id	sid	tid	token	lemma	pos
fcis-28761	1	1	frontiers	frontier	NOUN
fcis-28761	1	2	in	in	ADP
fcis-28761	1	3	computing	computing	NOUN
fcis-28761	1	4	and	and	CCONJ
fcis-28761	1	5	intelligent	intelligent	ADJ
fcis-28761	1	6	systems	system	NOUN
fcis-28761	1	7	issn	issn	VERB
fcis-28761	1	8	:	:	PUNCT
fcis-28761	1	9	2832	2832	NUM
fcis-28761	1	10	-	-	SYM
fcis-28761	1	11	6024	6024	NUM
fcis-28761	1	12	|	|	NOUN
fcis-28761	1	13	vol	vol	NOUN
fcis-28761	1	14	.	.	PROPN
fcis-28761	2	1	10	10	NUM
fcis-28761	2	2	,	,	PUNCT
fcis-28761	2	3	no	no	INTJ
fcis-28761	2	4	.	.	NOUN
fcis-28761	2	5	3	3	NUM
fcis-28761	2	6	,	,	PUNCT
fcis-28761	2	7	2024	2024	NUM
fcis-28761	2	8	101	101	NUM
fcis-28761	2	9	multi‐scale	multi‐scale	NOUN
fcis-28761	2	10	adaptive	adaptive	ADJ
fcis-28761	2	11	road	road	NOUN
fcis-28761	2	12	extraction	extraction	NOUN
fcis-28761	2	13	network	network	NOUN
fcis-28761	2	14	for	for	ADP
fcis-28761	2	15	high‐	high‐	NOUN
fcis-28761	2	16	resolution	resolution	NOUN
fcis-28761	2	17	remote	remote	ADJ
fcis-28761	2	18	sensing	sensing	NOUN
fcis-28761	2	19	images	image	NOUN
fcis-28761	2	20	jiajia	jiajia	VERB
fcis-28761	2	21	liu	liu	PROPN
fcis-28761	2	22	*	*	PROPN
fcis-28761	2	23	,	,	PUNCT
fcis-28761	2	24	chidong	chidong	PROPN
fcis-28761	2	25	huang	huang	PROPN
fcis-28761	2	26	college	college	PROPN
fcis-28761	2	27	of	of	ADP
fcis-28761	2	28	aviation	aviation	NOUN
fcis-28761	2	29	electronics	electronic	NOUN
fcis-28761	2	30	and	and	CCONJ
fcis-28761	2	31	electrical	electrical	ADJ
fcis-28761	2	32	,	,	PUNCT
fcis-28761	2	33	civil	civil	ADJ
fcis-28761	2	34	aviation	aviation	NOUN
fcis-28761	2	35	flight	flight	NOUN
fcis-28761	2	36	university	university	PROPN
fcis-28761	2	37	of	of	ADP
fcis-28761	2	38	china	china	PROPN
fcis-28761	2	39	,	,	PUNCT
fcis-28761	2	40	jianyang	jianyang	PROPN
fcis-28761	2	41	,	,	PUNCT
fcis-28761	2	42	sichuan	sichuan	PROPN
fcis-28761	2	43	,	,	PUNCT
fcis-28761	2	44	641400	641400	NUM
fcis-28761	2	45	,	,	PUNCT
fcis-28761	2	46	china	china	PROPN
fcis-28761	2	47	*	*	PUNCT
fcis-28761	2	48	corresponding	correspond	VERB
fcis-28761	2	49	author	author	NOUN
fcis-28761	2	50	:	:	PUNCT
fcis-28761	2	51	jiajia	jiajia	PROPN
fcis-28761	2	52	liu	liu	PROPN
fcis-28761	2	53	(	(	PUNCT
fcis-28761	2	54	email	email	NOUN
fcis-28761	2	55	:	:	PUNCT
fcis-28761	2	56	cafucljj@163.com	cafucljj@163.com	ADJ
fcis-28761	2	57	)	)	PUNCT
fcis-28761	2	58	abstract	abstract	NOUN
fcis-28761	2	59	:	:	PUNCT
fcis-28761	2	60	road	road	NOUN
fcis-28761	2	61	extraction	extraction	NOUN
fcis-28761	2	62	from	from	ADP
fcis-28761	2	63	high	high	ADJ
fcis-28761	2	64	-	-	PUNCT
fcis-28761	2	65	resolution	resolution	NOUN
fcis-28761	2	66	remote	remote	ADJ
fcis-28761	2	67	sensing	sensing	NOUN
fcis-28761	2	68	images	image	NOUN
fcis-28761	2	69	faces	face	VERB
fcis-28761	2	70	challenges	challenge	NOUN
fcis-28761	2	71	such	such	ADJ
fcis-28761	2	72	as	as	ADP
fcis-28761	2	73	discontinuities	discontinuity	NOUN
fcis-28761	2	74	caused	cause	VERB
fcis-28761	2	75	by	by	ADP
fcis-28761	2	76	occlusions	occlusion	NOUN
fcis-28761	2	77	from	from	ADP
fcis-28761	2	78	trees	tree	NOUN
fcis-28761	2	79	and	and	CCONJ
fcis-28761	2	80	buildings	building	NOUN
fcis-28761	2	81	,	,	PUNCT
fcis-28761	2	82	as	as	ADV
fcis-28761	2	83	well	well	ADV
fcis-28761	2	84	as	as	ADP
fcis-28761	2	85	computational	computational	ADJ
fcis-28761	2	86	complexity	complexity	NOUN
fcis-28761	2	87	arising	arise	VERB
fcis-28761	2	88	from	from	ADP
fcis-28761	2	89	varying	vary	VERB
fcis-28761	2	90	road	road	NOUN
fcis-28761	2	91	orientations	orientation	NOUN
fcis-28761	2	92	and	and	CCONJ
fcis-28761	2	93	widths	width	NOUN
fcis-28761	2	94	.	.	PUNCT
fcis-28761	3	1	in	in	ADP
fcis-28761	3	2	order	order	NOUN
fcis-28761	3	3	to	to	PART
fcis-28761	3	4	solve	solve	VERB
fcis-28761	3	5	these	these	DET
fcis-28761	3	6	problems	problem	NOUN
fcis-28761	3	7	,	,	PUNCT
fcis-28761	3	8	this	this	DET
fcis-28761	3	9	paper	paper	NOUN
fcis-28761	3	10	proposes	propose	VERB
fcis-28761	3	11	a	a	DET
fcis-28761	3	12	multi	multi	ADJ
fcis-28761	3	13	-	-	ADJ
fcis-28761	3	14	scale	scale	ADJ
fcis-28761	3	15	adaptive	adaptive	ADJ
fcis-28761	3	16	road	road	NOUN
fcis-28761	3	17	extraction	extraction	NOUN
fcis-28761	3	18	network	network	NOUN
fcis-28761	3	19	(	(	PUNCT
fcis-28761	3	20	marenet	marenet	NOUN
fcis-28761	3	21	)	)	PUNCT
fcis-28761	3	22	,	,	PUNCT
fcis-28761	3	23	which	which	PRON
fcis-28761	3	24	takes	take	VERB
fcis-28761	3	25	convnext	convnext	NOUN
fcis-28761	3	26	as	as	ADP
fcis-28761	3	27	the	the	DET
fcis-28761	3	28	backbone	backbone	NOUN
fcis-28761	3	29	and	and	CCONJ
fcis-28761	3	30	designs	design	VERB
fcis-28761	3	31	the	the	DET
fcis-28761	3	32	atrous	atrous	ADJ
fcis-28761	3	33	pyramid	pyramid	NOUN
fcis-28761	3	34	convolution	convolution	NOUN
fcis-28761	3	35	(	(	PUNCT
fcis-28761	3	36	apc	apc	PROPN
fcis-28761	3	37	)	)	PUNCT
fcis-28761	3	38	module	module	NOUN
fcis-28761	3	39	,	,	PUNCT
fcis-28761	3	40	which	which	PRON
fcis-28761	3	41	can	can	AUX
fcis-28761	3	42	accurately	accurately	ADV
fcis-28761	3	43	extract	extract	VERB
fcis-28761	3	44	the	the	DET
fcis-28761	3	45	roads	road	NOUN
fcis-28761	3	46	in	in	ADP
fcis-28761	3	47	the	the	DET
fcis-28761	3	48	image	image	NOUN
fcis-28761	3	49	,	,	PUNCT
fcis-28761	3	50	and	and	CCONJ
fcis-28761	3	51	the	the	DET
fcis-28761	3	52	frequency	frequency	NOUN
fcis-28761	3	53	adaptive	adaptive	ADJ
fcis-28761	3	54	transformer	transformer	NOUN
fcis-28761	3	55	(	(	PUNCT
fcis-28761	3	56	fat	fat	ADJ
fcis-28761	3	57	)	)	PUNCT
fcis-28761	3	58	module	module	NOUN
fcis-28761	3	59	,	,	PUNCT
fcis-28761	3	60	which	which	PRON
fcis-28761	3	61	can	can	AUX
fcis-28761	3	62	focus	focus	VERB
fcis-28761	3	63	on	on	ADP
fcis-28761	3	64	the	the	DET
fcis-28761	3	65	important	important	ADJ
fcis-28761	3	66	features	feature	NOUN
fcis-28761	3	67	in	in	ADP
fcis-28761	3	68	the	the	DET
fcis-28761	3	69	image	image	NOUN
fcis-28761	3	70	and	and	CCONJ
fcis-28761	3	71	avoid	avoid	VERB
fcis-28761	3	72	the	the	DET
fcis-28761	3	73	problem	problem	NOUN
fcis-28761	3	74	of	of	ADP
fcis-28761	3	75	incomplete	incomplete	ADJ
fcis-28761	3	76	extraction	extraction	NOUN
fcis-28761	3	77	.	.	PUNCT
fcis-28761	4	1	the	the	DET
fcis-28761	4	2	network	network	NOUN
fcis-28761	4	3	can	can	AUX
fcis-28761	4	4	effectively	effectively	ADV
fcis-28761	4	5	solve	solve	VERB
fcis-28761	4	6	the	the	DET
fcis-28761	4	7	above	above	ADJ
fcis-28761	4	8	two	two	NUM
fcis-28761	4	9	key	key	ADJ
fcis-28761	4	10	problems	problem	NOUN
fcis-28761	4	11	and	and	CCONJ
fcis-28761	4	12	achieve	achieve	VERB
fcis-28761	4	13	accurate	accurate	ADJ
fcis-28761	4	14	road	road	NOUN
fcis-28761	4	15	extraction	extraction	NOUN
fcis-28761	4	16	.	.	PUNCT
fcis-28761	5	1	earenet	earenet	NOUN
fcis-28761	5	2	was	be	AUX
fcis-28761	5	3	evaluated	evaluate	VERB
fcis-28761	5	4	experimentally	experimentally	ADV
fcis-28761	5	5	on	on	ADP
fcis-28761	5	6	a	a	DET
fcis-28761	5	7	commonly	commonly	ADV
fcis-28761	5	8	used	use	VERB
fcis-28761	5	9	and	and	CCONJ
fcis-28761	5	10	challenging	challenging	ADJ
fcis-28761	5	11	deepglobe	deepglobe	NOUN
fcis-28761	5	12	dataset	dataset	NOUN
fcis-28761	5	13	.	.	PUNCT
fcis-28761	6	1	the	the	DET
fcis-28761	6	2	proposed	propose	VERB
fcis-28761	6	3	method	method	NOUN
fcis-28761	6	4	is	be	AUX
fcis-28761	6	5	superior	superior	ADJ
fcis-28761	6	6	to	to	ADP
fcis-28761	6	7	the	the	DET
fcis-28761	6	8	existing	exist	VERB
fcis-28761	6	9	methods	method	NOUN
fcis-28761	6	10	in	in	ADP
fcis-28761	6	11	terms	term	NOUN
fcis-28761	6	12	of	of	ADP
fcis-28761	6	13	accuracy	accuracy	NOUN
fcis-28761	6	14	,	,	PUNCT
fcis-28761	6	15	precision	precision	NOUN
fcis-28761	6	16	,	,	PUNCT
fcis-28761	6	17	recall	recall	NOUN
fcis-28761	6	18	,	,	PUNCT
fcis-28761	6	19	f1	f1	NOUN
fcis-28761	6	20	-	-	PUNCT
fcis-28761	6	21	score	score	NOUN
fcis-28761	6	22	and	and	CCONJ
fcis-28761	6	23	iou	iou	NOUN
fcis-28761	6	24	,	,	PUNCT
fcis-28761	6	25	and	and	CCONJ
fcis-28761	6	26	the	the	DET
fcis-28761	6	27	results	result	NOUN
fcis-28761	6	28	show	show	VERB
fcis-28761	6	29	that	that	SCONJ
fcis-28761	6	30	the	the	DET
fcis-28761	6	31	proposed	propose	VERB
fcis-28761	6	32	network	network	NOUN
fcis-28761	6	33	has	have	VERB
fcis-28761	6	34	robustness	robustness	NOUN
fcis-28761	6	35	and	and	CCONJ
fcis-28761	6	36	superiority	superiority	NOUN
fcis-28761	6	37	in	in	ADP
fcis-28761	6	38	processing	process	VERB
fcis-28761	6	39	high	high	ADJ
fcis-28761	6	40	-	-	PUNCT
fcis-28761	6	41	resolution	resolution	NOUN
fcis-28761	6	42	road	road	NOUN
fcis-28761	6	43	remote	remote	ADJ
fcis-28761	6	44	sensing	sensing	NOUN
fcis-28761	6	45	images	image	NOUN
fcis-28761	6	46	.	.	PUNCT
fcis-28761	7	1	keywords	keyword	NOUN
fcis-28761	7	2	:	:	PUNCT
fcis-28761	7	3	remote	remote	ADJ
fcis-28761	7	4	sensing	sense	VERB
fcis-28761	7	5	image	image	NOUN
fcis-28761	7	6	;	;	PUNCT
fcis-28761	7	7	road	road	NOUN
fcis-28761	7	8	extraction	extraction	NOUN
fcis-28761	7	9	;	;	PUNCT
fcis-28761	7	10	semantic	semantic	ADJ
fcis-28761	7	11	segmentation	segmentation	NOUN
fcis-28761	7	12	;	;	PUNCT
fcis-28761	7	13	atrous	atrous	ADJ
fcis-28761	7	14	pyramid	pyramid	NOUN
fcis-28761	7	15	convolution	convolution	NOUN
fcis-28761	7	16	;	;	PUNCT
fcis-28761	7	17	attention	attention	NOUN
fcis-28761	7	18	mechanisms	mechanism	NOUN
fcis-28761	7	19	.	.	PUNCT
fcis-28761	8	1	1	1	X
fcis-28761	8	2	.	.	X
fcis-28761	8	3	introduction	introduction	NOUN
fcis-28761	8	4	remote	remote	ADJ
fcis-28761	8	5	sensing	sensing	NOUN
fcis-28761	8	6	images	image	NOUN
fcis-28761	8	7	have	have	VERB
fcis-28761	8	8	critical	critical	ADJ
fcis-28761	8	9	applications	application	NOUN
fcis-28761	8	10	in	in	ADP
fcis-28761	8	11	urban	urban	ADJ
fcis-28761	8	12	planning	planning	NOUN
fcis-28761	8	13	,	,	PUNCT
fcis-28761	8	14	navigation	navigation	NOUN
fcis-28761	8	15	,	,	PUNCT
fcis-28761	8	16	disaster	disaster	NOUN
fcis-28761	8	17	management	management	NOUN
fcis-28761	8	18	,	,	PUNCT
fcis-28761	8	19	and	and	CCONJ
fcis-28761	8	20	autonomous	autonomous	ADJ
fcis-28761	8	21	driving[1	driving[1	PROPN
fcis-28761	8	22	]	]	PUNCT
fcis-28761	8	23	.	.	PUNCT
fcis-28761	9	1	road	road	NOUN
fcis-28761	9	2	extraction	extraction	NOUN
fcis-28761	9	3	from	from	ADP
fcis-28761	9	4	remote	remote	ADJ
fcis-28761	9	5	sensing	sensing	NOUN
fcis-28761	9	6	images	image	NOUN
fcis-28761	9	7	has	have	AUX
fcis-28761	9	8	thus	thus	ADV
fcis-28761	9	9	become	become	VERB
fcis-28761	9	10	a	a	DET
fcis-28761	9	11	prominent	prominent	ADJ
fcis-28761	9	12	research	research	NOUN
fcis-28761	9	13	focus	focus	NOUN
fcis-28761	9	14	in	in	ADP
fcis-28761	9	15	both	both	CCONJ
fcis-28761	9	16	the	the	DET
fcis-28761	9	17	remote	remote	ADJ
fcis-28761	9	18	sensing	sensing	NOUN
fcis-28761	9	19	and	and	CCONJ
fcis-28761	9	20	computer	computer	NOUN
fcis-28761	9	21	vision	vision	NOUN
fcis-28761	9	22	domains[2	domains[2	PROPN
fcis-28761	9	23	]	]	PUNCT
fcis-28761	9	24	.	.	PUNCT
fcis-28761	10	1	however	however	ADV
fcis-28761	10	2	,	,	PUNCT
fcis-28761	10	3	challenges	challenge	NOUN
fcis-28761	10	4	such	such	ADJ
fcis-28761	10	5	as	as	ADP
fcis-28761	10	6	occlusions	occlusion	NOUN
fcis-28761	10	7	from	from	ADP
fcis-28761	10	8	vegetation	vegetation	NOUN
fcis-28761	10	9	,	,	PUNCT
fcis-28761	10	10	shadows	shadow	NOUN
fcis-28761	10	11	cast	cast	VERB
fcis-28761	10	12	by	by	ADP
fcis-28761	10	13	buildings	building	NOUN
fcis-28761	10	14	,	,	PUNCT
fcis-28761	10	15	and	and	CCONJ
fcis-28761	10	16	the	the	DET
fcis-28761	10	17	diverse	diverse	ADJ
fcis-28761	10	18	appearance	appearance	NOUN
fcis-28761	10	19	of	of	ADP
fcis-28761	10	20	roads	road	NOUN
fcis-28761	10	21	across	across	ADP
fcis-28761	10	22	different	different	ADJ
fcis-28761	10	23	environments	environment	NOUN
fcis-28761	10	24	make	make	VERB
fcis-28761	10	25	this	this	DET
fcis-28761	10	26	task	task	NOUN
fcis-28761	10	27	highly	highly	ADV
fcis-28761	10	28	challenging[3	challenging[3	PROPN
fcis-28761	10	29	]	]	PUNCT
fcis-28761	10	30	.	.	PUNCT
fcis-28761	11	1	to	to	PART
fcis-28761	11	2	improve	improve	VERB
fcis-28761	11	3	the	the	DET
fcis-28761	11	4	effectiveness	effectiveness	NOUN
fcis-28761	11	5	of	of	ADP
fcis-28761	11	6	road	road	NOUN
fcis-28761	11	7	extraction	extraction	NOUN
fcis-28761	11	8	from	from	ADP
fcis-28761	11	9	remote	remote	ADJ
fcis-28761	11	10	sensing	sensing	NOUN
fcis-28761	11	11	images	image	NOUN
fcis-28761	11	12	,	,	PUNCT
fcis-28761	11	13	numerous	numerous	ADJ
fcis-28761	11	14	methods	method	NOUN
fcis-28761	11	15	have	have	AUX
fcis-28761	11	16	been	be	AUX
fcis-28761	11	17	developed	develop	VERB
fcis-28761	11	18	,	,	PUNCT
fcis-28761	11	19	ranging	range	VERB
fcis-28761	11	20	from	from	ADP
fcis-28761	11	21	traditional	traditional	ADJ
fcis-28761	11	22	image	image	NOUN
fcis-28761	11	23	processing	processing	NOUN
fcis-28761	11	24	techniques	technique	NOUN
fcis-28761	11	25	to	to	ADP
fcis-28761	11	26	modern	modern	ADJ
fcis-28761	11	27	deep	deep	ADJ
fcis-28761	11	28	learning	learning	NOUN
fcis-28761	11	29	approaches	approach	NOUN
fcis-28761	11	30	.	.	PUNCT
fcis-28761	12	1	with	with	ADP
fcis-28761	12	2	the	the	DET
fcis-28761	12	3	advancement	advancement	NOUN
fcis-28761	12	4	of	of	ADP
fcis-28761	12	5	deep	deep	ADJ
fcis-28761	12	6	learning	learning	NOUN
fcis-28761	12	7	,	,	PUNCT
fcis-28761	12	8	road	road	NOUN
fcis-28761	12	9	extraction	extraction	NOUN
fcis-28761	12	10	tasks	task	NOUN
fcis-28761	12	11	have	have	AUX
fcis-28761	12	12	seen	see	VERB
fcis-28761	12	13	significant	significant	ADJ
fcis-28761	12	14	improvements	improvement	NOUN
fcis-28761	12	15	.	.	PUNCT
fcis-28761	13	1	convolutional	convolutional	ADJ
fcis-28761	13	2	neural	neural	ADJ
fcis-28761	13	3	network	network	NOUN
fcis-28761	13	4	(	(	PUNCT
fcis-28761	13	5	cnn	cnn	PROPN
fcis-28761	13	6	)	)	PUNCT
fcis-28761	13	7	models	model	NOUN
fcis-28761	13	8	,	,	PUNCT
fcis-28761	13	9	such	such	ADJ
fcis-28761	13	10	as	as	ADP
fcis-28761	13	11	fully	fully	ADV
fcis-28761	13	12	convolutional	convolutional	ADJ
fcis-28761	13	13	network	network	NOUN
fcis-28761	13	14	(	(	PUNCT
fcis-28761	13	15	fcn	fcn	NOUN
fcis-28761	13	16	)	)	PUNCT
fcis-28761	13	17	and	and	CCONJ
fcis-28761	13	18	u	u	NOUN
fcis-28761	13	19	-	-	NOUN
fcis-28761	13	20	net	net	ADJ
fcis-28761	13	21	,	,	PUNCT
fcis-28761	13	22	marked	mark	VERB
fcis-28761	13	23	a	a	DET
fcis-28761	13	24	paradigm	paradigm	NOUN
fcis-28761	13	25	shift	shift	NOUN
fcis-28761	13	26	from	from	ADP
fcis-28761	13	27	pixel	pixel	NOUN
fcis-28761	13	28	-	-	PUNCT
fcis-28761	13	29	based	base	VERB
fcis-28761	13	30	methods	method	NOUN
fcis-28761	13	31	to	to	ADP
fcis-28761	13	32	learning	learning	NOUN
fcis-28761	13	33	-	-	PUNCT
fcis-28761	13	34	based	base	VERB
fcis-28761	13	35	methods	method	NOUN
fcis-28761	13	36	,	,	PUNCT
fcis-28761	13	37	enabling	enable	VERB
fcis-28761	13	38	the	the	DET
fcis-28761	13	39	automatic	automatic	ADJ
fcis-28761	13	40	extraction	extraction	NOUN
fcis-28761	13	41	of	of	ADP
fcis-28761	13	42	hierarchical	hierarchical	ADJ
fcis-28761	13	43	features	feature	NOUN
fcis-28761	13	44	from	from	ADP
fcis-28761	13	45	images[4	images[4	NOUN
fcis-28761	13	46	]	]	PUNCT
fcis-28761	13	47	.	.	PUNCT
fcis-28761	14	1	following	follow	VERB
fcis-28761	14	2	the	the	DET
fcis-28761	14	3	success	success	NOUN
fcis-28761	14	4	of	of	ADP
fcis-28761	14	5	basic	basic	ADJ
fcis-28761	14	6	cnn	cnn	PROPN
fcis-28761	14	7	models	model	NOUN
fcis-28761	14	8	,	,	PUNCT
fcis-28761	14	9	advanced	advanced	ADJ
fcis-28761	14	10	architectures	architecture	NOUN
fcis-28761	14	11	like	like	ADP
fcis-28761	14	12	d	d	NOUN
fcis-28761	14	13	-	-	PUNCT
fcis-28761	14	14	linknet[5	linknet[5	ADV
fcis-28761	14	15	]	]	PUNCT
fcis-28761	14	16	introduced	introduce	VERB
fcis-28761	14	17	additional	additional	ADJ
fcis-28761	14	18	techniques	technique	NOUN
fcis-28761	14	19	such	such	ADJ
fcis-28761	14	20	as	as	ADP
fcis-28761	14	21	dilated	dilated	ADJ
fcis-28761	14	22	convolutions	convolution	NOUN
fcis-28761	14	23	,	,	PUNCT
fcis-28761	14	24	which	which	PRON
fcis-28761	14	25	expand	expand	VERB
fcis-28761	14	26	the	the	DET
fcis-28761	14	27	receptive	receptive	ADJ
fcis-28761	14	28	field	field	NOUN
fcis-28761	14	29	while	while	SCONJ
fcis-28761	14	30	maintaining	maintain	VERB
fcis-28761	14	31	computational	computational	ADJ
fcis-28761	14	32	efficiency	efficiency	NOUN
fcis-28761	14	33	.	.	PUNCT
fcis-28761	15	1	by	by	ADP
fcis-28761	15	2	combining	combine	VERB
fcis-28761	15	3	the	the	DET
fcis-28761	15	4	linknet	linknet	NOUN
fcis-28761	15	5	encoder	encoder	NOUN
fcis-28761	15	6	-	-	PUNCT
fcis-28761	15	7	decoder	decoder	NOUN
fcis-28761	15	8	architecture	architecture	NOUN
fcis-28761	15	9	with	with	ADP
fcis-28761	15	10	dilated	dilated	ADJ
fcis-28761	15	11	convolutions	convolution	NOUN
fcis-28761	15	12	,	,	PUNCT
fcis-28761	15	13	d	d	X
fcis-28761	15	14	-	-	PUNCT
fcis-28761	15	15	linknet	linknet	NOUN
fcis-28761	15	16	achieved	achieve	VERB
fcis-28761	15	17	state	state	NOUN
fcis-28761	15	18	-	-	PUNCT
fcis-28761	15	19	of	of	ADP
fcis-28761	15	20	-	-	PUNCT
fcis-28761	15	21	the	the	DET
fcis-28761	15	22	-	-	PUNCT
fcis-28761	15	23	art	art	NOUN
fcis-28761	15	24	performance	performance	NOUN
fcis-28761	15	25	on	on	ADP
fcis-28761	15	26	several	several	ADJ
fcis-28761	15	27	road	road	NOUN
fcis-28761	15	28	extraction	extraction	NOUN
fcis-28761	15	29	tasks	task	NOUN
fcis-28761	15	30	,	,	PUNCT
fcis-28761	15	31	including	include	VERB
fcis-28761	15	32	the	the	DET
fcis-28761	15	33	deepglobe	deepglobe	NOUN
fcis-28761	15	34	challenge	challenge	NOUN
fcis-28761	15	35	.	.	PUNCT
fcis-28761	16	1	transformer	transformer	NOUN
fcis-28761	16	2	models	model	NOUN
fcis-28761	16	3	,	,	PUNCT
fcis-28761	16	4	initially	initially	ADV
fcis-28761	16	5	developed	develop	VERB
fcis-28761	16	6	for	for	ADP
fcis-28761	16	7	natural	natural	ADJ
fcis-28761	16	8	language	language	NOUN
fcis-28761	16	9	processing	processing	NOUN
fcis-28761	16	10	,	,	PUNCT
fcis-28761	16	11	have	have	AUX
fcis-28761	16	12	been	be	AUX
fcis-28761	16	13	adapted	adapt	VERB
fcis-28761	16	14	for	for	ADP
fcis-28761	16	15	computer	computer	NOUN
fcis-28761	16	16	vision	vision	NOUN
fcis-28761	16	17	tasks	task	NOUN
fcis-28761	16	18	,	,	PUNCT
fcis-28761	16	19	including	include	VERB
fcis-28761	16	20	road	road	NOUN
fcis-28761	16	21	extraction[6	extraction[6	PROPN
fcis-28761	16	22	]	]	X
fcis-28761	16	23	for	for	ADP
fcis-28761	16	24	example	example	NOUN
fcis-28761	16	25	,	,	PUNCT
fcis-28761	16	26	seg	seg	PROPN
fcis-28761	16	27	-	-	PUNCT
fcis-28761	16	28	road[7	road[7	PROPN
fcis-28761	16	29	]	]	PUNCT
fcis-28761	16	30	leverages	leverage	VERB
fcis-28761	16	31	the	the	DET
fcis-28761	16	32	self	self	NOUN
fcis-28761	16	33	-	-	PUNCT
fcis-28761	16	34	attention	attention	NOUN
fcis-28761	16	35	mechanism	mechanism	NOUN
fcis-28761	16	36	to	to	PART
fcis-28761	16	37	capture	capture	VERB
fcis-28761	16	38	long	long	ADJ
fcis-28761	16	39	-	-	PUNCT
fcis-28761	16	40	range	range	NOUN
fcis-28761	16	41	dependencies	dependency	NOUN
fcis-28761	16	42	and	and	CCONJ
fcis-28761	16	43	global	global	ADJ
fcis-28761	16	44	contextual	contextual	ADJ
fcis-28761	16	45	information	information	NOUN
fcis-28761	16	46	,	,	PUNCT
fcis-28761	16	47	which	which	PRON
fcis-28761	16	48	are	be	AUX
fcis-28761	16	49	critical	critical	ADJ
fcis-28761	16	50	for	for	ADP
fcis-28761	16	51	understanding	understand	VERB
fcis-28761	16	52	complex	complex	ADJ
fcis-28761	16	53	road	road	NOUN
fcis-28761	16	54	networks	network	NOUN
fcis-28761	16	55	.	.	PUNCT
fcis-28761	17	1	similarly	similarly	ADV
fcis-28761	17	2	,	,	PUNCT
fcis-28761	17	3	the	the	DET
fcis-28761	17	4	swin	swin	PROPN
fcis-28761	17	5	transformer[8	transformer[8	PROPN
fcis-28761	17	6	]	]	PUNCT
fcis-28761	17	7	demonstrated	demonstrate	VERB
fcis-28761	17	8	that	that	SCONJ
fcis-28761	17	9	hierarchical	hierarchical	ADJ
fcis-28761	17	10	attention	attention	NOUN
fcis-28761	17	11	mechanisms	mechanism	NOUN
fcis-28761	17	12	can	can	AUX
fcis-28761	17	13	further	far	ADV
fcis-28761	17	14	enhance	enhance	VERB
fcis-28761	17	15	road	road	NOUN
fcis-28761	17	16	extraction	extraction	NOUN
fcis-28761	17	17	accuracy	accuracy	NOUN
fcis-28761	17	18	by	by	ADP
fcis-28761	17	19	processing	processing	NOUN
fcis-28761	17	20	images	image	NOUN
fcis-28761	17	21	at	at	ADP
fcis-28761	17	22	multiple	multiple	ADJ
fcis-28761	17	23	resolutions[9	resolutions[9	NOUN
fcis-28761	17	24	]	]	PUNCT
fcis-28761	17	25	.	.	PUNCT
fcis-28761	18	1	the	the	DET
fcis-28761	18	2	integration	integration	NOUN
fcis-28761	18	3	of	of	ADP
fcis-28761	18	4	cnns	cnns	ADJ
fcis-28761	18	5	and	and	CCONJ
fcis-28761	18	6	transformer	transformer	NOUN
fcis-28761	18	7	models	model	NOUN
fcis-28761	18	8	has	have	AUX
fcis-28761	18	9	proven	prove	VERB
fcis-28761	18	10	particularly	particularly	ADV
fcis-28761	18	11	effective	effective	ADJ
fcis-28761	18	12	for	for	ADP
fcis-28761	18	13	road	road	NOUN
fcis-28761	18	14	extraction[10	extraction[10	ADV
fcis-28761	18	15	]	]	PUNCT
fcis-28761	18	16	.	.	PUNCT
fcis-28761	19	1	the	the	DET
fcis-28761	19	2	next	next	ADJ
fcis-28761	19	3	-	-	PUNCT
fcis-28761	19	4	vit	vit	NOUN
fcis-28761	19	5	model[11	model[11	NOUN
fcis-28761	19	6	]	]	PUNCT
fcis-28761	19	7	combines	combine	VERB
fcis-28761	19	8	the	the	DET
fcis-28761	19	9	strengths	strength	NOUN
fcis-28761	19	10	of	of	ADP
fcis-28761	19	11	both	both	DET
fcis-28761	19	12	architectures	architecture	NOUN
fcis-28761	19	13	,	,	PUNCT
fcis-28761	19	14	using	use	VERB
fcis-28761	19	15	cnns	cnn	NOUN
fcis-28761	19	16	for	for	ADP
fcis-28761	19	17	efficient	efficient	ADJ
fcis-28761	19	18	local	local	ADJ
fcis-28761	19	19	feature	feature	NOUN
fcis-28761	19	20	extraction	extraction	NOUN
fcis-28761	19	21	and	and	CCONJ
fcis-28761	19	22	transformers	transformer	NOUN
fcis-28761	19	23	for	for	ADP
fcis-28761	19	24	capturing	capture	VERB
fcis-28761	19	25	global	global	ADJ
fcis-28761	19	26	relationships	relationship	NOUN
fcis-28761	19	27	.	.	PUNCT
fcis-28761	20	1	this	this	DET
fcis-28761	20	2	hybrid	hybrid	ADJ
fcis-28761	20	3	approach	approach	NOUN
fcis-28761	20	4	enhances	enhance	VERB
fcis-28761	20	5	the	the	DET
fcis-28761	20	6	model	model	NOUN
fcis-28761	20	7	's	's	PART
fcis-28761	20	8	ability	ability	NOUN
fcis-28761	20	9	to	to	PART
fcis-28761	20	10	process	process	VERB
fcis-28761	20	11	multi	multi	ADJ
fcis-28761	20	12	-	-	ADJ
fcis-28761	20	13	frequency	frequency	ADJ
fcis-28761	20	14	signals	signal	NOUN
fcis-28761	20	15	,	,	PUNCT
fcis-28761	20	16	enabling	enable	VERB
fcis-28761	20	17	the	the	DET
fcis-28761	20	18	capture	capture	NOUN
fcis-28761	20	19	of	of	ADP
fcis-28761	20	20	high	high	ADJ
fcis-28761	20	21	-	-	PUNCT
fcis-28761	20	22	level	level	NOUN
fcis-28761	20	23	structural	structural	ADJ
fcis-28761	20	24	features	feature	NOUN
fcis-28761	20	25	and	and	CCONJ
fcis-28761	20	26	fine	fine	ADV
fcis-28761	20	27	-	-	PUNCT
fcis-28761	20	28	grained	grain	VERB
fcis-28761	20	29	road	road	NOUN
fcis-28761	20	30	details[12	details[12	PROPN
fcis-28761	20	31	]	]	PUNCT
fcis-28761	20	32	.	.	PUNCT
fcis-28761	21	1	despite	despite	SCONJ
fcis-28761	21	2	the	the	DET
fcis-28761	21	3	success	success	NOUN
fcis-28761	21	4	of	of	ADP
fcis-28761	21	5	many	many	ADJ
fcis-28761	21	6	network	network	NOUN
fcis-28761	21	7	-	-	PUNCT
fcis-28761	21	8	based	base	VERB
fcis-28761	21	9	approaches	approach	NOUN
fcis-28761	21	10	in	in	ADP
fcis-28761	21	11	road	road	NOUN
fcis-28761	21	12	extraction	extraction	NOUN
fcis-28761	21	13	,	,	PUNCT
fcis-28761	21	14	challenges	challenge	NOUN
fcis-28761	21	15	remain	remain	VERB
fcis-28761	21	16	.	.	PUNCT
fcis-28761	22	1	these	these	PRON
fcis-28761	22	2	include	include	VERB
fcis-28761	22	3	continuity	continuity	NOUN
fcis-28761	22	4	issues	issue	NOUN
fcis-28761	22	5	caused	cause	VERB
fcis-28761	22	6	by	by	ADP
fcis-28761	22	7	occlusions	occlusion	NOUN
fcis-28761	22	8	from	from	ADP
fcis-28761	22	9	trees	tree	NOUN
fcis-28761	22	10	and	and	CCONJ
fcis-28761	22	11	buildings	building	NOUN
fcis-28761	22	12	,	,	PUNCT
fcis-28761	22	13	as	as	ADV
fcis-28761	22	14	well	well	ADV
fcis-28761	22	15	as	as	ADP
fcis-28761	22	16	difficulties	difficulty	NOUN
fcis-28761	22	17	arising	arise	VERB
fcis-28761	22	18	from	from	ADP
fcis-28761	22	19	varying	vary	VERB
fcis-28761	22	20	road	road	NOUN
fcis-28761	22	21	orientations	orientation	NOUN
fcis-28761	22	22	and	and	CCONJ
fcis-28761	22	23	widths	width	NOUN
fcis-28761	22	24	.	.	PUNCT
fcis-28761	23	1	to	to	PART
fcis-28761	23	2	address	address	VERB
fcis-28761	23	3	these	these	DET
fcis-28761	23	4	challenges	challenge	NOUN
fcis-28761	23	5	,	,	PUNCT
fcis-28761	23	6	this	this	DET
fcis-28761	23	7	study	study	NOUN
fcis-28761	23	8	proposes	propose	VERB
fcis-28761	23	9	marenet	marenet	NOUN
fcis-28761	23	10	,	,	PUNCT
fcis-28761	23	11	which	which	PRON
fcis-28761	23	12	combines	combine	VERB
fcis-28761	23	13	the	the	DET
fcis-28761	23	14	strengths	strength	NOUN
fcis-28761	23	15	of	of	ADP
fcis-28761	23	16	cnns	cnn	NOUN
fcis-28761	23	17	and	and	CCONJ
fcis-28761	23	18	transformers	transformer	NOUN
fcis-28761	23	19	.	.	PUNCT
fcis-28761	24	1	the	the	DET
fcis-28761	24	2	backbone	backbone	NOUN
fcis-28761	24	3	of	of	ADP
fcis-28761	24	4	the	the	DET
fcis-28761	24	5	proposed	propose	VERB
fcis-28761	24	6	network	network	NOUN
fcis-28761	24	7	is	be	AUX
fcis-28761	24	8	convnext[13	convnext[13	NOUN
fcis-28761	24	9	]	]	X
fcis-28761	24	10	,	,	PUNCT
fcis-28761	24	11	and	and	CCONJ
fcis-28761	24	12	it	it	PRON
fcis-28761	24	13	incorporates	incorporate	VERB
fcis-28761	24	14	two	two	NUM
fcis-28761	24	15	key	key	ADJ
fcis-28761	24	16	modules	module	NOUN
fcis-28761	24	17	:	:	PUNCT
fcis-28761	24	18	the	the	DET
fcis-28761	24	19	apc	apc	PROPN
fcis-28761	24	20	and	and	CCONJ
fcis-28761	24	21	the	the	DET
fcis-28761	24	22	fat	fat	NOUN
fcis-28761	24	23	.	.	PUNCT
fcis-28761	25	1	the	the	DET
fcis-28761	25	2	apc	apc	PROPN
fcis-28761	25	3	module	module	NOUN
fcis-28761	25	4	enables	enable	VERB
fcis-28761	25	5	multi	multi	ADJ
fcis-28761	25	6	-	-	ADJ
fcis-28761	25	7	scale	scale	ADJ
fcis-28761	25	8	feature	feature	NOUN
fcis-28761	25	9	representation	representation	NOUN
fcis-28761	25	10	,	,	PUNCT
fcis-28761	25	11	facilitating	facilitate	VERB
fcis-28761	25	12	efficient	efficient	ADJ
fcis-28761	25	13	multi	multi	ADJ
fcis-28761	25	14	-	-	ADJ
fcis-28761	25	15	scale	scale	ADJ
fcis-28761	25	16	feature	feature	NOUN
fcis-28761	25	17	aggregation	aggregation	NOUN
fcis-28761	25	18	and	and	CCONJ
fcis-28761	25	19	enhancing	enhance	VERB
fcis-28761	25	20	the	the	DET
fcis-28761	25	21	network	network	NOUN
fcis-28761	25	22	's	's	PART
fcis-28761	25	23	ability	ability	NOUN
fcis-28761	25	24	to	to	PART
fcis-28761	25	25	handle	handle	VERB
fcis-28761	25	26	varying	vary	VERB
fcis-28761	25	27	road	road	NOUN
fcis-28761	25	28	orientations	orientation	NOUN
fcis-28761	25	29	and	and	CCONJ
fcis-28761	25	30	widths	width	NOUN
fcis-28761	25	31	.	.	PUNCT
fcis-28761	26	1	meanwhile	meanwhile	ADV
fcis-28761	26	2	,	,	PUNCT
fcis-28761	26	3	the	the	DET
fcis-28761	26	4	fat	fat	NOUN
fcis-28761	26	5	module	module	NOUN
fcis-28761	26	6	helps	help	VERB
fcis-28761	26	7	the	the	DET
fcis-28761	26	8	model	model	NOUN
fcis-28761	26	9	focus	focus	VERB
fcis-28761	26	10	on	on	ADP
fcis-28761	26	11	the	the	DET
fcis-28761	26	12	most	most	ADV
fcis-28761	26	13	relevant	relevant	ADJ
fcis-28761	26	14	features	feature	NOUN
fcis-28761	26	15	in	in	ADP
fcis-28761	26	16	the	the	DET
fcis-28761	26	17	image	image	NOUN
fcis-28761	26	18	,	,	PUNCT
fcis-28761	26	19	effectively	effectively	ADV
fcis-28761	26	20	capturing	capture	VERB
fcis-28761	26	21	both	both	CCONJ
fcis-28761	26	22	low	low	ADJ
fcis-28761	26	23	-	-	PUNCT
fcis-28761	26	24	frequency	frequency	NOUN
fcis-28761	26	25	and	and	CCONJ
fcis-28761	26	26	high	high	ADJ
fcis-28761	26	27	-	-	PUNCT
fcis-28761	26	28	frequency	frequency	NOUN
fcis-28761	26	29	information	information	NOUN
fcis-28761	26	30	.	.	PUNCT
fcis-28761	27	1	this	this	DET
fcis-28761	27	2	addresses	address	NOUN
fcis-28761	27	3	road	road	NOUN
fcis-28761	27	4	discontinuities	discontinuity	NOUN
fcis-28761	27	5	caused	cause	VERB
fcis-28761	27	6	by	by	ADP
fcis-28761	27	7	occlusions	occlusion	NOUN
fcis-28761	27	8	and	and	CCONJ
fcis-28761	27	9	improves	improve	VERB
fcis-28761	27	10	segmentation	segmentation	NOUN
fcis-28761	27	11	accuracy	accuracy	NOUN
fcis-28761	27	12	by	by	ADP
fcis-28761	27	13	enhancing	enhance	VERB
fcis-28761	27	14	road	road	NOUN
fcis-28761	27	15	continuity	continuity	NOUN
fcis-28761	27	16	.	.	PUNCT
fcis-28761	28	1	the	the	DET
fcis-28761	28	2	proposed	propose	VERB
fcis-28761	28	3	network	network	NOUN
fcis-28761	28	4	was	be	AUX
fcis-28761	28	5	evaluated	evaluate	VERB
fcis-28761	28	6	on	on	ADP
fcis-28761	28	7	the	the	DET
fcis-28761	28	8	deepglobe	deepglobe	NOUN
fcis-28761	28	9	dataset	dataset	NOUN
fcis-28761	28	10	,	,	PUNCT
fcis-28761	28	11	which	which	PRON
fcis-28761	28	12	is	be	AUX
fcis-28761	28	13	widely	widely	ADV
fcis-28761	28	14	used	use	VERB
fcis-28761	28	15	for	for	ADP
fcis-28761	28	16	road	road	NOUN
fcis-28761	28	17	extraction	extraction	NOUN
fcis-28761	28	18	tasks	task	NOUN
fcis-28761	28	19	in	in	ADP
fcis-28761	28	20	remote	remote	ADJ
fcis-28761	28	21	sensing	sensing	NOUN
fcis-28761	28	22	images	image	NOUN
fcis-28761	28	23	.	.	PUNCT
fcis-28761	29	1	extensive	extensive	ADJ
fcis-28761	29	2	experiments	experiment	NOUN
fcis-28761	29	3	demonstrated	demonstrate	VERB
fcis-28761	29	4	that	that	SCONJ
fcis-28761	29	5	marenet	marenet	NOUN
fcis-28761	29	6	achieved	achieve	VERB
fcis-28761	29	7	advanced	advanced	ADJ
fcis-28761	29	8	performance	performance	NOUN
fcis-28761	29	9	on	on	ADP
fcis-28761	29	10	the	the	DET
fcis-28761	29	11	deepglobe	deepglobe	NOUN
fcis-28761	29	12	dataset	dataset	NOUN
fcis-28761	29	13	,	,	PUNCT
fcis-28761	29	14	surpassing	surpass	VERB
fcis-28761	29	15	most	most	ADJ
fcis-28761	29	16	existing	exist	VERB
fcis-28761	29	17	methods	method	NOUN
fcis-28761	29	18	across	across	ADP
fcis-28761	29	19	evaluation	evaluation	NOUN
fcis-28761	29	20	metrics	metric	NOUN
fcis-28761	29	21	.	.	PUNCT
fcis-28761	30	1	2	2	X
fcis-28761	30	2	.	.	X
fcis-28761	30	3	method	method	PROPN
fcis-28761	30	4	2.1	2.1	NUM
fcis-28761	30	5	.	.	PUNCT
fcis-28761	31	1	overall	overall	ADJ
fcis-28761	31	2	network	network	NOUN
fcis-28761	31	3	architecture	architecture	NOUN
fcis-28761	31	4	this	this	DET
fcis-28761	31	5	study	study	NOUN
fcis-28761	31	6	aims	aim	VERB
fcis-28761	31	7	to	to	PART
fcis-28761	31	8	develop	develop	VERB
fcis-28761	31	9	a	a	DET
fcis-28761	31	10	semantic	semantic	ADJ
fcis-28761	31	11	segmentation	segmentation	NOUN
fcis-28761	31	12	method	method	NOUN
fcis-28761	31	13	for	for	ADP
fcis-28761	31	14	road	road	NOUN
fcis-28761	31	15	extraction	extraction	NOUN
fcis-28761	31	16	in	in	ADP
fcis-28761	31	17	high	high	ADJ
fcis-28761	31	18	-	-	PUNCT
fcis-28761	31	19	resolution	resolution	NOUN
fcis-28761	31	20	remote	remote	ADJ
fcis-28761	31	21	sensing	sensing	NOUN
fcis-28761	31	22	images	image	NOUN
fcis-28761	31	23	.	.	PUNCT
fcis-28761	32	1	the	the	DET
fcis-28761	32	2	structure	structure	NOUN
fcis-28761	32	3	of	of	ADP
fcis-28761	32	4	the	the	DET
fcis-28761	32	5	proposed	propose	VERB
fcis-28761	32	6	marenet	marenet	NOUN
fcis-28761	32	7	is	be	AUX
fcis-28761	32	8	shown	show	VERB
fcis-28761	32	9	in	in	ADP
fcis-28761	32	10	102	102	NUM
fcis-28761	32	11	figure	figure	NOUN
fcis-28761	32	12	1	1	NUM
fcis-28761	32	13	.	.	PUNCT
fcis-28761	33	1	the	the	DET
fcis-28761	33	2	backbone	backbone	NOUN
fcis-28761	33	3	of	of	ADP
fcis-28761	33	4	marenet	marenet	NOUN
fcis-28761	33	5	for	for	ADP
fcis-28761	33	6	feature	feature	NOUN
fcis-28761	33	7	extraction	extraction	NOUN
fcis-28761	33	8	is	be	AUX
fcis-28761	33	9	convnext	convnext	ADJ
fcis-28761	33	10	,	,	PUNCT
fcis-28761	33	11	and	and	CCONJ
fcis-28761	33	12	the	the	DET
fcis-28761	33	13	network	network	NOUN
fcis-28761	33	14	integrates	integrate	VERB
fcis-28761	33	15	the	the	DET
fcis-28761	33	16	designed	design	VERB
fcis-28761	33	17	apc	apc	PROPN
fcis-28761	33	18	module	module	NOUN
fcis-28761	33	19	and	and	CCONJ
fcis-28761	33	20	fat	fat	NOUN
fcis-28761	33	21	module	module	NOUN
fcis-28761	33	22	.	.	PUNCT
fcis-28761	34	1	additionally	additionally	ADV
fcis-28761	34	2	,	,	PUNCT
fcis-28761	34	3	a	a	DET
fcis-28761	34	4	decoder	decoder	NOUN
fcis-28761	34	5	structure	structure	NOUN
fcis-28761	34	6	based	base	VERB
fcis-28761	34	7	on	on	ADP
fcis-28761	34	8	d	d	X
fcis-28761	34	9	-	-	PUNCT
fcis-28761	34	10	linknet	linknet	NOUN
fcis-28761	34	11	is	be	AUX
fcis-28761	34	12	employed	employ	VERB
fcis-28761	34	13	.	.	PUNCT
fcis-28761	35	1	the	the	DET
fcis-28761	35	2	goal	goal	NOUN
fcis-28761	35	3	is	be	AUX
fcis-28761	35	4	to	to	PART
fcis-28761	35	5	address	address	VERB
fcis-28761	35	6	the	the	DET
fcis-28761	35	7	challenges	challenge	NOUN
fcis-28761	35	8	of	of	ADP
fcis-28761	35	9	road	road	NOUN
fcis-28761	35	10	extraction	extraction	NOUN
fcis-28761	35	11	in	in	ADP
fcis-28761	35	12	complex	complex	ADJ
fcis-28761	35	13	environments	environment	NOUN
fcis-28761	35	14	by	by	ADP
fcis-28761	35	15	fusing	fuse	VERB
fcis-28761	35	16	multi	multi	ADJ
fcis-28761	35	17	-	-	ADJ
fcis-28761	35	18	scale	scale	ADJ
fcis-28761	35	19	contextual	contextual	ADJ
fcis-28761	35	20	information	information	NOUN
fcis-28761	35	21	and	and	CCONJ
fcis-28761	35	22	multifrequency	multifrequency	NOUN
fcis-28761	35	23	signals	signal	NOUN
fcis-28761	35	24	,	,	PUNCT
fcis-28761	35	25	achieving	achieve	VERB
fcis-28761	35	26	efficient	efficient	ADJ
fcis-28761	35	27	and	and	CCONJ
fcis-28761	35	28	accurate	accurate	ADJ
fcis-28761	35	29	segmentation	segmentation	NOUN
fcis-28761	35	30	performance	performance	NOUN
fcis-28761	35	31	.	.	PUNCT
fcis-28761	36	1	convnext	convnext	ADJ
fcis-28761	36	2	block	block	PROPN
fcis-28761	36	3	c=192	c=192	PROPN
fcis-28761	36	4	convnext	convnext	ADJ
fcis-28761	36	5	block	block	NOUN
fcis-28761	36	6	c=384	c=384	NOUN
fcis-28761	36	7	convnext	convnext	ADJ
fcis-28761	36	8	block	block	NOUN
fcis-28761	36	9	c=768	c=768	PROPN
fcis-28761	36	10	×3	×3	NOUN
fcis-28761	36	11	×9	×9	NOUN
fcis-28761	36	12	×3	×3	NOUN
fcis-28761	36	13	conv1×1	conv1×1	NOUN
fcis-28761	36	14	c=96	c=96	ADP
fcis-28761	36	15	conv3×3	conv3×3	NOUN
fcis-28761	36	16	c=96	c=96	PRON
fcis-28761	36	17	conv1×1	conv1×1	X
fcis-28761	36	18	c=96	c=96	ADV
fcis-28761	36	19	relu	relu	PROPN
fcis-28761	36	20	de	de	X
fcis-28761	36	21	co	co	X
fcis-28761	36	22	de	de	PROPN
fcis-28761	36	23	r	r	NOUN
fcis-28761	36	24	bl	bl	PROPN
fcis-28761	36	25	oc	oc	PART
fcis-28761	36	26	k	k	PROPN
fcis-28761	36	27	bn	bn	PROPN
fcis-28761	36	28	relubn	relubn	VERB
fcis-28761	36	29	relubn	relubn	VERB
fcis-28761	36	30	decoder	decoder	NOUN
fcis-28761	36	31	block	block	NOUN
fcis-28761	36	32	c=192	c=192	NOUN
fcis-28761	36	33	decoder	decoder	NOUN
fcis-28761	36	34	block	block	NOUN
fcis-28761	36	35	c=384	c=384	NOUN
fcis-28761	36	36	decoder	decoder	NOUN
fcis-28761	36	37	block	block	NOUN
fcis-28761	36	38	c=768	c=768	NUM
fcis-28761	36	39	conv3×3	conv3×3	NOUN
fcis-28761	36	40	c	c	NOUN
fcis-28761	36	41	=	=	SYM
fcis-28761	36	42	num	num	ADJ
fcis-28761	36	43	conv3×3	conv3×3	NOUN
fcis-28761	36	44	c=32	c=32	VERB
fcis-28761	36	45	conv4×4	conv4×4	PROPN
fcis-28761	36	46	c=32	c=32	PROPN
fcis-28761	36	47	relu	relu	NOUN
fcis-28761	36	48	m	m	PROPN
fcis-28761	36	49	l	l	NOUN
fcis-28761	36	50	p	p	NOUN
fcis-28761	36	51	relu	relu	NOUN
fcis-28761	36	52	conv1×1	conv1×1	NOUN
fcis-28761	37	1	atrous	atrous	ADJ
fcis-28761	37	2	conv	conv	ADJ
fcis-28761	37	3	attention	attention	NOUN
fcis-28761	37	4	blockconv1×1	blockconv1×1	NOUN
fcis-28761	37	5	conv1×1	conv1×1	ADP
fcis-28761	37	6	atrous	atrous	ADJ
fcis-28761	37	7	conv	conv	ADJ
fcis-28761	37	8	attention	attention	NOUN
fcis-28761	37	9	blockconv1×1	blockconv1×1	NOUN
fcis-28761	37	10	c	c	NOUN
fcis-28761	37	11	c	c	NOUN
fcis-28761	38	1	+	+	PUNCT
fcis-28761	38	2	+	+	CCONJ
fcis-28761	38	3	+	+	NOUN
fcis-28761	38	4	conv1×1	conv1×1	NOUN
fcis-28761	38	5	conv1×1	conv1×1	NOUN
fcis-28761	38	6	conv1×1	conv1×1	NOUN
fcis-28761	38	7	conv4×4	conv4×4	X
fcis-28761	39	1	c=96	c=96	INTJ
fcis-28761	39	2	dsc7×7	dsc7×7	NOUN
fcis-28761	39	3	c=96	c=96	PROPN
fcis-28761	39	4	conv1×1	conv1×1	X
fcis-28761	39	5	c=96	c=96	AUX
fcis-28761	39	6	conv1×1	conv1×1	PUNCT
fcis-28761	40	1	c=96	c=96	ADV
fcis-28761	40	2	ln	ln	ADV
fcis-28761	40	3	gelu	gelu	NOUN
fcis-28761	41	1	+	+	CCONJ
fcis-28761	41	2	c	c	NOUN
fcis-28761	41	3	on	on	ADP
fcis-28761	41	4	vn	vn	PROPN
fcis-28761	41	5	ex	ex	PROPN
fcis-28761	42	1	t	t	PROPN
fcis-28761	42	2	b	b	PROPN
fcis-28761	42	3	lo	lo	PROPN
fcis-28761	42	4	ck	ck	PROPN
fcis-28761	42	5	×3	×3	PROPN
fcis-28761	42	6	apc	apc	PROPN
fcis-28761	42	7	encode	encode	PROPN
fcis-28761	42	8	decode	decode	PROPN
fcis-28761	42	9	conv1×1	conv1×1	NOUN
fcis-28761	42	10	conv	conv	PROPN
fcis-28761	42	11	block	block	PROPN
fcis-28761	42	12	mhha	mhha	PROPN
fcis-28761	42	13	conv	conv	ADJ
fcis-28761	42	14	block	block	NOUN
fcis-28761	42	15	fat	fat	ADJ
fcis-28761	42	16	fig	fig	NOUN
fcis-28761	42	17	1	1	NUM
fcis-28761	42	18	.	.	PUNCT
fcis-28761	43	1	multi	multi	ADJ
fcis-28761	43	2	-	-	ADJ
fcis-28761	43	3	scale	scale	ADJ
fcis-28761	43	4	adaptive	adaptive	ADJ
fcis-28761	43	5	road	road	NOUN
fcis-28761	43	6	extraction	extraction	NOUN
fcis-28761	43	7	network	network	NOUN
fcis-28761	43	8	marenet	marenet	NOUN
fcis-28761	43	9	employs	employ	VERB
fcis-28761	43	10	convnext	convnext	NOUN
fcis-28761	43	11	as	as	ADP
fcis-28761	43	12	the	the	DET
fcis-28761	43	13	encoder	encoder	NOUN
fcis-28761	43	14	,	,	PUNCT
fcis-28761	43	15	which	which	PRON
fcis-28761	43	16	consists	consist	VERB
fcis-28761	43	17	of	of	ADP
fcis-28761	43	18	a	a	DET
fcis-28761	43	19	4×4	4×4	NUM
fcis-28761	43	20	convolution	convolution	NOUN
fcis-28761	43	21	followed	follow	VERB
fcis-28761	43	22	by	by	ADP
fcis-28761	43	23	four	four	NUM
fcis-28761	43	24	convnext	convnext	ADJ
fcis-28761	43	25	blocks	block	NOUN
fcis-28761	43	26	.	.	PUNCT
fcis-28761	44	1	each	each	DET
fcis-28761	44	2	convnext	convnext	ADJ
fcis-28761	44	3	block	block	NOUN
fcis-28761	44	4	contains	contain	VERB
fcis-28761	44	5	one	one	NUM
fcis-28761	44	6	7×7	7×7	NUM
fcis-28761	44	7	depthwise	depthwise	NOUN
fcis-28761	44	8	separable	separable	ADJ
fcis-28761	44	9	convolution	convolution	NOUN
fcis-28761	44	10	(	(	PUNCT
fcis-28761	44	11	dsc	dsc	NOUN
fcis-28761	44	12	)	)	PUNCT
fcis-28761	44	13	and	and	CCONJ
fcis-28761	44	14	two	two	NUM
fcis-28761	44	15	1×1	1×1	ADJ
fcis-28761	44	16	convolutions	convolution	NOUN
fcis-28761	44	17	,	,	PUNCT
fcis-28761	44	18	arranged	arrange	VERB
fcis-28761	44	19	with	with	ADP
fcis-28761	44	20	a	a	DET
fcis-28761	44	21	residual	residual	ADJ
fcis-28761	44	22	connection	connection	NOUN
fcis-28761	44	23	structure	structure	NOUN
fcis-28761	44	24	.	.	PUNCT
fcis-28761	45	1	convnext	convnext	ADJ
fcis-28761	45	2	blocks	block	NOUN
fcis-28761	45	3	of	of	ADP
fcis-28761	45	4	different	different	ADJ
fcis-28761	45	5	dimensions	dimension	NOUN
fcis-28761	45	6	are	be	AUX
fcis-28761	45	7	designed	design	VERB
fcis-28761	45	8	with	with	ADP
fcis-28761	45	9	either	either	CCONJ
fcis-28761	45	10	3	3	NUM
fcis-28761	45	11	layers	layer	NOUN
fcis-28761	45	12	or	or	CCONJ
fcis-28761	45	13	9	9	NUM
fcis-28761	45	14	layers	layer	NOUN
fcis-28761	45	15	,	,	PUNCT
fcis-28761	45	16	as	as	SCONJ
fcis-28761	45	17	annotated	annotate	VERB
fcis-28761	45	18	in	in	ADP
fcis-28761	45	19	the	the	DET
fcis-28761	45	20	figure.to	figure.to	NUM
fcis-28761	45	21	further	far	ADV
fcis-28761	45	22	enhance	enhance	VERB
fcis-28761	45	23	multi	multi	ADJ
fcis-28761	45	24	-	-	ADJ
fcis-28761	45	25	scale	scale	ADJ
fcis-28761	45	26	feature	feature	NOUN
fcis-28761	45	27	representation	representation	NOUN
fcis-28761	45	28	,	,	PUNCT
fcis-28761	45	29	the	the	DET
fcis-28761	45	30	network	network	NOUN
fcis-28761	45	31	incorporates	incorporate	VERB
fcis-28761	45	32	the	the	DET
fcis-28761	45	33	apc	apc	PROPN
fcis-28761	45	34	and	and	CCONJ
fcis-28761	45	35	fat	fat	ADJ
fcis-28761	45	36	modules	module	NOUN
fcis-28761	45	37	.	.	PUNCT
fcis-28761	46	1	the	the	DET
fcis-28761	46	2	apc	apc	PROPN
fcis-28761	46	3	module	module	NOUN
fcis-28761	46	4	consists	consist	VERB
fcis-28761	46	5	of	of	ADP
fcis-28761	46	6	two	two	NUM
fcis-28761	46	7	1×1	1×1	ADJ
fcis-28761	46	8	convolutions	convolution	NOUN
fcis-28761	46	9	,	,	PUNCT
fcis-28761	46	10	dilated	dilated	ADJ
fcis-28761	46	11	convolutions	convolution	NOUN
fcis-28761	46	12	with	with	ADP
fcis-28761	46	13	varying	vary	VERB
fcis-28761	46	14	dilation	dilation	NOUN
fcis-28761	46	15	rates	rate	NOUN
fcis-28761	46	16	,	,	PUNCT
fcis-28761	46	17	and	and	CCONJ
fcis-28761	46	18	an	an	DET
fcis-28761	46	19	attention	attention	NOUN
fcis-28761	46	20	mechanism	mechanism	NOUN
fcis-28761	46	21	module	module	NOUN
fcis-28761	46	22	.	.	PUNCT
fcis-28761	47	1	the	the	DET
fcis-28761	47	2	fat	fat	ADJ
fcis-28761	47	3	module	module	NOUN
fcis-28761	47	4	is	be	AUX
fcis-28761	47	5	composed	compose	VERB
fcis-28761	47	6	of	of	ADP
fcis-28761	47	7	a	a	DET
fcis-28761	47	8	1×1	1×1	NUM
fcis-28761	47	9	convolution	convolution	NOUN
fcis-28761	47	10	,	,	PUNCT
fcis-28761	47	11	a	a	DET
fcis-28761	47	12	convolution	convolution	NOUN
fcis-28761	47	13	block	block	NOUN
fcis-28761	47	14	(	(	PUNCT
fcis-28761	47	15	cb	cb	PROPN
fcis-28761	47	16	)	)	PUNCT
fcis-28761	47	17	,	,	PUNCT
fcis-28761	47	18	and	and	CCONJ
fcis-28761	47	19	a	a	DET
fcis-28761	47	20	hybrid	hybrid	ADJ
fcis-28761	47	21	multi	multi	ADJ
fcis-28761	47	22	-	-	ADJ
fcis-28761	47	23	head	head	ADJ
fcis-28761	47	24	attention	attention	NOUN
fcis-28761	47	25	mechanism	mechanism	NOUN
fcis-28761	47	26	(	(	PUNCT
fcis-28761	47	27	hmha	hmha	NOUN
fcis-28761	47	28	)	)	PUNCT
fcis-28761	47	29	.	.	PUNCT
fcis-28761	48	1	in	in	ADP
fcis-28761	48	2	the	the	DET
fcis-28761	48	3	decoder	decoder	NOUN
fcis-28761	48	4	,	,	PUNCT
fcis-28761	48	5	decoder	decoder	NOUN
fcis-28761	48	6	blocks	block	NOUN
fcis-28761	48	7	progressively	progressively	ADV
fcis-28761	48	8	perform	perform	VERB
fcis-28761	48	9	scale	scale	NOUN
fcis-28761	48	10	transformations	transformation	NOUN
fcis-28761	48	11	on	on	ADP
fcis-28761	48	12	feature	feature	NOUN
fcis-28761	48	13	maps	map	NOUN
fcis-28761	48	14	of	of	ADP
fcis-28761	48	15	different	different	ADJ
fcis-28761	48	16	dimensions	dimension	NOUN
fcis-28761	48	17	.	.	PUNCT
fcis-28761	49	1	these	these	DET
fcis-28761	49	2	transformations	transformation	NOUN
fcis-28761	49	3	are	be	AUX
fcis-28761	49	4	performed	perform	VERB
fcis-28761	49	5	using	use	VERB
fcis-28761	49	6	1×1	1×1	ADJ
fcis-28761	49	7	convolutions	convolution	NOUN
fcis-28761	49	8	to	to	PART
fcis-28761	49	9	adjust	adjust	VERB
fcis-28761	49	10	the	the	DET
fcis-28761	49	11	scales	scale	NOUN
fcis-28761	49	12	,	,	PUNCT
fcis-28761	49	13	and	and	CCONJ
fcis-28761	49	14	the	the	DET
fcis-28761	49	15	feature	feature	NOUN
fcis-28761	49	16	maps	map	NOUN
fcis-28761	49	17	are	be	AUX
fcis-28761	49	18	added	add	VERB
fcis-28761	49	19	step	step	NOUN
fcis-28761	49	20	by	by	ADP
fcis-28761	49	21	step	step	NOUN
fcis-28761	49	22	.	.	PUNCT
fcis-28761	50	1	finally	finally	ADV
fcis-28761	50	2	,	,	PUNCT
fcis-28761	50	3	an	an	DET
fcis-28761	50	4	mlp	mlp	NOUN
fcis-28761	50	5	composed	compose	VERB
fcis-28761	50	6	of	of	ADP
fcis-28761	50	7	convolution	convolution	NOUN
fcis-28761	50	8	layers	layer	NOUN
fcis-28761	50	9	is	be	AUX
fcis-28761	50	10	employed	employ	VERB
fcis-28761	50	11	to	to	PART
fcis-28761	50	12	complete	complete	VERB
fcis-28761	50	13	the	the	DET
fcis-28761	50	14	road	road	NOUN
fcis-28761	50	15	extraction	extraction	NOUN
fcis-28761	50	16	task	task	NOUN
fcis-28761	50	17	.	.	PUNCT
fcis-28761	51	1	this	this	DET
fcis-28761	51	2	design	design	NOUN
fcis-28761	51	3	ensures	ensure	VERB
fcis-28761	51	4	the	the	DET
fcis-28761	51	5	effective	effective	ADJ
fcis-28761	51	6	integration	integration	NOUN
fcis-28761	51	7	of	of	ADP
fcis-28761	51	8	features	feature	NOUN
fcis-28761	51	9	from	from	ADP
fcis-28761	51	10	different	different	ADJ
fcis-28761	51	11	scales	scale	NOUN
fcis-28761	51	12	and	and	CCONJ
fcis-28761	51	13	dimensions	dimension	NOUN
fcis-28761	51	14	,	,	PUNCT
fcis-28761	51	15	leading	lead	VERB
fcis-28761	51	16	to	to	ADP
fcis-28761	51	17	accurate	accurate	ADJ
fcis-28761	51	18	and	and	CCONJ
fcis-28761	51	19	robust	robust	ADJ
fcis-28761	51	20	road	road	NOUN
fcis-28761	51	21	extraction	extraction	NOUN
fcis-28761	51	22	.	.	PUNCT
fcis-28761	52	1	2.2	2.2	NUM
fcis-28761	52	2	.	.	PUNCT
fcis-28761	53	1	atrous	atrous	ADJ
fcis-28761	53	2	pyramid	pyramid	NOUN
fcis-28761	53	3	convolution	convolution	NOUN
fcis-28761	53	4	module	module	NOUN
fcis-28761	53	5	in	in	ADP
fcis-28761	53	6	this	this	DET
fcis-28761	53	7	work	work	NOUN
fcis-28761	53	8	,	,	PUNCT
fcis-28761	53	9	the	the	DET
fcis-28761	53	10	structure	structure	NOUN
fcis-28761	53	11	of	of	ADP
fcis-28761	53	12	the	the	DET
fcis-28761	53	13	proposed	propose	VERB
fcis-28761	53	14	apc	apc	PROPN
fcis-28761	53	15	module	module	NOUN
fcis-28761	53	16	is	be	AUX
fcis-28761	53	17	illustrated	illustrate	VERB
fcis-28761	53	18	in	in	ADP
fcis-28761	53	19	figure	figure	NOUN
fcis-28761	53	20	2	2	NUM
fcis-28761	53	21	.	.	PUNCT
fcis-28761	54	1	the	the	DET
fcis-28761	54	2	main	main	ADJ
fcis-28761	54	3	design	design	NOUN
fcis-28761	54	4	of	of	ADP
fcis-28761	54	5	the	the	DET
fcis-28761	54	6	apc	apc	PROPN
fcis-28761	54	7	module	module	NOUN
fcis-28761	54	8	includes	include	VERB
fcis-28761	54	9	dilated	dilated	ADJ
fcis-28761	54	10	convolutions	convolution	NOUN
fcis-28761	54	11	with	with	ADP
fcis-28761	54	12	varying	vary	VERB
fcis-28761	54	13	dilation	dilation	NOUN
fcis-28761	54	14	rates	rate	NOUN
fcis-28761	54	15	and	and	CCONJ
fcis-28761	54	16	an	an	DET
fcis-28761	54	17	attention	attention	NOUN
fcis-28761	54	18	mechanism	mechanism	NOUN
fcis-28761	54	19	.	.	PUNCT
fcis-28761	55	1	in	in	ADP
fcis-28761	55	2	road	road	NOUN
fcis-28761	55	3	extraction	extraction	NOUN
fcis-28761	55	4	tasks	task	NOUN
fcis-28761	55	5	,	,	PUNCT
fcis-28761	55	6	dilated	dilated	ADJ
fcis-28761	55	7	convolutions	convolution	NOUN
fcis-28761	55	8	enable	enable	VERB
fcis-28761	55	9	the	the	DET
fcis-28761	55	10	model	model	NOUN
fcis-28761	55	11	to	to	PART
fcis-28761	55	12	capture	capture	VERB
fcis-28761	55	13	large	large	ADJ
fcis-28761	55	14	-	-	PUNCT
fcis-28761	55	15	scale	scale	NOUN
fcis-28761	55	16	contextual	contextual	ADJ
fcis-28761	55	17	information	information	NOUN
fcis-28761	55	18	while	while	SCONJ
fcis-28761	55	19	preserving	preserve	VERB
fcis-28761	55	20	fine	fine	ADJ
fcis-28761	55	21	details	detail	NOUN
fcis-28761	55	22	,	,	PUNCT
fcis-28761	55	23	making	make	VERB
fcis-28761	55	24	it	it	PRON
fcis-28761	55	25	well	well	ADV
fcis-28761	55	26	-	-	PUNCT
fcis-28761	55	27	suited	suit	VERB
fcis-28761	55	28	for	for	ADP
fcis-28761	55	29	handling	handle	VERB
fcis-28761	55	30	complex	complex	ADJ
fcis-28761	55	31	road	road	NOUN
fcis-28761	55	32	structures	structure	NOUN
fcis-28761	55	33	.	.	PUNCT
fcis-28761	56	1	the	the	DET
fcis-28761	56	2	attention	attention	NOUN
fcis-28761	56	3	mechanism	mechanism	NOUN
fcis-28761	56	4	adaptively	adaptively	ADV
fcis-28761	56	5	focuses	focus	VERB
fcis-28761	56	6	on	on	ADP
fcis-28761	56	7	the	the	DET
fcis-28761	56	8	critical	critical	ADJ
fcis-28761	56	9	feature	feature	NOUN
fcis-28761	56	10	regions	region	NOUN
fcis-28761	56	11	within	within	ADP
fcis-28761	56	12	the	the	DET
fcis-28761	56	13	image	image	NOUN
fcis-28761	56	14	,	,	PUNCT
fcis-28761	56	15	enhancing	enhance	VERB
fcis-28761	56	16	the	the	DET
fcis-28761	56	17	resolution	resolution	NOUN
fcis-28761	56	18	of	of	ADP
fcis-28761	56	19	key	key	ADJ
fcis-28761	56	20	areas	area	NOUN
fcis-28761	56	21	and	and	CCONJ
fcis-28761	56	22	thereby	thereby	ADV
fcis-28761	56	23	allowing	allow	VERB
fcis-28761	56	24	for	for	ADP
fcis-28761	56	25	more	more	ADV
fcis-28761	56	26	accurate	accurate	ADJ
fcis-28761	56	27	identification	identification	NOUN
fcis-28761	56	28	of	of	ADP
fcis-28761	56	29	road	road	NOUN
fcis-28761	56	30	boundaries	boundary	NOUN
fcis-28761	56	31	.	.	PUNCT
fcis-28761	57	1	the	the	DET
fcis-28761	57	2	combination	combination	NOUN
fcis-28761	57	3	of	of	ADP
fcis-28761	57	4	these	these	DET
fcis-28761	57	5	two	two	NUM
fcis-28761	57	6	components	component	NOUN
fcis-28761	57	7	improves	improve	VERB
fcis-28761	57	8	the	the	DET
fcis-28761	57	9	precision	precision	NOUN
fcis-28761	57	10	and	and	CCONJ
fcis-28761	57	11	robustness	robustness	NOUN
fcis-28761	57	12	of	of	ADP
fcis-28761	57	13	road	road	NOUN
fcis-28761	57	14	extraction	extraction	NOUN
fcis-28761	57	15	.	.	PUNCT
fcis-28761	58	1	conv3×3	conv3×3	NOUN
fcis-28761	59	1	r	r	NOUN
fcis-28761	59	2	=	=	SYM
fcis-28761	59	3	1	1	NUM
fcis-28761	59	4	conv3×3	conv3×3	NOUN
fcis-28761	59	5	r	r	NOUN
fcis-28761	59	6	=	=	SYM
fcis-28761	59	7	6	6	NUM
fcis-28761	59	8	conv3×3	conv3×3	NOUN
fcis-28761	59	9	r	r	NOUN
fcis-28761	59	10	=	=	SYM
fcis-28761	59	11	12	12	NUM
fcis-28761	59	12	+	+	NUM
fcis-28761	59	13	conv1×1	conv1×1	NOUN
fcis-28761	59	14	pamcam	pamcam	VERB
fcis-28761	59	15	conv	conv	ADJ
fcis-28761	59	16	1×1	1×1	PROPN
fcis-28761	60	1	×	×	PROPN
fcis-28761	60	2	q	q	X
fcis-28761	61	1	k	k	PROPN
fcis-28761	61	2	v	v	PROPN
fcis-28761	61	3	transpose	transpose	NOUN
fcis-28761	61	4	(	(	PUNCT
fcis-28761	61	5	h×w)×(h×w	h×w)×(h×w	PROPN
fcis-28761	61	6	)	)	PUNCT
fcis-28761	61	7	c×h×w	c×h×w	PROPN
fcis-28761	61	8	softmax	softmax	NOUN
fcis-28761	61	9	input	input	NOUN
fcis-28761	61	10	feature	feature	NOUN
fcis-28761	61	11	conv	conv	PROPN
fcis-28761	61	12	1×1	1×1	PROPN
fcis-28761	61	13	conv	conv	ADJ
fcis-28761	61	14	1×1	1×1	PROPN
fcis-28761	61	15	c/8	c/8	NOUN
fcis-28761	61	16	c	c	PUNCT
fcis-28761	62	1	+	+	ADJ
fcis-28761	62	2	×	×	NOUN
fcis-28761	62	3	output	output	NOUN
fcis-28761	62	4	feature	feature	NOUN
fcis-28761	62	5	+	+	CCONJ
fcis-28761	62	6	×	×	NOUN
fcis-28761	62	7	×	×	NOUN
fcis-28761	62	8	q	q	X
fcis-28761	62	9	k	k	PROPN
fcis-28761	62	10	v	v	ADP
fcis-28761	62	11	transpose	transpose	PROPN
fcis-28761	62	12	c×c	c×c	PROPN
fcis-28761	62	13	c×h×w	c×h×w	NOUN
fcis-28761	62	14	softmax	softmax	NOUN
fcis-28761	62	15	input	input	NOUN
fcis-28761	62	16	feature	feature	NOUN
fcis-28761	62	17	output	output	NOUN
fcis-28761	62	18	feature	feature	NOUN
fcis-28761	62	19	input	input	NOUN
fcis-28761	62	20	feature	feature	NOUN
fcis-28761	62	21	output	output	NOUN
fcis-28761	62	22	feature	feature	NOUN
fcis-28761	62	23	position	position	NOUN
fcis-28761	62	24	attention	attention	NOUN
fcis-28761	62	25	module	module	NOUN
fcis-28761	62	26	channel	channel	NOUN
fcis-28761	62	27	attention	attention	NOUN
fcis-28761	62	28	module	module	NOUN
fcis-28761	62	29	+	+	CCONJ
fcis-28761	62	30	fig	fig	NOUN
fcis-28761	62	31	2	2	NUM
fcis-28761	62	32	.	.	PUNCT
fcis-28761	62	33	atrous	atrous	ADJ
fcis-28761	62	34	pyramid	pyramid	NOUN
fcis-28761	62	35	convolution	convolution	PROPN
fcis-28761	62	36	(	(	PUNCT
fcis-28761	62	37	apc	apc	PROPN
fcis-28761	62	38	)	)	PUNCT
fcis-28761	62	39	module	module	NOUN
fcis-28761	62	40	the	the	DET
fcis-28761	62	41	apc	apc	PROPN
fcis-28761	62	42	module	module	NOUN
fcis-28761	62	43	first	first	ADV
fcis-28761	62	44	applies	apply	VERB
fcis-28761	62	45	a	a	DET
fcis-28761	62	46	1×1	1×1	ADJ
fcis-28761	62	47	convolution	convolution	NOUN
fcis-28761	62	48	to	to	PART
fcis-28761	62	49	perform	perform	VERB
fcis-28761	62	50	dimensional	dimensional	ADJ
fcis-28761	62	51	transformation	transformation	NOUN
fcis-28761	62	52	on	on	ADP
fcis-28761	62	53	the	the	DET
fcis-28761	62	54	input	input	NOUN
fcis-28761	62	55	features	feature	NOUN
fcis-28761	62	56	,	,	PUNCT
fcis-28761	62	57	followed	follow	VERB
fcis-28761	62	58	by	by	ADP
fcis-28761	62	59	three	three	NUM
fcis-28761	62	60	parallel	parallel	ADJ
fcis-28761	62	61	3×3	3×3	NUM
fcis-28761	62	62	dilated	dilated	ADJ
fcis-28761	62	63	convolutions	convolution	NOUN
fcis-28761	62	64	for	for	ADP
fcis-28761	62	65	feature	feature	NOUN
fcis-28761	62	66	extraction	extraction	NOUN
fcis-28761	62	67	,	,	PUNCT
fcis-28761	62	68	with	with	ADP
fcis-28761	62	69	dilation	dilation	NOUN
fcis-28761	62	70	rates	rate	NOUN
fcis-28761	62	71	set	set	VERB
fcis-28761	62	72	to	to	ADP
fcis-28761	62	73	1	1	NUM
fcis-28761	62	74	,	,	PUNCT
fcis-28761	62	75	6	6	NUM
fcis-28761	62	76	,	,	PUNCT
fcis-28761	62	77	and	and	CCONJ
fcis-28761	62	78	12	12	NUM
fcis-28761	62	79	,	,	PUNCT
fcis-28761	62	80	respectively	respectively	ADV
fcis-28761	62	81	.	.	PUNCT
fcis-28761	63	1	this	this	DET
fcis-28761	63	2	configuration	configuration	NOUN
fcis-28761	63	3	allows	allow	VERB
fcis-28761	63	4	the	the	DET
fcis-28761	63	5	model	model	NOUN
fcis-28761	63	6	to	to	PART
fcis-28761	63	7	capture	capture	VERB
fcis-28761	63	8	feature	feature	NOUN
fcis-28761	63	9	representations	representation	NOUN
fcis-28761	63	10	at	at	ADP
fcis-28761	63	11	multiple	multiple	ADJ
fcis-28761	63	12	scales	scale	NOUN
fcis-28761	63	13	without	without	ADP
fcis-28761	63	14	significantly	significantly	ADV
fcis-28761	63	15	103	103	NUM
fcis-28761	63	16	increasing	increase	VERB
fcis-28761	63	17	the	the	DET
fcis-28761	63	18	number	number	NOUN
fcis-28761	63	19	of	of	ADP
fcis-28761	63	20	parameters	parameter	NOUN
fcis-28761	63	21	.	.	PUNCT
fcis-28761	64	1	the	the	DET
fcis-28761	64	2	apc	apc	PROPN
fcis-28761	64	3	module	module	NOUN
fcis-28761	64	4	achieves	achieve	VERB
fcis-28761	64	5	computational	computational	ADJ
fcis-28761	64	6	efficiency	efficiency	NOUN
fcis-28761	64	7	while	while	SCONJ
fcis-28761	64	8	capturing	capture	VERB
fcis-28761	64	9	broader	broad	ADJ
fcis-28761	64	10	spatial	spatial	ADJ
fcis-28761	64	11	dependencies	dependency	NOUN
fcis-28761	64	12	.	.	PUNCT
fcis-28761	65	1	the	the	DET
fcis-28761	65	2	output	output	NOUN
fcis-28761	65	3	of	of	ADP
fcis-28761	65	4	the	the	DET
fcis-28761	65	5	apc	apc	PROPN
fcis-28761	65	6	module	module	NOUN
fcis-28761	65	7	is	be	AUX
fcis-28761	65	8	calculated	calculate	VERB
fcis-28761	65	9	as	as	SCONJ
fcis-28761	65	10	follows	follow	VERB
fcis-28761	65	11	:	:	PUNCT
fcis-28761	65	12			NOUN
fcis-28761	66	1			SYM
fcis-28761	66	2			NOUN
fcis-28761	66	3			PUNCT
fcis-28761	66	4	1,6,12	1,6,12	NUM
fcis-28761	66	5	3	3	NUM
fcis-28761	66	6	3	3	NUM
fcis-28761	66	7	1	1	NUM
fcis-28761	66	8	rate	rate	NOUN
fcis-28761	67	1	i	i	PRON
fcis-28761	67	2	apc	apc	PROPN
fcis-28761	68	1	i	i	PRON
fcis-28761	68	2	f	f	PROPN
fcis-28761	68	3	conv	conv	PROPN
fcis-28761	68	4	f	f	PROPN
fcis-28761	68	5			PROPN
fcis-28761	69	1			NUM
fcis-28761	69	2			X
fcis-28761	69	3	(	(	PUNCT
fcis-28761	69	4	1	1	X
fcis-28761	69	5	)	)	PUNCT
fcis-28761	69	6	here	here	ADV
fcis-28761	69	7	f	f	PROPN
fcis-28761	69	8	represents	represent	VERB
fcis-28761	69	9	the	the	DET
fcis-28761	69	10	input	input	NOUN
fcis-28761	69	11	feature	feature	NOUN
fcis-28761	69	12	map	map	NOUN
fcis-28761	69	13	,	,	PUNCT
fcis-28761	69	14	and	and	CCONJ
fcis-28761	69	15	apcf	apcf	PROPN
fcis-28761	69	16	represents	represent	VERB
fcis-28761	69	17	the	the	DET
fcis-28761	69	18	output	output	NOUN
fcis-28761	69	19	feature	feature	NOUN
fcis-28761	69	20	map	map	NOUN
fcis-28761	69	21	.	.	PUNCT
fcis-28761	70	1			NOUN
fcis-28761	70	2	r	r	DET
fcis-28761	70	3	3	3	NUM
fcis-28761	70	4	3	3	NUM
fcis-28761	70	5	ate	eat	VERB
fcis-28761	70	6	iconv	iconv	NOUN
fcis-28761	70	7			NOUN
fcis-28761	70	8	represents	represent	VERB
fcis-28761	70	9	the	the	DET
fcis-28761	70	10	3	3	NUM
fcis-28761	70	11	3	3	NUM
fcis-28761	70	12	convolution	convolution	NOUN
fcis-28761	70	13	operation	operation	NOUN
fcis-28761	70	14	with	with	ADP
fcis-28761	70	15	a	a	DET
fcis-28761	70	16	dilation	dilation	NOUN
fcis-28761	70	17	rate	rate	NOUN
fcis-28761	70	18	of	of	ADP
fcis-28761	70	19	i，this	i，this	PRON
fcis-28761	70	20	design	design	NOUN
fcis-28761	70	21	enables	enable	VERB
fcis-28761	70	22	the	the	DET
fcis-28761	70	23	module	module	NOUN
fcis-28761	70	24	to	to	PART
fcis-28761	70	25	simultaneously	simultaneously	ADV
fcis-28761	70	26	capture	capture	VERB
fcis-28761	70	27	details	detail	NOUN
fcis-28761	70	28	at	at	ADP
fcis-28761	70	29	different	different	ADJ
fcis-28761	70	30	levels	level	NOUN
fcis-28761	70	31	across	across	ADP
fcis-28761	70	32	the	the	DET
fcis-28761	70	33	entire	entire	ADJ
fcis-28761	70	34	feature	feature	NOUN
fcis-28761	70	35	map	map	NOUN
fcis-28761	70	36	,	,	PUNCT
fcis-28761	70	37	thereby	thereby	ADV
fcis-28761	70	38	improving	improve	VERB
fcis-28761	70	39	the	the	DET
fcis-28761	70	40	performance	performance	NOUN
fcis-28761	70	41	of	of	ADP
fcis-28761	70	42	road	road	NOUN
fcis-28761	70	43	extraction	extraction	NOUN
fcis-28761	70	44	.	.	PUNCT
fcis-28761	71	1	2.2.1	2.2.1	NUM
fcis-28761	71	2	.	.	PUNCT
fcis-28761	71	3	channel	channel	NOUN
fcis-28761	71	4	attention	attention	NOUN
fcis-28761	71	5	mechanism	mechanism	NOUN
fcis-28761	71	6	the	the	DET
fcis-28761	71	7	core	core	NOUN
fcis-28761	71	8	idea	idea	NOUN
fcis-28761	71	9	of	of	ADP
fcis-28761	71	10	the	the	DET
fcis-28761	71	11	channel	channel	NOUN
fcis-28761	71	12	attention	attention	NOUN
fcis-28761	71	13	mechanism	mechanism	NOUN
fcis-28761	71	14	(	(	PUNCT
fcis-28761	71	15	cam	cam	NOUN
fcis-28761	71	16	)	)	PUNCT
fcis-28761	71	17	is	be	AUX
fcis-28761	71	18	to	to	PART
fcis-28761	71	19	enhance	enhance	VERB
fcis-28761	71	20	feature	feature	NOUN
fcis-28761	71	21	representation	representation	NOUN
fcis-28761	71	22	by	by	ADP
fcis-28761	71	23	capturing	capture	VERB
fcis-28761	71	24	the	the	DET
fcis-28761	71	25	global	global	ADJ
fcis-28761	71	26	dependencies	dependency	NOUN
fcis-28761	71	27	between	between	ADP
fcis-28761	71	28	different	different	ADJ
fcis-28761	71	29	channels[14	channels[14	PROPN
fcis-28761	71	30	]	]	PUNCT
fcis-28761	71	31	.	.	PUNCT
fcis-28761	72	1	first	first	ADV
fcis-28761	72	2	,	,	PUNCT
fcis-28761	72	3	the	the	DET
fcis-28761	72	4	input	input	NOUN
fcis-28761	72	5	features	feature	NOUN
fcis-28761	72	6	are	be	AUX
fcis-28761	72	7	flattened	flatten	VERB
fcis-28761	72	8	into	into	ADP
fcis-28761	72	9	a	a	DET
fcis-28761	72	10	two	two	NUM
fcis-28761	72	11	-	-	PUNCT
fcis-28761	72	12	dimensional	dimensional	ADJ
fcis-28761	72	13	matrix	matrix	NOUN
fcis-28761	72	14	,	,	PUNCT
fcis-28761	72	15	where	where	SCONJ
fcis-28761	72	16	the	the	DET
fcis-28761	72	17	channels	channel	NOUN
fcis-28761	72	18	are	be	AUX
fcis-28761	72	19	represented	represent	VERB
fcis-28761	72	20	as	as	ADP
fcis-28761	72	21	one	one	NUM
fcis-28761	72	22	-	-	PUNCT
fcis-28761	72	23	dimensional	dimensional	ADJ
fcis-28761	72	24	vectors	vector	NOUN
fcis-28761	72	25	,	,	PUNCT
fcis-28761	72	26	and	and	CCONJ
fcis-28761	72	27	the	the	DET
fcis-28761	72	28	spatial	spatial	ADJ
fcis-28761	72	29	dimensions	dimension	NOUN
fcis-28761	72	30	are	be	AUX
fcis-28761	72	31	flattened	flatten	VERB
fcis-28761	72	32	into	into	ADP
fcis-28761	72	33	the	the	DET
fcis-28761	72	34	other	other	ADJ
fcis-28761	72	35	dimension	dimension	NOUN
fcis-28761	72	36	.	.	PUNCT
fcis-28761	73	1	the	the	DET
fcis-28761	73	2	key	key	ADJ
fcis-28761	73	3	matrix	matrix	NOUN
fcis-28761	73	4	(	(	PUNCT
fcis-28761	73	5	k	k	NOUN
fcis-28761	73	6	)	)	PUNCT
fcis-28761	73	7	is	be	AUX
fcis-28761	73	8	obtained	obtain	VERB
fcis-28761	73	9	through	through	ADP
fcis-28761	73	10	a	a	DET
fcis-28761	73	11	transpose	transpose	NOUN
fcis-28761	73	12	operation	operation	NOUN
fcis-28761	73	13	,	,	PUNCT
fcis-28761	73	14	enabling	enable	VERB
fcis-28761	73	15	it	it	PRON
fcis-28761	73	16	to	to	PART
fcis-28761	73	17	perform	perform	VERB
fcis-28761	73	18	matrix	matrix	NOUN
fcis-28761	73	19	multiplication	multiplication	NOUN
fcis-28761	73	20	with	with	ADP
fcis-28761	73	21	the	the	DET
fcis-28761	73	22	query	query	NOUN
fcis-28761	73	23	matrix	matrix	NOUN
fcis-28761	73	24	(	(	PUNCT
fcis-28761	73	25	q	q	NOUN
fcis-28761	73	26	)	)	PUNCT
fcis-28761	73	27	,	,	PUNCT
fcis-28761	73	28	resulting	result	VERB
fcis-28761	73	29	in	in	ADP
fcis-28761	73	30	a	a	DET
fcis-28761	73	31	channel	channel	NOUN
fcis-28761	73	32	correlation	correlation	NOUN
fcis-28761	73	33	matrix	matrix	NOUN
fcis-28761	73	34	.	.	PUNCT
fcis-28761	74	1	this	this	DET
fcis-28761	74	2	matrix	matrix	NOUN
fcis-28761	74	3	has	have	VERB
fcis-28761	74	4	dimensions	dimension	NOUN
fcis-28761	74	5	c×c	c×c	NOUN
fcis-28761	74	6	,	,	PUNCT
fcis-28761	74	7	representing	represent	VERB
fcis-28761	74	8	the	the	DET
fcis-28761	74	9	interdependencies	interdependency	NOUN
fcis-28761	74	10	between	between	ADP
fcis-28761	74	11	channels	channel	NOUN
fcis-28761	74	12	.	.	PUNCT
fcis-28761	75	1	next	next	ADV
fcis-28761	75	2	,	,	PUNCT
fcis-28761	75	3	the	the	DET
fcis-28761	75	4	attention	attention	NOUN
fcis-28761	75	5	matrix	matrix	NOUN
fcis-28761	75	6	is	be	AUX
fcis-28761	75	7	normalized	normalize	VERB
fcis-28761	75	8	using	use	VERB
fcis-28761	75	9	the	the	DET
fcis-28761	75	10	softmax	softmax	NOUN
fcis-28761	75	11	function	function	NOUN
fcis-28761	75	12	to	to	PART
fcis-28761	75	13	ensure	ensure	VERB
fcis-28761	75	14	the	the	DET
fcis-28761	75	15	numerical	numerical	ADJ
fcis-28761	75	16	stability	stability	NOUN
fcis-28761	75	17	of	of	ADP
fcis-28761	75	18	the	the	DET
fcis-28761	75	19	generated	generate	VERB
fcis-28761	75	20	attention	attention	NOUN
fcis-28761	75	21	weights	weight	NOUN
fcis-28761	75	22	.	.	PUNCT
fcis-28761	76	1	then	then	ADV
fcis-28761	76	2	,	,	PUNCT
fcis-28761	76	3	the	the	DET
fcis-28761	76	4	attention	attention	NOUN
fcis-28761	76	5	weights	weight	NOUN
fcis-28761	76	6	are	be	AUX
fcis-28761	76	7	applied	apply	VERB
fcis-28761	76	8	to	to	ADP
fcis-28761	76	9	the	the	DET
fcis-28761	76	10	value	value	NOUN
fcis-28761	76	11	matrix	matrix	NOUN
fcis-28761	76	12	(	(	PUNCT
fcis-28761	76	13	v	v	NOUN
fcis-28761	76	14	)	)	PUNCT
fcis-28761	76	15	through	through	ADP
fcis-28761	76	16	a	a	DET
fcis-28761	76	17	weighted	weight	VERB
fcis-28761	76	18	summation	summation	NOUN
fcis-28761	76	19	to	to	PART
fcis-28761	76	20	obtain	obtain	VERB
fcis-28761	76	21	enhanced	enhanced	ADJ
fcis-28761	76	22	channel	channel	NOUN
fcis-28761	76	23	features	feature	NOUN
fcis-28761	76	24	.	.	PUNCT
fcis-28761	77	1	finally	finally	ADV
fcis-28761	77	2	,	,	PUNCT
fcis-28761	77	3	the	the	DET
fcis-28761	77	4	enhanced	enhance	VERB
fcis-28761	77	5	features	feature	NOUN
fcis-28761	77	6	are	be	AUX
fcis-28761	77	7	reshaped	reshape	VERB
fcis-28761	77	8	back	back	ADV
fcis-28761	77	9	to	to	ADP
fcis-28761	77	10	their	their	PRON
fcis-28761	77	11	original	original	ADJ
fcis-28761	77	12	dimensions	dimension	NOUN
fcis-28761	77	13	of	of	ADP
fcis-28761	77	14	c×h×w	c×h×w	PROPN
fcis-28761	77	15	.	.	PUNCT
fcis-28761	78	1	this	this	DET
fcis-28761	78	2	process	process	NOUN
fcis-28761	78	3	captures	capture	VERB
fcis-28761	78	4	long	long	ADJ
fcis-28761	78	5	-	-	PUNCT
fcis-28761	78	6	range	range	NOUN
fcis-28761	78	7	dependencies	dependency	NOUN
fcis-28761	78	8	between	between	ADP
fcis-28761	78	9	channels	channel	NOUN
fcis-28761	78	10	,	,	PUNCT
fcis-28761	78	11	significantly	significantly	ADV
fcis-28761	78	12	improving	improve	VERB
fcis-28761	78	13	the	the	DET
fcis-28761	78	14	network	network	NOUN
fcis-28761	78	15	’s	’s	PART
fcis-28761	78	16	ability	ability	NOUN
fcis-28761	78	17	to	to	PART
fcis-28761	78	18	model	model	VERB
fcis-28761	78	19	global	global	ADJ
fcis-28761	78	20	features	feature	NOUN
fcis-28761	78	21	.	.	PUNCT
fcis-28761	79	1	the	the	DET
fcis-28761	79	2	cam	cam	NOUN
fcis-28761	79	3	demonstrates	demonstrate	VERB
fcis-28761	79	4	notable	notable	ADJ
fcis-28761	79	5	effectiveness	effectiveness	NOUN
fcis-28761	79	6	in	in	ADP
fcis-28761	79	7	enhancing	enhance	VERB
fcis-28761	79	8	the	the	DET
fcis-28761	79	9	robustness	robustness	NOUN
fcis-28761	79	10	of	of	ADP
fcis-28761	79	11	semantic	semantic	ADJ
fcis-28761	79	12	feature	feature	NOUN
fcis-28761	79	13	representation	representation	NOUN
fcis-28761	79	14	.	.	PUNCT
fcis-28761	80	1	2.2.2	2.2.2	X
fcis-28761	80	2	.	.	NOUN
fcis-28761	80	3	positional	positional	ADJ
fcis-28761	80	4	attention	attention	NOUN
fcis-28761	80	5	mechanism	mechanism	NOUN
fcis-28761	80	6	in	in	ADP
fcis-28761	80	7	addition	addition	NOUN
fcis-28761	80	8	to	to	ADP
fcis-28761	80	9	cam	cam	PROPN
fcis-28761	80	10	,	,	PUNCT
fcis-28761	80	11	the	the	DET
fcis-28761	80	12	acp	acp	PROPN
fcis-28761	80	13	module	module	NOUN
fcis-28761	80	14	introduces	introduce	VERB
fcis-28761	80	15	a	a	DET
fcis-28761	80	16	positional	positional	ADJ
fcis-28761	80	17	attention	attention	NOUN
fcis-28761	80	18	mechanism	mechanism	NOUN
fcis-28761	80	19	(	(	PUNCT
fcis-28761	80	20	pam	pam	NOUN
fcis-28761	80	21	)	)	PUNCT
fcis-28761	80	22	to	to	PART
fcis-28761	80	23	highlight	highlight	VERB
fcis-28761	80	24	important	important	ADJ
fcis-28761	80	25	spatial	spatial	ADJ
fcis-28761	80	26	regions	region	NOUN
fcis-28761	80	27	in	in	ADP
fcis-28761	80	28	the	the	DET
fcis-28761	80	29	feature	feature	NOUN
fcis-28761	80	30	map	map	NOUN
fcis-28761	80	31	.	.	PUNCT
fcis-28761	81	1	first	first	ADV
fcis-28761	81	2	,	,	PUNCT
fcis-28761	81	3	the	the	DET
fcis-28761	81	4	input	input	NOUN
fcis-28761	81	5	feature	feature	NOUN
fcis-28761	81	6	map	map	NOUN
fcis-28761	81	7	is	be	AUX
fcis-28761	81	8	processed	process	VERB
fcis-28761	81	9	through	through	ADP
fcis-28761	81	10	two	two	NUM
fcis-28761	81	11	1×1	1×1	ADJ
fcis-28761	81	12	convolutions	convolution	NOUN
fcis-28761	81	13	,	,	PUNCT
fcis-28761	81	14	reducing	reduce	VERB
fcis-28761	81	15	the	the	DET
fcis-28761	81	16	number	number	NOUN
fcis-28761	81	17	of	of	ADP
fcis-28761	81	18	channels	channel	NOUN
fcis-28761	81	19	to	to	ADP
fcis-28761	81	20	c/8	c/8	NOUN
fcis-28761	81	21	to	to	PART
fcis-28761	81	22	generate	generate	VERB
fcis-28761	81	23	the	the	DET
fcis-28761	81	24	q	q	NOUN
fcis-28761	81	25	and	and	CCONJ
fcis-28761	81	26	k	k	NOUN
fcis-28761	81	27	,	,	PUNCT
fcis-28761	81	28	while	while	SCONJ
fcis-28761	81	29	another	another	DET
fcis-28761	81	30	convolution	convolution	NOUN
fcis-28761	81	31	maintains	maintain	VERB
fcis-28761	81	32	the	the	DET
fcis-28761	81	33	original	original	ADJ
fcis-28761	81	34	number	number	NOUN
fcis-28761	81	35	of	of	ADP
fcis-28761	81	36	channels	channel	NOUN
fcis-28761	81	37	c	c	VERB
fcis-28761	81	38	to	to	PART
fcis-28761	81	39	generate	generate	VERB
fcis-28761	81	40	the	the	PRON
fcis-28761	81	41	v.	v.	ADP
fcis-28761	81	42	these	these	DET
fcis-28761	81	43	convolution	convolution	NOUN
fcis-28761	81	44	operations	operation	NOUN
fcis-28761	81	45	preserve	preserve	VERB
fcis-28761	81	46	the	the	DET
fcis-28761	81	47	spatial	spatial	ADJ
fcis-28761	81	48	dimensions	dimension	NOUN
fcis-28761	81	49	of	of	ADP
fcis-28761	81	50	the	the	DET
fcis-28761	81	51	feature	feature	NOUN
fcis-28761	81	52	map	map	NOUN
fcis-28761	81	53	.	.	PUNCT
fcis-28761	82	1	next	next	ADV
fcis-28761	82	2	,	,	PUNCT
fcis-28761	82	3	q	q	PUNCT
fcis-28761	82	4	and	and	CCONJ
fcis-28761	82	5	k	k	PROPN
fcis-28761	82	6	are	be	AUX
fcis-28761	82	7	flattened	flatten	VERB
fcis-28761	82	8	into	into	ADP
fcis-28761	82	9	matrices	matrix	NOUN
fcis-28761	82	10	with	with	ADP
fcis-28761	82	11	a	a	DET
fcis-28761	82	12	channel	channel	NOUN
fcis-28761	82	13	dimension	dimension	NOUN
fcis-28761	82	14	of	of	ADP
fcis-28761	82	15	c/8	c/8	PROPN
fcis-28761	82	16	.	.	PUNCT
fcis-28761	83	1	their	their	PRON
fcis-28761	83	2	similarity	similarity	NOUN
fcis-28761	83	3	is	be	AUX
fcis-28761	83	4	calculated	calculate	VERB
fcis-28761	83	5	through	through	ADP
fcis-28761	83	6	a	a	DET
fcis-28761	83	7	matrix	matrix	NOUN
fcis-28761	83	8	dot	dot	NOUN
fcis-28761	83	9	product	product	NOUN
fcis-28761	83	10	to	to	PART
fcis-28761	83	11	produce	produce	VERB
fcis-28761	83	12	an	an	DET
fcis-28761	83	13	attention	attention	NOUN
fcis-28761	83	14	matrix	matrix	NOUN
fcis-28761	83	15	,	,	PUNCT
fcis-28761	83	16	which	which	PRON
fcis-28761	83	17	represents	represent	VERB
fcis-28761	83	18	the	the	DET
fcis-28761	83	19	correlation	correlation	NOUN
fcis-28761	83	20	between	between	ADP
fcis-28761	83	21	each	each	DET
fcis-28761	83	22	position	position	NOUN
fcis-28761	83	23	and	and	CCONJ
fcis-28761	83	24	all	all	DET
fcis-28761	83	25	other	other	ADJ
fcis-28761	83	26	positions	position	NOUN
fcis-28761	83	27	.	.	PUNCT
fcis-28761	84	1	to	to	PART
fcis-28761	84	2	stabilize	stabilize	VERB
fcis-28761	84	3	training	training	NOUN
fcis-28761	84	4	,	,	PUNCT
fcis-28761	84	5	the	the	DET
fcis-28761	84	6	similarity	similarity	NOUN
fcis-28761	84	7	results	result	NOUN
fcis-28761	84	8	are	be	AUX
fcis-28761	84	9	normalized	normalize	VERB
fcis-28761	84	10	using	use	VERB
fcis-28761	84	11	the	the	DET
fcis-28761	84	12	softmax	softmax	NOUN
fcis-28761	84	13	function	function	NOUN
fcis-28761	84	14	.	.	PUNCT
fcis-28761	85	1	the	the	DET
fcis-28761	85	2	attention	attention	NOUN
fcis-28761	85	3	matrix	matrix	NOUN
fcis-28761	85	4	is	be	AUX
fcis-28761	85	5	then	then	ADV
fcis-28761	85	6	applied	apply	VERB
fcis-28761	85	7	to	to	ADP
fcis-28761	85	8	the	the	DET
fcis-28761	85	9	feature	feature	NOUN
fcis-28761	85	10	map	map	NOUN
fcis-28761	85	11	to	to	PART
fcis-28761	85	12	optimize	optimize	VERB
fcis-28761	85	13	the	the	DET
fcis-28761	85	14	model	model	NOUN
fcis-28761	85	15	's	's	PART
fcis-28761	85	16	ability	ability	NOUN
fcis-28761	85	17	to	to	PART
fcis-28761	85	18	focus	focus	VERB
fcis-28761	85	19	on	on	ADP
fcis-28761	85	20	target	target	NOUN
fcis-28761	85	21	regions	region	NOUN
fcis-28761	85	22	.	.	PUNCT
fcis-28761	86	1	the	the	DET
fcis-28761	86	2	attention	attention	NOUN
fcis-28761	86	3	matrix	matrix	NOUN
fcis-28761	86	4	and	and	CCONJ
fcis-28761	86	5	weighted	weight	VERB
fcis-28761	86	6	calculation	calculation	NOUN
fcis-28761	86	7	formula	formula	NOUN
fcis-28761	86	8	are	be	AUX
fcis-28761	86	9	as	as	SCONJ
fcis-28761	86	10	follows	follow	VERB
fcis-28761	86	11	:	:	PUNCT
fcis-28761	86	12			NOUN
fcis-28761	86	13			SYM
fcis-28761	86	14			NOUN
fcis-28761	86	15			SYM
fcis-28761	86	16			NOUN
fcis-28761	86	17			PROPN
fcis-28761	86	18	,	,	PUNCT
fcis-28761	86	19	max	max	PROPN
fcis-28761	87	1	k	k	PROPN
fcis-28761	87	2	q	q	PROPN
fcis-28761	88	1	i	i	PRON
fcis-28761	88	2	k	k	PROPN
fcis-28761	89	1	j	j	PROPN
fcis-28761	90	1	a	a	PRON
fcis-28761	90	2	i	i	PRON
fcis-28761	90	3	j	j	PROPN
fcis-28761	90	4	soft	soft	ADJ
fcis-28761	91	1	d	d	PROPN
fcis-28761	91	2			NOUN
fcis-28761	91	3			NOUN
fcis-28761	91	4			PROPN
fcis-28761	91	5			PROPN
fcis-28761	92	1			NOUN
fcis-28761	92	2			PROPN
fcis-28761	93	1			ADJ
fcis-28761	93	2			NOUN
fcis-28761	93	3			NUM
fcis-28761	93	4	(	(	PUNCT
fcis-28761	93	5	2	2	X
fcis-28761	93	6	)	)	PUNCT
fcis-28761	93	7	where	where	SCONJ
fcis-28761	93	8			NOUN
fcis-28761	93	9	,a	,a	PUNCT
fcis-28761	93	10	i	i	NOUN
fcis-28761	93	11	j	j	PROPN
fcis-28761	93	12	represents	represent	VERB
fcis-28761	93	13	the	the	DET
fcis-28761	93	14	attention	attention	NOUN
fcis-28761	93	15	weight	weight	NOUN
fcis-28761	93	16	between	between	ADP
fcis-28761	93	17	the	the	DET
fcis-28761	93	18	i	i	PROPN
fcis-28761	93	19	position	position	NOUN
fcis-28761	93	20	and	and	CCONJ
fcis-28761	93	21	the	the	DET
fcis-28761	93	22	j	j	PROPN
fcis-28761	93	23	position	position	NOUN
fcis-28761	93	24	,	,	PUNCT
fcis-28761	93	25	and	and	CCONJ
fcis-28761	93	26	kd	kd	PROPN
fcis-28761	93	27	is	be	AUX
fcis-28761	93	28	the	the	DET
fcis-28761	93	29	scaling	scale	VERB
fcis-28761	93	30	factor	factor	NOUN
fcis-28761	93	31	used	use	VERB
fcis-28761	93	32	to	to	PART
fcis-28761	93	33	stabilize	stabilize	VERB
fcis-28761	93	34	training	training	NOUN
fcis-28761	93	35	.	.	PUNCT
fcis-28761	94	1			NOUN
fcis-28761	94	2			PUNCT
fcis-28761	94	3			NOUN
fcis-28761	94	4			PUNCT
fcis-28761	94	5			PROPN
fcis-28761	94	6			PROPN
fcis-28761	94	7	,	,	PUNCT
fcis-28761	94	8	j	j	NOUN
fcis-28761	94	9	o	o	X
fcis-28761	95	1	i	i	PRON
fcis-28761	95	2	a	a	X
fcis-28761	96	1	i	i	PRON
fcis-28761	96	2	j	j	PROPN
fcis-28761	97	1	v	v	NUM
fcis-28761	97	2	j	j	PROPN
fcis-28761	97	3			NUM
fcis-28761	97	4	(	(	PUNCT
fcis-28761	97	5	3	3	X
fcis-28761	97	6	)	)	PUNCT
fcis-28761	97	7	the	the	DET
fcis-28761	97	8	attention	attention	NOUN
fcis-28761	97	9	weights	weight	VERB
fcis-28761	97	10			NOUN
fcis-28761	97	11	,a	,a	NOUN
fcis-28761	97	12	i	i	PRON
fcis-28761	97	13	j	j	PROPN
fcis-28761	97	14	are	be	AUX
fcis-28761	97	15	used	use	VERB
fcis-28761	97	16	to	to	PART
fcis-28761	97	17	perform	perform	VERB
fcis-28761	97	18	a	a	DET
fcis-28761	97	19	weighted	weight	VERB
fcis-28761	97	20	summation	summation	NOUN
fcis-28761	97	21	over	over	ADP
fcis-28761	97	22			PROPN
fcis-28761	98	1	v	v	PROPN
fcis-28761	98	2	j	j	PROPN
fcis-28761	98	3	,	,	PUNCT
fcis-28761	98	4	resulting	result	VERB
fcis-28761	98	5	in	in	ADP
fcis-28761	98	6	the	the	DET
fcis-28761	98	7	positionenhanced	positionenhance	VERB
fcis-28761	98	8	features	feature	NOUN
fcis-28761	98	9			PROPN
fcis-28761	98	10	o	o	PROPN
fcis-28761	98	11	i	i	PRON
fcis-28761	98	12	.	.	PUNCT
fcis-28761	99	1	this	this	DET
fcis-28761	99	2	method	method	NOUN
fcis-28761	99	3	allows	allow	VERB
fcis-28761	99	4	the	the	DET
fcis-28761	99	5	network	network	NOUN
fcis-28761	99	6	to	to	PART
fcis-28761	99	7	adaptively	adaptively	ADV
fcis-28761	99	8	emphasize	emphasize	VERB
fcis-28761	99	9	spatial	spatial	ADJ
fcis-28761	99	10	regions	region	NOUN
fcis-28761	99	11	that	that	PRON
fcis-28761	99	12	are	be	AUX
fcis-28761	99	13	critical	critical	ADJ
fcis-28761	99	14	for	for	ADP
fcis-28761	99	15	the	the	DET
fcis-28761	99	16	segmentation	segmentation	NOUN
fcis-28761	99	17	task	task	NOUN
fcis-28761	99	18	,	,	PUNCT
fcis-28761	99	19	thereby	thereby	ADV
fcis-28761	99	20	improving	improve	VERB
fcis-28761	99	21	the	the	DET
fcis-28761	99	22	accuracy	accuracy	NOUN
fcis-28761	99	23	of	of	ADP
fcis-28761	99	24	boundary	boundary	ADJ
fcis-28761	99	25	delineation	delineation	NOUN
fcis-28761	99	26	and	and	CCONJ
fcis-28761	99	27	object	object	NOUN
fcis-28761	99	28	recognition	recognition	NOUN
fcis-28761	99	29	.	.	PUNCT
fcis-28761	100	1	the	the	DET
fcis-28761	100	2	final	final	ADJ
fcis-28761	100	3	output	output	NOUN
fcis-28761	100	4	of	of	ADP
fcis-28761	100	5	the	the	DET
fcis-28761	100	6	apc	apc	PROPN
fcis-28761	100	7	module	module	NOUN
fcis-28761	100	8	is	be	AUX
fcis-28761	100	9	obtained	obtain	VERB
fcis-28761	100	10	by	by	ADP
fcis-28761	100	11	combining	combine	VERB
fcis-28761	100	12	the	the	DET
fcis-28761	100	13	channel	channel	NOUN
fcis-28761	100	14	and	and	CCONJ
fcis-28761	100	15	positional	positional	ADJ
fcis-28761	100	16	attention	attention	NOUN
fcis-28761	100	17	feature	feature	NOUN
fcis-28761	100	18	maps	map	NOUN
fcis-28761	100	19	.	.	PUNCT
fcis-28761	101	1	this	this	DET
fcis-28761	101	2	fusion	fusion	NOUN
fcis-28761	101	3	of	of	ADP
fcis-28761	101	4	multi	multi	ADJ
fcis-28761	101	5	-	-	NOUN
fcis-28761	101	6	scale	scale	ADJ
fcis-28761	101	7	,	,	PUNCT
fcis-28761	101	8	channel	channel	NOUN
fcis-28761	101	9	,	,	PUNCT
fcis-28761	101	10	and	and	CCONJ
fcis-28761	101	11	positional	positional	ADJ
fcis-28761	101	12	attention	attention	NOUN
fcis-28761	101	13	information	information	NOUN
fcis-28761	101	14	enables	enable	VERB
fcis-28761	101	15	the	the	DET
fcis-28761	101	16	model	model	NOUN
fcis-28761	101	17	to	to	PART
fcis-28761	101	18	more	more	ADV
fcis-28761	101	19	effectively	effectively	ADV
fcis-28761	101	20	capture	capture	VERB
fcis-28761	101	21	complex	complex	ADJ
fcis-28761	101	22	relationships	relationship	NOUN
fcis-28761	101	23	and	and	CCONJ
fcis-28761	101	24	contextual	contextual	ADJ
fcis-28761	101	25	connections	connection	NOUN
fcis-28761	101	26	within	within	ADP
fcis-28761	101	27	the	the	DET
fcis-28761	101	28	data	datum	NOUN
fcis-28761	101	29	.	.	PUNCT
fcis-28761	102	1	the	the	DET
fcis-28761	102	2	apc	apc	PROPN
fcis-28761	102	3	module	module	NOUN
fcis-28761	102	4	provides	provide	VERB
fcis-28761	102	5	a	a	DET
fcis-28761	102	6	comprehensive	comprehensive	ADJ
fcis-28761	102	7	feature	feature	NOUN
fcis-28761	102	8	aggregation	aggregation	NOUN
fcis-28761	102	9	strategy	strategy	NOUN
fcis-28761	102	10	,	,	PUNCT
fcis-28761	102	11	enhancing	enhance	VERB
fcis-28761	102	12	the	the	DET
fcis-28761	102	13	network	network	NOUN
fcis-28761	102	14	's	's	PART
fcis-28761	102	15	ability	ability	NOUN
fcis-28761	102	16	to	to	PART
fcis-28761	102	17	perform	perform	VERB
fcis-28761	102	18	accurate	accurate	ADJ
fcis-28761	102	19	and	and	CCONJ
fcis-28761	102	20	robust	robust	ADJ
fcis-28761	102	21	semantic	semantic	ADJ
fcis-28761	102	22	segmentation	segmentation	NOUN
fcis-28761	102	23	,	,	PUNCT
fcis-28761	102	24	especially	especially	ADV
fcis-28761	102	25	in	in	ADP
fcis-28761	102	26	tasks	task	NOUN
fcis-28761	102	27	involving	involve	VERB
fcis-28761	102	28	varying	vary	VERB
fcis-28761	102	29	object	object	NOUN
fcis-28761	102	30	scales	scale	NOUN
fcis-28761	102	31	and	and	CCONJ
fcis-28761	102	32	spatial	spatial	ADJ
fcis-28761	102	33	structures	structure	NOUN
fcis-28761	102	34	.	.	PUNCT
fcis-28761	103	1	2.3	2.3	NUM
fcis-28761	103	2	.	.	PUNCT
fcis-28761	103	3	frequency	frequency	NOUN
fcis-28761	103	4	adaptive	adaptive	ADJ
fcis-28761	103	5	transformer	transformer	NOUN
fcis-28761	103	6	module	module	NOUN
fcis-28761	103	7	hmha	hmha	NOUN
fcis-28761	103	8	+	+	CCONJ
fcis-28761	103	9	conv	conv	ADJ
fcis-28761	103	10	1×1	1×1	ADJ
fcis-28761	103	11	input	input	NOUN
fcis-28761	103	12	conv	conv	ADJ
fcis-28761	103	13	block	block	NOUN
fcis-28761	103	14	+	+	CCONJ
fcis-28761	103	15	add	add	VERB
fcis-28761	103	16	conv	conv	ADJ
fcis-28761	103	17	block	block	NOUN
fcis-28761	103	18	+	+	CCONJ
fcis-28761	103	19	output	output	NOUN
fcis-28761	103	20	c	c	NOUN
fcis-28761	103	21	concat	concat	NOUN
fcis-28761	103	22	bn	bn	NOUN
fcis-28761	103	23	batch	batch	NOUN
fcis-28761	103	24	normalization	normalization	NOUN
fcis-28761	103	25	vkq	vkq	NOUN
fcis-28761	103	26	linear	linear	VERB
fcis-28761	103	27	linearlinear	linearlinear	VERB
fcis-28761	103	28	average	average	ADJ
fcis-28761	103	29	pooling	pool	VERB
fcis-28761	103	30	scaled	scale	VERB
fcis-28761	103	31	dot	dot	NOUN
fcis-28761	103	32	-	-	PUNCT
fcis-28761	103	33	product	product	NOUN
fcis-28761	103	34	attention	attention	NOUN
fcis-28761	103	35	bn	bn	ADP
fcis-28761	103	36	linear	linear	PROPN
fcis-28761	103	37	c	c	PROPN
fcis-28761	103	38	bn	bn	PROPN
fcis-28761	103	39	relu	relu	PROPN
fcis-28761	103	40	conv	conv	PROPN
fcis-28761	103	41	3×3	3×3	NUM
fcis-28761	103	42	conv	conv	ADJ
fcis-28761	103	43	1×1	1×1	PROPN
fcis-28761	103	44	hmha	hmha	NOUN
fcis-28761	103	45	hybrid	hybrid	ADJ
fcis-28761	103	46	multihead	multihead	NOUN
fcis-28761	103	47	attention	attention	NOUN
fcis-28761	103	48	+	+	CCONJ
fcis-28761	103	49	c	c	NOUN
fcis-28761	103	50	fig	fig	NOUN
fcis-28761	103	51	3	3	NUM
fcis-28761	103	52	.	.	PUNCT
fcis-28761	103	53	frequency	frequency	NOUN
fcis-28761	103	54	adaptive	adaptive	ADJ
fcis-28761	103	55	transformer	transformer	NOUN
fcis-28761	103	56	(	(	PUNCT
fcis-28761	103	57	fat	fat	NOUN
fcis-28761	103	58	)	)	PUNCT
fcis-28761	103	59	module	module	NOUN
fcis-28761	103	60	104	104	NUM
fcis-28761	103	61	transformer	transformer	NOUN
fcis-28761	103	62	modules	module	NOUN
fcis-28761	103	63	are	be	AUX
fcis-28761	103	64	particularly	particularly	ADV
fcis-28761	103	65	effective	effective	ADJ
fcis-28761	103	66	at	at	ADP
fcis-28761	103	67	capturing	capture	VERB
fcis-28761	103	68	low	low	ADJ
fcis-28761	103	69	-	-	PUNCT
fcis-28761	103	70	frequency	frequency	NOUN
fcis-28761	103	71	signals	signal	NOUN
fcis-28761	103	72	,	,	PUNCT
fcis-28761	103	73	which	which	PRON
fcis-28761	103	74	provide	provide	VERB
fcis-28761	103	75	contextual	contextual	ADJ
fcis-28761	103	76	information	information	NOUN
fcis-28761	103	77	and	and	CCONJ
fcis-28761	103	78	help	help	NOUN
fcis-28761	103	79	in	in	ADP
fcis-28761	103	80	understanding	understand	VERB
fcis-28761	103	81	the	the	DET
fcis-28761	103	82	overall	overall	ADJ
fcis-28761	103	83	shape	shape	NOUN
fcis-28761	103	84	of	of	ADP
fcis-28761	103	85	roads[15	roads[15	PROPN
fcis-28761	103	86	]	]	PUNCT
fcis-28761	103	87	.	.	PUNCT
fcis-28761	104	1	however	however	ADV
fcis-28761	104	2	,	,	PUNCT
fcis-28761	104	3	previous	previous	ADJ
fcis-28761	104	4	studies	study	NOUN
fcis-28761	104	5	have	have	AUX
fcis-28761	104	6	shown	show	VERB
fcis-28761	104	7	that	that	SCONJ
fcis-28761	104	8	transformer	transformer	NOUN
fcis-28761	104	9	blocks	block	NOUN
fcis-28761	104	10	might	might	AUX
fcis-28761	104	11	weaken	weaken	VERB
fcis-28761	104	12	high	high	ADJ
fcis-28761	104	13	-	-	PUNCT
fcis-28761	104	14	frequency	frequency	NOUN
fcis-28761	104	15	signals	signal	NOUN
fcis-28761	104	16	,	,	PUNCT
fcis-28761	104	17	such	such	ADJ
fcis-28761	104	18	as	as	ADP
fcis-28761	104	19	local	local	ADJ
fcis-28761	104	20	detailed	detailed	ADJ
fcis-28761	104	21	textures	texture	NOUN
fcis-28761	104	22	.	.	PUNCT
fcis-28761	105	1	since	since	SCONJ
fcis-28761	105	2	both	both	CCONJ
fcis-28761	105	3	high	high	ADJ
fcis-28761	105	4	-	-	PUNCT
fcis-28761	105	5	frequency	frequency	NOUN
fcis-28761	105	6	and	and	CCONJ
fcis-28761	105	7	lowfrequency	lowfrequency	NOUN
fcis-28761	105	8	signals	signal	NOUN
fcis-28761	105	9	are	be	AUX
fcis-28761	105	10	critical	critical	ADJ
fcis-28761	105	11	for	for	ADP
fcis-28761	105	12	human	human	ADJ
fcis-28761	105	13	vision	vision	NOUN
fcis-28761	105	14	,	,	PUNCT
fcis-28761	105	15	it	it	PRON
fcis-28761	105	16	is	be	AUX
fcis-28761	105	17	necessary	necessary	ADJ
fcis-28761	105	18	to	to	PART
fcis-28761	105	19	design	design	VERB
fcis-28761	105	20	an	an	DET
fcis-28761	105	21	efficient	efficient	ADJ
fcis-28761	105	22	combination	combination	NOUN
fcis-28761	105	23	module	module	NOUN
fcis-28761	105	24	to	to	PART
fcis-28761	105	25	capture	capture	VERB
fcis-28761	105	26	comprehensive	comprehensive	ADJ
fcis-28761	105	27	image	image	NOUN
fcis-28761	105	28	features	feature	NOUN
fcis-28761	105	29	.	.	PUNCT
fcis-28761	106	1	based	base	VERB
fcis-28761	106	2	on	on	ADP
fcis-28761	106	3	these	these	DET
fcis-28761	106	4	considerations	consideration	NOUN
fcis-28761	106	5	,	,	PUNCT
fcis-28761	106	6	the	the	DET
fcis-28761	106	7	study	study	NOUN
fcis-28761	106	8	modified	modify	VERB
fcis-28761	106	9	the	the	DET
fcis-28761	106	10	transformer	transformer	NOUN
fcis-28761	106	11	module	module	NOUN
fcis-28761	106	12	to	to	PART
fcis-28761	106	13	design	design	VERB
fcis-28761	106	14	the	the	DET
fcis-28761	106	15	fat	fat	NOUN
fcis-28761	106	16	module	module	NOUN
fcis-28761	106	17	,	,	PUNCT
fcis-28761	106	18	as	as	SCONJ
fcis-28761	106	19	shown	show	VERB
fcis-28761	106	20	in	in	ADP
fcis-28761	106	21	figure	figure	NOUN
fcis-28761	106	22	3	3	NUM
fcis-28761	106	23	,	,	PUNCT
fcis-28761	106	24	which	which	PRON
fcis-28761	106	25	can	can	AUX
fcis-28761	106	26	effectively	effectively	ADV
fcis-28761	106	27	handle	handle	VERB
fcis-28761	106	28	information	information	NOUN
fcis-28761	106	29	from	from	ADP
fcis-28761	106	30	multiple	multiple	ADJ
fcis-28761	106	31	frequency	frequency	NOUN
fcis-28761	106	32	bands	band	NOUN
fcis-28761	106	33	.	.	PUNCT
fcis-28761	107	1	the	the	DET
fcis-28761	107	2	fat	fat	ADJ
fcis-28761	107	3	module	module	NOUN
fcis-28761	107	4	begins	begin	VERB
fcis-28761	107	5	with	with	ADP
fcis-28761	107	6	a	a	DET
fcis-28761	107	7	1×1	1×1	NUM
fcis-28761	107	8	convolution	convolution	NOUN
fcis-28761	107	9	for	for	ADP
fcis-28761	107	10	scale	scale	NOUN
fcis-28761	107	11	transformation	transformation	NOUN
fcis-28761	107	12	.	.	PUNCT
fcis-28761	108	1	the	the	DET
fcis-28761	108	2	cb	cb	PROPN
fcis-28761	108	3	module	module	NOUN
fcis-28761	108	4	,	,	PUNCT
fcis-28761	108	5	designed	design	VERB
fcis-28761	108	6	in	in	ADP
fcis-28761	108	7	a	a	DET
fcis-28761	108	8	residual	residual	ADJ
fcis-28761	108	9	connection	connection	NOUN
fcis-28761	108	10	manner	manner	NOUN
fcis-28761	108	11	,	,	PUNCT
fcis-28761	108	12	processes	process	VERB
fcis-28761	108	13	highfrequency	highfrequency	NOUN
fcis-28761	108	14	information	information	NOUN
fcis-28761	108	15	to	to	PART
fcis-28761	108	16	preserve	preserve	VERB
fcis-28761	108	17	finer	fine	ADJ
fcis-28761	108	18	local	local	ADJ
fcis-28761	108	19	details	detail	NOUN
fcis-28761	108	20	.	.	PUNCT
fcis-28761	109	1	in	in	ADP
fcis-28761	109	2	addition	addition	NOUN
fcis-28761	109	3	to	to	ADP
fcis-28761	109	4	the	the	DET
fcis-28761	109	5	cb	cb	PROPN
fcis-28761	109	6	module	module	NOUN
fcis-28761	109	7	,	,	PUNCT
fcis-28761	109	8	fat	fat	NOUN
fcis-28761	109	9	integrates	integrate	NOUN
fcis-28761	109	10	a	a	DET
fcis-28761	109	11	hmha	hmha	NOUN
fcis-28761	109	12	module	module	NOUN
fcis-28761	109	13	,	,	PUNCT
fcis-28761	109	14	which	which	PRON
fcis-28761	109	15	is	be	AUX
fcis-28761	109	16	inserted	insert	VERB
fcis-28761	109	17	between	between	ADP
fcis-28761	109	18	two	two	NUM
fcis-28761	109	19	cb	cb	NOUN
fcis-28761	109	20	modules	module	NOUN
fcis-28761	109	21	.	.	PUNCT
fcis-28761	110	1	in	in	ADP
fcis-28761	110	2	the	the	DET
fcis-28761	110	3	hmha	hmha	NOUN
fcis-28761	110	4	module	module	NOUN
fcis-28761	110	5	,	,	PUNCT
fcis-28761	110	6	batch	batch	NOUN
fcis-28761	110	7	normalization	normalization	NOUN
fcis-28761	110	8	is	be	AUX
fcis-28761	110	9	first	first	ADV
fcis-28761	110	10	applied	apply	VERB
fcis-28761	110	11	,	,	PUNCT
fcis-28761	110	12	followed	follow	VERB
fcis-28761	110	13	by	by	ADP
fcis-28761	110	14	the	the	DET
fcis-28761	110	15	generation	generation	NOUN
fcis-28761	110	16	of	of	ADP
fcis-28761	110	17	q	q	NOUN
fcis-28761	110	18	,	,	PUNCT
fcis-28761	110	19	k	k	NOUN
fcis-28761	110	20	,	,	PUNCT
fcis-28761	110	21	and	and	CCONJ
fcis-28761	110	22	v	v	NOUN
fcis-28761	110	23	features	feature	NOUN
fcis-28761	110	24	.	.	PUNCT
fcis-28761	111	1	the	the	DET
fcis-28761	111	2	k	k	PROPN
fcis-28761	111	3	and	and	CCONJ
fcis-28761	111	4	v	v	NOUN
fcis-28761	111	5	features	feature	NOUN
fcis-28761	111	6	are	be	AUX
fcis-28761	111	7	enhanced	enhance	VERB
fcis-28761	111	8	for	for	ADP
fcis-28761	111	9	global	global	ADJ
fcis-28761	111	10	information	information	NOUN
fcis-28761	111	11	through	through	ADP
fcis-28761	111	12	average	average	ADJ
fcis-28761	111	13	pooling	pooling	NOUN
fcis-28761	111	14	before	before	ADP
fcis-28761	111	15	being	be	AUX
fcis-28761	111	16	combined	combine	VERB
fcis-28761	111	17	with	with	ADP
fcis-28761	111	18	the	the	DET
fcis-28761	111	19	q	q	NOUN
fcis-28761	111	20	features	feature	NOUN
fcis-28761	111	21	and	and	CCONJ
fcis-28761	111	22	input	input	NOUN
fcis-28761	111	23	into	into	ADP
fcis-28761	111	24	a	a	DET
fcis-28761	111	25	linear	linear	ADJ
fcis-28761	111	26	transformation	transformation	NOUN
fcis-28761	111	27	layer	layer	NOUN
fcis-28761	111	28	.	.	PUNCT
fcis-28761	112	1	these	these	DET
fcis-28761	112	2	three	three	NUM
fcis-28761	112	3	components	component	NOUN
fcis-28761	112	4	then	then	ADV
fcis-28761	112	5	interact	interact	VERB
fcis-28761	112	6	and	and	CCONJ
fcis-28761	112	7	aggregate	aggregate	VERB
fcis-28761	112	8	features	feature	NOUN
fcis-28761	112	9	through	through	ADP
fcis-28761	112	10	a	a	DET
fcis-28761	112	11	scaled	scale	VERB
fcis-28761	112	12	dot	dot	NOUN
fcis-28761	112	13	-	-	PUNCT
fcis-28761	112	14	product	product	NOUN
fcis-28761	112	15	attention	attention	NOUN
fcis-28761	112	16	mechanism	mechanism	NOUN
fcis-28761	112	17	to	to	PART
fcis-28761	112	18	extract	extract	VERB
fcis-28761	112	19	important	important	ADJ
fcis-28761	112	20	information	information	NOUN
fcis-28761	112	21	and	and	CCONJ
fcis-28761	112	22	achieve	achieve	VERB
fcis-28761	112	23	adaptive	adaptive	ADJ
fcis-28761	112	24	information	information	NOUN
fcis-28761	112	25	fusion	fusion	NOUN
fcis-28761	112	26	.	.	PUNCT
fcis-28761	113	1	the	the	DET
fcis-28761	113	2	cb	cb	PROPN
fcis-28761	113	3	and	and	CCONJ
fcis-28761	113	4	hmha	hmha	NOUN
fcis-28761	113	5	modules	module	NOUN
fcis-28761	113	6	work	work	VERB
fcis-28761	113	7	collaboratively	collaboratively	ADV
fcis-28761	113	8	to	to	PART
fcis-28761	113	9	capture	capture	VERB
fcis-28761	113	10	signals	signal	NOUN
fcis-28761	113	11	of	of	ADP
fcis-28761	113	12	different	different	ADJ
fcis-28761	113	13	frequencies	frequency	NOUN
fcis-28761	113	14	.	.	PUNCT
fcis-28761	114	1	after	after	SCONJ
fcis-28761	114	2	the	the	DET
fcis-28761	114	3	outputs	output	NOUN
fcis-28761	114	4	of	of	ADP
fcis-28761	114	5	the	the	DET
fcis-28761	114	6	two	two	NUM
fcis-28761	114	7	modules	module	NOUN
fcis-28761	114	8	are	be	AUX
fcis-28761	114	9	fused	fuse	VERB
fcis-28761	114	10	,	,	PUNCT
fcis-28761	114	11	an	an	DET
fcis-28761	114	12	mlp	mlp	NOUN
fcis-28761	114	13	layer	layer	NOUN
fcis-28761	114	14	is	be	AUX
fcis-28761	114	15	employed	employ	VERB
fcis-28761	114	16	to	to	PART
fcis-28761	114	17	refine	refine	VERB
fcis-28761	114	18	the	the	DET
fcis-28761	114	19	fused	fuse	VERB
fcis-28761	114	20	features	feature	NOUN
fcis-28761	114	21	and	and	CCONJ
fcis-28761	114	22	enhance	enhance	VERB
fcis-28761	114	23	key	key	ADJ
fcis-28761	114	24	representations	representation	NOUN
fcis-28761	114	25	.	.	PUNCT
fcis-28761	115	1	in	in	ADP
fcis-28761	115	2	summary	summary	NOUN
fcis-28761	115	3	,	,	PUNCT
fcis-28761	115	4	fat	fat	NOUN
fcis-28761	115	5	effectively	effectively	ADV
fcis-28761	115	6	combines	combine	VERB
fcis-28761	115	7	multi	multi	ADJ
fcis-28761	115	8	-	-	ADJ
fcis-28761	115	9	frequency	frequency	ADJ
fcis-28761	115	10	signals	signal	NOUN
fcis-28761	115	11	,	,	PUNCT
fcis-28761	115	12	significantly	significantly	ADV
fcis-28761	115	13	improving	improve	VERB
fcis-28761	115	14	the	the	DET
fcis-28761	115	15	model	model	NOUN
fcis-28761	115	16	's	's	PART
fcis-28761	115	17	performance	performance	NOUN
fcis-28761	115	18	.	.	PUNCT
fcis-28761	116	1	3	3	X
fcis-28761	116	2	.	.	X
fcis-28761	116	3	experiments	experiment	NOUN
fcis-28761	116	4	3.1	3.1	NUM
fcis-28761	116	5	.	.	PUNCT
fcis-28761	117	1	implementation	implementation	NOUN
fcis-28761	117	2	details	detail	NOUN
fcis-28761	117	3	the	the	DET
fcis-28761	117	4	experiments	experiment	NOUN
fcis-28761	117	5	were	be	AUX
fcis-28761	117	6	conducted	conduct	VERB
fcis-28761	117	7	using	use	VERB
fcis-28761	117	8	randomly	randomly	ADV
fcis-28761	117	9	cropped	crop	VERB
fcis-28761	117	10	512×512	512×512	NUM
fcis-28761	117	11	resolution	resolution	NOUN
fcis-28761	117	12	windows	window	NOUN
fcis-28761	117	13	from	from	ADP
fcis-28761	117	14	the	the	DET
fcis-28761	117	15	deepglobe	deepglobe	NOUN
fcis-28761	117	16	dataset	dataset	NOUN
fcis-28761	117	17	for	for	ADP
fcis-28761	117	18	network	network	NOUN
fcis-28761	117	19	training	training	NOUN
fcis-28761	117	20	.	.	PUNCT
fcis-28761	118	1	data	datum	NOUN
fcis-28761	118	2	augmentation	augmentation	NOUN
fcis-28761	118	3	techniques	technique	NOUN
fcis-28761	118	4	such	such	ADJ
fcis-28761	118	5	as	as	ADP
fcis-28761	118	6	image	image	NOUN
fcis-28761	118	7	rotation	rotation	NOUN
fcis-28761	118	8	,	,	PUNCT
fcis-28761	118	9	flipping	flipping	NOUN
fcis-28761	118	10	,	,	PUNCT
fcis-28761	118	11	and	and	CCONJ
fcis-28761	118	12	mirroring	mirroring	NOUN
fcis-28761	118	13	were	be	AUX
fcis-28761	118	14	applied	apply	VERB
fcis-28761	118	15	.	.	PUNCT
fcis-28761	119	1	the	the	DET
fcis-28761	119	2	adam	adam	PROPN
fcis-28761	119	3	optimizer	optimizer	NOUN
fcis-28761	119	4	was	be	AUX
fcis-28761	119	5	used	use	VERB
fcis-28761	119	6	,	,	PUNCT
fcis-28761	119	7	with	with	ADP
fcis-28761	119	8	a	a	DET
fcis-28761	119	9	batch	batch	NOUN
fcis-28761	119	10	size	size	NOUN
fcis-28761	119	11	of	of	ADP
fcis-28761	119	12	4	4	NUM
fcis-28761	119	13	and	and	CCONJ
fcis-28761	119	14	an	an	DET
fcis-28761	119	15	initial	initial	ADJ
fcis-28761	119	16	learning	learning	NOUN
fcis-28761	119	17	rate	rate	NOUN
fcis-28761	119	18	of	of	ADP
fcis-28761	119	19	2e-4	2e-4	PROPN
fcis-28761	119	20	.	.	PUNCT
fcis-28761	120	1	a	a	DET
fcis-28761	120	2	total	total	NOUN
fcis-28761	120	3	of	of	ADP
fcis-28761	120	4	90	90	NUM
fcis-28761	120	5	epochs	epoch	NOUN
fcis-28761	120	6	were	be	AUX
fcis-28761	120	7	trained	train	VERB
fcis-28761	120	8	.	.	PUNCT
fcis-28761	121	1	the	the	DET
fcis-28761	121	2	training	training	NOUN
fcis-28761	121	3	of	of	ADP
fcis-28761	121	4	the	the	DET
fcis-28761	121	5	marenet	marenet	NOUN
fcis-28761	121	6	model	model	NOUN
fcis-28761	121	7	was	be	AUX
fcis-28761	121	8	implemented	implement	VERB
fcis-28761	121	9	in	in	ADP
fcis-28761	121	10	pytorch	pytorch	NOUN
fcis-28761	121	11	and	and	CCONJ
fcis-28761	121	12	conducted	conduct	VERB
fcis-28761	121	13	on	on	ADP
fcis-28761	121	14	a	a	DET
fcis-28761	121	15	single	single	ADJ
fcis-28761	121	16	nvidia	nvidia	PROPN
fcis-28761	121	17	2080	2080	NUM
fcis-28761	121	18	super	super	ADJ
fcis-28761	121	19	gpu	gpu	NOUN
fcis-28761	121	20	for	for	ADP
fcis-28761	121	21	all	all	DET
fcis-28761	121	22	experiments	experiment	NOUN
fcis-28761	121	23	.	.	PUNCT
fcis-28761	122	1	during	during	ADP
fcis-28761	122	2	the	the	DET
fcis-28761	122	3	prediction	prediction	NOUN
fcis-28761	122	4	phase	phase	NOUN
fcis-28761	122	5	,	,	PUNCT
fcis-28761	122	6	test	test	NOUN
fcis-28761	122	7	-	-	PUNCT
fcis-28761	122	8	time	time	NOUN
fcis-28761	122	9	augmentation	augmentation	NOUN
fcis-28761	122	10	was	be	AUX
fcis-28761	122	11	employed	employ	VERB
fcis-28761	122	12	,	,	PUNCT
fcis-28761	122	13	which	which	PRON
fcis-28761	122	14	included	include	VERB
fcis-28761	122	15	horizontal	horizontal	ADJ
fcis-28761	122	16	flipping	flipping	NOUN
fcis-28761	122	17	,	,	PUNCT
fcis-28761	122	18	vertical	vertical	ADJ
fcis-28761	122	19	flipping	flipping	NOUN
fcis-28761	122	20	,	,	PUNCT
fcis-28761	122	21	and	and	CCONJ
fcis-28761	122	22	diagonal	diagonal	ADJ
fcis-28761	122	23	flipping	flipping	NOUN
fcis-28761	122	24	of	of	ADP
fcis-28761	122	25	images	image	NOUN
fcis-28761	122	26	.	.	PUNCT
fcis-28761	123	1	the	the	DET
fcis-28761	123	2	outputs	output	NOUN
fcis-28761	123	3	were	be	AUX
fcis-28761	123	4	then	then	ADV
fcis-28761	123	5	restored	restore	VERB
fcis-28761	123	6	to	to	PART
fcis-28761	123	7	match	match	VERB
fcis-28761	123	8	the	the	DET
fcis-28761	123	9	original	original	ADJ
fcis-28761	123	10	image	image	NOUN
fcis-28761	123	11	orientations	orientation	NOUN
fcis-28761	123	12	.	.	PUNCT
fcis-28761	124	1	the	the	DET
fcis-28761	124	2	predicted	predict	VERB
fcis-28761	124	3	probabilities	probability	NOUN
fcis-28761	124	4	from	from	ADP
fcis-28761	124	5	each	each	DET
fcis-28761	124	6	augmented	augment	VERB
fcis-28761	124	7	output	output	NOUN
fcis-28761	124	8	were	be	AUX
fcis-28761	124	9	averaged	average	VERB
fcis-28761	124	10	,	,	PUNCT
fcis-28761	124	11	and	and	CCONJ
fcis-28761	124	12	a	a	DET
fcis-28761	124	13	threshold	threshold	NOUN
fcis-28761	124	14	of	of	ADP
fcis-28761	124	15	0.5	0.5	NUM
fcis-28761	124	16	was	be	AUX
fcis-28761	124	17	applied	apply	VERB
fcis-28761	124	18	to	to	PART
fcis-28761	124	19	generate	generate	VERB
fcis-28761	124	20	binary	binary	ADJ
fcis-28761	124	21	outputs	output	NOUN
fcis-28761	124	22	.	.	PUNCT
fcis-28761	125	1	in	in	ADP
fcis-28761	125	2	the	the	DET
fcis-28761	125	3	final	final	ADJ
fcis-28761	125	4	binary	binary	ADJ
fcis-28761	125	5	output	output	NOUN
fcis-28761	125	6	,	,	PUNCT
fcis-28761	125	7	roads	road	NOUN
fcis-28761	125	8	were	be	AUX
fcis-28761	125	9	labeled	label	VERB
fcis-28761	125	10	as	as	ADP
fcis-28761	125	11	foreground	foreground	NOUN
fcis-28761	125	12	,	,	PUNCT
fcis-28761	125	13	while	while	SCONJ
fcis-28761	125	14	other	other	ADJ
fcis-28761	125	15	objects	object	NOUN
fcis-28761	125	16	were	be	AUX
fcis-28761	125	17	labeled	label	VERB
fcis-28761	125	18	as	as	ADP
fcis-28761	125	19	background	background	NOUN
fcis-28761	125	20	.	.	PUNCT
fcis-28761	126	1	3.2	3.2	NUM
fcis-28761	126	2	.	.	PUNCT
fcis-28761	126	3	dataset	dataset	VERB
fcis-28761	126	4	the	the	DET
fcis-28761	126	5	deepglobe	deepglobe	NOUN
fcis-28761	126	6	dataset	dataset	NOUN
fcis-28761	126	7	contains	contain	VERB
fcis-28761	126	8	6,226	6,226	NUM
fcis-28761	126	9	road	road	NOUN
fcis-28761	126	10	remote	remote	ADJ
fcis-28761	126	11	sensing	sensing	NOUN
fcis-28761	126	12	images	image	NOUN
fcis-28761	126	13	,	,	PUNCT
fcis-28761	126	14	with	with	ADP
fcis-28761	126	15	images	image	NOUN
fcis-28761	126	16	originating	originate	VERB
fcis-28761	126	17	from	from	ADP
fcis-28761	126	18	three	three	NUM
fcis-28761	126	19	different	different	ADJ
fcis-28761	126	20	regions	region	NOUN
fcis-28761	126	21	.	.	PUNCT
fcis-28761	127	1	the	the	DET
fcis-28761	127	2	ground	ground	NOUN
fcis-28761	127	3	resolution	resolution	NOUN
fcis-28761	127	4	is	be	AUX
fcis-28761	127	5	50	50	NUM
fcis-28761	127	6	cm	cm	NOUN
fcis-28761	127	7	/	/	SYM
fcis-28761	127	8	pixel	pixel	PROPN
fcis-28761	127	9	,	,	PUNCT
fcis-28761	127	10	and	and	CCONJ
fcis-28761	127	11	the	the	DET
fcis-28761	127	12	pixel	pixel	PROPN
fcis-28761	127	13	resolution	resolution	NOUN
fcis-28761	127	14	is	be	AUX
fcis-28761	127	15	1024×1024	1024×1024	NUM
fcis-28761	127	16	.	.	PUNCT
fcis-28761	128	1	the	the	DET
fcis-28761	128	2	dataset	dataset	NOUN
fcis-28761	128	3	was	be	AUX
fcis-28761	128	4	divided	divide	VERB
fcis-28761	128	5	into	into	ADP
fcis-28761	128	6	4,980	4,980	NUM
fcis-28761	128	7	training	training	NOUN
fcis-28761	128	8	images	image	NOUN
fcis-28761	128	9	,	,	PUNCT
fcis-28761	128	10	996	996	NUM
fcis-28761	128	11	validation	validation	NOUN
fcis-28761	128	12	images	image	NOUN
fcis-28761	128	13	,	,	PUNCT
fcis-28761	128	14	and	and	CCONJ
fcis-28761	128	15	250	250	NUM
fcis-28761	128	16	test	test	NOUN
fcis-28761	128	17	images	image	NOUN
fcis-28761	128	18	for	for	ADP
fcis-28761	128	19	the	the	DET
fcis-28761	128	20	experiments	experiment	NOUN
fcis-28761	128	21	.	.	PUNCT
fcis-28761	129	1	this	this	DET
fcis-28761	129	2	dataset	dataset	NOUN
fcis-28761	129	3	is	be	AUX
fcis-28761	129	4	formulated	formulate	VERB
fcis-28761	129	5	as	as	ADP
fcis-28761	129	6	a	a	DET
fcis-28761	129	7	binary	binary	ADJ
fcis-28761	129	8	segmentation	segmentation	NOUN
fcis-28761	129	9	problem	problem	NOUN
fcis-28761	129	10	,	,	PUNCT
fcis-28761	129	11	where	where	SCONJ
fcis-28761	129	12	roads	road	NOUN
fcis-28761	129	13	are	be	AUX
fcis-28761	129	14	labeled	label	VERB
fcis-28761	129	15	as	as	SCONJ
fcis-28761	129	16	the	the	DET
fcis-28761	129	17	foreground	foreground	NOUN
fcis-28761	129	18	and	and	CCONJ
fcis-28761	129	19	other	other	ADJ
fcis-28761	129	20	objects	object	NOUN
fcis-28761	129	21	are	be	AUX
fcis-28761	129	22	labeled	label	VERB
fcis-28761	129	23	as	as	ADP
fcis-28761	129	24	the	the	DET
fcis-28761	129	25	background	background	NOUN
fcis-28761	129	26	.	.	PUNCT
fcis-28761	130	1	it	it	PRON
fcis-28761	130	2	is	be	AUX
fcis-28761	130	3	one	one	NUM
fcis-28761	130	4	of	of	ADP
fcis-28761	130	5	the	the	DET
fcis-28761	130	6	most	most	ADV
fcis-28761	130	7	widely	widely	ADV
fcis-28761	130	8	used	use	VERB
fcis-28761	130	9	datasets	dataset	NOUN
fcis-28761	130	10	for	for	ADP
fcis-28761	130	11	road	road	NOUN
fcis-28761	130	12	extraction	extraction	NOUN
fcis-28761	130	13	.	.	PUNCT
fcis-28761	131	1	3.3	3.3	NUM
fcis-28761	131	2	.	.	PUNCT
fcis-28761	132	1	method	method	ADJ
fcis-28761	132	2	comparison	comparison	NOUN
fcis-28761	132	3	in	in	ADP
fcis-28761	132	4	this	this	DET
fcis-28761	132	5	section	section	NOUN
fcis-28761	132	6	,	,	PUNCT
fcis-28761	132	7	the	the	DET
fcis-28761	132	8	road	road	NOUN
fcis-28761	132	9	segmentation	segmentation	NOUN
fcis-28761	132	10	performance	performance	NOUN
fcis-28761	132	11	of	of	ADP
fcis-28761	132	12	marenet	marenet	NOUN
fcis-28761	132	13	is	be	AUX
fcis-28761	132	14	quantitatively	quantitatively	ADV
fcis-28761	132	15	and	and	CCONJ
fcis-28761	132	16	qualitatively	qualitatively	ADV
fcis-28761	132	17	compared	compare	VERB
fcis-28761	132	18	with	with	ADP
fcis-28761	132	19	existing	exist	VERB
fcis-28761	132	20	methods	method	NOUN
fcis-28761	132	21	.	.	PUNCT
fcis-28761	133	1	the	the	DET
fcis-28761	133	2	performance	performance	NOUN
fcis-28761	133	3	is	be	AUX
fcis-28761	133	4	compared	compare	VERB
fcis-28761	133	5	against	against	ADP
fcis-28761	133	6	a2fpnet	a2fpnet	NOUN
fcis-28761	133	7	[	[	X
fcis-28761	133	8	16	16	NUM
fcis-28761	133	9	]	]	PUNCT
fcis-28761	133	10	,	,	PUNCT
fcis-28761	133	11	abcnet[17	abcnet[17	PROPN
fcis-28761	133	12	]	]	PUNCT
fcis-28761	133	13	,	,	PUNCT
fcis-28761	133	14	basnet[18	basnet[18	PROPN
fcis-28761	133	15	]	]	X
fcis-28761	133	16	,	,	PUNCT
fcis-28761	133	17	d	d	X
fcis-28761	133	18	-	-	PUNCT
fcis-28761	133	19	linknet[5	linknet[5	ADJ
fcis-28761	133	20	]	]	X
fcis-28761	133	21	,	,	PUNCT
fcis-28761	133	22	dsnet	dsnet	PROPN
fcis-28761	134	1	[	[	X
fcis-28761	134	2	19	19	NUM
fcis-28761	134	3	]	]	PUNCT
fcis-28761	134	4	,	,	PUNCT
fcis-28761	134	5	ffnet[20	ffnet[20	PROPN
fcis-28761	134	6	]	]	PUNCT
fcis-28761	134	7	,	,	PUNCT
fcis-28761	134	8	and	and	CCONJ
fcis-28761	134	9	unet	unet	NOUN
fcis-28761	134	10	-	-	PUNCT
fcis-28761	134	11	former[21	former[21	NOUN
fcis-28761	134	12	]	]	PUNCT
fcis-28761	134	13	.	.	PUNCT
fcis-28761	135	1	3.3.1	3.3.1	X
fcis-28761	135	2	.	.	PUNCT
fcis-28761	135	3	quantitative	quantitative	ADJ
fcis-28761	135	4	results	result	NOUN
fcis-28761	135	5	to	to	PART
fcis-28761	135	6	evaluate	evaluate	VERB
fcis-28761	135	7	the	the	DET
fcis-28761	135	8	performance	performance	NOUN
fcis-28761	135	9	of	of	ADP
fcis-28761	135	10	the	the	DET
fcis-28761	135	11	proposed	propose	VERB
fcis-28761	135	12	model	model	NOUN
fcis-28761	135	13	,	,	PUNCT
fcis-28761	135	14	the	the	DET
fcis-28761	135	15	experiment	experiment	NOUN
fcis-28761	135	16	adopted	adopt	VERB
fcis-28761	135	17	five	five	NUM
fcis-28761	135	18	key	key	ADJ
fcis-28761	135	19	evaluation	evaluation	NOUN
fcis-28761	135	20	metrics	metric	NOUN
fcis-28761	135	21	:	:	PUNCT
fcis-28761	135	22	accuracy	accuracy	NOUN
fcis-28761	135	23	,	,	PUNCT
fcis-28761	135	24	precision	precision	NOUN
fcis-28761	135	25	,	,	PUNCT
fcis-28761	135	26	recall	recall	NOUN
fcis-28761	135	27	,	,	PUNCT
fcis-28761	135	28	f1	f1	NOUN
fcis-28761	135	29	-	-	PUNCT
fcis-28761	135	30	score	score	NOUN
fcis-28761	135	31	,	,	PUNCT
fcis-28761	135	32	and	and	CCONJ
fcis-28761	135	33	intersection	intersection	NOUN
fcis-28761	135	34	over	over	ADP
fcis-28761	135	35	union	union	NOUN
fcis-28761	135	36	(	(	PUNCT
fcis-28761	135	37	iou	iou	PROPN
fcis-28761	135	38	)	)	PUNCT
fcis-28761	135	39	.	.	PUNCT
fcis-28761	136	1	accuracy	accuracy	NOUN
fcis-28761	136	2	measures	measure	VERB
fcis-28761	136	3	the	the	DET
fcis-28761	136	4	proportion	proportion	NOUN
fcis-28761	136	5	of	of	ADP
fcis-28761	136	6	pixels	pixel	NOUN
fcis-28761	136	7	in	in	ADP
fcis-28761	136	8	the	the	DET
fcis-28761	136	9	entire	entire	ADJ
fcis-28761	136	10	image	image	NOUN
fcis-28761	136	11	that	that	PRON
fcis-28761	136	12	are	be	AUX
fcis-28761	136	13	correctly	correctly	ADV
fcis-28761	136	14	classified	classify	VERB
fcis-28761	136	15	by	by	ADP
fcis-28761	136	16	the	the	DET
fcis-28761	136	17	model	model	NOUN
fcis-28761	136	18	.	.	PUNCT
fcis-28761	137	1	precision	precision	NOUN
fcis-28761	137	2	quantifies	quantifie	NOUN
fcis-28761	137	3	the	the	DET
fcis-28761	137	4	proportion	proportion	NOUN
fcis-28761	137	5	of	of	ADP
fcis-28761	137	6	false	false	ADJ
fcis-28761	137	7	positives	positive	NOUN
fcis-28761	137	8	in	in	ADP
fcis-28761	137	9	the	the	DET
fcis-28761	137	10	results	result	NOUN
fcis-28761	137	11	,	,	PUNCT
fcis-28761	137	12	while	while	SCONJ
fcis-28761	137	13	recall	recall	NOUN
fcis-28761	137	14	measures	measure	VERB
fcis-28761	137	15	the	the	DET
fcis-28761	137	16	proportion	proportion	NOUN
fcis-28761	137	17	of	of	ADP
fcis-28761	137	18	false	false	ADJ
fcis-28761	137	19	negatives	negative	NOUN
fcis-28761	137	20	.	.	PUNCT
fcis-28761	138	1	f1	f1	NOUN
fcis-28761	138	2	-	-	PUNCT
fcis-28761	138	3	score	score	NOUN
fcis-28761	138	4	is	be	AUX
fcis-28761	138	5	the	the	DET
fcis-28761	138	6	harmonic	harmonic	ADJ
fcis-28761	138	7	mean	mean	NOUN
fcis-28761	138	8	of	of	ADP
fcis-28761	138	9	precision	precision	NOUN
fcis-28761	138	10	and	and	CCONJ
fcis-28761	138	11	recall	recall	NOUN
fcis-28761	138	12	,	,	PUNCT
fcis-28761	138	13	balancing	balance	VERB
fcis-28761	138	14	the	the	DET
fcis-28761	138	15	trade	trade	NOUN
fcis-28761	138	16	-	-	PUNCT
fcis-28761	138	17	off	off	NOUN
fcis-28761	138	18	between	between	ADP
fcis-28761	138	19	the	the	DET
fcis-28761	138	20	two	two	NUM
fcis-28761	138	21	.	.	PUNCT
fcis-28761	139	1	additionally	additionally	ADV
fcis-28761	139	2	,	,	PUNCT
fcis-28761	139	3	iou	iou	NOUN
fcis-28761	139	4	measures	measure	VERB
fcis-28761	139	5	the	the	DET
fcis-28761	139	6	overlap	overlap	NOUN
fcis-28761	139	7	between	between	ADP
fcis-28761	139	8	the	the	DET
fcis-28761	139	9	segmentation	segmentation	NOUN
fcis-28761	139	10	results	result	NOUN
fcis-28761	139	11	and	and	CCONJ
fcis-28761	139	12	the	the	DET
fcis-28761	139	13	ground	ground	NOUN
fcis-28761	139	14	truth	truth	NOUN
fcis-28761	139	15	,	,	PUNCT
fcis-28761	139	16	making	make	VERB
fcis-28761	139	17	it	it	PRON
fcis-28761	139	18	one	one	NUM
fcis-28761	139	19	of	of	ADP
fcis-28761	139	20	the	the	DET
fcis-28761	139	21	core	core	NOUN
fcis-28761	139	22	metrics	metric	NOUN
fcis-28761	139	23	for	for	ADP
fcis-28761	139	24	evaluating	evaluate	VERB
fcis-28761	139	25	the	the	DET
fcis-28761	139	26	performance	performance	NOUN
fcis-28761	139	27	of	of	ADP
fcis-28761	139	28	semantic	semantic	ADJ
fcis-28761	139	29	segmentation	segmentation	NOUN
fcis-28761	139	30	models	model	NOUN
fcis-28761	139	31	.	.	PUNCT
fcis-28761	140	1	the	the	DET
fcis-28761	140	2	quantitative	quantitative	ADJ
fcis-28761	140	3	data	datum	NOUN
fcis-28761	140	4	is	be	AUX
fcis-28761	140	5	summarized	summarize	VERB
fcis-28761	140	6	in	in	ADP
fcis-28761	140	7	table	table	NOUN
fcis-28761	140	8	1	1	NUM
fcis-28761	140	9	.	.	PUNCT
fcis-28761	140	10	table	table	NOUN
fcis-28761	140	11	1	1	NUM
fcis-28761	140	12	.	.	PUNCT
fcis-28761	140	13	comparison	comparison	NOUN
fcis-28761	140	14	results	result	NOUN
fcis-28761	140	15	between	between	ADP
fcis-28761	140	16	marenet	marenet	NOUN
fcis-28761	140	17	and	and	CCONJ
fcis-28761	140	18	other	other	ADJ
fcis-28761	140	19	methods	method	NOUN
fcis-28761	140	20	method	method	NOUN
fcis-28761	140	21	accuracy	accuracy	NOUN
fcis-28761	140	22	precision	precision	NOUN
fcis-28761	140	23	recall	recall	VERB
fcis-28761	140	24	f1	f1	NOUN
fcis-28761	140	25	-	-	PUNCT
fcis-28761	140	26	score	score	NOUN
fcis-28761	140	27	iou	iou	NOUN
fcis-28761	140	28	a2fpnet[16	a2fpnet[16	PROPN
fcis-28761	140	29	]	]	X
fcis-28761	141	1	98.01	98.01	NUM
fcis-28761	141	2	75.77	75.77	NUM
fcis-28761	141	3	76.01	76.01	NUM
fcis-28761	141	4	75.89	75.89	NUM
fcis-28761	141	5	61.05	61.05	NUM
fcis-28761	141	6	abcnet[17	abcnet[17	NOUN
fcis-28761	141	7	]	]	X
fcis-28761	141	8	98.02	98.02	NUM
fcis-28761	141	9	76.94	76.94	NUM
fcis-28761	141	10	74.20	74.20	NUM
fcis-28761	141	11	75.55	75.55	NUM
fcis-28761	141	12	60.55	60.55	NUM
fcis-28761	141	13	basnet[18	basnet[18	NOUN
fcis-28761	141	14	]	]	X
fcis-28761	141	15	98.37	98.37	NUM
fcis-28761	142	1	80.36	80.36	NUM
fcis-28761	142	2	78.78	78.78	NUM
fcis-28761	142	3	79.56	79.56	NUM
fcis-28761	142	4	66.05	66.05	NUM
fcis-28761	142	5	d	d	X
fcis-28761	142	6	-	-	PUNCT
fcis-28761	142	7	linknet[5	linknet[5	NOUN
fcis-28761	142	8	]	]	X
fcis-28761	142	9	98.16	98.16	NUM
fcis-28761	142	10	77.89	77.89	NUM
fcis-28761	142	11	75.98	75.98	NUM
fcis-28761	142	12	76.92	76.92	NUM
fcis-28761	142	13	62.37	62.37	NUM
fcis-28761	142	14	dsnet[19	dsnet[19	NOUN
fcis-28761	142	15	]	]	X
fcis-28761	142	16	98.16	98.16	NUM
fcis-28761	142	17	77.36	77.36	NUM
fcis-28761	142	18	77.46	77.46	NUM
fcis-28761	142	19	77.41	77.41	NUM
fcis-28761	142	20	63.02	63.02	NUM
fcis-28761	142	21	ffnet[20	ffnet[20	NOUN
fcis-28761	142	22	]	]	X
fcis-28761	142	23	98.04	98.04	NUM
fcis-28761	142	24	75.92	75.92	NUM
fcis-28761	142	25	75.68	75.68	NUM
fcis-28761	142	26	75.79	75.79	NUM
fcis-28761	142	27	60.89	60.89	NUM
fcis-28761	142	28	unetformer[21	unetformer[21	PROPN
fcis-28761	142	29	]	]	PUNCT
fcis-28761	142	30	97.97	97.97	NUM
fcis-28761	142	31	73.51	73.51	NUM
fcis-28761	142	32	78.14	78.14	NUM
fcis-28761	142	33	75.75	75.75	NUM
fcis-28761	142	34	60.95	60.95	NUM
fcis-28761	142	35	marenet	marenet	NOUN
fcis-28761	142	36	98.46	98.46	NUM
fcis-28761	142	37	81.84	81.84	NUM
fcis-28761	142	38	81.66	81.66	NUM
fcis-28761	142	39	81.75	81.75	NUM
fcis-28761	142	40	69.10	69.10	NUM
fcis-28761	142	41	from	from	ADP
fcis-28761	142	42	table	table	NOUN
fcis-28761	142	43	1	1	NUM
fcis-28761	142	44	,	,	PUNCT
fcis-28761	142	45	it	it	PRON
fcis-28761	142	46	can	can	AUX
fcis-28761	142	47	be	be	AUX
fcis-28761	142	48	seen	see	VERB
fcis-28761	142	49	that	that	SCONJ
fcis-28761	142	50	marenet	marenet	NOUN
fcis-28761	142	51	achieves	achieve	VERB
fcis-28761	142	52	optimal	optimal	ADJ
fcis-28761	142	53	results	result	NOUN
fcis-28761	142	54	in	in	ADP
fcis-28761	142	55	terms	term	NOUN
fcis-28761	142	56	of	of	ADP
fcis-28761	142	57	precision	precision	NOUN
fcis-28761	142	58	,	,	PUNCT
fcis-28761	142	59	accuracy	accuracy	NOUN
fcis-28761	142	60	,	,	PUNCT
fcis-28761	142	61	recall	recall	NOUN
fcis-28761	142	62	,	,	PUNCT
fcis-28761	142	63	f1score	f1score	NOUN
fcis-28761	142	64	,	,	PUNCT
fcis-28761	142	65	and	and	CCONJ
fcis-28761	142	66	iou	iou	VERB
fcis-28761	142	67	on	on	ADP
fcis-28761	142	68	the	the	DET
fcis-28761	142	69	deepglobe	deepglobe	NOUN
fcis-28761	142	70	dataset	dataset	NOUN
fcis-28761	142	71	.	.	PUNCT
fcis-28761	143	1	these	these	DET
fcis-28761	143	2	quantitative	quantitative	ADJ
fcis-28761	143	3	results	result	NOUN
fcis-28761	143	4	confirm	confirm	VERB
fcis-28761	143	5	that	that	SCONJ
fcis-28761	143	6	marenet	marenet	NOUN
fcis-28761	143	7	is	be	AUX
fcis-28761	143	8	capable	capable	ADJ
fcis-28761	143	9	of	of	ADP
fcis-28761	143	10	capturing	capture	VERB
fcis-28761	143	11	precise	precise	ADJ
fcis-28761	143	12	road	road	NOUN
fcis-28761	143	13	information	information	NOUN
fcis-28761	143	14	,	,	PUNCT
fcis-28761	143	15	enabling	enable	VERB
fcis-28761	143	16	accurate	accurate	ADJ
fcis-28761	143	17	road	road	NOUN
fcis-28761	143	18	extraction	extraction	NOUN
fcis-28761	143	19	from	from	ADP
fcis-28761	143	20	remote	remote	ADJ
fcis-28761	143	21	sensing	sensing	NOUN
fcis-28761	143	22	images	image	NOUN
fcis-28761	143	23	.	.	PUNCT
fcis-28761	144	1	3.3.2	3.3.2	X
fcis-28761	144	2	.	.	PUNCT
fcis-28761	144	3	qualitative	qualitative	ADJ
fcis-28761	144	4	results	result	NOUN
fcis-28761	144	5	for	for	ADP
fcis-28761	144	6	qualitative	qualitative	ADJ
fcis-28761	144	7	analysis	analysis	NOUN
fcis-28761	144	8	,	,	PUNCT
fcis-28761	144	9	the	the	DET
fcis-28761	144	10	study	study	NOUN
fcis-28761	144	11	employed	employ	VERB
fcis-28761	144	12	recently	recently	ADV
fcis-28761	144	13	proposed	propose	VERB
fcis-28761	144	14	networks	network	NOUN
fcis-28761	144	15	for	for	ADP
fcis-28761	144	16	model	model	NOUN
fcis-28761	144	17	training	training	NOUN
fcis-28761	144	18	and	and	CCONJ
fcis-28761	144	19	selected	select	VERB
fcis-28761	144	20	various	various	ADJ
fcis-28761	144	21	types	type	NOUN
fcis-28761	144	22	of	of	ADP
fcis-28761	144	23	images	image	NOUN
fcis-28761	144	24	from	from	ADP
fcis-28761	144	25	the	the	DET
fcis-28761	144	26	deepglobe	deepglobe	NOUN
fcis-28761	144	27	dataset	dataset	NOUN
fcis-28761	144	28	for	for	ADP
fcis-28761	144	29	segmentation	segmentation	NOUN
fcis-28761	144	30	result	result	NOUN
fcis-28761	144	31	comparisons	comparison	NOUN
fcis-28761	144	32	.	.	PUNCT
fcis-28761	145	1	these	these	DET
fcis-28761	145	2	images	image	NOUN
fcis-28761	145	3	were	be	AUX
fcis-28761	145	4	categorized	categorize	VERB
fcis-28761	145	5	into	into	ADP
fcis-28761	145	6	two	two	NUM
fcis-28761	145	7	groups	group	NOUN
fcis-28761	145	8	based	base	VERB
fcis-28761	145	9	on	on	ADP
fcis-28761	145	10	occlusion	occlusion	NOUN
fcis-28761	145	11	conditions	condition	NOUN
fcis-28761	145	12	and	and	CCONJ
fcis-28761	145	13	other	other	ADJ
fcis-28761	145	14	complex	complex	ADJ
fcis-28761	145	15	road	road	NOUN
fcis-28761	145	16	scenarios	scenario	NOUN
fcis-28761	145	17	to	to	PART
fcis-28761	145	18	facilitate	facilitate	VERB
fcis-28761	145	19	comparison	comparison	NOUN
fcis-28761	145	20	105	105	NUM
fcis-28761	145	21	of	of	ADP
fcis-28761	145	22	the	the	DET
fcis-28761	145	23	segmentation	segmentation	NOUN
fcis-28761	145	24	results	result	NOUN
fcis-28761	145	25	.	.	PUNCT
fcis-28761	146	1	fig	fig	NOUN
fcis-28761	146	2	4	4	NUM
fcis-28761	146	3	.	.	PUNCT
fcis-28761	146	4	comparison	comparison	NOUN
fcis-28761	146	5	of	of	ADP
fcis-28761	146	6	road	road	NOUN
fcis-28761	146	7	extraction	extraction	NOUN
fcis-28761	146	8	effects	effect	NOUN
fcis-28761	146	9	when	when	SCONJ
fcis-28761	146	10	the	the	DET
fcis-28761	146	11	road	road	NOUN
fcis-28761	146	12	is	be	AUX
fcis-28761	146	13	occluded	occlude	VERB
fcis-28761	146	14	from	from	ADP
fcis-28761	146	15	figure	figure	NOUN
fcis-28761	146	16	4	4	NUM
fcis-28761	146	17	,	,	PUNCT
fcis-28761	146	18	in	in	ADP
fcis-28761	146	19	groups	group	NOUN
fcis-28761	146	20	a	a	DET
fcis-28761	146	21	,	,	PUNCT
fcis-28761	146	22	b	b	NOUN
fcis-28761	146	23	,	,	PUNCT
fcis-28761	146	24	and	and	CCONJ
fcis-28761	146	25	c	c	X
fcis-28761	146	26	,	,	PUNCT
fcis-28761	146	27	it	it	PRON
fcis-28761	146	28	can	can	AUX
fcis-28761	146	29	be	be	AUX
fcis-28761	146	30	observed	observe	VERB
fcis-28761	146	31	that	that	SCONJ
fcis-28761	146	32	marenet	marenet	NOUN
fcis-28761	146	33	outperforms	outperform	VERB
fcis-28761	146	34	other	other	ADJ
fcis-28761	146	35	methods	method	NOUN
fcis-28761	146	36	in	in	ADP
fcis-28761	146	37	road	road	NOUN
fcis-28761	146	38	extraction	extraction	NOUN
fcis-28761	146	39	under	under	ADP
fcis-28761	146	40	conditions	condition	NOUN
fcis-28761	146	41	where	where	SCONJ
fcis-28761	146	42	roads	road	NOUN
fcis-28761	146	43	are	be	AUX
fcis-28761	146	44	occluded	occlude	VERB
fcis-28761	146	45	.	.	PUNCT
fcis-28761	147	1	it	it	PRON
fcis-28761	147	2	demonstrates	demonstrate	VERB
fcis-28761	147	3	superior	superior	ADJ
fcis-28761	147	4	detail	detail	NOUN
fcis-28761	147	5	preservation	preservation	NOUN
fcis-28761	147	6	and	and	CCONJ
fcis-28761	147	7	continuity	continuity	NOUN
fcis-28761	147	8	in	in	ADP
fcis-28761	147	9	road	road	NOUN
fcis-28761	147	10	extraction	extraction	NOUN
fcis-28761	147	11	.	.	PUNCT
fcis-28761	148	1	when	when	SCONJ
fcis-28761	148	2	roads	road	NOUN
fcis-28761	148	3	are	be	AUX
fcis-28761	148	4	occluded	occlude	VERB
fcis-28761	148	5	by	by	ADP
fcis-28761	148	6	trees	tree	NOUN
fcis-28761	148	7	and	and	CCONJ
fcis-28761	148	8	buildings	building	NOUN
fcis-28761	148	9	,	,	PUNCT
fcis-28761	148	10	marenet	marenet	NOUN
fcis-28761	148	11	leverages	leverage	NOUN
fcis-28761	148	12	global	global	ADJ
fcis-28761	148	13	contextual	contextual	ADJ
fcis-28761	148	14	information	information	NOUN
fcis-28761	148	15	to	to	PART
fcis-28761	148	16	infer	infer	VERB
fcis-28761	148	17	road	road	NOUN
fcis-28761	148	18	conditions	condition	NOUN
fcis-28761	148	19	,	,	PUNCT
fcis-28761	148	20	ensuring	ensure	VERB
fcis-28761	148	21	continuity	continuity	NOUN
fcis-28761	148	22	in	in	ADP
fcis-28761	148	23	road	road	NOUN
fcis-28761	148	24	extraction	extraction	NOUN
fcis-28761	148	25	.	.	PUNCT
fcis-28761	149	1	this	this	DET
fcis-28761	149	2	set	set	NOUN
fcis-28761	149	3	of	of	ADP
fcis-28761	149	4	comparative	comparative	ADJ
fcis-28761	149	5	experiments	experiment	NOUN
fcis-28761	149	6	highlights	highlight	NOUN
fcis-28761	149	7	that	that	PRON
fcis-28761	149	8	marenet	marenet	NOUN
fcis-28761	149	9	effectively	effectively	ADV
fcis-28761	149	10	addresses	address	VERB
fcis-28761	149	11	the	the	DET
fcis-28761	149	12	issue	issue	NOUN
fcis-28761	149	13	of	of	ADP
fcis-28761	149	14	continuity	continuity	NOUN
fcis-28761	149	15	caused	cause	VERB
fcis-28761	149	16	by	by	ADP
fcis-28761	149	17	occlusions	occlusion	NOUN
fcis-28761	149	18	from	from	ADP
fcis-28761	149	19	trees	tree	NOUN
fcis-28761	149	20	and	and	CCONJ
fcis-28761	149	21	buildings	building	NOUN
fcis-28761	149	22	,	,	PUNCT
fcis-28761	149	23	showcasing	showcase	VERB
fcis-28761	149	24	its	its	PRON
fcis-28761	149	25	robustness	robustness	NOUN
fcis-28761	149	26	in	in	ADP
fcis-28761	149	27	handling	handle	VERB
fcis-28761	149	28	such	such	ADJ
fcis-28761	149	29	challenges	challenge	NOUN
fcis-28761	149	30	.	.	PUNCT
fcis-28761	150	1	fig	fig	NOUN
fcis-28761	150	2	5	5	NUM
fcis-28761	150	3	.	.	PUNCT
fcis-28761	150	4	comparison	comparison	NOUN
fcis-28761	150	5	of	of	ADP
fcis-28761	150	6	the	the	DET
fcis-28761	150	7	extraction	extraction	NOUN
fcis-28761	150	8	effect	effect	NOUN
fcis-28761	150	9	of	of	ADP
fcis-28761	150	10	roads	road	NOUN
fcis-28761	150	11	with	with	ADP
fcis-28761	150	12	different	different	ADJ
fcis-28761	150	13	directions	direction	NOUN
fcis-28761	150	14	and	and	CCONJ
fcis-28761	150	15	widths	width	NOUN
fcis-28761	150	16	from	from	ADP
fcis-28761	150	17	figure	figure	NOUN
fcis-28761	150	18	5	5	NUM
fcis-28761	150	19	,	,	PUNCT
fcis-28761	150	20	it	it	PRON
fcis-28761	150	21	is	be	AUX
fcis-28761	150	22	evident	evident	ADJ
fcis-28761	150	23	that	that	SCONJ
fcis-28761	150	24	the	the	DET
fcis-28761	150	25	complexity	complexity	NOUN
fcis-28761	150	26	of	of	ADP
fcis-28761	150	27	the	the	DET
fcis-28761	150	28	roads	road	NOUN
fcis-28761	150	29	is	be	AUX
fcis-28761	150	30	high	high	ADJ
fcis-28761	150	31	.	.	PUNCT
fcis-28761	151	1	in	in	ADP
fcis-28761	151	2	groups	group	NOUN
fcis-28761	151	3	a	a	DET
fcis-28761	151	4	,	,	PUNCT
fcis-28761	151	5	b	b	NOUN
fcis-28761	151	6	,	,	PUNCT
fcis-28761	151	7	and	and	CCONJ
fcis-28761	151	8	c	c	X
fcis-28761	151	9	,	,	PUNCT
fcis-28761	151	10	there	there	PRON
fcis-28761	151	11	are	be	VERB
fcis-28761	151	12	cases	case	NOUN
fcis-28761	151	13	where	where	SCONJ
fcis-28761	151	14	roads	road	NOUN
fcis-28761	151	15	differ	differ	VERB
fcis-28761	151	16	in	in	ADP
fcis-28761	151	17	orientation	orientation	NOUN
fcis-28761	151	18	and	and	CCONJ
fcis-28761	151	19	width	width	VERB
fcis-28761	151	20	,	,	PUNCT
fcis-28761	151	21	as	as	ADV
fcis-28761	151	22	well	well	ADV
fcis-28761	151	23	as	as	ADP
fcis-28761	151	24	situations	situation	NOUN
fcis-28761	151	25	with	with	ADP
fcis-28761	151	26	frequent	frequent	ADJ
fcis-28761	151	27	road	road	NOUN
fcis-28761	151	28	intersections	intersection	NOUN
fcis-28761	151	29	,	,	PUNCT
fcis-28761	151	30	which	which	PRON
fcis-28761	151	31	place	place	VERB
fcis-28761	151	32	high	high	ADJ
fcis-28761	151	33	demands	demand	NOUN
fcis-28761	151	34	on	on	ADP
fcis-28761	151	35	road	road	NOUN
fcis-28761	151	36	extraction	extraction	NOUN
fcis-28761	151	37	networks	network	NOUN
fcis-28761	151	38	.	.	PUNCT
fcis-28761	152	1	comparing	compare	VERB
fcis-28761	152	2	the	the	DET
fcis-28761	152	3	results	result	NOUN
fcis-28761	152	4	from	from	ADP
fcis-28761	152	5	groups	group	NOUN
fcis-28761	152	6	a	a	PRON
fcis-28761	152	7	,	,	PUNCT
fcis-28761	152	8	b	b	NOUN
fcis-28761	152	9	,	,	PUNCT
fcis-28761	152	10	and	and	CCONJ
fcis-28761	152	11	c	c	X
fcis-28761	152	12	,	,	PUNCT
fcis-28761	152	13	it	it	PRON
fcis-28761	152	14	can	can	AUX
fcis-28761	152	15	be	be	AUX
fcis-28761	152	16	observed	observe	VERB
fcis-28761	152	17	that	that	SCONJ
fcis-28761	152	18	the	the	DET
fcis-28761	152	19	road	road	NOUN
fcis-28761	152	20	extraction	extraction	NOUN
fcis-28761	152	21	results	result	NOUN
fcis-28761	152	22	of	of	ADP
fcis-28761	152	23	marenet	marenet	NOUN
fcis-28761	152	24	are	be	AUX
fcis-28761	152	25	very	very	ADV
fcis-28761	152	26	similar	similar	ADJ
fcis-28761	152	27	to	to	ADP
fcis-28761	152	28	the	the	DET
fcis-28761	152	29	ground	ground	NOUN
fcis-28761	152	30	truth	truth	NOUN
fcis-28761	152	31	(	(	PUNCT
fcis-28761	152	32	gt	gt	PROPN
fcis-28761	152	33	)	)	PUNCT
fcis-28761	152	34	.	.	PUNCT
fcis-28761	153	1	the	the	DET
fcis-28761	153	2	road	road	NOUN
fcis-28761	153	3	extraction	extraction	NOUN
fcis-28761	153	4	performance	performance	NOUN
fcis-28761	153	5	of	of	ADP
fcis-28761	153	6	marenet	marenet	NOUN
fcis-28761	153	7	outperforms	outperform	NOUN
fcis-28761	153	8	other	other	ADJ
fcis-28761	153	9	methods	method	NOUN
fcis-28761	153	10	,	,	PUNCT
fcis-28761	153	11	and	and	CCONJ
fcis-28761	153	12	its	its	PRON
fcis-28761	153	13	advantages	advantage	NOUN
fcis-28761	153	14	are	be	AUX
fcis-28761	153	15	visually	visually	ADV
fcis-28761	153	16	apparent	apparent	ADJ
fcis-28761	153	17	in	in	ADP
fcis-28761	153	18	the	the	DET
fcis-28761	153	19	figure	figure	NOUN
fcis-28761	153	20	.	.	PUNCT
fcis-28761	154	1	the	the	DET
fcis-28761	154	2	comparison	comparison	NOUN
fcis-28761	154	3	of	of	ADP
fcis-28761	154	4	road	road	NOUN
fcis-28761	154	5	extraction	extraction	NOUN
fcis-28761	154	6	results	result	NOUN
fcis-28761	154	7	demonstrates	demonstrate	VERB
fcis-28761	154	8	that	that	SCONJ
fcis-28761	154	9	marenet	marenet	NOUN
fcis-28761	154	10	performs	perform	VERB
fcis-28761	154	11	well	well	ADV
fcis-28761	154	12	in	in	ADP
fcis-28761	154	13	handling	handle	VERB
fcis-28761	154	14	complex	complex	ADJ
fcis-28761	154	15	road	road	NOUN
fcis-28761	154	16	scenarios	scenario	NOUN
fcis-28761	154	17	,	,	PUNCT
fcis-28761	154	18	adapting	adapt	VERB
fcis-28761	154	19	to	to	ADP
fcis-28761	154	20	different	different	ADJ
fcis-28761	154	21	road	road	NOUN
fcis-28761	154	22	conditions	condition	NOUN
fcis-28761	154	23	,	,	PUNCT
fcis-28761	154	24	and	and	CCONJ
fcis-28761	154	25	addressing	address	VERB
fcis-28761	154	26	challenges	challenge	NOUN
fcis-28761	154	27	caused	cause	VERB
fcis-28761	154	28	by	by	ADP
fcis-28761	154	29	varying	vary	VERB
fcis-28761	154	30	road	road	NOUN
fcis-28761	154	31	orientations	orientation	NOUN
fcis-28761	154	32	and	and	CCONJ
fcis-28761	154	33	widths	width	NOUN
fcis-28761	154	34	.	.	PUNCT
fcis-28761	155	1	3.4	3.4	NUM
fcis-28761	155	2	.	.	PUNCT
fcis-28761	155	3	ablation	ablation	NOUN
fcis-28761	155	4	study	study	NOUN
fcis-28761	155	5	an	an	DET
fcis-28761	155	6	ablation	ablation	NOUN
fcis-28761	155	7	study	study	NOUN
fcis-28761	155	8	was	be	AUX
fcis-28761	155	9	conducted	conduct	VERB
fcis-28761	155	10	to	to	PART
fcis-28761	155	11	demonstrate	demonstrate	VERB
fcis-28761	155	12	the	the	DET
fcis-28761	155	13	impact	impact	NOUN
fcis-28761	155	14	of	of	ADP
fcis-28761	155	15	the	the	DET
fcis-28761	155	16	fat	fat	NOUN
fcis-28761	155	17	module	module	NOUN
fcis-28761	155	18	and	and	CCONJ
fcis-28761	155	19	apc	apc	PROPN
fcis-28761	155	20	module	module	NOUN
fcis-28761	155	21	on	on	ADP
fcis-28761	155	22	road	road	NOUN
fcis-28761	155	23	segmentation	segmentation	NOUN
fcis-28761	155	24	.	.	PUNCT
fcis-28761	156	1	as	as	SCONJ
fcis-28761	156	2	shown	show	VERB
fcis-28761	156	3	in	in	ADP
fcis-28761	156	4	table	table	NOUN
fcis-28761	156	5	2	2	NUM
fcis-28761	156	6	,	,	PUNCT
fcis-28761	156	7	combining	combine	VERB
fcis-28761	156	8	the	the	DET
fcis-28761	156	9	fat	fat	NOUN
fcis-28761	156	10	and	and	CCONJ
fcis-28761	156	11	apc	apc	PROPN
fcis-28761	156	12	modules	module	NOUN
fcis-28761	156	13	individually	individually	ADV
fcis-28761	156	14	with	with	ADP
fcis-28761	156	15	the	the	DET
fcis-28761	156	16	convnext	convnext	ADJ
fcis-28761	156	17	backbone	backbone	NOUN
fcis-28761	156	18	significantly	significantly	ADV
fcis-28761	156	19	improves	improve	VERB
fcis-28761	156	20	road	road	NOUN
fcis-28761	156	21	extraction	extraction	NOUN
fcis-28761	156	22	performance	performance	NOUN
fcis-28761	156	23	.	.	PUNCT
fcis-28761	157	1	furthermore	furthermore	ADV
fcis-28761	157	2	,	,	PUNCT
fcis-28761	157	3	integrating	integrate	VERB
fcis-28761	157	4	both	both	CCONJ
fcis-28761	157	5	fat	fat	ADJ
fcis-28761	157	6	and	and	CCONJ
fcis-28761	157	7	apc	apc	PROPN
fcis-28761	157	8	modules	module	NOUN
fcis-28761	157	9	into	into	ADP
fcis-28761	157	10	the	the	DET
fcis-28761	157	11	network	network	NOUN
fcis-28761	157	12	results	result	NOUN
fcis-28761	157	13	in	in	ADP
fcis-28761	157	14	superior	superior	ADJ
fcis-28761	157	15	performance	performance	NOUN
fcis-28761	157	16	compared	compare	VERB
fcis-28761	157	17	to	to	ADP
fcis-28761	157	18	using	use	VERB
fcis-28761	157	19	a	a	DET
fcis-28761	157	20	single	single	ADJ
fcis-28761	157	21	module	module	NOUN
fcis-28761	157	22	.	.	PUNCT
fcis-28761	158	1	in	in	ADP
fcis-28761	158	2	terms	term	NOUN
fcis-28761	158	3	of	of	ADP
fcis-28761	158	4	global	global	ADJ
fcis-28761	158	5	context	context	NOUN
fcis-28761	158	6	processing	processing	NOUN
fcis-28761	158	7	,	,	PUNCT
fcis-28761	158	8	the	the	DET
fcis-28761	158	9	fat	fat	NOUN
fcis-28761	158	10	module	module	NOUN
fcis-28761	158	11	demonstrates	demonstrate	VERB
fcis-28761	158	12	strong	strong	ADJ
fcis-28761	158	13	global	global	ADJ
fcis-28761	158	14	feature	feature	NOUN
fcis-28761	158	15	extraction	extraction	NOUN
fcis-28761	158	16	capabilities	capability	NOUN
fcis-28761	158	17	,	,	PUNCT
fcis-28761	158	18	which	which	PRON
fcis-28761	158	19	benefit	benefit	VERB
fcis-28761	158	20	road	road	NOUN
fcis-28761	158	21	segmentation	segmentation	NOUN
fcis-28761	158	22	continuity	continuity	NOUN
fcis-28761	158	23	.	.	PUNCT
fcis-28761	159	1	in	in	ADP
fcis-28761	159	2	terms	term	NOUN
fcis-28761	159	3	of	of	ADP
fcis-28761	159	4	local	local	ADJ
fcis-28761	159	5	details	detail	NOUN
fcis-28761	159	6	,	,	PUNCT
fcis-28761	159	7	the	the	DET
fcis-28761	159	8	apc	apc	PROPN
fcis-28761	159	9	module	module	NOUN
fcis-28761	159	10	excels	excel	NOUN
fcis-28761	159	11	at	at	ADP
fcis-28761	159	12	extracting	extract	VERB
fcis-28761	159	13	fine	fine	ADV
fcis-28761	159	14	-	-	PUNCT
fcis-28761	159	15	grained	grain	VERB
fcis-28761	159	16	features	feature	NOUN
fcis-28761	159	17	,	,	PUNCT
fcis-28761	159	18	effectively	effectively	ADV
fcis-28761	159	19	distinguishing	distinguish	VERB
fcis-28761	159	20	road	road	NOUN
fcis-28761	159	21	boundary	boundary	ADJ
fcis-28761	159	22	information	information	NOUN
fcis-28761	159	23	and	and	CCONJ
fcis-28761	159	24	handling	handle	VERB
fcis-28761	159	25	roads	road	NOUN
fcis-28761	159	26	with	with	ADP
fcis-28761	159	27	different	different	ADJ
fcis-28761	159	28	orientations	orientation	NOUN
fcis-28761	159	29	.	.	PUNCT
fcis-28761	160	1	the	the	DET
fcis-28761	160	2	experimental	experimental	ADJ
fcis-28761	160	3	results	result	NOUN
fcis-28761	160	4	confirm	confirm	VERB
fcis-28761	160	5	that	that	SCONJ
fcis-28761	160	6	the	the	DET
fcis-28761	160	7	proposed	propose	VERB
fcis-28761	160	8	marenet	marenet	NOUN
fcis-28761	160	9	has	have	VERB
fcis-28761	160	10	the	the	DET
fcis-28761	160	11	ability	ability	NOUN
fcis-28761	160	12	to	to	PART
fcis-28761	160	13	extract	extract	VERB
fcis-28761	160	14	both	both	DET
fcis-28761	160	15	local	local	ADJ
fcis-28761	160	16	features	feature	NOUN
fcis-28761	160	17	and	and	CCONJ
fcis-28761	160	18	global	global	ADJ
fcis-28761	160	19	contextual	contextual	ADJ
fcis-28761	160	20	features	feature	NOUN
fcis-28761	160	21	,	,	PUNCT
fcis-28761	160	22	leading	lead	VERB
fcis-28761	160	23	to	to	ADP
fcis-28761	160	24	significantly	significantly	ADV
fcis-28761	160	25	improved	improve	VERB
fcis-28761	160	26	segmentation	segmentation	NOUN
fcis-28761	160	27	performance	performance	NOUN
fcis-28761	160	28	.	.	PUNCT
fcis-28761	161	1	table	table	NOUN
fcis-28761	161	2	2	2	NUM
fcis-28761	161	3	.	.	PUNCT
fcis-28761	161	4	ablation	ablation	NOUN
fcis-28761	161	5	experiments	experiment	NOUN
fcis-28761	161	6	method	method	VERB
fcis-28761	161	7	f1	f1	PROPN
fcis-28761	161	8	iou	iou	PROPN
fcis-28761	161	9	convnext	convnext	PROPN
fcis-28761	161	10	only	only	ADV
fcis-28761	161	11	80.45	80.45	NUM
fcis-28761	161	12	67.17	67.17	NUM
fcis-28761	161	13	convnext	convnext	NOUN
fcis-28761	161	14	+	+	CCONJ
fcis-28761	161	15	fat	fat	ADJ
fcis-28761	161	16	81.49	81.49	NUM
fcis-28761	161	17	68.64	68.64	NUM
fcis-28761	161	18	convnext	convnext	NOUN
fcis-28761	161	19	+	+	CCONJ
fcis-28761	161	20	apc	apc	PROPN
fcis-28761	161	21	81.56	81.56	NUM
fcis-28761	161	22	68.78	68.78	NUM
fcis-28761	161	23	convnext	convnext	NOUN
fcis-28761	161	24	+	+	CCONJ
fcis-28761	161	25	fat	fat	ADJ
fcis-28761	161	26	apc	apc	PROPN
fcis-28761	161	27	81.75	81.75	NUM
fcis-28761	161	28	69.10	69.10	NUM
fcis-28761	161	29	4	4	NUM
fcis-28761	161	30	.	.	PUNCT
fcis-28761	161	31	conclusion	conclusion	NOUN
fcis-28761	161	32	in	in	ADP
fcis-28761	161	33	this	this	DET
fcis-28761	161	34	paper	paper	NOUN
fcis-28761	161	35	,	,	PUNCT
fcis-28761	161	36	a	a	DET
fcis-28761	161	37	novel	novel	ADJ
fcis-28761	161	38	marenet	marenet	NOUN
fcis-28761	161	39	is	be	AUX
fcis-28761	161	40	proposed	propose	VERB
fcis-28761	161	41	to	to	PART
fcis-28761	161	42	address	address	VERB
fcis-28761	161	43	the	the	DET
fcis-28761	161	44	106	106	NUM
fcis-28761	161	45	complex	complex	ADJ
fcis-28761	161	46	challenges	challenge	NOUN
fcis-28761	161	47	in	in	ADP
fcis-28761	161	48	road	road	NOUN
fcis-28761	161	49	extraction	extraction	NOUN
fcis-28761	161	50	tasks	task	NOUN
fcis-28761	161	51	.	.	PUNCT
fcis-28761	162	1	the	the	DET
fcis-28761	162	2	architecture	architecture	NOUN
fcis-28761	162	3	employs	employ	VERB
fcis-28761	162	4	convnext	convnext	NOUN
fcis-28761	162	5	as	as	ADP
fcis-28761	162	6	the	the	DET
fcis-28761	162	7	backbone	backbone	NOUN
fcis-28761	162	8	for	for	ADP
fcis-28761	162	9	feature	feature	NOUN
fcis-28761	162	10	extraction	extraction	NOUN
fcis-28761	162	11	,	,	PUNCT
fcis-28761	162	12	enabling	enable	VERB
fcis-28761	162	13	efficient	efficient	ADJ
fcis-28761	162	14	capture	capture	NOUN
fcis-28761	162	15	of	of	ADP
fcis-28761	162	16	both	both	CCONJ
fcis-28761	162	17	local	local	ADJ
fcis-28761	162	18	and	and	CCONJ
fcis-28761	162	19	global	global	ADJ
fcis-28761	162	20	information	information	NOUN
fcis-28761	162	21	in	in	ADP
fcis-28761	162	22	images	image	NOUN
fcis-28761	162	23	,	,	PUNCT
fcis-28761	162	24	thereby	thereby	ADV
fcis-28761	162	25	providing	provide	VERB
fcis-28761	162	26	a	a	DET
fcis-28761	162	27	strong	strong	ADJ
fcis-28761	162	28	foundation	foundation	NOUN
fcis-28761	162	29	for	for	ADP
fcis-28761	162	30	subsequent	subsequent	ADJ
fcis-28761	162	31	modules	module	NOUN
fcis-28761	162	32	.	.	PUNCT
fcis-28761	163	1	to	to	PART
fcis-28761	163	2	enhance	enhance	VERB
fcis-28761	163	3	the	the	DET
fcis-28761	163	4	model	model	NOUN
fcis-28761	163	5	's	's	PART
fcis-28761	163	6	performance	performance	NOUN
fcis-28761	163	7	,	,	PUNCT
fcis-28761	163	8	two	two	NUM
fcis-28761	163	9	key	key	ADJ
fcis-28761	163	10	modules	module	NOUN
fcis-28761	163	11	were	be	AUX
fcis-28761	163	12	designed	design	VERB
fcis-28761	163	13	:	:	PUNCT
fcis-28761	163	14	the	the	DET
fcis-28761	163	15	apc	apc	PROPN
fcis-28761	163	16	and	and	CCONJ
fcis-28761	163	17	fat	fat	ADJ
fcis-28761	163	18	modules	module	NOUN
fcis-28761	163	19	.	.	PUNCT
fcis-28761	164	1	the	the	DET
fcis-28761	164	2	apc	apc	PROPN
fcis-28761	164	3	module	module	NOUN
fcis-28761	164	4	,	,	PUNCT
fcis-28761	164	5	through	through	ADP
fcis-28761	164	6	dilated	dilated	ADJ
fcis-28761	164	7	convolutions	convolution	NOUN
fcis-28761	164	8	with	with	ADP
fcis-28761	164	9	varying	vary	VERB
fcis-28761	164	10	rates	rate	NOUN
fcis-28761	164	11	,	,	PUNCT
fcis-28761	164	12	significantly	significantly	ADV
fcis-28761	164	13	improves	improve	VERB
fcis-28761	164	14	the	the	DET
fcis-28761	164	15	capture	capture	NOUN
fcis-28761	164	16	of	of	ADP
fcis-28761	164	17	multi	multi	ADJ
fcis-28761	164	18	-	-	ADJ
fcis-28761	164	19	scale	scale	ADJ
fcis-28761	164	20	contextual	contextual	ADJ
fcis-28761	164	21	information	information	NOUN
fcis-28761	164	22	,	,	PUNCT
fcis-28761	164	23	allowing	allow	VERB
fcis-28761	164	24	the	the	DET
fcis-28761	164	25	model	model	NOUN
fcis-28761	164	26	to	to	PART
fcis-28761	164	27	handle	handle	VERB
fcis-28761	164	28	diverse	diverse	ADJ
fcis-28761	164	29	road	road	NOUN
fcis-28761	164	30	shapes	shape	NOUN
fcis-28761	164	31	and	and	CCONJ
fcis-28761	164	32	scales	scale	NOUN
fcis-28761	164	33	.	.	PUNCT
fcis-28761	165	1	the	the	DET
fcis-28761	165	2	fat	fat	ADJ
fcis-28761	165	3	module	module	NOUN
fcis-28761	165	4	combines	combine	VERB
fcis-28761	165	5	the	the	DET
fcis-28761	165	6	global	global	ADJ
fcis-28761	165	7	feature	feature	NOUN
fcis-28761	165	8	extraction	extraction	NOUN
fcis-28761	165	9	capabilities	capability	NOUN
fcis-28761	165	10	of	of	ADP
fcis-28761	165	11	transformers	transformer	NOUN
fcis-28761	165	12	with	with	ADP
fcis-28761	165	13	the	the	DET
fcis-28761	165	14	local	local	ADJ
fcis-28761	165	15	detail	detail	NOUN
fcis-28761	165	16	extraction	extraction	NOUN
fcis-28761	165	17	strengths	strength	NOUN
fcis-28761	165	18	of	of	ADP
fcis-28761	165	19	cnns	cnn	NOUN
fcis-28761	165	20	,	,	PUNCT
fcis-28761	165	21	enabling	enable	VERB
fcis-28761	165	22	the	the	DET
fcis-28761	165	23	model	model	NOUN
fcis-28761	165	24	to	to	PART
fcis-28761	165	25	preserve	preserve	VERB
fcis-28761	165	26	road	road	NOUN
fcis-28761	165	27	details	detail	NOUN
fcis-28761	165	28	while	while	SCONJ
fcis-28761	165	29	capturing	capture	VERB
fcis-28761	165	30	long	long	ADJ
fcis-28761	165	31	-	-	PUNCT
fcis-28761	165	32	range	range	NOUN
fcis-28761	165	33	dependencies	dependency	NOUN
fcis-28761	165	34	,	,	PUNCT
fcis-28761	165	35	thus	thus	ADV
fcis-28761	165	36	reducing	reduce	VERB
fcis-28761	165	37	the	the	DET
fcis-28761	165	38	impact	impact	NOUN
fcis-28761	165	39	of	of	ADP
fcis-28761	165	40	road	road	NOUN
fcis-28761	165	41	occlusions	occlusion	NOUN
fcis-28761	165	42	and	and	CCONJ
fcis-28761	165	43	ensuring	ensure	VERB
fcis-28761	165	44	the	the	DET
fcis-28761	165	45	continuity	continuity	NOUN
fcis-28761	165	46	of	of	ADP
fcis-28761	165	47	road	road	NOUN
fcis-28761	165	48	extraction	extraction	NOUN
fcis-28761	165	49	.	.	PUNCT
fcis-28761	166	1	by	by	ADP
fcis-28761	166	2	optimizing	optimize	VERB
fcis-28761	166	3	the	the	DET
fcis-28761	166	4	handling	handling	NOUN
fcis-28761	166	5	of	of	ADP
fcis-28761	166	6	different	different	ADJ
fcis-28761	166	7	feature	feature	NOUN
fcis-28761	166	8	signals	signal	NOUN
fcis-28761	166	9	,	,	PUNCT
fcis-28761	166	10	marenet	marenet	PROPN
fcis-28761	166	11	achieves	achieve	VERB
fcis-28761	166	12	a	a	DET
fcis-28761	166	13	good	good	ADJ
fcis-28761	166	14	balance	balance	NOUN
fcis-28761	166	15	between	between	ADP
fcis-28761	166	16	global	global	ADJ
fcis-28761	166	17	contextual	contextual	ADJ
fcis-28761	166	18	understanding	understanding	NOUN
fcis-28761	166	19	and	and	CCONJ
fcis-28761	166	20	local	local	ADJ
fcis-28761	166	21	feature	feature	NOUN
fcis-28761	166	22	precision	precision	NOUN
fcis-28761	166	23	,	,	PUNCT
fcis-28761	166	24	effectively	effectively	ADV
fcis-28761	166	25	overcoming	overcome	VERB
fcis-28761	166	26	the	the	DET
fcis-28761	166	27	over	over	ADV
fcis-28761	166	28	-	-	PUNCT
fcis-28761	166	29	smoothing	smooth	VERB
fcis-28761	166	30	issues	issue	NOUN
fcis-28761	166	31	observed	observe	VERB
fcis-28761	166	32	in	in	ADP
fcis-28761	166	33	previous	previous	ADJ
fcis-28761	166	34	transformer	transformer	NOUN
fcis-28761	166	35	-	-	PUNCT
fcis-28761	166	36	based	base	VERB
fcis-28761	166	37	models	model	NOUN
fcis-28761	166	38	.	.	PUNCT
fcis-28761	167	1	evaluation	evaluation	NOUN
fcis-28761	167	2	results	result	NOUN
fcis-28761	167	3	on	on	ADP
fcis-28761	167	4	benchmark	benchmark	NOUN
fcis-28761	167	5	datasets	dataset	NOUN
fcis-28761	167	6	such	such	ADJ
fcis-28761	167	7	as	as	ADP
fcis-28761	167	8	deepglobe	deepglobe	NOUN
fcis-28761	167	9	demonstrate	demonstrate	VERB
fcis-28761	167	10	that	that	SCONJ
fcis-28761	167	11	the	the	DET
fcis-28761	167	12	network	network	NOUN
fcis-28761	167	13	achieves	achieve	VERB
fcis-28761	167	14	state	state	NOUN
fcis-28761	167	15	-	-	PUNCT
fcis-28761	167	16	of	of	ADP
fcis-28761	167	17	-	-	PUNCT
fcis-28761	167	18	the	the	DET
fcis-28761	167	19	-	-	PUNCT
fcis-28761	167	20	art	art	NOUN
fcis-28761	167	21	performance	performance	NOUN
fcis-28761	167	22	in	in	ADP
fcis-28761	167	23	terms	term	NOUN
fcis-28761	167	24	of	of	ADP
fcis-28761	167	25	accuracy	accuracy	NOUN
fcis-28761	167	26	,	,	PUNCT
fcis-28761	167	27	precision	precision	NOUN
fcis-28761	167	28	,	,	PUNCT
fcis-28761	167	29	recall	recall	NOUN
fcis-28761	167	30	,	,	PUNCT
fcis-28761	167	31	f1	f1	NOUN
fcis-28761	167	32	-	-	PUNCT
fcis-28761	167	33	score	score	NOUN
fcis-28761	167	34	,	,	PUNCT
fcis-28761	167	35	and	and	CCONJ
fcis-28761	167	36	iou	iou	NOUN
fcis-28761	167	37	.	.	PUNCT
fcis-28761	168	1	these	these	DET
fcis-28761	168	2	results	result	NOUN
fcis-28761	168	3	highlight	highlight	VERB
fcis-28761	168	4	its	its	PRON
fcis-28761	168	5	robustness	robustness	NOUN
fcis-28761	168	6	in	in	ADP
fcis-28761	168	7	diverse	diverse	ADJ
fcis-28761	168	8	and	and	CCONJ
fcis-28761	168	9	complex	complex	ADJ
fcis-28761	168	10	environments	environment	NOUN
fcis-28761	168	11	and	and	CCONJ
fcis-28761	168	12	its	its	PRON
fcis-28761	168	13	potential	potential	NOUN
fcis-28761	168	14	for	for	ADP
fcis-28761	168	15	real	real	ADJ
fcis-28761	168	16	-	-	PUNCT
fcis-28761	168	17	world	world	NOUN
fcis-28761	168	18	applications	application	NOUN
fcis-28761	168	19	in	in	ADP
fcis-28761	168	20	fields	field	NOUN
fcis-28761	168	21	such	such	ADJ
fcis-28761	168	22	as	as	ADP
fcis-28761	168	23	autonomous	autonomous	ADJ
fcis-28761	168	24	driving	driving	NOUN
fcis-28761	168	25	,	,	PUNCT
fcis-28761	168	26	disaster	disaster	NOUN
fcis-28761	168	27	management	management	NOUN
fcis-28761	168	28	,	,	PUNCT
fcis-28761	168	29	and	and	CCONJ
fcis-28761	168	30	urban	urban	ADJ
fcis-28761	168	31	planning	planning	NOUN
fcis-28761	168	32	.	.	PUNCT
fcis-28761	169	1	references	reference	NOUN
fcis-28761	169	2	[	[	X
fcis-28761	169	3	1	1	NUM
fcis-28761	169	4	]	]	X
fcis-28761	169	5	li	li	PROPN
fcis-28761	169	6	y	y	PROPN
fcis-28761	169	7	h	h	PROPN
fcis-28761	169	8	,	,	PUNCT
fcis-28761	169	9	wang	wang	PROPN
fcis-28761	169	10	m	m	PROPN
fcis-28761	169	11	,	,	PUNCT
fcis-28761	169	12	su	su	PROPN
fcis-28761	169	13	x	x	SYM
fcis-28761	169	14	p	p	PROPN
fcis-28761	169	15	,	,	PUNCT
fcis-28761	169	16	et	et	PROPN
fcis-28761	169	17	al	al	PROPN
fcis-28761	169	18	.	.	PUNCT
fcis-28761	169	19	road	road	NOUN
fcis-28761	169	20	extraction	extraction	NOUN
fcis-28761	169	21	from	from	ADP
fcis-28761	169	22	remote	remote	ADJ
fcis-28761	169	23	sensing	sensing	NOUN
fcis-28761	169	24	images	image	NOUN
fcis-28761	169	25	combining	combine	VERB
fcis-28761	169	26	attention	attention	NOUN
fcis-28761	169	27	and	and	CCONJ
fcis-28761	169	28	context	context	VERB
fcis-28761	169	29	fusion[j	fusion[j	PROPN
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fcis-28761	169	31	ol	ol	PROPN
fcis-28761	169	32	]	]	PUNCT
fcis-28761	169	33	.	.	PUNCT
fcis-28761	170	1	journal	journal	PROPN
fcis-28761	170	2	of	of	ADP
fcis-28761	170	3	jilin	jilin	PROPN
fcis-28761	170	4	university(engineering	university(engineering	PROPN
fcis-28761	170	5	and	and	CCONJ
fcis-28761	170	6	technology	technology	NOUN
fcis-28761	170	7	edition	edition	NOUN
fcis-28761	170	8	)	)	PUNCT
fcis-28761	170	9	,	,	PUNCT
fcis-28761	170	10	1	1	NUM
fcis-28761	170	11	-	-	SYM
fcis-28761	170	12	10[2024	10[2024	NUM
fcis-28761	170	13	-	-	PUNCT
fcis-28761	170	14	10	10	NUM
fcis-28761	170	15	-	-	PUNCT
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fcis-28761	170	17	10.13229	10.13229	NUM
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fcis-28761	171	1	20240442	20240442	NUM
fcis-28761	171	2	.	.	PUNCT
fcis-28761	172	1	[	[	X
fcis-28761	172	2	2	2	NUM
fcis-28761	172	3	]	]	X
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fcis-28761	172	5	s	s	PROPN
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fcis-28761	172	8	y	y	PROPN
fcis-28761	172	9	,	,	PUNCT
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fcis-28761	173	1	a	a	DET
fcis-28761	173	2	survey	survey	NOUN
fcis-28761	173	3	of	of	ADP
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fcis-28761	173	5	learning	learn	VERB
fcis-28761	173	6	road	road	NOUN
fcis-28761	173	7	extraction	extraction	NOUN
fcis-28761	173	8	algorithms	algorithm	NOUN
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fcis-28761	173	10	high	high	ADJ
fcis-28761	173	11	-	-	PUNCT
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fcis-28761	173	13	remote	remote	ADJ
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fcis-28761	173	15	images[j	images[j	PROPN
fcis-28761	173	16	]	]	PUNCT
fcis-28761	173	17	.	.	PUNCT
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fcis-28761	174	2	,	,	PUNCT
fcis-28761	174	3	2024	2024	NUM
fcis-28761	174	4	,	,	PUNCT
fcis-28761	174	5	24(5	24(5	NUM
fcis-28761	174	6	):	):	PUNCT
fcis-28761	174	7	1708	1708	NUM
fcis-28761	174	8	.	.	PUNCT
fcis-28761	175	1	[	[	X
fcis-28761	175	2	3	3	NUM
fcis-28761	175	3	]	]	X
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fcis-28761	175	5	l	l	PROPN
fcis-28761	175	6	,	,	PUNCT
fcis-28761	175	7	guo	guo	PROPN
fcis-28761	175	8	d	d	PROPN
fcis-28761	175	9	d	d	PROPN
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fcis-28761	175	12	q	q	PROPN
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fcis-28761	175	15	et	et	PROPN
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fcis-28761	176	2	learning	learning	NOUN
fcis-28761	176	3	based	base	VERB
fcis-28761	176	4	road	road	NOUN
fcis-28761	176	5	extraction	extraction	NOUN
fcis-28761	176	6	from	from	ADP
fcis-28761	176	7	remote	remote	ADJ
fcis-28761	176	8	sensing	sense	VERB
fcis-28761	176	9	images[j	images[j	PROPN
fcis-28761	176	10	]	]	PUNCT
fcis-28761	176	11	.	.	PUNCT
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fcis-28761	177	2	electronics	electronic	NOUN
fcis-28761	177	3	technique	technique	NOUN
fcis-28761	177	4	,	,	PUNCT
fcis-28761	177	5	2023,46(23):48	2023,46(23):48	NUM
fcis-28761	177	6	-	-	SYM
fcis-28761	177	7	54	54	NUM
fcis-28761	177	8	.	.	PUNCT
fcis-28761	177	9	doi:10.16652	doi:10.16652	PROPN
fcis-28761	177	10	/	/	SYM
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fcis-28761	177	12	.	.	PUNCT
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fcis-28761	178	2	.	.	PUNCT
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fcis-28761	179	2	.	.	PUNCT
fcis-28761	180	1	[	[	X
fcis-28761	180	2	4	4	NUM
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fcis-28761	180	14	al	al	PROPN
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fcis-28761	180	17	on	on	ADP
fcis-28761	180	18	road	road	NOUN
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fcis-28761	180	20	from	from	ADP
fcis-28761	180	21	high	high	ADJ
fcis-28761	180	22	-	-	PUNCT
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fcis-28761	180	25	sensing	sensing	NOUN
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fcis-28761	182	1	[	[	X
fcis-28761	182	2	5	5	NUM
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fcis-28761	182	40	workshops	workshop	NOUN
fcis-28761	182	41	.	.	PUNCT
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fcis-28761	183	4	-	-	SYM
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fcis-28761	184	33	]	]	PUNCT
fcis-28761	184	34	.	.	PUNCT
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fcis-28761	185	2	geoscience	geoscience	PROPN
fcis-28761	185	3	and	and	CCONJ
fcis-28761	185	4	remote	remote	ADJ
fcis-28761	185	5	sensing	sense	VERB
fcis-28761	185	6	letters	letter	NOUN
fcis-28761	185	7	,	,	PUNCT
fcis-28761	185	8	2022	2022	NUM
fcis-28761	185	9	,	,	PUNCT
fcis-28761	185	10	19	19	NUM
fcis-28761	185	11	:	:	SYM
fcis-28761	185	12	1	1	NUM
fcis-28761	185	13	-	-	SYM
fcis-28761	185	14	5	5	NUM
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fcis-28761	186	1	[	[	X
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fcis-28761	186	19	:	:	PUNCT
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fcis-28761	186	34	]	]	PUNCT
fcis-28761	186	35	.	.	PUNCT
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fcis-28761	187	5	,	,	PUNCT
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fcis-28761	187	7	):	):	PUNCT
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fcis-28761	188	1	[	[	X
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fcis-28761	188	26	the	the	DET
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fcis-28761	188	28	/	/	SYM
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fcis-28761	188	30	conference	conference	NOUN
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fcis-28761	188	32	computer	computer	NOUN
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fcis-28761	188	37	.	.	PUNCT
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fcis-28761	189	2	:	:	PUNCT
fcis-28761	189	3	12009	12009	NUM
fcis-28761	189	4	-	-	SYM
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fcis-28761	189	6	.	.	PUNCT
fcis-28761	190	1	[	[	X
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fcis-28761	190	14	al	al	PROPN
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fcis-28761	190	17	extraction	extraction	NOUN
fcis-28761	190	18	from	from	ADP
fcis-28761	190	19	remote	remote	ADJ
fcis-28761	190	20	sensing	sense	VERB
fcis-28761	190	21	imagery	imagery	NOUN
fcis-28761	190	22	with	with	ADP
fcis-28761	190	23	spatial	spatial	ADJ
fcis-28761	190	24	attention	attention	NOUN
fcis-28761	190	25	based	base	VERB
fcis-28761	190	26	on	on	ADP
fcis-28761	190	27	swin	swin	PROPN
fcis-28761	190	28	transformer[j	transformer[j	PROPN
fcis-28761	190	29	]	]	PUNCT
fcis-28761	190	30	.	.	PUNCT
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fcis-28761	191	2	sensing	sensing	NOUN
fcis-28761	191	3	,	,	PUNCT
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fcis-28761	191	5	,	,	PUNCT
fcis-28761	191	6	16(7	16(7	NUM
fcis-28761	191	7	):	):	PUNCT
fcis-28761	191	8	1183	1183	NUM
fcis-28761	191	9	.	.	PUNCT
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fcis-28761	192	3	]	]	X
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fcis-28761	192	9	,	,	PUNCT
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fcis-28761	192	11	p	p	PROPN
fcis-28761	192	12	k	k	PROPN
fcis-28761	192	13	,	,	PUNCT
fcis-28761	192	14	et	et	PROPN
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fcis-28761	192	16	.	.	PUNCT
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fcis-28761	193	2	-	-	PUNCT
fcis-28761	193	3	path	path	NOUN
fcis-28761	193	4	network	network	NOUN
fcis-28761	193	5	combining	combine	VERB
fcis-28761	193	6	cnn	cnn	PROPN
fcis-28761	193	7	and	and	CCONJ
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fcis-28761	193	9	for	for	ADP
fcis-28761	193	10	pavement	pavement	NOUN
fcis-28761	193	11	crack	crack	NOUN
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fcis-28761	194	1	[	[	X
fcis-28761	194	2	j	j	X
fcis-28761	194	3	]	]	X
fcis-28761	194	4	.	.	PUNCT
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fcis-28761	195	2	in	in	ADP
fcis-28761	195	3	construction	construction	NOUN
fcis-28761	195	4	,	,	PUNCT
fcis-28761	195	5	2024	2024	NUM
fcis-28761	195	6	,	,	PUNCT
fcis-28761	195	7	158	158	NUM
fcis-28761	195	8	:	:	SYM
fcis-28761	195	9	105217	105217	NUM
fcis-28761	195	10	.	.	PUNCT
fcis-28761	196	1	[	[	X
fcis-28761	196	2	11	11	NUM
fcis-28761	196	3	]	]	X
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fcis-28761	196	5	j	j	PROPN
fcis-28761	196	6	,	,	PUNCT
fcis-28761	196	7	xia	xia	PROPN
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fcis-28761	196	9	,	,	PUNCT
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fcis-28761	197	2	-	-	PUNCT
fcis-28761	197	3	vit	vit	NOUN
fcis-28761	197	4	:	:	PUNCT
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fcis-28761	197	6	generation	generation	NOUN
fcis-28761	197	7	vision	vision	NOUN
fcis-28761	197	8	transformer	transformer	NOUN
fcis-28761	197	9	for	for	ADP
fcis-28761	197	10	efficient	efficient	ADJ
fcis-28761	197	11	deployment	deployment	NOUN
fcis-28761	197	12	in	in	ADP
fcis-28761	197	13	realistic	realistic	ADJ
fcis-28761	197	14	industrial	industrial	ADJ
fcis-28761	197	15	scenarios[j	scenarios[j	NOUN
fcis-28761	197	16	]	]	PUNCT
fcis-28761	197	17	.	.	PUNCT
fcis-28761	198	1	arxiv	arxiv	PROPN
fcis-28761	198	2	preprint	preprint	PROPN
fcis-28761	198	3	arxiv:2207.05501	arxiv:2207.05501	VERB
fcis-28761	198	4	,	,	PUNCT
fcis-28761	198	5	2022	2022	NUM
fcis-28761	198	6	.	.	PUNCT
fcis-28761	199	1	[	[	X
fcis-28761	199	2	12	12	NUM
fcis-28761	199	3	]	]	X
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fcis-28761	199	5	x	x	PROPN
fcis-28761	199	6	,	,	PUNCT
fcis-28761	199	7	zhong	zhong	PROPN
fcis-28761	199	8	b	b	PROPN
fcis-28761	199	9	,	,	PUNCT
fcis-28761	199	10	liang	liang	PROPN
fcis-28761	199	11	q	q	PROPN
fcis-28761	199	12	,	,	PUNCT
fcis-28761	199	13	et	et	PROPN
fcis-28761	199	14	al	al	PROPN
fcis-28761	199	15	.	.	PUNCT
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fcis-28761	199	18	via	via	ADP
fcis-28761	199	19	frequency	frequency	NOUN
fcis-28761	199	20	fusion[j	fusion[j	PROPN
fcis-28761	199	21	]	]	PUNCT
fcis-28761	199	22	.	.	PUNCT
fcis-28761	200	1	ieee	ieee	NOUN
fcis-28761	200	2	transactions	transaction	NOUN
fcis-28761	200	3	on	on	ADP
fcis-28761	200	4	circuits	circuit	NOUN
fcis-28761	200	5	and	and	CCONJ
fcis-28761	200	6	systems	system	NOUN
fcis-28761	200	7	for	for	ADP
fcis-28761	200	8	video	video	NOUN
fcis-28761	200	9	technology	technology	NOUN
fcis-28761	200	10	,	,	PUNCT
fcis-28761	200	11	2023	2023	NUM
fcis-28761	200	12	,	,	PUNCT
fcis-28761	200	13	34(2	34(2	NUM
fcis-28761	200	14	):	):	PUNCT
fcis-28761	200	15	1020	1020	NUM
fcis-28761	200	16	-	-	SYM
fcis-28761	200	17	1031	1031	NUM
fcis-28761	200	18	.	.	PUNCT
fcis-28761	201	1	[	[	X
fcis-28761	201	2	13	13	NUM
fcis-28761	201	3	]	]	X
fcis-28761	201	4	liu	liu	PROPN
fcis-28761	201	5	z	z	PROPN
fcis-28761	201	6	,	,	PUNCT
fcis-28761	201	7	mao	mao	PROPN
fcis-28761	201	8	h	h	NOUN
fcis-28761	201	9	,	,	PUNCT
fcis-28761	201	10	wu	wu	PROPN
fcis-28761	201	11	c	c	PROPN
fcis-28761	201	12	y	y	PROPN
fcis-28761	201	13	,	,	PUNCT
fcis-28761	201	14	et	et	PROPN
fcis-28761	201	15	al	al	PROPN
fcis-28761	201	16	.	.	PUNCT
fcis-28761	202	1	a	a	DET
fcis-28761	202	2	convnet	convnet	NOUN
fcis-28761	202	3	for	for	ADP
fcis-28761	202	4	the	the	DET
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fcis-28761	202	6	of	of	ADP
fcis-28761	202	7	the	the	DET
fcis-28761	202	8	ieee	ieee	NOUN
fcis-28761	202	9	/	/	SYM
fcis-28761	202	10	cvf	cvf	NOUN
fcis-28761	202	11	conference	conference	NOUN
fcis-28761	202	12	on	on	ADP
fcis-28761	202	13	computer	computer	NOUN
fcis-28761	202	14	vision	vision	NOUN
fcis-28761	202	15	and	and	CCONJ
fcis-28761	202	16	pattern	pattern	NOUN
fcis-28761	202	17	recognition	recognition	NOUN
fcis-28761	202	18	.	.	PUNCT
fcis-28761	203	1	2022	2022	NUM
fcis-28761	203	2	:	:	PUNCT
fcis-28761	203	3	11976	11976	NUM
fcis-28761	203	4	-	-	SYM
fcis-28761	203	5	11986	11986	NUM
fcis-28761	203	6	.	.	PUNCT
fcis-28761	204	1	[	[	X
fcis-28761	204	2	14	14	NUM
fcis-28761	204	3	]	]	X
fcis-28761	204	4	zhang	zhang	PROPN
fcis-28761	204	5	w	w	PROPN
fcis-28761	204	6	,	,	PUNCT
fcis-28761	204	7	zhao	zhao	PROPN
fcis-28761	204	8	w	w	PROPN
fcis-28761	204	9	,	,	PUNCT
fcis-28761	204	10	li	li	PROPN
fcis-28761	204	11	j	j	PROPN
fcis-28761	204	12	,	,	PUNCT
fcis-28761	204	13	et	et	PROPN
fcis-28761	204	14	al	al	PROPN
fcis-28761	204	15	.	.	PROPN
fcis-28761	204	16	cvanet	cvanet	PROPN
fcis-28761	204	17	:	:	PUNCT
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fcis-28761	204	19	visual	visual	ADJ
fcis-28761	204	20	attention	attention	NOUN
fcis-28761	204	21	network	network	NOUN
fcis-28761	204	22	for	for	ADP
fcis-28761	204	23	single	single	ADJ
fcis-28761	204	24	image	image	NOUN
fcis-28761	204	25	super	super	NOUN
fcis-28761	204	26	-	-	ADJ
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fcis-28761	204	28	]	]	PUNCT
fcis-28761	204	29	.	.	PUNCT
fcis-28761	205	1	neural	neural	ADJ
fcis-28761	205	2	networks	network	NOUN
fcis-28761	205	3	,	,	PUNCT
fcis-28761	205	4	2024	2024	NUM
fcis-28761	205	5	,	,	PUNCT
fcis-28761	205	6	170	170	NUM
fcis-28761	205	7	:	:	PUNCT
fcis-28761	205	8	622	622	NUM
fcis-28761	205	9	-	-	SYM
fcis-28761	205	10	634	634	NUM
fcis-28761	205	11	.	.	PUNCT
fcis-28761	206	1	[	[	X
fcis-28761	206	2	15	15	NUM
fcis-28761	206	3	]	]	X
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fcis-28761	206	5	h	h	PROPN
fcis-28761	206	6	,	,	PUNCT
fcis-28761	206	7	zhang	zhang	PROPN
fcis-28761	206	8	b.	b.	PROPN
fcis-28761	206	9	fdaenet	fdaenet	PROPN
fcis-28761	206	10	:	:	PUNCT
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fcis-28761	206	12	domain	domain	NOUN
fcis-28761	206	13	attention	attention	NOUN
fcis-28761	206	14	encoder	encoder	NOUN
fcis-28761	206	15	-	-	PUNCT
fcis-28761	206	16	decoder	decoder	NOUN
fcis-28761	206	17	network	network	NOUN
fcis-28761	206	18	for	for	ADP
fcis-28761	206	19	road	road	NOUN
fcis-28761	206	20	extraction	extraction	NOUN
fcis-28761	206	21	of	of	ADP
fcis-28761	206	22	remote	remote	ADJ
fcis-28761	206	23	sensing	sense	VERB
fcis-28761	206	24	images[j	images[j	PROPN
fcis-28761	206	25	]	]	PUNCT
fcis-28761	206	26	.	.	PUNCT
fcis-28761	207	1	journal	journal	PROPN
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fcis-28761	207	3	applied	apply	VERB
fcis-28761	207	4	remote	remote	ADJ
fcis-28761	207	5	sensing	sensing	NOUN
fcis-28761	207	6	,	,	PUNCT
fcis-28761	207	7	2024	2024	NUM
fcis-28761	207	8	,	,	PUNCT
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fcis-28761	207	10	):	):	PUNCT
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fcis-28761	208	3	]	]	X
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fcis-28761	208	6	,	,	PUNCT
fcis-28761	208	7	wang	wang	PROPN
fcis-28761	208	8	l	l	PROPN
fcis-28761	208	9	,	,	PUNCT
fcis-28761	208	10	zhang	zhang	PROPN
fcis-28761	208	11	c	c	X
fcis-28761	208	12	,	,	PUNCT
fcis-28761	208	13	et	et	PROPN
fcis-28761	208	14	al	al	PROPN
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fcis-28761	208	17	-	-	PUNCT
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fcis-28761	208	20	semantic	semantic	ADJ
fcis-28761	208	21	segmentation	segmentation	NOUN
fcis-28761	208	22	of	of	ADP
fcis-28761	208	23	fine	fine	ADJ
fcis-28761	208	24	-	-	PUNCT
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fcis-28761	208	26	remotely	remotely	ADV
fcis-28761	208	27	sensed	sense	VERB
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fcis-28761	208	29	]	]	PUNCT
fcis-28761	208	30	.	.	PUNCT
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fcis-28761	209	2	journal	journal	PROPN
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fcis-28761	209	8	,	,	PUNCT
fcis-28761	209	9	43(3	43(3	NUM
fcis-28761	209	10	):	):	PUNCT
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fcis-28761	209	12	.	.	PUNCT
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fcis-28761	210	3	]	]	X
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fcis-28761	210	9	,	,	PUNCT
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fcis-28761	210	12	,	,	PUNCT
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fcis-28761	210	19	bilateral	bilateral	ADJ
fcis-28761	210	20	contextual	contextual	ADJ
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fcis-28761	210	22	for	for	ADP
fcis-28761	210	23	efficient	efficient	ADJ
fcis-28761	210	24	semantic	semantic	ADJ
fcis-28761	210	25	segmentation	segmentation	NOUN
fcis-28761	210	26	of	of	ADP
fcis-28761	210	27	fine	fine	ADJ
fcis-28761	210	28	-	-	PUNCT
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fcis-28761	210	30	remotely	remotely	ADV
fcis-28761	210	31	sensed	sense	VERB
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fcis-28761	210	33	]	]	PUNCT
fcis-28761	210	34	.	.	PUNCT
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fcis-28761	211	12	:	:	SYM
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fcis-28761	211	14	-	-	SYM
fcis-28761	211	15	98	98	NUM
fcis-28761	211	16	.	.	PUNCT
fcis-28761	212	1	[	[	X
fcis-28761	212	2	18	18	NUM
fcis-28761	212	3	]	]	X
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fcis-28761	212	9	,	,	PUNCT
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fcis-28761	212	12	,	,	PUNCT
fcis-28761	212	13	et	et	PROPN
fcis-28761	212	14	al	al	PROPN
fcis-28761	212	15	.	.	PUNCT
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fcis-28761	212	17	:	:	PUNCT
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fcis-28761	212	21	network	network	NOUN
fcis-28761	212	22	for	for	ADP
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fcis-28761	212	24	-	-	PUNCT
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fcis-28761	212	26	detection	detection	NOUN
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fcis-28761	212	28	damage	damage	NOUN
fcis-28761	212	29	maps	map	NOUN
fcis-28761	212	30	in	in	ADP
fcis-28761	212	31	remote	remote	ADJ
fcis-28761	212	32	sensing	sense	VERB
fcis-28761	212	33	images[j	images[j	PROPN
fcis-28761	212	34	]	]	PUNCT
fcis-28761	212	35	.	.	PUNCT
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fcis-28761	213	3	on	on	ADP
fcis-28761	213	4	geoscience	geoscience	NOUN
fcis-28761	213	5	and	and	CCONJ
fcis-28761	213	6	remote	remote	ADJ
fcis-28761	213	7	sensing	sensing	NOUN
fcis-28761	213	8	,	,	PUNCT
fcis-28761	213	9	2022	2022	NUM
fcis-28761	213	10	,	,	PUNCT
fcis-28761	213	11	60	60	NUM
fcis-28761	213	12	:	:	SYM
fcis-28761	213	13	1	1	NUM
fcis-28761	213	14	-	-	SYM
fcis-28761	213	15	13	13	NUM
fcis-28761	213	16	.	.	PUNCT
fcis-28761	214	1	[	[	X
fcis-28761	214	2	19	19	NUM
fcis-28761	214	3	]	]	X
fcis-28761	214	4	guo	guo	PROPN
fcis-28761	214	5	z	z	PROPN
fcis-28761	214	6	,	,	PUNCT
fcis-28761	214	7	bian	bian	PROPN
fcis-28761	214	8	l	l	PROPN
fcis-28761	214	9	,	,	PUNCT
fcis-28761	214	10	huang	huang	PROPN
fcis-28761	214	11	x	x	PROPN
fcis-28761	214	12	,	,	PUNCT
fcis-28761	214	13	et	et	PROPN
fcis-28761	214	14	al	al	PROPN
fcis-28761	214	15	.	.	PUNCT
fcis-28761	215	1	dsnet	dsnet	PROPN
fcis-28761	215	2	:	:	PUNCT
fcis-28761	215	3	a	a	DET
fcis-28761	215	4	novel	novel	ADJ
fcis-28761	215	5	way	way	NOUN
fcis-28761	215	6	to	to	PART
fcis-28761	215	7	use	use	VERB
fcis-28761	215	8	atrous	atrous	ADJ
fcis-28761	215	9	convolutions	convolution	NOUN
fcis-28761	215	10	in	in	ADP
fcis-28761	215	11	semantic	semantic	ADJ
fcis-28761	215	12	segmentation[j	segmentation[j	PROPN
fcis-28761	215	13	]	]	PUNCT
fcis-28761	215	14	.	.	PUNCT
fcis-28761	216	1	arxiv	arxiv	PROPN
fcis-28761	216	2	preprint	preprint	PROPN
fcis-28761	216	3	arxiv:2406.03702	arxiv:2406.03702	PROPN
fcis-28761	216	4	,	,	PUNCT
fcis-28761	216	5	2024	2024	NUM
fcis-28761	216	6	.	.	PUNCT
fcis-28761	217	1	[	[	X
fcis-28761	217	2	20	20	NUM
fcis-28761	217	3	]	]	X
fcis-28761	217	4	mehta	mehta	PROPN
fcis-28761	217	5	d	d	PROPN
fcis-28761	217	6	,	,	PUNCT
fcis-28761	217	7	skliar	skliar	VERB
fcis-28761	217	8	a	a	PRON
fcis-28761	217	9	,	,	PUNCT
fcis-28761	217	10	ben	ben	PROPN
fcis-28761	217	11	yahia	yahia	PROPN
fcis-28761	217	12	h	h	PROPN
fcis-28761	217	13	,	,	PUNCT
fcis-28761	217	14	et	et	PROPN
fcis-28761	217	15	al	al	PROPN
fcis-28761	217	16	.	.	PROPN
fcis-28761	218	1	simple	simple	ADJ
fcis-28761	218	2	and	and	CCONJ
fcis-28761	218	3	efficient	efficient	ADJ
fcis-28761	218	4	architectures	architecture	NOUN
fcis-28761	218	5	for	for	ADP
fcis-28761	218	6	semantic	semantic	ADJ
fcis-28761	218	7	segmentation[c]//proceedings	segmentation[c]//proceeding	NOUN
fcis-28761	218	8	of	of	ADP
fcis-28761	218	9	the	the	DET
fcis-28761	218	10	ieee	ieee	NOUN
fcis-28761	218	11	/	/	SYM
fcis-28761	218	12	cvf	cvf	NOUN
fcis-28761	218	13	conference	conference	NOUN
fcis-28761	218	14	on	on	ADP
fcis-28761	218	15	computer	computer	NOUN
fcis-28761	218	16	vision	vision	NOUN
fcis-28761	218	17	and	and	CCONJ
fcis-28761	218	18	pattern	pattern	NOUN
fcis-28761	218	19	recognition	recognition	NOUN
fcis-28761	218	20	.	.	PUNCT
fcis-28761	219	1	2022	2022	NUM
fcis-28761	219	2	:	:	PUNCT
fcis-28761	219	3	2628	2628	NUM
fcis-28761	219	4	-	-	SYM
fcis-28761	219	5	2636	2636	NUM
fcis-28761	219	6	.	.	PUNCT
fcis-28761	220	1	[	[	X
fcis-28761	220	2	21	21	NUM
fcis-28761	220	3	]	]	X
fcis-28761	220	4	wang	wang	PROPN
fcis-28761	220	5	l	l	PROPN
fcis-28761	220	6	,	,	PUNCT
fcis-28761	220	7	li	li	PROPN
fcis-28761	220	8	r	r	PROPN
fcis-28761	220	9	,	,	PUNCT
fcis-28761	220	10	zhang	zhang	PROPN
fcis-28761	220	11	c	c	X
fcis-28761	220	12	,	,	PUNCT
fcis-28761	220	13	et	et	PROPN
fcis-28761	220	14	al	al	PROPN
fcis-28761	220	15	.	.	PUNCT
fcis-28761	220	16	unetformer	unetformer	PROPN
fcis-28761	220	17	:	:	PUNCT
fcis-28761	220	18	a	a	DET
fcis-28761	220	19	unet	unet	NOUN
fcis-28761	220	20	-	-	PUNCT
fcis-28761	220	21	like	like	ADJ
fcis-28761	220	22	transformer	transformer	NOUN
fcis-28761	220	23	for	for	ADP
fcis-28761	220	24	efficient	efficient	ADJ
fcis-28761	220	25	semantic	semantic	ADJ
fcis-28761	220	26	segmentation	segmentation	NOUN
fcis-28761	220	27	of	of	ADP
fcis-28761	220	28	remote	remote	ADJ
fcis-28761	220	29	sensing	sense	VERB
fcis-28761	220	30	urban	urban	ADJ
fcis-28761	220	31	scene	scene	NOUN
fcis-28761	220	32	imagery[j	imagery[j	PROPN
fcis-28761	220	33	]	]	PUNCT
fcis-28761	220	34	.	.	PUNCT
fcis-28761	221	1	isprs	isprs	PROPN
fcis-28761	221	2	journal	journal	PROPN
fcis-28761	221	3	of	of	ADP
fcis-28761	221	4	photogrammetry	photogrammetry	NOUN
fcis-28761	221	5	and	and	CCONJ
fcis-28761	221	6	remote	remote	ADJ
fcis-28761	221	7	sensing	sensing	NOUN
fcis-28761	221	8	,	,	PUNCT
fcis-28761	221	9	2022	2022	NUM
fcis-28761	221	10	,	,	PUNCT
fcis-28761	221	11	190	190	NUM
fcis-28761	221	12	:	:	SYM
fcis-28761	221	13	196	196	NUM
fcis-28761	221	14	-	-	SYM
fcis-28761	221	15	214	214	NUM
fcis-28761	221	16	.	.	PUNCT