id	sid	tid	token	lemma	pos
fcis-2483	1	1	frontiers	frontier	NOUN
fcis-2483	1	2	in	in	ADP
fcis-2483	1	3	computing	computing	NOUN
fcis-2483	1	4	and	and	CCONJ
fcis-2483	1	5	intelligent	intelligent	ADJ
fcis-2483	1	6	systems	system	NOUN
fcis-2483	1	7	issn	issn	VERB
fcis-2483	1	8	:	:	PUNCT
fcis-2483	1	9	2832	2832	NUM
fcis-2483	1	10	-	-	SYM
fcis-2483	1	11	6024	6024	NUM
fcis-2483	1	12	|	|	NOUN
fcis-2483	1	13	vol	vol	NOUN
fcis-2483	1	14	.	.	PROPN
fcis-2483	2	1	2	2	NUM
fcis-2483	2	2	,	,	PUNCT
fcis-2483	2	3	no	no	INTJ
fcis-2483	2	4	.	.	NOUN
fcis-2483	2	5	1	1	NUM
fcis-2483	2	6	,	,	PUNCT
fcis-2483	2	7	2022	2022	NUM
fcis-2483	2	8	4	4	NUM
fcis-2483	2	9	application	application	NOUN
fcis-2483	2	10	and	and	CCONJ
fcis-2483	2	11	development	development	NOUN
fcis-2483	2	12	trend	trend	NOUN
fcis-2483	2	13	of	of	ADP
fcis-2483	2	14	computer	computer	NOUN
fcis-2483	2	15	science	science	NOUN
fcis-2483	2	16	in	in	ADP
fcis-2483	2	17	face	face	NOUN
fcis-2483	2	18	completion	completion	NOUN
fcis-2483	2	19	qingguo	qingguo	PROPN
fcis-2483	2	20	chen	chen	PROPN
fcis-2483	2	21	*	*	PROPN
fcis-2483	2	22	hefei	hefei	PROPN
fcis-2483	2	23	university	university	PROPN
fcis-2483	2	24	of	of	ADP
fcis-2483	2	25	technology	technology	PROPN
fcis-2483	2	26	,	,	PUNCT
fcis-2483	2	27	hefei	hefei	PROPN
fcis-2483	2	28	anhui	anhui	PROPN
fcis-2483	2	29	230601	230601	NUM
fcis-2483	2	30	,	,	PUNCT
fcis-2483	2	31	china	china	PROPN
fcis-2483	2	32	*	*	PUNCT
fcis-2483	2	33	corresponding	correspond	VERB
fcis-2483	2	34	author	author	NOUN
fcis-2483	2	35	:	:	PUNCT
fcis-2483	2	36	email	email	NOUN
fcis-2483	2	37	:	:	PUNCT
fcis-2483	2	38	chenqingguo0808@hotmail.com	chenqingguo0808@hotmail.com	X
fcis-2483	2	39	.	.	PUNCT
fcis-2483	3	1	abstract	abstract	ADJ
fcis-2483	3	2	:	:	PUNCT
fcis-2483	3	3	in	in	ADP
fcis-2483	3	4	recent	recent	ADJ
fcis-2483	3	5	years	year	NOUN
fcis-2483	3	6	,	,	PUNCT
fcis-2483	3	7	with	with	ADP
fcis-2483	3	8	the	the	DET
fcis-2483	3	9	development	development	NOUN
fcis-2483	3	10	of	of	ADP
fcis-2483	3	11	computer	computer	NOUN
fcis-2483	3	12	vision	vision	NOUN
fcis-2483	3	13	technology	technology	NOUN
fcis-2483	3	14	and	and	CCONJ
fcis-2483	3	15	the	the	DET
fcis-2483	3	16	arrival	arrival	NOUN
fcis-2483	3	17	of	of	ADP
fcis-2483	3	18	the	the	DET
fcis-2483	3	19	covid-19	covid-19	PROPN
fcis-2483	3	20	epidemic	epidemic	NOUN
fcis-2483	3	21	in	in	ADP
fcis-2483	3	22	daily	daily	ADJ
fcis-2483	3	23	life	life	NOUN
fcis-2483	3	24	,	,	PUNCT
fcis-2483	3	25	the	the	DET
fcis-2483	3	26	demand	demand	NOUN
fcis-2483	3	27	for	for	ADP
fcis-2483	3	28	occluded	occluded	ADJ
fcis-2483	3	29	face	face	NOUN
fcis-2483	3	30	recognition	recognition	NOUN
fcis-2483	3	31	is	be	AUX
fcis-2483	3	32	increasing	increase	VERB
fcis-2483	3	33	rapidly	rapidly	ADV
fcis-2483	3	34	,	,	PUNCT
fcis-2483	3	35	and	and	CCONJ
fcis-2483	3	36	the	the	DET
fcis-2483	3	37	demand	demand	NOUN
fcis-2483	3	38	for	for	ADP
fcis-2483	3	39	face	face	NOUN
fcis-2483	3	40	completion	completion	NOUN
fcis-2483	3	41	technology	technology	NOUN
fcis-2483	3	42	in	in	ADP
fcis-2483	3	43	actual	actual	ADJ
fcis-2483	3	44	production	production	NOUN
fcis-2483	3	45	and	and	CCONJ
fcis-2483	3	46	living	living	NOUN
fcis-2483	3	47	scenes	scene	NOUN
fcis-2483	3	48	is	be	AUX
fcis-2483	3	49	growing	grow	VERB
fcis-2483	3	50	rapidly	rapidly	ADV
fcis-2483	3	51	too	too	ADV
fcis-2483	3	52	.	.	PUNCT
fcis-2483	4	1	however	however	ADV
fcis-2483	4	2	,	,	PUNCT
fcis-2483	4	3	there	there	PRON
fcis-2483	4	4	are	be	VERB
fcis-2483	4	5	still	still	ADV
fcis-2483	4	6	some	some	DET
fcis-2483	4	7	problems	problem	NOUN
fcis-2483	4	8	in	in	ADP
fcis-2483	4	9	face	face	NOUN
fcis-2483	4	10	completion	completion	NOUN
fcis-2483	4	11	technology	technology	NOUN
fcis-2483	4	12	,	,	PUNCT
fcis-2483	4	13	such	such	ADJ
fcis-2483	4	14	as	as	ADP
fcis-2483	4	15	complex	complex	ADJ
fcis-2483	4	16	procedures	procedure	NOUN
fcis-2483	4	17	,	,	PUNCT
fcis-2483	4	18	large	large	ADJ
fcis-2483	4	19	amount	amount	NOUN
fcis-2483	4	20	of	of	ADP
fcis-2483	4	21	computation	computation	NOUN
fcis-2483	4	22	,	,	PUNCT
fcis-2483	4	23	long	long	ADJ
fcis-2483	4	24	time	time	NOUN
fcis-2483	4	25	required	require	VERB
fcis-2483	4	26	,	,	PUNCT
fcis-2483	4	27	and	and	CCONJ
fcis-2483	4	28	fuzzy	fuzzy	ADJ
fcis-2483	4	29	details	detail	NOUN
fcis-2483	4	30	.	.	PUNCT
fcis-2483	5	1	therefore	therefore	ADV
fcis-2483	5	2	,	,	PUNCT
fcis-2483	5	3	this	this	DET
fcis-2483	5	4	paper	paper	NOUN
fcis-2483	5	5	reviews	review	VERB
fcis-2483	5	6	the	the	DET
fcis-2483	5	7	development	development	NOUN
fcis-2483	5	8	process	process	NOUN
fcis-2483	5	9	of	of	ADP
fcis-2483	5	10	face	face	NOUN
fcis-2483	5	11	completion	completion	NOUN
fcis-2483	5	12	technology	technology	NOUN
fcis-2483	5	13	,	,	PUNCT
fcis-2483	5	14	briefly	briefly	ADV
fcis-2483	5	15	describes	describe	VERB
fcis-2483	5	16	the	the	DET
fcis-2483	5	17	basic	basic	ADJ
fcis-2483	5	18	principle	principle	NOUN
fcis-2483	5	19	and	and	CCONJ
fcis-2483	5	20	defects	defect	NOUN
fcis-2483	5	21	of	of	ADP
fcis-2483	5	22	face	face	NOUN
fcis-2483	5	23	completion	completion	NOUN
fcis-2483	5	24	technology	technology	NOUN
fcis-2483	5	25	,	,	PUNCT
fcis-2483	5	26	and	and	CCONJ
fcis-2483	5	27	summarizes	summarize	VERB
fcis-2483	5	28	the	the	DET
fcis-2483	5	29	problems	problem	NOUN
fcis-2483	5	30	existing	exist	VERB
fcis-2483	5	31	in	in	ADP
fcis-2483	5	32	the	the	DET
fcis-2483	5	33	existing	exist	VERB
fcis-2483	5	34	computer	computer	NOUN
fcis-2483	5	35	-	-	PUNCT
fcis-2483	5	36	based	base	VERB
fcis-2483	5	37	face	face	NOUN
fcis-2483	5	38	repair	repair	NOUN
fcis-2483	5	39	technology	technology	NOUN
fcis-2483	5	40	,	,	PUNCT
fcis-2483	5	41	such	such	ADJ
fcis-2483	5	42	as	as	ADP
fcis-2483	5	43	large	large	ADJ
fcis-2483	5	44	amount	amount	NOUN
fcis-2483	5	45	of	of	ADP
fcis-2483	5	46	computation	computation	NOUN
fcis-2483	5	47	,	,	PUNCT
fcis-2483	5	48	long	long	ADJ
fcis-2483	5	49	training	training	NOUN
fcis-2483	5	50	time	time	NOUN
fcis-2483	5	51	,	,	PUNCT
fcis-2483	5	52	blurred	blurred	ADJ
fcis-2483	5	53	image	image	NOUN
fcis-2483	5	54	details	detail	NOUN
fcis-2483	5	55	,	,	PUNCT
fcis-2483	5	56	and	and	CCONJ
fcis-2483	5	57	inaccurate	inaccurate	ADJ
fcis-2483	5	58	pain	pain	NOUN
fcis-2483	5	59	points	point	NOUN
fcis-2483	5	60	in	in	ADP
fcis-2483	5	61	the	the	DET
fcis-2483	5	62	occlusion	occlusion	NOUN
fcis-2483	5	63	layer	layer	NOUN
fcis-2483	5	64	,	,	PUNCT
fcis-2483	5	65	and	and	CCONJ
fcis-2483	5	66	prospects	prospect	VERB
fcis-2483	5	67	the	the	DET
fcis-2483	5	68	future	future	ADJ
fcis-2483	5	69	development	development	NOUN
fcis-2483	5	70	.	.	PUNCT
fcis-2483	6	1	these	these	DET
fcis-2483	6	2	problems	problem	NOUN
fcis-2483	6	3	can	can	AUX
fcis-2483	6	4	be	be	AUX
fcis-2483	6	5	improved	improve	VERB
fcis-2483	6	6	by	by	ADP
fcis-2483	6	7	optimizing	optimize	VERB
fcis-2483	6	8	algorithm	algorithm	NOUN
fcis-2483	6	9	,	,	PUNCT
fcis-2483	6	10	adopting	adopt	VERB
fcis-2483	6	11	new	new	ADJ
fcis-2483	6	12	algorithm	algorithm	NOUN
fcis-2483	6	13	,	,	PUNCT
fcis-2483	6	14	adding	add	VERB
fcis-2483	6	15	new	new	ADJ
fcis-2483	6	16	network	network	NOUN
fcis-2483	6	17	and	and	CCONJ
fcis-2483	6	18	adding	add	VERB
fcis-2483	6	19	image	image	NOUN
fcis-2483	6	20	preprocessing	preprocessing	NOUN
fcis-2483	6	21	stage	stage	NOUN
fcis-2483	6	22	.	.	PUNCT
fcis-2483	7	1	keywords	keyword	NOUN
fcis-2483	7	2	:	:	PUNCT
fcis-2483	7	3	face	face	VERB
fcis-2483	7	4	completion	completion	NOUN
fcis-2483	7	5	;	;	PUNCT
fcis-2483	7	6	deep	deep	ADJ
fcis-2483	7	7	learning	learning	NOUN
fcis-2483	7	8	;	;	PUNCT
fcis-2483	7	9	generative	generative	ADJ
fcis-2483	7	10	adversarial	adversarial	ADJ
fcis-2483	7	11	networks	network	NOUN
fcis-2483	7	12	.	.	PUNCT
fcis-2483	8	1	1	1	X
fcis-2483	8	2	.	.	X
fcis-2483	8	3	introduction	introduction	NOUN
fcis-2483	8	4	with	with	ADP
fcis-2483	8	5	the	the	DET
fcis-2483	8	6	rapid	rapid	ADJ
fcis-2483	8	7	development	development	NOUN
fcis-2483	8	8	of	of	ADP
fcis-2483	8	9	computer	computer	NOUN
fcis-2483	8	10	vision	vision	NOUN
fcis-2483	8	11	technology	technology	NOUN
fcis-2483	8	12	and	and	CCONJ
fcis-2483	8	13	artificial	artificial	ADJ
fcis-2483	8	14	intelligence	intelligence	NOUN
fcis-2483	8	15	technology	technology	NOUN
fcis-2483	8	16	,	,	PUNCT
fcis-2483	8	17	face	face	NOUN
fcis-2483	8	18	recognition	recognition	NOUN
fcis-2483	8	19	technology	technology	NOUN
fcis-2483	8	20	has	have	AUX
fcis-2483	8	21	become	become	VERB
fcis-2483	8	22	mature	mature	ADJ
fcis-2483	8	23	and	and	CCONJ
fcis-2483	8	24	can	can	AUX
fcis-2483	8	25	be	be	AUX
fcis-2483	8	26	widely	widely	ADV
fcis-2483	8	27	used	use	VERB
fcis-2483	8	28	in	in	ADP
fcis-2483	8	29	daily	daily	ADJ
fcis-2483	8	30	life	life	NOUN
fcis-2483	8	31	such	such	ADJ
fcis-2483	8	32	as	as	ADP
fcis-2483	8	33	security	security	NOUN
fcis-2483	8	34	,	,	PUNCT
fcis-2483	8	35	medical	medical	ADJ
fcis-2483	8	36	care	care	NOUN
fcis-2483	8	37	,	,	PUNCT
fcis-2483	8	38	education	education	NOUN
fcis-2483	8	39	and	and	CCONJ
fcis-2483	8	40	financial	financial	ADJ
fcis-2483	8	41	transactions	transaction	NOUN
fcis-2483	8	42	.	.	PUNCT
fcis-2483	9	1	however	however	ADV
fcis-2483	9	2	,	,	PUNCT
fcis-2483	9	3	in	in	ADP
fcis-2483	9	4	practical	practical	ADJ
fcis-2483	9	5	application	application	NOUN
fcis-2483	9	6	scenarios	scenario	NOUN
fcis-2483	9	7	,	,	PUNCT
fcis-2483	9	8	it	it	PRON
fcis-2483	9	9	is	be	AUX
fcis-2483	9	10	difficult	difficult	ADJ
fcis-2483	9	11	to	to	PART
fcis-2483	9	12	obtain	obtain	VERB
fcis-2483	9	13	clear	clear	ADJ
fcis-2483	9	14	and	and	CCONJ
fcis-2483	9	15	unshielded	unshielded	ADJ
fcis-2483	9	16	face	face	NOUN
fcis-2483	10	1	images	image	NOUN
fcis-2483	11	1	due	due	ADP
fcis-2483	11	2	to	to	ADP
fcis-2483	11	3	the	the	DET
fcis-2483	11	4	influence	influence	NOUN
fcis-2483	11	5	of	of	ADP
fcis-2483	11	6	people	people	NOUN
fcis-2483	11	7	'	'	PART
fcis-2483	11	8	s	s	PART
fcis-2483	11	9	daily	daily	ADJ
fcis-2483	11	10	wear	wear	NOUN
fcis-2483	11	11	and	and	CCONJ
fcis-2483	11	12	sensor	sensor	NOUN
fcis-2483	11	13	equipment	equipment	NOUN
fcis-2483	11	14	shooting	shooting	NOUN
fcis-2483	11	15	angle	angle	NOUN
fcis-2483	11	16	.	.	PUNCT
fcis-2483	12	1	especially	especially	ADV
fcis-2483	12	2	since	since	SCONJ
fcis-2483	12	3	the	the	DET
fcis-2483	12	4	outbreak	outbreak	NOUN
fcis-2483	12	5	of	of	ADP
fcis-2483	12	6	the	the	DET
fcis-2483	12	7	covid-19	covid-19	PROPN
fcis-2483	12	8	virus	virus	NOUN
fcis-2483	12	9	,	,	PUNCT
fcis-2483	12	10	people	people	NOUN
fcis-2483	12	11	always	always	ADV
fcis-2483	12	12	tend	tend	VERB
fcis-2483	12	13	to	to	PART
fcis-2483	12	14	wear	wear	VERB
fcis-2483	12	15	masks	mask	NOUN
fcis-2483	12	16	in	in	ADP
fcis-2483	12	17	daily	daily	ADJ
fcis-2483	12	18	life	life	NOUN
fcis-2483	12	19	.	.	PUNCT
fcis-2483	13	1	nevertheless	nevertheless	ADV
fcis-2483	13	2	,	,	PUNCT
fcis-2483	13	3	during	during	ADP
fcis-2483	13	4	the	the	DET
fcis-2483	13	5	process	process	NOUN
fcis-2483	13	6	of	of	ADP
fcis-2483	13	7	face	face	NOUN
fcis-2483	13	8	recognition	recognition	NOUN
fcis-2483	13	9	,	,	PUNCT
fcis-2483	13	10	people	people	NOUN
fcis-2483	13	11	have	have	VERB
fcis-2483	13	12	to	to	PART
fcis-2483	13	13	removed	remove	VERB
fcis-2483	13	14	masks	mask	NOUN
fcis-2483	13	15	that	that	SCONJ
fcis-2483	13	16	they	they	PRON
fcis-2483	13	17	wear	wear	VERB
fcis-2483	13	18	,	,	PUNCT
fcis-2483	13	19	which	which	PRON
fcis-2483	13	20	obviously	obviously	ADV
fcis-2483	13	21	increases	increase	VERB
fcis-2483	13	22	the	the	DET
fcis-2483	13	23	risk	risk	NOUN
fcis-2483	13	24	of	of	ADP
fcis-2483	13	25	new	new	ADJ
fcis-2483	13	26	coronavirus	coronavirus	NOUN
fcis-2483	13	27	infection	infection	NOUN
fcis-2483	13	28	.	.	PUNCT
fcis-2483	14	1	therefore	therefore	ADV
fcis-2483	14	2	,	,	PUNCT
fcis-2483	14	3	face	face	VERB
fcis-2483	14	4	completion	completion	NOUN
fcis-2483	14	5	technology	technology	NOUN
fcis-2483	14	6	came	come	VERB
fcis-2483	14	7	into	into	ADP
fcis-2483	14	8	being	being	NOUN
fcis-2483	14	9	.	.	PUNCT
fcis-2483	15	1	the	the	DET
fcis-2483	15	2	application	application	NOUN
fcis-2483	15	3	of	of	ADP
fcis-2483	15	4	face	face	NOUN
fcis-2483	15	5	restoration	restoration	NOUN
fcis-2483	15	6	technology	technology	NOUN
fcis-2483	15	7	to	to	PART
fcis-2483	15	8	restore	restore	VERB
fcis-2483	15	9	the	the	DET
fcis-2483	15	10	face	face	NOUN
fcis-2483	15	11	for	for	ADP
fcis-2483	15	12	computer	computer	NOUN
fcis-2483	15	13	recognition	recognition	NOUN
fcis-2483	15	14	will	will	AUX
fcis-2483	15	15	greatly	greatly	ADV
fcis-2483	15	16	improve	improve	VERB
fcis-2483	15	17	the	the	DET
fcis-2483	15	18	recognition	recognition	NOUN
fcis-2483	15	19	rate	rate	NOUN
fcis-2483	15	20	and	and	CCONJ
fcis-2483	15	21	robustness	robustness	NOUN
fcis-2483	15	22	.	.	PUNCT
fcis-2483	16	1	at	at	ADP
fcis-2483	16	2	the	the	DET
fcis-2483	16	3	same	same	ADJ
fcis-2483	16	4	time	time	NOUN
fcis-2483	16	5	,	,	PUNCT
fcis-2483	16	6	since	since	SCONJ
fcis-2483	16	7	the	the	DET
fcis-2483	16	8	recognition	recognition	NOUN
fcis-2483	16	9	object	object	NOUN
fcis-2483	16	10	does	do	AUX
fcis-2483	16	11	not	not	PART
fcis-2483	16	12	need	need	VERB
fcis-2483	16	13	to	to	PART
fcis-2483	16	14	remove	remove	VERB
fcis-2483	16	15	the	the	DET
fcis-2483	16	16	mask	mask	NOUN
fcis-2483	16	17	,	,	PUNCT
fcis-2483	16	18	it	it	PRON
fcis-2483	16	19	will	will	AUX
fcis-2483	16	20	greatly	greatly	ADV
fcis-2483	16	21	reduce	reduce	VERB
fcis-2483	16	22	the	the	DET
fcis-2483	16	23	risk	risk	NOUN
fcis-2483	16	24	of	of	ADP
fcis-2483	16	25	people	people	NOUN
fcis-2483	16	26	being	be	AUX
fcis-2483	16	27	infected	infect	VERB
fcis-2483	16	28	by	by	ADP
fcis-2483	16	29	virus	virus	NOUN
fcis-2483	16	30	.	.	PUNCT
fcis-2483	17	1	2	2	X
fcis-2483	17	2	.	.	X
fcis-2483	17	3	development	development	NOUN
fcis-2483	17	4	of	of	ADP
fcis-2483	17	5	face	face	NOUN
fcis-2483	17	6	completion	completion	NOUN
fcis-2483	17	7	technology	technology	NOUN
fcis-2483	17	8	with	with	ADP
fcis-2483	17	9	the	the	DET
fcis-2483	17	10	development	development	NOUN
fcis-2483	17	11	of	of	ADP
fcis-2483	17	12	computer	computer	NOUN
fcis-2483	17	13	vision	vision	NOUN
fcis-2483	17	14	technology	technology	NOUN
fcis-2483	17	15	,	,	PUNCT
fcis-2483	17	16	face	face	NOUN
fcis-2483	17	17	recognition	recognition	NOUN
fcis-2483	17	18	technology	technology	NOUN
fcis-2483	17	19	has	have	AUX
fcis-2483	17	20	been	be	AUX
fcis-2483	17	21	widely	widely	ADV
fcis-2483	17	22	used	use	VERB
fcis-2483	17	23	in	in	ADP
fcis-2483	17	24	various	various	ADJ
fcis-2483	17	25	occasions	occasion	NOUN
fcis-2483	17	26	in	in	ADP
fcis-2483	17	27	daily	daily	ADJ
fcis-2483	17	28	life	life	NOUN
fcis-2483	17	29	.	.	PUNCT
fcis-2483	18	1	however	however	ADV
fcis-2483	18	2	,	,	PUNCT
fcis-2483	18	3	in	in	ADP
fcis-2483	18	4	the	the	DET
fcis-2483	18	5	practical	practical	ADJ
fcis-2483	18	6	application	application	NOUN
fcis-2483	18	7	process	process	NOUN
fcis-2483	18	8	,	,	PUNCT
fcis-2483	18	9	it	it	PRON
fcis-2483	18	10	is	be	AUX
fcis-2483	18	11	often	often	ADV
fcis-2483	18	12	difficult	difficult	ADJ
fcis-2483	18	13	to	to	PART
fcis-2483	18	14	obtain	obtain	VERB
fcis-2483	18	15	clear	clear	ADJ
fcis-2483	18	16	and	and	CCONJ
fcis-2483	18	17	unshielded	unshielded	ADJ
fcis-2483	18	18	face	face	NOUN
fcis-2483	18	19	images	image	NOUN
fcis-2483	18	20	.	.	PUNCT
fcis-2483	19	1	therefore	therefore	ADV
fcis-2483	19	2	,	,	PUNCT
fcis-2483	19	3	by	by	ADP
fcis-2483	19	4	restoring	restore	VERB
fcis-2483	19	5	the	the	DET
fcis-2483	19	6	incomplete	incomplete	ADJ
fcis-2483	19	7	face	face	NOUN
fcis-2483	19	8	image	image	NOUN
fcis-2483	19	9	to	to	ADP
fcis-2483	19	10	a	a	DET
fcis-2483	19	11	complete	complete	ADJ
fcis-2483	19	12	and	and	CCONJ
fcis-2483	19	13	clear	clear	ADJ
fcis-2483	19	14	face	face	NOUN
fcis-2483	19	15	image	image	NOUN
fcis-2483	19	16	for	for	ADP
fcis-2483	19	17	computer	computer	NOUN
fcis-2483	19	18	recognition	recognition	NOUN
fcis-2483	19	19	,	,	PUNCT
fcis-2483	19	20	the	the	DET
fcis-2483	19	21	recognition	recognition	NOUN
fcis-2483	19	22	rate	rate	NOUN
fcis-2483	19	23	and	and	CCONJ
fcis-2483	19	24	robustness	robustness	NOUN
fcis-2483	19	25	will	will	AUX
fcis-2483	19	26	be	be	AUX
fcis-2483	19	27	improved	improve	VERB
fcis-2483	19	28	,	,	PUNCT
fcis-2483	19	29	and	and	CCONJ
fcis-2483	19	30	it	it	PRON
fcis-2483	19	31	has	have	VERB
fcis-2483	19	32	a	a	DET
fcis-2483	19	33	high	high	ADJ
fcis-2483	19	34	application	application	NOUN
fcis-2483	19	35	prospect	prospect	NOUN
fcis-2483	19	36	.	.	PUNCT
fcis-2483	20	1	the	the	DET
fcis-2483	20	2	emergence	emergence	NOUN
fcis-2483	20	3	of	of	ADP
fcis-2483	20	4	deep	deep	ADJ
fcis-2483	20	5	learning	learning	NOUN
fcis-2483	20	6	technology	technology	NOUN
fcis-2483	20	7	has	have	AUX
fcis-2483	20	8	greatly	greatly	ADV
fcis-2483	20	9	improved	improve	VERB
fcis-2483	20	10	the	the	DET
fcis-2483	20	11	accuracy	accuracy	NOUN
fcis-2483	20	12	and	and	CCONJ
fcis-2483	20	13	speed	speed	NOUN
fcis-2483	20	14	of	of	ADP
fcis-2483	20	15	face	face	NOUN
fcis-2483	20	16	image	image	NOUN
fcis-2483	20	17	restoration	restoration	NOUN
fcis-2483	20	18	.	.	PUNCT
fcis-2483	21	1	therefore	therefore	ADV
fcis-2483	21	2	,	,	PUNCT
fcis-2483	21	3	this	this	DET
fcis-2483	21	4	paper	paper	NOUN
fcis-2483	21	5	takes	take	VERB
fcis-2483	21	6	the	the	DET
fcis-2483	21	7	emergence	emergence	NOUN
fcis-2483	21	8	of	of	ADP
fcis-2483	21	9	deep	deep	ADJ
fcis-2483	21	10	learning	learning	NOUN
fcis-2483	21	11	technology	technology	NOUN
fcis-2483	21	12	as	as	ADP
fcis-2483	21	13	a	a	DET
fcis-2483	21	14	vital	vital	ADJ
fcis-2483	21	15	symbol	symbol	NOUN
fcis-2483	21	16	of	of	ADP
fcis-2483	21	17	the	the	DET
fcis-2483	21	18	development	development	NOUN
fcis-2483	21	19	process	process	NOUN
fcis-2483	21	20	of	of	ADP
fcis-2483	21	21	face	face	NOUN
fcis-2483	21	22	repair	repair	NOUN
fcis-2483	21	23	technology	technology	NOUN
fcis-2483	21	24	.	.	PUNCT
fcis-2483	22	1	2.1	2.1	NUM
fcis-2483	22	2	.	.	PUNCT
fcis-2483	23	1	previous	previous	ADJ
fcis-2483	23	2	deep	deep	ADJ
fcis-2483	23	3	learning	learning	NOUN
fcis-2483	23	4	period	period	NOUN
fcis-2483	23	5	in	in	ADP
fcis-2483	23	6	the	the	DET
fcis-2483	23	7	early	early	ADJ
fcis-2483	23	8	21st	21st	ADJ
fcis-2483	23	9	century	century	NOUN
fcis-2483	23	10	,	,	PUNCT
fcis-2483	23	11	deep	deep	ADJ
fcis-2483	23	12	learning	learning	NOUN
fcis-2483	23	13	technology	technology	NOUN
fcis-2483	23	14	has	have	AUX
fcis-2483	23	15	not	not	PART
fcis-2483	23	16	yet	yet	ADV
fcis-2483	23	17	appeared	appear	VERB
fcis-2483	23	18	.	.	PUNCT
fcis-2483	24	1	at	at	ADP
fcis-2483	24	2	this	this	DET
fcis-2483	24	3	time	time	NOUN
fcis-2483	24	4	,	,	PUNCT
fcis-2483	24	5	the	the	DET
fcis-2483	24	6	main	main	ADJ
fcis-2483	24	7	research	research	NOUN
fcis-2483	24	8	direction	direction	NOUN
fcis-2483	24	9	of	of	ADP
fcis-2483	24	10	academia	academia	NOUN
fcis-2483	24	11	is	be	AUX
fcis-2483	24	12	the	the	DET
fcis-2483	24	13	subspace	subspace	NOUN
fcis-2483	24	14	regression	regression	NOUN
fcis-2483	24	15	method	method	NOUN
fcis-2483	24	16	.	.	PUNCT
fcis-2483	25	1	by	by	ADP
fcis-2483	25	2	extracting	extract	VERB
fcis-2483	25	3	the	the	DET
fcis-2483	25	4	feature	feature	NOUN
fcis-2483	25	5	vector	vector	NOUN
fcis-2483	25	6	of	of	ADP
fcis-2483	25	7	face	face	NOUN
fcis-2483	25	8	image	image	NOUN
fcis-2483	25	9	to	to	ADP
fcis-2483	25	10	high	high	ADJ
fcis-2483	25	11	-	-	PUNCT
fcis-2483	25	12	dimensional	dimensional	ADJ
fcis-2483	25	13	space	space	NOUN
fcis-2483	25	14	,	,	PUNCT
fcis-2483	25	15	the	the	DET
fcis-2483	25	16	vector	vector	NOUN
fcis-2483	25	17	is	be	AUX
fcis-2483	25	18	segmented	segment	VERB
fcis-2483	25	19	in	in	ADP
fcis-2483	25	20	high	high	ADJ
fcis-2483	25	21	-	-	PUNCT
fcis-2483	25	22	dimensional	dimensional	ADJ
fcis-2483	25	23	space	space	NOUN
fcis-2483	25	24	,	,	PUNCT
fcis-2483	25	25	and	and	CCONJ
fcis-2483	25	26	then	then	ADV
fcis-2483	25	27	repaired	repair	VERB
fcis-2483	25	28	and	and	CCONJ
fcis-2483	25	29	recognized	recognize	VERB
fcis-2483	25	30	.	.	PUNCT
fcis-2483	26	1	this	this	DET
fcis-2483	26	2	method	method	NOUN
fcis-2483	26	3	has	have	AUX
fcis-2483	26	4	achieved	achieve	VERB
fcis-2483	26	5	great	great	ADJ
fcis-2483	26	6	success	success	NOUN
fcis-2483	26	7	at	at	ADP
fcis-2483	26	8	first	first	ADV
fcis-2483	26	9	,	,	PUNCT
fcis-2483	26	10	and	and	CCONJ
fcis-2483	26	11	has	have	VERB
fcis-2483	26	12	a	a	DET
fcis-2483	26	13	high	high	ADJ
fcis-2483	26	14	success	success	NOUN
fcis-2483	26	15	rate	rate	NOUN
fcis-2483	26	16	for	for	ADP
fcis-2483	26	17	small	small	ADJ
fcis-2483	26	18	area	area	NOUN
fcis-2483	26	19	occlusion	occlusion	NOUN
fcis-2483	26	20	and	and	CCONJ
fcis-2483	26	21	fouling	fouling	NOUN
fcis-2483	26	22	.	.	PUNCT
fcis-2483	27	1	when	when	SCONJ
fcis-2483	27	2	the	the	DET
fcis-2483	27	3	sample	sample	NOUN
fcis-2483	27	4	size	size	NOUN
fcis-2483	27	5	is	be	AUX
fcis-2483	27	6	sufficient	sufficient	ADJ
fcis-2483	27	7	and	and	CCONJ
fcis-2483	27	8	the	the	DET
fcis-2483	27	9	time	time	NOUN
fcis-2483	27	10	is	be	AUX
fcis-2483	27	11	long	long	ADJ
fcis-2483	27	12	,	,	PUNCT
fcis-2483	27	13	the	the	DET
fcis-2483	27	14	recognition	recognition	NOUN
fcis-2483	27	15	rate	rate	NOUN
fcis-2483	27	16	can	can	AUX
fcis-2483	27	17	reach	reach	VERB
fcis-2483	27	18	nearly	nearly	ADV
fcis-2483	27	19	100	100	NUM
fcis-2483	27	20	%	%	NOUN
fcis-2483	27	21	.	.	PUNCT
fcis-2483	28	1	however	however	ADV
fcis-2483	28	2	,	,	PUNCT
fcis-2483	28	3	when	when	SCONJ
fcis-2483	28	4	face	face	NOUN
fcis-2483	28	5	images	image	NOUN
fcis-2483	28	6	are	be	AUX
fcis-2483	28	7	occluded	occlude	VERB
fcis-2483	28	8	in	in	ADP
fcis-2483	28	9	large	large	ADJ
fcis-2483	28	10	areas	area	NOUN
fcis-2483	28	11	,	,	PUNCT
fcis-2483	28	12	the	the	DET
fcis-2483	28	13	recognition	recognition	NOUN
fcis-2483	28	14	rate	rate	NOUN
fcis-2483	28	15	will	will	AUX
fcis-2483	28	16	be	be	AUX
fcis-2483	28	17	greatly	greatly	ADV
fcis-2483	28	18	reduced	reduce	VERB
fcis-2483	28	19	.	.	PUNCT
fcis-2483	29	1	in	in	ADP
fcis-2483	29	2	the	the	DET
fcis-2483	29	3	exploration	exploration	NOUN
fcis-2483	29	4	of	of	ADP
fcis-2483	29	5	the	the	DET
fcis-2483	29	6	previous	previous	ADJ
fcis-2483	29	7	deep	deep	ADJ
fcis-2483	29	8	learning	learning	NOUN
fcis-2483	29	9	period	period	NOUN
fcis-2483	29	10	,	,	PUNCT
fcis-2483	29	11	although	although	SCONJ
fcis-2483	29	12	the	the	DET
fcis-2483	29	13	number	number	NOUN
fcis-2483	29	14	of	of	ADP
fcis-2483	29	15	programs	program	NOUN
fcis-2483	29	16	that	that	PRON
fcis-2483	29	17	can	can	AUX
fcis-2483	29	18	be	be	AUX
fcis-2483	29	19	applied	apply	VERB
fcis-2483	29	20	in	in	ADP
fcis-2483	29	21	practice	practice	NOUN
fcis-2483	29	22	is	be	AUX
fcis-2483	29	23	small	small	ADJ
fcis-2483	29	24	,	,	PUNCT
fcis-2483	29	25	it	it	PRON
fcis-2483	29	26	provides	provide	VERB
fcis-2483	29	27	key	key	ADJ
fcis-2483	29	28	ideas	idea	NOUN
fcis-2483	29	29	such	such	ADJ
fcis-2483	29	30	as	as	ADP
fcis-2483	29	31	extracting	extract	VERB
fcis-2483	29	32	feature	feature	NOUN
fcis-2483	29	33	vectors	vector	NOUN
fcis-2483	29	34	for	for	ADP
fcis-2483	29	35	the	the	DET
fcis-2483	29	36	face	face	NOUN
fcis-2483	29	37	restoration	restoration	NOUN
fcis-2483	29	38	technology	technology	NOUN
fcis-2483	29	39	based	base	VERB
fcis-2483	29	40	on	on	ADP
fcis-2483	29	41	deep	deep	ADJ
fcis-2483	29	42	learning	learning	NOUN
fcis-2483	29	43	.	.	PUNCT
fcis-2483	30	1	2.2	2.2	NUM
fcis-2483	30	2	.	.	PUNCT
fcis-2483	31	1	deep	deep	ADJ
fcis-2483	31	2	learning	learning	NOUN
fcis-2483	31	3	period	period	NOUN
fcis-2483	31	4	after	after	ADP
fcis-2483	31	5	2010	2010	NUM
fcis-2483	31	6	,	,	PUNCT
fcis-2483	31	7	with	with	ADP
fcis-2483	31	8	the	the	DET
fcis-2483	31	9	blowout	blowout	NOUN
fcis-2483	31	10	of	of	ADP
fcis-2483	31	11	deep	deep	ADJ
fcis-2483	31	12	learning	learning	NOUN
fcis-2483	31	13	technology	technology	NOUN
fcis-2483	31	14	,	,	PUNCT
fcis-2483	31	15	especially	especially	ADV
fcis-2483	31	16	the	the	DET
fcis-2483	31	17	vigorous	vigorous	ADJ
fcis-2483	31	18	development	development	NOUN
fcis-2483	31	19	of	of	ADP
fcis-2483	31	20	neural	neural	ADJ
fcis-2483	31	21	network	network	NOUN
fcis-2483	31	22	system	system	NOUN
fcis-2483	31	23	,	,	PUNCT
fcis-2483	31	24	scientists	scientist	NOUN
fcis-2483	31	25	have	have	AUX
fcis-2483	31	26	seen	see	VERB
fcis-2483	31	27	the	the	DET
fcis-2483	31	28	prospect	prospect	NOUN
fcis-2483	31	29	of	of	ADP
fcis-2483	31	30	applying	apply	VERB
fcis-2483	31	31	deep	deep	ADJ
fcis-2483	31	32	learning	learning	NOUN
fcis-2483	31	33	technology	technology	NOUN
fcis-2483	31	34	to	to	PART
fcis-2483	31	35	face	face	VERB
fcis-2483	31	36	completion	completion	NOUN
fcis-2483	31	37	.	.	PUNCT
fcis-2483	32	1	subsequently	subsequently	ADV
fcis-2483	32	2	,	,	PUNCT
fcis-2483	32	3	the	the	DET
fcis-2483	32	4	exploration	exploration	NOUN
fcis-2483	32	5	of	of	ADP
fcis-2483	32	6	face	face	NOUN
fcis-2483	32	7	image	image	NOUN
fcis-2483	32	8	restoration	restoration	NOUN
fcis-2483	32	9	using	use	VERB
fcis-2483	32	10	generative	generative	ADJ
fcis-2483	32	11	adversarial	adversarial	ADJ
fcis-2483	32	12	network	network	NOUN
fcis-2483	32	13	,	,	PUNCT
fcis-2483	32	14	facenet	facenet	NOUN
fcis-2483	32	15	and	and	CCONJ
fcis-2483	32	16	other	other	ADJ
fcis-2483	32	17	technologies	technology	NOUN
fcis-2483	32	18	has	have	AUX
fcis-2483	32	19	emerged	emerge	VERB
fcis-2483	32	20	.	.	PUNCT
fcis-2483	33	1	deep	deep	ADJ
fcis-2483	33	2	learning	learn	VERB
fcis-2483	33	3	technology	technology	NOUN
fcis-2483	33	4	for	for	ADP
fcis-2483	33	5	face	face	NOUN
fcis-2483	33	6	completion	completion	NOUN
fcis-2483	33	7	has	have	VERB
fcis-2483	33	8	the	the	DET
fcis-2483	33	9	advantages	advantage	NOUN
fcis-2483	33	10	of	of	ADP
fcis-2483	33	11	high	high	ADJ
fcis-2483	33	12	recognition	recognition	NOUN
fcis-2483	33	13	rate	rate	NOUN
fcis-2483	33	14	and	and	CCONJ
fcis-2483	33	15	accurate	accurate	ADJ
fcis-2483	33	16	repair	repair	NOUN
fcis-2483	33	17	.	.	PUNCT
fcis-2483	34	1	combined	combine	VERB
fcis-2483	34	2	with	with	ADP
fcis-2483	34	3	convolutional	convolutional	ADJ
fcis-2483	34	4	neural	neural	ADJ
fcis-2483	34	5	network	network	NOUN
fcis-2483	34	6	,	,	PUNCT
fcis-2483	34	7	it	it	PRON
fcis-2483	34	8	can	can	AUX
fcis-2483	34	9	effectively	effectively	ADV
fcis-2483	34	10	identify	identify	VERB
fcis-2483	34	11	face	face	NOUN
fcis-2483	34	12	photos	photo	NOUN
fcis-2483	34	13	with	with	ADP
fcis-2483	34	14	occlusion	occlusion	NOUN
fcis-2483	34	15	.	.	PUNCT
fcis-2483	35	1	for	for	ADP
fcis-2483	35	2	example	example	NOUN
fcis-2483	35	3	,	,	PUNCT
fcis-2483	35	4	for	for	ADP
fcis-2483	35	5	face	face	NOUN
fcis-2483	35	6	recognition	recognition	NOUN
fcis-2483	35	7	of	of	ADP
fcis-2483	35	8	people	people	NOUN
fcis-2483	35	9	wearing	wear	VERB
fcis-2483	35	10	masks	mask	NOUN
fcis-2483	35	11	,	,	PUNCT
fcis-2483	35	12	occlusion	occlusion	NOUN
fcis-2483	35	13	face	face	NOUN
fcis-2483	35	14	images	image	NOUN
fcis-2483	35	15	can	can	AUX
fcis-2483	35	16	be	be	AUX
fcis-2483	35	17	repaired	repair	VERB
fcis-2483	35	18	by	by	ADP
fcis-2483	35	19	generative	generative	ADJ
fcis-2483	35	20	adversarial	adversarial	ADJ
fcis-2483	35	21	networks	network	NOUN
fcis-2483	35	22	,	,	PUNCT
fcis-2483	35	23	and	and	CCONJ
fcis-2483	35	24	then	then	ADV
fcis-2483	35	25	the	the	DET
fcis-2483	35	26	repaired	repair	VERB
fcis-2483	35	27	images	image	NOUN
fcis-2483	35	28	can	can	AUX
fcis-2483	35	29	be	be	AUX
fcis-2483	35	30	output	output	NOUN
fcis-2483	35	31	to	to	ADP
fcis-2483	35	32	convolutional	convolutional	ADJ
fcis-2483	35	33	neural	neural	ADJ
fcis-2483	35	34	network	network	NOUN
fcis-2483	35	35	for	for	ADP
fcis-2483	35	36	recognition	recognition	NOUN
fcis-2483	35	37	.	.	PUNCT
fcis-2483	36	1	3	3	X
fcis-2483	36	2	.	.	X
fcis-2483	36	3	basic	basic	ADJ
fcis-2483	36	4	principle	principle	NOUN
fcis-2483	36	5	of	of	ADP
fcis-2483	36	6	face	face	NOUN
fcis-2483	36	7	completion	completion	NOUN
fcis-2483	36	8	technology	technology	NOUN
fcis-2483	36	9	at	at	ADP
fcis-2483	36	10	present	present	ADJ
fcis-2483	36	11	,	,	PUNCT
fcis-2483	36	12	the	the	DET
fcis-2483	36	13	mainstream	mainstream	NOUN
fcis-2483	36	14	computer	computer	NOUN
fcis-2483	36	15	repair	repair	NOUN
fcis-2483	36	16	technologies	technology	NOUN
fcis-2483	36	17	for	for	ADP
fcis-2483	36	18	face	face	NOUN
fcis-2483	36	19	images	image	NOUN
fcis-2483	36	20	are	be	AUX
fcis-2483	36	21	generative	generative	ADJ
fcis-2483	36	22	confrontation	confrontation	NOUN
fcis-2483	36	23	network	network	NOUN
fcis-2483	36	24	(	(	PUNCT
fcis-2483	36	25	gan	gan	PROPN
fcis-2483	36	26	)	)	PUNCT
fcis-2483	36	27	and	and	CCONJ
fcis-2483	36	28	context	context	NOUN
fcis-2483	36	29	encoder	encoder	NOUN
fcis-2483	36	30	(	(	PUNCT
fcis-2483	36	31	ca	ca	NOUN
fcis-2483	36	32	)	)	PUNCT
fcis-2483	36	33	.	.	PUNCT
fcis-2483	37	1	among	among	ADP
fcis-2483	37	2	them	they	PRON
fcis-2483	37	3	,	,	PUNCT
fcis-2483	37	4	after	after	ADP
fcis-2483	37	5	iterative	iterative	NOUN
fcis-2483	37	6	training	training	NOUN
fcis-2483	37	7	of	of	ADP
fcis-2483	37	8	a	a	DET
fcis-2483	37	9	large	large	ADJ
fcis-2483	37	10	number	number	NOUN
fcis-2483	37	11	of	of	ADP
fcis-2483	37	12	training	training	NOUN
fcis-2483	37	13	sets	set	NOUN
fcis-2483	37	14	,	,	PUNCT
fcis-2483	37	15	the	the	DET
fcis-2483	37	16	generative	generative	ADJ
fcis-2483	37	17	confrontation	confrontation	NOUN
fcis-2483	37	18	network	network	NOUN
fcis-2483	37	19	has	have	VERB
fcis-2483	37	20	high	high	ADJ
fcis-2483	37	21	repair	repair	NOUN
fcis-2483	37	22	rate	rate	NOUN
fcis-2483	37	23	and	and	CCONJ
fcis-2483	37	24	repair	repair	NOUN
fcis-2483	37	25	accuracy	accuracy	NOUN
fcis-2483	37	26	,	,	PUNCT
fcis-2483	37	27	5	5	NUM
fcis-2483	37	28	which	which	PRON
fcis-2483	37	29	is	be	AUX
fcis-2483	37	30	the	the	DET
fcis-2483	37	31	most	most	ADV
fcis-2483	37	32	popular	popular	ADJ
fcis-2483	37	33	research	research	NOUN
fcis-2483	37	34	direction	direction	NOUN
fcis-2483	37	35	at	at	ADP
fcis-2483	37	36	present	present	ADJ
fcis-2483	37	37	.	.	PUNCT
fcis-2483	38	1	3.1	3.1	NUM
fcis-2483	38	2	.	.	PUNCT
fcis-2483	38	3	context	context	NOUN
fcis-2483	38	4	encoder	encoder	NOUN
fcis-2483	38	5	context	context	NOUN
fcis-2483	38	6	encoder	encoder	NOUN
fcis-2483	38	7	is	be	AUX
fcis-2483	38	8	composed	compose	VERB
fcis-2483	38	9	of	of	ADP
fcis-2483	38	10	encoder	encoder	NOUN
fcis-2483	38	11	and	and	CCONJ
fcis-2483	38	12	decoder	decoder	NOUN
fcis-2483	38	13	,	,	PUNCT
fcis-2483	38	14	similar	similar	ADJ
fcis-2483	38	15	to	to	PART
fcis-2483	38	16	generative	generative	VERB
fcis-2483	38	17	adversarial	adversarial	ADJ
fcis-2483	38	18	network	network	NOUN
fcis-2483	38	19	.	.	PUNCT
fcis-2483	39	1	the	the	DET
fcis-2483	39	2	difference	difference	NOUN
fcis-2483	39	3	is	be	AUX
fcis-2483	39	4	that	that	SCONJ
fcis-2483	39	5	the	the	DET
fcis-2483	39	6	decoder	decoder	NOUN
fcis-2483	39	7	is	be	AUX
fcis-2483	39	8	a	a	DET
fcis-2483	39	9	deconvolution	deconvolution	NOUN
fcis-2483	39	10	network	network	NOUN
fcis-2483	39	11	.	.	PUNCT
fcis-2483	40	1	the	the	DET
fcis-2483	40	2	incomplete	incomplete	ADJ
fcis-2483	40	3	face	face	NOUN
fcis-2483	40	4	image	image	NOUN
fcis-2483	40	5	is	be	AUX
fcis-2483	40	6	input	input	VERB
fcis-2483	40	7	into	into	ADP
fcis-2483	40	8	the	the	DET
fcis-2483	40	9	encoder	encoder	NOUN
fcis-2483	40	10	,	,	PUNCT
fcis-2483	40	11	convolution	convolution	VERB
fcis-2483	40	12	it	it	PRON
fcis-2483	40	13	,	,	PUNCT
fcis-2483	40	14	and	and	CCONJ
fcis-2483	40	15	then	then	ADV
fcis-2483	40	16	the	the	DET
fcis-2483	40	17	obtained	obtain	VERB
fcis-2483	40	18	data	data	NOUN
fcis-2483	40	19	is	be	AUX
fcis-2483	40	20	input	input	VERB
fcis-2483	40	21	into	into	ADP
fcis-2483	40	22	the	the	DET
fcis-2483	40	23	decoder	decoder	NOUN
fcis-2483	40	24	.	.	PUNCT
fcis-2483	41	1	the	the	DET
fcis-2483	41	2	decoder	decoder	NOUN
fcis-2483	41	3	outputs	output	VERB
fcis-2483	41	4	the	the	DET
fcis-2483	41	5	reconstructed	reconstructed	ADJ
fcis-2483	41	6	image	image	NOUN
fcis-2483	41	7	by	by	ADP
fcis-2483	41	8	transpose	transpose	ADJ
fcis-2483	41	9	convolution	convolution	NOUN
fcis-2483	41	10	.	.	PUNCT
fcis-2483	42	1	3.2	3.2	NUM
fcis-2483	42	2	.	.	PUNCT
fcis-2483	42	3	generative	generative	ADJ
fcis-2483	42	4	confrontation	confrontation	NOUN
fcis-2483	42	5	network	network	NOUN
fcis-2483	42	6	the	the	DET
fcis-2483	42	7	generative	generative	ADJ
fcis-2483	42	8	confrontation	confrontation	NOUN
fcis-2483	42	9	network	network	NOUN
fcis-2483	42	10	is	be	AUX
fcis-2483	42	11	proposed	propose	VERB
fcis-2483	42	12	by	by	ADP
fcis-2483	42	13	ian	ian	PROPN
fcis-2483	42	14	goodfellow	goodfellow	PROPN
fcis-2483	42	15	and	and	CCONJ
fcis-2483	42	16	yoshua	yoshua	PROPN
fcis-2483	42	17	bengio	bengio	PROPN
fcis-2483	42	18	in	in	ADP
fcis-2483	42	19	2014	2014	NUM
fcis-2483	42	20	by	by	ADP
fcis-2483	42	21	two	two	NUM
fcis-2483	42	22	neural	neural	ADJ
fcis-2483	42	23	networks	network	NOUN
fcis-2483	42	24	.	.	PUNCT
fcis-2483	43	1	one	one	NUM
fcis-2483	43	2	neural	neural	ADJ
fcis-2483	43	3	network	network	NOUN
fcis-2483	43	4	repairs	repair	VERB
fcis-2483	43	5	the	the	DET
fcis-2483	43	6	face	face	NOUN
fcis-2483	43	7	image	image	NOUN
fcis-2483	43	8	based	base	VERB
fcis-2483	43	9	on	on	ADP
fcis-2483	43	10	the	the	DET
fcis-2483	43	11	incomplete	incomplete	ADJ
fcis-2483	43	12	image	image	NOUN
fcis-2483	43	13	,	,	PUNCT
fcis-2483	43	14	and	and	CCONJ
fcis-2483	43	15	the	the	DET
fcis-2483	43	16	other	other	ADJ
fcis-2483	43	17	neural	neural	ADJ
fcis-2483	43	18	network	network	NOUN
fcis-2483	43	19	judges	judge	VERB
fcis-2483	43	20	the	the	DET
fcis-2483	43	21	accuracy	accuracy	NOUN
fcis-2483	43	22	of	of	ADP
fcis-2483	43	23	the	the	DET
fcis-2483	43	24	repaired	repair	VERB
fcis-2483	43	25	image	image	NOUN
fcis-2483	43	26	.	.	PUNCT
fcis-2483	44	1	3.2.1	3.2.1	NUM
fcis-2483	44	2	.	.	PUNCT
fcis-2483	44	3	basic	basic	ADJ
fcis-2483	44	4	structure	structure	NOUN
fcis-2483	44	5	of	of	ADP
fcis-2483	44	6	generative	generative	ADJ
fcis-2483	44	7	adversarial	adversarial	ADJ
fcis-2483	44	8	networks	network	NOUN
fcis-2483	44	9	the	the	DET
fcis-2483	44	10	generative	generative	ADJ
fcis-2483	44	11	confrontation	confrontation	NOUN
fcis-2483	44	12	network	network	NOUN
fcis-2483	44	13	is	be	AUX
fcis-2483	44	14	composed	compose	VERB
fcis-2483	44	15	of	of	ADP
fcis-2483	44	16	two	two	NUM
fcis-2483	44	17	neural	neural	ADJ
fcis-2483	44	18	networks	network	NOUN
fcis-2483	44	19	,	,	PUNCT
fcis-2483	44	20	namely	namely	ADV
fcis-2483	44	21	,	,	PUNCT
fcis-2483	44	22	the	the	DET
fcis-2483	44	23	generative	generative	ADJ
fcis-2483	44	24	network	network	NOUN
fcis-2483	44	25	and	and	CCONJ
fcis-2483	44	26	the	the	DET
fcis-2483	44	27	discriminant	discriminant	ADJ
fcis-2483	44	28	network	network	NOUN
fcis-2483	44	29	.	.	PUNCT
fcis-2483	45	1	generate	generate	VERB
fcis-2483	45	2	the	the	DET
fcis-2483	45	3	network	network	NOUN
fcis-2483	45	4	to	to	PART
fcis-2483	45	5	accept	accept	VERB
fcis-2483	45	6	the	the	DET
fcis-2483	45	7	incomplete	incomplete	ADJ
fcis-2483	45	8	face	face	NOUN
fcis-2483	45	9	image	image	NOUN
fcis-2483	45	10	as	as	ADP
fcis-2483	45	11	input	input	NOUN
fcis-2483	45	12	,	,	PUNCT
fcis-2483	45	13	according	accord	VERB
fcis-2483	45	14	to	to	ADP
fcis-2483	45	15	the	the	DET
fcis-2483	45	16	characteristics	characteristic	NOUN
fcis-2483	45	17	of	of	ADP
fcis-2483	45	18	the	the	DET
fcis-2483	45	19	input	input	NOUN
fcis-2483	45	20	face	face	NOUN
fcis-2483	45	21	image	image	NOUN
fcis-2483	45	22	,	,	PUNCT
fcis-2483	45	23	output	output	VERB
fcis-2483	45	24	the	the	DET
fcis-2483	45	25	repaired	repair	VERB
fcis-2483	45	26	face	face	NOUN
fcis-2483	45	27	image	image	NOUN
fcis-2483	45	28	.	.	PUNCT
fcis-2483	46	1	the	the	DET
fcis-2483	46	2	repaired	repair	VERB
fcis-2483	46	3	face	face	NOUN
fcis-2483	46	4	image	image	NOUN
fcis-2483	46	5	is	be	AUX
fcis-2483	46	6	input	input	VERB
fcis-2483	46	7	into	into	ADP
fcis-2483	46	8	the	the	DET
fcis-2483	46	9	discriminant	discriminant	NOUN
fcis-2483	46	10	network	network	NOUN
fcis-2483	46	11	,	,	PUNCT
fcis-2483	46	12	and	and	CCONJ
fcis-2483	46	13	the	the	DET
fcis-2483	46	14	discriminant	discriminant	ADJ
fcis-2483	46	15	network	network	NOUN
fcis-2483	46	16	also	also	ADV
fcis-2483	46	17	gives	give	VERB
fcis-2483	46	18	the	the	DET
fcis-2483	46	19	probability	probability	NOUN
fcis-2483	46	20	that	that	SCONJ
fcis-2483	46	21	the	the	DET
fcis-2483	46	22	image	image	NOUN
fcis-2483	46	23	is	be	AUX
fcis-2483	46	24	generated	generate	VERB
fcis-2483	46	25	from	from	ADP
fcis-2483	46	26	the	the	DET
fcis-2483	46	27	real	real	ADJ
fcis-2483	46	28	sample	sample	NOUN
fcis-2483	46	29	set	set	VERB
fcis-2483	46	30	rather	rather	ADV
fcis-2483	46	31	than	than	ADP
fcis-2483	46	32	the	the	DET
fcis-2483	46	33	generated	generate	VERB
fcis-2483	46	34	network	network	NOUN
fcis-2483	46	35	according	accord	VERB
fcis-2483	46	36	to	to	ADP
fcis-2483	46	37	the	the	DET
fcis-2483	46	38	characteristics	characteristic	NOUN
fcis-2483	46	39	of	of	ADP
fcis-2483	46	40	the	the	DET
fcis-2483	46	41	face	face	NOUN
fcis-2483	46	42	image	image	NOUN
fcis-2483	46	43	.	.	PUNCT
fcis-2483	47	1	if	if	SCONJ
fcis-2483	47	2	the	the	DET
fcis-2483	47	3	generated	generate	VERB
fcis-2483	47	4	network	network	NOUN
fcis-2483	47	5	is	be	AUX
fcis-2483	47	6	good	good	ADJ
fcis-2483	47	7	enough	enough	ADV
fcis-2483	47	8	,	,	PUNCT
fcis-2483	47	9	the	the	DET
fcis-2483	47	10	discriminant	discriminant	ADJ
fcis-2483	47	11	network	network	NOUN
fcis-2483	47	12	can	can	AUX
fcis-2483	47	13	not	not	PART
fcis-2483	47	14	judge	judge	VERB
fcis-2483	47	15	whether	whether	SCONJ
fcis-2483	47	16	the	the	DET
fcis-2483	47	17	input	input	NOUN
fcis-2483	47	18	image	image	NOUN
fcis-2483	47	19	comes	come	VERB
fcis-2483	47	20	from	from	ADP
fcis-2483	47	21	the	the	DET
fcis-2483	47	22	real	real	ADJ
fcis-2483	47	23	sample	sample	NOUN
fcis-2483	47	24	set	set	VERB
fcis-2483	47	25	or	or	CCONJ
fcis-2483	47	26	the	the	DET
fcis-2483	47	27	generated	generate	VERB
fcis-2483	47	28	network	network	NOUN
fcis-2483	47	29	,	,	PUNCT
fcis-2483	47	30	and	and	CCONJ
fcis-2483	47	31	the	the	DET
fcis-2483	47	32	probability	probability	NOUN
fcis-2483	47	33	of	of	ADP
fcis-2483	47	34	output	output	NOUN
fcis-2483	47	35	is	be	AUX
fcis-2483	47	36	0.5	0.5	NUM
fcis-2483	47	37	.	.	PUNCT
fcis-2483	48	1	at	at	ADP
fcis-2483	48	2	this	this	DET
fcis-2483	48	3	time	time	NOUN
fcis-2483	48	4	,	,	PUNCT
fcis-2483	48	5	this	this	DET
fcis-2483	48	6	generative	generative	ADJ
fcis-2483	48	7	confrontation	confrontation	NOUN
fcis-2483	48	8	network	network	NOUN
fcis-2483	48	9	can	can	AUX
fcis-2483	48	10	meet	meet	VERB
fcis-2483	48	11	the	the	DET
fcis-2483	48	12	technical	technical	ADJ
fcis-2483	48	13	requirements	requirement	NOUN
fcis-2483	48	14	of	of	ADP
fcis-2483	48	15	face	face	NOUN
fcis-2483	48	16	image	image	NOUN
fcis-2483	48	17	restoration	restoration	NOUN
fcis-2483	48	18	technology	technology	NOUN
fcis-2483	48	19	.	.	PUNCT
fcis-2483	49	1	3.2.2	3.2.2	X
fcis-2483	49	2	.	.	PUNCT
fcis-2483	49	3	training	training	NOUN
fcis-2483	49	4	process	process	NOUN
fcis-2483	49	5	of	of	ADP
fcis-2483	49	6	generative	generative	ADJ
fcis-2483	49	7	confrontation	confrontation	NOUN
fcis-2483	49	8	network	network	NOUN
fcis-2483	49	9	the	the	DET
fcis-2483	49	10	training	training	NOUN
fcis-2483	49	11	process	process	NOUN
fcis-2483	49	12	of	of	ADP
fcis-2483	49	13	generative	generative	ADJ
fcis-2483	49	14	adversarial	adversarial	ADJ
fcis-2483	49	15	network	network	NOUN
fcis-2483	49	16	is	be	AUX
fcis-2483	49	17	mainly	mainly	ADV
fcis-2483	49	18	to	to	PART
fcis-2483	49	19	train	train	VERB
fcis-2483	49	20	the	the	DET
fcis-2483	49	21	two	two	NUM
fcis-2483	49	22	networks	network	NOUN
fcis-2483	49	23	in	in	ADP
fcis-2483	49	24	an	an	DET
fcis-2483	49	25	adversarial	adversarial	ADJ
fcis-2483	49	26	way	way	NOUN
fcis-2483	49	27	,	,	PUNCT
fcis-2483	49	28	so	so	SCONJ
fcis-2483	49	29	as	as	SCONJ
fcis-2483	49	30	to	to	PART
fcis-2483	49	31	continuously	continuously	ADV
fcis-2483	49	32	optimize	optimize	VERB
fcis-2483	49	33	the	the	DET
fcis-2483	49	34	two	two	NUM
fcis-2483	49	35	networks	network	NOUN
fcis-2483	49	36	and	and	CCONJ
fcis-2483	49	37	achieve	achieve	VERB
fcis-2483	49	38	the	the	DET
fcis-2483	49	39	effect	effect	NOUN
fcis-2483	49	40	of	of	ADP
fcis-2483	49	41	the	the	DET
fcis-2483	49	42	optimal	optimal	ADJ
fcis-2483	49	43	model	model	NOUN
fcis-2483	49	44	.	.	PUNCT
fcis-2483	50	1	the	the	DET
fcis-2483	50	2	incomplete	incomplete	ADJ
fcis-2483	50	3	face	face	NOUN
fcis-2483	50	4	image	image	NOUN
fcis-2483	50	5	is	be	AUX
fcis-2483	50	6	input	input	VERB
fcis-2483	50	7	into	into	ADP
fcis-2483	50	8	the	the	DET
fcis-2483	50	9	generation	generation	NOUN
fcis-2483	50	10	network	network	NOUN
fcis-2483	50	11	.	.	PUNCT
fcis-2483	51	1	the	the	DET
fcis-2483	51	2	generation	generation	NOUN
fcis-2483	51	3	network	network	NOUN
fcis-2483	51	4	locates	locate	VERB
fcis-2483	51	5	the	the	DET
fcis-2483	51	6	incomplete	incomplete	ADJ
fcis-2483	51	7	area	area	NOUN
fcis-2483	51	8	by	by	ADP
fcis-2483	51	9	function	function	NOUN
fcis-2483	51	10	operation	operation	NOUN
fcis-2483	51	11	.	.	PUNCT
fcis-2483	52	1	in	in	ADP
fcis-2483	52	2	the	the	DET
fcis-2483	52	3	training	training	NOUN
fcis-2483	52	4	of	of	ADP
fcis-2483	52	5	a	a	DET
fcis-2483	52	6	large	large	ADJ
fcis-2483	52	7	number	number	NOUN
fcis-2483	52	8	of	of	ADP
fcis-2483	52	9	training	training	NOUN
fcis-2483	52	10	sets	set	NOUN
fcis-2483	52	11	,	,	PUNCT
fcis-2483	52	12	the	the	DET
fcis-2483	52	13	accuracy	accuracy	NOUN
fcis-2483	52	14	of	of	ADP
fcis-2483	52	15	positioning	positioning	NOUN
fcis-2483	52	16	is	be	AUX
fcis-2483	52	17	continuously	continuously	ADV
fcis-2483	52	18	improved	improve	VERB
fcis-2483	52	19	by	by	ADP
fcis-2483	52	20	alternating	alternate	VERB
fcis-2483	52	21	optimization	optimization	NOUN
fcis-2483	52	22	technology	technology	NOUN
fcis-2483	52	23	.	.	PUNCT
fcis-2483	53	1	after	after	ADP
fcis-2483	53	2	locating	locate	VERB
fcis-2483	53	3	the	the	DET
fcis-2483	53	4	defect	defect	NOUN
fcis-2483	53	5	area	area	NOUN
fcis-2483	53	6	,	,	PUNCT
fcis-2483	53	7	the	the	DET
fcis-2483	53	8	corresponding	corresponding	ADJ
fcis-2483	53	9	complete	complete	ADJ
fcis-2483	53	10	area	area	NOUN
fcis-2483	53	11	will	will	AUX
fcis-2483	53	12	be	be	AUX
fcis-2483	53	13	generated	generate	VERB
fcis-2483	53	14	and	and	CCONJ
fcis-2483	53	15	fused	fuse	VERB
fcis-2483	53	16	with	with	ADP
fcis-2483	53	17	the	the	DET
fcis-2483	53	18	original	original	ADJ
fcis-2483	53	19	defect	defect	NOUN
fcis-2483	53	20	area	area	NOUN
fcis-2483	53	21	to	to	PART
fcis-2483	53	22	generate	generate	VERB
fcis-2483	53	23	the	the	DET
fcis-2483	53	24	repaired	repair	VERB
fcis-2483	53	25	image	image	NOUN
fcis-2483	53	26	and	and	CCONJ
fcis-2483	53	27	input	input	NOUN
fcis-2483	53	28	to	to	ADP
fcis-2483	53	29	the	the	DET
fcis-2483	53	30	discriminant	discriminant	ADJ
fcis-2483	53	31	network	network	NOUN
fcis-2483	53	32	[	[	X
fcis-2483	53	33	3,4	3,4	NUM
fcis-2483	53	34	]	]	PUNCT
fcis-2483	53	35	.	.	PUNCT
fcis-2483	54	1	after	after	ADP
fcis-2483	54	2	judging	judge	VERB
fcis-2483	54	3	the	the	DET
fcis-2483	54	4	network	network	NOUN
fcis-2483	54	5	received	receive	VERB
fcis-2483	54	6	input	input	NOUN
fcis-2483	54	7	,	,	PUNCT
fcis-2483	54	8	it	it	PRON
fcis-2483	54	9	will	will	AUX
fcis-2483	54	10	be	be	AUX
fcis-2483	54	11	compared	compare	VERB
fcis-2483	54	12	with	with	ADP
fcis-2483	54	13	the	the	DET
fcis-2483	54	14	image	image	NOUN
fcis-2483	54	15	of	of	ADP
fcis-2483	54	16	the	the	DET
fcis-2483	54	17	sample	sample	NOUN
fcis-2483	54	18	set	set	NOUN
fcis-2483	54	19	,	,	PUNCT
fcis-2483	54	20	and	and	CCONJ
fcis-2483	54	21	the	the	DET
fcis-2483	54	22	probability	probability	NOUN
fcis-2483	54	23	of	of	ADP
fcis-2483	54	24	the	the	DET
fcis-2483	54	25	image	image	NOUN
fcis-2483	54	26	from	from	ADP
fcis-2483	54	27	the	the	DET
fcis-2483	54	28	real	real	ADJ
fcis-2483	54	29	sample	sample	NOUN
fcis-2483	54	30	set	set	NOUN
fcis-2483	54	31	is	be	AUX
fcis-2483	54	32	given	give	VERB
fcis-2483	54	33	.	.	PUNCT
fcis-2483	55	1	after	after	ADP
fcis-2483	55	2	multiple	multiple	ADJ
fcis-2483	55	3	iterations	iteration	NOUN
fcis-2483	55	4	,	,	PUNCT
fcis-2483	55	5	the	the	DET
fcis-2483	55	6	texture	texture	ADJ
fcis-2483	55	7	details	detail	NOUN
fcis-2483	55	8	of	of	ADP
fcis-2483	55	9	the	the	DET
fcis-2483	55	10	output	output	NOUN
fcis-2483	55	11	image	image	NOUN
fcis-2483	55	12	will	will	AUX
fcis-2483	55	13	become	become	VERB
fcis-2483	55	14	richer	rich	ADJ
fcis-2483	55	15	and	and	CCONJ
fcis-2483	55	16	richer	rich	ADJ
fcis-2483	55	17	,	,	PUNCT
fcis-2483	55	18	close	close	ADJ
fcis-2483	55	19	to	to	ADP
fcis-2483	55	20	the	the	DET
fcis-2483	55	21	real	real	ADJ
fcis-2483	55	22	image	image	NOUN
fcis-2483	55	23	.	.	PUNCT
fcis-2483	56	1	4	4	X
fcis-2483	56	2	.	.	X
fcis-2483	56	3	short	short	PROPN
fcis-2483	56	4	board	board	PROPN
fcis-2483	56	5	and	and	CCONJ
fcis-2483	56	6	development	development	NOUN
fcis-2483	56	7	trend	trend	NOUN
fcis-2483	56	8	of	of	ADP
fcis-2483	56	9	face	face	NOUN
fcis-2483	56	10	completion	completion	NOUN
fcis-2483	56	11	technology	technology	NOUN
fcis-2483	56	12	at	at	ADP
fcis-2483	56	13	present	present	ADJ
fcis-2483	56	14	,	,	PUNCT
fcis-2483	56	15	the	the	DET
fcis-2483	56	16	face	face	NOUN
fcis-2483	56	17	repair	repair	NOUN
fcis-2483	56	18	technology	technology	NOUN
fcis-2483	56	19	based	base	VERB
fcis-2483	56	20	on	on	ADP
fcis-2483	56	21	generative	generative	ADJ
fcis-2483	56	22	adversarial	adversarial	ADJ
fcis-2483	56	23	network	network	NOUN
fcis-2483	56	24	has	have	VERB
fcis-2483	56	25	the	the	DET
fcis-2483	56	26	advantages	advantage	NOUN
fcis-2483	56	27	of	of	ADP
fcis-2483	56	28	high	high	ADJ
fcis-2483	56	29	repair	repair	NOUN
fcis-2483	56	30	rate	rate	NOUN
fcis-2483	56	31	and	and	CCONJ
fcis-2483	56	32	high	high	ADJ
fcis-2483	56	33	repair	repair	NOUN
fcis-2483	56	34	accuracy	accuracy	NOUN
fcis-2483	56	35	,	,	PUNCT
fcis-2483	56	36	and	and	CCONJ
fcis-2483	56	37	there	there	PRON
fcis-2483	56	38	are	be	VERB
fcis-2483	56	39	many	many	ADJ
fcis-2483	56	40	related	relate	VERB
fcis-2483	56	41	trained	train	VERB
fcis-2483	56	42	models	model	NOUN
fcis-2483	56	43	published	publish	VERB
fcis-2483	56	44	.	.	PUNCT
fcis-2483	57	1	the	the	DET
fcis-2483	57	2	context	context	NOUN
fcis-2483	57	3	encoder	encoder	NOUN
fcis-2483	57	4	is	be	AUX
fcis-2483	57	5	very	very	ADV
fcis-2483	57	6	similar	similar	ADJ
fcis-2483	57	7	to	to	ADP
fcis-2483	57	8	the	the	DET
fcis-2483	57	9	generative	generative	ADJ
fcis-2483	57	10	adversarial	adversarial	ADJ
fcis-2483	57	11	network	network	NOUN
fcis-2483	57	12	in	in	ADP
fcis-2483	57	13	principle	principle	NOUN
fcis-2483	57	14	and	and	CCONJ
fcis-2483	57	15	structure	structure	NOUN
fcis-2483	57	16	.	.	PUNCT
fcis-2483	58	1	therefore	therefore	ADV
fcis-2483	58	2	,	,	PUNCT
fcis-2483	58	3	both	both	DET
fcis-2483	58	4	shortcomings	shortcoming	NOUN
fcis-2483	58	5	are	be	AUX
fcis-2483	58	6	common	common	ADJ
fcis-2483	58	7	.	.	PUNCT
fcis-2483	59	1	face	face	NOUN
fcis-2483	59	2	restoration	restoration	NOUN
fcis-2483	59	3	technology	technology	NOUN
fcis-2483	59	4	based	base	VERB
fcis-2483	59	5	on	on	ADP
fcis-2483	59	6	generative	generative	ADJ
fcis-2483	59	7	adversarial	adversarial	ADJ
fcis-2483	59	8	network	network	NOUN
fcis-2483	59	9	still	still	ADV
fcis-2483	59	10	has	have	VERB
fcis-2483	59	11	some	some	DET
fcis-2483	59	12	defects	defect	NOUN
fcis-2483	59	13	to	to	PART
fcis-2483	59	14	be	be	AUX
fcis-2483	59	15	improved	improve	VERB
fcis-2483	59	16	.	.	PUNCT
fcis-2483	60	1	next	next	ADV
fcis-2483	60	2	,	,	PUNCT
fcis-2483	60	3	the	the	DET
fcis-2483	60	4	shortcomings	shortcoming	NOUN
fcis-2483	60	5	of	of	ADP
fcis-2483	60	6	face	face	NOUN
fcis-2483	60	7	restoration	restoration	NOUN
fcis-2483	60	8	technology	technology	NOUN
fcis-2483	60	9	based	base	VERB
fcis-2483	60	10	on	on	ADP
fcis-2483	60	11	generative	generative	ADJ
fcis-2483	60	12	adversarial	adversarial	ADJ
fcis-2483	60	13	network	network	NOUN
fcis-2483	60	14	are	be	AUX
fcis-2483	60	15	briefly	briefly	ADV
fcis-2483	60	16	described	describe	VERB
fcis-2483	60	17	.	.	PUNCT
fcis-2483	61	1	4.1	4.1	NUM
fcis-2483	61	2	.	.	PUNCT
fcis-2483	61	3	heavy	heavy	ADJ
fcis-2483	61	4	computation	computation	NOUN
fcis-2483	61	5	because	because	SCONJ
fcis-2483	61	6	the	the	DET
fcis-2483	61	7	repair	repair	NOUN
fcis-2483	61	8	process	process	NOUN
fcis-2483	61	9	and	and	CCONJ
fcis-2483	61	10	training	training	NOUN
fcis-2483	61	11	process	process	NOUN
fcis-2483	61	12	of	of	ADP
fcis-2483	61	13	the	the	DET
fcis-2483	61	14	generative	generative	ADJ
fcis-2483	61	15	adversarial	adversarial	ADJ
fcis-2483	61	16	network	network	NOUN
fcis-2483	61	17	are	be	AUX
fcis-2483	61	18	related	relate	VERB
fcis-2483	61	19	to	to	ADP
fcis-2483	61	20	the	the	DET
fcis-2483	61	21	convolution	convolution	NOUN
fcis-2483	61	22	operation	operation	NOUN
fcis-2483	61	23	of	of	ADP
fcis-2483	61	24	the	the	DET
fcis-2483	61	25	two	two	NUM
fcis-2483	61	26	sets	set	NOUN
fcis-2483	61	27	of	of	ADP
fcis-2483	61	28	neural	neural	ADJ
fcis-2483	61	29	networks	network	NOUN
fcis-2483	61	30	,	,	PUNCT
fcis-2483	61	31	the	the	DET
fcis-2483	61	32	requirements	requirement	NOUN
fcis-2483	61	33	for	for	ADP
fcis-2483	61	34	computer	computer	NOUN
fcis-2483	61	35	performance	performance	NOUN
fcis-2483	61	36	are	be	AUX
fcis-2483	61	37	relatively	relatively	ADV
fcis-2483	61	38	high	high	ADJ
fcis-2483	61	39	.	.	PUNCT
fcis-2483	62	1	therefore	therefore	ADV
fcis-2483	62	2	,	,	PUNCT
fcis-2483	62	3	the	the	DET
fcis-2483	62	4	hardware	hardware	NOUN
fcis-2483	62	5	requirements	requirement	NOUN
fcis-2483	62	6	for	for	ADP
fcis-2483	62	7	running	run	VERB
fcis-2483	62	8	the	the	DET
fcis-2483	62	9	generative	generative	ADJ
fcis-2483	62	10	adversarial	adversarial	ADJ
fcis-2483	62	11	network	network	NOUN
fcis-2483	62	12	are	be	AUX
fcis-2483	62	13	high	high	ADJ
fcis-2483	62	14	,	,	PUNCT
fcis-2483	62	15	which	which	PRON
fcis-2483	62	16	makes	make	VERB
fcis-2483	62	17	the	the	DET
fcis-2483	62	18	training	training	NOUN
fcis-2483	62	19	and	and	CCONJ
fcis-2483	62	20	use	use	NOUN
fcis-2483	62	21	of	of	ADP
fcis-2483	62	22	a	a	DET
fcis-2483	62	23	set	set	NOUN
fcis-2483	62	24	of	of	ADP
fcis-2483	62	25	available	available	ADJ
fcis-2483	62	26	generative	generative	ADJ
fcis-2483	62	27	adversarial	adversarial	ADJ
fcis-2483	62	28	network	network	NOUN
fcis-2483	62	29	for	for	ADP
fcis-2483	62	30	repairing	repair	VERB
fcis-2483	62	31	face	face	NOUN
fcis-2483	62	32	photos	photo	NOUN
fcis-2483	62	33	expensive	expensive	ADJ
fcis-2483	62	34	and	and	CCONJ
fcis-2483	62	35	not	not	PART
fcis-2483	62	36	conducive	conducive	ADJ
fcis-2483	62	37	to	to	ADP
fcis-2483	62	38	wide	wide	ADJ
fcis-2483	62	39	use	use	NOUN
fcis-2483	62	40	.	.	PUNCT
fcis-2483	63	1	4.2	4.2	NUM
fcis-2483	63	2	.	.	PUNCT
fcis-2483	64	1	long	long	ADJ
fcis-2483	64	2	training	training	NOUN
fcis-2483	64	3	time	time	NOUN
fcis-2483	64	4	since	since	SCONJ
fcis-2483	64	5	the	the	DET
fcis-2483	64	6	neural	neural	ADJ
fcis-2483	64	7	network	network	NOUN
fcis-2483	64	8	needs	need	VERB
fcis-2483	64	9	a	a	DET
fcis-2483	64	10	large	large	ADJ
fcis-2483	64	11	number	number	NOUN
fcis-2483	64	12	of	of	ADP
fcis-2483	64	13	data	datum	NOUN
fcis-2483	64	14	for	for	ADP
fcis-2483	64	15	training	training	NOUN
fcis-2483	64	16	,	,	PUNCT
fcis-2483	64	17	the	the	DET
fcis-2483	64	18	generative	generative	ADJ
fcis-2483	64	19	adversarial	adversarial	ADJ
fcis-2483	64	20	network	network	NOUN
fcis-2483	64	21	also	also	ADV
fcis-2483	64	22	needs	need	VERB
fcis-2483	64	23	a	a	DET
fcis-2483	64	24	large	large	ADJ
fcis-2483	64	25	number	number	NOUN
fcis-2483	64	26	of	of	ADP
fcis-2483	64	27	samples	sample	NOUN
fcis-2483	64	28	sets	set	NOUN
fcis-2483	64	29	for	for	ADP
fcis-2483	64	30	training	training	NOUN
fcis-2483	64	31	,	,	PUNCT
fcis-2483	64	32	such	such	ADJ
fcis-2483	64	33	as	as	SCONJ
fcis-2483	64	34	the	the	DET
fcis-2483	64	35	data	datum	NOUN
fcis-2483	64	36	set	set	VERB
fcis-2483	64	37	containing	contain	VERB
fcis-2483	64	38	one	one	NUM
fcis-2483	64	39	thousand	thousand	NUM
fcis-2483	64	40	and	and	CCONJ
fcis-2483	64	41	more	more	ADJ
fcis-2483	64	42	pictures	picture	NOUN
fcis-2483	64	43	.	.	PUNCT
fcis-2483	65	1	if	if	SCONJ
fcis-2483	65	2	the	the	DET
fcis-2483	65	3	training	training	NOUN
fcis-2483	65	4	sample	sample	NOUN
fcis-2483	65	5	is	be	AUX
fcis-2483	65	6	less	less	ADJ
fcis-2483	65	7	and	and	CCONJ
fcis-2483	65	8	the	the	DET
fcis-2483	65	9	training	training	NOUN
fcis-2483	65	10	iteration	iteration	NOUN
fcis-2483	65	11	time	time	NOUN
fcis-2483	65	12	is	be	AUX
fcis-2483	65	13	less	less	ADJ
fcis-2483	65	14	,	,	PUNCT
fcis-2483	65	15	the	the	DET
fcis-2483	65	16	accuracy	accuracy	NOUN
fcis-2483	65	17	of	of	ADP
fcis-2483	65	18	the	the	DET
fcis-2483	65	19	repaired	repair	VERB
fcis-2483	65	20	image	image	NOUN
fcis-2483	65	21	will	will	AUX
fcis-2483	65	22	decrease	decrease	VERB
fcis-2483	65	23	sharply	sharply	ADV
fcis-2483	65	24	.	.	PUNCT
fcis-2483	66	1	4.3	4.3	NUM
fcis-2483	66	2	.	.	PUNCT
fcis-2483	66	3	image	image	NOUN
fcis-2483	66	4	details	detail	NOUN
fcis-2483	66	5	blurred	blur	VERB
fcis-2483	66	6	when	when	SCONJ
fcis-2483	66	7	the	the	DET
fcis-2483	66	8	generative	generative	ADJ
fcis-2483	66	9	adversarial	adversarial	ADJ
fcis-2483	66	10	network	network	NOUN
fcis-2483	66	11	outputs	output	NOUN
fcis-2483	66	12	images	image	NOUN
fcis-2483	66	13	,	,	PUNCT
fcis-2483	66	14	due	due	ADP
fcis-2483	66	15	to	to	ADP
fcis-2483	66	16	the	the	DET
fcis-2483	66	17	lack	lack	NOUN
fcis-2483	66	18	of	of	ADP
fcis-2483	66	19	sufficient	sufficient	ADJ
fcis-2483	66	20	information	information	NOUN
fcis-2483	66	21	,	,	PUNCT
fcis-2483	66	22	the	the	DET
fcis-2483	66	23	restoration	restoration	NOUN
fcis-2483	66	24	of	of	ADP
fcis-2483	66	25	the	the	DET
fcis-2483	66	26	occluded	occluded	ADJ
fcis-2483	66	27	part	part	NOUN
fcis-2483	66	28	still	still	ADV
fcis-2483	66	29	has	have	VERB
fcis-2483	66	30	the	the	DET
fcis-2483	66	31	problems	problem	NOUN
fcis-2483	66	32	of	of	ADP
fcis-2483	66	33	fuzzy	fuzzy	ADJ
fcis-2483	66	34	details	detail	NOUN
fcis-2483	66	35	and	and	CCONJ
fcis-2483	66	36	distortion	distortion	NOUN
fcis-2483	66	37	to	to	ADP
fcis-2483	66	38	a	a	DET
fcis-2483	66	39	certain	certain	ADJ
fcis-2483	66	40	extent	extent	NOUN
fcis-2483	66	41	with	with	ADP
fcis-2483	66	42	the	the	DET
fcis-2483	66	43	original	original	ADJ
fcis-2483	66	44	image	image	NOUN
fcis-2483	66	45	.	.	PUNCT
fcis-2483	67	1	although	although	SCONJ
fcis-2483	67	2	the	the	DET
fcis-2483	67	3	output	output	NOUN
fcis-2483	67	4	image	image	NOUN
fcis-2483	67	5	quality	quality	NOUN
fcis-2483	67	6	is	be	AUX
fcis-2483	67	7	enough	enough	ADJ
fcis-2483	67	8	to	to	PART
fcis-2483	67	9	discriminate	discriminate	VERB
fcis-2483	67	10	the	the	DET
fcis-2483	67	11	network	network	NOUN
fcis-2483	67	12	for	for	ADP
fcis-2483	67	13	face	face	NOUN
fcis-2483	67	14	recognition	recognition	NOUN
fcis-2483	67	15	,	,	PUNCT
fcis-2483	67	16	there	there	PRON
fcis-2483	67	17	are	be	VERB
fcis-2483	67	18	still	still	ADV
fcis-2483	67	19	some	some	DET
fcis-2483	67	20	differences	difference	NOUN
fcis-2483	67	21	with	with	ADP
fcis-2483	67	22	the	the	DET
fcis-2483	67	23	actual	actual	ADJ
fcis-2483	67	24	image	image	NOUN
fcis-2483	67	25	.	.	PUNCT
fcis-2483	68	1	4.4	4.4	NUM
fcis-2483	68	2	.	.	PUNCT
fcis-2483	69	1	positioning	positioning	NOUN
fcis-2483	69	2	occlusion	occlusion	NOUN
fcis-2483	69	3	layer	layer	NOUN
fcis-2483	69	4	not	not	PART
fcis-2483	69	5	accurate	accurate	ADJ
fcis-2483	69	6	there	there	PRON
fcis-2483	69	7	is	be	VERB
fcis-2483	69	8	a	a	DET
fcis-2483	69	9	problem	problem	NOUN
fcis-2483	69	10	of	of	ADP
fcis-2483	69	11	inaccurate	inaccurate	ADJ
fcis-2483	69	12	positioning	positioning	NOUN
fcis-2483	69	13	of	of	ADP
fcis-2483	69	14	mask	mask	NOUN
fcis-2483	69	15	layer	layer	NOUN
fcis-2483	69	16	in	in	ADP
fcis-2483	69	17	face	face	NOUN
fcis-2483	69	18	image	image	NOUN
fcis-2483	69	19	processing	processing	NOUN
fcis-2483	69	20	by	by	ADP
fcis-2483	69	21	generating	generate	VERB
fcis-2483	69	22	network	network	NOUN
fcis-2483	69	23	.	.	PUNCT
fcis-2483	70	1	this	this	PRON
fcis-2483	70	2	increases	increase	VERB
fcis-2483	70	3	the	the	DET
fcis-2483	70	4	difficulty	difficulty	NOUN
fcis-2483	70	5	of	of	ADP
fcis-2483	70	6	generating	generate	VERB
fcis-2483	70	7	network	network	NOUN
fcis-2483	70	8	to	to	PART
fcis-2483	70	9	restore	restore	VERB
fcis-2483	70	10	face	face	NOUN
fcis-2483	70	11	images	image	NOUN
fcis-2483	70	12	,	,	PUNCT
fcis-2483	70	13	which	which	PRON
fcis-2483	70	14	is	be	AUX
fcis-2483	70	15	easy	easy	ADJ
fcis-2483	70	16	to	to	PART
fcis-2483	70	17	cause	cause	VERB
fcis-2483	70	18	image	image	NOUN
fcis-2483	70	19	restoration	restoration	NOUN
fcis-2483	70	20	distortion	distortion	NOUN
fcis-2483	70	21	and	and	CCONJ
fcis-2483	70	22	fuzzy	fuzzy	ADJ
fcis-2483	70	23	details	detail	NOUN
fcis-2483	70	24	.	.	PUNCT
fcis-2483	71	1	at	at	ADP
fcis-2483	71	2	the	the	DET
fcis-2483	71	3	same	same	ADJ
fcis-2483	71	4	time	time	NOUN
fcis-2483	71	5	,	,	PUNCT
fcis-2483	71	6	it	it	PRON
fcis-2483	71	7	also	also	ADV
fcis-2483	71	8	increases	increase	VERB
fcis-2483	71	9	the	the	DET
fcis-2483	71	10	amount	amount	NOUN
fcis-2483	71	11	of	of	ADP
fcis-2483	71	12	training	training	NOUN
fcis-2483	71	13	required	require	VERB
fcis-2483	71	14	for	for	ADP
fcis-2483	71	15	generative	generative	ADJ
fcis-2483	71	16	confrontation	confrontation	NOUN
fcis-2483	71	17	network	network	NOUN
fcis-2483	71	18	and	and	CCONJ
fcis-2483	71	19	increases	increase	VERB
fcis-2483	71	20	the	the	DET
fcis-2483	71	21	time	time	NOUN
fcis-2483	71	22	required	require	VERB
fcis-2483	71	23	for	for	ADP
fcis-2483	71	24	training	training	NOUN
fcis-2483	71	25	.	.	PUNCT
fcis-2483	72	1	4.5	4.5	NUM
fcis-2483	72	2	.	.	PUNCT
fcis-2483	73	1	development	development	NOUN
fcis-2483	73	2	trend	trend	NOUN
fcis-2483	73	3	of	of	ADP
fcis-2483	73	4	face	face	NOUN
fcis-2483	73	5	completion	completion	NOUN
fcis-2483	73	6	in	in	ADP
fcis-2483	73	7	view	view	NOUN
fcis-2483	73	8	of	of	ADP
fcis-2483	73	9	the	the	DET
fcis-2483	73	10	above	above	ADJ
fcis-2483	73	11	shortcomings	shortcoming	NOUN
fcis-2483	73	12	,	,	PUNCT
fcis-2483	73	13	scientists	scientist	NOUN
fcis-2483	73	14	are	be	AUX
fcis-2483	73	15	starting	start	VERB
fcis-2483	73	16	to	to	PART
fcis-2483	73	17	improve	improve	VERB
fcis-2483	73	18	the	the	DET
fcis-2483	73	19	generative	generative	ADJ
fcis-2483	73	20	adversarial	adversarial	ADJ
fcis-2483	73	21	network	network	NOUN
fcis-2483	73	22	,	,	PUNCT
fcis-2483	73	23	and	and	CCONJ
fcis-2483	73	24	there	there	PRON
fcis-2483	73	25	are	be	VERB
fcis-2483	73	26	many	many	ADJ
fcis-2483	73	27	development	development	NOUN
fcis-2483	73	28	trends	trend	NOUN
fcis-2483	73	29	.	.	PUNCT
fcis-2483	74	1	update	update	VERB
fcis-2483	74	2	the	the	DET
fcis-2483	74	3	algorithm	algorithm	NOUN
fcis-2483	74	4	and	and	CCONJ
fcis-2483	74	5	optimize	optimize	VERB
fcis-2483	74	6	the	the	DET
fcis-2483	74	7	computation	computation	NOUN
fcis-2483	74	8	.	.	PUNCT
fcis-2483	75	1	by	by	ADP
fcis-2483	75	2	optimizing	optimize	VERB
fcis-2483	75	3	the	the	DET
fcis-2483	75	4	algorithm	algorithm	NOUN
fcis-2483	75	5	and	and	CCONJ
fcis-2483	75	6	iterative	iterative	NOUN
fcis-2483	75	7	function	function	NOUN
fcis-2483	75	8	used	use	VERB
fcis-2483	75	9	,	,	PUNCT
fcis-2483	75	10	the	the	DET
fcis-2483	75	11	computation	computation	NOUN
fcis-2483	75	12	required	require	VERB
fcis-2483	75	13	by	by	ADP
fcis-2483	75	14	the	the	DET
fcis-2483	75	15	neural	neural	ADJ
fcis-2483	75	16	network	network	NOUN
fcis-2483	75	17	is	be	AUX
fcis-2483	75	18	reduced	reduce	VERB
fcis-2483	75	19	,	,	PUNCT
fcis-2483	75	20	the	the	DET
fcis-2483	75	21	system	system	NOUN
fcis-2483	75	22	resources	resource	NOUN
fcis-2483	75	23	required	require	VERB
fcis-2483	75	24	by	by	ADP
fcis-2483	75	25	the	the	DET
fcis-2483	75	26	computer	computer	NOUN
fcis-2483	75	27	to	to	PART
fcis-2483	75	28	run	run	VERB
fcis-2483	75	29	the	the	DET
fcis-2483	75	30	generative	generative	ADJ
fcis-2483	75	31	confrontation	confrontation	NOUN
fcis-2483	75	32	network	network	NOUN
fcis-2483	75	33	are	be	AUX
fcis-2483	75	34	reduced	reduce	VERB
fcis-2483	75	35	,	,	PUNCT
fcis-2483	75	36	and	and	CCONJ
fcis-2483	75	37	the	the	DET
fcis-2483	75	38	requirements	requirement	NOUN
fcis-2483	75	39	for	for	ADP
fcis-2483	75	40	computer	computer	NOUN
fcis-2483	75	41	performance	performance	NOUN
fcis-2483	75	42	are	be	AUX
fcis-2483	75	43	reduced	reduce	VERB
fcis-2483	75	44	.	.	PUNCT
fcis-2483	76	1	a	a	DET
fcis-2483	76	2	new	new	ADJ
fcis-2483	76	3	algorithm	algorithm	NOUN
fcis-2483	76	4	is	be	AUX
fcis-2483	76	5	used	use	VERB
fcis-2483	76	6	to	to	PART
fcis-2483	76	7	reduce	reduce	VERB
fcis-2483	76	8	the	the	DET
fcis-2483	76	9	number	number	NOUN
fcis-2483	76	10	of	of	ADP
fcis-2483	76	11	training	training	NOUN
fcis-2483	76	12	samples	sample	NOUN
fcis-2483	76	13	.	.	PUNCT
fcis-2483	77	1	the	the	DET
fcis-2483	77	2	adam	adam	PROPN
fcis-2483	77	3	gradient	gradient	PROPN
fcis-2483	77	4	descent	descent	NOUN
fcis-2483	77	5	algorithm	algorithm	NOUN
fcis-2483	77	6	and	and	CCONJ
fcis-2483	77	7	the	the	DET
fcis-2483	77	8	random	random	ADJ
fcis-2483	77	9	gradient	gradient	ADJ
fcis-2483	77	10	descent	descent	NOUN
fcis-2483	77	11	method	method	NOUN
fcis-2483	77	12	are	be	AUX
fcis-2483	77	13	used	use	VERB
fcis-2483	77	14	to	to	PART
fcis-2483	77	15	find	find	VERB
fcis-2483	77	16	the	the	DET
fcis-2483	77	17	best	good	ADJ
fcis-2483	77	18	number	number	NOUN
fcis-2483	77	19	of	of	ADP
fcis-2483	77	20	iterations	iteration	NOUN
fcis-2483	77	21	,	,	PUNCT
fcis-2483	77	22	so	so	SCONJ
fcis-2483	77	23	as	as	SCONJ
fcis-2483	77	24	to	to	PART
fcis-2483	77	25	reduce	reduce	VERB
fcis-2483	77	26	the	the	DET
fcis-2483	77	27	amount	amount	NOUN
fcis-2483	77	28	of	of	ADP
fcis-2483	77	29	training	training	NOUN
fcis-2483	77	30	,	,	PUNCT
fcis-2483	77	31	optimize	optimize	VERB
fcis-2483	77	32	the	the	DET
fcis-2483	77	33	training	training	NOUN
fcis-2483	77	34	time	time	NOUN
fcis-2483	77	35	and	and	CCONJ
fcis-2483	77	36	save	save	VERB
fcis-2483	77	37	the	the	DET
fcis-2483	77	38	cost	cost	NOUN
fcis-2483	77	39	.	.	PUNCT
fcis-2483	78	1	add	add	VERB
fcis-2483	78	2	new	new	ADJ
fcis-2483	78	3	network	network	NOUN
fcis-2483	78	4	optimization	optimization	NOUN
fcis-2483	78	5	to	to	PART
fcis-2483	78	6	generate	generate	VERB
fcis-2483	78	7	image	image	NOUN
fcis-2483	78	8	details	detail	NOUN
fcis-2483	78	9	.	.	PUNCT
fcis-2483	79	1	images	image	NOUN
fcis-2483	79	2	repaired	repair	VERB
fcis-2483	79	3	by	by	ADP
fcis-2483	79	4	generative	generative	ADJ
fcis-2483	79	5	adversarial	adversarial	ADJ
fcis-2483	79	6	networks	network	NOUN
fcis-2483	79	7	,	,	PUNCT
fcis-2483	79	8	although	although	SCONJ
fcis-2483	79	9	roughly	roughly	ADV
fcis-2483	79	10	similar	similar	ADJ
fcis-2483	79	11	to	to	ADP
fcis-2483	79	12	the	the	DET
fcis-2483	79	13	original	original	ADJ
fcis-2483	79	14	image	image	NOUN
fcis-2483	79	15	,	,	PUNCT
fcis-2483	79	16	but	but	CCONJ
fcis-2483	79	17	the	the	DET
fcis-2483	79	18	details	detail	NOUN
fcis-2483	79	19	are	be	AUX
fcis-2483	79	20	still	still	ADV
fcis-2483	79	21	relatively	relatively	ADV
fcis-2483	79	22	rough	rough	ADJ
fcis-2483	79	23	.	.	PUNCT
fcis-2483	80	1	therefore	therefore	ADV
fcis-2483	80	2	,	,	PUNCT
fcis-2483	80	3	scientists	scientist	NOUN
fcis-2483	80	4	hope	hope	VERB
fcis-2483	80	5	to	to	PART
fcis-2483	80	6	enter	enter	VERB
fcis-2483	80	7	the	the	DET
fcis-2483	80	8	generative	generative	ADJ
fcis-2483	80	9	network	network	NOUN
fcis-2483	80	10	by	by	ADP
fcis-2483	80	11	adding	add	VERB
fcis-2483	80	12	a	a	DET
fcis-2483	80	13	new	new	ADJ
fcis-2483	80	14	network	network	NOUN
fcis-2483	80	15	such	such	ADJ
fcis-2483	80	16	as	as	ADP
fcis-2483	80	17	the	the	DET
fcis-2483	80	18	semantic	semantic	ADJ
fcis-2483	80	19	perception	perception	NOUN
fcis-2483	80	20	network	network	NOUN
fcis-2483	80	21	,	,	PUNCT
fcis-2483	80	22	so	so	SCONJ
fcis-2483	80	23	as	as	SCONJ
fcis-2483	80	24	to	to	PART
fcis-2483	80	25	optimize	optimize	VERB
fcis-2483	80	26	the	the	DET
fcis-2483	80	27	quality	quality	NOUN
fcis-2483	80	28	of	of	ADP
fcis-2483	80	29	repairing	repair	VERB
fcis-2483	80	30	face	face	NOUN
fcis-2483	80	31	images	image	NOUN
fcis-2483	80	32	and	and	CCONJ
fcis-2483	80	33	increase	increase	VERB
fcis-2483	80	34	the	the	DET
fcis-2483	80	35	details	detail	NOUN
fcis-2483	80	36	of	of	ADP
fcis-2483	80	37	human	human	ADJ
fcis-2483	80	38	face	face	NOUN
fcis-2483	80	39	.	.	PUNCT
fcis-2483	81	1	add	add	VERB
fcis-2483	81	2	the	the	DET
fcis-2483	81	3	network	network	NOUN
fcis-2483	81	4	based	base	VERB
fcis-2483	81	5	on	on	ADP
fcis-2483	81	6	yolo	yolo	ADJ
fcis-2483	81	7	series	series	NOUN
fcis-2483	81	8	to	to	PART
fcis-2483	81	9	preprocess	preprocess	VERB
fcis-2483	81	10	the	the	DET
fcis-2483	81	11	images	image	NOUN
fcis-2483	81	12	.	.	PUNCT
fcis-2483	82	1	before	before	SCONJ
fcis-2483	82	2	the	the	DET
fcis-2483	82	3	occluded	occluded	ADJ
fcis-2483	82	4	face	face	NOUN
fcis-2483	82	5	images	image	NOUN
fcis-2483	82	6	are	be	AUX
fcis-2483	82	7	input	input	VERB
fcis-2483	82	8	into	into	ADP
fcis-2483	82	9	the	the	DET
fcis-2483	82	10	6	6	NUM
fcis-2483	82	11	generative	generative	ADJ
fcis-2483	82	12	adversarial	adversarial	ADJ
fcis-2483	82	13	network	network	NOUN
fcis-2483	82	14	,	,	PUNCT
fcis-2483	82	15	the	the	DET
fcis-2483	82	16	network	network	NOUN
fcis-2483	82	17	of	of	ADP
fcis-2483	82	18	yolo	yolo	ADJ
fcis-2483	82	19	series	series	NOUN
fcis-2483	82	20	such	such	ADJ
fcis-2483	82	21	as	as	ADP
fcis-2483	82	22	yolov4	yolov4	PROPN
fcis-2483	82	23	is	be	AUX
fcis-2483	82	24	used	use	VERB
fcis-2483	82	25	to	to	PART
fcis-2483	82	26	quickly	quickly	ADV
fcis-2483	82	27	locate	locate	VERB
fcis-2483	82	28	the	the	DET
fcis-2483	82	29	occlusion	occlusion	NOUN
fcis-2483	82	30	layer	layer	NOUN
fcis-2483	82	31	of	of	ADP
fcis-2483	82	32	the	the	DET
fcis-2483	82	33	image	image	NOUN
fcis-2483	82	34	,	,	PUNCT
fcis-2483	82	35	and	and	CCONJ
fcis-2483	82	36	highlight	highlight	VERB
fcis-2483	82	37	it	it	PRON
fcis-2483	82	38	.	.	PUNCT
fcis-2483	83	1	the	the	DET
fcis-2483	83	2	generated	generate	VERB
fcis-2483	83	3	network	network	NOUN
fcis-2483	83	4	is	be	AUX
fcis-2483	83	5	assisted	assist	VERB
fcis-2483	83	6	to	to	PART
fcis-2483	83	7	accurately	accurately	ADV
fcis-2483	83	8	locate	locate	VERB
fcis-2483	83	9	the	the	DET
fcis-2483	83	10	occlusion	occlusion	NOUN
fcis-2483	83	11	layer	layer	NOUN
fcis-2483	83	12	,	,	PUNCT
fcis-2483	83	13	so	so	SCONJ
fcis-2483	83	14	as	as	SCONJ
fcis-2483	83	15	to	to	PART
fcis-2483	83	16	improve	improve	VERB
fcis-2483	83	17	the	the	DET
fcis-2483	83	18	quality	quality	NOUN
fcis-2483	83	19	of	of	ADP
fcis-2483	83	20	the	the	DET
fcis-2483	83	21	restored	restore	VERB
fcis-2483	83	22	images	image	NOUN
fcis-2483	83	23	,	,	PUNCT
fcis-2483	83	24	optimize	optimize	VERB
fcis-2483	83	25	the	the	DET
fcis-2483	83	26	image	image	NOUN
fcis-2483	83	27	details	detail	NOUN
fcis-2483	83	28	,	,	PUNCT
fcis-2483	83	29	and	and	CCONJ
fcis-2483	83	30	reduce	reduce	VERB
fcis-2483	83	31	the	the	DET
fcis-2483	83	32	training	training	NOUN
fcis-2483	83	33	time	time	NOUN
fcis-2483	83	34	required	require	VERB
fcis-2483	83	35	for	for	ADP
fcis-2483	83	36	the	the	DET
fcis-2483	83	37	generative	generative	ADJ
fcis-2483	83	38	adversarial	adversarial	ADJ
fcis-2483	83	39	network	network	NOUN
fcis-2483	83	40	.	.	PUNCT
fcis-2483	84	1	5	5	X
fcis-2483	84	2	.	.	X
fcis-2483	84	3	conclusion	conclusion	NOUN
fcis-2483	84	4	in	in	ADP
fcis-2483	84	5	this	this	DET
fcis-2483	84	6	paper	paper	NOUN
fcis-2483	84	7	,	,	PUNCT
fcis-2483	84	8	the	the	DET
fcis-2483	84	9	development	development	NOUN
fcis-2483	84	10	history	history	NOUN
fcis-2483	84	11	of	of	ADP
fcis-2483	84	12	face	face	NOUN
fcis-2483	84	13	repair	repair	NOUN
fcis-2483	84	14	technology	technology	NOUN
fcis-2483	84	15	is	be	AUX
fcis-2483	84	16	reviewed	review	VERB
fcis-2483	84	17	,	,	PUNCT
fcis-2483	84	18	and	and	CCONJ
fcis-2483	84	19	the	the	DET
fcis-2483	84	20	basic	basic	ADJ
fcis-2483	84	21	principle	principle	NOUN
fcis-2483	84	22	,	,	PUNCT
fcis-2483	84	23	shortcomings	shortcoming	NOUN
fcis-2483	84	24	and	and	CCONJ
fcis-2483	84	25	development	development	NOUN
fcis-2483	84	26	trend	trend	NOUN
fcis-2483	84	27	of	of	ADP
fcis-2483	84	28	face	face	NOUN
fcis-2483	84	29	repair	repair	NOUN
fcis-2483	84	30	technology	technology	NOUN
fcis-2483	84	31	are	be	AUX
fcis-2483	84	32	summarized	summarize	VERB
fcis-2483	84	33	and	and	CCONJ
fcis-2483	84	34	prospected	prospect	VERB
fcis-2483	84	35	.	.	PUNCT
fcis-2483	85	1	it	it	PRON
fcis-2483	85	2	can	can	AUX
fcis-2483	85	3	be	be	AUX
fcis-2483	85	4	seen	see	VERB
fcis-2483	85	5	that	that	SCONJ
fcis-2483	85	6	the	the	DET
fcis-2483	85	7	current	current	ADJ
fcis-2483	85	8	face	face	NOUN
fcis-2483	85	9	restoration	restoration	NOUN
fcis-2483	85	10	technology	technology	NOUN
fcis-2483	85	11	can	can	AUX
fcis-2483	85	12	restore	restore	VERB
fcis-2483	85	13	the	the	DET
fcis-2483	85	14	face	face	NOUN
fcis-2483	85	15	with	with	ADP
fcis-2483	85	16	high	high	ADJ
fcis-2483	85	17	speed	speed	NOUN
fcis-2483	85	18	and	and	CCONJ
fcis-2483	85	19	accuracy	accuracy	NOUN
fcis-2483	85	20	.	.	PUNCT
fcis-2483	86	1	however	however	ADV
fcis-2483	86	2	,	,	PUNCT
fcis-2483	86	3	there	there	PRON
fcis-2483	86	4	are	be	VERB
fcis-2483	86	5	still	still	ADV
fcis-2483	86	6	some	some	DET
fcis-2483	86	7	problems	problem	NOUN
fcis-2483	86	8	in	in	ADP
fcis-2483	86	9	face	face	NOUN
fcis-2483	86	10	repair	repair	NOUN
fcis-2483	86	11	technology	technology	NOUN
fcis-2483	86	12	,	,	PUNCT
fcis-2483	86	13	such	such	ADJ
fcis-2483	86	14	as	as	ADP
fcis-2483	86	15	large	large	ADJ
fcis-2483	86	16	amount	amount	NOUN
fcis-2483	86	17	of	of	ADP
fcis-2483	86	18	computation	computation	NOUN
fcis-2483	86	19	,	,	PUNCT
fcis-2483	86	20	long	long	ADJ
fcis-2483	86	21	training	training	NOUN
fcis-2483	86	22	time	time	NOUN
fcis-2483	86	23	and	and	CCONJ
fcis-2483	86	24	fuzzy	fuzzy	ADJ
fcis-2483	86	25	details	detail	NOUN
fcis-2483	86	26	.	.	PUNCT
fcis-2483	87	1	scientists	scientist	NOUN
fcis-2483	87	2	have	have	AUX
fcis-2483	87	3	put	put	VERB
fcis-2483	87	4	forward	forward	ADV
fcis-2483	87	5	some	some	DET
fcis-2483	87	6	methods	method	NOUN
fcis-2483	87	7	to	to	PART
fcis-2483	87	8	solve	solve	VERB
fcis-2483	87	9	these	these	DET
fcis-2483	87	10	problems	problem	NOUN
fcis-2483	87	11	,	,	PUNCT
fcis-2483	87	12	such	such	ADJ
fcis-2483	87	13	as	as	ADP
fcis-2483	87	14	optimizing	optimize	VERB
fcis-2483	87	15	the	the	DET
fcis-2483	87	16	amount	amount	NOUN
fcis-2483	87	17	of	of	ADP
fcis-2483	87	18	computation	computation	NOUN
fcis-2483	87	19	by	by	ADP
fcis-2483	87	20	updating	update	VERB
fcis-2483	87	21	the	the	DET
fcis-2483	87	22	algorithm	algorithm	NOUN
fcis-2483	87	23	,	,	PUNCT
fcis-2483	87	24	using	use	VERB
fcis-2483	87	25	new	new	ADJ
fcis-2483	87	26	auxiliary	auxiliary	ADJ
fcis-2483	87	27	algorithms	algorithm	NOUN
fcis-2483	87	28	to	to	PART
fcis-2483	87	29	reduce	reduce	VERB
fcis-2483	87	30	the	the	DET
fcis-2483	87	31	number	number	NOUN
fcis-2483	87	32	of	of	ADP
fcis-2483	87	33	samples	sample	NOUN
fcis-2483	87	34	required	require	VERB
fcis-2483	87	35	,	,	PUNCT
fcis-2483	87	36	adding	add	VERB
fcis-2483	87	37	new	new	ADJ
fcis-2483	87	38	networks	network	NOUN
fcis-2483	87	39	to	to	PART
fcis-2483	87	40	increase	increase	VERB
fcis-2483	87	41	the	the	DET
fcis-2483	87	42	details	detail	NOUN
fcis-2483	87	43	of	of	ADP
fcis-2483	87	44	face	face	NOUN
fcis-2483	87	45	images	image	NOUN
fcis-2483	87	46	,	,	PUNCT
fcis-2483	87	47	and	and	CCONJ
fcis-2483	87	48	increasing	increase	VERB
fcis-2483	87	49	the	the	DET
fcis-2483	87	50	image	image	NOUN
fcis-2483	87	51	preprocessing	preprocessing	NOUN
fcis-2483	87	52	stage	stage	NOUN
fcis-2483	87	53	.	.	PUNCT
fcis-2483	88	1	it	it	PRON
fcis-2483	88	2	is	be	AUX
fcis-2483	88	3	believed	believe	VERB
fcis-2483	88	4	that	that	SCONJ
fcis-2483	88	5	future	future	ADJ
fcis-2483	88	6	face	face	NOUN
fcis-2483	88	7	repair	repair	NOUN
fcis-2483	88	8	technology	technology	NOUN
fcis-2483	88	9	will	will	AUX
fcis-2483	88	10	be	be	AUX
fcis-2483	88	11	widely	widely	ADV
fcis-2483	88	12	popularized	popularize	VERB
fcis-2483	88	13	and	and	CCONJ
fcis-2483	88	14	can	can	AUX
fcis-2483	88	15	be	be	AUX
fcis-2483	88	16	effectively	effectively	ADV
fcis-2483	88	17	and	and	CCONJ
fcis-2483	88	18	conveniently	conveniently	ADV
fcis-2483	88	19	applied	apply	VERB
fcis-2483	88	20	to	to	ADP
fcis-2483	88	21	real	real	ADJ
fcis-2483	88	22	life	life	NOUN
fcis-2483	88	23	.	.	PUNCT
fcis-2483	89	1	references	reference	NOUN
fcis-2483	89	2	[	[	X
fcis-2483	89	3	1	1	X
fcis-2483	89	4	]	]	X
fcis-2483	89	5	liu	liu	PROPN
fcis-2483	89	6	ying	ying	PROPN
fcis-2483	89	7	,	,	PUNCT
fcis-2483	89	8	zhang	zhang	PROPN
fcis-2483	89	9	yixuan	yixuan	PROPN
fcis-2483	89	10	,	,	PUNCT
fcis-2483	89	11	she	she	PRON
fcis-2483	89	12	jianchu	jianchu	PROPN
fcis-2483	89	13	,	,	PUNCT
fcis-2483	89	14	wang	wang	PROPN
fcis-2483	89	15	fuping	fuping	PROPN
fcis-2483	89	16	,	,	PUNCT
fcis-2483	89	17	lim	lim	PROPN
fcis-2483	89	18	kengpang	kengpang	PROPN
fcis-2483	89	19	.	.	PUNCT
fcis-2483	90	1	(	(	PUNCT
fcis-2483	90	2	2021	2021	NUM
fcis-2483	90	3	)	)	PUNCT
fcis-2483	90	4	.	.	PUNCT
fcis-2483	91	1	review	review	NOUN
fcis-2483	91	2	of	of	ADP
fcis-2483	91	3	new	new	ADJ
fcis-2483	91	4	face	face	NOUN
fcis-2483	91	5	occlusion	occlusion	NOUN
fcis-2483	91	6	inpainting	inpainte	VERB
fcis-2483	91	7	technology	technology	NOUN
fcis-2483	91	8	research	research	NOUN
fcis-2483	91	9	.	.	PUNCT
fcis-2483	92	1	computer	computer	NOUN
fcis-2483	92	2	science	science	NOUN
fcis-2483	92	3	and	and	CCONJ
fcis-2483	92	4	exploration	exploration	NOUN
fcis-2483	92	5	(	(	PUNCT
fcis-2483	92	6	10),1773	10),1773	PROPN
fcis-2483	92	7	-	-	PUNCT
fcis-2483	92	8	1794	1794	NUM
fcis-2483	92	9	.	.	PUNCT
fcis-2483	93	1	[	[	X
fcis-2483	93	2	2	2	NUM
fcis-2483	93	3	]	]	PUNCT
fcis-2483	93	4	xu	xu	PROPN
fcis-2483	93	5	xialing	xialing	PROPN
fcis-2483	93	6	,	,	PUNCT
fcis-2483	93	7	liu	liu	PROPN
fcis-2483	93	8	tao	tao	PROPN
fcis-2483	93	9	,	,	PUNCT
fcis-2483	93	10	tian	tian	PROPN
fcis-2483	93	11	guohui	guohui	PROPN
fcis-2483	93	12	,	,	PUNCT
fcis-2483	93	13	yu	yu	PROPN
fcis-2483	93	14	wenjuan	wenjuan	PROPN
fcis-2483	93	15	,	,	PUNCT
fcis-2483	93	16	xiao	xiao	PROPN
fcis-2483	93	17	dajun	dajun	PROPN
fcis-2483	93	18	,	,	PUNCT
fcis-2483	93	19	liang	liang	PROPN
fcis-2483	93	20	shanpeng.(2021	shanpeng.(2021	PROPN
fcis-2483	93	21	)	)	PUNCT
fcis-2483	93	22	.	.	PUNCT
fcis-2483	94	1	review	review	NOUN
fcis-2483	94	2	of	of	ADP
fcis-2483	94	3	occlusion	occlusion	NOUN
fcis-2483	94	4	face	face	NOUN
fcis-2483	94	5	recognition	recognition	NOUN
fcis-2483	94	6	methods	method	NOUN
fcis-2483	94	7	.	.	PUNCT
fcis-2483	95	1	computer	computer	NOUN
fcis-2483	95	2	engineering	engineering	NOUN
fcis-2483	95	3	and	and	CCONJ
fcis-2483	95	4	application	application	NOUN
fcis-2483	95	5	(	(	PUNCT
fcis-2483	95	6	17	17	NUM
fcis-2483	95	7	)	)	PUNCT
fcis-2483	95	8	,	,	PUNCT
fcis-2483	95	9	46	46	NUM
fcis-2483	95	10	-	-	SYM
fcis-2483	95	11	60	60	NUM
fcis-2483	95	12	.	.	PUNCT
fcis-2483	96	1	[	[	X
fcis-2483	96	2	3	3	X
fcis-2483	96	3	]	]	X
fcis-2483	96	4	liu	liu	PROPN
fcis-2483	96	5	xiaolei	xiaolei	PROPN
fcis-2483	96	6	.	.	PUNCT
fcis-2483	97	1	(	(	PUNCT
fcis-2483	97	2	2022	2022	NUM
fcis-2483	97	3	)	)	PUNCT
fcis-2483	97	4	.	.	PUNCT
fcis-2483	98	1	research	research	NOUN
fcis-2483	98	2	on	on	ADP
fcis-2483	98	3	face	face	NOUN
fcis-2483	98	4	reconstruction	reconstruction	NOUN
fcis-2483	98	5	and	and	CCONJ
fcis-2483	98	6	recognition	recognition	NOUN
fcis-2483	98	7	of	of	ADP
fcis-2483	98	8	mask	mask	NOUN
fcis-2483	98	9	occlusion	occlusion	NOUN
fcis-2483	98	10	based	base	VERB
fcis-2483	98	11	on	on	ADP
fcis-2483	98	12	generative	generative	ADJ
fcis-2483	98	13	adversarial	adversarial	ADJ
fcis-2483	98	14	network	network	NOUN
fcis-2483	98	15	(	(	PUNCT
fcis-2483	98	16	master	master	NOUN
fcis-2483	98	17	degree	degree	NOUN
fcis-2483	98	18	thesis	thesis	NOUN
fcis-2483	98	19	,	,	PUNCT
fcis-2483	98	20	university	university	NOUN
fcis-2483	98	21	of	of	ADP
fcis-2483	98	22	electronic	electronic	ADJ
fcis-2483	98	23	science	science	NOUN
fcis-2483	98	24	and	and	CCONJ
fcis-2483	98	25	technology	technology	NOUN
fcis-2483	98	26	of	of	ADP
fcis-2483	98	27	china	china	PROPN
fcis-2483	98	28	)	)	PUNCT
fcis-2483	98	29	.	.	PUNCT
fcis-2483	99	1	[	[	X
fcis-2483	99	2	4	4	X
fcis-2483	99	3	]	]	X
fcis-2483	99	4	song	song	ADJ
fcis-2483	99	5	huakun	huakun	NOUN
fcis-2483	99	6	.	.	PUNCT
fcis-2483	100	1	(	(	PUNCT
fcis-2483	100	2	2022).research	2022).research	VERB
fcis-2483	100	3	on	on	ADP
fcis-2483	100	4	face	face	NOUN
fcis-2483	100	5	image	image	NOUN
fcis-2483	100	6	restoration	restoration	NOUN
fcis-2483	100	7	based	base	VERB
fcis-2483	100	8	on	on	ADP
fcis-2483	100	9	generative	generative	ADJ
fcis-2483	100	10	adversarial	adversarial	ADJ
fcis-2483	100	11	network(master	network(master	ADJ
fcis-2483	100	12	degree	degree	NOUN
fcis-2483	100	13	thesis	thesis	NOUN
fcis-2483	100	14	,	,	PUNCT
fcis-2483	100	15	harbin	harbin	PROPN
fcis-2483	100	16	university	university	PROPN
fcis-2483	100	17	of	of	ADP
fcis-2483	100	18	technology	technology	NOUN
fcis-2483	100	19	)	)	PUNCT
fcis-2483	100	20	.	.	PUNCT
fcis-2483	101	1	[	[	X
fcis-2483	101	2	5	5	X
fcis-2483	101	3	]	]	X
fcis-2483	101	4	liu	liu	PROPN
fcis-2483	101	5	ying	ying	PROPN
fcis-2483	101	6	,	,	PUNCT
fcis-2483	101	7	she	she	PRON
fcis-2483	101	8	jianchu，gong	jianchu，gong	VERB
fcis-2483	101	9	yanchao，lu	yanchao，lu	PROPN
fcis-2483	101	10	jin，wang	jin，wang	PROPN
fcis-2483	101	11	fuping，lim	fuping，lim	NUM
fcis-2483	101	12	kengpang，li	kengpang，li	PROPN
fcis-2483	101	13	yinghua	yinghua	PROPN
fcis-2483	101	14	.	.	PUNCT
fcis-2483	102	1	(	(	PUNCT
fcis-2483	102	2	2021	2021	NUM
fcis-2483	102	3	)	)	PUNCT
fcis-2483	102	4	.	.	PUNCT
fcis-2483	103	1	survey	survey	NOUN
fcis-2483	103	2	of	of	ADP
fcis-2483	103	3	facial	facial	ADJ
fcis-2483	103	4	completion	completion	NOUN
fcis-2483	103	5	techniques	technique	NOUN
fcis-2483	103	6	based	base	VERB
fcis-2483	103	7	on	on	ADP
fcis-2483	103	8	deep	deep	ADJ
fcis-2483	103	9	learning	learning	NOUN
fcis-2483	103	10	.	.	PUNCT
fcis-2483	104	1	computer	computer	NOUN
fcis-2483	104	2	applied	apply	VERB
fcis-2483	104	3	research	research	NOUN
fcis-2483	104	4	(	(	PUNCT
fcis-2483	104	5	01),9	01),9	NOUN
fcis-2483	104	6	-	-	SYM
fcis-2483	104	7	14	14	NUM
fcis-2483	104	8	.	.	PUNCT
fcis-2483	105	1	doi:10.19734	doi:10.19734	ADJ
fcis-2483	105	2	/	/	SYM
fcis-2483	105	3	j.issn.10013695.2019.10.0583	j.issn.10013695.2019.10.0583	NOUN
fcis-2483	105	4	.	.	PUNCT
fcis-2483	106	1	[	[	X
fcis-2483	106	2	6	6	NUM
fcis-2483	106	3	]	]	PUNCT
fcis-2483	106	4	wang	wang	PROPN
fcis-2483	106	5	yi	yi	PROPN
fcis-2483	106	6	.	.	PUNCT
fcis-2483	107	1	(	(	PUNCT
fcis-2483	107	2	2018).research	2018).research	NUM
fcis-2483	107	3	on	on	ADP
fcis-2483	107	4	face	face	NOUN
fcis-2483	107	5	image	image	NOUN
fcis-2483	107	6	repair	repair	NOUN
fcis-2483	107	7	technology	technology	NOUN
fcis-2483	107	8	(	(	PUNCT
fcis-2483	107	9	master	master	NOUN
fcis-2483	107	10	degree	degree	NOUN
fcis-2483	107	11	thesis	thesis	NOUN
fcis-2483	107	12	,	,	PUNCT
fcis-2483	107	13	zhejiang	zhejiang	PROPN
fcis-2483	107	14	university	university	PROPN
fcis-2483	107	15	of	of	ADP
fcis-2483	107	16	technology	technology	NOUN
fcis-2483	107	17	)	)	PUNCT
fcis-2483	107	18	.	.	PUNCT