id	sid	tid	token	lemma	pos
ajst-2525	1	1	academic	academic	ADJ
ajst-2525	1	2	journal	journal	NOUN
ajst-2525	1	3	of	of	ADP
ajst-2525	1	4	science	science	NOUN
ajst-2525	1	5	and	and	CCONJ
ajst-2525	1	6	technology	technology	NOUN
ajst-2525	1	7	issn	issn	NOUN
ajst-2525	1	8	:	:	PUNCT
ajst-2525	1	9	2771	2771	NUM
ajst-2525	1	10	-	-	SYM
ajst-2525	1	11	3032	3032	NUM
ajst-2525	1	12	|	|	NOUN
ajst-2525	1	13	vol	vol	NOUN
ajst-2525	1	14	.	.	PROPN
ajst-2525	2	1	3	3	NUM
ajst-2525	2	2	,	,	PUNCT
ajst-2525	2	3	no	no	INTJ
ajst-2525	2	4	.	.	NOUN
ajst-2525	2	5	3	3	NUM
ajst-2525	2	6	,	,	PUNCT
ajst-2525	2	7	2022	2022	NUM
ajst-2525	2	8	12	12	NUM
ajst-2525	2	9	fall	fall	NOUN
ajst-2525	2	10	detection	detection	NOUN
ajst-2525	2	11	algorithm	algorithm	NOUN
ajst-2525	2	12	based	base	VERB
ajst-2525	2	13	on	on	ADP
ajst-2525	2	14	lightweight	lightweight	PROPN
ajst-2525	2	15	openpose	openpose	PROPN
ajst-2525	2	16	model	model	NOUN
ajst-2525	2	17	with	with	ADP
ajst-2525	2	18	attention	attention	NOUN
ajst-2525	2	19	mechanism	mechanism	NOUN
ajst-2525	2	20	ruiming	ruime	VERB
ajst-2525	2	21	qiu	qiu	PROPN
ajst-2525	2	22	,	,	PUNCT
ajst-2525	2	23	wei	wei	PROPN
ajst-2525	2	24	teng	teng	PROPN
ajst-2525	2	25	*	*	PROPN
ajst-2525	2	26	,	,	PUNCT
ajst-2525	2	27	zihe	zihe	PROPN
ajst-2525	2	28	wei	wei	PROPN
ajst-2525	2	29	,	,	PUNCT
ajst-2525	2	30	cong	cong	PROPN
ajst-2525	2	31	zhang	zhang	PROPN
ajst-2525	2	32	,	,	PUNCT
ajst-2525	2	33	yipeng	yipeng	PROPN
ajst-2525	2	34	zhong	zhong	PROPN
ajst-2525	2	35	and	and	CCONJ
ajst-2525	2	36	junhao	junhao	PROPN
ajst-2525	2	37	zhai	zhai	PROPN
ajst-2525	2	38	school	school	NOUN
ajst-2525	2	39	of	of	ADP
ajst-2525	2	40	computer	computer	NOUN
ajst-2525	2	41	and	and	CCONJ
ajst-2525	2	42	software	software	NOUN
ajst-2525	2	43	engineering	engineering	NOUN
ajst-2525	2	44	,	,	PUNCT
ajst-2525	2	45	university	university	NOUN
ajst-2525	2	46	of	of	ADP
ajst-2525	2	47	science	science	NOUN
ajst-2525	2	48	and	and	CCONJ
ajst-2525	2	49	technology	technology	NOUN
ajst-2525	2	50	liaoning	liaoning	NOUN
ajst-2525	2	51	,	,	PUNCT
ajst-2525	2	52	anshan	anshan	PROPN
ajst-2525	2	53	114051	114051	NUM
ajst-2525	2	54	,	,	PUNCT
ajst-2525	2	55	china	china	PROPN
ajst-2525	2	56	abstract	abstract	NOUN
ajst-2525	2	57	:	:	PUNCT
ajst-2525	2	58	at	at	ADP
ajst-2525	2	59	present	present	ADJ
ajst-2525	2	60	,	,	PUNCT
ajst-2525	2	61	the	the	DET
ajst-2525	2	62	serious	serious	ADJ
ajst-2525	2	63	consequences	consequence	NOUN
ajst-2525	2	64	caused	cause	VERB
ajst-2525	2	65	by	by	ADP
ajst-2525	2	66	the	the	DET
ajst-2525	2	67	fall	fall	NOUN
ajst-2525	2	68	of	of	ADP
ajst-2525	2	69	the	the	DET
ajst-2525	2	70	elderly	elderly	ADJ
ajst-2525	2	71	emerge	emerge	VERB
ajst-2525	2	72	one	one	NUM
ajst-2525	2	73	after	after	ADP
ajst-2525	2	74	another	another	PRON
ajst-2525	2	75	,	,	PUNCT
ajst-2525	2	76	and	and	CCONJ
ajst-2525	2	77	installing	instal	VERB
ajst-2525	2	78	cameras	camera	NOUN
ajst-2525	2	79	at	at	ADP
ajst-2525	2	80	home	home	NOUN
ajst-2525	2	81	to	to	PART
ajst-2525	2	82	prevent	prevent	VERB
ajst-2525	2	83	emergencies	emergency	NOUN
ajst-2525	2	84	for	for	ADP
ajst-2525	2	85	the	the	DET
ajst-2525	2	86	elderly	elderly	ADJ
ajst-2525	2	87	has	have	AUX
ajst-2525	2	88	gradually	gradually	ADV
ajst-2525	2	89	become	become	VERB
ajst-2525	2	90	a	a	DET
ajst-2525	2	91	choice	choice	NOUN
ajst-2525	2	92	for	for	ADP
ajst-2525	2	93	more	more	ADJ
ajst-2525	2	94	and	and	CCONJ
ajst-2525	2	95	more	more	ADJ
ajst-2525	2	96	people	people	NOUN
ajst-2525	2	97	.	.	PUNCT
ajst-2525	3	1	however	however	ADV
ajst-2525	3	2	,	,	PUNCT
ajst-2525	3	3	the	the	DET
ajst-2525	3	4	traditional	traditional	ADJ
ajst-2525	3	5	openpose	openpose	NOUN
ajst-2525	3	6	model	model	NOUN
ajst-2525	3	7	can	can	AUX
ajst-2525	3	8	not	not	PART
ajst-2525	3	9	detect	detect	VERB
ajst-2525	3	10	in	in	ADP
ajst-2525	3	11	real	real	ADJ
ajst-2525	3	12	time	time	NOUN
ajst-2525	3	13	,	,	PUNCT
ajst-2525	3	14	which	which	PRON
ajst-2525	3	15	is	be	AUX
ajst-2525	3	16	inconsistent	inconsistent	ADJ
ajst-2525	3	17	with	with	ADP
ajst-2525	3	18	the	the	DET
ajst-2525	3	19	actual	actual	ADJ
ajst-2525	3	20	demand	demand	NOUN
ajst-2525	3	21	.	.	PUNCT
ajst-2525	4	1	therefore	therefore	ADV
ajst-2525	4	2	,	,	PUNCT
ajst-2525	4	3	this	this	DET
ajst-2525	4	4	paper	paper	NOUN
ajst-2525	4	5	first	first	ADV
ajst-2525	4	6	proposes	propose	VERB
ajst-2525	4	7	to	to	PART
ajst-2525	4	8	use	use	VERB
ajst-2525	4	9	mobilenetv2	mobilenetv2	PROPN
ajst-2525	4	10	lightweight	lightweight	ADJ
ajst-2525	4	11	network	network	NOUN
ajst-2525	4	12	to	to	PART
ajst-2525	4	13	replace	replace	VERB
ajst-2525	4	14	the	the	DET
ajst-2525	4	15	original	original	ADJ
ajst-2525	4	16	huge	huge	ADJ
ajst-2525	4	17	vgg19	vgg19	NOUN
ajst-2525	4	18	backbone	backbone	NOUN
ajst-2525	4	19	network	network	NOUN
ajst-2525	4	20	,	,	PUNCT
ajst-2525	4	21	which	which	PRON
ajst-2525	4	22	makes	make	VERB
ajst-2525	4	23	the	the	DET
ajst-2525	4	24	model	model	NOUN
ajst-2525	4	25	real	real	ADJ
ajst-2525	4	26	-	-	PUNCT
ajst-2525	4	27	time	time	NOUN
ajst-2525	4	28	in	in	ADP
ajst-2525	4	29	actual	actual	ADJ
ajst-2525	4	30	use	use	NOUN
ajst-2525	4	31	,	,	PUNCT
ajst-2525	4	32	and	and	CCONJ
ajst-2525	4	33	then	then	ADV
ajst-2525	4	34	integrates	integrate	VERB
ajst-2525	4	35	the	the	DET
ajst-2525	4	36	attention	attention	NOUN
ajst-2525	4	37	mechanism	mechanism	NOUN
ajst-2525	4	38	module	module	NOUN
ajst-2525	4	39	to	to	PART
ajst-2525	4	40	improve	improve	VERB
ajst-2525	4	41	the	the	DET
ajst-2525	4	42	accuracy	accuracy	NOUN
ajst-2525	4	43	of	of	ADP
ajst-2525	4	44	the	the	DET
ajst-2525	4	45	model	model	NOUN
ajst-2525	4	46	without	without	ADP
ajst-2525	4	47	affecting	affect	VERB
ajst-2525	4	48	the	the	DET
ajst-2525	4	49	real	real	ADJ
ajst-2525	4	50	-	-	PUNCT
ajst-2525	4	51	time	time	NOUN
ajst-2525	4	52	.	.	PUNCT
ajst-2525	5	1	keywords	keyword	NOUN
ajst-2525	5	2	:	:	PUNCT
ajst-2525	5	3	fall	fall	VERB
ajst-2525	5	4	detection	detection	NOUN
ajst-2525	5	5	,	,	PUNCT
ajst-2525	5	6	lightweight	lightweight	ADJ
ajst-2525	5	7	openpose	openpose	NOUN
ajst-2525	5	8	,	,	PUNCT
ajst-2525	5	9	attention	attention	NOUN
ajst-2525	5	10	mechanism	mechanism	NOUN
ajst-2525	5	11	.	.	PUNCT
ajst-2525	6	1	1	1	X
ajst-2525	6	2	.	.	X
ajst-2525	6	3	introduction	introduction	NOUN
ajst-2525	6	4	according	accord	VERB
ajst-2525	6	5	to	to	ADP
ajst-2525	6	6	the	the	DET
ajst-2525	6	7	international	international	ADJ
ajst-2525	6	8	classification	classification	NOUN
ajst-2525	6	9	of	of	ADP
ajst-2525	6	10	diseases	disease	NOUN
ajst-2525	6	11	,	,	PUNCT
ajst-2525	6	12	falls	fall	VERB
ajst-2525	6	13	can	can	AUX
ajst-2525	6	14	be	be	AUX
ajst-2525	6	15	divided	divide	VERB
ajst-2525	6	16	into	into	ADP
ajst-2525	6	17	two	two	NUM
ajst-2525	6	18	categories	category	NOUN
ajst-2525	6	19	:	:	PUNCT
ajst-2525	6	20	falls	fall	VERB
ajst-2525	6	21	from	from	ADP
ajst-2525	6	22	one	one	NUM
ajst-2525	6	23	plane	plane	NOUN
ajst-2525	6	24	to	to	ADP
ajst-2525	6	25	another	another	PRON
ajst-2525	6	26	and	and	CCONJ
ajst-2525	6	27	falls	fall	VERB
ajst-2525	6	28	from	from	ADP
ajst-2525	6	29	the	the	DET
ajst-2525	6	30	same	same	ADJ
ajst-2525	6	31	plane	plane	NOUN
ajst-2525	6	32	.	.	PUNCT
ajst-2525	7	1	globally	globally	ADV
ajst-2525	7	2	,	,	PUNCT
ajst-2525	7	3	falls	fall	VERB
ajst-2525	7	4	are	be	AUX
ajst-2525	7	5	an	an	DET
ajst-2525	7	6	important	important	ADJ
ajst-2525	7	7	public	public	ADJ
ajst-2525	7	8	health	health	NOUN
ajst-2525	7	9	problem	problem	NOUN
ajst-2525	7	10	and	and	CCONJ
ajst-2525	7	11	have	have	AUX
ajst-2525	7	12	become	become	VERB
ajst-2525	7	13	the	the	DET
ajst-2525	7	14	leading	lead	VERB
ajst-2525	7	15	cause	cause	NOUN
ajst-2525	7	16	of	of	ADP
ajst-2525	7	17	unintentional	unintentional	ADJ
ajst-2525	7	18	injury	injury	NOUN
ajst-2525	7	19	death	death	NOUN
ajst-2525	7	20	.	.	PUNCT
ajst-2525	8	1	in	in	ADP
ajst-2525	8	2	our	our	PRON
ajst-2525	8	3	country	country	NOUN
ajst-2525	8	4	,	,	PUNCT
ajst-2525	8	5	every	every	DET
ajst-2525	8	6	year	year	NOUN
ajst-2525	8	7	more	more	ADJ
ajst-2525	8	8	than	than	ADP
ajst-2525	8	9	40	40	NUM
ajst-2525	8	10	million	million	NUM
ajst-2525	8	11	elderly	elderly	ADJ
ajst-2525	8	12	people	people	NOUN
ajst-2525	8	13	fall	fall	VERB
ajst-2525	8	14	,	,	PUNCT
ajst-2525	8	15	which	which	PRON
ajst-2525	8	16	has	have	AUX
ajst-2525	8	17	also	also	ADV
ajst-2525	8	18	become	become	VERB
ajst-2525	8	19	an	an	DET
ajst-2525	8	20	important	important	ADJ
ajst-2525	8	21	hidden	hide	VERB
ajst-2525	8	22	trouble	trouble	NOUN
ajst-2525	8	23	that	that	PRON
ajst-2525	8	24	causes	cause	VERB
ajst-2525	8	25	the	the	DET
ajst-2525	8	26	old	old	ADJ
ajst-2525	8	27	people	people	NOUN
ajst-2525	8	28	's	's	PART
ajst-2525	8	29	physical	physical	ADJ
ajst-2525	8	30	problems	problem	NOUN
ajst-2525	8	31	.	.	PUNCT
ajst-2525	9	1	therefore	therefore	ADV
ajst-2525	9	2	,	,	PUNCT
ajst-2525	9	3	with	with	ADP
ajst-2525	9	4	the	the	DET
ajst-2525	9	5	fall	fall	NOUN
ajst-2525	9	6	detection	detection	NOUN
ajst-2525	9	7	model	model	NOUN
ajst-2525	9	8	and	and	CCONJ
ajst-2525	9	9	algorithm	algorithm	NOUN
ajst-2525	9	10	,	,	PUNCT
ajst-2525	9	11	the	the	DET
ajst-2525	9	12	home	home	NOUN
ajst-2525	9	13	camera	camera	NOUN
ajst-2525	9	14	can	can	AUX
ajst-2525	9	15	play	play	VERB
ajst-2525	9	16	a	a	DET
ajst-2525	9	17	good	good	ADJ
ajst-2525	9	18	role	role	NOUN
ajst-2525	9	19	in	in	ADP
ajst-2525	9	20	detection	detection	NOUN
ajst-2525	9	21	and	and	CCONJ
ajst-2525	9	22	reminder	reminder	NOUN
ajst-2525	9	23	.	.	PUNCT
ajst-2525	10	1	however	however	ADV
ajst-2525	10	2	,	,	PUNCT
ajst-2525	10	3	the	the	DET
ajst-2525	10	4	traditional	traditional	ADJ
ajst-2525	10	5	openpose	openpose	NOUN
ajst-2525	10	6	detection	detection	NOUN
ajst-2525	10	7	model	model	NOUN
ajst-2525	10	8	lacks	lack	VERB
ajst-2525	10	9	real	real	ADJ
ajst-2525	10	10	-	-	PUNCT
ajst-2525	10	11	time	time	NOUN
ajst-2525	10	12	performance	performance	NOUN
ajst-2525	10	13	in	in	ADP
ajst-2525	10	14	practical	practical	ADJ
ajst-2525	10	15	application	application	NOUN
ajst-2525	10	16	,	,	PUNCT
ajst-2525	10	17	so	so	SCONJ
ajst-2525	10	18	we	we	PRON
ajst-2525	10	19	need	need	VERB
ajst-2525	10	20	to	to	PART
ajst-2525	10	21	use	use	VERB
ajst-2525	10	22	lightweight	lightweight	ADJ
ajst-2525	10	23	backbone	backbone	NOUN
ajst-2525	10	24	network	network	NOUN
ajst-2525	10	25	mobilenetv2	mobilenetv2	NOUN
ajst-2525	10	26	to	to	PART
ajst-2525	10	27	improve	improve	VERB
ajst-2525	10	28	the	the	DET
ajst-2525	10	29	original	original	ADJ
ajst-2525	10	30	model	model	NOUN
ajst-2525	10	31	,	,	PUNCT
ajst-2525	10	32	so	so	SCONJ
ajst-2525	10	33	as	as	SCONJ
ajst-2525	10	34	to	to	PART
ajst-2525	10	35	realize	realize	VERB
ajst-2525	10	36	real	real	ADJ
ajst-2525	10	37	-	-	PUNCT
ajst-2525	10	38	time	time	NOUN
ajst-2525	10	39	monitoring	monitoring	NOUN
ajst-2525	10	40	.	.	PUNCT
ajst-2525	11	1	2	2	X
ajst-2525	11	2	.	.	X
ajst-2525	11	3	introduction	introduction	NOUN
ajst-2525	11	4	and	and	CCONJ
ajst-2525	11	5	shortcomings	shortcoming	NOUN
ajst-2525	11	6	of	of	ADP
ajst-2525	11	7	openpose	openpose	PRON
ajst-2525	11	8	when	when	SCONJ
ajst-2525	11	9	it	it	PRON
ajst-2525	11	10	comes	come	VERB
ajst-2525	11	11	to	to	ADP
ajst-2525	11	12	algorithms	algorithm	NOUN
ajst-2525	11	13	related	relate	VERB
ajst-2525	11	14	to	to	AUX
ajst-2525	11	15	pose	pose	VERB
ajst-2525	11	16	estimation	estimation	NOUN
ajst-2525	11	17	,	,	PUNCT
ajst-2525	11	18	openpose[2	openpose[2	PROPN
ajst-2525	11	19	]	]	PUNCT
ajst-2525	11	20	has	have	VERB
ajst-2525	11	21	a	a	DET
ajst-2525	11	22	considerable	considerable	ADJ
ajst-2525	11	23	influence	influence	NOUN
ajst-2525	11	24	in	in	ADP
ajst-2525	11	25	this	this	DET
ajst-2525	11	26	field	field	NOUN
ajst-2525	11	27	.	.	PUNCT
ajst-2525	12	1	figure	figure	NOUN
ajst-2525	12	2	1	1	NUM
ajst-2525	12	3	.	.	PUNCT
ajst-2525	12	4	openpose	openpose	PROPN
ajst-2525	12	5	network	network	NOUN
ajst-2525	12	6	structure	structure	NOUN
ajst-2525	12	7	diagram	diagram	NOUN
ajst-2525	12	8	after	after	SCONJ
ajst-2525	12	9	the	the	DET
ajst-2525	12	10	corresponding	corresponding	ADJ
ajst-2525	12	11	features	feature	NOUN
ajst-2525	12	12	of	of	ADP
ajst-2525	12	13	the	the	DET
ajst-2525	12	14	picture	picture	NOUN
ajst-2525	12	15	are	be	AUX
ajst-2525	12	16	extracted	extract	VERB
ajst-2525	12	17	through	through	ADP
ajst-2525	12	18	the	the	DET
ajst-2525	12	19	backbone	backbone	NOUN
ajst-2525	12	20	network	network	NOUN
ajst-2525	12	21	,	,	PUNCT
ajst-2525	12	22	these	these	DET
ajst-2525	12	23	features	feature	NOUN
ajst-2525	12	24	will	will	AUX
ajst-2525	12	25	enter	enter	VERB
ajst-2525	12	26	into	into	ADP
ajst-2525	12	27	different	different	ADJ
ajst-2525	12	28	stage	stage	NOUN
ajst-2525	12	29	modules	module	NOUN
ajst-2525	12	30	,	,	PUNCT
ajst-2525	12	31	and	and	CCONJ
ajst-2525	12	32	pcm	pcm	NOUN
ajst-2525	12	33	and	and	CCONJ
ajst-2525	12	34	paf	paf	PROPN
ajst-2525	12	35	in	in	ADP
ajst-2525	12	36	each	each	DET
ajst-2525	12	37	stage	stage	NOUN
ajst-2525	12	38	will	will	AUX
ajst-2525	12	39	conduct	conduct	VERB
ajst-2525	12	40	loss	loss	NOUN
ajst-2525	12	41	processing	processing	NOUN
ajst-2525	12	42	and	and	CCONJ
ajst-2525	12	43	solve	solve	NOUN
ajst-2525	12	44	.	.	PUNCT
ajst-2525	13	1	pcm	pcm	NOUN
ajst-2525	13	2	is	be	AUX
ajst-2525	13	3	the	the	DET
ajst-2525	13	4	thermal	thermal	ADJ
ajst-2525	13	5	map	map	NOUN
ajst-2525	13	6	of	of	ADP
ajst-2525	13	7	the	the	DET
ajst-2525	13	8	key	key	ADJ
ajst-2525	13	9	point	point	NOUN
ajst-2525	13	10	to	to	PART
ajst-2525	13	11	represent	represent	VERB
ajst-2525	13	12	the	the	DET
ajst-2525	13	13	position	position	NOUN
ajst-2525	13	14	of	of	ADP
ajst-2525	13	15	the	the	DET
ajst-2525	13	16	key	key	ADJ
ajst-2525	13	17	point	point	NOUN
ajst-2525	13	18	.	.	PUNCT
ajst-2525	14	1	paf	paf	PROPN
ajst-2525	14	2	is	be	AUX
ajst-2525	14	3	the	the	DET
ajst-2525	14	4	core	core	NOUN
ajst-2525	14	5	of	of	ADP
ajst-2525	14	6	openpose	openpose	NOUN
ajst-2525	14	7	,	,	PUNCT
ajst-2525	14	8	namely	namely	ADV
ajst-2525	14	9	the	the	DET
ajst-2525	14	10	affinity	affinity	NOUN
ajst-2525	14	11	field	field	NOUN
ajst-2525	14	12	of	of	ADP
ajst-2525	14	13	key	key	ADJ
ajst-2525	14	14	points	point	NOUN
ajst-2525	14	15	,	,	PUNCT
ajst-2525	14	16	to	to	PART
ajst-2525	14	17	determine	determine	VERB
ajst-2525	14	18	the	the	DET
ajst-2525	14	19	affinity	affinity	NOUN
ajst-2525	14	20	between	between	ADP
ajst-2525	14	21	different	different	ADJ
ajst-2525	14	22	key	key	ADJ
ajst-2525	14	23	points	point	NOUN
ajst-2525	14	24	.	.	PUNCT
ajst-2525	15	1	makes	make	VERB
ajst-2525	15	2	it	it	PRON
ajst-2525	15	3	impossible	impossible	ADJ
ajst-2525	15	4	for	for	SCONJ
ajst-2525	15	5	openpose	openpose	NUM
ajst-2525	15	6	real	real	ADJ
ajst-2525	15	7	-	-	PUNCT
ajst-2525	15	8	time	time	NOUN
ajst-2525	15	9	vgg19	vgg19	PROPN
ajst-2525	15	10	is	be	AUX
ajst-2525	15	11	its	its	PRON
ajst-2525	15	12	backbone	backbone	NOUN
ajst-2525	15	13	network	network	NOUN
ajst-2525	15	14	,	,	PUNCT
ajst-2525	15	15	the	the	DET
ajst-2525	15	16	main	main	ADJ
ajst-2525	15	17	reasons	reason	NOUN
ajst-2525	15	18	for	for	ADP
ajst-2525	15	19	its	its	PRON
ajst-2525	15	20	every	every	DET
ajst-2525	15	21	layer	layer	NOUN
ajst-2525	15	22	neural	neural	ADJ
ajst-2525	15	23	network	network	NOUN
ajst-2525	15	24	combined	combine	VERB
ajst-2525	15	25	with	with	ADP
ajst-2525	15	26	a	a	DET
ajst-2525	15	27	layer	layer	NOUN
ajst-2525	15	28	of	of	ADP
ajst-2525	15	29	output	output	NOUN
ajst-2525	15	30	for	for	ADP
ajst-2525	15	31	more	more	ADJ
ajst-2525	15	32	complex	complex	ADJ
ajst-2525	15	33	features	feature	NOUN
ajst-2525	15	34	extraction	extraction	NOUN
ajst-2525	15	35	,	,	PUNCT
ajst-2525	15	36	including	include	VERB
ajst-2525	15	37	16	16	NUM
ajst-2525	15	38	layer	layer	NOUN
ajst-2525	15	39	convolution	convolution	NOUN
ajst-2525	15	40	with	with	ADP
ajst-2525	15	41	3	3	NUM
ajst-2525	15	42	full	full	ADJ
ajst-2525	15	43	connection	connection	NOUN
ajst-2525	15	44	layer	layer	NOUN
ajst-2525	15	45	,	,	PUNCT
ajst-2525	15	46	which	which	PRON
ajst-2525	15	47	makes	make	VERB
ajst-2525	15	48	the	the	DET
ajst-2525	15	49	feature	feature	NOUN
ajst-2525	15	50	extraction	extraction	NOUN
ajst-2525	15	51	accuracy	accuracy	NOUN
ajst-2525	15	52	while	while	SCONJ
ajst-2525	15	53	compared	compare	VERB
ajst-2525	15	54	with	with	ADP
ajst-2525	15	55	other	other	ADJ
ajst-2525	15	56	backbone	backbone	NOUN
ajst-2525	15	57	network	network	NOUN
ajst-2525	15	58	has	have	VERB
ajst-2525	15	59	good	good	ADJ
ajst-2525	15	60	advantage	advantage	NOUN
ajst-2525	15	61	,	,	PUNCT
ajst-2525	15	62	however	however	ADV
ajst-2525	15	63	,	,	PUNCT
ajst-2525	15	64	the	the	DET
ajst-2525	15	65	complexity	complexity	NOUN
ajst-2525	15	66	and	and	CCONJ
ajst-2525	15	67	redundancy	redundancy	NOUN
ajst-2525	15	68	of	of	ADP
ajst-2525	15	69	the	the	DET
ajst-2525	15	70	network	network	NOUN
ajst-2525	15	71	will	will	AUX
ajst-2525	15	72	be	be	AUX
ajst-2525	15	73	greatly	greatly	ADV
ajst-2525	15	74	increased	increase	VERB
ajst-2525	15	75	accordingly	accordingly	ADV
ajst-2525	15	76	.	.	PUNCT
ajst-2525	16	1	the	the	DET
ajst-2525	16	2	main	main	ADJ
ajst-2525	16	3	feature	feature	NOUN
ajst-2525	16	4	of	of	ADP
ajst-2525	16	5	the	the	DET
ajst-2525	16	6	vgg	vgg	PROPN
ajst-2525	16	7	network	network	NOUN
ajst-2525	16	8	model	model	NOUN
ajst-2525	16	9	is	be	AUX
ajst-2525	16	10	to	to	PART
ajst-2525	16	11	use	use	VERB
ajst-2525	16	12	convolution	convolution	NOUN
ajst-2525	16	13	kernels	kernel	NOUN
ajst-2525	16	14	of	of	ADP
ajst-2525	16	15	3	3	NUM
ajst-2525	16	16	*	*	SYM
ajst-2525	16	17	3	3	NUM
ajst-2525	16	18	size	size	NOUN
ajst-2525	16	19	to	to	PART
ajst-2525	16	20	replace	replace	VERB
ajst-2525	16	21	the	the	DET
ajst-2525	16	22	original	original	ADJ
ajst-2525	16	23	convolution	convolution	NOUN
ajst-2525	16	24	kernels	kernel	NOUN
ajst-2525	16	25	of	of	ADP
ajst-2525	16	26	larger	large	ADJ
ajst-2525	16	27	size	size	NOUN
ajst-2525	16	28	and	and	CCONJ
ajst-2525	16	29	accumulate	accumulate	VERB
ajst-2525	16	30	them	they	PRON
ajst-2525	16	31	to	to	PART
ajst-2525	16	32	form	form	VERB
ajst-2525	16	33	a	a	DET
ajst-2525	16	34	neural	neural	ADJ
ajst-2525	16	35	network	network	NOUN
ajst-2525	16	36	.	.	PUNCT
ajst-2525	17	1	in	in	ADP
ajst-2525	17	2	this	this	DET
ajst-2525	17	3	way	way	NOUN
ajst-2525	17	4	,	,	PUNCT
ajst-2525	17	5	the	the	DET
ajst-2525	17	6	depth	depth	NOUN
ajst-2525	17	7	of	of	ADP
ajst-2525	17	8	the	the	DET
ajst-2525	17	9	whole	whole	ADJ
ajst-2525	17	10	neural	neural	ADJ
ajst-2525	17	11	network	network	NOUN
ajst-2525	17	12	can	can	AUX
ajst-2525	17	13	be	be	AUX
ajst-2525	17	14	deepened	deepen	VERB
ajst-2525	17	15	and	and	CCONJ
ajst-2525	17	16	the	the	DET
ajst-2525	17	17	overall	overall	ADJ
ajst-2525	17	18	performance	performance	NOUN
ajst-2525	17	19	of	of	ADP
ajst-2525	17	20	the	the	DET
ajst-2525	17	21	model	model	NOUN
ajst-2525	17	22	can	can	AUX
ajst-2525	17	23	be	be	AUX
ajst-2525	17	24	improved	improve	VERB
ajst-2525	17	25	.	.	PUNCT
ajst-2525	18	1	although	although	SCONJ
ajst-2525	18	2	the	the	DET
ajst-2525	18	3	structure	structure	NOUN
ajst-2525	18	4	is	be	AUX
ajst-2525	18	5	simple	simple	ADJ
ajst-2525	18	6	,	,	PUNCT
ajst-2525	18	7	it	it	PRON
ajst-2525	18	8	is	be	AUX
ajst-2525	18	9	difficult	difficult	ADJ
ajst-2525	18	10	to	to	PART
ajst-2525	18	11	carry	carry	VERB
ajst-2525	18	12	out	out	ADP
ajst-2525	18	13	real	real	ADJ
ajst-2525	18	14	-	-	PUNCT
ajst-2525	18	15	time	time	NOUN
ajst-2525	18	16	detection	detection	NOUN
ajst-2525	18	17	and	and	CCONJ
ajst-2525	18	18	classification	classification	NOUN
ajst-2525	18	19	because	because	SCONJ
ajst-2525	18	20	of	of	ADP
ajst-2525	18	21	the	the	DET
ajst-2525	18	22	large	large	ADJ
ajst-2525	18	23	number	number	NOUN
ajst-2525	18	24	of	of	ADP
ajst-2525	18	25	network	network	NOUN
ajst-2525	18	26	layers	layer	NOUN
ajst-2525	18	27	.	.	PUNCT
ajst-2525	19	1	13	13	NUM
ajst-2525	19	2	3	3	NUM
ajst-2525	19	3	.	.	PUNCT
ajst-2525	20	1	mobilenetv2	mobilenetv2	PROPN
ajst-2525	20	2	lightweight	lightweight	ADJ
ajst-2525	20	3	network	network	NOUN
ajst-2525	20	4	in	in	ADP
ajst-2525	20	5	order	order	NOUN
ajst-2525	20	6	to	to	PART
ajst-2525	20	7	enable	enable	VERB
ajst-2525	20	8	the	the	DET
ajst-2525	20	9	fall	fall	NOUN
ajst-2525	20	10	detection	detection	NOUN
ajst-2525	20	11	task	task	NOUN
ajst-2525	20	12	to	to	PART
ajst-2525	20	13	be	be	AUX
ajst-2525	20	14	carried	carry	VERB
ajst-2525	20	15	out	out	ADP
ajst-2525	20	16	in	in	ADP
ajst-2525	20	17	real	real	ADJ
ajst-2525	20	18	time	time	NOUN
ajst-2525	20	19	and	and	CCONJ
ajst-2525	20	20	maintain	maintain	VERB
ajst-2525	20	21	a	a	DET
ajst-2525	20	22	relatively	relatively	ADV
ajst-2525	20	23	good	good	ADJ
ajst-2525	20	24	detection	detection	NOUN
ajst-2525	20	25	accuracy	accuracy	NOUN
ajst-2525	20	26	,	,	PUNCT
ajst-2525	20	27	we	we	PRON
ajst-2525	20	28	use	use	VERB
ajst-2525	20	29	the	the	DET
ajst-2525	20	30	classic	classic	ADJ
ajst-2525	20	31	mobilenet[3	mobilenet[3	NUM
ajst-2525	20	32	]	]	X
ajst-2525	20	33	lightweight	lightweight	ADJ
ajst-2525	20	34	network	network	NOUN
ajst-2525	20	35	series	series	NOUN
ajst-2525	20	36	.	.	PUNCT
ajst-2525	21	1	although	although	SCONJ
ajst-2525	21	2	the	the	DET
ajst-2525	21	3	accuracy	accuracy	NOUN
ajst-2525	21	4	is	be	AUX
ajst-2525	21	5	slightly	slightly	ADV
ajst-2525	21	6	reduced	reduce	VERB
ajst-2525	21	7	compared	compare	VERB
ajst-2525	21	8	with	with	ADP
ajst-2525	21	9	the	the	DET
ajst-2525	21	10	vgg	vgg	PROPN
ajst-2525	21	11	network	network	NOUN
ajst-2525	21	12	series	series	NOUN
ajst-2525	21	13	,	,	PUNCT
ajst-2525	21	14	the	the	DET
ajst-2525	21	15	number	number	NOUN
ajst-2525	21	16	of	of	ADP
ajst-2525	21	17	parameters	parameter	NOUN
ajst-2525	21	18	and	and	CCONJ
ajst-2525	21	19	the	the	DET
ajst-2525	21	20	number	number	NOUN
ajst-2525	21	21	of	of	ADP
ajst-2525	21	22	network	network	NOUN
ajst-2525	21	23	layers	layer	NOUN
ajst-2525	21	24	are	be	AUX
ajst-2525	21	25	significantly	significantly	ADV
ajst-2525	21	26	reduced	reduce	VERB
ajst-2525	21	27	,	,	PUNCT
ajst-2525	21	28	making	make	VERB
ajst-2525	21	29	it	it	PRON
ajst-2525	21	30	able	able	ADJ
ajst-2525	21	31	to	to	PART
ajst-2525	21	32	complete	complete	VERB
ajst-2525	21	33	the	the	DET
ajst-2525	21	34	real	real	ADJ
ajst-2525	21	35	-	-	PUNCT
ajst-2525	21	36	time	time	NOUN
ajst-2525	21	37	detection	detection	NOUN
ajst-2525	21	38	task	task	NOUN
ajst-2525	21	39	well	well	ADV
ajst-2525	21	40	.	.	PUNCT
ajst-2525	22	1	in	in	ADP
ajst-2525	22	2	this	this	DET
ajst-2525	22	3	series	series	NOUN
ajst-2525	22	4	,	,	PUNCT
ajst-2525	22	5	we	we	PRON
ajst-2525	22	6	use	use	VERB
ajst-2525	22	7	the	the	DET
ajst-2525	22	8	mobilenetv2	mobilenetv2	PROPN
ajst-2525	22	9	lightweight	lightweight	ADJ
ajst-2525	22	10	network	network	NOUN
ajst-2525	22	11	.	.	PUNCT
ajst-2525	23	1	the	the	DET
ajst-2525	23	2	mobilenet	mobilenet	NOUN
ajst-2525	23	3	v2	v2	PROPN
ajst-2525	23	4	network	network	NOUN
ajst-2525	23	5	was	be	AUX
ajst-2525	23	6	proposed	propose	VERB
ajst-2525	23	7	by	by	ADP
ajst-2525	23	8	the	the	DET
ajst-2525	23	9	google	google	PROPN
ajst-2525	23	10	team	team	NOUN
ajst-2525	23	11	in	in	ADP
ajst-2525	23	12	2018	2018	NUM
ajst-2525	23	13	.	.	PUNCT
ajst-2525	24	1	compared	compare	VERB
ajst-2525	24	2	with	with	ADP
ajst-2525	24	3	the	the	DET
ajst-2525	24	4	mobilenet	mobilenet	NOUN
ajst-2525	24	5	v1	v1	NOUN
ajst-2525	24	6	network	network	NOUN
ajst-2525	24	7	,	,	PUNCT
ajst-2525	24	8	the	the	DET
ajst-2525	24	9	accuracy	accuracy	NOUN
ajst-2525	24	10	is	be	AUX
ajst-2525	24	11	higher	high	ADJ
ajst-2525	24	12	and	and	CCONJ
ajst-2525	24	13	the	the	DET
ajst-2525	24	14	model	model	NOUN
ajst-2525	24	15	is	be	AUX
ajst-2525	24	16	smaller	small	ADJ
ajst-2525	24	17	.	.	PUNCT
ajst-2525	25	1	the	the	DET
ajst-2525	25	2	mobilenetv2	mobilenetv2	PROPN
ajst-2525	25	3	lightweight	lightweight	PROPN
ajst-2525	25	4	network	network	NOUN
ajst-2525	25	5	has	have	VERB
ajst-2525	25	6	two	two	NUM
ajst-2525	25	7	main	main	ADJ
ajst-2525	25	8	highlights	highlight	NOUN
ajst-2525	25	9	:	:	PUNCT
ajst-2525	25	10	the	the	DET
ajst-2525	25	11	first	first	ADJ
ajst-2525	25	12	point	point	NOUN
ajst-2525	25	13	is	be	AUX
ajst-2525	25	14	that	that	SCONJ
ajst-2525	25	15	it	it	PRON
ajst-2525	25	16	uses	use	VERB
ajst-2525	25	17	the	the	DET
ajst-2525	25	18	residual	residual	ADJ
ajst-2525	25	19	structure	structure	NOUN
ajst-2525	25	20	,	,	PUNCT
ajst-2525	25	21	the	the	DET
ajst-2525	25	22	first	first	ADJ
ajst-2525	25	23	use	use	NOUN
ajst-2525	25	24	of	of	ADP
ajst-2525	25	25	1	1	NUM
ajst-2525	25	26	*	*	SYM
ajst-2525	25	27	1	1	NUM
ajst-2525	25	28	size	size	NOUN
ajst-2525	25	29	convolution	convolution	NOUN
ajst-2525	25	30	to	to	ADP
ajst-2525	25	31	l	l	PROPN
ajst-2525	25	32	d	d	NOUN
ajst-2525	25	33	,	,	PUNCT
ajst-2525	25	34	then	then	ADV
ajst-2525	25	35	by	by	ADP
ajst-2525	25	36	the	the	DET
ajst-2525	25	37	size	size	NOUN
ajst-2525	25	38	of	of	ADP
ajst-2525	25	39	3	3	NUM
ajst-2525	25	40	*	*	SYM
ajst-2525	25	41	3	3	NUM
ajst-2525	25	42	dw	dw	NOUN
ajst-2525	25	43	convolution	convolution	NOUN
ajst-2525	25	44	(	(	PUNCT
ajst-2525	25	45	by	by	ADP
ajst-2525	25	46	channel	channel	NOUN
ajst-2525	25	47	convolution	convolution	NOUN
ajst-2525	25	48	)	)	PUNCT
ajst-2525	25	49	to	to	PART
ajst-2525	25	50	extract	extract	VERB
ajst-2525	25	51	the	the	DET
ajst-2525	25	52	corresponding	corresponding	ADJ
ajst-2525	25	53	feature	feature	NOUN
ajst-2525	25	54	,	,	PUNCT
ajst-2525	25	55	finally	finally	ADV
ajst-2525	25	56	using	use	VERB
ajst-2525	25	57	convolution	convolution	NOUN
ajst-2525	25	58	to	to	PART
ajst-2525	25	59	achieve	achieve	VERB
ajst-2525	25	60	dimension	dimension	NOUN
ajst-2525	25	61	reduction	reduction	NOUN
ajst-2525	25	62	,	,	PUNCT
ajst-2525	25	63	1	1	NUM
ajst-2525	25	64	*	*	SYM
ajst-2525	25	65	1	1	NUM
ajst-2525	25	66	size	size	NOUN
ajst-2525	25	67	relative	relative	ADJ
ajst-2525	25	68	to	to	ADP
ajst-2525	25	69	the	the	DET
ajst-2525	25	70	residual	residual	ADJ
ajst-2525	25	71	structure	structure	NOUN
ajst-2525	25	72	,	,	PUNCT
ajst-2525	25	73	it	it	PRON
ajst-2525	25	74	will	will	AUX
ajst-2525	25	75	lift	lift	VERB
ajst-2525	25	76	d	d	PROPN
ajst-2525	25	77	in	in	ADP
ajst-2525	25	78	the	the	DET
ajst-2525	25	79	order	order	NOUN
ajst-2525	25	80	of	of	ADP
ajst-2525	25	81	exchange	exchange	NOUN
ajst-2525	25	82	,	,	PUNCT
ajst-2525	25	83	and	and	CCONJ
ajst-2525	25	84	use	use	VERB
ajst-2525	25	85	the	the	DET
ajst-2525	25	86	dw	dw	NOUN
ajst-2525	25	87	convolution	convolution	NOUN
ajst-2525	25	88	instead	instead	ADV
ajst-2525	25	89	of	of	ADP
ajst-2525	25	90	3	3	NUM
ajst-2525	25	91	*	*	SYM
ajst-2525	25	92	3	3	NUM
ajst-2525	25	93	standard	standard	ADJ
ajst-2525	25	94	convolution	convolution	NOUN
ajst-2525	25	95	,	,	PUNCT
ajst-2525	25	96	the	the	DET
ajst-2525	25	97	new	new	ADJ
ajst-2525	25	98	activation	activation	NOUN
ajst-2525	25	99	function	function	NOUN
ajst-2525	25	100	relu6	relu6	PROPN
ajst-2525	25	101	is	be	AUX
ajst-2525	25	102	used	use	VERB
ajst-2525	25	103	to	to	PART
ajst-2525	25	104	replace	replace	VERB
ajst-2525	25	105	the	the	DET
ajst-2525	25	106	original	original	ADJ
ajst-2525	25	107	relu	relu	NOUN
ajst-2525	25	108	activation	activation	NOUN
ajst-2525	25	109	function	function	NOUN
ajst-2525	25	110	.	.	PUNCT
ajst-2525	26	1	the	the	DET
ajst-2525	26	2	second	second	ADJ
ajst-2525	26	3	point	point	NOUN
ajst-2525	26	4	is	be	AUX
ajst-2525	26	5	that	that	SCONJ
ajst-2525	26	6	for	for	ADP
ajst-2525	26	7	the	the	DET
ajst-2525	26	8	inverted	inverted	ADJ
ajst-2525	26	9	residual	residual	ADJ
ajst-2525	26	10	structure	structure	NOUN
ajst-2525	26	11	in	in	ADP
ajst-2525	26	12	the	the	DET
ajst-2525	26	13	first	first	ADJ
ajst-2525	26	14	point	point	NOUN
ajst-2525	26	15	,	,	PUNCT
ajst-2525	26	16	the	the	DET
ajst-2525	26	17	linear	linear	ADJ
ajst-2525	26	18	activation	activation	NOUN
ajst-2525	26	19	function	function	NOUN
ajst-2525	26	20	is	be	AUX
ajst-2525	26	21	used	use	VERB
ajst-2525	26	22	to	to	PART
ajst-2525	26	23	replace	replace	VERB
ajst-2525	26	24	the	the	DET
ajst-2525	26	25	original	original	ADJ
ajst-2525	26	26	relu	relu	NOUN
ajst-2525	26	27	activation	activation	NOUN
ajst-2525	26	28	function	function	NOUN
ajst-2525	26	29	in	in	ADP
ajst-2525	26	30	the	the	DET
ajst-2525	26	31	last	last	ADJ
ajst-2525	26	32	convolutional	convolutional	ADJ
ajst-2525	26	33	layer	layer	NOUN
ajst-2525	26	34	.	.	PUNCT
ajst-2525	27	1	the	the	DET
ajst-2525	27	2	reason	reason	NOUN
ajst-2525	27	3	for	for	ADP
ajst-2525	27	4	the	the	DET
ajst-2525	27	5	substitution	substitution	NOUN
ajst-2525	27	6	is	be	AUX
ajst-2525	27	7	that	that	SCONJ
ajst-2525	27	8	relu	relu	NOUN
ajst-2525	27	9	activation	activation	NOUN
ajst-2525	27	10	function	function	NOUN
ajst-2525	27	11	will	will	AUX
ajst-2525	27	12	cause	cause	VERB
ajst-2525	27	13	large	large	ADJ
ajst-2525	27	14	instantaneous	instantaneous	ADJ
ajst-2525	27	15	loss	loss	NOUN
ajst-2525	27	16	for	for	ADP
ajst-2525	27	17	low	low	ADJ
ajst-2525	27	18	-	-	PUNCT
ajst-2525	27	19	dimensional	dimensional	ADJ
ajst-2525	27	20	data	datum	NOUN
ajst-2525	27	21	feature	feature	NOUN
ajst-2525	27	22	information	information	NOUN
ajst-2525	27	23	,	,	PUNCT
ajst-2525	27	24	while	while	SCONJ
ajst-2525	27	25	it	it	PRON
ajst-2525	27	26	will	will	AUX
ajst-2525	27	27	cause	cause	VERB
ajst-2525	27	28	small	small	ADJ
ajst-2525	27	29	instantaneous	instantaneous	ADJ
ajst-2525	27	30	loss	loss	NOUN
ajst-2525	27	31	for	for	ADP
ajst-2525	27	32	high	high	ADJ
ajst-2525	27	33	-	-	PUNCT
ajst-2525	27	34	dimensional	dimensional	ADJ
ajst-2525	27	35	data	datum	NOUN
ajst-2525	27	36	feature	feature	NOUN
ajst-2525	27	37	information	information	NOUN
ajst-2525	27	38	.	.	PUNCT
ajst-2525	28	1	because	because	SCONJ
ajst-2525	28	2	of	of	ADP
ajst-2525	28	3	the	the	DET
ajst-2525	28	4	spindle	spindle	NOUN
ajst-2525	28	5	structure	structure	NOUN
ajst-2525	28	6	of	of	ADP
ajst-2525	28	7	the	the	DET
ajst-2525	28	8	inverted	inverted	ADJ
ajst-2525	28	9	residual	residual	ADJ
ajst-2525	28	10	itself	itself	PRON
ajst-2525	28	11	,	,	PUNCT
ajst-2525	28	12	the	the	DET
ajst-2525	28	13	final	final	ADJ
ajst-2525	28	14	output	output	NOUN
ajst-2525	28	15	information	information	NOUN
ajst-2525	28	16	is	be	AUX
ajst-2525	28	17	a	a	DET
ajst-2525	28	18	lowdimensional	lowdimensional	ADJ
ajst-2525	28	19	feature	feature	NOUN
ajst-2525	28	20	information	information	NOUN
ajst-2525	28	21	,	,	PUNCT
ajst-2525	28	22	so	so	ADV
ajst-2525	28	23	choosing	choose	VERB
ajst-2525	28	24	the	the	DET
ajst-2525	28	25	linear	linear	ADJ
ajst-2525	28	26	activation	activation	NOUN
ajst-2525	28	27	function	function	NOUN
ajst-2525	28	28	can	can	AUX
ajst-2525	28	29	reduce	reduce	VERB
ajst-2525	28	30	the	the	DET
ajst-2525	28	31	feature	feature	NOUN
ajst-2525	28	32	loss	loss	NOUN
ajst-2525	28	33	of	of	ADP
ajst-2525	28	34	the	the	DET
ajst-2525	28	35	output	output	NOUN
ajst-2525	28	36	feature	feature	NOUN
ajst-2525	28	37	information	information	NOUN
ajst-2525	28	38	as	as	ADV
ajst-2525	28	39	much	much	ADV
ajst-2525	28	40	as	as	ADP
ajst-2525	28	41	possible	possible	ADJ
ajst-2525	28	42	.	.	PUNCT
ajst-2525	29	1	table	table	NOUN
ajst-2525	29	2	1	1	NUM
ajst-2525	29	3	.	.	PUNCT
ajst-2525	30	1	network	network	NOUN
ajst-2525	30	2	structure	structure	NOUN
ajst-2525	30	3	of	of	ADP
ajst-2525	30	4	mobilenetv2	mobilenetv2	PROPN
ajst-2525	30	5	as	as	SCONJ
ajst-2525	30	6	shown	show	VERB
ajst-2525	30	7	in	in	ADP
ajst-2525	30	8	table	table	NOUN
ajst-2525	30	9	1	1	NUM
ajst-2525	30	10	,	,	PUNCT
ajst-2525	30	11	t	t	PROPN
ajst-2525	30	12	is	be	AUX
ajst-2525	30	13	the	the	DET
ajst-2525	30	14	expansion	expansion	NOUN
ajst-2525	30	15	factor	factor	NOUN
ajst-2525	30	16	and	and	CCONJ
ajst-2525	30	17	the	the	DET
ajst-2525	30	18	expansion	expansion	NOUN
ajst-2525	30	19	multiplier	multipli	ADJ
ajst-2525	30	20	of	of	ADP
ajst-2525	30	21	the	the	DET
ajst-2525	30	22	convolution	convolution	NOUN
ajst-2525	30	23	kernel	kernel	NOUN
ajst-2525	30	24	in	in	ADP
ajst-2525	30	25	the	the	DET
ajst-2525	30	26	first	first	ADJ
ajst-2525	30	27	1x1	1x1	NUM
ajst-2525	30	28	convolution	convolution	NOUN
ajst-2525	30	29	layer	layer	NOUN
ajst-2525	30	30	.	.	PUNCT
ajst-2525	31	1	c	c	NOUN
ajst-2525	31	2	is	be	AUX
ajst-2525	31	3	the	the	DET
ajst-2525	31	4	depth	depth	NOUN
ajst-2525	31	5	channel	channel	NOUN
ajst-2525	31	6	of	of	ADP
ajst-2525	31	7	the	the	DET
ajst-2525	31	8	output	output	NOUN
ajst-2525	31	9	characteristic	characteristic	ADJ
ajst-2525	31	10	matrix	matrix	NOUN
ajst-2525	31	11	,	,	PUNCT
ajst-2525	31	12	n	n	X
ajst-2525	31	13	is	be	AUX
ajst-2525	31	14	the	the	DET
ajst-2525	31	15	number	number	NOUN
ajst-2525	31	16	of	of	ADP
ajst-2525	31	17	repetitions	repetition	NOUN
ajst-2525	31	18	and	and	CCONJ
ajst-2525	31	19	s	s	NOUN
ajst-2525	31	20	is	be	AUX
ajst-2525	31	21	the	the	DET
ajst-2525	31	22	step	step	NOUN
ajst-2525	31	23	distance	distance	NOUN
ajst-2525	31	24	(	(	PUNCT
ajst-2525	31	25	for	for	ADP
ajst-2525	31	26	the	the	DET
ajst-2525	31	27	first	first	ADJ
ajst-2525	31	28	layer	layer	NOUN
ajst-2525	31	29	,	,	PUNCT
ajst-2525	31	30	others	other	NOUN
ajst-2525	31	31	are	be	AUX
ajst-2525	31	32	1	1	NUM
ajst-2525	31	33	,	,	PUNCT
ajst-2525	31	34	similar	similar	ADJ
ajst-2525	31	35	to	to	ADP
ajst-2525	31	36	resnet	resnet	NOUN
ajst-2525	31	37	,	,	PUNCT
ajst-2525	31	38	and	and	CCONJ
ajst-2525	31	39	the	the	DET
ajst-2525	31	40	size	size	NOUN
ajst-2525	31	41	changes	change	VERB
ajst-2525	31	42	by	by	ADP
ajst-2525	31	43	the	the	DET
ajst-2525	31	44	step	step	NOUN
ajst-2525	31	45	length	length	NOUN
ajst-2525	31	46	of	of	ADP
ajst-2525	31	47	the	the	DET
ajst-2525	31	48	first	first	ADJ
ajst-2525	31	49	layer	layer	NOUN
ajst-2525	31	50	)	)	PUNCT
ajst-2525	31	51	.	.	PUNCT
ajst-2525	32	1	it	it	PRON
ajst-2525	32	2	can	can	AUX
ajst-2525	32	3	be	be	AUX
ajst-2525	32	4	seen	see	VERB
ajst-2525	32	5	that	that	SCONJ
ajst-2525	32	6	the	the	DET
ajst-2525	32	7	network	network	NOUN
ajst-2525	32	8	structure	structure	NOUN
ajst-2525	32	9	is	be	AUX
ajst-2525	32	10	very	very	ADV
ajst-2525	32	11	lightweight	lightweight	ADJ
ajst-2525	32	12	.	.	PUNCT
ajst-2525	33	1	by	by	ADP
ajst-2525	33	2	replacing	replace	VERB
ajst-2525	33	3	the	the	DET
ajst-2525	33	4	original	original	ADJ
ajst-2525	33	5	vgg19	vgg19	NOUN
ajst-2525	33	6	network	network	NOUN
ajst-2525	33	7	model	model	NOUN
ajst-2525	33	8	with	with	ADP
ajst-2525	33	9	mobilenet	mobilenet	PROPN
ajst-2525	33	10	v2	v2	PROPN
ajst-2525	33	11	,	,	PUNCT
ajst-2525	33	12	the	the	DET
ajst-2525	33	13	number	number	NOUN
ajst-2525	33	14	of	of	ADP
ajst-2525	33	15	parameters	parameter	NOUN
ajst-2525	33	16	is	be	AUX
ajst-2525	33	17	reduced	reduce	VERB
ajst-2525	33	18	,	,	PUNCT
ajst-2525	33	19	which	which	PRON
ajst-2525	33	20	makes	make	VERB
ajst-2525	33	21	the	the	DET
ajst-2525	33	22	real	real	ADJ
ajst-2525	33	23	-	-	PUNCT
ajst-2525	33	24	time	time	NOUN
ajst-2525	33	25	goal	goal	NOUN
ajst-2525	33	26	of	of	ADP
ajst-2525	33	27	the	the	DET
ajst-2525	33	28	detection	detection	NOUN
ajst-2525	33	29	task	task	NOUN
ajst-2525	33	30	be	be	AUX
ajst-2525	33	31	achieved	achieve	VERB
ajst-2525	33	32	while	while	SCONJ
ajst-2525	33	33	keeping	keep	VERB
ajst-2525	33	34	the	the	DET
ajst-2525	33	35	accuracy	accuracy	NOUN
ajst-2525	33	36	of	of	ADP
ajst-2525	33	37	the	the	DET
ajst-2525	33	38	detection	detection	NOUN
ajst-2525	33	39	task	task	NOUN
ajst-2525	33	40	excellent	excellent	ADJ
ajst-2525	33	41	.	.	PUNCT
ajst-2525	34	1	4	4	X
ajst-2525	34	2	.	.	X
ajst-2525	34	3	mechanism	mechanism	NOUN
ajst-2525	34	4	of	of	ADP
ajst-2525	34	5	attention	attention	NOUN
ajst-2525	34	6	although	although	SCONJ
ajst-2525	34	7	real	real	ADJ
ajst-2525	34	8	-	-	PUNCT
ajst-2525	34	9	time	time	NOUN
ajst-2525	34	10	detection	detection	NOUN
ajst-2525	34	11	can	can	AUX
ajst-2525	34	12	be	be	AUX
ajst-2525	34	13	achieved	achieve	VERB
ajst-2525	34	14	by	by	ADP
ajst-2525	34	15	using	use	VERB
ajst-2525	34	16	the	the	DET
ajst-2525	34	17	lightweight	lightweight	ADJ
ajst-2525	34	18	mobilenetv2	mobilenetv2	PROPN
ajst-2525	34	19	network	network	NOUN
ajst-2525	34	20	,	,	PUNCT
ajst-2525	34	21	the	the	DET
ajst-2525	34	22	recognition	recognition	NOUN
ajst-2525	34	23	accuracy	accuracy	NOUN
ajst-2525	34	24	is	be	AUX
ajst-2525	34	25	taken	take	VERB
ajst-2525	34	26	as	as	ADP
ajst-2525	34	27	the	the	DET
ajst-2525	34	28	corresponding	corresponding	ADJ
ajst-2525	34	29	cost	cost	NOUN
ajst-2525	34	30	.	.	PUNCT
ajst-2525	35	1	although	although	SCONJ
ajst-2525	35	2	the	the	DET
ajst-2525	35	3	decrease	decrease	NOUN
ajst-2525	35	4	of	of	ADP
ajst-2525	35	5	the	the	DET
ajst-2525	35	6	accuracy	accuracy	NOUN
ajst-2525	35	7	is	be	AUX
ajst-2525	35	8	not	not	PART
ajst-2525	35	9	much	much	ADJ
ajst-2525	35	10	,	,	PUNCT
ajst-2525	35	11	we	we	PRON
ajst-2525	35	12	still	still	ADV
ajst-2525	35	13	need	need	VERB
ajst-2525	35	14	to	to	PART
ajst-2525	35	15	add	add	VERB
ajst-2525	35	16	some	some	DET
ajst-2525	35	17	small	small	ADJ
ajst-2525	35	18	modules	module	NOUN
ajst-2525	35	19	to	to	PART
ajst-2525	35	20	make	make	VERB
ajst-2525	35	21	up	up	ADP
ajst-2525	35	22	for	for	ADP
ajst-2525	35	23	it	it	PRON
ajst-2525	35	24	.	.	PUNCT
ajst-2525	36	1	in	in	ADP
ajst-2525	36	2	this	this	DET
ajst-2525	36	3	paper	paper	NOUN
ajst-2525	36	4	,	,	PUNCT
ajst-2525	36	5	attention	attention	NOUN
ajst-2525	36	6	mechanism[4	mechanism[4	PROPN
ajst-2525	36	7	]	]	PUNCT
ajst-2525	36	8	is	be	AUX
ajst-2525	36	9	added	add	VERB
ajst-2525	36	10	to	to	PART
ajst-2525	36	11	process	process	VERB
ajst-2525	36	12	the	the	DET
ajst-2525	36	13	recognition	recognition	NOUN
ajst-2525	36	14	features	feature	VERB
ajst-2525	36	15	.	.	PUNCT
ajst-2525	37	1	thus	thus	ADV
ajst-2525	37	2	,	,	PUNCT
ajst-2525	37	3	the	the	DET
ajst-2525	37	4	estimation	estimation	NOUN
ajst-2525	37	5	accuracy	accuracy	NOUN
ajst-2525	37	6	of	of	ADP
ajst-2525	37	7	the	the	DET
ajst-2525	37	8	model	model	NOUN
ajst-2525	37	9	can	can	AUX
ajst-2525	37	10	be	be	AUX
ajst-2525	37	11	effectively	effectively	ADV
ajst-2525	37	12	improved	improve	VERB
ajst-2525	37	13	.	.	PUNCT
ajst-2525	38	1	attention	attention	NOUN
ajst-2525	38	2	mechanism	mechanism	NOUN
ajst-2525	38	3	is	be	AUX
ajst-2525	38	4	a	a	DET
ajst-2525	38	5	commonly	commonly	ADV
ajst-2525	38	6	used	use	VERB
ajst-2525	38	7	technique	technique	NOUN
ajst-2525	38	8	in	in	ADP
ajst-2525	38	9	the	the	DET
ajst-2525	38	10	field	field	NOUN
ajst-2525	38	11	of	of	ADP
ajst-2525	38	12	deep	deep	ADJ
ajst-2525	38	13	learning	learning	NOUN
ajst-2525	38	14	.	.	PUNCT
ajst-2525	39	1	it	it	PRON
ajst-2525	39	2	can	can	AUX
ajst-2525	39	3	make	make	VERB
ajst-2525	39	4	the	the	DET
ajst-2525	39	5	corresponding	corresponding	ADJ
ajst-2525	39	6	network	network	NOUN
ajst-2525	39	7	pay	pay	VERB
ajst-2525	39	8	attention	attention	NOUN
ajst-2525	39	9	to	to	ADP
ajst-2525	39	10	the	the	DET
ajst-2525	39	11	places	place	NOUN
ajst-2525	39	12	that	that	PRON
ajst-2525	39	13	should	should	AUX
ajst-2525	39	14	be	be	AUX
ajst-2525	39	15	paid	pay	VERB
ajst-2525	39	16	more	more	ADJ
ajst-2525	39	17	attention	attention	NOUN
ajst-2525	39	18	,	,	PUNCT
ajst-2525	39	19	so	so	SCONJ
ajst-2525	39	20	as	as	SCONJ
ajst-2525	39	21	to	to	PART
ajst-2525	39	22	deepen	deepen	VERB
ajst-2525	39	23	the	the	DET
ajst-2525	39	24	main	main	ADJ
ajst-2525	39	25	features	feature	NOUN
ajst-2525	39	26	and	and	CCONJ
ajst-2525	39	27	ignore	ignore	VERB
ajst-2525	39	28	the	the	DET
ajst-2525	39	29	secondary	secondary	ADJ
ajst-2525	39	30	features	feature	NOUN
ajst-2525	39	31	,	,	PUNCT
ajst-2525	39	32	thus	thus	ADV
ajst-2525	39	33	making	make	VERB
ajst-2525	39	34	the	the	DET
ajst-2525	39	35	processing	processing	NOUN
ajst-2525	39	36	more	more	ADV
ajst-2525	39	37	efficient	efficient	ADJ
ajst-2525	39	38	and	and	CCONJ
ajst-2525	39	39	effective	effective	ADJ
ajst-2525	39	40	.	.	PUNCT
ajst-2525	40	1	this	this	DET
ajst-2525	40	2	method	method	NOUN
ajst-2525	40	3	does	do	AUX
ajst-2525	40	4	not	not	PART
ajst-2525	40	5	need	need	VERB
ajst-2525	40	6	manual	manual	ADJ
ajst-2525	40	7	adjustment	adjustment	NOUN
ajst-2525	40	8	,	,	PUNCT
ajst-2525	40	9	which	which	PRON
ajst-2525	40	10	is	be	AUX
ajst-2525	40	11	a	a	DET
ajst-2525	40	12	way	way	NOUN
ajst-2525	40	13	to	to	PART
ajst-2525	40	14	achieve	achieve	VERB
ajst-2525	40	15	network	network	NOUN
ajst-2525	40	16	adaptation	adaptation	NOUN
ajst-2525	40	17	.	.	PUNCT
ajst-2525	41	1	it	it	PRON
ajst-2525	41	2	comes	come	VERB
ajst-2525	41	3	in	in	ADP
ajst-2525	41	4	many	many	ADJ
ajst-2525	41	5	forms	form	NOUN
ajst-2525	41	6	,	,	PUNCT
ajst-2525	41	7	but	but	CCONJ
ajst-2525	41	8	the	the	DET
ajst-2525	41	9	core	core	NOUN
ajst-2525	41	10	is	be	AUX
ajst-2525	41	11	attention	attention	NOUN
ajst-2525	41	12	.	.	PUNCT
ajst-2525	42	1	the	the	DET
ajst-2525	42	2	attention	attention	NOUN
ajst-2525	42	3	mechanism	mechanism	NOUN
ajst-2525	42	4	adopted	adopt	VERB
ajst-2525	42	5	in	in	ADP
ajst-2525	42	6	this	this	DET
ajst-2525	42	7	paper	paper	NOUN
ajst-2525	42	8	is	be	AUX
ajst-2525	42	9	implemented	implement	VERB
ajst-2525	42	10	by	by	ADP
ajst-2525	42	11	senet	senet	NOUN
ajst-2525	42	12	,	,	PUNCT
ajst-2525	42	13	which	which	PRON
ajst-2525	42	14	focuses	focus	VERB
ajst-2525	42	15	on	on	ADP
ajst-2525	42	16	obtaining	obtain	VERB
ajst-2525	42	17	the	the	DET
ajst-2525	42	18	input	input	NOUN
ajst-2525	42	19	feature	feature	NOUN
ajst-2525	42	20	values	value	NOUN
ajst-2525	42	21	and	and	CCONJ
ajst-2525	42	22	the	the	DET
ajst-2525	42	23	processed	process	VERB
ajst-2525	42	24	channel	channel	NOUN
ajst-2525	42	25	weights	weight	NOUN
ajst-2525	42	26	.	.	PUNCT
ajst-2525	43	1	its	its	PRON
ajst-2525	43	2	specific	specific	ADJ
ajst-2525	43	3	implementation	implementation	NOUN
ajst-2525	43	4	is	be	AUX
ajst-2525	43	5	shown	show	VERB
ajst-2525	43	6	in	in	ADP
ajst-2525	43	7	figure	figure	NOUN
ajst-2525	43	8	2	2	NUM
ajst-2525	43	9	:	:	PUNCT
ajst-2525	43	10	figure	figure	NOUN
ajst-2525	43	11	2	2	NUM
ajst-2525	43	12	.	.	PUNCT
ajst-2525	43	13	specific	specific	ADJ
ajst-2525	43	14	implementation	implementation	NOUN
ajst-2525	43	15	of	of	ADP
ajst-2525	43	16	senet	senet	NOUN
ajst-2525	43	17	14	14	NUM
ajst-2525	43	18	(	(	PUNCT
ajst-2525	43	19	1	1	NUM
ajst-2525	43	20	)	)	PUNCT
ajst-2525	43	21	global	global	ADJ
ajst-2525	43	22	average	average	ADJ
ajst-2525	43	23	pooling	pooling	NOUN
ajst-2525	43	24	is	be	AUX
ajst-2525	43	25	performed	perform	VERB
ajst-2525	43	26	on	on	ADP
ajst-2525	43	27	the	the	DET
ajst-2525	43	28	input	input	NOUN
ajst-2525	43	29	feature	feature	NOUN
ajst-2525	43	30	layer	layer	NOUN
ajst-2525	43	31	.	.	PUNCT
ajst-2525	44	1	(	(	PUNCT
ajst-2525	44	2	2	2	X
ajst-2525	44	3	)	)	PUNCT
ajst-2525	44	4	two	two	NUM
ajst-2525	44	5	full	full	ADJ
ajst-2525	44	6	connections	connection	NOUN
ajst-2525	44	7	were	be	AUX
ajst-2525	44	8	made	make	VERB
ajst-2525	44	9	,	,	PUNCT
ajst-2525	44	10	the	the	DET
ajst-2525	44	11	number	number	NOUN
ajst-2525	44	12	of	of	ADP
ajst-2525	44	13	neurons	neuron	NOUN
ajst-2525	44	14	in	in	ADP
ajst-2525	44	15	the	the	DET
ajst-2525	44	16	first	first	ADJ
ajst-2525	44	17	time	time	NOUN
ajst-2525	44	18	was	be	AUX
ajst-2525	44	19	small	small	ADJ
ajst-2525	44	20	,	,	PUNCT
ajst-2525	44	21	and	and	CCONJ
ajst-2525	44	22	the	the	DET
ajst-2525	44	23	number	number	NOUN
ajst-2525	44	24	of	of	ADP
ajst-2525	44	25	neurons	neuron	NOUN
ajst-2525	44	26	in	in	ADP
ajst-2525	44	27	the	the	DET
ajst-2525	44	28	second	second	ADJ
ajst-2525	44	29	time	time	NOUN
ajst-2525	44	30	was	be	AUX
ajst-2525	44	31	the	the	DET
ajst-2525	44	32	same	same	ADJ
ajst-2525	44	33	as	as	ADP
ajst-2525	44	34	that	that	PRON
ajst-2525	44	35	in	in	ADP
ajst-2525	44	36	the	the	DET
ajst-2525	44	37	feature	feature	NOUN
ajst-2525	44	38	layer	layer	NOUN
ajst-2525	44	39	.	.	PUNCT
ajst-2525	45	1	(	(	PUNCT
ajst-2525	45	2	3	3	X
ajst-2525	45	3	)	)	PUNCT
ajst-2525	45	4	normalize	normalize	VERB
ajst-2525	45	5	,	,	PUNCT
ajst-2525	45	6	take	take	VERB
ajst-2525	45	7	sigmoid	sigmoid	NOUN
ajst-2525	45	8	and	and	CCONJ
ajst-2525	45	9	fix	fix	VERB
ajst-2525	45	10	its	its	PRON
ajst-2525	45	11	value	value	NOUN
ajst-2525	45	12	between	between	ADP
ajst-2525	45	13	0	0	NUM
ajst-2525	45	14	and	and	CCONJ
ajst-2525	45	15	1	1	NUM
ajst-2525	45	16	to	to	PART
ajst-2525	45	17	obtain	obtain	VERB
ajst-2525	45	18	the	the	DET
ajst-2525	45	19	weight	weight	NOUN
ajst-2525	45	20	of	of	ADP
ajst-2525	45	21	each	each	DET
ajst-2525	45	22	channel	channel	NOUN
ajst-2525	45	23	in	in	ADP
ajst-2525	45	24	the	the	DET
ajst-2525	45	25	input	input	NOUN
ajst-2525	45	26	feature	feature	NOUN
ajst-2525	45	27	layer	layer	NOUN
ajst-2525	45	28	.	.	PUNCT
ajst-2525	46	1	(	(	PUNCT
ajst-2525	46	2	4	4	X
ajst-2525	46	3	)	)	PUNCT
ajst-2525	46	4	after	after	SCONJ
ajst-2525	46	5	the	the	DET
ajst-2525	46	6	weights	weight	NOUN
ajst-2525	46	7	are	be	AUX
ajst-2525	46	8	obtained	obtain	VERB
ajst-2525	46	9	,	,	PUNCT
ajst-2525	46	10	the	the	DET
ajst-2525	46	11	output	output	NOUN
ajst-2525	46	12	of	of	ADP
ajst-2525	46	13	the	the	DET
ajst-2525	46	14	feature	feature	NOUN
ajst-2525	46	15	layer	layer	NOUN
ajst-2525	46	16	is	be	AUX
ajst-2525	46	17	obtained	obtain	VERB
ajst-2525	46	18	by	by	ADP
ajst-2525	46	19	multiplying	multiply	VERB
ajst-2525	46	20	the	the	DET
ajst-2525	46	21	weights	weight	NOUN
ajst-2525	46	22	with	with	ADP
ajst-2525	46	23	the	the	DET
ajst-2525	46	24	original	original	ADJ
ajst-2525	46	25	input	input	NOUN
ajst-2525	46	26	feature	feature	NOUN
ajst-2525	46	27	layer	layer	NOUN
ajst-2525	46	28	.	.	PUNCT
ajst-2525	47	1	in	in	ADP
ajst-2525	47	2	order	order	NOUN
ajst-2525	47	3	to	to	PART
ajst-2525	47	4	make	make	VERB
ajst-2525	47	5	the	the	DET
ajst-2525	47	6	feature	feature	NOUN
ajst-2525	47	7	more	more	ADV
ajst-2525	47	8	effective	effective	ADJ
ajst-2525	47	9	,	,	PUNCT
ajst-2525	47	10	senet	senet	ADJ
ajst-2525	47	11	attention	attention	NOUN
ajst-2525	47	12	block	block	NOUN
ajst-2525	47	13	is	be	AUX
ajst-2525	47	14	placed	place	VERB
ajst-2525	47	15	after	after	ADP
ajst-2525	47	16	each	each	DET
ajst-2525	47	17	convolution	convolution	NOUN
ajst-2525	47	18	block	block	NOUN
ajst-2525	47	19	of	of	ADP
ajst-2525	47	20	mobilenetv2	mobilenetv2	PROPN
ajst-2525	47	21	.	.	PUNCT
ajst-2525	48	1	after	after	SCONJ
ajst-2525	48	2	the	the	DET
ajst-2525	48	3	feature	feature	NOUN
ajst-2525	48	4	layer	layer	NOUN
ajst-2525	48	5	of	of	ADP
ajst-2525	48	6	the	the	DET
ajst-2525	48	7	upper	upper	ADJ
ajst-2525	48	8	convolutional	convolutional	ADJ
ajst-2525	48	9	network	network	NOUN
ajst-2525	48	10	is	be	AUX
ajst-2525	48	11	processed	process	VERB
ajst-2525	48	12	by	by	ADP
ajst-2525	48	13	the	the	DET
ajst-2525	48	14	attention	attention	NOUN
ajst-2525	48	15	block	block	NOUN
ajst-2525	48	16	,	,	PUNCT
ajst-2525	48	17	the	the	DET
ajst-2525	48	18	feature	feature	NOUN
ajst-2525	48	19	is	be	AUX
ajst-2525	48	20	fused	fuse	VERB
ajst-2525	48	21	and	and	CCONJ
ajst-2525	48	22	then	then	ADV
ajst-2525	48	23	transferred	transfer	VERB
ajst-2525	48	24	to	to	ADP
ajst-2525	48	25	the	the	DET
ajst-2525	48	26	lower	low	ADJ
ajst-2525	48	27	network	network	NOUN
ajst-2525	48	28	.	.	PUNCT
ajst-2525	49	1	this	this	PRON
ajst-2525	49	2	makes	make	VERB
ajst-2525	49	3	the	the	DET
ajst-2525	49	4	features	feature	NOUN
ajst-2525	49	5	extracted	extract	VERB
ajst-2525	49	6	by	by	ADP
ajst-2525	49	7	the	the	DET
ajst-2525	49	8	network	network	NOUN
ajst-2525	49	9	more	more	ADV
ajst-2525	49	10	representative	representative	NOUN
ajst-2525	49	11	,	,	PUNCT
ajst-2525	49	12	has	have	VERB
ajst-2525	49	13	more	more	ADJ
ajst-2525	49	14	advantages	advantage	NOUN
ajst-2525	49	15	in	in	ADP
ajst-2525	49	16	the	the	DET
ajst-2525	49	17	extraction	extraction	NOUN
ajst-2525	49	18	of	of	ADP
ajst-2525	49	19	key	key	ADJ
ajst-2525	49	20	points	point	NOUN
ajst-2525	49	21	,	,	PUNCT
ajst-2525	49	22	and	and	CCONJ
ajst-2525	49	23	improves	improve	VERB
ajst-2525	49	24	the	the	DET
ajst-2525	49	25	success	success	NOUN
ajst-2525	49	26	rate	rate	NOUN
ajst-2525	49	27	of	of	ADP
ajst-2525	49	28	project	project	NOUN
ajst-2525	49	29	fall	fall	NOUN
ajst-2525	49	30	detection	detection	NOUN
ajst-2525	49	31	.	.	PUNCT
ajst-2525	50	1	5	5	X
ajst-2525	50	2	.	.	X
ajst-2525	50	3	algorithm	algorithm	NOUN
ajst-2525	50	4	design	design	NOUN
ajst-2525	50	5	based	base	VERB
ajst-2525	50	6	on	on	ADP
ajst-2525	50	7	the	the	DET
ajst-2525	50	8	characteristics	characteristic	NOUN
ajst-2525	50	9	of	of	ADP
ajst-2525	50	10	openpose	openpose	NOUN
ajst-2525	50	11	,	,	PUNCT
ajst-2525	50	12	we	we	PRON
ajst-2525	50	13	judge	judge	VERB
ajst-2525	50	14	fall	fall	NOUN
ajst-2525	50	15	detection	detection	NOUN
ajst-2525	50	16	by	by	ADP
ajst-2525	50	17	comparing	compare	VERB
ajst-2525	50	18	before	before	ADP
ajst-2525	50	19	and	and	CCONJ
ajst-2525	50	20	after	after	ADP
ajst-2525	50	21	frames	frame	NOUN
ajst-2525	50	22	.	.	PUNCT
ajst-2525	51	1	first	first	ADV
ajst-2525	51	2	of	of	ADP
ajst-2525	51	3	all	all	PRON
ajst-2525	51	4	,	,	PUNCT
ajst-2525	51	5	we	we	PRON
ajst-2525	51	6	pass	pass	VERB
ajst-2525	51	7	the	the	DET
ajst-2525	51	8	video	video	NOUN
ajst-2525	51	9	stream	stream	NOUN
ajst-2525	51	10	to	to	ADP
ajst-2525	51	11	the	the	DET
ajst-2525	51	12	lightweight	lightweight	ADJ
ajst-2525	51	13	openpose	openpose	PROPN
ajst-2525	51	14	model	model	NOUN
ajst-2525	51	15	.	.	PUNCT
ajst-2525	52	1	through	through	ADP
ajst-2525	52	2	the	the	DET
ajst-2525	52	3	position	position	NOUN
ajst-2525	52	4	recognition	recognition	NOUN
ajst-2525	52	5	and	and	CCONJ
ajst-2525	52	6	judgment	judgment	NOUN
ajst-2525	52	7	of	of	ADP
ajst-2525	52	8	different	different	ADJ
ajst-2525	52	9	joints	joint	NOUN
ajst-2525	52	10	of	of	ADP
ajst-2525	52	11	the	the	DET
ajst-2525	52	12	human	human	ADJ
ajst-2525	52	13	body	body	NOUN
ajst-2525	52	14	,	,	PUNCT
ajst-2525	52	15	the	the	DET
ajst-2525	52	16	coordinates	coordinate	NOUN
ajst-2525	52	17	of	of	ADP
ajst-2525	52	18	different	different	ADJ
ajst-2525	52	19	joint	joint	ADJ
ajst-2525	52	20	nodes	node	NOUN
ajst-2525	52	21	are	be	AUX
ajst-2525	52	22	obtained	obtain	VERB
ajst-2525	52	23	and	and	CCONJ
ajst-2525	52	24	written	write	VERB
ajst-2525	52	25	into	into	ADP
ajst-2525	52	26	the	the	DET
ajst-2525	52	27	corresponding	corresponding	ADJ
ajst-2525	52	28	frame	frame	NOUN
ajst-2525	52	29	json	json	NOUN
ajst-2525	52	30	file	file	NOUN
ajst-2525	52	31	.	.	PUNCT
ajst-2525	53	1	after	after	ADP
ajst-2525	53	2	writing	write	VERB
ajst-2525	53	3	,	,	PUNCT
ajst-2525	53	4	we	we	PRON
ajst-2525	53	5	first	first	ADV
ajst-2525	53	6	initialize	initialize	VERB
ajst-2525	53	7	the	the	DET
ajst-2525	53	8	counter	counter	NOUN
ajst-2525	53	9	count=0	count=0	PROPN
ajst-2525	53	10	and	and	CCONJ
ajst-2525	53	11	calculate	calculate	VERB
ajst-2525	53	12	the	the	DET
ajst-2525	53	13	ordinate	ordinate	NOUN
ajst-2525	53	14	change	change	NOUN
ajst-2525	53	15	of	of	ADP
ajst-2525	53	16	head	head	NOUN
ajst-2525	53	17	and	and	CCONJ
ajst-2525	53	18	body	body	NOUN
ajst-2525	53	19	between	between	ADP
ajst-2525	53	20	every	every	DET
ajst-2525	53	21	two	two	NUM
ajst-2525	53	22	frames	frame	NOUN
ajst-2525	53	23	.	.	PUNCT
ajst-2525	54	1	if	if	SCONJ
ajst-2525	54	2	the	the	DET
ajst-2525	54	3	ordinate	ordinate	NOUN
ajst-2525	54	4	difference	difference	NOUN
ajst-2525	54	5	of	of	ADP
ajst-2525	54	6	the	the	DET
ajst-2525	54	7	previous	previous	ADJ
ajst-2525	54	8	frame	frame	NOUN
ajst-2525	54	9	minus	minus	CCONJ
ajst-2525	54	10	the	the	DET
ajst-2525	54	11	next	next	ADJ
ajst-2525	54	12	frame	frame	NOUN
ajst-2525	54	13	between	between	ADP
ajst-2525	54	14	head	head	NOUN
ajst-2525	54	15	and	and	CCONJ
ajst-2525	54	16	body	body	NOUN
ajst-2525	54	17	is	be	AUX
ajst-2525	54	18	greater	great	ADJ
ajst-2525	54	19	than	than	ADP
ajst-2525	54	20	the	the	DET
ajst-2525	54	21	threshold	threshold	NOUN
ajst-2525	54	22	,	,	PUNCT
ajst-2525	54	23	it	it	PRON
ajst-2525	54	24	means	mean	VERB
ajst-2525	54	25	that	that	SCONJ
ajst-2525	54	26	the	the	DET
ajst-2525	54	27	interval	interval	NOUN
ajst-2525	54	28	of	of	ADP
ajst-2525	54	29	these	these	DET
ajst-2525	54	30	two	two	NUM
ajst-2525	54	31	frames	frame	NOUN
ajst-2525	54	32	meets	meet	VERB
ajst-2525	54	33	the	the	DET
ajst-2525	54	34	condition	condition	NOUN
ajst-2525	54	35	of	of	ADP
ajst-2525	54	36	falling	fall	VERB
ajst-2525	54	37	,	,	PUNCT
ajst-2525	54	38	count+1	count+1	PROPN
ajst-2525	54	39	.	.	PUNCT
ajst-2525	55	1	if	if	SCONJ
ajst-2525	55	2	more	more	ADJ
ajst-2525	55	3	than	than	ADP
ajst-2525	55	4	four	four	NUM
ajst-2525	55	5	consecutive	consecutive	ADJ
ajst-2525	55	6	intervals	interval	NOUN
ajst-2525	55	7	meet	meet	VERB
ajst-2525	55	8	the	the	DET
ajst-2525	55	9	condition	condition	NOUN
ajst-2525	55	10	of	of	ADP
ajst-2525	55	11	falling	fall	VERB
ajst-2525	55	12	,	,	PUNCT
ajst-2525	55	13	that	that	ADV
ajst-2525	55	14	is	is	ADV
ajst-2525	55	15	,	,	PUNCT
ajst-2525	55	16	count>4	count>4	PRON
ajst-2525	55	17	,	,	PUNCT
ajst-2525	55	18	it	it	PRON
ajst-2525	55	19	is	be	AUX
ajst-2525	55	20	judged	judge	VERB
ajst-2525	55	21	as	as	ADP
ajst-2525	55	22	falling	fall	VERB
ajst-2525	55	23	.	.	PUNCT
ajst-2525	56	1	otherwise	otherwise	ADV
ajst-2525	56	2	,	,	PUNCT
ajst-2525	56	3	re	re	ADJ
ajst-2525	56	4	-	-	NOUN
ajst-2525	56	5	initialize	initialize	VERB
ajst-2525	56	6	count	count	NOUN
ajst-2525	56	7	to	to	ADP
ajst-2525	56	8	0	0	NUM
ajst-2525	56	9	and	and	CCONJ
ajst-2525	56	10	continue	continue	VERB
ajst-2525	56	11	the	the	DET
ajst-2525	56	12	calculation	calculation	NOUN
ajst-2525	56	13	.	.	PUNCT
ajst-2525	57	1	the	the	DET
ajst-2525	57	2	purpose	purpose	NOUN
ajst-2525	57	3	of	of	ADP
ajst-2525	57	4	making	make	VERB
ajst-2525	57	5	the	the	DET
ajst-2525	57	6	four	four	NUM
ajst-2525	57	7	intervals	interval	NOUN
ajst-2525	57	8	conform	conform	VERB
ajst-2525	57	9	to	to	ADP
ajst-2525	57	10	the	the	DET
ajst-2525	57	11	conditions	condition	NOUN
ajst-2525	57	12	is	be	AUX
ajst-2525	57	13	to	to	PART
ajst-2525	57	14	prevent	prevent	VERB
ajst-2525	57	15	misjudgment	misjudgment	NOUN
ajst-2525	57	16	of	of	ADP
ajst-2525	57	17	the	the	DET
ajst-2525	57	18	behavior	behavior	NOUN
ajst-2525	57	19	of	of	ADP
ajst-2525	57	20	non	non	ADJ
ajst-2525	57	21	-	-	ADJ
ajst-2525	57	22	fall	fall	ADJ
ajst-2525	57	23	but	but	CCONJ
ajst-2525	57	24	rapid	rapid	ADJ
ajst-2525	57	25	decline	decline	NOUN
ajst-2525	57	26	in	in	ADP
ajst-2525	57	27	ordinate	ordinate	NOUN
ajst-2525	57	28	,	,	PUNCT
ajst-2525	57	29	so	so	SCONJ
ajst-2525	57	30	as	as	SCONJ
ajst-2525	57	31	to	to	PART
ajst-2525	57	32	improve	improve	VERB
ajst-2525	57	33	the	the	DET
ajst-2525	57	34	accuracy	accuracy	NOUN
ajst-2525	57	35	of	of	ADP
ajst-2525	57	36	fall	fall	NOUN
ajst-2525	57	37	detection	detection	NOUN
ajst-2525	57	38	.	.	PUNCT
ajst-2525	58	1	the	the	DET
ajst-2525	58	2	specific	specific	ADJ
ajst-2525	58	3	process	process	NOUN
ajst-2525	58	4	is	be	AUX
ajst-2525	58	5	shown	show	VERB
ajst-2525	58	6	in	in	ADP
ajst-2525	58	7	figure	figure	NOUN
ajst-2525	58	8	3	3	NUM
ajst-2525	58	9	.	.	PUNCT
ajst-2525	58	10	figure	figure	NOUN
ajst-2525	58	11	3	3	NUM
ajst-2525	58	12	.	.	PUNCT
ajst-2525	58	13	fall	fall	NOUN
ajst-2525	58	14	detection	detection	NOUN
ajst-2525	58	15	algorithm	algorithm	NOUN
ajst-2525	58	16	design	design	NOUN
ajst-2525	58	17	6	6	NUM
ajst-2525	58	18	.	.	PUNCT
ajst-2525	58	19	experimental	experimental	ADJ
ajst-2525	58	20	application	application	NOUN
ajst-2525	58	21	and	and	CCONJ
ajst-2525	58	22	results	result	NOUN
ajst-2525	58	23	in	in	ADP
ajst-2525	58	24	this	this	DET
ajst-2525	58	25	experiment	experiment	NOUN
ajst-2525	58	26	,	,	PUNCT
ajst-2525	58	27	a	a	DET
ajst-2525	58	28	total	total	NOUN
ajst-2525	58	29	of	of	ADP
ajst-2525	58	30	84	84	NUM
ajst-2525	58	31	videos	video	NOUN
ajst-2525	58	32	were	be	AUX
ajst-2525	58	33	collected	collect	VERB
ajst-2525	58	34	on	on	ADP
ajst-2525	58	35	the	the	DET
ajst-2525	58	36	network	network	NOUN
ajst-2525	58	37	,	,	PUNCT
ajst-2525	58	38	and	and	CCONJ
ajst-2525	58	39	9	9	NUM
ajst-2525	58	40	videos	video	NOUN
ajst-2525	58	41	were	be	AUX
ajst-2525	58	42	shot	shoot	VERB
ajst-2525	58	43	by	by	ADP
ajst-2525	58	44	myself	myself	PRON
ajst-2525	58	45	for	for	ADP
ajst-2525	58	46	testing	testing	NOUN
ajst-2525	58	47	from	from	ADP
ajst-2525	58	48	different	different	ADJ
ajst-2525	58	49	angles	angle	NOUN
ajst-2525	58	50	,	,	PUNCT
ajst-2525	58	51	and	and	CCONJ
ajst-2525	58	52	a	a	DET
ajst-2525	58	53	total	total	NOUN
ajst-2525	58	54	of	of	ADP
ajst-2525	58	55	93	93	NUM
ajst-2525	58	56	videos	video	NOUN
ajst-2525	58	57	were	be	AUX
ajst-2525	58	58	verified	verify	VERB
ajst-2525	58	59	.	.	PUNCT
ajst-2525	59	1	among	among	ADP
ajst-2525	59	2	them	they	PRON
ajst-2525	59	3	,	,	PUNCT
ajst-2525	59	4	84	84	NUM
ajst-2525	59	5	videos	video	NOUN
ajst-2525	59	6	were	be	AUX
ajst-2525	59	7	recognized	recognize	VERB
ajst-2525	59	8	well	well	ADV
ajst-2525	59	9	under	under	ADP
ajst-2525	59	10	the	the	DET
ajst-2525	59	11	model	model	NOUN
ajst-2525	59	12	and	and	CCONJ
ajst-2525	59	13	algorithm	algorithm	NOUN
ajst-2525	59	14	,	,	PUNCT
ajst-2525	59	15	with	with	ADP
ajst-2525	59	16	an	an	DET
ajst-2525	59	17	accuracy	accuracy	NOUN
ajst-2525	59	18	rate	rate	NOUN
ajst-2525	59	19	of	of	ADP
ajst-2525	59	20	90.32	90.32	NUM
ajst-2525	59	21	%	%	NOUN
ajst-2525	59	22	.	.	PUNCT
ajst-2525	60	1	the	the	DET
ajst-2525	60	2	model	model	NOUN
ajst-2525	60	3	and	and	CCONJ
ajst-2525	60	4	algorithm	algorithm	NOUN
ajst-2525	60	5	mentioned	mention	VERB
ajst-2525	60	6	in	in	ADP
ajst-2525	60	7	this	this	DET
ajst-2525	60	8	paper	paper	NOUN
ajst-2525	60	9	can	can	AUX
ajst-2525	60	10	have	have	VERB
ajst-2525	60	11	a	a	DET
ajst-2525	60	12	good	good	ADJ
ajst-2525	60	13	detection	detection	NOUN
ajst-2525	60	14	effect	effect	NOUN
ajst-2525	60	15	on	on	ADP
ajst-2525	60	16	the	the	DET
ajst-2525	60	17	state	state	NOUN
ajst-2525	60	18	of	of	ADP
ajst-2525	60	19	falling	fall	VERB
ajst-2525	60	20	in	in	ADP
ajst-2525	60	21	daily	daily	ADJ
ajst-2525	60	22	life	life	NOUN
ajst-2525	60	23	.	.	PUNCT
ajst-2525	61	1	the	the	DET
ajst-2525	61	2	actual	actual	ADJ
ajst-2525	61	3	detection	detection	NOUN
ajst-2525	61	4	effect	effect	NOUN
ajst-2525	61	5	is	be	AUX
ajst-2525	61	6	shown	show	VERB
ajst-2525	61	7	in	in	ADP
ajst-2525	61	8	figure	figure	NOUN
ajst-2525	61	9	4	4	NUM
ajst-2525	61	10	,	,	PUNCT
ajst-2525	61	11	the	the	DET
ajst-2525	61	12	left	left	ADJ
ajst-2525	61	13	figure	figure	NOUN
ajst-2525	61	14	is	be	AUX
ajst-2525	61	15	the	the	DET
ajst-2525	61	16	nonfall	nonfall	NOUN
ajst-2525	61	17	state	state	NOUN
ajst-2525	61	18	,	,	PUNCT
ajst-2525	61	19	and	and	CCONJ
ajst-2525	61	20	the	the	DET
ajst-2525	61	21	right	right	ADJ
ajst-2525	61	22	figure	figure	NOUN
ajst-2525	61	23	is	be	AUX
ajst-2525	61	24	the	the	DET
ajst-2525	61	25	detected	detect	VERB
ajst-2525	61	26	fall	fall	NOUN
ajst-2525	61	27	state	state	NOUN
ajst-2525	61	28	.	.	PUNCT
ajst-2525	62	1	figure	figure	VERB
ajst-2525	62	2	4	4	NUM
ajst-2525	62	3	.	.	PUNCT
ajst-2525	63	1	demonstration	demonstration	NOUN
ajst-2525	63	2	of	of	ADP
ajst-2525	63	3	fall	fall	NOUN
ajst-2525	63	4	detection	detection	NOUN
ajst-2525	63	5	7	7	NUM
ajst-2525	63	6	.	.	PUNCT
ajst-2525	63	7	epilogue	epilogue	NOUN
ajst-2525	63	8	in	in	ADP
ajst-2525	63	9	this	this	DET
ajst-2525	63	10	paper	paper	NOUN
ajst-2525	64	1	,	,	PUNCT
ajst-2525	64	2	the	the	DET
ajst-2525	64	3	original	original	ADJ
ajst-2525	64	4	openpose	openpose	NOUN
ajst-2525	64	5	model	model	NOUN
ajst-2525	64	6	is	be	AUX
ajst-2525	64	7	improved	improve	VERB
ajst-2525	64	8	by	by	ADP
ajst-2525	64	9	mobilenetv2	mobilenetv2	PROPN
ajst-2525	64	10	lightweight	lightweight	ADJ
ajst-2525	64	11	network	network	NOUN
ajst-2525	64	12	,	,	PUNCT
ajst-2525	64	13	so	so	SCONJ
ajst-2525	64	14	that	that	SCONJ
ajst-2525	64	15	the	the	DET
ajst-2525	64	16	model	model	NOUN
ajst-2525	64	17	has	have	VERB
ajst-2525	64	18	realtime	realtime	ADJ
ajst-2525	64	19	fall	fall	NOUN
ajst-2525	64	20	detection	detection	NOUN
ajst-2525	64	21	,	,	PUNCT
ajst-2525	64	22	and	and	CCONJ
ajst-2525	64	23	on	on	ADP
ajst-2525	64	24	this	this	DET
ajst-2525	64	25	basis	basis	NOUN
ajst-2525	64	26	,	,	PUNCT
ajst-2525	64	27	attention	attention	NOUN
ajst-2525	64	28	mechanism	mechanism	NOUN
ajst-2525	64	29	is	be	AUX
ajst-2525	64	30	integrated	integrate	VERB
ajst-2525	64	31	to	to	PART
ajst-2525	64	32	re	re	VERB
ajst-2525	64	33	-	-	NOUN
ajst-2525	64	34	fuse	fuse	ADJ
ajst-2525	64	35	features	feature	NOUN
ajst-2525	64	36	and	and	CCONJ
ajst-2525	64	37	improve	improve	VERB
ajst-2525	64	38	the	the	DET
ajst-2525	64	39	accuracy	accuracy	NOUN
ajst-2525	64	40	of	of	ADP
ajst-2525	64	41	actual	actual	ADJ
ajst-2525	64	42	detection	detection	NOUN
ajst-2525	64	43	.	.	PUNCT
ajst-2525	65	1	in	in	ADP
ajst-2525	65	2	the	the	DET
ajst-2525	65	3	future	future	NOUN
ajst-2525	65	4	,	,	PUNCT
ajst-2525	65	5	the	the	DET
ajst-2525	65	6	model	model	NOUN
ajst-2525	65	7	algorithm	algorithm	NOUN
ajst-2525	65	8	will	will	AUX
ajst-2525	65	9	be	be	AUX
ajst-2525	65	10	considered	consider	VERB
ajst-2525	65	11	to	to	PART
ajst-2525	65	12	adapt	adapt	VERB
ajst-2525	65	13	to	to	ADP
ajst-2525	65	14	the	the	DET
ajst-2525	65	15	home	home	NOUN
ajst-2525	65	16	camera	camera	NOUN
ajst-2525	65	17	,	,	PUNCT
ajst-2525	65	18	so	so	SCONJ
ajst-2525	65	19	as	as	SCONJ
ajst-2525	65	20	to	to	PART
ajst-2525	65	21	realize	realize	VERB
ajst-2525	65	22	the	the	DET
ajst-2525	65	23	fall	fall	NOUN
ajst-2525	65	24	detection	detection	NOUN
ajst-2525	65	25	and	and	CCONJ
ajst-2525	65	26	recognition	recognition	NOUN
ajst-2525	65	27	in	in	ADP
ajst-2525	65	28	practical	practical	ADJ
ajst-2525	65	29	applications	application	NOUN
ajst-2525	65	30	.	.	PUNCT
ajst-2525	66	1	acknowledgment	acknowledgment	NOUN
ajst-2525	66	2	college	college	PROPN
ajst-2525	66	3	students	student	NOUN
ajst-2525	66	4	'	'	PART
ajst-2525	66	5	innovation	innovation	NOUN
ajst-2525	66	6	and	and	CCONJ
ajst-2525	66	7	entrepreneurship	entrepreneurship	NOUN
ajst-2525	66	8	training	training	NOUN
ajst-2525	66	9	plan	plan	NOUN
ajst-2525	66	10	of	of	ADP
ajst-2525	66	11	university	university	NOUN
ajst-2525	66	12	of	of	ADP
ajst-2525	66	13	science	science	NOUN
ajst-2525	66	14	and	and	CCONJ
ajst-2525	66	15	technology	technology	NOUN
ajst-2525	66	16	liaoning	liaoning	NOUN
ajst-2525	66	17	in	in	ADP
ajst-2525	66	18	2022	2022	NUM
ajst-2525	67	1	.	.	PUNCT
ajst-2525	68	1	references	reference	NOUN
ajst-2525	68	2	[	[	X
ajst-2525	68	3	1	1	X
ajst-2525	68	4	]	]	X
ajst-2525	68	5	liu	liu	PROPN
ajst-2525	68	6	xiaohong	xiaohong	PROPN
ajst-2525	68	7	,	,	PUNCT
ajst-2525	68	8	wu	wu	PROPN
ajst-2525	68	9	miao	miao	PROPN
ajst-2525	68	10	,	,	PUNCT
ajst-2525	68	11	niu	niu	PROPN
ajst-2525	68	12	qian	qian	PROPN
ajst-2525	68	13	:	:	PUNCT
ajst-2525	68	14	risk	risk	NOUN
ajst-2525	68	15	factors	factor	NOUN
ajst-2525	68	16	of	of	ADP
ajst-2525	68	17	falls	fall	NOUN
ajst-2525	68	18	in	in	ADP
ajst-2525	68	19	the	the	DET
ajst-2525	68	20	elderly	elderly	ADJ
ajst-2525	68	21	,	,	PUNCT
ajst-2525	68	22	beijing	beijing	PROPN
ajst-2525	68	23	med	med	PROPN
ajst-2525	68	24	,	,	PUNCT
ajst-2525	68	25	vol	vol	NOUN
ajst-2525	68	26	.	.	PROPN
ajst-2525	68	27	43	43	NUM
ajst-2525	68	28	(	(	PUNCT
ajst-2525	68	29	2021	2021	NUM
ajst-2525	68	30	)	)	PUNCT
ajst-2525	68	31	no.6,p.533	no.6,p.533	NOUN
ajst-2525	68	32	-	-	PUNCT
ajst-2525	68	33	534	534	NUM
ajst-2525	68	34	+	+	NUM
ajst-2525	68	35	538	538	NUM
ajst-2525	68	36	.	.	PUNCT
ajst-2525	69	1	[	[	X
ajst-2525	69	2	2	2	NUM
ajst-2525	69	3	]	]	X
ajst-2525	69	4	zhang	zhang	PROPN
ajst-2525	69	5	zezheng	zezheng	PROPN
ajst-2525	69	6	,	,	PUNCT
ajst-2525	69	7	wang	wang	PROPN
ajst-2525	69	8	jun	jun	PROPN
ajst-2525	69	9	,	,	PUNCT
ajst-2525	69	10	dong	dong	PROPN
ajst-2525	69	11	mingli	mingli	PROPN
ajst-2525	69	12	,	,	PUNCT
ajst-2525	69	13	wang	wang	PROPN
ajst-2525	69	14	lei	lei	PROPN
ajst-2525	69	15	,	,	PUNCT
ajst-2525	69	16	yan	yan	PROPN
ajst-2525	69	17	bixi	bixi	PROPN
ajst-2525	69	18	:	:	PUNCT
ajst-2525	69	19	rapid	rapid	ADJ
ajst-2525	69	20	key	key	ADJ
ajst-2525	69	21	point	point	NOUN
ajst-2525	69	22	detection	detection	NOUN
ajst-2525	69	23	method	method	NOUN
ajst-2525	69	24	for	for	ADP
ajst-2525	69	25	humanoid	humanoid	NOUN
ajst-2525	69	26	robot	robot	NOUN
ajst-2525	69	27	based	base	VERB
ajst-2525	69	28	on	on	ADP
ajst-2525	69	29	improved	improved	ADJ
ajst-2525	69	30	openpose	openpose	NUM
ajst-2525	69	31	,	,	PUNCT
ajst-2525	69	32	laser	laser	NOUN
ajst-2525	69	33	journal	journal	NOUN
ajst-2525	69	34	,	,	PUNCT
ajst-2525	69	35	[	[	X
ajst-2525	69	36	2022	2022	NUM
ajst-2525	69	37	-	-	SYM
ajst-2525	69	38	10	10	NUM
ajst-2525	69	39	-	-	SYM
ajst-2525	69	40	18	18	NUM
ajst-2525	69	41	]	]	PUNCT
ajst-2525	69	42	,	,	PUNCT
ajst-2525	69	43	p.1	p.1	NOUN
ajst-2525	69	44	-	-	SYM
ajst-2525	69	45	7	7	NUM
ajst-2525	69	46	.	.	PUNCT
ajst-2525	70	1	[	[	X
ajst-2525	70	2	3	3	X
ajst-2525	70	3	]	]	X
ajst-2525	70	4	yang	yang	PROPN
ajst-2525	70	5	ye	ye	PROPN
ajst-2525	70	6	,	,	PUNCT
ajst-2525	70	7	jie	jie	PROPN
ajst-2525	70	8	qiang	qiang	PROPN
ajst-2525	70	9	zhang	zhang	PROPN
ajst-2525	70	10	:	:	PUNCT
ajst-2525	70	11	research	research	NOUN
ajst-2525	70	12	on	on	ADP
ajst-2525	70	13	maize	maize	NOUN
ajst-2525	70	14	disease	disease	NOUN
ajst-2525	70	15	recognition	recognition	NOUN
ajst-2525	70	16	based	base	VERB
ajst-2525	70	17	on	on	ADP
ajst-2525	70	18	lightweight	lightweight	ADJ
ajst-2525	70	19	network	network	NOUN
ajst-2525	70	20	mobilenetv2	mobilenetv2	PROPN
ajst-2525	70	21	,	,	PUNCT
ajst-2525	70	22	modern	modern	ADJ
ajst-2525	70	23	computer	computer	NOUN
ajst-2525	70	24	,	,	PUNCT
ajst-2525	70	25	vol	vol	NOUN
ajst-2525	70	26	.	.	PROPN
ajst-2525	70	27	28	28	NUM
ajst-2525	70	28	(	(	PUNCT
ajst-2525	70	29	2022	2022	NUM
ajst-2525	70	30	)	)	PUNCT
ajst-2525	70	31	no.11,p.46	no.11,p.46	NOUN
ajst-2525	70	32	-	-	PUNCT
ajst-2525	70	33	50	50	NUM
ajst-2525	70	34	.	.	PUNCT
ajst-2525	71	1	[	[	X
ajst-2525	71	2	4	4	X
ajst-2525	71	3	]	]	X
ajst-2525	71	4	ji	ji	PROPN
ajst-2525	71	5	guangkai	guangkai	PROPN
ajst-2525	71	6	,	,	PUNCT
ajst-2525	71	7	wang	wang	PROPN
ajst-2525	71	8	rong	rong	PROPN
ajst-2525	71	9	,	,	PUNCT
ajst-2525	71	10	peng	peng	PROPN
ajst-2525	71	11	shufan	shufan	PROPN
ajst-2525	71	12	:	:	PUNCT
ajst-2525	71	13	pedestrian	pedestrian	NOUN
ajst-2525	71	14	rerecognition	rerecognition	NOUN
ajst-2525	71	15	method	method	NOUN
ajst-2525	71	16	based	base	VERB
ajst-2525	71	17	on	on	ADP
ajst-2525	71	18	attention	attention	NOUN
ajst-2525	71	19	mechanism	mechanism	NOUN
ajst-2525	71	20	and	and	CCONJ
ajst-2525	71	21	conditional	conditional	ADJ
ajst-2525	71	22	convolution	convolution	NOUN
ajst-2525	71	23	,	,	PUNCT
ajst-2525	71	24	journal	journal	NOUN
ajst-2525	71	25	of	of	ADP
ajst-2525	71	26	beijing	beijing	PROPN
ajst-2525	71	27	university	university	PROPN
ajst-2525	71	28	of	of	ADP
ajst-2525	71	29	aeronautics	aeronautics	PROPN
ajst-2525	71	30	and	and	CCONJ
ajst-2525	71	31	astronautics	astronautic	NOUN
ajst-2525	71	32	,	,	PUNCT
ajst-2525	71	33	[	[	X
ajst-2525	71	34	2022	2022	NUM
ajst-2525	71	35	-	-	SYM
ajst-2525	71	36	10	10	NUM
ajst-2525	71	37	-	-	PUNCT
ajst-2525	71	38	18],p.1	18],p.1	NOUN
ajst-2525	71	39	-	-	PUNCT
ajst-2525	71	40	10	10	NUM
ajst-2525	71	41	.	.	PUNCT