id	sid	tid	token	lemma	pos
fcis-13128	1	1	frontiers	frontier	NOUN
fcis-13128	1	2	in	in	ADP
fcis-13128	1	3	computing	computing	NOUN
fcis-13128	1	4	and	and	CCONJ
fcis-13128	1	5	intelligent	intelligent	ADJ
fcis-13128	1	6	systems	system	NOUN
fcis-13128	1	7	issn	issn	VERB
fcis-13128	1	8	:	:	PUNCT
fcis-13128	1	9	2832	2832	NUM
fcis-13128	1	10	-	-	SYM
fcis-13128	1	11	6024	6024	NUM
fcis-13128	1	12	|	|	NOUN
fcis-13128	1	13	vol	vol	NOUN
fcis-13128	1	14	.	.	PROPN
fcis-13128	2	1	5	5	NUM
fcis-13128	2	2	,	,	PUNCT
fcis-13128	2	3	no	no	INTJ
fcis-13128	2	4	.	.	NOUN
fcis-13128	2	5	2	2	NUM
fcis-13128	2	6	,	,	PUNCT
fcis-13128	2	7	2023	2023	NUM
fcis-13128	2	8	116	116	NUM
fcis-13128	2	9	research	research	NOUN
fcis-13128	2	10	on	on	ADP
fcis-13128	2	11	derived	derived	ADJ
fcis-13128	2	12	tasks	task	NOUN
fcis-13128	2	13	and	and	CCONJ
fcis-13128	2	14	realistic	realistic	ADJ
fcis-13128	2	15	applications	application	NOUN
fcis-13128	2	16	of	of	ADP
fcis-13128	2	17	segment	segment	NOUN
fcis-13128	2	18	anything	anything	PRON
fcis-13128	2	19	model	model	NOUN
fcis-13128	2	20	:	:	PUNCT
fcis-13128	2	21	a	a	DET
fcis-13128	2	22	literature	literature	NOUN
fcis-13128	2	23	review	review	NOUN
fcis-13128	2	24	juanhua	juanhua	PROPN
fcis-13128	2	25	zhang	zhang	PROPN
fcis-13128	2	26	*	*	PUNCT
fcis-13128	2	27	school	school	PROPN
fcis-13128	2	28	of	of	ADP
fcis-13128	2	29	biomedical	biomedical	ADJ
fcis-13128	2	30	engineering	engineering	NOUN
fcis-13128	2	31	,	,	PUNCT
fcis-13128	2	32	northeastern	northeastern	ADJ
fcis-13128	2	33	university	university	PROPN
fcis-13128	2	34	,	,	PUNCT
fcis-13128	2	35	shenyang	shenyang	PROPN
fcis-13128	2	36	,	,	PUNCT
fcis-13128	2	37	liaoning	liaoning	NOUN
fcis-13128	2	38	110016	110016	NUM
fcis-13128	2	39	,	,	PUNCT
fcis-13128	2	40	china	china	PROPN
fcis-13128	2	41	*	*	PUNCT
fcis-13128	2	42	corresponding	correspond	VERB
fcis-13128	2	43	author	author	NOUN
fcis-13128	2	44	email	email	NOUN
fcis-13128	2	45	:	:	PUNCT
fcis-13128	3	1	zhangjuanhua_neu@163.com	zhangjuanhua_neu@163.com	X
fcis-13128	3	2	abstract	abstract	NOUN
fcis-13128	3	3	:	:	PUNCT
fcis-13128	3	4	with	with	ADP
fcis-13128	3	5	the	the	DET
fcis-13128	3	6	rapid	rapid	ADJ
fcis-13128	3	7	development	development	NOUN
fcis-13128	3	8	of	of	ADP
fcis-13128	3	9	deep	deep	ADJ
fcis-13128	3	10	learning	learning	NOUN
fcis-13128	3	11	technology	technology	NOUN
fcis-13128	3	12	,	,	PUNCT
fcis-13128	3	13	unprecedented	unprecedented	ADJ
fcis-13128	3	14	achievements	achievement	NOUN
fcis-13128	3	15	have	have	AUX
fcis-13128	3	16	been	be	AUX
fcis-13128	3	17	made	make	VERB
fcis-13128	3	18	in	in	ADP
fcis-13128	3	19	the	the	DET
fcis-13128	3	20	field	field	NOUN
fcis-13128	3	21	of	of	ADP
fcis-13128	3	22	computer	computer	NOUN
fcis-13128	3	23	vision	vision	NOUN
fcis-13128	3	24	,	,	PUNCT
fcis-13128	3	25	and	and	CCONJ
fcis-13128	3	26	the	the	DET
fcis-13128	3	27	release	release	NOUN
fcis-13128	3	28	of	of	ADP
fcis-13128	3	29	the	the	DET
fcis-13128	3	30	segment	segment	NOUN
fcis-13128	3	31	anything	anything	PRON
fcis-13128	3	32	model	model	NOUN
fcis-13128	3	33	(	(	PUNCT
fcis-13128	3	34	sam	sam	PROPN
fcis-13128	3	35	)	)	PUNCT
fcis-13128	3	36	has	have	AUX
fcis-13128	3	37	shocked	shock	VERB
fcis-13128	3	38	the	the	DET
fcis-13128	3	39	world	world	NOUN
fcis-13128	3	40	even	even	ADV
fcis-13128	3	41	more	more	ADV
fcis-13128	3	42	.	.	PUNCT
fcis-13128	4	1	however	however	ADV
fcis-13128	4	2	,	,	PUNCT
fcis-13128	4	3	with	with	ADP
fcis-13128	4	4	the	the	DET
fcis-13128	4	5	continuous	continuous	ADJ
fcis-13128	4	6	evolution	evolution	NOUN
fcis-13128	4	7	of	of	ADP
fcis-13128	4	8	technology	technology	NOUN
fcis-13128	4	9	,	,	PUNCT
fcis-13128	4	10	researchers	researcher	NOUN
fcis-13128	4	11	have	have	AUX
fcis-13128	4	12	begun	begin	VERB
fcis-13128	4	13	to	to	PART
fcis-13128	4	14	pay	pay	VERB
fcis-13128	4	15	attention	attention	NOUN
fcis-13128	4	16	to	to	ADP
fcis-13128	4	17	the	the	DET
fcis-13128	4	18	model	model	NOUN
fcis-13128	4	19	in	in	ADP
fcis-13128	4	20	more	more	ADJ
fcis-13128	4	21	complex	complex	ADJ
fcis-13128	4	22	scenarios	scenario	NOUN
fcis-13128	4	23	and	and	CCONJ
fcis-13128	4	24	problem	problem	NOUN
fcis-13128	4	25	situations	situation	NOUN
fcis-13128	4	26	.	.	PUNCT
fcis-13128	5	1	this	this	DET
fcis-13128	5	2	review	review	NOUN
fcis-13128	5	3	will	will	AUX
fcis-13128	5	4	delve	delve	VERB
fcis-13128	5	5	into	into	ADP
fcis-13128	5	6	a	a	DET
fcis-13128	5	7	series	series	NOUN
fcis-13128	5	8	of	of	ADP
fcis-13128	5	9	potential	potential	ADJ
fcis-13128	5	10	derivative	derivative	ADJ
fcis-13128	5	11	tasks	task	NOUN
fcis-13128	5	12	and	and	CCONJ
fcis-13128	5	13	practical	practical	ADJ
fcis-13128	5	14	applications	application	NOUN
fcis-13128	5	15	of	of	ADP
fcis-13128	5	16	sam	sam	PROPN
fcis-13128	5	17	,	,	PUNCT
fcis-13128	5	18	as	as	ADV
fcis-13128	5	19	well	well	ADV
fcis-13128	5	20	as	as	ADP
fcis-13128	5	21	how	how	SCONJ
fcis-13128	5	22	to	to	PART
fcis-13128	5	23	address	address	VERB
fcis-13128	5	24	these	these	DET
fcis-13128	5	25	tasks	task	NOUN
fcis-13128	5	26	through	through	ADP
fcis-13128	5	27	innovative	innovative	ADJ
fcis-13128	5	28	sam	sam	PROPN
fcis-13128	5	29	based	base	VERB
fcis-13128	5	30	methods	method	NOUN
fcis-13128	5	31	.	.	PUNCT
fcis-13128	6	1	the	the	DET
fcis-13128	6	2	author	author	NOUN
fcis-13128	6	3	will	will	AUX
fcis-13128	6	4	explore	explore	VERB
fcis-13128	6	5	the	the	DET
fcis-13128	6	6	applications	application	NOUN
fcis-13128	6	7	,	,	PUNCT
fcis-13128	6	8	advantages	advantage	NOUN
fcis-13128	6	9	,	,	PUNCT
fcis-13128	6	10	and	and	CCONJ
fcis-13128	6	11	challenges	challenge	NOUN
fcis-13128	6	12	of	of	ADP
fcis-13128	6	13	sam	sam	PROPN
fcis-13128	6	14	model	model	NOUN
fcis-13128	6	15	in	in	ADP
fcis-13128	6	16	image	image	NOUN
fcis-13128	6	17	segmentation	segmentation	NOUN
fcis-13128	6	18	,	,	PUNCT
fcis-13128	6	19	object	object	VERB
fcis-13128	6	20	detection	detection	NOUN
fcis-13128	6	21	,	,	PUNCT
fcis-13128	6	22	image	image	NOUN
fcis-13128	6	23	restoration	restoration	NOUN
fcis-13128	6	24	,	,	PUNCT
fcis-13128	6	25	remote	remote	ADJ
fcis-13128	6	26	sensing	sensing	NOUN
fcis-13128	6	27	,	,	PUNCT
fcis-13128	6	28	and	and	CCONJ
fcis-13128	6	29	medical	medical	ADJ
fcis-13128	6	30	fields	field	NOUN
fcis-13128	6	31	,	,	PUNCT
fcis-13128	6	32	aiming	aim	VERB
fcis-13128	6	33	to	to	PART
fcis-13128	6	34	provide	provide	VERB
fcis-13128	6	35	inspiration	inspiration	NOUN
fcis-13128	6	36	for	for	ADP
fcis-13128	6	37	researchers	researcher	NOUN
fcis-13128	6	38	in	in	ADP
fcis-13128	6	39	the	the	DET
fcis-13128	6	40	field	field	NOUN
fcis-13128	6	41	of	of	ADP
fcis-13128	6	42	computer	computer	NOUN
fcis-13128	6	43	vision	vision	NOUN
fcis-13128	6	44	.	.	PUNCT
fcis-13128	7	1	keywords	keyword	NOUN
fcis-13128	7	2	:	:	PUNCT
fcis-13128	7	3	segment	segment	VERB
fcis-13128	7	4	anything	anything	PRON
fcis-13128	7	5	;	;	PUNCT
fcis-13128	7	6	image	image	NOUN
fcis-13128	7	7	segmentation	segmentation	NOUN
fcis-13128	7	8	;	;	PUNCT
fcis-13128	7	9	object	object	NOUN
fcis-13128	7	10	detection	detection	NOUN
fcis-13128	7	11	;	;	PUNCT
fcis-13128	7	12	image	image	NOUN
fcis-13128	7	13	inpainting	inpainting	NOUN
fcis-13128	7	14	;	;	PUNCT
fcis-13128	7	15	remote	remote	ADJ
fcis-13128	7	16	sensing	sensing	NOUN
fcis-13128	7	17	images	image	NOUN
fcis-13128	7	18	;	;	PUNCT
fcis-13128	7	19	medical	medical	ADJ
fcis-13128	7	20	images	image	NOUN
fcis-13128	7	21	.	.	PUNCT
fcis-13128	8	1	1	1	X
fcis-13128	8	2	.	.	X
fcis-13128	8	3	introduction	introduction	NOUN
fcis-13128	8	4	the	the	DET
fcis-13128	8	5	segment	segment	NOUN
fcis-13128	8	6	anything	anything	PRON
fcis-13128	8	7	model	model	NOUN
fcis-13128	8	8	(	(	PUNCT
fcis-13128	8	9	sam	sam	PROPN
fcis-13128	8	10	)	)	PUNCT
fcis-13128	8	11	is	be	AUX
fcis-13128	8	12	a	a	DET
fcis-13128	8	13	fundamental	fundamental	ADJ
fcis-13128	8	14	model	model	NOUN
fcis-13128	8	15	for	for	ADP
fcis-13128	8	16	image	image	NOUN
fcis-13128	8	17	segmentation	segmentation	NOUN
fcis-13128	8	18	,	,	PUNCT
fcis-13128	8	19	proposed	propose	VERB
fcis-13128	8	20	by	by	ADP
fcis-13128	8	21	alexander	alexander	PROPN
fcis-13128	8	22	kirillov	kirillov	PROPN
fcis-13128	8	23	et	et	PROPN
fcis-13128	8	24	al	al	PROPN
fcis-13128	8	25	.	.	PUNCT
fcis-13128	9	1	this	this	DET
fcis-13128	9	2	model	model	NOUN
fcis-13128	9	3	draws	draw	VERB
fcis-13128	9	4	on	on	ADP
fcis-13128	9	5	the	the	DET
fcis-13128	9	6	basic	basic	ADJ
fcis-13128	9	7	models	model	NOUN
fcis-13128	9	8	in	in	ADP
fcis-13128	9	9	the	the	DET
fcis-13128	9	10	nlp	nlp	NOUN
fcis-13128	9	11	field	field	NOUN
fcis-13128	9	12	and	and	CCONJ
fcis-13128	9	13	the	the	DET
fcis-13128	9	14	idea	idea	NOUN
fcis-13128	9	15	of	of	ADP
fcis-13128	9	16	constructing	construct	VERB
fcis-13128	9	17	large	large	ADJ
fcis-13128	9	18	datasets	dataset	NOUN
fcis-13128	9	19	using	use	VERB
fcis-13128	9	20	billions	billion	NOUN
fcis-13128	9	21	of	of	ADP
fcis-13128	9	22	tokens	token	NOUN
fcis-13128	9	23	.	.	PUNCT
fcis-13128	10	1	sam	sam	PROPN
fcis-13128	10	2	can	can	AUX
fcis-13128	10	3	generate	generate	VERB
fcis-13128	10	4	high	high	ADJ
fcis-13128	10	5	-	-	PUNCT
fcis-13128	10	6	quality	quality	NOUN
fcis-13128	10	7	object	object	NOUN
fcis-13128	10	8	masks	mask	NOUN
fcis-13128	10	9	based	base	VERB
fcis-13128	10	10	on	on	ADP
fcis-13128	10	11	input	input	NOUN
fcis-13128	10	12	prompts	prompt	NOUN
fcis-13128	10	13	(	(	PUNCT
fcis-13128	10	14	such	such	ADJ
fcis-13128	10	15	as	as	ADP
fcis-13128	10	16	points	point	NOUN
fcis-13128	10	17	or	or	CCONJ
fcis-13128	10	18	boxes	box	NOUN
fcis-13128	10	19	)	)	PUNCT
fcis-13128	10	20	,	,	PUNCT
fcis-13128	10	21	which	which	PRON
fcis-13128	10	22	are	be	AUX
fcis-13128	10	23	used	use	VERB
fcis-13128	10	24	to	to	PART
fcis-13128	10	25	generate	generate	VERB
fcis-13128	10	26	masks	mask	NOUN
fcis-13128	10	27	for	for	ADP
fcis-13128	10	28	all	all	DET
fcis-13128	10	29	objects	object	NOUN
fcis-13128	10	30	in	in	ADP
fcis-13128	10	31	the	the	DET
fcis-13128	10	32	image	image	NOUN
fcis-13128	10	33	.	.	PUNCT
fcis-13128	11	1	this	this	DET
fcis-13128	11	2	model	model	NOUN
fcis-13128	11	3	has	have	AUX
fcis-13128	11	4	been	be	AUX
fcis-13128	11	5	trained	train	VERB
fcis-13128	11	6	on	on	ADP
fcis-13128	11	7	a	a	DET
fcis-13128	11	8	dataset	dataset	NOUN
fcis-13128	11	9	containing	contain	VERB
fcis-13128	11	10	11	11	NUM
fcis-13128	11	11	million	million	NUM
fcis-13128	11	12	images	image	NOUN
fcis-13128	11	13	and	and	CCONJ
fcis-13128	11	14	1.1	1.1	NUM
fcis-13128	11	15	billion	billion	NUM
fcis-13128	11	16	masks	mask	NOUN
fcis-13128	11	17	,	,	PUNCT
fcis-13128	11	18	demonstrating	demonstrate	VERB
fcis-13128	11	19	excellent	excellent	ADJ
fcis-13128	11	20	zero	zero	NUM
fcis-13128	11	21	sample	sample	NOUN
fcis-13128	11	22	performance	performance	NOUN
fcis-13128	11	23	and	and	CCONJ
fcis-13128	11	24	is	be	AUX
fcis-13128	11	25	suitable	suitable	ADJ
fcis-13128	11	26	for	for	ADP
fcis-13128	11	27	various	various	ADJ
fcis-13128	11	28	segmentation	segmentation	NOUN
fcis-13128	11	29	tasks	task	NOUN
fcis-13128	11	30	.	.	PUNCT
fcis-13128	12	1	on	on	ADP
fcis-13128	12	2	the	the	DET
fcis-13128	12	3	other	other	ADJ
fcis-13128	12	4	hand	hand	NOUN
fcis-13128	12	5	,	,	PUNCT
fcis-13128	12	6	it	it	PRON
fcis-13128	12	7	provides	provide	VERB
fcis-13128	12	8	a	a	DET
fcis-13128	12	9	fully	fully	ADV
fcis-13128	12	10	automated	automate	VERB
fcis-13128	12	11	and	and	CCONJ
fcis-13128	12	12	suggestive	suggestive	ADJ
fcis-13128	12	13	image	image	NOUN
fcis-13128	12	14	segmentation	segmentation	NOUN
fcis-13128	12	15	model	model	NOUN
fcis-13128	12	16	construction	construction	NOUN
fcis-13128	12	17	method	method	NOUN
fcis-13128	12	18	that	that	PRON
fcis-13128	12	19	requires	require	VERB
fcis-13128	12	20	almost	almost	ADV
fcis-13128	12	21	no	no	DET
fcis-13128	12	22	human	human	ADJ
fcis-13128	12	23	intervention	intervention	NOUN
fcis-13128	12	24	.	.	PUNCT
fcis-13128	13	1	compared	compare	VERB
fcis-13128	13	2	to	to	ADP
fcis-13128	13	3	early	early	ADJ
fcis-13128	13	4	deep	deep	ADJ
fcis-13128	13	5	learning	learning	NOUN
fcis-13128	13	6	methods	method	NOUN
fcis-13128	13	7	,	,	PUNCT
fcis-13128	13	8	sam	sam	PROPN
fcis-13128	13	9	no	no	ADV
fcis-13128	13	10	longer	long	ADV
fcis-13128	13	11	requires	require	VERB
fcis-13128	13	12	specialized	specialized	ADJ
fcis-13128	13	13	training	training	NOUN
fcis-13128	13	14	data	datum	NOUN
fcis-13128	13	15	collection	collection	NOUN
fcis-13128	13	16	,	,	PUNCT
fcis-13128	13	17	manual	manual	ADJ
fcis-13128	13	18	annotation	annotation	NOUN
fcis-13128	13	19	,	,	PUNCT
fcis-13128	13	20	and	and	CCONJ
fcis-13128	13	21	several	several	ADJ
fcis-13128	13	22	hours	hour	NOUN
fcis-13128	13	23	of	of	ADP
fcis-13128	13	24	training	training	NOUN
fcis-13128	13	25	process	process	NOUN
fcis-13128	13	26	[	[	X
fcis-13128	13	27	1	1	NUM
fcis-13128	13	28	]	]	PUNCT
fcis-13128	13	29	.	.	PUNCT
fcis-13128	14	1	in	in	ADP
fcis-13128	14	2	addition	addition	NOUN
fcis-13128	14	3	,	,	PUNCT
fcis-13128	14	4	image	image	NOUN
fcis-13128	14	5	segmentation	segmentation	NOUN
fcis-13128	14	6	,	,	PUNCT
fcis-13128	14	7	object	object	VERB
fcis-13128	14	8	detection	detection	NOUN
fcis-13128	14	9	,	,	PUNCT
fcis-13128	14	10	and	and	CCONJ
fcis-13128	14	11	image	image	NOUN
fcis-13128	14	12	restoration	restoration	NOUN
fcis-13128	14	13	are	be	AUX
fcis-13128	14	14	some	some	DET
fcis-13128	14	15	attractive	attractive	ADJ
fcis-13128	14	16	application	application	NOUN
fcis-13128	14	17	directions	direction	NOUN
fcis-13128	14	18	,	,	PUNCT
fcis-13128	14	19	and	and	CCONJ
fcis-13128	14	20	the	the	DET
fcis-13128	14	21	combination	combination	NOUN
fcis-13128	14	22	of	of	ADP
fcis-13128	14	23	sam	sam	PROPN
fcis-13128	14	24	and	and	CCONJ
fcis-13128	14	25	them	they	PRON
fcis-13128	14	26	is	be	AUX
fcis-13128	14	27	intriguing	intriguing	ADJ
fcis-13128	14	28	.	.	PUNCT
fcis-13128	15	1	meanwhile	meanwhile	ADV
fcis-13128	15	2	,	,	PUNCT
fcis-13128	15	3	the	the	DET
fcis-13128	15	4	superior	superior	ADJ
fcis-13128	15	5	performance	performance	NOUN
fcis-13128	15	6	of	of	ADP
fcis-13128	15	7	sam	sam	PROPN
fcis-13128	15	8	is	be	AUX
fcis-13128	15	9	necessary	necessary	ADJ
fcis-13128	15	10	for	for	ADP
fcis-13128	15	11	discussions	discussion	NOUN
fcis-13128	15	12	in	in	ADP
fcis-13128	15	13	remote	remote	ADJ
fcis-13128	15	14	sensing	sensing	NOUN
fcis-13128	15	15	and	and	CCONJ
fcis-13128	15	16	medicine	medicine	NOUN
fcis-13128	15	17	.	.	PUNCT
fcis-13128	16	1	this	this	DET
fcis-13128	16	2	review	review	NOUN
fcis-13128	16	3	will	will	AUX
fcis-13128	16	4	delve	delve	VERB
fcis-13128	16	5	into	into	ADP
fcis-13128	16	6	the	the	DET
fcis-13128	16	7	potential	potential	NOUN
fcis-13128	16	8	of	of	ADP
fcis-13128	16	9	sam	sam	PROPN
fcis-13128	16	10	in	in	ADP
fcis-13128	16	11	these	these	DET
fcis-13128	16	12	derived	derive	VERB
fcis-13128	16	13	tasks	task	NOUN
fcis-13128	16	14	and	and	CCONJ
fcis-13128	16	15	real	real	ADJ
fcis-13128	16	16	-	-	PUNCT
fcis-13128	16	17	world	world	NOUN
fcis-13128	16	18	applications	application	NOUN
fcis-13128	16	19	,	,	PUNCT
fcis-13128	16	20	aiming	aim	VERB
fcis-13128	16	21	to	to	PART
fcis-13128	16	22	provide	provide	VERB
fcis-13128	16	23	insights	insight	NOUN
fcis-13128	16	24	and	and	CCONJ
fcis-13128	16	25	inspiration	inspiration	NOUN
fcis-13128	16	26	for	for	ADP
fcis-13128	16	27	researchers	researcher	NOUN
fcis-13128	16	28	in	in	ADP
fcis-13128	16	29	the	the	DET
fcis-13128	16	30	field	field	NOUN
fcis-13128	16	31	of	of	ADP
fcis-13128	16	32	computer	computer	NOUN
fcis-13128	16	33	vision	vision	NOUN
fcis-13128	16	34	.	.	PUNCT
fcis-13128	17	1	by	by	ADP
fcis-13128	17	2	introducing	introduce	VERB
fcis-13128	17	3	these	these	DET
fcis-13128	17	4	innovative	innovative	ADJ
fcis-13128	17	5	methods	method	NOUN
fcis-13128	17	6	,	,	PUNCT
fcis-13128	17	7	the	the	DET
fcis-13128	17	8	adaptability	adaptability	NOUN
fcis-13128	17	9	of	of	ADP
fcis-13128	17	10	sam	sam	PROPN
fcis-13128	17	11	models	model	NOUN
fcis-13128	17	12	in	in	ADP
fcis-13128	17	13	multiple	multiple	ADJ
fcis-13128	17	14	fields	field	NOUN
fcis-13128	17	15	and	and	CCONJ
fcis-13128	17	16	their	their	PRON
fcis-13128	17	17	potential	potential	ADJ
fcis-13128	17	18	value	value	NOUN
fcis-13128	17	19	in	in	ADP
fcis-13128	17	20	solving	solve	VERB
fcis-13128	17	21	specific	specific	ADJ
fcis-13128	17	22	tasks	task	NOUN
fcis-13128	17	23	will	will	AUX
fcis-13128	17	24	be	be	AUX
fcis-13128	17	25	elucidated	elucidate	VERB
fcis-13128	17	26	.	.	PUNCT
fcis-13128	18	1	2	2	X
fcis-13128	18	2	.	.	X
fcis-13128	18	3	potential	potential	ADJ
fcis-13128	18	4	derivative	derivative	ADJ
fcis-13128	18	5	tasks	task	NOUN
fcis-13128	18	6	2.1	2.1	NUM
fcis-13128	18	7	.	.	PUNCT
fcis-13128	19	1	image	image	NOUN
fcis-13128	19	2	segmentation	segmentation	NOUN
fcis-13128	19	3	2.1.1	2.1.1	NUM
fcis-13128	19	4	.	.	PUNCT
fcis-13128	20	1	using	use	VERB
fcis-13128	20	2	adapter	adapter	NOUN
fcis-13128	20	3	to	to	PART
fcis-13128	20	4	address	address	VERB
fcis-13128	20	5	poor	poor	ADJ
fcis-13128	20	6	performance	performance	NOUN
fcis-13128	20	7	of	of	ADP
fcis-13128	20	8	sam	sam	PROPN
fcis-13128	20	9	in	in	ADP
fcis-13128	20	10	specific	specific	ADJ
fcis-13128	20	11	scenarios	scenario	NOUN
fcis-13128	20	12	sam	sam	PROPN
fcis-13128	20	13	performs	perform	VERB
fcis-13128	20	14	well	well	ADV
fcis-13128	20	15	in	in	ADP
fcis-13128	20	16	general	general	ADJ
fcis-13128	20	17	segmentation	segmentation	NOUN
fcis-13128	20	18	but	but	CCONJ
fcis-13128	20	19	has	have	VERB
fcis-13128	20	20	limitations	limitation	NOUN
fcis-13128	20	21	in	in	ADP
fcis-13128	20	22	specific	specific	ADJ
fcis-13128	20	23	scenarios	scenario	NOUN
fcis-13128	20	24	such	such	ADJ
fcis-13128	20	25	as	as	ADP
fcis-13128	20	26	hidden	hide	VERB
fcis-13128	20	27	object	object	NOUN
fcis-13128	20	28	detection	detection	NOUN
fcis-13128	20	29	and	and	CCONJ
fcis-13128	20	30	shadow	shadow	NOUN
fcis-13128	20	31	detection	detection	NOUN
fcis-13128	20	32	.	.	PUNCT
fcis-13128	21	1	therefore	therefore	ADV
fcis-13128	21	2	,	,	PUNCT
fcis-13128	21	3	tianrun	tianrun	PROPN
fcis-13128	21	4	chen	chen	PROPN
fcis-13128	21	5	et	et	PROPN
fcis-13128	21	6	al	al	PROPN
fcis-13128	21	7	.	.	PROPN
fcis-13128	21	8	introduced	introduce	VERB
fcis-13128	21	9	the	the	DET
fcis-13128	21	10	sam	sam	PROPN
fcis-13128	21	11	-	-	PUNCT
fcis-13128	21	12	adapter	adapter	PROPN
fcis-13128	21	13	,	,	PUNCT
fcis-13128	21	14	which	which	PRON
fcis-13128	21	15	integrates	integrate	VERB
fcis-13128	21	16	domain	domain	VERB
fcis-13128	21	17	specific	specific	ADJ
fcis-13128	21	18	knowledge	knowledge	NOUN
fcis-13128	21	19	and	and	CCONJ
fcis-13128	21	20	visual	visual	ADJ
fcis-13128	21	21	cues	cue	NOUN
fcis-13128	21	22	into	into	ADP
fcis-13128	21	23	the	the	DET
fcis-13128	21	24	segmentation	segmentation	NOUN
fcis-13128	21	25	network	network	NOUN
fcis-13128	21	26	through	through	ADP
fcis-13128	21	27	effective	effective	ADJ
fcis-13128	21	28	adapters	adapter	NOUN
fcis-13128	21	29	.	.	PUNCT
fcis-13128	22	1	by	by	ADP
fcis-13128	22	2	combining	combine	VERB
fcis-13128	22	3	taskspecific	taskspecific	ADJ
fcis-13128	22	4	insights	insight	NOUN
fcis-13128	22	5	with	with	ADP
fcis-13128	22	6	the	the	DET
fcis-13128	22	7	foundational	foundational	ADJ
fcis-13128	22	8	knowledge	knowledge	NOUN
fcis-13128	22	9	gained	gain	VERB
fcis-13128	22	10	from	from	ADP
fcis-13128	22	11	sam	sam	PROPN
fcis-13128	22	12	,	,	PUNCT
fcis-13128	22	13	the	the	DET
fcis-13128	22	14	sam	sam	PROPN
fcis-13128	22	15	-	-	PUNCT
fcis-13128	22	16	adapter	adapter	PROPN
fcis-13128	22	17	significantly	significantly	ADV
fcis-13128	22	18	improves	improve	VERB
fcis-13128	22	19	performance	performance	NOUN
fcis-13128	22	20	in	in	ADP
fcis-13128	22	21	challenging	challenging	ADJ
fcis-13128	22	22	tasks	task	NOUN
fcis-13128	22	23	,	,	PUNCT
fcis-13128	22	24	which	which	PRON
fcis-13128	22	25	has	have	AUX
fcis-13128	22	26	been	be	AUX
fcis-13128	22	27	comprehensively	comprehensively	ADV
fcis-13128	22	28	experimentally	experimentally	ADV
fcis-13128	22	29	validated	validate	VERB
fcis-13128	22	30	.	.	PUNCT
fcis-13128	23	1	it	it	PRON
fcis-13128	23	2	is	be	AUX
fcis-13128	23	3	worth	worth	ADJ
fcis-13128	23	4	noting	note	VERB
fcis-13128	23	5	that	that	SCONJ
fcis-13128	23	6	sam	sam	PROPN
fcis-13128	23	7	-	-	PUNCT
fcis-13128	23	8	adapter	adapter	PROPN
fcis-13128	23	9	has	have	AUX
fcis-13128	23	10	surpassed	surpass	VERB
fcis-13128	23	11	task	task	NOUN
fcis-13128	23	12	specific	specific	ADJ
fcis-13128	23	13	network	network	NOUN
fcis-13128	23	14	models	model	NOUN
fcis-13128	23	15	in	in	ADP
fcis-13128	23	16	covert	covert	ADJ
fcis-13128	23	17	object	object	NOUN
fcis-13128	23	18	detection	detection	NOUN
fcis-13128	23	19	and	and	CCONJ
fcis-13128	23	20	shadow	shadow	NOUN
fcis-13128	23	21	detection	detection	NOUN
fcis-13128	23	22	,	,	PUNCT
fcis-13128	23	23	achieving	achieve	VERB
fcis-13128	23	24	the	the	DET
fcis-13128	23	25	latest	late	ADJ
fcis-13128	23	26	technological	technological	ADJ
fcis-13128	23	27	achievements	achievement	NOUN
fcis-13128	23	28	.	.	PUNCT
fcis-13128	24	1	in	in	ADP
fcis-13128	24	2	addition	addition	NOUN
fcis-13128	24	3	,	,	PUNCT
fcis-13128	24	4	this	this	DET
fcis-13128	24	5	method	method	NOUN
fcis-13128	24	6	also	also	ADV
fcis-13128	24	7	improves	improve	VERB
fcis-13128	24	8	the	the	DET
fcis-13128	24	9	performance	performance	NOUN
fcis-13128	24	10	of	of	ADP
fcis-13128	24	11	medical	medical	ADJ
fcis-13128	24	12	image	image	NOUN
fcis-13128	24	13	segmentation	segmentation	NOUN
fcis-13128	24	14	,	,	PUNCT
fcis-13128	24	15	such	such	ADJ
fcis-13128	24	16	as	as	ADP
fcis-13128	24	17	polyp	polyp	NOUN
fcis-13128	24	18	segmentation	segmentation	NOUN
fcis-13128	24	19	.	.	PUNCT
fcis-13128	25	1	this	this	DET
fcis-13128	25	2	groundbreaking	groundbreake	VERB
fcis-13128	25	3	work	work	NOUN
fcis-13128	25	4	reveals	reveal	VERB
fcis-13128	25	5	the	the	DET
fcis-13128	25	6	adaptability	adaptability	NOUN
fcis-13128	25	7	of	of	ADP
fcis-13128	25	8	sam	sam	PROPN
fcis-13128	25	9	in	in	ADP
fcis-13128	25	10	different	different	ADJ
fcis-13128	25	11	fields	field	NOUN
fcis-13128	25	12	,	,	PUNCT
fcis-13128	25	13	with	with	ADP
fcis-13128	25	14	excellent	excellent	ADJ
fcis-13128	25	15	accuracy	accuracy	NOUN
fcis-13128	25	16	.	.	PUNCT
fcis-13128	26	1	although	although	SCONJ
fcis-13128	26	2	evaluated	evaluate	VERB
fcis-13128	26	3	only	only	ADV
fcis-13128	26	4	on	on	ADP
fcis-13128	26	5	a	a	DET
fcis-13128	26	6	limited	limited	ADJ
fcis-13128	26	7	dataset	dataset	NOUN
fcis-13128	26	8	,	,	PUNCT
fcis-13128	26	9	sam	sam	PROPN
fcis-13128	26	10	-	-	PUNCT
fcis-13128	26	11	adapter	adapter	PROPN
fcis-13128	26	12	demonstrates	demonstrate	VERB
fcis-13128	26	13	the	the	DET
fcis-13128	26	14	potential	potential	NOUN
fcis-13128	26	15	to	to	PART
fcis-13128	26	16	become	become	VERB
fcis-13128	26	17	a	a	DET
fcis-13128	26	18	multifunctional	multifunctional	ADJ
fcis-13128	26	19	tool	tool	NOUN
fcis-13128	26	20	suitable	suitable	ADJ
fcis-13128	26	21	for	for	ADP
fcis-13128	26	22	various	various	ADJ
fcis-13128	26	23	downstream	downstream	ADJ
fcis-13128	26	24	segmentation	segmentation	NOUN
fcis-13128	26	25	tasks	task	NOUN
fcis-13128	26	26	,	,	PUNCT
fcis-13128	26	27	including	include	VERB
fcis-13128	26	28	fields	field	NOUN
fcis-13128	26	29	such	such	ADJ
fcis-13128	26	30	as	as	ADP
fcis-13128	26	31	medicine	medicine	NOUN
fcis-13128	26	32	and	and	CCONJ
fcis-13128	26	33	agriculture	agriculture	NOUN
fcis-13128	26	34	.	.	PUNCT
fcis-13128	27	1	this	this	DET
fcis-13128	27	2	study	study	NOUN
fcis-13128	27	3	is	be	AUX
fcis-13128	27	4	of	of	ADP
fcis-13128	27	5	milestone	milestone	NOUN
fcis-13128	27	6	significance	significance	NOUN
fcis-13128	27	7	in	in	ADP
fcis-13128	27	8	applying	apply	VERB
fcis-13128	27	9	large	large	ADJ
fcis-13128	27	10	-	-	PUNCT
fcis-13128	27	11	scale	scale	NOUN
fcis-13128	27	12	pre	pre	NOUN
fcis-13128	27	13	trained	train	VERB
fcis-13128	27	14	image	image	NOUN
fcis-13128	27	15	models	model	NOUN
fcis-13128	27	16	to	to	ADP
fcis-13128	27	17	a	a	DET
fcis-13128	27	18	wide	wide	ADJ
fcis-13128	27	19	range	range	NOUN
fcis-13128	27	20	of	of	ADP
fcis-13128	27	21	research	research	NOUN
fcis-13128	27	22	and	and	CCONJ
fcis-13128	27	23	industrial	industrial	ADJ
fcis-13128	27	24	applications	application	NOUN
fcis-13128	27	25	[	[	X
fcis-13128	27	26	2	2	NUM
fcis-13128	27	27	]	]	PUNCT
fcis-13128	27	28	.	.	PUNCT
fcis-13128	28	1	2.1.2	2.1.2	NUM
fcis-13128	28	2	.	.	X
fcis-13128	28	3	one	one	NUM
fcis-13128	28	4	shot	shot	NOUN
fcis-13128	28	5	for	for	ADP
fcis-13128	28	6	sam	sam	PROPN
fcis-13128	28	7	renrui	renrui	PROPN
fcis-13128	28	8	zhang	zhang	PROPN
fcis-13128	28	9	et	et	PROPN
fcis-13128	28	10	al	al	PROPN
fcis-13128	28	11	.	.	PROPN
fcis-13128	28	12	proposed	propose	VERB
fcis-13128	28	13	a	a	DET
fcis-13128	28	14	personalized	personalized	ADJ
fcis-13128	28	15	segmentation	segmentation	NOUN
fcis-13128	28	16	model	model	NOUN
fcis-13128	28	17	sam	sam	PROPN
fcis-13128	28	18	method	method	PROPN
fcis-13128	28	19	for	for	ADP
fcis-13128	28	20	specific	specific	ADJ
fcis-13128	28	21	visual	visual	ADJ
fcis-13128	28	22	concepts	concept	NOUN
fcis-13128	28	23	,	,	PUNCT
fcis-13128	28	24	called	call	VERB
fcis-13128	28	25	persam	persam	NOUN
fcis-13128	28	26	.	.	PUNCT
fcis-13128	29	1	the	the	DET
fcis-13128	29	2	study	study	NOUN
fcis-13128	29	3	achieved	achieve	VERB
fcis-13128	29	4	customization	customization	NOUN
fcis-13128	29	5	of	of	ADP
fcis-13128	29	6	sam	sam	PROPN
fcis-13128	29	7	through	through	ADP
fcis-13128	29	8	a	a	DET
fcis-13128	29	9	single	single	ADJ
fcis-13128	29	10	image	image	NOUN
fcis-13128	29	11	with	with	ADP
fcis-13128	29	12	a	a	DET
fcis-13128	29	13	reference	reference	NOUN
fcis-13128	29	14	mask	mask	NOUN
fcis-13128	29	15	,	,	PUNCT
fcis-13128	29	16	without	without	ADP
fcis-13128	29	17	the	the	DET
fcis-13128	29	18	need	need	NOUN
fcis-13128	29	19	for	for	ADP
fcis-13128	29	20	manual	manual	ADJ
fcis-13128	29	21	intervention	intervention	NOUN
fcis-13128	29	22	.	.	PUNCT
fcis-13128	30	1	persam	persam	PROPN
fcis-13128	30	2	determines	determine	VERB
fcis-13128	30	3	the	the	DET
fcis-13128	30	4	target	target	NOUN
fcis-13128	30	5	concept	concept	NOUN
fcis-13128	30	6	through	through	ADP
fcis-13128	30	7	prior	prior	ADJ
fcis-13128	30	8	localization	localization	NOUN
fcis-13128	30	9	and	and	CCONJ
fcis-13128	30	10	utilizes	utilize	VERB
fcis-13128	30	11	three	three	NUM
fcis-13128	30	12	techniques	technique	NOUN
fcis-13128	30	13	:	:	PUNCT
fcis-13128	30	14	target	target	NOUN
fcis-13128	30	15	guided	guide	VERB
fcis-13128	30	16	attention	attention	NOUN
fcis-13128	30	17	,	,	PUNCT
fcis-13128	30	18	target	target	VERB
fcis-13128	30	19	semantic	semantic	ADJ
fcis-13128	30	20	guidance	guidance	NOUN
fcis-13128	30	21	,	,	PUNCT
fcis-13128	30	22	and	and	CCONJ
fcis-13128	30	23	cascading	cascade	VERB
fcis-13128	30	24	post	post	NOUN
fcis-13128	30	25	-	-	ADJ
fcis-13128	30	26	processing	processing	NOUN
fcis-13128	30	27	to	to	PART
fcis-13128	30	28	segment	segment	VERB
fcis-13128	30	29	other	other	ADJ
fcis-13128	30	30	images	image	NOUN
fcis-13128	30	31	or	or	CCONJ
fcis-13128	30	32	videos	video	NOUN
fcis-13128	30	33	.	.	PUNCT
fcis-13128	31	1	in	in	ADP
fcis-13128	31	2	addition	addition	NOUN
fcis-13128	31	3	,	,	PUNCT
fcis-13128	31	4	the	the	DET
fcis-13128	31	5	study	study	NOUN
fcis-13128	31	6	also	also	ADV
fcis-13128	31	7	introduced	introduce	VERB
fcis-13128	31	8	persam	persam	ADJ
fcis-13128	31	9	-	-	PUNCT
fcis-13128	31	10	f	f	NOUN
fcis-13128	31	11	,	,	PUNCT
fcis-13128	31	12	an	an	DET
fcis-13128	31	13	efficient	efficient	ADJ
fcis-13128	31	14	one	one	NUM
fcis-13128	31	15	-	-	PUNCT
fcis-13128	31	16	time	time	NOUN
fcis-13128	31	17	fine	fine	ADV
fcis-13128	31	18	-	-	PUNCT
fcis-13128	31	19	tuning	tune	VERB
fcis-13128	31	20	variant	variant	NOUN
fcis-13128	31	21	.	.	PUNCT
fcis-13128	32	1	by	by	ADP
fcis-13128	32	2	freezing	freeze	VERB
fcis-13128	32	3	the	the	DET
fcis-13128	32	4	entire	entire	ADJ
fcis-13128	32	5	sam	sam	PROPN
fcis-13128	32	6	structure	structure	NOUN
fcis-13128	32	7	,	,	PUNCT
fcis-13128	32	8	persam	persam	PROPN
fcis-13128	32	9	-	-	PUNCT
fcis-13128	32	10	f	f	NOUN
fcis-13128	32	11	only	only	ADV
fcis-13128	32	12	uses	use	VERB
fcis-13128	32	13	two	two	NUM
fcis-13128	32	14	learnable	learnable	ADJ
fcis-13128	32	15	weights	weight	NOUN
fcis-13128	32	16	to	to	PART
fcis-13128	32	17	handle	handle	VERB
fcis-13128	32	18	multi	multi	ADJ
fcis-13128	32	19	-	-	ADJ
fcis-13128	32	20	scale	scale	ADJ
fcis-13128	32	21	masks	mask	NOUN
fcis-13128	32	22	,	,	PUNCT
fcis-13128	32	23	completing	complete	VERB
fcis-13128	32	24	training	training	NOUN
fcis-13128	32	25	within	within	ADP
fcis-13128	32	26	10	10	NUM
fcis-13128	32	27	seconds	second	NOUN
fcis-13128	32	28	,	,	PUNCT
fcis-13128	32	29	thereby	thereby	ADV
fcis-13128	32	30	achieving	achieve	VERB
fcis-13128	32	31	performance	performance	NOUN
fcis-13128	32	32	improvement	improvement	NOUN
fcis-13128	32	33	.	.	PUNCT
fcis-13128	33	1	the	the	DET
fcis-13128	33	2	study	study	NOUN
fcis-13128	33	3	validated	validate	VERB
fcis-13128	33	4	the	the	DET
fcis-13128	33	5	effectiveness	effectiveness	NOUN
fcis-13128	33	6	of	of	ADP
fcis-13128	33	7	the	the	DET
fcis-13128	33	8	method	method	NOUN
fcis-13128	33	9	on	on	ADP
fcis-13128	33	10	the	the	DET
fcis-13128	33	11	annotated	annotate	VERB
fcis-13128	33	12	personalized	personalized	ADJ
fcis-13128	33	13	evaluation	evaluation	NOUN
fcis-13128	33	14	dataset	dataset	NOUN
fcis-13128	33	15	perseg	perseg	ADJ
fcis-13128	33	16	and	and	CCONJ
fcis-13128	33	17	achieved	achieve	VERB
fcis-13128	33	18	competitive	competitive	ADJ
fcis-13128	33	19	performance	performance	NOUN
fcis-13128	33	20	in	in	ADP
fcis-13128	33	21	video	video	NOUN
fcis-13128	33	22	object	object	NOUN
fcis-13128	33	23	segmentation	segmentation	NOUN
fcis-13128	33	24	.	.	PUNCT
fcis-13128	34	1	in	in	ADP
fcis-13128	34	2	addition	addition	NOUN
fcis-13128	34	3	,	,	PUNCT
fcis-13128	34	4	this	this	DET
fcis-13128	34	5	method	method	NOUN
fcis-13128	34	6	can	can	AUX
fcis-13128	34	7	also	also	ADV
fcis-13128	34	8	enhance	enhance	VERB
fcis-13128	34	9	dreambooth	dreambooth	NOUN
fcis-13128	34	10	for	for	ADP
fcis-13128	34	11	personalized	personalized	ADJ
fcis-13128	34	12	and	and	CCONJ
fcis-13128	34	13	stable	stable	ADJ
fcis-13128	34	14	diffusion	diffusion	NOUN
fcis-13128	34	15	of	of	ADP
fcis-13128	34	16	text	text	NOUN
fcis-13128	34	17	to	to	ADP
fcis-13128	34	18	image	image	NOUN
fcis-13128	34	19	generation	generation	NOUN
fcis-13128	34	20	,	,	PUNCT
fcis-13128	34	21	reducing	reduce	VERB
fcis-13128	34	22	background	background	NOUN
fcis-13128	34	23	interference	interference	NOUN
fcis-13128	34	24	and	and	CCONJ
fcis-13128	34	25	improving	improve	VERB
fcis-13128	34	26	target	target	NOUN
fcis-13128	34	27	appearance	appearance	NOUN
fcis-13128	34	28	learning	learning	NOUN
fcis-13128	34	29	.	.	PUNCT
fcis-13128	35	1	on	on	ADP
fcis-13128	35	2	the	the	DET
fcis-13128	35	3	other	other	ADJ
fcis-13128	35	4	hand	hand	NOUN
fcis-13128	35	5	,	,	PUNCT
fcis-13128	35	6	this	this	DET
fcis-13128	35	7	study	study	NOUN
fcis-13128	35	8	can	can	AUX
fcis-13128	35	9	also	also	ADV
fcis-13128	35	10	inspire	inspire	VERB
fcis-13128	35	11	future	future	ADJ
fcis-13128	35	12	use	use	NOUN
fcis-13128	35	13	of	of	ADP
fcis-13128	35	14	parameter	parameter	NOUN
fcis-13128	35	15	efficient	efficient	ADJ
fcis-13128	35	16	117	117	NUM
fcis-13128	35	17	methods	method	NOUN
fcis-13128	35	18	to	to	PART
fcis-13128	35	19	personalize	personalize	VERB
fcis-13128	35	20	basic	basic	ADJ
fcis-13128	35	21	segmentation	segmentation	NOUN
fcis-13128	35	22	models	model	NOUN
fcis-13128	35	23	[	[	X
fcis-13128	35	24	3	3	NUM
fcis-13128	35	25	]	]	PUNCT
fcis-13128	35	26	.	.	PUNCT
fcis-13128	36	1	2.1.3	2.1.3	NUM
fcis-13128	36	2	.	.	PUNCT
fcis-13128	37	1	an	an	DET
fcis-13128	37	2	innovative	innovative	ADJ
fcis-13128	37	3	method	method	NOUN
fcis-13128	37	4	for	for	ADP
fcis-13128	37	5	audio	audio	ADJ
fcis-13128	37	6	visual	visual	ADJ
fcis-13128	37	7	joint	joint	ADJ
fcis-13128	37	8	localization	localization	NOUN
fcis-13128	37	9	and	and	CCONJ
fcis-13128	37	10	segmentation	segmentation	NOUN
fcis-13128	37	11	shentong	shentong	PROPN
fcis-13128	37	12	mo	mo	PROPN
fcis-13128	37	13	and	and	CCONJ
fcis-13128	37	14	yapeng	yapeng	PROPN
fcis-13128	37	15	tian	tian	PROPN
fcis-13128	37	16	proposed	propose	VERB
fcis-13128	37	17	"	"	PUNCT
fcis-13128	37	18	av	av	PROPN
fcis-13128	37	19	sam	sam	PROPN
fcis-13128	37	20	:	:	PUNCT
fcis-13128	37	21	segment	segment	NOUN
fcis-13128	37	22	anything	anything	PRON
fcis-13128	37	23	model	model	NOUN
fcis-13128	37	24	meets	meet	VERB
fcis-13128	37	25	audio	audio	ADJ
fcis-13128	37	26	visual	visual	ADJ
fcis-13128	37	27	localization	localization	NOUN
fcis-13128	37	28	and	and	CCONJ
fcis-13128	37	29	segmentation	segmentation	NOUN
fcis-13128	37	30	"	"	PUNCT
fcis-13128	37	31	and	and	CCONJ
fcis-13128	37	32	explored	explore	VERB
fcis-13128	37	33	a	a	DET
fcis-13128	37	34	new	new	ADJ
fcis-13128	37	35	method	method	NOUN
fcis-13128	37	36	for	for	ADP
fcis-13128	37	37	applying	apply	VERB
fcis-13128	37	38	deep	deep	ADJ
fcis-13128	37	39	learning	learning	NOUN
fcis-13128	37	40	model	model	NOUN
fcis-13128	37	41	sam	sam	PROPN
fcis-13128	37	42	in	in	ADP
fcis-13128	37	43	audio	audio	ADJ
fcis-13128	37	44	visual	visual	ADJ
fcis-13128	37	45	tasks	task	NOUN
fcis-13128	37	46	.	.	PUNCT
fcis-13128	38	1	they	they	PRON
fcis-13128	38	2	focus	focus	VERB
fcis-13128	38	3	on	on	ADP
fcis-13128	38	4	the	the	DET
fcis-13128	38	5	correlation	correlation	NOUN
fcis-13128	38	6	between	between	ADP
fcis-13128	38	7	audio	audio	NOUN
fcis-13128	38	8	and	and	CCONJ
fcis-13128	38	9	vision	vision	NOUN
fcis-13128	38	10	,	,	PUNCT
fcis-13128	38	11	especially	especially	ADV
fcis-13128	38	12	the	the	DET
fcis-13128	38	13	correlation	correlation	NOUN
fcis-13128	38	14	between	between	ADP
fcis-13128	38	15	audio	audio	ADJ
fcis-13128	38	16	signals	signal	NOUN
fcis-13128	38	17	and	and	CCONJ
fcis-13128	38	18	visual	visual	ADJ
fcis-13128	38	19	objects	object	NOUN
fcis-13128	38	20	,	,	PUNCT
fcis-13128	38	21	and	and	CCONJ
fcis-13128	38	22	propose	propose	VERB
fcis-13128	38	23	a	a	DET
fcis-13128	38	24	solution	solution	NOUN
fcis-13128	38	25	for	for	ADP
fcis-13128	38	26	audio	audio	ADJ
fcis-13128	38	27	visual	visual	ADJ
fcis-13128	38	28	joint	joint	ADJ
fcis-13128	38	29	learning	learning	NOUN
fcis-13128	38	30	.	.	PUNCT
fcis-13128	39	1	the	the	DET
fcis-13128	39	2	avsam	avsam	NOUN
fcis-13128	39	3	framework	framework	NOUN
fcis-13128	39	4	was	be	AUX
fcis-13128	39	5	introduced	introduce	VERB
fcis-13128	39	6	in	in	ADP
fcis-13128	39	7	the	the	DET
fcis-13128	39	8	study	study	NOUN
fcis-13128	39	9	,	,	PUNCT
fcis-13128	39	10	extending	extend	VERB
fcis-13128	39	11	the	the	DET
fcis-13128	39	12	functionality	functionality	NOUN
fcis-13128	39	13	of	of	ADP
fcis-13128	39	14	the	the	DET
fcis-13128	39	15	sam	sam	PROPN
fcis-13128	39	16	model	model	NOUN
fcis-13128	39	17	to	to	ADP
fcis-13128	39	18	the	the	DET
fcis-13128	39	19	audio	audio	ADJ
fcis-13128	39	20	-	-	ADJ
fcis-13128	39	21	visual	visual	ADJ
fcis-13128	39	22	field	field	NOUN
fcis-13128	39	23	.	.	PUNCT
fcis-13128	40	1	its	its	PRON
fcis-13128	40	2	core	core	ADJ
fcis-13128	40	3	idea	idea	NOUN
fcis-13128	40	4	is	be	AUX
fcis-13128	40	5	to	to	PART
fcis-13128	40	6	achieve	achieve	VERB
fcis-13128	40	7	the	the	DET
fcis-13128	40	8	localization	localization	NOUN
fcis-13128	40	9	and	and	CCONJ
fcis-13128	40	10	segmentation	segmentation	NOUN
fcis-13128	40	11	of	of	ADP
fcis-13128	40	12	sound	sound	ADJ
fcis-13128	40	13	objects	object	NOUN
fcis-13128	40	14	by	by	ADP
fcis-13128	40	15	integrating	integrate	VERB
fcis-13128	40	16	audio	audio	ADJ
fcis-13128	40	17	and	and	CCONJ
fcis-13128	40	18	visual	visual	ADJ
fcis-13128	40	19	information	information	NOUN
fcis-13128	40	20	.	.	PUNCT
fcis-13128	41	1	researchers	researcher	NOUN
fcis-13128	41	2	use	use	VERB
fcis-13128	41	3	pre	pre	ADJ
fcis-13128	41	4	trained	train	VERB
fcis-13128	41	5	visual	visual	ADJ
fcis-13128	41	6	and	and	CCONJ
fcis-13128	41	7	audio	audio	NOUN
fcis-13128	41	8	features	feature	NOUN
fcis-13128	41	9	to	to	PART
fcis-13128	41	10	aggregate	aggregate	VERB
fcis-13128	41	11	cross	cross	NOUN
fcis-13128	41	12	modal	modal	ADJ
fcis-13128	41	13	representations	representation	NOUN
fcis-13128	41	14	through	through	ADP
fcis-13128	41	15	pixel	pixel	NOUN
fcis-13128	41	16	level	level	NOUN
fcis-13128	41	17	fusion	fusion	NOUN
fcis-13128	41	18	methods	method	NOUN
fcis-13128	41	19	.	.	PUNCT
fcis-13128	42	1	these	these	DET
fcis-13128	42	2	features	feature	NOUN
fcis-13128	42	3	are	be	AUX
fcis-13128	42	4	used	use	VERB
fcis-13128	42	5	to	to	PART
fcis-13128	42	6	prompt	prompt	VERB
fcis-13128	42	7	the	the	DET
fcis-13128	42	8	encoder	encoder	NOUN
fcis-13128	42	9	and	and	CCONJ
fcis-13128	42	10	mask	mask	NOUN
fcis-13128	42	11	decoder	decoder	NOUN
fcis-13128	42	12	,	,	PUNCT
fcis-13128	42	13	generate	generate	VERB
fcis-13128	42	14	audio	audio	ADJ
fcis-13128	42	15	visual	visual	ADJ
fcis-13128	42	16	segmentation	segmentation	NOUN
fcis-13128	42	17	masks	mask	NOUN
fcis-13128	42	18	,	,	PUNCT
fcis-13128	42	19	and	and	CCONJ
fcis-13128	42	20	achieve	achieve	VERB
fcis-13128	42	21	joint	joint	ADJ
fcis-13128	42	22	localization	localization	NOUN
fcis-13128	42	23	and	and	CCONJ
fcis-13128	42	24	segmentation	segmentation	NOUN
fcis-13128	42	25	.	.	PUNCT
fcis-13128	43	1	the	the	DET
fcis-13128	43	2	effectiveness	effectiveness	NOUN
fcis-13128	43	3	of	of	ADP
fcis-13128	43	4	av	av	PROPN
fcis-13128	43	5	-	-	PUNCT
fcis-13128	43	6	sam	sam	PROPN
fcis-13128	43	7	was	be	AUX
fcis-13128	43	8	validated	validate	VERB
fcis-13128	43	9	through	through	ADP
fcis-13128	43	10	experiments	experiment	NOUN
fcis-13128	43	11	on	on	ADP
fcis-13128	43	12	flickrsoundnet	flickrsoundnet	ADJ
fcis-13128	43	13	and	and	CCONJ
fcis-13128	43	14	avsbench	avsbench	NOUN
fcis-13128	43	15	datasets	dataset	NOUN
fcis-13128	43	16	.	.	PUNCT
fcis-13128	44	1	the	the	DET
fcis-13128	44	2	results	result	NOUN
fcis-13128	44	3	show	show	VERB
fcis-13128	44	4	that	that	SCONJ
fcis-13128	44	5	av	av	PROPN
fcis-13128	44	6	-	-	PUNCT
fcis-13128	44	7	sam	sam	PROPN
fcis-13128	44	8	performs	perform	VERB
fcis-13128	44	9	well	well	ADV
fcis-13128	44	10	in	in	ADP
fcis-13128	44	11	sound	sound	ADJ
fcis-13128	44	12	object	object	NOUN
fcis-13128	44	13	localization	localization	NOUN
fcis-13128	44	14	and	and	CCONJ
fcis-13128	44	15	segmentation	segmentation	NOUN
fcis-13128	44	16	tasks	task	NOUN
fcis-13128	44	17	,	,	PUNCT
fcis-13128	44	18	and	and	CCONJ
fcis-13128	44	19	is	be	AUX
fcis-13128	44	20	also	also	ADV
fcis-13128	44	21	competitive	competitive	ADJ
fcis-13128	44	22	in	in	ADP
fcis-13128	44	23	audio	audio	ADJ
fcis-13128	44	24	visual	visual	ADJ
fcis-13128	44	25	tasks	task	NOUN
fcis-13128	44	26	compared	compare	VERB
fcis-13128	44	27	to	to	ADP
fcis-13128	44	28	sam	sam	PROPN
fcis-13128	44	29	.	.	PUNCT
fcis-13128	45	1	they	they	PRON
fcis-13128	45	2	also	also	ADV
fcis-13128	45	3	explored	explore	VERB
fcis-13128	45	4	the	the	DET
fcis-13128	45	5	challenges	challenge	NOUN
fcis-13128	45	6	of	of	ADP
fcis-13128	45	7	audio	audio	ADJ
fcis-13128	45	8	-	-	ADJ
fcis-13128	45	9	visual	visual	ADJ
fcis-13128	45	10	localization	localization	NOUN
fcis-13128	45	11	and	and	CCONJ
fcis-13128	45	12	segmentation	segmentation	NOUN
fcis-13128	45	13	tasks	task	NOUN
fcis-13128	45	14	,	,	PUNCT
fcis-13128	45	15	emphasizing	emphasize	VERB
fcis-13128	45	16	the	the	DET
fcis-13128	45	17	misalignment	misalignment	NOUN
fcis-13128	45	18	between	between	ADP
fcis-13128	45	19	audio	audio	ADJ
fcis-13128	45	20	signals	signal	NOUN
fcis-13128	45	21	and	and	CCONJ
fcis-13128	45	22	objects	object	NOUN
fcis-13128	45	23	in	in	ADP
fcis-13128	45	24	the	the	DET
fcis-13128	45	25	video	video	NOUN
fcis-13128	45	26	.	.	PUNCT
fcis-13128	46	1	to	to	PART
fcis-13128	46	2	address	address	VERB
fcis-13128	46	3	this	this	DET
fcis-13128	46	4	challenge	challenge	NOUN
fcis-13128	46	5	,	,	PUNCT
fcis-13128	46	6	av	av	PROPN
fcis-13128	46	7	-	-	PUNCT
fcis-13128	46	8	sam	sam	PROPN
fcis-13128	46	9	adopts	adopt	VERB
fcis-13128	46	10	pixel	pixel	PROPN
fcis-13128	46	11	level	level	NOUN
fcis-13128	46	12	audio	audio	ADJ
fcis-13128	46	13	visual	visual	ADJ
fcis-13128	46	14	fusion	fusion	NOUN
fcis-13128	46	15	to	to	PART
fcis-13128	46	16	learn	learn	VERB
fcis-13128	46	17	visual	visual	ADJ
fcis-13128	46	18	features	feature	NOUN
fcis-13128	46	19	of	of	ADP
fcis-13128	46	20	audio	audio	ADJ
fcis-13128	46	21	alignment	alignment	NOUN
fcis-13128	46	22	from	from	ADP
fcis-13128	46	23	videos	video	NOUN
fcis-13128	46	24	to	to	PART
fcis-13128	46	25	better	well	ADV
fcis-13128	46	26	guide	guide	VERB
fcis-13128	46	27	segmentation	segmentation	NOUN
fcis-13128	46	28	tasks	task	NOUN
fcis-13128	46	29	.	.	PUNCT
fcis-13128	47	1	av	av	PROPN
fcis-13128	47	2	-	-	PUNCT
fcis-13128	47	3	sam	sam	PROPN
fcis-13128	47	4	provides	provide	VERB
fcis-13128	47	5	an	an	DET
fcis-13128	47	6	innovative	innovative	ADJ
fcis-13128	47	7	method	method	NOUN
fcis-13128	47	8	for	for	ADP
fcis-13128	47	9	audio	audio	ADJ
fcis-13128	47	10	visual	visual	ADJ
fcis-13128	47	11	joint	joint	ADJ
fcis-13128	47	12	tasks	task	NOUN
fcis-13128	47	13	,	,	PUNCT
fcis-13128	47	14	achieving	achieve	VERB
fcis-13128	47	15	satisfactory	satisfactory	ADJ
fcis-13128	47	16	results	result	NOUN
fcis-13128	47	17	[	[	X
fcis-13128	47	18	4	4	NUM
fcis-13128	47	19	]	]	PUNCT
fcis-13128	47	20	.	.	PUNCT
fcis-13128	48	1	2.1.4	2.1.4	X
fcis-13128	48	2	.	.	PUNCT
fcis-13128	48	3	semantic	semantic	ADJ
fcis-13128	48	4	segmentation	segmentation	NOUN
fcis-13128	48	5	in	in	ADP
fcis-13128	48	6	sam	sam	PROPN
fcis-13128	48	7	in	in	ADP
fcis-13128	48	8	the	the	DET
fcis-13128	48	9	study	study	NOUN
fcis-13128	48	10	by	by	ADP
fcis-13128	48	11	authors	author	NOUN
fcis-13128	48	12	such	such	ADJ
fcis-13128	48	13	as	as	ADP
fcis-13128	48	14	shehbaz	shehbaz	PROPN
fcis-13128	48	15	tariq	tariq	NOUN
fcis-13128	48	16	,	,	PUNCT
fcis-13128	48	17	the	the	DET
fcis-13128	48	18	impact	impact	NOUN
fcis-13128	48	19	of	of	ADP
fcis-13128	48	20	image	image	NOUN
fcis-13128	48	21	segmentation	segmentation	NOUN
fcis-13128	48	22	on	on	ADP
fcis-13128	48	23	the	the	DET
fcis-13128	48	24	training	training	NOUN
fcis-13128	48	25	of	of	ADP
fcis-13128	48	26	semantic	semantic	ADJ
fcis-13128	48	27	encoding	encoding	NOUN
fcis-13128	48	28	models	model	NOUN
fcis-13128	48	29	was	be	AUX
fcis-13128	48	30	explored	explore	VERB
fcis-13128	48	31	.	.	PUNCT
fcis-13128	49	1	a	a	DET
fcis-13128	49	2	practical	practical	ADJ
fcis-13128	49	3	image	image	NOUN
fcis-13128	49	4	segmentation	segmentation	NOUN
fcis-13128	49	5	method	method	NOUN
fcis-13128	49	6	is	be	AUX
fcis-13128	49	7	proposed	propose	VERB
fcis-13128	49	8	by	by	ADP
fcis-13128	49	9	using	use	VERB
fcis-13128	49	10	the	the	DET
fcis-13128	49	11	segment	segment	NOUN
fcis-13128	49	12	anything	anything	PRON
fcis-13128	49	13	model	model	NOUN
fcis-13128	49	14	(	(	PUNCT
fcis-13128	49	15	sam	sam	PROPN
fcis-13128	49	16	)	)	PUNCT
fcis-13128	49	17	as	as	ADP
fcis-13128	49	18	the	the	DET
fcis-13128	49	19	basic	basic	ADJ
fcis-13128	49	20	model	model	NOUN
fcis-13128	49	21	.	.	PUNCT
fcis-13128	50	1	this	this	DET
fcis-13128	50	2	method	method	NOUN
fcis-13128	50	3	does	do	AUX
fcis-13128	50	4	not	not	PART
fcis-13128	50	5	require	require	VERB
fcis-13128	50	6	expert	expert	ADJ
fcis-13128	50	7	data	datum	NOUN
fcis-13128	50	8	annotation	annotation	NOUN
fcis-13128	50	9	and	and	CCONJ
fcis-13128	50	10	only	only	ADV
fcis-13128	50	11	requires	require	VERB
fcis-13128	50	12	a	a	DET
fcis-13128	50	13	simple	simple	ADJ
fcis-13128	50	14	prompt	prompt	NOUN
fcis-13128	50	15	to	to	PART
fcis-13128	50	16	segment	segment	VERB
fcis-13128	50	17	the	the	DET
fcis-13128	50	18	region	region	NOUN
fcis-13128	50	19	of	of	ADP
fcis-13128	50	20	interest	interest	NOUN
fcis-13128	50	21	.	.	PUNCT
fcis-13128	51	1	the	the	DET
fcis-13128	51	2	research	research	NOUN
fcis-13128	51	3	results	result	NOUN
fcis-13128	51	4	indicate	indicate	VERB
fcis-13128	51	5	that	that	SCONJ
fcis-13128	51	6	this	this	DET
fcis-13128	51	7	method	method	NOUN
fcis-13128	51	8	can	can	AUX
fcis-13128	51	9	improve	improve	VERB
fcis-13128	51	10	image	image	NOUN
fcis-13128	51	11	restoration	restoration	NOUN
fcis-13128	51	12	performance	performance	NOUN
fcis-13128	51	13	in	in	ADP
fcis-13128	51	14	noisy	noisy	ADJ
fcis-13128	51	15	communication	communication	NOUN
fcis-13128	51	16	channels	channel	NOUN
fcis-13128	51	17	.	.	PUNCT
fcis-13128	52	1	although	although	SCONJ
fcis-13128	52	2	this	this	DET
fcis-13128	52	3	study	study	NOUN
fcis-13128	52	4	mainly	mainly	ADV
fcis-13128	52	5	focuses	focus	VERB
fcis-13128	52	6	on	on	ADP
fcis-13128	52	7	image	image	NOUN
fcis-13128	52	8	restoration	restoration	NOUN
fcis-13128	52	9	,	,	PUNCT
fcis-13128	52	10	namely	namely	ADV
fcis-13128	52	11	the	the	DET
fcis-13128	52	12	impact	impact	NOUN
fcis-13128	52	13	of	of	ADP
fcis-13128	52	14	segmentation	segmentation	NOUN
fcis-13128	52	15	in	in	ADP
fcis-13128	52	16	semantic	semantic	ADJ
fcis-13128	52	17	encoding	encoding	NOUN
fcis-13128	52	18	models	model	NOUN
fcis-13128	52	19	,	,	PUNCT
fcis-13128	52	20	future	future	ADJ
fcis-13128	52	21	research	research	NOUN
fcis-13128	52	22	can	can	AUX
fcis-13128	52	23	further	far	ADV
fcis-13128	52	24	explore	explore	VERB
fcis-13128	52	25	its	its	PRON
fcis-13128	52	26	role	role	NOUN
fcis-13128	52	27	in	in	ADP
fcis-13128	52	28	task	task	NOUN
fcis-13128	52	29	completion	completion	NOUN
fcis-13128	52	30	ability	ability	NOUN
fcis-13128	52	31	.	.	PUNCT
fcis-13128	53	1	on	on	ADP
fcis-13128	53	2	the	the	DET
fcis-13128	53	3	other	other	ADJ
fcis-13128	53	4	hand	hand	NOUN
fcis-13128	53	5	,	,	PUNCT
fcis-13128	53	6	basic	basic	ADJ
fcis-13128	53	7	models	model	NOUN
fcis-13128	53	8	such	such	ADJ
fcis-13128	53	9	as	as	ADP
fcis-13128	53	10	bert	bert	PROPN
fcis-13128	53	11	and	and	CCONJ
fcis-13128	53	12	gpt	gpt	NOUN
fcis-13128	53	13	have	have	VERB
fcis-13128	53	14	extensive	extensive	ADJ
fcis-13128	53	15	generalization	generalization	NOUN
fcis-13128	53	16	capabilities	capability	NOUN
fcis-13128	53	17	on	on	ADP
fcis-13128	53	18	multimodal	multimodal	ADJ
fcis-13128	53	19	data	datum	NOUN
fcis-13128	53	20	through	through	ADP
fcis-13128	53	21	selfsupervised	selfsupervise	VERB
fcis-13128	53	22	learning	learning	NOUN
fcis-13128	53	23	.	.	PUNCT
fcis-13128	54	1	on	on	ADP
fcis-13128	54	2	this	this	DET
fcis-13128	54	3	basis	basis	NOUN
fcis-13128	54	4	,	,	PUNCT
fcis-13128	54	5	this	this	DET
fcis-13128	54	6	study	study	NOUN
fcis-13128	54	7	explores	explore	VERB
fcis-13128	54	8	the	the	DET
fcis-13128	54	9	application	application	NOUN
fcis-13128	54	10	of	of	ADP
fcis-13128	54	11	sam	sam	PROPN
fcis-13128	54	12	as	as	ADP
fcis-13128	54	13	a	a	DET
fcis-13128	54	14	suggestive	suggestive	ADJ
fcis-13128	54	15	image	image	NOUN
fcis-13128	54	16	segmentation	segmentation	NOUN
fcis-13128	54	17	model	model	NOUN
fcis-13128	54	18	that	that	PRON
fcis-13128	54	19	can	can	AUX
fcis-13128	54	20	perform	perform	VERB
fcis-13128	54	21	zero	zero	NUM
fcis-13128	54	22	sample	sample	NOUN
fcis-13128	54	23	segmentation	segmentation	NOUN
fcis-13128	54	24	tasks	task	NOUN
fcis-13128	54	25	without	without	ADP
fcis-13128	54	26	explicit	explicit	ADJ
fcis-13128	54	27	training	training	NOUN
fcis-13128	54	28	.	.	PUNCT
fcis-13128	55	1	by	by	ADP
fcis-13128	55	2	fully	fully	ADV
fcis-13128	55	3	utilizing	utilize	VERB
fcis-13128	55	4	the	the	DET
fcis-13128	55	5	segmentation	segmentation	NOUN
fcis-13128	55	6	ability	ability	NOUN
fcis-13128	55	7	of	of	ADP
fcis-13128	55	8	sam	sam	PROPN
fcis-13128	55	9	,	,	PUNCT
fcis-13128	55	10	this	this	DET
fcis-13128	55	11	study	study	NOUN
fcis-13128	55	12	proposes	propose	VERB
fcis-13128	55	13	a	a	DET
fcis-13128	55	14	practical	practical	ADJ
fcis-13128	55	15	method	method	NOUN
fcis-13128	55	16	for	for	ADP
fcis-13128	55	17	image	image	NOUN
fcis-13128	55	18	transmission	transmission	NOUN
fcis-13128	55	19	,	,	PUNCT
fcis-13128	55	20	which	which	PRON
fcis-13128	55	21	adopts	adopt	VERB
fcis-13128	55	22	a	a	DET
fcis-13128	55	23	lightweight	lightweight	ADJ
fcis-13128	55	24	neural	neural	ADJ
fcis-13128	55	25	network	network	NOUN
fcis-13128	55	26	architecture	architecture	NOUN
fcis-13128	55	27	in	in	ADP
fcis-13128	55	28	source	source	NOUN
fcis-13128	55	29	signal	signal	NOUN
fcis-13128	55	30	and	and	CCONJ
fcis-13128	55	31	channel	channel	NOUN
fcis-13128	55	32	encoding	encoding	NOUN
fcis-13128	55	33	and	and	CCONJ
fcis-13128	55	34	decoding	decoding	NOUN
fcis-13128	55	35	,	,	PUNCT
fcis-13128	55	36	significantly	significantly	ADV
fcis-13128	55	37	reducing	reduce	VERB
fcis-13128	55	38	communication	communication	NOUN
fcis-13128	55	39	overhead	overhead	ADV
fcis-13128	55	40	while	while	SCONJ
fcis-13128	55	41	preserving	preserve	VERB
fcis-13128	55	42	higher	high	ADJ
fcis-13128	55	43	image	image	NOUN
fcis-13128	55	44	quality	quality	NOUN
fcis-13128	55	45	.	.	PUNCT
fcis-13128	56	1	the	the	DET
fcis-13128	56	2	author	author	NOUN
fcis-13128	56	3	believes	believe	VERB
fcis-13128	56	4	that	that	SCONJ
fcis-13128	56	5	this	this	DET
fcis-13128	56	6	method	method	NOUN
fcis-13128	56	7	has	have	VERB
fcis-13128	56	8	potential	potential	ADJ
fcis-13128	56	9	value	value	NOUN
fcis-13128	56	10	in	in	ADP
fcis-13128	56	11	practical	practical	ADJ
fcis-13128	56	12	applications	application	NOUN
fcis-13128	56	13	as	as	SCONJ
fcis-13128	56	14	it	it	PRON
fcis-13128	56	15	not	not	PART
fcis-13128	56	16	only	only	ADV
fcis-13128	56	17	eliminates	eliminate	VERB
fcis-13128	56	18	the	the	DET
fcis-13128	56	19	need	need	NOUN
fcis-13128	56	20	for	for	ADP
fcis-13128	56	21	segmentation	segmentation	NOUN
fcis-13128	56	22	model	model	NOUN
fcis-13128	56	23	training	training	NOUN
fcis-13128	56	24	,	,	PUNCT
fcis-13128	56	25	but	but	CCONJ
fcis-13128	56	26	also	also	ADV
fcis-13128	56	27	applies	apply	VERB
fcis-13128	56	28	to	to	ADP
fcis-13128	56	29	various	various	ADJ
fcis-13128	56	30	semantic	semantic	ADJ
fcis-13128	56	31	encoding	encoding	NOUN
fcis-13128	56	32	architectures	architecture	NOUN
fcis-13128	56	33	[	[	X
fcis-13128	56	34	5	5	NUM
fcis-13128	56	35	]	]	PUNCT
fcis-13128	56	36	.	.	PUNCT
fcis-13128	57	1	2.2	2.2	NUM
fcis-13128	57	2	.	.	PUNCT
fcis-13128	58	1	target	target	NOUN
fcis-13128	58	2	detection	detection	NOUN
fcis-13128	58	3	2.2.1	2.2.1	NUM
fcis-13128	58	4	.	.	PUNCT
fcis-13128	59	1	rotating	rotate	VERB
fcis-13128	59	2	object	object	NOUN
fcis-13128	59	3	detection	detection	NOUN
fcis-13128	59	4	qingyun	qingyun	ADV
fcis-13128	59	5	li	li	PROPN
fcis-13128	59	6	implemented	implement	VERB
fcis-13128	59	7	the	the	DET
fcis-13128	59	8	application	application	NOUN
fcis-13128	59	9	of	of	ADP
fcis-13128	59	10	sam	sam	PROPN
fcis-13128	59	11	by	by	ADP
fcis-13128	59	12	using	use	VERB
fcis-13128	59	13	mmrotate	mmrotate	NOUN
fcis-13128	59	14	to	to	PART
fcis-13128	59	15	generate	generate	VERB
fcis-13128	59	16	rotation	rotation	NOUN
fcis-13128	59	17	bounding	bounding	NOUN
fcis-13128	59	18	boxes	box	NOUN
fcis-13128	59	19	.	.	PUNCT
fcis-13128	60	1	this	this	DET
fcis-13128	60	2	method	method	NOUN
fcis-13128	60	3	was	be	AUX
fcis-13128	60	4	compared	compare	VERB
fcis-13128	60	5	with	with	ADP
fcis-13128	60	6	'	'	PUNCT
fcis-13128	60	7	h2rbox	h2rbox	PROPN
fcis-13128	60	8	v2	v2	NOUN
fcis-13128	60	9	:	:	PUNCT
fcis-13128	60	10	boosting	boost	VERB
fcis-13128	60	11	hbox	hbox	NOUN
fcis-13128	60	12	supervised	supervise	VERB
fcis-13128	60	13	oriented	orient	VERB
fcis-13128	60	14	object	object	NOUN
fcis-13128	60	15	detection	detection	NOUN
fcis-13128	60	16	via	via	ADP
fcis-13128	60	17	symmetric	symmetric	ADJ
fcis-13128	60	18	learning	learning	NOUN
fcis-13128	60	19	'	'	PUNCT
fcis-13128	60	20	.	.	PUNCT
fcis-13128	61	1	with	with	ADP
fcis-13128	61	2	the	the	DET
fcis-13128	61	3	strong	strong	ADJ
fcis-13128	61	4	zero	zero	NUM
fcis-13128	61	5	sample	sample	NOUN
fcis-13128	61	6	capability	capability	NOUN
fcis-13128	61	7	demonstrated	demonstrate	VERB
fcis-13128	61	8	by	by	ADP
fcis-13128	61	9	sam	sam	PROPN
fcis-13128	61	10	,	,	PUNCT
fcis-13128	61	11	researchers	researcher	NOUN
fcis-13128	61	12	provided	provide	VERB
fcis-13128	61	13	well	well	ADV
fcis-13128	61	14	-	-	PUNCT
fcis-13128	61	15	trained	train	VERB
fcis-13128	61	16	horizontal	horizontal	ADJ
fcis-13128	61	17	fcos	fcos	NOUN
fcis-13128	61	18	detectors	detector	NOUN
fcis-13128	61	19	as	as	ADP
fcis-13128	61	20	prompts	prompt	NOUN
fcis-13128	61	21	to	to	ADP
fcis-13128	61	22	sam	sam	PROPN
fcis-13128	61	23	to	to	PART
fcis-13128	61	24	generate	generate	VERB
fcis-13128	61	25	corresponding	corresponding	ADJ
fcis-13128	61	26	masks	mask	NOUN
fcis-13128	61	27	,	,	PUNCT
fcis-13128	61	28	and	and	CCONJ
fcis-13128	61	29	ultimately	ultimately	ADV
fcis-13128	61	30	obtained	obtain	VERB
fcis-13128	61	31	rotated	rotate	VERB
fcis-13128	61	32	rbox	rbox	NOUN
fcis-13128	61	33	by	by	ADP
fcis-13128	61	34	performing	perform	VERB
fcis-13128	61	35	minimum	minimum	ADJ
fcis-13128	61	36	bounding	bounding	NOUN
fcis-13128	61	37	rectangle	rectangle	NOUN
fcis-13128	61	38	operations	operation	NOUN
fcis-13128	61	39	on	on	ADP
fcis-13128	61	40	the	the	DET
fcis-13128	61	41	predicted	predict	VERB
fcis-13128	61	42	masks	mask	NOUN
fcis-13128	61	43	.	.	PUNCT
fcis-13128	62	1	thanks	thank	NOUN
fcis-13128	62	2	to	to	ADP
fcis-13128	62	3	its	its	PRON
fcis-13128	62	4	powerful	powerful	ADJ
fcis-13128	62	5	zero	zero	NUM
fcis-13128	62	6	sample	sample	NOUN
fcis-13128	62	7	capability	capability	NOUN
fcis-13128	62	8	,	,	PUNCT
fcis-13128	62	9	vit	vit	PROPN
fcis-13128	62	10	-	-	PUNCT
fcis-13128	62	11	b	b	PROPN
fcis-13128	62	12	based	base	VERB
fcis-13128	62	13	sam	sam	PROPN
fcis-13128	62	14	-	-	PUNCT
fcis-13128	62	15	rbox	rbox	PROPN
fcis-13128	62	16	achieved	achieve	VERB
fcis-13128	62	17	an	an	DET
fcis-13128	62	18	accuracy	accuracy	NOUN
fcis-13128	62	19	of	of	ADP
fcis-13128	62	20	63.94	63.94	NUM
fcis-13128	62	21	%	%	NOUN
fcis-13128	62	22	.	.	PUNCT
fcis-13128	63	1	however	however	ADV
fcis-13128	63	2	,	,	PUNCT
fcis-13128	63	3	due	due	ADP
fcis-13128	63	4	to	to	ADP
fcis-13128	63	5	time	time	NOUN
fcis-13128	63	6	-	-	PUNCT
fcis-13128	63	7	consuming	consume	VERB
fcis-13128	63	8	post	post	NOUN
fcis-13128	63	9	-	-	ADJ
fcis-13128	63	10	processing	processing	NOUN
fcis-13128	63	11	,	,	PUNCT
fcis-13128	63	12	only	only	ADV
fcis-13128	63	13	1.7	1.7	NUM
fcis-13128	63	14	fps	fps	NOUN
fcis-13128	63	15	was	be	AUX
fcis-13128	63	16	achieved	achieve	VERB
fcis-13128	63	17	during	during	ADP
fcis-13128	63	18	the	the	DET
fcis-13128	63	19	inference	inference	NOUN
fcis-13128	63	20	process	process	NOUN
fcis-13128	63	21	[	[	X
fcis-13128	63	22	6	6	NUM
fcis-13128	63	23	]	]	PUNCT
fcis-13128	63	24	.	.	PUNCT
fcis-13128	64	1	2.2.2	2.2.2	X
fcis-13128	64	2	.	.	NOUN
fcis-13128	64	3	abnormal	abnormal	ADJ
fcis-13128	64	4	target	target	NOUN
fcis-13128	64	5	detection	detection	NOUN
fcis-13128	64	6	yunkang	yunkang	PROPN
fcis-13128	64	7	cao	cao	PROPN
fcis-13128	64	8	et	et	PROPN
fcis-13128	64	9	al	al	PROPN
fcis-13128	64	10	.	.	PROPN
fcis-13128	64	11	introduced	introduce	VERB
fcis-13128	64	12	the	the	DET
fcis-13128	64	13	"	"	PUNCT
fcis-13128	64	14	segment	segment	NOUN
fcis-13128	64	15	any	any	DET
fcis-13128	64	16	anomaly+(saa+	anomaly+(saa+	NOUN
fcis-13128	64	17	)	)	PUNCT
fcis-13128	64	18	"	"	PUNCT
fcis-13128	64	19	innovative	innovative	ADJ
fcis-13128	64	20	framework	framework	NOUN
fcis-13128	64	21	to	to	PART
fcis-13128	64	22	achieve	achieve	VERB
fcis-13128	64	23	zero	zero	NUM
fcis-13128	64	24	sample	sample	NOUN
fcis-13128	64	25	anomaly	anomaly	NOUN
fcis-13128	64	26	target	target	NOUN
fcis-13128	64	27	detection	detection	NOUN
fcis-13128	64	28	using	use	VERB
fcis-13128	64	29	the	the	DET
fcis-13128	64	30	segment	segment	NOUN
fcis-13128	64	31	anything	anything	PRON
fcis-13128	64	32	model	model	NOUN
fcis-13128	64	33	(	(	PUNCT
fcis-13128	64	34	sam	sam	PROPN
fcis-13128	64	35	)	)	PUNCT
fcis-13128	64	36	.	.	PUNCT
fcis-13128	65	1	traditional	traditional	ADJ
fcis-13128	65	2	anomaly	anomaly	NOUN
fcis-13128	65	3	segmentation	segmentation	NOUN
fcis-13128	65	4	models	model	NOUN
fcis-13128	65	5	require	require	VERB
fcis-13128	65	6	domain	domain	NOUN
fcis-13128	65	7	fine	fine	ADV
fcis-13128	65	8	-	-	PUNCT
fcis-13128	65	9	tuning	tuning	NOUN
fcis-13128	65	10	and	and	CCONJ
fcis-13128	65	11	are	be	AUX
fcis-13128	65	12	limited	limit	VERB
fcis-13128	65	13	to	to	ADP
fcis-13128	65	14	generalization	generalization	NOUN
fcis-13128	65	15	between	between	ADP
fcis-13128	65	16	different	different	ADJ
fcis-13128	65	17	anomaly	anomaly	NOUN
fcis-13128	65	18	patterns	pattern	NOUN
fcis-13128	65	19	.	.	PUNCT
fcis-13128	66	1	therefore	therefore	ADV
fcis-13128	66	2	,	,	PUNCT
fcis-13128	66	3	this	this	DET
fcis-13128	66	4	study	study	NOUN
fcis-13128	66	5	combines	combine	VERB
fcis-13128	66	6	basic	basic	ADJ
fcis-13128	66	7	models	model	NOUN
fcis-13128	66	8	such	such	ADJ
fcis-13128	66	9	as	as	ADP
fcis-13128	66	10	sam	sam	PROPN
fcis-13128	66	11	to	to	PART
fcis-13128	66	12	apply	apply	VERB
fcis-13128	66	13	multimodal	multimodal	ADJ
fcis-13128	66	14	knowledge	knowledge	NOUN
fcis-13128	66	15	for	for	ADP
fcis-13128	66	16	anomaly	anomaly	NOUN
fcis-13128	66	17	localization	localization	NOUN
fcis-13128	66	18	for	for	ADP
fcis-13128	66	19	the	the	DET
fcis-13128	66	20	first	first	ADJ
fcis-13128	66	21	time	time	NOUN
fcis-13128	66	22	,	,	PUNCT
fcis-13128	66	23	solving	solve	VERB
fcis-13128	66	24	the	the	DET
fcis-13128	66	25	generalization	generalization	NOUN
fcis-13128	66	26	problem	problem	NOUN
fcis-13128	66	27	.	.	PUNCT
fcis-13128	67	1	to	to	PART
fcis-13128	67	2	adapt	adapt	VERB
fcis-13128	67	3	to	to	ADP
fcis-13128	67	4	anomaly	anomaly	NOUN
fcis-13128	67	5	segmentation	segmentation	NOUN
fcis-13128	67	6	,	,	PUNCT
fcis-13128	67	7	mixed	mixed	ADJ
fcis-13128	67	8	prompt	prompt	ADJ
fcis-13128	67	9	normalization	normalization	NOUN
fcis-13128	67	10	is	be	AUX
fcis-13128	67	11	introduced	introduce	VERB
fcis-13128	67	12	.	.	PUNCT
fcis-13128	68	1	the	the	DET
fcis-13128	68	2	saa+	saa+	PROPN
fcis-13128	68	3	framework	framework	NOUN
fcis-13128	68	4	has	have	VERB
fcis-13128	68	5	two	two	NUM
fcis-13128	68	6	steps	step	NOUN
fcis-13128	68	7	.	.	PUNCT
fcis-13128	69	1	use	use	VERB
fcis-13128	69	2	a	a	DET
fcis-13128	69	3	hint	hint	NOUN
fcis-13128	69	4	-	-	PUNCT
fcis-13128	69	5	based	base	VERB
fcis-13128	69	6	object	object	NOUN
fcis-13128	69	7	detection	detection	NOUN
fcis-13128	69	8	model	model	NOUN
fcis-13128	69	9	to	to	PART
fcis-13128	69	10	find	find	VERB
fcis-13128	69	11	abnormal	abnormal	ADJ
fcis-13128	69	12	areas	area	NOUN
fcis-13128	69	13	,	,	PUNCT
fcis-13128	69	14	and	and	CCONJ
fcis-13128	69	15	then	then	ADV
fcis-13128	69	16	refine	refine	VERB
fcis-13128	69	17	the	the	DET
fcis-13128	69	18	segmentation	segmentation	NOUN
fcis-13128	69	19	mask	mask	NOUN
fcis-13128	69	20	based	base	VERB
fcis-13128	69	21	on	on	ADP
fcis-13128	69	22	the	the	DET
fcis-13128	69	23	hint	hint	NOUN
fcis-13128	69	24	-	-	PUNCT
fcis-13128	69	25	based	base	VERB
fcis-13128	69	26	segmentation	segmentation	NOUN
fcis-13128	69	27	model	model	NOUN
fcis-13128	69	28	.	.	PUNCT
fcis-13128	70	1	different	different	ADJ
fcis-13128	70	2	from	from	ADP
fcis-13128	70	3	traditional	traditional	ADJ
fcis-13128	70	4	prompts	prompt	NOUN
fcis-13128	70	5	,	,	PUNCT
fcis-13128	70	6	combining	combine	VERB
fcis-13128	70	7	text	text	NOUN
fcis-13128	70	8	prompts	prompt	NOUN
fcis-13128	70	9	,	,	PUNCT
fcis-13128	70	10	domain	domain	NOUN
fcis-13128	70	11	knowledge	knowledge	NOUN
fcis-13128	70	12	,	,	PUNCT
fcis-13128	70	13	and	and	CCONJ
fcis-13128	70	14	image	image	NOUN
fcis-13128	70	15	context	context	NOUN
fcis-13128	70	16	.	.	PUNCT
fcis-13128	71	1	this	this	DET
fcis-13128	71	2	fusion	fusion	NOUN
fcis-13128	71	3	strategy	strategy	NOUN
fcis-13128	71	4	has	have	VERB
fcis-13128	71	5	a	a	DET
fcis-13128	71	6	significant	significant	ADJ
fcis-13128	71	7	effect	effect	NOUN
fcis-13128	71	8	.	.	PUNCT
fcis-13128	72	1	domain	domain	NOUN
fcis-13128	72	2	knowledge	knowledge	NOUN
fcis-13128	72	3	provides	provide	VERB
fcis-13128	72	4	target	target	NOUN
fcis-13128	72	5	exception	exception	NOUN
fcis-13128	72	6	descriptions	description	NOUN
fcis-13128	72	7	,	,	PUNCT
fcis-13128	72	8	constructs	construct	VERB
fcis-13128	72	9	specific	specific	ADJ
fcis-13128	72	10	prompts	prompt	NOUN
fcis-13128	72	11	,	,	PUNCT
fcis-13128	72	12	aligns	align	VERB
fcis-13128	72	13	basic	basic	ADJ
fcis-13128	72	14	models	model	NOUN
fcis-13128	72	15	and	and	CCONJ
fcis-13128	72	16	dataset	dataset	NOUN
fcis-13128	72	17	content	content	NOUN
fcis-13128	72	18	.	.	PUNCT
fcis-13128	73	1	based	base	VERB
fcis-13128	73	2	on	on	ADP
fcis-13128	73	3	image	image	NOUN
fcis-13128	73	4	context	context	NOUN
fcis-13128	73	5	prompts	prompt	NOUN
fcis-13128	73	6	,	,	PUNCT
fcis-13128	73	7	identify	identify	VERB
fcis-13128	73	8	,	,	PUNCT
fcis-13128	73	9	and	and	CCONJ
fcis-13128	73	10	calibrate	calibrate	ADJ
fcis-13128	73	11	anomaly	anomaly	NOUN
fcis-13128	73	12	segmentation	segmentation	NOUN
fcis-13128	73	13	,	,	PUNCT
fcis-13128	73	14	and	and	CCONJ
fcis-13128	73	15	accurately	accurately	ADV
fcis-13128	73	16	model	model	VERB
fcis-13128	73	17	the	the	DET
fcis-13128	73	18	degree	degree	NOUN
fcis-13128	73	19	of	of	ADP
fcis-13128	73	20	anomalies	anomaly	NOUN
fcis-13128	73	21	.	.	PUNCT
fcis-13128	74	1	experiments	experiment	NOUN
fcis-13128	74	2	have	have	AUX
fcis-13128	74	3	confirmed	confirm	VERB
fcis-13128	74	4	that	that	SCONJ
fcis-13128	74	5	saa+	saa+	PROPN
fcis-13128	74	6	reaches	reach	VERB
fcis-13128	74	7	a	a	DET
fcis-13128	74	8	new	new	ADJ
fcis-13128	74	9	level	level	NOUN
fcis-13128	74	10	in	in	ADP
fcis-13128	74	11	multiple	multiple	ADJ
fcis-13128	74	12	datasets	dataset	NOUN
fcis-13128	74	13	.	.	PUNCT
fcis-13128	75	1	sam	sam	PROPN
fcis-13128	75	2	's	's	PART
fcis-13128	75	3	zero	zero	NUM
fcis-13128	75	4	sample	sample	NOUN
fcis-13128	75	5	generalization	generalization	NOUN
fcis-13128	75	6	ability	ability	NOUN
fcis-13128	75	7	,	,	PUNCT
fcis-13128	75	8	mixed	mixed	ADJ
fcis-13128	75	9	hint	hint	NOUN
fcis-13128	75	10	normalization	normalization	NOUN
fcis-13128	75	11	,	,	PUNCT
fcis-13128	75	12	saa+	saa+	PROPN
fcis-13128	75	13	without	without	ADP
fcis-13128	75	14	additional	additional	ADJ
fcis-13128	75	15	training	training	NOUN
fcis-13128	75	16	,	,	PUNCT
fcis-13128	75	17	accurately	accurately	ADV
fcis-13128	75	18	detects	detect	VERB
fcis-13128	75	19	various	various	ADJ
fcis-13128	75	20	texture	texture	ADJ
fcis-13128	75	21	anomalies	anomaly	NOUN
fcis-13128	75	22	,	,	PUNCT
fcis-13128	75	23	and	and	CCONJ
fcis-13128	75	24	is	be	AUX
fcis-13128	75	25	an	an	DET
fcis-13128	75	26	efficient	efficient	ADJ
fcis-13128	75	27	anomaly	anomaly	NOUN
fcis-13128	75	28	detection	detection	NOUN
fcis-13128	75	29	scheme	scheme	NOUN
fcis-13128	75	30	[	[	X
fcis-13128	75	31	7	7	NUM
fcis-13128	75	32	]	]	PUNCT
fcis-13128	75	33	.	.	PUNCT
fcis-13128	76	1	2.3	2.3	NUM
fcis-13128	76	2	.	.	PUNCT
fcis-13128	76	3	image	image	NOUN
fcis-13128	76	4	inpainting	inpainte	VERB
fcis-13128	76	5	tao	tao	PROPN
fcis-13128	76	6	yu	yu	PROPN
fcis-13128	76	7	et	et	PROPN
fcis-13128	76	8	al	al	PROPN
fcis-13128	76	9	.	.	PROPN
fcis-13128	76	10	innovatively	innovatively	ADV
fcis-13128	76	11	explored	explore	VERB
fcis-13128	76	12	the	the	DET
fcis-13128	76	13	field	field	NOUN
fcis-13128	76	14	of	of	ADP
fcis-13128	76	15	maskless	maskless	NOUN
fcis-13128	76	16	image	image	NOUN
fcis-13128	76	17	restoration	restoration	NOUN
fcis-13128	76	18	for	for	ADP
fcis-13128	76	19	the	the	DET
fcis-13128	76	20	first	first	ADJ
fcis-13128	76	21	time	time	NOUN
fcis-13128	76	22	based	base	VERB
fcis-13128	76	23	on	on	ADP
fcis-13128	76	24	the	the	DET
fcis-13128	76	25	segment	segment	NOUN
fcis-13128	76	26	anything	anything	PRON
fcis-13128	76	27	model	model	NOUN
fcis-13128	76	28	(	(	PUNCT
fcis-13128	76	29	sam	sam	PROPN
fcis-13128	76	30	)	)	PUNCT
fcis-13128	76	31	,	,	PUNCT
fcis-13128	76	32	proposing	propose	VERB
fcis-13128	76	33	a	a	DET
fcis-13128	76	34	new	new	ADJ
fcis-13128	76	35	paradigm	paradigm	NOUN
fcis-13128	76	36	of	of	ADP
fcis-13128	76	37	"	"	PUNCT
fcis-13128	76	38	inpaint	inpaint	VERB
fcis-13128	76	39	anything	anything	PRON
fcis-13128	76	40	(	(	PUNCT
fcis-13128	76	41	ia	ia	PROPN
fcis-13128	76	42	)	)	PUNCT
fcis-13128	76	43	"	"	PUNCT
fcis-13128	76	44	.	.	PUNCT
fcis-13128	77	1	the	the	DET
fcis-13128	77	2	core	core	NOUN
fcis-13128	77	3	concept	concept	NOUN
fcis-13128	77	4	of	of	ADP
fcis-13128	77	5	ia	ia	PROPN
fcis-13128	77	6	integrates	integrate	VERB
fcis-13128	77	7	the	the	DET
fcis-13128	77	8	advantages	advantage	NOUN
fcis-13128	77	9	of	of	ADP
fcis-13128	77	10	multiple	multiple	ADJ
fcis-13128	77	11	models	model	NOUN
fcis-13128	77	12	to	to	PART
fcis-13128	77	13	build	build	VERB
fcis-13128	77	14	efficient	efficient	ADJ
fcis-13128	77	15	and	and	CCONJ
fcis-13128	77	16	easy	easy	ADJ
fcis-13128	77	17	-	-	PUNCT
fcis-13128	77	18	touse	touse	NOUN
fcis-13128	77	19	repair	repair	NOUN
fcis-13128	77	20	solutions	solution	NOUN
fcis-13128	77	21	.	.	PUNCT
fcis-13128	78	1	ia	ia	PROPN
fcis-13128	78	2	revolves	revolve	VERB
fcis-13128	78	3	around	around	ADP
fcis-13128	78	4	three	three	NUM
fcis-13128	78	5	main	main	ADJ
fcis-13128	78	6	characteristics	characteristic	NOUN
fcis-13128	78	7	,	,	PUNCT
fcis-13128	78	8	firstly	firstly	ADV
fcis-13128	78	9	"	"	PUNCT
fcis-13128	78	10	remove	remove	VERB
fcis-13128	78	11	anything	anything	PRON
fcis-13128	78	12	"	"	PUNCT
fcis-13128	78	13	.	.	PUNCT
fcis-13128	79	1	when	when	SCONJ
fcis-13128	79	2	a	a	DET
fcis-13128	79	3	user	user	NOUN
fcis-13128	79	4	selects	select	VERB
fcis-13128	79	5	a	a	DET
fcis-13128	79	6	target	target	NOUN
fcis-13128	79	7	,	,	PUNCT
fcis-13128	79	8	ia	ia	PROPN
fcis-13128	79	9	removes	remove	VERB
fcis-13128	79	10	the	the	DET
fcis-13128	79	11	content	content	NOUN
fcis-13128	79	12	and	and	CCONJ
fcis-13128	79	13	soothes	soothe	VERB
fcis-13128	79	14	the	the	DET
fcis-13128	79	15	context	context	NOUN
fcis-13128	79	16	to	to	PART
fcis-13128	79	17	fill	fill	VERB
fcis-13128	79	18	the	the	DET
fcis-13128	79	19	"	"	PUNCT
fcis-13128	79	20	hole	hole	NOUN
fcis-13128	79	21	"	"	PUNCT
fcis-13128	79	22	;	;	PUNCT
fcis-13128	79	23	then	then	ADV
fcis-13128	79	24	there	there	PRON
fcis-13128	79	25	is	be	VERB
fcis-13128	79	26	"	"	PUNCT
fcis-13128	79	27	fill	fill	VERB
fcis-13128	79	28	anything	anything	PRON
fcis-13128	79	29	"	"	PUNCT
fcis-13128	79	30	,	,	PUNCT
fcis-13128	79	31	where	where	SCONJ
fcis-13128	79	32	users	user	NOUN
fcis-13128	79	33	need	need	VERB
fcis-13128	79	34	to	to	PART
fcis-13128	79	35	provide	provide	VERB
fcis-13128	79	36	text	text	NOUN
fcis-13128	79	37	prompts	prompt	NOUN
fcis-13128	79	38	to	to	PART
fcis-13128	79	39	remove	remove	VERB
fcis-13128	79	40	objects	object	NOUN
fcis-13128	79	41	,	,	PUNCT
fcis-13128	79	42	and	and	CCONJ
fcis-13128	79	43	ia	ia	NOUN
fcis-13128	79	44	fills	fill	VERB
fcis-13128	79	45	them	they	PRON
fcis-13128	79	46	with	with	ADP
fcis-13128	79	47	aigc	aigc	NOUN
fcis-13128	79	48	models	model	NOUN
fcis-13128	79	49	such	such	ADJ
fcis-13128	79	50	as	as	ADP
fcis-13128	79	51	stable	stable	ADJ
fcis-13128	79	52	diffusion	diffusion	NOUN
fcis-13128	79	53	;	;	PUNCT
fcis-13128	79	54	finally	finally	ADV
fcis-13128	79	55	,	,	PUNCT
fcis-13128	79	56	there	there	PRON
fcis-13128	79	57	is	be	VERB
fcis-13128	79	58	"	"	PUNCT
fcis-13128	79	59	replace	replace	VERB
fcis-13128	79	60	anything	anything	PRON
fcis-13128	79	61	"	"	PUNCT
fcis-13128	79	62	,	,	PUNCT
fcis-13128	79	63	which	which	PRON
fcis-13128	79	64	preserves	preserve	VERB
fcis-13128	79	65	the	the	DET
fcis-13128	79	66	selected	select	VERB
fcis-13128	79	67	objects	object	NOUN
fcis-13128	79	68	and	and	CCONJ
fcis-13128	79	69	generates	generate	VERB
fcis-13128	79	70	a	a	DET
fcis-13128	79	71	new	new	ADJ
fcis-13128	79	72	background	background	NOUN
fcis-13128	79	73	to	to	PART
fcis-13128	79	74	replace	replace	VERB
fcis-13128	79	75	the	the	DET
fcis-13128	79	76	original	original	ADJ
fcis-13128	79	77	one	one	NUM
fcis-13128	79	78	.	.	PUNCT
fcis-13128	80	1	ia	ia	PROPN
fcis-13128	80	2	integrates	integrates	PROPN
fcis-13128	80	3	segmentation	segmentation	NOUN
fcis-13128	80	4	anything	anything	PRON
fcis-13128	80	5	's	's	PART
fcis-13128	80	6	visual	visual	ADJ
fcis-13128	80	7	basic	basic	ADJ
fcis-13128	80	8	model	model	NOUN
fcis-13128	80	9	,	,	PUNCT
fcis-13128	80	10	leading	leading	ADJ
fcis-13128	80	11	restorer	restorer	NOUN
fcis-13128	80	12	,	,	PUNCT
fcis-13128	80	13	and	and	CCONJ
fcis-13128	80	14	aigc	aigc	PROPN
fcis-13128	80	15	model	model	NOUN
fcis-13128	80	16	,	,	PUNCT
fcis-13128	80	17	supporting	support	VERB
fcis-13128	80	18	"	"	PUNCT
fcis-13128	80	19	click	click	VERB
fcis-13128	80	20	delete	delete	ADJ
fcis-13128	80	21	,	,	PUNCT
fcis-13128	80	22	prompt	prompt	ADJ
fcis-13128	80	23	fill	fill	NOUN
fcis-13128	80	24	"	"	PUNCT
fcis-13128	80	25	and	and	CCONJ
fcis-13128	80	26	adapting	adapt	VERB
fcis-13128	80	27	to	to	ADP
fcis-13128	80	28	various	various	ADJ
fcis-13128	80	29	images	image	NOUN
fcis-13128	80	30	,	,	PUNCT
fcis-13128	80	31	including	include	VERB
fcis-13128	80	32	2k	2k	NUM
fcis-13128	80	33	resolution	resolution	NOUN
fcis-13128	80	34	.	.	PUNCT
fcis-13128	81	1	the	the	DET
fcis-13128	81	2	author	author	NOUN
fcis-13128	81	3	showcases	showcase	VERB
fcis-13128	81	4	the	the	DET
fcis-13128	81	5	potential	potential	NOUN
fcis-13128	81	6	of	of	ADP
fcis-13128	81	7	large	large	ADJ
fcis-13128	81	8	-	-	PUNCT
fcis-13128	81	9	scale	scale	NOUN
fcis-13128	81	10	ai	ai	NOUN
fcis-13128	81	11	models	model	NOUN
fcis-13128	81	12	and	and	CCONJ
fcis-13128	81	13	reveals	reveal	VERB
fcis-13128	81	14	the	the	DET
fcis-13128	81	15	prospects	prospect	NOUN
fcis-13128	81	16	of	of	ADP
fcis-13128	81	17	"	"	PUNCT
fcis-13128	81	18	composable	composable	ADJ
fcis-13128	81	19	ai	ai	NOUN
fcis-13128	81	20	"	"	PUNCT
fcis-13128	81	21	.	.	PUNCT
fcis-13128	82	1	in	in	ADP
fcis-13128	82	2	the	the	DET
fcis-13128	82	3	future	future	NOUN
fcis-13128	82	4	,	,	PUNCT
fcis-13128	82	5	the	the	DET
fcis-13128	82	6	research	research	NOUN
fcis-13128	82	7	team	team	NOUN
fcis-13128	82	8	plans	plan	VERB
fcis-13128	82	9	to	to	PART
fcis-13128	82	10	further	far	ADV
fcis-13128	82	11	develop	develop	VERB
fcis-13128	82	12	ia	ia	NOUN
fcis-13128	82	13	by	by	ADP
fcis-13128	82	14	incorporating	incorporate	VERB
fcis-13128	82	15	functions	function	NOUN
fcis-13128	82	16	such	such	ADJ
fcis-13128	82	17	as	as	ADP
fcis-13128	82	18	image	image	NOUN
fcis-13128	82	19	matting	matting	NOUN
fcis-13128	82	20	and	and	CCONJ
fcis-13128	82	21	editing	editing	NOUN
fcis-13128	82	22	,	,	PUNCT
fcis-13128	82	23	which	which	PRON
fcis-13128	82	24	will	will	AUX
fcis-13128	82	25	be	be	AUX
fcis-13128	82	26	widely	widely	ADV
fcis-13128	82	27	applied	apply	VERB
fcis-13128	82	28	in	in	ADP
fcis-13128	82	29	practical	practical	ADJ
fcis-13128	82	30	scenarios	scenario	NOUN
fcis-13128	82	31	[	[	X
fcis-13128	82	32	8	8	NUM
fcis-13128	82	33	]	]	PUNCT
fcis-13128	82	34	.	.	PUNCT
fcis-13128	83	1	118	118	NUM
fcis-13128	83	2	3	3	NUM
fcis-13128	83	3	.	.	PUNCT
fcis-13128	83	4	practical	practical	ADJ
fcis-13128	83	5	applications	application	NOUN
fcis-13128	83	6	in	in	ADP
fcis-13128	83	7	reality	reality	NOUN
fcis-13128	83	8	3.1	3.1	NUM
fcis-13128	83	9	.	.	PUNCT
fcis-13128	84	1	remote	remote	ADJ
fcis-13128	84	2	sensing	sense	VERB
fcis-13128	84	3	to	to	PART
fcis-13128	84	4	fully	fully	ADV
fcis-13128	84	5	utilize	utilize	VERB
fcis-13128	84	6	the	the	DET
fcis-13128	84	7	excellent	excellent	ADJ
fcis-13128	84	8	characteristics	characteristic	NOUN
fcis-13128	84	9	of	of	ADP
fcis-13128	84	10	sam	sam	PROPN
fcis-13128	84	11	,	,	PUNCT
fcis-13128	84	12	innovative	innovative	ADJ
fcis-13128	84	13	methods	method	NOUN
fcis-13128	84	14	have	have	AUX
fcis-13128	84	15	been	be	AUX
fcis-13128	84	16	used	use	VERB
fcis-13128	84	17	to	to	PART
fcis-13128	84	18	segment	segment	VERB
fcis-13128	84	19	remote	remote	ADJ
fcis-13128	84	20	sensing	sense	VERB
fcis-13128	84	21	images	image	NOUN
fcis-13128	84	22	using	use	VERB
fcis-13128	84	23	sam	sam	PROPN
fcis-13128	84	24	.	.	PUNCT
fcis-13128	85	1	for	for	ADP
fcis-13128	85	2	example	example	NOUN
fcis-13128	85	3	,	,	PUNCT
fcis-13128	85	4	keyan	keyan	PROPN
fcis-13128	85	5	chen	chen	PROPN
fcis-13128	85	6	et	et	PROPN
fcis-13128	85	7	al	al	PROPN
fcis-13128	85	8	.	.	PROPN
fcis-13128	85	9	proposed	propose	VERB
fcis-13128	85	10	a	a	DET
fcis-13128	85	11	method	method	NOUN
fcis-13128	85	12	based	base	VERB
fcis-13128	85	13	on	on	ADP
fcis-13128	85	14	prompt	prompt	ADJ
fcis-13128	85	15	learning	learning	NOUN
fcis-13128	85	16	,	,	PUNCT
fcis-13128	85	17	named	name	VERB
fcis-13128	85	18	rsprompt	rsprompt	ADJ
fcis-13128	85	19	,	,	PUNCT
fcis-13128	85	20	to	to	PART
fcis-13128	85	21	address	address	VERB
fcis-13128	85	22	the	the	DET
fcis-13128	85	23	universality	universality	NOUN
fcis-13128	85	24	and	and	CCONJ
fcis-13128	85	25	zero	zero	NUM
fcis-13128	85	26	sample	sample	NOUN
fcis-13128	85	27	capability	capability	NOUN
fcis-13128	85	28	of	of	ADP
fcis-13128	85	29	sam	sam	PROPN
fcis-13128	85	30	in	in	ADP
fcis-13128	85	31	image	image	NOUN
fcis-13128	85	32	segmentation	segmentation	NOUN
fcis-13128	85	33	,	,	PUNCT
fcis-13128	85	34	as	as	ADV
fcis-13128	85	35	well	well	ADV
fcis-13128	85	36	as	as	ADP
fcis-13128	85	37	the	the	DET
fcis-13128	85	38	remaining	remain	VERB
fcis-13128	85	39	issues	issue	NOUN
fcis-13128	85	40	in	in	ADP
fcis-13128	85	41	remote	remote	ADJ
fcis-13128	85	42	sensing	sense	VERB
fcis-13128	85	43	image	image	NOUN
fcis-13128	85	44	segmentation	segmentation	NOUN
fcis-13128	85	45	tasks	task	NOUN
fcis-13128	85	46	.	.	PUNCT
fcis-13128	86	1	this	this	DET
fcis-13128	86	2	method	method	NOUN
fcis-13128	86	3	can	can	AUX
fcis-13128	86	4	automatically	automatically	ADV
fcis-13128	86	5	generate	generate	VERB
fcis-13128	86	6	appropriate	appropriate	ADJ
fcis-13128	86	7	prompts	prompt	NOUN
fcis-13128	86	8	suitable	suitable	ADJ
fcis-13128	86	9	for	for	ADP
fcis-13128	86	10	sam	sam	PROPN
fcis-13128	86	11	input	input	NOUN
fcis-13128	86	12	,	,	PUNCT
fcis-13128	86	13	enabling	enable	VERB
fcis-13128	86	14	sam	sam	PROPN
fcis-13128	86	15	to	to	PART
fcis-13128	86	16	generate	generate	VERB
fcis-13128	86	17	segmentation	segmentation	NOUN
fcis-13128	86	18	results	result	NOUN
fcis-13128	86	19	with	with	ADP
fcis-13128	86	20	semantic	semantic	ADJ
fcis-13128	86	21	differentiation	differentiation	NOUN
fcis-13128	86	22	ability	ability	NOUN
fcis-13128	86	23	in	in	ADP
fcis-13128	86	24	remote	remote	ADJ
fcis-13128	86	25	sensing	sensing	NOUN
fcis-13128	86	26	images	image	NOUN
fcis-13128	86	27	[	[	X
fcis-13128	86	28	9	9	NUM
fcis-13128	86	29	]	]	PUNCT
fcis-13128	86	30	.	.	PUNCT
fcis-13128	87	1	in	in	ADP
fcis-13128	87	2	addition	addition	NOUN
fcis-13128	87	3	,	,	PUNCT
fcis-13128	87	4	di	di	X
fcis-13128	87	5	wang	wang	PROPN
fcis-13128	87	6	et	et	PROPN
fcis-13128	87	7	al	al	PROPN
fcis-13128	87	8	.	.	PROPN
fcis-13128	87	9	explored	explore	VERB
fcis-13128	87	10	how	how	SCONJ
fcis-13128	87	11	to	to	PART
fcis-13128	87	12	quickly	quickly	ADV
fcis-13128	87	13	generate	generate	VERB
fcis-13128	87	14	large	large	ADJ
fcis-13128	87	15	-	-	PUNCT
fcis-13128	87	16	scale	scale	NOUN
fcis-13128	87	17	remote	remote	ADJ
fcis-13128	87	18	sensing	sense	VERB
fcis-13128	87	19	image	image	NOUN
fcis-13128	87	20	segmentation	segmentation	NOUN
fcis-13128	87	21	datasets	dataset	NOUN
fcis-13128	87	22	(	(	PUNCT
fcis-13128	87	23	samrs	samrs	ADJ
fcis-13128	87	24	)	)	PUNCT
fcis-13128	87	25	through	through	ADP
fcis-13128	87	26	sam	sam	PROPN
fcis-13128	87	27	using	use	VERB
fcis-13128	87	28	existing	exist	VERB
fcis-13128	87	29	remote	remote	ADJ
fcis-13128	87	30	sensing	sense	VERB
fcis-13128	87	31	object	object	NOUN
fcis-13128	87	32	detection	detection	NOUN
fcis-13128	87	33	datasets	dataset	NOUN
fcis-13128	87	34	.	.	PUNCT
fcis-13128	88	1	in	in	ADP
fcis-13128	88	2	fact	fact	NOUN
fcis-13128	88	3	,	,	PUNCT
fcis-13128	88	4	samrs	samrs	ADJ
fcis-13128	88	5	not	not	PART
fcis-13128	88	6	only	only	ADV
fcis-13128	88	7	has	have	VERB
fcis-13128	88	8	a	a	DET
fcis-13128	88	9	large	large	ADJ
fcis-13128	88	10	scale	scale	NOUN
fcis-13128	88	11	,	,	PUNCT
fcis-13128	88	12	but	but	CCONJ
fcis-13128	88	13	also	also	ADV
fcis-13128	88	14	provides	provide	VERB
fcis-13128	88	15	object	object	NOUN
fcis-13128	88	16	category	category	NOUN
fcis-13128	88	17	,	,	PUNCT
fcis-13128	88	18	location	location	NOUN
fcis-13128	88	19	,	,	PUNCT
fcis-13128	88	20	and	and	CCONJ
fcis-13128	88	21	instance	instance	NOUN
fcis-13128	88	22	information	information	NOUN
fcis-13128	88	23	for	for	ADP
fcis-13128	88	24	semantic	semantic	ADJ
fcis-13128	88	25	segmentation	segmentation	NOUN
fcis-13128	88	26	,	,	PUNCT
fcis-13128	88	27	instance	instance	NOUN
fcis-13128	88	28	segmentation	segmentation	NOUN
fcis-13128	88	29	,	,	PUNCT
fcis-13128	88	30	and	and	CCONJ
fcis-13128	88	31	object	object	VERB
fcis-13128	88	32	detection	detection	NOUN
fcis-13128	88	33	,	,	PUNCT
fcis-13128	88	34	providing	provide	VERB
fcis-13128	88	35	strong	strong	ADJ
fcis-13128	88	36	resource	resource	NOUN
fcis-13128	88	37	support	support	NOUN
fcis-13128	88	38	for	for	ADP
fcis-13128	88	39	research	research	NOUN
fcis-13128	88	40	in	in	ADP
fcis-13128	88	41	the	the	DET
fcis-13128	88	42	field	field	NOUN
fcis-13128	88	43	of	of	ADP
fcis-13128	88	44	remote	remote	ADJ
fcis-13128	88	45	sensing	sense	VERB
fcis-13128	88	46	image	image	NOUN
fcis-13128	88	47	segmentation	segmentation	NOUN
fcis-13128	88	48	[	[	X
fcis-13128	88	49	10	10	NUM
fcis-13128	88	50	]	]	PUNCT
fcis-13128	88	51	.	.	PUNCT
fcis-13128	89	1	these	these	DET
fcis-13128	89	2	two	two	NUM
fcis-13128	89	3	studies	study	NOUN
fcis-13128	89	4	jointly	jointly	ADV
fcis-13128	89	5	demonstrate	demonstrate	VERB
fcis-13128	89	6	the	the	DET
fcis-13128	89	7	innovative	innovative	ADJ
fcis-13128	89	8	application	application	NOUN
fcis-13128	89	9	of	of	ADP
fcis-13128	89	10	sam	sam	PROPN
fcis-13128	89	11	in	in	ADP
fcis-13128	89	12	remote	remote	ADJ
fcis-13128	89	13	sensing	sense	VERB
fcis-13128	89	14	image	image	NOUN
fcis-13128	89	15	segmentation	segmentation	NOUN
fcis-13128	89	16	and	and	CCONJ
fcis-13128	89	17	how	how	SCONJ
fcis-13128	89	18	to	to	PART
fcis-13128	89	19	overcome	overcome	VERB
fcis-13128	89	20	the	the	DET
fcis-13128	89	21	difficulty	difficulty	NOUN
fcis-13128	89	22	of	of	ADP
fcis-13128	89	23	remote	remote	ADJ
fcis-13128	89	24	sensing	sense	VERB
fcis-13128	89	25	data	datum	NOUN
fcis-13128	89	26	annotation	annotation	NOUN
fcis-13128	89	27	,	,	PUNCT
fcis-13128	89	28	providing	provide	VERB
fcis-13128	89	29	new	new	ADJ
fcis-13128	89	30	ideas	idea	NOUN
fcis-13128	89	31	and	and	CCONJ
fcis-13128	89	32	resources	resource	NOUN
fcis-13128	89	33	for	for	ADP
fcis-13128	89	34	remote	remote	ADJ
fcis-13128	89	35	sensing	sense	VERB
fcis-13128	89	36	image	image	NOUN
fcis-13128	89	37	segmentation	segmentation	NOUN
fcis-13128	89	38	research	research	NOUN
fcis-13128	89	39	.	.	PUNCT
fcis-13128	90	1	3.2	3.2	NUM
fcis-13128	90	2	.	.	PUNCT
fcis-13128	90	3	medical	medical	ADJ
fcis-13128	90	4	field	field	NOUN
fcis-13128	90	5	to	to	PART
fcis-13128	90	6	explore	explore	VERB
fcis-13128	90	7	the	the	DET
fcis-13128	90	8	effectiveness	effectiveness	NOUN
fcis-13128	90	9	of	of	ADP
fcis-13128	90	10	sam	sam	PROPN
fcis-13128	90	11	in	in	ADP
fcis-13128	90	12	medical	medical	ADJ
fcis-13128	90	13	images	image	NOUN
fcis-13128	90	14	,	,	PUNCT
fcis-13128	90	15	sheng	sheng	PROPN
fcis-13128	90	16	he	he	PRON
fcis-13128	90	17	et	et	PROPN
fcis-13128	90	18	al	al	PROPN
fcis-13128	90	19	.	.	PROPN
fcis-13128	90	20	tested	test	VERB
fcis-13128	90	21	the	the	DET
fcis-13128	90	22	accuracy	accuracy	NOUN
fcis-13128	90	23	of	of	ADP
fcis-13128	90	24	sam	sam	PROPN
fcis-13128	90	25	in	in	ADP
fcis-13128	90	26	different	different	ADJ
fcis-13128	90	27	medical	medical	ADJ
fcis-13128	90	28	image	image	NOUN
fcis-13128	90	29	segmentation	segmentation	NOUN
fcis-13128	90	30	tasks	task	NOUN
fcis-13128	90	31	and	and	CCONJ
fcis-13128	90	32	explored	explore	VERB
fcis-13128	90	33	influencing	influence	VERB
fcis-13128	90	34	factors	factor	NOUN
fcis-13128	90	35	.	.	PUNCT
fcis-13128	91	1	they	they	PRON
fcis-13128	91	2	tested	test	VERB
fcis-13128	91	3	sam	sam	PROPN
fcis-13128	91	4	on	on	ADP
fcis-13128	91	5	12	12	NUM
fcis-13128	91	6	datasets	dataset	NOUN
fcis-13128	91	7	.	.	PUNCT
fcis-13128	92	1	measure	measure	NOUN
fcis-13128	92	2	accuracy	accuracy	NOUN
fcis-13128	92	3	using	use	VERB
fcis-13128	92	4	dice	dice	NOUN
fcis-13128	92	5	coefficient	coefficient	NOUN
fcis-13128	92	6	and	and	CCONJ
fcis-13128	92	7	compare	compare	VERB
fcis-13128	92	8	with	with	ADP
fcis-13128	92	9	5	5	NUM
fcis-13128	92	10	medical	medical	ADJ
fcis-13128	92	11	image	image	NOUN
fcis-13128	92	12	segmentation	segmentation	NOUN
fcis-13128	92	13	algorithms	algorithm	NOUN
fcis-13128	92	14	.	.	PUNCT
fcis-13128	93	1	however	however	ADV
fcis-13128	93	2	,	,	PUNCT
fcis-13128	93	3	in	in	ADP
fcis-13128	93	4	terms	term	NOUN
fcis-13128	93	5	of	of	ADP
fcis-13128	93	6	results	result	NOUN
fcis-13128	93	7	,	,	PUNCT
fcis-13128	93	8	the	the	DET
fcis-13128	93	9	dice	dice	NOUN
fcis-13128	93	10	coefficient	coefficient	NOUN
fcis-13128	93	11	of	of	ADP
fcis-13128	93	12	sam	sam	PROPN
fcis-13128	93	13	in	in	ADP
fcis-13128	93	14	12	12	NUM
fcis-13128	93	15	datasets	dataset	NOUN
fcis-13128	93	16	was	be	AUX
fcis-13128	93	17	significantly	significantly	ADV
fcis-13128	93	18	lower	low	ADJ
fcis-13128	93	19	than	than	ADP
fcis-13128	93	20	the	the	DET
fcis-13128	93	21	other	other	ADJ
fcis-13128	93	22	5	5	NUM
fcis-13128	93	23	algorithms	algorithm	NOUN
fcis-13128	93	24	,	,	PUNCT
fcis-13128	93	25	with	with	ADP
fcis-13128	93	26	a	a	DET
fcis-13128	93	27	difference	difference	NOUN
fcis-13128	93	28	between	between	ADP
fcis-13128	93	29	0.1	0.1	NUM
fcis-13128	93	30	and	and	CCONJ
fcis-13128	93	31	0.7	0.7	NUM
fcis-13128	94	1	[	[	PUNCT
fcis-13128	94	2	11	11	NUM
fcis-13128	94	3	]	]	PUNCT
fcis-13128	94	4	.	.	PUNCT
fcis-13128	95	1	additionally	additionally	ADV
fcis-13128	95	2	,	,	PUNCT
fcis-13128	95	3	maciej	maciej	PROPN
fcis-13128	95	4	a.	a.	PROPN
fcis-13128	95	5	mazurowski	mazurowski	PROPN
fcis-13128	95	6	et	et	PROPN
fcis-13128	95	7	al	al	PROPN
fcis-13128	95	8	.	.	PROPN
fcis-13128	95	9	found	find	VERB
fcis-13128	95	10	through	through	ADP
fcis-13128	95	11	research	research	NOUN
fcis-13128	95	12	that	that	SCONJ
fcis-13128	95	13	sam	sam	PROPN
fcis-13128	95	14	exhibits	exhibit	VERB
fcis-13128	95	15	impressive	impressive	ADJ
fcis-13128	95	16	zero	zero	NUM
fcis-13128	95	17	shot	shot	NOUN
fcis-13128	95	18	segmentation	segmentation	NOUN
fcis-13128	95	19	performance	performance	NOUN
fcis-13128	95	20	on	on	ADP
fcis-13128	95	21	certain	certain	ADJ
fcis-13128	95	22	medical	medical	ADJ
fcis-13128	95	23	image	image	NOUN
fcis-13128	95	24	datasets	dataset	NOUN
fcis-13128	95	25	but	but	CCONJ
fcis-13128	95	26	has	have	AUX
fcis-13128	95	27	moderate	moderate	ADJ
fcis-13128	95	28	to	to	ADP
fcis-13128	95	29	poor	poor	ADJ
fcis-13128	95	30	performance	performance	NOUN
fcis-13128	95	31	for	for	ADP
fcis-13128	95	32	other	other	ADJ
fcis-13128	95	33	datasets	dataset	NOUN
fcis-13128	95	34	[	[	X
fcis-13128	95	35	12	12	NUM
fcis-13128	95	36	]	]	PUNCT
fcis-13128	95	37	.	.	PUNCT
fcis-13128	96	1	however	however	ADV
fcis-13128	96	2	,	,	PUNCT
fcis-13128	96	3	peilun	peilun	PROPN
fcis-13128	96	4	shi	shi	PROPN
fcis-13128	96	5	et	et	PROPN
fcis-13128	96	6	al	al	PROPN
fcis-13128	96	7	.	.	PROPN
fcis-13128	96	8	believe	believe	VERB
fcis-13128	96	9	that	that	SCONJ
fcis-13128	96	10	sam	sam	PROPN
fcis-13128	96	11	has	have	VERB
fcis-13128	96	12	limitations	limitation	NOUN
fcis-13128	96	13	in	in	ADP
fcis-13128	96	14	fields	field	NOUN
fcis-13128	96	15	such	such	ADJ
fcis-13128	96	16	as	as	ADP
fcis-13128	96	17	medical	medical	ADJ
fcis-13128	96	18	imaging	imaging	NOUN
fcis-13128	96	19	,	,	PUNCT
fcis-13128	96	20	and	and	CCONJ
fcis-13128	96	21	its	its	PRON
fcis-13128	96	22	zerosample	zerosample	PROPN
fcis-13128	96	23	segmentation	segmentation	NOUN
fcis-13128	96	24	performance	performance	NOUN
fcis-13128	96	25	is	be	AUX
fcis-13128	96	26	inconsistent	inconsistent	ADJ
fcis-13128	96	27	in	in	ADP
fcis-13128	96	28	different	different	ADJ
fcis-13128	96	29	medical	medical	ADJ
fcis-13128	96	30	fields	field	NOUN
fcis-13128	96	31	.	.	PUNCT
fcis-13128	97	1	for	for	ADP
fcis-13128	97	2	certain	certain	ADJ
fcis-13128	97	3	structured	structured	ADJ
fcis-13128	97	4	targets	target	NOUN
fcis-13128	97	5	such	such	ADJ
fcis-13128	97	6	as	as	ADP
fcis-13128	97	7	blood	blood	NOUN
fcis-13128	97	8	vessels	vessel	NOUN
fcis-13128	97	9	,	,	PUNCT
fcis-13128	97	10	zero	zero	NUM
fcis-13128	97	11	sample	sample	NOUN
fcis-13128	97	12	segmentation	segmentation	NOUN
fcis-13128	97	13	fails	fail	VERB
fcis-13128	97	14	.	.	PUNCT
fcis-13128	98	1	nevertheless	nevertheless	ADV
fcis-13128	98	2	,	,	PUNCT
fcis-13128	98	3	by	by	ADP
fcis-13128	98	4	fine	fine	ADV
fcis-13128	98	5	-	-	PUNCT
fcis-13128	98	6	tuning	tune	VERB
fcis-13128	98	7	a	a	DET
fcis-13128	98	8	small	small	ADJ
fcis-13128	98	9	amount	amount	NOUN
fcis-13128	98	10	of	of	ADP
fcis-13128	98	11	data	datum	NOUN
fcis-13128	98	12	,	,	PUNCT
fcis-13128	98	13	the	the	DET
fcis-13128	98	14	segmentation	segmentation	NOUN
fcis-13128	98	15	quality	quality	NOUN
fcis-13128	98	16	can	can	AUX
fcis-13128	98	17	be	be	AUX
fcis-13128	98	18	significantly	significantly	ADV
fcis-13128	98	19	improved	improve	VERB
fcis-13128	98	20	,	,	PUNCT
fcis-13128	98	21	demonstrating	demonstrate	VERB
fcis-13128	98	22	the	the	DET
fcis-13128	98	23	enormous	enormous	ADJ
fcis-13128	98	24	potential	potential	NOUN
fcis-13128	98	25	and	and	CCONJ
fcis-13128	98	26	feasibility	feasibility	NOUN
fcis-13128	98	27	of	of	ADP
fcis-13128	98	28	fine	fine	ADV
fcis-13128	98	29	-	-	PUNCT
fcis-13128	98	30	tuning	tune	VERB
fcis-13128	98	31	sam	sam	NOUN
fcis-13128	98	32	in	in	ADP
fcis-13128	98	33	precise	precise	ADJ
fcis-13128	98	34	medical	medical	ADJ
fcis-13128	98	35	image	image	NOUN
fcis-13128	98	36	segmentation	segmentation	NOUN
fcis-13128	98	37	[	[	X
fcis-13128	98	38	13	13	NUM
fcis-13128	98	39	]	]	PUNCT
fcis-13128	98	40	to	to	PART
fcis-13128	98	41	address	address	VERB
fcis-13128	98	42	this	this	DET
fcis-13128	98	43	issue	issue	NOUN
fcis-13128	98	44	,	,	PUNCT
fcis-13128	98	45	jun	jun	PROPN
fcis-13128	98	46	ma	ma	PROPN
fcis-13128	98	47	et	et	PROPN
fcis-13128	98	48	al	al	PROPN
fcis-13128	98	49	.	.	PROPN
fcis-13128	98	50	proposed	propose	VERB
fcis-13128	98	51	medsam	medsam	NOUN
fcis-13128	98	52	,	,	PUNCT
fcis-13128	98	53	which	which	PRON
fcis-13128	98	54	is	be	AUX
fcis-13128	98	55	based	base	VERB
fcis-13128	98	56	on	on	ADP
fcis-13128	98	57	sam	sam	PROPN
fcis-13128	98	58	and	and	CCONJ
fcis-13128	98	59	used	use	VERB
fcis-13128	98	60	in	in	ADP
fcis-13128	98	61	medicine	medicine	NOUN
fcis-13128	98	62	.	.	PUNCT
fcis-13128	99	1	with	with	ADP
fcis-13128	99	2	a	a	DET
fcis-13128	99	3	dataset	dataset	NOUN
fcis-13128	99	4	constructed	construct	VERB
fcis-13128	99	5	from	from	ADP
fcis-13128	99	6	over	over	ADP
fcis-13128	99	7	one	one	NUM
fcis-13128	99	8	million	million	NUM
fcis-13128	99	9	images	image	NOUN
fcis-13128	99	10	,	,	PUNCT
fcis-13128	99	11	medsam	medsam	NOUN
fcis-13128	99	12	not	not	PART
fcis-13128	99	13	only	only	ADV
fcis-13128	99	14	outperforms	outperform	VERB
fcis-13128	99	15	existing	exist	VERB
fcis-13128	99	16	segmentation	segmentation	NOUN
fcis-13128	99	17	basic	basic	ADJ
fcis-13128	99	18	models	model	NOUN
fcis-13128	99	19	in	in	ADP
fcis-13128	99	20	terms	term	NOUN
fcis-13128	99	21	of	of	ADP
fcis-13128	99	22	performance	performance	NOUN
fcis-13128	99	23	,	,	PUNCT
fcis-13128	99	24	but	but	CCONJ
fcis-13128	99	25	also	also	ADV
fcis-13128	99	26	exhibits	exhibit	VERB
fcis-13128	99	27	comparable	comparable	ADJ
fcis-13128	99	28	or	or	CCONJ
fcis-13128	99	29	even	even	ADV
fcis-13128	99	30	superior	superior	ADJ
fcis-13128	99	31	performance	performance	NOUN
fcis-13128	99	32	in	in	ADP
fcis-13128	99	33	many	many	ADJ
fcis-13128	99	34	professional	professional	ADJ
fcis-13128	99	35	models	model	NOUN
fcis-13128	99	36	.	.	PUNCT
fcis-13128	100	1	in	in	ADP
fcis-13128	100	2	addition	addition	NOUN
fcis-13128	100	3	,	,	PUNCT
fcis-13128	100	4	medsam	medsam	NOUN
fcis-13128	100	5	can	can	AUX
fcis-13128	100	6	accurately	accurately	ADV
fcis-13128	100	7	extract	extract	VERB
fcis-13128	100	8	key	key	ADJ
fcis-13128	100	9	biomarkers	biomarker	NOUN
fcis-13128	100	10	for	for	ADP
fcis-13128	100	11	quantifying	quantify	VERB
fcis-13128	100	12	tumor	tumor	NOUN
fcis-13128	100	13	burden	burden	NOUN
fcis-13128	100	14	,	,	PUNCT
fcis-13128	100	15	thus	thus	ADV
fcis-13128	100	16	possessing	possess	VERB
fcis-13128	100	17	the	the	DET
fcis-13128	100	18	potential	potential	NOUN
fcis-13128	100	19	to	to	PART
fcis-13128	100	20	accelerate	accelerate	VERB
fcis-13128	100	21	the	the	DET
fcis-13128	100	22	development	development	NOUN
fcis-13128	100	23	of	of	ADP
fcis-13128	100	24	diagnostic	diagnostic	ADJ
fcis-13128	100	25	tools	tool	NOUN
fcis-13128	100	26	and	and	CCONJ
fcis-13128	100	27	personalized	personalized	ADJ
fcis-13128	100	28	treatment	treatment	NOUN
fcis-13128	100	29	.	.	PUNCT
fcis-13128	101	1	by	by	ADP
fcis-13128	101	2	achieving	achieve	VERB
fcis-13128	101	3	accurate	accurate	ADJ
fcis-13128	101	4	and	and	CCONJ
fcis-13128	101	5	efficient	efficient	ADJ
fcis-13128	101	6	segmentation	segmentation	NOUN
fcis-13128	101	7	in	in	ADP
fcis-13128	101	8	multiple	multiple	ADJ
fcis-13128	101	9	tasks	task	NOUN
fcis-13128	101	10	through	through	ADP
fcis-13128	101	11	medsam	medsam	NOUN
fcis-13128	101	12	,	,	PUNCT
fcis-13128	101	13	it	it	PRON
fcis-13128	101	14	is	be	AUX
fcis-13128	101	15	expected	expect	VERB
fcis-13128	101	16	to	to	PART
fcis-13128	101	17	promote	promote	VERB
fcis-13128	101	18	the	the	DET
fcis-13128	101	19	further	further	ADJ
fcis-13128	101	20	development	development	NOUN
fcis-13128	101	21	of	of	ADP
fcis-13128	101	22	diagnostic	diagnostic	ADJ
fcis-13128	101	23	tools	tool	NOUN
fcis-13128	101	24	and	and	CCONJ
fcis-13128	101	25	personalized	personalized	ADJ
fcis-13128	101	26	treatment	treatment	NOUN
fcis-13128	101	27	plans	plan	NOUN
fcis-13128	101	28	[	[	X
fcis-13128	101	29	14	14	NUM
fcis-13128	101	30	]	]	PUNCT
fcis-13128	101	31	.	.	PUNCT
fcis-13128	102	1	furthermore	furthermore	ADV
fcis-13128	102	2	,	,	PUNCT
fcis-13128	102	3	junde	junde	PROPN
fcis-13128	102	4	wu	wu	PROPN
fcis-13128	102	5	et	et	PROPN
fcis-13128	102	6	al	al	PROPN
fcis-13128	102	7	.	.	PROPN
fcis-13128	102	8	proposed	propose	VERB
fcis-13128	102	9	the	the	DET
fcis-13128	102	10	med	med	PROPN
fcis-13128	102	11	sam	sam	PROPN
fcis-13128	102	12	adapter	adapter	PROPN
fcis-13128	102	13	,	,	PUNCT
fcis-13128	102	14	which	which	PRON
fcis-13128	102	15	integrates	integrate	VERB
fcis-13128	102	16	medical	medical	ADJ
fcis-13128	102	17	domain	domain	NOUN
fcis-13128	102	18	knowledge	knowledge	NOUN
fcis-13128	102	19	into	into	ADP
fcis-13128	102	20	segmentation	segmentation	NOUN
fcis-13128	102	21	models	model	NOUN
fcis-13128	102	22	through	through	ADP
fcis-13128	102	23	simple	simple	ADJ
fcis-13128	102	24	adaptation	adaptation	NOUN
fcis-13128	102	25	techniques	technique	NOUN
fcis-13128	102	26	.	.	PUNCT
fcis-13128	103	1	although	although	SCONJ
fcis-13128	103	2	it	it	PRON
fcis-13128	103	3	is	be	AUX
fcis-13128	103	4	one	one	NUM
fcis-13128	103	5	of	of	ADP
fcis-13128	103	6	the	the	DET
fcis-13128	103	7	rare	rare	ADJ
fcis-13128	103	8	practices	practice	NOUN
fcis-13128	103	9	of	of	ADP
fcis-13128	103	10	natural	natural	ADJ
fcis-13128	103	11	language	language	NOUN
fcis-13128	103	12	processing	processing	NOUN
fcis-13128	103	13	technology	technology	NOUN
fcis-13128	103	14	adapters	adapter	NOUN
fcis-13128	103	15	in	in	ADP
fcis-13128	103	16	the	the	DET
fcis-13128	103	17	field	field	NOUN
fcis-13128	103	18	of	of	ADP
fcis-13128	103	19	vision	vision	NOUN
fcis-13128	103	20	,	,	PUNCT
fcis-13128	103	21	it	it	PRON
fcis-13128	103	22	performs	perform	VERB
fcis-13128	103	23	excellently	excellently	ADV
fcis-13128	103	24	in	in	ADP
fcis-13128	103	25	medical	medical	ADJ
fcis-13128	103	26	image	image	NOUN
fcis-13128	103	27	segmentation	segmentation	NOUN
fcis-13128	103	28	.	.	PUNCT
fcis-13128	104	1	the	the	DET
fcis-13128	104	2	medical	medical	ADJ
fcis-13128	104	3	sam	sam	PROPN
fcis-13128	104	4	adapter	adapter	PROPN
fcis-13128	104	5	(	(	PUNCT
fcis-13128	104	6	msa	msa	PROPN
fcis-13128	104	7	)	)	PUNCT
fcis-13128	104	8	has	have	AUX
fcis-13128	104	9	demonstrated	demonstrate	VERB
fcis-13128	104	10	excellent	excellent	ADJ
fcis-13128	104	11	performance	performance	NOUN
fcis-13128	104	12	in	in	ADP
fcis-13128	104	13	19	19	NUM
fcis-13128	104	14	tasks	task	NOUN
fcis-13128	104	15	,	,	PUNCT
fcis-13128	104	16	covering	cover	VERB
fcis-13128	104	17	ct	ct	PRON
fcis-13128	104	18	,	,	PUNCT
fcis-13128	104	19	mri	mri	PROPN
fcis-13128	104	20	,	,	PUNCT
fcis-13128	104	21	ultrasound	ultrasound	NOUN
fcis-13128	104	22	,	,	PUNCT
fcis-13128	104	23	fundus	fundus	NOUN
fcis-13128	104	24	,	,	PUNCT
fcis-13128	104	25	and	and	CCONJ
fcis-13128	104	26	dermatoscopy	dermatoscopy	VERB
fcis-13128	104	27	images	image	NOUN
fcis-13128	104	28	.	.	PUNCT
fcis-13128	105	1	compared	compare	VERB
fcis-13128	105	2	to	to	AUX
fcis-13128	105	3	fully	fully	ADV
fcis-13128	105	4	tuned	tune	VERB
fcis-13128	105	5	medsam	medsam	NOUN
fcis-13128	105	6	in	in	ADP
fcis-13128	105	7	terms	term	NOUN
fcis-13128	105	8	of	of	ADP
fcis-13128	105	9	nnunet	nnunet	NOUN
fcis-13128	105	10	,	,	PUNCT
fcis-13128	105	11	transunet	transunet	NOUN
fcis-13128	105	12	,	,	PUNCT
fcis-13128	105	13	unetr	unetr	PROPN
fcis-13128	105	14	,	,	PUNCT
fcis-13128	105	15	medsegdiff	medsegdiff	NOUN
fcis-13128	105	16	,	,	PUNCT
fcis-13128	105	17	etc	etc	X
fcis-13128	105	18	.	.	X
fcis-13128	105	19	,	,	PUNCT
fcis-13128	105	20	the	the	DET
fcis-13128	105	21	performance	performance	NOUN
fcis-13128	105	22	gap	gap	NOUN
fcis-13128	105	23	is	be	AUX
fcis-13128	105	24	significant	significant	ADJ
fcis-13128	105	25	[	[	X
fcis-13128	105	26	15	15	NUM
fcis-13128	105	27	]	]	SYM
fcis-13128	105	28	.	.	PUNCT
fcis-13128	106	1	4	4	X
fcis-13128	106	2	.	.	X
fcis-13128	106	3	conclusion	conclusion	VERB
fcis-13128	106	4	the	the	DET
fcis-13128	106	5	application	application	NOUN
fcis-13128	106	6	of	of	ADP
fcis-13128	106	7	sam	sam	PROPN
fcis-13128	106	8	model	model	NOUN
fcis-13128	106	9	in	in	ADP
fcis-13128	106	10	multiple	multiple	ADJ
fcis-13128	106	11	fields	field	NOUN
fcis-13128	106	12	has	have	AUX
fcis-13128	106	13	demonstrated	demonstrate	VERB
fcis-13128	106	14	its	its	PRON
fcis-13128	106	15	potential	potential	NOUN
fcis-13128	106	16	and	and	CCONJ
fcis-13128	106	17	value	value	NOUN
fcis-13128	106	18	in	in	ADP
fcis-13128	106	19	image	image	NOUN
fcis-13128	106	20	segmentation	segmentation	NOUN
fcis-13128	106	21	,	,	PUNCT
fcis-13128	106	22	object	object	VERB
fcis-13128	106	23	detection	detection	NOUN
fcis-13128	106	24	,	,	PUNCT
fcis-13128	106	25	image	image	NOUN
fcis-13128	106	26	restoration	restoration	NOUN
fcis-13128	106	27	,	,	PUNCT
fcis-13128	106	28	as	as	ADV
fcis-13128	106	29	well	well	ADV
fcis-13128	106	30	as	as	ADP
fcis-13128	106	31	remote	remote	ADJ
fcis-13128	106	32	sensing	sensing	NOUN
fcis-13128	106	33	and	and	CCONJ
fcis-13128	106	34	medical	medical	ADJ
fcis-13128	106	35	fields	field	NOUN
fcis-13128	106	36	.	.	PUNCT
fcis-13128	107	1	in	in	ADP
fcis-13128	107	2	the	the	DET
fcis-13128	107	3	field	field	NOUN
fcis-13128	107	4	of	of	ADP
fcis-13128	107	5	image	image	NOUN
fcis-13128	107	6	segmentation	segmentation	NOUN
fcis-13128	107	7	,	,	PUNCT
fcis-13128	107	8	the	the	DET
fcis-13128	107	9	sam	sam	PROPN
fcis-13128	107	10	model	model	NOUN
fcis-13128	107	11	is	be	AUX
fcis-13128	107	12	not	not	PART
fcis-13128	107	13	only	only	ADV
fcis-13128	107	14	widely	widely	ADV
fcis-13128	107	15	used	use	VERB
fcis-13128	107	16	for	for	ADP
fcis-13128	107	17	different	different	ADJ
fcis-13128	107	18	tasks	task	NOUN
fcis-13128	107	19	,	,	PUNCT
fcis-13128	107	20	such	such	ADJ
fcis-13128	107	21	as	as	ADP
fcis-13128	107	22	medical	medical	ADJ
fcis-13128	107	23	image	image	NOUN
fcis-13128	107	24	segmentation	segmentation	NOUN
fcis-13128	107	25	,	,	PUNCT
fcis-13128	107	26	but	but	CCONJ
fcis-13128	107	27	also	also	ADV
fcis-13128	107	28	achieves	achieve	VERB
fcis-13128	107	29	significant	significant	ADJ
fcis-13128	107	30	performance	performance	NOUN
fcis-13128	107	31	improvement	improvement	NOUN
fcis-13128	107	32	by	by	ADP
fcis-13128	107	33	combining	combine	VERB
fcis-13128	107	34	domain	domain	NOUN
fcis-13128	107	35	specific	specific	ADJ
fcis-13128	107	36	knowledge	knowledge	NOUN
fcis-13128	107	37	and	and	CCONJ
fcis-13128	107	38	visual	visual	ADJ
fcis-13128	107	39	cues	cue	NOUN
fcis-13128	107	40	.	.	PUNCT
fcis-13128	108	1	in	in	ADP
fcis-13128	108	2	the	the	DET
fcis-13128	108	3	direction	direction	NOUN
fcis-13128	108	4	of	of	ADP
fcis-13128	108	5	object	object	NOUN
fcis-13128	108	6	detection	detection	NOUN
fcis-13128	108	7	,	,	PUNCT
fcis-13128	108	8	sam	sam	PROPN
fcis-13128	108	9	combined	combine	VERB
fcis-13128	108	10	with	with	ADP
fcis-13128	108	11	innovative	innovative	ADJ
fcis-13128	108	12	technologies	technology	NOUN
fcis-13128	108	13	has	have	AUX
fcis-13128	108	14	further	far	ADV
fcis-13128	108	15	expanded	expand	VERB
fcis-13128	108	16	the	the	DET
fcis-13128	108	17	research	research	NOUN
fcis-13128	108	18	on	on	ADP
fcis-13128	108	19	zero	zero	NUM
fcis-13128	108	20	sample	sample	NOUN
fcis-13128	108	21	rotation	rotation	NOUN
fcis-13128	108	22	object	object	NOUN
fcis-13128	108	23	detection	detection	NOUN
fcis-13128	108	24	and	and	CCONJ
fcis-13128	108	25	abnormal	abnormal	ADJ
fcis-13128	108	26	object	object	NOUN
fcis-13128	108	27	detection	detection	NOUN
fcis-13128	108	28	,	,	PUNCT
fcis-13128	108	29	providing	provide	VERB
fcis-13128	108	30	more	more	ADV
fcis-13128	108	31	powerful	powerful	ADJ
fcis-13128	108	32	solutions	solution	NOUN
fcis-13128	108	33	for	for	ADP
fcis-13128	108	34	these	these	DET
fcis-13128	108	35	fields	field	NOUN
fcis-13128	108	36	.	.	PUNCT
fcis-13128	109	1	in	in	ADP
fcis-13128	109	2	the	the	DET
fcis-13128	109	3	field	field	NOUN
fcis-13128	109	4	of	of	ADP
fcis-13128	109	5	image	image	NOUN
fcis-13128	109	6	restoration	restoration	NOUN
fcis-13128	109	7	,	,	PUNCT
fcis-13128	109	8	the	the	DET
fcis-13128	109	9	sam	sam	PROPN
fcis-13128	109	10	model	model	NOUN
fcis-13128	109	11	provides	provide	VERB
fcis-13128	109	12	the	the	DET
fcis-13128	109	13	foundation	foundation	NOUN
fcis-13128	109	14	for	for	ADP
fcis-13128	109	15	the	the	DET
fcis-13128	109	16	proposal	proposal	NOUN
fcis-13128	109	17	of	of	ADP
fcis-13128	109	18	the	the	DET
fcis-13128	109	19	"	"	PUNCT
fcis-13128	109	20	input	input	NOUN
fcis-13128	109	21	anything	anything	PRON
fcis-13128	109	22	"	"	PUNCT
fcis-13128	109	23	method	method	NOUN
fcis-13128	109	24	and	and	CCONJ
fcis-13128	109	25	opens	open	VERB
fcis-13128	109	26	a	a	DET
fcis-13128	109	27	new	new	ADJ
fcis-13128	109	28	paradigm	paradigm	NOUN
fcis-13128	109	29	for	for	ADP
fcis-13128	109	30	image	image	NOUN
fcis-13128	109	31	restoration	restoration	NOUN
fcis-13128	109	32	tasks	task	NOUN
fcis-13128	109	33	.	.	PUNCT
fcis-13128	110	1	moreover	moreover	ADV
fcis-13128	110	2	,	,	PUNCT
fcis-13128	110	3	the	the	DET
fcis-13128	110	4	application	application	NOUN
fcis-13128	110	5	of	of	ADP
fcis-13128	110	6	sam	sam	PROPN
fcis-13128	110	7	in	in	ADP
fcis-13128	110	8	the	the	DET
fcis-13128	110	9	field	field	NOUN
fcis-13128	110	10	of	of	ADP
fcis-13128	110	11	remote	remote	ADJ
fcis-13128	110	12	sensing	sensing	NOUN
fcis-13128	110	13	not	not	PART
fcis-13128	110	14	only	only	ADV
fcis-13128	110	15	improves	improve	VERB
fcis-13128	110	16	the	the	DET
fcis-13128	110	17	effectiveness	effectiveness	NOUN
fcis-13128	110	18	of	of	ADP
fcis-13128	110	19	remote	remote	ADJ
fcis-13128	110	20	sensing	sense	VERB
fcis-13128	110	21	image	image	NOUN
fcis-13128	110	22	segmentation	segmentation	NOUN
fcis-13128	110	23	by	by	ADP
fcis-13128	110	24	automatically	automatically	ADV
fcis-13128	110	25	generating	generate	VERB
fcis-13128	110	26	prompts	prompt	NOUN
fcis-13128	110	27	and	and	CCONJ
fcis-13128	110	28	constructing	construct	VERB
fcis-13128	110	29	datasets	dataset	NOUN
fcis-13128	110	30	suitable	suitable	ADJ
fcis-13128	110	31	for	for	ADP
fcis-13128	110	32	sam	sam	PROPN
fcis-13128	110	33	,	,	PUNCT
fcis-13128	110	34	but	but	CCONJ
fcis-13128	110	35	also	also	ADV
fcis-13128	110	36	provides	provide	VERB
fcis-13128	110	37	more	more	ADJ
fcis-13128	110	38	support	support	NOUN
fcis-13128	110	39	for	for	ADP
fcis-13128	110	40	research	research	NOUN
fcis-13128	110	41	in	in	ADP
fcis-13128	110	42	this	this	DET
fcis-13128	110	43	field	field	NOUN
fcis-13128	110	44	.	.	PUNCT
fcis-13128	111	1	in	in	ADP
fcis-13128	111	2	the	the	DET
fcis-13128	111	3	medical	medical	ADJ
fcis-13128	111	4	field	field	NOUN
fcis-13128	111	5	,	,	PUNCT
fcis-13128	111	6	the	the	DET
fcis-13128	111	7	application	application	NOUN
fcis-13128	111	8	of	of	ADP
fcis-13128	111	9	sam	sam	PROPN
fcis-13128	111	10	has	have	AUX
fcis-13128	111	11	shown	show	VERB
fcis-13128	111	12	complex	complex	ADJ
fcis-13128	111	13	effects	effect	NOUN
fcis-13128	111	14	,	,	PUNCT
fcis-13128	111	15	although	although	SCONJ
fcis-13128	111	16	it	it	PRON
fcis-13128	111	17	performs	perform	VERB
fcis-13128	111	18	well	well	ADV
fcis-13128	111	19	in	in	ADP
fcis-13128	111	20	some	some	DET
fcis-13128	111	21	cases	case	NOUN
fcis-13128	111	22	and	and	CCONJ
fcis-13128	111	23	may	may	AUX
fcis-13128	111	24	perform	perform	VERB
fcis-13128	111	25	mediocrely	mediocrely	ADV
fcis-13128	111	26	in	in	ADP
fcis-13128	111	27	other	other	ADJ
fcis-13128	111	28	data	datum	NOUN
fcis-13128	111	29	.	.	PUNCT
fcis-13128	112	1	however	however	ADV
fcis-13128	112	2	,	,	PUNCT
fcis-13128	112	3	through	through	ADP
fcis-13128	112	4	methods	method	NOUN
fcis-13128	112	5	such	such	ADJ
fcis-13128	112	6	as	as	ADP
fcis-13128	112	7	medsam	medsam	NOUN
fcis-13128	112	8	and	and	CCONJ
fcis-13128	112	9	medsam	medsam	NOUN
fcis-13128	112	10	adapter	adapter	PROPN
fcis-13128	112	11	,	,	PUNCT
fcis-13128	112	12	the	the	DET
fcis-13128	112	13	application	application	NOUN
fcis-13128	112	14	of	of	ADP
fcis-13128	112	15	sam	sam	PROPN
fcis-13128	112	16	in	in	ADP
fcis-13128	112	17	medical	medical	ADJ
fcis-13128	112	18	image	image	NOUN
fcis-13128	112	19	segmentation	segmentation	NOUN
fcis-13128	112	20	has	have	AUX
fcis-13128	112	21	been	be	AUX
fcis-13128	112	22	improved	improve	VERB
fcis-13128	112	23	,	,	PUNCT
fcis-13128	112	24	making	make	VERB
fcis-13128	112	25	positive	positive	ADJ
fcis-13128	112	26	contributions	contribution	NOUN
fcis-13128	112	27	to	to	ADP
fcis-13128	112	28	the	the	DET
fcis-13128	112	29	development	development	NOUN
fcis-13128	112	30	of	of	ADP
fcis-13128	112	31	medical	medical	ADJ
fcis-13128	112	32	diagnosis	diagnosis	NOUN
fcis-13128	112	33	and	and	CCONJ
fcis-13128	112	34	personalized	personalized	ADJ
fcis-13128	112	35	treatment	treatment	NOUN
fcis-13128	112	36	.	.	PUNCT
fcis-13128	113	1	in	in	ADP
fcis-13128	113	2	summary	summary	NOUN
fcis-13128	113	3	,	,	PUNCT
fcis-13128	113	4	the	the	DET
fcis-13128	113	5	widespread	widespread	ADJ
fcis-13128	113	6	application	application	NOUN
fcis-13128	113	7	of	of	ADP
fcis-13128	113	8	sam	sam	PROPN
fcis-13128	113	9	models	model	NOUN
fcis-13128	113	10	in	in	ADP
fcis-13128	113	11	multiple	multiple	ADJ
fcis-13128	113	12	fields	field	NOUN
fcis-13128	113	13	and	and	CCONJ
fcis-13128	113	14	their	their	PRON
fcis-13128	113	15	performance	performance	NOUN
fcis-13128	113	16	advantages	advantage	NOUN
fcis-13128	113	17	in	in	ADP
fcis-13128	113	18	different	different	ADJ
fcis-13128	113	19	tasks	task	NOUN
fcis-13128	113	20	highlight	highlight	VERB
fcis-13128	113	21	their	their	PRON
fcis-13128	113	22	important	important	ADJ
fcis-13128	113	23	role	role	NOUN
fcis-13128	113	24	in	in	ADP
fcis-13128	113	25	promoting	promote	VERB
fcis-13128	113	26	progress	progress	NOUN
fcis-13128	113	27	in	in	ADP
fcis-13128	113	28	the	the	DET
fcis-13128	113	29	field	field	NOUN
fcis-13128	113	30	of	of	ADP
fcis-13128	113	31	image	image	NOUN
fcis-13128	113	32	processing	processing	NOUN
fcis-13128	113	33	and	and	CCONJ
fcis-13128	113	34	analysis	analysis	NOUN
fcis-13128	113	35	.	.	PUNCT
fcis-13128	114	1	with	with	ADP
fcis-13128	114	2	further	further	ADJ
fcis-13128	114	3	research	research	NOUN
fcis-13128	114	4	and	and	CCONJ
fcis-13128	114	5	innovation	innovation	NOUN
fcis-13128	114	6	,	,	PUNCT
fcis-13128	114	7	we	we	PRON
fcis-13128	114	8	believe	believe	VERB
fcis-13128	114	9	that	that	SCONJ
fcis-13128	114	10	the	the	DET
fcis-13128	114	11	sam	sam	PROPN
fcis-13128	114	12	model	model	NOUN
fcis-13128	114	13	will	will	AUX
fcis-13128	114	14	continue	continue	VERB
fcis-13128	114	15	to	to	PART
fcis-13128	114	16	bring	bring	VERB
fcis-13128	114	17	more	more	ADJ
fcis-13128	114	18	possibilities	possibility	NOUN
fcis-13128	114	19	and	and	CCONJ
fcis-13128	114	20	opportunities	opportunity	NOUN
fcis-13128	114	21	to	to	ADP
fcis-13128	114	22	various	various	ADJ
fcis-13128	114	23	fields	field	NOUN
fcis-13128	114	24	.	.	PUNCT
fcis-13128	115	1	references	reference	NOUN
fcis-13128	115	2	[	[	X
fcis-13128	115	3	1	1	NUM
fcis-13128	115	4	]	]	PUNCT
fcis-13128	115	5	kirillov	kirillov	NOUN
fcis-13128	115	6	,	,	PUNCT
fcis-13128	115	7	a.	a.	NOUN
fcis-13128	115	8	,	,	PUNCT
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fcis-13128	115	10	,	,	PUNCT
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fcis-13128	115	12	,	,	PUNCT
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fcis-13128	115	14	,	,	PUNCT
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fcis-13128	115	16	,	,	PUNCT
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fcis-13128	115	19	.	.	PROPN
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fcis-13128	115	21	2023	2023	NUM
fcis-13128	115	22	)	)	PUNCT
fcis-13128	115	23	.	.	PUNCT
fcis-13128	116	1	segment	segment	NOUN
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fcis-13128	116	3	.	.	PUNCT
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fcis-13128	117	2	.	.	PUNCT
fcis-13128	118	1	https://doi.org/10.48550/arxiv.2304.02643	https://doi.org/10.48550/arxiv.2304.02643	PROPN
fcis-13128	118	2	.	.	PUNCT
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fcis-13128	119	3	]	]	X
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fcis-13128	119	5	,	,	PUNCT
fcis-13128	119	6	t.	t.	PROPN
fcis-13128	119	7	,	,	PUNCT
fcis-13128	119	8	zhu	zhu	PROPN
fcis-13128	119	9	,	,	PUNCT
fcis-13128	119	10	l.	l.	PROPN
fcis-13128	119	11	,	,	PUNCT
fcis-13128	119	12	ding	ding	PROPN
fcis-13128	119	13	,	,	PUNCT
fcis-13128	119	14	c.	c.	PROPN
fcis-13128	119	15	,	,	PUNCT
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fcis-13128	119	18	.	.	PROPN
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fcis-13128	119	20	2023	2023	NUM
fcis-13128	119	21	)	)	PUNCT
fcis-13128	119	22	.	.	PUNCT
fcis-13128	120	1	sam	sam	PROPN
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fcis-13128	120	6	?	?	PUNCT
fcis-13128	121	1	-sam	-sam	X
fcis-13128	121	2	-	-	PUNCT
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fcis-13128	121	4	:	:	PUNCT
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fcis-13128	121	6	sam	sam	PROPN
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fcis-13128	121	8	underperformed	underperformed	ADJ
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fcis-13128	121	10	:	:	PUNCT
fcis-13128	121	11	camouflage	camouflage	NOUN
fcis-13128	121	12	,	,	PUNCT
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fcis-13128	121	14	,	,	PUNCT
fcis-13128	121	15	medical	medical	ADJ
fcis-13128	121	16	image	image	NOUN
fcis-13128	121	17	segmentation	segmentation	NOUN
fcis-13128	121	18	,	,	PUNCT
fcis-13128	121	19	and	and	CCONJ
fcis-13128	121	20	more	more	ADJ
fcis-13128	121	21	.	.	PUNCT
fcis-13128	122	1	arxiv	arxiv	PROPN
fcis-13128	122	2	.	.	PUNCT
fcis-13128	123	1	https://doi	https://doi	PROPN
fcis-13128	123	2	.	.	PUNCT
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fcis-13128	124	2	.	.	PUNCT
fcis-13128	125	1	48550/	48550/	NUM
fcis-13128	125	2	arxiv.2304.09148	arxiv.2304.09148	NOUN
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fcis-13128	126	2	3	3	NUM
fcis-13128	126	3	]	]	X
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fcis-13128	126	5	,	,	PUNCT
fcis-13128	126	6	r.	r.	PROPN
fcis-13128	126	7	,	,	PUNCT
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fcis-13128	126	9	,	,	PUNCT
fcis-13128	126	10	z.	z.	PROPN
fcis-13128	126	11	,	,	PUNCT
fcis-13128	126	12	guo	guo	PROPN
fcis-13128	126	13	,	,	PUNCT
fcis-13128	126	14	z.	z.	PROPN
fcis-13128	126	15	,	,	PUNCT
fcis-13128	126	16	et	et	PROPN
fcis-13128	126	17	al	al	PROPN
fcis-13128	126	18	.	.	PROPN
fcis-13128	126	19	(	(	PUNCT
fcis-13128	126	20	2023	2023	NUM
fcis-13128	126	21	)	)	PUNCT
fcis-13128	126	22	.	.	PUNCT
fcis-13128	126	23	personalize	personalize	VERB
fcis-13128	126	24	segment	segment	NOUN
fcis-13128	126	25	anything	anything	PRON
fcis-13128	126	26	model	model	NOUN
fcis-13128	126	27	with	with	ADP
fcis-13128	126	28	one	one	NUM
fcis-13128	126	29	shot	shot	NOUN
fcis-13128	126	30	.	.	PUNCT
fcis-13128	127	1	arxiv	arxiv	PROPN
fcis-13128	127	2	.	.	PUNCT
fcis-13128	128	1	https://	https://	PROPN
fcis-13128	128	2	doi.org/	doi.org/	ADV
fcis-13128	128	3	10.48550	10.48550	NUM
fcis-13128	128	4	/	/	SYM
fcis-13128	128	5	arxiv.2305.03048	arxiv.2305.03048	NOUN
fcis-13128	128	6	.	.	PUNCT
fcis-13128	129	1	[	[	X
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fcis-13128	129	3	]	]	X
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fcis-13128	129	5	,	,	PUNCT
fcis-13128	129	6	s.	s.	PROPN
fcis-13128	129	7	,	,	PUNCT
fcis-13128	129	8	&	&	CCONJ
fcis-13128	129	9	tian	tian	PROPN
fcis-13128	129	10	,	,	PUNCT
fcis-13128	129	11	y.	y.	PROPN
fcis-13128	129	12	(	(	PUNCT
fcis-13128	129	13	2023	2023	NUM
fcis-13128	129	14	)	)	PUNCT
fcis-13128	129	15	.	.	PUNCT
fcis-13128	130	1	av	av	PROPN
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fcis-13128	130	3	sam	sam	PROPN
fcis-13128	130	4	:	:	PUNCT
fcis-13128	130	5	segment	segment	NOUN
fcis-13128	130	6	anything	anything	PRON
fcis-13128	130	7	model	model	NOUN
fcis-13128	130	8	meets	meet	VERB
fcis-13128	130	9	audio	audio	ADJ
fcis-13128	130	10	-	-	ADJ
fcis-13128	130	11	visual	visual	ADJ
fcis-13128	130	12	localization	localization	NOUN
fcis-13128	130	13	and	and	CCONJ
fcis-13128	130	14	segmentation	segmentation	NOUN
fcis-13128	130	15	.	.	PUNCT
fcis-13128	131	1	arxiv	arxiv	PROPN
fcis-13128	131	2	.	.	PUNCT
fcis-13128	132	1	https://doi.org/10.48550/arxiv.2305.01836	https://doi.org/10.48550/arxiv.2305.01836	NOUN
fcis-13128	132	2	.	.	PUNCT
fcis-13128	133	1	119	119	NUM
fcis-13128	134	1	[	[	X
fcis-13128	134	2	5	5	NUM
fcis-13128	134	3	]	]	X
fcis-13128	134	4	tariq	tariq	NOUN
fcis-13128	134	5	,	,	PUNCT
fcis-13128	134	6	s.	s.	PROPN
fcis-13128	134	7	,	,	PUNCT
fcis-13128	134	8	arfeto	arfeto	NOUN
fcis-13128	134	9	,	,	PUNCT
fcis-13128	134	10	b.	b.	PROPN
fcis-13128	134	11	e.	e.	PROPN
fcis-13128	134	12	,	,	PUNCT
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fcis-13128	134	14	,	,	PUNCT
fcis-13128	134	15	c.	c.	PROPN
fcis-13128	134	16	,	,	PUNCT
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fcis-13128	134	19	.	.	PROPN
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fcis-13128	135	2	2023	2023	NUM
fcis-13128	135	3	)	)	PUNCT
fcis-13128	135	4	.	.	PUNCT
fcis-13128	136	1	segment	segment	NOUN
fcis-13128	136	2	anything	anything	PRON
fcis-13128	136	3	meets	meet	VERB
fcis-13128	136	4	semantic	semantic	ADJ
fcis-13128	136	5	communication	communication	NOUN
fcis-13128	136	6	.	.	PUNCT
fcis-13128	137	1	arxiv	arxiv	PROPN
fcis-13128	137	2	.	.	PUNCT
fcis-13128	138	1	https://	https://	PROPN
fcis-13128	138	2	doi.org/	doi.org/	ADV
fcis-13128	138	3	10.48550	10.48550	NUM
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fcis-13128	138	5	arxiv.2306.02094	arxiv.2306.02094	NOUN
fcis-13128	138	6	.	.	PUNCT
fcis-13128	139	1	[	[	X
fcis-13128	139	2	6	6	NUM
fcis-13128	139	3	]	]	PUNCT
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fcis-13128	139	5	li	li	PROPN
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fcis-13128	139	9	sam	sam	NOUN
fcis-13128	139	10	-	-	PUNCT
fcis-13128	139	11	mmrotate	mmrotate	PROPN
fcis-13128	139	12	:	:	PUNCT
fcis-13128	139	13	sam	sam	PROPN
fcis-13128	139	14	(	(	PUNCT
fcis-13128	139	15	segment	segment	VERB
fcis-13128	139	16	anything	anything	PRON
fcis-13128	139	17	model	model	NOUN
fcis-13128	139	18	)	)	PUNCT
fcis-13128	139	19	for	for	ADP
fcis-13128	139	20	generating	generate	VERB
fcis-13128	139	21	rotated	rotate	VERB
fcis-13128	139	22	bounding	bounding	NOUN
fcis-13128	139	23	boxes	box	NOUN
fcis-13128	139	24	with	with	ADP
fcis-13128	139	25	mmrotate	mmrotate	ADJ
fcis-13128	139	26	,	,	PUNCT
fcis-13128	139	27	which	which	PRON
fcis-13128	139	28	is	be	AUX
fcis-13128	139	29	a	a	DET
fcis-13128	139	30	comparison	comparison	NOUN
fcis-13128	139	31	method	method	NOUN
fcis-13128	139	32	of	of	ADP
fcis-13128	139	33	h2rbox	h2rbox	NOUN
fcis-13128	139	34	-	-	PUNCT
fcis-13128	139	35	v2	v2	NOUN
fcis-13128	139	36	.	.	PUNCT
fcis-13128	139	37	(	(	PUNCT
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fcis-13128	139	39	)	)	PUNCT
fcis-13128	139	40	.	.	PUNCT
fcis-13128	140	1	retrieved	retrieve	VERB
fcis-13128	140	2	11	11	NUM
fcis-13128	140	3	august	august	PROPN
fcis-13128	140	4	2023	2023	NUM
fcis-13128	140	5	,	,	PUNCT
fcis-13128	140	6	from	from	ADP
fcis-13128	140	7	https://github.com/liqingyun/sam-mmrotate	https://github.com/liqingyun/sam-mmrotate	PROPN
fcis-13128	140	8	.	.	PUNCT
fcis-13128	141	1	[	[	X
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fcis-13128	141	5	,	,	PUNCT
fcis-13128	141	6	y.	y.	PROPN
fcis-13128	141	7	,	,	PUNCT
fcis-13128	141	8	xu	xu	PROPN
fcis-13128	141	9	,	,	PUNCT
fcis-13128	141	10	x.	x.	PROPN
fcis-13128	141	11	,	,	PUNCT
fcis-13128	141	12	sun	sun	PROPN
fcis-13128	141	13	,	,	PUNCT
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fcis-13128	141	19	(	(	PUNCT
fcis-13128	141	20	2023	2023	NUM
fcis-13128	141	21	)	)	PUNCT
fcis-13128	141	22	.	.	PUNCT
fcis-13128	142	1	segment	segment	NOUN
fcis-13128	142	2	any	any	DET
fcis-13128	142	3	anomaly	anomaly	NOUN
fcis-13128	142	4	without	without	ADP
fcis-13128	142	5	training	training	NOUN
fcis-13128	142	6	via	via	ADP
fcis-13128	142	7	hybrid	hybrid	ADJ
fcis-13128	142	8	prompt	prompt	ADJ
fcis-13128	142	9	regularization	regularization	NOUN
fcis-13128	142	10	.	.	PUNCT
fcis-13128	143	1	arxiv	arxiv	NOUN
fcis-13128	143	2	.	.	PUNCT
fcis-13128	144	1	https://doi.org/10.48550/arxiv.2305.10724	https://doi.org/10.48550/arxiv.2305.10724	PROPN
fcis-13128	144	2	.	.	PUNCT
fcis-13128	145	1	[	[	X
fcis-13128	145	2	8	8	NUM
fcis-13128	145	3	]	]	SYM
fcis-13128	145	4	yu	yu	PROPN
fcis-13128	145	5	,	,	PUNCT
fcis-13128	145	6	t.	t.	PROPN
fcis-13128	145	7	,	,	PUNCT
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fcis-13128	145	9	,	,	PUNCT
fcis-13128	145	10	r.	r.	PROPN
fcis-13128	145	11	,	,	PUNCT
fcis-13128	145	12	feng	feng	PROPN
fcis-13128	145	13	,	,	PUNCT
fcis-13128	145	14	r.	r.	PROPN
fcis-13128	145	15	,	,	PUNCT
fcis-13128	145	16	et	et	PROPN
fcis-13128	145	17	al	al	PROPN
fcis-13128	145	18	.	.	PROPN
fcis-13128	146	1	(	(	PUNCT
fcis-13128	146	2	2023	2023	NUM
fcis-13128	146	3	)	)	PUNCT
fcis-13128	146	4	.	.	PUNCT
fcis-13128	147	1	inpaint	inpaint	VERB
fcis-13128	147	2	anything	anything	PRON
fcis-13128	147	3	:	:	PUNCT
fcis-13128	147	4	segment	segment	NOUN
fcis-13128	147	5	anything	anything	PRON
fcis-13128	147	6	meets	meet	VERB
fcis-13128	147	7	image	image	NOUN
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fcis-13128	147	9	.	.	PUNCT
fcis-13128	148	1	arxiv	arxiv	PROPN
fcis-13128	148	2	.	.	PUNCT
fcis-13128	149	1	https://	https://	PROPN
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fcis-13128	149	6	.	.	PUNCT
fcis-13128	150	1	[	[	X
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fcis-13128	150	3	]	]	SYM
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fcis-13128	150	7	,	,	PUNCT
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fcis-13128	150	9	,	,	PUNCT
fcis-13128	150	10	c.	c.	PROPN
fcis-13128	150	11	,	,	PUNCT
fcis-13128	150	12	chen	chen	PROPN
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fcis-13128	151	16	.	.	PUNCT
fcis-13128	152	1	arxiv	arxiv	PROPN
fcis-13128	152	2	.	.	PUNCT
fcis-13128	153	1	https://doi.org/	https://doi.org/	PROPN
fcis-13128	153	2	10	10	NUM
fcis-13128	153	3	.	.	PUNCT
fcis-13128	154	1	48550	48550	NUM
fcis-13128	154	2	/	/	SYM
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fcis-13128	154	4	.	.	PUNCT
fcis-13128	155	1	[	[	X
fcis-13128	155	2	10	10	NUM
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fcis-13128	155	11	,	,	PUNCT
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fcis-13128	155	14	b.	b.	PROPN
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fcis-13128	155	19	(	(	PUNCT
fcis-13128	155	20	2023	2023	NUM
fcis-13128	155	21	)	)	PUNCT
fcis-13128	155	22	.	.	PUNCT
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fcis-13128	157	1	arxiv	arxiv	PROPN
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fcis-13128	158	2	.	.	PUNCT
fcis-13128	159	1	[	[	X
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fcis-13128	159	7	,	,	PUNCT
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fcis-13128	159	9	,	,	PUNCT
fcis-13128	159	10	r.	r.	PROPN
fcis-13128	159	11	,	,	PUNCT
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fcis-13128	166	6	.	.	PUNCT
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fcis-13128	167	3	.	.	PUNCT
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fcis-13128	169	24	.	.	PUNCT
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fcis-13128	170	22	.	.	PUNCT
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fcis-13128	172	5	.	.	PUNCT
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fcis-13128	174	4	.	.	PUNCT
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fcis-13128	176	1	arxiv	arxiv	PROPN
fcis-13128	176	2	.	.	PUNCT
fcis-13128	177	1	https://doi.org/	https://doi.org/	PROPN
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fcis-13128	177	4	.	.	PUNCT
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fcis-13128	178	2	.	.	PUNCT
fcis-13128	179	1	12306	12306	NUM
fcis-13128	179	2	.	.	PUNCT
fcis-13128	180	1	[	[	X
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fcis-13128	180	22	.	.	PUNCT
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fcis-13128	182	1	arxiv	arxiv	PROPN
fcis-13128	182	2	.	.	PUNCT
fcis-13128	183	1	https://doi.org/	https://doi.org/	PROPN
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fcis-13128	183	4	.	.	PUNCT
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