERB
fcis-6485	64	28	the	the	DET
fcis-6485	64	29	width	width	NOUN
fcis-6485	64	30	and	and	CCONJ
fcis-6485	64	31	height	height	NOUN
fcis-6485	64	32	of	of	ADP
fcis-6485	64	33	the	the	DET
fcis-6485	64	34	image	image	NOUN
fcis-6485	64	35	.	.	PUNCT
fcis-6485	65	1	gan	gin	VERB
fcis-6485	65	2	against	against	ADP
fcis-6485	65	3	loss	loss	NOUN
fcis-6485	65	4	can	can	AUX
fcis-6485	65	5	be	be	AUX
fcis-6485	65	6	expressed	express	VERB
fcis-6485	65	7	as	as	SCONJ
fcis-6485	65	8	follows	follow	VERB
fcis-6485	65	9	:	:	PUNCT
fcis-6485	65	10	~	~	PUNCT
fcis-6485	65	11	(	(	PUNCT
fcis-6485	65	12	)	)	PUNCT
fcis-6485	65	13	(	(	PUNCT
fcis-6485	65	14	(	(	PUNCT
fcis-6485	65	15	)	)	PUNCT
fcis-6485	65	16	)	)	PUNCT
fcis-6485	65	17	1	1	NUM
fcis-6485	65	18	datacg	datacg	NOUN
fcis-6485	65	19	x	x	X
fcis-6485	65	20	p	p	X
fcis-6485	65	21	xl	xl	PROPN
fcis-6485	65	22	e	e	PROPN
fcis-6485	65	23	d	d	X
fcis-6485	65	24	g	g	PROPN
fcis-6485	65	25	x=	x=	PROPN
fcis-6485	66	1	−	−	PROPN
fcis-6485	66	2	（	（	PUNCT
fcis-6485	66	3	）	）	PUNCT
fcis-6485	67	1	(	(	PUNCT
fcis-6485	67	2	2	2	NUM
fcis-6485	67	3	)	)	PUNCT
fcis-6485	67	4	~	~	PUNCT
fcis-6485	67	5	(	(	PUNCT
fcis-6485	67	6	)	)	PUNCT
fcis-6485	67	7	~	~	PUNCT
fcis-6485	67	8	(	(	PUNCT
fcis-6485	67	9	)	)	PUNCT
fcis-6485	67	10	(	(	PUNCT
fcis-6485	67	11	(	(	PUNCT
fcis-6485	67	12	)	)	PUNCT
fcis-6485	67	13	1	1	X
fcis-6485	67	14	)	)	PUNCT
fcis-6485	67	15	(	(	PUNCT
fcis-6485	67	16	(	(	PUNCT
fcis-6485	67	17	(	(	PUNCT
fcis-6485	67	18	)	)	PUNCT
fcis-6485	67	19	)	)	PUNCT
fcis-6485	68	1	datacd	datacd	NOUN
fcis-6485	68	2	y	y	PROPN
fcis-6485	68	3	p	p	X
fcis-6485	68	4	y	y	PROPN
fcis-6485	68	5	x	x	PROPN
fcis-6485	68	6	pdata	pdata	VERB
fcis-6485	68	7	xl	xl	PROPN
fcis-6485	68	8	e	e	PROPN
fcis-6485	68	9	d	d	X
fcis-6485	68	10	y	y	PROPN
fcis-6485	68	11	e	e	PROPN
fcis-6485	68	12	d	d	X
fcis-6485	68	13	g	g	PROPN
fcis-6485	68	14	x=	x=	PROPN
fcis-6485	69	1	−	−	PROPN
fcis-6485	70	1	+	+	CCONJ
fcis-6485	70	2	(	(	PUNCT
fcis-6485	70	3	3	3	X
fcis-6485	70	4	)	)	PUNCT
fcis-6485	70	5	where	where	SCONJ
fcis-6485	70	6	lcg	lcg	PROPN
fcis-6485	70	7	and	and	CCONJ
fcis-6485	70	8	lcg	lcg	PROPN
fcis-6485	70	9	denotes	denote	VERB
fcis-6485	70	10	the	the	DET
fcis-6485	70	11	gan	gan	PROPN
fcis-6485	70	12	generator	generator	PROPN
fcis-6485	70	13	and	and	CCONJ
fcis-6485	70	14	discriminator	discriminator	NOUN
fcis-6485	70	15	adversarial	adversarial	ADJ
fcis-6485	70	16	loss	loss	NOUN
fcis-6485	70	17	.	.	PUNCT
fcis-6485	71	1	so	so	ADV
fcis-6485	71	2	,	,	PUNCT
fcis-6485	71	3	the	the	DET
fcis-6485	71	4	loss	loss	NOUN
fcis-6485	71	5	function	function	NOUN
fcis-6485	71	6	of	of	ADP
fcis-6485	71	7	the	the	DET
fcis-6485	71	8	generator	generator	NOUN
fcis-6485	71	9	is	be	AUX
fcis-6485	71	10	as	as	SCONJ
fcis-6485	71	11	follows	follow	VERB
fcis-6485	71	12	:	:	PUNCT
fcis-6485	71	13	1	1	NUM
fcis-6485	71	14	g	g	NOUN
fcis-6485	71	15	cgl	cgl	PROPN
fcis-6485	71	16	l	l	NOUN
fcis-6485	71	17	l=	l=	NOUN
fcis-6485	72	1	+	+	CCONJ
fcis-6485	72	2	(	(	PUNCT
fcis-6485	72	3	4	4	X
fcis-6485	72	4	)	)	PUNCT
fcis-6485	72	5	the	the	DET
fcis-6485	72	6	discriminator	discriminator	NOUN
fcis-6485	72	7	loss	loss	NOUN
fcis-6485	72	8	function	function	NOUN
fcis-6485	72	9	is	be	AUX
fcis-6485	72	10	as	as	SCONJ
fcis-6485	72	11	follows	follow	VERB
fcis-6485	72	12	:	:	PUNCT
fcis-6485	72	13	d	d	AUX
fcis-6485	72	14	cdl	cdl	PROPN
fcis-6485	72	15	l=	l=	ADJ
fcis-6485	72	16	(	(	PUNCT
fcis-6485	72	17	5	5	X
fcis-6485	72	18	)	)	PUNCT
fcis-6485	72	19	where	where	SCONJ
fcis-6485	72	20	λ	λ	PROPN
fcis-6485	72	21	is	be	AUX
fcis-6485	72	22	the	the	DET
fcis-6485	72	23	weight	weight	NOUN
fcis-6485	72	24	parameter	parameter	NOUN
fcis-6485	72	25	to	to	PART
fcis-6485	72	26	balance	balance	VERB
fcis-6485	72	27	the	the	DET
fcis-6485	72	28	weight	weight	NOUN
fcis-6485	72	29	of	of	ADP
fcis-6485	72	30	the	the	DET
fcis-6485	72	31	generator	generator	NOUN
fcis-6485	72	32	gan	gin	VERB
fcis-6485	72	33	adversarial	adversarial	ADJ
fcis-6485	72	34	loss	loss	NOUN
fcis-6485	72	35	function	function	NOUN
fcis-6485	72	36	with	with	ADP
fcis-6485	72	37	l1	l1	PROPN
fcis-6485	72	38	.	.	PUNCT
fcis-6485	73	1	3	3	X
fcis-6485	73	2	.	.	X
fcis-6485	73	3	experiment	experiment	NOUN
fcis-6485	73	4	3.1	3.1	NUM
fcis-6485	73	5	.	.	PUNCT
fcis-6485	74	1	data	datum	NOUN
fcis-6485	74	2	set	set	VERB
fcis-6485	74	3	of	of	ADP
fcis-6485	74	4	experiments	experiment	NOUN
fcis-6485	74	5	the	the	DET
fcis-6485	74	6	experimental	experimental	ADJ
fcis-6485	74	7	data	data	NOUN
fcis-6485	74	8	sets	set	NOUN
fcis-6485	74	9	were	be	AUX
fcis-6485	74	10	obtained	obtain	VERB
fcis-6485	74	11	from	from	ADP
fcis-6485	74	12	two	two	NUM
fcis-6485	74	13	different	different	ADJ
fcis-6485	74	14	texture	texture	NOUN
fcis-6485	74	15	defect	defect	NOUN
fcis-6485	74	16	databases	database	NOUN
fcis-6485	74	17	d1	d1	PROPN
fcis-6485	74	18	and	and	CCONJ
fcis-6485	74	19	d2	d2	PROPN
fcis-6485	74	20	in	in	ADP
fcis-6485	74	21	the	the	DET
fcis-6485	74	22	fabric	fabric	NOUN
fcis-6485	74	23	defects	defect	NOUN
fcis-6485	74	24	database	database	NOUN
fcis-6485	74	25	of	of	ADP
fcis-6485	74	26	wtu	wtu	PROPN
fcis-6485	74	27	.	.	PUNCT
fcis-6485	75	1	d1	d1	PROPN
fcis-6485	75	2	(	(	PUNCT
fcis-6485	75	3	plain	plain	ADJ
fcis-6485	75	4	tissue	tissue	NOUN
fcis-6485	75	5	;	;	PUNCT
fcis-6485	75	6	weft	weft	NOUN
fcis-6485	75	7	density	density	NOUN
fcis-6485	75	8	of	of	ADP
fcis-6485	75	9	30	30	NUM
fcis-6485	75	10	/	/	SYM
fcis-6485	75	11	cm	cm	NUM
fcis-6485	75	12	;	;	PUNCT
fcis-6485	75	13	warp	warp	ADJ
fcis-6485	75	14	density	density	NOUN
fcis-6485	75	15	of	of	ADP
fcis-6485	75	16	32	32	NUM
fcis-6485	75	17	/	/	SYM
fcis-6485	75	18	cm	cm	NUM
fcis-6485	75	19	;	;	PUNCT
fcis-6485	75	20	line	line	NOUN
fcis-6485	75	21	density	density	NOUN
fcis-6485	75	22	of	of	ADP
fcis-6485	75	23	18.23	18.23	NUM
fcis-6485	75	24	tex	tex	PROPN
fcis-6485	75	25	;	;	PUNCT
fcis-6485	75	26	acquisition	acquisition	NOUN
fcis-6485	75	27	resolution	resolution	NOUN
fcis-6485	75	28	of	of	ADP
fcis-6485	75	29	0.089	0.089	NUM
fcis-6485	75	30	mm	mm	PROPN
fcis-6485	75	31	/	/	SYM
fcis-6485	75	32	pixel	pixel	PROPN
fcis-6485	75	33	)	)	PUNCT
fcis-6485	75	34	and	and	CCONJ
fcis-6485	75	35	d2	d2	PROPN
fcis-6485	75	36	(	(	PUNCT
fcis-6485	75	37	plain	plain	ADJ
fcis-6485	75	38	tissue	tissue	NOUN
fcis-6485	75	39	;	;	PUNCT
fcis-6485	75	40	weft	weft	NOUN
fcis-6485	75	41	density	density	NOUN
fcis-6485	75	42	of	of	ADP
fcis-6485	75	43	37.5	37.5	NUM
fcis-6485	75	44	/	/	SYM
fcis-6485	75	45	cm	cm	NUM
fcis-6485	75	46	;	;	PUNCT
fcis-6485	75	47	line	line	NOUN
fcis-6485	75	48	density	density	NOUN
fcis-6485	75	49	of	of	ADP
fcis-6485	75	50	41	41	NUM
fcis-6485	75	51	/	/	SYM
fcis-6485	75	52	cm	cm	NUM
fcis-6485	75	53	;	;	PUNCT
fcis-6485	75	54	line	line	NOUN
fcis-6485	75	55	density	density	NOUN
fcis-6485	75	56	of	of	ADP
fcis-6485	75	57	36.34	36.34	NUM
fcis-6485	75	58	tex	tex	PROPN
fcis-6485	75	59	;	;	PUNCT
fcis-6485	75	60	acquisition	acquisition	NOUN
fcis-6485	75	61	resolution	resolution	NOUN
fcis-6485	75	62	of	of	ADP
fcis-6485	75	63	0.089	0.089	NUM
fcis-6485	75	64	mm	mm	PROPN
fcis-6485	75	65	/	/	SYM
fcis-6485	75	66	pixel	pixel	PROPN
fcis-6485	75	67	)	)	PUNCT
fcis-6485	75	68	.	.	PUNCT
fcis-6485	76	1	(	(	PUNCT
fcis-6485	76	2	37.5	37.5	NUM
fcis-6485	76	3	weft	weft	NOUN
fcis-6485	76	4	/	/	SYM
fcis-6485	76	5	cm	cm	NUM
fcis-6485	76	6	;	;	PUNCT
fcis-6485	76	7	41	41	NUM
fcis-6485	76	8	dense	dense	ADJ
fcis-6485	76	9	/	/	SYM
fcis-6485	76	10	cm	cm	NOUN
fcis-6485	76	11	;	;	PUNCT
fcis-6485	76	12	36.34	36.34	NUM
fcis-6485	76	13	tex	tex	NOUN
fcis-6485	76	14	;	;	PUNCT
fcis-6485	76	15	0.089	0.089	NUM
fcis-6485	76	16	mm	mm	NOUN
fcis-6485	76	17	/	/	SYM
fcis-6485	76	18	pixel	pixel	PROPN
fcis-6485	76	19	)	)	PUNCT
fcis-6485	76	20	and	and	CCONJ
fcis-6485	76	21	d2	d2	PROPN
fcis-6485	76	22	database	database	NOUN
fcis-6485	76	23	(	(	PUNCT
fcis-6485	76	24	plain	plain	ADJ
fcis-6485	76	25	;	;	PUNCT
fcis-6485	76	26	37.5	37.5	NUM
fcis-6485	76	27	weft	weft	NOUN
fcis-6485	76	28	/	/	SYM
fcis-6485	76	29	cm	cm	NUM
fcis-6485	76	30	;	;	PUNCT
fcis-6485	76	31	41	41	NUM
fcis-6485	76	32	dense	dense	ADJ
fcis-6485	76	33	/	/	SYM
fcis-6485	76	34	cm	cm	NOUN
fcis-6485	76	35	;	;	PUNCT
fcis-6485	76	36	36.34	36.34	NUM
fcis-6485	76	37	tex	tex	NOUN
fcis-6485	76	38	;	;	PUNCT
fcis-6485	76	39	0.089	0.089	NUM
fcis-6485	76	40	mm	mm	NOUN
fcis-6485	76	41	/	/	SYM
fcis-6485	76	42	pixel	pixel	PROPN
fcis-6485	76	43	)	)	PUNCT
fcis-6485	76	44	.	.	PUNCT
fcis-6485	77	1	3.2	3.2	NUM
fcis-6485	77	2	.	.	PUNCT
fcis-6485	77	3	model	model	NOUN
fcis-6485	77	4	evaluation	evaluation	NOUN
fcis-6485	77	5	metrics	metric	NOUN
fcis-6485	77	6	in	in	ADP
fcis-6485	77	7	this	this	DET
fcis-6485	77	8	paper	paper	NOUN
fcis-6485	77	9	,	,	PUNCT
fcis-6485	77	10	three	three	NUM
fcis-6485	77	11	model	model	NOUN
fcis-6485	77	12	metrics	metric	NOUN
fcis-6485	77	13	,	,	PUNCT
fcis-6485	77	14	recall	recall	NOUN
fcis-6485	77	15	,	,	PUNCT
fcis-6485	77	16	precision	precision	NOUN
fcis-6485	77	17	and	and	CCONJ
fcis-6485	77	18	f1	f1	NOUN
fcis-6485	77	19	-	-	PUNCT
fcis-6485	77	20	measure	measure	NOUN
fcis-6485	77	21	,	,	PUNCT
fcis-6485	77	22	are	be	AUX
fcis-6485	77	23	used	use	VERB
fcis-6485	77	24	to	to	PART
fcis-6485	77	25	evaluate	evaluate	VERB
fcis-6485	77	26	the	the	DET
fcis-6485	77	27	performance	performance	NOUN
fcis-6485	77	28	of	of	ADP
fcis-6485	77	29	the	the	DET
fcis-6485	77	30	model	model	NOUN
fcis-6485	77	31	.	.	PUNCT
fcis-6485	78	1	they	they	PRON
fcis-6485	78	2	are	be	AUX
fcis-6485	78	3	defined	define	VERB
fcis-6485	78	4	as	as	SCONJ
fcis-6485	78	5	follows	follow	VERB
fcis-6485	78	6	:	:	PUNCT
fcis-6485	78	7	re	re	VERB
fcis-6485	78	8	100%p	100%p	NUM
fcis-6485	78	9	p	p	NOUN
fcis-6485	78	10	p	p	X
fcis-6485	78	11	tp	tp	X
fcis-6485	78	12	tp	tp	ADP
fcis-6485	78	13	fn	fn	NOUN
fcis-6485	79	1	=	=	PUNCT
fcis-6485	79	2			PROPN
fcis-6485	80	1	+	+	CCONJ
fcis-6485	80	2	(	(	PUNCT
fcis-6485	80	3	6	6	NUM
fcis-6485	80	4	)	)	PUNCT
fcis-6485	80	5	pr	pr	NOUN
fcis-6485	81	1	100%p	100%p	NUM
fcis-6485	81	2	p	p	NOUN
fcis-6485	82	1	p	p	X
fcis-6485	82	2	tp	tp	X
fcis-6485	82	3	tp	tp	ADP
fcis-6485	82	4	fp	fp	PROPN
fcis-6485	82	5	=	=	PUNCT
fcis-6485	82	6			PROPN
fcis-6485	83	1	+	+	CCONJ
fcis-6485	83	2	(	(	PUNCT
fcis-6485	83	3	7	7	NUM
fcis-6485	83	4	)	)	SYM
fcis-6485	83	5	2	2	NUM
fcis-6485	83	6	pr	pr	NOUN
fcis-6485	83	7	re	re	NOUN
fcis-6485	83	8	1	1	NUM
fcis-6485	83	9	100	100	NUM
fcis-6485	83	10	%	%	NOUN
fcis-6485	83	11	pr	pr	INTJ
fcis-6485	83	12	re	re	ADP
fcis-6485	83	13	f	f	PROPN
fcis-6485	83	14			PROPN
fcis-6485	83	15			PROPN
fcis-6485	83	16	=	=	PUNCT
fcis-6485	83	17			PROPN
fcis-6485	83	18	+	+	CCONJ
fcis-6485	83	19	(	(	PUNCT
fcis-6485	83	20	8)	8)	NUM
fcis-6485	83	21	where	where	SCONJ
fcis-6485	83	22	re	re	VERB
fcis-6485	83	23	,	,	PUNCT
fcis-6485	83	24	pr	pr	NOUN
fcis-6485	83	25	and	and	CCONJ
fcis-6485	83	26	f1	f1	PROPN
fcis-6485	83	27	represent	represent	NOUN
fcis-6485	83	28	recall	recall	NOUN
fcis-6485	83	29	,	,	PUNCT
fcis-6485	83	30	precision	precision	NOUN
fcis-6485	83	31	and	and	CCONJ
fcis-6485	83	32	weighted	weight	VERB
fcis-6485	83	33	summed	sum	VERB
fcis-6485	83	34	average	average	ADJ
fcis-6485	83	35	,	,	PUNCT
fcis-6485	83	36	respectively	respectively	ADV
fcis-6485	83	37	.	.	PUNCT
fcis-6485	84	1	tpp	tpp	PROPN
fcis-6485	84	2	is	be	AUX
fcis-6485	84	3	the	the	DET
fcis-6485	84	4	proportion	proportion	NOUN
fcis-6485	84	5	of	of	ADP
fcis-6485	84	6	correctly	correctly	ADV
fcis-6485	84	7	segmented	segment	VERB
fcis-6485	84	8	defect	defect	NOUN
fcis-6485	84	9	areas	area	NOUN
fcis-6485	84	10	in	in	ADP
fcis-6485	84	11	the	the	DET
fcis-6485	84	12	foreground	foreground	NOUN
fcis-6485	84	13	,	,	PUNCT
fcis-6485	84	14	fpp	fpp	PROPN
fcis-6485	84	15	is	be	AUX
fcis-6485	84	16	the	the	DET
fcis-6485	84	17	proportion	proportion	NOUN
fcis-6485	84	18	of	of	ADP
fcis-6485	84	19	incorrectly	incorrectly	ADV
fcis-6485	84	20	segmented	segment	VERB
fcis-6485	84	21	defect	defect	NOUN
fcis-6485	84	22	areas	area	NOUN
fcis-6485	84	23	in	in	ADP
fcis-6485	84	24	the	the	DET
fcis-6485	84	25	background	background	NOUN
fcis-6485	84	26	,	,	PUNCT
fcis-6485	84	27	and	and	CCONJ
fcis-6485	84	28	fnp	fnp	PROPN
fcis-6485	84	29	indicates	indicate	VERB
fcis-6485	84	30	the	the	DET
fcis-6485	84	31	proportion	proportion	NOUN
fcis-6485	84	32	of	of	ADP
fcis-6485	84	33	undetected	undetected	ADJ
fcis-6485	84	34	defect	defect	NOUN
fcis-6485	84	35	areas	area	NOUN
fcis-6485	84	36	in	in	ADP
fcis-6485	84	37	the	the	DET
fcis-6485	84	38	defect	defect	NOUN
fcis-6485	84	39	areas	area	NOUN
fcis-6485	84	40	.	.	PUNCT
fcis-6485	85	1	f1	f1	PROPN
fcis-6485	85	2	evaluates	evaluate	NOUN
fcis-6485	85	3	recall	recall	VERB
fcis-6485	85	4	and	and	CCONJ
fcis-6485	85	5	precision	precision	NOUN
fcis-6485	85	6	.	.	PUNCT
fcis-6485	86	1	3.3	3.3	NUM
fcis-6485	86	2	.	.	PUNCT
fcis-6485	87	1	training	training	NOUN
fcis-6485	87	2	details	detail	NOUN
fcis-6485	87	3	all	all	DET
fcis-6485	87	4	tests	test	NOUN
fcis-6485	87	5	were	be	AUX
fcis-6485	87	6	performed	perform	VERB
fcis-6485	87	7	on	on	ADP
fcis-6485	87	8	a	a	DET
fcis-6485	87	9	gpu	gpu	NOUN
fcis-6485	87	10	-	-	PUNCT
fcis-6485	87	11	equipped	equipped	ADJ
fcis-6485	87	12	computer	computer	NOUN
fcis-6485	87	13	with	with	ADP
fcis-6485	87	14	the	the	DET
fcis-6485	87	15	configuration	configuration	NOUN
fcis-6485	87	16	shown	show	VERB
fcis-6485	87	17	in	in	ADP
fcis-6485	87	18	table	table	NOUN
fcis-6485	87	19	1	1	NUM
fcis-6485	87	20	.	.	PUNCT
fcis-6485	87	21	table	table	NOUN
fcis-6485	87	22	1	1	NUM
fcis-6485	87	23	.	.	PUNCT
fcis-6485	87	24	computer	computer	NOUN
fcis-6485	87	25	system	system	NOUN
fcis-6485	87	26	configuration	configuration	NOUN
fcis-6485	87	27	system	system	NOUN
fcis-6485	87	28	memory	memory	NOUN
fcis-6485	87	29	gpu	gpu	NOUN
fcis-6485	87	30	cpu	cpu	NOUN
fcis-6485	87	31	framework	framework	NOUN
fcis-6485	87	32	windows	window	VERB
fcis-6485	87	33	10	10	NUM
fcis-6485	87	34	64	64	NUM
fcis-6485	87	35	g	g	PROPN
fcis-6485	87	36	nvidia	nvidia	PROPN
fcis-6485	88	1	gtx1080ti	gtx1080ti	PROPN
fcis-6485	88	2	intel	intel	PROPN
fcis-6485	88	3	core	core	PROPN
fcis-6485	88	4	i78700k	i78700k	PROPN
fcis-6485	88	5	@	@	ADP
fcis-6485	88	6	3.70ghz	3.70ghz	NUM
fcis-6485	88	7	pytorch	pytorch	NOUN
fcis-6485	88	8	,	,	PUNCT
fcis-6485	88	9	cuda10.1	cuda10.1	PROPN
fcis-6485	88	10	,	,	PUNCT
fcis-6485	88	11	cudnn7.6	cudnn7.6	PROPN
fcis-6485	88	12	in	in	ADP
fcis-6485	88	13	the	the	DET
fcis-6485	88	14	experiments	experiment	NOUN
fcis-6485	88	15	of	of	ADP
fcis-6485	88	16	this	this	DET
fcis-6485	88	17	paper	paper	NOUN
fcis-6485	88	18	,	,	PUNCT
fcis-6485	88	19	we	we	PRON
fcis-6485	88	20	experiment	experiment	VERB
fcis-6485	88	21	the	the	DET
fcis-6485	88	22	adam	adam	PROPN
fcis-6485	88	23	optimizer	optimizer	NOUN
fcis-6485	88	24	for	for	ADP
fcis-6485	88	25	training	training	NOUN
fcis-6485	88	26	,	,	PUNCT
fcis-6485	88	27	where	where	SCONJ
fcis-6485	88	28	β1=0.5	β1=0.5	PROPN
fcis-6485	88	29	and	and	CCONJ
fcis-6485	88	30	β2=0.999	β2=0.999	NUM
fcis-6485	88	31	.	.	PUNCT
fcis-6485	89	1	the	the	DET
fcis-6485	89	2	initial	initial	ADJ
fcis-6485	89	3	learning	learning	NOUN
fcis-6485	89	4	rate	rate	NOUN
fcis-6485	89	5	is	be	AUX
fcis-6485	89	6	set	set	VERB
fcis-6485	89	7	to	to	ADP
fcis-6485	89	8	0.0002	0.0002	NUM
fcis-6485	89	9	,	,	PUNCT
fcis-6485	89	10	and	and	CCONJ
fcis-6485	89	11	the	the	DET
fcis-6485	89	12	learning	learning	NOUN
fcis-6485	89	13	rate	rate	NOUN
fcis-6485	89	14	is	be	AUX
fcis-6485	89	15	gradually	gradually	ADV
fcis-6485	89	16	decayed	decay	VERB
fcis-6485	89	17	to	to	ADP
fcis-6485	89	18	0	0	NUM
fcis-6485	89	19	in	in	ADP
fcis-6485	89	20	positive	positive	ADJ
fcis-6485	89	21	proportion	proportion	NOUN
fcis-6485	89	22	to	to	ADP
fcis-6485	89	23	the	the	DET
fcis-6485	89	24	last	last	ADJ
fcis-6485	89	25	200	200	NUM
fcis-6485	89	26	epochs	epoch	NOUN
fcis-6485	89	27	of	of	ADP
fcis-6485	89	28	training	training	NOUN
fcis-6485	89	29	.	.	PUNCT
fcis-6485	90	1	3.4	3.4	NUM
fcis-6485	90	2	.	.	PUNCT
fcis-6485	90	3	experimental	experimental	ADJ
fcis-6485	90	4	results	result	NOUN
fcis-6485	90	5	holes	hole	VERB
fcis-6485	90	6	oil	oil	NOUN
fcis-6485	90	7	stains	stain	NOUN
fcis-6485	90	8	thread	thread	NOUN
fcis-6485	90	9	(	(	PUNCT
fcis-6485	90	10	a)original	a)original	PROPN
fcis-6485	90	11	image	image	NOUN
fcis-6485	90	12	(	(	PUNCT
fcis-6485	90	13	b)detectio	b)detectio	NOUN
fcis-6485	90	14	n	n	PRON
fcis-6485	90	15	result	result	VERB
fcis-6485	90	16	figure	figure	NOUN
fcis-6485	90	17	3	3	X
fcis-6485	90	18	.	.	X
fcis-6485	90	19	d1	d1	PROPN
fcis-6485	90	20	sample	sample	NOUN
fcis-6485	90	21	detection	detection	NOUN
fcis-6485	90	22	results	result	VERB
fcis-6485	90	23	holes	hole	VERB
fcis-6485	90	24	oil	oil	NOUN
fcis-6485	90	25	stains	stain	NOUN
fcis-6485	90	26	thread	thread	NOUN
fcis-6485	90	27	(	(	PUNCT
fcis-6485	90	28	a)original	a)original	PROPN
fcis-6485	90	29	image	image	NOUN
fcis-6485	90	30	(	(	PUNCT
fcis-6485	90	31	b)detectio	b)detectio	NOUN
fcis-6485	90	32	n	n	PRON
fcis-6485	90	33	result	result	VERB
fcis-6485	90	34	figure	figure	NOUN
fcis-6485	90	35	4	4	NUM
fcis-6485	90	36	.	.	PUNCT
fcis-6485	90	37	d2	d2	PROPN
fcis-6485	90	38	sample	sample	NOUN
fcis-6485	90	39	detection	detection	NOUN
fcis-6485	90	40	results	result	VERB
fcis-6485	90	41	from	from	ADP
fcis-6485	90	42	figure	figure	NOUN
fcis-6485	90	43	3	3	NUM
fcis-6485	90	44	and	and	CCONJ
fcis-6485	90	45	figure	figure	VERB
fcis-6485	90	46	4	4	NUM
fcis-6485	90	47	,	,	PUNCT
fcis-6485	90	48	it	it	PRON
fcis-6485	90	49	can	can	AUX
fcis-6485	90	50	be	be	AUX
fcis-6485	90	51	seen	see	VERB
fcis-6485	90	52	that	that	SCONJ
fcis-6485	90	53	the	the	DET
fcis-6485	90	54	proposed	propose	VERB
fcis-6485	90	55	method	method	NOUN
fcis-6485	90	56	can	can	AUX
fcis-6485	90	57	effectively	effectively	ADV
fcis-6485	90	58	detect	detect	VERB
fcis-6485	90	59	all	all	DET
fcis-6485	90	60	kinds	kind	NOUN
fcis-6485	90	61	of	of	ADP
fcis-6485	90	62	defects	defect	NOUN
fcis-6485	90	63	on	on	ADP
fcis-6485	90	64	both	both	CCONJ
fcis-6485	90	65	d1	d1	PROPN
fcis-6485	90	66	and	and	CCONJ
fcis-6485	90	67	d2	d2	NOUN
fcis-6485	90	68	databases	database	NOUN
fcis-6485	90	69	.	.	PUNCT
fcis-6485	91	1	from	from	ADP
fcis-6485	91	2	table	table	NOUN
fcis-6485	91	3	2	2	NUM
fcis-6485	91	4	,	,	PUNCT
fcis-6485	91	5	we	we	PRON
fcis-6485	91	6	can	can	AUX
fcis-6485	91	7	see	see	VERB
fcis-6485	91	8	that	that	SCONJ
fcis-6485	91	9	the	the	DET
fcis-6485	91	10	detection	detection	NOUN
fcis-6485	91	11	accuracy	accuracy	NOUN
fcis-6485	91	12	and	and	CCONJ
fcis-6485	91	13	recall	recall	NOUN
fcis-6485	91	14	rate	rate	NOUN
fcis-6485	91	15	of	of	ADP
fcis-6485	91	16	this	this	DET
fcis-6485	91	17	method	method	NOUN
fcis-6485	91	18	are	be	AUX
fcis-6485	91	19	good	good	ADJ
fcis-6485	91	20	,	,	PUNCT
fcis-6485	91	21	and	and	CCONJ
fcis-6485	91	22	the	the	DET
fcis-6485	91	23	f1measure	f1measure	NOUN
fcis-6485	91	24	reaches	reach	VERB
fcis-6485	91	25	87	87	NUM
fcis-6485	91	26	%	%	NOUN
fcis-6485	91	27	.	.	PUNCT
fcis-6485	92	1	table	table	NOUN
fcis-6485	92	2	2	2	NUM
fcis-6485	92	3	.	.	PUNCT
fcis-6485	92	4	computer	computer	NOUN
fcis-6485	92	5	system	system	NOUN
fcis-6485	92	6	configuration	configuration	NOUN
fcis-6485	92	7	indicators	indicator	NOUN
fcis-6485	92	8	recall	recall	VERB
fcis-6485	92	9	precision	precision	NOUN
fcis-6485	92	10	f1	f1	NOUN
fcis-6485	92	11	-	-	PUNCT
fcis-6485	92	12	measure	measure	NOUN
fcis-6485	92	13	value	value	NOUN
fcis-6485	92	14	0.78	0.78	NUM
fcis-6485	92	15	0.99	0.99	NUM
fcis-6485	92	16	0.87	0.87	NUM
fcis-6485	92	17	4	4	NUM
fcis-6485	92	18	.	.	PUNCT
fcis-6485	92	19	conclusion	conclusion	NOUN
fcis-6485	92	20	in	in	ADP
fcis-6485	92	21	this	this	DET
fcis-6485	92	22	paper	paper	NOUN
fcis-6485	92	23	,	,	PUNCT
fcis-6485	92	24	we	we	PRON
fcis-6485	92	25	propose	propose	VERB
fcis-6485	92	26	a	a	DET
fcis-6485	92	27	defect	defect	NOUN
fcis-6485	92	28	detection	detection	NOUN
fcis-6485	92	29	algorithm	algorithm	NOUN
fcis-6485	92	30	for	for	ADP
fcis-6485	92	31	image	image	NOUN
fcis-6485	92	32	reconstruction	reconstruction	NOUN
fcis-6485	92	33	based	base	VERB
fcis-6485	92	34	on	on	ADP
fcis-6485	92	35	the	the	DET
fcis-6485	92	36	self	self	NOUN
fcis-6485	92	37	-	-	PUNCT
fcis-6485	92	38	attentive	attentive	ADJ
fcis-6485	92	39	mechanism	mechanism	NOUN
fcis-6485	92	40	,	,	PUNCT
fcis-6485	92	41	which	which	PRON
fcis-6485	92	42	introduces	introduce	VERB
fcis-6485	92	43	the	the	DET
fcis-6485	92	44	self	self	NOUN
fcis-6485	92	45	-	-	PUNCT
fcis-6485	92	46	attentive	attentive	ADJ
fcis-6485	92	47	mechanism	mechanism	NOUN
fcis-6485	92	48	into	into	ADP
fcis-6485	92	49	the	the	DET
fcis-6485	92	50	pix2pix	pix2pix	ADJ
fcis-6485	92	51	network	network	NOUN
fcis-6485	92	52	to	to	PART
fcis-6485	92	53	make	make	VERB
fcis-6485	92	54	it	it	PRON
fcis-6485	92	55	capable	capable	ADJ
fcis-6485	92	56	of	of	ADP
fcis-6485	92	57	extracting	extract	VERB
fcis-6485	92	58	global	global	ADJ
fcis-6485	92	59	features	feature	NOUN
fcis-6485	92	60	,	,	PUNCT
fcis-6485	92	61	and	and	CCONJ
fcis-6485	92	62	then	then	ADV
fcis-6485	92	63	introduces	introduce	VERB
fcis-6485	92	64	the	the	DET
fcis-6485	92	65	l1	l1	PROPN
fcis-6485	92	66	loss	loss	NOUN
fcis-6485	92	67	function	function	NOUN
fcis-6485	92	68	in	in	ADP
fcis-6485	92	69	the	the	DET
fcis-6485	92	70	training	training	NOUN
fcis-6485	92	71	to	to	PART
fcis-6485	92	72	constrain	constrain	VERB
fcis-6485	92	73	the	the	DET
fcis-6485	92	74	images	image	NOUN
fcis-6485	92	75	generated	generate	VERB
fcis-6485	92	76	by	by	ADP
fcis-6485	92	77	the	the	DET
fcis-6485	92	78	generator	generator	NOUN
fcis-6485	92	79	so	so	SCONJ
fcis-6485	92	80	that	that	SCONJ
fcis-6485	92	81	the	the	DET
fcis-6485	92	82	output	output	NOUN
fcis-6485	92	83	results	result	NOUN
fcis-6485	92	84	will	will	AUX
fcis-6485	92	85	not	not	PART
fcis-6485	92	86	deviate	deviate	VERB
fcis-6485	92	87	too	too	ADV
fcis-6485	92	88	much	much	ADV
fcis-6485	92	89	from	from	ADP
fcis-6485	92	90	the	the	DET
fcis-6485	92	91	true	true	ADJ
fcis-6485	92	92	values	value	NOUN
fcis-6485	92	93	.	.	PUNCT
fcis-6485	93	1	through	through	ADP
fcis-6485	93	2	the	the	DET
fcis-6485	93	3	experiments	experiment	NOUN
fcis-6485	93	4	,	,	PUNCT
fcis-6485	93	5	it	it	PRON
fcis-6485	93	6	is	be	AUX
fcis-6485	93	7	proved	prove	VERB
fcis-6485	93	8	that	that	SCONJ
fcis-6485	93	9	the	the	DET
fcis-6485	93	10	4	4	NUM
fcis-6485	93	11	proposed	propose	VERB
fcis-6485	93	12	defect	defect	NOUN
fcis-6485	93	13	detection	detection	NOUN
fcis-6485	93	14	method	method	NOUN
fcis-6485	93	15	is	be	AUX
fcis-6485	93	16	well	well	ADV
fcis-6485	93	17	performed	perform	VERB
fcis-6485	93	18	on	on	ADP
fcis-6485	93	19	the	the	DET
fcis-6485	93	20	fabric	fabric	NOUN
fcis-6485	93	21	defects	defect	NOUN
fcis-6485	93	22	database	database	NOUN
fcis-6485	93	23	of	of	ADP
fcis-6485	93	24	wtu	wtu	PROPN
fcis-6485	93	25	.	.	PROPN
fcis-6485	93	26	acknowledgment	acknowledgment	PROPN
fcis-6485	93	27	project	project	NOUN
fcis-6485	93	28	supported	support	VERB
fcis-6485	93	29	by	by	ADP
fcis-6485	93	30	the	the	DET
fcis-6485	93	31	natural	natural	ADJ
fcis-6485	93	32	science	science	PROPN
fcis-6485	93	33	foundation	foundation	NOUN
fcis-6485	93	34	of	of	ADP
fcis-6485	93	35	digital	digital	ADJ
fcis-6485	93	36	textile	textile	NOUN
fcis-6485	93	37	equipment	equipment	NOUN
fcis-6485	93	38	key	key	ADJ
fcis-6485	93	39	laboratory	laboratory	NOUN
fcis-6485	93	40	open	open	ADJ
fcis-6485	93	41	fund	fund	NOUN
fcis-6485	93	42	dtl2021006	dtl2021006	NOUN
fcis-6485	93	43	.	.	PUNCT
fcis-6485	94	1	references	reference	NOUN
fcis-6485	94	2	[	[	X
fcis-6485	94	3	1	1	NUM
fcis-6485	94	4	]	]	X
fcis-6485	94	5	jia	jia	PROPN
fcis-6485	94	6	,	,	PUNCT
fcis-6485	94	7	l.	l.	PROPN
fcis-6485	94	8	,	,	PUNCT
fcis-6485	94	9	et	et	PROPN
fcis-6485	94	10	al	al	PROPN
fcis-6485	94	11	.	.	PUNCT
fcis-6485	95	1	"	"	PUNCT
fcis-6485	95	2	fabric	fabric	NOUN
fcis-6485	95	3	defect	defect	NOUN
fcis-6485	95	4	inspection	inspection	NOUN
fcis-6485	95	5	based	base	VERB
fcis-6485	95	6	on	on	ADP
fcis-6485	95	7	lattice	lattice	PROPN
fcis-6485	95	8	segmentation	segmentation	PROPN
fcis-6485	95	9	and	and	CCONJ
fcis-6485	95	10	gabor	gabor	PROPN
fcis-6485	95	11	filtering	filtering	PROPN
fcis-6485	95	12	.	.	PUNCT
fcis-6485	96	1	"	"	PUNCT
fcis-6485	96	2	neurocomputing	neurocompute	VERB
fcis-6485	96	3	238.2017:84	238.2017:84	NOUN
fcis-6485	96	4	-	-	SYM
fcis-6485	96	5	102	102	NUM
fcis-6485	96	6	.	.	PUNCT
fcis-6485	97	1	[	[	X
fcis-6485	97	2	2	2	NUM
fcis-6485	97	3	]	]	PUNCT
fcis-6485	97	4	ismail	ismail	NOUN
fcis-6485	97	5	,	,	PUNCT
fcis-6485	97	6	n.	n.	PROPN
fcis-6485	97	7	,	,	PUNCT
fcis-6485	97	8	j.	j.	PROPN
fcis-6485	97	9	m.	m.	PROPN
fcis-6485	97	10	zain	zain	PROPN
fcis-6485	97	11	,	,	PUNCT
fcis-6485	97	12	and	and	CCONJ
fcis-6485	97	13	t.	t.	PROPN
fcis-6485	97	14	hai	hai	PROPN
fcis-6485	97	15	.	.	PUNCT
fcis-6485	98	1	"	"	PUNCT
fcis-6485	98	2	fabric	fabric	NOUN
fcis-6485	98	3	authenticity	authenticity	NOUN
fcis-6485	98	4	method	method	NOUN
fcis-6485	98	5	using	use	VERB
fcis-6485	98	6	fast	fast	ADJ
fcis-6485	98	7	fourier	fourier	NOUN
fcis-6485	98	8	transformation	transformation	NOUN
fcis-6485	98	9	detection	detection	NOUN
fcis-6485	98	10	.	.	PUNCT
fcis-6485	98	11	"	"	PUNCT
fcis-6485	99	1	electrical	electrical	ADJ
fcis-6485	99	2	,	,	PUNCT
fcis-6485	99	3	control	control	NOUN
fcis-6485	99	4	and	and	CCONJ
fcis-6485	99	5	computer	computer	NOUN
fcis-6485	99	6	engineering	engineering	NOUN
fcis-6485	99	7	(	(	PUNCT
fcis-6485	99	8	inecce	inecce	ADJ
fcis-6485	99	9	)	)	PUNCT
fcis-6485	99	10	,	,	PUNCT
fcis-6485	99	11	2011	2011	NUM
fcis-6485	99	12	international	international	ADJ
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fcis-6485	99	14	on	on	ADP
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fcis-6485	99	16	,	,	PUNCT
fcis-6485	99	17	2011	2011	NUM
fcis-6485	99	18	.	.	PUNCT
fcis-6485	100	1	[	[	X
fcis-6485	100	2	3	3	NUM
fcis-6485	100	3	]	]	X
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fcis-6485	100	6	f.	f.	PROPN
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fcis-6485	100	9	and	and	CCONJ
fcis-6485	100	10	z.	z.	PROPN
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fcis-6485	100	12	.	.	PUNCT
fcis-6485	101	1	"	"	PUNCT
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fcis-6485	101	4	of	of	ADP
fcis-6485	101	5	textile	textile	NOUN
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fcis-6485	101	9	models	model	NOUN
fcis-6485	101	10	.	.	PUNCT
fcis-6485	101	11	"	"	PUNCT
fcis-6485	102	1	ieee	ieee	NOUN
fcis-6485	102	2	transactions	transaction	NOUN
fcis-6485	102	3	on	on	ADP
fcis-6485	102	4	pattern	pattern	NOUN
fcis-6485	102	5	analysis	analysis	NOUN
fcis-6485	102	6	and	and	CCONJ
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fcis-6485	102	10	-	-	SYM
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fcis-6485	103	1	[	[	X
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fcis-6485	103	9	al	al	PROPN
fcis-6485	103	10	.	.	PUNCT
fcis-6485	104	1	"	"	PUNCT
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fcis-6485	104	4	fabric	fabric	NOUN
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fcis-6485	104	8	on	on	ADP
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fcis-6485	104	11	.	.	PUNCT
fcis-6485	104	12	"	"	PUNCT
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fcis-6485	104	14	of	of	ADP
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fcis-6485	104	18	fabrics	fabric	NOUN
fcis-6485	104	19	16.3(2021):1014	16.3(2021):1014	NUM
fcis-6485	104	20	-	-	SYM
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fcis-6485	105	9	,	,	PUNCT
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fcis-6485	105	11	fan	fan	PROPN
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fcis-6485	105	13	.	.	PUNCT
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fcis-6485	106	14	"	"	PUNCT
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fcis-6485	111	3	]	]	X
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fcis-6485	111	8	et	et	PROPN
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fcis-6485	111	10	.	.	PUNCT
fcis-6485	112	1	"	"	PUNCT
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fcis-6485	113	4	fibers	fiber	NOUN
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fcis-6485	113	6	fabrics	fabric	NOUN
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fcis-6485	113	8	.	.	PUNCT
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