id	sid	tid	token	lemma	pos
fcis-30018	1	1	frontiers	frontier	NOUN
fcis-30018	1	2	in	in	ADP
fcis-30018	1	3	computing	computing	NOUN
fcis-30018	1	4	and	and	CCONJ
fcis-30018	1	5	intelligent	intelligent	ADJ
fcis-30018	1	6	systems	system	NOUN
fcis-30018	1	7	issn	issn	VERB
fcis-30018	1	8	:	:	PUNCT
fcis-30018	1	9	2832	2832	NUM
fcis-30018	1	10	-	-	SYM
fcis-30018	1	11	6024	6024	NUM
fcis-30018	1	12	|	|	NOUN
fcis-30018	1	13	vol	vol	NOUN
fcis-30018	1	14	.	.	PROPN
fcis-30018	2	1	11	11	NUM
fcis-30018	2	2	,	,	PUNCT
fcis-30018	2	3	no	no	INTJ
fcis-30018	2	4	.	.	NOUN
fcis-30018	2	5	3	3	NUM
fcis-30018	2	6	,	,	PUNCT
fcis-30018	2	7	2025	2025	NUM
fcis-30018	2	8	48	48	NUM
fcis-30018	2	9	research	research	NOUN
fcis-30018	2	10	on	on	ADP
fcis-30018	2	11	the	the	DET
fcis-30018	2	12	fast‐gwcnet	fast‐gwcnet	NOUN
fcis-30018	2	13	3d	3d	NUM
fcis-30018	2	14	reconstruction	reconstruction	NOUN
fcis-30018	2	15	method	method	NOUN
fcis-30018	2	16	for	for	ADP
fcis-30018	2	17	crime	crime	NOUN
fcis-30018	2	18	scenes	scene	NOUN
fcis-30018	2	19	yao	yao	PROPN
fcis-30018	2	20	zhou	zhou	PROPN
fcis-30018	2	21	,	,	PUNCT
fcis-30018	2	22	lixin	lixin	PROPN
fcis-30018	2	23	zhao	zhao	PROPN
fcis-30018	2	24	and	and	CCONJ
fcis-30018	2	25	fanliang	fanliang	PROPN
fcis-30018	2	26	bu	bu	PROPN
fcis-30018	2	27	*	*	PUNCT
fcis-30018	3	1	china	china	PROPN
fcis-30018	3	2	people	people	NOUN
fcis-30018	3	3	's	's	PART
fcis-30018	3	4	public	public	ADJ
fcis-30018	3	5	security	security	NOUN
fcis-30018	3	6	university	university	PROPN
fcis-30018	3	7	of	of	ADP
fcis-30018	3	8	china	china	PROPN
fcis-30018	3	9	beijing	beijing	PROPN
fcis-30018	3	10	,	,	PUNCT
fcis-30018	3	11	china	china	PROPN
fcis-30018	3	12	*	*	PUNCT
fcis-30018	3	13	corresponding	correspond	VERB
fcis-30018	3	14	author	author	NOUN
fcis-30018	3	15	:	:	PUNCT
fcis-30018	3	16	fanliang	fanliang	PROPN
fcis-30018	3	17	bu	bu	PROPN
fcis-30018	3	18	(	(	PUNCT
fcis-30018	3	19	email	email	NOUN
fcis-30018	3	20	:	:	PUNCT
fcis-30018	3	21	bufanliang@sina.com	bufanliang@sina.com	X
fcis-30018	3	22	)	)	PUNCT
fcis-30018	3	23	abstract	abstract	NOUN
fcis-30018	3	24	:	:	PUNCT
fcis-30018	3	25	the	the	DET
fcis-30018	3	26	3d	3d	PROPN
fcis-30018	3	27	reconstruction	reconstruction	NOUN
fcis-30018	3	28	of	of	ADP
fcis-30018	3	29	the	the	DET
fcis-30018	3	30	case	case	NOUN
fcis-30018	3	31	scene	scene	NOUN
fcis-30018	3	32	is	be	AUX
fcis-30018	3	33	a	a	DET
fcis-30018	3	34	key	key	ADJ
fcis-30018	3	35	technology	technology	NOUN
fcis-30018	3	36	for	for	ADP
fcis-30018	3	37	judicial	judicial	ADJ
fcis-30018	3	38	evidence	evidence	NOUN
fcis-30018	3	39	collection	collection	NOUN
fcis-30018	3	40	and	and	CCONJ
fcis-30018	3	41	physical	physical	ADJ
fcis-30018	3	42	evidence	evidence	NOUN
fcis-30018	3	43	analysis	analysis	NOUN
fcis-30018	3	44	,	,	PUNCT
fcis-30018	3	45	which	which	PRON
fcis-30018	3	46	restores	restore	VERB
fcis-30018	3	47	the	the	DET
fcis-30018	3	48	details	detail	NOUN
fcis-30018	3	49	of	of	ADP
fcis-30018	3	50	the	the	DET
fcis-30018	3	51	3d	3d	ADJ
fcis-30018	3	52	scene	scene	NOUN
fcis-30018	3	53	of	of	ADP
fcis-30018	3	54	the	the	DET
fcis-30018	3	55	x	x	PROPN
fcis-30018	3	56	scene	scene	NOUN
fcis-30018	3	57	through	through	ADP
fcis-30018	3	58	high	high	ADJ
fcis-30018	3	59	-	-	PUNCT
fcis-30018	3	60	precision	precision	NOUN
fcis-30018	3	61	stereo	stereo	NOUN
fcis-30018	3	62	matching	matching	NOUN
fcis-30018	3	63	,	,	PUNCT
fcis-30018	3	64	which	which	PRON
fcis-30018	3	65	significantly	significantly	ADV
fcis-30018	3	66	surpasses	surpass	VERB
fcis-30018	3	67	the	the	DET
fcis-30018	3	68	clue	clue	NOUN
fcis-30018	3	69	mining	mining	NOUN
fcis-30018	3	70	ability	ability	NOUN
fcis-30018	3	71	of	of	ADP
fcis-30018	3	72	2d	2d	NUM
fcis-30018	3	73	images	image	NOUN
fcis-30018	3	74	.	.	PUNCT
fcis-30018	4	1	however	however	ADV
fcis-30018	4	2	,	,	PUNCT
fcis-30018	4	3	traditional	traditional	ADJ
fcis-30018	4	4	algorithms	algorithm	NOUN
fcis-30018	4	5	are	be	AUX
fcis-30018	4	6	prone	prone	ADJ
fcis-30018	4	7	to	to	ADP
fcis-30018	4	8	matching	match	VERB
fcis-30018	4	9	ambiguity	ambiguity	NOUN
fcis-30018	4	10	in	in	ADP
fcis-30018	4	11	complex	complex	ADJ
fcis-30018	4	12	scene	scene	NOUN
fcis-30018	4	13	environments	environment	NOUN
fcis-30018	4	14	(	(	PUNCT
fcis-30018	4	15	such	such	ADJ
fcis-30018	4	16	as	as	ADP
fcis-30018	4	17	weakly	weakly	ADJ
fcis-30018	4	18	textured	textured	ADJ
fcis-30018	4	19	physical	physical	ADJ
fcis-30018	4	20	evidence	evidence	NOUN
fcis-30018	4	21	,	,	PUNCT
fcis-30018	4	22	dynamic	dynamic	ADJ
fcis-30018	4	23	occlusion	occlusion	NOUN
fcis-30018	4	24	,	,	PUNCT
fcis-30018	4	25	and	and	CCONJ
fcis-30018	4	26	non	non	ADJ
fcis-30018	4	27	-	-	ADJ
fcis-30018	4	28	lambert	lambert	ADJ
fcis-30018	4	29	surfaces	surface	NOUN
fcis-30018	4	30	)	)	PUNCT
fcis-30018	4	31	,	,	PUNCT
fcis-30018	4	32	and	and	CCONJ
fcis-30018	4	33	at	at	ADP
fcis-30018	4	34	the	the	DET
fcis-30018	4	35	same	same	ADJ
fcis-30018	4	36	time	time	NOUN
fcis-30018	4	37	,	,	PUNCT
fcis-30018	4	38	to	to	PART
fcis-30018	4	39	meet	meet	VERB
fcis-30018	4	40	the	the	DET
fcis-30018	4	41	needs	need	NOUN
fcis-30018	4	42	of	of	ADP
fcis-30018	4	43	accuracy	accuracy	NOUN
fcis-30018	4	44	and	and	CCONJ
fcis-30018	4	45	efficiency	efficiency	NOUN
fcis-30018	4	46	of	of	ADP
fcis-30018	4	47	3d	3d	NOUN
fcis-30018	4	48	reconstruction	reconstruction	NOUN
fcis-30018	4	49	of	of	ADP
fcis-30018	4	50	case	case	NOUN
fcis-30018	4	51	scenes	scene	NOUN
fcis-30018	4	52	,	,	PUNCT
fcis-30018	4	53	this	this	DET
fcis-30018	4	54	paper	paper	NOUN
fcis-30018	4	55	designs	design	VERB
fcis-30018	4	56	a	a	DET
fcis-30018	4	57	lightweight	lightweight	ADJ
fcis-30018	4	58	stereo	stereo	NOUN
fcis-30018	4	59	matching	matching	NOUN
fcis-30018	4	60	algorithm	algorithm	NOUN
fcis-30018	4	61	based	base	VERB
fcis-30018	4	62	on	on	ADP
fcis-30018	4	63	the	the	DET
fcis-30018	4	64	gwcnet	gwcnet	NOUN
fcis-30018	4	65	basic	basic	ADJ
fcis-30018	4	66	model	model	NOUN
fcis-30018	4	67	,	,	PUNCT
fcis-30018	4	68	in	in	ADP
fcis-30018	4	69	which	which	PRON
fcis-30018	4	70	the	the	DET
fcis-30018	4	71	s2a	s2a	NOUN
fcis-30018	4	72	attention	attention	NOUN
fcis-30018	4	73	mechanism	mechanism	NOUN
fcis-30018	4	74	is	be	AUX
fcis-30018	4	75	introduced	introduce	VERB
fcis-30018	4	76	to	to	PART
fcis-30018	4	77	improve	improve	VERB
fcis-30018	4	78	the	the	DET
fcis-30018	4	79	feature	feature	NOUN
fcis-30018	4	80	extraction	extraction	NOUN
fcis-30018	4	81	,	,	PUNCT
fcis-30018	4	82	the	the	DET
fcis-30018	4	83	mpm	mpm	NOUN
fcis-30018	4	84	module	module	NOUN
fcis-30018	4	85	and	and	CCONJ
fcis-30018	4	86	a	a	DET
fcis-30018	4	87	new	new	ADJ
fcis-30018	4	88	3d	3d	NOUN
fcis-30018	4	89	convolution	convolution	NOUN
fcis-30018	4	90	fusion	fusion	NOUN
fcis-30018	4	91	multi	multi	ADJ
fcis-30018	4	92	-	-	ADJ
fcis-30018	4	93	level	level	ADJ
fcis-30018	4	94	convolution	convolution	NOUN
fcis-30018	4	95	fusion	fusion	NOUN
fcis-30018	4	96	with	with	ADP
fcis-30018	4	97	cost	cost	NOUN
fcis-30018	4	98	filtering	filtering	NOUN
fcis-30018	4	99	cost	cost	NOUN
fcis-30018	4	100	are	be	AUX
fcis-30018	4	101	used	use	VERB
fcis-30018	4	102	.	.	PUNCT
fcis-30018	5	1	at	at	ADP
fcis-30018	5	2	the	the	DET
fcis-30018	5	3	same	same	ADJ
fcis-30018	5	4	time	time	NOUN
fcis-30018	5	5	,	,	PUNCT
fcis-30018	5	6	the	the	DET
fcis-30018	5	7	safm	safm	NOUN
fcis-30018	5	8	module	module	NOUN
fcis-30018	5	9	is	be	AUX
fcis-30018	5	10	used	use	VERB
fcis-30018	5	11	to	to	PART
fcis-30018	5	12	fuse	fuse	VERB
fcis-30018	5	13	the	the	DET
fcis-30018	5	14	multi	multi	ADJ
fcis-30018	5	15	-	-	ADJ
fcis-30018	5	16	level	level	ADJ
fcis-30018	5	17	disparity	disparity	NOUN
fcis-30018	5	18	map	map	NOUN
fcis-30018	5	19	of	of	ADP
fcis-30018	5	20	parallax	parallax	ADJ
fcis-30018	5	21	prediction	prediction	NOUN
fcis-30018	5	22	,	,	PUNCT
fcis-30018	5	23	so	so	SCONJ
fcis-30018	5	24	that	that	SCONJ
fcis-30018	5	25	the	the	DET
fcis-30018	5	26	matching	matching	NOUN
fcis-30018	5	27	accuracy	accuracy	NOUN
fcis-30018	5	28	and	and	CCONJ
fcis-30018	5	29	running	running	NOUN
fcis-30018	5	30	time	time	NOUN
fcis-30018	5	31	of	of	ADP
fcis-30018	5	32	the	the	DET
fcis-30018	5	33	experimental	experimental	ADJ
fcis-30018	5	34	results	result	NOUN
fcis-30018	5	35	of	of	ADP
fcis-30018	5	36	the	the	DET
fcis-30018	5	37	kitti2012	kitti2012	PROPN
fcis-30018	5	38	and	and	CCONJ
fcis-30018	5	39	kitti2015	kitti2015	PROPN
fcis-30018	5	40	datasets	dataset	NOUN
fcis-30018	5	41	can	can	AUX
fcis-30018	5	42	be	be	AUX
fcis-30018	5	43	improved	improve	VERB
fcis-30018	5	44	,	,	PUNCT
fcis-30018	5	45	and	and	CCONJ
fcis-30018	5	46	the	the	DET
fcis-30018	5	47	running	running	ADJ
fcis-30018	5	48	time	time	NOUN
fcis-30018	5	49	is	be	AUX
fcis-30018	5	50	reduced	reduce	VERB
fcis-30018	5	51	,	,	PUNCT
fcis-30018	5	52	which	which	PRON
fcis-30018	5	53	has	have	VERB
fcis-30018	5	54	significant	significant	ADJ
fcis-30018	5	55	judicial	judicial	ADJ
fcis-30018	5	56	application	application	NOUN
fcis-30018	5	57	value	value	NOUN
fcis-30018	5	58	.	.	PUNCT
fcis-30018	6	1	keywords	keyword	NOUN
fcis-30018	6	2	:	:	PUNCT
fcis-30018	6	3	crime	crime	NOUN
fcis-30018	6	4	scenes	scene	NOUN
fcis-30018	6	5	;	;	PUNCT
fcis-30018	6	6	fast	fast	ADJ
fcis-30018	6	7	-	-	PUNCT
fcis-30018	6	8	gwcnet	gwcnet	NOUN
fcis-30018	6	9	3d	3d	NOUN
fcis-30018	6	10	reconstruction	reconstruction	NOUN
fcis-30018	6	11	method	method	NOUN
fcis-30018	6	12	;	;	PUNCT
fcis-30018	6	13	s2a	s2a	VERB
fcis-30018	6	14	attention	attention	NOUN
fcis-30018	6	15	mechanism	mechanism	NOUN
fcis-30018	6	16	;	;	PUNCT
fcis-30018	6	17	mpm	mpm	NOUN
fcis-30018	6	18	module	module	NOUN
fcis-30018	6	19	.	.	PUNCT
fcis-30018	7	1	1	1	X
fcis-30018	7	2	.	.	X
fcis-30018	7	3	introduction	introduction	NOUN
fcis-30018	7	4	with	with	ADP
fcis-30018	7	5	the	the	DET
fcis-30018	7	6	rapid	rapid	ADJ
fcis-30018	7	7	development	development	NOUN
fcis-30018	7	8	of	of	ADP
fcis-30018	7	9	three	three	NUM
fcis-30018	7	10	-	-	PUNCT
fcis-30018	7	11	dimensional	dimensional	ADJ
fcis-30018	7	12	vision	vision	NOUN
fcis-30018	7	13	technology	technology	NOUN
fcis-30018	7	14	and	and	CCONJ
fcis-30018	7	15	deep	deep	ADJ
fcis-30018	7	16	learning	learning	NOUN
fcis-30018	7	17	,	,	PUNCT
fcis-30018	7	18	stereo	stereo	PROPN
fcis-30018	7	19	matching	matching	NOUN
fcis-30018	7	20	,	,	PUNCT
fcis-30018	7	21	as	as	ADP
fcis-30018	7	22	a	a	DET
fcis-30018	7	23	core	core	NOUN
fcis-30018	7	24	component	component	NOUN
fcis-30018	7	25	of	of	ADP
fcis-30018	7	26	3d	3d	PROPN
fcis-30018	7	27	reconstruction	reconstruction	NOUN
fcis-30018	7	28	,	,	PUNCT
fcis-30018	7	29	has	have	AUX
fcis-30018	7	30	demonstrated	demonstrate	VERB
fcis-30018	7	31	significant	significant	ADJ
fcis-30018	7	32	value	value	NOUN
fcis-30018	7	33	in	in	ADP
fcis-30018	7	34	fields	field	NOUN
fcis-30018	7	35	such	such	ADJ
fcis-30018	7	36	as	as	ADP
fcis-30018	7	37	autonomous	autonomous	ADJ
fcis-30018	7	38	driving	driving	NOUN
fcis-30018	7	39	[	[	X
fcis-30018	7	40	1	1	NUM
fcis-30018	7	41	-	-	SYM
fcis-30018	7	42	2	2	NUM
fcis-30018	7	43	]	]	PUNCT
fcis-30018	7	44	,	,	PUNCT
fcis-30018	7	45	virtual	virtual	ADJ
fcis-30018	7	46	reality	reality	NOUN
fcis-30018	8	1	[	[	X
fcis-30018	8	2	3	3	NUM
fcis-30018	8	3	-	-	SYM
fcis-30018	8	4	4	4	NUM
fcis-30018	8	5	]	]	PUNCT
fcis-30018	8	6	,	,	PUNCT
fcis-30018	8	7	intelligent	intelligent	ADJ
fcis-30018	8	8	security[5	security[5	NUM
fcis-30018	8	9	]	]	PUNCT
fcis-30018	8	10	,	,	PUNCT
fcis-30018	8	11	and	and	CCONJ
fcis-30018	8	12	more	more	ADJ
fcis-30018	8	13	.	.	PUNCT
fcis-30018	9	1	especially	especially	ADV
fcis-30018	9	2	in	in	ADP
fcis-30018	9	3	the	the	DET
fcis-30018	9	4	scene	scene	NOUN
fcis-30018	9	5	of	of	ADP
fcis-30018	9	6	judicial	judicial	ADJ
fcis-30018	9	7	evidence	evidence	NOUN
fcis-30018	9	8	collection	collection	NOUN
fcis-30018	9	9	and	and	CCONJ
fcis-30018	9	10	case	case	NOUN
fcis-30018	9	11	scene	scene	NOUN
fcis-30018	9	12	restoration	restoration	NOUN
fcis-30018	9	13	,	,	PUNCT
fcis-30018	9	14	high	high	ADJ
fcis-30018	9	15	-	-	PUNCT
fcis-30018	9	16	precision	precision	NOUN
fcis-30018	9	17	3d	3d	NOUN
fcis-30018	9	18	reconstruction	reconstruction	NOUN
fcis-30018	9	19	technology	technology	NOUN
fcis-30018	9	20	is	be	AUX
fcis-30018	9	21	not	not	PART
fcis-30018	9	22	only	only	ADV
fcis-30018	9	23	a	a	DET
fcis-30018	9	24	key	key	ADJ
fcis-30018	9	25	tool	tool	NOUN
fcis-30018	9	26	to	to	PART
fcis-30018	9	27	restore	restore	VERB
fcis-30018	9	28	the	the	DET
fcis-30018	9	29	truth	truth	NOUN
fcis-30018	9	30	,	,	PUNCT
fcis-30018	9	31	but	but	CCONJ
fcis-30018	9	32	also	also	ADV
fcis-30018	9	33	a	a	DET
fcis-30018	9	34	technical	technical	ADJ
fcis-30018	9	35	guarantee	guarantee	NOUN
fcis-30018	9	36	to	to	PART
fcis-30018	9	37	maintain	maintain	VERB
fcis-30018	9	38	social	social	ADJ
fcis-30018	9	39	fairness	fairness	NOUN
fcis-30018	9	40	and	and	CCONJ
fcis-30018	9	41	justice	justice	NOUN
fcis-30018	9	42	.	.	PUNCT
fcis-30018	10	1	the	the	DET
fcis-30018	10	2	traditional	traditional	ADJ
fcis-30018	10	3	stereo	stereo	NOUN
fcis-30018	10	4	matching	matching	NOUN
fcis-30018	10	5	method	method	NOUN
fcis-30018	10	6	relies	rely	VERB
fcis-30018	10	7	on	on	ADP
fcis-30018	10	8	artificially	artificially	ADV
fcis-30018	10	9	designed	design	VERB
fcis-30018	10	10	features	feature	NOUN
fcis-30018	10	11	(	(	PUNCT
fcis-30018	10	12	such	such	ADJ
fcis-30018	10	13	as	as	ADP
fcis-30018	10	14	sift	sift	ADJ
fcis-30018	10	15	and	and	CCONJ
fcis-30018	10	16	census	census	NOUN
fcis-30018	10	17	transform	transform	NOUN
fcis-30018	10	18	)	)	PUNCT
fcis-30018	10	19	and	and	CCONJ
fcis-30018	10	20	full	full	ADJ
fcis-30018	10	21	semi	semi	ADJ
fcis-30018	10	22	-	-	ADJ
fcis-30018	10	23	global	global	ADJ
fcis-30018	10	24	and	and	CCONJ
fcis-30018	10	25	local	local	ADJ
fcis-30018	10	26	optimization	optimization	NOUN
fcis-30018	10	27	strategies	strategy	NOUN
fcis-30018	10	28	,	,	PUNCT
fcis-30018	10	29	which	which	PRON
fcis-30018	10	30	is	be	AUX
fcis-30018	10	31	easy	easy	ADJ
fcis-30018	10	32	to	to	PART
fcis-30018	10	33	produce	produce	VERB
fcis-30018	10	34	matching	matching	NOUN
fcis-30018	10	35	ambiguity	ambiguity	NOUN
fcis-30018	10	36	under	under	ADP
fcis-30018	10	37	weak	weak	ADJ
fcis-30018	10	38	texture	texture	NOUN
fcis-30018	10	39	,	,	PUNCT
fcis-30018	10	40	occlusion	occlusion	NOUN
fcis-30018	10	41	and	and	CCONJ
fcis-30018	10	42	complex	complex	ADJ
fcis-30018	10	43	lighting	lighting	NOUN
fcis-30018	10	44	conditions	condition	NOUN
fcis-30018	10	45	,	,	PUNCT
fcis-30018	10	46	and	and	CCONJ
fcis-30018	10	47	is	be	AUX
fcis-30018	10	48	difficult	difficult	ADJ
fcis-30018	10	49	to	to	PART
fcis-30018	10	50	meet	meet	VERB
fcis-30018	10	51	the	the	DET
fcis-30018	10	52	needs	need	NOUN
fcis-30018	10	53	of	of	ADP
fcis-30018	10	54	accuracy	accuracy	NOUN
fcis-30018	10	55	and	and	CCONJ
fcis-30018	10	56	robustness	robustness	NOUN
fcis-30018	10	57	in	in	ADP
fcis-30018	10	58	the	the	DET
fcis-30018	10	59	case	case	NOUN
fcis-30018	10	60	scene	scene	NOUN
fcis-30018	10	61	.	.	PUNCT
fcis-30018	11	1	in	in	ADP
fcis-30018	11	2	recent	recent	ADJ
fcis-30018	11	3	years	year	NOUN
fcis-30018	11	4	,	,	PUNCT
fcis-30018	11	5	breakthroughs	breakthrough	NOUN
fcis-30018	11	6	in	in	ADP
fcis-30018	11	7	deep	deep	ADJ
fcis-30018	11	8	learning	learning	NOUN
fcis-30018	11	9	technology	technology	NOUN
fcis-30018	11	10	have	have	AUX
fcis-30018	11	11	brought	bring	VERB
fcis-30018	11	12	innovative	innovative	ADJ
fcis-30018	11	13	methods	method	NOUN
fcis-30018	11	14	to	to	ADP
fcis-30018	11	15	three	three	NUM
fcis-30018	11	16	-	-	PUNCT
fcis-30018	11	17	dimensional	dimensional	ADJ
fcis-30018	11	18	matching	matching	NOUN
fcis-30018	11	19	,	,	PUNCT
fcis-30018	11	20	and	and	CCONJ
fcis-30018	11	21	a	a	DET
fcis-30018	11	22	series	series	NOUN
fcis-30018	11	23	of	of	ADP
fcis-30018	11	24	end	end	NOUN
fcis-30018	11	25	-	-	PUNCT
fcis-30018	11	26	to	to	ADP
fcis-30018	11	27	-	-	PUNCT
fcis-30018	11	28	end	end	NOUN
fcis-30018	11	29	networks	network	NOUN
fcis-30018	11	30	have	have	AUX
fcis-30018	11	31	significantly	significantly	ADV
fcis-30018	11	32	improved	improve	VERB
fcis-30018	11	33	the	the	DET
fcis-30018	11	34	matching	matching	NOUN
fcis-30018	11	35	accuracy	accuracy	NOUN
fcis-30018	11	36	and	and	CCONJ
fcis-30018	11	37	efficiency	efficiency	NOUN
fcis-30018	11	38	in	in	ADP
fcis-30018	11	39	complex	complex	ADJ
fcis-30018	11	40	scenarios	scenario	NOUN
fcis-30018	11	41	through	through	ADP
fcis-30018	11	42	multi	multi	ADJ
fcis-30018	11	43	-	-	ADJ
fcis-30018	11	44	level	level	ADJ
fcis-30018	11	45	feature	feature	NOUN
fcis-30018	11	46	learning	learning	NOUN
fcis-30018	11	47	and	and	CCONJ
fcis-30018	11	48	cost	cost	VERB
fcis-30018	11	49	optimization	optimization	NOUN
fcis-30018	11	50	.	.	PUNCT
fcis-30018	12	1	early	early	ADJ
fcis-30018	12	2	stereo	stereo	ADJ
fcis-30018	12	3	matching	matching	NOUN
fcis-30018	12	4	methods	method	NOUN
fcis-30018	12	5	based	base	VERB
fcis-30018	12	6	on	on	ADP
fcis-30018	12	7	deep	deep	ADJ
fcis-30018	12	8	learning	learning	NOUN
fcis-30018	12	9	(	(	PUNCT
fcis-30018	12	10	such	such	ADJ
fcis-30018	12	11	as	as	ADP
fcis-30018	12	12	dispnet[6	dispnet[6	NOUN
fcis-30018	12	13	]	]	PUNCT
fcis-30018	12	14	)	)	PUNCT
fcis-30018	12	15	created	create	VERB
fcis-30018	12	16	a	a	DET
fcis-30018	12	17	precedent	precedent	NOUN
fcis-30018	12	18	for	for	ADP
fcis-30018	12	19	end	end	NOUN
fcis-30018	12	20	-	-	PUNCT
fcis-30018	12	21	to	to	ADP
fcis-30018	12	22	-	-	PUNCT
fcis-30018	12	23	end	end	NOUN
fcis-30018	12	24	parallax	parallax	NOUN
fcis-30018	12	25	prediction	prediction	NOUN
fcis-30018	12	26	,	,	PUNCT
fcis-30018	12	27	in	in	ADP
fcis-30018	12	28	which	which	PRON
fcis-30018	12	29	the	the	DET
fcis-30018	12	30	encoder	encoder	NOUN
fcis-30018	12	31	-	-	PUNCT
fcis-30018	12	32	decoder	decoder	NOUN
fcis-30018	12	33	architecture	architecture	NOUN
fcis-30018	12	34	directly	directly	ADV
fcis-30018	12	35	regressed	regress	VERB
fcis-30018	12	36	the	the	DET
fcis-30018	12	37	parallax	parallax	NOUN
fcis-30018	12	38	map	map	NOUN
fcis-30018	12	39	through	through	ADP
fcis-30018	12	40	multi	multi	ADJ
fcis-30018	12	41	-	-	ADJ
fcis-30018	12	42	scale	scale	ADJ
fcis-30018	12	43	feature	feature	NOUN
fcis-30018	12	44	fusion	fusion	NOUN
fcis-30018	12	45	,	,	PUNCT
fcis-30018	12	46	avoiding	avoid	VERB
fcis-30018	12	47	the	the	DET
fcis-30018	12	48	complex	complex	ADJ
fcis-30018	12	49	postprocessing	postprocessing	NOUN
fcis-30018	12	50	process	process	NOUN
fcis-30018	12	51	of	of	ADP
fcis-30018	12	52	traditional	traditional	ADJ
fcis-30018	12	53	methods	method	NOUN
fcis-30018	12	54	,	,	PUNCT
fcis-30018	12	55	and	and	CCONJ
fcis-30018	12	56	making	make	VERB
fcis-30018	12	57	a	a	DET
fcis-30018	12	58	breakthrough	breakthrough	NOUN
fcis-30018	12	59	in	in	ADP
fcis-30018	12	60	real	real	ADJ
fcis-30018	12	61	-	-	PUNCT
fcis-30018	12	62	time	time	NOUN
fcis-30018	12	63	.	.	PUNCT
fcis-30018	13	1	however	however	ADV
fcis-30018	13	2	,	,	PUNCT
fcis-30018	13	3	due	due	ADP
fcis-30018	13	4	to	to	ADP
fcis-30018	13	5	the	the	DET
fcis-30018	13	6	lack	lack	NOUN
fcis-30018	13	7	of	of	ADP
fcis-30018	13	8	cost	cost	NOUN
fcis-30018	13	9	volume	volume	NOUN
fcis-30018	13	10	modeling	modeling	NOUN
fcis-30018	13	11	,	,	PUNCT
fcis-30018	13	12	such	such	ADJ
fcis-30018	13	13	methods	method	NOUN
fcis-30018	13	14	are	be	AUX
fcis-30018	13	15	difficult	difficult	ADJ
fcis-30018	13	16	to	to	PART
fcis-30018	13	17	meet	meet	VERB
fcis-30018	13	18	the	the	DET
fcis-30018	13	19	challenges	challenge	NOUN
fcis-30018	13	20	of	of	ADP
fcis-30018	13	21	occlusion	occlusion	NOUN
fcis-30018	13	22	and	and	CCONJ
fcis-30018	13	23	repetitive	repetitive	ADJ
fcis-30018	13	24	textures	texture	NOUN
fcis-30018	13	25	.	.	PUNCT
fcis-30018	14	1	to	to	ADP
fcis-30018	14	2	this	this	DET
fcis-30018	14	3	end	end	NOUN
fcis-30018	14	4	,	,	PUNCT
fcis-30018	14	5	gcnet[7	gcnet[7	PRON
fcis-30018	14	6	]	]	PUNCT
fcis-30018	14	7	introduces	introduce	VERB
fcis-30018	14	8	4d	4d	NUM
fcis-30018	14	9	cost	cost	NOUN
fcis-30018	14	10	volume	volume	NOUN
fcis-30018	14	11	(	(	PUNCT
fcis-30018	14	12	spatial	spatial	ADJ
fcis-30018	14	13	×	×	NOUN
fcis-30018	14	14	parallax	parallax	NOUN
fcis-30018	14	15	dimension	dimension	NOUN
fcis-30018	14	16	)	)	PUNCT
fcis-30018	14	17	and	and	CCONJ
fcis-30018	14	18	3d	3d	NUM
fcis-30018	14	19	convolution	convolution	NOUN
fcis-30018	14	20	aggregation	aggregation	NOUN
fcis-30018	14	21	strategy	strategy	NOUN
fcis-30018	14	22	for	for	ADP
fcis-30018	14	23	the	the	DET
fcis-30018	14	24	first	first	ADJ
fcis-30018	14	25	time	time	NOUN
fcis-30018	14	26	to	to	PART
fcis-30018	14	27	capture	capture	VERB
fcis-30018	14	28	more	more	ADV
fcis-30018	14	29	comprehensive	comprehensive	ADJ
fcis-30018	14	30	information	information	NOUN
fcis-30018	14	31	in	in	ADP
fcis-30018	14	32	spatial	spatial	ADJ
fcis-30018	14	33	and	and	CCONJ
fcis-30018	14	34	parallax	parallax	ADJ
fcis-30018	14	35	dimensions	dimension	NOUN
fcis-30018	14	36	,	,	PUNCT
fcis-30018	14	37	combines	combine	VERB
fcis-30018	14	38	geometric	geometric	ADJ
fcis-30018	14	39	constraints	constraint	NOUN
fcis-30018	14	40	with	with	ADP
fcis-30018	14	41	semantic	semantic	ADJ
fcis-30018	14	42	contexts	contexts	NOUN
fcis-30018	14	43	,	,	PUNCT
fcis-30018	14	44	and	and	CCONJ
fcis-30018	14	45	improves	improve	VERB
fcis-30018	14	46	the	the	DET
fcis-30018	14	47	understanding	understanding	NOUN
fcis-30018	14	48	and	and	CCONJ
fcis-30018	14	49	matching	matching	NOUN
fcis-30018	14	50	ability	ability	NOUN
fcis-30018	14	51	of	of	ADP
fcis-30018	14	52	many	many	ADJ
fcis-30018	14	53	complex	complex	ADJ
fcis-30018	14	54	scenes	scene	NOUN
fcis-30018	14	55	and	and	CCONJ
fcis-30018	14	56	geometric	geometric	ADJ
fcis-30018	14	57	structures	structure	NOUN
fcis-30018	14	58	.	.	PUNCT
fcis-30018	15	1	after	after	ADP
fcis-30018	15	2	that	that	PRON
fcis-30018	15	3	,	,	PUNCT
fcis-30018	15	4	psmnet[8	psmnet[8	ADP
fcis-30018	15	5	]	]	PUNCT
fcis-30018	15	6	fuses	fuse	NOUN
fcis-30018	15	7	multiscale	multiscale	ADJ
fcis-30018	15	8	global	global	ADJ
fcis-30018	15	9	features	feature	NOUN
fcis-30018	15	10	through	through	ADP
fcis-30018	15	11	the	the	DET
fcis-30018	15	12	spatial	spatial	ADJ
fcis-30018	15	13	pyramid	pyramid	NOUN
fcis-30018	15	14	pooling	pool	VERB
fcis-30018	15	15	(	(	PUNCT
fcis-30018	15	16	spp	spp	NOUN
fcis-30018	15	17	)	)	PUNCT
fcis-30018	15	18	module	module	NOUN
fcis-30018	15	19	to	to	PART
fcis-30018	15	20	reduce	reduce	VERB
fcis-30018	15	21	the	the	DET
fcis-30018	15	22	matching	matching	NOUN
fcis-30018	15	23	error	error	NOUN
fcis-30018	15	24	problem	problem	NOUN
fcis-30018	15	25	of	of	ADP
fcis-30018	15	26	regions	region	NOUN
fcis-30018	15	27	with	with	ADP
fcis-30018	15	28	more	more	ADJ
fcis-30018	15	29	or	or	CCONJ
fcis-30018	15	30	fewer	few	ADJ
fcis-30018	15	31	textures	texture	NOUN
fcis-30018	15	32	.	.	PUNCT
fcis-30018	16	1	gwcnet[9	gwcnet[9	VERB
fcis-30018	16	2	]	]	PUNCT
fcis-30018	16	3	further	far	ADV
fcis-30018	16	4	proposes	propose	VERB
fcis-30018	16	5	a	a	DET
fcis-30018	16	6	group	group	NOUN
fcis-30018	16	7	-	-	PUNCT
fcis-30018	16	8	related	relate	VERB
fcis-30018	16	9	strategy	strategy	NOUN
fcis-30018	16	10	to	to	PART
fcis-30018	16	11	enhance	enhance	VERB
fcis-30018	16	12	feature	feature	NOUN
fcis-30018	16	13	diversity	diversity	NOUN
fcis-30018	16	14	with	with	ADP
fcis-30018	16	15	multiple	multiple	ADJ
fcis-30018	16	16	sets	set	NOUN
fcis-30018	16	17	of	of	ADP
fcis-30018	16	18	parallel	parallel	ADJ
fcis-30018	16	19	cost	cost	NOUN
fcis-30018	16	20	volumes	volume	NOUN
fcis-30018	16	21	,	,	PUNCT
fcis-30018	16	22	and	and	CCONJ
fcis-30018	16	23	achieve	achieve	VERB
fcis-30018	16	24	a	a	DET
fcis-30018	16	25	balance	balance	NOUN
fcis-30018	16	26	between	between	ADP
fcis-30018	16	27	accuracy	accuracy	NOUN
fcis-30018	16	28	and	and	CCONJ
fcis-30018	16	29	efficiency	efficiency	NOUN
fcis-30018	16	30	.	.	PUNCT
fcis-30018	17	1	at	at	ADP
fcis-30018	17	2	the	the	DET
fcis-30018	17	3	same	same	ADJ
fcis-30018	17	4	time	time	NOUN
fcis-30018	17	5	,	,	PUNCT
fcis-30018	17	6	lightweight	lightweight	ADJ
fcis-30018	17	7	design	design	NOUN
fcis-30018	17	8	has	have	AUX
fcis-30018	17	9	become	become	VERB
fcis-30018	17	10	an	an	DET
fcis-30018	17	11	important	important	ADJ
fcis-30018	17	12	research	research	NOUN
fcis-30018	17	13	direction	direction	NOUN
fcis-30018	17	14	,	,	PUNCT
fcis-30018	17	15	and	and	CCONJ
fcis-30018	17	16	stereonet[10	stereonet[10	CCONJ
fcis-30018	17	17	]	]	PUNCT
fcis-30018	17	18	realizes	realize	VERB
fcis-30018	17	19	real	real	ADJ
fcis-30018	17	20	-	-	PUNCT
fcis-30018	17	21	time	time	NOUN
fcis-30018	17	22	high	high	ADJ
fcis-30018	17	23	-	-	PUNCT
fcis-30018	17	24	precision	precision	NOUN
fcis-30018	17	25	reconstruction	reconstruction	NOUN
fcis-30018	17	26	on	on	ADP
fcis-30018	17	27	the	the	DET
fcis-30018	17	28	mobile	mobile	ADJ
fcis-30018	17	29	terminal	terminal	NOUN
fcis-30018	17	30	through	through	ADP
fcis-30018	17	31	low	low	ADJ
fcis-30018	17	32	-	-	PUNCT
fcis-30018	17	33	resolution	resolution	NOUN
fcis-30018	17	34	cost	cost	NOUN
fcis-30018	17	35	matching	matching	NOUN
fcis-30018	17	36	and	and	CCONJ
fcis-30018	17	37	edge	edge	NOUN
fcis-30018	17	38	-	-	PUNCT
fcis-30018	17	39	aware	aware	ADJ
fcis-30018	17	40	upsampling	upsampling	NOUN
fcis-30018	17	41	.	.	PUNCT
fcis-30018	18	1	ganet[11	ganet[11	PROPN
fcis-30018	18	2	]	]	PUNCT
fcis-30018	18	3	innovatively	innovatively	ADV
fcis-30018	18	4	designs	design	VERB
fcis-30018	18	5	the	the	DET
fcis-30018	18	6	guided	guide	VERB
fcis-30018	18	7	aggregation	aggregation	NOUN
fcis-30018	18	8	layer	layer	NOUN
fcis-30018	18	9	(	(	PUNCT
fcis-30018	18	10	lga	lga	ADJ
fcis-30018	18	11	/	/	SYM
fcis-30018	18	12	rga	rga	NOUN
fcis-30018	18	13	)	)	PUNCT
fcis-30018	18	14	and	and	CCONJ
fcis-30018	18	15	explicitly	explicitly	ADV
fcis-30018	18	16	models	model	VERB
fcis-30018	18	17	the	the	DET
fcis-30018	18	18	geometry	geometry	NOUN
fcis-30018	18	19	a	a	PRON
fcis-30018	18	20	priori	priori	ADV
fcis-30018	18	21	to	to	PART
fcis-30018	18	22	sharpen	sharpen	VERB
fcis-30018	18	23	the	the	DET
fcis-30018	18	24	parallax	parallax	NOUN
fcis-30018	18	25	edges	edge	NOUN
fcis-30018	18	26	,	,	PUNCT
fcis-30018	18	27	providing	provide	VERB
fcis-30018	18	28	a	a	DET
fcis-30018	18	29	new	new	ADJ
fcis-30018	18	30	idea	idea	NOUN
fcis-30018	18	31	for	for	ADP
fcis-30018	18	32	complex	complex	ADJ
fcis-30018	18	33	texture	texture	ADJ
fcis-30018	18	34	scenes	scene	NOUN
fcis-30018	18	35	.	.	PUNCT
fcis-30018	19	1	despite	despite	SCONJ
fcis-30018	19	2	significant	significant	ADJ
fcis-30018	19	3	progress	progress	NOUN
fcis-30018	19	4	made	make	VERB
fcis-30018	19	5	by	by	ADP
fcis-30018	19	6	existing	exist	VERB
fcis-30018	19	7	methods	method	NOUN
fcis-30018	19	8	,	,	PUNCT
fcis-30018	19	9	high	high	ADJ
fcis-30018	19	10	-	-	PUNCT
fcis-30018	19	11	precision	precision	NOUN
fcis-30018	19	12	reconstruction	reconstruction	NOUN
fcis-30018	19	13	of	of	ADP
fcis-30018	19	14	crime	crime	NOUN
fcis-30018	19	15	scenes	scene	NOUN
fcis-30018	19	16	still	still	ADV
fcis-30018	19	17	faces	face	VERB
fcis-30018	19	18	multiple	multiple	ADJ
fcis-30018	19	19	challenges	challenge	NOUN
fcis-30018	19	20	.	.	PUNCT
fcis-30018	20	1	firstly	firstly	ADV
fcis-30018	20	2	,	,	PUNCT
fcis-30018	20	3	the	the	DET
fcis-30018	20	4	scene	scene	NOUN
fcis-30018	20	5	environment	environment	NOUN
fcis-30018	20	6	often	often	ADV
fcis-30018	20	7	suffers	suffer	VERB
fcis-30018	20	8	from	from	ADP
fcis-30018	20	9	interference	interference	NOUN
fcis-30018	20	10	such	such	ADJ
fcis-30018	20	11	as	as	ADP
fcis-30018	20	12	motion	motion	NOUN
fcis-30018	20	13	blur	blur	NOUN
fcis-30018	20	14	and	and	CCONJ
fcis-30018	20	15	nonlambertian	nonlambertian	ADJ
fcis-30018	20	16	reflections	reflection	NOUN
fcis-30018	20	17	(	(	PUNCT
fcis-30018	20	18	e.g.	e.g.	ADV
fcis-30018	20	19	,	,	PUNCT
fcis-30018	20	20	bloodstains	bloodstain	NOUN
fcis-30018	20	21	,	,	PUNCT
fcis-30018	20	22	glass	glass	NOUN
fcis-30018	20	23	)	)	PUNCT
fcis-30018	20	24	,	,	PUNCT
fcis-30018	20	25	which	which	PRON
fcis-30018	20	26	reduces	reduce	VERB
fcis-30018	20	27	the	the	DET
fcis-30018	20	28	reliability	reliability	NOUN
fcis-30018	20	29	of	of	ADP
fcis-30018	20	30	feature	feature	NOUN
fcis-30018	20	31	matching	matching	NOUN
fcis-30018	20	32	.	.	PUNCT
fcis-30018	21	1	secondly	secondly	ADV
fcis-30018	21	2	,	,	PUNCT
fcis-30018	21	3	current	current	ADJ
fcis-30018	21	4	algorithms	algorithm	NOUN
fcis-30018	21	5	'	'	PART
fcis-30018	21	6	utilization	utilization	NOUN
fcis-30018	21	7	of	of	ADP
fcis-30018	21	8	multi	multi	ADJ
fcis-30018	21	9	-	-	ADJ
fcis-30018	21	10	scale	scale	ADJ
fcis-30018	21	11	features	feature	NOUN
fcis-30018	21	12	mostly	mostly	ADV
fcis-30018	21	13	relies	rely	VERB
fcis-30018	21	14	on	on	ADP
fcis-30018	21	15	fixed	fix	VERB
fcis-30018	21	16	-	-	PUNCT
fcis-30018	21	17	weight	weight	NOUN
fcis-30018	21	18	fusion	fusion	NOUN
fcis-30018	21	19	,	,	PUNCT
fcis-30018	21	20	making	make	VERB
fcis-30018	21	21	it	it	PRON
fcis-30018	21	22	difficult	difficult	ADJ
fcis-30018	21	23	to	to	PART
fcis-30018	21	24	adaptively	adaptively	ADV
fcis-30018	21	25	distinguish	distinguish	VERB
fcis-30018	21	26	between	between	ADP
fcis-30018	21	27	critical	critical	ADJ
fcis-30018	21	28	areas	area	NOUN
fcis-30018	21	29	(	(	PUNCT
fcis-30018	21	30	such	such	ADJ
fcis-30018	21	31	as	as	ADP
fcis-30018	21	32	fingerprints	fingerprint	NOUN
fcis-30018	21	33	,	,	PUNCT
fcis-30018	21	34	footprints	footprint	NOUN
fcis-30018	21	35	)	)	PUNCT
fcis-30018	21	36	and	and	CCONJ
fcis-30018	21	37	background	background	NOUN
fcis-30018	21	38	redundant	redundant	ADJ
fcis-30018	21	39	information	information	NOUN
fcis-30018	21	40	.	.	PUNCT
fcis-30018	22	1	in	in	ADP
fcis-30018	22	2	response	response	NOUN
fcis-30018	22	3	to	to	ADP
fcis-30018	22	4	the	the	DET
fcis-30018	22	5	aforementioned	aforementioned	ADJ
fcis-30018	22	6	issues	issue	NOUN
fcis-30018	22	7	,	,	PUNCT
fcis-30018	22	8	this	this	DET
fcis-30018	22	9	paper	paper	NOUN
fcis-30018	22	10	proposes	propose	VERB
fcis-30018	22	11	a	a	DET
fcis-30018	22	12	3d	3d	NUM
fcis-30018	22	13	reconstruction	reconstruction	NOUN
fcis-30018	22	14	method	method	NOUN
fcis-30018	22	15	tailored	tailor	VERB
fcis-30018	22	16	for	for	ADP
fcis-30018	22	17	crime	crime	NOUN
fcis-30018	22	18	scenes	scene	NOUN
fcis-30018	22	19	,	,	PUNCT
fcis-30018	22	20	with	with	ADP
fcis-30018	22	21	the	the	DET
fcis-30018	22	22	following	follow	VERB
fcis-30018	22	23	core	core	NOUN
fcis-30018	22	24	contributions	contribution	NOUN
fcis-30018	22	25	:	:	PUNCT
fcis-30018	22	26	1.multi	1.multi	NUM
fcis-30018	22	27	-	-	PUNCT
fcis-30018	22	28	scale	scale	NOUN
fcis-30018	22	29	feature	feature	NOUN
fcis-30018	22	30	enhancement	enhancement	NOUN
fcis-30018	22	31	module	module	NOUN
fcis-30018	22	32	:	:	PUNCT
fcis-30018	22	33	by	by	ADP
fcis-30018	22	34	incorporating	incorporate	VERB
fcis-30018	22	35	the	the	DET
fcis-30018	22	36	s2attention	s2attention	NOUN
fcis-30018	22	37	mechanism	mechanism	NOUN
fcis-30018	22	38	and	and	CCONJ
fcis-30018	22	39	dynamic	dynamic	ADJ
fcis-30018	22	40	weight	weight	NOUN
fcis-30018	22	41	allocation	allocation	NOUN
fcis-30018	22	42	,	,	PUNCT
fcis-30018	22	43	this	this	DET
fcis-30018	22	44	module	module	NOUN
fcis-30018	22	45	dynamically	dynamically	ADV
fcis-30018	22	46	enhances	enhance	VERB
fcis-30018	22	47	feature	feature	NOUN
fcis-30018	22	48	representation	representation	NOUN
fcis-30018	22	49	and	and	CCONJ
fcis-30018	22	50	matching	match	VERB
fcis-30018	22	51	saliency	saliency	NOUN
fcis-30018	22	52	in	in	ADP
fcis-30018	22	53	critical	critical	ADJ
fcis-30018	22	54	regions	region	NOUN
fcis-30018	22	55	(	(	PUNCT
fcis-30018	22	56	such	such	ADJ
fcis-30018	22	57	as	as	ADP
fcis-30018	22	58	fingerprints	fingerprint	NOUN
fcis-30018	22	59	,	,	PUNCT
fcis-30018	22	60	tool	tool	NOUN
fcis-30018	22	61	marks	mark	NOUN
fcis-30018	22	62	)	)	PUNCT
fcis-30018	22	63	through	through	ADP
fcis-30018	22	64	a	a	DET
fcis-30018	22	65	dual	dual	ADJ
fcis-30018	22	66	-	-	PUNCT
fcis-30018	22	67	pathway	pathway	NOUN
fcis-30018	22	68	of	of	ADP
fcis-30018	22	69	spatialsemantic	spatialsemantic	ADJ
fcis-30018	22	70	enhancement	enhancement	NOUN
fcis-30018	22	71	at	at	ADP
fcis-30018	22	72	multiple	multiple	ADJ
fcis-30018	22	73	scales	scale	NOUN
fcis-30018	22	74	,	,	PUNCT
fcis-30018	22	75	while	while	SCONJ
fcis-30018	22	76	suppressing	suppress	VERB
fcis-30018	22	77	background	background	NOUN
fcis-30018	22	78	interference	interference	NOUN
fcis-30018	22	79	.	.	PUNCT
fcis-30018	23	1	2.multi	2.multi	NUM
fcis-30018	23	2	-	-	PUNCT
fcis-30018	23	3	level	level	NOUN
fcis-30018	23	4	cost	cost	NOUN
fcis-30018	23	5	optimization	optimization	NOUN
fcis-30018	23	6	architecture	architecture	NOUN
fcis-30018	23	7	network	network	NOUN
fcis-30018	23	8	:	:	PUNCT
fcis-30018	23	9	this	this	DET
fcis-30018	23	10	network	network	NOUN
fcis-30018	23	11	employs	employ	VERB
fcis-30018	23	12	a	a	DET
fcis-30018	23	13	multi	multi	ADJ
fcis-30018	23	14	-	-	ADJ
fcis-30018	23	15	level	level	ADJ
fcis-30018	23	16	adaptive	adaptive	ADJ
fcis-30018	23	17	feature	feature	NOUN
fcis-30018	23	18	matching	matching	NOUN
fcis-30018	23	19	(	(	PUNCT
fcis-30018	23	20	mapm	mapm	NOUN
fcis-30018	23	21	)	)	PUNCT
fcis-30018	23	22	module	module	NOUN
fcis-30018	23	23	to	to	PART
fcis-30018	23	24	replace	replace	VERB
fcis-30018	23	25	traditional	traditional	ADJ
fcis-30018	23	26	3d	3d	NUM
fcis-30018	23	27	49	49	NUM
fcis-30018	23	28	convolutions	convolution	NOUN
fcis-30018	23	29	,	,	PUNCT
fcis-30018	23	30	combined	combine	VERB
fcis-30018	23	31	with	with	ADP
fcis-30018	23	32	a	a	DET
fcis-30018	23	33	multi	multi	ADJ
fcis-30018	23	34	-	-	ADJ
fcis-30018	23	35	scale	scale	ADJ
fcis-30018	23	36	cost	cost	NOUN
fcis-30018	23	37	filtering	filter	VERB
fcis-30018	23	38	convolutional	convolutional	ADJ
fcis-30018	23	39	fusion	fusion	NOUN
fcis-30018	23	40	structure	structure	NOUN
fcis-30018	23	41	,	,	PUNCT
fcis-30018	23	42	to	to	PART
fcis-30018	23	43	achieve	achieve	VERB
fcis-30018	23	44	redundant	redundant	ADJ
fcis-30018	23	45	information	information	NOUN
fcis-30018	23	46	compression	compression	NOUN
fcis-30018	23	47	,	,	PUNCT
fcis-30018	23	48	enhanced	enhanced	ADJ
fcis-30018	23	49	matching	matching	NOUN
fcis-30018	23	50	costs	cost	NOUN
fcis-30018	23	51	,	,	PUNCT
fcis-30018	23	52	and	and	CCONJ
fcis-30018	23	53	mitigation	mitigation	NOUN
fcis-30018	23	54	of	of	ADP
fcis-30018	23	55	the	the	DET
fcis-30018	23	56	negative	negative	ADJ
fcis-30018	23	57	impact	impact	NOUN
fcis-30018	23	58	of	of	ADP
fcis-30018	23	59	motion	motion	NOUN
fcis-30018	23	60	blur	blur	NOUN
fcis-30018	23	61	,	,	PUNCT
fcis-30018	23	62	while	while	SCONJ
fcis-30018	23	63	reducing	reduce	VERB
fcis-30018	23	64	the	the	DET
fcis-30018	23	65	number	number	NOUN
fcis-30018	23	66	of	of	ADP
fcis-30018	23	67	parameters	parameter	NOUN
fcis-30018	23	68	.	.	PUNCT
fcis-30018	24	1	3.edge	3.edge	NUM
fcis-30018	24	2	consistency	consistency	NOUN
fcis-30018	24	3	fusion	fusion	NOUN
fcis-30018	24	4	strategy	strategy	NOUN
fcis-30018	24	5	:	:	PUNCT
fcis-30018	24	6	by	by	ADP
fcis-30018	24	7	introducing	introduce	VERB
fcis-30018	24	8	a	a	DET
fcis-30018	24	9	spatial	spatial	ADJ
fcis-30018	24	10	adaptive	adaptive	ADJ
fcis-30018	24	11	feature	feature	NOUN
fcis-30018	24	12	fusion	fusion	NOUN
fcis-30018	24	13	(	(	PUNCT
fcis-30018	24	14	safm	safm	NOUN
fcis-30018	24	15	)	)	PUNCT
fcis-30018	24	16	module	module	NOUN
fcis-30018	24	17	,	,	PUNCT
fcis-30018	24	18	this	this	DET
fcis-30018	24	19	strategy	strategy	NOUN
fcis-30018	24	20	guides	guide	VERB
fcis-30018	24	21	the	the	DET
fcis-30018	24	22	fusion	fusion	NOUN
fcis-30018	24	23	of	of	ADP
fcis-30018	24	24	multi	multi	ADJ
fcis-30018	24	25	-	-	ADJ
fcis-30018	24	26	level	level	ADJ
fcis-30018	24	27	disparity	disparity	NOUN
fcis-30018	24	28	predictions	prediction	NOUN
fcis-30018	24	29	with	with	ADP
fcis-30018	24	30	edge	edge	NOUN
fcis-30018	24	31	information	information	NOUN
fcis-30018	24	32	,	,	PUNCT
fcis-30018	24	33	jointly	jointly	ADV
fcis-30018	24	34	optimizing	optimize	VERB
fcis-30018	24	35	the	the	DET
fcis-30018	24	36	geometric	geometric	ADJ
fcis-30018	24	37	consistency	consistency	NOUN
fcis-30018	24	38	of	of	ADP
fcis-30018	24	39	disparity	disparity	NOUN
fcis-30018	24	40	edges	edge	NOUN
fcis-30018	24	41	,	,	PUNCT
fcis-30018	24	42	and	and	CCONJ
fcis-30018	24	43	enhancing	enhance	VERB
fcis-30018	24	44	the	the	DET
fcis-30018	24	45	detail	detail	NOUN
fcis-30018	24	46	reconstruction	reconstruction	NOUN
fcis-30018	24	47	capability	capability	NOUN
fcis-30018	24	48	for	for	ADP
fcis-30018	24	49	trace	trace	NOUN
fcis-30018	24	50	evidence	evidence	NOUN
fcis-30018	24	51	.	.	PUNCT
fcis-30018	25	1	the	the	DET
fcis-30018	25	2	method	method	NOUN
fcis-30018	25	3	proposed	propose	VERB
fcis-30018	25	4	in	in	ADP
fcis-30018	25	5	this	this	DET
fcis-30018	25	6	paper	paper	NOUN
fcis-30018	25	7	has	have	AUX
fcis-30018	25	8	demonstrated	demonstrate	VERB
fcis-30018	25	9	its	its	PRON
fcis-30018	25	10	superiority	superiority	NOUN
fcis-30018	25	11	on	on	ADP
fcis-30018	25	12	public	public	ADJ
fcis-30018	25	13	datasets	dataset	NOUN
fcis-30018	25	14	(	(	PUNCT
fcis-30018	25	15	kitti	kitti	PROPN
fcis-30018	25	16	2012	2012	NUM
fcis-30018	25	17	,	,	PUNCT
fcis-30018	25	18	kitti	kitti	PROPN
fcis-30018	25	19	2015	2015	NUM
fcis-30018	25	20	,	,	PUNCT
fcis-30018	25	21	sceneflow	sceneflow	ADJ
fcis-30018	25	22	)	)	PUNCT
fcis-30018	25	23	and	and	CCONJ
fcis-30018	25	24	real	real	ADJ
fcis-30018	25	25	crime	crime	NOUN
fcis-30018	25	26	scene	scene	NOUN
fcis-30018	25	27	datasets	dataset	NOUN
fcis-30018	25	28	,	,	PUNCT
fcis-30018	25	29	providing	provide	VERB
fcis-30018	25	30	reliable	reliable	ADJ
fcis-30018	25	31	3d	3d	NUM
fcis-30018	25	32	reconstruction	reconstruction	NOUN
fcis-30018	25	33	technology	technology	NOUN
fcis-30018	25	34	support	support	NOUN
fcis-30018	25	35	for	for	ADP
fcis-30018	25	36	forensic	forensic	ADJ
fcis-30018	25	37	evidence	evidence	NOUN
fcis-30018	25	38	collection	collection	NOUN
fcis-30018	25	39	compared	compare	VERB
fcis-30018	25	40	to	to	ADP
fcis-30018	25	41	mainstream	mainstream	ADJ
fcis-30018	25	42	algorithms	algorithm	NOUN
fcis-30018	25	43	(	(	PUNCT
fcis-30018	25	44	such	such	ADJ
fcis-30018	25	45	as	as	ADP
fcis-30018	25	46	gwcnet	gwcnet	NOUN
fcis-30018	25	47	,	,	PUNCT
fcis-30018	25	48	ganet	ganet	NOUN
fcis-30018	25	49	)	)	PUNCT
fcis-30018	25	50	.	.	PUNCT
fcis-30018	26	1	2	2	X
fcis-30018	26	2	.	.	X
fcis-30018	26	3	introduction	introduction	NOUN
fcis-30018	26	4	to	to	ADP
fcis-30018	26	5	the	the	DET
fcis-30018	26	6	gwcnet	gwcnet	NOUN
fcis-30018	26	7	algorithm	algorithm	NOUN
fcis-30018	26	8	the	the	DET
fcis-30018	26	9	gwcnet	gwcnet	PROPN
fcis-30018	26	10	stereo	stereo	PROPN
fcis-30018	26	11	matching	matching	NOUN
fcis-30018	26	12	algorithm	algorithm	NOUN
fcis-30018	26	13	process	process	NOUN
fcis-30018	26	14	includes	include	VERB
fcis-30018	26	15	feature	feature	NOUN
fcis-30018	26	16	extraction	extraction	NOUN
fcis-30018	26	17	,	,	PUNCT
fcis-30018	26	18	construction	construction	NOUN
fcis-30018	26	19	of	of	ADP
fcis-30018	26	20	group	group	NOUN
fcis-30018	26	21	-	-	PUNCT
fcis-30018	26	22	wise	wise	ADJ
fcis-30018	26	23	correlation	correlation	NOUN
fcis-30018	26	24	volumes	volume	NOUN
fcis-30018	26	25	and	and	CCONJ
fcis-30018	26	26	concatenation	concatenation	PROPN
fcis-30018	26	27	,	,	PUNCT
fcis-30018	26	28	3d	3d	NUM
fcis-30018	26	29	aggregation	aggregation	NOUN
fcis-30018	26	30	,	,	PUNCT
fcis-30018	26	31	disparity	disparity	NOUN
fcis-30018	26	32	regression	regression	NOUN
fcis-30018	26	33	,	,	PUNCT
fcis-30018	26	34	and	and	CCONJ
fcis-30018	26	35	optimization	optimization	NOUN
fcis-30018	26	36	.	.	PUNCT
fcis-30018	27	1	to	to	PART
fcis-30018	27	2	improve	improve	VERB
fcis-30018	27	3	the	the	DET
fcis-30018	27	4	accuracy	accuracy	NOUN
fcis-30018	27	5	of	of	ADP
fcis-30018	27	6	stereo	stereo	NOUN
fcis-30018	27	7	matching	matching	NOUN
fcis-30018	27	8	,	,	PUNCT
fcis-30018	27	9	learn	learn	VERB
fcis-30018	27	10	correlation	correlation	NOUN
fcis-30018	27	11	measurements	measurement	NOUN
fcis-30018	27	12	,	,	PUNCT
fcis-30018	27	13	and	and	CCONJ
fcis-30018	27	14	reduce	reduce	VERB
fcis-30018	27	15	runtime	runtime	NOUN
fcis-30018	27	16	,	,	PUNCT
fcis-30018	27	17	the	the	DET
fcis-30018	27	18	model	model	NOUN
fcis-30018	27	19	employs	employ	VERB
fcis-30018	27	20	group	group	NOUN
fcis-30018	27	21	-	-	PUNCT
fcis-30018	27	22	wise	wise	ADJ
fcis-30018	27	23	correlation	correlation	NOUN
fcis-30018	27	24	volumes	volume	NOUN
fcis-30018	27	25	for	for	ADP
fcis-30018	27	26	cost	cost	NOUN
fcis-30018	27	27	aggregation	aggregation	NOUN
fcis-30018	27	28	,	,	PUNCT
fcis-30018	27	29	which	which	PRON
fcis-30018	27	30	reduces	reduce	VERB
fcis-30018	27	31	parameters	parameter	NOUN
fcis-30018	27	32	while	while	SCONJ
fcis-30018	27	33	retaining	retain	VERB
fcis-30018	27	34	rich	rich	ADJ
fcis-30018	27	35	information	information	NOUN
fcis-30018	27	36	.	.	PUNCT
fcis-30018	28	1	additionally	additionally	ADV
fcis-30018	28	2	,	,	PUNCT
fcis-30018	28	3	it	it	PRON
fcis-30018	28	4	optimizes	optimize	VERB
fcis-30018	28	5	the	the	DET
fcis-30018	28	6	disparity	disparity	NOUN
fcis-30018	28	7	map	map	NOUN
fcis-30018	28	8	through	through	ADP
fcis-30018	28	9	an	an	DET
fcis-30018	28	10	improved	improved	ADJ
fcis-30018	28	11	3d	3d	NUM
fcis-30018	28	12	aggregation	aggregation	NOUN
fcis-30018	28	13	module	module	NOUN
fcis-30018	28	14	.	.	PUNCT
fcis-30018	29	1	the	the	DET
fcis-30018	29	2	network	network	NOUN
fcis-30018	29	3	structure	structure	NOUN
fcis-30018	29	4	of	of	ADP
fcis-30018	29	5	gwcnet	gwcnet	NOUN
fcis-30018	29	6	is	be	AUX
fcis-30018	29	7	illustrated	illustrate	VERB
fcis-30018	29	8	in	in	ADP
fcis-30018	29	9	figure	figure	NOUN
fcis-30018	29	10	1	1	NUM
fcis-30018	29	11	.	.	PUNCT
fcis-30018	29	12	gwcnet	gwcnet	NOUN
fcis-30018	29	13	adopts	adopt	VERB
fcis-30018	29	14	the	the	DET
fcis-30018	29	15	following	follow	VERB
fcis-30018	29	16	steps	step	NOUN
fcis-30018	29	17	:	:	PUNCT
fcis-30018	29	18	fig	fig	NOUN
fcis-30018	29	19	1	1	NUM
fcis-30018	29	20	.	.	PUNCT
fcis-30018	29	21	gwcnet	gwcnet	PROPN
fcis-30018	29	22	flowchart	flowchart	PROPN
fcis-30018	29	23	2.1	2.1	NUM
fcis-30018	29	24	.	.	PUNCT
fcis-30018	30	1	feature	feature	NOUN
fcis-30018	30	2	extraction	extraction	NOUN
fcis-30018	30	3	during	during	ADP
fcis-30018	30	4	the	the	DET
fcis-30018	30	5	feature	feature	NOUN
fcis-30018	30	6	extraction	extraction	NOUN
fcis-30018	30	7	phase	phase	NOUN
fcis-30018	30	8	,	,	PUNCT
fcis-30018	30	9	the	the	DET
fcis-30018	30	10	model	model	NOUN
fcis-30018	30	11	processes	process	VERB
fcis-30018	30	12	the	the	DET
fcis-30018	30	13	left	left	ADJ
fcis-30018	30	14	and	and	CCONJ
fcis-30018	30	15	right	right	ADJ
fcis-30018	30	16	images	image	NOUN
fcis-30018	30	17	using	use	VERB
fcis-30018	30	18	a	a	DET
fcis-30018	30	19	network	network	NOUN
fcis-30018	30	20	similar	similar	ADJ
fcis-30018	30	21	to	to	ADP
fcis-30018	30	22	resnet	resnet	NOUN
fcis-30018	30	23	,	,	PUNCT
fcis-30018	30	24	as	as	SCONJ
fcis-30018	30	25	seen	see	VERB
fcis-30018	30	26	in	in	ADP
fcis-30018	30	27	the	the	DET
fcis-30018	30	28	efficient	efficient	ADJ
fcis-30018	30	29	and	and	CCONJ
fcis-30018	30	30	concise	concise	ADJ
fcis-30018	30	31	psmnet	psmnet	NOUN
fcis-30018	30	32	algorithm	algorithm	NOUN
fcis-30018	30	33	,	,	PUNCT
fcis-30018	30	34	to	to	PART
fcis-30018	30	35	obtain	obtain	VERB
fcis-30018	30	36	feature	feature	NOUN
fcis-30018	30	37	maps	map	NOUN
fcis-30018	30	38	at	at	ADP
fcis-30018	30	39	three	three	NUM
fcis-30018	30	40	different	different	ADJ
fcis-30018	30	41	scales	scale	NOUN
fcis-30018	30	42	.	.	PUNCT
fcis-30018	31	1	to	to	PART
fcis-30018	31	2	address	address	VERB
fcis-30018	31	3	the	the	DET
fcis-30018	31	4	issue	issue	NOUN
fcis-30018	31	5	of	of	ADP
fcis-30018	31	6	degradation	degradation	NOUN
fcis-30018	31	7	in	in	ADP
fcis-30018	31	8	large	large	ADJ
fcis-30018	31	9	correlation	correlation	NOUN
fcis-30018	31	10	regions	region	NOUN
fcis-30018	31	11	,	,	PUNCT
fcis-30018	31	12	these	these	DET
fcis-30018	31	13	three	three	NUM
fcis-30018	31	14	feature	feature	NOUN
fcis-30018	31	15	maps	map	NOUN
fcis-30018	31	16	of	of	ADP
fcis-30018	31	17	varying	vary	VERB
fcis-30018	31	18	scales	scale	NOUN
fcis-30018	31	19	are	be	AUX
fcis-30018	31	20	subsequently	subsequently	ADV
fcis-30018	31	21	concatenated	concatenate	VERB
fcis-30018	31	22	into	into	ADP
fcis-30018	31	23	a	a	DET
fcis-30018	31	24	single	single	ADJ
fcis-30018	31	25	feature	feature	NOUN
fcis-30018	31	26	map	map	NOUN
fcis-30018	31	27	with	with	ADP
fcis-30018	31	28	320	320	NUM
fcis-30018	31	29	channels	channel	NOUN
fcis-30018	31	30	,	,	PUNCT
fcis-30018	31	31	which	which	PRON
fcis-30018	31	32	serves	serve	VERB
fcis-30018	31	33	as	as	ADP
fcis-30018	31	34	the	the	DET
fcis-30018	31	35	input	input	NOUN
fcis-30018	31	36	for	for	ADP
fcis-30018	31	37	the	the	DET
fcis-30018	31	38	3d	3d	NUM
fcis-30018	31	39	cost	cost	NOUN
fcis-30018	31	40	volume	volume	NOUN
fcis-30018	31	41	construction	construction	NOUN
fcis-30018	31	42	.	.	PUNCT
fcis-30018	32	1	2.2	2.2	NUM
fcis-30018	32	2	.	.	PUNCT
fcis-30018	33	1	build	build	NOUN
fcis-30018	33	2	group	group	NOUN
fcis-30018	33	3	correlations	correlation	NOUN
fcis-30018	33	4	and	and	CCONJ
fcis-30018	33	5	connectomes	connectome	VERB
fcis-30018	33	6	gwcnet	gwcnet	NOUN
fcis-30018	33	7	introduces	introduce	VERB
fcis-30018	33	8	a	a	DET
fcis-30018	33	9	group	group	NOUN
fcis-30018	33	10	-	-	PUNCT
fcis-30018	33	11	wise	wise	ADJ
fcis-30018	33	12	correlation	correlation	NOUN
fcis-30018	33	13	mechanism	mechanism	NOUN
fcis-30018	33	14	that	that	PRON
fcis-30018	33	15	differs	differ	VERB
fcis-30018	33	16	from	from	ADP
fcis-30018	33	17	traditional	traditional	ADJ
fcis-30018	33	18	methods	method	NOUN
fcis-30018	33	19	which	which	PRON
fcis-30018	33	20	directly	directly	ADV
fcis-30018	33	21	concatenate	concatenate	VERB
fcis-30018	33	22	left	left	NOUN
fcis-30018	33	23	and	and	CCONJ
fcis-30018	33	24	right	right	ADJ
fcis-30018	33	25	features	feature	NOUN
fcis-30018	33	26	.	.	PUNCT
fcis-30018	34	1	instead	instead	ADV
fcis-30018	34	2	,	,	PUNCT
fcis-30018	34	3	the	the	DET
fcis-30018	34	4	feature	feature	NOUN
fcis-30018	34	5	maps	map	NOUN
fcis-30018	34	6	fused	fuse	VERB
fcis-30018	34	7	from	from	ADP
fcis-30018	34	8	the	the	DET
fcis-30018	34	9	left	left	ADJ
fcis-30018	34	10	and	and	CCONJ
fcis-30018	34	11	right	right	ADJ
fcis-30018	34	12	images	image	NOUN
fcis-30018	34	13	during	during	ADP
fcis-30018	34	14	the	the	DET
fcis-30018	34	15	feature	feature	NOUN
fcis-30018	34	16	extraction	extraction	NOUN
fcis-30018	34	17	stage	stage	NOUN
fcis-30018	34	18	are	be	AUX
fcis-30018	34	19	divided	divide	VERB
fcis-30018	34	20	into	into	ADP
fcis-30018	34	21	multiple	multiple	ADJ
fcis-30018	34	22	groups	group	NOUN
fcis-30018	34	23	along	along	ADP
fcis-30018	34	24	the	the	DET
fcis-30018	34	25	channel	channel	NOUN
fcis-30018	34	26	dimension	dimension	NOUN
fcis-30018	34	27	.	.	PUNCT
fcis-30018	35	1	each	each	DET
fcis-30018	35	2	group	group	NOUN
fcis-30018	35	3	has	have	VERB
fcis-30018	35	4	a	a	DET
fcis-30018	35	5	40	40	NUM
fcis-30018	35	6	-	-	PUNCT
fcis-30018	35	7	channel	channel	NOUN
fcis-30018	35	8	group	group	NOUN
fcis-30018	35	9	-	-	PUNCT
fcis-30018	35	10	wise	wise	ADJ
fcis-30018	35	11	correlation	correlation	NOUN
fcis-30018	35	12	volume	volume	NOUN
fcis-30018	35	13	and	and	CCONJ
fcis-30018	35	14	a	a	DET
fcis-30018	35	15	24	24	NUM
fcis-30018	35	16	-	-	PUNCT
fcis-30018	35	17	channel	channel	NOUN
fcis-30018	35	18	concatenation	concatenation	NOUN
fcis-30018	35	19	volume	volume	NOUN
fcis-30018	35	20	,	,	PUNCT
fcis-30018	35	21	which	which	PRON
fcis-30018	35	22	are	be	AUX
fcis-30018	35	23	fused	fuse	VERB
fcis-30018	35	24	into	into	ADP
fcis-30018	35	25	a	a	DET
fcis-30018	35	26	64	64	NUM
fcis-30018	35	27	-	-	PUNCT
fcis-30018	35	28	channel	channel	NOUN
fcis-30018	35	29	cost	cost	NOUN
fcis-30018	35	30	volume	volume	NOUN
fcis-30018	35	31	.	.	PUNCT
fcis-30018	36	1	for	for	ADP
fcis-30018	36	2	each	each	DET
fcis-30018	36	3	group	group	NOUN
fcis-30018	36	4	of	of	ADP
fcis-30018	36	5	features	feature	NOUN
fcis-30018	36	6	,	,	PUNCT
fcis-30018	36	7	the	the	DET
fcis-30018	36	8	similarity	similarity	NOUN
fcis-30018	36	9	between	between	ADP
fcis-30018	36	10	corresponding	correspond	VERB
fcis-30018	36	11	positions	position	NOUN
fcis-30018	36	12	in	in	ADP
fcis-30018	36	13	the	the	DET
fcis-30018	36	14	left	left	ADJ
fcis-30018	36	15	and	and	CCONJ
fcis-30018	36	16	right	right	ADJ
fcis-30018	36	17	images	image	NOUN
fcis-30018	36	18	is	be	AUX
fcis-30018	36	19	calculated	calculate	VERB
fcis-30018	36	20	separately	separately	ADV
fcis-30018	36	21	,	,	PUNCT
fcis-30018	36	22	generating	generate	VERB
fcis-30018	36	23	multiple	multiple	ADJ
fcis-30018	36	24	groups	group	NOUN
fcis-30018	36	25	of	of	ADP
fcis-30018	36	26	correlation	correlation	NOUN
fcis-30018	36	27	maps	map	NOUN
fcis-30018	36	28	.	.	PUNCT
fcis-30018	37	1	these	these	PRON
fcis-30018	37	2	are	be	AUX
fcis-30018	37	3	used	use	VERB
fcis-30018	37	4	to	to	PART
fcis-30018	37	5	construct	construct	VERB
fcis-30018	37	6	a	a	DET
fcis-30018	37	7	4d	4d	NUM
fcis-30018	37	8	cost	cost	NOUN
fcis-30018	37	9	volume	volume	NOUN
fcis-30018	37	10	containing	contain	VERB
fcis-30018	37	11	multiple	multiple	ADJ
fcis-30018	37	12	groups	group	NOUN
fcis-30018	37	13	of	of	ADP
fcis-30018	37	14	correlation	correlation	NOUN
fcis-30018	37	15	maps	map	NOUN
fcis-30018	37	16	,	,	PUNCT
fcis-30018	37	17	which	which	PRON
fcis-30018	37	18	serves	serve	VERB
fcis-30018	37	19	as	as	ADP
fcis-30018	37	20	the	the	DET
fcis-30018	37	21	input	input	NOUN
fcis-30018	37	22	for	for	ADP
fcis-30018	37	23	3d	3d	PROPN
fcis-30018	37	24	aggregation	aggregation	NOUN
fcis-30018	37	25	(	(	PUNCT
fcis-30018	37	26	h×w×d×g	h×w×d×g	PROPN
fcis-30018	37	27	,	,	PUNCT
fcis-30018	37	28	where	where	SCONJ
fcis-30018	37	29	d	d	NOUN
fcis-30018	37	30	is	be	AUX
fcis-30018	37	31	the	the	DET
fcis-30018	37	32	disparity	disparity	NOUN
fcis-30018	37	33	range	range	NOUN
fcis-30018	37	34	and	and	CCONJ
fcis-30018	37	35	g	g	PROPN
fcis-30018	37	36	is	be	AUX
fcis-30018	37	37	the	the	DET
fcis-30018	37	38	number	number	NOUN
fcis-30018	37	39	of	of	ADP
fcis-30018	37	40	groups	group	NOUN
fcis-30018	37	41	)	)	PUNCT
fcis-30018	37	42	.	.	PUNCT
fcis-30018	38	1	2.3	2.3	NUM
fcis-30018	38	2	.	.	X
fcis-30018	39	1	3d	3d	NUM
fcis-30018	39	2	aggregation	aggregation	NOUN
fcis-30018	39	3	network	network	NOUN
fcis-30018	39	4	the	the	DET
fcis-30018	39	5	3d	3d	ADJ
fcis-30018	39	6	convolutional	convolutional	ADJ
fcis-30018	39	7	aggregation	aggregation	NOUN
fcis-30018	39	8	network	network	NOUN
fcis-30018	39	9	adopts	adopt	VERB
fcis-30018	39	10	a	a	DET
fcis-30018	39	11	stacked	stacked	ADJ
fcis-30018	39	12	3d	3d	NUM
fcis-30018	39	13	hourglass	hourglass	NOUN
fcis-30018	39	14	network	network	NOUN
fcis-30018	39	15	structure	structure	NOUN
fcis-30018	39	16	.	.	PUNCT
fcis-30018	40	1	this	this	DET
fcis-30018	40	2	design	design	NOUN
fcis-30018	40	3	consists	consist	VERB
fcis-30018	40	4	of	of	ADP
fcis-30018	40	5	two	two	NUM
fcis-30018	40	6	convolutional	convolutional	ADJ
fcis-30018	40	7	layers	layer	NOUN
fcis-30018	40	8	and	and	CCONJ
fcis-30018	40	9	three	three	NUM
fcis-30018	40	10	stacked	stack	VERB
fcis-30018	40	11	3d	3d	NUM
fcis-30018	40	12	hourglass	hourglass	NOUN
fcis-30018	40	13	modules	module	NOUN
fcis-30018	40	14	.	.	PUNCT
fcis-30018	41	1	each	each	DET
fcis-30018	41	2	module	module	NOUN
fcis-30018	41	3	internally	internally	ADV
fcis-30018	41	4	contains	contain	VERB
fcis-30018	41	5	four	four	NUM
fcis-30018	41	6	normalized	normalize	VERB
fcis-30018	41	7	3d	3d	NUM
fcis-30018	41	8	convolutional	convolutional	ADJ
fcis-30018	41	9	layers	layer	NOUN
fcis-30018	41	10	and	and	CCONJ
fcis-30018	41	11	relu	relu	NOUN
fcis-30018	41	12	activations	activation	NOUN
fcis-30018	41	13	,	,	PUNCT
fcis-30018	41	14	specifically	specifically	ADV
fcis-30018	41	15	designed	design	VERB
fcis-30018	41	16	for	for	ADP
fcis-30018	41	17	extracting	extract	VERB
fcis-30018	41	18	and	and	CCONJ
fcis-30018	41	19	aggregating	aggregate	VERB
fcis-30018	41	20	feature	feature	NOUN
fcis-30018	41	21	information	information	NOUN
fcis-30018	41	22	.	.	PUNCT
fcis-30018	42	1	additionally	additionally	ADV
fcis-30018	42	2	,	,	PUNCT
fcis-30018	42	3	each	each	DET
fcis-30018	42	4	module	module	NOUN
fcis-30018	42	5	outputs	output	VERB
fcis-30018	42	6	a	a	DET
fcis-30018	42	7	disparity	disparity	NOUN
fcis-30018	42	8	map	map	NOUN
fcis-30018	42	9	,	,	PUNCT
fcis-30018	42	10	as	as	SCONJ
fcis-30018	42	11	shown	show	VERB
fcis-30018	42	12	in	in	ADP
fcis-30018	42	13	figure	figure	NOUN
fcis-30018	42	14	2	2	NUM
fcis-30018	42	15	.	.	PUNCT
fcis-30018	43	1	furthermore	furthermore	ADV
fcis-30018	43	2	,	,	PUNCT
fcis-30018	43	3	an	an	DET
fcis-30018	43	4	auxiliary	auxiliary	ADJ
fcis-30018	43	5	module	module	NOUN
fcis-30018	43	6	is	be	AUX
fcis-30018	43	7	added	add	VERB
fcis-30018	43	8	after	after	ADP
fcis-30018	43	9	the	the	DET
fcis-30018	43	10	first	first	ADJ
fcis-30018	43	11	two	two	NUM
fcis-30018	43	12	convolutional	convolutional	ADJ
fcis-30018	43	13	layers	layer	NOUN
fcis-30018	43	14	to	to	PART
fcis-30018	43	15	generate	generate	VERB
fcis-30018	43	16	disparity	disparity	NOUN
fcis-30018	43	17	map	map	NOUN
fcis-30018	43	18	0	0	NUM
fcis-30018	43	19	for	for	ADP
fcis-30018	43	20	learning	learn	VERB
fcis-30018	43	21	low	low	ADJ
fcis-30018	43	22	-	-	PUNCT
fcis-30018	43	23	level	level	NOUN
fcis-30018	43	24	features	feature	NOUN
fcis-30018	43	25	.	.	PUNCT
fcis-30018	44	1	the	the	DET
fcis-30018	44	2	3d	3d	PROPN
fcis-30018	44	3	hourglass	hourglass	NOUN
fcis-30018	44	4	network	network	NOUN
fcis-30018	44	5	removes	remove	VERB
fcis-30018	44	6	some	some	DET
fcis-30018	44	7	unnecessary	unnecessary	ADJ
fcis-30018	44	8	connections	connection	NOUN
fcis-30018	44	9	and	and	CCONJ
fcis-30018	44	10	retains	retain	VERB
fcis-30018	44	11	two	two	NUM
fcis-30018	44	12	skip	skip	ADJ
fcis-30018	44	13	connections	connection	NOUN
fcis-30018	44	14	to	to	PART
fcis-30018	44	15	enhance	enhance	VERB
fcis-30018	44	16	speed	speed	NOUN
fcis-30018	44	17	and	and	CCONJ
fcis-30018	44	18	improve	improve	VERB
fcis-30018	44	19	the	the	DET
fcis-30018	44	20	fusion	fusion	NOUN
fcis-30018	44	21	of	of	ADP
fcis-30018	44	22	key	key	ADJ
fcis-30018	44	23	and	and	CCONJ
fcis-30018	44	24	edge	edge	NOUN
fcis-30018	44	25	information	information	NOUN
fcis-30018	44	26	features	feature	NOUN
fcis-30018	44	27	.	.	PUNCT
fcis-30018	45	1	notably	notably	ADV
fcis-30018	45	2	,	,	PUNCT
fcis-30018	45	3	all	all	DET
fcis-30018	45	4	convolutional	convolutional	ADJ
fcis-30018	45	5	layers	layer	NOUN
fcis-30018	45	6	are	be	AUX
fcis-30018	45	7	3d	3d	NUM
fcis-30018	45	8	convolutions	convolution	NOUN
fcis-30018	45	9	and	and	CCONJ
fcis-30018	45	10	3d	3d	NUM
fcis-30018	45	11	deconvolutions	deconvolution	NOUN
fcis-30018	45	12	,	,	PUNCT
fcis-30018	45	13	enabling	enable	VERB
fcis-30018	45	14	the	the	DET
fcis-30018	45	15	network	network	NOUN
fcis-30018	45	16	to	to	PART
fcis-30018	45	17	simultaneously	simultaneously	ADV
fcis-30018	45	18	process	process	VERB
fcis-30018	45	19	information	information	NOUN
fcis-30018	45	20	in	in	ADP
fcis-30018	45	21	both	both	CCONJ
fcis-30018	45	22	spatial	spatial	ADJ
fcis-30018	45	23	and	and	CCONJ
fcis-30018	45	24	disparity	disparity	NOUN
fcis-30018	45	25	dimensions	dimension	NOUN
fcis-30018	45	26	,	,	PUNCT
fcis-30018	45	27	thereby	thereby	ADV
fcis-30018	45	28	reducing	reduce	VERB
fcis-30018	45	29	computation	computation	NOUN
fcis-30018	45	30	time	time	NOUN
fcis-30018	45	31	.	.	PUNCT
fcis-30018	46	1	2.4	2.4	NUM
fcis-30018	46	2	.	.	PUNCT
fcis-30018	46	3	disparity	disparity	NOUN
fcis-30018	46	4	regression	regression	NOUN
fcis-30018	46	5	and	and	CCONJ
fcis-30018	46	6	optimization	optimization	NOUN
fcis-30018	46	7	after	after	SCONJ
fcis-30018	46	8	the	the	DET
fcis-30018	46	9	4d	4d	NUM
fcis-30018	46	10	cost	cost	NOUN
fcis-30018	46	11	volume	volume	NOUN
fcis-30018	46	12	aggregation	aggregation	NOUN
fcis-30018	46	13	is	be	AUX
fcis-30018	46	14	completed	complete	VERB
fcis-30018	46	15	,	,	PUNCT
fcis-30018	46	16	the	the	DET
fcis-30018	46	17	disparity	disparity	NOUN
fcis-30018	46	18	maps	map	NOUN
fcis-30018	46	19	output	output	NOUN
fcis-30018	46	20	by	by	ADP
fcis-30018	46	21	the	the	DET
fcis-30018	46	22	four	four	NUM
fcis-30018	46	23	modules	module	NOUN
fcis-30018	46	24	are	be	AUX
fcis-30018	46	25	first	first	ADV
fcis-30018	46	26	processed	process	VERB
fcis-30018	46	27	through	through	ADP
fcis-30018	46	28	two	two	NUM
fcis-30018	46	29	3d	3d	NUM
fcis-30018	46	30	convolutional	convolutional	ADJ
fcis-30018	46	31	layers	layer	NOUN
fcis-30018	46	32	to	to	PART
fcis-30018	46	33	produce	produce	VERB
fcis-30018	46	34	a	a	DET
fcis-30018	46	35	1	1	NUM
fcis-30018	46	36	-	-	PUNCT
fcis-30018	46	37	channel	channel	NOUN
fcis-30018	46	38	4d	4d	NUM
fcis-30018	46	39	volume	volume	NOUN
fcis-30018	46	40	.	.	PUNCT
fcis-30018	47	1	this	this	DET
fcis-30018	47	2	volume	volume	NOUN
fcis-30018	47	3	is	be	AUX
fcis-30018	47	4	then	then	ADV
fcis-30018	47	5	upsampled	upsample	VERB
fcis-30018	47	6	to	to	PART
fcis-30018	47	7	restore	restore	VERB
fcis-30018	47	8	it	it	PRON
fcis-30018	47	9	to	to	ADP
fcis-30018	47	10	the	the	DET
fcis-30018	47	11	size	size	NOUN
fcis-30018	47	12	of	of	ADP
fcis-30018	47	13	the	the	DET
fcis-30018	47	14	original	original	ADJ
fcis-30018	47	15	image	image	NOUN
fcis-30018	47	16	.	.	PUNCT
fcis-30018	48	1	along	along	ADP
fcis-30018	48	2	the	the	DET
fcis-30018	48	3	disparity	disparity	NOUN
fcis-30018	48	4	dimension	dimension	NOUN
fcis-30018	48	5	,	,	PUNCT
fcis-30018	48	6	a	a	DET
fcis-30018	48	7	softmax	softmax	NOUN
fcis-30018	48	8	function	function	NOUN
fcis-30018	48	9	is	be	AUX
fcis-30018	48	10	applied	apply	VERB
fcis-30018	48	11	to	to	PART
fcis-30018	48	12	convert	convert	VERB
fcis-30018	48	13	it	it	PRON
fcis-30018	48	14	into	into	ADP
fcis-30018	48	15	a	a	DET
fcis-30018	48	16	probability	probability	NOUN
fcis-30018	48	17	volume	volume	NOUN
fcis-30018	48	18	(	(	PUNCT
fcis-30018	48	19	as	as	SCONJ
fcis-30018	48	20	shown	show	VERB
fcis-30018	48	21	in	in	ADP
fcis-30018	48	22	equation	equation	NOUN
fcis-30018	48	23	1	1	NUM
fcis-30018	48	24	)	)	PUNCT
fcis-30018	48	25	.	.	PUNCT
fcis-30018	49	1	after	after	ADP
fcis-30018	49	2	obtaining	obtain	VERB
fcis-30018	49	3	the	the	DET
fcis-30018	49	4	disparity	disparity	NOUN
fcis-30018	49	5	values	value	NOUN
fcis-30018	49	6	from	from	ADP
fcis-30018	49	7	the	the	DET
fcis-30018	49	8	four	four	NUM
fcis-30018	49	9	modules	module	NOUN
fcis-30018	49	10	,	,	PUNCT
fcis-30018	49	11	the	the	DET
fcis-30018	49	12	final	final	ADJ
fcis-30018	49	13	loss	loss	NOUN
fcis-30018	49	14	function	function	NOUN
fcis-30018	49	15	value	value	NOUN
fcis-30018	49	16	is	be	AUX
fcis-30018	49	17	calculated	calculate	VERB
fcis-30018	49	18	by	by	ADP
fcis-30018	49	19	weighting	weight	VERB
fcis-30018	49	20	(	(	PUNCT
fcis-30018	49	21	as	as	SCONJ
fcis-30018	49	22	shown	show	VERB
fcis-30018	49	23	in	in	ADP
fcis-30018	49	24	equation	equation	NOUN
fcis-30018	49	25	2	2	NUM
fcis-30018	49	26	)	)	PUNCT
fcis-30018	49	27	.	.	PUNCT
fcis-30018	50	1	smooth	smooth	PROPN
fcis-30018	50	2	l1	l1	PROPN
fcis-30018	50	3	loss	loss	NOUN
fcis-30018	50	4	(	(	PUNCT
fcis-30018	50	5	as	as	SCONJ
fcis-30018	50	6	shown	show	VERB
fcis-30018	50	7	in	in	ADP
fcis-30018	50	8	equation	equation	NOUN
fcis-30018	50	9	3	3	NUM
fcis-30018	50	10	)	)	PUNCT
fcis-30018	50	11	is	be	AUX
fcis-30018	50	12	used	use	VERB
fcis-30018	50	13	to	to	PART
fcis-30018	50	14	compute	compute	VERB
fcis-30018	50	15	the	the	DET
fcis-30018	50	16	loss	loss	NOUN
fcis-30018	50	17	for	for	ADP
fcis-30018	50	18	each	each	DET
fcis-30018	50	19	output	output	NOUN
fcis-30018	50	20	.	.	PUNCT
fcis-30018	51	1	d	d	NOUN
fcis-30018	51	2	∑	∑	PUNCT
fcis-30018	51	3	k	k	PROPN
fcis-30018	51	4	∙	∙	PROPN
fcis-30018	51	5	p	p	X
fcis-30018	51	6	(	(	PUNCT
fcis-30018	51	7	1	1	NUM
fcis-30018	51	8	)	)	PUNCT
fcis-30018	51	9	50	50	NUM
fcis-30018	51	10	fig	fig	NOUN
fcis-30018	51	11	2	2	NUM
fcis-30018	51	12	.	.	PUNCT
fcis-30018	51	13	3d	3d	NUM
fcis-30018	51	14	hourglass	hourglass	NOUN
fcis-30018	51	15	network	network	NOUN
fcis-30018	51	16	structure	structure	NOUN
fcis-30018	51	17	l	l	NOUN
fcis-30018	51	18	∑	∑	PUNCT
fcis-30018	51	19	λ	λ	PROPN
fcis-30018	51	20	⋅	⋅	PROPN
fcis-30018	51	21	smooth	smooth	ADJ
fcis-30018	51	22	d	d	PROPN
fcis-30018	51	23	d∗	d∗	NOUN
fcis-30018	51	24	(	(	PUNCT
fcis-30018	51	25	2	2	NUM
fcis-30018	51	26	)	)	PUNCT
fcis-30018	51	27	smooth	smooth	ADJ
fcis-30018	51	28	x	x	SYM
fcis-30018	51	29	0.5x	0.5x	NUM
fcis-30018	51	30	,	,	PUNCT
fcis-30018	51	31	if|x|	if|x|	PROPN
fcis-30018	51	32	1	1	NUM
fcis-30018	51	33	|x|	|x|	PROPN
fcis-30018	51	34	0.5	0.5	NUM
fcis-30018	51	35	,	,	PUNCT
fcis-30018	51	36	otherwise	otherwise	ADV
fcis-30018	51	37	(	(	PUNCT
fcis-30018	51	38	3	3	NUM
fcis-30018	51	39	)	)	PUNCT
fcis-30018	51	40	3	3	NUM
fcis-30018	51	41	.	.	X
fcis-30018	51	42	optimize	optimize	VERB
fcis-30018	51	43	the	the	DET
fcis-30018	51	44	gwcnet	gwcnet	NOUN
fcis-30018	51	45	algorithm	algorithm	NOUN
fcis-30018	51	46	due	due	ADP
fcis-30018	51	47	to	to	ADP
fcis-30018	51	48	the	the	DET
fcis-30018	51	49	original	original	ADJ
fcis-30018	51	50	gwcnet	gwcnet	NOUN
fcis-30018	51	51	model	model	NOUN
fcis-30018	51	52	's	's	PART
fcis-30018	51	53	lack	lack	NOUN
fcis-30018	51	54	of	of	ADP
fcis-30018	51	55	using	use	VERB
fcis-30018	51	56	an	an	DET
fcis-30018	51	57	mlp	mlp	NOUN
fcis-30018	51	58	spatial	spatial	ADJ
fcis-30018	51	59	pyramid	pyramid	NOUN
fcis-30018	51	60	pooling	pool	VERB
fcis-30018	51	61	module	module	NOUN
fcis-30018	51	62	in	in	ADP
fcis-30018	51	63	the	the	DET
fcis-30018	51	64	feature	feature	NOUN
fcis-30018	51	65	extraction	extraction	NOUN
fcis-30018	51	66	stage	stage	NOUN
fcis-30018	51	67	,	,	PUNCT
fcis-30018	51	68	leading	lead	VERB
fcis-30018	51	69	to	to	ADP
fcis-30018	51	70	inadequate	inadequate	ADJ
fcis-30018	51	71	extraction	extraction	NOUN
fcis-30018	51	72	of	of	ADP
fcis-30018	51	73	spatial	spatial	ADJ
fcis-30018	51	74	local	local	ADJ
fcis-30018	51	75	information	information	NOUN
fcis-30018	51	76	,	,	PUNCT
fcis-30018	51	77	this	this	DET
fcis-30018	51	78	paper	paper	NOUN
fcis-30018	51	79	proposes	propose	VERB
fcis-30018	51	80	the	the	DET
fcis-30018	51	81	s2attention	s2attention	NOUN
fcis-30018	51	82	mechanism	mechanism	NOUN
fcis-30018	51	83	to	to	PART
fcis-30018	51	84	enhance	enhance	VERB
fcis-30018	51	85	spatial	spatial	ADJ
fcis-30018	51	86	displacement	displacement	NOUN
fcis-30018	51	87	and	and	CCONJ
fcis-30018	51	88	increase	increase	VERB
fcis-30018	51	89	the	the	DET
fcis-30018	51	90	richness	richness	NOUN
fcis-30018	51	91	of	of	ADP
fcis-30018	51	92	local	local	ADJ
fcis-30018	51	93	information	information	NOUN
fcis-30018	51	94	,	,	PUNCT
fcis-30018	51	95	as	as	ADV
fcis-30018	51	96	well	well	ADV
fcis-30018	51	97	as	as	ADP
fcis-30018	51	98	a	a	DET
fcis-30018	51	99	divided	divide	VERB
fcis-30018	51	100	attention	attention	NOUN
fcis-30018	51	101	mechanism	mechanism	NOUN
fcis-30018	51	102	to	to	PART
fcis-30018	51	103	fuse	fuse	VERB
fcis-30018	51	104	multi	multi	ADJ
fcis-30018	51	105	-	-	ADJ
fcis-30018	51	106	scale	scale	ADJ
fcis-30018	51	107	features	feature	NOUN
fcis-30018	51	108	.	.	PUNCT
fcis-30018	52	1	in	in	ADP
fcis-30018	52	2	the	the	DET
fcis-30018	52	3	construction	construction	NOUN
fcis-30018	52	4	of	of	ADP
fcis-30018	52	5	cost	cost	NOUN
fcis-30018	52	6	volumes	volume	NOUN
fcis-30018	52	7	for	for	ADP
fcis-30018	52	8	stereo	stereo	NOUN
fcis-30018	52	9	matching	matching	NOUN
fcis-30018	52	10	,	,	PUNCT
fcis-30018	52	11	concatenation	concatenation	NOUN
fcis-30018	52	12	and	and	CCONJ
fcis-30018	52	13	group	group	NOUN
fcis-30018	52	14	-	-	PUNCT
fcis-30018	52	15	wise	wise	ADJ
fcis-30018	52	16	correlation	correlation	NOUN
fcis-30018	52	17	are	be	AUX
fcis-30018	52	18	used	use	VERB
fcis-30018	52	19	to	to	PART
fcis-30018	52	20	build	build	VERB
fcis-30018	52	21	3d	3d	NOUN
fcis-30018	52	22	or	or	CCONJ
fcis-30018	52	23	4d	4d	NUM
fcis-30018	52	24	cost	cost	NOUN
fcis-30018	52	25	volumes	volume	NOUN
fcis-30018	52	26	.	.	PUNCT
fcis-30018	53	1	to	to	PART
fcis-30018	53	2	create	create	VERB
fcis-30018	53	3	a	a	DET
fcis-30018	53	4	cost	cost	NOUN
fcis-30018	53	5	volume	volume	NOUN
fcis-30018	53	6	that	that	PRON
fcis-30018	53	7	ensures	ensure	VERB
fcis-30018	53	8	accuracy	accuracy	NOUN
fcis-30018	53	9	and	and	CCONJ
fcis-30018	53	10	efficient	efficient	ADJ
fcis-30018	53	11	runtime	runtime	NOUN
fcis-30018	53	12	while	while	SCONJ
fcis-30018	53	13	addressing	address	VERB
fcis-30018	53	14	the	the	DET
fcis-30018	53	15	issue	issue	NOUN
fcis-30018	53	16	of	of	ADP
fcis-30018	53	17	failure	failure	NOUN
fcis-30018	53	18	in	in	ADP
fcis-30018	53	19	areas	area	NOUN
fcis-30018	53	20	with	with	ADP
fcis-30018	53	21	little	little	ADJ
fcis-30018	53	22	or	or	CCONJ
fcis-30018	53	23	excessive	excessive	ADJ
fcis-30018	53	24	texture	texture	NOUN
fcis-30018	53	25	,	,	PUNCT
fcis-30018	53	26	which	which	PRON
fcis-30018	53	27	can	can	AUX
fcis-30018	53	28	produce	produce	VERB
fcis-30018	53	29	identical	identical	ADJ
fcis-30018	53	30	disparity	disparity	NOUN
fcis-30018	53	31	values	value	NOUN
fcis-30018	53	32	,	,	PUNCT
fcis-30018	53	33	this	this	DET
fcis-30018	53	34	paper	paper	NOUN
fcis-30018	53	35	introduces	introduce	VERB
fcis-30018	53	36	the	the	DET
fcis-30018	53	37	multi	multi	ADJ
fcis-30018	53	38	-	-	ADJ
fcis-30018	53	39	level	level	ADJ
fcis-30018	53	40	adaptive	adaptive	ADJ
fcis-30018	53	41	patch	patch	NOUN
fcis-30018	53	42	matching	matching	NOUN
fcis-30018	53	43	(	(	PUNCT
fcis-30018	53	44	mapm	mapm	NOUN
fcis-30018	53	45	)	)	PUNCT
fcis-30018	53	46	method	method	NOUN
fcis-30018	53	47	.	.	PUNCT
fcis-30018	54	1	mapm	mapm	NOUN
fcis-30018	54	2	extracts	extract	VERB
fcis-30018	54	3	multi	multi	ADJ
fcis-30018	54	4	-	-	ADJ
fcis-30018	54	5	level	level	ADJ
fcis-30018	54	6	feature	feature	NOUN
fcis-30018	54	7	maps	map	NOUN
fcis-30018	54	8	to	to	PART
fcis-30018	54	9	capture	capture	VERB
fcis-30018	54	10	information	information	NOUN
fcis-30018	54	11	at	at	ADP
fcis-30018	54	12	different	different	ADJ
fcis-30018	54	13	scales	scale	NOUN
fcis-30018	54	14	and	and	CCONJ
fcis-30018	54	15	enhances	enhance	VERB
fcis-30018	54	16	similarity	similarity	NOUN
fcis-30018	54	17	measurement	measurement	NOUN
fcis-30018	54	18	through	through	ADP
fcis-30018	54	19	self	self	NOUN
fcis-30018	54	20	-	-	PUNCT
fcis-30018	54	21	learned	learn	VERB
fcis-30018	54	22	weight	weight	NOUN
fcis-30018	54	23	patch	patch	NOUN
fcis-30018	54	24	matching	matching	NOUN
fcis-30018	54	25	of	of	ADP
fcis-30018	54	26	local	local	ADJ
fcis-30018	54	27	information	information	NOUN
fcis-30018	54	28	.	.	PUNCT
fcis-30018	55	1	additionally	additionally	ADV
fcis-30018	55	2	,	,	PUNCT
fcis-30018	55	3	to	to	PART
fcis-30018	55	4	optimize	optimize	VERB
fcis-30018	55	5	and	and	CCONJ
fcis-30018	55	6	fuse	fuse	VERB
fcis-30018	55	7	the	the	DET
fcis-30018	55	8	four	four	NUM
fcis-30018	55	9	disparity	disparity	NOUN
fcis-30018	55	10	maps	map	NOUN
fcis-30018	55	11	generated	generate	VERB
fcis-30018	55	12	by	by	ADP
fcis-30018	55	13	the	the	DET
fcis-30018	55	14	3d	3d	PROPN
fcis-30018	55	15	aggregation	aggregation	NOUN
fcis-30018	55	16	network	network	NOUN
fcis-30018	55	17	,	,	PUNCT
fcis-30018	55	18	the	the	DET
fcis-30018	55	19	safm	safm	NOUN
fcis-30018	55	20	(	(	PUNCT
fcis-30018	55	21	scale	scale	NOUN
fcis-30018	55	22	-	-	PUNCT
fcis-30018	55	23	aware	aware	ADJ
fcis-30018	55	24	feature	feature	NOUN
fcis-30018	55	25	modulation	modulation	NOUN
fcis-30018	55	26	)	)	PUNCT
fcis-30018	55	27	module	module	NOUN
fcis-30018	55	28	is	be	AUX
fcis-30018	55	29	proposed	propose	VERB
fcis-30018	55	30	.	.	PUNCT
fcis-30018	56	1	this	this	DET
fcis-30018	56	2	module	module	NOUN
fcis-30018	56	3	dynamically	dynamically	ADV
fcis-30018	56	4	selects	select	VERB
fcis-30018	56	5	representative	representative	ADJ
fcis-30018	56	6	features	feature	NOUN
fcis-30018	56	7	using	use	VERB
fcis-30018	56	8	a	a	DET
fcis-30018	56	9	multi	multi	ADJ
fcis-30018	56	10	-	-	ADJ
fcis-30018	56	11	scale	scale	ADJ
fcis-30018	56	12	feature	feature	NOUN
fcis-30018	56	13	modulation	modulation	NOUN
fcis-30018	56	14	mechanism	mechanism	NOUN
fcis-30018	56	15	to	to	PART
fcis-30018	56	16	increase	increase	VERB
fcis-30018	56	17	the	the	DET
fcis-30018	56	18	model	model	NOUN
fcis-30018	56	19	's	's	PART
fcis-30018	56	20	ability	ability	NOUN
fcis-30018	56	21	to	to	PART
fcis-30018	56	22	capture	capture	VERB
fcis-30018	56	23	features	feature	NOUN
fcis-30018	56	24	at	at	ADP
fcis-30018	56	25	different	different	ADJ
fcis-30018	56	26	scales	scale	NOUN
fcis-30018	56	27	.	.	PUNCT
fcis-30018	57	1	furthermore	furthermore	ADV
fcis-30018	57	2	,	,	PUNCT
fcis-30018	57	3	it	it	PRON
fcis-30018	57	4	supplements	supplement	VERB
fcis-30018	57	5	local	local	ADJ
fcis-30018	57	6	context	context	NOUN
fcis-30018	57	7	information	information	NOUN
fcis-30018	57	8	through	through	ADP
fcis-30018	57	9	a	a	DET
fcis-30018	57	10	convolutional	convolutional	ADJ
fcis-30018	57	11	channel	channel	NOUN
fcis-30018	57	12	mixer	mixer	NOUN
fcis-30018	57	13	to	to	PART
fcis-30018	57	14	compensate	compensate	VERB
fcis-30018	57	15	for	for	ADP
fcis-30018	57	16	missing	miss	VERB
fcis-30018	57	17	information	information	NOUN
fcis-30018	57	18	in	in	ADP
fcis-30018	57	19	the	the	DET
fcis-30018	57	20	global	global	ADJ
fcis-30018	57	21	context	context	NOUN
fcis-30018	57	22	.	.	PUNCT
fcis-30018	58	1	3.1	3.1	NUM
fcis-30018	58	2	.	.	PUNCT
fcis-30018	58	3	s2attention	s2attention	NOUN
fcis-30018	58	4	mechanisms	mechanism	VERB
fcis-30018	58	5	the	the	DET
fcis-30018	58	6	s2attention	s2attention	NOUN
fcis-30018	58	7	mechanism	mechanism	NOUN
fcis-30018	58	8	,	,	PUNCT
fcis-30018	58	9	as	as	SCONJ
fcis-30018	58	10	illustrated	illustrate	VERB
fcis-30018	58	11	in	in	ADP
fcis-30018	58	12	figure	figure	NOUN
fcis-30018	58	13	3	3	NUM
fcis-30018	58	14	,	,	PUNCT
fcis-30018	58	15	is	be	AUX
fcis-30018	58	16	a	a	DET
fcis-30018	58	17	key	key	ADJ
fcis-30018	58	18	mechanism	mechanism	NOUN
fcis-30018	58	19	based	base	VERB
fcis-30018	58	20	on	on	ADP
fcis-30018	58	21	the	the	DET
fcis-30018	58	22	s²-mlpv2	s²-mlpv2	ADJ
fcis-30018	58	23	visual	visual	ADJ
fcis-30018	58	24	backbone	backbone	NOUN
fcis-30018	58	25	network	network	NOUN
fcis-30018	58	26	that	that	PRON
fcis-30018	58	27	fuses	fuse	VERB
fcis-30018	58	28	feature	feature	NOUN
fcis-30018	58	29	maps	map	NOUN
fcis-30018	58	30	after	after	ADP
fcis-30018	58	31	undergoing	undergo	VERB
fcis-30018	58	32	different	different	ADJ
fcis-30018	58	33	spatial	spatial	ADJ
fcis-30018	58	34	displacement	displacement	ADJ
fcis-30018	58	35	operations	operation	NOUN
fcis-30018	58	36	using	use	VERB
fcis-30018	58	37	a	a	DET
fcis-30018	58	38	multi	multi	ADJ
fcis-30018	58	39	-	-	ADJ
fcis-30018	58	40	layer	layer	ADJ
fcis-30018	58	41	perceptron	perceptron	NOUN
fcis-30018	58	42	(	(	PUNCT
fcis-30018	58	43	mlp	mlp	PROPN
fcis-30018	58	44	)	)	PUNCT
fcis-30018	58	45	.	.	PUNCT
fcis-30018	59	1	first	first	ADV
fcis-30018	59	2	,	,	PUNCT
fcis-30018	59	3	the	the	DET
fcis-30018	59	4	input	input	NOUN
fcis-30018	59	5	feature	feature	NOUN
fcis-30018	59	6	map	map	NOUN
fcis-30018	59	7	x	x	PRON
fcis-30018	59	8	passes	pass	VERB
fcis-30018	59	9	through	through	ADP
fcis-30018	59	10	an	an	DET
fcis-30018	59	11	mlp	mlp	NOUN
fcis-30018	59	12	spatial	spatial	ADJ
fcis-30018	59	13	pyramid	pyramid	NOUN
fcis-30018	59	14	pooling	pool	VERB
fcis-30018	59	15	module	module	NOUN
fcis-30018	59	16	layer	layer	NOUN
fcis-30018	59	17	,	,	PUNCT
fcis-30018	59	18	which	which	PRON
fcis-30018	59	19	expands	expand	VERB
fcis-30018	59	20	the	the	DET
fcis-30018	59	21	number	number	NOUN
fcis-30018	59	22	of	of	ADP
fcis-30018	59	23	channels	channel	NOUN
fcis-30018	59	24	to	to	ADP
fcis-30018	59	25	three	three	NUM
fcis-30018	59	26	times	time	NOUN
fcis-30018	59	27	the	the	DET
fcis-30018	59	28	original	original	ADJ
fcis-30018	59	29	,	,	PUNCT
fcis-30018	59	30	resulting	result	VERB
fcis-30018	59	31	in	in	ADP
fcis-30018	59	32	a	a	DET
fcis-30018	59	33	new	new	ADJ
fcis-30018	59	34	feature	feature	NOUN
fcis-30018	59	35	map	map	NOUN
fcis-30018	59	36	.	.	PUNCT
fcis-30018	60	1	subsequently	subsequently	ADV
fcis-30018	60	2	,	,	PUNCT
fcis-30018	60	3	the	the	DET
fcis-30018	60	4	expanded	expand	VERB
fcis-30018	60	5	feature	feature	NOUN
fcis-30018	60	6	map	map	NOUN
fcis-30018	60	7	is	be	AUX
fcis-30018	60	8	split	split	VERB
fcis-30018	60	9	into	into	ADP
fcis-30018	60	10	three	three	NUM
fcis-30018	60	11	parts	part	NOUN
fcis-30018	60	12	along	along	ADP
fcis-30018	60	13	the	the	DET
fcis-30018	60	14	channel	channel	NOUN
fcis-30018	60	15	dimension	dimension	NOUN
fcis-30018	60	16	,	,	PUNCT
fcis-30018	60	17	with	with	ADP
fcis-30018	60	18	each	each	DET
fcis-30018	60	19	part	part	NOUN
fcis-30018	60	20	having	have	VERB
fcis-30018	60	21	the	the	DET
fcis-30018	60	22	same	same	ADJ
fcis-30018	60	23	size	size	NOUN
fcis-30018	60	24	as	as	ADP
fcis-30018	60	25	the	the	DET
fcis-30018	60	26	original	original	ADJ
fcis-30018	60	27	feature	feature	NOUN
fcis-30018	60	28	map	map	NOUN
fcis-30018	60	29	.	.	PUNCT
fcis-30018	61	1	this	this	DET
fcis-30018	61	2	step	step	NOUN
fcis-30018	61	3	aims	aim	VERB
fcis-30018	61	4	to	to	PART
fcis-30018	61	5	divide	divide	VERB
fcis-30018	61	6	the	the	DET
fcis-30018	61	7	feature	feature	NOUN
fcis-30018	61	8	map	map	NOUN
fcis-30018	61	9	into	into	ADP
fcis-30018	61	10	different	different	ADJ
fcis-30018	61	11	groups	group	NOUN
fcis-30018	61	12	for	for	ADP
fcis-30018	61	13	applying	apply	VERB
fcis-30018	61	14	different	different	ADJ
fcis-30018	61	15	spatial	spatial	ADJ
fcis-30018	61	16	displacement	displacement	ADJ
fcis-30018	61	17	operations	operation	NOUN
fcis-30018	61	18	to	to	ADP
fcis-30018	61	19	them	they	PRON
fcis-30018	61	20	.	.	PUNCT
fcis-30018	62	1	next	next	ADV
fcis-30018	62	2	,	,	PUNCT
fcis-30018	62	3	the	the	DET
fcis-30018	62	4	three	three	NUM
fcis-30018	62	5	feature	feature	NOUN
fcis-30018	62	6	maps	map	NOUN
fcis-30018	62	7	undergo	undergo	VERB
fcis-30018	62	8	related	related	ADJ
fcis-30018	62	9	operations	operation	NOUN
fcis-30018	62	10	:	:	PUNCT
fcis-30018	62	11	the	the	DET
fcis-30018	62	12	first	first	ADJ
fcis-30018	62	13	one	one	NUM
fcis-30018	62	14	undergoes	undergo	VERB
fcis-30018	62	15	a	a	DET
fcis-30018	62	16	spatial	spatial	ADJ
fcis-30018	62	17	displacement	displacement	ADJ
fcis-30018	62	18	operation	operation	NOUN
fcis-30018	62	19	,	,	PUNCT
fcis-30018	62	20	which	which	PRON
fcis-30018	62	21	involves	involve	VERB
fcis-30018	62	22	cyclic	cyclic	ADJ
fcis-30018	62	23	shifts	shift	NOUN
fcis-30018	62	24	in	in	ADP
fcis-30018	62	25	the	the	DET
fcis-30018	62	26	up	up	NOUN
fcis-30018	62	27	,	,	PUNCT
fcis-30018	62	28	down	down	ADV
fcis-30018	62	29	,	,	PUNCT
fcis-30018	62	30	left	leave	VERB
fcis-30018	62	31	,	,	PUNCT
fcis-30018	62	32	and	and	CCONJ
fcis-30018	62	33	right	right	ADJ
fcis-30018	62	34	directions	direction	NOUN
fcis-30018	62	35	;	;	PUNCT
fcis-30018	62	36	the	the	DET
fcis-30018	62	37	second	second	ADJ
fcis-30018	62	38	one	one	NUM
fcis-30018	62	39	undergoes	undergo	VERB
fcis-30018	62	40	asymmetric	asymmetric	ADJ
fcis-30018	62	41	opposite	opposite	ADJ
fcis-30018	62	42	spatial	spatial	ADJ
fcis-30018	62	43	displacement	displacement	ADJ
fcis-30018	62	44	operations	operation	NOUN
fcis-30018	62	45	to	to	PART
fcis-30018	62	46	complement	complement	VERB
fcis-30018	62	47	the	the	DET
fcis-30018	62	48	first	first	ADJ
fcis-30018	62	49	feature	feature	NOUN
fcis-30018	62	50	map	map	NOUN
fcis-30018	62	51	;	;	PUNCT
fcis-30018	62	52	and	and	CCONJ
fcis-30018	62	53	the	the	DET
fcis-30018	62	54	third	third	ADJ
fcis-30018	62	55	one	one	NOUN
fcis-30018	62	56	remains	remain	VERB
fcis-30018	62	57	unchanged	unchanged	ADJ
fcis-30018	62	58	.	.	PUNCT
fcis-30018	63	1	finally	finally	ADV
fcis-30018	63	2	,	,	PUNCT
fcis-30018	63	3	the	the	DET
fcis-30018	63	4	three	three	NUM
fcis-30018	63	5	feature	feature	NOUN
fcis-30018	63	6	maps	map	NOUN
fcis-30018	63	7	after	after	SCONJ
fcis-30018	63	8	spatial	spatial	ADJ
fcis-30018	63	9	displacement	displacement	ADJ
fcis-30018	63	10	operations	operation	NOUN
fcis-30018	63	11	are	be	AUX
fcis-30018	63	12	sent	send	VERB
fcis-30018	63	13	to	to	ADP
fcis-30018	63	14	a	a	DET
fcis-30018	63	15	divided	divide	VERB
fcis-30018	63	16	attention	attention	NOUN
fcis-30018	63	17	module	module	NOUN
fcis-30018	63	18	.	.	PUNCT
fcis-30018	64	1	in	in	ADP
fcis-30018	64	2	this	this	DET
fcis-30018	64	3	module	module	NOUN
fcis-30018	64	4	,	,	PUNCT
fcis-30018	64	5	each	each	DET
fcis-30018	64	6	feature	feature	NOUN
fcis-30018	64	7	map	map	NOUN
fcis-30018	64	8	first	first	ADJ
fcis-30018	64	9	undergoes	undergo	VERB
fcis-30018	64	10	average	average	ADJ
fcis-30018	64	11	pooling	pooling	NOUN
fcis-30018	64	12	to	to	PART
fcis-30018	64	13	reduce	reduce	VERB
fcis-30018	64	14	its	its	PRON
fcis-30018	64	15	dimensions	dimension	NOUN
fcis-30018	64	16	and	and	CCONJ
fcis-30018	64	17	extract	extract	VERB
fcis-30018	64	18	key	key	ADJ
fcis-30018	64	19	information	information	NOUN
fcis-30018	64	20	.	.	PUNCT
fcis-30018	65	1	then	then	ADV
fcis-30018	65	2	,	,	PUNCT
fcis-30018	65	3	after	after	ADP
fcis-30018	65	4	passing	pass	VERB
fcis-30018	65	5	through	through	ADP
fcis-30018	65	6	a	a	DET
fcis-30018	65	7	series	series	NOUN
fcis-30018	65	8	of	of	ADP
fcis-30018	65	9	mlp	mlp	PROPN
fcis-30018	65	10	layers	layer	NOUN
fcis-30018	65	11	,	,	PUNCT
fcis-30018	65	12	these	these	DET
fcis-30018	65	13	feature	feature	NOUN
fcis-30018	65	14	maps	map	NOUN
fcis-30018	65	15	are	be	AUX
fcis-30018	65	16	further	far	ADV
fcis-30018	65	17	transformed	transform	VERB
fcis-30018	65	18	and	and	CCONJ
fcis-30018	65	19	generate	generate	VERB
fcis-30018	65	20	final	final	ADJ
fcis-30018	65	21	attention	attention	NOUN
fcis-30018	65	22	weights	weight	NOUN
fcis-30018	65	23	.	.	PUNCT
fcis-30018	66	1	these	these	DET
fcis-30018	66	2	weights	weight	NOUN
fcis-30018	66	3	are	be	AUX
fcis-30018	66	4	used	use	VERB
fcis-30018	66	5	to	to	PART
fcis-30018	66	6	weight	weight	VERB
fcis-30018	66	7	the	the	DET
fcis-30018	66	8	original	original	ADJ
fcis-30018	66	9	feature	feature	NOUN
fcis-30018	66	10	maps	map	NOUN
fcis-30018	66	11	,	,	PUNCT
fcis-30018	66	12	thereby	thereby	ADV
fcis-30018	66	13	generating	generate	VERB
fcis-30018	66	14	the	the	DET
fcis-30018	66	15	final	final	ADJ
fcis-30018	66	16	feature	feature	NOUN
fcis-30018	66	17	map	map	NOUN
fcis-30018	66	18	.	.	PUNCT
fcis-30018	67	1	split	split	VERB
fcis-30018	67	2	attention	attention	NOUN
fcis-30018	67	3	h	h	NOUN
fcis-30018	67	4	c	c	NOUN
fcis-30018	67	5	w	w	NOUN
fcis-30018	67	6	shift	shift	VERB
fcis-30018	67	7	2	2	NUM
fcis-30018	67	8	shift	shift	NOUN
fcis-30018	67	9	1	1	NUM
fcis-30018	67	10	identity	identity	NOUN
fcis-30018	67	11	h	h	NOUN
fcis-30018	67	12	c	c	PROPN
fcis-30018	67	13	w	w	PROPN
fcis-30018	67	14	splitmlp	splitmlp	PROPN
fcis-30018	67	15	h	h	PROPN
fcis-30018	68	1	w	w	PROPN
fcis-30018	68	2	3c	3c	NUM
fcis-30018	68	3	fig	fig	NOUN
fcis-30018	68	4	3	3	NUM
fcis-30018	68	5	.	.	PUNCT
fcis-30018	68	6	s2attention	s2attention	NOUN
fcis-30018	68	7	mechanisms	mechanism	NOUN
fcis-30018	68	8	3.2	3.2	NUM
fcis-30018	68	9	.	.	PUNCT
fcis-30018	69	1	safm	safm	NOUN
fcis-30018	69	2	module	module	NOUN
fcis-30018	69	3	the	the	DET
fcis-30018	69	4	spatial	spatial	ADJ
fcis-30018	69	5	adaptive	adaptive	ADJ
fcis-30018	69	6	feature	feature	NOUN
fcis-30018	69	7	modulation	modulation	NOUN
fcis-30018	69	8	(	(	PUNCT
fcis-30018	69	9	safm	safm	NOUN
fcis-30018	69	10	)	)	PUNCT
fcis-30018	69	11	module	module	NOUN
fcis-30018	69	12	,	,	PUNCT
fcis-30018	69	13	as	as	SCONJ
fcis-30018	69	14	shown	show	VERB
fcis-30018	69	15	in	in	ADP
fcis-30018	69	16	figure	figure	NOUN
fcis-30018	69	17	4	4	NUM
fcis-30018	69	18	,	,	PUNCT
fcis-30018	69	19	focuses	focus	VERB
fcis-30018	69	20	on	on	ADP
fcis-30018	69	21	achieving	achieve	VERB
fcis-30018	69	22	precise	precise	ADJ
fcis-30018	69	23	3d	3d	NOUN
fcis-30018	69	24	reconstruction	reconstruction	NOUN
fcis-30018	69	25	through	through	ADP
fcis-30018	69	26	a	a	DET
fcis-30018	69	27	network	network	NOUN
fcis-30018	69	28	architecture	architecture	NOUN
fcis-30018	69	29	that	that	PRON
fcis-30018	69	30	dynamically	dynamically	ADV
fcis-30018	69	31	adjusts	adjust	VERB
fcis-30018	69	32	features	feature	NOUN
fcis-30018	69	33	at	at	ADP
fcis-30018	69	34	the	the	DET
fcis-30018	69	35	pixel	pixel	PROPN
fcis-30018	69	36	level	level	NOUN
fcis-30018	69	37	.	.	PUNCT
fcis-30018	70	1	first	first	ADV
fcis-30018	70	2	,	,	PUNCT
fcis-30018	70	3	the	the	DET
fcis-30018	70	4	input	input	NOUN
fcis-30018	70	5	features	feature	NOUN
fcis-30018	70	6	are	be	AUX
fcis-30018	70	7	equally	equally	ADV
fcis-30018	70	8	divided	divide	VERB
fcis-30018	70	9	into	into	ADP
fcis-30018	70	10	four	four	NUM
fcis-30018	70	11	sub	sub	ADJ
fcis-30018	70	12	-	-	ADJ
fcis-30018	70	13	feature	feature	ADJ
fcis-30018	70	14	layers	layer	NOUN
fcis-30018	70	15	along	along	ADP
fcis-30018	70	16	the	the	DET
fcis-30018	70	17	channel	channel	NOUN
fcis-30018	70	18	dimension	dimension	NOUN
fcis-30018	70	19	,	,	PUNCT
fcis-30018	70	20	with	with	ADP
fcis-30018	70	21	each	each	DET
fcis-30018	70	22	sub	sub	NOUN
fcis-30018	70	23	-	-	NOUN
fcis-30018	70	24	layer	layer	NOUN
fcis-30018	70	25	maintaining	maintain	VERB
fcis-30018	70	26	the	the	DET
fcis-30018	70	27	51	51	NUM
fcis-30018	70	28	same	same	ADJ
fcis-30018	70	29	spatial	spatial	ADJ
fcis-30018	70	30	size	size	NOUN
fcis-30018	70	31	as	as	ADP
fcis-30018	70	32	the	the	DET
fcis-30018	70	33	original	original	ADJ
fcis-30018	70	34	feature	feature	NOUN
fcis-30018	70	35	map	map	NOUN
fcis-30018	70	36	but	but	CCONJ
fcis-30018	70	37	with	with	ADP
fcis-30018	70	38	the	the	DET
fcis-30018	70	39	number	number	NOUN
fcis-30018	70	40	of	of	ADP
fcis-30018	70	41	channels	channel	NOUN
fcis-30018	70	42	reduced	reduce	VERB
fcis-30018	70	43	to	to	ADP
fcis-30018	70	44	one	one	NUM
fcis-30018	70	45	-	-	PUNCT
fcis-30018	70	46	fourth	fourth	NOUN
fcis-30018	70	47	of	of	ADP
fcis-30018	70	48	the	the	DET
fcis-30018	70	49	original	original	NOUN
fcis-30018	70	50	.	.	PUNCT
fcis-30018	71	1	c	c	NOUN
fcis-30018	71	2	on	on	ADP
fcis-30018	71	3	v	v	NUM
fcis-30018	71	4	1×	1×	NUM
fcis-30018	71	5	1	1	NUM
fcis-30018	71	6	c	c	NOUN
fcis-30018	71	7	on	on	ADP
fcis-30018	71	8	ca	ca	NOUN
fcis-30018	72	1	te	te	INTJ
fcis-30018	72	2	na	na	PART
fcis-30018	72	3	ti	ti	PROPN
fcis-30018	72	4	on8	on8	VERB
fcis-30018	72	5	4	4	NUM
fcis-30018	72	6	2	2	NUM
fcis-30018	72	7	fig	fig	NOUN
fcis-30018	72	8	4	4	NUM
fcis-30018	72	9	.	.	PUNCT
fcis-30018	72	10	safm	safm	NOUN
fcis-30018	72	11	module	module	NOUN
fcis-30018	72	12	next	next	ADV
fcis-30018	72	13	,	,	PUNCT
fcis-30018	72	14	a	a	DET
fcis-30018	72	15	multi	multi	ADJ
fcis-30018	72	16	-	-	ADJ
fcis-30018	72	17	scale	scale	ADJ
fcis-30018	72	18	feature	feature	NOUN
fcis-30018	72	19	pyramid	pyramid	NOUN
fcis-30018	72	20	is	be	AUX
fcis-30018	72	21	generated	generate	VERB
fcis-30018	72	22	through	through	ADP
fcis-30018	72	23	downsampling	downsample	VERB
fcis-30018	72	24	operations	operation	NOUN
fcis-30018	72	25	:	:	PUNCT
fcis-30018	72	26	the	the	DET
fcis-30018	72	27	lowest	low	ADJ
fcis-30018	72	28	layer	layer	NOUN
fcis-30018	72	29	retains	retain	VERB
fcis-30018	72	30	the	the	DET
fcis-30018	72	31	original	original	ADJ
fcis-30018	72	32	resolution	resolution	NOUN
fcis-30018	72	33	,	,	PUNCT
fcis-30018	72	34	while	while	SCONJ
fcis-30018	72	35	the	the	DET
fcis-30018	72	36	other	other	ADJ
fcis-30018	72	37	three	three	NUM
fcis-30018	72	38	upper	upper	ADJ
fcis-30018	72	39	layers	layer	NOUN
fcis-30018	72	40	undergo	undergo	VERB
fcis-30018	72	41	2x	2x	NUM
fcis-30018	72	42	,	,	PUNCT
fcis-30018	72	43	4x	4x	NUM
fcis-30018	72	44	,	,	PUNCT
fcis-30018	72	45	and	and	CCONJ
fcis-30018	72	46	8x	8x	PROPN
fcis-30018	72	47	downsampling	downsampling	NOUN
fcis-30018	72	48	,	,	PUNCT
fcis-30018	72	49	respectively	respectively	ADV
fcis-30018	72	50	,	,	PUNCT
fcis-30018	72	51	to	to	PART
fcis-30018	72	52	form	form	VERB
fcis-30018	72	53	different	different	ADJ
fcis-30018	72	54	levels	level	NOUN
fcis-30018	72	55	of	of	ADP
fcis-30018	72	56	dimensionality	dimensionality	NOUN
fcis-30018	72	57	-	-	PUNCT
fcis-30018	72	58	reduced	reduce	VERB
fcis-30018	72	59	representations	representation	NOUN
fcis-30018	72	60	.	.	PUNCT
fcis-30018	73	1	for	for	ADP
fcis-30018	73	2	computational	computational	ADJ
fcis-30018	73	3	convenience	convenience	NOUN
fcis-30018	73	4	,	,	PUNCT
fcis-30018	73	5	these	these	DET
fcis-30018	73	6	three	three	NUM
fcis-30018	73	7	downsampling	downsample	VERB
fcis-30018	73	8	branches	branch	NOUN
fcis-30018	73	9	all	all	PRON
fcis-30018	73	10	use	use	VERB
fcis-30018	73	11	3×3	3×3	NUM
fcis-30018	73	12	depthwise	depthwise	NOUN
fcis-30018	73	13	convolutions	convolution	NOUN
fcis-30018	73	14	to	to	PART
fcis-30018	73	15	extract	extract	VERB
fcis-30018	73	16	neighborhood	neighborhood	NOUN
fcis-30018	73	17	information	information	NOUN
fcis-30018	73	18	,	,	PUNCT
fcis-30018	73	19	followed	follow	VERB
fcis-30018	73	20	by	by	ADP
fcis-30018	73	21	bilinear	bilinear	NOUN
fcis-30018	73	22	interpolation	interpolation	NOUN
fcis-30018	73	23	upsampling	upsample	VERB
fcis-30018	73	24	to	to	PART
fcis-30018	73	25	restore	restore	VERB
fcis-30018	73	26	the	the	DET
fcis-30018	73	27	original	original	ADJ
fcis-30018	73	28	dimensions	dimension	NOUN
fcis-30018	73	29	and	and	CCONJ
fcis-30018	73	30	spatial	spatial	ADJ
fcis-30018	73	31	size	size	NOUN
fcis-30018	73	32	.	.	PUNCT
fcis-30018	74	1	finally	finally	ADV
fcis-30018	74	2	,	,	PUNCT
fcis-30018	74	3	three	three	NUM
fcis-30018	74	4	feature	feature	NOUN
fcis-30018	74	5	maps	map	NOUN
fcis-30018	74	6	that	that	PRON
fcis-30018	74	7	have	have	AUX
fcis-30018	74	8	undergone	undergo	VERB
fcis-30018	74	9	spatial	spatial	ADJ
fcis-30018	74	10	displacement	displacement	NOUN
fcis-30018	74	11	are	be	AUX
fcis-30018	74	12	fed	feed	VERB
fcis-30018	74	13	into	into	ADP
fcis-30018	74	14	the	the	DET
fcis-30018	74	15	segmentation	segmentation	NOUN
fcis-30018	74	16	attention	attention	NOUN
fcis-30018	74	17	module	module	NOUN
fcis-30018	74	18	.	.	PUNCT
fcis-30018	75	1	in	in	ADP
fcis-30018	75	2	this	this	DET
fcis-30018	75	3	module	module	NOUN
fcis-30018	75	4	,	,	PUNCT
fcis-30018	75	5	each	each	DET
fcis-30018	75	6	feature	feature	NOUN
fcis-30018	75	7	map	map	NOUN
fcis-30018	75	8	is	be	AUX
fcis-30018	75	9	averaged	average	VERB
fcis-30018	75	10	pooled	pool	VERB
fcis-30018	75	11	to	to	PART
fcis-30018	75	12	reduce	reduce	VERB
fcis-30018	75	13	the	the	DET
fcis-30018	75	14	dimension	dimension	NOUN
fcis-30018	75	15	and	and	CCONJ
fcis-30018	75	16	extract	extract	VERB
fcis-30018	75	17	key	key	ADJ
fcis-30018	75	18	information	information	NOUN
fcis-30018	75	19	.	.	PUNCT
fcis-30018	76	1	then	then	ADV
fcis-30018	76	2	,	,	PUNCT
fcis-30018	76	3	these	these	DET
fcis-30018	76	4	feature	feature	NOUN
fcis-30018	76	5	maps	map	NOUN
fcis-30018	76	6	are	be	AUX
fcis-30018	76	7	further	far	ADV
fcis-30018	76	8	processed	process	VERB
fcis-30018	76	9	through	through	ADP
fcis-30018	76	10	a	a	DET
fcis-30018	76	11	series	series	NOUN
fcis-30018	76	12	of	of	ADP
fcis-30018	76	13	mlp	mlp	PROPN
fcis-30018	76	14	layers	layer	NOUN
fcis-30018	76	15	to	to	PART
fcis-30018	76	16	generate	generate	VERB
fcis-30018	76	17	attention	attention	NOUN
fcis-30018	76	18	weights	weight	NOUN
fcis-30018	76	19	.	.	PUNCT
fcis-30018	77	1	these	these	DET
fcis-30018	77	2	weights	weight	NOUN
fcis-30018	77	3	are	be	AUX
fcis-30018	77	4	used	use	VERB
fcis-30018	77	5	to	to	PART
fcis-30018	77	6	weight	weight	VERB
fcis-30018	77	7	the	the	DET
fcis-30018	77	8	original	original	ADJ
fcis-30018	77	9	feature	feature	NOUN
fcis-30018	77	10	map	map	NOUN
fcis-30018	77	11	to	to	PART
fcis-30018	77	12	produce	produce	VERB
fcis-30018	77	13	an	an	DET
fcis-30018	77	14	optimized	optimize	VERB
fcis-30018	77	15	feature	feature	NOUN
fcis-30018	77	16	map	map	NOUN
fcis-30018	77	17	.	.	PUNCT
fcis-30018	78	1	3.3	3.3	NUM
fcis-30018	78	2	.	.	PUNCT
fcis-30018	79	1	mapm	mapm	NOUN
fcis-30018	79	2	module	module	NOUN
fcis-30018	79	3	and	and	CCONJ
fcis-30018	79	4	filtered	filter	VERB
fcis-30018	79	5	attention	attention	NOUN
fcis-30018	79	6	weights	weight	VERB
fcis-30018	79	7	3.3.1	3.3.1	NUM
fcis-30018	79	8	.	.	PUNCT
fcis-30018	79	9	mapm	mapm	NOUN
fcis-30018	79	10	module	module	NOUN
fcis-30018	79	11	the	the	DET
fcis-30018	79	12	multi	multi	ADJ
fcis-30018	79	13	-	-	ADJ
fcis-30018	79	14	level	level	ADJ
fcis-30018	79	15	feature	feature	NOUN
fcis-30018	79	16	aggregation	aggregation	NOUN
fcis-30018	79	17	module	module	NOUN
fcis-30018	79	18	(	(	PUNCT
fcis-30018	79	19	mfam	mfam	PROPN
fcis-30018	79	20	)	)	PUNCT
fcis-30018	79	21	is	be	AUX
fcis-30018	79	22	a	a	DET
fcis-30018	79	23	module	module	NOUN
fcis-30018	79	24	that	that	PRON
fcis-30018	79	25	generates	generate	VERB
fcis-30018	79	26	highly	highly	ADV
fcis-30018	79	27	accurate	accurate	ADJ
fcis-30018	79	28	and	and	CCONJ
fcis-30018	79	29	discriminative	discriminative	NOUN
fcis-30018	79	30	matching	matching	NOUN
fcis-30018	79	31	cost	cost	NOUN
fcis-30018	79	32	objects	object	NOUN
fcis-30018	79	33	,	,	PUNCT
fcis-30018	79	34	as	as	SCONJ
fcis-30018	79	35	shown	show	VERB
fcis-30018	79	36	in	in	ADP
fcis-30018	79	37	figure	figure	NOUN
fcis-30018	79	38	5	5	NUM
fcis-30018	79	39	.	.	PUNCT
fcis-30018	80	1	firstly	firstly	ADV
fcis-30018	80	2	,	,	PUNCT
fcis-30018	80	3	the	the	DET
fcis-30018	80	4	multiscale	multiscale	ADJ
fcis-30018	80	5	feature	feature	NOUN
fcis-30018	80	6	map	map	NOUN
fcis-30018	80	7	obtained	obtain	VERB
fcis-30018	80	8	from	from	ADP
fcis-30018	80	9	the	the	DET
fcis-30018	80	10	model	model	NOUN
fcis-30018	80	11	feature	feature	NOUN
fcis-30018	80	12	extraction	extraction	NOUN
fcis-30018	80	13	stage	stage	NOUN
fcis-30018	80	14	and	and	CCONJ
fcis-30018	80	15	the	the	DET
fcis-30018	80	16	number	number	NOUN
fcis-30018	80	17	of	of	ADP
fcis-30018	80	18	channels	channel	NOUN
fcis-30018	80	19	is	be	AUX
fcis-30018	80	20	64	64	NUM
fcis-30018	80	21	,	,	PUNCT
fcis-30018	80	22	128	128	NUM
fcis-30018	80	23	and	and	CCONJ
fcis-30018	80	24	128	128	NUM
fcis-30018	80	25	to	to	PART
fcis-30018	80	26	calculate	calculate	VERB
fcis-30018	80	27	the	the	DET
fcis-30018	80	28	matching	matching	NOUN
fcis-30018	80	29	cost	cost	NOUN
fcis-30018	80	30	of	of	ADP
fcis-30018	80	31	pixels	pixel	NOUN
fcis-30018	80	32	,	,	PUNCT
fcis-30018	80	33	and	and	CCONJ
fcis-30018	80	34	the	the	DET
fcis-30018	80	35	connection	connection	NOUN
fcis-30018	80	36	and	and	CCONJ
fcis-30018	80	37	grouping	group	VERB
fcis-30018	80	38	operations	operation	NOUN
fcis-30018	80	39	are	be	AUX
fcis-30018	80	40	carried	carry	VERB
fcis-30018	80	41	out	out	ADP
fcis-30018	80	42	at	at	ADP
fcis-30018	80	43	the	the	DET
fcis-30018	80	44	same	same	ADJ
fcis-30018	80	45	time	time	NOUN
fcis-30018	80	46	.	.	PUNCT
fcis-30018	81	1	to	to	PART
fcis-30018	81	2	deal	deal	VERB
fcis-30018	81	3	with	with	ADP
fcis-30018	81	4	the	the	DET
fcis-30018	81	5	matching	matching	NOUN
fcis-30018	81	6	problem	problem	NOUN
fcis-30018	81	7	of	of	ADP
fcis-30018	81	8	different	different	ADJ
fcis-30018	81	9	disparity	disparity	NOUN
fcis-30018	81	10	and	and	CCONJ
fcis-30018	81	11	texture	texture	ADJ
fcis-30018	81	12	regions	region	NOUN
fcis-30018	81	13	,	,	PUNCT
fcis-30018	81	14	for	for	ADP
fcis-30018	81	15	each	each	DET
fcis-30018	81	16	pixel	pixel	NOUN
fcis-30018	81	17	,	,	PUNCT
fcis-30018	81	18	the	the	DET
fcis-30018	81	19	dilated	dilated	ADJ
fcis-30018	81	20	convolution	convolution	NOUN
fcis-30018	81	21	kernel	kernel	NOUN
fcis-30018	81	22	that	that	PRON
fcis-30018	81	23	selects	select	VERB
fcis-30018	81	24	the	the	DET
fcis-30018	81	25	expansion	expansion	NOUN
fcis-30018	81	26	rate	rate	NOUN
fcis-30018	81	27	related	relate	VERB
fcis-30018	81	28	to	to	ADP
fcis-30018	81	29	the	the	DET
fcis-30018	81	30	feature	feature	NOUN
fcis-30018	81	31	map	map	NOUN
fcis-30018	81	32	hierarchy	hierarchy	NOUN
fcis-30018	81	33	is	be	AUX
fcis-30018	81	34	used	use	VERB
fcis-30018	81	35	to	to	PART
fcis-30018	81	36	calculate	calculate	VERB
fcis-30018	81	37	the	the	DET
fcis-30018	81	38	matching	matching	NOUN
fcis-30018	81	39	cost	cost	NOUN
fcis-30018	81	40	,	,	PUNCT
fcis-30018	81	41	to	to	PART
fcis-30018	81	42	ensure	ensure	VERB
fcis-30018	81	43	that	that	SCONJ
fcis-30018	81	44	the	the	DET
fcis-30018	81	45	correct	correct	ADJ
fcis-30018	81	46	number	number	NOUN
fcis-30018	81	47	of	of	ADP
fcis-30018	81	48	pixels	pixel	NOUN
fcis-30018	81	49	is	be	AUX
fcis-30018	81	50	used	use	VERB
fcis-30018	81	51	when	when	SCONJ
fcis-30018	81	52	calculating	calculate	VERB
fcis-30018	81	53	the	the	DET
fcis-30018	81	54	matching	matching	NOUN
fcis-30018	81	55	cost	cost	NOUN
fcis-30018	81	56	of	of	ADP
fcis-30018	81	57	the	the	DET
fcis-30018	81	58	multi	multi	ADJ
fcis-30018	81	59	-	-	ADJ
fcis-30018	81	60	scale	scale	ADJ
fcis-30018	81	61	hierarchical	hierarchical	ADJ
fcis-30018	81	62	feature	feature	NOUN
fcis-30018	81	63	map	map	NOUN
fcis-30018	81	64	.	.	PUNCT
fcis-30018	82	1	at	at	ADP
fcis-30018	82	2	the	the	DET
fcis-30018	82	3	same	same	ADJ
fcis-30018	82	4	time	time	NOUN
fcis-30018	82	5	,	,	PUNCT
fcis-30018	82	6	the	the	DET
fcis-30018	82	7	weights	weight	NOUN
fcis-30018	82	8	in	in	ADP
fcis-30018	82	9	the	the	DET
fcis-30018	82	10	convolutional	convolutional	ADJ
fcis-30018	82	11	kernel	kernel	NOUN
fcis-30018	82	12	have	have	VERB
fcis-30018	82	13	adaptive	adaptive	ADJ
fcis-30018	82	14	learning	learning	NOUN
fcis-30018	82	15	,	,	PUNCT
fcis-30018	82	16	and	and	CCONJ
fcis-30018	82	17	the	the	DET
fcis-30018	82	18	matching	match	VERB
fcis-30018	82	19	cost	cost	NOUN
fcis-30018	82	20	of	of	ADP
fcis-30018	82	21	some	some	DET
fcis-30018	82	22	pixels	pixel	NOUN
fcis-30018	82	23	is	be	AUX
fcis-30018	82	24	calculated	calculate	VERB
fcis-30018	82	25	by	by	ADP
fcis-30018	82	26	weighting	weight	VERB
fcis-30018	82	27	.	.	PUNCT
fcis-30018	83	1	finally	finally	ADV
fcis-30018	83	2	,	,	PUNCT
fcis-30018	83	3	the	the	DET
fcis-30018	83	4	matching	matching	NOUN
fcis-30018	83	5	costs	cost	NOUN
fcis-30018	83	6	of	of	ADP
fcis-30018	83	7	the	the	DET
fcis-30018	83	8	three	three	NUM
fcis-30018	83	9	levels	level	NOUN
fcis-30018	83	10	are	be	AUX
fcis-30018	83	11	spliced	splice	VERB
fcis-30018	83	12	into	into	ADP
fcis-30018	83	13	a	a	DET
fcis-30018	83	14	multi	multi	ADJ
fcis-30018	83	15	-	-	ADJ
fcis-30018	83	16	level	level	ADJ
fcis-30018	83	17	local	local	ADJ
fcis-30018	83	18	matching	matching	NOUN
fcis-30018	83	19	volume	volume	NOUN
fcis-30018	83	20	,	,	PUNCT
fcis-30018	83	21	such	such	ADJ
fcis-30018	83	22	as	as	ADP
fcis-30018	83	23	equations	equation	NOUN
fcis-30018	83	24	4	4	NUM
fcis-30018	83	25	and	and	CCONJ
fcis-30018	83	26	5	5	NUM
fcis-30018	83	27	.	.	PUNCT
fcis-30018	84	1	c	c	NOUN
fcis-30018	84	2	g	g	PROPN
fcis-30018	84	3	,	,	PUNCT
fcis-30018	84	4	d	d	NOUN
fcis-30018	84	5	,	,	PUNCT
fcis-30018	84	6	x	x	X
fcis-30018	84	7	,	,	PUNCT
fcis-30018	84	8	y	y	PROPN
fcis-30018	84	9	/	/	SYM
fcis-30018	84	10	∑	∑	PROPN
fcis-30018	84	11	ω	ω	PROPN
fcis-30018	84	12	,	,	PUNCT
fcis-30018	84	13	∈	∈	PROPN
fcis-30018	84	14	⋅	⋅	PROPN
fcis-30018	84	15	c	c	PROPN
fcis-30018	84	16	d	d	NOUN
fcis-30018	84	17	,	,	PUNCT
fcis-30018	84	18	x	x	X
fcis-30018	84	19	,	,	PUNCT
fcis-30018	84	20	y	y	PROPN
fcis-30018	84	21	c	c	PROPN
fcis-30018	84	22	d	d	NOUN
fcis-30018	84	23	,	,	PUNCT
fcis-30018	84	24	x	x	X
fcis-30018	84	25	,	,	PUNCT
fcis-30018	84	26	y	y	PROPN
fcis-30018	84	27	f	f	PROPN
fcis-30018	84	28	x	x	PROPN
fcis-30018	84	29	i	i	PROPN
fcis-30018	84	30	,	,	PUNCT
fcis-30018	84	31	y	y	PROPN
fcis-30018	84	32	j	j	PROPN
fcis-30018	84	33	,	,	PUNCT
fcis-30018	84	34	f	f	PROPN
fcis-30018	84	35	x	x	VERB
fcis-30018	85	1	i	i	PRON
fcis-30018	85	2	d	d	PROPN
fcis-30018	85	3	,	,	PUNCT
fcis-30018	85	4	y	y	PROPN
fcis-30018	85	5	j	j	PROPN
fcis-30018	85	6	(	(	PUNCT
fcis-30018	85	7	4	4	NUM
fcis-30018	85	8	)	)	PUNCT
fcis-30018	85	9	c	c	NOUN
fcis-30018	85	10	concat	concat	PROPN
fcis-30018	85	11	c	c	PROPN
fcis-30018	85	12	,	,	PUNCT
fcis-30018	85	13	c	c	PROPN
fcis-30018	85	14	,	,	PUNCT
fcis-30018	86	1	c	c	X
fcis-30018	86	2	(	(	PUNCT
fcis-30018	86	3	5	5	NUM
fcis-30018	86	4	)	)	PUNCT
fcis-30018	86	5	3.3.2	3.3.2	NUM
fcis-30018	86	6	.	.	PUNCT
fcis-30018	87	1	filtered	filter	VERB
fcis-30018	87	2	attention	attention	NOUN
fcis-30018	87	3	weights	weight	NOUN
fcis-30018	87	4	in	in	ADP
fcis-30018	87	5	order	order	NOUN
fcis-30018	87	6	to	to	PART
fcis-30018	87	7	further	far	ADV
fcis-30018	87	8	optimize	optimize	VERB
fcis-30018	87	9	the	the	DET
fcis-30018	87	10	processing	processing	NOUN
fcis-30018	87	11	of	of	ADP
fcis-30018	87	12	these	these	DET
fcis-30018	87	13	matching	matching	NOUN
fcis-30018	87	14	costs	cost	NOUN
fcis-30018	87	15	,	,	PUNCT
fcis-30018	87	16	3d	3d	NUM
fcis-30018	87	17	convolution	convolution	NOUN
fcis-30018	87	18	,	,	PUNCT
fcis-30018	87	19	3d	3d	NUM
fcis-30018	87	20	hourglass	hourglass	NOUN
fcis-30018	87	21	network	network	NOUN
fcis-30018	87	22	is	be	AUX
fcis-30018	87	23	used	use	VERB
fcis-30018	87	24	for	for	ADP
fcis-30018	87	25	regularization	regularization	NOUN
fcis-30018	87	26	,	,	PUNCT
fcis-30018	87	27	and	and	CCONJ
fcis-30018	87	28	the	the	DET
fcis-30018	87	29	number	number	NOUN
fcis-30018	87	30	of	of	ADP
fcis-30018	87	31	channels	channel	NOUN
fcis-30018	87	32	is	be	AUX
fcis-30018	87	33	compressed	compress	VERB
fcis-30018	87	34	by	by	ADP
fcis-30018	87	35	another	another	DET
fcis-30018	87	36	convolutional	convolutional	ADJ
fcis-30018	87	37	layer	layer	NOUN
fcis-30018	87	38	,	,	PUNCT
fcis-30018	87	39	and	and	CCONJ
fcis-30018	87	40	finally	finally	ADV
fcis-30018	87	41	the	the	DET
fcis-30018	87	42	attention	attention	NOUN
fcis-30018	87	43	weight	weight	NOUN
fcis-30018	87	44	a	a	PRON
fcis-30018	87	45	is	be	AUX
fcis-30018	87	46	generated	generate	VERB
fcis-30018	87	47	.	.	PUNCT
fcis-30018	88	1	subsequently	subsequently	ADV
fcis-30018	88	2	,	,	PUNCT
fcis-30018	88	3	the	the	DET
fcis-30018	88	4	weight	weight	NOUN
fcis-30018	88	5	a	a	PRON
fcis-30018	88	6	is	be	AUX
fcis-30018	88	7	used	use	VERB
fcis-30018	88	8	to	to	PART
fcis-30018	88	9	eliminate	eliminate	VERB
fcis-30018	88	10	the	the	DET
fcis-30018	88	11	redundant	redundant	ADJ
fcis-30018	88	12	information	information	NOUN
fcis-30018	88	13	in	in	ADP
fcis-30018	88	14	the	the	DET
fcis-30018	88	15	initial	initial	ADJ
fcis-30018	88	16	splicing	splicing	NOUN
fcis-30018	88	17	volume	volume	NOUN
fcis-30018	88	18	,	,	PUNCT
fcis-30018	88	19	so	so	SCONJ
fcis-30018	88	20	as	as	SCONJ
fcis-30018	88	21	to	to	PART
fcis-30018	88	22	obtain	obtain	VERB
fcis-30018	88	23	the	the	DET
fcis-30018	88	24	attention	attention	NOUN
fcis-30018	88	25	stitching	stitching	NOUN
fcis-30018	88	26	volume	volume	NOUN
fcis-30018	88	27	with	with	ADP
fcis-30018	88	28	stronger	strong	ADJ
fcis-30018	88	29	representation	representation	NOUN
fcis-30018	88	30	ability	ability	NOUN
fcis-30018	88	31	.	.	PUNCT
fcis-30018	89	1	where	where	SCONJ
fcis-30018	89	2	the	the	DET
fcis-30018	89	3	attention	attention	NOUN
fcis-30018	89	4	splicing	splicing	NOUN
fcis-30018	89	5	volume	volume	NOUN
fcis-30018	89	6	is	be	AUX
fcis-30018	89	7	as	as	SCONJ
fcis-30018	89	8	shown	show	VERB
fcis-30018	89	9	in	in	ADP
fcis-30018	89	10	equation	equation	NOUN
fcis-30018	89	11	6	6	NUM
fcis-30018	89	12	.	.	PUNCT
fcis-30018	90	1	c	c	NOUN
fcis-30018	91	1	i	i	PRON
fcis-30018	91	2	a⊙	a⊙	VERB
fcis-30018	91	3	c	c	PROPN
fcis-30018	91	4	i	i	PRON
fcis-30018	91	5	(	(	PUNCT
fcis-30018	91	6	6	6	NUM
fcis-30018	91	7	)	)	SYM
fcis-30018	91	8	4	4	NUM
fcis-30018	91	9	.	.	PUNCT
fcis-30018	92	1	experimental	experimental	ADJ
fcis-30018	92	2	analyses	analysis	NOUN
fcis-30018	92	3	4.1	4.1	NUM
fcis-30018	92	4	.	.	PUNCT
fcis-30018	93	1	quantitative	quantitative	ADJ
fcis-30018	93	2	analysis	analysis	NOUN
fcis-30018	93	3	4.1.1	4.1.1	NUM
fcis-30018	93	4	.	.	PUNCT
fcis-30018	94	1	ablation	ablation	NOUN
fcis-30018	94	2	experiments	experiment	NOUN
fcis-30018	94	3	on	on	ADP
fcis-30018	94	4	sceneflow	sceneflow	ADJ
fcis-30018	94	5	datasets	dataset	NOUN
fcis-30018	94	6	table	table	NOUN
fcis-30018	94	7	1	1	NUM
fcis-30018	94	8	.	.	PUNCT
fcis-30018	94	9	results	result	NOUN
fcis-30018	94	10	of	of	ADP
fcis-30018	94	11	ablation	ablation	NOUN
fcis-30018	94	12	experiments	experiment	NOUN
fcis-30018	94	13	at	at	ADP
fcis-30018	94	14	sceneflow	sceneflow	NOUN
fcis-30018	94	15	in	in	ADP
fcis-30018	94	16	the	the	DET
fcis-30018	94	17	test	test	NOUN
fcis-30018	94	18	set	set	VERB
fcis-30018	94	19	method	method	NOUN
fcis-30018	94	20	s2attention	s2attention	PROPN
fcis-30018	94	21	sa	sa	PROPN
fcis-30018	94	22	fm	fm	PROPN
fcis-30018	94	23	ma	ma	PROPN
fcis-30018	94	24	pm	pm	PROPN
fcis-30018	94	25	>	>	X
fcis-30018	94	26	1px/%	1px/%	NUM
fcis-30018	94	27	>	>	X
fcis-30018	94	28	2px/%	2px/%	NUM
fcis-30018	94	29	>	>	PUNCT
fcis-30018	94	30	3px/%	3px/%	NUM
fcis-30018	94	31	d1/%	d1/%	PROPN
fcis-30018	94	32	epe	epe	PROPN
fcis-30018	94	33	(	(	PUNCT
fcis-30018	94	34	px	px	PROPN
fcis-30018	94	35	)	)	PUNCT
fcis-30018	94	36	gwcnet	gwcnet	NOUN
fcis-30018	94	37	8.03	8.03	NUM
fcis-30018	94	38	4.47	4.47	NUM
fcis-30018	94	39	3.30	3.30	NUM
fcis-30018	94	40	2.71	2.71	NUM
fcis-30018	94	41	0.76	0.76	NUM
fcis-30018	94	42	base	base	NOUN
fcis-30018	94	43	-	-	PUNCT
fcis-30018	94	44	s2a	s2a	NOUN
fcis-30018	94	45	✔	✔	NOUN
fcis-30018	94	46	7.75	7.75	NUM
fcis-30018	94	47	4.33	4.33	NUM
fcis-30018	94	48	3.12	3.12	NUM
fcis-30018	94	49	2.52	2.52	NUM
fcis-30018	94	50	0.73	0.73	NUM
fcis-30018	94	51	base	base	NOUN
fcis-30018	94	52	-	-	PUNCT
fcis-30018	94	53	s2a	s2a	NOUN
fcis-30018	94	54	-	-	PUNCT
fcis-30018	94	55	safm	safm	NOUN
fcis-30018	94	56	✔	✔	NOUN
fcis-30018	94	57	✔	✔	VERB
fcis-30018	94	58	7.66	7.66	NUM
fcis-30018	94	59	4.21	4.21	NUM
fcis-30018	94	60	3.09	3.09	NUM
fcis-30018	94	61	2.47	2.47	NUM
fcis-30018	94	62	0.70	0.70	NUM
fcis-30018	94	63	base	base	NOUN
fcis-30018	94	64	-	-	PUNCT
fcis-30018	94	65	s2a	s2a	NOUN
fcis-30018	94	66	-	-	PUNCT
fcis-30018	94	67	safm	safm	NOUN
fcis-30018	94	68	-	-	PUNCT
fcis-30018	94	69	mapm	mapm	NOUN
fcis-30018	94	70	✔	✔	NOUN
fcis-30018	94	71	✔	✔	NOUN
fcis-30018	94	72	✔	✔	VERB
fcis-30018	94	73	7.09	7.09	NUM
fcis-30018	94	74	3.96	3.96	NUM
fcis-30018	94	75	2.85	2.85	NUM
fcis-30018	94	76	2.30	2.30	NUM
fcis-30018	94	77	0.65	0.65	NUM
fcis-30018	94	78	our	our	PRON
fcis-30018	94	79	proposed	propose	VERB
fcis-30018	94	80	method	method	NOUN
fcis-30018	94	81	(	(	PUNCT
fcis-30018	94	82	base	base	NOUN
fcis-30018	94	83	-	-	PUNCT
fcis-30018	94	84	s2a	s2a	NOUN
fcis-30018	94	85	-	-	PUNCT
fcis-30018	94	86	safm	safm	NOUN
fcis-30018	94	87	-	-	PUNCT
fcis-30018	94	88	mapm	mapm	NOUN
fcis-30018	94	89	)	)	PUNCT
fcis-30018	94	90	demonstrates	demonstrate	VERB
fcis-30018	94	91	significant	significant	ADJ
fcis-30018	94	92	superiority	superiority	NOUN
fcis-30018	94	93	in	in	ADP
fcis-30018	94	94	stereo	stereo	NOUN
fcis-30018	94	95	matching	matching	NOUN
fcis-30018	94	96	tasks	task	NOUN
fcis-30018	94	97	on	on	ADP
fcis-30018	94	98	the	the	DET
fcis-30018	94	99	sceneflow	sceneflow	NOUN
fcis-30018	94	100	dataset	dataset	VERB
fcis-30018	94	101	by	by	ADP
fcis-30018	94	102	integrating	integrate	VERB
fcis-30018	94	103	three	three	NUM
fcis-30018	94	104	modules	module	NOUN
fcis-30018	94	105	:	:	PUNCT
fcis-30018	94	106	s2attention	s2attention	NOUN
fcis-30018	94	107	,	,	PUNCT
fcis-30018	94	108	safm	safm	NOUN
fcis-30018	94	109	,	,	PUNCT
fcis-30018	94	110	and	and	CCONJ
fcis-30018	94	111	mapm	mapm	NOUN
fcis-30018	94	112	.	.	PUNCT
fcis-30018	95	1	as	as	ADP
fcis-30018	95	2	in	in	ADP
fcis-30018	95	3	table	table	NOUN
fcis-30018	95	4	1	1	NUM
fcis-30018	95	5	compared	compare	VERB
fcis-30018	95	6	to	to	ADP
fcis-30018	95	7	the	the	DET
fcis-30018	95	8	baseline	baseline	PROPN
fcis-30018	95	9	model	model	NOUN
fcis-30018	95	10	gwcnet	gwcnet	NOUN
fcis-30018	95	11	,	,	PUNCT
fcis-30018	95	12	our	our	PRON
fcis-30018	95	13	method	method	NOUN
fcis-30018	95	14	achieves	achieve	VERB
fcis-30018	95	15	notable	notable	ADJ
fcis-30018	95	16	reductions	reduction	NOUN
fcis-30018	95	17	in	in	ADP
fcis-30018	95	18	the	the	DET
fcis-30018	95	19	mismatch	mismatch	NOUN
fcis-30018	95	20	rate	rate	NOUN
fcis-30018	95	21	(	(	PUNCT
fcis-30018	95	22	>	>	X
fcis-30018	95	23	1px/%	1px/%	NUM
fcis-30018	95	24	,	,	PUNCT
fcis-30018	95	25	d1/%	d1/%	PROPN
fcis-30018	95	26	)	)	PUNCT
fcis-30018	95	27	and	and	CCONJ
fcis-30018	95	28	the	the	DET
fcis-30018	95	29	average	average	ADJ
fcis-30018	95	30	end	end	NOUN
fcis-30018	95	31	-	-	PUNCT
fcis-30018	95	32	point	point	NOUN
fcis-30018	95	33	error	error	NOUN
fcis-30018	95	34	(	(	PUNCT
fcis-30018	95	35	epe	epe	PROPN
fcis-30018	95	36	(	(	PUNCT
fcis-30018	95	37	px	px	PROPN
fcis-30018	95	38	)	)	PUNCT
fcis-30018	95	39	)	)	PUNCT
fcis-30018	95	40	,	,	PUNCT
fcis-30018	95	41	with	with	ADP
fcis-30018	95	42	improvements	improvement	NOUN
fcis-30018	95	43	of	of	ADP
fcis-30018	95	44	0.94	0.94	NUM
fcis-30018	95	45	%	%	NOUN
fcis-30018	95	46	and	and	CCONJ
fcis-30018	95	47	0.11	0.11	NUM
fcis-30018	95	48	,	,	PUNCT
fcis-30018	95	49	respectively	respectively	ADV
fcis-30018	95	50	.	.	PUNCT
fcis-30018	96	1	s2attention	s2attention	NOUN
fcis-30018	96	2	enhances	enhance	VERB
fcis-30018	96	3	the	the	DET
fcis-30018	96	4	features	feature	NOUN
fcis-30018	96	5	of	of	ADP
fcis-30018	96	6	critical	critical	ADJ
fcis-30018	96	7	regions	region	NOUN
fcis-30018	96	8	,	,	PUNCT
fcis-30018	96	9	safm	safm	NOUN
fcis-30018	96	10	improves	improve	VERB
fcis-30018	96	11	boundary	boundary	ADJ
fcis-30018	96	12	clarity	clarity	NOUN
fcis-30018	96	13	,	,	PUNCT
fcis-30018	96	14	and	and	CCONJ
fcis-30018	96	15	mapm	mapm	NOUN
fcis-30018	96	16	reduces	reduce	VERB
fcis-30018	96	17	mismatches	mismatch	NOUN
fcis-30018	96	18	and	and	CCONJ
fcis-30018	96	19	optimizes	optimize	VERB
fcis-30018	96	20	computational	computational	ADJ
fcis-30018	96	21	efficiency	efficiency	NOUN
fcis-30018	96	22	.	.	PUNCT
fcis-30018	97	1	the	the	DET
fcis-30018	97	2	synergistic	synergistic	ADJ
fcis-30018	97	3	effect	effect	NOUN
fcis-30018	97	4	of	of	ADP
fcis-30018	97	5	these	these	DET
fcis-30018	97	6	three	three	NUM
fcis-30018	97	7	modules	module	NOUN
fcis-30018	97	8	significantly	significantly	ADV
fcis-30018	97	9	enhances	enhance	VERB
fcis-30018	97	10	matching	matching	NOUN
fcis-30018	97	11	accuracy	accuracy	NOUN
fcis-30018	97	12	and	and	CCONJ
fcis-30018	97	13	robustness	robustness	NOUN
fcis-30018	97	14	,	,	PUNCT
fcis-30018	97	15	providing	provide	VERB
fcis-30018	97	16	a	a	DET
fcis-30018	97	17	more	more	ADV
fcis-30018	97	18	stable	stable	ADJ
fcis-30018	97	19	solution	solution	NOUN
fcis-30018	97	20	for	for	ADP
fcis-30018	97	21	applications	application	NOUN
fcis-30018	97	22	in	in	ADP
fcis-30018	97	23	the	the	DET
fcis-30018	97	24	public	public	ADJ
fcis-30018	97	25	security	security	NOUN
fcis-30018	97	26	sector	sector	NOUN
fcis-30018	97	27	.	.	PUNCT
fcis-30018	98	1	4.1.2	4.1.2	X
fcis-30018	98	2	.	.	PUNCT
fcis-30018	98	3	kitti	kitti	PROPN
fcis-30018	98	4	2012	2012	NUM
fcis-30018	98	5	experiments	experiment	NOUN
fcis-30018	98	6	in	in	ADP
fcis-30018	98	7	table	table	NOUN
fcis-30018	98	8	2	2	NUM
fcis-30018	98	9	,	,	PUNCT
fcis-30018	98	10	our	our	PRON
fcis-30018	98	11	proposed	propose	VERB
fcis-30018	98	12	method	method	NOUN
fcis-30018	98	13	(	(	PUNCT
fcis-30018	98	14	ours	ours	PRON
fcis-30018	98	15	)	)	PUNCT
fcis-30018	98	16	demonstrates	demonstrate	VERB
fcis-30018	98	17	significant	significant	ADJ
fcis-30018	98	18	superiority	superiority	NOUN
fcis-30018	98	19	in	in	ADP
fcis-30018	98	20	the	the	DET
fcis-30018	98	21	stereo	stereo	PROPN
fcis-30018	98	22	matching	matching	PROPN
fcis-30018	98	23	task	task	PROPN
fcis-30018	98	24	.	.	PUNCT
fcis-30018	99	1	compared	compare	VERB
fcis-30018	99	2	to	to	ADP
fcis-30018	99	3	other	other	ADJ
fcis-30018	99	4	state	state	NOUN
fcis-30018	99	5	-	-	PUNCT
fcis-30018	99	6	of	of	ADP
fcis-30018	99	7	-	-	PUNCT
fcis-30018	99	8	the	the	DET
fcis-30018	99	9	-	-	PUNCT
fcis-30018	99	10	art	art	NOUN
fcis-30018	99	11	methods	method	NOUN
fcis-30018	99	12	,	,	PUNCT
fcis-30018	99	13	ours	ours	PRON
fcis-30018	99	14	reduces	reduce	VERB
fcis-30018	99	15	error	error	NOUN
fcis-30018	99	16	rates	rate	NOUN
fcis-30018	99	17	across	across	ADP
fcis-30018	99	18	multiple	multiple	ADJ
fcis-30018	99	19	metrics	metric	NOUN
fcis-30018	99	20	,	,	PUNCT
fcis-30018	99	21	including	include	VERB
fcis-30018	99	22	>	>	X
fcis-30018	99	23	2px	2px	ADJ
fcis-30018	99	24	/	/	SYM
fcis-30018	99	25	%	%	INTJ
fcis-30018	99	26	,	,	PUNCT
fcis-30018	99	27	>	>	X
fcis-30018	99	28	3px/%	3px/%	NUM
fcis-30018	99	29	,	,	PUNCT
fcis-30018	99	30	and	and	CCONJ
fcis-30018	99	31	>	>	X
fcis-30018	99	32	5px/%	5px/%	NUM
fcis-30018	99	33	.	.	PUNCT
fcis-30018	100	1	specifically	specifically	ADV
fcis-30018	100	2	,	,	PUNCT
fcis-30018	100	3	in	in	ADP
fcis-30018	100	4	the	the	DET
fcis-30018	100	5	noc	noc	NOUN
fcis-30018	100	6	and	and	CCONJ
fcis-30018	100	7	all	all	DET
fcis-30018	100	8	scenarios	scenario	NOUN
fcis-30018	100	9	,	,	PUNCT
fcis-30018	100	10	ours	ours	PRON
fcis-30018	100	11	achieves	achieve	VERB
fcis-30018	100	12	optimized	optimize	VERB
fcis-30018	100	13	performance	performance	NOUN
fcis-30018	100	14	with	with	ADP
fcis-30018	100	15	error	error	NOUN
fcis-30018	100	16	rates	rate	NOUN
fcis-30018	100	17	of	of	ADP
fcis-30018	100	18	2.11	2.11	NUM
fcis-30018	100	19	%	%	NOUN
fcis-30018	100	20	and	and	CCONJ
fcis-30018	100	21	2.59	2.59	NUM
fcis-30018	100	22	%	%	NOUN
fcis-30018	100	23	,	,	PUNCT
fcis-30018	100	24	and	and	CCONJ
fcis-30018	100	25	1.25	1.25	NUM
fcis-30018	100	26	%	%	NOUN
fcis-30018	100	27	and	and	CCONJ
fcis-30018	100	28	1.64	1.64	NUM
fcis-30018	100	29	%	%	NOUN
fcis-30018	100	30	,	,	PUNCT
fcis-30018	100	31	respectively	respectively	ADV
fcis-30018	100	32	,	,	PUNCT
fcis-30018	100	33	showcasing	showcase	VERB
fcis-30018	100	34	higher	high	ADJ
fcis-30018	100	35	matching	matching	NOUN
fcis-30018	100	36	accuracy	accuracy	NOUN
fcis-30018	100	37	.	.	PUNCT
fcis-30018	101	1	meanwhile	meanwhile	ADV
fcis-30018	101	2	,	,	PUNCT
fcis-30018	101	3	the	the	DET
fcis-30018	101	4	mean	mean	NOUN
fcis-30018	101	5	error	error	NOUN
fcis-30018	101	6	(	(	PUNCT
fcis-30018	101	7	px	px	NOUN
fcis-30018	101	8	)	)	PUNCT
fcis-30018	101	9	remains	remain	VERB
fcis-30018	101	10	below	below	ADP
fcis-30018	101	11	0.5	0.5	NUM
fcis-30018	101	12	pixels	pixel	NOUN
fcis-30018	101	13	,	,	PUNCT
fcis-30018	101	14	on	on	ADP
fcis-30018	101	15	par	par	NOUN
fcis-30018	101	16	with	with	ADP
fcis-30018	101	17	the	the	DET
fcis-30018	101	18	current	current	ADJ
fcis-30018	101	19	best	good	ADJ
fcis-30018	101	20	methods	method	NOUN
fcis-30018	101	21	.	.	PUNCT
fcis-30018	102	1	furthermore	furthermore	ADV
fcis-30018	102	2	,	,	PUNCT
fcis-30018	102	3	our	our	PRON
fcis-30018	102	4	method	method	NOUN
fcis-30018	102	5	requires	require	VERB
fcis-30018	102	6	only	only	ADV
fcis-30018	102	7	0.30	0.30	NUM
fcis-30018	102	8	seconds	second	NOUN
fcis-30018	102	9	for	for	ADP
fcis-30018	102	10	execution	execution	NOUN
fcis-30018	102	11	,	,	PUNCT
fcis-30018	102	12	highlighting	highlight	VERB
fcis-30018	102	13	its	its	PRON
fcis-30018	102	14	efficiency	efficiency	NOUN
fcis-30018	102	15	advantage	advantage	NOUN
fcis-30018	102	16	.	.	PUNCT
fcis-30018	103	1	overall	overall	ADV
fcis-30018	103	2	,	,	PUNCT
fcis-30018	103	3	ours	ours	PRON
fcis-30018	103	4	excels	excel	NOUN
fcis-30018	103	5	in	in	ADP
fcis-30018	103	6	terms	term	NOUN
fcis-30018	103	7	of	of	ADP
fcis-30018	103	8	accuracy	accuracy	NOUN
fcis-30018	103	9	,	,	PUNCT
fcis-30018	103	10	robustness	robustness	NOUN
fcis-30018	103	11	,	,	PUNCT
fcis-30018	103	12	and	and	CCONJ
fcis-30018	103	13	efficiency	efficiency	NOUN
fcis-30018	103	14	,	,	PUNCT
fcis-30018	103	15	providing	provide	VERB
fcis-30018	103	16	a	a	DET
fcis-30018	103	17	superior	superior	ADJ
fcis-30018	103	18	solution	solution	NOUN
fcis-30018	103	19	for	for	ADP
fcis-30018	103	20	stereo	stereo	NOUN
fcis-30018	103	21	matching	matching	NOUN
fcis-30018	103	22	tasks	task	NOUN
fcis-30018	103	23	.	.	PUNCT
fcis-30018	104	1	from	from	ADP
fcis-30018	104	2	the	the	DET
fcis-30018	104	3	data	datum	NOUN
fcis-30018	104	4	in	in	ADP
fcis-30018	104	5	table	table	NOUN
fcis-30018	104	6	3	3	NUM
fcis-30018	104	7	,	,	PUNCT
fcis-30018	104	8	it	it	PRON
fcis-30018	104	9	can	can	AUX
fcis-30018	104	10	be	be	AUX
fcis-30018	104	11	seen	see	VERB
fcis-30018	104	12	that	that	SCONJ
fcis-30018	104	13	the	the	DET
fcis-30018	104	14	error	error	NOUN
fcis-30018	104	15	index	index	NOUN
fcis-30018	104	16	of	of	ADP
fcis-30018	104	17	the	the	DET
fcis-30018	104	18	proposed	propose	VERB
fcis-30018	104	19	method	method	NOUN
fcis-30018	104	20	in	in	ADP
fcis-30018	104	21	the	the	DET
fcis-30018	104	22	kitti2015	kitti2015	PROPN
fcis-30018	104	23	dataset	dataset	VERB
fcis-30018	104	24	under	under	ADP
fcis-30018	104	25	all	all	DET
fcis-30018	104	26	pixels	pixel	NOUN
fcis-30018	104	27	and	and	CCONJ
fcis-30018	104	28	noc	noc	NOUN
fcis-30018	104	29	pixels	pixel	NOUN
fcis-30018	104	30	reaches	reach	VERB
fcis-30018	104	31	the	the	DET
fcis-30018	104	32	lowest	low	ADJ
fcis-30018	104	33	value	value	NOUN
fcis-30018	104	34	,	,	PUNCT
fcis-30018	104	35	which	which	PRON
fcis-30018	104	36	is	be	AUX
fcis-30018	104	37	1.98	1.98	NUM
fcis-30018	104	38	%	%	NOUN
fcis-30018	104	39	for	for	ADP
fcis-30018	104	40	d1	d1	NOUN
fcis-30018	104	41	-	-	PUNCT
fcis-30018	104	42	all	all	PRON
fcis-30018	104	43	(	(	PUNCT
fcis-30018	104	44	all	all	DET
fcis-30018	104	45	pixels	pixel	NOUN
fcis-30018	104	46	)	)	PUNCT
fcis-30018	104	47	and	and	CCONJ
fcis-30018	104	48	1.81	1.81	NUM
fcis-30018	104	49	%	%	NOUN
fcis-30018	104	50	for	for	ADP
fcis-30018	104	51	d1	d1	NOUN
fcis-30018	104	52	-	-	PUNCT
fcis-30018	104	53	all	all	PRON
fcis-30018	104	54	(	(	PUNCT
fcis-30018	104	55	noc	noc	PROPN
fcis-30018	104	56	pixels	pixels	PROPN
fcis-30018	104	57	)	)	PUNCT
fcis-30018	104	58	.	.	PUNCT
fcis-30018	105	1	at	at	ADP
fcis-30018	105	2	the	the	DET
fcis-30018	105	3	same	same	ADJ
fcis-30018	105	4	time	time	NOUN
fcis-30018	105	5	,	,	PUNCT
fcis-30018	105	6	the	the	DET
fcis-30018	105	7	performance	performance	NOUN
fcis-30018	105	8	in	in	ADP
fcis-30018	105	9	the	the	DET
fcis-30018	105	10	background	background	NOUN
fcis-30018	105	11	(	(	PUNCT
fcis-30018	105	12	d1	d1	PROPN
fcis-30018	105	13	-	-	PUNCT
fcis-30018	105	14	bg	bg	NOUN
fcis-30018	105	15	)	)	PUNCT
fcis-30018	105	16	and	and	CCONJ
fcis-30018	105	17	foreground	foreground	NOUN
fcis-30018	105	18	(	(	PUNCT
fcis-30018	105	19	d1	d1	PROPN
fcis-30018	105	20	-	-	PUNCT
fcis-30018	105	21	fg	fg	NOUN
fcis-30018	105	22	)	)	PUNCT
fcis-30018	105	23	large	large	ADJ
fcis-30018	105	24	areas	area	NOUN
fcis-30018	105	25	is	be	AUX
fcis-30018	105	26	also	also	ADV
fcis-30018	105	27	optimized	optimize	VERB
fcis-30018	105	28	to	to	ADP
fcis-30018	105	29	1.50	1.50	NUM
fcis-30018	105	30	%	%	NOUN
fcis-30018	105	31	and	and	CCONJ
fcis-30018	105	32	3.77	3.77	NUM
fcis-30018	105	33	%	%	NOUN
fcis-30018	105	34	,	,	PUNCT
fcis-30018	105	35	respectively	respectively	ADV
fcis-30018	105	36	,	,	PUNCT
fcis-30018	105	37	which	which	PRON
fcis-30018	105	38	proves	prove	VERB
fcis-30018	105	39	that	that	SCONJ
fcis-30018	105	40	it	it	PRON
fcis-30018	105	41	matches	match	VERB
fcis-30018	105	42	more	more	ADJ
fcis-30018	105	43	52	52	NUM
fcis-30018	105	44	textures	texture	NOUN
fcis-30018	105	45	with	with	ADP
fcis-30018	105	46	high	high	ADJ
fcis-30018	105	47	accuracy	accuracy	NOUN
fcis-30018	105	48	.	.	PUNCT
fcis-30018	106	1	in	in	ADP
fcis-30018	106	2	addition	addition	NOUN
fcis-30018	106	3	,	,	PUNCT
fcis-30018	106	4	the	the	DET
fcis-30018	106	5	method	method	NOUN
fcis-30018	106	6	in	in	ADP
fcis-30018	106	7	this	this	DET
fcis-30018	106	8	paper	paper	NOUN
fcis-30018	106	9	can	can	AUX
fcis-30018	106	10	be	be	AUX
fcis-30018	106	11	calculated	calculate	VERB
fcis-30018	106	12	in	in	ADP
fcis-30018	106	13	only	only	ADV
fcis-30018	106	14	0.30	0.30	NUM
fcis-30018	106	15	seconds	second	NOUN
fcis-30018	106	16	on	on	ADP
fcis-30018	106	17	the	the	DET
fcis-30018	106	18	running	running	ADJ
fcis-30018	106	19	time	time	NOUN
fcis-30018	106	20	.	.	PUNCT
fcis-30018	107	1	table	table	NOUN
fcis-30018	107	2	2	2	NUM
fcis-30018	107	3	.	.	PUNCT
fcis-30018	107	4	experimental	experimental	ADJ
fcis-30018	107	5	results	result	NOUN
fcis-30018	107	6	of	of	ADP
fcis-30018	107	7	each	each	DET
fcis-30018	107	8	method	method	NOUN
fcis-30018	107	9	in	in	ADP
fcis-30018	107	10	the	the	DET
fcis-30018	107	11	kitti	kitti	PROPN
fcis-30018	107	12	2012	2012	NUM
fcis-30018	107	13	test	test	NOUN
fcis-30018	107	14	set	set	VERB
fcis-30018	107	15	method	method	NOUN
fcis-30018	107	16	>	>	X
fcis-30018	107	17	2px/%	2px/%	NUM
fcis-30018	107	18	>	>	PUNCT
fcis-30018	108	1	3px/%	3px/%	NUM
fcis-30018	108	2	>	>	PUNCT
fcis-30018	108	3	5px/%	5px/%	NUM
fcis-30018	108	4	mean	mean	NOUN
fcis-30018	108	5	error(px	error(px	PROPN
fcis-30018	108	6	)	)	PUNCT
fcis-30018	108	7	times	time	NOUN
fcis-30018	108	8	/	/	SYM
fcis-30018	108	9	s	s	PART
fcis-30018	108	10	noc	noc	PROPN
fcis-30018	108	11	all	all	DET
fcis-30018	108	12	noc	noc	PROPN
fcis-30018	108	13	all	all	DET
fcis-30018	108	14	noc	noc	PROPN
fcis-30018	108	15	all	all	DET
fcis-30018	108	16	noc	noc	PROPN
fcis-30018	108	17	all	all	DET
fcis-30018	108	18	dispnetc[12	dispnetc[12	NOUN
fcis-30018	108	19	]	]	X
fcis-30018	108	20	7.38	7.38	NUM
fcis-30018	108	21	8.11	8.11	NUM
fcis-30018	108	22	4.11	4.11	NUM
fcis-30018	108	23	4.65	4.65	NUM
fcis-30018	108	24	2.05	2.05	NUM
fcis-30018	108	25	2.39	2.39	NUM
fcis-30018	108	26	0.9	0.9	NUM
fcis-30018	108	27	1.0	1.0	NUM
fcis-30018	108	28	0.06	0.06	NUM
fcis-30018	108	29	mc	mc	PROPN
fcis-30018	108	30	-	-	PUNCT
fcis-30018	108	31	cnn	cnn	PROPN
fcis-30018	108	32	-	-	PUNCT
fcis-30018	108	33	act[13	act[13	PROPN
fcis-30018	108	34	]	]	PUNCT
fcis-30018	108	35	3.90	3.90	NUM
fcis-30018	108	36	5.45	5.45	NUM
fcis-30018	108	37	2.43	2.43	NUM
fcis-30018	108	38	3.63	3.63	NUM
fcis-30018	108	39	1.64	1.64	NUM
fcis-30018	108	40	2.39	2.39	NUM
fcis-30018	108	41	0.7	0.7	NUM
fcis-30018	108	42	0.9	0.9	NUM
fcis-30018	108	43	67	67	NUM
fcis-30018	108	44	gc	gc	PROPN
fcis-30018	108	45	-	-	PUNCT
fcis-30018	108	46	net[7	net[7	PROPN
fcis-30018	108	47	]	]	X
fcis-30018	108	48	2.71	2.71	NUM
fcis-30018	108	49	3.46	3.46	NUM
fcis-30018	108	50	1.77	1.77	NUM
fcis-30018	108	51	2.30	2.30	NUM
fcis-30018	108	52	1.12	1.12	NUM
fcis-30018	108	53	1.46	1.46	NUM
fcis-30018	108	54	0.6	0.6	NUM
fcis-30018	108	55	0.7	0.7	NUM
fcis-30018	108	56	0.9	0.9	NUM
fcis-30018	108	57	iresnet	iresnet	NOUN
fcis-30018	108	58	-	-	PUNCT
fcis-30018	108	59	i2[14	i2[14	PROPN
fcis-30018	108	60	]	]	X
fcis-30018	108	61	2.69	2.69	NUM
fcis-30018	108	62	3.34	3.34	NUM
fcis-30018	108	63	1.71	1.71	NUM
fcis-30018	108	64	2.16	2.16	NUM
fcis-30018	108	65	1.06	1.06	NUM
fcis-30018	108	66	1.32	1.32	NUM
fcis-30018	108	67	0.5	0.5	NUM
fcis-30018	108	68	0.6	0.6	NUM
fcis-30018	108	69	0.12	0.12	NUM
fcis-30018	108	70	segstereo[15	segstereo[15	NOUN
fcis-30018	108	71	]	]	X
fcis-30018	108	72	2.66	2.66	NUM
fcis-30018	108	73	3.19	3.19	NUM
fcis-30018	108	74	1.68	1.68	NUM
fcis-30018	108	75	2.03	2.03	NUM
fcis-30018	108	76	1.00	1.00	NUM
fcis-30018	108	77	1.21	1.21	NUM
fcis-30018	108	78	0.5	0.5	NUM
fcis-30018	108	79	0.6	0.6	NUM
fcis-30018	108	80	0.6	0.6	NUM
fcis-30018	108	81	psmnet[8	psmnet[8	ADP
fcis-30018	108	82	]	]	X
fcis-30018	108	83	2.44	2.44	NUM
fcis-30018	108	84	3.01	3.01	NUM
fcis-30018	108	85	1.49	1.49	NUM
fcis-30018	108	86	1.89	1.89	NUM
fcis-30018	108	87	0.90	0.90	NUM
fcis-30018	108	88	1.15	1.15	NUM
fcis-30018	108	89	0.5	0.5	NUM
fcis-30018	108	90	0.6	0.6	NUM
fcis-30018	108	91	0.41	0.41	NUM
fcis-30018	108	92	ganet[11	ganet[11	NOUN
fcis-30018	108	93	]	]	PUNCT
fcis-30018	108	94	2.18	2.18	NUM
fcis-30018	108	95	2.79	2.79	NUM
fcis-30018	108	96	1.36	1.36	NUM
fcis-30018	108	97	1.80	1.80	NUM
fcis-30018	108	98	0.83	0.83	NUM
fcis-30018	108	99	1.10	1.10	NUM
fcis-30018	108	100	0.5	0.5	NUM
fcis-30018	108	101	0.5	0.5	NUM
fcis-30018	108	102	0.36	0.36	NUM
fcis-30018	108	103	gwcnet[9	gwcnet[9	NOUN
fcis-30018	108	104	]	]	X
fcis-30018	108	105	2.16	2.16	NUM
fcis-30018	108	106	2.71	2.71	NUM
fcis-30018	108	107	1.32	1.32	NUM
fcis-30018	108	108	1.70	1.70	NUM
fcis-30018	108	109	0.80	0.80	NUM
fcis-30018	108	110	1.03	1.03	NUM
fcis-30018	108	111	0.5	0.5	NUM
fcis-30018	108	112	0.5	0.5	NUM
fcis-30018	108	113	0.32	0.32	NUM
fcis-30018	108	114	our	our	PRON
fcis-30018	108	115	2.11	2.11	NUM
fcis-30018	108	116	2.59	2.59	NUM
fcis-30018	108	117	1.25	1.25	NUM
fcis-30018	108	118	1.64	1.64	NUM
fcis-30018	108	119	0.75	0.75	NUM
fcis-30018	108	120	0.96	0.96	NUM
fcis-30018	108	121	0.5	0.5	NUM
fcis-30018	108	122	0.5	0.5	NUM
fcis-30018	108	123	0.30	0.30	NUM
fcis-30018	108	124	4.1.3	4.1.3	NUM
fcis-30018	108	125	.	.	PUNCT
fcis-30018	109	1	kitti	kitti	PROPN
fcis-30018	109	2	2012	2012	NUM
fcis-30018	109	3	experiments	experiment	NOUN
fcis-30018	109	4	table	table	VERB
fcis-30018	109	5	3	3	NUM
fcis-30018	109	6	.	.	PUNCT
fcis-30018	110	1	experimental	experimental	ADJ
fcis-30018	110	2	results	result	NOUN
fcis-30018	110	3	of	of	ADP
fcis-30018	110	4	each	each	DET
fcis-30018	110	5	method	method	NOUN
fcis-30018	110	6	in	in	ADP
fcis-30018	110	7	the	the	DET
fcis-30018	110	8	kitti	kitti	PROPN
fcis-30018	110	9	2012	2012	NUM
fcis-30018	110	10	test	test	NOUN
fcis-30018	110	11	set	set	VERB
fcis-30018	110	12	method	method	NOUN
fcis-30018	110	13	all	all	PRON
fcis-30018	110	14	pixels/%	pixels/%	VERB
fcis-30018	110	15	noc	noc	PROPN
fcis-30018	110	16	pixels/%	pixels/%	PROPN
fcis-30018	110	17	times	time	NOUN
fcis-30018	110	18	/	/	SYM
fcis-30018	110	19	s	s	PART
fcis-30018	110	20	d1	d1	NOUN
fcis-30018	110	21	-	-	PUNCT
fcis-30018	110	22	bg	bg	NOUN
fcis-30018	110	23	d1	d1	PROPN
fcis-30018	110	24	-	-	PUNCT
fcis-30018	110	25	fg	fg	NOUN
fcis-30018	110	26	d1	d1	NOUN
fcis-30018	110	27	-	-	PUNCT
fcis-30018	110	28	all	all	PRON
fcis-30018	110	29	d1	d1	PROPN
fcis-30018	110	30	-	-	PUNCT
fcis-30018	110	31	bg	bg	NOUN
fcis-30018	110	32	d1	d1	PROPN
fcis-30018	110	33	-	-	PUNCT
fcis-30018	110	34	fg	fg	NOUN
fcis-30018	110	35	d1	d1	NOUN
fcis-30018	110	36	-	-	PUNCT
fcis-30018	110	37	all	all	DET
fcis-30018	110	38	dispnetc[12	dispnetc[12	NOUN
fcis-30018	110	39	]	]	X
fcis-30018	110	40	4.32	4.32	NUM
fcis-30018	110	41	4.41	4.41	NUM
fcis-30018	110	42	4.34	4.34	NUM
fcis-30018	110	43	4.11	4.11	NUM
fcis-30018	110	44	3.72	3.72	NUM
fcis-30018	110	45	4.05	4.05	NUM
fcis-30018	110	46	0.06	0.06	NUM
fcis-30018	110	47	gc	gc	PROPN
fcis-30018	110	48	-	-	PUNCT
fcis-30018	110	49	net[7	net[7	PROPN
fcis-30018	110	50	]	]	X
fcis-30018	110	51	2.21	2.21	NUM
fcis-30018	110	52	6.16	6.16	NUM
fcis-30018	110	53	2.87	2.87	NUM
fcis-30018	110	54	2.02	2.02	NUM
fcis-30018	110	55	5.58	5.58	NUM
fcis-30018	110	56	2.61	2.61	NUM
fcis-30018	110	57	0.9	0.9	NUM
fcis-30018	110	58	iresnet	iresnet	NOUN
fcis-30018	110	59	-	-	PUNCT
fcis-30018	110	60	i2e2[14	i2e2[14	PROPN
fcis-30018	110	61	]	]	PUNCT
fcis-30018	110	62	2.14	2.14	NUM
fcis-30018	110	63	3.45	3.45	NUM
fcis-30018	110	64	2.36	2.36	NUM
fcis-30018	110	65	1.94	1.94	NUM
fcis-30018	110	66	3.20	3.20	NUM
fcis-30018	110	67	2.15	2.15	NUM
fcis-30018	110	68	0.22	0.22	NUM
fcis-30018	110	69	psmnet[8	psmnet[8	ADP
fcis-30018	110	70	]	]	X
fcis-30018	110	71	1.86	1.86	NUM
fcis-30018	110	72	4.62	4.62	NUM
fcis-30018	110	73	2.32	2.32	NUM
fcis-30018	110	74	1.71	1.71	NUM
fcis-30018	110	75	4.31	4.31	NUM
fcis-30018	110	76	2.14	2.14	NUM
fcis-30018	110	77	0.41	0.41	NUM
fcis-30018	110	78	segstereo[15	segstereo[15	NOUN
fcis-30018	110	79	]	]	X
fcis-30018	110	80	1.88	1.88	NUM
fcis-30018	110	81	4.07	4.07	NUM
fcis-30018	110	82	2.25	2.25	NUM
fcis-30018	110	83	1.76	1.76	NUM
fcis-30018	110	84	3.70	3.70	NUM
fcis-30018	110	85	2.08	2.08	NUM
fcis-30018	110	86	0.6	0.6	NUM
fcis-30018	110	87	ganet-15[11	ganet-15[11	NOUN
fcis-30018	110	88	]	]	PUNCT
fcis-30018	110	89	1.55	1.55	NUM
fcis-30018	110	90	3.82	3.82	NUM
fcis-30018	110	91	1.93	1.93	NUM
fcis-30018	110	92	1.40	1.40	NUM
fcis-30018	110	93	3.37	3.37	NUM
fcis-30018	110	94	1.73	1.73	NUM
fcis-30018	110	95	0.36	0.36	NUM
fcis-30018	110	96	gwcnet[9	gwcnet[9	NOUN
fcis-30018	110	97	]	]	X
fcis-30018	110	98	1.74	1.74	NUM
fcis-30018	110	99	3.93	3.93	NUM
fcis-30018	110	100	2.11	2.11	NUM
fcis-30018	110	101	1.61	1.61	NUM
fcis-30018	110	102	3.49	3.49	NUM
fcis-30018	110	103	1.92	1.92	NUM
fcis-30018	110	104	0.32	0.32	NUM
fcis-30018	110	105	our	our	PRON
fcis-30018	110	106	1.50	1.50	NUM
fcis-30018	110	107	3.77	3.77	NUM
fcis-30018	110	108	1.98	1.98	NUM
fcis-30018	110	109	1.48	1.48	NUM
fcis-30018	110	110	3.42	3.42	NUM
fcis-30018	110	111	1.81	1.81	NUM
fcis-30018	110	112	0.30	0.30	NUM
fcis-30018	110	113	4.2	4.2	NUM
fcis-30018	110	114	.	.	PUNCT
fcis-30018	111	1	qualitative	qualitative	VERB
fcis-30018	111	2	analysis	analysis	NOUN
fcis-30018	111	3	4.2.1	4.2.1	NUM
fcis-30018	111	4	.	.	PUNCT
fcis-30018	112	1	kitti	kitti	PROPN
fcis-30018	112	2	2012	2012	NUM
fcis-30018	112	3	experiments	experiment	NOUN
fcis-30018	112	4	fig	fig	NOUN
fcis-30018	112	5	5	5	NUM
fcis-30018	112	6	.	.	PUNCT
fcis-30018	112	7	comparison	comparison	NOUN
fcis-30018	112	8	of	of	ADP
fcis-30018	112	9	the	the	DET
fcis-30018	112	10	effects	effect	NOUN
fcis-30018	112	11	of	of	ADP
fcis-30018	112	12	the	the	DET
fcis-30018	112	13	original	original	ADJ
fcis-30018	112	14	model	model	NOUN
fcis-30018	112	15	and	and	CCONJ
fcis-30018	112	16	our	our	PRON
fcis-30018	112	17	method	method	NOUN
fcis-30018	112	18	on	on	ADP
fcis-30018	112	19	the	the	DET
fcis-30018	112	20	kitti2012	kitti2012	PROPN
fcis-30018	112	21	dataset	dataset	VERB
fcis-30018	112	22	it	it	PRON
fcis-30018	112	23	can	can	AUX
fcis-30018	112	24	be	be	AUX
fcis-30018	112	25	clearly	clearly	ADV
fcis-30018	112	26	observed	observe	VERB
fcis-30018	112	27	from	from	ADP
fcis-30018	112	28	figure	figure	NOUN
fcis-30018	112	29	5	5	NUM
fcis-30018	112	30	that	that	SCONJ
fcis-30018	112	31	the	the	DET
fcis-30018	112	32	proposed	propose	VERB
fcis-30018	112	33	method	method	NOUN
fcis-30018	112	34	has	have	VERB
fcis-30018	112	35	a	a	DET
fcis-30018	112	36	reduction	reduction	NOUN
fcis-30018	112	37	in	in	ADP
fcis-30018	112	38	the	the	DET
fcis-30018	112	39	error	error	NOUN
fcis-30018	112	40	value	value	NOUN
fcis-30018	112	41	,	,	PUNCT
fcis-30018	112	42	which	which	PRON
fcis-30018	112	43	is	be	AUX
fcis-30018	112	44	manifested	manifest	VERB
fcis-30018	112	45	in	in	ADP
fcis-30018	112	46	the	the	DET
fcis-30018	112	47	reduction	reduction	NOUN
fcis-30018	112	48	of	of	ADP
fcis-30018	112	49	the	the	DET
fcis-30018	112	50	degree	degree	NOUN
fcis-30018	112	51	of	of	ADP
fcis-30018	112	52	deviation	deviation	NOUN
fcis-30018	112	53	of	of	ADP
fcis-30018	112	54	the	the	DET
fcis-30018	112	55	color	color	NOUN
fcis-30018	112	56	distribution	distribution	NOUN
fcis-30018	112	57	.	.	PUNCT
fcis-30018	113	1	in	in	ADP
fcis-30018	113	2	the	the	DET
fcis-30018	113	3	first	first	ADJ
fcis-30018	113	4	image	image	NOUN
fcis-30018	113	5	,	,	PUNCT
fcis-30018	113	6	the	the	DET
fcis-30018	113	7	glass	glass	NOUN
fcis-30018	113	8	area	area	NOUN
fcis-30018	113	9	of	of	ADP
fcis-30018	113	10	the	the	DET
fcis-30018	113	11	house	house	NOUN
fcis-30018	113	12	appears	appear	VERB
fcis-30018	113	13	as	as	ADP
fcis-30018	113	14	a	a	DET
fcis-30018	113	15	large	large	ADJ
fcis-30018	113	16	white	white	ADJ
fcis-30018	113	17	block	block	NOUN
fcis-30018	113	18	in	in	ADP
fcis-30018	113	19	the	the	DET
fcis-30018	113	20	original	original	ADJ
fcis-30018	113	21	model	model	NOUN
fcis-30018	113	22	,	,	PUNCT
fcis-30018	113	23	lacking	lack	VERB
fcis-30018	113	24	detailed	detailed	ADJ
fcis-30018	113	25	information	information	NOUN
fcis-30018	113	26	.	.	PUNCT
fcis-30018	114	1	the	the	DET
fcis-30018	114	2	method	method	NOUN
fcis-30018	114	3	in	in	ADP
fcis-30018	114	4	this	this	DET
fcis-30018	114	5	paper	paper	NOUN
fcis-30018	114	6	can	can	AUX
fcis-30018	114	7	more	more	ADV
fcis-30018	114	8	accurately	accurately	ADV
fcis-30018	114	9	restore	restore	VERB
fcis-30018	114	10	the	the	DET
fcis-30018	114	11	shape	shape	NOUN
fcis-30018	114	12	of	of	ADP
fcis-30018	114	13	the	the	DET
fcis-30018	114	14	window	window	NOUN
fcis-30018	114	15	and	and	CCONJ
fcis-30018	114	16	the	the	DET
fcis-30018	114	17	specific	specific	ADJ
fcis-30018	114	18	size	size	NOUN
fcis-30018	114	19	and	and	CCONJ
fcis-30018	114	20	contour	contour	NOUN
fcis-30018	114	21	of	of	ADP
fcis-30018	114	22	the	the	DET
fcis-30018	114	23	three	three	NUM
fcis-30018	114	24	poles	pole	NOUN
fcis-30018	114	25	,	,	PUNCT
fcis-30018	114	26	showing	show	VERB
fcis-30018	114	27	a	a	DET
fcis-30018	114	28	stronger	strong	ADJ
fcis-30018	114	29	ability	ability	NOUN
fcis-30018	114	30	to	to	PART
fcis-30018	114	31	depict	depict	VERB
fcis-30018	114	32	details	detail	NOUN
fcis-30018	114	33	.	.	PUNCT
fcis-30018	115	1	in	in	ADP
fcis-30018	115	2	the	the	DET
fcis-30018	115	3	second	second	ADJ
fcis-30018	115	4	image	image	NOUN
fcis-30018	115	5	,	,	PUNCT
fcis-30018	115	6	the	the	DET
fcis-30018	115	7	original	original	ADJ
fcis-30018	115	8	model	model	NOUN
fcis-30018	115	9	can	can	AUX
fcis-30018	115	10	only	only	ADV
fcis-30018	115	11	show	show	VERB
fcis-30018	115	12	a	a	DET
fcis-30018	115	13	rough	rough	ADJ
fcis-30018	115	14	overall	overall	ADJ
fcis-30018	115	15	outline	outline	NOUN
fcis-30018	115	16	of	of	ADP
fcis-30018	115	17	the	the	DET
fcis-30018	115	18	shape	shape	NOUN
fcis-30018	115	19	of	of	ADP
fcis-30018	115	20	the	the	DET
fcis-30018	115	21	trees	tree	NOUN
fcis-30018	115	22	in	in	ADP
fcis-30018	115	23	the	the	DET
fcis-30018	115	24	dark	dark	ADJ
fcis-30018	115	25	area	area	NOUN
fcis-30018	115	26	,	,	PUNCT
fcis-30018	115	27	but	but	CCONJ
fcis-30018	115	28	the	the	DET
fcis-30018	115	29	proposed	propose	VERB
fcis-30018	115	30	method	method	NOUN
fcis-30018	115	31	can	can	AUX
fcis-30018	115	32	capture	capture	VERB
fcis-30018	115	33	the	the	DET
fcis-30018	115	34	more	more	ADV
fcis-30018	115	35	detailed	detailed	ADJ
fcis-30018	115	36	concave	concave	NOUN
fcis-30018	115	37	and	and	CCONJ
fcis-30018	115	38	convex	convex	NOUN
fcis-30018	115	39	structure	structure	NOUN
fcis-30018	115	40	and	and	CCONJ
fcis-30018	115	41	contour	contour	NOUN
fcis-30018	115	42	features	feature	NOUN
fcis-30018	115	43	,	,	PUNCT
fcis-30018	115	44	making	make	VERB
fcis-30018	115	45	the	the	DET
fcis-30018	115	46	shape	shape	NOUN
fcis-30018	115	47	of	of	ADP
fcis-30018	115	48	the	the	DET
fcis-30018	115	49	trees	tree	NOUN
fcis-30018	115	50	more	more	ADV
fcis-30018	115	51	realistic	realistic	ADJ
fcis-30018	115	52	and	and	CCONJ
fcis-30018	115	53	natural	natural	ADJ
fcis-30018	115	54	,	,	PUNCT
fcis-30018	115	55	and	and	CCONJ
fcis-30018	115	56	the	the	DET
fcis-30018	115	57	length	length	NOUN
fcis-30018	115	58	and	and	CCONJ
fcis-30018	115	59	thickness	thickness	NOUN
fcis-30018	115	60	of	of	ADP
fcis-30018	115	61	the	the	DET
fcis-30018	115	62	dividing	dividing	NOUN
fcis-30018	115	63	line	line	NOUN
fcis-30018	115	64	on	on	ADP
fcis-30018	115	65	the	the	DET
fcis-30018	115	66	upper	upper	ADJ
fcis-30018	115	67	edge	edge	NOUN
fcis-30018	115	68	of	of	ADP
fcis-30018	115	69	the	the	DET
fcis-30018	115	70	fence	fence	NOUN
fcis-30018	115	71	are	be	AUX
fcis-30018	115	72	more	more	ADV
fcis-30018	115	73	clear	clear	ADJ
fcis-30018	115	74	and	and	CCONJ
fcis-30018	115	75	fine	fine	ADJ
fcis-30018	115	76	,	,	PUNCT
fcis-30018	115	77	and	and	CCONJ
fcis-30018	115	78	the	the	DET
fcis-30018	115	79	clarity	clarity	NOUN
fcis-30018	115	80	of	of	ADP
fcis-30018	115	81	the	the	DET
fcis-30018	115	82	boundary	boundary	ADJ
fcis-30018	115	83	area	area	NOUN
fcis-30018	115	84	is	be	AUX
fcis-30018	115	85	significantly	significantly	ADV
fcis-30018	115	86	improved	improve	VERB
fcis-30018	115	87	.	.	PUNCT
fcis-30018	116	1	in	in	ADP
fcis-30018	116	2	the	the	DET
fcis-30018	116	3	third	third	ADJ
fcis-30018	116	4	image	image	NOUN
fcis-30018	116	5	,	,	PUNCT
fcis-30018	116	6	the	the	DET
fcis-30018	116	7	shape	shape	NOUN
fcis-30018	116	8	of	of	ADP
fcis-30018	116	9	the	the	DET
fcis-30018	116	10	car	car	NOUN
fcis-30018	116	11	in	in	ADP
fcis-30018	116	12	the	the	DET
fcis-30018	116	13	image	image	NOUN
fcis-30018	116	14	is	be	AUX
fcis-30018	116	15	closer	close	ADJ
fcis-30018	116	16	to	to	ADP
fcis-30018	116	17	the	the	DET
fcis-30018	116	18	real	real	ADJ
fcis-30018	116	19	curvilinear	curvilinear	ADJ
fcis-30018	116	20	shape	shape	NOUN
fcis-30018	116	21	,	,	PUNCT
fcis-30018	116	22	and	and	CCONJ
fcis-30018	116	23	the	the	DET
fcis-30018	116	24	ghosting	ghosting	NOUN
fcis-30018	116	25	of	of	ADP
fcis-30018	116	26	the	the	DET
fcis-30018	116	27	trees	tree	NOUN
fcis-30018	116	28	is	be	AUX
fcis-30018	116	29	also	also	ADV
fcis-30018	116	30	effectively	effectively	ADV
fcis-30018	116	31	alleviated	alleviate	VERB
fcis-30018	116	32	,	,	PUNCT
fcis-30018	116	33	and	and	CCONJ
fcis-30018	116	34	the	the	DET
fcis-30018	116	35	white	white	ADJ
fcis-30018	116	36	boundary	boundary	ADJ
fcis-30018	116	37	line	line	NOUN
fcis-30018	116	38	on	on	ADP
fcis-30018	116	39	the	the	DET
fcis-30018	116	40	side	side	NOUN
fcis-30018	116	41	of	of	ADP
fcis-30018	116	42	the	the	DET
fcis-30018	116	43	highway	highway	NOUN
fcis-30018	116	44	becomes	become	VERB
fcis-30018	116	45	more	more	ADV
fcis-30018	116	46	obvious	obvious	ADJ
fcis-30018	116	47	under	under	ADP
fcis-30018	116	48	the	the	DET
fcis-30018	116	49	effect	effect	NOUN
fcis-30018	116	50	of	of	ADP
fcis-30018	116	51	this	this	DET
fcis-30018	116	52	method	method	NOUN
fcis-30018	116	53	,	,	PUNCT
fcis-30018	116	54	and	and	CCONJ
fcis-30018	116	55	the	the	DET
fcis-30018	116	56	continuity	continuity	NOUN
fcis-30018	116	57	and	and	CCONJ
fcis-30018	116	58	clarity	clarity	NOUN
fcis-30018	116	59	of	of	ADP
fcis-30018	116	60	the	the	DET
fcis-30018	116	61	lines	line	NOUN
fcis-30018	116	62	are	be	AUX
fcis-30018	116	63	improved	improve	VERB
fcis-30018	116	64	.	.	PUNCT
fcis-30018	117	1	4.2.2	4.2.2	X
fcis-30018	117	2	.	.	PUNCT
fcis-30018	118	1	kitti	kitti	PROPN
fcis-30018	118	2	2015	2015	NUM
fcis-30018	118	3	experiments	experiment	NOUN
fcis-30018	118	4	53	53	NUM
fcis-30018	118	5	fig	fig	NOUN
fcis-30018	118	6	6	6	NUM
fcis-30018	118	7	.	.	PUNCT
fcis-30018	118	8	comparison	comparison	NOUN
fcis-30018	118	9	of	of	ADP
fcis-30018	118	10	the	the	DET
fcis-30018	118	11	effects	effect	NOUN
fcis-30018	118	12	of	of	ADP
fcis-30018	118	13	the	the	DET
fcis-30018	118	14	original	original	ADJ
fcis-30018	118	15	model	model	NOUN
fcis-30018	118	16	and	and	CCONJ
fcis-30018	118	17	our	our	PRON
fcis-30018	118	18	method	method	NOUN
fcis-30018	118	19	on	on	ADP
fcis-30018	118	20	the	the	DET
fcis-30018	118	21	kitti2015	kitti2015	PROPN
fcis-30018	118	22	dataset	dataset	VERB
fcis-30018	118	23	as	as	SCONJ
fcis-30018	118	24	can	can	AUX
fcis-30018	118	25	be	be	AUX
fcis-30018	118	26	seen	see	VERB
fcis-30018	118	27	from	from	ADP
fcis-30018	118	28	figure	figure	NOUN
fcis-30018	118	29	6	6	NUM
fcis-30018	118	30	,	,	PUNCT
fcis-30018	118	31	the	the	DET
fcis-30018	118	32	experimental	experimental	ADJ
fcis-30018	118	33	results	result	NOUN
fcis-30018	118	34	using	use	VERB
fcis-30018	118	35	the	the	DET
fcis-30018	118	36	kitti2015	kitti2015	PROPN
fcis-30018	118	37	dataset	dataset	NOUN
fcis-30018	118	38	demonstrate	demonstrate	VERB
fcis-30018	118	39	the	the	DET
fcis-30018	118	40	superiority	superiority	NOUN
fcis-30018	118	41	of	of	ADP
fcis-30018	118	42	the	the	DET
fcis-30018	118	43	proposed	propose	VERB
fcis-30018	118	44	method	method	NOUN
fcis-30018	118	45	in	in	ADP
fcis-30018	118	46	the	the	DET
fcis-30018	118	47	stereo	stereo	NOUN
fcis-30018	118	48	matching	matching	NOUN
fcis-30018	118	49	effect	effect	NOUN
fcis-30018	118	50	in	in	ADP
fcis-30018	118	51	dynamic	dynamic	ADJ
fcis-30018	118	52	large	large	ADJ
fcis-30018	118	53	scenes	scene	NOUN
fcis-30018	118	54	.	.	PUNCT
fcis-30018	119	1	specifically	specifically	ADV
fcis-30018	119	2	,	,	PUNCT
fcis-30018	119	3	in	in	ADP
fcis-30018	119	4	the	the	DET
fcis-30018	119	5	first	first	ADJ
fcis-30018	119	6	image	image	NOUN
fcis-30018	119	7	,	,	PUNCT
fcis-30018	119	8	the	the	DET
fcis-30018	119	9	scene	scene	NOUN
fcis-30018	119	10	contains	contain	VERB
fcis-30018	119	11	a	a	DET
fcis-30018	119	12	vast	vast	ADJ
fcis-30018	119	13	blue	blue	ADJ
fcis-30018	119	14	sky	sky	NOUN
fcis-30018	119	15	and	and	CCONJ
fcis-30018	119	16	white	white	ADJ
fcis-30018	119	17	clouds	cloud	NOUN
fcis-30018	119	18	,	,	PUNCT
fcis-30018	119	19	and	and	CCONJ
fcis-30018	119	20	the	the	DET
fcis-30018	119	21	proposed	propose	VERB
fcis-30018	119	22	method	method	NOUN
fcis-30018	119	23	significantly	significantly	ADV
fcis-30018	119	24	reduces	reduce	VERB
fcis-30018	119	25	the	the	DET
fcis-30018	119	26	mismatch	mismatch	ADJ
fcis-30018	119	27	rate	rate	NOUN
fcis-30018	119	28	and	and	CCONJ
fcis-30018	119	29	successfully	successfully	ADV
fcis-30018	119	30	avoids	avoid	VERB
fcis-30018	119	31	misconfusing	misconfuse	VERB
fcis-30018	119	32	the	the	DET
fcis-30018	119	33	parallax	parallax	NOUN
fcis-30018	119	34	of	of	ADP
fcis-30018	119	35	the	the	DET
fcis-30018	119	36	woods	wood	NOUN
fcis-30018	119	37	below	below	ADV
fcis-30018	119	38	with	with	ADP
fcis-30018	119	39	the	the	DET
fcis-30018	119	40	sky	sky	NOUN
fcis-30018	119	41	region	region	NOUN
fcis-30018	119	42	,	,	PUNCT
fcis-30018	119	43	so	so	SCONJ
fcis-30018	119	44	as	as	SCONJ
fcis-30018	119	45	to	to	PART
fcis-30018	119	46	more	more	ADV
fcis-30018	119	47	accurately	accurately	ADV
fcis-30018	119	48	preserve	preserve	VERB
fcis-30018	119	49	the	the	DET
fcis-30018	119	50	true	true	ADJ
fcis-30018	119	51	parallax	parallax	NOUN
fcis-30018	119	52	distribution	distribution	NOUN
fcis-30018	119	53	of	of	ADP
fcis-30018	119	54	different	different	ADJ
fcis-30018	119	55	regions	region	NOUN
fcis-30018	119	56	.	.	PUNCT
fcis-30018	120	1	in	in	ADP
fcis-30018	120	2	the	the	DET
fcis-30018	120	3	second	second	ADJ
fcis-30018	120	4	image	image	NOUN
fcis-30018	120	5	,	,	PUNCT
fcis-30018	120	6	small	small	ADJ
fcis-30018	120	7	trees	tree	NOUN
fcis-30018	120	8	are	be	AUX
fcis-30018	120	9	shown	show	VERB
fcis-30018	120	10	side	side	NOUN
fcis-30018	120	11	by	by	ADP
fcis-30018	120	12	side	side	NOUN
fcis-30018	120	13	,	,	PUNCT
fcis-30018	120	14	and	and	CCONJ
fcis-30018	120	15	the	the	DET
fcis-30018	120	16	proposed	propose	VERB
fcis-30018	120	17	method	method	NOUN
fcis-30018	120	18	can	can	AUX
fcis-30018	120	19	demarcate	demarcate	VERB
fcis-30018	120	20	the	the	DET
fcis-30018	120	21	outline	outline	NOUN
fcis-30018	120	22	of	of	ADP
fcis-30018	120	23	each	each	DET
fcis-30018	120	24	tree	tree	NOUN
fcis-30018	120	25	more	more	ADV
fcis-30018	120	26	clearly	clearly	ADV
fcis-30018	120	27	and	and	CCONJ
fcis-30018	120	28	accurately	accurately	ADV
fcis-30018	120	29	,	,	PUNCT
fcis-30018	120	30	effectively	effectively	ADV
fcis-30018	120	31	reducing	reduce	VERB
fcis-30018	120	32	the	the	DET
fcis-30018	120	33	problem	problem	NOUN
fcis-30018	120	34	of	of	ADP
fcis-30018	120	35	blurring	blur	VERB
fcis-30018	120	36	the	the	DET
fcis-30018	120	37	boundaries	boundary	NOUN
fcis-30018	120	38	between	between	ADP
fcis-30018	120	39	trees	tree	NOUN
fcis-30018	120	40	,	,	PUNCT
fcis-30018	120	41	and	and	CCONJ
fcis-30018	120	42	further	far	ADV
fcis-30018	120	43	improving	improve	VERB
fcis-30018	120	44	the	the	DET
fcis-30018	120	45	ability	ability	NOUN
fcis-30018	120	46	to	to	PART
fcis-30018	120	47	recognize	recognize	VERB
fcis-30018	120	48	details	detail	NOUN
fcis-30018	120	49	.	.	PUNCT
fcis-30018	121	1	the	the	DET
fcis-30018	121	2	third	third	ADJ
fcis-30018	121	3	image	image	NOUN
fcis-30018	121	4	shows	show	VERB
fcis-30018	121	5	a	a	DET
fcis-30018	121	6	pair	pair	NOUN
fcis-30018	121	7	of	of	ADP
fcis-30018	121	8	warning	warning	NOUN
fcis-30018	121	9	signs	sign	NOUN
fcis-30018	121	10	with	with	ADP
fcis-30018	121	11	a	a	DET
fcis-30018	121	12	triangular	triangular	ADJ
fcis-30018	121	13	red	red	ADJ
fcis-30018	121	14	border	border	NOUN
fcis-30018	121	15	and	and	CCONJ
fcis-30018	121	16	a	a	DET
fcis-30018	121	17	white	white	ADJ
fcis-30018	121	18	shape	shape	NOUN
fcis-30018	121	19	inside	inside	ADV
fcis-30018	121	20	,	,	PUNCT
fcis-30018	121	21	which	which	PRON
fcis-30018	121	22	can	can	AUX
fcis-30018	121	23	better	well	ADV
fcis-30018	121	24	deal	deal	VERB
fcis-30018	121	25	with	with	ADP
fcis-30018	121	26	the	the	DET
fcis-30018	121	27	shape	shape	NOUN
fcis-30018	121	28	segmentation	segmentation	NOUN
fcis-30018	121	29	problem	problem	NOUN
fcis-30018	121	30	of	of	ADP
fcis-30018	121	31	the	the	DET
fcis-30018	121	32	same	same	ADJ
fcis-30018	121	33	color	color	NOUN
fcis-30018	121	34	area	area	NOUN
fcis-30018	121	35	in	in	ADP
fcis-30018	121	36	a	a	DET
fcis-30018	121	37	large	large	ADJ
fcis-30018	121	38	area	area	NOUN
fcis-30018	121	39	,	,	PUNCT
fcis-30018	121	40	ensure	ensure	VERB
fcis-30018	121	41	that	that	SCONJ
fcis-30018	121	42	the	the	DET
fcis-30018	121	43	shape	shape	NOUN
fcis-30018	121	44	and	and	CCONJ
fcis-30018	121	45	color	color	NOUN
fcis-30018	121	46	characteristics	characteristic	NOUN
fcis-30018	121	47	of	of	ADP
fcis-30018	121	48	the	the	DET
fcis-30018	121	49	warning	warning	NOUN
fcis-30018	121	50	signs	sign	NOUN
fcis-30018	121	51	are	be	AUX
fcis-30018	121	52	accurately	accurately	ADV
fcis-30018	121	53	restored	restore	VERB
fcis-30018	121	54	,	,	PUNCT
fcis-30018	121	55	and	and	CCONJ
fcis-30018	121	56	avoid	avoid	VERB
fcis-30018	121	57	the	the	DET
fcis-30018	121	58	problem	problem	NOUN
fcis-30018	121	59	of	of	ADP
fcis-30018	121	60	color	color	NOUN
fcis-30018	121	61	overflow	overflow	NOUN
fcis-30018	121	62	or	or	CCONJ
fcis-30018	121	63	parallax	parallax	VERB
fcis-30018	121	64	error	error	NOUN
fcis-30018	121	65	.	.	PUNCT
fcis-30018	122	1	5	5	X
fcis-30018	122	2	.	.	X
fcis-30018	122	3	summary	summary	NOUN
fcis-30018	122	4	in	in	ADP
fcis-30018	122	5	this	this	DET
fcis-30018	122	6	paper	paper	NOUN
fcis-30018	122	7	,	,	PUNCT
fcis-30018	122	8	a	a	DET
fcis-30018	122	9	lightweight	lightweight	ADJ
fcis-30018	122	10	three	three	NUM
fcis-30018	122	11	-	-	PUNCT
fcis-30018	122	12	dimensional	dimensional	ADJ
fcis-30018	122	13	matching	matching	NOUN
fcis-30018	122	14	network	network	NOUN
fcis-30018	122	15	for	for	ADP
fcis-30018	122	16	3d	3d	NOUN
fcis-30018	122	17	reconstruction	reconstruction	NOUN
fcis-30018	122	18	of	of	ADP
fcis-30018	122	19	case	case	NOUN
fcis-30018	122	20	scenes	scene	NOUN
fcis-30018	122	21	is	be	AUX
fcis-30018	122	22	proposed	propose	VERB
fcis-30018	122	23	,	,	PUNCT
fcis-30018	122	24	which	which	PRON
fcis-30018	122	25	innovatively	innovatively	ADV
fcis-30018	122	26	integrates	integrate	VERB
fcis-30018	122	27	s2attention	s2attention	NOUN
fcis-30018	122	28	attention	attention	NOUN
fcis-30018	122	29	mechanism	mechanism	NOUN
fcis-30018	122	30	,	,	PUNCT
fcis-30018	122	31	spatial	spatial	ADJ
fcis-30018	122	32	adaptive	adaptive	ADJ
fcis-30018	122	33	feature	feature	NOUN
fcis-30018	122	34	fusion	fusion	NOUN
fcis-30018	122	35	module	module	NOUN
fcis-30018	122	36	(	(	PUNCT
fcis-30018	122	37	safm	safm	NOUN
fcis-30018	122	38	)	)	PUNCT
fcis-30018	122	39	and	and	CCONJ
fcis-30018	122	40	multi	multi	ADJ
fcis-30018	122	41	-	-	ADJ
fcis-30018	122	42	level	level	ADJ
fcis-30018	122	43	adaptive	adaptive	ADJ
fcis-30018	122	44	patch	patch	NOUN
fcis-30018	122	45	matching	matching	NOUN
fcis-30018	122	46	module	module	NOUN
fcis-30018	122	47	(	(	PUNCT
fcis-30018	122	48	mapm	mapm	NOUN
fcis-30018	122	49	)	)	PUNCT
fcis-30018	122	50	.	.	PUNCT
fcis-30018	123	1	by	by	ADP
fcis-30018	123	2	dynamically	dynamically	ADV
fcis-30018	123	3	enhancing	enhance	VERB
fcis-30018	123	4	feature	feature	NOUN
fcis-30018	123	5	extraction	extraction	NOUN
fcis-30018	123	6	in	in	ADP
fcis-30018	123	7	key	key	ADJ
fcis-30018	123	8	areas	area	NOUN
fcis-30018	123	9	to	to	PART
fcis-30018	123	10	express	express	VERB
fcis-30018	123	11	rich	rich	ADJ
fcis-30018	123	12	information	information	NOUN
fcis-30018	123	13	,	,	PUNCT
fcis-30018	123	14	optimizing	optimize	VERB
fcis-30018	123	15	edge	edge	NOUN
fcis-30018	123	16	fusion	fusion	NOUN
fcis-30018	123	17	strategies	strategy	NOUN
fcis-30018	123	18	and	and	CCONJ
fcis-30018	123	19	adaptive	adaptive	ADJ
fcis-30018	123	20	matching	matching	ADJ
fcis-30018	123	21	local	local	ADJ
fcis-30018	123	22	computing	computing	NOUN
fcis-30018	123	23	,	,	PUNCT
fcis-30018	123	24	the	the	DET
fcis-30018	123	25	matching	matching	NOUN
fcis-30018	123	26	accuracy	accuracy	NOUN
fcis-30018	123	27	in	in	ADP
fcis-30018	123	28	more	more	ADJ
fcis-30018	123	29	complex	complex	ADJ
fcis-30018	123	30	scenes	scene	NOUN
fcis-30018	123	31	(	(	PUNCT
fcis-30018	123	32	weak	weak	ADJ
fcis-30018	123	33	texture	texture	ADJ
fcis-30018	123	34	/	/	SYM
fcis-30018	123	35	occlusion	occlusion	NOUN
fcis-30018	123	36	)	)	PUNCT
fcis-30018	123	37	is	be	AUX
fcis-30018	123	38	significantly	significantly	ADV
fcis-30018	123	39	improved	improve	VERB
fcis-30018	123	40	.	.	PUNCT
fcis-30018	124	1	this	this	DET
fcis-30018	124	2	method	method	NOUN
fcis-30018	124	3	provides	provide	VERB
fcis-30018	124	4	reliable	reliable	ADJ
fcis-30018	124	5	technical	technical	ADJ
fcis-30018	124	6	support	support	NOUN
fcis-30018	124	7	for	for	ADP
fcis-30018	124	8	the	the	DET
fcis-30018	124	9	3d	3d	PROPN
fcis-30018	124	10	reconstruction	reconstruction	NOUN
fcis-30018	124	11	of	of	ADP
fcis-30018	124	12	traces	trace	NOUN
fcis-30018	124	13	and	and	CCONJ
fcis-30018	124	14	physical	physical	ADJ
fcis-30018	124	15	evidence	evidence	NOUN
fcis-30018	124	16	in	in	ADP
fcis-30018	124	17	judicial	judicial	ADJ
fcis-30018	124	18	forensics	forensic	NOUN
fcis-30018	124	19	with	with	ADP
fcis-30018	124	20	efficient	efficient	ADJ
fcis-30018	124	21	and	and	CCONJ
fcis-30018	124	22	accurate	accurate	ADJ
fcis-30018	124	23	matching	matching	NOUN
fcis-30018	124	24	characteristics	characteristic	NOUN
fcis-30018	124	25	,	,	PUNCT
fcis-30018	124	26	and	and	CCONJ
fcis-30018	124	27	has	have	VERB
fcis-30018	124	28	both	both	CCONJ
fcis-30018	124	29	academic	academic	ADJ
fcis-30018	124	30	innovation	innovation	NOUN
fcis-30018	124	31	and	and	CCONJ
fcis-30018	124	32	engineering	engineering	NOUN
fcis-30018	124	33	practical	practical	ADJ
fcis-30018	124	34	value	value	NOUN
fcis-30018	124	35	.	.	PUNCT
fcis-30018	125	1	references	reference	NOUN
fcis-30018	125	2	[	[	X
fcis-30018	125	3	1	1	NUM
fcis-30018	125	4	]	]	PUNCT
fcis-30018	125	5	moritz	moritz	PROPN
fcis-30018	125	6	menze	menze	PROPN
fcis-30018	125	7	,	,	PUNCT
fcis-30018	125	8	andreas	andreas	PROPN
fcis-30018	125	9	geiger	geiger	PROPN
fcis-30018	125	10	.	.	PUNCT
fcis-30018	126	1	object	object	NOUN
fcis-30018	126	2	scene	scene	NOUN
fcis-30018	126	3	flow	flow	NOUN
fcis-30018	126	4	for	for	ADP
fcis-30018	126	5	autonomous	autonomous	ADJ
fcis-30018	126	6	vehicles	vehicle	NOUN
fcis-30018	126	7	.	.	PUNCT
fcis-30018	127	1	[	[	X
fcis-30018	127	2	j	j	X
fcis-30018	127	3	]	]	X
fcis-30018	127	4	,	,	PUNCT
fcis-30018	127	5	computer	computer	NOUN
fcis-30018	127	6	vision	vision	NOUN
fcis-30018	127	7	and	and	CCONJ
fcis-30018	127	8	pattern	pattern	NOUN
fcis-30018	127	9	recognition	recognition	NOUN
fcis-30018	127	10	,	,	PUNCT
fcis-30018	127	11	2015	2015	NUM
fcis-30018	127	12	:	:	PUNCT
fcis-30018	127	13	3061	3061	NUM
fcis-30018	127	14	-	-	SYM
fcis-30018	127	15	3070	3070	NUM
fcis-30018	127	16	.	.	PUNCT
fcis-30018	128	1	[	[	X
fcis-30018	128	2	2	2	NUM
fcis-30018	128	3	]	]	PUNCT
fcis-30018	128	4	tianyuan	tianyuan	PROPN
fcis-30018	128	5	y	y	PROPN
fcis-30018	128	6	,	,	PUNCT
fcis-30018	128	7	mao	mao	PROPN
fcis-30018	128	8	y	y	PROPN
fcis-30018	128	9	,	,	PUNCT
fcis-30018	128	10	jiawei	jiawei	PROPN
fcis-30018	128	11	y	y	PROPN
fcis-30018	128	12	,	,	PUNCT
fcis-30018	128	13	yicheng	yicheng	PROPN
fcis-30018	128	14	l	l	PROPN
fcis-30018	128	15	,	,	PUNCT
fcis-30018	128	16	yue	yue	PROPN
fcis-30018	128	17	w	w	PROPN
fcis-30018	128	18	,	,	PUNCT
fcis-30018	128	19	hang	hang	PROPN
fcis-30018	128	20	z	z	PROPN
fcis-30018	128	21	,	,	PUNCT
fcis-30018	128	22	et	et	PROPN
fcis-30018	128	23	al	al	PROPN
fcis-30018	128	24	.	.	PROPN
fcis-30018	128	25	presight	presight	PROPN
fcis-30018	128	26	:	:	PUNCT
fcis-30018	128	27	enhancing	enhance	VERB
fcis-30018	128	28	autonomous	autonomous	ADJ
fcis-30018	128	29	vehicle	vehicle	NOUN
fcis-30018	128	30	perception	perception	NOUN
fcis-30018	128	31	with	with	ADP
fcis-30018	128	32	city	city	NOUN
fcis-30018	128	33	-	-	PUNCT
fcis-30018	128	34	scale	scale	NOUN
fcis-30018	128	35	nerf	nerf	NOUN
fcis-30018	128	36	priors[j	priors[j	PROPN
fcis-30018	128	37	]	]	PUNCT
fcis-30018	128	38	,	,	PUNCT
fcis-30018	128	39	eccv	eccv	ADJ
fcis-30018	128	40	2024	2024	NUM
fcis-30018	128	41	,	,	PUNCT
fcis-30018	128	42	2024	2024	NUM
fcis-30018	128	43	.	.	PUNCT
fcis-30018	129	1	[	[	X
fcis-30018	129	2	3	3	X
fcis-30018	129	3	]	]	X
fcis-30018	129	4	jonas	jonas	PROPN
fcis-30018	129	5	k	k	PROPN
fcis-30018	129	6	,	,	PUNCT
fcis-30018	129	7	songyou	songyou	PROPN
fcis-30018	129	8	p	p	X
fcis-30018	129	9	,	,	PUNCT
fcis-30018	129	10	zuzana	zuzana	PROPN
fcis-30018	129	11	k	k	PROPN
fcis-30018	129	12	,	,	PUNCT
fcis-30018	129	13	marc	marc	PROPN
fcis-30018	129	14	p	p	PROPN
fcis-30018	129	15	,	,	PUNCT
fcis-30018	129	16	torsten	torsten	PROPN
fcis-30018	129	17	s	s	PROPN
fcis-30018	129	18	,	,	PUNCT
fcis-30018	129	19	et	et	PROPN
fcis-30018	129	20	al	al	PROPN
fcis-30018	129	21	.	.	PUNCT
fcis-30018	129	22	wild	wild	ADJ
fcis-30018	129	23	gaussians	gaussians	PROPN
fcis-30018	129	24	:	:	PUNCT
fcis-30018	129	25	3d	3d	NUM
fcis-30018	129	26	gaussian	gaussian	ADJ
fcis-30018	129	27	splatting	splatting	NOUN
fcis-30018	129	28	in	in	ADP
fcis-30018	129	29	the	the	DET
fcis-30018	129	30	wild[j	wild[j	NOUN
fcis-30018	129	31	]	]	PUNCT
fcis-30018	129	32	,	,	PUNCT
fcis-30018	129	33	neurips	neurip	NOUN
fcis-30018	129	34	2024	2024	NUM
fcis-30018	129	35	,	,	PUNCT
fcis-30018	129	36	2024	2024	NUM
fcis-30018	129	37	.	.	PUNCT
fcis-30018	130	1	[	[	X
fcis-30018	130	2	4	4	X
fcis-30018	130	3	]	]	X
fcis-30018	130	4	thomas	thomas	PROPN
fcis-30018	130	5	m	m	PROPN
fcis-30018	130	6	,	,	PUNCT
fcis-30018	130	7	alex	alex	PROPN
fcis-30018	130	8	e	e	PROPN
fcis-30018	130	9	,	,	PUNCT
fcis-30018	130	10	christoph	christoph	PROPN
fcis-30018	130	11	s	s	PROPN
fcis-30018	130	12	,	,	PUNCT
fcis-30018	130	13	alexander	alexander	PROPN
fcis-30018	130	14	k	k	PROPN
fcis-30018	130	15	,	,	PUNCT
fcis-30018	130	16	et	et	PROPN
fcis-30018	130	17	al	al	PROPN
fcis-30018	130	18	.	.	PROPN
fcis-30018	130	19	instant	instant	ADJ
fcis-30018	130	20	neural	neural	ADJ
fcis-30018	130	21	graphics	graphic	NOUN
fcis-30018	130	22	primitives	primitive	NOUN
fcis-30018	130	23	with	with	ADP
fcis-30018	130	24	a	a	DET
fcis-30018	130	25	multiresolution	multiresolution	NOUN
fcis-30018	130	26	hash	hash	NOUN
fcis-30018	130	27	encoding	encoding	NOUN
fcis-30018	130	28	.	.	PUNCT
fcis-30018	131	1	[	[	X
fcis-30018	131	2	j	j	X
fcis-30018	131	3	]	]	X
fcis-30018	131	4	,	,	PUNCT
fcis-30018	131	5	acm	acm	PROPN
fcis-30018	131	6	transactions	transaction	NOUN
fcis-30018	131	7	on	on	ADP
fcis-30018	131	8	graphics	graphic	NOUN
fcis-30018	131	9	,	,	PUNCT
fcis-30018	131	10	2022	2022	NUM
fcis-30018	131	11	,	,	PUNCT
fcis-30018	131	12	41(4	41(4	NUM
fcis-30018	131	13	):	):	PUNCT
fcis-30018	131	14	115	115	NUM
fcis-30018	131	15	.	.	PUNCT
fcis-30018	132	1	[	[	X
fcis-30018	132	2	5	5	X
fcis-30018	132	3	]	]	PUNCT
fcis-30018	132	4	hao	hao	PROPN
fcis-30018	132	5	w	w	PROPN
fcis-30018	132	6	,	,	PUNCT
fcis-30018	132	7	jing	jing	NOUN
fcis-30018	132	8	h	h	NOUN
fcis-30018	132	9	,	,	PUNCT
fcis-30018	132	10	huili	huili	NOUN
fcis-30018	132	11	c	c	NOUN
fcis-30018	132	12	,	,	PUNCT
fcis-30018	132	13	haozhe	haozhe	PROPN
fcis-30018	132	14	l	l	PROPN
fcis-30018	132	15	,	,	PUNCT
fcis-30018	132	16	yu	yu	NOUN
fcis-30018	132	17	-	-	PUNCT
fcis-30018	132	18	kun	kun	PROPN
fcis-30018	132	19	l	l	PROPN
fcis-30018	132	20	,	,	PUNCT
fcis-30018	132	21	lu	lu	PROPN
fcis-30018	132	22	f	f	NOUN
fcis-30018	132	23	,	,	PUNCT
fcis-30018	132	24	kun	kun	PROPN
fcis-30018	132	25	l	l	PROPN
fcis-30018	132	26	,	,	PUNCT
fcis-30018	132	27	et	et	PROPN
fcis-30018	132	28	al	al	PROPN
fcis-30018	132	29	.	.	PROPN
fcis-30018	133	1	crowd3d	crowd3d	PROPN
fcis-30018	133	2	:	:	PUNCT
fcis-30018	133	3	towards	towards	ADP
fcis-30018	133	4	hundreds	hundred	NOUN
fcis-30018	133	5	of	of	ADP
fcis-30018	133	6	people	people	NOUN
fcis-30018	133	7	reconstruction	reconstruction	NOUN
fcis-30018	133	8	from	from	ADP
fcis-30018	133	9	a	a	DET
fcis-30018	133	10	single	single	ADJ
fcis-30018	133	11	image.[j	image.[j	NOUN
fcis-30018	133	12	]	]	PUNCT
fcis-30018	133	13	,	,	PUNCT
fcis-30018	133	14	computing	compute	VERB
fcis-30018	133	15	research	research	NOUN
fcis-30018	133	16	repository	repository	NOUN
fcis-30018	133	17	,	,	PUNCT
fcis-30018	133	18	2023	2023	NUM
fcis-30018	133	19	:	:	PUNCT
fcis-30018	133	20	8937	8937	NUM
fcis-30018	133	21	-	-	SYM
fcis-30018	133	22	8946	8946	NUM
fcis-30018	133	23	.	.	PUNCT
fcis-30018	134	1	[	[	X
fcis-30018	134	2	6	6	NUM
fcis-30018	134	3	]	]	X
fcis-30018	134	4	nikolaus	nikolaus	PROPN
fcis-30018	134	5	m	m	PROPN
fcis-30018	134	6	,	,	PUNCT
fcis-30018	134	7	eddy	eddy	PROPN
fcis-30018	134	8	i	i	PRON
fcis-30018	134	9	,	,	PUNCT
fcis-30018	134	10	philip	philip	PROPN
fcis-30018	134	11	h	h	PROPN
fcis-30018	134	12	,	,	PUNCT
fcis-30018	134	13	philipp	philipp	PROPN
fcis-30018	134	14	f	f	PROPN
fcis-30018	134	15	,	,	PUNCT
fcis-30018	134	16	daniel	daniel	PROPN
fcis-30018	134	17	c	c	PROPN
fcis-30018	134	18	,	,	PUNCT
fcis-30018	134	19	alexey	alexey	PROPN
fcis-30018	134	20	d	d	PROPN
fcis-30018	134	21	,	,	PUNCT
fcis-30018	134	22	thomas	thomas	PROPN
fcis-30018	134	23	b	b	PROPN
fcis-30018	134	24	,	,	PUNCT
fcis-30018	134	25	et	et	PROPN
fcis-30018	134	26	al	al	PROPN
fcis-30018	134	27	.	.	PUNCT
fcis-30018	135	1	a	a	DET
fcis-30018	135	2	large	large	ADJ
fcis-30018	135	3	dataset	dataset	NOUN
fcis-30018	135	4	to	to	PART
fcis-30018	135	5	train	train	VERB
fcis-30018	135	6	convolutional	convolutional	ADJ
fcis-30018	135	7	networks	network	NOUN
fcis-30018	135	8	for	for	ADP
fcis-30018	135	9	disparity	disparity	NOUN
fcis-30018	135	10	,	,	PUNCT
fcis-30018	135	11	optical	optical	ADJ
fcis-30018	135	12	flow	flow	NOUN
fcis-30018	135	13	,	,	PUNCT
fcis-30018	135	14	and	and	CCONJ
fcis-30018	135	15	scene	scene	NOUN
fcis-30018	135	16	flow	flow	NOUN
fcis-30018	135	17	estimation[j	estimation[j	PROPN
fcis-30018	135	18	]	]	PUNCT
fcis-30018	135	19	,	,	PUNCT
fcis-30018	135	20	computing	compute	VERB
fcis-30018	135	21	research	research	NOUN
fcis-30018	135	22	repository	repository	NOUN
fcis-30018	135	23	,	,	PUNCT
fcis-30018	135	24	2016	2016	NUM
fcis-30018	135	25	,	,	PUNCT
fcis-30018	135	26	abs/	abs/	ADJ
fcis-30018	135	27	1512	1512	NUM
fcis-30018	135	28	.	.	PUNCT
fcis-30018	136	1	02134	02134	NUM
fcis-30018	136	2	(	(	PUNCT
fcis-30018	136	3	1	1	NUM
fcis-30018	136	4	):	):	PUNCT
fcis-30018	136	5	4040	4040	NUM
fcis-30018	136	6	-	-	SYM
fcis-30018	136	7	4048	4048	NUM
fcis-30018	136	8	.	.	PUNCT
fcis-30018	137	1	[	[	X
fcis-30018	137	2	7	7	X
fcis-30018	137	3	]	]	X
fcis-30018	137	4	alex	alex	PROPN
fcis-30018	137	5	k	k	PROPN
fcis-30018	137	6	,	,	PUNCT
fcis-30018	137	7	hayk	hayk	PROPN
fcis-30018	137	8	m	m	PROPN
fcis-30018	137	9	,	,	PUNCT
fcis-30018	137	10	saumitro	saumitro	ADJ
fcis-30018	137	11	d	d	PROPN
fcis-30018	137	12	,	,	PUNCT
fcis-30018	137	13	peter	peter	PROPN
fcis-30018	137	14	h	h	PROPN
fcis-30018	137	15	,	,	PUNCT
fcis-30018	137	16	ryan	ryan	PROPN
fcis-30018	137	17	k	k	PROPN
fcis-30018	137	18	,	,	PUNCT
fcis-30018	137	19	abraham	abraham	PROPN
fcis-30018	137	20	b	b	PROPN
fcis-30018	137	21	,	,	PUNCT
fcis-30018	137	22	adam	adam	PROPN
fcis-30018	137	23	b	b	PROPN
fcis-30018	137	24	,	,	PUNCT
fcis-30018	137	25	et	et	PROPN
fcis-30018	137	26	al	al	PROPN
fcis-30018	137	27	.	.	PROPN
fcis-30018	137	28	end	end	PROPN
fcis-30018	137	29	-	-	PUNCT
fcis-30018	137	30	to	to	ADP
fcis-30018	137	31	-	-	PUNCT
fcis-30018	137	32	end	end	NOUN
fcis-30018	137	33	learning	learning	NOUN
fcis-30018	137	34	of	of	ADP
fcis-30018	137	35	geometry	geometry	NOUN
fcis-30018	137	36	and	and	CCONJ
fcis-30018	137	37	context	context	NOUN
fcis-30018	137	38	for	for	ADP
fcis-30018	137	39	deep	deep	ADJ
fcis-30018	137	40	stereo	stereo	NOUN
fcis-30018	137	41	regression.[c	regression.[c	PROPN
fcis-30018	137	42	]	]	PUNCT
fcis-30018	137	43	,	,	PUNCT
fcis-30018	137	44	ieee	ieee	PROPN
fcis-30018	137	45	international	international	ADJ
fcis-30018	137	46	conference	conference	NOUN
fcis-30018	137	47	on	on	ADP
fcis-30018	137	48	computer	computer	NOUN
fcis-30018	137	49	vision	vision	NOUN
fcis-30018	137	50	,	,	PUNCT
fcis-30018	137	51	2017	2017	NUM
fcis-30018	137	52	.	.	PUNCT
fcis-30018	138	1	[	[	X
fcis-30018	138	2	8	8	NUM
fcis-30018	138	3	]	]	X
fcis-30018	138	4	jia	jia	PROPN
fcis-30018	138	5	-	-	PROPN
fcis-30018	138	6	ren	ren	PROPN
fcis-30018	138	7	chang	chang	PROPN
fcis-30018	138	8	,	,	PUNCT
fcis-30018	138	9	yong	yong	PROPN
fcis-30018	138	10	-	-	PUNCT
fcis-30018	138	11	sheng	sheng	PROPN
fcis-30018	138	12	chen	chen	PROPN
fcis-30018	138	13	.	.	PUNCT
fcis-30018	139	1	pyramid	pyramid	PROPN
fcis-30018	139	2	stereo	stereo	PROPN
fcis-30018	139	3	matching	matching	PROPN
fcis-30018	139	4	network[j	network[j	PROPN
fcis-30018	139	5	]	]	PUNCT
fcis-30018	139	6	,	,	PUNCT
fcis-30018	139	7	corr	corr	NOUN
fcis-30018	139	8	,	,	PUNCT
fcis-30018	139	9	2018	2018	NUM
fcis-30018	139	10	,	,	PUNCT
fcis-30018	139	11	abs/1803.08669	abs/1803.08669	PROPN
fcis-30018	139	12	:	:	PUNCT
fcis-30018	139	13	5410	5410	NUM
fcis-30018	139	14	-	-	SYM
fcis-30018	139	15	5418	5418	NUM
fcis-30018	139	16	.	.	PUNCT
fcis-30018	140	1	[	[	X
fcis-30018	140	2	9	9	NUM
fcis-30018	140	3	]	]	PUNCT
fcis-30018	140	4	xiaoyang	xiaoyang	PROPN
fcis-30018	140	5	g	g	PROPN
fcis-30018	140	6	,	,	PUNCT
fcis-30018	140	7	kai	kai	PROPN
fcis-30018	140	8	y	y	PROPN
fcis-30018	140	9	,	,	PUNCT
fcis-30018	140	10	wukui	wukui	PROPN
fcis-30018	140	11	y	y	PROPN
fcis-30018	140	12	,	,	PUNCT
fcis-30018	140	13	xiaogang	xiaogang	PROPN
fcis-30018	140	14	w	w	PROPN
fcis-30018	140	15	,	,	PUNCT
fcis-30018	140	16	hongsheng	hongsheng	PROPN
fcis-30018	140	17	l	l	PROPN
fcis-30018	140	18	,	,	PUNCT
fcis-30018	140	19	et	et	PROPN
fcis-30018	140	20	al	al	PROPN
fcis-30018	140	21	.	.	PROPN
fcis-30018	140	22	group	group	PROPN
fcis-30018	140	23	-	-	PUNCT
fcis-30018	140	24	wise	wise	ADJ
fcis-30018	140	25	correlation	correlation	NOUN
fcis-30018	140	26	stereo	stereo	PROPN
fcis-30018	140	27	network[j	network[j	PROPN
fcis-30018	140	28	]	]	PUNCT
fcis-30018	140	29	,	,	PUNCT
fcis-30018	140	30	computer	computer	NOUN
fcis-30018	140	31	vision	vision	NOUN
fcis-30018	140	32	and	and	CCONJ
fcis-30018	140	33	pattern	pattern	NOUN
fcis-30018	140	34	recognition	recognition	NOUN
fcis-30018	140	35	,	,	PUNCT
fcis-30018	140	36	2019	2019	NUM
fcis-30018	140	37	:	:	PUNCT
fcis-30018	140	38	3268	3268	NUM
fcis-30018	140	39	-	-	SYM
fcis-30018	140	40	3277	3277	NUM
fcis-30018	140	41	.	.	PUNCT
fcis-30018	141	1	[	[	X
fcis-30018	141	2	10	10	NUM
fcis-30018	141	3	]	]	X
fcis-30018	141	4	sameh	sameh	NOUN
fcis-30018	141	5	k	k	PROPN
fcis-30018	141	6	,	,	PUNCT
fcis-30018	141	7	sean	sean	PROPN
fcis-30018	141	8	f	f	PROPN
fcis-30018	141	9	,	,	PUNCT
fcis-30018	141	10	christoph	christoph	PROPN
fcis-30018	141	11	r	r	PROPN
fcis-30018	141	12	,	,	PUNCT
fcis-30018	141	13	adarsh	adarsh	PROPN
fcis-30018	141	14	k	k	PROPN
fcis-30018	141	15	,	,	PUNCT
fcis-30018	141	16	julien	julien	PROPN
fcis-30018	141	17	v	v	PROPN
fcis-30018	141	18	,	,	PUNCT
fcis-30018	141	19	shahram	shahram	PROPN
fcis-30018	141	20	i	i	PROPN
fcis-30018	141	21	,	,	PUNCT
fcis-30018	141	22	et	et	PROPN
fcis-30018	141	23	al	al	PROPN
fcis-30018	141	24	.	.	PROPN
fcis-30018	141	25	stereonet	stereonet	PROPN
fcis-30018	141	26	:	:	PUNCT
fcis-30018	141	27	guided	guide	VERB
fcis-30018	141	28	hierarchical	hierarchical	ADJ
fcis-30018	141	29	refinement	refinement	NOUN
fcis-30018	141	30	for	for	ADP
fcis-30018	141	31	realtime	realtime	ADJ
fcis-30018	141	32	edge	edge	NOUN
fcis-30018	141	33	-	-	PUNCT
fcis-30018	141	34	aware	aware	ADJ
fcis-30018	141	35	depth	depth	NOUN
fcis-30018	141	36	prediction.[j	prediction.[j	NOUN
fcis-30018	141	37	]	]	PUNCT
fcis-30018	141	38	,	,	PUNCT
fcis-30018	141	39	computer	computer	NOUN
fcis-30018	141	40	vision	vision	NOUN
fcis-30018	141	41	–	–	PUNCT
fcis-30018	141	42	eccv	eccv	ADJ
fcis-30018	141	43	2018	2018	NUM
fcis-30018	141	44	lecture	lecture	NOUN
fcis-30018	141	45	notes	note	NOUN
fcis-30018	141	46	in	in	ADP
fcis-30018	141	47	computer	computer	NOUN
fcis-30018	141	48	science	science	NOUN
fcis-30018	141	49	,	,	PUNCT
fcis-30018	141	50	2018	2018	NUM
fcis-30018	141	51	:	:	PUNCT
fcis-30018	141	52	596613	596613	NUM
fcis-30018	141	53	.	.	PUNCT
fcis-30018	142	1	[	[	X
fcis-30018	142	2	11	11	NUM
fcis-30018	142	3	]	]	PUNCT
fcis-30018	142	4	feihu	feihu	PROPN
fcis-30018	142	5	z	z	PROPN
fcis-30018	142	6	,	,	PUNCT
fcis-30018	142	7	victor	victor	PROPN
fcis-30018	142	8	a	a	DET
fcis-30018	142	9	p	p	X
fcis-30018	142	10	,	,	PUNCT
fcis-30018	142	11	ruigang	ruigang	PROPN
fcis-30018	142	12	y	y	PROPN
fcis-30018	142	13	,	,	PUNCT
fcis-30018	143	1	philip	philip	PROPN
fcis-30018	143	2	h	h	PROPN
fcis-30018	143	3	s	s	PROPN
fcis-30018	143	4	t	t	PROPN
fcis-30018	143	5	,	,	PUNCT
fcis-30018	143	6	et	et	PROPN
fcis-30018	143	7	al	al	PROPN
fcis-30018	143	8	.	.	PROPN
fcis-30018	143	9	ga	ga	PROPN
fcis-30018	143	10	-	-	PUNCT
fcis-30018	143	11	net	net	NOUN
fcis-30018	143	12	:	:	PUNCT
fcis-30018	143	13	guided	guide	VERB
fcis-30018	143	14	aggregation	aggregation	NOUN
fcis-30018	143	15	net	net	NOUN
fcis-30018	143	16	for	for	ADP
fcis-30018	143	17	end	end	NOUN
fcis-30018	143	18	-	-	PUNCT
fcis-30018	143	19	to	to	ADP
fcis-30018	143	20	-	-	PUNCT
fcis-30018	143	21	end	end	NOUN
fcis-30018	143	22	stereo	stereo	PROPN
fcis-30018	143	23	matching[j	matching[j	PROPN
fcis-30018	143	24	]	]	PUNCT
fcis-30018	143	25	,	,	PUNCT
fcis-30018	143	26	2019	2019	NUM
fcis-30018	143	27	ieee	ieee	NOUN
fcis-30018	143	28	/	/	SYM
fcis-30018	143	29	cvf	cvf	NOUN
fcis-30018	143	30	conference	conference	NOUN
fcis-30018	143	31	on	on	ADP
fcis-30018	143	32	computer	computer	NOUN
fcis-30018	143	33	vision	vision	NOUN
fcis-30018	143	34	and	and	CCONJ
fcis-30018	143	35	pattern	pattern	NOUN
fcis-30018	143	36	recognition	recognition	NOUN
fcis-30018	143	37	(	(	PUNCT
fcis-30018	143	38	cvpr	cvpr	NOUN
fcis-30018	143	39	)	)	PUNCT
fcis-30018	143	40	,	,	PUNCT
fcis-30018	143	41	2019	2019	NUM
fcis-30018	143	42	,	,	PUNCT
fcis-30018	143	43	abs/1904.06587	abs/1904.06587	NUM
fcis-30018	143	44	:	:	PUNCT
fcis-30018	143	45	185	185	NUM
fcis-30018	143	46	-	-	SYM
fcis-30018	143	47	194	194	NUM
fcis-30018	143	48	.	.	PUNCT
fcis-30018	144	1	[	[	X
fcis-30018	144	2	12	12	NUM
fcis-30018	144	3	]	]	X
fcis-30018	144	4	nikolaus	nikolaus	PROPN
fcis-30018	144	5	m	m	PROPN
fcis-30018	144	6	,	,	PUNCT
fcis-30018	144	7	eddy	eddy	PROPN
fcis-30018	144	8	i	i	PRON
fcis-30018	144	9	,	,	PUNCT
fcis-30018	144	10	philip	philip	PROPN
fcis-30018	144	11	h	h	PROPN
fcis-30018	144	12	,	,	PUNCT
fcis-30018	144	13	philipp	philipp	PROPN
fcis-30018	144	14	f	f	PROPN
fcis-30018	144	15	,	,	PUNCT
fcis-30018	144	16	daniel	daniel	PROPN
fcis-30018	144	17	c	c	PROPN
fcis-30018	144	18	,	,	PUNCT
fcis-30018	144	19	alexey	alexey	PROPN
fcis-30018	144	20	d	d	PROPN
fcis-30018	144	21	,	,	PUNCT
fcis-30018	144	22	thomas	thomas	PROPN
fcis-30018	144	23	b	b	PROPN
fcis-30018	144	24	,	,	PUNCT
fcis-30018	144	25	et	et	PROPN
fcis-30018	144	26	al	al	PROPN
fcis-30018	144	27	.	.	PUNCT
fcis-30018	145	1	a	a	DET
fcis-30018	145	2	large	large	ADJ
fcis-30018	145	3	dataset	dataset	NOUN
fcis-30018	145	4	to	to	PART
fcis-30018	145	5	train	train	VERB
fcis-30018	145	6	convolutional	convolutional	ADJ
fcis-30018	145	7	networks	network	NOUN
fcis-30018	145	8	for	for	ADP
fcis-30018	145	9	disparity	disparity	NOUN
fcis-30018	145	10	,	,	PUNCT
fcis-30018	145	11	optical	optical	ADJ
fcis-30018	145	12	flow	flow	NOUN
fcis-30018	145	13	,	,	PUNCT
fcis-30018	145	14	and	and	CCONJ
fcis-30018	145	15	scene	scene	NOUN
fcis-30018	145	16	flow	flow	NOUN
fcis-30018	145	17	estimation[j	estimation[j	PROPN
fcis-30018	145	18	]	]	PUNCT
fcis-30018	145	19	,	,	PUNCT
fcis-30018	145	20	computing	compute	VERB
fcis-30018	145	21	research	research	NOUN
fcis-30018	145	22	repository	repository	NOUN
fcis-30018	145	23	,	,	PUNCT
fcis-30018	145	24	2016	2016	NUM
fcis-30018	145	25	,	,	PUNCT
fcis-30018	145	26	abs/1512	abs/1512	NOUN
fcis-30018	145	27	.	.	PUNCT
fcis-30018	146	1	02134(1	02134(1	NOUN
fcis-30018	146	2	):	):	PUNCT
fcis-30018	146	3	4040	4040	NUM
fcis-30018	146	4	-	-	SYM
fcis-30018	146	5	4048	4048	NUM
fcis-30018	146	6	.	.	PUNCT
fcis-30018	147	1	[	[	X
fcis-30018	147	2	13	13	NUM
fcis-30018	147	3	]	]	PUNCT
fcis-30018	147	4	jure	jure	NOUN
fcis-30018	147	5	zbontar	zbontar	NOUN
fcis-30018	147	6	,	,	PUNCT
fcis-30018	147	7	yann	yann	PROPN
fcis-30018	147	8	lecun	lecun	PROPN
fcis-30018	147	9	.	.	PUNCT
fcis-30018	148	1	computing	compute	VERB
fcis-30018	148	2	the	the	DET
fcis-30018	148	3	stereo	stereo	NOUN
fcis-30018	148	4	matching	matching	NOUN
fcis-30018	148	5	cost	cost	NOUN
fcis-30018	148	6	with	with	ADP
fcis-30018	148	7	a	a	DET
fcis-30018	148	8	convolutional	convolutional	ADJ
fcis-30018	148	9	neural	neural	NOUN
fcis-30018	148	10	network[c	network[c	PROPN
fcis-30018	148	11	]	]	X
fcis-30018	148	12	,	,	PUNCT
fcis-30018	148	13	computer	computer	NOUN
fcis-30018	148	14	vision	vision	NOUN
fcis-30018	148	15	and	and	CCONJ
fcis-30018	148	16	pattern	pattern	NOUN
fcis-30018	148	17	recognition	recognition	NOUN
fcis-30018	148	18	,	,	PUNCT
fcis-30018	148	19	2015	2015	NUM
fcis-30018	148	20	:	:	PUNCT
fcis-30018	148	21	1592	1592	NUM
fcis-30018	148	22	-	-	SYM
fcis-30018	148	23	1599	1599	NUM
fcis-30018	148	24	.	.	PUNCT
fcis-30018	149	1	[	[	X
fcis-30018	149	2	14	14	NUM
fcis-30018	149	3	]	]	PUNCT
fcis-30018	149	4	zhengfa	zhengfa	PROPN
fcis-30018	149	5	l	l	NOUN
fcis-30018	149	6	,	,	PUNCT
fcis-30018	149	7	yiliu	yiliu	PROPN
fcis-30018	149	8	f	f	PROPN
fcis-30018	149	9	,	,	PUNCT
fcis-30018	149	10	yulan	yulan	PROPN
fcis-30018	149	11	g	g	PROPN
fcis-30018	149	12	,	,	PUNCT
fcis-30018	149	13	hengzhu	hengzhu	PROPN
fcis-30018	149	14	l	l	PROPN
fcis-30018	149	15	,	,	PUNCT
fcis-30018	149	16	wei	wei	PROPN
fcis-30018	149	17	c	c	PROPN
fcis-30018	149	18	,	,	PUNCT
fcis-30018	149	19	linbo	linbo	PROPN
fcis-30018	149	20	q	q	PROPN
fcis-30018	149	21	,	,	PUNCT
fcis-30018	149	22	li	li	PROPN
fcis-30018	149	23	z	z	PROPN
fcis-30018	149	24	,	,	PUNCT
fcis-30018	149	25	jianfeng	jianfeng	PROPN
fcis-30018	149	26	z	z	PROPN
fcis-30018	149	27	,	,	PUNCT
fcis-30018	149	28	et	et	PROPN
fcis-30018	149	29	al	al	PROPN
fcis-30018	149	30	.	.	PUNCT
fcis-30018	150	1	learning	learn	VERB
fcis-30018	150	2	for	for	ADP
fcis-30018	150	3	disparity	disparity	NOUN
fcis-30018	150	4	estimation	estimation	NOUN
fcis-30018	150	5	through	through	ADP
fcis-30018	150	6	feature	feature	NOUN
fcis-30018	150	7	constancy[c	constancy[c	NOUN
fcis-30018	150	8	]	]	PUNCT
fcis-30018	150	9	,	,	PUNCT
fcis-30018	150	10	computer	computer	NOUN
fcis-30018	150	11	vision	vision	NOUN
fcis-30018	150	12	and	and	CCONJ
fcis-30018	150	13	pattern	pattern	NOUN
fcis-30018	150	14	recognition	recognition	NOUN
fcis-30018	150	15	,	,	PUNCT
fcis-30018	150	16	2017	2017	NUM
fcis-30018	150	17	.	.	PUNCT
fcis-30018	151	1	[	[	X
fcis-30018	151	2	15	15	NUM
fcis-30018	151	3	]	]	X
fcis-30018	151	4	guorun	guorun	PROPN
fcis-30018	151	5	y	y	PROPN
fcis-30018	151	6	,	,	PUNCT
fcis-30018	151	7	hengshuang	hengshuang	PROPN
fcis-30018	151	8	z	z	PROPN
fcis-30018	151	9	,	,	PUNCT
fcis-30018	151	10	jianping	jianpe	VERB
fcis-30018	151	11	s	s	PROPN
fcis-30018	151	12	,	,	PUNCT
fcis-30018	151	13	zhidong	zhidong	PROPN
fcis-30018	151	14	d	d	PROPN
fcis-30018	151	15	,	,	PUNCT
fcis-30018	151	16	jiaya	jiaya	PROPN
fcis-30018	151	17	j	j	PROPN
fcis-30018	151	18	,	,	PUNCT
fcis-30018	151	19	et	et	PROPN
fcis-30018	151	20	al	al	PROPN
fcis-30018	151	21	.	.	PROPN
fcis-30018	151	22	segstereo	segstereo	PROPN
fcis-30018	151	23	:	:	PUNCT
fcis-30018	151	24	exploiting	exploit	VERB
fcis-30018	151	25	semantic	semantic	ADJ
fcis-30018	151	26	information	information	NOUN
fcis-30018	151	27	for	for	ADP
fcis-30018	151	28	disparity	disparity	NOUN
fcis-30018	151	29	estimation	estimation	NOUN
fcis-30018	151	30	.	.	PUNCT
fcis-30018	152	1	[	[	X
fcis-30018	152	2	j	j	X
fcis-30018	152	3	]	]	X
fcis-30018	152	4	,	,	PUNCT
fcis-30018	152	5	arxiv	arxiv	PROPN
fcis-30018	152	6	(	(	PUNCT
fcis-30018	152	7	cornell	cornell	PROPN
fcis-30018	152	8	university	university	PROPN
fcis-30018	152	9	)	)	PUNCT
fcis-30018	152	10	,	,	PUNCT
fcis-30018	152	11	2018	2018	NUM
fcis-30018	152	12	,	,	PUNCT
fcis-30018	152	13	abs/1807	abs/1807	VERB
fcis-30018	152	14	.	.	PROPN
fcis-30018	152	15	11699	11699	NUM
fcis-30018	152	16	:	:	PUNCT
fcis-30018	152	17	660	660	NUM
fcis-30018	152	18	-	-	SYM
fcis-30018	152	19	676	676	NUM
fcis-30018	152	20	.	.	PUNCT