id	sid	tid	token	lemma	pos
fcis-5412	1	1	frontiers	frontier	NOUN
fcis-5412	1	2	in	in	ADP
fcis-5412	1	3	computing	computing	NOUN
fcis-5412	1	4	and	and	CCONJ
fcis-5412	1	5	intelligent	intelligent	ADJ
fcis-5412	1	6	systems	system	NOUN
fcis-5412	1	7	issn	issn	VERB
fcis-5412	1	8	:	:	PUNCT
fcis-5412	1	9	2832	2832	NUM
fcis-5412	1	10	-	-	SYM
fcis-5412	1	11	6024	6024	NUM
fcis-5412	1	12	|	|	NOUN
fcis-5412	1	13	vol	vol	NOUN
fcis-5412	1	14	.	.	PROPN
fcis-5412	2	1	2	2	NUM
fcis-5412	2	2	,	,	PUNCT
fcis-5412	2	3	no	no	INTJ
fcis-5412	2	4	.	.	NOUN
fcis-5412	2	5	3	3	NUM
fcis-5412	2	6	,	,	PUNCT
fcis-5412	2	7	2022	2022	NUM
fcis-5412	2	8	101	101	NUM
fcis-5412	2	9	a	a	DET
fcis-5412	2	10	lightweight	lightweight	ADJ
fcis-5412	2	11	neural	neural	ADJ
fcis-5412	2	12	network	network	NOUN
fcis-5412	2	13	for	for	ADP
fcis-5412	2	14	palm	palm	NOUN
fcis-5412	2	15	vein	vein	NOUN
fcis-5412	2	16	recognition	recognition	PROPN
fcis-5412	2	17	sifeng	sifeng	PROPN
fcis-5412	2	18	luo	luo	PROPN
fcis-5412	2	19	,	,	PUNCT
fcis-5412	2	20	xi	xi	PROPN
fcis-5412	2	21	huang	huang	PROPN
fcis-5412	2	22	*	*	PROPN
fcis-5412	2	23	college	college	PROPN
fcis-5412	2	24	of	of	ADP
fcis-5412	2	25	photonic	photonic	ADJ
fcis-5412	2	26	and	and	CCONJ
fcis-5412	2	27	electronic	electronic	ADJ
fcis-5412	2	28	engineering	engineering	NOUN
fcis-5412	2	29	,	,	PUNCT
fcis-5412	2	30	fujian	fujian	PROPN
fcis-5412	2	31	normal	normal	ADJ
fcis-5412	2	32	university	university	PROPN
fcis-5412	2	33	,	,	PUNCT
fcis-5412	2	34	fuzhou	fuzhou	PROPN
fcis-5412	2	35	,	,	PUNCT
fcis-5412	2	36	350007	350007	NUM
fcis-5412	2	37	,	,	PUNCT
fcis-5412	2	38	china	china	PROPN
fcis-5412	2	39	*	*	PUNCT
fcis-5412	2	40	corresponding	correspond	VERB
fcis-5412	2	41	author	author	NOUN
fcis-5412	2	42	:	:	PUNCT
fcis-5412	2	43	xi	xi	PROPN
fcis-5412	2	44	huang	huang	PROPN
fcis-5412	2	45	abstract	abstract	PROPN
fcis-5412	2	46	:	:	PUNCT
fcis-5412	2	47	due	due	ADP
fcis-5412	2	48	to	to	ADP
fcis-5412	2	49	the	the	DET
fcis-5412	2	50	advantages	advantage	NOUN
fcis-5412	2	51	of	of	ADP
fcis-5412	2	52	lightweight	lightweight	ADJ
fcis-5412	2	53	networks	network	NOUN
fcis-5412	2	54	such	such	ADJ
fcis-5412	2	55	as	as	ADP
fcis-5412	2	56	efficiency	efficiency	NOUN
fcis-5412	2	57	,	,	PUNCT
fcis-5412	2	58	portability	portability	NOUN
fcis-5412	2	59	,	,	PUNCT
fcis-5412	2	60	and	and	CCONJ
fcis-5412	2	61	fast	fast	ADJ
fcis-5412	2	62	inference	inference	NOUN
fcis-5412	2	63	,	,	PUNCT
fcis-5412	2	64	we	we	PRON
fcis-5412	2	65	propose	propose	VERB
fcis-5412	2	66	a	a	DET
fcis-5412	2	67	palm	palm	NOUN
fcis-5412	2	68	vein	vein	NOUN
fcis-5412	2	69	recognition	recognition	NOUN
fcis-5412	2	70	network	network	NOUN
fcis-5412	2	71	based	base	VERB
fcis-5412	2	72	on	on	ADP
fcis-5412	2	73	lightweight	lightweight	ADJ
fcis-5412	2	74	neural	neural	ADJ
fcis-5412	2	75	networks	network	NOUN
fcis-5412	2	76	.	.	PUNCT
fcis-5412	3	1	the	the	DET
fcis-5412	3	2	network	network	NOUN
fcis-5412	3	3	consists	consist	VERB
fcis-5412	3	4	of	of	ADP
fcis-5412	3	5	three	three	NUM
fcis-5412	3	6	stages	stage	NOUN
fcis-5412	3	7	combining	combine	VERB
fcis-5412	3	8	blocks	block	NOUN
fcis-5412	3	9	of	of	ADP
fcis-5412	3	10	shufflenetv2	shufflenetv2	NOUN
fcis-5412	3	11	,	,	PUNCT
fcis-5412	3	12	blocks	block	NOUN
fcis-5412	3	13	of	of	ADP
fcis-5412	3	14	mobilenetv3	mobilenetv3	PROPN
fcis-5412	3	15	,	,	PUNCT
fcis-5412	3	16	and	and	CCONJ
fcis-5412	3	17	mbconv	mbconv	NOUN
fcis-5412	3	18	of	of	ADP
fcis-5412	3	19	efficientnet	efficientnet	NOUN
fcis-5412	3	20	.	.	PUNCT
fcis-5412	4	1	the	the	DET
fcis-5412	4	2	number	number	NOUN
fcis-5412	4	3	of	of	ADP
fcis-5412	4	4	each	each	DET
fcis-5412	4	5	stage	stage	NOUN
fcis-5412	4	6	in	in	ADP
fcis-5412	4	7	the	the	DET
fcis-5412	4	8	network	network	NOUN
fcis-5412	4	9	is	be	AUX
fcis-5412	4	10	chosen	choose	VERB
fcis-5412	4	11	based	base	VERB
fcis-5412	4	12	on	on	ADP
fcis-5412	4	13	the	the	DET
fcis-5412	4	14	baseline	baseline	NOUN
fcis-5412	4	15	parameters	parameter	NOUN
fcis-5412	4	16	and	and	CCONJ
fcis-5412	4	17	computational	computational	ADJ
fcis-5412	4	18	effort	effort	NOUN
fcis-5412	4	19	,	,	PUNCT
fcis-5412	4	20	and	and	CCONJ
fcis-5412	4	21	the	the	DET
fcis-5412	4	22	expansion	expansion	NOUN
fcis-5412	4	23	factors	factor	NOUN
fcis-5412	4	24	are	be	AUX
fcis-5412	4	25	re	re	VERB
fcis-5412	4	26	-	-	VERB
fcis-5412	4	27	analyzed	analyze	VERB
fcis-5412	4	28	and	and	CCONJ
fcis-5412	4	29	selected	select	VERB
fcis-5412	4	30	.	.	PUNCT
fcis-5412	5	1	the	the	DET
fcis-5412	5	2	performance	performance	NOUN
fcis-5412	5	3	of	of	ADP
fcis-5412	5	4	the	the	DET
fcis-5412	5	5	proposed	propose	VERB
fcis-5412	5	6	network	network	NOUN
fcis-5412	5	7	is	be	AUX
fcis-5412	5	8	compared	compare	VERB
fcis-5412	5	9	to	to	ADP
fcis-5412	5	10	the	the	DET
fcis-5412	5	11	baseline	baseline	NOUN
fcis-5412	5	12	with	with	ADP
fcis-5412	5	13	a	a	DET
fcis-5412	5	14	16.78	16.78	NUM
fcis-5412	5	15	%	%	NOUN
fcis-5412	5	16	reduction	reduction	NOUN
fcis-5412	5	17	in	in	ADP
fcis-5412	5	18	error	error	NOUN
fcis-5412	5	19	rate	rate	NOUN
fcis-5412	5	20	and	and	CCONJ
fcis-5412	5	21	a	a	DET
fcis-5412	5	22	10.91	10.91	NUM
fcis-5412	5	23	%	%	NOUN
fcis-5412	5	24	compression	compression	NOUN
fcis-5412	5	25	of	of	ADP
fcis-5412	5	26	parameters	parameter	NOUN
fcis-5412	5	27	.	.	PUNCT
fcis-5412	6	1	the	the	DET
fcis-5412	6	2	experimental	experimental	ADJ
fcis-5412	6	3	results	result	NOUN
fcis-5412	6	4	show	show	VERB
fcis-5412	6	5	that	that	SCONJ
fcis-5412	6	6	the	the	DET
fcis-5412	6	7	proposed	propose	VERB
fcis-5412	6	8	palm	palm	NOUN
fcis-5412	6	9	vein	vein	NOUN
fcis-5412	6	10	recognition	recognition	NOUN
fcis-5412	6	11	network	network	NOUN
fcis-5412	6	12	is	be	AUX
fcis-5412	6	13	effective	effective	ADJ
fcis-5412	6	14	,	,	PUNCT
fcis-5412	6	15	which	which	PRON
fcis-5412	6	16	can	can	AUX
fcis-5412	6	17	potentially	potentially	ADV
fcis-5412	6	18	contribute	contribute	VERB
fcis-5412	6	19	to	to	ADP
fcis-5412	6	20	the	the	DET
fcis-5412	6	21	development	development	NOUN
fcis-5412	6	22	of	of	ADP
fcis-5412	6	23	more	more	ADV
fcis-5412	6	24	accurate	accurate	ADJ
fcis-5412	6	25	,	,	PUNCT
fcis-5412	6	26	portable	portable	ADJ
fcis-5412	6	27	and	and	CCONJ
fcis-5412	6	28	reliable	reliable	ADJ
fcis-5412	6	29	biometric	biometric	ADJ
fcis-5412	6	30	systems	system	NOUN
fcis-5412	6	31	.	.	PUNCT
fcis-5412	7	1	keywords	keyword	NOUN
fcis-5412	7	2	:	:	PUNCT
fcis-5412	7	3	plam	plam	PROPN
fcis-5412	7	4	vein	vein	NOUN
fcis-5412	7	5	;	;	PUNCT
fcis-5412	7	6	lightweight	lightweight	ADJ
fcis-5412	7	7	neural	neural	ADJ
fcis-5412	7	8	network	network	NOUN
fcis-5412	7	9	;	;	PUNCT
fcis-5412	7	10	attention	attention	NOUN
fcis-5412	7	11	mechanism	mechanism	NOUN
fcis-5412	7	12	.	.	PUNCT
fcis-5412	8	1	1	1	X
fcis-5412	8	2	.	.	X
fcis-5412	8	3	introduction	introduction	NOUN
fcis-5412	8	4	with	with	ADP
fcis-5412	8	5	the	the	DET
fcis-5412	8	6	rapid	rapid	ADJ
fcis-5412	8	7	development	development	NOUN
fcis-5412	8	8	of	of	ADP
fcis-5412	8	9	technology	technology	NOUN
fcis-5412	8	10	,	,	PUNCT
fcis-5412	8	11	there	there	PRON
fcis-5412	8	12	are	be	VERB
fcis-5412	8	13	not	not	PART
fcis-5412	8	14	only	only	ADV
fcis-5412	8	15	traditional	traditional	ADJ
fcis-5412	8	16	identification	identification	NOUN
fcis-5412	8	17	technologies	technology	NOUN
fcis-5412	8	18	in	in	ADP
fcis-5412	8	19	the	the	DET
fcis-5412	8	20	field	field	NOUN
fcis-5412	8	21	of	of	ADP
fcis-5412	8	22	recognition	recognition	NOUN
fcis-5412	8	23	,	,	PUNCT
fcis-5412	8	24	but	but	CCONJ
fcis-5412	8	25	also	also	ADV
fcis-5412	8	26	some	some	DET
fcis-5412	8	27	more	more	ADV
fcis-5412	8	28	convenient	convenient	ADJ
fcis-5412	8	29	biometric	biometric	ADJ
fcis-5412	8	30	technologies	technology	NOUN
fcis-5412	8	31	.	.	PUNCT
fcis-5412	9	1	palm	palm	NOUN
fcis-5412	9	2	vein	vein	NOUN
fcis-5412	9	3	recognition	recognition	NOUN
fcis-5412	9	4	is	be	AUX
fcis-5412	9	5	a	a	DET
fcis-5412	9	6	modern	modern	ADJ
fcis-5412	9	7	biometricbased	biometricbase	VERB
fcis-5412	9	8	technology	technology	NOUN
fcis-5412	9	9	that	that	PRON
fcis-5412	9	10	uses	use	VERB
fcis-5412	9	11	the	the	DET
fcis-5412	9	12	unique	unique	ADJ
fcis-5412	9	13	vein	vein	ADJ
fcis-5412	9	14	pattern	pattern	NOUN
fcis-5412	9	15	in	in	ADP
fcis-5412	9	16	the	the	DET
fcis-5412	9	17	palm	palm	NOUN
fcis-5412	9	18	of	of	ADP
fcis-5412	9	19	the	the	DET
fcis-5412	9	20	hand	hand	NOUN
fcis-5412	9	21	as	as	ADP
fcis-5412	9	22	a	a	DET
fcis-5412	9	23	means	means	NOUN
fcis-5412	9	24	of	of	ADP
fcis-5412	9	25	personal	personal	ADJ
fcis-5412	9	26	identification	identification	NOUN
fcis-5412	9	27	.	.	PUNCT
fcis-5412	10	1	unlike	unlike	ADP
fcis-5412	10	2	most	most	ADJ
fcis-5412	10	3	biometric	biometric	ADJ
fcis-5412	10	4	technologies	technology	NOUN
fcis-5412	10	5	,	,	PUNCT
fcis-5412	10	6	palm	palm	NOUN
fcis-5412	10	7	veins	vein	NOUN
fcis-5412	10	8	are	be	AUX
fcis-5412	10	9	stable	stable	ADJ
fcis-5412	10	10	,	,	PUNCT
fcis-5412	10	11	unique	unique	ADJ
fcis-5412	10	12	,	,	PUNCT
fcis-5412	10	13	not	not	PART
fcis-5412	10	14	particularly	particularly	ADV
fcis-5412	10	15	sensitive	sensitive	ADJ
fcis-5412	10	16	to	to	ADP
fcis-5412	10	17	external	external	ADJ
fcis-5412	10	18	conditions	condition	NOUN
fcis-5412	10	19	,	,	PUNCT
fcis-5412	10	20	and	and	CCONJ
fcis-5412	10	21	have	have	VERB
fcis-5412	10	22	high	high	ADJ
fcis-5412	10	23	user	user	NOUN
fcis-5412	10	24	acceptance	acceptance	NOUN
fcis-5412	10	25	and	and	CCONJ
fcis-5412	10	26	high	high	ADJ
fcis-5412	10	27	anti	anti	ADJ
fcis-5412	10	28	-	-	ADJ
fcis-5412	10	29	counterfeiting	counterfeiting	ADJ
fcis-5412	10	30	capabilities	capability	NOUN
fcis-5412	10	31	.	.	PUNCT
fcis-5412	11	1	palm	palm	NOUN
fcis-5412	11	2	vein	vein	NOUN
fcis-5412	11	3	recognition	recognition	NOUN
fcis-5412	11	4	has	have	VERB
fcis-5412	11	5	a	a	DET
fcis-5412	11	6	wide	wide	ADJ
fcis-5412	11	7	range	range	NOUN
fcis-5412	11	8	of	of	ADP
fcis-5412	11	9	application	application	NOUN
fcis-5412	11	10	scenarios	scenario	NOUN
fcis-5412	11	11	,	,	PUNCT
fcis-5412	11	12	such	such	ADJ
fcis-5412	11	13	as	as	ADP
fcis-5412	11	14	banking	banking	NOUN
fcis-5412	11	15	,	,	PUNCT
fcis-5412	11	16	finance	finance	NOUN
fcis-5412	11	17	,	,	PUNCT
fcis-5412	11	18	healthcare	healthcare	PROPN
fcis-5412	11	19	,	,	PUNCT
fcis-5412	11	20	government	government	NOUN
fcis-5412	11	21	agencies	agency	NOUN
fcis-5412	11	22	,	,	PUNCT
fcis-5412	11	23	etc	etc	X
fcis-5412	11	24	.	.	X
fcis-5412	11	25	in	in	ADP
fcis-5412	11	26	the	the	DET
fcis-5412	11	27	financial	financial	ADJ
fcis-5412	11	28	industry	industry	NOUN
fcis-5412	11	29	,	,	PUNCT
fcis-5412	11	30	palm	palm	NOUN
fcis-5412	11	31	vein	vein	NOUN
fcis-5412	11	32	recognition	recognition	NOUN
fcis-5412	11	33	can	can	AUX
fcis-5412	11	34	be	be	AUX
fcis-5412	11	35	used	use	VERB
fcis-5412	11	36	in	in	ADP
fcis-5412	11	37	atm	atm	PROPN
fcis-5412	11	38	machines	machine	NOUN
fcis-5412	11	39	,	,	PUNCT
fcis-5412	11	40	mobile	mobile	ADJ
fcis-5412	11	41	payment	payment	NOUN
fcis-5412	11	42	and	and	CCONJ
fcis-5412	11	43	other	other	ADJ
fcis-5412	11	44	scenarios	scenario	NOUN
fcis-5412	11	45	.	.	PUNCT
fcis-5412	12	1	in	in	ADP
fcis-5412	12	2	the	the	DET
fcis-5412	12	3	medical	medical	ADJ
fcis-5412	12	4	field	field	NOUN
fcis-5412	12	5	,	,	PUNCT
fcis-5412	12	6	palm	palm	NOUN
fcis-5412	12	7	vein	vein	NOUN
fcis-5412	12	8	recognition	recognition	NOUN
fcis-5412	12	9	can	can	AUX
fcis-5412	12	10	be	be	AUX
fcis-5412	12	11	used	use	VERB
fcis-5412	12	12	for	for	ADP
fcis-5412	12	13	the	the	DET
fcis-5412	12	14	management	management	NOUN
fcis-5412	12	15	of	of	ADP
fcis-5412	12	16	electronic	electronic	ADJ
fcis-5412	12	17	medical	medical	ADJ
fcis-5412	12	18	records	record	NOUN
fcis-5412	12	19	and	and	CCONJ
fcis-5412	12	20	the	the	DET
fcis-5412	12	21	control	control	NOUN
fcis-5412	12	22	of	of	ADP
fcis-5412	12	23	medical	medical	ADJ
fcis-5412	12	24	equipment	equipment	NOUN
fcis-5412	12	25	.	.	PUNCT
fcis-5412	13	1	in	in	ADP
fcis-5412	13	2	government	government	NOUN
fcis-5412	13	3	agencies	agency	NOUN
fcis-5412	13	4	,	,	PUNCT
fcis-5412	13	5	palm	palm	NOUN
fcis-5412	13	6	vein	vein	NOUN
fcis-5412	13	7	recognition	recognition	NOUN
fcis-5412	13	8	can	can	AUX
fcis-5412	13	9	be	be	AUX
fcis-5412	13	10	used	use	VERB
fcis-5412	13	11	for	for	ADP
fcis-5412	13	12	i	i	PROPN
fcis-5412	13	13	d	d	PROPN
fcis-5412	13	14	card	card	NOUN
fcis-5412	13	15	processing	processing	NOUN
fcis-5412	13	16	and	and	CCONJ
fcis-5412	13	17	public	public	ADJ
fcis-5412	13	18	security	security	NOUN
fcis-5412	13	19	and	and	CCONJ
fcis-5412	13	20	other	other	ADJ
fcis-5412	13	21	fields	field	NOUN
fcis-5412	13	22	.	.	PUNCT
fcis-5412	14	1	the	the	DET
fcis-5412	14	2	traditional	traditional	ADJ
fcis-5412	14	3	designs	design	NOUN
fcis-5412	14	4	of	of	ADP
fcis-5412	14	5	palm	palm	NOUN
fcis-5412	14	6	vein	vein	ADJ
fcis-5412	14	7	feature	feature	NOUN
fcis-5412	14	8	extraction	extraction	NOUN
fcis-5412	14	9	and	and	CCONJ
fcis-5412	14	10	recognition	recognition	NOUN
fcis-5412	14	11	are	be	AUX
fcis-5412	14	12	summarized	summarize	VERB
fcis-5412	14	13	into	into	ADP
fcis-5412	14	14	3	3	NUM
fcis-5412	14	15	ways	way	NOUN
fcis-5412	14	16	.	.	PUNCT
fcis-5412	15	1	the	the	DET
fcis-5412	15	2	first	first	ADJ
fcis-5412	15	3	one	one	NUM
fcis-5412	15	4	is	be	AUX
fcis-5412	15	5	based	base	VERB
fcis-5412	15	6	on	on	ADP
fcis-5412	15	7	structural	structural	ADJ
fcis-5412	15	8	features	feature	NOUN
fcis-5412	15	9	,	,	PUNCT
fcis-5412	15	10	where	where	SCONJ
fcis-5412	15	11	geometric	geometric	ADJ
fcis-5412	15	12	features	feature	NOUN
fcis-5412	15	13	(	(	PUNCT
fcis-5412	15	14	angular	angular	ADJ
fcis-5412	15	15	features	feature	NOUN
fcis-5412	15	16	and	and	CCONJ
fcis-5412	15	17	point	point	NOUN
fcis-5412	15	18	features	feature	NOUN
fcis-5412	15	19	)	)	PUNCT
fcis-5412	15	20	of	of	ADP
fcis-5412	15	21	veins	vein	NOUN
fcis-5412	15	22	are	be	AUX
fcis-5412	15	23	extracted	extract	VERB
fcis-5412	15	24	.	.	PUNCT
fcis-5412	16	1	such	such	ADJ
fcis-5412	16	2	as	as	ADP
fcis-5412	16	3	ladoux	ladoux	NOUN
fcis-5412	16	4	p	p	X
fcis-5412	16	5	o	o	NOUN
fcis-5412	16	6	et	et	NOUN
fcis-5412	16	7	al.[1	al.[1	NOUN
fcis-5412	16	8	]	]	PUNCT
fcis-5412	16	9	extracted	extract	VERB
fcis-5412	16	10	point	point	NOUN
fcis-5412	16	11	features	feature	NOUN
fcis-5412	16	12	by	by	ADP
fcis-5412	16	13	scale	scale	NOUN
fcis-5412	16	14	invariant	invariant	ADJ
fcis-5412	16	15	feature	feature	NOUN
fcis-5412	16	16	transform	transform	NOUN
fcis-5412	16	17	(	(	PUNCT
fcis-5412	16	18	sift	sift	NOUN
fcis-5412	16	19	)	)	PUNCT
fcis-5412	16	20	for	for	ADP
fcis-5412	16	21	recognition	recognition	NOUN
fcis-5412	16	22	.	.	PUNCT
fcis-5412	17	1	the	the	DET
fcis-5412	17	2	second	second	ADJ
fcis-5412	17	3	one	one	NOUN
fcis-5412	17	4	is	be	AUX
fcis-5412	17	5	based	base	VERB
fcis-5412	17	6	on	on	ADP
fcis-5412	17	7	texture	texture	ADJ
fcis-5412	17	8	features	feature	NOUN
fcis-5412	17	9	,	,	PUNCT
fcis-5412	17	10	where	where	SCONJ
fcis-5412	17	11	the	the	DET
fcis-5412	17	12	palm	palm	NOUN
fcis-5412	17	13	vein	vein	NOUN
fcis-5412	17	14	images	image	NOUN
fcis-5412	17	15	are	be	AUX
fcis-5412	17	16	used	use	VERB
fcis-5412	17	17	as	as	ADP
fcis-5412	17	18	texture	texture	ADJ
fcis-5412	17	19	images	image	NOUN
fcis-5412	17	20	from	from	SCONJ
fcis-5412	17	21	which	which	DET
fcis-5412	17	22	texture	texture	NOUN
fcis-5412	17	23	features	feature	NOUN
fcis-5412	17	24	are	be	AUX
fcis-5412	17	25	extracted	extract	VERB
fcis-5412	17	26	.	.	PUNCT
fcis-5412	18	1	for	for	ADP
fcis-5412	18	2	example	example	NOUN
fcis-5412	18	3	,	,	PUNCT
fcis-5412	18	4	g	g	PROPN
fcis-5412	18	5	k	k	PROPN
fcis-5412	18	6	o	o	PROPN
fcis-5412	18	7	michael	michael	PROPN
fcis-5412	18	8	et	et	PROPN
fcis-5412	18	9	al.[2	al.[2	PROPN
fcis-5412	18	10	]	]	PUNCT
fcis-5412	18	11	extracted	extract	VERB
fcis-5412	18	12	the	the	DET
fcis-5412	18	13	main	main	ADJ
fcis-5412	18	14	texture	texture	NOUN
fcis-5412	18	15	features	feature	NOUN
fcis-5412	18	16	of	of	ADP
fcis-5412	18	17	veins	vein	NOUN
fcis-5412	18	18	by	by	ADP
fcis-5412	18	19	radom	radom	NOUN
fcis-5412	18	20	transform	transform	NOUN
fcis-5412	18	21	combined	combine	VERB
fcis-5412	18	22	with	with	ADP
fcis-5412	18	23	discrete	discrete	ADJ
fcis-5412	18	24	cosine	cosine	NOUN
fcis-5412	18	25	transformation	transformation	NOUN
fcis-5412	18	26	(	(	PUNCT
fcis-5412	18	27	dct	dct	PROPN
fcis-5412	18	28	)	)	PUNCT
fcis-5412	18	29	and	and	CCONJ
fcis-5412	18	30	matched	match	VERB
fcis-5412	18	31	them	they	PRON
fcis-5412	18	32	with	with	ADP
fcis-5412	18	33	euclidean	euclidean	ADJ
fcis-5412	18	34	distance	distance	NOUN
fcis-5412	18	35	.	.	PUNCT
fcis-5412	19	1	the	the	DET
fcis-5412	19	2	third	third	NOUN
fcis-5412	19	3	is	be	AUX
fcis-5412	19	4	a	a	DET
fcis-5412	19	5	subspace	subspace	NOUN
fcis-5412	19	6	-	-	PUNCT
fcis-5412	19	7	based	base	VERB
fcis-5412	19	8	approach	approach	NOUN
fcis-5412	19	9	,	,	PUNCT
fcis-5412	19	10	which	which	PRON
fcis-5412	19	11	views	view	VERB
fcis-5412	19	12	the	the	DET
fcis-5412	19	13	vein	vein	ADJ
fcis-5412	19	14	image	image	NOUN
fcis-5412	19	15	as	as	ADP
fcis-5412	19	16	a	a	DET
fcis-5412	19	17	high	high	ADV
fcis-5412	19	18	-	-	PUNCT
fcis-5412	19	19	dimensional	dimensional	ADJ
fcis-5412	19	20	matrix	matrix	NOUN
fcis-5412	19	21	and	and	CCONJ
fcis-5412	19	22	uses	use	VERB
fcis-5412	19	23	a	a	DET
fcis-5412	19	24	downscaling	downscaling	NOUN
fcis-5412	19	25	into	into	ADP
fcis-5412	19	26	a	a	DET
fcis-5412	19	27	lowdimensional	lowdimensional	ADJ
fcis-5412	19	28	one	one	NOUN
fcis-5412	19	29	for	for	ADP
fcis-5412	19	30	recognition	recognition	NOUN
fcis-5412	19	31	in	in	ADP
fcis-5412	19	32	the	the	DET
fcis-5412	19	33	low	low	ADJ
fcis-5412	19	34	-	-	PUNCT
fcis-5412	19	35	dimensional	dimensional	ADJ
fcis-5412	19	36	space	space	NOUN
fcis-5412	19	37	.	.	PUNCT
fcis-5412	20	1	such	such	ADJ
fcis-5412	20	2	as	as	ADP
fcis-5412	20	3	j	j	PROPN
fcis-5412	20	4	g	g	PROPN
fcis-5412	20	5	wang	wang	PROPN
fcis-5412	20	6	et	et	PROPN
fcis-5412	20	7	al.[3	al.[3	PROPN
fcis-5412	20	8	]	]	PUNCT
fcis-5412	20	9	used	use	VERB
fcis-5412	20	10	pca	pca	NOUN
fcis-5412	20	11	algorithm	algorithm	NOUN
fcis-5412	20	12	to	to	ADP
fcis-5412	20	13	downscale	downscale	VERB
fcis-5412	20	14	the	the	DET
fcis-5412	20	15	image	image	NOUN
fcis-5412	20	16	and	and	CCONJ
fcis-5412	20	17	then	then	ADV
fcis-5412	20	18	used	use	VERB
fcis-5412	20	19	local	local	ADJ
fcis-5412	20	20	hold	hold	NOUN
fcis-5412	20	21	projection	projection	NOUN
fcis-5412	20	22	(	(	PUNCT
fcis-5412	20	23	lpp	lpp	PROPN
fcis-5412	20	24	)	)	PUNCT
fcis-5412	20	25	algorithm	algorithm	NOUN
fcis-5412	20	26	to	to	PART
fcis-5412	20	27	extract	extract	VERB
fcis-5412	20	28	the	the	DET
fcis-5412	20	29	palm	palm	NOUN
fcis-5412	20	30	vein	vein	NOUN
fcis-5412	20	31	image	image	NOUN
fcis-5412	20	32	features	feature	NOUN
fcis-5412	20	33	.	.	PUNCT
fcis-5412	21	1	since	since	SCONJ
fcis-5412	21	2	the	the	DET
fcis-5412	21	3	traditional	traditional	ADJ
fcis-5412	21	4	method	method	NOUN
fcis-5412	21	5	requires	require	VERB
fcis-5412	21	6	the	the	DET
fcis-5412	21	7	researcher	researcher	NOUN
fcis-5412	21	8	to	to	PART
fcis-5412	21	9	design	design	VERB
fcis-5412	21	10	the	the	DET
fcis-5412	21	11	corresponding	corresponding	ADJ
fcis-5412	21	12	algorithm	algorithm	NOUN
fcis-5412	21	13	for	for	ADP
fcis-5412	21	14	feature	feature	NOUN
fcis-5412	21	15	extraction	extraction	NOUN
fcis-5412	21	16	based	base	VERB
fcis-5412	21	17	on	on	ADP
fcis-5412	21	18	experience	experience	NOUN
fcis-5412	21	19	and	and	CCONJ
fcis-5412	21	20	by	by	ADP
fcis-5412	21	21	studying	study	VERB
fcis-5412	21	22	the	the	DET
fcis-5412	21	23	image	image	NOUN
fcis-5412	21	24	's	's	PART
fcis-5412	21	25	own	own	ADJ
fcis-5412	21	26	features	feature	NOUN
fcis-5412	21	27	.	.	PUNCT
fcis-5412	22	1	with	with	ADP
fcis-5412	22	2	the	the	DET
fcis-5412	22	3	proposed	propose	VERB
fcis-5412	22	4	convolutional	convolutional	ADJ
fcis-5412	22	5	neural	neural	ADJ
fcis-5412	22	6	network	network	NOUN
fcis-5412	22	7	(	(	PUNCT
fcis-5412	22	8	cnn	cnn	PROPN
fcis-5412	22	9	)	)	PUNCT
fcis-5412	22	10	with	with	ADP
fcis-5412	22	11	extremely	extremely	ADV
fcis-5412	22	12	powerful	powerful	ADJ
fcis-5412	22	13	image	image	NOUN
fcis-5412	22	14	feature	feature	NOUN
fcis-5412	22	15	extraction	extraction	NOUN
fcis-5412	22	16	,	,	PUNCT
fcis-5412	22	17	the	the	DET
fcis-5412	22	18	research	research	NOUN
fcis-5412	22	19	no	no	ADV
fcis-5412	22	20	longer	long	ADV
fcis-5412	22	21	needs	need	VERB
fcis-5412	22	22	to	to	PART
fcis-5412	22	23	design	design	VERB
fcis-5412	22	24	features	feature	NOUN
fcis-5412	22	25	manually	manually	ADV
fcis-5412	22	26	.	.	PUNCT
fcis-5412	23	1	tarawneh	tarawneh	PROPN
fcis-5412	23	2	et	et	PROPN
fcis-5412	23	3	al.[4	al.[4	PROPN
fcis-5412	23	4	]	]	PUNCT
fcis-5412	23	5	used	use	VERB
fcis-5412	23	6	pre	pre	ADJ
fcis-5412	23	7	-	-	ADJ
fcis-5412	23	8	trained	train	VERB
fcis-5412	23	9	cnns	cnn	NOUN
fcis-5412	23	10	such	such	ADJ
fcis-5412	23	11	as	as	ADP
fcis-5412	23	12	alexnet	alexnet	NOUN
fcis-5412	23	13	,	,	PUNCT
fcis-5412	23	14	vgg-16	vgg-16	NOUN
fcis-5412	23	15	and	and	CCONJ
fcis-5412	23	16	vgg-19	vgg-19	NUM
fcis-5412	23	17	for	for	ADP
fcis-5412	23	18	palm	palm	NOUN
fcis-5412	23	19	vein	vein	NOUN
fcis-5412	23	20	image	image	NOUN
fcis-5412	23	21	feature	feature	NOUN
fcis-5412	23	22	extraction	extraction	NOUN
fcis-5412	23	23	.	.	PUNCT
fcis-5412	24	1	jiashu	jiashu	PROPN
fcis-5412	24	2	lou	lou	PROPN
fcis-5412	24	3	et	et	PROPN
fcis-5412	24	4	al.[5	al.[5	PROPN
fcis-5412	24	5	]	]	PUNCT
fcis-5412	24	6	used	use	VERB
fcis-5412	24	7	the	the	DET
fcis-5412	24	8	cnn	cnn	PROPN
fcis-5412	24	9	with	with	ADP
fcis-5412	24	10	vgg-16	vgg-16	NOUN
fcis-5412	24	11	fused	fuse	VERB
fcis-5412	24	12	attention	attention	NOUN
fcis-5412	24	13	mechanism	mechanism	NOUN
fcis-5412	24	14	as	as	ADP
fcis-5412	24	15	a	a	DET
fcis-5412	24	16	feature	feature	NOUN
fcis-5412	24	17	extraction	extraction	NOUN
fcis-5412	24	18	network	network	NOUN
fcis-5412	24	19	on	on	ADP
fcis-5412	24	20	infrared	infrared	ADJ
fcis-5412	24	21	palm	palm	PROPN
fcis-5412	24	22	vein	vein	PROPN
fcis-5412	24	23	dataset	dataset	NOUN
fcis-5412	24	24	.	.	PUNCT
fcis-5412	25	1	palm	palm	NOUN
fcis-5412	25	2	vein	vein	NOUN
fcis-5412	25	3	recognition	recognition	NOUN
fcis-5412	25	4	using	use	VERB
fcis-5412	25	5	deep	deep	ADJ
fcis-5412	25	6	learning	learning	NOUN
fcis-5412	25	7	process	process	NOUN
fcis-5412	25	8	may	may	AUX
fcis-5412	25	9	lead	lead	VERB
fcis-5412	25	10	to	to	ADP
fcis-5412	25	11	longer	long	ADJ
fcis-5412	25	12	computation	computation	VERB
fcis-5412	25	13	time	time	NOUN
fcis-5412	25	14	and	and	CCONJ
fcis-5412	25	15	higher	high	ADJ
fcis-5412	25	16	storage	storage	NOUN
fcis-5412	25	17	footprint	footprint	NOUN
fcis-5412	25	18	for	for	ADP
fcis-5412	25	19	resource	resource	NOUN
fcis-5412	25	20	limited	limited	ADJ
fcis-5412	25	21	devices	device	NOUN
fcis-5412	25	22	.	.	PUNCT
fcis-5412	26	1	so	so	ADV
fcis-5412	26	2	the	the	DET
fcis-5412	26	3	classical	classical	ADJ
fcis-5412	26	4	convolutional	convolutional	ADJ
fcis-5412	26	5	neural	neural	ADJ
fcis-5412	26	6	network	network	NOUN
fcis-5412	26	7	is	be	AUX
fcis-5412	26	8	no	no	ADV
fcis-5412	26	9	longer	long	ADV
fcis-5412	26	10	suitable	suitable	ADJ
fcis-5412	26	11	for	for	ADP
fcis-5412	26	12	this	this	DET
fcis-5412	26	13	scenario	scenario	NOUN
fcis-5412	26	14	.	.	PUNCT
fcis-5412	27	1	it	it	PRON
fcis-5412	27	2	is	be	AUX
fcis-5412	27	3	crucial	crucial	ADJ
fcis-5412	27	4	to	to	PART
fcis-5412	27	5	choose	choose	VERB
fcis-5412	27	6	a	a	DET
fcis-5412	27	7	more	more	ADV
fcis-5412	27	8	suitable	suitable	ADJ
fcis-5412	27	9	lightweight	lightweight	ADJ
fcis-5412	27	10	neural	neural	ADJ
fcis-5412	27	11	network	network	NOUN
fcis-5412	27	12	.	.	PUNCT
fcis-5412	28	1	in	in	ADP
fcis-5412	28	2	this	this	DET
fcis-5412	28	3	paper	paper	NOUN
fcis-5412	28	4	,	,	PUNCT
fcis-5412	28	5	we	we	PRON
fcis-5412	28	6	re	re	VERB
fcis-5412	28	7	-	-	VERB
fcis-5412	28	8	analyze	analyze	VERB
fcis-5412	28	9	the	the	DET
fcis-5412	28	10	principles	principle	NOUN
fcis-5412	28	11	of	of	ADP
fcis-5412	28	12	each	each	DET
fcis-5412	28	13	block	block	NOUN
fcis-5412	28	14	structure	structure	NOUN
fcis-5412	28	15	of	of	ADP
fcis-5412	28	16	the	the	DET
fcis-5412	28	17	classical	classical	ADJ
fcis-5412	28	18	lightweight	lightweight	ADJ
fcis-5412	28	19	model	model	NOUN
fcis-5412	28	20	and	and	CCONJ
fcis-5412	28	21	design	design	VERB
fcis-5412	28	22	a	a	DET
fcis-5412	28	23	lightweight	lightweight	ADJ
fcis-5412	28	24	network	network	NOUN
fcis-5412	28	25	model	model	NOUN
fcis-5412	28	26	suitable	suitable	ADJ
fcis-5412	28	27	for	for	ADP
fcis-5412	28	28	the	the	DET
fcis-5412	28	29	scenario	scenario	NOUN
fcis-5412	28	30	of	of	ADP
fcis-5412	28	31	palm	palm	NOUN
fcis-5412	28	32	vein	vein	NOUN
fcis-5412	28	33	recognition	recognition	NOUN
fcis-5412	28	34	applications	application	NOUN
fcis-5412	28	35	by	by	ADP
fcis-5412	28	36	combining	combine	VERB
fcis-5412	28	37	various	various	ADJ
fcis-5412	28	38	effective	effective	ADJ
fcis-5412	28	39	modules	module	NOUN
fcis-5412	28	40	,	,	PUNCT
fcis-5412	28	41	further	far	ADV
fcis-5412	28	42	optimizing	optimize	VERB
fcis-5412	28	43	each	each	DET
fcis-5412	28	44	parameter	parameter	NOUN
fcis-5412	28	45	of	of	ADP
fcis-5412	28	46	the	the	DET
fcis-5412	28	47	network	network	NOUN
fcis-5412	28	48	to	to	PART
fcis-5412	28	49	obtain	obtain	VERB
fcis-5412	28	50	better	well	ADJ
fcis-5412	28	51	results	result	NOUN
fcis-5412	28	52	than	than	ADP
fcis-5412	28	53	the	the	DET
fcis-5412	28	54	baseline	baseline	NOUN
fcis-5412	28	55	model	model	NOUN
fcis-5412	28	56	on	on	ADP
fcis-5412	28	57	the	the	DET
fcis-5412	28	58	casia	casia	NOUN
fcis-5412	28	59	dataset	dataset	NOUN
fcis-5412	28	60	.	.	PUNCT
fcis-5412	29	1	2	2	X
fcis-5412	29	2	.	.	X
fcis-5412	29	3	related	relate	VERB
fcis-5412	29	4	theory	theory	NOUN
fcis-5412	29	5	2.1	2.1	NUM
fcis-5412	29	6	.	.	PUNCT
fcis-5412	30	1	palm	palm	NOUN
fcis-5412	30	2	vein	vein	NOUN
fcis-5412	30	3	recognition	recognition	NOUN
fcis-5412	30	4	the	the	DET
fcis-5412	30	5	current	current	ADJ
fcis-5412	30	6	basic	basic	ADJ
fcis-5412	30	7	process	process	NOUN
fcis-5412	30	8	of	of	ADP
fcis-5412	30	9	palm	palm	NOUN
fcis-5412	30	10	vein	vein	NOUN
fcis-5412	30	11	recognition	recognition	NOUN
fcis-5412	30	12	:	:	PUNCT
fcis-5412	30	13	image	image	NOUN
fcis-5412	30	14	preprocessing	preprocessing	NOUN
fcis-5412	30	15	,	,	PUNCT
fcis-5412	30	16	image	image	NOUN
fcis-5412	30	17	feature	feature	NOUN
fcis-5412	30	18	extraction	extraction	NOUN
fcis-5412	30	19	and	and	CCONJ
fcis-5412	30	20	recognition	recognition	NOUN
fcis-5412	30	21	.	.	PUNCT
fcis-5412	31	1	since	since	SCONJ
fcis-5412	31	2	the	the	DET
fcis-5412	31	3	hemoglobin	hemoglobin	NOUN
fcis-5412	31	4	in	in	ADP
fcis-5412	31	5	the	the	DET
fcis-5412	31	6	palm	palm	NOUN
fcis-5412	31	7	veins	vein	NOUN
fcis-5412	31	8	absorbs	absorb	VERB
fcis-5412	31	9	nir	nir	ADJ
fcis-5412	31	10	light	light	NOUN
fcis-5412	31	11	better	well	ADV
fcis-5412	31	12	than	than	ADP
fcis-5412	31	13	the	the	DET
fcis-5412	31	14	surrounding	surround	VERB
fcis-5412	31	15	tissue	tissue	NOUN
fcis-5412	31	16	,	,	PUNCT
fcis-5412	31	17	the	the	DET
fcis-5412	31	18	light	light	NOUN
fcis-5412	31	19	reflected	reflect	VERB
fcis-5412	31	20	back	back	ADV
fcis-5412	31	21	from	from	ADP
fcis-5412	31	22	the	the	DET
fcis-5412	31	23	palm	palm	NOUN
fcis-5412	31	24	is	be	AUX
fcis-5412	31	25	received	receive	VERB
fcis-5412	31	26	by	by	ADP
fcis-5412	31	27	the	the	DET
fcis-5412	31	28	image	image	NOUN
fcis-5412	31	29	sensor	sensor	NOUN
fcis-5412	31	30	and	and	CCONJ
fcis-5412	31	31	the	the	DET
fcis-5412	31	32	palm	palm	NOUN
fcis-5412	31	33	veins	vein	NOUN
fcis-5412	31	34	can	can	AUX
fcis-5412	31	35	be	be	AUX
fcis-5412	31	36	observed	observe	VERB
fcis-5412	31	37	by	by	ADP
fcis-5412	31	38	an	an	DET
fcis-5412	31	39	optical	optical	ADJ
fcis-5412	31	40	imaging	imaging	NOUN
fcis-5412	31	41	system	system	NOUN
fcis-5412	31	42	.	.	PUNCT
fcis-5412	32	1	most	most	ADJ
fcis-5412	32	2	palm	palm	NOUN
fcis-5412	32	3	vein	vein	NOUN
fcis-5412	32	4	images	image	NOUN
fcis-5412	32	5	are	be	AUX
fcis-5412	32	6	obtained	obtain	VERB
fcis-5412	32	7	by	by	ADP
fcis-5412	32	8	illuminating	illuminate	VERB
fcis-5412	32	9	the	the	DET
fcis-5412	32	10	palm	palm	NOUN
fcis-5412	32	11	with	with	ADP
fcis-5412	32	12	near	near	ADV
fcis-5412	32	13	-	-	PUNCT
fcis-5412	32	14	infrared	infrared	ADJ
fcis-5412	32	15	(	(	PUNCT
fcis-5412	32	16	nir	nir	NOUN
fcis-5412	32	17	)	)	PUNCT
fcis-5412	32	18	light	light	NOUN
fcis-5412	32	19	from	from	ADP
fcis-5412	32	20	720	720	NUM
fcis-5412	32	21	to	to	PART
fcis-5412	32	22	1100	1100	NUM
fcis-5412	32	23	nm	nm	NOUN
fcis-5412	32	24	.	.	PUNCT
fcis-5412	33	1	in	in	ADP
fcis-5412	33	2	order	order	NOUN
fcis-5412	33	3	to	to	PART
fcis-5412	33	4	improve	improve	VERB
fcis-5412	33	5	the	the	DET
fcis-5412	33	6	accuracy	accuracy	NOUN
fcis-5412	33	7	and	and	CCONJ
fcis-5412	33	8	stability	stability	NOUN
fcis-5412	33	9	of	of	ADP
fcis-5412	33	10	recognition	recognition	NOUN
fcis-5412	33	11	,	,	PUNCT
fcis-5412	33	12	the	the	DET
fcis-5412	33	13	acquired	acquire	VERB
fcis-5412	33	14	images	image	NOUN
fcis-5412	33	15	are	be	AUX
fcis-5412	33	16	pre	pre	ADJ
fcis-5412	33	17	-	-	VERB
fcis-5412	33	18	processed	processed	ADJ
fcis-5412	33	19	.	.	PUNCT
fcis-5412	34	1	the	the	DET
fcis-5412	34	2	main	main	ADJ
fcis-5412	34	3	purpose	purpose	NOUN
fcis-5412	34	4	of	of	ADP
fcis-5412	34	5	preprocessing	preprocessing	NOUN
fcis-5412	34	6	is	be	AUX
fcis-5412	34	7	to	to	PART
fcis-5412	34	8	remove	remove	VERB
fcis-5412	34	9	noise	noise	NOUN
fcis-5412	34	10	and	and	CCONJ
fcis-5412	34	11	interference	interference	NOUN
fcis-5412	34	12	from	from	ADP
fcis-5412	34	13	the	the	DET
fcis-5412	34	14	image	image	NOUN
fcis-5412	34	15	while	while	SCONJ
fcis-5412	34	16	extracting	extract	VERB
fcis-5412	34	17	the	the	DET
fcis-5412	34	18	features	feature	NOUN
fcis-5412	34	19	of	of	ADP
fcis-5412	34	20	the	the	DET
fcis-5412	34	21	palm	palm	NOUN
fcis-5412	34	22	vein	vein	NOUN
fcis-5412	34	23	.	.	PUNCT
fcis-5412	35	1	feature	feature	NOUN
fcis-5412	35	2	extraction	extraction	NOUN
fcis-5412	35	3	is	be	AUX
fcis-5412	35	4	the	the	DET
fcis-5412	35	5	core	core	ADJ
fcis-5412	35	6	step	step	NOUN
fcis-5412	35	7	of	of	ADP
fcis-5412	35	8	palm	palm	NOUN
fcis-5412	35	9	vein	vein	NOUN
fcis-5412	35	10	recognition	recognition	PROPN
fcis-5412	35	11	,	,	PUNCT
fcis-5412	35	12	which	which	PRON
fcis-5412	35	13	aims	aim	VERB
fcis-5412	35	14	to	to	PART
fcis-5412	35	15	extract	extract	VERB
fcis-5412	35	16	the	the	DET
fcis-5412	35	17	feature	feature	NOUN
fcis-5412	35	18	vector	vector	NOUN
fcis-5412	35	19	of	of	ADP
fcis-5412	35	20	palm	palm	NOUN
fcis-5412	35	21	vein	vein	NOUN
fcis-5412	35	22	from	from	ADP
fcis-5412	35	23	the	the	DET
fcis-5412	35	24	preprocessed	preprocesse	VERB
fcis-5412	35	25	image	image	NOUN
fcis-5412	35	26	.	.	PUNCT
fcis-5412	36	1	the	the	DET
fcis-5412	36	2	features	feature	NOUN
fcis-5412	36	3	of	of	ADP
fcis-5412	36	4	palm	palm	NOUN
fcis-5412	36	5	veins	vein	NOUN
fcis-5412	36	6	include	include	VERB
fcis-5412	36	7	distribution	distribution	NOUN
fcis-5412	36	8	,	,	PUNCT
fcis-5412	36	9	density	density	NOUN
fcis-5412	36	10	,	,	PUNCT
fcis-5412	36	11	shape	shape	NOUN
fcis-5412	36	12	,	,	PUNCT
fcis-5412	36	13	length	length	NOUN
fcis-5412	36	14	and	and	CCONJ
fcis-5412	36	15	width	width	NOUN
fcis-5412	36	16	of	of	ADP
fcis-5412	36	17	blood	blood	NOUN
fcis-5412	36	18	vessels	vessel	NOUN
fcis-5412	36	19	.	.	PUNCT
fcis-5412	37	1	after	after	ADP
fcis-5412	37	2	feature	feature	NOUN
fcis-5412	37	3	extraction	extraction	NOUN
fcis-5412	37	4	,	,	PUNCT
fcis-5412	37	5	the	the	DET
fcis-5412	37	6	extracted	extract	VERB
fcis-5412	37	7	feature	feature	NOUN
fcis-5412	37	8	vectors	vector	NOUN
fcis-5412	37	9	need	need	VERB
fcis-5412	37	10	to	to	PART
fcis-5412	37	11	be	be	AUX
fcis-5412	37	12	matched	match	VERB
fcis-5412	37	13	with	with	ADP
fcis-5412	37	14	the	the	DET
fcis-5412	37	15	existing	exist	VERB
fcis-5412	37	16	feature	feature	NOUN
fcis-5412	37	17	library	library	NOUN
fcis-5412	37	18	to	to	PART
fcis-5412	37	19	determine	determine	VERB
fcis-5412	37	20	the	the	DET
fcis-5412	37	21	102	102	NUM
fcis-5412	37	22	identity	identity	NOUN
fcis-5412	37	23	of	of	ADP
fcis-5412	37	24	the	the	DET
fcis-5412	37	25	input	input	NOUN
fcis-5412	37	26	image	image	NOUN
fcis-5412	37	27	.	.	PUNCT
fcis-5412	38	1	the	the	DET
fcis-5412	38	2	matching	matching	NOUN
fcis-5412	38	3	methods	method	NOUN
fcis-5412	38	4	include	include	VERB
fcis-5412	38	5	euclidean	euclidean	ADJ
fcis-5412	38	6	distance	distance	NOUN
fcis-5412	38	7	,	,	PUNCT
fcis-5412	38	8	cosine	cosine	NOUN
fcis-5412	38	9	similarity	similarity	NOUN
fcis-5412	38	10	,	,	PUNCT
fcis-5412	38	11	support	support	NOUN
fcis-5412	38	12	vector	vector	NOUN
fcis-5412	38	13	machine	machine	NOUN
fcis-5412	38	14	and	and	CCONJ
fcis-5412	38	15	cnn	cnn	PROPN
fcis-5412	38	16	.	.	PUNCT
fcis-5412	39	1	among	among	ADP
fcis-5412	39	2	them	they	PRON
fcis-5412	39	3	,	,	PUNCT
fcis-5412	39	4	convolutional	convolutional	ADJ
fcis-5412	39	5	neural	neural	ADJ
fcis-5412	39	6	networks	network	NOUN
fcis-5412	39	7	are	be	AUX
fcis-5412	39	8	increasingly	increasingly	ADV
fcis-5412	39	9	used	use	VERB
fcis-5412	39	10	in	in	ADP
fcis-5412	39	11	palm	palm	NOUN
fcis-5412	39	12	vein	vein	NOUN
fcis-5412	39	13	recognition	recognition	NOUN
fcis-5412	39	14	.	.	PUNCT
fcis-5412	40	1	2.2	2.2	NUM
fcis-5412	40	2	.	.	PUNCT
fcis-5412	41	1	lightweight	lightweight	ADJ
fcis-5412	41	2	convolution	convolution	NOUN
fcis-5412	41	3	neural	neural	ADJ
fcis-5412	41	4	network	network	NOUN
fcis-5412	41	5	lightweight	lightweight	VERB
fcis-5412	41	6	convolutional	convolutional	ADJ
fcis-5412	41	7	neural	neural	ADJ
fcis-5412	41	8	networks	network	NOUN
fcis-5412	41	9	(	(	PUNCT
fcis-5412	41	10	lcnns	lcnns	PROPN
fcis-5412	41	11	)	)	PUNCT
fcis-5412	41	12	have	have	VERB
fcis-5412	41	13	a	a	DET
fcis-5412	41	14	relatively	relatively	ADV
fcis-5412	41	15	small	small	ADJ
fcis-5412	41	16	number	number	NOUN
fcis-5412	41	17	of	of	ADP
fcis-5412	41	18	parameters	parameter	NOUN
fcis-5412	41	19	and	and	CCONJ
fcis-5412	41	20	low	low	ADJ
fcis-5412	41	21	computational	computational	ADJ
fcis-5412	41	22	complexity	complexity	NOUN
fcis-5412	41	23	compared	compare	VERB
fcis-5412	41	24	to	to	ADP
fcis-5412	41	25	traditional	traditional	ADJ
fcis-5412	41	26	deep	deep	ADJ
fcis-5412	41	27	neural	neural	ADJ
fcis-5412	41	28	networks	network	NOUN
fcis-5412	41	29	.	.	PUNCT
fcis-5412	42	1	this	this	DET
fcis-5412	42	2	type	type	NOUN
fcis-5412	42	3	of	of	ADP
fcis-5412	42	4	network	network	NOUN
fcis-5412	42	5	is	be	AUX
fcis-5412	42	6	designed	design	VERB
fcis-5412	42	7	to	to	PART
fcis-5412	42	8	obtain	obtain	VERB
fcis-5412	42	9	fast	fast	ADJ
fcis-5412	42	10	and	and	CCONJ
fcis-5412	42	11	efficient	efficient	ADJ
fcis-5412	42	12	performance	performance	NOUN
fcis-5412	42	13	with	with	ADP
fcis-5412	42	14	limited	limited	ADJ
fcis-5412	42	15	hardware	hardware	NOUN
fcis-5412	42	16	resources	resource	NOUN
fcis-5412	42	17	.	.	PUNCT
fcis-5412	43	1	their	their	PRON
fcis-5412	43	2	low	low	ADJ
fcis-5412	43	3	computational	computational	ADJ
fcis-5412	43	4	requirements	requirement	NOUN
fcis-5412	43	5	make	make	VERB
fcis-5412	43	6	them	they	PRON
fcis-5412	43	7	ideal	ideal	ADJ
fcis-5412	43	8	for	for	ADP
fcis-5412	43	9	devices	device	NOUN
fcis-5412	43	10	with	with	ADP
fcis-5412	43	11	limited	limited	ADJ
fcis-5412	43	12	resources	resource	NOUN
fcis-5412	43	13	,	,	PUNCT
fcis-5412	43	14	such	such	ADJ
fcis-5412	43	15	as	as	ADP
fcis-5412	43	16	smartphones	smartphone	NOUN
fcis-5412	43	17	,	,	PUNCT
fcis-5412	43	18	embedded	embed	VERB
fcis-5412	43	19	systems	system	NOUN
fcis-5412	43	20	,	,	PUNCT
fcis-5412	43	21	and	and	CCONJ
fcis-5412	43	22	internet	internet	NOUN
fcis-5412	43	23	of	of	ADP
fcis-5412	43	24	things	thing	NOUN
fcis-5412	43	25	(	(	PUNCT
fcis-5412	43	26	iot	iot	NOUN
fcis-5412	43	27	)	)	PUNCT
fcis-5412	43	28	devices	device	NOUN
fcis-5412	43	29	.	.	PUNCT
fcis-5412	44	1	and	and	CCONJ
fcis-5412	44	2	they	they	PRON
fcis-5412	44	3	also	also	ADV
fcis-5412	44	4	have	have	VERB
fcis-5412	44	5	low	low	ADJ
fcis-5412	44	6	memory	memory	NOUN
fcis-5412	44	7	and	and	CCONJ
fcis-5412	44	8	storage	storage	NOUN
fcis-5412	44	9	requirements	requirement	NOUN
fcis-5412	44	10	,	,	PUNCT
fcis-5412	44	11	making	make	VERB
fcis-5412	44	12	them	they	PRON
fcis-5412	44	13	easier	easy	ADJ
fcis-5412	44	14	to	to	PART
fcis-5412	44	15	deploy	deploy	VERB
fcis-5412	44	16	and	and	CCONJ
fcis-5412	44	17	maintain	maintain	VERB
fcis-5412	44	18	in	in	ADP
fcis-5412	44	19	edge	edge	NOUN
fcis-5412	44	20	computing	computing	NOUN
fcis-5412	44	21	or	or	CCONJ
fcis-5412	44	22	other	other	ADJ
fcis-5412	44	23	iot	iot	ADJ
fcis-5412	44	24	scenarios	scenario	NOUN
fcis-5412	44	25	again	again	ADV
fcis-5412	44	26	.	.	PUNCT
fcis-5412	45	1	however	however	ADV
fcis-5412	45	2	,	,	PUNCT
fcis-5412	45	3	one	one	NUM
fcis-5412	45	4	of	of	ADP
fcis-5412	45	5	the	the	DET
fcis-5412	45	6	main	main	ADJ
fcis-5412	45	7	drawbacks	drawback	NOUN
fcis-5412	45	8	of	of	ADP
fcis-5412	45	9	lightweight	lightweight	ADJ
fcis-5412	45	10	neural	neural	ADJ
fcis-5412	45	11	networks	network	NOUN
fcis-5412	45	12	compared	compare	VERB
fcis-5412	45	13	to	to	ADP
fcis-5412	45	14	traditional	traditional	ADJ
fcis-5412	45	15	deep	deep	ADJ
fcis-5412	45	16	neural	neural	ADJ
fcis-5412	45	17	networks	network	NOUN
fcis-5412	45	18	is	be	AUX
fcis-5412	45	19	their	their	PRON
fcis-5412	45	20	lower	low	ADJ
fcis-5412	45	21	accuracy	accuracy	NOUN
fcis-5412	45	22	.	.	PUNCT
fcis-5412	46	1	therefore	therefore	ADV
fcis-5412	46	2	,	,	PUNCT
fcis-5412	46	3	the	the	DET
fcis-5412	46	4	trade	trade	NOUN
fcis-5412	46	5	-	-	PUNCT
fcis-5412	46	6	off	off	NOUN
fcis-5412	46	7	between	between	ADP
fcis-5412	46	8	model	model	NOUN
fcis-5412	46	9	size	size	NOUN
fcis-5412	46	10	,	,	PUNCT
fcis-5412	46	11	complexity	complexity	NOUN
fcis-5412	46	12	,	,	PUNCT
fcis-5412	46	13	and	and	CCONJ
fcis-5412	46	14	accuracy	accuracy	NOUN
fcis-5412	46	15	must	must	AUX
fcis-5412	46	16	be	be	AUX
fcis-5412	46	17	carefully	carefully	ADV
fcis-5412	46	18	considered	consider	VERB
fcis-5412	46	19	when	when	SCONJ
fcis-5412	46	20	choosing	choose	VERB
fcis-5412	46	21	the	the	DET
fcis-5412	46	22	right	right	ADJ
fcis-5412	46	23	model	model	NOUN
fcis-5412	46	24	for	for	ADP
fcis-5412	46	25	a	a	DET
fcis-5412	46	26	particular	particular	ADJ
fcis-5412	46	27	task	task	NOUN
fcis-5412	46	28	.	.	PUNCT
fcis-5412	47	1	despite	despite	SCONJ
fcis-5412	47	2	these	these	DET
fcis-5412	47	3	limitations	limitation	NOUN
fcis-5412	47	4	,	,	PUNCT
fcis-5412	47	5	lightweight	lightweight	ADJ
fcis-5412	47	6	neural	neural	ADJ
fcis-5412	47	7	networks	network	NOUN
fcis-5412	47	8	have	have	VERB
fcis-5412	47	9	many	many	ADJ
fcis-5412	47	10	applications	application	NOUN
fcis-5412	47	11	,	,	PUNCT
fcis-5412	47	12	including	include	VERB
fcis-5412	47	13	image	image	NOUN
fcis-5412	47	14	classification	classification	NOUN
fcis-5412	47	15	,	,	PUNCT
fcis-5412	47	16	object	object	NOUN
fcis-5412	47	17	detection	detection	NOUN
fcis-5412	47	18	,	,	PUNCT
fcis-5412	47	19	and	and	CCONJ
fcis-5412	47	20	semantic	semantic	ADJ
fcis-5412	47	21	segmentation	segmentation	NOUN
fcis-5412	47	22	.	.	PUNCT
fcis-5412	48	1	low	low	ADJ
fcis-5412	48	2	power	power	NOUN
fcis-5412	48	3	consumption	consumption	NOUN
fcis-5412	48	4	,	,	PUNCT
fcis-5412	48	5	realtime	realtime	NOUN
fcis-5412	48	6	performance	performance	NOUN
fcis-5412	48	7	and	and	CCONJ
fcis-5412	48	8	small	small	ADJ
fcis-5412	48	9	model	model	NOUN
fcis-5412	48	10	sizes	size	NOUN
fcis-5412	48	11	are	be	AUX
fcis-5412	48	12	critical	critical	ADJ
fcis-5412	48	13	in	in	ADP
fcis-5412	48	14	specific	specific	ADJ
fcis-5412	48	15	scenarios	scenario	NOUN
fcis-5412	48	16	.	.	PUNCT
fcis-5412	49	1	they	they	PRON
fcis-5412	49	2	can	can	AUX
fcis-5412	49	3	also	also	ADV
fcis-5412	49	4	be	be	AUX
fcis-5412	49	5	used	use	VERB
fcis-5412	49	6	in	in	ADP
fcis-5412	49	7	collaborative	collaborative	ADJ
fcis-5412	49	8	learning	learning	NOUN
fcis-5412	49	9	systems	system	NOUN
fcis-5412	49	10	,	,	PUNCT
fcis-5412	49	11	where	where	SCONJ
fcis-5412	49	12	multiple	multiple	ADJ
fcis-5412	49	13	lightweight	lightweight	ADJ
fcis-5412	49	14	models	model	NOUN
fcis-5412	49	15	can	can	AUX
fcis-5412	49	16	be	be	AUX
fcis-5412	49	17	trained	train	VERB
fcis-5412	49	18	and	and	CCONJ
fcis-5412	49	19	combined	combine	VERB
fcis-5412	49	20	to	to	PART
fcis-5412	49	21	achieve	achieve	VERB
fcis-5412	49	22	higher	high	ADJ
fcis-5412	49	23	accuracy	accuracy	NOUN
fcis-5412	49	24	.	.	PUNCT
fcis-5412	50	1	to	to	PART
fcis-5412	50	2	achieve	achieve	VERB
fcis-5412	50	3	high	high	ADJ
fcis-5412	50	4	performance	performance	NOUN
fcis-5412	50	5	with	with	ADP
fcis-5412	50	6	fewer	few	ADJ
fcis-5412	50	7	parameters	parameter	NOUN
fcis-5412	50	8	,	,	PUNCT
fcis-5412	50	9	lcnns	lcnns	ADJ
fcis-5412	50	10	use	use	VERB
fcis-5412	50	11	a	a	DET
fcis-5412	50	12	variety	variety	NOUN
fcis-5412	50	13	of	of	ADP
fcis-5412	50	14	techniques	technique	NOUN
fcis-5412	50	15	.	.	PUNCT
fcis-5412	51	1	the	the	DET
fcis-5412	51	2	mobilenets[7	mobilenets[7	NOUN
fcis-5412	51	3	]	]	X
fcis-5412	51	4	network	network	NOUN
fcis-5412	51	5	family	family	NOUN
fcis-5412	51	6	introduces	introduce	VERB
fcis-5412	51	7	depthwise	depthwise	NOUN
fcis-5412	51	8	-	-	PUNCT
fcis-5412	51	9	separable	separable	NOUN
fcis-5412	51	10	convolution	convolution	NOUN
fcis-5412	51	11	as	as	ADP
fcis-5412	51	12	a	a	DET
fcis-5412	51	13	module	module	NOUN
fcis-5412	51	14	to	to	PART
fcis-5412	51	15	significantly	significantly	ADV
fcis-5412	51	16	reduce	reduce	VERB
fcis-5412	51	17	computational	computational	ADJ
fcis-5412	51	18	costs	cost	NOUN
fcis-5412	51	19	and	and	CCONJ
fcis-5412	51	20	model	model	NOUN
fcis-5412	51	21	complexity	complexity	NOUN
fcis-5412	51	22	.	.	PUNCT
fcis-5412	52	1	the	the	DET
fcis-5412	52	2	depthwise	depthwise	NOUN
fcis-5412	52	3	convolution	convolution	NOUN
fcis-5412	52	4	within	within	ADP
fcis-5412	52	5	the	the	DET
fcis-5412	52	6	struct	struct	NOUN
fcis-5412	52	7	operates	operate	VERB
fcis-5412	52	8	independently	independently	ADV
fcis-5412	52	9	on	on	ADP
fcis-5412	52	10	each	each	DET
fcis-5412	52	11	channel	channel	NOUN
fcis-5412	52	12	of	of	ADP
fcis-5412	52	13	the	the	DET
fcis-5412	52	14	input	input	NOUN
fcis-5412	52	15	image	image	NOUN
fcis-5412	52	16	,	,	PUNCT
fcis-5412	52	17	with	with	ADP
fcis-5412	52	18	no	no	DET
fcis-5412	52	19	parameter	parameter	NOUN
fcis-5412	52	20	sharing	sharing	NOUN
fcis-5412	52	21	between	between	ADP
fcis-5412	52	22	channels	channel	NOUN
fcis-5412	52	23	,	,	PUNCT
fcis-5412	52	24	and	and	CCONJ
fcis-5412	52	25	substantially	substantially	ADV
fcis-5412	52	26	reducing	reduce	VERB
fcis-5412	52	27	the	the	DET
fcis-5412	52	28	total	total	ADJ
fcis-5412	52	29	number	number	NOUN
fcis-5412	52	30	of	of	ADP
fcis-5412	52	31	model	model	NOUN
fcis-5412	52	32	parameters	parameter	NOUN
fcis-5412	52	33	.	.	PUNCT
fcis-5412	53	1	the	the	DET
fcis-5412	53	2	subsequent	subsequent	ADJ
fcis-5412	53	3	point	point	NOUN
fcis-5412	53	4	convolution	convolution	NOUN
fcis-5412	53	5	subsequently	subsequently	ADV
fcis-5412	53	6	allows	allow	VERB
fcis-5412	53	7	for	for	ADP
fcis-5412	53	8	increased	increase	VERB
fcis-5412	53	9	information	information	NOUN
fcis-5412	53	10	exchange	exchange	NOUN
fcis-5412	53	11	and	and	CCONJ
fcis-5412	53	12	combination	combination	NOUN
fcis-5412	53	13	between	between	ADP
fcis-5412	53	14	channels	channel	NOUN
fcis-5412	53	15	,	,	PUNCT
fcis-5412	53	16	enabling	enable	VERB
fcis-5412	53	17	enhanced	enhanced	ADJ
fcis-5412	53	18	network	network	NOUN
fcis-5412	53	19	expressivity	expressivity	NOUN
fcis-5412	53	20	while	while	SCONJ
fcis-5412	53	21	mitigating	mitigate	VERB
fcis-5412	53	22	overfitting	overfitte	VERB
fcis-5412	53	23	concerns	concern	NOUN
fcis-5412	53	24	.	.	PUNCT
fcis-5412	54	1	due	due	ADP
fcis-5412	54	2	to	to	ADP
fcis-5412	54	3	its	its	PRON
fcis-5412	54	4	superior	superior	ADJ
fcis-5412	54	5	performance	performance	NOUN
fcis-5412	54	6	and	and	CCONJ
fcis-5412	54	7	efficiency	efficiency	NOUN
fcis-5412	54	8	,	,	PUNCT
fcis-5412	54	9	depthwise	depthwise	NOUN
fcis-5412	54	10	separable	separable	ADJ
fcis-5412	54	11	convolution	convolution	NOUN
fcis-5412	54	12	has	have	AUX
fcis-5412	54	13	been	be	AUX
fcis-5412	54	14	widely	widely	ADV
fcis-5412	54	15	adopted	adopt	VERB
fcis-5412	54	16	as	as	ADP
fcis-5412	54	17	a	a	DET
fcis-5412	54	18	standard	standard	NOUN
fcis-5412	54	19	for	for	ADP
fcis-5412	54	20	the	the	DET
fcis-5412	54	21	development	development	NOUN
fcis-5412	54	22	of	of	ADP
fcis-5412	54	23	subsequent	subsequent	ADJ
fcis-5412	54	24	lightweight	lightweight	ADJ
fcis-5412	54	25	neural	neural	ADJ
fcis-5412	54	26	network	network	NOUN
fcis-5412	54	27	models	model	NOUN
fcis-5412	54	28	.	.	PUNCT
fcis-5412	55	1	shufflenetv2	shufflenetv2	NOUN
fcis-5412	55	2	introduces	introduce	VERB
fcis-5412	55	3	the	the	DET
fcis-5412	55	4	shuffle	shuffle	NOUN
fcis-5412	55	5	-	-	PUNCT
fcis-5412	55	6	block	block	NOUN
fcis-5412	55	7	module	module	NOUN
fcis-5412	55	8	,	,	PUNCT
fcis-5412	55	9	which	which	PRON
fcis-5412	55	10	leverages	leverage	VERB
fcis-5412	55	11	group	group	NOUN
fcis-5412	55	12	convolution	convolution	NOUN
fcis-5412	55	13	and	and	CCONJ
fcis-5412	55	14	channel	channel	NOUN
fcis-5412	55	15	shuffling	shuffle	VERB
fcis-5412	55	16	techniques	technique	NOUN
fcis-5412	55	17	to	to	PART
fcis-5412	55	18	enhance	enhance	VERB
fcis-5412	55	19	the	the	DET
fcis-5412	55	20	feature	feature	NOUN
fcis-5412	55	21	representation	representation	NOUN
fcis-5412	55	22	while	while	SCONJ
fcis-5412	55	23	reducing	reduce	VERB
fcis-5412	55	24	the	the	DET
fcis-5412	55	25	model	model	NOUN
fcis-5412	55	26	complexity	complexity	NOUN
fcis-5412	55	27	.	.	PUNCT
fcis-5412	56	1	specifically	specifically	ADV
fcis-5412	56	2	,	,	PUNCT
fcis-5412	56	3	the	the	DET
fcis-5412	56	4	shuffle	shuffle	NOUN
fcis-5412	56	5	-	-	PUNCT
fcis-5412	56	6	block	block	NOUN
fcis-5412	56	7	first	first	ADV
fcis-5412	56	8	applies	apply	VERB
fcis-5412	56	9	group	group	NOUN
fcis-5412	56	10	convolution	convolution	NOUN
fcis-5412	56	11	to	to	PART
fcis-5412	56	12	partition	partition	VERB
fcis-5412	56	13	the	the	DET
fcis-5412	56	14	input	input	NOUN
fcis-5412	56	15	feature	feature	NOUN
fcis-5412	56	16	map	map	NOUN
fcis-5412	56	17	into	into	ADP
fcis-5412	56	18	multiple	multiple	ADJ
fcis-5412	56	19	subgroups	subgroup	NOUN
fcis-5412	56	20	,	,	PUNCT
fcis-5412	56	21	and	and	CCONJ
fcis-5412	56	22	then	then	ADV
fcis-5412	56	23	conducts	conduct	VERB
fcis-5412	56	24	channel	channel	NOUN
fcis-5412	56	25	blending	blend	VERB
fcis-5412	56	26	to	to	PART
fcis-5412	56	27	mix	mix	VERB
fcis-5412	56	28	the	the	DET
fcis-5412	56	29	outputs	output	NOUN
fcis-5412	56	30	of	of	ADP
fcis-5412	56	31	different	different	ADJ
fcis-5412	56	32	subgroups	subgroup	NOUN
fcis-5412	56	33	for	for	ADP
fcis-5412	56	34	facilitating	facilitate	VERB
fcis-5412	56	35	inter	inter	ADJ
fcis-5412	56	36	-	-	ADJ
fcis-5412	56	37	group	group	ADJ
fcis-5412	56	38	information	information	NOUN
fcis-5412	56	39	interaction	interaction	NOUN
fcis-5412	56	40	and	and	CCONJ
fcis-5412	56	41	alleviating	alleviate	VERB
fcis-5412	56	42	the	the	DET
fcis-5412	56	43	problem	problem	NOUN
fcis-5412	56	44	of	of	ADP
fcis-5412	56	45	information	information	NOUN
fcis-5412	56	46	silos	silo	NOUN
fcis-5412	56	47	.	.	PUNCT
fcis-5412	57	1	finally	finally	ADV
fcis-5412	57	2	,	,	PUNCT
fcis-5412	57	3	point	point	NOUN
fcis-5412	57	4	convolution	convolution	NOUN
fcis-5412	57	5	is	be	AUX
fcis-5412	57	6	performed	perform	VERB
fcis-5412	57	7	to	to	PART
fcis-5412	57	8	fuse	fuse	VERB
fcis-5412	57	9	the	the	DET
fcis-5412	57	10	mixed	mixed	ADJ
fcis-5412	57	11	channel	channel	NOUN
fcis-5412	57	12	features	feature	NOUN
fcis-5412	57	13	and	and	CCONJ
fcis-5412	57	14	obtain	obtain	VERB
fcis-5412	57	15	the	the	DET
fcis-5412	57	16	final	final	ADJ
fcis-5412	57	17	output	output	NOUN
fcis-5412	57	18	.	.	PUNCT
fcis-5412	58	1	this	this	DET
fcis-5412	58	2	module	module	NOUN
fcis-5412	58	3	exhibits	exhibit	VERB
fcis-5412	58	4	robustness	robustness	NOUN
fcis-5412	58	5	against	against	ADP
fcis-5412	58	6	noise	noise	NOUN
fcis-5412	58	7	and	and	CCONJ
fcis-5412	58	8	outliers	outlier	NOUN
fcis-5412	58	9	by	by	ADP
fcis-5412	58	10	promoting	promote	VERB
fcis-5412	58	11	cross	cross	ADJ
fcis-5412	58	12	-	-	ADJ
fcis-5412	58	13	group	group	ADJ
fcis-5412	58	14	information	information	NOUN
fcis-5412	58	15	exchange	exchange	NOUN
fcis-5412	58	16	via	via	ADP
fcis-5412	58	17	channel	channel	NOUN
fcis-5412	58	18	shuffling	shuffling	NOUN
fcis-5412	58	19	.	.	PUNCT
fcis-5412	59	1	the	the	DET
fcis-5412	59	2	mbconv	mbconv	NOUN
fcis-5412	59	3	module	module	NOUN
fcis-5412	59	4	proposed	propose	VERB
fcis-5412	59	5	by	by	ADP
fcis-5412	59	6	efficientnet	efficientnet	NOUN
fcis-5412	59	7	uses	use	VERB
fcis-5412	59	8	the	the	DET
fcis-5412	59	9	swish	swish	ADJ
fcis-5412	59	10	function	function	NOUN
fcis-5412	59	11	as	as	ADP
fcis-5412	59	12	the	the	DET
fcis-5412	59	13	activation	activation	NOUN
fcis-5412	59	14	function	function	NOUN
fcis-5412	59	15	and	and	CCONJ
fcis-5412	59	16	the	the	DET
fcis-5412	59	17	se	se	PROPN
fcis-5412	59	18	module	module	NOUN
fcis-5412	59	19	after	after	ADP
fcis-5412	59	20	deep	deep	ADJ
fcis-5412	59	21	convolution	convolution	NOUN
fcis-5412	59	22	to	to	PART
fcis-5412	59	23	obtain	obtain	VERB
fcis-5412	59	24	better	well	ADJ
fcis-5412	59	25	network	network	NOUN
fcis-5412	59	26	performance	performance	NOUN
fcis-5412	59	27	,	,	PUNCT
fcis-5412	59	28	unlike	unlike	ADP
fcis-5412	59	29	the	the	DET
fcis-5412	59	30	block	block	NOUN
fcis-5412	59	31	of	of	ADP
fcis-5412	59	32	mobilenetv3	mobilenetv3	PROPN
fcis-5412	59	33	.	.	PUNCT
fcis-5412	60	1	the	the	DET
fcis-5412	60	2	experimental	experimental	ADJ
fcis-5412	60	3	results	result	NOUN
fcis-5412	60	4	are	be	AUX
fcis-5412	60	5	obtained	obtain	VERB
fcis-5412	60	6	by	by	ADP
fcis-5412	60	7	reprogramming	reprogramme	VERB
fcis-5412	60	8	and	and	CCONJ
fcis-5412	60	9	integrating	integrate	VERB
fcis-5412	60	10	these	these	DET
fcis-5412	60	11	powerful	powerful	ADJ
fcis-5412	60	12	modules	module	NOUN
fcis-5412	60	13	to	to	PART
fcis-5412	60	14	obtain	obtain	VERB
fcis-5412	60	15	better	well	ADJ
fcis-5412	60	16	experimental	experimental	ADJ
fcis-5412	60	17	results	result	NOUN
fcis-5412	60	18	in	in	ADP
fcis-5412	60	19	palm	palm	NOUN
fcis-5412	60	20	vein	vein	NOUN
fcis-5412	60	21	recognition	recognition	NOUN
fcis-5412	60	22	applications	application	NOUN
fcis-5412	60	23	.	.	PUNCT
fcis-5412	61	1	2.3	2.3	NUM
fcis-5412	61	2	.	.	PUNCT
fcis-5412	61	3	attention	attention	NOUN
fcis-5412	61	4	mechanism	mechanism	NOUN
fcis-5412	61	5	attention	attention	NOUN
fcis-5412	61	6	mechanism	mechanism	NOUN
fcis-5412	61	7	has	have	AUX
fcis-5412	61	8	become	become	VERB
fcis-5412	61	9	a	a	DET
fcis-5412	61	10	powerful	powerful	ADJ
fcis-5412	61	11	technique	technique	NOUN
fcis-5412	61	12	in	in	ADP
fcis-5412	61	13	deep	deep	ADJ
fcis-5412	61	14	learning	learning	NOUN
fcis-5412	61	15	to	to	PART
fcis-5412	61	16	improve	improve	VERB
fcis-5412	61	17	model	model	NOUN
fcis-5412	61	18	performance	performance	NOUN
fcis-5412	61	19	by	by	ADP
fcis-5412	61	20	selectively	selectively	ADV
fcis-5412	61	21	focusing	focus	VERB
fcis-5412	61	22	on	on	ADP
fcis-5412	61	23	different	different	ADJ
fcis-5412	61	24	parts	part	NOUN
fcis-5412	61	25	of	of	ADP
fcis-5412	61	26	the	the	DET
fcis-5412	61	27	input	input	NOUN
fcis-5412	61	28	data	datum	NOUN
fcis-5412	61	29	,	,	PUNCT
fcis-5412	61	30	effectively	effectively	ADV
fcis-5412	61	31	capturing	capture	VERB
fcis-5412	61	32	the	the	DET
fcis-5412	61	33	most	most	ADV
fcis-5412	61	34	relevant	relevant	ADJ
fcis-5412	61	35	information	information	NOUN
fcis-5412	61	36	and	and	CCONJ
fcis-5412	61	37	ignoring	ignore	VERB
fcis-5412	61	38	the	the	DET
fcis-5412	61	39	irrelevant	irrelevant	ADJ
fcis-5412	61	40	information	information	NOUN
fcis-5412	61	41	.	.	PUNCT
fcis-5412	62	1	in	in	ADP
fcis-5412	62	2	palm	palm	NOUN
fcis-5412	62	3	vein	vein	NOUN
fcis-5412	62	4	recognition	recognition	NOUN
fcis-5412	62	5	,	,	PUNCT
fcis-5412	62	6	the	the	DET
fcis-5412	62	7	attention	attention	NOUN
fcis-5412	62	8	mechanism	mechanism	NOUN
fcis-5412	62	9	can	can	AUX
fcis-5412	62	10	be	be	AUX
fcis-5412	62	11	used	use	VERB
fcis-5412	62	12	to	to	PART
fcis-5412	62	13	capture	capture	VERB
fcis-5412	62	14	the	the	DET
fcis-5412	62	15	most	most	ADV
fcis-5412	62	16	informative	informative	ADJ
fcis-5412	62	17	features	feature	NOUN
fcis-5412	62	18	in	in	ADP
fcis-5412	62	19	the	the	DET
fcis-5412	62	20	palm	palm	NOUN
fcis-5412	62	21	vein	vein	NOUN
fcis-5412	62	22	image	image	NOUN
fcis-5412	62	23	,	,	PUNCT
fcis-5412	62	24	thus	thus	ADV
fcis-5412	62	25	improving	improve	VERB
fcis-5412	62	26	recognition	recognition	NOUN
fcis-5412	62	27	accuracy	accuracy	NOUN
fcis-5412	62	28	.	.	PUNCT
fcis-5412	63	1	the	the	DET
fcis-5412	63	2	attention	attention	NOUN
fcis-5412	63	3	mechanism	mechanism	NOUN
fcis-5412	63	4	allows	allow	VERB
fcis-5412	63	5	the	the	DET
fcis-5412	63	6	model	model	NOUN
fcis-5412	63	7	to	to	PART
fcis-5412	63	8	learn	learn	VERB
fcis-5412	63	9	which	which	PRON
fcis-5412	63	10	parts	part	NOUN
fcis-5412	63	11	of	of	ADP
fcis-5412	63	12	the	the	DET
fcis-5412	63	13	input	input	NOUN
fcis-5412	63	14	data	datum	NOUN
fcis-5412	63	15	are	be	AUX
fcis-5412	63	16	most	most	ADV
fcis-5412	63	17	relevant	relevant	ADJ
fcis-5412	63	18	to	to	ADP
fcis-5412	63	19	the	the	DET
fcis-5412	63	20	task	task	NOUN
fcis-5412	63	21	at	at	ADP
fcis-5412	63	22	hand	hand	NOUN
fcis-5412	63	23	and	and	CCONJ
fcis-5412	63	24	to	to	PART
fcis-5412	63	25	selectively	selectively	ADV
fcis-5412	63	26	weigh	weigh	VERB
fcis-5412	63	27	these	these	DET
fcis-5412	63	28	parts	part	NOUN
fcis-5412	63	29	when	when	SCONJ
fcis-5412	63	30	making	make	VERB
fcis-5412	63	31	predictions	prediction	NOUN
fcis-5412	63	32	.	.	PUNCT
fcis-5412	64	1	this	this	DET
fcis-5412	64	2	approach	approach	NOUN
fcis-5412	64	3	is	be	AUX
fcis-5412	64	4	particularly	particularly	ADV
fcis-5412	64	5	useful	useful	ADJ
fcis-5412	64	6	in	in	ADP
fcis-5412	64	7	cases	case	NOUN
fcis-5412	64	8	where	where	SCONJ
fcis-5412	64	9	the	the	DET
fcis-5412	64	10	input	input	NOUN
fcis-5412	64	11	data	data	NOUN
fcis-5412	64	12	contains	contain	VERB
fcis-5412	64	13	a	a	DET
fcis-5412	64	14	lot	lot	NOUN
fcis-5412	64	15	of	of	ADP
fcis-5412	64	16	noise	noise	NOUN
fcis-5412	64	17	or	or	CCONJ
fcis-5412	64	18	irrelevant	irrelevant	ADJ
fcis-5412	64	19	information	information	NOUN
fcis-5412	64	20	,	,	PUNCT
fcis-5412	64	21	as	as	SCONJ
fcis-5412	64	22	is	be	AUX
fcis-5412	64	23	often	often	ADV
fcis-5412	64	24	the	the	DET
fcis-5412	64	25	case	case	NOUN
fcis-5412	64	26	with	with	ADP
fcis-5412	64	27	palm	palm	NOUN
fcis-5412	64	28	vein	vein	NOUN
fcis-5412	64	29	images	image	NOUN
fcis-5412	64	30	.	.	PUNCT
fcis-5412	65	1	the	the	DET
fcis-5412	65	2	module	module	NOUN
fcis-5412	65	3	designed	design	VERB
fcis-5412	65	4	based	base	VERB
fcis-5412	65	5	on	on	ADP
fcis-5412	65	6	the	the	DET
fcis-5412	65	7	attention	attention	NOUN
fcis-5412	65	8	mechanism	mechanism	NOUN
fcis-5412	65	9	can	can	AUX
fcis-5412	65	10	be	be	AUX
fcis-5412	65	11	widely	widely	ADV
fcis-5412	65	12	used	use	VERB
fcis-5412	65	13	in	in	ADP
fcis-5412	65	14	various	various	ADJ
fcis-5412	65	15	neural	neural	ADJ
fcis-5412	65	16	networks	network	NOUN
fcis-5412	65	17	to	to	PART
fcis-5412	65	18	optimize	optimize	VERB
fcis-5412	65	19	the	the	DET
fcis-5412	65	20	network	network	NOUN
fcis-5412	65	21	feature	feature	NOUN
fcis-5412	65	22	extraction	extraction	NOUN
fcis-5412	65	23	capability	capability	NOUN
fcis-5412	65	24	and	and	CCONJ
fcis-5412	65	25	increase	increase	VERB
fcis-5412	65	26	the	the	DET
fcis-5412	65	27	model	model	NOUN
fcis-5412	65	28	performance	performance	NOUN
fcis-5412	65	29	with	with	ADP
fcis-5412	65	30	a	a	DET
fcis-5412	65	31	small	small	ADJ
fcis-5412	65	32	number	number	NOUN
fcis-5412	65	33	of	of	ADP
fcis-5412	65	34	model	model	NOUN
fcis-5412	65	35	parameters	parameter	NOUN
fcis-5412	65	36	yet	yet	ADV
fcis-5412	65	37	.	.	PUNCT
fcis-5412	66	1	there	there	PRON
fcis-5412	66	2	are	be	VERB
fcis-5412	66	3	several	several	ADJ
fcis-5412	66	4	different	different	ADJ
fcis-5412	66	5	ways	way	NOUN
fcis-5412	66	6	to	to	PART
fcis-5412	66	7	implement	implement	VERB
fcis-5412	66	8	attention	attention	NOUN
fcis-5412	66	9	mechanisms	mechanism	NOUN
fcis-5412	66	10	in	in	ADP
fcis-5412	66	11	deep	deep	ADJ
fcis-5412	66	12	learning	learning	NOUN
fcis-5412	66	13	models	model	NOUN
fcis-5412	66	14	,	,	PUNCT
fcis-5412	66	15	but	but	CCONJ
fcis-5412	66	16	the	the	DET
fcis-5412	66	17	most	most	ADV
fcis-5412	66	18	common	common	ADJ
fcis-5412	66	19	approach	approach	NOUN
fcis-5412	66	20	is	be	AUX
fcis-5412	66	21	to	to	PART
fcis-5412	66	22	use	use	VERB
fcis-5412	66	23	a	a	DET
fcis-5412	66	24	soft	soft	ADJ
fcis-5412	66	25	attention	attention	NOUN
fcis-5412	66	26	mechanism	mechanism	NOUN
fcis-5412	66	27	,	,	PUNCT
fcis-5412	66	28	which	which	PRON
fcis-5412	66	29	computes	compute	VERB
fcis-5412	66	30	a	a	DET
fcis-5412	66	31	set	set	NOUN
fcis-5412	66	32	of	of	ADP
fcis-5412	66	33	attention	attention	NOUN
fcis-5412	66	34	weights	weight	NOUN
fcis-5412	66	35	for	for	ADP
fcis-5412	66	36	each	each	DET
fcis-5412	66	37	feature	feature	NOUN
fcis-5412	66	38	in	in	ADP
fcis-5412	66	39	the	the	DET
fcis-5412	66	40	input	input	NOUN
fcis-5412	66	41	data	datum	NOUN
fcis-5412	66	42	.	.	PUNCT
fcis-5412	67	1	these	these	DET
fcis-5412	67	2	attention	attention	NOUN
fcis-5412	67	3	weights	weight	NOUN
fcis-5412	67	4	are	be	AUX
fcis-5412	67	5	then	then	ADV
fcis-5412	67	6	used	use	VERB
fcis-5412	67	7	to	to	PART
fcis-5412	67	8	weight	weight	VERB
fcis-5412	67	9	the	the	DET
fcis-5412	67	10	feature	feature	NOUN
fcis-5412	67	11	representations	representation	NOUN
fcis-5412	67	12	before	before	ADP
fcis-5412	67	13	making	make	VERB
fcis-5412	67	14	predictions	prediction	NOUN
fcis-5412	67	15	.	.	PUNCT
fcis-5412	68	1	the	the	DET
fcis-5412	68	2	squeeze	squeeze	NOUN
fcis-5412	68	3	-	-	PUNCT
fcis-5412	68	4	and	and	CCONJ
fcis-5412	68	5	-	-	PUNCT
fcis-5412	68	6	excitation	excitation	NOUN
fcis-5412	68	7	(	(	PUNCT
fcis-5412	68	8	se)[9	se)[9	X
fcis-5412	68	9	]	]	PUNCT
fcis-5412	68	10	module	module	NOUN
fcis-5412	68	11	mentioned	mention	VERB
fcis-5412	68	12	in	in	ADP
fcis-5412	68	13	this	this	DET
fcis-5412	68	14	paper	paper	NOUN
fcis-5412	68	15	is	be	AUX
fcis-5412	68	16	a	a	DET
fcis-5412	68	17	module	module	NOUN
fcis-5412	68	18	for	for	ADP
fcis-5412	68	19	enhanced	enhanced	ADJ
fcis-5412	68	20	feature	feature	NOUN
fcis-5412	68	21	representation	representation	NOUN
fcis-5412	68	22	in	in	ADP
fcis-5412	68	23	convolutional	convolutional	ADJ
fcis-5412	68	24	neural	neural	ADJ
fcis-5412	68	25	networks	network	NOUN
fcis-5412	68	26	.	.	PUNCT
fcis-5412	69	1	as	as	SCONJ
fcis-5412	69	2	shown	show	VERB
fcis-5412	69	3	in	in	ADP
fcis-5412	69	4	the	the	DET
fcis-5412	69	5	right	right	ADJ
fcis-5412	69	6	part	part	NOUN
fcis-5412	69	7	of	of	ADP
fcis-5412	69	8	figure	figure	NOUN
fcis-5412	69	9	3	3	NUM
fcis-5412	69	10	,	,	PUNCT
fcis-5412	69	11	the	the	DET
fcis-5412	69	12	se	se	PROPN
fcis-5412	69	13	module	module	NOUN
fcis-5412	69	14	consists	consist	VERB
fcis-5412	69	15	of	of	ADP
fcis-5412	69	16	two	two	NUM
fcis-5412	69	17	parts	part	NOUN
fcis-5412	69	18	:	:	PUNCT
fcis-5412	69	19	squeeze	squeeze	NOUN
fcis-5412	69	20	and	and	CCONJ
fcis-5412	69	21	excitation	excitation	NOUN
fcis-5412	69	22	.	.	PUNCT
fcis-5412	70	1	in	in	ADP
fcis-5412	70	2	the	the	DET
fcis-5412	70	3	squeeze	squeeze	NOUN
fcis-5412	70	4	phase	phase	NOUN
fcis-5412	70	5	,	,	PUNCT
fcis-5412	70	6	the	the	DET
fcis-5412	70	7	se	se	PROPN
fcis-5412	70	8	module	module	NOUN
fcis-5412	70	9	compresses	compress	VERB
fcis-5412	70	10	the	the	DET
fcis-5412	70	11	features	feature	NOUN
fcis-5412	70	12	of	of	ADP
fcis-5412	70	13	each	each	DET
fcis-5412	70	14	channel	channel	NOUN
fcis-5412	70	15	individually	individually	ADV
fcis-5412	70	16	by	by	ADP
fcis-5412	70	17	a	a	DET
fcis-5412	70	18	global	global	ADJ
fcis-5412	70	19	pooling	pool	VERB
fcis-5412	70	20	operation	operation	NOUN
fcis-5412	70	21	to	to	PART
fcis-5412	70	22	extract	extract	VERB
fcis-5412	70	23	the	the	DET
fcis-5412	70	24	global	global	ADJ
fcis-5412	70	25	statistics	statistic	NOUN
fcis-5412	70	26	of	of	ADP
fcis-5412	70	27	the	the	DET
fcis-5412	70	28	channel	channel	NOUN
fcis-5412	70	29	features	feature	VERB
fcis-5412	70	30	.	.	PUNCT
fcis-5412	71	1	in	in	ADP
fcis-5412	71	2	the	the	DET
fcis-5412	71	3	excitation	excitation	NOUN
fcis-5412	71	4	phase	phase	NOUN
fcis-5412	71	5	,	,	PUNCT
fcis-5412	71	6	unlike	unlike	ADP
fcis-5412	71	7	the	the	DET
fcis-5412	71	8	original	original	ADJ
fcis-5412	71	9	se	se	X
fcis-5412	71	10	which	which	PRON
fcis-5412	71	11	uses	use	VERB
fcis-5412	71	12	a	a	DET
fcis-5412	71	13	fully	fully	ADV
fcis-5412	71	14	connected	connect	VERB
fcis-5412	71	15	layer	layer	NOUN
fcis-5412	71	16	operation	operation	NOUN
fcis-5412	71	17	,	,	PUNCT
fcis-5412	71	18	mobilenetv3	mobilenetv3	PROPN
fcis-5412	71	19	's	's	PART
fcis-5412	71	20	se	se	PROPN
fcis-5412	71	21	uses	use	VERB
fcis-5412	71	22	two	two	NUM
fcis-5412	71	23	1x1	1x1	NUM
fcis-5412	71	24	convolutional	convolutional	ADJ
fcis-5412	71	25	layers	layer	NOUN
fcis-5412	71	26	instead	instead	ADV
fcis-5412	71	27	,	,	PUNCT
fcis-5412	71	28	with	with	ADP
fcis-5412	71	29	the	the	DET
fcis-5412	71	30	latter	latter	ADJ
fcis-5412	71	31	layer	layer	NOUN
fcis-5412	71	32	generating	generate	VERB
fcis-5412	71	33	a	a	DET
fcis-5412	71	34	channel	channel	NOUN
fcis-5412	71	35	attention	attention	NOUN
fcis-5412	71	36	vector	vector	NOUN
fcis-5412	71	37	via	via	ADP
fcis-5412	71	38	an	an	DET
fcis-5412	71	39	h	h	NOUN
fcis-5412	71	40	-	-	PUNCT
fcis-5412	71	41	sigmoid	sigmoid	NOUN
fcis-5412	71	42	activation	activation	NOUN
fcis-5412	71	43	function	function	NOUN
fcis-5412	71	44	.	.	PUNCT
fcis-5412	72	1	by	by	ADP
fcis-5412	72	2	introducing	introduce	VERB
fcis-5412	72	3	the	the	DET
fcis-5412	72	4	se	se	PROPN
fcis-5412	72	5	module	module	NOUN
fcis-5412	72	6	,	,	PUNCT
fcis-5412	72	7	the	the	DET
fcis-5412	72	8	network	network	NOUN
fcis-5412	72	9	can	can	AUX
fcis-5412	72	10	more	more	ADV
fcis-5412	72	11	effectively	effectively	ADV
fcis-5412	72	12	exploit	exploit	VERB
fcis-5412	72	13	the	the	DET
fcis-5412	72	14	interdependencies	interdependency	NOUN
fcis-5412	72	15	and	and	CCONJ
fcis-5412	72	16	correlations	correlation	NOUN
fcis-5412	72	17	between	between	ADP
fcis-5412	72	18	channels	channel	NOUN
fcis-5412	72	19	,	,	PUNCT
fcis-5412	72	20	thus	thus	ADV
fcis-5412	72	21	improving	improve	VERB
fcis-5412	72	22	the	the	DET
fcis-5412	72	23	discriminative	discriminative	NOUN
fcis-5412	72	24	and	and	CCONJ
fcis-5412	72	25	expressive	expressive	ADJ
fcis-5412	72	26	power	power	NOUN
fcis-5412	72	27	of	of	ADP
fcis-5412	72	28	the	the	DET
fcis-5412	72	29	features	feature	NOUN
fcis-5412	72	30	,	,	PUNCT
fcis-5412	72	31	and	and	CCONJ
fcis-5412	72	32	thereby	thereby	ADV
fcis-5412	72	33	improving	improve	VERB
fcis-5412	72	34	the	the	DET
fcis-5412	72	35	performance	performance	NOUN
fcis-5412	72	36	of	of	ADP
fcis-5412	72	37	the	the	DET
fcis-5412	72	38	network	network	NOUN
fcis-5412	72	39	.	.	PUNCT
fcis-5412	73	1	3	3	X
fcis-5412	73	2	.	.	NUM
fcis-5412	73	3	proposed	propose	VERB
fcis-5412	73	4	approach	approach	NOUN
fcis-5412	73	5	in	in	ADP
fcis-5412	73	6	this	this	DET
fcis-5412	73	7	study	study	NOUN
fcis-5412	73	8	,	,	PUNCT
fcis-5412	73	9	the	the	DET
fcis-5412	73	10	basic	basic	ADJ
fcis-5412	73	11	process	process	NOUN
fcis-5412	73	12	of	of	ADP
fcis-5412	73	13	palm	palm	NOUN
fcis-5412	73	14	vein	vein	NOUN
fcis-5412	73	15	recognition	recognition	NOUN
fcis-5412	73	16	system	system	NOUN
fcis-5412	73	17	is	be	AUX
fcis-5412	73	18	implemented	implement	VERB
fcis-5412	73	19	to	to	PART
fcis-5412	73	20	extract	extract	VERB
fcis-5412	73	21	the	the	DET
fcis-5412	73	22	captured	capture	VERB
fcis-5412	73	23	palm	palm	NOUN
fcis-5412	73	24	vein	vein	NOUN
fcis-5412	73	25	images	image	NOUN
fcis-5412	73	26	with	with	ADP
fcis-5412	73	27	roi	roi	NOUN
fcis-5412	73	28	and	and	CCONJ
fcis-5412	73	29	then	then	ADV
fcis-5412	73	30	perform	perform	VERB
fcis-5412	73	31	image	image	NOUN
fcis-5412	73	32	enhancement	enhancement	NOUN
fcis-5412	73	33	.	.	PUNCT
fcis-5412	74	1	for	for	ADP
fcis-5412	74	2	feature	feature	NOUN
fcis-5412	74	3	recognition	recognition	NOUN
fcis-5412	74	4	,	,	PUNCT
fcis-5412	74	5	a	a	DET
fcis-5412	74	6	palm	palm	NOUN
fcis-5412	74	7	vein	vein	NOUN
fcis-5412	74	8	recognition	recognition	NOUN
fcis-5412	74	9	method	method	NOUN
fcis-5412	74	10	based	base	VERB
fcis-5412	74	11	on	on	ADP
fcis-5412	74	12	a	a	DET
fcis-5412	74	13	lightweight	lightweight	ADJ
fcis-5412	74	14	neural	neural	ADJ
fcis-5412	74	15	network	network	NOUN
fcis-5412	74	16	is	be	AUX
fcis-5412	74	17	proposed	propose	VERB
fcis-5412	74	18	,	,	PUNCT
fcis-5412	74	19	which	which	PRON
fcis-5412	74	20	is	be	AUX
fcis-5412	74	21	a	a	DET
fcis-5412	74	22	recombination	recombination	NOUN
fcis-5412	74	23	of	of	ADP
fcis-5412	74	24	classical	classical	ADJ
fcis-5412	74	25	and	and	CCONJ
fcis-5412	74	26	efficient	efficient	ADJ
fcis-5412	74	27	lightweight	lightweight	ADJ
fcis-5412	74	28	modules	module	NOUN
fcis-5412	74	29	.	.	PUNCT
fcis-5412	75	1	this	this	DET
fcis-5412	75	2	subsection	subsection	NOUN
fcis-5412	75	3	focuses	focus	VERB
fcis-5412	75	4	on	on	ADP
fcis-5412	75	5	the	the	DET
fcis-5412	75	6	image	image	NOUN
fcis-5412	75	7	enhancement	enhancement	NOUN
fcis-5412	75	8	part	part	NOUN
fcis-5412	75	9	and	and	CCONJ
fcis-5412	75	10	the	the	DET
fcis-5412	75	11	principles	principle	NOUN
fcis-5412	75	12	of	of	ADP
fcis-5412	75	13	each	each	DET
fcis-5412	75	14	lightweight	lightweight	ADJ
fcis-5412	75	15	module	module	NOUN
fcis-5412	75	16	needed	need	VERB
fcis-5412	75	17	to	to	PART
fcis-5412	75	18	design	design	VERB
fcis-5412	75	19	the	the	DET
fcis-5412	75	20	network	network	NOUN
fcis-5412	75	21	.	.	PUNCT
fcis-5412	76	1	3.1	3.1	NUM
fcis-5412	76	2	.	.	PUNCT
fcis-5412	76	3	image	image	NOUN
fcis-5412	76	4	preprocessing	preprocesse	VERB
fcis-5412	76	5	the	the	DET
fcis-5412	76	6	training	training	NOUN
fcis-5412	76	7	data	datum	NOUN
fcis-5412	76	8	used	use	VERB
fcis-5412	76	9	for	for	ADP
fcis-5412	76	10	the	the	DET
fcis-5412	76	11	experiments	experiment	NOUN
fcis-5412	76	12	in	in	ADP
fcis-5412	76	13	this	this	DET
fcis-5412	76	14	paper	paper	NOUN
fcis-5412	76	15	are	be	AUX
fcis-5412	76	16	derived	derive	VERB
fcis-5412	76	17	from	from	ADP
fcis-5412	76	18	the	the	DET
fcis-5412	76	19	casia	casia	NOUN
fcis-5412	76	20	dataset	dataset	NOUN
fcis-5412	76	21	.	.	PUNCT
fcis-5412	77	1	the	the	DET
fcis-5412	77	2	casia	casia	NOUN
fcis-5412	77	3	dataset	dataset	NOUN
fcis-5412	77	4	is	be	AUX
fcis-5412	77	5	a	a	DET
fcis-5412	77	6	global	global	ADJ
fcis-5412	77	7	database	database	NOUN
fcis-5412	77	8	,	,	PUNCT
fcis-5412	77	9	collected	collect	VERB
fcis-5412	77	10	and	and	CCONJ
fcis-5412	77	11	published	publish	VERB
fcis-5412	77	12	by	by	ADP
fcis-5412	77	13	the	the	DET
fcis-5412	77	14	institute	institute	PROPN
fcis-5412	77	15	of	of	ADP
fcis-5412	77	16	automation	automation	NOUN
fcis-5412	77	17	,	,	PUNCT
fcis-5412	77	18	chinese	chinese	PROPN
fcis-5412	77	19	academy	academy	PROPN
fcis-5412	77	20	of	of	ADP
fcis-5412	77	21	sciences	sciences	PROPN
fcis-5412	77	22	,	,	PUNCT
fcis-5412	77	23	containing	contain	VERB
fcis-5412	77	24	7200	7200	NUM
fcis-5412	77	25	palm	palm	NOUN
fcis-5412	77	26	images	image	NOUN
fcis-5412	77	27	from	from	ADP
fcis-5412	77	28	100	100	NUM
fcis-5412	77	29	volunteers	volunteer	NOUN
fcis-5412	77	30	,	,	PUNCT
fcis-5412	77	31	with	with	ADP
fcis-5412	77	32	6	6	NUM
fcis-5412	77	33	images	image	NOUN
fcis-5412	77	34	per	per	ADP
fcis-5412	77	35	palm	palm	NOUN
fcis-5412	77	36	sample	sample	NOUN
fcis-5412	77	37	,	,	PUNCT
fcis-5412	77	38	take	take	AUX
fcis-5412	77	39	simultaneously	simultaneously	ADV
fcis-5412	77	40	using	use	VERB
fcis-5412	77	41	6	6	NUM
fcis-5412	77	42	electromagnetic	electromagnetic	ADJ
fcis-5412	77	43	spectra	spectra	NOUN
fcis-5412	77	44	.	.	PUNCT
fcis-5412	78	1	the	the	DET
fcis-5412	78	2	goal	goal	NOUN
fcis-5412	78	3	of	of	ADP
fcis-5412	78	4	this	this	DET
fcis-5412	78	5	dataset	dataset	NOUN
fcis-5412	78	6	is	be	AUX
fcis-5412	78	7	to	to	PART
fcis-5412	78	8	increase	increase	VERB
fcis-5412	78	9	sample	sample	NOUN
fcis-5412	78	10	diversity	diversity	NOUN
fcis-5412	78	11	within	within	ADP
fcis-5412	78	12	categories	category	NOUN
fcis-5412	78	13	and	and	CCONJ
fcis-5412	78	14	to	to	PART
fcis-5412	78	15	improve	improve	VERB
fcis-5412	78	16	accuracy	accuracy	NOUN
fcis-5412	78	17	by	by	ADP
fcis-5412	78	18	capturing	capture	VERB
fcis-5412	78	19	palm	palm	NOUN
fcis-5412	78	20	vein	vein	NOUN
fcis-5412	78	21	images	image	NOUN
fcis-5412	78	22	using	use	VERB
fcis-5412	78	23	a	a	DET
fcis-5412	78	24	stable	stable	ADJ
fcis-5412	78	25	device	device	NOUN
fcis-5412	78	26	.	.	PUNCT
fcis-5412	79	1	five	five	NUM
fcis-5412	79	2	spectra	spectra	NOUN
fcis-5412	79	3	in	in	ADP
fcis-5412	79	4	the	the	DET
fcis-5412	79	5	460	460	NUM
fcis-5412	79	6	nm	nm	NOUN
fcis-5412	79	7	,	,	PUNCT
fcis-5412	79	8	630	630	NUM
fcis-5412	79	9	nm	nm	NOUN
fcis-5412	79	10	,	,	PUNCT
fcis-5412	79	11	700	700	NUM
fcis-5412	79	12	nm	nm	NOUN
fcis-5412	79	13	,	,	PUNCT
fcis-5412	79	14	850	850	NUM
fcis-5412	79	15	nm	nm	NOUN
fcis-5412	79	16	,	,	PUNCT
fcis-5412	79	17	and	and	CCONJ
fcis-5412	79	18	940	940	NUM
fcis-5412	79	19	nm	nm	NOUN
fcis-5412	79	20	bands	band	NOUN
fcis-5412	79	21	are	be	AUX
fcis-5412	79	22	used	use	VERB
fcis-5412	79	23	to	to	PART
fcis-5412	79	24	capture	capture	VERB
fcis-5412	79	25	103	103	NUM
fcis-5412	79	26	in	in	ADP
fcis-5412	79	27	the	the	DET
fcis-5412	79	28	dataset	dataset	NOUN
fcis-5412	79	29	,	,	PUNCT
fcis-5412	79	30	where	where	SCONJ
fcis-5412	79	31	the	the	DET
fcis-5412	79	32	palm	palm	NOUN
fcis-5412	79	33	images	image	NOUN
fcis-5412	79	34	obtained	obtain	VERB
fcis-5412	79	35	by	by	ADP
fcis-5412	79	36	capturing	capture	VERB
fcis-5412	79	37	in	in	ADP
fcis-5412	79	38	the	the	DET
fcis-5412	79	39	850	850	NUM
fcis-5412	79	40	nm	nm	NOUN
fcis-5412	79	41	and	and	CCONJ
fcis-5412	79	42	940	940	NUM
fcis-5412	79	43	nm	nm	DET
fcis-5412	79	44	spectra	spectra	NOUN
fcis-5412	79	45	contain	contain	VERB
fcis-5412	79	46	relatively	relatively	ADV
fcis-5412	79	47	clear	clear	ADJ
fcis-5412	79	48	vein	vein	ADJ
fcis-5412	79	49	images	image	NOUN
fcis-5412	79	50	that	that	PRON
fcis-5412	79	51	can	can	AUX
fcis-5412	79	52	be	be	AUX
fcis-5412	79	53	used	use	VERB
fcis-5412	79	54	as	as	ADP
fcis-5412	79	55	a	a	DET
fcis-5412	79	56	palm	palm	NOUN
fcis-5412	79	57	vein	vein	NOUN
fcis-5412	79	58	library	library	NOUN
fcis-5412	79	59	.	.	PUNCT
fcis-5412	80	1	(	(	PUNCT
fcis-5412	80	2	a	a	X
fcis-5412	80	3	)	)	PUNCT
fcis-5412	80	4	original	original	ADJ
fcis-5412	80	5	grayscale	grayscale	NOUN
fcis-5412	80	6	image	image	NOUN
fcis-5412	80	7	(	(	PUNCT
fcis-5412	80	8	b	b	NOUN
fcis-5412	80	9	)	)	PUNCT
fcis-5412	80	10	roi	roi	NOUN
fcis-5412	80	11	image	image	NOUN
fcis-5412	80	12	(	(	PUNCT
fcis-5412	80	13	c)adapt	c)adapt	NOUN
fcis-5412	80	14	i	i	PRON
fcis-5412	80	15	ve	ve	VERB
fcis-5412	80	16	histogram	histogram	NOUN
fcis-5412	80	17	equalizatio	equalizatio	PROPN
fcis-5412	80	18	n	n	PROPN
fcis-5412	80	19	(	(	PUNCT
fcis-5412	80	20	d	d	NOUN
fcis-5412	80	21	)	)	PUNCT
fcis-5412	80	22	retinex	retinex	NOUN
fcis-5412	80	23	(	(	PUNCT
fcis-5412	80	24	e	e	NOUN
fcis-5412	80	25	)	)	PUNCT
fcis-5412	80	26	gabor	gabor	PROPN
fcis-5412	80	27	fig	fig	PROPN
fcis-5412	80	28	.	.	PUNCT
fcis-5412	81	1	1	1	NUM
fcis-5412	81	2	roi	roi	NOUN
fcis-5412	81	3	and	and	CCONJ
fcis-5412	81	4	different	different	ADJ
fcis-5412	81	5	enhancement	enhancement	NOUN
fcis-5412	81	6	images	image	NOUN
fcis-5412	81	7	in	in	ADP
fcis-5412	81	8	this	this	DET
fcis-5412	81	9	paper	paper	NOUN
fcis-5412	81	10	,	,	PUNCT
fcis-5412	81	11	the	the	DET
fcis-5412	81	12	widely	widely	ADV
fcis-5412	81	13	used	use	VERB
fcis-5412	81	14	tangent	tangent	NOUN
fcis-5412	81	15	positioning	positioning	NOUN
fcis-5412	81	16	method	method	NOUN
fcis-5412	81	17	is	be	AUX
fcis-5412	81	18	used	use	VERB
fcis-5412	81	19	in	in	ADP
fcis-5412	81	20	selecting	select	VERB
fcis-5412	81	21	the	the	DET
fcis-5412	81	22	roi	roi	NOUN
fcis-5412	81	23	positioning	positioning	NOUN
fcis-5412	81	24	method	method	NOUN
fcis-5412	81	25	to	to	PART
fcis-5412	81	26	correct	correct	VERB
fcis-5412	81	27	the	the	DET
fcis-5412	81	28	palm	palm	NOUN
fcis-5412	81	29	deflection	deflection	NOUN
fcis-5412	81	30	direction	direction	NOUN
fcis-5412	81	31	through	through	ADP
fcis-5412	81	32	the	the	DET
fcis-5412	81	33	gap	gap	NOUN
fcis-5412	81	34	between	between	ADP
fcis-5412	81	35	the	the	DET
fcis-5412	81	36	fingers	finger	NOUN
fcis-5412	81	37	,	,	PUNCT
fcis-5412	81	38	and	and	CCONJ
fcis-5412	81	39	the	the	DET
fcis-5412	81	40	obtained	obtain	VERB
fcis-5412	81	41	graph	graph	NOUN
fcis-5412	81	42	is	be	AUX
fcis-5412	81	43	shown	show	VERB
fcis-5412	81	44	in	in	ADP
fcis-5412	81	45	fig	fig	NOUN
fcis-5412	81	46	.	.	PUNCT
fcis-5412	82	1	1(b	1(b	NUM
fcis-5412	82	2	)	)	PUNCT
fcis-5412	82	3	.	.	PUNCT
fcis-5412	83	1	when	when	SCONJ
fcis-5412	83	2	enhancing	enhance	VERB
fcis-5412	83	3	roi	roi	NOUN
fcis-5412	83	4	images	image	NOUN
fcis-5412	83	5	,	,	PUNCT
fcis-5412	83	6	as	as	SCONJ
fcis-5412	83	7	shown	show	VERB
fcis-5412	83	8	in	in	ADP
fcis-5412	83	9	fig	fig	NOUN
fcis-5412	83	10	.	.	PUNCT
fcis-5412	84	1	1(c	1(c	NUM
fcis-5412	84	2	)	)	PUNCT
fcis-5412	84	3	for	for	ADP
fcis-5412	84	4	the	the	DET
fcis-5412	84	5	image	image	NOUN
fcis-5412	84	6	after	after	ADP
fcis-5412	84	7	adaptive	adaptive	ADJ
fcis-5412	84	8	histogram	histogram	NOUN
fcis-5412	84	9	equalization	equalization	NOUN
fcis-5412	84	10	enhancement	enhancement	NOUN
fcis-5412	84	11	,	,	PUNCT
fcis-5412	84	12	the	the	DET
fcis-5412	84	13	image	image	NOUN
fcis-5412	84	14	is	be	AUX
fcis-5412	84	15	divided	divide	VERB
fcis-5412	84	16	into	into	ADP
fcis-5412	84	17	local	local	ADJ
fcis-5412	84	18	regions	region	NOUN
fcis-5412	84	19	and	and	CCONJ
fcis-5412	84	20	then	then	ADV
fcis-5412	84	21	the	the	DET
fcis-5412	84	22	histogram	histogram	NOUN
fcis-5412	84	23	equalization	equalization	NOUN
fcis-5412	84	24	is	be	AUX
fcis-5412	84	25	applied	apply	VERB
fcis-5412	84	26	to	to	ADP
fcis-5412	84	27	each	each	DET
fcis-5412	84	28	local	local	ADJ
fcis-5412	84	29	region	region	NOUN
fcis-5412	84	30	.	.	PUNCT
fcis-5412	85	1	fig	fig	NOUN
fcis-5412	85	2	.	.	PUNCT
fcis-5412	86	1	1(d	1(d	NUM
fcis-5412	86	2	)	)	PUNCT
fcis-5412	86	3	shows	show	VERB
fcis-5412	86	4	the	the	DET
fcis-5412	86	5	retinex	retinex	ADJ
fcis-5412	86	6	enhanced	enhance	VERB
fcis-5412	86	7	image	image	NOUN
fcis-5412	86	8	by	by	ADP
fcis-5412	86	9	decomposing	decompose	VERB
fcis-5412	86	10	the	the	DET
fcis-5412	86	11	image	image	NOUN
fcis-5412	86	12	at	at	ADP
fcis-5412	86	13	multiple	multiple	ADJ
fcis-5412	86	14	scales	scale	NOUN
fcis-5412	86	15	and	and	CCONJ
fcis-5412	86	16	then	then	ADV
fcis-5412	86	17	performing	perform	VERB
fcis-5412	86	18	brightness	brightness	NOUN
fcis-5412	86	19	enhancement	enhancement	NOUN
fcis-5412	86	20	at	at	ADP
fcis-5412	86	21	different	different	ADJ
fcis-5412	86	22	scales	scale	NOUN
fcis-5412	86	23	.	.	PUNCT
fcis-5412	87	1	fig	fig	NOUN
fcis-5412	87	2	.	.	PUNCT
fcis-5412	88	1	1(e	1(e	NUM
fcis-5412	88	2	)	)	PUNCT
fcis-5412	88	3	shows	show	VERB
fcis-5412	88	4	the	the	DET
fcis-5412	88	5	gabor	gabor	PROPN
fcis-5412	88	6	enhancement	enhancement	NOUN
fcis-5412	88	7	map	map	NOUN
fcis-5412	88	8	obtained	obtain	VERB
fcis-5412	88	9	by	by	ADP
fcis-5412	88	10	filtering	filter	VERB
fcis-5412	88	11	in	in	ADP
fcis-5412	88	12	different	different	ADJ
fcis-5412	88	13	directions	direction	NOUN
fcis-5412	88	14	and	and	CCONJ
fcis-5412	88	15	frequencies	frequency	NOUN
fcis-5412	88	16	through	through	ADP
fcis-5412	88	17	gabor	gabor	NOUN
fcis-5412	88	18	filters	filter	NOUN
fcis-5412	88	19	.	.	PUNCT
fcis-5412	89	1	since	since	SCONJ
fcis-5412	89	2	the	the	DET
fcis-5412	89	3	adaptive	adaptive	ADJ
fcis-5412	89	4	enhancement	enhancement	NOUN
fcis-5412	89	5	and	and	CCONJ
fcis-5412	89	6	retinex	retinex	ADJ
fcis-5412	89	7	enhancement	enhancement	NOUN
fcis-5412	89	8	methods	method	NOUN
fcis-5412	89	9	may	may	AUX
fcis-5412	89	10	over	over	ADV
fcis-5412	89	11	-	-	PUNCT
fcis-5412	89	12	enhance	enhance	VERB
fcis-5412	89	13	the	the	DET
fcis-5412	89	14	brightness	brightness	NOUN
fcis-5412	89	15	and	and	CCONJ
fcis-5412	89	16	contrast	contrast	NOUN
fcis-5412	89	17	of	of	ADP
fcis-5412	89	18	the	the	DET
fcis-5412	89	19	image	image	NOUN
fcis-5412	89	20	,	,	PUNCT
fcis-5412	89	21	resulting	result	VERB
fcis-5412	89	22	in	in	ADP
fcis-5412	89	23	increased	increase	VERB
fcis-5412	89	24	image	image	NOUN
fcis-5412	89	25	distortion	distortion	NOUN
fcis-5412	89	26	and	and	CCONJ
fcis-5412	89	27	noise	noise	NOUN
fcis-5412	89	28	.	.	PUNCT
fcis-5412	90	1	in	in	ADP
fcis-5412	90	2	contrast	contrast	NOUN
fcis-5412	90	3	,	,	PUNCT
fcis-5412	90	4	the	the	DET
fcis-5412	90	5	gabor	gabor	PROPN
fcis-5412	90	6	filter	filter	NOUN
fcis-5412	90	7	performs	perform	VERB
fcis-5412	90	8	well	well	ADV
fcis-5412	90	9	in	in	ADP
fcis-5412	90	10	texture	texture	ADJ
fcis-5412	90	11	analysis	analysis	NOUN
fcis-5412	90	12	and	and	CCONJ
fcis-5412	90	13	feature	feature	NOUN
fcis-5412	90	14	extraction	extraction	NOUN
fcis-5412	90	15	,	,	PUNCT
fcis-5412	90	16	capturing	capture	VERB
fcis-5412	90	17	texture	texture	ADJ
fcis-5412	90	18	information	information	NOUN
fcis-5412	90	19	and	and	CCONJ
fcis-5412	90	20	edge	edge	NOUN
fcis-5412	90	21	information	information	NOUN
fcis-5412	90	22	in	in	ADP
fcis-5412	90	23	the	the	DET
fcis-5412	90	24	image	image	NOUN
fcis-5412	90	25	and	and	CCONJ
fcis-5412	90	26	generating	generate	VERB
fcis-5412	90	27	an	an	DET
fcis-5412	90	28	image	image	NOUN
fcis-5412	90	29	with	with	ADP
fcis-5412	90	30	high	high	ADJ
fcis-5412	90	31	contrast	contrast	NOUN
fcis-5412	90	32	and	and	CCONJ
fcis-5412	90	33	sharpness	sharpness	NOUN
fcis-5412	90	34	,	,	PUNCT
fcis-5412	90	35	which	which	PRON
fcis-5412	90	36	can	can	AUX
fcis-5412	90	37	better	well	ADV
fcis-5412	90	38	present	present	VERB
fcis-5412	90	39	the	the	DET
fcis-5412	90	40	features	feature	NOUN
fcis-5412	90	41	of	of	ADP
fcis-5412	90	42	the	the	DET
fcis-5412	90	43	palm	palm	NOUN
fcis-5412	90	44	vein	vein	NOUN
fcis-5412	90	45	image	image	NOUN
fcis-5412	90	46	.	.	PUNCT
fcis-5412	91	1	finally	finally	ADV
fcis-5412	91	2	,	,	PUNCT
fcis-5412	91	3	the	the	DET
fcis-5412	91	4	gabor	gabor	NOUN
fcis-5412	91	5	-	-	PUNCT
fcis-5412	91	6	enhanced	enhance	VERB
fcis-5412	91	7	image	image	NOUN
fcis-5412	91	8	is	be	AUX
fcis-5412	91	9	selected	select	VERB
fcis-5412	91	10	as	as	ADP
fcis-5412	91	11	the	the	DET
fcis-5412	91	12	input	input	NOUN
fcis-5412	91	13	image	image	NOUN
fcis-5412	91	14	for	for	ADP
fcis-5412	91	15	palm	palm	NOUN
fcis-5412	91	16	vein	vein	NOUN
fcis-5412	91	17	recognition	recognition	NOUN
fcis-5412	91	18	.	.	PUNCT
fcis-5412	92	1	3.2	3.2	NUM
fcis-5412	92	2	.	.	PUNCT
fcis-5412	92	3	design	design	NOUN
fcis-5412	92	4	network	network	NOUN
fcis-5412	92	5	the	the	DET
fcis-5412	92	6	purpose	purpose	NOUN
fcis-5412	92	7	of	of	ADP
fcis-5412	92	8	designing	design	VERB
fcis-5412	92	9	the	the	DET
fcis-5412	92	10	network	network	NOUN
fcis-5412	92	11	in	in	ADP
fcis-5412	92	12	this	this	DET
fcis-5412	92	13	paper	paper	NOUN
fcis-5412	92	14	is	be	AUX
fcis-5412	92	15	to	to	PART
fcis-5412	92	16	be	be	AUX
fcis-5412	92	17	able	able	ADJ
fcis-5412	92	18	to	to	PART
fcis-5412	92	19	extract	extract	VERB
fcis-5412	92	20	useful	useful	ADJ
fcis-5412	92	21	features	feature	NOUN
fcis-5412	92	22	when	when	SCONJ
fcis-5412	92	23	processing	processing	NOUN
fcis-5412	92	24	palm	palm	NOUN
fcis-5412	92	25	vein	vein	NOUN
fcis-5412	92	26	images	image	NOUN
fcis-5412	92	27	,	,	PUNCT
fcis-5412	92	28	while	while	SCONJ
fcis-5412	92	29	keeping	keep	VERB
fcis-5412	92	30	the	the	DET
fcis-5412	92	31	network	network	NOUN
fcis-5412	92	32	lightweight	lightweight	NOUN
fcis-5412	92	33	and	and	CCONJ
fcis-5412	92	34	efficient	efficient	ADJ
fcis-5412	92	35	.	.	PUNCT
fcis-5412	93	1	in	in	ADP
fcis-5412	93	2	order	order	NOUN
fcis-5412	93	3	to	to	PART
fcis-5412	93	4	design	design	VERB
fcis-5412	93	5	a	a	DET
fcis-5412	93	6	suitable	suitable	ADJ
fcis-5412	93	7	lightweight	lightweight	ADJ
fcis-5412	93	8	network	network	NOUN
fcis-5412	93	9	and	and	CCONJ
fcis-5412	93	10	to	to	PART
fcis-5412	93	11	minimize	minimize	VERB
fcis-5412	93	12	repetitive	repetitive	ADJ
fcis-5412	93	13	work	work	NOUN
fcis-5412	93	14	,	,	PUNCT
fcis-5412	93	15	the	the	DET
fcis-5412	93	16	optimal	optimal	ADJ
fcis-5412	93	17	network	network	NOUN
fcis-5412	93	18	is	be	AUX
fcis-5412	93	19	selected	select	VERB
fcis-5412	93	20	as	as	ADP
fcis-5412	93	21	the	the	DET
fcis-5412	93	22	baseline	baseline	NOUN
fcis-5412	93	23	by	by	ADP
fcis-5412	93	24	filtering	filter	VERB
fcis-5412	93	25	among	among	ADP
fcis-5412	93	26	the	the	DET
fcis-5412	93	27	classical	classical	ADJ
fcis-5412	93	28	lightweight	lightweight	ADJ
fcis-5412	93	29	networks	network	NOUN
fcis-5412	93	30	.	.	PUNCT
fcis-5412	94	1	the	the	DET
fcis-5412	94	2	final	final	ADJ
fcis-5412	94	3	network	network	NOUN
fcis-5412	94	4	,	,	PUNCT
fcis-5412	94	5	called	call	VERB
fcis-5412	94	6	palmnet	palmnet	NOUN
fcis-5412	94	7	,	,	PUNCT
fcis-5412	94	8	is	be	AUX
fcis-5412	94	9	obtained	obtain	VERB
fcis-5412	94	10	by	by	ADP
fcis-5412	94	11	optimizing	optimize	VERB
fcis-5412	94	12	again	again	ADV
fcis-5412	94	13	on	on	ADP
fcis-5412	94	14	the	the	DET
fcis-5412	94	15	basis	basis	NOUN
fcis-5412	94	16	of	of	ADP
fcis-5412	94	17	the	the	DET
fcis-5412	94	18	baseline	baseline	NOUN
fcis-5412	94	19	.	.	PUNCT
fcis-5412	95	1	specifically	specifically	ADV
fcis-5412	95	2	,	,	PUNCT
fcis-5412	95	3	this	this	DET
fcis-5412	95	4	network	network	NOUN
fcis-5412	95	5	uses	use	VERB
fcis-5412	95	6	several	several	ADJ
fcis-5412	95	7	classical	classical	ADJ
fcis-5412	95	8	convolutional	convolutional	ADJ
fcis-5412	95	9	blocks	block	NOUN
fcis-5412	95	10	,	,	PUNCT
fcis-5412	95	11	such	such	ADJ
fcis-5412	95	12	as	as	ADP
fcis-5412	95	13	the	the	DET
fcis-5412	95	14	mobilenetv3	mobilenetv3	PROPN
fcis-5412	95	15	block	block	NOUN
fcis-5412	95	16	,	,	PUNCT
fcis-5412	95	17	shufflenetv2	shufflenetv2	NOUN
fcis-5412	95	18	block	block	NOUN
fcis-5412	95	19	and	and	CCONJ
fcis-5412	95	20	efficientnet	efficientnet	ADJ
fcis-5412	95	21	-	-	PUNCT
fcis-5412	95	22	lite	lite	NOUN
fcis-5412	95	23	single	single	ADJ
fcis-5412	95	24	layer	layer	NOUN
fcis-5412	95	25	in	in	ADP
fcis-5412	95	26	fig	fig	NOUN
fcis-5412	95	27	.	.	PUNCT
fcis-5412	96	1	2	2	NUM
fcis-5412	96	2	,	,	PUNCT
fcis-5412	96	3	to	to	PART
fcis-5412	96	4	improve	improve	VERB
fcis-5412	96	5	the	the	DET
fcis-5412	96	6	feature	feature	NOUN
fcis-5412	96	7	extraction	extraction	NOUN
fcis-5412	96	8	capability	capability	NOUN
fcis-5412	96	9	of	of	ADP
fcis-5412	96	10	the	the	DET
fcis-5412	96	11	network	network	NOUN
fcis-5412	96	12	and	and	CCONJ
fcis-5412	96	13	reduce	reduce	VERB
fcis-5412	96	14	the	the	DET
fcis-5412	96	15	computational	computational	ADJ
fcis-5412	96	16	effort	effort	NOUN
fcis-5412	96	17	.	.	PUNCT
fcis-5412	97	1	the	the	DET
fcis-5412	97	2	block	block	NOUN
fcis-5412	97	3	of	of	ADP
fcis-5412	97	4	shufflenet	shufflenet	NOUN
fcis-5412	97	5	in	in	ADP
fcis-5412	97	6	fig	fig	NOUN
fcis-5412	97	7	.	.	PUNCT
fcis-5412	98	1	2(a	2(a	NUM
fcis-5412	98	2	)	)	PUNCT
fcis-5412	98	3	splits	split	VERB
fcis-5412	98	4	the	the	DET
fcis-5412	98	5	input	input	NOUN
fcis-5412	98	6	feature	feature	NOUN
fcis-5412	98	7	map	map	NOUN
fcis-5412	98	8	into	into	ADP
fcis-5412	98	9	two	two	NUM
fcis-5412	98	10	parts	part	NOUN
fcis-5412	98	11	with	with	ADP
fcis-5412	98	12	adjacent	adjacent	ADJ
fcis-5412	98	13	channels	channel	NOUN
fcis-5412	98	14	and	and	CCONJ
fcis-5412	98	15	performs	perform	VERB
fcis-5412	98	16	the	the	DET
fcis-5412	98	17	operation	operation	NOUN
fcis-5412	98	18	separately	separately	ADV
fcis-5412	98	19	.	.	PUNCT
fcis-5412	99	1	one	one	NUM
fcis-5412	99	2	part	part	NOUN
fcis-5412	99	3	uses	use	VERB
fcis-5412	99	4	depth	depth	NOUN
fcis-5412	99	5	-	-	PUNCT
fcis-5412	99	6	separable	separable	NOUN
fcis-5412	99	7	convolution	convolution	NOUN
fcis-5412	99	8	for	for	ADP
fcis-5412	99	9	feature	feature	NOUN
fcis-5412	99	10	acquisition	acquisition	NOUN
fcis-5412	99	11	,	,	PUNCT
fcis-5412	99	12	and	and	CCONJ
fcis-5412	99	13	the	the	DET
fcis-5412	99	14	output	output	NOUN
fcis-5412	99	15	is	be	AUX
fcis-5412	99	16	stitched	stitch	VERB
fcis-5412	99	17	with	with	ADP
fcis-5412	99	18	the	the	DET
fcis-5412	99	19	other	other	ADJ
fcis-5412	99	20	part	part	NOUN
fcis-5412	99	21	to	to	PART
fcis-5412	99	22	obtain	obtain	VERB
fcis-5412	99	23	a	a	DET
fcis-5412	99	24	new	new	ADJ
fcis-5412	99	25	feature	feature	NOUN
fcis-5412	99	26	map	map	NOUN
fcis-5412	99	27	that	that	PRON
fcis-5412	99	28	is	be	AUX
fcis-5412	99	29	the	the	DET
fcis-5412	99	30	same	same	ADJ
fcis-5412	99	31	size	size	NOUN
fcis-5412	99	32	as	as	ADP
fcis-5412	99	33	the	the	DET
fcis-5412	99	34	input	input	NOUN
fcis-5412	99	35	.	.	PUNCT
fcis-5412	100	1	in	in	ADP
fcis-5412	100	2	order	order	NOUN
fcis-5412	100	3	to	to	PART
fcis-5412	100	4	achieve	achieve	VERB
fcis-5412	100	5	information	information	NOUN
fcis-5412	100	6	exchange	exchange	NOUN
fcis-5412	100	7	between	between	ADP
fcis-5412	100	8	the	the	DET
fcis-5412	100	9	two	two	NUM
fcis-5412	100	10	groups	group	NOUN
fcis-5412	100	11	after	after	ADP
fcis-5412	100	12	segmentation	segmentation	NOUN
fcis-5412	100	13	,	,	PUNCT
fcis-5412	100	14	the	the	DET
fcis-5412	100	15	new	new	ADJ
fcis-5412	100	16	output	output	NOUN
fcis-5412	100	17	feature	feature	NOUN
fcis-5412	100	18	map	map	NOUN
fcis-5412	100	19	is	be	AUX
fcis-5412	100	20	subjected	subject	VERB
fcis-5412	100	21	to	to	ADP
fcis-5412	100	22	channel	channel	NOUN
fcis-5412	100	23	rearrangement	rearrangement	NOUN
fcis-5412	100	24	.	.	PUNCT
fcis-5412	101	1	this	this	DET
fcis-5412	101	2	design	design	NOUN
fcis-5412	101	3	of	of	ADP
fcis-5412	101	4	rearrangement	rearrangement	NOUN
fcis-5412	101	5	after	after	ADP
fcis-5412	101	6	segmentation	segmentation	NOUN
fcis-5412	101	7	allows	allow	VERB
fcis-5412	101	8	the	the	DET
fcis-5412	101	9	information	information	NOUN
fcis-5412	101	10	in	in	ADP
fcis-5412	101	11	the	the	DET
fcis-5412	101	12	network	network	NOUN
fcis-5412	101	13	to	to	PART
fcis-5412	101	14	be	be	AUX
fcis-5412	101	15	more	more	ADV
fcis-5412	101	16	fully	fully	ADV
fcis-5412	101	17	exchanged	exchange	VERB
fcis-5412	101	18	and	and	CCONJ
fcis-5412	101	19	transmitted	transmit	VERB
fcis-5412	101	20	,	,	PUNCT
fcis-5412	101	21	improving	improve	VERB
fcis-5412	101	22	the	the	DET
fcis-5412	101	23	diversity	diversity	NOUN
fcis-5412	101	24	of	of	ADP
fcis-5412	101	25	features	feature	NOUN
fcis-5412	101	26	and	and	CCONJ
fcis-5412	101	27	the	the	DET
fcis-5412	101	28	expressiveness	expressiveness	NOUN
fcis-5412	101	29	of	of	ADP
fcis-5412	101	30	the	the	DET
fcis-5412	101	31	network.as	network.as	NOUN
fcis-5412	101	32	in	in	ADP
fcis-5412	101	33	fig	fig	NOUN
fcis-5412	101	34	.	.	PUNCT
fcis-5412	102	1	2(b	2(b	NUM
fcis-5412	102	2	)	)	PUNCT
fcis-5412	102	3	the	the	DET
fcis-5412	102	4	block	block	NOUN
fcis-5412	102	5	of	of	ADP
fcis-5412	102	6	mobilenetv3	mobilenetv3	PROPN
fcis-5412	102	7	is	be	AUX
fcis-5412	102	8	constructed	construct	VERB
fcis-5412	102	9	using	use	VERB
fcis-5412	102	10	a	a	DET
fcis-5412	102	11	module	module	NOUN
fcis-5412	102	12	of	of	ADP
fcis-5412	102	13	deeply	deeply	ADV
fcis-5412	102	14	separable	separable	ADJ
fcis-5412	102	15	convolutional	convolutional	ADJ
fcis-5412	102	16	layers	layer	NOUN
fcis-5412	102	17	,	,	PUNCT
fcis-5412	102	18	placing	place	VERB
fcis-5412	102	19	the	the	DET
fcis-5412	102	20	se	se	PROPN
fcis-5412	102	21	module	module	NOUN
fcis-5412	102	22	at	at	ADP
fcis-5412	102	23	the	the	DET
fcis-5412	102	24	last	last	ADJ
fcis-5412	102	25	point	point	NOUN
fcis-5412	102	26	of	of	ADP
fcis-5412	102	27	the	the	DET
fcis-5412	102	28	module	module	NOUN
fcis-5412	102	29	and	and	CCONJ
fcis-5412	102	30	then	then	ADV
fcis-5412	102	31	using	use	VERB
fcis-5412	102	32	residual	residual	ADJ
fcis-5412	102	33	connections	connection	NOUN
fcis-5412	102	34	,	,	PUNCT
fcis-5412	102	35	which	which	PRON
fcis-5412	102	36	improves	improve	VERB
fcis-5412	102	37	the	the	DET
fcis-5412	102	38	network	network	NOUN
fcis-5412	102	39	and	and	CCONJ
fcis-5412	102	40	alleviates	alleviate	VERB
fcis-5412	102	41	the	the	DET
fcis-5412	102	42	problem	problem	NOUN
fcis-5412	102	43	of	of	ADP
fcis-5412	102	44	gradient	gradient	ADJ
fcis-5412	102	45	disappearance	disappearance	NOUN
fcis-5412	102	46	while	while	SCONJ
fcis-5412	102	47	keeping	keep	VERB
fcis-5412	102	48	the	the	DET
fcis-5412	102	49	computational	computational	ADJ
fcis-5412	102	50	effort	effort	NOUN
fcis-5412	102	51	low	low	ADJ
fcis-5412	102	52	.	.	PUNCT
fcis-5412	103	1	the	the	DET
fcis-5412	103	2	mbconv	mbconv	NOUN
fcis-5412	103	3	module	module	NOUN
fcis-5412	103	4	is	be	AUX
fcis-5412	103	5	shown	show	VERB
fcis-5412	103	6	in	in	ADP
fcis-5412	103	7	figure	figure	NOUN
fcis-5412	103	8	2(c	2(c	NUM
fcis-5412	103	9	)	)	PUNCT
fcis-5412	103	10	,	,	PUNCT
fcis-5412	103	11	which	which	PRON
fcis-5412	103	12	is	be	AUX
fcis-5412	103	13	proposed	propose	VERB
fcis-5412	103	14	and	and	CCONJ
fcis-5412	103	15	adopted	adopt	VERB
fcis-5412	103	16	by	by	ADP
fcis-5412	103	17	efficientne	efficientne	NOUN
fcis-5412	103	18	.	.	PUNCT
fcis-5412	104	1	unlike	unlike	ADP
fcis-5412	104	2	the	the	DET
fcis-5412	104	3	mobilenetv3	mobilenetv3	PROPN
fcis-5412	104	4	module	module	NOUN
fcis-5412	104	5	which	which	PRON
fcis-5412	104	6	is	be	AUX
fcis-5412	104	7	placed	place	VERB
fcis-5412	104	8	in	in	ADP
fcis-5412	104	9	point	point	NOUN
fcis-5412	104	10	convolution	convolution	NOUN
fcis-5412	104	11	,	,	PUNCT
fcis-5412	104	12	where	where	SCONJ
fcis-5412	104	13	the	the	DET
fcis-5412	104	14	number	number	NOUN
fcis-5412	104	15	of	of	ADP
fcis-5412	104	16	channels	channel	NOUN
fcis-5412	104	17	is	be	AUX
fcis-5412	104	18	reduced	reduce	VERB
fcis-5412	104	19	and	and	CCONJ
fcis-5412	104	20	then	then	ADV
fcis-5412	104	21	the	the	DET
fcis-5412	104	22	attention	attention	NOUN
fcis-5412	104	23	module	module	NOUN
fcis-5412	104	24	is	be	AUX
fcis-5412	104	25	used	use	VERB
fcis-5412	104	26	after	after	SCONJ
fcis-5412	104	27	the	the	DET
fcis-5412	104	28	number	number	NOUN
fcis-5412	104	29	of	of	ADP
fcis-5412	104	30	channels	channel	NOUN
fcis-5412	104	31	is	be	AUX
fcis-5412	104	32	reduced	reduce	VERB
fcis-5412	104	33	,	,	PUNCT
fcis-5412	104	34	the	the	DET
fcis-5412	104	35	mbconv	mbconv	NOUN
fcis-5412	104	36	module	module	NOUN
fcis-5412	104	37	places	place	VERB
fcis-5412	104	38	the	the	DET
fcis-5412	104	39	se	se	PROPN
fcis-5412	104	40	module	module	NOUN
fcis-5412	104	41	after	after	ADP
fcis-5412	104	42	the	the	DET
fcis-5412	104	43	deep	deep	ADJ
fcis-5412	104	44	convolution	convolution	NOUN
fcis-5412	104	45	and	and	CCONJ
fcis-5412	104	46	uses	use	VERB
fcis-5412	104	47	a	a	DET
fcis-5412	104	48	special	special	ADJ
fcis-5412	104	49	activation	activation	NOUN
fcis-5412	104	50	function	function	NOUN
fcis-5412	104	51	internally	internally	ADV
fcis-5412	104	52	to	to	PART
fcis-5412	104	53	improve	improve	VERB
fcis-5412	104	54	the	the	DET
fcis-5412	104	55	network	network	NOUN
fcis-5412	104	56	performance	performance	NOUN
fcis-5412	104	57	while	while	SCONJ
fcis-5412	104	58	maintaining	maintain	VERB
fcis-5412	104	59	high	high	ADJ
fcis-5412	104	60	efficiency	efficiency	NOUN
fcis-5412	104	61	.	.	PUNCT
fcis-5412	105	1	fig	fig	NOUN
fcis-5412	105	2	.	.	PUNCT
fcis-5412	106	1	2	2	NUM
fcis-5412	106	2	different	different	ADJ
fcis-5412	106	3	network	network	NOUN
fcis-5412	106	4	blocks	block	NOUN
fcis-5412	106	5	in	in	ADP
fcis-5412	106	6	addition	addition	NOUN
fcis-5412	106	7	,	,	PUNCT
fcis-5412	106	8	a	a	DET
fcis-5412	106	9	global	global	ADJ
fcis-5412	106	10	average	average	ADJ
fcis-5412	106	11	pooling	pooling	NOUN
fcis-5412	106	12	layer	layer	NOUN
fcis-5412	106	13	and	and	CCONJ
fcis-5412	106	14	a	a	DET
fcis-5412	106	15	fully	fully	ADV
fcis-5412	106	16	connected	connect	VERB
fcis-5412	106	17	layer	layer	NOUN
fcis-5412	106	18	are	be	AUX
fcis-5412	106	19	added	add	VERB
fcis-5412	106	20	to	to	ADP
fcis-5412	106	21	the	the	DET
fcis-5412	106	22	network	network	NOUN
fcis-5412	106	23	to	to	PART
fcis-5412	106	24	integrate	integrate	VERB
fcis-5412	106	25	and	and	CCONJ
fcis-5412	106	26	classify	classify	VERB
fcis-5412	106	27	features	feature	NOUN
fcis-5412	106	28	.	.	PUNCT
fcis-5412	107	1	the	the	DET
fcis-5412	107	2	global	global	ADJ
fcis-5412	107	3	average	average	ADJ
fcis-5412	107	4	pooling	pool	VERB
fcis-5412	107	5	layer	layer	NOUN
fcis-5412	107	6	averages	average	VERB
fcis-5412	107	7	the	the	DET
fcis-5412	107	8	features	feature	NOUN
fcis-5412	107	9	of	of	ADP
fcis-5412	107	10	each	each	DET
fcis-5412	107	11	channel	channel	NOUN
fcis-5412	107	12	to	to	PART
fcis-5412	107	13	obtain	obtain	VERB
fcis-5412	107	14	a	a	DET
fcis-5412	107	15	feature	feature	NOUN
fcis-5412	107	16	vector	vector	NOUN
fcis-5412	107	17	with	with	ADP
fcis-5412	107	18	a	a	DET
fcis-5412	107	19	fixed	fix	VERB
fcis-5412	107	20	size	size	NOUN
fcis-5412	107	21	.	.	PUNCT
fcis-5412	108	1	the	the	DET
fcis-5412	108	2	fully	fully	ADV
fcis-5412	108	3	connected	connected	ADJ
fcis-5412	108	4	layer	layer	NOUN
fcis-5412	108	5	then	then	ADV
fcis-5412	108	6	maps	map	VERB
fcis-5412	108	7	this	this	DET
fcis-5412	108	8	feature	feature	NOUN
fcis-5412	108	9	vector	vector	NOUN
fcis-5412	108	10	to	to	ADP
fcis-5412	108	11	a	a	DET
fcis-5412	108	12	1024	1024	NUM
fcis-5412	108	13	-	-	PUNCT
fcis-5412	108	14	dimensional	dimensional	ADJ
fcis-5412	108	15	feature	feature	NOUN
fcis-5412	108	16	space	space	NOUN
fcis-5412	108	17	and	and	CCONJ
fcis-5412	108	18	finally	finally	ADV
fcis-5412	108	19	outputs	output	VERB
fcis-5412	108	20	a	a	DET
fcis-5412	108	21	probability	probability	NOUN
fcis-5412	108	22	value	value	NOUN
fcis-5412	108	23	used	use	VERB
fcis-5412	108	24	to	to	PART
fcis-5412	108	25	determine	determine	VERB
fcis-5412	108	26	whether	whether	SCONJ
fcis-5412	108	27	the	the	DET
fcis-5412	108	28	palm	palm	NOUN
fcis-5412	108	29	veins	vein	NOUN
fcis-5412	108	30	match	match	VERB
fcis-5412	108	31	or	or	CCONJ
fcis-5412	108	32	not	not	PART
fcis-5412	108	33	.	.	PUNCT
fcis-5412	109	1	fig	fig	NOUN
fcis-5412	109	2	.	.	PUNCT
fcis-5412	110	1	3	3	NUM
fcis-5412	110	2	a	a	DET
fcis-5412	110	3	detailed	detailed	ADJ
fcis-5412	110	4	view	view	NOUN
fcis-5412	110	5	of	of	ADP
fcis-5412	110	6	palmnet	palmnet	NOUN
fcis-5412	110	7	by	by	ADP
fcis-5412	110	8	reprogramming	reprogramme	VERB
fcis-5412	110	9	those	those	DET
fcis-5412	110	10	three	three	NUM
fcis-5412	110	11	important	important	ADJ
fcis-5412	110	12	lightweight	lightweight	ADJ
fcis-5412	110	13	modules	module	NOUN
fcis-5412	110	14	,	,	PUNCT
fcis-5412	110	15	the	the	DET
fcis-5412	110	16	palmnet	palmnet	NOUN
fcis-5412	110	17	is	be	AUX
fcis-5412	110	18	designed	design	VERB
fcis-5412	110	19	as	as	ADP
fcis-5412	110	20	in	in	ADP
fcis-5412	110	21	fig	fig	NOUN
fcis-5412	110	22	.	.	PUNCT
fcis-5412	111	1	3	3	X
fcis-5412	111	2	.	.	X
fcis-5412	111	3	input	input	VERB
fcis-5412	111	4	the	the	DET
fcis-5412	111	5	palm	palm	NOUN
fcis-5412	111	6	104	104	NUM
fcis-5412	111	7	vein	vein	ADJ
fcis-5412	111	8	grayscale	grayscale	NOUN
fcis-5412	111	9	map	map	NOUN
fcis-5412	111	10	into	into	ADP
fcis-5412	111	11	the	the	DET
fcis-5412	111	12	network	network	NOUN
fcis-5412	111	13	,	,	PUNCT
fcis-5412	111	14	scale	scale	VERB
fcis-5412	111	15	the	the	DET
fcis-5412	111	16	feature	feature	NOUN
fcis-5412	111	17	map	map	NOUN
fcis-5412	111	18	size	size	NOUN
fcis-5412	111	19	slowly	slowly	ADV
fcis-5412	111	20	and	and	CCONJ
fcis-5412	111	21	gradually	gradually	ADV
fcis-5412	111	22	increase	increase	VERB
fcis-5412	111	23	the	the	DET
fcis-5412	111	24	number	number	NOUN
fcis-5412	111	25	of	of	ADP
fcis-5412	111	26	channels	channel	NOUN
fcis-5412	111	27	.	.	PUNCT
fcis-5412	112	1	this	this	DET
fcis-5412	112	2	processing	processing	NOUN
fcis-5412	112	3	helps	help	VERB
fcis-5412	112	4	to	to	PART
fcis-5412	112	5	improve	improve	VERB
fcis-5412	112	6	the	the	DET
fcis-5412	112	7	perceptual	perceptual	ADJ
fcis-5412	112	8	field	field	NOUN
fcis-5412	112	9	of	of	ADP
fcis-5412	112	10	the	the	DET
fcis-5412	112	11	network	network	NOUN
fcis-5412	112	12	,	,	PUNCT
fcis-5412	112	13	and	and	CCONJ
fcis-5412	112	14	also	also	ADV
fcis-5412	112	15	reduces	reduce	VERB
fcis-5412	112	16	the	the	DET
fcis-5412	112	17	number	number	NOUN
fcis-5412	112	18	of	of	ADP
fcis-5412	112	19	parameters	parameter	NOUN
fcis-5412	112	20	and	and	CCONJ
fcis-5412	112	21	improves	improve	VERB
fcis-5412	112	22	the	the	DET
fcis-5412	112	23	computational	computational	ADJ
fcis-5412	112	24	efficiency	efficiency	NOUN
fcis-5412	112	25	of	of	ADP
fcis-5412	112	26	the	the	DET
fcis-5412	112	27	network	network	NOUN
fcis-5412	112	28	.	.	PUNCT
fcis-5412	113	1	as	as	SCONJ
fcis-5412	113	2	the	the	DET
fcis-5412	113	3	feature	feature	NOUN
fcis-5412	113	4	map	map	NOUN
fcis-5412	113	5	is	be	AUX
fcis-5412	113	6	gradually	gradually	ADV
fcis-5412	113	7	scaled	scale	VERB
fcis-5412	113	8	down	down	ADP
fcis-5412	113	9	,	,	PUNCT
fcis-5412	113	10	the	the	DET
fcis-5412	113	11	network	network	NOUN
fcis-5412	113	12	can	can	AUX
fcis-5412	113	13	better	well	ADV
fcis-5412	113	14	capture	capture	VERB
fcis-5412	113	15	the	the	DET
fcis-5412	113	16	details	detail	NOUN
fcis-5412	113	17	and	and	CCONJ
fcis-5412	113	18	texture	texture	ADJ
fcis-5412	113	19	information	information	NOUN
fcis-5412	113	20	of	of	ADP
fcis-5412	113	21	the	the	DET
fcis-5412	113	22	palm	palm	NOUN
fcis-5412	113	23	vein	vein	NOUN
fcis-5412	113	24	image	image	NOUN
fcis-5412	113	25	,	,	PUNCT
fcis-5412	113	26	while	while	SCONJ
fcis-5412	113	27	the	the	DET
fcis-5412	113	28	increase	increase	NOUN
fcis-5412	113	29	in	in	ADP
fcis-5412	113	30	the	the	DET
fcis-5412	113	31	number	number	NOUN
fcis-5412	113	32	of	of	ADP
fcis-5412	113	33	channels	channel	NOUN
fcis-5412	113	34	helps	help	VERB
fcis-5412	113	35	to	to	PART
fcis-5412	113	36	improve	improve	VERB
fcis-5412	113	37	the	the	DET
fcis-5412	113	38	expressiveness	expressiveness	NOUN
fcis-5412	113	39	of	of	ADP
fcis-5412	113	40	the	the	DET
fcis-5412	113	41	network	network	NOUN
fcis-5412	113	42	.	.	PUNCT
fcis-5412	114	1	stage2	stage2	PROPN
fcis-5412	114	2	and	and	CCONJ
fcis-5412	114	3	stage3	stage3	PROPN
fcis-5412	114	4	contain	contain	VERB
fcis-5412	114	5	se	se	X
fcis-5412	114	6	modules	module	NOUN
fcis-5412	114	7	that	that	PRON
fcis-5412	114	8	can	can	AUX
fcis-5412	114	9	further	far	ADV
fcis-5412	114	10	improve	improve	VERB
fcis-5412	114	11	the	the	DET
fcis-5412	114	12	robustness	robustness	NOUN
fcis-5412	114	13	and	and	CCONJ
fcis-5412	114	14	accuracy	accuracy	NOUN
fcis-5412	114	15	of	of	ADP
fcis-5412	114	16	the	the	DET
fcis-5412	114	17	network	network	NOUN
fcis-5412	114	18	.	.	PUNCT
fcis-5412	115	1	most	most	ADJ
fcis-5412	115	2	of	of	ADP
fcis-5412	115	3	the	the	DET
fcis-5412	115	4	hyperparameters	hyperparameter	NOUN
fcis-5412	115	5	in	in	ADP
fcis-5412	115	6	the	the	DET
fcis-5412	115	7	network	network	NOUN
fcis-5412	115	8	are	be	AUX
fcis-5412	115	9	re	re	VERB
fcis-5412	115	10	-	-	VERB
fcis-5412	115	11	explored	explore	VERB
fcis-5412	115	12	to	to	PART
fcis-5412	115	13	be	be	AUX
fcis-5412	115	14	more	more	ADV
fcis-5412	115	15	lightweight	lightweight	ADJ
fcis-5412	115	16	than	than	ADP
fcis-5412	115	17	the	the	DET
fcis-5412	115	18	baseline	baseline	NOUN
fcis-5412	115	19	network	network	NOUN
fcis-5412	115	20	and	and	CCONJ
fcis-5412	115	21	obtain	obtain	VERB
fcis-5412	115	22	g	g	ADP
fcis-5412	115	23	better	well	ADJ
fcis-5412	115	24	performance	performance	NOUN
fcis-5412	115	25	in	in	ADP
fcis-5412	115	26	palm	palm	NOUN
fcis-5412	115	27	vein	vein	NOUN
fcis-5412	115	28	recognition	recognition	NOUN
fcis-5412	115	29	.	.	PUNCT
fcis-5412	116	1	4	4	X
fcis-5412	116	2	.	.	X
fcis-5412	116	3	experimental	experimental	ADJ
fcis-5412	116	4	results	result	NOUN
fcis-5412	116	5	and	and	CCONJ
fcis-5412	116	6	analysis	analysis	NOUN
fcis-5412	116	7	4.1	4.1	NUM
fcis-5412	116	8	.	.	PUNCT
fcis-5412	117	1	detail	detail	NOUN
fcis-5412	117	2	of	of	ADP
fcis-5412	117	3	the	the	DET
fcis-5412	117	4	experiment	experiment	NOUN
fcis-5412	117	5	to	to	PART
fcis-5412	117	6	ensure	ensure	VERB
fcis-5412	117	7	the	the	DET
fcis-5412	117	8	fairness	fairness	NOUN
fcis-5412	117	9	of	of	ADP
fcis-5412	117	10	the	the	DET
fcis-5412	117	11	experiments	experiment	NOUN
fcis-5412	117	12	,	,	PUNCT
fcis-5412	117	13	the	the	DET
fcis-5412	117	14	experiments	experiment	NOUN
fcis-5412	117	15	are	be	AUX
fcis-5412	117	16	conducted	conduct	VERB
fcis-5412	117	17	based	base	VERB
fcis-5412	117	18	on	on	ADP
fcis-5412	117	19	pytorch	pytorch	NOUN
fcis-5412	117	20	,	,	PUNCT
fcis-5412	117	21	using	use	VERB
fcis-5412	117	22	rtx3060	rtx3060	NOUN
fcis-5412	117	23	,	,	PUNCT
fcis-5412	117	24	using	use	VERB
fcis-5412	117	25	the	the	DET
fcis-5412	117	26	casia	casia	NOUN
fcis-5412	117	27	dataset	dataset	NOUN
fcis-5412	117	28	containing	contain	VERB
fcis-5412	117	29	850	850	NUM
fcis-5412	117	30	nm	nm	NOUN
fcis-5412	117	31	,	,	PUNCT
fcis-5412	117	32	and	and	CCONJ
fcis-5412	117	33	the	the	DET
fcis-5412	117	34	dataset	dataset	NOUN
fcis-5412	117	35	is	be	AUX
fcis-5412	117	36	primitively	primitively	ADV
fcis-5412	117	37	augmented	augment	VERB
fcis-5412	117	38	using	use	VERB
fcis-5412	117	39	luminance	luminance	NOUN
fcis-5412	117	40	enhancement	enhancement	NOUN
fcis-5412	117	41	,	,	PUNCT
fcis-5412	117	42	contrast	contrast	NOUN
fcis-5412	117	43	enhancement	enhancement	NOUN
fcis-5412	117	44	,	,	PUNCT
fcis-5412	117	45	and	and	CCONJ
fcis-5412	117	46	rotation	rotation	NOUN
fcis-5412	117	47	,	,	PUNCT
fcis-5412	117	48	and	and	CCONJ
fcis-5412	117	49	the	the	DET
fcis-5412	117	50	obtained	obtain	VERB
fcis-5412	117	51	palm	palm	NOUN
fcis-5412	117	52	vein	vein	NOUN
fcis-5412	117	53	training	training	NOUN
fcis-5412	117	54	set	set	NOUN
fcis-5412	117	55	contained	contain	VERB
fcis-5412	117	56	4750	4750	NUM
fcis-5412	117	57	and	and	CCONJ
fcis-5412	117	58	the	the	DET
fcis-5412	117	59	test	test	NOUN
fcis-5412	117	60	set	set	NOUN
fcis-5412	117	61	contained	contain	VERB
fcis-5412	117	62	1185	1185	NUM
fcis-5412	117	63	.	.	PUNCT
fcis-5412	118	1	the	the	DET
fcis-5412	118	2	optimizer	optimizer	NOUN
fcis-5412	118	3	uses	use	VERB
fcis-5412	118	4	adam	adam	PROPN
fcis-5412	118	5	,	,	PUNCT
fcis-5412	118	6	the	the	DET
fcis-5412	118	7	loss	loss	NOUN
fcis-5412	118	8	function	function	NOUN
fcis-5412	118	9	uses	use	VERB
fcis-5412	118	10	cross	cross	PROPN
fcis-5412	118	11	entropy	entropy	PROPN
fcis-5412	118	12	loss	loss	NOUN
fcis-5412	118	13	.	.	PUNCT
fcis-5412	119	1	epoch	epoch	PROPN
fcis-5412	119	2	,	,	PUNCT
fcis-5412	119	3	batchsize	batchsize	VERB
fcis-5412	119	4	,	,	PUNCT
fcis-5412	119	5	learning	learn	VERB
fcis-5412	119	6	rate	rate	NOUN
fcis-5412	119	7	and	and	CCONJ
fcis-5412	119	8	weight	weight	NOUN
fcis-5412	119	9	decay	decay	NOUN
fcis-5412	119	10	are	be	AUX
fcis-5412	119	11	set	set	VERB
fcis-5412	119	12	to	to	ADP
fcis-5412	119	13	1500	1500	NUM
fcis-5412	119	14	,	,	PUNCT
fcis-5412	119	15	32	32	NUM
fcis-5412	119	16	,	,	PUNCT
fcis-5412	119	17	0.0001	0.0001	NUM
fcis-5412	119	18	and	and	CCONJ
fcis-5412	119	19	0.0005	0.0005	NUM
fcis-5412	119	20	respectively	respectively	ADV
fcis-5412	119	21	.	.	PUNCT
fcis-5412	120	1	4.2	4.2	NUM
fcis-5412	120	2	.	.	PUNCT
fcis-5412	120	3	ablation	ablation	NOUN
fcis-5412	120	4	and	and	CCONJ
fcis-5412	120	5	results	result	NOUN
fcis-5412	120	6	of	of	ADP
fcis-5412	120	7	experimental	experimental	ADJ
fcis-5412	120	8	in	in	ADP
fcis-5412	120	9	designing	design	VERB
fcis-5412	120	10	a	a	DET
fcis-5412	120	11	suitable	suitable	ADJ
fcis-5412	120	12	network	network	NOUN
fcis-5412	120	13	for	for	ADP
fcis-5412	120	14	vein	vein	ADJ
fcis-5412	120	15	recognition	recognition	NOUN
fcis-5412	120	16	,	,	PUNCT
fcis-5412	120	17	the	the	DET
fcis-5412	120	18	first	first	ADJ
fcis-5412	120	19	step	step	NOUN
fcis-5412	120	20	is	be	AUX
fcis-5412	120	21	to	to	PART
fcis-5412	120	22	start	start	VERB
fcis-5412	120	23	from	from	ADP
fcis-5412	120	24	a	a	DET
fcis-5412	120	25	classical	classical	ADJ
fcis-5412	120	26	neural	neural	ADJ
fcis-5412	120	27	network	network	NOUN
fcis-5412	120	28	,	,	PUNCT
fcis-5412	120	29	using	use	VERB
fcis-5412	120	30	the	the	DET
fcis-5412	120	31	same	same	ADJ
fcis-5412	120	32	training	training	NOUN
fcis-5412	120	33	method	method	NOUN
fcis-5412	120	34	and	and	CCONJ
fcis-5412	120	35	data	datum	NOUN
fcis-5412	120	36	,	,	PUNCT
fcis-5412	120	37	as	as	SCONJ
fcis-5412	120	38	can	can	AUX
fcis-5412	120	39	be	be	AUX
fcis-5412	120	40	seen	see	VERB
fcis-5412	120	41	in	in	ADP
fcis-5412	120	42	table	table	NOUN
fcis-5412	120	43	1	1	NUM
fcis-5412	120	44	,	,	PUNCT
fcis-5412	120	45	shufflenetv2	shufflenetv2	NOUN
fcis-5412	120	46	gives	give	VERB
fcis-5412	120	47	the	the	DET
fcis-5412	120	48	best	good	ADJ
fcis-5412	120	49	results	result	NOUN
fcis-5412	120	50	.	.	PUNCT
fcis-5412	121	1	for	for	ADP
fcis-5412	121	2	example	example	NOUN
fcis-5412	121	3	,	,	PUNCT
fcis-5412	121	4	palmnet0.5x2413	palmnet0.5x2413	PROPN
fcis-5412	121	5	means	mean	VERB
fcis-5412	121	6	that	that	SCONJ
fcis-5412	121	7	the	the	DET
fcis-5412	121	8	palmnet	palmnet	NOUN
fcis-5412	121	9	with	with	ADP
fcis-5412	121	10	a	a	DET
fcis-5412	121	11	width	width	ADJ
fcis-5412	121	12	factor	factor	NOUN
fcis-5412	121	13	of	of	ADP
fcis-5412	121	14	0.5	0.5	NUM
fcis-5412	121	15	contains	contain	VERB
fcis-5412	121	16	2	2	NUM
fcis-5412	121	17	shufflenet	shufflenet	NOUN
fcis-5412	121	18	-	-	PUNCT
fcis-5412	121	19	blocks	block	NOUN
fcis-5412	121	20	,	,	PUNCT
fcis-5412	121	21	4	4	NUM
fcis-5412	121	22	mobilenetv3	mobilenetv3	NOUN
fcis-5412	121	23	blocks	block	NOUN
fcis-5412	121	24	,	,	PUNCT
fcis-5412	121	25	1	1	NUM
fcis-5412	121	26	mbconv	mbconv	NOUN
fcis-5412	121	27	,	,	PUNCT
fcis-5412	121	28	and	and	CCONJ
fcis-5412	121	29	the	the	DET
fcis-5412	121	30	expansion	expansion	NOUN
fcis-5412	121	31	factor	factor	NOUN
fcis-5412	121	32	is	be	AUX
fcis-5412	121	33	set	set	VERB
fcis-5412	121	34	to	to	ADP
fcis-5412	121	35	3	3	NUM
fcis-5412	121	36	.	.	PUNCT
fcis-5412	121	37	table	table	NOUN
fcis-5412	121	38	1	1	NUM
fcis-5412	121	39	.	.	PUNCT
fcis-5412	121	40	results	result	NOUN
fcis-5412	121	41	of	of	ADP
fcis-5412	121	42	experimental	experimental	ADJ
fcis-5412	121	43	model	model	NOUN
fcis-5412	121	44	top-1	top-1	PUNCT
fcis-5412	121	45	acc(%	acc(%	NOUN
fcis-5412	121	46	)	)	PUNCT
fcis-5412	121	47	params(m	params(m	PROPN
fcis-5412	121	48	)	)	PUNCT
fcis-5412	121	49	flops(m	flops(m	NOUN
fcis-5412	121	50	)	)	PUNCT
fcis-5412	121	51	mobilenetv1	mobilenetv1	NOUN
fcis-5412	121	52	-	-	PUNCT
fcis-5412	121	53	0.5x	0.5x	VERB
fcis-5412	121	54	95.19	95.19	NUM
fcis-5412	121	55	0.92	0.92	NUM
fcis-5412	121	56	153.06	153.06	NUM
fcis-5412	121	57	mobilenetv2	mobilenetv2	NOUN
fcis-5412	121	58	-	-	PUNCT
fcis-5412	121	59	0.5x	0.5x	PROPN
fcis-5412	121	60	95.53	95.53	NUM
fcis-5412	121	61	0.71	0.71	NUM
fcis-5412	121	62	97.90	97.90	NUM
fcis-5412	121	63	mobilenetv3_small	mobilenetv3_small	NUM
fcis-5412	122	1	94.18	94.18	NUM
fcis-5412	122	2	1.48	1.48	NUM
fcis-5412	122	3	59.45	59.45	NUM
fcis-5412	122	4	shufflenetv2	shufflenetv2	NOUN
fcis-5412	122	5	-	-	PUNCT
fcis-5412	122	6	0.5x	0.5x	NOUN
fcis-5412	122	7	96.96	96.96	NUM
fcis-5412	122	8	0.55	0.55	NUM
fcis-5412	122	9	37.46	37.46	NUM
fcis-5412	122	10	palmnet-0.5x	palmnet-0.5x	NOUN
fcis-5412	122	11	97.47	97.47	NUM
fcis-5412	122	12	0.49	0.49	NUM
fcis-5412	122	13	43.40	43.40	NUM
fcis-5412	122	14	palmnet-1.0x	palmnet-1.0x	NOUN
fcis-5412	122	15	97.89	97.89	NUM
fcis-5412	122	16	1.37	1.37	NUM
fcis-5412	122	17	192.77	192.77	NUM
fcis-5412	122	18	palmnet-2.0x	palmnet-2.0x	NOUN
fcis-5412	122	19	99.07	99.07	NUM
fcis-5412	122	20	4.47	4.47	NUM
fcis-5412	122	21	765.12	765.12	NUM
fcis-5412	122	22	palmnet-0.5x2223	palmnet-0.5x2223	NOUN
fcis-5412	122	23	96.20	96.20	NUM
fcis-5412	122	24	0.56	0.56	NUM
fcis-5412	122	25	37.67	37.67	NUM
fcis-5412	122	26	palmnet-0.5x4223	palmnet-0.5x4223	ADP
fcis-5412	122	27	97.05	97.05	NUM
fcis-5412	122	28	0.56	0.56	NUM
fcis-5412	122	29	40.11	40.11	NUM
fcis-5412	122	30	palmnet-0.5x6223	palmnet-0.5x6223	NOUN
fcis-5412	122	31	96.46	96.46	NUM
fcis-5412	122	32	0.56	0.56	NUM
fcis-5412	122	33	42.56	42.56	NUM
fcis-5412	122	34	palmnet-0.5x2323	palmnet-0.5x2323	NOUN
fcis-5412	122	35	97.63	97.63	NUM
fcis-5412	122	36	0.58	0.58	NUM
fcis-5412	122	37	43.09	43.09	NUM
fcis-5412	122	38	palmnet-0.5x2313	palmnet-0.5x2313	PROPN
fcis-5412	122	39	95.95	95.95	NUM
fcis-5412	122	40	0.46	0.46	NUM
fcis-5412	122	41	37.98	37.98	NUM
fcis-5412	122	42	palmnet-0.5x2413	palmnet-0.5x2413	ADJ
fcis-5412	122	43	97.47	97.47	NUM
fcis-5412	122	44	0.49	0.49	NUM
fcis-5412	122	45	43.40	43.40	NUM
fcis-5412	122	46	palmnet-0.5x2412	palmnet-0.5x2412	PROPN
fcis-5412	122	47	96.80	96.80	NUM
fcis-5412	122	48	0.44	0.44	NUM
fcis-5412	122	49	34.11	34.11	NUM
fcis-5412	122	50	palmnet-0.5x2411	palmnet-0.5x2411	NOUN
fcis-5412	122	51	96.20	96.20	NUM
fcis-5412	122	52	0.39	0.39	NUM
fcis-5412	122	53	24.83	24.83	NUM
fcis-5412	122	54	with	with	ADP
fcis-5412	122	55	shufflenetv2	shufflenetv2	NOUN
fcis-5412	122	56	as	as	ADP
fcis-5412	122	57	the	the	DET
fcis-5412	122	58	target	target	NOUN
fcis-5412	122	59	,	,	PUNCT
fcis-5412	122	60	the	the	DET
fcis-5412	122	61	initial	initial	ADJ
fcis-5412	122	62	network	network	NOUN
fcis-5412	122	63	is	be	AUX
fcis-5412	122	64	set	set	VERB
fcis-5412	122	65	up	up	ADP
fcis-5412	122	66	to	to	PART
fcis-5412	122	67	perform	perform	VERB
fcis-5412	122	68	a	a	DET
fcis-5412	122	69	trade	trade	NOUN
fcis-5412	122	70	-	-	PUNCT
fcis-5412	122	71	off	off	NOUN
fcis-5412	122	72	between	between	ADP
fcis-5412	122	73	parameters	parameter	NOUN
fcis-5412	122	74	and	and	CCONJ
fcis-5412	122	75	computational	computational	ADJ
fcis-5412	122	76	effort	effort	NOUN
fcis-5412	122	77	.	.	PUNCT
fcis-5412	123	1	the	the	DET
fcis-5412	123	2	initial	initial	ADJ
fcis-5412	123	3	network	network	NOUN
fcis-5412	123	4	,	,	PUNCT
fcis-5412	123	5	like	like	ADP
fcis-5412	123	6	the	the	DET
fcis-5412	123	7	baseline	baseline	NOUN
fcis-5412	123	8	,	,	PUNCT
fcis-5412	123	9	divides	divide	VERB
fcis-5412	123	10	the	the	DET
fcis-5412	123	11	network	network	NOUN
fcis-5412	123	12	into	into	ADP
fcis-5412	123	13	three	three	NUM
fcis-5412	123	14	stages	stage	NOUN
fcis-5412	123	15	.	.	PUNCT
fcis-5412	124	1	in	in	ADP
fcis-5412	124	2	order	order	NOUN
fcis-5412	124	3	to	to	PART
fcis-5412	124	4	obtain	obtain	VERB
fcis-5412	124	5	smaller	small	ADJ
fcis-5412	124	6	parameters	parameter	NOUN
fcis-5412	124	7	for	for	ADP
fcis-5412	124	8	the	the	DET
fcis-5412	124	9	network	network	NOUN
fcis-5412	124	10	,	,	PUNCT
fcis-5412	124	11	the	the	DET
fcis-5412	124	12	options	option	NOUN
fcis-5412	124	13	for	for	ADP
fcis-5412	124	14	the	the	DET
fcis-5412	124	15	stages	stage	NOUN
fcis-5412	124	16	with	with	ADP
fcis-5412	124	17	smaller	small	ADJ
fcis-5412	124	18	parameters	parameter	NOUN
fcis-5412	124	19	are	be	AUX
fcis-5412	124	20	directly	directly	ADV
fcis-5412	124	21	selected	select	VERB
fcis-5412	124	22	and	and	CCONJ
fcis-5412	124	23	the	the	DET
fcis-5412	124	24	control	control	NOUN
fcis-5412	124	25	variable	variable	ADJ
fcis-5412	124	26	method	method	NOUN
fcis-5412	124	27	is	be	AUX
fcis-5412	124	28	used	use	VERB
fcis-5412	124	29	in	in	ADP
fcis-5412	124	30	these	these	DET
fcis-5412	124	31	options	option	NOUN
fcis-5412	124	32	.	.	PUNCT
fcis-5412	125	1	the	the	DET
fcis-5412	125	2	performance	performance	NOUN
fcis-5412	125	3	metrics	metric	NOUN
fcis-5412	125	4	obtained	obtain	VERB
fcis-5412	125	5	for	for	ADP
fcis-5412	125	6	the	the	DET
fcis-5412	125	7	networks	network	NOUN
fcis-5412	125	8	with	with	ADP
fcis-5412	125	9	subscripts	subscript	NOUN
fcis-5412	125	10	[	[	X
fcis-5412	125	11	2,2,2,3	2,2,2,3	NUM
fcis-5412	125	12	]	]	PUNCT
fcis-5412	125	13	to	to	ADP
fcis-5412	125	14	[	[	X
fcis-5412	125	15	6,2,2,3	6,2,2,3	X
fcis-5412	125	16	]	]	X
fcis-5412	125	17	in	in	ADP
fcis-5412	125	18	table	table	NOUN
fcis-5412	125	19	1	1	NUM
fcis-5412	125	20	can	can	AUX
fcis-5412	125	21	be	be	AUX
fcis-5412	125	22	found	find	VERB
fcis-5412	125	23	that	that	SCONJ
fcis-5412	125	24	the	the	DET
fcis-5412	125	25	number	number	NOUN
fcis-5412	125	26	of	of	ADP
fcis-5412	125	27	first	first	ADJ
fcis-5412	125	28	stages	stage	NOUN
fcis-5412	125	29	can	can	AUX
fcis-5412	125	30	not	not	PART
fcis-5412	125	31	exceed	exceed	VERB
fcis-5412	125	32	4	4	NUM
fcis-5412	125	33	.	.	PUNCT
fcis-5412	125	34	fixing	fix	VERB
fcis-5412	125	35	the	the	DET
fcis-5412	125	36	number	number	NOUN
fcis-5412	125	37	of	of	ADP
fcis-5412	125	38	first	first	ADJ
fcis-5412	125	39	stages	stage	NOUN
fcis-5412	125	40	to	to	ADP
fcis-5412	125	41	2	2	NUM
fcis-5412	125	42	,	,	PUNCT
fcis-5412	125	43	the	the	DET
fcis-5412	125	44	best	good	ADJ
fcis-5412	125	45	two	two	NUM
fcis-5412	125	46	options	option	NOUN
fcis-5412	125	47	are	be	AUX
fcis-5412	125	48	chosen	choose	VERB
fcis-5412	125	49	to	to	PART
fcis-5412	125	50	obtain	obtain	VERB
fcis-5412	125	51	the	the	DET
fcis-5412	125	52	best	good	ADJ
fcis-5412	125	53	performing	perform	VERB
fcis-5412	125	54	options	option	NOUN
fcis-5412	125	55	[	[	X
fcis-5412	125	56	2,3,2	2,3,2	NUM
fcis-5412	125	57	]	]	X
fcis-5412	125	58	and	and	CCONJ
fcis-5412	126	1	[	[	X
fcis-5412	126	2	2,4,1	2,4,1	NUM
fcis-5412	126	3	]	]	X
fcis-5412	126	4	,	,	PUNCT
fcis-5412	126	5	respectively	respectively	ADV
fcis-5412	126	6	,	,	PUNCT
fcis-5412	126	7	and	and	CCONJ
fcis-5412	126	8	the	the	DET
fcis-5412	126	9	second	second	ADJ
fcis-5412	126	10	option	option	NOUN
fcis-5412	126	11	is	be	AUX
fcis-5412	126	12	chosen	choose	VERB
fcis-5412	126	13	after	after	ADP
fcis-5412	126	14	a	a	DET
fcis-5412	126	15	trade	trade	NOUN
fcis-5412	126	16	-	-	PUNCT
fcis-5412	126	17	off	off	NOUN
fcis-5412	126	18	between	between	ADP
fcis-5412	126	19	the	the	DET
fcis-5412	126	20	number	number	NOUN
fcis-5412	126	21	of	of	ADP
fcis-5412	126	22	parameters	parameter	NOUN
fcis-5412	126	23	,	,	PUNCT
fcis-5412	126	24	the	the	DET
fcis-5412	126	25	amount	amount	NOUN
fcis-5412	126	26	of	of	ADP
fcis-5412	126	27	computation	computation	NOUN
fcis-5412	126	28	and	and	CCONJ
fcis-5412	126	29	the	the	DET
fcis-5412	126	30	accuracy	accuracy	NOUN
fcis-5412	126	31	.	.	PUNCT
fcis-5412	127	1	when	when	SCONJ
fcis-5412	127	2	designing	design	VERB
fcis-5412	127	3	the	the	DET
fcis-5412	127	4	palm	palm	NOUN
fcis-5412	127	5	vein	vein	NOUN
fcis-5412	127	6	recognition	recognition	NOUN
fcis-5412	127	7	network	network	NOUN
fcis-5412	127	8	,	,	PUNCT
fcis-5412	127	9	the	the	DET
fcis-5412	127	10	expansion	expansion	NOUN
fcis-5412	127	11	factor	factor	NOUN
fcis-5412	127	12	of	of	ADP
fcis-5412	127	13	the	the	DET
fcis-5412	127	14	se	se	PROPN
fcis-5412	127	15	module	module	NOUN
fcis-5412	127	16	in	in	ADP
fcis-5412	127	17	mobilenetv3	mobilenetv3	PROPN
fcis-5412	127	18	-	-	PUNCT
fcis-5412	127	19	block	block	NOUN
fcis-5412	127	20	and	and	CCONJ
fcis-5412	127	21	mbconv	mbconv	NOUN
fcis-5412	127	22	,	,	PUNCT
fcis-5412	127	23	as	as	ADV
fcis-5412	127	24	well	well	ADV
fcis-5412	127	25	as	as	ADP
fcis-5412	127	26	the	the	DET
fcis-5412	127	27	number	number	NOUN
fcis-5412	127	28	of	of	ADP
fcis-5412	127	29	expansion	expansion	NOUN
fcis-5412	127	30	layers	layer	NOUN
fcis-5412	127	31	used	use	VERB
fcis-5412	127	32	for	for	ADP
fcis-5412	127	33	the	the	DET
fcis-5412	127	34	first	first	ADJ
fcis-5412	127	35	time	time	NOUN
fcis-5412	127	36	within	within	ADP
fcis-5412	127	37	these	these	DET
fcis-5412	127	38	two	two	NUM
fcis-5412	127	39	modules	module	NOUN
fcis-5412	127	40	,	,	PUNCT
fcis-5412	127	41	were	be	AUX
fcis-5412	127	42	set	set	VERB
fcis-5412	127	43	to	to	ADP
fcis-5412	127	44	3	3	NUM
fcis-5412	127	45	.	.	PUNCT
fcis-5412	128	1	for	for	ADP
fcis-5412	128	2	fairness	fairness	NOUN
fcis-5412	128	3	,	,	PUNCT
fcis-5412	128	4	different	different	ADJ
fcis-5412	128	5	sizes	size	NOUN
fcis-5412	128	6	of	of	ADP
fcis-5412	128	7	expansion	expansion	NOUN
fcis-5412	128	8	factors	factor	NOUN
fcis-5412	128	9	are	be	AUX
fcis-5412	128	10	set	set	VERB
fcis-5412	128	11	for	for	ADP
fcis-5412	128	12	the	the	DET
fcis-5412	128	13	last	last	ADJ
fcis-5412	128	14	three	three	NUM
fcis-5412	128	15	data	datum	NOUN
fcis-5412	128	16	in	in	ADP
fcis-5412	128	17	table	table	NOUN
fcis-5412	128	18	1	1	NUM
fcis-5412	128	19	,	,	PUNCT
fcis-5412	128	20	respectively	respectively	ADV
fcis-5412	128	21	.	.	PUNCT
fcis-5412	129	1	it	it	PRON
fcis-5412	129	2	can	can	AUX
fcis-5412	129	3	be	be	AUX
fcis-5412	129	4	seen	see	VERB
fcis-5412	129	5	that	that	SCONJ
fcis-5412	129	6	the	the	DET
fcis-5412	129	7	expansion	expansion	NOUN
fcis-5412	129	8	factor	factor	NOUN
fcis-5412	129	9	layer	layer	NOUN
fcis-5412	129	10	correlation	correlation	NOUN
fcis-5412	129	11	,	,	PUNCT
fcis-5412	129	12	the	the	PRON
fcis-5412	129	13	larger	large	ADJ
fcis-5412	129	14	the	the	DET
fcis-5412	129	15	expansion	expansion	NOUN
fcis-5412	129	16	factor	factor	NOUN
fcis-5412	129	17	the	the	PRON
fcis-5412	129	18	better	well	ADJ
fcis-5412	129	19	the	the	DET
fcis-5412	129	20	effect	effect	NOUN
fcis-5412	129	21	may	may	AUX
fcis-5412	129	22	be	be	AUX
fcis-5412	129	23	,	,	PUNCT
fcis-5412	129	24	due	due	ADP
fcis-5412	129	25	to	to	ADP
fcis-5412	129	26	the	the	DET
fcis-5412	129	27	number	number	NOUN
fcis-5412	129	28	of	of	ADP
fcis-5412	129	29	covariates	covariate	NOUN
fcis-5412	129	30	.	.	PUNCT
fcis-5412	130	1	due	due	ADP
fcis-5412	130	2	to	to	ADP
fcis-5412	130	3	the	the	DET
fcis-5412	130	4	limitation	limitation	NOUN
fcis-5412	130	5	of	of	ADP
fcis-5412	130	6	the	the	DET
fcis-5412	130	7	number	number	NOUN
fcis-5412	130	8	of	of	ADP
fcis-5412	130	9	parameters	parameter	NOUN
fcis-5412	130	10	,	,	PUNCT
fcis-5412	130	11	3	3	NUM
fcis-5412	130	12	is	be	AUX
fcis-5412	130	13	finally	finally	ADV
fcis-5412	130	14	chosen	choose	VERB
fcis-5412	130	15	as	as	ADP
fcis-5412	130	16	the	the	DET
fcis-5412	130	17	expansion	expansion	NOUN
fcis-5412	130	18	factor	factor	NOUN
fcis-5412	130	19	of	of	ADP
fcis-5412	130	20	the	the	DET
fcis-5412	130	21	feature	feature	NOUN
fcis-5412	130	22	extraction	extraction	NOUN
fcis-5412	130	23	network	network	NOUN
fcis-5412	130	24	.	.	PUNCT
fcis-5412	131	1	5	5	X
fcis-5412	131	2	.	.	X
fcis-5412	131	3	conclusion	conclusion	NOUN
fcis-5412	131	4	in	in	ADP
fcis-5412	131	5	this	this	DET
fcis-5412	131	6	paper	paper	NOUN
fcis-5412	131	7	,	,	PUNCT
fcis-5412	131	8	a	a	DET
fcis-5412	131	9	palm	palm	NOUN
fcis-5412	131	10	vein	vein	NOUN
fcis-5412	131	11	recognition	recognition	NOUN
fcis-5412	131	12	network	network	NOUN
fcis-5412	131	13	with	with	ADP
fcis-5412	131	14	three	three	NUM
fcis-5412	131	15	stages	stage	NOUN
fcis-5412	131	16	is	be	AUX
fcis-5412	131	17	designed	design	VERB
fcis-5412	131	18	using	use	VERB
fcis-5412	131	19	a	a	DET
fcis-5412	131	20	combination	combination	NOUN
fcis-5412	131	21	of	of	ADP
fcis-5412	131	22	block	block	NOUN
fcis-5412	131	23	of	of	ADP
fcis-5412	131	24	shufflenet	shufflenet	NOUN
fcis-5412	131	25	,	,	PUNCT
fcis-5412	131	26	block	block	NOUN
fcis-5412	131	27	of	of	ADP
fcis-5412	131	28	mobilenetv3	mobilenetv3	PROPN
fcis-5412	131	29	,	,	PUNCT
fcis-5412	131	30	and	and	CCONJ
fcis-5412	131	31	mbconv	mbconv	NOUN
fcis-5412	131	32	of	of	ADP
fcis-5412	131	33	efficientnet	efficientnet	NOUN
fcis-5412	131	34	.	.	PUNCT
fcis-5412	132	1	the	the	DET
fcis-5412	132	2	number	number	NOUN
fcis-5412	132	3	of	of	ADP
fcis-5412	132	4	stages	stage	NOUN
fcis-5412	132	5	and	and	CCONJ
fcis-5412	132	6	expansion	expansion	NOUN
fcis-5412	132	7	factors	factor	NOUN
fcis-5412	132	8	of	of	ADP
fcis-5412	132	9	the	the	DET
fcis-5412	132	10	network	network	NOUN
fcis-5412	132	11	are	be	AUX
fcis-5412	132	12	chosen	choose	VERB
fcis-5412	132	13	based	base	VERB
fcis-5412	132	14	on	on	ADP
fcis-5412	132	15	the	the	DET
fcis-5412	132	16	parameters	parameter	NOUN
fcis-5412	132	17	and	and	CCONJ
fcis-5412	132	18	computational	computational	ADJ
fcis-5412	132	19	effort	effort	NOUN
fcis-5412	132	20	of	of	ADP
fcis-5412	132	21	the	the	DET
fcis-5412	132	22	baseline	baseline	NOUN
fcis-5412	132	23	.	.	PUNCT
fcis-5412	133	1	the	the	DET
fcis-5412	133	2	proposed	propose	VERB
fcis-5412	133	3	network	network	NOUN
fcis-5412	133	4	achieves	achieve	VERB
fcis-5412	133	5	better	well	ADJ
fcis-5412	133	6	performance	performance	NOUN
fcis-5412	133	7	compared	compare	VERB
fcis-5412	133	8	to	to	ADP
fcis-5412	133	9	the	the	DET
fcis-5412	133	10	baseline	baseline	NOUN
fcis-5412	133	11	.	.	PUNCT
fcis-5412	134	1	this	this	DET
fcis-5412	134	2	work	work	NOUN
fcis-5412	134	3	demonstrates	demonstrate	VERB
fcis-5412	134	4	the	the	DET
fcis-5412	134	5	effectiveness	effectiveness	NOUN
fcis-5412	134	6	of	of	ADP
fcis-5412	134	7	combining	combine	VERB
fcis-5412	134	8	different	different	ADJ
fcis-5412	134	9	block	block	NOUN
fcis-5412	134	10	structures	structure	NOUN
fcis-5412	134	11	when	when	SCONJ
fcis-5412	134	12	designing	design	VERB
fcis-5412	134	13	palm	palm	NOUN
fcis-5412	134	14	vein	vein	NOUN
fcis-5412	134	15	recognition	recognition	NOUN
fcis-5412	134	16	networks	network	NOUN
fcis-5412	134	17	and	and	CCONJ
fcis-5412	134	18	the	the	DET
fcis-5412	134	19	importance	importance	NOUN
fcis-5412	134	20	of	of	ADP
fcis-5412	134	21	carefully	carefully	ADV
fcis-5412	134	22	selecting	select	VERB
fcis-5412	134	23	network	network	NOUN
fcis-5412	134	24	parameters	parameter	NOUN
fcis-5412	134	25	to	to	PART
fcis-5412	134	26	optimize	optimize	VERB
fcis-5412	134	27	feature	feature	NOUN
fcis-5412	134	28	recognition	recognition	NOUN
fcis-5412	134	29	performance	performance	NOUN
fcis-5412	134	30	.	.	PUNCT
fcis-5412	135	1	the	the	DET
fcis-5412	135	2	accuracy	accuracy	NOUN
fcis-5412	135	3	and	and	CCONJ
fcis-5412	135	4	efficiency	efficiency	NOUN
fcis-5412	135	5	of	of	ADP
fcis-5412	135	6	the	the	DET
fcis-5412	135	7	proposed	propose	VERB
fcis-5412	135	8	method	method	NOUN
fcis-5412	135	9	for	for	ADP
fcis-5412	135	10	palm	palm	NOUN
fcis-5412	135	11	vein	vein	NOUN
fcis-5412	135	12	recognition	recognition	NOUN
fcis-5412	135	13	is	be	AUX
fcis-5412	135	14	improved	improve	VERB
fcis-5412	135	15	.	.	PUNCT
fcis-5412	136	1	since	since	SCONJ
fcis-5412	136	2	this	this	DET
fcis-5412	136	3	paper	paper	NOUN
fcis-5412	136	4	is	be	AUX
fcis-5412	136	5	only	only	ADV
fcis-5412	136	6	experimented	experiment	VERB
fcis-5412	136	7	and	and	CCONJ
fcis-5412	136	8	validated	validate	VERB
fcis-5412	136	9	on	on	ADP
fcis-5412	136	10	a	a	DET
fcis-5412	136	11	closed	closed	ADJ
fcis-5412	136	12	set	set	VERB
fcis-5412	136	13	dataset	dataset	NOUN
fcis-5412	136	14	,	,	PUNCT
fcis-5412	136	15	future	future	ADJ
fcis-5412	136	16	optimization	optimization	NOUN
fcis-5412	136	17	work	work	NOUN
fcis-5412	136	18	will	will	AUX
fcis-5412	136	19	be	be	AUX
fcis-5412	136	20	performed	perform	VERB
fcis-5412	136	21	on	on	ADP
fcis-5412	136	22	an	an	DET
fcis-5412	136	23	open	open	ADJ
fcis-5412	136	24	set	set	NOUN
fcis-5412	136	25	dataset	dataset	NOUN
fcis-5412	136	26	to	to	PART
fcis-5412	136	27	validate	validate	VERB
fcis-5412	136	28	again	again	ADV
fcis-5412	136	29	.	.	PUNCT
fcis-5412	137	1	references	reference	NOUN
fcis-5412	137	2	[	[	X
fcis-5412	137	3	1	1	NUM
fcis-5412	137	4	]	]	PUNCT
fcis-5412	137	5	ladoux	ladoux	NOUN
fcis-5412	137	6	p	p	PROPN
fcis-5412	137	7	o	o	PROPN
fcis-5412	137	8	,	,	PUNCT
fcis-5412	137	9	rosenberger	rosenberger	PROPN
fcis-5412	137	10	c	c	PROPN
fcis-5412	137	11	,	,	PUNCT
fcis-5412	137	12	dorizzi	dorizzi	PROPN
fcis-5412	137	13	b.	b.	PROPN
fcis-5412	137	14	palm	palm	PROPN
fcis-5412	137	15	vein	vein	NOUN
fcis-5412	137	16	verification	verification	NOUN
fcis-5412	137	17	system	system	NOUN
fcis-5412	137	18	based	base	VERB
fcis-5412	137	19	on	on	ADP
fcis-5412	137	20	sift	sift	PROPN
fcis-5412	137	21	matching	matching	NOUN
fcis-5412	137	22	,	,	PUNCT
fcis-5412	137	23	advances	advance	NOUN
fcis-5412	137	24	in	in	ADP
fcis-5412	137	25	biometrics	biometric	NOUN
fcis-5412	137	26	:	:	PUNCT
fcis-5412	137	27	third	third	ADJ
fcis-5412	137	28	international	international	ADJ
fcis-5412	137	29	conference	conference	NOUN
fcis-5412	137	30	,	,	PUNCT
fcis-5412	137	31	icb	icb	PROPN
fcis-5412	137	32	2009	2009	NUM
fcis-5412	137	33	,	,	PUNCT
fcis-5412	137	34	alghero	alghero	PROPN
fcis-5412	137	35	,	,	PUNCT
fcis-5412	137	36	italy	italy	PROPN
fcis-5412	137	37	,	,	PUNCT
fcis-5412	137	38	june	june	PROPN
fcis-5412	137	39	2	2	NUM
fcis-5412	137	40	-	-	SYM
fcis-5412	137	41	5	5	NUM
fcis-5412	137	42	,	,	PUNCT
fcis-5412	137	43	2009	2009	NUM
fcis-5412	137	44	.	.	PUNCT
fcis-5412	138	1	p.1290	p.1290	NOUN
fcis-5412	138	2	-	-	PUNCT
fcis-5412	138	3	1298	1298	NUM
fcis-5412	138	4	.	.	PUNCT
fcis-5412	139	1	[	[	X
fcis-5412	139	2	2	2	X
fcis-5412	139	3	]	]	PUNCT
fcis-5412	139	4	michael	michael	PROPN
fcis-5412	139	5	g	g	PROPN
fcis-5412	139	6	k	k	PROPN
fcis-5412	139	7	o	o	PROPN
fcis-5412	139	8	,	,	PUNCT
fcis-5412	139	9	connie	connie	PROPN
fcis-5412	139	10	t	t	PROPN
fcis-5412	139	11	,	,	PUNCT
fcis-5412	139	12	hoe	hoe	ADJ
fcis-5412	139	13	l	l	NOUN
fcis-5412	139	14	s	s	X
fcis-5412	139	15	,	,	PUNCT
fcis-5412	139	16	et	et	PROPN
fcis-5412	139	17	al	al	PROPN
fcis-5412	139	18	.	.	PROPN
fcis-5412	140	1	design	design	NOUN
fcis-5412	140	2	and	and	CCONJ
fcis-5412	140	3	implementation	implementation	NOUN
fcis-5412	140	4	of	of	ADP
fcis-5412	140	5	a	a	DET
fcis-5412	140	6	contactless	contactless	ADJ
fcis-5412	140	7	palm	palm	NOUN
fcis-5412	140	8	vein	vein	NOUN
fcis-5412	140	9	recognition	recognition	NOUN
fcis-5412	140	10	system	system	NOUN
fcis-5412	140	11	,	,	PUNCT
fcis-5412	140	12	the	the	DET
fcis-5412	140	13	1st	1st	ADJ
fcis-5412	140	14	symposium	symposium	NOUN
fcis-5412	140	15	on	on	ADP
fcis-5412	140	16	information	information	NOUN
fcis-5412	140	17	and	and	CCONJ
fcis-5412	140	18	communication	communication	NOUN
fcis-5412	140	19	technology	technology	NOUN
fcis-5412	140	20	.	.	PUNCT
fcis-5412	141	1	2010	2010	NUM
fcis-5412	141	2	,	,	PUNCT
fcis-5412	141	3	p.	p.	NOUN
fcis-5412	141	4	92	92	NUM
fcis-5412	141	5	-	-	SYM
fcis-5412	141	6	99	99	NUM
fcis-5412	141	7	.	.	PUNCT
fcis-5412	142	1	[	[	X
fcis-5412	142	2	3	3	X
fcis-5412	142	3	]	]	X
fcis-5412	142	4	wang	wang	PROPN
fcis-5412	142	5	j	j	PROPN
fcis-5412	142	6	g	g	PROPN
fcis-5412	142	7	,	,	PUNCT
fcis-5412	142	8	yau	yau	PROPN
fcis-5412	142	9	w	w	PROPN
fcis-5412	142	10	y	y	PROPN
fcis-5412	142	11	,	,	PUNCT
fcis-5412	142	12	suwandy	suwandy	PROPN
fcis-5412	142	13	a	a	PROPN
fcis-5412	142	14	,	,	PUNCT
fcis-5412	142	15	et	et	PROPN
fcis-5412	142	16	al	al	PROPN
fcis-5412	142	17	.	.	PROPN
fcis-5412	142	18	person	person	NOUN
fcis-5412	142	19	recognition	recognition	NOUN
fcis-5412	142	20	by	by	ADP
fcis-5412	142	21	fusing	fuse	VERB
fcis-5412	142	22	palmprint	palmprint	NOUN
fcis-5412	142	23	and	and	CCONJ
fcis-5412	142	24	palm	palm	NOUN
fcis-5412	142	25	vein	vein	NOUN
fcis-5412	142	26	images	image	NOUN
fcis-5412	142	27	based	base	VERB
fcis-5412	142	28	on	on	ADP
fcis-5412	142	29	“	"	PUNCT
fcis-5412	142	30	laplacianpalm	laplacianpalm	NOUN
fcis-5412	142	31	”	"	PUNCT
fcis-5412	142	32	representation	representation	NOUN
fcis-5412	142	33	.	.	PUNCT
fcis-5412	143	1	pattern	pattern	NOUN
fcis-5412	143	2	recognition	recognition	NOUN
fcis-5412	143	3	,	,	PUNCT
fcis-5412	143	4	2008	2008	NUM
fcis-5412	143	5	,	,	PUNCT
fcis-5412	143	6	41(5	41(5	NUM
fcis-5412	143	7	)	)	PUNCT
fcis-5412	143	8	,	,	PUNCT
fcis-5412	143	9	p.	p.	NOUN
fcis-5412	143	10	1514	1514	NUM
fcis-5412	143	11	-	-	SYM
fcis-5412	143	12	1527	1527	NUM
fcis-5412	143	13	.	.	PUNCT
fcis-5412	144	1	[	[	X
fcis-5412	144	2	4	4	X
fcis-5412	144	3	]	]	X
fcis-5412	144	4	tarawneh	tarawneh	NOUN
fcis-5412	144	5	a	a	DET
fcis-5412	144	6	s	s	PROPN
fcis-5412	144	7	,	,	PUNCT
fcis-5412	144	8	chetverikov	chetverikov	NOUN
fcis-5412	144	9	d	d	PROPN
fcis-5412	144	10	,	,	PUNCT
fcis-5412	144	11	hassanat	hassanat	PROPN
fcis-5412	144	12	a	a	DET
fcis-5412	144	13	b.	b.	PROPN
fcis-5412	144	14	pilot	pilot	NOUN
fcis-5412	144	15	comparative	comparative	ADJ
fcis-5412	144	16	study	study	NOUN
fcis-5412	144	17	of	of	ADP
fcis-5412	144	18	different	different	ADJ
fcis-5412	144	19	deep	deep	ADJ
fcis-5412	144	20	features	feature	NOUN
fcis-5412	144	21	for	for	ADP
fcis-5412	144	22	palmprint	palmprint	NOUN
fcis-5412	144	23	identification	identification	NOUN
fcis-5412	144	24	in	in	ADP
fcis-5412	144	25	low	low	ADJ
fcis-5412	144	26	-	-	PUNCT
fcis-5412	144	27	quality	quality	NOUN
fcis-5412	144	28	images	image	NOUN
fcis-5412	144	29	.	.	PUNCT
fcis-5412	145	1	arxiv	arxiv	PROPN
fcis-5412	145	2	preprint	preprint	NOUN
fcis-5412	145	3	arxiv:1804.04602	arxiv:1804.04602	PROPN
fcis-5412	145	4	,	,	PUNCT
fcis-5412	145	5	2018	2018	NUM
fcis-5412	145	6	.	.	PUNCT
fcis-5412	146	1	[	[	X
fcis-5412	146	2	5	5	X
fcis-5412	146	3	]	]	X
fcis-5412	146	4	lou	lou	PROPN
fcis-5412	146	5	j	j	PROPN
fcis-5412	146	6	,	,	PUNCT
fcis-5412	146	7	wang	wang	PROPN
fcis-5412	146	8	b.	b.	PROPN
fcis-5412	146	9	palm	palm	PROPN
fcis-5412	146	10	vein	vein	PROPN
fcis-5412	146	11	recognition	recognition	NOUN
fcis-5412	146	12	via	via	ADP
fcis-5412	146	13	multi	multi	ADJ
fcis-5412	146	14	-	-	ADJ
fcis-5412	146	15	task	task	ADJ
fcis-5412	146	16	loss	loss	NOUN
fcis-5412	146	17	function	function	NOUN
fcis-5412	146	18	and	and	CCONJ
fcis-5412	146	19	attention	attention	NOUN
fcis-5412	146	20	layer	layer	NOUN
fcis-5412	146	21	.	.	PUNCT
fcis-5412	147	1	arxiv	arxiv	PROPN
fcis-5412	147	2	preprint	preprint	PROPN
fcis-5412	147	3	arxiv:2211.05970	arxiv:2211.05970	NOUN
fcis-5412	147	4	,	,	PUNCT
fcis-5412	147	5	2022	2022	NUM
fcis-5412	147	6	.	.	PUNCT
fcis-5412	148	1	105	105	NUM
fcis-5412	149	1	[	[	SYM
fcis-5412	149	2	6	6	NUM
fcis-5412	149	3	]	]	X
fcis-5412	149	4	watanabe	watanabe	PROPN
fcis-5412	149	5	m.	m.	PROPN
fcis-5412	149	6	palm	palm	PROPN
fcis-5412	149	7	vein	vein	VERB
fcis-5412	149	8	authentication	authentication	NOUN
fcis-5412	149	9	in	in	ADP
fcis-5412	149	10	advances	advance	NOUN
fcis-5412	149	11	in	in	ADP
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fcis-5412	149	13	.	.	PUNCT
fcis-5412	150	1	heidelberg，germany	heidelberg，germany	NOUN
fcis-5412	150	2	:	:	PUNCT
fcis-5412	150	3	springer	springer	NOUN
fcis-5412	150	4	-	-	PUNCT
fcis-5412	150	5	verlag，2008	verlag，2008	NOUN
fcis-5412	150	6	,	,	PUNCT
fcis-5412	150	7	p.	p.	NOUN
fcis-5412	150	8	75	75	NUM
fcis-5412	150	9	-	-	SYM
fcis-5412	150	10	88	88	NUM
fcis-5412	150	11	.	.	PUNCT
fcis-5412	151	1	[	[	X
fcis-5412	151	2	7	7	X
fcis-5412	151	3	]	]	X
fcis-5412	151	4	howard	howard	PROPN
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fcis-5412	151	6	,	,	PUNCT
fcis-5412	151	7	sandler	sandler	PROPN
fcis-5412	151	8	m	m	PROPN
fcis-5412	151	9	,	,	PUNCT
fcis-5412	151	10	chu	chu	PROPN
fcis-5412	151	11	g	g	PROPN
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fcis-5412	151	13	et	et	PROPN
fcis-5412	151	14	al	al	PROPN
fcis-5412	151	15	.	.	PUNCT
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fcis-5412	151	18	mobilenetv3	mobilenetv3	PROPN
fcis-5412	151	19	,	,	PUNCT
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fcis-5412	151	21	of	of	ADP
fcis-5412	151	22	the	the	DET
fcis-5412	151	23	ieee	ieee	NOUN
fcis-5412	151	24	/	/	SYM
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fcis-5412	151	27	conference	conference	NOUN
fcis-5412	151	28	on	on	ADP
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fcis-5412	151	31	.	.	PUNCT
fcis-5412	152	1	2019	2019	NUM
fcis-5412	152	2	,	,	PUNCT
fcis-5412	152	3	p.	p.	NOUN
fcis-5412	152	4	1314	1314	NUM
fcis-5412	152	5	-	-	SYM
fcis-5412	152	6	1324	1324	NUM
fcis-5412	152	7	.	.	PUNCT
fcis-5412	153	1	[	[	X
fcis-5412	153	2	8	8	NUM
fcis-5412	153	3	]	]	X
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fcis-5412	153	6	,	,	PUNCT
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fcis-5412	153	9	,	,	PUNCT
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fcis-5412	153	11	h	h	PROPN
fcis-5412	153	12	t	t	PROPN
fcis-5412	153	13	,	,	PUNCT
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fcis-5412	153	21	guidelines	guideline	NOUN
fcis-5412	153	22	for	for	ADP
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fcis-5412	153	24	cnn	cnn	PROPN
fcis-5412	153	25	architecture	architecture	NOUN
fcis-5412	153	26	design	design	NOUN
fcis-5412	153	27	,	,	PUNCT
fcis-5412	153	28	proceedings	proceeding	NOUN
fcis-5412	153	29	of	of	ADP
fcis-5412	153	30	the	the	DET
fcis-5412	153	31	european	european	PROPN
fcis-5412	153	32	conference	conference	PROPN
fcis-5412	153	33	on	on	ADP
fcis-5412	153	34	computer	computer	NOUN
fcis-5412	153	35	vision	vision	NOUN
fcis-5412	153	36	(	(	PUNCT
fcis-5412	153	37	eccv	eccv	ADV
fcis-5412	153	38	)	)	PUNCT
fcis-5412	153	39	.	.	PUNCT
fcis-5412	154	1	2018	2018	NUM
fcis-5412	154	2	,	,	PUNCT
fcis-5412	154	3	p.	p.	NOUN
fcis-5412	154	4	116	116	NUM
fcis-5412	154	5	-	-	SYM
fcis-5412	154	6	131	131	NUM
fcis-5412	154	7	.	.	PUNCT
fcis-5412	155	1	[	[	X
fcis-5412	155	2	9	9	NUM
fcis-5412	155	3	]	]	X
fcis-5412	155	4	tan	tan	PROPN
fcis-5412	155	5	m	m	PROPN
fcis-5412	155	6	,	,	PUNCT
fcis-5412	155	7	le	le	PROPN
fcis-5412	155	8	q.	q.	PROPN
fcis-5412	155	9	efficientnetv2	efficientnetv2	PROPN
fcis-5412	155	10	:	:	PUNCT
fcis-5412	155	11	smaller	small	ADJ
fcis-5412	155	12	models	model	NOUN
fcis-5412	155	13	and	and	CCONJ
fcis-5412	155	14	faster	fast	ADJ
fcis-5412	155	15	training	training	NOUN
fcis-5412	155	16	,	,	PUNCT
fcis-5412	155	17	international	international	ADJ
fcis-5412	155	18	conference	conference	NOUN
fcis-5412	155	19	on	on	ADP
fcis-5412	155	20	machine	machine	NOUN
fcis-5412	155	21	learning	learning	NOUN
fcis-5412	155	22	.	.	PUNCT
fcis-5412	156	1	pmlr	pmlr	NOUN
fcis-5412	156	2	,	,	PUNCT
fcis-5412	156	3	2021	2021	NUM
fcis-5412	156	4	,	,	PUNCT
fcis-5412	156	5	p.	p.	NOUN
fcis-5412	156	6	10096	10096	NUM
fcis-5412	156	7	-	-	SYM
fcis-5412	156	8	10106	10106	NUM
fcis-5412	156	9	.	.	PUNCT
fcis-5412	157	1	[	[	X
fcis-5412	157	2	10	10	NUM
fcis-5412	157	3	]	]	X
fcis-5412	157	4	ma	ma	PROPN
fcis-5412	157	5	n	n	PROPN
fcis-5412	157	6	,	,	PUNCT
fcis-5412	157	7	zhang	zhang	PROPN
fcis-5412	157	8	x	x	PROPN
fcis-5412	157	9	,	,	PUNCT
fcis-5412	157	10	zheng	zheng	PROPN
fcis-5412	157	11	h	h	PROPN
fcis-5412	157	12	t	t	PROPN
fcis-5412	157	13	,	,	PUNCT
fcis-5412	157	14	et	et	PROPN
fcis-5412	157	15	al	al	PROPN
fcis-5412	157	16	.	.	PUNCT
fcis-5412	157	17	shufflenet	shufflenet	PROPN
fcis-5412	157	18	v2	v2	PROPN
fcis-5412	157	19	:	:	PUNCT
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fcis-5412	157	21	guidelines	guideline	NOUN
fcis-5412	157	22	for	for	ADP
fcis-5412	157	23	efficient	efficient	ADJ
fcis-5412	157	24	cnn	cnn	PROPN
fcis-5412	157	25	architecture	architecture	NOUN
fcis-5412	157	26	design	design	NOUN
fcis-5412	157	27	,	,	PUNCT
fcis-5412	157	28	proceedings	proceeding	NOUN
fcis-5412	157	29	of	of	ADP
fcis-5412	157	30	the	the	DET
fcis-5412	157	31	european	european	PROPN
fcis-5412	157	32	conference	conference	PROPN
fcis-5412	157	33	on	on	ADP
fcis-5412	157	34	computer	computer	NOUN
fcis-5412	157	35	vision	vision	NOUN
fcis-5412	157	36	(	(	PUNCT
fcis-5412	157	37	eccv	eccv	ADV
fcis-5412	157	38	)	)	PUNCT
fcis-5412	157	39	.	.	PUNCT
fcis-5412	158	1	2018	2018	NUM
fcis-5412	158	2	,	,	PUNCT
fcis-5412	158	3	p.	p.	NOUN
fcis-5412	158	4	116	116	NUM
fcis-5412	158	5	-	-	SYM
fcis-5412	158	6	131	131	NUM
fcis-5412	158	7	.	.	PUNCT