id	sid	tid	token	lemma	pos
fcis-6019	1	1	frontiers	frontier	NOUN
fcis-6019	1	2	in	in	ADP
fcis-6019	1	3	computing	computing	NOUN
fcis-6019	1	4	and	and	CCONJ
fcis-6019	1	5	intelligent	intelligent	ADJ
fcis-6019	1	6	systems	system	NOUN
fcis-6019	1	7	issn	issn	VERB
fcis-6019	1	8	:	:	PUNCT
fcis-6019	1	9	2832	2832	NUM
fcis-6019	1	10	-	-	SYM
fcis-6019	1	11	6024	6024	NUM
fcis-6019	1	12	|	|	NOUN
fcis-6019	1	13	vol	vol	NOUN
fcis-6019	1	14	.	.	PROPN
fcis-6019	2	1	3	3	NUM
fcis-6019	2	2	,	,	PUNCT
fcis-6019	2	3	no	no	INTJ
fcis-6019	2	4	.	.	NOUN
fcis-6019	2	5	1	1	NUM
fcis-6019	2	6	,	,	PUNCT
fcis-6019	2	7	2023	2023	NUM
fcis-6019	2	8	26	26	NUM
fcis-6019	2	9	a	a	DET
fcis-6019	2	10	survey	survey	NOUN
fcis-6019	2	11	of	of	ADP
fcis-6019	2	12	face	face	NOUN
fcis-6019	2	13	recognition	recognition	NOUN
fcis-6019	2	14	methods	method	NOUN
fcis-6019	2	15	based	base	VERB
fcis-6019	2	16	on	on	ADP
fcis-6019	2	17	mask	mask	NOUN
fcis-6019	2	18	region	region	NOUN
fcis-6019	2	19	restoration	restoration	NOUN
fcis-6019	2	20	algorithm	algorithm	PROPN
fcis-6019	2	21	jingyu	jingyu	PROPN
fcis-6019	2	22	wei	wei	PROPN
fcis-6019	2	23	school	school	PROPN
fcis-6019	2	24	of	of	ADP
fcis-6019	2	25	haishan	haishan	PROPN
fcis-6019	2	26	,	,	PUNCT
fcis-6019	2	27	qingdao	qingdao	PROPN
fcis-6019	2	28	,	,	PUNCT
fcis-6019	2	29	china	china	PROPN
fcis-6019	2	30	.	.	PUNCT
fcis-6019	3	1	abstract	abstract	PROPN
fcis-6019	3	2	:	:	PUNCT
fcis-6019	3	3	the	the	DET
fcis-6019	3	4	complex	complex	ADJ
fcis-6019	3	5	and	and	CCONJ
fcis-6019	3	6	diverse	diverse	ADJ
fcis-6019	3	7	background	background	NOUN
fcis-6019	3	8	conditions	condition	NOUN
fcis-6019	3	9	,	,	PUNCT
fcis-6019	3	10	the	the	DET
fcis-6019	3	11	variability	variability	NOUN
fcis-6019	3	12	of	of	ADP
fcis-6019	3	13	human	human	ADJ
fcis-6019	3	14	face	face	NOUN
fcis-6019	3	15	and	and	CCONJ
fcis-6019	3	16	the	the	DET
fcis-6019	3	17	artificial	artificial	ADJ
fcis-6019	3	18	deliberate	deliberate	ADJ
fcis-6019	3	19	transformation	transformation	NOUN
fcis-6019	3	20	have	have	AUX
fcis-6019	3	21	all	all	PRON
fcis-6019	3	22	become	become	VERB
fcis-6019	3	23	the	the	DET
fcis-6019	3	24	problems	problem	NOUN
fcis-6019	3	25	that	that	PRON
fcis-6019	3	26	traditional	traditional	ADJ
fcis-6019	3	27	face	face	NOUN
fcis-6019	3	28	recognition	recognition	NOUN
fcis-6019	3	29	technology	technology	NOUN
fcis-6019	3	30	ca	can	AUX
fcis-6019	3	31	n't	not	PART
fcis-6019	3	32	solve	solve	VERB
fcis-6019	3	33	,	,	PUNCT
fcis-6019	3	34	and	and	CCONJ
fcis-6019	3	35	they	they	PRON
fcis-6019	3	36	ca	can	AUX
fcis-6019	3	37	n't	not	PART
fcis-6019	3	38	really	really	ADV
fcis-6019	3	39	reflect	reflect	VERB
fcis-6019	3	40	the	the	DET
fcis-6019	3	41	imperceptible	imperceptible	ADJ
fcis-6019	3	42	advantages	advantage	NOUN
fcis-6019	3	43	of	of	ADP
fcis-6019	3	44	face	face	NOUN
fcis-6019	3	45	recognition	recognition	NOUN
fcis-6019	3	46	.	.	PUNCT
fcis-6019	4	1	after	after	ADP
fcis-6019	4	2	wearing	wear	VERB
fcis-6019	4	3	masks	mask	NOUN
fcis-6019	4	4	,	,	PUNCT
fcis-6019	4	5	the	the	DET
fcis-6019	4	6	most	most	ADV
fcis-6019	4	7	important	important	ADJ
fcis-6019	4	8	mouth	mouth	NOUN
fcis-6019	4	9	and	and	CCONJ
fcis-6019	4	10	nose	nose	NOUN
fcis-6019	4	11	areas	area	NOUN
fcis-6019	4	12	of	of	ADP
fcis-6019	4	13	human	human	ADJ
fcis-6019	4	14	face	face	NOUN
fcis-6019	4	15	are	be	AUX
fcis-6019	4	16	covered	cover	VERB
fcis-6019	4	17	by	by	ADP
fcis-6019	4	18	these	these	DET
fcis-6019	4	19	masks	mask	NOUN
fcis-6019	4	20	with	with	ADP
fcis-6019	4	21	different	different	ADJ
fcis-6019	4	22	shapes	shape	NOUN
fcis-6019	4	23	and	and	CCONJ
fcis-6019	4	24	colors	color	NOUN
fcis-6019	4	25	,	,	PUNCT
fcis-6019	4	26	and	and	CCONJ
fcis-6019	4	27	some	some	DET
fcis-6019	4	28	facial	facial	ADJ
fcis-6019	4	29	features	feature	NOUN
fcis-6019	4	30	are	be	AUX
fcis-6019	4	31	hidden	hide	VERB
fcis-6019	4	32	,	,	PUNCT
fcis-6019	4	33	and	and	CCONJ
fcis-6019	4	34	the	the	DET
fcis-6019	4	35	key	key	ADJ
fcis-6019	4	36	feature	feature	NOUN
fcis-6019	4	37	points	point	NOUN
fcis-6019	4	38	that	that	PRON
fcis-6019	4	39	can	can	AUX
fcis-6019	4	40	be	be	AUX
fcis-6019	4	41	extracted	extract	VERB
fcis-6019	4	42	are	be	AUX
fcis-6019	4	43	greatly	greatly	ADV
fcis-6019	4	44	reduced	reduce	VERB
fcis-6019	4	45	.	.	PUNCT
fcis-6019	5	1	in	in	ADP
fcis-6019	5	2	this	this	DET
fcis-6019	5	3	paper	paper	NOUN
fcis-6019	5	4	,	,	PUNCT
fcis-6019	5	5	the	the	DET
fcis-6019	5	6	existing	exist	VERB
fcis-6019	5	7	mask	mask	NOUN
fcis-6019	5	8	region	region	NOUN
fcis-6019	5	9	repair	repair	NOUN
fcis-6019	5	10	algorithms	algorithm	NOUN
fcis-6019	5	11	at	at	ADP
fcis-6019	5	12	home	home	ADV
fcis-6019	5	13	and	and	CCONJ
fcis-6019	5	14	abroad	abroad	ADV
fcis-6019	5	15	are	be	AUX
fcis-6019	5	16	classified	classify	VERB
fcis-6019	5	17	and	and	CCONJ
fcis-6019	5	18	summarized	summarize	VERB
fcis-6019	5	19	,	,	PUNCT
fcis-6019	5	20	mainly	mainly	ADV
fcis-6019	5	21	including	include	VERB
fcis-6019	5	22	mask	mask	NOUN
fcis-6019	5	23	occlusion	occlusion	NOUN
fcis-6019	5	24	face	face	NOUN
fcis-6019	5	25	recognition	recognition	NOUN
fcis-6019	5	26	based	base	VERB
fcis-6019	5	27	on	on	ADP
fcis-6019	5	28	robust	robust	ADJ
fcis-6019	5	29	occlusion	occlusion	NOUN
fcis-6019	5	30	,	,	PUNCT
fcis-6019	5	31	mask	mask	NOUN
fcis-6019	5	32	occlusion	occlusion	NOUN
fcis-6019	5	33	face	face	NOUN
fcis-6019	5	34	recognition	recognition	NOUN
fcis-6019	5	35	based	base	VERB
fcis-6019	5	36	on	on	ADP
fcis-6019	5	37	sparse	sparse	ADJ
fcis-6019	5	38	representation	representation	NOUN
fcis-6019	5	39	classification	classification	NOUN
fcis-6019	5	40	and	and	CCONJ
fcis-6019	5	41	mask	mask	NOUN
fcis-6019	5	42	occlusion	occlusion	NOUN
fcis-6019	5	43	face	face	NOUN
fcis-6019	5	44	recognition	recognition	NOUN
fcis-6019	5	45	based	base	VERB
fcis-6019	5	46	on	on	ADP
fcis-6019	5	47	neural	neural	ADJ
fcis-6019	5	48	network	network	NOUN
fcis-6019	5	49	.	.	PUNCT
fcis-6019	6	1	it	it	PRON
fcis-6019	6	2	is	be	AUX
fcis-6019	6	3	pointed	point	VERB
fcis-6019	6	4	out	out	ADP
fcis-6019	6	5	that	that	SCONJ
fcis-6019	6	6	partial	partial	ADJ
fcis-6019	6	7	occlusion	occlusion	NOUN
fcis-6019	6	8	is	be	AUX
fcis-6019	6	9	one	one	NUM
fcis-6019	6	10	of	of	ADP
fcis-6019	6	11	the	the	DET
fcis-6019	6	12	main	main	ADJ
fcis-6019	6	13	difficulties	difficulty	NOUN
fcis-6019	6	14	.	.	PUNCT
fcis-6019	7	1	the	the	DET
fcis-6019	7	2	main	main	ADJ
fcis-6019	7	3	methods	method	NOUN
fcis-6019	7	4	and	and	CCONJ
fcis-6019	7	5	shortcomings	shortcoming	NOUN
fcis-6019	7	6	of	of	ADP
fcis-6019	7	7	face	face	NOUN
fcis-6019	7	8	recognition	recognition	NOUN
fcis-6019	7	9	based	base	VERB
fcis-6019	7	10	on	on	ADP
fcis-6019	7	11	mask	mask	NOUN
fcis-6019	7	12	region	region	NOUN
fcis-6019	7	13	repair	repair	NOUN
fcis-6019	7	14	algorithm	algorithm	NOUN
fcis-6019	7	15	are	be	AUX
fcis-6019	7	16	systematically	systematically	ADV
fcis-6019	7	17	analyzed	analyze	VERB
fcis-6019	7	18	and	and	CCONJ
fcis-6019	7	19	summarized	summarize	VERB
fcis-6019	7	20	,	,	PUNCT
fcis-6019	7	21	and	and	CCONJ
fcis-6019	7	22	the	the	DET
fcis-6019	7	23	main	main	ADJ
fcis-6019	7	24	problems	problem	NOUN
fcis-6019	7	25	and	and	CCONJ
fcis-6019	7	26	possible	possible	ADJ
fcis-6019	7	27	research	research	NOUN
fcis-6019	7	28	ways	way	NOUN
fcis-6019	7	29	in	in	ADP
fcis-6019	7	30	the	the	DET
fcis-6019	7	31	future	future	NOUN
fcis-6019	7	32	are	be	AUX
fcis-6019	7	33	analyzed	analyze	VERB
fcis-6019	7	34	.	.	PUNCT
fcis-6019	8	1	keywords	keyword	NOUN
fcis-6019	8	2	:	:	PUNCT
fcis-6019	8	3	mask	mask	VERB
fcis-6019	8	4	occlusion	occlusion	NOUN
fcis-6019	8	5	;	;	PUNCT
fcis-6019	8	6	face	face	NOUN
fcis-6019	8	7	recognition	recognition	NOUN
fcis-6019	8	8	;	;	PUNCT
fcis-6019	8	9	neural	neural	ADJ
fcis-6019	8	10	network	network	NOUN
fcis-6019	8	11	.	.	PUNCT
fcis-6019	9	1	1	1	X
fcis-6019	9	2	.	.	X
fcis-6019	9	3	introduction	introduction	NOUN
fcis-6019	9	4	biometrics	biometric	NOUN
fcis-6019	9	5	is	be	AUX
fcis-6019	9	6	a	a	DET
fcis-6019	9	7	technology	technology	NOUN
fcis-6019	9	8	that	that	PRON
fcis-6019	9	9	uses	use	VERB
fcis-6019	9	10	human	human	ADJ
fcis-6019	9	11	biological	biological	ADJ
fcis-6019	9	12	characteristics	characteristic	NOUN
fcis-6019	9	13	for	for	ADP
fcis-6019	9	14	identity	identity	NOUN
fcis-6019	9	15	authentication	authentication	NOUN
fcis-6019	9	16	.	.	PUNCT
fcis-6019	10	1	many	many	ADJ
fcis-6019	10	2	biological	biological	ADJ
fcis-6019	10	3	characteristics	characteristic	NOUN
fcis-6019	10	4	of	of	ADP
fcis-6019	10	5	human	human	ADJ
fcis-6019	10	6	body	body	NOUN
fcis-6019	10	7	are	be	AUX
fcis-6019	10	8	not	not	PART
fcis-6019	10	9	only	only	ADV
fcis-6019	10	10	unique	unique	ADJ
fcis-6019	10	11	,	,	PUNCT
fcis-6019	10	12	but	but	CCONJ
fcis-6019	10	13	also	also	ADV
fcis-6019	10	14	measurable	measurable	ADJ
fcis-6019	10	15	,	,	PUNCT
fcis-6019	10	16	which	which	PRON
fcis-6019	10	17	makes	make	VERB
fcis-6019	10	18	it	it	PRON
fcis-6019	10	19	possible	possible	ADJ
fcis-6019	10	20	for	for	SCONJ
fcis-6019	10	21	computer	computer	NOUN
fcis-6019	10	22	to	to	PART
fcis-6019	10	23	identify	identify	VERB
fcis-6019	10	24	biological	biological	ADJ
fcis-6019	10	25	characteristics	characteristic	NOUN
fcis-6019	10	26	.	.	PUNCT
fcis-6019	11	1	due	due	ADP
fcis-6019	11	2	to	to	ADP
fcis-6019	11	3	the	the	DET
fcis-6019	11	4	prevalence	prevalence	NOUN
fcis-6019	11	5	of	of	ADP
fcis-6019	11	6	epidemic	epidemic	NOUN
fcis-6019	11	7	situation	situation	NOUN
fcis-6019	11	8	,	,	PUNCT
fcis-6019	11	9	face	face	VERB
fcis-6019	11	10	recognition	recognition	NOUN
fcis-6019	11	11	with	with	ADP
fcis-6019	11	12	masks	mask	NOUN
fcis-6019	11	13	has	have	AUX
fcis-6019	11	14	become	become	VERB
fcis-6019	11	15	an	an	DET
fcis-6019	11	16	urgent	urgent	ADJ
fcis-6019	11	17	problem	problem	NOUN
fcis-6019	11	18	.	.	PUNCT
fcis-6019	12	1	in	in	ADP
fcis-6019	12	2	order	order	NOUN
fcis-6019	12	3	to	to	PART
fcis-6019	12	4	supervise	supervise	VERB
fcis-6019	12	5	people	people	NOUN
fcis-6019	12	6	wearing	wear	VERB
fcis-6019	12	7	masks	mask	NOUN
fcis-6019	12	8	in	in	ADP
fcis-6019	12	9	crowded	crowded	ADJ
fcis-6019	12	10	public	public	ADJ
fcis-6019	12	11	places	place	NOUN
fcis-6019	12	12	(	(	PUNCT
fcis-6019	12	13	such	such	ADJ
fcis-6019	12	14	as	as	ADP
fcis-6019	12	15	airports	airport	NOUN
fcis-6019	12	16	,	,	PUNCT
fcis-6019	12	17	stations	station	NOUN
fcis-6019	12	18	,	,	PUNCT
fcis-6019	12	19	etc	etc	X
fcis-6019	12	20	.	.	X
fcis-6019	12	21	)	)	PUNCT
fcis-6019	12	22	,	,	PUNCT
fcis-6019	12	23	staff	staff	NOUN
fcis-6019	12	24	members	member	NOUN
fcis-6019	12	25	are	be	AUX
fcis-6019	12	26	even	even	ADV
fcis-6019	12	27	specially	specially	ADV
fcis-6019	12	28	assigned	assign	VERB
fcis-6019	12	29	to	to	PART
fcis-6019	12	30	check	check	VERB
fcis-6019	12	31	whether	whether	SCONJ
fcis-6019	12	32	they	they	PRON
fcis-6019	12	33	wear	wear	VERB
fcis-6019	12	34	masks	mask	NOUN
fcis-6019	12	35	.	.	PUNCT
fcis-6019	13	1	complex	complex	ADJ
fcis-6019	13	2	and	and	CCONJ
fcis-6019	13	3	diverse	diverse	ADJ
fcis-6019	13	4	background	background	NOUN
fcis-6019	13	5	conditions	condition	NOUN
fcis-6019	13	6	,	,	PUNCT
fcis-6019	13	7	the	the	DET
fcis-6019	13	8	variability	variability	NOUN
fcis-6019	13	9	of	of	ADP
fcis-6019	13	10	human	human	ADJ
fcis-6019	13	11	face	face	NOUN
fcis-6019	13	12	and	and	CCONJ
fcis-6019	13	13	artificial	artificial	ADJ
fcis-6019	13	14	deliberate	deliberate	ADJ
fcis-6019	13	15	transformation	transformation	NOUN
fcis-6019	13	16	have	have	AUX
fcis-6019	13	17	all	all	PRON
fcis-6019	13	18	become	become	VERB
fcis-6019	13	19	the	the	DET
fcis-6019	13	20	problems	problem	NOUN
fcis-6019	13	21	that	that	PRON
fcis-6019	13	22	traditional	traditional	ADJ
fcis-6019	13	23	face	face	NOUN
fcis-6019	13	24	recognition	recognition	NOUN
fcis-6019	13	25	technology	technology	NOUN
fcis-6019	13	26	ca	can	AUX
fcis-6019	13	27	n't	not	PART
fcis-6019	13	28	solve	solve	VERB
fcis-6019	13	29	,	,	PUNCT
fcis-6019	13	30	and	and	CCONJ
fcis-6019	13	31	ca	can	AUX
fcis-6019	13	32	n't	not	PART
fcis-6019	13	33	really	really	ADV
fcis-6019	13	34	reflect	reflect	VERB
fcis-6019	13	35	the	the	DET
fcis-6019	13	36	imperceptible	imperceptible	ADJ
fcis-6019	13	37	advantages	advantage	NOUN
fcis-6019	13	38	of	of	ADP
fcis-6019	13	39	face	face	NOUN
fcis-6019	13	40	recognition	recognition	NOUN
fcis-6019	13	41	.	.	PUNCT
fcis-6019	14	1	in	in	ADP
fcis-6019	14	2	response	response	NOUN
fcis-6019	14	3	to	to	ADP
fcis-6019	14	4	the	the	DET
fcis-6019	14	5	relevant	relevant	ADJ
fcis-6019	14	6	regulations	regulation	NOUN
fcis-6019	14	7	of	of	ADP
fcis-6019	14	8	the	the	DET
fcis-6019	14	9	state	state	NOUN
fcis-6019	14	10	on	on	ADP
fcis-6019	14	11	epidemic	epidemic	NOUN
fcis-6019	14	12	prevention	prevention	NOUN
fcis-6019	14	13	and	and	CCONJ
fcis-6019	14	14	control	control	NOUN
fcis-6019	14	15	,	,	PUNCT
fcis-6019	14	16	this	this	DET
fcis-6019	14	17	paper	paper	NOUN
fcis-6019	14	18	studies	study	VERB
fcis-6019	14	19	the	the	DET
fcis-6019	14	20	key	key	ADJ
fcis-6019	14	21	technologies	technology	NOUN
fcis-6019	14	22	of	of	ADP
fcis-6019	14	23	face	face	NOUN
fcis-6019	14	24	recognition	recognition	NOUN
fcis-6019	14	25	method	method	NOUN
fcis-6019	14	26	based	base	VERB
fcis-6019	14	27	on	on	ADP
fcis-6019	14	28	mask	mask	NOUN
fcis-6019	14	29	region	region	NOUN
fcis-6019	14	30	repair	repair	NOUN
fcis-6019	14	31	algorithm	algorithm	NOUN
fcis-6019	14	32	.	.	PUNCT
fcis-6019	15	1	2	2	X
fcis-6019	15	2	.	.	X
fcis-6019	15	3	face	face	NOUN
fcis-6019	15	4	recognition	recognition	NOUN
fcis-6019	15	5	with	with	ADP
fcis-6019	15	6	mask	mask	NOUN
fcis-6019	15	7	occlusion	occlusion	NOUN
fcis-6019	15	8	based	base	VERB
fcis-6019	15	9	on	on	ADP
fcis-6019	15	10	occlusion	occlusion	NOUN
fcis-6019	15	11	robustness	robustness	NOUN
fcis-6019	15	12	this	this	DET
fcis-6019	15	13	kind	kind	NOUN
fcis-6019	15	14	of	of	ADP
fcis-6019	15	15	method	method	NOUN
fcis-6019	15	16	aims	aim	VERB
fcis-6019	15	17	to	to	PART
fcis-6019	15	18	help	help	VERB
fcis-6019	15	19	the	the	DET
fcis-6019	15	20	model	model	NOUN
fcis-6019	15	21	learn	learn	VERB
fcis-6019	15	22	the	the	DET
fcis-6019	15	23	face	face	NOUN
fcis-6019	15	24	features	feature	NOUN
fcis-6019	15	25	that	that	PRON
fcis-6019	15	26	are	be	AUX
fcis-6019	15	27	robust	robust	ADJ
fcis-6019	15	28	to	to	ADP
fcis-6019	15	29	occlusion	occlusion	NOUN
fcis-6019	15	30	and	and	CCONJ
fcis-6019	15	31	improve	improve	VERB
fcis-6019	15	32	the	the	DET
fcis-6019	15	33	recognition	recognition	NOUN
fcis-6019	15	34	rate	rate	NOUN
fcis-6019	15	35	of	of	ADP
fcis-6019	15	36	the	the	DET
fcis-6019	15	37	model	model	NOUN
fcis-6019	15	38	in	in	ADP
fcis-6019	15	39	occlusion	occlusion	NOUN
fcis-6019	15	40	scenes	scene	NOUN
fcis-6019	15	41	.	.	PUNCT
fcis-6019	16	1	the	the	DET
fcis-6019	16	2	occlusion	occlusion	NOUN
fcis-6019	16	3	robust	robust	ADJ
fcis-6019	16	4	learning	learning	NOUN
fcis-6019	16	5	method	method	NOUN
fcis-6019	16	6	based	base	VERB
fcis-6019	16	7	on	on	ADP
fcis-6019	16	8	attention	attention	NOUN
fcis-6019	16	9	mechanism	mechanism	NOUN
fcis-6019	16	10	helps	help	VERB
fcis-6019	16	11	the	the	DET
fcis-6019	16	12	model	model	NOUN
fcis-6019	16	13	refocus	refocus	VERB
fcis-6019	16	14	the	the	DET
fcis-6019	16	15	key	key	ADJ
fcis-6019	16	16	facial	facial	ADJ
fcis-6019	16	17	features	feature	NOUN
fcis-6019	16	18	through	through	ADP
fcis-6019	16	19	attention	attention	NOUN
fcis-6019	16	20	mechanism	mechanism	NOUN
fcis-6019	16	21	,	,	PUNCT
fcis-6019	16	22	which	which	PRON
fcis-6019	16	23	makes	make	VERB
fcis-6019	16	24	the	the	DET
fcis-6019	16	25	extracted	extract	VERB
fcis-6019	16	26	facial	facial	ADJ
fcis-6019	16	27	features	feature	NOUN
fcis-6019	16	28	have	have	VERB
fcis-6019	16	29	certain	certain	ADJ
fcis-6019	16	30	robustness	robustness	NOUN
fcis-6019	16	31	in	in	ADP
fcis-6019	16	32	the	the	DET
fcis-6019	16	33	face	face	NOUN
fcis-6019	16	34	of	of	ADP
fcis-6019	16	35	mask	mask	NOUN
fcis-6019	16	36	influence	influence	NOUN
fcis-6019	16	37	,	,	PUNCT
fcis-6019	16	38	thus	thus	ADV
fcis-6019	16	39	improving	improve	VERB
fcis-6019	16	40	the	the	DET
fcis-6019	16	41	face	face	NOUN
fcis-6019	16	42	recognition	recognition	NOUN
fcis-6019	16	43	ability	ability	NOUN
fcis-6019	16	44	of	of	ADP
fcis-6019	16	45	the	the	DET
fcis-6019	16	46	model	model	NOUN
fcis-6019	16	47	with	with	ADP
fcis-6019	16	48	mask	mask	NOUN
fcis-6019	16	49	occlusion	occlusion	NOUN
fcis-6019	16	50	.	.	PUNCT
fcis-6019	17	1	as	as	SCONJ
fcis-6019	17	2	shown	show	VERB
fcis-6019	17	3	in	in	ADP
fcis-6019	17	4	fig	fig	NOUN
fcis-6019	17	5	.	.	PUNCT
fcis-6019	18	1	1	1	NUM
fcis-6019	18	2	,	,	PUNCT
fcis-6019	18	3	in	in	ADP
fcis-6019	18	4	order	order	NOUN
fcis-6019	18	5	to	to	PART
fcis-6019	18	6	improve	improve	VERB
fcis-6019	18	7	the	the	DET
fcis-6019	18	8	representation	representation	NOUN
fcis-6019	18	9	ability	ability	NOUN
fcis-6019	18	10	of	of	ADP
fcis-6019	18	11	the	the	DET
fcis-6019	18	12	network	network	NOUN
fcis-6019	18	13	,	,	PUNCT
fcis-6019	18	14	the	the	DET
fcis-6019	18	15	document	document	NOUN
fcis-6019	18	16	[	[	X
fcis-6019	18	17	1	1	X
fcis-6019	18	18	]	]	PUNCT
fcis-6019	18	19	proposed	propose	VERB
fcis-6019	18	20	the	the	DET
fcis-6019	18	21	se	se	PROPN
fcis-6019	18	22	module	module	NOUN
fcis-6019	18	23	,	,	PUNCT
fcis-6019	18	24	which	which	PRON
fcis-6019	18	25	adaptively	adaptively	ADV
fcis-6019	18	26	calibrated	calibrate	VERB
fcis-6019	18	27	the	the	DET
fcis-6019	18	28	features	feature	NOUN
fcis-6019	18	29	by	by	ADP
fcis-6019	18	30	modeling	model	VERB
fcis-6019	18	31	the	the	DET
fcis-6019	18	32	dependencies	dependency	NOUN
fcis-6019	18	33	between	between	ADP
fcis-6019	18	34	feature	feature	NOUN
fcis-6019	18	35	channels	channel	NOUN
fcis-6019	18	36	,	,	PUNCT
fcis-6019	18	37	and	and	CCONJ
fcis-6019	18	38	significantly	significantly	ADV
fcis-6019	18	39	improved	improve	VERB
fcis-6019	18	40	the	the	DET
fcis-6019	18	41	performance	performance	NOUN
fcis-6019	18	42	of	of	ADP
fcis-6019	18	43	the	the	DET
fcis-6019	18	44	deep	deep	ADJ
fcis-6019	18	45	neural	neural	ADJ
fcis-6019	18	46	network	network	NOUN
fcis-6019	18	47	with	with	ADP
fcis-6019	18	48	very	very	ADV
fcis-6019	18	49	low	low	ADJ
fcis-6019	18	50	computational	computational	ADJ
fcis-6019	18	51	cost	cost	NOUN
fcis-6019	18	52	.	.	PUNCT
fcis-6019	19	1	the	the	DET
fcis-6019	19	2	workflow	workflow	NOUN
fcis-6019	19	3	of	of	ADP
fcis-6019	19	4	se	se	PROPN
fcis-6019	19	5	module	module	NOUN
fcis-6019	19	6	is	be	AUX
fcis-6019	19	7	divided	divide	VERB
fcis-6019	19	8	into	into	ADP
fcis-6019	19	9	two	two	NUM
fcis-6019	19	10	steps	step	NOUN
fcis-6019	19	11	:	:	PUNCT
fcis-6019	19	12	information	information	NOUN
fcis-6019	19	13	compression	compression	NOUN
fcis-6019	19	14	and	and	CCONJ
fcis-6019	19	15	weight	weight	NOUN
fcis-6019	19	16	activation	activation	NOUN
fcis-6019	19	17	.	.	PUNCT
fcis-6019	20	1	compression	compression	NOUN
fcis-6019	20	2	is	be	AUX
fcis-6019	20	3	used	use	VERB
fcis-6019	20	4	to	to	PART
fcis-6019	20	5	aggregate	aggregate	VERB
fcis-6019	20	6	global	global	ADJ
fcis-6019	20	7	airspace	airspace	NOUN
fcis-6019	20	8	information	information	NOUN
fcis-6019	20	9	and	and	CCONJ
fcis-6019	20	10	is	be	AUX
fcis-6019	20	11	realized	realize	VERB
fcis-6019	20	12	by	by	ADP
fcis-6019	20	13	global	global	ADJ
fcis-6019	20	14	average	average	ADJ
fcis-6019	20	15	pooling	pooling	NOUN
fcis-6019	20	16	.	.	PUNCT
fcis-6019	21	1	figure	figure	NOUN
fcis-6019	21	2	1	1	NUM
fcis-6019	21	3	.	.	PUNCT
fcis-6019	22	1	workflow	workflow	NOUN
fcis-6019	22	2	of	of	ADP
fcis-6019	22	3	se	se	PROPN
fcis-6019	22	4	module	module	NOUN
fcis-6019	22	5	the	the	DET
fcis-6019	22	6	basic	basic	ADJ
fcis-6019	22	7	idea	idea	NOUN
fcis-6019	22	8	of	of	ADP
fcis-6019	22	9	robust	robust	ADJ
fcis-6019	22	10	estimation	estimation	NOUN
fcis-6019	22	11	method	method	NOUN
fcis-6019	22	12	is	be	AUX
fcis-6019	22	13	to	to	PART
fcis-6019	22	14	estimate	estimate	VERB
fcis-6019	22	15	the	the	DET
fcis-6019	22	16	image	image	NOUN
fcis-6019	22	17	characteristics	characteristic	NOUN
fcis-6019	22	18	of	of	ADP
fcis-6019	22	19	the	the	DET
fcis-6019	22	20	occluded	occluded	ADJ
fcis-6019	22	21	part	part	NOUN
fcis-6019	22	22	by	by	ADP
fcis-6019	22	23	learning	learn	VERB
fcis-6019	22	24	from	from	ADP
fcis-6019	22	25	the	the	DET
fcis-6019	22	26	existing	exist	VERB
fcis-6019	22	27	unobstructed	unobstructed	ADJ
fcis-6019	22	28	samples	sample	NOUN
fcis-6019	22	29	,	,	PUNCT
fcis-6019	22	30	so	so	SCONJ
fcis-6019	22	31	it	it	PRON
fcis-6019	22	32	is	be	AUX
fcis-6019	22	33	not	not	PART
fcis-6019	22	34	affected	affect	VERB
fcis-6019	22	35	by	by	ADP
fcis-6019	22	36	the	the	DET
fcis-6019	22	37	size	size	NOUN
fcis-6019	22	38	and	and	CCONJ
fcis-6019	22	39	position	position	NOUN
fcis-6019	22	40	of	of	ADP
fcis-6019	22	41	the	the	DET
fcis-6019	22	42	occluded	occluded	ADJ
fcis-6019	22	43	area	area	NOUN
fcis-6019	22	44	,	,	PUNCT
fcis-6019	22	45	and	and	CCONJ
fcis-6019	22	46	has	have	AUX
fcis-6019	22	47	been	be	AUX
fcis-6019	22	48	deeply	deeply	ADV
fcis-6019	22	49	studied	study	VERB
fcis-6019	22	50	in	in	ADP
fcis-6019	22	51	occluded	occluded	ADJ
fcis-6019	22	52	face	face	NOUN
fcis-6019	22	53	recognition	recognition	NOUN
fcis-6019	22	54	.	.	PUNCT
fcis-6019	23	1	reference	reference	NOUN
fcis-6019	23	2	[	[	X
fcis-6019	23	3	2	2	X
fcis-6019	23	4	]	]	PUNCT
fcis-6019	23	5	proposes	propose	VERB
fcis-6019	23	6	to	to	PART
fcis-6019	23	7	estimate	estimate	VERB
fcis-6019	23	8	the	the	DET
fcis-6019	23	9	error	error	NOUN
fcis-6019	23	10	distribution	distribution	NOUN
fcis-6019	23	11	adaptively	adaptively	ADV
fcis-6019	23	12	,	,	PUNCT
fcis-6019	23	13	and	and	CCONJ
fcis-6019	23	14	use	use	VERB
fcis-6019	23	15	semi	semi	ADJ
fcis-6019	23	16	-	-	ADJ
fcis-6019	23	17	quadratic	quadratic	ADJ
fcis-6019	23	18	optimization	optimization	NOUN
fcis-6019	23	19	method	method	NOUN
fcis-6019	23	20	to	to	PART
fcis-6019	23	21	get	get	VERB
fcis-6019	23	22	the	the	DET
fcis-6019	23	23	principal	principal	ADJ
fcis-6019	23	24	component	component	NOUN
fcis-6019	23	25	by	by	ADP
fcis-6019	23	26	iterative	iterative	NOUN
fcis-6019	23	27	weighted	weight	VERB
fcis-6019	23	28	least	least	ADJ
fcis-6019	23	29	squares	square	NOUN
fcis-6019	23	30	solution	solution	NOUN
fcis-6019	23	31	.	.	PUNCT
fcis-6019	24	1	literature	literature	NOUN
fcis-6019	24	2	[	[	X
fcis-6019	24	3	3	3	X
fcis-6019	24	4	]	]	PUNCT
fcis-6019	24	5	proposes	propose	VERB
fcis-6019	24	6	a	a	DET
fcis-6019	24	7	new	new	ADJ
fcis-6019	24	8	robust	robust	ADJ
fcis-6019	24	9	principal	principal	ADJ
fcis-6019	24	10	component	component	NOUN
fcis-6019	24	11	analysis	analysis	NOUN
fcis-6019	24	12	method	method	NOUN
fcis-6019	24	13	based	base	VERB
fcis-6019	24	14	on	on	ADP
fcis-6019	24	15	low	low	ADJ
fcis-6019	24	16	-	-	PUNCT
fcis-6019	24	17	rank	rank	NOUN
fcis-6019	24	18	constraints	constraint	NOUN
fcis-6019	24	19	,	,	PUNCT
fcis-6019	24	20	which	which	PRON
fcis-6019	24	21	is	be	AUX
fcis-6019	24	22	modeled	model	VERB
fcis-6019	24	23	as	as	ADP
fcis-6019	24	24	a	a	DET
fcis-6019	24	25	low	low	ADJ
fcis-6019	24	26	-	-	PUNCT
fcis-6019	24	27	rank	rank	NOUN
fcis-6019	24	28	part	part	NOUN
fcis-6019	24	29	plus	plus	CCONJ
fcis-6019	24	30	sparse	sparse	ADJ
fcis-6019	24	31	noise	noise	NOUN
fcis-6019	24	32	part	part	NOUN
fcis-6019	24	33	.	.	PUNCT
fcis-6019	25	1	in	in	ADP
fcis-6019	25	2	this	this	DET
fcis-6019	25	3	method	method	NOUN
fcis-6019	25	4	,	,	PUNCT
fcis-6019	25	5	occluded	occlude	VERB
fcis-6019	25	6	face	face	NOUN
fcis-6019	25	7	images	image	NOUN
fcis-6019	25	8	are	be	AUX
fcis-6019	25	9	allowed	allow	VERB
fcis-6019	25	10	in	in	ADP
fcis-6019	25	11	the	the	DET
fcis-6019	25	12	training	training	NOUN
fcis-6019	25	13	set	set	NOUN
fcis-6019	25	14	.	.	PUNCT
fcis-6019	26	1	however	however	ADV
fcis-6019	26	2	,	,	PUNCT
fcis-6019	26	3	this	this	DET
fcis-6019	26	4	method	method	NOUN
fcis-6019	26	5	removes	remove	VERB
fcis-6019	26	6	the	the	DET
fcis-6019	26	7	occlusion	occlusion	NOUN
fcis-6019	26	8	and	and	CCONJ
fcis-6019	26	9	other	other	ADJ
fcis-6019	26	10	discriminant	discriminant	ADJ
fcis-6019	26	11	information	information	NOUN
fcis-6019	26	12	as	as	ADP
fcis-6019	26	13	noise	noise	NOUN
fcis-6019	26	14	at	at	ADP
fcis-6019	26	15	the	the	DET
fcis-6019	26	16	same	same	ADJ
fcis-6019	26	17	time	time	NOUN
fcis-6019	26	18	.	.	PUNCT
fcis-6019	27	1	literature	literature	NOUN
fcis-6019	28	1	[	[	X
fcis-6019	28	2	4	4	X
fcis-6019	28	3	]	]	PUNCT
fcis-6019	28	4	proposed	propose	VERB
fcis-6019	28	5	a	a	DET
fcis-6019	28	6	foreground	foreground	NOUN
fcis-6019	28	7	-	-	PUNCT
fcis-6019	28	8	aware	aware	ADJ
fcis-6019	28	9	image	image	NOUN
fcis-6019	28	10	inpainting	inpainte	VERB
fcis-6019	28	11	algorithm	algorithm	NOUN
fcis-6019	28	12	,	,	PUNCT
fcis-6019	28	13	which	which	PRON
fcis-6019	28	14	obtained	obtain	VERB
fcis-6019	28	15	the	the	DET
fcis-6019	28	16	foreground	foreground	NOUN
fcis-6019	28	17	contour	contour	NOUN
fcis-6019	28	18	of	of	ADP
fcis-6019	28	19	the	the	DET
fcis-6019	28	20	damaged	damage	VERB
fcis-6019	28	21	image	image	NOUN
fcis-6019	28	22	through	through	ADP
fcis-6019	28	23	the	the	DET
fcis-6019	28	24	contour	contour	NOUN
fcis-6019	28	25	detection	detection	NOUN
fcis-6019	28	26	module	module	NOUN
fcis-6019	28	27	,	,	PUNCT
fcis-6019	28	28	then	then	ADV
fcis-6019	28	29	predicted	predict	VERB
fcis-6019	28	30	the	the	DET
fcis-6019	28	31	complete	complete	ADJ
fcis-6019	28	32	foreground	foreground	NOUN
fcis-6019	28	33	contour	contour	NOUN
fcis-6019	28	34	of	of	ADP
fcis-6019	28	35	the	the	DET
fcis-6019	28	36	image	image	NOUN
fcis-6019	28	37	by	by	ADP
fcis-6019	28	38	the	the	DET
fcis-6019	28	39	contour	contour	NOUN
fcis-6019	28	40	completion	completion	NOUN
fcis-6019	28	41	module	module	NOUN
fcis-6019	28	42	,	,	PUNCT
fcis-6019	28	43	and	and	CCONJ
fcis-6019	28	44	finally	finally	ADV
fcis-6019	28	45	predicted	predict	VERB
fcis-6019	28	46	the	the	DET
fcis-6019	28	47	final	final	ADJ
fcis-6019	28	48	image	image	NOUN
fcis-6019	28	49	by	by	ADP
fcis-6019	28	50	the	the	DET
fcis-6019	28	51	image	image	NOUN
fcis-6019	28	52	completion	completion	NOUN
fcis-6019	28	53	module	module	NOUN
fcis-6019	28	54	according	accord	VERB
fcis-6019	28	55	to	to	ADP
fcis-6019	28	56	the	the	DET
fcis-6019	28	57	completed	complete	VERB
fcis-6019	28	58	contour	contour	NOUN
fcis-6019	28	59	and	and	CCONJ
fcis-6019	28	60	the	the	DET
fcis-6019	28	61	damaged	damage	VERB
fcis-6019	28	62	image	image	NOUN
fcis-6019	28	63	.	.	PUNCT
fcis-6019	29	1	this	this	DET
fcis-6019	29	2	method	method	NOUN
fcis-6019	29	3	was	be	AUX
fcis-6019	29	4	also	also	ADV
fcis-6019	29	5	an	an	DET
fcis-6019	29	6	advanced	advanced	ADJ
fcis-6019	29	7	technology	technology	NOUN
fcis-6019	29	8	at	at	ADP
fcis-6019	29	9	that	that	DET
fcis-6019	29	10	time	time	NOUN
fcis-6019	29	11	.	.	PUNCT
fcis-6019	30	1	generally	generally	ADV
fcis-6019	30	2	speaking	speak	VERB
fcis-6019	30	3	,	,	PUNCT
fcis-6019	30	4	face	face	NOUN
fcis-6019	30	5	recognition	recognition	NOUN
fcis-6019	30	6	is	be	AUX
fcis-6019	30	7	mainly	mainly	ADV
fcis-6019	30	8	divided	divide	VERB
fcis-6019	30	9	into	into	ADP
fcis-6019	30	10	three	three	NUM
fcis-6019	30	11	stages	stage	NOUN
fcis-6019	30	12	:	:	PUNCT
fcis-6019	30	13	face	face	VERB
fcis-6019	30	14	image	image	NOUN
fcis-6019	30	15	preprocessing	preprocessing	NOUN
fcis-6019	30	16	,	,	PUNCT
fcis-6019	30	17	face	face	VERB
fcis-6019	30	18	image	image	NOUN
fcis-6019	30	19	feature	feature	NOUN
fcis-6019	30	20	extraction	extraction	NOUN
fcis-6019	30	21	and	and	CCONJ
fcis-6019	30	22	classification	classification	NOUN
fcis-6019	30	23	judgment	judgment	NOUN
fcis-6019	30	24	.	.	PUNCT
fcis-6019	31	1	for	for	ADP
fcis-6019	31	2	two	two	NUM
fcis-6019	31	3	-	-	PUNCT
fcis-6019	31	4	dimensional	dimensional	ADJ
fcis-6019	31	5	images	image	NOUN
fcis-6019	31	6	,	,	PUNCT
fcis-6019	31	7	wavelet	wavelet	NOUN
fcis-6019	31	8	transform	transform	NOUN
fcis-6019	31	9	can	can	AUX
fcis-6019	31	10	simultaneously	simultaneously	ADV
fcis-6019	31	11	extract	extract	VERB
fcis-6019	31	12	the	the	DET
fcis-6019	31	13	features	feature	NOUN
fcis-6019	31	14	of	of	ADP
fcis-6019	31	15	images	image	NOUN
fcis-6019	31	16	in	in	ADP
fcis-6019	31	17	spatial	spatial	ADJ
fcis-6019	31	18	domain	domain	NOUN
fcis-6019	31	19	and	and	CCONJ
fcis-6019	31	20	frequency	frequency	NOUN
fcis-6019	31	21	domain	domain	NOUN
fcis-6019	31	22	,	,	PUNCT
fcis-6019	31	23	27	27	NUM
fcis-6019	31	24	which	which	PRON
fcis-6019	31	25	provides	provide	VERB
fcis-6019	31	26	a	a	DET
fcis-6019	31	27	powerful	powerful	ADJ
fcis-6019	31	28	tool	tool	NOUN
fcis-6019	31	29	for	for	ADP
fcis-6019	31	30	image	image	NOUN
fcis-6019	31	31	feature	feature	NOUN
fcis-6019	31	32	extraction	extraction	NOUN
fcis-6019	31	33	and	and	CCONJ
fcis-6019	31	34	expression	expression	NOUN
fcis-6019	31	35	.	.	PUNCT
fcis-6019	32	1	in	in	ADP
fcis-6019	32	2	reference	reference	NOUN
fcis-6019	32	3	[	[	X
fcis-6019	32	4	5	5	NUM
fcis-6019	32	5	]	]	PUNCT
fcis-6019	32	6	,	,	PUNCT
fcis-6019	32	7	the	the	DET
fcis-6019	32	8	author	author	NOUN
fcis-6019	32	9	introduced	introduce	VERB
fcis-6019	32	10	the	the	DET
fcis-6019	32	11	denoising	denoising	NOUN
fcis-6019	32	12	model	model	NOUN
fcis-6019	32	13	of	of	ADP
fcis-6019	32	14	wavelet	wavelet	NOUN
fcis-6019	32	15	transform	transform	NOUN
fcis-6019	32	16	into	into	ADP
fcis-6019	32	17	face	face	NOUN
fcis-6019	32	18	recognition	recognition	NOUN
fcis-6019	32	19	,	,	PUNCT
fcis-6019	32	20	modeled	model	VERB
fcis-6019	32	21	the	the	DET
fcis-6019	32	22	illumination	illumination	NOUN
fcis-6019	32	23	change	change	NOUN
fcis-6019	32	24	as	as	ADP
fcis-6019	32	25	a	a	DET
fcis-6019	32	26	low	low	ADJ
fcis-6019	32	27	-	-	PUNCT
fcis-6019	32	28	frequency	frequency	NOUN
fcis-6019	32	29	component	component	NOUN
fcis-6019	32	30	,	,	PUNCT
fcis-6019	32	31	and	and	CCONJ
fcis-6019	32	32	thought	think	VERB
fcis-6019	32	33	that	that	SCONJ
fcis-6019	32	34	the	the	DET
fcis-6019	32	35	internal	internal	ADJ
fcis-6019	32	36	feature	feature	NOUN
fcis-6019	32	37	of	of	ADP
fcis-6019	32	38	face	face	NOUN
fcis-6019	32	39	was	be	AUX
fcis-6019	32	40	a	a	DET
fcis-6019	32	41	high	high	ADJ
fcis-6019	32	42	-	-	PUNCT
fcis-6019	32	43	frequency	frequency	NOUN
fcis-6019	32	44	component	component	NOUN
fcis-6019	32	45	.	.	PUNCT
fcis-6019	33	1	after	after	ADP
fcis-6019	33	2	removing	remove	VERB
fcis-6019	33	3	the	the	DET
fcis-6019	33	4	lowfrequency	lowfrequency	NOUN
fcis-6019	33	5	component	component	NOUN
fcis-6019	33	6	by	by	ADP
fcis-6019	33	7	wavelet	wavelet	NOUN
fcis-6019	33	8	transform	transform	NOUN
fcis-6019	33	9	,	,	PUNCT
fcis-6019	33	10	the	the	DET
fcis-6019	33	11	feature	feature	NOUN
fcis-6019	33	12	expression	expression	NOUN
fcis-6019	33	13	of	of	ADP
fcis-6019	33	14	face	face	NOUN
fcis-6019	33	15	image	image	NOUN
fcis-6019	33	16	was	be	AUX
fcis-6019	33	17	obtained	obtain	VERB
fcis-6019	33	18	.	.	PUNCT
fcis-6019	34	1	experiments	experiment	NOUN
fcis-6019	34	2	show	show	VERB
fcis-6019	34	3	that	that	SCONJ
fcis-6019	34	4	this	this	DET
fcis-6019	34	5	processing	processing	NOUN
fcis-6019	34	6	method	method	NOUN
fcis-6019	34	7	has	have	VERB
fcis-6019	34	8	a	a	DET
fcis-6019	34	9	good	good	ADJ
fcis-6019	34	10	performance	performance	NOUN
fcis-6019	34	11	for	for	ADP
fcis-6019	34	12	face	face	NOUN
fcis-6019	34	13	recognition	recognition	NOUN
fcis-6019	34	14	under	under	ADP
fcis-6019	34	15	illumination	illumination	NOUN
fcis-6019	34	16	change	change	NOUN
fcis-6019	34	17	.	.	PUNCT
fcis-6019	35	1	in	in	ADP
fcis-6019	35	2	reference	reference	NOUN
fcis-6019	35	3	[	[	X
fcis-6019	35	4	6	6	NUM
fcis-6019	35	5	]	]	PUNCT
fcis-6019	35	6	,	,	PUNCT
fcis-6019	35	7	the	the	DET
fcis-6019	35	8	author	author	NOUN
fcis-6019	35	9	uses	use	VERB
fcis-6019	35	10	wavelet	wavelet	NOUN
fcis-6019	35	11	transform	transform	NOUN
fcis-6019	35	12	to	to	PART
fcis-6019	35	13	analyze	analyze	VERB
fcis-6019	35	14	the	the	DET
fcis-6019	35	15	face	face	NOUN
fcis-6019	35	16	image	image	NOUN
fcis-6019	35	17	with	with	ADP
fcis-6019	35	18	multi	multi	NOUN
fcis-6019	35	19	-	-	NOUN
fcis-6019	35	20	resolution	resolution	NOUN
fcis-6019	35	21	,	,	PUNCT
fcis-6019	35	22	so	so	SCONJ
fcis-6019	35	23	as	as	SCONJ
fcis-6019	35	24	to	to	PART
fcis-6019	35	25	find	find	VERB
fcis-6019	35	26	wavelet	wavelet	NOUN
fcis-6019	35	27	subbands	subband	NOUN
fcis-6019	35	28	insensitive	insensitive	ADJ
fcis-6019	35	29	to	to	ADP
fcis-6019	35	30	expression	expression	NOUN
fcis-6019	35	31	and	and	CCONJ
fcis-6019	35	32	illumination	illumination	NOUN
fcis-6019	35	33	changes	change	NOUN
fcis-6019	35	34	,	,	PUNCT
fcis-6019	35	35	and	and	CCONJ
fcis-6019	35	36	then	then	ADV
fcis-6019	35	37	fuses	fuse	VERB
fcis-6019	35	38	the	the	DET
fcis-6019	35	39	wavelet	wavelet	NOUN
fcis-6019	35	40	subband	subband	PROPN
fcis-6019	35	41	features	feature	NOUN
fcis-6019	35	42	or	or	CCONJ
fcis-6019	35	43	discriminant	discriminant	ADJ
fcis-6019	35	44	results	result	NOUN
fcis-6019	35	45	of	of	ADP
fcis-6019	35	46	the	the	DET
fcis-6019	35	47	extracted	extract	VERB
fcis-6019	35	48	face	face	NOUN
fcis-6019	35	49	image	image	NOUN
fcis-6019	35	50	to	to	PART
fcis-6019	35	51	get	get	VERB
fcis-6019	35	52	the	the	DET
fcis-6019	35	53	final	final	ADJ
fcis-6019	35	54	discriminant	discriminant	NOUN
fcis-6019	35	55	classification	classification	NOUN
fcis-6019	35	56	result	result	NOUN
fcis-6019	35	57	,	,	PUNCT
fcis-6019	35	58	thus	thus	ADV
fcis-6019	35	59	further	far	ADV
fcis-6019	35	60	improving	improve	VERB
fcis-6019	35	61	the	the	DET
fcis-6019	35	62	correct	correct	ADJ
fcis-6019	35	63	rate	rate	NOUN
fcis-6019	35	64	of	of	ADP
fcis-6019	35	65	face	face	NOUN
fcis-6019	35	66	recognition	recognition	NOUN
fcis-6019	35	67	,	,	PUNCT
fcis-6019	35	68	especially	especially	ADV
fcis-6019	35	69	in	in	ADP
fcis-6019	35	70	the	the	DET
fcis-6019	35	71	case	case	NOUN
fcis-6019	35	72	of	of	ADP
fcis-6019	35	73	illumination	illumination	NOUN
fcis-6019	35	74	changes	change	NOUN
fcis-6019	35	75	.	.	PUNCT
fcis-6019	36	1	3	3	X
fcis-6019	36	2	.	.	X
fcis-6019	36	3	face	face	NOUN
fcis-6019	36	4	recognition	recognition	NOUN
fcis-6019	36	5	with	with	ADP
fcis-6019	36	6	mask	mask	NOUN
fcis-6019	36	7	occlusion	occlusion	NOUN
fcis-6019	36	8	based	base	VERB
fcis-6019	36	9	on	on	ADP
fcis-6019	36	10	sparse	sparse	ADJ
fcis-6019	36	11	representation	representation	NOUN
fcis-6019	36	12	classification	classification	NOUN
fcis-6019	36	13	in	in	ADP
fcis-6019	36	14	the	the	DET
fcis-6019	36	15	process	process	NOUN
fcis-6019	36	16	of	of	ADP
fcis-6019	36	17	face	face	NOUN
fcis-6019	36	18	recognition	recognition	NOUN
fcis-6019	36	19	,	,	PUNCT
fcis-6019	36	20	how	how	SCONJ
fcis-6019	36	21	to	to	PART
fcis-6019	36	22	effectively	effectively	ADV
fcis-6019	36	23	extract	extract	VERB
fcis-6019	36	24	and	and	CCONJ
fcis-6019	36	25	describe	describe	VERB
fcis-6019	36	26	the	the	DET
fcis-6019	36	27	features	feature	NOUN
fcis-6019	36	28	of	of	ADP
fcis-6019	36	29	each	each	DET
fcis-6019	36	30	person	person	NOUN
fcis-6019	36	31	's	's	PART
fcis-6019	36	32	face	face	NOUN
fcis-6019	36	33	image	image	NOUN
fcis-6019	36	34	to	to	PART
fcis-6019	36	35	distinguish	distinguish	VERB
fcis-6019	36	36	it	it	PRON
fcis-6019	36	37	from	from	ADP
fcis-6019	36	38	others	other	NOUN
fcis-6019	36	39	is	be	AUX
fcis-6019	36	40	one	one	NUM
fcis-6019	36	41	of	of	ADP
fcis-6019	36	42	the	the	DET
fcis-6019	36	43	key	key	ADJ
fcis-6019	36	44	issues	issue	NOUN
fcis-6019	36	45	in	in	ADP
fcis-6019	36	46	related	related	ADJ
fcis-6019	36	47	research	research	NOUN
fcis-6019	36	48	.	.	PUNCT
fcis-6019	37	1	however	however	ADV
fcis-6019	37	2	,	,	PUNCT
fcis-6019	37	3	the	the	DET
fcis-6019	37	4	personalized	personalized	ADJ
fcis-6019	37	5	features	feature	NOUN
fcis-6019	37	6	of	of	ADP
fcis-6019	37	7	human	human	ADJ
fcis-6019	37	8	face	face	NOUN
fcis-6019	37	9	are	be	AUX
fcis-6019	37	10	largely	largely	ADV
fcis-6019	37	11	restricted	restrict	VERB
fcis-6019	37	12	by	by	ADP
fcis-6019	37	13	the	the	DET
fcis-6019	37	14	changes	change	NOUN
fcis-6019	37	15	of	of	ADP
fcis-6019	37	16	expression	expression	NOUN
fcis-6019	37	17	,	,	PUNCT
fcis-6019	37	18	posture	posture	NOUN
fcis-6019	37	19	,	,	PUNCT
fcis-6019	37	20	illumination	illumination	NOUN
fcis-6019	37	21	and	and	CCONJ
fcis-6019	37	22	distance	distance	NOUN
fcis-6019	37	23	.	.	PUNCT
fcis-6019	38	1	therefore	therefore	ADV
fcis-6019	38	2	,	,	PUNCT
fcis-6019	38	3	it	it	PRON
fcis-6019	38	4	is	be	AUX
fcis-6019	38	5	the	the	DET
fcis-6019	38	6	goal	goal	NOUN
fcis-6019	38	7	pursued	pursue	VERB
fcis-6019	38	8	by	by	ADP
fcis-6019	38	9	researchers	researcher	NOUN
fcis-6019	38	10	to	to	PART
fcis-6019	38	11	establish	establish	VERB
fcis-6019	38	12	a	a	DET
fcis-6019	38	13	stable	stable	ADJ
fcis-6019	38	14	and	and	CCONJ
fcis-6019	38	15	quotient	quotient	VERB
fcis-6019	38	16	robust	robust	ADJ
fcis-6019	38	17	face	face	NOUN
fcis-6019	38	18	recognition	recognition	NOUN
fcis-6019	38	19	algorithm	algorithm	NOUN
fcis-6019	38	20	.	.	PUNCT
fcis-6019	39	1	although	although	SCONJ
fcis-6019	39	2	the	the	DET
fcis-6019	39	3	face	face	NOUN
fcis-6019	39	4	image	image	NOUN
fcis-6019	39	5	has	have	VERB
fcis-6019	39	6	a	a	DET
fcis-6019	39	7	high	high	ADJ
fcis-6019	39	8	dimension	dimension	NOUN
fcis-6019	39	9	,	,	PUNCT
fcis-6019	39	10	it	it	PRON
fcis-6019	39	11	may	may	AUX
fcis-6019	39	12	be	be	AUX
fcis-6019	39	13	located	locate	VERB
fcis-6019	39	14	in	in	ADP
fcis-6019	39	15	a	a	DET
fcis-6019	39	16	low	low	ADJ
fcis-6019	39	17	-	-	PUNCT
fcis-6019	39	18	dimensional	dimensional	ADJ
fcis-6019	39	19	subspace	subspace	NOUN
fcis-6019	39	20	or	or	CCONJ
fcis-6019	39	21	manifold	manifold	ADJ
fcis-6019	39	22	.	.	PUNCT
fcis-6019	40	1	therefore	therefore	ADV
fcis-6019	40	2	,	,	PUNCT
fcis-6019	40	3	scholars	scholar	NOUN
fcis-6019	40	4	at	at	ADP
fcis-6019	40	5	home	home	ADV
fcis-6019	40	6	and	and	CCONJ
fcis-6019	40	7	abroad	abroad	ADV
fcis-6019	40	8	have	have	AUX
fcis-6019	40	9	put	put	VERB
fcis-6019	40	10	forward	forward	ADV
fcis-6019	40	11	many	many	ADJ
fcis-6019	40	12	subspace	subspace	NOUN
fcis-6019	40	13	learning	learn	VERB
fcis-6019	40	14	methods	method	NOUN
fcis-6019	40	15	to	to	PART
fcis-6019	40	16	extract	extract	VERB
fcis-6019	40	17	the	the	DET
fcis-6019	40	18	features	feature	NOUN
fcis-6019	40	19	of	of	ADP
fcis-6019	40	20	face	face	NOUN
fcis-6019	40	21	images	image	NOUN
fcis-6019	40	22	,	,	PUNCT
fcis-6019	40	23	and	and	CCONJ
fcis-6019	40	24	use	use	VERB
fcis-6019	40	25	nearest	near	ADJ
fcis-6019	40	26	neighbor	neighbor	NOUN
fcis-6019	40	27	classifier	classifier	NOUN
fcis-6019	40	28	or	or	CCONJ
fcis-6019	40	29	support	support	VERB
fcis-6019	40	30	vector	vector	NOUN
fcis-6019	40	31	machine	machine	NOUN
fcis-6019	40	32	to	to	PART
fcis-6019	40	33	recognize	recognize	VERB
fcis-6019	40	34	face	face	NOUN
fcis-6019	40	35	images	image	NOUN
fcis-6019	40	36	[	[	X
fcis-6019	40	37	7	7	NUM
fcis-6019	40	38	]	]	PUNCT
fcis-6019	40	39	.	.	PUNCT
fcis-6019	41	1	sparse	sparse	ADJ
fcis-6019	41	2	representation	representation	NOUN
fcis-6019	41	3	is	be	AUX
fcis-6019	41	4	applied	apply	VERB
fcis-6019	41	5	to	to	ADP
fcis-6019	41	6	the	the	DET
fcis-6019	41	7	field	field	NOUN
fcis-6019	41	8	of	of	ADP
fcis-6019	41	9	face	face	NOUN
fcis-6019	41	10	recognition	recognition	NOUN
fcis-6019	41	11	,	,	PUNCT
fcis-6019	41	12	and	and	CCONJ
fcis-6019	41	13	good	good	ADJ
fcis-6019	41	14	recognition	recognition	NOUN
fcis-6019	41	15	results	result	NOUN
fcis-6019	41	16	are	be	AUX
fcis-6019	41	17	obtained	obtain	VERB
fcis-6019	41	18	when	when	SCONJ
fcis-6019	41	19	the	the	DET
fcis-6019	41	20	face	face	NOUN
fcis-6019	41	21	image	image	NOUN
fcis-6019	41	22	is	be	AUX
fcis-6019	41	23	polluted	pollute	VERB
fcis-6019	41	24	by	by	ADP
fcis-6019	41	25	noise	noise	NOUN
fcis-6019	41	26	or	or	CCONJ
fcis-6019	41	27	partially	partially	ADV
fcis-6019	41	28	occluded	occlude	VERB
fcis-6019	41	29	.	.	PUNCT
fcis-6019	42	1	since	since	SCONJ
fcis-6019	42	2	then	then	ADV
fcis-6019	42	3	,	,	PUNCT
fcis-6019	42	4	face	face	VERB
fcis-6019	42	5	recognition	recognition	NOUN
fcis-6019	42	6	methods	method	NOUN
fcis-6019	42	7	based	base	VERB
fcis-6019	42	8	on	on	ADP
fcis-6019	42	9	sparse	sparse	ADJ
fcis-6019	42	10	representation	representation	NOUN
fcis-6019	42	11	of	of	ADP
fcis-6019	42	12	images	image	NOUN
fcis-6019	42	13	have	have	AUX
fcis-6019	42	14	attracted	attract	VERB
fcis-6019	42	15	much	much	ADJ
fcis-6019	42	16	attention	attention	NOUN
fcis-6019	42	17	.	.	PUNCT
fcis-6019	43	1	sparse	sparse	ADJ
fcis-6019	43	2	representation	representation	NOUN
fcis-6019	43	3	represents	represent	VERB
fcis-6019	43	4	images	image	NOUN
fcis-6019	43	5	linearly	linearly	ADV
fcis-6019	43	6	by	by	ADP
fcis-6019	43	7	constructing	construct	VERB
fcis-6019	43	8	or	or	CCONJ
fcis-6019	43	9	learning	learn	VERB
fcis-6019	43	10	a	a	DET
fcis-6019	43	11	complete	complete	ADJ
fcis-6019	43	12	dictionary	dictionary	NOUN
fcis-6019	43	13	.	.	PUNCT
fcis-6019	44	1	it	it	PRON
fcis-6019	44	2	uses	use	VERB
fcis-6019	44	3	less	less	ADJ
fcis-6019	44	4	data	datum	NOUN
fcis-6019	44	5	to	to	PART
fcis-6019	44	6	describe	describe	VERB
fcis-6019	44	7	the	the	DET
fcis-6019	44	8	characteristic	characteristic	ADJ
fcis-6019	44	9	information	information	NOUN
fcis-6019	44	10	of	of	ADP
fcis-6019	44	11	the	the	DET
fcis-6019	44	12	object	object	NOUN
fcis-6019	44	13	of	of	ADP
fcis-6019	44	14	interest	interest	NOUN
fcis-6019	44	15	.	.	PUNCT
fcis-6019	45	1	it	it	PRON
fcis-6019	45	2	is	be	AUX
fcis-6019	45	3	a	a	DET
fcis-6019	45	4	concise	concise	ADJ
fcis-6019	45	5	and	and	CCONJ
fcis-6019	45	6	efficient	efficient	ADJ
fcis-6019	45	7	image	image	NOUN
fcis-6019	45	8	representation	representation	NOUN
fcis-6019	45	9	method	method	NOUN
fcis-6019	45	10	and	and	CCONJ
fcis-6019	45	11	provides	provide	VERB
fcis-6019	45	12	a	a	DET
fcis-6019	45	13	good	good	ADJ
fcis-6019	45	14	solution	solution	NOUN
fcis-6019	45	15	for	for	ADP
fcis-6019	45	16	dealing	deal	VERB
fcis-6019	45	17	with	with	ADP
fcis-6019	45	18	external	external	ADJ
fcis-6019	45	19	interference	interference	NOUN
fcis-6019	45	20	factors	factor	NOUN
fcis-6019	45	21	such	such	ADJ
fcis-6019	45	22	as	as	ADP
fcis-6019	45	23	illumination	illumination	NOUN
fcis-6019	45	24	,	,	PUNCT
fcis-6019	45	25	occlusion	occlusion	NOUN
fcis-6019	45	26	,	,	PUNCT
fcis-6019	45	27	noise	noise	NOUN
fcis-6019	45	28	,	,	PUNCT
fcis-6019	45	29	corrosion	corrosion	NOUN
fcis-6019	45	30	and	and	CCONJ
fcis-6019	45	31	misalignment	misalignment	NOUN
fcis-6019	45	32	.	.	PUNCT
fcis-6019	46	1	the	the	DET
fcis-6019	46	2	flow	flow	NOUN
fcis-6019	46	3	of	of	ADP
fcis-6019	46	4	face	face	NOUN
fcis-6019	46	5	recognition	recognition	NOUN
fcis-6019	46	6	method	method	NOUN
fcis-6019	46	7	based	base	VERB
fcis-6019	46	8	on	on	ADP
fcis-6019	46	9	sparse	sparse	ADJ
fcis-6019	46	10	representation	representation	NOUN
fcis-6019	46	11	is	be	AUX
fcis-6019	46	12	shown	show	VERB
fcis-6019	46	13	in	in	ADP
fcis-6019	46	14	figure	figure	NOUN
fcis-6019	46	15	2	2	NUM
fcis-6019	46	16	.	.	PUNCT
fcis-6019	46	17	sparse	sparse	ADJ
fcis-6019	46	18	representation	representation	NOUN
fcis-6019	46	19	expands	expand	VERB
fcis-6019	46	20	a	a	DET
fcis-6019	46	21	new	new	ADJ
fcis-6019	46	22	direction	direction	NOUN
fcis-6019	46	23	of	of	ADP
fcis-6019	46	24	image	image	NOUN
fcis-6019	46	25	representation	representation	NOUN
fcis-6019	46	26	.	.	PUNCT
fcis-6019	47	1	its	its	PRON
fcis-6019	47	2	basic	basic	ADJ
fcis-6019	47	3	idea	idea	NOUN
fcis-6019	47	4	is	be	AUX
fcis-6019	47	5	:	:	PUNCT
fcis-6019	47	6	to	to	PART
fcis-6019	47	7	use	use	VERB
fcis-6019	47	8	the	the	DET
fcis-6019	47	9	sparsity	sparsity	NOUN
fcis-6019	47	10	of	of	ADP
fcis-6019	47	11	an	an	DET
fcis-6019	47	12	image	image	NOUN
fcis-6019	47	13	to	to	PART
fcis-6019	47	14	build	build	VERB
fcis-6019	47	15	a	a	DET
fcis-6019	47	16	mathematical	mathematical	ADJ
fcis-6019	47	17	model	model	NOUN
fcis-6019	47	18	,	,	PUNCT
fcis-6019	47	19	and	and	CCONJ
fcis-6019	47	20	to	to	PART
fcis-6019	47	21	reflect	reflect	VERB
fcis-6019	47	22	the	the	DET
fcis-6019	47	23	internal	internal	ADJ
fcis-6019	47	24	structure	structure	NOUN
fcis-6019	47	25	and	and	CCONJ
fcis-6019	47	26	essential	essential	ADJ
fcis-6019	47	27	genus	genus	NOUN
fcis-6019	47	28	of	of	ADP
fcis-6019	47	29	an	an	DET
fcis-6019	47	30	image	image	NOUN
fcis-6019	47	31	through	through	ADP
fcis-6019	47	32	a	a	DET
fcis-6019	47	33	small	small	ADJ
fcis-6019	47	34	number	number	NOUN
fcis-6019	47	35	of	of	ADP
fcis-6019	47	36	non	non	ADJ
fcis-6019	47	37	-	-	ADJ
fcis-6019	47	38	zero	zero	NUM
fcis-6019	47	39	representation	representation	NOUN
fcis-6019	47	40	coefficients	coefficient	NOUN
fcis-6019	47	41	,	,	PUNCT
fcis-6019	47	42	so	so	SCONJ
fcis-6019	47	43	as	as	SCONJ
fcis-6019	47	44	to	to	PART
fcis-6019	47	45	obtain	obtain	VERB
fcis-6019	47	46	the	the	DET
fcis-6019	47	47	most	most	ADV
fcis-6019	47	48	concise	concise	ADJ
fcis-6019	47	49	expression	expression	NOUN
fcis-6019	47	50	of	of	ADP
fcis-6019	47	51	an	an	DET
fcis-6019	47	52	image	image	NOUN
fcis-6019	47	53	in	in	ADP
fcis-6019	47	54	an	an	DET
fcis-6019	47	55	overcomplete	overcomplete	ADJ
fcis-6019	47	56	dictionary	dictionary	NOUN
fcis-6019	47	57	.	.	PUNCT
fcis-6019	48	1	a	a	DET
fcis-6019	48	2	typical	typical	ADJ
fcis-6019	48	3	application	application	NOUN
fcis-6019	48	4	of	of	ADP
fcis-6019	48	5	sparse	sparse	ADJ
fcis-6019	48	6	representation	representation	NOUN
fcis-6019	48	7	in	in	ADP
fcis-6019	48	8	face	face	NOUN
fcis-6019	48	9	recognition	recognition	NOUN
fcis-6019	48	10	field	field	NOUN
fcis-6019	48	11	is	be	AUX
fcis-6019	48	12	classification	classification	NOUN
fcis-6019	48	13	based	base	VERB
fcis-6019	48	14	on	on	ADP
fcis-6019	48	15	sparse	sparse	ADJ
fcis-6019	48	16	representation	representation	NOUN
fcis-6019	48	17	.	.	PUNCT
fcis-6019	49	1	using	use	VERB
fcis-6019	49	2	sparse	sparse	ADJ
fcis-6019	49	3	representation	representation	NOUN
fcis-6019	49	4	theory	theory	NOUN
fcis-6019	49	5	to	to	PART
fcis-6019	49	6	deal	deal	VERB
fcis-6019	49	7	with	with	ADP
fcis-6019	49	8	the	the	DET
fcis-6019	49	9	problem	problem	NOUN
fcis-6019	49	10	of	of	ADP
fcis-6019	49	11	face	face	NOUN
fcis-6019	49	12	recognition	recognition	NOUN
fcis-6019	49	13	,	,	PUNCT
fcis-6019	49	14	a	a	DET
fcis-6019	49	15	classification	classification	NOUN
fcis-6019	49	16	method	method	NOUN
fcis-6019	49	17	based	base	VERB
fcis-6019	49	18	on	on	ADP
fcis-6019	49	19	sparse	sparse	ADJ
fcis-6019	49	20	representation	representation	NOUN
fcis-6019	49	21	is	be	AUX
fcis-6019	49	22	proposed	propose	VERB
fcis-6019	49	23	,	,	PUNCT
fcis-6019	49	24	which	which	PRON
fcis-6019	49	25	provides	provide	VERB
fcis-6019	49	26	a	a	DET
fcis-6019	49	27	new	new	ADJ
fcis-6019	49	28	research	research	NOUN
fcis-6019	49	29	perspective	perspective	NOUN
fcis-6019	49	30	and	and	CCONJ
fcis-6019	49	31	solution	solution	NOUN
fcis-6019	49	32	for	for	ADP
fcis-6019	49	33	the	the	DET
fcis-6019	49	34	study	study	NOUN
fcis-6019	49	35	of	of	ADP
fcis-6019	49	36	face	face	NOUN
fcis-6019	49	37	recognition	recognition	NOUN
fcis-6019	49	38	.	.	PUNCT
fcis-6019	50	1	many	many	ADJ
fcis-6019	50	2	studies	study	NOUN
fcis-6019	50	3	have	have	AUX
fcis-6019	50	4	proved	prove	VERB
fcis-6019	50	5	that	that	SCONJ
fcis-6019	50	6	the	the	DET
fcis-6019	50	7	sparse	sparse	ADJ
fcis-6019	50	8	representation	representation	NOUN
fcis-6019	50	9	based	base	VERB
fcis-6019	50	10	on	on	ADP
fcis-6019	50	11	dictionary	dictionary	ADJ
fcis-6019	50	12	learning	learning	NOUN
fcis-6019	50	13	has	have	VERB
fcis-6019	50	14	obvious	obvious	ADJ
fcis-6019	50	15	advantages	advantage	NOUN
fcis-6019	50	16	over	over	ADP
fcis-6019	50	17	the	the	DET
fcis-6019	50	18	sparse	sparse	ADJ
fcis-6019	50	19	representation	representation	NOUN
fcis-6019	50	20	based	base	VERB
fcis-6019	50	21	on	on	ADP
fcis-6019	50	22	analytic	analytic	PROPN
fcis-6019	50	23	dictionary	dictionary	NOUN
fcis-6019	50	24	,	,	PUNCT
fcis-6019	50	25	and	and	CCONJ
fcis-6019	50	26	has	have	AUX
fcis-6019	50	27	obtained	obtain	VERB
fcis-6019	50	28	ideal	ideal	ADJ
fcis-6019	50	29	results	result	NOUN
fcis-6019	50	30	in	in	ADP
fcis-6019	50	31	many	many	ADJ
fcis-6019	50	32	image	image	NOUN
fcis-6019	50	33	processing	processing	NOUN
fcis-6019	50	34	applications	application	NOUN
fcis-6019	50	35	[	[	X
fcis-6019	50	36	8	8	NUM
fcis-6019	50	37	]	]	PUNCT
fcis-6019	50	38	.	.	PUNCT
fcis-6019	51	1	figure	figure	NOUN
fcis-6019	51	2	2	2	NUM
fcis-6019	51	3	.	.	NOUN
fcis-6019	51	4	face	face	NOUN
fcis-6019	51	5	recognition	recognition	NOUN
fcis-6019	51	6	method	method	NOUN
fcis-6019	51	7	flow	flow	NOUN
fcis-6019	51	8	based	base	VERB
fcis-6019	51	9	on	on	ADP
fcis-6019	51	10	sparse	sparse	ADJ
fcis-6019	51	11	representation	representation	NOUN
fcis-6019	51	12	dictionary	dictionary	ADJ
fcis-6019	51	13	design	design	NOUN
fcis-6019	51	14	is	be	AUX
fcis-6019	51	15	an	an	DET
fcis-6019	51	16	important	important	ADJ
fcis-6019	51	17	research	research	NOUN
fcis-6019	51	18	content	content	NOUN
fcis-6019	51	19	in	in	ADP
fcis-6019	51	20	sparse	sparse	ADJ
fcis-6019	51	21	representation	representation	NOUN
fcis-6019	51	22	classification	classification	NOUN
fcis-6019	51	23	face	face	NOUN
fcis-6019	51	24	recognition	recognition	NOUN
fcis-6019	51	25	method	method	NOUN
fcis-6019	51	26	,	,	PUNCT
fcis-6019	51	27	and	and	CCONJ
fcis-6019	51	28	whether	whether	SCONJ
fcis-6019	51	29	the	the	DET
fcis-6019	51	30	face	face	NOUN
fcis-6019	51	31	image	image	NOUN
fcis-6019	51	32	can	can	AUX
fcis-6019	51	33	be	be	AUX
fcis-6019	51	34	sparsely	sparsely	ADV
fcis-6019	51	35	represented	represent	VERB
fcis-6019	51	36	depends	depend	VERB
fcis-6019	51	37	on	on	ADP
fcis-6019	51	38	the	the	DET
fcis-6019	51	39	performance	performance	NOUN
fcis-6019	51	40	of	of	ADP
fcis-6019	51	41	the	the	DET
fcis-6019	51	42	dictionary	dictionary	PROPN
fcis-6019	51	43	.	.	PUNCT
fcis-6019	52	1	literature	literature	NOUN
fcis-6019	52	2	[	[	X
fcis-6019	52	3	8	8	NUM
fcis-6019	52	4	]	]	PUNCT
fcis-6019	52	5	puts	put	VERB
fcis-6019	52	6	forward	forward	ADV
fcis-6019	52	7	a	a	DET
fcis-6019	52	8	double	double	ADJ
fcis-6019	52	9	sparse	sparse	ADJ
fcis-6019	52	10	dictionary	dictionary	ADJ
fcis-6019	52	11	learning	learning	NOUN
fcis-6019	52	12	algorithm	algorithm	PROPN
fcis-6019	52	13	,	,	PUNCT
fcis-6019	52	14	which	which	PRON
fcis-6019	52	15	assumes	assume	VERB
fcis-6019	52	16	that	that	SCONJ
fcis-6019	52	17	dictionary	dictionary	ADJ
fcis-6019	52	18	atoms	atom	NOUN
fcis-6019	52	19	themselves	themselves	PRON
fcis-6019	52	20	contain	contain	VERB
fcis-6019	52	21	certain	certain	ADJ
fcis-6019	52	22	structural	structural	ADJ
fcis-6019	52	23	information	information	NOUN
fcis-6019	52	24	,	,	PUNCT
fcis-6019	52	25	so	so	SCONJ
fcis-6019	52	26	they	they	PRON
fcis-6019	52	27	can	can	AUX
fcis-6019	52	28	also	also	ADV
fcis-6019	52	29	be	be	AUX
fcis-6019	52	30	sparsely	sparsely	ADV
fcis-6019	52	31	represented	represent	VERB
fcis-6019	52	32	by	by	ADP
fcis-6019	52	33	a	a	DET
fcis-6019	52	34	known	know	VERB
fcis-6019	52	35	base	base	NOUN
fcis-6019	52	36	dictionary	dictionary	NOUN
fcis-6019	52	37	,	,	PUNCT
fcis-6019	52	38	thus	thus	ADV
fcis-6019	52	39	obtaining	obtain	VERB
fcis-6019	52	40	a	a	DET
fcis-6019	52	41	more	more	ADV
fcis-6019	52	42	adaptive	adaptive	ADJ
fcis-6019	52	43	dictionary	dictionary	NOUN
fcis-6019	52	44	.	.	PUNCT
fcis-6019	53	1	literature	literature	NOUN
fcis-6019	54	1	[	[	X
fcis-6019	54	2	9	9	NUM
fcis-6019	54	3	]	]	PUNCT
fcis-6019	54	4	improves	improve	VERB
fcis-6019	54	5	the	the	DET
fcis-6019	54	6	discriminant	discriminant	ADJ
fcis-6019	54	7	power	power	NOUN
fcis-6019	54	8	of	of	ADP
fcis-6019	54	9	dictionaries	dictionary	NOUN
fcis-6019	54	10	by	by	ADP
fcis-6019	54	11	introducing	introduce	VERB
fcis-6019	54	12	discriminant	discriminant	ADJ
fcis-6019	54	13	reconstruction	reconstruction	NOUN
fcis-6019	54	14	constraints	constraint	NOUN
fcis-6019	54	15	into	into	ADP
fcis-6019	54	16	dictionary	dictionary	ADJ
fcis-6019	54	17	learning	learning	NOUN
fcis-6019	54	18	models	model	NOUN
fcis-6019	54	19	.	.	PUNCT
fcis-6019	55	1	subsequently	subsequently	ADV
fcis-6019	55	2	,	,	PUNCT
fcis-6019	55	3	they	they	PRON
fcis-6019	55	4	put	put	VERB
fcis-6019	55	5	forward	forward	ADV
fcis-6019	55	6	a	a	DET
fcis-6019	55	7	supervised	supervised	ADJ
fcis-6019	55	8	dictionary	dictionary	ADJ
fcis-6019	55	9	learning	learning	NOUN
fcis-6019	55	10	method	method	NOUN
fcis-6019	55	11	and	and	CCONJ
fcis-6019	55	12	applied	apply	VERB
fcis-6019	55	13	it	it	PRON
fcis-6019	55	14	to	to	ADP
fcis-6019	55	15	digital	digital	ADJ
fcis-6019	55	16	recognition	recognition	NOUN
fcis-6019	55	17	and	and	CCONJ
fcis-6019	55	18	texture	texture	ADJ
fcis-6019	55	19	classification	classification	NOUN
fcis-6019	55	20	.	.	PUNCT
fcis-6019	56	1	some	some	DET
fcis-6019	56	2	scholars	scholar	NOUN
fcis-6019	56	3	have	have	AUX
fcis-6019	56	4	further	far	ADV
fcis-6019	56	5	considered	consider	VERB
fcis-6019	56	6	the	the	DET
fcis-6019	56	7	discrimination	discrimination	NOUN
fcis-6019	56	8	of	of	ADP
fcis-6019	56	9	sparse	sparse	ADJ
fcis-6019	56	10	coding	coding	NOUN
fcis-6019	56	11	of	of	ADP
fcis-6019	56	12	face	face	NOUN
fcis-6019	56	13	images	image	NOUN
fcis-6019	56	14	,	,	PUNCT
fcis-6019	56	15	and	and	CCONJ
fcis-6019	56	16	thus	thus	ADV
fcis-6019	56	17	designed	design	VERB
fcis-6019	56	18	a	a	DET
fcis-6019	56	19	classifier	classifier	NOUN
fcis-6019	56	20	with	with	ADP
fcis-6019	56	21	better	well	ADJ
fcis-6019	56	22	classification	classification	NOUN
fcis-6019	56	23	effect	effect	NOUN
fcis-6019	56	24	[	[	X
fcis-6019	56	25	10	10	NUM
fcis-6019	56	26	]	]	PUNCT
fcis-6019	56	27	.	.	PUNCT
fcis-6019	57	1	4	4	X
fcis-6019	57	2	.	.	X
fcis-6019	57	3	face	face	NOUN
fcis-6019	57	4	recognition	recognition	NOUN
fcis-6019	57	5	with	with	ADP
fcis-6019	57	6	mask	mask	NOUN
fcis-6019	57	7	occlusion	occlusion	NOUN
fcis-6019	57	8	based	base	VERB
fcis-6019	57	9	on	on	ADP
fcis-6019	57	10	neural	neural	ADJ
fcis-6019	57	11	network	network	NOUN
fcis-6019	57	12	with	with	ADP
fcis-6019	57	13	the	the	DET
fcis-6019	57	14	development	development	NOUN
fcis-6019	57	15	of	of	ADP
fcis-6019	57	16	important	important	ADJ
fcis-6019	57	17	science	science	NOUN
fcis-6019	57	18	and	and	CCONJ
fcis-6019	57	19	technology	technology	NOUN
fcis-6019	57	20	related	relate	VERB
fcis-6019	57	21	to	to	ADP
fcis-6019	57	22	machine	machine	NOUN
fcis-6019	57	23	learning	learning	NOUN
fcis-6019	57	24	,	,	PUNCT
fcis-6019	57	25	deep	deep	ADJ
fcis-6019	57	26	learning	learning	NOUN
fcis-6019	57	27	has	have	AUX
fcis-6019	57	28	gradually	gradually	ADV
fcis-6019	57	29	been	be	AUX
fcis-6019	57	30	widely	widely	ADV
fcis-6019	57	31	used	use	VERB
fcis-6019	57	32	in	in	ADP
fcis-6019	57	33	many	many	ADJ
fcis-6019	57	34	fields	field	NOUN
fcis-6019	57	35	such	such	ADJ
fcis-6019	57	36	as	as	ADP
fcis-6019	57	37	computer	computer	NOUN
fcis-6019	57	38	vision	vision	NOUN
fcis-6019	57	39	,	,	PUNCT
fcis-6019	57	40	pattern	pattern	NOUN
fcis-6019	57	41	recognition	recognition	NOUN
fcis-6019	57	42	and	and	CCONJ
fcis-6019	57	43	image	image	NOUN
fcis-6019	57	44	processing	processing	NOUN
fcis-6019	57	45	.	.	PUNCT
fcis-6019	58	1	through	through	ADP
fcis-6019	58	2	multi	multi	ADJ
fcis-6019	58	3	-	-	ADJ
fcis-6019	58	4	layer	layer	ADJ
fcis-6019	58	5	learning	learning	NOUN
fcis-6019	58	6	,	,	PUNCT
fcis-6019	58	7	deep	deep	ADJ
fcis-6019	58	8	learning	learning	NOUN
fcis-6019	58	9	will	will	AUX
fcis-6019	58	10	build	build	VERB
fcis-6019	58	11	a	a	DET
fcis-6019	58	12	neural	neural	ADJ
fcis-6019	58	13	network	network	NOUN
fcis-6019	58	14	structure	structure	NOUN
fcis-6019	58	15	model	model	NOUN
fcis-6019	58	16	similar	similar	ADJ
fcis-6019	58	17	to	to	ADP
fcis-6019	58	18	the	the	DET
fcis-6019	58	19	human	human	ADJ
fcis-6019	58	20	brain	brain	NOUN
fcis-6019	58	21	,	,	PUNCT
fcis-6019	58	22	and	and	CCONJ
fcis-6019	58	23	obtain	obtain	VERB
fcis-6019	58	24	an	an	DET
fcis-6019	58	25	expression	expression	NOUN
fcis-6019	58	26	suitable	suitable	ADJ
fcis-6019	58	27	for	for	ADP
fcis-6019	58	28	the	the	DET
fcis-6019	58	29	input	input	NOUN
fcis-6019	58	30	data	data	NOUN
fcis-6019	58	31	characteristics	characteristic	NOUN
fcis-6019	58	32	of	of	ADP
fcis-6019	58	33	the	the	DET
fcis-6019	58	34	target	target	NOUN
fcis-6019	58	35	.	.	PUNCT
fcis-6019	59	1	deep	deep	ADJ
fcis-6019	59	2	learning	learning	NOUN
fcis-6019	59	3	has	have	AUX
fcis-6019	59	4	also	also	ADV
fcis-6019	59	5	achieved	achieve	VERB
fcis-6019	59	6	great	great	ADJ
fcis-6019	59	7	success	success	NOUN
fcis-6019	59	8	in	in	ADP
fcis-6019	59	9	many	many	ADJ
fcis-6019	59	10	fields	field	NOUN
fcis-6019	59	11	,	,	PUNCT
fcis-6019	59	12	especially	especially	ADV
fcis-6019	59	13	in	in	ADP
fcis-6019	59	14	the	the	DET
fcis-6019	59	15	field	field	NOUN
fcis-6019	59	16	of	of	ADP
fcis-6019	59	17	face	face	NOUN
fcis-6019	59	18	recognition	recognition	NOUN
fcis-6019	59	19	.	.	PUNCT
fcis-6019	60	1	various	various	ADJ
fcis-6019	60	2	face	face	NOUN
fcis-6019	60	3	recognition	recognition	NOUN
fcis-6019	60	4	algorithms	algorithm	NOUN
fcis-6019	60	5	based	base	VERB
fcis-6019	60	6	on	on	ADP
fcis-6019	60	7	cnn	cnn	PROPN
fcis-6019	60	8	(	(	PUNCT
fcis-6019	60	9	convolutional	convolutional	ADJ
fcis-6019	60	10	neural	neural	ADJ
fcis-6019	60	11	networks	network	NOUN
fcis-6019	60	12	)	)	PUNCT
fcis-6019	60	13	have	have	AUX
fcis-6019	60	14	far	far	ADV
fcis-6019	60	15	exceeded	exceed	VERB
fcis-6019	60	16	the	the	DET
fcis-6019	60	17	recognition	recognition	NOUN
fcis-6019	60	18	rate	rate	NOUN
fcis-6019	60	19	of	of	ADP
fcis-6019	60	20	other	other	ADJ
fcis-6019	60	21	kinds	kind	NOUN
fcis-6019	60	22	of	of	ADP
fcis-6019	60	23	machine	machine	NOUN
fcis-6019	60	24	algorithms	algorithm	NOUN
fcis-6019	60	25	in	in	ADP
fcis-6019	60	26	related	related	ADJ
fcis-6019	60	27	database	database	NOUN
fcis-6019	60	28	tests	test	NOUN
fcis-6019	60	29	[	[	X
fcis-6019	60	30	11	11	NUM
fcis-6019	60	31	]	]	PUNCT
fcis-6019	60	32	.	.	PUNCT
fcis-6019	61	1	cnn	cnn	PROPN
fcis-6019	61	2	refers	refer	VERB
fcis-6019	61	3	to	to	ADP
fcis-6019	61	4	dnn	dnn	PROPN
fcis-6019	61	5	(	(	PUNCT
fcis-6019	61	6	deep	deep	ADJ
fcis-6019	61	7	neural	neural	ADJ
fcis-6019	61	8	network	network	NOUN
fcis-6019	61	9	)	)	PUNCT
fcis-6019	61	10	with	with	ADP
fcis-6019	61	11	convolution	convolution	NOUN
fcis-6019	61	12	as	as	ADP
fcis-6019	61	13	the	the	DET
fcis-6019	61	14	calculation	calculation	NOUN
fcis-6019	61	15	method	method	NOUN
fcis-6019	61	16	,	,	PUNCT
fcis-6019	61	17	which	which	PRON
fcis-6019	61	18	plays	play	VERB
fcis-6019	61	19	an	an	DET
fcis-6019	61	20	important	important	ADJ
fcis-6019	61	21	role	role	NOUN
fcis-6019	61	22	in	in	ADP
fcis-6019	61	23	the	the	DET
fcis-6019	61	24	field	field	NOUN
fcis-6019	61	25	of	of	ADP
fcis-6019	61	26	computer	computer	NOUN
fcis-6019	61	27	vision	vision	NOUN
fcis-6019	61	28	.	.	PUNCT
fcis-6019	62	1	cnn	cnn	PROPN
fcis-6019	62	2	structure	structure	NOUN
fcis-6019	62	3	is	be	AUX
fcis-6019	62	4	shown	show	VERB
fcis-6019	62	5	in	in	ADP
fcis-6019	62	6	figure	figure	NOUN
fcis-6019	62	7	3	3	NUM
fcis-6019	62	8	:	:	PUNCT
fcis-6019	62	9	figure	figure	NOUN
fcis-6019	62	10	3	3	NUM
fcis-6019	62	11	.	.	PUNCT
fcis-6019	62	12	cnn	cnn	PROPN
fcis-6019	62	13	structure	structure	NOUN
fcis-6019	62	14	28	28	NUM
fcis-6019	62	15	in	in	ADP
fcis-6019	62	16	the	the	DET
fcis-6019	62	17	process	process	NOUN
fcis-6019	62	18	of	of	ADP
fcis-6019	62	19	collecting	collect	VERB
fcis-6019	62	20	face	face	NOUN
fcis-6019	62	21	images	image	NOUN
fcis-6019	62	22	,	,	PUNCT
fcis-6019	62	23	face	face	NOUN
fcis-6019	62	24	images	image	NOUN
fcis-6019	62	25	will	will	AUX
fcis-6019	62	26	always	always	ADV
fcis-6019	62	27	be	be	AUX
fcis-6019	62	28	affected	affect	VERB
fcis-6019	62	29	by	by	ADP
fcis-6019	62	30	various	various	ADJ
fcis-6019	62	31	obstructions	obstruction	NOUN
fcis-6019	62	32	,	,	PUNCT
fcis-6019	62	33	and	and	CCONJ
fcis-6019	62	34	the	the	DET
fcis-6019	62	35	diversity	diversity	NOUN
fcis-6019	62	36	of	of	ADP
fcis-6019	62	37	obstructions	obstruction	NOUN
fcis-6019	62	38	will	will	AUX
fcis-6019	62	39	lead	lead	VERB
fcis-6019	62	40	to	to	ADP
fcis-6019	62	41	the	the	DET
fcis-6019	62	42	inconsistency	inconsistency	NOUN
fcis-6019	62	43	of	of	ADP
fcis-6019	62	44	application	application	NOUN
fcis-6019	62	45	modeling	modeling	NOUN
fcis-6019	62	46	of	of	ADP
fcis-6019	62	47	face	face	NOUN
fcis-6019	62	48	recognition	recognition	NOUN
fcis-6019	62	49	,	,	PUNCT
fcis-6019	62	50	making	make	VERB
fcis-6019	62	51	it	it	PRON
fcis-6019	62	52	a	a	DET
fcis-6019	62	53	difficult	difficult	ADJ
fcis-6019	62	54	point	point	NOUN
fcis-6019	62	55	to	to	PART
fcis-6019	62	56	deal	deal	VERB
fcis-6019	62	57	with	with	ADP
fcis-6019	62	58	face	face	NOUN
fcis-6019	62	59	recognition	recognition	NOUN
fcis-6019	62	60	technology	technology	NOUN
fcis-6019	62	61	under	under	ADP
fcis-6019	62	62	occlusion	occlusion	NOUN
fcis-6019	62	63	conditions	condition	NOUN
fcis-6019	62	64	.	.	PUNCT
fcis-6019	63	1	literature	literature	NOUN
fcis-6019	64	1	[	[	X
fcis-6019	64	2	12	12	NUM
fcis-6019	64	3	]	]	PUNCT
fcis-6019	64	4	in	in	ADP
fcis-6019	64	5	order	order	NOUN
fcis-6019	64	6	to	to	PART
fcis-6019	64	7	reduce	reduce	VERB
fcis-6019	64	8	the	the	DET
fcis-6019	64	9	influence	influence	NOUN
fcis-6019	64	10	of	of	ADP
fcis-6019	64	11	local	local	ADJ
fcis-6019	64	12	occlusion	occlusion	NOUN
fcis-6019	64	13	,	,	PUNCT
fcis-6019	64	14	a	a	DET
fcis-6019	64	15	method	method	NOUN
fcis-6019	64	16	of	of	ADP
fcis-6019	64	17	blocking	block	VERB
fcis-6019	64	18	face	face	NOUN
fcis-6019	64	19	images	image	NOUN
fcis-6019	64	20	is	be	AUX
fcis-6019	64	21	proposed	propose	VERB
fcis-6019	64	22	,	,	PUNCT
fcis-6019	64	23	and	and	CCONJ
fcis-6019	64	24	features	feature	NOUN
fcis-6019	64	25	are	be	AUX
fcis-6019	64	26	extracted	extract	VERB
fcis-6019	64	27	by	by	ADP
fcis-6019	64	28	using	use	VERB
fcis-6019	64	29	self	self	NOUN
fcis-6019	64	30	-	-	PUNCT
fcis-6019	64	31	organizing	organize	VERB
fcis-6019	64	32	mapping	mapping	NOUN
fcis-6019	64	33	neural	neural	ADJ
fcis-6019	64	34	network	network	NOUN
fcis-6019	64	35	.	.	PUNCT
fcis-6019	65	1	literature	literature	NOUN
fcis-6019	65	2	[	[	X
fcis-6019	65	3	13	13	NUM
fcis-6019	65	4	]	]	PUNCT
fcis-6019	65	5	proposes	propose	VERB
fcis-6019	65	6	a	a	DET
fcis-6019	65	7	method	method	NOUN
fcis-6019	65	8	of	of	ADP
fcis-6019	65	9	face	face	NOUN
fcis-6019	65	10	recognition	recognition	NOUN
fcis-6019	65	11	after	after	SCONJ
fcis-6019	65	12	the	the	DET
fcis-6019	65	13	occlusion	occlusion	NOUN
fcis-6019	65	14	image	image	NOUN
fcis-6019	65	15	is	be	AUX
fcis-6019	65	16	segmented	segment	VERB
fcis-6019	65	17	.	.	PUNCT
fcis-6019	66	1	the	the	DET
fcis-6019	66	2	limitation	limitation	NOUN
fcis-6019	66	3	of	of	ADP
fcis-6019	66	4	this	this	DET
fcis-6019	66	5	method	method	NOUN
fcis-6019	66	6	is	be	AUX
fcis-6019	66	7	that	that	SCONJ
fcis-6019	66	8	there	there	PRON
fcis-6019	66	9	is	be	VERB
fcis-6019	66	10	a	a	DET
fcis-6019	66	11	big	big	ADJ
fcis-6019	66	12	difference	difference	NOUN
fcis-6019	66	13	in	in	ADP
fcis-6019	66	14	gray	gray	ADJ
fcis-6019	66	15	value	value	NOUN
fcis-6019	66	16	between	between	ADP
fcis-6019	66	17	the	the	DET
fcis-6019	66	18	required	require	VERB
fcis-6019	66	19	occlusion	occlusion	NOUN
fcis-6019	66	20	and	and	CCONJ
fcis-6019	66	21	the	the	DET
fcis-6019	66	22	unobstructed	unobstructed	ADJ
fcis-6019	66	23	face	face	NOUN
fcis-6019	66	24	image	image	NOUN
fcis-6019	66	25	,	,	PUNCT
fcis-6019	66	26	otherwise	otherwise	ADV
fcis-6019	66	27	the	the	DET
fcis-6019	66	28	performance	performance	NOUN
fcis-6019	66	29	will	will	AUX
fcis-6019	66	30	be	be	AUX
fcis-6019	66	31	unsatisfactory	unsatisfactory	ADJ
fcis-6019	66	32	.	.	PUNCT
fcis-6019	67	1	yolo	yolo	PROPN
fcis-6019	67	2	has	have	AUX
fcis-6019	67	3	really	really	ADV
fcis-6019	67	4	pushed	push	VERB
fcis-6019	67	5	the	the	DET
fcis-6019	67	6	target	target	NOUN
fcis-6019	67	7	detection	detection	NOUN
fcis-6019	67	8	to	to	ADP
fcis-6019	67	9	a	a	DET
fcis-6019	67	10	largescale	largescale	NOUN
fcis-6019	67	11	landing	landing	NOUN
fcis-6019	67	12	application	application	NOUN
fcis-6019	67	13	with	with	ADP
fcis-6019	67	14	its	its	PRON
fcis-6019	67	15	powerful	powerful	ADJ
fcis-6019	67	16	real	real	ADJ
fcis-6019	67	17	-	-	PUNCT
fcis-6019	67	18	time	time	NOUN
fcis-6019	67	19	detection	detection	NOUN
fcis-6019	67	20	performance	performance	NOUN
fcis-6019	67	21	.	.	PUNCT
fcis-6019	68	1	yolo	yolo	ADJ
fcis-6019	68	2	series	series	PROPN
fcis-6019	68	3	did	do	AUX
fcis-6019	68	4	n't	not	PART
fcis-6019	68	5	give	give	VERB
fcis-6019	68	6	consideration	consideration	NOUN
fcis-6019	68	7	to	to	ADP
fcis-6019	68	8	both	both	DET
fcis-6019	68	9	detection	detection	NOUN
fcis-6019	68	10	accuracy	accuracy	NOUN
fcis-6019	68	11	and	and	CCONJ
fcis-6019	68	12	speed	speed	NOUN
fcis-6019	68	13	until	until	ADP
fcis-6019	68	14	yolov3	yolov3	PROPN
fcis-6019	68	15	version	version	PROPN
fcis-6019	68	16	,	,	PUNCT
fcis-6019	68	17	and	and	CCONJ
fcis-6019	68	18	it	it	PRON
fcis-6019	68	19	really	really	ADV
fcis-6019	68	20	matured	mature	VERB
fcis-6019	68	21	.	.	PUNCT
fcis-6019	69	1	yolov4	yolov4	PROPN
fcis-6019	69	2	adopts	adopt	VERB
fcis-6019	69	3	a	a	DET
fcis-6019	69	4	series	series	NOUN
fcis-6019	69	5	of	of	ADP
fcis-6019	69	6	optimization	optimization	NOUN
fcis-6019	69	7	and	and	CCONJ
fcis-6019	69	8	training	training	NOUN
fcis-6019	69	9	techniques	technique	NOUN
fcis-6019	69	10	to	to	PART
fcis-6019	69	11	improve	improve	VERB
fcis-6019	69	12	the	the	DET
fcis-6019	69	13	detection	detection	NOUN
fcis-6019	69	14	performance	performance	NOUN
fcis-6019	69	15	and	and	CCONJ
fcis-6019	69	16	reduce	reduce	VERB
fcis-6019	69	17	the	the	DET
fcis-6019	69	18	application	application	NOUN
fcis-6019	69	19	cost	cost	NOUN
fcis-6019	69	20	of	of	ADP
fcis-6019	69	21	the	the	DET
fcis-6019	69	22	model	model	NOUN
fcis-6019	69	23	.	.	PUNCT
fcis-6019	70	1	yolov5	yolov5	NOUN
fcis-6019	70	2	,	,	PUNCT
fcis-6019	70	3	on	on	ADP
fcis-6019	70	4	the	the	DET
fcis-6019	70	5	other	other	ADJ
fcis-6019	70	6	hand	hand	NOUN
fcis-6019	70	7	,	,	PUNCT
fcis-6019	70	8	is	be	AUX
fcis-6019	70	9	more	more	ADV
fcis-6019	70	10	flexible	flexible	ADJ
fcis-6019	70	11	,	,	PUNCT
fcis-6019	70	12	compact	compact	ADJ
fcis-6019	70	13	and	and	CCONJ
fcis-6019	70	14	easy	easy	ADJ
fcis-6019	70	15	to	to	PART
fcis-6019	70	16	deploy	deploy	VERB
fcis-6019	70	17	.	.	PUNCT
fcis-6019	71	1	while	while	SCONJ
fcis-6019	71	2	maintaining	maintain	VERB
fcis-6019	71	3	high	high	ADJ
fcis-6019	71	4	detection	detection	NOUN
fcis-6019	71	5	accuracy	accuracy	NOUN
fcis-6019	71	6	,	,	PUNCT
fcis-6019	71	7	it	it	PRON
fcis-6019	71	8	further	far	ADV
fcis-6019	71	9	accelerates	accelerate	VERB
fcis-6019	71	10	the	the	DET
fcis-6019	71	11	reasoning	reasoning	NOUN
fcis-6019	71	12	speed	speed	NOUN
fcis-6019	71	13	of	of	ADP
fcis-6019	71	14	the	the	DET
fcis-6019	71	15	model	model	NOUN
fcis-6019	71	16	and	and	CCONJ
fcis-6019	71	17	takes	take	VERB
fcis-6019	71	18	less	less	ADJ
fcis-6019	71	19	time	time	NOUN
fcis-6019	71	20	,	,	PUNCT
fcis-6019	71	21	thus	thus	ADV
fcis-6019	71	22	achieving	achieve	VERB
fcis-6019	71	23	the	the	DET
fcis-6019	71	24	best	good	ADJ
fcis-6019	71	25	balance	balance	NOUN
fcis-6019	71	26	between	between	ADP
fcis-6019	71	27	speed	speed	NOUN
fcis-6019	71	28	and	and	CCONJ
fcis-6019	71	29	performance	performance	NOUN
fcis-6019	71	30	of	of	ADP
fcis-6019	71	31	the	the	DET
fcis-6019	71	32	current	current	ADJ
fcis-6019	71	33	series	series	NOUN
fcis-6019	71	34	.	.	PUNCT
fcis-6019	72	1	literature	literature	NOUN
fcis-6019	73	1	[	[	X
fcis-6019	73	2	14	14	NUM
fcis-6019	73	3	]	]	PUNCT
fcis-6019	73	4	expands	expand	VERB
fcis-6019	73	5	the	the	DET
fcis-6019	73	6	pyramid	pyramid	NOUN
fcis-6019	73	7	structure	structure	NOUN
fcis-6019	73	8	of	of	ADP
fcis-6019	73	9	3×3	3×3	NUM
fcis-6019	73	10	to	to	ADP
fcis-6019	73	11	4×4	4×4	NUM
fcis-6019	73	12	,	,	PUNCT
fcis-6019	73	13	and	and	CCONJ
fcis-6019	73	14	adds	add	VERB
fcis-6019	73	15	a	a	DET
fcis-6019	73	16	new	new	ADJ
fcis-6019	73	17	prediction	prediction	NOUN
fcis-6019	73	18	branch	branch	NOUN
fcis-6019	73	19	to	to	ADP
fcis-6019	73	20	the	the	DET
fcis-6019	73	21	shallow	shallow	ADJ
fcis-6019	73	22	feature	feature	NOUN
fcis-6019	73	23	extraction	extraction	NOUN
fcis-6019	73	24	part	part	NOUN
fcis-6019	73	25	,	,	PUNCT
fcis-6019	73	26	which	which	PRON
fcis-6019	73	27	improves	improve	VERB
fcis-6019	73	28	the	the	DET
fcis-6019	73	29	detection	detection	NOUN
fcis-6019	73	30	accuracy	accuracy	NOUN
fcis-6019	73	31	of	of	ADP
fcis-6019	73	32	the	the	DET
fcis-6019	73	33	model	model	NOUN
fcis-6019	73	34	for	for	ADP
fcis-6019	73	35	small	small	ADJ
fcis-6019	73	36	targets	target	NOUN
fcis-6019	73	37	by	by	ADP
fcis-6019	73	38	7.2	7.2	NUM
fcis-6019	73	39	percentage	percentage	NOUN
fcis-6019	73	40	points	point	NOUN
fcis-6019	73	41	.	.	PUNCT
fcis-6019	74	1	the	the	DET
fcis-6019	74	2	mask	mask	NOUN
fcis-6019	74	3	wearing	wear	VERB
fcis-6019	74	4	detection	detection	NOUN
fcis-6019	74	5	based	base	VERB
fcis-6019	74	6	on	on	ADP
fcis-6019	74	7	yolov4	yolov4	PROPN
fcis-6019	74	8	is	be	AUX
fcis-6019	74	9	easy	easy	ADJ
fcis-6019	74	10	to	to	PART
fcis-6019	74	11	be	be	AUX
fcis-6019	74	12	disturbed	disturb	VERB
fcis-6019	74	13	by	by	ADP
fcis-6019	74	14	complex	complex	ADJ
fcis-6019	74	15	illumination	illumination	NOUN
fcis-6019	74	16	,	,	PUNCT
fcis-6019	74	17	which	which	PRON
fcis-6019	74	18	leads	lead	VERB
fcis-6019	74	19	to	to	ADP
fcis-6019	74	20	poor	poor	ADJ
fcis-6019	74	21	results	result	NOUN
fcis-6019	74	22	.	.	PUNCT
fcis-6019	75	1	literature	literature	NOUN
fcis-6019	75	2	[	[	X
fcis-6019	75	3	15	15	NUM
fcis-6019	75	4	]	]	PUNCT
fcis-6019	75	5	improved	improve	VERB
fcis-6019	75	6	the	the	DET
fcis-6019	75	7	simplified	simplified	ADJ
fcis-6019	75	8	model	model	NOUN
fcis-6019	75	9	of	of	ADP
fcis-6019	75	10	residual	residual	ADJ
fcis-6019	75	11	structure	structure	NOUN
fcis-6019	75	12	to	to	PART
fcis-6019	75	13	achieve	achieve	VERB
fcis-6019	75	14	real	real	ADJ
fcis-6019	75	15	-	-	PUNCT
fcis-6019	75	16	time	time	NOUN
fcis-6019	75	17	detection	detection	NOUN
fcis-6019	75	18	,	,	PUNCT
fcis-6019	75	19	increased	increase	VERB
fcis-6019	75	20	multi	multi	ADJ
fcis-6019	75	21	-	-	ADJ
fcis-6019	75	22	scale	scale	ADJ
fcis-6019	75	23	output	output	NOUN
fcis-6019	75	24	structure	structure	NOUN
fcis-6019	75	25	,	,	PUNCT
fcis-6019	75	26	enhanced	enhance	VERB
fcis-6019	75	27	the	the	DET
fcis-6019	75	28	expression	expression	NOUN
fcis-6019	75	29	of	of	ADP
fcis-6019	75	30	low	low	ADJ
fcis-6019	75	31	-	-	PUNCT
fcis-6019	75	32	level	level	NOUN
fcis-6019	75	33	feature	feature	NOUN
fcis-6019	75	34	layers	layer	NOUN
fcis-6019	75	35	,	,	PUNCT
fcis-6019	75	36	reduced	reduce	VERB
fcis-6019	75	37	the	the	DET
fcis-6019	75	38	missed	miss	VERB
fcis-6019	75	39	detection	detection	NOUN
fcis-6019	75	40	rate	rate	NOUN
fcis-6019	75	41	of	of	ADP
fcis-6019	75	42	small	small	ADJ
fcis-6019	75	43	targets	target	NOUN
fcis-6019	75	44	,	,	PUNCT
fcis-6019	75	45	and	and	CCONJ
fcis-6019	75	46	adopted	adopt	VERB
fcis-6019	75	47	multi	multi	ADJ
fcis-6019	75	48	-	-	ADJ
fcis-6019	75	49	level	level	ADJ
fcis-6019	75	50	crossfusion	crossfusion	NOUN
fcis-6019	75	51	structure	structure	NOUN
fcis-6019	75	52	to	to	PART
fcis-6019	75	53	improve	improve	VERB
fcis-6019	75	54	the	the	DET
fcis-6019	75	55	feature	feature	NOUN
fcis-6019	75	56	utilization	utilization	NOUN
fcis-6019	75	57	rate	rate	NOUN
fcis-6019	75	58	.	.	PUNCT
fcis-6019	76	1	the	the	DET
fcis-6019	76	2	improved	improve	VERB
fcis-6019	76	3	algorithm	algorithm	NOUN
fcis-6019	76	4	model	model	NOUN
fcis-6019	76	5	was	be	AUX
fcis-6019	76	6	only	only	ADV
fcis-6019	76	7	5.8	5.8	NUM
fcis-6019	76	8	mb	mb	NOUN
fcis-6019	76	9	and	and	CCONJ
fcis-6019	76	10	the	the	DET
fcis-6019	76	11	map	map	NOUN
fcis-6019	76	12	value	value	NOUN
fcis-6019	76	13	increased	increase	VERB
fcis-6019	76	14	by	by	ADP
fcis-6019	76	15	5.3	5.3	NUM
fcis-6019	76	16	%	%	NOUN
fcis-6019	76	17	.	.	PUNCT
fcis-6019	77	1	literature	literature	NOUN
fcis-6019	78	1	[	[	X
fcis-6019	78	2	16	16	NUM
fcis-6019	78	3	]	]	PUNCT
fcis-6019	78	4	proposed	propose	VERB
fcis-6019	78	5	an	an	DET
fcis-6019	78	6	improved	improved	ADJ
fcis-6019	78	7	lightweight	lightweight	ADJ
fcis-6019	78	8	mask	mask	NOUN
fcis-6019	78	9	detection	detection	NOUN
fcis-6019	78	10	algorithm	algorithm	NOUN
fcis-6019	78	11	based	base	VERB
fcis-6019	78	12	on	on	ADP
fcis-6019	78	13	yolov4	yolov4	PROPN
fcis-6019	78	14	-	-	PUNCT
fcis-6019	78	15	tiny	tiny	ADJ
fcis-6019	78	16	.	.	PUNCT
fcis-6019	79	1	document	document	NOUN
fcis-6019	80	1	[	[	X
fcis-6019	80	2	17	17	NUM
fcis-6019	80	3	]	]	PUNCT
fcis-6019	80	4	proposed	propose	VERB
fcis-6019	80	5	a	a	DET
fcis-6019	80	6	mask	mask	NOUN
fcis-6019	80	7	wearing	wear	VERB
fcis-6019	80	8	detection	detection	NOUN
fcis-6019	80	9	and	and	CCONJ
fcis-6019	80	10	embedded	embed	VERB
fcis-6019	80	11	implementation	implementation	NOUN
fcis-6019	80	12	method	method	NOUN
fcis-6019	80	13	based	base	VERB
fcis-6019	80	14	on	on	ADP
fcis-6019	80	15	yolov4	yolov4	PROPN
fcis-6019	80	16	block	block	NOUN
fcis-6019	80	17	weight	weight	NOUN
fcis-6019	80	18	pruning	pruning	NOUN
fcis-6019	80	19	.	.	PUNCT
fcis-6019	81	1	literature	literature	NOUN
fcis-6019	82	1	[	[	X
fcis-6019	82	2	18	18	NUM
fcis-6019	82	3	]	]	PUNCT
fcis-6019	82	4	proposed	propose	VERB
fcis-6019	82	5	an	an	DET
fcis-6019	82	6	improved	improved	ADJ
fcis-6019	82	7	yolov3	yolov3	NOUN
fcis-6019	82	8	multi	multi	ADJ
fcis-6019	82	9	-	-	ADJ
fcis-6019	82	10	scale	scale	ADJ
fcis-6019	82	11	network	network	NOUN
fcis-6019	82	12	.	.	PUNCT
fcis-6019	83	1	in	in	ADP
fcis-6019	83	2	the	the	DET
fcis-6019	83	3	end	end	NOUN
fcis-6019	83	4	,	,	PUNCT
fcis-6019	83	5	the	the	DET
fcis-6019	83	6	accuracy	accuracy	NOUN
fcis-6019	83	7	of	of	ADP
fcis-6019	83	8	this	this	DET
fcis-6019	83	9	algorithm	algorithm	NOUN
fcis-6019	83	10	in	in	ADP
fcis-6019	83	11	face	face	NOUN
fcis-6019	83	12	mask	mask	NOUN
fcis-6019	83	13	detection	detection	NOUN
fcis-6019	83	14	reached	reach	VERB
fcis-6019	83	15	93.66	93.66	NUM
fcis-6019	83	16	%	%	NOUN
fcis-6019	83	17	,	,	PUNCT
fcis-6019	83	18	which	which	PRON
fcis-6019	83	19	was	be	AUX
fcis-6019	83	20	5.61	5.61	NUM
fcis-6019	83	21	%	%	NOUN
fcis-6019	83	22	higher	high	ADJ
fcis-6019	83	23	than	than	ADP
fcis-6019	83	24	the	the	DET
fcis-6019	83	25	original	original	ADJ
fcis-6019	83	26	algorithm	algorithm	NOUN
fcis-6019	83	27	.	.	PUNCT
fcis-6019	84	1	however	however	ADV
fcis-6019	84	2	,	,	PUNCT
fcis-6019	84	3	its	its	PRON
fcis-6019	84	4	model	model	NOUN
fcis-6019	84	5	became	become	VERB
fcis-6019	84	6	more	more	ADV
fcis-6019	84	7	complicated	complicated	ADJ
fcis-6019	84	8	and	and	CCONJ
fcis-6019	84	9	the	the	DET
fcis-6019	84	10	network	network	NOUN
fcis-6019	84	11	parameters	parameter	NOUN
fcis-6019	84	12	increased	increase	VERB
fcis-6019	84	13	,	,	PUNCT
fcis-6019	84	14	so	so	CCONJ
fcis-6019	84	15	the	the	DET
fcis-6019	84	16	detection	detection	NOUN
fcis-6019	84	17	efficiency	efficiency	NOUN
fcis-6019	84	18	decreased	decrease	VERB
fcis-6019	84	19	.	.	PUNCT
fcis-6019	85	1	in	in	ADP
fcis-6019	85	2	order	order	NOUN
fcis-6019	85	3	to	to	PART
fcis-6019	85	4	generate	generate	VERB
fcis-6019	85	5	the	the	DET
fcis-6019	85	6	face	face	NOUN
fcis-6019	85	7	edge	edge	NOUN
fcis-6019	85	8	of	of	ADP
fcis-6019	85	9	the	the	DET
fcis-6019	85	10	mask	mask	NOUN
fcis-6019	85	11	area	area	NOUN
fcis-6019	85	12	,	,	PUNCT
fcis-6019	85	13	it	it	PRON
fcis-6019	85	14	is	be	AUX
fcis-6019	85	15	necessary	necessary	ADJ
fcis-6019	85	16	to	to	PART
fcis-6019	85	17	locate	locate	VERB
fcis-6019	85	18	the	the	DET
fcis-6019	85	19	mask	mask	NOUN
fcis-6019	85	20	and	and	CCONJ
fcis-6019	85	21	obtain	obtain	VERB
fcis-6019	85	22	the	the	DET
fcis-6019	85	23	missing	miss	VERB
fcis-6019	85	24	face	face	NOUN
fcis-6019	85	25	map	map	NOUN
fcis-6019	85	26	of	of	ADP
fcis-6019	85	27	the	the	DET
fcis-6019	85	28	mask	mask	NOUN
fcis-6019	85	29	area	area	NOUN
fcis-6019	85	30	.	.	PUNCT
fcis-6019	86	1	the	the	DET
fcis-6019	86	2	position	position	NOUN
fcis-6019	86	3	and	and	CCONJ
fcis-6019	86	4	shape	shape	NOUN
fcis-6019	86	5	of	of	ADP
fcis-6019	86	6	the	the	DET
fcis-6019	86	7	mask	mask	NOUN
fcis-6019	86	8	are	be	AUX
fcis-6019	86	9	preliminarily	preliminarily	ADV
fcis-6019	86	10	obtained	obtain	VERB
fcis-6019	86	11	by	by	ADP
fcis-6019	86	12	using	use	VERB
fcis-6019	86	13	the	the	DET
fcis-6019	86	14	key	key	ADJ
fcis-6019	86	15	point	point	NOUN
fcis-6019	86	16	information	information	NOUN
fcis-6019	86	17	of	of	ADP
fcis-6019	86	18	the	the	DET
fcis-6019	86	19	face	face	NOUN
fcis-6019	86	20	and	and	CCONJ
fcis-6019	86	21	combining	combine	VERB
fcis-6019	86	22	with	with	ADP
fcis-6019	86	23	prior	prior	ADJ
fcis-6019	86	24	knowledge	knowledge	NOUN
fcis-6019	86	25	.	.	PUNCT
fcis-6019	87	1	literature	literature	NOUN
fcis-6019	87	2	[	[	X
fcis-6019	87	3	19	19	NUM
fcis-6019	87	4	]	]	PUNCT
fcis-6019	87	5	introduces	introduce	VERB
fcis-6019	87	6	perceptual	perceptual	ADJ
fcis-6019	87	7	loss	loss	NOUN
fcis-6019	87	8	and	and	CCONJ
fcis-6019	87	9	style	style	NOUN
fcis-6019	87	10	loss	loss	NOUN
fcis-6019	87	11	,	,	PUNCT
fcis-6019	87	12	and	and	CCONJ
fcis-6019	87	13	the	the	DET
fcis-6019	87	14	weighted	weighted	ADJ
fcis-6019	87	15	sum	sum	NOUN
fcis-6019	87	16	of	of	ADP
fcis-6019	87	17	identity	identity	NOUN
fcis-6019	87	18	consistency	consistency	NOUN
fcis-6019	87	19	loss	loss	NOUN
fcis-6019	87	20	and	and	CCONJ
fcis-6019	87	21	spatial	spatial	ADJ
fcis-6019	87	22	weighted	weight	VERB
fcis-6019	87	23	confrontation	confrontation	NOUN
fcis-6019	87	24	loss	loss	NOUN
fcis-6019	87	25	designed	design	VERB
fcis-6019	87	26	in	in	ADP
fcis-6019	87	27	this	this	DET
fcis-6019	87	28	paper	paper	NOUN
fcis-6019	87	29	as	as	SCONJ
fcis-6019	87	30	the	the	DET
fcis-6019	87	31	total	total	ADJ
fcis-6019	87	32	loss	loss	NOUN
fcis-6019	87	33	function	function	NOUN
fcis-6019	87	34	to	to	PART
fcis-6019	87	35	train	train	VERB
fcis-6019	87	36	the	the	DET
fcis-6019	87	37	regional	regional	ADJ
fcis-6019	87	38	filling	filling	NOUN
fcis-6019	87	39	network	network	NOUN
fcis-6019	87	40	.	.	PUNCT
fcis-6019	88	1	literature	literature	NOUN
fcis-6019	89	1	[	[	X
fcis-6019	89	2	20	20	NUM
fcis-6019	89	3	]	]	PUNCT
fcis-6019	89	4	applied	apply	VERB
fcis-6019	89	5	cnn	cnn	PROPN
fcis-6019	89	6	to	to	ADP
fcis-6019	89	7	facial	facial	ADJ
fcis-6019	89	8	expression	expression	NOUN
fcis-6019	89	9	recognition	recognition	NOUN
fcis-6019	89	10	with	with	ADP
fcis-6019	89	11	partial	partial	ADJ
fcis-6019	89	12	occlusion	occlusion	NOUN
fcis-6019	89	13	.	.	PUNCT
fcis-6019	90	1	experiments	experiment	NOUN
fcis-6019	90	2	show	show	VERB
fcis-6019	90	3	that	that	SCONJ
fcis-6019	90	4	facial	facial	ADJ
fcis-6019	90	5	expression	expression	NOUN
fcis-6019	90	6	recognition	recognition	NOUN
fcis-6019	90	7	based	base	VERB
fcis-6019	90	8	on	on	ADP
fcis-6019	90	9	cnn	cnn	PROPN
fcis-6019	90	10	has	have	VERB
fcis-6019	90	11	high	high	ADJ
fcis-6019	90	12	recognition	recognition	NOUN
fcis-6019	90	13	rate	rate	NOUN
fcis-6019	90	14	and	and	CCONJ
fcis-6019	90	15	good	good	ADJ
fcis-6019	90	16	robustness	robustness	NOUN
fcis-6019	90	17	.	.	PUNCT
fcis-6019	91	1	literature	literature	NOUN
fcis-6019	92	1	[	[	X
fcis-6019	92	2	21	21	NUM
fcis-6019	92	3	]	]	PUNCT
fcis-6019	92	4	improved	improve	VERB
fcis-6019	92	5	a	a	DET
fcis-6019	92	6	kind	kind	NOUN
fcis-6019	92	7	of	of	ADP
fcis-6019	92	8	cnn	cnn	PROPN
fcis-6019	92	9	for	for	ADP
fcis-6019	92	10	face	face	NOUN
fcis-6019	92	11	recognition	recognition	NOUN
fcis-6019	92	12	,	,	PUNCT
fcis-6019	92	13	mainly	mainly	ADV
fcis-6019	92	14	combining	combine	VERB
fcis-6019	92	15	the	the	DET
fcis-6019	92	16	attention	attention	NOUN
fcis-6019	92	17	mechanism	mechanism	NOUN
fcis-6019	92	18	with	with	ADP
fcis-6019	92	19	cnn	cnn	PROPN
fcis-6019	92	20	effectively	effectively	ADV
fcis-6019	92	21	,	,	PUNCT
fcis-6019	92	22	focusing	focus	VERB
fcis-6019	92	23	on	on	ADP
fcis-6019	92	24	the	the	DET
fcis-6019	92	25	area	area	NOUN
fcis-6019	92	26	above	above	ADP
fcis-6019	92	27	the	the	DET
fcis-6019	92	28	nose	nose	NOUN
fcis-6019	92	29	and	and	CCONJ
fcis-6019	92	30	mouth	mouth	NOUN
fcis-6019	92	31	,	,	PUNCT
fcis-6019	92	32	reducing	reduce	VERB
fcis-6019	92	33	the	the	DET
fcis-6019	92	34	dependence	dependence	NOUN
fcis-6019	92	35	on	on	ADP
fcis-6019	92	36	other	other	ADJ
fcis-6019	92	37	areas	area	NOUN
fcis-6019	92	38	,	,	PUNCT
fcis-6019	92	39	and	and	CCONJ
fcis-6019	92	40	effectively	effectively	ADV
fcis-6019	92	41	improving	improve	VERB
fcis-6019	92	42	the	the	DET
fcis-6019	92	43	accuracy	accuracy	NOUN
fcis-6019	92	44	of	of	ADP
fcis-6019	92	45	face	face	NOUN
fcis-6019	92	46	recognition	recognition	NOUN
fcis-6019	92	47	.	.	PUNCT
fcis-6019	93	1	document	document	NOUN
fcis-6019	94	1	[	[	X
fcis-6019	94	2	22	22	NUM
fcis-6019	94	3	]	]	PUNCT
fcis-6019	94	4	proposed	propose	VERB
fcis-6019	94	5	gan	gan	PROPN
fcis-6019	94	6	(	(	PUNCT
fcis-6019	94	7	generative	generative	ADJ
fcis-6019	94	8	adversarial	adversarial	ADJ
fcis-6019	94	9	network	network	NOUN
fcis-6019	94	10	)	)	PUNCT
fcis-6019	94	11	,	,	PUNCT
fcis-6019	94	12	which	which	PRON
fcis-6019	94	13	can	can	AUX
fcis-6019	94	14	continuously	continuously	ADV
fcis-6019	94	15	improve	improve	VERB
fcis-6019	94	16	the	the	DET
fcis-6019	94	17	generation	generation	NOUN
fcis-6019	94	18	ability	ability	NOUN
fcis-6019	94	19	through	through	ADP
fcis-6019	94	20	game	game	NOUN
fcis-6019	94	21	learning	learning	NOUN
fcis-6019	94	22	,	,	PUNCT
fcis-6019	94	23	and	and	CCONJ
fcis-6019	94	24	its	its	PRON
fcis-6019	94	25	classic	classic	ADJ
fcis-6019	94	26	application	application	NOUN
fcis-6019	94	27	is	be	AUX
fcis-6019	94	28	to	to	PART
fcis-6019	94	29	generate	generate	VERB
fcis-6019	94	30	natural	natural	ADJ
fcis-6019	94	31	images	image	NOUN
fcis-6019	94	32	.	.	PUNCT
fcis-6019	95	1	literature	literature	NOUN
fcis-6019	96	1	[	[	X
fcis-6019	96	2	23	23	NUM
fcis-6019	96	3	]	]	PUNCT
fcis-6019	96	4	proposed	propose	VERB
fcis-6019	96	5	to	to	PART
fcis-6019	96	6	use	use	VERB
fcis-6019	96	7	depth	depth	NOUN
fcis-6019	96	8	generation	generation	NOUN
fcis-6019	96	9	model	model	NOUN
fcis-6019	96	10	to	to	PART
fcis-6019	96	11	restore	restore	VERB
fcis-6019	96	12	occluded	occluded	ADJ
fcis-6019	96	13	face	face	NOUN
fcis-6019	96	14	.	.	PUNCT
fcis-6019	97	1	specifically	specifically	ADV
fcis-6019	97	2	,	,	PUNCT
fcis-6019	97	3	it	it	PRON
fcis-6019	97	4	generates	generate	VERB
fcis-6019	97	5	random	random	ADJ
fcis-6019	97	6	square	square	ADJ
fcis-6019	97	7	occlusion	occlusion	NOUN
fcis-6019	97	8	on	on	ADP
fcis-6019	97	9	the	the	DET
fcis-6019	97	10	face	face	NOUN
fcis-6019	97	11	image	image	NOUN
fcis-6019	97	12	.	.	PUNCT
fcis-6019	98	1	after	after	SCONJ
fcis-6019	98	2	the	the	DET
fcis-6019	98	3	encoder	encoder	NOUN
fcis-6019	98	4	maps	map	VERB
fcis-6019	98	5	the	the	DET
fcis-6019	98	6	occluded	occluded	ADJ
fcis-6019	98	7	face	face	NOUN
fcis-6019	98	8	to	to	ADP
fcis-6019	98	9	a	a	DET
fcis-6019	98	10	high	high	ADJ
fcis-6019	98	11	-	-	PUNCT
fcis-6019	98	12	order	order	NOUN
fcis-6019	98	13	representation	representation	NOUN
fcis-6019	98	14	,	,	PUNCT
fcis-6019	98	15	the	the	DET
fcis-6019	98	16	decoder	decoder	NOUN
fcis-6019	98	17	fills	fill	VERB
fcis-6019	98	18	in	in	ADP
fcis-6019	98	19	the	the	DET
fcis-6019	98	20	face	face	NOUN
fcis-6019	98	21	occlusion	occlusion	NOUN
fcis-6019	98	22	and	and	CCONJ
fcis-6019	98	23	outputs	output	VERB
fcis-6019	98	24	it	it	PRON
fcis-6019	98	25	.	.	PUNCT
fcis-6019	99	1	5	5	X
fcis-6019	99	2	.	.	X
fcis-6019	99	3	conclusions	conclusion	NOUN
fcis-6019	99	4	face	face	VERB
fcis-6019	99	5	recognition	recognition	NOUN
fcis-6019	99	6	technology	technology	NOUN
fcis-6019	99	7	is	be	AUX
fcis-6019	99	8	to	to	PART
fcis-6019	99	9	judge	judge	VERB
fcis-6019	99	10	whether	whether	SCONJ
fcis-6019	99	11	there	there	PRON
fcis-6019	99	12	is	be	VERB
fcis-6019	99	13	face	face	NOUN
fcis-6019	99	14	information	information	NOUN
fcis-6019	99	15	in	in	ADP
fcis-6019	99	16	the	the	DET
fcis-6019	99	17	input	input	NOUN
fcis-6019	99	18	video	video	NOUN
fcis-6019	99	19	stream	stream	NOUN
fcis-6019	99	20	or	or	CCONJ
fcis-6019	99	21	digital	digital	ADJ
fcis-6019	99	22	image	image	NOUN
fcis-6019	99	23	,	,	PUNCT
fcis-6019	99	24	and	and	CCONJ
fcis-6019	99	25	further	far	ADV
fcis-6019	99	26	track	track	VERB
fcis-6019	99	27	the	the	DET
fcis-6019	99	28	position	position	NOUN
fcis-6019	99	29	and	and	CCONJ
fcis-6019	99	30	size	size	NOUN
fcis-6019	99	31	of	of	ADP
fcis-6019	99	32	the	the	DET
fcis-6019	99	33	face	face	NOUN
fcis-6019	99	34	in	in	ADP
fcis-6019	99	35	each	each	DET
fcis-6019	99	36	frame	frame	NOUN
fcis-6019	99	37	of	of	ADP
fcis-6019	99	38	the	the	DET
fcis-6019	99	39	digital	digital	ADJ
fcis-6019	99	40	image	image	NOUN
fcis-6019	99	41	or	or	CCONJ
fcis-6019	99	42	video	video	NOUN
fcis-6019	99	43	to	to	PART
fcis-6019	99	44	realize	realize	VERB
fcis-6019	99	45	identity	identity	NOUN
fcis-6019	99	46	recognition	recognition	NOUN
fcis-6019	99	47	.	.	PUNCT
fcis-6019	100	1	due	due	ADP
fcis-6019	100	2	to	to	ADP
fcis-6019	100	3	the	the	DET
fcis-6019	100	4	prevalence	prevalence	NOUN
fcis-6019	100	5	of	of	ADP
fcis-6019	100	6	epidemic	epidemic	NOUN
fcis-6019	100	7	situation	situation	NOUN
fcis-6019	100	8	,	,	PUNCT
fcis-6019	100	9	face	face	VERB
fcis-6019	100	10	recognition	recognition	NOUN
fcis-6019	100	11	with	with	ADP
fcis-6019	100	12	masks	mask	NOUN
fcis-6019	100	13	has	have	AUX
fcis-6019	100	14	become	become	VERB
fcis-6019	100	15	an	an	DET
fcis-6019	100	16	urgent	urgent	ADJ
fcis-6019	100	17	problem	problem	NOUN
fcis-6019	100	18	.	.	PUNCT
fcis-6019	101	1	in	in	ADP
fcis-6019	101	2	order	order	NOUN
fcis-6019	101	3	to	to	PART
fcis-6019	101	4	supervise	supervise	VERB
fcis-6019	101	5	people	people	NOUN
fcis-6019	101	6	wearing	wear	VERB
fcis-6019	101	7	masks	mask	NOUN
fcis-6019	101	8	in	in	ADP
fcis-6019	101	9	crowded	crowded	ADJ
fcis-6019	101	10	public	public	ADJ
fcis-6019	101	11	places	place	NOUN
fcis-6019	101	12	,	,	PUNCT
fcis-6019	101	13	staff	staff	NOUN
fcis-6019	101	14	members	member	NOUN
fcis-6019	101	15	are	be	AUX
fcis-6019	101	16	even	even	ADV
fcis-6019	101	17	specially	specially	ADV
fcis-6019	101	18	assigned	assign	VERB
fcis-6019	101	19	to	to	PART
fcis-6019	101	20	check	check	VERB
fcis-6019	101	21	whether	whether	SCONJ
fcis-6019	101	22	they	they	PRON
fcis-6019	101	23	wear	wear	VERB
fcis-6019	101	24	masks	mask	NOUN
fcis-6019	101	25	.	.	PUNCT
fcis-6019	102	1	in	in	ADP
fcis-6019	102	2	the	the	DET
fcis-6019	102	3	practical	practical	ADJ
fcis-6019	102	4	application	application	NOUN
fcis-6019	102	5	of	of	ADP
fcis-6019	102	6	face	face	NOUN
fcis-6019	102	7	recognition	recognition	NOUN
fcis-6019	102	8	method	method	NOUN
fcis-6019	102	9	based	base	VERB
fcis-6019	102	10	on	on	ADP
fcis-6019	102	11	mask	mask	NOUN
fcis-6019	102	12	region	region	NOUN
fcis-6019	102	13	repair	repair	NOUN
fcis-6019	102	14	algorithm	algorithm	NOUN
fcis-6019	102	15	,	,	PUNCT
fcis-6019	102	16	it	it	PRON
fcis-6019	102	17	is	be	AUX
fcis-6019	102	18	necessary	necessary	ADJ
fcis-6019	102	19	to	to	PART
fcis-6019	102	20	further	far	ADV
fcis-6019	102	21	optimize	optimize	VERB
fcis-6019	102	22	the	the	DET
fcis-6019	102	23	actual	actual	ADJ
fcis-6019	102	24	performance	performance	NOUN
fcis-6019	102	25	of	of	ADP
fcis-6019	102	26	the	the	DET
fcis-6019	102	27	equipment	equipment	NOUN
fcis-6019	102	28	and	and	CCONJ
fcis-6019	102	29	the	the	DET
fcis-6019	102	30	external	external	ADJ
fcis-6019	102	31	environment	environment	NOUN
fcis-6019	102	32	,	,	PUNCT
fcis-6019	102	33	and	and	CCONJ
fcis-6019	102	34	it	it	PRON
fcis-6019	102	35	is	be	AUX
fcis-6019	102	36	necessary	necessary	ADJ
fcis-6019	102	37	to	to	PART
fcis-6019	102	38	focus	focus	VERB
fcis-6019	102	39	on	on	ADP
fcis-6019	102	40	the	the	DET
fcis-6019	102	41	portability	portability	NOUN
fcis-6019	102	42	of	of	ADP
fcis-6019	102	43	general	general	ADJ
fcis-6019	102	44	equipment	equipment	NOUN
fcis-6019	102	45	in	in	ADP
fcis-6019	102	46	order	order	NOUN
fcis-6019	102	47	to	to	PART
fcis-6019	102	48	deploy	deploy	VERB
fcis-6019	102	49	face	face	NOUN
fcis-6019	102	50	recognition	recognition	NOUN
fcis-6019	102	51	algorithm	algorithm	NOUN
fcis-6019	102	52	on	on	ADP
fcis-6019	102	53	a	a	DET
fcis-6019	102	54	large	large	ADJ
fcis-6019	102	55	scale	scale	NOUN
fcis-6019	102	56	to	to	PART
fcis-6019	102	57	improve	improve	VERB
fcis-6019	102	58	the	the	DET
fcis-6019	102	59	efficiency	efficiency	NOUN
fcis-6019	102	60	of	of	ADP
fcis-6019	102	61	face	face	NOUN
fcis-6019	102	62	recognition	recognition	NOUN
fcis-6019	102	63	in	in	ADP
fcis-6019	102	64	the	the	DET
fcis-6019	102	65	current	current	ADJ
fcis-6019	102	66	complex	complex	ADJ
fcis-6019	102	67	environment	environment	NOUN
fcis-6019	102	68	.	.	PUNCT
fcis-6019	103	1	references	reference	NOUN
fcis-6019	103	2	[	[	X
fcis-6019	103	3	1	1	NUM
fcis-6019	103	4	]	]	X
fcis-6019	103	5	li	li	PROPN
fcis-6019	103	6	yue	yue	PROPN
fcis-6019	103	7	,	,	PUNCT
fcis-6019	103	8	qian	qian	PROPN
fcis-6019	103	9	yaguan	yaguan	PROPN
fcis-6019	103	10	,	,	PUNCT
fcis-6019	103	11	guan	guan	PROPN
fcis-6019	103	12	xiaohui	xiaohui	PROPN
fcis-6019	103	13	,	,	PUNCT
fcis-6019	103	14	li	li	PROPN
fcis-6019	103	15	wei	wei	PROPN
fcis-6019	103	16	,	,	PUNCT
fcis-6019	103	17	wang	wang	PROPN
fcis-6019	103	18	bin,&gu	bin,&gu	PROPN
fcis-6019	103	19	zhaoquan	zhaoquan	PROPN
fcis-6019	103	20	.	.	PUNCT
fcis-6019	104	1	(	(	PUNCT
fcis-6019	104	2	2021	2021	NUM
fcis-6019	104	3	)	)	PUNCT
fcis-6019	104	4	.	.	PUNCT
fcis-6019	105	1	facial	facial	ADJ
fcis-6019	105	2	mask	mask	NOUN
fcis-6019	105	3	region	region	NOUN
fcis-6019	105	4	restoration	restoration	NOUN
fcis-6019	105	5	algorithm	algorithm	NOUN
fcis-6019	105	6	for	for	ADP
fcis-6019	105	7	face	face	NOUN
fcis-6019	105	8	recognition	recognition	NOUN
fcis-6019	105	9	.	.	PUNCT
fcis-6019	106	1	telecommunication	telecommunication	NOUN
fcis-6019	106	2	science	science	NOUN
fcis-6019	106	3	,	,	PUNCT
fcis-6019	106	4	37(8	37(8	NUM
fcis-6019	106	5	)	)	PUNCT
fcis-6019	106	6	,	,	PUNCT
fcis-6019	106	7	11	11	NUM
fcis-6019	106	8	.	.	PUNCT
fcis-6019	107	1	[	[	X
fcis-6019	107	2	2	2	NUM
fcis-6019	107	3	]	]	X
fcis-6019	107	4	niu	niu	PROPN
fcis-6019	107	5	jiaxing	jiaxing	PROPN
fcis-6019	107	6	,	,	PUNCT
fcis-6019	107	7	gao	gao	PROPN
fcis-6019	107	8	xiaopeng	xiaopeng	PROPN
fcis-6019	107	9	,	,	PUNCT
fcis-6019	107	10	zhang	zhang	PROPN
fcis-6019	107	11	lu,&xie	lu,&xie	PROPN
fcis-6019	107	12	xinyi	xinyi	PROPN
fcis-6019	107	13	.	.	PUNCT
fcis-6019	108	1	(	(	PUNCT
fcis-6019	108	2	2022	2022	NUM
fcis-6019	108	3	)	)	PUNCT
fcis-6019	108	4	.	.	PUNCT
fcis-6019	109	1	research	research	NOUN
fcis-6019	109	2	on	on	ADP
fcis-6019	109	3	face	face	NOUN
fcis-6019	109	4	recognition	recognition	NOUN
fcis-6019	109	5	with	with	ADP
fcis-6019	109	6	masks	mask	NOUN
fcis-6019	109	7	based	base	VERB
fcis-6019	109	8	on	on	ADP
fcis-6019	109	9	ssd	ssd	NOUN
fcis-6019	109	10	algorithm	algorithm	NOUN
fcis-6019	109	11	.	.	PUNCT
fcis-6019	110	1	computer	computer	NOUN
fcis-6019	110	2	simulation	simulation	NOUN
fcis-6019	110	3	(	(	PUNCT
fcis-6019	110	4	008	008	NUM
fcis-6019	110	5	)	)	PUNCT
fcis-6019	110	6	,	,	PUNCT
fcis-6019	110	7	039	039	NUM
fcis-6019	110	8	.	.	PUNCT
fcis-6019	111	1	[	[	X
fcis-6019	111	2	3	3	X
fcis-6019	111	3	]	]	X
fcis-6019	111	4	han	han	PROPN
fcis-6019	111	5	xiao	xiao	PROPN
fcis-6019	111	6	,	,	PUNCT
fcis-6019	111	7	ma	ma	PROPN
fcis-6019	111	8	xiang	xiang	PROPN
fcis-6019	111	9	.	.	PUNCT
fcis-6019	111	10	(	(	PUNCT
fcis-6019	111	11	2022	2022	NUM
fcis-6019	111	12	)	)	PUNCT
fcis-6019	111	13	.	.	PUNCT
fcis-6019	112	1	occlusion	occlusion	NOUN
fcis-6019	112	2	face	face	NOUN
fcis-6019	112	3	recognition	recognition	NOUN
fcis-6019	112	4	based	base	VERB
fcis-6019	112	5	on	on	ADP
fcis-6019	112	6	binary	binary	ADJ
fcis-6019	112	7	label	label	NOUN
fcis-6019	112	8	relaxation	relaxation	NOUN
fcis-6019	112	9	model	model	NOUN
fcis-6019	112	10	.	.	PUNCT
fcis-6019	113	1	computer	computer	NOUN
fcis-6019	113	2	technology	technology	NOUN
fcis-6019	113	3	and	and	CCONJ
fcis-6019	113	4	development	development	NOUN
fcis-6019	113	5	,	,	PUNCT
fcis-6019	113	6	32(1	32(1	NUM
fcis-6019	113	7	)	)	PUNCT
fcis-6019	113	8	,	,	PUNCT
fcis-6019	113	9	1	1	NUM
fcis-6019	113	10	-	-	SYM
fcis-6019	113	11	6	6	NUM
fcis-6019	113	12	.	.	PUNCT
fcis-6019	114	1	[	[	X
fcis-6019	114	2	4	4	X
fcis-6019	114	3	]	]	PUNCT
fcis-6019	114	4	jiang	jiang	PROPN
fcis-6019	114	5	shaozhong	shaozhong	PROPN
fcis-6019	114	6	,	,	PUNCT
fcis-6019	114	7	yao	yao	PROPN
fcis-6019	114	8	keming	keming	PROPN
fcis-6019	114	9	,	,	PUNCT
fcis-6019	114	10	chen	chen	PROPN
fcis-6019	114	11	lei	lei	PROPN
fcis-6019	114	12	,	,	PUNCT
fcis-6019	114	13	wang	wang	PROPN
fcis-6019	114	14	zhongzhou,&guo	zhongzhou,&guo	PROPN
fcis-6019	114	15	fuao	fuao	PROPN
fcis-6019	114	16	.	.	PUNCT
fcis-6019	115	1	(	(	PUNCT
fcis-6019	115	2	2023	2023	NUM
fcis-6019	115	3	)	)	PUNCT
fcis-6019	115	4	.	.	PUNCT
fcis-6019	116	1	mask	mask	NOUN
fcis-6019	116	2	face	face	NOUN
fcis-6019	116	3	recognition	recognition	NOUN
fcis-6019	116	4	method	method	NOUN
fcis-6019	116	5	based	base	VERB
fcis-6019	116	6	on	on	ADP
fcis-6019	116	7	cnn	cnn	PROPN
fcis-6019	116	8	and	and	CCONJ
fcis-6019	116	9	transformer	transformer	ADJ
fcis-6019	116	10	mixed	mixed	ADJ
fcis-6019	116	11	model	model	NOUN
fcis-6019	116	12	.	.	PUNCT
fcis-6019	117	1	sensors	sensor	NOUN
fcis-6019	117	2	and	and	CCONJ
fcis-6019	117	3	microsystems	microsystem	NOUN
fcis-6019	117	4	,	,	PUNCT
fcis-6019	117	5	42(1	42(1	NOUN
fcis-6019	117	6	)	)	PUNCT
fcis-6019	117	7	,	,	PUNCT
fcis-6019	117	8	5	5	X
fcis-6019	117	9	.	.	PUNCT
fcis-6019	118	1	[	[	X
fcis-6019	118	2	5	5	NUM
fcis-6019	118	3	]	]	PUNCT
fcis-6019	118	4	wei	wei	PROPN
fcis-6019	118	5	mingjun	mingjun	PROPN
fcis-6019	118	6	,	,	PUNCT
fcis-6019	118	7	zhou	zhou	PROPN
fcis-6019	118	8	taiyu	taiyu	PROPN
fcis-6019	118	9	,	,	PUNCT
fcis-6019	118	10	ji	ji	PROPN
fcis-6019	118	11	zhanlin	zhanlin	PROPN
fcis-6019	118	12	,	,	PUNCT
fcis-6019	118	13	&	&	CCONJ
fcis-6019	118	14	zhang	zhang	PROPN
fcis-6019	118	15	xinnan	xinnan	PROPN
fcis-6019	118	16	.	.	PUNCT
fcis-6019	119	1	(	(	PUNCT
fcis-6019	119	2	2022	2022	NUM
fcis-6019	119	3	)	)	PUNCT
fcis-6019	119	4	.	.	PUNCT
fcis-6019	120	1	mask	mask	NOUN
fcis-6019	120	2	-	-	PUNCT
fcis-6019	120	3	yolo	yolo	NOUN
fcis-6019	120	4	-	-	PUNCT
fcis-6019	120	5	based	base	VERB
fcis-6019	120	6	mask	mask	NOUN
fcis-6019	120	7	wearing	wear	VERB
fcis-6019	120	8	detection	detection	NOUN
fcis-6019	120	9	in	in	ADP
fcis-6019	120	10	complex	complex	ADJ
fcis-6019	120	11	scenes	scene	NOUN
fcis-6019	120	12	.	.	PUNCT
fcis-6019	121	1	journal	journal	NOUN
fcis-6019	121	2	of	of	ADP
fcis-6019	121	3	applied	apply	VERB
fcis-6019	121	4	science	science	NOUN
fcis-6019	121	5	,	,	PUNCT
fcis-6019	121	6	40(1	40(1	NOUN
fcis-6019	121	7	)	)	PUNCT
fcis-6019	121	8	,	,	PUNCT
fcis-6019	121	9	12	12	NUM
fcis-6019	121	10	.	.	PUNCT
fcis-6019	122	1	[	[	X
fcis-6019	122	2	6	6	NUM
fcis-6019	122	3	]	]	SYM
fcis-6019	122	4	li	li	PROPN
fcis-6019	122	5	guojin	guojin	PROPN
fcis-6019	122	6	,	,	PUNCT
fcis-6019	122	7	&	&	CCONJ
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fcis-6019	122	9	.	.	PUNCT
fcis-6019	123	1	(	(	PUNCT
fcis-6019	123	2	2021	2021	NUM
fcis-6019	123	3	)	)	PUNCT
fcis-6019	123	4	.	.	PUNCT
fcis-6019	124	1	face	face	NOUN
fcis-6019	124	2	mask	mask	NOUN
fcis-6019	124	3	detection	detection	NOUN
fcis-6019	124	4	algorithm	algorithm	NOUN
fcis-6019	124	5	based	base	VERB
fcis-6019	124	6	on	on	ADP
fcis-6019	124	7	dcn	dcn	PROPN
fcis-6019	124	8	-	-	PUNCT
fcis-6019	124	9	seres	sere	NOUN
fcis-6019	124	10	-	-	PUNCT
fcis-6019	124	11	yolov3	yolov3	PROPN
fcis-6019	124	12	.	.	PUNCT
fcis-6019	125	1	computer	computer	NOUN
fcis-6019	125	2	and	and	CCONJ
fcis-6019	125	3	modernization	modernization	NOUN
fcis-6019	125	4	,	,	PUNCT
fcis-6019	125	5	2021(009	2021(009	NUM
fcis-6019	125	6	)	)	PUNCT
fcis-6019	125	7	,	,	PUNCT
fcis-6019	125	8	12	12	NUM
fcis-6019	125	9	-	-	PUNCT
fcis-6019	125	10	20,30	20,30	NUM
fcis-6019	125	11	.	.	PUNCT
fcis-6019	126	1	[	[	X
fcis-6019	126	2	7	7	X
fcis-6019	126	3	]	]	X
fcis-6019	126	4	jia	jia	PROPN
fcis-6019	126	5	ruiqi	ruiqi	PROPN
fcis-6019	126	6	,	,	PUNCT
fcis-6019	126	7	du	du	PROPN
fcis-6019	126	8	haipeng	haipeng	PROPN
fcis-6019	126	9	,	,	PUNCT
fcis-6019	126	10	kong	kong	PROPN
fcis-6019	126	11	xue	xue	PROPN
fcis-6019	126	12	,	,	PUNCT
fcis-6019	126	13	&	&	CCONJ
fcis-6019	126	14	zhao	zhao	PROPN
fcis-6019	126	15	huilin	huilin	PROPN
fcis-6019	126	16	.	.	PUNCT
fcis-6019	127	1	(	(	PUNCT
fcis-6019	127	2	2021	2021	NUM
fcis-6019	127	3	)	)	PUNCT
fcis-6019	127	4	.	.	PUNCT
fcis-6019	128	1	design	design	NOUN
fcis-6019	128	2	and	and	CCONJ
fcis-6019	128	3	implementation	implementation	NOUN
fcis-6019	128	4	of	of	ADP
fcis-6019	128	5	an	an	DET
fcis-6019	128	6	intelligent	intelligent	ADJ
fcis-6019	128	7	system	system	NOUN
fcis-6019	128	8	for	for	ADP
fcis-6019	128	9	wearing	wear	VERB
fcis-6019	128	10	masks	mask	NOUN
fcis-6019	128	11	based	base	VERB
fcis-6019	128	12	on	on	ADP
fcis-6019	128	13	edge	edge	NOUN
fcis-6019	128	14	computing	computing	NOUN
fcis-6019	128	15	.	.	PUNCT
fcis-6019	129	1	modern	modern	ADJ
fcis-6019	129	2	electronic	electronic	ADJ
fcis-6019	129	3	technology	technology	NOUN
fcis-6019	129	4	,	,	PUNCT
fcis-6019	129	5	44(15	44(15	PROPN
fcis-6019	129	6	)	)	PUNCT
fcis-6019	129	7	,	,	PUNCT
fcis-6019	129	8	5	5	X
fcis-6019	129	9	.	.	PUNCT
fcis-6019	130	1	[	[	X
fcis-6019	130	2	8	8	NUM
fcis-6019	130	3	]	]	X
fcis-6019	130	4	wen	wen	PROPN
fcis-6019	130	5	,	,	PUNCT
fcis-6019	130	6	y	y	PROPN
fcis-6019	130	7	,	,	PUNCT
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fcis-6019	130	9	,	,	PUNCT
fcis-6019	130	10	w.	w.	PROPN
fcis-6019	130	11	,	,	PUNCT
fcis-6019	130	12	yang	yang	PROPN
fcis-6019	130	13	,	,	PUNCT
fcis-6019	130	14	m.	m.	NOUN
fcis-6019	130	15	,	,	PUNCT
fcis-6019	130	16	fu	fu	PROPN
fcis-6019	130	17	,	,	PUNCT
fcis-6019	130	18	y.	y.	PROPN
fcis-6019	130	19	,	,	PUNCT
fcis-6019	130	20	xiang	xiang	PROPN
fcis-6019	130	21	,	,	PUNCT
fcis-6019	130	22	y.	y.	PROPN
fcis-6019	130	23	,	,	PUNCT
fcis-6019	130	24	&	&	CCONJ
fcis-6019	130	25	hu	hu	PROPN
fcis-6019	130	26	,	,	PUNCT
fcis-6019	130	27	r.	r.	PROPN
fcis-6019	130	28	(	(	PUNCT
fcis-6019	130	29	2016	2016	NUM
fcis-6019	130	30	)	)	PUNCT
fcis-6019	130	31	.	.	PUNCT
fcis-6019	131	1	structured	structure	VERB
fcis-6019	131	2	occlusion	occlusion	NOUN
fcis-6019	131	3	coding	code	VERB
fcis-6019	131	4	for	for	ADP
fcis-6019	131	5	robust	robust	ADJ
fcis-6019	131	6	face	face	NOUN
fcis-6019	131	7	recognition	recognition	NOUN
fcis-6019	131	8	.	.	PUNCT
fcis-6019	132	1	neurocomputing	neurocomputing	NOUN
fcis-6019	132	2	,	,	PUNCT
fcis-6019	132	3	178(feb.20	178(feb.20	NUM
fcis-6019	132	4	)	)	PUNCT
fcis-6019	132	5	,	,	PUNCT
fcis-6019	132	6	11	11	NUM
fcis-6019	132	7	-	-	SYM
fcis-6019	132	8	24	24	NUM
fcis-6019	132	9	.	.	PUNCT
fcis-6019	133	1	[	[	X
fcis-6019	133	2	9	9	NUM
fcis-6019	133	3	]	]	X
fcis-6019	133	4	zhao	zhao	PROPN
fcis-6019	133	5	,	,	PUNCT
fcis-6019	133	6	s.	s.	PROPN
fcis-6019	133	7	,	,	PUNCT
fcis-6019	133	8	&	&	CCONJ
fcis-6019	133	9	hu	hu	PROPN
fcis-6019	133	10	,	,	PUNCT
fcis-6019	133	11	z.	z.	PROPN
fcis-6019	133	12	p.	p.	PROPN
fcis-6019	133	13	(	(	PUNCT
fcis-6019	133	14	2015	2015	NUM
fcis-6019	133	15	)	)	PUNCT
fcis-6019	133	16	.	.	PUNCT
fcis-6019	134	1	a	a	DET
fcis-6019	134	2	modular	modular	ADJ
fcis-6019	134	3	weighted	weight	VERB
fcis-6019	134	4	sparse	sparse	ADJ
fcis-6019	134	5	representation	representation	NOUN
fcis-6019	134	6	based	base	VERB
fcis-6019	134	7	on	on	ADP
fcis-6019	134	8	fisher	fisher	PROPN
fcis-6019	134	9	discriminant	discriminant	NOUN
fcis-6019	134	10	and	and	CCONJ
fcis-6019	134	11	sparse	sparse	VERB
fcis-6019	134	12	residual	residual	ADJ
fcis-6019	134	13	for	for	ADP
fcis-6019	134	14	face	face	NOUN
fcis-6019	134	15	recognition	recognition	NOUN
fcis-6019	134	16	with	with	ADP
fcis-6019	134	17	occlusion	occlusion	NOUN
fcis-6019	134	18	.	.	PUNCT
fcis-6019	135	1	information	information	NOUN
fcis-6019	135	2	processing	processing	NOUN
fcis-6019	135	3	letters	letter	NOUN
fcis-6019	135	4	,	,	PUNCT
fcis-6019	135	5	115(9	115(9	NUM
fcis-6019	135	6	)	)	PUNCT
fcis-6019	135	7	,	,	PUNCT
fcis-6019	135	8	677	677	NUM
fcis-6019	135	9	-	-	SYM
fcis-6019	135	10	683	683	NUM
fcis-6019	135	11	.	.	PUNCT
fcis-6019	136	1	29	29	NUM
fcis-6019	137	1	[	[	SYM
fcis-6019	137	2	10	10	NUM
fcis-6019	137	3	]	]	X
fcis-6019	137	4	du	du	X
fcis-6019	137	5	,	,	PUNCT
fcis-6019	137	6	l	l	NOUN
fcis-6019	137	7	,	,	PUNCT
fcis-6019	137	8	&	&	CCONJ
fcis-6019	137	9	hu	hu	PROPN
fcis-6019	137	10	,	,	PUNCT
fcis-6019	137	11	h.	h.	PROPN
fcis-6019	137	12	(	(	PUNCT
fcis-6019	137	13	2019	2019	NUM
fcis-6019	137	14	)	)	PUNCT
fcis-6019	137	15	.	.	PUNCT
fcis-6019	138	1	nuclear	nuclear	ADJ
fcis-6019	138	2	norm	norm	NOUN
fcis-6019	138	3	based	base	VERB
fcis-6019	138	4	adapted	adapt	VERB
fcis-6019	138	5	occlusion	occlusion	NOUN
fcis-6019	138	6	dictionary	dictionary	NOUN
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fcis-6019	138	8	for	for	ADP
fcis-6019	138	9	face	face	NOUN
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fcis-6019	138	11	with	with	ADP
fcis-6019	138	12	occlusion	occlusion	NOUN
fcis-6019	138	13	and	and	CCONJ
fcis-6019	138	14	illumination	illumination	NOUN
fcis-6019	138	15	changes	change	NOUN
fcis-6019	138	16	.	.	PUNCT
fcis-6019	139	1	neurocomputing	neurocomputing	NOUN
fcis-6019	139	2	,	,	PUNCT
fcis-6019	139	3	340(7	340(7	NUM
fcis-6019	139	4	)	)	PUNCT
fcis-6019	139	5	,	,	PUNCT
fcis-6019	139	6	133	133	NUM
fcis-6019	139	7	-	-	SYM
fcis-6019	139	8	144	144	NUM
fcis-6019	139	9	.	.	PUNCT
fcis-6019	140	1	[	[	X
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fcis-6019	140	3	]	]	X
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fcis-6019	140	5	,	,	PUNCT
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fcis-6019	140	7	-	-	PUNCT
fcis-6019	140	8	huan	huan	PROPN
fcis-6019	140	9	,	,	PUNCT
fcis-6019	140	10	hu	hu	PROPN
fcis-6019	140	11	,	,	PUNCT
fcis-6019	140	12	&	&	CCONJ
fcis-6019	140	13	zheng	zheng	PROPN
fcis-6019	140	14	-	-	PUNCT
fcis-6019	140	15	ping	ping	PROPN
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fcis-6019	141	1	(	(	PUNCT
fcis-6019	141	2	2016	2016	NUM
fcis-6019	141	3	)	)	PUNCT
fcis-6019	141	4	.	.	PUNCT
fcis-6019	142	1	occluded	occlude	VERB
fcis-6019	142	2	face	face	NOUN
fcis-6019	142	3	recognition	recognition	NOUN
fcis-6019	142	4	based	base	VERB
fcis-6019	142	5	on	on	ADP
fcis-6019	142	6	block	block	NOUN
fcis-6019	142	7	-	-	PUNCT
fcis-6019	142	8	label	label	NOUN
fcis-6019	142	9	and	and	CCONJ
fcis-6019	142	10	residual	residual	ADJ
fcis-6019	142	11	.	.	PUNCT
fcis-6019	143	1	international	international	ADJ
fcis-6019	143	2	journal	journal	NOUN
fcis-6019	143	3	on	on	ADP
fcis-6019	143	4	artificial	artificial	ADJ
fcis-6019	143	5	intelligence	intelligence	NOUN
fcis-6019	143	6	tools	tool	NOUN
fcis-6019	143	7	,	,	PUNCT
fcis-6019	143	8	25(3	25(3	NUM
fcis-6019	143	9	)	)	PUNCT
fcis-6019	143	10	,	,	PUNCT
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fcis-6019	144	7	,	,	PUNCT
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fcis-6019	144	9	,	,	PUNCT
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fcis-6019	144	18	)	)	PUNCT
fcis-6019	144	19	.	.	PUNCT
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fcis-6019	145	6	face	face	NOUN
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fcis-6019	145	9	single	single	ADJ
fcis-6019	145	10	sample	sample	NOUN
fcis-6019	145	11	per	per	ADP
fcis-6019	145	12	person	person	NOUN
fcis-6019	145	13	.	.	PUNCT
fcis-6019	146	1	ieee	ieee	PROPN
fcis-6019	146	2	/caa	/caa	PROPN
fcis-6019	146	3	journal	journal	PROPN
fcis-6019	146	4	of	of	ADP
fcis-6019	146	5	automatica	automatica	PROPN
fcis-6019	146	6	sinica	sinica	PROPN
fcis-6019	146	7	,	,	PUNCT
fcis-6019	146	8	2018(02	2018(02	NUM
fcis-6019	146	9	)	)	PUNCT
fcis-6019	146	10	,	,	PUNCT
fcis-6019	146	11	18	18	NUM
fcis-6019	146	12	.	.	PUNCT
fcis-6019	147	1	[	[	X
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fcis-6019	147	3	]	]	X
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fcis-6019	147	6	d.	d.	PROPN
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fcis-6019	147	25	2019	2019	NUM
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fcis-6019	147	27	.	.	PUNCT
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fcis-6019	148	7	application	application	NOUN
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fcis-6019	148	13	.	.	PUNCT
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fcis-6019	152	6	xuebao	xuebao	PROPN
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fcis-6019	152	8	journal	journal	NOUN
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fcis-6019	152	10	computer	computer	NOUN
fcis-6019	152	11	-	-	PUNCT
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fcis-6019	152	17	,	,	PUNCT
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fcis-6019	165	7	-	-	SYM
fcis-6019	165	8	124	124	NUM
fcis-6019	165	9	.	.	PUNCT
fcis-6019	166	1	[	[	X
fcis-6019	166	2	20	20	NUM
fcis-6019	166	3	]	]	X
fcis-6019	166	4	zheng	zheng	PROPN
fcis-6019	166	5	,	,	PUNCT
fcis-6019	166	6	j.	j.	PROPN
fcis-6019	166	7	,	,	PUNCT
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fcis-6019	166	9	,	,	PUNCT
fcis-6019	166	10	y.	y.	PROPN
fcis-6019	166	11	,	,	PUNCT
fcis-6019	166	12	chen	chen	PROPN
fcis-6019	166	13	,	,	PUNCT
fcis-6019	166	14	s.	s.	PROPN
fcis-6019	166	15	,	,	PUNCT
fcis-6019	166	16	shen	shen	PROPN
fcis-6019	166	17	,	,	PUNCT
fcis-6019	166	18	g.	g.	PROPN
fcis-6019	166	19	,	,	PUNCT
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fcis-6019	166	22	,	,	PUNCT
fcis-6019	166	23	w.	w.	PROPN
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fcis-6019	166	25	2017	2017	NUM
fcis-6019	166	26	)	)	PUNCT
fcis-6019	166	27	.	.	PUNCT
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fcis-6019	167	3	-	-	ADJ
fcis-6019	167	4	constrained	constrain	VERB
fcis-6019	167	5	group	group	NOUN
fcis-6019	167	6	sparse	sparse	ADJ
fcis-6019	167	7	face	face	VERB
fcis-6019	167	8	recognition	recognition	NOUN
fcis-6019	167	9	with	with	ADP
fcis-6019	167	10	adaptive	adaptive	ADJ
fcis-6019	167	11	weights	weight	NOUN
fcis-6019	167	12	learning	learning	NOUN
fcis-6019	167	13	.	.	PUNCT
fcis-6019	168	1	ieee	ieee	NOUN
fcis-6019	168	2	transactions	transaction	NOUN
fcis-6019	168	3	on	on	ADP
fcis-6019	168	4	image	image	NOUN
fcis-6019	168	5	processing	processing	NOUN
fcis-6019	168	6	,	,	PUNCT
fcis-6019	168	7	26(5	26(5	NUM
fcis-6019	168	8	)	)	PUNCT
fcis-6019	168	9	,	,	PUNCT
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fcis-6019	168	11	-	-	SYM
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fcis-6019	169	3	]	]	X
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fcis-6019	169	5	,	,	PUNCT
fcis-6019	169	6	g	g	PROPN
fcis-6019	169	7	,	,	PUNCT
fcis-6019	169	8	reddy	reddy	PROPN
fcis-6019	169	9	,	,	PUNCT
fcis-6019	169	10	g.	g.	PROPN
fcis-6019	169	11	h.	h.	PROPN
fcis-6019	169	12	,	,	PUNCT
fcis-6019	169	13	&	&	CCONJ
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fcis-6019	169	15	,	,	PUNCT
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fcis-6019	169	17	(	(	PUNCT
fcis-6019	169	18	2022	2022	NUM
fcis-6019	169	19	)	)	PUNCT
fcis-6019	169	20	.	.	PUNCT
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fcis-6019	170	2	:	:	PUNCT
fcis-6019	170	3	optimized	optimize	VERB
fcis-6019	170	4	face	face	NOUN
fcis-6019	170	5	recognition	recognition	NOUN
fcis-6019	170	6	network	network	NOUN
fcis-6019	170	7	for	for	ADP
fcis-6019	170	8	noise	noise	NOUN
fcis-6019	170	9	and	and	CCONJ
fcis-6019	170	10	occlusion	occlusion	NOUN
fcis-6019	170	11	affected	affect	VERB
fcis-6019	170	12	face	face	VERB
fcis-6019	170	13	images	image	NOUN
fcis-6019	170	14	using	use	VERB
fcis-6019	170	15	hyperparameters	hyperparameter	NOUN
fcis-6019	170	16	tuned	tune	VERB
fcis-6019	170	17	convolutional	convolutional	ADJ
fcis-6019	170	18	neural	neural	ADJ
fcis-6019	170	19	network	network	NOUN
fcis-6019	170	20	.	.	PUNCT
fcis-6019	171	1	applied	apply	VERB
fcis-6019	171	2	soft	soft	ADJ
fcis-6019	171	3	computing	computing	NOUN
fcis-6019	171	4	,	,	PUNCT
fcis-6019	171	5	2022(117	2022(117	NUM
fcis-6019	171	6	)	)	PUNCT
fcis-6019	171	7	,	,	PUNCT
fcis-6019	171	8	117	117	NUM
fcis-6019	171	9	.	.	PUNCT
fcis-6019	172	1	[	[	X
fcis-6019	172	2	22	22	NUM
fcis-6019	172	3	]	]	PUNCT
fcis-6019	172	4	anna	anna	PROPN
fcis-6019	172	5	,	,	PUNCT
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fcis-6019	172	7	,	,	PUNCT
fcis-6019	172	8	bobak	bobak	PROPN
fcis-6019	172	9	,	,	PUNCT
fcis-6019	172	10	andrew	andrew	PROPN
fcis-6019	172	11	,	,	PUNCT
fcis-6019	172	12	james	james	PROPN
fcis-6019	172	13	,	,	PUNCT
fcis-6019	172	14	&	&	CCONJ
fcis-6019	172	15	dowsett	dowsett	PROPN
fcis-6019	172	16	.	.	PUNCT
fcis-6019	173	1	(	(	PUNCT
fcis-6019	173	2	2016	2016	NUM
fcis-6019	173	3	)	)	PUNCT
fcis-6019	173	4	.	.	PUNCT
fcis-6019	174	1	solving	solve	VERB
fcis-6019	174	2	the	the	DET
fcis-6019	174	3	border	border	NOUN
fcis-6019	174	4	control	control	NOUN
fcis-6019	174	5	problem	problem	NOUN
fcis-6019	174	6	:	:	PUNCT
fcis-6019	174	7	evidence	evidence	NOUN
fcis-6019	174	8	of	of	ADP
fcis-6019	174	9	enhanced	enhanced	ADJ
fcis-6019	174	10	face	face	NOUN
fcis-6019	174	11	matching	match	VERB
fcis-6019	174	12	in	in	ADP
fcis-6019	174	13	individuals	individual	NOUN
fcis-6019	174	14	with	with	ADP
fcis-6019	174	15	extraordinary	extraordinary	ADJ
fcis-6019	174	16	face	face	NOUN
fcis-6019	174	17	recognition	recognition	NOUN
fcis-6019	174	18	skills	skill	NOUN
fcis-6019	174	19	.	.	PUNCT
fcis-6019	175	1	plos	plos	PROPN
fcis-6019	175	2	one	one	NUM
fcis-6019	175	3	,	,	PUNCT
fcis-6019	175	4	11(2	11(2	NUM
fcis-6019	175	5	)	)	PUNCT
fcis-6019	175	6	,	,	PUNCT
fcis-6019	175	7	148	148	NUM
fcis-6019	175	8	.	.	PUNCT
fcis-6019	176	1	[	[	X
fcis-6019	176	2	23	23	NUM
fcis-6019	176	3	]	]	PUNCT
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fcis-6019	176	5	,	,	PUNCT
fcis-6019	176	6	a	a	PRON
fcis-6019	176	7	,	,	PUNCT
fcis-6019	176	8	&	&	CCONJ
fcis-6019	176	9	ebrahimnezhad	ebrahimnezhad	PROPN
fcis-6019	176	10	,	,	PUNCT
fcis-6019	176	11	h.	h.	PROPN
fcis-6019	176	12	(	(	PUNCT
fcis-6019	176	13	2020	2020	NUM
fcis-6019	176	14	)	)	PUNCT
fcis-6019	176	15	.	.	PUNCT
fcis-6019	177	1	pose	pose	VERB
fcis-6019	177	2	-	-	PUNCT
fcis-6019	177	3	invariant	invariant	ADJ
fcis-6019	177	4	face	face	NOUN
fcis-6019	177	5	recognition	recognition	NOUN
fcis-6019	177	6	based	base	VERB
fcis-6019	177	7	on	on	ADP
fcis-6019	177	8	matching	match	VERB
fcis-6019	177	9	the	the	DET
fcis-6019	177	10	occlusion	occlusion	NOUN
fcis-6019	177	11	free	free	ADJ
fcis-6019	177	12	regions	region	NOUN
fcis-6019	177	13	aligned	align	VERB
fcis-6019	177	14	by	by	ADP
fcis-6019	177	15	3d	3d	PROPN
fcis-6019	177	16	generic	generic	PROPN
fcis-6019	177	17	model	model	NOUN
fcis-6019	177	18	.	.	PUNCT
fcis-6019	178	1	iet	iet	PROPN
fcis-6019	178	2	computer	computer	PROPN
fcis-6019	178	3	vision	vision	PROPN
fcis-6019	178	4	,	,	PUNCT
fcis-6019	178	5	14(5	14(5	NUM
fcis-6019	178	6	)	)	PUNCT
fcis-6019	178	7	,	,	PUNCT
fcis-6019	178	8	268	268	NUM
fcis-6019	178	9	-	-	SYM
fcis-6019	178	10	277	277	NUM
fcis-6019	178	11	.	.	PUNCT