id	sid	tid	token	lemma	pos
ajst-5931	1	1	academic	academic	ADJ
ajst-5931	1	2	journal	journal	NOUN
ajst-5931	1	3	of	of	ADP
ajst-5931	1	4	science	science	NOUN
ajst-5931	1	5	and	and	CCONJ
ajst-5931	1	6	technology	technology	NOUN
ajst-5931	1	7	issn	issn	NOUN
ajst-5931	1	8	:	:	PUNCT
ajst-5931	1	9	2771	2771	NUM
ajst-5931	1	10	-	-	SYM
ajst-5931	1	11	3032	3032	NUM
ajst-5931	1	12	|	|	NOUN
ajst-5931	1	13	vol	vol	NOUN
ajst-5931	1	14	.	.	PROPN
ajst-5931	2	1	5	5	NUM
ajst-5931	2	2	,	,	PUNCT
ajst-5931	2	3	no	no	INTJ
ajst-5931	2	4	.	.	NOUN
ajst-5931	2	5	2	2	NUM
ajst-5931	2	6	,	,	PUNCT
ajst-5931	2	7	2023	2023	NUM
ajst-5931	2	8	35	35	NUM
ajst-5931	2	9	a	a	DET
ajst-5931	2	10	survey	survey	NOUN
ajst-5931	2	11	of	of	ADP
ajst-5931	2	12	crowd	crowd	NOUN
ajst-5931	2	13	counting	count	VERB
ajst-5931	2	14	algorithm	algorithm	NOUN
ajst-5931	2	15	based	base	VERB
ajst-5931	2	16	on	on	ADP
ajst-5931	2	17	domain	domain	NOUN
ajst-5931	2	18	adaptation	adaptation	NOUN
ajst-5931	2	19	yanan	yanan	PROPN
ajst-5931	2	20	wang1	wang1	PROPN
ajst-5931	2	21	,	,	PUNCT
ajst-5931	2	22	fen	fen	PROPN
ajst-5931	2	23	luo1	luo1	PROPN
ajst-5931	2	24	,	,	PUNCT
ajst-5931	2	25	*	*	PROPN
ajst-5931	2	26	1	1	NUM
ajst-5931	2	27	school	school	NOUN
ajst-5931	2	28	of	of	ADP
ajst-5931	2	29	software	software	NOUN
ajst-5931	2	30	,	,	PUNCT
ajst-5931	2	31	henan	henan	PROPN
ajst-5931	2	32	polytechnic	polytechnic	PROPN
ajst-5931	2	33	university	university	PROPN
ajst-5931	2	34	,	,	PUNCT
ajst-5931	2	35	china	china	PROPN
ajst-5931	2	36	*	*	PUNCT
ajst-5931	2	37	corresponding	correspond	VERB
ajst-5931	2	38	author	author	NOUN
ajst-5931	2	39	:	:	PUNCT
ajst-5931	2	40	fen	fen	PROPN
ajst-5931	2	41	luo	luo	PROPN
ajst-5931	2	42	(	(	PUNCT
ajst-5931	2	43	email	email	NOUN
ajst-5931	2	44	:	:	PUNCT
ajst-5931	2	45	luofenjsj@hpu.edu.cn	luofenjsj@hpu.edu.cn	ADJ
ajst-5931	2	46	)	)	PUNCT
ajst-5931	2	47	abstract	abstract	NOUN
ajst-5931	2	48	:	:	PUNCT
ajst-5931	2	49	crowd	crowd	NOUN
ajst-5931	2	50	counting	counting	NOUN
ajst-5931	2	51	,	,	PUNCT
ajst-5931	2	52	the	the	DET
ajst-5931	2	53	task	task	NOUN
ajst-5931	2	54	of	of	ADP
ajst-5931	2	55	estimating	estimate	VERB
ajst-5931	2	56	the	the	DET
ajst-5931	2	57	number	number	NOUN
ajst-5931	2	58	of	of	ADP
ajst-5931	2	59	individuals	individual	NOUN
ajst-5931	2	60	in	in	ADP
ajst-5931	2	61	a	a	DET
ajst-5931	2	62	crowded	crowded	ADJ
ajst-5931	2	63	scene	scene	NOUN
ajst-5931	2	64	,	,	PUNCT
ajst-5931	2	65	has	have	AUX
ajst-5931	2	66	gained	gain	VERB
ajst-5931	2	67	increasing	increase	VERB
ajst-5931	2	68	attention	attention	NOUN
ajst-5931	2	69	in	in	ADP
ajst-5931	2	70	computer	computer	NOUN
ajst-5931	2	71	vision	vision	NOUN
ajst-5931	2	72	research	research	NOUN
ajst-5931	2	73	.	.	PUNCT
ajst-5931	3	1	however	however	ADV
ajst-5931	3	2	,	,	PUNCT
ajst-5931	3	3	crowd	crowd	NOUN
ajst-5931	3	4	counting	counting	NOUN
ajst-5931	3	5	remains	remain	VERB
ajst-5931	3	6	a	a	DET
ajst-5931	3	7	challenging	challenging	ADJ
ajst-5931	3	8	problem	problem	NOUN
ajst-5931	3	9	due	due	ADP
ajst-5931	3	10	to	to	ADP
ajst-5931	3	11	the	the	DET
ajst-5931	3	12	complex	complex	ADJ
ajst-5931	3	13	and	and	CCONJ
ajst-5931	3	14	diverse	diverse	ADJ
ajst-5931	3	15	nature	nature	NOUN
ajst-5931	3	16	of	of	ADP
ajst-5931	3	17	crowd	crowd	NOUN
ajst-5931	3	18	scenes	scene	NOUN
ajst-5931	3	19	.	.	PUNCT
ajst-5931	4	1	in	in	ADP
ajst-5931	4	2	recent	recent	ADJ
ajst-5931	4	3	years	year	NOUN
ajst-5931	4	4	,	,	PUNCT
ajst-5931	4	5	domain	domain	NOUN
ajst-5931	4	6	adaptation	adaptation	NOUN
ajst-5931	4	7	has	have	AUX
ajst-5931	4	8	emerged	emerge	VERB
ajst-5931	4	9	as	as	ADP
ajst-5931	4	10	a	a	DET
ajst-5931	4	11	promising	promising	ADJ
ajst-5931	4	12	approach	approach	NOUN
ajst-5931	4	13	to	to	PART
ajst-5931	4	14	improve	improve	VERB
ajst-5931	4	15	crowd	crowd	NOUN
ajst-5931	4	16	counting	count	VERB
ajst-5931	4	17	performance	performance	NOUN
ajst-5931	4	18	by	by	ADP
ajst-5931	4	19	adapting	adapt	VERB
ajst-5931	4	20	a	a	DET
ajst-5931	4	21	pre	pre	ADJ
ajst-5931	4	22	-	-	ADJ
ajst-5931	4	23	trained	train	VERB
ajst-5931	4	24	model	model	NOUN
ajst-5931	4	25	to	to	ADP
ajst-5931	4	26	a	a	DET
ajst-5931	4	27	target	target	NOUN
ajst-5931	4	28	domain	domain	NOUN
ajst-5931	4	29	with	with	ADP
ajst-5931	4	30	different	different	ADJ
ajst-5931	4	31	characteristics	characteristic	NOUN
ajst-5931	4	32	.	.	PUNCT
ajst-5931	5	1	this	this	DET
ajst-5931	5	2	paper	paper	NOUN
ajst-5931	5	3	provides	provide	VERB
ajst-5931	5	4	a	a	DET
ajst-5931	5	5	survey	survey	NOUN
ajst-5931	5	6	of	of	ADP
ajst-5931	5	7	domain	domain	NOUN
ajst-5931	5	8	adaptation	adaptation	NOUN
ajst-5931	5	9	-	-	PUNCT
ajst-5931	5	10	based	base	VERB
ajst-5931	5	11	crowd	crowd	NOUN
ajst-5931	5	12	counting	count	VERB
ajst-5931	5	13	algorithms	algorithm	NOUN
ajst-5931	5	14	,	,	PUNCT
ajst-5931	5	15	including	include	VERB
ajst-5931	5	16	their	their	PRON
ajst-5931	5	17	methods	method	NOUN
ajst-5931	5	18	,	,	PUNCT
ajst-5931	5	19	datasets	dataset	NOUN
ajst-5931	5	20	,	,	PUNCT
ajst-5931	5	21	and	and	CCONJ
ajst-5931	5	22	evaluation	evaluation	NOUN
ajst-5931	5	23	metrics	metric	NOUN
ajst-5931	5	24	.	.	PUNCT
ajst-5931	6	1	overall	overall	ADJ
ajst-5931	6	2	,	,	PUNCT
ajst-5931	6	3	domain	domain	NOUN
ajst-5931	6	4	adaptation	adaptation	NOUN
ajst-5931	6	5	shows	show	VERB
ajst-5931	6	6	great	great	ADJ
ajst-5931	6	7	potential	potential	NOUN
ajst-5931	6	8	in	in	ADP
ajst-5931	6	9	improving	improve	VERB
ajst-5931	6	10	the	the	DET
ajst-5931	6	11	accuracy	accuracy	NOUN
ajst-5931	6	12	and	and	CCONJ
ajst-5931	6	13	robustness	robustness	NOUN
ajst-5931	6	14	of	of	ADP
ajst-5931	6	15	crowd	crowd	NOUN
ajst-5931	6	16	counting	count	VERB
ajst-5931	6	17	algorithms	algorithm	NOUN
ajst-5931	6	18	,	,	PUNCT
ajst-5931	6	19	and	and	CCONJ
ajst-5931	6	20	further	further	ADJ
ajst-5931	6	21	research	research	NOUN
ajst-5931	6	22	in	in	ADP
ajst-5931	6	23	this	this	DET
ajst-5931	6	24	direction	direction	NOUN
ajst-5931	6	25	is	be	AUX
ajst-5931	6	26	expected	expect	VERB
ajst-5931	6	27	to	to	PART
ajst-5931	6	28	lead	lead	VERB
ajst-5931	6	29	to	to	ADP
ajst-5931	6	30	more	more	ADV
ajst-5931	6	31	effective	effective	ADJ
ajst-5931	6	32	and	and	CCONJ
ajst-5931	6	33	practical	practical	ADJ
ajst-5931	6	34	crowd	crowd	NOUN
ajst-5931	6	35	counting	count	VERB
ajst-5931	6	36	solutions	solution	NOUN
ajst-5931	6	37	.	.	PUNCT
ajst-5931	7	1	keywords	keyword	NOUN
ajst-5931	7	2	:	:	PUNCT
ajst-5931	7	3	crowd	crowd	NOUN
ajst-5931	7	4	counting	counting	NOUN
ajst-5931	7	5	,	,	PUNCT
ajst-5931	7	6	domain	domain	NOUN
ajst-5931	7	7	adaptation	adaptation	NOUN
ajst-5931	7	8	.	.	PUNCT
ajst-5931	8	1	1	1	X
ajst-5931	8	2	.	.	X
ajst-5931	8	3	introduction	introduction	NOUN
ajst-5931	8	4	with	with	ADP
ajst-5931	8	5	the	the	DET
ajst-5931	8	6	accelerating	accelerate	VERB
ajst-5931	8	7	urbanization	urbanization	NOUN
ajst-5931	8	8	and	and	CCONJ
ajst-5931	8	9	continuous	continuous	ADJ
ajst-5931	8	10	population	population	NOUN
ajst-5931	8	11	growth	growth	NOUN
ajst-5931	8	12	,	,	PUNCT
ajst-5931	8	13	the	the	DET
ajst-5931	8	14	problem	problem	NOUN
ajst-5931	8	15	of	of	ADP
ajst-5931	8	16	crowd	crowd	NOUN
ajst-5931	8	17	counting	counting	NOUN
ajst-5931	8	18	has	have	AUX
ajst-5931	8	19	become	become	VERB
ajst-5931	8	20	a	a	DET
ajst-5931	8	21	widely	widely	ADV
ajst-5931	8	22	researched	research	VERB
ajst-5931	8	23	area	area	NOUN
ajst-5931	8	24	.	.	PUNCT
ajst-5931	9	1	traditional	traditional	ADJ
ajst-5931	9	2	crowd	crowd	NOUN
ajst-5931	9	3	counting	counting	NOUN
ajst-5931	9	4	methods	method	NOUN
ajst-5931	9	5	mainly	mainly	ADV
ajst-5931	9	6	rely	rely	VERB
ajst-5931	9	7	on	on	ADP
ajst-5931	9	8	manually	manually	ADV
ajst-5931	9	9	designed	design	VERB
ajst-5931	9	10	features	feature	NOUN
ajst-5931	9	11	and	and	CCONJ
ajst-5931	9	12	models	model	NOUN
ajst-5931	9	13	,	,	PUNCT
ajst-5931	9	14	which	which	PRON
ajst-5931	9	15	often	often	ADV
ajst-5931	9	16	fail	fail	VERB
ajst-5931	9	17	to	to	PART
ajst-5931	9	18	adapt	adapt	VERB
ajst-5931	9	19	to	to	ADP
ajst-5931	9	20	the	the	DET
ajst-5931	9	21	changes	change	NOUN
ajst-5931	9	22	and	and	CCONJ
ajst-5931	9	23	complexities	complexity	NOUN
ajst-5931	9	24	of	of	ADP
ajst-5931	9	25	different	different	ADJ
ajst-5931	9	26	scenarios	scenario	NOUN
ajst-5931	9	27	,	,	PUNCT
ajst-5931	9	28	resulting	result	VERB
ajst-5931	9	29	in	in	ADP
ajst-5931	9	30	low	low	ADJ
ajst-5931	9	31	counting	counting	NOUN
ajst-5931	9	32	accuracy	accuracy	NOUN
ajst-5931	9	33	.	.	PUNCT
ajst-5931	10	1	therefore	therefore	ADV
ajst-5931	10	2	,	,	PUNCT
ajst-5931	10	3	crowd	crowd	NOUN
ajst-5931	10	4	counting	count	VERB
ajst-5931	10	5	methods	method	NOUN
ajst-5931	10	6	based	base	VERB
ajst-5931	10	7	on	on	ADP
ajst-5931	10	8	deep	deep	ADJ
ajst-5931	10	9	learning	learning	NOUN
ajst-5931	10	10	have	have	AUX
ajst-5931	10	11	been	be	AUX
ajst-5931	10	12	widely	widely	ADV
ajst-5931	10	13	applied	apply	VERB
ajst-5931	10	14	,	,	PUNCT
ajst-5931	10	15	achieving	achieve	VERB
ajst-5931	10	16	excellent	excellent	ADJ
ajst-5931	10	17	results	result	NOUN
ajst-5931	10	18	by	by	ADP
ajst-5931	10	19	learning	learn	VERB
ajst-5931	10	20	more	more	ADV
ajst-5931	10	21	effective	effective	ADJ
ajst-5931	10	22	feature	feature	NOUN
ajst-5931	10	23	representations	representation	NOUN
ajst-5931	10	24	and	and	CCONJ
ajst-5931	10	25	building	build	VERB
ajst-5931	10	26	more	more	ADV
ajst-5931	10	27	accurate	accurate	ADJ
ajst-5931	10	28	models	model	NOUN
ajst-5931	10	29	.	.	PUNCT
ajst-5931	11	1	however	however	ADV
ajst-5931	11	2	,	,	PUNCT
ajst-5931	11	3	in	in	ADP
ajst-5931	11	4	practical	practical	ADJ
ajst-5931	11	5	applications	application	NOUN
ajst-5931	11	6	,	,	PUNCT
ajst-5931	11	7	factors	factor	NOUN
ajst-5931	11	8	such	such	ADJ
ajst-5931	11	9	as	as	ADP
ajst-5931	11	10	differences	difference	NOUN
ajst-5931	11	11	between	between	ADP
ajst-5931	11	12	different	different	ADJ
ajst-5931	11	13	scenarios	scenario	NOUN
ajst-5931	11	14	,	,	PUNCT
ajst-5931	11	15	distribution	distribution	NOUN
ajst-5931	11	16	differences	difference	NOUN
ajst-5931	11	17	between	between	ADP
ajst-5931	11	18	different	different	ADJ
ajst-5931	11	19	datasets	dataset	NOUN
ajst-5931	11	20	,	,	PUNCT
ajst-5931	11	21	etc	etc	X
ajst-5931	11	22	.	.	X
ajst-5931	11	23	,	,	PUNCT
ajst-5931	11	24	may	may	AUX
ajst-5931	11	25	lead	lead	VERB
ajst-5931	11	26	to	to	ADP
ajst-5931	11	27	a	a	DET
ajst-5931	11	28	decrease	decrease	NOUN
ajst-5931	11	29	in	in	ADP
ajst-5931	11	30	model	model	NOUN
ajst-5931	11	31	performance	performance	NOUN
ajst-5931	11	32	,	,	PUNCT
ajst-5931	11	33	which	which	PRON
ajst-5931	11	34	requires	require	VERB
ajst-5931	11	35	domain	domain	NOUN
ajst-5931	11	36	adaptation	adaptation	NOUN
ajst-5931	11	37	.	.	PUNCT
ajst-5931	12	1	domain	domain	NOUN
ajst-5931	12	2	adaptation	adaptation	NOUN
ajst-5931	12	3	is	be	AUX
ajst-5931	12	4	a	a	DET
ajst-5931	12	5	method	method	NOUN
ajst-5931	12	6	of	of	ADP
ajst-5931	12	7	transferring	transfer	VERB
ajst-5931	12	8	knowledge	knowledge	NOUN
ajst-5931	12	9	learned	learn	VERB
ajst-5931	12	10	in	in	ADP
ajst-5931	12	11	the	the	DET
ajst-5931	12	12	source	source	NOUN
ajst-5931	12	13	domain	domain	NOUN
ajst-5931	12	14	to	to	ADP
ajst-5931	12	15	the	the	DET
ajst-5931	12	16	target	target	NOUN
ajst-5931	12	17	domain	domain	NOUN
ajst-5931	12	18	,	,	PUNCT
ajst-5931	12	19	improving	improve	VERB
ajst-5931	12	20	the	the	DET
ajst-5931	12	21	generalization	generalization	NOUN
ajst-5931	12	22	performance	performance	NOUN
ajst-5931	12	23	of	of	ADP
ajst-5931	12	24	the	the	DET
ajst-5931	12	25	model	model	NOUN
ajst-5931	12	26	by	by	ADP
ajst-5931	12	27	solving	solve	VERB
ajst-5931	12	28	domain	domain	NOUN
ajst-5931	12	29	differences	difference	NOUN
ajst-5931	12	30	.	.	PUNCT
ajst-5931	13	1	therefore	therefore	ADV
ajst-5931	13	2	,	,	PUNCT
ajst-5931	13	3	this	this	DET
ajst-5931	13	4	paper	paper	NOUN
ajst-5931	13	5	mainly	mainly	ADV
ajst-5931	13	6	reviews	review	VERB
ajst-5931	13	7	the	the	DET
ajst-5931	13	8	research	research	NOUN
ajst-5931	13	9	status	status	NOUN
ajst-5931	13	10	and	and	CCONJ
ajst-5931	13	11	development	development	NOUN
ajst-5931	13	12	trends	trend	NOUN
ajst-5931	13	13	of	of	ADP
ajst-5931	13	14	crowd	crowd	NOUN
ajst-5931	13	15	counting	count	VERB
ajst-5931	13	16	algorithms	algorithm	NOUN
ajst-5931	13	17	based	base	VERB
ajst-5931	13	18	on	on	ADP
ajst-5931	13	19	domain	domain	NOUN
ajst-5931	13	20	adaptation	adaptation	NOUN
ajst-5931	13	21	.	.	PUNCT
ajst-5931	14	1	this	this	DET
ajst-5931	14	2	paper	paper	NOUN
ajst-5931	14	3	categorizes	categorize	VERB
ajst-5931	14	4	domainadaptive	domainadaptive	NOUN
ajst-5931	14	5	crowd	crowd	NOUN
ajst-5931	14	6	counting	counting	NOUN
ajst-5931	14	7	methods	method	NOUN
ajst-5931	14	8	into	into	ADP
ajst-5931	14	9	two	two	NUM
ajst-5931	14	10	types	type	NOUN
ajst-5931	14	11	:	:	PUNCT
ajst-5931	14	12	one	one	NUM
ajst-5931	14	13	based	base	VERB
ajst-5931	14	14	on	on	ADP
ajst-5931	14	15	distribution	distribution	NOUN
ajst-5931	14	16	strategy	strategy	NOUN
ajst-5931	14	17	framework	framework	NOUN
ajst-5931	14	18	,	,	PUNCT
ajst-5931	14	19	and	and	CCONJ
ajst-5931	14	20	the	the	DET
ajst-5931	14	21	other	other	ADJ
ajst-5931	14	22	based	base	VERB
ajst-5931	14	23	on	on	ADP
ajst-5931	14	24	image	image	NOUN
ajst-5931	14	25	transformation	transformation	NOUN
ajst-5931	14	26	strategy	strategy	NOUN
ajst-5931	14	27	framework	framework	NOUN
ajst-5931	14	28	.	.	PUNCT
ajst-5931	15	1	firstly	firstly	ADV
ajst-5931	15	2	,	,	PUNCT
ajst-5931	15	3	the	the	DET
ajst-5931	15	4	two	two	NUM
ajst-5931	15	5	methods	method	NOUN
ajst-5931	15	6	are	be	AUX
ajst-5931	15	7	briefly	briefly	ADV
ajst-5931	15	8	introduced	introduce	VERB
ajst-5931	15	9	,	,	PUNCT
ajst-5931	15	10	then	then	ADV
ajst-5931	15	11	the	the	DET
ajst-5931	15	12	commonly	commonly	ADV
ajst-5931	15	13	used	use	VERB
ajst-5931	15	14	datasets	dataset	NOUN
ajst-5931	15	15	and	and	CCONJ
ajst-5931	15	16	evaluation	evaluation	NOUN
ajst-5931	15	17	indicators	indicator	NOUN
ajst-5931	15	18	in	in	ADP
ajst-5931	15	19	population	population	NOUN
ajst-5931	15	20	counting	counting	NOUN
ajst-5931	15	21	are	be	AUX
ajst-5931	15	22	introduced	introduce	VERB
ajst-5931	15	23	,	,	PUNCT
ajst-5931	15	24	and	and	CCONJ
ajst-5931	15	25	finally	finally	ADV
ajst-5931	15	26	,	,	PUNCT
ajst-5931	15	27	the	the	DET
ajst-5931	15	28	development	development	NOUN
ajst-5931	15	29	direction	direction	NOUN
ajst-5931	15	30	of	of	ADP
ajst-5931	15	31	population	population	NOUN
ajst-5931	15	32	counting	counting	NOUN
ajst-5931	15	33	based	base	VERB
ajst-5931	15	34	on	on	ADP
ajst-5931	15	35	domain	domain	NOUN
ajst-5931	15	36	adaptation	adaptation	NOUN
ajst-5931	15	37	is	be	AUX
ajst-5931	15	38	reasonably	reasonably	ADV
ajst-5931	15	39	predicted	predict	VERB
ajst-5931	15	40	.	.	PUNCT
ajst-5931	16	1	2	2	X
ajst-5931	16	2	.	.	X
ajst-5931	16	3	methods	method	NOUN
ajst-5931	16	4	2.1	2.1	NUM
ajst-5931	16	5	.	.	PUNCT
ajst-5931	17	1	methods	method	NOUN
ajst-5931	17	2	based	base	VERB
ajst-5931	17	3	on	on	ADP
ajst-5931	17	4	the	the	DET
ajst-5931	17	5	distribution	distribution	NOUN
ajst-5931	17	6	strategy	strategy	NOUN
ajst-5931	17	7	the	the	DET
ajst-5931	17	8	first	first	ADJ
ajst-5931	17	9	type	type	NOUN
ajst-5931	17	10	of	of	ADP
ajst-5931	17	11	distribution	distribution	NOUN
ajst-5931	17	12	strategy	strategy	NOUN
ajst-5931	17	13	-	-	PUNCT
ajst-5931	17	14	based	base	VERB
ajst-5931	17	15	framework	framework	NOUN
ajst-5931	17	16	mainly	mainly	ADV
ajst-5931	17	17	uses	use	VERB
ajst-5931	17	18	discriminators	discriminator	NOUN
ajst-5931	17	19	to	to	PART
ajst-5931	17	20	distinguish	distinguish	VERB
ajst-5931	17	21	the	the	DET
ajst-5931	17	22	density	density	NOUN
ajst-5931	17	23	maps	map	NOUN
ajst-5931	17	24	generated	generate	VERB
ajst-5931	17	25	from	from	ADP
ajst-5931	17	26	the	the	DET
ajst-5931	17	27	source	source	NOUN
ajst-5931	17	28	and	and	CCONJ
ajst-5931	17	29	target	target	NOUN
ajst-5931	17	30	domain	domain	NOUN
ajst-5931	17	31	images	image	NOUN
ajst-5931	17	32	to	to	PART
ajst-5931	17	33	align	align	VERB
ajst-5931	17	34	the	the	DET
ajst-5931	17	35	data	datum	NOUN
ajst-5931	17	36	distribution	distribution	NOUN
ajst-5931	17	37	.	.	PUNCT
ajst-5931	18	1	wang	wang	PROPN
ajst-5931	18	2	et	et	PROPN
ajst-5931	18	3	al	al	PROPN
ajst-5931	18	4	.	.	PUNCT
ajst-5931	19	1	[	[	X
ajst-5931	19	2	1	1	X
ajst-5931	19	3	]	]	PUNCT
ajst-5931	19	4	proposed	propose	VERB
ajst-5931	19	5	an	an	DET
ajst-5931	19	6	adversarial	adversarial	ADJ
ajst-5931	19	7	learning	learning	NOUN
ajst-5931	19	8	method	method	NOUN
ajst-5931	19	9	,	,	PUNCT
ajst-5931	19	10	namely	namely	ADV
ajst-5931	19	11	coda	coda	NOUN
ajst-5931	19	12	(	(	PUNCT
ajst-5931	19	13	adaptation	adaptation	NOUN
ajst-5931	19	14	to	to	ADP
ajst-5931	19	15	counting	count	VERB
ajst-5931	19	16	objects	object	NOUN
ajst-5931	19	17	through	through	ADP
ajst-5931	19	18	scaleperceived	scaleperceive	VERB
ajst-5931	19	19	adversarial	adversarial	ADJ
ajst-5931	19	20	density	density	NOUN
ajst-5931	19	21	)	)	PUNCT
ajst-5931	19	22	.	.	PUNCT
ajst-5931	20	1	to	to	PART
ajst-5931	20	2	handle	handle	VERB
ajst-5931	20	3	different	different	ADJ
ajst-5931	20	4	target	target	NOUN
ajst-5931	20	5	scales	scale	NOUN
ajst-5931	20	6	and	and	CCONJ
ajst-5931	20	7	density	density	NOUN
ajst-5931	20	8	distributions	distribution	NOUN
ajst-5931	20	9	,	,	PUNCT
ajst-5931	20	10	through	through	ADP
ajst-5931	20	11	adversarial	adversarial	ADJ
ajst-5931	20	12	training	training	NOUN
ajst-5931	20	13	by	by	ADP
ajst-5931	20	14	adapting	adapt	VERB
ajst-5931	20	15	multi	multi	ADJ
ajst-5931	20	16	-	-	ADJ
ajst-5931	20	17	scale	scale	ADJ
ajst-5931	20	18	pyramid	pyramid	NOUN
ajst-5931	20	19	pyramid	pyramid	NOUN
ajst-5931	20	20	patches	patch	VERB
ajst-5931	20	21	from	from	ADP
ajst-5931	20	22	the	the	DET
ajst-5931	20	23	source	source	NOUN
ajst-5931	20	24	and	and	CCONJ
ajst-5931	20	25	target	target	NOUN
ajst-5931	20	26	domain	domain	NOUN
ajst-5931	20	27	,	,	PUNCT
ajst-5931	20	28	consistent	consistent	ADJ
ajst-5931	20	29	count	count	NOUN
ajst-5931	20	30	objects	object	NOUN
ajst-5931	20	31	can	can	AUX
ajst-5931	20	32	be	be	AUX
ajst-5931	20	33	produced	produce	VERB
ajst-5931	20	34	for	for	ADP
ajst-5931	20	35	different	different	ADJ
ajst-5931	20	36	scales	scale	NOUN
ajst-5931	20	37	along	along	ADV
ajst-5931	20	38	with	with	ADP
ajst-5931	20	39	the	the	DET
ajst-5931	20	40	ranking	rank	VERB
ajst-5931	20	41	constraints	constraint	NOUN
ajst-5931	20	42	of	of	ADP
ajst-5931	20	43	the	the	DET
ajst-5931	20	44	pyramid	pyramid	NOUN
ajst-5931	20	45	input	input	NOUN
ajst-5931	20	46	level	level	NOUN
ajst-5931	20	47	.	.	PUNCT
ajst-5931	21	1	yan	yan	PROPN
ajst-5931	21	2	et	et	PROPN
ajst-5931	21	3	al	al	PROPN
ajst-5931	21	4	.	.	PUNCT
ajst-5931	22	1	[	[	X
ajst-5931	22	2	2	2	X
ajst-5931	22	3	]	]	PUNCT
ajst-5931	22	4	solves	solve	VERB
ajst-5931	22	5	the	the	DET
ajst-5931	22	6	problem	problem	NOUN
ajst-5931	22	7	of	of	ADP
ajst-5931	22	8	domain	domain	NOUN
ajst-5931	22	9	shift	shift	NOUN
ajst-5931	22	10	by	by	ADP
ajst-5931	22	11	training	training	NOUN
ajst-5931	22	12	using	use	VERB
ajst-5931	22	13	synthetic	synthetic	ADJ
ajst-5931	22	14	images	image	NOUN
ajst-5931	22	15	and	and	CCONJ
ajst-5931	22	16	their	their	PRON
ajst-5931	22	17	associated	associated	ADJ
ajst-5931	22	18	labels	label	NOUN
ajst-5931	22	19	and	and	CCONJ
ajst-5931	22	20	unlabeled	unlabele	VERB
ajst-5931	22	21	real	real	ADJ
ajst-5931	22	22	images	image	NOUN
ajst-5931	22	23	,	,	PUNCT
ajst-5931	22	24	so	so	SCONJ
ajst-5931	22	25	that	that	SCONJ
ajst-5931	22	26	it	it	PRON
ajst-5931	22	27	can	can	AUX
ajst-5931	22	28	be	be	AUX
ajst-5931	22	29	born	bear	VERB
ajst-5931	22	30	as	as	ADP
ajst-5931	22	31	a	a	DET
ajst-5931	22	32	label	label	NOUN
ajst-5931	22	33	for	for	ADP
ajst-5931	22	34	the	the	DET
ajst-5931	22	35	purpose	purpose	NOUN
ajst-5931	22	36	of	of	ADP
ajst-5931	22	37	fine	fine	ADV
ajst-5931	22	38	-	-	PUNCT
ajst-5931	22	39	tuning	tune	VERB
ajst-5931	22	40	the	the	DET
ajst-5931	22	41	network	network	NOUN
ajst-5931	22	42	.	.	PUNCT
ajst-5931	23	1	zou	zou	PROPN
ajst-5931	23	2	et	et	PROPN
ajst-5931	23	3	al	al	PROPN
ajst-5931	23	4	.	.	PUNCT
ajst-5931	24	1	[	[	X
ajst-5931	24	2	3	3	X
ajst-5931	24	3	]	]	PUNCT
ajst-5931	24	4	proposed	propose	VERB
ajst-5931	24	5	an	an	DET
ajst-5931	24	6	adversarial	adversarial	ADJ
ajst-5931	24	7	scoring	scoring	NOUN
ajst-5931	24	8	network	network	NOUN
ajst-5931	24	9	(	(	PUNCT
ajst-5931	24	10	asnet	asnet	PROPN
ajst-5931	24	11	)	)	PUNCT
ajst-5931	24	12	that	that	PRON
ajst-5931	24	13	gradually	gradually	ADV
ajst-5931	24	14	closes	close	VERB
ajst-5931	24	15	the	the	DET
ajst-5931	24	16	cross	cross	ADJ
ajst-5931	24	17	-	-	ADJ
ajst-5931	24	18	domain	domain	ADJ
ajst-5931	24	19	gap	gap	NOUN
ajst-5931	24	20	from	from	ADP
ajst-5931	24	21	coarse	coarse	NOUN
ajst-5931	24	22	-	-	PUNCT
ajst-5931	24	23	to	to	ADP
ajst-5931	24	24	fine	fine	ADV
ajst-5931	24	25	-	-	PUNCT
ajst-5931	24	26	grained	grain	VERB
ajst-5931	24	27	.	.	PUNCT
ajst-5931	25	1	the	the	DET
ajst-5931	25	2	coarse	coarse	ADV
ajst-5931	25	3	-	-	PUNCT
ajst-5931	25	4	grained	grain	VERB
ajst-5931	25	5	phase	phase	NOUN
ajst-5931	25	6	designs	design	VERB
ajst-5931	25	7	a	a	DET
ajst-5931	25	8	dual	dual	ADJ
ajst-5931	25	9	discriminator	discriminator	NOUN
ajst-5931	25	10	strategy	strategy	NOUN
ajst-5931	25	11	to	to	PART
ajst-5931	25	12	adapt	adapt	VERB
ajst-5931	25	13	the	the	DET
ajst-5931	25	14	source	source	NOUN
ajst-5931	25	15	domain	domain	NOUN
ajst-5931	25	16	from	from	ADP
ajst-5931	25	17	the	the	DET
ajst-5931	25	18	global	global	ADJ
ajst-5931	25	19	and	and	CCONJ
ajst-5931	25	20	local	local	ADJ
ajst-5931	25	21	feature	feature	NOUN
ajst-5931	25	22	space	space	NOUN
ajst-5931	25	23	perspectives	perspective	NOUN
ajst-5931	25	24	close	close	ADJ
ajst-5931	25	25	to	to	ADP
ajst-5931	25	26	the	the	DET
ajst-5931	25	27	target	target	NOUN
ajst-5931	25	28	domain	domain	NOUN
ajst-5931	25	29	.	.	PUNCT
ajst-5931	26	1	in	in	ADP
ajst-5931	26	2	the	the	DET
ajst-5931	26	3	fine	fine	ADV
ajst-5931	26	4	-	-	PUNCT
ajst-5931	26	5	grained	grain	VERB
ajst-5931	26	6	stage	stage	NOUN
ajst-5931	26	7	,	,	PUNCT
ajst-5931	26	8	the	the	DET
ajst-5931	26	9	transferability	transferability	NOUN
ajst-5931	26	10	of	of	ADP
ajst-5931	26	11	source	source	NOUN
ajst-5931	26	12	features	feature	NOUN
ajst-5931	26	13	is	be	AUX
ajst-5931	26	14	explored	explore	VERB
ajst-5931	26	15	by	by	ADP
ajst-5931	26	16	scoring	score	VERB
ajst-5931	26	17	the	the	DET
ajst-5931	26	18	similarity	similarity	NOUN
ajst-5931	26	19	of	of	ADP
ajst-5931	26	20	source	source	NOUN
ajst-5931	26	21	and	and	CCONJ
ajst-5931	26	22	target	target	NOUN
ajst-5931	26	23	samples	sample	NOUN
ajst-5931	26	24	from	from	ADP
ajst-5931	26	25	multiple	multiple	ADJ
ajst-5931	26	26	levels	level	NOUN
ajst-5931	26	27	based	base	VERB
ajst-5931	26	28	on	on	ADP
ajst-5931	26	29	the	the	DET
ajst-5931	26	30	generation	generation	NOUN
ajst-5931	26	31	probability	probability	NOUN
ajst-5931	26	32	derived	derive	VERB
ajst-5931	26	33	from	from	ADP
ajst-5931	26	34	the	the	DET
ajst-5931	26	35	coarse	coarse	NOUN
ajst-5931	26	36	-	-	PUNCT
ajst-5931	26	37	grained	grain	VERB
ajst-5931	26	38	stage	stage	NOUN
ajst-5931	26	39	.	.	PUNCT
ajst-5931	27	1	2.2	2.2	NUM
ajst-5931	27	2	.	.	PUNCT
ajst-5931	28	1	deep	deep	ADJ
ajst-5931	28	2	learning	learning	NOUN
ajst-5931	28	3	methods	method	NOUN
ajst-5931	28	4	the	the	DET
ajst-5931	28	5	second	second	ADJ
ajst-5931	28	6	type	type	NOUN
ajst-5931	28	7	of	of	ADP
ajst-5931	28	8	image	image	NOUN
ajst-5931	28	9	transformation	transformation	NOUN
ajst-5931	28	10	strategy	strategy	NOUN
ajst-5931	28	11	-	-	PUNCT
ajst-5931	28	12	based	base	VERB
ajst-5931	28	13	framework	framework	NOUN
ajst-5931	28	14	is	be	AUX
ajst-5931	28	15	mainly	mainly	ADV
ajst-5931	28	16	based	base	VERB
ajst-5931	28	17	on	on	ADP
ajst-5931	28	18	cycle	cycle	NOUN
ajst-5931	28	19	gan[4	gan[4	NOUN
ajst-5931	28	20	]	]	PUNCT
ajst-5931	28	21	,	,	PUNCT
ajst-5931	28	22	converting	convert	VERB
ajst-5931	28	23	the	the	DET
ajst-5931	28	24	synthesized	synthesize	VERB
ajst-5931	28	25	images	image	NOUN
ajst-5931	28	26	into	into	ADP
ajst-5931	28	27	images	image	NOUN
ajst-5931	28	28	with	with	ADP
ajst-5931	28	29	a	a	DET
ajst-5931	28	30	similar	similar	ADJ
ajst-5931	28	31	style	style	NOUN
ajst-5931	28	32	to	to	ADP
ajst-5931	28	33	the	the	DET
ajst-5931	28	34	target	target	NOUN
ajst-5931	28	35	domain	domain	NOUN
ajst-5931	28	36	,	,	PUNCT
ajst-5931	28	37	and	and	CCONJ
ajst-5931	28	38	then	then	ADV
ajst-5931	28	39	training	train	VERB
ajst-5931	28	40	the	the	DET
ajst-5931	28	41	transformed	transform	VERB
ajst-5931	28	42	images	image	NOUN
ajst-5931	28	43	in	in	ADP
ajst-5931	28	44	the	the	DET
ajst-5931	28	45	population	population	NOUN
ajst-5931	28	46	counting	counting	NOUN
ajst-5931	28	47	task	task	PROPN
ajst-5931	28	48	.	.	PUNCT
ajst-5931	29	1	wang	wang	PROPN
ajst-5931	29	2	et	et	PROPN
ajst-5931	29	3	al	al	PROPN
ajst-5931	29	4	.	.	PUNCT
ajst-5931	30	1	[	[	X
ajst-5931	30	2	5	5	NUM
ajst-5931	30	3	]	]	PUNCT
ajst-5931	30	4	developed	develop	VERB
ajst-5931	30	5	a	a	DET
ajst-5931	30	6	data	data	NOUN
ajst-5931	30	7	collector	collector	NOUN
ajst-5931	30	8	and	and	CCONJ
ajst-5931	30	9	hashtag	hashtag	NOUN
ajst-5931	30	10	that	that	PRON
ajst-5931	30	11	can	can	AUX
ajst-5931	30	12	generate	generate	VERB
ajst-5931	30	13	synthetic	synthetic	ADJ
ajst-5931	30	14	population	population	NOUN
ajst-5931	30	15	scenarios	scenario	NOUN
ajst-5931	30	16	and	and	CCONJ
ajst-5931	30	17	annotate	annotate	VERB
ajst-5931	30	18	them	they	PRON
ajst-5931	30	19	without	without	ADP
ajst-5931	30	20	the	the	DET
ajst-5931	30	21	need	need	NOUN
ajst-5931	30	22	for	for	ADP
ajst-5931	30	23	manual	manual	ADJ
ajst-5931	30	24	labor	labor	NOUN
ajst-5931	30	25	.	.	PUNCT
ajst-5931	31	1	based	base	VERB
ajst-5931	31	2	on	on	ADP
ajst-5931	31	3	this	this	DET
ajst-5931	31	4	work	work	NOUN
ajst-5931	31	5	,	,	PUNCT
ajst-5931	31	6	a	a	DET
ajst-5931	31	7	large	large	ADJ
ajst-5931	31	8	-	-	PUNCT
ajst-5931	31	9	scale	scale	NOUN
ajst-5931	31	10	,	,	PUNCT
ajst-5931	31	11	diverse	diverse	ADJ
ajst-5931	31	12	synthetic	synthetic	ADJ
ajst-5931	31	13	dataset	dataset	NOUN
ajst-5931	31	14	is	be	AUX
ajst-5931	31	15	constructed	construct	VERB
ajst-5931	31	16	.	.	PUNCT
ajst-5931	32	1	gao	gao	PROPN
ajst-5931	32	2	et	et	PROPN
ajst-5931	32	3	al	al	PROPN
ajst-5931	32	4	.	.	PUNCT
ajst-5931	33	1	[	[	X
ajst-5931	33	2	6	6	NUM
ajst-5931	33	3	]	]	PUNCT
ajst-5931	33	4	proposed	propose	VERB
ajst-5931	33	5	a	a	DET
ajst-5931	33	6	dacc	dacc	NOUN
ajst-5931	33	7	(	(	PUNCT
ajst-5931	33	8	domain	domain	NOUN
ajst-5931	33	9	adaptive	adaptive	ADJ
ajst-5931	33	10	crowd	crowd	NOUN
ajst-5931	33	11	counting	counting	NOUN
ajst-5931	33	12	)	)	PUNCT
ajst-5931	33	13	framework	framework	NOUN
ajst-5931	33	14	composed	compose	VERB
ajst-5931	33	15	of	of	ADP
ajst-5931	33	16	high	high	ADJ
ajst-5931	33	17	-	-	PUNCT
ajst-5931	33	18	quality	quality	NOUN
ajst-5931	33	19	image	image	NOUN
ajst-5931	33	20	transformation	transformation	NOUN
ajst-5931	33	21	and	and	CCONJ
ajst-5931	33	22	density	density	NOUN
ajst-5931	33	23	map	map	NOUN
ajst-5931	33	24	reconstruction	reconstruction	NOUN
ajst-5931	33	25	.	.	PUNCT
ajst-5931	34	1	the	the	DET
ajst-5931	34	2	former	former	ADJ
ajst-5931	34	3	transforms	transform	VERB
ajst-5931	34	4	synthetic	synthetic	ADJ
ajst-5931	34	5	data	datum	NOUN
ajst-5931	34	6	into	into	ADP
ajst-5931	34	7	real	real	ADJ
ajst-5931	34	8	images	image	NOUN
ajst-5931	34	9	to	to	PART
ajst-5931	34	10	improve	improve	VERB
ajst-5931	34	11	conversion	conversion	NOUN
ajst-5931	34	12	quality	quality	NOUN
ajst-5931	34	13	by	by	ADP
ajst-5931	34	14	separating	separate	VERB
ajst-5931	34	15	domain	domain	NOUN
ajst-5931	34	16	sharing/	sharing/	NUM
ajst-5931	34	17	independent	independent	ADJ
ajst-5931	34	18	features	feature	NOUN
ajst-5931	34	19	and	and	CCONJ
ajst-5931	34	20	design	design	NOUN
ajst-5931	34	21	content	content	NOUN
ajst-5931	34	22	perceived	perceive	VERB
ajst-5931	34	23	consistency	consistency	NOUN
ajst-5931	34	24	loss	loss	NOUN
ajst-5931	34	25	,	,	PUNCT
ajst-5931	34	26	while	while	SCONJ
ajst-5931	34	27	the	the	DET
ajst-5931	34	28	latter	latter	NOUN
ajst-5931	34	29	aims	aim	VERB
ajst-5931	34	30	to	to	PART
ajst-5931	34	31	generate	generate	VERB
ajst-5931	34	32	pseudolabels	pseudolabel	NOUN
ajst-5931	34	33	on	on	ADP
ajst-5931	34	34	real	real	ADJ
ajst-5931	34	35	scenes	scene	NOUN
ajst-5931	34	36	,	,	PUNCT
ajst-5931	34	37	using	use	VERB
ajst-5931	34	38	labels	label	NOUN
ajst-5931	34	39	to	to	PART
ajst-5931	34	40	retrain	retrain	VERB
ajst-5931	34	41	the	the	DET
ajst-5931	34	42	final	final	ADJ
ajst-5931	34	43	counter	counter	NOUN
ajst-5931	34	44	to	to	PART
ajst-5931	34	45	improve	improve	VERB
ajst-5931	34	46	count	count	NOUN
ajst-5931	34	47	performance	performance	NOUN
ajst-5931	34	48	.	.	PUNCT
ajst-5931	35	1	36	36	NUM
ajst-5931	35	2	3	3	NUM
ajst-5931	35	3	.	.	PUNCT
ajst-5931	35	4	datasets	dataset	NOUN
ajst-5931	35	5	shanghaitech[7	shanghaitech[7	AUX
ajst-5931	35	6	]	]	PUNCT
ajst-5931	35	7	:	:	PUNCT
ajst-5931	35	8	the	the	DET
ajst-5931	35	9	dataset	dataset	NOUN
ajst-5931	35	10	consists	consist	VERB
ajst-5931	35	11	of	of	ADP
ajst-5931	35	12	two	two	NUM
ajst-5931	35	13	subsets	subset	NOUN
ajst-5931	35	14	:	:	PUNCT
ajst-5931	35	15	parta	parta	NOUN
ajst-5931	35	16	and	and	CCONJ
ajst-5931	35	17	partb	partb	PROPN
ajst-5931	35	18	.	.	PUNCT
ajst-5931	36	1	parta	parta	PROPN
ajst-5931	36	2	contains	contain	VERB
ajst-5931	36	3	482	482	NUM
ajst-5931	36	4	images	image	NOUN
ajst-5931	36	5	with	with	ADP
ajst-5931	36	6	different	different	ADJ
ajst-5931	36	7	resolutions	resolution	NOUN
ajst-5931	36	8	,	,	PUNCT
ajst-5931	36	9	with	with	ADP
ajst-5931	36	10	300	300	NUM
ajst-5931	36	11	in	in	ADP
ajst-5931	36	12	the	the	DET
ajst-5931	36	13	training	training	NOUN
ajst-5931	36	14	set	set	NOUN
ajst-5931	36	15	and	and	CCONJ
ajst-5931	36	16	182	182	NUM
ajst-5931	36	17	in	in	ADP
ajst-5931	36	18	the	the	DET
ajst-5931	36	19	test	test	NOUN
ajst-5931	36	20	set	set	NOUN
ajst-5931	36	21	.	.	PUNCT
ajst-5931	37	1	the	the	DET
ajst-5931	37	2	numbers	number	NOUN
ajst-5931	37	3	in	in	ADP
ajst-5931	37	4	each	each	DET
ajst-5931	37	5	image	image	NOUN
ajst-5931	37	6	ranged	range	VERB
ajst-5931	37	7	from	from	ADP
ajst-5931	37	8	33	33	NUM
ajst-5931	37	9	to	to	ADP
ajst-5931	37	10	3139	3139	NUM
ajst-5931	37	11	,	,	PUNCT
ajst-5931	37	12	with	with	ADP
ajst-5931	37	13	an	an	DET
ajst-5931	37	14	average	average	NOUN
ajst-5931	37	15	of	of	ADP
ajst-5931	37	16	501	501	NUM
ajst-5931	37	17	.	.	PUNCT
ajst-5931	38	1	the	the	DET
ajst-5931	38	2	parta	parta	NOUN
ajst-5931	38	3	images	image	NOUN
ajst-5931	38	4	contain	contain	VERB
ajst-5931	38	5	a	a	DET
ajst-5931	38	6	variety	variety	NOUN
ajst-5931	38	7	of	of	ADP
ajst-5931	38	8	scenes	scene	NOUN
ajst-5931	38	9	,	,	PUNCT
ajst-5931	38	10	including	include	VERB
ajst-5931	38	11	indoor	indoor	ADJ
ajst-5931	38	12	and	and	CCONJ
ajst-5931	38	13	outdoor	outdoor	ADJ
ajst-5931	38	14	scenes	scene	NOUN
ajst-5931	38	15	,	,	PUNCT
ajst-5931	38	16	and	and	CCONJ
ajst-5931	38	17	are	be	AUX
ajst-5931	38	18	mostly	mostly	ADV
ajst-5931	38	19	crowded	crowd	VERB
ajst-5931	38	20	images	image	NOUN
ajst-5931	38	21	.	.	PUNCT
ajst-5931	39	1	similarly	similarly	ADV
ajst-5931	39	2	,	,	PUNCT
ajst-5931	39	3	partb	partb	NOUN
ajst-5931	39	4	contains	contain	VERB
ajst-5931	39	5	716	716	NUM
ajst-5931	39	6	images	image	NOUN
ajst-5931	39	7	with	with	ADP
ajst-5931	39	8	a	a	DET
ajst-5931	39	9	resolution	resolution	NOUN
ajst-5931	39	10	size	size	NOUN
ajst-5931	39	11	of	of	ADP
ajst-5931	39	12	768	768	NUM
ajst-5931	39	13	*	*	SYM
ajst-5931	39	14	1024	1024	NUM
ajst-5931	39	15	,	,	PUNCT
ajst-5931	39	16	with	with	ADP
ajst-5931	39	17	400	400	NUM
ajst-5931	39	18	in	in	ADP
ajst-5931	39	19	the	the	DET
ajst-5931	39	20	training	training	NOUN
ajst-5931	39	21	set	set	NOUN
ajst-5931	39	22	and	and	CCONJ
ajst-5931	39	23	316	316	NUM
ajst-5931	39	24	in	in	ADP
ajst-5931	39	25	the	the	DET
ajst-5931	39	26	test	test	NOUN
ajst-5931	39	27	set	set	NOUN
ajst-5931	39	28	.	.	PUNCT
ajst-5931	40	1	the	the	DET
ajst-5931	40	2	number	number	NOUN
ajst-5931	40	3	of	of	ADP
ajst-5931	40	4	people	people	NOUN
ajst-5931	40	5	per	per	ADP
ajst-5931	40	6	image	image	NOUN
ajst-5931	40	7	ranged	range	VERB
ajst-5931	40	8	from	from	ADP
ajst-5931	40	9	9	9	NUM
ajst-5931	40	10	to	to	ADP
ajst-5931	40	11	578	578	NUM
ajst-5931	40	12	,	,	PUNCT
ajst-5931	40	13	with	with	ADP
ajst-5931	40	14	an	an	DET
ajst-5931	40	15	average	average	NOUN
ajst-5931	40	16	of	of	ADP
ajst-5931	40	17	123	123	NUM
ajst-5931	40	18	people	people	NOUN
ajst-5931	40	19	per	per	ADP
ajst-5931	40	20	image	image	NOUN
ajst-5931	40	21	.	.	PUNCT
ajst-5931	41	1	the	the	DET
ajst-5931	41	2	images	image	NOUN
ajst-5931	41	3	of	of	ADP
ajst-5931	41	4	partb	partb	NOUN
ajst-5931	41	5	are	be	AUX
ajst-5931	41	6	taken	take	VERB
ajst-5931	41	7	from	from	ADP
ajst-5931	41	8	the	the	DET
ajst-5931	41	9	city	city	NOUN
ajst-5931	41	10	streets	street	NOUN
ajst-5931	41	11	of	of	ADP
ajst-5931	41	12	shanghai	shanghai	PROPN
ajst-5931	41	13	.	.	PUNCT
ajst-5931	42	1	ucsd[8	ucsd[8	PROPN
ajst-5931	42	2	]	]	PUNCT
ajst-5931	42	3	:	:	PUNCT
ajst-5931	42	4	the	the	DET
ajst-5931	42	5	dataset	dataset	NOUN
ajst-5931	42	6	was	be	AUX
ajst-5931	42	7	collected	collect	VERB
ajst-5931	42	8	from	from	ADP
ajst-5931	42	9	a	a	DET
ajst-5931	42	10	surveillance	surveillance	NOUN
ajst-5931	42	11	video	video	NOUN
ajst-5931	42	12	recording	recording	NOUN
ajst-5931	42	13	on	on	ADP
ajst-5931	42	14	campus	campus	NOUN
ajst-5931	42	15	.	.	PUNCT
ajst-5931	43	1	contains	contain	VERB
ajst-5931	43	2	2,000	2,000	NUM
ajst-5931	43	3	frames	frame	NOUN
ajst-5931	43	4	with	with	ADP
ajst-5931	43	5	a	a	DET
ajst-5931	43	6	resolution	resolution	NOUN
ajst-5931	43	7	of	of	ADP
ajst-5931	43	8	158	158	NUM
ajst-5931	43	9	*	*	SYM
ajst-5931	43	10	238	238	NUM
ajst-5931	43	11	.	.	PUNCT
ajst-5931	43	12	number	number	NOUN
ajst-5931	43	13	per	per	ADP
ajst-5931	43	14	frame	frame	NOUN
ajst-5931	43	15	ranged	range	VERB
ajst-5931	43	16	from	from	ADP
ajst-5931	43	17	11	11	NUM
ajst-5931	43	18	to	to	ADP
ajst-5931	43	19	46	46	NUM
ajst-5931	43	20	,	,	PUNCT
ajst-5931	43	21	with	with	ADP
ajst-5931	43	22	an	an	DET
ajst-5931	43	23	average	average	NOUN
ajst-5931	43	24	of	of	ADP
ajst-5931	43	25	25	25	NUM
ajst-5931	43	26	people	people	NOUN
ajst-5931	43	27	per	per	ADP
ajst-5931	43	28	frame	frame	NOUN
ajst-5931	43	29	.	.	PUNCT
ajst-5931	44	1	this	this	DET
ajst-5931	44	2	dataset	dataset	NOUN
ajst-5931	44	3	provides	provide	VERB
ajst-5931	44	4	a	a	DET
ajst-5931	44	5	region	region	NOUN
ajst-5931	44	6	of	of	ADP
ajst-5931	44	7	interest	interest	NOUN
ajst-5931	44	8	roi	roi	NOUN
ajst-5931	44	9	(	(	PUNCT
ajst-5931	44	10	region	region	NOUN
ajst-5931	44	11	of	of	ADP
ajst-5931	44	12	interest	interest	NOUN
ajst-5931	44	13	,	,	PUNCT
ajst-5931	44	14	roi	roi	NOUN
ajst-5931	44	15	)	)	PUNCT
ajst-5931	44	16	for	for	ADP
ajst-5931	44	17	each	each	DET
ajst-5931	44	18	frame	frame	NOUN
ajst-5931	44	19	that	that	PRON
ajst-5931	44	20	ignores	ignore	VERB
ajst-5931	44	21	background	background	NOUN
ajst-5931	44	22	interference	interference	NOUN
ajst-5931	44	23	,	,	PUNCT
ajst-5931	44	24	is	be	AUX
ajst-5931	44	25	trained	train	VERB
ajst-5931	44	26	using	use	VERB
ajst-5931	44	27	the	the	DET
ajst-5931	44	28	#	#	NOUN
ajst-5931	44	29	601	601	NUM
ajst-5931	44	30	to	to	ADP
ajst-5931	44	31	#	#	SYM
ajst-5931	44	32	1400	1400	NUM
ajst-5931	44	33	frames	frame	NOUN
ajst-5931	44	34	,	,	PUNCT
ajst-5931	44	35	and	and	CCONJ
ajst-5931	44	36	the	the	DET
ajst-5931	44	37	rest	rest	NOUN
ajst-5931	44	38	are	be	AUX
ajst-5931	44	39	tested	test	VERB
ajst-5931	44	40	.	.	PUNCT
ajst-5931	45	1	figure	figure	NOUN
ajst-5931	45	2	1	1	NUM
ajst-5931	45	3	shows	show	VERB
ajst-5931	45	4	the	the	DET
ajst-5931	45	5	population	population	NOUN
ajst-5931	45	6	image	image	NOUN
ajst-5931	45	7	and	and	CCONJ
ajst-5931	45	8	the	the	DET
ajst-5931	45	9	roi	roi	NOUN
ajst-5931	45	10	region	region	NOUN
ajst-5931	45	11	of	of	ADP
ajst-5931	45	12	the	the	DET
ajst-5931	45	13	ucsd	ucsd	PROPN
ajst-5931	45	14	.	.	PUNCT
ajst-5931	46	1	（	（	PROPN
ajst-5931	46	2	a）ucsd	a）ucsd	PROPN
ajst-5931	46	3	dataset	dataset	ADJ
ajst-5931	46	4	image	image	NOUN
ajst-5931	46	5	（	（	PUNCT
ajst-5931	46	6	b）roi	b）roi	NOUN
ajst-5931	46	7	regions	region	NOUN
ajst-5931	46	8	provided	provide	VERB
ajst-5931	46	9	by	by	ADP
ajst-5931	46	10	the	the	DET
ajst-5931	46	11	dataset	dataset	ADJ
ajst-5931	46	12	figure	figure	NOUN
ajst-5931	46	13	1	1	NUM
ajst-5931	46	14	.	.	PUNCT
ajst-5931	47	1	population	population	NOUN
ajst-5931	47	2	image	image	NOUN
ajst-5931	47	3	and	and	CCONJ
ajst-5931	47	4	the	the	DET
ajst-5931	47	5	roi	roi	NOUN
ajst-5931	47	6	region	region	NOUN
ajst-5931	47	7	of	of	ADP
ajst-5931	47	8	the	the	DET
ajst-5931	47	9	ucsd	ucsd	PROPN
ajst-5931	47	10	.	.	PUNCT
ajst-5931	48	1	mall[9	mall[9	ADP
ajst-5931	48	2	]	]	PUNCT
ajst-5931	48	3	:	:	PUNCT
ajst-5931	48	4	similar	similar	ADJ
ajst-5931	48	5	to	to	ADP
ajst-5931	48	6	ucsd	ucsd	PROPN
ajst-5931	48	7	,	,	PUNCT
ajst-5931	48	8	the	the	DET
ajst-5931	48	9	dataset	dataset	NOUN
ajst-5931	48	10	was	be	AUX
ajst-5931	48	11	collected	collect	VERB
ajst-5931	48	12	in	in	ADP
ajst-5931	48	13	a	a	DET
ajst-5931	48	14	surveillance	surveillance	NOUN
ajst-5931	48	15	camera	camera	NOUN
ajst-5931	48	16	in	in	ADP
ajst-5931	48	17	a	a	DET
ajst-5931	48	18	shopping	shopping	NOUN
ajst-5931	48	19	mall	mall	NOUN
ajst-5931	48	20	.	.	PUNCT
ajst-5931	49	1	mall	mall	NOUN
ajst-5931	49	2	contains	contain	VERB
ajst-5931	49	3	2000	2000	NUM
ajst-5931	49	4	frame	frame	NOUN
ajst-5931	49	5	files	file	NOUN
ajst-5931	49	6	with	with	ADP
ajst-5931	49	7	a	a	DET
ajst-5931	49	8	resolution	resolution	NOUN
ajst-5931	49	9	of	of	ADP
ajst-5931	49	10	240	240	NUM
ajst-5931	49	11	*	*	SYM
ajst-5931	49	12	320	320	NUM
ajst-5931	49	13	.	.	PUNCT
ajst-5931	50	1	each	each	DET
ajst-5931	50	2	frame	frame	NOUN
ajst-5931	50	3	contained	contain	VERB
ajst-5931	50	4	numbers	number	NOUN
ajst-5931	50	5	ranging	range	VERB
ajst-5931	50	6	from	from	ADP
ajst-5931	50	7	13	13	NUM
ajst-5931	50	8	to	to	ADP
ajst-5931	50	9	53	53	NUM
ajst-5931	50	10	,	,	PUNCT
ajst-5931	50	11	with	with	ADP
ajst-5931	50	12	an	an	DET
ajst-5931	50	13	average	average	NOUN
ajst-5931	50	14	of	of	ADP
ajst-5931	50	15	31	31	NUM
ajst-5931	50	16	per	per	ADP
ajst-5931	50	17	frame	frame	NOUN
ajst-5931	50	18	.	.	PUNCT
ajst-5931	51	1	the	the	DET
ajst-5931	51	2	dataset	dataset	NOUN
ajst-5931	51	3	provides	provide	VERB
ajst-5931	51	4	a	a	DET
ajst-5931	51	5	roi	roi	NOUN
ajst-5931	51	6	ignoring	ignore	VERB
ajst-5931	51	7	background	background	NOUN
ajst-5931	51	8	interference	interference	NOUN
ajst-5931	51	9	for	for	ADP
ajst-5931	51	10	the	the	DET
ajst-5931	51	11	frame	frame	NOUN
ajst-5931	51	12	files	file	NOUN
ajst-5931	51	13	.	.	PUNCT
ajst-5931	52	1	unlike	unlike	ADP
ajst-5931	52	2	the	the	DET
ajst-5931	52	3	grayscale	grayscale	NOUN
ajst-5931	52	4	frames	frame	NOUN
ajst-5931	52	5	of	of	ADP
ajst-5931	52	6	the	the	DET
ajst-5931	52	7	ucsd	ucsd	PROPN
ajst-5931	52	8	,	,	PUNCT
ajst-5931	52	9	the	the	DET
ajst-5931	52	10	mall	mall	NOUN
ajst-5931	52	11	frame	frame	NOUN
ajst-5931	52	12	file	file	NOUN
ajst-5931	52	13	is	be	AUX
ajst-5931	52	14	colored	color	VERB
ajst-5931	52	15	and	and	CCONJ
ajst-5931	52	16	contains	contain	VERB
ajst-5931	52	17	different	different	ADJ
ajst-5931	52	18	changes	change	NOUN
ajst-5931	52	19	in	in	ADP
ajst-5931	52	20	light	light	ADJ
ajst-5931	52	21	conditions	condition	NOUN
ajst-5931	52	22	.	.	PUNCT
ajst-5931	53	1	in	in	ADP
ajst-5931	53	2	addition	addition	NOUN
ajst-5931	53	3	,	,	PUNCT
ajst-5931	53	4	mall	mall	NOUN
ajst-5931	53	5	has	have	VERB
ajst-5931	53	6	perspective	perspective	ADJ
ajst-5931	53	7	distortion	distortion	NOUN
ajst-5931	53	8	and	and	CCONJ
ajst-5931	53	9	occlusion	occlusion	NOUN
ajst-5931	53	10	phenomenon	phenomenon	NOUN
ajst-5931	53	11	.	.	PUNCT
ajst-5931	54	1	qnrf[11	qnrf[11	PROPN
ajst-5931	54	2	]	]	X
ajst-5931	54	3	:	:	PUNCT
ajst-5931	54	4	the	the	DET
ajst-5931	54	5	dataset	dataset	NOUN
ajst-5931	54	6	is	be	AUX
ajst-5931	54	7	composed	compose	VERB
ajst-5931	54	8	of	of	ADP
ajst-5931	54	9	1,535	1,535	NUM
ajst-5931	54	10	images	image	NOUN
ajst-5931	54	11	with	with	ADP
ajst-5931	54	12	about	about	ADP
ajst-5931	54	13	1.25	1.25	NUM
ajst-5931	54	14	million	million	NUM
ajst-5931	54	15	annotations	annotation	NOUN
ajst-5931	54	16	.	.	PUNCT
ajst-5931	55	1	it	it	PRON
ajst-5931	55	2	ranged	range	VERB
ajst-5931	55	3	from	from	ADP
ajst-5931	55	4	49	49	NUM
ajst-5931	55	5	to	to	ADP
ajst-5931	55	6	12865	12865	NUM
ajst-5931	55	7	,	,	PUNCT
ajst-5931	55	8	with	with	ADP
ajst-5931	55	9	an	an	DET
ajst-5931	55	10	average	average	ADJ
ajst-5931	55	11	count	count	NOUN
ajst-5931	55	12	of	of	ADP
ajst-5931	55	13	815.4	815.4	NUM
ajst-5931	55	14	.	.	PUNCT
ajst-5931	56	1	specifically	specifically	ADV
ajst-5931	56	2	,	,	PUNCT
ajst-5931	56	3	the	the	DET
ajst-5931	56	4	training	training	NOUN
ajst-5931	56	5	set	set	NOUN
ajst-5931	56	6	consisted	consist	VERB
ajst-5931	56	7	of	of	ADP
ajst-5931	56	8	1,201	1,201	NUM
ajst-5931	56	9	images	image	NOUN
ajst-5931	56	10	,	,	PUNCT
ajst-5931	56	11	and	and	CCONJ
ajst-5931	56	12	the	the	DET
ajst-5931	56	13	test	test	NOUN
ajst-5931	56	14	set	set	NOUN
ajst-5931	56	15	consisted	consist	VERB
ajst-5931	56	16	of	of	ADP
ajst-5931	56	17	334	334	NUM
ajst-5931	56	18	images	image	NOUN
ajst-5931	56	19	.	.	PUNCT
ajst-5931	57	1	the	the	DET
ajst-5931	57	2	images	image	NOUN
ajst-5931	57	3	of	of	ADP
ajst-5931	57	4	this	this	DET
ajst-5931	57	5	dataset	dataset	ADJ
ajst-5931	57	6	species	specie	NOUN
ajst-5931	57	7	contain	contain	VERB
ajst-5931	57	8	a	a	DET
ajst-5931	57	9	wider	wide	ADJ
ajst-5931	57	10	range	range	NOUN
ajst-5931	57	11	of	of	ADP
ajst-5931	57	12	scenarios	scenario	NOUN
ajst-5931	57	13	and	and	CCONJ
ajst-5931	57	14	contain	contain	VERB
ajst-5931	57	15	the	the	DET
ajst-5931	57	16	most	most	ADV
ajst-5931	57	17	diverse	diverse	ADJ
ajst-5931	57	18	viewpoint	viewpoint	NOUN
ajst-5931	57	19	,	,	PUNCT
ajst-5931	57	20	density	density	NOUN
ajst-5931	57	21	,	,	PUNCT
ajst-5931	57	22	and	and	CCONJ
ajst-5931	57	23	illumination	illumination	NOUN
ajst-5931	57	24	changes	change	NOUN
ajst-5931	57	25	.	.	PUNCT
ajst-5931	58	1	4	4	X
ajst-5931	58	2	.	.	X
ajst-5931	58	3	evaluating	evaluate	VERB
ajst-5931	58	4	indicator	indicator	NOUN
ajst-5931	58	5	mean	mean	VERB
ajst-5931	58	6	absolute	absolute	ADJ
ajst-5931	58	7	error	error	NOUN
ajst-5931	58	8	(	(	PUNCT
ajst-5931	58	9	mae	mae	PROPN
ajst-5931	58	10	)	)	PUNCT
ajst-5931	58	11	and	and	CCONJ
ajst-5931	58	12	root	root	NOUN
ajst-5931	58	13	mean	mean	ADJ
ajst-5931	58	14	square	square	ADJ
ajst-5931	58	15	error	error	NOUN
ajst-5931	58	16	(	(	PUNCT
ajst-5931	58	17	rmse	rmse	NOUN
ajst-5931	58	18	)	)	PUNCT
ajst-5931	58	19	are	be	AUX
ajst-5931	58	20	two	two	NUM
ajst-5931	58	21	common	common	ADJ
ajst-5931	58	22	indicators	indicator	NOUN
ajst-5931	58	23	of	of	ADP
ajst-5931	58	24	population	population	NOUN
ajst-5931	58	25	counting	counting	NOUN
ajst-5931	58	26	algorithm	algorithm	NOUN
ajst-5931	58	27	.	.	PUNCT
ajst-5931	59	1	mae	mae	PROPN
ajst-5931	59	2	reflects	reflect	VERB
ajst-5931	59	3	the	the	DET
ajst-5931	59	4	accuracy	accuracy	NOUN
ajst-5931	59	5	of	of	ADP
ajst-5931	59	6	model	model	NOUN
ajst-5931	59	7	prediction	prediction	NOUN
ajst-5931	59	8	,	,	PUNCT
ajst-5931	59	9	defined	define	VERB
ajst-5931	59	10	as	as	ADP
ajst-5931	59	11	formula	formula	NOUN
ajst-5931	59	12	(	(	PUNCT
ajst-5931	59	13	1	1	NUM
ajst-5931	59	14	)	)	PUNCT
ajst-5931	59	15	,	,	PUNCT
ajst-5931	59	16	rmse	rmse	PROPN
ajst-5931	59	17	reflects	reflect	VERB
ajst-5931	59	18	the	the	DET
ajst-5931	59	19	robustness	robustness	NOUN
ajst-5931	59	20	of	of	ADP
ajst-5931	59	21	algorithm	algorithm	NOUN
ajst-5931	59	22	prediction	prediction	NOUN
ajst-5931	59	23	and	and	CCONJ
ajst-5931	59	24	defined	define	VERB
ajst-5931	59	25	as	as	ADP
ajst-5931	59	26	formula	formula	NOUN
ajst-5931	59	27	(	(	PUNCT
ajst-5931	59	28	2	2	NUM
ajst-5931	59	29	):	):	PUNCT
ajst-5931	59	30	promising	promise	VERB
ajst-5931	59	31	results	result	NOUN
ajst-5931	59	32	in	in	ADP
ajst-5931	59	33	crowd	crowd	NOUN
ajst-5931	59	34	counting	counting	NOUN
ajst-5931	59	35	,	,	PUNCT
ajst-5931	59	36	but	but	CCONJ
ajst-5931	59	37	further	further	ADJ
ajst-5931	59	38	research	research	NOUN
ajst-5931	59	39	is	be	AUX
ajst-5931	59	40	needed	need	VERB
ajst-5931	59	41	to	to	PART
ajst-5931	59	42	develop	develop	VERB
ajst-5931	59	43	more	more	ADV
ajst-5931	59	44	efficient	efficient	ADJ
ajst-5931	59	45	and	and	CCONJ
ajst-5931	59	46	effective	effective	ADJ
ajst-5931	59	47	techniques	technique	NOUN
ajst-5931	59	48	for	for	ADP
ajst-5931	59	49	this	this	DET
ajst-5931	59	50	challenging	challenging	ADJ
ajst-5931	59	51	problem	problem	NOUN
ajst-5931	59	52	.	.	PUNCT
ajst-5931	60	1	1	1	NUM
ajst-5931	60	2	1	1	NUM
ajst-5931	60	3	|	|	ADV
ajst-5931	60	4	|	|	ADV
ajst-5931	60	5	#	#	NOUN
ajst-5931	61	1	n	n	NOUN
ajst-5931	62	1	gt	gt	INTJ
ajst-5931	63	1	i	i	PRON
ajst-5931	63	2	i	i	PRON
ajst-5931	64	1	i	i	PRON
ajst-5931	64	2	mae	mae	PROPN
ajst-5931	64	3	c	c	PROPN
ajst-5931	64	4	c	c	PROPN
ajst-5931	64	5	n	n	NOUN
ajst-5931	64	6			NUM
ajst-5931	64	7			NUM
ajst-5931	65	1			X
ajst-5931	65	2	（	（	PUNCT
ajst-5931	65	3	1	1	NUM
ajst-5931	65	4	）	）	SYM
ajst-5931	65	5	2	2	NUM
ajst-5931	65	6	i	i	NOUN
ajst-5931	65	7	1	1	NUM
ajst-5931	65	8	1	1	NUM
ajst-5931	65	9	(	(	PUNCT
ajst-5931	65	10	)	)	PUNCT
ajst-5931	65	11	#	#	NOUN
ajst-5931	65	12	n	n	NOUN
ajst-5931	66	1	gt	gt	INTJ
ajst-5931	67	1	i	i	PRON
ajst-5931	67	2	i	i	PRON
ajst-5931	67	3	rmse	rmse	VERB
ajst-5931	67	4	c	c	PROPN
ajst-5931	67	5	c	c	PROPN
ajst-5931	67	6	n	n	CCONJ
ajst-5931	67	7			NUM
ajst-5931	67	8			NUM
ajst-5931	68	1			X
ajst-5931	68	2	（	（	PROPN
ajst-5931	68	3	2	2	NUM
ajst-5931	68	4	）	）	SYM
ajst-5931	68	5	5	5	NUM
ajst-5931	68	6	.	.	X
ajst-5931	68	7	conclusion	conclusion	NOUN
ajst-5931	68	8	although	although	SCONJ
ajst-5931	68	9	domain	domain	NOUN
ajst-5931	68	10	adaptation	adaptation	NOUN
ajst-5931	68	11	-	-	PUNCT
ajst-5931	68	12	based	base	VERB
ajst-5931	68	13	crowd	crowd	NOUN
ajst-5931	68	14	counting	count	VERB
ajst-5931	68	15	algorithms	algorithm	NOUN
ajst-5931	68	16	have	have	AUX
ajst-5931	68	17	achieved	achieve	VERB
ajst-5931	68	18	good	good	ADJ
ajst-5931	68	19	results	result	NOUN
ajst-5931	68	20	,	,	PUNCT
ajst-5931	68	21	there	there	PRON
ajst-5931	68	22	are	be	VERB
ajst-5931	68	23	still	still	ADV
ajst-5931	68	24	many	many	ADJ
ajst-5931	68	25	problems	problem	NOUN
ajst-5931	68	26	.	.	PUNCT
ajst-5931	69	1	firstly	firstly	ADV
ajst-5931	69	2	,	,	PUNCT
ajst-5931	69	3	most	most	ADJ
ajst-5931	69	4	methods	method	NOUN
ajst-5931	69	5	are	be	AUX
ajst-5931	69	6	limited	limit	VERB
ajst-5931	69	7	to	to	ADP
ajst-5931	69	8	single	single	ADJ
ajst-5931	69	9	-	-	PUNCT
ajst-5931	69	10	source	source	NOUN
ajst-5931	69	11	domain	domain	NOUN
ajst-5931	69	12	adaptation	adaptation	NOUN
ajst-5931	69	13	.	.	PUNCT
ajst-5931	70	1	however	however	ADV
ajst-5931	70	2	,	,	PUNCT
ajst-5931	70	3	in	in	ADP
ajst-5931	70	4	practical	practical	ADJ
ajst-5931	70	5	scenarios	scenario	NOUN
ajst-5931	70	6	,	,	PUNCT
ajst-5931	70	7	domain	domain	NOUN
ajst-5931	70	8	shift	shift	NOUN
ajst-5931	70	9	not	not	PART
ajst-5931	70	10	only	only	ADV
ajst-5931	70	11	exists	exist	VERB
ajst-5931	70	12	between	between	ADP
ajst-5931	70	13	source	source	NOUN
ajst-5931	70	14	and	and	CCONJ
ajst-5931	70	15	target	target	NOUN
ajst-5931	70	16	domains	domain	NOUN
ajst-5931	70	17	,	,	PUNCT
ajst-5931	70	18	but	but	CCONJ
ajst-5931	70	19	also	also	ADV
ajst-5931	70	20	between	between	ADP
ajst-5931	70	21	different	different	ADJ
ajst-5931	70	22	source	source	NOUN
ajst-5931	70	23	domains	domain	NOUN
ajst-5931	70	24	.	.	PUNCT
ajst-5931	71	1	data	datum	NOUN
ajst-5931	71	2	from	from	ADP
ajst-5931	71	3	different	different	ADJ
ajst-5931	71	4	source	source	NOUN
ajst-5931	71	5	domains	domain	NOUN
ajst-5931	71	6	can	can	AUX
ajst-5931	71	7	interfere	interfere	VERB
ajst-5931	71	8	with	with	ADP
ajst-5931	71	9	each	each	DET
ajst-5931	71	10	other	other	ADJ
ajst-5931	71	11	during	during	ADP
ajst-5931	71	12	mutual	mutual	ADJ
ajst-5931	71	13	learning	learning	NOUN
ajst-5931	71	14	.	.	PUNCT
ajst-5931	72	1	therefore	therefore	ADV
ajst-5931	72	2	,	,	PUNCT
ajst-5931	72	3	it	it	PRON
ajst-5931	72	4	is	be	AUX
ajst-5931	72	5	necessary	necessary	ADJ
ajst-5931	72	6	to	to	PART
ajst-5931	72	7	solve	solve	VERB
ajst-5931	72	8	the	the	DET
ajst-5931	72	9	problem	problem	NOUN
ajst-5931	72	10	of	of	ADP
ajst-5931	72	11	multi	multi	ADJ
ajst-5931	72	12	-	-	ADJ
ajst-5931	72	13	source	source	NOUN
ajst-5931	72	14	domain	domain	NOUN
ajst-5931	72	15	adaptation	adaptation	NOUN
ajst-5931	72	16	in	in	ADP
ajst-5931	72	17	crowd	crowd	NOUN
ajst-5931	72	18	counting	counting	NOUN
ajst-5931	72	19	.	.	PUNCT
ajst-5931	73	1	secondly	secondly	ADV
ajst-5931	73	2	,	,	PUNCT
ajst-5931	73	3	current	current	ADJ
ajst-5931	73	4	domain	domain	NOUN
ajst-5931	73	5	adaptation	adaptation	NOUN
ajst-5931	73	6	methods	method	NOUN
ajst-5931	73	7	are	be	AUX
ajst-5931	73	8	tested	test	VERB
ajst-5931	73	9	on	on	ADP
ajst-5931	73	10	crowd	crowd	NOUN
ajst-5931	73	11	counting	count	VERB
ajst-5931	73	12	datasets	dataset	NOUN
ajst-5931	73	13	in	in	ADP
ajst-5931	73	14	normal	normal	ADJ
ajst-5931	73	15	environments	environment	NOUN
ajst-5931	73	16	.	.	PUNCT
ajst-5931	74	1	however	however	ADV
ajst-5931	74	2	,	,	PUNCT
ajst-5931	74	3	there	there	PRON
ajst-5931	74	4	may	may	AUX
ajst-5931	74	5	be	be	AUX
ajst-5931	74	6	adverse	adverse	ADJ
ajst-5931	74	7	environments	environment	NOUN
ajst-5931	74	8	in	in	ADP
ajst-5931	74	9	real	real	ADJ
ajst-5931	74	10	-	-	PUNCT
ajst-5931	74	11	world	world	NOUN
ajst-5931	74	12	scenarios	scenario	NOUN
ajst-5931	74	13	,	,	PUNCT
ajst-5931	74	14	such	such	ADJ
ajst-5931	74	15	as	as	ADP
ajst-5931	74	16	low	low	ADJ
ajst-5931	74	17	-	-	PUNCT
ajst-5931	74	18	light	light	ADJ
ajst-5931	74	19	,	,	PUNCT
ajst-5931	74	20	rain	rain	NOUN
ajst-5931	74	21	,	,	PUNCT
ajst-5931	74	22	and	and	CCONJ
ajst-5931	74	23	fog	fog	NOUN
ajst-5931	74	24	,	,	PUNCT
ajst-5931	74	25	and	and	CCONJ
ajst-5931	74	26	the	the	DET
ajst-5931	74	27	model	model	NOUN
ajst-5931	74	28	can	can	AUX
ajst-5931	74	29	not	not	PART
ajst-5931	74	30	effectively	effectively	ADV
ajst-5931	74	31	handle	handle	VERB
ajst-5931	74	32	these	these	DET
ajst-5931	74	33	scenarios	scenario	NOUN
ajst-5931	74	34	.	.	PUNCT
ajst-5931	75	1	therefore	therefore	ADV
ajst-5931	75	2	,	,	PUNCT
ajst-5931	75	3	the	the	DET
ajst-5931	75	4	generalization	generalization	NOUN
ajst-5931	75	5	ability	ability	NOUN
ajst-5931	75	6	of	of	ADP
ajst-5931	75	7	the	the	DET
ajst-5931	75	8	model	model	NOUN
ajst-5931	75	9	in	in	ADP
ajst-5931	75	10	adverse	adverse	ADJ
ajst-5931	75	11	environments	environment	NOUN
ajst-5931	75	12	needs	need	VERB
ajst-5931	75	13	to	to	PART
ajst-5931	75	14	be	be	AUX
ajst-5931	75	15	further	far	ADV
ajst-5931	75	16	improved	improve	VERB
ajst-5931	75	17	.	.	PUNCT
ajst-5931	76	1	references	reference	NOUN
ajst-5931	76	2	[	[	X
ajst-5931	76	3	1	1	NUM
ajst-5931	76	4	]	]	X
ajst-5931	76	5	li	li	PROPN
ajst-5931	76	6	w	w	PROPN
ajst-5931	76	7	,	,	PUNCT
ajst-5931	76	8	yongbo	yongbo	PROPN
ajst-5931	76	9	l	l	PROPN
ajst-5931	76	10	,	,	PUNCT
ajst-5931	76	11	xiangyang	xiangyang	PROPN
ajst-5931	76	12	x.	x.	PROPN
ajst-5931	76	13	coda	coda	NOUN
ajst-5931	76	14	:	:	PUNCT
ajst-5931	76	15	counting	count	VERB
ajst-5931	76	16	objects	object	NOUN
ajst-5931	76	17	via	via	ADP
ajst-5931	76	18	scale	scale	NOUN
ajst-5931	76	19	-	-	PUNCT
ajst-5931	76	20	aware	aware	ADJ
ajst-5931	76	21	adversarial	adversarial	ADJ
ajst-5931	76	22	density	density	NOUN
ajst-5931	76	23	adaption[c]//2019	adaption[c]//2019	NUM
ajst-5931	76	24	ieee	ieee	NOUN
ajst-5931	76	25	international	international	ADJ
ajst-5931	76	26	conference	conference	NOUN
ajst-5931	76	27	on	on	ADP
ajst-5931	76	28	multimedia	multimedia	NOUN
ajst-5931	76	29	and	and	CCONJ
ajst-5931	76	30	expo	expo	NOUN
ajst-5931	76	31	(	(	PUNCT
ajst-5931	76	32	icme	icme	PROPN
ajst-5931	76	33	)	)	PUNCT
ajst-5931	76	34	.	.	PUNCT
ajst-5931	77	1	ieee	ieee	PROPN
ajst-5931	77	2	,	,	PUNCT
ajst-5931	77	3	2019	2019	NUM
ajst-5931	77	4	:	:	PUNCT
ajst-5931	77	5	193	193	NUM
ajst-5931	77	6	-	-	SYM
ajst-5931	77	7	198	198	NUM
ajst-5931	77	8	.	.	PUNCT
ajst-5931	78	1	[	[	X
ajst-5931	78	2	2	2	NUM
ajst-5931	78	3	]	]	X
ajst-5931	78	4	yan	yan	PROPN
ajst-5931	79	1	z	z	PROPN
ajst-5931	79	2	,	,	PUNCT
ajst-5931	79	3	li	li	PROPN
ajst-5931	79	4	p	p	PROPN
ajst-5931	79	5	,	,	PUNCT
ajst-5931	79	6	wang	wang	PROPN
ajst-5931	79	7	b	b	PROPN
ajst-5931	79	8	,	,	PUNCT
ajst-5931	79	9	et	et	PROPN
ajst-5931	79	10	al	al	PROPN
ajst-5931	79	11	.	.	PROPN
ajst-5931	79	12	towards	towards	ADP
ajst-5931	79	13	learning	learn	VERB
ajst-5931	79	14	multi	multi	ADJ
ajst-5931	79	15	-	-	ADJ
ajst-5931	79	16	domain	domain	ADJ
ajst-5931	79	17	crowd	crowd	NOUN
ajst-5931	79	18	counting[j	counting[j	NOUN
ajst-5931	79	19	]	]	PUNCT
ajst-5931	79	20	.	.	PUNCT
ajst-5931	80	1	ieee	ieee	PROPN
ajst-5931	80	2	trans	trans	PROPN
ajst-5931	80	3	.	.	PUNCT
ajst-5931	81	1	circuits	circuit	NOUN
ajst-5931	81	2	syst	syst	PROPN
ajst-5931	81	3	.	.	PUNCT
ajst-5931	81	4	video	video	PROPN
ajst-5931	81	5	technol	technol	NOUN
ajst-5931	81	6	,	,	PUNCT
ajst-5931	81	7	2021.badrinarayanan	2021.badrinarayanan	CCONJ
ajst-5931	81	8	,	,	PUNCT
ajst-5931	81	9	v.	v.	PROPN
ajst-5931	81	10	,	,	PUNCT
ajst-5931	81	11	kendall	kendall	PROPN
ajst-5931	81	12	,	,	PUNCT
ajst-5931	81	13	a.	a.	PROPN
ajst-5931	81	14	,	,	PUNCT
ajst-5931	81	15	cipolla	cipolla	PROPN
ajst-5931	81	16	,	,	PUNCT
ajst-5931	81	17	r.	r.	PROPN
ajst-5931	81	18	:	:	PUNCT
ajst-5931	81	19	‘	'	PUNCT
ajst-5931	81	20	segnet	segnet	NOUN
ajst-5931	81	21	:	:	PUNCT
ajst-5931	81	22	a	a	DET
ajst-5931	81	23	deep	deep	ADJ
ajst-5931	81	24	convolutional	convolutional	ADJ
ajst-5931	81	25	encoder	encoder	NOUN
ajst-5931	81	26	-	-	PUNCT
ajst-5931	81	27	decoder	decoder	NOUN
ajst-5931	81	28	architecture	architecture	NOUN
ajst-5931	81	29	for	for	ADP
ajst-5931	81	30	image	image	NOUN
ajst-5931	81	31	segmentation	segmentation	NOUN
ajst-5931	81	32	’	'	PUNCT
ajst-5931	81	33	,	,	PUNCT
ajst-5931	81	34	ieee	ieee	NOUN
ajst-5931	81	35	transactions	transaction	NOUN
ajst-5931	81	36	on	on	ADP
ajst-5931	81	37	pattern	pattern	NOUN
ajst-5931	81	38	analysis	analysis	NOUN
ajst-5931	81	39	and	and	CCONJ
ajst-5931	81	40	machine	machine	NOUN
ajst-5931	81	41	intelligence	intelligence	NOUN
ajst-5931	81	42	,	,	PUNCT
ajst-5931	81	43	2017	2017	NUM
ajst-5931	81	44	,	,	PUNCT
ajst-5931	81	45	39	39	NUM
ajst-5931	81	46	,	,	PUNCT
ajst-5931	81	47	pp	pp	ADJ
ajst-5931	81	48	.	.	PUNCT
ajst-5931	82	1	2481–2495	2481–2495	NUM
ajst-5931	83	1	[	[	X
ajst-5931	83	2	3	3	NUM
ajst-5931	83	3	]	]	X
ajst-5931	83	4	zou	zou	PROPN
ajst-5931	83	5	z	z	PROPN
ajst-5931	83	6	,	,	PUNCT
ajst-5931	83	7	qu	qu	PROPN
ajst-5931	83	8	x	x	PROPN
ajst-5931	83	9	,	,	PUNCT
ajst-5931	83	10	zhou	zhou	PROPN
ajst-5931	83	11	p	p	PROPN
ajst-5931	83	12	,	,	PUNCT
ajst-5931	83	13	et	et	PROPN
ajst-5931	83	14	al	al	PROPN
ajst-5931	83	15	.	.	PROPN
ajst-5931	83	16	coarse	coarse	PROPN
ajst-5931	83	17	to	to	ADP
ajst-5931	83	18	fine	fine	ADJ
ajst-5931	83	19	:	:	PUNCT
ajst-5931	83	20	domain	domain	VERB
ajst-5931	83	21	adaptive	adaptive	ADJ
ajst-5931	83	22	crowd	crowd	NOUN
ajst-5931	83	23	counting	counting	NOUN
ajst-5931	83	24	via	via	ADP
ajst-5931	83	25	adversarial	adversarial	ADJ
ajst-5931	83	26	scoring	scoring	NOUN
ajst-5931	83	27	network[c]//proceedings	network[c]//proceeding	NOUN
ajst-5931	83	28	of	of	ADP
ajst-5931	83	29	the	the	DET
ajst-5931	83	30	29th	29th	ADJ
ajst-5931	83	31	acm	acm	PROPN
ajst-5931	83	32	international	international	ADJ
ajst-5931	83	33	conference	conference	NOUN
ajst-5931	83	34	on	on	ADP
ajst-5931	83	35	multimedia	multimedia	NOUN
ajst-5931	83	36	.	.	PUNCT
ajst-5931	84	1	2021	2021	NUM
ajst-5931	84	2	:	:	PUNCT
ajst-5931	85	1	2185-2194.ghiasi	2185-2194.ghiasi	NUM
ajst-5931	85	2	,	,	PUNCT
ajst-5931	85	3	[	[	X
ajst-5931	85	4	4	4	X
ajst-5931	85	5	]	]	PUNCT
ajst-5931	85	6	zhu	zhu	PROPN
ajst-5931	85	7	j	j	PROPN
ajst-5931	85	8	y	y	PROPN
ajst-5931	85	9	,	,	PUNCT
ajst-5931	85	10	park	park	PROPN
ajst-5931	85	11	t	t	PROPN
ajst-5931	85	12	,	,	PUNCT
ajst-5931	85	13	isola	isola	PROPN
ajst-5931	85	14	p	p	X
ajst-5931	85	15	,	,	PUNCT
ajst-5931	85	16	et	et	PROPN
ajst-5931	85	17	al	al	PROPN
ajst-5931	85	18	.	.	PROPN
ajst-5931	85	19	unpaired	unpaired	ADJ
ajst-5931	85	20	image	image	NOUN
ajst-5931	85	21	-	-	PUNCT
ajst-5931	85	22	to	to	ADP
ajst-5931	85	23	-	-	PUNCT
ajst-5931	85	24	image	image	NOUN
ajst-5931	85	25	translation	translation	NOUN
ajst-5931	85	26	using	use	VERB
ajst-5931	85	27	cycle	cycle	NOUN
ajst-5931	85	28	-	-	PUNCT
ajst-5931	85	29	consistent	consistent	ADJ
ajst-5931	85	30	adversarial	adversarial	ADJ
ajst-5931	85	31	networks[c]//proceedings	networks[c]//proceeding	NOUN
ajst-5931	85	32	of	of	ADP
ajst-5931	85	33	the	the	DET
ajst-5931	85	34	ieee	ieee	NOUN
ajst-5931	85	35	international	international	PROPN
ajst-5931	85	36	conference	conference	NOUN
ajst-5931	85	37	on	on	ADP
ajst-5931	85	38	computer	computer	NOUN
ajst-5931	85	39	vision	vision	NOUN
ajst-5931	85	40	.	.	PUNCT
ajst-5931	86	1	2017	2017	NUM
ajst-5931	86	2	:	:	PUNCT
ajst-5931	86	3	2223	2223	NUM
ajst-5931	86	4	-	-	SYM
ajst-5931	86	5	2232	2232	NUM
ajst-5931	86	6	.	.	PUNCT
ajst-5931	87	1	[	[	X
ajst-5931	87	2	5	5	X
ajst-5931	87	3	]	]	X
ajst-5931	87	4	wang	wang	PROPN
ajst-5931	87	5	q	q	PROPN
ajst-5931	87	6	,	,	PUNCT
ajst-5931	87	7	gao	gao	PROPN
ajst-5931	87	8	j	j	PROPN
ajst-5931	87	9	,	,	PUNCT
ajst-5931	87	10	lin	lin	PROPN
ajst-5931	87	11	w	w	PROPN
ajst-5931	87	12	,	,	PUNCT
ajst-5931	87	13	et	et	PROPN
ajst-5931	87	14	al	al	PROPN
ajst-5931	87	15	.	.	PUNCT
ajst-5931	88	1	learning	learn	VERB
ajst-5931	88	2	from	from	ADP
ajst-5931	88	3	synthetic	synthetic	ADJ
ajst-5931	88	4	data	datum	NOUN
ajst-5931	88	5	for	for	ADP
ajst-5931	88	6	crowd	crowd	NOUN
ajst-5931	88	7	counting	counting	NOUN
ajst-5931	88	8	in	in	ADP
ajst-5931	88	9	the	the	DET
ajst-5931	88	10	wild[c]//proceedings	wild[c]//proceeding	NOUN
ajst-5931	88	11	of	of	ADP
ajst-5931	88	12	the	the	DET
ajst-5931	88	13	ieee	ieee	NOUN
ajst-5931	88	14	/	/	SYM
ajst-5931	88	15	cvf	cvf	NOUN
ajst-5931	88	16	37	37	NUM
ajst-5931	88	17	conference	conference	NOUN
ajst-5931	88	18	on	on	ADP
ajst-5931	88	19	computer	computer	NOUN
ajst-5931	88	20	vision	vision	NOUN
ajst-5931	88	21	and	and	CCONJ
ajst-5931	88	22	pattern	pattern	NOUN
ajst-5931	88	23	recognition	recognition	NOUN
ajst-5931	88	24	.	.	PUNCT
ajst-5931	89	1	2019	2019	NUM
ajst-5931	89	2	:	:	PUNCT
ajst-5931	89	3	8198	8198	NUM
ajst-5931	89	4	-	-	SYM
ajst-5931	89	5	8207	8207	NUM
ajst-5931	89	6	.	.	PUNCT
ajst-5931	90	1	[	[	X
ajst-5931	90	2	6	6	NUM
ajst-5931	90	3	]	]	X
ajst-5931	90	4	gao	gao	PROPN
ajst-5931	90	5	j	j	PROPN
ajst-5931	90	6	,	,	PUNCT
ajst-5931	90	7	han	han	PROPN
ajst-5931	90	8	t	t	PROPN
ajst-5931	90	9	,	,	PUNCT
ajst-5931	90	10	yuan	yuan	PROPN
ajst-5931	90	11	y	y	PROPN
ajst-5931	90	12	,	,	PUNCT
ajst-5931	90	13	et	et	PROPN
ajst-5931	90	14	al	al	PROPN
ajst-5931	90	15	.	.	PUNCT
ajst-5931	90	16	domain	domain	NOUN
ajst-5931	90	17	-	-	PUNCT
ajst-5931	90	18	adaptive	adaptive	ADJ
ajst-5931	90	19	crowd	crowd	NOUN
ajst-5931	90	20	counting	counting	NOUN
ajst-5931	90	21	via	via	ADP
ajst-5931	90	22	high	high	ADJ
ajst-5931	90	23	-	-	PUNCT
ajst-5931	90	24	quality	quality	NOUN
ajst-5931	90	25	image	image	NOUN
ajst-5931	90	26	translation	translation	NOUN
ajst-5931	90	27	and	and	CCONJ
ajst-5931	90	28	density	density	NOUN
ajst-5931	90	29	reconstruction[j	reconstruction[j	PROPN
ajst-5931	90	30	]	]	PUNCT
ajst-5931	90	31	.	.	PUNCT
ajst-5931	91	1	ieee	ieee	NOUN
ajst-5931	91	2	transactions	transaction	NOUN
ajst-5931	91	3	on	on	ADP
ajst-5931	91	4	neural	neural	ADJ
ajst-5931	91	5	networks	network	NOUN
ajst-5931	91	6	and	and	CCONJ
ajst-5931	91	7	learning	learning	NOUN
ajst-5931	91	8	systems	system	NOUN
ajst-5931	91	9	,	,	PUNCT
ajst-5931	91	10	2021	2021	NUM
ajst-5931	91	11	.	.	PUNCT
ajst-5931	92	1	[	[	X
ajst-5931	92	2	7	7	X
ajst-5931	92	3	]	]	X
ajst-5931	92	4	zhang	zhang	PROPN
ajst-5931	92	5	y	y	PROPN
ajst-5931	92	6	,	,	PUNCT
ajst-5931	92	7	zhou	zhou	PROPN
ajst-5931	92	8	d	d	PROPN
ajst-5931	92	9	,	,	PUNCT
ajst-5931	92	10	chen	chen	PROPN
ajst-5931	92	11	s	s	PROPN
ajst-5931	92	12	,	,	PUNCT
ajst-5931	92	13	et	et	PROPN
ajst-5931	92	14	al	al	PROPN
ajst-5931	92	15	.	.	PUNCT
ajst-5931	92	16	single	single	ADJ
ajst-5931	92	17	-	-	PUNCT
ajst-5931	92	18	image	image	NOUN
ajst-5931	92	19	crowd	crowd	NOUN
ajst-5931	92	20	counting	counting	NOUN
ajst-5931	92	21	via	via	ADP
ajst-5931	92	22	multi	multi	ADJ
ajst-5931	92	23	-	-	ADJ
ajst-5931	92	24	column	column	ADJ
ajst-5931	92	25	convolutional	convolutional	ADJ
ajst-5931	92	26	neural	neural	ADJ
ajst-5931	92	27	network	network	NOUN
ajst-5931	92	28	[	[	X
ajst-5931	92	29	c	c	X
ajst-5931	92	30	]	]	X
ajst-5931	92	31	//proceedings	//proceeding	NOUN
ajst-5931	92	32	of	of	ADP
ajst-5931	92	33	the	the	DET
ajst-5931	92	34	ieee	ieee	NOUN
ajst-5931	92	35	conference	conference	NOUN
ajst-5931	92	36	on	on	ADP
ajst-5931	92	37	computer	computer	NOUN
ajst-5931	92	38	vision	vision	NOUN
ajst-5931	92	39	and	and	CCONJ
ajst-5931	92	40	pattern	pattern	NOUN
ajst-5931	92	41	recognition	recognition	NOUN
ajst-5931	92	42	.	.	PUNCT
ajst-5931	93	1	2016	2016	NUM
ajst-5931	93	2	:	:	PUNCT
ajst-5931	93	3	589	589	NUM
ajst-5931	93	4	-	-	SYM
ajst-5931	93	5	597	597	NUM
ajst-5931	93	6	.	.	PUNCT
ajst-5931	94	1	[	[	X
ajst-5931	94	2	8	8	NUM
ajst-5931	94	3	]	]	X
ajst-5931	94	4	chan	chan	X
ajst-5931	94	5	a	a	DET
ajst-5931	94	6	b	b	PROPN
ajst-5931	94	7	,	,	PUNCT
ajst-5931	94	8	liang	liang	PROPN
ajst-5931	94	9	z	z	PROPN
ajst-5931	94	10	s	s	PROPN
ajst-5931	94	11	j	j	PROPN
ajst-5931	94	12	,	,	PUNCT
ajst-5931	94	13	vasconcelos	vasconcelos	PROPN
ajst-5931	94	14	n.	n.	PROPN
ajst-5931	94	15	privacy	privacy	NOUN
ajst-5931	94	16	preserving	preserve	VERB
ajst-5931	94	17	crowd	crowd	NOUN
ajst-5931	94	18	monitoring	monitoring	NOUN
ajst-5931	94	19	:	:	PUNCT
ajst-5931	94	20	counting	count	VERB
ajst-5931	94	21	people	people	NOUN
ajst-5931	94	22	without	without	ADP
ajst-5931	94	23	people	people	NOUN
ajst-5931	94	24	models	model	NOUN
ajst-5931	94	25	or	or	CCONJ
ajst-5931	94	26	tracking[c]//2008	tracking[c]//2008	DET
ajst-5931	94	27	ieee	ieee	NOUN
ajst-5931	94	28	conference	conference	NOUN
ajst-5931	94	29	on	on	ADP
ajst-5931	94	30	computer	computer	NOUN
ajst-5931	94	31	vision	vision	NOUN
ajst-5931	94	32	and	and	CCONJ
ajst-5931	94	33	pattern	pattern	NOUN
ajst-5931	94	34	recognition	recognition	NOUN
ajst-5931	94	35	.	.	PUNCT
ajst-5931	95	1	ieee	ieee	PROPN
ajst-5931	95	2	,	,	PUNCT
ajst-5931	95	3	2008	2008	NUM
ajst-5931	95	4	:	:	PUNCT
ajst-5931	95	5	1	1	NUM
ajst-5931	95	6	-	-	SYM
ajst-5931	95	7	7ision	7ision	NUM
ajst-5931	95	8	,	,	PUNCT
ajst-5931	95	9	2021	2021	NUM
ajst-5931	95	10	,	,	PUNCT
ajst-5931	95	11	129	129	NUM
ajst-5931	95	12	,	,	PUNCT
ajst-5931	95	13	(	(	PUNCT
ajst-5931	95	14	11	11	NUM
ajst-5931	95	15	)	)	PUNCT
ajst-5931	95	16	,	,	PUNCT
ajst-5931	95	17	pp	pp	ADV
ajst-5931	95	18	.	.	PUNCT
ajst-5931	96	1	3051–3068	3051–3068	NUM
ajst-5931	96	2	[	[	X
ajst-5931	96	3	9	9	NUM
ajst-5931	96	4	]	]	X
ajst-5931	96	5	zhang	zhang	PROPN
ajst-5931	96	6	y	y	PROPN
ajst-5931	96	7	,	,	PUNCT
ajst-5931	96	8	zhou	zhou	PROPN
ajst-5931	96	9	d	d	PROPN
ajst-5931	96	10	,	,	PUNCT
ajst-5931	96	11	chen	chen	PROPN
ajst-5931	96	12	s	s	PROPN
ajst-5931	96	13	,	,	PUNCT
ajst-5931	96	14	et	et	PROPN
ajst-5931	96	15	al	al	PROPN
ajst-5931	96	16	.	.	PUNCT
ajst-5931	96	17	single	single	ADJ
ajst-5931	96	18	-	-	PUNCT
ajst-5931	96	19	image	image	NOUN
ajst-5931	96	20	crowd	crowd	NOUN
ajst-5931	96	21	counting	counting	NOUN
ajst-5931	96	22	via	via	ADP
ajst-5931	96	23	multi	multi	ADJ
ajst-5931	96	24	-	-	ADJ
ajst-5931	96	25	column	column	ADJ
ajst-5931	96	26	convolutional	convolutional	ADJ
ajst-5931	96	27	neural	neural	ADJ
ajst-5931	96	28	network	network	NOUN
ajst-5931	96	29	[	[	X
ajst-5931	96	30	c	c	X
ajst-5931	96	31	]	]	X
ajst-5931	96	32	//	//	NUM
ajst-5931	96	33	proceedings	proceeding	NOUN
ajst-5931	96	34	of	of	ADP
ajst-5931	96	35	the	the	DET
ajst-5931	96	36	ieee	ieee	NOUN
ajst-5931	96	37	conference	conference	NOUN
ajst-5931	96	38	on	on	ADP
ajst-5931	96	39	computer	computer	NOUN
ajst-5931	96	40	vision	vision	NOUN
ajst-5931	96	41	and	and	CCONJ
ajst-5931	96	42	pattern	pattern	NOUN
ajst-5931	96	43	recognition	recognition	NOUN
ajst-5931	96	44	.	.	PUNCT
ajst-5931	97	1	2016	2016	NUM
ajst-5931	97	2	:	:	PUNCT
ajst-5931	97	3	589	589	NUM
ajst-5931	97	4	-	-	SYM
ajst-5931	97	5	597	597	NUM
ajst-5931	97	6	.	.	PUNCT
ajst-5931	98	1	[	[	X
ajst-5931	98	2	10	10	NUM
ajst-5931	98	3	]	]	X
ajst-5931	98	4	caesar	caesar	PROPN
ajst-5931	98	5	,	,	PUNCT
ajst-5931	98	6	h.	h.	PROPN
ajst-5931	98	7	,	,	PUNCT
ajst-5931	98	8	uijlings	uijling	NOUN
ajst-5931	98	9	,	,	PUNCT
ajst-5931	98	10	j.	j.	PROPN
ajst-5931	98	11	,	,	PUNCT
ajst-5931	98	12	ferrari	ferrari	PROPN
ajst-5931	98	13	,	,	PUNCT
ajst-5931	98	14	v.	v.	ADV
ajst-5931	98	15	:	:	PUNCT
ajst-5931	98	16	‘	'	PUNCT
ajst-5931	98	17	coco	coco	NOUN
ajst-5931	98	18	-	-	PUNCT
ajst-5931	98	19	stuff	stuff	NOUN
ajst-5931	98	20	:	:	PUNCT
ajst-5931	98	21	thing	thing	NOUN
ajst-5931	98	22	and	and	CCONJ
ajst-5931	98	23	stuff	stuff	NOUN
ajst-5931	98	24	classes	class	NOUN
ajst-5931	98	25	in	in	ADP
ajst-5931	98	26	context’,proceedings	context’,proceeding	NOUN
ajst-5931	98	27	of	of	ADP
ajst-5931	98	28	the	the	DET
ajst-5931	98	29	ieee	ieee	NOUN
ajst-5931	98	30	conference	conference	NOUN
ajst-5931	98	31	on	on	ADP
ajst-5931	98	32	computer	computer	NOUN
ajst-5931	98	33	vision	vision	NOUN
ajst-5931	98	34	and	and	CCONJ
ajst-5931	98	35	pattern	pattern	NOUN
ajst-5931	98	36	recognition,2018	recognition,2018	ADP
ajst-5931	98	37	,	,	PUNCT
ajst-5931	98	38	pp	pp	INTJ
ajst-5931	98	39	.	.	PUNCT
ajst-5931	98	40	1209–1218	1209–1218	NUM