id	sid	tid	token	lemma	pos
fcis-7690	1	1	frontiers	frontier	NOUN
fcis-7690	1	2	in	in	ADP
fcis-7690	1	3	computing	computing	NOUN
fcis-7690	1	4	and	and	CCONJ
fcis-7690	1	5	intelligent	intelligent	ADJ
fcis-7690	1	6	systems	system	NOUN
fcis-7690	1	7	issn	issn	VERB
fcis-7690	1	8	:	:	PUNCT
fcis-7690	1	9	2832	2832	NUM
fcis-7690	1	10	-	-	SYM
fcis-7690	1	11	6024	6024	NUM
fcis-7690	1	12	|	|	NOUN
fcis-7690	1	13	vol	vol	NOUN
fcis-7690	1	14	.	.	PROPN
fcis-7690	2	1	3	3	NUM
fcis-7690	2	2	,	,	PUNCT
fcis-7690	2	3	no	no	INTJ
fcis-7690	2	4	.	.	NOUN
fcis-7690	2	5	2	2	NUM
fcis-7690	2	6	,	,	PUNCT
fcis-7690	2	7	2023	2023	NUM
fcis-7690	2	8	136	136	NUM
fcis-7690	2	9	research	research	NOUN
fcis-7690	2	10	on	on	ADP
fcis-7690	2	11	detection	detection	NOUN
fcis-7690	2	12	algorithm	algorithm	NOUN
fcis-7690	2	13	of	of	ADP
fcis-7690	2	14	safety	safety	NOUN
fcis-7690	2	15	helmet	helmet	NOUN
fcis-7690	2	16	based	base	VERB
fcis-7690	2	17	on	on	ADP
fcis-7690	2	18	improved	improved	ADJ
fcis-7690	2	19	yolox	yolox	NOUN
fcis-7690	2	20	weichen	weichen	PROPN
fcis-7690	2	21	liao	liao	PROPN
fcis-7690	2	22	southwest	southwest	PROPN
fcis-7690	2	23	university	university	PROPN
fcis-7690	2	24	for	for	ADP
fcis-7690	2	25	nationalities	nationality	NOUN
fcis-7690	2	26	,	,	PUNCT
fcis-7690	2	27	chengdu	chengdu	PROPN
fcis-7690	2	28	610225	610225	NUM
fcis-7690	2	29	,	,	PUNCT
fcis-7690	2	30	sichuan	sichuan	PROPN
fcis-7690	2	31	,	,	PUNCT
fcis-7690	2	32	china	china	PROPN
fcis-7690	2	33	abstract	abstract	PROPN
fcis-7690	2	34	:	:	PUNCT
fcis-7690	2	35	in	in	ADP
fcis-7690	2	36	the	the	DET
fcis-7690	2	37	industrial	industrial	ADJ
fcis-7690	2	38	production	production	NOUN
fcis-7690	2	39	,	,	PUNCT
fcis-7690	2	40	construction	construction	NOUN
fcis-7690	2	41	and	and	CCONJ
fcis-7690	2	42	other	other	ADJ
fcis-7690	2	43	fields	field	NOUN
fcis-7690	2	44	,	,	PUNCT
fcis-7690	2	45	safety	safety	NOUN
fcis-7690	2	46	helmet	helmet	NOUN
fcis-7690	2	47	as	as	ADP
fcis-7690	2	48	an	an	DET
fcis-7690	2	49	important	important	ADJ
fcis-7690	2	50	safety	safety	NOUN
fcis-7690	2	51	protective	protective	ADJ
fcis-7690	2	52	equipment	equipment	NOUN
fcis-7690	2	53	,	,	PUNCT
fcis-7690	2	54	the	the	DET
fcis-7690	2	55	wearing	wear	VERB
fcis-7690	2	56	situation	situation	NOUN
fcis-7690	2	57	of	of	ADP
fcis-7690	2	58	workers	worker	NOUN
fcis-7690	2	59	personal	personal	ADJ
fcis-7690	2	60	safety	safety	NOUN
fcis-7690	2	61	and	and	CCONJ
fcis-7690	2	62	property	property	NOUN
fcis-7690	2	63	safety	safety	NOUN
fcis-7690	2	64	is	be	AUX
fcis-7690	2	65	of	of	ADP
fcis-7690	2	66	great	great	ADJ
fcis-7690	2	67	significance	significance	NOUN
fcis-7690	2	68	.	.	PUNCT
fcis-7690	3	1	therefore	therefore	ADV
fcis-7690	3	2	,	,	PUNCT
fcis-7690	3	3	this	this	DET
fcis-7690	3	4	paper	paper	NOUN
fcis-7690	3	5	proposes	propose	VERB
fcis-7690	3	6	a	a	DET
fcis-7690	3	7	safety	safety	NOUN
fcis-7690	3	8	helmet	helmet	NOUN
fcis-7690	3	9	detection	detection	NOUN
fcis-7690	3	10	method	method	NOUN
fcis-7690	3	11	based	base	VERB
fcis-7690	3	12	on	on	ADP
fcis-7690	3	13	the	the	DET
fcis-7690	3	14	improved	improved	ADJ
fcis-7690	3	15	yolox	yolox	NOUN
fcis-7690	3	16	algorithm	algorithm	NOUN
fcis-7690	3	17	.	.	PUNCT
fcis-7690	4	1	first	first	ADV
fcis-7690	4	2	,	,	PUNCT
fcis-7690	4	3	the	the	DET
fcis-7690	4	4	5000	5000	NUM
fcis-7690	4	5	pictures	picture	NOUN
fcis-7690	4	6	of	of	ADP
fcis-7690	4	7	safety	safety	NOUN
fcis-7690	4	8	helmet	helmet	NOUN
fcis-7690	4	9	wearing	wear	VERB
fcis-7690	4	10	at	at	ADP
fcis-7690	4	11	construction	construction	NOUN
fcis-7690	4	12	sites	site	NOUN
fcis-7690	4	13	are	be	AUX
fcis-7690	4	14	labelled	label	VERB
fcis-7690	4	15	.	.	PUNCT
fcis-7690	5	1	the	the	DET
fcis-7690	5	2	squeeze	squeeze	NOUN
fcis-7690	5	3	and	and	CCONJ
fcis-7690	5	4	-	-	PUNCT
fcis-7690	5	5	excitation	excitation	NOUN
fcis-7690	5	6	module	module	NOUN
fcis-7690	5	7	is	be	AUX
fcis-7690	5	8	introduced	introduce	VERB
fcis-7690	5	9	in	in	ADP
fcis-7690	5	10	the	the	DET
fcis-7690	5	11	yolox	yolox	NOUN
fcis-7690	5	12	network	network	NOUN
fcis-7690	5	13	structure	structure	NOUN
fcis-7690	5	14	.	.	PUNCT
fcis-7690	6	1	the	the	DET
fcis-7690	6	2	original	original	ADJ
fcis-7690	6	3	loss	loss	NOUN
fcis-7690	6	4	function	function	NOUN
fcis-7690	6	5	is	be	AUX
fcis-7690	6	6	replaced	replace	VERB
fcis-7690	6	7	with	with	ADP
fcis-7690	6	8	varifocal	varifocal	ADJ
fcis-7690	6	9	loss	loss	NOUN
fcis-7690	6	10	.	.	PUNCT
fcis-7690	7	1	after	after	ADP
fcis-7690	7	2	experimental	experimental	ADJ
fcis-7690	7	3	verification	verification	NOUN
fcis-7690	7	4	,	,	PUNCT
fcis-7690	7	5	compared	compare	VERB
fcis-7690	7	6	with	with	ADP
fcis-7690	7	7	the	the	DET
fcis-7690	7	8	original	original	ADJ
fcis-7690	7	9	yolox	yolox	NOUN
fcis-7690	7	10	target	target	NOUN
fcis-7690	7	11	detection	detection	NOUN
fcis-7690	7	12	algorithm	algorithm	NOUN
fcis-7690	7	13	,	,	PUNCT
fcis-7690	7	14	our	our	PRON
fcis-7690	7	15	algorithm	algorithm	NOUN
fcis-7690	7	16	improves	improve	VERB
fcis-7690	7	17	by	by	ADP
fcis-7690	7	18	2.13	2.13	NUM
fcis-7690	7	19	percentage	percentage	NOUN
fcis-7690	7	20	points	point	NOUN
fcis-7690	7	21	,	,	PUNCT
fcis-7690	7	22	enhances	enhance	VERB
fcis-7690	7	23	the	the	DET
fcis-7690	7	24	model	model	NOUN
fcis-7690	7	25	's	's	PART
fcis-7690	7	26	focus	focus	NOUN
fcis-7690	7	27	on	on	ADP
fcis-7690	7	28	key	key	ADJ
fcis-7690	7	29	areas	area	NOUN
fcis-7690	7	30	and	and	CCONJ
fcis-7690	7	31	optimizes	optimize	VERB
fcis-7690	7	32	the	the	DET
fcis-7690	7	33	model	model	NOUN
fcis-7690	7	34	training	training	NOUN
fcis-7690	7	35	effect	effect	NOUN
fcis-7690	7	36	,	,	PUNCT
fcis-7690	7	37	while	while	SCONJ
fcis-7690	7	38	the	the	DET
fcis-7690	7	39	number	number	NOUN
fcis-7690	7	40	of	of	ADP
fcis-7690	7	41	model	model	NOUN
fcis-7690	7	42	parameters	parameter	NOUN
fcis-7690	7	43	does	do	AUX
fcis-7690	7	44	not	not	PART
fcis-7690	7	45	increase	increase	VERB
fcis-7690	7	46	significantly	significantly	ADV
fcis-7690	7	47	.	.	PUNCT
fcis-7690	8	1	in	in	ADP
fcis-7690	8	2	conclusion	conclusion	NOUN
fcis-7690	8	3	,	,	PUNCT
fcis-7690	8	4	our	our	PRON
fcis-7690	8	5	algorithm	algorithm	NOUN
fcis-7690	8	6	has	have	VERB
fcis-7690	8	7	a	a	DET
fcis-7690	8	8	wide	wide	ADJ
fcis-7690	8	9	range	range	NOUN
fcis-7690	8	10	of	of	ADP
fcis-7690	8	11	application	application	NOUN
fcis-7690	8	12	prospects	prospect	NOUN
fcis-7690	8	13	and	and	CCONJ
fcis-7690	8	14	research	research	NOUN
fcis-7690	8	15	value	value	NOUN
fcis-7690	8	16	.	.	PUNCT
fcis-7690	9	1	keywords	keyword	NOUN
fcis-7690	9	2	:	:	PUNCT
fcis-7690	9	3	yolox	yolox	NOUN
fcis-7690	9	4	;	;	PUNCT
fcis-7690	9	5	helmet	helmet	NOUN
fcis-7690	9	6	detection	detection	NOUN
fcis-7690	9	7	;	;	PUNCT
fcis-7690	9	8	building	build	VERB
fcis-7690	9	9	construction	construction	NOUN
fcis-7690	9	10	;	;	PUNCT
fcis-7690	9	11	target	target	NOUN
fcis-7690	9	12	detection	detection	NOUN
fcis-7690	9	13	.	.	PUNCT
fcis-7690	10	1	1	1	X
fcis-7690	10	2	.	.	X
fcis-7690	10	3	introduction	introduction	NOUN
fcis-7690	10	4	head	head	NOUN
fcis-7690	10	5	injuries	injury	NOUN
fcis-7690	10	6	are	be	AUX
fcis-7690	10	7	one	one	NUM
fcis-7690	10	8	of	of	ADP
fcis-7690	10	9	the	the	DET
fcis-7690	10	10	most	most	ADV
fcis-7690	10	11	common	common	ADJ
fcis-7690	10	12	types	type	NOUN
fcis-7690	10	13	of	of	ADP
fcis-7690	10	14	injuries	injury	NOUN
fcis-7690	10	15	in	in	ADP
fcis-7690	10	16	industrial	industrial	ADJ
fcis-7690	10	17	accidents	accident	NOUN
fcis-7690	10	18	,	,	PUNCT
fcis-7690	10	19	according	accord	VERB
fcis-7690	10	20	to	to	ADP
fcis-7690	10	21	data	datum	NOUN
fcis-7690	10	22	provided	provide	VERB
fcis-7690	10	23	by	by	ADP
fcis-7690	10	24	the	the	DET
fcis-7690	10	25	occupational	occupational	ADJ
fcis-7690	10	26	safety	safety	NOUN
fcis-7690	10	27	and	and	CCONJ
fcis-7690	10	28	health	health	PROPN
fcis-7690	10	29	administration	administration	NOUN
fcis-7690	10	30	(	(	PUNCT
fcis-7690	10	31	osha	osha	PROPN
fcis-7690	10	32	)	)	PUNCT
fcis-7690	10	33	.	.	PUNCT
fcis-7690	11	1	head	head	NOUN
fcis-7690	11	2	injuries	injury	NOUN
fcis-7690	11	3	account	account	VERB
fcis-7690	11	4	for	for	ADP
fcis-7690	11	5	more	more	ADJ
fcis-7690	11	6	than	than	ADP
fcis-7690	11	7	25	25	NUM
fcis-7690	11	8	percent	percent	NOUN
fcis-7690	11	9	of	of	ADP
fcis-7690	11	10	the	the	DET
fcis-7690	11	11	total	total	ADJ
fcis-7690	11	12	number	number	NOUN
fcis-7690	11	13	of	of	ADP
fcis-7690	11	14	injury	injury	NOUN
fcis-7690	11	15	and	and	CCONJ
fcis-7690	11	16	death	death	NOUN
fcis-7690	11	17	incidents	incident	NOUN
fcis-7690	11	18	in	in	ADP
fcis-7690	11	19	all	all	DET
fcis-7690	11	20	industrial	industrial	ADJ
fcis-7690	11	21	accidents	accident	NOUN
fcis-7690	11	22	,	,	PUNCT
fcis-7690	11	23	and	and	CCONJ
fcis-7690	11	24	about	about	ADV
fcis-7690	11	25	75	75	NUM
fcis-7690	11	26	percent	percent	NOUN
fcis-7690	11	27	of	of	ADP
fcis-7690	11	28	head	head	NOUN
fcis-7690	11	29	injury	injury	NOUN
fcis-7690	11	30	incidents	incident	NOUN
fcis-7690	11	31	occur	occur	VERB
fcis-7690	11	32	without	without	ADP
fcis-7690	11	33	wearing	wear	VERB
fcis-7690	11	34	a	a	DET
fcis-7690	11	35	safety	safety	NOUN
fcis-7690	11	36	helmet	helmet	NOUN
fcis-7690	11	37	.	.	PUNCT
fcis-7690	12	1	therefore	therefore	ADV
fcis-7690	12	2	,	,	PUNCT
fcis-7690	12	3	accurately	accurately	ADV
fcis-7690	12	4	detecting	detect	VERB
fcis-7690	12	5	whether	whether	SCONJ
fcis-7690	12	6	a	a	DET
fcis-7690	12	7	safety	safety	NOUN
fcis-7690	12	8	helmet	helmet	NOUN
fcis-7690	12	9	is	be	AUX
fcis-7690	12	10	worn	wear	VERB
fcis-7690	12	11	is	be	AUX
fcis-7690	12	12	a	a	DET
fcis-7690	12	13	task	task	NOUN
fcis-7690	12	14	with	with	ADP
fcis-7690	12	15	practical	practical	ADJ
fcis-7690	12	16	application	application	NOUN
fcis-7690	12	17	value	value	NOUN
fcis-7690	12	18	and	and	CCONJ
fcis-7690	12	19	prospect	prospect	NOUN
fcis-7690	12	20	.	.	PUNCT
fcis-7690	13	1	in	in	ADP
fcis-7690	13	2	helmet	helmet	NOUN
fcis-7690	13	3	detection	detection	NOUN
fcis-7690	13	4	,	,	PUNCT
fcis-7690	13	5	a	a	DET
fcis-7690	13	6	target	target	NOUN
fcis-7690	13	7	detection	detection	NOUN
fcis-7690	13	8	algorithm	algorithm	NOUN
fcis-7690	13	9	is	be	AUX
fcis-7690	13	10	used	use	VERB
fcis-7690	13	11	[	[	PUNCT
fcis-7690	13	12	1	1	X
fcis-7690	13	13	]	]	X
fcis-7690	14	1	[	[	X
fcis-7690	14	2	2	2	X
fcis-7690	14	3	]	]	X
fcis-7690	14	4	[	[	X
fcis-7690	14	5	3	3	X
fcis-7690	14	6	]	]	X
fcis-7690	14	7	[	[	X
fcis-7690	14	8	4	4	NUM
fcis-7690	14	9	]	]	PUNCT
fcis-7690	14	10	.	.	PUNCT
fcis-7690	15	1	in	in	ADP
fcis-7690	15	2	recent	recent	ADJ
fcis-7690	15	3	years	year	NOUN
fcis-7690	15	4	,	,	PUNCT
fcis-7690	15	5	object	object	NOUN
fcis-7690	15	6	detection	detection	NOUN
fcis-7690	15	7	technology	technology	NOUN
fcis-7690	15	8	has	have	AUX
fcis-7690	15	9	been	be	AUX
fcis-7690	15	10	widely	widely	ADV
fcis-7690	15	11	concerned	concern	VERB
fcis-7690	15	12	and	and	CCONJ
fcis-7690	15	13	discussed	discuss	VERB
fcis-7690	15	14	in	in	ADP
fcis-7690	15	15	the	the	DET
fcis-7690	15	16	field	field	NOUN
fcis-7690	15	17	of	of	ADP
fcis-7690	15	18	computer	computer	NOUN
fcis-7690	15	19	vision	vision	NOUN
fcis-7690	15	20	.	.	PUNCT
fcis-7690	16	1	neural	neural	ADJ
fcis-7690	16	2	network	network	NOUN
fcis-7690	16	3	models	model	NOUN
fcis-7690	16	4	based	base	VERB
fcis-7690	16	5	on	on	ADP
fcis-7690	16	6	deep	deep	ADJ
fcis-7690	16	7	learning	learning	NOUN
fcis-7690	16	8	,	,	PUNCT
fcis-7690	16	9	especially	especially	ADV
fcis-7690	16	10	object	object	VERB
fcis-7690	16	11	detection	detection	NOUN
fcis-7690	16	12	algorithms	algorithm	NOUN
fcis-7690	16	13	based	base	VERB
fcis-7690	16	14	on	on	ADP
fcis-7690	16	15	convolutional	convolutional	ADJ
fcis-7690	16	16	neural	neural	ADJ
fcis-7690	16	17	networks	network	NOUN
fcis-7690	16	18	(	(	PUNCT
fcis-7690	16	19	cnn	cnn	PROPN
fcis-7690	16	20	)	)	PUNCT
fcis-7690	16	21	,	,	PUNCT
fcis-7690	16	22	have	have	AUX
fcis-7690	16	23	made	make	VERB
fcis-7690	16	24	remarkable	remarkable	ADJ
fcis-7690	16	25	progress	progress	NOUN
fcis-7690	16	26	.	.	PUNCT
fcis-7690	17	1	classical	classical	ADJ
fcis-7690	17	2	algorithms	algorithm	NOUN
fcis-7690	17	3	such	such	ADJ
fcis-7690	17	4	as	as	ADP
fcis-7690	17	5	yolo	yolo	NOUN
fcis-7690	17	6	[	[	X
fcis-7690	17	7	5	5	NUM
fcis-7690	17	8	]	]	PUNCT
fcis-7690	17	9	,	,	PUNCT
fcis-7690	17	10	ssd	ssd	NOUN
fcis-7690	17	11	[	[	X
fcis-7690	17	12	6	6	NUM
fcis-7690	17	13	]	]	PUNCT
fcis-7690	17	14	,	,	PUNCT
fcis-7690	17	15	cornernet	cornernet	PROPN
fcis-7690	18	1	[	[	X
fcis-7690	18	2	8	8	NUM
fcis-7690	18	3	]	]	PUNCT
fcis-7690	18	4	,	,	PUNCT
fcis-7690	18	5	etc	etc	X
fcis-7690	18	6	.	.	X
fcis-7690	18	7	,	,	PUNCT
fcis-7690	18	8	have	have	VERB
fcis-7690	18	9	the	the	DET
fcis-7690	18	10	advantage	advantage	NOUN
fcis-7690	18	11	of	of	ADP
fcis-7690	18	12	high	high	ADJ
fcis-7690	18	13	detection	detection	NOUN
fcis-7690	18	14	speed	speed	NOUN
fcis-7690	18	15	on	on	ADP
fcis-7690	18	16	the	the	DET
fcis-7690	18	17	premise	premise	NOUN
fcis-7690	18	18	of	of	ADP
fcis-7690	18	19	ensuring	ensure	VERB
fcis-7690	18	20	accuracy	accuracy	NOUN
fcis-7690	18	21	,	,	PUNCT
fcis-7690	18	22	and	and	CCONJ
fcis-7690	18	23	can	can	AUX
fcis-7690	18	24	meet	meet	VERB
fcis-7690	18	25	the	the	DET
fcis-7690	18	26	real	real	ADJ
fcis-7690	18	27	-	-	PUNCT
fcis-7690	18	28	time	time	NOUN
fcis-7690	18	29	requirements	requirement	NOUN
fcis-7690	18	30	of	of	ADP
fcis-7690	18	31	video	video	NOUN
fcis-7690	18	32	surveillance	surveillance	NOUN
fcis-7690	18	33	detection	detection	NOUN
fcis-7690	18	34	.	.	PUNCT
fcis-7690	19	1	however	however	ADV
fcis-7690	19	2	,	,	PUNCT
fcis-7690	19	3	the	the	DET
fcis-7690	19	4	existing	exist	VERB
fcis-7690	19	5	target	target	NOUN
fcis-7690	19	6	detection	detection	NOUN
fcis-7690	19	7	algorithms	algorithm	NOUN
fcis-7690	19	8	are	be	AUX
fcis-7690	19	9	still	still	ADV
fcis-7690	19	10	faced	face	VERB
fcis-7690	19	11	with	with	ADP
fcis-7690	19	12	a	a	DET
fcis-7690	19	13	series	series	NOUN
fcis-7690	19	14	of	of	ADP
fcis-7690	19	15	challenges	challenge	NOUN
fcis-7690	19	16	,	,	PUNCT
fcis-7690	19	17	such	such	ADJ
fcis-7690	19	18	as	as	ADP
fcis-7690	19	19	low	low	ADJ
fcis-7690	19	20	detection	detection	NOUN
fcis-7690	19	21	accuracy	accuracy	NOUN
fcis-7690	19	22	for	for	ADP
fcis-7690	19	23	small	small	ADJ
fcis-7690	19	24	target	target	NOUN
fcis-7690	19	25	objects	object	NOUN
fcis-7690	19	26	,	,	PUNCT
fcis-7690	19	27	insufficient	insufficient	ADJ
fcis-7690	19	28	detection	detection	NOUN
fcis-7690	19	29	ability	ability	NOUN
fcis-7690	19	30	in	in	ADP
fcis-7690	19	31	complex	complex	ADJ
fcis-7690	19	32	scenes	scene	NOUN
fcis-7690	19	33	and	and	CCONJ
fcis-7690	19	34	so	so	ADV
fcis-7690	19	35	on	on	ADV
fcis-7690	19	36	.	.	PUNCT
fcis-7690	20	1	therefore	therefore	ADV
fcis-7690	20	2	,	,	PUNCT
fcis-7690	20	3	how	how	SCONJ
fcis-7690	20	4	to	to	PART
fcis-7690	20	5	quickly	quickly	ADV
fcis-7690	20	6	and	and	CCONJ
fcis-7690	20	7	accurately	accurately	ADV
fcis-7690	20	8	detect	detect	VERB
fcis-7690	20	9	whether	whether	SCONJ
fcis-7690	20	10	a	a	DET
fcis-7690	20	11	person	person	NOUN
fcis-7690	20	12	is	be	AUX
fcis-7690	20	13	wearing	wear	VERB
fcis-7690	20	14	a	a	DET
fcis-7690	20	15	safety	safety	NOUN
fcis-7690	20	16	helmet	helmet	NOUN
fcis-7690	20	17	has	have	AUX
fcis-7690	20	18	become	become	VERB
fcis-7690	20	19	one	one	NUM
fcis-7690	20	20	of	of	ADP
fcis-7690	20	21	the	the	DET
fcis-7690	20	22	research	research	NOUN
fcis-7690	20	23	hotspots	hotspot	NOUN
fcis-7690	20	24	in	in	ADP
fcis-7690	20	25	recent	recent	ADJ
fcis-7690	20	26	years	year	NOUN
fcis-7690	20	27	.	.	PUNCT
fcis-7690	21	1	to	to	PART
fcis-7690	21	2	solve	solve	VERB
fcis-7690	21	3	the	the	DET
fcis-7690	21	4	above	above	ADJ
fcis-7690	21	5	problems	problem	NOUN
fcis-7690	21	6	,	,	PUNCT
fcis-7690	21	7	this	this	DET
fcis-7690	21	8	paper	paper	NOUN
fcis-7690	21	9	proposes	propose	VERB
fcis-7690	21	10	a	a	DET
fcis-7690	21	11	helmet	helmet	NOUN
fcis-7690	21	12	detection	detection	NOUN
fcis-7690	21	13	algorithm	algorithm	NOUN
fcis-7690	21	14	based	base	VERB
fcis-7690	21	15	on	on	ADP
fcis-7690	21	16	improved	improved	ADJ
fcis-7690	21	17	yolox	yolox	NOUN
fcis-7690	21	18	.	.	PUNCT
fcis-7690	22	1	specifically	specifically	ADV
fcis-7690	22	2	,	,	PUNCT
fcis-7690	22	3	the	the	DET
fcis-7690	22	4	attentionmechanism	attentionmechanism	NOUN
fcis-7690	22	5	squeest	squeest	NOUN
fcis-7690	22	6	-	-	PUNCT
fcis-7690	22	7	and	and	CCONJ
fcis-7690	22	8	-	-	PUNCT
fcis-7690	22	9	excitation	excitation	NOUN
fcis-7690	22	10	module	module	NOUN
fcis-7690	22	11	is	be	AUX
fcis-7690	22	12	introduced	introduce	VERB
fcis-7690	22	13	in	in	ADP
fcis-7690	22	14	this	this	DET
fcis-7690	22	15	paper	paper	NOUN
fcis-7690	22	16	.	.	PUNCT
fcis-7690	23	1	the	the	DET
fcis-7690	23	2	original	original	ADJ
fcis-7690	23	3	loss	loss	NOUN
fcis-7690	23	4	function	function	NOUN
fcis-7690	23	5	is	be	AUX
fcis-7690	23	6	optimized	optimize	VERB
fcis-7690	23	7	as	as	ADP
fcis-7690	23	8	varifocal	varifocal	ADJ
fcis-7690	23	9	loss	loss	NOUN
fcis-7690	23	10	to	to	PART
fcis-7690	23	11	improve	improve	VERB
fcis-7690	23	12	detection	detection	NOUN
fcis-7690	23	13	accuracy	accuracy	NOUN
fcis-7690	23	14	and	and	CCONJ
fcis-7690	23	15	robustness	robustness	NOUN
fcis-7690	23	16	.	.	PUNCT
fcis-7690	24	1	the	the	DET
fcis-7690	24	2	research	research	NOUN
fcis-7690	24	3	results	result	NOUN
fcis-7690	24	4	of	of	ADP
fcis-7690	24	5	this	this	DET
fcis-7690	24	6	paper	paper	NOUN
fcis-7690	24	7	have	have	VERB
fcis-7690	24	8	a	a	DET
fcis-7690	24	9	positive	positive	ADJ
fcis-7690	24	10	reference	reference	NOUN
fcis-7690	24	11	significance	significance	NOUN
fcis-7690	24	12	for	for	ADP
fcis-7690	24	13	the	the	DET
fcis-7690	24	14	improvement	improvement	NOUN
fcis-7690	24	15	of	of	ADP
fcis-7690	24	16	hard	hard	ADJ
fcis-7690	24	17	hat	hat	NOUN
fcis-7690	24	18	detection	detection	NOUN
fcis-7690	24	19	algorithm	algorithm	NOUN
fcis-7690	24	20	in	in	ADP
fcis-7690	24	21	practical	practical	ADJ
fcis-7690	24	22	application	application	NOUN
fcis-7690	24	23	scenarios	scenario	NOUN
fcis-7690	24	24	.	.	PUNCT
fcis-7690	25	1	2	2	X
fcis-7690	25	2	.	.	X
fcis-7690	25	3	research	research	NOUN
fcis-7690	25	4	methods	method	NOUN
fcis-7690	25	5	2.1	2.1	NUM
fcis-7690	25	6	.	.	PUNCT
fcis-7690	26	1	yolox	yolox	NOUN
fcis-7690	26	2	network	network	NOUN
fcis-7690	26	3	architecture	architecture	NOUN
fcis-7690	26	4	yolox	yolox	NOUN
fcis-7690	26	5	algorithm	algorithm	NOUN
fcis-7690	26	6	is	be	AUX
fcis-7690	26	7	a	a	DET
fcis-7690	26	8	target	target	NOUN
fcis-7690	26	9	detection	detection	NOUN
fcis-7690	26	10	algorithm	algorithm	NOUN
fcis-7690	26	11	based	base	VERB
fcis-7690	26	12	on	on	ADP
fcis-7690	26	13	yolo	yolo	PROPN
fcis-7690	26	14	series	series	PROPN
fcis-7690	26	15	algorithms	algorithm	NOUN
fcis-7690	26	16	.	.	PUNCT
fcis-7690	27	1	its	its	PRON
fcis-7690	27	2	network	network	NOUN
fcis-7690	27	3	structure	structure	NOUN
fcis-7690	27	4	mainly	mainly	ADV
fcis-7690	27	5	includes	include	VERB
fcis-7690	27	6	four	four	NUM
fcis-7690	27	7	parts	part	NOUN
fcis-7690	27	8	:	:	PUNCT
fcis-7690	27	9	backbone	backbone	NOUN
fcis-7690	27	10	,	,	PUNCT
fcis-7690	27	11	neck	neck	NOUN
fcis-7690	27	12	,	,	PUNCT
fcis-7690	27	13	head	head	NOUN
fcis-7690	27	14	and	and	CCONJ
fcis-7690	27	15	post	post	ADJ
fcis-7690	27	16	-	-	ADJ
fcis-7690	27	17	processing	processing	NOUN
fcis-7690	27	18	.	.	PUNCT
fcis-7690	28	1	it	it	PRON
fcis-7690	28	2	is	be	AUX
fcis-7690	28	3	shown	show	VERB
fcis-7690	28	4	in	in	ADP
fcis-7690	28	5	figure	figure	NOUN
fcis-7690	28	6	1	1	NUM
fcis-7690	28	7	.	.	PUNCT
fcis-7690	28	8	figure	figure	NOUN
fcis-7690	28	9	1	1	NUM
fcis-7690	28	10	.	.	PUNCT
fcis-7690	28	11	yolox	yolox	PROPN
fcis-7690	28	12	network	network	PROPN
fcis-7690	28	13	structure	structure	NOUN
fcis-7690	28	14	the	the	DET
fcis-7690	28	15	cspdarknet53	cspdarknet53	NOUN
fcis-7690	28	16	backbone	backbone	NOUN
fcis-7690	28	17	network	network	NOUN
fcis-7690	28	18	independently	independently	ADV
fcis-7690	28	19	designed	design	VERB
fcis-7690	28	20	by	by	ADP
fcis-7690	28	21	yolox	yolox	NOUN
fcis-7690	28	22	is	be	AUX
fcis-7690	28	23	used	use	VERB
fcis-7690	28	24	for	for	ADP
fcis-7690	28	25	backbone	backbone	NOUN
fcis-7690	28	26	.	.	PUNCT
fcis-7690	29	1	this	this	DET
fcis-7690	29	2	network	network	NOUN
fcis-7690	29	3	not	not	PART
fcis-7690	29	4	only	only	ADV
fcis-7690	29	5	guarantees	guarantee	VERB
fcis-7690	29	6	high	high	ADJ
fcis-7690	29	7	precision	precision	NOUN
fcis-7690	29	8	,	,	PUNCT
fcis-7690	29	9	but	but	CCONJ
fcis-7690	29	10	also	also	ADV
fcis-7690	29	11	has	have	VERB
fcis-7690	29	12	low	low	ADJ
fcis-7690	29	13	computational	computational	ADJ
fcis-7690	29	14	complexity	complexity	NOUN
fcis-7690	29	15	,	,	PUNCT
fcis-7690	29	16	which	which	PRON
fcis-7690	29	17	effectively	effectively	ADV
fcis-7690	29	18	improves	improve	VERB
fcis-7690	29	19	the	the	DET
fcis-7690	29	20	training	training	NOUN
fcis-7690	29	21	and	and	CCONJ
fcis-7690	29	22	reasoning	reasoning	NOUN
fcis-7690	29	23	speed	speed	NOUN
fcis-7690	29	24	.	.	PUNCT
fcis-7690	30	1	the	the	DET
fcis-7690	30	2	neck	neck	NOUN
fcis-7690	30	3	part	part	NOUN
fcis-7690	30	4	uses	use	VERB
fcis-7690	30	5	pafpn	pafpn	NOUN
fcis-7690	30	6	[	[	X
fcis-7690	30	7	8	8	NUM
fcis-7690	30	8	]	]	PUNCT
fcis-7690	30	9	(	(	PUNCT
fcis-7690	30	10	path	path	NOUN
fcis-7690	30	11	aggregation	aggregation	NOUN
fcis-7690	30	12	feature	feature	NOUN
fcis-7690	30	13	pyramid	pyramid	NOUN
fcis-7690	30	14	network	network	NOUN
fcis-7690	30	15	)	)	PUNCT
fcis-7690	30	16	feature	feature	NOUN
fcis-7690	30	17	pyramid	pyramid	NOUN
fcis-7690	30	18	network	network	NOUN
fcis-7690	30	19	.	.	PUNCT
fcis-7690	31	1	through	through	ADP
fcis-7690	31	2	multi	multi	ADJ
fcis-7690	31	3	-	-	ADJ
fcis-7690	31	4	level	level	ADJ
fcis-7690	31	5	feature	feature	NOUN
fcis-7690	31	6	fusion	fusion	NOUN
fcis-7690	31	7	,	,	PUNCT
fcis-7690	31	8	target	target	NOUN
fcis-7690	31	9	features	feature	NOUN
fcis-7690	31	10	at	at	ADP
fcis-7690	31	11	different	different	ADJ
fcis-7690	31	12	scales	scale	NOUN
fcis-7690	31	13	and	and	CCONJ
fcis-7690	31	14	semantic	semantic	ADJ
fcis-7690	31	15	levels	level	NOUN
fcis-7690	31	16	can	can	AUX
fcis-7690	31	17	be	be	AUX
fcis-7690	31	18	captured	capture	VERB
fcis-7690	31	19	better	well	ADV
fcis-7690	31	20	.	.	PUNCT
fcis-7690	32	1	the	the	DET
fcis-7690	32	2	decoupling	decouple	VERB
fcis-7690	32	3	detection	detection	NOUN
fcis-7690	32	4	head	head	NOUN
fcis-7690	32	5	network	network	NOUN
fcis-7690	32	6	independently	independently	ADV
fcis-7690	32	7	designed	design	VERB
fcis-7690	32	8	by	by	ADP
fcis-7690	32	9	yolox	yolox	NOUN
fcis-7690	32	10	is	be	AUX
fcis-7690	32	11	used	use	VERB
fcis-7690	32	12	in	in	ADP
fcis-7690	32	13	the	the	DET
fcis-7690	32	14	head	head	NOUN
fcis-7690	32	15	part	part	NOUN
fcis-7690	32	16	,	,	PUNCT
fcis-7690	32	17	which	which	PRON
fcis-7690	32	18	introduces	introduce	VERB
fcis-7690	32	19	the	the	DET
fcis-7690	32	20	idea	idea	NOUN
fcis-7690	32	21	of	of	ADP
fcis-7690	32	22	anchor	anchor	NOUN
fcis-7690	32	23	-	-	PUNCT
fcis-7690	32	24	free	free	ADJ
fcis-7690	32	25	[	[	X
fcis-7690	32	26	9	9	NUM
fcis-7690	32	27	]	]	PUNCT
fcis-7690	32	28	target	target	NOUN
fcis-7690	32	29	detection	detection	NOUN
fcis-7690	32	30	and	and	CCONJ
fcis-7690	32	31	adopts	adopt	VERB
fcis-7690	32	32	the	the	DET
fcis-7690	32	33	point	point	NOUN
fcis-7690	32	34	set	set	VERB
fcis-7690	32	35	prediction	prediction	NOUN
fcis-7690	32	36	method	method	NOUN
fcis-7690	32	37	for	for	ADP
fcis-7690	32	38	target	target	NOUN
fcis-7690	32	39	detection	detection	NOUN
fcis-7690	32	40	,	,	PUNCT
fcis-7690	32	41	which	which	PRON
fcis-7690	32	42	avoids	avoid	VERB
fcis-7690	32	43	the	the	DET
fcis-7690	32	44	uncertainty	uncertainty	NOUN
fcis-7690	32	45	of	of	ADP
fcis-7690	32	46	anchor	anchor	NOUN
fcis-7690	32	47	selection	selection	NOUN
fcis-7690	32	48	in	in	ADP
fcis-7690	32	49	anchorbased	anchorbase	VERB
fcis-7690	32	50	method	method	NOUN
fcis-7690	32	51	and	and	CCONJ
fcis-7690	32	52	can	can	AUX
fcis-7690	32	53	locate	locate	VERB
fcis-7690	32	54	small	small	ADJ
fcis-7690	32	55	targets	target	NOUN
fcis-7690	32	56	more	more	ADV
fcis-7690	32	57	accurately	accurately	ADV
fcis-7690	32	58	.	.	PUNCT
fcis-7690	33	1	finally	finally	ADV
fcis-7690	33	2	,	,	PUNCT
fcis-7690	33	3	the	the	DET
fcis-7690	33	4	post	post	ADJ
fcis-7690	33	5	-	-	ADJ
fcis-7690	33	6	processing	process	VERB
fcis-7690	33	7	module	module	NOUN
fcis-7690	33	8	carries	carry	VERB
fcis-7690	33	9	out	out	ADP
fcis-7690	33	10	postprocessing	postprocessing	NOUN
fcis-7690	33	11	on	on	ADP
fcis-7690	33	12	the	the	DET
fcis-7690	33	13	output	output	NOUN
fcis-7690	33	14	result	result	NOUN
fcis-7690	33	15	of	of	ADP
fcis-7690	33	16	the	the	DET
fcis-7690	33	17	model	model	NOUN
fcis-7690	33	18	,	,	PUNCT
fcis-7690	33	19	including	include	VERB
fcis-7690	33	20	the	the	DET
fcis-7690	33	21	steps	step	NOUN
fcis-7690	33	22	of	of	ADP
fcis-7690	33	23	non	non	ADJ
fcis-7690	33	24	-	-	ADJ
fcis-7690	33	25	maximum	maximum	ADJ
fcis-7690	33	26	suppression	suppression	NOUN
fcis-7690	33	27	(	(	PUNCT
fcis-7690	33	28	nms	nms	NOUN
fcis-7690	33	29	)	)	PUNCT
fcis-7690	33	30	and	and	CCONJ
fcis-7690	33	31	confidence	confidence	NOUN
fcis-7690	33	32	screening	screening	NOUN
fcis-7690	33	33	,	,	PUNCT
fcis-7690	33	34	so	so	SCONJ
fcis-7690	33	35	as	as	SCONJ
fcis-7690	33	36	to	to	PART
fcis-7690	33	37	filter	filter	VERB
fcis-7690	33	38	the	the	DET
fcis-7690	33	39	redundant	redundant	ADJ
fcis-7690	33	40	information	information	NOUN
fcis-7690	33	41	and	and	CCONJ
fcis-7690	33	42	get	get	VERB
fcis-7690	33	43	the	the	DET
fcis-7690	33	44	final	final	ADJ
fcis-7690	33	45	target	target	NOUN
fcis-7690	33	46	detection	detection	NOUN
fcis-7690	33	47	result	result	NOUN
fcis-7690	33	48	.	.	PUNCT
fcis-7690	34	1	2.2	2.2	NUM
fcis-7690	34	2	.	.	PUNCT
fcis-7690	35	1	hardhat	hardhat	PROPN
fcis-7690	35	2	detection	detection	NOUN
fcis-7690	35	3	algorithm	algorithm	NOUN
fcis-7690	35	4	based	base	VERB
fcis-7690	35	5	on	on	ADP
fcis-7690	35	6	improved	improved	ADJ
fcis-7690	35	7	yolox	yolox	NOUN
fcis-7690	35	8	for	for	ADP
fcis-7690	35	9	helmet	helmet	NOUN
fcis-7690	35	10	wearing	wear	VERB
fcis-7690	35	11	detection	detection	NOUN
fcis-7690	35	12	,	,	PUNCT
fcis-7690	35	13	the	the	DET
fcis-7690	35	14	paper	paper	NOUN
fcis-7690	35	15	combines	combine	VERB
fcis-7690	35	16	the	the	DET
fcis-7690	35	17	existing	exist	VERB
fcis-7690	35	18	yolox	yolox	NOUN
fcis-7690	35	19	network	network	NOUN
fcis-7690	35	20	model	model	NOUN
fcis-7690	35	21	and	and	CCONJ
fcis-7690	35	22	adds	add	VERB
fcis-7690	35	23	the	the	DET
fcis-7690	35	24	squeeze	squeeze	NOUN
fcis-7690	35	25	and	and	CCONJ
fcis-7690	35	26	excitation	excitation	NOUN
fcis-7690	35	27	module	module	NOUN
fcis-7690	35	28	.	.	PUNCT
fcis-7690	36	1	the	the	DET
fcis-7690	36	2	original	original	ADJ
fcis-7690	36	3	loss	loss	NOUN
fcis-7690	36	4	function	function	NOUN
fcis-7690	36	5	is	be	AUX
fcis-7690	36	6	optimized	optimize	VERB
fcis-7690	36	7	as	as	ADP
fcis-7690	36	8	varifocal	varifocal	ADJ
fcis-7690	36	9	loss	loss	NOUN
fcis-7690	36	10	.	.	PUNCT
fcis-7690	37	1	the	the	DET
fcis-7690	37	2	anchor	anchor	NOUN
fcis-7690	37	3	-	-	PUNCT
fcis-7690	37	4	free	free	ADJ
fcis-7690	37	5	mechanism	mechanism	NOUN
fcis-7690	37	6	is	be	AUX
fcis-7690	37	7	adopted	adopt	VERB
fcis-7690	37	8	to	to	PART
fcis-7690	37	9	improve	improve	VERB
fcis-7690	37	10	the	the	DET
fcis-7690	37	11	helmet	helmet	NOUN
fcis-7690	37	12	wearing	wear	VERB
fcis-7690	37	13	detection	detection	NOUN
fcis-7690	37	14	effect	effect	NOUN
fcis-7690	37	15	.	.	PUNCT
fcis-7690	38	1	137	137	NUM
fcis-7690	38	2	2.2.1	2.2.1	NUM
fcis-7690	38	3	.	.	PUNCT
fcis-7690	38	4	introduction	introduction	NOUN
fcis-7690	38	5	of	of	ADP
fcis-7690	38	6	the	the	DET
fcis-7690	38	7	attention	attention	NOUN
fcis-7690	38	8	mechanism	mechanism	NOUN
fcis-7690	38	9	attention	attention	NOUN
fcis-7690	38	10	mechanism	mechanism	NOUN
fcis-7690	38	11	is	be	AUX
fcis-7690	38	12	a	a	DET
fcis-7690	38	13	technique	technique	NOUN
fcis-7690	38	14	to	to	PART
fcis-7690	38	15	improve	improve	VERB
fcis-7690	38	16	the	the	DET
fcis-7690	38	17	performance	performance	NOUN
fcis-7690	38	18	of	of	ADP
fcis-7690	38	19	deep	deep	ADJ
fcis-7690	38	20	neural	neural	ADJ
fcis-7690	38	21	networks	network	NOUN
fcis-7690	38	22	and	and	CCONJ
fcis-7690	38	23	has	have	AUX
fcis-7690	38	24	been	be	AUX
fcis-7690	38	25	widely	widely	ADV
fcis-7690	38	26	used	use	VERB
fcis-7690	38	27	in	in	ADP
fcis-7690	38	28	target	target	NOUN
fcis-7690	38	29	detection	detection	NOUN
fcis-7690	38	30	tasks	task	NOUN
fcis-7690	38	31	.	.	PUNCT
fcis-7690	39	1	among	among	ADP
fcis-7690	39	2	them	they	PRON
fcis-7690	39	3	,	,	PUNCT
fcis-7690	39	4	the	the	DET
fcis-7690	39	5	squeeze	squeeze	NOUN
fcis-7690	39	6	-	-	PUNCT
fcis-7690	39	7	andexcitation	andexcitation	NOUN
fcis-7690	39	8	(	(	PUNCT
fcis-7690	39	9	se	se	X
fcis-7690	39	10	)	)	PUNCT
fcis-7690	39	11	module	module	NOUN
fcis-7690	39	12	is	be	AUX
fcis-7690	39	13	a	a	DET
fcis-7690	39	14	lightweight	lightweight	ADJ
fcis-7690	39	15	,	,	PUNCT
fcis-7690	39	16	pluggable	pluggable	ADJ
fcis-7690	39	17	and	and	CCONJ
fcis-7690	39	18	efficient	efficient	ADJ
fcis-7690	39	19	way	way	NOUN
fcis-7690	39	20	to	to	PART
fcis-7690	39	21	implement	implement	VERB
fcis-7690	39	22	the	the	DET
fcis-7690	39	23	attention	attention	NOUN
fcis-7690	39	24	mechanism	mechanism	NOUN
fcis-7690	39	25	.	.	PUNCT
fcis-7690	40	1	the	the	DET
fcis-7690	40	2	se	se	PROPN
fcis-7690	40	3	module	module	NOUN
fcis-7690	40	4	consists	consist	VERB
fcis-7690	40	5	of	of	ADP
fcis-7690	40	6	two	two	NUM
fcis-7690	40	7	steps	step	NOUN
fcis-7690	40	8	,	,	PUNCT
fcis-7690	40	9	as	as	SCONJ
fcis-7690	40	10	shown	show	VERB
fcis-7690	40	11	in	in	ADP
fcis-7690	40	12	figure	figure	NOUN
fcis-7690	40	13	2	2	NUM
fcis-7690	40	14	:	:	PUNCT
fcis-7690	40	15	figure	figure	NOUN
fcis-7690	40	16	2	2	NUM
fcis-7690	40	17	.	.	PUNCT
fcis-7690	40	18	attention	attention	NOUN
fcis-7690	40	19	mechanism	mechanism	NOUN
fcis-7690	40	20	structure	structure	NOUN
fcis-7690	40	21	the	the	DET
fcis-7690	40	22	first	first	ADJ
fcis-7690	40	23	step	step	NOUN
fcis-7690	40	24	is	be	AUX
fcis-7690	40	25	the	the	DET
fcis-7690	40	26	squeeze	squeeze	NOUN
fcis-7690	40	27	operation	operation	NOUN
fcis-7690	40	28	,	,	PUNCT
fcis-7690	40	29	in	in	ADP
fcis-7690	40	30	which	which	PRON
fcis-7690	40	31	the	the	DET
fcis-7690	40	32	input	input	NOUN
fcis-7690	40	33	feature	feature	NOUN
fcis-7690	40	34	graph	graph	NOUN
fcis-7690	40	35	is	be	AUX
fcis-7690	40	36	globally	globally	ADV
fcis-7690	40	37	average	average	ADJ
fcis-7690	40	38	pooled	pool	VERB
fcis-7690	40	39	in	in	ADP
fcis-7690	40	40	the	the	DET
fcis-7690	40	41	channel	channel	NOUN
fcis-7690	40	42	dimension	dimension	NOUN
fcis-7690	40	43	to	to	PART
fcis-7690	40	44	obtain	obtain	VERB
fcis-7690	40	45	a	a	DET
fcis-7690	40	46	vector	vector	NOUN
fcis-7690	40	47	with	with	ADP
fcis-7690	40	48	a	a	DET
fcis-7690	40	49	small	small	ADJ
fcis-7690	40	50	number	number	NOUN
fcis-7690	40	51	of	of	ADP
fcis-7690	40	52	channels	channel	NOUN
fcis-7690	40	53	;	;	PUNCT
fcis-7690	40	54	the	the	DET
fcis-7690	40	55	second	second	ADJ
fcis-7690	40	56	step	step	NOUN
fcis-7690	40	57	is	be	AUX
fcis-7690	40	58	the	the	DET
fcis-7690	40	59	excitation	excitation	NOUN
fcis-7690	40	60	operation	operation	NOUN
fcis-7690	40	61	.	.	PUNCT
fcis-7690	41	1	the	the	DET
fcis-7690	41	2	vector	vector	NOUN
fcis-7690	41	3	is	be	AUX
fcis-7690	41	4	mapped	map	VERB
fcis-7690	41	5	to	to	ADP
fcis-7690	41	6	a	a	DET
fcis-7690	41	7	vector	vector	NOUN
fcis-7690	41	8	with	with	ADP
fcis-7690	41	9	the	the	DET
fcis-7690	41	10	same	same	ADJ
fcis-7690	41	11	number	number	NOUN
fcis-7690	41	12	of	of	ADP
fcis-7690	41	13	channels	channel	NOUN
fcis-7690	41	14	through	through	ADP
fcis-7690	41	15	two	two	NUM
fcis-7690	41	16	full	full	ADJ
fcis-7690	41	17	connection	connection	NOUN
fcis-7690	41	18	layers	layer	NOUN
fcis-7690	41	19	.	.	PUNCT
fcis-7690	42	1	the	the	DET
fcis-7690	42	2	sigmoid	sigmoid	NOUN
fcis-7690	42	3	function	function	NOUN
fcis-7690	42	4	is	be	AUX
fcis-7690	42	5	used	use	VERB
fcis-7690	42	6	to	to	PART
fcis-7690	42	7	normalize	normalize	VERB
fcis-7690	42	8	it	it	PRON
fcis-7690	42	9	.	.	PUNCT
fcis-7690	43	1	the	the	DET
fcis-7690	43	2	importance	importance	NOUN
fcis-7690	43	3	weights	weight	VERB
fcis-7690	43	4	for	for	ADP
fcis-7690	43	5	each	each	DET
fcis-7690	43	6	channel	channel	NOUN
fcis-7690	43	7	and	and	CCONJ
fcis-7690	43	8	the	the	DET
fcis-7690	43	9	inputs	input	NOUN
fcis-7690	43	10	are	be	AUX
fcis-7690	43	11	obtained	obtain	VERB
fcis-7690	43	12	.	.	PUNCT
fcis-7690	44	1	there	there	PRON
fcis-7690	44	2	are	be	VERB
fcis-7690	44	3	two	two	NUM
fcis-7690	44	4	main	main	ADJ
fcis-7690	44	5	ways	way	NOUN
fcis-7690	44	6	to	to	PART
fcis-7690	44	7	apply	apply	VERB
fcis-7690	44	8	se	se	NOUN
fcis-7690	44	9	module	module	NOUN
fcis-7690	44	10	in	in	ADP
fcis-7690	44	11	object	object	NOUN
fcis-7690	44	12	detection	detection	NOUN
fcis-7690	44	13	tasks	task	NOUN
fcis-7690	44	14	:	:	PUNCT
fcis-7690	44	15	one	one	NUM
fcis-7690	44	16	is	be	AUX
fcis-7690	44	17	to	to	PART
fcis-7690	44	18	embed	embed	VERB
fcis-7690	44	19	se	se	PROPN
fcis-7690	44	20	module	module	NOUN
fcis-7690	44	21	into	into	ADP
fcis-7690	44	22	the	the	DET
fcis-7690	44	23	target	target	NOUN
fcis-7690	44	24	detection	detection	NOUN
fcis-7690	44	25	network	network	NOUN
fcis-7690	44	26	as	as	ADP
fcis-7690	44	27	a	a	DET
fcis-7690	44	28	part	part	NOUN
fcis-7690	44	29	,	,	PUNCT
fcis-7690	44	30	the	the	DET
fcis-7690	44	31	other	other	ADJ
fcis-7690	44	32	is	be	AUX
fcis-7690	44	33	to	to	PART
fcis-7690	44	34	apply	apply	VERB
fcis-7690	44	35	se	se	NOUN
fcis-7690	44	36	module	module	NOUN
fcis-7690	44	37	to	to	ADP
fcis-7690	44	38	the	the	DET
fcis-7690	44	39	backbone	backbone	NOUN
fcis-7690	44	40	network	network	NOUN
fcis-7690	44	41	to	to	PART
fcis-7690	44	42	improve	improve	VERB
fcis-7690	44	43	the	the	DET
fcis-7690	44	44	expression	expression	NOUN
fcis-7690	44	45	ability	ability	NOUN
fcis-7690	44	46	of	of	ADP
fcis-7690	44	47	features	feature	NOUN
fcis-7690	44	48	.	.	PUNCT
fcis-7690	45	1	the	the	DET
fcis-7690	45	2	introduction	introduction	NOUN
fcis-7690	45	3	of	of	ADP
fcis-7690	45	4	se	se	PROPN
fcis-7690	45	5	module	module	NOUN
fcis-7690	45	6	can	can	AUX
fcis-7690	45	7	greatly	greatly	ADV
fcis-7690	45	8	improve	improve	VERB
fcis-7690	45	9	the	the	DET
fcis-7690	45	10	detection	detection	NOUN
fcis-7690	45	11	accuracy	accuracy	NOUN
fcis-7690	45	12	,	,	PUNCT
fcis-7690	45	13	while	while	SCONJ
fcis-7690	45	14	it	it	PRON
fcis-7690	45	15	has	have	VERB
fcis-7690	45	16	little	little	ADJ
fcis-7690	45	17	influence	influence	NOUN
fcis-7690	45	18	on	on	ADP
fcis-7690	45	19	the	the	DET
fcis-7690	45	20	computing	computing	NOUN
fcis-7690	45	21	cost	cost	NOUN
fcis-7690	45	22	of	of	ADP
fcis-7690	45	23	the	the	DET
fcis-7690	45	24	model	model	NOUN
fcis-7690	45	25	.	.	PUNCT
fcis-7690	46	1	in	in	ADP
fcis-7690	46	2	this	this	DET
fcis-7690	46	3	paper	paper	NOUN
fcis-7690	46	4	,	,	PUNCT
fcis-7690	46	5	se	se	X
fcis-7690	46	6	module	module	NOUN
fcis-7690	46	7	is	be	AUX
fcis-7690	46	8	inserted	insert	VERB
fcis-7690	46	9	into	into	ADP
fcis-7690	46	10	neck	neck	NOUN
fcis-7690	46	11	network	network	NOUN
fcis-7690	46	12	of	of	ADP
fcis-7690	46	13	detection	detection	NOUN
fcis-7690	46	14	network	network	NOUN
fcis-7690	46	15	and	and	CCONJ
fcis-7690	46	16	connected	connect	VERB
fcis-7690	46	17	with	with	ADP
fcis-7690	46	18	output	output	NOUN
fcis-7690	46	19	of	of	ADP
fcis-7690	46	20	dark3	dark3	NOUN
fcis-7690	46	21	,	,	PUNCT
fcis-7690	46	22	dark4	dark4	PROPN
fcis-7690	46	23	and	and	CCONJ
fcis-7690	46	24	dark5	dark5	NOUN
fcis-7690	46	25	in	in	ADP
fcis-7690	46	26	cspdarknet53	cspdarknet53	NOUN
fcis-7690	46	27	feature	feature	NOUN
fcis-7690	46	28	extraction	extraction	NOUN
fcis-7690	46	29	network	network	NOUN
fcis-7690	46	30	.	.	PUNCT
fcis-7690	47	1	the	the	DET
fcis-7690	47	2	up	up	ADP
fcis-7690	47	3	sampling	sampling	NOUN
fcis-7690	47	4	and	and	CCONJ
fcis-7690	47	5	down	down	ADV
fcis-7690	47	6	sampling	sample	VERB
fcis-7690	47	7	scaling	scale	VERB
fcis-7690	47	8	operations	operation	NOUN
fcis-7690	47	9	of	of	ADP
fcis-7690	47	10	three	three	NUM
fcis-7690	47	11	feature	feature	NOUN
fcis-7690	47	12	graphs	graph	NOUN
fcis-7690	47	13	of	of	ADP
fcis-7690	47	14	different	different	ADJ
fcis-7690	47	15	sizes	size	NOUN
fcis-7690	47	16	are	be	AUX
fcis-7690	47	17	realized	realize	VERB
fcis-7690	47	18	through	through	ADP
fcis-7690	47	19	fpn	fpn	NOUN
fcis-7690	47	20	and	and	CCONJ
fcis-7690	47	21	panet	panet	PROPN
fcis-7690	47	22	network	network	NOUN
fcis-7690	47	23	structure	structure	NOUN
fcis-7690	47	24	.	.	PUNCT
fcis-7690	48	1	the	the	DET
fcis-7690	48	2	feature	feature	NOUN
fcis-7690	48	3	maps	map	NOUN
fcis-7690	48	4	of	of	ADP
fcis-7690	48	5	the	the	DET
fcis-7690	48	6	same	same	ADJ
fcis-7690	48	7	size	size	NOUN
fcis-7690	48	8	are	be	AUX
fcis-7690	48	9	fused	fuse	VERB
fcis-7690	48	10	with	with	ADP
fcis-7690	48	11	each	each	DET
fcis-7690	48	12	other	other	ADJ
fcis-7690	48	13	,	,	PUNCT
fcis-7690	48	14	so	so	SCONJ
fcis-7690	48	15	as	as	SCONJ
fcis-7690	48	16	to	to	PART
fcis-7690	48	17	enhance	enhance	VERB
fcis-7690	48	18	the	the	DET
fcis-7690	48	19	feature	feature	NOUN
fcis-7690	48	20	representation	representation	NOUN
fcis-7690	48	21	ability	ability	NOUN
fcis-7690	48	22	of	of	ADP
fcis-7690	48	23	these	these	DET
fcis-7690	48	24	layers	layer	NOUN
fcis-7690	48	25	.	.	PUNCT
fcis-7690	49	1	after	after	ADP
fcis-7690	49	2	fusion	fusion	NOUN
fcis-7690	49	3	,	,	PUNCT
fcis-7690	49	4	the	the	DET
fcis-7690	49	5	threedimensional	threedimensional	ADJ
fcis-7690	49	6	feature	feature	NOUN
fcis-7690	49	7	diagrams	diagram	NOUN
fcis-7690	49	8	pass	pass	VERB
fcis-7690	49	9	through	through	ADP
fcis-7690	49	10	the	the	DET
fcis-7690	49	11	three	three	NUM
fcis-7690	49	12	yolo	yolo	ADJ
fcis-7690	49	13	convolution	convolution	NOUN
fcis-7690	49	14	layers	layer	NOUN
fcis-7690	49	15	of	of	ADP
fcis-7690	49	16	large	large	ADJ
fcis-7690	49	17	,	,	PUNCT
fcis-7690	49	18	medium	medium	ADJ
fcis-7690	49	19	and	and	CCONJ
fcis-7690	49	20	small	small	ADJ
fcis-7690	49	21	,	,	PUNCT
fcis-7690	49	22	and	and	CCONJ
fcis-7690	49	23	enter	enter	VERB
fcis-7690	49	24	the	the	DET
fcis-7690	49	25	decoupling	decouple	VERB
fcis-7690	49	26	head	head	NOUN
fcis-7690	49	27	of	of	ADP
fcis-7690	49	28	yolox	yolox	NOUN
fcis-7690	49	29	for	for	ADP
fcis-7690	49	30	detection	detection	NOUN
fcis-7690	49	31	and	and	CCONJ
fcis-7690	49	32	recognition	recognition	NOUN
fcis-7690	49	33	of	of	ADP
fcis-7690	49	34	helmet	helmet	NOUN
fcis-7690	49	35	wearing	wear	VERB
fcis-7690	49	36	.	.	PUNCT
fcis-7690	50	1	the	the	DET
fcis-7690	50	2	network	network	NOUN
fcis-7690	50	3	is	be	AUX
fcis-7690	50	4	shown	show	VERB
fcis-7690	50	5	in	in	ADP
fcis-7690	50	6	figure	figure	NOUN
fcis-7690	50	7	3	3	NUM
fcis-7690	50	8	.	.	PUNCT
fcis-7690	50	9	figure	figure	NOUN
fcis-7690	50	10	3	3	NUM
fcis-7690	50	11	.	.	PUNCT
fcis-7690	51	1	the	the	DET
fcis-7690	51	2	structure	structure	NOUN
fcis-7690	51	3	of	of	ADP
fcis-7690	51	4	the	the	DET
fcis-7690	51	5	improved	improved	ADJ
fcis-7690	51	6	yolox	yolox	NOUN
fcis-7690	51	7	network	network	NOUN
fcis-7690	51	8	2.2.2	2.2.2	NUM
fcis-7690	51	9	.	.	PUNCT
fcis-7690	52	1	varifocal	varifocal	ADJ
fcis-7690	52	2	loss	loss	NOUN
fcis-7690	52	3	optimization	optimization	NOUN
fcis-7690	52	4	loss	loss	NOUN
fcis-7690	52	5	function	function	NOUN
fcis-7690	52	6	yolox	yolox	NOUN
fcis-7690	52	7	improves	improve	VERB
fcis-7690	52	8	the	the	DET
fcis-7690	52	9	performance	performance	NOUN
fcis-7690	52	10	of	of	ADP
fcis-7690	52	11	target	target	NOUN
fcis-7690	52	12	detection	detection	NOUN
fcis-7690	52	13	by	by	ADP
fcis-7690	52	14	introducing	introduce	VERB
fcis-7690	52	15	varifocal	varifocal	ADJ
fcis-7690	52	16	loss	loss	NOUN
fcis-7690	52	17	optimization	optimization	NOUN
fcis-7690	52	18	function	function	NOUN
fcis-7690	52	19	.	.	PUNCT
fcis-7690	53	1	this	this	DET
fcis-7690	53	2	loss	loss	NOUN
fcis-7690	53	3	function	function	NOUN
fcis-7690	53	4	is	be	AUX
fcis-7690	53	5	improved	improve	VERB
fcis-7690	53	6	for	for	ADP
fcis-7690	53	7	the	the	DET
fcis-7690	53	8	class	class	NOUN
fcis-7690	53	9	imbalance	imbalance	NOUN
fcis-7690	53	10	in	in	ADP
fcis-7690	53	11	focal	focal	ADJ
fcis-7690	53	12	loss	loss	NOUN
fcis-7690	53	13	.	.	PUNCT
fcis-7690	54	1	by	by	ADP
fcis-7690	54	2	adjusting	adjust	VERB
fcis-7690	54	3	the	the	DET
fcis-7690	54	4	weight	weight	NOUN
fcis-7690	54	5	coefficients	coefficient	NOUN
fcis-7690	54	6	of	of	ADP
fcis-7690	54	7	each	each	DET
fcis-7690	54	8	positive	positive	ADJ
fcis-7690	54	9	and	and	CCONJ
fcis-7690	54	10	negative	negative	ADJ
fcis-7690	54	11	sample	sample	NOUN
fcis-7690	54	12	,	,	PUNCT
fcis-7690	54	13	the	the	DET
fcis-7690	54	14	model	model	NOUN
fcis-7690	54	15	pays	pay	VERB
fcis-7690	54	16	more	more	ADJ
fcis-7690	54	17	attention	attention	NOUN
fcis-7690	54	18	to	to	ADP
fcis-7690	54	19	the	the	DET
fcis-7690	54	20	samples	sample	NOUN
fcis-7690	54	21	that	that	PRON
fcis-7690	54	22	are	be	AUX
fcis-7690	54	23	difficult	difficult	ADJ
fcis-7690	54	24	to	to	PART
fcis-7690	54	25	distinguish	distinguish	VERB
fcis-7690	54	26	,	,	PUNCT
fcis-7690	54	27	so	so	SCONJ
fcis-7690	54	28	as	as	SCONJ
fcis-7690	54	29	to	to	PART
fcis-7690	54	30	improve	improve	VERB
fcis-7690	54	31	the	the	DET
fcis-7690	54	32	detection	detection	NOUN
fcis-7690	54	33	accuracy	accuracy	NOUN
fcis-7690	54	34	.	.	PUNCT
fcis-7690	55	1	specifically	specifically	ADV
fcis-7690	55	2	,	,	PUNCT
fcis-7690	55	3	varifocal	varifocal	ADJ
fcis-7690	55	4	loss	loss	NOUN
fcis-7690	55	5	replaces	replace	VERB
fcis-7690	55	6	the	the	DET
fcis-7690	55	7	square	square	ADJ
fcis-7690	55	8	term	term	NOUN
fcis-7690	55	9	index	index	NOUN
fcis-7690	55	10	γ	γ	X
fcis-7690	55	11	(	(	PUNCT
fcis-7690	55	12	2	2	NUM
fcis-7690	55	13	by	by	ADP
fcis-7690	55	14	default	default	NOUN
fcis-7690	55	15	)	)	PUNCT
fcis-7690	55	16	in	in	ADP
fcis-7690	55	17	focal	focal	ADJ
fcis-7690	55	18	loss	loss	NOUN
fcis-7690	55	19	with	with	ADP
fcis-7690	55	20	an	an	DET
fcis-7690	55	21	adjustable	adjustable	ADJ
fcis-7690	55	22	parameter	parameter	NOUN
fcis-7690	55	23	α	α	NOUN
fcis-7690	55	24	,	,	PUNCT
fcis-7690	55	25	which	which	PRON
fcis-7690	55	26	is	be	AUX
fcis-7690	55	27	used	use	VERB
fcis-7690	55	28	to	to	PART
fcis-7690	55	29	control	control	VERB
fcis-7690	55	30	the	the	DET
fcis-7690	55	31	weight	weight	NOUN
fcis-7690	55	32	difference	difference	NOUN
fcis-7690	55	33	between	between	ADP
fcis-7690	55	34	positive	positive	ADJ
fcis-7690	55	35	and	and	CCONJ
fcis-7690	55	36	negative	negative	ADJ
fcis-7690	55	37	samples	sample	NOUN
fcis-7690	55	38	.	.	PUNCT
fcis-7690	56	1	at	at	ADP
fcis-7690	56	2	the	the	DET
fcis-7690	56	3	same	same	ADJ
fcis-7690	56	4	time	time	NOUN
fcis-7690	56	5	,	,	PUNCT
fcis-7690	56	6	a	a	DET
fcis-7690	56	7	new	new	ADJ
fcis-7690	56	8	learnable	learnable	ADJ
fcis-7690	56	9	parameter	parameter	NOUN
fcis-7690	56	10	β	β	PROPN
fcis-7690	56	11	is	be	AUX
fcis-7690	56	12	introduced	introduce	VERB
fcis-7690	56	13	to	to	PART
fcis-7690	56	14	adjust	adjust	VERB
fcis-7690	56	15	the	the	DET
fcis-7690	56	16	weight	weight	NOUN
fcis-7690	56	17	difference	difference	NOUN
fcis-7690	56	18	between	between	ADP
fcis-7690	56	19	the	the	DET
fcis-7690	56	20	difficult	difficult	ADJ
fcis-7690	56	21	and	and	CCONJ
fcis-7690	56	22	easy	easy	ADJ
fcis-7690	56	23	samples	sample	NOUN
fcis-7690	56	24	.	.	PUNCT
fcis-7690	57	1	that	that	PRON
fcis-7690	57	2	is	be	AUX
fcis-7690	57	3	,	,	PUNCT
fcis-7690	57	4	for	for	ADP
fcis-7690	57	5	the	the	DET
fcis-7690	57	6	i	i	PROPN
fcis-7690	57	7	-	-	PUNCT
fcis-7690	57	8	th	th	VERB
fcis-7690	57	9	sample	sample	NOUN
fcis-7690	57	10	,	,	PUNCT
fcis-7690	57	11	li	li	X
fcis-7690	58	1	=	=	PUNCT
fcis-7690	58	2	−(1	−(1	ADJ
fcis-7690	58	3	−	−	PROPN
fcis-7690	58	4	pi	pi	NOUN
fcis-7690	58	5	)	)	PUNCT
fcis-7690	58	6	α(yi	α(yi	NUM
fcis-7690	58	7	log(pi	log(pi	NOUN
fcis-7690	58	8	)	)	PUNCT
fcis-7690	58	9	−	−	PROPN
fcis-7690	58	10	β(yi	β(yi	NUM
fcis-7690	58	11	−	−	NUM
fcis-7690	58	12	pi	pi	NOUN
fcis-7690	58	13	)	)	PUNCT
fcis-7690	58	14	2	2	NUM
fcis-7690	58	15	log(1	log(1	NOUN
fcis-7690	58	16	−	−	NOUN
fcis-7690	58	17	pi	pi	NOUN
fcis-7690	58	18	)	)	PUNCT
fcis-7690	58	19	)	)	PUNCT
fcis-7690	59	1	−pi	−pi	PROPN
fcis-7690	60	1	α((1	α((1	PROPN
fcis-7690	60	2	−	−	PROPN
fcis-7690	60	3	yi	yi	NOUN
fcis-7690	60	4	)	)	PUNCT
fcis-7690	60	5	log(1	log(1	NOUN
fcis-7690	60	6	−	−	ADP
fcis-7690	61	1	pi	pi	NOUN
fcis-7690	61	2	)	)	PUNCT
fcis-7690	62	1	−	−	PROPN
fcis-7690	62	2	β(yi	β(yi	NUM
fcis-7690	62	3	−	−	NUM
fcis-7690	62	4	pi	pi	NOUN
fcis-7690	62	5	)	)	PUNCT
fcis-7690	62	6	2	2	NUM
fcis-7690	62	7	log(pi	log(pi	NOUN
fcis-7690	62	8	)	)	PUNCT
fcis-7690	62	9	)	)	PUNCT
fcis-7690	63	1	(	(	PUNCT
fcis-7690	63	2	1	1	X
fcis-7690	63	3	)	)	PUNCT
fcis-7690	63	4	where	where	SCONJ
fcis-7690	63	5	,	,	PUNCT
fcis-7690	63	6	pi	pi	PROPN
fcis-7690	63	7	denotes	denote	VERB
fcis-7690	63	8	the	the	DET
fcis-7690	63	9	probability	probability	NOUN
fcis-7690	63	10	that	that	SCONJ
fcis-7690	63	11	the	the	DET
fcis-7690	63	12	prediction	prediction	NOUN
fcis-7690	63	13	is	be	AUX
fcis-7690	63	14	a	a	DET
fcis-7690	63	15	positive	positive	ADJ
fcis-7690	63	16	sample	sample	NOUN
fcis-7690	63	17	,	,	PUNCT
fcis-7690	63	18	yi	yi	PROPN
fcis-7690	63	19	denotes	denote	VERB
fcis-7690	63	20	the	the	DET
fcis-7690	63	21	true	true	ADJ
fcis-7690	63	22	label	label	NOUN
fcis-7690	63	23	,	,	PUNCT
fcis-7690	63	24	αand	αand	ADV
fcis-7690	63	25	β	β	X
fcis-7690	63	26	are	be	AUX
fcis-7690	63	27	two	two	NUM
fcis-7690	63	28	tunable	tunable	ADJ
fcis-7690	63	29	parameters	parameter	NOUN
fcis-7690	63	30	.	.	PUNCT
fcis-7690	64	1	in	in	ADP
fcis-7690	64	2	this	this	DET
fcis-7690	64	3	paper	paper	NOUN
fcis-7690	64	4	,	,	PUNCT
fcis-7690	64	5	through	through	ADP
fcis-7690	64	6	experimental	experimental	ADJ
fcis-7690	64	7	comparison	comparison	NOUN
fcis-7690	64	8	,	,	PUNCT
fcis-7690	64	9	varifocal	varifocal	ADJ
fcis-7690	64	10	loss	loss	NOUN
fcis-7690	64	11	showed	show	VERB
fcis-7690	64	12	better	well	ADJ
fcis-7690	64	13	detection	detection	NOUN
fcis-7690	64	14	performance	performance	NOUN
fcis-7690	64	15	compared	compare	VERB
fcis-7690	64	16	with	with	ADP
fcis-7690	64	17	traditional	traditional	ADJ
fcis-7690	64	18	focal	focal	ADJ
fcis-7690	64	19	loss	loss	NOUN
fcis-7690	64	20	.	.	PUNCT
fcis-7690	65	1	3	3	X
fcis-7690	65	2	.	.	X
fcis-7690	65	3	experiment	experiment	NOUN
fcis-7690	65	4	and	and	CCONJ
fcis-7690	65	5	results	result	VERB
fcis-7690	65	6	3.1	3.1	NUM
fcis-7690	65	7	.	.	PUNCT
fcis-7690	66	1	experimental	experimental	ADJ
fcis-7690	66	2	data	datum	NOUN
fcis-7690	66	3	set	set	VERB
fcis-7690	66	4	the	the	DET
fcis-7690	66	5	experimental	experimental	ADJ
fcis-7690	66	6	data	datum	NOUN
fcis-7690	66	7	set	set	VERB
fcis-7690	66	8	used	use	VERB
fcis-7690	66	9	in	in	ADP
fcis-7690	66	10	this	this	DET
fcis-7690	66	11	paper	paper	NOUN
fcis-7690	66	12	is	be	AUX
fcis-7690	66	13	the	the	DET
fcis-7690	66	14	construction	construction	NOUN
fcis-7690	66	15	scenes	scene	NOUN
fcis-7690	66	16	from	from	ADP
fcis-7690	66	17	various	various	ADJ
fcis-7690	66	18	sites	site	NOUN
fcis-7690	66	19	,	,	PUNCT
fcis-7690	66	20	including	include	VERB
fcis-7690	66	21	multiple	multiple	ADJ
fcis-7690	66	22	scenes	scene	NOUN
fcis-7690	66	23	with	with	ADP
fcis-7690	66	24	different	different	ADJ
fcis-7690	66	25	picture	picture	NOUN
fcis-7690	66	26	resolution	resolution	NOUN
fcis-7690	66	27	,	,	PUNCT
fcis-7690	66	28	lighting	lighting	NOUN
fcis-7690	66	29	conditions	condition	NOUN
fcis-7690	66	30	and	and	CCONJ
fcis-7690	66	31	personnel	personnel	NOUN
fcis-7690	66	32	density	density	NOUN
fcis-7690	66	33	.	.	PUNCT
fcis-7690	67	1	in	in	ADP
fcis-7690	67	2	the	the	DET
fcis-7690	67	3	data	data	NOUN
fcis-7690	67	4	set	set	NOUN
fcis-7690	67	5	,	,	PUNCT
fcis-7690	67	6	there	there	PRON
fcis-7690	67	7	were	be	VERB
fcis-7690	67	8	situations	situation	NOUN
fcis-7690	67	9	where	where	SCONJ
fcis-7690	67	10	the	the	DET
fcis-7690	67	11	scene	scene	NOUN
fcis-7690	67	12	was	be	AUX
fcis-7690	67	13	relatively	relatively	ADV
fcis-7690	67	14	complex	complex	ADJ
fcis-7690	67	15	,	,	PUNCT
fcis-7690	67	16	and	and	CCONJ
fcis-7690	67	17	there	there	PRON
fcis-7690	67	18	were	be	VERB
fcis-7690	67	19	also	also	ADV
fcis-7690	67	20	phenomena	phenomenon	NOUN
fcis-7690	67	21	of	of	ADP
fcis-7690	67	22	wearing	wear	VERB
fcis-7690	67	23	a	a	DET
fcis-7690	67	24	hard	hard	ADJ
fcis-7690	67	25	hat	hat	NOUN
fcis-7690	67	26	but	but	CCONJ
fcis-7690	67	27	having	have	VERB
fcis-7690	67	28	a	a	DET
fcis-7690	67	29	small	small	ADJ
fcis-7690	67	30	target	target	NOUN
fcis-7690	67	31	.	.	PUNCT
fcis-7690	68	1	the	the	DET
fcis-7690	68	2	data	datum	NOUN
fcis-7690	68	3	set	set	VERB
fcis-7690	68	4	size	size	NOUN
fcis-7690	68	5	was	be	AUX
fcis-7690	68	6	5000	5000	NUM
fcis-7690	68	7	images	image	NOUN
fcis-7690	68	8	.	.	PUNCT
fcis-7690	69	1	of	of	ADP
fcis-7690	69	2	these	these	PRON
fcis-7690	69	3	,	,	PUNCT
fcis-7690	69	4	2,800	2,800	NUM
fcis-7690	69	5	images	image	NOUN
fcis-7690	69	6	were	be	AUX
fcis-7690	69	7	used	use	VERB
fcis-7690	69	8	for	for	ADP
fcis-7690	69	9	the	the	DET
fcis-7690	69	10	training	training	NOUN
fcis-7690	69	11	model	model	NOUN
fcis-7690	69	12	,	,	PUNCT
fcis-7690	69	13	1,200	1,200	NUM
fcis-7690	69	14	for	for	ADP
fcis-7690	69	15	the	the	DET
fcis-7690	69	16	test	test	NOUN
fcis-7690	69	17	set	set	VERB
fcis-7690	69	18	and	and	CCONJ
fcis-7690	69	19	1,000	1,000	NUM
fcis-7690	69	20	for	for	ADP
fcis-7690	69	21	the	the	DET
fcis-7690	69	22	verification	verification	NOUN
fcis-7690	69	23	set	set	NOUN
fcis-7690	69	24	.	.	PUNCT
fcis-7690	70	1	3.2	3.2	NUM
fcis-7690	70	2	.	.	PUNCT
fcis-7690	71	1	configuration	configuration	NOUN
fcis-7690	71	2	of	of	ADP
fcis-7690	71	3	the	the	DET
fcis-7690	71	4	experimental	experimental	ADJ
fcis-7690	71	5	environment	environment	NOUN
fcis-7690	71	6	the	the	DET
fcis-7690	71	7	experimental	experimental	ADJ
fcis-7690	71	8	environment	environment	NOUN
fcis-7690	71	9	of	of	ADP
fcis-7690	71	10	this	this	DET
fcis-7690	71	11	paper	paper	NOUN
fcis-7690	71	12	is	be	AUX
fcis-7690	71	13	python3.7.11	python3.7.11	ADJ
fcis-7690	71	14	,	,	PUNCT
fcis-7690	71	15	the	the	DET
fcis-7690	71	16	deep	deep	ADJ
fcis-7690	71	17	learning	learning	NOUN
fcis-7690	71	18	framework	framework	NOUN
fcis-7690	71	19	is	be	AUX
fcis-7690	71	20	pytorch1.8.1	pytorch1.8.1	ADJ
fcis-7690	71	21	,	,	PUNCT
fcis-7690	71	22	the	the	DET
fcis-7690	71	23	training	training	NOUN
fcis-7690	71	24	process	process	NOUN
fcis-7690	71	25	is	be	AUX
fcis-7690	71	26	completed	complete	VERB
fcis-7690	71	27	on	on	ADP
fcis-7690	71	28	nvidia	nvidia	PROPN
fcis-7690	71	29	geforce	geforce	NOUN
fcis-7690	71	30	rtx	rtx	PROPN
fcis-7690	71	31	2080	2080	NUM
fcis-7690	71	32	ti	ti	NOUN
fcis-7690	71	33	,	,	PUNCT
fcis-7690	71	34	11018ibx3	11018ibx3	NUM
fcis-7690	71	35	gpu	gpu	PROPN
fcis-7690	71	36	,	,	PUNCT
fcis-7690	71	37	cuda	cuda	NOUN
fcis-7690	71	38	version	version	NOUN
fcis-7690	71	39	is	be	AUX
fcis-7690	71	40	11.4	11.4	NUM
fcis-7690	71	41	.	.	PUNCT
fcis-7690	72	1	during	during	ADP
fcis-7690	72	2	the	the	DET
fcis-7690	72	3	training	training	NOUN
fcis-7690	72	4	,	,	PUNCT
fcis-7690	72	5	the	the	DET
fcis-7690	72	6	initial	initial	ADJ
fcis-7690	72	7	learning	learning	NOUN
fcis-7690	72	8	rate	rate	NOUN
fcis-7690	72	9	is	be	AUX
fcis-7690	72	10	set	set	VERB
fcis-7690	72	11	as	as	ADP
fcis-7690	72	12	0.0001	0.0001	NUM
fcis-7690	72	13	,	,	PUNCT
fcis-7690	72	14	and	and	CCONJ
fcis-7690	72	15	the	the	DET
fcis-7690	72	16	learning	learning	NOUN
fcis-7690	72	17	rate	rate	NOUN
fcis-7690	72	18	is	be	AUX
fcis-7690	72	19	adjusted	adjust	VERB
fcis-7690	72	20	every	every	DET
fcis-7690	72	21	30	30	NUM
fcis-7690	72	22	epochs	epoch	NOUN
fcis-7690	72	23	.	.	PUNCT
fcis-7690	73	1	the	the	DET
fcis-7690	73	2	adjustment	adjustment	NOUN
fcis-7690	73	3	strategy	strategy	NOUN
fcis-7690	73	4	is	be	AUX
fcis-7690	73	5	that	that	SCONJ
fcis-7690	73	6	the	the	DET
fcis-7690	73	7	learning	learn	VERB
fcis-7690	73	8	rate	rate	NOUN
fcis-7690	73	9	varies	vary	VERB
fcis-7690	73	10	according	accord	VERB
fcis-7690	73	11	to	to	ADP
fcis-7690	73	12	the	the	DET
fcis-7690	73	13	size	size	NOUN
fcis-7690	73	14	of	of	ADP
fcis-7690	73	15	the	the	DET
fcis-7690	73	16	training	training	NOUN
fcis-7690	73	17	batch	batch	NOUN
fcis-7690	73	18	.	.	PUNCT
fcis-7690	74	1	when	when	SCONJ
fcis-7690	74	2	the	the	DET
fcis-7690	74	3	weight	weight	NOUN
fcis-7690	74	4	file	file	NOUN
fcis-7690	74	5	is	be	AUX
fcis-7690	74	6	used	use	VERB
fcis-7690	74	7	,	,	PUNCT
fcis-7690	74	8	yolox_tiny	yolox_tiny	PROPN
fcis-7690	74	9	.	.	PUNCT
fcis-7690	75	1	3.3	3.3	NUM
fcis-7690	75	2	.	.	PUNCT
fcis-7690	76	1	model	model	NOUN
fcis-7690	76	2	performance	performance	NOUN
fcis-7690	76	3	evaluation	evaluation	NOUN
fcis-7690	76	4	index	index	NOUN
fcis-7690	76	5	in	in	ADP
fcis-7690	76	6	order	order	NOUN
fcis-7690	76	7	to	to	PART
fcis-7690	76	8	objectively	objectively	ADV
fcis-7690	76	9	evaluate	evaluate	VERB
fcis-7690	76	10	the	the	DET
fcis-7690	76	11	performance	performance	NOUN
fcis-7690	76	12	of	of	ADP
fcis-7690	76	13	the	the	DET
fcis-7690	76	14	algorithm	algorithm	NOUN
fcis-7690	76	15	in	in	ADP
fcis-7690	76	16	helmet	helmet	NOUN
fcis-7690	76	17	wearing	wear	VERB
fcis-7690	76	18	detection	detection	NOUN
fcis-7690	76	19	,	,	PUNCT
fcis-7690	76	20	mean	mean	ADJ
fcis-7690	76	21	average	average	ADJ
fcis-7690	76	22	precision	precision	NOUN
fcis-7690	76	23	(	(	PUNCT
fcis-7690	76	24	map[10	map[10	ADV
fcis-7690	76	25	]	]	PUNCT
fcis-7690	76	26	)	)	PUNCT
fcis-7690	76	27	should	should	AUX
fcis-7690	76	28	be	be	AUX
fcis-7690	76	29	calculated	calculate	VERB
fcis-7690	76	30	.	.	PUNCT
fcis-7690	77	1	map	map	NOUN
fcis-7690	77	2	index	index	NOUN
fcis-7690	77	3	can	can	AUX
fcis-7690	77	4	objectively	objectively	ADV
fcis-7690	77	5	reflect	reflect	VERB
fcis-7690	77	6	the	the	DET
fcis-7690	77	7	overall	overall	ADJ
fcis-7690	77	8	performance	performance	NOUN
fcis-7690	77	9	of	of	ADP
fcis-7690	77	10	the	the	DET
fcis-7690	77	11	algorithm	algorithm	NOUN
fcis-7690	77	12	,	,	PUNCT
fcis-7690	77	13	and	and	CCONJ
fcis-7690	77	14	the	the	DET
fcis-7690	77	15	calculation	calculation	NOUN
fcis-7690	77	16	formula	formula	NOUN
fcis-7690	77	17	can	can	AUX
fcis-7690	77	18	be	be	AUX
fcis-7690	77	19	expressed	express	VERB
fcis-7690	77	20	as	as	ADP
fcis-7690	77	21	map	map	NOUN
fcis-7690	77	22	=	=	SYM
fcis-7690	77	23	∑	∑	PUNCT
fcis-7690	77	24	api	api	NOUN
fcis-7690	77	25	n	n	PROPN
fcis-7690	77	26	i=1	i=1	PROPN
fcis-7690	77	27	n	n	PROPN
fcis-7690	77	28	(	(	PUNCT
fcis-7690	77	29	2	2	NUM
fcis-7690	77	30	)	)	PUNCT
fcis-7690	77	31	ap	ap	PROPN
fcis-7690	77	32	is	be	AUX
fcis-7690	77	33	the	the	DET
fcis-7690	77	34	area	area	NOUN
fcis-7690	77	35	value	value	NOUN
fcis-7690	77	36	under	under	ADP
fcis-7690	77	37	the	the	DET
fcis-7690	77	38	pr	pr	NOUN
fcis-7690	77	39	curve	curve	NOUN
fcis-7690	77	40	,	,	PUNCT
fcis-7690	77	41	which	which	PRON
fcis-7690	77	42	can	can	AUX
fcis-7690	77	43	be	be	AUX
fcis-7690	77	44	calculated	calculate	VERB
fcis-7690	77	45	using	use	VERB
fcis-7690	77	46	a	a	DET
fcis-7690	77	47	definite	definite	ADJ
fcis-7690	77	48	integral	integral	ADJ
fcis-7690	77	49	ap	ap	NOUN
fcis-7690	77	50	=	=	SYM
fcis-7690	77	51	∫	∫	PROPN
fcis-7690	77	52	p(r)dr	p(r)dr	PART
fcis-7690	77	53	1	1	NUM
fcis-7690	77	54	0	0	NUM
fcis-7690	77	55	(	(	PUNCT
fcis-7690	77	56	3	3	NUM
fcis-7690	77	57	)	)	PUNCT
fcis-7690	77	58	3.4	3.4	NUM
fcis-7690	77	59	.	.	PUNCT
fcis-7690	78	1	analysis	analysis	NOUN
fcis-7690	78	2	of	of	ADP
fcis-7690	78	3	experimental	experimental	ADJ
fcis-7690	78	4	results	result	NOUN
fcis-7690	78	5	through	through	ADP
fcis-7690	78	6	the	the	DET
fcis-7690	78	7	experiment	experiment	NOUN
fcis-7690	78	8	,	,	PUNCT
fcis-7690	78	9	map	map	VERB
fcis-7690	78	10	data	datum	NOUN
fcis-7690	78	11	of	of	ADP
fcis-7690	78	12	different	different	ADJ
fcis-7690	78	13	models	model	NOUN
fcis-7690	78	14	were	be	AUX
fcis-7690	78	15	obtained	obtain	VERB
fcis-7690	78	16	,	,	PUNCT
fcis-7690	78	17	as	as	SCONJ
fcis-7690	78	18	shown	show	VERB
fcis-7690	78	19	in	in	ADP
fcis-7690	78	20	table	table	NOUN
fcis-7690	78	21	1	1	NUM
fcis-7690	78	22	.	.	X
fcis-7690	78	23	138	138	NUM
fcis-7690	78	24	table	table	NOUN
fcis-7690	78	25	1	1	NUM
fcis-7690	78	26	.	.	PUNCT
fcis-7690	79	1	experimental	experimental	ADJ
fcis-7690	79	2	results	result	NOUN
fcis-7690	79	3	data	datum	NOUN
fcis-7690	79	4	map@.5	map@.5	NOUN
fcis-7690	79	5	map@.5:.95	map@.5:.95	PUNCT
fcis-7690	79	6	parameters	parameter	NOUN
fcis-7690	79	7	gflops	gflop	VERB
fcis-7690	79	8	yolox	yolox	NOUN
fcis-7690	79	9	-	-	PUNCT
fcis-7690	79	10	tiny	tiny	ADJ
fcis-7690	79	11	90.01	90.01	NUM
fcis-7690	79	12	63.2	63.2	NUM
fcis-7690	79	13	5.03	5.03	NUM
fcis-7690	79	14	m	m	NUM
fcis-7690	79	15	6.44	6.44	NUM
fcis-7690	79	16	+	+	NOUN
fcis-7690	79	17	se	se	X
fcis-7690	79	18	90.30	90.30	NUM
fcis-7690	79	19	64.51	64.51	NUM
fcis-7690	79	20	5.03	5.03	NUM
fcis-7690	79	21	m	m	NOUN
fcis-7690	79	22	6.44	6.44	NUM
fcis-7690	79	23	+	+	NUM
fcis-7690	79	24	varifocallos	varifocallos	X
fcis-7690	79	25	s	s	PART
fcis-7690	79	26	89.19	89.19	NUM
fcis-7690	79	27	64.67	64.67	NUM
fcis-7690	79	28	5.03	5.03	NUM
fcis-7690	79	29	m	m	NOUN
fcis-7690	79	30	6.44	6.44	NUM
fcis-7690	79	31	our	our	PRON
fcis-7690	79	32	89.53	89.53	NUM
fcis-7690	79	33	65.33	65.33	NUM
fcis-7690	79	34	5.03	5.03	NUM
fcis-7690	79	35	m	m	NUM
fcis-7690	79	36	6.44	6.44	NUM
fcis-7690	80	1	it	it	PRON
fcis-7690	80	2	can	can	AUX
fcis-7690	80	3	be	be	AUX
fcis-7690	80	4	seen	see	VERB
fcis-7690	80	5	from	from	ADP
fcis-7690	80	6	table	table	NOUN
fcis-7690	80	7	1	1	NUM
fcis-7690	80	8	that	that	PRON
fcis-7690	80	9	,	,	PUNCT
fcis-7690	80	10	on	on	ADP
fcis-7690	80	11	the	the	DET
fcis-7690	80	12	basis	basis	NOUN
fcis-7690	80	13	of	of	ADP
fcis-7690	80	14	yoloxtiny	yoloxtiny	NOUN
fcis-7690	80	15	,	,	PUNCT
fcis-7690	80	16	the	the	DET
fcis-7690	80	17	map	map	NOUN
fcis-7690	80	18	of	of	ADP
fcis-7690	80	19	experimental	experimental	ADJ
fcis-7690	80	20	results	result	NOUN
fcis-7690	80	21	(	(	PUNCT
fcis-7690	80	22	map@.5:.95	map@.5:.95	NOUN
fcis-7690	80	23	)	)	PUNCT
fcis-7690	80	24	is	be	AUX
fcis-7690	80	25	more	more	ADJ
fcis-7690	80	26	than	than	ADP
fcis-7690	80	27	1	1	NUM
fcis-7690	80	28	%	%	NOUN
fcis-7690	80	29	higher	high	ADJ
fcis-7690	80	30	than	than	ADP
fcis-7690	80	31	the	the	DET
fcis-7690	80	32	original	original	ADJ
fcis-7690	80	33	algorithm	algorithm	NOUN
fcis-7690	80	34	no	no	PRON
fcis-7690	80	35	matter	matter	ADV
fcis-7690	80	36	se	se	PROPN
fcis-7690	80	37	module	module	NOUN
fcis-7690	80	38	is	be	AUX
fcis-7690	80	39	added	add	VERB
fcis-7690	80	40	or	or	CCONJ
fcis-7690	80	41	the	the	DET
fcis-7690	80	42	optimization	optimization	NOUN
fcis-7690	80	43	loss	loss	NOUN
fcis-7690	80	44	function	function	NOUN
fcis-7690	80	45	is	be	AUX
fcis-7690	80	46	changed	change	VERB
fcis-7690	80	47	into	into	ADP
fcis-7690	80	48	varifocal	varifocal	ADJ
fcis-7690	80	49	loss	loss	NOUN
fcis-7690	80	50	.	.	PUNCT
fcis-7690	81	1	if	if	SCONJ
fcis-7690	81	2	se	se	PROPN
fcis-7690	81	3	module	module	NOUN
fcis-7690	81	4	is	be	AUX
fcis-7690	81	5	added	add	VERB
fcis-7690	81	6	at	at	ADP
fcis-7690	81	7	the	the	DET
fcis-7690	81	8	same	same	ADJ
fcis-7690	81	9	time	time	NOUN
fcis-7690	81	10	,	,	PUNCT
fcis-7690	81	11	when	when	SCONJ
fcis-7690	81	12	the	the	DET
fcis-7690	81	13	loss	loss	NOUN
fcis-7690	81	14	function	function	NOUN
fcis-7690	81	15	is	be	AUX
fcis-7690	81	16	changed	change	VERB
fcis-7690	81	17	into	into	ADP
fcis-7690	81	18	varifocal	varifocal	ADJ
fcis-7690	81	19	loss	loss	NOUN
fcis-7690	81	20	,	,	PUNCT
fcis-7690	81	21	map	map	NOUN
fcis-7690	81	22	(	(	PUNCT
fcis-7690	81	23	map@.5:.95	map@.5:.95	NOUN
fcis-7690	81	24	)	)	PUNCT
fcis-7690	81	25	increases	increase	NOUN
fcis-7690	81	26	by	by	ADP
fcis-7690	81	27	2.13	2.13	NUM
fcis-7690	81	28	%	%	NOUN
fcis-7690	81	29	,	,	PUNCT
fcis-7690	81	30	while	while	SCONJ
fcis-7690	81	31	the	the	DET
fcis-7690	81	32	number	number	NOUN
fcis-7690	81	33	of	of	ADP
fcis-7690	81	34	model	model	NOUN
fcis-7690	81	35	parameters	parameter	NOUN
fcis-7690	81	36	does	do	AUX
fcis-7690	81	37	not	not	PART
fcis-7690	81	38	increase	increase	VERB
fcis-7690	81	39	.	.	PUNCT
fcis-7690	82	1	it	it	PRON
fcis-7690	82	2	can	can	AUX
fcis-7690	82	3	be	be	AUX
fcis-7690	82	4	seen	see	VERB
fcis-7690	82	5	from	from	ADP
fcis-7690	82	6	the	the	DET
fcis-7690	82	7	comparison	comparison	NOUN
fcis-7690	82	8	experiment	experiment	NOUN
fcis-7690	82	9	in	in	ADP
fcis-7690	82	10	table	table	NOUN
fcis-7690	82	11	2	2	NUM
fcis-7690	82	12	that	that	SCONJ
fcis-7690	82	13	by	by	ADP
fcis-7690	82	14	comparing	compare	VERB
fcis-7690	82	15	se	se	PROPN
fcis-7690	82	16	module	module	NOUN
fcis-7690	82	17	with	with	ADP
fcis-7690	82	18	cbam	cbam	NOUN
fcis-7690	82	19	module	module	NOUN
fcis-7690	82	20	and	and	CCONJ
fcis-7690	82	21	focal	focal	ADJ
fcis-7690	82	22	loss	loss	NOUN
fcis-7690	82	23	with	with	ADP
fcis-7690	82	24	varifocal	varifocal	ADJ
fcis-7690	82	25	loss	loss	NOUN
fcis-7690	82	26	,	,	PUNCT
fcis-7690	82	27	it	it	PRON
fcis-7690	82	28	is	be	AUX
fcis-7690	82	29	proved	prove	VERB
fcis-7690	82	30	that	that	SCONJ
fcis-7690	82	31	se	se	PROPN
fcis-7690	82	32	module	module	NOUN
fcis-7690	82	33	and	and	CCONJ
fcis-7690	82	34	varifocal	varifocal	ADJ
fcis-7690	82	35	loss	loss	NOUN
fcis-7690	82	36	can	can	AUX
fcis-7690	82	37	significantly	significantly	ADV
fcis-7690	82	38	optimize	optimize	VERB
fcis-7690	82	39	the	the	DET
fcis-7690	82	40	performance	performance	NOUN
fcis-7690	82	41	of	of	ADP
fcis-7690	82	42	the	the	DET
fcis-7690	82	43	original	original	ADJ
fcis-7690	82	44	yolox	yolox	NOUN
fcis-7690	82	45	algorithm	algorithm	NOUN
fcis-7690	82	46	and	and	CCONJ
fcis-7690	82	47	improve	improve	VERB
fcis-7690	82	48	the	the	DET
fcis-7690	82	49	accuracy	accuracy	NOUN
fcis-7690	82	50	.	.	PUNCT
fcis-7690	83	1	table	table	NOUN
fcis-7690	83	2	2	2	NUM
fcis-7690	83	3	.	.	PUNCT
fcis-7690	83	4	comparison	comparison	NOUN
fcis-7690	83	5	experiment	experiment	NOUN
fcis-7690	83	6	map@.5	map@.5	NOUN
fcis-7690	83	7	map@.5:.95	map@.5:.95	NOUN
fcis-7690	83	8	yolox	yolox	NOUN
fcis-7690	83	9	-	-	PUNCT
fcis-7690	83	10	tiny+cbam	tiny+cbam	NOUN
fcis-7690	83	11	89.83	89.83	NUM
fcis-7690	83	12	63.03	63.03	NUM
fcis-7690	83	13	yolox	yolox	NOUN
fcis-7690	83	14	-	-	PUNCT
fcis-7690	83	15	tiny+se	tiny+se	NOUN
fcis-7690	83	16	90.30	90.30	NUM
fcis-7690	83	17	64.51	64.51	NUM
fcis-7690	83	18	yoloxtiny+focalloss	yoloxtiny+focalloss	PROPN
fcis-7690	83	19	89.19	89.19	NUM
fcis-7690	83	20	63.70	63.70	NUM
fcis-7690	83	21	yoloxtiny+varifocallos	yoloxtiny+varifocallo	NOUN
fcis-7690	83	22	89.89	89.89	NUM
fcis-7690	83	23	64.67	64.67	NUM
fcis-7690	83	24	4	4	NUM
fcis-7690	83	25	.	.	PUNCT
fcis-7690	83	26	epilogue	epilogue	NOUN
fcis-7690	83	27	therefore	therefore	ADV
fcis-7690	83	28	,	,	PUNCT
fcis-7690	83	29	an	an	DET
fcis-7690	83	30	improved	improved	ADJ
fcis-7690	83	31	algorithm	algorithm	NOUN
fcis-7690	83	32	based	base	VERB
fcis-7690	83	33	on	on	ADP
fcis-7690	83	34	yolox	yolox	NOUN
fcis-7690	83	35	is	be	AUX
fcis-7690	83	36	proposed	propose	VERB
fcis-7690	83	37	in	in	ADP
fcis-7690	83	38	this	this	DET
fcis-7690	83	39	paper	paper	NOUN
fcis-7690	83	40	,	,	PUNCT
fcis-7690	83	41	which	which	PRON
fcis-7690	83	42	introduces	introduce	VERB
fcis-7690	83	43	the	the	DET
fcis-7690	83	44	squeeze	squeeze	NOUN
fcis-7690	83	45	and	and	CCONJ
fcis-7690	83	46	excitation	excitation	NOUN
fcis-7690	83	47	module	module	NOUN
fcis-7690	83	48	and	and	CCONJ
fcis-7690	83	49	the	the	DET
fcis-7690	83	50	varifocal	varifocal	ADJ
fcis-7690	83	51	loss	loss	NOUN
fcis-7690	83	52	function	function	NOUN
fcis-7690	83	53	,	,	PUNCT
fcis-7690	83	54	and	and	CCONJ
fcis-7690	83	55	is	be	AUX
fcis-7690	83	56	experimentally	experimentally	ADV
fcis-7690	83	57	verified	verify	VERB
fcis-7690	83	58	on	on	ADP
fcis-7690	83	59	the	the	DET
fcis-7690	83	60	hard	hard	ADJ
fcis-7690	83	61	hat	hat	NOUN
fcis-7690	83	62	detection	detection	NOUN
fcis-7690	83	63	mission	mission	NOUN
fcis-7690	83	64	.	.	PUNCT
fcis-7690	84	1	the	the	DET
fcis-7690	84	2	experimental	experimental	ADJ
fcis-7690	84	3	results	result	NOUN
fcis-7690	84	4	show	show	VERB
fcis-7690	84	5	that	that	SCONJ
fcis-7690	84	6	the	the	DET
fcis-7690	84	7	introduction	introduction	NOUN
fcis-7690	84	8	of	of	ADP
fcis-7690	84	9	the	the	DET
fcis-7690	84	10	squeeze	squeeze	NOUN
fcis-7690	84	11	and	and	CCONJ
fcis-7690	84	12	excitation	excitation	NOUN
fcis-7690	84	13	module	module	NOUN
fcis-7690	84	14	to	to	PART
fcis-7690	84	15	focus	focus	VERB
fcis-7690	84	16	on	on	ADP
fcis-7690	84	17	the	the	DET
fcis-7690	84	18	helmet	helmet	NOUN
fcis-7690	84	19	characteristics	characteristic	NOUN
fcis-7690	84	20	and	and	CCONJ
fcis-7690	84	21	optimize	optimize	VERB
fcis-7690	84	22	the	the	DET
fcis-7690	84	23	varifocal	varifocal	ADJ
fcis-7690	84	24	loss	loss	NOUN
fcis-7690	84	25	function	function	NOUN
fcis-7690	84	26	can	can	AUX
fcis-7690	84	27	significantly	significantly	ADV
fcis-7690	84	28	improve	improve	VERB
fcis-7690	84	29	the	the	DET
fcis-7690	84	30	performance	performance	NOUN
fcis-7690	84	31	of	of	ADP
fcis-7690	84	32	the	the	DET
fcis-7690	84	33	helmet	helmet	NOUN
fcis-7690	84	34	detection	detection	NOUN
fcis-7690	84	35	algorithm	algorithm	NOUN
fcis-7690	84	36	.	.	PUNCT
fcis-7690	85	1	in	in	ADP
fcis-7690	85	2	the	the	DET
fcis-7690	85	3	future	future	NOUN
fcis-7690	85	4	,	,	PUNCT
fcis-7690	85	5	we	we	PRON
fcis-7690	85	6	will	will	AUX
fcis-7690	85	7	continue	continue	VERB
fcis-7690	85	8	to	to	PART
fcis-7690	85	9	further	far	ADV
fcis-7690	85	10	study	study	VERB
fcis-7690	85	11	the	the	DET
fcis-7690	85	12	target	target	NOUN
fcis-7690	85	13	detection	detection	NOUN
fcis-7690	85	14	technology	technology	NOUN
fcis-7690	85	15	and	and	CCONJ
fcis-7690	85	16	explore	explore	VERB
fcis-7690	85	17	a	a	DET
fcis-7690	85	18	more	more	ADV
fcis-7690	85	19	efficient	efficient	ADJ
fcis-7690	85	20	real	real	ADJ
fcis-7690	85	21	-	-	PUNCT
fcis-7690	85	22	time	time	NOUN
fcis-7690	85	23	helmet	helmet	NOUN
fcis-7690	85	24	detection	detection	NOUN
fcis-7690	85	25	algorithm	algorithm	NOUN
fcis-7690	85	26	.	.	PUNCT
fcis-7690	86	1	references	reference	NOUN
fcis-7690	86	2	[	[	X
fcis-7690	86	3	1	1	NUM
fcis-7690	86	4	]	]	X
fcis-7690	86	5	wang	wang	PROPN
fcis-7690	86	6	,	,	PUNCT
fcis-7690	86	7	y.	y.	PROPN
fcis-7690	86	8	,	,	PUNCT
fcis-7690	86	9	zhang	zhang	PROPN
fcis-7690	86	10	,	,	PUNCT
fcis-7690	86	11	d.	d.	PROPN
fcis-7690	86	12	,	,	PUNCT
fcis-7690	86	13	liu	liu	PROPN
fcis-7690	86	14	,	,	PUNCT
fcis-7690	86	15	s.	s.	PROPN
fcis-7690	86	16	,	,	PUNCT
fcis-7690	86	17	hou	hou	PROPN
fcis-7690	86	18	,	,	PUNCT
fcis-7690	86	19	q.	q.	PROPN
fcis-7690	86	20	,	,	PUNCT
fcis-7690	86	21	zhang	zhang	PROPN
fcis-7690	86	22	,	,	PUNCT
fcis-7690	86	23	c.	c.	PROPN
fcis-7690	86	24	,	,	PUNCT
fcis-7690	86	25	chen	chen	PROPN
fcis-7690	86	26	,	,	PUNCT
fcis-7690	86	27	b.	b.	PROPN
fcis-7690	86	28	,	,	PUNCT
fcis-7690	86	29	...	...	PUNCT
fcis-7690	86	30	&	&	CCONJ
fcis-7690	86	31	huang	huang	PROPN
fcis-7690	86	32	,	,	PUNCT
fcis-7690	86	33	f.	f.	PROPN
fcis-7690	86	34	(	(	PUNCT
fcis-7690	86	35	2021	2021	NUM
fcis-7690	86	36	)	)	PUNCT
fcis-7690	86	37	.	.	PUNCT
fcis-7690	87	1	yolox	yolox	NOUN
fcis-7690	87	2	:	:	PUNCT
fcis-7690	87	3	exceeding	exceed	VERB
fcis-7690	87	4	yolo	yolo	ADJ
fcis-7690	87	5	series	series	NOUN
fcis-7690	87	6	in	in	ADP
fcis-7690	87	7	2021	2021	NUM
fcis-7690	87	8	.	.	PUNCT
fcis-7690	88	1	arxiv	arxiv	PROPN
fcis-7690	88	2	preprint	preprint	NOUN
fcis-7690	88	3	arxiv:2107.08430	arxiv:2107.08430	NOUN
fcis-7690	88	4	[	[	X
fcis-7690	88	5	2	2	NUM
fcis-7690	88	6	]	]	X
fcis-7690	88	7	jie	jie	PROPN
fcis-7690	88	8	h	h	PROPN
fcis-7690	88	9	,	,	PUNCT
fcis-7690	88	10	li	li	PROPN
fcis-7690	88	11	s	s	PROPN
fcis-7690	88	12	,	,	PUNCT
fcis-7690	88	13	gang	gang	PROPN
fcis-7690	88	14	s	s	PART
fcis-7690	88	15	,	,	PUNCT
fcis-7690	88	16	et	et	PROPN
fcis-7690	88	17	al	al	PROPN
fcis-7690	88	18	.	.	PUNCT
fcis-7690	88	19	squeeze	squeeze	NOUN
fcis-7690	88	20	-	-	PUNCT
fcis-7690	88	21	and	and	CCONJ
fcis-7690	88	22	-	-	PUNCT
fcis-7690	88	23	excitation	excitation	NOUN
fcis-7690	88	24	networks[c]//	networks[c]//	PROPN
fcis-7690	88	25	ieee	ieee	NOUN
fcis-7690	88	26	.	.	PUNCT
fcis-7690	89	1	ieee	ieee	PROPN
fcis-7690	89	2	,	,	PUNCT
fcis-7690	89	3	2017	2017	NUM
fcis-7690	89	4	.	.	PUNCT
fcis-7690	90	1	[	[	X
fcis-7690	90	2	3	3	X
fcis-7690	90	3	]	]	X
fcis-7690	90	4	zhang	zhang	PROPN
fcis-7690	90	5	h	h	PROPN
fcis-7690	90	6	,	,	PUNCT
fcis-7690	90	7	wang	wang	PROPN
fcis-7690	90	8	y	y	PROPN
fcis-7690	90	9	,	,	PUNCT
fcis-7690	90	10	dayoub	dayoub	PROPN
fcis-7690	90	11	f	f	PROPN
fcis-7690	90	12	,	,	PUNCT
fcis-7690	90	13	et	et	PROPN
fcis-7690	90	14	al	al	PROPN
fcis-7690	90	15	.	.	PROPN
fcis-7690	90	16	varifocalnet	varifocalnet	PROPN
fcis-7690	90	17	:	:	PUNCT
fcis-7690	90	18	an	an	DET
fcis-7690	90	19	iouaware	iouaware	ADJ
fcis-7690	90	20	dense	dense	ADJ
fcis-7690	90	21	object	object	NOUN
fcis-7690	90	22	detector[j	detector[j	NOUN
fcis-7690	90	23	]	]	PUNCT
fcis-7690	90	24	.	.	PUNCT
fcis-7690	91	1	2020	2020	NUM
fcis-7690	91	2	.	.	PUNCT
fcis-7690	92	1	[	[	X
fcis-7690	92	2	4	4	NUM
fcis-7690	92	3	]	]	PUNCT
fcis-7690	92	4	irshick	irshick	PROPN
fcis-7690	92	5	ross	ross	PROPN
fcis-7690	92	6	,	,	PUNCT
fcis-7690	92	7	donahue	donahue	PROPN
fcis-7690	92	8	jeff	jeff	PROPN
fcis-7690	92	9	,	,	PUNCT
fcis-7690	92	10	darrell	darrell	PROPN
fcis-7690	92	11	trevor	trevor	PROPN
fcis-7690	92	12	,	,	PUNCT
fcis-7690	92	13	malik	malik	PROPN
fcis-7690	92	14	jitendra	jitendra	PROPN
fcis-7690	92	15	.	.	PUNCT
fcis-7690	92	16	regionbased	regionbase	VERB
fcis-7690	92	17	convolutional	convolutional	ADJ
fcis-7690	92	18	networks	network	NOUN
fcis-7690	92	19	for	for	ADP
fcis-7690	92	20	accurate	accurate	ADJ
fcis-7690	92	21	object	object	NOUN
fcis-7690	92	22	detection	detection	NOUN
fcis-7690	92	23	and	and	CCONJ
fcis-7690	92	24	segmentation	segmentation	NOUN
fcis-7690	92	25	.	.	PUNCT
fcis-7690	93	1	[	[	X
fcis-7690	93	2	j	j	X
fcis-7690	93	3	]	]	X
fcis-7690	93	4	.	.	PUNCT
fcis-7690	94	1	ieee	ieee	NOUN
fcis-7690	94	2	transactions	transaction	NOUN
fcis-7690	94	3	on	on	ADP
fcis-7690	94	4	pattern	pattern	NOUN
fcis-7690	94	5	analysis	analysis	NOUN
fcis-7690	94	6	and	and	CCONJ
fcis-7690	94	7	machine	machine	NOUN
fcis-7690	94	8	intelligence,2016,38(1	intelligence,2016,38(1	NOUN
fcis-7690	94	9	)	)	PUNCT
fcis-7690	94	10	.	.	PUNCT
fcis-7690	95	1	[	[	X
fcis-7690	95	2	5	5	NUM
fcis-7690	95	3	]	]	X
fcis-7690	95	4	redmon	redmon	PROPN
fcis-7690	95	5	,	,	PUNCT
fcis-7690	95	6	joseph	joseph	PROPN
fcis-7690	95	7	,	,	PUNCT
fcis-7690	95	8	et	et	PROPN
fcis-7690	95	9	al	al	PROPN
fcis-7690	95	10	.	.	PUNCT
fcis-7690	96	1	"	"	PUNCT
fcis-7690	96	2	you	you	PRON
fcis-7690	96	3	only	only	ADV
fcis-7690	96	4	look	look	VERB
fcis-7690	96	5	once	once	ADV
fcis-7690	96	6	:	:	PUNCT
fcis-7690	96	7	unified	unified	ADJ
fcis-7690	96	8	,	,	PUNCT
fcis-7690	96	9	real	real	ADJ
fcis-7690	96	10	-	-	PUNCT
fcis-7690	96	11	time	time	NOUN
fcis-7690	96	12	object	object	NOUN
fcis-7690	96	13	detection	detection	NOUN
fcis-7690	96	14	.	.	PUNCT
fcis-7690	96	15	"	"	PUNCT
fcis-7690	97	1	proceedings	proceeding	NOUN
fcis-7690	97	2	of	of	ADP
fcis-7690	97	3	the	the	DET
fcis-7690	97	4	ieee	ieee	NOUN
fcis-7690	97	5	conference	conference	NOUN
fcis-7690	97	6	on	on	ADP
fcis-7690	97	7	computer	computer	NOUN
fcis-7690	97	8	vision	vision	NOUN
fcis-7690	97	9	and	and	CCONJ
fcis-7690	97	10	pattern	pattern	NOUN
fcis-7690	97	11	recognition	recognition	NOUN
fcis-7690	97	12	.	.	PUNCT
fcis-7690	98	1	2016	2016	NUM
fcis-7690	98	2	.	.	PUNCT
fcis-7690	99	1	[	[	X
fcis-7690	99	2	6	6	NUM
fcis-7690	99	3	]	]	X
fcis-7690	99	4	liu	liu	PROPN
fcis-7690	99	5	,	,	PUNCT
fcis-7690	99	6	w.	w.	PROPN
fcis-7690	99	7	,	,	PUNCT
fcis-7690	99	8	anguelov	anguelov	PROPN
fcis-7690	99	9	,	,	PUNCT
fcis-7690	99	10	d.	d.	PROPN
fcis-7690	99	11	,	,	PUNCT
fcis-7690	99	12	erhan	erhan	PROPN
fcis-7690	99	13	,	,	PUNCT
fcis-7690	99	14	d.	d.	PROPN
fcis-7690	99	15	,	,	PUNCT
fcis-7690	99	16	szegedy	szegedy	PROPN
fcis-7690	99	17	,	,	PUNCT
fcis-7690	99	18	c.	c.	NOUN
fcis-7690	99	19	,	,	PUNCT
fcis-7690	99	20	reed	reed	PROPN
fcis-7690	99	21	,	,	PUNCT
fcis-7690	99	22	s.	s.	PROPN
fcis-7690	99	23	,	,	PUNCT
fcis-7690	99	24	fu	fu	PROPN
fcis-7690	99	25	,	,	PUNCT
fcis-7690	99	26	c.-y	c.-y	NOUN
fcis-7690	99	27	.	.	PUNCT
fcis-7690	99	28	,	,	PUNCT
fcis-7690	99	29	&	&	CCONJ
fcis-7690	99	30	berg	berg	PROPN
fcis-7690	99	31	,	,	PUNCT
fcis-7690	99	32	a.	a.	PROPN
fcis-7690	99	33	c.	c.	PROPN
fcis-7690	99	34	(	(	PUNCT
fcis-7690	99	35	2016	2016	NUM
fcis-7690	99	36	)	)	PUNCT
fcis-7690	99	37	.	.	PUNCT
fcis-7690	100	1	ssd	ssd	PROPN
fcis-7690	100	2	:	:	PUNCT
fcis-7690	100	3	single	single	ADJ
fcis-7690	100	4	shot	shot	NOUN
fcis-7690	100	5	multibox	multibox	NOUN
fcis-7690	100	6	detector	detector	NOUN
fcis-7690	100	7	.	.	PUNCT
fcis-7690	101	1	in	in	ADP
fcis-7690	101	2	european	european	ADJ
fcis-7690	101	3	conference	conference	PROPN
fcis-7690	101	4	on	on	ADP
fcis-7690	101	5	computer	computer	NOUN
fcis-7690	101	6	vision	vision	NOUN
fcis-7690	101	7	(	(	PUNCT
fcis-7690	101	8	pp	pp	ADJ
fcis-7690	101	9	.	.	PUNCT
fcis-7690	101	10	2137	2137	NUM
fcis-7690	101	11	)	)	PUNCT
fcis-7690	101	12	.	.	PUNCT
fcis-7690	102	1	springer	springer	NOUN
fcis-7690	102	2	.	.	PUNCT
fcis-7690	103	1	[	[	X
fcis-7690	103	2	7	7	X
fcis-7690	103	3	]	]	X
fcis-7690	103	4	law	law	NOUN
fcis-7690	103	5	h	h	NOUN
fcis-7690	103	6	,	,	PUNCT
fcis-7690	103	7	deng	deng	PROPN
fcis-7690	103	8	j	j	PROPN
fcis-7690	103	9	.	.	PUNCT
fcis-7690	104	1	cornernet	cornernet	PROPN
fcis-7690	104	2	:	:	PUNCT
fcis-7690	104	3	detecting	detect	VERB
fcis-7690	104	4	objects	object	NOUN
fcis-7690	104	5	as	as	ADP
fcis-7690	104	6	paired	pair	VERB
fcis-7690	104	7	keypoints[j	keypoints[j	NOUN
fcis-7690	104	8	]	]	PUNCT
fcis-7690	104	9	.	.	PUNCT
fcis-7690	105	1	international	international	ADJ
fcis-7690	105	2	journal	journal	PROPN
fcis-7690	105	3	of	of	ADP
fcis-7690	105	4	computer	computer	NOUN
fcis-7690	105	5	vision	vision	NOUN
fcis-7690	105	6	,	,	PUNCT
fcis-7690	105	7	2020	2020	NUM
fcis-7690	105	8	,	,	PUNCT
fcis-7690	105	9	128(3):642	128(3):642	NUM
fcis-7690	105	10	-	-	PUNCT
fcis-7690	105	11	656	656	NUM
fcis-7690	105	12	.	.	PUNCT
fcis-7690	106	1	[	[	X
fcis-7690	106	2	8	8	NUM
fcis-7690	106	3	]	]	X
fcis-7690	106	4	liu	liu	PROPN
fcis-7690	106	5	s	s	PROPN
fcis-7690	106	6	,	,	PUNCT
fcis-7690	106	7	qi	qi	PROPN
fcis-7690	106	8	l	l	NOUN
fcis-7690	106	9	,	,	PUNCT
fcis-7690	106	10	qin	qin	PROPN
fcis-7690	106	11	h	h	PROPN
fcis-7690	106	12	,	,	PUNCT
fcis-7690	106	13	et	et	PROPN
fcis-7690	106	14	al	al	PROPN
fcis-7690	106	15	.	.	PROPN
fcis-7690	106	16	path	path	PROPN
fcis-7690	106	17	aggregation	aggregation	NOUN
fcis-7690	106	18	network	network	NOUN
fcis-7690	106	19	for	for	ADP
fcis-7690	106	20	instance	instance	NOUN
fcis-7690	106	21	segmentation[c]//	segmentation[c]//	PROPN
fcis-7690	106	22	ieee	ieee	PROPN
fcis-7690	106	23	.	.	PUNCT
fcis-7690	106	24	ieee	ieee	PROPN
fcis-7690	106	25	,	,	PUNCT
fcis-7690	106	26	2018	2018	NUM
fcis-7690	106	27	.	.	PUNCT
fcis-7690	107	1	[	[	X
fcis-7690	107	2	9	9	NUM
fcis-7690	107	3	]	]	X
fcis-7690	107	4	huang	huang	PROPN
fcis-7690	107	5	l	l	PROPN
fcis-7690	107	6	,	,	PUNCT
fcis-7690	107	7	yang	yang	PROPN
fcis-7690	107	8	y	y	PROPN
fcis-7690	107	9	,	,	PUNCT
fcis-7690	107	10	deng	deng	PROPN
fcis-7690	107	11	y	y	PROPN
fcis-7690	107	12	,	,	PUNCT
fcis-7690	107	13	et	et	PROPN
fcis-7690	107	14	al	al	PROPN
fcis-7690	107	15	.	.	PROPN
fcis-7690	107	16	densebox	densebox	PROPN
fcis-7690	107	17	:	:	PUNCT
fcis-7690	107	18	unifying	unify	VERB
fcis-7690	107	19	landmark	landmark	NOUN
fcis-7690	107	20	localization	localization	NOUN
fcis-7690	107	21	with	with	ADP
fcis-7690	107	22	end	end	NOUN
fcis-7690	107	23	to	to	PART
fcis-7690	107	24	end	end	NOUN
fcis-7690	107	25	object	object	NOUN
fcis-7690	107	26	detection[j	detection[j	PROPN
fcis-7690	107	27	]	]	PUNCT
fcis-7690	107	28	.	.	PUNCT
fcis-7690	108	1	computer	computer	NOUN
fcis-7690	108	2	science	science	NOUN
fcis-7690	108	3	,	,	PUNCT
fcis-7690	108	4	2015	2015	NUM
fcis-7690	108	5	.	.	PUNCT
fcis-7690	109	1	[	[	X
fcis-7690	109	2	10	10	NUM
fcis-7690	109	3	]	]	X
fcis-7690	109	4	everingham	everingham	PROPN
fcis-7690	109	5	m	m	PROPN
fcis-7690	109	6	,	,	PUNCT
fcis-7690	109	7	winn	winn	PROPN
fcis-7690	109	8	j	j	PROPN
fcis-7690	109	9	.	.	PUNCT
fcis-7690	110	1	the	the	DET
fcis-7690	110	2	pascal	pascal	ADJ
fcis-7690	110	3	visual	visual	ADJ
fcis-7690	110	4	object	object	NOUN
fcis-7690	110	5	classes	class	NOUN
fcis-7690	110	6	challenge	challenge	VERB
fcis-7690	110	7	2010	2010	NUM
fcis-7690	110	8	(	(	PUNCT
fcis-7690	110	9	voc2010	voc2010	NOUN
fcis-7690	110	10	)	)	PUNCT
fcis-7690	110	11	development	development	NOUN
fcis-7690	110	12	kit	kit	NOUN
fcis-7690	110	13	contents	content	NOUN
fcis-7690	110	14	.	.	PUNCT
fcis-7690	111	1	springer	springer	NOUN
fcis-7690	111	2	-	-	PUNCT
fcis-7690	111	3	verlag	verlag	PROPN
fcis-7690	111	4	.	.	PUNCT