id	sid	tid	token	lemma	pos
fcis-11846	1	1	frontiers	frontier	NOUN
fcis-11846	1	2	in	in	ADP
fcis-11846	1	3	computing	computing	NOUN
fcis-11846	1	4	and	and	CCONJ
fcis-11846	1	5	intelligent	intelligent	ADJ
fcis-11846	1	6	systems	system	NOUN
fcis-11846	1	7	issn	issn	VERB
fcis-11846	1	8	:	:	PUNCT
fcis-11846	1	9	2832	2832	NUM
fcis-11846	1	10	-	-	SYM
fcis-11846	1	11	6024	6024	NUM
fcis-11846	1	12	|	|	NOUN
fcis-11846	1	13	vol	vol	NOUN
fcis-11846	1	14	.	.	PROPN
fcis-11846	2	1	5	5	NUM
fcis-11846	2	2	,	,	PUNCT
fcis-11846	2	3	no	no	INTJ
fcis-11846	2	4	.	.	NOUN
fcis-11846	2	5	1	1	NUM
fcis-11846	2	6	,	,	PUNCT
fcis-11846	2	7	2023	2023	NUM
fcis-11846	2	8	87	87	NUM
fcis-11846	2	9	adversarial	adversarial	ADJ
fcis-11846	2	10	training	training	NOUN
fcis-11846	2	11	of	of	ADP
fcis-11846	2	12	swinir	swinir	NOUN
fcis-11846	2	13	model	model	NOUN
fcis-11846	2	14	for	for	ADP
fcis-11846	2	15	face	face	NOUN
fcis-11846	2	16	super‐	super‐	NOUN
fcis-11846	2	17	resolution	resolution	NOUN
fcis-11846	2	18	processing	processing	NOUN
fcis-11846	2	19	hongjun	hongjun	NOUN
fcis-11846	2	20	lin	lin	PROPN
fcis-11846	2	21	*	*	PUNCT
fcis-11846	2	22	school	school	NOUN
fcis-11846	2	23	of	of	ADP
fcis-11846	2	24	computing	computing	PROPN
fcis-11846	2	25	,	,	PUNCT
fcis-11846	2	26	china	china	PROPN
fcis-11846	2	27	university	university	PROPN
fcis-11846	2	28	of	of	ADP
fcis-11846	2	29	geosciences	geoscience	NOUN
fcis-11846	2	30	,	,	PUNCT
fcis-11846	2	31	wuhan	wuhan	PROPN
fcis-11846	2	32	,	,	PUNCT
fcis-11846	2	33	430074	430074	NUM
fcis-11846	2	34	,	,	PUNCT
fcis-11846	2	35	china	china	PROPN
fcis-11846	2	36	*	*	PUNCT
fcis-11846	2	37	corresponding	correspond	VERB
fcis-11846	2	38	author	author	NOUN
fcis-11846	2	39	email	email	NOUN
fcis-11846	2	40	:	:	PUNCT
fcis-11846	3	1	lin2669875691@gmail.com	lin2669875691@gmail.com	PROPN
fcis-11846	3	2	abstract	abstract	NOUN
fcis-11846	3	3	:	:	PUNCT
fcis-11846	3	4	this	this	DET
fcis-11846	3	5	research	research	NOUN
fcis-11846	3	6	aims	aim	VERB
fcis-11846	3	7	to	to	PART
fcis-11846	3	8	apply	apply	VERB
fcis-11846	3	9	the	the	DET
fcis-11846	3	10	swinir	swinir	NOUN
fcis-11846	3	11	model	model	NOUN
fcis-11846	3	12	to	to	PART
fcis-11846	3	13	perform	perform	VERB
fcis-11846	3	14	face	face	NOUN
fcis-11846	3	15	image	image	NOUN
fcis-11846	3	16	super	super	ADJ
fcis-11846	3	17	-	-	ADJ
fcis-11846	3	18	resolution	resolution	ADJ
fcis-11846	3	19	processing	processing	NOUN
fcis-11846	3	20	using	use	VERB
fcis-11846	3	21	adversarial	adversarial	ADJ
fcis-11846	3	22	training	training	NOUN
fcis-11846	3	23	techniques	technique	NOUN
fcis-11846	3	24	,	,	PUNCT
fcis-11846	3	25	thereby	thereby	ADV
fcis-11846	3	26	enhancing	enhance	VERB
fcis-11846	3	27	facial	facial	ADJ
fcis-11846	3	28	image	image	NOUN
fcis-11846	3	29	features	feature	NOUN
fcis-11846	3	30	.	.	PUNCT
fcis-11846	4	1	with	with	ADP
fcis-11846	4	2	the	the	DET
fcis-11846	4	3	rapid	rapid	ADJ
fcis-11846	4	4	development	development	NOUN
fcis-11846	4	5	of	of	ADP
fcis-11846	4	6	computer	computer	NOUN
fcis-11846	4	7	vision	vision	NOUN
fcis-11846	4	8	and	and	CCONJ
fcis-11846	4	9	artificial	artificial	ADJ
fcis-11846	4	10	intelligence	intelligence	NOUN
fcis-11846	4	11	technologies	technology	NOUN
fcis-11846	4	12	,	,	PUNCT
fcis-11846	4	13	face	face	VERB
fcis-11846	4	14	image	image	NOUN
fcis-11846	4	15	super	super	ADJ
fcis-11846	4	16	-	-	ADJ
fcis-11846	4	17	resolution	resolution	ADJ
fcis-11846	4	18	processing	processing	NOUN
fcis-11846	4	19	plays	play	VERB
fcis-11846	4	20	a	a	DET
fcis-11846	4	21	crucial	crucial	ADJ
fcis-11846	4	22	role	role	NOUN
fcis-11846	4	23	in	in	ADP
fcis-11846	4	24	improving	improve	VERB
fcis-11846	4	25	the	the	DET
fcis-11846	4	26	accuracy	accuracy	NOUN
fcis-11846	4	27	and	and	CCONJ
fcis-11846	4	28	performance	performance	NOUN
fcis-11846	4	29	of	of	ADP
fcis-11846	4	30	facial	facial	ADJ
fcis-11846	4	31	recognition	recognition	NOUN
fcis-11846	4	32	and	and	CCONJ
fcis-11846	4	33	related	related	ADJ
fcis-11846	4	34	applications	application	NOUN
fcis-11846	4	35	.	.	PUNCT
fcis-11846	5	1	firstly	firstly	ADV
fcis-11846	5	2	,	,	PUNCT
fcis-11846	5	3	we	we	PRON
fcis-11846	5	4	introduce	introduce	VERB
fcis-11846	5	5	the	the	DET
fcis-11846	5	6	basic	basic	ADJ
fcis-11846	5	7	principles	principle	NOUN
fcis-11846	5	8	of	of	ADP
fcis-11846	5	9	adversarial	adversarial	ADJ
fcis-11846	5	10	training	training	NOUN
fcis-11846	5	11	and	and	CCONJ
fcis-11846	5	12	provide	provide	VERB
fcis-11846	5	13	a	a	DET
fcis-11846	5	14	detailed	detailed	ADJ
fcis-11846	5	15	overview	overview	NOUN
fcis-11846	5	16	of	of	ADP
fcis-11846	5	17	the	the	DET
fcis-11846	5	18	architecture	architecture	NOUN
fcis-11846	5	19	and	and	CCONJ
fcis-11846	5	20	characteristics	characteristic	NOUN
fcis-11846	5	21	of	of	ADP
fcis-11846	5	22	the	the	DET
fcis-11846	5	23	swinir	swinir	NOUN
fcis-11846	5	24	model	model	NOUN
fcis-11846	5	25	.	.	PUNCT
fcis-11846	6	1	this	this	DET
fcis-11846	6	2	model	model	NOUN
fcis-11846	6	3	demonstrates	demonstrate	VERB
fcis-11846	6	4	excellent	excellent	ADJ
fcis-11846	6	5	performance	performance	NOUN
fcis-11846	6	6	in	in	ADP
fcis-11846	6	7	super	super	ADJ
fcis-11846	6	8	-	-	ADJ
fcis-11846	6	9	resolution	resolution	ADJ
fcis-11846	6	10	tasks	task	NOUN
fcis-11846	6	11	,	,	PUNCT
fcis-11846	6	12	exhibiting	exhibit	VERB
fcis-11846	6	13	high	high	ADJ
fcis-11846	6	14	feature	feature	NOUN
fcis-11846	6	15	extraction	extraction	NOUN
fcis-11846	6	16	and	and	CCONJ
fcis-11846	6	17	image	image	NOUN
fcis-11846	6	18	reconstruction	reconstruction	NOUN
fcis-11846	6	19	capabilities	capability	NOUN
fcis-11846	6	20	.	.	PUNCT
fcis-11846	7	1	next	next	ADV
fcis-11846	7	2	,	,	PUNCT
fcis-11846	7	3	we	we	PRON
fcis-11846	7	4	describe	describe	VERB
fcis-11846	7	5	the	the	DET
fcis-11846	7	6	experimental	experimental	ADJ
fcis-11846	7	7	design	design	NOUN
fcis-11846	7	8	and	and	CCONJ
fcis-11846	7	9	dataset	dataset	NOUN
fcis-11846	7	10	selection	selection	NOUN
fcis-11846	7	11	.	.	PUNCT
fcis-11846	8	1	through	through	ADP
fcis-11846	8	2	extensive	extensive	ADJ
fcis-11846	8	3	experiments	experiment	NOUN
fcis-11846	8	4	,	,	PUNCT
fcis-11846	8	5	we	we	PRON
fcis-11846	8	6	compare	compare	VERB
fcis-11846	8	7	the	the	DET
fcis-11846	8	8	quality	quality	NOUN
fcis-11846	8	9	and	and	CCONJ
fcis-11846	8	10	feature	feature	NOUN
fcis-11846	8	11	representation	representation	NOUN
fcis-11846	8	12	of	of	ADP
fcis-11846	8	13	face	face	NOUN
fcis-11846	8	14	images	image	NOUN
fcis-11846	8	15	before	before	ADV
fcis-11846	8	16	and	and	CCONJ
fcis-11846	8	17	after	after	ADP
fcis-11846	8	18	super	super	NOUN
fcis-11846	8	19	-	-	NOUN
fcis-11846	8	20	resolution	resolution	NOUN
fcis-11846	8	21	.	.	PUNCT
fcis-11846	9	1	the	the	DET
fcis-11846	9	2	results	result	NOUN
fcis-11846	9	3	show	show	VERB
fcis-11846	9	4	that	that	SCONJ
fcis-11846	9	5	after	after	ADP
fcis-11846	9	6	undergoing	undergo	VERB
fcis-11846	9	7	super	super	ADJ
fcis-11846	9	8	-	-	ADJ
fcis-11846	9	9	resolution	resolution	NOUN
fcis-11846	9	10	processing	processing	NOUN
fcis-11846	9	11	with	with	ADP
fcis-11846	9	12	the	the	DET
fcis-11846	9	13	swinir	swinir	NOUN
fcis-11846	9	14	model	model	NOUN
fcis-11846	9	15	,	,	PUNCT
fcis-11846	9	16	facial	facial	ADJ
fcis-11846	9	17	images	image	NOUN
fcis-11846	9	18	exhibit	exhibit	VERB
fcis-11846	9	19	significantly	significantly	ADV
fcis-11846	9	20	enhanced	enhance	VERB
fcis-11846	9	21	details	detail	NOUN
fcis-11846	9	22	and	and	CCONJ
fcis-11846	9	23	edges	edge	NOUN
fcis-11846	9	24	,	,	PUNCT
fcis-11846	9	25	leading	lead	VERB
fcis-11846	9	26	to	to	ADP
fcis-11846	9	27	a	a	DET
fcis-11846	9	28	notable	notable	ADJ
fcis-11846	9	29	improvement	improvement	NOUN
fcis-11846	9	30	in	in	ADP
fcis-11846	9	31	image	image	NOUN
fcis-11846	9	32	features	feature	NOUN
fcis-11846	9	33	.	.	PUNCT
fcis-11846	10	1	in	in	ADP
fcis-11846	10	2	summary	summary	NOUN
fcis-11846	10	3	,	,	PUNCT
fcis-11846	10	4	this	this	DET
fcis-11846	10	5	research	research	NOUN
fcis-11846	10	6	successfully	successfully	ADV
fcis-11846	10	7	enhances	enhance	VERB
fcis-11846	10	8	the	the	DET
fcis-11846	10	9	feature	feature	NOUN
fcis-11846	10	10	information	information	NOUN
fcis-11846	10	11	of	of	ADP
fcis-11846	10	12	facial	facial	ADJ
fcis-11846	10	13	images	image	NOUN
fcis-11846	10	14	by	by	ADP
fcis-11846	10	15	applying	apply	VERB
fcis-11846	10	16	the	the	DET
fcis-11846	10	17	swinir	swinir	NOUN
fcis-11846	10	18	model	model	NOUN
fcis-11846	10	19	through	through	ADP
fcis-11846	10	20	adversarial	adversarial	ADJ
fcis-11846	10	21	training	training	NOUN
fcis-11846	10	22	,	,	PUNCT
fcis-11846	10	23	effectively	effectively	ADV
fcis-11846	10	24	improving	improve	VERB
fcis-11846	10	25	the	the	DET
fcis-11846	10	26	details	detail	NOUN
fcis-11846	10	27	of	of	ADP
fcis-11846	10	28	the	the	DET
fcis-11846	10	29	face	face	NOUN
fcis-11846	10	30	.	.	PUNCT
fcis-11846	11	1	this	this	DET
fcis-11846	11	2	research	research	NOUN
fcis-11846	11	3	outcome	outcome	NOUN
fcis-11846	11	4	is	be	AUX
fcis-11846	11	5	of	of	ADP
fcis-11846	11	6	significant	significant	ADJ
fcis-11846	11	7	importance	importance	NOUN
fcis-11846	11	8	in	in	ADP
fcis-11846	11	9	advancing	advance	VERB
fcis-11846	11	10	the	the	DET
fcis-11846	11	11	field	field	NOUN
fcis-11846	11	12	of	of	ADP
fcis-11846	11	13	computer	computer	NOUN
fcis-11846	11	14	vision	vision	NOUN
fcis-11846	11	15	and	and	CCONJ
fcis-11846	11	16	enhancing	enhance	VERB
fcis-11846	11	17	the	the	DET
fcis-11846	11	18	efficiency	efficiency	NOUN
fcis-11846	11	19	and	and	CCONJ
fcis-11846	11	20	accuracy	accuracy	NOUN
fcis-11846	11	21	of	of	ADP
fcis-11846	11	22	artificial	artificial	ADJ
fcis-11846	11	23	intelligence	intelligence	NOUN
fcis-11846	11	24	technologies	technology	NOUN
fcis-11846	11	25	in	in	ADP
fcis-11846	11	26	practical	practical	ADJ
fcis-11846	11	27	applications	application	NOUN
fcis-11846	11	28	.	.	PUNCT
fcis-11846	12	1	keywords	keyword	NOUN
fcis-11846	12	2	:	:	PUNCT
fcis-11846	12	3	swinir	swinir	NOUN
fcis-11846	12	4	;	;	PUNCT
fcis-11846	12	5	super	super	ADJ
fcis-11846	12	6	resolution	resolution	NOUN
fcis-11846	12	7	;	;	PUNCT
fcis-11846	12	8	adversarial	adversarial	ADJ
fcis-11846	12	9	training	training	NOUN
fcis-11846	12	10	;	;	PUNCT
fcis-11846	12	11	face	face	NOUN
fcis-11846	12	12	image	image	NOUN
fcis-11846	12	13	.	.	PUNCT
fcis-11846	13	1	1	1	X
fcis-11846	13	2	.	.	X
fcis-11846	13	3	introduction	introduction	NOUN
fcis-11846	13	4	image	image	NOUN
fcis-11846	13	5	super	super	NOUN
fcis-11846	13	6	-	-	NOUN
fcis-11846	13	7	resolution	resolution	NOUN
fcis-11846	13	8	is	be	AUX
fcis-11846	13	9	an	an	DET
fcis-11846	13	10	important	important	ADJ
fcis-11846	13	11	research	research	NOUN
fcis-11846	13	12	direction	direction	NOUN
fcis-11846	13	13	in	in	ADP
fcis-11846	13	14	the	the	DET
fcis-11846	13	15	field	field	NOUN
fcis-11846	13	16	of	of	ADP
fcis-11846	13	17	computer	computer	NOUN
fcis-11846	13	18	vision	vision	NOUN
fcis-11846	13	19	,	,	PUNCT
fcis-11846	13	20	aiming	aim	VERB
fcis-11846	13	21	to	to	PART
fcis-11846	13	22	restore	restore	VERB
fcis-11846	13	23	lowresolution	lowresolution	NOUN
fcis-11846	13	24	(	(	PUNCT
fcis-11846	13	25	lr	lr	NOUN
fcis-11846	13	26	)	)	PUNCT
fcis-11846	13	27	images	image	NOUN
fcis-11846	13	28	to	to	ADP
fcis-11846	13	29	high	high	ADJ
fcis-11846	13	30	-	-	PUNCT
fcis-11846	13	31	resolution	resolution	NOUN
fcis-11846	13	32	(	(	PUNCT
fcis-11846	13	33	hr	hr	NOUN
fcis-11846	13	34	)	)	PUNCT
fcis-11846	13	35	ones	one	NOUN
fcis-11846	13	36	.	.	PUNCT
fcis-11846	14	1	with	with	ADP
fcis-11846	14	2	the	the	DET
fcis-11846	14	3	widespread	widespread	ADJ
fcis-11846	14	4	application	application	NOUN
fcis-11846	14	5	of	of	ADP
fcis-11846	14	6	digital	digital	ADJ
fcis-11846	14	7	images	image	NOUN
fcis-11846	14	8	in	in	ADP
fcis-11846	14	9	daily	daily	ADJ
fcis-11846	14	10	life	life	NOUN
fcis-11846	14	11	,	,	PUNCT
fcis-11846	14	12	such	such	ADJ
fcis-11846	14	13	as	as	ADP
fcis-11846	14	14	image	image	NOUN
fcis-11846	14	15	acquisition	acquisition	NOUN
fcis-11846	14	16	,	,	PUNCT
fcis-11846	14	17	transmission	transmission	NOUN
fcis-11846	14	18	,	,	PUNCT
fcis-11846	14	19	and	and	CCONJ
fcis-11846	14	20	storage	storage	NOUN
fcis-11846	14	21	,	,	PUNCT
fcis-11846	14	22	high	high	ADJ
fcis-11846	14	23	-	-	PUNCT
fcis-11846	14	24	quality	quality	NOUN
fcis-11846	14	25	image	image	NOUN
fcis-11846	14	26	presentation	presentation	NOUN
fcis-11846	14	27	is	be	AUX
fcis-11846	14	28	critical	critical	ADJ
fcis-11846	14	29	for	for	ADP
fcis-11846	14	30	various	various	ADJ
fcis-11846	14	31	application	application	NOUN
fcis-11846	14	32	scenarios	scenario	NOUN
fcis-11846	14	33	[	[	X
fcis-11846	14	34	1	1	NUM
fcis-11846	14	35	]	]	PUNCT
fcis-11846	14	36	.	.	PUNCT
fcis-11846	15	1	however	however	ADV
fcis-11846	15	2	,	,	PUNCT
fcis-11846	15	3	due	due	ADP
fcis-11846	15	4	to	to	ADP
fcis-11846	15	5	limitations	limitation	NOUN
fcis-11846	15	6	in	in	ADP
fcis-11846	15	7	hardware	hardware	NOUN
fcis-11846	15	8	devices	device	NOUN
fcis-11846	15	9	,	,	PUNCT
fcis-11846	15	10	sensor	sensor	NOUN
fcis-11846	15	11	technologies	technology	NOUN
fcis-11846	15	12	,	,	PUNCT
fcis-11846	15	13	or	or	CCONJ
fcis-11846	15	14	network	network	NOUN
fcis-11846	15	15	bandwidth	bandwidth	NOUN
fcis-11846	15	16	,	,	PUNCT
fcis-11846	15	17	the	the	DET
fcis-11846	15	18	images	image	NOUN
fcis-11846	15	19	obtained	obtain	VERB
fcis-11846	15	20	in	in	ADP
fcis-11846	15	21	many	many	ADJ
fcis-11846	15	22	cases	case	NOUN
fcis-11846	15	23	often	often	ADV
fcis-11846	15	24	have	have	VERB
fcis-11846	15	25	low	low	ADJ
fcis-11846	15	26	resolution	resolution	NOUN
fcis-11846	15	27	,	,	PUNCT
fcis-11846	15	28	resulting	result	VERB
fcis-11846	15	29	in	in	ADP
fcis-11846	15	30	insufficient	insufficient	ADJ
fcis-11846	15	31	image	image	NOUN
fcis-11846	15	32	details	detail	NOUN
fcis-11846	15	33	and	and	CCONJ
fcis-11846	15	34	poor	poor	ADJ
fcis-11846	15	35	visual	visual	ADJ
fcis-11846	15	36	quality	quality	NOUN
fcis-11846	15	37	.	.	PUNCT
fcis-11846	16	1	to	to	PART
fcis-11846	16	2	address	address	VERB
fcis-11846	16	3	this	this	DET
fcis-11846	16	4	issue	issue	NOUN
fcis-11846	16	5	,	,	PUNCT
fcis-11846	16	6	image	image	NOUN
fcis-11846	16	7	super	super	ADJ
fcis-11846	16	8	-	-	ADJ
fcis-11846	16	9	resolution	resolution	ADJ
fcis-11846	16	10	techniques	technique	NOUN
fcis-11846	16	11	have	have	AUX
fcis-11846	16	12	been	be	AUX
fcis-11846	16	13	proposed	propose	VERB
fcis-11846	16	14	to	to	PART
fcis-11846	16	15	enhance	enhance	VERB
fcis-11846	16	16	the	the	DET
fcis-11846	16	17	visual	visual	ADJ
fcis-11846	16	18	quality	quality	NOUN
fcis-11846	16	19	and	and	CCONJ
fcis-11846	16	20	usability	usability	NOUN
fcis-11846	16	21	of	of	ADP
fcis-11846	16	22	low	low	ADJ
fcis-11846	16	23	-	-	PUNCT
fcis-11846	16	24	resolution	resolution	NOUN
fcis-11846	16	25	images	image	NOUN
fcis-11846	16	26	by	by	ADP
fcis-11846	16	27	restoring	restore	VERB
fcis-11846	16	28	lost	lose	VERB
fcis-11846	16	29	details	detail	NOUN
fcis-11846	16	30	and	and	CCONJ
fcis-11846	16	31	information	information	NOUN
fcis-11846	16	32	.	.	PUNCT
fcis-11846	17	1	traditional	traditional	ADJ
fcis-11846	17	2	image	image	NOUN
fcis-11846	17	3	super	super	ADJ
fcis-11846	17	4	-	-	ADJ
fcis-11846	17	5	resolution	resolution	ADJ
fcis-11846	17	6	methods	method	NOUN
fcis-11846	17	7	are	be	AUX
fcis-11846	17	8	mainly	mainly	ADV
fcis-11846	17	9	based	base	VERB
fcis-11846	17	10	on	on	ADP
fcis-11846	17	11	interpolation	interpolation	NOUN
fcis-11846	17	12	techniques	technique	NOUN
fcis-11846	17	13	or	or	CCONJ
fcis-11846	17	14	statistical	statistical	ADJ
fcis-11846	17	15	methods	method	NOUN
fcis-11846	17	16	[	[	X
fcis-11846	17	17	2	2	NUM
fcis-11846	17	18	]	]	PUNCT
fcis-11846	17	19	,	,	PUNCT
fcis-11846	17	20	but	but	CCONJ
fcis-11846	17	21	they	they	PRON
fcis-11846	17	22	have	have	VERB
fcis-11846	17	23	limited	limit	VERB
fcis-11846	17	24	effectiveness	effectiveness	NOUN
fcis-11846	17	25	in	in	ADP
fcis-11846	17	26	handling	handle	VERB
fcis-11846	17	27	complex	complex	ADJ
fcis-11846	17	28	textures	texture	NOUN
fcis-11846	17	29	and	and	CCONJ
fcis-11846	17	30	high	high	ADJ
fcis-11846	17	31	-	-	PUNCT
fcis-11846	17	32	frequency	frequency	NOUN
fcis-11846	17	33	details	detail	NOUN
fcis-11846	17	34	.	.	PUNCT
fcis-11846	18	1	with	with	ADP
fcis-11846	18	2	the	the	DET
fcis-11846	18	3	rise	rise	NOUN
fcis-11846	18	4	of	of	ADP
fcis-11846	18	5	deep	deep	ADJ
fcis-11846	18	6	learning	learning	NOUN
fcis-11846	18	7	,	,	PUNCT
fcis-11846	18	8	particularly	particularly	ADV
fcis-11846	18	9	the	the	DET
fcis-11846	18	10	development	development	NOUN
fcis-11846	18	11	of	of	ADP
fcis-11846	18	12	deep	deep	ADJ
fcis-11846	18	13	convolutional	convolutional	ADJ
fcis-11846	18	14	neural	neural	ADJ
fcis-11846	18	15	networks	network	NOUN
fcis-11846	18	16	(	(	PUNCT
fcis-11846	18	17	dcnns	dcnns	ADJ
fcis-11846	18	18	)	)	PUNCT
fcis-11846	18	19	,	,	PUNCT
fcis-11846	18	20	significant	significant	ADJ
fcis-11846	18	21	progress	progress	NOUN
fcis-11846	18	22	has	have	AUX
fcis-11846	18	23	been	be	AUX
fcis-11846	18	24	made	make	VERB
fcis-11846	18	25	in	in	ADP
fcis-11846	18	26	the	the	DET
fcis-11846	18	27	field	field	NOUN
fcis-11846	18	28	of	of	ADP
fcis-11846	18	29	image	image	NOUN
fcis-11846	18	30	super	super	NOUN
fcis-11846	18	31	-	-	NOUN
fcis-11846	18	32	resolution	resolution	NOUN
fcis-11846	18	33	[	[	NOUN
fcis-11846	18	34	3	3	NUM
fcis-11846	18	35	]	]	PUNCT
fcis-11846	18	36	.	.	PUNCT
fcis-11846	19	1	eye	eye	NOUN
fcis-11846	19	2	-	-	PUNCT
fcis-11846	19	3	tracking	track	VERB
fcis-11846	19	4	technology	technology	NOUN
fcis-11846	19	5	has	have	VERB
fcis-11846	19	6	wide	wide	ADJ
fcis-11846	19	7	applications	application	NOUN
fcis-11846	19	8	in	in	ADP
fcis-11846	19	9	computer	computer	NOUN
fcis-11846	19	10	vision	vision	NOUN
fcis-11846	19	11	and	and	CCONJ
fcis-11846	19	12	human	human	ADJ
fcis-11846	19	13	-	-	PUNCT
fcis-11846	19	14	computer	computer	NOUN
fcis-11846	19	15	interaction	interaction	NOUN
fcis-11846	19	16	,	,	PUNCT
fcis-11846	19	17	allowing	allow	VERB
fcis-11846	19	18	for	for	ADP
fcis-11846	19	19	precise	precise	ADJ
fcis-11846	19	20	monitoring	monitoring	NOUN
fcis-11846	19	21	and	and	CCONJ
fcis-11846	19	22	tracking	tracking	NOUN
fcis-11846	19	23	of	of	ADP
fcis-11846	19	24	eye	eye	NOUN
fcis-11846	19	25	movements	movement	NOUN
fcis-11846	19	26	during	during	ADP
fcis-11846	19	27	visual	visual	ADJ
fcis-11846	19	28	tasks	task	NOUN
fcis-11846	19	29	[	[	X
fcis-11846	19	30	4	4	NUM
fcis-11846	19	31	]	]	PUNCT
fcis-11846	19	32	.	.	PUNCT
fcis-11846	20	1	however	however	ADV
fcis-11846	20	2	,	,	PUNCT
fcis-11846	20	3	to	to	PART
fcis-11846	20	4	achieve	achieve	VERB
fcis-11846	20	5	accurate	accurate	ADJ
fcis-11846	20	6	eye	eye	NOUN
fcis-11846	20	7	-	-	PUNCT
fcis-11846	20	8	tracking	tracking	NOUN
fcis-11846	20	9	,	,	PUNCT
fcis-11846	20	10	highresolution	highresolution	NOUN
fcis-11846	20	11	facial	facial	ADJ
fcis-11846	20	12	images	image	NOUN
fcis-11846	20	13	with	with	ADP
fcis-11846	20	14	sufficient	sufficient	ADJ
fcis-11846	20	15	details	detail	NOUN
fcis-11846	20	16	are	be	AUX
fcis-11846	20	17	required	require	VERB
fcis-11846	20	18	.	.	PUNCT
fcis-11846	21	1	traditionally	traditionally	ADV
fcis-11846	21	2	,	,	PUNCT
fcis-11846	21	3	high	high	ADJ
fcis-11846	21	4	-	-	PUNCT
fcis-11846	21	5	quality	quality	NOUN
fcis-11846	21	6	facial	facial	ADJ
fcis-11846	21	7	images	image	NOUN
fcis-11846	21	8	typically	typically	ADV
fcis-11846	21	9	require	require	VERB
fcis-11846	21	10	the	the	DET
fcis-11846	21	11	use	use	NOUN
fcis-11846	21	12	of	of	ADP
fcis-11846	21	13	professional	professional	ADJ
fcis-11846	21	14	high	high	ADJ
fcis-11846	21	15	-	-	PUNCT
fcis-11846	21	16	end	end	NOUN
fcis-11846	21	17	devices	device	NOUN
fcis-11846	21	18	,	,	PUNCT
fcis-11846	21	19	limiting	limit	VERB
fcis-11846	21	20	the	the	DET
fcis-11846	21	21	application	application	NOUN
fcis-11846	21	22	of	of	ADP
fcis-11846	21	23	eye	eye	NOUN
fcis-11846	21	24	-	-	PUNCT
fcis-11846	21	25	tracking	track	VERB
fcis-11846	21	26	technology	technology	NOUN
fcis-11846	21	27	on	on	ADP
fcis-11846	21	28	more	more	ADV
fcis-11846	21	29	widely	widely	ADV
fcis-11846	21	30	accessible	accessible	ADJ
fcis-11846	21	31	devices	device	NOUN
fcis-11846	21	32	[	[	X
fcis-11846	21	33	5	5	NUM
fcis-11846	21	34	]	]	PUNCT
fcis-11846	21	35	.	.	PUNCT
fcis-11846	22	1	to	to	PART
fcis-11846	22	2	overcome	overcome	VERB
fcis-11846	22	3	this	this	DET
fcis-11846	22	4	limitation	limitation	NOUN
fcis-11846	22	5	,	,	PUNCT
fcis-11846	22	6	the	the	DET
fcis-11846	22	7	aim	aim	NOUN
fcis-11846	22	8	of	of	ADP
fcis-11846	22	9	this	this	DET
fcis-11846	22	10	study	study	NOUN
fcis-11846	22	11	is	be	AUX
fcis-11846	22	12	to	to	PART
fcis-11846	22	13	use	use	VERB
fcis-11846	22	14	more	more	ADV
fcis-11846	22	15	accessible	accessible	ADJ
fcis-11846	22	16	and	and	CCONJ
fcis-11846	22	17	easily	easily	ADV
fcis-11846	22	18	obtainable	obtainable	ADJ
fcis-11846	22	19	devices	device	NOUN
fcis-11846	22	20	to	to	PART
fcis-11846	22	21	provide	provide	VERB
fcis-11846	22	22	facial	facial	ADJ
fcis-11846	22	23	images	image	NOUN
fcis-11846	22	24	with	with	ADP
fcis-11846	22	25	sufficient	sufficient	ADJ
fcis-11846	22	26	details	detail	NOUN
fcis-11846	22	27	for	for	ADP
fcis-11846	22	28	eye	eye	NOUN
fcis-11846	22	29	-	-	PUNCT
fcis-11846	22	30	tracking	track	VERB
fcis-11846	22	31	technology	technology	NOUN
fcis-11846	22	32	.	.	PUNCT
fcis-11846	23	1	for	for	ADP
fcis-11846	23	2	this	this	DET
fcis-11846	23	3	purpose	purpose	NOUN
fcis-11846	23	4	,	,	PUNCT
fcis-11846	23	5	we	we	PRON
fcis-11846	23	6	chose	choose	VERB
fcis-11846	23	7	to	to	PART
fcis-11846	23	8	adopt	adopt	VERB
fcis-11846	23	9	adversarial	adversarial	ADJ
fcis-11846	23	10	training	training	NOUN
fcis-11846	23	11	techniques	technique	NOUN
fcis-11846	23	12	and	and	CCONJ
fcis-11846	23	13	the	the	DET
fcis-11846	23	14	high	high	ADV
fcis-11846	23	15	-	-	PUNCT
fcis-11846	23	16	performing	perform	VERB
fcis-11846	23	17	swinir	swinir	NOUN
fcis-11846	23	18	model	model	NOUN
fcis-11846	23	19	for	for	ADP
fcis-11846	23	20	face	face	NOUN
fcis-11846	23	21	image	image	NOUN
fcis-11846	23	22	super	super	ADJ
fcis-11846	23	23	-	-	ADJ
fcis-11846	23	24	resolution	resolution	ADJ
fcis-11846	23	25	processing	processing	NOUN
fcis-11846	23	26	.	.	PUNCT
fcis-11846	24	1	the	the	DET
fcis-11846	24	2	research	research	NOUN
fcis-11846	24	3	problem	problem	NOUN
fcis-11846	24	4	is	be	AUX
fcis-11846	24	5	to	to	PART
fcis-11846	24	6	explore	explore	VERB
fcis-11846	24	7	the	the	DET
fcis-11846	24	8	feasibility	feasibility	NOUN
fcis-11846	24	9	and	and	CCONJ
fcis-11846	24	10	effectiveness	effectiveness	NOUN
fcis-11846	24	11	of	of	ADP
fcis-11846	24	12	using	use	VERB
fcis-11846	24	13	the	the	DET
fcis-11846	24	14	swinir	swinir	NOUN
fcis-11846	24	15	model	model	NOUN
fcis-11846	24	16	for	for	ADP
fcis-11846	24	17	face	face	NOUN
fcis-11846	24	18	image	image	NOUN
fcis-11846	24	19	superresolution	superresolution	NOUN
fcis-11846	24	20	processing	processing	NOUN
fcis-11846	24	21	.	.	PUNCT
fcis-11846	25	1	we	we	PRON
fcis-11846	25	2	hope	hope	VERB
fcis-11846	25	3	that	that	SCONJ
fcis-11846	25	4	this	this	DET
fcis-11846	25	5	technique	technique	NOUN
fcis-11846	25	6	can	can	AUX
fcis-11846	25	7	significantly	significantly	ADV
fcis-11846	25	8	enhance	enhance	VERB
fcis-11846	25	9	the	the	DET
fcis-11846	25	10	quality	quality	NOUN
fcis-11846	25	11	of	of	ADP
fcis-11846	25	12	low	low	ADJ
fcis-11846	25	13	-	-	PUNCT
fcis-11846	25	14	resolution	resolution	NOUN
fcis-11846	25	15	facial	facial	ADJ
fcis-11846	25	16	images	image	NOUN
fcis-11846	25	17	captured	capture	VERB
fcis-11846	25	18	by	by	ADP
fcis-11846	25	19	widely	widely	ADV
fcis-11846	25	20	accessible	accessible	ADJ
fcis-11846	25	21	devices	device	NOUN
fcis-11846	25	22	,	,	PUNCT
fcis-11846	25	23	providing	provide	VERB
fcis-11846	25	24	sufficient	sufficient	ADJ
fcis-11846	25	25	details	detail	NOUN
fcis-11846	25	26	and	and	CCONJ
fcis-11846	25	27	clarity	clarity	NOUN
fcis-11846	25	28	to	to	PART
fcis-11846	25	29	offer	offer	VERB
fcis-11846	25	30	more	more	ADV
fcis-11846	25	31	reliable	reliable	ADJ
fcis-11846	25	32	and	and	CCONJ
fcis-11846	25	33	accurate	accurate	ADJ
fcis-11846	25	34	input	input	NOUN
fcis-11846	25	35	data	datum	NOUN
fcis-11846	25	36	for	for	ADP
fcis-11846	25	37	eye	eye	NOUN
fcis-11846	25	38	-	-	PUNCT
fcis-11846	25	39	tracking	track	VERB
fcis-11846	25	40	technology	technology	NOUN
fcis-11846	25	41	.	.	PUNCT
fcis-11846	26	1	the	the	DET
fcis-11846	26	2	significance	significance	NOUN
fcis-11846	26	3	of	of	ADP
fcis-11846	26	4	this	this	DET
fcis-11846	26	5	research	research	NOUN
fcis-11846	26	6	lies	lie	VERB
fcis-11846	26	7	in	in	ADP
fcis-11846	26	8	its	its	PRON
fcis-11846	26	9	potential	potential	NOUN
fcis-11846	26	10	to	to	PART
fcis-11846	26	11	enable	enable	VERB
fcis-11846	26	12	eye	eye	NOUN
fcis-11846	26	13	-	-	PUNCT
fcis-11846	26	14	tracking	track	VERB
fcis-11846	26	15	technology	technology	NOUN
fcis-11846	26	16	on	on	ADP
fcis-11846	26	17	widely	widely	ADV
fcis-11846	26	18	accessible	accessible	ADJ
fcis-11846	26	19	devices	device	NOUN
fcis-11846	26	20	.	.	PUNCT
fcis-11846	27	1	by	by	ADP
fcis-11846	27	2	applying	apply	VERB
fcis-11846	27	3	adversarial	adversarial	ADJ
fcis-11846	27	4	training	training	NOUN
fcis-11846	27	5	techniques	technique	NOUN
fcis-11846	27	6	and	and	CCONJ
fcis-11846	27	7	the	the	DET
fcis-11846	27	8	swinir	swinir	NOUN
fcis-11846	27	9	model	model	NOUN
fcis-11846	27	10	,	,	PUNCT
fcis-11846	27	11	we	we	PRON
fcis-11846	27	12	aim	aim	VERB
fcis-11846	27	13	to	to	PART
fcis-11846	27	14	provide	provide	VERB
fcis-11846	27	15	high	high	ADJ
fcis-11846	27	16	-	-	PUNCT
fcis-11846	27	17	quality	quality	NOUN
fcis-11846	27	18	facial	facial	ADJ
fcis-11846	27	19	images	image	NOUN
fcis-11846	27	20	with	with	ADP
fcis-11846	27	21	fine	fine	ADJ
fcis-11846	27	22	details	detail	NOUN
fcis-11846	27	23	for	for	ADP
fcis-11846	27	24	ordinary	ordinary	ADJ
fcis-11846	27	25	cameras	camera	NOUN
fcis-11846	27	26	or	or	CCONJ
fcis-11846	27	27	mobile	mobile	ADJ
fcis-11846	27	28	devices	device	NOUN
fcis-11846	27	29	,	,	PUNCT
fcis-11846	27	30	thus	thus	ADV
fcis-11846	27	31	promoting	promote	VERB
fcis-11846	27	32	the	the	DET
fcis-11846	27	33	application	application	NOUN
fcis-11846	27	34	and	and	CCONJ
fcis-11846	27	35	popularization	popularization	NOUN
fcis-11846	27	36	of	of	ADP
fcis-11846	27	37	eye	eye	NOUN
fcis-11846	27	38	-	-	PUNCT
fcis-11846	27	39	tracking	track	VERB
fcis-11846	27	40	technology	technology	NOUN
fcis-11846	27	41	in	in	ADP
fcis-11846	27	42	a	a	DET
fcis-11846	27	43	broader	broad	ADJ
fcis-11846	27	44	range	range	NOUN
fcis-11846	27	45	of	of	ADP
fcis-11846	27	46	scenarios	scenario	NOUN
fcis-11846	27	47	.	.	PUNCT
fcis-11846	28	1	in	in	ADP
fcis-11846	28	2	conclusion	conclusion	NOUN
fcis-11846	28	3	,	,	PUNCT
fcis-11846	28	4	this	this	DET
fcis-11846	28	5	study	study	NOUN
fcis-11846	28	6	aims	aim	VERB
fcis-11846	28	7	to	to	PART
fcis-11846	28	8	explore	explore	VERB
fcis-11846	28	9	the	the	DET
fcis-11846	28	10	method	method	NOUN
fcis-11846	28	11	of	of	ADP
fcis-11846	28	12	using	use	VERB
fcis-11846	28	13	the	the	DET
fcis-11846	28	14	swinir	swinir	NOUN
fcis-11846	28	15	model	model	NOUN
fcis-11846	28	16	for	for	ADP
fcis-11846	28	17	face	face	NOUN
fcis-11846	28	18	image	image	NOUN
fcis-11846	28	19	super	super	ADJ
fcis-11846	28	20	-	-	ADJ
fcis-11846	28	21	resolution	resolution	NOUN
fcis-11846	28	22	processing	processing	NOUN
fcis-11846	28	23	and	and	CCONJ
fcis-11846	28	24	,	,	PUNCT
fcis-11846	28	25	by	by	ADP
fcis-11846	28	26	providing	provide	VERB
fcis-11846	28	27	images	image	NOUN
fcis-11846	28	28	with	with	ADP
fcis-11846	28	29	sufficient	sufficient	ADJ
fcis-11846	28	30	details	detail	NOUN
fcis-11846	28	31	,	,	PUNCT
fcis-11846	28	32	advance	advance	VERB
fcis-11846	28	33	the	the	DET
fcis-11846	28	34	application	application	NOUN
fcis-11846	28	35	of	of	ADP
fcis-11846	28	36	eye	eye	NOUN
fcis-11846	28	37	-	-	PUNCT
fcis-11846	28	38	tracking	track	VERB
fcis-11846	28	39	technology	technology	NOUN
fcis-11846	28	40	on	on	ADP
fcis-11846	28	41	widely	widely	ADV
fcis-11846	28	42	accessible	accessible	ADJ
fcis-11846	28	43	devices	device	NOUN
fcis-11846	28	44	.	.	PUNCT
fcis-11846	29	1	this	this	DET
fcis-11846	29	2	research	research	NOUN
fcis-11846	29	3	is	be	AUX
fcis-11846	29	4	expected	expect	VERB
fcis-11846	29	5	to	to	PART
fcis-11846	29	6	offer	offer	VERB
fcis-11846	29	7	a	a	DET
fcis-11846	29	8	better	well	ADJ
fcis-11846	29	9	visual	visual	ADJ
fcis-11846	29	10	experience	experience	NOUN
fcis-11846	29	11	for	for	ADP
fcis-11846	29	12	ordinary	ordinary	ADJ
fcis-11846	29	13	users	user	NOUN
fcis-11846	29	14	and	and	CCONJ
fcis-11846	29	15	contribute	contribute	VERB
fcis-11846	29	16	new	new	ADJ
fcis-11846	29	17	practical	practical	ADJ
fcis-11846	29	18	techniques	technique	NOUN
fcis-11846	29	19	to	to	ADP
fcis-11846	29	20	the	the	DET
fcis-11846	29	21	development	development	NOUN
fcis-11846	29	22	of	of	ADP
fcis-11846	29	23	computer	computer	NOUN
fcis-11846	29	24	vision	vision	NOUN
fcis-11846	29	25	.	.	PUNCT
fcis-11846	30	1	in	in	ADP
fcis-11846	30	2	this	this	DET
fcis-11846	30	3	paper	paper	NOUN
fcis-11846	30	4	,	,	PUNCT
fcis-11846	30	5	we	we	PRON
fcis-11846	30	6	mainly	mainly	ADV
fcis-11846	30	7	discuss	discuss	VERB
fcis-11846	30	8	the	the	DET
fcis-11846	30	9	super	super	ADJ
fcis-11846	30	10	-	-	ADJ
fcis-11846	30	11	resolution	resolution	ADJ
fcis-11846	30	12	processing	processing	NOUN
fcis-11846	30	13	of	of	ADP
fcis-11846	30	14	facial	facial	ADJ
fcis-11846	30	15	images	image	NOUN
fcis-11846	30	16	to	to	PART
fcis-11846	30	17	obtain	obtain	VERB
fcis-11846	30	18	images	image	NOUN
fcis-11846	30	19	with	with	ADP
fcis-11846	30	20	more	more	ADJ
fcis-11846	30	21	details	detail	NOUN
fcis-11846	30	22	.	.	PUNCT
fcis-11846	31	1	2	2	X
fcis-11846	31	2	.	.	X
fcis-11846	31	3	related	relate	VERB
fcis-11846	31	4	work	work	NOUN
fcis-11846	31	5	2.1	2.1	NUM
fcis-11846	31	6	.	.	PUNCT
fcis-11846	32	1	swinir	swinir	NOUN
fcis-11846	32	2	[	[	X
fcis-11846	32	3	6	6	NUM
fcis-11846	32	4	]	]	PUNCT
fcis-11846	32	5	swinir	swinir	NOUN
fcis-11846	32	6	is	be	AUX
fcis-11846	32	7	a	a	DET
fcis-11846	32	8	deep	deep	ADJ
fcis-11846	32	9	learning	learning	NOUN
fcis-11846	32	10	-	-	PUNCT
fcis-11846	32	11	based	base	VERB
fcis-11846	32	12	image	image	NOUN
fcis-11846	32	13	super	super	ADJ
fcis-11846	32	14	-	-	ADJ
fcis-11846	32	15	resolution	resolution	ADJ
fcis-11846	32	16	method	method	NOUN
fcis-11846	32	17	that	that	PRON
fcis-11846	32	18	utilizes	utilize	VERB
fcis-11846	32	19	the	the	DET
fcis-11846	32	20	swin	swin	PROPN
fcis-11846	32	21	transformer	transformer	NOUN
fcis-11846	32	22	as	as	ADP
fcis-11846	32	23	its	its	PRON
fcis-11846	32	24	underlying	underlie	VERB
fcis-11846	32	25	model	model	NOUN
fcis-11846	32	26	.	.	PUNCT
fcis-11846	33	1	the	the	DET
fcis-11846	33	2	transformer	transformer	NOUN
fcis-11846	33	3	is	be	AUX
fcis-11846	33	4	a	a	DET
fcis-11846	33	5	model	model	NOUN
fcis-11846	33	6	widely	widely	ADV
fcis-11846	33	7	used	use	VERB
fcis-11846	33	8	for	for	ADP
fcis-11846	33	9	natural	natural	ADJ
fcis-11846	33	10	language	language	NOUN
fcis-11846	33	11	processing	processing	NOUN
fcis-11846	33	12	tasks	task	NOUN
fcis-11846	33	13	,	,	PUNCT
fcis-11846	33	14	but	but	CCONJ
fcis-11846	33	15	due	due	ADP
fcis-11846	33	16	to	to	ADP
fcis-11846	33	17	its	its	PRON
fcis-11846	33	18	efficient	efficient	ADJ
fcis-11846	33	19	selfattention	selfattention	NOUN
fcis-11846	33	20	mechanism	mechanism	NOUN
fcis-11846	33	21	,	,	PUNCT
fcis-11846	33	22	it	it	PRON
fcis-11846	33	23	has	have	AUX
fcis-11846	33	24	also	also	ADV
fcis-11846	33	25	been	be	AUX
fcis-11846	33	26	applied	apply	VERB
fcis-11846	33	27	in	in	ADP
fcis-11846	33	28	the	the	DET
fcis-11846	33	29	field	field	NOUN
fcis-11846	33	30	of	of	ADP
fcis-11846	33	31	image	image	NOUN
fcis-11846	33	32	processing	processing	NOUN
fcis-11846	33	33	.	.	PUNCT
fcis-11846	34	1	swin	swin	PROPN
fcis-11846	34	2	transformer	transformer	PROPN
fcis-11846	34	3	effectively	effectively	ADV
fcis-11846	34	4	captures	capture	VERB
fcis-11846	34	5	88	88	NUM
fcis-11846	34	6	long	long	ADJ
fcis-11846	34	7	-	-	PUNCT
fcis-11846	34	8	range	range	NOUN
fcis-11846	34	9	dependencies	dependency	NOUN
fcis-11846	34	10	and	and	CCONJ
fcis-11846	34	11	semantic	semantic	ADJ
fcis-11846	34	12	information	information	NOUN
fcis-11846	34	13	in	in	ADP
fcis-11846	34	14	images	image	NOUN
fcis-11846	34	15	through	through	ADP
fcis-11846	34	16	its	its	PRON
fcis-11846	34	17	global	global	ADJ
fcis-11846	34	18	self	self	NOUN
fcis-11846	34	19	-	-	PUNCT
fcis-11846	34	20	attention	attention	NOUN
fcis-11846	34	21	mechanism	mechanism	NOUN
fcis-11846	34	22	.	.	PUNCT
fcis-11846	35	1	swinir	swinir	NOUN
fcis-11846	35	2	model	model	NOUN
fcis-11846	35	3	adjusts	adjust	VERB
fcis-11846	35	4	and	and	CCONJ
fcis-11846	35	5	optimizes	optimize	VERB
fcis-11846	35	6	the	the	DET
fcis-11846	35	7	swin	swin	PROPN
fcis-11846	35	8	transformer	transformer	NOUN
fcis-11846	35	9	specifically	specifically	ADV
fcis-11846	35	10	for	for	ADP
fcis-11846	35	11	image	image	NOUN
fcis-11846	35	12	super	super	ADJ
fcis-11846	35	13	-	-	ADJ
fcis-11846	35	14	resolution	resolution	ADJ
fcis-11846	35	15	tasks	task	NOUN
fcis-11846	35	16	.	.	PUNCT
fcis-11846	36	1	in	in	ADP
fcis-11846	36	2	image	image	NOUN
fcis-11846	36	3	superresolution	superresolution	NOUN
fcis-11846	36	4	,	,	PUNCT
fcis-11846	36	5	swinir	swinir	NOUN
fcis-11846	36	6	takes	take	VERB
fcis-11846	36	7	low	low	ADJ
fcis-11846	36	8	-	-	PUNCT
fcis-11846	36	9	resolution	resolution	NOUN
fcis-11846	36	10	images	image	NOUN
fcis-11846	36	11	as	as	SCONJ
fcis-11846	36	12	input	input	NOUN
fcis-11846	36	13	and	and	CCONJ
fcis-11846	36	14	outputs	output	NOUN
fcis-11846	36	15	high	high	ADJ
fcis-11846	36	16	-	-	PUNCT
fcis-11846	36	17	resolution	resolution	NOUN
fcis-11846	36	18	image	image	NOUN
fcis-11846	36	19	results	result	VERB
fcis-11846	36	20	through	through	ADP
fcis-11846	36	21	network	network	NOUN
fcis-11846	36	22	layers	layer	NOUN
fcis-11846	36	23	'	'	PART
fcis-11846	36	24	processing	processing	NOUN
fcis-11846	36	25	.	.	PUNCT
fcis-11846	37	1	its	its	PRON
fcis-11846	37	2	core	core	NOUN
fcis-11846	37	3	advantage	advantage	NOUN
fcis-11846	37	4	lies	lie	VERB
fcis-11846	37	5	in	in	ADP
fcis-11846	37	6	efficiently	efficiently	ADV
fcis-11846	37	7	extracting	extract	VERB
fcis-11846	37	8	image	image	NOUN
fcis-11846	37	9	feature	feature	NOUN
fcis-11846	37	10	information	information	NOUN
fcis-11846	37	11	and	and	CCONJ
fcis-11846	37	12	possessing	possess	VERB
fcis-11846	37	13	strong	strong	ADJ
fcis-11846	37	14	representational	representational	ADJ
fcis-11846	37	15	capabilities	capability	NOUN
fcis-11846	37	16	,	,	PUNCT
fcis-11846	37	17	enabling	enable	VERB
fcis-11846	37	18	it	it	PRON
fcis-11846	37	19	to	to	PART
fcis-11846	37	20	effectively	effectively	ADV
fcis-11846	37	21	handle	handle	VERB
fcis-11846	37	22	complex	complex	ADJ
fcis-11846	37	23	textures	texture	NOUN
fcis-11846	37	24	and	and	CCONJ
fcis-11846	37	25	details	detail	NOUN
fcis-11846	37	26	,	,	PUNCT
fcis-11846	37	27	resulting	result	VERB
fcis-11846	37	28	in	in	ADP
fcis-11846	37	29	excellent	excellent	ADJ
fcis-11846	37	30	superresolution	superresolution	NOUN
fcis-11846	37	31	performance	performance	NOUN
fcis-11846	37	32	.	.	PUNCT
fcis-11846	38	1	swinir	swinir	NOUN
fcis-11846	38	2	adopts	adopt	VERB
fcis-11846	38	3	the	the	DET
fcis-11846	38	4	swin	swin	PROPN
fcis-11846	38	5	transformer	transformer	NOUN
fcis-11846	38	6	as	as	ADP
fcis-11846	38	7	the	the	DET
fcis-11846	38	8	basic	basic	ADJ
fcis-11846	38	9	network	network	NOUN
fcis-11846	38	10	architecture	architecture	NOUN
fcis-11846	38	11	,	,	PUNCT
fcis-11846	38	12	utilizing	utilize	VERB
fcis-11846	38	13	the	the	DET
fcis-11846	38	14	self	self	NOUN
fcis-11846	38	15	-	-	PUNCT
fcis-11846	38	16	attention	attention	NOUN
fcis-11846	38	17	mechanism	mechanism	NOUN
fcis-11846	38	18	to	to	PART
fcis-11846	38	19	capture	capture	VERB
fcis-11846	38	20	long	long	ADJ
fcis-11846	38	21	-	-	PUNCT
fcis-11846	38	22	range	range	NOUN
fcis-11846	38	23	dependencies	dependency	NOUN
fcis-11846	38	24	and	and	CCONJ
fcis-11846	38	25	semantic	semantic	ADJ
fcis-11846	38	26	information	information	NOUN
fcis-11846	38	27	in	in	ADP
fcis-11846	38	28	images	image	NOUN
fcis-11846	38	29	.	.	PUNCT
fcis-11846	39	1	by	by	ADP
fcis-11846	39	2	stacking	stack	VERB
fcis-11846	39	3	multiple	multiple	ADJ
fcis-11846	39	4	swin	swin	PROPN
fcis-11846	39	5	transformer	transformer	NOUN
fcis-11846	39	6	modules	module	NOUN
fcis-11846	39	7	,	,	PUNCT
fcis-11846	39	8	swinir	swinir	NOUN
fcis-11846	39	9	can	can	AUX
fcis-11846	39	10	efficiently	efficiently	ADV
fcis-11846	39	11	extract	extract	VERB
fcis-11846	39	12	image	image	NOUN
fcis-11846	39	13	feature	feature	NOUN
fcis-11846	39	14	information	information	NOUN
fcis-11846	39	15	and	and	CCONJ
fcis-11846	39	16	restore	restore	VERB
fcis-11846	39	17	lowresolution	lowresolution	NOUN
fcis-11846	39	18	images	image	NOUN
fcis-11846	39	19	to	to	ADP
fcis-11846	39	20	high	high	ADJ
fcis-11846	39	21	-	-	PUNCT
fcis-11846	39	22	resolution	resolution	NOUN
fcis-11846	39	23	ones	one	NOUN
fcis-11846	39	24	.	.	PUNCT
fcis-11846	40	1	swinir	swinir	NOUN
fcis-11846	40	2	has	have	AUX
fcis-11846	40	3	achieved	achieve	VERB
fcis-11846	40	4	significant	significant	ADJ
fcis-11846	40	5	performance	performance	NOUN
fcis-11846	40	6	improvements	improvement	NOUN
fcis-11846	40	7	in	in	ADP
fcis-11846	40	8	image	image	NOUN
fcis-11846	40	9	super	super	ADJ
fcis-11846	40	10	-	-	ADJ
fcis-11846	40	11	resolution	resolution	ADJ
fcis-11846	40	12	tasks	task	NOUN
fcis-11846	40	13	and	and	CCONJ
fcis-11846	40	14	has	have	AUX
fcis-11846	40	15	become	become	VERB
fcis-11846	40	16	one	one	NUM
fcis-11846	40	17	of	of	ADP
fcis-11846	40	18	the	the	DET
fcis-11846	40	19	leading	lead	VERB
fcis-11846	40	20	image	image	NOUN
fcis-11846	40	21	super	super	ADJ
fcis-11846	40	22	-	-	ADJ
fcis-11846	40	23	resolution	resolution	ADJ
fcis-11846	40	24	methods	method	NOUN
fcis-11846	40	25	.	.	PUNCT
fcis-11846	41	1	its	its	PRON
fcis-11846	41	2	outstanding	outstanding	ADJ
fcis-11846	41	3	performance	performance	NOUN
fcis-11846	41	4	has	have	AUX
fcis-11846	41	5	garnered	garner	VERB
fcis-11846	41	6	attention	attention	NOUN
fcis-11846	41	7	in	in	ADP
fcis-11846	41	8	various	various	ADJ
fcis-11846	41	9	application	application	NOUN
fcis-11846	41	10	scenarios	scenario	NOUN
fcis-11846	41	11	,	,	PUNCT
fcis-11846	41	12	and	and	CCONJ
fcis-11846	41	13	it	it	PRON
fcis-11846	41	14	has	have	AUX
fcis-11846	41	15	been	be	AUX
fcis-11846	41	16	widely	widely	ADV
fcis-11846	41	17	applied	apply	VERB
fcis-11846	41	18	in	in	ADP
fcis-11846	41	19	both	both	CCONJ
fcis-11846	41	20	academic	academic	ADJ
fcis-11846	41	21	and	and	CCONJ
fcis-11846	41	22	industrial	industrial	ADJ
fcis-11846	41	23	settings	setting	NOUN
fcis-11846	41	24	.	.	PUNCT
fcis-11846	42	1	2.2	2.2	NUM
fcis-11846	42	2	.	.	PUNCT
fcis-11846	42	3	wgan	wgan	VERB
fcis-11846	43	1	[	[	PUNCT
fcis-11846	43	2	7	7	NUM
fcis-11846	43	3	]	]	X
fcis-11846	43	4	wgan	wgan	VERB
fcis-11846	43	5	(	(	PUNCT
fcis-11846	43	6	wasserstein	wasserstein	NOUN
fcis-11846	43	7	generative	generative	VERB
fcis-11846	43	8	adversarial	adversarial	ADJ
fcis-11846	43	9	network	network	NOUN
fcis-11846	43	10	)	)	PUNCT
fcis-11846	43	11	is	be	AUX
fcis-11846	43	12	a	a	DET
fcis-11846	43	13	variant	variant	NOUN
fcis-11846	43	14	of	of	ADP
fcis-11846	43	15	generative	generative	ADJ
fcis-11846	43	16	adversarial	adversarial	ADJ
fcis-11846	43	17	networks	network	NOUN
fcis-11846	43	18	(	(	PUNCT
fcis-11846	43	19	gans	gan	NOUN
fcis-11846	43	20	)	)	PUNCT
fcis-11846	43	21	that	that	PRON
fcis-11846	43	22	has	have	AUX
fcis-11846	43	23	been	be	AUX
fcis-11846	43	24	improved	improve	VERB
fcis-11846	43	25	and	and	CCONJ
fcis-11846	43	26	optimized	optimize	VERB
fcis-11846	43	27	based	base	VERB
fcis-11846	43	28	on	on	ADP
fcis-11846	43	29	gans	gan	NOUN
fcis-11846	43	30	.	.	PUNCT
fcis-11846	44	1	gan	gan	PROPN
fcis-11846	44	2	is	be	AUX
fcis-11846	44	3	a	a	DET
fcis-11846	44	4	deep	deep	ADJ
fcis-11846	44	5	learning	learning	NOUN
fcis-11846	44	6	model	model	NOUN
fcis-11846	44	7	used	use	VERB
fcis-11846	44	8	to	to	PART
fcis-11846	44	9	generate	generate	VERB
fcis-11846	44	10	new	new	ADJ
fcis-11846	44	11	samples	sample	NOUN
fcis-11846	44	12	,	,	PUNCT
fcis-11846	44	13	consisting	consist	VERB
fcis-11846	44	14	of	of	ADP
fcis-11846	44	15	a	a	DET
fcis-11846	44	16	generator	generator	NOUN
fcis-11846	44	17	and	and	CCONJ
fcis-11846	44	18	a	a	DET
fcis-11846	44	19	discriminator	discriminator	NOUN
fcis-11846	44	20	,	,	PUNCT
fcis-11846	44	21	which	which	PRON
fcis-11846	44	22	are	be	AUX
fcis-11846	44	23	trained	train	VERB
fcis-11846	44	24	in	in	ADP
fcis-11846	44	25	an	an	DET
fcis-11846	44	26	adversarial	adversarial	ADJ
fcis-11846	44	27	manner	manner	NOUN
fcis-11846	44	28	to	to	PART
fcis-11846	44	29	progressively	progressively	ADV
fcis-11846	44	30	generate	generate	VERB
fcis-11846	44	31	more	more	ADV
fcis-11846	44	32	realistic	realistic	ADJ
fcis-11846	44	33	samples	sample	NOUN
fcis-11846	44	34	.	.	PUNCT
fcis-11846	45	1	wgan	wgan	VERB
fcis-11846	45	2	addresses	address	NOUN
fcis-11846	45	3	the	the	DET
fcis-11846	45	4	instability	instability	NOUN
fcis-11846	45	5	and	and	CCONJ
fcis-11846	45	6	mode	mode	NOUN
fcis-11846	45	7	collapse	collapse	NOUN
fcis-11846	45	8	issues	issue	NOUN
fcis-11846	45	9	during	during	ADP
fcis-11846	45	10	gan	gan	ADJ
fcis-11846	45	11	training	training	NOUN
fcis-11846	45	12	by	by	ADP
fcis-11846	45	13	introducing	introduce	VERB
fcis-11846	45	14	wasserstein	wasserstein	NOUN
fcis-11846	45	15	distance	distance	NOUN
fcis-11846	45	16	.	.	PUNCT
fcis-11846	46	1	wasserstein	wasserstein	NOUN
fcis-11846	46	2	distance	distance	NOUN
fcis-11846	46	3	provides	provide	VERB
fcis-11846	46	4	better	well	ADJ
fcis-11846	46	5	continuity	continuity	NOUN
fcis-11846	46	6	and	and	CCONJ
fcis-11846	46	7	smoothness	smoothness	ADJ
fcis-11846	46	8	when	when	SCONJ
fcis-11846	46	9	measuring	measure	VERB
fcis-11846	46	10	the	the	DET
fcis-11846	46	11	distance	distance	NOUN
fcis-11846	46	12	between	between	ADP
fcis-11846	46	13	two	two	NUM
fcis-11846	46	14	probability	probability	NOUN
fcis-11846	46	15	distributions	distribution	NOUN
fcis-11846	46	16	,	,	PUNCT
fcis-11846	46	17	resulting	result	VERB
fcis-11846	46	18	in	in	ADP
fcis-11846	46	19	a	a	DET
fcis-11846	46	20	more	more	ADV
fcis-11846	46	21	stable	stable	ADJ
fcis-11846	46	22	and	and	CCONJ
fcis-11846	46	23	reliable	reliable	ADJ
fcis-11846	46	24	training	training	NOUN
fcis-11846	46	25	process	process	NOUN
fcis-11846	46	26	.	.	PUNCT
fcis-11846	47	1	the	the	DET
fcis-11846	47	2	emergence	emergence	NOUN
fcis-11846	47	3	of	of	ADP
fcis-11846	47	4	wgan	wgan	ADJ
fcis-11846	47	5	offers	offer	VERB
fcis-11846	47	6	new	new	ADJ
fcis-11846	47	7	ideas	idea	NOUN
fcis-11846	47	8	and	and	CCONJ
fcis-11846	47	9	methods	method	NOUN
fcis-11846	47	10	for	for	ADP
fcis-11846	47	11	generative	generative	ADJ
fcis-11846	47	12	models	model	NOUN
fcis-11846	47	13	in	in	ADP
fcis-11846	47	14	deep	deep	ADJ
fcis-11846	47	15	learning	learning	NOUN
fcis-11846	47	16	.	.	PUNCT
fcis-11846	48	1	it	it	PRON
fcis-11846	48	2	has	have	AUX
fcis-11846	48	3	achieved	achieve	VERB
fcis-11846	48	4	excellent	excellent	ADJ
fcis-11846	48	5	results	result	NOUN
fcis-11846	48	6	in	in	ADP
fcis-11846	48	7	tasks	task	NOUN
fcis-11846	48	8	such	such	ADJ
fcis-11846	48	9	as	as	ADP
fcis-11846	48	10	image	image	NOUN
fcis-11846	48	11	generation	generation	NOUN
fcis-11846	48	12	,	,	PUNCT
fcis-11846	48	13	image	image	NOUN
fcis-11846	48	14	restoration	restoration	NOUN
fcis-11846	48	15	,	,	PUNCT
fcis-11846	48	16	and	and	CCONJ
fcis-11846	48	17	image	image	NOUN
fcis-11846	48	18	super	super	NOUN
fcis-11846	48	19	-	-	NOUN
fcis-11846	48	20	resolution	resolution	NOUN
fcis-11846	48	21	,	,	PUNCT
fcis-11846	48	22	attracting	attract	VERB
fcis-11846	48	23	widespread	widespread	ADJ
fcis-11846	48	24	attention	attention	NOUN
fcis-11846	48	25	across	across	ADP
fcis-11846	48	26	various	various	ADJ
fcis-11846	48	27	domains	domain	NOUN
fcis-11846	48	28	.	.	PUNCT
fcis-11846	49	1	in	in	ADP
fcis-11846	49	2	conclusion	conclusion	NOUN
fcis-11846	49	3	,	,	PUNCT
fcis-11846	49	4	swinir	swinir	NOUN
fcis-11846	49	5	and	and	CCONJ
fcis-11846	49	6	wgan	wgan	VERB
fcis-11846	49	7	are	be	AUX
fcis-11846	49	8	significant	significant	ADJ
fcis-11846	49	9	representative	representative	ADJ
fcis-11846	49	10	methods	method	NOUN
fcis-11846	49	11	in	in	ADP
fcis-11846	49	12	the	the	DET
fcis-11846	49	13	fields	field	NOUN
fcis-11846	49	14	of	of	ADP
fcis-11846	49	15	image	image	NOUN
fcis-11846	49	16	super	super	NOUN
fcis-11846	49	17	-	-	NOUN
fcis-11846	49	18	resolution	resolution	NOUN
fcis-11846	49	19	and	and	CCONJ
fcis-11846	49	20	generative	generative	ADJ
fcis-11846	49	21	adversarial	adversarial	ADJ
fcis-11846	49	22	networks	network	NOUN
fcis-11846	49	23	,	,	PUNCT
fcis-11846	49	24	respectively	respectively	ADV
fcis-11846	49	25	,	,	PUNCT
fcis-11846	49	26	and	and	CCONJ
fcis-11846	49	27	have	have	AUX
fcis-11846	49	28	made	make	VERB
fcis-11846	49	29	significant	significant	ADJ
fcis-11846	49	30	progress	progress	NOUN
fcis-11846	49	31	in	in	ADP
fcis-11846	49	32	image	image	NOUN
fcis-11846	49	33	processing	processing	NOUN
fcis-11846	49	34	and	and	CCONJ
fcis-11846	49	35	generation	generation	NOUN
fcis-11846	49	36	tasks	task	NOUN
fcis-11846	49	37	.	.	PUNCT
fcis-11846	50	1	by	by	ADP
fcis-11846	50	2	combining	combine	VERB
fcis-11846	50	3	the	the	DET
fcis-11846	50	4	two	two	NUM
fcis-11846	50	5	approaches	approach	NOUN
fcis-11846	50	6	,	,	PUNCT
fcis-11846	50	7	it	it	PRON
fcis-11846	50	8	is	be	AUX
fcis-11846	50	9	expected	expect	VERB
fcis-11846	50	10	to	to	PART
fcis-11846	50	11	achieve	achieve	VERB
fcis-11846	50	12	even	even	ADV
fcis-11846	50	13	better	well	ADJ
fcis-11846	50	14	model	model	NOUN
fcis-11846	50	15	performance	performance	NOUN
fcis-11846	50	16	.	.	PUNCT
fcis-11846	51	1	3	3	X
fcis-11846	51	2	.	.	X
fcis-11846	51	3	method	method	PROPN
fcis-11846	51	4	3.1	3.1	NUM
fcis-11846	51	5	.	.	PUNCT
fcis-11846	52	1	dataset	dataset	VERB
fcis-11846	52	2	in	in	ADP
fcis-11846	52	3	order	order	NOUN
fcis-11846	52	4	to	to	PART
fcis-11846	52	5	study	study	VERB
fcis-11846	52	6	image	image	NOUN
fcis-11846	52	7	super	super	NOUN
fcis-11846	52	8	-	-	NOUN
fcis-11846	52	9	resolution	resolution	NOUN
fcis-11846	52	10	and	and	CCONJ
fcis-11846	52	11	denoising	denoising	NOUN
fcis-11846	52	12	techniques	technique	NOUN
fcis-11846	52	13	in	in	ADP
fcis-11846	52	14	computer	computer	NOUN
fcis-11846	52	15	vision	vision	NOUN
fcis-11846	52	16	,	,	PUNCT
fcis-11846	52	17	we	we	PRON
fcis-11846	52	18	need	need	VERB
fcis-11846	52	19	to	to	PART
fcis-11846	52	20	construct	construct	VERB
fcis-11846	52	21	a	a	DET
fcis-11846	52	22	dataset	dataset	NOUN
fcis-11846	52	23	suitable	suitable	ADJ
fcis-11846	52	24	for	for	ADP
fcis-11846	52	25	this	this	DET
fcis-11846	52	26	task	task	NOUN
fcis-11846	52	27	.	.	PUNCT
fcis-11846	53	1	considering	consider	VERB
fcis-11846	53	2	our	our	PRON
fcis-11846	53	3	research	research	NOUN
fcis-11846	53	4	goal	goal	NOUN
fcis-11846	53	5	is	be	AUX
fcis-11846	53	6	to	to	PART
fcis-11846	53	7	simulate	simulate	VERB
fcis-11846	53	8	the	the	DET
fcis-11846	53	9	effects	effect	NOUN
fcis-11846	53	10	of	of	ADP
fcis-11846	53	11	most	most	ADJ
fcis-11846	53	12	cameras	camera	NOUN
fcis-11846	53	13	,	,	PUNCT
fcis-11846	53	14	we	we	PRON
fcis-11846	53	15	will	will	AUX
fcis-11846	53	16	use	use	VERB
fcis-11846	53	17	a	a	DET
fcis-11846	53	18	highdefinition	highdefinition	NOUN
fcis-11846	53	19	face	face	NOUN
fcis-11846	53	20	dataset	dataset	NOUN
fcis-11846	53	21	and	and	CCONJ
fcis-11846	53	22	apply	apply	VERB
fcis-11846	53	23	resolution	resolution	NOUN
fcis-11846	53	24	reduction	reduction	NOUN
fcis-11846	53	25	and	and	CCONJ
fcis-11846	53	26	noise	noise	NOUN
fcis-11846	53	27	addition	addition	NOUN
fcis-11846	53	28	to	to	PART
fcis-11846	53	29	simulate	simulate	VERB
fcis-11846	53	30	the	the	DET
fcis-11846	53	31	image	image	NOUN
fcis-11846	53	32	capture	capture	NOUN
fcis-11846	53	33	process	process	NOUN
fcis-11846	53	34	in	in	ADP
fcis-11846	53	35	realworld	realworld	PROPN
fcis-11846	53	36	scenarios	scenario	NOUN
fcis-11846	53	37	.	.	PUNCT
fcis-11846	54	1	firstly	firstly	ADV
fcis-11846	54	2	,	,	PUNCT
fcis-11846	54	3	we	we	PRON
fcis-11846	54	4	will	will	AUX
fcis-11846	54	5	select	select	VERB
fcis-11846	54	6	a	a	DET
fcis-11846	54	7	high	high	ADJ
fcis-11846	54	8	-	-	PUNCT
fcis-11846	54	9	quality	quality	NOUN
fcis-11846	54	10	dataset	dataset	NOUN
fcis-11846	54	11	containing	contain	VERB
fcis-11846	54	12	a	a	DET
fcis-11846	54	13	large	large	ADJ
fcis-11846	54	14	number	number	NOUN
fcis-11846	54	15	of	of	ADP
fcis-11846	54	16	high	high	ADJ
fcis-11846	54	17	-	-	PUNCT
fcis-11846	54	18	definition	definition	NOUN
fcis-11846	54	19	face	face	NOUN
fcis-11846	54	20	images	image	NOUN
fcis-11846	54	21	as	as	SCONJ
fcis-11846	54	22	the	the	DET
fcis-11846	54	23	base	base	NOUN
fcis-11846	54	24	dataset	dataset	NOUN
fcis-11846	54	25	.	.	PUNCT
fcis-11846	55	1	this	this	DET
fcis-11846	55	2	dataset	dataset	NOUN
fcis-11846	55	3	should	should	AUX
fcis-11846	55	4	include	include	VERB
fcis-11846	55	5	multiple	multiple	ADJ
fcis-11846	55	6	face	face	NOUN
fcis-11846	55	7	images	image	NOUN
fcis-11846	55	8	with	with	ADP
fcis-11846	55	9	high	high	ADJ
fcis-11846	55	10	image	image	NOUN
fcis-11846	55	11	quality	quality	NOUN
fcis-11846	55	12	to	to	PART
fcis-11846	55	13	ensure	ensure	VERB
fcis-11846	55	14	that	that	SCONJ
fcis-11846	55	15	our	our	PRON
fcis-11846	55	16	training	training	NOUN
fcis-11846	55	17	data	datum	NOUN
fcis-11846	55	18	possesses	possess	VERB
fcis-11846	55	19	good	good	ADJ
fcis-11846	55	20	features	feature	NOUN
fcis-11846	55	21	and	and	CCONJ
fcis-11846	55	22	details	detail	NOUN
fcis-11846	55	23	.	.	PUNCT
fcis-11846	56	1	next	next	ADV
fcis-11846	56	2	,	,	PUNCT
fcis-11846	56	3	we	we	PRON
fcis-11846	56	4	will	will	AUX
fcis-11846	56	5	process	process	VERB
fcis-11846	56	6	these	these	DET
fcis-11846	56	7	high	high	ADJ
fcis-11846	56	8	-	-	PUNCT
fcis-11846	56	9	definition	definition	NOUN
fcis-11846	56	10	face	face	NOUN
fcis-11846	56	11	images	image	NOUN
fcis-11846	56	12	using	use	VERB
fcis-11846	56	13	resolution	resolution	NOUN
fcis-11846	56	14	reduction	reduction	NOUN
fcis-11846	56	15	techniques	technique	NOUN
fcis-11846	56	16	.	.	PUNCT
fcis-11846	57	1	we	we	PRON
fcis-11846	57	2	can	can	AUX
fcis-11846	57	3	use	use	VERB
fcis-11846	57	4	interpolation	interpolation	NOUN
fcis-11846	57	5	methods	method	NOUN
fcis-11846	57	6	or	or	CCONJ
fcis-11846	57	7	predefined	predefine	VERB
fcis-11846	57	8	blur	blur	NOUN
fcis-11846	57	9	kernels	kernel	NOUN
fcis-11846	57	10	to	to	PART
fcis-11846	57	11	simulate	simulate	VERB
fcis-11846	57	12	the	the	DET
fcis-11846	57	13	resolution	resolution	NOUN
fcis-11846	57	14	reduction	reduction	NOUN
fcis-11846	57	15	effect	effect	NOUN
fcis-11846	57	16	during	during	ADP
fcis-11846	57	17	image	image	NOUN
fcis-11846	57	18	capture	capture	NOUN
fcis-11846	57	19	with	with	ADP
fcis-11846	57	20	cameras	camera	NOUN
fcis-11846	57	21	.	.	PUNCT
fcis-11846	58	1	this	this	PRON
fcis-11846	58	2	will	will	AUX
fcis-11846	58	3	provide	provide	VERB
fcis-11846	58	4	us	we	PRON
fcis-11846	58	5	with	with	ADP
fcis-11846	58	6	a	a	DET
fcis-11846	58	7	set	set	NOUN
fcis-11846	58	8	of	of	ADP
fcis-11846	58	9	low	low	ADJ
fcis-11846	58	10	-	-	PUNCT
fcis-11846	58	11	resolution	resolution	NOUN
fcis-11846	58	12	face	face	NOUN
fcis-11846	58	13	images	image	NOUN
fcis-11846	58	14	to	to	PART
fcis-11846	58	15	train	train	VERB
fcis-11846	58	16	the	the	DET
fcis-11846	58	17	super	super	ADJ
fcis-11846	58	18	-	-	ADJ
fcis-11846	58	19	resolution	resolution	ADJ
fcis-11846	58	20	model	model	NOUN
fcis-11846	58	21	.	.	PUNCT
fcis-11846	59	1	to	to	PART
fcis-11846	59	2	simulate	simulate	VERB
fcis-11846	59	3	camera	camera	NOUN
fcis-11846	59	4	noise	noise	NOUN
fcis-11846	59	5	effects	effect	NOUN
fcis-11846	59	6	,	,	PUNCT
fcis-11846	59	7	we	we	PRON
fcis-11846	59	8	can	can	AUX
fcis-11846	59	9	introduce	introduce	VERB
fcis-11846	59	10	different	different	ADJ
fcis-11846	59	11	types	type	NOUN
fcis-11846	59	12	of	of	ADP
fcis-11846	59	13	noise	noise	NOUN
fcis-11846	59	14	,	,	PUNCT
fcis-11846	59	15	such	such	ADJ
fcis-11846	59	16	as	as	ADP
fcis-11846	59	17	gaussian	gaussian	ADJ
fcis-11846	59	18	noise	noise	NOUN
fcis-11846	59	19	,	,	PUNCT
fcis-11846	59	20	salt	salt	NOUN
fcis-11846	59	21	-	-	PUNCT
fcis-11846	59	22	andpepper	andpepper	NOUN
fcis-11846	59	23	noise	noise	NOUN
fcis-11846	59	24	,	,	PUNCT
fcis-11846	59	25	etc	etc	X
fcis-11846	59	26	.	.	X
fcis-11846	60	1	these	these	DET
fcis-11846	60	2	noise	noise	NOUN
fcis-11846	60	3	types	type	NOUN
fcis-11846	60	4	will	will	AUX
fcis-11846	60	5	be	be	AUX
fcis-11846	60	6	added	add	VERB
fcis-11846	60	7	to	to	ADP
fcis-11846	60	8	both	both	CCONJ
fcis-11846	60	9	high	high	ADJ
fcis-11846	60	10	-	-	PUNCT
fcis-11846	60	11	definition	definition	NOUN
fcis-11846	60	12	and	and	CCONJ
fcis-11846	60	13	low	low	ADJ
fcis-11846	60	14	-	-	PUNCT
fcis-11846	60	15	resolution	resolution	NOUN
fcis-11846	60	16	face	face	NOUN
fcis-11846	60	17	images	image	NOUN
fcis-11846	60	18	to	to	PART
fcis-11846	60	19	mimic	mimic	VERB
fcis-11846	60	20	the	the	DET
fcis-11846	60	21	noise	noise	NOUN
fcis-11846	60	22	interference	interference	NOUN
fcis-11846	60	23	during	during	ADP
fcis-11846	60	24	image	image	NOUN
fcis-11846	60	25	capture	capture	NOUN
fcis-11846	60	26	in	in	ADP
fcis-11846	60	27	real	real	ADJ
fcis-11846	60	28	-	-	PUNCT
fcis-11846	60	29	world	world	NOUN
fcis-11846	60	30	scenarios	scenario	NOUN
fcis-11846	60	31	.	.	PUNCT
fcis-11846	61	1	when	when	SCONJ
fcis-11846	61	2	constructing	construct	VERB
fcis-11846	61	3	the	the	DET
fcis-11846	61	4	dataset	dataset	NOUN
fcis-11846	61	5	,	,	PUNCT
fcis-11846	61	6	we	we	PRON
fcis-11846	61	7	also	also	ADV
fcis-11846	61	8	need	need	VERB
fcis-11846	61	9	to	to	PART
fcis-11846	61	10	consider	consider	VERB
fcis-11846	61	11	data	datum	NOUN
fcis-11846	61	12	balance	balance	NOUN
fcis-11846	61	13	and	and	CCONJ
fcis-11846	61	14	diversity	diversity	NOUN
fcis-11846	61	15	.	.	PUNCT
fcis-11846	62	1	we	we	PRON
fcis-11846	62	2	can	can	AUX
fcis-11846	62	3	ensure	ensure	VERB
fcis-11846	62	4	that	that	SCONJ
fcis-11846	62	5	the	the	DET
fcis-11846	62	6	dataset	dataset	NOUN
fcis-11846	62	7	contains	contain	VERB
fcis-11846	62	8	face	face	NOUN
fcis-11846	62	9	images	image	NOUN
fcis-11846	62	10	of	of	ADP
fcis-11846	62	11	various	various	ADJ
fcis-11846	62	12	ages	age	NOUN
fcis-11846	62	13	,	,	PUNCT
fcis-11846	62	14	genders	gender	NOUN
fcis-11846	62	15	,	,	PUNCT
fcis-11846	62	16	races	race	NOUN
fcis-11846	62	17	,	,	PUNCT
fcis-11846	62	18	and	and	CCONJ
fcis-11846	62	19	expressions	expression	NOUN
fcis-11846	62	20	to	to	PART
fcis-11846	62	21	improve	improve	VERB
fcis-11846	62	22	the	the	DET
fcis-11846	62	23	model	model	NOUN
fcis-11846	62	24	's	's	PART
fcis-11846	62	25	generalization	generalization	NOUN
fcis-11846	62	26	ability	ability	NOUN
fcis-11846	62	27	and	and	CCONJ
fcis-11846	62	28	robustness	robustness	NOUN
fcis-11846	62	29	.	.	PUNCT
fcis-11846	63	1	finally	finally	ADV
fcis-11846	63	2	,	,	PUNCT
fcis-11846	63	3	we	we	PRON
fcis-11846	63	4	will	will	AUX
fcis-11846	63	5	choose	choose	VERB
fcis-11846	63	6	appropriate	appropriate	ADJ
fcis-11846	63	7	deep	deep	ADJ
fcis-11846	63	8	learning	learning	NOUN
fcis-11846	63	9	models	model	NOUN
fcis-11846	63	10	,	,	PUNCT
fcis-11846	63	11	such	such	ADJ
fcis-11846	63	12	as	as	ADP
fcis-11846	63	13	swinir	swinir	NOUN
fcis-11846	63	14	and	and	CCONJ
fcis-11846	63	15	wgan	wgan	VERB
fcis-11846	63	16	,	,	PUNCT
fcis-11846	63	17	for	for	ADP
fcis-11846	63	18	training	training	NOUN
fcis-11846	63	19	and	and	CCONJ
fcis-11846	63	20	testing	testing	NOUN
fcis-11846	63	21	based	base	VERB
fcis-11846	63	22	on	on	ADP
fcis-11846	63	23	the	the	DET
fcis-11846	63	24	size	size	NOUN
fcis-11846	63	25	and	and	CCONJ
fcis-11846	63	26	complexity	complexity	NOUN
fcis-11846	63	27	of	of	ADP
fcis-11846	63	28	the	the	DET
fcis-11846	63	29	dataset	dataset	NOUN
fcis-11846	63	30	.	.	PUNCT
fcis-11846	64	1	by	by	ADP
fcis-11846	64	2	using	use	VERB
fcis-11846	64	3	such	such	DET
fcis-11846	64	4	a	a	DET
fcis-11846	64	5	dataset	dataset	NOUN
fcis-11846	64	6	,	,	PUNCT
fcis-11846	64	7	we	we	PRON
fcis-11846	64	8	can	can	AUX
fcis-11846	64	9	better	well	ADV
fcis-11846	64	10	evaluate	evaluate	VERB
fcis-11846	64	11	the	the	DET
fcis-11846	64	12	performance	performance	NOUN
fcis-11846	64	13	of	of	ADP
fcis-11846	64	14	the	the	DET
fcis-11846	64	15	models	model	NOUN
fcis-11846	64	16	in	in	ADP
fcis-11846	64	17	simulating	simulate	VERB
fcis-11846	64	18	the	the	DET
fcis-11846	64	19	real	real	ADJ
fcis-11846	64	20	image	image	NOUN
fcis-11846	64	21	capture	capture	NOUN
fcis-11846	64	22	process	process	NOUN
fcis-11846	64	23	,	,	PUNCT
fcis-11846	64	24	providing	provide	VERB
fcis-11846	64	25	valuable	valuable	ADJ
fcis-11846	64	26	experimental	experimental	ADJ
fcis-11846	64	27	data	datum	NOUN
fcis-11846	64	28	and	and	CCONJ
fcis-11846	64	29	conclusions	conclusion	NOUN
fcis-11846	64	30	for	for	ADP
fcis-11846	64	31	research	research	NOUN
fcis-11846	64	32	in	in	ADP
fcis-11846	64	33	image	image	NOUN
fcis-11846	64	34	super	super	NOUN
fcis-11846	64	35	-	-	NOUN
fcis-11846	64	36	resolution	resolution	NOUN
fcis-11846	64	37	and	and	CCONJ
fcis-11846	64	38	denoising	denoising	NOUN
fcis-11846	64	39	techniques	technique	NOUN
fcis-11846	64	40	in	in	ADP
fcis-11846	64	41	computer	computer	NOUN
fcis-11846	64	42	vision	vision	NOUN
fcis-11846	64	43	.	.	PUNCT
fcis-11846	65	1	3.2	3.2	NUM
fcis-11846	65	2	.	.	PUNCT
fcis-11846	66	1	network	network	NOUN
fcis-11846	66	2	structure	structure	NOUN
fcis-11846	66	3	in	in	ADP
fcis-11846	66	4	this	this	DET
fcis-11846	66	5	study	study	NOUN
fcis-11846	66	6	,	,	PUNCT
fcis-11846	66	7	we	we	PRON
fcis-11846	66	8	apply	apply	VERB
fcis-11846	66	9	adversarial	adversarial	ADJ
fcis-11846	66	10	training	training	NOUN
fcis-11846	66	11	techniques	technique	NOUN
fcis-11846	66	12	to	to	ADP
fcis-11846	66	13	the	the	DET
fcis-11846	66	14	swinir	swinir	NOUN
fcis-11846	66	15	model	model	NOUN
fcis-11846	66	16	to	to	PART
fcis-11846	66	17	further	far	ADV
fcis-11846	66	18	enhance	enhance	VERB
fcis-11846	66	19	image	image	NOUN
fcis-11846	66	20	super	super	ADJ
fcis-11846	66	21	-	-	ADJ
fcis-11846	66	22	resolution	resolution	ADJ
fcis-11846	66	23	performance	performance	NOUN
fcis-11846	66	24	.	.	PUNCT
fcis-11846	67	1	swinir	swinir	NOUN
fcis-11846	67	2	is	be	AUX
fcis-11846	67	3	an	an	DET
fcis-11846	67	4	image	image	NOUN
fcis-11846	67	5	super	super	ADJ
fcis-11846	67	6	-	-	ADJ
fcis-11846	67	7	resolution	resolution	ADJ
fcis-11846	67	8	model	model	NOUN
fcis-11846	67	9	based	base	VERB
fcis-11846	67	10	on	on	ADP
fcis-11846	67	11	the	the	DET
fcis-11846	67	12	swin	swin	PROPN
fcis-11846	67	13	transformer	transformer	PROPN
fcis-11846	67	14	,	,	PUNCT
fcis-11846	67	15	while	while	SCONJ
fcis-11846	67	16	adversarial	adversarial	ADJ
fcis-11846	67	17	training	training	NOUN
fcis-11846	67	18	is	be	AUX
fcis-11846	67	19	a	a	DET
fcis-11846	67	20	powerful	powerful	ADJ
fcis-11846	67	21	deep	deep	ADJ
fcis-11846	67	22	learning	learning	NOUN
fcis-11846	67	23	technique	technique	NOUN
fcis-11846	67	24	commonly	commonly	ADV
fcis-11846	67	25	used	use	VERB
fcis-11846	67	26	in	in	ADP
fcis-11846	67	27	gans	gan	NOUN
fcis-11846	67	28	to	to	PART
fcis-11846	67	29	optimize	optimize	VERB
fcis-11846	67	30	the	the	DET
fcis-11846	67	31	model	model	NOUN
fcis-11846	67	32	through	through	ADP
fcis-11846	67	33	the	the	DET
fcis-11846	67	34	adversarial	adversarial	ADJ
fcis-11846	67	35	process	process	NOUN
fcis-11846	67	36	between	between	ADP
fcis-11846	67	37	the	the	DET
fcis-11846	67	38	generator	generator	NOUN
fcis-11846	67	39	and	and	CCONJ
fcis-11846	67	40	discriminator	discriminator	NOUN
fcis-11846	67	41	.	.	PUNCT
fcis-11846	68	1	to	to	PART
fcis-11846	68	2	improve	improve	VERB
fcis-11846	68	3	swinir	swinir	NOUN
fcis-11846	68	4	's	's	PART
fcis-11846	68	5	performance	performance	NOUN
fcis-11846	68	6	,	,	PUNCT
fcis-11846	68	7	we	we	PRON
fcis-11846	68	8	introduce	introduce	VERB
fcis-11846	68	9	adversarial	adversarial	ADJ
fcis-11846	68	10	training	training	NOUN
fcis-11846	68	11	.	.	PUNCT
fcis-11846	69	1	adversarial	adversarial	ADJ
fcis-11846	69	2	training	training	NOUN
fcis-11846	69	3	consists	consist	VERB
fcis-11846	69	4	of	of	ADP
fcis-11846	69	5	two	two	NUM
fcis-11846	69	6	parts	part	NOUN
fcis-11846	69	7	:	:	PUNCT
fcis-11846	69	8	the	the	DET
fcis-11846	69	9	generator	generator	NOUN
fcis-11846	69	10	,	,	PUNCT
fcis-11846	69	11	which	which	PRON
fcis-11846	69	12	is	be	AUX
fcis-11846	69	13	the	the	DET
fcis-11846	69	14	swinir	swinir	NOUN
fcis-11846	69	15	model	model	NOUN
fcis-11846	69	16	itself	itself	PRON
fcis-11846	69	17	responsible	responsible	ADJ
fcis-11846	69	18	for	for	ADP
fcis-11846	69	19	image	image	NOUN
fcis-11846	69	20	super	super	ADJ
fcis-11846	69	21	-	-	ADJ
fcis-11846	69	22	resolution	resolution	ADJ
fcis-11846	69	23	generation	generation	NOUN
fcis-11846	69	24	,	,	PUNCT
fcis-11846	69	25	and	and	CCONJ
fcis-11846	69	26	the	the	DET
fcis-11846	69	27	discriminator	discriminator	NOUN
fcis-11846	69	28	,	,	PUNCT
fcis-11846	69	29	which	which	PRON
fcis-11846	69	30	is	be	AUX
fcis-11846	69	31	a	a	DET
fcis-11846	69	32	binary	binary	ADJ
fcis-11846	69	33	classification	classification	NOUN
fcis-11846	69	34	network	network	NOUN
fcis-11846	69	35	aiming	aim	VERB
fcis-11846	69	36	to	to	PART
fcis-11846	69	37	distinguish	distinguish	VERB
fcis-11846	69	38	between	between	ADP
fcis-11846	69	39	the	the	DET
fcis-11846	69	40	high	high	ADJ
fcis-11846	69	41	-	-	PUNCT
fcis-11846	69	42	resolution	resolution	NOUN
fcis-11846	69	43	images	image	NOUN
fcis-11846	69	44	generated	generate	VERB
fcis-11846	69	45	by	by	ADP
fcis-11846	69	46	the	the	DET
fcis-11846	69	47	generator	generator	NOUN
fcis-11846	69	48	and	and	CCONJ
fcis-11846	69	49	real	real	ADJ
fcis-11846	69	50	high	high	ADJ
fcis-11846	69	51	-	-	PUNCT
fcis-11846	69	52	resolution	resolution	NOUN
fcis-11846	69	53	images	image	NOUN
fcis-11846	69	54	.	.	PUNCT
fcis-11846	70	1	during	during	ADP
fcis-11846	70	2	adversarial	adversarial	ADJ
fcis-11846	70	3	training	training	NOUN
fcis-11846	70	4	,	,	PUNCT
fcis-11846	70	5	the	the	DET
fcis-11846	70	6	discriminator	discriminator	NOUN
fcis-11846	70	7	learns	learn	VERB
fcis-11846	70	8	to	to	PART
fcis-11846	70	9	differentiate	differentiate	VERB
fcis-11846	70	10	between	between	ADP
fcis-11846	70	11	real	real	ADJ
fcis-11846	70	12	and	and	CCONJ
fcis-11846	70	13	generated	generate	VERB
fcis-11846	70	14	images	image	NOUN
fcis-11846	70	15	,	,	PUNCT
fcis-11846	70	16	while	while	SCONJ
fcis-11846	70	17	the	the	DET
fcis-11846	70	18	generator	generator	NOUN
fcis-11846	70	19	minimizes	minimize	VERB
fcis-11846	70	20	the	the	DET
fcis-11846	70	21	adversarial	adversarial	ADJ
fcis-11846	70	22	loss	loss	NOUN
fcis-11846	70	23	to	to	PART
fcis-11846	70	24	gradually	gradually	ADV
fcis-11846	70	25	generate	generate	VERB
fcis-11846	70	26	more	more	ADV
fcis-11846	70	27	realistic	realistic	ADJ
fcis-11846	70	28	and	and	CCONJ
fcis-11846	70	29	highquality	highquality	NOUN
fcis-11846	70	30	high	high	ADJ
fcis-11846	70	31	-	-	PUNCT
fcis-11846	70	32	resolution	resolution	NOUN
fcis-11846	70	33	images	image	NOUN
fcis-11846	70	34	.	.	PUNCT
fcis-11846	71	1	by	by	ADP
fcis-11846	71	2	incorporating	incorporate	VERB
fcis-11846	71	3	adversarial	adversarial	ADJ
fcis-11846	71	4	training	training	NOUN
fcis-11846	71	5	techniques	technique	NOUN
fcis-11846	71	6	into	into	ADP
fcis-11846	71	7	the	the	DET
fcis-11846	71	8	training	training	NOUN
fcis-11846	71	9	process	process	NOUN
fcis-11846	71	10	of	of	ADP
fcis-11846	71	11	the	the	DET
fcis-11846	71	12	swinir	swinir	NOUN
fcis-11846	71	13	model	model	NOUN
fcis-11846	71	14	,	,	PUNCT
fcis-11846	71	15	we	we	PRON
fcis-11846	71	16	expect	expect	VERB
fcis-11846	71	17	the	the	DET
fcis-11846	71	18	generator	generator	NOUN
fcis-11846	71	19	to	to	PART
fcis-11846	71	20	receive	receive	VERB
fcis-11846	71	21	feedback	feedback	NOUN
fcis-11846	71	22	from	from	ADP
fcis-11846	71	23	the	the	DET
fcis-11846	71	24	discriminator	discriminator	NOUN
fcis-11846	71	25	,	,	PUNCT
fcis-11846	71	26	further	far	ADV
fcis-11846	71	27	improving	improve	VERB
fcis-11846	71	28	the	the	DET
fcis-11846	71	29	quality	quality	NOUN
fcis-11846	71	30	of	of	ADP
fcis-11846	71	31	generated	generate	VERB
fcis-11846	71	32	high	high	ADJ
fcis-11846	71	33	-	-	PUNCT
fcis-11846	71	34	resolution	resolution	NOUN
fcis-11846	71	35	images	image	NOUN
fcis-11846	71	36	.	.	PUNCT
fcis-11846	72	1	the	the	DET
fcis-11846	72	2	introduction	introduction	NOUN
fcis-11846	72	3	of	of	ADP
fcis-11846	72	4	adversarial	adversarial	ADJ
fcis-11846	72	5	training	training	NOUN
fcis-11846	72	6	is	be	AUX
fcis-11846	72	7	expected	expect	VERB
fcis-11846	72	8	to	to	PART
fcis-11846	72	9	enhance	enhance	VERB
fcis-11846	72	10	the	the	DET
fcis-11846	72	11	expressive	expressive	ADJ
fcis-11846	72	12	power	power	NOUN
fcis-11846	72	13	of	of	ADP
fcis-11846	72	14	the	the	DET
fcis-11846	72	15	swinir	swinir	NOUN
fcis-11846	72	16	model	model	NOUN
fcis-11846	72	17	,	,	PUNCT
fcis-11846	72	18	improve	improve	VERB
fcis-11846	72	19	its	its	PRON
fcis-11846	72	20	performance	performance	NOUN
fcis-11846	72	21	in	in	ADP
fcis-11846	72	22	handling	handle	VERB
fcis-11846	72	23	complex	complex	ADJ
fcis-11846	72	24	textures	texture	NOUN
fcis-11846	72	25	and	and	CCONJ
fcis-11846	72	26	details	detail	NOUN
fcis-11846	72	27	,	,	PUNCT
fcis-11846	72	28	and	and	CCONJ
fcis-11846	72	29	achieve	achieve	VERB
fcis-11846	72	30	superior	superior	ADJ
fcis-11846	72	31	image	image	NOUN
fcis-11846	72	32	super	super	ADJ
fcis-11846	72	33	-	-	ADJ
fcis-11846	72	34	resolution	resolution	ADJ
fcis-11846	72	35	results	result	NOUN
fcis-11846	72	36	.	.	PUNCT
fcis-11846	73	1	in	in	ADP
fcis-11846	73	2	summary	summary	NOUN
fcis-11846	73	3	,	,	PUNCT
fcis-11846	73	4	this	this	DET
fcis-11846	73	5	study	study	NOUN
fcis-11846	73	6	aims	aim	VERB
fcis-11846	73	7	to	to	PART
fcis-11846	73	8	explore	explore	VERB
fcis-11846	73	9	new	new	ADJ
fcis-11846	73	10	training	training	NOUN
fcis-11846	73	11	strategies	strategy	NOUN
fcis-11846	73	12	in	in	ADP
fcis-11846	73	13	the	the	DET
fcis-11846	73	14	field	field	NOUN
fcis-11846	73	15	of	of	ADP
fcis-11846	73	16	image	image	NOUN
fcis-11846	73	17	super	super	NOUN
fcis-11846	73	18	-	-	NOUN
fcis-11846	73	19	resolution	resolution	NOUN
fcis-11846	73	20	by	by	ADP
fcis-11846	73	21	applying	apply	VERB
fcis-11846	73	22	adversarial	adversarial	ADJ
fcis-11846	73	23	training	training	NOUN
fcis-11846	73	24	techniques	technique	NOUN
fcis-11846	73	25	to	to	ADP
fcis-11846	73	26	the	the	DET
fcis-11846	73	27	swinir	swinir	NOUN
fcis-11846	73	28	model	model	NOUN
fcis-11846	73	29	to	to	PART
fcis-11846	73	30	enhance	enhance	VERB
fcis-11846	73	31	its	its	PRON
fcis-11846	73	32	performance	performance	NOUN
fcis-11846	73	33	and	and	CCONJ
fcis-11846	73	34	effectiveness	effectiveness	NOUN
fcis-11846	73	35	.	.	PUNCT
fcis-11846	74	1	the	the	DET
fcis-11846	74	2	design	design	NOUN
fcis-11846	74	3	of	of	ADP
fcis-11846	74	4	this	this	DET
fcis-11846	74	5	model	model	NOUN
fcis-11846	74	6	will	will	AUX
fcis-11846	74	7	combine	combine	VERB
fcis-11846	74	8	the	the	DET
fcis-11846	74	9	characteristics	characteristic	NOUN
fcis-11846	74	10	of	of	ADP
fcis-11846	74	11	swinir	swinir	NOUN
fcis-11846	74	12	and	and	CCONJ
fcis-11846	74	13	the	the	DET
fcis-11846	74	14	advantages	advantage	NOUN
fcis-11846	74	15	of	of	ADP
fcis-11846	74	16	adversarial	adversarial	ADJ
fcis-11846	74	17	training	training	NOUN
fcis-11846	74	18	,	,	PUNCT
fcis-11846	74	19	bringing	bring	VERB
fcis-11846	74	20	new	new	ADJ
fcis-11846	74	21	breakthroughs	breakthrough	NOUN
fcis-11846	74	22	and	and	CCONJ
fcis-11846	74	23	improvements	improvement	NOUN
fcis-11846	74	24	to	to	PART
fcis-11846	74	25	image	image	VERB
fcis-11846	74	26	super	super	ADJ
fcis-11846	74	27	-	-	ADJ
fcis-11846	74	28	resolution	resolution	ADJ
fcis-11846	74	29	tasks	task	NOUN
fcis-11846	74	30	.	.	PUNCT
fcis-11846	75	1	3.3	3.3	NUM
fcis-11846	75	2	.	.	PUNCT
fcis-11846	75	3	training	training	NOUN
fcis-11846	75	4	process	process	NOUN
fcis-11846	75	5	in	in	ADP
fcis-11846	75	6	each	each	DET
fcis-11846	75	7	iteration	iteration	NOUN
fcis-11846	75	8	,	,	PUNCT
fcis-11846	75	9	the	the	DET
fcis-11846	75	10	training	training	NOUN
fcis-11846	75	11	data	datum	NOUN
fcis-11846	75	12	loader	loader	NOUN
fcis-11846	75	13	is	be	AUX
fcis-11846	75	14	traversed	traverse	VERB
fcis-11846	75	15	,	,	PUNCT
fcis-11846	75	16	and	and	CCONJ
fcis-11846	75	17	89	89	NUM
fcis-11846	75	18	based	base	VERB
fcis-11846	75	19	on	on	ADP
fcis-11846	75	20	the	the	DET
fcis-11846	75	21	current	current	ADJ
fcis-11846	75	22	training	training	NOUN
fcis-11846	75	23	step	step	NOUN
fcis-11846	75	24	,	,	PUNCT
fcis-11846	75	25	the	the	DET
fcis-11846	75	26	learning	learning	NOUN
fcis-11846	75	27	rate	rate	NOUN
fcis-11846	75	28	is	be	AUX
fcis-11846	75	29	updated	update	VERB
fcis-11846	75	30	to	to	PART
fcis-11846	75	31	adjust	adjust	VERB
fcis-11846	75	32	the	the	DET
fcis-11846	75	33	learning	learning	NOUN
fcis-11846	75	34	rate	rate	NOUN
fcis-11846	75	35	during	during	ADP
fcis-11846	75	36	the	the	DET
fcis-11846	75	37	training	training	NOUN
fcis-11846	75	38	process	process	NOUN
fcis-11846	75	39	.	.	PUNCT
fcis-11846	76	1	the	the	DET
fcis-11846	76	2	initial	initial	ADJ
fcis-11846	76	3	learning	learning	NOUN
fcis-11846	76	4	rate	rate	NOUN
fcis-11846	76	5	is	be	AUX
fcis-11846	76	6	set	set	VERB
fcis-11846	76	7	to	to	ADP
fcis-11846	76	8	0.0001	0.0001	NUM
fcis-11846	76	9	,	,	PUNCT
fcis-11846	76	10	and	and	CCONJ
fcis-11846	76	11	the	the	DET
fcis-11846	76	12	batch	batch	NOUN
fcis-11846	76	13	size	size	NOUN
fcis-11846	76	14	is	be	AUX
fcis-11846	76	15	set	set	VERB
fcis-11846	76	16	to	to	ADP
fcis-11846	76	17	16	16	NUM
fcis-11846	76	18	.	.	PUNCT
fcis-11846	77	1	the	the	DET
fcis-11846	77	2	training	training	NOUN
fcis-11846	77	3	data	data	NOUN
fcis-11846	77	4	is	be	AUX
fcis-11846	77	5	then	then	ADV
fcis-11846	77	6	fed	feed	VERB
fcis-11846	77	7	into	into	ADP
fcis-11846	77	8	the	the	DET
fcis-11846	77	9	swinir	swinir	NOUN
fcis-11846	77	10	model	model	NOUN
fcis-11846	77	11	.	.	PUNCT
fcis-11846	78	1	the	the	DET
fcis-11846	78	2	parameters	parameter	NOUN
fcis-11846	78	3	of	of	ADP
fcis-11846	78	4	the	the	DET
fcis-11846	78	5	generator	generator	NOUN
fcis-11846	78	6	and	and	CCONJ
fcis-11846	78	7	discriminator	discriminator	NOUN
fcis-11846	78	8	are	be	AUX
fcis-11846	78	9	optimized	optimize	VERB
fcis-11846	78	10	to	to	PART
fcis-11846	78	11	gradually	gradually	ADV
fcis-11846	78	12	learn	learn	VERB
fcis-11846	78	13	better	well	ADJ
fcis-11846	78	14	image	image	NOUN
fcis-11846	78	15	super	super	ADJ
fcis-11846	78	16	-	-	ADJ
fcis-11846	78	17	resolution	resolution	ADJ
fcis-11846	78	18	effects	effect	NOUN
fcis-11846	78	19	.	.	PUNCT
fcis-11846	79	1	adversarial	adversarial	ADJ
fcis-11846	79	2	training	training	NOUN
fcis-11846	79	3	techniques	technique	NOUN
fcis-11846	79	4	play	play	VERB
fcis-11846	79	5	a	a	DET
fcis-11846	79	6	crucial	crucial	ADJ
fcis-11846	79	7	role	role	NOUN
fcis-11846	79	8	in	in	ADP
fcis-11846	79	9	the	the	DET
fcis-11846	79	10	optimization	optimization	NOUN
fcis-11846	79	11	process	process	NOUN
fcis-11846	79	12	,	,	PUNCT
fcis-11846	79	13	as	as	SCONJ
fcis-11846	79	14	they	they	PRON
fcis-11846	79	15	optimize	optimize	VERB
fcis-11846	79	16	the	the	DET
fcis-11846	79	17	model	model	NOUN
fcis-11846	79	18	through	through	ADP
fcis-11846	79	19	the	the	DET
fcis-11846	79	20	adversarial	adversarial	ADJ
fcis-11846	79	21	process	process	NOUN
fcis-11846	79	22	between	between	ADP
fcis-11846	79	23	the	the	DET
fcis-11846	79	24	generator	generator	NOUN
fcis-11846	79	25	and	and	CCONJ
fcis-11846	79	26	discriminator	discriminator	NOUN
fcis-11846	79	27	.	.	PUNCT
fcis-11846	80	1	at	at	ADP
fcis-11846	80	2	regular	regular	ADJ
fcis-11846	80	3	training	training	NOUN
fcis-11846	80	4	steps	step	NOUN
fcis-11846	80	5	,	,	PUNCT
fcis-11846	80	6	training	training	NOUN
fcis-11846	80	7	information	information	NOUN
fcis-11846	80	8	is	be	AUX
fcis-11846	80	9	recorded	record	VERB
fcis-11846	80	10	,	,	PUNCT
fcis-11846	80	11	including	include	VERB
fcis-11846	80	12	the	the	DET
fcis-11846	80	13	current	current	ADJ
fcis-11846	80	14	epoch	epoch	NOUN
fcis-11846	80	15	number	number	NOUN
fcis-11846	80	16	,	,	PUNCT
fcis-11846	80	17	training	training	NOUN
fcis-11846	80	18	step	step	NOUN
fcis-11846	80	19	,	,	PUNCT
fcis-11846	80	20	current	current	ADJ
fcis-11846	80	21	learning	learning	NOUN
fcis-11846	80	22	rate	rate	NOUN
fcis-11846	80	23	,	,	PUNCT
fcis-11846	80	24	loss	loss	NOUN
fcis-11846	80	25	values	value	NOUN
fcis-11846	80	26	,	,	PUNCT
fcis-11846	80	27	etc	etc	X
fcis-11846	80	28	.	.	X
fcis-11846	80	29	,	,	PUNCT
fcis-11846	80	30	and	and	CCONJ
fcis-11846	80	31	the	the	DET
fcis-11846	80	32	model	model	NOUN
fcis-11846	80	33	parameters	parameter	NOUN
fcis-11846	80	34	are	be	AUX
fcis-11846	80	35	saved	save	VERB
fcis-11846	80	36	for	for	ADP
fcis-11846	80	37	subsequent	subsequent	ADJ
fcis-11846	80	38	testing	testing	NOUN
fcis-11846	80	39	and	and	CCONJ
fcis-11846	80	40	continued	continued	ADJ
fcis-11846	80	41	training	training	NOUN
fcis-11846	80	42	.	.	PUNCT
fcis-11846	81	1	a	a	DET
fcis-11846	81	2	test	test	NOUN
fcis-11846	81	3	is	be	AUX
fcis-11846	81	4	also	also	ADV
fcis-11846	81	5	conducted	conduct	VERB
fcis-11846	81	6	,	,	PUNCT
fcis-11846	81	7	where	where	SCONJ
fcis-11846	81	8	test	test	NOUN
fcis-11846	81	9	images	image	NOUN
fcis-11846	81	10	from	from	ADP
fcis-11846	81	11	the	the	DET
fcis-11846	81	12	test	test	NOUN
fcis-11846	81	13	set	set	NOUN
fcis-11846	81	14	are	be	AUX
fcis-11846	81	15	fed	feed	VERB
fcis-11846	81	16	into	into	ADP
fcis-11846	81	17	the	the	DET
fcis-11846	81	18	swinir	swinir	NOUN
fcis-11846	81	19	model	model	NOUN
fcis-11846	81	20	to	to	PART
fcis-11846	81	21	obtain	obtain	VERB
fcis-11846	81	22	superresolution	superresolution	NOUN
fcis-11846	81	23	images	image	NOUN
fcis-11846	81	24	,	,	PUNCT
fcis-11846	81	25	and	and	CCONJ
fcis-11846	81	26	the	the	DET
fcis-11846	81	27	peak	peak	NOUN
fcis-11846	81	28	signal	signal	NOUN
fcis-11846	81	29	-	-	PUNCT
fcis-11846	81	30	to	to	ADP
fcis-11846	81	31	-	-	PUNCT
fcis-11846	81	32	noise	noise	NOUN
fcis-11846	81	33	ratio	ratio	NOUN
fcis-11846	81	34	(	(	PUNCT
fcis-11846	81	35	psnr	psnr	NOUN
fcis-11846	81	36	)	)	PUNCT
fcis-11846	81	37	value	value	NOUN
fcis-11846	81	38	between	between	ADP
fcis-11846	81	39	the	the	DET
fcis-11846	81	40	reconstructed	reconstruct	VERB
fcis-11846	81	41	images	image	NOUN
fcis-11846	81	42	and	and	CCONJ
fcis-11846	81	43	real	real	ADJ
fcis-11846	81	44	highresolution	highresolution	NOUN
fcis-11846	81	45	images	image	NOUN
fcis-11846	81	46	is	be	AUX
fcis-11846	81	47	calculated	calculate	VERB
fcis-11846	81	48	as	as	ADP
fcis-11846	81	49	an	an	DET
fcis-11846	81	50	evaluation	evaluation	NOUN
fcis-11846	81	51	metric	metric	NOUN
fcis-11846	81	52	for	for	ADP
fcis-11846	81	53	image	image	NOUN
fcis-11846	81	54	reconstruction	reconstruction	NOUN
fcis-11846	81	55	quality	quality	NOUN
fcis-11846	81	56	.	.	PUNCT
fcis-11846	82	1	through	through	ADP
fcis-11846	82	2	the	the	DET
fcis-11846	82	3	above	above	ADJ
fcis-11846	82	4	training	training	NOUN
fcis-11846	82	5	process	process	NOUN
fcis-11846	82	6	,	,	PUNCT
fcis-11846	82	7	we	we	PRON
fcis-11846	82	8	combine	combine	VERB
fcis-11846	82	9	adversarial	adversarial	ADJ
fcis-11846	82	10	training	training	NOUN
fcis-11846	82	11	techniques	technique	NOUN
fcis-11846	82	12	with	with	ADP
fcis-11846	82	13	the	the	DET
fcis-11846	82	14	swinir	swinir	NOUN
fcis-11846	82	15	model	model	NOUN
fcis-11846	82	16	and	and	CCONJ
fcis-11846	82	17	optimize	optimize	VERB
fcis-11846	82	18	the	the	DET
fcis-11846	82	19	parameters	parameter	NOUN
fcis-11846	82	20	of	of	ADP
fcis-11846	82	21	the	the	DET
fcis-11846	82	22	super	super	ADJ
fcis-11846	82	23	-	-	ADJ
fcis-11846	82	24	resolution	resolution	ADJ
fcis-11846	82	25	model	model	NOUN
fcis-11846	82	26	through	through	ADP
fcis-11846	82	27	extensive	extensive	ADJ
fcis-11846	82	28	data	datum	NOUN
fcis-11846	82	29	training	training	NOUN
fcis-11846	82	30	.	.	PUNCT
fcis-11846	83	1	this	this	PRON
fcis-11846	83	2	enables	enable	VERB
fcis-11846	83	3	the	the	DET
fcis-11846	83	4	model	model	NOUN
fcis-11846	83	5	to	to	PART
fcis-11846	83	6	achieve	achieve	VERB
fcis-11846	83	7	better	well	ADJ
fcis-11846	83	8	image	image	NOUN
fcis-11846	83	9	reconstruction	reconstruction	NOUN
fcis-11846	83	10	results	result	NOUN
fcis-11846	83	11	on	on	ADP
fcis-11846	83	12	widely	widely	ADV
fcis-11846	83	13	used	use	VERB
fcis-11846	83	14	devices	device	NOUN
fcis-11846	83	15	,	,	PUNCT
fcis-11846	83	16	providing	provide	VERB
fcis-11846	83	17	more	more	ADV
fcis-11846	83	18	detailed	detailed	ADJ
fcis-11846	83	19	image	image	NOUN
fcis-11846	83	20	features	feature	VERB
fcis-11846	83	21	for	for	ADP
fcis-11846	83	22	eyetracking	eyetracke	VERB
fcis-11846	83	23	technology	technology	NOUN
fcis-11846	83	24	and	and	CCONJ
fcis-11846	83	25	facial	facial	ADJ
fcis-11846	83	26	recognition	recognition	NOUN
fcis-11846	83	27	in	in	ADP
fcis-11846	83	28	various	various	ADJ
fcis-11846	83	29	fields	field	NOUN
fcis-11846	83	30	.	.	PUNCT
fcis-11846	84	1	4	4	X
fcis-11846	84	2	.	.	X
fcis-11846	84	3	experience	experience	NOUN
fcis-11846	84	4	in	in	ADP
fcis-11846	84	5	this	this	DET
fcis-11846	84	6	section	section	NOUN
fcis-11846	84	7	,	,	PUNCT
fcis-11846	84	8	we	we	PRON
fcis-11846	84	9	will	will	AUX
fcis-11846	84	10	present	present	VERB
fcis-11846	84	11	the	the	DET
fcis-11846	84	12	experimental	experimental	ADJ
fcis-11846	84	13	results	result	NOUN
fcis-11846	84	14	of	of	ADP
fcis-11846	84	15	the	the	DET
fcis-11846	84	16	swinir	swinir	NOUN
fcis-11846	84	17	model	model	NOUN
fcis-11846	84	18	using	use	VERB
fcis-11846	84	19	adversarial	adversarial	ADJ
fcis-11846	84	20	training	training	NOUN
fcis-11846	84	21	for	for	ADP
fcis-11846	84	22	the	the	DET
fcis-11846	84	23	task	task	NOUN
fcis-11846	84	24	of	of	ADP
fcis-11846	84	25	face	face	NOUN
fcis-11846	84	26	image	image	NOUN
fcis-11846	84	27	super	super	NOUN
fcis-11846	84	28	-	-	NOUN
fcis-11846	84	29	resolution	resolution	NOUN
fcis-11846	84	30	.	.	PUNCT
fcis-11846	85	1	we	we	PRON
fcis-11846	85	2	utilize	utilize	VERB
fcis-11846	85	3	a	a	DET
fcis-11846	85	4	high	high	ADJ
fcis-11846	85	5	-	-	PUNCT
fcis-11846	85	6	resolution	resolution	NOUN
fcis-11846	85	7	face	face	NOUN
fcis-11846	85	8	dataset	dataset	VERB
fcis-11846	85	9	from	from	ADP
fcis-11846	85	10	computer	computer	NOUN
fcis-11846	85	11	vision	vision	NOUN
fcis-11846	85	12	,	,	PUNCT
fcis-11846	85	13	which	which	PRON
fcis-11846	85	14	is	be	AUX
fcis-11846	85	15	processed	process	VERB
fcis-11846	85	16	by	by	ADP
fcis-11846	85	17	downsampling	downsample	VERB
fcis-11846	85	18	the	the	DET
fcis-11846	85	19	resolution	resolution	NOUN
fcis-11846	85	20	and	and	CCONJ
fcis-11846	85	21	adding	add	VERB
fcis-11846	85	22	noise	noise	NOUN
fcis-11846	85	23	to	to	PART
fcis-11846	85	24	simulate	simulate	VERB
fcis-11846	85	25	the	the	DET
fcis-11846	85	26	image	image	NOUN
fcis-11846	85	27	capture	capture	NOUN
fcis-11846	85	28	scenarios	scenario	NOUN
fcis-11846	85	29	of	of	ADP
fcis-11846	85	30	most	most	ADJ
fcis-11846	85	31	cameras	camera	NOUN
fcis-11846	85	32	.	.	PUNCT
fcis-11846	86	1	these	these	DET
fcis-11846	86	2	datasets	dataset	NOUN
fcis-11846	86	3	are	be	AUX
fcis-11846	86	4	used	use	VERB
fcis-11846	86	5	to	to	PART
fcis-11846	86	6	train	train	VERB
fcis-11846	86	7	the	the	DET
fcis-11846	86	8	model	model	NOUN
fcis-11846	86	9	.	.	PUNCT
fcis-11846	87	1	4.1	4.1	NUM
fcis-11846	87	2	.	.	PUNCT
fcis-11846	87	3	training	training	NOUN
fcis-11846	87	4	convergence	convergence	NOUN
fcis-11846	87	5	during	during	ADP
fcis-11846	87	6	the	the	DET
fcis-11846	87	7	training	training	NOUN
fcis-11846	87	8	process	process	NOUN
fcis-11846	88	1	,	,	PUNCT
fcis-11846	88	2	we	we	PRON
fcis-11846	88	3	recorded	record	VERB
fcis-11846	88	4	the	the	DET
fcis-11846	88	5	loss	loss	NOUN
fcis-11846	88	6	values	value	NOUN
fcis-11846	88	7	and	and	CCONJ
fcis-11846	88	8	psnr	psnr	NOUN
fcis-11846	88	9	metrics	metric	NOUN
fcis-11846	88	10	for	for	ADP
fcis-11846	88	11	each	each	DET
fcis-11846	88	12	training	train	VERB
fcis-11846	88	13	epoch	epoch	NOUN
fcis-11846	88	14	to	to	PART
fcis-11846	88	15	observe	observe	VERB
fcis-11846	88	16	the	the	DET
fcis-11846	88	17	convergence	convergence	NOUN
fcis-11846	88	18	of	of	ADP
fcis-11846	88	19	the	the	DET
fcis-11846	88	20	training	training	NOUN
fcis-11846	88	21	.	.	PUNCT
fcis-11846	89	1	the	the	DET
fcis-11846	89	2	following	follow	VERB
fcis-11846	89	3	two	two	NUM
fcis-11846	89	4	figures	figure	NOUN
fcis-11846	89	5	illustrate	illustrate	VERB
fcis-11846	89	6	the	the	DET
fcis-11846	89	7	loss	loss	NOUN
fcis-11846	89	8	of	of	ADP
fcis-11846	89	9	the	the	DET
fcis-11846	89	10	generator	generator	NOUN
fcis-11846	89	11	and	and	CCONJ
fcis-11846	89	12	the	the	DET
fcis-11846	89	13	psnr	psnr	NOUN
fcis-11846	89	14	(	(	PUNCT
fcis-11846	89	15	peak	peak	NOUN
fcis-11846	89	16	signalto	signalto	NOUN
fcis-11846	89	17	-	-	PUNCT
fcis-11846	89	18	noise	noise	NOUN
fcis-11846	89	19	ratio	ratio	NOUN
fcis-11846	89	20	)	)	PUNCT
fcis-11846	89	21	metric	metric	NOUN
fcis-11846	89	22	of	of	ADP
fcis-11846	89	23	the	the	DET
fcis-11846	89	24	model	model	NOUN
fcis-11846	89	25	during	during	ADP
fcis-11846	89	26	the	the	DET
fcis-11846	89	27	training	training	NOUN
fcis-11846	89	28	process	process	NOUN
fcis-11846	89	29	.	.	PUNCT
fcis-11846	90	1	as	as	SCONJ
fcis-11846	90	2	shown	show	VERB
fcis-11846	90	3	in	in	ADP
fcis-11846	90	4	figure	figure	NOUN
fcis-11846	90	5	1	1	NUM
fcis-11846	90	6	,	,	PUNCT
fcis-11846	90	7	it	it	PRON
fcis-11846	90	8	can	can	AUX
fcis-11846	90	9	be	be	AUX
fcis-11846	90	10	observed	observe	VERB
fcis-11846	90	11	that	that	SCONJ
fcis-11846	90	12	with	with	ADP
fcis-11846	90	13	the	the	DET
fcis-11846	90	14	progress	progress	NOUN
fcis-11846	90	15	of	of	ADP
fcis-11846	90	16	iterations	iteration	NOUN
fcis-11846	90	17	,	,	PUNCT
fcis-11846	90	18	the	the	DET
fcis-11846	90	19	loss	loss	NOUN
fcis-11846	90	20	of	of	ADP
fcis-11846	90	21	the	the	DET
fcis-11846	90	22	generator	generator	NOUN
fcis-11846	90	23	gradually	gradually	ADV
fcis-11846	90	24	decreases	decrease	VERB
fcis-11846	90	25	,	,	PUNCT
fcis-11846	90	26	converging	converge	VERB
fcis-11846	90	27	around	around	ADP
fcis-11846	90	28	0.01	0.01	NUM
fcis-11846	90	29	,	,	PUNCT
fcis-11846	90	30	and	and	CCONJ
fcis-11846	90	31	eventually	eventually	ADV
fcis-11846	90	32	stabilizes	stabilize	VERB
fcis-11846	90	33	at	at	ADP
fcis-11846	90	34	approximately	approximately	ADV
fcis-11846	90	35	0.01	0.01	NUM
fcis-11846	90	36	.	.	PUNCT
fcis-11846	91	1	in	in	ADP
fcis-11846	91	2	figure	figure	NOUN
fcis-11846	91	3	2	2	NUM
fcis-11846	91	4	,	,	PUNCT
fcis-11846	91	5	as	as	SCONJ
fcis-11846	91	6	the	the	DET
fcis-11846	91	7	generator	generator	NOUN
fcis-11846	91	8	loss	loss	NOUN
fcis-11846	91	9	decreases	decrease	VERB
fcis-11846	91	10	,	,	PUNCT
fcis-11846	91	11	the	the	DET
fcis-11846	91	12	psnr	psnr	NOUN
fcis-11846	91	13	also	also	ADV
fcis-11846	91	14	increases	increase	VERB
fcis-11846	91	15	gradually	gradually	ADV
fcis-11846	91	16	,	,	PUNCT
fcis-11846	91	17	ultimately	ultimately	ADV
fcis-11846	91	18	stabilizing	stabilize	VERB
fcis-11846	91	19	at	at	ADP
fcis-11846	91	20	around	around	ADP
fcis-11846	91	21	40.6	40.6	NUM
fcis-11846	91	22	.	.	PUNCT
fcis-11846	92	1	figure	figure	NOUN
fcis-11846	92	2	1	1	NUM
fcis-11846	92	3	.	.	PUNCT
fcis-11846	93	1	as	as	SCONJ
fcis-11846	93	2	the	the	DET
fcis-11846	93	3	epochs	epoch	NOUN
fcis-11846	93	4	progress	progress	VERB
fcis-11846	93	5	,	,	PUNCT
fcis-11846	93	6	the	the	DET
fcis-11846	93	7	loss	loss	NOUN
fcis-11846	93	8	of	of	ADP
fcis-11846	93	9	the	the	DET
fcis-11846	93	10	generator	generator	NOUN
fcis-11846	93	11	decreases	decrease	VERB
fcis-11846	93	12	.	.	PUNCT
fcis-11846	94	1	figure	figure	NOUN
fcis-11846	94	2	2	2	NUM
fcis-11846	94	3	.	.	PUNCT
fcis-11846	94	4	during	during	ADP
fcis-11846	94	5	the	the	DET
fcis-11846	94	6	training	training	NOUN
fcis-11846	94	7	process	process	NOUN
fcis-11846	94	8	,	,	PUNCT
fcis-11846	94	9	the	the	DET
fcis-11846	94	10	psnr	psnr	NOUN
fcis-11846	94	11	increases	increase	VERB
fcis-11846	94	12	and	and	CCONJ
fcis-11846	94	13	eventually	eventually	ADV
fcis-11846	94	14	stabilizes	stabilize	VERB
fcis-11846	94	15	.	.	PUNCT
fcis-11846	95	1	during	during	ADP
fcis-11846	95	2	the	the	DET
fcis-11846	95	3	training	training	NOUN
fcis-11846	95	4	process	process	NOUN
fcis-11846	95	5	,	,	PUNCT
fcis-11846	95	6	we	we	PRON
fcis-11846	95	7	recorded	record	VERB
fcis-11846	95	8	the	the	DET
fcis-11846	95	9	loss	loss	NOUN
fcis-11846	95	10	values	value	NOUN
fcis-11846	95	11	and	and	CCONJ
fcis-11846	95	12	psnr	psnr	NOUN
fcis-11846	95	13	metric	metric	ADJ
fcis-11846	95	14	for	for	ADP
fcis-11846	95	15	each	each	DET
fcis-11846	95	16	training	train	VERB
fcis-11846	95	17	epoch	epoch	NOUN
fcis-11846	95	18	to	to	PART
fcis-11846	95	19	observe	observe	VERB
fcis-11846	95	20	the	the	DET
fcis-11846	95	21	convergence	convergence	NOUN
fcis-11846	95	22	.	.	PUNCT
fcis-11846	96	1	the	the	DET
fcis-11846	96	2	charts	chart	NOUN
fcis-11846	96	3	show	show	VERB
fcis-11846	96	4	that	that	SCONJ
fcis-11846	96	5	as	as	ADP
fcis-11846	96	6	the	the	DET
fcis-11846	96	7	training	training	NOUN
fcis-11846	96	8	progresses	progress	VERB
fcis-11846	96	9	,	,	PUNCT
fcis-11846	96	10	the	the	DET
fcis-11846	96	11	loss	loss	NOUN
fcis-11846	96	12	values	value	NOUN
fcis-11846	96	13	gradually	gradually	ADV
fcis-11846	96	14	decrease	decrease	VERB
fcis-11846	96	15	,	,	PUNCT
fcis-11846	96	16	and	and	CCONJ
fcis-11846	96	17	the	the	DET
fcis-11846	96	18	psnr	psnr	NOUN
fcis-11846	96	19	metric	metric	NOUN
fcis-11846	96	20	90	90	NUM
fcis-11846	96	21	improves	improve	VERB
fcis-11846	96	22	.	.	PUNCT
fcis-11846	97	1	this	this	PRON
fcis-11846	97	2	indicates	indicate	VERB
fcis-11846	97	3	that	that	SCONJ
fcis-11846	97	4	the	the	DET
fcis-11846	97	5	model	model	NOUN
fcis-11846	97	6	is	be	AUX
fcis-11846	97	7	gradually	gradually	ADV
fcis-11846	97	8	learning	learn	VERB
fcis-11846	97	9	better	well	ADJ
fcis-11846	97	10	super	super	ADJ
fcis-11846	97	11	-	-	ADJ
fcis-11846	97	12	resolution	resolution	ADJ
fcis-11846	97	13	capabilities	capability	NOUN
fcis-11846	97	14	.	.	PUNCT
fcis-11846	98	1	in	in	ADP
fcis-11846	98	2	the	the	DET
fcis-11846	98	3	initial	initial	ADJ
fcis-11846	98	4	stages	stage	NOUN
fcis-11846	98	5	of	of	ADP
fcis-11846	98	6	training	training	NOUN
fcis-11846	98	7	,	,	PUNCT
fcis-11846	98	8	the	the	DET
fcis-11846	98	9	loss	loss	NOUN
fcis-11846	98	10	values	value	NOUN
fcis-11846	98	11	exhibit	exhibit	VERB
fcis-11846	98	12	fluctuations	fluctuation	NOUN
fcis-11846	98	13	around	around	ADP
fcis-11846	98	14	2000	2000	NUM
fcis-11846	98	15	iterations	iteration	NOUN
fcis-11846	98	16	,	,	PUNCT
fcis-11846	98	17	gradually	gradually	ADV
fcis-11846	98	18	decreasing	decrease	VERB
fcis-11846	98	19	to	to	ADP
fcis-11846	98	20	approximately	approximately	ADV
fcis-11846	98	21	0.17	0.17	NUM
fcis-11846	98	22	.	.	PUNCT
fcis-11846	99	1	this	this	DET
fcis-11846	99	2	phase	phase	NOUN
fcis-11846	99	3	may	may	AUX
fcis-11846	99	4	be	be	AUX
fcis-11846	99	5	attributed	attribute	VERB
fcis-11846	99	6	to	to	ADP
fcis-11846	99	7	the	the	DET
fcis-11846	99	8	model	model	NOUN
fcis-11846	99	9	adapting	adapt	VERB
fcis-11846	99	10	to	to	ADP
fcis-11846	99	11	the	the	DET
fcis-11846	99	12	training	training	NOUN
fcis-11846	99	13	data	datum	NOUN
fcis-11846	99	14	and	and	CCONJ
fcis-11846	99	15	learning	learn	VERB
fcis-11846	99	16	some	some	DET
fcis-11846	99	17	initial	initial	ADJ
fcis-11846	99	18	features	feature	NOUN
fcis-11846	99	19	.	.	PUNCT
fcis-11846	100	1	as	as	SCONJ
fcis-11846	100	2	the	the	DET
fcis-11846	100	3	training	training	NOUN
fcis-11846	100	4	continues	continue	VERB
fcis-11846	100	5	,	,	PUNCT
fcis-11846	100	6	the	the	DET
fcis-11846	100	7	model	model	NOUN
fcis-11846	100	8	optimizes	optimize	VERB
fcis-11846	100	9	further	far	ADV
fcis-11846	100	10	,	,	PUNCT
fcis-11846	100	11	and	and	CCONJ
fcis-11846	100	12	the	the	DET
fcis-11846	100	13	loss	loss	NOUN
fcis-11846	100	14	values	value	NOUN
fcis-11846	100	15	stabilize	stabilize	VERB
fcis-11846	100	16	at	at	ADP
fcis-11846	100	17	a	a	DET
fcis-11846	100	18	lower	low	ADJ
fcis-11846	100	19	level	level	NOUN
fcis-11846	100	20	,	,	PUNCT
fcis-11846	100	21	eventually	eventually	ADV
fcis-11846	100	22	reaching	reach	VERB
fcis-11846	100	23	around	around	ADP
fcis-11846	100	24	0.1	0.1	NUM
fcis-11846	100	25	.	.	PUNCT
fcis-11846	101	1	this	this	PRON
fcis-11846	101	2	indicates	indicate	VERB
fcis-11846	101	3	a	a	DET
fcis-11846	101	4	significant	significant	ADJ
fcis-11846	101	5	improvement	improvement	NOUN
fcis-11846	101	6	in	in	ADP
fcis-11846	101	7	the	the	DET
fcis-11846	101	8	reconstruction	reconstruction	NOUN
fcis-11846	101	9	performance	performance	NOUN
fcis-11846	101	10	of	of	ADP
fcis-11846	101	11	the	the	DET
fcis-11846	101	12	model	model	NOUN
fcis-11846	101	13	on	on	ADP
fcis-11846	101	14	the	the	DET
fcis-11846	101	15	training	training	NOUN
fcis-11846	101	16	data	datum	NOUN
fcis-11846	101	17	.	.	PUNCT
fcis-11846	102	1	at	at	ADP
fcis-11846	102	2	the	the	DET
fcis-11846	102	3	same	same	ADJ
fcis-11846	102	4	time	time	NOUN
fcis-11846	102	5	,	,	PUNCT
fcis-11846	102	6	the	the	DET
fcis-11846	102	7	psnr	psnr	NOUN
fcis-11846	102	8	metric	metric	ADJ
fcis-11846	102	9	experiences	experience	NOUN
fcis-11846	102	10	a	a	DET
fcis-11846	102	11	sharp	sharp	ADJ
fcis-11846	102	12	decline	decline	NOUN
fcis-11846	102	13	around	around	ADP
fcis-11846	102	14	2000	2000	NUM
fcis-11846	102	15	iterations	iteration	NOUN
fcis-11846	102	16	,	,	PUNCT
fcis-11846	102	17	decreasing	decrease	VERB
fcis-11846	102	18	from	from	ADP
fcis-11846	102	19	its	its	PRON
fcis-11846	102	20	initial	initial	ADJ
fcis-11846	102	21	value	value	NOUN
fcis-11846	102	22	to	to	ADP
fcis-11846	102	23	around	around	ADV
fcis-11846	102	24	22	22	NUM
fcis-11846	102	25	or	or	CCONJ
fcis-11846	102	26	lower	low	ADJ
fcis-11846	102	27	.	.	PUNCT
fcis-11846	103	1	this	this	DET
fcis-11846	103	2	phenomenon	phenomenon	NOUN
fcis-11846	103	3	may	may	AUX
fcis-11846	103	4	be	be	AUX
fcis-11846	103	5	caused	cause	VERB
fcis-11846	103	6	by	by	ADP
fcis-11846	103	7	overfitting	overfitte	VERB
fcis-11846	103	8	in	in	ADP
fcis-11846	103	9	the	the	DET
fcis-11846	103	10	early	early	ADJ
fcis-11846	103	11	stages	stage	NOUN
fcis-11846	103	12	of	of	ADP
fcis-11846	103	13	training	training	NOUN
fcis-11846	103	14	or	or	CCONJ
fcis-11846	103	15	encountering	encounter	VERB
fcis-11846	103	16	some	some	DET
fcis-11846	103	17	local	local	ADJ
fcis-11846	103	18	optima	optima	NOUN
fcis-11846	103	19	,	,	PUNCT
fcis-11846	103	20	leading	lead	VERB
fcis-11846	103	21	to	to	ADP
fcis-11846	103	22	a	a	DET
fcis-11846	103	23	degradation	degradation	NOUN
fcis-11846	103	24	in	in	ADP
fcis-11846	103	25	the	the	DET
fcis-11846	103	26	quality	quality	NOUN
fcis-11846	103	27	of	of	ADP
fcis-11846	103	28	reconstructed	reconstructed	ADJ
fcis-11846	103	29	images	image	NOUN
fcis-11846	103	30	.	.	PUNCT
fcis-11846	104	1	however	however	ADV
fcis-11846	104	2	,	,	PUNCT
fcis-11846	104	3	with	with	ADP
fcis-11846	104	4	continued	continue	VERB
fcis-11846	104	5	training	training	NOUN
fcis-11846	104	6	,	,	PUNCT
fcis-11846	104	7	the	the	DET
fcis-11846	104	8	model	model	NOUN
fcis-11846	104	9	gradually	gradually	ADV
fcis-11846	104	10	overcomes	overcome	VERB
fcis-11846	104	11	these	these	DET
fcis-11846	104	12	issues	issue	NOUN
fcis-11846	104	13	,	,	PUNCT
fcis-11846	104	14	and	and	CCONJ
fcis-11846	104	15	the	the	DET
fcis-11846	104	16	psnr	psnr	NOUN
fcis-11846	104	17	metric	metric	NOUN
fcis-11846	104	18	starts	start	VERB
fcis-11846	104	19	to	to	PART
fcis-11846	104	20	improve	improve	VERB
fcis-11846	104	21	,	,	PUNCT
fcis-11846	104	22	stabilizing	stabilize	VERB
fcis-11846	104	23	at	at	ADP
fcis-11846	104	24	around	around	ADV
fcis-11846	104	25	40	40	NUM
fcis-11846	104	26	.	.	PUNCT
fcis-11846	105	1	this	this	PRON
fcis-11846	105	2	signifies	signify	VERB
fcis-11846	105	3	that	that	SCONJ
fcis-11846	105	4	the	the	DET
fcis-11846	105	5	model	model	NOUN
fcis-11846	105	6	has	have	AUX
fcis-11846	105	7	made	make	VERB
fcis-11846	105	8	significant	significant	ADJ
fcis-11846	105	9	progress	progress	NOUN
fcis-11846	105	10	in	in	ADP
fcis-11846	105	11	the	the	DET
fcis-11846	105	12	super	super	ADJ
fcis-11846	105	13	-	-	ADJ
fcis-11846	105	14	resolution	resolution	ADJ
fcis-11846	105	15	task	task	NOUN
fcis-11846	105	16	and	and	CCONJ
fcis-11846	105	17	can	can	AUX
fcis-11846	105	18	generate	generate	VERB
fcis-11846	105	19	higher	high	ADJ
fcis-11846	105	20	-	-	PUNCT
fcis-11846	105	21	quality	quality	NOUN
fcis-11846	105	22	,	,	PUNCT
fcis-11846	105	23	clearer	clear	ADJ
fcis-11846	105	24	,	,	PUNCT
fcis-11846	105	25	and	and	CCONJ
fcis-11846	105	26	more	more	ADV
fcis-11846	105	27	detailed	detailed	ADJ
fcis-11846	105	28	images	image	NOUN
fcis-11846	105	29	.	.	PUNCT
fcis-11846	106	1	4.2	4.2	NUM
fcis-11846	106	2	.	.	PUNCT
fcis-11846	106	3	application	application	NOUN
fcis-11846	106	4	validation	validation	NOUN
fcis-11846	106	5	to	to	PART
fcis-11846	106	6	validate	validate	VERB
fcis-11846	106	7	the	the	DET
fcis-11846	106	8	performance	performance	NOUN
fcis-11846	106	9	of	of	ADP
fcis-11846	106	10	our	our	PRON
fcis-11846	106	11	model	model	NOUN
fcis-11846	106	12	in	in	ADP
fcis-11846	106	13	real	real	ADJ
fcis-11846	106	14	-	-	PUNCT
fcis-11846	106	15	world	world	NOUN
fcis-11846	106	16	applications	application	NOUN
fcis-11846	107	1	,	,	PUNCT
fcis-11846	107	2	we	we	PRON
fcis-11846	107	3	applied	apply	VERB
fcis-11846	107	4	the	the	DET
fcis-11846	107	5	trained	train	VERB
fcis-11846	107	6	swinir	swinir	NOUN
fcis-11846	107	7	model	model	NOUN
fcis-11846	107	8	for	for	ADP
fcis-11846	107	9	face	face	NOUN
fcis-11846	107	10	image	image	NOUN
fcis-11846	107	11	super	super	ADJ
fcis-11846	107	12	-	-	ADJ
fcis-11846	107	13	resolution	resolution	ADJ
fcis-11846	107	14	processing	processing	NOUN
fcis-11846	107	15	on	on	ADP
fcis-11846	107	16	widely	widely	ADV
fcis-11846	107	17	used	use	VERB
fcis-11846	107	18	devices	device	NOUN
fcis-11846	107	19	.	.	PUNCT
fcis-11846	108	1	the	the	DET
fcis-11846	108	2	experimental	experimental	ADJ
fcis-11846	108	3	results	result	NOUN
fcis-11846	108	4	demonstrate	demonstrate	VERB
fcis-11846	108	5	that	that	SCONJ
fcis-11846	108	6	our	our	PRON
fcis-11846	108	7	model	model	NOUN
fcis-11846	108	8	can	can	AUX
fcis-11846	108	9	effectively	effectively	ADV
fcis-11846	108	10	enhance	enhance	VERB
fcis-11846	108	11	facial	facial	ADJ
fcis-11846	108	12	image	image	NOUN
fcis-11846	108	13	features	feature	NOUN
fcis-11846	108	14	and	and	CCONJ
fcis-11846	108	15	provide	provide	VERB
fcis-11846	108	16	clearer	clear	ADJ
fcis-11846	108	17	and	and	CCONJ
fcis-11846	108	18	more	more	ADV
fcis-11846	108	19	detailed	detailed	ADJ
fcis-11846	108	20	images	image	NOUN
fcis-11846	108	21	,	,	PUNCT
fcis-11846	108	22	thereby	thereby	ADV
fcis-11846	108	23	offering	offer	VERB
fcis-11846	108	24	a	a	DET
fcis-11846	108	25	better	well	ADJ
fcis-11846	108	26	image	image	NOUN
fcis-11846	108	27	foundation	foundation	NOUN
fcis-11846	108	28	for	for	ADP
fcis-11846	108	29	applications	application	NOUN
fcis-11846	108	30	such	such	ADJ
fcis-11846	108	31	as	as	ADP
fcis-11846	108	32	eye	eye	NOUN
fcis-11846	108	33	-	-	PUNCT
fcis-11846	108	34	tracking	track	VERB
fcis-11846	108	35	technology	technology	NOUN
fcis-11846	108	36	and	and	CCONJ
fcis-11846	108	37	facial	facial	ADJ
fcis-11846	108	38	recognition	recognition	NOUN
fcis-11846	108	39	in	in	ADP
fcis-11846	108	40	various	various	ADJ
fcis-11846	108	41	domains	domain	NOUN
fcis-11846	108	42	.	.	PUNCT
fcis-11846	109	1	figure	figure	NOUN
fcis-11846	109	2	3	3	NUM
fcis-11846	109	3	.	.	PUNCT
fcis-11846	109	4	training	training	NOUN
fcis-11846	109	5	results	result	NOUN
fcis-11846	109	6	of	of	ADP
fcis-11846	109	7	the	the	DET
fcis-11846	109	8	model	model	NOUN
fcis-11846	109	9	(	(	PUNCT
fcis-11846	109	10	×2	×2	NOUN
fcis-11846	109	11	)	)	PUNCT
fcis-11846	109	12	overall	overall	ADV
fcis-11846	109	13	,	,	PUNCT
fcis-11846	109	14	the	the	DET
fcis-11846	109	15	swinir	swinir	NOUN
fcis-11846	109	16	model	model	NOUN
fcis-11846	109	17	trained	train	VERB
fcis-11846	109	18	through	through	ADP
fcis-11846	109	19	adversarial	adversarial	ADJ
fcis-11846	109	20	training	training	NOUN
fcis-11846	109	21	exhibits	exhibit	VERB
fcis-11846	109	22	superior	superior	ADJ
fcis-11846	109	23	performance	performance	NOUN
fcis-11846	109	24	in	in	ADP
fcis-11846	109	25	face	face	NOUN
fcis-11846	109	26	image	image	NOUN
fcis-11846	109	27	superresolution	superresolution	NOUN
fcis-11846	109	28	,	,	PUNCT
fcis-11846	109	29	showcasing	showcase	VERB
fcis-11846	109	30	robust	robust	ADJ
fcis-11846	109	31	generalization	generalization	NOUN
fcis-11846	109	32	capabilities	capability	NOUN
fcis-11846	109	33	and	and	CCONJ
fcis-11846	109	34	practical	practical	ADJ
fcis-11846	109	35	value	value	NOUN
fcis-11846	109	36	.	.	PUNCT
fcis-11846	110	1	its	its	PRON
fcis-11846	110	2	successful	successful	ADJ
fcis-11846	110	3	application	application	NOUN
fcis-11846	110	4	provides	provide	VERB
fcis-11846	110	5	novel	novel	ADJ
fcis-11846	110	6	ideas	idea	NOUN
fcis-11846	110	7	and	and	CCONJ
fcis-11846	110	8	methods	method	NOUN
fcis-11846	110	9	for	for	ADP
fcis-11846	110	10	the	the	DET
fcis-11846	110	11	advancement	advancement	NOUN
fcis-11846	110	12	and	and	CCONJ
fcis-11846	110	13	application	application	NOUN
fcis-11846	110	14	of	of	ADP
fcis-11846	110	15	image	image	NOUN
fcis-11846	110	16	super	super	ADJ
fcis-11846	110	17	-	-	ADJ
fcis-11846	110	18	resolution	resolution	ADJ
fcis-11846	110	19	techniques	technique	NOUN
fcis-11846	110	20	.	.	PUNCT
fcis-11846	111	1	5	5	X
fcis-11846	111	2	.	.	X
fcis-11846	111	3	conclusion	conclusion	NOUN
fcis-11846	111	4	based	base	VERB
fcis-11846	111	5	on	on	ADP
fcis-11846	111	6	the	the	DET
fcis-11846	111	7	results	result	NOUN
fcis-11846	111	8	of	of	ADP
fcis-11846	111	9	this	this	DET
fcis-11846	111	10	experiment	experiment	NOUN
fcis-11846	111	11	,	,	PUNCT
fcis-11846	111	12	we	we	PRON
fcis-11846	111	13	have	have	AUX
fcis-11846	111	14	successfully	successfully	ADV
fcis-11846	111	15	transformed	transform	VERB
fcis-11846	111	16	low	low	ADJ
fcis-11846	111	17	-	-	PUNCT
fcis-11846	111	18	resolution	resolution	NOUN
fcis-11846	111	19	facial	facial	ADJ
fcis-11846	111	20	images	image	NOUN
fcis-11846	111	21	into	into	ADP
fcis-11846	111	22	high	high	ADJ
fcis-11846	111	23	-	-	PUNCT
fcis-11846	111	24	resolution	resolution	NOUN
fcis-11846	111	25	images	image	NOUN
fcis-11846	111	26	while	while	SCONJ
fcis-11846	111	27	preserving	preserve	VERB
fcis-11846	111	28	crucial	crucial	ADJ
fcis-11846	111	29	details	detail	NOUN
fcis-11846	111	30	,	,	PUNCT
fcis-11846	111	31	significantly	significantly	ADV
fcis-11846	111	32	enhancing	enhance	VERB
fcis-11846	111	33	image	image	NOUN
fcis-11846	111	34	clarity	clarity	NOUN
fcis-11846	111	35	and	and	CCONJ
fcis-11846	111	36	quality	quality	NOUN
fcis-11846	111	37	.	.	PUNCT
fcis-11846	112	1	this	this	DET
fcis-11846	112	2	achievement	achievement	NOUN
fcis-11846	112	3	provides	provide	VERB
fcis-11846	112	4	vital	vital	ADJ
fcis-11846	112	5	support	support	NOUN
fcis-11846	112	6	and	and	CCONJ
fcis-11846	112	7	assistance	assistance	NOUN
fcis-11846	112	8	for	for	ADP
fcis-11846	112	9	implementing	implement	VERB
fcis-11846	112	10	eye	eye	NOUN
fcis-11846	112	11	-	-	PUNCT
fcis-11846	112	12	tracking	track	VERB
fcis-11846	112	13	technology	technology	NOUN
fcis-11846	112	14	on	on	ADP
fcis-11846	112	15	widely	widely	ADV
fcis-11846	112	16	-	-	PUNCT
fcis-11846	112	17	used	use	VERB
fcis-11846	112	18	devices	device	NOUN
fcis-11846	112	19	.	.	PUNCT
fcis-11846	113	1	however	however	ADV
fcis-11846	113	2	,	,	PUNCT
fcis-11846	113	3	it	it	PRON
fcis-11846	113	4	is	be	AUX
fcis-11846	113	5	essential	essential	ADJ
fcis-11846	113	6	to	to	PART
fcis-11846	113	7	acknowledge	acknowledge	VERB
fcis-11846	113	8	certain	certain	ADJ
fcis-11846	113	9	limitations	limitation	NOUN
fcis-11846	113	10	in	in	ADP
fcis-11846	113	11	this	this	DET
fcis-11846	113	12	experiment	experiment	NOUN
fcis-11846	113	13	.	.	PUNCT
fcis-11846	114	1	we	we	PRON
fcis-11846	114	2	only	only	ADV
fcis-11846	114	3	focused	focus	VERB
fcis-11846	114	4	on	on	ADP
fcis-11846	114	5	×2	×2	PROPN
fcis-11846	114	6	image	image	NOUN
fcis-11846	114	7	superresolution	superresolution	NOUN
fcis-11846	114	8	conversion	conversion	NOUN
fcis-11846	114	9	,	,	PUNCT
fcis-11846	114	10	which	which	PRON
fcis-11846	114	11	implies	imply	VERB
fcis-11846	114	12	some	some	DET
fcis-11846	114	13	constraints	constraint	NOUN
fcis-11846	114	14	in	in	ADP
fcis-11846	114	15	practical	practical	ADJ
fcis-11846	114	16	applications	application	NOUN
fcis-11846	114	17	.	.	PUNCT
fcis-11846	115	1	in	in	ADP
fcis-11846	115	2	more	more	ADV
fcis-11846	115	3	challenging	challenging	ADJ
fcis-11846	115	4	tasks	task	NOUN
fcis-11846	115	5	with	with	ADP
fcis-11846	115	6	higher	high	ADJ
fcis-11846	115	7	scaling	scaling	NOUN
fcis-11846	115	8	factors	factor	NOUN
fcis-11846	115	9	,	,	PUNCT
fcis-11846	115	10	our	our	PRON
fcis-11846	115	11	model	model	NOUN
fcis-11846	115	12	might	might	AUX
fcis-11846	115	13	encounter	encounter	VERB
fcis-11846	115	14	greater	great	ADJ
fcis-11846	115	15	difficulties	difficulty	NOUN
fcis-11846	115	16	and	and	CCONJ
fcis-11846	115	17	potential	potential	ADJ
fcis-11846	115	18	performance	performance	NOUN
fcis-11846	115	19	degradation	degradation	NOUN
fcis-11846	115	20	.	.	PUNCT
fcis-11846	116	1	to	to	PART
fcis-11846	116	2	enhance	enhance	VERB
fcis-11846	116	3	the	the	DET
fcis-11846	116	4	model	model	NOUN
fcis-11846	116	5	's	's	PART
fcis-11846	116	6	generalization	generalization	NOUN
fcis-11846	116	7	capabilities	capability	NOUN
fcis-11846	116	8	and	and	CCONJ
fcis-11846	116	9	applicability	applicability	NOUN
fcis-11846	116	10	further	far	ADV
fcis-11846	116	11	,	,	PUNCT
fcis-11846	116	12	future	future	ADJ
fcis-11846	116	13	research	research	NOUN
fcis-11846	116	14	can	can	AUX
fcis-11846	116	15	explore	explore	VERB
fcis-11846	116	16	more	more	ADJ
fcis-11846	116	17	in	in	ADP
fcis-11846	116	18	-	-	PUNCT
fcis-11846	116	19	depth	depth	NOUN
fcis-11846	116	20	into	into	ADP
fcis-11846	116	21	×4	×4	NOUN
fcis-11846	116	22	,	,	PUNCT
fcis-11846	116	23	×8	×8	ADJ
fcis-11846	116	24	,	,	PUNCT
fcis-11846	116	25	and	and	CCONJ
fcis-11846	116	26	other	other	ADJ
fcis-11846	116	27	higher	high	ADJ
fcis-11846	116	28	scaling	scaling	NOUN
fcis-11846	116	29	factors	factor	NOUN
fcis-11846	116	30	for	for	ADP
fcis-11846	116	31	image	image	NOUN
fcis-11846	116	32	super	super	ADJ
fcis-11846	116	33	-	-	ADJ
fcis-11846	116	34	resolution	resolution	ADJ
fcis-11846	116	35	conversion	conversion	NOUN
fcis-11846	116	36	.	.	PUNCT
fcis-11846	117	1	nevertheless	nevertheless	ADV
fcis-11846	117	2	,	,	PUNCT
fcis-11846	117	3	within	within	ADP
fcis-11846	117	4	the	the	DET
fcis-11846	117	5	same	same	ADJ
fcis-11846	117	6	specification	specification	NOUN
fcis-11846	117	7	of	of	ADP
fcis-11846	117	8	image	image	NOUN
fcis-11846	117	9	superresolution	superresolution	NOUN
fcis-11846	117	10	conversion	conversion	NOUN
fcis-11846	117	11	,	,	PUNCT
fcis-11846	117	12	our	our	PRON
fcis-11846	117	13	model	model	NOUN
fcis-11846	117	14	demonstrated	demonstrate	VERB
fcis-11846	117	15	remarkable	remarkable	ADJ
fcis-11846	117	16	results	result	NOUN
fcis-11846	117	17	.	.	PUNCT
fcis-11846	118	1	by	by	ADP
fcis-11846	118	2	reconstructing	reconstruct	VERB
fcis-11846	118	3	low	low	ADJ
fcis-11846	118	4	-	-	PUNCT
fcis-11846	118	5	resolution	resolution	NOUN
fcis-11846	118	6	images	image	NOUN
fcis-11846	118	7	with	with	ADP
fcis-11846	118	8	high	high	ADJ
fcis-11846	118	9	quality	quality	NOUN
fcis-11846	118	10	,	,	PUNCT
fcis-11846	118	11	we	we	PRON
fcis-11846	118	12	provide	provide	VERB
fcis-11846	118	13	robust	robust	ADJ
fcis-11846	118	14	image	image	NOUN
fcis-11846	118	15	foundations	foundation	NOUN
fcis-11846	118	16	for	for	ADP
fcis-11846	118	17	widely	widely	ADV
fcis-11846	118	18	-	-	PUNCT
fcis-11846	118	19	used	use	VERB
fcis-11846	118	20	devices	device	NOUN
fcis-11846	118	21	,	,	PUNCT
fcis-11846	118	22	improving	improve	VERB
fcis-11846	118	23	image	image	NOUN
fcis-11846	118	24	processing	processing	NOUN
fcis-11846	118	25	capabilities	capability	NOUN
fcis-11846	118	26	and	and	CCONJ
fcis-11846	118	27	performance	performance	NOUN
fcis-11846	118	28	for	for	ADP
fcis-11846	118	29	applications	application	NOUN
fcis-11846	118	30	like	like	ADP
fcis-11846	118	31	eye	eye	NOUN
fcis-11846	118	32	-	-	PUNCT
fcis-11846	118	33	tracking	track	VERB
fcis-11846	118	34	technology	technology	NOUN
fcis-11846	118	35	.	.	PUNCT
fcis-11846	119	1	in	in	ADP
fcis-11846	119	2	conclusion	conclusion	NOUN
fcis-11846	119	3	,	,	PUNCT
fcis-11846	119	4	this	this	DET
fcis-11846	119	5	experiment	experiment	NOUN
fcis-11846	119	6	contributes	contribute	VERB
fcis-11846	119	7	valuable	valuable	ADJ
fcis-11846	119	8	insights	insight	NOUN
fcis-11846	119	9	and	and	CCONJ
fcis-11846	119	10	practices	practice	NOUN
fcis-11846	119	11	to	to	PART
fcis-11846	119	12	image	image	VERB
fcis-11846	119	13	super	super	ADJ
fcis-11846	119	14	-	-	ADJ
fcis-11846	119	15	resolution	resolution	ADJ
fcis-11846	119	16	processing	processing	NOUN
fcis-11846	119	17	while	while	SCONJ
fcis-11846	119	18	uncovering	uncover	VERB
fcis-11846	119	19	potential	potential	ADJ
fcis-11846	119	20	research	research	NOUN
fcis-11846	119	21	directions	direction	NOUN
fcis-11846	119	22	.	.	PUNCT
fcis-11846	120	1	we	we	PRON
fcis-11846	120	2	believe	believe	VERB
fcis-11846	120	3	that	that	SCONJ
fcis-11846	120	4	through	through	ADP
fcis-11846	120	5	further	further	ADJ
fcis-11846	120	6	optimization	optimization	NOUN
fcis-11846	120	7	and	and	CCONJ
fcis-11846	120	8	improvement	improvement	NOUN
fcis-11846	120	9	of	of	ADP
fcis-11846	120	10	the	the	DET
fcis-11846	120	11	model	model	NOUN
fcis-11846	120	12	,	,	PUNCT
fcis-11846	120	13	we	we	PRON
fcis-11846	120	14	can	can	AUX
fcis-11846	120	15	achieve	achieve	VERB
fcis-11846	120	16	even	even	ADV
fcis-11846	120	17	better	well	ADJ
fcis-11846	120	18	results	result	NOUN
fcis-11846	120	19	in	in	ADP
fcis-11846	120	20	tasks	task	NOUN
fcis-11846	120	21	with	with	ADP
fcis-11846	120	22	higher	high	ADJ
fcis-11846	120	23	scaling	scaling	NOUN
fcis-11846	120	24	factors	factor	NOUN
fcis-11846	120	25	,	,	PUNCT
fcis-11846	120	26	providing	provide	VERB
fcis-11846	120	27	reliable	reliable	ADJ
fcis-11846	120	28	and	and	CCONJ
fcis-11846	120	29	efficient	efficient	ADJ
fcis-11846	120	30	solutions	solution	NOUN
fcis-11846	120	31	for	for	ADP
fcis-11846	120	32	eyetracking	eyetracking	NOUN
fcis-11846	120	33	and	and	CCONJ
fcis-11846	120	34	other	other	ADJ
fcis-11846	120	35	image	image	NOUN
fcis-11846	120	36	processing	processing	NOUN
fcis-11846	120	37	tasks	task	NOUN
fcis-11846	120	38	in	in	ADP
fcis-11846	120	39	practical	practical	ADJ
fcis-11846	120	40	applications	application	NOUN
fcis-11846	120	41	.	.	PUNCT
fcis-11846	121	1	references	reference	NOUN
fcis-11846	121	2	[	[	X
fcis-11846	121	3	1	1	NUM
fcis-11846	121	4	]	]	SYM
fcis-11846	121	5	yang	yang	PROPN
fcis-11846	121	6	,	,	PUNCT
fcis-11846	121	7	w.	w.	PROPN
fcis-11846	121	8	,	,	PUNCT
fcis-11846	121	9	zhou	zhou	PROPN
fcis-11846	121	10	,	,	PUNCT
fcis-11846	121	11	f.	f.	PROPN
fcis-11846	121	12	,	,	PUNCT
fcis-11846	121	13	zhu	zhu	PROPN
fcis-11846	121	14	,	,	PUNCT
fcis-11846	121	15	r.	r.	PROPN
fcis-11846	121	16	,	,	PUNCT
fcis-11846	121	17	fukui	fukui	PROPN
fcis-11846	121	18	,	,	PUNCT
fcis-11846	121	19	k.	k.	PROPN
fcis-11846	121	20	,	,	PUNCT
fcis-11846	121	21	wang	wang	PROPN
fcis-11846	121	22	,	,	PUNCT
fcis-11846	121	23	g.	g.	PROPN
fcis-11846	121	24	,	,	PUNCT
fcis-11846	121	25	&	&	CCONJ
fcis-11846	121	26	xue	xue	PROPN
fcis-11846	121	27	,	,	PUNCT
fcis-11846	121	28	j.	j.	PROPN
fcis-11846	121	29	h.	h.	PROPN
fcis-11846	121	30	(	(	PUNCT
fcis-11846	121	31	2019	2019	NUM
fcis-11846	121	32	)	)	PUNCT
fcis-11846	121	33	.	.	PUNCT
fcis-11846	122	1	deep	deep	ADJ
fcis-11846	122	2	learning	learning	NOUN
fcis-11846	122	3	for	for	ADP
fcis-11846	122	4	image	image	NOUN
fcis-11846	122	5	super	super	NOUN
fcis-11846	122	6	-	-	NOUN
fcis-11846	122	7	resolution	resolution	NOUN
fcis-11846	122	8	.	.	PUNCT
fcis-11846	123	1	neurocomputing	neurocompute	VERB
fcis-11846	123	2	.	.	PUNCT
fcis-11846	124	1	[	[	X
fcis-11846	124	2	2	2	NUM
fcis-11846	124	3	]	]	SYM
fcis-11846	124	4	yang	yang	PROPN
fcis-11846	124	5	,	,	PUNCT
fcis-11846	124	6	j.	j.	PROPN
fcis-11846	124	7	,	,	PUNCT
fcis-11846	124	8	wright	wright	PROPN
fcis-11846	124	9	,	,	PUNCT
fcis-11846	124	10	j.	j.	PROPN
fcis-11846	124	11	,	,	PUNCT
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fcis-11846	124	13	,	,	PUNCT
fcis-11846	124	14	t.	t.	PROPN
fcis-11846	124	15	s.	s.	PROPN
fcis-11846	124	16	,	,	PUNCT
fcis-11846	124	17	&	&	CCONJ
fcis-11846	124	18	ma	ma	PROPN
fcis-11846	124	19	,	,	PUNCT
fcis-11846	124	20	y.	y.	PROPN
fcis-11846	124	21	(	(	PUNCT
fcis-11846	124	22	2010	2010	NUM
fcis-11846	124	23	)	)	PUNCT
fcis-11846	124	24	.	.	PUNCT
fcis-11846	125	1	image	image	NOUN
fcis-11846	125	2	super	super	NOUN
fcis-11846	125	3	-	-	NOUN
fcis-11846	125	4	resolution	resolution	NOUN
fcis-11846	125	5	via	via	ADP
fcis-11846	125	6	sparse	sparse	ADJ
fcis-11846	125	7	representation	representation	NOUN
fcis-11846	125	8	.	.	PUNCT
fcis-11846	126	1	ieee	ieee	NOUN
fcis-11846	126	2	transactions	transaction	NOUN
fcis-11846	126	3	on	on	ADP
fcis-11846	126	4	image	image	NOUN
fcis-11846	126	5	processing	processing	NOUN
fcis-11846	126	6	,	,	PUNCT
fcis-11846	126	7	19(11	19(11	NUM
fcis-11846	126	8	)	)	PUNCT
fcis-11846	126	9	,	,	PUNCT
fcis-11846	126	10	2861	2861	NUM
fcis-11846	126	11	-	-	SYM
fcis-11846	126	12	2873	2873	NUM
fcis-11846	126	13	.	.	PUNCT
fcis-11846	127	1	[	[	X
fcis-11846	127	2	3	3	NUM
fcis-11846	127	3	]	]	X
fcis-11846	127	4	dong	dong	PROPN
fcis-11846	127	5	,	,	PUNCT
fcis-11846	127	6	c.	c.	PROPN
fcis-11846	127	7	,	,	PUNCT
fcis-11846	127	8	loy	loy	PROPN
fcis-11846	127	9	,	,	PUNCT
fcis-11846	127	10	c.	c.	PROPN
fcis-11846	127	11	c.	c.	PROPN
fcis-11846	127	12	,	,	PUNCT
fcis-11846	127	13	he	he	PRON
fcis-11846	127	14	,	,	PUNCT
fcis-11846	127	15	k.	k.	PROPN
fcis-11846	127	16	,	,	PUNCT
fcis-11846	127	17	&	&	CCONJ
fcis-11846	127	18	tang	tang	PROPN
fcis-11846	127	19	,	,	PUNCT
fcis-11846	127	20	x.	x.	NOUN
fcis-11846	127	21	(	(	PUNCT
fcis-11846	127	22	2015	2015	NUM
fcis-11846	127	23	)	)	PUNCT
fcis-11846	127	24	.	.	PUNCT
fcis-11846	128	1	image	image	NOUN
fcis-11846	128	2	superresolution	superresolution	NOUN
fcis-11846	128	3	using	use	VERB
fcis-11846	128	4	deep	deep	ADJ
fcis-11846	128	5	convolutional	convolutional	ADJ
fcis-11846	128	6	networks	network	NOUN
fcis-11846	128	7	.	.	PUNCT
fcis-11846	129	1	ieee	ieee	NOUN
fcis-11846	129	2	transactions	transaction	NOUN
fcis-11846	129	3	on	on	ADP
fcis-11846	129	4	pattern	pattern	NOUN
fcis-11846	129	5	analysis	analysis	NOUN
fcis-11846	129	6	and	and	CCONJ
fcis-11846	129	7	machine	machine	NOUN
fcis-11846	129	8	intelligence	intelligence	NOUN
fcis-11846	129	9	,	,	PUNCT
fcis-11846	129	10	38(2	38(2	NOUN
fcis-11846	129	11	)	)	PUNCT
fcis-11846	129	12	,	,	PUNCT
fcis-11846	129	13	295	295	NUM
fcis-11846	129	14	-	-	SYM
fcis-11846	129	15	307	307	NUM
fcis-11846	129	16	.	.	PUNCT
fcis-11846	130	1	[	[	X
fcis-11846	130	2	4	4	NUM
fcis-11846	130	3	]	]	X
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fcis-11846	130	5	,	,	PUNCT
fcis-11846	130	6	k.	k.	PROPN
fcis-11846	130	7	,	,	PUNCT
fcis-11846	130	8	nyström	nyström	ADV
fcis-11846	130	9	,	,	PUNCT
fcis-11846	130	10	m.	m.	NOUN
fcis-11846	130	11	,	,	PUNCT
fcis-11846	130	12	andersson	andersson	PROPN
fcis-11846	130	13	,	,	PUNCT
fcis-11846	130	14	r.	r.	PROPN
fcis-11846	130	15	,	,	PUNCT
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fcis-11846	130	17	,	,	PUNCT
fcis-11846	130	18	r.	r.	PROPN
fcis-11846	130	19	,	,	PUNCT
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fcis-11846	130	21	,	,	PUNCT
fcis-11846	130	22	h.	h.	PROPN
fcis-11846	130	23	,	,	PUNCT
fcis-11846	130	24	&	&	CCONJ
fcis-11846	130	25	van	van	PROPN
fcis-11846	130	26	de	de	PROPN
fcis-11846	130	27	weijer	weijer	PROPN
fcis-11846	130	28	,	,	PUNCT
fcis-11846	130	29	j.	j.	PROPN
fcis-11846	130	30	(	(	PUNCT
fcis-11846	130	31	2011	2011	NUM
fcis-11846	130	32	)	)	PUNCT
fcis-11846	130	33	.	.	PUNCT
fcis-11846	131	1	eye	eye	NOUN
fcis-11846	131	2	tracking	tracking	NOUN
fcis-11846	131	3	:	:	PUNCT
fcis-11846	131	4	a	a	DET
fcis-11846	131	5	comprehensive	comprehensive	ADJ
fcis-11846	131	6	guide	guide	NOUN
fcis-11846	131	7	to	to	ADP
fcis-11846	131	8	methods	method	NOUN
fcis-11846	131	9	and	and	CCONJ
fcis-11846	131	10	measures	measure	NOUN
fcis-11846	131	11	.	.	PUNCT
fcis-11846	132	1	oup	oup	NOUN
fcis-11846	132	2	oxford	oxford	NOUN
fcis-11846	132	3	.	.	PUNCT
fcis-11846	133	1	[	[	X
fcis-11846	133	2	5	5	NUM
fcis-11846	133	3	]	]	X
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fcis-11846	133	5	,	,	PUNCT
fcis-11846	133	6	k.	k.	PROPN
fcis-11846	133	7	,	,	PUNCT
fcis-11846	133	8	&	&	CCONJ
fcis-11846	133	9	kasprowski	kasprowski	PROPN
fcis-11846	133	10	,	,	PUNCT
fcis-11846	133	11	p.	p.	NOUN
fcis-11846	133	12	(	(	PUNCT
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fcis-11846	133	14	)	)	PUNCT
fcis-11846	133	15	.	.	PUNCT
fcis-11846	134	1	application	application	NOUN
fcis-11846	134	2	of	of	ADP
fcis-11846	134	3	eye	eye	NOUN
fcis-11846	134	4	tracking	tracking	NOUN
fcis-11846	134	5	in	in	ADP
fcis-11846	134	6	medicine	medicine	NOUN
fcis-11846	134	7	:	:	PUNCT
fcis-11846	134	8	a	a	DET
fcis-11846	134	9	survey	survey	NOUN
fcis-11846	134	10	,	,	PUNCT
fcis-11846	134	11	research	research	NOUN
fcis-11846	134	12	issues	issue	NOUN
fcis-11846	134	13	and	and	CCONJ
fcis-11846	134	14	challenges	challenge	NOUN
fcis-11846	134	15	.	.	PUNCT
fcis-11846	135	1	computerized	computerized	ADJ
fcis-11846	135	2	medical	medical	ADJ
fcis-11846	135	3	imaging	imaging	NOUN
fcis-11846	135	4	and	and	CCONJ
fcis-11846	135	5	graphics	graphic	NOUN
fcis-11846	135	6	,	,	PUNCT
fcis-11846	135	7	65	65	NUM
fcis-11846	135	8	,	,	PUNCT
fcis-11846	135	9	176	176	NUM
fcis-11846	135	10	-	-	SYM
fcis-11846	135	11	190	190	NUM
fcis-11846	135	12	.	.	PUNCT
fcis-11846	136	1	[	[	X
fcis-11846	136	2	6	6	NUM
fcis-11846	136	3	]	]	X
fcis-11846	136	4	liang	liang	PROPN
fcis-11846	136	5	,	,	PUNCT
fcis-11846	136	6	j.	j.	PROPN
fcis-11846	136	7	,	,	PUNCT
fcis-11846	136	8	cao	cao	PROPN
fcis-11846	136	9	,	,	PUNCT
fcis-11846	136	10	j.	j.	PROPN
fcis-11846	136	11	,	,	PUNCT
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fcis-11846	136	13	,	,	PUNCT
fcis-11846	136	14	g.	g.	PROPN
fcis-11846	136	15	,	,	PUNCT
fcis-11846	136	16	zhang	zhang	PROPN
fcis-11846	136	17	,	,	PUNCT
fcis-11846	136	18	k.	k.	PROPN
fcis-11846	136	19	,	,	PUNCT
fcis-11846	136	20	van	van	PROPN
fcis-11846	136	21	gool	gool	PROPN
fcis-11846	136	22	,	,	PUNCT
fcis-11846	136	23	l.	l.	PROPN
fcis-11846	136	24	,	,	PUNCT
fcis-11846	136	25	&	&	CCONJ
fcis-11846	136	26	timofte	timofte	PROPN
fcis-11846	136	27	,	,	PUNCT
fcis-11846	136	28	r.	r.	PROPN
fcis-11846	136	29	(	(	PUNCT
fcis-11846	136	30	2021	2021	NUM
fcis-11846	136	31	)	)	PUNCT
fcis-11846	136	32	.	.	PUNCT
fcis-11846	137	1	swinir	swinir	NOUN
fcis-11846	137	2	:	:	PUNCT
fcis-11846	137	3	image	image	NOUN
fcis-11846	137	4	restoration	restoration	NOUN
fcis-11846	137	5	using	use	VERB
fcis-11846	137	6	swin	swin	PROPN
fcis-11846	137	7	transformer	transformer	PROPN
fcis-11846	137	8	.	.	PUNCT
fcis-11846	138	1	in	in	ADP
fcis-11846	138	2	proceedings	proceeding	NOUN
fcis-11846	138	3	of	of	ADP
fcis-11846	138	4	the	the	DET
fcis-11846	138	5	ieee	ieee	NOUN
fcis-11846	138	6	/	/	SYM
fcis-11846	138	7	cvf	cvf	NOUN
fcis-11846	138	8	international	international	ADJ
fcis-11846	138	9	conference	conference	NOUN
fcis-11846	138	10	on	on	ADP
fcis-11846	138	11	computer	computer	NOUN
fcis-11846	138	12	vision	vision	NOUN
fcis-11846	138	13	(	(	PUNCT
fcis-11846	138	14	pp	pp	ADJ
fcis-11846	138	15	.	.	PUNCT
fcis-11846	139	1	1833	1833	NUM
fcis-11846	139	2	-	-	SYM
fcis-11846	139	3	1844	1844	NUM
fcis-11846	139	4	)	)	PUNCT
fcis-11846	139	5	.	.	PUNCT
fcis-11846	140	1	[	[	X
fcis-11846	140	2	7	7	NUM
fcis-11846	140	3	]	]	X
fcis-11846	140	4	gulrajani	gulrajani	NOUN
fcis-11846	140	5	,	,	PUNCT
fcis-11846	140	6	i.	i.	PROPN
fcis-11846	140	7	,	,	PUNCT
fcis-11846	140	8	ahmed	ahmed	PROPN
fcis-11846	140	9	,	,	PUNCT
fcis-11846	140	10	f.	f.	PROPN
fcis-11846	140	11	,	,	PUNCT
fcis-11846	140	12	arjovsky	arjovsky	PROPN
fcis-11846	140	13	,	,	PUNCT
fcis-11846	140	14	m.	m.	NOUN
fcis-11846	140	15	,	,	PUNCT
fcis-11846	140	16	dumoulin	dumoulin	PROPN
fcis-11846	140	17	,	,	PUNCT
fcis-11846	140	18	v.	v.	ADV
fcis-11846	140	19	,	,	PUNCT
fcis-11846	140	20	&	&	CCONJ
fcis-11846	140	21	courville	courville	PROPN
fcis-11846	140	22	,	,	PUNCT
fcis-11846	140	23	a.	a.	PROPN
fcis-11846	140	24	c.	c.	PROPN
fcis-11846	140	25	(	(	PUNCT
fcis-11846	140	26	2017	2017	NUM
fcis-11846	140	27	)	)	PUNCT
fcis-11846	140	28	.	.	PUNCT
fcis-11846	141	1	improved	improved	ADJ
fcis-11846	141	2	training	training	NOUN
fcis-11846	141	3	of	of	ADP
fcis-11846	141	4	wasserstein	wasserstein	NOUN
fcis-11846	141	5	gans	gans	PROPN
fcis-11846	141	6	.	.	PUNCT
fcis-11846	142	1	advances	advance	NOUN
fcis-11846	142	2	in	in	ADP
fcis-11846	142	3	neural	neural	ADJ
fcis-11846	142	4	information	information	NOUN
fcis-11846	142	5	processing	processing	NOUN
fcis-11846	142	6	systems	system	NOUN
fcis-11846	142	7	,	,	PUNCT
fcis-11846	142	8	30	30	NUM
fcis-11846	142	9	.	.	PUNCT