id	sid	tid	token	lemma	pos
ajst-8021	1	1	academic	academic	ADJ
ajst-8021	1	2	journal	journal	NOUN
ajst-8021	1	3	of	of	ADP
ajst-8021	1	4	science	science	NOUN
ajst-8021	1	5	and	and	CCONJ
ajst-8021	1	6	technology	technology	NOUN
ajst-8021	1	7	issn	issn	NOUN
ajst-8021	1	8	:	:	PUNCT
ajst-8021	1	9	2771	2771	NUM
ajst-8021	1	10	-	-	SYM
ajst-8021	1	11	3032	3032	NUM
ajst-8021	1	12	|	|	NOUN
ajst-8021	1	13	vol	vol	NOUN
ajst-8021	1	14	.	.	PROPN
ajst-8021	2	1	5	5	NUM
ajst-8021	2	2	,	,	PUNCT
ajst-8021	2	3	no	no	INTJ
ajst-8021	2	4	.	.	NOUN
ajst-8021	2	5	3	3	NUM
ajst-8021	2	6	,	,	PUNCT
ajst-8021	2	7	2023	2023	NUM
ajst-8021	2	8	237	237	NUM
ajst-8021	2	9	mechanisms	mechanism	NOUN
ajst-8021	2	10	and	and	CCONJ
ajst-8021	2	11	applications	application	NOUN
ajst-8021	2	12	of	of	ADP
ajst-8021	2	13	attention	attention	NOUN
ajst-8021	2	14	in	in	ADP
ajst-8021	2	15	medical	medical	ADJ
ajst-8021	2	16	image	image	NOUN
ajst-8021	2	17	segmentation	segmentation	NOUN
ajst-8021	2	18	:	:	PUNCT
ajst-8021	2	19	a	a	DET
ajst-8021	2	20	review	review	NOUN
ajst-8021	2	21	-subtitle	-subtitle	NOUN
ajst-8021	2	22	is	be	AUX
ajst-8021	2	23	not	not	PART
ajst-8021	2	24	required	require	VERB
ajst-8021	2	25	,	,	PUNCT
ajst-8021	2	26	please	please	INTJ
ajst-8021	2	27	write	write	VERB
ajst-8021	2	28	it	it	PRON
ajst-8021	2	29	here	here	ADV
ajst-8021	2	30	if	if	SCONJ
ajst-8021	2	31	your	your	PRON
ajst-8021	2	32	article	article	NOUN
ajst-8021	2	33	has	have	VERB
ajst-8021	2	34	one	one	NUM
ajst-8021	2	35	yabei	yabei	NOUN
ajst-8021	2	36	li1	li1	NOUN
ajst-8021	2	37	,	,	PUNCT
ajst-8021	2	38	*	*	PUNCT
ajst-8021	2	39	,	,	PUNCT
ajst-8021	2	40	minjun	minjun	PROPN
ajst-8021	2	41	liang1	liang1	PROPN
ajst-8021	2	42	,	,	PUNCT
ajst-8021	2	43	mingyang	mingyang	PROPN
ajst-8021	2	44	wei1	wei1	PROPN
ajst-8021	2	45	,	,	PUNCT
ajst-8021	2	46	ge	ge	PROPN
ajst-8021	2	47	wang1	wang1	PROPN
ajst-8021	2	48	,	,	PUNCT
ajst-8021	2	49	yanan	yanan	PROPN
ajst-8021	2	50	li2	li2	PROPN
ajst-8021	2	51	1	1	NUM
ajst-8021	2	52	school	school	NOUN
ajst-8021	2	53	of	of	ADP
ajst-8021	2	54	computer	computer	NOUN
ajst-8021	2	55	science	science	NOUN
ajst-8021	2	56	and	and	CCONJ
ajst-8021	2	57	technology	technology	NOUN
ajst-8021	2	58	,	,	PUNCT
ajst-8021	2	59	henan	henan	PROPN
ajst-8021	2	60	polytechnic	polytechnic	PROPN
ajst-8021	2	61	university	university	PROPN
ajst-8021	2	62	,	,	PUNCT
ajst-8021	2	63	jiaozuo	jiaozuo	PROPN
ajst-8021	2	64	,	,	PUNCT
ajst-8021	2	65	henan	henan	PROPN
ajst-8021	2	66	,	,	PUNCT
ajst-8021	2	67	454000	454000	NUM
ajst-8021	2	68	,	,	PUNCT
ajst-8021	3	1	p.	p.	PROPN
ajst-8021	3	2	r.	r.	PROPN
ajst-8021	3	3	china	china	PROPN
ajst-8021	3	4	2	2	NUM
ajst-8021	3	5	institute	institute	PROPN
ajst-8021	3	6	of	of	ADP
ajst-8021	3	7	orthopaedics	orthopaedic	NOUN
ajst-8021	3	8	and	and	CCONJ
ajst-8021	3	9	traumatology	traumatology	NOUN
ajst-8021	3	10	,	,	PUNCT
ajst-8021	3	11	the	the	DET
ajst-8021	3	12	first	first	ADJ
ajst-8021	3	13	affiliated	affiliated	ADJ
ajst-8021	3	14	hospital	hospital	NOUN
ajst-8021	3	15	of	of	ADP
ajst-8021	3	16	zhejiang	zhejiang	PROPN
ajst-8021	3	17	chinese	chinese	PROPN
ajst-8021	3	18	medical	medical	PROPN
ajst-8021	3	19	university	university	PROPN
ajst-8021	3	20	,	,	PUNCT
ajst-8021	3	21	hangzhou	hangzhou	PROPN
ajst-8021	3	22	,	,	PUNCT
ajst-8021	3	23	china	china	PROPN
ajst-8021	3	24	.	.	PUNCT
ajst-8021	4	1	*	*	PUNCT
ajst-8021	4	2	corresponding	correspond	VERB
ajst-8021	4	3	author	author	NOUN
ajst-8021	4	4	:	:	PUNCT
ajst-8021	4	5	yabei	yabei	PROPN
ajst-8021	4	6	li	li	PROPN
ajst-8021	4	7	(	(	PUNCT
ajst-8021	4	8	liyabei@home.hpu.edu.cn	liyabei@home.hpu.edu.cn	PROPN
ajst-8021	4	9	)	)	PUNCT
ajst-8021	4	10	abstract	abstract	NOUN
ajst-8021	4	11	:	:	PUNCT
ajst-8021	4	12	the	the	DET
ajst-8021	4	13	core	core	ADJ
ajst-8021	4	14	task	task	NOUN
ajst-8021	4	15	of	of	ADP
ajst-8021	4	16	medical	medical	ADJ
ajst-8021	4	17	image	image	NOUN
ajst-8021	4	18	segmentation	segmentation	NOUN
ajst-8021	4	19	based	base	VERB
ajst-8021	4	20	on	on	ADP
ajst-8021	4	21	deep	deep	ADJ
ajst-8021	4	22	learning	learning	NOUN
ajst-8021	4	23	is	be	AUX
ajst-8021	4	24	to	to	PART
ajst-8021	4	25	quickly	quickly	ADV
ajst-8021	4	26	obtain	obtain	VERB
ajst-8021	4	27	good	good	ADJ
ajst-8021	4	28	results	result	NOUN
ajst-8021	4	29	through	through	ADP
ajst-8021	4	30	lowcost	lowcost	PROPN
ajst-8021	4	31	auxiliary	auxiliary	ADJ
ajst-8021	4	32	modules	module	NOUN
ajst-8021	4	33	.	.	PUNCT
ajst-8021	5	1	the	the	DET
ajst-8021	5	2	attention	attention	NOUN
ajst-8021	5	3	mechanism	mechanism	NOUN
ajst-8021	5	4	,	,	PUNCT
ajst-8021	5	5	relying	rely	VERB
ajst-8021	5	6	on	on	ADP
ajst-8021	5	7	the	the	DET
ajst-8021	5	8	interacting	interact	VERB
ajst-8021	5	9	features	feature	NOUN
ajst-8021	5	10	of	of	ADP
ajst-8021	5	11	the	the	DET
ajst-8021	5	12	neural	neural	ADJ
ajst-8021	5	13	network	network	NOUN
ajst-8021	5	14	,	,	PUNCT
ajst-8021	5	15	is	be	AUX
ajst-8021	5	16	one	one	NUM
ajst-8021	5	17	of	of	ADP
ajst-8021	5	18	the	the	DET
ajst-8021	5	19	lightweight	lightweight	ADJ
ajst-8021	5	20	schemes	scheme	NOUN
ajst-8021	5	21	to	to	PART
ajst-8021	5	22	focus	focus	VERB
ajst-8021	5	23	on	on	ADP
ajst-8021	5	24	key	key	ADJ
ajst-8021	5	25	features	feature	NOUN
ajst-8021	5	26	,	,	PUNCT
ajst-8021	5	27	which	which	PRON
ajst-8021	5	28	is	be	AUX
ajst-8021	5	29	inspired	inspire	VERB
ajst-8021	5	30	by	by	ADP
ajst-8021	5	31	the	the	DET
ajst-8021	5	32	characteristics	characteristic	NOUN
ajst-8021	5	33	of	of	ADP
ajst-8021	5	34	selective	selective	ADJ
ajst-8021	5	35	filtering	filter	VERB
ajst-8021	5	36	information	information	NOUN
ajst-8021	5	37	in	in	ADP
ajst-8021	5	38	human	human	ADJ
ajst-8021	5	39	vision	vision	NOUN
ajst-8021	5	40	.	.	PUNCT
ajst-8021	6	1	through	through	ADP
ajst-8021	6	2	the	the	DET
ajst-8021	6	3	investigation	investigation	NOUN
ajst-8021	6	4	and	and	CCONJ
ajst-8021	6	5	analysis	analysis	NOUN
ajst-8021	6	6	,	,	PUNCT
ajst-8021	6	7	this	this	DET
ajst-8021	6	8	paper	paper	NOUN
ajst-8021	6	9	argues	argue	VERB
ajst-8021	6	10	that	that	SCONJ
ajst-8021	6	11	the	the	DET
ajst-8021	6	12	common	common	ADJ
ajst-8021	6	13	attentional	attentional	ADJ
ajst-8021	6	14	mechanisms	mechanism	NOUN
ajst-8021	6	15	can	can	AUX
ajst-8021	6	16	be	be	AUX
ajst-8021	6	17	mainly	mainly	ADV
ajst-8021	6	18	classified	classify	VERB
ajst-8021	6	19	into	into	ADP
ajst-8021	6	20	four	four	NUM
ajst-8021	6	21	types	type	NOUN
ajst-8021	6	22	according	accord	VERB
ajst-8021	6	23	to	to	ADP
ajst-8021	6	24	their	their	PRON
ajst-8021	6	25	structure	structure	NOUN
ajst-8021	6	26	and	and	CCONJ
ajst-8021	6	27	form	form	NOUN
ajst-8021	6	28	:	:	PUNCT
ajst-8021	6	29	(	(	PUNCT
ajst-8021	6	30	i	i	NOUN
ajst-8021	6	31	)	)	PUNCT
ajst-8021	6	32	conventional	conventional	ADJ
ajst-8021	6	33	attention	attention	NOUN
ajst-8021	6	34	based	base	VERB
ajst-8021	6	35	on	on	ADP
ajst-8021	6	36	feature	feature	NOUN
ajst-8021	6	37	interaction	interaction	NOUN
ajst-8021	6	38	,	,	PUNCT
ajst-8021	6	39	(	(	PUNCT
ajst-8021	6	40	ii	ii	NOUN
ajst-8021	6	41	)	)	PUNCT
ajst-8021	6	42	multiscale	multiscale	PROPN
ajst-8021	6	43	/	/	SYM
ajst-8021	6	44	multi	multi	ADJ
ajst-8021	6	45	-	-	ADJ
ajst-8021	6	46	branch	branch	NOUN
ajst-8021	6	47	-	-	PUNCT
ajst-8021	6	48	based	base	VERB
ajst-8021	6	49	attention	attention	NOUN
ajst-8021	6	50	,	,	PUNCT
ajst-8021	6	51	(	(	PUNCT
ajst-8021	6	52	iii	iii	NOUN
ajst-8021	6	53	)	)	PUNCT
ajst-8021	6	54	self	self	NOUN
ajst-8021	6	55	-	-	PUNCT
ajst-8021	6	56	similarity	similarity	NOUN
ajst-8021	6	57	attention	attention	NOUN
ajst-8021	6	58	based	base	VERB
ajst-8021	6	59	on	on	ADP
ajst-8021	6	60	key	key	ADJ
ajst-8021	6	61	-	-	PUNCT
ajst-8021	6	62	value	value	NOUN
ajst-8021	6	63	pair	pair	NOUN
ajst-8021	6	64	queries	query	NOUN
ajst-8021	6	65	,	,	PUNCT
ajst-8021	6	66	(	(	PUNCT
ajst-8021	6	67	iv	iv	X
ajst-8021	6	68	)	)	PUNCT
ajst-8021	6	69	hard	hard	ADJ
ajst-8021	6	70	attention	attention	NOUN
ajst-8021	6	71	,	,	PUNCT
ajst-8021	6	72	etc	etc	X
ajst-8021	6	73	.	.	X
ajst-8021	6	74	medical	medical	ADJ
ajst-8021	6	75	images	image	NOUN
ajst-8021	6	76	contain	contain	VERB
ajst-8021	6	77	poor	poor	ADJ
ajst-8021	6	78	and	and	CCONJ
ajst-8021	6	79	blur	blur	ADJ
ajst-8021	6	80	descriptions	description	NOUN
ajst-8021	6	81	of	of	ADP
ajst-8021	6	82	contextual	contextual	ADJ
ajst-8021	6	83	information	information	NOUN
ajst-8021	6	84	than	than	ADP
ajst-8021	6	85	natural	natural	ADJ
ajst-8021	6	86	images	image	NOUN
ajst-8021	6	87	.	.	PUNCT
ajst-8021	7	1	they	they	PRON
ajst-8021	7	2	are	be	AUX
ajst-8021	7	3	usually	usually	ADV
ajst-8021	7	4	re	re	ADJ
ajst-8021	7	5	-	-	NOUN
ajst-8021	7	6	imaging	imaging	ADJ
ajst-8021	7	7	by	by	ADP
ajst-8021	7	8	the	the	DET
ajst-8021	7	9	feedback	feedback	NOUN
ajst-8021	7	10	intensity	intensity	NOUN
ajst-8021	7	11	of	of	ADP
ajst-8021	7	12	the	the	DET
ajst-8021	7	13	medium	medium	ADJ
ajst-8021	7	14	signal	signal	NOUN
ajst-8021	7	15	since	since	SCONJ
ajst-8021	7	16	most	most	ADJ
ajst-8021	7	17	of	of	ADP
ajst-8021	7	18	them	they	PRON
ajst-8021	7	19	have	have	VERB
ajst-8021	7	20	low	low	ADJ
ajst-8021	7	21	contrast	contrast	NOUN
ajst-8021	7	22	and	and	CCONJ
ajst-8021	7	23	uneven	uneven	ADJ
ajst-8021	7	24	appearance	appearance	NOUN
ajst-8021	7	25	,	,	PUNCT
ajst-8021	7	26	as	as	ADV
ajst-8021	7	27	well	well	ADV
ajst-8021	7	28	as	as	ADP
ajst-8021	7	29	contain	contain	VERB
ajst-8021	7	30	noise	noise	NOUN
ajst-8021	7	31	and	and	CCONJ
ajst-8021	7	32	artifacts	artifact	NOUN
ajst-8021	7	33	.	.	PUNCT
ajst-8021	8	1	in	in	ADP
ajst-8021	8	2	models	model	NOUN
ajst-8021	8	3	based	base	VERB
ajst-8021	8	4	on	on	ADP
ajst-8021	8	5	deep	deep	ADJ
ajst-8021	8	6	learning	learning	NOUN
ajst-8021	8	7	,	,	PUNCT
ajst-8021	8	8	without	without	ADP
ajst-8021	8	9	the	the	DET
ajst-8021	8	10	ability	ability	NOUN
ajst-8021	8	11	to	to	PART
ajst-8021	8	12	focus	focus	VERB
ajst-8021	8	13	on	on	ADP
ajst-8021	8	14	key	key	ADJ
ajst-8021	8	15	descriptive	descriptive	ADJ
ajst-8021	8	16	information	information	NOUN
ajst-8021	8	17	or	or	CCONJ
ajst-8021	8	18	features	feature	NOUN
ajst-8021	8	19	,	,	PUNCT
ajst-8021	8	20	it	it	PRON
ajst-8021	8	21	is	be	AUX
ajst-8021	8	22	difficult	difficult	ADJ
ajst-8021	8	23	for	for	SCONJ
ajst-8021	8	24	well	well	ADV
ajst-8021	8	25	-	-	PUNCT
ajst-8021	8	26	designed	design	VERB
ajst-8021	8	27	models	model	NOUN
ajst-8021	8	28	to	to	PART
ajst-8021	8	29	perform	perform	VERB
ajst-8021	8	30	theoretically	theoretically	ADV
ajst-8021	8	31	.	.	PUNCT
ajst-8021	9	1	this	this	DET
ajst-8021	9	2	paper	paper	NOUN
ajst-8021	9	3	shows	show	VERB
ajst-8021	9	4	that	that	SCONJ
ajst-8021	9	5	attention	attention	NOUN
ajst-8021	9	6	mechanisms	mechanism	NOUN
ajst-8021	9	7	can	can	AUX
ajst-8021	9	8	guide	guide	VERB
ajst-8021	9	9	downstream	downstream	ADJ
ajst-8021	9	10	medical	medical	ADJ
ajst-8021	9	11	image	image	NOUN
ajst-8021	9	12	analysis	analysis	NOUN
ajst-8021	9	13	tasks	task	NOUN
ajst-8021	9	14	to	to	PART
ajst-8021	9	15	master	master	VERB
ajst-8021	9	16	discernible	discernible	ADJ
ajst-8021	9	17	expected	expect	VERB
ajst-8021	9	18	features	feature	NOUN
ajst-8021	9	19	while	while	SCONJ
ajst-8021	9	20	filtering	filter	VERB
ajst-8021	9	21	and	and	CCONJ
ajst-8021	9	22	suppressing	suppress	VERB
ajst-8021	9	23	irrelevant	irrelevant	ADJ
ajst-8021	9	24	information	information	NOUN
ajst-8021	9	25	to	to	PART
ajst-8021	9	26	enhance	enhance	VERB
ajst-8021	9	27	the	the	DET
ajst-8021	9	28	intensity	intensity	NOUN
ajst-8021	9	29	of	of	ADP
ajst-8021	9	30	target	target	NOUN
ajst-8021	9	31	features	feature	NOUN
ajst-8021	9	32	.	.	PUNCT
ajst-8021	10	1	therefore	therefore	ADV
ajst-8021	10	2	,	,	PUNCT
ajst-8021	10	3	the	the	DET
ajst-8021	10	4	network	network	NOUN
ajst-8021	10	5	performance	performance	NOUN
ajst-8021	10	6	can	can	AUX
ajst-8021	10	7	be	be	AUX
ajst-8021	10	8	improved	improve	VERB
ajst-8021	10	9	through	through	ADP
ajst-8021	10	10	continuous	continuous	ADJ
ajst-8021	10	11	highly	highly	ADV
ajst-8021	10	12	accurate	accurate	ADJ
ajst-8021	10	13	feature	feature	NOUN
ajst-8021	10	14	spatial	spatial	ADJ
ajst-8021	10	15	evolution	evolution	NOUN
ajst-8021	10	16	.	.	PUNCT
ajst-8021	11	1	keywords	keyword	NOUN
ajst-8021	11	2	:	:	PUNCT
ajst-8021	11	3	attentional	attentional	ADJ
ajst-8021	11	4	mechanisms	mechanism	NOUN
ajst-8021	11	5	,	,	PUNCT
ajst-8021	11	6	image	image	NOUN
ajst-8021	11	7	segmentation	segmentation	NOUN
ajst-8021	11	8	,	,	PUNCT
ajst-8021	11	9	medical	medical	ADJ
ajst-8021	11	10	image	image	NOUN
ajst-8021	11	11	analysis	analysis	NOUN
ajst-8021	11	12	.	.	PUNCT
ajst-8021	12	1	1	1	X
ajst-8021	12	2	.	.	X
ajst-8021	12	3	introduction	introduction	NOUN
ajst-8021	12	4	in	in	ADP
ajst-8021	12	5	2012	2012	NUM
ajst-8021	12	6	,	,	PUNCT
ajst-8021	12	7	alex	alex	PROPN
ajst-8021	12	8	-	-	PUNCT
ajst-8021	12	9	net	net	NOUN
ajst-8021	12	10	[	[	X
ajst-8021	12	11	1	1	NUM
ajst-8021	12	12	]	]	PUNCT
ajst-8021	12	13	reduced	reduce	VERB
ajst-8021	12	14	the	the	DET
ajst-8021	12	15	top-5	top-5	PUNCT
ajst-8021	12	16	error	error	NOUN
ajst-8021	12	17	rate	rate	NOUN
ajst-8021	12	18	of	of	ADP
ajst-8021	12	19	accuracy	accuracy	NOUN
ajst-8021	12	20	to	to	ADP
ajst-8021	12	21	15.3	15.3	NUM
ajst-8021	12	22	%	%	NOUN
ajst-8021	12	23	in	in	ADP
ajst-8021	12	24	thousands	thousand	NOUN
ajst-8021	12	25	of	of	ADP
ajst-8021	12	26	category	category	NOUN
ajst-8021	12	27	classifications	classification	NOUN
ajst-8021	12	28	in	in	ADP
ajst-8021	12	29	the	the	DET
ajst-8021	12	30	imagenet	imagenet	NOUN
ajst-8021	12	31	large	large	ADJ
ajst-8021	12	32	scale	scale	NOUN
ajst-8021	12	33	visual	visual	ADJ
ajst-8021	12	34	recognition	recognition	NOUN
ajst-8021	12	35	challenge	challenge	NOUN
ajst-8021	12	36	(	(	PUNCT
ajst-8021	12	37	lsvrc	lsvrc	NOUN
ajst-8021	12	38	)	)	PUNCT
ajst-8021	12	39	.	.	PUNCT
ajst-8021	13	1	after	after	ADP
ajst-8021	13	2	this	this	PRON
ajst-8021	13	3	,	,	PUNCT
ajst-8021	13	4	the	the	DET
ajst-8021	13	5	research	research	NOUN
ajst-8021	13	6	[	[	X
ajst-8021	13	7	2	2	NUM
ajst-8021	13	8	-	-	SYM
ajst-8021	13	9	6	6	NUM
ajst-8021	13	10	]	]	PUNCT
ajst-8021	13	11	on	on	ADP
ajst-8021	13	12	deep	deep	ADJ
ajst-8021	13	13	learning	learning	NOUN
ajst-8021	13	14	techniques	technique	NOUN
ajst-8021	13	15	witnessed	witness	VERB
ajst-8021	13	16	a	a	DET
ajst-8021	13	17	development	development	NOUN
ajst-8021	13	18	boom	boom	NOUN
ajst-8021	13	19	and	and	CCONJ
ajst-8021	13	20	a	a	DET
ajst-8021	13	21	spurt	spurt	NOUN
ajst-8021	13	22	of	of	ADP
ajst-8021	13	23	growth	growth	NOUN
ajst-8021	13	24	in	in	ADP
ajst-8021	13	25	the	the	DET
ajst-8021	13	26	following	following	ADJ
ajst-8021	13	27	years	year	NOUN
ajst-8021	13	28	.	.	PUNCT
ajst-8021	14	1	the	the	DET
ajst-8021	14	2	field	field	NOUN
ajst-8021	14	3	of	of	ADP
ajst-8021	14	4	medical	medical	ADJ
ajst-8021	14	5	image	image	NOUN
ajst-8021	14	6	segmentation	segmentation	NOUN
ajst-8021	14	7	has	have	AUX
ajst-8021	14	8	also	also	ADV
ajst-8021	14	9	gradually	gradually	ADV
ajst-8021	14	10	made	make	VERB
ajst-8021	14	11	a	a	DET
ajst-8021	14	12	qualitative	qualitative	ADJ
ajst-8021	14	13	breakthrough	breakthrough	NOUN
ajst-8021	14	14	in	in	ADP
ajst-8021	14	15	this	this	DET
ajst-8021	14	16	wave	wave	NOUN
ajst-8021	14	17	as	as	ADP
ajst-8021	14	18	a	a	DET
ajst-8021	14	19	research	research	NOUN
ajst-8021	14	20	boom	boom	NOUN
ajst-8021	14	21	,	,	PUNCT
ajst-8021	14	22	i.e.	i.e.	X
ajst-8021	14	23	,	,	PUNCT
ajst-8021	14	24	medical	medical	ADJ
ajst-8021	14	25	image	image	NOUN
ajst-8021	14	26	segmentation[7	segmentation[7	NOUN
ajst-8021	14	27	-	-	PUNCT
ajst-8021	14	28	9	9	NUM
ajst-8021	14	29	]	]	PUNCT
ajst-8021	14	30	,	,	PUNCT
ajst-8021	14	31	which	which	PRON
ajst-8021	14	32	aims	aim	VERB
ajst-8021	14	33	to	to	PART
ajst-8021	14	34	automatically	automatically	ADV
ajst-8021	14	35	extract	extract	VERB
ajst-8021	14	36	highly	highly	ADV
ajst-8021	14	37	expressive	expressive	ADJ
ajst-8021	14	38	features	feature	NOUN
ajst-8021	14	39	related	relate	VERB
ajst-8021	14	40	to	to	ADP
ajst-8021	14	41	locked	lock	VERB
ajst-8021	14	42	lesions	lesion	NOUN
ajst-8021	14	43	and	and	CCONJ
ajst-8021	14	44	extract	extract	VERB
ajst-8021	14	45	lesions	lesion	NOUN
ajst-8021	14	46	based	base	VERB
ajst-8021	14	47	on	on	ADP
ajst-8021	14	48	the	the	DET
ajst-8021	14	49	features	feature	NOUN
ajst-8021	14	50	,	,	PUNCT
ajst-8021	14	51	has	have	AUX
ajst-8021	14	52	reached	reach	VERB
ajst-8021	14	53	near	near	ADJ
ajst-8021	14	54	-	-	PUNCT
ajst-8021	14	55	expert	expert	NOUN
ajst-8021	14	56	levels	level	NOUN
ajst-8021	14	57	.	.	PUNCT
ajst-8021	15	1	promoting	promote	VERB
ajst-8021	15	2	automatic	automatic	ADJ
ajst-8021	15	3	medical	medical	ADJ
ajst-8021	15	4	image	image	NOUN
ajst-8021	15	5	analysis	analysis	NOUN
ajst-8021	15	6	helps	help	VERB
ajst-8021	15	7	in	in	ADP
ajst-8021	15	8	treatment	treatment	NOUN
ajst-8021	15	9	,	,	PUNCT
ajst-8021	15	10	prognosis	prognosis	NOUN
ajst-8021	15	11	,	,	PUNCT
ajst-8021	15	12	and	and	CCONJ
ajst-8021	15	13	medical	medical	ADJ
ajst-8021	15	14	research	research	NOUN
ajst-8021	15	15	.	.	PUNCT
ajst-8021	16	1	however	however	ADV
ajst-8021	16	2	,	,	PUNCT
ajst-8021	16	3	at	at	ADP
ajst-8021	16	4	present	present	ADJ
ajst-8021	16	5	,	,	PUNCT
ajst-8021	16	6	deep	deep	ADJ
ajst-8021	16	7	learning	learning	NOUN
ajst-8021	16	8	-	-	PUNCT
ajst-8021	16	9	based	base	VERB
ajst-8021	16	10	solutions	solution	NOUN
ajst-8021	16	11	still	still	ADV
ajst-8021	16	12	have	have	VERB
ajst-8021	16	13	a	a	DET
ajst-8021	16	14	series	series	NOUN
ajst-8021	16	15	of	of	ADP
ajst-8021	16	16	technical	technical	ADJ
ajst-8021	16	17	difficulties	difficulty	NOUN
ajst-8021	16	18	:	:	PUNCT
ajst-8021	16	19	(	(	PUNCT
ajst-8021	16	20	i	i	NOUN
ajst-8021	16	21	)	)	PUNCT
ajst-8021	16	22	medical	medical	ADJ
ajst-8021	16	23	images	image	NOUN
ajst-8021	16	24	contain	contain	VERB
ajst-8021	16	25	less	less	ADJ
ajst-8021	16	26	information	information	NOUN
ajst-8021	16	27	than	than	ADP
ajst-8021	16	28	natural	natural	ADJ
ajst-8021	16	29	images	image	NOUN
ajst-8021	16	30	,	,	PUNCT
ajst-8021	16	31	have	have	VERB
ajst-8021	16	32	lower	low	ADJ
ajst-8021	16	33	contrast	contrast	NOUN
ajst-8021	16	34	and	and	CCONJ
ajst-8021	16	35	poorer	poor	ADJ
ajst-8021	16	36	clarity	clarity	NOUN
ajst-8021	16	37	,	,	PUNCT
ajst-8021	16	38	as	as	ADV
ajst-8021	16	39	well	well	ADV
ajst-8021	16	40	as	as	ADP
ajst-8021	16	41	include	include	VERB
ajst-8021	16	42	noise	noise	NOUN
ajst-8021	16	43	and	and	CCONJ
ajst-8021	16	44	artifacts	artifact	NOUN
ajst-8021	16	45	that	that	PRON
ajst-8021	16	46	provide	provide	VERB
ajst-8021	16	47	limited	limited	ADJ
ajst-8021	16	48	tissue	tissue	NOUN
ajst-8021	16	49	descriptions	description	NOUN
ajst-8021	16	50	;	;	PUNCT
ajst-8021	16	51	(	(	PUNCT
ajst-8021	16	52	ii	ii	NOUN
ajst-8021	16	53	)	)	PUNCT
ajst-8021	16	54	the	the	DET
ajst-8021	16	55	structure	structure	NOUN
ajst-8021	16	56	of	of	ADP
ajst-8021	16	57	biological	biological	ADJ
ajst-8021	16	58	tissues	tissue	NOUN
ajst-8021	16	59	is	be	AUX
ajst-8021	16	60	complex	complex	ADJ
ajst-8021	16	61	and	and	CCONJ
ajst-8021	16	62	varied	varied	ADJ
ajst-8021	16	63	,	,	PUNCT
ajst-8021	16	64	and	and	CCONJ
ajst-8021	16	65	the	the	DET
ajst-8021	16	66	segmentation	segmentation	NOUN
ajst-8021	16	67	process	process	NOUN
ajst-8021	16	68	needs	need	VERB
ajst-8021	16	69	to	to	PART
ajst-8021	16	70	consider	consider	VERB
ajst-8021	16	71	the	the	DET
ajst-8021	16	72	mutual	mutual	ADJ
ajst-8021	16	73	interference	interference	NOUN
ajst-8021	16	74	and	and	CCONJ
ajst-8021	16	75	interconnection	interconnection	NOUN
ajst-8021	16	76	of	of	ADP
ajst-8021	16	77	different	different	ADJ
ajst-8021	16	78	tissues	tissue	NOUN
ajst-8021	16	79	;	;	PUNCT
ajst-8021	16	80	(	(	PUNCT
ajst-8021	16	81	iii	iii	X
ajst-8021	16	82	)	)	PUNCT
ajst-8021	16	83	the	the	DET
ajst-8021	16	84	same	same	ADJ
ajst-8021	16	85	class	class	NOUN
ajst-8021	16	86	of	of	ADP
ajst-8021	16	87	targets	target	NOUN
ajst-8021	16	88	in	in	ADP
ajst-8021	16	89	natural	natural	ADJ
ajst-8021	16	90	images	image	NOUN
ajst-8021	16	91	generally	generally	ADV
ajst-8021	16	92	have	have	VERB
ajst-8021	16	93	the	the	DET
ajst-8021	16	94	same	same	ADJ
ajst-8021	16	95	aspect	aspect	NOUN
ajst-8021	16	96	ratio	ratio	NOUN
ajst-8021	16	97	and	and	CCONJ
ajst-8021	16	98	similar	similar	ADJ
ajst-8021	16	99	morphology	morphology	NOUN
ajst-8021	16	100	,	,	PUNCT
ajst-8021	16	101	while	while	SCONJ
ajst-8021	16	102	medical	medical	ADJ
ajst-8021	16	103	lesions	lesion	NOUN
ajst-8021	16	104	usually	usually	ADV
ajst-8021	16	105	have	have	VERB
ajst-8021	16	106	unconventional	unconventional	ADJ
ajst-8021	16	107	morphology	morphology	NOUN
ajst-8021	16	108	and	and	CCONJ
ajst-8021	16	109	uncertain	uncertain	ADJ
ajst-8021	16	110	location	location	NOUN
ajst-8021	16	111	relationship	relationship	NOUN
ajst-8021	16	112	,	,	PUNCT
ajst-8021	16	113	which	which	PRON
ajst-8021	16	114	makes	make	VERB
ajst-8021	16	115	segmentation	segmentation	NOUN
ajst-8021	16	116	more	more	ADV
ajst-8021	16	117	difficult	difficult	ADJ
ajst-8021	16	118	;	;	PUNCT
ajst-8021	16	119	(	(	PUNCT
ajst-8021	16	120	iv	iv	X
ajst-8021	16	121	)	)	PUNCT
ajst-8021	16	122	constrained	constrain	VERB
ajst-8021	16	123	by	by	ADP
ajst-8021	16	124	the	the	DET
ajst-8021	16	125	imaging	imaging	NOUN
ajst-8021	16	126	environment	environment	NOUN
ajst-8021	16	127	,	,	PUNCT
ajst-8021	16	128	operational	operational	ADJ
ajst-8021	16	129	norms	norm	NOUN
ajst-8021	16	130	,	,	PUNCT
ajst-8021	16	131	social	social	ADJ
ajst-8021	16	132	ethics	ethic	NOUN
ajst-8021	16	133	,	,	PUNCT
ajst-8021	16	134	and	and	CCONJ
ajst-8021	16	135	medical	medical	ADJ
ajst-8021	16	136	equipment	equipment	NOUN
ajst-8021	16	137	and	and	CCONJ
ajst-8021	16	138	imaging	imaging	NOUN
ajst-8021	16	139	standards	standard	NOUN
ajst-8021	16	140	,	,	PUNCT
ajst-8021	16	141	the	the	DET
ajst-8021	16	142	number	number	NOUN
ajst-8021	16	143	of	of	ADP
ajst-8021	16	144	accessible	accessible	ADJ
ajst-8021	16	145	medical	medical	ADJ
ajst-8021	16	146	images	image	NOUN
ajst-8021	16	147	is	be	AUX
ajst-8021	16	148	low	low	ADJ
ajst-8021	16	149	,	,	PUNCT
ajst-8021	16	150	their	their	PRON
ajst-8021	16	151	quality	quality	NOUN
ajst-8021	16	152	is	be	AUX
ajst-8021	16	153	poor	poor	ADJ
ajst-8021	16	154	,	,	PUNCT
ajst-8021	16	155	and	and	CCONJ
ajst-8021	16	156	the	the	DET
ajst-8021	16	157	images	image	NOUN
ajst-8021	16	158	collected	collect	VERB
ajst-8021	16	159	in	in	ADP
ajst-8021	16	160	different	different	ADJ
ajst-8021	16	161	databases	database	NOUN
ajst-8021	16	162	vary	vary	VERB
ajst-8021	16	163	widely	widely	ADV
ajst-8021	16	164	;	;	PUNCT
ajst-8021	16	165	(	(	PUNCT
ajst-8021	16	166	v	v	NOUN
ajst-8021	16	167	)	)	PUNCT
ajst-8021	16	168	obtaining	obtain	VERB
ajst-8021	16	169	a	a	DET
ajst-8021	16	170	more	more	ADV
ajst-8021	16	171	reliable	reliable	ADJ
ajst-8021	16	172	segmentation	segmentation	NOUN
ajst-8021	16	173	performance	performance	NOUN
ajst-8021	16	174	on	on	ADP
ajst-8021	16	175	a	a	DET
ajst-8021	16	176	limited	limited	ADJ
ajst-8021	16	177	and	and	CCONJ
ajst-8021	16	178	low	low	ADJ
ajst-8021	16	179	-	-	PUNCT
ajst-8021	16	180	quality	quality	NOUN
ajst-8021	16	181	database	database	NOUN
ajst-8021	16	182	requires	require	VERB
ajst-8021	16	183	a	a	DET
ajst-8021	16	184	carefully	carefully	ADV
ajst-8021	16	185	designed	design	VERB
ajst-8021	16	186	better	well	ADJ
ajst-8021	16	187	model	model	NOUN
ajst-8021	16	188	structure	structure	NOUN
ajst-8021	16	189	.	.	PUNCT
ajst-8021	17	1	the	the	DET
ajst-8021	17	2	above	above	ADJ
ajst-8021	17	3	factors	factor	NOUN
ajst-8021	17	4	result	result	VERB
ajst-8021	17	5	in	in	ADP
ajst-8021	17	6	deep	deep	ADJ
ajst-8021	17	7	learning	learning	NOUN
ajst-8021	17	8	models	model	NOUN
ajst-8021	17	9	that	that	PRON
ajst-8021	17	10	perform	perform	VERB
ajst-8021	17	11	well	well	ADV
ajst-8021	17	12	in	in	ADP
ajst-8021	17	13	the	the	DET
ajst-8021	17	14	natural	natural	ADJ
ajst-8021	17	15	image	image	NOUN
ajst-8021	17	16	domain	domain	NOUN
ajst-8021	17	17	,	,	PUNCT
ajst-8021	17	18	but	but	CCONJ
ajst-8021	17	19	not	not	PART
ajst-8021	17	20	as	as	ADV
ajst-8021	17	21	well	well	ADV
ajst-8021	17	22	in	in	ADP
ajst-8021	17	23	medical	medical	ADJ
ajst-8021	17	24	imaging	imaging	NOUN
ajst-8021	17	25	tasks	task	NOUN
ajst-8021	17	26	,	,	PUNCT
ajst-8021	17	27	especially	especially	ADV
ajst-8021	17	28	in	in	ADP
ajst-8021	17	29	areas	area	NOUN
ajst-8021	17	30	such	such	ADJ
ajst-8021	17	31	as	as	ADP
ajst-8021	17	32	segmentation	segmentation	NOUN
ajst-8021	17	33	and	and	CCONJ
ajst-8021	17	34	generation	generation	NOUN
ajst-8021	17	35	of	of	ADP
ajst-8021	17	36	pixel	pixel	ADJ
ajst-8021	17	37	-	-	PUNCT
ajst-8021	17	38	level	level	NOUN
ajst-8021	17	39	prediction	prediction	NOUN
ajst-8021	17	40	requirements	requirement	NOUN
ajst-8021	17	41	,	,	PUNCT
ajst-8021	17	42	which	which	PRON
ajst-8021	17	43	pose	pose	VERB
ajst-8021	17	44	challenges	challenge	NOUN
ajst-8021	17	45	for	for	ADP
ajst-8021	17	46	future	future	ADJ
ajst-8021	17	47	medical	medical	ADJ
ajst-8021	17	48	-	-	PUNCT
ajst-8021	17	49	aided	aid	VERB
ajst-8021	17	50	diagnosis	diagnosis	NOUN
ajst-8021	17	51	deployments	deployment	NOUN
ajst-8021	17	52	and	and	CCONJ
ajst-8021	17	53	applications[7	applications[7	ADP
ajst-8021	17	54	,	,	PUNCT
ajst-8021	17	55	8	8	NUM
ajst-8021	17	56	,	,	PUNCT
ajst-8021	17	57	10	10	NUM
ajst-8021	17	58	,	,	PUNCT
ajst-8021	17	59	11	11	NUM
ajst-8021	17	60	]	]	PUNCT
ajst-8021	17	61	.	.	PUNCT
ajst-8021	18	1	recent	recent	ADJ
ajst-8021	18	2	studies	study	NOUN
ajst-8021	18	3	[	[	X
ajst-8021	18	4	12	12	NUM
ajst-8021	18	5	,	,	PUNCT
ajst-8021	18	6	13	13	NUM
ajst-8021	18	7	]	]	PUNCT
ajst-8021	18	8	have	have	AUX
ajst-8021	18	9	shown	show	VERB
ajst-8021	18	10	that	that	SCONJ
ajst-8021	18	11	attention	attention	NOUN
ajst-8021	18	12	mechanisms	mechanism	NOUN
ajst-8021	18	13	are	be	AUX
ajst-8021	18	14	blossoming	blossom	VERB
ajst-8021	18	15	in	in	ADP
ajst-8021	18	16	both	both	PRON
ajst-8021	18	17	vision	vision	NOUN
ajst-8021	18	18	and	and	CCONJ
ajst-8021	18	19	language	language	NOUN
ajst-8021	18	20	processing	processing	NOUN
ajst-8021	18	21	domains	domain	NOUN
ajst-8021	18	22	,	,	PUNCT
ajst-8021	18	23	constantly	constantly	ADV
ajst-8021	18	24	breaking	break	VERB
ajst-8021	18	25	through	through	ADP
ajst-8021	18	26	bottlenecks	bottleneck	NOUN
ajst-8021	18	27	in	in	ADP
ajst-8021	18	28	model	model	NOUN
ajst-8021	18	29	performance	performance	NOUN
ajst-8021	18	30	.	.	PUNCT
ajst-8021	19	1	the	the	DET
ajst-8021	19	2	more	more	ADV
ajst-8021	19	3	intuitive	intuitive	ADJ
ajst-8021	19	4	and	and	CCONJ
ajst-8021	19	5	complex	complex	ADJ
ajst-8021	19	6	attention	attention	NOUN
ajst-8021	19	7	mechanisms	mechanism	NOUN
ajst-8021	19	8	are	be	AUX
ajst-8021	19	9	beginning	begin	VERB
ajst-8021	19	10	to	to	PART
ajst-8021	19	11	show	show	VERB
ajst-8021	19	12	explosive	explosive	ADJ
ajst-8021	19	13	growth	growth	NOUN
ajst-8021	19	14	,	,	PUNCT
ajst-8021	19	15	which	which	PRON
ajst-8021	19	16	suggests	suggest	VERB
ajst-8021	19	17	that	that	SCONJ
ajst-8021	19	18	the	the	DET
ajst-8021	19	19	mechanism	mechanism	NOUN
ajst-8021	19	20	has	have	VERB
ajst-8021	19	21	a	a	DET
ajst-8021	19	22	positive	positive	ADJ
ajst-8021	19	23	guiding	guide	VERB
ajst-8021	19	24	role	role	NOUN
ajst-8021	19	25	for	for	ADP
ajst-8021	19	26	semantic	semantic	ADJ
ajst-8021	19	27	understanding	understanding	NOUN
ajst-8021	19	28	in	in	ADP
ajst-8021	19	29	machine	machine	NOUN
ajst-8021	19	30	vision	vision	NOUN
ajst-8021	19	31	and	and	CCONJ
ajst-8021	19	32	other	other	ADJ
ajst-8021	19	33	domains	domain	NOUN
ajst-8021	19	34	.	.	PUNCT
ajst-8021	20	1	it	it	PRON
ajst-8021	20	2	is	be	AUX
ajst-8021	20	3	more	more	ADV
ajst-8021	20	4	common	common	ADJ
ajst-8021	20	5	to	to	PART
ajst-8021	20	6	pay	pay	VERB
ajst-8021	20	7	attention	attention	NOUN
ajst-8021	20	8	to	to	ADP
ajst-8021	20	9	important	important	ADJ
ajst-8021	20	10	information	information	NOUN
ajst-8021	20	11	in	in	ADP
ajst-8021	20	12	the	the	DET
ajst-8021	20	13	channel	channel	NOUN
ajst-8021	20	14	dimension	dimension	NOUN
ajst-8021	20	15	and	and	CCONJ
ajst-8021	20	16	the	the	DET
ajst-8021	20	17	space	space	NOUN
ajst-8021	20	18	dimension	dimension	NOUN
ajst-8021	20	19	of	of	ADP
ajst-8021	20	20	the	the	DET
ajst-8021	20	21	feature	feature	NOUN
ajst-8021	20	22	dimension	dimension	NOUN
ajst-8021	20	23	,	,	PUNCT
ajst-8021	20	24	i.e.	i.e.	X
ajst-8021	20	25	,	,	PUNCT
ajst-8021	20	26	se	se	X
ajst-8021	20	27	layer	layer	NOUN
ajst-8021	21	1	[	[	X
ajst-8021	21	2	3	3	X
ajst-8021	21	3	]	]	PUNCT
ajst-8021	21	4	and	and	CCONJ
ajst-8021	21	5	ge	ge	PROPN
ajst-8021	21	6	net	net	NOUN
ajst-8021	22	1	[	[	X
ajst-8021	22	2	14	14	NUM
ajst-8021	22	3	]	]	X
ajst-8021	22	4	,	,	PUNCT
ajst-8021	22	5	when	when	SCONJ
ajst-8021	22	6	the	the	DET
ajst-8021	22	7	self	self	NOUN
ajst-8021	22	8	-	-	PUNCT
ajst-8021	22	9	attention	attention	NOUN
ajst-8021	22	10	mechanism	mechanism	NOUN
ajst-8021	22	11	[	[	X
ajst-8021	22	12	15	15	NUM
ajst-8021	22	13	,	,	PUNCT
ajst-8021	22	14	16	16	NUM
ajst-8021	22	15	]	]	PUNCT
ajst-8021	22	16	in	in	ADP
ajst-8021	22	17	natural	natural	ADJ
ajst-8021	22	18	language	language	NOUN
ajst-8021	22	19	processing	processing	NOUN
ajst-8021	22	20	(	(	PUNCT
ajst-8021	22	21	nlp	nlp	NOUN
ajst-8021	22	22	)	)	PUNCT
ajst-8021	22	23	is	be	AUX
ajst-8021	22	24	transferred	transfer	VERB
ajst-8021	22	25	to	to	PART
ajst-8021	22	26	form	form	VERB
ajst-8021	22	27	modules	module	NOUN
ajst-8021	22	28	led	lead	VERB
ajst-8021	22	29	by	by	ADP
ajst-8021	22	30	nl	nl	PROPN
ajst-8021	22	31	[	[	X
ajst-8021	22	32	17	17	NUM
ajst-8021	22	33	]	]	PUNCT
ajst-8021	22	34	and	and	CCONJ
ajst-8021	22	35	vision	vision	NOUN
ajst-8021	22	36	transformer	transformer	NOUN
ajst-8021	22	37	[	[	X
ajst-8021	22	38	18	18	NUM
ajst-8021	22	39	]	]	PUNCT
ajst-8021	22	40	,	,	PUNCT
ajst-8021	22	41	longrange	longrange	PROPN
ajst-8021	22	42	point	point	NOUN
ajst-8021	22	43	-	-	PUNCT
ajst-8021	22	44	to	to	ADP
ajst-8021	22	45	-	-	PUNCT
ajst-8021	22	46	point	point	NOUN
ajst-8021	22	47	similarity	similarity	NOUN
ajst-8021	22	48	attention	attention	NOUN
ajst-8021	22	49	has	have	AUX
ajst-8021	22	50	been	be	AUX
ajst-8021	22	51	widely	widely	ADV
ajst-8021	22	52	proved	prove	VERB
ajst-8021	22	53	to	to	PART
ajst-8021	22	54	improve	improve	VERB
ajst-8021	22	55	module	module	NOUN
ajst-8021	22	56	performance	performance	NOUN
ajst-8021	22	57	since	since	SCONJ
ajst-8021	22	58	similar	similar	ADJ
ajst-8021	22	59	images	image	NOUN
ajst-8021	22	60	usually	usually	ADV
ajst-8021	22	61	have	have	VERB
ajst-8021	22	62	similar	similar	ADJ
ajst-8021	22	63	representations	representation	NOUN
ajst-8021	22	64	.	.	PUNCT
ajst-8021	23	1	most	most	ADJ
ajst-8021	23	2	scholars	scholar	NOUN
ajst-8021	23	3	[	[	X
ajst-8021	23	4	19	19	NUM
ajst-8021	23	5	,	,	PUNCT
ajst-8021	23	6	20	20	NUM
ajst-8021	23	7	]	]	PUNCT
ajst-8021	23	8	are	be	AUX
ajst-8021	23	9	combining	combine	VERB
ajst-8021	23	10	existing	exist	VERB
ajst-8021	23	11	networks	network	NOUN
ajst-8021	23	12	with	with	ADP
ajst-8021	23	13	an	an	DET
ajst-8021	23	14	attention	attention	NOUN
ajst-8021	23	15	mechanism	mechanism	NOUN
ajst-8021	23	16	to	to	PART
ajst-8021	23	17	refresh	refresh	VERB
ajst-8021	23	18	the	the	DET
ajst-8021	23	19	new	new	ADJ
ajst-8021	23	20	metrics	metric	NOUN
ajst-8021	23	21	of	of	ADP
ajst-8021	23	22	the	the	DET
ajst-8021	23	23	task	task	NOUN
ajst-8021	23	24	by	by	ADP
ajst-8021	23	25	exploiting	exploit	VERB
ajst-8021	23	26	the	the	DET
ajst-8021	23	27	global	global	ADJ
ajst-8021	23	28	focus	focus	NOUN
ajst-8021	23	29	property	property	NOUN
ajst-8021	23	30	of	of	ADP
ajst-8021	23	31	the	the	DET
ajst-8021	23	32	attention	attention	NOUN
ajst-8021	23	33	mechanism	mechanism	NOUN
ajst-8021	23	34	,	,	PUNCT
ajst-8021	23	35	adding	add	VERB
ajst-8021	23	36	attention	attention	NOUN
ajst-8021	23	37	to	to	ADP
ajst-8021	23	38	the	the	DET
ajst-8021	23	39	model	model	NOUN
ajst-8021	23	40	has	have	AUX
ajst-8021	23	41	proved	prove	VERB
ajst-8021	23	42	to	to	PART
ajst-8021	23	43	be	be	AUX
ajst-8021	23	44	an	an	DET
ajst-8021	23	45	excellent	excellent	ADJ
ajst-8021	23	46	mechanism	mechanism	NOUN
ajst-8021	23	47	,	,	PUNCT
ajst-8021	23	48	and	and	CCONJ
ajst-8021	23	49	it	it	PRON
ajst-8021	23	50	has	have	AUX
ajst-8021	23	51	become	become	VERB
ajst-8021	23	52	a	a	DET
ajst-8021	23	53	trend	trend	NOUN
ajst-8021	23	54	to	to	PART
ajst-8021	23	55	combine	combine	VERB
ajst-8021	23	56	medical	medical	ADJ
ajst-8021	23	57	image	image	NOUN
ajst-8021	23	58	semantic	semantic	ADJ
ajst-8021	23	59	segmentation	segmentation	NOUN
ajst-8021	23	60	networks	network	NOUN
ajst-8021	23	61	with	with	ADP
ajst-8021	23	62	an	an	DET
ajst-8021	23	63	attention	attention	NOUN
ajst-8021	23	64	mechanism	mechanism	NOUN
ajst-8021	23	65	.	.	PUNCT
ajst-8021	24	1	at	at	ADP
ajst-8021	24	2	present	present	ADJ
ajst-8021	24	3	,	,	PUNCT
ajst-8021	24	4	there	there	PRON
ajst-8021	24	5	is	be	VERB
ajst-8021	24	6	also	also	ADV
ajst-8021	24	7	a	a	DET
ajst-8021	24	8	lot	lot	NOUN
ajst-8021	24	9	of	of	ADP
ajst-8021	24	10	work	work	NOUN
ajst-8021	24	11	attempting	attempt	VERB
ajst-8021	24	12	to	to	PART
ajst-8021	24	13	execute	execute	VERB
ajst-8021	24	14	task	task	NOUN
ajst-8021	24	15	-	-	PUNCT
ajst-8021	24	16	adaptation	adaptation	NOUN
ajst-8021	24	17	adjustments	adjustment	NOUN
ajst-8021	24	18	based	base	VERB
ajst-8021	24	19	on	on	ADP
ajst-8021	24	20	238	238	NUM
ajst-8021	24	21	the	the	DET
ajst-8021	24	22	improved	improved	ADJ
ajst-8021	24	23	attention	attention	NOUN
ajst-8021	24	24	module	module	NOUN
ajst-8021	24	25	,	,	PUNCT
ajst-8021	24	26	which	which	PRON
ajst-8021	24	27	fully	fully	ADV
ajst-8021	24	28	demonstrates	demonstrate	VERB
ajst-8021	24	29	the	the	DET
ajst-8021	24	30	flexibility	flexibility	NOUN
ajst-8021	24	31	and	and	CCONJ
ajst-8021	24	32	diversity	diversity	NOUN
ajst-8021	24	33	of	of	ADP
ajst-8021	24	34	design	design	NOUN
ajst-8021	24	35	and	and	CCONJ
ajst-8021	24	36	usually	usually	ADV
ajst-8021	24	37	achieves	achieve	VERB
ajst-8021	24	38	stable	stable	ADJ
ajst-8021	24	39	metrics	metric	NOUN
ajst-8021	24	40	and	and	CCONJ
ajst-8021	24	41	higher	high	ADJ
ajst-8021	24	42	results	result	NOUN
ajst-8021	24	43	.	.	PUNCT
ajst-8021	25	1	in	in	ADP
ajst-8021	25	2	summary	summary	NOUN
ajst-8021	25	3	,	,	PUNCT
ajst-8021	25	4	the	the	DET
ajst-8021	25	5	contribution	contribution	NOUN
ajst-8021	25	6	of	of	ADP
ajst-8021	25	7	this	this	DET
ajst-8021	25	8	paper	paper	NOUN
ajst-8021	25	9	has	have	VERB
ajst-8021	25	10	three	three	NUM
ajst-8021	25	11	main	main	ADJ
ajst-8021	25	12	points	point	NOUN
ajst-8021	25	13	:	:	PUNCT
ajst-8021	26	1	1	1	X
ajst-8021	26	2	.	.	PUNCT
ajst-8021	26	3	the	the	DET
ajst-8021	26	4	technical	technical	ADJ
ajst-8021	26	5	challenges	challenge	NOUN
ajst-8021	26	6	in	in	ADP
ajst-8021	26	7	medical	medical	ADJ
ajst-8021	26	8	image	image	NOUN
ajst-8021	26	9	segmentation	segmentation	NOUN
ajst-8021	26	10	are	be	AUX
ajst-8021	26	11	summarized	summarize	VERB
ajst-8021	26	12	,	,	PUNCT
ajst-8021	26	13	and	and	CCONJ
ajst-8021	26	14	essential	essential	ADJ
ajst-8021	26	15	guidelines	guideline	NOUN
ajst-8021	26	16	are	be	AUX
ajst-8021	26	17	provided	provide	VERB
ajst-8021	26	18	for	for	ADP
ajst-8021	26	19	solving	solve	VERB
ajst-8021	26	20	these	these	DET
ajst-8021	26	21	challenges	challenge	NOUN
ajst-8021	26	22	through	through	ADP
ajst-8021	26	23	attention	attention	NOUN
ajst-8021	26	24	mechanisms	mechanism	NOUN
ajst-8021	26	25	.	.	PUNCT
ajst-8021	27	1	2	2	X
ajst-8021	27	2	.	.	X
ajst-8021	27	3	the	the	DET
ajst-8021	27	4	basic	basic	ADJ
ajst-8021	27	5	types	type	NOUN
ajst-8021	27	6	of	of	ADP
ajst-8021	27	7	attention	attention	NOUN
ajst-8021	27	8	in	in	ADP
ajst-8021	27	9	recent	recent	ADJ
ajst-8021	27	10	years	year	NOUN
ajst-8021	27	11	are	be	AUX
ajst-8021	27	12	collated	collate	VERB
ajst-8021	27	13	and	and	CCONJ
ajst-8021	27	14	their	their	PRON
ajst-8021	27	15	respective	respective	ADJ
ajst-8021	27	16	advantages	advantage	NOUN
ajst-8021	27	17	and	and	CCONJ
ajst-8021	27	18	disadvantages	disadvantage	NOUN
ajst-8021	27	19	are	be	AUX
ajst-8021	27	20	presented	present	VERB
ajst-8021	27	21	to	to	PART
ajst-8021	27	22	provide	provide	VERB
ajst-8021	27	23	researchers	researcher	NOUN
ajst-8021	27	24	with	with	ADP
ajst-8021	27	25	references	reference	NOUN
ajst-8021	27	26	for	for	ADP
ajst-8021	27	27	in	in	ADP
ajst-8021	27	28	-	-	PUNCT
ajst-8021	27	29	depth	depth	NOUN
ajst-8021	27	30	research	research	NOUN
ajst-8021	27	31	and	and	CCONJ
ajst-8021	27	32	improvement	improvement	NOUN
ajst-8021	27	33	of	of	ADP
ajst-8021	27	34	attention	attention	NOUN
ajst-8021	27	35	mechanisms	mechanism	NOUN
ajst-8021	27	36	.	.	PUNCT
ajst-8021	28	1	3	3	X
ajst-8021	28	2	.	.	X
ajst-8021	28	3	combining	combine	VERB
ajst-8021	28	4	the	the	DET
ajst-8021	28	5	current	current	ADJ
ajst-8021	28	6	attention	attention	NOUN
ajst-8021	28	7	applications	application	NOUN
ajst-8021	28	8	in	in	ADP
ajst-8021	28	9	medical	medical	ADJ
ajst-8021	28	10	image	image	NOUN
ajst-8021	28	11	segmentation	segmentation	NOUN
ajst-8021	28	12	,	,	PUNCT
ajst-8021	28	13	we	we	PRON
ajst-8021	28	14	summarize	summarize	VERB
ajst-8021	28	15	the	the	DET
ajst-8021	28	16	scenarios	scenario	NOUN
ajst-8021	28	17	of	of	ADP
ajst-8021	28	18	each	each	DET
ajst-8021	28	19	attention	attention	NOUN
ajst-8021	28	20	application	application	NOUN
ajst-8021	28	21	and	and	CCONJ
ajst-8021	28	22	analyze	analyze	VERB
ajst-8021	28	23	the	the	DET
ajst-8021	28	24	significance	significance	NOUN
ajst-8021	28	25	of	of	ADP
ajst-8021	28	26	future	future	ADJ
ajst-8021	28	27	research	research	NOUN
ajst-8021	28	28	in	in	ADP
ajst-8021	28	29	this	this	DET
ajst-8021	28	30	field	field	NOUN
ajst-8021	28	31	.	.	PUNCT
ajst-8021	29	1	2	2	X
ajst-8021	29	2	.	.	X
ajst-8021	29	3	application	application	NOUN
ajst-8021	29	4	of	of	ADP
ajst-8021	29	5	attention	attention	NOUN
ajst-8021	29	6	mechanisms	mechanism	NOUN
ajst-8021	29	7	2.1	2.1	NUM
ajst-8021	29	8	.	.	PUNCT
ajst-8021	30	1	description	description	NOUN
ajst-8021	30	2	in	in	ADP
ajst-8021	30	3	neural	neural	ADJ
ajst-8021	30	4	networks	network	NOUN
ajst-8021	30	5	,	,	PUNCT
ajst-8021	30	6	relying	rely	VERB
ajst-8021	30	7	on	on	ADP
ajst-8021	30	8	convolutional	convolutional	ADJ
ajst-8021	30	9	operations	operation	NOUN
ajst-8021	30	10	in	in	ADP
ajst-8021	30	11	the	the	DET
ajst-8021	30	12	current	current	ADJ
ajst-8021	30	13	layer	layer	NOUN
ajst-8021	30	14	has	have	VERB
ajst-8021	30	15	a	a	DET
ajst-8021	30	16	limited	limited	ADJ
ajst-8021	30	17	ability	ability	NOUN
ajst-8021	30	18	to	to	PART
ajst-8021	30	19	modulate	modulate	VERB
ajst-8021	30	20	features	feature	NOUN
ajst-8021	30	21	locally	locally	ADV
ajst-8021	30	22	,	,	PUNCT
ajst-8021	30	23	which	which	PRON
ajst-8021	30	24	may	may	AUX
ajst-8021	30	25	affect	affect	VERB
ajst-8021	30	26	the	the	DET
ajst-8021	30	27	accuracy	accuracy	NOUN
ajst-8021	30	28	of	of	ADP
ajst-8021	30	29	recognition	recognition	NOUN
ajst-8021	30	30	[	[	X
ajst-8021	30	31	4	4	NUM
ajst-8021	30	32	,	,	PUNCT
ajst-8021	30	33	18	18	NUM
ajst-8021	30	34	]	]	PUNCT
ajst-8021	30	35	.	.	PUNCT
ajst-8021	31	1	however	however	ADV
ajst-8021	31	2	,	,	PUNCT
ajst-8021	31	3	convolution	convolution	NOUN
ajst-8021	31	4	operation	operation	NOUN
ajst-8021	31	5	can	can	AUX
ajst-8021	31	6	not	not	PART
ajst-8021	31	7	take	take	VERB
ajst-8021	31	8	into	into	ADP
ajst-8021	31	9	account	account	NOUN
ajst-8021	31	10	the	the	DET
ajst-8021	31	11	distribution	distribution	NOUN
ajst-8021	31	12	of	of	ADP
ajst-8021	31	13	features	feature	NOUN
ajst-8021	31	14	beyond	beyond	ADP
ajst-8021	31	15	the	the	DET
ajst-8021	31	16	current	current	ADJ
ajst-8021	31	17	location	location	NOUN
ajst-8021	31	18	and	and	CCONJ
ajst-8021	31	19	the	the	DET
ajst-8021	31	20	interactions	interaction	NOUN
ajst-8021	31	21	between	between	ADP
ajst-8021	31	22	features	feature	NOUN
ajst-8021	31	23	,	,	PUNCT
ajst-8021	31	24	and	and	CCONJ
ajst-8021	31	25	it	it	PRON
ajst-8021	31	26	is	be	AUX
ajst-8021	31	27	necessary	necessary	ADJ
ajst-8021	31	28	to	to	PART
ajst-8021	31	29	keep	keep	VERB
ajst-8021	31	30	stacking	stack	VERB
ajst-8021	31	31	these	these	DET
ajst-8021	31	32	structures	structure	NOUN
ajst-8021	31	33	at	at	ADP
ajst-8021	31	34	a	a	DET
ajst-8021	31	35	deep	deep	ADJ
ajst-8021	31	36	level	level	NOUN
ajst-8021	31	37	to	to	PART
ajst-8021	31	38	obtain	obtain	VERB
ajst-8021	31	39	a	a	DET
ajst-8021	31	40	suitable	suitable	ADJ
ajst-8021	31	41	long	long	ADJ
ajst-8021	31	42	-	-	PUNCT
ajst-8021	31	43	range	range	NOUN
ajst-8021	31	44	perception	perception	NOUN
ajst-8021	31	45	.	.	PUNCT
ajst-8021	32	1	the	the	DET
ajst-8021	32	2	attention	attention	NOUN
ajst-8021	32	3	mechanism	mechanism	NOUN
ajst-8021	32	4	is	be	AUX
ajst-8021	32	5	essentially	essentially	ADV
ajst-8021	32	6	the	the	DET
ajst-8021	32	7	process	process	NOUN
ajst-8021	32	8	of	of	ADP
ajst-8021	32	9	focusing	focus	VERB
ajst-8021	32	10	on	on	ADP
ajst-8021	32	11	a	a	DET
ajst-8021	32	12	set	set	NOUN
ajst-8021	32	13	of	of	ADP
ajst-8021	32	14	regions	region	NOUN
ajst-8021	32	15	based	base	VERB
ajst-8021	32	16	on	on	ADP
ajst-8021	32	17	a	a	DET
ajst-8021	32	18	more	more	ADV
ajst-8021	32	19	comprehensive	comprehensive	ADJ
ajst-8021	32	20	perception	perception	NOUN
ajst-8021	32	21	of	of	ADP
ajst-8021	32	22	the	the	DET
ajst-8021	32	23	environment	environment	NOUN
ajst-8021	32	24	than	than	ADP
ajst-8021	32	25	the	the	DET
ajst-8021	32	26	model	model	NOUN
ajst-8021	32	27	through	through	ADP
ajst-8021	32	28	comprehensive	comprehensive	ADJ
ajst-8021	32	29	contextual	contextual	ADJ
ajst-8021	32	30	information	information	NOUN
ajst-8021	32	31	or	or	CCONJ
ajst-8021	32	32	given	give	VERB
ajst-8021	32	33	external	external	ADJ
ajst-8021	32	34	conditions	condition	NOUN
ajst-8021	32	35	[	[	X
ajst-8021	32	36	21	21	NUM
ajst-8021	32	37	-	-	SYM
ajst-8021	32	38	23	23	NUM
ajst-8021	32	39	]	]	PUNCT
ajst-8021	32	40	.	.	PUNCT
ajst-8021	33	1	the	the	DET
ajst-8021	33	2	mechanism	mechanism	NOUN
ajst-8021	33	3	is	be	AUX
ajst-8021	33	4	widely	widely	ADV
ajst-8021	33	5	used	use	VERB
ajst-8021	33	6	to	to	PART
ajst-8021	33	7	increase	increase	VERB
ajst-8021	33	8	the	the	DET
ajst-8021	33	9	weight	weight	NOUN
ajst-8021	33	10	of	of	ADP
ajst-8021	33	11	key	key	ADJ
ajst-8021	33	12	location	location	NOUN
ajst-8021	33	13	features	feature	NOUN
ajst-8021	33	14	while	while	SCONJ
ajst-8021	33	15	suppressing	suppress	VERB
ajst-8021	33	16	noise	noise	NOUN
ajst-8021	33	17	and	and	CCONJ
ajst-8021	33	18	interference	interference	NOUN
ajst-8021	33	19	from	from	ADP
ajst-8021	33	20	other	other	ADJ
ajst-8021	33	21	locations	location	NOUN
ajst-8021	33	22	.	.	PUNCT
ajst-8021	34	1	currently	currently	ADV
ajst-8021	34	2	,	,	PUNCT
ajst-8021	34	3	attention	attention	NOUN
ajst-8021	34	4	mechanisms	mechanism	NOUN
ajst-8021	34	5	can	can	AUX
ajst-8021	34	6	be	be	AUX
ajst-8021	34	7	divided	divide	VERB
ajst-8021	34	8	into	into	ADP
ajst-8021	34	9	soft	soft	ADJ
ajst-8021	34	10	attention	attention	NOUN
ajst-8021	34	11	and	and	CCONJ
ajst-8021	34	12	hard	hard	ADJ
ajst-8021	34	13	attention	attention	NOUN
ajst-8021	34	14	according	accord	VERB
ajst-8021	34	15	to	to	ADP
ajst-8021	34	16	the	the	DET
ajst-8021	34	17	nature	nature	NOUN
ajst-8021	34	18	of	of	ADP
ajst-8021	34	19	differential	differential	ADJ
ajst-8021	34	20	derivability	derivability	NOUN
ajst-8021	34	21	,	,	PUNCT
ajst-8021	34	22	the	the	DET
ajst-8021	34	23	former	former	ADJ
ajst-8021	34	24	of	of	ADP
ajst-8021	34	25	which	which	PRON
ajst-8021	34	26	is	be	AUX
ajst-8021	34	27	generally	generally	ADV
ajst-8021	34	28	self	self	NOUN
ajst-8021	34	29	-	-	PUNCT
ajst-8021	34	30	learning	learn	VERB
ajst-8021	34	31	a	a	DET
ajst-8021	34	32	set	set	NOUN
ajst-8021	34	33	of	of	ADP
ajst-8021	34	34	weights	weight	NOUN
ajst-8021	34	35	that	that	PRON
ajst-8021	34	36	are	be	AUX
ajst-8021	34	37	back	back	ADV
ajst-8021	34	38	-	-	PUNCT
ajst-8021	34	39	propagated	propagate	VERB
ajst-8021	34	40	according	accord	VERB
ajst-8021	34	41	to	to	ADP
ajst-8021	34	42	the	the	DET
ajst-8021	34	43	gradient	gradient	NOUN
ajst-8021	34	44	and	and	CCONJ
ajst-8021	34	45	adaptively	adaptively	ADV
ajst-8021	34	46	updated	update	VERB
ajst-8021	34	47	with	with	ADP
ajst-8021	34	48	parameters	parameter	NOUN
ajst-8021	34	49	.	.	PUNCT
ajst-8021	35	1	the	the	DET
ajst-8021	35	2	latter	latter	ADJ
ajst-8021	35	3	enhances	enhance	VERB
ajst-8021	35	4	the	the	DET
ajst-8021	35	5	attention	attention	NOUN
ajst-8021	35	6	of	of	ADP
ajst-8021	35	7	the	the	DET
ajst-8021	35	8	model	model	NOUN
ajst-8021	35	9	to	to	ADP
ajst-8021	35	10	the	the	DET
ajst-8021	35	11	region	region	NOUN
ajst-8021	35	12	of	of	ADP
ajst-8021	35	13	interest	interest	NOUN
ajst-8021	35	14	by	by	ADP
ajst-8021	35	15	giving	give	VERB
ajst-8021	35	16	a	a	DET
ajst-8021	35	17	set	set	NOUN
ajst-8021	35	18	of	of	ADP
ajst-8021	35	19	masks	mask	NOUN
ajst-8021	35	20	for	for	ADP
ajst-8021	35	21	region	region	NOUN
ajst-8021	35	22	exclusion	exclusion	NOUN
ajst-8021	35	23	.	.	PUNCT
ajst-8021	36	1	the	the	DET
ajst-8021	36	2	section	section	NOUN
ajst-8021	36	3	headings	heading	NOUN
ajst-8021	36	4	are	be	AUX
ajst-8021	36	5	in	in	ADP
ajst-8021	36	6	boldface	boldface	NOUN
ajst-8021	36	7	capital	capital	NOUN
ajst-8021	36	8	and	and	CCONJ
ajst-8021	36	9	lowercase	lowercase	NOUN
ajst-8021	36	10	letters	letter	NOUN
ajst-8021	36	11	.	.	PUNCT
ajst-8021	37	1	second	second	ADJ
ajst-8021	37	2	level	level	NOUN
ajst-8021	37	3	headings	heading	NOUN
ajst-8021	37	4	are	be	AUX
ajst-8021	37	5	typed	type	VERB
ajst-8021	37	6	as	as	ADP
ajst-8021	37	7	part	part	NOUN
ajst-8021	37	8	of	of	ADP
ajst-8021	37	9	the	the	DET
ajst-8021	37	10	succeeding	succeed	VERB
ajst-8021	37	11	paragraph	paragraph	NOUN
ajst-8021	37	12	(	(	PUNCT
ajst-8021	37	13	like	like	ADP
ajst-8021	37	14	the	the	DET
ajst-8021	37	15	subsection	subsection	NOUN
ajst-8021	37	16	heading	head	VERB
ajst-8021	37	17	of	of	ADP
ajst-8021	37	18	this	this	DET
ajst-8021	37	19	paragraph	paragraph	NOUN
ajst-8021	37	20	)	)	PUNCT
ajst-8021	37	21	.	.	PUNCT
ajst-8021	38	1	all	all	DET
ajst-8021	38	2	manuscripts	manuscript	NOUN
ajst-8021	38	3	must	must	AUX
ajst-8021	38	4	be	be	AUX
ajst-8021	38	5	in	in	ADP
ajst-8021	38	6	english	english	PROPN
ajst-8021	38	7	,	,	PUNCT
ajst-8021	38	8	also	also	ADV
ajst-8021	38	9	the	the	DET
ajst-8021	38	10	table	table	NOUN
ajst-8021	38	11	and	and	CCONJ
ajst-8021	38	12	figure	figure	NOUN
ajst-8021	38	13	texts	text	NOUN
ajst-8021	38	14	,	,	PUNCT
ajst-8021	38	15	otherwise	otherwise	ADV
ajst-8021	38	16	we	we	PRON
ajst-8021	38	17	can	can	AUX
ajst-8021	38	18	not	not	PART
ajst-8021	38	19	publish	publish	VERB
ajst-8021	38	20	your	your	PRON
ajst-8021	38	21	paper	paper	NOUN
ajst-8021	38	22	.	.	PUNCT
ajst-8021	39	1	please	please	INTJ
ajst-8021	39	2	keep	keep	VERB
ajst-8021	39	3	a	a	DET
ajst-8021	39	4	second	second	ADJ
ajst-8021	39	5	copy	copy	NOUN
ajst-8021	39	6	of	of	ADP
ajst-8021	39	7	your	your	PRON
ajst-8021	39	8	manuscript	manuscript	NOUN
ajst-8021	39	9	in	in	ADP
ajst-8021	39	10	your	your	PRON
ajst-8021	39	11	office	office	NOUN
ajst-8021	39	12	.	.	PUNCT
ajst-8021	40	1	when	when	SCONJ
ajst-8021	40	2	receiving	receive	VERB
ajst-8021	40	3	the	the	DET
ajst-8021	40	4	paper	paper	NOUN
ajst-8021	40	5	,	,	PUNCT
ajst-8021	40	6	we	we	PRON
ajst-8021	40	7	assume	assume	VERB
ajst-8021	40	8	that	that	SCONJ
ajst-8021	40	9	the	the	DET
ajst-8021	40	10	corresponding	corresponding	ADJ
ajst-8021	40	11	authors	author	NOUN
ajst-8021	40	12	grant	grant	VERB
ajst-8021	40	13	us	we	PRON
ajst-8021	40	14	the	the	DET
ajst-8021	40	15	copyright	copyright	NOUN
ajst-8021	40	16	to	to	PART
ajst-8021	40	17	use	use	VERB
ajst-8021	40	18	the	the	DET
ajst-8021	40	19	paper	paper	NOUN
ajst-8021	40	20	for	for	ADP
ajst-8021	40	21	the	the	DET
ajst-8021	40	22	book	book	NOUN
ajst-8021	40	23	or	or	CCONJ
ajst-8021	40	24	journal	journal	NOUN
ajst-8021	40	25	in	in	ADP
ajst-8021	40	26	question	question	NOUN
ajst-8021	40	27	.	.	PUNCT
ajst-8021	41	1	when	when	SCONJ
ajst-8021	41	2	receiving	receive	VERB
ajst-8021	41	3	the	the	DET
ajst-8021	41	4	paper	paper	NOUN
ajst-8021	41	5	,	,	PUNCT
ajst-8021	41	6	we	we	PRON
ajst-8021	41	7	assume	assume	VERB
ajst-8021	41	8	that	that	SCONJ
ajst-8021	41	9	the	the	DET
ajst-8021	41	10	corresponding	corresponding	ADJ
ajst-8021	41	11	authors	author	NOUN
ajst-8021	41	12	grant	grant	VERB
ajst-8021	41	13	us	we	PRON
ajst-8021	41	14	the	the	DET
ajst-8021	41	15	copyright	copyright	NOUN
ajst-8021	41	16	to	to	PART
ajst-8021	41	17	use	use	VERB
ajst-8021	41	18	the	the	DET
ajst-8021	41	19	paper	paper	NOUN
ajst-8021	41	20	for	for	ADP
ajst-8021	41	21	the	the	DET
ajst-8021	41	22	book	book	NOUN
ajst-8021	41	23	or	or	CCONJ
ajst-8021	41	24	journal	journal	NOUN
ajst-8021	41	25	in	in	ADP
ajst-8021	41	26	question	question	NOUN
ajst-8021	41	27	.	.	PUNCT
ajst-8021	42	1	when	when	SCONJ
ajst-8021	42	2	receiving	receive	VERB
ajst-8021	42	3	the	the	DET
ajst-8021	42	4	paper	paper	NOUN
ajst-8021	42	5	,	,	PUNCT
ajst-8021	42	6	we	we	PRON
ajst-8021	42	7	assume	assume	VERB
ajst-8021	42	8	that	that	SCONJ
ajst-8021	42	9	the	the	DET
ajst-8021	42	10	corresponding	corresponding	ADJ
ajst-8021	42	11	authors	author	NOUN
ajst-8021	42	12	grant	grant	VERB
ajst-8021	42	13	us	we	PRON
ajst-8021	42	14	the	the	DET
ajst-8021	42	15	copyright	copyright	NOUN
ajst-8021	42	16	to	to	PART
ajst-8021	42	17	use	use	VERB
ajst-8021	42	18	.	.	PUNCT
ajst-8021	43	1	2.2	2.2	NUM
ajst-8021	43	2	.	.	PUNCT
ajst-8021	43	3	conventional	conventional	ADJ
ajst-8021	43	4	attention	attention	NOUN
ajst-8021	43	5	channel	channel	NOUN
ajst-8021	43	6	domain	domain	NOUN
ajst-8021	43	7	attention	attention	NOUN
ajst-8021	43	8	can	can	AUX
ajst-8021	43	9	help	help	VERB
ajst-8021	43	10	the	the	DET
ajst-8021	43	11	model	model	NOUN
ajst-8021	43	12	to	to	PART
ajst-8021	43	13	weight	weight	VERB
ajst-8021	43	14	the	the	DET
ajst-8021	43	15	feature	feature	NOUN
ajst-8021	43	16	channels	channel	NOUN
ajst-8021	43	17	according	accord	VERB
ajst-8021	43	18	to	to	ADP
ajst-8021	43	19	the	the	DET
ajst-8021	43	20	signals	signal	NOUN
ajst-8021	43	21	of	of	ADP
ajst-8021	43	22	spatial	spatial	ADJ
ajst-8021	43	23	aggregation	aggregation	NOUN
ajst-8021	43	24	,	,	PUNCT
ajst-8021	43	25	which	which	PRON
ajst-8021	43	26	is	be	AUX
ajst-8021	43	27	represented	represent	VERB
ajst-8021	43	28	by	by	ADP
ajst-8021	43	29	the	the	DET
ajst-8021	43	30	scheme	scheme	PROPN
ajst-8021	43	31	se	se	PROPN
ajst-8021	43	32	net	net	NOUN
ajst-8021	43	33	[	[	X
ajst-8021	43	34	3	3	NUM
ajst-8021	43	35	]	]	PUNCT
ajst-8021	43	36	.	.	PUNCT
ajst-8021	44	1	as	as	SCONJ
ajst-8021	44	2	shown	show	VERB
ajst-8021	44	3	in	in	ADP
ajst-8021	44	4	figure	figure	NOUN
ajst-8021	44	5	1	1	NUM
ajst-8021	44	6	,	,	PUNCT
ajst-8021	44	7	it	it	PRON
ajst-8021	44	8	designs	design	VERB
ajst-8021	44	9	a	a	DET
ajst-8021	44	10	separate	separate	ADJ
ajst-8021	44	11	branch	branch	NOUN
ajst-8021	44	12	outside	outside	ADP
ajst-8021	44	13	the	the	DET
ajst-8021	44	14	main	main	ADJ
ajst-8021	44	15	branch	branch	NOUN
ajst-8021	44	16	for	for	ADP
ajst-8021	44	17	obtaining	obtain	VERB
ajst-8021	44	18	the	the	DET
ajst-8021	44	19	global	global	ADJ
ajst-8021	44	20	correlation	correlation	NOUN
ajst-8021	44	21	of	of	ADP
ajst-8021	44	22	the	the	DET
ajst-8021	44	23	feature	feature	NOUN
ajst-8021	44	24	map	map	NOUN
ajst-8021	44	25	in	in	ADP
ajst-8021	44	26	the	the	DET
ajst-8021	44	27	channel	channel	NOUN
ajst-8021	44	28	dimension	dimension	NOUN
ajst-8021	44	29	and	and	CCONJ
ajst-8021	44	30	then	then	ADV
ajst-8021	44	31	assigns	assign	VERB
ajst-8021	44	32	the	the	DET
ajst-8021	44	33	corresponding	correspond	VERB
ajst-8021	44	34	channel	channel	NOUN
ajst-8021	44	35	weights	weight	VERB
ajst-8021	44	36	to	to	ADP
ajst-8021	44	37	the	the	DET
ajst-8021	44	38	main	main	ADJ
ajst-8021	44	39	branch	branch	NOUN
ajst-8021	44	40	,	,	PUNCT
ajst-8021	44	41	which	which	PRON
ajst-8021	44	42	dynamically	dynamically	ADV
ajst-8021	44	43	adjusts	adjust	VERB
ajst-8021	44	44	the	the	DET
ajst-8021	44	45	feature	feature	NOUN
ajst-8021	44	46	maps	map	NOUN
ajst-8021	44	47	between	between	ADP
ajst-8021	44	48	channels	channel	NOUN
ajst-8021	44	49	accordingly	accordingly	ADV
ajst-8021	44	50	.	.	PUNCT
ajst-8021	45	1	sk	sk	AUX
ajst-8021	45	2	-	-	PUNCT
ajst-8021	45	3	net	net	NOUN
ajst-8021	45	4	[	[	X
ajst-8021	45	5	24	24	NUM
ajst-8021	45	6	]	]	PUNCT
ajst-8021	45	7	,	,	PUNCT
ajst-8021	45	8	on	on	ADP
ajst-8021	45	9	the	the	DET
ajst-8021	45	10	other	other	ADJ
ajst-8021	45	11	hand	hand	NOUN
ajst-8021	45	12	,	,	PUNCT
ajst-8021	45	13	considers	consider	VERB
ajst-8021	45	14	that	that	SCONJ
ajst-8021	45	15	different	different	ADJ
ajst-8021	45	16	convolutional	convolutional	ADJ
ajst-8021	45	17	kernel	kernel	NOUN
ajst-8021	45	18	sizes	size	NOUN
ajst-8021	45	19	have	have	VERB
ajst-8021	45	20	different	different	ADJ
ajst-8021	45	21	effects	effect	NOUN
ajst-8021	45	22	on	on	ADP
ajst-8021	45	23	attention	attention	NOUN
ajst-8021	45	24	,	,	PUNCT
ajst-8021	45	25	so	so	ADV
ajst-8021	45	26	two	two	NUM
ajst-8021	45	27	branches	branch	NOUN
ajst-8021	45	28	of	of	ADP
ajst-8021	45	29	small	small	ADJ
ajst-8021	45	30	size	size	NOUN
ajst-8021	45	31	3	3	NUM
ajst-8021	45	32	3	3	NUM
ajst-8021	45	33	and	and	CCONJ
ajst-8021	45	34	large	large	ADJ
ajst-8021	45	35	size	size	NOUN
ajst-8021	45	36	5	5	NUM
ajst-8021	45	37	5	5	NUM
ajst-8021	45	38	are	be	AUX
ajst-8021	45	39	designed	design	VERB
ajst-8021	45	40	to	to	PART
ajst-8021	45	41	assign	assign	VERB
ajst-8021	45	42	different	different	ADJ
ajst-8021	45	43	influence	influence	NOUN
ajst-8021	45	44	fractions	fraction	NOUN
ajst-8021	45	45	,	,	PUNCT
ajst-8021	45	46	and	and	CCONJ
ajst-8021	45	47	thus	thus	ADV
ajst-8021	45	48	have	have	VERB
ajst-8021	45	49	good	good	ADJ
ajst-8021	45	50	effects	effect	NOUN
ajst-8021	45	51	on	on	ADP
ajst-8021	45	52	feature	feature	NOUN
ajst-8021	45	53	recalibration	recalibration	NOUN
ajst-8021	45	54	at	at	ADP
ajst-8021	45	55	different	different	ADJ
ajst-8021	45	56	scales	scale	NOUN
ajst-8021	45	57	.	.	PUNCT
ajst-8021	46	1	to	to	PART
ajst-8021	46	2	achieve	achieve	VERB
ajst-8021	46	3	a	a	DET
ajst-8021	46	4	lightweight	lightweight	ADJ
ajst-8021	46	5	channel	channel	NOUN
ajst-8021	46	6	attention	attention	NOUN
ajst-8021	46	7	design	design	NOUN
ajst-8021	46	8	while	while	SCONJ
ajst-8021	46	9	normalizing	normalize	VERB
ajst-8021	46	10	the	the	DET
ajst-8021	46	11	channel	channel	NOUN
ajst-8021	46	12	order	order	NOUN
ajst-8021	46	13	,	,	PUNCT
ajst-8021	46	14	the	the	DET
ajst-8021	46	15	order	order	NOUN
ajst-8021	46	16	module	module	NOUN
ajst-8021	46	17	[	[	X
ajst-8021	46	18	22	22	NUM
ajst-8021	46	19	]	]	PUNCT
ajst-8021	46	20	considers	consider	VERB
ajst-8021	46	21	the	the	DET
ajst-8021	46	22	channel	channel	NOUN
ajst-8021	46	23	patterns	pattern	NOUN
ajst-8021	46	24	in	in	ADP
ajst-8021	46	25	the	the	DET
ajst-8021	46	26	vicinity	vicinity	NOUN
ajst-8021	46	27	of	of	ADP
ajst-8021	46	28	the	the	DET
ajst-8021	46	29	current	current	ADJ
ajst-8021	46	30	channel	channel	NOUN
ajst-8021	46	31	,	,	PUNCT
ajst-8021	46	32	and	and	CCONJ
ajst-8021	46	33	patterns	pattern	NOUN
ajst-8021	46	34	have	have	VERB
ajst-8021	46	35	a	a	DET
ajst-8021	46	36	sliding	slide	VERB
ajst-8021	46	37	window	window	NOUN
ajst-8021	46	38	implementation	implementation	NOUN
ajst-8021	46	39	using	use	VERB
ajst-8021	46	40	1d	1d	NUM
ajst-8021	46	41	convolution	convolution	NOUN
ajst-8021	46	42	with	with	ADP
ajst-8021	46	43	shared	share	VERB
ajst-8021	46	44	parameters	parameter	NOUN
ajst-8021	46	45	.	.	PUNCT
ajst-8021	47	1	to	to	PART
ajst-8021	47	2	achieve	achieve	VERB
ajst-8021	47	3	relationship	relationship	NOUN
ajst-8021	47	4	capture	capture	NOUN
ajst-8021	47	5	between	between	ADP
ajst-8021	47	6	multi	multi	ADJ
ajst-8021	47	7	-	-	ADJ
ajst-8021	47	8	distant	distant	ADJ
ajst-8021	47	9	variables	variable	NOUN
ajst-8021	47	10	,	,	PUNCT
ajst-8021	47	11	gpos	gpos	NOUN
ajst-8021	48	1	[	[	X
ajst-8021	48	2	25	25	NUM
ajst-8021	48	3	]	]	PUNCT
ajst-8021	48	4	performs	perform	VERB
ajst-8021	48	5	2nd	2nd	ADJ
ajst-8021	48	6	-	-	PUNCT
ajst-8021	48	7	order	order	NOUN
ajst-8021	48	8	pooling	pooling	NOUN
ajst-8021	48	9	to	to	PART
ajst-8021	48	10	construct	construct	VERB
ajst-8021	48	11	relationships	relationship	NOUN
ajst-8021	48	12	between	between	ADP
ajst-8021	48	13	point	point	NOUN
ajst-8021	48	14	pairs	pair	NOUN
ajst-8021	48	15	,	,	PUNCT
ajst-8021	48	16	so	so	SCONJ
ajst-8021	48	17	that	that	SCONJ
ajst-8021	48	18	the	the	DET
ajst-8021	48	19	generated	generate	VERB
ajst-8021	48	20	channel	channel	NOUN
ajst-8021	48	21	adjustment	adjustment	NOUN
ajst-8021	48	22	scores	score	NOUN
ajst-8021	48	23	can	can	AUX
ajst-8021	48	24	be	be	AUX
ajst-8021	48	25	generated	generate	VERB
ajst-8021	48	26	based	base	VERB
ajst-8021	48	27	on	on	ADP
ajst-8021	48	28	higher	high	ADJ
ajst-8021	48	29	-	-	PUNCT
ajst-8021	48	30	order	order	NOUN
ajst-8021	48	31	correlations	correlation	NOUN
ajst-8021	48	32	.	.	PUNCT
ajst-8021	49	1	figure	figure	NOUN
ajst-8021	49	2	1	1	NUM
ajst-8021	49	3	operation	operation	NOUN
ajst-8021	49	4	of	of	ADP
ajst-8021	49	5	squeeze	squeeze	NOUN
ajst-8021	49	6	-	-	PUNCT
ajst-8021	49	7	and	and	CCONJ
ajst-8021	49	8	-	-	PUNCT
ajst-8021	49	9	excitation	excitation	NOUN
ajst-8021	49	10	channel	channel	NOUN
ajst-8021	49	11	attention	attention	NOUN
ajst-8021	49	12	while	while	SCONJ
ajst-8021	49	13	channel	channel	NOUN
ajst-8021	49	14	attention	attention	NOUN
ajst-8021	49	15	has	have	AUX
ajst-8021	49	16	been	be	AUX
ajst-8021	49	17	shown	show	VERB
ajst-8021	49	18	to	to	PART
ajst-8021	49	19	highlight	highlight	VERB
ajst-8021	49	20	features	feature	NOUN
ajst-8021	49	21	of	of	ADP
ajst-8021	49	22	beneficial	beneficial	ADJ
ajst-8021	49	23	channels	channel	NOUN
ajst-8021	49	24	,	,	PUNCT
ajst-8021	49	25	such	such	ADJ
ajst-8021	49	26	attention	attention	NOUN
ajst-8021	49	27	typically	typically	ADV
ajst-8021	49	28	ignores	ignore	VERB
ajst-8021	49	29	the	the	DET
ajst-8021	49	30	positional	positional	ADJ
ajst-8021	49	31	relationships	relationship	NOUN
ajst-8021	49	32	of	of	ADP
ajst-8021	49	33	spatial	spatial	ADJ
ajst-8021	49	34	features	feature	NOUN
ajst-8021	49	35	,	,	PUNCT
ajst-8021	49	36	which	which	PRON
ajst-8021	49	37	are	be	AUX
ajst-8021	49	38	often	often	ADV
ajst-8021	49	39	critical	critical	ADJ
ajst-8021	49	40	to	to	ADP
ajst-8021	49	41	the	the	DET
ajst-8021	49	42	need	need	NOUN
ajst-8021	49	43	for	for	ADP
ajst-8021	49	44	spatial	spatial	ADJ
ajst-8021	49	45	selectivity	selectivity	NOUN
ajst-8021	49	46	.	.	PUNCT
ajst-8021	50	1	spatial	spatial	ADJ
ajst-8021	50	2	information	information	NOUN
ajst-8021	50	3	includes	include	VERB
ajst-8021	50	4	the	the	DET
ajst-8021	50	5	location	location	NOUN
ajst-8021	50	6	,	,	PUNCT
ajst-8021	50	7	shape	shape	NOUN
ajst-8021	50	8	and	and	CCONJ
ajst-8021	50	9	spatial	spatial	ADJ
ajst-8021	50	10	relationships	relationship	NOUN
ajst-8021	50	11	,	,	PUNCT
ajst-8021	50	12	and	and	CCONJ
ajst-8021	50	13	spatial	spatial	ADJ
ajst-8021	50	14	structure	structure	NOUN
ajst-8021	50	15	of	of	ADP
ajst-8021	50	16	the	the	DET
ajst-8021	50	17	target	target	NOUN
ajst-8021	50	18	.	.	PUNCT
ajst-8021	51	1	spatial	spatial	ADJ
ajst-8021	51	2	domain	domain	NOUN
ajst-8021	51	3	attention	attention	NOUN
ajst-8021	51	4	then	then	ADV
ajst-8021	51	5	performs	perform	VERB
ajst-8021	51	6	adjustments	adjustment	NOUN
ajst-8021	51	7	for	for	ADP
ajst-8021	51	8	feature	feature	NOUN
ajst-8021	51	9	values	value	NOUN
ajst-8021	51	10	in	in	ADP
ajst-8021	51	11	the	the	DET
ajst-8021	51	12	height	height	NOUN
ajst-8021	51	13	and	and	CCONJ
ajst-8021	51	14	weight	weight	NOUN
ajst-8021	51	15	dimensions	dimension	NOUN
ajst-8021	51	16	concerning	concern	VERB
ajst-8021	51	17	spatial	spatial	ADJ
ajst-8021	51	18	contextual	contextual	ADJ
ajst-8021	51	19	information	information	NOUN
ajst-8021	51	20	.	.	PUNCT
ajst-8021	52	1	the	the	DET
ajst-8021	52	2	research	research	NOUN
ajst-8021	52	3	[	[	X
ajst-8021	52	4	14	14	NUM
ajst-8021	52	5	]	]	PUNCT
ajst-8021	52	6	argues	argue	VERB
ajst-8021	52	7	that	that	SCONJ
ajst-8021	52	8	local	local	ADJ
ajst-8021	52	9	operators	operator	NOUN
ajst-8021	52	10	of	of	ADP
ajst-8021	52	11	cnn	cnn	PROPN
ajst-8021	52	12	,	,	PUNCT
ajst-8021	52	13	e.g.	e.g.	ADV
ajst-8021	52	14	,	,	PUNCT
ajst-8021	52	15	convolution	convolution	NOUN
ajst-8021	52	16	layer	layer	NOUN
ajst-8021	52	17	and	and	CCONJ
ajst-8021	52	18	pooling	pool	VERB
ajst-8021	52	19	layer	layer	NOUN
ajst-8021	52	20	,	,	PUNCT
ajst-8021	52	21	can	can	AUX
ajst-8021	52	22	match	match	VERB
ajst-8021	52	23	some	some	DET
ajst-8021	52	24	spatial	spatial	ADJ
ajst-8021	52	25	information	information	NOUN
ajst-8021	52	26	of	of	ADP
ajst-8021	52	27	an	an	DET
ajst-8021	52	28	image	image	NOUN
ajst-8021	52	29	,	,	PUNCT
ajst-8021	52	30	but	but	CCONJ
ajst-8021	52	31	may	may	AUX
ajst-8021	52	32	prevent	prevent	VERB
ajst-8021	52	33	the	the	DET
ajst-8021	52	34	model	model	NOUN
ajst-8021	52	35	from	from	ADP
ajst-8021	52	36	capturing	capture	VERB
ajst-8021	52	37	remote	remote	ADJ
ajst-8021	52	38	feature	feature	NOUN
ajst-8021	52	39	interactions	interaction	NOUN
ajst-8021	52	40	.	.	PUNCT
ajst-8021	53	1	therefore	therefore	ADV
ajst-8021	53	2	,	,	PUNCT
ajst-8021	53	3	the	the	DET
ajst-8021	53	4	gather	gather	NOUN
ajst-8021	53	5	-	-	PUNCT
ajst-8021	53	6	excite	excite	ADJ
ajst-8021	53	7	module	module	NOUN
ajst-8021	53	8	,	,	PUNCT
ajst-8021	53	9	as	as	SCONJ
ajst-8021	53	10	shown	show	VERB
ajst-8021	53	11	in	in	ADP
ajst-8021	53	12	figure	figure	NOUN
ajst-8021	53	13	2	2	NUM
ajst-8021	53	14	,	,	PUNCT
ajst-8021	53	15	is	be	AUX
ajst-8021	53	16	proposed	propose	VERB
ajst-8021	53	17	to	to	PART
ajst-8021	53	18	perform	perform	VERB
ajst-8021	53	19	feature	feature	NOUN
ajst-8021	53	20	map	map	NOUN
ajst-8021	53	21	adjustment	adjustment	NOUN
ajst-8021	53	22	by	by	ADP
ajst-8021	53	23	first	first	ADV
ajst-8021	53	24	aggregating	aggregate	VERB
ajst-8021	53	25	feature	feature	NOUN
ajst-8021	53	26	responses	response	NOUN
ajst-8021	53	27	over	over	ADP
ajst-8021	53	28	a	a	DET
ajst-8021	53	29	larger	large	ADJ
ajst-8021	53	30	range	range	NOUN
ajst-8021	53	31	and	and	CCONJ
ajst-8021	53	32	then	then	ADV
ajst-8021	53	33	merging	merge	VERB
ajst-8021	53	34	the	the	DET
ajst-8021	53	35	information	information	NOUN
ajst-8021	53	36	and	and	CCONJ
ajst-8021	53	37	redistributing	redistribute	VERB
ajst-8021	53	38	it	it	PRON
ajst-8021	53	39	to	to	ADP
ajst-8021	53	40	local	local	ADJ
ajst-8021	53	41	features	feature	NOUN
ajst-8021	53	42	.	.	PUNCT
ajst-8021	54	1	239	239	NUM
ajst-8021	54	2	experiments	experiment	NOUN
ajst-8021	54	3	show	show	VERB
ajst-8021	54	4	that	that	SCONJ
ajst-8021	54	5	this	this	DET
ajst-8021	54	6	mechanism	mechanism	NOUN
ajst-8021	54	7	can	can	AUX
ajst-8021	54	8	achieve	achieve	VERB
ajst-8021	54	9	gains	gain	NOUN
ajst-8021	54	10	consistent	consistent	ADJ
ajst-8021	54	11	with	with	ADP
ajst-8021	54	12	increasing	increase	VERB
ajst-8021	54	13	cnn	cnn	NOUN
ajst-8021	54	14	depth	depth	NOUN
ajst-8021	54	15	at	at	ADP
ajst-8021	54	16	a	a	DET
ajst-8021	54	17	low	low	ADJ
ajst-8021	54	18	cost	cost	NOUN
ajst-8021	54	19	.	.	PUNCT
ajst-8021	55	1	the	the	DET
ajst-8021	55	2	study	study	NOUN
ajst-8021	55	3	[	[	X
ajst-8021	55	4	26	26	NUM
ajst-8021	55	5	]	]	PUNCT
ajst-8021	55	6	introduces	introduce	VERB
ajst-8021	55	7	a	a	DET
ajst-8021	55	8	two	two	NUM
ajst-8021	55	9	-	-	PUNCT
ajst-8021	55	10	branch	branch	NOUN
ajst-8021	55	11	structure	structure	NOUN
ajst-8021	55	12	for	for	ADP
ajst-8021	55	13	information	information	NOUN
ajst-8021	55	14	flow	flow	NOUN
ajst-8021	55	15	fusion	fusion	NOUN
ajst-8021	55	16	-	-	PUNCT
ajst-8021	55	17	gathering	gather	VERB
ajst-8021	55	18	attention	attention	NOUN
ajst-8021	55	19	branch	branch	NOUN
ajst-8021	55	20	and	and	CCONJ
ajst-8021	55	21	distributing	distribute	VERB
ajst-8021	55	22	attention	attention	NOUN
ajst-8021	55	23	branch	branch	NOUN
ajst-8021	55	24	,	,	PUNCT
ajst-8021	55	25	where	where	SCONJ
ajst-8021	55	26	the	the	DET
ajst-8021	55	27	former	former	ADJ
ajst-8021	55	28	self	self	NOUN
ajst-8021	55	29	-	-	PUNCT
ajst-8021	55	30	learns	learn	VERB
ajst-8021	55	31	a	a	DET
ajst-8021	55	32	bi	bi	ADJ
ajst-8021	55	33	-	-	ADJ
ajst-8021	55	34	directional	directional	ADJ
ajst-8021	55	35	relational	relational	ADJ
ajst-8021	55	36	mapping	mapping	NOUN
ajst-8021	55	37	between	between	ADP
ajst-8021	55	38	locations	location	NOUN
ajst-8021	55	39	that	that	PRON
ajst-8021	55	40	mitigates	mitigate	VERB
ajst-8021	55	41	the	the	DET
ajst-8021	55	42	local	local	ADJ
ajst-8021	55	43	nature	nature	NOUN
ajst-8021	55	44	of	of	ADP
ajst-8021	55	45	convolution	convolution	NOUN
ajst-8021	55	46	.	.	PUNCT
ajst-8021	56	1	the	the	DET
ajst-8021	56	2	perceptual	perceptual	ADJ
ajst-8021	56	3	fields	field	NOUN
ajst-8021	56	4	received	receive	VERB
ajst-8021	56	5	by	by	ADP
ajst-8021	56	6	the	the	DET
ajst-8021	56	7	network	network	NOUN
ajst-8021	56	8	should	should	AUX
ajst-8021	56	9	be	be	AUX
ajst-8021	56	10	modulated	modulate	VERB
ajst-8021	56	11	in	in	ADP
ajst-8021	56	12	different	different	ADJ
ajst-8021	56	13	environments	environment	NOUN
ajst-8021	56	14	.	.	PUNCT
ajst-8021	57	1	coordinate	coordinate	VERB
ajst-8021	57	2	attention	attention	NOUN
ajst-8021	58	1	[	[	X
ajst-8021	58	2	27	27	NUM
ajst-8021	58	3	]	]	PUNCT
ajst-8021	58	4	decomposes	decompose	VERB
ajst-8021	58	5	channel	channel	NOUN
ajst-8021	58	6	attention	attention	NOUN
ajst-8021	58	7	into	into	ADP
ajst-8021	58	8	two	two	NUM
ajst-8021	58	9	parallel	parallel	ADJ
ajst-8021	58	10	one	one	NUM
ajst-8021	58	11	-	-	PUNCT
ajst-8021	58	12	dimensional	dimensional	ADJ
ajst-8021	58	13	feature	feature	NOUN
ajst-8021	58	14	encodings	encoding	NOUN
ajst-8021	58	15	by	by	ADP
ajst-8021	58	16	pooling	pool	VERB
ajst-8021	58	17	features	feature	NOUN
ajst-8021	58	18	in	in	ADP
ajst-8021	58	19	different	different	ADJ
ajst-8021	58	20	spatial	spatial	ADJ
ajst-8021	58	21	directions	direction	NOUN
ajst-8021	58	22	,	,	PUNCT
ajst-8021	58	23	which	which	PRON
ajst-8021	58	24	preserves	preserve	VERB
ajst-8021	58	25	precise	precise	ADJ
ajst-8021	58	26	location	location	NOUN
ajst-8021	58	27	information	information	NOUN
ajst-8021	58	28	and	and	CCONJ
ajst-8021	58	29	captures	capture	VERB
ajst-8021	58	30	the	the	DET
ajst-8021	58	31	long	long	ADJ
ajst-8021	58	32	-	-	PUNCT
ajst-8021	58	33	range	range	NOUN
ajst-8021	58	34	dependencies	dependency	NOUN
ajst-8021	58	35	.	.	PUNCT
ajst-8021	59	1	figure	figure	NOUN
ajst-8021	59	2	2	2	NUM
ajst-8021	59	3	operation	operation	NOUN
ajst-8021	59	4	of	of	ADP
ajst-8021	59	5	gather	gather	NOUN
ajst-8021	59	6	-	-	PUNCT
ajst-8021	59	7	and	and	CCONJ
ajst-8021	59	8	-	-	PUNCT
ajst-8021	59	9	excite	excite	VERB
ajst-8021	59	10	spatial	spatial	ADJ
ajst-8021	59	11	attention	attention	NOUN
ajst-8021	59	12	a	a	DET
ajst-8021	59	13	more	more	ADV
ajst-8021	59	14	general	general	ADJ
ajst-8021	59	15	technique	technique	NOUN
ajst-8021	59	16	is	be	AUX
ajst-8021	59	17	to	to	PART
ajst-8021	59	18	focus	focus	VERB
ajst-8021	59	19	on	on	ADP
ajst-8021	59	20	both	both	CCONJ
ajst-8021	59	21	the	the	DET
ajst-8021	59	22	channel	channel	NOUN
ajst-8021	59	23	domain	domain	NOUN
ajst-8021	59	24	and	and	CCONJ
ajst-8021	59	25	the	the	DET
ajst-8021	59	26	spatial	spatial	ADJ
ajst-8021	59	27	domain	domain	NOUN
ajst-8021	59	28	for	for	ADP
ajst-8021	59	29	composite	composite	ADJ
ajst-8021	59	30	domain	domain	NOUN
ajst-8021	59	31	attention	attention	NOUN
ajst-8021	59	32	,	,	PUNCT
ajst-8021	59	33	such	such	ADJ
ajst-8021	59	34	as	as	ADP
ajst-8021	59	35	cbam	cbam	NOUN
ajst-8021	59	36	[	[	X
ajst-8021	59	37	13	13	NUM
ajst-8021	59	38	]	]	PUNCT
ajst-8021	59	39	and	and	CCONJ
ajst-8021	59	40	bam	bam	VERB
ajst-8021	60	1	[	[	X
ajst-8021	60	2	12	12	NUM
ajst-8021	60	3	]	]	PUNCT
ajst-8021	60	4	,	,	PUNCT
ajst-8021	60	5	which	which	PRON
ajst-8021	60	6	use	use	VERB
ajst-8021	60	7	series	series	NOUN
ajst-8021	60	8	and	and	CCONJ
ajst-8021	60	9	parallel	parallel	ADJ
ajst-8021	60	10	schemes	scheme	NOUN
ajst-8021	60	11	to	to	PART
ajst-8021	60	12	deal	deal	VERB
ajst-8021	60	13	with	with	ADP
ajst-8021	60	14	the	the	DET
ajst-8021	60	15	two	two	NUM
ajst-8021	60	16	dimensions	dimension	NOUN
ajst-8021	60	17	separately	separately	ADV
ajst-8021	60	18	,	,	PUNCT
ajst-8021	60	19	respectively	respectively	ADV
ajst-8021	60	20	,	,	PUNCT
ajst-8021	60	21	and	and	CCONJ
ajst-8021	60	22	the	the	DET
ajst-8021	60	23	overall	overall	ADJ
ajst-8021	60	24	architectural	architectural	ADJ
ajst-8021	60	25	differences	difference	NOUN
ajst-8021	60	26	between	between	ADP
ajst-8021	60	27	the	the	DET
ajst-8021	60	28	two	two	NUM
ajst-8021	60	29	are	be	AUX
ajst-8021	60	30	shown	show	VERB
ajst-8021	60	31	in	in	ADP
ajst-8021	60	32	figure	figure	NOUN
ajst-8021	60	33	3	3	NUM
ajst-8021	60	34	.	.	PUNCT
ajst-8021	60	35	figure	figure	VERB
ajst-8021	60	36	3	3	NUM
ajst-8021	60	37	main	main	ADJ
ajst-8021	60	38	forms	form	NOUN
ajst-8021	60	39	of	of	ADP
ajst-8021	60	40	channel	channel	NOUN
ajst-8021	60	41	-	-	PUNCT
ajst-8021	60	42	spatial	spatial	NOUN
ajst-8021	60	43	compound	compound	NOUN
ajst-8021	60	44	attention	attention	NOUN
ajst-8021	60	45	2.3	2.3	NUM
ajst-8021	60	46	.	.	PUNCT
ajst-8021	61	1	multi	multi	ADJ
ajst-8021	61	2	-	-	NOUN
ajst-8021	61	3	scale	scale	ADJ
ajst-8021	61	4	/	/	SYM
ajst-8021	61	5	branching	branching	NOUN
ajst-8021	61	6	-	-	PUNCT
ajst-8021	61	7	based	base	VERB
ajst-8021	61	8	attention	attention	NOUN
ajst-8021	61	9	a	a	DET
ajst-8021	61	10	diversified	diversify	VERB
ajst-8021	61	11	operation	operation	NOUN
ajst-8021	61	12	of	of	ADP
ajst-8021	61	13	feature	feature	NOUN
ajst-8021	61	14	extraction	extraction	NOUN
ajst-8021	61	15	is	be	AUX
ajst-8021	61	16	the	the	DET
ajst-8021	61	17	construction	construction	NOUN
ajst-8021	61	18	of	of	ADP
ajst-8021	61	19	parallel	parallel	ADJ
ajst-8021	61	20	multi	multi	ADJ
ajst-8021	61	21	-	-	ADJ
ajst-8021	61	22	branch	branch	ADJ
ajst-8021	61	23	structures	structure	NOUN
ajst-8021	61	24	that	that	PRON
ajst-8021	61	25	focus	focus	VERB
ajst-8021	61	26	on	on	ADP
ajst-8021	61	27	different	different	ADJ
ajst-8021	61	28	contexts	contexts	NOUN
ajst-8021	61	29	,	,	PUNCT
ajst-8021	61	30	which	which	PRON
ajst-8021	61	31	usually	usually	ADV
ajst-8021	61	32	provides	provide	VERB
ajst-8021	61	33	a	a	DET
ajst-8021	61	34	more	more	ADV
ajst-8021	61	35	comprehensive	comprehensive	ADJ
ajst-8021	61	36	understanding	understanding	NOUN
ajst-8021	61	37	of	of	ADP
ajst-8021	61	38	the	the	DET
ajst-8021	61	39	network	network	NOUN
ajst-8021	61	40	and	and	CCONJ
ajst-8021	61	41	enhances	enhance	VERB
ajst-8021	61	42	gradient	gradient	ADJ
ajst-8021	61	43	conduction	conduction	NOUN
ajst-8021	61	44	,	,	PUNCT
ajst-8021	61	45	sk	sk	NOUN
ajst-8021	61	46	-	-	PUNCT
ajst-8021	61	47	net	net	NOUN
ajst-8021	61	48	[	[	X
ajst-8021	61	49	24	24	NUM
ajst-8021	61	50	]	]	PUNCT
ajst-8021	61	51	can	can	AUX
ajst-8021	61	52	also	also	ADV
ajst-8021	61	53	be	be	AUX
ajst-8021	61	54	seen	see	VERB
ajst-8021	61	55	as	as	ADP
ajst-8021	61	56	the	the	DET
ajst-8021	61	57	attention	attention	NOUN
ajst-8021	61	58	of	of	ADP
ajst-8021	61	59	two	two	NUM
ajst-8021	61	60	different	different	ADJ
ajst-8021	61	61	convolutional	convolutional	ADJ
ajst-8021	61	62	kernel	kernel	NOUN
ajst-8021	61	63	branches	branch	NOUN
ajst-8021	61	64	and	and	CCONJ
ajst-8021	61	65	therefore	therefore	ADV
ajst-8021	61	66	can	can	AUX
ajst-8021	61	67	enrich	enrich	VERB
ajst-8021	61	68	the	the	DET
ajst-8021	61	69	representation	representation	NOUN
ajst-8021	61	70	of	of	ADP
ajst-8021	61	71	the	the	DET
ajst-8021	61	72	model	model	NOUN
ajst-8021	61	73	.	.	PUNCT
ajst-8021	62	1	another	another	DET
ajst-8021	62	2	option	option	NOUN
ajst-8021	62	3	is	be	AUX
ajst-8021	62	4	to	to	PART
ajst-8021	62	5	treat	treat	VERB
ajst-8021	62	6	the	the	DET
ajst-8021	62	7	constructed	construct	VERB
ajst-8021	62	8	multi	multi	ADJ
ajst-8021	62	9	-	-	ADJ
ajst-8021	62	10	branch	branch	ADJ
ajst-8021	62	11	results	result	NOUN
ajst-8021	62	12	such	such	ADJ
ajst-8021	62	13	as	as	ADP
ajst-8021	62	14	inception	inception	NOUN
ajst-8021	62	15	[	[	X
ajst-8021	62	16	28	28	NUM
ajst-8021	62	17	,	,	PUNCT
ajst-8021	62	18	29	29	NUM
ajst-8021	62	19	]	]	PUNCT
ajst-8021	62	20	,	,	PUNCT
ajst-8021	62	21	asymmetric	asymmetric	ADJ
ajst-8021	62	22	conv	conv	NOUN
ajst-8021	63	1	[	[	X
ajst-8021	63	2	30	30	NUM
ajst-8021	63	3	]	]	PUNCT
ajst-8021	63	4	,	,	PUNCT
ajst-8021	63	5	or	or	CCONJ
ajst-8021	63	6	aspp	aspp	NOUN
ajst-8021	63	7	[	[	X
ajst-8021	63	8	31	31	NUM
ajst-8021	63	9	]	]	PUNCT
ajst-8021	63	10	modules	module	NOUN
ajst-8021	63	11	discriminatively	discriminatively	ADV
ajst-8021	63	12	in	in	ADP
ajst-8021	63	13	different	different	ADJ
ajst-8021	63	14	branches	branch	NOUN
ajst-8021	63	15	,	,	PUNCT
ajst-8021	63	16	with	with	ADP
ajst-8021	63	17	the	the	DET
ajst-8021	63	18	output	output	NOUN
ajst-8021	63	19	features	feature	NOUN
ajst-8021	63	20	of	of	ADP
ajst-8021	63	21	the	the	DET
ajst-8021	63	22	current	current	ADJ
ajst-8021	63	23	phase	phase	NOUN
ajst-8021	63	24	being	be	AUX
ajst-8021	63	25	generated	generate	VERB
ajst-8021	63	26	by	by	ADP
ajst-8021	63	27	the	the	DET
ajst-8021	63	28	best	good	ADJ
ajst-8021	63	29	branch	branch	NOUN
ajst-8021	63	30	dominated	dominate	VERB
ajst-8021	63	31	by	by	ADP
ajst-8021	63	32	the	the	DET
ajst-8021	63	33	best	good	ADJ
ajst-8021	63	34	branch	branch	NOUN
ajst-8021	63	35	,	,	PUNCT
ajst-8021	63	36	supplemented	supplement	VERB
ajst-8021	63	37	by	by	ADP
ajst-8021	63	38	other	other	ADJ
ajst-8021	63	39	branches	branch	NOUN
ajst-8021	63	40	for	for	ADP
ajst-8021	63	41	joint	joint	ADJ
ajst-8021	63	42	decision	decision	NOUN
ajst-8021	63	43	making	making	NOUN
ajst-8021	63	44	.	.	PUNCT
ajst-8021	64	1	more	more	ADV
ajst-8021	64	2	meaningful	meaningful	ADJ
ajst-8021	64	3	work	work	NOUN
ajst-8021	64	4	is	be	AUX
ajst-8021	64	5	the	the	DET
ajst-8021	64	6	application	application	NOUN
ajst-8021	64	7	of	of	ADP
ajst-8021	64	8	multi	multi	ADJ
ajst-8021	64	9	-	-	ADJ
ajst-8021	64	10	branch	branch	ADJ
ajst-8021	64	11	attention	attention	NOUN
ajst-8021	64	12	to	to	ADP
ajst-8021	64	13	a	a	DET
ajst-8021	64	14	convolutional	convolutional	ADJ
ajst-8021	64	15	extractor	extractor	NOUN
ajst-8021	64	16	,	,	PUNCT
ajst-8021	64	17	which	which	PRON
ajst-8021	64	18	adjusts	adjust	VERB
ajst-8021	64	19	the	the	DET
ajst-8021	64	20	four	four	NUM
ajst-8021	64	21	dimensions	dimension	NOUN
ajst-8021	64	22	of	of	ADP
ajst-8021	64	23	the	the	DET
ajst-8021	64	24	convolutional	convolutional	ADJ
ajst-8021	64	25	kernel	kernel	NOUN
ajst-8021	64	26	to	to	PART
ajst-8021	64	27	find	find	VERB
ajst-8021	64	28	the	the	DET
ajst-8021	64	29	best	good	ADJ
ajst-8021	64	30	pattern	pattern	NOUN
ajst-8021	64	31	-	-	PUNCT
ajst-8021	64	32	matching	match	VERB
ajst-8021	64	33	state	state	NOUN
ajst-8021	64	34	,	,	PUNCT
ajst-8021	64	35	allowing	allow	VERB
ajst-8021	64	36	one	one	NUM
ajst-8021	64	37	operator	operator	NOUN
ajst-8021	64	38	to	to	PART
ajst-8021	64	39	adapt	adapt	VERB
ajst-8021	64	40	to	to	ADP
ajst-8021	64	41	different	different	ADJ
ajst-8021	64	42	feature	feature	NOUN
ajst-8021	64	43	scenarios	scenario	NOUN
ajst-8021	64	44	.	.	PUNCT
ajst-8021	65	1	figure	figure	VERB
ajst-8021	65	2	4	4	NUM
ajst-8021	65	3	displays	display	VERB
ajst-8021	65	4	an	an	DET
ajst-8021	65	5	example	example	NOUN
ajst-8021	65	6	of	of	ADP
ajst-8021	65	7	the	the	DET
ajst-8021	65	8	use	use	NOUN
ajst-8021	65	9	of	of	ADP
ajst-8021	65	10	attention	attention	NOUN
ajst-8021	65	11	-	-	PUNCT
ajst-8021	65	12	guided	guide	VERB
ajst-8021	65	13	multi	multi	ADJ
ajst-8021	65	14	-	-	ADJ
ajst-8021	65	15	branch	branch	ADJ
ajst-8021	65	16	structures	structure	NOUN
ajst-8021	65	17	:	:	PUNCT
ajst-8021	65	18	let	let	VERB
ajst-8021	65	19	l	l	NOUN
ajst-8021	65	20	represent	represent	VERB
ajst-8021	65	21	the	the	DET
ajst-8021	65	22	current	current	ADJ
ajst-8021	65	23	network	network	NOUN
ajst-8021	65	24	layer	layer	NOUN
ajst-8021	65	25	,	,	PUNCT
ajst-8021	65	26	(	(	PUNCT
ajst-8021	65	27	a	a	X
ajst-8021	65	28	)	)	PUNCT
ajst-8021	65	29	this	this	DET
ajst-8021	65	30	process	process	NOUN
ajst-8021	65	31	facilitates	facilitate	VERB
ajst-8021	65	32	the	the	DET
ajst-8021	65	33	input	input	NOUN
ajst-8021	65	34	feature	feature	NOUN
ajst-8021	65	35	map	map	NOUN
ajst-8021	65	36	f_l	f_l	VERB
ajst-8021	65	37	to	to	PART
ajst-8021	65	38	generate	generate	VERB
ajst-8021	65	39	a	a	DET
ajst-8021	65	40	set	set	NOUN
ajst-8021	65	41	of	of	ADP
ajst-8021	65	42	attention	attention	NOUN
ajst-8021	65	43	maps	map	NOUN
ajst-8021	65	44	\left\{a_l^n\in	\left\{a_l^n\in	VERB
ajst-8021	65	45	r^{n\times	r^{n\time	NOUN
ajst-8021	65	46	h\times	h\time	NOUN
ajst-8021	65	47	w}\middle|	w}\middle|	PART
ajst-8021	65	48	n=1,2,\cdots	n=1,2,\cdot	NOUN
ajst-8021	65	49	,	,	PUNCT
ajst-8021	65	50	n\right\}，where	n\right\}，where	ADV
ajst-8021	65	51	n	n	NOUN
ajst-8021	65	52	is	be	AUX
ajst-8021	65	53	equal	equal	ADJ
ajst-8021	65	54	to	to	ADP
ajst-8021	65	55	the	the	DET
ajst-8021	65	56	total	total	ADJ
ajst-8021	65	57	number	number	NOUN
ajst-8021	65	58	of	of	ADP
ajst-8021	65	59	the	the	DET
ajst-8021	65	60	multi	multi	ADJ
ajst-8021	65	61	-	-	ADJ
ajst-8021	65	62	scale	scale	ADJ
ajst-8021	65	63	extraction	extraction	NOUN
ajst-8021	65	64	process	process	NOUN
ajst-8021	65	65	(	(	PUNCT
ajst-8021	65	66	b	b	NOUN
ajst-8021	65	67	)	)	PUNCT
ajst-8021	65	68	.	.	PUNCT
ajst-8021	66	1	then	then	ADV
ajst-8021	66	2	,	,	PUNCT
ajst-8021	66	3	the	the	DET
ajst-8021	66	4	mathematical	mathematical	ADJ
ajst-8021	66	5	logic	logic	NOUN
ajst-8021	66	6	of	of	ADP
ajst-8021	66	7	multi	multi	ADJ
ajst-8021	66	8	-	-	NOUN
ajst-8021	66	9	scale	scale	ADJ
ajst-8021	66	10	/	/	SYM
ajst-8021	66	11	branching	branch	VERB
ajst-8021	66	12	attention	attention	NOUN
ajst-8021	66	13	fraction	fraction	NOUN
ajst-8021	66	14	calculation	calculation	NOUN
ajst-8021	66	15	can	can	AUX
ajst-8021	66	16	be	be	AUX
ajst-8021	66	17	expressed	express	VERB
ajst-8021	66	18	as	as	ADP
ajst-8021	66	19	:	:	PUNCT
ajst-8021	66	20	𝐴	𝐴	PROPN
ajst-8021	66	21	𝜏	𝜏	PROPN
ajst-8021	66	22	conv	conv	PROPN
ajst-8021	66	23	relu	relu	PROPN
ajst-8021	66	24	conv	conv	PROPN
ajst-8021	66	25	𝐹	𝐹	PROPN
ajst-8021	66	26	(	(	PUNCT
ajst-8021	66	27	1	1	NUM
ajst-8021	66	28	)	)	PUNCT
ajst-8021	66	29	in	in	ADP
ajst-8021	66	30	the	the	DET
ajst-8021	66	31	above	above	ADJ
ajst-8021	66	32	equation	equation	NOUN
ajst-8021	66	33	,	,	PUNCT
ajst-8021	66	34	the	the	DET
ajst-8021	66	35	first	first	ADJ
ajst-8021	66	36	convolution	convolution	NOUN
ajst-8021	66	37	layer	layer	NOUN
ajst-8021	66	38	halves	halve	VERB
ajst-8021	66	39	the	the	DET
ajst-8021	66	40	number	number	NOUN
ajst-8021	66	41	of	of	ADP
ajst-8021	66	42	channels	channel	NOUN
ajst-8021	66	43	and	and	CCONJ
ajst-8021	66	44	is	be	AUX
ajst-8021	66	45	used	use	VERB
ajst-8021	66	46	to	to	PART
ajst-8021	66	47	reduce	reduce	VERB
ajst-8021	66	48	the	the	DET
ajst-8021	66	49	computational	computational	ADJ
ajst-8021	66	50	effort	effort	NOUN
ajst-8021	66	51	;	;	PUNCT
ajst-8021	66	52	the	the	DET
ajst-8021	66	53	second	second	ADJ
ajst-8021	66	54	convolution	convolution	NOUN
ajst-8021	66	55	aims	aim	VERB
ajst-8021	66	56	to	to	PART
ajst-8021	66	57	match	match	VERB
ajst-8021	66	58	the	the	DET
ajst-8021	66	59	final	final	ADJ
ajst-8021	66	60	number	number	NOUN
ajst-8021	66	61	of	of	ADP
ajst-8021	66	62	channels	channel	NOUN
ajst-8021	66	63	to	to	ADP
ajst-8021	66	64	𝑁	𝑁	PROPN
ajst-8021	66	65	.	.	PUNCT
ajst-8021	67	1	the	the	DET
ajst-8021	67	2	function	function	NOUN
ajst-8021	67	3	τ	τ	PROPN
ajst-8021	67	4	∙	∙	PROPN
ajst-8021	67	5	is	be	AUX
ajst-8021	67	6	an	an	DET
ajst-8021	67	7	element	element	ADJ
ajst-8021	67	8	-	-	PUNCT
ajst-8021	67	9	level	level	NOUN
ajst-8021	67	10	softmax	softmax	NOUN
ajst-8021	67	11	function	function	NOUN
ajst-8021	67	12	that	that	PRON
ajst-8021	67	13	limits	limit	VERB
ajst-8021	67	14	the	the	DET
ajst-8021	67	15	sum	sum	NOUN
ajst-8021	67	16	value	value	NOUN
ajst-8021	67	17	of	of	ADP
ajst-8021	67	18	the	the	DET
ajst-8021	67	19	feature	feature	NOUN
ajst-8021	67	20	at	at	ADP
ajst-8021	67	21	each	each	PRON
ajst-8021	67	22	of	of	ADP
ajst-8021	67	23	the	the	DET
ajst-8021	67	24	same	same	ADJ
ajst-8021	67	25	positions	position	NOUN
ajst-8021	67	26	in	in	ADP
ajst-8021	67	27	channels	channel	NOUN
ajst-8021	67	28	dimension	dimension	VERB
ajst-8021	67	29	to	to	ADP
ajst-8021	67	30	1	1	NUM
ajst-8021	67	31	.	.	PUNCT
ajst-8021	68	1	in	in	ADP
ajst-8021	68	2	this	this	DET
ajst-8021	68	3	way	way	NOUN
ajst-8021	68	4	,	,	PUNCT
ajst-8021	68	5	the	the	DET
ajst-8021	68	6	distribution	distribution	NOUN
ajst-8021	68	7	of	of	ADP
ajst-8021	68	8	inputs	input	NOUN
ajst-8021	68	9	and	and	CCONJ
ajst-8021	68	10	outputs	output	NOUN
ajst-8021	68	11	is	be	AUX
ajst-8021	68	12	normalized	normalize	VERB
ajst-8021	68	13	to	to	ADP
ajst-8021	68	14	some	some	DET
ajst-8021	68	15	extent	extent	NOUN
ajst-8021	68	16	.	.	PUNCT
ajst-8021	69	1	in	in	ADP
ajst-8021	69	2	the	the	DET
ajst-8021	69	3	process	process	NOUN
ajst-8021	69	4	of	of	ADP
ajst-8021	69	5	(	(	PUNCT
ajst-8021	69	6	b	b	NOUN
ajst-8021	69	7	)	)	PUNCT
ajst-8021	69	8	,	,	PUNCT
ajst-8021	69	9	there	there	PRON
ajst-8021	69	10	are	be	VERB
ajst-8021	69	11	a	a	DET
ajst-8021	69	12	total	total	NOUN
ajst-8021	69	13	of	of	ADP
ajst-8021	69	14	𝑁	𝑁	PROPN
ajst-8021	69	15	different	different	ADJ
ajst-8021	69	16	branches	branch	NOUN
ajst-8021	69	17	processing	process	VERB
ajst-8021	69	18	the	the	DET
ajst-8021	69	19	contextual	contextual	ADJ
ajst-8021	69	20	information	information	NOUN
ajst-8021	69	21	,	,	PUNCT
ajst-8021	69	22	and	and	CCONJ
ajst-8021	69	23	the	the	DET
ajst-8021	69	24	set	set	NOUN
ajst-8021	69	25	of	of	ADP
ajst-8021	69	26	branch	branch	NOUN
ajst-8021	69	27	feature	feature	NOUN
ajst-8021	69	28	maps	map	NOUN
ajst-8021	69	29	produced	produce	VERB
ajst-8021	69	30	is	be	AUX
ajst-8021	69	31	𝐹	𝐹	PROPN
ajst-8021	69	32	|𝑛	|𝑛	X
ajst-8021	69	33	1,2	1,2	NUM
ajst-8021	69	34	,	,	PUNCT
ajst-8021	69	35	⋯	⋯	VERB
ajst-8021	69	36	,	,	PUNCT
ajst-8021	69	37	𝑁	𝑁	PROPN
ajst-8021	69	38	.	.	PUNCT
ajst-8021	70	1	in	in	ADP
ajst-8021	70	2	this	this	DET
ajst-8021	70	3	process	process	NOUN
ajst-8021	70	4	,	,	PUNCT
ajst-8021	70	5	the	the	DET
ajst-8021	70	6	attention	attention	NOUN
ajst-8021	70	7	graph	graph	NOUN
ajst-8021	70	8	𝐴	𝐴	PROPN
ajst-8021	70	9	for	for	ADP
ajst-8021	70	10	each	each	DET
ajst-8021	70	11	channel	channel	NOUN
ajst-8021	70	12	uses	use	VERB
ajst-8021	70	13	the	the	DET
ajst-8021	70	14	broadcast	broadcast	NOUN
ajst-8021	70	15	mechanism	mechanism	NOUN
ajst-8021	70	16	,	,	PUNCT
ajst-8021	70	17	which	which	PRON
ajst-8021	70	18	firstly	firstly	ADV
ajst-8021	70	19	performs	perform	VERB
ajst-8021	70	20	element	element	ADJ
ajst-8021	70	21	-	-	ADJ
ajst-8021	70	22	wise	wise	ADJ
ajst-8021	70	23	multiplication	multiplication	NOUN
ajst-8021	70	24	with	with	ADP
ajst-8021	70	25	𝐹	𝐹	PROPN
ajst-8021	70	26	separately	separately	ADV
ajst-8021	70	27	,	,	PUNCT
ajst-8021	70	28	and	and	CCONJ
ajst-8021	70	29	then	then	ADV
ajst-8021	70	30	performs	perform	VERB
ajst-8021	70	31	addition	addition	NOUN
ajst-8021	70	32	to	to	PART
ajst-8021	70	33	obtain	obtain	VERB
ajst-8021	70	34	the	the	DET
ajst-8021	70	35	input	input	NOUN
ajst-8021	70	36	𝐹	𝐹	PROPN
ajst-8021	70	37	at	at	ADP
ajst-8021	70	38	level	level	NOUN
ajst-8021	70	39	𝑙	𝑙	PRON
ajst-8021	70	40	1	1	NUM
ajst-8021	70	41	.	.	PUNCT
ajst-8021	71	1	the	the	DET
ajst-8021	71	2	process	process	NOUN
ajst-8021	71	3	can	can	AUX
ajst-8021	71	4	be	be	AUX
ajst-8021	71	5	described	describe	VERB
ajst-8021	71	6	by	by	ADP
ajst-8021	71	7	the	the	DET
ajst-8021	71	8	following	follow	VERB
ajst-8021	71	9	equation	equation	NOUN
ajst-8021	71	10	:	:	PUNCT
ajst-8021	71	11	𝐹	𝐹	PROPN
ajst-8021	71	12	∑	∑	PROPN
ajst-8021	71	13	𝐴	𝐴	PROPN
ajst-8021	71	14	⊙	⊙	NOUN
ajst-8021	71	15	𝐹	𝐹	PROPN
ajst-8021	71	16	(	(	PUNCT
ajst-8021	71	17	2	2	NUM
ajst-8021	71	18	)	)	PUNCT
ajst-8021	71	19	240	240	NUM
ajst-8021	71	20	figure	figure	NOUN
ajst-8021	71	21	4	4	NUM
ajst-8021	71	22	attention	attention	NOUN
ajst-8021	71	23	on	on	ADP
ajst-8021	71	24	multiple	multiple	ADJ
ajst-8021	71	25	scales	scale	NOUN
ajst-8021	71	26	/	/	SYM
ajst-8021	71	27	branches	branch	NOUN
ajst-8021	71	28	2.4	2.4	NUM
ajst-8021	71	29	.	.	PUNCT
ajst-8021	71	30	self	self	NOUN
ajst-8021	71	31	-	-	PUNCT
ajst-8021	71	32	similarity	similarity	NOUN
ajst-8021	71	33	attention	attention	NOUN
ajst-8021	71	34	the	the	DET
ajst-8021	71	35	bottleneck	bottleneck	NOUN
ajst-8021	71	36	of	of	ADP
ajst-8021	71	37	the	the	DET
ajst-8021	71	38	above	above	ADJ
ajst-8021	71	39	method	method	NOUN
ajst-8021	71	40	is	be	AUX
ajst-8021	71	41	that	that	SCONJ
ajst-8021	71	42	the	the	DET
ajst-8021	71	43	attention	attention	NOUN
ajst-8021	71	44	map	map	NOUN
ajst-8021	71	45	of	of	ADP
ajst-8021	71	46	each	each	DET
ajst-8021	71	47	pixel	pixel	NOUN
ajst-8021	71	48	needs	need	VERB
ajst-8021	71	49	to	to	PART
ajst-8021	71	50	be	be	AUX
ajst-8021	71	51	computed	compute	VERB
ajst-8021	71	52	for	for	ADP
ajst-8021	71	53	the	the	DET
ajst-8021	71	54	full	full	ADJ
ajst-8021	71	55	map	map	NOUN
ajst-8021	71	56	.	.	PUNCT
ajst-8021	72	1	although	although	SCONJ
ajst-8021	72	2	the	the	DET
ajst-8021	72	3	1	1	NUM
ajst-8021	72	4	1	1	NUM
ajst-8021	72	5	convolution	convolution	NOUN
ajst-8021	72	6	operation	operation	NOUN
ajst-8021	72	7	is	be	AUX
ajst-8021	72	8	utilized	utilize	VERB
ajst-8021	72	9	in	in	ADP
ajst-8021	72	10	nl	nl	PROPN
ajst-8021	72	11	to	to	PART
ajst-8021	72	12	compress	compress	VERB
ajst-8021	72	13	the	the	DET
ajst-8021	72	14	dimensionality	dimensionality	NOUN
ajst-8021	72	15	of	of	ADP
ajst-8021	72	16	the	the	DET
ajst-8021	72	17	feature	feature	NOUN
ajst-8021	72	18	map	map	NOUN
ajst-8021	72	19	,	,	PUNCT
ajst-8021	72	20	this	this	DET
ajst-8021	72	21	global	global	ADJ
ajst-8021	72	22	pixel	pixel	PROPN
ajst-8021	72	23	-	-	PUNCT
ajst-8021	72	24	to	to	ADP
ajst-8021	72	25	-	-	PUNCT
ajst-8021	72	26	pixel	pixel	NOUN
ajst-8021	72	27	(	(	PUNCT
ajst-8021	72	28	pixel	pixel	PROPN
ajst-8021	72	29	-	-	PUNCT
ajst-8021	72	30	to	to	ADP
ajst-8021	72	31	-	-	PUNCT
ajst-8021	72	32	pixel	pixel	NOUN
ajst-8021	72	33	)	)	PUNCT
ajst-8021	72	34	based	base	VERB
ajst-8021	72	35	modeling	modeling	NOUN
ajst-8021	72	36	approach	approach	NOUN
ajst-8021	72	37	is	be	AUX
ajst-8021	72	38	computationally	computationally	ADV
ajst-8021	72	39	huge	huge	ADJ
ajst-8021	72	40	.	.	PUNCT
ajst-8021	73	1	the	the	DET
ajst-8021	73	2	literature	literature	NOUN
ajst-8021	73	3	converts	convert	VERB
ajst-8021	73	4	the	the	DET
ajst-8021	73	5	original	original	ADJ
ajst-8021	73	6	global	global	ADJ
ajst-8021	73	7	interaction	interaction	NOUN
ajst-8021	73	8	between	between	ADP
ajst-8021	73	9	self	self	NOUN
ajst-8021	73	10	-	-	PUNCT
ajst-8021	73	11	attentive	attentive	ADJ
ajst-8021	73	12	point	point	NOUN
ajst-8021	73	13	-	-	PUNCT
ajst-8021	73	14	to	to	ADP
ajst-8021	73	15	-	-	PUNCT
ajst-8021	73	16	graphs	graph	NOUN
ajst-8021	73	17	to	to	PART
ajst-8021	73	18	point	point	VERB
ajst-8021	73	19	-	-	PUNCT
ajst-8021	73	20	to	to	ADP
ajst-8021	73	21	-	-	PUNCT
ajst-8021	73	22	pyramid	pyramid	NOUN
ajst-8021	73	23	pooling	pool	VERB
ajst-8021	73	24	features	feature	NOUN
ajst-8021	73	25	,	,	PUNCT
ajst-8021	73	26	thus	thus	ADV
ajst-8021	73	27	reducing	reduce	VERB
ajst-8021	73	28	the	the	DET
ajst-8021	73	29	computational	computational	ADJ
ajst-8021	73	30	complexity	complexity	NOUN
ajst-8021	73	31	and	and	CCONJ
ajst-8021	73	32	the	the	DET
ajst-8021	73	33	number	number	NOUN
ajst-8021	73	34	of	of	ADP
ajst-8021	73	35	model	model	NOUN
ajst-8021	73	36	parameters	parameter	NOUN
ajst-8021	73	37	on	on	ADP
ajst-8021	73	38	matmul	matmul	PROPN
ajst-8021	73	39	and	and	CCONJ
ajst-8021	73	40	softmax	softmax	NOUN
ajst-8021	73	41	operations	operation	NOUN
ajst-8021	73	42	while	while	SCONJ
ajst-8021	73	43	having	have	VERB
ajst-8021	73	44	a	a	DET
ajst-8021	73	45	multi	multi	ADJ
ajst-8021	73	46	-	-	ADJ
ajst-8021	73	47	scale	scale	ADJ
ajst-8021	73	48	interaction	interaction	NOUN
ajst-8021	73	49	structure	structure	NOUN
ajst-8021	73	50	.	.	PUNCT
ajst-8021	74	1	the	the	DET
ajst-8021	74	2	literature	literature	NOUN
ajst-8021	74	3	[	[	X
ajst-8021	74	4	32	32	NUM
ajst-8021	74	5	]	]	PUNCT
ajst-8021	74	6	decomposes	decompose	VERB
ajst-8021	74	7	the	the	DET
ajst-8021	74	8	global	global	ADJ
ajst-8021	74	9	interaction	interaction	NOUN
ajst-8021	74	10	in	in	ADP
ajst-8021	74	11	the	the	DET
ajst-8021	74	12	spatial	spatial	ADJ
ajst-8021	74	13	dimension	dimension	NOUN
ajst-8021	74	14	and	and	CCONJ
ajst-8021	74	15	indirectly	indirectly	ADV
ajst-8021	74	16	implements	implement	VERB
ajst-8021	74	17	equivalent	equivalent	ADJ
ajst-8021	74	18	global	global	ADJ
ajst-8021	74	19	interactions	interaction	NOUN
ajst-8021	74	20	by	by	ADP
ajst-8021	74	21	alternating	alternate	VERB
ajst-8021	74	22	the	the	DET
ajst-8021	74	23	execution	execution	NOUN
ajst-8021	74	24	of	of	ADP
ajst-8021	74	25	vertical	vertical	ADJ
ajst-8021	74	26	and	and	CCONJ
ajst-8021	74	27	horizontal	horizontal	ADJ
ajst-8021	74	28	interactions	interaction	NOUN
ajst-8021	74	29	.	.	PUNCT
ajst-8021	75	1	cc	cc	NOUN
ajst-8021	75	2	-	-	NOUN
ajst-8021	75	3	net	net	NOUN
ajst-8021	75	4	[	[	X
ajst-8021	75	5	33	33	NUM
ajst-8021	75	6	]	]	PUNCT
ajst-8021	75	7	associates	associate	NOUN
ajst-8021	75	8	the	the	DET
ajst-8021	75	9	pixel	pixel	PROPN
ajst-8021	75	10	points	point	NOUN
ajst-8021	75	11	of	of	ADP
ajst-8021	75	12	interest	interest	NOUN
ajst-8021	75	13	with	with	ADP
ajst-8021	75	14	the	the	DET
ajst-8021	75	15	row	row	NOUN
ajst-8021	75	16	and	and	CCONJ
ajst-8021	75	17	column	column	NOUN
ajst-8021	75	18	pixels	pixel	NOUN
ajst-8021	75	19	in	in	ADP
ajst-8021	75	20	which	which	PRON
ajst-8021	75	21	they	they	PRON
ajst-8021	75	22	are	be	AUX
ajst-8021	75	23	located	locate	VERB
ajst-8021	75	24	one	one	NUM
ajst-8021	75	25	by	by	ADP
ajst-8021	75	26	one	one	NUM
ajst-8021	75	27	,	,	PUNCT
ajst-8021	75	28	and	and	CCONJ
ajst-8021	75	29	only	only	ADV
ajst-8021	75	30	two	two	NUM
ajst-8021	75	31	consecutive	consecutive	ADJ
ajst-8021	75	32	layers	layer	NOUN
ajst-8021	75	33	of	of	ADP
ajst-8021	75	34	crossattention	crossattention	NOUN
ajst-8021	75	35	are	be	AUX
ajst-8021	75	36	stacked	stack	VERB
ajst-8021	75	37	when	when	SCONJ
ajst-8021	75	38	the	the	DET
ajst-8021	75	39	pixel	pixel	PROPN
ajst-8021	75	40	points	point	VERB
ajst-8021	75	41	to	to	PART
ajst-8021	75	42	be	be	AUX
ajst-8021	75	43	interacted	interact	VERB
ajst-8021	75	44	with	with	ADP
ajst-8021	75	45	are	be	AUX
ajst-8021	75	46	not	not	PART
ajst-8021	75	47	directly	directly	ADV
ajst-8021	75	48	associated	associate	VERB
ajst-8021	75	49	.	.	PUNCT
ajst-8021	76	1	the	the	DET
ajst-8021	76	2	dimensional	dimensional	ADJ
ajst-8021	76	3	decomposition	decomposition	NOUN
ajst-8021	76	4	scheme	scheme	NOUN
ajst-8021	76	5	reduces	reduce	VERB
ajst-8021	76	6	the	the	DET
ajst-8021	76	7	computation	computation	NOUN
ajst-8021	76	8	of	of	ADP
ajst-8021	76	9	selfattention	selfattention	NOUN
ajst-8021	76	10	by	by	ADP
ajst-8021	76	11	1~2	1~2	NUM
ajst-8021	76	12	orders	order	NOUN
ajst-8021	76	13	of	of	ADP
ajst-8021	76	14	magnitude	magnitude	NOUN
ajst-8021	76	15	and	and	CCONJ
ajst-8021	76	16	improves	improve	VERB
ajst-8021	76	17	execution	execution	NOUN
ajst-8021	76	18	efficiency	efficiency	NOUN
ajst-8021	76	19	.	.	PUNCT
ajst-8021	77	1	directly	directly	ADV
ajst-8021	77	2	acquiring	acquire	VERB
ajst-8021	77	3	global	global	ADJ
ajst-8021	77	4	connections	connection	NOUN
ajst-8021	77	5	is	be	AUX
ajst-8021	77	6	not	not	PART
ajst-8021	77	7	an	an	DET
ajst-8021	77	8	optimal	optimal	ADJ
ajst-8021	77	9	solution	solution	NOUN
ajst-8021	77	10	and	and	CCONJ
ajst-8021	77	11	is	be	AUX
ajst-8021	77	12	prone	prone	ADJ
ajst-8021	77	13	to	to	ADP
ajst-8021	77	14	computational	computational	ADJ
ajst-8021	77	15	overload	overload	NOUN
ajst-8021	77	16	.	.	PUNCT
ajst-8021	78	1	the	the	DET
ajst-8021	78	2	literature	literature	NOUN
ajst-8021	78	3	[	[	X
ajst-8021	78	4	34	34	NUM
ajst-8021	78	5	]	]	PUNCT
ajst-8021	78	6	rearranges	rearrange	VERB
ajst-8021	78	7	the	the	DET
ajst-8021	78	8	spatial	spatial	ADJ
ajst-8021	78	9	locations	location	NOUN
ajst-8021	78	10	and	and	CCONJ
ajst-8021	78	11	constructs	construct	VERB
ajst-8021	78	12	a	a	DET
ajst-8021	78	13	two	two	NUM
ajst-8021	78	14	-	-	PUNCT
ajst-8021	78	15	step	step	NOUN
ajst-8021	78	16	scheme	scheme	NOUN
ajst-8021	78	17	for	for	ADP
ajst-8021	78	18	long	long	ADJ
ajst-8021	78	19	-	-	PUNCT
ajst-8021	78	20	range	range	NOUN
ajst-8021	78	21	selfattention	selfattention	NOUN
ajst-8021	78	22	and	and	CCONJ
ajst-8021	78	23	short	short	ADJ
ajst-8021	78	24	-	-	PUNCT
ajst-8021	78	25	range	range	NOUN
ajst-8021	78	26	self	self	NOUN
ajst-8021	78	27	-	-	PUNCT
ajst-8021	78	28	attention	attention	NOUN
ajst-8021	78	29	,	,	PUNCT
ajst-8021	78	30	and	and	CCONJ
ajst-8021	78	31	the	the	DET
ajst-8021	78	32	relationship	relationship	NOUN
ajst-8021	78	33	between	between	ADP
ajst-8021	78	34	any	any	DET
ajst-8021	78	35	two	two	NUM
ajst-8021	78	36	locations	location	NOUN
ajst-8021	78	37	can	can	AUX
ajst-8021	78	38	be	be	AUX
ajst-8021	78	39	captured	capture	VERB
ajst-8021	78	40	by	by	ADP
ajst-8021	78	41	the	the	DET
ajst-8021	78	42	tandem	tandem	NOUN
ajst-8021	78	43	execution	execution	NOUN
ajst-8021	78	44	of	of	ADP
ajst-8021	78	45	both	both	PRON
ajst-8021	78	46	.	.	PUNCT
ajst-8021	79	1	unlike	unlike	ADP
ajst-8021	79	2	the	the	DET
ajst-8021	79	3	channeland	channeland	NOUN
ajst-8021	79	4	space	space	NOUN
ajst-8021	79	5	-	-	PUNCT
ajst-8021	79	6	based	base	VERB
ajst-8021	79	7	mechanisms	mechanism	NOUN
ajst-8021	79	8	,	,	PUNCT
ajst-8021	79	9	inspired	inspire	VERB
ajst-8021	79	10	by	by	ADP
ajst-8021	79	11	convolutional	convolutional	ADJ
ajst-8021	79	12	locality	locality	NOUN
ajst-8021	79	13	,	,	PUNCT
ajst-8021	79	14	the	the	DET
ajst-8021	79	15	literature	literature	NOUN
ajst-8021	79	16	[	[	X
ajst-8021	79	17	35	35	NUM
ajst-8021	79	18	]	]	PUNCT
ajst-8021	79	19	proposed	propose	VERB
ajst-8021	79	20	a	a	DET
ajst-8021	79	21	local	local	ADJ
ajst-8021	79	22	content	content	NOUN
ajst-8021	79	23	-	-	PUNCT
ajst-8021	79	24	based	base	VERB
ajst-8021	79	25	self	self	NOUN
ajst-8021	79	26	-	-	PUNCT
ajst-8021	79	27	attentive	attentive	ADJ
ajst-8021	79	28	mechanism	mechanism	NOUN
ajst-8021	79	29	,	,	PUNCT
ajst-8021	79	30	which	which	PRON
ajst-8021	79	31	makes	make	VERB
ajst-8021	79	32	the	the	DET
ajst-8021	79	33	number	number	NOUN
ajst-8021	79	34	of	of	ADP
ajst-8021	79	35	self	self	NOUN
ajst-8021	79	36	-	-	PUNCT
ajst-8021	79	37	attentive	attentive	ADJ
ajst-8021	79	38	parameters	parameter	NOUN
ajst-8021	79	39	independent	independent	ADJ
ajst-8021	79	40	of	of	ADP
ajst-8021	79	41	the	the	DET
ajst-8021	79	42	perceptual	perceptual	ADJ
ajst-8021	79	43	field	field	NOUN
ajst-8021	79	44	size	size	NOUN
ajst-8021	79	45	,	,	PUNCT
ajst-8021	79	46	and	and	CCONJ
ajst-8021	79	47	the	the	DET
ajst-8021	79	48	number	number	NOUN
ajst-8021	79	49	of	of	ADP
ajst-8021	79	50	operations	operation	NOUN
ajst-8021	79	51	is	be	AUX
ajst-8021	79	52	greatly	greatly	ADV
ajst-8021	79	53	reduced	reduce	VERB
ajst-8021	79	54	.	.	PUNCT
ajst-8021	80	1	in	in	ADP
ajst-8021	80	2	the	the	DET
ajst-8021	80	3	literature	literature	NOUN
ajst-8021	80	4	[	[	X
ajst-8021	80	5	36	36	NUM
ajst-8021	80	6	]	]	PUNCT
ajst-8021	80	7	,	,	PUNCT
ajst-8021	80	8	the	the	DET
ajst-8021	80	9	expectation	expectation	NOUN
ajst-8021	80	10	-	-	PUNCT
ajst-8021	80	11	maximization	maximization	NOUN
ajst-8021	80	12	(	(	PUNCT
ajst-8021	80	13	em	em	PRON
ajst-8021	80	14	)	)	PUNCT
ajst-8021	80	15	algorithm	algorithm	NOUN
ajst-8021	80	16	was	be	AUX
ajst-8021	80	17	introduced	introduce	VERB
ajst-8021	80	18	into	into	ADP
ajst-8021	80	19	the	the	DET
ajst-8021	80	20	attentional	attentional	ADJ
ajst-8021	80	21	graph	graph	NOUN
ajst-8021	80	22	to	to	PART
ajst-8021	80	23	solve	solve	VERB
ajst-8021	80	24	the	the	DET
ajst-8021	80	25	computationally	computationally	ADV
ajst-8021	80	26	intensive	intensive	ADJ
ajst-8021	80	27	problem	problem	NOUN
ajst-8021	80	28	of	of	ADP
ajst-8021	80	29	non	non	ADJ
ajst-8021	80	30	-	-	ADJ
ajst-8021	80	31	local	local	ADJ
ajst-8021	80	32	operations	operation	NOUN
ajst-8021	80	33	by	by	ADP
ajst-8021	80	34	iteratively	iteratively	ADV
ajst-8021	80	35	solving	solve	VERB
ajst-8021	80	36	a	a	DET
ajst-8021	80	37	compact	compact	ADJ
ajst-8021	80	38	set	set	NOUN
ajst-8021	80	39	of	of	ADP
ajst-8021	80	40	basic	basic	ADJ
ajst-8021	80	41	features	feature	NOUN
ajst-8021	80	42	and	and	CCONJ
ajst-8021	80	43	modeling	model	VERB
ajst-8021	80	44	the	the	DET
ajst-8021	80	45	interpixel	interpixel	ADJ
ajst-8021	80	46	connections	connection	NOUN
ajst-8021	80	47	in	in	ADP
ajst-8021	80	48	low	low	ADJ
ajst-8021	80	49	-	-	PUNCT
ajst-8021	80	50	latitude	latitude	NOUN
ajst-8021	80	51	manifolds	manifold	NOUN
ajst-8021	80	52	.	.	PUNCT
ajst-8021	81	1	this	this	DET
ajst-8021	81	2	scheme	scheme	NOUN
ajst-8021	81	3	reduces	reduce	VERB
ajst-8021	81	4	intra	intra	ADJ
ajst-8021	81	5	-	-	ADJ
ajst-8021	81	6	class	class	ADJ
ajst-8021	81	7	variation	variation	NOUN
ajst-8021	81	8	while	while	SCONJ
ajst-8021	81	9	maintaining	maintain	VERB
ajst-8021	81	10	inter	inter	ADJ
ajst-8021	81	11	-	-	ADJ
ajst-8021	81	12	class	class	ADJ
ajst-8021	81	13	variation	variation	NOUN
ajst-8021	81	14	.	.	PUNCT
ajst-8021	82	1	2.5	2.5	NUM
ajst-8021	82	2	.	.	PUNCT
ajst-8021	83	1	other	other	ADJ
ajst-8021	83	2	attention	attention	NOUN
ajst-8021	83	3	in	in	ADP
ajst-8021	83	4	addition	addition	NOUN
ajst-8021	83	5	,	,	PUNCT
ajst-8021	83	6	there	there	PRON
ajst-8021	83	7	are	be	VERB
ajst-8021	83	8	attention	attention	NOUN
ajst-8021	83	9	mechanisms	mechanism	NOUN
ajst-8021	83	10	designed	design	VERB
ajst-8021	83	11	by	by	ADP
ajst-8021	83	12	focusing	focus	VERB
ajst-8021	83	13	on	on	ADP
ajst-8021	83	14	other	other	ADJ
ajst-8021	83	15	perspectives	perspective	NOUN
ajst-8021	83	16	,	,	PUNCT
ajst-8021	83	17	such	such	ADJ
ajst-8021	83	18	as	as	ADP
ajst-8021	83	19	frequency	frequency	NOUN
ajst-8021	83	20	domain	domain	NOUN
ajst-8021	83	21	attention	attention	NOUN
ajst-8021	83	22	,	,	PUNCT
ajst-8021	83	23	category	category	NOUN
ajst-8021	83	24	attention	attention	NOUN
ajst-8021	83	25	,	,	PUNCT
ajst-8021	83	26	temporal	temporal	ADJ
ajst-8021	83	27	attention	attention	NOUN
ajst-8021	83	28	,	,	PUNCT
ajst-8021	83	29	and	and	CCONJ
ajst-8021	83	30	recent	recent	ADJ
ajst-8021	83	31	works	work	NOUN
ajst-8021	83	32	in	in	ADP
ajst-8021	83	33	this	this	DET
ajst-8021	83	34	area	area	NOUN
ajst-8021	83	35	include	include	VERB
ajst-8021	83	36	fcanet	fcanet	NOUN
ajst-8021	83	37	[	[	X
ajst-8021	83	38	37	37	NUM
ajst-8021	83	39	]	]	PUNCT
ajst-8021	83	40	,	,	PUNCT
ajst-8021	83	41	iau	iau	PROPN
ajst-8021	83	42	-	-	NOUN
ajst-8021	83	43	net	net	NOUN
ajst-8021	83	44	[	[	X
ajst-8021	83	45	38	38	NUM
ajst-8021	83	46	]	]	PUNCT
ajst-8021	83	47	,	,	PUNCT
ajst-8021	83	48	and	and	CCONJ
ajst-8021	83	49	ocr	ocr	NOUN
ajst-8021	83	50	-	-	ADJ
ajst-8021	83	51	net	net	NOUN
ajst-8021	83	52	[	[	X
ajst-8021	83	53	39	39	NUM
ajst-8021	83	54	]	]	PUNCT
ajst-8021	83	55	,	,	PUNCT
ajst-8021	83	56	respectively	respectively	ADV
ajst-8021	83	57	.	.	PUNCT
ajst-8021	83	58	table	table	NOUN
ajst-8021	83	59	1	1	NUM
ajst-8021	83	60	shows	show	VERB
ajst-8021	83	61	the	the	DET
ajst-8021	83	62	classification	classification	NOUN
ajst-8021	83	63	and	and	CCONJ
ajst-8021	83	64	representative	representative	ADJ
ajst-8021	83	65	works	work	NOUN
ajst-8021	83	66	of	of	ADP
ajst-8021	83	67	attentional	attentional	ADJ
ajst-8021	83	68	mechanisms	mechanism	NOUN
ajst-8021	83	69	.	.	PUNCT
ajst-8021	84	1	table	table	NOUN
ajst-8021	84	2	1	1	NUM
ajst-8021	84	3	.	.	PUNCT
ajst-8021	85	1	classification	classification	NOUN
ajst-8021	85	2	table	table	NOUN
ajst-8021	85	3	of	of	ADP
ajst-8021	85	4	attentional	attentional	ADJ
ajst-8021	85	5	mechanisms	mechanism	NOUN
ajst-8021	85	6	class	class	NOUN
ajst-8021	85	7	type	type	NOUN
ajst-8021	85	8	conventional	conventional	ADJ
ajst-8021	85	9	attention	attention	NOUN
ajst-8021	85	10	channel	channel	NOUN
ajst-8021	85	11	-	-	PUNCT
ajst-8021	85	12	dimension	dimension	NOUN
ajst-8021	85	13	attention	attention	NOUN
ajst-8021	85	14	,	,	PUNCT
ajst-8021	85	15	spatial	spatial	ADJ
ajst-8021	85	16	-	-	PUNCT
ajst-8021	85	17	dimension	dimension	NOUN
ajst-8021	85	18	attention	attention	NOUN
ajst-8021	85	19	,	,	PUNCT
ajst-8021	85	20	dualdimension	dualdimension	NOUN
ajst-8021	85	21	attention	attention	NOUN
ajst-8021	85	22	,	,	PUNCT
ajst-8021	85	23	etc	etc	X
ajst-8021	85	24	.	.	X
ajst-8021	85	25	self	self	NOUN
ajst-8021	85	26	-	-	PUNCT
ajst-8021	85	27	similarity	similarity	NOUN
ajst-8021	85	28	attention	attention	NOUN
ajst-8021	85	29	unidimensional	unidimensional	ADJ
ajst-8021	85	30	self	self	NOUN
ajst-8021	85	31	-	-	PUNCT
ajst-8021	85	32	attention	attention	NOUN
ajst-8021	85	33	,	,	PUNCT
ajst-8021	85	34	multidimensional	multidimensional	ADJ
ajst-8021	85	35	self	self	NOUN
ajst-8021	85	36	-	-	PUNCT
ajst-8021	85	37	attention	attention	NOUN
ajst-8021	85	38	,	,	PUNCT
ajst-8021	85	39	hybrid	hybrid	ADJ
ajst-8021	85	40	self	self	NOUN
ajst-8021	85	41	-	-	PUNCT
ajst-8021	85	42	attention	attention	NOUN
ajst-8021	85	43	,	,	PUNCT
ajst-8021	85	44	etc	etc	X
ajst-8021	85	45	.	.	X
ajst-8021	86	1	other	other	ADJ
ajst-8021	86	2	attention	attention	NOUN
ajst-8021	86	3	hard	hard	ADJ
ajst-8021	86	4	attention	attention	NOUN
ajst-8021	86	5	,	,	PUNCT
ajst-8021	86	6	frequency	frequency	NOUN
ajst-8021	86	7	domain	domain	NOUN
ajst-8021	86	8	attention	attention	NOUN
ajst-8021	86	9	,	,	PUNCT
ajst-8021	86	10	category	category	NOUN
ajst-8021	86	11	attention	attention	NOUN
ajst-8021	86	12	,	,	PUNCT
ajst-8021	86	13	etc	etc	X
ajst-8021	86	14	.	.	X
ajst-8021	86	15	3	3	X
ajst-8021	86	16	.	.	X
ajst-8021	86	17	literature	literature	NOUN
ajst-8021	86	18	references	reference	VERB
ajst-8021	86	19	the	the	DET
ajst-8021	86	20	main	main	ADJ
ajst-8021	86	21	imaging	imaging	NOUN
ajst-8021	86	22	principle	principle	NOUN
ajst-8021	86	23	of	of	ADP
ajst-8021	86	24	medical	medical	ADJ
ajst-8021	86	25	imaging	imaging	NOUN
ajst-8021	86	26	is	be	AUX
ajst-8021	86	27	to	to	PART
ajst-8021	86	28	scan	scan	VERB
ajst-8021	86	29	a	a	DET
ajst-8021	86	30	specific	specific	ADJ
ajst-8021	86	31	area	area	NOUN
ajst-8021	86	32	with	with	ADP
ajst-8021	86	33	sophisticated	sophisticated	ADJ
ajst-8021	86	34	instruments	instrument	NOUN
ajst-8021	86	35	and	and	CCONJ
ajst-8021	86	36	collect	collect	VERB
ajst-8021	86	37	feedback	feedback	NOUN
ajst-8021	86	38	signals	signal	NOUN
ajst-8021	86	39	that	that	PRON
ajst-8021	86	40	are	be	AUX
ajst-8021	86	41	converted	convert	VERB
ajst-8021	86	42	into	into	ADP
ajst-8021	86	43	a	a	DET
ajst-8021	86	44	visually	visually	ADV
ajst-8021	86	45	friendly	friendly	ADJ
ajst-8021	86	46	structured	structured	ADJ
ajst-8021	86	47	form	form	NOUN
ajst-8021	86	48	.	.	PUNCT
ajst-8021	87	1	medical	medical	ADJ
ajst-8021	87	2	images	image	NOUN
ajst-8021	87	3	are	be	AUX
ajst-8021	87	4	often	often	ADV
ajst-8021	87	5	low	low	ADJ
ajst-8021	87	6	-	-	PUNCT
ajst-8021	87	7	contrast	contrast	NOUN
ajst-8021	87	8	and	and	CCONJ
ajst-8021	87	9	inhomogeneous	inhomogeneous	ADJ
ajst-8021	87	10	-	-	PUNCT
ajst-8021	87	11	looking	look	VERB
ajst-8021	87	12	images	image	NOUN
ajst-8021	87	13	,	,	PUNCT
ajst-8021	87	14	making	make	VERB
ajst-8021	87	15	it	it	PRON
ajst-8021	87	16	difficult	difficult	ADJ
ajst-8021	87	17	for	for	SCONJ
ajst-8021	87	18	a	a	DET
ajst-8021	87	19	well	well	ADV
ajst-8021	87	20	-	-	PUNCT
ajst-8021	87	21	designed	design	VERB
ajst-8021	87	22	model	model	NOUN
ajst-8021	87	23	to	to	PART
ajst-8021	87	24	perform	perform	VERB
ajst-8021	87	25	theoretically	theoretically	ADV
ajst-8021	87	26	if	if	SCONJ
ajst-8021	87	27	the	the	DET
ajst-8021	87	28	segmentation	segmentation	NOUN
ajst-8021	87	29	model	model	NOUN
ajst-8021	87	30	can	can	AUX
ajst-8021	87	31	not	not	PART
ajst-8021	87	32	focus	focus	VERB
ajst-8021	87	33	on	on	ADP
ajst-8021	87	34	key	key	ADJ
ajst-8021	87	35	information	information	NOUN
ajst-8021	87	36	.	.	PUNCT
ajst-8021	88	1	attention	attention	NOUN
ajst-8021	88	2	mechanisms	mechanism	NOUN
ajst-8021	88	3	can	can	AUX
ajst-8021	88	4	guide	guide	VERB
ajst-8021	88	5	downstream	downstream	ADJ
ajst-8021	88	6	tasks	task	NOUN
ajst-8021	88	7	to	to	PART
ajst-8021	88	8	grasp	grasp	VERB
ajst-8021	88	9	discernible	discernible	ADJ
ajst-8021	88	10	expected	expect	VERB
ajst-8021	88	11	features	feature	NOUN
ajst-8021	88	12	,	,	PUNCT
ajst-8021	88	13	filter	filter	NOUN
ajst-8021	88	14	and	and	CCONJ
ajst-8021	88	15	suppress	suppress	VERB
ajst-8021	88	16	irrelevant	irrelevant	ADJ
ajst-8021	88	17	information	information	NOUN
ajst-8021	88	18	,	,	PUNCT
ajst-8021	88	19	enhance	enhance	VERB
ajst-8021	88	20	the	the	DET
ajst-8021	88	21	strength	strength	NOUN
ajst-8021	88	22	of	of	ADP
ajst-8021	88	23	target	target	NOUN
ajst-8021	88	24	features	feature	NOUN
ajst-8021	88	25	,	,	PUNCT
ajst-8021	88	26	and	and	CCONJ
ajst-8021	88	27	improve	improve	VERB
ajst-8021	88	28	network	network	NOUN
ajst-8021	88	29	decision	decision	NOUN
ajst-8021	88	30	accuracy	accuracy	NOUN
ajst-8021	88	31	.	.	PUNCT
ajst-8021	89	1	a	a	DET
ajst-8021	89	2	well	well	ADV
ajst-8021	89	3	-	-	PUNCT
ajst-8021	89	4	designed	design	VERB
ajst-8021	89	5	attention	attention	NOUN
ajst-8021	89	6	module	module	NOUN
ajst-8021	89	7	can	can	AUX
ajst-8021	89	8	replace	replace	VERB
ajst-8021	89	9	higher	high	ADJ
ajst-8021	89	10	accuracy	accuracy	NOUN
ajst-8021	89	11	results	result	NOUN
ajst-8021	89	12	with	with	ADP
ajst-8021	89	13	less	less	ADJ
ajst-8021	89	14	parameter	parameter	NOUN
ajst-8021	89	15	cost	cost	NOUN
ajst-8021	89	16	,	,	PUNCT
ajst-8021	89	17	a	a	DET
ajst-8021	89	18	feature	feature	NOUN
ajst-8021	89	19	that	that	PRON
ajst-8021	89	20	is	be	AUX
ajst-8021	89	21	important	important	ADJ
ajst-8021	89	22	in	in	ADP
ajst-8021	89	23	the	the	DET
ajst-8021	89	24	field	field	NOUN
ajst-8021	89	25	of	of	ADP
ajst-8021	89	26	medical	medical	ADJ
ajst-8021	89	27	segmentation	segmentation	NOUN
ajst-8021	89	28	,	,	PUNCT
ajst-8021	89	29	where	where	SCONJ
ajst-8021	89	30	precise	precise	ADJ
ajst-8021	89	31	and	and	CCONJ
ajst-8021	89	32	efficient	efficient	ADJ
ajst-8021	89	33	localization	localization	NOUN
ajst-8021	89	34	of	of	ADP
ajst-8021	89	35	roi	roi	NOUN
ajst-8021	89	36	regions	region	NOUN
ajst-8021	89	37	such	such	ADJ
ajst-8021	89	38	as	as	ADP
ajst-8021	89	39	brain	brain	NOUN
ajst-8021	89	40	tumors	tumor	NOUN
ajst-8021	89	41	is	be	AUX
ajst-8021	89	42	the	the	DET
ajst-8021	89	43	most	most	ADV
ajst-8021	89	44	essential	essential	ADJ
ajst-8021	89	45	requirement	requirement	NOUN
ajst-8021	89	46	in	in	ADP
ajst-8021	89	47	clinical	clinical	ADJ
ajst-8021	89	48	application	application	NOUN
ajst-8021	89	49	scenarios	scenario	NOUN
ajst-8021	89	50	such	such	ADJ
ajst-8021	89	51	as	as	ADP
ajst-8021	89	52	preoperative	preoperative	ADJ
ajst-8021	89	53	tumor	tumor	NOUN
ajst-8021	89	54	confirmation	confirmation	NOUN
ajst-8021	89	55	,	,	PUNCT
ajst-8021	89	56	tumor	tumor	NOUN
ajst-8021	89	57	location	location	NOUN
ajst-8021	89	58	tracking	tracking	NOUN
ajst-8021	89	59	,	,	PUNCT
ajst-8021	89	60	and	and	CCONJ
ajst-8021	89	61	condition	condition	NOUN
ajst-8021	89	62	analysis	analysis	NOUN
ajst-8021	89	63	.	.	PUNCT
ajst-8021	90	1	in	in	ADP
ajst-8021	90	2	addition	addition	NOUN
ajst-8021	90	3	,	,	PUNCT
ajst-8021	90	4	since	since	SCONJ
ajst-8021	90	5	schemes	scheme	NOUN
ajst-8021	90	6	to	to	PART
ajst-8021	90	7	enhance	enhance	VERB
ajst-8021	90	8	feature	feature	NOUN
ajst-8021	90	9	perception	perception	NOUN
ajst-8021	90	10	often	often	ADV
ajst-8021	90	11	make	make	VERB
ajst-8021	90	12	the	the	DET
ajst-8021	90	13	network	network	NOUN
ajst-8021	90	14	structure	structure	NOUN
ajst-8021	90	15	complex	complex	NOUN
ajst-8021	90	16	and	and	CCONJ
ajst-8021	90	17	diverse	diverse	ADJ
ajst-8021	90	18	,	,	PUNCT
ajst-8021	90	19	selecting	select	VERB
ajst-8021	90	20	key	key	ADJ
ajst-8021	90	21	information	information	NOUN
ajst-8021	90	22	and	and	CCONJ
ajst-8021	90	23	discarding	discard	VERB
ajst-8021	90	24	redundant	redundant	ADJ
ajst-8021	90	25	information	information	NOUN
ajst-8021	90	26	is	be	AUX
ajst-8021	90	27	fundamental	fundamental	ADJ
ajst-8021	90	28	to	to	PART
ajst-8021	90	29	focus	focus	VERB
ajst-8021	90	30	on	on	ADP
ajst-8021	90	31	core	core	NOUN
ajst-8021	90	32	region	region	NOUN
ajst-8021	90	33	features	feature	NOUN
ajst-8021	90	34	and	and	CCONJ
ajst-8021	90	35	optimize	optimize	VERB
ajst-8021	90	36	model	model	NOUN
ajst-8021	90	37	prediction	prediction	NOUN
ajst-8021	90	38	efficiency	efficiency	NOUN
ajst-8021	90	39	.	.	PUNCT
ajst-8021	91	1	3.1	3.1	NUM
ajst-8021	91	2	.	.	PUNCT
ajst-8021	91	3	application	application	NOUN
ajst-8021	91	4	of	of	ADP
ajst-8021	91	5	conventional	conventional	ADJ
ajst-8021	91	6	attention	attention	NOUN
ajst-8021	91	7	currently	currently	ADV
ajst-8021	91	8	,	,	PUNCT
ajst-8021	91	9	many	many	ADJ
ajst-8021	91	10	medical	medical	ADJ
ajst-8021	91	11	image	image	NOUN
ajst-8021	91	12	segmentation	segmentation	NOUN
ajst-8021	91	13	-	-	PUNCT
ajst-8021	91	14	based	base	VERB
ajst-8021	91	15	models	model	NOUN
ajst-8021	91	16	simulate	simulate	VERB
ajst-8021	91	17	the	the	DET
ajst-8021	91	18	focusing	focus	VERB
ajst-8021	91	19	mechanism	mechanism	NOUN
ajst-8021	91	20	of	of	ADP
ajst-8021	91	21	biological	biological	ADJ
ajst-8021	91	22	vision	vision	NOUN
ajst-8021	91	23	by	by	ADP
ajst-8021	91	24	pairing	pair	VERB
ajst-8021	91	25	attention	attention	NOUN
ajst-8021	91	26	modules	module	NOUN
ajst-8021	91	27	with	with	ADP
ajst-8021	91	28	conventional	conventional	ADJ
ajst-8021	91	29	attention	attention	NOUN
ajst-8021	91	30	mechanisms	mechanism	NOUN
ajst-8021	91	31	for	for	ADP
ajst-8021	91	32	feature	feature	NOUN
ajst-8021	91	33	reweighting	reweighting	NOUN
ajst-8021	91	34	based	base	VERB
ajst-8021	91	35	on	on	ADP
ajst-8021	91	36	feature	feature	NOUN
ajst-8021	91	37	contextual	contextual	ADJ
ajst-8021	91	38	interactions	interaction	NOUN
ajst-8021	91	39	to	to	PART
ajst-8021	91	40	further	far	ADV
ajst-8021	91	41	enhance	enhance	VERB
ajst-8021	91	42	the	the	DET
ajst-8021	91	43	evaluation	evaluation	NOUN
ajst-8021	91	44	metrics	metric	NOUN
ajst-8021	91	45	.	.	PUNCT
ajst-8021	92	1	attention	attention	NOUN
ajst-8021	92	2	u	u	NOUN
ajst-8021	92	3	-	-	NOUN
ajst-8021	92	4	net	net	ADJ
ajst-8021	92	5	[	[	X
ajst-8021	92	6	1	1	NUM
ajst-8021	92	7	]	]	PUNCT
ajst-8021	92	8	pioneered	pioneer	VERB
ajst-8021	92	9	the	the	DET
ajst-8021	92	10	concept	concept	NOUN
ajst-8021	92	11	of	of	ADP
ajst-8021	92	12	241	241	NUM
ajst-8021	92	13	attention	attention	NOUN
ajst-8021	92	14	gate	gate	NOUN
ajst-8021	92	15	(	(	PUNCT
ajst-8021	92	16	ag	ag	PROPN
ajst-8021	92	17	)	)	PUNCT
ajst-8021	92	18	,	,	PUNCT
ajst-8021	92	19	which	which	PRON
ajst-8021	92	20	guides	guide	VERB
ajst-8021	92	21	jump	jump	VERB
ajst-8021	92	22	connections	connection	NOUN
ajst-8021	92	23	and	and	CCONJ
ajst-8021	92	24	corrects	correct	VERB
ajst-8021	92	25	the	the	DET
ajst-8021	92	26	strength	strength	NOUN
ajst-8021	92	27	of	of	ADP
ajst-8021	92	28	features	feature	NOUN
ajst-8021	92	29	with	with	ADP
ajst-8021	92	30	deep	deep	ADJ
ajst-8021	92	31	high	high	ADJ
ajst-8021	92	32	-	-	PUNCT
ajst-8021	92	33	level	level	NOUN
ajst-8021	92	34	semantics	semantic	NOUN
ajst-8021	92	35	,	,	PUNCT
ajst-8021	92	36	and	and	CCONJ
ajst-8021	92	37	ag	ag	PROPN
ajst-8021	92	38	implicitly	implicitly	ADV
ajst-8021	92	39	emphasizes	emphasize	VERB
ajst-8021	92	40	task	task	NOUN
ajst-8021	92	41	-	-	PUNCT
ajst-8021	92	42	relevant	relevant	ADJ
ajst-8021	92	43	transfer	transfer	NOUN
ajst-8021	92	44	while	while	SCONJ
ajst-8021	92	45	reducing	reduce	VERB
ajst-8021	92	46	task	task	NOUN
ajst-8021	92	47	-	-	PUNCT
ajst-8021	92	48	irrelevant	irrelevant	ADJ
ajst-8021	92	49	interference	interference	NOUN
ajst-8021	92	50	.	.	PUNCT
ajst-8021	93	1	the	the	DET
ajst-8021	93	2	final	final	ADJ
ajst-8021	93	3	experiments	experiment	NOUN
ajst-8021	93	4	show	show	VERB
ajst-8021	93	5	that	that	SCONJ
ajst-8021	93	6	ag	ag	PROPN
ajst-8021	93	7	can	can	AUX
ajst-8021	93	8	improve	improve	VERB
ajst-8021	93	9	the	the	DET
ajst-8021	93	10	predictive	predictive	ADJ
ajst-8021	93	11	power	power	NOUN
ajst-8021	93	12	and	and	CCONJ
ajst-8021	93	13	guarantee	guarantee	VERB
ajst-8021	93	14	the	the	DET
ajst-8021	93	15	efficiency	efficiency	NOUN
ajst-8021	93	16	of	of	ADP
ajst-8021	93	17	u	u	NOUN
ajst-8021	93	18	-	-	NOUN
ajst-8021	93	19	net	net	NOUN
ajst-8021	93	20	.	.	PUNCT
ajst-8021	94	1	li	li	PROPN
ajst-8021	94	2	et	et	PROPN
ajst-8021	94	3	al	al	PROPN
ajst-8021	95	1	[	[	X
ajst-8021	95	2	2	2	NUM
ajst-8021	95	3	]	]	PUNCT
ajst-8021	95	4	proposed	propose	VERB
ajst-8021	95	5	the	the	DET
ajst-8021	95	6	attention	attention	NOUN
ajst-8021	95	7	nested	nest	VERB
ajst-8021	95	8	u	u	NOUN
ajst-8021	95	9	-	-	NOUN
ajst-8021	95	10	net	net	ADJ
ajst-8021	95	11	(	(	PUNCT
ajst-8021	95	12	anu	anu	NOUN
ajst-8021	95	13	-	-	PUNCT
ajst-8021	95	14	net	net	NOUN
ajst-8021	95	15	)	)	PUNCT
ajst-8021	95	16	based	base	VERB
ajst-8021	95	17	segmentation	segmentation	NOUN
ajst-8021	95	18	network	network	NOUN
ajst-8021	95	19	for	for	ADP
ajst-8021	95	20	organ	organ	NOUN
ajst-8021	95	21	cancer	cancer	NOUN
ajst-8021	95	22	segmentation	segmentation	NOUN
ajst-8021	95	23	,	,	PUNCT
ajst-8021	95	24	which	which	PRON
ajst-8021	95	25	introduced	introduce	VERB
ajst-8021	95	26	a	a	DET
ajst-8021	95	27	redesigned	redesign	VERB
ajst-8021	95	28	dense	dense	ADJ
ajst-8021	95	29	jump	jump	NOUN
ajst-8021	95	30	connection	connection	NOUN
ajst-8021	95	31	and	and	CCONJ
ajst-8021	95	32	attention	attention	NOUN
ajst-8021	95	33	mechanism	mechanism	NOUN
ajst-8021	95	34	based	base	VERB
ajst-8021	95	35	on	on	ADP
ajst-8021	95	36	attention	attention	NOUN
ajst-8021	95	37	u	u	NOUN
ajst-8021	95	38	-	-	NOUN
ajst-8021	95	39	net	net	ADJ
ajst-8021	95	40	,	,	PUNCT
ajst-8021	95	41	and	and	CCONJ
ajst-8021	95	42	designed	design	VERB
ajst-8021	95	43	a	a	DET
ajst-8021	95	44	new	new	ADJ
ajst-8021	95	45	hybrid	hybrid	ADJ
ajst-8021	95	46	loss	loss	NOUN
ajst-8021	95	47	function	function	NOUN
ajst-8021	95	48	,	,	PUNCT
ajst-8021	95	49	which	which	PRON
ajst-8021	95	50	was	be	AUX
ajst-8021	95	51	used	use	VERB
ajst-8021	95	52	in	in	ADP
ajst-8021	95	53	the	the	DET
ajst-8021	95	54	liver	liver	NOUN
ajst-8021	95	55	tumor	tumor	NOUN
ajst-8021	95	56	segmentation	segmentation	NOUN
ajst-8021	95	57	dataset	dataset	NOUN
ajst-8021	95	58	lits	lit	NOUN
ajst-8021	95	59	(	(	PUNCT
ajst-8021	95	60	liver	liver	NOUN
ajst-8021	95	61	tumor	tumor	NOUN
ajst-8021	95	62	segmentation	segmentation	NOUN
ajst-8021	95	63	)	)	PUNCT
ajst-8021	95	64	,	,	PUNCT
ajst-8021	95	65	and	and	CCONJ
ajst-8021	95	66	healthy	healthy	ADJ
ajst-8021	95	67	abdominal	abdominal	ADJ
ajst-8021	95	68	organ	organ	NOUN
ajst-8021	95	69	segmentation	segmentation	NOUN
ajst-8021	95	70	chaos	chaos	NOUN
ajst-8021	95	71	(	(	PUNCT
ajst-8021	95	72	combined	combine	VERB
ajst-8021	95	73	healthy	healthy	ADJ
ajst-8021	95	74	abdominal	abdominal	ADJ
ajst-8021	95	75	organ	organ	NOUN
ajst-8021	95	76	segmentation	segmentation	NOUN
ajst-8021	95	77	)	)	PUNCT
ajst-8021	95	78	datasets	dataset	NOUN
ajst-8021	95	79	both	both	PRON
ajst-8021	95	80	achieved	achieve	VERB
ajst-8021	95	81	top	top	ADJ
ajst-8021	95	82	segmentation	segmentation	NOUN
ajst-8021	95	83	results	result	NOUN
ajst-8021	95	84	.	.	PUNCT
ajst-8021	96	1	some	some	DET
ajst-8021	96	2	schemes	scheme	NOUN
ajst-8021	96	3	use	use	VERB
ajst-8021	96	4	multiple	multiple	ADJ
ajst-8021	96	5	branches	branch	NOUN
ajst-8021	96	6	for	for	ADP
ajst-8021	96	7	weighting	weight	VERB
ajst-8021	96	8	different	different	ADJ
ajst-8021	96	9	attention	attention	NOUN
ajst-8021	96	10	,	,	PUNCT
ajst-8021	96	11	so	so	CCONJ
ajst-8021	96	12	the	the	DET
ajst-8021	96	13	model	model	NOUN
ajst-8021	96	14	can	can	AUX
ajst-8021	96	15	have	have	VERB
ajst-8021	96	16	more	more	ADV
ajst-8021	96	17	expressive	expressive	ADJ
ajst-8021	96	18	pooling	pooling	NOUN
ajst-8021	96	19	in	in	ADP
ajst-8021	96	20	the	the	DET
ajst-8021	96	21	context	context	NOUN
ajst-8021	96	22	and	and	CCONJ
ajst-8021	96	23	achieve	achieve	VERB
ajst-8021	96	24	segmentation	segmentation	NOUN
ajst-8021	96	25	performance	performance	NOUN
ajst-8021	96	26	improvements	improvement	NOUN
ajst-8021	96	27	.	.	PUNCT
ajst-8021	97	1	since	since	SCONJ
ajst-8021	97	2	deep	deep	ADJ
ajst-8021	97	3	supervision	supervision	NOUN
ajst-8021	97	4	was	be	AUX
ajst-8021	97	5	found	find	VERB
ajst-8021	97	6	to	to	PART
ajst-8021	97	7	improve	improve	VERB
ajst-8021	97	8	performance	performance	NOUN
ajst-8021	97	9	,	,	PUNCT
ajst-8021	97	10	imposing	impose	VERB
ajst-8021	97	11	attention	attention	NOUN
ajst-8021	97	12	on	on	ADP
ajst-8021	97	13	multiple	multiple	ADJ
ajst-8021	97	14	decoders	decoder	NOUN
ajst-8021	97	15	and	and	CCONJ
ajst-8021	97	16	using	use	VERB
ajst-8021	97	17	their	their	PRON
ajst-8021	97	18	results	result	NOUN
ajst-8021	97	19	as	as	ADP
ajst-8021	97	20	a	a	DET
ajst-8021	97	21	common	common	ADJ
ajst-8021	97	22	output	output	NOUN
ajst-8021	97	23	is	be	AUX
ajst-8021	97	24	a	a	DET
ajst-8021	97	25	good	good	ADJ
ajst-8021	97	26	scheme	scheme	NOUN
ajst-8021	97	27	[	[	X
ajst-8021	97	28	88	88	NUM
ajst-8021	97	29	]	]	PUNCT
ajst-8021	97	30	that	that	PRON
ajst-8021	97	31	can	can	AUX
ajst-8021	97	32	enhance	enhance	VERB
ajst-8021	97	33	prediction	prediction	NOUN
ajst-8021	97	34	adaptation	adaptation	NOUN
ajst-8021	97	35	to	to	ADP
ajst-8021	97	36	different	different	ADJ
ajst-8021	97	37	scales	scale	NOUN
ajst-8021	97	38	,	,	PUNCT
ajst-8021	97	39	e.g.	e.g.	ADV
ajst-8021	97	40	,	,	PUNCT
ajst-8021	97	41	ca	ca	NOUN
ajst-8021	97	42	-	-	PUNCT
ajst-8021	97	43	net	net	NOUN
ajst-8021	97	44	[	[	X
ajst-8021	97	45	3	3	NUM
ajst-8021	97	46	]	]	PUNCT
ajst-8021	97	47	applies	apply	VERB
ajst-8021	97	48	channeland	channeland	NOUN
ajst-8021	97	49	space	space	NOUN
ajst-8021	97	50	-	-	PUNCT
ajst-8021	97	51	level	level	NOUN
ajst-8021	97	52	attention	attention	NOUN
ajst-8021	97	53	to	to	ADP
ajst-8021	97	54	the	the	DET
ajst-8021	97	55	output	output	NOUN
ajst-8021	97	56	of	of	ADP
ajst-8021	97	57	multiple	multiple	ADJ
ajst-8021	97	58	decoding	decode	VERB
ajst-8021	97	59	stages	stage	NOUN
ajst-8021	97	60	before	before	ADP
ajst-8021	97	61	performing	perform	VERB
ajst-8021	97	62	prediction	prediction	NOUN
ajst-8021	97	63	.	.	PUNCT
ajst-8021	98	1	in	in	ADP
ajst-8021	98	2	retinal	retinal	ADJ
ajst-8021	98	3	vascular	vascular	ADJ
ajst-8021	98	4	segmentation	segmentation	NOUN
ajst-8021	98	5	,	,	PUNCT
ajst-8021	98	6	due	due	ADP
ajst-8021	98	7	to	to	ADP
ajst-8021	98	8	the	the	DET
ajst-8021	98	9	complexity	complexity	NOUN
ajst-8021	98	10	and	and	CCONJ
ajst-8021	98	11	inconspicuousness	inconspicuousness	NOUN
ajst-8021	98	12	of	of	ADP
ajst-8021	98	13	blood	blood	NOUN
ajst-8021	98	14	vessels	vessel	NOUN
ajst-8021	98	15	,	,	PUNCT
ajst-8021	98	16	it	it	PRON
ajst-8021	98	17	is	be	AUX
ajst-8021	98	18	necessary	necessary	ADJ
ajst-8021	98	19	to	to	PART
ajst-8021	98	20	combine	combine	VERB
ajst-8021	98	21	multiple	multiple	ADJ
ajst-8021	98	22	scales	scale	NOUN
ajst-8021	98	23	for	for	ADP
ajst-8021	98	24	joint	joint	ADJ
ajst-8021	98	25	decision	decision	NOUN
ajst-8021	98	26	-	-	PUNCT
ajst-8021	98	27	making	making	NOUN
ajst-8021	98	28	,	,	PUNCT
ajst-8021	98	29	and	and	CCONJ
ajst-8021	98	30	the	the	DET
ajst-8021	98	31	scale	scale	NOUN
ajst-8021	98	32	multiplexing	multiplexing	NOUN
ajst-8021	98	33	mechanism	mechanism	NOUN
ajst-8021	98	34	of	of	ADP
ajst-8021	98	35	res2net	res2net	PRON
ajst-8021	98	36	can	can	AUX
ajst-8021	98	37	establish	establish	VERB
ajst-8021	98	38	a	a	DET
ajst-8021	98	39	connection	connection	NOUN
ajst-8021	98	40	between	between	ADP
ajst-8021	98	41	small	small	ADJ
ajst-8021	98	42	and	and	CCONJ
ajst-8021	98	43	large	large	ADJ
ajst-8021	98	44	scales	scale	NOUN
ajst-8021	98	45	;	;	PUNCT
ajst-8021	98	46	not	not	PART
ajst-8021	98	47	only	only	ADV
ajst-8021	98	48	that	that	PRON
ajst-8021	98	49	,	,	PUNCT
ajst-8021	98	50	sa	sa	NOUN
ajst-8021	98	51	-	-	ADJ
ajst-8021	98	52	net	net	NOUN
ajst-8021	98	53	[	[	X
ajst-8021	98	54	4	4	NUM
ajst-8021	98	55	]	]	PUNCT
ajst-8021	98	56	applies	apply	VERB
ajst-8021	98	57	the	the	DET
ajst-8021	98	58	attention	attention	NOUN
ajst-8021	98	59	mechanism	mechanism	NOUN
ajst-8021	98	60	to	to	ADP
ajst-8021	98	61	multiple	multiple	ADJ
ajst-8021	98	62	scales	scale	NOUN
ajst-8021	98	63	to	to	PART
ajst-8021	98	64	balance	balance	VERB
ajst-8021	98	65	the	the	DET
ajst-8021	98	66	importance	importance	NOUN
ajst-8021	98	67	of	of	ADP
ajst-8021	98	68	multiple	multiple	ADJ
ajst-8021	98	69	scales	scale	NOUN
ajst-8021	98	70	,	,	PUNCT
ajst-8021	98	71	so	so	ADV
ajst-8021	98	72	good	good	ADJ
ajst-8021	98	73	segmentation	segmentation	NOUN
ajst-8021	98	74	results	result	NOUN
ajst-8021	98	75	are	be	AUX
ajst-8021	98	76	obtained	obtain	VERB
ajst-8021	98	77	.	.	PUNCT
ajst-8021	99	1	ddanet	ddanet	NOUN
ajst-8021	100	1	[	[	X
ajst-8021	100	2	5	5	NUM
ajst-8021	100	3	]	]	PUNCT
ajst-8021	100	4	designed	design	VERB
ajst-8021	100	5	two	two	NUM
ajst-8021	100	6	decoders	decoder	NOUN
ajst-8021	100	7	with	with	ADP
ajst-8021	100	8	attention	attention	NOUN
ajst-8021	100	9	residual	residual	ADJ
ajst-8021	100	10	blocks	block	NOUN
ajst-8021	100	11	and	and	CCONJ
ajst-8021	100	12	staggered	staggered	ADJ
ajst-8021	100	13	fusion	fusion	NOUN
ajst-8021	100	14	in	in	ADP
ajst-8021	100	15	the	the	DET
ajst-8021	100	16	decoder	decoder	NOUN
ajst-8021	100	17	.	.	PUNCT
ajst-8021	101	1	the	the	DET
ajst-8021	101	2	attention	attention	NOUN
ajst-8021	101	3	mechanism	mechanism	NOUN
ajst-8021	101	4	successfully	successfully	ADV
ajst-8021	101	5	helped	help	VERB
ajst-8021	101	6	ddanet	ddanet	VERB
ajst-8021	101	7	to	to	PART
ajst-8021	101	8	obtain	obtain	VERB
ajst-8021	101	9	a	a	DET
ajst-8021	101	10	good	good	ADJ
ajst-8021	101	11	polyp	polyp	NOUN
ajst-8021	101	12	outlining	outline	VERB
ajst-8021	101	13	ability	ability	NOUN
ajst-8021	101	14	and	and	CCONJ
ajst-8021	101	15	finally	finally	ADV
ajst-8021	101	16	achieved	achieve	VERB
ajst-8021	101	17	a	a	DET
ajst-8021	101	18	dice	dice	NOUN
ajst-8021	101	19	score	score	NOUN
ajst-8021	101	20	of	of	ADP
ajst-8021	101	21	85.76	85.76	NUM
ajst-8021	101	22	%	%	NOUN
ajst-8021	101	23	.	.	PUNCT
ajst-8021	102	1	there	there	PRON
ajst-8021	102	2	are	be	VERB
ajst-8021	102	3	also	also	ADV
ajst-8021	102	4	many	many	ADJ
ajst-8021	102	5	excellent	excellent	ADJ
ajst-8021	102	6	types	type	NOUN
ajst-8021	102	7	of	of	ADP
ajst-8021	102	8	research	research	NOUN
ajst-8021	102	9	[	[	X
ajst-8021	102	10	6	6	NUM
ajst-8021	102	11	,	,	PUNCT
ajst-8021	102	12	7	7	NUM
ajst-8021	102	13	]	]	PUNCT
ajst-8021	102	14	that	that	PRON
ajst-8021	102	15	exploit	exploit	VERB
ajst-8021	102	16	the	the	DET
ajst-8021	102	17	attention	attention	NOUN
ajst-8021	102	18	application	application	NOUN
ajst-8021	102	19	on	on	ADP
ajst-8021	102	20	the	the	DET
ajst-8021	102	21	medical	medical	ADJ
ajst-8021	102	22	image	image	NOUN
ajst-8021	102	23	segmentation	segmentation	NOUN
ajst-8021	102	24	domain	domain	NOUN
ajst-8021	102	25	.	.	PUNCT
ajst-8021	103	1	3.2	3.2	NUM
ajst-8021	103	2	.	.	PUNCT
ajst-8021	103	3	application	application	NOUN
ajst-8021	103	4	of	of	ADP
ajst-8021	103	5	self	self	NOUN
ajst-8021	103	6	-	-	PUNCT
ajst-8021	103	7	attention	attention	NOUN
ajst-8021	103	8	recently	recently	ADV
ajst-8021	103	9	,	,	PUNCT
ajst-8021	103	10	with	with	ADP
ajst-8021	103	11	the	the	DET
ajst-8021	103	12	success	success	NOUN
ajst-8021	103	13	of	of	ADP
ajst-8021	103	14	non	non	ADJ
ajst-8021	103	15	-	-	ADJ
ajst-8021	103	16	local	local	ADJ
ajst-8021	103	17	blocks	block	NOUN
ajst-8021	103	18	and	and	CCONJ
ajst-8021	103	19	transformers	transformer	NOUN
ajst-8021	103	20	in	in	ADP
ajst-8021	103	21	the	the	DET
ajst-8021	103	22	field	field	NOUN
ajst-8021	103	23	of	of	ADP
ajst-8021	103	24	vision	vision	NOUN
ajst-8021	103	25	,	,	PUNCT
ajst-8021	103	26	combining	combine	VERB
ajst-8021	103	27	medical	medical	ADJ
ajst-8021	103	28	image	image	NOUN
ajst-8021	103	29	segmentation	segmentation	NOUN
ajst-8021	103	30	with	with	ADP
ajst-8021	103	31	self	self	NOUN
ajst-8021	103	32	-	-	PUNCT
ajst-8021	103	33	attentive	attentive	ADJ
ajst-8021	103	34	mechanisms	mechanism	NOUN
ajst-8021	103	35	is	be	AUX
ajst-8021	103	36	also	also	ADV
ajst-8021	103	37	a	a	DET
ajst-8021	103	38	direction	direction	NOUN
ajst-8021	103	39	worth	worth	ADJ
ajst-8021	103	40	exploring	explore	VERB
ajst-8021	103	41	.	.	PUNCT
ajst-8021	104	1	many	many	ADJ
ajst-8021	104	2	excellent	excellent	ADJ
ajst-8021	104	3	models	model	NOUN
ajst-8021	104	4	of	of	ADP
ajst-8021	104	5	self	self	NOUN
ajst-8021	104	6	-	-	PUNCT
ajst-8021	104	7	attentive	attentive	ADJ
ajst-8021	104	8	mechanisms	mechanism	NOUN
ajst-8021	104	9	enable	enable	VERB
ajst-8021	104	10	models	model	NOUN
ajst-8021	104	11	with	with	ADP
ajst-8021	104	12	more	more	ADV
ajst-8021	104	13	complete	complete	ADJ
ajst-8021	104	14	perceptual	perceptual	ADJ
ajst-8021	104	15	capabilities	capability	NOUN
ajst-8021	104	16	,	,	PUNCT
ajst-8021	104	17	and	and	CCONJ
ajst-8021	104	18	the	the	DET
ajst-8021	104	19	literature	literature	NOUN
ajst-8021	104	20	[	[	X
ajst-8021	104	21	45	45	NUM
ajst-8021	104	22	]	]	PUNCT
ajst-8021	104	23	introduced	introduce	VERB
ajst-8021	104	24	scalable	scalable	ADJ
ajst-8021	104	25	resolution	resolution	NOUN
ajst-8021	104	26	nl	nl	NOUN
ajst-8021	104	27	blocks	block	NOUN
ajst-8021	104	28	as	as	ADV
ajst-8021	104	29	well	well	ADV
ajst-8021	104	30	as	as	ADP
ajst-8021	104	31	improved	improve	VERB
ajst-8021	104	32	residual	residual	ADJ
ajst-8021	104	33	blocks	block	NOUN
ajst-8021	104	34	in	in	ADP
ajst-8021	104	35	the	the	DET
ajst-8021	104	36	codec	codec	NOUN
ajst-8021	104	37	structure	structure	NOUN
ajst-8021	104	38	,	,	PUNCT
ajst-8021	104	39	which	which	PRON
ajst-8021	104	40	are	be	AUX
ajst-8021	104	41	not	not	PART
ajst-8021	104	42	only	only	ADV
ajst-8021	104	43	applicable	applicable	ADJ
ajst-8021	104	44	in	in	ADP
ajst-8021	104	45	each	each	DET
ajst-8021	104	46	stage	stage	NOUN
ajst-8021	104	47	but	but	CCONJ
ajst-8021	104	48	also	also	ADV
ajst-8021	104	49	can	can	AUX
ajst-8021	104	50	be	be	AUX
ajst-8021	104	51	added	add	VERB
ajst-8021	104	52	to	to	ADP
ajst-8021	104	53	the	the	DET
ajst-8021	104	54	downsampling	downsample	VERB
ajst-8021	104	55	and	and	CCONJ
ajst-8021	104	56	upsampling	upsample	VERB
ajst-8021	104	57	layers	layer	NOUN
ajst-8021	104	58	,	,	PUNCT
ajst-8021	104	59	ultimately	ultimately	ADV
ajst-8021	104	60	achieving	achieve	VERB
ajst-8021	104	61	several	several	ADJ
ajst-8021	104	62	metrics	metric	NOUN
ajst-8021	104	63	improvements	improvement	NOUN
ajst-8021	104	64	in	in	ADP
ajst-8021	104	65	the	the	DET
ajst-8021	104	66	infant	infant	NOUN
ajst-8021	104	67	brain	brain	NOUN
ajst-8021	104	68	segmentation	segmentation	NOUN
ajst-8021	104	69	task	task	NOUN
ajst-8021	104	70	.	.	PUNCT
ajst-8021	105	1	m3	m3	PROPN
ajst-8021	105	2	-	-	PUNCT
ajst-8021	105	3	net	net	NOUN
ajst-8021	105	4	[	[	X
ajst-8021	105	5	46	46	NUM
ajst-8021	105	6	]	]	PUNCT
ajst-8021	105	7	constructed	construct	VERB
ajst-8021	105	8	two	two	NUM
ajst-8021	105	9	paths	path	NOUN
ajst-8021	105	10	for	for	ADP
ajst-8021	105	11	encoding	encode	VERB
ajst-8021	105	12	stage	stage	NOUN
ajst-8021	105	13	-	-	PUNCT
ajst-8021	105	14	based	base	VERB
ajst-8021	105	15	interactions	interaction	NOUN
ajst-8021	105	16	to	to	PART
ajst-8021	105	17	perform	perform	VERB
ajst-8021	105	18	pancreatic	pancreatic	ADJ
ajst-8021	105	19	segmentation	segmentation	NOUN
ajst-8021	105	20	with	with	ADP
ajst-8021	105	21	biphasic	biphasic	ADJ
ajst-8021	105	22	three	three	NUM
ajst-8021	105	23	-	-	PUNCT
ajst-8021	105	24	views	view	NOUN
ajst-8021	105	25	,	,	PUNCT
ajst-8021	105	26	and	and	CCONJ
ajst-8021	105	27	each	each	PRON
ajst-8021	105	28	of	of	ADP
ajst-8021	105	29	the	the	DET
ajst-8021	105	30	encoding	encoding	NOUN
ajst-8021	105	31	terminals	terminal	NOUN
ajst-8021	105	32	was	be	AUX
ajst-8021	105	33	inserted	insert	VERB
ajst-8021	105	34	with	with	ADP
ajst-8021	105	35	an	an	DET
ajst-8021	105	36	nl	nl	NOUN
ajst-8021	105	37	-	-	PUNCT
ajst-8021	105	38	based	base	VERB
ajst-8021	105	39	local	local	ADJ
ajst-8021	105	40	attention	attention	NOUN
ajst-8021	105	41	and	and	CCONJ
ajst-8021	105	42	depth	depth	NOUN
ajst-8021	105	43	attention	attention	NOUN
ajst-8021	105	44	,	,	PUNCT
ajst-8021	105	45	and	and	CCONJ
ajst-8021	105	46	this	this	DET
ajst-8021	105	47	scheme	scheme	NOUN
ajst-8021	105	48	achieved	achieve	VERB
ajst-8021	105	49	the	the	DET
ajst-8021	105	50	highest	high	ADJ
ajst-8021	105	51	dice	dice	NOUN
ajst-8021	105	52	coefficients	coefficient	NOUN
ajst-8021	105	53	of	of	ADP
ajst-8021	105	54	91.19	91.19	NUM
ajst-8021	105	55	%	%	NOUN
ajst-8021	105	56	and	and	CCONJ
ajst-8021	105	57	86.34	86.34	NUM
ajst-8021	105	58	%	%	NOUN
ajst-8021	105	59	in	in	ADP
ajst-8021	105	60	the	the	DET
ajst-8021	105	61	internal	internal	ADJ
ajst-8021	105	62	and	and	CCONJ
ajst-8021	105	63	public	public	ADJ
ajst-8021	105	64	pancreatic	pancreatic	ADJ
ajst-8021	105	65	datasets	dataset	NOUN
ajst-8021	105	66	,	,	PUNCT
ajst-8021	105	67	respectively	respectively	ADV
ajst-8021	105	68	.	.	PUNCT
ajst-8021	106	1	caranet	caranet	PROPN
ajst-8021	107	1	[	[	X
ajst-8021	107	2	47	47	NUM
ajst-8021	107	3	]	]	PUNCT
ajst-8021	107	4	considered	consider	VERB
ajst-8021	107	5	the	the	DET
ajst-8021	107	6	lack	lack	NOUN
ajst-8021	107	7	of	of	ADP
ajst-8021	107	8	global	global	ADJ
ajst-8021	107	9	similarity	similarity	NOUN
ajst-8021	107	10	interactions	interaction	NOUN
ajst-8021	107	11	in	in	ADP
ajst-8021	107	12	ra	ra	PROPN
ajst-8021	107	13	and	and	CCONJ
ajst-8021	107	14	therefore	therefore	ADV
ajst-8021	107	15	added	add	VERB
ajst-8021	107	16	axial	axial	ADJ
ajst-8021	107	17	self	self	NOUN
ajst-8021	107	18	-	-	PUNCT
ajst-8021	107	19	attention	attention	NOUN
ajst-8021	107	20	to	to	ADP
ajst-8021	107	21	the	the	DET
ajst-8021	107	22	ra	ra	PROPN
ajst-8021	107	23	module	module	NOUN
ajst-8021	107	24	to	to	PART
ajst-8021	107	25	achieve	achieve	VERB
ajst-8021	107	26	the	the	DET
ajst-8021	107	27	highest	high	ADJ
ajst-8021	107	28	segmentation	segmentation	NOUN
ajst-8021	107	29	accuracy	accuracy	NOUN
ajst-8021	107	30	.	.	PUNCT
ajst-8021	108	1	the	the	DET
ajst-8021	108	2	literature	literature	NOUN
ajst-8021	108	3	[	[	X
ajst-8021	108	4	48	48	NUM
ajst-8021	108	5	]	]	PUNCT
ajst-8021	108	6	used	use	VERB
ajst-8021	108	7	resnet	resnet	NOUN
ajst-8021	108	8	as	as	ADP
ajst-8021	108	9	a	a	DET
ajst-8021	108	10	backbone	backbone	NOUN
ajst-8021	108	11	to	to	PART
ajst-8021	108	12	extract	extract	VERB
ajst-8021	108	13	local	local	ADJ
ajst-8021	108	14	structural	structural	ADJ
ajst-8021	108	15	information	information	NOUN
ajst-8021	108	16	based	base	VERB
ajst-8021	108	17	on	on	ADP
ajst-8021	108	18	convolutional	convolutional	ADJ
ajst-8021	108	19	networks	network	NOUN
ajst-8021	108	20	,	,	PUNCT
ajst-8021	108	21	and	and	CCONJ
ajst-8021	108	22	stacked	stack	VERB
ajst-8021	108	23	transformer	transformer	NOUN
ajst-8021	108	24	modules	module	NOUN
ajst-8021	108	25	at	at	ADP
ajst-8021	108	26	the	the	DET
ajst-8021	108	27	end	end	NOUN
ajst-8021	108	28	to	to	PART
ajst-8021	108	29	extract	extract	VERB
ajst-8021	108	30	similaritydependent	similaritydependent	NOUN
ajst-8021	108	31	information	information	NOUN
ajst-8021	108	32	based	base	VERB
ajst-8021	108	33	on	on	ADP
ajst-8021	108	34	a	a	DET
ajst-8021	108	35	self	self	NOUN
ajst-8021	108	36	-	-	PUNCT
ajst-8021	108	37	attention	attention	NOUN
ajst-8021	108	38	mechanism	mechanism	NOUN
ajst-8021	108	39	,	,	PUNCT
ajst-8021	108	40	demonstrating	demonstrate	VERB
ajst-8021	108	41	that	that	SCONJ
ajst-8021	108	42	transformer	transformer	NOUN
ajst-8021	108	43	-	-	PUNCT
ajst-8021	108	44	based	base	VERB
ajst-8021	108	45	networks	network	NOUN
ajst-8021	108	46	can	can	AUX
ajst-8021	108	47	also	also	ADV
ajst-8021	108	48	be	be	AUX
ajst-8021	108	49	successful	successful	ADJ
ajst-8021	108	50	in	in	ADP
ajst-8021	108	51	medical	medical	ADJ
ajst-8021	108	52	image	image	NOUN
ajst-8021	108	53	segmentation	segmentation	NOUN
ajst-8021	108	54	.	.	PUNCT
ajst-8021	109	1	u	u	ADJ
ajst-8021	109	2	-	-	ADJ
ajst-8021	109	3	net	net	ADJ
ajst-8021	109	4	transformer	transformer	NOUN
ajst-8021	109	5	[	[	X
ajst-8021	109	6	49	49	NUM
ajst-8021	109	7	]	]	PUNCT
ajst-8021	109	8	introduced	introduce	VERB
ajst-8021	109	9	a	a	DET
ajst-8021	109	10	multi	multi	ADJ
ajst-8021	109	11	-	-	ADJ
ajst-8021	109	12	headed	headed	ADJ
ajst-8021	109	13	attention	attention	NOUN
ajst-8021	109	14	mechanism	mechanism	NOUN
ajst-8021	109	15	at	at	ADP
ajst-8021	109	16	the	the	DET
ajst-8021	109	17	deep	deep	ADJ
ajst-8021	109	18	level	level	NOUN
ajst-8021	109	19	based	base	VERB
ajst-8021	109	20	on	on	ADP
ajst-8021	109	21	attention	attention	NOUN
ajst-8021	109	22	u	u	NOUN
ajst-8021	109	23	-	-	NOUN
ajst-8021	109	24	net	net	ADJ
ajst-8021	109	25	for	for	ADP
ajst-8021	109	26	global	global	ADJ
ajst-8021	109	27	understanding	understanding	NOUN
ajst-8021	109	28	between	between	ADP
ajst-8021	109	29	point	point	NOUN
ajst-8021	109	30	-	-	PUNCT
ajst-8021	109	31	to	to	ADP
ajst-8021	109	32	-	-	PUNCT
ajst-8021	109	33	semantics	semantic	NOUN
ajst-8021	109	34	and	and	CCONJ
ajst-8021	109	35	replaced	replace	VERB
ajst-8021	109	36	the	the	DET
ajst-8021	109	37	attention	attention	NOUN
ajst-8021	109	38	gate	gate	NOUN
ajst-8021	109	39	module	module	NOUN
ajst-8021	109	40	with	with	ADP
ajst-8021	109	41	inserted	insert	VERB
ajst-8021	109	42	crossover	crossover	ADP
ajst-8021	109	43	self	self	NOUN
ajst-8021	109	44	-	-	PUNCT
ajst-8021	109	45	attention	attention	NOUN
ajst-8021	109	46	in	in	ADP
ajst-8021	109	47	the	the	DET
ajst-8021	109	48	decoding	decode	VERB
ajst-8021	109	49	stage	stage	NOUN
ajst-8021	109	50	to	to	PART
ajst-8021	109	51	filter	filter	VERB
ajst-8021	109	52	irrelevant	irrelevant	ADJ
ajst-8021	109	53	information	information	NOUN
ajst-8021	109	54	based	base	VERB
ajst-8021	109	55	on	on	ADP
ajst-8021	109	56	high	high	ADJ
ajst-8021	109	57	-	-	PUNCT
ajst-8021	109	58	level	level	NOUN
ajst-8021	109	59	semantics	semantic	NOUN
ajst-8021	109	60	and	and	CCONJ
ajst-8021	109	61	similarity	similarity	NOUN
ajst-8021	109	62	scores	score	NOUN
ajst-8021	109	63	of	of	ADP
ajst-8021	109	64	jump	jump	NOUN
ajst-8021	109	65	connections	connection	NOUN
ajst-8021	109	66	.	.	PUNCT
ajst-8021	110	1	recent	recent	ADJ
ajst-8021	110	2	works	work	NOUN
ajst-8021	110	3	such	such	ADJ
ajst-8021	110	4	as	as	ADP
ajst-8021	110	5	swin	swin	PROPN
ajst-8021	110	6	u	u	PROPN
ajst-8021	110	7	-	-	NOUN
ajst-8021	110	8	net	net	ADJ
ajst-8021	110	9	[	[	X
ajst-8021	110	10	9	9	NUM
ajst-8021	110	11	]	]	PUNCT
ajst-8021	110	12	and	and	CCONJ
ajst-8021	110	13	swin	swin	PROPN
ajst-8021	110	14	u	u	PROPN
ajst-8021	110	15	-	-	PROPN
ajst-8021	110	16	netr	netr	NOUN
ajst-8021	110	17	[	[	X
ajst-8021	110	18	50	50	NUM
ajst-8021	110	19	]	]	PUNCT
ajst-8021	110	20	have	have	AUX
ajst-8021	110	21	obtained	obtain	VERB
ajst-8021	110	22	segmentation	segmentation	NOUN
ajst-8021	110	23	performance	performance	NOUN
ajst-8021	110	24	that	that	PRON
ajst-8021	110	25	is	be	AUX
ajst-8021	110	26	not	not	PART
ajst-8021	110	27	weaker	weak	ADJ
ajst-8021	110	28	than	than	ADP
ajst-8021	110	29	pure	pure	ADJ
ajst-8021	110	30	cnns	cnn	NOUN
ajst-8021	110	31	,	,	PUNCT
ajst-8021	110	32	which	which	PRON
ajst-8021	110	33	are	be	AUX
ajst-8021	110	34	based	base	VERB
ajst-8021	110	35	on	on	ADP
ajst-8021	110	36	the	the	DET
ajst-8021	110	37	practical	practical	ADJ
ajst-8021	110	38	demonstration	demonstration	NOUN
ajst-8021	110	39	of	of	ADP
ajst-8021	110	40	swin	swin	PROPN
ajst-8021	110	41	transformer	transformer	PROPN
ajst-8021	111	1	[	[	X
ajst-8021	111	2	51	51	NUM
ajst-8021	111	3	]	]	PUNCT
ajst-8021	111	4	models	model	NOUN
ajst-8021	111	5	in	in	ADP
ajst-8021	111	6	2d	2d	NUM
ajst-8021	111	7	and	and	CCONJ
ajst-8021	111	8	3d	3d	NUM
ajst-8021	111	9	medical	medical	ADJ
ajst-8021	111	10	segmentation	segmentation	NOUN
ajst-8021	111	11	,	,	PUNCT
ajst-8021	111	12	and	and	CCONJ
ajst-8021	111	13	these	these	DET
ajst-8021	111	14	schemes	scheme	NOUN
ajst-8021	111	15	decouple	decouple	VERB
ajst-8021	111	16	the	the	DET
ajst-8021	111	17	feature	feature	NOUN
ajst-8021	111	18	extraction	extraction	NOUN
ajst-8021	111	19	process	process	NOUN
ajst-8021	111	20	into	into	ADP
ajst-8021	111	21	inter	inter	ADJ
ajst-8021	111	22	-	-	ADJ
ajst-8021	111	23	region	region	NOUN
ajst-8021	111	24	extraction	extraction	NOUN
ajst-8021	111	25	patterns	pattern	NOUN
ajst-8021	111	26	and	and	CCONJ
ajst-8021	111	27	intra	intra	ADJ
ajst-8021	111	28	-	-	ADJ
ajst-8021	111	29	region	region	NOUN
ajst-8021	111	30	extraction	extraction	NOUN
ajst-8021	111	31	patterns	pattern	NOUN
ajst-8021	111	32	implemented	implement	VERB
ajst-8021	111	33	to	to	PART
ajst-8021	111	34	indirectly	indirectly	ADV
ajst-8021	111	35	construct	construct	VERB
ajst-8021	111	36	inter	inter	ADJ
ajst-8021	111	37	-	-	ADJ
ajst-8021	111	38	region	region	ADJ
ajst-8021	111	39	information	information	NOUN
ajst-8021	111	40	transfer	transfer	NOUN
ajst-8021	111	41	by	by	ADP
ajst-8021	111	42	offsetting	offset	VERB
ajst-8021	111	43	regions	region	NOUN
ajst-8021	111	44	,	,	PUNCT
ajst-8021	111	45	this	this	DET
ajst-8021	111	46	decomposition	decomposition	NOUN
ajst-8021	111	47	mode	mode	NOUN
ajst-8021	111	48	can	can	AUX
ajst-8021	111	49	enhance	enhance	VERB
ajst-8021	111	50	the	the	DET
ajst-8021	111	51	intraregion	intraregion	NOUN
ajst-8021	111	52	attention	attention	NOUN
ajst-8021	111	53	and	and	CCONJ
ajst-8021	111	54	extract	extract	VERB
ajst-8021	111	55	more	more	ADJ
ajst-8021	111	56	reasonable	reasonable	ADJ
ajst-8021	111	57	features	feature	NOUN
ajst-8021	111	58	in	in	ADP
ajst-8021	111	59	summary	summary	NOUN
ajst-8021	111	60	,	,	PUNCT
ajst-8021	111	61	combining	combine	VERB
ajst-8021	111	62	attention	attention	NOUN
ajst-8021	111	63	mechanisms	mechanism	NOUN
ajst-8021	111	64	with	with	ADP
ajst-8021	111	65	feature	feature	NOUN
ajst-8021	111	66	perception	perception	NOUN
ajst-8021	111	67	techniques	technique	NOUN
ajst-8021	111	68	results	result	NOUN
ajst-8021	111	69	in	in	ADP
ajst-8021	111	70	highly	highly	ADV
ajst-8021	111	71	accurate	accurate	ADJ
ajst-8021	111	72	and	and	CCONJ
ajst-8021	111	73	robust	robust	ADJ
ajst-8021	111	74	task	task	NOUN
ajst-8021	111	75	performance	performance	NOUN
ajst-8021	111	76	,	,	PUNCT
ajst-8021	111	77	figure	figure	VERB
ajst-8021	111	78	5	5	NUM
ajst-8021	111	79	displays	display	VERB
ajst-8021	111	80	several	several	ADJ
ajst-8021	111	81	medical	medical	ADJ
ajst-8021	111	82	image	image	NOUN
ajst-8021	111	83	applications	application	NOUN
ajst-8021	111	84	.	.	PUNCT
ajst-8021	112	1	common	common	ADJ
ajst-8021	112	2	segmentation	segmentation	NOUN
ajst-8021	112	3	schemes	scheme	NOUN
ajst-8021	112	4	for	for	ADP
ajst-8021	112	5	attentionguided	attentionguide	VERB
ajst-8021	112	6	perception	perception	NOUN
ajst-8021	112	7	include	include	VERB
ajst-8021	112	8	jump	jump	NOUN
ajst-8021	112	9	-	-	PUNCT
ajst-8021	112	10	connection	connection	NOUN
ajst-8021	112	11	-	-	PUNCT
ajst-8021	112	12	based	base	VERB
ajst-8021	112	13	attentionguiding	attentionguiding	NOUN
ajst-8021	112	14	,	,	PUNCT
ajst-8021	112	15	multiscale	multiscale	ADJ
ajst-8021	112	16	attention	attention	NOUN
ajst-8021	112	17	-	-	PUNCT
ajst-8021	112	18	guiding	guiding	NOUN
ajst-8021	112	19	,	,	PUNCT
ajst-8021	112	20	multidimensional	multidimensional	ADJ
ajst-8021	112	21	interaction	interaction	NOUN
ajst-8021	112	22	-	-	PUNCT
ajst-8021	112	23	based	base	VERB
ajst-8021	112	24	attention	attention	NOUN
ajst-8021	112	25	-	-	PUNCT
ajst-8021	112	26	guiding	guiding	NOUN
ajst-8021	112	27	,	,	PUNCT
ajst-8021	112	28	and	and	CCONJ
ajst-8021	112	29	mask	mask	NOUN
ajst-8021	112	30	-	-	PUNCT
ajst-8021	112	31	based	base	VERB
ajst-8021	112	32	attention	attention	NOUN
ajst-8021	112	33	-	-	PUNCT
ajst-8021	112	34	guiding	guiding	NOUN
ajst-8021	112	35	.	.	PUNCT
ajst-8021	113	1	correction	correction	NOUN
ajst-8021	113	2	of	of	ADP
ajst-8021	113	3	feature	feature	NOUN
ajst-8021	113	4	strength	strength	NOUN
ajst-8021	113	5	with	with	ADP
ajst-8021	113	6	attention	attention	NOUN
ajst-8021	113	7	based	base	VERB
ajst-8021	113	8	on	on	ADP
ajst-8021	113	9	multiple	multiple	ADJ
ajst-8021	113	10	modalities	modality	NOUN
ajst-8021	113	11	in	in	ADP
ajst-8021	113	12	different	different	ADJ
ajst-8021	113	13	contexts	context	NOUN
ajst-8021	113	14	not	not	PART
ajst-8021	113	15	only	only	ADV
ajst-8021	113	16	allows	allow	VERB
ajst-8021	113	17	for	for	ADP
ajst-8021	113	18	flexible	flexible	ADJ
ajst-8021	113	19	and	and	CCONJ
ajst-8021	113	20	reasonable	reasonable	ADJ
ajst-8021	113	21	features	feature	NOUN
ajst-8021	113	22	,	,	PUNCT
ajst-8021	113	23	but	but	CCONJ
ajst-8021	113	24	also	also	ADV
ajst-8021	113	25	the	the	DET
ajst-8021	113	26	model	model	NOUN
ajst-8021	113	27	can	can	AUX
ajst-8021	113	28	learn	learn	VERB
ajst-8021	113	29	to	to	PART
ajst-8021	113	30	change	change	VERB
ajst-8021	113	31	its	its	PRON
ajst-8021	113	32	output	output	NOUN
ajst-8021	113	33	or	or	CCONJ
ajst-8021	113	34	behavior	behavior	NOUN
ajst-8021	113	35	to	to	PART
ajst-8021	113	36	be	be	AUX
ajst-8021	113	37	placed	place	VERB
ajst-8021	113	38	in	in	ADP
ajst-8021	113	39	the	the	DET
ajst-8021	113	40	best	good	ADJ
ajst-8021	113	41	representation	representation	NOUN
ajst-8021	113	42	.	.	PUNCT
ajst-8021	114	1	applying	apply	VERB
ajst-8021	114	2	the	the	DET
ajst-8021	114	3	attentionbased	attentionbase	VERB
ajst-8021	114	4	segmentation	segmentation	NOUN
ajst-8021	114	5	scheme	scheme	NOUN
ajst-8021	114	6	to	to	PART
ajst-8021	114	7	brain	brain	NOUN
ajst-8021	114	8	tumor	tumor	NOUN
ajst-8021	114	9	segmentation	segmentation	NOUN
ajst-8021	114	10	can	can	AUX
ajst-8021	114	11	assist	assist	VERB
ajst-8021	114	12	the	the	DET
ajst-8021	114	13	model	model	NOUN
ajst-8021	114	14	to	to	PART
ajst-8021	114	15	perceive	perceive	VERB
ajst-8021	114	16	multiple	multiple	ADJ
ajst-8021	114	17	tumor	tumor	NOUN
ajst-8021	114	18	area	area	NOUN
ajst-8021	114	19	locations	location	NOUN
ajst-8021	114	20	and	and	CCONJ
ajst-8021	114	21	size	size	NOUN
ajst-8021	114	22	states	state	NOUN
ajst-8021	114	23	,	,	PUNCT
ajst-8021	114	24	focus	focus	VERB
ajst-8021	114	25	on	on	ADP
ajst-8021	114	26	discriminative	discriminative	NOUN
ajst-8021	114	27	features	feature	NOUN
ajst-8021	114	28	of	of	ADP
ajst-8021	114	29	regular	regular	ADJ
ajst-8021	114	30	brain	brain	NOUN
ajst-8021	114	31	tissue	tissue	NOUN
ajst-8021	114	32	and	and	CCONJ
ajst-8021	114	33	abnormal	abnormal	ADJ
ajst-8021	114	34	tissue	tissue	NOUN
ajst-8021	114	35	,	,	PUNCT
ajst-8021	114	36	and	and	CCONJ
ajst-8021	114	37	can	can	AUX
ajst-8021	114	38	effectively	effectively	ADV
ajst-8021	114	39	avoid	avoid	VERB
ajst-8021	114	40	over	over	ADP
ajst-8021	114	41	and	and	CCONJ
ajst-8021	114	42	under	under	ADP
ajst-8021	114	43	-	-	PUNCT
ajst-8021	114	44	segmentation	segmentation	NOUN
ajst-8021	114	45	states	state	NOUN
ajst-8021	114	46	,	,	PUNCT
ajst-8021	114	47	and	and	CCONJ
ajst-8021	114	48	improve	improve	VERB
ajst-8021	114	49	tumor	tumor	NOUN
ajst-8021	114	50	detection	detection	NOUN
ajst-8021	114	51	rates	rate	NOUN
ajst-8021	114	52	.	.	PUNCT
ajst-8021	115	1	figure	figure	VERB
ajst-8021	115	2	5	5	NUM
ajst-8021	115	3	common	common	ADJ
ajst-8021	115	4	attention	attention	NOUN
ajst-8021	115	5	schemes	scheme	NOUN
ajst-8021	115	6	for	for	ADP
ajst-8021	115	7	medical	medical	ADJ
ajst-8021	115	8	image	image	NOUN
ajst-8021	115	9	applications	application	NOUN
ajst-8021	115	10	242	242	NUM
ajst-8021	115	11	4	4	NUM
ajst-8021	115	12	.	.	PUNCT
ajst-8021	116	1	conclusion	conclusion	VERB
ajst-8021	116	2	appropriate	appropriate	ADJ
ajst-8021	116	3	employment	employment	NOUN
ajst-8021	116	4	of	of	ADP
ajst-8021	116	5	attention	attention	NOUN
ajst-8021	116	6	mechanisms	mechanism	NOUN
ajst-8021	116	7	in	in	ADP
ajst-8021	116	8	medical	medical	ADJ
ajst-8021	116	9	imagery	imagery	NOUN
ajst-8021	116	10	can	can	AUX
ajst-8021	116	11	assist	assist	VERB
ajst-8021	116	12	baseline	baseline	ADJ
ajst-8021	116	13	focus	focus	NOUN
ajst-8021	116	14	on	on	ADP
ajst-8021	116	15	medical	medical	ADJ
ajst-8021	116	16	roirelated	roirelate	VERB
ajst-8021	116	17	prospects	prospect	NOUN
ajst-8021	116	18	and	and	CCONJ
ajst-8021	116	19	features	feature	NOUN
ajst-8021	116	20	.	.	PUNCT
ajst-8021	117	1	this	this	PRON
ajst-8021	117	2	enables	enable	VERB
ajst-8021	117	3	network	network	NOUN
ajst-8021	117	4	optimization	optimization	NOUN
ajst-8021	117	5	to	to	PART
ajst-8021	117	6	focus	focus	VERB
ajst-8021	117	7	near	near	ADP
ajst-8021	117	8	the	the	DET
ajst-8021	117	9	target	target	NOUN
ajst-8021	117	10	and	and	CCONJ
ajst-8021	117	11	perform	perform	VERB
ajst-8021	117	12	fine	fine	ADV
ajst-8021	117	13	-	-	PUNCT
ajst-8021	117	14	tuning	tuning	NOUN
ajst-8021	117	15	,	,	PUNCT
ajst-8021	117	16	and	and	CCONJ
ajst-8021	117	17	ultimately	ultimately	ADV
ajst-8021	117	18	benefit	benefit	VERB
ajst-8021	117	19	from	from	ADP
ajst-8021	117	20	the	the	DET
ajst-8021	117	21	model	model	NOUN
ajst-8021	117	22	's	's	PART
ajst-8021	117	23	evaluation	evaluation	NOUN
ajst-8021	117	24	metrics	metric	NOUN
ajst-8021	117	25	.	.	PUNCT
ajst-8021	118	1	in	in	ADP
ajst-8021	118	2	conclusion	conclusion	NOUN
ajst-8021	118	3	,	,	PUNCT
ajst-8021	118	4	the	the	DET
ajst-8021	118	5	attention	attention	NOUN
ajst-8021	118	6	mechanism	mechanism	NOUN
ajst-8021	118	7	plays	play	VERB
ajst-8021	118	8	an	an	DET
ajst-8021	118	9	important	important	ADJ
ajst-8021	118	10	role	role	NOUN
ajst-8021	118	11	in	in	ADP
ajst-8021	118	12	medical	medical	ADJ
ajst-8021	118	13	image	image	NOUN
ajst-8021	118	14	segmentation	segmentation	NOUN
ajst-8021	118	15	,	,	PUNCT
ajst-8021	118	16	which	which	PRON
ajst-8021	118	17	can	can	AUX
ajst-8021	118	18	help	help	VERB
ajst-8021	118	19	the	the	DET
ajst-8021	118	20	model	model	NOUN
ajst-8021	118	21	accurately	accurately	ADV
ajst-8021	118	22	segment	segment	NOUN
ajst-8021	118	23	tissues	tissue	NOUN
ajst-8021	118	24	and	and	CCONJ
ajst-8021	118	25	organs	organ	NOUN
ajst-8021	118	26	in	in	ADP
ajst-8021	118	27	medical	medical	ADJ
ajst-8021	118	28	images	image	NOUN
ajst-8021	118	29	,	,	PUNCT
ajst-8021	118	30	thus	thus	ADV
ajst-8021	118	31	improving	improve	VERB
ajst-8021	118	32	the	the	DET
ajst-8021	118	33	efficiency	efficiency	NOUN
ajst-8021	118	34	and	and	CCONJ
ajst-8021	118	35	accuracy	accuracy	NOUN
ajst-8021	118	36	of	of	ADP
ajst-8021	118	37	medical	medical	ADJ
ajst-8021	118	38	image	image	NOUN
ajst-8021	118	39	analysis	analysis	NOUN
ajst-8021	118	40	.	.	PUNCT
ajst-8021	119	1	in	in	ADP
ajst-8021	119	2	practice	practice	NOUN
ajst-8021	119	3	,	,	PUNCT
ajst-8021	119	4	a	a	DET
ajst-8021	119	5	slight	slight	ADJ
ajst-8021	119	6	improvement	improvement	NOUN
ajst-8021	119	7	can	can	AUX
ajst-8021	119	8	reduce	reduce	VERB
ajst-8021	119	9	the	the	DET
ajst-8021	119	10	risk	risk	NOUN
ajst-8021	119	11	of	of	ADP
ajst-8021	119	12	segmentation	segmentation	NOUN
ajst-8021	119	13	errors	error	NOUN
ajst-8021	119	14	and	and	CCONJ
ajst-8021	119	15	misdiagnosis	misdiagnosis	NOUN
ajst-8021	119	16	and	and	CCONJ
ajst-8021	119	17	then	then	ADV
ajst-8021	119	18	greatly	greatly	ADV
ajst-8021	119	19	improves	improve	VERB
ajst-8021	119	20	the	the	DET
ajst-8021	119	21	cure	cure	NOUN
ajst-8021	119	22	rate	rate	NOUN
ajst-8021	119	23	,	,	PUNCT
ajst-8021	119	24	so	so	SCONJ
ajst-8021	119	25	it	it	PRON
ajst-8021	119	26	has	have	VERB
ajst-8021	119	27	a	a	DET
ajst-8021	119	28	strong	strong	ADJ
ajst-8021	119	29	research	research	NOUN
ajst-8021	119	30	value	value	NOUN
ajst-8021	119	31	.	.	PUNCT
ajst-8021	120	1	in	in	ADP
ajst-8021	120	2	summary	summary	NOUN
ajst-8021	120	3	,	,	PUNCT
ajst-8021	120	4	the	the	DET
ajst-8021	120	5	practical	practical	ADJ
ajst-8021	120	6	significance	significance	NOUN
ajst-8021	120	7	of	of	ADP
ajst-8021	120	8	attention	attention	NOUN
ajst-8021	120	9	-	-	PUNCT
ajst-8021	120	10	based	base	VERB
ajst-8021	120	11	medical	medical	ADJ
ajst-8021	120	12	image	image	NOUN
ajst-8021	120	13	analysis	analysis	NOUN
ajst-8021	120	14	technology	technology	NOUN
ajst-8021	120	15	research	research	NOUN
ajst-8021	120	16	mainly	mainly	ADV
ajst-8021	120	17	includes	include	VERB
ajst-8021	120	18	the	the	DET
ajst-8021	120	19	following	follow	VERB
ajst-8021	120	20	aspects	aspect	NOUN
ajst-8021	120	21	:	:	PUNCT
ajst-8021	120	22	1	1	X
ajst-8021	120	23	.	.	X
ajst-8021	120	24	diagnosis	diagnosis	NOUN
ajst-8021	120	25	and	and	CCONJ
ajst-8021	120	26	treatment	treatment	NOUN
ajst-8021	120	27	:	:	PUNCT
ajst-8021	120	28	assist	assist	VERB
ajst-8021	120	29	physicians	physician	NOUN
ajst-8021	120	30	in	in	ADP
ajst-8021	120	31	more	more	ADV
ajst-8021	120	32	accurately	accurately	ADV
ajst-8021	120	33	determining	determine	VERB
ajst-8021	120	34	the	the	DET
ajst-8021	120	35	location	location	NOUN
ajst-8021	120	36	,	,	PUNCT
ajst-8021	120	37	size	size	NOUN
ajst-8021	120	38	,	,	PUNCT
ajst-8021	120	39	shape	shape	NOUN
ajst-8021	120	40	,	,	PUNCT
ajst-8021	120	41	and	and	CCONJ
ajst-8021	120	42	type	type	NOUN
ajst-8021	120	43	of	of	ADP
ajst-8021	120	44	tumors	tumor	NOUN
ajst-8021	120	45	.	.	PUNCT
ajst-8021	121	1	for	for	ADP
ajst-8021	121	2	example	example	NOUN
ajst-8021	121	3	,	,	PUNCT
ajst-8021	121	4	the	the	DET
ajst-8021	121	5	tumor	tumor	NOUN
ajst-8021	121	6	area	area	NOUN
ajst-8021	121	7	obtained	obtain	VERB
ajst-8021	121	8	by	by	ADP
ajst-8021	121	9	segmentation	segmentation	NOUN
ajst-8021	121	10	can	can	AUX
ajst-8021	121	11	be	be	AUX
ajst-8021	121	12	used	use	VERB
ajst-8021	121	13	for	for	ADP
ajst-8021	121	14	preoperative	preoperative	ADJ
ajst-8021	121	15	planning	planning	NOUN
ajst-8021	121	16	and	and	CCONJ
ajst-8021	121	17	intraoperative	intraoperative	ADJ
ajst-8021	121	18	localization	localization	NOUN
ajst-8021	121	19	,	,	PUNCT
ajst-8021	121	20	helping	help	VERB
ajst-8021	121	21	to	to	PART
ajst-8021	121	22	precisely	precisely	ADV
ajst-8021	121	23	remove	remove	VERB
ajst-8021	121	24	the	the	DET
ajst-8021	121	25	tumor	tumor	NOUN
ajst-8021	121	26	and	and	CCONJ
ajst-8021	121	27	minimizing	minimize	VERB
ajst-8021	121	28	damage	damage	NOUN
ajst-8021	121	29	to	to	ADP
ajst-8021	121	30	normal	normal	ADJ
ajst-8021	121	31	brain	brain	NOUN
ajst-8021	121	32	tissue	tissue	NOUN
ajst-8021	121	33	.	.	PUNCT
ajst-8021	122	1	2	2	X
ajst-8021	122	2	.	.	X
ajst-8021	122	3	research	research	NOUN
ajst-8021	122	4	and	and	CCONJ
ajst-8021	122	5	education	education	NOUN
ajst-8021	122	6	:	:	PUNCT
ajst-8021	122	7	it	it	PRON
ajst-8021	122	8	can	can	AUX
ajst-8021	122	9	be	be	AUX
ajst-8021	122	10	utilized	utilize	VERB
ajst-8021	122	11	to	to	PART
ajst-8021	122	12	compare	compare	VERB
ajst-8021	122	13	different	different	ADJ
ajst-8021	122	14	lesion	lesion	NOUN
ajst-8021	122	15	types	type	NOUN
ajst-8021	122	16	,	,	PUNCT
ajst-8021	122	17	grades	grade	NOUN
ajst-8021	122	18	,	,	PUNCT
ajst-8021	122	19	sizes	size	NOUN
ajst-8021	122	20	,	,	PUNCT
ajst-8021	122	21	and	and	CCONJ
ajst-8021	122	22	locations	location	NOUN
ajst-8021	122	23	,	,	PUNCT
ajst-8021	122	24	while	while	SCONJ
ajst-8021	122	25	it	it	PRON
ajst-8021	122	26	points	point	VERB
ajst-8021	122	27	in	in	ADP
ajst-8021	122	28	an	an	DET
ajst-8021	122	29	investigating	investigate	VERB
ajst-8021	122	30	direction	direction	NOUN
ajst-8021	122	31	of	of	ADP
ajst-8021	122	32	the	the	DET
ajst-8021	122	33	mechanisms	mechanism	NOUN
ajst-8021	122	34	of	of	ADP
ajst-8021	122	35	tumorigenesis	tumorigenesis	NOUN
ajst-8021	122	36	,	,	PUNCT
ajst-8021	122	37	growth	growth	NOUN
ajst-8021	122	38	,	,	PUNCT
ajst-8021	122	39	and	and	CCONJ
ajst-8021	122	40	spread	spread	VERB
ajst-8021	122	41	for	for	ADP
ajst-8021	122	42	medical	medical	ADJ
ajst-8021	122	43	education	education	NOUN
ajst-8021	122	44	.	.	PUNCT
ajst-8021	123	1	in	in	ADP
ajst-8021	123	2	practice	practice	NOUN
ajst-8021	123	3	,	,	PUNCT
ajst-8021	123	4	t	t	PROPN
ajst-8021	123	5	physicians	physician	NOUN
ajst-8021	123	6	'	'	PART
ajst-8021	123	7	knowledge	knowledge	NOUN
ajst-8021	123	8	and	and	CCONJ
ajst-8021	123	9	ability	ability	NOUN
ajst-8021	123	10	to	to	PART
ajst-8021	123	11	diagnose	diagnose	VERB
ajst-8021	123	12	can	can	AUX
ajst-8021	123	13	be	be	AUX
ajst-8021	123	14	improved	improve	VERB
ajst-8021	123	15	rely	rely	ADV
ajst-8021	123	16	on	on	ADP
ajst-8021	123	17	this	this	DET
ajst-8021	123	18	technique	technique	NOUN
ajst-8021	123	19	.	.	PUNCT
ajst-8021	124	1	3	3	X
ajst-8021	124	2	.	.	X
ajst-8021	124	3	improving	improve	VERB
ajst-8021	124	4	medical	medical	ADJ
ajst-8021	124	5	efficiency	efficiency	NOUN
ajst-8021	124	6	:	:	PUNCT
ajst-8021	124	7	manual	manual	ADJ
ajst-8021	124	8	examinations	examination	NOUN
ajst-8021	124	9	require	require	VERB
ajst-8021	124	10	specialized	specialized	ADJ
ajst-8021	124	11	knowledge	knowledge	NOUN
ajst-8021	124	12	and	and	CCONJ
ajst-8021	124	13	are	be	AUX
ajst-8021	124	14	less	less	ADV
ajst-8021	124	15	efficient	efficient	ADJ
ajst-8021	124	16	,	,	PUNCT
ajst-8021	124	17	and	and	CCONJ
ajst-8021	124	18	supplementing	supplement	VERB
ajst-8021	124	19	manual	manual	ADJ
ajst-8021	124	20	reading	reading	NOUN
ajst-8021	124	21	with	with	ADP
ajst-8021	124	22	low	low	ADJ
ajst-8021	124	23	-	-	PUNCT
ajst-8021	124	24	cost	cost	NOUN
ajst-8021	124	25	machine	machine	NOUN
ajst-8021	124	26	reading	read	VERB
ajst-8021	124	27	for	for	ADP
ajst-8021	124	28	disease	disease	NOUN
ajst-8021	124	29	screening	screening	NOUN
ajst-8021	124	30	and	and	CCONJ
ajst-8021	124	31	diagnosis	diagnosis	NOUN
ajst-8021	124	32	can	can	AUX
ajst-8021	124	33	reduce	reduce	VERB
ajst-8021	124	34	physician	physician	NOUN
ajst-8021	124	35	stress	stress	NOUN
ajst-8021	124	36	and	and	CCONJ
ajst-8021	124	37	improve	improve	VERB
ajst-8021	124	38	efficiency	efficiency	NOUN
ajst-8021	124	39	.	.	PUNCT
ajst-8021	125	1	4	4	X
ajst-8021	125	2	.	.	X
ajst-8021	125	3	balancing	balance	VERB
ajst-8021	125	4	regional	regional	ADJ
ajst-8021	125	5	resources	resource	NOUN
ajst-8021	125	6	:	:	PUNCT
ajst-8021	125	7	the	the	DET
ajst-8021	125	8	varying	vary	VERB
ajst-8021	125	9	levels	level	NOUN
ajst-8021	125	10	of	of	ADP
ajst-8021	125	11	physicians	physician	NOUN
ajst-8021	125	12	in	in	ADP
ajst-8021	125	13	different	different	ADJ
ajst-8021	125	14	regions	region	NOUN
ajst-8021	125	15	make	make	VERB
ajst-8021	125	16	it	it	PRON
ajst-8021	125	17	difficult	difficult	ADJ
ajst-8021	125	18	to	to	PART
ajst-8021	125	19	balance	balance	VERB
ajst-8021	125	20	and	and	CCONJ
ajst-8021	125	21	meet	meet	VERB
ajst-8021	125	22	the	the	DET
ajst-8021	125	23	growing	grow	VERB
ajst-8021	125	24	demand	demand	NOUN
ajst-8021	125	25	for	for	ADP
ajst-8021	125	26	medical	medical	ADJ
ajst-8021	125	27	care	care	NOUN
ajst-8021	125	28	,	,	PUNCT
ajst-8021	125	29	and	and	CCONJ
ajst-8021	125	30	automated	automate	VERB
ajst-8021	125	31	medical	medical	ADJ
ajst-8021	125	32	analysis	analysis	NOUN
ajst-8021	125	33	has	have	VERB
ajst-8021	125	34	a	a	DET
ajst-8021	125	35	positive	positive	ADJ
ajst-8021	125	36	impact	impact	NOUN
ajst-8021	125	37	on	on	ADP
ajst-8021	125	38	balancing	balance	VERB
ajst-8021	125	39	regional	regional	ADJ
ajst-8021	125	40	resources	resource	NOUN
ajst-8021	125	41	and	and	CCONJ
ajst-8021	125	42	alleviating	alleviate	VERB
ajst-8021	125	43	social	social	ADJ
ajst-8021	125	44	conflicts	conflict	NOUN
ajst-8021	125	45	references	reference	NOUN
ajst-8021	125	46	[	[	X
ajst-8021	125	47	1	1	NUM
ajst-8021	125	48	]	]	PUNCT
ajst-8021	125	49	a.	a.	NOUN
ajst-8021	125	50	krizhevsky	krizhevsky	PROPN
ajst-8021	125	51	,	,	PUNCT
ajst-8021	125	52	i.	i.	PROPN
ajst-8021	125	53	sutskever	sutskever	PROPN
ajst-8021	125	54	,	,	PUNCT
ajst-8021	125	55	and	and	CCONJ
ajst-8021	125	56	g.	g.	PROPN
ajst-8021	125	57	e.	e.	PROPN
ajst-8021	125	58	hinton	hinton	PROPN
ajst-8021	125	59	,	,	PUNCT
ajst-8021	125	60	"	"	PUNCT
ajst-8021	125	61	imagenet	imagenet	ADJ
ajst-8021	125	62	classification	classification	NOUN
ajst-8021	125	63	with	with	ADP
ajst-8021	125	64	deep	deep	ADJ
ajst-8021	125	65	convolutional	convolutional	ADJ
ajst-8021	125	66	neural	neural	ADJ
ajst-8021	125	67	networks	network	NOUN
ajst-8021	125	68	,	,	PUNCT
ajst-8021	125	69	"	"	PUNCT
ajst-8021	125	70	communications	communication	NOUN
ajst-8021	125	71	of	of	ADP
ajst-8021	125	72	the	the	DET
ajst-8021	125	73	acm	acm	NOUN
ajst-8021	125	74	,	,	PUNCT
ajst-8021	125	75	vol	vol	NOUN
ajst-8021	125	76	.	.	PROPN
ajst-8021	125	77	60	60	NUM
ajst-8021	125	78	,	,	PUNCT
ajst-8021	125	79	no	no	INTJ
ajst-8021	125	80	.	.	NOUN
ajst-8021	125	81	6	6	NUM
ajst-8021	125	82	,	,	PUNCT
ajst-8021	125	83	pp	pp	ADJ
ajst-8021	125	84	.	.	PUNCT
ajst-8021	126	1	84	84	NUM
ajst-8021	126	2	-	-	SYM
ajst-8021	126	3	90	90	NUM
ajst-8021	126	4	,	,	PUNCT
ajst-8021	126	5	2017	2017	NUM
ajst-8021	126	6	.	.	PUNCT
ajst-8021	127	1	[	[	X
ajst-8021	127	2	2	2	X
ajst-8021	127	3	]	]	PUNCT
ajst-8021	127	4	k.	k.	NOUN
ajst-8021	128	1	he	he	PROPN
ajst-8021	128	2	,	,	PUNCT
ajst-8021	128	3	x.	x.	PROPN
ajst-8021	128	4	zhang	zhang	PROPN
ajst-8021	128	5	,	,	PUNCT
ajst-8021	128	6	s.	s.	PROPN
ajst-8021	128	7	ren	ren	PROPN
ajst-8021	128	8	,	,	PUNCT
ajst-8021	128	9	and	and	CCONJ
ajst-8021	128	10	j.	j.	PROPN
ajst-8021	128	11	sun	sun	PROPN
ajst-8021	128	12	,	,	PUNCT
ajst-8021	128	13	"	"	PUNCT
ajst-8021	128	14	deep	deep	ADJ
ajst-8021	128	15	residual	residual	ADJ
ajst-8021	128	16	learning	learning	NOUN
ajst-8021	128	17	for	for	ADP
ajst-8021	128	18	image	image	NOUN
ajst-8021	128	19	recognition	recognition	NOUN
ajst-8021	128	20	,	,	PUNCT
ajst-8021	128	21	"	"	PUNCT
ajst-8021	128	22	in	in	ADP
ajst-8021	128	23	proceedings	proceeding	NOUN
ajst-8021	128	24	of	of	ADP
ajst-8021	128	25	the	the	DET
ajst-8021	128	26	ieee	ieee	NOUN
ajst-8021	128	27	conference	conference	NOUN
ajst-8021	128	28	on	on	ADP
ajst-8021	128	29	computer	computer	NOUN
ajst-8021	128	30	vision	vision	NOUN
ajst-8021	128	31	and	and	CCONJ
ajst-8021	128	32	pattern	pattern	NOUN
ajst-8021	128	33	recognition	recognition	NOUN
ajst-8021	128	34	,	,	PUNCT
ajst-8021	128	35	2016	2016	NUM
ajst-8021	128	36	,	,	PUNCT
ajst-8021	128	37	pp	pp	ADJ
ajst-8021	128	38	.	.	PUNCT
ajst-8021	129	1	770	770	NUM
ajst-8021	129	2	-	-	SYM
ajst-8021	129	3	778	778	NUM
ajst-8021	129	4	.	.	PUNCT
ajst-8021	130	1	[	[	X
ajst-8021	130	2	3	3	X
ajst-8021	130	3	]	]	X
ajst-8021	130	4	j.	j.	PROPN
ajst-8021	130	5	hu	hu	PROPN
ajst-8021	130	6	,	,	PUNCT
ajst-8021	130	7	l.	l.	PROPN
ajst-8021	130	8	shen	shen	PROPN
ajst-8021	130	9	,	,	PUNCT
ajst-8021	130	10	and	and	CCONJ
ajst-8021	130	11	g.	g.	PROPN
ajst-8021	130	12	sun	sun	PROPN
ajst-8021	130	13	,	,	PUNCT
ajst-8021	130	14	"	"	PUNCT
ajst-8021	130	15	squeeze	squeeze	NOUN
ajst-8021	130	16	-	-	PUNCT
ajst-8021	130	17	and	and	CCONJ
ajst-8021	130	18	-	-	PUNCT
ajst-8021	130	19	excitation	excitation	NOUN
ajst-8021	130	20	networks	network	NOUN
ajst-8021	130	21	,	,	PUNCT
ajst-8021	130	22	"	"	PUNCT
ajst-8021	130	23	in	in	ADP
ajst-8021	130	24	proceedings	proceeding	NOUN
ajst-8021	130	25	of	of	ADP
ajst-8021	130	26	the	the	DET
ajst-8021	130	27	ieee	ieee	NOUN
ajst-8021	130	28	conference	conference	NOUN
ajst-8021	130	29	on	on	ADP
ajst-8021	130	30	computer	computer	NOUN
ajst-8021	130	31	vision	vision	NOUN
ajst-8021	130	32	and	and	CCONJ
ajst-8021	130	33	pattern	pattern	NOUN
ajst-8021	130	34	recognition	recognition	NOUN
ajst-8021	130	35	,	,	PUNCT
ajst-8021	130	36	2018	2018	NUM
ajst-8021	130	37	,	,	PUNCT
ajst-8021	130	38	pp	pp	ADJ
ajst-8021	130	39	.	.	PUNCT
ajst-8021	130	40	7132	7132	NUM
ajst-8021	130	41	-	-	SYM
ajst-8021	130	42	7141	7141	NUM
ajst-8021	130	43	.	.	PUNCT
ajst-8021	131	1	[	[	X
ajst-8021	131	2	4	4	X
ajst-8021	131	3	]	]	PUNCT
ajst-8021	131	4	k.	k.	NOUN
ajst-8021	131	5	simonyan	simonyan	PROPN
ajst-8021	131	6	and	and	CCONJ
ajst-8021	131	7	a.	a.	NOUN
ajst-8021	131	8	zisserman	zisserman	PROPN
ajst-8021	131	9	,	,	PUNCT
ajst-8021	131	10	"	"	PUNCT
ajst-8021	131	11	very	very	ADV
ajst-8021	131	12	deep	deep	ADJ
ajst-8021	131	13	convolutional	convolutional	ADJ
ajst-8021	131	14	networks	network	NOUN
ajst-8021	131	15	for	for	ADP
ajst-8021	131	16	large	large	ADJ
ajst-8021	131	17	-	-	PUNCT
ajst-8021	131	18	scale	scale	NOUN
ajst-8021	131	19	image	image	NOUN
ajst-8021	131	20	recognition	recognition	NOUN
ajst-8021	131	21	,	,	PUNCT
ajst-8021	131	22	"	"	PUNCT
ajst-8021	131	23	arxiv	arxiv	PROPN
ajst-8021	131	24	preprint	preprint	NOUN
ajst-8021	131	25	arxiv:1409.1556	arxiv:1409.1556	NOUN
ajst-8021	131	26	,	,	PUNCT
ajst-8021	131	27	2014	2014	NUM
ajst-8021	131	28	.	.	PUNCT
ajst-8021	132	1	[	[	X
ajst-8021	132	2	5	5	X
ajst-8021	132	3	]	]	PUNCT
ajst-8021	132	4	s.	s.	PROPN
ajst-8021	132	5	xie	xie	PROPN
ajst-8021	132	6	,	,	PUNCT
ajst-8021	132	7	r.	r.	PROPN
ajst-8021	132	8	girshick	girshick	PROPN
ajst-8021	132	9	,	,	PUNCT
ajst-8021	132	10	p.	p.	NOUN
ajst-8021	132	11	dollár	dollár	NOUN
ajst-8021	132	12	,	,	PUNCT
ajst-8021	132	13	z.	z.	PROPN
ajst-8021	132	14	tu	tu	PROPN
ajst-8021	132	15	,	,	PUNCT
ajst-8021	132	16	and	and	CCONJ
ajst-8021	132	17	k.	k.	PROPN
ajst-8021	132	18	he	he	PRON
ajst-8021	132	19	,	,	PUNCT
ajst-8021	132	20	"	"	PUNCT
ajst-8021	132	21	aggregated	aggregate	VERB
ajst-8021	132	22	residual	residual	ADJ
ajst-8021	132	23	transformations	transformation	NOUN
ajst-8021	132	24	for	for	ADP
ajst-8021	132	25	deep	deep	ADJ
ajst-8021	132	26	neural	neural	ADJ
ajst-8021	132	27	networks	network	NOUN
ajst-8021	132	28	,	,	PUNCT
ajst-8021	132	29	"	"	PUNCT
ajst-8021	132	30	in	in	ADP
ajst-8021	132	31	proceedings	proceeding	NOUN
ajst-8021	132	32	of	of	ADP
ajst-8021	132	33	the	the	DET
ajst-8021	132	34	ieee	ieee	NOUN
ajst-8021	132	35	conference	conference	NOUN
ajst-8021	132	36	on	on	ADP
ajst-8021	132	37	computer	computer	NOUN
ajst-8021	132	38	vision	vision	NOUN
ajst-8021	132	39	and	and	CCONJ
ajst-8021	132	40	pattern	pattern	NOUN
ajst-8021	132	41	recognition	recognition	NOUN
ajst-8021	132	42	,	,	PUNCT
ajst-8021	132	43	2017	2017	NUM
ajst-8021	132	44	,	,	PUNCT
ajst-8021	132	45	pp	pp	ADJ
ajst-8021	132	46	.	.	PUNCT
ajst-8021	133	1	1492	1492	NUM
ajst-8021	133	2	-	-	SYM
ajst-8021	133	3	1500	1500	NUM
ajst-8021	133	4	.	.	PUNCT
ajst-8021	134	1	[	[	X
ajst-8021	134	2	6	6	NUM
ajst-8021	134	3	]	]	PUNCT
ajst-8021	134	4	m.	m.	NOUN
ajst-8021	134	5	d.	d.	PROPN
ajst-8021	134	6	zeiler	zeiler	PROPN
ajst-8021	134	7	and	and	CCONJ
ajst-8021	134	8	r.	r.	PROPN
ajst-8021	134	9	fergus	fergus	PROPN
ajst-8021	134	10	,	,	PUNCT
ajst-8021	134	11	"	"	PUNCT
ajst-8021	134	12	visualizing	visualize	VERB
ajst-8021	134	13	and	and	CCONJ
ajst-8021	134	14	understanding	understand	VERB
ajst-8021	134	15	convolutional	convolutional	ADJ
ajst-8021	134	16	networks	network	NOUN
ajst-8021	134	17	,	,	PUNCT
ajst-8021	134	18	"	"	PUNCT
ajst-8021	134	19	in	in	ADP
ajst-8021	134	20	computer	computer	NOUN
ajst-8021	134	21	vision	vision	NOUN
ajst-8021	134	22	–	–	PUNCT
ajst-8021	134	23	eccv	eccv	ADJ
ajst-8021	134	24	2014	2014	NUM
ajst-8021	134	25	:	:	PUNCT
ajst-8021	134	26	13th	13th	ADJ
ajst-8021	134	27	european	european	PROPN
ajst-8021	134	28	conference	conference	PROPN
ajst-8021	134	29	,	,	PUNCT
ajst-8021	134	30	zurich	zurich	PROPN
ajst-8021	134	31	,	,	PUNCT
ajst-8021	134	32	switzerland	switzerland	PROPN
ajst-8021	134	33	,	,	PUNCT
ajst-8021	134	34	september	september	PROPN
ajst-8021	134	35	612	612	NUM
ajst-8021	134	36	,	,	PUNCT
ajst-8021	134	37	2014	2014	NUM
ajst-8021	134	38	,	,	PUNCT
ajst-8021	134	39	proceedings	proceeding	NOUN
ajst-8021	134	40	,	,	PUNCT
ajst-8021	134	41	part	part	NOUN
ajst-8021	134	42	i	i	PRON
ajst-8021	134	43	13	13	NUM
ajst-8021	134	44	,	,	PUNCT
ajst-8021	134	45	2014	2014	NUM
ajst-8021	134	46	:	:	PUNCT
ajst-8021	134	47	springer	springer	NOUN
ajst-8021	134	48	,	,	PUNCT
ajst-8021	134	49	pp	pp	ADP
ajst-8021	134	50	.	.	PUNCT
ajst-8021	134	51	818	818	NUM
ajst-8021	134	52	-	-	SYM
ajst-8021	134	53	833	833	NUM
ajst-8021	134	54	.	.	PUNCT
ajst-8021	135	1	[	[	X
ajst-8021	135	2	7	7	X
ajst-8021	135	3	]	]	X
ajst-8021	135	4	m.	m.	NOUN
ajst-8021	135	5	mubashar	mubashar	NOUN
ajst-8021	135	6	,	,	PUNCT
ajst-8021	135	7	h.	h.	PROPN
ajst-8021	135	8	ali	ali	PROPN
ajst-8021	135	9	,	,	PUNCT
ajst-8021	135	10	c.	c.	PROPN
ajst-8021	135	11	grönlund	grönlund	PROPN
ajst-8021	135	12	,	,	PUNCT
ajst-8021	135	13	and	and	CCONJ
ajst-8021	135	14	s.	s.	PROPN
ajst-8021	135	15	azmat	azmat	PROPN
ajst-8021	135	16	,	,	PUNCT
ajst-8021	135	17	"	"	PUNCT
ajst-8021	135	18	r2u++	r2u++	PROPN
ajst-8021	135	19	:	:	PUNCT
ajst-8021	135	20	a	a	DET
ajst-8021	135	21	multiscale	multiscale	ADJ
ajst-8021	135	22	recurrent	recurrent	NOUN
ajst-8021	135	23	residual	residual	ADJ
ajst-8021	135	24	u	u	NOUN
ajst-8021	135	25	-	-	NOUN
ajst-8021	135	26	net	net	ADJ
ajst-8021	135	27	with	with	ADP
ajst-8021	135	28	dense	dense	ADJ
ajst-8021	135	29	skip	skip	ADJ
ajst-8021	135	30	connections	connection	NOUN
ajst-8021	135	31	for	for	ADP
ajst-8021	135	32	medical	medical	ADJ
ajst-8021	135	33	image	image	NOUN
ajst-8021	135	34	segmentation	segmentation	NOUN
ajst-8021	135	35	,	,	PUNCT
ajst-8021	135	36	"	"	PUNCT
ajst-8021	135	37	neural	neural	ADJ
ajst-8021	135	38	computing	computing	NOUN
ajst-8021	135	39	and	and	CCONJ
ajst-8021	135	40	applications	application	NOUN
ajst-8021	135	41	,	,	PUNCT
ajst-8021	135	42	vol	vol	NOUN
ajst-8021	135	43	.	.	PROPN
ajst-8021	135	44	34	34	NUM
ajst-8021	135	45	,	,	PUNCT
ajst-8021	135	46	no	no	INTJ
ajst-8021	135	47	.	.	NOUN
ajst-8021	135	48	20	20	NUM
ajst-8021	135	49	,	,	PUNCT
ajst-8021	135	50	pp	pp	ADJ
ajst-8021	135	51	.	.	PUNCT
ajst-8021	135	52	17723	17723	NUM
ajst-8021	135	53	-	-	SYM
ajst-8021	135	54	17739	17739	NUM
ajst-8021	135	55	,	,	PUNCT
ajst-8021	135	56	2022	2022	NUM
ajst-8021	135	57	.	.	PUNCT
ajst-8021	136	1	[	[	X
ajst-8021	136	2	8	8	X
ajst-8021	136	3	]	]	X
ajst-8021	136	4	j.	j.	PROPN
ajst-8021	136	5	m.	m.	PROPN
ajst-8021	136	6	j.	j.	PROPN
ajst-8021	136	7	valanarasu	valanarasu	PROPN
ajst-8021	136	8	and	and	CCONJ
ajst-8021	136	9	v.	v.	ADP
ajst-8021	136	10	m.	m.	NOUN
ajst-8021	136	11	patel	patel	PROPN
ajst-8021	136	12	,	,	PUNCT
ajst-8021	136	13	"	"	PUNCT
ajst-8021	136	14	unext	unext	ADJ
ajst-8021	136	15	:	:	PUNCT
ajst-8021	136	16	mlp	mlp	NOUN
ajst-8021	136	17	-	-	PUNCT
ajst-8021	136	18	based	base	VERB
ajst-8021	136	19	rapid	rapid	ADJ
ajst-8021	136	20	medical	medical	ADJ
ajst-8021	136	21	image	image	NOUN
ajst-8021	136	22	segmentation	segmentation	NOUN
ajst-8021	136	23	network	network	NOUN
ajst-8021	136	24	,	,	PUNCT
ajst-8021	136	25	"	"	PUNCT
ajst-8021	136	26	in	in	ADP
ajst-8021	136	27	medical	medical	ADJ
ajst-8021	136	28	image	image	NOUN
ajst-8021	136	29	computing	computing	NOUN
ajst-8021	136	30	and	and	CCONJ
ajst-8021	136	31	computer	computer	NOUN
ajst-8021	136	32	assisted	assist	VERB
ajst-8021	136	33	intervention	intervention	NOUN
ajst-8021	136	34	–	–	PUNCT
ajst-8021	136	35	miccai	miccai	NOUN
ajst-8021	136	36	2022	2022	NUM
ajst-8021	136	37	:	:	PUNCT
ajst-8021	136	38	25th	25th	ADJ
ajst-8021	136	39	international	international	ADJ
ajst-8021	136	40	conference	conference	NOUN
ajst-8021	136	41	,	,	PUNCT
ajst-8021	136	42	singapore	singapore	PROPN
ajst-8021	136	43	,	,	PUNCT
ajst-8021	136	44	september	september	PROPN
ajst-8021	136	45	18–22	18–22	NUM
ajst-8021	136	46	,	,	PUNCT
ajst-8021	136	47	2022	2022	NUM
ajst-8021	136	48	,	,	PUNCT
ajst-8021	136	49	proceedings	proceeding	NOUN
ajst-8021	136	50	,	,	PUNCT
ajst-8021	136	51	part	part	NOUN
ajst-8021	136	52	v	v	NOUN
ajst-8021	136	53	,	,	PUNCT
ajst-8021	136	54	2022	2022	NUM
ajst-8021	136	55	:	:	PUNCT
ajst-8021	136	56	springer	springer	NOUN
ajst-8021	136	57	,	,	PUNCT
ajst-8021	136	58	pp	pp	ADJ
ajst-8021	136	59	.	.	PUNCT
ajst-8021	137	1	23	23	NUM
ajst-8021	137	2	-	-	SYM
ajst-8021	137	3	33	33	NUM
ajst-8021	137	4	.	.	PUNCT
ajst-8021	138	1	[	[	X
ajst-8021	138	2	9	9	NUM
ajst-8021	138	3	]	]	PUNCT
ajst-8021	138	4	h.	h.	PROPN
ajst-8021	138	5	cao	cao	PROPN
ajst-8021	138	6	et	et	PROPN
ajst-8021	138	7	al	al	PROPN
ajst-8021	138	8	.	.	PROPN
ajst-8021	138	9	,	,	PUNCT
ajst-8021	138	10	"	"	PUNCT
ajst-8021	138	11	swin	swin	PROPN
ajst-8021	138	12	-	-	PUNCT
ajst-8021	138	13	unet	unet	NOUN
ajst-8021	138	14	:	:	PUNCT
ajst-8021	138	15	unet	unet	NOUN
ajst-8021	138	16	-	-	PUNCT
ajst-8021	138	17	like	like	ADJ
ajst-8021	138	18	pure	pure	ADJ
ajst-8021	138	19	transformer	transformer	NOUN
ajst-8021	138	20	for	for	ADP
ajst-8021	138	21	medical	medical	ADJ
ajst-8021	138	22	image	image	NOUN
ajst-8021	138	23	segmentation	segmentation	NOUN
ajst-8021	138	24	,	,	PUNCT
ajst-8021	138	25	"	"	PUNCT
ajst-8021	138	26	in	in	ADP
ajst-8021	138	27	computer	computer	NOUN
ajst-8021	138	28	vision	vision	NOUN
ajst-8021	138	29	–	–	PUNCT
ajst-8021	138	30	eccv	eccv	ADJ
ajst-8021	138	31	2022	2022	NUM
ajst-8021	138	32	workshops	workshop	NOUN
ajst-8021	138	33	:	:	PUNCT
ajst-8021	138	34	tel	tel	PROPN
ajst-8021	138	35	aviv	aviv	PROPN
ajst-8021	138	36	,	,	PUNCT
ajst-8021	138	37	israel	israel	PROPN
ajst-8021	138	38	,	,	PUNCT
ajst-8021	138	39	october	october	PROPN
ajst-8021	138	40	23–27	23–27	NUM
ajst-8021	138	41	,	,	PUNCT
ajst-8021	138	42	2022	2022	NUM
ajst-8021	138	43	,	,	PUNCT
ajst-8021	138	44	proceedings	proceeding	NOUN
ajst-8021	138	45	,	,	PUNCT
ajst-8021	138	46	part	part	NOUN
ajst-8021	138	47	iii	iii	NOUN
ajst-8021	138	48	,	,	PUNCT
ajst-8021	138	49	2023	2023	NUM
ajst-8021	138	50	:	:	PUNCT
ajst-8021	138	51	springer	springer	NOUN
ajst-8021	138	52	,	,	PUNCT
ajst-8021	138	53	pp	pp	ADP
ajst-8021	138	54	.	.	PUNCT
ajst-8021	138	55	205	205	NUM
ajst-8021	138	56	-	-	SYM
ajst-8021	138	57	218	218	NUM
ajst-8021	138	58	.	.	PUNCT
ajst-8021	139	1	[	[	X
ajst-8021	139	2	10	10	NUM
ajst-8021	139	3	]	]	PUNCT
ajst-8021	139	4	s.	s.	PROPN
ajst-8021	139	5	xun	xun	PROPN
ajst-8021	139	6	et	et	PROPN
ajst-8021	139	7	al	al	PROPN
ajst-8021	139	8	.	.	PROPN
ajst-8021	139	9	,	,	PUNCT
ajst-8021	139	10	"	"	PUNCT
ajst-8021	139	11	generative	generative	ADJ
ajst-8021	139	12	adversarial	adversarial	ADJ
ajst-8021	139	13	networks	network	NOUN
ajst-8021	139	14	in	in	ADP
ajst-8021	139	15	medical	medical	ADJ
ajst-8021	139	16	image	image	NOUN
ajst-8021	139	17	segmentation	segmentation	NOUN
ajst-8021	139	18	:	:	PUNCT
ajst-8021	139	19	a	a	DET
ajst-8021	139	20	review	review	NOUN
ajst-8021	139	21	,	,	PUNCT
ajst-8021	139	22	"	"	PUNCT
ajst-8021	139	23	computers	computer	NOUN
ajst-8021	139	24	in	in	ADP
ajst-8021	139	25	biology	biology	NOUN
ajst-8021	139	26	and	and	CCONJ
ajst-8021	139	27	medicine	medicine	NOUN
ajst-8021	139	28	,	,	PUNCT
ajst-8021	139	29	vol	vol	NOUN
ajst-8021	139	30	.	.	PROPN
ajst-8021	139	31	140	140	NUM
ajst-8021	139	32	,	,	PUNCT
ajst-8021	139	33	p.	p.	NOUN
ajst-8021	139	34	105063	105063	NUM
ajst-8021	139	35	,	,	PUNCT
ajst-8021	139	36	2022	2022	NUM
ajst-8021	139	37	.	.	PUNCT
ajst-8021	140	1	[	[	X
ajst-8021	140	2	11	11	NUM
ajst-8021	140	3	]	]	X
ajst-8021	140	4	v.	v.	CCONJ
ajst-8021	140	5	thambawita	thambawita	INTJ
ajst-8021	140	6	et	et	PROPN
ajst-8021	140	7	al	al	PROPN
ajst-8021	140	8	.	.	PROPN
ajst-8021	140	9	,	,	PUNCT
ajst-8021	140	10	"	"	PUNCT
ajst-8021	140	11	singan	singan	NOUN
ajst-8021	140	12	-	-	PUNCT
ajst-8021	140	13	seg	seg	NOUN
ajst-8021	140	14	:	:	PUNCT
ajst-8021	140	15	synthetic	synthetic	ADJ
ajst-8021	140	16	training	training	NOUN
ajst-8021	140	17	data	data	NOUN
ajst-8021	140	18	generation	generation	NOUN
ajst-8021	140	19	for	for	ADP
ajst-8021	140	20	medical	medical	ADJ
ajst-8021	140	21	image	image	NOUN
ajst-8021	140	22	segmentation	segmentation	NOUN
ajst-8021	140	23	,	,	PUNCT
ajst-8021	140	24	"	"	PUNCT
ajst-8021	140	25	plos	plos	PROPN
ajst-8021	140	26	one	one	NUM
ajst-8021	140	27	,	,	PUNCT
ajst-8021	140	28	vol	vol	NOUN
ajst-8021	140	29	.	.	PROPN
ajst-8021	140	30	17	17	NUM
ajst-8021	140	31	,	,	PUNCT
ajst-8021	140	32	no	no	INTJ
ajst-8021	140	33	.	.	NOUN
ajst-8021	140	34	5	5	NUM
ajst-8021	140	35	,	,	PUNCT
ajst-8021	140	36	p.	p.	NOUN
ajst-8021	140	37	e0267976	e0267976	PROPN
ajst-8021	140	38	,	,	PUNCT
ajst-8021	140	39	2022	2022	NUM
ajst-8021	140	40	.	.	PUNCT
ajst-8021	141	1	[	[	X
ajst-8021	141	2	12	12	NUM
ajst-8021	141	3	]	]	X
ajst-8021	141	4	j.	j.	PROPN
ajst-8021	141	5	park	park	PROPN
ajst-8021	141	6	,	,	PUNCT
ajst-8021	141	7	s.	s.	PROPN
ajst-8021	141	8	woo	woo	PROPN
ajst-8021	141	9	,	,	PUNCT
ajst-8021	141	10	j.-y	j.-y	PROPN
ajst-8021	141	11	.	.	PUNCT
ajst-8021	141	12	lee	lee	PROPN
ajst-8021	141	13	,	,	PUNCT
ajst-8021	141	14	and	and	CCONJ
ajst-8021	141	15	i.	i.	PROPN
ajst-8021	141	16	s.	s.	PROPN
ajst-8021	141	17	kweon	kweon	PROPN
ajst-8021	141	18	,	,	PUNCT
ajst-8021	141	19	"	"	PUNCT
ajst-8021	141	20	bam	bam	NOUN
ajst-8021	141	21	:	:	PUNCT
ajst-8021	141	22	bottleneck	bottleneck	NOUN
ajst-8021	141	23	attention	attention	NOUN
ajst-8021	141	24	module	module	NOUN
ajst-8021	141	25	,	,	PUNCT
ajst-8021	141	26	"	"	PUNCT
ajst-8021	141	27	arxiv	arxiv	PROPN
ajst-8021	141	28	preprint	preprint	NOUN
ajst-8021	141	29	arxiv:1807.06514	arxiv:1807.06514	NOUN
ajst-8021	141	30	,	,	PUNCT
ajst-8021	141	31	2018	2018	NUM
ajst-8021	141	32	.	.	PUNCT
ajst-8021	142	1	[	[	X
ajst-8021	142	2	13	13	NUM
ajst-8021	142	3	]	]	PUNCT
ajst-8021	142	4	s.	s.	PROPN
ajst-8021	142	5	woo	woo	PROPN
ajst-8021	142	6	,	,	PUNCT
ajst-8021	142	7	j.	j.	PROPN
ajst-8021	142	8	park	park	PROPN
ajst-8021	142	9	,	,	PUNCT
ajst-8021	142	10	j.-y	j.-y	PROPN
ajst-8021	142	11	.	.	PUNCT
ajst-8021	143	1	lee	lee	PROPN
ajst-8021	143	2	,	,	PUNCT
ajst-8021	143	3	and	and	CCONJ
ajst-8021	143	4	i.	i.	PROPN
ajst-8021	143	5	s.	s.	PROPN
ajst-8021	143	6	kweon	kweon	PROPN
ajst-8021	143	7	,	,	PUNCT
ajst-8021	143	8	"	"	PUNCT
ajst-8021	143	9	cbam	cbam	NOUN
ajst-8021	143	10	:	:	PUNCT
ajst-8021	143	11	convolutional	convolutional	ADJ
ajst-8021	143	12	block	block	NOUN
ajst-8021	143	13	attention	attention	NOUN
ajst-8021	143	14	module	module	NOUN
ajst-8021	143	15	,	,	PUNCT
ajst-8021	143	16	"	"	PUNCT
ajst-8021	143	17	in	in	ADP
ajst-8021	143	18	proceedings	proceeding	NOUN
ajst-8021	143	19	of	of	ADP
ajst-8021	143	20	the	the	DET
ajst-8021	143	21	european	european	PROPN
ajst-8021	143	22	conference	conference	PROPN
ajst-8021	143	23	on	on	ADP
ajst-8021	143	24	computer	computer	NOUN
ajst-8021	143	25	vision	vision	NOUN
ajst-8021	143	26	(	(	PUNCT
ajst-8021	143	27	eccv	eccv	ADV
ajst-8021	143	28	)	)	PUNCT
ajst-8021	143	29	,	,	PUNCT
ajst-8021	143	30	2018	2018	NUM
ajst-8021	143	31	,	,	PUNCT
ajst-8021	143	32	pp	pp	ADJ
ajst-8021	143	33	.	.	PUNCT
ajst-8021	144	1	319	319	NUM
ajst-8021	144	2	.	.	PUNCT
ajst-8021	145	1	[	[	X
ajst-8021	145	2	14	14	NUM
ajst-8021	145	3	]	]	X
ajst-8021	145	4	j.	j.	PROPN
ajst-8021	145	5	hu	hu	PROPN
ajst-8021	145	6	,	,	PUNCT
ajst-8021	145	7	l.	l.	PROPN
ajst-8021	145	8	shen	shen	PROPN
ajst-8021	145	9	,	,	PUNCT
ajst-8021	145	10	s.	s.	PROPN
ajst-8021	145	11	albanie	albanie	PROPN
ajst-8021	145	12	,	,	PUNCT
ajst-8021	145	13	g.	g.	PROPN
ajst-8021	145	14	sun	sun	PROPN
ajst-8021	145	15	,	,	PUNCT
ajst-8021	145	16	and	and	CCONJ
ajst-8021	145	17	a.	a.	NOUN
ajst-8021	145	18	vedaldi	vedaldi	NOUN
ajst-8021	145	19	,	,	PUNCT
ajst-8021	145	20	"	"	PUNCT
ajst-8021	145	21	gatherexcite	gatherexcite	NOUN
ajst-8021	145	22	:	:	PUNCT
ajst-8021	145	23	exploiting	exploit	VERB
ajst-8021	145	24	feature	feature	NOUN
ajst-8021	145	25	context	context	NOUN
ajst-8021	145	26	in	in	ADP
ajst-8021	145	27	convolutional	convolutional	ADJ
ajst-8021	145	28	neural	neural	ADJ
ajst-8021	145	29	networks	network	NOUN
ajst-8021	145	30	,	,	PUNCT
ajst-8021	145	31	"	"	PUNCT
ajst-8021	145	32	advances	advance	NOUN
ajst-8021	145	33	in	in	ADP
ajst-8021	145	34	neural	neural	ADJ
ajst-8021	145	35	information	information	NOUN
ajst-8021	145	36	processing	processing	NOUN
ajst-8021	145	37	systems	system	NOUN
ajst-8021	145	38	,	,	PUNCT
ajst-8021	145	39	vol	vol	NOUN
ajst-8021	145	40	.	.	PROPN
ajst-8021	145	41	31	31	NUM
ajst-8021	145	42	,	,	PUNCT
ajst-8021	145	43	2018	2018	NUM
ajst-8021	145	44	.	.	PUNCT
ajst-8021	146	1	[	[	X
ajst-8021	146	2	15	15	NUM
ajst-8021	146	3	]	]	PUNCT
ajst-8021	146	4	a.	a.	NOUN
ajst-8021	146	5	vaswani	vaswani	PROPN
ajst-8021	146	6	et	et	PROPN
ajst-8021	146	7	al	al	PROPN
ajst-8021	146	8	.	.	PROPN
ajst-8021	146	9	,	,	PUNCT
ajst-8021	146	10	"	"	PUNCT
ajst-8021	146	11	attention	attention	NOUN
ajst-8021	146	12	is	be	AUX
ajst-8021	146	13	all	all	PRON
ajst-8021	146	14	you	you	PRON
ajst-8021	146	15	need	need	VERB
ajst-8021	146	16	,	,	PUNCT
ajst-8021	146	17	"	"	PUNCT
ajst-8021	146	18	advances	advance	NOUN
ajst-8021	146	19	in	in	ADP
ajst-8021	146	20	neural	neural	ADJ
ajst-8021	146	21	information	information	NOUN
ajst-8021	146	22	processing	processing	NOUN
ajst-8021	146	23	systems	system	NOUN
ajst-8021	146	24	,	,	PUNCT
ajst-8021	146	25	vol	vol	NOUN
ajst-8021	146	26	.	.	PROPN
ajst-8021	146	27	30	30	NUM
ajst-8021	146	28	,	,	PUNCT
ajst-8021	146	29	2017	2017	NUM
ajst-8021	146	30	.	.	PUNCT
ajst-8021	147	1	[	[	X
ajst-8021	147	2	16	16	NUM
ajst-8021	147	3	]	]	X
ajst-8021	147	4	f.	f.	PROPN
ajst-8021	147	5	sun	sun	PROPN
ajst-8021	147	6	et	et	PROPN
ajst-8021	147	7	al	al	PROPN
ajst-8021	147	8	.	.	PROPN
ajst-8021	147	9	,	,	PUNCT
ajst-8021	147	10	"	"	PUNCT
ajst-8021	147	11	bert4rec	bert4rec	NOUN
ajst-8021	147	12	:	:	PUNCT
ajst-8021	147	13	sequential	sequential	ADJ
ajst-8021	147	14	recommendation	recommendation	NOUN
ajst-8021	147	15	with	with	ADP
ajst-8021	147	16	bidirectional	bidirectional	ADJ
ajst-8021	147	17	encoder	encoder	NOUN
ajst-8021	147	18	representations	representation	VERB
ajst-8021	147	19	from	from	ADP
ajst-8021	147	20	transformer	transformer	NOUN
ajst-8021	147	21	,	,	PUNCT
ajst-8021	147	22	"	"	PUNCT
ajst-8021	147	23	in	in	ADP
ajst-8021	147	24	proceedings	proceeding	NOUN
ajst-8021	147	25	of	of	ADP
ajst-8021	147	26	the	the	DET
ajst-8021	147	27	28th	28th	ADJ
ajst-8021	147	28	acm	acm	PROPN
ajst-8021	147	29	international	international	ADJ
ajst-8021	147	30	conference	conference	NOUN
ajst-8021	147	31	on	on	ADP
ajst-8021	147	32	information	information	NOUN
ajst-8021	147	33	and	and	CCONJ
ajst-8021	147	34	knowledge	knowledge	NOUN
ajst-8021	147	35	management	management	NOUN
ajst-8021	147	36	,	,	PUNCT
ajst-8021	147	37	2019	2019	NUM
ajst-8021	147	38	,	,	PUNCT
ajst-8021	147	39	pp	pp	ADJ
ajst-8021	147	40	.	.	PUNCT
ajst-8021	147	41	1441	1441	NUM
ajst-8021	147	42	-	-	SYM
ajst-8021	147	43	1450	1450	NUM
ajst-8021	147	44	.	.	PUNCT
ajst-8021	148	1	[	[	X
ajst-8021	148	2	17	17	NUM
ajst-8021	148	3	]	]	PUNCT
ajst-8021	148	4	x.	x.	PROPN
ajst-8021	148	5	wang	wang	PROPN
ajst-8021	148	6	,	,	PUNCT
ajst-8021	148	7	r.	r.	PROPN
ajst-8021	148	8	girshick	girshick	PROPN
ajst-8021	148	9	,	,	PUNCT
ajst-8021	148	10	a.	a.	NOUN
ajst-8021	148	11	gupta	gupta	PROPN
ajst-8021	148	12	,	,	PUNCT
ajst-8021	148	13	and	and	CCONJ
ajst-8021	148	14	k.	k.	PROPN
ajst-8021	148	15	he	he	PRON
ajst-8021	148	16	,	,	PUNCT
ajst-8021	148	17	"	"	PUNCT
ajst-8021	148	18	non	non	ADJ
ajst-8021	148	19	-	-	ADJ
ajst-8021	148	20	local	local	ADJ
ajst-8021	148	21	neural	neural	ADJ
ajst-8021	148	22	networks	network	NOUN
ajst-8021	148	23	,	,	PUNCT
ajst-8021	148	24	"	"	PUNCT
ajst-8021	148	25	in	in	ADP
ajst-8021	148	26	proceedings	proceeding	NOUN
ajst-8021	148	27	of	of	ADP
ajst-8021	148	28	the	the	DET
ajst-8021	148	29	ieee	ieee	NOUN
ajst-8021	148	30	conference	conference	NOUN
ajst-8021	148	31	on	on	ADP
ajst-8021	148	32	computer	computer	NOUN
ajst-8021	148	33	vision	vision	NOUN
ajst-8021	148	34	and	and	CCONJ
ajst-8021	148	35	pattern	pattern	NOUN
ajst-8021	148	36	recognition	recognition	NOUN
ajst-8021	148	37	,	,	PUNCT
ajst-8021	148	38	2018	2018	NUM
ajst-8021	148	39	,	,	PUNCT
ajst-8021	148	40	pp	pp	ADJ
ajst-8021	148	41	.	.	PUNCT
ajst-8021	149	1	7794	7794	NUM
ajst-8021	149	2	-	-	SYM
ajst-8021	149	3	7803	7803	NUM
ajst-8021	149	4	.	.	PUNCT
ajst-8021	150	1	[	[	X
ajst-8021	150	2	18	18	NUM
ajst-8021	150	3	]	]	PUNCT
ajst-8021	150	4	a.	a.	NOUN
ajst-8021	150	5	dosovitskiy	dosovitskiy	NOUN
ajst-8021	150	6	et	et	PROPN
ajst-8021	150	7	al	al	PROPN
ajst-8021	150	8	.	.	PROPN
ajst-8021	150	9	,	,	PUNCT
ajst-8021	150	10	"	"	PUNCT
ajst-8021	150	11	an	an	DET
ajst-8021	150	12	image	image	NOUN
ajst-8021	150	13	is	be	AUX
ajst-8021	150	14	worth	worth	ADJ
ajst-8021	150	15	16x16	16x16	NUM
ajst-8021	150	16	words	word	NOUN
ajst-8021	150	17	:	:	PUNCT
ajst-8021	150	18	transformers	transformer	NOUN
ajst-8021	150	19	for	for	ADP
ajst-8021	150	20	image	image	NOUN
ajst-8021	150	21	recognition	recognition	NOUN
ajst-8021	150	22	at	at	ADP
ajst-8021	150	23	scale	scale	NOUN
ajst-8021	150	24	,	,	PUNCT
ajst-8021	150	25	"	"	PUNCT
ajst-8021	150	26	arxiv	arxiv	PROPN
ajst-8021	150	27	preprint	preprint	NOUN
ajst-8021	150	28	arxiv:2010.11929	arxiv:2010.11929	NOUN
ajst-8021	150	29	,	,	PUNCT
ajst-8021	150	30	2020	2020	NUM
ajst-8021	150	31	.	.	PUNCT
ajst-8021	151	1	[	[	X
ajst-8021	151	2	19	19	NUM
ajst-8021	151	3	]	]	PUNCT
ajst-8021	151	4	k.	k.	PROPN
ajst-8021	151	5	wang	wang	PROPN
ajst-8021	151	6	,	,	PUNCT
ajst-8021	151	7	x.	x.	PROPN
ajst-8021	151	8	zhang	zhang	PROPN
ajst-8021	151	9	,	,	PUNCT
ajst-8021	151	10	x.	x.	PROPN
ajst-8021	151	11	zhang	zhang	PROPN
ajst-8021	151	12	,	,	PUNCT
ajst-8021	151	13	y.	y.	PROPN
ajst-8021	151	14	lu	lu	PROPN
ajst-8021	151	15	,	,	PUNCT
ajst-8021	151	16	s.	s.	PROPN
ajst-8021	151	17	huang	huang	PROPN
ajst-8021	151	18	,	,	PUNCT
ajst-8021	151	19	and	and	CCONJ
ajst-8021	151	20	d.	d.	PROPN
ajst-8021	151	21	yang	yang	PROPN
ajst-8021	151	22	,	,	PUNCT
ajst-8021	151	23	"	"	PUNCT
ajst-8021	151	24	eanet	eanet	NOUN
ajst-8021	151	25	:	:	PUNCT
ajst-8021	151	26	iterative	iterative	NOUN
ajst-8021	151	27	edge	edge	NOUN
ajst-8021	151	28	attention	attention	NOUN
ajst-8021	151	29	network	network	NOUN
ajst-8021	151	30	for	for	ADP
ajst-8021	151	31	medical	medical	ADJ
ajst-8021	151	32	image	image	NOUN
ajst-8021	151	33	segmentation	segmentation	NOUN
ajst-8021	151	34	,	,	PUNCT
ajst-8021	151	35	"	"	PUNCT
ajst-8021	151	36	pattern	pattern	NOUN
ajst-8021	151	37	recognition	recognition	NOUN
ajst-8021	151	38	,	,	PUNCT
ajst-8021	151	39	vol	vol	NOUN
ajst-8021	151	40	.	.	PUNCT
ajst-8021	152	1	127	127	NUM
ajst-8021	152	2	,	,	PUNCT
ajst-8021	152	3	p.	p.	NOUN
ajst-8021	152	4	108636	108636	NUM
ajst-8021	152	5	,	,	PUNCT
ajst-8021	152	6	2022	2022	NUM
ajst-8021	152	7	.	.	PUNCT
ajst-8021	153	1	[	[	X
ajst-8021	153	2	20	20	NUM
ajst-8021	153	3	]	]	PUNCT
ajst-8021	153	4	j.	j.	PROPN
ajst-8021	153	5	cheng	cheng	PROPN
ajst-8021	153	6	et	et	PROPN
ajst-8021	153	7	al	al	PROPN
ajst-8021	153	8	.	.	PROPN
ajst-8021	153	9	,	,	PUNCT
ajst-8021	153	10	"	"	PUNCT
ajst-8021	153	11	resganet	resganet	NOUN
ajst-8021	153	12	:	:	PUNCT
ajst-8021	153	13	residual	residual	ADJ
ajst-8021	153	14	group	group	NOUN
ajst-8021	153	15	attention	attention	NOUN
ajst-8021	153	16	network	network	NOUN
ajst-8021	153	17	for	for	ADP
ajst-8021	153	18	medical	medical	ADJ
ajst-8021	153	19	image	image	NOUN
ajst-8021	153	20	classification	classification	NOUN
ajst-8021	153	21	and	and	CCONJ
ajst-8021	153	22	segmentation	segmentation	NOUN
ajst-8021	153	23	,	,	PUNCT
ajst-8021	153	24	"	"	PUNCT
ajst-8021	153	25	medical	medical	ADJ
ajst-8021	153	26	image	image	NOUN
ajst-8021	153	27	analysis	analysis	NOUN
ajst-8021	153	28	,	,	PUNCT
ajst-8021	153	29	vol	vol	NOUN
ajst-8021	153	30	.	.	PROPN
ajst-8021	153	31	76	76	NUM
ajst-8021	153	32	,	,	PUNCT
ajst-8021	153	33	p.	p.	NOUN
ajst-8021	153	34	102313	102313	NUM
ajst-8021	153	35	,	,	PUNCT
ajst-8021	153	36	2022	2022	NUM
ajst-8021	153	37	.	.	PUNCT
ajst-8021	154	1	[	[	X
ajst-8021	154	2	21	21	NUM
ajst-8021	154	3	]	]	PUNCT
ajst-8021	154	4	z.	z.	PROPN
ajst-8021	154	5	yang	yang	PROPN
ajst-8021	154	6	,	,	PUNCT
ajst-8021	154	7	l.	l.	PROPN
ajst-8021	154	8	zhu	zhu	PROPN
ajst-8021	154	9	,	,	PUNCT
ajst-8021	154	10	y.	y.	PROPN
ajst-8021	154	11	wu	wu	PROPN
ajst-8021	154	12	,	,	PUNCT
ajst-8021	154	13	and	and	CCONJ
ajst-8021	154	14	y.	y.	PROPN
ajst-8021	154	15	yang	yang	PROPN
ajst-8021	154	16	,	,	PUNCT
ajst-8021	154	17	"	"	PUNCT
ajst-8021	154	18	gated	gate	VERB
ajst-8021	154	19	channel	channel	NOUN
ajst-8021	154	20	transformation	transformation	NOUN
ajst-8021	154	21	for	for	ADP
ajst-8021	154	22	visual	visual	ADJ
ajst-8021	154	23	recognition	recognition	NOUN
ajst-8021	154	24	,	,	PUNCT
ajst-8021	154	25	"	"	PUNCT
ajst-8021	154	26	in	in	ADP
ajst-8021	154	27	proceedings	proceeding	NOUN
ajst-8021	154	28	of	of	ADP
ajst-8021	154	29	the	the	DET
ajst-8021	154	30	ieee	ieee	NOUN
ajst-8021	154	31	/	/	SYM
ajst-8021	154	32	cvf	cvf	NOUN
ajst-8021	154	33	conference	conference	NOUN
ajst-8021	154	34	on	on	ADP
ajst-8021	154	35	computer	computer	NOUN
ajst-8021	154	36	vision	vision	NOUN
ajst-8021	154	37	and	and	CCONJ
ajst-8021	154	38	pattern	pattern	NOUN
ajst-8021	154	39	recognition	recognition	NOUN
ajst-8021	154	40	,	,	PUNCT
ajst-8021	154	41	2020	2020	NUM
ajst-8021	154	42	,	,	PUNCT
ajst-8021	154	43	pp	pp	ADV
ajst-8021	154	44	.	.	PUNCT
ajst-8021	155	1	11794	11794	NUM
ajst-8021	155	2	-	-	SYM
ajst-8021	155	3	11803	11803	NUM
ajst-8021	155	4	.	.	PUNCT
ajst-8021	156	1	[	[	X
ajst-8021	156	2	22	22	NUM
ajst-8021	156	3	]	]	PUNCT
ajst-8021	156	4	q.	q.	PROPN
ajst-8021	156	5	wang	wang	PROPN
ajst-8021	156	6	,	,	PUNCT
ajst-8021	156	7	b.	b.	PROPN
ajst-8021	156	8	wu	wu	PROPN
ajst-8021	156	9	,	,	PUNCT
ajst-8021	156	10	p.	p.	PROPN
ajst-8021	156	11	zhu	zhu	PROPN
ajst-8021	156	12	,	,	PUNCT
ajst-8021	156	13	p.	p.	PROPN
ajst-8021	156	14	li	li	PROPN
ajst-8021	156	15	,	,	PUNCT
ajst-8021	156	16	w.	w.	PROPN
ajst-8021	156	17	zuo	zuo	PROPN
ajst-8021	156	18	,	,	PUNCT
ajst-8021	156	19	and	and	CCONJ
ajst-8021	156	20	q.	q.	PROPN
ajst-8021	156	21	hu	hu	PROPN
ajst-8021	156	22	,	,	PUNCT
ajst-8021	156	23	"	"	PUNCT
ajst-8021	156	24	eca	eca	NOUN
ajst-8021	156	25	-	-	PUNCT
ajst-8021	156	26	net	net	NOUN
ajst-8021	156	27	:	:	PUNCT
ajst-8021	156	28	efficient	efficient	ADJ
ajst-8021	156	29	channel	channel	NOUN
ajst-8021	156	30	attention	attention	NOUN
ajst-8021	156	31	for	for	ADP
ajst-8021	156	32	deep	deep	ADJ
ajst-8021	156	33	convolutional	convolutional	ADJ
ajst-8021	156	34	neural	neural	ADJ
ajst-8021	156	35	networks	network	NOUN
ajst-8021	156	36	,	,	PUNCT
ajst-8021	156	37	"	"	PUNCT
ajst-8021	156	38	in	in	ADP
ajst-8021	156	39	proceedings	proceeding	NOUN
ajst-8021	156	40	of	of	ADP
ajst-8021	156	41	the	the	DET
ajst-8021	156	42	ieee	ieee	NOUN
ajst-8021	156	43	/	/	SYM
ajst-8021	156	44	cvf	cvf	NOUN
ajst-8021	156	45	conference	conference	NOUN
ajst-8021	156	46	on	on	ADP
ajst-8021	156	47	computer	computer	NOUN
ajst-8021	156	48	vision	vision	NOUN
ajst-8021	156	49	and	and	CCONJ
ajst-8021	156	50	pattern	pattern	NOUN
ajst-8021	156	51	recognition	recognition	NOUN
ajst-8021	156	52	,	,	PUNCT
ajst-8021	156	53	2020	2020	NUM
ajst-8021	156	54	,	,	PUNCT
ajst-8021	156	55	pp	pp	ADJ
ajst-8021	156	56	.	.	PUNCT
ajst-8021	156	57	1153411542	1153411542	NUM
ajst-8021	156	58	.	.	PUNCT
ajst-8021	157	1	[	[	X
ajst-8021	157	2	23	23	NUM
ajst-8021	157	3	]	]	PUNCT
ajst-8021	157	4	h.	h.	PROPN
ajst-8021	157	5	zhang	zhang	PROPN
ajst-8021	157	6	et	et	PROPN
ajst-8021	157	7	al	al	PROPN
ajst-8021	157	8	.	.	PROPN
ajst-8021	157	9	,	,	PUNCT
ajst-8021	157	10	"	"	PUNCT
ajst-8021	157	11	context	context	NOUN
ajst-8021	157	12	encoding	encoding	NOUN
ajst-8021	157	13	for	for	ADP
ajst-8021	157	14	semantic	semantic	ADJ
ajst-8021	157	15	segmentation	segmentation	NOUN
ajst-8021	157	16	,	,	PUNCT
ajst-8021	157	17	"	"	PUNCT
ajst-8021	157	18	in	in	ADP
ajst-8021	157	19	proceedings	proceeding	NOUN
ajst-8021	157	20	of	of	ADP
ajst-8021	157	21	the	the	DET
ajst-8021	157	22	ieee	ieee	NOUN
ajst-8021	157	23	conference	conference	NOUN
ajst-8021	157	24	on	on	ADP
ajst-8021	157	25	computer	computer	NOUN
ajst-8021	157	26	vision	vision	NOUN
ajst-8021	157	27	and	and	CCONJ
ajst-8021	157	28	pattern	pattern	NOUN
ajst-8021	157	29	recognition	recognition	NOUN
ajst-8021	157	30	,	,	PUNCT
ajst-8021	157	31	2018	2018	NUM
ajst-8021	157	32	,	,	PUNCT
ajst-8021	157	33	pp	pp	ADJ
ajst-8021	157	34	.	.	PUNCT
ajst-8021	158	1	7151	7151	NUM
ajst-8021	158	2	-	-	SYM
ajst-8021	158	3	7160	7160	NUM
ajst-8021	158	4	.	.	PUNCT
ajst-8021	159	1	243	243	NUM
ajst-8021	160	1	[	[	X
ajst-8021	160	2	24	24	NUM
ajst-8021	160	3	]	]	PUNCT
ajst-8021	160	4	x.	x.	NOUN
ajst-8021	160	5	li	li	PROPN
ajst-8021	160	6	,	,	PUNCT
ajst-8021	160	7	w.	w.	PROPN
ajst-8021	160	8	wang	wang	PROPN
ajst-8021	160	9	,	,	PUNCT
ajst-8021	160	10	x.	x.	PROPN
ajst-8021	160	11	hu	hu	PROPN
ajst-8021	160	12	,	,	PUNCT
ajst-8021	160	13	and	and	CCONJ
ajst-8021	160	14	j.	j.	PROPN
ajst-8021	160	15	yang	yang	PROPN
ajst-8021	160	16	,	,	PUNCT
ajst-8021	160	17	"	"	PUNCT
ajst-8021	160	18	selective	selective	ADJ
ajst-8021	160	19	kernel	kernel	NOUN
ajst-8021	160	20	networks	network	NOUN
ajst-8021	160	21	,	,	PUNCT
ajst-8021	160	22	"	"	PUNCT
ajst-8021	160	23	in	in	ADP
ajst-8021	160	24	proceedings	proceeding	NOUN
ajst-8021	160	25	of	of	ADP
ajst-8021	160	26	the	the	DET
ajst-8021	160	27	ieee	ieee	NOUN
ajst-8021	160	28	/	/	SYM
ajst-8021	160	29	cvf	cvf	NOUN
ajst-8021	160	30	conference	conference	NOUN
ajst-8021	160	31	on	on	ADP
ajst-8021	160	32	computer	computer	NOUN
ajst-8021	160	33	vision	vision	NOUN
ajst-8021	160	34	and	and	CCONJ
ajst-8021	160	35	pattern	pattern	NOUN
ajst-8021	160	36	recognition	recognition	NOUN
ajst-8021	160	37	,	,	PUNCT
ajst-8021	160	38	2019	2019	NUM
ajst-8021	160	39	,	,	PUNCT
ajst-8021	160	40	pp	pp	ADJ
ajst-8021	160	41	.	.	PUNCT
ajst-8021	161	1	510	510	NUM
ajst-8021	161	2	-	-	SYM
ajst-8021	161	3	519	519	NUM
ajst-8021	161	4	.	.	PUNCT
ajst-8021	162	1	[	[	X
ajst-8021	162	2	25	25	NUM
ajst-8021	162	3	]	]	PUNCT
ajst-8021	162	4	z.	z.	PROPN
ajst-8021	162	5	gao	gao	PROPN
ajst-8021	162	6	,	,	PUNCT
ajst-8021	162	7	j.	j.	PROPN
ajst-8021	162	8	xie	xie	PROPN
ajst-8021	162	9	,	,	PUNCT
ajst-8021	162	10	q.	q.	PROPN
ajst-8021	162	11	wang	wang	PROPN
ajst-8021	162	12	,	,	PUNCT
ajst-8021	162	13	and	and	CCONJ
ajst-8021	162	14	p.	p.	PROPN
ajst-8021	162	15	li	li	PROPN
ajst-8021	162	16	,	,	PUNCT
ajst-8021	162	17	"	"	PUNCT
ajst-8021	162	18	global	global	ADJ
ajst-8021	162	19	second	second	ADJ
ajst-8021	162	20	-	-	PUNCT
ajst-8021	162	21	order	order	NOUN
ajst-8021	162	22	pooling	pool	VERB
ajst-8021	162	23	convolutional	convolutional	ADJ
ajst-8021	162	24	networks	network	NOUN
ajst-8021	162	25	,	,	PUNCT
ajst-8021	162	26	"	"	PUNCT
ajst-8021	162	27	in	in	ADP
ajst-8021	162	28	proceedings	proceeding	NOUN
ajst-8021	162	29	of	of	ADP
ajst-8021	162	30	the	the	DET
ajst-8021	162	31	ieee	ieee	NOUN
ajst-8021	162	32	/	/	SYM
ajst-8021	162	33	cvf	cvf	NOUN
ajst-8021	162	34	conference	conference	NOUN
ajst-8021	162	35	on	on	ADP
ajst-8021	162	36	computer	computer	NOUN
ajst-8021	162	37	vision	vision	NOUN
ajst-8021	162	38	and	and	CCONJ
ajst-8021	162	39	pattern	pattern	NOUN
ajst-8021	162	40	recognition	recognition	NOUN
ajst-8021	162	41	,	,	PUNCT
ajst-8021	162	42	2019	2019	NUM
ajst-8021	162	43	,	,	PUNCT
ajst-8021	162	44	pp	pp	ADJ
ajst-8021	162	45	.	.	PUNCT
ajst-8021	163	1	3024	3024	NUM
ajst-8021	163	2	-	-	SYM
ajst-8021	163	3	3033	3033	NUM
ajst-8021	163	4	.	.	PUNCT
ajst-8021	164	1	[	[	X
ajst-8021	164	2	26	26	NUM
ajst-8021	164	3	]	]	X
ajst-8021	164	4	h.	h.	PROPN
ajst-8021	164	5	zhao	zhao	PROPN
ajst-8021	164	6	et	et	PROPN
ajst-8021	164	7	al	al	PROPN
ajst-8021	164	8	.	.	PROPN
ajst-8021	164	9	,	,	PUNCT
ajst-8021	164	10	"	"	PUNCT
ajst-8021	164	11	psanet	psanet	NOUN
ajst-8021	164	12	:	:	PUNCT
ajst-8021	164	13	point	point	NOUN
ajst-8021	164	14	-	-	PUNCT
ajst-8021	164	15	wise	wise	ADJ
ajst-8021	164	16	spatial	spatial	ADJ
ajst-8021	164	17	attention	attention	NOUN
ajst-8021	164	18	network	network	NOUN
ajst-8021	164	19	for	for	ADP
ajst-8021	164	20	scene	scene	NOUN
ajst-8021	164	21	parsing	parsing	NOUN
ajst-8021	164	22	,	,	PUNCT
ajst-8021	164	23	"	"	PUNCT
ajst-8021	164	24	in	in	ADP
ajst-8021	164	25	proceedings	proceeding	NOUN
ajst-8021	164	26	of	of	ADP
ajst-8021	164	27	the	the	DET
ajst-8021	164	28	european	european	PROPN
ajst-8021	164	29	conference	conference	PROPN
ajst-8021	164	30	on	on	ADP
ajst-8021	164	31	computer	computer	NOUN
ajst-8021	164	32	vision	vision	NOUN
ajst-8021	164	33	(	(	PUNCT
ajst-8021	164	34	eccv	eccv	ADV
ajst-8021	164	35	)	)	PUNCT
ajst-8021	164	36	,	,	PUNCT
ajst-8021	164	37	2018	2018	NUM
ajst-8021	164	38	,	,	PUNCT
ajst-8021	164	39	pp	pp	ADJ
ajst-8021	164	40	.	.	PUNCT
ajst-8021	165	1	267	267	NUM
ajst-8021	165	2	-	-	SYM
ajst-8021	165	3	283	283	NUM
ajst-8021	165	4	.	.	PUNCT
ajst-8021	166	1	[	[	X
ajst-8021	166	2	27	27	NUM
ajst-8021	166	3	]	]	PUNCT
ajst-8021	166	4	q.	q.	PROPN
ajst-8021	166	5	hou	hou	PROPN
ajst-8021	166	6	,	,	PUNCT
ajst-8021	166	7	d.	d.	PROPN
ajst-8021	166	8	zhou	zhou	PROPN
ajst-8021	166	9	,	,	PUNCT
ajst-8021	166	10	and	and	CCONJ
ajst-8021	166	11	j.	j.	PROPN
ajst-8021	166	12	feng	feng	PROPN
ajst-8021	166	13	,	,	PUNCT
ajst-8021	166	14	"	"	PUNCT
ajst-8021	166	15	coordinate	coordinate	VERB
ajst-8021	166	16	attention	attention	NOUN
ajst-8021	166	17	for	for	ADP
ajst-8021	166	18	efficient	efficient	ADJ
ajst-8021	166	19	mobile	mobile	ADJ
ajst-8021	166	20	network	network	NOUN
ajst-8021	166	21	design	design	NOUN
ajst-8021	166	22	,	,	PUNCT
ajst-8021	166	23	"	"	PUNCT
ajst-8021	166	24	in	in	ADP
ajst-8021	166	25	proceedings	proceeding	NOUN
ajst-8021	166	26	of	of	ADP
ajst-8021	166	27	the	the	DET
ajst-8021	166	28	ieee	ieee	NOUN
ajst-8021	166	29	/	/	SYM
ajst-8021	166	30	cvf	cvf	NOUN
ajst-8021	166	31	conference	conference	NOUN
ajst-8021	166	32	on	on	ADP
ajst-8021	166	33	computer	computer	NOUN
ajst-8021	166	34	vision	vision	NOUN
ajst-8021	166	35	and	and	CCONJ
ajst-8021	166	36	pattern	pattern	NOUN
ajst-8021	166	37	recognition	recognition	NOUN
ajst-8021	166	38	,	,	PUNCT
ajst-8021	166	39	2021	2021	NUM
ajst-8021	166	40	,	,	PUNCT
ajst-8021	166	41	pp	pp	ADJ
ajst-8021	166	42	.	.	PUNCT
ajst-8021	167	1	13713	13713	NUM
ajst-8021	167	2	-	-	SYM
ajst-8021	167	3	13722	13722	NUM
ajst-8021	167	4	.	.	PUNCT
ajst-8021	168	1	[	[	X
ajst-8021	168	2	28	28	NUM
ajst-8021	168	3	]	]	X
ajst-8021	168	4	f.	f.	PROPN
ajst-8021	168	5	chollet	chollet	PROPN
ajst-8021	168	6	,	,	PUNCT
ajst-8021	168	7	"	"	PUNCT
ajst-8021	168	8	xception	xception	NOUN
ajst-8021	168	9	:	:	PUNCT
ajst-8021	168	10	deep	deep	ADJ
ajst-8021	168	11	learning	learn	VERB
ajst-8021	168	12	with	with	ADP
ajst-8021	168	13	depthwise	depthwise	NOUN
ajst-8021	168	14	separable	separable	ADJ
ajst-8021	168	15	convolutions	convolution	NOUN
ajst-8021	168	16	,	,	PUNCT
ajst-8021	168	17	"	"	PUNCT
ajst-8021	168	18	in	in	ADP
ajst-8021	168	19	proceedings	proceeding	NOUN
ajst-8021	168	20	of	of	ADP
ajst-8021	168	21	the	the	DET
ajst-8021	168	22	ieee	ieee	NOUN
ajst-8021	168	23	conference	conference	NOUN
ajst-8021	168	24	on	on	ADP
ajst-8021	168	25	computer	computer	NOUN
ajst-8021	168	26	vision	vision	NOUN
ajst-8021	168	27	and	and	CCONJ
ajst-8021	168	28	pattern	pattern	NOUN
ajst-8021	168	29	recognition	recognition	NOUN
ajst-8021	168	30	,	,	PUNCT
ajst-8021	168	31	2017	2017	NUM
ajst-8021	168	32	,	,	PUNCT
ajst-8021	168	33	pp	pp	ADJ
ajst-8021	168	34	.	.	PUNCT
ajst-8021	169	1	1251	1251	NUM
ajst-8021	169	2	-	-	SYM
ajst-8021	169	3	1258	1258	NUM
ajst-8021	169	4	.	.	PUNCT
ajst-8021	170	1	[	[	X
ajst-8021	170	2	29	29	NUM
ajst-8021	170	3	]	]	X
ajst-8021	170	4	c.	c.	NOUN
ajst-8021	170	5	szegedy	szegedy	VERB
ajst-8021	170	6	et	et	PROPN
ajst-8021	170	7	al	al	PROPN
ajst-8021	170	8	.	.	PROPN
ajst-8021	170	9	,	,	PUNCT
ajst-8021	170	10	"	"	PUNCT
ajst-8021	170	11	going	go	VERB
ajst-8021	170	12	deeper	deeply	ADV
ajst-8021	170	13	with	with	ADP
ajst-8021	170	14	convolutions	convolution	NOUN
ajst-8021	170	15	,	,	PUNCT
ajst-8021	170	16	"	"	PUNCT
ajst-8021	170	17	in	in	ADP
ajst-8021	170	18	proceedings	proceeding	NOUN
ajst-8021	170	19	of	of	ADP
ajst-8021	170	20	the	the	DET
ajst-8021	170	21	ieee	ieee	NOUN
ajst-8021	170	22	conference	conference	NOUN
ajst-8021	170	23	on	on	ADP
ajst-8021	170	24	computer	computer	NOUN
ajst-8021	170	25	vision	vision	NOUN
ajst-8021	170	26	and	and	CCONJ
ajst-8021	170	27	pattern	pattern	NOUN
ajst-8021	170	28	recognition	recognition	NOUN
ajst-8021	170	29	,	,	PUNCT
ajst-8021	170	30	2015	2015	NUM
ajst-8021	170	31	,	,	PUNCT
ajst-8021	170	32	pp	pp	ADJ
ajst-8021	170	33	.	.	PUNCT
ajst-8021	171	1	1	1	NUM
ajst-8021	171	2	-	-	SYM
ajst-8021	171	3	9	9	NUM
ajst-8021	171	4	.	.	PUNCT
ajst-8021	172	1	[	[	X
ajst-8021	172	2	30	30	NUM
ajst-8021	172	3	]	]	X
ajst-8021	172	4	x.	x.	NOUN
ajst-8021	172	5	ding	ding	PROPN
ajst-8021	172	6	,	,	PUNCT
ajst-8021	172	7	y.	y.	PROPN
ajst-8021	172	8	guo	guo	PROPN
ajst-8021	172	9	,	,	PUNCT
ajst-8021	172	10	g.	g.	PROPN
ajst-8021	172	11	ding	ding	PROPN
ajst-8021	172	12	,	,	PUNCT
ajst-8021	172	13	and	and	CCONJ
ajst-8021	172	14	j.	j.	PROPN
ajst-8021	172	15	han	han	PROPN
ajst-8021	172	16	,	,	PUNCT
ajst-8021	172	17	"	"	PUNCT
ajst-8021	172	18	acnet	acnet	NOUN
ajst-8021	172	19	:	:	PUNCT
ajst-8021	172	20	strengthening	strengthen	VERB
ajst-8021	172	21	the	the	DET
ajst-8021	172	22	kernel	kernel	NOUN
ajst-8021	172	23	skeletons	skeleton	NOUN
ajst-8021	172	24	for	for	ADP
ajst-8021	172	25	powerful	powerful	ADJ
ajst-8021	172	26	cnn	cnn	PROPN
ajst-8021	172	27	via	via	ADP
ajst-8021	172	28	asymmetric	asymmetric	ADJ
ajst-8021	172	29	convolution	convolution	NOUN
ajst-8021	172	30	blocks	block	NOUN
ajst-8021	172	31	,	,	PUNCT
ajst-8021	172	32	"	"	PUNCT
ajst-8021	172	33	in	in	ADP
ajst-8021	172	34	proceedings	proceeding	NOUN
ajst-8021	172	35	of	of	ADP
ajst-8021	172	36	the	the	DET
ajst-8021	172	37	ieee	ieee	NOUN
ajst-8021	172	38	/	/	SYM
ajst-8021	172	39	cvf	cvf	NOUN
ajst-8021	172	40	international	international	ADJ
ajst-8021	172	41	conference	conference	NOUN
ajst-8021	172	42	on	on	ADP
ajst-8021	172	43	computer	computer	NOUN
ajst-8021	172	44	vision	vision	NOUN
ajst-8021	172	45	,	,	PUNCT
ajst-8021	172	46	2019	2019	NUM
ajst-8021	172	47	,	,	PUNCT
ajst-8021	172	48	pp	pp	ADJ
ajst-8021	172	49	.	.	PUNCT
ajst-8021	172	50	19111920	19111920	NUM
ajst-8021	172	51	.	.	PUNCT
ajst-8021	173	1	[	[	X
ajst-8021	173	2	31	31	NUM
ajst-8021	173	3	]	]	PUNCT
ajst-8021	173	4	l.-c	l.-c	NOUN
ajst-8021	173	5	.	.	PUNCT
ajst-8021	174	1	chen	chen	PROPN
ajst-8021	174	2	,	,	PUNCT
ajst-8021	174	3	g.	g.	PROPN
ajst-8021	174	4	papandreou	papandreou	PROPN
ajst-8021	174	5	,	,	PUNCT
ajst-8021	174	6	f.	f.	PROPN
ajst-8021	174	7	schroff	schroff	PROPN
ajst-8021	174	8	,	,	PUNCT
ajst-8021	174	9	and	and	CCONJ
ajst-8021	174	10	h.	h.	PROPN
ajst-8021	174	11	adam	adam	PROPN
ajst-8021	174	12	,	,	PUNCT
ajst-8021	174	13	"	"	PUNCT
ajst-8021	174	14	rethinking	rethink	VERB
ajst-8021	174	15	atrous	atrous	ADJ
ajst-8021	174	16	convolution	convolution	NOUN
ajst-8021	174	17	for	for	ADP
ajst-8021	174	18	semantic	semantic	ADJ
ajst-8021	174	19	image	image	NOUN
ajst-8021	174	20	segmentation	segmentation	NOUN
ajst-8021	174	21	,	,	PUNCT
ajst-8021	174	22	"	"	PUNCT
ajst-8021	174	23	arxiv	arxiv	PROPN
ajst-8021	174	24	preprint	preprint	NOUN
ajst-8021	174	25	arxiv:1706.05587	arxiv:1706.05587	PROPN
ajst-8021	174	26	,	,	PUNCT
ajst-8021	174	27	2017	2017	NUM
ajst-8021	174	28	.	.	PUNCT
ajst-8021	175	1	[	[	X
ajst-8021	175	2	32	32	NUM
ajst-8021	175	3	]	]	PUNCT
ajst-8021	175	4	j.	j.	PROPN
ajst-8021	175	5	ho	ho	PROPN
ajst-8021	175	6	,	,	PUNCT
ajst-8021	175	7	n.	n.	PROPN
ajst-8021	175	8	kalchbrenner	kalchbrenner	PROPN
ajst-8021	175	9	,	,	PUNCT
ajst-8021	175	10	d.	d.	PROPN
ajst-8021	175	11	weissenborn	weissenborn	PROPN
ajst-8021	175	12	,	,	PUNCT
ajst-8021	175	13	and	and	CCONJ
ajst-8021	175	14	t.	t.	PROPN
ajst-8021	175	15	salimans	saliman	NOUN
ajst-8021	175	16	,	,	PUNCT
ajst-8021	175	17	"	"	PUNCT
ajst-8021	175	18	axial	axial	ADJ
ajst-8021	175	19	attention	attention	NOUN
ajst-8021	175	20	in	in	ADP
ajst-8021	175	21	multidimensional	multidimensional	ADJ
ajst-8021	175	22	transformers	transformer	NOUN
ajst-8021	175	23	,	,	PUNCT
ajst-8021	175	24	"	"	PUNCT
ajst-8021	175	25	arxiv	arxiv	PROPN
ajst-8021	175	26	preprint	preprint	NOUN
ajst-8021	175	27	arxiv:1912.12180	arxiv:1912.12180	PROPN
ajst-8021	175	28	,	,	PUNCT
ajst-8021	175	29	2019	2019	NUM
ajst-8021	175	30	.	.	PUNCT
ajst-8021	176	1	[	[	X
ajst-8021	176	2	33	33	NUM
ajst-8021	176	3	]	]	PUNCT
ajst-8021	176	4	z.	z.	PROPN
ajst-8021	176	5	huang	huang	PROPN
ajst-8021	176	6	,	,	PUNCT
ajst-8021	176	7	x.	x.	PROPN
ajst-8021	176	8	wang	wang	PROPN
ajst-8021	176	9	,	,	PUNCT
ajst-8021	176	10	l.	l.	PROPN
ajst-8021	176	11	huang	huang	PROPN
ajst-8021	176	12	,	,	PUNCT
ajst-8021	176	13	c.	c.	PROPN
ajst-8021	176	14	huang	huang	PROPN
ajst-8021	176	15	,	,	PUNCT
ajst-8021	176	16	y.	y.	PROPN
ajst-8021	176	17	wei	wei	PROPN
ajst-8021	176	18	,	,	PUNCT
ajst-8021	176	19	and	and	CCONJ
ajst-8021	176	20	w.	w.	PROPN
ajst-8021	176	21	liu	liu	PROPN
ajst-8021	176	22	,	,	PUNCT
ajst-8021	176	23	"	"	PUNCT
ajst-8021	176	24	ccnet	ccnet	ADV
ajst-8021	176	25	:	:	PUNCT
ajst-8021	176	26	criss	criss	ADJ
ajst-8021	176	27	-	-	PUNCT
ajst-8021	176	28	cross	cross	NOUN
ajst-8021	176	29	attention	attention	NOUN
ajst-8021	176	30	for	for	ADP
ajst-8021	176	31	semantic	semantic	ADJ
ajst-8021	176	32	segmentation	segmentation	NOUN
ajst-8021	176	33	,	,	PUNCT
ajst-8021	176	34	"	"	PUNCT
ajst-8021	176	35	in	in	ADP
ajst-8021	176	36	proceedings	proceeding	NOUN
ajst-8021	176	37	of	of	ADP
ajst-8021	176	38	the	the	DET
ajst-8021	176	39	ieee	ieee	NOUN
ajst-8021	176	40	/	/	SYM
ajst-8021	176	41	cvf	cvf	NOUN
ajst-8021	176	42	international	international	ADJ
ajst-8021	176	43	conference	conference	NOUN
ajst-8021	176	44	on	on	ADP
ajst-8021	176	45	computer	computer	NOUN
ajst-8021	176	46	vision	vision	NOUN
ajst-8021	176	47	,	,	PUNCT
ajst-8021	176	48	2019	2019	NUM
ajst-8021	176	49	,	,	PUNCT
ajst-8021	176	50	pp	pp	ADV
ajst-8021	176	51	.	.	PUNCT
ajst-8021	177	1	603	603	NUM
ajst-8021	177	2	-	-	SYM
ajst-8021	177	3	612	612	NUM
ajst-8021	177	4	.	.	PUNCT
ajst-8021	178	1	[	[	X
ajst-8021	178	2	34	34	NUM
ajst-8021	178	3	]	]	X
ajst-8021	178	4	l.	l.	PROPN
ajst-8021	178	5	huang	huang	PROPN
ajst-8021	178	6	,	,	PUNCT
ajst-8021	178	7	y.	y.	PROPN
ajst-8021	178	8	yuan	yuan	PROPN
ajst-8021	178	9	,	,	PUNCT
ajst-8021	178	10	j.	j.	PROPN
ajst-8021	178	11	guo	guo	PROPN
ajst-8021	178	12	,	,	PUNCT
ajst-8021	178	13	c.	c.	PROPN
ajst-8021	178	14	zhang	zhang	PROPN
ajst-8021	178	15	,	,	PUNCT
ajst-8021	178	16	x.	x.	PROPN
ajst-8021	178	17	chen	chen	PROPN
ajst-8021	178	18	,	,	PUNCT
ajst-8021	178	19	and	and	CCONJ
ajst-8021	178	20	j.	j.	PROPN
ajst-8021	178	21	wang	wang	PROPN
ajst-8021	178	22	,	,	PUNCT
ajst-8021	178	23	"	"	PUNCT
ajst-8021	178	24	interlaced	interlaced	ADJ
ajst-8021	178	25	sparse	sparse	ADJ
ajst-8021	178	26	self	self	NOUN
ajst-8021	178	27	-	-	PUNCT
ajst-8021	178	28	attention	attention	NOUN
ajst-8021	178	29	for	for	ADP
ajst-8021	178	30	semantic	semantic	ADJ
ajst-8021	178	31	segmentation	segmentation	NOUN
ajst-8021	178	32	,	,	PUNCT
ajst-8021	178	33	"	"	PUNCT
ajst-8021	178	34	arxiv	arxiv	PROPN
ajst-8021	178	35	preprint	preprint	VERB
ajst-8021	178	36	arxiv:1907.12273	arxiv:1907.12273	NOUN
ajst-8021	178	37	,	,	PUNCT
ajst-8021	178	38	2019	2019	NUM
ajst-8021	178	39	.	.	PUNCT
ajst-8021	179	1	[	[	X
ajst-8021	179	2	35	35	NUM
ajst-8021	179	3	]	]	X
ajst-8021	179	4	p.	p.	NOUN
ajst-8021	179	5	ramachandran	ramachandran	PROPN
ajst-8021	179	6	,	,	PUNCT
ajst-8021	179	7	n.	n.	PROPN
ajst-8021	179	8	parmar	parmar	PROPN
ajst-8021	179	9	,	,	PUNCT
ajst-8021	179	10	a.	a.	NOUN
ajst-8021	179	11	vaswani	vaswani	PROPN
ajst-8021	179	12	,	,	PUNCT
ajst-8021	179	13	i.	i.	PROPN
ajst-8021	179	14	bello	bello	PROPN
ajst-8021	179	15	,	,	PUNCT
ajst-8021	179	16	a.	a.	PROPN
ajst-8021	179	17	levskaya	levskaya	PROPN
ajst-8021	179	18	,	,	PUNCT
ajst-8021	179	19	and	and	CCONJ
ajst-8021	179	20	j.	j.	PROPN
ajst-8021	179	21	shlens	shlens	PROPN
ajst-8021	179	22	,	,	PUNCT
ajst-8021	179	23	"	"	PUNCT
ajst-8021	179	24	stand	stand	VERB
ajst-8021	179	25	-	-	PUNCT
ajst-8021	179	26	alone	alone	ADV
ajst-8021	179	27	self	self	NOUN
ajst-8021	179	28	-	-	PUNCT
ajst-8021	179	29	attention	attention	NOUN
ajst-8021	179	30	in	in	ADP
ajst-8021	179	31	vision	vision	NOUN
ajst-8021	179	32	models	model	NOUN
ajst-8021	179	33	,	,	PUNCT
ajst-8021	179	34	"	"	PUNCT
ajst-8021	179	35	advances	advance	NOUN
ajst-8021	179	36	in	in	ADP
ajst-8021	179	37	neural	neural	ADJ
ajst-8021	179	38	information	information	NOUN
ajst-8021	179	39	processing	processing	NOUN
ajst-8021	179	40	systems	system	NOUN
ajst-8021	179	41	,	,	PUNCT
ajst-8021	179	42	vol	vol	NOUN
ajst-8021	179	43	.	.	PROPN
ajst-8021	179	44	32	32	NUM
ajst-8021	179	45	,	,	PUNCT
ajst-8021	179	46	2019	2019	NUM
ajst-8021	179	47	.	.	PUNCT
ajst-8021	180	1	[	[	X
ajst-8021	180	2	36	36	NUM
ajst-8021	180	3	]	]	PUNCT
ajst-8021	180	4	x.	x.	PROPN
ajst-8021	180	5	li	li	PROPN
ajst-8021	180	6	,	,	PUNCT
ajst-8021	180	7	z.	z.	PROPN
ajst-8021	180	8	zhong	zhong	PROPN
ajst-8021	180	9	,	,	PUNCT
ajst-8021	180	10	j.	j.	PROPN
ajst-8021	180	11	wu	wu	PROPN
ajst-8021	180	12	,	,	PUNCT
ajst-8021	180	13	y.	y.	PROPN
ajst-8021	180	14	yang	yang	PROPN
ajst-8021	180	15	,	,	PUNCT
ajst-8021	180	16	z.	z.	PROPN
ajst-8021	180	17	lin	lin	PROPN
ajst-8021	180	18	,	,	PUNCT
ajst-8021	180	19	and	and	CCONJ
ajst-8021	180	20	h.	h.	PROPN
ajst-8021	180	21	liu	liu	PROPN
ajst-8021	180	22	,	,	PUNCT
ajst-8021	180	23	"	"	PUNCT
ajst-8021	180	24	expectation	expectation	NOUN
ajst-8021	180	25	-	-	PUNCT
ajst-8021	180	26	maximization	maximization	NOUN
ajst-8021	180	27	attention	attention	NOUN
ajst-8021	180	28	networks	network	NOUN
ajst-8021	180	29	for	for	ADP
ajst-8021	180	30	semantic	semantic	ADJ
ajst-8021	180	31	segmentation	segmentation	NOUN
ajst-8021	180	32	,	,	PUNCT
ajst-8021	180	33	"	"	PUNCT
ajst-8021	180	34	in	in	ADP
ajst-8021	180	35	proceedings	proceeding	NOUN
ajst-8021	180	36	of	of	ADP
ajst-8021	180	37	the	the	DET
ajst-8021	180	38	ieee	ieee	NOUN
ajst-8021	180	39	/	/	SYM
ajst-8021	180	40	cvf	cvf	NOUN
ajst-8021	180	41	international	international	ADJ
ajst-8021	180	42	conference	conference	NOUN
ajst-8021	180	43	on	on	ADP
ajst-8021	180	44	computer	computer	NOUN
ajst-8021	180	45	vision	vision	NOUN
ajst-8021	180	46	,	,	PUNCT
ajst-8021	180	47	2019	2019	NUM
ajst-8021	180	48	,	,	PUNCT
ajst-8021	180	49	pp	pp	ADJ
ajst-8021	180	50	.	.	PUNCT
ajst-8021	181	1	9167	9167	NUM
ajst-8021	181	2	-	-	SYM
ajst-8021	181	3	9176	9176	NUM
ajst-8021	181	4	.	.	PUNCT
ajst-8021	182	1	[	[	X
ajst-8021	182	2	37	37	NUM
ajst-8021	182	3	]	]	PUNCT
ajst-8021	182	4	z.	z.	PROPN
ajst-8021	182	5	qin	qin	PROPN
ajst-8021	182	6	,	,	PUNCT
ajst-8021	182	7	p.	p.	PROPN
ajst-8021	182	8	zhang	zhang	PROPN
ajst-8021	182	9	,	,	PUNCT
ajst-8021	182	10	f.	f.	PROPN
ajst-8021	182	11	wu	wu	PROPN
ajst-8021	182	12	,	,	PUNCT
ajst-8021	182	13	and	and	CCONJ
ajst-8021	182	14	x.	x.	PROPN
ajst-8021	182	15	li	li	PROPN
ajst-8021	182	16	,	,	PUNCT
ajst-8021	182	17	"	"	PUNCT
ajst-8021	182	18	fcanet	fcanet	NOUN
ajst-8021	182	19	:	:	PUNCT
ajst-8021	182	20	frequency	frequency	NOUN
ajst-8021	182	21	channel	channel	NOUN
ajst-8021	182	22	attention	attention	NOUN
ajst-8021	182	23	networks	network	NOUN
ajst-8021	182	24	,	,	PUNCT
ajst-8021	182	25	"	"	PUNCT
ajst-8021	182	26	in	in	ADP
ajst-8021	182	27	proceedings	proceeding	NOUN
ajst-8021	182	28	of	of	ADP
ajst-8021	182	29	the	the	DET
ajst-8021	182	30	ieee	ieee	NOUN
ajst-8021	182	31	/	/	SYM
ajst-8021	182	32	cvf	cvf	NOUN
ajst-8021	182	33	international	international	ADJ
ajst-8021	182	34	conference	conference	NOUN
ajst-8021	182	35	on	on	ADP
ajst-8021	182	36	computer	computer	NOUN
ajst-8021	182	37	vision	vision	NOUN
ajst-8021	182	38	,	,	PUNCT
ajst-8021	182	39	2021	2021	NUM
ajst-8021	182	40	,	,	PUNCT
ajst-8021	182	41	pp	pp	ADJ
ajst-8021	182	42	.	.	PUNCT
ajst-8021	183	1	783792	783792	NUM
ajst-8021	183	2	.	.	PUNCT
ajst-8021	184	1	[	[	X
ajst-8021	184	2	38	38	NUM
ajst-8021	184	3	]	]	PUNCT
ajst-8021	184	4	r.	r.	PROPN
ajst-8021	184	5	hou	hou	PROPN
ajst-8021	184	6	,	,	PUNCT
ajst-8021	184	7	b.	b.	PROPN
ajst-8021	184	8	ma	ma	PROPN
ajst-8021	184	9	,	,	PUNCT
ajst-8021	184	10	h.	h.	PROPN
ajst-8021	184	11	chang	chang	PROPN
ajst-8021	184	12	,	,	PUNCT
ajst-8021	184	13	x.	x.	PROPN
ajst-8021	184	14	gu	gu	PROPN
ajst-8021	184	15	,	,	PUNCT
ajst-8021	184	16	s.	s.	PROPN
ajst-8021	184	17	shan	shan	PROPN
ajst-8021	184	18	,	,	PUNCT
ajst-8021	184	19	and	and	CCONJ
ajst-8021	184	20	x.	x.	PROPN
ajst-8021	184	21	chen	chen	PROPN
ajst-8021	184	22	,	,	PUNCT
ajst-8021	184	23	"	"	PUNCT
ajst-8021	184	24	iaunet	iaunet	NOUN
ajst-8021	184	25	:	:	PUNCT
ajst-8021	184	26	global	global	ADJ
ajst-8021	184	27	context	context	NOUN
ajst-8021	184	28	-	-	PUNCT
ajst-8021	184	29	aware	aware	ADJ
ajst-8021	184	30	feature	feature	NOUN
ajst-8021	184	31	learning	learn	VERB
ajst-8021	184	32	for	for	ADP
ajst-8021	184	33	person	person	NOUN
ajst-8021	184	34	reidentification	reidentification	NOUN
ajst-8021	184	35	,	,	PUNCT
ajst-8021	184	36	"	"	PUNCT
ajst-8021	184	37	ieee	ieee	NOUN
ajst-8021	184	38	transactions	transaction	NOUN
ajst-8021	184	39	on	on	ADP
ajst-8021	184	40	neural	neural	ADJ
ajst-8021	184	41	networks	network	NOUN
ajst-8021	184	42	and	and	CCONJ
ajst-8021	184	43	learning	learning	NOUN
ajst-8021	184	44	systems	system	NOUN
ajst-8021	184	45	,	,	PUNCT
ajst-8021	184	46	vol	vol	NOUN
ajst-8021	184	47	.	.	PROPN
ajst-8021	185	1	32	32	NUM
ajst-8021	185	2	,	,	PUNCT
ajst-8021	185	3	no	no	INTJ
ajst-8021	185	4	.	.	NOUN
ajst-8021	185	5	10	10	NUM
ajst-8021	185	6	,	,	PUNCT
ajst-8021	185	7	pp	pp	ADJ
ajst-8021	185	8	.	.	PUNCT
ajst-8021	185	9	4460	4460	NUM
ajst-8021	185	10	-	-	SYM
ajst-8021	185	11	4474	4474	NUM
ajst-8021	185	12	,	,	PUNCT
ajst-8021	185	13	2020	2020	NUM
ajst-8021	185	14	.	.	PUNCT
ajst-8021	186	1	[	[	X
ajst-8021	186	2	39	39	NUM
ajst-8021	186	3	]	]	X
ajst-8021	186	4	y.	y.	PROPN
ajst-8021	186	5	yuan	yuan	PROPN
ajst-8021	186	6	,	,	PUNCT
ajst-8021	186	7	x.	x.	PROPN
ajst-8021	186	8	chen	chen	PROPN
ajst-8021	186	9	,	,	PUNCT
ajst-8021	186	10	and	and	CCONJ
ajst-8021	186	11	j.	j.	PROPN
ajst-8021	186	12	wang	wang	PROPN
ajst-8021	186	13	,	,	PUNCT
ajst-8021	186	14	"	"	PUNCT
ajst-8021	186	15	object	object	NOUN
ajst-8021	186	16	-	-	PUNCT
ajst-8021	186	17	contextual	contextual	ADJ
ajst-8021	186	18	representations	representation	NOUN
ajst-8021	186	19	for	for	ADP
ajst-8021	186	20	semantic	semantic	ADJ
ajst-8021	186	21	segmentation	segmentation	NOUN
ajst-8021	186	22	,	,	PUNCT
ajst-8021	186	23	"	"	PUNCT
ajst-8021	186	24	in	in	ADP
ajst-8021	186	25	computer	computer	NOUN
ajst-8021	186	26	vision	vision	NOUN
ajst-8021	186	27	–	–	PUNCT
ajst-8021	186	28	eccv	eccv	ADJ
ajst-8021	186	29	2020	2020	NUM
ajst-8021	186	30	:	:	PUNCT
ajst-8021	186	31	16th	16th	ADJ
ajst-8021	186	32	european	european	ADJ
ajst-8021	186	33	conference	conference	PROPN
ajst-8021	186	34	,	,	PUNCT
ajst-8021	186	35	glasgow	glasgow	PROPN
ajst-8021	186	36	,	,	PUNCT
ajst-8021	186	37	uk	uk	PROPN
ajst-8021	186	38	,	,	PUNCT
ajst-8021	186	39	august	august	PROPN
ajst-8021	186	40	23–28	23–28	NUM
ajst-8021	186	41	,	,	PUNCT
ajst-8021	186	42	2020	2020	NUM
ajst-8021	186	43	,	,	PUNCT
ajst-8021	186	44	proceedings	proceeding	NOUN
ajst-8021	186	45	,	,	PUNCT
ajst-8021	186	46	part	part	NOUN
ajst-8021	186	47	vi	vi	PROPN
ajst-8021	186	48	16	16	NUM
ajst-8021	186	49	,	,	PUNCT
ajst-8021	186	50	2020	2020	NUM
ajst-8021	186	51	:	:	PUNCT
ajst-8021	186	52	springer	springer	NOUN
ajst-8021	186	53	,	,	PUNCT
ajst-8021	186	54	pp	pp	ADP
ajst-8021	186	55	.	.	PUNCT
ajst-8021	187	1	173	173	NUM
ajst-8021	187	2	-	-	SYM
ajst-8021	187	3	190	190	NUM
ajst-8021	187	4	.	.	PUNCT
ajst-8021	188	1	[	[	X
ajst-8021	188	2	40	40	NUM
ajst-8021	188	3	]	]	PUNCT
ajst-8021	188	4	o.	o.	PROPN
ajst-8021	188	5	oktay	oktay	PROPN
ajst-8021	188	6	et	et	PROPN
ajst-8021	188	7	al	al	PROPN
ajst-8021	188	8	.	.	PROPN
ajst-8021	188	9	,	,	PUNCT
ajst-8021	188	10	"	"	PUNCT
ajst-8021	188	11	attention	attention	NOUN
ajst-8021	188	12	u	u	NOUN
ajst-8021	188	13	-	-	NOUN
ajst-8021	188	14	net	net	ADJ
ajst-8021	188	15	:	:	PUNCT
ajst-8021	188	16	learning	learn	VERB
ajst-8021	188	17	where	where	SCONJ
ajst-8021	188	18	to	to	PART
ajst-8021	188	19	look	look	VERB
ajst-8021	188	20	for	for	ADP
ajst-8021	188	21	the	the	DET
ajst-8021	188	22	pancreas	pancrea	NOUN
ajst-8021	188	23	,	,	PUNCT
ajst-8021	188	24	"	"	PUNCT
ajst-8021	188	25	arxiv	arxiv	PROPN
ajst-8021	188	26	preprint	preprint	NOUN
ajst-8021	188	27	arxiv:1804.03999	arxiv:1804.03999	NOUN
ajst-8021	188	28	,	,	PUNCT
ajst-8021	188	29	2018	2018	NUM
ajst-8021	188	30	.	.	PUNCT
ajst-8021	189	1	[	[	X
ajst-8021	189	2	41	41	NUM
ajst-8021	189	3	]	]	X
ajst-8021	189	4	c.	c.	PROPN
ajst-8021	189	5	li	li	PROPN
ajst-8021	189	6	et	et	PROPN
ajst-8021	189	7	al	al	PROPN
ajst-8021	189	8	.	.	PROPN
ajst-8021	189	9	,	,	PUNCT
ajst-8021	189	10	"	"	PUNCT
ajst-8021	189	11	anu	anu	NOUN
ajst-8021	189	12	-	-	PUNCT
ajst-8021	189	13	net	net	NOUN
ajst-8021	189	14	:	:	PUNCT
ajst-8021	189	15	attention	attention	NOUN
ajst-8021	189	16	-	-	PUNCT
ajst-8021	189	17	based	base	VERB
ajst-8021	189	18	nested	nest	VERB
ajst-8021	189	19	u	u	NOUN
ajst-8021	189	20	-	-	NOUN
ajst-8021	189	21	net	net	ADJ
ajst-8021	189	22	to	to	PART
ajst-8021	189	23	exploit	exploit	VERB
ajst-8021	189	24	full	full	ADJ
ajst-8021	189	25	resolution	resolution	NOUN
ajst-8021	189	26	features	feature	NOUN
ajst-8021	189	27	for	for	ADP
ajst-8021	189	28	medical	medical	ADJ
ajst-8021	189	29	image	image	NOUN
ajst-8021	189	30	segmentation	segmentation	NOUN
ajst-8021	189	31	,	,	PUNCT
ajst-8021	189	32	"	"	PUNCT
ajst-8021	189	33	computers	computer	NOUN
ajst-8021	189	34	&	&	CCONJ
ajst-8021	189	35	graphics	graphic	NOUN
ajst-8021	189	36	,	,	PUNCT
ajst-8021	189	37	vol	vol	NOUN
ajst-8021	189	38	.	.	PROPN
ajst-8021	189	39	90	90	NUM
ajst-8021	189	40	,	,	PUNCT
ajst-8021	189	41	pp	pp	ADJ
ajst-8021	189	42	.	.	PUNCT
ajst-8021	190	1	11	11	NUM
ajst-8021	190	2	-	-	SYM
ajst-8021	190	3	20	20	NUM
ajst-8021	190	4	,	,	PUNCT
ajst-8021	190	5	2020	2020	NUM
ajst-8021	190	6	.	.	PUNCT
ajst-8021	191	1	[	[	X
ajst-8021	191	2	42	42	NUM
ajst-8021	191	3	]	]	PUNCT
ajst-8021	191	4	r.	r.	PROPN
ajst-8021	191	5	gu	gu	PROPN
ajst-8021	191	6	et	et	PROPN
ajst-8021	191	7	al	al	PROPN
ajst-8021	191	8	.	.	PROPN
ajst-8021	191	9	,	,	PUNCT
ajst-8021	191	10	"	"	PUNCT
ajst-8021	191	11	ca	ca	NOUN
ajst-8021	191	12	-	-	PUNCT
ajst-8021	191	13	net	net	NOUN
ajst-8021	191	14	:	:	PUNCT
ajst-8021	191	15	comprehensive	comprehensive	ADJ
ajst-8021	191	16	attention	attention	NOUN
ajst-8021	191	17	convolutional	convolutional	ADJ
ajst-8021	191	18	neural	neural	ADJ
ajst-8021	191	19	networks	network	NOUN
ajst-8021	191	20	for	for	ADP
ajst-8021	191	21	explainable	explainable	ADJ
ajst-8021	191	22	medical	medical	ADJ
ajst-8021	191	23	image	image	NOUN
ajst-8021	191	24	segmentation	segmentation	NOUN
ajst-8021	191	25	,	,	PUNCT
ajst-8021	191	26	"	"	PUNCT
ajst-8021	191	27	ieee	ieee	NOUN
ajst-8021	191	28	transactions	transaction	NOUN
ajst-8021	191	29	on	on	ADP
ajst-8021	191	30	medical	medical	ADJ
ajst-8021	191	31	imaging	imaging	NOUN
ajst-8021	191	32	,	,	PUNCT
ajst-8021	191	33	vol	vol	NOUN
ajst-8021	191	34	.	.	PROPN
ajst-8021	191	35	40	40	NUM
ajst-8021	191	36	,	,	PUNCT
ajst-8021	191	37	no	no	INTJ
ajst-8021	191	38	.	.	NOUN
ajst-8021	191	39	2	2	NUM
ajst-8021	191	40	,	,	PUNCT
ajst-8021	191	41	pp	pp	ADJ
ajst-8021	191	42	.	.	PUNCT
ajst-8021	191	43	699711	699711	NUM
ajst-8021	191	44	,	,	PUNCT
ajst-8021	191	45	2020	2020	NUM
ajst-8021	191	46	.	.	PUNCT
ajst-8021	192	1	[	[	X
ajst-8021	192	2	43	43	NUM
ajst-8021	192	3	]	]	X
ajst-8021	192	4	j.	j.	PROPN
ajst-8021	192	5	hu	hu	PROPN
ajst-8021	192	6	,	,	PUNCT
ajst-8021	192	7	h.	h.	PROPN
ajst-8021	192	8	wang	wang	PROPN
ajst-8021	192	9	,	,	PUNCT
ajst-8021	192	10	j.	j.	PROPN
ajst-8021	192	11	wang	wang	PROPN
ajst-8021	192	12	,	,	PUNCT
ajst-8021	192	13	y.	y.	PROPN
ajst-8021	192	14	wang	wang	PROPN
ajst-8021	192	15	,	,	PUNCT
ajst-8021	192	16	f.	f.	PROPN
ajst-8021	192	17	he	he	PRON
ajst-8021	192	18	,	,	PUNCT
ajst-8021	192	19	and	and	CCONJ
ajst-8021	192	20	j.	j.	PROPN
ajst-8021	192	21	zhang	zhang	PROPN
ajst-8021	192	22	,	,	PUNCT
ajst-8021	192	23	"	"	PUNCT
ajst-8021	192	24	sanet	sanet	NOUN
ajst-8021	192	25	:	:	PUNCT
ajst-8021	192	26	a	a	DET
ajst-8021	192	27	scale	scale	NOUN
ajst-8021	192	28	-	-	PUNCT
ajst-8021	192	29	attention	attention	NOUN
ajst-8021	192	30	network	network	NOUN
ajst-8021	192	31	for	for	ADP
ajst-8021	192	32	medical	medical	ADJ
ajst-8021	192	33	image	image	NOUN
ajst-8021	192	34	segmentation	segmentation	NOUN
ajst-8021	192	35	,	,	PUNCT
ajst-8021	192	36	"	"	PUNCT
ajst-8021	192	37	plos	plos	PROPN
ajst-8021	192	38	one	one	NUM
ajst-8021	192	39	,	,	PUNCT
ajst-8021	192	40	vol	vol	NOUN
ajst-8021	192	41	.	.	PROPN
ajst-8021	192	42	16	16	NUM
ajst-8021	192	43	,	,	PUNCT
ajst-8021	192	44	no	no	INTJ
ajst-8021	192	45	.	.	NOUN
ajst-8021	192	46	4	4	NUM
ajst-8021	192	47	,	,	PUNCT
ajst-8021	192	48	p.	p.	NOUN
ajst-8021	192	49	e0247388	e0247388	NUM
ajst-8021	192	50	,	,	PUNCT
ajst-8021	192	51	2021	2021	NUM
ajst-8021	192	52	.	.	PUNCT
ajst-8021	193	1	[	[	X
ajst-8021	193	2	44	44	NUM
ajst-8021	193	3	]	]	X
ajst-8021	193	4	n.	n.	PROPN
ajst-8021	193	5	k.	k.	PROPN
ajst-8021	193	6	tomar	tomar	PROPN
ajst-8021	193	7	et	et	PROPN
ajst-8021	193	8	al	al	PROPN
ajst-8021	193	9	.	.	PROPN
ajst-8021	193	10	,	,	PUNCT
ajst-8021	193	11	"	"	PUNCT
ajst-8021	193	12	ddanet	ddanet	NOUN
ajst-8021	193	13	:	:	PUNCT
ajst-8021	193	14	dual	dual	ADJ
ajst-8021	193	15	decoder	decoder	NOUN
ajst-8021	193	16	attention	attention	NOUN
ajst-8021	193	17	network	network	NOUN
ajst-8021	193	18	for	for	ADP
ajst-8021	193	19	automatic	automatic	ADJ
ajst-8021	193	20	polyp	polyp	NOUN
ajst-8021	193	21	segmentation	segmentation	NOUN
ajst-8021	193	22	,	,	PUNCT
ajst-8021	193	23	"	"	PUNCT
ajst-8021	193	24	in	in	ADP
ajst-8021	193	25	pattern	pattern	NOUN
ajst-8021	193	26	recognition	recognition	NOUN
ajst-8021	193	27	.	.	PUNCT
ajst-8021	194	1	icpr	icpr	PROPN
ajst-8021	194	2	international	international	ADJ
ajst-8021	194	3	workshops	workshop	NOUN
ajst-8021	194	4	and	and	CCONJ
ajst-8021	194	5	challenges	challenge	NOUN
ajst-8021	194	6	:	:	PUNCT
ajst-8021	194	7	virtual	virtual	ADJ
ajst-8021	194	8	event	event	NOUN
ajst-8021	194	9	,	,	PUNCT
ajst-8021	194	10	january	january	PROPN
ajst-8021	194	11	10	10	NUM
ajst-8021	194	12	-	-	SYM
ajst-8021	194	13	15	15	NUM
ajst-8021	194	14	,	,	PUNCT
ajst-8021	194	15	2021	2021	NUM
ajst-8021	194	16	,	,	PUNCT
ajst-8021	194	17	proceedings	proceeding	NOUN
ajst-8021	194	18	,	,	PUNCT
ajst-8021	194	19	part	part	NOUN
ajst-8021	194	20	viii	viii	ADJ
ajst-8021	194	21	,	,	PUNCT
ajst-8021	194	22	2021	2021	NUM
ajst-8021	194	23	:	:	PUNCT
ajst-8021	194	24	springer	springer	NOUN
ajst-8021	194	25	,	,	PUNCT
ajst-8021	194	26	pp	pp	X
ajst-8021	194	27	.	.	PUNCT
ajst-8021	195	1	307	307	NUM
ajst-8021	195	2	-	-	SYM
ajst-8021	195	3	314	314	NUM
ajst-8021	195	4	.	.	PUNCT
ajst-8021	196	1	[	[	X
ajst-8021	196	2	45	45	NUM
ajst-8021	196	3	]	]	PUNCT
ajst-8021	196	4	z.	z.	PROPN
ajst-8021	196	5	wang	wang	PROPN
ajst-8021	196	6	,	,	PUNCT
ajst-8021	196	7	n.	n.	PROPN
ajst-8021	196	8	zou	zou	PROPN
ajst-8021	196	9	,	,	PUNCT
ajst-8021	196	10	d.	d.	PROPN
ajst-8021	196	11	shen	shen	PROPN
ajst-8021	196	12	,	,	PUNCT
ajst-8021	196	13	and	and	CCONJ
ajst-8021	196	14	s.	s.	PROPN
ajst-8021	196	15	ji	ji	PROPN
ajst-8021	196	16	,	,	PUNCT
ajst-8021	196	17	"	"	PUNCT
ajst-8021	196	18	non	non	ADJ
ajst-8021	196	19	-	-	ADJ
ajst-8021	196	20	local	local	ADJ
ajst-8021	196	21	u	u	NOUN
ajst-8021	196	22	-	-	NOUN
ajst-8021	196	23	nets	net	NOUN
ajst-8021	196	24	for	for	ADP
ajst-8021	196	25	biomedical	biomedical	ADJ
ajst-8021	196	26	image	image	NOUN
ajst-8021	196	27	segmentation	segmentation	NOUN
ajst-8021	196	28	,	,	PUNCT
ajst-8021	196	29	"	"	PUNCT
ajst-8021	196	30	in	in	ADP
ajst-8021	196	31	proceedings	proceeding	NOUN
ajst-8021	196	32	of	of	ADP
ajst-8021	196	33	the	the	DET
ajst-8021	196	34	aaai	aaai	PROPN
ajst-8021	196	35	conference	conference	NOUN
ajst-8021	196	36	on	on	ADP
ajst-8021	196	37	artificial	artificial	ADJ
ajst-8021	196	38	intelligence	intelligence	NOUN
ajst-8021	196	39	,	,	PUNCT
ajst-8021	196	40	2020	2020	NUM
ajst-8021	196	41	,	,	PUNCT
ajst-8021	196	42	vol	vol	NOUN
ajst-8021	196	43	.	.	PROPN
ajst-8021	196	44	34	34	NUM
ajst-8021	196	45	,	,	PUNCT
ajst-8021	196	46	no	no	INTJ
ajst-8021	196	47	.	.	NOUN
ajst-8021	196	48	04	04	NUM
ajst-8021	196	49	,	,	PUNCT
ajst-8021	196	50	pp	pp	ADJ
ajst-8021	196	51	.	.	PUNCT
ajst-8021	196	52	6315	6315	NUM
ajst-8021	196	53	-	-	SYM
ajst-8021	196	54	6322	6322	NUM
ajst-8021	196	55	.	.	PUNCT
ajst-8021	197	1	[	[	X
ajst-8021	197	2	46	46	NUM
ajst-8021	197	3	]	]	PUNCT
ajst-8021	197	4	t.	t.	PROPN
ajst-8021	197	5	qu	qu	PROPN
ajst-8021	197	6	et	et	PROPN
ajst-8021	197	7	al	al	PROPN
ajst-8021	197	8	.	.	PROPN
ajst-8021	197	9	,	,	PUNCT
ajst-8021	197	10	"	"	PUNCT
ajst-8021	197	11	m3net	m3net	NOUN
ajst-8021	197	12	:	:	PUNCT
ajst-8021	197	13	a	a	DET
ajst-8021	197	14	multi	multi	ADJ
ajst-8021	197	15	-	-	ADJ
ajst-8021	197	16	scale	scale	ADJ
ajst-8021	197	17	multi	multi	ADJ
ajst-8021	197	18	-	-	ADJ
ajst-8021	197	19	view	view	ADJ
ajst-8021	197	20	framework	framework	NOUN
ajst-8021	197	21	for	for	ADP
ajst-8021	197	22	multi	multi	ADJ
ajst-8021	197	23	-	-	ADJ
ajst-8021	197	24	phase	phase	ADJ
ajst-8021	197	25	pancreas	pancreas	NOUN
ajst-8021	197	26	segmentation	segmentation	NOUN
ajst-8021	197	27	based	base	VERB
ajst-8021	197	28	on	on	ADP
ajst-8021	197	29	cross	cross	ADJ
ajst-8021	197	30	-	-	ADJ
ajst-8021	197	31	phase	phase	ADJ
ajst-8021	197	32	nonlocal	nonlocal	ADJ
ajst-8021	197	33	attention	attention	NOUN
ajst-8021	197	34	,	,	PUNCT
ajst-8021	197	35	"	"	PUNCT
ajst-8021	197	36	medical	medical	ADJ
ajst-8021	197	37	image	image	NOUN
ajst-8021	197	38	analysis	analysis	NOUN
ajst-8021	197	39	,	,	PUNCT
ajst-8021	197	40	vol	vol	NOUN
ajst-8021	197	41	.	.	PROPN
ajst-8021	197	42	75	75	NUM
ajst-8021	197	43	,	,	PUNCT
ajst-8021	197	44	p.	p.	NOUN
ajst-8021	197	45	102232	102232	NUM
ajst-8021	197	46	,	,	PUNCT
ajst-8021	197	47	2022	2022	NUM
ajst-8021	197	48	.	.	PUNCT
ajst-8021	198	1	[	[	X
ajst-8021	198	2	47	47	NUM
ajst-8021	198	3	]	]	PUNCT
ajst-8021	198	4	a.	a.	NOUN
ajst-8021	198	5	lou	lou	PROPN
ajst-8021	198	6	,	,	PUNCT
ajst-8021	198	7	s.	s.	PROPN
ajst-8021	198	8	guan	guan	PROPN
ajst-8021	198	9	,	,	PUNCT
ajst-8021	198	10	and	and	CCONJ
ajst-8021	198	11	m.	m.	PROPN
ajst-8021	198	12	loew	loew	PROPN
ajst-8021	198	13	,	,	PUNCT
ajst-8021	198	14	"	"	PUNCT
ajst-8021	198	15	caranet	caranet	NOUN
ajst-8021	198	16	:	:	PUNCT
ajst-8021	198	17	context	context	NOUN
ajst-8021	198	18	axial	axial	ADJ
ajst-8021	198	19	reverse	reverse	ADJ
ajst-8021	198	20	attention	attention	NOUN
ajst-8021	198	21	network	network	NOUN
ajst-8021	198	22	for	for	ADP
ajst-8021	198	23	segmentation	segmentation	NOUN
ajst-8021	198	24	of	of	ADP
ajst-8021	198	25	small	small	ADJ
ajst-8021	198	26	medical	medical	ADJ
ajst-8021	198	27	objects	object	NOUN
ajst-8021	198	28	,	,	PUNCT
ajst-8021	198	29	"	"	PUNCT
ajst-8021	198	30	journal	journal	NOUN
ajst-8021	198	31	of	of	ADP
ajst-8021	198	32	medical	medical	ADJ
ajst-8021	198	33	imaging	imaging	NOUN
ajst-8021	198	34	,	,	PUNCT
ajst-8021	198	35	vol	vol	NOUN
ajst-8021	198	36	.	.	PROPN
ajst-8021	198	37	10	10	NUM
ajst-8021	198	38	,	,	PUNCT
ajst-8021	198	39	no	no	INTJ
ajst-8021	198	40	.	.	NOUN
ajst-8021	198	41	1	1	NUM
ajst-8021	198	42	,	,	PUNCT
ajst-8021	198	43	p.	p.	NOUN
ajst-8021	198	44	014005	014005	NUM
ajst-8021	198	45	,	,	PUNCT
ajst-8021	198	46	2023	2023	NUM
ajst-8021	198	47	.	.	PUNCT
ajst-8021	199	1	[	[	X
ajst-8021	199	2	48	48	NUM
ajst-8021	199	3	]	]	PUNCT
ajst-8021	199	4	j.	j.	PROPN
ajst-8021	199	5	chen	chen	PROPN
ajst-8021	199	6	et	et	PROPN
ajst-8021	199	7	al	al	PROPN
ajst-8021	199	8	.	.	PROPN
ajst-8021	199	9	,	,	PUNCT
ajst-8021	199	10	"	"	PUNCT
ajst-8021	199	11	transunet	transunet	NOUN
ajst-8021	199	12	:	:	PUNCT
ajst-8021	199	13	transformers	transformer	NOUN
ajst-8021	199	14	make	make	VERB
ajst-8021	199	15	strong	strong	ADJ
ajst-8021	199	16	encoders	encoder	NOUN
ajst-8021	199	17	for	for	ADP
ajst-8021	199	18	medical	medical	ADJ
ajst-8021	199	19	image	image	NOUN
ajst-8021	199	20	segmentation	segmentation	NOUN
ajst-8021	199	21	,	,	PUNCT
ajst-8021	199	22	"	"	PUNCT
ajst-8021	199	23	arxiv	arxiv	PROPN
ajst-8021	199	24	preprint	preprint	NOUN
ajst-8021	199	25	arxiv:2102.04306	arxiv:2102.04306	NOUN
ajst-8021	199	26	,	,	PUNCT
ajst-8021	199	27	2021	2021	NUM
ajst-8021	199	28	.	.	PUNCT
ajst-8021	200	1	[	[	X
ajst-8021	200	2	49	49	NUM
ajst-8021	200	3	]	]	X
ajst-8021	200	4	o.	o.	NOUN
ajst-8021	200	5	petit	petit	NOUN
ajst-8021	200	6	,	,	PUNCT
ajst-8021	200	7	n.	n.	PROPN
ajst-8021	200	8	thome	thome	PROPN
ajst-8021	200	9	,	,	PUNCT
ajst-8021	200	10	c.	c.	PROPN
ajst-8021	200	11	rambour	rambour	PROPN
ajst-8021	200	12	,	,	PUNCT
ajst-8021	200	13	l.	l.	PROPN
ajst-8021	200	14	themyr	themyr	PROPN
ajst-8021	200	15	,	,	PUNCT
ajst-8021	200	16	t.	t.	PROPN
ajst-8021	200	17	collins	collins	PROPN
ajst-8021	200	18	,	,	PUNCT
ajst-8021	200	19	and	and	CCONJ
ajst-8021	200	20	l.	l.	PROPN
ajst-8021	200	21	soler	soler	PROPN
ajst-8021	200	22	,	,	PUNCT
ajst-8021	200	23	"	"	PUNCT
ajst-8021	200	24	u	u	ADJ
ajst-8021	200	25	-	-	ADJ
ajst-8021	200	26	net	net	ADJ
ajst-8021	200	27	transformer	transformer	NOUN
ajst-8021	200	28	:	:	PUNCT
ajst-8021	200	29	self	self	NOUN
ajst-8021	200	30	and	and	CCONJ
ajst-8021	200	31	cross	cross	VERB
ajst-8021	200	32	attention	attention	NOUN
ajst-8021	200	33	for	for	ADP
ajst-8021	200	34	medical	medical	ADJ
ajst-8021	200	35	image	image	NOUN
ajst-8021	200	36	segmentation	segmentation	NOUN
ajst-8021	200	37	,	,	PUNCT
ajst-8021	200	38	"	"	PUNCT
ajst-8021	200	39	in	in	ADP
ajst-8021	200	40	machine	machine	NOUN
ajst-8021	200	41	learning	learning	NOUN
ajst-8021	200	42	in	in	ADP
ajst-8021	200	43	medical	medical	ADJ
ajst-8021	200	44	imaging	imaging	NOUN
ajst-8021	200	45	:	:	PUNCT
ajst-8021	200	46	12th	12th	ADJ
ajst-8021	200	47	international	international	ADJ
ajst-8021	200	48	workshop	workshop	NOUN
ajst-8021	200	49	,	,	PUNCT
ajst-8021	200	50	mlmi	mlmi	NOUN
ajst-8021	200	51	2021	2021	NUM
ajst-8021	200	52	,	,	PUNCT
ajst-8021	200	53	held	hold	VERB
ajst-8021	200	54	in	in	ADP
ajst-8021	200	55	conjunction	conjunction	NOUN
ajst-8021	200	56	with	with	ADP
ajst-8021	200	57	miccai	miccai	NOUN
ajst-8021	200	58	2021	2021	NUM
ajst-8021	200	59	,	,	PUNCT
ajst-8021	200	60	strasbourg	strasbourg	NOUN
ajst-8021	200	61	,	,	PUNCT
ajst-8021	200	62	france	france	PROPN
ajst-8021	200	63	,	,	PUNCT
ajst-8021	200	64	september	september	PROPN
ajst-8021	200	65	27	27	NUM
ajst-8021	200	66	,	,	PUNCT
ajst-8021	200	67	2021	2021	NUM
ajst-8021	200	68	,	,	PUNCT
ajst-8021	200	69	proceedings	proceeding	NOUN
ajst-8021	200	70	12	12	NUM
ajst-8021	200	71	,	,	PUNCT
ajst-8021	200	72	2021	2021	NUM
ajst-8021	200	73	:	:	PUNCT
ajst-8021	200	74	springer	springer	NOUN
ajst-8021	200	75	,	,	PUNCT
ajst-8021	200	76	pp	pp	ADP
ajst-8021	200	77	.	.	PUNCT
ajst-8021	200	78	267276	267276	NUM
ajst-8021	200	79	.	.	PUNCT
ajst-8021	201	1	[	[	X
ajst-8021	201	2	50	50	NUM
ajst-8021	201	3	]	]	PUNCT
ajst-8021	201	4	a.	a.	NOUN
ajst-8021	201	5	hatamizadeh	hatamizadeh	NOUN
ajst-8021	201	6	,	,	PUNCT
ajst-8021	201	7	v.	v.	ADP
ajst-8021	201	8	nath	nath	PROPN
ajst-8021	201	9	,	,	PUNCT
ajst-8021	201	10	y.	y.	PROPN
ajst-8021	201	11	tang	tang	PROPN
ajst-8021	201	12	,	,	PUNCT
ajst-8021	201	13	d.	d.	PROPN
ajst-8021	201	14	yang	yang	PROPN
ajst-8021	201	15	,	,	PUNCT
ajst-8021	201	16	h.	h.	PROPN
ajst-8021	201	17	r.	r.	PROPN
ajst-8021	201	18	roth	roth	PROPN
ajst-8021	201	19	,	,	PUNCT
ajst-8021	201	20	and	and	CCONJ
ajst-8021	201	21	d.	d.	PROPN
ajst-8021	201	22	xu	xu	PROPN
ajst-8021	201	23	,	,	PUNCT
ajst-8021	201	24	"	"	PUNCT
ajst-8021	201	25	swin	swin	PROPN
ajst-8021	201	26	unetr	unetr	PROPN
ajst-8021	201	27	:	:	PUNCT
ajst-8021	201	28	swin	swin	PROPN
ajst-8021	201	29	transformers	transformer	NOUN
ajst-8021	201	30	for	for	ADP
ajst-8021	201	31	semantic	semantic	ADJ
ajst-8021	201	32	segmentation	segmentation	NOUN
ajst-8021	201	33	of	of	ADP
ajst-8021	201	34	brain	brain	NOUN
ajst-8021	201	35	tumors	tumor	NOUN
ajst-8021	201	36	in	in	ADP
ajst-8021	201	37	mri	mri	NOUN
ajst-8021	201	38	images	image	NOUN
ajst-8021	201	39	,	,	PUNCT
ajst-8021	201	40	"	"	PUNCT
ajst-8021	201	41	in	in	ADP
ajst-8021	201	42	brainlesion	brainlesion	NOUN
ajst-8021	201	43	:	:	PUNCT
ajst-8021	201	44	glioma	glioma	NOUN
ajst-8021	201	45	,	,	PUNCT
ajst-8021	201	46	multiple	multiple	ADJ
ajst-8021	201	47	sclerosis	sclerosis	NOUN
ajst-8021	201	48	,	,	PUNCT
ajst-8021	201	49	stroke	stroke	NOUN
ajst-8021	201	50	and	and	CCONJ
ajst-8021	201	51	traumatic	traumatic	ADJ
ajst-8021	201	52	brain	brain	NOUN
ajst-8021	201	53	injuries	injury	NOUN
ajst-8021	201	54	:	:	PUNCT
ajst-8021	201	55	7th	7th	ADJ
ajst-8021	201	56	international	international	ADJ
ajst-8021	201	57	workshop	workshop	NOUN
ajst-8021	201	58	,	,	PUNCT
ajst-8021	201	59	brainles	brainle	NOUN
ajst-8021	201	60	2021	2021	NUM
ajst-8021	201	61	,	,	PUNCT
ajst-8021	201	62	held	hold	VERB
ajst-8021	201	63	in	in	ADP
ajst-8021	201	64	conjunction	conjunction	NOUN
ajst-8021	201	65	with	with	ADP
ajst-8021	201	66	miccai	miccai	NOUN
ajst-8021	201	67	2021	2021	NUM
ajst-8021	201	68	,	,	PUNCT
ajst-8021	201	69	virtual	virtual	ADJ
ajst-8021	201	70	event	event	NOUN
ajst-8021	201	71	,	,	PUNCT
ajst-8021	201	72	september	september	PROPN
ajst-8021	201	73	27	27	NUM
ajst-8021	201	74	,	,	PUNCT
ajst-8021	201	75	2021	2021	NUM
ajst-8021	201	76	,	,	PUNCT
ajst-8021	201	77	revised	revise	VERB
ajst-8021	201	78	selected	selected	ADJ
ajst-8021	201	79	papers	paper	NOUN
ajst-8021	201	80	,	,	PUNCT
ajst-8021	201	81	part	part	NOUN
ajst-8021	201	82	i	i	PROPN
ajst-8021	201	83	,	,	PUNCT
ajst-8021	201	84	2022	2022	NUM
ajst-8021	201	85	:	:	PUNCT
ajst-8021	201	86	springer	springer	NOUN
ajst-8021	201	87	,	,	PUNCT
ajst-8021	201	88	pp	pp	X
ajst-8021	201	89	.	.	PUNCT
ajst-8021	201	90	272284	272284	NUM
ajst-8021	201	91	.	.	PUNCT
ajst-8021	202	1	[	[	X
ajst-8021	202	2	51	51	NUM
ajst-8021	202	3	]	]	PUNCT
ajst-8021	202	4	z.	z.	PROPN
ajst-8021	202	5	liu	liu	PROPN
ajst-8021	202	6	et	et	PROPN
ajst-8021	202	7	al	al	PROPN
ajst-8021	202	8	.	.	PROPN
ajst-8021	202	9	,	,	PUNCT
ajst-8021	202	10	"	"	PUNCT
ajst-8021	202	11	swin	swin	PROPN
ajst-8021	202	12	transformer	transformer	PROPN
ajst-8021	202	13	:	:	PUNCT
ajst-8021	202	14	hierarchical	hierarchical	ADJ
ajst-8021	202	15	vision	vision	NOUN
ajst-8021	202	16	transformer	transformer	NOUN
ajst-8021	202	17	using	use	VERB
ajst-8021	202	18	shifted	shift	VERB
ajst-8021	202	19	windows	window	NOUN
ajst-8021	202	20	,	,	PUNCT
ajst-8021	202	21	"	"	PUNCT
ajst-8021	202	22	in	in	ADP
ajst-8021	202	23	proceedings	proceeding	NOUN
ajst-8021	202	24	of	of	ADP
ajst-8021	202	25	the	the	DET
ajst-8021	202	26	ieee	ieee	NOUN
ajst-8021	202	27	/	/	SYM
ajst-8021	202	28	cvf	cvf	NOUN
ajst-8021	202	29	international	international	ADJ
ajst-8021	202	30	conference	conference	NOUN
ajst-8021	202	31	on	on	ADP
ajst-8021	202	32	computer	computer	NOUN
ajst-8021	202	33	vision	vision	NOUN
ajst-8021	202	34	,	,	PUNCT
ajst-8021	202	35	2021	2021	NUM
ajst-8021	202	36	,	,	PUNCT
ajst-8021	202	37	pp	pp	ADJ
ajst-8021	202	38	.	.	PUNCT
ajst-8021	202	39	10012	10012	NUM
ajst-8021	202	40	-	-	SYM
ajst-8021	202	41	10022	10022	NUM
ajst-8021	202	42	.	.	PUNCT