id	sid	tid	token	lemma	pos
ajst-5248	1	1	academic	academic	ADJ
ajst-5248	1	2	journal	journal	NOUN
ajst-5248	1	3	of	of	ADP
ajst-5248	1	4	science	science	NOUN
ajst-5248	1	5	and	and	CCONJ
ajst-5248	1	6	technology	technology	NOUN
ajst-5248	1	7	issn	issn	NOUN
ajst-5248	1	8	:	:	PUNCT
ajst-5248	1	9	2771	2771	NUM
ajst-5248	1	10	-	-	SYM
ajst-5248	1	11	3032	3032	NUM
ajst-5248	1	12	|	|	NOUN
ajst-5248	1	13	vol	vol	NOUN
ajst-5248	1	14	.	.	PROPN
ajst-5248	2	1	5	5	NUM
ajst-5248	2	2	,	,	PUNCT
ajst-5248	2	3	no	no	INTJ
ajst-5248	2	4	.	.	NOUN
ajst-5248	2	5	1	1	NUM
ajst-5248	2	6	,	,	PUNCT
ajst-5248	2	7	2023	2023	NUM
ajst-5248	2	8	13	13	NUM
ajst-5248	2	9	a	a	DET
ajst-5248	2	10	survey	survey	NOUN
ajst-5248	2	11	of	of	ADP
ajst-5248	2	12	image	image	NOUN
ajst-5248	2	13	semantic	semantic	ADJ
ajst-5248	2	14	segmentation	segmentation	NOUN
ajst-5248	2	15	algorithm	algorithm	NOUN
ajst-5248	2	16	based	base	VERB
ajst-5248	2	17	on	on	ADP
ajst-5248	2	18	deep	deep	ADJ
ajst-5248	2	19	learning	learning	NOUN
ajst-5248	2	20	jian	jian	PROPN
ajst-5248	2	21	chen1	chen1	PROPN
ajst-5248	2	22	,	,	PUNCT
ajst-5248	2	23	fen	fen	PROPN
ajst-5248	2	24	luo1	luo1	PROPN
ajst-5248	2	25	,	,	PUNCT
ajst-5248	2	26	*	*	PROPN
ajst-5248	2	27	1	1	NUM
ajst-5248	2	28	school	school	NOUN
ajst-5248	2	29	of	of	ADP
ajst-5248	2	30	software	software	NOUN
ajst-5248	2	31	,	,	PUNCT
ajst-5248	2	32	henan	henan	PROPN
ajst-5248	2	33	polytechnic	polytechnic	PROPN
ajst-5248	2	34	university	university	PROPN
ajst-5248	2	35	,	,	PUNCT
ajst-5248	2	36	china	china	PROPN
ajst-5248	2	37	*	*	PUNCT
ajst-5248	2	38	corresponding	correspond	VERB
ajst-5248	2	39	author	author	NOUN
ajst-5248	2	40	:	:	PUNCT
ajst-5248	2	41	fen	fen	PROPN
ajst-5248	2	42	luo	luo	PROPN
ajst-5248	2	43	(	(	PUNCT
ajst-5248	2	44	email	email	NOUN
ajst-5248	2	45	:	:	PUNCT
ajst-5248	2	46	luofenjsj@hpu.edu.cn	luofenjsj@hpu.edu.cn	ADJ
ajst-5248	2	47	)	)	PUNCT
ajst-5248	2	48	abstract	abstract	NOUN
ajst-5248	2	49	:	:	PUNCT
ajst-5248	2	50	image	image	NOUN
ajst-5248	2	51	semantic	semantic	ADJ
ajst-5248	2	52	segmentation	segmentation	NOUN
ajst-5248	2	53	technology	technology	NOUN
ajst-5248	2	54	is	be	AUX
ajst-5248	2	55	one	one	NUM
ajst-5248	2	56	of	of	ADP
ajst-5248	2	57	the	the	DET
ajst-5248	2	58	core	core	NOUN
ajst-5248	2	59	research	research	NOUN
ajst-5248	2	60	contents	content	NOUN
ajst-5248	2	61	in	in	ADP
ajst-5248	2	62	the	the	DET
ajst-5248	2	63	field	field	NOUN
ajst-5248	2	64	of	of	ADP
ajst-5248	2	65	computer	computer	NOUN
ajst-5248	2	66	vision	vision	NOUN
ajst-5248	2	67	,	,	PUNCT
ajst-5248	2	68	and	and	CCONJ
ajst-5248	2	69	has	have	VERB
ajst-5248	2	70	a	a	DET
ajst-5248	2	71	wide	wide	ADJ
ajst-5248	2	72	range	range	NOUN
ajst-5248	2	73	of	of	ADP
ajst-5248	2	74	applications	application	NOUN
ajst-5248	2	75	in	in	ADP
ajst-5248	2	76	production	production	NOUN
ajst-5248	2	77	and	and	CCONJ
ajst-5248	2	78	life	life	NOUN
ajst-5248	2	79	.	.	PUNCT
ajst-5248	3	1	with	with	ADP
ajst-5248	3	2	the	the	DET
ajst-5248	3	3	improvement	improvement	NOUN
ajst-5248	3	4	of	of	ADP
ajst-5248	3	5	computer	computer	NOUN
ajst-5248	3	6	performance	performance	NOUN
ajst-5248	3	7	and	and	CCONJ
ajst-5248	3	8	the	the	DET
ajst-5248	3	9	continuous	continuous	ADJ
ajst-5248	3	10	development	development	NOUN
ajst-5248	3	11	of	of	ADP
ajst-5248	3	12	deep	deep	ADJ
ajst-5248	3	13	learning	learning	NOUN
ajst-5248	3	14	technology	technology	NOUN
ajst-5248	3	15	,	,	PUNCT
ajst-5248	3	16	researchers	researcher	NOUN
ajst-5248	3	17	have	have	VERB
ajst-5248	3	18	increasingly	increasingly	ADV
ajst-5248	3	19	high	high	ADJ
ajst-5248	3	20	research	research	NOUN
ajst-5248	3	21	enthusiasm	enthusiasm	NOUN
ajst-5248	3	22	for	for	ADP
ajst-5248	3	23	the	the	DET
ajst-5248	3	24	performance	performance	NOUN
ajst-5248	3	25	of	of	ADP
ajst-5248	3	26	image	image	NOUN
ajst-5248	3	27	semantic	semantic	ADJ
ajst-5248	3	28	segmentation	segmentation	NOUN
ajst-5248	3	29	.	.	PUNCT
ajst-5248	4	1	this	this	DET
ajst-5248	4	2	paper	paper	NOUN
ajst-5248	4	3	summarizes	summarize	VERB
ajst-5248	4	4	the	the	DET
ajst-5248	4	5	research	research	NOUN
ajst-5248	4	6	status	status	NOUN
ajst-5248	4	7	of	of	ADP
ajst-5248	4	8	image	image	NOUN
ajst-5248	4	9	semantic	semantic	ADJ
ajst-5248	4	10	segmentation	segmentation	NOUN
ajst-5248	4	11	based	base	VERB
ajst-5248	4	12	on	on	ADP
ajst-5248	4	13	deep	deep	ADJ
ajst-5248	4	14	learning	learning	NOUN
ajst-5248	4	15	and	and	CCONJ
ajst-5248	4	16	introduces	introduce	VERB
ajst-5248	4	17	the	the	DET
ajst-5248	4	18	common	common	ADJ
ajst-5248	4	19	datasets	dataset	NOUN
ajst-5248	4	20	used	use	VERB
ajst-5248	4	21	in	in	ADP
ajst-5248	4	22	the	the	DET
ajst-5248	4	23	field	field	NOUN
ajst-5248	4	24	of	of	ADP
ajst-5248	4	25	semantic	semantic	ADJ
ajst-5248	4	26	segmentation	segmentation	NOUN
ajst-5248	4	27	.	.	PUNCT
ajst-5248	5	1	finally	finally	ADV
ajst-5248	5	2	,	,	PUNCT
ajst-5248	5	3	we	we	PRON
ajst-5248	5	4	point	point	VERB
ajst-5248	5	5	out	out	ADP
ajst-5248	5	6	the	the	DET
ajst-5248	5	7	existing	exist	VERB
ajst-5248	5	8	problems	problem	NOUN
ajst-5248	5	9	and	and	CCONJ
ajst-5248	5	10	future	future	ADJ
ajst-5248	5	11	development	development	NOUN
ajst-5248	5	12	trend	trend	NOUN
ajst-5248	5	13	of	of	ADP
ajst-5248	5	14	image	image	NOUN
ajst-5248	5	15	semantic	semantic	ADJ
ajst-5248	5	16	segmentation	segmentation	NOUN
ajst-5248	5	17	algorithms	algorithm	NOUN
ajst-5248	5	18	.	.	PUNCT
ajst-5248	6	1	keywords	keyword	NOUN
ajst-5248	6	2	:	:	PUNCT
ajst-5248	6	3	image	image	VERB
ajst-5248	6	4	semantic	semantic	ADJ
ajst-5248	6	5	segmentation	segmentation	NOUN
ajst-5248	6	6	,	,	PUNCT
ajst-5248	6	7	deep	deep	ADJ
ajst-5248	6	8	learning	learning	NOUN
ajst-5248	6	9	.	.	PUNCT
ajst-5248	7	1	1	1	X
ajst-5248	7	2	.	.	X
ajst-5248	7	3	introduction	introduction	NOUN
ajst-5248	7	4	image	image	NOUN
ajst-5248	7	5	semantic	semantic	ADJ
ajst-5248	7	6	segmentation	segmentation	NOUN
ajst-5248	7	7	is	be	AUX
ajst-5248	7	8	an	an	DET
ajst-5248	7	9	important	important	ADJ
ajst-5248	7	10	research	research	NOUN
ajst-5248	7	11	direction	direction	NOUN
ajst-5248	7	12	in	in	ADP
ajst-5248	7	13	the	the	DET
ajst-5248	7	14	field	field	NOUN
ajst-5248	7	15	of	of	ADP
ajst-5248	7	16	computer	computer	NOUN
ajst-5248	7	17	vision	vision	NOUN
ajst-5248	7	18	that	that	PRON
ajst-5248	7	19	aims	aim	VERB
ajst-5248	7	20	to	to	PART
ajst-5248	7	21	assign	assign	VERB
ajst-5248	7	22	each	each	DET
ajst-5248	7	23	pixel	pixel	NOUN
ajst-5248	7	24	in	in	ADP
ajst-5248	7	25	an	an	DET
ajst-5248	7	26	image	image	NOUN
ajst-5248	7	27	to	to	ADP
ajst-5248	7	28	the	the	DET
ajst-5248	7	29	target	target	NOUN
ajst-5248	7	30	category	category	NOUN
ajst-5248	7	31	to	to	PART
ajst-5248	7	32	which	which	PRON
ajst-5248	7	33	it	it	PRON
ajst-5248	7	34	belongs	belong	VERB
ajst-5248	7	35	.	.	PUNCT
ajst-5248	8	1	image	image	NOUN
ajst-5248	8	2	semantic	semantic	ADJ
ajst-5248	8	3	segmentation	segmentation	NOUN
ajst-5248	8	4	is	be	AUX
ajst-5248	8	5	important	important	ADJ
ajst-5248	8	6	for	for	ADP
ajst-5248	8	7	solving	solve	VERB
ajst-5248	8	8	many	many	ADJ
ajst-5248	8	9	practical	practical	ADJ
ajst-5248	8	10	problems	problem	NOUN
ajst-5248	8	11	,	,	PUNCT
ajst-5248	8	12	such	such	ADJ
ajst-5248	8	13	as	as	ADP
ajst-5248	8	14	autonomous	autonomous	ADJ
ajst-5248	8	15	driving	driving	NOUN
ajst-5248	8	16	,	,	PUNCT
ajst-5248	8	17	medical	medical	ADJ
ajst-5248	8	18	image	image	NOUN
ajst-5248	8	19	analysis	analysis	NOUN
ajst-5248	8	20	,	,	PUNCT
ajst-5248	8	21	remote	remote	ADJ
ajst-5248	8	22	sensing	sense	VERB
ajst-5248	8	23	image	image	NOUN
ajst-5248	8	24	analysis	analysis	NOUN
ajst-5248	8	25	,	,	PUNCT
ajst-5248	8	26	robot	robot	NOUN
ajst-5248	8	27	navigation	navigation	NOUN
ajst-5248	8	28	,	,	PUNCT
ajst-5248	8	29	etc	etc	X
ajst-5248	8	30	.	.	X
ajst-5248	8	31	traditional	traditional	ADJ
ajst-5248	8	32	segmentation	segmentation	NOUN
ajst-5248	8	33	methods	method	NOUN
ajst-5248	8	34	,	,	PUNCT
ajst-5248	8	35	such	such	ADJ
ajst-5248	8	36	as	as	ADP
ajst-5248	8	37	super	super	NOUN
ajst-5248	8	38	-	-	ADJ
ajst-5248	8	39	pixel	pixel	ADJ
ajst-5248	8	40	,	,	PUNCT
ajst-5248	8	41	watershed	watershe	VERB
ajst-5248	8	42	algorithm	algorithm	NOUN
ajst-5248	8	43	and	and	CCONJ
ajst-5248	8	44	graph	graph	NOUN
ajst-5248	8	45	algorithms	algorithm	NOUN
ajst-5248	8	46	,	,	PUNCT
ajst-5248	8	47	are	be	AUX
ajst-5248	8	48	based	base	VERB
ajst-5248	8	49	on	on	ADP
ajst-5248	8	50	the	the	DET
ajst-5248	8	51	physical	physical	ADJ
ajst-5248	8	52	properties	property	NOUN
ajst-5248	8	53	of	of	ADP
ajst-5248	8	54	the	the	DET
ajst-5248	8	55	images	image	NOUN
ajst-5248	8	56	.	.	PUNCT
ajst-5248	9	1	in	in	ADP
ajst-5248	9	2	recent	recent	ADJ
ajst-5248	9	3	years	year	NOUN
ajst-5248	9	4	,	,	PUNCT
ajst-5248	9	5	with	with	ADP
ajst-5248	9	6	the	the	DET
ajst-5248	9	7	development	development	NOUN
ajst-5248	9	8	of	of	ADP
ajst-5248	9	9	deep	deep	ADJ
ajst-5248	9	10	learning	learning	NOUN
ajst-5248	9	11	,	,	PUNCT
ajst-5248	9	12	the	the	DET
ajst-5248	9	13	image	image	NOUN
ajst-5248	9	14	semantic	semantic	ADJ
ajst-5248	9	15	segmentation	segmentation	NOUN
ajst-5248	9	16	technology	technology	NOUN
ajst-5248	9	17	has	have	AUX
ajst-5248	9	18	been	be	AUX
ajst-5248	9	19	rapidly	rapidly	ADV
ajst-5248	9	20	improved	improve	VERB
ajst-5248	9	21	.	.	PUNCT
ajst-5248	10	1	these	these	DET
ajst-5248	10	2	algorithms	algorithm	NOUN
ajst-5248	10	3	use	use	VERB
ajst-5248	10	4	large	large	ADJ
ajst-5248	10	5	amounts	amount	NOUN
ajst-5248	10	6	of	of	ADP
ajst-5248	10	7	training	training	NOUN
ajst-5248	10	8	data	datum	NOUN
ajst-5248	10	9	to	to	PART
ajst-5248	10	10	learn	learn	VERB
ajst-5248	10	11	the	the	DET
ajst-5248	10	12	features	feature	NOUN
ajst-5248	10	13	of	of	ADP
ajst-5248	10	14	the	the	DET
ajst-5248	10	15	target	target	NOUN
ajst-5248	10	16	object	object	NOUN
ajst-5248	10	17	and	and	CCONJ
ajst-5248	10	18	perform	perform	VERB
ajst-5248	10	19	semantic	semantic	ADJ
ajst-5248	10	20	segmentation	segmentation	NOUN
ajst-5248	10	21	through	through	ADP
ajst-5248	10	22	convolutional	convolutional	ADJ
ajst-5248	10	23	neural	neural	ADJ
ajst-5248	10	24	network	network	NOUN
ajst-5248	10	25	(	(	PUNCT
ajst-5248	10	26	cnn	cnn	PROPN
ajst-5248	10	27	)	)	PUNCT
ajst-5248	10	28	.	.	PUNCT
ajst-5248	11	1	a	a	DET
ajst-5248	11	2	series	series	NOUN
ajst-5248	11	3	of	of	ADP
ajst-5248	11	4	cnn	cnn	PROPN
ajst-5248	11	5	-	-	PUNCT
ajst-5248	11	6	based	base	VERB
ajst-5248	11	7	semantic	semantic	ADJ
ajst-5248	11	8	segmentation	segmentation	NOUN
ajst-5248	11	9	methods	method	NOUN
ajst-5248	11	10	have	have	AUX
ajst-5248	11	11	made	make	VERB
ajst-5248	11	12	various	various	ADJ
ajst-5248	11	13	breakthroughs	breakthrough	NOUN
ajst-5248	11	14	in	in	ADP
ajst-5248	11	15	segmentation	segmentation	NOUN
ajst-5248	11	16	accuracy	accuracy	NOUN
ajst-5248	11	17	and	and	CCONJ
ajst-5248	11	18	improved	improve	VERB
ajst-5248	11	19	the	the	DET
ajst-5248	11	20	segmentation	segmentation	NOUN
ajst-5248	11	21	performance	performance	NOUN
ajst-5248	11	22	.	.	PUNCT
ajst-5248	12	1	this	this	DET
ajst-5248	12	2	paper	paper	NOUN
ajst-5248	12	3	summarizes	summarize	VERB
ajst-5248	12	4	the	the	DET
ajst-5248	12	5	image	image	NOUN
ajst-5248	12	6	semantic	semantic	ADJ
ajst-5248	12	7	segmentation	segmentation	NOUN
ajst-5248	12	8	methods	method	NOUN
ajst-5248	12	9	based	base	VERB
ajst-5248	12	10	on	on	ADP
ajst-5248	12	11	deep	deep	ADJ
ajst-5248	12	12	learning	learning	NOUN
ajst-5248	12	13	.	.	PUNCT
ajst-5248	13	1	2	2	X
ajst-5248	13	2	.	.	X
ajst-5248	13	3	methods	method	NOUN
ajst-5248	13	4	2.1	2.1	NUM
ajst-5248	13	5	.	.	PUNCT
ajst-5248	14	1	general	general	ADJ
ajst-5248	14	2	semantic	semantic	ADJ
ajst-5248	14	3	segmentation	segmentation	NOUN
ajst-5248	14	4	fully	fully	ADV
ajst-5248	14	5	convolutional	convolutional	ADJ
ajst-5248	14	6	network	network	NOUN
ajst-5248	14	7	(	(	PUNCT
ajst-5248	14	8	fcn	fcn	PROPN
ajst-5248	14	9	)	)	PUNCT
ajst-5248	15	1	[	[	X
ajst-5248	15	2	1	1	X
ajst-5248	15	3	]	]	PUNCT
ajst-5248	15	4	is	be	AUX
ajst-5248	15	5	the	the	DET
ajst-5248	15	6	first	first	ADJ
ajst-5248	15	7	work	work	NOUN
ajst-5248	15	8	of	of	ADP
ajst-5248	15	9	using	use	VERB
ajst-5248	15	10	deep	deep	ADJ
ajst-5248	15	11	learning	learning	NOUN
ajst-5248	15	12	technology	technology	NOUN
ajst-5248	15	13	to	to	PART
ajst-5248	15	14	realize	realize	VERB
ajst-5248	15	15	the	the	DET
ajst-5248	15	16	end	end	NOUN
ajst-5248	15	17	-	-	PUNCT
ajst-5248	15	18	to	to	ADP
ajst-5248	15	19	-	-	PUNCT
ajst-5248	15	20	end	end	NOUN
ajst-5248	15	21	semantic	semantic	ADJ
ajst-5248	15	22	segmentation	segmentation	NOUN
ajst-5248	15	23	model	model	NOUN
ajst-5248	15	24	by	by	ADP
ajst-5248	15	25	removing	remove	VERB
ajst-5248	15	26	fully	fully	ADV
ajst-5248	15	27	connected	connected	ADJ
ajst-5248	15	28	layers	layer	NOUN
ajst-5248	15	29	.	.	PUNCT
ajst-5248	16	1	based	base	VERB
ajst-5248	16	2	on	on	ADP
ajst-5248	16	3	fcn	fcn	PROPN
ajst-5248	16	4	[	[	X
ajst-5248	16	5	1	1	NUM
ajst-5248	16	6	]	]	PUNCT
ajst-5248	16	7	,	,	PUNCT
ajst-5248	16	8	some	some	DET
ajst-5248	16	9	semantic	semantic	ADJ
ajst-5248	16	10	segmentation	segmentation	NOUN
ajst-5248	16	11	methods	method	NOUN
ajst-5248	16	12	employ	employ	VERB
ajst-5248	16	13	an	an	DET
ajst-5248	16	14	encoder	encoder	NOUN
ajst-5248	16	15	-	-	PUNCT
ajst-5248	16	16	decoder	decoder	NOUN
ajst-5248	16	17	architecture	architecture	NOUN
ajst-5248	16	18	network	network	NOUN
ajst-5248	16	19	to	to	PART
ajst-5248	16	20	encode	encode	VERB
ajst-5248	16	21	more	more	ADJ
ajst-5248	16	22	spatial	spatial	ADJ
ajst-5248	16	23	information	information	NOUN
ajst-5248	16	24	.	.	PUNCT
ajst-5248	17	1	most	most	ADJ
ajst-5248	17	2	of	of	ADP
ajst-5248	17	3	these	these	DET
ajst-5248	17	4	methods	method	NOUN
ajst-5248	17	5	are	be	AUX
ajst-5248	17	6	designed	design	VERB
ajst-5248	17	7	into	into	ADP
ajst-5248	17	8	a	a	DET
ajst-5248	17	9	u	u	NOUN
ajst-5248	17	10	-	-	NOUN
ajst-5248	17	11	shape	shape	NOUN
ajst-5248	17	12	network	network	NOUN
ajst-5248	17	13	structure	structure	NOUN
ajst-5248	17	14	.	.	PUNCT
ajst-5248	18	1	u	u	NOUN
ajst-5248	18	2	-	-	NOUN
ajst-5248	18	3	net	net	ADJ
ajst-5248	18	4	[	[	X
ajst-5248	18	5	2	2	NUM
ajst-5248	18	6	]	]	PUNCT
ajst-5248	18	7	introduces	introduce	VERB
ajst-5248	18	8	the	the	DET
ajst-5248	18	9	useful	useful	ADJ
ajst-5248	18	10	dense	dense	ADJ
ajst-5248	18	11	skip	skip	ADJ
ajst-5248	18	12	connections	connection	NOUN
ajst-5248	18	13	to	to	PART
ajst-5248	18	14	exploit	exploit	VERB
ajst-5248	18	15	the	the	DET
ajst-5248	18	16	spatial	spatial	ADJ
ajst-5248	18	17	details	detail	NOUN
ajst-5248	18	18	,	,	PUNCT
ajst-5248	18	19	resulting	result	VERB
ajst-5248	18	20	in	in	ADP
ajst-5248	18	21	different	different	ADJ
ajst-5248	18	22	variants	variant	NOUN
ajst-5248	18	23	of	of	ADP
ajst-5248	18	24	the	the	DET
ajst-5248	18	25	encoderdecoder	encoderdecoder	PROPN
ajst-5248	18	26	structures	structure	NOUN
ajst-5248	18	27	.	.	PUNCT
ajst-5248	19	1	global	global	ADJ
ajst-5248	19	2	convolution	convolution	NOUN
ajst-5248	19	3	network	network	NOUN
ajst-5248	19	4	[	[	X
ajst-5248	19	5	3	3	NUM
ajst-5248	19	6	]	]	PUNCT
ajst-5248	19	7	introduce	introduce	VERB
ajst-5248	19	8	global	global	ADJ
ajst-5248	19	9	convolution	convolution	NOUN
ajst-5248	19	10	operation	operation	NOUN
ajst-5248	19	11	to	to	PART
ajst-5248	19	12	extract	extract	VERB
ajst-5248	19	13	more	more	ADJ
ajst-5248	19	14	global	global	ADJ
ajst-5248	19	15	information	information	NOUN
ajst-5248	19	16	in	in	ADP
ajst-5248	19	17	the	the	DET
ajst-5248	19	18	case	case	NOUN
ajst-5248	19	19	of	of	ADP
ajst-5248	19	20	larger	large	ADJ
ajst-5248	19	21	receptive	receptive	ADJ
ajst-5248	19	22	field	field	NOUN
ajst-5248	19	23	,	,	PUNCT
ajst-5248	19	24	so	so	SCONJ
ajst-5248	19	25	as	as	SCONJ
ajst-5248	19	26	to	to	PART
ajst-5248	19	27	improve	improve	VERB
ajst-5248	19	28	the	the	DET
ajst-5248	19	29	segmentation	segmentation	NOUN
ajst-5248	19	30	accuracy	accuracy	NOUN
ajst-5248	19	31	.	.	PUNCT
ajst-5248	20	1	segnet	segnet	NOUN
ajst-5248	21	1	[	[	X
ajst-5248	21	2	4	4	X
ajst-5248	21	3	]	]	PUNCT
ajst-5248	21	4	with	with	ADP
ajst-5248	21	5	pooled	pool	VERB
ajst-5248	21	6	index	index	NOUN
ajst-5248	21	7	strategy	strategy	NOUN
ajst-5248	21	8	,	,	PUNCT
ajst-5248	21	9	refinenet	refinenet	PROPN
ajst-5248	21	10	[	[	X
ajst-5248	21	11	5	5	NUM
ajst-5248	21	12	]	]	PUNCT
ajst-5248	21	13	with	with	ADP
ajst-5248	21	14	multi	multi	ADJ
ajst-5248	21	15	-	-	ADJ
ajst-5248	21	16	path	path	ADJ
ajst-5248	21	17	refinement	refinement	NOUN
ajst-5248	21	18	,	,	PUNCT
ajst-5248	21	19	lrr	lrr	ADJ
ajst-5248	21	20	[	[	X
ajst-5248	21	21	6	6	NUM
ajst-5248	21	22	]	]	PUNCT
ajst-5248	21	23	with	with	ADP
ajst-5248	21	24	laplacian	laplacian	ADJ
ajst-5248	21	25	pyramid	pyramid	NOUN
ajst-5248	21	26	reconstruction	reconstruction	NOUN
ajst-5248	21	27	,	,	PUNCT
ajst-5248	21	28	dfn	dfn	NOUN
ajst-5248	22	1	[	[	X
ajst-5248	22	2	7	7	NUM
ajst-5248	22	3	]	]	PUNCT
ajst-5248	22	4	with	with	ADP
ajst-5248	22	5	channel	channel	NOUN
ajst-5248	22	6	attention	attention	NOUN
ajst-5248	22	7	block	block	NOUN
ajst-5248	22	8	and	and	CCONJ
ajst-5248	22	9	hrnet	hrnet	NOUN
ajst-5248	23	1	[	[	X
ajst-5248	23	2	8	8	NUM
ajst-5248	23	3	]	]	PUNCT
ajst-5248	23	4	with	with	SCONJ
ajst-5248	23	5	multibranches	multibranche	NOUN
ajst-5248	23	6	utilize	utilize	VERB
ajst-5248	23	7	the	the	DET
ajst-5248	23	8	encoder	encoder	NOUN
ajst-5248	23	9	-	-	PUNCT
ajst-5248	23	10	decoder	decoder	NOUN
ajst-5248	23	11	backbone	backbone	NOUN
ajst-5248	23	12	network	network	NOUN
ajst-5248	23	13	to	to	PART
ajst-5248	23	14	further	far	ADV
ajst-5248	23	15	recover	recover	VERB
ajst-5248	23	16	the	the	DET
ajst-5248	23	17	detailed	detailed	ADJ
ajst-5248	23	18	information	information	NOUN
ajst-5248	23	19	.	.	PUNCT
ajst-5248	24	1	to	to	PART
ajst-5248	24	2	enlarge	enlarge	VERB
ajst-5248	24	3	the	the	DET
ajst-5248	24	4	receptive	receptive	ADJ
ajst-5248	24	5	field	field	NOUN
ajst-5248	24	6	,	,	PUNCT
ajst-5248	24	7	pspnet	pspnet	NOUN
ajst-5248	25	1	[	[	X
ajst-5248	25	2	9	9	NUM
ajst-5248	25	3	]	]	PUNCT
ajst-5248	25	4	,	,	PUNCT
ajst-5248	25	5	deeplab	deeplab	PROPN
ajst-5248	25	6	v2	v2	PROPN
ajst-5248	26	1	[	[	X
ajst-5248	26	2	10	10	NUM
ajst-5248	26	3	]	]	PUNCT
ajst-5248	26	4	,	,	PUNCT
ajst-5248	26	5	and	and	CCONJ
ajst-5248	26	6	deeplab	deeplab	PROPN
ajst-5248	26	7	v3	v3	PROPN
ajst-5248	27	1	[	[	X
ajst-5248	27	2	11	11	NUM
ajst-5248	27	3	]	]	PUNCT
ajst-5248	27	4	adopt	adopt	VERB
ajst-5248	27	5	dilated	dilate	VERB
ajst-5248	27	6	convolution	convolution	NOUN
ajst-5248	27	7	to	to	PART
ajst-5248	27	8	maintain	maintain	VERB
ajst-5248	27	9	the	the	DET
ajst-5248	27	10	spatial	spatial	ADJ
ajst-5248	27	11	size	size	NOUN
ajst-5248	27	12	of	of	ADP
ajst-5248	27	13	the	the	DET
ajst-5248	27	14	feature	feature	NOUN
ajst-5248	27	15	map	map	NOUN
ajst-5248	27	16	.	.	PUNCT
ajst-5248	28	1	however	however	ADV
ajst-5248	28	2	,	,	PUNCT
ajst-5248	28	3	both	both	DET
ajst-5248	28	4	types	type	NOUN
ajst-5248	28	5	of	of	ADP
ajst-5248	28	6	dilation	dilation	NOUN
ajst-5248	28	7	backbone	backbone	NOUN
ajst-5248	28	8	and	and	CCONJ
ajst-5248	28	9	encoder	encoder	NOUN
ajst-5248	28	10	-	-	PUNCT
ajst-5248	28	11	decoder	decoder	NOUN
ajst-5248	28	12	structure	structure	NOUN
ajst-5248	28	13	care	care	VERB
ajst-5248	28	14	less	less	ADJ
ajst-5248	28	15	about	about	ADP
ajst-5248	28	16	the	the	DET
ajst-5248	28	17	inference	inference	NOUN
ajst-5248	28	18	speed	speed	NOUN
ajst-5248	28	19	and	and	CCONJ
ajst-5248	28	20	computational	computational	ADJ
ajst-5248	28	21	cost	cost	NOUN
ajst-5248	28	22	,	,	PUNCT
ajst-5248	28	23	which	which	PRON
ajst-5248	28	24	are	be	AUX
ajst-5248	28	25	mainly	mainly	ADV
ajst-5248	28	26	designed	design	VERB
ajst-5248	28	27	for	for	ADP
ajst-5248	28	28	general	general	ADJ
ajst-5248	28	29	semantic	semantic	ADJ
ajst-5248	28	30	segmentation	segmentation	NOUN
ajst-5248	28	31	tasks	task	NOUN
ajst-5248	28	32	.	.	PUNCT
ajst-5248	29	1	2.2	2.2	NUM
ajst-5248	29	2	.	.	PUNCT
ajst-5248	30	1	real	real	ADJ
ajst-5248	30	2	-	-	PUNCT
ajst-5248	30	3	time	time	NOUN
ajst-5248	30	4	semantic	semantic	ADJ
ajst-5248	30	5	segmentation	segmentation	NOUN
ajst-5248	30	6	most	most	ADV
ajst-5248	30	7	deep	deep	ADJ
ajst-5248	30	8	learning	learning	NOUN
ajst-5248	30	9	methods	method	NOUN
ajst-5248	30	10	have	have	VERB
ajst-5248	30	11	high	high	ADJ
ajst-5248	30	12	requirements	requirement	NOUN
ajst-5248	30	13	for	for	ADP
ajst-5248	30	14	computational	computational	ADJ
ajst-5248	30	15	resources	resource	NOUN
ajst-5248	30	16	and	and	CCONJ
ajst-5248	30	17	storage	storage	NOUN
ajst-5248	30	18	space	space	NOUN
ajst-5248	30	19	,	,	PUNCT
ajst-5248	30	20	so	so	CCONJ
ajst-5248	30	21	their	their	PRON
ajst-5248	30	22	applications	application	NOUN
ajst-5248	30	23	in	in	ADP
ajst-5248	30	24	mobile	mobile	ADJ
ajst-5248	30	25	terminals	terminal	NOUN
ajst-5248	30	26	,	,	PUNCT
ajst-5248	30	27	and	and	CCONJ
ajst-5248	30	28	embedded	embed	VERB
ajst-5248	30	29	systems	system	NOUN
ajst-5248	30	30	are	be	AUX
ajst-5248	30	31	limited	limited	ADJ
ajst-5248	30	32	.	.	PUNCT
ajst-5248	31	1	the	the	DET
ajst-5248	31	2	emergence	emergence	NOUN
ajst-5248	31	3	of	of	ADP
ajst-5248	31	4	real	real	ADJ
ajst-5248	31	5	-	-	PUNCT
ajst-5248	31	6	time	time	NOUN
ajst-5248	31	7	semantic	semantic	ADJ
ajst-5248	31	8	segmentation	segmentation	NOUN
ajst-5248	31	9	algorithm	algorithm	NOUN
ajst-5248	31	10	brings	bring	VERB
ajst-5248	31	11	higher	high	ADJ
ajst-5248	31	12	efficiency	efficiency	NOUN
ajst-5248	31	13	and	and	CCONJ
ajst-5248	31	14	scalability	scalability	NOUN
ajst-5248	31	15	to	to	ADP
ajst-5248	31	16	the	the	DET
ajst-5248	31	17	semantic	semantic	ADJ
ajst-5248	31	18	segmentation	segmentation	NOUN
ajst-5248	31	19	task	task	NOUN
ajst-5248	31	20	.	.	PUNCT
ajst-5248	32	1	segnet	segnet	PROPN
ajst-5248	33	1	[	[	X
ajst-5248	33	2	4	4	X
ajst-5248	33	3	]	]	PUNCT
ajst-5248	33	4	utilizes	utilize	VERB
ajst-5248	33	5	the	the	DET
ajst-5248	33	6	skipconnected	skipconnecte	VERB
ajst-5248	33	7	method	method	NOUN
ajst-5248	33	8	and	and	CCONJ
ajst-5248	33	9	transposed	transpose	VERB
ajst-5248	33	10	convolutions	convolution	NOUN
ajst-5248	33	11	for	for	ADP
ajst-5248	33	12	upsampling	upsample	VERB
ajst-5248	33	13	to	to	PART
ajst-5248	33	14	preserve	preserve	VERB
ajst-5248	33	15	fine	fine	ADV
ajst-5248	33	16	-	-	PUNCT
ajst-5248	33	17	grained	grain	VERB
ajst-5248	33	18	spatial	spatial	ADJ
ajst-5248	33	19	information	information	NOUN
ajst-5248	33	20	.	.	PUNCT
ajst-5248	34	1	it	it	PRON
ajst-5248	34	2	has	have	VERB
ajst-5248	34	3	fewer	few	ADJ
ajst-5248	34	4	parameters	parameter	NOUN
ajst-5248	34	5	,	,	PUNCT
ajst-5248	34	6	faster	fast	ADJ
ajst-5248	34	7	training	training	NOUN
ajst-5248	34	8	speed	speed	NOUN
ajst-5248	34	9	,	,	PUNCT
ajst-5248	34	10	and	and	CCONJ
ajst-5248	34	11	does	do	AUX
ajst-5248	34	12	not	not	PART
ajst-5248	34	13	need	need	VERB
ajst-5248	34	14	to	to	PART
ajst-5248	34	15	use	use	VERB
ajst-5248	34	16	a	a	DET
ajst-5248	34	17	large	large	ADJ
ajst-5248	34	18	amount	amount	NOUN
ajst-5248	34	19	of	of	ADP
ajst-5248	34	20	preprocessing	preprocesse	VERB
ajst-5248	34	21	data	datum	NOUN
ajst-5248	34	22	.	.	PUNCT
ajst-5248	35	1	icnet	icnet	PROPN
ajst-5248	36	1	[	[	X
ajst-5248	36	2	12	12	NUM
ajst-5248	36	3	]	]	PUNCT
ajst-5248	36	4	utilizes	utilize	VERB
ajst-5248	36	5	a	a	DET
ajst-5248	36	6	multi	multi	ADJ
ajst-5248	36	7	-	-	ADJ
ajst-5248	36	8	resolution	resolution	ADJ
ajst-5248	36	9	cascade	cascade	NOUN
ajst-5248	36	10	architecture	architecture	NOUN
ajst-5248	36	11	and	and	CCONJ
ajst-5248	36	12	fused	fuse	VERB
ajst-5248	36	13	features	feature	NOUN
ajst-5248	36	14	extracted	extract	VERB
ajst-5248	36	15	from	from	ADP
ajst-5248	36	16	image	image	NOUN
ajst-5248	36	17	pyramids	pyramid	NOUN
ajst-5248	36	18	to	to	PART
ajst-5248	36	19	achieve	achieve	VERB
ajst-5248	36	20	better	well	ADJ
ajst-5248	36	21	accuracy	accuracy	NOUN
ajst-5248	36	22	than	than	ADP
ajst-5248	36	23	previous	previous	ADJ
ajst-5248	36	24	.	.	PUNCT
ajst-5248	37	1	erfnet	erfnet	NOUN
ajst-5248	38	1	[	[	X
ajst-5248	38	2	13	13	NUM
ajst-5248	38	3	]	]	PUNCT
ajst-5248	38	4	uses	uses	AUX
ajst-5248	38	5	factorized	factorize	VERB
ajst-5248	38	6	convolutional	convolutional	ADJ
ajst-5248	38	7	layers	layer	NOUN
ajst-5248	38	8	to	to	PART
ajst-5248	38	9	reduce	reduce	VERB
ajst-5248	38	10	the	the	DET
ajst-5248	38	11	number	number	NOUN
ajst-5248	38	12	of	of	ADP
ajst-5248	38	13	parameters	parameter	NOUN
ajst-5248	38	14	while	while	SCONJ
ajst-5248	38	15	maintaining	maintain	VERB
ajst-5248	38	16	expressive	expressive	ADJ
ajst-5248	38	17	power	power	NOUN
ajst-5248	38	18	.	.	PUNCT
ajst-5248	39	1	it	it	PRON
ajst-5248	39	2	also	also	ADV
ajst-5248	39	3	incorporates	incorporate	VERB
ajst-5248	39	4	residual	residual	ADJ
ajst-5248	39	5	connections	connection	NOUN
ajst-5248	39	6	and	and	CCONJ
ajst-5248	39	7	dilated	dilated	ADJ
ajst-5248	39	8	convolutions	convolution	NOUN
ajst-5248	39	9	to	to	PART
ajst-5248	39	10	improve	improve	VERB
ajst-5248	39	11	information	information	NOUN
ajst-5248	39	12	flow	flow	NOUN
ajst-5248	39	13	.	.	PUNCT
ajst-5248	40	1	based	base	VERB
ajst-5248	40	2	on	on	ADP
ajst-5248	40	3	depth	depth	NOUN
ajst-5248	40	4	-	-	PUNCT
ajst-5248	40	5	wise	wise	ADJ
ajst-5248	40	6	separable	separable	ADJ
ajst-5248	40	7	convolutions	convolution	NOUN
ajst-5248	40	8	[	[	PUNCT
ajst-5248	40	9	13	13	NUM
ajst-5248	40	10	]	]	PUNCT
ajst-5248	40	11	and	and	CCONJ
ajst-5248	40	12	inverted	invert	VERB
ajst-5248	40	13	residual	residual	ADJ
ajst-5248	40	14	blocks	block	NOUN
ajst-5248	40	15	[	[	X
ajst-5248	40	16	14	14	NUM
ajst-5248	40	17	]	]	PUNCT
ajst-5248	40	18	,	,	PUNCT
ajst-5248	40	19	bisenetv1	bisenetv1	PROPN
ajst-5248	41	1	[	[	X
ajst-5248	41	2	15	15	NUM
ajst-5248	41	3	]	]	X
ajst-5248	41	4	uses	use	VERB
ajst-5248	41	5	a	a	DET
ajst-5248	41	6	spatial	spatial	ADJ
ajst-5248	41	7	path	path	NOUN
ajst-5248	41	8	with	with	ADP
ajst-5248	41	9	a	a	DET
ajst-5248	41	10	small	small	ADJ
ajst-5248	41	11	receptive	receptive	ADJ
ajst-5248	41	12	field	field	NOUN
ajst-5248	41	13	to	to	PART
ajst-5248	41	14	capture	capture	VERB
ajst-5248	41	15	local	local	ADJ
ajst-5248	41	16	information	information	NOUN
ajst-5248	41	17	,	,	PUNCT
ajst-5248	41	18	and	and	CCONJ
ajst-5248	41	19	a	a	DET
ajst-5248	41	20	context	context	NOUN
ajst-5248	41	21	path	path	NOUN
ajst-5248	41	22	with	with	ADP
ajst-5248	41	23	a	a	DET
ajst-5248	41	24	large	large	ADJ
ajst-5248	41	25	receptive	receptive	ADJ
ajst-5248	41	26	field	field	NOUN
ajst-5248	41	27	to	to	PART
ajst-5248	41	28	capture	capture	VERB
ajst-5248	41	29	global	global	ADJ
ajst-5248	41	30	information	information	NOUN
ajst-5248	41	31	.	.	PUNCT
ajst-5248	42	1	bisenetv2	bisenetv2	ADJ
ajst-5248	43	1	[	[	X
ajst-5248	43	2	16	16	NUM
ajst-5248	43	3	]	]	PUNCT
ajst-5248	43	4	further	far	ADV
ajst-5248	43	5	improves	improve	VERB
ajst-5248	43	6	upon	upon	SCONJ
ajst-5248	43	7	this	this	DET
ajst-5248	43	8	architecture	architecture	NOUN
ajst-5248	43	9	by	by	ADP
ajst-5248	43	10	incorporating	incorporate	VERB
ajst-5248	43	11	a	a	DET
ajst-5248	43	12	new	new	ADJ
ajst-5248	43	13	feature	feature	NOUN
ajst-5248	43	14	fusion	fusion	NOUN
ajst-5248	43	15	module	module	NOUN
ajst-5248	43	16	,	,	PUNCT
ajst-5248	43	17	which	which	PRON
ajst-5248	43	18	enhances	enhance	VERB
ajst-5248	43	19	the	the	DET
ajst-5248	43	20	fusion	fusion	NOUN
ajst-5248	43	21	of	of	ADP
ajst-5248	43	22	features	feature	NOUN
ajst-5248	43	23	from	from	ADP
ajst-5248	43	24	the	the	DET
ajst-5248	43	25	spatial	spatial	ADJ
ajst-5248	43	26	and	and	CCONJ
ajst-5248	43	27	context	context	NOUN
ajst-5248	43	28	paths	path	NOUN
ajst-5248	43	29	.	.	PUNCT
ajst-5248	44	1	3	3	X
ajst-5248	44	2	.	.	X
ajst-5248	44	3	datasets	dataset	NOUN
ajst-5248	44	4	in	in	ADP
ajst-5248	44	5	this	this	DET
ajst-5248	44	6	part	part	NOUN
ajst-5248	44	7	,	,	PUNCT
ajst-5248	44	8	cityscapes	cityscape	NOUN
ajst-5248	44	9	[	[	X
ajst-5248	44	10	17	17	NUM
ajst-5248	44	11	]	]	PUNCT
ajst-5248	44	12	,	,	PUNCT
ajst-5248	44	13	camvid	camvid	PROPN
ajst-5248	45	1	[	[	X
ajst-5248	45	2	18	18	NUM
ajst-5248	45	3	]	]	PUNCT
ajst-5248	45	4	and	and	CCONJ
ajst-5248	45	5	coco	coco	PROPN
ajst-5248	45	6	-	-	PUNCT
ajst-5248	45	7	stuff	stuff	NOUN
ajst-5248	46	1	[	[	X
ajst-5248	46	2	19	19	NUM
ajst-5248	46	3	]	]	X
ajst-5248	46	4	datasets	dataset	NOUN
ajst-5248	46	5	are	be	AUX
ajst-5248	46	6	introduced	introduce	VERB
ajst-5248	46	7	,	,	PUNCT
ajst-5248	46	8	which	which	PRON
ajst-5248	46	9	as	as	SCONJ
ajst-5248	46	10	shown	show	VERB
ajst-5248	46	11	in	in	ADP
ajst-5248	46	12	figure	figure	NOUN
ajst-5248	46	13	1	1	NUM
ajst-5248	46	14	.	.	PUNCT
ajst-5248	47	1	cityscapes	cityscape	NOUN
ajst-5248	47	2	:	:	PUNCT
ajst-5248	47	3	as	as	ADP
ajst-5248	47	4	a	a	DET
ajst-5248	47	5	famous	famous	ADJ
ajst-5248	47	6	dataset	dataset	NOUN
ajst-5248	47	7	focusing	focus	VERB
ajst-5248	47	8	on	on	ADP
ajst-5248	47	9	urban	urban	ADJ
ajst-5248	47	10	street	street	NOUN
ajst-5248	47	11	scene	scene	NOUN
ajst-5248	47	12	parsing	parsing	NOUN
ajst-5248	47	13	,	,	PUNCT
ajst-5248	47	14	cityscapes	cityscape	NOUN
ajst-5248	47	15	[	[	X
ajst-5248	47	16	17	17	NUM
ajst-5248	47	17	]	]	PUNCT
ajst-5248	47	18	is	be	AUX
ajst-5248	47	19	taken	take	VERB
ajst-5248	47	20	from	from	ADP
ajst-5248	47	21	a	a	DET
ajst-5248	47	22	car	car	NOUN
ajst-5248	47	23	perspective	perspective	NOUN
ajst-5248	47	24	.	.	PUNCT
ajst-5248	48	1	the	the	DET
ajst-5248	48	2	dataset	dataset	NOUN
ajst-5248	48	3	collected	collect	VERB
ajst-5248	48	4	from	from	ADP
ajst-5248	48	5	50	50	NUM
ajst-5248	48	6	different	different	ADJ
ajst-5248	48	7	cities	city	NOUN
ajst-5248	48	8	in	in	ADP
ajst-5248	48	9	germany	germany	PROPN
ajst-5248	48	10	contains	contain	VERB
ajst-5248	48	11	30	30	NUM
ajst-5248	48	12	categories	category	NOUN
ajst-5248	48	13	,	,	PUNCT
ajst-5248	48	14	including	include	VERB
ajst-5248	48	15	roads	road	NOUN
ajst-5248	48	16	,	,	PUNCT
ajst-5248	48	17	vehicles	vehicle	NOUN
ajst-5248	48	18	,	,	PUNCT
ajst-5248	48	19	buildings	building	NOUN
ajst-5248	48	20	,	,	PUNCT
ajst-5248	48	21	trees	tree	NOUN
ajst-5248	48	22	,	,	PUNCT
ajst-5248	48	23	etc	etc	X
ajst-5248	48	24	.	.	X
ajst-5248	49	1	the	the	DET
ajst-5248	49	2	cityscapes	cityscape	NOUN
ajst-5248	49	3	dataset	dataset	NOUN
ajst-5248	49	4	includes	include	VERB
ajst-5248	49	5	5000	5000	NUM
ajst-5248	49	6	finely	finely	ADV
ajst-5248	49	7	14	14	NUM
ajst-5248	49	8	annotated	annotate	VERB
ajst-5248	49	9	images	image	NOUN
ajst-5248	49	10	,	,	PUNCT
ajst-5248	49	11	of	of	ADP
ajst-5248	49	12	which	which	PRON
ajst-5248	49	13	2975	2975	NUM
ajst-5248	49	14	for	for	ADP
ajst-5248	49	15	training	training	NOUN
ajst-5248	49	16	,	,	PUNCT
ajst-5248	49	17	500	500	NUM
ajst-5248	49	18	for	for	ADP
ajst-5248	49	19	validation	validation	NOUN
ajst-5248	49	20	,	,	PUNCT
ajst-5248	49	21	and	and	CCONJ
ajst-5248	49	22	1525	1525	NUM
ajst-5248	49	23	for	for	ADP
ajst-5248	49	24	testing	testing	NOUN
ajst-5248	49	25	.	.	PUNCT
ajst-5248	50	1	we	we	PRON
ajst-5248	50	2	usually	usually	ADV
ajst-5248	50	3	use	use	VERB
ajst-5248	50	4	the	the	DET
ajst-5248	50	5	fine	fine	ADJ
ajst-5248	50	6	annotated	annotate	VERB
ajst-5248	50	7	images	image	NOUN
ajst-5248	50	8	whose	whose	DET
ajst-5248	50	9	resolution	resolution	NOUN
ajst-5248	50	10	is	be	AUX
ajst-5248	50	11	2048×1024	2048×1024	NUM
ajst-5248	50	12	for	for	ADP
ajst-5248	50	13	a	a	DET
ajst-5248	50	14	fair	fair	ADJ
ajst-5248	50	15	comparison	comparison	NOUN
ajst-5248	50	16	.	.	PUNCT
ajst-5248	51	1	camvid	camvid	NOUN
ajst-5248	51	2	:	:	PUNCT
ajst-5248	51	3	the	the	DET
ajst-5248	51	4	camvid	camvid	PROPN
ajst-5248	51	5	street	street	PROPN
ajst-5248	51	6	scene	scene	NOUN
ajst-5248	51	7	dataset	dataset	VERB
ajst-5248	51	8	[	[	X
ajst-5248	51	9	18	18	NUM
ajst-5248	51	10	]	]	PUNCT
ajst-5248	51	11	is	be	AUX
ajst-5248	51	12	a	a	DET
ajst-5248	51	13	videobased	videobase	VERB
ajst-5248	51	14	semantic	semantic	ADJ
ajst-5248	51	15	segmentation	segmentation	NOUN
ajst-5248	51	16	dataset	dataset	NOUN
ajst-5248	51	17	,	,	PUNCT
ajst-5248	51	18	which	which	PRON
ajst-5248	51	19	only	only	ADV
ajst-5248	51	20	has	have	VERB
ajst-5248	51	21	11	11	NUM
ajst-5248	51	22	semantic	semantic	ADJ
ajst-5248	51	23	categories	category	NOUN
ajst-5248	51	24	.	.	PUNCT
ajst-5248	52	1	from	from	ADP
ajst-5248	52	2	the	the	DET
ajst-5248	52	3	perspective	perspective	NOUN
ajst-5248	52	4	of	of	ADP
ajst-5248	52	5	a	a	DET
ajst-5248	52	6	driving	drive	VERB
ajst-5248	52	7	automobile	automobile	NOUN
ajst-5248	52	8	,	,	PUNCT
ajst-5248	52	9	it	it	PRON
ajst-5248	52	10	includes	include	VERB
ajst-5248	52	11	701	701	NUM
ajst-5248	52	12	images	image	NOUN
ajst-5248	52	13	and	and	CCONJ
ajst-5248	52	14	is	be	AUX
ajst-5248	52	15	separated	separate	VERB
ajst-5248	52	16	into	into	ADP
ajst-5248	52	17	training	training	NOUN
ajst-5248	52	18	,	,	PUNCT
ajst-5248	52	19	validation	validation	NOUN
ajst-5248	52	20	,	,	PUNCT
ajst-5248	52	21	and	and	CCONJ
ajst-5248	52	22	test	test	NOUN
ajst-5248	52	23	datasets	dataset	NOUN
ajst-5248	52	24	,	,	PUNCT
ajst-5248	52	25	with	with	ADP
ajst-5248	52	26	367	367	NUM
ajst-5248	52	27	,	,	PUNCT
ajst-5248	52	28	101	101	NUM
ajst-5248	52	29	,	,	PUNCT
ajst-5248	52	30	and	and	CCONJ
ajst-5248	52	31	233	233	NUM
ajst-5248	52	32	images	image	NOUN
ajst-5248	52	33	,	,	PUNCT
ajst-5248	52	34	respectively	respectively	ADV
ajst-5248	52	35	.	.	PUNCT
ajst-5248	53	1	the	the	DET
ajst-5248	53	2	resolution	resolution	NOUN
ajst-5248	53	3	of	of	ADP
ajst-5248	53	4	these	these	DET
ajst-5248	53	5	images	image	NOUN
ajst-5248	53	6	is	be	AUX
ajst-5248	53	7	720×960	720×960	NUM
ajst-5248	53	8	.	.	PUNCT
ajst-5248	54	1	coco	coco	PROPN
ajst-5248	54	2	-	-	PUNCT
ajst-5248	54	3	stuff	stuff	NOUN
ajst-5248	54	4	:	:	PUNCT
ajst-5248	54	5	the	the	DET
ajst-5248	54	6	coco	coco	PROPN
ajst-5248	54	7	-	-	PUNCT
ajst-5248	54	8	stuff	stuff	NOUN
ajst-5248	55	1	[	[	X
ajst-5248	55	2	19	19	NUM
ajst-5248	55	3	]	]	PUNCT
ajst-5248	55	4	provides	provide	VERB
ajst-5248	55	5	a	a	DET
ajst-5248	55	6	large	large	ADJ
ajst-5248	55	7	number	number	NOUN
ajst-5248	55	8	of	of	ADP
ajst-5248	55	9	labeled	label	VERB
ajst-5248	55	10	image	image	NOUN
ajst-5248	55	11	data	datum	NOUN
ajst-5248	55	12	for	for	ADP
ajst-5248	55	13	semantic	semantic	ADJ
ajst-5248	55	14	segmentation	segmentation	NOUN
ajst-5248	55	15	tasks	task	NOUN
ajst-5248	55	16	.	.	PUNCT
ajst-5248	56	1	by	by	ADP
ajst-5248	56	2	augmenting	augment	VERB
ajst-5248	56	3	the	the	DET
ajst-5248	56	4	coco	coco	PROPN
ajst-5248	56	5	2017	2017	NUM
ajst-5248	56	6	dataset	dataset	VERB
ajst-5248	56	7	with	with	ADP
ajst-5248	56	8	dense	dense	ADJ
ajst-5248	56	9	stuff	stuff	NOUN
ajst-5248	56	10	annotations	annotation	NOUN
ajst-5248	56	11	,	,	PUNCT
ajst-5248	56	12	the	the	DET
ajst-5248	56	13	dataset	dataset	NOUN
ajst-5248	56	14	includes	include	VERB
ajst-5248	56	15	91	91	NUM
ajst-5248	56	16	stuff	stuff	NOUN
ajst-5248	56	17	categories	category	NOUN
ajst-5248	56	18	for	for	ADP
ajst-5248	56	19	evaluation	evaluation	NOUN
ajst-5248	56	20	and	and	CCONJ
ajst-5248	56	21	1	1	NUM
ajst-5248	56	22	category	category	NOUN
ajst-5248	56	23	‘	'	PUNCT
ajst-5248	56	24	unlabeled	unlabele	VERB
ajst-5248	56	25	’	'	PUNCT
ajst-5248	56	26	.	.	PUNCT
ajst-5248	57	1	among	among	ADP
ajst-5248	57	2	all	all	DET
ajst-5248	57	3	164k	164k	NUM
ajst-5248	57	4	images	image	NOUN
ajst-5248	57	5	,	,	PUNCT
ajst-5248	57	6	118k	118k	NUM
ajst-5248	57	7	images	image	NOUN
ajst-5248	57	8	are	be	AUX
ajst-5248	57	9	used	use	VERB
ajst-5248	57	10	for	for	ADP
ajst-5248	57	11	training	training	NOUN
ajst-5248	57	12	,	,	PUNCT
ajst-5248	57	13	5k	5k	NUM
ajst-5248	57	14	images	image	NOUN
ajst-5248	57	15	are	be	AUX
ajst-5248	57	16	used	use	VERB
ajst-5248	57	17	for	for	ADP
ajst-5248	57	18	validation	validation	NOUN
ajst-5248	57	19	,	,	PUNCT
ajst-5248	57	20	20k	20k	NOUN
ajst-5248	57	21	images	image	NOUN
ajst-5248	57	22	are	be	AUX
ajst-5248	57	23	used	use	VERB
ajst-5248	57	24	for	for	ADP
ajst-5248	57	25	test	test	NOUN
ajst-5248	57	26	development	development	NOUN
ajst-5248	57	27	,	,	PUNCT
ajst-5248	57	28	and	and	CCONJ
ajst-5248	57	29	20k	20k	NOUN
ajst-5248	57	30	images	image	NOUN
ajst-5248	57	31	are	be	AUX
ajst-5248	57	32	used	use	VERB
ajst-5248	57	33	for	for	ADP
ajst-5248	57	34	test	test	NOUN
ajst-5248	57	35	-	-	PUNCT
ajst-5248	57	36	challenge	challenge	NOUN
ajst-5248	57	37	.	.	PUNCT
ajst-5248	58	1	figure	figure	NOUN
ajst-5248	58	2	1	1	NUM
ajst-5248	58	3	.	.	PUNCT
ajst-5248	58	4	small	small	ADJ
ajst-5248	58	5	part	part	NOUN
ajst-5248	58	6	of	of	ADP
ajst-5248	58	7	pictures	picture	NOUN
ajst-5248	58	8	in	in	ADP
ajst-5248	58	9	three	three	NUM
ajst-5248	58	10	datasets	dataset	NOUN
ajst-5248	58	11	4	4	NUM
ajst-5248	58	12	.	.	PUNCT
ajst-5248	58	13	conclusion	conclusion	NOUN
ajst-5248	58	14	although	although	SCONJ
ajst-5248	58	15	the	the	DET
ajst-5248	58	16	image	image	NOUN
ajst-5248	58	17	semantic	semantic	ADJ
ajst-5248	58	18	segmentation	segmentation	NOUN
ajst-5248	58	19	algorithm	algorithm	NOUN
ajst-5248	58	20	based	base	VERB
ajst-5248	58	21	on	on	ADP
ajst-5248	58	22	deep	deep	ADJ
ajst-5248	58	23	learning	learning	NOUN
ajst-5248	58	24	has	have	AUX
ajst-5248	58	25	made	make	VERB
ajst-5248	58	26	significant	significant	ADJ
ajst-5248	58	27	progress	progress	NOUN
ajst-5248	58	28	,	,	PUNCT
ajst-5248	58	29	there	there	PRON
ajst-5248	58	30	are	be	VERB
ajst-5248	58	31	still	still	ADV
ajst-5248	58	32	some	some	DET
ajst-5248	58	33	challenges	challenge	NOUN
ajst-5248	58	34	to	to	PART
ajst-5248	58	35	overcome	overcome	VERB
ajst-5248	58	36	.	.	PUNCT
ajst-5248	59	1	one	one	NUM
ajst-5248	59	2	of	of	ADP
ajst-5248	59	3	the	the	DET
ajst-5248	59	4	important	important	ADJ
ajst-5248	59	5	challenges	challenge	NOUN
ajst-5248	59	6	is	be	AUX
ajst-5248	59	7	how	how	SCONJ
ajst-5248	59	8	to	to	PART
ajst-5248	59	9	deal	deal	VERB
ajst-5248	59	10	with	with	ADP
ajst-5248	59	11	the	the	DET
ajst-5248	59	12	factors	factor	NOUN
ajst-5248	59	13	that	that	PRON
ajst-5248	59	14	affect	affect	VERB
ajst-5248	59	15	the	the	DET
ajst-5248	59	16	result	result	NOUN
ajst-5248	59	17	of	of	ADP
ajst-5248	59	18	image	image	NOUN
ajst-5248	59	19	semantic	semantic	ADJ
ajst-5248	59	20	segmentation	segmentation	NOUN
ajst-5248	59	21	,	,	PUNCT
ajst-5248	59	22	such	such	ADJ
ajst-5248	59	23	as	as	ADP
ajst-5248	59	24	occlusion	occlusion	NOUN
ajst-5248	59	25	,	,	PUNCT
ajst-5248	59	26	illumination	illumination	NOUN
ajst-5248	59	27	change	change	NOUN
ajst-5248	59	28	and	and	CCONJ
ajst-5248	59	29	image	image	NOUN
ajst-5248	59	30	resolution	resolution	NOUN
ajst-5248	59	31	.	.	PUNCT
ajst-5248	60	1	in	in	ADP
ajst-5248	60	2	the	the	DET
ajst-5248	60	3	future	future	NOUN
ajst-5248	60	4	,	,	PUNCT
ajst-5248	60	5	image	image	NOUN
ajst-5248	60	6	semantic	semantic	ADJ
ajst-5248	60	7	segmentation	segmentation	NOUN
ajst-5248	60	8	based	base	VERB
ajst-5248	60	9	on	on	ADP
ajst-5248	60	10	deep	deep	ADJ
ajst-5248	60	11	learning	learning	NOUN
ajst-5248	60	12	will	will	AUX
ajst-5248	60	13	continue	continue	VERB
ajst-5248	60	14	to	to	PART
ajst-5248	60	15	make	make	VERB
ajst-5248	60	16	progress	progress	NOUN
ajst-5248	60	17	in	in	ADP
ajst-5248	60	18	the	the	DET
ajst-5248	60	19	direction	direction	NOUN
ajst-5248	60	20	of	of	ADP
ajst-5248	60	21	real	real	ADJ
ajst-5248	60	22	time	time	NOUN
ajst-5248	60	23	and	and	CCONJ
ajst-5248	60	24	be	be	AUX
ajst-5248	60	25	widely	widely	ADV
ajst-5248	60	26	used	use	VERB
ajst-5248	60	27	in	in	ADP
ajst-5248	60	28	more	more	ADJ
ajst-5248	60	29	fields	field	NOUN
ajst-5248	60	30	.	.	PUNCT
ajst-5248	61	1	with	with	ADP
ajst-5248	61	2	the	the	DET
ajst-5248	61	3	continuous	continuous	ADJ
ajst-5248	61	4	improvement	improvement	NOUN
ajst-5248	61	5	of	of	ADP
ajst-5248	61	6	technology	technology	NOUN
ajst-5248	61	7	,	,	PUNCT
ajst-5248	61	8	it	it	PRON
ajst-5248	61	9	is	be	AUX
ajst-5248	61	10	expected	expect	VERB
ajst-5248	61	11	to	to	PART
ajst-5248	61	12	achieve	achieve	VERB
ajst-5248	61	13	more	more	ADV
ajst-5248	61	14	accurate	accurate	ADJ
ajst-5248	61	15	and	and	CCONJ
ajst-5248	61	16	efficient	efficient	ADJ
ajst-5248	61	17	image	image	NOUN
ajst-5248	61	18	semantic	semantic	ADJ
ajst-5248	61	19	segmentation	segmentation	NOUN
ajst-5248	61	20	.	.	PUNCT
ajst-5248	62	1	references	reference	NOUN
ajst-5248	62	2	[	[	X
ajst-5248	62	3	1	1	NUM
ajst-5248	62	4	]	]	X
ajst-5248	62	5	long	long	ADV
ajst-5248	62	6	,	,	PUNCT
ajst-5248	62	7	j.	j.	PROPN
ajst-5248	62	8	,	,	PUNCT
ajst-5248	62	9	shelhamer	shelhamer	PROPN
ajst-5248	62	10	,	,	PUNCT
ajst-5248	62	11	e.	e.	PROPN
ajst-5248	62	12	,	,	PUNCT
ajst-5248	62	13	darrell	darrell	PROPN
ajst-5248	62	14	,	,	PUNCT
ajst-5248	62	15	t.	t.	PROPN
ajst-5248	62	16	:	:	PUNCT
ajst-5248	62	17	‘	'	PUNCT
ajst-5248	62	18	fully	fully	ADV
ajst-5248	62	19	convolutional	convolutional	ADJ
ajst-5248	62	20	networks	network	NOUN
ajst-5248	62	21	for	for	ADP
ajst-5248	62	22	semantic	semantic	ADJ
ajst-5248	62	23	segmentation	segmentation	NOUN
ajst-5248	62	24	’	'	PUNCT
ajst-5248	62	25	,	,	PUNCT
ajst-5248	62	26	proceedings	proceeding	NOUN
ajst-5248	62	27	of	of	ADP
ajst-5248	62	28	the	the	DET
ajst-5248	62	29	ieee	ieee	NOUN
ajst-5248	62	30	conference	conference	NOUN
ajst-5248	62	31	on	on	ADP
ajst-5248	62	32	computer	computer	NOUN
ajst-5248	62	33	vision	vision	NOUN
ajst-5248	62	34	and	and	CCONJ
ajst-5248	62	35	pattern	pattern	NOUN
ajst-5248	62	36	recognition	recognition	NOUN
ajst-5248	62	37	,	,	PUNCT
ajst-5248	62	38	2015	2015	NUM
ajst-5248	62	39	,	,	PUNCT
ajst-5248	62	40	pp	pp	ADJ
ajst-5248	62	41	.	.	PUNCT
ajst-5248	63	1	3431–3440	3431–3440	NUM
ajst-5248	63	2	.	.	PUNCT
ajst-5248	64	1	[	[	X
ajst-5248	64	2	2	2	NUM
ajst-5248	64	3	]	]	PUNCT
ajst-5248	64	4	ronneberger	ronneberger	NOUN
ajst-5248	64	5	,	,	PUNCT
ajst-5248	64	6	o.	o.	PROPN
ajst-5248	64	7	,	,	PUNCT
ajst-5248	64	8	fischer	fischer	PROPN
ajst-5248	64	9	,	,	PUNCT
ajst-5248	64	10	p.	p.	PROPN
ajst-5248	64	11	,	,	PUNCT
ajst-5248	64	12	brox	brox	PROPN
ajst-5248	64	13	,	,	PUNCT
ajst-5248	64	14	t.	t.	PROPN
ajst-5248	64	15	:	:	PUNCT
ajst-5248	64	16	;	;	PUNCT
ajst-5248	64	17	springer	springer	NOUN
ajst-5248	64	18	.	.	PUNCT
ajst-5248	65	1	‘	'	PUNCT
ajst-5248	65	2	u	u	NOUN
ajst-5248	65	3	-	-	NOUN
ajst-5248	65	4	net	net	ADJ
ajst-5248	65	5	:	:	PUNCT
ajst-5248	65	6	convolutional	convolutional	ADJ
ajst-5248	65	7	networks	network	NOUN
ajst-5248	65	8	for	for	ADP
ajst-5248	65	9	biomedical	biomedical	ADJ
ajst-5248	65	10	image	image	NOUN
ajst-5248	65	11	segmentation	segmentation	NOUN
ajst-5248	65	12	’	'	PUNCT
ajst-5248	65	13	,	,	PUNCT
ajst-5248	65	14	international	international	ADJ
ajst-5248	65	15	conference	conference	NOUN
ajst-5248	65	16	on	on	ADP
ajst-5248	65	17	medical	medical	ADJ
ajst-5248	65	18	image	image	NOUN
ajst-5248	65	19	computing	computing	NOUN
ajst-5248	65	20	and	and	CCONJ
ajst-5248	65	21	computer	computer	NOUN
ajst-5248	65	22	-	-	PUNCT
ajst-5248	65	23	assisted	assist	VERB
ajst-5248	65	24	intervention	intervention	NOUN
ajst-5248	65	25	,	,	PUNCT
ajst-5248	65	26	2015	2015	NUM
ajst-5248	65	27	,	,	PUNCT
ajst-5248	65	28	pp	pp	ADV
ajst-5248	65	29	.	.	PUNCT
ajst-5248	66	1	234–241	234–241	NUM
ajst-5248	66	2	.	.	PUNCT
ajst-5248	67	1	[	[	X
ajst-5248	67	2	3	3	NUM
ajst-5248	67	3	]	]	X
ajst-5248	67	4	peng	peng	PROPN
ajst-5248	67	5	,	,	PUNCT
ajst-5248	67	6	c.	c.	PROPN
ajst-5248	67	7	,	,	PUNCT
ajst-5248	67	8	zhang	zhang	PROPN
ajst-5248	67	9	,	,	PUNCT
ajst-5248	67	10	x.	x.	PROPN
ajst-5248	67	11	,	,	PUNCT
ajst-5248	67	12	yu	yu	PROPN
ajst-5248	67	13	,	,	PUNCT
ajst-5248	67	14	g.	g.	PROPN
ajst-5248	67	15	,	,	PUNCT
ajst-5248	67	16	luo	luo	PROPN
ajst-5248	67	17	,	,	PUNCT
ajst-5248	67	18	g.	g.	PROPN
ajst-5248	67	19	,	,	PUNCT
ajst-5248	67	20	sun	sun	PROPN
ajst-5248	67	21	,	,	PUNCT
ajst-5248	67	22	j.	j.	PROPN
ajst-5248	67	23	:	:	PUNCT
ajst-5248	67	24	‘	'	PUNCT
ajst-5248	67	25	large	large	ADJ
ajst-5248	67	26	kernel	kernel	NOUN
ajst-5248	67	27	matters	matter	NOUN
ajst-5248	67	28	–	–	PUNCT
ajst-5248	67	29	improve	improve	VERB
ajst-5248	67	30	semantic	semantic	ADJ
ajst-5248	67	31	segmentation	segmentation	NOUN
ajst-5248	67	32	by	by	ADP
ajst-5248	67	33	global	global	ADJ
ajst-5248	67	34	convolutional	convolutional	ADJ
ajst-5248	67	35	network	network	NOUN
ajst-5248	67	36	’	'	PUNCT
ajst-5248	67	37	,	,	PUNCT
ajst-5248	67	38	proceedings	proceeding	NOUN
ajst-5248	67	39	of	of	ADP
ajst-5248	67	40	the	the	DET
ajst-5248	67	41	ieee	ieee	NOUN
ajst-5248	67	42	conference	conference	NOUN
ajst-5248	67	43	on	on	ADP
ajst-5248	67	44	computer	computer	NOUN
ajst-5248	67	45	vision	vision	NOUN
ajst-5248	67	46	and	and	CCONJ
ajst-5248	67	47	pattern	pattern	NOUN
ajst-5248	67	48	recognition	recognition	NOUN
ajst-5248	67	49	,	,	PUNCT
ajst-5248	67	50	2017	2017	NUM
ajst-5248	67	51	,	,	PUNCT
ajst-5248	67	52	pp	pp	ADJ
ajst-5248	67	53	.	.	PUNCT
ajst-5248	68	1	4353	4353	NUM
ajst-5248	68	2	–	–	PUNCT
ajst-5248	68	3	4361	4361	NUM
ajst-5248	68	4	.	.	PUNCT
ajst-5248	69	1	[	[	X
ajst-5248	69	2	4	4	NUM
ajst-5248	69	3	]	]	X
ajst-5248	69	4	badrinarayanan	badrinarayanan	NOUN
ajst-5248	69	5	,	,	PUNCT
ajst-5248	69	6	v.	v.	PROPN
ajst-5248	69	7	,	,	PUNCT
ajst-5248	69	8	kendall	kendall	PROPN
ajst-5248	69	9	,	,	PUNCT
ajst-5248	69	10	a.	a.	PROPN
ajst-5248	69	11	,	,	PUNCT
ajst-5248	69	12	cipolla	cipolla	PROPN
ajst-5248	69	13	,	,	PUNCT
ajst-5248	69	14	r.	r.	PROPN
ajst-5248	69	15	:	:	PUNCT
ajst-5248	69	16	‘	'	PUNCT
ajst-5248	69	17	segnet	segnet	NOUN
ajst-5248	69	18	:	:	PUNCT
ajst-5248	69	19	a	a	DET
ajst-5248	69	20	deep	deep	ADJ
ajst-5248	69	21	convolutional	convolutional	ADJ
ajst-5248	69	22	encoder	encoder	NOUN
ajst-5248	69	23	-	-	PUNCT
ajst-5248	69	24	decoder	decoder	NOUN
ajst-5248	69	25	architecture	architecture	NOUN
ajst-5248	69	26	for	for	ADP
ajst-5248	69	27	image	image	NOUN
ajst-5248	69	28	segmentation	segmentation	NOUN
ajst-5248	69	29	’	'	PUNCT
ajst-5248	69	30	,	,	PUNCT
ajst-5248	69	31	ieee	ieee	NOUN
ajst-5248	69	32	transactions	transaction	NOUN
ajst-5248	69	33	on	on	ADP
ajst-5248	69	34	pattern	pattern	NOUN
ajst-5248	69	35	analysis	analysis	NOUN
ajst-5248	69	36	and	and	CCONJ
ajst-5248	69	37	machine	machine	NOUN
ajst-5248	69	38	intelligence	intelligence	NOUN
ajst-5248	69	39	,	,	PUNCT
ajst-5248	69	40	2017	2017	NUM
ajst-5248	69	41	,	,	PUNCT
ajst-5248	69	42	39	39	NUM
ajst-5248	69	43	,	,	PUNCT
ajst-5248	69	44	pp	pp	ADJ
ajst-5248	69	45	.	.	PUNCT
ajst-5248	70	1	2481–2495	2481–2495	NUM
ajst-5248	70	2	.	.	PUNCT
ajst-5248	71	1	[	[	X
ajst-5248	71	2	5	5	NUM
ajst-5248	71	3	]	]	X
ajst-5248	71	4	lin	lin	PROPN
ajst-5248	71	5	,	,	PUNCT
ajst-5248	71	6	g.	g.	PROPN
ajst-5248	71	7	,	,	PUNCT
ajst-5248	71	8	milan	milan	PROPN
ajst-5248	71	9	,	,	PUNCT
ajst-5248	71	10	a.	a.	PROPN
ajst-5248	71	11	,	,	PUNCT
ajst-5248	71	12	shen	shen	PROPN
ajst-5248	71	13	,	,	PUNCT
ajst-5248	71	14	c.	c.	PROPN
ajst-5248	71	15	,	,	PUNCT
ajst-5248	71	16	reid	reid	PROPN
ajst-5248	71	17	,	,	PUNCT
ajst-5248	71	18	i.	i.	NOUN
ajst-5248	71	19	:	:	PUNCT
ajst-5248	71	20	‘	'	PUNCT
ajst-5248	71	21	refinenet	refinenet	NOUN
ajst-5248	71	22	:	:	PUNCT
ajst-5248	71	23	multi	multi	ADJ
ajst-5248	71	24	-	-	ADJ
ajst-5248	71	25	path	path	ADJ
ajst-5248	71	26	refinement	refinement	NOUN
ajst-5248	71	27	networks	network	NOUN
ajst-5248	71	28	for	for	ADP
ajst-5248	71	29	high	high	ADJ
ajst-5248	71	30	-	-	PUNCT
ajst-5248	71	31	resolution	resolution	NOUN
ajst-5248	71	32	semantic	semantic	ADJ
ajst-5248	71	33	segmentation	segmentation	NOUN
ajst-5248	71	34	’	'	PUNCT
ajst-5248	71	35	,	,	PUNCT
ajst-5248	71	36	proceedings	proceeding	NOUN
ajst-5248	71	37	of	of	ADP
ajst-5248	71	38	the	the	DET
ajst-5248	71	39	ieee	ieee	NOUN
ajst-5248	71	40	conference	conference	NOUN
ajst-5248	71	41	on	on	ADP
ajst-5248	71	42	computer	computer	NOUN
ajst-5248	71	43	vision	vision	NOUN
ajst-5248	71	44	and	and	CCONJ
ajst-5248	71	45	pattern	pattern	NOUN
ajst-5248	71	46	recognition	recognition	NOUN
ajst-5248	71	47	,	,	PUNCT
ajst-5248	71	48	2017	2017	NUM
ajst-5248	71	49	,	,	PUNCT
ajst-5248	71	50	pp	pp	ADJ
ajst-5248	71	51	.	.	PUNCT
ajst-5248	72	1	1925–1934	1925–1934	NUM
ajst-5248	72	2	.	.	PUNCT
ajst-5248	73	1	[	[	X
ajst-5248	73	2	6	6	NUM
ajst-5248	73	3	]	]	PUNCT
ajst-5248	73	4	ghiasi	ghiasi	NOUN
ajst-5248	73	5	,	,	PUNCT
ajst-5248	73	6	g.	g.	PROPN
ajst-5248	73	7	,	,	PUNCT
ajst-5248	73	8	fowlkes	fowlke	NOUN
ajst-5248	73	9	,	,	PUNCT
ajst-5248	73	10	c.c	c.c	PROPN
ajst-5248	73	11	.	.	PROPN
ajst-5248	73	12	:	:	PUNCT
ajst-5248	73	13	;	;	PUNCT
ajst-5248	73	14	springer	springer	NOUN
ajst-5248	73	15	.	.	PUNCT
ajst-5248	74	1	‘	'	PUNCT
ajst-5248	74	2	laplacian	laplacian	ADJ
ajst-5248	74	3	pyramid	pyramid	NOUN
ajst-5248	74	4	reconstruction	reconstruction	NOUN
ajst-5248	74	5	and	and	CCONJ
ajst-5248	74	6	refinement	refinement	NOUN
ajst-5248	74	7	for	for	ADP
ajst-5248	74	8	semantic	semantic	ADJ
ajst-5248	74	9	segmentation	segmentation	NOUN
ajst-5248	74	10	’	'	PUNCT
ajst-5248	74	11	,	,	PUNCT
ajst-5248	74	12	european	european	ADJ
ajst-5248	74	13	conference	conference	NOUN
ajst-5248	74	14	on	on	ADP
ajst-5248	74	15	computer	computer	NOUN
ajst-5248	74	16	vision,2016	vision,2016	PROPN
ajst-5248	74	17	,	,	PUNCT
ajst-5248	74	18	pp	pp	ADJ
ajst-5248	74	19	.	.	PUNCT
ajst-5248	75	1	519–534	519–534	NUM
ajst-5248	75	2	.	.	PUNCT
ajst-5248	76	1	[	[	X
ajst-5248	76	2	7	7	NUM
ajst-5248	76	3	]	]	SYM
ajst-5248	76	4	yu	yu	PROPN
ajst-5248	76	5	,	,	PUNCT
ajst-5248	76	6	c.	c.	PROPN
ajst-5248	76	7	,	,	PUNCT
ajst-5248	76	8	wang	wang	PROPN
ajst-5248	76	9	,	,	PUNCT
ajst-5248	76	10	j.	j.	PROPN
ajst-5248	76	11	,	,	PUNCT
ajst-5248	76	12	peng	peng	PROPN
ajst-5248	76	13	,	,	PUNCT
ajst-5248	76	14	c.	c.	PROPN
ajst-5248	76	15	,	,	PUNCT
ajst-5248	76	16	gao	gao	PROPN
ajst-5248	76	17	,	,	PUNCT
ajst-5248	76	18	c.	c.	PROPN
ajst-5248	76	19	,	,	PUNCT
ajst-5248	76	20	yu	yu	PROPN
ajst-5248	76	21	,	,	PUNCT
ajst-5248	76	22	g.	g.	PROPN
ajst-5248	76	23	,	,	PUNCT
ajst-5248	76	24	sang	sing	VERB
ajst-5248	76	25	,	,	PUNCT
ajst-5248	76	26	n.	n.	NOUN
ajst-5248	76	27	:	:	PUNCT
ajst-5248	76	28	‘	'	PUNCT
ajst-5248	76	29	learning	learn	VERB
ajst-5248	76	30	a	a	DET
ajst-5248	76	31	discriminative	discriminative	NOUN
ajst-5248	76	32	feature	feature	NOUN
ajst-5248	76	33	network	network	NOUN
ajst-5248	76	34	for	for	ADP
ajst-5248	76	35	semantic	semantic	ADJ
ajst-5248	76	36	segmentation	segmentation	NOUN
ajst-5248	76	37	’	'	PUNCT
ajst-5248	76	38	,	,	PUNCT
ajst-5248	76	39	proceedings	proceeding	NOUN
ajst-5248	76	40	of	of	ADP
ajst-5248	76	41	the	the	DET
ajst-5248	76	42	ieee	ieee	NOUN
ajst-5248	76	43	conference	conference	NOUN
ajst-5248	76	44	on	on	ADP
ajst-5248	76	45	computer	computer	NOUN
ajst-5248	76	46	vision	vision	NOUN
ajst-5248	76	47	and	and	CCONJ
ajst-5248	76	48	pattern	pattern	NOUN
ajst-5248	76	49	recognition	recognition	NOUN
ajst-5248	76	50	,	,	PUNCT
ajst-5248	76	51	2018	2018	NUM
ajst-5248	76	52	,	,	PUNCT
ajst-5248	76	53	pp	pp	ADP
ajst-5248	76	54	.	.	PUNCT
ajst-5248	77	1	1857–1866	1857–1866	NUM
ajst-5248	77	2	.	.	PUNCT
ajst-5248	78	1	[	[	X
ajst-5248	78	2	8	8	NUM
ajst-5248	78	3	]	]	X
ajst-5248	78	4	wang	wang	PROPN
ajst-5248	78	5	,	,	PUNCT
ajst-5248	78	6	j.	j.	PROPN
ajst-5248	78	7	,	,	PUNCT
ajst-5248	78	8	sun	sun	PROPN
ajst-5248	78	9	,	,	PUNCT
ajst-5248	78	10	k.	k.	PROPN
ajst-5248	78	11	,	,	PUNCT
ajst-5248	78	12	cheng	cheng	PROPN
ajst-5248	78	13	,	,	PUNCT
ajst-5248	78	14	t.	t.	PROPN
ajst-5248	78	15	,	,	PUNCT
ajst-5248	78	16	jiang	jiang	PROPN
ajst-5248	78	17	,	,	PUNCT
ajst-5248	78	18	b.	b.	PROPN
ajst-5248	78	19	,	,	PUNCT
ajst-5248	78	20	deng	deng	PROPN
ajst-5248	78	21	,	,	PUNCT
ajst-5248	78	22	c.	c.	PROPN
ajst-5248	78	23	,	,	PUNCT
ajst-5248	78	24	zhao	zhao	PROPN
ajst-5248	78	25	,	,	PUNCT
ajst-5248	78	26	y.	y.	PROPN
ajst-5248	78	27	,	,	PUNCT
ajst-5248	78	28	et	et	PROPN
ajst-5248	78	29	al	al	PROPN
ajst-5248	78	30	.	.	PROPN
ajst-5248	78	31	:	:	PUNCT
ajst-5248	79	1	‘	'	PUNCT
ajst-5248	79	2	deep	deep	ADJ
ajst-5248	79	3	highresolution	highresolution	NOUN
ajst-5248	79	4	representation	representation	NOUN
ajst-5248	79	5	learning	learn	VERB
ajst-5248	79	6	for	for	ADP
ajst-5248	79	7	visual	visual	ADJ
ajst-5248	79	8	recognition	recognition	NOUN
ajst-5248	79	9	’	'	PUNCT
ajst-5248	79	10	,	,	PUNCT
ajst-5248	79	11	ieee	ieee	NOUN
ajst-5248	79	12	transactions	transaction	NOUN
ajst-5248	79	13	on	on	ADP
ajst-5248	79	14	pattern	pattern	NOUN
ajst-5248	79	15	analysis	analysis	NOUN
ajst-5248	79	16	and	and	CCONJ
ajst-5248	79	17	machine	machine	NOUN
ajst-5248	79	18	intelligence	intelligence	NOUN
ajst-5248	79	19	,	,	PUNCT
ajst-5248	79	20	2020	2020	NUM
ajst-5248	79	21	,	,	PUNCT
ajst-5248	79	22	43	43	NUM
ajst-5248	79	23	,	,	PUNCT
ajst-5248	79	24	(	(	PUNCT
ajst-5248	79	25	10	10	NUM
ajst-5248	79	26	)	)	PUNCT
ajst-5248	79	27	,	,	PUNCT
ajst-5248	79	28	pp	pp	ADJ
ajst-5248	79	29	.	.	PUNCT
ajst-5248	80	1	3349–3364	3349–3364	NUM
ajst-5248	80	2	.	.	PUNCT
ajst-5248	81	1	[	[	X
ajst-5248	81	2	9	9	NUM
ajst-5248	81	3	]	]	SYM
ajst-5248	81	4	16	16	NUM
ajst-5248	81	5	zhao	zhao	PROPN
ajst-5248	81	6	,	,	PUNCT
ajst-5248	81	7	h.	h.	PROPN
ajst-5248	81	8	,	,	PUNCT
ajst-5248	81	9	shi	shi	PROPN
ajst-5248	81	10	,	,	PUNCT
ajst-5248	81	11	j.	j.	PROPN
ajst-5248	81	12	,	,	PUNCT
ajst-5248	81	13	qi	qi	PROPN
ajst-5248	81	14	,	,	PUNCT
ajst-5248	81	15	x.	x.	PROPN
ajst-5248	81	16	,	,	PUNCT
ajst-5248	81	17	wang	wang	PROPN
ajst-5248	81	18	,	,	PUNCT
ajst-5248	81	19	x.	x.	PROPN
ajst-5248	81	20	,	,	PUNCT
ajst-5248	81	21	jia	jia	PROPN
ajst-5248	81	22	,	,	PUNCT
ajst-5248	81	23	j.	j.	PROPN
ajst-5248	81	24	:	:	PUNCT
ajst-5248	81	25	‘	'	PUNCT
ajst-5248	81	26	pyramid	pyramid	NOUN
ajst-5248	81	27	scene	scene	NOUN
ajst-5248	81	28	parsing	parse	VERB
ajst-5248	81	29	network	network	NOUN
ajst-5248	81	30	’	'	PUNCT
ajst-5248	81	31	,	,	PUNCT
ajst-5248	81	32	proceedings	proceeding	NOUN
ajst-5248	81	33	of	of	ADP
ajst-5248	81	34	the	the	DET
ajst-5248	81	35	ieee	ieee	NOUN
ajst-5248	81	36	conference	conference	NOUN
ajst-5248	81	37	on	on	ADP
ajst-5248	81	38	computer	computer	NOUN
ajst-5248	81	39	vision	vision	NOUN
ajst-5248	81	40	and	and	CCONJ
ajst-5248	81	41	pattern	pattern	NOUN
ajst-5248	81	42	recognition	recognition	NOUN
ajst-5248	81	43	,	,	PUNCT
ajst-5248	81	44	2017,pp	2017,pp	NUM
ajst-5248	81	45	.	.	PUNCT
ajst-5248	82	1	2881–2890	2881–2890	NUM
ajst-5248	82	2	.	.	PUNCT
ajst-5248	83	1	[	[	X
ajst-5248	83	2	10	10	NUM
ajst-5248	83	3	]	]	X
ajst-5248	83	4	chen	chen	PROPN
ajst-5248	83	5	,	,	PUNCT
ajst-5248	83	6	l.c	l.c	PROPN
ajst-5248	83	7	.	.	PROPN
ajst-5248	83	8	,	,	PUNCT
ajst-5248	83	9	papandreou	papandreou	PROPN
ajst-5248	83	10	,	,	PUNCT
ajst-5248	83	11	g.	g.	PROPN
ajst-5248	83	12	,	,	PUNCT
ajst-5248	83	13	kokkinos	kokkinos	PROPN
ajst-5248	83	14	,	,	PUNCT
ajst-5248	83	15	i.	i.	PROPN
ajst-5248	83	16	,	,	PUNCT
ajst-5248	83	17	murphy	murphy	PROPN
ajst-5248	83	18	,	,	PUNCT
ajst-5248	83	19	k.	k.	PROPN
ajst-5248	83	20	,	,	PUNCT
ajst-5248	83	21	yuille	yuille	PROPN
ajst-5248	83	22	,	,	PUNCT
ajst-5248	83	23	a.l	a.l	PROPN
ajst-5248	83	24	.	.	PROPN
ajst-5248	83	25	:	:	PUNCT
ajst-5248	83	26	‘	'	PUNCT
ajst-5248	83	27	deeplab	deeplab	NOUN
ajst-5248	83	28	:	:	PUNCT
ajst-5248	83	29	semantic	semantic	ADJ
ajst-5248	83	30	image	image	NOUN
ajst-5248	83	31	segmentation	segmentation	NOUN
ajst-5248	83	32	with	with	ADP
ajst-5248	83	33	deep	deep	ADJ
ajst-5248	83	34	convolutional	convolutional	ADJ
ajst-5248	83	35	nets	net	NOUN
ajst-5248	83	36	,	,	PUNCT
ajst-5248	83	37	atrous	atrous	ADJ
ajst-5248	83	38	convolution	convolution	NOUN
ajst-5248	83	39	,	,	PUNCT
ajst-5248	83	40	and	and	CCONJ
ajst-5248	83	41	fully	fully	ADV
ajst-5248	83	42	connected	connect	VERB
ajst-5248	83	43	crfs	crf	NOUN
ajst-5248	83	44	’	'	PUNCT
ajst-5248	83	45	,	,	PUNCT
ajst-5248	83	46	ieee	ieee	NOUN
ajst-5248	83	47	transactions	transaction	NOUN
ajst-5248	83	48	on	on	ADP
ajst-5248	83	49	pattern	pattern	NOUN
ajst-5248	83	50	analysis	analysis	NOUN
ajst-5248	83	51	and	and	CCONJ
ajst-5248	83	52	machine	machine	NOUN
ajst-5248	83	53	intelligence	intelligence	NOUN
ajst-5248	83	54	,	,	PUNCT
ajst-5248	83	55	2017	2017	NUM
ajst-5248	83	56	,	,	PUNCT
ajst-5248	83	57	40	40	NUM
ajst-5248	83	58	,	,	PUNCT
ajst-5248	83	59	(	(	PUNCT
ajst-5248	83	60	4	4	NUM
ajst-5248	83	61	)	)	PUNCT
ajst-5248	83	62	,	,	PUNCT
ajst-5248	83	63	pp	pp	ADP
ajst-5248	83	64	.	.	PUNCT
ajst-5248	84	1	834–848	834–848	NUM
ajst-5248	84	2	.	.	PUNCT
ajst-5248	85	1	[	[	X
ajst-5248	85	2	11	11	NUM
ajst-5248	85	3	]	]	X
ajst-5248	85	4	florian	florian	PROPN
ajst-5248	85	5	,	,	PUNCT
ajst-5248	85	6	l.c	l.c	PROPN
ajst-5248	85	7	.	.	PROPN
ajst-5248	85	8	,	,	PUNCT
ajst-5248	85	9	adam	adam	PROPN
ajst-5248	85	10	,	,	PUNCT
ajst-5248	85	11	s.h	s.h	PROPN
ajst-5248	85	12	.	.	PROPN
ajst-5248	85	13	:	:	PUNCT
ajst-5248	85	14	‘	'	PUNCT
ajst-5248	85	15	rethinking	rethink	VERB
ajst-5248	85	16	atrous	atrous	ADJ
ajst-5248	85	17	convolution	convolution	NOUN
ajst-5248	85	18	for	for	ADP
ajst-5248	85	19	semantic	semantic	ADJ
ajst-5248	85	20	image	image	NOUN
ajst-5248	85	21	segmentation	segmentation	NOUN
ajst-5248	85	22	’	'	PUNCT
ajst-5248	85	23	,	,	PUNCT
ajst-5248	85	24	conference	conference	NOUN
ajst-5248	85	25	on	on	ADP
ajst-5248	85	26	computer	computer	NOUN
ajst-5248	85	27	vision	vision	NOUN
ajst-5248	85	28	and	and	CCONJ
ajst-5248	85	29	pattern	pattern	NOUN
ajst-5248	85	30	recognition	recognition	NOUN
ajst-5248	85	31	(	(	PUNCT
ajst-5248	85	32	cvpr	cvpr	NOUN
ajst-5248	85	33	)	)	PUNCT
ajst-5248	85	34	ieee	ieee	NOUN
ajst-5248	85	35	/	/	SYM
ajst-5248	85	36	cvf	cvf	NOUN
ajst-5248	85	37	,	,	PUNCT
ajst-5248	85	38	2017	2017	NUM
ajst-5248	85	39	.	.	PUNCT
ajst-5248	86	1	[	[	X
ajst-5248	86	2	12	12	NUM
ajst-5248	86	3	]	]	X
ajst-5248	86	4	zhao	zhao	PROPN
ajst-5248	86	5	,	,	PUNCT
ajst-5248	86	6	h.	h.	PROPN
ajst-5248	86	7	,	,	PUNCT
ajst-5248	86	8	qi	qi	PROPN
ajst-5248	86	9	,	,	PUNCT
ajst-5248	86	10	x.	x.	PROPN
ajst-5248	86	11	,	,	PUNCT
ajst-5248	86	12	shen	shen	PROPN
ajst-5248	86	13	,	,	PUNCT
ajst-5248	86	14	x.	x.	PROPN
ajst-5248	86	15	,	,	PUNCT
ajst-5248	86	16	shi	shi	PROPN
ajst-5248	86	17	,	,	PUNCT
ajst-5248	86	18	j.	j.	PROPN
ajst-5248	86	19	,	,	PUNCT
ajst-5248	86	20	jia	jia	PROPN
ajst-5248	86	21	,	,	PUNCT
ajst-5248	86	22	j.	j.	PROPN
ajst-5248	86	23	:	:	PUNCT
ajst-5248	86	24	‘	'	PUNCT
ajst-5248	86	25	icnet	icnet	NOUN
ajst-5248	86	26	for	for	ADP
ajst-5248	86	27	real	real	ADJ
ajst-5248	86	28	-	-	PUNCT
ajst-5248	86	29	time	time	NOUN
ajst-5248	86	30	semantic	semantic	ADJ
ajst-5248	86	31	segmentation	segmentation	NOUN
ajst-5248	86	32	on	on	ADP
ajst-5248	86	33	high	high	ADJ
ajst-5248	86	34	-	-	PUNCT
ajst-5248	86	35	resolution	resolution	NOUN
ajst-5248	86	36	images	image	NOUN
ajst-5248	86	37	’	'	PUNCT
ajst-5248	86	38	,	,	PUNCT
ajst-5248	86	39	proceedings	proceeding	NOUN
ajst-5248	86	40	of	of	ADP
ajst-5248	86	41	the	the	DET
ajst-5248	86	42	european	european	PROPN
ajst-5248	86	43	conference	conference	PROPN
ajst-5248	86	44	on	on	ADP
ajst-5248	86	45	computer	computer	NOUN
ajst-5248	86	46	vision	vision	NOUN
ajst-5248	86	47	(	(	PUNCT
ajst-5248	86	48	eccv	eccv	ADV
ajst-5248	86	49	)	)	PUNCT
ajst-5248	86	50	,	,	PUNCT
ajst-5248	86	51	2018	2018	NUM
ajst-5248	86	52	,	,	PUNCT
ajst-5248	86	53	pp	pp	ADJ
ajst-5248	86	54	.	.	PUNCT
ajst-5248	87	1	405–420	405–420	NUM
ajst-5248	87	2	.	.	PUNCT
ajst-5248	88	1	[	[	X
ajst-5248	88	2	13	13	NUM
ajst-5248	88	3	]	]	PUNCT
ajst-5248	88	4	romera	romera	NOUN
ajst-5248	88	5	,	,	PUNCT
ajst-5248	88	6	e.	e.	PROPN
ajst-5248	88	7	,	,	PUNCT
ajst-5248	88	8	alvarez	alvarez	PROPN
ajst-5248	88	9	,	,	PUNCT
ajst-5248	88	10	j.m	j.m	PROPN
ajst-5248	88	11	.	.	PROPN
ajst-5248	88	12	,	,	PUNCT
ajst-5248	88	13	bergasa	bergasa	PROPN
ajst-5248	88	14	,	,	PUNCT
ajst-5248	88	15	l.m	l.m	PROPN
ajst-5248	88	16	.	.	PROPN
ajst-5248	88	17	,	,	PUNCT
ajst-5248	88	18	arroyo	arroyo	PROPN
ajst-5248	88	19	,	,	PUNCT
ajst-5248	88	20	r.	r.	PROPN
ajst-5248	88	21	:	:	PUNCT
ajst-5248	88	22	‘	'	PUNCT
ajst-5248	88	23	erfnet	erfnet	NOUN
ajst-5248	88	24	:	:	PUNCT
ajst-5248	88	25	efficient	efficient	ADJ
ajst-5248	88	26	residual	residual	ADJ
ajst-5248	88	27	factorized	factorize	VERB
ajst-5248	88	28	convnet	convnet	NOUN
ajst-5248	88	29	for	for	ADP
ajst-5248	88	30	real	real	ADJ
ajst-5248	88	31	-	-	PUNCT
ajst-5248	88	32	time	time	NOUN
ajst-5248	88	33	semantic	semantic	ADJ
ajst-5248	88	34	segmentation	segmentation	NOUN
ajst-5248	88	35	’	'	PUNCT
ajst-5248	88	36	,	,	PUNCT
ajst-5248	88	37	ieee	ieee	NOUN
ajst-5248	88	38	transactions	transaction	NOUN
ajst-5248	88	39	on	on	ADP
ajst-5248	88	40	intelligent	intelligent	ADJ
ajst-5248	88	41	transportation	transportation	NOUN
ajst-5248	88	42	systems	system	NOUN
ajst-5248	88	43	,	,	PUNCT
ajst-5248	88	44	2017	2017	NUM
ajst-5248	88	45	,	,	PUNCT
ajst-5248	88	46	19	19	NUM
ajst-5248	88	47	,	,	PUNCT
ajst-5248	88	48	(	(	PUNCT
ajst-5248	88	49	1	1	NUM
ajst-5248	88	50	)	)	PUNCT
ajst-5248	88	51	,	,	PUNCT
ajst-5248	88	52	pp	pp	ADP
ajst-5248	88	53	.	.	PUNCT
ajst-5248	89	1	263–272	263–272	NUM
ajst-5248	89	2	.	.	PUNCT
ajst-5248	90	1	[	[	X
ajst-5248	90	2	14	14	NUM
ajst-5248	90	3	]	]	X
ajst-5248	90	4	sandler	sandler	NOUN
ajst-5248	90	5	,	,	PUNCT
ajst-5248	90	6	m.	m.	NOUN
ajst-5248	90	7	,	,	PUNCT
ajst-5248	90	8	howard	howard	PROPN
ajst-5248	90	9	,	,	PUNCT
ajst-5248	90	10	a.	a.	PROPN
ajst-5248	90	11	,	,	PUNCT
ajst-5248	90	12	zhu	zhu	PROPN
ajst-5248	90	13	,	,	PUNCT
ajst-5248	90	14	m.	m.	NOUN
ajst-5248	90	15	,	,	PUNCT
ajst-5248	90	16	zhmoginov	zhmoginov	PROPN
ajst-5248	90	17	,	,	PUNCT
ajst-5248	90	18	a.	a.	PROPN
ajst-5248	90	19	,	,	PUNCT
ajst-5248	90	20	chen	chen	PROPN
ajst-5248	90	21	,	,	PUNCT
ajst-5248	90	22	l.c	l.c	PROPN
ajst-5248	90	23	.	.	PROPN
ajst-5248	90	24	:	:	PUNCT
ajst-5248	90	25	‘	'	PUNCT
ajst-5248	90	26	mobilenetv2	mobilenetv2	NOUN
ajst-5248	90	27	:	:	PUNCT
ajst-5248	90	28	inverted	inverted	ADJ
ajst-5248	90	29	residuals	residual	NOUN
ajst-5248	90	30	and	and	CCONJ
ajst-5248	90	31	linear	linear	ADJ
ajst-5248	90	32	bottlenecks	bottleneck	NOUN
ajst-5248	90	33	’	'	PUNCT
ajst-5248	90	34	,	,	PUNCT
ajst-5248	90	35	proceedings	proceeding	NOUN
ajst-5248	90	36	of	of	ADP
ajst-5248	90	37	the	the	DET
ajst-5248	90	38	ieee	ieee	NOUN
ajst-5248	90	39	conference	conference	NOUN
ajst-5248	90	40	on	on	ADP
ajst-5248	90	41	computer	computer	NOUN
ajst-5248	90	42	vision	vision	NOUN
ajst-5248	90	43	and	and	CCONJ
ajst-5248	90	44	pattern	pattern	NOUN
ajst-5248	90	45	recognition	recognition	NOUN
ajst-5248	90	46	,	,	PUNCT
ajst-5248	90	47	2018	2018	NUM
ajst-5248	90	48	,	,	PUNCT
ajst-5248	90	49	pp	pp	ADJ
ajst-5248	90	50	.	.	PUNCT
ajst-5248	91	1	4510–4520	4510–4520	NUM
ajst-5248	91	2	.	.	PUNCT
ajst-5248	92	1	[	[	X
ajst-5248	92	2	15	15	NUM
ajst-5248	92	3	]	]	X
ajst-5248	92	4	yu	yu	PROPN
ajst-5248	92	5	,	,	PUNCT
ajst-5248	92	6	c.	c.	PROPN
ajst-5248	92	7	,	,	PUNCT
ajst-5248	92	8	wang	wang	PROPN
ajst-5248	92	9	,	,	PUNCT
ajst-5248	92	10	j.	j.	PROPN
ajst-5248	92	11	,	,	PUNCT
ajst-5248	92	12	peng	peng	PROPN
ajst-5248	92	13	,	,	PUNCT
ajst-5248	92	14	c.	c.	PROPN
ajst-5248	92	15	,	,	PUNCT
ajst-5248	92	16	gao	gao	PROPN
ajst-5248	92	17	,	,	PUNCT
ajst-5248	92	18	c.	c.	PROPN
ajst-5248	92	19	,	,	PUNCT
ajst-5248	92	20	yu	yu	PROPN
ajst-5248	92	21	,	,	PUNCT
ajst-5248	92	22	g.	g.	PROPN
ajst-5248	92	23	,	,	PUNCT
ajst-5248	92	24	sang	sing	VERB
ajst-5248	92	25	,	,	PUNCT
ajst-5248	92	26	n.	n.	NOUN
ajst-5248	92	27	:	:	PUNCT
ajst-5248	92	28	‘	'	PUNCT
ajst-5248	92	29	bisenet	bisenet	NOUN
ajst-5248	92	30	:	:	PUNCT
ajst-5248	92	31	bilateral	bilateral	ADJ
ajst-5248	92	32	segmentation	segmentation	NOUN
ajst-5248	92	33	network	network	NOUN
ajst-5248	92	34	for	for	ADP
ajst-5248	92	35	real	real	ADJ
ajst-5248	92	36	-	-	PUNCT
ajst-5248	92	37	time	time	NOUN
ajst-5248	92	38	semantic	semantic	ADJ
ajst-5248	92	39	segmentation	segmentation	NOUN
ajst-5248	92	40	’	'	PUNCT
ajst-5248	92	41	,	,	PUNCT
ajst-5248	92	42	proceedings	proceeding	NOUN
ajst-5248	92	43	of	of	ADP
ajst-5248	92	44	the	the	DET
ajst-5248	92	45	european	european	ADJ
ajst-5248	92	46	c.onference	c.onference	NOUN
ajst-5248	92	47	on	on	ADP
ajst-5248	92	48	computer	computer	NOUN
ajst-5248	92	49	vision	vision	NOUN
ajst-5248	92	50	(	(	PUNCT
ajst-5248	92	51	eccv	eccv	ADV
ajst-5248	92	52	)	)	PUNCT
ajst-5248	92	53	,	,	PUNCT
ajst-5248	92	54	2018	2018	NUM
ajst-5248	92	55	,	,	PUNCT
ajst-5248	92	56	pp	pp	ADV
ajst-5248	92	57	.	.	PUNCT
ajst-5248	93	1	325–341	325–341	NUM
ajst-5248	93	2	[	[	X
ajst-5248	93	3	16	16	NUM
ajst-5248	93	4	]	]	X
ajst-5248	93	5	yu	yu	PROPN
ajst-5248	93	6	,	,	PUNCT
ajst-5248	93	7	c.	c.	PROPN
ajst-5248	93	8	,	,	PUNCT
ajst-5248	93	9	gao	gao	PROPN
ajst-5248	93	10	,	,	PUNCT
ajst-5248	93	11	c.	c.	PROPN
ajst-5248	93	12	,	,	PUNCT
ajst-5248	93	13	wang	wang	PROPN
ajst-5248	93	14	,	,	PUNCT
ajst-5248	93	15	j.	j.	PROPN
ajst-5248	93	16	,	,	PUNCT
ajst-5248	93	17	yu	yu	PROPN
ajst-5248	93	18	,	,	PUNCT
ajst-5248	93	19	g.	g.	PROPN
ajst-5248	93	20	,	,	PUNCT
ajst-5248	93	21	shen	shen	PROPN
ajst-5248	93	22	,	,	PUNCT
ajst-5248	93	23	c.	c.	PROPN
ajst-5248	93	24	,	,	PUNCT
ajst-5248	93	25	sang	sing	VERB
ajst-5248	93	26	,	,	PUNCT
ajst-5248	93	27	n.	n.	NOUN
ajst-5248	93	28	:	:	PUNCT
ajst-5248	93	29	‘	'	PUNCT
ajst-5248	93	30	bisenet	bisenet	NOUN
ajst-5248	93	31	v2	v2	NOUN
ajst-5248	93	32	:	:	PUNCT
ajst-5248	93	33	bilateral	bilateral	ADJ
ajst-5248	93	34	network	network	NOUN
ajst-5248	93	35	with	with	ADP
ajst-5248	93	36	guided	guide	VERB
ajst-5248	93	37	aggregation	aggregation	NOUN
ajst-5248	93	38	for	for	ADP
ajst-5248	93	39	real	real	ADJ
ajst-5248	93	40	-	-	PUNCT
ajst-5248	93	41	time	time	NOUN
ajst-5248	93	42	semantic	semantic	ADJ
ajst-5248	93	43	segmentation	segmentation	NOUN
ajst-5248	93	44	’	'	PUNCT
ajst-5248	93	45	,	,	PUNCT
ajst-5248	93	46	international	international	ADJ
ajst-5248	93	47	journal	journal	NOUN
ajst-5248	93	48	of	of	ADP
ajst-5248	93	49	computer	computer	NOUN
ajst-5248	93	50	vision	vision	NOUN
ajst-5248	93	51	,	,	PUNCT
ajst-5248	93	52	2021	2021	NUM
ajst-5248	93	53	,	,	PUNCT
ajst-5248	93	54	129	129	NUM
ajst-5248	93	55	,	,	PUNCT
ajst-5248	93	56	(	(	PUNCT
ajst-5248	93	57	11	11	NUM
ajst-5248	93	58	)	)	PUNCT
ajst-5248	93	59	,	,	PUNCT
ajst-5248	94	1	pp	pp	ADP
ajst-5248	94	2	.	.	PUNCT
ajst-5248	95	1	3051–3068	3051–3068	NUM
ajst-5248	95	2	.	.	PUNCT
ajst-5248	96	1	[	[	X
ajst-5248	96	2	17	17	NUM
ajst-5248	96	3	]	]	X
ajst-5248	96	4	cordts	cordts	ADJ
ajst-5248	96	5	,	,	PUNCT
ajst-5248	96	6	m.	m.	NOUN
ajst-5248	96	7	,	,	PUNCT
ajst-5248	96	8	omran	omran	NOUN
ajst-5248	96	9	,	,	PUNCT
ajst-5248	96	10	m.	m.	NOUN
ajst-5248	96	11	,	,	PUNCT
ajst-5248	96	12	ramos	ramos	PROPN
ajst-5248	96	13	,	,	PUNCT
ajst-5248	96	14	s.	s.	PROPN
ajst-5248	96	15	,	,	PUNCT
ajst-5248	96	16	rehfeld	rehfeld	PROPN
ajst-5248	96	17	,	,	PUNCT
ajst-5248	96	18	t.	t.	PROPN
ajst-5248	96	19	,	,	PUNCT
ajst-5248	96	20	enzweiler	enzweiler	NOUN
ajst-5248	96	21	,	,	PUNCT
ajst-5248	96	22	m.	m.	NOUN
ajst-5248	96	23	,	,	PUNCT
ajst-5248	96	24	benenson	benenson	PROPN
ajst-5248	96	25	,	,	PUNCT
ajst-5248	96	26	r.	r.	PROPN
ajst-5248	96	27	,et	,et	PUNCT
ajst-5248	96	28	al	al	PROPN
ajst-5248	96	29	.	.	PROPN
ajst-5248	96	30	:	:	PUNCT
ajst-5248	97	1	‘	'	PUNCT
ajst-5248	97	2	the	the	DET
ajst-5248	97	3	cityscapes	cityscape	NOUN
ajst-5248	97	4	dataset	dataset	VERB
ajst-5248	97	5	for	for	ADP
ajst-5248	97	6	semantic	semantic	ADJ
ajst-5248	97	7	urban	urban	ADJ
ajst-5248	97	8	scene	scene	NOUN
ajst-5248	97	9	understanding	understand	VERB
ajst-5248	97	10	’	'	PUNCT
ajst-5248	97	11	,	,	PUNCT
ajst-5248	97	12	2016	2016	NUM
ajst-5248	97	13	ieee	ieee	NOUN
ajst-5248	97	14	conference	conference	NOUN
ajst-5248	97	15	on	on	ADP
ajst-5248	97	16	computer	computer	NOUN
ajst-5248	97	17	vision	vision	NOUN
ajst-5248	97	18	and	and	CCONJ
ajst-5248	97	19	pattern	pattern	NOUN
ajst-5248	97	20	recognition	recognition	NOUN
ajst-5248	97	21	(	(	PUNCT
ajst-5248	97	22	cvpr	cvpr	NOUN
ajst-5248	97	23	)	)	PUNCT
ajst-5248	97	24	,	,	PUNCT
ajst-5248	97	25	2016,pp	2016,pp	NUM
ajst-5248	97	26	.	.	PUNCT
ajst-5248	98	1	3213–3223	3213–3223	NUM
ajst-5248	98	2	.	.	PUNCT
ajst-5248	99	1	[	[	X
ajst-5248	99	2	18	18	NUM
ajst-5248	99	3	]	]	X
ajst-5248	99	4	brostow	brostow	ADV
ajst-5248	99	5	,	,	PUNCT
ajst-5248	99	6	g.j	g.j	PROPN
ajst-5248	99	7	.	.	PROPN
ajst-5248	99	8	,	,	PUNCT
ajst-5248	99	9	shotton	shotton	PROPN
ajst-5248	99	10	,	,	PUNCT
ajst-5248	99	11	j.	j.	PROPN
ajst-5248	99	12	,	,	PUNCT
ajst-5248	99	13	fauqueur	fauqueur	PROPN
ajst-5248	99	14	,	,	PUNCT
ajst-5248	99	15	j.	j.	PROPN
ajst-5248	99	16	,	,	PUNCT
ajst-5248	99	17	cipolla	cipolla	PROPN
ajst-5248	99	18	,	,	PUNCT
ajst-5248	99	19	r.	r.	PROPN
ajst-5248	99	20	:	:	PUNCT
ajst-5248	99	21	‘	'	PUNCT
ajst-5248	99	22	r.	r.	NOUN
ajst-5248	99	23	:	:	PUNCT
ajst-5248	99	24	segmentation	segmentation	NOUN
ajst-5248	99	25	and	and	CCONJ
ajst-5248	99	26	recognition	recognition	NOUN
ajst-5248	99	27	using	use	VERB
ajst-5248	99	28	structure	structure	NOUN
ajst-5248	99	29	from	from	ADP
ajst-5248	99	30	motion	motion	NOUN
ajst-5248	99	31	point	point	NOUN
ajst-5248	99	32	clouds	cloud	NOUN
ajst-5248	99	33	’	'	PUNCT
ajst-5248	99	34	,	,	PUNCT
ajst-5248	99	35	in	in	ADP
ajst-5248	99	36	:	:	PUNCT
ajst-5248	99	37	eccv	eccv	ADJ
ajst-5248	99	38	,	,	PUNCT
ajst-5248	99	39	2008	2008	NUM
ajst-5248	99	40	.	.	PUNCT
ajst-5248	100	1	[	[	X
ajst-5248	100	2	19	19	NUM
ajst-5248	100	3	]	]	X
ajst-5248	100	4	caesar	caesar	PROPN
ajst-5248	100	5	,	,	PUNCT
ajst-5248	100	6	h.	h.	PROPN
ajst-5248	100	7	,	,	PUNCT
ajst-5248	100	8	uijlings	uijling	NOUN
ajst-5248	100	9	,	,	PUNCT
ajst-5248	100	10	j.	j.	PROPN
ajst-5248	100	11	,	,	PUNCT
ajst-5248	100	12	ferrari	ferrari	PROPN
ajst-5248	100	13	,	,	PUNCT
ajst-5248	100	14	v.	v.	ADV
ajst-5248	100	15	:	:	PUNCT
ajst-5248	100	16	‘	'	PUNCT
ajst-5248	100	17	coco	coco	NOUN
ajst-5248	100	18	-	-	PUNCT
ajst-5248	100	19	stuff	stuff	NOUN
ajst-5248	100	20	:	:	PUNCT
ajst-5248	100	21	thing	thing	NOUN
ajst-5248	100	22	and	and	CCONJ
ajst-5248	100	23	stuff	stuff	NOUN
ajst-5248	100	24	classes	class	NOUN
ajst-5248	100	25	in	in	ADP
ajst-5248	100	26	context’,proceedings	context’,proceeding	NOUN
ajst-5248	100	27	of	of	ADP
ajst-5248	100	28	the	the	DET
ajst-5248	100	29	ieee	ieee	NOUN
ajst-5248	100	30	conference	conference	NOUN
ajst-5248	100	31	on	on	ADP
ajst-5248	100	32	computer	computer	NOUN
ajst-5248	100	33	vision	vision	NOUN
ajst-5248	100	34	and	and	CCONJ
ajst-5248	100	35	pattern	pattern	NOUN
ajst-5248	100	36	recognition,2018	recognition,2018	ADP
ajst-5248	100	37	,	,	PUNCT
ajst-5248	100	38	pp	pp	ADJ
ajst-5248	100	39	.	.	PUNCT
ajst-5248	100	40	1209–1218	1209–1218	NUM
ajst-5248	100	41	.	.	PUNCT