id	sid	tid	token	lemma	pos
ajst-21770	1	1	academic	academic	ADJ
ajst-21770	1	2	journal	journal	NOUN
ajst-21770	1	3	of	of	ADP
ajst-21770	1	4	science	science	NOUN
ajst-21770	1	5	and	and	CCONJ
ajst-21770	1	6	technology	technology	NOUN
ajst-21770	1	7	issn	issn	NOUN
ajst-21770	1	8	:	:	PUNCT
ajst-21770	1	9	2771	2771	NUM
ajst-21770	1	10	-	-	SYM
ajst-21770	1	11	3032	3032	NUM
ajst-21770	1	12	|	|	NOUN
ajst-21770	1	13	vol	vol	NOUN
ajst-21770	1	14	.	.	PROPN
ajst-21770	2	1	11	11	NUM
ajst-21770	2	2	,	,	PUNCT
ajst-21770	2	3	no	no	INTJ
ajst-21770	2	4	.	.	NOUN
ajst-21770	2	5	1	1	NUM
ajst-21770	2	6	,	,	PUNCT
ajst-21770	2	7	2024	2024	NUM
ajst-21770	2	8	114	114	NUM
ajst-21770	2	9	building	building	NOUN
ajst-21770	2	10	damage	damage	NOUN
ajst-21770	2	11	degree	degree	NOUN
ajst-21770	2	12	recognition	recognition	NOUN
ajst-21770	2	13	based	base	VERB
ajst-21770	2	14	on	on	ADP
ajst-21770	2	15	temporal	temporal	ADJ
ajst-21770	2	16	attention	attention	NOUN
ajst-21770	2	17	features	feature	VERB
ajst-21770	2	18	zhenzhao	zhenzhao	PROPN
ajst-21770	2	19	jiang	jiang	PROPN
ajst-21770	3	1	*	*	PROPN
ajst-21770	3	2	school	school	NOUN
ajst-21770	3	3	of	of	ADP
ajst-21770	3	4	surveying	surveying	NOUN
ajst-21770	3	5	and	and	CCONJ
ajst-21770	3	6	land	land	NOUN
ajst-21770	3	7	information	information	NOUN
ajst-21770	3	8	engineering	engineering	PROPN
ajst-21770	3	9	,	,	PUNCT
ajst-21770	3	10	henan	henan	PROPN
ajst-21770	3	11	polytechnic	polytechnic	PROPN
ajst-21770	3	12	university	university	PROPN
ajst-21770	3	13	,	,	PUNCT
ajst-21770	3	14	jiaozuo	jiaozuo	PROPN
ajst-21770	3	15	,	,	PUNCT
ajst-21770	3	16	henan	henan	PROPN
ajst-21770	3	17	,	,	PUNCT
ajst-21770	3	18	china	china	PROPN
ajst-21770	3	19	*	*	PUNCT
ajst-21770	3	20	corresponding	correspond	VERB
ajst-21770	3	21	author	author	NOUN
ajst-21770	3	22	:	:	PUNCT
ajst-21770	3	23	zhenzhao	zhenzhao	PROPN
ajst-21770	3	24	jiang	jiang	PROPN
ajst-21770	4	1	(	(	PUNCT
ajst-21770	4	2	email	email	NOUN
ajst-21770	4	3	:	:	PUNCT
ajst-21770	4	4	jiangzhenzhao9527@gmail.com	jiangzhenzhao9527@gmail.com	X
ajst-21770	4	5	)	)	PUNCT
ajst-21770	4	6	abstract	abstract	ADJ
ajst-21770	4	7	:	:	PUNCT
ajst-21770	4	8	natural	natural	ADJ
ajst-21770	4	9	disasters	disaster	NOUN
ajst-21770	4	10	pose	pose	VERB
ajst-21770	4	11	significant	significant	ADJ
ajst-21770	4	12	harm	harm	NOUN
ajst-21770	4	13	to	to	ADP
ajst-21770	4	14	society	society	NOUN
ajst-21770	4	15	.	.	PUNCT
ajst-21770	5	1	as	as	ADP
ajst-21770	5	2	an	an	DET
ajst-21770	5	3	important	important	ADJ
ajst-21770	5	4	place	place	NOUN
ajst-21770	5	5	for	for	ADP
ajst-21770	5	6	social	social	ADJ
ajst-21770	5	7	activities	activity	NOUN
ajst-21770	5	8	and	and	CCONJ
ajst-21770	5	9	economic	economic	ADJ
ajst-21770	5	10	development	development	NOUN
ajst-21770	5	11	,	,	PUNCT
ajst-21770	5	12	the	the	DET
ajst-21770	5	13	degree	degree	NOUN
ajst-21770	5	14	of	of	ADP
ajst-21770	5	15	damage	damage	NOUN
ajst-21770	5	16	to	to	ADP
ajst-21770	5	17	building	building	NOUN
ajst-21770	5	18	areas	area	NOUN
ajst-21770	5	19	is	be	AUX
ajst-21770	5	20	directly	directly	ADV
ajst-21770	5	21	related	relate	VERB
ajst-21770	5	22	to	to	ADP
ajst-21770	5	23	disaster	disaster	NOUN
ajst-21770	5	24	loss	loss	NOUN
ajst-21770	5	25	assessment	assessment	NOUN
ajst-21770	5	26	and	and	CCONJ
ajst-21770	5	27	emergency	emergency	NOUN
ajst-21770	5	28	rescue	rescue	NOUN
ajst-21770	5	29	.	.	PUNCT
ajst-21770	6	1	remote	remote	ADJ
ajst-21770	6	2	sensing	sense	VERB
ajst-21770	6	3	image	image	NOUN
ajst-21770	6	4	data	datum	NOUN
ajst-21770	6	5	,	,	PUNCT
ajst-21770	6	6	characterized	characterize	VERB
ajst-21770	6	7	by	by	ADP
ajst-21770	6	8	its	its	PRON
ajst-21770	6	9	wide	wide	ADJ
ajst-21770	6	10	coverage	coverage	NOUN
ajst-21770	6	11	and	and	CCONJ
ajst-21770	6	12	multi	multi	ADJ
ajst-21770	6	13	-	-	ADJ
ajst-21770	6	14	temporal	temporal	ADJ
ajst-21770	6	15	features	feature	NOUN
ajst-21770	6	16	,	,	PUNCT
ajst-21770	6	17	provides	provide	VERB
ajst-21770	6	18	important	important	ADJ
ajst-21770	6	19	data	datum	NOUN
ajst-21770	6	20	support	support	NOUN
ajst-21770	6	21	for	for	ADP
ajst-21770	6	22	postdisaster	postdisaster	ADJ
ajst-21770	6	23	loss	loss	NOUN
ajst-21770	6	24	assessment	assessment	NOUN
ajst-21770	6	25	.	.	PUNCT
ajst-21770	7	1	however	however	ADV
ajst-21770	7	2	,	,	PUNCT
ajst-21770	7	3	imaging	imaging	NOUN
ajst-21770	7	4	differences	difference	NOUN
ajst-21770	7	5	caused	cause	VERB
ajst-21770	7	6	by	by	ADP
ajst-21770	7	7	factors	factor	NOUN
ajst-21770	7	8	such	such	ADJ
ajst-21770	7	9	as	as	ADP
ajst-21770	7	10	shooting	shooting	NOUN
ajst-21770	7	11	time	time	NOUN
ajst-21770	7	12	,	,	PUNCT
ajst-21770	7	13	imaging	imaging	NOUN
ajst-21770	7	14	angle	angle	NOUN
ajst-21770	7	15	,	,	PUNCT
ajst-21770	7	16	and	and	CCONJ
ajst-21770	7	17	different	different	ADJ
ajst-21770	7	18	sensors	sensor	NOUN
ajst-21770	7	19	can	can	AUX
ajst-21770	7	20	interfere	interfere	VERB
ajst-21770	7	21	with	with	ADP
ajst-21770	7	22	the	the	DET
ajst-21770	7	23	extraction	extraction	NOUN
ajst-21770	7	24	of	of	ADP
ajst-21770	7	25	damage	damage	NOUN
ajst-21770	7	26	features	feature	NOUN
ajst-21770	7	27	and	and	CCONJ
ajst-21770	7	28	loss	loss	NOUN
ajst-21770	7	29	assessment	assessment	NOUN
ajst-21770	7	30	.	.	PUNCT
ajst-21770	8	1	this	this	DET
ajst-21770	8	2	paper	paper	NOUN
ajst-21770	8	3	proposes	propose	VERB
ajst-21770	8	4	a	a	DET
ajst-21770	8	5	dual	dual	ADJ
ajst-21770	8	6	-	-	PUNCT
ajst-21770	8	7	exchange	exchange	NOUN
ajst-21770	8	8	-	-	PUNCT
ajst-21770	8	9	attention	attention	NOUN
ajst-21770	8	10	u	u	NOUN
ajst-21770	8	11	-	-	NOUN
ajst-21770	8	12	net	net	ADJ
ajst-21770	8	13	(	(	PUNCT
ajst-21770	8	14	deru	deru	PROPN
ajst-21770	8	15	-	-	PUNCT
ajst-21770	8	16	net	net	NOUN
ajst-21770	8	17	)	)	PUNCT
ajst-21770	8	18	model	model	NOUN
ajst-21770	8	19	,	,	PUNCT
ajst-21770	8	20	which	which	PRON
ajst-21770	8	21	transforms	transform	VERB
ajst-21770	8	22	the	the	DET
ajst-21770	8	23	identification	identification	NOUN
ajst-21770	8	24	of	of	ADP
ajst-21770	8	25	building	build	VERB
ajst-21770	8	26	damage	damage	NOUN
ajst-21770	8	27	levels	level	NOUN
ajst-21770	8	28	into	into	ADP
ajst-21770	8	29	intra	intra	ADJ
ajst-21770	8	30	-	-	ADJ
ajst-21770	8	31	class	class	ADJ
ajst-21770	8	32	semantic	semantic	ADJ
ajst-21770	8	33	change	change	NOUN
ajst-21770	8	34	detection	detection	NOUN
ajst-21770	8	35	.	.	PUNCT
ajst-21770	9	1	the	the	DET
ajst-21770	9	2	dfma	dfma	NOUN
ajst-21770	9	3	feature	feature	VERB
ajst-21770	9	4	attention	attention	NOUN
ajst-21770	9	5	fusion	fusion	NOUN
ajst-21770	9	6	module	module	NOUN
ajst-21770	9	7	is	be	AUX
ajst-21770	9	8	introduced	introduce	VERB
ajst-21770	9	9	to	to	PART
ajst-21770	9	10	enhance	enhance	VERB
ajst-21770	9	11	the	the	DET
ajst-21770	9	12	ability	ability	NOUN
ajst-21770	9	13	of	of	ADP
ajst-21770	9	14	dual	dual	ADJ
ajst-21770	9	15	-	-	PUNCT
ajst-21770	9	16	temporal	temporal	ADJ
ajst-21770	9	17	feature	feature	NOUN
ajst-21770	9	18	extraction	extraction	NOUN
ajst-21770	9	19	and	and	CCONJ
ajst-21770	9	20	achieve	achieve	VERB
ajst-21770	9	21	end	end	NOUN
ajst-21770	9	22	-	-	PUNCT
ajst-21770	9	23	to	to	ADP
ajst-21770	9	24	-	-	PUNCT
ajst-21770	9	25	end	end	NOUN
ajst-21770	9	26	assessment	assessment	NOUN
ajst-21770	9	27	of	of	ADP
ajst-21770	9	28	building	build	VERB
ajst-21770	9	29	damage	damage	NOUN
ajst-21770	9	30	.	.	PUNCT
ajst-21770	10	1	the	the	DET
ajst-21770	10	2	proposed	propose	VERB
ajst-21770	10	3	method	method	NOUN
ajst-21770	10	4	is	be	AUX
ajst-21770	10	5	comprehensively	comprehensively	ADV
ajst-21770	10	6	evaluated	evaluate	VERB
ajst-21770	10	7	and	and	CCONJ
ajst-21770	10	8	tested	test	VERB
ajst-21770	10	9	on	on	ADP
ajst-21770	10	10	the	the	DET
ajst-21770	10	11	xbd	xbd	PROPN
ajst-21770	10	12	dataset	dataset	PROPN
ajst-21770	10	13	.	.	PUNCT
ajst-21770	11	1	experimental	experimental	ADJ
ajst-21770	11	2	results	result	NOUN
ajst-21770	11	3	show	show	VERB
ajst-21770	11	4	that	that	SCONJ
ajst-21770	11	5	compared	compare	VERB
ajst-21770	11	6	with	with	ADP
ajst-21770	11	7	other	other	ADJ
ajst-21770	11	8	methods	method	NOUN
ajst-21770	11	9	,	,	PUNCT
ajst-21770	11	10	the	the	DET
ajst-21770	11	11	deru	deru	PROPN
ajst-21770	11	12	-	-	PUNCT
ajst-21770	11	13	net	net	PROPN
ajst-21770	11	14	proposed	propose	VERB
ajst-21770	11	15	in	in	ADP
ajst-21770	11	16	this	this	DET
ajst-21770	11	17	paper	paper	NOUN
ajst-21770	11	18	exhibits	exhibit	VERB
ajst-21770	11	19	better	well	ADJ
ajst-21770	11	20	stability	stability	NOUN
ajst-21770	11	21	and	and	CCONJ
ajst-21770	11	22	evaluation	evaluation	NOUN
ajst-21770	11	23	accuracy	accuracy	NOUN
ajst-21770	11	24	in	in	ADP
ajst-21770	11	25	assessing	assess	VERB
ajst-21770	11	26	the	the	DET
ajst-21770	11	27	degree	degree	NOUN
ajst-21770	11	28	of	of	ADP
ajst-21770	11	29	building	build	VERB
ajst-21770	11	30	damage	damage	NOUN
ajst-21770	11	31	.	.	PUNCT
ajst-21770	12	1	keywords	keyword	NOUN
ajst-21770	12	2	:	:	PUNCT
ajst-21770	12	3	structure	structure	NOUN
ajst-21770	12	4	;	;	PUNCT
ajst-21770	12	5	damage	damage	NOUN
ajst-21770	12	6	assessment	assessment	NOUN
ajst-21770	12	7	;	;	PUNCT
ajst-21770	12	8	semantic	semantic	ADJ
ajst-21770	12	9	change	change	NOUN
ajst-21770	12	10	-	-	PUNCT
ajst-21770	12	11	detection	detection	NOUN
ajst-21770	12	12	.	.	PUNCT
ajst-21770	13	1	1	1	X
ajst-21770	13	2	.	.	X
ajst-21770	13	3	introduction	introduction	NOUN
ajst-21770	13	4	natural	natural	ADJ
ajst-21770	13	5	disasters	disaster	NOUN
ajst-21770	13	6	pose	pose	VERB
ajst-21770	13	7	tremendous	tremendous	ADJ
ajst-21770	13	8	harm	harm	NOUN
ajst-21770	13	9	to	to	ADP
ajst-21770	13	10	society	society	NOUN
ajst-21770	13	11	.	.	PUNCT
ajst-21770	14	1	as	as	ADP
ajst-21770	14	2	an	an	DET
ajst-21770	14	3	important	important	ADJ
ajst-21770	14	4	venue	venue	NOUN
ajst-21770	14	5	for	for	ADP
ajst-21770	14	6	social	social	ADJ
ajst-21770	14	7	activities	activity	NOUN
ajst-21770	14	8	and	and	CCONJ
ajst-21770	14	9	economic	economic	ADJ
ajst-21770	14	10	development	development	NOUN
ajst-21770	14	11	,	,	PUNCT
ajst-21770	14	12	building	building	NOUN
ajst-21770	14	13	areas	area	NOUN
ajst-21770	14	14	require	require	VERB
ajst-21770	14	15	accurate	accurate	ADJ
ajst-21770	14	16	and	and	CCONJ
ajst-21770	14	17	immediate	immediate	ADJ
ajst-21770	14	18	responses	response	NOUN
ajst-21770	14	19	from	from	ADP
ajst-21770	14	20	humanitarian	humanitarian	ADJ
ajst-21770	14	21	assistance	assistance	NOUN
ajst-21770	14	22	and	and	CCONJ
ajst-21770	14	23	disaster	disaster	NOUN
ajst-21770	14	24	response	response	NOUN
ajst-21770	14	25	(	(	PUNCT
ajst-21770	14	26	hadr	hadr	NOUN
ajst-21770	14	27	)	)	PUNCT
ajst-21770	14	28	efforts	effort	NOUN
ajst-21770	14	29	when	when	SCONJ
ajst-21770	14	30	natural	natural	ADJ
ajst-21770	14	31	disasters	disaster	NOUN
ajst-21770	14	32	occur	occur	VERB
ajst-21770	14	33	.	.	PUNCT
ajst-21770	15	1	the	the	DET
ajst-21770	15	2	degree	degree	NOUN
ajst-21770	15	3	of	of	ADP
ajst-21770	15	4	damage	damage	NOUN
ajst-21770	15	5	to	to	ADP
ajst-21770	15	6	buildings	building	NOUN
ajst-21770	15	7	is	be	AUX
ajst-21770	15	8	directly	directly	ADV
ajst-21770	15	9	related	relate	VERB
ajst-21770	15	10	to	to	ADP
ajst-21770	15	11	the	the	DET
ajst-21770	15	12	assessment	assessment	NOUN
ajst-21770	15	13	of	of	ADP
ajst-21770	15	14	disaster	disaster	NOUN
ajst-21770	15	15	losses[1	losses[1	NOUN
ajst-21770	15	16	-	-	SYM
ajst-21770	15	17	3]。the	3]。the	NUM
ajst-21770	15	18	assessment	assessment	NOUN
ajst-21770	15	19	of	of	ADP
ajst-21770	15	20	building	build	VERB
ajst-21770	15	21	damage	damage	NOUN
ajst-21770	15	22	serves	serve	VERB
ajst-21770	15	23	as	as	ADP
ajst-21770	15	24	a	a	DET
ajst-21770	15	25	crucial	crucial	ADJ
ajst-21770	15	26	data	datum	NOUN
ajst-21770	15	27	support	support	NOUN
ajst-21770	15	28	for	for	ADP
ajst-21770	15	29	post	post	ADJ
ajst-21770	15	30	-	-	ADJ
ajst-21770	15	31	disaster	disaster	ADJ
ajst-21770	15	32	emergency	emergency	NOUN
ajst-21770	15	33	rescue	rescue	NOUN
ajst-21770	15	34	and	and	CCONJ
ajst-21770	15	35	reconstruction	reconstruction	NOUN
ajst-21770	15	36	.	.	PUNCT
ajst-21770	16	1	the	the	DET
ajst-21770	16	2	objective	objective	NOUN
ajst-21770	16	3	is	be	AUX
ajst-21770	16	4	to	to	PART
ajst-21770	16	5	segment	segment	VERB
ajst-21770	16	6	specific	specific	ADJ
ajst-21770	16	7	instances	instance	NOUN
ajst-21770	16	8	of	of	ADP
ajst-21770	16	9	buildings	building	NOUN
ajst-21770	16	10	and	and	CCONJ
ajst-21770	16	11	then	then	ADV
ajst-21770	16	12	label	label	VERB
ajst-21770	16	13	the	the	DET
ajst-21770	16	14	degree	degree	NOUN
ajst-21770	16	15	of	of	ADP
ajst-21770	16	16	damage	damage	NOUN
ajst-21770	16	17	for	for	ADP
ajst-21770	16	18	each	each	DET
ajst-21770	16	19	instance	instance	NOUN
ajst-21770	16	20	.	.	PUNCT
ajst-21770	17	1	understanding	understand	VERB
ajst-21770	17	2	and	and	CCONJ
ajst-21770	17	3	grasping	grasp	VERB
ajst-21770	17	4	the	the	DET
ajst-21770	17	5	quantity	quantity	NOUN
ajst-21770	17	6	and	and	CCONJ
ajst-21770	17	7	extent	extent	NOUN
ajst-21770	17	8	of	of	ADP
ajst-21770	17	9	damaged	damage	VERB
ajst-21770	17	10	buildings	building	NOUN
ajst-21770	17	11	is	be	AUX
ajst-21770	17	12	vital	vital	ADJ
ajst-21770	17	13	,	,	PUNCT
ajst-21770	17	14	as	as	SCONJ
ajst-21770	17	15	it	it	PRON
ajst-21770	17	16	directly	directly	ADV
ajst-21770	17	17	determines	determine	VERB
ajst-21770	17	18	the	the	DET
ajst-21770	17	19	needs	need	NOUN
ajst-21770	17	20	and	and	CCONJ
ajst-21770	17	21	priorities	priority	NOUN
ajst-21770	17	22	of	of	ADP
ajst-21770	17	23	rescue	rescue	NOUN
ajst-21770	17	24	efforts[4	efforts[4	PROPN
ajst-21770	17	25	]	]	X
ajst-21770	17	26	。	。	PUNCT
ajst-21770	17	27	traditional	traditional	ADJ
ajst-21770	17	28	emergency	emergency	NOUN
ajst-21770	17	29	response	response	NOUN
ajst-21770	17	30	planning	planning	NOUN
ajst-21770	17	31	measures	measure	NOUN
ajst-21770	17	32	rely	rely	VERB
ajst-21770	17	33	heavily	heavily	ADV
ajst-21770	17	34	on	on	ADP
ajst-21770	17	35	ground	ground	NOUN
ajst-21770	17	36	-	-	PUNCT
ajst-21770	17	37	based	base	VERB
ajst-21770	17	38	assessment	assessment	NOUN
ajst-21770	17	39	reports	report	NOUN
ajst-21770	17	40	and	and	CCONJ
ajst-21770	17	41	statistics	statistic	NOUN
ajst-21770	17	42	,	,	PUNCT
ajst-21770	17	43	requiring	require	VERB
ajst-21770	17	44	rescue	rescue	NOUN
ajst-21770	17	45	personnel	personnel	NOUN
ajst-21770	17	46	to	to	PART
ajst-21770	17	47	conduct	conduct	VERB
ajst-21770	17	48	field	field	NOUN
ajst-21770	17	49	investigations	investigation	NOUN
ajst-21770	17	50	and	and	CCONJ
ajst-21770	17	51	evaluations	evaluation	NOUN
ajst-21770	17	52	in	in	ADP
ajst-21770	17	53	disaster	disaster	NOUN
ajst-21770	17	54	-	-	PUNCT
ajst-21770	17	55	stricken	stricken	VERB
ajst-21770	17	56	areas	area	NOUN
ajst-21770	17	57	in	in	ADP
ajst-21770	17	58	order	order	NOUN
ajst-21770	17	59	to	to	PART
ajst-21770	17	60	obtain	obtain	VERB
ajst-21770	17	61	information	information	NOUN
ajst-21770	17	62	about	about	ADP
ajst-21770	17	63	disaster	disaster	NOUN
ajst-21770	17	64	losses	loss	NOUN
ajst-21770	17	65	and	and	CCONJ
ajst-21770	17	66	rescue	rescue	NOUN
ajst-21770	17	67	needs[5]，this	needs[5]，this	PRON
ajst-21770	17	68	is	be	AUX
ajst-21770	17	69	often	often	ADV
ajst-21770	17	70	highly	highly	ADV
ajst-21770	17	71	dangerous	dangerous	ADJ
ajst-21770	17	72	and	and	CCONJ
ajst-21770	17	73	time	time	NOUN
ajst-21770	17	74	-	-	PUNCT
ajst-21770	17	75	consuming	consume	VERB
ajst-21770	17	76	,	,	PUNCT
ajst-21770	17	77	and	and	CCONJ
ajst-21770	17	78	lacks	lack	VERB
ajst-21770	17	79	objectivity[6	objectivity[6	ADV
ajst-21770	17	80	]	]	PUNCT
ajst-21770	17	81	.	.	PUNCT
ajst-21770	18	1	with	with	ADP
ajst-21770	18	2	the	the	DET
ajst-21770	18	3	continuous	continuous	ADJ
ajst-21770	18	4	development	development	NOUN
ajst-21770	18	5	of	of	ADP
ajst-21770	18	6	remote	remote	ADJ
ajst-21770	18	7	sensing	sense	VERB
ajst-21770	18	8	technology	technology	NOUN
ajst-21770	18	9	,	,	PUNCT
ajst-21770	18	10	high	high	ADJ
ajst-21770	18	11	-	-	PUNCT
ajst-21770	18	12	resolution	resolution	NOUN
ajst-21770	18	13	satellite	satellite	NOUN
ajst-21770	18	14	image	image	NOUN
ajst-21770	18	15	data	datum	NOUN
ajst-21770	18	16	,	,	PUNCT
ajst-21770	18	17	characterized	characterize	VERB
ajst-21770	18	18	by	by	ADP
ajst-21770	18	19	its	its	PRON
ajst-21770	18	20	wide	wide	ADJ
ajst-21770	18	21	coverage	coverage	NOUN
ajst-21770	18	22	and	and	CCONJ
ajst-21770	18	23	long	long	ADJ
ajst-21770	18	24	-	-	PUNCT
ajst-21770	18	25	term	term	NOUN
ajst-21770	18	26	temporal	temporal	ADJ
ajst-21770	18	27	sequence	sequence	NOUN
ajst-21770	18	28	,	,	PUNCT
ajst-21770	18	29	has	have	AUX
ajst-21770	18	30	become	become	VERB
ajst-21770	18	31	an	an	DET
ajst-21770	18	32	important	important	ADJ
ajst-21770	18	33	data	datum	NOUN
ajst-21770	18	34	support	support	NOUN
ajst-21770	18	35	for	for	ADP
ajst-21770	18	36	assessing	assess	VERB
ajst-21770	18	37	the	the	DET
ajst-21770	18	38	degree	degree	NOUN
ajst-21770	18	39	of	of	ADP
ajst-21770	18	40	building	build	VERB
ajst-21770	18	41	damage	damage	NOUN
ajst-21770	18	42	.	.	PUNCT
ajst-21770	19	1	as	as	SCONJ
ajst-21770	19	2	shown	show	VERB
ajst-21770	19	3	in	in	ADP
ajst-21770	19	4	figure	figure	NOUN
ajst-21770	19	5	1	1	NUM
ajst-21770	19	6	,	,	PUNCT
ajst-21770	19	7	although	although	SCONJ
ajst-21770	19	8	remote	remote	ADJ
ajst-21770	19	9	sensing	sense	VERB
ajst-21770	19	10	image	image	NOUN
ajst-21770	19	11	data	datum	NOUN
ajst-21770	19	12	provides	provide	VERB
ajst-21770	19	13	rich	rich	ADJ
ajst-21770	19	14	information	information	NOUN
ajst-21770	19	15	and	and	CCONJ
ajst-21770	19	16	data	datum	NOUN
ajst-21770	19	17	,	,	PUNCT
ajst-21770	19	18	there	there	PRON
ajst-21770	19	19	are	be	VERB
ajst-21770	19	20	limitations	limitation	NOUN
ajst-21770	19	21	in	in	ADP
ajst-21770	19	22	the	the	DET
ajst-21770	19	23	slow	slow	ADJ
ajst-21770	19	24	extraction	extraction	NOUN
ajst-21770	19	25	of	of	ADP
ajst-21770	19	26	information	information	NOUN
ajst-21770	19	27	by	by	ADP
ajst-21770	19	28	manual	manual	ADJ
ajst-21770	19	29	analysts	analyst	NOUN
ajst-21770	19	30	,	,	PUNCT
ajst-21770	19	31	making	make	VERB
ajst-21770	19	32	it	it	PRON
ajst-21770	19	33	difficult	difficult	ADJ
ajst-21770	19	34	to	to	PART
ajst-21770	19	35	distinguish	distinguish	VERB
ajst-21770	19	36	between	between	ADP
ajst-21770	19	37	certain	certain	ADJ
ajst-21770	19	38	similar	similar	ADJ
ajst-21770	19	39	categories	category	NOUN
ajst-21770	19	40	.	.	PUNCT
ajst-21770	20	1	additionally	additionally	ADV
ajst-21770	20	2	,	,	PUNCT
ajst-21770	20	3	existing	exist	VERB
ajst-21770	20	4	research	research	NOUN
ajst-21770	20	5	is	be	AUX
ajst-21770	20	6	often	often	ADV
ajst-21770	20	7	limited	limit	VERB
ajst-21770	20	8	to	to	ADP
ajst-21770	20	9	a	a	DET
ajst-21770	20	10	single	single	ADJ
ajst-21770	20	11	disaster	disaster	NOUN
ajst-21770	20	12	type	type	NOUN
ajst-21770	20	13	,	,	PUNCT
ajst-21770	20	14	and	and	CCONJ
ajst-21770	20	15	there	there	PRON
ajst-21770	20	16	are	be	VERB
ajst-21770	20	17	no	no	DET
ajst-21770	20	18	unified	unified	ADJ
ajst-21770	20	19	standards	standard	NOUN
ajst-21770	20	20	for	for	ADP
ajst-21770	20	21	disaster	disaster	NOUN
ajst-21770	20	22	loss	loss	NOUN
ajst-21770	20	23	assessment[710	assessment[710	NOUN
ajst-21770	20	24	]	]	PUNCT
ajst-21770	20	25	,	,	PUNCT
ajst-21770	20	26	the	the	DET
ajst-21770	20	27	lack	lack	NOUN
ajst-21770	20	28	of	of	ADP
ajst-21770	20	29	accurate	accurate	ADJ
ajst-21770	20	30	guidelines	guideline	NOUN
ajst-21770	20	31	and	and	CCONJ
ajst-21770	20	32	comprehensive	comprehensive	ADJ
ajst-21770	20	33	databases	database	NOUN
ajst-21770	20	34	for	for	ADP
ajst-21770	20	35	assessing	assess	VERB
ajst-21770	20	36	the	the	DET
ajst-21770	20	37	degree	degree	NOUN
ajst-21770	20	38	of	of	ADP
ajst-21770	20	39	building	build	VERB
ajst-21770	20	40	damage	damage	NOUN
ajst-21770	20	41	across	across	ADP
ajst-21770	20	42	different	different	ADJ
ajst-21770	20	43	disaster	disaster	NOUN
ajst-21770	20	44	types	type	NOUN
ajst-21770	20	45	presents	present	VERB
ajst-21770	20	46	a	a	DET
ajst-21770	20	47	significant	significant	ADJ
ajst-21770	20	48	challenge	challenge	NOUN
ajst-21770	20	49	.	.	PUNCT
ajst-21770	21	1	therefore	therefore	ADV
ajst-21770	21	2	,	,	PUNCT
ajst-21770	21	3	utilizing	utilize	VERB
ajst-21770	21	4	artificial	artificial	ADJ
ajst-21770	21	5	intelligence	intelligence	NOUN
ajst-21770	21	6	technology	technology	NOUN
ajst-21770	21	7	to	to	PART
ajst-21770	21	8	accelerate	accelerate	VERB
ajst-21770	21	9	the	the	DET
ajst-21770	21	10	analysis	analysis	NOUN
ajst-21770	21	11	and	and	CCONJ
ajst-21770	21	12	interpretation	interpretation	NOUN
ajst-21770	21	13	of	of	ADP
ajst-21770	21	14	satellite	satellite	NOUN
ajst-21770	21	15	images	image	NOUN
ajst-21770	21	16	,	,	PUNCT
ajst-21770	21	17	reduce	reduce	VERB
ajst-21770	21	18	the	the	DET
ajst-21770	21	19	subjectivity	subjectivity	NOUN
ajst-21770	21	20	of	of	ADP
ajst-21770	21	21	visual	visual	ADJ
ajst-21770	21	22	interpretation	interpretation	NOUN
ajst-21770	21	23	,	,	PUNCT
ajst-21770	21	24	and	and	CCONJ
ajst-21770	21	25	achieve	achieve	VERB
ajst-21770	21	26	quantitative	quantitative	ADJ
ajst-21770	21	27	calculations	calculation	NOUN
ajst-21770	21	28	has	have	AUX
ajst-21770	21	29	become	become	VERB
ajst-21770	21	30	an	an	DET
ajst-21770	21	31	important	important	ADJ
ajst-21770	21	32	direction	direction	NOUN
ajst-21770	21	33	for	for	ADP
ajst-21770	21	34	improving	improve	VERB
ajst-21770	21	35	the	the	DET
ajst-21770	21	36	accuracy	accuracy	NOUN
ajst-21770	21	37	and	and	CCONJ
ajst-21770	21	38	automation	automation	NOUN
ajst-21770	21	39	of	of	ADP
ajst-21770	21	40	obtaining	obtain	VERB
ajst-21770	21	41	building	build	VERB
ajst-21770	21	42	damage	damage	NOUN
ajst-21770	21	43	information	information	NOUN
ajst-21770	21	44	.	.	PUNCT
ajst-21770	22	1	this	this	DET
ajst-21770	22	2	approach	approach	NOUN
ajst-21770	22	3	can	can	AUX
ajst-21770	22	4	help	help	VERB
ajst-21770	22	5	determine	determine	VERB
ajst-21770	22	6	damaged	damage	VERB
ajst-21770	22	7	areas	area	NOUN
ajst-21770	22	8	more	more	ADV
ajst-21770	22	9	quickly	quickly	ADV
ajst-21770	22	10	,	,	PUNCT
ajst-21770	22	11	which	which	PRON
ajst-21770	22	12	is	be	AUX
ajst-21770	22	13	crucial	crucial	ADJ
ajst-21770	22	14	for	for	ADP
ajst-21770	22	15	enhancing	enhance	VERB
ajst-21770	22	16	the	the	DET
ajst-21770	22	17	efficiency	efficiency	NOUN
ajst-21770	22	18	of	of	ADP
ajst-21770	22	19	disaster	disaster	NOUN
ajst-21770	22	20	response[6	response[6	NOUN
ajst-21770	22	21	]	]	PUNCT
ajst-21770	22	22	.	.	PUNCT
ajst-21770	23	1	figure	figure	NOUN
ajst-21770	23	2	1	1	NUM
ajst-21770	23	3	.	.	PUNCT
ajst-21770	24	1	a	a	DET
ajst-21770	24	2	pair	pair	NOUN
ajst-21770	24	3	of	of	ADP
ajst-21770	24	4	images	image	NOUN
ajst-21770	24	5	and	and	CCONJ
ajst-21770	24	6	their	their	PRON
ajst-21770	24	7	annotations	annotation	NOUN
ajst-21770	24	8	from	from	ADP
ajst-21770	24	9	the	the	DET
ajst-21770	24	10	xbd	xbd	PROPN
ajst-21770	24	11	dataset	dataset	PROPN
ajst-21770	24	12	.	.	PUNCT
ajst-21770	25	1	however	however	ADV
ajst-21770	25	2	,	,	PUNCT
ajst-21770	25	3	in	in	ADP
ajst-21770	25	4	practical	practical	ADJ
ajst-21770	25	5	applications	application	NOUN
ajst-21770	25	6	,	,	PUNCT
ajst-21770	25	7	there	there	PRON
ajst-21770	25	8	exist	exist	VERB
ajst-21770	25	9	issues	issue	NOUN
ajst-21770	25	10	of	of	ADP
ajst-21770	25	11	imaging	imaging	NOUN
ajst-21770	25	12	differences	difference	NOUN
ajst-21770	25	13	due	due	ADP
ajst-21770	25	14	to	to	ADP
ajst-21770	25	15	inconsistent	inconsistent	ADJ
ajst-21770	25	16	dual	dual	ADJ
ajst-21770	25	17	-	-	PUNCT
ajst-21770	25	18	temporal	temporal	ADJ
ajst-21770	25	19	imaging	imaging	NOUN
ajst-21770	25	20	conditions	condition	NOUN
ajst-21770	25	21	.	.	PUNCT
ajst-21770	26	1	as	as	SCONJ
ajst-21770	26	2	shown	show	VERB
ajst-21770	26	3	in	in	ADP
ajst-21770	26	4	figure	figure	NOUN
ajst-21770	26	5	1	1	NUM
ajst-21770	26	6	,	,	PUNCT
ajst-21770	26	7	two	two	NUM
ajst-21770	26	8	pairs	pair	NOUN
ajst-21770	26	9	of	of	ADP
ajst-21770	26	10	image	image	NOUN
ajst-21770	26	11	data	datum	NOUN
ajst-21770	26	12	from	from	ADP
ajst-21770	26	13	the	the	DET
ajst-21770	26	14	xbd	xbd	NOUN
ajst-21770	26	15	dataset	dataset	PROPN
ajst-21770	26	16	exhibit	exhibit	NOUN
ajst-21770	26	17	problems	problem	NOUN
ajst-21770	26	18	such	such	ADJ
ajst-21770	26	19	as	as	ADP
ajst-21770	26	20	angle	angle	NOUN
ajst-21770	26	21	shifts	shift	NOUN
ajst-21770	26	22	and	and	CCONJ
ajst-21770	26	23	color	color	NOUN
ajst-21770	26	24	differences	difference	NOUN
ajst-21770	26	25	in	in	ADP
ajst-21770	26	26	buildings	building	NOUN
ajst-21770	26	27	within	within	ADP
ajst-21770	26	28	the	the	DET
ajst-21770	26	29	imaging	imaging	NOUN
ajst-21770	26	30	space	space	NOUN
ajst-21770	26	31	due	due	ADP
ajst-21770	26	32	to	to	ADP
ajst-21770	26	33	inconsistent	inconsistent	ADJ
ajst-21770	26	34	imaging	imaging	NOUN
ajst-21770	26	35	conditions	condition	NOUN
ajst-21770	26	36	between	between	ADP
ajst-21770	26	37	pre	pre	ADJ
ajst-21770	26	38	and	and	CCONJ
ajst-21770	26	39	post	post	ADJ
ajst-21770	26	40	-	-	ADJ
ajst-21770	26	41	disaster	disaster	ADJ
ajst-21770	26	42	dual	dual	ADJ
ajst-21770	26	43	-	-	PUNCT
ajst-21770	26	44	temporal	temporal	ADJ
ajst-21770	26	45	images	image	NOUN
ajst-21770	26	46	.	.	PUNCT
ajst-21770	27	1	additionally	additionally	ADV
ajst-21770	27	2	,	,	PUNCT
ajst-21770	27	3	due	due	ADP
ajst-21770	27	4	to	to	ADP
ajst-21770	27	5	the	the	DET
ajst-21770	27	6	limitations	limitation	NOUN
ajst-21770	27	7	of	of	ADP
ajst-21770	27	8	image	image	NOUN
ajst-21770	27	9	resolution	resolution	NOUN
ajst-21770	27	10	,	,	PUNCT
ajst-21770	27	11	it	it	PRON
ajst-21770	27	12	is	be	AUX
ajst-21770	27	13	difficult	difficult	ADJ
ajst-21770	27	14	to	to	PART
ajst-21770	27	15	accurately	accurately	ADV
ajst-21770	27	16	assess	assess	VERB
ajst-21770	27	17	the	the	DET
ajst-21770	27	18	degree	degree	NOUN
ajst-21770	27	19	of	of	ADP
ajst-21770	27	20	damage	damage	NOUN
ajst-21770	27	21	that	that	PRON
ajst-21770	27	22	exhibits	exhibit	VERB
ajst-21770	27	23	visual	visual	ADJ
ajst-21770	27	24	similarity	similarity	NOUN
ajst-21770	27	25	solely	solely	ADV
ajst-21770	27	26	through	through	ADP
ajst-21770	27	27	visual	visual	ADJ
ajst-21770	27	28	interpretation	interpretation	NOUN
ajst-21770	27	29	.	.	PUNCT
ajst-21770	28	1	in	in	ADP
ajst-21770	28	2	summary	summary	NOUN
ajst-21770	28	3	,	,	PUNCT
ajst-21770	28	4	for	for	ADP
ajst-21770	28	5	the	the	DET
ajst-21770	28	6	interference	interference	NOUN
ajst-21770	28	7	in	in	ADP
ajst-21770	28	8	the	the	DET
ajst-21770	28	9	extraction	extraction	NOUN
ajst-21770	28	10	of	of	ADP
ajst-21770	28	11	115	115	NUM
ajst-21770	28	12	damage	damage	NOUN
ajst-21770	28	13	features	feature	NOUN
ajst-21770	28	14	caused	cause	VERB
ajst-21770	28	15	by	by	ADP
ajst-21770	28	16	imaging	image	VERB
ajst-21770	28	17	differences	difference	NOUN
ajst-21770	28	18	due	due	ADP
ajst-21770	28	19	to	to	ADP
ajst-21770	28	20	differences	difference	NOUN
ajst-21770	28	21	in	in	ADP
ajst-21770	28	22	shooting	shooting	NOUN
ajst-21770	28	23	time	time	NOUN
ajst-21770	28	24	,	,	PUNCT
ajst-21770	28	25	shooting	shooting	NOUN
ajst-21770	28	26	angle	angle	NOUN
ajst-21770	28	27	,	,	PUNCT
ajst-21770	28	28	sensors	sensor	NOUN
ajst-21770	28	29	,	,	PUNCT
ajst-21770	28	30	etc	etc	X
ajst-21770	28	31	.	.	X
ajst-21770	28	32	between	between	ADP
ajst-21770	28	33	pre	pre	ADJ
ajst-21770	28	34	-	-	NOUN
ajst-21770	28	35	disaster	disaster	ADJ
ajst-21770	28	36	and	and	CCONJ
ajst-21770	28	37	post	post	ADJ
ajst-21770	28	38	-	-	ADJ
ajst-21770	28	39	disaster	disaster	ADJ
ajst-21770	28	40	images	image	NOUN
ajst-21770	28	41	in	in	ADP
ajst-21770	28	42	the	the	DET
ajst-21770	28	43	method	method	NOUN
ajst-21770	28	44	of	of	ADP
ajst-21770	28	45	identifying	identify	VERB
ajst-21770	28	46	the	the	DET
ajst-21770	28	47	degree	degree	NOUN
ajst-21770	28	48	of	of	ADP
ajst-21770	28	49	building	build	VERB
ajst-21770	28	50	damage	damage	NOUN
ajst-21770	28	51	based	base	VERB
ajst-21770	28	52	on	on	ADP
ajst-21770	28	53	dualtemporal	dualtemporal	ADJ
ajst-21770	28	54	phase	phase	NOUN
ajst-21770	28	55	,	,	PUNCT
ajst-21770	28	56	this	this	DET
ajst-21770	28	57	paper	paper	NOUN
ajst-21770	28	58	constructs	construct	VERB
ajst-21770	28	59	a	a	DET
ajst-21770	28	60	dual	dual	ADJ
ajst-21770	28	61	cross	cross	ADJ
ajst-21770	28	62	-	-	ADJ
ajst-21770	28	63	attention	attention	ADJ
ajst-21770	28	64	model	model	NOUN
ajst-21770	28	65	(	(	PUNCT
ajst-21770	28	66	dual	dual	ADJ
ajst-21770	28	67	-	-	PUNCT
ajst-21770	28	68	exchange	exchange	NOUN
ajst-21770	28	69	-	-	PUNCT
ajst-21770	28	70	attention	attention	NOUN
ajst-21770	28	71	u	u	NOUN
ajst-21770	28	72	-	-	NOUN
ajst-21770	28	73	net	net	ADJ
ajst-21770	28	74	,	,	PUNCT
ajst-21770	28	75	deru	deru	PROPN
ajst-21770	28	76	-	-	PUNCT
ajst-21770	28	77	net	net	PROPN
ajst-21770	28	78	)	)	PUNCT
ajst-21770	28	79	,	,	PUNCT
ajst-21770	28	80	to	to	PART
ajst-21770	28	81	achieve	achieve	VERB
ajst-21770	28	82	end	end	NOUN
ajst-21770	28	83	-	-	PUNCT
ajst-21770	28	84	to	to	ADP
ajst-21770	28	85	-	-	PUNCT
ajst-21770	28	86	end	end	NOUN
ajst-21770	28	87	evaluation	evaluation	NOUN
ajst-21770	28	88	of	of	ADP
ajst-21770	28	89	building	building	NOUN
ajst-21770	28	90	damage	damage	NOUN
ajst-21770	28	91	,	,	PUNCT
ajst-21770	28	92	the	the	DET
ajst-21770	28	93	specific	specific	ADJ
ajst-21770	28	94	contributions	contribution	NOUN
ajst-21770	28	95	are	be	AUX
ajst-21770	28	96	summarized	summarize	VERB
ajst-21770	28	97	as	as	SCONJ
ajst-21770	28	98	follows	follow	VERB
ajst-21770	28	99	:	:	PUNCT
ajst-21770	28	100	to	to	PART
ajst-21770	28	101	mitigate	mitigate	VERB
ajst-21770	28	102	the	the	DET
ajst-21770	28	103	issue	issue	NOUN
ajst-21770	28	104	of	of	ADP
ajst-21770	28	105	different	different	ADJ
ajst-21770	28	106	imaging	imaging	NOUN
ajst-21770	28	107	styles	style	NOUN
ajst-21770	28	108	in	in	ADP
ajst-21770	28	109	dualtemporal	dualtemporal	ADJ
ajst-21770	28	110	data	datum	NOUN
ajst-21770	28	111	caused	cause	VERB
ajst-21770	28	112	by	by	ADP
ajst-21770	28	113	varying	vary	VERB
ajst-21770	28	114	imaging	imaging	NOUN
ajst-21770	28	115	conditions	condition	NOUN
ajst-21770	28	116	,	,	PUNCT
ajst-21770	28	117	an	an	DET
ajst-21770	28	118	attempt	attempt	NOUN
ajst-21770	28	119	was	be	AUX
ajst-21770	28	120	made	make	VERB
ajst-21770	28	121	to	to	PART
ajst-21770	28	122	employ	employ	VERB
ajst-21770	28	123	fast	fast	ADJ
ajst-21770	28	124	fourier	fourier	NOUN
ajst-21770	28	125	transform	transform	NOUN
ajst-21770	28	126	(	(	PUNCT
ajst-21770	28	127	fft	fft	PROPN
ajst-21770	28	128	)	)	PUNCT
ajst-21770	28	129	for	for	ADP
ajst-21770	28	130	style	style	NOUN
ajst-21770	28	131	unification	unification	NOUN
ajst-21770	28	132	,	,	PUNCT
ajst-21770	28	133	aiming	aim	VERB
ajst-21770	28	134	to	to	PART
ajst-21770	28	135	reduce	reduce	VERB
ajst-21770	28	136	such	such	ADJ
ajst-21770	28	137	impacts	impact	NOUN
ajst-21770	28	138	.	.	PUNCT
ajst-21770	29	1	1	1	NUM
ajst-21770	29	2	)	)	PUNCT
ajst-21770	29	3	to	to	PART
ajst-21770	29	4	mitigate	mitigate	VERB
ajst-21770	29	5	the	the	DET
ajst-21770	29	6	issue	issue	NOUN
ajst-21770	29	7	of	of	ADP
ajst-21770	29	8	different	different	ADJ
ajst-21770	29	9	imaging	imaging	NOUN
ajst-21770	29	10	styles	style	NOUN
ajst-21770	29	11	in	in	ADP
ajst-21770	29	12	dualtemporal	dualtemporal	ADJ
ajst-21770	29	13	data	datum	NOUN
ajst-21770	29	14	caused	cause	VERB
ajst-21770	29	15	by	by	ADP
ajst-21770	29	16	varying	vary	VERB
ajst-21770	29	17	imaging	imaging	NOUN
ajst-21770	29	18	conditions	condition	NOUN
ajst-21770	29	19	,	,	PUNCT
ajst-21770	29	20	an	an	DET
ajst-21770	29	21	attempt	attempt	NOUN
ajst-21770	29	22	was	be	AUX
ajst-21770	29	23	made	make	VERB
ajst-21770	29	24	to	to	PART
ajst-21770	29	25	employ	employ	VERB
ajst-21770	29	26	fast	fast	ADJ
ajst-21770	29	27	fourier	fourier	NOUN
ajst-21770	29	28	transform	transform	NOUN
ajst-21770	29	29	(	(	PUNCT
ajst-21770	29	30	fft	fft	PROPN
ajst-21770	29	31	)	)	PUNCT
ajst-21770	29	32	for	for	ADP
ajst-21770	29	33	style	style	NOUN
ajst-21770	29	34	unification	unification	NOUN
ajst-21770	29	35	,	,	PUNCT
ajst-21770	29	36	aiming	aim	VERB
ajst-21770	29	37	to	to	PART
ajst-21770	29	38	reduce	reduce	VERB
ajst-21770	29	39	such	such	ADJ
ajst-21770	29	40	impacts	impact	NOUN
ajst-21770	29	41	.	.	PUNCT
ajst-21770	30	1	2	2	X
ajst-21770	30	2	)	)	PUNCT
ajst-21770	30	3	a	a	DET
ajst-21770	30	4	dual	dual	ADJ
ajst-21770	30	5	-	-	PUNCT
ajst-21770	30	6	temporal	temporal	ADJ
ajst-21770	30	7	feature	feature	NOUN
ajst-21770	30	8	fusion	fusion	NOUN
ajst-21770	30	9	module	module	NOUN
ajst-21770	30	10	(	(	PUNCT
ajst-21770	30	11	dfma	dfma	PROPN
ajst-21770	30	12	)	)	PUNCT
ajst-21770	30	13	is	be	AUX
ajst-21770	30	14	proposed	propose	VERB
ajst-21770	30	15	to	to	PART
ajst-21770	30	16	effectively	effectively	ADV
ajst-21770	30	17	integrate	integrate	VERB
ajst-21770	30	18	pre	pre	ADJ
ajst-21770	30	19	-	-	NOUN
ajst-21770	30	20	disaster	disaster	ADJ
ajst-21770	30	21	and	and	CCONJ
ajst-21770	30	22	postdisaster	postdisaster	ADJ
ajst-21770	30	23	feature	feature	NOUN
ajst-21770	30	24	maps	map	NOUN
ajst-21770	30	25	.	.	PUNCT
ajst-21770	31	1	by	by	ADP
ajst-21770	31	2	fusing	fuse	VERB
ajst-21770	31	3	these	these	DET
ajst-21770	31	4	dual	dual	ADJ
ajst-21770	31	5	-	-	PUNCT
ajst-21770	31	6	temporal	temporal	ADJ
ajst-21770	31	7	feature	feature	NOUN
ajst-21770	31	8	maps	map	NOUN
ajst-21770	31	9	,	,	PUNCT
ajst-21770	31	10	the	the	DET
ajst-21770	31	11	feature	feature	NOUN
ajst-21770	31	12	representation	representation	NOUN
ajst-21770	31	13	is	be	AUX
ajst-21770	31	14	enhanced	enhance	VERB
ajst-21770	31	15	.	.	PUNCT
ajst-21770	32	1	3	3	X
ajst-21770	32	2	)	)	PUNCT
ajst-21770	32	3	an	an	DET
ajst-21770	32	4	end	end	NOUN
ajst-21770	32	5	-	-	PUNCT
ajst-21770	32	6	to	to	ADP
ajst-21770	32	7	-	-	PUNCT
ajst-21770	32	8	end	end	VERB
ajst-21770	32	9	convolutional	convolutional	ADJ
ajst-21770	32	10	neural	neural	ADJ
ajst-21770	32	11	network	network	NOUN
ajst-21770	32	12	is	be	AUX
ajst-21770	32	13	proposed	propose	VERB
ajst-21770	32	14	for	for	ADP
ajst-21770	32	15	evaluating	evaluate	VERB
ajst-21770	32	16	the	the	DET
ajst-21770	32	17	extent	extent	NOUN
ajst-21770	32	18	of	of	ADP
ajst-21770	32	19	building	build	VERB
ajst-21770	32	20	damage	damage	NOUN
ajst-21770	32	21	and	and	CCONJ
ajst-21770	32	22	locating	locate	VERB
ajst-21770	32	23	the	the	DET
ajst-21770	32	24	buildings	building	NOUN
ajst-21770	32	25	.	.	PUNCT
ajst-21770	33	1	2	2	X
ajst-21770	33	2	.	.	X
ajst-21770	33	3	related	relate	VERB
ajst-21770	33	4	work	work	NOUN
ajst-21770	33	5	2.1	2.1	NUM
ajst-21770	33	6	.	.	PUNCT
ajst-21770	34	1	a	a	DET
ajst-21770	34	2	comprehensive	comprehensive	ADJ
ajst-21770	34	3	review	review	NOUN
ajst-21770	34	4	of	of	ADP
ajst-21770	34	5	building	build	VERB
ajst-21770	34	6	damage	damage	NOUN
ajst-21770	34	7	assessment	assessment	NOUN
ajst-21770	34	8	current	current	ADJ
ajst-21770	34	9	methods	method	NOUN
ajst-21770	34	10	for	for	ADP
ajst-21770	34	11	identifying	identify	VERB
ajst-21770	34	12	the	the	DET
ajst-21770	34	13	degree	degree	NOUN
ajst-21770	34	14	of	of	ADP
ajst-21770	34	15	building	building	NOUN
ajst-21770	34	16	damage	damage	NOUN
ajst-21770	34	17	can	can	AUX
ajst-21770	34	18	be	be	AUX
ajst-21770	34	19	divided	divide	VERB
ajst-21770	34	20	into	into	ADP
ajst-21770	34	21	two	two	NUM
ajst-21770	34	22	categories	category	NOUN
ajst-21770	34	23	based	base	VERB
ajst-21770	34	24	on	on	ADP
ajst-21770	34	25	whether	whether	SCONJ
ajst-21770	34	26	pre	pre	ADJ
ajst-21770	34	27	-	-	ADJ
ajst-21770	34	28	disaster	disaster	ADJ
ajst-21770	34	29	images	image	NOUN
ajst-21770	34	30	are	be	AUX
ajst-21770	34	31	referenced	reference	VERB
ajst-21770	34	32	:	:	PUNCT
ajst-21770	34	33	methods	method	NOUN
ajst-21770	34	34	for	for	ADP
ajst-21770	34	35	identifying	identify	VERB
ajst-21770	34	36	building	building	NOUN
ajst-21770	34	37	damage	damage	NOUN
ajst-21770	34	38	degree	degree	NOUN
ajst-21770	34	39	based	base	VERB
ajst-21770	34	40	on	on	ADP
ajst-21770	34	41	single	single	ADJ
ajst-21770	34	42	-	-	PUNCT
ajst-21770	34	43	temporal	temporal	ADJ
ajst-21770	34	44	images	image	NOUN
ajst-21770	34	45	and	and	CCONJ
ajst-21770	34	46	methods	method	NOUN
ajst-21770	34	47	for	for	ADP
ajst-21770	34	48	identifying	identify	VERB
ajst-21770	34	49	building	building	NOUN
ajst-21770	34	50	damage	damage	NOUN
ajst-21770	34	51	degree	degree	NOUN
ajst-21770	34	52	based	base	VERB
ajst-21770	34	53	on	on	ADP
ajst-21770	34	54	dual	dual	ADJ
ajst-21770	34	55	-	-	PUNCT
ajst-21770	34	56	temporal	temporal	ADJ
ajst-21770	34	57	images	image	NOUN
ajst-21770	34	58	:	:	PUNCT
ajst-21770	34	59	(	(	PUNCT
ajst-21770	34	60	1	1	X
ajst-21770	34	61	)	)	PUNCT
ajst-21770	34	62	the	the	DET
ajst-21770	34	63	method	method	NOUN
ajst-21770	34	64	for	for	ADP
ajst-21770	34	65	identifying	identify	VERB
ajst-21770	34	66	the	the	DET
ajst-21770	34	67	degree	degree	NOUN
ajst-21770	34	68	of	of	ADP
ajst-21770	34	69	building	build	VERB
ajst-21770	34	70	damage	damage	NOUN
ajst-21770	34	71	based	base	VERB
ajst-21770	34	72	on	on	ADP
ajst-21770	34	73	single	single	ADJ
ajst-21770	34	74	-	-	PUNCT
ajst-21770	34	75	temporal	temporal	ADJ
ajst-21770	34	76	images	image	NOUN
ajst-21770	34	77	adopts	adopt	VERB
ajst-21770	34	78	the	the	DET
ajst-21770	34	79	idea	idea	NOUN
ajst-21770	34	80	of	of	ADP
ajst-21770	34	81	semantic	semantic	ADJ
ajst-21770	34	82	segmentation	segmentation	NOUN
ajst-21770	34	83	,	,	PUNCT
ajst-21770	34	84	using	use	VERB
ajst-21770	34	85	high	high	ADJ
ajst-21770	34	86	-	-	PUNCT
ajst-21770	34	87	resolution	resolution	NOUN
ajst-21770	34	88	remote	remote	ADJ
ajst-21770	34	89	sensing	sensing	NOUN
ajst-21770	34	90	(	(	PUNCT
ajst-21770	34	91	very	very	ADV
ajst-21770	34	92	high	high	ADJ
ajst-21770	34	93	resolution	resolution	NOUN
ajst-21770	34	94	,	,	PUNCT
ajst-21770	34	95	vhr	vhr	NOUN
ajst-21770	34	96	)	)	PUNCT
ajst-21770	34	97	image	image	NOUN
ajst-21770	34	98	data	datum	NOUN
ajst-21770	34	99	after	after	ADP
ajst-21770	34	100	disasters	disaster	NOUN
ajst-21770	34	101	with	with	ADP
ajst-21770	34	102	detailed	detailed	ADJ
ajst-21770	34	103	texture	texture	ADJ
ajst-21770	34	104	information	information	NOUN
ajst-21770	34	105	and	and	CCONJ
ajst-21770	34	106	contextual	contextual	ADJ
ajst-21770	34	107	information	information	NOUN
ajst-21770	34	108	as	as	ADP
ajst-21770	34	109	the	the	DET
ajst-21770	34	110	input	input	NOUN
ajst-21770	34	111	of	of	ADP
ajst-21770	34	112	the	the	DET
ajst-21770	34	113	network	network	NOUN
ajst-21770	34	114	.	.	PUNCT
ajst-21770	35	1	by	by	ADP
ajst-21770	35	2	detecting	detect	VERB
ajst-21770	35	3	various	various	ADJ
ajst-21770	35	4	features	feature	NOUN
ajst-21770	35	5	in	in	ADP
ajst-21770	35	6	the	the	DET
ajst-21770	35	7	images	image	NOUN
ajst-21770	35	8	such	such	ADJ
ajst-21770	35	9	as	as	ADP
ajst-21770	35	10	the	the	DET
ajst-21770	35	11	changed	change	VERB
ajst-21770	35	12	spectrum	spectrum	NOUN
ajst-21770	35	13	,	,	PUNCT
ajst-21770	35	14	texture	texture	NOUN
ajst-21770	35	15	,	,	PUNCT
ajst-21770	35	16	edges	edge	NOUN
ajst-21770	35	17	,	,	PUNCT
ajst-21770	35	18	spatial	spatial	ADJ
ajst-21770	35	19	relationships	relationship	NOUN
ajst-21770	35	20	,	,	PUNCT
ajst-21770	35	21	structure	structure	NOUN
ajst-21770	35	22	,	,	PUNCT
ajst-21770	35	23	shape	shape	NOUN
ajst-21770	35	24	,	,	PUNCT
ajst-21770	35	25	and	and	CCONJ
ajst-21770	35	26	shadows	shadow	NOUN
ajst-21770	35	27	of	of	ADP
ajst-21770	35	28	buildings	building	NOUN
ajst-21770	35	29	due	due	ADJ
ajst-21770	35	30	to	to	ADP
ajst-21770	35	31	damage	damage	NOUN
ajst-21770	35	32	,	,	PUNCT
ajst-21770	35	33	the	the	DET
ajst-21770	35	34	identification	identification	NOUN
ajst-21770	35	35	of	of	ADP
ajst-21770	35	36	the	the	DET
ajst-21770	35	37	degree	degree	NOUN
ajst-21770	35	38	of	of	ADP
ajst-21770	35	39	building	building	NOUN
ajst-21770	35	40	damage	damage	NOUN
ajst-21770	35	41	is	be	AUX
ajst-21770	35	42	achieved[11	achieved[11	ADV
ajst-21770	35	43	,	,	PUNCT
ajst-21770	35	44	12	12	NUM
ajst-21770	35	45	]	]	PUNCT
ajst-21770	35	46	.	.	PUNCT
ajst-21770	36	1	sumer	sumer	PROPN
ajst-21770	36	2	ed.al[13	ed.al[13	PROPN
ajst-21770	36	3	]	]	X
ajst-21770	36	4	the	the	DET
ajst-21770	36	5	buildings	building	NOUN
ajst-21770	36	6	are	be	AUX
ajst-21770	36	7	extracted	extract	VERB
ajst-21770	36	8	from	from	ADP
ajst-21770	36	9	the	the	DET
ajst-21770	36	10	post	post	ADJ
ajst-21770	36	11	-	-	ADJ
ajst-21770	36	12	disaster	disaster	ADJ
ajst-21770	36	13	images	image	NOUN
ajst-21770	36	14	using	use	VERB
ajst-21770	36	15	building	build	VERB
ajst-21770	36	16	vector	vector	NOUN
ajst-21770	36	17	maps	map	NOUN
ajst-21770	36	18	.	.	PUNCT
ajst-21770	37	1	then	then	ADV
ajst-21770	37	2	,	,	PUNCT
ajst-21770	37	3	the	the	DET
ajst-21770	37	4	damage	damage	NOUN
ajst-21770	37	5	status	status	NOUN
ajst-21770	37	6	of	of	ADP
ajst-21770	37	7	the	the	DET
ajst-21770	37	8	buildings	building	NOUN
ajst-21770	37	9	is	be	AUX
ajst-21770	37	10	determined	determine	VERB
ajst-21770	37	11	based	base	VERB
ajst-21770	37	12	on	on	ADP
ajst-21770	37	13	the	the	DET
ajst-21770	37	14	pixel	pixel	PROPN
ajst-21770	37	15	value	value	NOUN
ajst-21770	37	16	differences	difference	NOUN
ajst-21770	37	17	and	and	CCONJ
ajst-21770	37	18	gradient	gradient	NOUN
ajst-21770	37	19	direction	direction	NOUN
ajst-21770	37	20	differences	difference	NOUN
ajst-21770	37	21	between	between	ADP
ajst-21770	37	22	intact	intact	ADJ
ajst-21770	37	23	buildings	building	NOUN
ajst-21770	37	24	and	and	CCONJ
ajst-21770	37	25	damaged	damage	VERB
ajst-21770	37	26	buildings.ye	buildings.ye	NUM
ajst-21770	37	27	et	et	NOUN
ajst-21770	37	28	al[14	al[14	PROPN
ajst-21770	37	29	]	]	PUNCT
ajst-21770	37	30	first	first	ADV
ajst-21770	37	31	determined	determine	VERB
ajst-21770	37	32	the	the	DET
ajst-21770	37	33	locations	location	NOUN
ajst-21770	37	34	of	of	ADP
ajst-21770	37	35	building	build	VERB
ajst-21770	37	36	objects	object	NOUN
ajst-21770	37	37	in	in	ADP
ajst-21770	37	38	the	the	DET
ajst-21770	37	39	post	post	ADJ
ajst-21770	37	40	-	-	ADJ
ajst-21770	37	41	disaster	disaster	ADJ
ajst-21770	37	42	images	image	NOUN
ajst-21770	37	43	using	use	VERB
ajst-21770	37	44	building	build	VERB
ajst-21770	37	45	vector	vector	NOUN
ajst-21770	37	46	maps	map	NOUN
ajst-21770	37	47	.	.	PUNCT
ajst-21770	38	1	then	then	ADV
ajst-21770	38	2	,	,	PUNCT
ajst-21770	38	3	they	they	PRON
ajst-21770	38	4	considered	consider	VERB
ajst-21770	38	5	both	both	CCONJ
ajst-21770	38	6	the	the	DET
ajst-21770	38	7	boundary	boundary	ADJ
ajst-21770	38	8	integrity	integrity	NOUN
ajst-21770	38	9	index	index	NOUN
ajst-21770	38	10	(	(	PUNCT
ajst-21770	38	11	es	es	NOUN
ajst-21770	38	12	)	)	PUNCT
ajst-21770	38	13	and	and	CCONJ
ajst-21770	38	14	the	the	DET
ajst-21770	38	15	roof	roof	NOUN
ajst-21770	38	16	integrity	integrity	NOUN
ajst-21770	38	17	index	index	NOUN
ajst-21770	38	18	(	(	PUNCT
ajst-21770	38	19	loe	loe	NOUN
ajst-21770	38	20	)	)	PUNCT
ajst-21770	38	21	of	of	ADP
ajst-21770	38	22	the	the	DET
ajst-21770	38	23	building	building	NOUN
ajst-21770	38	24	objects	object	NOUN
ajst-21770	38	25	.	.	PUNCT
ajst-21770	39	1	finally	finally	ADV
ajst-21770	39	2	,	,	PUNCT
ajst-21770	39	3	a	a	DET
ajst-21770	39	4	building	building	NOUN
ajst-21770	39	5	object	object	NOUN
ajst-21770	39	6	was	be	AUX
ajst-21770	39	7	only	only	ADV
ajst-21770	39	8	determined	determine	VERB
ajst-21770	39	9	as	as	SCONJ
ajst-21770	39	10	damaged	damage	VERB
ajst-21770	39	11	when	when	SCONJ
ajst-21770	39	12	both	both	DET
ajst-21770	39	13	indices	index	NOUN
ajst-21770	39	14	indicated	indicate	VERB
ajst-21770	39	15	damage.rudner	damage.rudner	PROPN
ajst-21770	39	16	et	et	NOUN
ajst-21770	39	17	al[15	al[15	PROPN
ajst-21770	39	18	]	]	PUNCT
ajst-21770	39	19	proposed	propose	VERB
ajst-21770	39	20	a	a	DET
ajst-21770	39	21	method	method	NOUN
ajst-21770	39	22	for	for	ADP
ajst-21770	39	23	extracting	extract	VERB
ajst-21770	39	24	damaged	damage	VERB
ajst-21770	39	25	buildings	building	NOUN
ajst-21770	39	26	based	base	VERB
ajst-21770	39	27	on	on	ADP
ajst-21770	39	28	a	a	DET
ajst-21770	39	29	semantic	semantic	ADJ
ajst-21770	39	30	segmentation	segmentation	NOUN
ajst-21770	39	31	model	model	NOUN
ajst-21770	39	32	,	,	PUNCT
ajst-21770	39	33	which	which	PRON
ajst-21770	39	34	can	can	AUX
ajst-21770	39	35	directly	directly	ADV
ajst-21770	39	36	obtain	obtain	VERB
ajst-21770	39	37	pixel	pixel	ADJ
ajst-21770	39	38	-	-	PUNCT
ajst-21770	39	39	level	level	NOUN
ajst-21770	39	40	interpretation	interpretation	NOUN
ajst-21770	39	41	results	result	NOUN
ajst-21770	39	42	of	of	ADP
ajst-21770	39	43	damaged	damage	VERB
ajst-21770	39	44	buildings	building	NOUN
ajst-21770	39	45	from	from	ADP
ajst-21770	39	46	the	the	DET
ajst-21770	39	47	input	input	NOUN
ajst-21770	39	48	post	post	ADJ
ajst-21770	39	49	-	-	ADJ
ajst-21770	39	50	disaster	disaster	ADJ
ajst-21770	39	51	images	image	NOUN
ajst-21770	39	52	.	.	PUNCT
ajst-21770	40	1	however	however	ADV
ajst-21770	40	2	,	,	PUNCT
ajst-21770	40	3	in	in	ADP
ajst-21770	40	4	the	the	DET
ajst-21770	40	5	case	case	NOUN
ajst-21770	40	6	of	of	ADP
ajst-21770	40	7	large	large	ADJ
ajst-21770	40	8	-	-	PUNCT
ajst-21770	40	9	scale	scale	NOUN
ajst-21770	40	10	disasters	disaster	NOUN
ajst-21770	40	11	,	,	PUNCT
ajst-21770	40	12	where	where	SCONJ
ajst-21770	40	13	buildings	building	NOUN
ajst-21770	40	14	are	be	AUX
ajst-21770	40	15	severely	severely	ADV
ajst-21770	40	16	damaged	damage	VERB
ajst-21770	40	17	to	to	ADP
ajst-21770	40	18	the	the	DET
ajst-21770	40	19	point	point	NOUN
ajst-21770	40	20	that	that	SCONJ
ajst-21770	40	21	boundary	boundary	ADJ
ajst-21770	40	22	information	information	NOUN
ajst-21770	40	23	is	be	AUX
ajst-21770	40	24	no	no	ADV
ajst-21770	40	25	longer	long	ADV
ajst-21770	40	26	present	present	ADJ
ajst-21770	40	27	,	,	PUNCT
ajst-21770	40	28	these	these	DET
ajst-21770	40	29	buildings	building	NOUN
ajst-21770	40	30	appear	appear	VERB
ajst-21770	40	31	as	as	ADV
ajst-21770	40	32	weakly	weakly	ADV
ajst-21770	40	33	defined	define	VERB
ajst-21770	40	34	targets	target	NOUN
ajst-21770	40	35	with	with	ADP
ajst-21770	40	36	blurred	blurred	ADJ
ajst-21770	40	37	boundaries	boundary	NOUN
ajst-21770	40	38	that	that	PRON
ajst-21770	40	39	are	be	AUX
ajst-21770	40	40	easily	easily	ADV
ajst-21770	40	41	drowned	drown	VERB
ajst-21770	40	42	out	out	ADP
ajst-21770	40	43	in	in	ADP
ajst-21770	40	44	complex	complex	ADJ
ajst-21770	40	45	background	background	NOUN
ajst-21770	40	46	environments	environment	NOUN
ajst-21770	40	47	.	.	PUNCT
ajst-21770	41	1	therefore	therefore	ADV
ajst-21770	41	2	,	,	PUNCT
ajst-21770	41	3	the	the	DET
ajst-21770	41	4	rates	rate	NOUN
ajst-21770	41	5	of	of	ADP
ajst-21770	41	6	false	false	ADJ
ajst-21770	41	7	positives	positive	NOUN
ajst-21770	41	8	and	and	CCONJ
ajst-21770	41	9	missed	miss	VERB
ajst-21770	41	10	detections	detection	NOUN
ajst-21770	41	11	are	be	AUX
ajst-21770	41	12	relatively	relatively	ADV
ajst-21770	41	13	high	high	ADJ
ajst-21770	41	14	.	.	PUNCT
ajst-21770	42	1	(	(	PUNCT
ajst-21770	42	2	2	2	X
ajst-21770	42	3	)	)	PUNCT
ajst-21770	42	4	the	the	DET
ajst-21770	42	5	method	method	NOUN
ajst-21770	42	6	of	of	ADP
ajst-21770	42	7	identifying	identify	VERB
ajst-21770	42	8	the	the	DET
ajst-21770	42	9	degree	degree	NOUN
ajst-21770	42	10	of	of	ADP
ajst-21770	42	11	building	build	VERB
ajst-21770	42	12	damage	damage	NOUN
ajst-21770	42	13	based	base	VERB
ajst-21770	42	14	on	on	ADP
ajst-21770	42	15	double	double	ADJ
ajst-21770	42	16	temporal	temporal	ADJ
ajst-21770	42	17	phases	phase	NOUN
ajst-21770	42	18	adopts	adopt	VERB
ajst-21770	42	19	the	the	DET
ajst-21770	42	20	research	research	NOUN
ajst-21770	42	21	idea	idea	NOUN
ajst-21770	42	22	of	of	ADP
ajst-21770	42	23	change	change	NOUN
ajst-21770	42	24	detection	detection	NOUN
ajst-21770	42	25	,	,	PUNCT
ajst-21770	42	26	usually	usually	ADV
ajst-21770	42	27	using	use	VERB
ajst-21770	42	28	the	the	DET
ajst-21770	42	29	method	method	NOUN
ajst-21770	42	30	of	of	ADP
ajst-21770	42	31	image	image	NOUN
ajst-21770	42	32	enhancement	enhancement	NOUN
ajst-21770	42	33	and	and	CCONJ
ajst-21770	42	34	post	post	ADJ
ajst-21770	42	35	-	-	ADJ
ajst-21770	42	36	classification	classification	ADJ
ajst-21770	42	37	comparison	comparison	NOUN
ajst-21770	42	38	to	to	PART
ajst-21770	42	39	obtain	obtain	VERB
ajst-21770	42	40	the	the	DET
ajst-21770	42	41	state	state	NOUN
ajst-21770	42	42	differences	difference	NOUN
ajst-21770	42	43	of	of	ADP
ajst-21770	42	44	buildings	building	NOUN
ajst-21770	42	45	in	in	ADP
ajst-21770	42	46	different	different	ADJ
ajst-21770	42	47	temporal	temporal	ADJ
ajst-21770	42	48	phases	phase	NOUN
ajst-21770	42	49	,	,	PUNCT
ajst-21770	42	50	thus	thus	ADV
ajst-21770	42	51	analyzing	analyze	VERB
ajst-21770	42	52	and	and	CCONJ
ajst-21770	42	53	identifying	identify	VERB
ajst-21770	42	54	the	the	DET
ajst-21770	42	55	degree	degree	NOUN
ajst-21770	42	56	of	of	ADP
ajst-21770	42	57	building	building	NOUN
ajst-21770	42	58	damage[16	damage[16	NOUN
ajst-21770	42	59	,	,	PUNCT
ajst-21770	42	60	17	17	NUM
ajst-21770	42	61	]	]	PUNCT
ajst-21770	42	62	.	.	PUNCT
ajst-21770	43	1	the	the	DET
ajst-21770	43	2	most	most	ADV
ajst-21770	43	3	commonly	commonly	ADV
ajst-21770	43	4	used	use	VERB
ajst-21770	43	5	approach	approach	NOUN
ajst-21770	43	6	for	for	ADP
ajst-21770	43	7	conducting	conduct	VERB
ajst-21770	43	8	building	build	VERB
ajst-21770	43	9	damage	damage	NOUN
ajst-21770	43	10	assessment	assessment	NOUN
ajst-21770	43	11	tasks	task	NOUN
ajst-21770	43	12	is	be	AUX
ajst-21770	43	13	based	base	VERB
ajst-21770	43	14	on	on	ADP
ajst-21770	43	15	temporal	temporal	ADJ
ajst-21770	43	16	data	datum	NOUN
ajst-21770	43	17	.	.	PUNCT
ajst-21770	44	1	compared	compare	VERB
ajst-21770	44	2	to	to	ADP
ajst-21770	44	3	single	single	ADJ
ajst-21770	44	4	-	-	PUNCT
ajst-21770	44	5	temporal	temporal	ADJ
ajst-21770	44	6	phase	phase	NOUN
ajst-21770	44	7	methods	method	NOUN
ajst-21770	44	8	for	for	ADP
ajst-21770	44	9	building	build	VERB
ajst-21770	44	10	damage	damage	NOUN
ajst-21770	44	11	identification	identification	NOUN
ajst-21770	44	12	,	,	PUNCT
ajst-21770	44	13	the	the	DET
ajst-21770	44	14	dual	dual	ADJ
ajst-21770	44	15	-	-	PUNCT
ajst-21770	44	16	temporal	temporal	ADJ
ajst-21770	44	17	phase	phase	NOUN
ajst-21770	44	18	method	method	NOUN
ajst-21770	44	19	not	not	PART
ajst-21770	44	20	only	only	ADV
ajst-21770	44	21	requires	require	VERB
ajst-21770	44	22	identifying	identify	VERB
ajst-21770	44	23	changed	change	VERB
ajst-21770	44	24	areas	area	NOUN
ajst-21770	44	25	(	(	PUNCT
ajst-21770	44	26	i.e.	i.e.	X
ajst-21770	44	27	,	,	PUNCT
ajst-21770	44	28	damaged	damaged	ADJ
ajst-21770	44	29	buildings	building	NOUN
ajst-21770	44	30	)	)	PUNCT
ajst-21770	44	31	but	but	CCONJ
ajst-21770	44	32	also	also	ADV
ajst-21770	44	33	non	non	ADJ
ajst-21770	44	34	-	-	ADJ
ajst-21770	44	35	changed	changed	ADJ
ajst-21770	44	36	areas	area	NOUN
ajst-21770	44	37	(	(	PUNCT
ajst-21770	44	38	i.e.	i.e.	X
ajst-21770	44	39	,	,	PUNCT
ajst-21770	44	40	undamaged	undamaged	ADJ
ajst-21770	44	41	buildings	building	NOUN
ajst-21770	44	42	)	)	PUNCT
ajst-21770	44	43	,	,	PUNCT
ajst-21770	44	44	resulting	result	VERB
ajst-21770	44	45	in	in	ADP
ajst-21770	44	46	a	a	DET
ajst-21770	44	47	higher	high	ADJ
ajst-21770	44	48	model	model	NOUN
ajst-21770	44	49	complexity。fc	complexity。fc	ADJ
ajst-21770	44	50	-	-	PUNCT
ajst-21770	44	51	siam	siam	NOUN
ajst-21770	44	52	-	-	PUNCT
ajst-21770	44	53	diff[18	diff[18	NOUN
ajst-21770	44	54	]	]	PUNCT
ajst-21770	44	55	to	to	PART
ajst-21770	44	56	extract	extract	VERB
ajst-21770	44	57	temporal	temporal	ADJ
ajst-21770	44	58	features	feature	NOUN
ajst-21770	44	59	from	from	ADP
ajst-21770	44	60	two	two	NUM
ajst-21770	44	61	temporal	temporal	ADJ
ajst-21770	44	62	phase	phase	NOUN
ajst-21770	44	63	image	image	NOUN
ajst-21770	44	64	data	datum	NOUN
ajst-21770	44	65	,	,	PUNCT
ajst-21770	44	66	a	a	DET
ajst-21770	44	67	symmetric	symmetric	ADJ
ajst-21770	44	68	network	network	NOUN
ajst-21770	44	69	is	be	AUX
ajst-21770	44	70	used	use	VERB
ajst-21770	44	71	,	,	PUNCT
ajst-21770	44	72	and	and	CCONJ
ajst-21770	44	73	the	the	DET
ajst-21770	44	74	differences	difference	NOUN
ajst-21770	44	75	are	be	AUX
ajst-21770	44	76	subtracted	subtract	VERB
ajst-21770	44	77	to	to	PART
ajst-21770	44	78	obtain	obtain	VERB
ajst-21770	44	79	a	a	DET
ajst-21770	44	80	change	change	NOUN
ajst-21770	44	81	map	map	NOUN
ajst-21770	44	82	.	.	PUNCT
ajst-21770	45	1	while	while	SCONJ
ajst-21770	45	2	the	the	DET
ajst-21770	45	3	difference	difference	NOUN
ajst-21770	45	4	map	map	NOUN
ajst-21770	45	5	is	be	AUX
ajst-21770	45	6	the	the	DET
ajst-21770	45	7	most	most	ADV
ajst-21770	45	8	intuitive	intuitive	ADJ
ajst-21770	45	9	feature	feature	NOUN
ajst-21770	45	10	for	for	ADP
ajst-21770	45	11	interpreting	interpret	VERB
ajst-21770	45	12	changes	change	NOUN
ajst-21770	45	13	,	,	PUNCT
ajst-21770	45	14	it	it	PRON
ajst-21770	45	15	is	be	AUX
ajst-21770	45	16	prone	prone	ADJ
ajst-21770	45	17	to	to	ADP
ajst-21770	45	18	false	false	ADJ
ajst-21770	45	19	detections	detection	NOUN
ajst-21770	45	20	due	due	ADP
ajst-21770	45	21	to	to	ADP
ajst-21770	45	22	differences	difference	NOUN
ajst-21770	45	23	in	in	ADP
ajst-21770	45	24	imaging	imaging	NOUN
ajst-21770	45	25	conditions	condition	NOUN
ajst-21770	45	26	between	between	ADP
ajst-21770	45	27	the	the	DET
ajst-21770	45	28	two	two	NUM
ajst-21770	45	29	temporal	temporal	ADJ
ajst-21770	45	30	phases	phase	NOUN
ajst-21770	45	31	,	,	PUNCT
ajst-21770	45	32	such	such	ADJ
ajst-21770	45	33	as	as	ADP
ajst-21770	45	34	viewpoint	viewpoint	NOUN
ajst-21770	45	35	changes	change	NOUN
ajst-21770	45	36	,	,	PUNCT
ajst-21770	45	37	occlusions	occlusion	NOUN
ajst-21770	45	38	,	,	PUNCT
ajst-21770	45	39	shadows	shadow	NOUN
ajst-21770	45	40	,	,	PUNCT
ajst-21770	45	41	and	and	CCONJ
ajst-21770	45	42	other	other	ADJ
ajst-21770	45	43	factors[19	factors[19	NOUN
ajst-21770	45	44	]	]	X
ajst-21770	45	45	;	;	PUNCT
ajst-21770	45	46	xiao	xiao	PROPN
ajst-21770	45	47	et	et	PROPN
ajst-21770	45	48	al[20]proposed	al[20]propose	VERB
ajst-21770	45	49	the	the	DET
ajst-21770	45	50	dcfnet	dcfnet	PROPN
ajst-21770	45	51	framework	framework	NOUN
ajst-21770	45	52	,	,	PUNCT
ajst-21770	45	53	which	which	PRON
ajst-21770	45	54	consists	consist	VERB
ajst-21770	45	55	of	of	ADP
ajst-21770	45	56	two	two	NUM
ajst-21770	45	57	modules	module	NOUN
ajst-21770	45	58	:	:	PUNCT
ajst-21770	45	59	dcf	dcf	PROPN
ajst-21770	45	60	(	(	PUNCT
ajst-21770	45	61	dynamic	dynamic	ADJ
ajst-21770	45	62	cross	cross	ADJ
ajst-21770	45	63	-	-	ADJ
ajst-21770	45	64	task	task	ADJ
ajst-21770	45	65	fusion	fusion	NOUN
ajst-21770	45	66	)	)	PUNCT
ajst-21770	45	67	and	and	CCONJ
ajst-21770	45	68	tsh	tsh	NOUN
ajst-21770	45	69	(	(	PUNCT
ajst-21770	45	70	task	task	NOUN
ajst-21770	45	71	-	-	PUNCT
ajst-21770	45	72	shared	share	VERB
ajst-21770	45	73	head	head	NOUN
ajst-21770	45	74	)	)	PUNCT
ajst-21770	45	75	.	.	PUNCT
ajst-21770	46	1	it	it	PRON
ajst-21770	46	2	supports	support	VERB
ajst-21770	46	3	adaptive	adaptive	ADJ
ajst-21770	46	4	feature	feature	NOUN
ajst-21770	46	5	selection	selection	NOUN
ajst-21770	46	6	between	between	ADP
ajst-21770	46	7	multi	multi	ADJ
ajst-21770	46	8	-	-	ADJ
ajst-21770	46	9	level	level	ADJ
ajst-21770	46	10	features	feature	NOUN
ajst-21770	46	11	to	to	PART
ajst-21770	46	12	optimize	optimize	VERB
ajst-21770	46	13	detection	detection	NOUN
ajst-21770	46	14	performance.。fu	performance.。fu	NUM
ajst-21770	46	15	et	et	PROPN
ajst-21770	46	16	al[21	al[21	PROPN
ajst-21770	46	17	]	]	PUNCT
ajst-21770	46	18	proposed	propose	VERB
ajst-21770	46	19	an	an	DET
ajst-21770	46	20	end	end	NOUN
ajst-21770	46	21	-	-	PUNCT
ajst-21770	46	22	to	to	ADP
ajst-21770	46	23	-	-	PUNCT
ajst-21770	46	24	end	end	NOUN
ajst-21770	46	25	framework	framework	NOUN
ajst-21770	46	26	for	for	ADP
ajst-21770	46	27	building	build	VERB
ajst-21770	46	28	damage	damage	NOUN
ajst-21770	46	29	detection	detection	NOUN
ajst-21770	46	30	(	(	PUNCT
ajst-21770	46	31	bdd	bdd	PROPN
ajst-21770	46	32	)	)	PUNCT
ajst-21770	46	33	based	base	VERB
ajst-21770	46	34	on	on	ADP
ajst-21770	46	35	the	the	DET
ajst-21770	46	36	super	super	ADJ
ajst-21770	46	37	-	-	ADJ
ajst-21770	46	38	resolution	resolution	ADJ
ajst-21770	46	39	generative	generative	ADJ
ajst-21770	46	40	adversarial	adversarial	ADJ
ajst-21770	46	41	network	network	NOUN
ajst-21770	46	42	(	(	PUNCT
ajst-21770	46	43	srgan	srgan	NOUN
ajst-21770	46	44	)	)	PUNCT
ajst-21770	46	45	and	and	CCONJ
ajst-21770	46	46	u	u	ADJ
ajst-21770	46	47	-	-	ADJ
ajst-21770	46	48	net	net	ADJ
ajst-21770	46	49	convolutional	convolutional	ADJ
ajst-21770	46	50	network	network	NOUN
ajst-21770	46	51	,	,	PUNCT
ajst-21770	46	52	which	which	PRON
ajst-21770	46	53	restores	restore	VERB
ajst-21770	46	54	high	high	ADJ
ajst-21770	46	55	-	-	PUNCT
ajst-21770	46	56	resolution	resolution	NOUN
ajst-21770	46	57	building	building	NOUN
ajst-21770	46	58	damage	damage	NOUN
ajst-21770	46	59	results	result	NOUN
ajst-21770	46	60	from	from	ADP
ajst-21770	46	61	lowresolution	lowresolution	NOUN
ajst-21770	46	62	images	image	NOUN
ajst-21770	46	63	.	.	PUNCT
ajst-21770	47	1	while	while	SCONJ
ajst-21770	47	2	the	the	DET
ajst-21770	47	3	accuracy	accuracy	NOUN
ajst-21770	47	4	of	of	ADP
ajst-21770	47	5	building	build	VERB
ajst-21770	47	6	damage	damage	NOUN
ajst-21770	47	7	assessment	assessment	NOUN
ajst-21770	47	8	methods	method	NOUN
ajst-21770	47	9	based	base	VERB
ajst-21770	47	10	on	on	ADP
ajst-21770	47	11	dual	dual	ADJ
ajst-21770	47	12	-	-	PUNCT
ajst-21770	47	13	temporal	temporal	ADJ
ajst-21770	47	14	satellite	satellite	NOUN
ajst-21770	47	15	image	image	NOUN
ajst-21770	47	16	data	datum	NOUN
ajst-21770	47	17	is	be	AUX
ajst-21770	47	18	relatively	relatively	ADV
ajst-21770	47	19	higher	high	ADJ
ajst-21770	47	20	,	,	PUNCT
ajst-21770	47	21	the	the	DET
ajst-21770	47	22	availability	availability	NOUN
ajst-21770	47	23	of	of	ADP
ajst-21770	47	24	pre	pre	ADJ
ajst-21770	47	25	-	-	ADJ
ajst-21770	47	26	disaster	disaster	ADJ
ajst-21770	47	27	image	image	NOUN
ajst-21770	47	28	data	datum	NOUN
ajst-21770	47	29	is	be	AUX
ajst-21770	47	30	difficult	difficult	ADJ
ajst-21770	47	31	to	to	PART
ajst-21770	47	32	guarantee	guarantee	VERB
ajst-21770	47	33	due	due	ADP
ajst-21770	47	34	to	to	ADP
ajst-21770	47	35	the	the	DET
ajst-21770	47	36	suddenness	suddenness	NOUN
ajst-21770	47	37	of	of	ADP
ajst-21770	47	38	natural	natural	ADJ
ajst-21770	47	39	disasters	disaster	NOUN
ajst-21770	47	40	and	and	CCONJ
ajst-21770	47	41	the	the	DET
ajst-21770	47	42	limitations	limitation	NOUN
ajst-21770	47	43	of	of	ADP
ajst-21770	47	44	the	the	DET
ajst-21770	47	45	revisit	revisit	NOUN
ajst-21770	47	46	cycle	cycle	NOUN
ajst-21770	47	47	of	of	ADP
ajst-21770	47	48	remote	remote	ADJ
ajst-21770	47	49	sensing	sense	VERB
ajst-21770	47	50	satellite	satellite	NOUN
ajst-21770	47	51	data	datum	NOUN
ajst-21770	47	52	.	.	PUNCT
ajst-21770	48	1	at	at	ADP
ajst-21770	48	2	the	the	DET
ajst-21770	48	3	same	same	ADJ
ajst-21770	48	4	time	time	NOUN
ajst-21770	48	5	,	,	PUNCT
ajst-21770	48	6	there	there	PRON
ajst-21770	48	7	remains	remain	VERB
ajst-21770	48	8	a	a	DET
ajst-21770	48	9	significant	significant	ADJ
ajst-21770	48	10	challenge	challenge	NOUN
ajst-21770	48	11	in	in	ADP
ajst-21770	48	12	how	how	SCONJ
ajst-21770	48	13	to	to	PART
ajst-21770	48	14	reasonably	reasonably	ADV
ajst-21770	48	15	establish	establish	VERB
ajst-21770	48	16	a	a	DET
ajst-21770	48	17	mapping	mapping	NOUN
ajst-21770	48	18	relationship	relationship	NOUN
ajst-21770	48	19	model	model	NOUN
ajst-21770	48	20	between	between	ADP
ajst-21770	48	21	dual	dual	ADJ
ajst-21770	48	22	-	-	PUNCT
ajst-21770	48	23	temporal	temporal	ADJ
ajst-21770	48	24	data	datum	NOUN
ajst-21770	48	25	with	with	ADP
ajst-21770	48	26	different	different	ADJ
ajst-21770	48	27	imaging	imaging	NOUN
ajst-21770	48	28	conditions	condition	NOUN
ajst-21770	48	29	,	,	PUNCT
ajst-21770	48	30	in	in	ADP
ajst-21770	48	31	order	order	NOUN
ajst-21770	48	32	to	to	PART
ajst-21770	48	33	generate	generate	VERB
ajst-21770	48	34	a	a	DET
ajst-21770	48	35	building	building	NOUN
ajst-21770	48	36	damage	damage	NOUN
ajst-21770	48	37	localization	localization	NOUN
ajst-21770	48	38	attribute	attribute	NOUN
ajst-21770	48	39	map	map	NOUN
ajst-21770	48	40	.	.	PUNCT
ajst-21770	49	1	2.2	2.2	NUM
ajst-21770	49	2	.	.	PUNCT
ajst-21770	50	1	attention	attention	NOUN
ajst-21770	50	2	model	model	NOUN
ajst-21770	50	3	the	the	DET
ajst-21770	50	4	attention	attention	NOUN
ajst-21770	50	5	mechanism	mechanism	NOUN
ajst-21770	50	6	of	of	ADP
ajst-21770	50	7	deep	deep	ADJ
ajst-21770	50	8	learning	learning	NOUN
ajst-21770	50	9	is	be	AUX
ajst-21770	50	10	inspired	inspire	VERB
ajst-21770	50	11	by	by	ADP
ajst-21770	50	12	the	the	DET
ajst-21770	50	13	attention	attention	NOUN
ajst-21770	50	14	thinking	think	VERB
ajst-21770	50	15	mode	mode	NOUN
ajst-21770	50	16	of	of	ADP
ajst-21770	50	17	human	human	ADJ
ajst-21770	50	18	vision	vision	NOUN
ajst-21770	50	19	,	,	PUNCT
ajst-21770	50	20	forming	form	VERB
ajst-21770	50	21	an	an	DET
ajst-21770	50	22	attention	attention	NOUN
ajst-21770	50	23	focus[22].by	focus[22].by	PROPN
ajst-21770	50	24	incorporating	incorporate	VERB
ajst-21770	50	25	an	an	DET
ajst-21770	50	26	attention	attention	NOUN
ajst-21770	50	27	module	module	NOUN
ajst-21770	50	28	,	,	PUNCT
ajst-21770	50	29	the	the	DET
ajst-21770	50	30	network	network	NOUN
ajst-21770	50	31	can	can	AUX
ajst-21770	50	32	focus	focus	VERB
ajst-21770	50	33	more	more	ADV
ajst-21770	50	34	on	on	ADP
ajst-21770	50	35	the	the	DET
ajst-21770	50	36	feature	feature	NOUN
ajst-21770	50	37	information	information	NOUN
ajst-21770	50	38	of	of	ADP
ajst-21770	50	39	the	the	DET
ajst-21770	50	40	image	image	NOUN
ajst-21770	50	41	.	.	PUNCT
ajst-21770	51	1	in	in	ADP
ajst-21770	51	2	se	se	PROPN
ajst-21770	51	3	-	-	NOUN
ajst-21770	51	4	net[23	net[23	VERB
ajst-21770	51	5	]	]	PUNCT
ajst-21770	51	6	.	.	PUNCT
ajst-21770	52	1	spa	spa	NOUN
ajst-21770	52	2	-	-	PUNCT
ajst-21770	52	3	net[24	net[24	NOUN
ajst-21770	52	4	]	]	PUNCT
ajst-21770	52	5	the	the	DET
ajst-21770	52	6	separate	separate	ADJ
ajst-21770	52	7	utilization	utilization	NOUN
ajst-21770	52	8	of	of	ADP
ajst-21770	52	9	channel	channel	NOUN
ajst-21770	52	10	attention	attention	NOUN
ajst-21770	52	11	and	and	CCONJ
ajst-21770	52	12	spatial	spatial	ADJ
ajst-21770	52	13	attention	attention	NOUN
ajst-21770	52	14	mechanisms	mechanism	NOUN
ajst-21770	52	15	has	have	AUX
ajst-21770	52	16	achieved	achieve	VERB
ajst-21770	52	17	great	great	ADJ
ajst-21770	52	18	success	success	NOUN
ajst-21770	52	19	in	in	ADP
ajst-21770	52	20	remote	remote	ADJ
ajst-21770	52	21	sensing	sense	VERB
ajst-21770	52	22	image	image	NOUN
ajst-21770	52	23	processing	processing	NOUN
ajst-21770	52	24	tasks	task	NOUN
ajst-21770	52	25	.	.	PUNCT
ajst-21770	53	1	the	the	DET
ajst-21770	53	2	subsequently	subsequently	ADV
ajst-21770	53	3	proposed	propose	VERB
ajst-21770	53	4	cbam[25	cbam[25	NOUN
ajst-21770	53	5	]	]	PUNCT
ajst-21770	53	6	combines	combine	VERB
ajst-21770	53	7	channel	channel	NOUN
ajst-21770	53	8	and	and	CCONJ
ajst-21770	53	9	spatial	spatial	ADJ
ajst-21770	53	10	attention	attention	NOUN
ajst-21770	53	11	modules	module	NOUN
ajst-21770	53	12	in	in	ADP
ajst-21770	53	13	series	series	NOUN
ajst-21770	53	14	,	,	PUNCT
ajst-21770	53	15	allowing	allow	VERB
ajst-21770	53	16	for	for	ADP
ajst-21770	53	17	the	the	DET
ajst-21770	53	18	consideration	consideration	NOUN
ajst-21770	53	19	of	of	ADP
ajst-21770	53	20	information	information	NOUN
ajst-21770	53	21	interaction	interaction	NOUN
ajst-21770	53	22	in	in	ADP
ajst-21770	53	23	both	both	DET
ajst-21770	53	24	channel	channel	NOUN
ajst-21770	53	25	and	and	CCONJ
ajst-21770	53	26	spatial	spatial	ADJ
ajst-21770	53	27	dimensions	dimension	NOUN
ajst-21770	53	28	,	,	PUNCT
ajst-21770	53	29	thereby	thereby	ADV
ajst-21770	53	30	generating	generate	VERB
ajst-21770	53	31	more	more	ADV
ajst-21770	53	32	expressive	expressive	ADJ
ajst-21770	53	33	feature	feature	NOUN
ajst-21770	53	34	maps	map	NOUN
ajst-21770	53	35	.	.	PUNCT
ajst-21770	54	1	currently	currently	ADV
ajst-21770	54	2	,	,	PUNCT
ajst-21770	54	3	attention	attention	NOUN
ajst-21770	54	4	-	-	PUNCT
ajst-21770	54	5	based	base	VERB
ajst-21770	54	6	models	model	NOUN
ajst-21770	54	7	are	be	AUX
ajst-21770	54	8	less	less	ADV
ajst-21770	54	9	frequently	frequently	ADV
ajst-21770	54	10	applied	apply	VERB
ajst-21770	54	11	in	in	ADP
ajst-21770	54	12	assessing	assess	VERB
ajst-21770	54	13	the	the	DET
ajst-21770	54	14	degree	degree	NOUN
ajst-21770	54	15	of	of	ADP
ajst-21770	54	16	building	build	VERB
ajst-21770	54	17	damage	damage	NOUN
ajst-21770	54	18	[	[	X
ajst-21770	54	19	26	26	NUM
ajst-21770	54	20	]	]	PUNCT
ajst-21770	54	21	.	.	PUNCT
ajst-21770	55	1	in	in	ADP
ajst-21770	55	2	the	the	DET
ajst-21770	55	3	literature[27	literature[27	PROPN
ajst-21770	55	4	]	]	X
ajst-21770	55	5	,	,	PUNCT
ajst-21770	55	6	a	a	DET
ajst-21770	55	7	non	non	ADJ
ajst-21770	55	8	-	-	ADJ
ajst-21770	55	9	local	local	ADJ
ajst-21770	55	10	attention	attention	NOUN
ajst-21770	55	11	model[28	model[28	NOUN
ajst-21770	55	12	]	]	PUNCT
ajst-21770	55	13	was	be	AUX
ajst-21770	55	14	used	use	VERB
ajst-21770	55	15	to	to	PART
ajst-21770	55	16	capture	capture	VERB
ajst-21770	55	17	remote	remote	ADJ
ajst-21770	55	18	spatial	spatial	ADJ
ajst-21770	55	19	information	information	NOUN
ajst-21770	55	20	from	from	ADP
ajst-21770	55	21	pre	pre	ADJ
ajst-21770	55	22	-	-	NOUN
ajst-21770	55	23	disaster	disaster	ADJ
ajst-21770	55	24	and	and	CCONJ
ajst-21770	55	25	post	post	ADJ
ajst-21770	55	26	-	-	ADJ
ajst-21770	55	27	disaster	disaster	ADJ
ajst-21770	55	28	images	image	NOUN
ajst-21770	55	29	.	.	PUNCT
ajst-21770	56	1	this	this	PRON
ajst-21770	56	2	is	be	AUX
ajst-21770	56	3	because	because	SCONJ
ajst-21770	56	4	the	the	DET
ajst-21770	56	5	non	non	ADJ
ajst-21770	56	6	-	-	ADJ
ajst-21770	56	7	local	local	ADJ
ajst-21770	56	8	mechanism	mechanism	NOUN
ajst-21770	56	9	requires	require	VERB
ajst-21770	56	10	calculating	calculate	VERB
ajst-21770	56	11	attention	attention	NOUN
ajst-21770	56	12	maps	map	NOUN
ajst-21770	56	13	based	base	VERB
ajst-21770	56	14	on	on	ADP
ajst-21770	56	15	high	high	ADJ
ajst-21770	56	16	-	-	PUNCT
ajst-21770	56	17	resolution	resolution	NOUN
ajst-21770	56	18	features	feature	NOUN
ajst-21770	56	19	,	,	PUNCT
ajst-21770	56	20	which	which	PRON
ajst-21770	56	21	means	mean	VERB
ajst-21770	56	22	that	that	SCONJ
ajst-21770	56	23	a	a	DET
ajst-21770	56	24	large	large	ADJ
ajst-21770	56	25	number	number	NOUN
ajst-21770	56	26	of	of	ADP
ajst-21770	56	27	pixels	pixel	NOUN
ajst-21770	56	28	and	and	CCONJ
ajst-21770	56	29	higher	higher	ADV
ajst-21770	56	30	-	-	PUNCT
ajst-21770	56	31	dimensional	dimensional	ADJ
ajst-21770	56	32	data	datum	NOUN
ajst-21770	56	33	need	need	VERB
ajst-21770	56	34	to	to	PART
ajst-21770	56	35	be	be	AUX
ajst-21770	56	36	processed	process	VERB
ajst-21770	56	37	,	,	PUNCT
ajst-21770	56	38	leading	lead	VERB
ajst-21770	56	39	to	to	ADP
ajst-21770	56	40	higher	high	ADJ
ajst-21770	56	41	computational	computational	ADJ
ajst-21770	56	42	costs	cost	NOUN
ajst-21770	56	43	.	.	PUNCT
ajst-21770	57	1	although	although	SCONJ
ajst-21770	57	2	the	the	DET
ajst-21770	57	3	non	non	ADJ
ajst-21770	57	4	-	-	ADJ
ajst-21770	57	5	local	local	ADJ
ajst-21770	57	6	mechanism	mechanism	NOUN
ajst-21770	57	7	can	can	AUX
ajst-21770	57	8	provide	provide	VERB
ajst-21770	57	9	more	more	ADV
ajst-21770	57	10	comprehensive	comprehensive	ADJ
ajst-21770	57	11	global	global	ADJ
ajst-21770	57	12	information	information	NOUN
ajst-21770	57	13	,	,	PUNCT
ajst-21770	57	14	its	its	PRON
ajst-21770	57	15	high	high	ADJ
ajst-21770	57	16	computational	computational	ADJ
ajst-21770	57	17	cost	cost	NOUN
ajst-21770	57	18	needs	need	NOUN
ajst-21770	57	19	to	to	PART
ajst-21770	57	20	be	be	AUX
ajst-21770	57	21	weighed	weigh	VERB
ajst-21770	57	22	against	against	ADP
ajst-21770	57	23	practical	practical	ADJ
ajst-21770	57	24	considerations	consideration	NOUN
ajst-21770	57	25	.	.	PUNCT
ajst-21770	58	1	116	116	NUM
ajst-21770	58	2	3	3	NUM
ajst-21770	58	3	.	.	PUNCT
ajst-21770	58	4	proposed	propose	VERB
ajst-21770	58	5	method	method	NOUN
ajst-21770	58	6	inspired	inspire	VERB
ajst-21770	58	7	by	by	ADP
ajst-21770	58	8	the	the	DET
ajst-21770	58	9	literature[29	literature[29	NOUN
ajst-21770	58	10	]	]	PUNCT
ajst-21770	58	11	,	,	PUNCT
ajst-21770	58	12	this	this	DET
ajst-21770	58	13	paper	paper	NOUN
ajst-21770	58	14	constructs	construct	VERB
ajst-21770	58	15	derunet	derunet	PROPN
ajst-21770	58	16	.	.	PUNCT
ajst-21770	59	1	deru	deru	PROPN
ajst-21770	59	2	-	-	PUNCT
ajst-21770	59	3	net	net	PROPN
ajst-21770	59	4	adopts	adopt	VERB
ajst-21770	59	5	a	a	DET
ajst-21770	59	6	dual	dual	ADJ
ajst-21770	59	7	encoder	encoder	NOUN
ajst-21770	59	8	-	-	PUNCT
ajst-21770	59	9	decoder	decoder	NOUN
ajst-21770	59	10	backbone	backbone	NOUN
ajst-21770	59	11	network	network	NOUN
ajst-21770	59	12	,	,	PUNCT
ajst-21770	59	13	including	include	VERB
ajst-21770	59	14	two	two	NUM
ajst-21770	59	15	different	different	ADJ
ajst-21770	59	16	encoders	encoder	NOUN
ajst-21770	59	17	,	,	PUNCT
ajst-21770	59	18	a	a	DET
ajst-21770	59	19	building	building	NOUN
ajst-21770	59	20	localization	localization	NOUN
ajst-21770	59	21	decoder	decoder	NOUN
ajst-21770	59	22	,	,	PUNCT
ajst-21770	59	23	and	and	CCONJ
ajst-21770	59	24	a	a	DET
ajst-21770	59	25	building	building	NOUN
ajst-21770	59	26	damage	damage	NOUN
ajst-21770	59	27	degree	degree	NOUN
ajst-21770	59	28	decoder	decoder	NOUN
ajst-21770	59	29	.	.	PUNCT
ajst-21770	60	1	the	the	DET
ajst-21770	60	2	dual	dual	ADJ
ajst-21770	60	3	weight	weight	NOUN
ajst-21770	60	4	-	-	PUNCT
ajst-21770	60	5	shared	share	VERB
ajst-21770	60	6	encoders	encoder	NOUN
ajst-21770	60	7	are	be	AUX
ajst-21770	60	8	responsible	responsible	ADJ
ajst-21770	60	9	for	for	ADP
ajst-21770	60	10	extracting	extract	VERB
ajst-21770	60	11	the	the	DET
ajst-21770	60	12	feature	feature	NOUN
ajst-21770	60	13	information	information	NOUN
ajst-21770	60	14	of	of	ADP
ajst-21770	60	15	dual	dual	ADJ
ajst-21770	60	16	-	-	PUNCT
ajst-21770	60	17	temporal	temporal	ADJ
ajst-21770	60	18	images	image	NOUN
ajst-21770	60	19	and	and	CCONJ
ajst-21770	60	20	enhancing	enhance	VERB
ajst-21770	60	21	the	the	DET
ajst-21770	60	22	ability	ability	NOUN
ajst-21770	60	23	of	of	ADP
ajst-21770	60	24	the	the	DET
ajst-21770	60	25	network	network	NOUN
ajst-21770	60	26	model	model	NOUN
ajst-21770	60	27	to	to	PART
ajst-21770	60	28	extract	extract	VERB
ajst-21770	60	29	the	the	DET
ajst-21770	60	30	boundary	boundary	NOUN
ajst-21770	60	31	of	of	ADP
ajst-21770	60	32	damaged	damage	VERB
ajst-21770	60	33	buildings	building	NOUN
ajst-21770	60	34	with	with	ADP
ajst-21770	60	35	blurred	blurred	ADJ
ajst-21770	60	36	boundaries	boundary	NOUN
ajst-21770	60	37	after	after	ADP
ajst-21770	60	38	disasters	disaster	NOUN
ajst-21770	60	39	through	through	ADP
ajst-21770	60	40	parameter	parameter	NOUN
ajst-21770	60	41	sharing	sharing	NOUN
ajst-21770	60	42	.	.	PUNCT
ajst-21770	61	1	then	then	ADV
ajst-21770	61	2	,	,	PUNCT
ajst-21770	61	3	the	the	DET
ajst-21770	61	4	channel	channel	NOUN
ajst-21770	61	5	switching	switch	VERB
ajst-21770	61	6	module	module	NOUN
ajst-21770	61	7	is	be	AUX
ajst-21770	61	8	used	use	VERB
ajst-21770	61	9	to	to	PART
ajst-21770	61	10	perform	perform	VERB
ajst-21770	61	11	feature	feature	NOUN
ajst-21770	61	12	exchange	exchange	NOUN
ajst-21770	61	13	to	to	PART
ajst-21770	61	14	ensure	ensure	VERB
ajst-21770	61	15	that	that	SCONJ
ajst-21770	61	16	each	each	DET
ajst-21770	61	17	encoder	encoder	NOUN
ajst-21770	61	18	contains	contain	VERB
ajst-21770	61	19	the	the	DET
ajst-21770	61	20	characteristics	characteristic	NOUN
ajst-21770	61	21	of	of	ADP
ajst-21770	61	22	dualtemporal	dualtemporal	ADJ
ajst-21770	61	23	image	image	NOUN
ajst-21770	61	24	data	datum	NOUN
ajst-21770	61	25	.	.	PUNCT
ajst-21770	62	1	in	in	ADP
ajst-21770	62	2	the	the	DET
ajst-21770	62	3	t1	t1	NOUN
ajst-21770	62	4	branch	branch	NOUN
ajst-21770	62	5	,	,	PUNCT
ajst-21770	62	6	the	the	DET
ajst-21770	62	7	building	building	NOUN
ajst-21770	62	8	localization	localization	NOUN
ajst-21770	62	9	decoder	decoder	NOUN
ajst-21770	62	10	integrates	integrate	VERB
ajst-21770	62	11	the	the	DET
ajst-21770	62	12	t1	t1	NOUN
ajst-21770	62	13	decoder	decoder	NOUN
ajst-21770	62	14	features	feature	NOUN
ajst-21770	62	15	and	and	CCONJ
ajst-21770	62	16	the	the	DET
ajst-21770	62	17	building	building	NOUN
ajst-21770	62	18	encoder	encoder	NOUN
ajst-21770	62	19	features	feature	VERB
ajst-21770	62	20	through	through	ADP
ajst-21770	62	21	skip	skip	ADJ
ajst-21770	62	22	connections	connection	NOUN
ajst-21770	62	23	to	to	PART
ajst-21770	62	24	accurately	accurately	ADV
ajst-21770	62	25	locate	locate	VERB
ajst-21770	62	26	the	the	DET
ajst-21770	62	27	building	building	NOUN
ajst-21770	62	28	area	area	NOUN
ajst-21770	62	29	and	and	CCONJ
ajst-21770	62	30	generate	generate	VERB
ajst-21770	62	31	a	a	DET
ajst-21770	62	32	building	building	NOUN
ajst-21770	62	33	localization	localization	NOUN
ajst-21770	62	34	mask	mask	NOUN
ajst-21770	62	35	file	file	NOUN
ajst-21770	62	36	.	.	PUNCT
ajst-21770	63	1	similarly	similarly	ADV
ajst-21770	63	2	,	,	PUNCT
ajst-21770	63	3	for	for	ADP
ajst-21770	63	4	post	post	ADJ
ajst-21770	63	5	-	-	ADJ
ajst-21770	63	6	disaster	disaster	ADJ
ajst-21770	63	7	image	image	NOUN
ajst-21770	63	8	data	datum	NOUN
ajst-21770	63	9	,	,	PUNCT
ajst-21770	63	10	the	the	DET
ajst-21770	63	11	same	same	ADJ
ajst-21770	63	12	decoder	decoder	NOUN
ajst-21770	63	13	is	be	AUX
ajst-21770	63	14	used	use	VERB
ajst-21770	63	15	for	for	ADP
ajst-21770	63	16	auxiliary	auxiliary	ADJ
ajst-21770	63	17	positioning	positioning	NOUN
ajst-21770	63	18	.	.	PUNCT
ajst-21770	64	1	in	in	ADP
ajst-21770	64	2	the	the	DET
ajst-21770	64	3	building	building	NOUN
ajst-21770	64	4	damage	damage	NOUN
ajst-21770	64	5	degree	degree	NOUN
ajst-21770	64	6	decoder	decoder	NOUN
ajst-21770	64	7	,	,	PUNCT
ajst-21770	64	8	the	the	DET
ajst-21770	64	9	temporal	temporal	ADJ
ajst-21770	64	10	fusion	fusion	NOUN
ajst-21770	64	11	attention	attention	NOUN
ajst-21770	64	12	module	module	NOUN
ajst-21770	64	13	(	(	PUNCT
ajst-21770	64	14	dfma	dfma	PROPN
ajst-21770	64	15	)	)	PUNCT
ajst-21770	64	16	is	be	AUX
ajst-21770	64	17	used	use	VERB
ajst-21770	64	18	to	to	PART
ajst-21770	64	19	accurately	accurately	ADV
ajst-21770	64	20	fuse	fuse	VERB
ajst-21770	64	21	the	the	DET
ajst-21770	64	22	dualtemporal	dualtemporal	ADJ
ajst-21770	64	23	features	feature	NOUN
ajst-21770	64	24	to	to	PART
ajst-21770	64	25	generate	generate	VERB
ajst-21770	64	26	the	the	DET
ajst-21770	64	27	final	final	ADJ
ajst-21770	64	28	building	building	NOUN
ajst-21770	64	29	damage	damage	NOUN
ajst-21770	64	30	degree	degree	NOUN
ajst-21770	64	31	localization	localization	NOUN
ajst-21770	64	32	map	map	NOUN
ajst-21770	64	33	.	.	PUNCT
ajst-21770	65	1	in	in	ADP
ajst-21770	65	2	the	the	DET
ajst-21770	65	3	final	final	ADJ
ajst-21770	65	4	output	output	NOUN
ajst-21770	65	5	stage	stage	NOUN
ajst-21770	65	6	of	of	ADP
ajst-21770	65	7	the	the	DET
ajst-21770	65	8	model	model	NOUN
ajst-21770	65	9	,	,	PUNCT
ajst-21770	65	10	the	the	DET
ajst-21770	65	11	building	building	NOUN
ajst-21770	65	12	localization	localization	NOUN
ajst-21770	65	13	mask	mask	NOUN
ajst-21770	65	14	and	and	CCONJ
ajst-21770	65	15	the	the	DET
ajst-21770	65	16	building	building	NOUN
ajst-21770	65	17	damage	damage	NOUN
ajst-21770	65	18	degree	degree	NOUN
ajst-21770	65	19	localization	localization	NOUN
ajst-21770	65	20	map	map	NOUN
ajst-21770	65	21	are	be	AUX
ajst-21770	65	22	fused	fuse	VERB
ajst-21770	65	23	through	through	ADP
ajst-21770	65	24	element	element	ADJ
ajst-21770	65	25	-	-	ADJ
ajst-21770	65	26	wise	wise	ADJ
ajst-21770	65	27	multiplication	multiplication	NOUN
ajst-21770	65	28	to	to	PART
ajst-21770	65	29	generate	generate	VERB
ajst-21770	65	30	the	the	DET
ajst-21770	65	31	final	final	ADJ
ajst-21770	65	32	instance	instance	NOUN
ajst-21770	65	33	building	build	VERB
ajst-21770	65	34	damage	damage	NOUN
ajst-21770	65	35	degree	degree	NOUN
ajst-21770	65	36	localization	localization	NOUN
ajst-21770	65	37	map	map	NOUN
ajst-21770	65	38	.	.	PUNCT
ajst-21770	66	1	figure	figure	NOUN
ajst-21770	66	2	2	2	NUM
ajst-21770	66	3	.	.	PUNCT
ajst-21770	67	1	overview	overview	NOUN
ajst-21770	67	2	of	of	ADP
ajst-21770	67	3	the	the	DET
ajst-21770	67	4	proposed	propose	VERB
ajst-21770	67	5	framework	framework	NOUN
ajst-21770	67	6	(	(	PUNCT
ajst-21770	67	7	deru	deru	PROPN
ajst-21770	67	8	-	-	PUNCT
ajst-21770	67	9	net	net	NOUN
ajst-21770	67	10	)	)	PUNCT
ajst-21770	67	11	3.1	3.1	NUM
ajst-21770	67	12	.	.	PUNCT
ajst-21770	67	13	encoder	encoder	NOUN
ajst-21770	67	14	part	part	NOUN
ajst-21770	67	15	in	in	ADP
ajst-21770	67	16	this	this	DET
ajst-21770	67	17	study	study	NOUN
ajst-21770	67	18	,	,	PUNCT
ajst-21770	67	19	u	u	NOUN
ajst-21770	67	20	-	-	NOUN
ajst-21770	67	21	net[30	net[30	ADJ
ajst-21770	67	22	]	]	PUNCT
ajst-21770	67	23	is	be	AUX
ajst-21770	67	24	selected	select	VERB
ajst-21770	67	25	as	as	ADP
ajst-21770	67	26	the	the	DET
ajst-21770	67	27	backbone	backbone	NOUN
ajst-21770	67	28	network	network	NOUN
ajst-21770	67	29	.	.	PUNCT
ajst-21770	68	1	compared	compare	VERB
ajst-21770	68	2	to	to	ADP
ajst-21770	68	3	traditional	traditional	ADJ
ajst-21770	68	4	cnn	cnn	PROPN
ajst-21770	68	5	-	-	PUNCT
ajst-21770	68	6	based	base	VERB
ajst-21770	68	7	network	network	NOUN
ajst-21770	68	8	architectures	architecture	NOUN
ajst-21770	68	9	,	,	PUNCT
ajst-21770	68	10	u	u	ADJ
ajst-21770	68	11	-	-	ADJ
ajst-21770	68	12	net	net	ADJ
ajst-21770	68	13	introduces	introduce	NOUN
ajst-21770	68	14	downsampling	downsample	VERB
ajst-21770	68	15	and	and	CCONJ
ajst-21770	68	16	upsampling	upsample	VERB
ajst-21770	68	17	to	to	PART
ajst-21770	68	18	aggregate	aggregate	VERB
ajst-21770	68	19	features	feature	NOUN
ajst-21770	68	20	at	at	ADP
ajst-21770	68	21	multiple	multiple	ADJ
ajst-21770	68	22	scales	scale	NOUN
ajst-21770	68	23	.	.	PUNCT
ajst-21770	69	1	through	through	ADP
ajst-21770	69	2	skip	skip	ADJ
ajst-21770	69	3	connections	connection	NOUN
ajst-21770	69	4	,	,	PUNCT
ajst-21770	69	5	it	it	PRON
ajst-21770	69	6	integrates	integrate	VERB
ajst-21770	69	7	low	low	ADJ
ajst-21770	69	8	-	-	PUNCT
ajst-21770	69	9	level	level	NOUN
ajst-21770	69	10	and	and	CCONJ
ajst-21770	69	11	high	high	ADJ
ajst-21770	69	12	-	-	PUNCT
ajst-21770	69	13	level	level	NOUN
ajst-21770	69	14	features	feature	NOUN
ajst-21770	69	15	to	to	PART
ajst-21770	69	16	enhance	enhance	VERB
ajst-21770	69	17	the	the	DET
ajst-21770	69	18	network	network	NOUN
ajst-21770	69	19	's	's	PART
ajst-21770	69	20	learning	learning	NOUN
ajst-21770	69	21	capability	capability	NOUN
ajst-21770	69	22	[	[	X
ajst-21770	69	23	31	31	NUM
ajst-21770	69	24	]	]	PUNCT
ajst-21770	69	25	.	.	PUNCT
ajst-21770	70	1	however	however	ADV
ajst-21770	70	2	,	,	PUNCT
ajst-21770	70	3	the	the	DET
ajst-21770	70	4	u	u	ADJ
ajst-21770	70	5	-	-	ADJ
ajst-21770	70	6	net	net	ADJ
ajst-21770	70	7	network	network	NOUN
ajst-21770	70	8	structure	structure	NOUN
ajst-21770	70	9	is	be	AUX
ajst-21770	70	10	relatively	relatively	ADV
ajst-21770	70	11	simple	simple	ADJ
ajst-21770	70	12	,	,	PUNCT
ajst-21770	70	13	and	and	CCONJ
ajst-21770	70	14	feature	feature	NOUN
ajst-21770	70	15	extraction	extraction	NOUN
ajst-21770	70	16	primarily	primarily	ADV
ajst-21770	70	17	relies	rely	VERB
ajst-21770	70	18	on	on	ADP
ajst-21770	70	19	the	the	DET
ajst-21770	70	20	double	double	ADJ
ajst-21770	70	21	convolutional	convolutional	ADJ
ajst-21770	70	22	layers	layer	NOUN
ajst-21770	70	23	in	in	ADP
ajst-21770	70	24	the	the	DET
ajst-21770	70	25	encoder	encoder	NOUN
ajst-21770	70	26	.	.	PUNCT
ajst-21770	71	1	while	while	SCONJ
ajst-21770	71	2	the	the	DET
ajst-21770	71	3	double	double	ADJ
ajst-21770	71	4	convolutional	convolutional	ADJ
ajst-21770	71	5	layers	layer	NOUN
ajst-21770	71	6	can	can	AUX
ajst-21770	71	7	extract	extract	VERB
ajst-21770	71	8	rich	rich	ADJ
ajst-21770	71	9	image	image	NOUN
ajst-21770	71	10	features	feature	NOUN
ajst-21770	71	11	and	and	CCONJ
ajst-21770	71	12	increase	increase	VERB
ajst-21770	71	13	the	the	DET
ajst-21770	71	14	model	model	NOUN
ajst-21770	71	15	complexity	complexity	NOUN
ajst-21770	71	16	,	,	PUNCT
ajst-21770	71	17	they	they	PRON
ajst-21770	71	18	also	also	ADV
ajst-21770	71	19	increase	increase	VERB
ajst-21770	71	20	computational	computational	ADJ
ajst-21770	71	21	costs	cost	NOUN
ajst-21770	71	22	and	and	CCONJ
ajst-21770	71	23	are	be	AUX
ajst-21770	71	24	more	more	ADV
ajst-21770	71	25	prone	prone	ADJ
ajst-21770	71	26	to	to	ADP
ajst-21770	71	27	overfitting	overfitte	VERB
ajst-21770	71	28	.	.	PUNCT
ajst-21770	72	1	additionally	additionally	ADV
ajst-21770	72	2	,	,	PUNCT
ajst-21770	72	3	the	the	DET
ajst-21770	72	4	problem	problem	NOUN
ajst-21770	72	5	of	of	ADP
ajst-21770	72	6	gradient	gradient	ADJ
ajst-21770	72	7	disappearance	disappearance	NOUN
ajst-21770	72	8	in	in	ADP
ajst-21770	72	9	deep	deep	ADJ
ajst-21770	72	10	networks	network	NOUN
ajst-21770	72	11	may	may	AUX
ajst-21770	72	12	also	also	ADV
ajst-21770	72	13	affect	affect	VERB
ajst-21770	72	14	the	the	DET
ajst-21770	72	15	effective	effective	ADJ
ajst-21770	72	16	feature	feature	NOUN
ajst-21770	72	17	learning	learning	NOUN
ajst-21770	72	18	of	of	ADP
ajst-21770	72	19	deeper	deep	ADJ
ajst-21770	72	20	convolutional	convolutional	ADJ
ajst-21770	72	21	layers	layer	NOUN
ajst-21770	72	22	.	.	PUNCT
ajst-21770	73	1	to	to	PART
ajst-21770	73	2	address	address	VERB
ajst-21770	73	3	these	these	DET
ajst-21770	73	4	issues	issue	NOUN
ajst-21770	73	5	in	in	ADP
ajst-21770	73	6	the	the	DET
ajst-21770	73	7	encoder	encoder	NOUN
ajst-21770	73	8	part	part	NOUN
ajst-21770	73	9	,	,	PUNCT
ajst-21770	73	10	the	the	DET
ajst-21770	73	11	following	follow	VERB
ajst-21770	73	12	improvements	improvement	NOUN
ajst-21770	73	13	are	be	AUX
ajst-21770	73	14	made	make	VERB
ajst-21770	73	15	in	in	ADP
ajst-21770	73	16	this	this	DET
ajst-21770	73	17	paper	paper	NOUN
ajst-21770	73	18	:	:	PUNCT
ajst-21770	73	19	(	(	PUNCT
ajst-21770	73	20	1	1	X
ajst-21770	73	21	)	)	PUNCT
ajst-21770	73	22	in	in	ADP
ajst-21770	73	23	the	the	DET
ajst-21770	73	24	downsampling	downsample	VERB
ajst-21770	73	25	part	part	NOUN
ajst-21770	73	26	of	of	ADP
ajst-21770	73	27	the	the	DET
ajst-21770	73	28	model	model	NOUN
ajst-21770	73	29	,	,	PUNCT
ajst-21770	73	30	a	a	DET
ajst-21770	73	31	residual	residual	ADJ
ajst-21770	73	32	structure	structure	NOUN
ajst-21770	73	33	is	be	AUX
ajst-21770	73	34	chosen	choose	VERB
ajst-21770	73	35	to	to	PART
ajst-21770	73	36	mitigate	mitigate	VERB
ajst-21770	73	37	the	the	DET
ajst-21770	73	38	issue	issue	NOUN
ajst-21770	73	39	of	of	ADP
ajst-21770	73	40	information	information	NOUN
ajst-21770	73	41	loss	loss	NOUN
ajst-21770	73	42	during	during	ADP
ajst-21770	73	43	forward	forward	ADJ
ajst-21770	73	44	propagation	propagation	NOUN
ajst-21770	73	45	.	.	PUNCT
ajst-21770	74	1	a	a	DET
ajst-21770	74	2	convolutional	convolutional	ADJ
ajst-21770	74	3	layer	layer	NOUN
ajst-21770	74	4	with	with	ADP
ajst-21770	74	5	a	a	DET
ajst-21770	74	6	stride	stride	NOUN
ajst-21770	74	7	of	of	ADP
ajst-21770	74	8	2	2	NUM
ajst-21770	74	9	is	be	AUX
ajst-21770	74	10	used	use	VERB
ajst-21770	74	11	to	to	PART
ajst-21770	74	12	extract	extract	VERB
ajst-21770	74	13	information	information	NOUN
ajst-21770	74	14	from	from	ADP
ajst-21770	74	15	the	the	DET
ajst-21770	74	16	feature	feature	NOUN
ajst-21770	74	17	map	map	NOUN
ajst-21770	74	18	passed	pass	VERB
ajst-21770	74	19	from	from	ADP
ajst-21770	74	20	the	the	DET
ajst-21770	74	21	upper	upper	ADJ
ajst-21770	74	22	layers	layer	NOUN
ajst-21770	74	23	of	of	ADP
ajst-21770	74	24	the	the	DET
ajst-21770	74	25	network	network	NOUN
ajst-21770	74	26	.	.	PUNCT
ajst-21770	75	1	simultaneously	simultaneously	ADV
ajst-21770	75	2	,	,	PUNCT
ajst-21770	75	3	the	the	DET
ajst-21770	75	4	haar	haar	PROPN
ajst-21770	75	5	wavelet	wavelet	NOUN
ajst-21770	75	6	transform	transform	NOUN
ajst-21770	75	7	downsampling	downsample	VERB
ajst-21770	75	8	module[32	module[32	NOUN
ajst-21770	75	9	]	]	PUNCT
ajst-21770	75	10	is	be	AUX
ajst-21770	75	11	employed	employ	VERB
ajst-21770	75	12	to	to	PART
ajst-21770	75	13	reduce	reduce	VERB
ajst-21770	75	14	the	the	DET
ajst-21770	75	15	spatial	spatial	ADJ
ajst-21770	75	16	resolution	resolution	NOUN
ajst-21770	75	17	of	of	ADP
ajst-21770	75	18	the	the	DET
ajst-21770	75	19	feature	feature	NOUN
ajst-21770	75	20	map	map	NOUN
ajst-21770	75	21	while	while	SCONJ
ajst-21770	75	22	preserving	preserve	VERB
ajst-21770	75	23	as	as	ADV
ajst-21770	75	24	much	much	ADJ
ajst-21770	75	25	information	information	NOUN
ajst-21770	75	26	as	as	ADP
ajst-21770	75	27	possible	possible	ADJ
ajst-21770	75	28	for	for	ADP
ajst-21770	75	29	the	the	DET
ajst-21770	75	30	residual	residual	ADJ
ajst-21770	75	31	connection	connection	NOUN
ajst-21770	75	32	part	part	NOUN
ajst-21770	75	33	.	.	PUNCT
ajst-21770	76	1	(	(	PUNCT
ajst-21770	76	2	2	2	X
ajst-21770	76	3	)	)	PUNCT
ajst-21770	76	4	to	to	PART
ajst-21770	76	5	reduce	reduce	VERB
ajst-21770	76	6	the	the	DET
ajst-21770	76	7	model	model	NOUN
ajst-21770	76	8	parameters	parameter	NOUN
ajst-21770	76	9	and	and	CCONJ
ajst-21770	76	10	computational	computational	ADJ
ajst-21770	76	11	complexity	complexity	NOUN
ajst-21770	76	12	,	,	PUNCT
ajst-21770	76	13	and	and	CCONJ
ajst-21770	76	14	achieve	achieve	VERB
ajst-21770	76	15	fast	fast	ADJ
ajst-21770	76	16	and	and	CCONJ
ajst-21770	76	17	effective	effective	ADJ
ajst-21770	76	18	feature	feature	NOUN
ajst-21770	76	19	extraction	extraction	NOUN
ajst-21770	76	20	,	,	PUNCT
ajst-21770	76	21	this	this	DET
ajst-21770	76	22	paper	paper	NOUN
ajst-21770	76	23	employs	employ	VERB
ajst-21770	76	24	the	the	DET
ajst-21770	76	25	hcu	hcu	NOUN
ajst-21770	76	26	(	(	PUNCT
ajst-21770	76	27	half	half	DET
ajst-21770	76	28	convolutional	convolutional	ADJ
ajst-21770	76	29	unit	unit	NOUN
ajst-21770	76	30	)	)	PUNCT
ajst-21770	76	31	proposed	propose	VERB
ajst-21770	76	32	in	in	ADP
ajst-21770	76	33	the	the	DET
ajst-21770	76	34	literature[29	literature[29	NOUN
ajst-21770	76	35	]	]	PUNCT
ajst-21770	76	36	to	to	PART
ajst-21770	76	37	replace	replace	VERB
ajst-21770	76	38	the	the	DET
ajst-21770	76	39	original	original	ADJ
ajst-21770	76	40	double	double	ADJ
ajst-21770	76	41	convolutional	convolutional	ADJ
ajst-21770	76	42	layers	layer	NOUN
ajst-21770	76	43	.	.	PUNCT
ajst-21770	77	1	the	the	DET
ajst-21770	77	2	feature	feature	NOUN
ajst-21770	77	3	map	map	NOUN
ajst-21770	77	4	passed	pass	VERB
ajst-21770	77	5	from	from	ADP
ajst-21770	77	6	the	the	DET
ajst-21770	77	7	downsampling	downsample	VERB
ajst-21770	77	8	part	part	NOUN
ajst-21770	77	9	is	be	AUX
ajst-21770	77	10	divided	divide	VERB
ajst-21770	77	11	in	in	ADP
ajst-21770	77	12	the	the	DET
ajst-21770	77	13	channel	channel	NOUN
ajst-21770	77	14	dimension	dimension	NOUN
ajst-21770	77	15	,	,	PUNCT
ajst-21770	77	16	with	with	ADP
ajst-21770	77	17	one	one	PRON
ajst-21770	77	18	being	be	AUX
ajst-21770	77	19	passed	pass	VERB
ajst-21770	77	20	to	to	ADP
ajst-21770	77	21	the	the	DET
ajst-21770	77	22	convolutional	convolutional	ADJ
ajst-21770	77	23	layer	layer	NOUN
ajst-21770	77	24	for	for	ADP
ajst-21770	77	25	information	information	NOUN
ajst-21770	77	26	extraction	extraction	NOUN
ajst-21770	77	27	and	and	CCONJ
ajst-21770	77	28	the	the	DET
ajst-21770	77	29	other	other	ADJ
ajst-21770	77	30	serving	serve	VERB
ajst-21770	77	31	as	as	ADP
ajst-21770	77	32	residual	residual	ADJ
ajst-21770	77	33	features	feature	NOUN
ajst-21770	77	34	.	.	PUNCT
ajst-21770	78	1	meanwhile	meanwhile	ADV
ajst-21770	78	2	,	,	PUNCT
ajst-21770	78	3	to	to	PART
ajst-21770	78	4	maximize	maximize	VERB
ajst-21770	78	5	the	the	DET
ajst-21770	78	6	retention	retention	NOUN
ajst-21770	78	7	of	of	ADP
ajst-21770	78	8	information	information	NOUN
ajst-21770	78	9	,	,	PUNCT
ajst-21770	78	10	the	the	DET
ajst-21770	78	11	cbam	cbam	NOUN
ajst-21770	78	12	module	module	NOUN
ajst-21770	78	13	is	be	AUX
ajst-21770	78	14	selected	select	VERB
ajst-21770	78	15	as	as	ADP
ajst-21770	78	16	the	the	DET
ajst-21770	78	17	residual	residual	ADJ
ajst-21770	78	18	feature	feature	NOUN
ajst-21770	78	19	of	of	ADP
ajst-21770	78	20	the	the	DET
ajst-21770	78	21	entire	entire	ADJ
ajst-21770	78	22	feature	feature	NOUN
ajst-21770	78	23	map	map	NOUN
ajst-21770	78	24	,	,	PUNCT
ajst-21770	78	25	which	which	PRON
ajst-21770	78	26	is	be	AUX
ajst-21770	78	27	used	use	VERB
ajst-21770	78	28	to	to	PART
ajst-21770	78	29	enhance	enhance	VERB
ajst-21770	78	30	the	the	DET
ajst-21770	78	31	weights	weight	NOUN
ajst-21770	78	32	of	of	ADP
ajst-21770	78	33	the	the	DET
ajst-21770	78	34	input	input	NOUN
ajst-21770	78	35	feature	feature	NOUN
ajst-21770	78	36	map	map	NOUN
ajst-21770	78	37	.	.	PUNCT
ajst-21770	79	1	ultimately	ultimately	ADV
ajst-21770	79	2	,	,	PUNCT
ajst-21770	79	3	the	the	DET
ajst-21770	79	4	feature	feature	NOUN
ajst-21770	79	5	extraction	extraction	NOUN
ajst-21770	79	6	of	of	ADP
ajst-21770	79	7	a	a	DET
ajst-21770	79	8	single	single	ADJ
ajst-21770	79	9	encoder	encoder	NOUN
ajst-21770	79	10	part	part	NOUN
ajst-21770	79	11	is	be	AUX
ajst-21770	79	12	completed	complete	VERB
ajst-21770	79	13	.	.	PUNCT
ajst-21770	80	1	(	(	PUNCT
ajst-21770	80	2	3	3	X
ajst-21770	80	3	)	)	PUNCT
ajst-21770	80	4	channel	channel	NOUN
ajst-21770	80	5	exchange	exchange	NOUN
ajst-21770	80	6	module	module	NOUN
ajst-21770	80	7	.	.	PUNCT
ajst-21770	81	1	a	a	DET
ajst-21770	81	2	channel	channel	NOUN
ajst-21770	81	3	exchange	exchange	NOUN
ajst-21770	81	4	module	module	NOUN
ajst-21770	81	5	[	[	X
ajst-21770	81	6	29	29	NUM
ajst-21770	81	7	]	]	PUNCT
ajst-21770	81	8	is	be	AUX
ajst-21770	81	9	introduced	introduce	VERB
ajst-21770	81	10	in	in	ADP
ajst-21770	81	11	the	the	DET
ajst-21770	81	12	encoder3	encoder3	NOUN
ajst-21770	81	13	part	part	NOUN
ajst-21770	81	14	,	,	PUNCT
ajst-21770	81	15	which	which	PRON
ajst-21770	81	16	passes	pass	VERB
ajst-21770	81	17	the	the	DET
ajst-21770	81	18	dual	dual	ADJ
ajst-21770	81	19	-	-	PUNCT
ajst-21770	81	20	temporal	temporal	ADJ
ajst-21770	81	21	encoder	encoder	NOUN
ajst-21770	81	22	features	feature	VERB
ajst-21770	81	23	into	into	ADP
ajst-21770	81	24	the	the	DET
ajst-21770	81	25	ce	ce	PROPN
ajst-21770	81	26	module	module	NOUN
ajst-21770	81	27	for	for	ADP
ajst-21770	81	28	feature	feature	NOUN
ajst-21770	81	29	half	half	ADJ
ajst-21770	81	30	-	-	PUNCT
ajst-21770	81	31	exchange	exchange	NOUN
ajst-21770	81	32	operations	operation	NOUN
ajst-21770	81	33	,	,	PUNCT
ajst-21770	81	34	promoting	promote	VERB
ajst-21770	81	35	the	the	DET
ajst-21770	81	36	fusion	fusion	NOUN
ajst-21770	81	37	of	of	ADP
ajst-21770	81	38	dual	dual	ADJ
ajst-21770	81	39	-	-	PUNCT
ajst-21770	81	40	temporal	temporal	ADJ
ajst-21770	81	41	features	feature	NOUN
ajst-21770	81	42	and	and	CCONJ
ajst-21770	81	43	refining	refine	VERB
ajst-21770	81	44	the	the	DET
ajst-21770	81	45	change	change	NOUN
ajst-21770	81	46	regions	region	NOUN
ajst-21770	81	47	.	.	PUNCT
ajst-21770	82	1	this	this	PRON
ajst-21770	82	2	can	can	AUX
ajst-21770	82	3	be	be	AUX
ajst-21770	82	4	expressed	express	VERB
ajst-21770	82	5	as	as	ADP
ajst-21770	82	6	the	the	DET
ajst-21770	82	7	following	following	ADJ
ajst-21770	82	8	formula(1	formula(1	ADJ
ajst-21770	82	9	):	):	PUNCT
ajst-21770	82	10	𝑇	𝑇	PROPN
ajst-21770	82	11	,	,	PUNCT
ajst-21770	82	12	𝑇	𝑇	PROPN
ajst-21770	82	13	𝑀	𝑀	PROPN
ajst-21770	82	14	∗	∗	VERB
ajst-21770	82	15	𝑇	𝑇	PROPN
ajst-21770	82	16	1	1	NUM
ajst-21770	82	17	𝑀	𝑀	PROPN
ajst-21770	82	18	∗	∗	NOUN
ajst-21770	82	19	𝑇	𝑇	PROPN
ajst-21770	82	20	(	(	PUNCT
ajst-21770	82	21	1	1	NUM
ajst-21770	82	22	)	)	SYM
ajst-21770	82	23	117	117	NUM
ajst-21770	82	24	figure	figure	NOUN
ajst-21770	82	25	3	3	NUM
ajst-21770	82	26	.	.	NOUN
ajst-21770	82	27	channel	channel	PROPN
ajst-21770	82	28	exchange	exchange	NOUN
ajst-21770	82	29	module	module	NOUN
ajst-21770	82	30	3.2	3.2	NUM
ajst-21770	82	31	.	.	PUNCT
ajst-21770	83	1	temporal	temporal	ADJ
ajst-21770	83	2	fusion	fusion	NOUN
ajst-21770	83	3	attention	attention	NOUN
ajst-21770	83	4	module	module	NOUN
ajst-21770	83	5	(	(	PUNCT
ajst-21770	83	6	dfma	dfma	NOUN
ajst-21770	83	7	)	)	PUNCT
ajst-21770	83	8	methods	method	NOUN
ajst-21770	83	9	for	for	ADP
ajst-21770	83	10	fusing	fuse	VERB
ajst-21770	83	11	dual	dual	ADJ
ajst-21770	83	12	-	-	PUNCT
ajst-21770	83	13	temporal	temporal	ADJ
ajst-21770	83	14	features	feature	NOUN
ajst-21770	83	15	can	can	AUX
ajst-21770	83	16	be	be	AUX
ajst-21770	83	17	divided	divide	VERB
ajst-21770	83	18	into	into	ADP
ajst-21770	83	19	three	three	NUM
ajst-21770	83	20	categories	category	NOUN
ajst-21770	83	21	:	:	PUNCT
ajst-21770	83	22	simple	simple	ADJ
ajst-21770	83	23	fusion	fusion	NOUN
ajst-21770	83	24	,	,	PUNCT
ajst-21770	83	25	convolution	convolution	NOUN
ajst-21770	83	26	enhancement	enhancement	NOUN
ajst-21770	83	27	,	,	PUNCT
ajst-21770	83	28	and	and	CCONJ
ajst-21770	83	29	attention	attention	NOUN
ajst-21770	83	30	enhancement[33	enhancement[33	NOUN
ajst-21770	83	31	-	-	PUNCT
ajst-21770	83	32	37	37	NUM
ajst-21770	83	33	]	]	PUNCT
ajst-21770	83	34	.	.	PUNCT
ajst-21770	84	1	simple	simple	ADJ
ajst-21770	84	2	fusion	fusion	NOUN
ajst-21770	84	3	methods[33	methods[33	NOUN
ajst-21770	84	4	]	]	PUNCT
ajst-21770	84	5	directly	directly	ADV
ajst-21770	84	6	perform	perform	VERB
ajst-21770	84	7	element	element	ADJ
ajst-21770	84	8	-	-	ADJ
ajst-21770	84	9	wise	wise	ADJ
ajst-21770	84	10	algebraic	algebraic	ADJ
ajst-21770	84	11	operations	operation	NOUN
ajst-21770	84	12	on	on	ADP
ajst-21770	84	13	dual	dual	ADJ
ajst-21770	84	14	-	-	PUNCT
ajst-21770	84	15	temporal	temporal	ADJ
ajst-21770	84	16	features	feature	NOUN
ajst-21770	84	17	for	for	ADP
ajst-21770	84	18	fusion	fusion	NOUN
ajst-21770	84	19	,	,	PUNCT
ajst-21770	84	20	which	which	PRON
ajst-21770	84	21	are	be	AUX
ajst-21770	84	22	prone	prone	ADJ
ajst-21770	84	23	to	to	ADP
ajst-21770	84	24	noise	noise	NOUN
ajst-21770	84	25	interference	interference	NOUN
ajst-21770	84	26	and	and	CCONJ
ajst-21770	84	27	difficult	difficult	ADJ
ajst-21770	84	28	to	to	PART
ajst-21770	84	29	achieve	achieve	VERB
ajst-21770	84	30	effective	effective	ADJ
ajst-21770	84	31	feature	feature	NOUN
ajst-21770	84	32	fusion	fusion	NOUN
ajst-21770	84	33	.	.	PUNCT
ajst-21770	85	1	convolution	convolution	NOUN
ajst-21770	85	2	enhancement	enhancement	NOUN
ajst-21770	85	3	methods[35	methods[35	PROPN
ajst-21770	85	4	]	]	PUNCT
ajst-21770	85	5	use	use	NOUN
ajst-21770	85	6	convolution	convolution	NOUN
ajst-21770	85	7	operations	operation	NOUN
ajst-21770	85	8	to	to	PART
ajst-21770	85	9	reduce	reduce	VERB
ajst-21770	85	10	noise	noise	NOUN
ajst-21770	85	11	and	and	CCONJ
ajst-21770	85	12	enhance	enhance	VERB
ajst-21770	85	13	features	feature	NOUN
ajst-21770	85	14	before	before	ADP
ajst-21770	85	15	fusion	fusion	NOUN
ajst-21770	85	16	,	,	PUNCT
ajst-21770	85	17	but	but	CCONJ
ajst-21770	85	18	they	they	PRON
ajst-21770	85	19	mainly	mainly	ADV
ajst-21770	85	20	focus	focus	VERB
ajst-21770	85	21	on	on	ADP
ajst-21770	85	22	feature	feature	NOUN
ajst-21770	85	23	enhancement	enhancement	NOUN
ajst-21770	85	24	before	before	ADP
ajst-21770	85	25	fusion	fusion	NOUN
ajst-21770	85	26	and	and	CCONJ
ajst-21770	85	27	ignore	ignore	VERB
ajst-21770	85	28	the	the	DET
ajst-21770	85	29	temporal	temporal	ADJ
ajst-21770	85	30	information	information	NOUN
ajst-21770	85	31	between	between	ADP
ajst-21770	85	32	dual	dual	ADJ
ajst-21770	85	33	-	-	PUNCT
ajst-21770	85	34	temporal	temporal	ADJ
ajst-21770	85	35	features	feature	NOUN
ajst-21770	85	36	.	.	PUNCT
ajst-21770	86	1	attention	attention	NOUN
ajst-21770	86	2	enhancement	enhancement	NOUN
ajst-21770	86	3	methods	method	NOUN
ajst-21770	86	4	utilize	utilize	VERB
ajst-21770	86	5	the	the	DET
ajst-21770	86	6	attention	attention	NOUN
ajst-21770	86	7	mechanism	mechanism	NOUN
ajst-21770	86	8	to	to	PART
ajst-21770	86	9	achieve	achieve	VERB
ajst-21770	86	10	effective	effective	ADJ
ajst-21770	86	11	feature	feature	NOUN
ajst-21770	86	12	fusion	fusion	NOUN
ajst-21770	86	13	,	,	PUNCT
ajst-21770	86	14	but	but	CCONJ
ajst-21770	86	15	this	this	DET
ajst-21770	86	16	approach	approach	NOUN
ajst-21770	86	17	mainly	mainly	ADV
ajst-21770	86	18	focuses	focus	VERB
ajst-21770	86	19	on	on	ADP
ajst-21770	86	20	feature	feature	NOUN
ajst-21770	86	21	enhancement	enhancement	NOUN
ajst-21770	86	22	after	after	ADP
ajst-21770	86	23	simple	simple	ADJ
ajst-21770	86	24	fusion	fusion	NOUN
ajst-21770	86	25	and	and	CCONJ
ajst-21770	86	26	also	also	ADV
ajst-21770	86	27	neglects	neglect	VERB
ajst-21770	86	28	the	the	DET
ajst-21770	86	29	temporal	temporal	ADJ
ajst-21770	86	30	information	information	NOUN
ajst-21770	86	31	between	between	ADP
ajst-21770	86	32	dual	dual	ADJ
ajst-21770	86	33	-	-	PUNCT
ajst-21770	86	34	temporal	temporal	ADJ
ajst-21770	86	35	features	feature	NOUN
ajst-21770	86	36	.	.	PUNCT
ajst-21770	87	1	channel	channel	PROPN
ajst-21770	87	2	branch	branch	PROPN
ajst-21770	87	3	sc	sc	PROPN
ajst-21770	87	4	ss	ss	PROPN
ajst-21770	87	5	avgpool	avgpool	PROPN
ajst-21770	87	6	;	;	PUNCT
ajst-21770	87	7	maxpool	maxpool	PROPN
ajst-21770	87	8	avgpool	avgpool	PROPN
ajst-21770	87	9	;	;	PUNCT
ajst-21770	87	10	maxpool	maxpool	PROPN
ajst-21770	87	11	t1	t1	PROPN
ajst-21770	87	12	t2	t2	PROPN
ajst-21770	87	13	pooling	pooling	NOUN
ajst-21770	87	14	in	in	ADP
ajst-21770	87	15	spatial	spatial	ADJ
ajst-21770	87	16	dimension	dimension	NOUN
ajst-21770	87	17	pooling	pool	VERB
ajst-21770	87	18	in	in	ADP
ajst-21770	87	19	channel	channel	NOUN
ajst-21770	87	20	dimension	dimension	NOUN
ajst-21770	87	21	one	one	NUM
ajst-21770	87	22	-	-	PUNCT
ajst-21770	87	23	dimension	dimension	NOUN
ajst-21770	87	24	convclution	convclution	NOUN
ajst-21770	87	25	two	two	NUM
ajst-21770	87	26	-	-	PUNCT
ajst-21770	87	27	dimension	dimension	NOUN
ajst-21770	87	28	convolution	convolution	NOUN
ajst-21770	87	29	elementwise	elementwise	NOUN
ajst-21770	87	30	addition	addition	NOUN
ajst-21770	87	31	elementwise	elementwise	NOUN
ajst-21770	87	32	multiplication	multiplication	NOUN
ajst-21770	87	33	wc0	wc0	PROPN
ajst-21770	87	34	softmax	softmax	X
ajst-21770	87	35	ws0	ws0	VERB
ajst-21770	88	1	ws1	ws1	PROPN
ajst-21770	88	2	output	output	PROPN
ajst-21770	88	3	spatial	spatial	ADJ
ajst-21770	88	4	branch	branch	NOUN
ajst-21770	88	5	avgpool	avgpool	NOUN
ajst-21770	88	6	;	;	PUNCT
ajst-21770	89	1	maxpool	maxpool	ADP
ajst-21770	89	2	ws2	ws2	NOUN
ajst-21770	89	3	k	k	PROPN
ajst-21770	89	4	k	k	PROPN
ajst-21770	89	5	k	k	PROPN
ajst-21770	89	6	wc1	wc1	PROPN
ajst-21770	89	7	wc2	wc2	PROPN
ajst-21770	89	8	softmax	softmax	PROPN
ajst-21770	89	9	t0	t0	PROPN
ajst-21770	89	10	elementwise	elementwise	VERB
ajst-21770	89	11	subtraction	subtraction	NOUN
ajst-21770	89	12	figure	figure	NOUN
ajst-21770	89	13	4	4	NUM
ajst-21770	89	14	.	.	PUNCT
ajst-21770	89	15	illustration	illustration	NOUN
ajst-21770	89	16	of	of	ADP
ajst-21770	89	17	the	the	DET
ajst-21770	89	18	structure	structure	NOUN
ajst-21770	89	19	of	of	ADP
ajst-21770	89	20	dfam	dfam	PROPN
ajst-21770	89	21	.	.	PUNCT
ajst-21770	90	1	to	to	PART
ajst-21770	90	2	overcome	overcome	VERB
ajst-21770	90	3	the	the	DET
ajst-21770	90	4	challenges	challenge	NOUN
ajst-21770	90	5	in	in	ADP
ajst-21770	90	6	dual	dual	ADJ
ajst-21770	90	7	-	-	PUNCT
ajst-21770	90	8	temporal	temporal	ADJ
ajst-21770	90	9	feature	feature	NOUN
ajst-21770	90	10	fusion	fusion	NOUN
ajst-21770	90	11	,	,	PUNCT
ajst-21770	90	12	this	this	DET
ajst-21770	90	13	study	study	NOUN
ajst-21770	90	14	proposes	propose	VERB
ajst-21770	90	15	an	an	DET
ajst-21770	90	16	attention	attention	NOUN
ajst-21770	90	17	-	-	PUNCT
ajst-21770	90	18	based	base	VERB
ajst-21770	90	19	fusion	fusion	NOUN
ajst-21770	90	20	module	module	NOUN
ajst-21770	90	21	called	call	VERB
ajst-21770	90	22	the	the	DET
ajst-21770	90	23	dfma	dfma	NOUN
ajst-21770	90	24	mechanism	mechanism	NOUN
ajst-21770	90	25	,	,	PUNCT
ajst-21770	90	26	as	as	SCONJ
ajst-21770	90	27	shown	show	VERB
ajst-21770	90	28	in	in	ADP
ajst-21770	90	29	figure	figure	NOUN
ajst-21770	90	30	4	4	NUM
ajst-21770	90	31	.	.	PUNCT
ajst-21770	91	1	let	let	VERB
ajst-21770	91	2	t1	t1	NOUN
ajst-21770	91	3	,	,	PUNCT
ajst-21770	91	4	t2	t2	PROPN
ajst-21770	91	5	∈	∈	PROPN
ajst-21770	91	6	rb	rb	NOUN
ajst-21770	91	7	×	×	PROPN
ajst-21770	91	8	c	c	NOUN
ajst-21770	91	9	×	×	NOUN
ajst-21770	91	10	h	h	NOUN
ajst-21770	91	11	×	×	NOUN
ajst-21770	92	1	w	w	NOUN
ajst-21770	92	2	be	be	AUX
ajst-21770	92	3	the	the	DET
ajst-21770	92	4	input	input	NOUN
ajst-21770	92	5	dual	dual	ADJ
ajst-21770	92	6	-	-	PUNCT
ajst-21770	92	7	temporal	temporal	ADJ
ajst-21770	92	8	feature	feature	NOUN
ajst-21770	92	9	maps	map	NOUN
ajst-21770	92	10	,	,	PUNCT
ajst-21770	92	11	where	where	SCONJ
ajst-21770	92	12	b	b	NOUN
ajst-21770	92	13	represents	represent	VERB
ajst-21770	92	14	the	the	DET
ajst-21770	92	15	batch	batch	NOUN
ajst-21770	92	16	size	size	NOUN
ajst-21770	92	17	,	,	PUNCT
ajst-21770	92	18	c	c	PROPN
ajst-21770	92	19	represents	represent	VERB
ajst-21770	92	20	the	the	DET
ajst-21770	92	21	number	number	NOUN
ajst-21770	92	22	of	of	ADP
ajst-21770	92	23	channels	channel	NOUN
ajst-21770	92	24	,	,	PUNCT
ajst-21770	92	25	and	and	CCONJ
ajst-21770	92	26	h	h	NOUN
ajst-21770	92	27	and	and	CCONJ
ajst-21770	92	28	w	w	PROPN
ajst-21770	92	29	are	be	AUX
ajst-21770	92	30	the	the	DET
ajst-21770	92	31	height	height	NOUN
ajst-21770	92	32	and	and	CCONJ
ajst-21770	92	33	width	width	NOUN
ajst-21770	92	34	of	of	ADP
ajst-21770	92	35	the	the	DET
ajst-21770	92	36	feature	feature	NOUN
ajst-21770	92	37	maps	map	NOUN
ajst-21770	92	38	,	,	PUNCT
ajst-21770	92	39	respectively	respectively	ADV
ajst-21770	92	40	.	.	PUNCT
ajst-21770	93	1	the	the	DET
ajst-21770	93	2	cosine	cosine	NOUN
ajst-21770	93	3	similarity	similarity	NOUN
ajst-21770	93	4	is	be	AUX
ajst-21770	93	5	calculated	calculate	VERB
ajst-21770	93	6	for	for	ADP
ajst-21770	93	7	t1	t1	NOUN
ajst-21770	93	8	and	and	CCONJ
ajst-21770	93	9	t2	t2	NOUN
ajst-21770	93	10	,	,	PUNCT
ajst-21770	93	11	as	as	SCONJ
ajst-21770	93	12	shown	show	VERB
ajst-21770	93	13	in	in	ADP
ajst-21770	93	14	equation	equation	NOUN
ajst-21770	93	15	2	2	NUM
ajst-21770	93	16	.	.	PUNCT
ajst-21770	94	1	after	after	ADP
ajst-21770	94	2	obtaining	obtain	VERB
ajst-21770	94	3	the	the	DET
ajst-21770	94	4	similarity	similarity	NOUN
ajst-21770	94	5	matrix	matrix	NOUN
ajst-21770	94	6	coefficient	coefficient	NOUN
ajst-21770	94	7	i	i	PRON
ajst-21770	94	8	,	,	PUNCT
ajst-21770	94	9	the	the	DET
ajst-21770	94	10	change	change	NOUN
ajst-21770	94	11	feature	feature	NOUN
ajst-21770	94	12	map	map	NOUN
ajst-21770	94	13	tc	tc	NOUN
ajst-21770	94	14	is	be	AUX
ajst-21770	94	15	computed	compute	VERB
ajst-21770	94	16	as	as	SCONJ
ajst-21770	94	17	shown	show	VERB
ajst-21770	94	18	in	in	ADP
ajst-21770	94	19	equation	equation	NOUN
ajst-21770	94	20	3	3	NUM
ajst-21770	94	21	.	.	PUNCT
ajst-21770	95	1	𝐼	𝐼	ADV
ajst-21770	95	2	∑	∑	ADV
ajst-21770	95	3	,	,	PUNCT
ajst-21770	95	4	,	,	PUNCT
ajst-21770	95	5	,	,	PUNCT
ajst-21770	95	6	∑	∑	ADP
ajst-21770	95	7	,	,	PUNCT
ajst-21770	95	8	,	,	PUNCT
ajst-21770	95	9	∑	∑	ADP
ajst-21770	95	10	,	,	PUNCT
ajst-21770	95	11	,	,	PUNCT
ajst-21770	95	12	(	(	PUNCT
ajst-21770	95	13	2	2	X
ajst-21770	95	14	)	)	PUNCT
ajst-21770	95	15	𝑇	𝑇	PROPN
ajst-21770	95	16	𝑇	𝑇	PROPN
ajst-21770	95	17	𝑆𝑜𝑓𝑡𝑀𝑎𝑥	𝑆𝑜𝑓𝑡𝑀𝑎𝑥	PROPN
ajst-21770	95	18	1	1	NUM
ajst-21770	95	19	𝐼	𝐼	ADP
ajst-21770	95	20	𝑇	𝑇	PROPN
ajst-21770	95	21	(	(	PUNCT
ajst-21770	95	22	3	3	NUM
ajst-21770	95	23	)	)	PUNCT
ajst-21770	95	24	in	in	ADP
ajst-21770	95	25	the	the	DET
ajst-21770	95	26	dfma	dfma	NOUN
ajst-21770	95	27	module	module	NOUN
ajst-21770	95	28	,	,	PUNCT
ajst-21770	95	29	t1	t1	NOUN
ajst-21770	95	30	,	,	PUNCT
ajst-21770	95	31	t2	t2	NOUN
ajst-21770	95	32	,	,	PUNCT
ajst-21770	95	33	and	and	CCONJ
ajst-21770	95	34	tc	tc	NOUN
ajst-21770	95	35	are	be	AUX
ajst-21770	95	36	used	use	VERB
ajst-21770	95	37	to	to	PART
ajst-21770	95	38	aggregate	aggregate	VERB
ajst-21770	95	39	channel	channel	NOUN
ajst-21770	95	40	and	and	CCONJ
ajst-21770	95	41	spatial	spatial	ADJ
ajst-21770	95	42	information	information	NOUN
ajst-21770	95	43	to	to	PART
ajst-21770	95	44	determine	determine	VERB
ajst-21770	95	45	the	the	DET
ajst-21770	95	46	important	important	ADJ
ajst-21770	95	47	parts	part	NOUN
ajst-21770	95	48	in	in	ADP
ajst-21770	95	49	the	the	DET
ajst-21770	95	50	dual	dual	ADJ
ajst-21770	95	51	-	-	PUNCT
ajst-21770	95	52	temporal	temporal	ADJ
ajst-21770	95	53	feature	feature	NOUN
ajst-21770	95	54	map	map	NOUN
ajst-21770	95	55	.	.	PUNCT
ajst-21770	96	1	in	in	ADP
ajst-21770	96	2	the	the	DET
ajst-21770	96	3	channel	channel	NOUN
ajst-21770	96	4	dimension	dimension	NOUN
ajst-21770	96	5	,	,	PUNCT
ajst-21770	96	6	the	the	DET
ajst-21770	96	7	input	input	NOUN
ajst-21770	96	8	feature	feature	NOUN
ajst-21770	96	9	information	information	NOUN
ajst-21770	96	10	is	be	AUX
ajst-21770	96	11	aggregated	aggregate	VERB
ajst-21770	96	12	by	by	ADP
ajst-21770	96	13	global	global	ADJ
ajst-21770	96	14	pooling	pooling	NOUN
ajst-21770	96	15	across	across	ADP
ajst-21770	96	16	the	the	DET
ajst-21770	96	17	spatial	spatial	ADJ
ajst-21770	96	18	dimension	dimension	NOUN
ajst-21770	96	19	.	.	PUNCT
ajst-21770	97	1	the	the	DET
ajst-21770	97	2	aggregation	aggregation	NOUN
ajst-21770	97	3	process	process	NOUN
ajst-21770	97	4	can	can	AUX
ajst-21770	97	5	be	be	AUX
ajst-21770	97	6	formulated	formulate	VERB
ajst-21770	97	7	as	as	ADP
ajst-21770	97	8	equation	equation	NOUN
ajst-21770	97	9	4	4	NUM
ajst-21770	97	10	,	,	PUNCT
ajst-21770	97	11	where	where	SCONJ
ajst-21770	97	12	sc	sc	PROPN
ajst-21770	97	13	represents	represent	VERB
ajst-21770	97	14	the	the	DET
ajst-21770	97	15	aggregated	aggregated	ADJ
ajst-21770	97	16	spatial	spatial	ADJ
ajst-21770	97	17	feature	feature	NOUN
ajst-21770	97	18	,	,	PUNCT
ajst-21770	97	19	avg	avg	PROPN
ajst-21770	97	20	(	(	PUNCT
ajst-21770	97	21	.	.	PUNCT
ajst-21770	97	22	)	)	PUNCT
ajst-21770	98	1	and	and	CCONJ
ajst-21770	98	2	max	max	PROPN
ajst-21770	98	3	(	(	PUNCT
ajst-21770	98	4	.	.	PUNCT
ajst-21770	98	5	)	)	PUNCT
ajst-21770	98	6	respectively	respectively	ADV
ajst-21770	98	7	represent	represent	VERB
ajst-21770	98	8	global	global	ADJ
ajst-21770	98	9	average	average	ADJ
ajst-21770	98	10	pooling	pooling	NOUN
ajst-21770	98	11	and	and	CCONJ
ajst-21770	98	12	global	global	ADJ
ajst-21770	98	13	maximum	maximum	ADJ
ajst-21770	98	14	pooling	pooling	NOUN
ajst-21770	98	15	across	across	ADP
ajst-21770	98	16	the	the	DET
ajst-21770	98	17	spatial	spatial	ADJ
ajst-21770	98	18	dimension	dimension	NOUN
ajst-21770	98	19	.	.	PUNCT
ajst-21770	99	1	the	the	DET
ajst-21770	99	2	channel	channel	NOUN
ajst-21770	99	3	weight	weight	NOUN
ajst-21770	99	4	coefficients	coefficient	NOUN
ajst-21770	99	5	are	be	AUX
ajst-21770	99	6	confirmed	confirm	VERB
ajst-21770	99	7	through	through	ADP
ajst-21770	99	8	one	one	NUM
ajst-21770	99	9	-	-	PUNCT
ajst-21770	99	10	dimensional	dimensional	ADJ
ajst-21770	99	11	convolution	convolution	NOUN
ajst-21770	99	12	,	,	PUNCT
ajst-21770	99	13	as	as	SCONJ
ajst-21770	99	14	shown	show	VERB
ajst-21770	99	15	in	in	ADP
ajst-21770	99	16	equation	equation	NOUN
ajst-21770	99	17	5	5	NUM
ajst-21770	99	18	,	,	PUNCT
ajst-21770	99	19	where	where	SCONJ
ajst-21770	99	20	conv1	conv1	NOUN
ajst-21770	99	21	represents	represent	VERB
ajst-21770	99	22	one	one	NUM
ajst-21770	99	23	-	-	PUNCT
ajst-21770	99	24	dimensional	dimensional	ADJ
ajst-21770	99	25	convolution	convolution	NOUN
ajst-21770	99	26	.	.	PUNCT
ajst-21770	100	1	the	the	DET
ajst-21770	100	2	softmax	softmax	NOUN
ajst-21770	100	3	function	function	NOUN
ajst-21770	100	4	is	be	AUX
ajst-21770	100	5	used	use	VERB
ajst-21770	100	6	118	118	NUM
ajst-21770	100	7	to	to	PART
ajst-21770	100	8	determine	determine	VERB
ajst-21770	100	9	the	the	DET
ajst-21770	100	10	weights	weight	NOUN
ajst-21770	100	11	𝑊	𝑊	PROPN
ajst-21770	100	12	,	,	PUNCT
ajst-21770	100	13	𝑊	𝑊	PROPN
ajst-21770	100	14	,	,	PUNCT
ajst-21770	100	15	𝑊	𝑊	PROPN
ajst-21770	100	16	of	of	ADP
ajst-21770	100	17	different	different	ADJ
ajst-21770	100	18	features	feature	NOUN
ajst-21770	100	19	in	in	ADP
ajst-21770	100	20	the	the	DET
ajst-21770	100	21	channel	channel	NOUN
ajst-21770	100	22	dimension	dimension	NOUN
ajst-21770	100	23	,	,	PUNCT
ajst-21770	100	24	thereby	thereby	ADV
ajst-21770	100	25	more	more	ADV
ajst-21770	100	26	effectively	effectively	ADV
ajst-21770	100	27	fusing	fuse	VERB
ajst-21770	100	28	these	these	DET
ajst-21770	100	29	features	feature	NOUN
ajst-21770	100	30	,	,	PUNCT
ajst-21770	100	31	as	as	SCONJ
ajst-21770	100	32	shown	show	VERB
ajst-21770	100	33	in	in	ADP
ajst-21770	100	34	equation	equation	NOUN
ajst-21770	100	35	6	6	NUM
ajst-21770	100	36	.	.	PUNCT
ajst-21770	101	1	spatial	spatial	ADJ
ajst-21770	101	2	weights	weight	NOUN
ajst-21770	101	3	𝑊	𝑊	PROPN
ajst-21770	101	4	,	,	PUNCT
ajst-21770	101	5	𝑊	𝑊	PROPN
ajst-21770	101	6	,	,	PUNCT
ajst-21770	101	7	𝑊	𝑊	PROPN
ajst-21770	101	8	are	be	AUX
ajst-21770	101	9	determined	determine	VERB
ajst-21770	101	10	in	in	ADP
ajst-21770	101	11	the	the	DET
ajst-21770	101	12	same	same	ADJ
ajst-21770	101	13	way	way	NOUN
ajst-21770	101	14	in	in	ADP
ajst-21770	101	15	the	the	DET
ajst-21770	101	16	spatial	spatial	ADJ
ajst-21770	101	17	dimension	dimension	NOUN
ajst-21770	101	18	to	to	PART
ajst-21770	101	19	determine	determine	VERB
ajst-21770	101	20	the	the	DET
ajst-21770	101	21	important	important	ADJ
ajst-21770	101	22	parts	part	NOUN
ajst-21770	101	23	among	among	ADP
ajst-21770	101	24	spatial	spatial	ADJ
ajst-21770	101	25	dimensional	dimensional	ADJ
ajst-21770	101	26	features	feature	NOUN
ajst-21770	101	27	.	.	PUNCT
ajst-21770	102	1	the	the	DET
ajst-21770	102	2	dual	dual	ADJ
ajst-21770	102	3	-	-	PUNCT
ajst-21770	102	4	temporal	temporal	ADJ
ajst-21770	102	5	channel	channel	NOUN
ajst-21770	102	6	weights	weight	NOUN
ajst-21770	102	7	and	and	CCONJ
ajst-21770	102	8	dual	dual	ADJ
ajst-21770	102	9	-	-	PUNCT
ajst-21770	102	10	temporal	temporal	ADJ
ajst-21770	102	11	spatial	spatial	ADJ
ajst-21770	102	12	weights	weight	NOUN
ajst-21770	102	13	are	be	AUX
ajst-21770	102	14	combined	combine	VERB
ajst-21770	102	15	to	to	PART
ajst-21770	102	16	determine	determine	VERB
ajst-21770	102	17	the	the	DET
ajst-21770	102	18	important	important	ADJ
ajst-21770	102	19	parts	part	NOUN
ajst-21770	102	20	between	between	ADP
ajst-21770	102	21	features	feature	NOUN
ajst-21770	102	22	,	,	PUNCT
ajst-21770	102	23	as	as	SCONJ
ajst-21770	102	24	shown	show	VERB
ajst-21770	102	25	in	in	ADP
ajst-21770	102	26	equation	equation	NOUN
ajst-21770	102	27	7	7	NUM
ajst-21770	102	28	.	.	PUNCT
ajst-21770	103	1	𝑆	𝑆	PROPN
ajst-21770	103	2	𝐶𝑜𝑛𝑐𝑎𝑡	𝐶𝑜𝑛𝑐𝑎𝑡	PROPN
ajst-21770	103	3	𝐴𝑣𝑔	𝐴𝑣𝑔	PROPN
ajst-21770	103	4	𝑇	𝑇	PROPN
ajst-21770	103	5	,	,	PUNCT
ajst-21770	103	6	𝑀𝑎𝑥	𝑀𝑎𝑥	PROPN
ajst-21770	103	7	𝑇	𝑇	PROPN
ajst-21770	103	8	,	,	PUNCT
ajst-21770	103	9	𝐴𝑣𝑔	𝐴𝑣𝑔	PROPN
ajst-21770	103	10	𝑇	𝑇	PROPN
ajst-21770	103	11	,	,	PUNCT
ajst-21770	103	12	𝑀𝑎𝑥	𝑀𝑎𝑥	PROPN
ajst-21770	103	13	𝑇	𝑇	PROPN
ajst-21770	103	14	,	,	PUNCT
ajst-21770	103	15	𝐴𝑣𝑔	𝐴𝑣𝑔	PROPN
ajst-21770	103	16	𝑇	𝑇	PROPN
ajst-21770	103	17	,	,	PUNCT
ajst-21770	103	18	𝑀𝑎𝑥	𝑀𝑎𝑥	PROPN
ajst-21770	103	19	𝑇	𝑇	PROPN
ajst-21770	103	20	(	(	PUNCT
ajst-21770	103	21	4	4	NUM
ajst-21770	103	22	)	)	PUNCT
ajst-21770	103	23	𝑊	𝑊	PROPN
ajst-21770	103	24	,	,	PUNCT
ajst-21770	103	25	𝑊	𝑊	PROPN
ajst-21770	103	26	,	,	PUNCT
ajst-21770	103	27	𝑊	𝑊	PROPN
ajst-21770	103	28	𝐶𝑜𝑛𝑣	𝐶𝑜𝑛𝑣	PROPN
ajst-21770	103	29	𝑆	𝑆	PROPN
ajst-21770	103	30	,	,	PUNCT
ajst-21770	103	31	𝐶𝑜𝑛𝑣	𝐶𝑜𝑛𝑣	PROPN
ajst-21770	103	32	𝑆	𝑆	PROPN
ajst-21770	103	33	,	,	PUNCT
ajst-21770	103	34	𝐶𝑜𝑛𝑣	𝐶𝑜𝑛𝑣	PROPN
ajst-21770	103	35	𝑆	𝑆	PROPN
ajst-21770	103	36	(	(	PUNCT
ajst-21770	103	37	5	5	NUM
ajst-21770	103	38	)	)	PUNCT
ajst-21770	103	39	𝑊	𝑊	PROPN
ajst-21770	103	40	(	(	PUNCT
ajst-21770	103	41	6	6	NUM
ajst-21770	103	42	)	)	PUNCT
ajst-21770	103	43	𝑜𝑢𝑡𝑝𝑢𝑡	𝑜𝑢𝑡𝑝𝑢𝑡	NOUN
ajst-21770	103	44	𝑊	𝑊	PROPN
ajst-21770	103	45	𝑊	𝑊	PROPN
ajst-21770	103	46	∗	∗	NOUN
ajst-21770	103	47	𝑇	𝑇	NOUN
ajst-21770	103	48	𝑊	𝑊	PROPN
ajst-21770	103	49	𝑊	𝑊	PROPN
ajst-21770	103	50	∗	∗	NOUN
ajst-21770	103	51	𝑇	𝑇	NOUN
ajst-21770	103	52	𝑊	𝑊	PROPN
ajst-21770	103	53	𝑊	𝑊	PROPN
ajst-21770	103	54	∗	∗	NOUN
ajst-21770	103	55	𝑇	𝑇	PROPN
ajst-21770	103	56	(	(	PUNCT
ajst-21770	103	57	7	7	NUM
ajst-21770	103	58	)	)	PUNCT
ajst-21770	103	59	3.3	3.3	NUM
ajst-21770	103	60	.	.	PUNCT
ajst-21770	104	1	decoder	decoder	NOUN
ajst-21770	104	2	part	part	NOUN
ajst-21770	104	3	deru	deru	PROPN
ajst-21770	104	4	-	-	PUNCT
ajst-21770	104	5	net	net	NOUN
ajst-21770	104	6	incorporates	incorporate	VERB
ajst-21770	104	7	two	two	NUM
ajst-21770	104	8	independent	independent	ADJ
ajst-21770	104	9	decoders	decoder	NOUN
ajst-21770	104	10	.	.	PUNCT
ajst-21770	105	1	as	as	SCONJ
ajst-21770	105	2	shown	show	VERB
ajst-21770	105	3	in	in	ADP
ajst-21770	105	4	the	the	DET
ajst-21770	105	5	following	follow	VERB
ajst-21770	105	6	figure	figure	NOUN
ajst-21770	105	7	,	,	PUNCT
ajst-21770	105	8	decoder	decoder	NOUN
ajst-21770	105	9	a	a	PRON
ajst-21770	105	10	is	be	AUX
ajst-21770	105	11	primarily	primarily	ADV
ajst-21770	105	12	responsible	responsible	ADJ
ajst-21770	105	13	for	for	ADP
ajst-21770	105	14	building	build	VERB
ajst-21770	105	15	localization	localization	NOUN
ajst-21770	105	16	.	.	PUNCT
ajst-21770	106	1	it	it	PRON
ajst-21770	106	2	integrates	integrate	VERB
ajst-21770	106	3	the	the	DET
ajst-21770	106	4	features	feature	NOUN
ajst-21770	106	5	from	from	ADP
ajst-21770	106	6	the	the	DET
ajst-21770	106	7	t1	t1	NOUN
ajst-21770	106	8	decoder	decoder	NOUN
ajst-21770	106	9	and	and	CCONJ
ajst-21770	106	10	the	the	DET
ajst-21770	106	11	building	building	NOUN
ajst-21770	106	12	encoder	encoder	NOUN
ajst-21770	106	13	through	through	ADP
ajst-21770	106	14	skip	skip	ADJ
ajst-21770	106	15	connections	connection	NOUN
ajst-21770	106	16	to	to	PART
ajst-21770	106	17	precisely	precisely	ADV
ajst-21770	106	18	locate	locate	VERB
ajst-21770	106	19	the	the	DET
ajst-21770	106	20	building	building	NOUN
ajst-21770	106	21	area	area	NOUN
ajst-21770	106	22	and	and	CCONJ
ajst-21770	106	23	generate	generate	VERB
ajst-21770	106	24	a	a	DET
ajst-21770	106	25	building	building	NOUN
ajst-21770	106	26	localization	localization	NOUN
ajst-21770	106	27	mask	mask	NOUN
ajst-21770	106	28	file	file	NOUN
ajst-21770	106	29	.	.	PUNCT
ajst-21770	107	1	let	let	VERB
ajst-21770	107	2	the	the	DET
ajst-21770	107	3	output	output	NOUN
ajst-21770	107	4	of	of	ADP
ajst-21770	107	5	the	the	DET
ajst-21770	107	6	building	building	NOUN
ajst-21770	107	7	localization	localization	NOUN
ajst-21770	107	8	part	part	NOUN
ajst-21770	107	9	be	be	VERB
ajst-21770	107	10	p_b	p_b	ADP
ajst-21770	107	11	∈	∈	PROPN
ajst-21770	107	12	r^(2×h×w	r^(2×h×w	NOUN
ajst-21770	107	13	)	)	PUNCT
ajst-21770	107	14	,	,	PUNCT
ajst-21770	107	15	where	where	SCONJ
ajst-21770	107	16	h	h	NOUN
ajst-21770	107	17	and	and	CCONJ
ajst-21770	107	18	w	w	PROPN
ajst-21770	107	19	represent	represent	VERB
ajst-21770	107	20	the	the	DET
ajst-21770	107	21	height	height	NOUN
ajst-21770	107	22	and	and	CCONJ
ajst-21770	107	23	width	width	NOUN
ajst-21770	107	24	of	of	ADP
ajst-21770	107	25	the	the	DET
ajst-21770	107	26	output	output	NOUN
ajst-21770	107	27	,	,	PUNCT
ajst-21770	107	28	respectively	respectively	ADV
ajst-21770	107	29	.	.	PUNCT
ajst-21770	108	1	the	the	DET
ajst-21770	108	2	building	building	NOUN
ajst-21770	108	3	localization	localization	NOUN
ajst-21770	108	4	result	result	NOUN
ajst-21770	108	5	can	can	AUX
ajst-21770	108	6	be	be	AUX
ajst-21770	108	7	expressed	express	VERB
ajst-21770	108	8	as	as	ADP
ajst-21770	108	9	equation	equation	NOUN
ajst-21770	108	10	8	8	NUM
ajst-21770	108	11	,	,	PUNCT
ajst-21770	108	12	where	where	SCONJ
ajst-21770	108	13	p_b	p_b	ADV
ajst-21770	108	14	∈	∈	PRON
ajst-21770	108	15	{	{	PUNCT
ajst-21770	108	16	"	"	PUNCT
ajst-21770	108	17	0	0	NUM
ajst-21770	108	18	,	,	PUNCT
ajst-21770	108	19	1	1	NUM
ajst-21770	108	20	"	"	PUNCT
ajst-21770	108	21	}	}	PUNCT
ajst-21770	108	22	^(1×h×w	^(1×h×w	NUM
ajst-21770	108	23	)	)	PUNCT
ajst-21770	108	24	with	with	ADP
ajst-21770	108	25	1	1	NUM
ajst-21770	108	26	representing	represent	VERB
ajst-21770	108	27	the	the	DET
ajst-21770	108	28	building	building	NOUN
ajst-21770	108	29	and	and	CCONJ
ajst-21770	108	30	0	0	NUM
ajst-21770	108	31	representing	represent	VERB
ajst-21770	108	32	the	the	DET
ajst-21770	108	33	background	background	NOUN
ajst-21770	108	34	.	.	PUNCT
ajst-21770	109	1	decoder	decoder	NOUN
ajst-21770	109	2	b	b	NOUN
ajst-21770	109	3	utilizes	utilize	VERB
ajst-21770	109	4	the	the	DET
ajst-21770	109	5	dual	dual	ADJ
ajst-21770	109	6	-	-	PUNCT
ajst-21770	109	7	temporal	temporal	ADJ
ajst-21770	109	8	fusion	fusion	NOUN
ajst-21770	109	9	with	with	ADP
ajst-21770	109	10	multiattention	multiattention	NOUN
ajst-21770	109	11	(	(	PUNCT
ajst-21770	109	12	dfma	dfma	NOUN
ajst-21770	109	13	)	)	PUNCT
ajst-21770	109	14	module	module	NOUN
ajst-21770	109	15	to	to	PART
ajst-21770	109	16	precisely	precisely	ADV
ajst-21770	109	17	fuse	fuse	VERB
ajst-21770	109	18	the	the	DET
ajst-21770	109	19	dualtemporal	dualtemporal	ADJ
ajst-21770	109	20	features	feature	NOUN
ajst-21770	109	21	and	and	CCONJ
ajst-21770	109	22	generate	generate	VERB
ajst-21770	109	23	the	the	DET
ajst-21770	109	24	final	final	ADJ
ajst-21770	109	25	building	building	NOUN
ajst-21770	109	26	damage	damage	NOUN
ajst-21770	109	27	level	level	NOUN
ajst-21770	109	28	localization	localization	NOUN
ajst-21770	109	29	map	map	NOUN
ajst-21770	109	30	.	.	PUNCT
ajst-21770	110	1	let	let	VERB
ajst-21770	110	2	the	the	DET
ajst-21770	110	3	output	output	NOUN
ajst-21770	110	4	of	of	ADP
ajst-21770	110	5	the	the	DET
ajst-21770	110	6	damage	damage	NOUN
ajst-21770	110	7	assessment	assessment	NOUN
ajst-21770	110	8	be	be	AUX
ajst-21770	110	9	pd	pd	PROPN
ajst-21770	110	10	∈	∈	PROPN
ajst-21770	110	11	r	r	NOUN
ajst-21770	110	12	(	(	PUNCT
ajst-21770	110	13	c×h×w	c×h×w	NUM
ajst-21770	110	14	)	)	PUNCT
ajst-21770	110	15	,	,	PUNCT
ajst-21770	110	16	where	where	SCONJ
ajst-21770	110	17	c	c	PROPN
ajst-21770	110	18	represents	represent	VERB
ajst-21770	110	19	the	the	DET
ajst-21770	110	20	number	number	NOUN
ajst-21770	110	21	of	of	ADP
ajst-21770	110	22	damage	damage	NOUN
ajst-21770	110	23	levels	level	NOUN
ajst-21770	110	24	.	.	PUNCT
ajst-21770	111	1	to	to	PART
ajst-21770	111	2	guide	guide	VERB
ajst-21770	111	3	the	the	DET
ajst-21770	111	4	building	building	NOUN
ajst-21770	111	5	location	location	NOUN
ajst-21770	111	6	,	,	PUNCT
ajst-21770	111	7	the	the	DET
ajst-21770	111	8	final	final	ADJ
ajst-21770	111	9	output	output	NOUN
ajst-21770	111	10	p	p	NOUN
ajst-21770	111	11	is	be	AUX
ajst-21770	111	12	expressed	express	VERB
ajst-21770	111	13	as	as	ADP
ajst-21770	111	14	equation	equation	NOUN
ajst-21770	111	15	9	9	NUM
ajst-21770	111	16	,	,	PUNCT
ajst-21770	111	17	where	where	SCONJ
ajst-21770	111	18	·	·	PUNCT
ajst-21770	111	19	represents	represent	VERB
ajst-21770	111	20	element	element	ADJ
ajst-21770	111	21	-	-	ADJ
ajst-21770	111	22	wise	wise	ADJ
ajst-21770	111	23	multiplication	multiplication	NOUN
ajst-21770	111	24	.	.	PUNCT
ajst-21770	112	1	𝑃	𝑃	NOUN
ajst-21770	112	2	arg	arg	NOUN
ajst-21770	112	3	max	max	PROPN
ajst-21770	112	4	𝑃	𝑃	PROPN
ajst-21770	112	5	(	(	PUNCT
ajst-21770	112	6	8)	8)	NUM
ajst-21770	112	7	𝑜𝑢𝑡𝑝𝑢𝑡	𝑜𝑢𝑡𝑝𝑢𝑡	PROPN
ajst-21770	112	8	arg	arg	NOUN
ajst-21770	112	9	max	max	PROPN
ajst-21770	112	10	𝑃	𝑃	PROPN
ajst-21770	112	11	⋅	⋅	PROPN
ajst-21770	112	12	𝑃	𝑃	NOUN
ajst-21770	112	13	(	(	PUNCT
ajst-21770	112	14	9	9	NUM
ajst-21770	112	15	)	)	PUNCT
ajst-21770	112	16	figure	figure	NOUN
ajst-21770	112	17	5	5	NUM
ajst-21770	112	18	.	.	PUNCT
ajst-21770	112	19	diagram	diagram	NOUN
ajst-21770	112	20	of	of	ADP
ajst-21770	112	21	the	the	DET
ajst-21770	112	22	decoder	decoder	NOUN
ajst-21770	112	23	4	4	NUM
ajst-21770	112	24	.	.	PUNCT
ajst-21770	112	25	experiments	experiment	NOUN
ajst-21770	112	26	4.1	4.1	NUM
ajst-21770	112	27	.	.	PUNCT
ajst-21770	113	1	dataset	dataset	NOUN
ajst-21770	113	2	and	and	CCONJ
ajst-21770	113	3	evaluation	evaluation	NOUN
ajst-21770	113	4	to	to	PART
ajst-21770	113	5	evaluate	evaluate	VERB
ajst-21770	113	6	the	the	DET
ajst-21770	113	7	effectiveness	effectiveness	NOUN
ajst-21770	113	8	of	of	ADP
ajst-21770	113	9	the	the	DET
ajst-21770	113	10	proposed	propose	VERB
ajst-21770	113	11	method	method	NOUN
ajst-21770	113	12	in	in	ADP
ajst-21770	113	13	this	this	DET
ajst-21770	113	14	study	study	NOUN
ajst-21770	113	15	,	,	PUNCT
ajst-21770	113	16	experiments	experiment	NOUN
ajst-21770	113	17	were	be	AUX
ajst-21770	113	18	conducted	conduct	VERB
ajst-21770	113	19	using	use	VERB
ajst-21770	113	20	the	the	DET
ajst-21770	113	21	xbd	xbd	PROPN
ajst-21770	113	22	dataset	dataset	PROPN
ajst-21770	113	23	.	.	PUNCT
ajst-21770	114	1	the	the	DET
ajst-21770	114	2	xbd	xbd	PROPN
ajst-21770	114	3	dataset	dataset	PROPN
ajst-21770	114	4	is	be	AUX
ajst-21770	114	5	the	the	DET
ajst-21770	114	6	largest	large	ADJ
ajst-21770	114	7	and	and	CCONJ
ajst-21770	114	8	highest	high	ADJ
ajst-21770	114	9	-	-	PUNCT
ajst-21770	114	10	quality	quality	NOUN
ajst-21770	114	11	natural	natural	ADJ
ajst-21770	114	12	disaster	disaster	NOUN
ajst-21770	114	13	satellite	satellite	NOUN
ajst-21770	114	14	image	image	NOUN
ajst-21770	114	15	dataset	dataset	VERB
ajst-21770	114	16	available	available	ADJ
ajst-21770	114	17	to	to	ADP
ajst-21770	114	18	date	date	NOUN
ajst-21770	114	19	for	for	ADP
ajst-21770	114	20	assessing	assess	VERB
ajst-21770	114	21	the	the	DET
ajst-21770	114	22	degree	degree	NOUN
ajst-21770	114	23	of	of	ADP
ajst-21770	114	24	building	build	VERB
ajst-21770	114	25	damage	damage	NOUN
ajst-21770	114	26	.	.	PUNCT
ajst-21770	115	1	it	it	PRON
ajst-21770	115	2	contains	contain	VERB
ajst-21770	115	3	a	a	DET
ajst-21770	115	4	total	total	NOUN
ajst-21770	115	5	of	of	ADP
ajst-21770	115	6	19	19	NUM
ajst-21770	115	7	natural	natural	ADJ
ajst-21770	115	8	disaster	disaster	NOUN
ajst-21770	115	9	events	event	NOUN
ajst-21770	115	10	from	from	ADP
ajst-21770	115	11	different	different	ADJ
ajst-21770	115	12	regions	region	NOUN
ajst-21770	115	13	,	,	PUNCT
ajst-21770	115	14	with	with	ADP
ajst-21770	115	15	annotations	annotation	NOUN
ajst-21770	115	16	for	for	ADP
ajst-21770	115	17	over	over	ADP
ajst-21770	115	18	800,000	800,000	NUM
ajst-21770	115	19	buildings	building	NOUN
ajst-21770	115	20	.	.	PUNCT
ajst-21770	116	1	the	the	DET
ajst-21770	116	2	dataset	dataset	NOUN
ajst-21770	116	3	consists	consist	VERB
ajst-21770	116	4	of	of	ADP
ajst-21770	116	5	image	image	NOUN
ajst-21770	116	6	pairs	pair	NOUN
ajst-21770	116	7	(	(	PUNCT
ajst-21770	116	8	pre	pre	NOUN
ajst-21770	116	9	-	-	NOUN
ajst-21770	116	10	disaster	disaster	NOUN
ajst-21770	116	11	and	and	CCONJ
ajst-21770	116	12	post	post	ADJ
ajst-21770	116	13	-	-	NOUN
ajst-21770	116	14	disaster	disaster	NOUN
ajst-21770	116	15	)	)	PUNCT
ajst-21770	116	16	with	with	ADP
ajst-21770	116	17	a	a	DET
ajst-21770	116	18	size	size	NOUN
ajst-21770	116	19	of	of	ADP
ajst-21770	116	20	1024	1024	NUM
ajst-21770	116	21	×	×	NOUN
ajst-21770	116	22	1024	1024	NUM
ajst-21770	116	23	pixels	pixel	NOUN
ajst-21770	116	24	.	.	PUNCT
ajst-21770	117	1	in	in	ADP
ajst-21770	117	2	the	the	DET
ajst-21770	117	3	image	image	NOUN
ajst-21770	117	4	data	datum	NOUN
ajst-21770	117	5	,	,	PUNCT
ajst-21770	117	6	the	the	DET
ajst-21770	117	7	degree	degree	NOUN
ajst-21770	117	8	of	of	ADP
ajst-21770	117	9	building	building	NOUN
ajst-21770	117	10	damage	damage	NOUN
ajst-21770	117	11	is	be	AUX
ajst-21770	117	12	classified	classify	VERB
ajst-21770	117	13	into	into	ADP
ajst-21770	117	14	four	four	NUM
ajst-21770	117	15	levels	level	NOUN
ajst-21770	117	16	:	:	PUNCT
ajst-21770	117	17	no	no	DET
ajst-21770	117	18	damage	damage	NOUN
ajst-21770	117	19	,	,	PUNCT
ajst-21770	117	20	minor	minor	ADJ
ajst-21770	117	21	damage	damage	NOUN
ajst-21770	117	22	,	,	PUNCT
ajst-21770	117	23	major	major	ADJ
ajst-21770	117	24	damage	damage	NOUN
ajst-21770	117	25	,	,	PUNCT
ajst-21770	117	26	and	and	CCONJ
ajst-21770	117	27	destroyed	destroy	VERB
ajst-21770	117	28	.	.	PUNCT
ajst-21770	118	1	4.2	4.2	NUM
ajst-21770	118	2	.	.	PUNCT
ajst-21770	119	1	implementation	implementation	NOUN
ajst-21770	119	2	details	detail	NOUN
ajst-21770	119	3	(	(	PUNCT
ajst-21770	119	4	1)data	1)data	NUM
ajst-21770	119	5	enhancement	enhancement	NOUN
ajst-21770	119	6	strategy	strategy	NOUN
ajst-21770	119	7	.	.	PUNCT
ajst-21770	120	1	in	in	ADP
ajst-21770	120	2	the	the	DET
ajst-21770	120	3	training	training	NOUN
ajst-21770	120	4	stage	stage	NOUN
ajst-21770	120	5	,	,	PUNCT
ajst-21770	120	6	data	datum	NOUN
ajst-21770	120	7	enhancement	enhancement	NOUN
ajst-21770	120	8	techniques	technique	NOUN
ajst-21770	120	9	are	be	AUX
ajst-21770	120	10	applied	apply	VERB
ajst-21770	120	11	to	to	PART
ajst-21770	120	12	enhance	enhance	VERB
ajst-21770	120	13	the	the	DET
ajst-21770	120	14	generalization	generalization	NOUN
ajst-21770	120	15	ability	ability	NOUN
ajst-21770	120	16	of	of	ADP
ajst-21770	120	17	the	the	DET
ajst-21770	120	18	model	model	NOUN
ajst-21770	120	19	,	,	PUNCT
ajst-21770	120	20	including	include	VERB
ajst-21770	120	21	random	random	ADJ
ajst-21770	120	22	flipping	flipping	NOUN
ajst-21770	120	23	(	(	PUNCT
ajst-21770	120	24	probability	probability	NOUN
ajst-21770	120	25	=	=	SYM
ajst-21770	120	26	0.5	0.5	NUM
ajst-21770	120	27	)	)	PUNCT
ajst-21770	120	28	,	,	PUNCT
ajst-21770	120	29	transposition	transposition	NOUN
ajst-21770	120	30	(	(	PUNCT
ajst-21770	120	31	probability	probability	NOUN
ajst-21770	120	32	=	=	SYM
ajst-21770	120	33	0.5	0.5	NUM
ajst-21770	120	34	)	)	PUNCT
ajst-21770	120	35	,	,	PUNCT
ajst-21770	120	36	random	random	ADJ
ajst-21770	120	37	shifting	shifting	NOUN
ajst-21770	120	38	(	(	PUNCT
ajst-21770	120	39	probability	probability	NOUN
ajst-21770	120	40	=	=	SYM
ajst-21770	120	41	0.3	0.3	NUM
ajst-21770	120	42	)	)	PUNCT
ajst-21770	120	43	,	,	PUNCT
ajst-21770	120	44	random	random	ADJ
ajst-21770	120	45	scaling	scaling	NOUN
ajst-21770	120	46	(	(	PUNCT
ajst-21770	120	47	probability	probability	NOUN
ajst-21770	120	48	=	=	SYM
ajst-21770	120	49	0.3	0.3	NUM
ajst-21770	120	50	)	)	PUNCT
ajst-21770	120	51	,	,	PUNCT
ajst-21770	120	52	and	and	CCONJ
ajst-21770	120	53	random	random	ADJ
ajst-21770	120	54	rotation	rotation	NOUN
ajst-21770	120	55	(	(	PUNCT
ajst-21770	120	56	probability	probability	NOUN
ajst-21770	120	57	=	=	NOUN
ajst-21770	120	58	0.3	0.3	NUM
ajst-21770	120	59	)	)	PUNCT
ajst-21770	120	60	.	.	PUNCT
ajst-21770	121	1	in	in	ADP
ajst-21770	121	2	this	this	DET
ajst-21770	121	3	paper	paper	NOUN
ajst-21770	121	4	,	,	PUNCT
ajst-21770	121	5	we	we	PRON
ajst-21770	121	6	use	use	VERB
ajst-21770	121	7	albumentation	albumentation	NOUN
ajst-21770	121	8	[	[	X
ajst-21770	121	9	38	38	NUM
ajst-21770	121	10	]	]	PUNCT
ajst-21770	121	11	to	to	PART
ajst-21770	121	12	implement	implement	VERB
ajst-21770	121	13	all	all	DET
ajst-21770	121	14	data	datum	NOUN
ajst-21770	121	15	enhancement	enhancement	NOUN
ajst-21770	121	16	methods	method	NOUN
ajst-21770	121	17	with	with	ADP
ajst-21770	121	18	default	default	NOUN
ajst-21770	121	19	settings	setting	NOUN
ajst-21770	121	20	.	.	PUNCT
ajst-21770	122	1	in	in	ADP
ajst-21770	122	2	addition	addition	NOUN
ajst-21770	122	3	,	,	PUNCT
ajst-21770	122	4	as	as	SCONJ
ajst-21770	122	5	mentioned	mention	VERB
ajst-21770	122	6	in	in	ADP
ajst-21770	122	7	the	the	DET
ajst-21770	122	8	table	table	NOUN
ajst-21770	122	9	above	above	ADV
ajst-21770	122	10	,	,	PUNCT
ajst-21770	122	11	cutmix	cutmix	NOUN
ajst-21770	122	12	[	[	X
ajst-21770	122	13	39	39	NUM
ajst-21770	122	14	]	]	PUNCT
ajst-21770	122	15	improves	improve	VERB
ajst-21770	122	16	the	the	DET
ajst-21770	122	17	robustness	robustness	NOUN
ajst-21770	122	18	and	and	CCONJ
ajst-21770	122	19	generalization	generalization	NOUN
ajst-21770	122	20	ability	ability	NOUN
ajst-21770	122	21	of	of	ADP
ajst-21770	122	22	the	the	DET
ajst-21770	122	23	model	model	NOUN
ajst-21770	122	24	by	by	ADP
ajst-21770	122	25	fusing	fuse	VERB
ajst-21770	122	26	parts	part	NOUN
ajst-21770	122	27	of	of	ADP
ajst-21770	122	28	images	image	NOUN
ajst-21770	122	29	from	from	ADP
ajst-21770	122	30	different	different	ADJ
ajst-21770	122	31	categories	category	NOUN
ajst-21770	122	32	,	,	PUNCT
ajst-21770	122	33	enhances	enhance	VERB
ajst-21770	122	34	the	the	DET
ajst-21770	122	35	diversity	diversity	NOUN
ajst-21770	122	36	of	of	ADP
ajst-21770	122	37	training	training	NOUN
ajst-21770	122	38	data	datum	NOUN
ajst-21770	122	39	,	,	PUNCT
ajst-21770	122	40	and	and	CCONJ
ajst-21770	122	41	effectively	effectively	ADV
ajst-21770	122	42	alleviates	alleviate	VERB
ajst-21770	122	43	the	the	DET
ajst-21770	122	44	problem	problem	NOUN
ajst-21770	122	45	of	of	ADP
ajst-21770	122	46	overfitting	overfitte	VERB
ajst-21770	122	47	with	with	ADP
ajst-21770	122	48	a	a	DET
ajst-21770	122	49	small	small	ADJ
ajst-21770	122	50	sample	sample	NOUN
ajst-21770	122	51	size	size	NOUN
ajst-21770	122	52	.	.	PUNCT
ajst-21770	123	1	figure	figure	NOUN
ajst-21770	123	2	6	6	NUM
ajst-21770	123	3	.	.	PUNCT
ajst-21770	123	4	diagram	diagram	NOUN
ajst-21770	123	5	of	of	ADP
ajst-21770	123	6	cutmix	cutmix	NOUN
ajst-21770	123	7	(	(	PUNCT
ajst-21770	123	8	2	2	NUM
ajst-21770	123	9	)	)	PUNCT
ajst-21770	123	10	style	style	NOUN
ajst-21770	123	11	-	-	PUNCT
ajst-21770	123	12	transfer	transfer	NOUN
ajst-21770	123	13	:	:	PUNCT
ajst-21770	123	14	to	to	PART
ajst-21770	123	15	address	address	VERB
ajst-21770	123	16	the	the	DET
ajst-21770	123	17	issue	issue	NOUN
ajst-21770	123	18	of	of	ADP
ajst-21770	123	19	the	the	DET
ajst-21770	123	20	difference	difference	NOUN
ajst-21770	123	21	in	in	ADP
ajst-21770	123	22	dual	dual	ADJ
ajst-21770	123	23	-	-	PUNCT
ajst-21770	123	24	temporal	temporal	ADJ
ajst-21770	123	25	imaging	imaging	NOUN
ajst-21770	123	26	before	before	ADP
ajst-21770	123	27	and	and	CCONJ
ajst-21770	123	28	after	after	ADP
ajst-21770	123	29	a	a	DET
ajst-21770	123	30	disaster	disaster	NOUN
ajst-21770	123	31	,	,	PUNCT
ajst-21770	123	32	this	this	DET
ajst-21770	123	33	paper	paper	NOUN
ajst-21770	123	34	uses	use	VERB
ajst-21770	123	35	fast	fast	ADJ
ajst-21770	123	36	fourier	fourier	NOUN
ajst-21770	123	37	transform	transform	NOUN
ajst-21770	123	38	(	(	PUNCT
ajst-21770	123	39	fft	fft	PROPN
ajst-21770	123	40	)	)	PUNCT
ajst-21770	123	41	to	to	PART
ajst-21770	123	42	unify	unify	VERB
ajst-21770	123	43	the	the	DET
ajst-21770	123	44	styles	style	NOUN
ajst-21770	123	45	of	of	ADP
ajst-21770	123	46	dualtemporal	dualtemporal	ADJ
ajst-21770	123	47	images	image	NOUN
ajst-21770	123	48	(	(	PUNCT
ajst-21770	123	49	probability	probability	NOUN
ajst-21770	123	50	=	=	SYM
ajst-21770	123	51	0.5	0.5	NUM
ajst-21770	123	52	)	)	PUNCT
ajst-21770	123	53	.	.	PUNCT
ajst-21770	124	1	the	the	DET
ajst-21770	124	2	spatial	spatial	ADJ
ajst-21770	124	3	domain	domain	NOUN
ajst-21770	124	4	of	of	ADP
ajst-21770	124	5	an	an	DET
ajst-21770	124	6	image	image	NOUN
ajst-21770	124	7	is	be	AUX
ajst-21770	124	8	converted	convert	VERB
ajst-21770	124	9	into	into	ADP
ajst-21770	124	10	a	a	DET
ajst-21770	124	11	frequency	frequency	NOUN
ajst-21770	124	12	domain	domain	NOUN
ajst-21770	124	13	,	,	PUNCT
ajst-21770	124	14	where	where	SCONJ
ajst-21770	124	15	the	the	DET
ajst-21770	124	16	parts	part	NOUN
ajst-21770	124	17	with	with	ADP
ajst-21770	124	18	significant	significant	ADJ
ajst-21770	124	19	changes	change	NOUN
ajst-21770	124	20	in	in	ADP
ajst-21770	124	21	grayscale	grayscale	NOUN
ajst-21770	124	22	values	value	NOUN
ajst-21770	124	23	correspond	correspond	VERB
ajst-21770	124	24	to	to	ADP
ajst-21770	124	25	high	high	ADJ
ajst-21770	124	26	frequencies	frequency	NOUN
ajst-21770	124	27	,	,	PUNCT
ajst-21770	124	28	and	and	CCONJ
ajst-21770	124	29	the	the	DET
ajst-21770	124	30	rest	rest	NOUN
ajst-21770	124	31	correspond	correspond	NOUN
ajst-21770	124	32	to	to	ADP
ajst-21770	124	33	low	low	ADJ
ajst-21770	124	34	frequencies	frequency	NOUN
ajst-21770	124	35	.	.	PUNCT
ajst-21770	125	1	high	high	ADJ
ajst-21770	125	2	-	-	PUNCT
ajst-21770	125	3	frequency	frequency	NOUN
ajst-21770	125	4	components	component	NOUN
ajst-21770	125	5	mainly	mainly	ADV
ajst-21770	125	6	measure	measure	VERB
ajst-21770	125	7	the	the	DET
ajst-21770	125	8	edges	edge	NOUN
ajst-21770	125	9	and	and	CCONJ
ajst-21770	125	10	contours	contours	NOUN
ajst-21770	125	11	of	of	ADP
ajst-21770	125	12	an	an	DET
ajst-21770	125	13	image	image	NOUN
ajst-21770	125	14	,	,	PUNCT
ajst-21770	125	15	while	while	SCONJ
ajst-21770	125	16	low	low	ADJ
ajst-21770	125	17	-	-	PUNCT
ajst-21770	125	18	frequency	frequency	NOUN
ajst-21770	125	19	components	component	NOUN
ajst-21770	125	20	mainly	mainly	ADV
ajst-21770	125	21	measure	measure	VERB
ajst-21770	125	22	the	the	DET
ajst-21770	125	23	overall	overall	ADJ
ajst-21770	125	24	intensity	intensity	NOUN
ajst-21770	125	25	of	of	ADP
ajst-21770	125	26	the	the	DET
ajst-21770	125	27	entire	entire	ADJ
ajst-21770	125	28	image	image	NOUN
ajst-21770	125	29	.	.	PUNCT
ajst-21770	126	1	therefore	therefore	ADV
ajst-21770	126	2	,	,	PUNCT
ajst-21770	126	3	by	by	ADP
ajst-21770	126	4	replacing	replace	VERB
ajst-21770	126	5	the	the	DET
ajst-21770	126	6	low	low	ADJ
ajst-21770	126	7	-	-	PUNCT
ajst-21770	126	8	frequency	frequency	NOUN
ajst-21770	126	9	part	part	NOUN
ajst-21770	126	10	of	of	ADP
ajst-21770	126	11	the	the	DET
ajst-21770	126	12	frequency	frequency	NOUN
ajst-21770	126	13	domain	domain	NOUN
ajst-21770	126	14	of	of	ADP
ajst-21770	126	15	image	image	NOUN
ajst-21770	126	16	b	b	PROPN
ajst-21770	126	17	with	with	ADP
ajst-21770	126	18	the	the	DET
ajst-21770	126	19	low	low	ADJ
ajst-21770	126	20	-	-	PUNCT
ajst-21770	126	21	frequency	frequency	NOUN
ajst-21770	126	22	part	part	NOUN
ajst-21770	126	23	of	of	ADP
ajst-21770	126	24	the	the	DET
ajst-21770	126	25	frequency	frequency	NOUN
ajst-21770	126	26	domain	domain	NOUN
ajst-21770	126	27	of	of	ADP
ajst-21770	126	28	image	image	NOUN
ajst-21770	126	29	a	a	PRON
ajst-21770	126	30	,	,	PUNCT
ajst-21770	126	31	and	and	CCONJ
ajst-21770	126	32	then	then	ADV
ajst-21770	126	33	converting	convert	VERB
ajst-21770	126	34	it	it	PRON
ajst-21770	126	35	back	back	ADV
ajst-21770	126	36	to	to	ADP
ajst-21770	126	37	the	the	DET
ajst-21770	126	38	spatial	spatial	ADJ
ajst-21770	126	39	domain	domain	NOUN
ajst-21770	126	40	through	through	ADP
ajst-21770	126	41	inverse	inverse	NOUN
ajst-21770	126	42	fast	fast	ADJ
ajst-21770	126	43	fourier	fourier	NOUN
ajst-21770	126	44	transform	transform	NOUN
ajst-21770	126	45	(	(	PUNCT
ajst-21770	126	46	ifft	ifft	PROPN
ajst-21770	126	47	)	)	PUNCT
ajst-21770	126	48	,	,	PUNCT
ajst-21770	126	49	the	the	DET
ajst-21770	126	50	styles	style	NOUN
ajst-21770	126	51	of	of	ADP
ajst-21770	126	52	images	image	NOUN
ajst-21770	126	53	a	a	PRON
ajst-21770	126	54	and	and	CCONJ
ajst-21770	126	55	b	b	NOUN
ajst-21770	126	56	can	can	AUX
ajst-21770	126	57	be	be	AUX
ajst-21770	126	58	unified	unify	VERB
ajst-21770	126	59	.	.	PUNCT
ajst-21770	127	1	119	119	NUM
ajst-21770	127	2	figure	figure	NOUN
ajst-21770	127	3	7	7	NUM
ajst-21770	127	4	.	.	NOUN
ajst-21770	127	5	fast	fast	ADJ
ajst-21770	127	6	fourier	fourier	NOUN
ajst-21770	127	7	transform	transform	NOUN
ajst-21770	127	8	(	(	PUNCT
ajst-21770	127	9	fft	fft	PROPN
ajst-21770	127	10	)	)	PUNCT
ajst-21770	127	11	(	(	PUNCT
ajst-21770	127	12	3	3	X
ajst-21770	127	13	)	)	PUNCT
ajst-21770	127	14	training	training	NOUN
ajst-21770	127	15	and	and	CCONJ
ajst-21770	127	16	inference	inference	NOUN
ajst-21770	127	17	:	:	PUNCT
ajst-21770	127	18	this	this	DET
ajst-21770	127	19	paper	paper	NOUN
ajst-21770	127	20	uses	use	VERB
ajst-21770	127	21	pytorch	pytorch	NOUN
ajst-21770	127	22	[	[	X
ajst-21770	127	23	40	40	NUM
ajst-21770	127	24	]	]	PUNCT
ajst-21770	127	25	to	to	PART
ajst-21770	127	26	build	build	VERB
ajst-21770	127	27	deru	deru	PROPN
ajst-21770	127	28	-	-	PUNCT
ajst-21770	127	29	net	net	NOUN
ajst-21770	127	30	and	and	CCONJ
ajst-21770	127	31	conducts	conduct	VERB
ajst-21770	127	32	experiments	experiment	NOUN
ajst-21770	127	33	on	on	ADP
ajst-21770	127	34	a	a	DET
ajst-21770	127	35	lenovo	lenovo	PROPN
ajst-21770	127	36	p620	p620	PROPN
ajst-21770	127	37	workstation	workstation	NOUN
ajst-21770	127	38	equipped	equip	VERB
ajst-21770	127	39	with	with	ADP
ajst-21770	127	40	an	an	DET
ajst-21770	127	41	rtx	rtx	NOUN
ajst-21770	127	42	a5000	a5000	PROPN
ajst-21770	127	43	gpu	gpu	PROPN
ajst-21770	127	44	(	(	PUNCT
ajst-21770	127	45	24	24	NUM
ajst-21770	127	46	gb	gb	NOUN
ajst-21770	127	47	memory	memory	NOUN
ajst-21770	127	48	)	)	PUNCT
ajst-21770	127	49	.	.	PUNCT
ajst-21770	128	1	the	the	DET
ajst-21770	128	2	image	image	NOUN
ajst-21770	128	3	data	datum	NOUN
ajst-21770	128	4	is	be	AUX
ajst-21770	128	5	cropped	crop	VERB
ajst-21770	128	6	to	to	ADP
ajst-21770	128	7	a	a	DET
ajst-21770	128	8	size	size	NOUN
ajst-21770	128	9	of	of	ADP
ajst-21770	128	10	512	512	NUM
ajst-21770	128	11	×	×	NOUN
ajst-21770	128	12	512	512	NUM
ajst-21770	128	13	pixels	pixel	NOUN
ajst-21770	128	14	for	for	ADP
ajst-21770	128	15	training	training	NOUN
ajst-21770	128	16	,	,	PUNCT
ajst-21770	128	17	and	and	CCONJ
ajst-21770	128	18	the	the	DET
ajst-21770	128	19	batch	batch	NOUN
ajst-21770	128	20	size	size	NOUN
ajst-21770	128	21	of	of	ADP
ajst-21770	128	22	the	the	DET
ajst-21770	128	23	network	network	NOUN
ajst-21770	128	24	is	be	AUX
ajst-21770	128	25	set	set	VERB
ajst-21770	128	26	to	to	ADP
ajst-21770	128	27	8	8	NUM
ajst-21770	128	28	.	.	PUNCT
ajst-21770	129	1	adamw[41	adamw[41	PROPN
ajst-21770	129	2	]	]	PUNCT
ajst-21770	129	3	is	be	AUX
ajst-21770	129	4	used	use	VERB
ajst-21770	129	5	as	as	ADP
ajst-21770	129	6	the	the	DET
ajst-21770	129	7	optimizer	optimizer	NOUN
ajst-21770	129	8	,	,	PUNCT
ajst-21770	129	9	with	with	ADP
ajst-21770	129	10	an	an	DET
ajst-21770	129	11	initial	initial	ADJ
ajst-21770	129	12	learning	learning	NOUN
ajst-21770	129	13	rate	rate	NOUN
ajst-21770	129	14	of	of	ADP
ajst-21770	129	15	0.001	0.001	NUM
ajst-21770	129	16	and	and	CCONJ
ajst-21770	129	17	a	a	DET
ajst-21770	129	18	weight	weight	NOUN
ajst-21770	129	19	decay	decay	NOUN
ajst-21770	129	20	of	of	ADP
ajst-21770	129	21	0.001	0.001	NUM
ajst-21770	129	22	.	.	PUNCT
ajst-21770	130	1	the	the	DET
ajst-21770	130	2	learning	learning	NOUN
ajst-21770	130	3	rate	rate	NOUN
ajst-21770	130	4	is	be	AUX
ajst-21770	130	5	adjusted	adjust	VERB
ajst-21770	130	6	using	use	VERB
ajst-21770	130	7	a	a	DET
ajst-21770	130	8	cosine	cosine	NOUN
ajst-21770	130	9	annealing	annealing	NOUN
ajst-21770	130	10	strategy	strategy	NOUN
ajst-21770	130	11	.	.	PUNCT
ajst-21770	131	1	4.3	4.3	NUM
ajst-21770	131	2	.	.	PUNCT
ajst-21770	131	3	experimental	experimental	ADJ
ajst-21770	131	4	results	result	NOUN
ajst-21770	131	5	as	as	SCONJ
ajst-21770	131	6	shown	show	VERB
ajst-21770	131	7	below	below	ADP
ajst-21770	131	8	,	,	PUNCT
ajst-21770	131	9	the	the	DET
ajst-21770	131	10	comprehensive	comprehensive	ADJ
ajst-21770	131	11	scores	score	NOUN
ajst-21770	131	12	achieved	achieve	VERB
ajst-21770	131	13	by	by	ADP
ajst-21770	131	14	the	the	DET
ajst-21770	131	15	proposed	propose	VERB
ajst-21770	131	16	deau	deau	PROPN
ajst-21770	131	17	-	-	PUNCT
ajst-21770	131	18	net	net	NOUN
ajst-21770	131	19	instantiation	instantiation	NOUN
ajst-21770	131	20	model	model	NOUN
ajst-21770	131	21	in	in	ADP
ajst-21770	131	22	the	the	DET
ajst-21770	131	23	building	building	NOUN
ajst-21770	131	24	damage	damage	NOUN
ajst-21770	131	25	assessment	assessment	NOUN
ajst-21770	131	26	experiment	experiment	NOUN
ajst-21770	131	27	are	be	AUX
ajst-21770	131	28	as	as	SCONJ
ajst-21770	131	29	follows	follow	VERB
ajst-21770	131	30	:	:	PUNCT
ajst-21770	131	31	the	the	DET
ajst-21770	131	32	𝐹	𝐹	PROPN
ajst-21770	131	33	is	be	AUX
ajst-21770	131	34	70.6	70.6	NUM
ajst-21770	131	35	%	%	NOUN
ajst-21770	131	36	,	,	PUNCT
ajst-21770	131	37	with	with	ADP
ajst-21770	131	38	𝐹	𝐹	PROPN
ajst-21770	131	39	and	and	CCONJ
ajst-21770	131	40	𝐹	𝐹	PROPN
ajst-21770	131	41	scores	score	NOUN
ajst-21770	131	42	of	of	ADP
ajst-21770	131	43	84.6	84.6	NUM
ajst-21770	131	44	%	%	NOUN
ajst-21770	131	45	and	and	CCONJ
ajst-21770	131	46	64.5	64.5	NUM
ajst-21770	131	47	%	%	NOUN
ajst-21770	131	48	respectively	respectively	ADV
ajst-21770	131	49	.	.	PUNCT
ajst-21770	132	1	the	the	DET
ajst-21770	132	2	f_1	f_1	PROPN
ajst-21770	132	3	scores	score	NOUN
ajst-21770	132	4	for	for	ADP
ajst-21770	132	5	no	no	DET
ajst-21770	132	6	damage	damage	NOUN
ajst-21770	132	7	(	(	PUNCT
ajst-21770	132	8	𝐹	𝐹	PROPN
ajst-21770	132	9	)	)	PUNCT
ajst-21770	132	10	,	,	PUNCT
ajst-21770	132	11	minor	minor	ADJ
ajst-21770	132	12	damage	damage	NOUN
ajst-21770	132	13	(	(	PUNCT
ajst-21770	132	14	𝐹	𝐹	PROPN
ajst-21770	132	15	)	)	PUNCT
ajst-21770	132	16	,	,	PUNCT
ajst-21770	132	17	major	major	ADJ
ajst-21770	132	18	damage	damage	NOUN
ajst-21770	132	19	(	(	PUNCT
ajst-21770	132	20	𝐹	𝐹	PROPN
ajst-21770	132	21	)	)	PUNCT
ajst-21770	132	22	,	,	PUNCT
ajst-21770	132	23	and	and	CCONJ
ajst-21770	132	24	complete	complete	ADJ
ajst-21770	132	25	destruction	destruction	NOUN
ajst-21770	132	26	𝐹	𝐹	PROPN
ajst-21770	132	27	)	)	PUNCT
ajst-21770	132	28	are	be	AUX
ajst-21770	132	29	82.5	82.5	NUM
ajst-21770	132	30	%	%	NOUN
ajst-21770	132	31	,	,	PUNCT
ajst-21770	132	32	46.6	46.6	NUM
ajst-21770	132	33	%	%	NOUN
ajst-21770	132	34	,	,	PUNCT
ajst-21770	132	35	67.6	67.6	NUM
ajst-21770	132	36	%	%	NOUN
ajst-21770	132	37	,	,	PUNCT
ajst-21770	132	38	and	and	CCONJ
ajst-21770	132	39	73.4	73.4	NUM
ajst-21770	132	40	%	%	NOUN
ajst-21770	132	41	respectively	respectively	ADV
ajst-21770	132	42	.	.	PUNCT
ajst-21770	133	1	compared	compare	VERB
ajst-21770	133	2	to	to	ADP
ajst-21770	133	3	the	the	DET
ajst-21770	133	4	medu	medu	NOUN
ajst-21770	133	5	-	-	PUNCT
ajst-21770	133	6	net	net	NOUN
ajst-21770	133	7	,	,	PUNCT
ajst-21770	133	8	which	which	PRON
ajst-21770	133	9	uses	use	VERB
ajst-21770	133	10	unet	unet	NOUN
ajst-21770	133	11	as	as	ADP
ajst-21770	133	12	the	the	DET
ajst-21770	133	13	feature	feature	NOUN
ajst-21770	133	14	extractor	extractor	NOUN
ajst-21770	133	15	,	,	PUNCT
ajst-21770	133	16	the	the	DET
ajst-21770	133	17	proposed	propose	VERB
ajst-21770	133	18	deau	deau	PROPN
ajst-21770	133	19	-	-	PUNCT
ajst-21770	133	20	net	net	NOUN
ajst-21770	133	21	shows	show	VERB
ajst-21770	133	22	significant	significant	ADJ
ajst-21770	133	23	improvement	improvement	NOUN
ajst-21770	133	24	in	in	ADP
ajst-21770	133	25	accuracy	accuracy	NOUN
ajst-21770	133	26	,	,	PUNCT
ajst-21770	133	27	with	with	ADP
ajst-21770	133	28	an	an	DET
ajst-21770	133	29	overall	overall	ADJ
ajst-21770	133	30	𝐹	𝐹	PROPN
ajst-21770	133	31	lincrease	lincrease	NOUN
ajst-21770	133	32	of	of	ADP
ajst-21770	133	33	7.2	7.2	NUM
ajst-21770	133	34	%	%	NOUN
ajst-21770	133	35	.	.	PUNCT
ajst-21770	134	1	notably	notably	ADV
ajst-21770	134	2	,	,	PUNCT
ajst-21770	134	3	there	there	PRON
ajst-21770	134	4	are	be	VERB
ajst-21770	134	5	significant	significant	ADJ
ajst-21770	134	6	improvements	improvement	NOUN
ajst-21770	134	7	in	in	ADP
ajst-21770	134	8	the	the	DET
ajst-21770	134	9	accuracy	accuracy	NOUN
ajst-21770	134	10	of	of	ADP
ajst-21770	134	11	minor	minor	ADJ
ajst-21770	134	12	damage	damage	NOUN
ajst-21770	134	13	(	(	PUNCT
ajst-21770	134	14	f_1^minor	f_1^minor	NOUN
ajst-21770	134	15	)	)	PUNCT
ajst-21770	134	16	,	,	PUNCT
ajst-21770	134	17	major	major	ADJ
ajst-21770	134	18	damage	damage	NOUN
ajst-21770	134	19	(	(	PUNCT
ajst-21770	134	20	f_1^major	f_1^major	NOUN
ajst-21770	134	21	)	)	PUNCT
ajst-21770	134	22	,	,	PUNCT
ajst-21770	134	23	and	and	CCONJ
ajst-21770	134	24	complete	complete	ADJ
ajst-21770	134	25	destruction	destruction	NOUN
ajst-21770	134	26	(	(	PUNCT
ajst-21770	134	27	f_1^destroyed	f_1^destroyed	NUM
ajst-21770	134	28	)	)	PUNCT
ajst-21770	134	29	.	.	PUNCT
ajst-21770	135	1	this	this	DET
ajst-21770	135	2	result	result	NOUN
ajst-21770	135	3	fully	fully	ADV
ajst-21770	135	4	demonstrates	demonstrate	VERB
ajst-21770	135	5	that	that	SCONJ
ajst-21770	135	6	the	the	DET
ajst-21770	135	7	proposed	propose	VERB
ajst-21770	135	8	network	network	NOUN
ajst-21770	135	9	model	model	NOUN
ajst-21770	135	10	in	in	ADP
ajst-21770	135	11	this	this	DET
ajst-21770	135	12	paper	paper	NOUN
ajst-21770	135	13	has	have	VERB
ajst-21770	135	14	high	high	ADJ
ajst-21770	135	15	accuracy	accuracy	NOUN
ajst-21770	135	16	in	in	ADP
ajst-21770	135	17	determining	determine	VERB
ajst-21770	135	18	the	the	DET
ajst-21770	135	19	damage	damage	NOUN
ajst-21770	135	20	level	level	NOUN
ajst-21770	135	21	of	of	ADP
ajst-21770	135	22	buildings	building	NOUN
ajst-21770	135	23	with	with	ADP
ajst-21770	135	24	different	different	ADJ
ajst-21770	135	25	degrees	degree	NOUN
ajst-21770	135	26	of	of	ADP
ajst-21770	135	27	damage	damage	NOUN
ajst-21770	135	28	.	.	PUNCT
ajst-21770	136	1	table	table	NOUN
ajst-21770	136	2	1	1	NUM
ajst-21770	136	3	.	.	PUNCT
ajst-21770	136	4	model	model	PROPN
ajst-21770	136	5	accuracy	accuracy	PROPN
ajst-21770	136	6	comparison	comparison	NOUN
ajst-21770	136	7	table	table	NOUN
ajst-21770	136	8	model	model	NOUN
ajst-21770	136	9	𝑭𝟏	𝑭𝟏	PROPN
ajst-21770	136	10	𝐨𝐯𝐞𝐫𝐚𝐥𝐥	𝐨𝐯𝐞𝐫𝐚𝐥𝐥	PROPN
ajst-21770	136	11	%	%	PROPN
ajst-21770	136	12	𝑭𝟏	𝑭𝟏	NOUN
ajst-21770	136	13	𝐥𝐨𝐜	𝐥𝐨𝐜	NOUN
ajst-21770	136	14	%	%	NOUN
ajst-21770	136	15	𝑭𝟏	𝑭𝟏	PROPN
ajst-21770	136	16	𝐝𝐚𝐦	𝐝𝐚𝐦	PROPN
ajst-21770	136	17	%	%	PROPN
ajst-21770	136	18	desdu	desdu	NOUN
ajst-21770	136	19	-	-	PUNCT
ajst-21770	136	20	net	net	NOUN
ajst-21770	136	21	50.4	50.4	NUM
ajst-21770	136	22	69.6	69.6	NUM
ajst-21770	136	23	42.1	42.1	NUM
ajst-21770	136	24	mesdu	mesdu	NOUN
ajst-21770	136	25	-	-	PUNCT
ajst-21770	136	26	net	net	NOUN
ajst-21770	136	27	63.6	63.6	NUM
ajst-21770	136	28	82.4	82.4	NUM
ajst-21770	136	29	56.9	56.9	NUM
ajst-21770	136	30	medu	medu	NOUN
ajst-21770	136	31	-	-	PUNCT
ajst-21770	136	32	net	net	NOUN
ajst-21770	136	33	67.5	67.5	NUM
ajst-21770	136	34	83.8	83.8	NUM
ajst-21770	136	35	60.5	60.5	NUM
ajst-21770	136	36	deau	deau	ADJ
ajst-21770	136	37	-	-	PUNCT
ajst-21770	136	38	net	net	NOUN
ajst-21770	136	39	70.6	70.6	NUM
ajst-21770	136	40	84.6	84.6	NUM
ajst-21770	136	41	64.5	64.5	NUM
ajst-21770	136	42	as	as	SCONJ
ajst-21770	136	43	stated	state	VERB
ajst-21770	136	44	in	in	ADP
ajst-21770	136	45	the	the	DET
ajst-21770	136	46	table	table	NOUN
ajst-21770	136	47	above	above	ADV
ajst-21770	136	48	,	,	PUNCT
ajst-21770	136	49	this	this	DET
ajst-21770	136	50	paper	paper	NOUN
ajst-21770	136	51	verifies	verify	VERB
ajst-21770	136	52	the	the	DET
ajst-21770	136	53	building	building	NOUN
ajst-21770	136	54	damage	damage	NOUN
ajst-21770	136	55	networks	network	NOUN
ajst-21770	136	56	of	of	ADP
ajst-21770	136	57	different	different	ADJ
ajst-21770	136	58	frameworks	framework	NOUN
ajst-21770	136	59	under	under	ADP
ajst-21770	136	60	the	the	DET
ajst-21770	136	61	same	same	ADJ
ajst-21770	136	62	conditions	condition	NOUN
ajst-21770	136	63	.	.	PUNCT
ajst-21770	137	1	based	base	VERB
ajst-21770	137	2	on	on	ADP
ajst-21770	137	3	the	the	DET
ajst-21770	137	4	experimental	experimental	ADJ
ajst-21770	137	5	results	result	NOUN
ajst-21770	137	6	,	,	PUNCT
ajst-21770	137	7	the	the	DET
ajst-21770	137	8	following	follow	VERB
ajst-21770	137	9	analysis	analysis	NOUN
ajst-21770	137	10	can	can	AUX
ajst-21770	137	11	be	be	AUX
ajst-21770	137	12	drawn	draw	VERB
ajst-21770	137	13	:	:	PUNCT
ajst-21770	137	14	(	(	PUNCT
ajst-21770	137	15	1	1	X
ajst-21770	137	16	)	)	PUNCT
ajst-21770	137	17	comparing	compare	VERB
ajst-21770	137	18	the	the	DET
ajst-21770	137	19	accuracy	accuracy	NOUN
ajst-21770	137	20	of	of	ADP
ajst-21770	137	21	desdu	desdu	NOUN
ajst-21770	137	22	-	-	PUNCT
ajst-21770	137	23	net	net	NOUN
ajst-21770	137	24	and	and	CCONJ
ajst-21770	137	25	mesdunet	mesdunet	NOUN
ajst-21770	137	26	,	,	PUNCT
ajst-21770	137	27	it	it	PRON
ajst-21770	137	28	can	can	AUX
ajst-21770	137	29	be	be	AUX
ajst-21770	137	30	seen	see	VERB
ajst-21770	137	31	that	that	SCONJ
ajst-21770	137	32	the	the	DET
ajst-21770	137	33	adoption	adoption	NOUN
ajst-21770	137	34	of	of	ADP
ajst-21770	137	35	the	the	DET
ajst-21770	137	36	siamese	siamese	ADJ
ajst-21770	137	37	network	network	NOUN
ajst-21770	137	38	structure	structure	NOUN
ajst-21770	137	39	in	in	ADP
ajst-21770	137	40	the	the	DET
ajst-21770	137	41	encoder	encoder	NOUN
ajst-21770	137	42	part	part	NOUN
ajst-21770	137	43	of	of	ADP
ajst-21770	137	44	mesdu	mesdu	NOUN
ajst-21770	137	45	-	-	PUNCT
ajst-21770	137	46	net	net	NOUN
ajst-21770	137	47	allows	allow	VERB
ajst-21770	137	48	the	the	DET
ajst-21770	137	49	sharing	sharing	NOUN
ajst-21770	137	50	of	of	ADP
ajst-21770	137	51	weight	weight	NOUN
ajst-21770	137	52	parameters	parameter	NOUN
ajst-21770	137	53	in	in	ADP
ajst-21770	137	54	the	the	DET
ajst-21770	137	55	feature	feature	NOUN
ajst-21770	137	56	extraction	extraction	NOUN
ajst-21770	137	57	branches	branch	NOUN
ajst-21770	137	58	of	of	ADP
ajst-21770	137	59	pre	pre	NOUN
ajst-21770	137	60	-	-	NOUN
ajst-21770	137	61	disaster	disaster	ADJ
ajst-21770	137	62	and	and	CCONJ
ajst-21770	137	63	post	post	ADJ
ajst-21770	137	64	-	-	ADJ
ajst-21770	137	65	disaster	disaster	ADJ
ajst-21770	137	66	images	image	NOUN
ajst-21770	137	67	.	.	PUNCT
ajst-21770	138	1	with	with	ADP
ajst-21770	138	2	the	the	DET
ajst-21770	138	3	help	help	NOUN
ajst-21770	138	4	of	of	ADP
ajst-21770	138	5	the	the	DET
ajst-21770	138	6	intact	intact	ADJ
ajst-21770	138	7	boundaries	boundary	NOUN
ajst-21770	138	8	of	of	ADP
ajst-21770	138	9	pre	pre	ADJ
ajst-21770	138	10	-	-	ADJ
ajst-21770	138	11	disaster	disaster	ADJ
ajst-21770	138	12	images	image	NOUN
ajst-21770	138	13	and	and	CCONJ
ajst-21770	138	14	the	the	DET
ajst-21770	138	15	features	feature	NOUN
ajst-21770	138	16	of	of	ADP
ajst-21770	138	17	undamaged	undamaged	ADJ
ajst-21770	138	18	buildings	building	NOUN
ajst-21770	138	19	as	as	ADP
ajst-21770	138	20	prior	prior	ADJ
ajst-21770	138	21	information	information	NOUN
ajst-21770	138	22	,	,	PUNCT
ajst-21770	138	23	a	a	DET
ajst-21770	138	24	significant	significant	ADJ
ajst-21770	138	25	improvement	improvement	NOUN
ajst-21770	138	26	in	in	ADP
ajst-21770	138	27	the	the	DET
ajst-21770	138	28	𝐹	𝐹	PROPN
ajst-21770	138	29	score	score	NOUN
ajst-21770	138	30	can	can	AUX
ajst-21770	138	31	be	be	AUX
ajst-21770	138	32	observed	observe	VERB
ajst-21770	138	33	when	when	SCONJ
ajst-21770	138	34	comparing	compare	VERB
ajst-21770	138	35	the	the	DET
ajst-21770	138	36	experimental	experimental	ADJ
ajst-21770	138	37	results	result	NOUN
ajst-21770	138	38	of	of	ADP
ajst-21770	138	39	the	the	DET
ajst-21770	138	40	two	two	NUM
ajst-21770	138	41	networks	network	NOUN
ajst-21770	138	42	.	.	PUNCT
ajst-21770	139	1	the	the	DET
ajst-21770	139	2	experiment	experiment	NOUN
ajst-21770	139	3	proves	prove	VERB
ajst-21770	139	4	that	that	SCONJ
ajst-21770	139	5	introducing	introduce	VERB
ajst-21770	139	6	the	the	DET
ajst-21770	139	7	feature	feature	NOUN
ajst-21770	139	8	information	information	NOUN
ajst-21770	139	9	of	of	ADP
ajst-21770	139	10	intact	intact	ADJ
ajst-21770	139	11	pre	pre	ADJ
ajst-21770	139	12	-	-	ADJ
ajst-21770	139	13	disaster	disaster	ADJ
ajst-21770	139	14	buildings	building	NOUN
ajst-21770	139	15	can	can	AUX
ajst-21770	139	16	effectively	effectively	ADV
ajst-21770	139	17	improve	improve	VERB
ajst-21770	139	18	the	the	DET
ajst-21770	139	19	positioning	positioning	NOUN
ajst-21770	139	20	information	information	NOUN
ajst-21770	139	21	of	of	ADP
ajst-21770	139	22	buildings	building	NOUN
ajst-21770	139	23	.	.	PUNCT
ajst-21770	140	1	(	(	PUNCT
ajst-21770	140	2	2	2	X
ajst-21770	140	3	)	)	PUNCT
ajst-21770	140	4	comparing	compare	VERB
ajst-21770	140	5	the	the	DET
ajst-21770	140	6	accuracy	accuracy	NOUN
ajst-21770	140	7	of	of	ADP
ajst-21770	140	8	mesdu	mesdu	NOUN
ajst-21770	140	9	-	-	PUNCT
ajst-21770	140	10	net	net	NOUN
ajst-21770	140	11	and	and	CCONJ
ajst-21770	140	12	medunet	medunet	NOUN
ajst-21770	140	13	,	,	PUNCT
ajst-21770	140	14	it	it	PRON
ajst-21770	140	15	is	be	AUX
ajst-21770	140	16	evident	evident	ADJ
ajst-21770	140	17	that	that	SCONJ
ajst-21770	140	18	using	use	VERB
ajst-21770	140	19	attention	attention	NOUN
ajst-21770	140	20	mechanisms	mechanism	NOUN
ajst-21770	140	21	to	to	PART
ajst-21770	140	22	enhance	enhance	VERB
ajst-21770	140	23	the	the	DET
ajst-21770	140	24	fusion	fusion	NOUN
ajst-21770	140	25	of	of	ADP
ajst-21770	140	26	dual	dual	ADJ
ajst-21770	140	27	-	-	PUNCT
ajst-21770	140	28	temporal	temporal	ADJ
ajst-21770	140	29	feature	feature	NOUN
ajst-21770	140	30	data	datum	NOUN
ajst-21770	140	31	results	result	NOUN
ajst-21770	140	32	in	in	ADP
ajst-21770	140	33	higher	high	ADJ
ajst-21770	140	34	extraction	extraction	NOUN
ajst-21770	140	35	accuracy	accuracy	NOUN
ajst-21770	140	36	than	than	ADP
ajst-21770	140	37	feature	feature	NOUN
ajst-21770	140	38	map	map	NOUN
ajst-21770	140	39	concatenation	concatenation	NOUN
ajst-21770	140	40	or	or	CCONJ
ajst-21770	140	41	feature	feature	VERB
ajst-21770	140	42	algebraic	algebraic	ADJ
ajst-21770	140	43	operations	operation	NOUN
ajst-21770	140	44	.	.	PUNCT
ajst-21770	141	1	especially	especially	ADV
ajst-21770	141	2	in	in	ADP
ajst-21770	141	3	the	the	DET
ajst-21770	141	4	improvement	improvement	NOUN
ajst-21770	141	5	of	of	ADP
ajst-21770	141	6	𝐹	𝐹	PROPN
ajst-21770	141	7	and	and	CCONJ
ajst-21770	141	8	𝐹	𝐹	PROPN
ajst-21770	141	9	.	.	PUNCT
ajst-21770	142	1	compared	compare	VERB
ajst-21770	142	2	to	to	ADP
ajst-21770	142	3	simple	simple	ADJ
ajst-21770	142	4	subtraction	subtraction	NOUN
ajst-21770	142	5	operations	operation	NOUN
ajst-21770	142	6	,	,	PUNCT
ajst-21770	142	7	using	use	VERB
ajst-21770	142	8	attention	attention	NOUN
ajst-21770	142	9	mechanisms	mechanism	NOUN
ajst-21770	142	10	for	for	ADP
ajst-21770	142	11	different	different	ADJ
ajst-21770	142	12	temporal	temporal	ADJ
ajst-21770	142	13	feature	feature	NOUN
ajst-21770	142	14	map	map	NOUN
ajst-21770	142	15	fusion	fusion	NOUN
ajst-21770	142	16	can	can	AUX
ajst-21770	142	17	more	more	ADV
ajst-21770	142	18	effectively	effectively	ADV
ajst-21770	142	19	capture	capture	VERB
ajst-21770	142	20	temporal	temporal	ADJ
ajst-21770	142	21	change	change	NOUN
ajst-21770	142	22	information	information	NOUN
ajst-21770	142	23	,	,	PUNCT
ajst-21770	142	24	suppress	suppress	VERB
ajst-21770	142	25	the	the	DET
ajst-21770	142	26	interference	interference	NOUN
ajst-21770	142	27	of	of	ADP
ajst-21770	142	28	irrelevant	irrelevant	ADJ
ajst-21770	142	29	features	feature	NOUN
ajst-21770	142	30	,	,	PUNCT
ajst-21770	142	31	and	and	CCONJ
ajst-21770	142	32	obtain	obtain	VERB
ajst-21770	142	33	more	more	ADV
ajst-21770	142	34	accurate	accurate	ADJ
ajst-21770	142	35	and	and	CCONJ
ajst-21770	142	36	robust	robust	ADJ
ajst-21770	142	37	change	change	NOUN
ajst-21770	142	38	detection	detection	NOUN
ajst-21770	142	39	results	result	VERB
ajst-21770	142	40	through	through	ADP
ajst-21770	142	41	the	the	DET
ajst-21770	142	42	advantages	advantage	NOUN
ajst-21770	142	43	of	of	ADP
ajst-21770	142	44	adaptive	adaptive	ADJ
ajst-21770	142	45	weight	weight	NOUN
ajst-21770	142	46	allocation	allocation	NOUN
ajst-21770	142	47	,	,	PUNCT
ajst-21770	142	48	long	long	ADJ
ajst-21770	142	49	-	-	PUNCT
ajst-21770	142	50	range	range	NOUN
ajst-21770	142	51	dependency	dependency	NOUN
ajst-21770	142	52	modeling	modeling	NOUN
ajst-21770	142	53	,	,	PUNCT
ajst-21770	142	54	feature	feature	NOUN
ajst-21770	142	55	selectivity	selectivity	NOUN
ajst-21770	142	56	,	,	PUNCT
ajst-21770	142	57	and	and	CCONJ
ajst-21770	142	58	end	end	NOUN
ajst-21770	142	59	-	-	PUNCT
ajst-21770	142	60	to	to	ADP
ajst-21770	142	61	-	-	PUNCT
ajst-21770	142	62	end	end	NOUN
ajst-21770	142	63	trainability	trainability	NOUN
ajst-21770	142	64	.	.	PUNCT
ajst-21770	143	1	(	(	PUNCT
ajst-21770	143	2	3	3	X
ajst-21770	143	3	)	)	PUNCT
ajst-21770	143	4	comparing	compare	VERB
ajst-21770	143	5	the	the	DET
ajst-21770	143	6	accuracy	accuracy	NOUN
ajst-21770	143	7	of	of	ADP
ajst-21770	143	8	medu	medu	NOUN
ajst-21770	143	9	-	-	PUNCT
ajst-21770	143	10	net	net	ADJ
ajst-21770	143	11	and	and	CCONJ
ajst-21770	143	12	deau	deau	NOUN
ajst-21770	143	13	-	-	PUNCT
ajst-21770	143	14	net	net	NOUN
ajst-21770	143	15	,	,	PUNCT
ajst-21770	143	16	it	it	PRON
ajst-21770	143	17	can	can	AUX
ajst-21770	143	18	be	be	AUX
ajst-21770	143	19	seen	see	VERB
ajst-21770	143	20	that	that	SCONJ
ajst-21770	143	21	by	by	ADP
ajst-21770	143	22	using	use	VERB
ajst-21770	143	23	the	the	DET
ajst-21770	143	24	channel	channel	NOUN
ajst-21770	143	25	shuffle	shuffle	NOUN
ajst-21770	143	26	module	module	NOUN
ajst-21770	143	27	in	in	ADP
ajst-21770	143	28	the	the	DET
ajst-21770	143	29	encoder	encoder	NOUN
ajst-21770	143	30	part	part	NOUN
ajst-21770	143	31	,	,	PUNCT
ajst-21770	143	32	each	each	DET
ajst-21770	143	33	branch	branch	NOUN
ajst-21770	143	34	contains	contain	VERB
ajst-21770	143	35	dual	dual	ADJ
ajst-21770	143	36	-	-	PUNCT
ajst-21770	143	37	temporal	temporal	ADJ
ajst-21770	143	38	information	information	NOUN
ajst-21770	143	39	after	after	ADP
ajst-21770	143	40	channel	channel	NOUN
ajst-21770	143	41	shuffle	shuffle	VERB
ajst-21770	143	42	.	.	PUNCT
ajst-21770	144	1	this	this	PRON
ajst-21770	144	2	means	mean	VERB
ajst-21770	144	3	that	that	SCONJ
ajst-21770	144	4	the	the	DET
ajst-21770	144	5	dual	dual	ADJ
ajst-21770	144	6	-	-	PUNCT
ajst-21770	144	7	temporal	temporal	ADJ
ajst-21770	144	8	features	feature	NOUN
ajst-21770	144	9	are	be	AUX
ajst-21770	144	10	interconnected	interconnect	VERB
ajst-21770	144	11	,	,	PUNCT
ajst-21770	144	12	and	and	CCONJ
ajst-21770	144	13	each	each	DET
ajst-21770	144	14	branch	branch	NOUN
ajst-21770	144	15	can	can	AUX
ajst-21770	144	16	determine	determine	VERB
ajst-21770	144	17	the	the	DET
ajst-21770	144	18	change	change	NOUN
ajst-21770	144	19	area	area	NOUN
ajst-21770	144	20	independently	independently	ADV
ajst-21770	144	21	.	.	PUNCT
ajst-21770	145	1	based	base	VERB
ajst-21770	145	2	on	on	ADP
ajst-21770	145	3	the	the	DET
ajst-21770	145	4	change	change	NOUN
ajst-21770	145	5	area	area	NOUN
ajst-21770	145	6	,	,	PUNCT
ajst-21770	145	7	features	feature	VERB
ajst-21770	145	8	that	that	SCONJ
ajst-21770	145	9	only	only	ADV
ajst-21770	145	10	contain	contain	VERB
ajst-21770	145	11	single	single	ADJ
ajst-21770	145	12	-	-	PUNCT
ajst-21770	145	13	temporal	temporal	ADJ
ajst-21770	145	14	information	information	NOUN
ajst-21770	145	15	before	before	SCONJ
ajst-21770	145	16	channel	channel	NOUN
ajst-21770	145	17	shuffle	shuffle	NOUN
ajst-21770	145	18	contain	contain	VERB
ajst-21770	145	19	rich	rich	ADJ
ajst-21770	145	20	spatial	spatial	ADJ
ajst-21770	145	21	features	feature	NOUN
ajst-21770	145	22	,	,	PUNCT
ajst-21770	145	23	which	which	PRON
ajst-21770	145	24	can	can	AUX
ajst-21770	145	25	be	be	AUX
ajst-21770	145	26	used	use	VERB
ajst-21770	145	27	to	to	PART
ajst-21770	145	28	refine	refine	VERB
ajst-21770	145	29	the	the	DET
ajst-21770	145	30	change	change	NOUN
ajst-21770	145	31	area	area	NOUN
ajst-21770	145	32	and	and	CCONJ
ajst-21770	145	33	accurately	accurately	ADV
ajst-21770	145	34	locate	locate	VERB
ajst-21770	145	35	the	the	DET
ajst-21770	145	36	changed	change	VERB
ajst-21770	145	37	objects	object	NOUN
ajst-21770	145	38	in	in	ADP
ajst-21770	145	39	the	the	DET
ajst-21770	145	40	same	same	ADJ
ajst-21770	145	41	temporal	temporal	ADJ
ajst-21770	145	42	phase	phase	NOUN
ajst-21770	145	43	.	.	PUNCT
ajst-21770	146	1	finally	finally	ADV
ajst-21770	146	2	,	,	PUNCT
ajst-21770	146	3	by	by	ADP
ajst-21770	146	4	fusing	fuse	VERB
ajst-21770	146	5	the	the	DET
ajst-21770	146	6	dual	dual	ADJ
ajst-21770	146	7	-	-	PUNCT
ajst-21770	146	8	temporal	temporal	ADJ
ajst-21770	146	9	features	feature	NOUN
ajst-21770	146	10	,	,	PUNCT
ajst-21770	146	11	all	all	PRON
ajst-21770	146	12	changed	change	VERB
ajst-21770	146	13	objects	object	NOUN
ajst-21770	146	14	can	can	AUX
ajst-21770	146	15	be	be	AUX
ajst-21770	146	16	precisely	precisely	ADV
ajst-21770	146	17	located	locate	VERB
ajst-21770	146	18	.	.	PUNCT
ajst-21770	147	1	a	a	DET
ajst-21770	147	2	comprehensive	comprehensive	ADJ
ajst-21770	147	3	analysis	analysis	NOUN
ajst-21770	147	4	of	of	ADP
ajst-21770	147	5	all	all	DET
ajst-21770	147	6	models	model	NOUN
ajst-21770	147	7	shows	show	VERB
ajst-21770	147	8	that	that	SCONJ
ajst-21770	147	9	although	although	SCONJ
ajst-21770	147	10	improving	improve	VERB
ajst-21770	147	11	the	the	DET
ajst-21770	147	12	network	network	NOUN
ajst-21770	147	13	structure	structure	NOUN
ajst-21770	147	14	and	and	CCONJ
ajst-21770	147	15	adding	add	VERB
ajst-21770	147	16	different	different	ADJ
ajst-21770	147	17	modules	module	NOUN
ajst-21770	147	18	do	do	AUX
ajst-21770	147	19	enhance	enhance	VERB
ajst-21770	147	20	the	the	DET
ajst-21770	147	21	detection	detection	NOUN
ajst-21770	147	22	results	result	NOUN
ajst-21770	147	23	,	,	PUNCT
ajst-21770	147	24	compared	compare	VERB
ajst-21770	147	25	to	to	ADP
ajst-21770	147	26	comparing	compare	VERB
ajst-21770	147	27	with	with	ADP
ajst-21770	147	28	the	the	DET
ajst-21770	147	29	actual	actual	ADJ
ajst-21770	147	30	ground	ground	NOUN
ajst-21770	147	31	distribution	distribution	NOUN
ajst-21770	147	32	label	label	NOUN
ajst-21770	147	33	files	file	NOUN
ajst-21770	147	34	obtained	obtain	VERB
ajst-21770	147	35	through	through	ADP
ajst-21770	147	36	field	field	NOUN
ajst-21770	147	37	investigations	investigation	NOUN
ajst-21770	147	38	,	,	PUNCT
ajst-21770	147	39	in	in	ADP
ajst-21770	147	40	cases	case	NOUN
ajst-21770	147	41	of	of	ADP
ajst-21770	147	42	large	large	ADJ
ajst-21770	147	43	-	-	PUNCT
ajst-21770	147	44	area	area	NOUN
ajst-21770	147	45	damage	damage	NOUN
ajst-21770	147	46	,	,	PUNCT
ajst-21770	147	47	the	the	DET
ajst-21770	147	48	existing	exist	VERB
ajst-21770	147	49	models	model	NOUN
ajst-21770	147	50	tend	tend	VERB
ajst-21770	147	51	to	to	PART
ajst-21770	147	52	have	have	VERB
ajst-21770	147	53	problems	problem	NOUN
ajst-21770	147	54	in	in	ADP
ajst-21770	147	55	judging	judge	VERB
ajst-21770	147	56	the	the	DET
ajst-21770	147	57	damage	damage	NOUN
ajst-21770	147	58	of	of	ADP
ajst-21770	147	59	small	small	ADJ
ajst-21770	147	60	individual	individual	ADJ
ajst-21770	147	61	buildings	building	NOUN
ajst-21770	147	62	.	.	PUNCT
ajst-21770	148	1	the	the	DET
ajst-21770	148	2	judgment	judgment	NOUN
ajst-21770	148	3	of	of	ADP
ajst-21770	148	4	the	the	DET
ajst-21770	148	5	damage	damage	NOUN
ajst-21770	148	6	degree	degree	NOUN
ajst-21770	148	7	of	of	ADP
ajst-21770	148	8	buildings	building	NOUN
ajst-21770	148	9	with	with	ADP
ajst-21770	148	10	smaller	small	ADJ
ajst-21770	148	11	areas	area	NOUN
ajst-21770	148	12	is	be	AUX
ajst-21770	148	13	easily	easily	ADV
ajst-21770	148	14	influenced	influence	VERB
ajst-21770	148	15	,	,	PUNCT
ajst-21770	148	16	leading	lead	VERB
ajst-21770	148	17	to	to	ADP
ajst-21770	148	18	misjudgments	misjudgment	NOUN
ajst-21770	148	19	.	.	PUNCT
ajst-21770	149	1	5	5	X
ajst-21770	149	2	.	.	X
ajst-21770	149	3	conclusion	conclusion	NOUN
ajst-21770	149	4	this	this	DET
ajst-21770	149	5	paper	paper	NOUN
ajst-21770	149	6	proposes	propose	VERB
ajst-21770	149	7	an	an	DET
ajst-21770	149	8	instantiated	instantiate	VERB
ajst-21770	149	9	building	building	NOUN
ajst-21770	149	10	damage	damage	NOUN
ajst-21770	149	11	assessment	assessment	NOUN
ajst-21770	149	12	model	model	NOUN
ajst-21770	149	13	for	for	ADP
ajst-21770	149	14	identifying	identify	VERB
ajst-21770	149	15	and	and	CCONJ
ajst-21770	149	16	evaluating	evaluate	VERB
ajst-21770	149	17	the	the	DET
ajst-21770	149	18	degree	degree	NOUN
ajst-21770	149	19	of	of	ADP
ajst-21770	149	20	building	build	VERB
ajst-21770	149	21	damage	damage	NOUN
ajst-21770	149	22	using	use	VERB
ajst-21770	149	23	the	the	DET
ajst-21770	149	24	deau	deau	NOUN
ajst-21770	149	25	-	-	PUNCT
ajst-21770	149	26	net	net	NOUN
ajst-21770	149	27	,	,	PUNCT
ajst-21770	149	28	which	which	PRON
ajst-21770	149	29	is	be	AUX
ajst-21770	149	30	suitable	suitable	ADJ
ajst-21770	149	31	for	for	ADP
ajst-21770	149	32	multiple	multiple	ADJ
ajst-21770	149	33	disaster	disaster	NOUN
ajst-21770	149	34	types	type	NOUN
ajst-21770	149	35	.	.	PUNCT
ajst-21770	150	1	based	base	VERB
ajst-21770	150	2	on	on	ADP
ajst-21770	150	3	u	u	NOUN
ajst-21770	150	4	-	-	NOUN
ajst-21770	150	5	net	net	ADJ
ajst-21770	150	6	,	,	PUNCT
ajst-21770	150	7	the	the	DET
ajst-21770	150	8	model	model	NOUN
ajst-21770	150	9	integrates	integrate	VERB
ajst-21770	150	10	a	a	DET
ajst-21770	150	11	feature	feature	NOUN
ajst-21770	150	12	extraction	extraction	NOUN
ajst-21770	150	13	structure	structure	NOUN
ajst-21770	150	14	with	with	ADP
ajst-21770	150	15	residual	residual	ADJ
ajst-21770	150	16	structure	structure	NOUN
ajst-21770	150	17	to	to	PART
ajst-21770	150	18	optimize	optimize	VERB
ajst-21770	150	19	the	the	DET
ajst-21770	150	20	encoding	encoding	NOUN
ajst-21770	150	21	part	part	NOUN
ajst-21770	150	22	of	of	ADP
ajst-21770	150	23	u	u	NOUN
ajst-21770	150	24	-	-	NOUN
ajst-21770	150	25	net	net	ADJ
ajst-21770	150	26	,	,	PUNCT
ajst-21770	150	27	enhancing	enhance	VERB
ajst-21770	150	28	feature	feature	NOUN
ajst-21770	150	29	transmission	transmission	NOUN
ajst-21770	150	30	and	and	CCONJ
ajst-21770	150	31	acquiring	acquire	VERB
ajst-21770	150	32	more	more	ADV
ajst-21770	150	33	semantic	semantic	ADJ
ajst-21770	150	34	information	information	NOUN
ajst-21770	150	35	from	from	ADP
ajst-21770	150	36	images	image	NOUN
ajst-21770	150	37	.	.	PUNCT
ajst-21770	151	1	a	a	DET
ajst-21770	151	2	dual	dual	ADJ
ajst-21770	151	3	attention	attention	NOUN
ajst-21770	151	4	module	module	NOUN
ajst-21770	151	5	,	,	PUNCT
ajst-21770	151	6	consisting	consist	VERB
ajst-21770	151	7	of	of	ADP
ajst-21770	151	8	channel	channel	NOUN
ajst-21770	151	9	attention	attention	NOUN
ajst-21770	151	10	and	and	CCONJ
ajst-21770	151	11	spatial	spatial	ADJ
ajst-21770	151	12	attention	attention	NOUN
ajst-21770	151	13	,	,	PUNCT
ajst-21770	151	14	is	be	AUX
ajst-21770	151	15	introduced	introduce	VERB
ajst-21770	151	16	in	in	ADP
ajst-21770	151	17	the	the	DET
ajst-21770	151	18	skip	skip	ADJ
ajst-21770	151	19	connection	connection	NOUN
ajst-21770	151	20	part	part	NOUN
ajst-21770	151	21	of	of	ADP
ajst-21770	151	22	u	u	NOUN
ajst-21770	151	23	-	-	NOUN
ajst-21770	151	24	net	net	ADJ
ajst-21770	151	25	to	to	PART
ajst-21770	151	26	emphasize	emphasize	VERB
ajst-21770	151	27	the	the	DET
ajst-21770	151	28	semantic	semantic	ADJ
ajst-21770	151	29	and	and	CCONJ
ajst-21770	151	30	spatial	spatial	ADJ
ajst-21770	151	31	features	feature	NOUN
ajst-21770	151	32	of	of	ADP
ajst-21770	151	33	buildings	building	NOUN
ajst-21770	151	34	while	while	SCONJ
ajst-21770	151	35	suppressing	suppress	VERB
ajst-21770	151	36	irrelevant	irrelevant	ADJ
ajst-21770	151	37	background	background	NOUN
ajst-21770	151	38	information	information	NOUN
ajst-21770	151	39	.	.	PUNCT
ajst-21770	152	1	the	the	DET
ajst-21770	152	2	model	model	NOUN
ajst-21770	152	3	fully	fully	ADV
ajst-21770	152	4	utilizes	utilize	VERB
ajst-21770	152	5	the	the	DET
ajst-21770	152	6	weightsharing	weightsharing	NOUN
ajst-21770	152	7	characteristics	characteristic	NOUN
ajst-21770	152	8	of	of	ADP
ajst-21770	152	9	the	the	DET
ajst-21770	152	10	siamese	siamese	ADJ
ajst-21770	152	11	network	network	NOUN
ajst-21770	152	12	to	to	PART
ajst-21770	152	13	share	share	VERB
ajst-21770	152	14	the	the	DET
ajst-21770	152	15	image	image	NOUN
ajst-21770	152	16	features	feature	NOUN
ajst-21770	152	17	of	of	ADP
ajst-21770	152	18	buildings	building	NOUN
ajst-21770	152	19	before	before	ADP
ajst-21770	152	20	and	and	CCONJ
ajst-21770	152	21	after	after	ADP
ajst-21770	152	22	disasters	disaster	NOUN
ajst-21770	152	23	.	.	PUNCT
ajst-21770	153	1	experimental	experimental	ADJ
ajst-21770	153	2	results	result	NOUN
ajst-21770	153	3	on	on	ADP
ajst-21770	153	4	the	the	DET
ajst-21770	153	5	xbd	xbd	PROPN
ajst-21770	153	6	extraction	extraction	NOUN
ajst-21770	153	7	dataset	dataset	NOUN
ajst-21770	153	8	show	show	NOUN
ajst-21770	153	9	that	that	SCONJ
ajst-21770	153	10	deau	deau	PROPN
ajst-21770	153	11	-	-	PUNCT
ajst-21770	153	12	net	net	NOUN
ajst-21770	153	13	achieves	achieve	VERB
ajst-21770	153	14	optimal	optimal	ADJ
ajst-21770	153	15	results	result	NOUN
ajst-21770	153	16	in	in	ADP
ajst-21770	153	17	various	various	ADJ
ajst-21770	153	18	evaluation	evaluation	NOUN
ajst-21770	153	19	metrics	metric	NOUN
ajst-21770	153	20	for	for	ADP
ajst-21770	153	21	building	build	VERB
ajst-21770	153	22	extraction	extraction	NOUN
ajst-21770	153	23	experiments	experiment	NOUN
ajst-21770	153	24	,	,	PUNCT
ajst-21770	153	25	demonstrating	demonstrate	VERB
ajst-21770	153	26	its	its	PRON
ajst-21770	153	27	ability	ability	NOUN
ajst-21770	153	28	to	to	PART
ajst-21770	153	29	perform	perform	VERB
ajst-21770	153	30	cross	cross	ADJ
ajst-21770	153	31	-	-	ADJ
ajst-21770	153	32	disaster	disaster	ADJ
ajst-21770	153	33	assessment	assessment	NOUN
ajst-21770	153	34	of	of	ADP
ajst-21770	153	35	building	build	VERB
ajst-21770	153	36	damage	damage	NOUN
ajst-21770	153	37	degrees.references	degrees.references	NUM
ajst-21770	153	38	references	reference	NOUN
ajst-21770	153	39	[	[	X
ajst-21770	153	40	1	1	NUM
ajst-21770	153	41	]	]	PUNCT
ajst-21770	153	42	engel	engel	PROPN
ajst-21770	153	43	c	c	PROPN
ajst-21770	153	44	b	b	PROPN
ajst-21770	153	45	,	,	PUNCT
ajst-21770	153	46	jones	jones	PROPN
ajst-21770	153	47	s	s	PROPN
ajst-21770	153	48	d	d	PROPN
ajst-21770	153	49	,	,	PUNCT
ajst-21770	153	50	reinke	reinke	PROPN
ajst-21770	153	51	k.	k.	PROPN
ajst-21770	154	1	a	a	DET
ajst-21770	154	2	seasonal	seasonal	ADJ
ajst-21770	154	3	-	-	PUNCT
ajst-21770	154	4	window	window	NOUN
ajst-21770	154	5	ensemble	ensemble	NOUN
ajst-21770	154	6	-	-	PUNCT
ajst-21770	154	7	based	base	VERB
ajst-21770	154	8	thresholding	thresholding	NOUN
ajst-21770	154	9	technique	technique	NOUN
ajst-21770	154	10	used	use	VERB
ajst-21770	154	11	to	to	PART
ajst-21770	154	12	detect	detect	VERB
ajst-21770	154	13	active	active	ADJ
ajst-21770	154	14	120	120	NUM
ajst-21770	154	15	fires	fire	NOUN
ajst-21770	154	16	in	in	ADP
ajst-21770	154	17	geostationary	geostationary	NOUN
ajst-21770	154	18	remotely	remotely	ADV
ajst-21770	154	19	sensed	sense	VERB
ajst-21770	154	20	data	datum	NOUN
ajst-21770	155	1	[	[	X
ajst-21770	155	2	j	j	X
ajst-21770	155	3	]	]	X
ajst-21770	155	4	.	.	PUNCT
ajst-21770	156	1	ieee	ieee	NOUN
ajst-21770	156	2	transactions	transaction	NOUN
ajst-21770	156	3	on	on	ADP
ajst-21770	156	4	geoscience	geoscience	NOUN
ajst-21770	156	5	and	and	CCONJ
ajst-21770	156	6	remote	remote	ADJ
ajst-21770	156	7	sensing	sensing	NOUN
ajst-21770	156	8	,	,	PUNCT
ajst-21770	156	9	2020	2020	NUM
ajst-21770	156	10	,	,	PUNCT
ajst-21770	156	11	59(6	59(6	NUM
ajst-21770	156	12	):	):	PUNCT
ajst-21770	156	13	4947	4947	NUM
ajst-21770	156	14	-	-	SYM
ajst-21770	156	15	56	56	NUM
ajst-21770	156	16	.	.	PUNCT
ajst-21770	157	1	[	[	X
ajst-21770	157	2	2	2	X
ajst-21770	157	3	]	]	PUNCT
ajst-21770	157	4	pierdicca	pierdicca	NOUN
ajst-21770	157	5	n	n	CCONJ
ajst-21770	157	6	,	,	PUNCT
ajst-21770	157	7	anniballe	anniballe	PROPN
ajst-21770	157	8	r	r	NOUN
ajst-21770	157	9	,	,	PUNCT
ajst-21770	157	10	noto	noto	PROPN
ajst-21770	157	11	f	f	PROPN
ajst-21770	157	12	,	,	PUNCT
ajst-21770	157	13	et	et	PROPN
ajst-21770	157	14	al	al	PROPN
ajst-21770	157	15	.	.	PUNCT
ajst-21770	158	1	triple	triple	ADJ
ajst-21770	158	2	collocation	collocation	NOUN
ajst-21770	158	3	to	to	PART
ajst-21770	158	4	assess	assess	VERB
ajst-21770	158	5	classification	classification	NOUN
ajst-21770	158	6	accuracy	accuracy	NOUN
ajst-21770	158	7	without	without	ADP
ajst-21770	158	8	a	a	DET
ajst-21770	158	9	ground	ground	NOUN
ajst-21770	158	10	truth	truth	NOUN
ajst-21770	158	11	in	in	ADP
ajst-21770	158	12	case	case	NOUN
ajst-21770	158	13	of	of	ADP
ajst-21770	158	14	earthquake	earthquake	NOUN
ajst-21770	158	15	damage	damage	NOUN
ajst-21770	158	16	assessment	assessment	NOUN
ajst-21770	159	1	[	[	X
ajst-21770	159	2	j	j	X
ajst-21770	159	3	]	]	X
ajst-21770	159	4	.	.	PUNCT
ajst-21770	160	1	ieee	ieee	NOUN
ajst-21770	160	2	transactions	transaction	NOUN
ajst-21770	160	3	on	on	ADP
ajst-21770	160	4	geoscience	geoscience	NOUN
ajst-21770	160	5	and	and	CCONJ
ajst-21770	160	6	remote	remote	ADJ
ajst-21770	160	7	sensing	sensing	NOUN
ajst-21770	160	8	,	,	PUNCT
ajst-21770	160	9	2017	2017	NUM
ajst-21770	160	10	,	,	PUNCT
ajst-21770	160	11	56(1	56(1	NUM
ajst-21770	160	12	):	):	PUNCT
ajst-21770	160	13	485	485	NUM
ajst-21770	160	14	-	-	SYM
ajst-21770	160	15	96	96	NUM
ajst-21770	160	16	.	.	PUNCT
ajst-21770	161	1	[	[	X
ajst-21770	161	2	3	3	X
ajst-21770	161	3	]	]	X
ajst-21770	161	4	yamaguchi	yamaguchi	PROPN
ajst-21770	161	5	t	t	PROPN
ajst-21770	161	6	,	,	PUNCT
ajst-21770	161	7	mizutani	mizutani	PROPN
ajst-21770	161	8	t	t	PROPN
ajst-21770	161	9	,	,	PUNCT
ajst-21770	161	10	tarumi	tarumi	PROPN
ajst-21770	161	11	m	m	PROPN
ajst-21770	161	12	,	,	PUNCT
ajst-21770	161	13	et	et	PROPN
ajst-21770	161	14	al	al	PROPN
ajst-21770	161	15	.	.	PROPN
ajst-21770	161	16	sensitive	sensitive	ADJ
ajst-21770	161	17	damage	damage	NOUN
ajst-21770	161	18	detection	detection	NOUN
ajst-21770	161	19	of	of	ADP
ajst-21770	161	20	reinforced	reinforce	VERB
ajst-21770	161	21	concrete	concrete	ADJ
ajst-21770	161	22	bridge	bridge	NOUN
ajst-21770	161	23	slab	slab	NOUN
ajst-21770	161	24	by	by	ADP
ajst-21770	161	25	“	"	PUNCT
ajst-21770	161	26	timevariant	timevariant	ADJ
ajst-21770	161	27	deconvolution	deconvolution	NOUN
ajst-21770	161	28	”	"	PUNCT
ajst-21770	161	29	of	of	ADP
ajst-21770	161	30	shf	shf	NOUN
ajst-21770	161	31	-	-	PUNCT
ajst-21770	161	32	band	band	NOUN
ajst-21770	161	33	radar	radar	NOUN
ajst-21770	161	34	signal	signal	NOUN
ajst-21770	162	1	[	[	X
ajst-21770	162	2	j	j	X
ajst-21770	162	3	]	]	X
ajst-21770	162	4	.	.	PUNCT
ajst-21770	163	1	ieee	ieee	NOUN
ajst-21770	163	2	transactions	transaction	NOUN
ajst-21770	163	3	on	on	ADP
ajst-21770	163	4	geoscience	geoscience	NOUN
ajst-21770	163	5	and	and	CCONJ
ajst-21770	163	6	remote	remote	ADJ
ajst-21770	163	7	sensing	sensing	NOUN
ajst-21770	163	8	,	,	PUNCT
ajst-21770	163	9	2018	2018	NUM
ajst-21770	163	10	,	,	PUNCT
ajst-21770	163	11	57(3	57(3	NUM
ajst-21770	163	12	):	):	PUNCT
ajst-21770	163	13	1478	1478	NUM
ajst-21770	163	14	-	-	SYM
ajst-21770	163	15	88	88	NUM
ajst-21770	163	16	.	.	PUNCT
ajst-21770	164	1	[	[	X
ajst-21770	164	2	4	4	X
ajst-21770	164	3	]	]	X
ajst-21770	164	4	ritwik	ritwik	PROPN
ajst-21770	164	5	g.	g.	PROPN
ajst-21770	164	6	xbd	xbd	PROPN
ajst-21770	164	7	:	:	PUNCT
ajst-21770	164	8	a	a	DET
ajst-21770	164	9	dataset	dataset	NOUN
ajst-21770	164	10	for	for	ADP
ajst-21770	164	11	assessing	assess	VERB
ajst-21770	164	12	building	building	NOUN
ajst-21770	164	13	damage	damage	NOUN
ajst-21770	164	14	from	from	ADP
ajst-21770	164	15	satellite	satellite	NOUN
ajst-21770	164	16	imagery	imagery	NOUN
ajst-21770	165	1	[	[	X
ajst-21770	165	2	j	j	X
ajst-21770	165	3	]	]	X
ajst-21770	165	4	.	.	PUNCT
ajst-21770	166	1	arxiv	arxiv	PROPN
ajst-21770	166	2	preprint	preprint	PROPN
ajst-21770	166	3	,	,	PUNCT
ajst-21770	166	4	2019	2019	NUM
ajst-21770	166	5	.	.	PUNCT
ajst-21770	167	1	[	[	X
ajst-21770	167	2	5	5	NUM
ajst-21770	167	3	]	]	X
ajst-21770	167	4	gupta	gupta	PROPN
ajst-21770	167	5	r	r	PROPN
ajst-21770	167	6	,	,	PUNCT
ajst-21770	167	7	shah	shah	PROPN
ajst-21770	167	8	m.	m.	PROPN
ajst-21770	167	9	rescuenet	rescuenet	PROPN
ajst-21770	167	10	:	:	PUNCT
ajst-21770	167	11	joint	joint	ADJ
ajst-21770	167	12	building	building	NOUN
ajst-21770	167	13	segmentation	segmentation	NOUN
ajst-21770	167	14	and	and	CCONJ
ajst-21770	167	15	damage	damage	NOUN
ajst-21770	167	16	assessment	assessment	NOUN
ajst-21770	167	17	from	from	ADP
ajst-21770	167	18	satellite	satellite	NOUN
ajst-21770	167	19	imagery	imagery	NOUN
ajst-21770	167	20	;	;	PUNCT
ajst-21770	167	21	proceedings	proceeding	NOUN
ajst-21770	167	22	of	of	ADP
ajst-21770	167	23	the	the	DET
ajst-21770	167	24	2020	2020	NUM
ajst-21770	167	25	25th	25th	NOUN
ajst-21770	167	26	international	international	ADJ
ajst-21770	167	27	conference	conference	NOUN
ajst-21770	167	28	on	on	ADP
ajst-21770	167	29	pattern	pattern	NOUN
ajst-21770	167	30	recognition	recognition	NOUN
ajst-21770	167	31	(	(	PUNCT
ajst-21770	167	32	icpr	icpr	PROPN
ajst-21770	167	33	)	)	PUNCT
ajst-21770	167	34	,	,	PUNCT
ajst-21770	167	35	f	f	X
ajst-21770	167	36	,	,	PUNCT
ajst-21770	167	37	2021	2021	NUM
ajst-21770	168	1	[	[	X
ajst-21770	168	2	c	c	X
ajst-21770	168	3	]	]	PUNCT
ajst-21770	168	4	.	.	PUNCT
ajst-21770	169	1	ieee	ieee	PROPN
ajst-21770	169	2	.	.	PUNCT
ajst-21770	170	1	[	[	X
ajst-21770	170	2	6	6	NUM
ajst-21770	170	3	]	]	PUNCT
ajst-21770	170	4	weber	weber	PROPN
ajst-21770	170	5	e	e	PROPN
ajst-21770	170	6	,	,	PUNCT
ajst-21770	170	7	kané	kané	PROPN
ajst-21770	170	8	h.	h.	PROPN
ajst-21770	170	9	building	build	VERB
ajst-21770	170	10	disaster	disaster	NOUN
ajst-21770	170	11	damage	damage	NOUN
ajst-21770	170	12	assessment	assessment	NOUN
ajst-21770	170	13	in	in	ADP
ajst-21770	170	14	satellite	satellite	NOUN
ajst-21770	170	15	imagery	imagery	NOUN
ajst-21770	170	16	with	with	ADP
ajst-21770	170	17	multi	multi	ADJ
ajst-21770	170	18	-	-	ADJ
ajst-21770	170	19	temporal	temporal	ADJ
ajst-21770	170	20	fusion	fusion	NOUN
ajst-21770	171	1	[	[	X
ajst-21770	171	2	j	j	X
ajst-21770	171	3	]	]	X
ajst-21770	171	4	.	.	PUNCT
ajst-21770	172	1	arxiv	arxiv	PROPN
ajst-21770	172	2	preprint	preprint	NOUN
ajst-21770	172	3	arxiv:200405525	arxiv:200405525	NOUN
ajst-21770	172	4	,	,	PUNCT
ajst-21770	172	5	2020	2020	NUM
ajst-21770	172	6	.	.	PUNCT
ajst-21770	173	1	[	[	X
ajst-21770	173	2	7	7	NUM
ajst-21770	173	3	]	]	SYM
ajst-21770	173	4	su	su	PROPN
ajst-21770	173	5	j	j	PROPN
ajst-21770	173	6	,	,	PUNCT
ajst-21770	173	7	bai	bai	PROPN
ajst-21770	173	8	y	y	PROPN
ajst-21770	173	9	,	,	PUNCT
ajst-21770	173	10	wang	wang	PROPN
ajst-21770	173	11	x	x	PROPN
ajst-21770	173	12	,	,	PUNCT
ajst-21770	173	13	et	et	PROPN
ajst-21770	173	14	al	al	PROPN
ajst-21770	173	15	.	.	PUNCT
ajst-21770	174	1	technical	technical	ADJ
ajst-21770	174	2	solution	solution	NOUN
ajst-21770	174	3	discussion	discussion	NOUN
ajst-21770	174	4	for	for	ADP
ajst-21770	174	5	key	key	ADJ
ajst-21770	174	6	challenges	challenge	NOUN
ajst-21770	174	7	of	of	ADP
ajst-21770	174	8	operational	operational	ADJ
ajst-21770	174	9	convolutional	convolutional	ADJ
ajst-21770	174	10	neural	neural	ADJ
ajst-21770	174	11	network	network	NOUN
ajst-21770	174	12	-	-	PUNCT
ajst-21770	174	13	based	base	VERB
ajst-21770	174	14	building	building	NOUN
ajst-21770	174	15	-	-	PUNCT
ajst-21770	174	16	damage	damage	NOUN
ajst-21770	174	17	assessment	assessment	NOUN
ajst-21770	174	18	from	from	ADP
ajst-21770	174	19	satellite	satellite	NOUN
ajst-21770	174	20	imagery	imagery	NOUN
ajst-21770	174	21	:	:	PUNCT
ajst-21770	174	22	perspective	perspective	NOUN
ajst-21770	174	23	from	from	ADP
ajst-21770	174	24	benchmark	benchmark	PROPN
ajst-21770	174	25	xbd	xbd	PROPN
ajst-21770	174	26	dataset	dataset	VERB
ajst-21770	175	1	[	[	X
ajst-21770	175	2	j	j	X
ajst-21770	175	3	]	]	X
ajst-21770	175	4	.	.	PUNCT
ajst-21770	176	1	remote	remote	ADJ
ajst-21770	176	2	sensing	sensing	NOUN
ajst-21770	176	3	,	,	PUNCT
ajst-21770	176	4	2020	2020	NUM
ajst-21770	176	5	,	,	PUNCT
ajst-21770	176	6	12(22	12(22	NUM
ajst-21770	176	7	):	):	PUNCT
ajst-21770	176	8	3808	3808	NUM
ajst-21770	176	9	.	.	PUNCT
ajst-21770	177	1	[	[	X
ajst-21770	177	2	8	8	NUM
ajst-21770	177	3	]	]	X
ajst-21770	177	4	chen	chen	PROPN
ajst-21770	177	5	s	s	PROPN
ajst-21770	177	6	a	a	PRON
ajst-21770	177	7	,	,	PUNCT
ajst-21770	177	8	escay	escay	NOUN
ajst-21770	177	9	a	a	DET
ajst-21770	177	10	,	,	PUNCT
ajst-21770	177	11	haberland	haberland	NOUN
ajst-21770	177	12	c	c	NOUN
ajst-21770	177	13	,	,	PUNCT
ajst-21770	177	14	et	et	PROPN
ajst-21770	177	15	al	al	PROPN
ajst-21770	177	16	.	.	PROPN
ajst-21770	177	17	benchmark	benchmark	PROPN
ajst-21770	177	18	dataset	dataset	NOUN
ajst-21770	177	19	for	for	ADP
ajst-21770	177	20	automatic	automatic	ADJ
ajst-21770	177	21	damaged	damage	VERB
ajst-21770	177	22	building	building	NOUN
ajst-21770	177	23	detection	detection	NOUN
ajst-21770	177	24	from	from	ADP
ajst-21770	177	25	posthurricane	posthurricane	NOUN
ajst-21770	177	26	remotely	remotely	ADV
ajst-21770	177	27	sensed	sense	VERB
ajst-21770	177	28	imagery	imagery	NOUN
ajst-21770	178	1	[	[	X
ajst-21770	178	2	j	j	X
ajst-21770	178	3	]	]	X
ajst-21770	178	4	.	.	PUNCT
ajst-21770	179	1	arxiv	arxiv	PROPN
ajst-21770	179	2	preprint	preprint	PROPN
ajst-21770	179	3	arxiv:181205581	arxiv:181205581	NOUN
ajst-21770	179	4	,	,	PUNCT
ajst-21770	179	5	2018	2018	NUM
ajst-21770	179	6	.	.	PUNCT
ajst-21770	180	1	[	[	X
ajst-21770	180	2	9	9	NUM
ajst-21770	180	3	]	]	X
ajst-21770	180	4	gupta	gupta	PROPN
ajst-21770	180	5	r	r	PROPN
ajst-21770	180	6	,	,	PUNCT
ajst-21770	180	7	goodman	goodman	PROPN
ajst-21770	180	8	b	b	PROPN
ajst-21770	180	9	,	,	PUNCT
ajst-21770	180	10	patel	patel	PROPN
ajst-21770	180	11	n	n	CCONJ
ajst-21770	180	12	,	,	PUNCT
ajst-21770	180	13	et	et	PROPN
ajst-21770	180	14	al	al	PROPN
ajst-21770	180	15	.	.	PUNCT
ajst-21770	180	16	creating	create	VERB
ajst-21770	180	17	xbd	xbd	PROPN
ajst-21770	180	18	:	:	PUNCT
ajst-21770	180	19	a	a	DET
ajst-21770	180	20	dataset	dataset	NOUN
ajst-21770	180	21	for	for	ADP
ajst-21770	180	22	assessing	assess	VERB
ajst-21770	180	23	building	building	NOUN
ajst-21770	180	24	damage	damage	NOUN
ajst-21770	180	25	from	from	ADP
ajst-21770	180	26	satellite	satellite	NOUN
ajst-21770	180	27	imagery	imagery	NOUN
ajst-21770	180	28	;	;	PUNCT
ajst-21770	180	29	proceedings	proceeding	NOUN
ajst-21770	180	30	of	of	ADP
ajst-21770	180	31	the	the	DET
ajst-21770	180	32	proceedings	proceeding	NOUN
ajst-21770	180	33	of	of	ADP
ajst-21770	180	34	the	the	DET
ajst-21770	180	35	ieee	ieee	NOUN
ajst-21770	180	36	/	/	SYM
ajst-21770	180	37	cvf	cvf	NOUN
ajst-21770	180	38	conference	conference	NOUN
ajst-21770	180	39	on	on	ADP
ajst-21770	180	40	computer	computer	NOUN
ajst-21770	180	41	vision	vision	NOUN
ajst-21770	180	42	and	and	CCONJ
ajst-21770	180	43	pattern	pattern	NOUN
ajst-21770	180	44	recognition	recognition	NOUN
ajst-21770	180	45	workshops	workshop	NOUN
ajst-21770	180	46	,	,	PUNCT
ajst-21770	180	47	f	f	X
ajst-21770	180	48	,	,	PUNCT
ajst-21770	180	49	2019	2019	NUM
ajst-21770	180	50	[	[	X
ajst-21770	180	51	c	c	X
ajst-21770	180	52	]	]	PUNCT
ajst-21770	180	53	.	.	PUNCT
ajst-21770	181	1	[	[	X
ajst-21770	181	2	10	10	NUM
ajst-21770	181	3	]	]	X
ajst-21770	181	4	foulser	foulser	NOUN
ajst-21770	181	5	-	-	PUNCT
ajst-21770	181	6	piggott	piggott	PROPN
ajst-21770	181	7	r	r	PROPN
ajst-21770	181	8	,	,	PUNCT
ajst-21770	181	9	spence	spence	NOUN
ajst-21770	181	10	r	r	NOUN
ajst-21770	181	11	,	,	PUNCT
ajst-21770	181	12	saito	saito	PROPN
ajst-21770	181	13	k	k	PROPN
ajst-21770	181	14	,	,	PUNCT
ajst-21770	181	15	et	et	PROPN
ajst-21770	181	16	al	al	PROPN
ajst-21770	181	17	.	.	PUNCT
ajst-21770	182	1	the	the	DET
ajst-21770	182	2	use	use	NOUN
ajst-21770	182	3	of	of	ADP
ajst-21770	182	4	remote	remote	ADJ
ajst-21770	182	5	sensing	sensing	NOUN
ajst-21770	182	6	for	for	ADP
ajst-21770	182	7	post	post	ADJ
ajst-21770	182	8	-	-	ADJ
ajst-21770	182	9	earthquake	earthquake	ADJ
ajst-21770	182	10	damage	damage	NOUN
ajst-21770	182	11	assessment	assessment	NOUN
ajst-21770	182	12	:	:	PUNCT
ajst-21770	182	13	lessons	lesson	NOUN
ajst-21770	182	14	from	from	ADP
ajst-21770	182	15	recent	recent	ADJ
ajst-21770	182	16	events	event	NOUN
ajst-21770	182	17	,	,	PUNCT
ajst-21770	182	18	and	and	CCONJ
ajst-21770	182	19	future	future	ADJ
ajst-21770	182	20	prospects	prospect	NOUN
ajst-21770	182	21	;	;	PUNCT
ajst-21770	182	22	proceedings	proceeding	NOUN
ajst-21770	182	23	of	of	ADP
ajst-21770	182	24	the	the	DET
ajst-21770	182	25	proceedings	proceeding	NOUN
ajst-21770	182	26	of	of	ADP
ajst-21770	182	27	the	the	DET
ajst-21770	182	28	fifthteenth	fifthteenth	ADJ
ajst-21770	182	29	world	world	NOUN
ajst-21770	182	30	conference	conference	NOUN
ajst-21770	182	31	on	on	ADP
ajst-21770	182	32	earthquake	earthquake	NOUN
ajst-21770	182	33	engineering	engineering	NOUN
ajst-21770	182	34	,	,	PUNCT
ajst-21770	182	35	f	f	X
ajst-21770	182	36	,	,	PUNCT
ajst-21770	182	37	2012	2012	NUM
ajst-21770	182	38	[	[	X
ajst-21770	182	39	c	c	X
ajst-21770	182	40	]	]	PUNCT
ajst-21770	182	41	.	.	PUNCT
ajst-21770	183	1	[	[	X
ajst-21770	183	2	11	11	NUM
ajst-21770	183	3	]	]	X
ajst-21770	183	4	dong	dong	PROPN
ajst-21770	183	5	l	l	PROPN
ajst-21770	183	6	,	,	PUNCT
ajst-21770	183	7	shan	shan	PROPN
ajst-21770	183	8	j.	j.	PROPN
ajst-21770	183	9	a	a	DET
ajst-21770	183	10	comprehensive	comprehensive	ADJ
ajst-21770	183	11	review	review	NOUN
ajst-21770	183	12	of	of	ADP
ajst-21770	183	13	earthquakeinduced	earthquakeinduce	VERB
ajst-21770	183	14	building	building	NOUN
ajst-21770	183	15	damage	damage	NOUN
ajst-21770	183	16	detection	detection	NOUN
ajst-21770	183	17	with	with	ADP
ajst-21770	183	18	remote	remote	ADJ
ajst-21770	183	19	sensing	sensing	NOUN
ajst-21770	183	20	techniques	technique	NOUN
ajst-21770	184	1	[	[	X
ajst-21770	184	2	j	j	X
ajst-21770	184	3	]	]	X
ajst-21770	184	4	.	.	PUNCT
ajst-21770	185	1	isprs	isprs	PROPN
ajst-21770	185	2	journal	journal	PROPN
ajst-21770	185	3	of	of	ADP
ajst-21770	185	4	photogrammetry	photogrammetry	NOUN
ajst-21770	185	5	and	and	CCONJ
ajst-21770	185	6	remote	remote	ADJ
ajst-21770	185	7	sensing	sensing	NOUN
ajst-21770	185	8	,	,	PUNCT
ajst-21770	185	9	2013	2013	NUM
ajst-21770	185	10	,	,	PUNCT
ajst-21770	185	11	84	84	NUM
ajst-21770	185	12	:	:	SYM
ajst-21770	185	13	85	85	NUM
ajst-21770	185	14	-	-	SYM
ajst-21770	185	15	99	99	NUM
ajst-21770	185	16	.	.	PUNCT
ajst-21770	186	1	[	[	X
ajst-21770	186	2	12	12	NUM
ajst-21770	186	3	]	]	X
ajst-21770	186	4	ci	ci	PROPN
ajst-21770	186	5	t	t	PROPN
ajst-21770	186	6	,	,	PUNCT
ajst-21770	186	7	liu	liu	PROPN
ajst-21770	186	8	z	z	PROPN
ajst-21770	186	9	,	,	PUNCT
ajst-21770	186	10	wang	wang	PROPN
ajst-21770	186	11	y.	y.	PROPN
ajst-21770	186	12	assessment	assessment	NOUN
ajst-21770	186	13	of	of	ADP
ajst-21770	186	14	the	the	DET
ajst-21770	186	15	degree	degree	NOUN
ajst-21770	186	16	of	of	ADP
ajst-21770	186	17	building	build	VERB
ajst-21770	186	18	damage	damage	NOUN
ajst-21770	186	19	caused	cause	VERB
ajst-21770	186	20	by	by	ADP
ajst-21770	186	21	disaster	disaster	NOUN
ajst-21770	186	22	using	use	VERB
ajst-21770	186	23	convolutional	convolutional	ADJ
ajst-21770	186	24	neural	neural	ADJ
ajst-21770	186	25	networks	network	NOUN
ajst-21770	186	26	in	in	ADP
ajst-21770	186	27	combination	combination	NOUN
ajst-21770	186	28	with	with	ADP
ajst-21770	186	29	ordinal	ordinal	ADJ
ajst-21770	186	30	regression	regression	NOUN
ajst-21770	187	1	[	[	X
ajst-21770	187	2	j	j	X
ajst-21770	187	3	]	]	X
ajst-21770	187	4	.	.	PUNCT
ajst-21770	188	1	remote	remote	ADJ
ajst-21770	188	2	sensing	sensing	NOUN
ajst-21770	188	3	,	,	PUNCT
ajst-21770	188	4	2019	2019	NUM
ajst-21770	188	5	,	,	PUNCT
ajst-21770	188	6	11(23	11(23	NOUN
ajst-21770	188	7	):	):	PUNCT
ajst-21770	188	8	2858	2858	NUM
ajst-21770	188	9	.	.	PUNCT
ajst-21770	189	1	[	[	X
ajst-21770	189	2	13	13	NUM
ajst-21770	189	3	]	]	PUNCT
ajst-21770	189	4	sumer	sumer	PROPN
ajst-21770	189	5	e	e	PROPN
ajst-21770	189	6	,	,	PUNCT
ajst-21770	189	7	turker	turker	ADJ
ajst-21770	189	8	m.	m.	NOUN
ajst-21770	189	9	building	building	NOUN
ajst-21770	189	10	damage	damage	NOUN
ajst-21770	189	11	detection	detection	NOUN
ajst-21770	189	12	from	from	ADP
ajst-21770	189	13	post	post	ADJ
ajst-21770	189	14	-	-	ADJ
ajst-21770	189	15	earthquake	earthquake	ADJ
ajst-21770	189	16	aerial	aerial	ADJ
ajst-21770	189	17	imagery	imagery	NOUN
ajst-21770	189	18	using	use	VERB
ajst-21770	189	19	building	build	VERB
ajst-21770	189	20	grey	grey	ADJ
ajst-21770	189	21	-	-	PUNCT
ajst-21770	189	22	value	value	NOUN
ajst-21770	189	23	and	and	CCONJ
ajst-21770	189	24	gradient	gradient	NOUN
ajst-21770	189	25	orientation	orientation	NOUN
ajst-21770	189	26	analyses	analysis	NOUN
ajst-21770	189	27	;	;	PUNCT
ajst-21770	189	28	proceedings	proceeding	NOUN
ajst-21770	189	29	of	of	ADP
ajst-21770	189	30	the	the	DET
ajst-21770	189	31	proceedings	proceeding	NOUN
ajst-21770	189	32	of	of	ADP
ajst-21770	189	33	2nd	2nd	ADJ
ajst-21770	189	34	international	international	ADJ
ajst-21770	189	35	conference	conference	NOUN
ajst-21770	189	36	on	on	ADP
ajst-21770	189	37	recent	recent	ADJ
ajst-21770	189	38	advances	advance	NOUN
ajst-21770	189	39	in	in	ADP
ajst-21770	189	40	space	space	NOUN
ajst-21770	189	41	technologies	technology	NOUN
ajst-21770	189	42	,	,	PUNCT
ajst-21770	189	43	2005	2005	NUM
ajst-21770	189	44	rast	rast	NOUN
ajst-21770	189	45	2005	2005	NUM
ajst-21770	189	46	,	,	PUNCT
ajst-21770	189	47	f	f	X
ajst-21770	189	48	,	,	PUNCT
ajst-21770	189	49	2005	2005	NUM
ajst-21770	190	1	[	[	X
ajst-21770	190	2	c	c	X
ajst-21770	190	3	]	]	PUNCT
ajst-21770	190	4	.	.	PUNCT
ajst-21770	191	1	ieee	ieee	PROPN
ajst-21770	191	2	.	.	PUNCT
ajst-21770	192	1	[	[	X
ajst-21770	192	2	14	14	NUM
ajst-21770	192	3	]	]	PUNCT
ajst-21770	192	4	ye	ye	NUM
ajst-21770	192	5	x	x	NOUN
ajst-21770	192	6	,	,	PUNCT
ajst-21770	192	7	liu	liu	PROPN
ajst-21770	192	8	m	m	PROPN
ajst-21770	192	9	,	,	PUNCT
ajst-21770	192	10	wang	wang	PROPN
ajst-21770	192	11	j	j	PROPN
ajst-21770	192	12	,	,	PUNCT
ajst-21770	192	13	et	et	PROPN
ajst-21770	192	14	al	al	PROPN
ajst-21770	192	15	.	.	PUNCT
ajst-21770	192	16	building	building	NOUN
ajst-21770	192	17	-	-	PUNCT
ajst-21770	192	18	based	base	VERB
ajst-21770	192	19	damage	damage	NOUN
ajst-21770	192	20	detection	detection	NOUN
ajst-21770	192	21	from	from	ADP
ajst-21770	192	22	postquake	postquake	NOUN
ajst-21770	192	23	image	image	NOUN
ajst-21770	192	24	using	use	VERB
ajst-21770	192	25	multiple	multiple	ADJ
ajst-21770	192	26	-	-	PUNCT
ajst-21770	192	27	feature	feature	NOUN
ajst-21770	192	28	analysis	analysis	NOUN
ajst-21770	193	1	[	[	X
ajst-21770	193	2	j	j	X
ajst-21770	193	3	]	]	X
ajst-21770	193	4	.	.	PUNCT
ajst-21770	194	1	ieee	ieee	PROPN
ajst-21770	194	2	geoscience	geoscience	PROPN
ajst-21770	194	3	and	and	CCONJ
ajst-21770	194	4	remote	remote	ADJ
ajst-21770	194	5	sensing	sense	VERB
ajst-21770	194	6	letters	letter	NOUN
ajst-21770	194	7	,	,	PUNCT
ajst-21770	194	8	2017	2017	NUM
ajst-21770	194	9	,	,	PUNCT
ajst-21770	194	10	14(4	14(4	NUM
ajst-21770	194	11	):	):	PUNCT
ajst-21770	194	12	499	499	NUM
ajst-21770	194	13	-	-	SYM
ajst-21770	194	14	503	503	NUM
ajst-21770	194	15	.	.	PUNCT
ajst-21770	195	1	[	[	X
ajst-21770	195	2	15	15	NUM
ajst-21770	195	3	]	]	X
ajst-21770	195	4	rudner	rudner	NOUN
ajst-21770	195	5	t	t	PROPN
ajst-21770	195	6	g	g	PROPN
ajst-21770	195	7	,	,	PUNCT
ajst-21770	195	8	rußwurm	rußwurm	PROPN
ajst-21770	195	9	m	m	PROPN
ajst-21770	195	10	,	,	PUNCT
ajst-21770	195	11	fil	fil	PROPN
ajst-21770	195	12	j	j	PROPN
ajst-21770	195	13	,	,	PUNCT
ajst-21770	195	14	et	et	PROPN
ajst-21770	195	15	al	al	PROPN
ajst-21770	195	16	.	.	PROPN
ajst-21770	196	1	rapid	rapid	ADJ
ajst-21770	196	2	computer	computer	NOUN
ajst-21770	196	3	vision	vision	NOUN
ajst-21770	196	4	-	-	PUNCT
ajst-21770	196	5	aided	aid	VERB
ajst-21770	196	6	disaster	disaster	NOUN
ajst-21770	196	7	response	response	NOUN
ajst-21770	196	8	via	via	ADP
ajst-21770	196	9	fusion	fusion	NOUN
ajst-21770	196	10	of	of	ADP
ajst-21770	196	11	multiresolution	multiresolution	NOUN
ajst-21770	196	12	,	,	PUNCT
ajst-21770	196	13	multisensor	multisensor	NOUN
ajst-21770	196	14	,	,	PUNCT
ajst-21770	196	15	and	and	CCONJ
ajst-21770	196	16	multitemporal	multitemporal	ADJ
ajst-21770	196	17	satellite	satellite	NOUN
ajst-21770	196	18	imagery	imagery	NOUN
ajst-21770	196	19	;	;	PUNCT
ajst-21770	196	20	proceedings	proceeding	NOUN
ajst-21770	196	21	of	of	ADP
ajst-21770	196	22	the	the	DET
ajst-21770	196	23	proceedings	proceeding	NOUN
ajst-21770	196	24	of	of	ADP
ajst-21770	196	25	the	the	DET
ajst-21770	196	26	first	first	ADJ
ajst-21770	196	27	workshop	workshop	NOUN
ajst-21770	196	28	on	on	ADP
ajst-21770	196	29	ai	ai	NOUN
ajst-21770	196	30	for	for	ADP
ajst-21770	196	31	social	social	ADJ
ajst-21770	196	32	good	good	ADJ
ajst-21770	196	33	neural	neural	ADJ
ajst-21770	196	34	information	information	NOUN
ajst-21770	196	35	processing	processing	NOUN
ajst-21770	196	36	systems	system	NOUN
ajst-21770	196	37	(	(	PUNCT
ajst-21770	196	38	nips-2018	nips-2018	NOUN
ajst-21770	196	39	)	)	PUNCT
ajst-21770	196	40	,	,	PUNCT
ajst-21770	196	41	montreal	montreal	PROPN
ajst-21770	196	42	,	,	PUNCT
ajst-21770	196	43	qc	qc	PROPN
ajst-21770	196	44	,	,	PUNCT
ajst-21770	196	45	canada	canada	PROPN
ajst-21770	196	46	,	,	PUNCT
ajst-21770	196	47	f	f	PROPN
ajst-21770	196	48	,	,	PUNCT
ajst-21770	196	49	2018	2018	NUM
ajst-21770	197	1	[	[	X
ajst-21770	197	2	c	c	X
ajst-21770	197	3	]	]	PUNCT
ajst-21770	197	4	.	.	PUNCT
ajst-21770	198	1	[	[	X
ajst-21770	198	2	16	16	NUM
ajst-21770	198	3	]	]	X
ajst-21770	198	4	zhu	zhu	PROPN
ajst-21770	198	5	z.	z.	PROPN
ajst-21770	198	6	change	change	NOUN
ajst-21770	198	7	detection	detection	NOUN
ajst-21770	198	8	using	use	VERB
ajst-21770	198	9	landsat	landsat	PROPN
ajst-21770	198	10	time	time	PROPN
ajst-21770	198	11	series	series	PROPN
ajst-21770	198	12	:	:	PUNCT
ajst-21770	198	13	a	a	DET
ajst-21770	198	14	review	review	NOUN
ajst-21770	198	15	of	of	ADP
ajst-21770	198	16	frequencies	frequency	NOUN
ajst-21770	198	17	,	,	PUNCT
ajst-21770	198	18	preprocessing	preprocessing	NOUN
ajst-21770	198	19	,	,	PUNCT
ajst-21770	198	20	algorithms	algorithm	NOUN
ajst-21770	198	21	,	,	PUNCT
ajst-21770	198	22	and	and	CCONJ
ajst-21770	198	23	applications	application	NOUN
ajst-21770	198	24	[	[	X
ajst-21770	198	25	j	j	X
ajst-21770	198	26	]	]	X
ajst-21770	198	27	.	.	PUNCT
ajst-21770	199	1	isprs	isprs	PROPN
ajst-21770	199	2	journal	journal	PROPN
ajst-21770	199	3	of	of	ADP
ajst-21770	199	4	photogrammetry	photogrammetry	NOUN
ajst-21770	199	5	and	and	CCONJ
ajst-21770	199	6	remote	remote	ADJ
ajst-21770	199	7	sensing	sensing	NOUN
ajst-21770	199	8	,	,	PUNCT
ajst-21770	199	9	2017	2017	NUM
ajst-21770	199	10	,	,	PUNCT
ajst-21770	199	11	130	130	NUM
ajst-21770	199	12	:	:	SYM
ajst-21770	199	13	370	370	NUM
ajst-21770	199	14	-	-	SYM
ajst-21770	199	15	84	84	NUM
ajst-21770	199	16	.	.	PUNCT
ajst-21770	200	1	[	[	X
ajst-21770	200	2	17	17	NUM
ajst-21770	200	3	]	]	PUNCT
ajst-21770	200	4	tewkesbury	tewkesbury	NOUN
ajst-21770	200	5	a	a	DET
ajst-21770	200	6	p	p	X
ajst-21770	200	7	,	,	PUNCT
ajst-21770	200	8	comber	comber	PROPN
ajst-21770	200	9	a	a	PROPN
ajst-21770	200	10	j	j	PROPN
ajst-21770	200	11	,	,	PUNCT
ajst-21770	200	12	tate	tate	PROPN
ajst-21770	200	13	n	n	PROPN
ajst-21770	200	14	j	j	PROPN
ajst-21770	200	15	,	,	PUNCT
ajst-21770	200	16	et	et	PROPN
ajst-21770	200	17	al	al	PROPN
ajst-21770	200	18	.	.	PUNCT
ajst-21770	201	1	a	a	DET
ajst-21770	201	2	critical	critical	ADJ
ajst-21770	201	3	synthesis	synthesis	NOUN
ajst-21770	201	4	of	of	ADP
ajst-21770	201	5	remotely	remotely	ADV
ajst-21770	201	6	sensed	sense	VERB
ajst-21770	201	7	optical	optical	ADJ
ajst-21770	201	8	image	image	NOUN
ajst-21770	201	9	change	change	NOUN
ajst-21770	201	10	detection	detection	NOUN
ajst-21770	201	11	techniques	technique	NOUN
ajst-21770	201	12	[	[	X
ajst-21770	201	13	j	j	X
ajst-21770	201	14	]	]	X
ajst-21770	201	15	.	.	PUNCT
ajst-21770	202	1	remote	remote	ADJ
ajst-21770	202	2	sensing	sensing	NOUN
ajst-21770	202	3	of	of	ADP
ajst-21770	202	4	environment	environment	NOUN
ajst-21770	202	5	,	,	PUNCT
ajst-21770	202	6	2015	2015	NUM
ajst-21770	202	7	,	,	PUNCT
ajst-21770	202	8	160	160	NUM
ajst-21770	202	9	:	:	SYM
ajst-21770	202	10	1	1	NUM
ajst-21770	202	11	-	-	SYM
ajst-21770	202	12	14	14	NUM
ajst-21770	202	13	.	.	PUNCT
ajst-21770	203	1	[	[	X
ajst-21770	203	2	18	18	NUM
ajst-21770	203	3	]	]	PUNCT
ajst-21770	203	4	blaschke	blaschke	PROPN
ajst-21770	203	5	t	t	PROPN
ajst-21770	203	6	,	,	PUNCT
ajst-21770	203	7	kelly	kelly	PROPN
ajst-21770	203	8	m	m	PROPN
ajst-21770	203	9	,	,	PUNCT
ajst-21770	203	10	merschdorf	merschdorf	PROPN
ajst-21770	203	11	h.	h.	PROPN
ajst-21770	203	12	object	object	PROPN
ajst-21770	203	13	-	-	PUNCT
ajst-21770	203	14	based	base	VERB
ajst-21770	203	15	image	image	NOUN
ajst-21770	203	16	analysis	analysis	NOUN
ajst-21770	203	17	:	:	PUNCT
ajst-21770	203	18	evolution	evolution	NOUN
ajst-21770	203	19	,	,	PUNCT
ajst-21770	203	20	history	history	NOUN
ajst-21770	203	21	,	,	PUNCT
ajst-21770	203	22	state	state	NOUN
ajst-21770	203	23	of	of	ADP
ajst-21770	203	24	the	the	DET
ajst-21770	203	25	art	art	NOUN
ajst-21770	203	26	,	,	PUNCT
ajst-21770	203	27	and	and	CCONJ
ajst-21770	203	28	future	future	ADJ
ajst-21770	203	29	vision	vision	NOUN
ajst-21770	203	30	[	[	X
ajst-21770	203	31	m	m	X
ajst-21770	203	32	]	]	X
ajst-21770	203	33	.	.	PUNCT
ajst-21770	203	34	2015	2015	NUM
ajst-21770	203	35	.	.	PUNCT
ajst-21770	204	1	[	[	X
ajst-21770	204	2	19	19	NUM
ajst-21770	204	3	]	]	PUNCT
ajst-21770	204	4	zagoruyko	zagoruyko	PROPN
ajst-21770	204	5	s	s	PROPN
ajst-21770	204	6	,	,	PUNCT
ajst-21770	204	7	komodakis	komodakis	PROPN
ajst-21770	204	8	n.	n.	PROPN
ajst-21770	204	9	learning	learning	NOUN
ajst-21770	204	10	to	to	PART
ajst-21770	204	11	compare	compare	VERB
ajst-21770	204	12	image	image	NOUN
ajst-21770	204	13	patches	patch	NOUN
ajst-21770	204	14	via	via	ADP
ajst-21770	204	15	convolutional	convolutional	ADJ
ajst-21770	204	16	neural	neural	ADJ
ajst-21770	204	17	networks	network	NOUN
ajst-21770	204	18	;	;	PUNCT
ajst-21770	204	19	proceedings	proceeding	NOUN
ajst-21770	204	20	of	of	ADP
ajst-21770	204	21	the	the	DET
ajst-21770	204	22	proceedings	proceeding	NOUN
ajst-21770	204	23	of	of	ADP
ajst-21770	204	24	the	the	DET
ajst-21770	204	25	ieee	ieee	NOUN
ajst-21770	204	26	conference	conference	NOUN
ajst-21770	204	27	on	on	ADP
ajst-21770	204	28	computer	computer	NOUN
ajst-21770	204	29	vision	vision	NOUN
ajst-21770	204	30	and	and	CCONJ
ajst-21770	204	31	pattern	pattern	NOUN
ajst-21770	204	32	recognition	recognition	NOUN
ajst-21770	204	33	,	,	PUNCT
ajst-21770	204	34	f	f	PROPN
ajst-21770	204	35	,	,	PUNCT
ajst-21770	204	36	2015	2015	NUM
ajst-21770	205	1	[	[	X
ajst-21770	205	2	c	c	X
ajst-21770	205	3	]	]	PUNCT
ajst-21770	205	4	.	.	PUNCT
ajst-21770	206	1	[	[	X
ajst-21770	206	2	20	20	NUM
ajst-21770	206	3	]	]	X
ajst-21770	206	4	xiao	xiao	PROPN
ajst-21770	206	5	h	h	PROPN
ajst-21770	206	6	,	,	PUNCT
ajst-21770	206	7	peng	peng	PROPN
ajst-21770	206	8	y	y	PROPN
ajst-21770	206	9	,	,	PUNCT
ajst-21770	206	10	tan	tan	PROPN
ajst-21770	206	11	h	h	NOUN
ajst-21770	206	12	,	,	PUNCT
ajst-21770	206	13	et	et	PROPN
ajst-21770	206	14	al	al	PROPN
ajst-21770	206	15	.	.	PROPN
ajst-21770	206	16	dynamic	dynamic	PROPN
ajst-21770	206	17	cross	cross	NOUN
ajst-21770	206	18	fusion	fusion	NOUN
ajst-21770	206	19	network	network	NOUN
ajst-21770	206	20	for	for	ADP
ajst-21770	206	21	building	building	NOUN
ajst-21770	206	22	-	-	PUNCT
ajst-21770	206	23	based	base	VERB
ajst-21770	206	24	damage	damage	NOUN
ajst-21770	206	25	assessment	assessment	NOUN
ajst-21770	206	26	;	;	PUNCT
ajst-21770	206	27	proceedings	proceeding	NOUN
ajst-21770	206	28	of	of	ADP
ajst-21770	206	29	the	the	DET
ajst-21770	206	30	2021	2021	NUM
ajst-21770	206	31	ieee	ieee	NOUN
ajst-21770	206	32	international	international	ADJ
ajst-21770	206	33	conference	conference	NOUN
ajst-21770	206	34	on	on	ADP
ajst-21770	206	35	multimedia	multimedia	NOUN
ajst-21770	206	36	and	and	CCONJ
ajst-21770	206	37	expo	expo	NOUN
ajst-21770	206	38	(	(	PUNCT
ajst-21770	206	39	icme	icme	PROPN
ajst-21770	206	40	)	)	PUNCT
ajst-21770	206	41	,	,	PUNCT
ajst-21770	206	42	f	f	X
ajst-21770	206	43	,	,	PUNCT
ajst-21770	206	44	2021	2021	NUM
ajst-21770	206	45	[	[	X
ajst-21770	206	46	c	c	X
ajst-21770	206	47	]	]	PUNCT
ajst-21770	206	48	.	.	PUNCT
ajst-21770	207	1	ieee	ieee	PROPN
ajst-21770	207	2	.	.	PUNCT
ajst-21770	208	1	[	[	X
ajst-21770	208	2	21	21	NUM
ajst-21770	208	3	]	]	X
ajst-21770	208	4	fu	fu	NOUN
ajst-21770	208	5	x	x	NOUN
ajst-21770	208	6	,	,	PUNCT
ajst-21770	208	7	kouyama	kouyama	PROPN
ajst-21770	208	8	t	t	PROPN
ajst-21770	208	9	,	,	PUNCT
ajst-21770	208	10	yang	yang	PROPN
ajst-21770	208	11	h	h	PROPN
ajst-21770	208	12	,	,	PUNCT
ajst-21770	208	13	et	et	PROPN
ajst-21770	208	14	al	al	PROPN
ajst-21770	208	15	.	.	PROPN
ajst-21770	209	1	toward	toward	ADP
ajst-21770	209	2	faster	fast	ADJ
ajst-21770	209	3	and	and	CCONJ
ajst-21770	209	4	accurate	accurate	ADJ
ajst-21770	209	5	post	post	ADJ
ajst-21770	209	6	-	-	ADJ
ajst-21770	209	7	disaster	disaster	ADJ
ajst-21770	209	8	damage	damage	NOUN
ajst-21770	209	9	assessment	assessment	NOUN
ajst-21770	209	10	:	:	PUNCT
ajst-21770	209	11	development	development	NOUN
ajst-21770	209	12	of	of	ADP
ajst-21770	209	13	end	end	NOUN
ajst-21770	209	14	-	-	PUNCT
ajst-21770	209	15	to	to	ADP
ajst-21770	209	16	-	-	PUNCT
ajst-21770	209	17	end	end	NOUN
ajst-21770	209	18	building	building	NOUN
ajst-21770	209	19	damage	damage	NOUN
ajst-21770	209	20	detection	detection	NOUN
ajst-21770	209	21	framework	framework	NOUN
ajst-21770	209	22	with	with	ADP
ajst-21770	209	23	super	super	ADJ
ajst-21770	209	24	-	-	ADJ
ajst-21770	209	25	resolution	resolution	ADJ
ajst-21770	209	26	architecture	architecture	NOUN
ajst-21770	209	27	;	;	PUNCT
ajst-21770	209	28	proceedings	proceeding	NOUN
ajst-21770	209	29	of	of	ADP
ajst-21770	209	30	the	the	DET
ajst-21770	209	31	igarss	igarss	NOUN
ajst-21770	209	32	2022	2022	NUM
ajst-21770	209	33	-	-	SYM
ajst-21770	209	34	2022	2022	NUM
ajst-21770	209	35	ieee	ieee	NOUN
ajst-21770	209	36	international	international	ADJ
ajst-21770	209	37	geoscience	geoscience	PROPN
ajst-21770	209	38	and	and	CCONJ
ajst-21770	209	39	remote	remote	ADJ
ajst-21770	209	40	sensing	sense	VERB
ajst-21770	209	41	symposium	symposium	NOUN
ajst-21770	209	42	,	,	PUNCT
ajst-21770	209	43	f	f	X
ajst-21770	209	44	,	,	PUNCT
ajst-21770	209	45	2022	2022	NUM
ajst-21770	210	1	[	[	X
ajst-21770	210	2	c	c	X
ajst-21770	210	3	]	]	PUNCT
ajst-21770	210	4	.	.	PUNCT
ajst-21770	211	1	ieee	ieee	PROPN
ajst-21770	211	2	.	.	PUNCT
ajst-21770	212	1	[	[	X
ajst-21770	212	2	22	22	NUM
ajst-21770	212	3	]	]	X
ajst-21770	212	4	filipe	filipe	PROPN
ajst-21770	212	5	s	s	PROPN
ajst-21770	212	6	,	,	PUNCT
ajst-21770	212	7	alexandre	alexandre	PROPN
ajst-21770	212	8	l	l	NOUN
ajst-21770	212	9	a.	a.	NOUN
ajst-21770	212	10	from	from	ADP
ajst-21770	212	11	the	the	DET
ajst-21770	212	12	human	human	ADJ
ajst-21770	212	13	visual	visual	ADJ
ajst-21770	212	14	system	system	NOUN
ajst-21770	212	15	to	to	ADP
ajst-21770	212	16	the	the	DET
ajst-21770	212	17	computational	computational	ADJ
ajst-21770	212	18	models	model	NOUN
ajst-21770	212	19	of	of	ADP
ajst-21770	212	20	visual	visual	ADJ
ajst-21770	212	21	attention	attention	NOUN
ajst-21770	212	22	:	:	PUNCT
ajst-21770	212	23	a	a	DET
ajst-21770	212	24	survey	survey	NOUN
ajst-21770	212	25	[	[	X
ajst-21770	212	26	j	j	X
ajst-21770	212	27	]	]	X
ajst-21770	212	28	.	.	PUNCT
ajst-21770	213	1	artificial	artificial	ADJ
ajst-21770	213	2	intelligence	intelligence	NOUN
ajst-21770	213	3	review	review	NOUN
ajst-21770	213	4	,	,	PUNCT
ajst-21770	213	5	2013	2013	NUM
ajst-21770	213	6	,	,	PUNCT
ajst-21770	213	7	39(1	39(1	NUM
ajst-21770	213	8	):	):	PUNCT
ajst-21770	213	9	1	1	NUM
ajst-21770	213	10	-	-	SYM
ajst-21770	213	11	47	47	NUM
ajst-21770	213	12	.	.	PUNCT
ajst-21770	214	1	[	[	X
ajst-21770	214	2	23	23	NUM
ajst-21770	214	3	]	]	SYM
ajst-21770	214	4	hu	hu	PROPN
ajst-21770	215	1	j	j	PROPN
ajst-21770	215	2	,	,	PUNCT
ajst-21770	215	3	shen	shen	PROPN
ajst-21770	215	4	l	l	PROPN
ajst-21770	215	5	,	,	PUNCT
ajst-21770	215	6	sun	sun	PROPN
ajst-21770	215	7	g.	g.	PROPN
ajst-21770	215	8	squeeze	squeeze	PROPN
ajst-21770	215	9	-	-	PUNCT
ajst-21770	215	10	and	and	CCONJ
ajst-21770	215	11	-	-	PUNCT
ajst-21770	215	12	excitation	excitation	NOUN
ajst-21770	215	13	networks	network	NOUN
ajst-21770	215	14	;	;	PUNCT
ajst-21770	215	15	proceedings	proceeding	NOUN
ajst-21770	215	16	of	of	ADP
ajst-21770	215	17	the	the	DET
ajst-21770	215	18	proceedings	proceeding	NOUN
ajst-21770	215	19	of	of	ADP
ajst-21770	215	20	the	the	DET
ajst-21770	215	21	ieee	ieee	NOUN
ajst-21770	215	22	conference	conference	NOUN
ajst-21770	215	23	on	on	ADP
ajst-21770	215	24	computer	computer	NOUN
ajst-21770	215	25	vision	vision	NOUN
ajst-21770	215	26	and	and	CCONJ
ajst-21770	215	27	pattern	pattern	NOUN
ajst-21770	215	28	recognition	recognition	NOUN
ajst-21770	215	29	,	,	PUNCT
ajst-21770	215	30	f	f	PROPN
ajst-21770	215	31	,	,	PUNCT
ajst-21770	215	32	2018	2018	NUM
ajst-21770	216	1	[	[	X
ajst-21770	216	2	c	c	X
ajst-21770	216	3	]	]	PUNCT
ajst-21770	216	4	.	.	PUNCT
ajst-21770	217	1	[	[	X
ajst-21770	217	2	24	24	NUM
ajst-21770	217	3	]	]	X
ajst-21770	217	4	guo	guo	PROPN
ajst-21770	217	5	j	j	PROPN
ajst-21770	217	6	,	,	PUNCT
ajst-21770	217	7	ma	ma	PROPN
ajst-21770	217	8	x	x	PROPN
ajst-21770	217	9	,	,	PUNCT
ajst-21770	217	10	sansom	sansom	PROPN
ajst-21770	217	11	a	a	PROPN
ajst-21770	217	12	,	,	PUNCT
ajst-21770	217	13	et	et	PROPN
ajst-21770	217	14	al	al	PROPN
ajst-21770	217	15	.	.	PUNCT
ajst-21770	217	16	spanet	spanet	NOUN
ajst-21770	217	17	:	:	PUNCT
ajst-21770	217	18	spatial	spatial	ADJ
ajst-21770	217	19	pyramid	pyramid	NOUN
ajst-21770	217	20	attention	attention	NOUN
ajst-21770	217	21	network	network	NOUN
ajst-21770	217	22	for	for	ADP
ajst-21770	217	23	enhanced	enhanced	ADJ
ajst-21770	217	24	image	image	NOUN
ajst-21770	217	25	recognition	recognition	NOUN
ajst-21770	217	26	;	;	PUNCT
ajst-21770	217	27	proceedings	proceeding	NOUN
ajst-21770	217	28	of	of	ADP
ajst-21770	217	29	the	the	DET
ajst-21770	217	30	2020	2020	NUM
ajst-21770	217	31	ieee	ieee	PROPN
ajst-21770	217	32	international	international	ADJ
ajst-21770	217	33	conference	conference	NOUN
ajst-21770	217	34	on	on	ADP
ajst-21770	217	35	multimedia	multimedia	NOUN
ajst-21770	217	36	and	and	CCONJ
ajst-21770	217	37	expo	expo	NOUN
ajst-21770	217	38	(	(	PUNCT
ajst-21770	217	39	icme	icme	PROPN
ajst-21770	217	40	)	)	PUNCT
ajst-21770	217	41	,	,	PUNCT
ajst-21770	217	42	f	f	X
ajst-21770	217	43	,	,	PUNCT
ajst-21770	217	44	2020	2020	NUM
ajst-21770	218	1	[	[	X
ajst-21770	218	2	c	c	X
ajst-21770	218	3	]	]	PUNCT
ajst-21770	218	4	.	.	PUNCT
ajst-21770	219	1	ieee	ieee	PROPN
ajst-21770	219	2	.	.	PUNCT
ajst-21770	220	1	[	[	X
ajst-21770	220	2	25	25	NUM
ajst-21770	220	3	]	]	X
ajst-21770	220	4	woo	woo	NOUN
ajst-21770	220	5	s	s	PROPN
ajst-21770	220	6	,	,	PUNCT
ajst-21770	220	7	park	park	PROPN
ajst-21770	220	8	j	j	PROPN
ajst-21770	220	9	,	,	PUNCT
ajst-21770	220	10	lee	lee	PROPN
ajst-21770	220	11	j	j	PROPN
ajst-21770	220	12	-	-	PROPN
ajst-21770	220	13	y	y	PROPN
ajst-21770	220	14	,	,	PUNCT
ajst-21770	220	15	et	et	PROPN
ajst-21770	220	16	al	al	PROPN
ajst-21770	220	17	.	.	PUNCT
ajst-21770	220	18	cbam	cbam	NOUN
ajst-21770	220	19	:	:	PUNCT
ajst-21770	220	20	convolutional	convolutional	ADJ
ajst-21770	220	21	block	block	NOUN
ajst-21770	220	22	attention	attention	NOUN
ajst-21770	220	23	module	module	NOUN
ajst-21770	220	24	;	;	PUNCT
ajst-21770	220	25	proceedings	proceeding	NOUN
ajst-21770	220	26	of	of	ADP
ajst-21770	220	27	the	the	DET
ajst-21770	220	28	proceedings	proceeding	NOUN
ajst-21770	220	29	of	of	ADP
ajst-21770	220	30	the	the	DET
ajst-21770	220	31	european	european	PROPN
ajst-21770	220	32	conference	conference	PROPN
ajst-21770	220	33	on	on	ADP
ajst-21770	220	34	computer	computer	NOUN
ajst-21770	220	35	vision	vision	NOUN
ajst-21770	220	36	(	(	PUNCT
ajst-21770	220	37	eccv	eccv	ADV
ajst-21770	220	38	)	)	PUNCT
ajst-21770	220	39	,	,	PUNCT
ajst-21770	220	40	f	f	X
ajst-21770	220	41	,	,	PUNCT
ajst-21770	220	42	2018	2018	NUM
ajst-21770	221	1	[	[	X
ajst-21770	221	2	c	c	X
ajst-21770	221	3	]	]	PUNCT
ajst-21770	221	4	.	.	PUNCT
ajst-21770	222	1	[	[	X
ajst-21770	222	2	26	26	NUM
ajst-21770	222	3	]	]	X
ajst-21770	222	4	shen	shen	PROPN
ajst-21770	222	5	y	y	PROPN
ajst-21770	222	6	,	,	PUNCT
ajst-21770	222	7	zhu	zhu	PROPN
ajst-21770	222	8	s	s	PROPN
ajst-21770	222	9	,	,	PUNCT
ajst-21770	222	10	yang	yang	PROPN
ajst-21770	222	11	t	t	PROPN
ajst-21770	222	12	,	,	PUNCT
ajst-21770	222	13	et	et	PROPN
ajst-21770	222	14	al	al	PROPN
ajst-21770	222	15	.	.	PROPN
ajst-21770	222	16	bdanet	bdanet	PROPN
ajst-21770	222	17	:	:	PUNCT
ajst-21770	222	18	multiscale	multiscale	ADJ
ajst-21770	222	19	convolutional	convolutional	ADJ
ajst-21770	222	20	neural	neural	ADJ
ajst-21770	222	21	network	network	NOUN
ajst-21770	222	22	with	with	ADP
ajst-21770	222	23	cross	cross	ADJ
ajst-21770	222	24	-	-	ADJ
ajst-21770	222	25	directional	directional	ADJ
ajst-21770	222	26	attention	attention	NOUN
ajst-21770	222	27	for	for	ADP
ajst-21770	222	28	building	build	VERB
ajst-21770	222	29	damage	damage	NOUN
ajst-21770	222	30	assessment	assessment	NOUN
ajst-21770	222	31	from	from	ADP
ajst-21770	222	32	satellite	satellite	NOUN
ajst-21770	222	33	images	image	NOUN
ajst-21770	222	34	[	[	X
ajst-21770	222	35	j	j	X
ajst-21770	222	36	]	]	X
ajst-21770	222	37	.	.	PUNCT
ajst-21770	223	1	ieee	ieee	NOUN
ajst-21770	223	2	transactions	transaction	NOUN
ajst-21770	223	3	on	on	ADP
ajst-21770	223	4	geoscience	geoscience	NOUN
ajst-21770	223	5	and	and	CCONJ
ajst-21770	223	6	remote	remote	ADJ
ajst-21770	223	7	sensing	sensing	NOUN
ajst-21770	223	8	,	,	PUNCT
ajst-21770	223	9	2021	2021	NUM
ajst-21770	223	10	,	,	PUNCT
ajst-21770	223	11	60	60	NUM
ajst-21770	223	12	:	:	SYM
ajst-21770	223	13	114	114	NUM
ajst-21770	223	14	.	.	PUNCT
ajst-21770	224	1	[	[	X
ajst-21770	224	2	27	27	NUM
ajst-21770	224	3	]	]	X
ajst-21770	224	4	hao	hao	PROPN
ajst-21770	224	5	h	h	PROPN
ajst-21770	224	6	,	,	PUNCT
ajst-21770	224	7	baireddy	baireddy	NOUN
ajst-21770	224	8	s	s	PROPN
ajst-21770	224	9	,	,	PUNCT
ajst-21770	224	10	bartusiak	bartusiak	NOUN
ajst-21770	224	11	e	e	PROPN
ajst-21770	224	12	r	r	PROPN
ajst-21770	224	13	,	,	PUNCT
ajst-21770	224	14	et	et	PROPN
ajst-21770	224	15	al	al	PROPN
ajst-21770	224	16	.	.	PUNCT
ajst-21770	225	1	an	an	DET
ajst-21770	225	2	attentionbased	attentionbase	VERB
ajst-21770	225	3	system	system	NOUN
ajst-21770	225	4	for	for	ADP
ajst-21770	225	5	damage	damage	NOUN
ajst-21770	225	6	assessment	assessment	NOUN
ajst-21770	225	7	using	use	VERB
ajst-21770	225	8	satellite	satellite	NOUN
ajst-21770	225	9	imagery	imagery	NOUN
ajst-21770	225	10	;	;	PUNCT
ajst-21770	225	11	proceedings	proceeding	NOUN
ajst-21770	225	12	of	of	ADP
ajst-21770	225	13	the	the	DET
ajst-21770	225	14	2021	2021	NUM
ajst-21770	225	15	ieee	ieee	NOUN
ajst-21770	225	16	international	international	PROPN
ajst-21770	225	17	geoscience	geoscience	PROPN
ajst-21770	225	18	and	and	CCONJ
ajst-21770	225	19	remote	remote	ADJ
ajst-21770	225	20	sensing	sense	VERB
ajst-21770	225	21	symposium	symposium	NOUN
ajst-21770	225	22	igarss	igarss	NOUN
ajst-21770	225	23	,	,	PUNCT
ajst-21770	225	24	f	f	X
ajst-21770	225	25	,	,	PUNCT
ajst-21770	225	26	2021	2021	NUM
ajst-21770	225	27	[	[	X
ajst-21770	225	28	c	c	X
ajst-21770	225	29	]	]	PUNCT
ajst-21770	225	30	.	.	PUNCT
ajst-21770	226	1	ieee	ieee	PROPN
ajst-21770	226	2	.	.	PUNCT
ajst-21770	227	1	[	[	X
ajst-21770	227	2	28	28	NUM
ajst-21770	227	3	]	]	X
ajst-21770	227	4	wang	wang	PROPN
ajst-21770	227	5	x	x	PROPN
ajst-21770	227	6	,	,	PUNCT
ajst-21770	227	7	girshick	girshick	ADJ
ajst-21770	227	8	r	r	NOUN
ajst-21770	227	9	,	,	PUNCT
ajst-21770	227	10	gupta	gupta	PROPN
ajst-21770	227	11	a	a	PRON
ajst-21770	227	12	,	,	PUNCT
ajst-21770	227	13	et	et	PROPN
ajst-21770	227	14	al	al	PROPN
ajst-21770	227	15	.	.	PUNCT
ajst-21770	227	16	non	non	ADJ
ajst-21770	227	17	-	-	ADJ
ajst-21770	227	18	local	local	ADJ
ajst-21770	227	19	neural	neural	ADJ
ajst-21770	227	20	networks	network	NOUN
ajst-21770	227	21	;	;	PUNCT
ajst-21770	227	22	proceedings	proceeding	NOUN
ajst-21770	227	23	of	of	ADP
ajst-21770	227	24	the	the	DET
ajst-21770	227	25	proceedings	proceeding	NOUN
ajst-21770	227	26	of	of	ADP
ajst-21770	227	27	the	the	DET
ajst-21770	227	28	ieee	ieee	NOUN
ajst-21770	227	29	conference	conference	NOUN
ajst-21770	227	30	on	on	ADP
ajst-21770	227	31	computer	computer	NOUN
ajst-21770	227	32	vision	vision	NOUN
ajst-21770	227	33	and	and	CCONJ
ajst-21770	227	34	pattern	pattern	NOUN
ajst-21770	227	35	recognition	recognition	NOUN
ajst-21770	227	36	,	,	PUNCT
ajst-21770	227	37	f	f	PROPN
ajst-21770	227	38	,	,	PUNCT
ajst-21770	227	39	2018	2018	NUM
ajst-21770	228	1	[	[	X
ajst-21770	228	2	c	c	X
ajst-21770	228	3	]	]	PUNCT
ajst-21770	228	4	.	.	PUNCT
ajst-21770	229	1	[	[	X
ajst-21770	229	2	29	29	NUM
ajst-21770	229	3	]	]	X
ajst-21770	229	4	zhao	zhao	PROPN
ajst-21770	229	5	s	s	PROPN
ajst-21770	229	6	,	,	PUNCT
ajst-21770	229	7	zhang	zhang	PROPN
ajst-21770	229	8	x	x	PROPN
ajst-21770	229	9	,	,	PUNCT
ajst-21770	229	10	xiao	xiao	PROPN
ajst-21770	229	11	p	p	X
ajst-21770	229	12	,	,	PUNCT
ajst-21770	229	13	et	et	PROPN
ajst-21770	229	14	al	al	PROPN
ajst-21770	229	15	.	.	PUNCT
ajst-21770	229	16	exchanging	exchange	VERB
ajst-21770	229	17	dualencoder	dualencoder	NOUN
ajst-21770	229	18	–	–	PUNCT
ajst-21770	229	19	decoder	decoder	NOUN
ajst-21770	229	20	:	:	PUNCT
ajst-21770	229	21	a	a	DET
ajst-21770	229	22	new	new	ADJ
ajst-21770	229	23	strategy	strategy	NOUN
ajst-21770	229	24	for	for	ADP
ajst-21770	229	25	change	change	NOUN
ajst-21770	229	26	detection	detection	NOUN
ajst-21770	229	27	with	with	ADP
ajst-21770	229	28	semantic	semantic	ADJ
ajst-21770	229	29	guidance	guidance	NOUN
ajst-21770	229	30	and	and	CCONJ
ajst-21770	229	31	spatial	spatial	ADJ
ajst-21770	229	32	localization	localization	NOUN
ajst-21770	230	1	[	[	X
ajst-21770	230	2	j	j	X
ajst-21770	230	3	]	]	X
ajst-21770	230	4	.	.	PUNCT
ajst-21770	231	1	ieee	ieee	NOUN
ajst-21770	231	2	transactions	transaction	NOUN
ajst-21770	231	3	on	on	ADP
ajst-21770	231	4	geoscience	geoscience	NOUN
ajst-21770	231	5	and	and	CCONJ
ajst-21770	231	6	remote	remote	ADJ
ajst-21770	231	7	sensing	sensing	NOUN
ajst-21770	231	8	,	,	PUNCT
ajst-21770	231	9	2023	2023	NUM
ajst-21770	231	10	,	,	PUNCT
ajst-21770	231	11	61	61	NUM
ajst-21770	231	12	:	:	SYM
ajst-21770	231	13	116	116	NUM
ajst-21770	231	14	.	.	PUNCT
ajst-21770	232	1	[	[	X
ajst-21770	232	2	30	30	NUM
ajst-21770	232	3	]	]	X
ajst-21770	232	4	ronneberger	ronneberger	NOUN
ajst-21770	232	5	o	o	NOUN
ajst-21770	232	6	,	,	PUNCT
ajst-21770	232	7	fischer	fischer	PROPN
ajst-21770	232	8	p	p	PROPN
ajst-21770	232	9	,	,	PUNCT
ajst-21770	232	10	brox	brox	PROPN
ajst-21770	232	11	t.	t.	PROPN
ajst-21770	232	12	u	u	PROPN
ajst-21770	232	13	-	-	NOUN
ajst-21770	232	14	net	net	ADJ
ajst-21770	232	15	:	:	PUNCT
ajst-21770	232	16	convolutional	convolutional	ADJ
ajst-21770	232	17	networks	network	NOUN
ajst-21770	232	18	for	for	ADP
ajst-21770	232	19	biomedical	biomedical	ADJ
ajst-21770	232	20	image	image	NOUN
ajst-21770	232	21	segmentation	segmentation	NOUN
ajst-21770	232	22	;	;	PUNCT
ajst-21770	232	23	proceedings	proceeding	NOUN
ajst-21770	232	24	of	of	ADP
ajst-21770	232	25	the	the	DET
ajst-21770	232	26	medical	medical	ADJ
ajst-21770	232	27	image	image	NOUN
ajst-21770	232	28	computing	computing	NOUN
ajst-21770	232	29	and	and	CCONJ
ajst-21770	232	30	computerassisted	computerassiste	VERB
ajst-21770	232	31	intervention	intervention	NOUN
ajst-21770	232	32	–	–	PUNCT
ajst-21770	232	33	miccai	miccai	NOUN
ajst-21770	232	34	2015	2015	NUM
ajst-21770	232	35	:	:	PUNCT
ajst-21770	232	36	18th	18th	ADJ
ajst-21770	232	37	international	international	ADJ
ajst-21770	232	38	conference	conference	NOUN
ajst-21770	232	39	,	,	PUNCT
ajst-21770	232	40	munich	munich	PROPN
ajst-21770	232	41	,	,	PUNCT
ajst-21770	232	42	germany	germany	PROPN
ajst-21770	232	43	,	,	PUNCT
ajst-21770	232	44	october	october	PROPN
ajst-21770	232	45	5	5	NUM
ajst-21770	232	46	-	-	SYM
ajst-21770	232	47	9	9	NUM
ajst-21770	232	48	,	,	PUNCT
ajst-21770	232	49	2015	2015	NUM
ajst-21770	232	50	,	,	PUNCT
ajst-21770	232	51	proceedings	proceeding	NOUN
ajst-21770	232	52	,	,	PUNCT
ajst-21770	232	53	part	part	NOUN
ajst-21770	232	54	iii	iii	PROPN
ajst-21770	232	55	18	18	NUM
ajst-21770	232	56	,	,	PUNCT
ajst-21770	232	57	f	f	PROPN
ajst-21770	232	58	,	,	PUNCT
ajst-21770	232	59	2015	2015	NUM
ajst-21770	232	60	[	[	X
ajst-21770	232	61	c	c	X
ajst-21770	232	62	]	]	PUNCT
ajst-21770	232	63	.	.	PUNCT
ajst-21770	232	64	springer	springer	NOUN
ajst-21770	232	65	.	.	PUNCT
ajst-21770	233	1	[	[	X
ajst-21770	233	2	31	31	NUM
ajst-21770	233	3	]	]	X
ajst-21770	233	4	liu	liu	PROPN
ajst-21770	233	5	l	l	PROPN
ajst-21770	233	6	,	,	PUNCT
ajst-21770	233	7	cheng	cheng	PROPN
ajst-21770	233	8	j	j	PROPN
ajst-21770	233	9	,	,	PUNCT
ajst-21770	233	10	quan	quan	PROPN
ajst-21770	233	11	q	q	PROPN
ajst-21770	233	12	,	,	PUNCT
ajst-21770	233	13	et	et	PROPN
ajst-21770	233	14	al	al	PROPN
ajst-21770	233	15	.	.	PUNCT
ajst-21770	234	1	a	a	DET
ajst-21770	234	2	survey	survey	NOUN
ajst-21770	234	3	on	on	ADP
ajst-21770	234	4	u	u	ADJ
ajst-21770	234	5	-	-	ADJ
ajst-21770	234	6	shaped	shape	VERB
ajst-21770	234	7	networks	network	NOUN
ajst-21770	234	8	in	in	ADP
ajst-21770	234	9	medical	medical	ADJ
ajst-21770	234	10	image	image	NOUN
ajst-21770	234	11	segmentations	segmentation	NOUN
ajst-21770	234	12	[	[	X
ajst-21770	234	13	j	j	X
ajst-21770	234	14	]	]	X
ajst-21770	234	15	.	.	PUNCT
ajst-21770	235	1	neurocomputing	neurocomputing	NOUN
ajst-21770	235	2	,	,	PUNCT
ajst-21770	235	3	2020	2020	NUM
ajst-21770	235	4	,	,	PUNCT
ajst-21770	235	5	409	409	NUM
ajst-21770	235	6	:	:	SYM
ajst-21770	235	7	244	244	NUM
ajst-21770	235	8	-	-	SYM
ajst-21770	235	9	58	58	NUM
ajst-21770	235	10	.	.	PUNCT
ajst-21770	235	11	121	121	NUM
ajst-21770	236	1	[	[	X
ajst-21770	236	2	32	32	NUM
ajst-21770	236	3	]	]	PUNCT
ajst-21770	237	1	[	[	X
ajst-21770	237	2	xu	xu	INTJ
ajst-21770	237	3	g	g	PROPN
ajst-21770	237	4	,	,	PUNCT
ajst-21770	237	5	liao	liao	PROPN
ajst-21770	237	6	w	w	PROPN
ajst-21770	237	7	,	,	PUNCT
ajst-21770	237	8	zhang	zhang	PROPN
ajst-21770	237	9	x	x	PROPN
ajst-21770	237	10	,	,	PUNCT
ajst-21770	237	11	et	et	PROPN
ajst-21770	237	12	al	al	PROPN
ajst-21770	237	13	.	.	PROPN
ajst-21770	237	14	haar	haar	PROPN
ajst-21770	237	15	wavelet	wavelet	PROPN
ajst-21770	237	16	downsampling	downsampling	NOUN
ajst-21770	237	17	:	:	PUNCT
ajst-21770	237	18	a	a	DET
ajst-21770	237	19	simple	simple	ADJ
ajst-21770	237	20	but	but	CCONJ
ajst-21770	237	21	effective	effective	ADJ
ajst-21770	237	22	downsampling	downsampling	NOUN
ajst-21770	237	23	module	module	NOUN
ajst-21770	237	24	for	for	ADP
ajst-21770	237	25	semantic	semantic	ADJ
ajst-21770	237	26	segmentation	segmentation	NOUN
ajst-21770	238	1	[	[	X
ajst-21770	238	2	j	j	X
ajst-21770	238	3	]	]	X
ajst-21770	238	4	.	.	PUNCT
ajst-21770	239	1	pattern	pattern	NOUN
ajst-21770	239	2	recognition	recognition	NOUN
ajst-21770	239	3	,	,	PUNCT
ajst-21770	239	4	2023	2023	NUM
ajst-21770	239	5	,	,	PUNCT
ajst-21770	239	6	143	143	NUM
ajst-21770	239	7	:	:	SYM
ajst-21770	239	8	109819	109819	NUM
ajst-21770	239	9	.	.	PUNCT
ajst-21770	240	1	[	[	X
ajst-21770	240	2	33	33	NUM
ajst-21770	240	3	]	]	PUNCT
ajst-21770	240	4	daudt	daudt	NOUN
ajst-21770	240	5	r	r	NOUN
ajst-21770	240	6	c	c	NOUN
ajst-21770	240	7	,	,	PUNCT
ajst-21770	240	8	le	le	X
ajst-21770	240	9	saux	saux	PROPN
ajst-21770	240	10	b	b	X
ajst-21770	240	11	,	,	PUNCT
ajst-21770	240	12	boulch	boulch	PROPN
ajst-21770	240	13	a.	a.	NOUN
ajst-21770	240	14	fully	fully	ADV
ajst-21770	240	15	convolutional	convolutional	ADJ
ajst-21770	240	16	siamese	siamese	ADJ
ajst-21770	240	17	networks	network	NOUN
ajst-21770	240	18	for	for	ADP
ajst-21770	240	19	change	change	NOUN
ajst-21770	240	20	detection	detection	NOUN
ajst-21770	240	21	;	;	PUNCT
ajst-21770	240	22	proceedings	proceeding	NOUN
ajst-21770	240	23	of	of	ADP
ajst-21770	240	24	the	the	DET
ajst-21770	240	25	2018	2018	NUM
ajst-21770	240	26	25th	25th	NOUN
ajst-21770	240	27	ieee	ieee	PROPN
ajst-21770	240	28	international	international	ADJ
ajst-21770	240	29	conference	conference	NOUN
ajst-21770	240	30	on	on	ADP
ajst-21770	240	31	image	image	NOUN
ajst-21770	240	32	processing	processing	NOUN
ajst-21770	240	33	(	(	PUNCT
ajst-21770	240	34	icip	icip	PROPN
ajst-21770	240	35	)	)	PUNCT
ajst-21770	240	36	,	,	PUNCT
ajst-21770	240	37	f	f	X
ajst-21770	240	38	,	,	PUNCT
ajst-21770	240	39	2018	2018	NUM
ajst-21770	241	1	[	[	X
ajst-21770	241	2	c	c	X
ajst-21770	241	3	]	]	PUNCT
ajst-21770	241	4	.	.	PUNCT
ajst-21770	242	1	ieee	ieee	PROPN
ajst-21770	242	2	.	.	PUNCT
ajst-21770	243	1	[	[	X
ajst-21770	243	2	34	34	NUM
ajst-21770	243	3	]	]	X
ajst-21770	243	4	fang	fang	X
ajst-21770	243	5	s	s	PROPN
ajst-21770	243	6	,	,	PUNCT
ajst-21770	243	7	li	li	PROPN
ajst-21770	243	8	k	k	PROPN
ajst-21770	243	9	,	,	PUNCT
ajst-21770	243	10	shao	shao	PROPN
ajst-21770	243	11	j	j	PROPN
ajst-21770	243	12	,	,	PUNCT
ajst-21770	243	13	et	et	PROPN
ajst-21770	243	14	al	al	PROPN
ajst-21770	243	15	.	.	PUNCT
ajst-21770	243	16	snunet	snunet	PROPN
ajst-21770	243	17	-	-	PUNCT
ajst-21770	243	18	cd	cd	PROPN
ajst-21770	243	19	:	:	PUNCT
ajst-21770	243	20	a	a	DET
ajst-21770	243	21	densely	densely	ADV
ajst-21770	243	22	connected	connect	VERB
ajst-21770	243	23	siamese	siamese	ADJ
ajst-21770	243	24	network	network	NOUN
ajst-21770	243	25	for	for	ADP
ajst-21770	243	26	change	change	NOUN
ajst-21770	243	27	detection	detection	NOUN
ajst-21770	243	28	of	of	ADP
ajst-21770	243	29	vhr	vhr	NOUN
ajst-21770	243	30	images	image	NOUN
ajst-21770	243	31	[	[	X
ajst-21770	243	32	j	j	X
ajst-21770	243	33	]	]	X
ajst-21770	243	34	.	.	PUNCT
ajst-21770	244	1	ieee	ieee	PROPN
ajst-21770	244	2	geoscience	geoscience	PROPN
ajst-21770	244	3	and	and	CCONJ
ajst-21770	244	4	remote	remote	ADJ
ajst-21770	244	5	sensing	sense	VERB
ajst-21770	244	6	letters	letter	NOUN
ajst-21770	244	7	,	,	PUNCT
ajst-21770	244	8	2021	2021	NUM
ajst-21770	244	9	,	,	PUNCT
ajst-21770	244	10	19	19	NUM
ajst-21770	244	11	:	:	SYM
ajst-21770	244	12	1	1	NUM
ajst-21770	244	13	-	-	SYM
ajst-21770	244	14	5	5	NUM
ajst-21770	244	15	.	.	PUNCT
ajst-21770	245	1	[	[	X
ajst-21770	245	2	35	35	NUM
ajst-21770	245	3	]	]	X
ajst-21770	245	4	chen	chen	PROPN
ajst-21770	245	5	p	p	PROPN
ajst-21770	245	6	,	,	PUNCT
ajst-21770	245	7	zhang	zhang	PROPN
ajst-21770	245	8	b	b	PROPN
ajst-21770	245	9	,	,	PUNCT
ajst-21770	245	10	hong	hong	PROPN
ajst-21770	245	11	d	d	PROPN
ajst-21770	245	12	,	,	PUNCT
ajst-21770	245	13	et	et	PROPN
ajst-21770	245	14	al	al	PROPN
ajst-21770	245	15	.	.	PROPN
ajst-21770	245	16	fccdn	fccdn	PROPN
ajst-21770	245	17	:	:	PUNCT
ajst-21770	245	18	feature	feature	NOUN
ajst-21770	245	19	constraint	constraint	NOUN
ajst-21770	245	20	network	network	NOUN
ajst-21770	245	21	for	for	ADP
ajst-21770	245	22	vhr	vhr	NOUN
ajst-21770	245	23	image	image	NOUN
ajst-21770	245	24	change	change	NOUN
ajst-21770	245	25	detection	detection	NOUN
ajst-21770	245	26	[	[	X
ajst-21770	245	27	j	j	X
ajst-21770	245	28	]	]	X
ajst-21770	245	29	.	.	PUNCT
ajst-21770	246	1	isprs	isprs	PROPN
ajst-21770	246	2	journal	journal	PROPN
ajst-21770	246	3	of	of	ADP
ajst-21770	246	4	photogrammetry	photogrammetry	NOUN
ajst-21770	246	5	and	and	CCONJ
ajst-21770	246	6	remote	remote	ADJ
ajst-21770	246	7	sensing	sensing	NOUN
ajst-21770	246	8	,	,	PUNCT
ajst-21770	246	9	2022	2022	NUM
ajst-21770	246	10	,	,	PUNCT
ajst-21770	246	11	187	187	NUM
ajst-21770	246	12	:	:	SYM
ajst-21770	246	13	101	101	NUM
ajst-21770	246	14	-	-	SYM
ajst-21770	246	15	19	19	NUM
ajst-21770	246	16	.	.	PUNCT
ajst-21770	247	1	[	[	X
ajst-21770	247	2	36	36	NUM
ajst-21770	247	3	]	]	X
ajst-21770	247	4	zhang	zhang	PROPN
ajst-21770	247	5	c	c	PROPN
ajst-21770	247	6	,	,	PUNCT
ajst-21770	247	7	yue	yue	PROPN
ajst-21770	247	8	p	p	X
ajst-21770	247	9	,	,	PUNCT
ajst-21770	247	10	tapete	tapete	PROPN
ajst-21770	247	11	d	d	PROPN
ajst-21770	247	12	,	,	PUNCT
ajst-21770	247	13	et	et	PROPN
ajst-21770	247	14	al	al	PROPN
ajst-21770	247	15	.	.	PUNCT
ajst-21770	248	1	a	a	DET
ajst-21770	248	2	deeply	deeply	ADV
ajst-21770	248	3	supervised	supervised	ADJ
ajst-21770	248	4	image	image	NOUN
ajst-21770	248	5	fusion	fusion	NOUN
ajst-21770	248	6	network	network	NOUN
ajst-21770	248	7	for	for	ADP
ajst-21770	248	8	change	change	NOUN
ajst-21770	248	9	detection	detection	NOUN
ajst-21770	248	10	in	in	ADP
ajst-21770	248	11	high	high	ADJ
ajst-21770	248	12	resolution	resolution	NOUN
ajst-21770	248	13	bi	bi	ADJ
ajst-21770	248	14	-	-	ADJ
ajst-21770	248	15	temporal	temporal	ADJ
ajst-21770	248	16	remote	remote	ADJ
ajst-21770	248	17	sensing	sensing	NOUN
ajst-21770	248	18	images	image	NOUN
ajst-21770	248	19	[	[	X
ajst-21770	248	20	j	j	X
ajst-21770	248	21	]	]	X
ajst-21770	248	22	.	.	PUNCT
ajst-21770	249	1	isprs	isprs	PROPN
ajst-21770	249	2	journal	journal	PROPN
ajst-21770	249	3	of	of	ADP
ajst-21770	249	4	photogrammetry	photogrammetry	NOUN
ajst-21770	249	5	and	and	CCONJ
ajst-21770	249	6	remote	remote	ADJ
ajst-21770	249	7	sensing	sensing	NOUN
ajst-21770	249	8	,	,	PUNCT
ajst-21770	249	9	2020	2020	NUM
ajst-21770	249	10	,	,	PUNCT
ajst-21770	249	11	166	166	NUM
ajst-21770	249	12	:	:	SYM
ajst-21770	249	13	183	183	NUM
ajst-21770	249	14	-	-	SYM
ajst-21770	249	15	200	200	NUM
ajst-21770	249	16	.	.	PUNCT
ajst-21770	250	1	[	[	X
ajst-21770	250	2	37	37	NUM
ajst-21770	250	3	]	]	X
ajst-21770	250	4	zhang	zhang	PROPN
ajst-21770	250	5	l	l	PROPN
ajst-21770	250	6	,	,	PUNCT
ajst-21770	250	7	hu	hu	PROPN
ajst-21770	250	8	x	x	PROPN
ajst-21770	250	9	,	,	PUNCT
ajst-21770	250	10	zhang	zhang	PROPN
ajst-21770	250	11	m	m	PROPN
ajst-21770	250	12	,	,	PUNCT
ajst-21770	250	13	et	et	PROPN
ajst-21770	250	14	al	al	PROPN
ajst-21770	250	15	.	.	PROPN
ajst-21770	250	16	object	object	NOUN
ajst-21770	250	17	-	-	PUNCT
ajst-21770	250	18	level	level	NOUN
ajst-21770	250	19	change	change	NOUN
ajst-21770	250	20	detection	detection	NOUN
ajst-21770	250	21	with	with	ADP
ajst-21770	250	22	a	a	DET
ajst-21770	250	23	dual	dual	ADJ
ajst-21770	250	24	correlation	correlation	NOUN
ajst-21770	250	25	attention	attention	NOUN
ajst-21770	250	26	-	-	PUNCT
ajst-21770	250	27	guided	guide	VERB
ajst-21770	250	28	detector	detector	NOUN
ajst-21770	250	29	[	[	X
ajst-21770	250	30	j	j	X
ajst-21770	250	31	]	]	X
ajst-21770	250	32	.	.	PUNCT
ajst-21770	251	1	isprs	isprs	PROPN
ajst-21770	251	2	journal	journal	PROPN
ajst-21770	251	3	of	of	ADP
ajst-21770	251	4	photogrammetry	photogrammetry	NOUN
ajst-21770	251	5	and	and	CCONJ
ajst-21770	251	6	remote	remote	ADJ
ajst-21770	251	7	sensing	sensing	NOUN
ajst-21770	251	8	,	,	PUNCT
ajst-21770	251	9	2021	2021	NUM
ajst-21770	251	10	,	,	PUNCT
ajst-21770	251	11	177	177	NUM
ajst-21770	251	12	:	:	PUNCT
ajst-21770	251	13	147	147	NUM
ajst-21770	251	14	-	-	SYM
ajst-21770	251	15	60	60	NUM
ajst-21770	251	16	.	.	PUNCT
ajst-21770	252	1	[	[	X
ajst-21770	252	2	38	38	NUM
ajst-21770	252	3	]	]	PUNCT
ajst-21770	252	4	buslaev	buslaev	VERB
ajst-21770	252	5	a	a	PRON
ajst-21770	252	6	,	,	PUNCT
ajst-21770	252	7	iglovikov	iglovikov	NOUN
ajst-21770	252	8	v	v	ADP
ajst-21770	252	9	i	i	PROPN
ajst-21770	252	10	,	,	PUNCT
ajst-21770	252	11	khvedchenya	khvedchenya	PROPN
ajst-21770	252	12	e	e	PROPN
ajst-21770	252	13	,	,	PUNCT
ajst-21770	252	14	et	et	PROPN
ajst-21770	252	15	al	al	PROPN
ajst-21770	252	16	.	.	PUNCT
ajst-21770	252	17	albumentations	albumentation	NOUN
ajst-21770	252	18	:	:	PUNCT
ajst-21770	252	19	fast	fast	ADJ
ajst-21770	252	20	and	and	CCONJ
ajst-21770	252	21	flexible	flexible	ADJ
ajst-21770	252	22	image	image	NOUN
ajst-21770	252	23	augmentations	augmentation	NOUN
ajst-21770	252	24	[	[	X
ajst-21770	252	25	j	j	X
ajst-21770	252	26	]	]	X
ajst-21770	252	27	.	.	PUNCT
ajst-21770	253	1	information	information	NOUN
ajst-21770	253	2	,	,	PUNCT
ajst-21770	253	3	2020	2020	NUM
ajst-21770	253	4	,	,	PUNCT
ajst-21770	253	5	11(2	11(2	NUM
ajst-21770	253	6	):	):	PUNCT
ajst-21770	253	7	125	125	NUM
ajst-21770	253	8	.	.	PUNCT
ajst-21770	254	1	[	[	X
ajst-21770	254	2	39	39	NUM
ajst-21770	254	3	]	]	X
ajst-21770	254	4	yun	yun	PROPN
ajst-21770	254	5	s	s	PROPN
ajst-21770	254	6	,	,	PUNCT
ajst-21770	254	7	han	han	PROPN
ajst-21770	254	8	d	d	PROPN
ajst-21770	254	9	,	,	PUNCT
ajst-21770	255	1	oh	oh	INTJ
ajst-21770	255	2	s	s	PROPN
ajst-21770	255	3	j	j	PROPN
ajst-21770	255	4	,	,	PUNCT
ajst-21770	255	5	et	et	PROPN
ajst-21770	255	6	al	al	PROPN
ajst-21770	255	7	.	.	PROPN
ajst-21770	255	8	cutmix	cutmix	PROPN
ajst-21770	255	9	:	:	PUNCT
ajst-21770	255	10	regularization	regularization	NOUN
ajst-21770	255	11	strategy	strategy	NOUN
ajst-21770	255	12	to	to	PART
ajst-21770	255	13	train	train	VERB
ajst-21770	255	14	strong	strong	ADJ
ajst-21770	255	15	classifiers	classifier	NOUN
ajst-21770	255	16	with	with	ADP
ajst-21770	255	17	localizable	localizable	ADJ
ajst-21770	255	18	features	feature	NOUN
ajst-21770	255	19	;	;	PUNCT
ajst-21770	255	20	proceedings	proceeding	NOUN
ajst-21770	255	21	of	of	ADP
ajst-21770	255	22	the	the	DET
ajst-21770	255	23	proceedings	proceeding	NOUN
ajst-21770	255	24	of	of	ADP
ajst-21770	255	25	the	the	DET
ajst-21770	255	26	ieee	ieee	NOUN
ajst-21770	255	27	/	/	SYM
ajst-21770	255	28	cvf	cvf	NOUN
ajst-21770	255	29	international	international	ADJ
ajst-21770	255	30	conference	conference	NOUN
ajst-21770	255	31	on	on	ADP
ajst-21770	255	32	computer	computer	NOUN
ajst-21770	255	33	vision	vision	NOUN
ajst-21770	255	34	,	,	PUNCT
ajst-21770	255	35	f	f	PROPN
ajst-21770	255	36	,	,	PUNCT
ajst-21770	255	37	2019	2019	NUM
ajst-21770	256	1	[	[	X
ajst-21770	256	2	c	c	X
ajst-21770	256	3	]	]	PUNCT
ajst-21770	256	4	.	.	PUNCT
ajst-21770	257	1	[	[	X
ajst-21770	257	2	40	40	NUM
ajst-21770	257	3	]	]	PUNCT
ajst-21770	257	4	paszke	paszke	NOUN
ajst-21770	257	5	a	a	DET
ajst-21770	257	6	,	,	PUNCT
ajst-21770	257	7	gross	gross	ADJ
ajst-21770	257	8	s	s	NOUN
ajst-21770	257	9	,	,	PUNCT
ajst-21770	257	10	massa	massa	PROPN
ajst-21770	257	11	f	f	PROPN
ajst-21770	257	12	,	,	PUNCT
ajst-21770	257	13	et	et	PROPN
ajst-21770	257	14	al	al	PROPN
ajst-21770	257	15	.	.	PROPN
ajst-21770	257	16	pytorch	pytorch	PROPN
ajst-21770	257	17	:	:	PUNCT
ajst-21770	257	18	an	an	DET
ajst-21770	257	19	imperative	imperative	ADJ
ajst-21770	257	20	style	style	NOUN
ajst-21770	257	21	,	,	PUNCT
ajst-21770	257	22	high	high	ADJ
ajst-21770	257	23	-	-	PUNCT
ajst-21770	257	24	performance	performance	NOUN
ajst-21770	257	25	deep	deep	ADJ
ajst-21770	257	26	learning	learning	NOUN
ajst-21770	257	27	library	library	NOUN
ajst-21770	258	1	[	[	X
ajst-21770	258	2	j	j	X
ajst-21770	258	3	]	]	X
ajst-21770	258	4	.	.	PUNCT
ajst-21770	259	1	advances	advance	NOUN
ajst-21770	259	2	in	in	ADP
ajst-21770	259	3	neural	neural	ADJ
ajst-21770	259	4	information	information	NOUN
ajst-21770	259	5	processing	processing	NOUN
ajst-21770	259	6	systems	system	NOUN
ajst-21770	259	7	,	,	PUNCT
ajst-21770	259	8	2019	2019	NUM
ajst-21770	259	9	,	,	PUNCT
ajst-21770	259	10	32	32	NUM
ajst-21770	259	11	.	.	PUNCT
ajst-21770	260	1	[	[	X
ajst-21770	260	2	41	41	NUM
ajst-21770	260	3	]	]	PUNCT
ajst-21770	260	4	kingma	kingma	PROPN
ajst-21770	261	1	d	d	X
ajst-21770	261	2	p	p	PROPN
ajst-21770	261	3	,	,	PUNCT
ajst-21770	261	4	ba	ba	PROPN
ajst-21770	261	5	j.	j.	PROPN
ajst-21770	261	6	adam	adam	PROPN
ajst-21770	261	7	:	:	PUNCT
ajst-21770	261	8	a	a	DET
ajst-21770	261	9	method	method	NOUN
ajst-21770	261	10	for	for	ADP
ajst-21770	261	11	stochastic	stochastic	ADJ
ajst-21770	261	12	optimization	optimization	NOUN
ajst-21770	261	13	[	[	X
ajst-21770	261	14	j	j	X
ajst-21770	261	15	]	]	X
ajst-21770	261	16	.	.	PUNCT
ajst-21770	262	1	arxiv	arxiv	PROPN
ajst-21770	262	2	preprint	preprint	VERB
ajst-21770	262	3	arxiv:14126980	arxiv:14126980	NOUN
ajst-21770	262	4	,	,	PUNCT
ajst-21770	262	5	2014	2014	NUM
ajst-21770	262	6	.	.	PUNCT