id	sid	tid	token	lemma	pos
fcis-2022	1	1	frontiers	frontier	NOUN
fcis-2022	1	2	in	in	ADP
fcis-2022	1	3	computing	computing	NOUN
fcis-2022	1	4	and	and	CCONJ
fcis-2022	1	5	intelligent	intelligent	ADJ
fcis-2022	1	6	systems	system	NOUN
fcis-2022	1	7	issn	issn	VERB
fcis-2022	1	8	:	:	PUNCT
fcis-2022	1	9	2832	2832	NUM
fcis-2022	1	10	-	-	SYM
fcis-2022	1	11	6024	6024	NUM
fcis-2022	1	12	|	|	NOUN
fcis-2022	1	13	vol	vol	NOUN
fcis-2022	1	14	.	.	PROPN
fcis-2022	2	1	1	1	NUM
fcis-2022	2	2	,	,	PUNCT
fcis-2022	2	3	no	no	INTJ
fcis-2022	2	4	.	.	NOUN
fcis-2022	2	5	3	3	NUM
fcis-2022	2	6	,	,	PUNCT
fcis-2022	2	7	2022	2022	NUM
fcis-2022	2	8	25	25	NUM
fcis-2022	2	9	low	low	ADJ
fcis-2022	2	10	-	-	PUNCT
fcis-2022	2	11	light	light	NOUN
fcis-2022	2	12	image	image	NOUN
fcis-2022	2	13	enhancement	enhancement	NOUN
fcis-2022	2	14	with	with	ADP
fcis-2022	2	15	contrast	contrast	NOUN
fcis-2022	2	16	regularization	regularization	NOUN
fcis-2022	2	17	jinfeng	jinfeng	PROPN
fcis-2022	2	18	li	li	PROPN
fcis-2022	2	19	*	*	PROPN
fcis-2022	2	20	college	college	PROPN
fcis-2022	2	21	of	of	ADP
fcis-2022	2	22	computer	computer	NOUN
fcis-2022	2	23	science	science	PROPN
fcis-2022	2	24	&	&	CCONJ
fcis-2022	2	25	technology	technology	PROPN
fcis-2022	2	26	,	,	PUNCT
fcis-2022	2	27	qingdao	qingdao	PROPN
fcis-2022	2	28	university	university	PROPN
fcis-2022	2	29	,	,	PUNCT
fcis-2022	2	30	qingdao	qingdao	PROPN
fcis-2022	2	31	266071	266071	NUM
fcis-2022	2	32	,	,	PUNCT
fcis-2022	2	33	shandong	shandong	PROPN
fcis-2022	2	34	,	,	PUNCT
fcis-2022	2	35	china	china	PROPN
fcis-2022	2	36	.	.	PUNCT
fcis-2022	3	1	*	*	PUNCT
fcis-2022	3	2	corresponding	correspond	VERB
fcis-2022	3	3	author	author	NOUN
fcis-2022	3	4	:	:	PUNCT
fcis-2022	3	5	email	email	NOUN
fcis-2022	3	6	:	:	PUNCT
fcis-2022	4	1	yasuierba@163.com	yasuierba@163.com	PROPN
fcis-2022	4	2	.	.	PUNCT
fcis-2022	4	3	abstract	abstract	PROPN
fcis-2022	4	4	:	:	PUNCT
fcis-2022	4	5	because	because	SCONJ
fcis-2022	4	6	the	the	DET
fcis-2022	4	7	processing	processing	NOUN
fcis-2022	4	8	of	of	ADP
fcis-2022	4	9	existing	exist	VERB
fcis-2022	4	10	low	low	ADJ
fcis-2022	4	11	-	-	PUNCT
fcis-2022	4	12	light	light	NOUN
fcis-2022	4	13	images	image	NOUN
fcis-2022	4	14	undergoes	undergo	VERB
fcis-2022	4	15	multiple	multiple	ADJ
fcis-2022	4	16	sampling	sample	VERB
fcis-2022	4	17	processing	processing	NOUN
fcis-2022	4	18	,	,	PUNCT
fcis-2022	4	19	there	there	PRON
fcis-2022	4	20	is	be	VERB
fcis-2022	4	21	serious	serious	ADJ
fcis-2022	4	22	information	information	NOUN
fcis-2022	4	23	degradation	degradation	NOUN
fcis-2022	4	24	,	,	PUNCT
fcis-2022	4	25	and	and	CCONJ
fcis-2022	4	26	only	only	ADV
fcis-2022	4	27	clear	clear	ADJ
fcis-2022	4	28	images	image	NOUN
fcis-2022	4	29	are	be	AUX
fcis-2022	4	30	used	use	VERB
fcis-2022	4	31	as	as	ADP
fcis-2022	4	32	positive	positive	ADJ
fcis-2022	4	33	samples	sample	NOUN
fcis-2022	4	34	to	to	PART
fcis-2022	4	35	guide	guide	VERB
fcis-2022	4	36	network	network	NOUN
fcis-2022	4	37	training	training	NOUN
fcis-2022	4	38	,	,	PUNCT
fcis-2022	4	39	low	low	ADJ
fcis-2022	4	40	-	-	PUNCT
fcis-2022	4	41	light	light	NOUN
fcis-2022	4	42	image	image	NOUN
fcis-2022	4	43	enhancement	enhancement	NOUN
fcis-2022	4	44	processing	processing	NOUN
fcis-2022	4	45	is	be	AUX
fcis-2022	4	46	still	still	ADV
fcis-2022	4	47	a	a	DET
fcis-2022	4	48	challenging	challenging	ADJ
fcis-2022	4	49	and	and	CCONJ
fcis-2022	4	50	unsettled	unsettled	ADJ
fcis-2022	4	51	problem	problem	NOUN
fcis-2022	4	52	.	.	PUNCT
fcis-2022	5	1	therefore	therefore	ADV
fcis-2022	5	2	,	,	PUNCT
fcis-2022	5	3	a	a	DET
fcis-2022	5	4	multi	multi	ADJ
fcis-2022	5	5	-	-	ADJ
fcis-2022	5	6	scale	scale	ADJ
fcis-2022	5	7	contrast	contrast	NOUN
fcis-2022	5	8	learning	learn	VERB
fcis-2022	5	9	low	low	ADJ
fcis-2022	5	10	-	-	PUNCT
fcis-2022	5	11	light	light	NOUN
fcis-2022	5	12	image	image	NOUN
fcis-2022	5	13	enhancement	enhancement	NOUN
fcis-2022	5	14	network	network	NOUN
fcis-2022	5	15	is	be	AUX
fcis-2022	5	16	proposed	propose	VERB
fcis-2022	5	17	.	.	PUNCT
fcis-2022	6	1	first	first	ADV
fcis-2022	6	2	,	,	PUNCT
fcis-2022	6	3	the	the	DET
fcis-2022	6	4	image	image	NOUN
fcis-2022	6	5	generates	generate	VERB
fcis-2022	6	6	rich	rich	ADJ
fcis-2022	6	7	features	feature	NOUN
fcis-2022	6	8	through	through	ADP
fcis-2022	6	9	the	the	DET
fcis-2022	6	10	input	input	NOUN
fcis-2022	6	11	module	module	NOUN
fcis-2022	6	12	,	,	PUNCT
fcis-2022	6	13	and	and	CCONJ
fcis-2022	6	14	then	then	ADV
fcis-2022	6	15	the	the	DET
fcis-2022	6	16	features	feature	NOUN
fcis-2022	6	17	are	be	AUX
fcis-2022	6	18	imported	import	VERB
fcis-2022	6	19	into	into	ADP
fcis-2022	6	20	a	a	DET
fcis-2022	6	21	multi	multi	ADJ
fcis-2022	6	22	-	-	ADJ
fcis-2022	6	23	scale	scale	ADJ
fcis-2022	6	24	enhancement	enhancement	NOUN
fcis-2022	6	25	network	network	NOUN
fcis-2022	6	26	with	with	ADP
fcis-2022	6	27	dense	dense	ADJ
fcis-2022	6	28	residual	residual	ADJ
fcis-2022	6	29	blocks	block	NOUN
fcis-2022	6	30	,	,	PUNCT
fcis-2022	6	31	using	use	VERB
fcis-2022	6	32	positive	positive	ADJ
fcis-2022	6	33	and	and	CCONJ
fcis-2022	6	34	negative	negative	ADJ
fcis-2022	6	35	samples	sample	NOUN
fcis-2022	6	36	to	to	PART
fcis-2022	6	37	guide	guide	VERB
fcis-2022	6	38	the	the	DET
fcis-2022	6	39	network	network	NOUN
fcis-2022	6	40	training	training	NOUN
fcis-2022	6	41	,	,	PUNCT
fcis-2022	6	42	and	and	CCONJ
fcis-2022	6	43	finally	finally	ADV
fcis-2022	6	44	using	use	VERB
fcis-2022	6	45	the	the	DET
fcis-2022	6	46	refinement	refinement	NOUN
fcis-2022	6	47	module	module	NOUN
fcis-2022	6	48	to	to	PART
fcis-2022	6	49	enrich	enrich	VERB
fcis-2022	6	50	the	the	DET
fcis-2022	6	51	image	image	NOUN
fcis-2022	6	52	details	detail	NOUN
fcis-2022	6	53	.	.	PUNCT
fcis-2022	7	1	experimental	experimental	ADJ
fcis-2022	7	2	results	result	NOUN
fcis-2022	7	3	on	on	ADP
fcis-2022	7	4	the	the	DET
fcis-2022	7	5	dataset	dataset	NOUN
fcis-2022	7	6	show	show	NOUN
fcis-2022	7	7	that	that	SCONJ
fcis-2022	7	8	this	this	DET
fcis-2022	7	9	method	method	NOUN
fcis-2022	7	10	can	can	AUX
fcis-2022	7	11	reduce	reduce	VERB
fcis-2022	7	12	noise	noise	NOUN
fcis-2022	7	13	and	and	CCONJ
fcis-2022	7	14	artifacts	artifact	NOUN
fcis-2022	7	15	in	in	ADP
fcis-2022	7	16	low	low	ADJ
fcis-2022	7	17	-	-	PUNCT
fcis-2022	7	18	light	light	NOUN
fcis-2022	7	19	images	image	NOUN
fcis-2022	7	20	,	,	PUNCT
fcis-2022	7	21	and	and	CCONJ
fcis-2022	7	22	can	can	AUX
fcis-2022	7	23	improve	improve	VERB
fcis-2022	7	24	contrast	contrast	NOUN
fcis-2022	7	25	and	and	CCONJ
fcis-2022	7	26	brightness	brightness	NOUN
fcis-2022	7	27	,	,	PUNCT
fcis-2022	7	28	demonstrating	demonstrate	VERB
fcis-2022	7	29	its	its	PRON
fcis-2022	7	30	advantages	advantage	NOUN
fcis-2022	7	31	.	.	PUNCT
fcis-2022	8	1	keywords	keyword	NOUN
fcis-2022	8	2	:	:	PUNCT
fcis-2022	8	3	deep	deep	ADJ
fcis-2022	8	4	learning	learning	NOUN
fcis-2022	8	5	;	;	PUNCT
fcis-2022	8	6	low	low	ADJ
fcis-2022	8	7	-	-	PUNCT
fcis-2022	8	8	light	light	NOUN
fcis-2022	8	9	enhancement	enhancement	NOUN
fcis-2022	8	10	;	;	PUNCT
fcis-2022	8	11	residual	residual	ADJ
fcis-2022	8	12	network	network	NOUN
fcis-2022	8	13	;	;	PUNCT
fcis-2022	8	14	contrast	contrast	NOUN
fcis-2022	8	15	regularization	regularization	NOUN
fcis-2022	8	16	.	.	PUNCT
fcis-2022	9	1	1	1	X
fcis-2022	9	2	.	.	X
fcis-2022	9	3	introduction	introduction	NOUN
fcis-2022	9	4	as	as	ADP
fcis-2022	9	5	an	an	DET
fcis-2022	9	6	important	important	ADJ
fcis-2022	9	7	medium	medium	NOUN
fcis-2022	9	8	for	for	ADP
fcis-2022	9	9	perceiving	perceive	VERB
fcis-2022	9	10	the	the	DET
fcis-2022	9	11	world	world	NOUN
fcis-2022	9	12	,	,	PUNCT
fcis-2022	9	13	the	the	DET
fcis-2022	9	14	quality	quality	NOUN
fcis-2022	9	15	of	of	ADP
fcis-2022	9	16	images	image	NOUN
fcis-2022	9	17	often	often	ADV
fcis-2022	9	18	determines	determine	VERB
fcis-2022	9	19	the	the	DET
fcis-2022	9	20	performance	performance	NOUN
fcis-2022	9	21	of	of	ADP
fcis-2022	9	22	algorithms	algorithm	NOUN
fcis-2022	9	23	,	,	PUNCT
fcis-2022	9	24	and	and	CCONJ
fcis-2022	9	25	the	the	DET
fcis-2022	9	26	images	image	NOUN
fcis-2022	9	27	taken	take	VERB
fcis-2022	9	28	under	under	ADP
fcis-2022	9	29	low	low	ADJ
fcis-2022	9	30	-	-	PUNCT
fcis-2022	9	31	light	light	NOUN
fcis-2022	9	32	conditions	condition	NOUN
fcis-2022	9	33	contain	contain	VERB
fcis-2022	9	34	a	a	DET
fcis-2022	9	35	lot	lot	NOUN
fcis-2022	9	36	of	of	ADP
fcis-2022	9	37	noise	noise	NOUN
fcis-2022	9	38	,	,	PUNCT
fcis-2022	9	39	which	which	PRON
fcis-2022	9	40	affects	affect	VERB
fcis-2022	9	41	the	the	DET
fcis-2022	9	42	information	information	NOUN
fcis-2022	9	43	acquisition	acquisition	NOUN
fcis-2022	9	44	in	in	ADP
fcis-2022	9	45	the	the	DET
fcis-2022	9	46	application	application	NOUN
fcis-2022	9	47	process	process	NOUN
fcis-2022	9	48	of	of	ADP
fcis-2022	9	49	high	high	ADJ
fcis-2022	9	50	-	-	PUNCT
fcis-2022	9	51	level	level	NOUN
fcis-2022	9	52	visual	visual	ADJ
fcis-2022	9	53	tasks	task	NOUN
fcis-2022	9	54	,	,	PUNCT
fcis-2022	9	55	such	such	ADJ
fcis-2022	9	56	as	as	ADP
fcis-2022	9	57	semantic	semantic	ADJ
fcis-2022	9	58	segmentation	segmentation	NOUN
fcis-2022	9	59	and	and	CCONJ
fcis-2022	9	60	target	target	NOUN
fcis-2022	9	61	recognition	recognition	NOUN
fcis-2022	9	62	.	.	PUNCT
fcis-2022	10	1	there	there	PRON
fcis-2022	10	2	are	be	VERB
fcis-2022	10	3	many	many	ADJ
fcis-2022	10	4	solutions	solution	NOUN
fcis-2022	10	5	for	for	ADP
fcis-2022	10	6	low	low	ADJ
fcis-2022	10	7	-	-	PUNCT
fcis-2022	10	8	light	light	ADJ
fcis-2022	10	9	image	image	NOUN
fcis-2022	10	10	enhancement	enhancement	NOUN
fcis-2022	10	11	,	,	PUNCT
fcis-2022	10	12	which	which	PRON
fcis-2022	10	13	are	be	AUX
fcis-2022	10	14	divided	divide	VERB
fcis-2022	10	15	into	into	ADP
fcis-2022	10	16	traditional	traditional	ADJ
fcis-2022	10	17	methods	method	NOUN
fcis-2022	10	18	and	and	CCONJ
fcis-2022	10	19	deep	deep	ADJ
fcis-2022	10	20	learningbased	learningbased	ADJ
fcis-2022	10	21	methods	method	NOUN
fcis-2022	10	22	according	accord	VERB
fcis-2022	10	23	to	to	ADP
fcis-2022	10	24	different	different	ADJ
fcis-2022	10	25	algorithmic	algorithmic	ADJ
fcis-2022	10	26	concepts	concept	NOUN
fcis-2022	10	27	.	.	PUNCT
fcis-2022	11	1	1.1	1.1	NUM
fcis-2022	11	2	.	.	PUNCT
fcis-2022	12	1	low	low	ADJ
fcis-2022	12	2	-	-	PUNCT
fcis-2022	12	3	light	light	NOUN
fcis-2022	12	4	enhancement	enhancement	NOUN
fcis-2022	12	5	based	base	VERB
fcis-2022	12	6	on	on	ADP
fcis-2022	12	7	traditional	traditional	ADJ
fcis-2022	12	8	methods	method	NOUN
fcis-2022	12	9	traditional	traditional	ADJ
fcis-2022	12	10	approaches	approach	NOUN
fcis-2022	12	11	to	to	ADP
fcis-2022	12	12	low	low	ADJ
fcis-2022	12	13	-	-	PUNCT
fcis-2022	12	14	light	light	NOUN
fcis-2022	12	15	image	image	NOUN
fcis-2022	12	16	enhancement	enhancement	NOUN
fcis-2022	12	17	are	be	AUX
fcis-2022	12	18	basically	basically	ADV
fcis-2022	12	19	divided	divide	VERB
fcis-2022	12	20	into	into	ADP
fcis-2022	12	21	two	two	NUM
fcis-2022	12	22	categories	category	NOUN
fcis-2022	12	23	:	:	PUNCT
fcis-2022	12	24	methods	method	NOUN
fcis-2022	12	25	based	base	VERB
fcis-2022	12	26	on	on	ADP
fcis-2022	12	27	distribution	distribution	NOUN
fcis-2022	12	28	mapping	mapping	NOUN
fcis-2022	12	29	[	[	X
fcis-2022	12	30	1	1	NUM
fcis-2022	12	31	]	]	PUNCT
fcis-2022	12	32	and	and	CCONJ
fcis-2022	12	33	methods	method	NOUN
fcis-2022	12	34	based	base	VERB
fcis-2022	12	35	on	on	ADP
fcis-2022	12	36	model	model	NOUN
fcis-2022	12	37	optimization	optimization	NOUN
fcis-2022	12	38	.	.	PUNCT
fcis-2022	13	1	the	the	DET
fcis-2022	13	2	distribution	distribution	NOUN
fcis-2022	13	3	mapping	mapping	NOUN
fcis-2022	13	4	method	method	NOUN
fcis-2022	13	5	uses	use	VERB
fcis-2022	13	6	curve	curve	NOUN
fcis-2022	13	7	transformation	transformation	NOUN
fcis-2022	13	8	,	,	PUNCT
fcis-2022	13	9	histogram	histogram	NOUN
fcis-2022	13	10	equalization	equalization	NOUN
fcis-2022	13	11	and	and	CCONJ
fcis-2022	13	12	other	other	ADJ
fcis-2022	13	13	means	mean	NOUN
fcis-2022	13	14	to	to	PART
fcis-2022	13	15	improve	improve	VERB
fcis-2022	13	16	the	the	DET
fcis-2022	13	17	pixel	pixel	ADJ
fcis-2022	13	18	distribution	distribution	NOUN
fcis-2022	13	19	of	of	ADP
fcis-2022	13	20	the	the	DET
fcis-2022	13	21	image	image	NOUN
fcis-2022	13	22	to	to	PART
fcis-2022	13	23	improve	improve	VERB
fcis-2022	13	24	the	the	DET
fcis-2022	13	25	brightness	brightness	NOUN
fcis-2022	13	26	and	and	CCONJ
fcis-2022	13	27	clarity	clarity	NOUN
fcis-2022	13	28	of	of	ADP
fcis-2022	13	29	the	the	DET
fcis-2022	13	30	image	image	NOUN
fcis-2022	13	31	,	,	PUNCT
fcis-2022	13	32	but	but	CCONJ
fcis-2022	13	33	does	do	AUX
fcis-2022	13	34	not	not	PART
fcis-2022	13	35	consider	consider	VERB
fcis-2022	13	36	adjacent	adjacent	ADJ
fcis-2022	13	37	pixels	pixel	NOUN
fcis-2022	13	38	,	,	PUNCT
fcis-2022	13	39	resulting	result	VERB
fcis-2022	13	40	in	in	ADP
fcis-2022	13	41	color	color	NOUN
fcis-2022	13	42	distortion	distortion	NOUN
fcis-2022	13	43	and	and	CCONJ
fcis-2022	13	44	abnormal	abnormal	ADJ
fcis-2022	13	45	details	detail	NOUN
fcis-2022	13	46	.	.	PUNCT
fcis-2022	14	1	the	the	DET
fcis-2022	14	2	core	core	NOUN
fcis-2022	14	3	of	of	ADP
fcis-2022	14	4	the	the	DET
fcis-2022	14	5	model	model	NOUN
fcis-2022	14	6	-	-	PUNCT
fcis-2022	14	7	based	base	VERB
fcis-2022	14	8	optimization	optimization	NOUN
fcis-2022	14	9	method	method	NOUN
fcis-2022	14	10	is	be	AUX
fcis-2022	14	11	to	to	PART
fcis-2022	14	12	take	take	VERB
fcis-2022	14	13	the	the	DET
fcis-2022	14	14	data	datum	NOUN
fcis-2022	14	15	derived	derive	VERB
fcis-2022	14	16	from	from	ADP
fcis-2022	14	17	the	the	DET
fcis-2022	14	18	physical	physical	ADJ
fcis-2022	14	19	imaging	imaging	NOUN
fcis-2022	14	20	law	law	NOUN
fcis-2022	14	21	as	as	ADP
fcis-2022	14	22	the	the	DET
fcis-2022	14	23	basic	basic	ADJ
fcis-2022	14	24	component	component	NOUN
fcis-2022	14	25	and	and	CCONJ
fcis-2022	14	26	further	far	ADV
fcis-2022	14	27	use	use	VERB
fcis-2022	14	28	the	the	DET
fcis-2022	14	29	existing	exist	VERB
fcis-2022	14	30	optimization	optimization	NOUN
fcis-2022	14	31	technology	technology	NOUN
fcis-2022	14	32	to	to	PART
fcis-2022	14	33	solve	solve	VERB
fcis-2022	14	34	.	.	PUNCT
fcis-2022	15	1	for	for	ADP
fcis-2022	15	2	example	example	NOUN
fcis-2022	15	3	,	,	PUNCT
fcis-2022	15	4	retinex	retinex	ADJ
fcis-2022	15	5	theory	theory	NOUN
fcis-2022	15	6	[	[	X
fcis-2022	15	7	2,3	2,3	NUM
fcis-2022	15	8	]	]	PUNCT
fcis-2022	15	9	based	base	VERB
fcis-2022	15	10	on	on	ADP
fcis-2022	15	11	color	color	NOUN
fcis-2022	15	12	sensitivity	sensitivity	NOUN
fcis-2022	15	13	consistency	consistency	NOUN
fcis-2022	15	14	,	,	PUNCT
fcis-2022	15	15	set	set	VERB
fcis-2022	15	16	the	the	DET
fcis-2022	15	17	original	original	ADJ
fcis-2022	15	18	image	image	NOUN
fcis-2022	15	19	s	s	PART
fcis-2022	15	20	is	be	AUX
fcis-2022	15	21	the	the	DET
fcis-2022	15	22	product	product	NOUN
fcis-2022	15	23	of	of	ADP
fcis-2022	15	24	light	light	ADJ
fcis-2022	15	25	image	image	NOUN
fcis-2022	15	26	l	l	NOUN
fcis-2022	15	27	and	and	CCONJ
fcis-2022	15	28	reflected	reflect	VERB
fcis-2022	15	29	image	image	NOUN
fcis-2022	15	30	r	r	NOUN
fcis-2022	15	31	,	,	PUNCT
fcis-2022	15	32	and	and	CCONJ
fcis-2022	15	33	then	then	ADV
fcis-2022	15	34	decompose	decompose	VERB
fcis-2022	15	35	r	r	NOUN
fcis-2022	15	36	to	to	PART
fcis-2022	15	37	eliminate	eliminate	VERB
fcis-2022	15	38	the	the	DET
fcis-2022	15	39	effect	effect	NOUN
fcis-2022	15	40	of	of	ADP
fcis-2022	15	41	light	light	ADJ
fcis-2022	15	42	unevenness	unevenness	NOUN
fcis-2022	15	43	and	and	CCONJ
fcis-2022	15	44	improve	improve	VERB
fcis-2022	15	45	image	image	NOUN
fcis-2022	15	46	quality	quality	NOUN
fcis-2022	15	47	.	.	PUNCT
fcis-2022	16	1	however	however	ADV
fcis-2022	16	2	,	,	PUNCT
fcis-2022	16	3	this	this	DET
fcis-2022	16	4	method	method	NOUN
fcis-2022	16	5	does	do	AUX
fcis-2022	16	6	not	not	PART
fcis-2022	16	7	consider	consider	VERB
fcis-2022	16	8	the	the	DET
fcis-2022	16	9	saturation	saturation	NOUN
fcis-2022	16	10	component	component	NOUN
fcis-2022	16	11	and	and	CCONJ
fcis-2022	16	12	the	the	DET
fcis-2022	16	13	luminance	luminance	NOUN
fcis-2022	16	14	component	component	NOUN
fcis-2022	16	15	,	,	PUNCT
fcis-2022	16	16	and	and	CCONJ
fcis-2022	16	17	there	there	PRON
fcis-2022	16	18	is	be	VERB
fcis-2022	16	19	still	still	ADV
fcis-2022	16	20	a	a	DET
fcis-2022	16	21	problem	problem	NOUN
fcis-2022	16	22	of	of	ADP
fcis-2022	16	23	blurred	blurred	ADJ
fcis-2022	16	24	detail	detail	NOUN
fcis-2022	16	25	in	in	ADP
fcis-2022	16	26	low	low	ADJ
fcis-2022	16	27	-	-	PUNCT
fcis-2022	16	28	light	light	NOUN
fcis-2022	16	29	images	image	NOUN
fcis-2022	16	30	.	.	PUNCT
fcis-2022	17	1	1.2	1.2	NUM
fcis-2022	17	2	.	.	PUNCT
fcis-2022	17	3	low	low	ADJ
fcis-2022	17	4	-	-	PUNCT
fcis-2022	17	5	light	light	NOUN
fcis-2022	17	6	enhancement	enhancement	NOUN
fcis-2022	17	7	based	base	VERB
fcis-2022	17	8	on	on	ADP
fcis-2022	17	9	deep	deep	ADJ
fcis-2022	17	10	learning	learning	NOUN
fcis-2022	17	11	in	in	ADP
fcis-2022	17	12	order	order	NOUN
fcis-2022	17	13	to	to	PART
fcis-2022	17	14	overcome	overcome	VERB
fcis-2022	17	15	the	the	DET
fcis-2022	17	16	drawbacks	drawback	NOUN
fcis-2022	17	17	of	of	ADP
fcis-2022	17	18	the	the	DET
fcis-2022	17	19	above	above	ADJ
fcis-2022	17	20	traditional	traditional	ADJ
fcis-2022	17	21	methods	method	NOUN
fcis-2022	17	22	,	,	PUNCT
fcis-2022	17	23	and	and	CCONJ
fcis-2022	17	24	with	with	ADP
fcis-2022	17	25	the	the	DET
fcis-2022	17	26	development	development	NOUN
fcis-2022	17	27	of	of	ADP
fcis-2022	17	28	deep	deep	ADJ
fcis-2022	17	29	learning	learning	NOUN
fcis-2022	18	1	[	[	PUNCT
fcis-2022	18	2	4	4	NUM
fcis-2022	18	3	-	-	SYM
fcis-2022	18	4	6	6	NUM
fcis-2022	18	5	]	]	PUNCT
fcis-2022	18	6	,	,	PUNCT
fcis-2022	18	7	the	the	DET
fcis-2022	18	8	relationship	relationship	NOUN
fcis-2022	18	9	between	between	ADP
fcis-2022	18	10	low	low	ADJ
fcis-2022	18	11	-	-	PUNCT
fcis-2022	18	12	light	light	NOUN
fcis-2022	18	13	input	input	NOUN
fcis-2022	18	14	and	and	CCONJ
fcis-2022	18	15	enhanced	enhance	VERB
fcis-2022	18	16	output	output	NOUN
fcis-2022	18	17	has	have	AUX
fcis-2022	18	18	become	become	VERB
fcis-2022	18	19	a	a	DET
fcis-2022	18	20	mainstream	mainstream	ADJ
fcis-2022	18	21	low	low	ADJ
fcis-2022	18	22	-	-	PUNCT
fcis-2022	18	23	light	light	NOUN
fcis-2022	18	24	image	image	NOUN
fcis-2022	18	25	enhancement	enhancement	NOUN
fcis-2022	18	26	mode	mode	NOUN
fcis-2022	18	27	by	by	ADP
fcis-2022	18	28	heuristically	heuristically	ADV
fcis-2022	18	29	designing	design	VERB
fcis-2022	18	30	network	network	NOUN
fcis-2022	18	31	structures	structure	NOUN
fcis-2022	18	32	.	.	PUNCT
fcis-2022	19	1	two	two	NUM
fcis-2022	19	2	-	-	PUNCT
fcis-2022	19	3	stage	stage	NOUN
fcis-2022	19	4	object	object	NOUN
fcis-2022	19	5	detection	detection	NOUN
fcis-2022	19	6	algorithms	algorithm	NOUN
fcis-2022	19	7	represented	represent	VERB
fcis-2022	19	8	by	by	ADP
fcis-2022	19	9	rcnn	rcnn	PROPN
fcis-2022	20	1	[	[	X
fcis-2022	20	2	7	7	NUM
fcis-2022	20	3	]	]	PUNCT
fcis-2022	20	4	,	,	PUNCT
fcis-2022	20	5	fast	fast	ADJ
fcis-2022	20	6	rcnn	rcnn	NOUN
fcis-2022	21	1	[	[	X
fcis-2022	21	2	8	8	NUM
fcis-2022	21	3	]	]	PUNCT
fcis-2022	21	4	,	,	PUNCT
fcis-2022	21	5	faster	fast	ADJ
fcis-2022	21	6	rcnn	rcnn	NOUN
fcis-2022	22	1	[	[	X
fcis-2022	22	2	9	9	NUM
fcis-2022	22	3	]	]	PUNCT
fcis-2022	22	4	and	and	CCONJ
fcis-2022	22	5	single	single	ADJ
fcis-2022	22	6	-	-	PUNCT
fcis-2022	22	7	stage	stage	NOUN
fcis-2022	22	8	object	object	NOUN
fcis-2022	22	9	detection	detection	NOUN
fcis-2022	22	10	algorithms	algorithm	NOUN
fcis-2022	22	11	represented	represent	VERB
fcis-2022	22	12	by	by	ADP
fcis-2022	22	13	yolo	yolo	PRON
fcis-2022	23	1	[	[	X
fcis-2022	23	2	10	10	NUM
fcis-2022	23	3	]	]	PUNCT
fcis-2022	23	4	and	and	CCONJ
fcis-2022	23	5	ssd	ssd	NOUN
fcis-2022	23	6	[	[	X
fcis-2022	23	7	11	11	NUM
fcis-2022	23	8	]	]	PUNCT
fcis-2022	23	9	have	have	AUX
fcis-2022	23	10	emerged	emerge	VERB
fcis-2022	23	11	,	,	PUNCT
fcis-2022	23	12	but	but	CCONJ
fcis-2022	23	13	these	these	DET
fcis-2022	23	14	methods	method	NOUN
fcis-2022	23	15	focus	focus	VERB
fcis-2022	23	16	on	on	ADP
fcis-2022	23	17	individual	individual	ADJ
fcis-2022	23	18	performance	performance	NOUN
fcis-2022	23	19	enhancements	enhancement	NOUN
fcis-2022	23	20	.	.	PUNCT
fcis-2022	24	1	detail	detail	NOUN
fcis-2022	24	2	recovery	recovery	NOUN
fcis-2022	24	3	and	and	CCONJ
fcis-2022	24	4	color	color	NOUN
fcis-2022	24	5	correction	correction	NOUN
fcis-2022	24	6	for	for	ADP
fcis-2022	24	7	lowlight	lowlight	ADJ
fcis-2022	24	8	images	image	NOUN
fcis-2022	24	9	are	be	AUX
fcis-2022	24	10	still	still	ADV
fcis-2022	24	11	a	a	DET
fcis-2022	24	12	huge	huge	ADJ
fcis-2022	24	13	challenge	challenge	NOUN
fcis-2022	24	14	.	.	PUNCT
fcis-2022	25	1	2	2	X
fcis-2022	25	2	.	.	NUM
fcis-2022	25	3	proposed	propose	VERB
fcis-2022	25	4	method	method	NOUN
fcis-2022	25	5	2.1	2.1	NUM
fcis-2022	25	6	.	.	PUNCT
fcis-2022	26	1	the	the	DET
fcis-2022	26	2	main	main	ADJ
fcis-2022	26	3	network	network	NOUN
fcis-2022	26	4	structures	structure	VERB
fcis-2022	26	5	the	the	DET
fcis-2022	26	6	approach	approach	NOUN
fcis-2022	26	7	we	we	PRON
fcis-2022	26	8	propose	propose	VERB
fcis-2022	26	9	is	be	AUX
fcis-2022	26	10	the	the	DET
fcis-2022	26	11	network	network	NOUN
fcis-2022	26	12	architecture	architecture	NOUN
fcis-2022	26	13	shown	show	VERB
fcis-2022	26	14	in	in	ADP
fcis-2022	26	15	figure	figure	NOUN
fcis-2022	26	16	1	1	NUM
fcis-2022	26	17	,	,	PUNCT
fcis-2022	26	18	which	which	PRON
fcis-2022	26	19	is	be	AUX
fcis-2022	26	20	an	an	DET
fcis-2022	26	21	end	end	NOUN
fcis-2022	26	22	-	-	PUNCT
fcis-2022	26	23	to	to	ADP
fcis-2022	26	24	-	-	PUNCT
fcis-2022	26	25	end	end	NOUN
fcis-2022	26	26	model	model	NOUN
fcis-2022	26	27	.	.	PUNCT
fcis-2022	27	1	in	in	ADP
fcis-2022	27	2	order	order	NOUN
fcis-2022	27	3	for	for	SCONJ
fcis-2022	27	4	the	the	DET
fcis-2022	27	5	network	network	NOUN
fcis-2022	27	6	to	to	PART
fcis-2022	27	7	learn	learn	VERB
fcis-2022	27	8	more	more	ADJ
fcis-2022	27	9	features	feature	NOUN
fcis-2022	27	10	of	of	ADP
fcis-2022	27	11	multiple	multiple	ADJ
fcis-2022	27	12	dimensions	dimension	NOUN
fcis-2022	27	13	,	,	PUNCT
fcis-2022	27	14	a	a	DET
fcis-2022	27	15	3	3	NUM
fcis-2022	27	16	*	*	SYM
fcis-2022	27	17	3	3	NUM
fcis-2022	27	18	convolutional	convolutional	ADJ
fcis-2022	27	19	layer	layer	NOUN
fcis-2022	27	20	is	be	AUX
fcis-2022	27	21	used	use	VERB
fcis-2022	27	22	to	to	PART
fcis-2022	27	23	increase	increase	VERB
fcis-2022	27	24	the	the	DET
fcis-2022	27	25	number	number	NOUN
fcis-2022	27	26	of	of	ADP
fcis-2022	27	27	feature	feature	NOUN
fcis-2022	27	28	dimensions	dimension	NOUN
fcis-2022	27	29	.	.	PUNCT
fcis-2022	28	1	in	in	ADP
fcis-2022	28	2	order	order	NOUN
fcis-2022	28	3	to	to	PART
fcis-2022	28	4	enable	enable	VERB
fcis-2022	28	5	information	information	NOUN
fcis-2022	28	6	between	between	ADP
fcis-2022	28	7	the	the	DET
fcis-2022	28	8	different	different	ADJ
fcis-2022	28	9	dimensions	dimension	NOUN
fcis-2022	28	10	to	to	PART
fcis-2022	28	11	communicate	communicate	VERB
fcis-2022	28	12	,	,	PUNCT
fcis-2022	28	13	we	we	PRON
fcis-2022	28	14	borrowed	borrow	VERB
fcis-2022	28	15	the	the	DET
fcis-2022	28	16	idea	idea	NOUN
fcis-2022	28	17	of	of	ADP
fcis-2022	28	18	up	up	ADP
fcis-2022	28	19	sampling	sample	VERB
fcis-2022	28	20	and	and	CCONJ
fcis-2022	28	21	down	down	ADV
fcis-2022	28	22	sampling	sample	VERB
fcis-2022	28	23	in	in	ADP
fcis-2022	28	24	u	u	NOUN
fcis-2022	28	25	-	-	NOUN
fcis-2022	28	26	net	net	ADJ
fcis-2022	28	27	[	[	X
fcis-2022	28	28	12	12	NUM
fcis-2022	28	29	]	]	PUNCT
fcis-2022	28	30	and	and	CCONJ
fcis-2022	28	31	then	then	ADV
fcis-2022	28	32	used	use	VERB
fcis-2022	28	33	the	the	DET
fcis-2022	28	34	fa	fa	PROPN
fcis-2022	28	35	block	block	NOUN
fcis-2022	28	36	in	in	ADP
fcis-2022	28	37	ffa	ffa	PROPN
fcis-2022	28	38	-	-	NOUN
fcis-2022	28	39	net	net	NOUN
fcis-2022	28	40	[	[	X
fcis-2022	28	41	13	13	NUM
fcis-2022	28	42	]	]	PUNCT
fcis-2022	28	43	with	with	ADP
fcis-2022	28	44	efficient	efficient	ADJ
fcis-2022	28	45	fa	fa	NOUN
fcis-2022	28	46	blocks	block	NOUN
fcis-2022	28	47	as	as	ADP
fcis-2022	28	48	our	our	PRON
fcis-2022	28	49	base	base	NOUN
fcis-2022	28	50	blocks	block	NOUN
fcis-2022	28	51	.	.	PUNCT
fcis-2022	29	1	unlike	unlike	ADP
fcis-2022	29	2	ffa	ffa	PROPN
fcis-2022	29	3	-	-	PUNCT
fcis-2022	29	4	net	net	NOUN
fcis-2022	29	5	,	,	PUNCT
fcis-2022	29	6	in	in	ADP
fcis-2022	29	7	order	order	NOUN
fcis-2022	29	8	to	to	PART
fcis-2022	29	9	improve	improve	VERB
fcis-2022	29	10	computational	computational	ADJ
fcis-2022	29	11	efficiency	efficiency	NOUN
fcis-2022	29	12	and	and	CCONJ
fcis-2022	29	13	reduce	reduce	VERB
fcis-2022	29	14	memory	memory	NOUN
fcis-2022	29	15	storage	storage	NOUN
fcis-2022	29	16	,	,	PUNCT
fcis-2022	29	17	we	we	PRON
fcis-2022	29	18	reduced	reduce	VERB
fcis-2022	29	19	the	the	DET
fcis-2022	29	20	57	57	NUM
fcis-2022	29	21	fa	fa	NOUN
fcis-2022	29	22	blocks	block	NOUN
fcis-2022	29	23	in	in	ADP
fcis-2022	29	24	ffa	ffa	PROPN
fcis-2022	29	25	-	-	PUNCT
fcis-2022	29	26	net	net	NOUN
fcis-2022	29	27	to	to	ADP
fcis-2022	29	28	6	6	NUM
fcis-2022	29	29	fa	fa	NOUN
fcis-2022	29	30	blocks	block	NOUN
fcis-2022	29	31	.	.	PUNCT
fcis-2022	30	1	specifically	specifically	ADV
fcis-2022	30	2	,	,	PUNCT
fcis-2022	30	3	a	a	DET
fcis-2022	30	4	4x	4x	NUM
fcis-2022	30	5	down	down	ADP
fcis-2022	30	6	sampling	sample	VERB
fcis-2022	30	7	operation	operation	NOUN
fcis-2022	30	8	,	,	PUNCT
fcis-2022	30	9	such	such	ADJ
fcis-2022	30	10	as	as	ADP
fcis-2022	30	11	a	a	DET
fcis-2022	30	12	regular	regular	ADJ
fcis-2022	30	13	convolution	convolution	NOUN
fcis-2022	30	14	in	in	ADP
fcis-2022	30	15	step	step	NOUN
fcis-2022	30	16	1	1	NUM
fcis-2022	30	17	and	and	CCONJ
fcis-2022	30	18	two	two	NUM
fcis-2022	30	19	convolutional	convolutional	ADJ
fcis-2022	30	20	layers	layer	NOUN
fcis-2022	30	21	with	with	ADP
fcis-2022	30	22	two	two	NUM
fcis-2022	30	23	steps	step	NOUN
fcis-2022	30	24	in	in	ADP
fcis-2022	30	25	2	2	NUM
fcis-2022	30	26	,	,	PUNCT
fcis-2022	30	27	causes	cause	VERB
fcis-2022	30	28	dense	dense	ADJ
fcis-2022	30	29	fa	fa	NOUN
fcis-2022	30	30	blocks	block	NOUN
fcis-2022	30	31	to	to	PART
fcis-2022	30	32	learn	learn	VERB
fcis-2022	30	33	feature	feature	NOUN
fcis-2022	30	34	representations	representation	NOUN
fcis-2022	30	35	in	in	ADP
fcis-2022	30	36	low	low	ADJ
fcis-2022	30	37	-	-	PUNCT
fcis-2022	30	38	resolution	resolution	NOUN
fcis-2022	30	39	spaces	space	NOUN
fcis-2022	30	40	,	,	PUNCT
fcis-2022	30	41	and	and	CCONJ
fcis-2022	30	42	then	then	ADV
fcis-2022	30	43	uses	use	VERB
fcis-2022	30	44	the	the	DET
fcis-2022	30	45	corresponding	correspond	VERB
fcis-2022	30	46	4x	4x	NOUN
fcis-2022	30	47	up	up	ADP
fcis-2022	30	48	sampling	sample	VERB
fcis-2022	30	49	and	and	CCONJ
fcis-2022	30	50	a	a	DET
fcis-2022	30	51	regular	regular	ADJ
fcis-2022	30	52	convolution	convolution	NOUN
fcis-2022	30	53	to	to	PART
fcis-2022	30	54	generate	generate	VERB
fcis-2022	30	55	the	the	DET
fcis-2022	30	56	recovered	recovered	ADJ
fcis-2022	30	57	image	image	NOUN
fcis-2022	30	58	.	.	PUNCT
fcis-2022	31	1	in	in	ADP
fcis-2022	31	2	figure	figure	NOUN
fcis-2022	31	3	1	1	NUM
fcis-2022	31	4	,	,	PUNCT
fcis-2022	31	5	we	we	PRON
fcis-2022	31	6	represent	represent	VERB
fcis-2022	31	7	the	the	DET
fcis-2022	31	8	low	low	ADJ
fcis-2022	31	9	-	-	PUNCT
fcis-2022	31	10	light	light	NOUN
fcis-2022	31	11	image	image	NOUN
fcis-2022	31	12	,	,	PUNCT
fcis-2022	31	13	the	the	DET
fcis-2022	31	14	corresponding	corresponding	ADJ
fcis-2022	31	15	recovered	recover	VERB
fcis-2022	31	16	image	image	NOUN
fcis-2022	31	17	generated	generate	VERB
fcis-2022	31	18	by	by	ADP
fcis-2022	31	19	the	the	DET
fcis-2022	31	20	low	low	ADJ
fcis-2022	31	21	-	-	PUNCT
fcis-2022	31	22	light	light	NOUN
fcis-2022	31	23	enhancement	enhancement	NOUN
fcis-2022	31	24	network	network	NOUN
fcis-2022	31	25	,	,	PUNCT
fcis-2022	31	26	and	and	CCONJ
fcis-2022	31	27	its	its	PRON
fcis-2022	31	28	sharp	sharp	ADJ
fcis-2022	31	29	image	image	NOUN
fcis-2022	31	30	as	as	ADP
fcis-2022	31	31	negatives	negative	NOUN
fcis-2022	31	32	,	,	PUNCT
fcis-2022	31	33	anchor	anchor	NOUN
fcis-2022	31	34	points	point	NOUN
fcis-2022	31	35	,	,	PUNCT
fcis-2022	31	36	and	and	CCONJ
fcis-2022	31	37	positives	positive	NOUN
fcis-2022	31	38	,	,	PUNCT
fcis-2022	31	39	respectively	respectively	ADV
fcis-2022	31	40	.	.	PUNCT
fcis-2022	32	1	contrast	contrast	NOUN
fcis-2022	32	2	regularization	regularization	NOUN
fcis-2022	32	3	brings	bring	VERB
fcis-2022	32	4	the	the	DET
fcis-2022	32	5	resulting	result	VERB
fcis-2022	32	6	corresponding	correspond	VERB
fcis-2022	32	7	recovery	recovery	NOUN
fcis-2022	32	8	diagram	diagram	NOUN
fcis-2022	32	9	closer	close	ADV
fcis-2022	32	10	to	to	ADP
fcis-2022	32	11	the	the	DET
fcis-2022	32	12	sharp	sharp	ADJ
fcis-2022	32	13	image	image	NOUN
fcis-2022	32	14	and	and	CCONJ
fcis-2022	32	15	away	away	ADV
fcis-2022	32	16	from	from	ADP
fcis-2022	32	17	the	the	DET
fcis-2022	32	18	blurry	blurry	ADJ
fcis-2022	32	19	image	image	NOUN
fcis-2022	32	20	.	.	PUNCT
fcis-2022	33	1	and	and	CCONJ
fcis-2022	33	2	the	the	DET
fcis-2022	33	3	anchor	anchor	NOUN
fcis-2022	33	4	image	image	NOUN
fcis-2022	33	5	can	can	AUX
fcis-2022	33	6	be	be	AUX
fcis-2022	33	7	constrained	constrain	VERB
fcis-2022	33	8	to	to	ADP
fcis-2022	33	9	a	a	DET
fcis-2022	33	10	closed	closed	ADJ
fcis-2022	33	11	upper	upper	ADJ
fcis-2022	33	12	and	and	CCONJ
fcis-2022	33	13	lower	low	ADJ
fcis-2022	33	14	bounds	bound	NOUN
fcis-2022	33	15	by	by	ADP
fcis-2022	33	16	contrast	contrast	NOUN
fcis-2022	33	17	learning	learning	NOUN
fcis-2022	33	18	,	,	PUNCT
fcis-2022	33	19	which	which	PRON
fcis-2022	33	20	will	will	AUX
fcis-2022	33	21	help	help	VERB
fcis-2022	33	22	the	the	DET
fcis-2022	33	23	low	low	ADJ
fcis-2022	33	24	-	-	PUNCT
fcis-2022	33	25	light	light	NOUN
fcis-2022	33	26	enhancement	enhancement	NOUN
fcis-2022	33	27	network	network	NOUN
fcis-2022	33	28	to	to	PART
fcis-2022	33	29	approach	approach	VERB
fcis-2022	33	30	the	the	DET
fcis-2022	33	31	positive	positive	ADJ
fcis-2022	33	32	image	image	NOUN
fcis-2022	33	33	and	and	CCONJ
fcis-2022	33	34	away	away	ADV
fcis-2022	33	35	from	from	ADP
fcis-2022	33	36	the	the	DET
fcis-2022	33	37	negative	negative	ADJ
fcis-2022	33	38	image	image	NOUN
fcis-2022	33	39	faster	fast	ADV
fcis-2022	33	40	.	.	PUNCT
fcis-2022	34	1	finally	finally	ADV
fcis-2022	34	2	,	,	PUNCT
fcis-2022	34	3	a	a	DET
fcis-2022	34	4	refinement	refinement	NOUN
fcis-2022	34	5	processing	processing	NOUN
fcis-2022	34	6	module	module	NOUN
fcis-2022	34	7	,	,	PUNCT
fcis-2022	34	8	the	the	DET
fcis-2022	34	9	grdb	grdb	PROPN
fcis-2022	34	10	module	module	NOUN
fcis-2022	34	11	,	,	PUNCT
fcis-2022	34	12	is	be	AUX
fcis-2022	34	13	used	use	VERB
fcis-2022	34	14	to	to	ADP
fcis-2022	34	15	26	26	NUM
fcis-2022	34	16	output	output	NOUN
fcis-2022	34	17	the	the	DET
fcis-2022	34	18	final	final	ADJ
fcis-2022	34	19	low	low	ADJ
fcis-2022	34	20	-	-	PUNCT
fcis-2022	34	21	light	light	NOUN
fcis-2022	34	22	enhancement	enhancement	NOUN
fcis-2022	34	23	image	image	NOUN
fcis-2022	34	24	through	through	ADP
fcis-2022	34	25	a	a	DET
fcis-2022	34	26	convolutional	convolutional	ADJ
fcis-2022	34	27	3×3	3×3	NUM
fcis-2022	34	28	.	.	PUNCT
fcis-2022	35	1	the	the	DET
fcis-2022	35	2	overall	overall	ADJ
fcis-2022	35	3	model	model	NOUN
fcis-2022	35	4	of	of	ADP
fcis-2022	35	5	the	the	DET
fcis-2022	35	6	end	end	NOUN
fcis-2022	35	7	-	-	PUNCT
fcis-2022	35	8	to	to	ADP
fcis-2022	35	9	-	-	PUNCT
fcis-2022	35	10	end	end	NOUN
fcis-2022	35	11	single	single	ADJ
fcis-2022	35	12	-	-	PUNCT
fcis-2022	35	13	image	image	NOUN
fcis-2022	35	14	low	low	ADJ
fcis-2022	35	15	-	-	PUNCT
fcis-2022	35	16	light	light	NOUN
fcis-2022	35	17	enhancement	enhancement	NOUN
fcis-2022	35	18	approach	approach	NOUN
fcis-2022	35	19	can	can	AUX
fcis-2022	35	20	be	be	AUX
fcis-2022	35	21	represented	represent	VERB
fcis-2022	35	22	as	as	SCONJ
fcis-2022	35	23	follows	follow	VERB
fcis-2022	35	24	:	:	PUNCT
fcis-2022	35	25	arg	arg	VERB
fcis-2022	35	26	min	min	PROPN
fcis-2022	35	27	𝑤	𝑤	ADP
fcis-2022	35	28	‖𝐽	‖𝐽	PROPN
fcis-2022	35	29	−	−	PROPN
fcis-2022	35	30	𝜙(𝐼	𝜙(𝐼	PROPN
fcis-2022	35	31	,	,	PUNCT
fcis-2022	35	32	𝑤)‖	𝑤)‖	ADV
fcis-2022	35	33	+	+	CCONJ
fcis-2022	35	34	𝛽𝜌(𝜙(𝐼	𝛽𝜌(𝜙(𝐼	PROPN
fcis-2022	35	35	,	,	PUNCT
fcis-2022	35	36	𝑤	𝑤	NOUN
fcis-2022	35	37	)	)	PUNCT
fcis-2022	35	38	)	)	PUNCT
fcis-2022	35	39	(	(	PUNCT
fcis-2022	35	40	1	1	X
fcis-2022	35	41	)	)	PUNCT
fcis-2022	35	42	where	where	SCONJ
fcis-2022	35	43	i	i	PRON
fcis-2022	35	44	is	be	AUX
fcis-2022	35	45	the	the	DET
fcis-2022	35	46	low	low	ADJ
fcis-2022	35	47	-	-	PUNCT
fcis-2022	35	48	light	light	NOUN
fcis-2022	35	49	image	image	NOUN
fcis-2022	35	50	,	,	PUNCT
fcis-2022	35	51	j	j	PROPN
fcis-2022	35	52	is	be	AUX
fcis-2022	35	53	the	the	DET
fcis-2022	35	54	corresponding	corresponding	ADJ
fcis-2022	35	55	sharp	sharp	ADJ
fcis-2022	35	56	image	image	NOUN
fcis-2022	35	57	,	,	PUNCT
fcis-2022	35	58	and	and	CCONJ
fcis-2022	35	59	𝜙	𝜙	PROPN
fcis-2022	35	60	(	(	PUNCT
fcis-2022	35	61	·	·	PUNCT
fcis-2022	35	62	,	,	PUNCT
fcis-2022	35	63	w	w	NOUN
fcis-2022	35	64	)	)	PUNCT
fcis-2022	35	65	is	be	AUX
fcis-2022	35	66	the	the	DET
fcis-2022	35	67	low	low	ADJ
fcis-2022	35	68	-	-	PUNCT
fcis-2022	35	69	light	light	NOUN
fcis-2022	35	70	enhancement	enhancement	NOUN
fcis-2022	35	71	network	network	NOUN
fcis-2022	35	72	with	with	ADP
fcis-2022	35	73	the	the	DET
fcis-2022	35	74	parameter	parameter	NOUN
fcis-2022	35	75	w.	w.	PROPN
fcis-2022	35	76	‖𝐽	‖𝐽	PROPN
fcis-2022	36	1	−	−	PROPN
fcis-2022	36	2	𝜙(𝐼	𝜙(𝐼	PROPN
fcis-2022	36	3	,	,	PUNCT
fcis-2022	36	4	𝑤)‖	𝑤)‖	NOUN
fcis-2022	36	5	is	be	AUX
fcis-2022	36	6	a	a	DET
fcis-2022	36	7	data	datum	NOUN
fcis-2022	36	8	fidelity	fidelity	NOUN
fcis-2022	36	9	term	term	NOUN
fcis-2022	36	10	that	that	PRON
fcis-2022	36	11	typically	typically	ADV
fcis-2022	36	12	uses	use	VERB
fcis-2022	36	13	losses	loss	NOUN
fcis-2022	36	14	based	base	VERB
fcis-2022	36	15	on	on	ADP
fcis-2022	36	16	the	the	DET
fcis-2022	36	17	l1	l1	PROPN
fcis-2022	36	18	/	/	SYM
fcis-2022	36	19	l2	l2	NOUN
fcis-2022	36	20	norm	norm	NOUN
fcis-2022	36	21	.	.	PUNCT
fcis-2022	37	1	𝜌	𝜌	PRON
fcis-2022	37	2	(	(	PUNCT
fcis-2022	37	3	·	·	PUNCT
fcis-2022	37	4	)	)	PUNCT
fcis-2022	37	5	is	be	AUX
fcis-2022	37	6	a	a	DET
fcis-2022	37	7	regularization	regularization	NOUN
fcis-2022	37	8	term	term	NOUN
fcis-2022	37	9	that	that	PRON
fcis-2022	37	10	produces	produce	VERB
fcis-2022	37	11	naturally	naturally	ADV
fcis-2022	37	12	smooth	smooth	ADJ
fcis-2022	37	13	defogging	defogging	NOUN
fcis-2022	37	14	images	image	NOUN
fcis-2022	37	15	,	,	PUNCT
fcis-2022	37	16	where	where	SCONJ
fcis-2022	37	17	tv	tv	NOUN
fcis-2022	37	18	norm	norm	NOUN
fcis-2022	37	19	[	[	X
fcis-2022	37	20	14	14	NUM
fcis-2022	37	21	,	,	PUNCT
fcis-2022	37	22	15	15	NUM
fcis-2022	37	23	]	]	PUNCT
fcis-2022	37	24	and	and	CCONJ
fcis-2022	37	25	dcp	dcp	NOUN
fcis-2022	37	26	prior	prior	ADV
fcis-2022	38	1	[	[	X
fcis-2022	38	2	14	14	NUM
fcis-2022	38	3	,	,	PUNCT
fcis-2022	38	4	15	15	NUM
fcis-2022	38	5	]	]	PUNCT
fcis-2022	38	6	are	be	AUX
fcis-2022	38	7	widely	widely	ADV
fcis-2022	38	8	used	use	VERB
fcis-2022	38	9	for	for	ADP
fcis-2022	38	10	regularization	regularization	NOUN
fcis-2022	38	11	terms	term	NOUN
fcis-2022	38	12	.	.	PUNCT
fcis-2022	39	1	β	β	X
fcis-2022	39	2	is	be	AUX
fcis-2022	39	3	a	a	DET
fcis-2022	39	4	penalty	penalty	NOUN
fcis-2022	39	5	parameter	parameter	NOUN
fcis-2022	39	6	used	use	VERB
fcis-2022	39	7	to	to	PART
fcis-2022	39	8	balance	balance	VERB
fcis-2022	39	9	the	the	DET
fcis-2022	39	10	data	datum	NOUN
fcis-2022	39	11	fidelity	fidelity	NOUN
fcis-2022	39	12	and	and	CCONJ
fcis-2022	39	13	regularization	regularization	NOUN
fcis-2022	39	14	terms	term	NOUN
fcis-2022	39	15	.	.	PUNCT
fcis-2022	40	1	figure	figure	NOUN
fcis-2022	40	2	1	1	NUM
fcis-2022	40	3	.	.	PUNCT
fcis-2022	41	1	the	the	DET
fcis-2022	41	2	network	network	NOUN
fcis-2022	41	3	structure	structure	NOUN
fcis-2022	41	4	diagram	diagram	NOUN
fcis-2022	41	5	of	of	ADP
fcis-2022	41	6	the	the	DET
fcis-2022	41	7	algorithm	algorithm	NOUN
fcis-2022	41	8	in	in	ADP
fcis-2022	41	9	this	this	DET
fcis-2022	41	10	paper	paper	NOUN
fcis-2022	41	11	2.2	2.2	NUM
fcis-2022	41	12	.	.	PUNCT
fcis-2022	42	1	loss	loss	NOUN
fcis-2022	42	2	function	function	NOUN
fcis-2022	42	3	in	in	ADP
fcis-2022	42	4	this	this	DET
fcis-2022	42	5	paper	paper	NOUN
fcis-2022	42	6	,	,	PUNCT
fcis-2022	42	7	ssim	ssim	NOUN
fcis-2022	42	8	loss	loss	NOUN
fcis-2022	42	9	and	and	CCONJ
fcis-2022	42	10	smooth	smooth	ADJ
fcis-2022	42	11	l1	l1	PROPN
fcis-2022	42	12	loss	loss	NOUN
fcis-2022	42	13	are	be	AUX
fcis-2022	42	14	used	use	VERB
fcis-2022	42	15	to	to	PART
fcis-2022	42	16	effectively	effectively	ADV
fcis-2022	42	17	restore	restore	VERB
fcis-2022	42	18	low	low	ADJ
fcis-2022	42	19	-	-	PUNCT
fcis-2022	42	20	light	light	NOUN
fcis-2022	42	21	images	image	NOUN
fcis-2022	42	22	.	.	PUNCT
fcis-2022	43	1	as	as	SCONJ
fcis-2022	43	2	ssim	ssim	NOUN
fcis-2022	43	3	refers	refer	VERB
fcis-2022	43	4	to	to	ADP
fcis-2022	43	5	the	the	DET
fcis-2022	43	6	overall	overall	ADJ
fcis-2022	43	7	visual	visual	ADJ
fcis-2022	43	8	effect	effect	NOUN
fcis-2022	43	9	,	,	PUNCT
fcis-2022	43	10	it	it	PRON
fcis-2022	43	11	measures	measure	VERB
fcis-2022	43	12	the	the	DET
fcis-2022	43	13	difference	difference	NOUN
fcis-2022	43	14	between	between	ADP
fcis-2022	43	15	the	the	DET
fcis-2022	43	16	original	original	ADJ
fcis-2022	43	17	and	and	CCONJ
fcis-2022	43	18	enhanced	enhanced	ADJ
fcis-2022	43	19	images	image	NOUN
fcis-2022	43	20	for	for	ADP
fcis-2022	43	21	the	the	DET
fcis-2022	43	22	purpose	purpose	NOUN
fcis-2022	43	23	of	of	ADP
fcis-2022	43	24	improving	improve	VERB
fcis-2022	43	25	their	their	PRON
fcis-2022	43	26	quality	quality	NOUN
fcis-2022	43	27	.	.	PUNCT
fcis-2022	44	1	𝐿𝑆𝑆𝐼𝑀	𝐿𝑆𝑆𝐼𝑀	PROPN
fcis-2022	44	2	=	=	PUNCT
fcis-2022	45	1	1	1	NUM
fcis-2022	45	2	−	−	NUM
fcis-2022	45	3	∑	∑	PUNCT
fcis-2022	45	4	2𝜇𝑥𝜇𝑦+𝐶1	2𝜇𝑥𝜇𝑦+𝐶1	PROPN
fcis-2022	45	5	𝜇𝑥2+𝜇𝑦2+𝐶1	𝜇𝑥2+𝜇𝑦2+𝐶1	PROPN
fcis-2022	45	6	⋅	⋅	PROPN
fcis-2022	45	7	2𝜎𝑥𝑦+𝐶2	2𝜎𝑥𝑦+𝐶2	NUM
fcis-2022	45	8	𝜎𝑥2+𝜎𝑦2+𝐶2	𝜎𝑥2+𝜎𝑦2+𝐶2	NUM
fcis-2022	45	9	𝑀	𝑀	PROPN
fcis-2022	45	10	𝑚=1	𝑚=1	X
fcis-2022	45	11	(	(	PUNCT
fcis-2022	45	12	2	2	X
fcis-2022	45	13	)	)	PUNCT
fcis-2022	45	14	smooth	smooth	ADJ
fcis-2022	45	15	l1	l1	PROPN
fcis-2022	45	16	loss	loss	NOUN
fcis-2022	45	17	can	can	AUX
fcis-2022	45	18	limit	limit	VERB
fcis-2022	45	19	the	the	DET
fcis-2022	45	20	gradient	gradient	NOUN
fcis-2022	45	21	in	in	ADP
fcis-2022	45	22	two	two	NUM
fcis-2022	45	23	ways	way	NOUN
fcis-2022	45	24	:	:	PUNCT
fcis-2022	45	25	the	the	DET
fcis-2022	45	26	gradient	gradient	ADJ
fcis-2022	45	27	value	value	NOUN
fcis-2022	45	28	is	be	AUX
fcis-2022	45	29	not	not	PART
fcis-2022	45	30	too	too	ADV
fcis-2022	45	31	large	large	ADJ
fcis-2022	45	32	when	when	SCONJ
fcis-2022	45	33	the	the	DET
fcis-2022	45	34	difference	difference	NOUN
fcis-2022	45	35	between	between	ADP
fcis-2022	45	36	the	the	DET
fcis-2022	45	37	prediction	prediction	NOUN
fcis-2022	45	38	frame	frame	NOUN
fcis-2022	45	39	and	and	CCONJ
fcis-2022	45	40	the	the	DET
fcis-2022	45	41	ground	ground	NOUN
fcis-2022	45	42	truth	truth	NOUN
fcis-2022	45	43	is	be	AUX
fcis-2022	45	44	too	too	ADV
fcis-2022	45	45	large	large	ADJ
fcis-2022	45	46	.	.	PUNCT
fcis-2022	46	1	the	the	DET
fcis-2022	46	2	gradient	gradient	ADJ
fcis-2022	46	3	value	value	NOUN
fcis-2022	46	4	is	be	AUX
fcis-2022	46	5	small	small	ADJ
fcis-2022	46	6	enough	enough	ADV
fcis-2022	46	7	when	when	SCONJ
fcis-2022	46	8	the	the	DET
fcis-2022	46	9	difference	difference	NOUN
fcis-2022	46	10	between	between	ADP
fcis-2022	46	11	the	the	DET
fcis-2022	46	12	prediction	prediction	NOUN
fcis-2022	46	13	frame	frame	NOUN
fcis-2022	46	14	and	and	CCONJ
fcis-2022	46	15	ground	ground	NOUN
fcis-2022	46	16	truth	truth	NOUN
fcis-2022	46	17	is	be	AUX
fcis-2022	46	18	small	small	ADJ
fcis-2022	46	19	.	.	PUNCT
fcis-2022	47	1	𝐿	𝐿	NOUN
fcis-2022	47	2	smooth𝐿1	smooth𝐿1	NOUN
fcis-2022	47	3	=	=	NOUN
fcis-2022	47	4	{	{	PUNCT
fcis-2022	47	5	1	1	NUM
fcis-2022	47	6	𝑁	𝑁	PROPN
fcis-2022	47	7	∑	∑	PUNCT
fcis-2022	47	8	||𝑥	||𝑥	NOUN
fcis-2022	47	9	,	,	PUNCT
fcis-2022	47	10	𝑦||1	𝑦||1	PROPN
fcis-2022	47	11	𝑁	𝑁	PROPN
fcis-2022	47	12	𝑖=1	𝑖=1	PROPN
fcis-2022	47	13	1	1	NUM
fcis-2022	47	14	𝑁	𝑁	PROPN
fcis-2022	47	15	∑	∑	PUNCT
fcis-2022	47	16	||𝑥	||𝑥	NOUN
fcis-2022	47	17	,	,	PUNCT
fcis-2022	47	18	𝑦||2	𝑦||2	PROPN
fcis-2022	47	19	𝑁	𝑁	PROPN
fcis-2022	47	20	𝑖=1	𝑖=1	PROPN
fcis-2022	47	21	(	(	PUNCT
fcis-2022	47	22	3	3	X
fcis-2022	47	23	)	)	PUNCT
fcis-2022	47	24	the	the	DET
fcis-2022	47	25	total	total	ADJ
fcis-2022	47	26	loss	loss	NOUN
fcis-2022	47	27	function	function	NOUN
fcis-2022	47	28	of	of	ADP
fcis-2022	47	29	the	the	DET
fcis-2022	47	30	network	network	NOUN
fcis-2022	47	31	is	be	AUX
fcis-2022	47	32	:	:	PUNCT
fcis-2022	47	33	𝐿	𝐿	PROPN
fcis-2022	47	34	total	total	NOUN
fcis-2022	47	35	=	=	PUNCT
fcis-2022	47	36	𝐿𝑆𝑆𝐼𝑀	𝐿𝑆𝑆𝐼𝑀	PROPN
fcis-2022	47	37	+	+	CCONJ
fcis-2022	47	38	𝐿𝑠𝑚𝑜𝑜𝑡ℎ𝐿1	𝐿𝑠𝑚𝑜𝑜𝑡ℎ𝐿1	NOUN
fcis-2022	47	39	(	(	PUNCT
fcis-2022	47	40	4	4	NUM
fcis-2022	47	41	)	)	PUNCT
fcis-2022	47	42	3	3	NUM
fcis-2022	47	43	.	.	PUNCT
fcis-2022	47	44	experiments	experiment	NOUN
fcis-2022	47	45	and	and	CCONJ
fcis-2022	47	46	results	result	VERB
fcis-2022	47	47	analysis	analysis	NOUN
fcis-2022	47	48	3.1	3.1	NUM
fcis-2022	47	49	.	.	PUNCT
fcis-2022	48	1	experimental	experimental	ADJ
fcis-2022	48	2	details	detail	NOUN
fcis-2022	48	3	the	the	DET
fcis-2022	48	4	experiment	experiment	NOUN
fcis-2022	48	5	was	be	AUX
fcis-2022	48	6	conducted	conduct	VERB
fcis-2022	48	7	on	on	ADP
fcis-2022	48	8	ubuntu	ubuntu	ADJ
fcis-2022	48	9	20.04.3	20.04.3	NUM
fcis-2022	48	10	with	with	ADP
fcis-2022	48	11	a	a	DET
fcis-2022	48	12	nvidia	nvidia	PROPN
fcis-2022	48	13	rtx	rtx	PROPN
fcis-2022	48	14	3090	3090	NUM
fcis-2022	48	15	24gb×2	24gb×2	NUM
fcis-2022	48	16	.	.	PUNCT
fcis-2022	49	1	pytorch	pytorch	NOUN
fcis-2022	49	2	-	-	PUNCT
fcis-2022	49	3	gpu	gpu	NOUN
fcis-2022	49	4	is	be	AUX
fcis-2022	49	5	used	use	VERB
fcis-2022	49	6	for	for	ADP
fcis-2022	49	7	the	the	DET
fcis-2022	49	8	deep	deep	ADJ
fcis-2022	49	9	learning	learning	NOUN
fcis-2022	49	10	architecture	architecture	NOUN
fcis-2022	49	11	,	,	PUNCT
fcis-2022	49	12	epochs	epoch	NOUN
fcis-2022	49	13	are	be	AUX
fcis-2022	49	14	150	150	NUM
fcis-2022	49	15	,	,	PUNCT
fcis-2022	49	16	and	and	CCONJ
fcis-2022	49	17	batch	batch	NOUN
fcis-2022	49	18	size	size	NOUN
fcis-2022	49	19	is	be	AUX
fcis-2022	49	20	8	8	NUM
fcis-2022	49	21	.	.	PUNCT
fcis-2022	50	1	the	the	DET
fcis-2022	50	2	models	model	NOUN
fcis-2022	50	3	are	be	AUX
fcis-2022	50	4	all	all	PRON
fcis-2022	50	5	optimized	optimize	VERB
fcis-2022	50	6	using	use	VERB
fcis-2022	50	7	the	the	DET
fcis-2022	50	8	adam	adam	PROPN
fcis-2022	50	9	optimizer	optimizer	NOUN
fcis-2022	50	10	with	with	ADP
fcis-2022	50	11	an	an	DET
fcis-2022	50	12	initial	initial	ADJ
fcis-2022	50	13	learning	learning	NOUN
fcis-2022	50	14	rate	rate	NOUN
fcis-2022	50	15	of	of	ADP
fcis-2022	50	16	0.0005	0.0005	NUM
fcis-2022	50	17	.	.	PUNCT
fcis-2022	51	1	the	the	DET
fcis-2022	51	2	lol	lol	ADJ
fcis-2022	51	3	dataset	dataset	NOUN
fcis-2022	51	4	is	be	AUX
fcis-2022	51	5	the	the	DET
fcis-2022	51	6	training	training	NOUN
fcis-2022	51	7	set	set	VERB
fcis-2022	51	8	for	for	ADP
fcis-2022	51	9	the	the	DET
fcis-2022	51	10	experiment	experiment	NOUN
fcis-2022	51	11	.	.	PUNCT
fcis-2022	52	1	a	a	DET
fcis-2022	52	2	dataset	dataset	NOUN
fcis-2022	52	3	containing	contain	VERB
fcis-2022	52	4	1000	1000	NUM
fcis-2022	52	5	low	low	ADJ
fcis-2022	52	6	-	-	PUNCT
fcis-2022	52	7	light	light	NOUN
fcis-2022	52	8	and	and	CCONJ
fcis-2022	52	9	normal	normal	ADJ
fcis-2022	52	10	exposure	exposure	NOUN
fcis-2022	52	11	pairs	pair	NOUN
fcis-2022	52	12	with	with	ADP
fcis-2022	52	13	an	an	DET
fcis-2022	52	14	image	image	NOUN
fcis-2022	52	15	size	size	NOUN
fcis-2022	52	16	of	of	ADP
fcis-2022	52	17	400x400x3	400x400x3	PROPN
fcis-2022	52	18	,	,	PUNCT
fcis-2022	52	19	and	and	CCONJ
fcis-2022	52	20	985	985	NUM
fcis-2022	52	21	pairs	pair	NOUN
fcis-2022	52	22	are	be	AUX
fcis-2022	52	23	used	use	VERB
fcis-2022	52	24	in	in	ADP
fcis-2022	52	25	training	training	NOUN
fcis-2022	52	26	and	and	CCONJ
fcis-2022	52	27	15	15	NUM
fcis-2022	52	28	pairs	pair	NOUN
fcis-2022	52	29	for	for	ADP
fcis-2022	52	30	validation	validation	NOUN
fcis-2022	52	31	is	be	AUX
fcis-2022	52	32	included	include	VERB
fcis-2022	52	33	.	.	PUNCT
fcis-2022	53	1	it	it	PRON
fcis-2022	53	2	consists	consist	VERB
fcis-2022	53	3	of	of	ADP
fcis-2022	53	4	the	the	DET
fcis-2022	53	5	evaluation	evaluation	NOUN
fcis-2022	53	6	sets	set	NOUN
fcis-2022	53	7	of	of	ADP
fcis-2022	53	8	lol	lol	ADJ
fcis-2022	53	9	and	and	CCONJ
fcis-2022	53	10	sice	sice	ADV
fcis-2022	53	11	,	,	PUNCT
fcis-2022	53	12	as	as	ADV
fcis-2022	53	13	well	well	ADV
fcis-2022	53	14	as	as	ADP
fcis-2022	53	15	the	the	DET
fcis-2022	53	16	data	data	NOUN
fcis-2022	53	17	sets	set	NOUN
fcis-2022	53	18	of	of	ADP
fcis-2022	53	19	exrdark[16	exrdark[16	PROPN
fcis-2022	53	20	]	]	PUNCT
fcis-2022	53	21	,	,	PUNCT
fcis-2022	53	22	dicm[17	dicm[17	PROPN
fcis-2022	53	23	]	]	X
fcis-2022	53	24	,	,	PUNCT
fcis-2022	53	25	vv[18	vv[18	PROPN
fcis-2022	53	26	]	]	X
fcis-2022	53	27	,	,	PUNCT
fcis-2022	53	28	npe[19	npe[19	PROPN
fcis-2022	53	29	]	]	X
fcis-2022	53	30	,	,	PUNCT
fcis-2022	53	31	mef[20	mef[20	PROPN
fcis-2022	53	32	]	]	PUNCT
fcis-2022	53	33	and	and	CCONJ
fcis-2022	53	34	lime[6	lime[6	PROPN
fcis-2022	53	35	]	]	PUNCT
fcis-2022	53	36	.	.	PUNCT
fcis-2022	54	1	peak	peak	NOUN
fcis-2022	54	2	signal	signal	NOUN
fcis-2022	54	3	-	-	PUNCT
fcis-2022	54	4	to	to	ADP
fcis-2022	54	5	-	-	PUNCT
fcis-2022	54	6	noise	noise	NOUN
fcis-2022	54	7	ratio	ratio	NOUN
fcis-2022	54	8	(	(	PUNCT
fcis-2022	54	9	psnr	psnr	NOUN
fcis-2022	54	10	)	)	PUNCT
fcis-2022	54	11	,	,	PUNCT
fcis-2022	54	12	structural	structural	ADJ
fcis-2022	54	13	similarity	similarity	NOUN
fcis-2022	54	14	(	(	PUNCT
fcis-2022	54	15	ssim	ssim	NOUN
fcis-2022	54	16	)	)	PUNCT
fcis-2022	54	17	,	,	PUNCT
fcis-2022	54	18	natural	natural	ADJ
fcis-2022	54	19	image	image	NOUN
fcis-2022	54	20	quality	quality	NOUN
fcis-2022	54	21	evaluation	evaluation	NOUN
fcis-2022	54	22	(	(	PUNCT
fcis-2022	54	23	niqe	niqe	NOUN
fcis-2022	54	24	)	)	PUNCT
fcis-2022	54	25	and	and	CCONJ
fcis-2022	54	26	root	root	NOUN
fcis-2022	54	27	mean	mean	NOUN
fcis-2022	54	28	square	square	ADJ
fcis-2022	54	29	error	error	NOUN
fcis-2022	54	30	(	(	PUNCT
fcis-2022	54	31	rmse	rmse	NOUN
fcis-2022	54	32	)	)	PUNCT
fcis-2022	54	33	are	be	AUX
fcis-2022	54	34	used	use	VERB
fcis-2022	54	35	as	as	ADP
fcis-2022	54	36	objective	objective	ADJ
fcis-2022	54	37	evaluation	evaluation	NOUN
fcis-2022	54	38	indicators	indicator	NOUN
fcis-2022	54	39	.	.	PUNCT
fcis-2022	55	1	psnr	psnr	NOUN
fcis-2022	55	2	and	and	CCONJ
fcis-2022	55	3	ssim	ssim	NOUN
fcis-2022	55	4	values	value	NOUN
fcis-2022	55	5	are	be	AUX
fcis-2022	55	6	higher	high	ADJ
fcis-2022	55	7	when	when	SCONJ
fcis-2022	55	8	the	the	DET
fcis-2022	55	9	enhanced	enhanced	ADJ
fcis-2022	55	10	image	image	NOUN
fcis-2022	55	11	is	be	AUX
fcis-2022	55	12	better	well	ADJ
fcis-2022	55	13	.	.	PUNCT
fcis-2022	56	1	an	an	DET
fcis-2022	56	2	enhanced	enhance	VERB
fcis-2022	56	3	image	image	NOUN
fcis-2022	56	4	is	be	AUX
fcis-2022	56	5	of	of	ADP
fcis-2022	56	6	higher	high	ADJ
fcis-2022	56	7	quality	quality	NOUN
fcis-2022	56	8	if	if	SCONJ
fcis-2022	56	9	the	the	DET
fcis-2022	56	10	niqe	niqe	NOUN
fcis-2022	56	11	and	and	CCONJ
fcis-2022	56	12	rmse	rmse	ADJ
fcis-2022	56	13	values	value	NOUN
fcis-2022	56	14	are	be	AUX
fcis-2022	56	15	low	low	ADJ
fcis-2022	56	16	.	.	PUNCT
fcis-2022	57	1	there	there	PRON
fcis-2022	57	2	are	be	VERB
fcis-2022	57	3	8	8	NUM
fcis-2022	57	4	mainstream	mainstream	ADJ
fcis-2022	57	5	low	low	ADJ
fcis-2022	57	6	-	-	PUNCT
fcis-2022	57	7	light	light	NOUN
fcis-2022	57	8	enhancement	enhancement	NOUN
fcis-2022	57	9	algorithms	algorithm	NOUN
fcis-2022	57	10	in	in	ADP
fcis-2022	57	11	the	the	DET
fcis-2022	57	12	current	current	ADJ
fcis-2022	57	13	research	research	NOUN
fcis-2022	57	14	field	field	NOUN
fcis-2022	57	15	:	:	PUNCT
fcis-2022	57	16	lime	lime	NOUN
fcis-2022	57	17	,	,	PUNCT
fcis-2022	57	18	bimef	bimef	PROPN
fcis-2022	57	19	,	,	PUNCT
fcis-2022	57	20	retinexnet	retinexnet	NOUN
fcis-2022	57	21	,	,	PUNCT
fcis-2022	57	22	sdd	sdd	NOUN
fcis-2022	57	23	,	,	PUNCT
fcis-2022	57	24	csdgan	csdgan	NOUN
fcis-2022	57	25	,	,	PUNCT
fcis-2022	57	26	ruas	ruas	PROPN
fcis-2022	57	27	,	,	PUNCT
fcis-2022	57	28	kind++	kind++	ADJ
fcis-2022	57	29	,	,	PUNCT
fcis-2022	57	30	enlightengan	enlightengan	NOUN
fcis-2022	57	31	.	.	PUNCT
fcis-2022	58	1	images	image	NOUN
fcis-2022	58	2	are	be	AUX
fcis-2022	58	3	tested	test	VERB
fcis-2022	58	4	using	use	VERB
fcis-2022	58	5	models	model	NOUN
fcis-2022	58	6	or	or	CCONJ
fcis-2022	58	7	source	source	NOUN
fcis-2022	58	8	code	code	NOUN
fcis-2022	58	9	from	from	ADP
fcis-2022	58	10	the	the	DET
fcis-2022	58	11	original	original	ADJ
fcis-2022	58	12	literature	literature	NOUN
fcis-2022	58	13	.	.	PUNCT
fcis-2022	59	1	3.2	3.2	NUM
fcis-2022	59	2	.	.	PUNCT
fcis-2022	60	1	comparison	comparison	NOUN
fcis-2022	60	2	experiment	experiment	NOUN
fcis-2022	60	3	the	the	DET
fcis-2022	60	4	results	result	NOUN
fcis-2022	60	5	of	of	ADP
fcis-2022	60	6	the	the	DET
fcis-2022	60	7	reference	reference	NOUN
fcis-2022	60	8	lol	lol	VERB
fcis-2022	60	9	and	and	CCONJ
fcis-2022	60	10	sice	sice	ADV
fcis-2022	60	11	datasets	dataset	NOUN
fcis-2022	60	12	are	be	AUX
fcis-2022	60	13	shown	show	VERB
fcis-2022	60	14	in	in	ADP
fcis-2022	60	15	table	table	NOUN
fcis-2022	60	16	1	1	NUM
fcis-2022	60	17	.	.	PUNCT
fcis-2022	61	1	in	in	ADP
fcis-2022	61	2	both	both	CCONJ
fcis-2022	61	3	psnr	psnr	NOUN
fcis-2022	61	4	and	and	CCONJ
fcis-2022	61	5	ssim	ssim	NOUN
fcis-2022	61	6	metrics	metric	NOUN
fcis-2022	61	7	,	,	PUNCT
fcis-2022	61	8	this	this	DET
fcis-2022	61	9	algorithm	algorithm	NOUN
fcis-2022	61	10	achieves	achieve	VERB
fcis-2022	61	11	the	the	DET
fcis-2022	61	12	best	good	ADJ
fcis-2022	61	13	results	result	NOUN
fcis-2022	61	14	,	,	PUNCT
fcis-2022	61	15	and	and	CCONJ
fcis-2022	61	16	in	in	ADP
fcis-2022	61	17	loe	loe	NOUN
fcis-2022	61	18	metrics	metric	NOUN
fcis-2022	61	19	,	,	PUNCT
fcis-2022	61	20	it	it	PRON
fcis-2022	61	21	holds	hold	VERB
fcis-2022	61	22	the	the	DET
fcis-2022	61	23	second	second	ADJ
fcis-2022	61	24	place	place	NOUN
fcis-2022	61	25	,	,	PUNCT
fcis-2022	61	26	indicating	indicate	VERB
fcis-2022	61	27	that	that	SCONJ
fcis-2022	61	28	this	this	DET
fcis-2022	61	29	algorithm	algorithm	NOUN
fcis-2022	61	30	significantly	significantly	ADV
fcis-2022	61	31	enhances	enhance	VERB
fcis-2022	61	32	the	the	DET
fcis-2022	61	33	quality	quality	NOUN
fcis-2022	61	34	of	of	ADP
fcis-2022	61	35	low	low	ADJ
fcis-2022	61	36	-	-	PUNCT
fcis-2022	61	37	light	light	NOUN
fcis-2022	61	38	images	image	NOUN
fcis-2022	61	39	.	.	PUNCT
fcis-2022	62	1	table	table	NOUN
fcis-2022	62	2	2	2	NUM
fcis-2022	62	3	shows	show	VERB
fcis-2022	62	4	the	the	DET
fcis-2022	62	5	results	result	NOUN
fcis-2022	62	6	of	of	ADP
fcis-2022	62	7	niqe	niqe	NOUN
fcis-2022	62	8	metrics	metric	NOUN
fcis-2022	62	9	on	on	ADP
fcis-2022	62	10	6	6	NUM
fcis-2022	62	11	datasets	dataset	NOUN
fcis-2022	62	12	.	.	PUNCT
fcis-2022	63	1	despite	despite	SCONJ
fcis-2022	63	2	not	not	PART
fcis-2022	63	3	achieving	achieve	VERB
fcis-2022	63	4	the	the	DET
fcis-2022	63	5	optimal	optimal	ADJ
fcis-2022	63	6	results	result	NOUN
fcis-2022	63	7	on	on	ADP
fcis-2022	63	8	all	all	DET
fcis-2022	63	9	datasets	dataset	NOUN
fcis-2022	63	10	,	,	PUNCT
fcis-2022	63	11	the	the	DET
fcis-2022	63	12	algorithm	algorithm	NOUN
fcis-2022	63	13	in	in	ADP
fcis-2022	63	14	this	this	DET
fcis-2022	63	15	paper	paper	NOUN
fcis-2022	63	16	has	have	VERB
fcis-2022	63	17	a	a	DET
fcis-2022	63	18	high	high	ADJ
fcis-2022	63	19	advantage	advantage	NOUN
fcis-2022	63	20	on	on	ADP
fcis-2022	63	21	average	average	ADJ
fcis-2022	63	22	and	and	CCONJ
fcis-2022	63	23	does	do	AUX
fcis-2022	63	24	achieve	achieve	VERB
fcis-2022	63	25	the	the	DET
fcis-2022	63	26	optimal	optimal	ADJ
fcis-2022	63	27	results	result	NOUN
fcis-2022	63	28	on	on	ADP
fcis-2022	63	29	most	most	ADJ
fcis-2022	63	30	datasets	dataset	NOUN
fcis-2022	63	31	.	.	PUNCT
fcis-2022	64	1	figure	figure	NOUN
fcis-2022	64	2	2	2	NUM
fcis-2022	64	3	is	be	AUX
fcis-2022	64	4	a	a	DET
fcis-2022	64	5	comparison	comparison	NOUN
fcis-2022	64	6	chart	chart	NOUN
fcis-2022	64	7	of	of	ADP
fcis-2022	64	8	the	the	DET
fcis-2022	64	9	enhancement	enhancement	NOUN
fcis-2022	64	10	effect	effect	NOUN
fcis-2022	64	11	on	on	ADP
fcis-2022	64	12	4	4	NUM
fcis-2022	64	13	datasets	dataset	NOUN
fcis-2022	64	14	,	,	PUNCT
fcis-2022	64	15	and	and	CCONJ
fcis-2022	64	16	it	it	PRON
fcis-2022	64	17	can	can	AUX
fcis-2022	64	18	be	be	AUX
fcis-2022	64	19	seen	see	VERB
fcis-2022	64	20	that	that	SCONJ
fcis-2022	64	21	the	the	DET
fcis-2022	64	22	image	image	NOUN
fcis-2022	64	23	color	color	NOUN
fcis-2022	64	24	saturation	saturation	NOUN
fcis-2022	64	25	after	after	ADP
fcis-2022	64	26	the	the	DET
fcis-2022	64	27	enhancement	enhancement	NOUN
fcis-2022	64	28	of	of	ADP
fcis-2022	64	29	this	this	DET
fcis-2022	64	30	method	method	NOUN
fcis-2022	64	31	is	be	AUX
fcis-2022	64	32	high	high	ADJ
fcis-2022	64	33	,	,	PUNCT
fcis-2022	64	34	there	there	PRON
fcis-2022	64	35	is	be	VERB
fcis-2022	64	36	no	no	DET
fcis-2022	64	37	obvious	obvious	ADJ
fcis-2022	64	38	noise	noise	NOUN
fcis-2022	64	39	and	and	CCONJ
fcis-2022	64	40	artifacts	artifact	NOUN
fcis-2022	64	41	,	,	PUNCT
fcis-2022	64	42	and	and	CCONJ
fcis-2022	64	43	it	it	PRON
fcis-2022	64	44	has	have	VERB
fcis-2022	64	45	a	a	DET
fcis-2022	64	46	rich	rich	ADJ
fcis-2022	64	47	detail	detail	NOUN
fcis-2022	64	48	texture	texture	NOUN
fcis-2022	64	49	.	.	PUNCT
fcis-2022	65	1	mbllen	mbllen	ADJ
fcis-2022	65	2	and	and	CCONJ
fcis-2022	65	3	sdd	sdd	NOUN
fcis-2022	65	4	methods	method	NOUN
fcis-2022	65	5	have	have	VERB
fcis-2022	65	6	the	the	DET
fcis-2022	65	7	phenomenon	phenomenon	NOUN
fcis-2022	65	8	of	of	ADP
fcis-2022	65	9	poor	poor	ADJ
fcis-2022	65	10	brightness	brightness	NOUN
fcis-2022	65	11	,	,	PUNCT
fcis-2022	65	12	low	low	ADJ
fcis-2022	65	13	saturation	saturation	NOUN
fcis-2022	65	14	and	and	CCONJ
fcis-2022	65	15	blur	blur	NOUN
fcis-2022	65	16	of	of	ADP
fcis-2022	65	17	the	the	DET
fcis-2022	65	18	enhanced	enhanced	ADJ
fcis-2022	65	19	image	image	NOUN
fcis-2022	65	20	.	.	PUNCT
fcis-2022	66	1	the	the	DET
fcis-2022	66	2	image	image	NOUN
fcis-2022	66	3	enhanced	enhance	VERB
fcis-2022	66	4	by	by	ADP
fcis-2022	66	5	the	the	DET
fcis-2022	66	6	retinex	retinex	ADJ
fcis-2022	66	7	-	-	PUNCT
fcis-2022	66	8	net	net	NOUN
fcis-2022	66	9	method	method	NOUN
fcis-2022	66	10	has	have	VERB
fcis-2022	66	11	obvious	obvious	ADJ
fcis-2022	66	12	color	color	NOUN
fcis-2022	66	13	distortion	distortion	NOUN
fcis-2022	66	14	problems	problem	NOUN
fcis-2022	66	15	,	,	PUNCT
fcis-2022	66	16	resulting	result	VERB
fcis-2022	66	17	in	in	ADP
fcis-2022	66	18	blurring	blurring	NOUN
fcis-2022	66	19	of	of	ADP
fcis-2022	66	20	some	some	DET
fcis-2022	66	21	areas	area	NOUN
fcis-2022	66	22	in	in	ADP
fcis-2022	66	23	the	the	DET
fcis-2022	66	24	graph	graph	NOUN
fcis-2022	66	25	and	and	CCONJ
fcis-2022	66	26	amplifying	amplify	VERB
fcis-2022	66	27	the	the	DET
fcis-2022	66	28	noise	noise	NOUN
fcis-2022	66	29	in	in	ADP
fcis-2022	66	30	the	the	DET
fcis-2022	66	31	image	image	NOUN
fcis-2022	66	32	;	;	PUNCT
fcis-2022	66	33	the	the	DET
fcis-2022	66	34	enlightengan	enlightengan	NOUN
fcis-2022	66	35	method	method	NOUN
fcis-2022	66	36	has	have	VERB
fcis-2022	66	37	a	a	DET
fcis-2022	66	38	good	good	ADJ
fcis-2022	66	39	effect	effect	NOUN
fcis-2022	66	40	of	of	ADP
fcis-2022	66	41	enhancement	enhancement	NOUN
fcis-2022	66	42	.	.	PUNCT
fcis-2022	67	1	but	but	CCONJ
fcis-2022	67	2	there	there	PRON
fcis-2022	67	3	will	will	AUX
fcis-2022	67	4	be	be	AUX
fcis-2022	67	5	some	some	DET
fcis-2022	67	6	problems	problem	NOUN
fcis-2022	67	7	of	of	ADP
fcis-2022	67	8	poor	poor	ADJ
fcis-2022	67	9	exposure	exposure	NOUN
fcis-2022	67	10	,	,	PUNCT
fcis-2022	67	11	and	and	CCONJ
fcis-2022	67	12	the	the	DET
fcis-2022	67	13	halo	halo	NOUN
fcis-2022	67	14	problem	problem	NOUN
fcis-2022	67	15	is	be	AUX
fcis-2022	67	16	more	more	ADV
fcis-2022	67	17	serious	serious	ADJ
fcis-2022	67	18	;	;	PUNCT
fcis-2022	67	19	kinder++	kinder++	NOUN
fcis-2022	67	20	has	have	AUX
fcis-2022	67	21	improved	improve	VERB
fcis-2022	67	22	on	on	ADP
fcis-2022	67	23	color	color	NOUN
fcis-2022	67	24	distortion	distortion	NOUN
fcis-2022	67	25	,	,	PUNCT
fcis-2022	67	26	but	but	CCONJ
fcis-2022	67	27	there	there	PRON
fcis-2022	67	28	is	be	VERB
fcis-2022	67	29	still	still	ADV
fcis-2022	67	30	a	a	DET
fcis-2022	67	31	problem	problem	NOUN
fcis-2022	67	32	that	that	SCONJ
fcis-2022	67	33	the	the	DET
fcis-2022	67	34	enhanced	enhanced	ADJ
fcis-2022	67	35	image	image	NOUN
fcis-2022	67	36	is	be	AUX
fcis-2022	67	37	not	not	PART
fcis-2022	67	38	realistic	realistic	ADJ
fcis-2022	67	39	and	and	CCONJ
fcis-2022	67	40	will	will	AUX
fcis-2022	67	41	amplify	amplify	VERB
fcis-2022	67	42	the	the	DET
fcis-2022	67	43	noise	noise	NOUN
fcis-2022	67	44	in	in	ADP
fcis-2022	67	45	local	local	ADJ
fcis-2022	67	46	areas	area	NOUN
fcis-2022	67	47	.	.	PUNCT
fcis-2022	68	1	in	in	ADP
fcis-2022	68	2	summary	summary	NOUN
fcis-2022	68	3	,	,	PUNCT
fcis-2022	68	4	our	our	PRON
fcis-2022	68	5	model	model	NOUN
fcis-2022	68	6	has	have	AUX
fcis-2022	68	7	achieved	achieve	VERB
fcis-2022	68	8	excellent	excellent	ADJ
fcis-2022	68	9	performance	performance	NOUN
fcis-2022	68	10	in	in	ADP
fcis-2022	68	11	the	the	DET
fcis-2022	68	12	comprehensive	comprehensive	ADJ
fcis-2022	68	13	performance	performance	NOUN
fcis-2022	68	14	of	of	ADP
fcis-2022	68	15	multi	multi	ADJ
fcis-2022	68	16	-	-	ADJ
fcis-2022	68	17	objective	objective	ADJ
fcis-2022	68	18	enhancement	enhancement	NOUN
fcis-2022	68	19	tasks	task	NOUN
fcis-2022	68	20	on	on	ADP
fcis-2022	68	21	the	the	DET
fcis-2022	68	22	test	test	NOUN
fcis-2022	68	23	data	datum	NOUN
fcis-2022	68	24	set	set	VERB
fcis-2022	68	25	,	,	PUNCT
fcis-2022	68	26	which	which	PRON
fcis-2022	68	27	can	can	AUX
fcis-2022	68	28	adaptively	adaptively	ADV
fcis-2022	68	29	increase	increase	VERB
fcis-2022	68	30	the	the	DET
fcis-2022	68	31	global	global	ADJ
fcis-2022	68	32	brightness	brightness	NOUN
fcis-2022	68	33	and	and	CCONJ
fcis-2022	68	34	avoid	avoid	VERB
fcis-2022	68	35	overexposure	overexposure	NOUN
fcis-2022	68	36	;	;	PUNCT
fcis-2022	68	37	can	can	AUX
fcis-2022	68	38	correct	correct	VERB
fcis-2022	68	39	the	the	DET
fcis-2022	68	40	color	color	NOUN
fcis-2022	68	41	distortion	distortion	NOUN
fcis-2022	68	42	in	in	ADP
fcis-2022	68	43	low	low	ADJ
fcis-2022	68	44	-	-	PUNCT
fcis-2022	68	45	light	light	NOUN
fcis-2022	68	46	images	image	NOUN
fcis-2022	68	47	,	,	PUNCT
fcis-2022	68	48	enhance	enhance	VERB
fcis-2022	68	49	the	the	DET
fcis-2022	68	50	27	27	NUM
fcis-2022	68	51	result	result	NOUN
fcis-2022	68	52	of	of	ADP
fcis-2022	68	53	rich	rich	ADJ
fcis-2022	68	54	and	and	CCONJ
fcis-2022	68	55	full	full	ADJ
fcis-2022	68	56	color	color	NOUN
fcis-2022	68	57	,	,	PUNCT
fcis-2022	68	58	and	and	CCONJ
fcis-2022	68	59	the	the	DET
fcis-2022	68	60	visual	visual	ADJ
fcis-2022	68	61	effect	effect	NOUN
fcis-2022	68	62	is	be	AUX
fcis-2022	68	63	better	well	ADJ
fcis-2022	68	64	;	;	PUNCT
fcis-2022	68	65	has	have	VERB
fcis-2022	68	66	generalization	generalization	NOUN
fcis-2022	68	67	enhanced	enhance	VERB
fcis-2022	68	68	for	for	ADP
fcis-2022	68	69	low	low	ADJ
fcis-2022	68	70	-	-	PUNCT
fcis-2022	68	71	light	light	NOUN
fcis-2022	68	72	images	image	NOUN
fcis-2022	68	73	of	of	ADP
fcis-2022	68	74	real	real	ADJ
fcis-2022	68	75	scenes	scene	NOUN
fcis-2022	68	76	.	.	PUNCT
fcis-2022	69	1	table	table	NOUN
fcis-2022	69	2	1	1	NUM
fcis-2022	69	3	.	.	PUNCT
fcis-2022	69	4	comparison	comparison	NOUN
fcis-2022	69	5	of	of	ADP
fcis-2022	69	6	indicators	indicator	NOUN
fcis-2022	69	7	of	of	ADP
fcis-2022	69	8	different	different	ADJ
fcis-2022	69	9	methods	method	NOUN
fcis-2022	69	10	on	on	ADP
fcis-2022	69	11	reference	reference	NOUN
fcis-2022	69	12	datasets	dataset	NOUN
fcis-2022	69	13	(	(	PUNCT
fcis-2022	69	14	where	where	SCONJ
fcis-2022	69	15	means	mean	VERB
fcis-2022	69	16	higher	high	ADJ
fcis-2022	69	17	value	value	NOUN
fcis-2022	69	18	is	be	AUX
fcis-2022	69	19	better	well	ADJ
fcis-2022	69	20	,	,	PUNCT
fcis-2022	69	21	means	mean	VERB
fcis-2022	69	22	lower	low	ADJ
fcis-2022	69	23	value	value	NOUN
fcis-2022	69	24	is	be	AUX
fcis-2022	69	25	better	well	ADJ
fcis-2022	69	26	,	,	PUNCT
fcis-2022	69	27	red	red	PROPN
fcis-2022	69	28	means	mean	VERB
fcis-2022	69	29	the	the	DET
fcis-2022	69	30	best	good	ADJ
fcis-2022	69	31	result	result	NOUN
fcis-2022	69	32	,	,	PUNCT
fcis-2022	69	33	blue	blue	ADJ
fcis-2022	69	34	means	mean	VERB
fcis-2022	69	35	the	the	DET
fcis-2022	69	36	second	second	ADV
fcis-2022	69	37	-	-	PUNCT
fcis-2022	69	38	best	good	ADJ
fcis-2022	69	39	result	result	NOUN
fcis-2022	69	40	)	)	PUNCT
fcis-2022	69	41	dataset	dataset	VERB
fcis-2022	69	42	lol	lol	PROPN
fcis-2022	70	1	sice	sice	X
fcis-2022	70	2	metric	metric	ADJ
fcis-2022	70	3	psnr↑	psnr↑	NOUN
fcis-2022	70	4	ssim↑	ssim↑	PROPN
fcis-2022	70	5	rmse↓	rmse↓	PROPN
fcis-2022	70	6	psnr↑	psnr↑	NOUN
fcis-2022	70	7	ssim↑	ssim↑	VERB
fcis-2022	70	8	rmse↓	rmse↓	PROPN
fcis-2022	70	9	lime	lime	NOUN
fcis-2022	70	10	13.374	13.374	NUM
fcis-2022	70	11	0.508	0.508	NUM
fcis-2022	70	12	37.2	37.2	NUM
fcis-2022	70	13	15.798	15.798	NUM
fcis-2022	70	14	0.625	0.625	NUM
fcis-2022	70	15	45.6	45.6	NUM
fcis-2022	70	16	bimef	bimef	NOUN
fcis-2022	70	17	13.921	13.921	NUM
fcis-2022	70	18	0.728	0.728	NUM
fcis-2022	70	19	40.3	40.3	NUM
fcis-2022	70	20	13.544	13.544	NUM
fcis-2022	70	21	0.533	0.533	NUM
fcis-2022	70	22	56.1	56.1	NUM
fcis-2022	70	23	retinexnet	retinexnet	NOUN
fcis-2022	70	24	17.612	17.612	NUM
fcis-2022	70	25	0.653	0.653	NUM
fcis-2022	70	26	34.6	34.6	NUM
fcis-2022	70	27	15.784	15.784	NUM
fcis-2022	70	28	0.616	0.616	NUM
fcis-2022	70	29	41.3	41.3	NUM
fcis-2022	70	30	sdd	sdd	NOUN
fcis-2022	70	31	13.352	13.352	NUM
fcis-2022	70	32	0.640	0.640	NUM
fcis-2022	70	33	60.4	60.4	NUM
fcis-2022	70	34	13.388	13.388	NUM
fcis-2022	70	35	0.533	0.533	NUM
fcis-2022	70	36	59.5	59.5	NUM
fcis-2022	70	37	csdgan	csdgan	NOUN
fcis-2022	70	38	9.111	9.111	NUM
fcis-2022	70	39	0.331	0.331	NUM
fcis-2022	70	40	90.1	90.1	NUM
fcis-2022	70	41	10.464	10.464	NUM
fcis-2022	70	42	0.381	0.381	NUM
fcis-2022	70	43	81.9	81.9	NUM
fcis-2022	70	44	ruas	ruas	PROPN
fcis-2022	70	45	16.532	16.532	NUM
fcis-2022	70	46	0.527	0.527	NUM
fcis-2022	70	47	51.2	51.2	NUM
fcis-2022	70	48	10.578	10.578	NUM
fcis-2022	70	49	0.396	0.396	NUM
fcis-2022	70	50	43.6	43.6	NUM
fcis-2022	70	51	enlightengan	enlightengan	NOUN
fcis-2022	71	1	17.546	17.546	NUM
fcis-2022	71	2	0.664	0.664	NUM
fcis-2022	71	3	38.3	38.3	NUM
fcis-2022	71	4	14.768	14.768	NUM
fcis-2022	71	5	0.611	0.611	NUM
fcis-2022	71	6	50.3	50.3	NUM
fcis-2022	71	7	kind++	kind++	NOUN
fcis-2022	71	8	17.789	17.789	NUM
fcis-2022	71	9	0.766	0.766	NUM
fcis-2022	71	10	34.8	34.8	NUM
fcis-2022	71	11	14.671	14.671	NUM
fcis-2022	71	12	0.513	0.513	NUM
fcis-2022	71	13	49.2	49.2	NUM
fcis-2022	71	14	ours	ours	PRON
fcis-2022	71	15	21.365	21.365	NUM
fcis-2022	71	16	0.793	0.793	NUM
fcis-2022	71	17	20.9	20.9	NUM
fcis-2022	71	18	16.453	16.453	NUM
fcis-2022	71	19	0.664	0.664	NUM
fcis-2022	71	20	42.1	42.1	NUM
fcis-2022	71	21	table	table	NOUN
fcis-2022	71	22	2	2	NUM
fcis-2022	71	23	.	.	PUNCT
fcis-2022	71	24	comparison	comparison	NOUN
fcis-2022	71	25	of	of	ADP
fcis-2022	71	26	niqe	niqe	NOUN
fcis-2022	71	27	indicators	indicator	NOUN
fcis-2022	71	28	of	of	ADP
fcis-2022	71	29	different	different	ADJ
fcis-2022	71	30	methods	method	NOUN
fcis-2022	71	31	(	(	PUNCT
fcis-2022	71	32	↑	↑	PROPN
fcis-2022	71	33	means	mean	VERB
fcis-2022	71	34	higher	high	ADJ
fcis-2022	71	35	value	value	NOUN
fcis-2022	71	36	is	be	AUX
fcis-2022	71	37	better	well	ADJ
fcis-2022	71	38	,	,	PUNCT
fcis-2022	71	39	means	mean	VERB
fcis-2022	71	40	lower	low	ADJ
fcis-2022	71	41	value	value	NOUN
fcis-2022	71	42	is	be	AUX
fcis-2022	71	43	better	well	ADJ
fcis-2022	71	44	,	,	PUNCT
fcis-2022	71	45	red	red	PROPN
fcis-2022	71	46	means	mean	VERB
fcis-2022	71	47	the	the	DET
fcis-2022	71	48	best	good	ADJ
fcis-2022	71	49	result	result	NOUN
fcis-2022	71	50	,	,	PUNCT
fcis-2022	71	51	blue	blue	ADJ
fcis-2022	71	52	means	mean	VERB
fcis-2022	71	53	the	the	DET
fcis-2022	71	54	second	second	ADV
fcis-2022	71	55	-	-	PUNCT
fcis-2022	71	56	best	good	ADJ
fcis-2022	71	57	result	result	NOUN
fcis-2022	71	58	)	)	PUNCT
fcis-2022	71	59	metric	metric	ADJ
fcis-2022	71	60	exrdark	exrdark	NOUN
fcis-2022	71	61	dicm	dicm	ADJ
fcis-2022	71	62	lime	lime	NOUN
fcis-2022	71	63	vv	vv	ADP
fcis-2022	71	64	npe	npe	PROPN
fcis-2022	71	65	mef	mef	PROPN
fcis-2022	71	66	average	average	ADJ
fcis-2022	71	67	lime	lime	NOUN
fcis-2022	71	68	3.855	3.855	NUM
fcis-2022	71	69	3.459	3.459	NUM
fcis-2022	71	70	4.077	4.077	NUM
fcis-2022	71	71	2.920	2.920	NUM
fcis-2022	71	72	3.595	3.595	NUM
fcis-2022	71	73	3.025	3.025	NUM
fcis-2022	71	74	3.489	3.489	NUM
fcis-2022	71	75	bimef	bimef	NOUN
fcis-2022	71	76	3.829	3.829	NUM
fcis-2022	71	77	3.541	3.541	NUM
fcis-2022	71	78	3.861	3.861	NUM
fcis-2022	71	79	3.239	3.239	NUM
fcis-2022	71	80	3.607	3.607	NUM
fcis-2022	71	81	3.333	3.333	NUM
fcis-2022	71	82	3.568	3.568	NUM
fcis-2022	71	83	retinexnet	retinexnet	NOUN
fcis-2022	71	84	4.451	4.451	NUM
fcis-2022	71	85	4.193	4.193	NUM
fcis-2022	71	86	4.825	4.825	NUM
fcis-2022	71	87	2.983	2.983	NUM
fcis-2022	71	88	4.364	4.364	NUM
fcis-2022	71	89	3.982	3.982	NUM
fcis-2022	71	90	4.133	4.133	NUM
fcis-2022	71	91	sdd	sdd	NOUN
fcis-2022	71	92	4.120	4.120	NUM
fcis-2022	71	93	3.937	3.937	NUM
fcis-2022	71	94	4.397	4.397	NUM
fcis-2022	71	95	3.281	3.281	NUM
fcis-2022	71	96	3.701	3.701	NUM
fcis-2022	71	97	3.857	3.857	NUM
fcis-2022	71	98	3.882	3.882	NUM
fcis-2022	71	99	csdgan	csdgan	NOUN
fcis-2022	71	100	5.591	5.591	NUM
fcis-2022	71	101	5.782	5.782	NUM
fcis-2022	71	102	5.730	5.730	NUM
fcis-2022	71	103	4.730	4.730	NUM
fcis-2022	71	104	5.179	5.179	NUM
fcis-2022	71	105	7.338	7.338	NUM
fcis-2022	71	106	5.725	5.725	NUM
fcis-2022	71	107	ruas	ruas	PROPN
fcis-2022	71	108	4.404	4.404	NUM
fcis-2022	71	109	5.204	5.204	NUM
fcis-2022	71	110	5.305	5.305	NUM
fcis-2022	71	111	5.326	5.326	NUM
fcis-2022	71	112	5.380	5.380	NUM
fcis-2022	71	113	5.617	5.617	NUM
fcis-2022	71	114	5.206	5.206	NUM
fcis-2022	71	115	enlightengan	enlightengan	NOUN
fcis-2022	71	116	3.691	3.691	NUM
fcis-2022	71	117	3.563	3.563	NUM
fcis-2022	71	118	3.664	3.664	NUM
fcis-2022	71	119	4.237	4.237	NUM
fcis-2022	71	120	3.731	3.731	NUM
fcis-2022	71	121	3.221	3.221	NUM
fcis-2022	71	122	3.684	3.684	NUM
fcis-2022	71	123	kind++	kind++	NOUN
fcis-2022	71	124	4.110	4.110	NUM
fcis-2022	71	125	3.804	3.804	NUM
fcis-2022	71	126	4.722	4.722	NUM
fcis-2022	71	127	2.806	2.806	NUM
fcis-2022	71	128	3.593	3.593	NUM
fcis-2022	71	129	3.737	3.737	NUM
fcis-2022	71	130	3.795	3.795	NUM
fcis-2022	71	131	ours	ours	PRON
fcis-2022	71	132	3.592	3.592	NUM
fcis-2022	71	133	3.512	3.512	NUM
fcis-2022	71	134	3.763	3.763	NUM
fcis-2022	71	135	3.115	3.115	NUM
fcis-2022	71	136	3.359	3.359	NUM
fcis-2022	71	137	3.391	3.391	NUM
fcis-2022	71	138	3.455	3.455	NUM
fcis-2022	71	139	figure	figure	NOUN
fcis-2022	71	140	2	2	NUM
fcis-2022	71	141	.	.	PUNCT
fcis-2022	71	142	visual	visual	ADJ
fcis-2022	71	143	comparison	comparison	NOUN
fcis-2022	71	144	of	of	ADP
fcis-2022	71	145	different	different	ADJ
fcis-2022	71	146	methods	method	NOUN
fcis-2022	71	147	.	.	PUNCT
fcis-2022	72	1	4	4	X
fcis-2022	72	2	.	.	X
fcis-2022	72	3	conclusion	conclusion	NOUN
fcis-2022	72	4	aiming	aim	VERB
fcis-2022	72	5	at	at	ADP
fcis-2022	72	6	the	the	DET
fcis-2022	72	7	problem	problem	NOUN
fcis-2022	72	8	of	of	ADP
fcis-2022	72	9	low	low	ADJ
fcis-2022	72	10	light	light	ADJ
fcis-2022	72	11	enhancement	enhancement	NOUN
fcis-2022	72	12	,	,	PUNCT
fcis-2022	72	13	this	this	DET
fcis-2022	72	14	paper	paper	NOUN
fcis-2022	72	15	proposes	propose	VERB
fcis-2022	72	16	a	a	DET
fcis-2022	72	17	new	new	ADJ
fcis-2022	72	18	multi	multi	ADJ
fcis-2022	72	19	-	-	ADJ
fcis-2022	72	20	scale	scale	ADJ
fcis-2022	72	21	low	low	ADJ
fcis-2022	72	22	-	-	PUNCT
fcis-2022	72	23	light	light	NOUN
fcis-2022	72	24	image	image	NOUN
fcis-2022	72	25	enhancement	enhancement	NOUN
fcis-2022	72	26	network	network	NOUN
fcis-2022	72	27	with	with	ADP
fcis-2022	72	28	regularized	regularized	ADJ
fcis-2022	72	29	contrast	contrast	NOUN
fcis-2022	72	30	.	.	PUNCT
fcis-2022	73	1	two	two	NUM
fcis-2022	73	2	positive	positive	ADJ
fcis-2022	73	3	and	and	CCONJ
fcis-2022	73	4	negative	negative	ADJ
fcis-2022	73	5	samples	sample	NOUN
fcis-2022	73	6	are	be	AUX
fcis-2022	73	7	used	use	VERB
fcis-2022	73	8	to	to	PART
fcis-2022	73	9	guide	guide	VERB
fcis-2022	73	10	the	the	DET
fcis-2022	73	11	network	network	NOUN
fcis-2022	73	12	in	in	ADP
fcis-2022	73	13	learning	learn	VERB
fcis-2022	73	14	.	.	PUNCT
fcis-2022	74	1	through	through	ADP
fcis-2022	74	2	experimental	experimental	ADJ
fcis-2022	74	3	verification	verification	NOUN
fcis-2022	74	4	,	,	PUNCT
fcis-2022	74	5	the	the	DET
fcis-2022	74	6	proposed	propose	VERB
fcis-2022	74	7	algorithm	algorithm	NOUN
fcis-2022	74	8	is	be	AUX
fcis-2022	74	9	far	far	ADV
fcis-2022	74	10	superior	superior	ADJ
fcis-2022	74	11	to	to	ADP
fcis-2022	74	12	most	most	ADJ
fcis-2022	74	13	existing	exist	VERB
fcis-2022	74	14	low	low	ADJ
fcis-2022	74	15	-	-	PUNCT
fcis-2022	74	16	light	light	NOUN
fcis-2022	74	17	image	image	NOUN
fcis-2022	74	18	enhancement	enhancement	NOUN
fcis-2022	74	19	algorithms	algorithm	NOUN
fcis-2022	74	20	,	,	PUNCT
fcis-2022	74	21	which	which	PRON
fcis-2022	74	22	enhances	enhance	VERB
fcis-2022	74	23	the	the	DET
fcis-2022	74	24	quality	quality	NOUN
fcis-2022	74	25	of	of	ADP
fcis-2022	74	26	low	low	ADJ
fcis-2022	74	27	-	-	PUNCT
fcis-2022	74	28	light	light	NOUN
fcis-2022	74	29	images	image	NOUN
fcis-2022	74	30	and	and	CCONJ
fcis-2022	74	31	provides	provide	VERB
fcis-2022	74	32	data	datum	NOUN
fcis-2022	74	33	for	for	ADP
fcis-2022	74	34	subsequent	subsequent	ADJ
fcis-2022	74	35	high	high	ADJ
fcis-2022	74	36	-	-	PUNCT
fcis-2022	74	37	order	order	NOUN
fcis-2022	74	38	picture	picture	NOUN
fcis-2022	74	39	processing	processing	NOUN
fcis-2022	74	40	tasks	task	NOUN
fcis-2022	74	41	.	.	PUNCT
fcis-2022	75	1	in	in	ADP
fcis-2022	75	2	the	the	DET
fcis-2022	75	3	next	next	ADJ
fcis-2022	75	4	work	work	NOUN
fcis-2022	75	5	,	,	PUNCT
fcis-2022	75	6	we	we	PRON
fcis-2022	75	7	will	will	AUX
fcis-2022	75	8	consider	consider	VERB
fcis-2022	75	9	optimizing	optimize	VERB
fcis-2022	75	10	the	the	DET
fcis-2022	75	11	computing	computing	NOUN
fcis-2022	75	12	performance	performance	NOUN
fcis-2022	75	13	of	of	ADP
fcis-2022	75	14	the	the	DET
fcis-2022	75	15	network	network	NOUN
fcis-2022	75	16	so	so	SCONJ
fcis-2022	75	17	that	that	SCONJ
fcis-2022	75	18	it	it	PRON
fcis-2022	75	19	can	can	AUX
fcis-2022	75	20	be	be	AUX
fcis-2022	75	21	combined	combine	VERB
fcis-2022	75	22	with	with	ADP
fcis-2022	75	23	more	more	ADV
fcis-2022	75	24	realistic	realistic	ADJ
fcis-2022	75	25	scene	scene	NOUN
fcis-2022	75	26	information	information	NOUN
fcis-2022	75	27	,	,	PUNCT
fcis-2022	75	28	and	and	CCONJ
fcis-2022	75	29	try	try	VERB
fcis-2022	75	30	to	to	PART
fcis-2022	75	31	use	use	VERB
fcis-2022	75	32	the	the	DET
fcis-2022	75	33	model	model	NOUN
fcis-2022	75	34	for	for	ADP
fcis-2022	75	35	low	low	ADJ
fcis-2022	75	36	-	-	PUNCT
fcis-2022	75	37	light	light	NOUN
fcis-2022	75	38	video	video	NOUN
fcis-2022	75	39	processing	processing	NOUN
fcis-2022	75	40	.	.	PUNCT
fcis-2022	76	1	28	28	NUM
fcis-2022	76	2	references	reference	NOUN
fcis-2022	76	3	[	[	X
fcis-2022	76	4	1	1	NUM
fcis-2022	76	5	]	]	X
fcis-2022	76	6	kim	kim	PROPN
fcis-2022	76	7	,	,	PUNCT
fcis-2022	76	8	y.t	y.t	PROPN
fcis-2022	76	9	.	.	PROPN
fcis-2022	76	10	,	,	PUNCT
fcis-2022	76	11	“	"	PUNCT
fcis-2022	76	12	contrast	contrast	VERB
fcis-2022	76	13	enhancement	enhancement	NOUN
fcis-2022	76	14	using	use	VERB
fcis-2022	76	15	brightness	brightness	NOUN
fcis-2022	76	16	preserving	preserve	VERB
fcis-2022	76	17	bihistogram	bihistogram	NOUN
fcis-2022	76	18	equalization	equalization	NOUN
fcis-2022	76	19	,	,	PUNCT
fcis-2022	76	20	”	"	PUNCT
fcis-2022	76	21	ieee	ieee	NOUN
fcis-2022	76	22	transactions	transaction	NOUN
fcis-2022	76	23	on	on	ADP
fcis-2022	76	24	consumer	consumer	NOUN
fcis-2022	76	25	electronics	electronic	NOUN
fcis-2022	76	26	,	,	PUNCT
fcis-2022	76	27	1–8(1997	1–8(1997	NUM
fcis-2022	76	28	)	)	PUNCT
fcis-2022	76	29	.	.	PUNCT
fcis-2022	77	1	[	[	X
fcis-2022	77	2	2	2	NUM
fcis-2022	77	3	]	]	X
fcis-2022	77	4	land	land	NOUN
fcis-2022	77	5	,	,	PUNCT
fcis-2022	77	6	e.	e.	PROPN
fcis-2022	77	7	and	and	CCONJ
fcis-2022	77	8	mccann	mccann	PROPN
fcis-2022	77	9	,	,	PUNCT
fcis-2022	77	10	j.	j.	PROPN
fcis-2022	77	11	,	,	PUNCT
fcis-2022	77	12	“	"	PUNCT
fcis-2022	77	13	lightness	lightness	NOUN
fcis-2022	77	14	and	and	CCONJ
fcis-2022	77	15	retinex	retinex	ADJ
fcis-2022	77	16	theory	theory	NOUN
fcis-2022	77	17	,	,	PUNCT
fcis-2022	77	18	”	"	PUNCT
fcis-2022	77	19	josa	josa	NOUN
fcis-2022	77	20	,	,	PUNCT
fcis-2022	77	21	vol	vol	NOUN
fcis-2022	77	22	.	.	PROPN
fcis-2022	77	23	61	61	NUM
fcis-2022	77	24	,	,	PUNCT
fcis-2022	77	25	no	no	INTJ
fcis-2022	77	26	.	.	NOUN
fcis-2022	77	27	1	1	NUM
fcis-2022	77	28	,	,	PUNCT
fcis-2022	77	29	pp	pp	ADJ
fcis-2022	77	30	.	.	PUNCT
fcis-2022	78	1	1–11	1–11	PROPN
fcis-2022	78	2	,	,	PUNCT
fcis-2022	78	3	(	(	PUNCT
fcis-2022	78	4	1971	1971	NUM
fcis-2022	78	5	)	)	PUNCT
fcis-2022	78	6	.	.	PUNCT
fcis-2022	79	1	[	[	X
fcis-2022	79	2	3	3	NUM
fcis-2022	79	3	]	]	X
fcis-2022	79	4	guo	guo	PROPN
fcis-2022	79	5	,	,	PUNCT
fcis-2022	79	6	x.	x.	PROPN
fcis-2022	79	7	,	,	PUNCT
fcis-2022	79	8	li	li	PROPN
fcis-2022	79	9	,	,	PUNCT
fcis-2022	79	10	y.	y.	PROPN
fcis-2022	79	11	and	and	CCONJ
fcis-2022	79	12	ling	ling	PROPN
fcis-2022	79	13	,	,	PUNCT
fcis-2022	79	14	h.	h.	PROPN
fcis-2022	79	15	,	,	PUNCT
fcis-2022	79	16	“	"	PUNCT
fcis-2022	79	17	lime	lime	NOUN
fcis-2022	79	18	:	:	PUNCT
fcis-2022	79	19	low	low	ADJ
fcis-2022	79	20	-	-	PUNCT
fcis-2022	79	21	light	light	NOUN
fcis-2022	79	22	image	image	NOUN
fcis-2022	79	23	enhancement	enhancement	NOUN
fcis-2022	79	24	via	via	ADP
fcis-2022	79	25	illumination	illumination	NOUN
fcis-2022	79	26	map	map	NOUN
fcis-2022	79	27	estimation	estimation	NOUN
fcis-2022	79	28	,	,	PUNCT
fcis-2022	79	29	”	"	PUNCT
fcis-2022	79	30	ieee	ieee	NOUN
fcis-2022	79	31	transactions	transaction	NOUN
fcis-2022	79	32	on	on	ADP
fcis-2022	79	33	image	image	NOUN
fcis-2022	79	34	processing	processing	NOUN
fcis-2022	79	35	,	,	PUNCT
fcis-2022	79	36	vol	vol	NOUN
fcis-2022	79	37	.	.	PROPN
fcis-2022	79	38	26	26	NUM
fcis-2022	79	39	,	,	PUNCT
fcis-2022	79	40	no	no	INTJ
fcis-2022	79	41	.	.	NOUN
fcis-2022	79	42	2	2	NUM
fcis-2022	79	43	,	,	PUNCT
fcis-2022	79	44	pp	pp	ADJ
fcis-2022	79	45	.	.	PUNCT
fcis-2022	80	1	982	982	NUM
fcis-2022	80	2	–	–	PUNCT
fcis-2022	80	3	993(2016	993(2016	NUM
fcis-2022	80	4	)	)	PUNCT
fcis-2022	80	5	.	.	PUNCT
fcis-2022	81	1	[	[	X
fcis-2022	81	2	4	4	NUM
fcis-2022	81	3	]	]	X
fcis-2022	81	4	zhao	zhao	X
fcis-2022	81	5	,	,	PUNCT
fcis-2022	81	6	a.	a.	PROPN
fcis-2022	81	7	,	,	PUNCT
fcis-2022	81	8	dong	dong	PROPN
fcis-2022	81	9	,	,	PUNCT
fcis-2022	81	10	j.	j.	PROPN
fcis-2022	81	11	,	,	PUNCT
fcis-2022	81	12	li	li	PROPN
fcis-2022	81	13	,	,	PUNCT
fcis-2022	81	14	j.	j.	PROPN
fcis-2022	81	15	,	,	PUNCT
fcis-2022	81	16	qi	qi	PROPN
fcis-2022	81	17	,	,	PUNCT
fcis-2022	81	18	l.	l.	PROPN
fcis-2022	81	19	and	and	CCONJ
fcis-2022	81	20	zhou	zhou	PROPN
fcis-2022	81	21	,	,	PUNCT
fcis-2022	81	22	h.	h.	PROPN
fcis-2022	81	23	,	,	PUNCT
fcis-2022	81	24	"	"	PUNCT
fcis-2022	81	25	associated	associated	ADJ
fcis-2022	81	26	spatio	spatio	PROPN
fcis-2022	81	27	-	-	PUNCT
fcis-2022	81	28	temporal	temporal	ADJ
fcis-2022	81	29	capsule	capsule	NOUN
fcis-2022	81	30	network	network	NOUN
fcis-2022	81	31	for	for	ADP
fcis-2022	81	32	gait	gait	NOUN
fcis-2022	81	33	recognition	recognition	NOUN
fcis-2022	81	34	,	,	PUNCT
fcis-2022	81	35	"	"	PUNCT
fcis-2022	81	36	in	in	ADP
fcis-2022	81	37	ieee	ieee	NOUN
fcis-2022	81	38	transactions	transaction	NOUN
fcis-2022	81	39	on	on	ADP
fcis-2022	81	40	multimedia	multimedia	NOUN
fcis-2022	81	41	,	,	PUNCT
fcis-2022	81	42	doi	doi	NOUN
fcis-2022	81	43	:	:	PUNCT
fcis-2022	81	44	10.1109	10.1109	NUM
fcis-2022	81	45	/	/	SYM
fcis-2022	81	46	tmm.3060280(2021	tmm.3060280(2021	NOUN
fcis-2022	81	47	)	)	PUNCT
fcis-2022	81	48	.	.	PUNCT
fcis-2022	82	1	[	[	X
fcis-2022	82	2	5	5	NUM
fcis-2022	82	3	]	]	X
fcis-2022	82	4	wang	wang	PROPN
fcis-2022	82	5	,	,	PUNCT
fcis-2022	82	6	y.	y.	PROPN
fcis-2022	82	7	,	,	PUNCT
fcis-2022	82	8	li	li	PROPN
fcis-2022	82	9	,	,	PUNCT
fcis-2022	82	10	j.	j.	PROPN
fcis-2022	82	11	,	,	PUNCT
fcis-2022	82	12	zhao	zhao	PROPN
fcis-2022	82	13	,	,	PUNCT
fcis-2022	82	14	a.	a.	PROPN
fcis-2022	82	15	,	,	PUNCT
fcis-2022	82	16	lv	lv	PROPN
fcis-2022	82	17	,	,	PUNCT
fcis-2022	82	18	z.	z.	PROPN
fcis-2022	82	19	,	,	PUNCT
fcis-2022	82	20	and	and	CCONJ
fcis-2022	82	21	lu	lu	PROPN
fcis-2022	82	22	,	,	PUNCT
fcis-2022	82	23	g.	g.	PROPN
fcis-2022	82	24	,	,	PUNCT
fcis-2022	82	25	“	"	PUNCT
fcis-2022	82	26	temporal	temporal	ADJ
fcis-2022	82	27	attention	attention	NOUN
fcis-2022	82	28	-	-	PUNCT
fcis-2022	82	29	based	base	VERB
fcis-2022	82	30	graph	graph	NOUN
fcis-2022	82	31	convolution	convolution	NOUN
fcis-2022	82	32	network	network	NOUN
fcis-2022	82	33	for	for	ADP
fcis-2022	82	34	taxi	taxi	NOUN
fcis-2022	82	35	demand	demand	NOUN
fcis-2022	82	36	prediction	prediction	NOUN
fcis-2022	82	37	in	in	ADP
fcis-2022	82	38	functional	functional	ADJ
fcis-2022	82	39	areas	area	NOUN
fcis-2022	82	40	,	,	PUNCT
fcis-2022	82	41	”	"	PUNCT
fcis-2022	82	42	in	in	ADP
fcis-2022	82	43	international	international	ADJ
fcis-2022	82	44	conference	conference	NOUN
fcis-2022	82	45	on	on	ADP
fcis-2022	82	46	wireless	wireless	ADJ
fcis-2022	82	47	algorithms	algorithm	NOUN
fcis-2022	82	48	,	,	PUNCT
fcis-2022	82	49	systems	system	NOUN
fcis-2022	82	50	,	,	PUNCT
fcis-2022	82	51	and	and	CCONJ
fcis-2022	82	52	applications	application	NOUN
fcis-2022	82	53	,	,	PUNCT
fcis-2022	82	54	203	203	NUM
fcis-2022	82	55	-	-	SYM
fcis-2022	82	56	214	214	NUM
fcis-2022	82	57	springer	springer	NOUN
fcis-2022	82	58	(	(	PUNCT
fcis-2022	82	59	2021	2021	NUM
fcis-2022	82	60	)	)	PUNCT
fcis-2022	82	61	.	.	PUNCT
fcis-2022	83	1	[	[	X
fcis-2022	83	2	6	6	NUM
fcis-2022	83	3	]	]	X
fcis-2022	83	4	zhao	zhao	X
fcis-2022	83	5	,	,	PUNCT
fcis-2022	83	6	a.	a.	PROPN
fcis-2022	83	7	,	,	PUNCT
fcis-2022	83	8	li	li	PROPN
fcis-2022	83	9	,	,	PUNCT
fcis-2022	83	10	j.	j.	PROPN
fcis-2022	83	11	,	,	PUNCT
fcis-2022	83	12	dong	dong	PROPN
fcis-2022	83	13	,	,	PUNCT
fcis-2022	83	14	j.	j.	PROPN
fcis-2022	83	15	,	,	PUNCT
fcis-2022	83	16	qi	qi	PROPN
fcis-2022	83	17	,	,	PUNCT
fcis-2022	83	18	l.	l.	PROPN
fcis-2022	83	19	,	,	PUNCT
fcis-2022	83	20	zhang	zhang	PROPN
fcis-2022	83	21	,	,	PUNCT
fcis-2022	83	22	q.	q.	PROPN
fcis-2022	83	23	,	,	PUNCT
fcis-2022	83	24	li	li	PROPN
fcis-2022	83	25	,	,	PUNCT
fcis-2022	83	26	n.	n.	PROPN
fcis-2022	83	27	,	,	PUNCT
fcis-2022	83	28	wang	wang	PROPN
fcis-2022	83	29	,	,	PUNCT
fcis-2022	83	30	x.	x.	NOUN
fcis-2022	83	31	and	and	CCONJ
fcis-2022	83	32	zhou	zhou	PROPN
fcis-2022	83	33	,	,	PUNCT
fcis-2022	83	34	h.	h.	PROPN
fcis-2022	83	35	,	,	PUNCT
fcis-2022	83	36	"	"	PUNCT
fcis-2022	83	37	multimodal	multimodal	ADJ
fcis-2022	83	38	gait	gait	NOUN
fcis-2022	83	39	recognition	recognition	NOUN
fcis-2022	83	40	for	for	ADP
fcis-2022	83	41	neurodegenerative	neurodegenerative	ADJ
fcis-2022	83	42	diseases	disease	NOUN
fcis-2022	83	43	,	,	PUNCT
fcis-2022	83	44	"	"	PUNCT
fcis-2022	83	45	in	in	ADP
fcis-2022	83	46	ieee	ieee	NOUN
fcis-2022	83	47	transactions	transaction	NOUN
fcis-2022	83	48	on	on	ADP
fcis-2022	83	49	cybernetics	cybernetic	NOUN
fcis-2022	83	50	,	,	PUNCT
fcis-2022	83	51	doi	doi	NOUN
fcis-2022	83	52	:	:	PUNCT
fcis-2022	83	53	10.1109	10.1109	NUM
fcis-2022	83	54	/	/	SYM
fcis-2022	83	55	tcyb.3056104(2021	tcyb.3056104(2021	NOUN
fcis-2022	83	56	)	)	PUNCT
fcis-2022	83	57	.	.	PUNCT
fcis-2022	84	1	[	[	X
fcis-2022	84	2	7	7	X
fcis-2022	84	3	]	]	X
fcis-2022	84	4	girshick	girshick	ADJ
fcis-2022	84	5	r	r	PROPN
fcis-2022	84	6	,	,	PUNCT
fcis-2022	84	7	donahue	donahue	PROPN
fcis-2022	84	8	j	j	PROPN
fcis-2022	84	9	,	,	PUNCT
fcis-2022	84	10	darrell	darrell	PROPN
fcis-2022	84	11	t	t	PROPN
fcis-2022	84	12	,	,	PUNCT
fcis-2022	84	13	et	et	PROPN
fcis-2022	84	14	al	al	PROPN
fcis-2022	84	15	.	.	PROPN
fcis-2022	84	16	rich	rich	ADJ
fcis-2022	84	17	feature	feature	NOUN
fcis-2022	84	18	hierarchies	hierarchy	NOUN
fcis-2022	84	19	for	for	ADP
fcis-2022	84	20	accurate	accurate	ADJ
fcis-2022	84	21	object	object	NOUN
fcis-2022	84	22	detection	detection	NOUN
fcis-2022	84	23	and	and	CCONJ
fcis-2022	84	24	semantic	semantic	ADJ
fcis-2022	84	25	segmentation[j	segmentation[j	PROPN
fcis-2022	84	26	]	]	PUNCT
fcis-2022	84	27	.	.	PUNCT
fcis-2022	85	1	proceedings	proceeding	NOUN
fcis-2022	85	2	of	of	ADP
fcis-2022	85	3	2014	2014	NUM
fcis-2022	85	4	ieee	ieee	NOUN
fcis-2022	85	5	conference	conference	NOUN
fcis-2022	85	6	on	on	ADP
fcis-2022	85	7	computer	computer	NOUN
fcis-2022	85	8	vision	vision	NOUN
fcis-2022	85	9	and	and	CCONJ
fcis-2022	85	10	pattern	pattern	NOUN
fcis-2022	85	11	recognition	recognition	NOUN
fcis-2022	85	12	.	.	PUNCT
fcis-2022	86	1	columbus	columbus	PROPN
fcis-2022	86	2	:	:	PUNCT
fcis-2022	86	3	ieee	ieee	NOUN
fcis-2022	86	4	,	,	PUNCT
fcis-2022	86	5	2014	2014	NUM
fcis-2022	86	6	:	:	PUNCT
fcis-2022	86	7	580	580	NUM
fcis-2022	86	8	-	-	SYM
fcis-2022	86	9	587	587	NUM
fcis-2022	86	10	.	.	PUNCT
fcis-2022	87	1	[	[	X
fcis-2022	87	2	8	8	NUM
fcis-2022	87	3	]	]	X
fcis-2022	87	4	girshick	girshick	PROPN
fcis-2022	87	5	r.	r.	PROPN
fcis-2022	87	6	fast	fast	ADV
fcis-2022	87	7	r	r	PROPN
fcis-2022	87	8	-	-	PUNCT
fcis-2022	87	9	cnn	cnn	NOUN
fcis-2022	88	1	[	[	X
fcis-2022	88	2	c]//proceedings	c]//proceeding	NOUN
fcis-2022	88	3	of	of	ADP
fcis-2022	88	4	2015	2015	NUM
fcis-2022	88	5	teee	teee	PROPN
fcis-2022	88	6	international	international	ADJ
fcis-2022	88	7	conference	conference	NOUN
fcis-2022	88	8	on	on	ADP
fcis-2022	88	9	computer	computer	NOUN
fcis-2022	88	10	vision	vision	NOUN
fcis-2022	88	11	.	.	PUNCT
fcis-2022	89	1	santiago	santiago	PROPN
fcis-2022	89	2	:	:	PUNCT
fcis-2022	89	3	ieee	ieee	NOUN
fcis-2022	89	4	,	,	PUNCT
fcis-2022	89	5	2015	2015	NUM
fcis-2022	89	6	:	:	PUNCT
fcis-2022	89	7	1440	1440	NUM
fcis-2022	89	8	-	-	SYM
fcis-2022	89	9	1448	1448	NUM
fcis-2022	89	10	hao	hao	PROPN
fcis-2022	89	11	,	,	PUNCT
fcis-2022	89	12	s.	s.	PROPN
fcis-2022	89	13	,	,	PUNCT
fcis-2022	89	14	han	han	PROPN
fcis-2022	89	15	,	,	PUNCT
fcis-2022	89	16	x.	x.	PROPN
fcis-2022	89	17	,	,	PUNCT
fcis-2022	89	18	guo	guo	PROPN
fcis-2022	89	19	,	,	PUNCT
fcis-2022	89	20	y.	y.	PROPN
fcis-2022	89	21	,	,	PUNCT
fcis-2022	89	22	xu	xu	PROPN
fcis-2022	89	23	,	,	PUNCT
fcis-2022	89	24	x.	x.	PROPN
fcis-2022	89	25	and	and	CCONJ
fcis-2022	89	26	wang	wang	PROPN
fcis-2022	89	27	,	,	PUNCT
fcis-2022	89	28	m.	m.	NOUN
fcis-2022	89	29	,	,	PUNCT
fcis-2022	89	30	“	"	PUNCT
fcis-2022	89	31	low	low	ADJ
fcis-2022	89	32	-	-	PUNCT
fcis-2022	89	33	light	light	NOUN
fcis-2022	89	34	image	image	NOUN
fcis-2022	89	35	enhancement	enhancement	NOUN
fcis-2022	89	36	with	with	ADP
fcis-2022	89	37	semi	semi	ADJ
fcis-2022	89	38	-	-	ADJ
fcis-2022	89	39	decoupled	decoupled	ADJ
fcis-2022	89	40	decomposition	decomposition	NOUN
fcis-2022	89	41	,	,	PUNCT
fcis-2022	89	42	”	"	PUNCT
fcis-2022	89	43	ieee	ieee	NOUN
fcis-2022	89	44	transactions	transaction	NOUN
fcis-2022	89	45	on	on	ADP
fcis-2022	89	46	multimedia	multimedia	NOUN
fcis-2022	89	47	,	,	PUNCT
fcis-2022	89	48	vol	vol	NOUN
fcis-2022	89	49	.	.	PROPN
fcis-2022	90	1	22	22	NUM
fcis-2022	90	2	,	,	PUNCT
fcis-2022	90	3	no	no	INTJ
fcis-2022	90	4	.	.	NOUN
fcis-2022	90	5	12	12	NUM
fcis-2022	90	6	,	,	PUNCT
fcis-2022	90	7	pp	pp	ADJ
fcis-2022	90	8	.	.	PUNCT
fcis-2022	91	1	3025–3038(2020	3025–3038(2020	NUM
fcis-2022	91	2	)	)	PUNCT
fcis-2022	91	3	.	.	PUNCT
fcis-2022	92	1	[	[	X
fcis-2022	92	2	9	9	NUM
fcis-2022	92	3	]	]	X
fcis-2022	92	4	ren	ren	PROPN
fcis-2022	92	5	s	s	PROPN
fcis-2022	92	6	q	q	NOUN
fcis-2022	92	7	,	,	PUNCT
fcis-2022	92	8	he	he	PRON
fcis-2022	92	9	k	k	PROPN
fcis-2022	92	10	m	m	PROPN
fcis-2022	92	11	,	,	PUNCT
fcis-2022	92	12	girshick	girshick	ADJ
fcis-2022	92	13	r	r	NOUN
fcis-2022	92	14	,	,	PUNCT
fcis-2022	92	15	et	et	PROPN
fcis-2022	92	16	al	al	PROPN
fcis-2022	92	17	.	.	PUNCT
fcis-2022	93	1	faster	fast	ADJ
fcis-2022	93	2	r	r	NOUN
fcis-2022	93	3	-	-	PUNCT
fcis-2022	93	4	cnn	cnn	PROPN
fcis-2022	93	5	;	;	PUNCT
fcis-2022	93	6	towards	towards	ADP
fcis-2022	93	7	real	real	ADJ
fcis-2022	93	8	-	-	PUNCT
fcis-2022	93	9	time	time	NOUN
fcis-2022	93	10	object	object	NOUN
fcis-2022	93	11	detection	detection	NOUN
fcis-2022	93	12	with	with	ADP
fcis-2022	93	13	region	region	NOUN
fcis-2022	93	14	proposal	proposal	NOUN
fcis-2022	93	15	network[j	network[j	PROPN
fcis-2022	93	16	]	]	PUNCT
fcis-2022	93	17	.	.	PUNCT
fcis-2022	94	1	ieee	ieee	NOUN
fcis-2022	94	2	transactions	transaction	NOUN
fcis-2022	94	3	on	on	ADP
fcis-2022	94	4	pattern	pattern	NOUN
fcis-2022	94	5	analysis	analysis	NOUN
fcis-2022	94	6	and	and	CCONJ
fcis-2022	94	7	machine	machine	NOUN
fcis-2022	94	8	intelligence	intelligence	NOUN
fcis-2022	94	9	,	,	PUNCT
fcis-2022	94	10	2017	2017	NUM
fcis-2022	94	11	,	,	PUNCT
fcis-2022	94	12	39(6	39(6	NUM
fcis-2022	94	13	):	):	PUNCT
fcis-2022	94	14	1137	1137	NUM
fcis-2022	94	15	-	-	SYM
fcis-2022	94	16	1149	1149	NUM
fcis-2022	94	17	.	.	PUNCT
fcis-2022	95	1	[	[	X
fcis-2022	95	2	10	10	NUM
fcis-2022	95	3	]	]	X
fcis-2022	95	4	redmon	redmon	PROPN
fcis-2022	95	5	j	j	PROPN
fcis-2022	95	6	,	,	PUNCT
fcis-2022	95	7	divvala	divvala	PROPN
fcis-2022	95	8	s	s	PROPN
fcis-2022	95	9	,	,	PUNCT
fcis-2022	95	10	girshick	girshick	ADJ
fcis-2022	95	11	r	r	NOUN
fcis-2022	95	12	,	,	PUNCT
fcis-2022	95	13	et	et	PROPN
fcis-2022	95	14	al	al	PROPN
fcis-2022	95	15	.	.	PUNCT
fcis-2022	96	1	you	you	PRON
fcis-2022	96	2	only	only	ADV
fcis-2022	96	3	look	look	VERB
fcis-2022	96	4	once	once	ADV
fcis-2022	96	5	:	:	PUNCT
fcis-2022	96	6	unified	unified	ADJ
fcis-2022	96	7	,	,	PUNCT
fcis-2022	96	8	real	real	ADJ
fcis-2022	96	9	-	-	PUNCT
fcis-2022	96	10	time	time	NOUN
fcis-2022	96	11	object	object	NOUN
fcis-2022	96	12	detection[c]//proceedings	detection[c]//proceeding	NOUN
fcis-2022	96	13	of	of	ADP
fcis-2022	96	14	the	the	DET
fcis-2022	96	15	ieee	ieee	NOUN
fcis-2022	96	16	conference	conference	NOUN
fcis-2022	96	17	on	on	ADP
fcis-2022	96	18	computer	computer	NOUN
fcis-2022	96	19	vision	vision	NOUN
fcis-2022	96	20	and	and	CCONJ
fcis-2022	96	21	pattern	pattern	NOUN
fcis-2022	96	22	recognition	recognition	NOUN
fcis-2022	96	23	.	.	PUNCT
fcis-2022	97	1	2016	2016	NUM
fcis-2022	97	2	:	:	PUNCT
fcis-2022	97	3	779	779	NUM
fcis-2022	97	4	-	-	SYM
fcis-2022	97	5	788	788	NUM
fcis-2022	97	6	.	.	PUNCT
fcis-2022	98	1	[	[	X
fcis-2022	98	2	11	11	NUM
fcis-2022	98	3	]	]	X
fcis-2022	98	4	liu	liu	PROPN
fcis-2022	98	5	w	w	PROPN
fcis-2022	98	6	,	,	PUNCT
fcis-2022	98	7	anguelov	anguelov	NOUN
fcis-2022	98	8	d	d	NOUN
fcis-2022	98	9	,	,	PUNCT
fcis-2022	98	10	erhan	erhan	ADP
fcis-2022	98	11	d	d	PROPN
fcis-2022	98	12	,	,	PUNCT
fcis-2022	98	13	et	et	PROPN
fcis-2022	98	14	al	al	PROPN
fcis-2022	98	15	.	.	PROPN
fcis-2022	98	16	ssd	ssd	PROPN
fcis-2022	98	17	:	:	PUNCT
fcis-2022	98	18	single	single	ADJ
fcis-2022	98	19	shot	shot	NOUN
fcis-2022	98	20	multibox	multibox	NOUN
fcis-2022	98	21	detector	detector	NOUN
fcis-2022	98	22	[	[	X
fcis-2022	98	23	c]//european	c]//european	ADJ
fcis-2022	98	24	conference	conference	NOUN
fcis-2022	98	25	on	on	ADP
fcis-2022	98	26	computer	computer	NOUN
fcis-2022	98	27	vision	vision	NOUN
fcis-2022	98	28	.	.	PUNCT
fcis-2022	99	1	springer	springer	NOUN
fcis-2022	99	2	,	,	PUNCT
fcis-2022	99	3	cham	cham	PROPN
fcis-2022	99	4	,	,	PUNCT
fcis-2022	99	5	2016	2016	NUM
fcis-2022	99	6	:	:	PUNCT
fcis-2022	99	7	21	21	NUM
fcis-2022	99	8	-	-	SYM
fcis-2022	99	9	37	37	NUM
fcis-2022	99	10	.	.	PUNCT
fcis-2022	100	1	[	[	X
fcis-2022	100	2	12	12	NUM
fcis-2022	100	3	]	]	X
fcis-2022	100	4	ma	ma	PROPN
fcis-2022	100	5	,	,	PUNCT
fcis-2022	100	6	l.	l.	PROPN
fcis-2022	100	7	,	,	PUNCT
fcis-2022	100	8	liu	liu	PROPN
fcis-2022	100	9	,	,	PUNCT
fcis-2022	100	10	r.	r.	PROPN
fcis-2022	100	11	,	,	PUNCT
fcis-2022	100	12	zhang	zhang	PROPN
fcis-2022	100	13	,	,	PUNCT
fcis-2022	100	14	j.	j.	PROPN
fcis-2022	100	15	,	,	PUNCT
fcis-2022	100	16	fan	fan	PROPN
fcis-2022	100	17	,	,	PUNCT
fcis-2022	100	18	x.	x.	NOUN
fcis-2022	100	19	and	and	CCONJ
fcis-2022	100	20	luo	luo	PROPN
fcis-2022	100	21	,	,	PUNCT
fcis-2022	100	22	z.	z.	PROPN
fcis-2022	100	23	,	,	PUNCT
fcis-2022	100	24	“	"	PUNCT
fcis-2022	100	25	learning	learn	VERB
fcis-2022	100	26	deep	deep	ADJ
fcis-2022	100	27	context	context	NOUN
fcis-2022	100	28	-	-	PUNCT
fcis-2022	100	29	sensitive	sensitive	ADJ
fcis-2022	100	30	decomposition	decomposition	NOUN
fcis-2022	100	31	for	for	ADP
fcis-2022	100	32	low	low	ADJ
fcis-2022	100	33	-	-	PUNCT
fcis-2022	100	34	light	light	ADJ
fcis-2022	100	35	image	image	NOUN
fcis-2022	100	36	enhancement	enhancement	NOUN
fcis-2022	100	37	,	,	PUNCT
fcis-2022	100	38	”	"	PUNCT
fcis-2022	100	39	ieee	ieee	NOUN
fcis-2022	100	40	transactions	transaction	NOUN
fcis-2022	100	41	on	on	ADP
fcis-2022	100	42	neural	neural	ADJ
fcis-2022	100	43	networks	network	NOUN
fcis-2022	100	44	and	and	CCONJ
fcis-2022	100	45	learning	learn	VERB
fcis-2022	100	46	systems	system	NOUN
fcis-2022	100	47	(	(	PUNCT
fcis-2022	100	48	2021	2021	NUM
fcis-2022	100	49	)	)	PUNCT
fcis-2022	100	50	.	.	PUNCT
fcis-2022	101	1	[	[	X
fcis-2022	101	2	13	13	NUM
fcis-2022	101	3	]	]	X
fcis-2022	101	4	sun	sun	NOUN
fcis-2022	101	5	,	,	PUNCT
fcis-2022	101	6	y.	y.	PROPN
fcis-2022	101	7	,	,	PUNCT
fcis-2022	101	8	zang	zang	PROPN
fcis-2022	101	9	,	,	PUNCT
fcis-2022	101	10	y.	y.	PROPN
fcis-2022	101	11	and	and	CCONJ
fcis-2022	101	12	liu	liu	PROPN
fcis-2022	101	13	,	,	PUNCT
fcis-2022	101	14	s.	s.	PROPN
fcis-2022	101	15	,	,	PUNCT
fcis-2022	101	16	“	"	PUNCT
fcis-2022	101	17	image	image	NOUN
fcis-2022	101	18	super	super	NOUN
fcis-2022	101	19	-	-	NOUN
fcis-2022	101	20	resolution	resolution	NOUN
fcis-2022	101	21	using	use	VERB
fcis-2022	101	22	supervised	supervised	ADJ
fcis-2022	101	23	multi	multi	ADJ
fcis-2022	101	24	-	-	ADJ
fcis-2022	101	25	scale	scale	ADJ
fcis-2022	101	26	feature	feature	NOUN
fcis-2022	101	27	extraction	extraction	NOUN
fcis-2022	101	28	network	network	NOUN
fcis-2022	101	29	,	,	PUNCT
fcis-2022	101	30	”	"	PUNCT
fcis-2022	101	31	multimedia	multimedia	NOUN
fcis-2022	101	32	tools	tool	NOUN
fcis-2022	101	33	and	and	CCONJ
fcis-2022	101	34	applications,80(2	applications,80(2	NOUN
fcis-2022	101	35	):	):	PUNCT
fcis-2022	101	36	1995－2008(2020	1995－2008(2020	NUM
fcis-2022	101	37	)	)	PUNCT
fcis-2022	101	38	.	.	PUNCT
fcis-2022	102	1	[	[	X
fcis-2022	102	2	14	14	NUM
fcis-2022	102	3	]	]	X
fcis-2022	102	4	yuanjie	yuanjie	PROPN
fcis-2022	102	5	shao	shao	PROPN
fcis-2022	102	6	,	,	PUNCT
fcis-2022	102	7	lerenhan	lerenhan	PROPN
fcis-2022	102	8	li	li	PROPN
fcis-2022	102	9	,	,	PUNCT
fcis-2022	102	10	wenqi	wenqi	PROPN
fcis-2022	102	11	ren	ren	PROPN
fcis-2022	102	12	,	,	PUNCT
fcis-2022	102	13	changxin	changxin	PROPN
fcis-2022	102	14	gao	gao	PROPN
fcis-2022	102	15	,	,	PUNCT
fcis-2022	102	16	and	and	CCONJ
fcis-2022	102	17	nong	nong	PROPN
fcis-2022	102	18	sang	sing	VERB
fcis-2022	102	19	.	.	PUNCT
fcis-2022	103	1	domain	domain	NOUN
fcis-2022	103	2	adaptation	adaptation	NOUN
fcis-2022	103	3	for	for	ADP
fcis-2022	103	4	image	image	NOUN
fcis-2022	103	5	dehazing	dehazing	NOUN
fcis-2022	103	6	.	.	PUNCT
fcis-2022	104	1	in	in	ADP
fcis-2022	104	2	cvpr	cvpr	NOUN
fcis-2022	104	3	,	,	PUNCT
fcis-2022	104	4	2020	2020	NUM
fcis-2022	104	5	.	.	PUNCT
fcis-2022	104	6	1	1	NUM
fcis-2022	104	7	,	,	PUNCT
fcis-2022	104	8	2	2	NUM
fcis-2022	104	9	,	,	PUNCT
fcis-2022	104	10	4	4	NUM
fcis-2022	104	11	.	.	PUNCT
fcis-2022	105	1	[	[	X
fcis-2022	105	2	15	15	NUM
fcis-2022	105	3	]	]	X
fcis-2022	105	4	l.	l.	PROPN
fcis-2022	105	5	li	li	PROPN
fcis-2022	105	6	,	,	PUNCT
fcis-2022	105	7	y.	y.	PROPN
fcis-2022	105	8	dong	dong	PROPN
fcis-2022	105	9	,	,	PUNCT
fcis-2022	105	10	w.	w.	PROPN
fcis-2022	105	11	ren	ren	PROPN
fcis-2022	105	12	,	,	PUNCT
fcis-2022	105	13	j.	j.	PROPN
fcis-2022	105	14	pan	pan	PROPN
fcis-2022	105	15	,	,	PUNCT
fcis-2022	105	16	c.	c.	PROPN
fcis-2022	105	17	gao	gao	PROPN
fcis-2022	105	18	,	,	PUNCT
fcis-2022	105	19	n.	n.	PROPN
fcis-2022	105	20	sang	sing	VERB
fcis-2022	105	21	,	,	PUNCT
fcis-2022	105	22	and	and	CCONJ
fcis-2022	105	23	m.	m.	PROPN
fcis-2022	105	24	yang	yang	PROPN
fcis-2022	105	25	.	.	PUNCT
fcis-2022	106	1	semi	semi	ADJ
fcis-2022	106	2	-	-	ADJ
fcis-2022	106	3	supervised	supervised	ADJ
fcis-2022	106	4	image	image	NOUN
fcis-2022	106	5	dehazing	dehazing	NOUN
fcis-2022	106	6	.	.	PUNCT
fcis-2022	107	1	tip	tip	NOUN
fcis-2022	107	2	,	,	PUNCT
fcis-2022	107	3	29:2766–2779	29:2766–2779	NUM
fcis-2022	107	4	,	,	PUNCT
fcis-2022	107	5	2020	2020	NUM
fcis-2022	107	6	.	.	PUNCT
fcis-2022	108	1	4	4	NUM
fcis-2022	108	2	.	.	PUNCT
fcis-2022	109	1	[	[	X
fcis-2022	109	2	16	16	NUM
fcis-2022	109	3	]	]	X
fcis-2022	109	4	lee	lee	PROPN
fcis-2022	109	5	,	,	PUNCT
fcis-2022	109	6	c.	c.	PROPN
fcis-2022	109	7	,	,	PUNCT
fcis-2022	109	8	lee	lee	PROPN
fcis-2022	109	9	,	,	PUNCT
fcis-2022	109	10	c.	c.	PROPN
fcis-2022	109	11	and	and	CCONJ
fcis-2022	109	12	kim	kim	PROPN
fcis-2022	109	13	,	,	PUNCT
fcis-2022	109	14	c.	c.	PROPN
fcis-2022	109	15	,	,	PUNCT
fcis-2022	109	16	“	"	PUNCT
fcis-2022	109	17	contrast	contrast	NOUN
fcis-2022	109	18	enhancement	enhancement	NOUN
fcis-2022	109	19	based	base	VERB
fcis-2022	109	20	on	on	ADP
fcis-2022	109	21	layered	layered	ADJ
fcis-2022	109	22	difference	difference	NOUN
fcis-2022	109	23	representation	representation	NOUN
fcis-2022	109	24	of	of	ADP
fcis-2022	109	25	2d	2d	PROPN
fcis-2022	109	26	histograms	histogram	NOUN
fcis-2022	109	27	,	,	PUNCT
fcis-2022	109	28	”	"	PUNCT
fcis-2022	109	29	ieee	ieee	NOUN
fcis-2022	109	30	transactions	transaction	NOUN
fcis-2022	109	31	on	on	ADP
fcis-2022	109	32	image	image	NOUN
fcis-2022	109	33	processing	processing	NOUN
fcis-2022	109	34	,	,	PUNCT
fcis-2022	109	35	vol	vol	NOUN
fcis-2022	109	36	.	.	PROPN
fcis-2022	109	37	22	22	NUM
fcis-2022	109	38	,	,	PUNCT
fcis-2022	109	39	no	no	INTJ
fcis-2022	109	40	.	.	NOUN
fcis-2022	109	41	12	12	NUM
fcis-2022	109	42	,	,	PUNCT
fcis-2022	109	43	pp	pp	ADJ
fcis-2022	109	44	.	.	PUNCT
fcis-2022	110	1	5372	5372	NUM
fcis-2022	110	2	–	–	PUNCT
fcis-2022	110	3	5384(2013	5384(2013	NUM
fcis-2022	110	4	)	)	PUNCT
fcis-2022	110	5	.	.	PUNCT
fcis-2022	111	1	[	[	X
fcis-2022	111	2	17	17	NUM
fcis-2022	111	3	]	]	X
fcis-2022	111	4	cai	cai	X
fcis-2022	111	5	,	,	PUNCT
fcis-2022	111	6	j.	j.	PROPN
fcis-2022	111	7	,	,	PUNCT
fcis-2022	111	8	gu	gu	PROPN
fcis-2022	111	9	,	,	PUNCT
fcis-2022	111	10	s.	s.	PROPN
fcis-2022	111	11	and	and	CCONJ
fcis-2022	111	12	zhang	zhang	PROPN
fcis-2022	111	13	,	,	PUNCT
fcis-2022	111	14	l.	l.	PROPN
fcis-2022	111	15	,	,	PUNCT
fcis-2022	111	16	“	"	PUNCT
fcis-2022	111	17	learning	learn	VERB
fcis-2022	111	18	a	a	DET
fcis-2022	111	19	deep	deep	ADJ
fcis-2022	111	20	single	single	ADJ
fcis-2022	111	21	image	image	NOUN
fcis-2022	111	22	contrast	contrast	NOUN
fcis-2022	111	23	enhancer	enhancer	NOUN
fcis-2022	111	24	from	from	ADP
fcis-2022	111	25	multi	multi	ADJ
fcis-2022	111	26	-	-	ADJ
fcis-2022	111	27	exposure	exposure	ADJ
fcis-2022	111	28	images	image	NOUN
fcis-2022	111	29	,	,	PUNCT
fcis-2022	111	30	”	"	PUNCT
fcis-2022	111	31	ieee	ieee	NOUN
fcis-2022	111	32	transactions	transaction	NOUN
fcis-2022	111	33	on	on	ADP
fcis-2022	111	34	image	image	NOUN
fcis-2022	111	35	processing	processing	NOUN
fcis-2022	111	36	,	,	PUNCT
fcis-2022	111	37	vol	vol	NOUN
fcis-2022	111	38	.	.	PROPN
fcis-2022	111	39	27	27	NUM
fcis-2022	111	40	,	,	PUNCT
fcis-2022	111	41	no	no	INTJ
fcis-2022	111	42	.	.	NOUN
fcis-2022	111	43	4	4	NUM
fcis-2022	111	44	,	,	PUNCT
fcis-2022	111	45	pp	pp	ADJ
fcis-2022	111	46	.	.	PUNCT
fcis-2022	111	47	2049	2049	NUM
fcis-2022	111	48	–	–	PUNCT
fcis-2022	111	49	2062(2018	2062(2018	NUM
fcis-2022	111	50	)	)	PUNCT
fcis-2022	111	51	.	.	PUNCT
fcis-2022	112	1	[	[	X
fcis-2022	112	2	18	18	NUM
fcis-2022	112	3	]	]	X
fcis-2022	112	4	wang	wang	PROPN
fcis-2022	112	5	,	,	PUNCT
fcis-2022	112	6	s.	s.	PROPN
fcis-2022	112	7	,	,	PUNCT
fcis-2022	112	8	zheng	zheng	PROPN
fcis-2022	112	9	,	,	PUNCT
fcis-2022	112	10	j.	j.	PROPN
fcis-2022	112	11	,	,	PUNCT
fcis-2022	112	12	hu	hu	PROPN
fcis-2022	112	13	,	,	PUNCT
fcis-2022	112	14	h.	h.	PROPN
fcis-2022	112	15	and	and	CCONJ
fcis-2022	112	16	li	li	PROPN
fcis-2022	112	17	,	,	PUNCT
fcis-2022	112	18	b.	b.	PROPN
fcis-2022	112	19	,	,	PUNCT
fcis-2022	112	20	“	"	PUNCT
fcis-2022	112	21	naturalness	naturalness	VERB
fcis-2022	112	22	preserved	preserve	VERB
fcis-2022	112	23	enhancement	enhancement	NOUN
fcis-2022	112	24	algorithm	algorithm	NOUN
fcis-2022	112	25	for	for	ADP
fcis-2022	112	26	non	non	ADJ
fcis-2022	112	27	-	-	ADJ
fcis-2022	112	28	uniform	uniform	ADJ
fcis-2022	112	29	illumination	illumination	NOUN
fcis-2022	112	30	images	image	NOUN
fcis-2022	112	31	,	,	PUNCT
fcis-2022	112	32	”	"	PUNCT
fcis-2022	112	33	ieee	ieee	NOUN
fcis-2022	112	34	transactions	transaction	NOUN
fcis-2022	112	35	on	on	ADP
fcis-2022	112	36	image	image	NOUN
fcis-2022	112	37	processing	processing	NOUN
fcis-2022	112	38	,	,	PUNCT
fcis-2022	112	39	vol	vol	NOUN
fcis-2022	112	40	.	.	PROPN
fcis-2022	113	1	22	22	NUM
fcis-2022	113	2	,	,	PUNCT
fcis-2022	113	3	no	no	INTJ
fcis-2022	113	4	.	.	NOUN
fcis-2022	113	5	9	9	NUM
fcis-2022	113	6	,	,	PUNCT
fcis-2022	113	7	pp	pp	ADJ
fcis-2022	113	8	.	.	PUNCT
fcis-2022	114	1	3538–3548	3538–3548	NUM
fcis-2022	114	2	(	(	PUNCT
fcis-2022	114	3	2013	2013	NUM
fcis-2022	114	4	)	)	PUNCT
fcis-2022	114	5	.	.	PUNCT
fcis-2022	115	1	[	[	X
fcis-2022	115	2	19	19	NUM
fcis-2022	115	3	]	]	X
fcis-2022	115	4	ma	ma	PROPN
fcis-2022	115	5	,	,	PUNCT
fcis-2022	115	6	k.	k.	PROPN
fcis-2022	115	7	,	,	PUNCT
fcis-2022	115	8	zeng	zeng	PROPN
fcis-2022	115	9	,	,	PUNCT
fcis-2022	115	10	k.	k.	PROPN
fcis-2022	115	11	and	and	CCONJ
fcis-2022	115	12	wang	wang	PROPN
fcis-2022	115	13	,	,	PUNCT
fcis-2022	115	14	z.	z.	PROPN
fcis-2022	115	15	,	,	PUNCT
fcis-2022	115	16	“	"	PUNCT
fcis-2022	115	17	perceptual	perceptual	ADJ
fcis-2022	115	18	quality	quality	NOUN
fcis-2022	115	19	assessment	assessment	NOUN
fcis-2022	115	20	for	for	ADP
fcis-2022	115	21	multi	multi	ADJ
fcis-2022	115	22	-	-	ADJ
fcis-2022	115	23	exposure	exposure	ADJ
fcis-2022	115	24	image	image	NOUN
fcis-2022	115	25	fusion	fusion	NOUN
fcis-2022	115	26	,	,	PUNCT
fcis-2022	115	27	”	"	PUNCT
fcis-2022	115	28	ieee	ieee	NOUN
fcis-2022	115	29	transactions	transaction	NOUN
fcis-2022	115	30	on	on	ADP
fcis-2022	115	31	image	image	NOUN
fcis-2022	115	32	processing	processing	NOUN
fcis-2022	115	33	,	,	PUNCT
fcis-2022	115	34	vol	vol	NOUN
fcis-2022	115	35	.	.	PROPN
fcis-2022	115	36	24	24	NUM
fcis-2022	115	37	,	,	PUNCT
fcis-2022	115	38	no	no	INTJ
fcis-2022	115	39	.	.	NOUN
fcis-2022	115	40	11	11	NUM
fcis-2022	115	41	,	,	PUNCT
fcis-2022	115	42	pp	pp	ADJ
fcis-2022	115	43	.	.	PUNCT
fcis-2022	115	44	3345–3356(2015	3345–3356(2015	NUM
fcis-2022	115	45	)	)	PUNCT
fcis-2022	115	46	.	.	PUNCT
fcis-2022	116	1	[	[	X
fcis-2022	116	2	20	20	NUM
fcis-2022	116	3	]	]	X
fcis-2022	116	4	mittal	mittal	PROPN
fcis-2022	116	5	,	,	PUNCT
fcis-2022	116	6	a.	a.	NOUN
fcis-2022	116	7	,	,	PUNCT
fcis-2022	116	8	sundararajan	sundararajan	NOUN
fcis-2022	116	9	,	,	PUNCT
fcis-2022	116	10	r.	r.	NOUN
fcis-2022	116	11	and	and	CCONJ
fcis-2022	116	12	bovik	bovik	NOUN
fcis-2022	116	13	,	,	PUNCT
fcis-2022	116	14	a.	a.	NOUN
fcis-2022	116	15	,	,	PUNCT
fcis-2022	116	16	“	"	PUNCT
fcis-2022	116	17	making	make	VERB
fcis-2022	116	18	a	a	DET
fcis-2022	116	19	“	"	PUNCT
fcis-2022	116	20	completely	completely	ADV
fcis-2022	116	21	blind	blind	ADJ
fcis-2022	116	22	”	"	PUNCT
fcis-2022	116	23	image	image	NOUN
fcis-2022	116	24	quality	quality	NOUN
fcis-2022	116	25	analyzer	analyzer	NOUN
fcis-2022	116	26	,	,	PUNCT
fcis-2022	116	27	”	"	PUNCT
fcis-2022	116	28	ieee	ieee	NOUN
fcis-2022	116	29	signal	signal	NOUN
fcis-2022	116	30	processing	processing	NOUN
fcis-2022	116	31	letters	letter	NOUN
fcis-2022	116	32	,	,	PUNCT
fcis-2022	116	33	vol	vol	NOUN
fcis-2022	116	34	.	.	PROPN
fcis-2022	116	35	20	20	NUM
fcis-2022	116	36	,	,	PUNCT
fcis-2022	116	37	no	no	INTJ
fcis-2022	116	38	.	.	NOUN
fcis-2022	116	39	3	3	NUM
fcis-2022	116	40	,	,	PUNCT
fcis-2022	116	41	pp	pp	ADJ
fcis-2022	116	42	.	.	PUNCT
fcis-2022	116	43	209–212(2012	209–212(2012	NUM
fcis-2022	116	44	)	)	PUNCT
fcis-2022	116	45	.	.	PUNCT