id	sid	tid	token	lemma	pos
fcis-13852	1	1	frontiers	frontier	NOUN
fcis-13852	1	2	in	in	ADP
fcis-13852	1	3	computing	computing	NOUN
fcis-13852	1	4	and	and	CCONJ
fcis-13852	1	5	intelligent	intelligent	ADJ
fcis-13852	1	6	systems	system	NOUN
fcis-13852	1	7	issn	issn	VERB
fcis-13852	1	8	:	:	PUNCT
fcis-13852	1	9	2832	2832	NUM
fcis-13852	1	10	-	-	SYM
fcis-13852	1	11	6024	6024	NUM
fcis-13852	1	12	|	|	NOUN
fcis-13852	1	13	vol	vol	NOUN
fcis-13852	1	14	.	.	PROPN
fcis-13852	2	1	5	5	NUM
fcis-13852	2	2	,	,	PUNCT
fcis-13852	2	3	no	no	INTJ
fcis-13852	2	4	.	.	NOUN
fcis-13852	2	5	3	3	NUM
fcis-13852	2	6	,	,	PUNCT
fcis-13852	3	1	2023	2023	NUM
fcis-13852	3	2	46	46	NUM
fcis-13852	3	3	object	object	NOUN
fcis-13852	3	4	detection	detection	NOUN
fcis-13852	3	5	of	of	ADP
fcis-13852	3	6	uav	uav	PROPN
fcis-13852	3	7	aerial	aerial	ADJ
fcis-13852	3	8	image	image	NOUN
fcis-13852	3	9	based	base	VERB
fcis-13852	3	10	on	on	ADP
fcis-13852	3	11	yolov8	yolov8	PROPN
fcis-13852	3	12	chen	chen	PROPN
fcis-13852	3	13	liu	liu	PROPN
fcis-13852	3	14	,	,	PUNCT
fcis-13852	3	15	fanrun	fanrun	PROPN
fcis-13852	3	16	meng	meng	PROPN
fcis-13852	3	17	,	,	PUNCT
fcis-13852	3	18	zhiren	zhiren	PROPN
fcis-13852	3	19	zhu	zhu	PROPN
fcis-13852	3	20	,	,	PUNCT
fcis-13852	3	21	liming	lime	VERB
fcis-13852	3	22	zhou	zhou	PROPN
fcis-13852	3	23	college	college	PROPN
fcis-13852	3	24	of	of	ADP
fcis-13852	3	25	electronic	electronic	ADJ
fcis-13852	3	26	engineering	engineering	NOUN
fcis-13852	3	27	,	,	PUNCT
fcis-13852	3	28	tianjin	tianjin	PROPN
fcis-13852	3	29	university	university	PROPN
fcis-13852	3	30	of	of	ADP
fcis-13852	3	31	technology	technology	NOUN
fcis-13852	3	32	and	and	CCONJ
fcis-13852	3	33	education	education	NOUN
fcis-13852	3	34	,	,	PUNCT
fcis-13852	3	35	tianjin	tianjin	PROPN
fcis-13852	3	36	300222	300222	NUM
fcis-13852	3	37	,	,	PUNCT
fcis-13852	3	38	china	china	PROPN
fcis-13852	3	39	abstract	abstract	NOUN
fcis-13852	3	40	:	:	PUNCT
fcis-13852	3	41	with	with	ADP
fcis-13852	3	42	the	the	DET
fcis-13852	3	43	development	development	NOUN
fcis-13852	3	44	of	of	ADP
fcis-13852	3	45	technology	technology	NOUN
fcis-13852	3	46	,	,	PUNCT
fcis-13852	3	47	unmanned	unmanned	ADJ
fcis-13852	3	48	aerial	aerial	ADJ
fcis-13852	3	49	vehicles	vehicle	NOUN
fcis-13852	3	50	(	(	PUNCT
fcis-13852	3	51	uavs	uavs	NOUN
fcis-13852	3	52	)	)	PUNCT
fcis-13852	3	53	have	have	AUX
fcis-13852	3	54	shed	shed	VERB
fcis-13852	3	55	their	their	PRON
fcis-13852	3	56	military	military	ADJ
fcis-13852	3	57	uses	use	NOUN
fcis-13852	3	58	and	and	CCONJ
fcis-13852	3	59	gradually	gradually	ADV
fcis-13852	3	60	expanded	expand	VERB
fcis-13852	3	61	to	to	ADP
fcis-13852	3	62	civilian	civilian	ADJ
fcis-13852	3	63	and	and	CCONJ
fcis-13852	3	64	commercial	commercial	ADJ
fcis-13852	3	65	fields	field	NOUN
fcis-13852	3	66	.	.	PUNCT
fcis-13852	4	1	with	with	ADP
fcis-13852	4	2	the	the	DET
fcis-13852	4	3	development	development	NOUN
fcis-13852	4	4	of	of	ADP
fcis-13852	4	5	drone	drone	NOUN
fcis-13852	4	6	technology	technology	NOUN
fcis-13852	4	7	,	,	PUNCT
fcis-13852	4	8	object	object	VERB
fcis-13852	4	9	detection	detection	NOUN
fcis-13852	4	10	technology	technology	NOUN
fcis-13852	4	11	based	base	VERB
fcis-13852	4	12	on	on	ADP
fcis-13852	4	13	deep	deep	ADJ
fcis-13852	4	14	learning	learning	NOUN
fcis-13852	4	15	has	have	AUX
fcis-13852	4	16	become	become	VERB
fcis-13852	4	17	an	an	DET
fcis-13852	4	18	important	important	ADJ
fcis-13852	4	19	research	research	NOUN
fcis-13852	4	20	topic	topic	NOUN
fcis-13852	4	21	in	in	ADP
fcis-13852	4	22	the	the	DET
fcis-13852	4	23	field	field	NOUN
fcis-13852	4	24	of	of	ADP
fcis-13852	4	25	drone	drone	NOUN
fcis-13852	4	26	applications	application	NOUN
fcis-13852	4	27	.	.	PUNCT
fcis-13852	5	1	apply	apply	VERB
fcis-13852	5	2	object	object	NOUN
fcis-13852	5	3	detection	detection	NOUN
fcis-13852	5	4	technology	technology	NOUN
fcis-13852	5	5	to	to	ADP
fcis-13852	5	6	unmanned	unmanned	ADJ
fcis-13852	5	7	aerial	aerial	ADJ
fcis-13852	5	8	vehicles	vehicle	NOUN
fcis-13852	5	9	to	to	PART
fcis-13852	5	10	achieve	achieve	VERB
fcis-13852	5	11	object	object	NOUN
fcis-13852	5	12	detection	detection	NOUN
fcis-13852	5	13	and	and	CCONJ
fcis-13852	5	14	recognition	recognition	NOUN
fcis-13852	5	15	of	of	ADP
fcis-13852	5	16	ground	ground	NOUN
fcis-13852	5	17	scenes	scene	NOUN
fcis-13852	5	18	from	from	ADP
fcis-13852	5	19	an	an	DET
fcis-13852	5	20	aerial	aerial	ADJ
fcis-13852	5	21	perspective	perspective	NOUN
fcis-13852	5	22	.	.	PUNCT
fcis-13852	6	1	however	however	ADV
fcis-13852	6	2	,	,	PUNCT
fcis-13852	6	3	in	in	ADP
fcis-13852	6	4	aerial	aerial	ADJ
fcis-13852	6	5	images	image	NOUN
fcis-13852	6	6	taken	take	VERB
fcis-13852	6	7	by	by	ADP
fcis-13852	6	8	drones	drone	NOUN
fcis-13852	6	9	,	,	PUNCT
fcis-13852	6	10	the	the	DET
fcis-13852	6	11	detection	detection	NOUN
fcis-13852	6	12	objects	object	NOUN
fcis-13852	6	13	are	be	AUX
fcis-13852	6	14	mostly	mostly	ADV
fcis-13852	6	15	small	small	ADJ
fcis-13852	6	16	targets	target	NOUN
fcis-13852	6	17	,	,	PUNCT
fcis-13852	6	18	and	and	CCONJ
fcis-13852	6	19	the	the	DET
fcis-13852	6	20	target	target	NOUN
fcis-13852	6	21	scale	scale	NOUN
fcis-13852	6	22	changes	change	NOUN
fcis-13852	6	23	greatly	greatly	ADV
fcis-13852	6	24	due	due	ADP
fcis-13852	6	25	to	to	ADP
fcis-13852	6	26	the	the	DET
fcis-13852	6	27	influence	influence	NOUN
fcis-13852	6	28	of	of	ADP
fcis-13852	6	29	aerial	aerial	ADJ
fcis-13852	6	30	perspective	perspective	NOUN
fcis-13852	6	31	;	;	PUNCT
fcis-13852	6	32	the	the	DET
fcis-13852	6	33	image	image	NOUN
fcis-13852	6	34	background	background	NOUN
fcis-13852	6	35	is	be	AUX
fcis-13852	6	36	complex	complex	ADJ
fcis-13852	6	37	,	,	PUNCT
fcis-13852	6	38	and	and	CCONJ
fcis-13852	6	39	the	the	DET
fcis-13852	6	40	target	target	NOUN
fcis-13852	6	41	object	object	NOUN
fcis-13852	6	42	is	be	AUX
fcis-13852	6	43	easily	easily	ADV
fcis-13852	6	44	occluded	occlude	VERB
fcis-13852	6	45	.	.	PUNCT
fcis-13852	7	1	it	it	PRON
fcis-13852	7	2	has	have	AUX
fcis-13852	7	3	brought	bring	VERB
fcis-13852	7	4	many	many	ADJ
fcis-13852	7	5	challenges	challenge	NOUN
fcis-13852	7	6	to	to	ADP
fcis-13852	7	7	the	the	DET
fcis-13852	7	8	target	target	NOUN
fcis-13852	7	9	detection	detection	NOUN
fcis-13852	7	10	of	of	ADP
fcis-13852	7	11	unmanned	unmanned	ADJ
fcis-13852	7	12	aerial	aerial	ADJ
fcis-13852	7	13	vehicles	vehicle	NOUN
fcis-13852	7	14	.	.	PUNCT
fcis-13852	8	1	conventional	conventional	ADJ
fcis-13852	8	2	object	object	NOUN
fcis-13852	8	3	detection	detection	NOUN
fcis-13852	8	4	algorithms	algorithm	NOUN
fcis-13852	8	5	can	can	AUX
fcis-13852	8	6	not	not	PART
fcis-13852	8	7	guarantee	guarantee	VERB
fcis-13852	8	8	detection	detection	NOUN
fcis-13852	8	9	accuracy	accuracy	NOUN
fcis-13852	8	10	when	when	SCONJ
fcis-13852	8	11	applied	apply	VERB
fcis-13852	8	12	to	to	ADP
fcis-13852	8	13	drones	drone	NOUN
fcis-13852	8	14	,	,	PUNCT
fcis-13852	8	15	and	and	CCONJ
fcis-13852	8	16	optimizing	optimize	VERB
fcis-13852	8	17	the	the	DET
fcis-13852	8	18	target	target	NOUN
fcis-13852	8	19	detection	detection	NOUN
fcis-13852	8	20	performance	performance	NOUN
fcis-13852	8	21	of	of	ADP
fcis-13852	8	22	drones	drone	NOUN
fcis-13852	8	23	has	have	AUX
fcis-13852	8	24	become	become	VERB
fcis-13852	8	25	an	an	DET
fcis-13852	8	26	important	important	ADJ
fcis-13852	8	27	research	research	NOUN
fcis-13852	8	28	topic	topic	NOUN
fcis-13852	8	29	in	in	ADP
fcis-13852	8	30	the	the	DET
fcis-13852	8	31	field	field	NOUN
fcis-13852	8	32	of	of	ADP
fcis-13852	8	33	drone	drone	NOUN
fcis-13852	8	34	applications	application	NOUN
fcis-13852	8	35	.	.	PUNCT
fcis-13852	9	1	we	we	PRON
fcis-13852	9	2	improve	improve	VERB
fcis-13852	9	3	the	the	DET
fcis-13852	9	4	wiouv3	wiouv3	NOUN
fcis-13852	9	5	loss	loss	NOUN
fcis-13852	9	6	function	function	NOUN
fcis-13852	9	7	on	on	ADP
fcis-13852	9	8	the	the	DET
fcis-13852	9	9	basis	basis	NOUN
fcis-13852	9	10	of	of	ADP
fcis-13852	9	11	yolov8s	yolov8	NOUN
fcis-13852	9	12	to	to	PART
fcis-13852	9	13	reduce	reduce	VERB
fcis-13852	9	14	regression	regression	NOUN
fcis-13852	9	15	localization	localization	NOUN
fcis-13852	9	16	loss	loss	NOUN
fcis-13852	9	17	during	during	ADP
fcis-13852	9	18	training	training	NOUN
fcis-13852	9	19	and	and	CCONJ
fcis-13852	9	20	improve	improve	VERB
fcis-13852	9	21	the	the	DET
fcis-13852	9	22	regression	regression	NOUN
fcis-13852	9	23	accuracy	accuracy	NOUN
fcis-13852	9	24	of	of	ADP
fcis-13852	9	25	the	the	DET
fcis-13852	9	26	model	model	NOUN
fcis-13852	9	27	.	.	PUNCT
fcis-13852	10	1	the	the	DET
fcis-13852	10	2	experimental	experimental	ADJ
fcis-13852	10	3	results	result	NOUN
fcis-13852	10	4	indicate	indicate	VERB
fcis-13852	10	5	that	that	SCONJ
fcis-13852	10	6	the	the	DET
fcis-13852	10	7	improved	improved	ADJ
fcis-13852	10	8	model	model	NOUN
fcis-13852	10	9	map@0.5	map@0.5	NOUN
fcis-13852	10	10	it	it	PRON
fcis-13852	10	11	increased	increase	VERB
fcis-13852	10	12	by	by	ADP
fcis-13852	10	13	0.6	0.6	NUM
fcis-13852	10	14	percentage	percentage	NOUN
fcis-13852	10	15	points	point	NOUN
fcis-13852	10	16	to	to	ADP
fcis-13852	10	17	40.7	40.7	NUM
fcis-13852	10	18	%	%	NOUN
fcis-13852	10	19	.	.	PUNCT
fcis-13852	11	1	keywords	keyword	NOUN
fcis-13852	11	2	:	:	PUNCT
fcis-13852	12	1	yolov8	yolov8	PROPN
fcis-13852	12	2	;	;	PUNCT
fcis-13852	12	3	uav	uav	PROPN
fcis-13852	12	4	;	;	PUNCT
fcis-13852	12	5	wiou	wiou	NOUN
fcis-13852	12	6	.	.	PUNCT
fcis-13852	13	1	1	1	X
fcis-13852	13	2	.	.	X
fcis-13852	13	3	introduction	introduction	NOUN
fcis-13852	13	4	with	with	ADP
fcis-13852	13	5	the	the	DET
fcis-13852	13	6	development	development	NOUN
fcis-13852	13	7	of	of	ADP
fcis-13852	13	8	uav	uav	PROPN
fcis-13852	13	9	technology	technology	PROPN
fcis-13852	13	10	,	,	PUNCT
fcis-13852	13	11	object	object	VERB
fcis-13852	13	12	detection	detection	NOUN
fcis-13852	13	13	technology	technology	NOUN
fcis-13852	13	14	based	base	VERB
fcis-13852	13	15	on	on	ADP
fcis-13852	13	16	deep	deep	ADJ
fcis-13852	13	17	learning	learning	NOUN
fcis-13852	13	18	has	have	AUX
fcis-13852	13	19	become	become	VERB
fcis-13852	13	20	the	the	DET
fcis-13852	13	21	application	application	NOUN
fcis-13852	13	22	field	field	NOUN
fcis-13852	13	23	of	of	ADP
fcis-13852	13	24	uav	uav	PROPN
fcis-13852	13	25	.	.	PUNCT
fcis-13852	14	1	the	the	DET
fcis-13852	14	2	important	important	ADJ
fcis-13852	14	3	research	research	NOUN
fcis-13852	14	4	content	content	NOUN
fcis-13852	14	5	.	.	PUNCT
fcis-13852	15	1	the	the	DET
fcis-13852	15	2	traditional	traditional	ADJ
fcis-13852	15	3	target	target	NOUN
fcis-13852	15	4	detection	detection	NOUN
fcis-13852	15	5	algorithm	algorithm	NOUN
fcis-13852	15	6	has	have	VERB
fcis-13852	15	7	low	low	ADJ
fcis-13852	15	8	precision	precision	NOUN
fcis-13852	15	9	,	,	PUNCT
fcis-13852	15	10	poor	poor	ADJ
fcis-13852	15	11	detection	detection	NOUN
fcis-13852	15	12	efficiency	efficiency	NOUN
fcis-13852	15	13	,	,	PUNCT
fcis-13852	15	14	and	and	CCONJ
fcis-13852	15	15	insufficient	insufficient	ADJ
fcis-13852	15	16	generalization	generalization	NOUN
fcis-13852	15	17	and	and	CCONJ
fcis-13852	15	18	robustness	robustness	NOUN
fcis-13852	15	19	.	.	PUNCT
fcis-13852	16	1	with	with	ADP
fcis-13852	16	2	the	the	DET
fcis-13852	16	3	rise	rise	NOUN
fcis-13852	16	4	of	of	ADP
fcis-13852	16	5	convolutional	convolutional	ADJ
fcis-13852	16	6	neural	neural	ADJ
fcis-13852	16	7	networks	network	NOUN
fcis-13852	16	8	,	,	PUNCT
fcis-13852	16	9	object	object	VERB
fcis-13852	16	10	detection	detection	NOUN
fcis-13852	16	11	algorithms	algorithm	NOUN
fcis-13852	16	12	based	base	VERB
fcis-13852	16	13	on	on	ADP
fcis-13852	16	14	deep	deep	ADJ
fcis-13852	16	15	learning	learning	NOUN
fcis-13852	16	16	have	have	AUX
fcis-13852	16	17	gradually	gradually	ADV
fcis-13852	16	18	replaced	replace	VERB
fcis-13852	16	19	traditional	traditional	ADJ
fcis-13852	16	20	object	object	NOUN
fcis-13852	16	21	detection	detection	NOUN
fcis-13852	16	22	algorithms	algorithm	NOUN
fcis-13852	16	23	.	.	PUNCT
fcis-13852	17	1	currently	currently	ADV
fcis-13852	17	2	,	,	PUNCT
fcis-13852	17	3	target	target	VERB
fcis-13852	17	4	detection	detection	NOUN
fcis-13852	17	5	algorithms	algorithm	NOUN
fcis-13852	17	6	based	base	VERB
fcis-13852	17	7	on	on	ADP
fcis-13852	17	8	deep	deep	ADJ
fcis-13852	17	9	learning	learning	NOUN
fcis-13852	17	10	are	be	AUX
fcis-13852	17	11	mainly	mainly	ADV
fcis-13852	17	12	divided	divide	VERB
fcis-13852	17	13	into	into	ADP
fcis-13852	17	14	two	two	NUM
fcis-13852	17	15	-	-	PUNCT
fcis-13852	17	16	stage	stage	NOUN
fcis-13852	17	17	model	model	NOUN
fcis-13852	17	18	represented	represent	VERB
fcis-13852	17	19	by	by	ADP
fcis-13852	17	20	faster	fast	ADJ
fcis-13852	17	21	-	-	PUNCT
fcis-13852	17	22	rcnn	rcnn	NOUN
fcis-13852	18	1	[	[	X
fcis-13852	18	2	1	1	NUM
fcis-13852	18	3	]	]	PUNCT
fcis-13852	18	4	and	and	CCONJ
fcis-13852	18	5	single	single	ADJ
fcis-13852	18	6	-	-	PUNCT
fcis-13852	18	7	stage	stage	NOUN
fcis-13852	18	8	model	model	NOUN
fcis-13852	18	9	represented	represent	VERB
fcis-13852	18	10	by	by	ADP
fcis-13852	18	11	yolo	yolo	ADJ
fcis-13852	18	12	series	series	NOUN
fcis-13852	18	13	and	and	CCONJ
fcis-13852	18	14	ssd	ssd	NOUN
fcis-13852	19	1	[	[	X
fcis-13852	19	2	2	2	NUM
fcis-13852	19	3	]	]	PUNCT
fcis-13852	19	4	.	.	PUNCT
fcis-13852	20	1	since	since	SCONJ
fcis-13852	20	2	yolo	yolo	PRON
fcis-13852	20	3	[	[	X
fcis-13852	20	4	3	3	NUM
fcis-13852	20	5	]	]	X
fcis-13852	20	6	algorithm	algorithm	NOUN
fcis-13852	20	7	was	be	AUX
fcis-13852	20	8	first	first	ADV
fcis-13852	20	9	proposed	propose	VERB
fcis-13852	20	10	,	,	PUNCT
fcis-13852	20	11	it	it	PRON
fcis-13852	20	12	has	have	AUX
fcis-13852	20	13	been	be	AUX
fcis-13852	20	14	widely	widely	ADV
fcis-13852	20	15	used	use	VERB
fcis-13852	20	16	in	in	ADP
fcis-13852	20	17	target	target	NOUN
fcis-13852	20	18	detection	detection	NOUN
fcis-13852	20	19	tasks	task	NOUN
fcis-13852	20	20	in	in	ADP
fcis-13852	20	21	various	various	ADJ
fcis-13852	20	22	scenarios	scenario	NOUN
fcis-13852	20	23	due	due	ADP
fcis-13852	20	24	to	to	ADP
fcis-13852	20	25	its	its	PRON
fcis-13852	20	26	requirement	requirement	NOUN
fcis-13852	20	27	of	of	ADP
fcis-13852	20	28	fast	fast	ADJ
fcis-13852	20	29	detection	detection	NOUN
fcis-13852	20	30	speed	speed	NOUN
fcis-13852	20	31	.	.	PUNCT
fcis-13852	21	1	however	however	ADV
fcis-13852	21	2	,	,	PUNCT
fcis-13852	21	3	the	the	DET
fcis-13852	21	4	detection	detection	NOUN
fcis-13852	21	5	accuracy	accuracy	NOUN
fcis-13852	21	6	of	of	ADP
fcis-13852	21	7	small	small	ADJ
fcis-13852	21	8	targets	target	NOUN
fcis-13852	21	9	needs	need	VERB
fcis-13852	21	10	to	to	PART
fcis-13852	21	11	be	be	AUX
fcis-13852	21	12	improved	improve	VERB
fcis-13852	21	13	.	.	PUNCT
fcis-13852	22	1	the	the	DET
fcis-13852	22	2	development	development	NOUN
fcis-13852	22	3	of	of	ADP
fcis-13852	22	4	uav	uav	PROPN
fcis-13852	22	5	technology	technology	PROPN
fcis-13852	22	6	is	be	AUX
fcis-13852	22	7	becoming	become	VERB
fcis-13852	22	8	more	more	ADV
fcis-13852	22	9	and	and	CCONJ
fcis-13852	22	10	more	more	ADV
fcis-13852	22	11	mature	mature	ADJ
fcis-13852	22	12	,	,	PUNCT
fcis-13852	22	13	and	and	CCONJ
fcis-13852	22	14	more	more	ADJ
fcis-13852	22	15	and	and	CCONJ
fcis-13852	22	16	more	more	ADJ
fcis-13852	22	17	scholars	scholar	NOUN
fcis-13852	22	18	pay	pay	VERB
fcis-13852	22	19	attention	attention	NOUN
fcis-13852	22	20	to	to	ADP
fcis-13852	22	21	the	the	DET
fcis-13852	22	22	target	target	NOUN
fcis-13852	22	23	detection	detection	NOUN
fcis-13852	22	24	of	of	ADP
fcis-13852	22	25	uav	uav	PROPN
fcis-13852	22	26	aerial	aerial	ADJ
fcis-13852	22	27	images	image	NOUN
fcis-13852	22	28	to	to	PART
fcis-13852	22	29	further	far	ADV
fcis-13852	22	30	improve	improve	VERB
fcis-13852	22	31	the	the	DET
fcis-13852	22	32	visual	visual	ADJ
fcis-13852	22	33	perception	perception	NOUN
fcis-13852	22	34	ability	ability	NOUN
fcis-13852	22	35	of	of	ADP
fcis-13852	22	36	uav	uav	PROPN
fcis-13852	22	37	.	.	PUNCT
fcis-13852	23	1	let	let	VERB
fcis-13852	23	2	drones	drone	NOUN
fcis-13852	23	3	play	play	VERB
fcis-13852	23	4	an	an	DET
fcis-13852	23	5	irreplaceable	irreplaceable	ADJ
fcis-13852	23	6	role	role	NOUN
fcis-13852	23	7	in	in	ADP
fcis-13852	23	8	rescue	rescue	NOUN
fcis-13852	23	9	and	and	CCONJ
fcis-13852	23	10	disaster	disaster	NOUN
fcis-13852	23	11	relief	relief	NOUN
fcis-13852	23	12	,	,	PUNCT
fcis-13852	23	13	police	police	NOUN
fcis-13852	23	14	reconnaissance	reconnaissance	NOUN
fcis-13852	23	15	,	,	PUNCT
fcis-13852	23	16	agricultural	agricultural	ADJ
fcis-13852	23	17	development	development	NOUN
fcis-13852	23	18	,	,	PUNCT
fcis-13852	23	19	traffic	traffic	NOUN
fcis-13852	23	20	monitoring	monitoring	NOUN
fcis-13852	23	21	and	and	CCONJ
fcis-13852	23	22	other	other	ADJ
fcis-13852	23	23	fields	field	NOUN
fcis-13852	23	24	.	.	PUNCT
fcis-13852	24	1	we	we	PRON
fcis-13852	24	2	have	have	AUX
fcis-13852	24	3	designed	design	VERB
fcis-13852	24	4	an	an	DET
fcis-13852	24	5	improved	improve	VERB
fcis-13852	24	6	unmanned	unmanned	ADJ
fcis-13852	24	7	aerial	aerial	ADJ
fcis-13852	24	8	vehicle	vehicle	NOUN
fcis-13852	24	9	aerial	aerial	ADJ
fcis-13852	24	10	photography	photography	NOUN
fcis-13852	24	11	small	small	ADJ
fcis-13852	24	12	target	target	NOUN
fcis-13852	24	13	detection	detection	NOUN
fcis-13852	24	14	algorithm	algorithm	NOUN
fcis-13852	24	15	based	base	VERB
fcis-13852	24	16	on	on	ADP
fcis-13852	24	17	yolov8s	yolov8	NOUN
fcis-13852	24	18	,	,	PUNCT
fcis-13852	24	19	replacing	replace	VERB
fcis-13852	24	20	the	the	DET
fcis-13852	24	21	original	original	ADJ
fcis-13852	24	22	model	model	NOUN
fcis-13852	24	23	's	's	PART
fcis-13852	24	24	ciou	ciou	NOUN
fcis-13852	24	25	[	[	X
fcis-13852	24	26	4	4	NUM
fcis-13852	24	27	]	]	PUNCT
fcis-13852	24	28	with	with	ADP
fcis-13852	24	29	wiouv3[5	wiouv3[5	PROPN
fcis-13852	24	30	]	]	PUNCT
fcis-13852	24	31	,	,	PUNCT
fcis-13852	24	32	reducing	reduce	VERB
fcis-13852	24	33	regression	regression	NOUN
fcis-13852	24	34	localization	localization	NOUN
fcis-13852	24	35	losses	loss	NOUN
fcis-13852	24	36	during	during	ADP
fcis-13852	24	37	training	training	NOUN
fcis-13852	24	38	and	and	CCONJ
fcis-13852	24	39	improving	improve	VERB
fcis-13852	24	40	the	the	DET
fcis-13852	24	41	regression	regression	NOUN
fcis-13852	24	42	accuracy	accuracy	NOUN
fcis-13852	24	43	of	of	ADP
fcis-13852	24	44	the	the	DET
fcis-13852	24	45	model	model	NOUN
fcis-13852	24	46	.	.	PUNCT
fcis-13852	25	1	2	2	X
fcis-13852	25	2	.	.	X
fcis-13852	25	3	yolov8	yolov8	NOUN
fcis-13852	25	4	object	object	PROPN
fcis-13852	25	5	detection	detection	NOUN
fcis-13852	25	6	algorithm	algorithm	NOUN
fcis-13852	25	7	the	the	DET
fcis-13852	25	8	network	network	NOUN
fcis-13852	25	9	structure	structure	NOUN
fcis-13852	25	10	of	of	ADP
fcis-13852	25	11	yolov8	yolov8	NOUN
fcis-13852	25	12	is	be	AUX
fcis-13852	25	13	mainly	mainly	ADV
fcis-13852	25	14	composed	compose	VERB
fcis-13852	25	15	of	of	ADP
fcis-13852	25	16	four	four	NUM
fcis-13852	25	17	parts	part	NOUN
fcis-13852	25	18	:	:	PUNCT
fcis-13852	25	19	input	input	NOUN
fcis-13852	25	20	layer	layer	NOUN
fcis-13852	25	21	,	,	PUNCT
fcis-13852	25	22	backbone	backbone	NOUN
fcis-13852	25	23	layer	layer	NOUN
fcis-13852	25	24	,	,	PUNCT
fcis-13852	25	25	neck	neck	NOUN
fcis-13852	25	26	layer	layer	NOUN
fcis-13852	25	27	and	and	CCONJ
fcis-13852	25	28	output	output	NOUN
fcis-13852	25	29	detection	detection	NOUN
fcis-13852	25	30	head	head	NOUN
fcis-13852	25	31	layer	layer	NOUN
fcis-13852	25	32	.	.	PUNCT
fcis-13852	26	1	the	the	DET
fcis-13852	26	2	network	network	NOUN
fcis-13852	26	3	structure	structure	NOUN
fcis-13852	26	4	of	of	ADP
fcis-13852	26	5	yolov8	yolov8	NOUN
fcis-13852	26	6	is	be	AUX
fcis-13852	26	7	shown	show	VERB
fcis-13852	26	8	as	as	SCONJ
fcis-13852	26	9	follows	follow	VERB
fcis-13852	26	10	:	:	PUNCT
fcis-13852	27	1	2.1	2.1	NUM
fcis-13852	27	2	.	.	PUNCT
fcis-13852	27	3	input	input	NOUN
fcis-13852	27	4	layer	layer	NOUN
fcis-13852	27	5	the	the	DET
fcis-13852	27	6	input	input	NOUN
fcis-13852	27	7	layer	layer	NOUN
fcis-13852	27	8	is	be	AUX
fcis-13852	27	9	mainly	mainly	ADV
fcis-13852	27	10	responsible	responsible	ADJ
fcis-13852	27	11	for	for	ADP
fcis-13852	27	12	data	data	NOUN
fcis-13852	27	13	preprocessing	preprocessing	NOUN
fcis-13852	27	14	of	of	ADP
fcis-13852	27	15	the	the	DET
fcis-13852	27	16	input	input	NOUN
fcis-13852	27	17	images	image	NOUN
fcis-13852	27	18	.	.	PUNCT
fcis-13852	28	1	the	the	DET
fcis-13852	28	2	input	input	NOUN
fcis-13852	28	3	layer	layer	NOUN
fcis-13852	28	4	of	of	ADP
fcis-13852	28	5	yolov8	yolov8	NOUN
fcis-13852	28	6	inherits	inherit	VERB
fcis-13852	28	7	the	the	DET
fcis-13852	28	8	mosaic	mosaic	ADJ
fcis-13852	28	9	data	datum	NOUN
fcis-13852	28	10	enhancement	enhancement	NOUN
fcis-13852	28	11	strategy	strategy	NOUN
fcis-13852	28	12	of	of	ADP
fcis-13852	28	13	yolov4[6	yolov4[6	PROPN
fcis-13852	28	14	]	]	PUNCT
fcis-13852	28	15	and	and	CCONJ
fcis-13852	28	16	yolov5	yolov5	NOUN
fcis-13852	28	17	algorithms	algorithm	NOUN
fcis-13852	28	18	.	.	PUNCT
fcis-13852	29	1	the	the	DET
fcis-13852	29	2	advantages	advantage	NOUN
fcis-13852	29	3	of	of	ADP
fcis-13852	29	4	using	use	VERB
fcis-13852	29	5	mosaic	mosaic	ADJ
fcis-13852	29	6	data	datum	NOUN
fcis-13852	29	7	enhancement	enhancement	NOUN
fcis-13852	29	8	strategy	strategy	NOUN
fcis-13852	29	9	are	be	AUX
fcis-13852	29	10	as	as	SCONJ
fcis-13852	29	11	follows	follow	VERB
fcis-13852	29	12	:	:	PUNCT
fcis-13852	29	13	on	on	ADP
fcis-13852	29	14	the	the	DET
fcis-13852	29	15	one	one	NUM
fcis-13852	29	16	hand	hand	NOUN
fcis-13852	29	17	,	,	PUNCT
fcis-13852	29	18	it	it	PRON
fcis-13852	29	19	can	can	AUX
fcis-13852	29	20	enrich	enrich	VERB
fcis-13852	29	21	the	the	DET
fcis-13852	29	22	data	datum	NOUN
fcis-13852	29	23	set	set	VERB
fcis-13852	29	24	by	by	ADP
fcis-13852	29	25	randomly	randomly	ADV
fcis-13852	29	26	selecting	select	VERB
fcis-13852	29	27	4	4	NUM
fcis-13852	29	28	images	image	NOUN
fcis-13852	29	29	for	for	ADP
fcis-13852	29	30	scaling	scaling	NOUN
fcis-13852	29	31	and	and	CCONJ
fcis-13852	29	32	then	then	ADV
fcis-13852	29	33	randomly	randomly	ADV
fcis-13852	29	34	distributing	distribute	VERB
fcis-13852	29	35	and	and	CCONJ
fcis-13852	29	36	splicing	splicing	NOUN
fcis-13852	29	37	,	,	PUNCT
fcis-13852	29	38	which	which	PRON
fcis-13852	29	39	greatly	greatly	ADV
fcis-13852	29	40	enrichis	enrichis	VERB
fcis-13852	29	41	the	the	DET
fcis-13852	29	42	detection	detection	NOUN
fcis-13852	29	43	data	datum	NOUN
fcis-13852	29	44	set	set	VERB
fcis-13852	29	45	and	and	CCONJ
fcis-13852	29	46	effectively	effectively	ADV
fcis-13852	29	47	improves	improve	VERB
fcis-13852	29	48	the	the	DET
fcis-13852	29	49	robustness	robustness	NOUN
fcis-13852	29	50	of	of	ADP
fcis-13852	29	51	the	the	DET
fcis-13852	29	52	algorithm	algorithm	NOUN
fcis-13852	29	53	;	;	PUNCT
fcis-13852	29	54	on	on	ADP
fcis-13852	29	55	the	the	DET
fcis-13852	29	56	other	other	ADJ
fcis-13852	29	57	hand	hand	NOUN
fcis-13852	29	58	,	,	PUNCT
fcis-13852	29	59	it	it	PRON
fcis-13852	29	60	can	can	AUX
fcis-13852	29	61	reduce	reduce	VERB
fcis-13852	29	62	the	the	DET
fcis-13852	29	63	gpu	gpu	NOUN
fcis-13852	29	64	storage	storage	NOUN
fcis-13852	29	65	space	space	NOUN
fcis-13852	29	66	occupied	occupy	VERB
fcis-13852	29	67	in	in	ADP
fcis-13852	29	68	the	the	DET
fcis-13852	29	69	training	training	NOUN
fcis-13852	29	70	process	process	NOUN
fcis-13852	29	71	.	.	PUNCT
fcis-13852	30	1	however	however	ADV
fcis-13852	30	2	,	,	PUNCT
fcis-13852	30	3	if	if	SCONJ
fcis-13852	30	4	the	the	DET
fcis-13852	30	5	entire	entire	ADJ
fcis-13852	30	6	training	training	NOUN
fcis-13852	30	7	process	process	NOUN
fcis-13852	30	8	is	be	AUX
fcis-13852	30	9	turned	turn	VERB
fcis-13852	30	10	on	on	ADP
fcis-13852	30	11	,	,	PUNCT
fcis-13852	30	12	the	the	DET
fcis-13852	30	13	final	final	ADJ
fcis-13852	30	14	training	training	NOUN
fcis-13852	30	15	result	result	NOUN
fcis-13852	30	16	will	will	AUX
fcis-13852	30	17	be	be	AUX
fcis-13852	30	18	reduced	reduce	VERB
fcis-13852	30	19	,	,	PUNCT
fcis-13852	30	20	so	so	CCONJ
fcis-13852	30	21	in	in	ADP
fcis-13852	30	22	yolov8	yolov8	NOUN
fcis-13852	30	23	,	,	PUNCT
fcis-13852	30	24	mosaic	mosaic	ADJ
fcis-13852	30	25	data	datum	NOUN
fcis-13852	30	26	enhancement	enhancement	NOUN
fcis-13852	30	27	is	be	AUX
fcis-13852	30	28	turned	turn	VERB
fcis-13852	30	29	off	off	ADP
fcis-13852	30	30	for	for	ADP
fcis-13852	30	31	the	the	DET
fcis-13852	30	32	last	last	ADJ
fcis-13852	30	33	10	10	NUM
fcis-13852	30	34	epochs	epoch	NOUN
fcis-13852	30	35	to	to	PART
fcis-13852	30	36	achieve	achieve	VERB
fcis-13852	30	37	better	well	ADJ
fcis-13852	30	38	training	training	NOUN
fcis-13852	30	39	results	result	NOUN
fcis-13852	30	40	.	.	PUNCT
fcis-13852	31	1	2.2	2.2	NUM
fcis-13852	31	2	.	.	PUNCT
fcis-13852	31	3	backbone	backbone	NOUN
fcis-13852	31	4	layer	layer	NOUN
fcis-13852	31	5	yolov8	yolov8	NOUN
fcis-13852	31	6	uses	use	VERB
fcis-13852	31	7	cspdaknet53	cspdaknet53	NOUN
fcis-13852	31	8	as	as	SCONJ
fcis-13852	31	9	the	the	DET
fcis-13852	31	10	backbone	backbone	NOUN
fcis-13852	31	11	network	network	NOUN
fcis-13852	31	12	to	to	PART
fcis-13852	31	13	downsample	downsample	VERB
fcis-13852	31	14	the	the	DET
fcis-13852	31	15	input	input	NOUN
fcis-13852	31	16	feature	feature	NOUN
fcis-13852	31	17	images	image	NOUN
fcis-13852	31	18	five	five	NUM
fcis-13852	31	19	times	time	NOUN
fcis-13852	31	20	and	and	CCONJ
fcis-13852	31	21	obtain	obtain	VERB
fcis-13852	31	22	five	five	NUM
fcis-13852	31	23	feature	feature	NOUN
fcis-13852	31	24	maps	map	NOUN
fcis-13852	31	25	of	of	ADP
fcis-13852	31	26	different	different	ADJ
fcis-13852	31	27	proportions	proportion	NOUN
fcis-13852	31	28	in	in	ADP
fcis-13852	31	29	turn	turn	NOUN
fcis-13852	31	30	.	.	PUNCT
fcis-13852	32	1	the	the	DET
fcis-13852	32	2	backbone	backbone	NOUN
fcis-13852	32	3	network	network	NOUN
fcis-13852	32	4	is	be	AUX
fcis-13852	32	5	composed	compose	VERB
fcis-13852	32	6	of	of	ADP
fcis-13852	32	7	cbs	cbs	PROPN
fcis-13852	32	8	module	module	NOUN
fcis-13852	32	9	,	,	PUNCT
fcis-13852	32	10	c2f	c2f	NOUN
fcis-13852	32	11	module	module	NOUN
fcis-13852	32	12	and	and	CCONJ
fcis-13852	32	13	sppf	sppf	ADJ
fcis-13852	32	14	module	module	NOUN
fcis-13852	32	15	.	.	PUNCT
fcis-13852	33	1	(	(	PUNCT
fcis-13852	33	2	1	1	X
fcis-13852	33	3	)	)	PUNCT
fcis-13852	33	4	cbs	cbs	PROPN
fcis-13852	33	5	module	module	NOUN
fcis-13852	33	6	:	:	PUNCT
fcis-13852	34	1	cbs	cbs	PROPN
fcis-13852	34	2	module	module	NOUN
fcis-13852	34	3	includes	include	VERB
fcis-13852	34	4	convolution	convolution	NOUN
fcis-13852	34	5	operation	operation	NOUN
fcis-13852	34	6	(	(	PUNCT
fcis-13852	34	7	conv	conv	ADJ
fcis-13852	34	8	)	)	PUNCT
fcis-13852	34	9	,	,	PUNCT
fcis-13852	34	10	batch	batch	VERB
fcis-13852	34	11	normalization	normalization	NOUN
fcis-13852	34	12	(	(	PUNCT
fcis-13852	34	13	bn	bn	NOUN
fcis-13852	34	14	)	)	PUNCT
fcis-13852	34	15	and	and	CCONJ
fcis-13852	34	16	activation	activation	NOUN
fcis-13852	34	17	function	function	NOUN
fcis-13852	34	18	(	(	PUNCT
fcis-13852	34	19	silu	silu	NOUN
fcis-13852	34	20	)	)	PUNCT
fcis-13852	34	21	,	,	PUNCT
fcis-13852	34	22	which	which	PRON
fcis-13852	34	23	is	be	AUX
fcis-13852	34	24	improved	improve	VERB
fcis-13852	34	25	from	from	ADP
fcis-13852	34	26	cbl	cbl	NOUN
fcis-13852	34	27	module	module	NOUN
fcis-13852	34	28	.	.	PUNCT
fcis-13852	35	1	compared	compare	VERB
fcis-13852	35	2	with	with	ADP
fcis-13852	35	3	the	the	DET
fcis-13852	35	4	leakyrelu	leakyrelu	ADJ
fcis-13852	35	5	activation	activation	NOUN
fcis-13852	35	6	function	function	NOUN
fcis-13852	35	7	in	in	ADP
fcis-13852	35	8	the	the	DET
fcis-13852	35	9	cbl	cbl	NOUN
fcis-13852	35	10	module	module	NOUN
fcis-13852	35	11	,	,	PUNCT
fcis-13852	35	12	the	the	DET
fcis-13852	35	13	smooth	smooth	ADJ
fcis-13852	35	14	and	and	CCONJ
fcis-13852	35	15	non	non	ADJ
fcis-13852	35	16	-	-	ADJ
fcis-13852	35	17	monotonic	monotonic	ADJ
fcis-13852	35	18	characteristics	characteristic	NOUN
fcis-13852	35	19	of	of	ADP
fcis-13852	35	20	the	the	DET
fcis-13852	35	21	silu	silu	ADJ
fcis-13852	35	22	function	function	NOUN
fcis-13852	35	23	can	can	AUX
fcis-13852	35	24	make	make	VERB
fcis-13852	35	25	the	the	DET
fcis-13852	35	26	model	model	NOUN
fcis-13852	35	27	achieve	achieve	VERB
fcis-13852	35	28	better	well	ADJ
fcis-13852	35	29	results	result	NOUN
fcis-13852	35	30	during	during	ADP
fcis-13852	35	31	deep	deep	ADJ
fcis-13852	35	32	learning	learning	NOUN
fcis-13852	35	33	training	training	NOUN
fcis-13852	35	34	.	.	PUNCT
fcis-13852	36	1	(	(	PUNCT
fcis-13852	36	2	2	2	X
fcis-13852	36	3	)	)	PUNCT
fcis-13852	36	4	c2f	c2f	NOUN
fcis-13852	36	5	module	module	NOUN
fcis-13852	36	6	:	:	PUNCT
fcis-13852	37	1	yolov8	yolov8	NOUN
fcis-13852	37	2	proposed	propose	VERB
fcis-13852	37	3	a	a	DET
fcis-13852	37	4	new	new	ADJ
fcis-13852	37	5	module	module	NOUN
fcis-13852	37	6	c2f	c2f	NOUN
fcis-13852	37	7	module	module	NOUN
fcis-13852	37	8	to	to	PART
fcis-13852	37	9	replace	replace	VERB
fcis-13852	37	10	c3	c3	NOUN
fcis-13852	37	11	module	module	NOUN
fcis-13852	37	12	in	in	ADP
fcis-13852	37	13	the	the	DET
fcis-13852	37	14	original	original	ADJ
fcis-13852	37	15	yolov5	yolov5	NOUN
fcis-13852	37	16	network	network	NOUN
fcis-13852	37	17	architecture	architecture	NOUN
fcis-13852	37	18	.	.	PUNCT
fcis-13852	38	1	c2f	c2f	PROPN
fcis-13852	38	2	combines	combine	VERB
fcis-13852	38	3	the	the	DET
fcis-13852	38	4	idea	idea	NOUN
fcis-13852	38	5	of	of	ADP
fcis-13852	38	6	c3	c3	PROPN
fcis-13852	38	7	module	module	NOUN
fcis-13852	38	8	and	and	CCONJ
fcis-13852	38	9	elan	elan	NOUN
fcis-13852	38	10	module	module	NOUN
fcis-13852	38	11	,	,	PUNCT
fcis-13852	38	12	and	and	CCONJ
fcis-13852	38	13	adopts	adopt	VERB
fcis-13852	38	14	gradient	gradient	ADJ
fcis-13852	38	15	shunt	shunt	NOUN
fcis-13852	38	16	connection	connection	NOUN
fcis-13852	38	17	to	to	PART
fcis-13852	38	18	optimize	optimize	VERB
fcis-13852	38	19	the	the	DET
fcis-13852	38	20	module	module	NOUN
fcis-13852	38	21	structure	structure	NOUN
fcis-13852	38	22	,	,	PUNCT
fcis-13852	38	23	which	which	PRON
fcis-13852	38	24	enriches	enrich	VERB
fcis-13852	38	25	the	the	DET
fcis-13852	38	26	information	information	NOUN
fcis-13852	38	27	flow	flow	NOUN
fcis-13852	38	28	of	of	ADP
fcis-13852	38	29	the	the	DET
fcis-13852	38	30	feature	feature	NOUN
fcis-13852	38	31	extraction	extraction	NOUN
fcis-13852	38	32	network	network	NOUN
fcis-13852	38	33	while	while	SCONJ
fcis-13852	38	34	maintaining	maintain	VERB
fcis-13852	38	35	lightweight	lightweight	NOUN
fcis-13852	38	36	,	,	PUNCT
fcis-13852	38	37	and	and	CCONJ
fcis-13852	38	38	can	can	AUX
fcis-13852	38	39	effectively	effectively	ADV
fcis-13852	38	40	improve	improve	VERB
fcis-13852	38	41	the	the	DET
fcis-13852	38	42	overall	overall	ADJ
fcis-13852	38	43	detection	detection	NOUN
fcis-13852	38	44	performance	performance	NOUN
fcis-13852	38	45	of	of	ADP
fcis-13852	38	46	the	the	DET
fcis-13852	38	47	algorithm	algorithm	NOUN
fcis-13852	38	48	.	.	PUNCT
fcis-13852	39	1	the	the	DET
fcis-13852	39	2	structure	structure	NOUN
fcis-13852	39	3	of	of	ADP
fcis-13852	39	4	c2f	c2f	PROPN
fcis-13852	39	5	is	be	AUX
fcis-13852	39	6	shown	show	VERB
fcis-13852	39	7	as	as	SCONJ
fcis-13852	39	8	follows	follow	VERB
fcis-13852	39	9	:	:	PUNCT
fcis-13852	39	10	(	(	PUNCT
fcis-13852	39	11	3	3	X
fcis-13852	39	12	)	)	PUNCT
fcis-13852	39	13	sppf	sppf	ADJ
fcis-13852	39	14	module	module	NOUN
fcis-13852	39	15	:	:	PUNCT
fcis-13852	39	16	the	the	DET
fcis-13852	39	17	spatial	spatial	ADJ
fcis-13852	39	18	pyramid	pyramid	NOUN
fcis-13852	39	19	pooling	pool	VERB
fcis-13852	39	20	fast	fast	ADJ
fcis-13852	39	21	(	(	PUNCT
fcis-13852	39	22	sppf	sppf	ADJ
fcis-13852	39	23	)	)	PUNCT
fcis-13852	39	24	structure	structure	NOUN
fcis-13852	39	25	used	use	VERB
fcis-13852	39	26	in	in	ADP
fcis-13852	39	27	yolov8	yolov8	NOUN
fcis-13852	39	28	is	be	AUX
fcis-13852	39	29	optimized	optimize	VERB
fcis-13852	39	30	on	on	ADP
fcis-13852	39	31	the	the	DET
fcis-13852	39	32	basis	basis	NOUN
fcis-13852	39	33	of	of	ADP
fcis-13852	39	34	the	the	DET
fcis-13852	39	35	original	original	ADJ
fcis-13852	39	36	spp	spp	NOUN
fcis-13852	39	37	[	[	X
fcis-13852	39	38	7	7	NUM
fcis-13852	39	39	]	]	PUNCT
fcis-13852	39	40	structure	structure	NOUN
fcis-13852	39	41	.	.	PUNCT
fcis-13852	40	1	the	the	DET
fcis-13852	40	2	sppf	sppf	ADJ
fcis-13852	40	3	structure	structure	NOUN
fcis-13852	40	4	uses	use	VERB
fcis-13852	40	5	three	three	NUM
fcis-13852	40	6	5×5	5×5	NUM
fcis-13852	40	7	convolution	convolution	NOUN
fcis-13852	40	8	nuclei	nucleus	NOUN
fcis-13852	40	9	to	to	PART
fcis-13852	40	10	replace	replace	VERB
fcis-13852	40	11	the	the	DET
fcis-13852	40	12	13×13	13×13	NUM
fcis-13852	40	13	,	,	PUNCT
fcis-13852	40	14	9×9	9×9	NUM
fcis-13852	40	15	,	,	PUNCT
fcis-13852	40	16	5×5	5×5	NUM
fcis-13852	40	17	and	and	CCONJ
fcis-13852	40	18	1×1	1×1	NUM
fcis-13852	40	19	47	47	NUM
fcis-13852	40	20	convolution	convolution	NOUN
fcis-13852	40	21	nuclei	nucleus	NOUN
fcis-13852	40	22	in	in	ADP
fcis-13852	40	23	the	the	DET
fcis-13852	40	24	original	original	ADJ
fcis-13852	40	25	spp	spp	NOUN
fcis-13852	40	26	structure	structure	NOUN
fcis-13852	40	27	.	.	PUNCT
fcis-13852	41	1	by	by	ADP
fcis-13852	41	2	using	use	VERB
fcis-13852	41	3	multiple	multiple	ADJ
fcis-13852	41	4	small	small	ADJ
fcis-13852	41	5	convolution	convolution	NOUN
fcis-13852	41	6	nuclei	nucleus	NOUN
fcis-13852	41	7	in	in	ADP
fcis-13852	41	8	series	series	NOUN
fcis-13852	41	9	,	,	PUNCT
fcis-13852	41	10	the	the	DET
fcis-13852	41	11	calculation	calculation	NOUN
fcis-13852	41	12	amount	amount	NOUN
fcis-13852	41	13	of	of	ADP
fcis-13852	41	14	the	the	DET
fcis-13852	41	15	model	model	NOUN
fcis-13852	41	16	is	be	AUX
fcis-13852	41	17	reduced	reduce	VERB
fcis-13852	41	18	,	,	PUNCT
fcis-13852	41	19	the	the	DET
fcis-13852	41	20	detection	detection	NOUN
fcis-13852	41	21	rate	rate	NOUN
fcis-13852	41	22	is	be	AUX
fcis-13852	41	23	improved	improve	VERB
fcis-13852	41	24	,	,	PUNCT
fcis-13852	41	25	and	and	CCONJ
fcis-13852	41	26	the	the	DET
fcis-13852	41	27	detection	detection	NOUN
fcis-13852	41	28	accuracy	accuracy	NOUN
fcis-13852	41	29	is	be	AUX
fcis-13852	41	30	still	still	ADV
fcis-13852	41	31	close	close	ADJ
fcis-13852	41	32	to	to	ADP
fcis-13852	41	33	that	that	PRON
fcis-13852	41	34	of	of	ADP
fcis-13852	41	35	the	the	DET
fcis-13852	41	36	original	original	ADJ
fcis-13852	41	37	structure	structure	NOUN
fcis-13852	41	38	.	.	PUNCT
fcis-13852	42	1	the	the	DET
fcis-13852	42	2	structure	structure	NOUN
fcis-13852	42	3	diagram	diagram	NOUN
fcis-13852	42	4	of	of	ADP
fcis-13852	42	5	sppf	sppf	ADJ
fcis-13852	42	6	module	module	NOUN
fcis-13852	42	7	is	be	AUX
fcis-13852	42	8	shown	show	VERB
fcis-13852	42	9	as	as	SCONJ
fcis-13852	42	10	follows	follow	VERB
fcis-13852	42	11	:	:	PUNCT
fcis-13852	42	12	2.3	2.3	NUM
fcis-13852	42	13	.	.	PUNCT
fcis-13852	42	14	neck	neck	NOUN
fcis-13852	42	15	layer	layer	NOUN
fcis-13852	42	16	the	the	DET
fcis-13852	42	17	neck	neck	NOUN
fcis-13852	42	18	layer	layer	NOUN
fcis-13852	42	19	of	of	ADP
fcis-13852	42	20	yolov8	yolov8	NOUN
fcis-13852	42	21	still	still	ADV
fcis-13852	42	22	adopts	adopt	VERB
fcis-13852	42	23	the	the	DET
fcis-13852	42	24	panet	panet	NOUN
fcis-13852	42	25	structure	structure	NOUN
fcis-13852	42	26	,	,	PUNCT
fcis-13852	42	27	which	which	PRON
fcis-13852	42	28	is	be	AUX
fcis-13852	42	29	composed	compose	VERB
fcis-13852	42	30	of	of	ADP
fcis-13852	42	31	feature	feature	NOUN
fcis-13852	42	32	pyramid	pyramid	NOUN
fcis-13852	42	33	network	network	NOUN
fcis-13852	42	34	(	(	PUNCT
fcis-13852	42	35	fpn)[8	fpn)[8	PROPN
fcis-13852	42	36	]	]	PUNCT
fcis-13852	42	37	and	and	CCONJ
fcis-13852	42	38	path	path	NOUN
fcis-13852	42	39	aggregation	aggregation	NOUN
fcis-13852	42	40	network	network	NOUN
fcis-13852	42	41	(	(	PUNCT
fcis-13852	42	42	pan)[9].a	pan)[9].a	NOUN
fcis-13852	42	43	top	top	ADJ
fcis-13852	42	44	-	-	PUNCT
fcis-13852	42	45	down	down	NOUN
fcis-13852	42	46	and	and	CCONJ
fcis-13852	42	47	bottom	bottom	ADJ
fcis-13852	42	48	-	-	PUNCT
fcis-13852	42	49	up	up	ADP
fcis-13852	42	50	network	network	NOUN
fcis-13852	42	51	structure	structure	NOUN
fcis-13852	42	52	is	be	AUX
fcis-13852	42	53	constructed	construct	VERB
fcis-13852	42	54	,	,	PUNCT
fcis-13852	42	55	and	and	CCONJ
fcis-13852	42	56	the	the	DET
fcis-13852	42	57	shallow	shallow	ADJ
fcis-13852	42	58	location	location	NOUN
fcis-13852	42	59	information	information	NOUN
fcis-13852	42	60	and	and	CCONJ
fcis-13852	42	61	deep	deep	ADJ
fcis-13852	42	62	semantic	semantic	ADJ
fcis-13852	42	63	information	information	NOUN
fcis-13852	42	64	are	be	AUX
fcis-13852	42	65	effectively	effectively	ADV
fcis-13852	42	66	complemented	complement	VERB
fcis-13852	42	67	by	by	ADP
fcis-13852	42	68	feature	feature	NOUN
fcis-13852	42	69	fusion	fusion	NOUN
fcis-13852	42	70	,	,	PUNCT
fcis-13852	42	71	and	and	CCONJ
fcis-13852	42	72	the	the	DET
fcis-13852	42	73	integrity	integrity	NOUN
fcis-13852	42	74	of	of	ADP
fcis-13852	42	75	feature	feature	NOUN
fcis-13852	42	76	information	information	NOUN
fcis-13852	42	77	is	be	AUX
fcis-13852	42	78	preserved	preserve	VERB
fcis-13852	42	79	.	.	PUNCT
fcis-13852	43	1	2.4	2.4	NUM
fcis-13852	43	2	.	.	PUNCT
fcis-13852	43	3	head	head	NOUN
fcis-13852	43	4	layer	layer	NOUN
fcis-13852	43	5	(	(	PUNCT
fcis-13852	43	6	1	1	X
fcis-13852	43	7	)	)	PUNCT
fcis-13852	43	8	decoupling	decouple	VERB
fcis-13852	43	9	detection	detection	NOUN
fcis-13852	43	10	head	head	NOUN
fcis-13852	43	11	:	:	PUNCT
fcis-13852	43	12	yolov8	yolov8	PROPN
fcis-13852	43	13	's	's	PART
fcis-13852	43	14	detection	detection	NOUN
fcis-13852	43	15	layer	layer	NOUN
fcis-13852	43	16	uses	use	VERB
fcis-13852	43	17	the	the	DET
fcis-13852	43	18	decoupage	decoupage	NOUN
fcis-13852	43	19	detection	detection	NOUN
fcis-13852	43	20	head	head	NOUN
fcis-13852	43	21	structure	structure	NOUN
fcis-13852	43	22	,	,	PUNCT
fcis-13852	43	23	uses	use	VERB
fcis-13852	43	24	two	two	NUM
fcis-13852	43	25	separate	separate	ADJ
fcis-13852	43	26	branches	branch	NOUN
fcis-13852	43	27	for	for	ADP
fcis-13852	43	28	object	object	NOUN
fcis-13852	43	29	classification	classification	NOUN
fcis-13852	43	30	and	and	CCONJ
fcis-13852	43	31	predictive	predictive	ADJ
fcis-13852	43	32	bounding	bounding	NOUN
fcis-13852	43	33	box	box	NOUN
fcis-13852	43	34	regression	regression	NOUN
fcis-13852	43	35	,	,	PUNCT
fcis-13852	43	36	and	and	CCONJ
fcis-13852	43	37	uses	use	VERB
fcis-13852	43	38	different	different	ADJ
fcis-13852	43	39	loss	loss	NOUN
fcis-13852	43	40	functions	function	NOUN
fcis-13852	43	41	for	for	ADP
fcis-13852	43	42	both	both	DET
fcis-13852	43	43	types	type	NOUN
fcis-13852	43	44	of	of	ADP
fcis-13852	43	45	tasks	task	NOUN
fcis-13852	43	46	.	.	PUNCT
fcis-13852	44	1	on	on	ADP
fcis-13852	44	2	the	the	DET
fcis-13852	44	3	one	one	NUM
fcis-13852	44	4	hand	hand	NOUN
fcis-13852	44	5	,	,	PUNCT
fcis-13852	44	6	binary	binary	PROPN
fcis-13852	44	7	cross	cross	PROPN
fcis-13852	44	8	entropy	entropy	PROPN
fcis-13852	44	9	loss	loss	PROPN
fcis-13852	44	10	(	(	PUNCT
fcis-13852	44	11	bce	bce	PROPN
fcis-13852	44	12	)	)	PUNCT
fcis-13852	44	13	is	be	AUX
fcis-13852	44	14	used	use	VERB
fcis-13852	44	15	in	in	ADP
fcis-13852	44	16	classification	classification	NOUN
fcis-13852	44	17	tasks	task	NOUN
fcis-13852	44	18	;	;	PUNCT
fcis-13852	44	19	on	on	ADP
fcis-13852	44	20	the	the	DET
fcis-13852	44	21	other	other	ADJ
fcis-13852	44	22	hand	hand	NOUN
fcis-13852	44	23	,	,	PUNCT
fcis-13852	44	24	in	in	ADP
fcis-13852	44	25	the	the	DET
fcis-13852	44	26	predictive	predictive	ADJ
fcis-13852	44	27	bounding	bounding	NOUN
fcis-13852	44	28	box	box	NOUN
fcis-13852	44	29	regression	regression	NOUN
fcis-13852	44	30	task	task	NOUN
fcis-13852	44	31	,	,	PUNCT
fcis-13852	44	32	distribution	distribution	NOUN
fcis-13852	44	33	focal	focal	ADJ
fcis-13852	44	34	loss	loss	NOUN
fcis-13852	44	35	(	(	PUNCT
fcis-13852	44	36	dfl	dfl	PROPN
fcis-13852	44	37	)	)	PUNCT
fcis-13852	44	38	and	and	CCONJ
fcis-13852	44	39	ciou	ciou	NOUN
fcis-13852	44	40	are	be	AUX
fcis-13852	44	41	used	use	VERB
fcis-13852	44	42	.	.	PUNCT
fcis-13852	45	1	the	the	DET
fcis-13852	45	2	decoupled	decouple	VERB
fcis-13852	45	3	head	head	NOUN
fcis-13852	45	4	structure	structure	NOUN
fcis-13852	45	5	can	can	AUX
fcis-13852	45	6	improve	improve	VERB
fcis-13852	45	7	the	the	DET
fcis-13852	45	8	detection	detection	NOUN
fcis-13852	45	9	accuracy	accuracy	NOUN
fcis-13852	45	10	and	and	CCONJ
fcis-13852	45	11	speed	speed	NOUN
fcis-13852	45	12	up	up	ADP
fcis-13852	45	13	the	the	DET
fcis-13852	45	14	model	model	NOUN
fcis-13852	45	15	convergence	convergence	NOUN
fcis-13852	45	16	.	.	PUNCT
fcis-13852	46	1	(	(	PUNCT
fcis-13852	46	2	2	2	X
fcis-13852	46	3	)	)	PUNCT
fcis-13852	46	4	anchor	anchor	NOUN
fcis-13852	46	5	free	free	ADJ
fcis-13852	46	6	:	:	PUNCT
fcis-13852	46	7	the	the	DET
fcis-13852	46	8	traditional	traditional	ADJ
fcis-13852	46	9	anchor	anchor	NOUN
fcis-13852	46	10	based	base	VERB
fcis-13852	46	11	method	method	NOUN
fcis-13852	46	12	relies	rely	VERB
fcis-13852	46	13	on	on	ADP
fcis-13852	46	14	the	the	DET
fcis-13852	46	15	hand	hand	NOUN
fcis-13852	46	16	-	-	PUNCT
fcis-13852	46	17	designed	design	VERB
fcis-13852	46	18	anchor	anchor	NOUN
fcis-13852	46	19	frame	frame	NOUN
fcis-13852	46	20	.	.	PUNCT
fcis-13852	47	1	the	the	DET
fcis-13852	47	2	size	size	NOUN
fcis-13852	47	3	and	and	CCONJ
fcis-13852	47	4	aspect	aspect	NOUN
fcis-13852	47	5	ratio	ratio	NOUN
fcis-13852	47	6	of	of	ADP
fcis-13852	47	7	the	the	DET
fcis-13852	47	8	anchor	anchor	NOUN
fcis-13852	47	9	frame	frame	NOUN
fcis-13852	47	10	should	should	AUX
fcis-13852	47	11	be	be	AUX
fcis-13852	47	12	as	as	ADV
fcis-13852	47	13	close	close	ADJ
fcis-13852	47	14	to	to	ADP
fcis-13852	47	15	the	the	DET
fcis-13852	47	16	real	real	ADJ
fcis-13852	47	17	target	target	NOUN
fcis-13852	47	18	as	as	ADP
fcis-13852	47	19	possible	possible	ADJ
fcis-13852	47	20	,	,	PUNCT
fcis-13852	47	21	and	and	CCONJ
fcis-13852	47	22	its	its	PRON
fcis-13852	47	23	universality	universality	NOUN
fcis-13852	47	24	is	be	AUX
fcis-13852	47	25	poor	poor	ADJ
fcis-13852	47	26	for	for	ADP
fcis-13852	47	27	different	different	ADJ
fcis-13852	47	28	data	datum	NOUN
fcis-13852	47	29	sets	set	NOUN
fcis-13852	47	30	with	with	ADP
fcis-13852	47	31	big	big	ADJ
fcis-13852	47	32	difference	difference	NOUN
fcis-13852	47	33	in	in	ADP
fcis-13852	47	34	target	target	NOUN
fcis-13852	47	35	size	size	NOUN
fcis-13852	47	36	.	.	PUNCT
fcis-13852	48	1	a	a	DET
fcis-13852	48	2	large	large	ADJ
fcis-13852	48	3	number	number	NOUN
fcis-13852	48	4	of	of	ADP
fcis-13852	48	5	anchor	anchor	NOUN
fcis-13852	48	6	frames	frame	NOUN
fcis-13852	48	7	generated	generate	VERB
fcis-13852	48	8	during	during	ADP
fcis-13852	48	9	detection	detection	NOUN
fcis-13852	48	10	will	will	AUX
fcis-13852	48	11	not	not	PART
fcis-13852	48	12	only	only	ADV
fcis-13852	48	13	increase	increase	VERB
fcis-13852	48	14	the	the	DET
fcis-13852	48	15	calculation	calculation	NOUN
fcis-13852	48	16	amount	amount	NOUN
fcis-13852	48	17	,	,	PUNCT
fcis-13852	48	18	but	but	CCONJ
fcis-13852	48	19	also	also	ADV
fcis-13852	48	20	reduce	reduce	VERB
fcis-13852	48	21	the	the	DET
fcis-13852	48	22	training	training	NOUN
fcis-13852	48	23	and	and	CCONJ
fcis-13852	48	24	reasoning	reasoning	NOUN
fcis-13852	48	25	speed	speed	NOUN
fcis-13852	48	26	,	,	PUNCT
fcis-13852	48	27	and	and	CCONJ
fcis-13852	48	28	a	a	DET
fcis-13852	48	29	large	large	ADJ
fcis-13852	48	30	number	number	NOUN
fcis-13852	48	31	of	of	ADP
fcis-13852	48	32	anchor	anchor	NOUN
fcis-13852	48	33	frames	frame	NOUN
fcis-13852	48	34	will	will	AUX
fcis-13852	48	35	become	become	VERB
fcis-13852	48	36	negative	negative	ADJ
fcis-13852	48	37	samples	sample	NOUN
fcis-13852	48	38	because	because	SCONJ
fcis-13852	48	39	they	they	PRON
fcis-13852	48	40	do	do	AUX
fcis-13852	48	41	not	not	PART
fcis-13852	48	42	reach	reach	VERB
fcis-13852	48	43	a	a	DET
fcis-13852	48	44	certain	certain	ADJ
fcis-13852	48	45	iou	iou	NOUN
fcis-13852	48	46	with	with	ADP
fcis-13852	48	47	the	the	DET
fcis-13852	48	48	real	real	ADJ
fcis-13852	48	49	frame	frame	NOUN
fcis-13852	48	50	,	,	PUNCT
fcis-13852	48	51	which	which	PRON
fcis-13852	48	52	will	will	AUX
fcis-13852	48	53	lead	lead	VERB
fcis-13852	48	54	to	to	ADP
fcis-13852	48	55	the	the	DET
fcis-13852	48	56	problem	problem	NOUN
fcis-13852	48	57	of	of	ADP
fcis-13852	48	58	positive	positive	ADJ
fcis-13852	48	59	and	and	CCONJ
fcis-13852	48	60	negative	negative	ADJ
fcis-13852	48	61	sample	sample	NOUN
fcis-13852	48	62	imbalance	imbalance	NOUN
fcis-13852	48	63	.	.	PUNCT
fcis-13852	49	1	the	the	DET
fcis-13852	49	2	anchor	anchor	NOUN
fcis-13852	49	3	free	free	ADJ
fcis-13852	49	4	method	method	NOUN
fcis-13852	49	5	adopted	adopt	VERB
fcis-13852	49	6	by	by	ADP
fcis-13852	49	7	yolov8	yolov8	NOUN
fcis-13852	49	8	can	can	AUX
fcis-13852	49	9	cope	cope	VERB
fcis-13852	49	10	with	with	ADP
fcis-13852	49	11	multi	multi	ADJ
fcis-13852	49	12	-	-	ADJ
fcis-13852	49	13	scale	scale	ADJ
fcis-13852	49	14	target	target	NOUN
fcis-13852	49	15	changes	change	NOUN
fcis-13852	49	16	and	and	CCONJ
fcis-13852	49	17	has	have	VERB
fcis-13852	49	18	good	good	ADJ
fcis-13852	49	19	generalization	generalization	NOUN
fcis-13852	49	20	ability	ability	NOUN
fcis-13852	49	21	.	.	PUNCT
fcis-13852	50	1	because	because	SCONJ
fcis-13852	50	2	it	it	PRON
fcis-13852	50	3	is	be	AUX
fcis-13852	50	4	not	not	PART
fcis-13852	50	5	affected	affect	VERB
fcis-13852	50	6	by	by	ADP
fcis-13852	50	7	the	the	DET
fcis-13852	50	8	number	number	NOUN
fcis-13852	50	9	and	and	CCONJ
fcis-13852	50	10	position	position	NOUN
fcis-13852	50	11	of	of	ADP
fcis-13852	50	12	anchor	anchor	NOUN
fcis-13852	50	13	frames	frame	NOUN
fcis-13852	50	14	,	,	PUNCT
fcis-13852	50	15	it	it	PRON
fcis-13852	50	16	has	have	VERB
fcis-13852	50	17	better	well	ADJ
fcis-13852	50	18	robustness	robustness	NOUN
fcis-13852	50	19	when	when	SCONJ
fcis-13852	50	20	dealing	deal	VERB
fcis-13852	50	21	with	with	ADP
fcis-13852	50	22	occluded	occluded	ADJ
fcis-13852	50	23	and	and	CCONJ
fcis-13852	50	24	dense	dense	ADJ
fcis-13852	50	25	targets	target	NOUN
fcis-13852	50	26	.	.	PUNCT
fcis-13852	51	1	3	3	X
fcis-13852	51	2	.	.	X
fcis-13852	51	3	improving	improve	VERB
fcis-13852	51	4	the	the	DET
fcis-13852	51	5	loss	loss	NOUN
fcis-13852	51	6	function	function	NOUN
fcis-13852	51	7	the	the	DET
fcis-13852	51	8	intersection	intersection	NOUN
fcis-13852	51	9	over	over	ADP
fcis-13852	51	10	union	union	NOUN
fcis-13852	51	11	(	(	PUNCT
fcis-13852	51	12	iou	iou	NOUN
fcis-13852	51	13	)	)	PUNCT
fcis-13852	51	14	is	be	AUX
fcis-13852	51	15	used	use	VERB
fcis-13852	51	16	to	to	PART
fcis-13852	51	17	weigh	weigh	VERB
fcis-13852	51	18	the	the	DET
fcis-13852	51	19	degree	degree	NOUN
fcis-13852	51	20	of	of	ADP
fcis-13852	51	21	match	match	NOUN
fcis-13852	51	22	between	between	ADP
fcis-13852	51	23	the	the	DET
fcis-13852	51	24	predicted	predict	VERB
fcis-13852	51	25	border	border	NOUN
fcis-13852	51	26	and	and	CCONJ
fcis-13852	51	27	the	the	DET
fcis-13852	51	28	real	real	ADV
fcis-13852	51	29	marked	mark	VERB
fcis-13852	51	30	border	border	NOUN
fcis-13852	51	31	,	,	PUNCT
fcis-13852	51	32	that	that	ADV
fcis-13852	51	33	is	is	ADV
fcis-13852	51	34	,	,	PUNCT
fcis-13852	51	35	the	the	DET
fcis-13852	51	36	ratio	ratio	NOUN
fcis-13852	51	37	of	of	ADP
fcis-13852	51	38	the	the	DET
fcis-13852	51	39	intersection	intersection	NOUN
fcis-13852	51	40	between	between	ADP
fcis-13852	51	41	the	the	DET
fcis-13852	51	42	predicted	predict	VERB
fcis-13852	51	43	border	border	NOUN
fcis-13852	51	44	and	and	CCONJ
fcis-13852	51	45	the	the	DET
fcis-13852	51	46	real	real	ADV
fcis-13852	51	47	marked	mark	VERB
fcis-13852	51	48	border	border	NOUN
fcis-13852	51	49	and	and	CCONJ
fcis-13852	51	50	the	the	DET
fcis-13852	51	51	union	union	NOUN
fcis-13852	51	52	between	between	ADP
fcis-13852	51	53	them	they	PRON
fcis-13852	51	54	.	.	PUNCT
fcis-13852	52	1	the	the	DET
fcis-13852	52	2	ideal	ideal	ADJ
fcis-13852	52	3	case	case	NOUN
fcis-13852	52	4	is	be	AUX
fcis-13852	52	5	complete	complete	ADJ
fcis-13852	52	6	overlap	overlap	NOUN
fcis-13852	52	7	,	,	PUNCT
fcis-13852	52	8	when	when	SCONJ
fcis-13852	52	9	iou=1	iou=1	X
fcis-13852	52	10	.	.	PUNCT
fcis-13852	53	1	ciou	ciou	NOUN
fcis-13852	53	2	is	be	AUX
fcis-13852	53	3	used	use	VERB
fcis-13852	53	4	as	as	ADP
fcis-13852	53	5	coordinate	coordinate	NOUN
fcis-13852	53	6	loss	loss	NOUN
fcis-13852	53	7	function	function	NOUN
fcis-13852	53	8	in	in	ADP
fcis-13852	53	9	yolov8	yolov8	PROPN
fcis-13852	53	10	network	network	PROPN
fcis-13852	53	11	model	model	PROPN
fcis-13852	53	12	.	.	PUNCT
fcis-13852	54	1	ciou	ciou	NOUN
fcis-13852	54	2	considers	consider	VERB
fcis-13852	54	3	three	three	NUM
fcis-13852	54	4	important	important	ADJ
fcis-13852	54	5	geometric	geometric	ADJ
fcis-13852	54	6	factors	factor	NOUN
fcis-13852	54	7	,	,	PUNCT
fcis-13852	54	8	namely	namely	ADV
fcis-13852	54	9	overlapping	overlap	VERB
fcis-13852	54	10	area	area	NOUN
fcis-13852	54	11	,	,	PUNCT
fcis-13852	54	12	center	center	NOUN
fcis-13852	54	13	point	point	NOUN
fcis-13852	54	14	distance	distance	NOUN
fcis-13852	54	15	and	and	CCONJ
fcis-13852	54	16	aspect	aspect	NOUN
fcis-13852	54	17	ratio	ratio	NOUN
fcis-13852	54	18	.	.	PUNCT
fcis-13852	55	1	given	give	VERB
fcis-13852	55	2	prediction	prediction	NOUN
fcis-13852	55	3	frame	frame	NOUN
fcis-13852	55	4	b	b	NOUN
fcis-13852	55	5	and	and	CCONJ
fcis-13852	55	6	real	real	ADJ
fcis-13852	55	7	frame	frame	NOUN
fcis-13852	55	8	gtb	gtb	NOUN
fcis-13852	55	9	,	,	PUNCT
fcis-13852	55	10	ciou	ciou	NOUN
fcis-13852	55	11	loss	loss	NOUN
fcis-13852	55	12	function	function	NOUN
fcis-13852	55	13	is	be	AUX
fcis-13852	55	14	defined	define	VERB
fcis-13852	55	15	as	as	SCONJ
fcis-13852	55	16	follows	follow	VERB
fcis-13852	55	17	:	:	PUNCT
fcis-13852	55	18	v	v	X
fcis-13852	55	19	c	c	NOUN
fcis-13852	55	20	bb	bb	INTJ
fcis-13852	55	21	ioul	ioul	PROPN
fcis-13852	55	22	gt	gt	PROPN
fcis-13852	55	23	ciou	ciou	PROPN
fcis-13852	55	24			PUNCT
fcis-13852	56	1			PROPN
fcis-13852	56	2	2	2	NUM
fcis-13852	56	3	2	2	NUM
fcis-13852	56	4	)	)	PUNCT
fcis-13852	56	5	,	,	PUNCT
fcis-13852	56	6	(	(	PUNCT
fcis-13852	56	7	1	1	NUM
fcis-13852	56	8	(	(	PUNCT
fcis-13852	56	9	1	1	NUM
fcis-13852	56	10	)	)	PUNCT
fcis-13852	56	11	where	where	SCONJ
fcis-13852	56	12	b	b	NOUN
fcis-13852	56	13	and	and	CCONJ
fcis-13852	56	14	gtb	gtb	NOUN
fcis-13852	56	15	represent	represent	VERB
fcis-13852	56	16	the	the	DET
fcis-13852	56	17	center	center	ADJ
fcis-13852	56	18	point	point	NOUN
fcis-13852	56	19	of	of	ADP
fcis-13852	56	20	b	b	NOUN
fcis-13852	56	21	and	and	CCONJ
fcis-13852	56	22	gtb	gtb	NOUN
fcis-13852	56	23	respectively	respectively	ADV
fcis-13852	56	24	,	,	PUNCT
fcis-13852	56	25	（	（	PUNCT
fcis-13852	56	26	）	）	PUNCT
fcis-13852	57	1	2	2	NUM
fcis-13852	57	2	represents	represent	VERB
fcis-13852	57	3	the	the	DET
fcis-13852	57	4	euclidean	euclidean	ADJ
fcis-13852	57	5	distance	distance	NOUN
fcis-13852	57	6	between	between	ADP
fcis-13852	57	7	them	they	PRON
fcis-13852	57	8	,	,	PUNCT
fcis-13852	57	9	c	c	PROPN
fcis-13852	57	10	is	be	AUX
fcis-13852	57	11	the	the	DET
fcis-13852	57	12	diagonal	diagonal	ADJ
fcis-13852	57	13	length	length	NOUN
fcis-13852	57	14	of	of	ADP
fcis-13852	57	15	the	the	DET
fcis-13852	57	16	minimum	minimum	ADJ
fcis-13852	57	17	external	external	ADJ
fcis-13852	57	18	frame	frame	NOUN
fcis-13852	57	19	of	of	ADP
fcis-13852	57	20	the	the	DET
fcis-13852	57	21	prediction	prediction	NOUN
fcis-13852	57	22	box	box	NOUN
fcis-13852	57	23	and	and	CCONJ
fcis-13852	57	24	the	the	DET
fcis-13852	57	25	real	real	ADJ
fcis-13852	57	26	box	box	NOUN
fcis-13852	57	27	,	,	PUNCT
fcis-13852	57	28			PROPN
fcis-13852	57	29	is	be	AUX
fcis-13852	57	30	the	the	DET
fcis-13852	57	31	positive	positive	ADJ
fcis-13852	57	32	balance	balance	NOUN
fcis-13852	57	33	parameter	parameter	NOUN
fcis-13852	57	34	,	,	PUNCT
fcis-13852	57	35	and	and	CCONJ
fcis-13852	57	36	v	v	NOUN
fcis-13852	57	37	is	be	AUX
fcis-13852	57	38	the	the	DET
fcis-13852	57	39	aspect	aspect	NOUN
fcis-13852	57	40	ratio	ratio	NOUN
fcis-13852	57	41	of	of	ADP
fcis-13852	57	42	the	the	DET
fcis-13852	57	43	prediction	prediction	NOUN
fcis-13852	57	44	box	box	NOUN
fcis-13852	57	45	and	and	CCONJ
fcis-13852	57	46	the	the	DET
fcis-13852	57	47	real	real	ADJ
fcis-13852	57	48	box	box	NOUN
fcis-13852	57	49	.	.	PUNCT
fcis-13852	58	1	since	since	SCONJ
fcis-13852	58	2	the	the	DET
fcis-13852	58	3	last	last	ADJ
fcis-13852	58	4	parameter	parameter	NOUN
fcis-13852	58	5	v	v	NOUN
fcis-13852	58	6	in	in	ADP
fcis-13852	58	7	cioul	cioul	NOUN
fcis-13852	58	8	only	only	ADV
fcis-13852	58	9	reflects	reflect	VERB
fcis-13852	58	10	the	the	DET
fcis-13852	58	11	difference	difference	NOUN
fcis-13852	58	12	in	in	ADP
fcis-13852	58	13	aspect	aspect	NOUN
fcis-13852	58	14	ratio	ratio	NOUN
fcis-13852	58	15	,	,	PUNCT
fcis-13852	58	16	and	and	CCONJ
fcis-13852	58	17	does	do	AUX
fcis-13852	58	18	not	not	PART
fcis-13852	58	19	reflect	reflect	VERB
fcis-13852	58	20	the	the	DET
fcis-13852	58	21	actual	actual	ADJ
fcis-13852	58	22	difference	difference	NOUN
fcis-13852	58	23	in	in	ADP
fcis-13852	58	24	width	width	NOUN
fcis-13852	58	25	and	and	CCONJ
fcis-13852	58	26	height	height	NOUN
fcis-13852	58	27	respectively	respectively	ADV
fcis-13852	58	28	and	and	CCONJ
fcis-13852	58	29	their	their	PRON
fcis-13852	58	30	confidence	confidence	NOUN
fcis-13852	58	31	levels	level	NOUN
fcis-13852	58	32	,	,	PUNCT
fcis-13852	58	33	it	it	PRON
fcis-13852	58	34	will	will	AUX
fcis-13852	58	35	hinder	hinder	VERB
fcis-13852	58	36	the	the	DET
fcis-13852	58	37	optimization	optimization	NOUN
fcis-13852	58	38	similarity	similarity	NOUN
fcis-13852	58	39	of	of	ADP
fcis-13852	58	40	the	the	DET
fcis-13852	58	41	model	model	NOUN
fcis-13852	58	42	.	.	PUNCT
fcis-13852	59	1	eiou	eiou	NOUN
fcis-13852	59	2	[	[	X
fcis-13852	59	3	10	10	NUM
fcis-13852	59	4	]	]	PUNCT
fcis-13852	59	5	divides	divide	VERB
fcis-13852	59	6	the	the	DET
fcis-13852	59	7	loss	loss	NOUN
fcis-13852	59	8	function	function	NOUN
fcis-13852	59	9	into	into	ADP
fcis-13852	59	10	three	three	NUM
fcis-13852	59	11	parts	part	NOUN
fcis-13852	59	12	:	:	PUNCT
fcis-13852	59	13	iou	iou	NOUN
fcis-13852	59	14	loss	loss	NOUN
fcis-13852	59	15	ioul	ioul	NOUN
fcis-13852	59	16	,	,	PUNCT
fcis-13852	59	17	distance	distance	NOUN
fcis-13852	59	18	loss	loss	NOUN
fcis-13852	59	19	disl	disl	ADJ
fcis-13852	59	20	and	and	CCONJ
fcis-13852	59	21	aspect	aspect	VERB
fcis-13852	59	22	ratio	ratio	NOUN
fcis-13852	59	23	loss	loss	NOUN
fcis-13852	59	24	aspl	aspl	ADV
fcis-13852	59	25	.	.	PUNCT
fcis-13852	60	1	considering	consider	VERB
fcis-13852	60	2	the	the	DET
fcis-13852	60	3	overlap	overlap	NOUN
fcis-13852	60	4	area	area	NOUN
fcis-13852	60	5	,	,	PUNCT
fcis-13852	60	6	center	center	NOUN
fcis-13852	60	7	point	point	NOUN
fcis-13852	60	8	distance	distance	NOUN
fcis-13852	60	9	and	and	CCONJ
fcis-13852	60	10	true	true	ADJ
fcis-13852	60	11	difference	difference	NOUN
fcis-13852	60	12	of	of	ADP
fcis-13852	60	13	length	length	NOUN
fcis-13852	60	14	,	,	PUNCT
fcis-13852	60	15	width	width	ADJ
fcis-13852	60	16	and	and	CCONJ
fcis-13852	60	17	side	side	NOUN
fcis-13852	60	18	length	length	NOUN
fcis-13852	60	19	,	,	PUNCT
fcis-13852	60	20	the	the	DET
fcis-13852	60	21	fuzzy	fuzzy	ADJ
fcis-13852	60	22	definition	definition	NOUN
fcis-13852	60	23	of	of	ADP
fcis-13852	60	24	aspect	aspect	NOUN
fcis-13852	60	25	ratio	ratio	NOUN
fcis-13852	60	26	is	be	AUX
fcis-13852	60	27	solved	solve	VERB
fcis-13852	60	28	based	base	VERB
fcis-13852	60	29	on	on	ADP
fcis-13852	60	30	ciou	ciou	NOUN
fcis-13852	60	31	.	.	PUNCT
fcis-13852	61	1	the	the	DET
fcis-13852	61	2	loss	loss	NOUN
fcis-13852	61	3	term	term	NOUN
fcis-13852	61	4	of	of	ADP
fcis-13852	61	5	the	the	DET
fcis-13852	61	6	aspect	aspect	NOUN
fcis-13852	61	7	ratio	ratio	NOUN
fcis-13852	61	8	is	be	AUX
fcis-13852	61	9	divided	divide	VERB
fcis-13852	61	10	into	into	ADP
fcis-13852	61	11	the	the	DET
fcis-13852	61	12	difference	difference	NOUN
fcis-13852	61	13	between	between	ADP
fcis-13852	61	14	the	the	DET
fcis-13852	61	15	width	width	NOUN
fcis-13852	61	16	and	and	CCONJ
fcis-13852	61	17	height	height	NOUN
fcis-13852	61	18	of	of	ADP
fcis-13852	61	19	the	the	DET
fcis-13852	61	20	prediction	prediction	NOUN
fcis-13852	61	21	frame	frame	NOUN
fcis-13852	61	22	and	and	CCONJ
fcis-13852	61	23	the	the	DET
fcis-13852	61	24	width	width	NOUN
fcis-13852	61	25	and	and	CCONJ
fcis-13852	61	26	height	height	NOUN
fcis-13852	61	27	of	of	ADP
fcis-13852	61	28	the	the	DET
fcis-13852	61	29	minimum	minimum	ADJ
fcis-13852	61	30	external	external	ADJ
fcis-13852	61	31	frame	frame	NOUN
fcis-13852	61	32	,	,	PUNCT
fcis-13852	61	33	and	and	CCONJ
fcis-13852	61	34	the	the	DET
fcis-13852	61	35	eiou	eiou	NOUN
fcis-13852	61	36	loss	loss	NOUN
fcis-13852	61	37	function	function	NOUN
fcis-13852	61	38	is	be	AUX
fcis-13852	61	39	defined	define	VERB
fcis-13852	61	40	as	as	SCONJ
fcis-13852	61	41	follows	follow	VERB
fcis-13852	61	42	:	:	PUNCT
fcis-13852	61	43	aspdisioueiou	aspdisioueiou	VERB
fcis-13852	61	44	llll	llll	NOUN
fcis-13852	61	45			PUNCT
fcis-13852	61	46	(	(	PUNCT
fcis-13852	61	47	2	2	NUM
fcis-13852	61	48	)	)	PUNCT
fcis-13852	61	49	,	,	PUNCT
fcis-13852	61	50	)	)	PUNCT
fcis-13852	61	51	(	(	PUNCT
fcis-13852	61	52	)	)	PUNCT
fcis-13852	61	53	,	,	PUNCT
fcis-13852	61	54	(	(	PUNCT
fcis-13852	61	55	)	)	PUNCT
fcis-13852	61	56	(	(	PUNCT
fcis-13852	61	57	)	)	PUNCT
fcis-13852	61	58	,	,	PUNCT
fcis-13852	61	59	(	(	PUNCT
fcis-13852	61	60	)	)	PUNCT
fcis-13852	61	61	(	(	PUNCT
fcis-13852	61	62	)	)	PUNCT
fcis-13852	61	63	(	(	PUNCT
fcis-13852	61	64	)	)	PUNCT
fcis-13852	61	65	,	,	PUNCT
fcis-13852	61	66	(	(	PUNCT
fcis-13852	61	67	1	1	NUM
fcis-13852	61	68	2	2	NUM
fcis-13852	61	69	2	2	NUM
fcis-13852	61	70	2	2	NUM
fcis-13852	61	71	2	2	NUM
fcis-13852	61	72	22	22	NUM
fcis-13852	61	73	2	2	NUM
fcis-13852	61	74	c	c	NOUN
fcis-13852	61	75	gt	gt	INTJ
fcis-13852	62	1	c	c	NOUN
fcis-13852	62	2	gt	gt	PROPN
fcis-13852	62	3	cc	cc	PROPN
fcis-13852	62	4	gt	gt	PROPN
fcis-13852	63	1	h	h	PROPN
fcis-13852	63	2	hhp	hhp	PROPN
fcis-13852	63	3	w	w	PROPN
fcis-13852	63	4	wwp	wwp	PROPN
fcis-13852	63	5	hw	hw	PROPN
fcis-13852	63	6	bbp	bbp	PROPN
fcis-13852	63	7	iou	iou	PROPN
fcis-13852	63	8			PROPN
fcis-13852	63	9			X
fcis-13852	63	10			PUNCT
fcis-13852	63	11	where	where	SCONJ
fcis-13852	63	12	,	,	PUNCT
fcis-13852	63	13	wh	wh	PROPN
fcis-13852	63	14	and	and	CCONJ
fcis-13852	63	15	ch	ch	NOUN
fcis-13852	63	16	are	be	AUX
fcis-13852	63	17	the	the	DET
fcis-13852	63	18	width	width	ADJ
fcis-13852	63	19	and	and	CCONJ
fcis-13852	63	20	height	height	NOUN
fcis-13852	63	21	of	of	ADP
fcis-13852	63	22	the	the	DET
fcis-13852	63	23	minimum	minimum	ADJ
fcis-13852	63	24	external	external	ADJ
fcis-13852	63	25	frame	frame	NOUN
fcis-13852	63	26	for	for	ADP
fcis-13852	63	27	the	the	DET
fcis-13852	63	28	prediction	prediction	NOUN
fcis-13852	63	29	and	and	CCONJ
fcis-13852	63	30	target	target	NOUN
fcis-13852	63	31	frames	frame	NOUN
fcis-13852	63	32	.	.	PUNCT
fcis-13852	64	1	siou[11	siou[11	PROPN
fcis-13852	64	2	]	]	PUNCT
fcis-13852	64	3	first	first	ADV
fcis-13852	64	4	introduced	introduce	VERB
fcis-13852	64	5	the	the	DET
fcis-13852	64	6	vector	vector	NOUN
fcis-13852	64	7	angle	angle	NOUN
fcis-13852	64	8	between	between	ADP
fcis-13852	64	9	bounding	bound	VERB
fcis-13852	64	10	box	box	NOUN
fcis-13852	64	11	regressions	regression	NOUN
fcis-13852	64	12	as	as	ADP
fcis-13852	64	13	a	a	DET
fcis-13852	64	14	penalty	penalty	NOUN
fcis-13852	64	15	factor	factor	NOUN
fcis-13852	64	16	.	.	PUNCT
fcis-13852	65	1	first	first	ADV
fcis-13852	65	2	,	,	PUNCT
fcis-13852	65	3	based	base	VERB
fcis-13852	65	4	on	on	ADP
fcis-13852	65	5	the	the	DET
fcis-13852	65	6	magnitude	magnitude	NOUN
fcis-13852	65	7	of	of	ADP
fcis-13852	65	8	the	the	DET
fcis-13852	65	9	angle	angle	NOUN
fcis-13852	65	10	,	,	PUNCT
fcis-13852	65	11	between	between	ADP
fcis-13852	65	12	the	the	DET
fcis-13852	65	13	prediction	prediction	NOUN
fcis-13852	65	14	box	box	NOUN
fcis-13852	65	15	and	and	CCONJ
fcis-13852	65	16	the	the	DET
fcis-13852	65	17	actual	actual	ADJ
fcis-13852	65	18	box	box	NOUN
fcis-13852	65	19	,	,	PUNCT
fcis-13852	65	20	the	the	DET
fcis-13852	65	21	prediction	prediction	NOUN
fcis-13852	65	22	box	box	NOUN
fcis-13852	65	23	quickly	quickly	ADV
fcis-13852	65	24	moves	move	VERB
fcis-13852	65	25	toward	toward	ADP
fcis-13852	65	26	the	the	DET
fcis-13852	65	27	nearest	near	ADJ
fcis-13852	65	28	axis	axis	NOUN
fcis-13852	65	29	and	and	CCONJ
fcis-13852	65	30	then	then	ADV
fcis-13852	65	31	returns	return	VERB
fcis-13852	65	32	to	to	ADP
fcis-13852	65	33	the	the	DET
fcis-13852	65	34	real	real	ADJ
fcis-13852	65	35	box	box	NOUN
fcis-13852	65	36	.	.	PUNCT
fcis-13852	66	1	the	the	DET
fcis-13852	66	2	degree	degree	NOUN
fcis-13852	66	3	of	of	ADP
fcis-13852	66	4	freedom	freedom	NOUN
fcis-13852	66	5	of	of	ADP
fcis-13852	66	6	regression	regression	NOUN
fcis-13852	66	7	can	can	AUX
fcis-13852	66	8	be	be	AUX
fcis-13852	66	9	effectively	effectively	ADV
fcis-13852	66	10	reduced	reduce	VERB
fcis-13852	66	11	and	and	CCONJ
fcis-13852	66	12	the	the	DET
fcis-13852	66	13	convergence	convergence	NOUN
fcis-13852	66	14	speed	speed	NOUN
fcis-13852	66	15	of	of	ADP
fcis-13852	66	16	the	the	DET
fcis-13852	66	17	model	model	NOUN
fcis-13852	66	18	can	can	AUX
fcis-13852	66	19	be	be	AUX
fcis-13852	66	20	accelerated	accelerate	VERB
fcis-13852	66	21	.	.	PUNCT
fcis-13852	67	1	several	several	ADJ
fcis-13852	67	2	mainstream	mainstream	NOUN
fcis-13852	67	3	loss	loss	NOUN
fcis-13852	67	4	functions	function	NOUN
fcis-13852	67	5	described	describe	VERB
fcis-13852	67	6	above	above	ADP
fcis-13852	67	7	all	all	PRON
fcis-13852	67	8	adopt	adopt	VERB
fcis-13852	67	9	static	static	ADJ
fcis-13852	67	10	focusing	focus	VERB
fcis-13852	67	11	mechanism	mechanism	NOUN
fcis-13852	67	12	.	.	PUNCT
fcis-13852	68	1	wiou	wiou	VERB
fcis-13852	68	2	not	not	PART
fcis-13852	68	3	only	only	ADV
fcis-13852	68	4	takes	take	VERB
fcis-13852	68	5	aspect	aspect	NOUN
fcis-13852	68	6	ratio	ratio	NOUN
fcis-13852	68	7	,	,	PUNCT
fcis-13852	68	8	centroid	centroid	NOUN
fcis-13852	68	9	distance	distance	NOUN
fcis-13852	68	10	and	and	CCONJ
fcis-13852	68	11	overlapping	overlap	VERB
fcis-13852	68	12	area	area	NOUN
fcis-13852	68	13	into	into	ADP
fcis-13852	68	14	account	account	NOUN
fcis-13852	68	15	,	,	PUNCT
fcis-13852	68	16	but	but	CCONJ
fcis-13852	68	17	also	also	ADV
fcis-13852	68	18	introduces	introduce	VERB
fcis-13852	68	19	dynamic	dynamic	ADJ
fcis-13852	68	20	non	non	ADJ
fcis-13852	68	21	-	-	ADJ
fcis-13852	68	22	monotonic	monotonic	ADJ
fcis-13852	68	23	focusing	focus	VERB
fcis-13852	68	24	mechanism	mechanism	NOUN
fcis-13852	68	25	to	to	PART
fcis-13852	68	26	calculate	calculate	VERB
fcis-13852	68	27	iou	iou	NOUN
fcis-13852	68	28	loss	loss	NOUN
fcis-13852	68	29	in	in	ADP
fcis-13852	68	30	predicted	predict	VERB
fcis-13852	68	31	category	category	NOUN
fcis-13852	68	32	loss	loss	NOUN
fcis-13852	68	33	based	base	VERB
fcis-13852	68	34	on	on	ADP
fcis-13852	68	35	dynamic	dynamic	ADJ
fcis-13852	68	36	method	method	NOUN
fcis-13852	68	37	,	,	PUNCT
fcis-13852	68	38	and	and	CCONJ
fcis-13852	68	39	uses	use	VERB
fcis-13852	68	40	gradient	gradient	ADJ
fcis-13852	68	41	gain	gain	NOUN
fcis-13852	68	42	to	to	PART
fcis-13852	68	43	evaluate	evaluate	VERB
fcis-13852	68	44	anchor	anchor	NOUN
fcis-13852	68	45	frame	frame	NOUN
fcis-13852	68	46	quality	quality	NOUN
fcis-13852	68	47	.	.	PUNCT
fcis-13852	69	1	it	it	PRON
fcis-13852	69	2	can	can	AUX
fcis-13852	69	3	improve	improve	VERB
fcis-13852	69	4	the	the	DET
fcis-13852	69	5	performance	performance	NOUN
fcis-13852	69	6	of	of	ADP
fcis-13852	69	7	the	the	DET
fcis-13852	69	8	algorithm	algorithm	NOUN
fcis-13852	69	9	,	,	PUNCT
fcis-13852	69	10	prevent	prevent	VERB
fcis-13852	69	11	slow	slow	ADJ
fcis-13852	69	12	convergence	convergence	NOUN
fcis-13852	69	13	,	,	PUNCT
fcis-13852	69	14	improve	improve	VERB
fcis-13852	69	15	convergence	convergence	NOUN
fcis-13852	69	16	accuracy	accuracy	NOUN
fcis-13852	69	17	,	,	PUNCT
fcis-13852	69	18	and	and	CCONJ
fcis-13852	69	19	enhance	enhance	VERB
fcis-13852	69	20	the	the	DET
fcis-13852	69	21	generalization	generalization	NOUN
fcis-13852	69	22	ability	ability	NOUN
fcis-13852	69	23	of	of	ADP
fcis-13852	69	24	the	the	DET
fcis-13852	69	25	model	model	NOUN
fcis-13852	69	26	.	.	PUNCT
fcis-13852	70	1	there	there	PRON
fcis-13852	70	2	are	be	VERB
fcis-13852	70	3	three	three	NUM
fcis-13852	70	4	versions	version	NOUN
fcis-13852	70	5	of	of	ADP
fcis-13852	70	6	wiou	wiou	NOUN
fcis-13852	70	7	:	:	PUNCT
fcis-13852	70	8	wiou	wiou	NOUN
fcis-13852	70	9	v1	v1	NOUN
fcis-13852	70	10	,	,	PUNCT
fcis-13852	70	11	wiou	wiou	NOUN
fcis-13852	70	12	v2	v2	NOUN
fcis-13852	70	13	,	,	PUNCT
fcis-13852	70	14	and	and	CCONJ
fcis-13852	70	15	wiou	wiou	NOUN
fcis-13852	70	16	v3	v3	PROPN
fcis-13852	70	17	.	.	PUNCT
fcis-13852	71	1	wiou	wiou	NOUN
fcis-13852	71	2	v1	v1	PROPN
fcis-13852	71	3	uses	use	VERB
fcis-13852	71	4	an	an	DET
fcis-13852	71	5	attention	attention	NOUN
fcis-13852	71	6	-	-	PUNCT
fcis-13852	71	7	mechanism	mechanism	NOUN
fcis-13852	71	8	-	-	PUNCT
fcis-13852	71	9	based	base	VERB
fcis-13852	71	10	predictive	predictive	ADJ
fcis-13852	71	11	frame	frame	NOUN
fcis-13852	71	12	loss	loss	NOUN
fcis-13852	71	13	design	design	NOUN
fcis-13852	71	14	and	and	CCONJ
fcis-13852	71	15	introduces	introduce	NOUN
fcis-13852	71	16	distance	distance	NOUN
fcis-13852	71	17	metrics	metric	NOUN
fcis-13852	71	18	.	.	PUNCT
fcis-13852	72	1	when	when	SCONJ
fcis-13852	72	2	the	the	DET
fcis-13852	72	3	prediction	prediction	NOUN
fcis-13852	72	4	box	box	NOUN
fcis-13852	72	5	overlaps	overlap	VERB
fcis-13852	72	6	with	with	ADP
fcis-13852	72	7	the	the	DET
fcis-13852	72	8	real	real	ADJ
fcis-13852	72	9	box	box	NOUN
fcis-13852	72	10	within	within	ADP
fcis-13852	72	11	a	a	DET
fcis-13852	72	12	certain	certain	ADJ
fcis-13852	72	13	range	range	NOUN
fcis-13852	72	14	,	,	PUNCT
fcis-13852	72	15	the	the	DET
fcis-13852	72	16	penalty	penalty	NOUN
fcis-13852	72	17	of	of	ADP
fcis-13852	72	18	geometric	geometric	ADJ
fcis-13852	72	19	measures	measure	NOUN
fcis-13852	72	20	is	be	AUX
fcis-13852	72	21	reduced	reduce	VERB
fcis-13852	72	22	to	to	PART
fcis-13852	72	23	obtain	obtain	VERB
fcis-13852	72	24	better	well	ADJ
fcis-13852	72	25	generalization	generalization	NOUN
fcis-13852	72	26	ability	ability	NOUN
fcis-13852	72	27	.	.	PUNCT
fcis-13852	73	1	wiou	wiou	NOUN
fcis-13852	73	2	v1	v1	NOUN
fcis-13852	73	3	is	be	AUX
fcis-13852	73	4	calculated	calculate	VERB
fcis-13852	73	5	as	as	SCONJ
fcis-13852	73	6	follows	follow	VERB
fcis-13852	73	7	:	:	PUNCT
fcis-13852	74	1	iouwiouwiouv	iouwiouwiouv	PROPN
fcis-13852	74	2	lrl	lrl	PROPN
fcis-13852	74	3	1	1	PROPN
fcis-13852	75	1	(	(	PUNCT
fcis-13852	75	2	3	3	X
fcis-13852	75	3	)	)	PUNCT
fcis-13852	75	4			NOUN
fcis-13852	75	5			SYM
fcis-13852	75	6			NOUN
fcis-13852	75	7			SYM
fcis-13852	75	8			NOUN
fcis-13852	75	9			PROPN
fcis-13852	75	10			PROPN
fcis-13852	75	11			PROPN
fcis-13852	76	1			NOUN
fcis-13852	77	1			PROPN
fcis-13852	77	2			PROPN
fcis-13852	77	3			PROPN
fcis-13852	78	1			PROPN
fcis-13852	78	2			NOUN
fcis-13852	78	3			PUNCT
fcis-13852	78	4			VERB
fcis-13852	78	5			PROPN
fcis-13852	78	6	*	*	SYM
fcis-13852	78	7	22	22	NUM
fcis-13852	78	8	22	22	NUM
fcis-13852	78	9	ou	ou	NOUN
fcis-13852	78	10	exp	exp	NOUN
fcis-13852	78	11	gg	gg	PROPN
fcis-13852	78	12	gtgt	gtgt	PROPN
fcis-13852	78	13	wi	wi	PROPN
fcis-13852	79	1	hw	hw	PROPN
fcis-13852	79	2	yyxx	yyxx	PROPN
fcis-13852	79	3	r	r	NOUN
fcis-13852	79	4	(	(	PUNCT
fcis-13852	79	5	4	4	NUM
fcis-13852	79	6	)	)	PUNCT
fcis-13852	79	7	iigtgt	iigtgt	PROPN
fcis-13852	79	8	ii	ii	PROPN
fcis-13852	79	9	iou	iou	PROPN
fcis-13852	79	10	hwhwwh	hwhwwh	PROPN
fcis-13852	79	11	hw	hw	PROPN
fcis-13852	79	12	l	l	NOUN
fcis-13852	79	13			PROPN
fcis-13852	79	14	1	1	NOUN
fcis-13852	79	15	(	(	PUNCT
fcis-13852	79	16	5	5	NUM
fcis-13852	79	17	)	)	PUNCT
fcis-13852	79	18	among	among	ADP
fcis-13852	79	19	them	they	PRON
fcis-13852	79	20	,	,	PUNCT
fcis-13852	79	21	x	x	PUNCT
fcis-13852	79	22	and	and	CCONJ
fcis-13852	79	23	y	y	PROPN
fcis-13852	79	24	represent	represent	VERB
fcis-13852	79	25	the	the	DET
fcis-13852	79	26	horizontal	horizontal	ADJ
fcis-13852	79	27	and	and	CCONJ
fcis-13852	79	28	vertical	vertical	ADJ
fcis-13852	79	29	coordinates	coordinate	NOUN
fcis-13852	79	30	of	of	ADP
fcis-13852	79	31	the	the	DET
fcis-13852	79	32	center	center	ADJ
fcis-13852	79	33	point	point	NOUN
fcis-13852	79	34	of	of	ADP
fcis-13852	79	35	the	the	DET
fcis-13852	79	36	prediction	prediction	NOUN
fcis-13852	79	37	box	box	NOUN
fcis-13852	79	38	,	,	PUNCT
fcis-13852	79	39	w	w	PROPN
fcis-13852	79	40	and	and	CCONJ
fcis-13852	79	41	h	h	PROPN
fcis-13852	79	42	represent	represent	VERB
fcis-13852	79	43	the	the	DET
fcis-13852	79	44	width	width	NOUN
fcis-13852	79	45	and	and	CCONJ
fcis-13852	79	46	height	height	NOUN
fcis-13852	79	47	of	of	ADP
fcis-13852	79	48	the	the	DET
fcis-13852	79	49	prediction	prediction	NOUN
fcis-13852	79	50	box	box	NOUN
fcis-13852	79	51	,	,	PUNCT
fcis-13852	79	52	xgt	xgt	NOUN
fcis-13852	79	53	and	and	CCONJ
fcis-13852	79	54	ygt	ygt	PROPN
fcis-13852	79	55	represent	represent	VERB
fcis-13852	79	56	the	the	DET
fcis-13852	79	57	horizontal	horizontal	ADJ
fcis-13852	79	58	and	and	CCONJ
fcis-13852	79	59	vertical	vertical	ADJ
fcis-13852	79	60	coordinates	coordinate	NOUN
fcis-13852	79	61	of	of	ADP
fcis-13852	79	62	the	the	DET
fcis-13852	79	63	center	center	ADJ
fcis-13852	79	64	point	point	NOUN
fcis-13852	79	65	of	of	ADP
fcis-13852	79	66	the	the	DET
fcis-13852	79	67	real	real	ADJ
fcis-13852	79	68	box	box	NOUN
fcis-13852	79	69	for	for	ADP
fcis-13852	79	70	x	x	PROPN
fcis-13852	79	71	and	and	CCONJ
fcis-13852	79	72	y	y	PROPN
fcis-13852	79	73	,	,	PUNCT
fcis-13852	79	74	respectively	respectively	ADV
fcis-13852	79	75	,	,	PUNCT
fcis-13852	79	76	wgt	wgt	PROPN
fcis-13852	79	77	and	and	CCONJ
fcis-13852	79	78	hgt	hgt	PROPN
fcis-13852	79	79	represent	represent	VERB
fcis-13852	79	80	the	the	DET
fcis-13852	79	81	width	width	NOUN
fcis-13852	79	82	and	and	CCONJ
fcis-13852	79	83	height	height	NOUN
fcis-13852	79	84	of	of	ADP
fcis-13852	79	85	the	the	DET
fcis-13852	79	86	real	real	ADJ
fcis-13852	79	87	box	box	NOUN
fcis-13852	79	88	.	.	PUNCT
fcis-13852	80	1	wg	wg	PROPN
fcis-13852	80	2	and	and	CCONJ
fcis-13852	80	3	hg	hg	PROPN
fcis-13852	80	4	are	be	AUX
fcis-13852	80	5	used	use	VERB
fcis-13852	80	6	to	to	PART
fcis-13852	80	7	represent	represent	VERB
fcis-13852	80	8	the	the	DET
fcis-13852	80	9	width	width	NOUN
fcis-13852	80	10	and	and	CCONJ
fcis-13852	80	11	height	height	NOUN
fcis-13852	80	12	of	of	ADP
fcis-13852	80	13	the	the	DET
fcis-13852	80	14	48	48	NUM
fcis-13852	80	15	minimum	minimum	NOUN
fcis-13852	80	16	enclosed	enclose	VERB
fcis-13852	80	17	box	box	NOUN
fcis-13852	80	18	formed	form	VERB
fcis-13852	80	19	by	by	ADP
fcis-13852	80	20	the	the	DET
fcis-13852	80	21	predicted	predict	VERB
fcis-13852	80	22	box	box	PROPN
fcis-13852	80	23	and	and	CCONJ
fcis-13852	80	24	the	the	DET
fcis-13852	80	25	real	real	ADJ
fcis-13852	80	26	box	box	NOUN
fcis-13852	80	27	.	.	PUNCT
fcis-13852	81	1	based	base	VERB
fcis-13852	81	2	on	on	ADP
fcis-13852	81	3	v1	v1	PROPN
fcis-13852	81	4	version	version	NOUN
fcis-13852	81	5	,	,	PUNCT
fcis-13852	81	6	wiouv2	wiouv2	X
fcis-13852	81	7	constructs	construct	NOUN
fcis-13852	81	8	*	*	PUNCT
fcis-13852	81	9			NUM
fcis-13852	81	10	ioul	ioul	VERB
fcis-13852	81	11	monotone	monotone	ADJ
fcis-13852	81	12	focusing	focus	VERB
fcis-13852	81	13	coefficient	coefficient	NOUN
fcis-13852	81	14	,	,	PUNCT
fcis-13852	81	15	which	which	PRON
fcis-13852	81	16	can	can	AUX
fcis-13852	81	17	effectively	effectively	ADV
fcis-13852	81	18	reduce	reduce	VERB
fcis-13852	81	19	the	the	DET
fcis-13852	81	20	weight	weight	NOUN
fcis-13852	81	21	of	of	ADP
fcis-13852	81	22	simple	simple	ADJ
fcis-13852	81	23	samples	sample	NOUN
fcis-13852	81	24	in	in	ADP
fcis-13852	81	25	the	the	DET
fcis-13852	81	26	loss	loss	NOUN
fcis-13852	81	27	value	value	NOUN
fcis-13852	81	28	,	,	PUNCT
fcis-13852	81	29	make	make	VERB
fcis-13852	81	30	the	the	DET
fcis-13852	81	31	model	model	NOUN
fcis-13852	81	32	pay	pay	VERB
fcis-13852	81	33	more	more	ADJ
fcis-13852	81	34	attention	attention	NOUN
fcis-13852	81	35	to	to	ADP
fcis-13852	81	36	difficult	difficult	ADJ
fcis-13852	81	37	samples	sample	NOUN
fcis-13852	81	38	,	,	PUNCT
fcis-13852	81	39	and	and	CCONJ
fcis-13852	81	40	improve	improve	VERB
fcis-13852	81	41	the	the	DET
fcis-13852	81	42	classification	classification	NOUN
fcis-13852	81	43	performance	performance	NOUN
fcis-13852	81	44	.	.	PUNCT
fcis-13852	82	1	however	however	ADV
fcis-13852	82	2	,	,	PUNCT
fcis-13852	82	3	in	in	ADP
fcis-13852	82	4	the	the	DET
fcis-13852	82	5	course	course	NOUN
fcis-13852	82	6	of	of	ADP
fcis-13852	82	7	training	training	NOUN
fcis-13852	82	8	,	,	PUNCT
fcis-13852	82	9	the	the	DET
fcis-13852	82	10	gradient	gradient	ADJ
fcis-13852	82	11	gain	gain	NOUN
fcis-13852	82	12	will	will	AUX
fcis-13852	82	13	decrease	decrease	VERB
fcis-13852	82	14	with	with	ADP
fcis-13852	82	15	the	the	DET
fcis-13852	82	16	decrease	decrease	NOUN
fcis-13852	82	17	of	of	ADP
fcis-13852	82	18	liou	liou	NOUN
fcis-13852	82	19	,	,	PUNCT
fcis-13852	82	20	resulting	result	VERB
fcis-13852	82	21	in	in	ADP
fcis-13852	82	22	the	the	DET
fcis-13852	82	23	deterioration	deterioration	NOUN
fcis-13852	82	24	of	of	ADP
fcis-13852	82	25	the	the	DET
fcis-13852	82	26	convergence	convergence	NOUN
fcis-13852	82	27	of	of	ADP
fcis-13852	82	28	the	the	DET
fcis-13852	82	29	model	model	NOUN
fcis-13852	82	30	at	at	ADP
fcis-13852	82	31	the	the	DET
fcis-13852	82	32	later	later	ADJ
fcis-13852	82	33	stage	stage	NOUN
fcis-13852	82	34	of	of	ADP
fcis-13852	82	35	training	training	NOUN
fcis-13852	82	36	.	.	PUNCT
fcis-13852	83	1	in	in	ADP
fcis-13852	83	2	order	order	NOUN
fcis-13852	83	3	to	to	PART
fcis-13852	83	4	solve	solve	VERB
fcis-13852	83	5	this	this	DET
fcis-13852	83	6	problem	problem	NOUN
fcis-13852	83	7	,	,	PUNCT
fcis-13852	83	8	the	the	DET
fcis-13852	83	9	average	average	ADJ
fcis-13852	83	10	value	value	NOUN
fcis-13852	83	11	of	of	ADP
fcis-13852	83	12	liou	liou	NOUN
fcis-13852	83	13	is	be	AUX
fcis-13852	83	14	introduced	introduce	VERB
fcis-13852	83	15	to	to	PART
fcis-13852	83	16	normalize	normalize	VERB
fcis-13852	83	17	liou	liou	NOUN
fcis-13852	83	18	.	.	PUNCT
fcis-13852	84	1	the	the	DET
fcis-13852	84	2	formula	formula	NOUN
fcis-13852	84	3	for	for	ADP
fcis-13852	84	4	calculating	calculate	VERB
fcis-13852	84	5	wiou	wiou	NOUN
fcis-13852	84	6	v2	v2	NOUN
fcis-13852	84	7	is	be	AUX
fcis-13852	84	8	as	as	SCONJ
fcis-13852	84	9	follows	follow	VERB
fcis-13852	84	10	:	:	PUNCT
fcis-13852	84	11	1	1	NUM
fcis-13852	84	12	*	*	SYM
fcis-13852	84	13	2	2	NUM
fcis-13852	84	14	wiouv	wiouv	PROPN
fcis-13852	84	15	iou	iou	PROPN
fcis-13852	84	16	iou	iou	PROPN
fcis-13852	84	17	wiouv	wiouv	PROPN
fcis-13852	84	18	l	l	PROPN
fcis-13852	84	19	l	l	NOUN
fcis-13852	84	20	l	l	X
fcis-13852	84	21	l	l	NOUN
fcis-13852	84	22			NUM
fcis-13852	84	23			NOUN
fcis-13852	84	24			NOUN
fcis-13852	84	25			PROPN
fcis-13852	84	26			NOUN
fcis-13852	84	27			PROPN
fcis-13852	84	28			NOUN
fcis-13852	84	29			NOUN
fcis-13852	84	30	(	(	PUNCT
fcis-13852	84	31	6	6	NUM
fcis-13852	84	32	)	)	PUNCT
fcis-13852	84	33	wiouv3	wiouv3	NOUN
fcis-13852	84	34	builds	build	VERB
fcis-13852	84	35			PROPN
fcis-13852	84	36	non	non	ADJ
fcis-13852	84	37	-	-	ADJ
fcis-13852	84	38	monotone	monotone	ADJ
fcis-13852	84	39	focusing	focus	VERB
fcis-13852	84	40	coefficient	coefficient	NOUN
fcis-13852	84	41	r	r	NOUN
fcis-13852	84	42	based	base	VERB
fcis-13852	84	43	on	on	ADP
fcis-13852	84	44	anomaly	anomaly	NOUN
fcis-13852	84	45	degree	degree	NOUN
fcis-13852	84	46	a	a	PRON
fcis-13852	84	47	,	,	PUNCT
fcis-13852	84	48	and	and	CCONJ
fcis-13852	84	49	through	through	ADP
fcis-13852	84	50	r	r	NOUN
fcis-13852	84	51	,	,	PUNCT
fcis-13852	84	52	dynamically	dynamically	ADV
fcis-13852	84	53	optimizes	optimize	VERB
fcis-13852	84	54	the	the	DET
fcis-13852	84	55	contribution	contribution	NOUN
fcis-13852	84	56	of	of	ADP
fcis-13852	84	57	high	high	ADJ
fcis-13852	84	58	-	-	PUNCT
fcis-13852	84	59	quality	quality	NOUN
fcis-13852	84	60	and	and	CCONJ
fcis-13852	84	61	low	low	ADJ
fcis-13852	84	62	-	-	PUNCT
fcis-13852	84	63	quality	quality	NOUN
fcis-13852	84	64	samples	sample	NOUN
fcis-13852	84	65	to	to	ADP
fcis-13852	84	66	the	the	DET
fcis-13852	84	67	gradient	gradient	NOUN
fcis-13852	84	68	,	,	PUNCT
fcis-13852	84	69	reduces	reduce	VERB
fcis-13852	84	70	the	the	DET
fcis-13852	84	71	harmful	harmful	ADJ
fcis-13852	84	72	gradient	gradient	NOUN
fcis-13852	84	73	generated	generate	VERB
fcis-13852	84	74	by	by	ADP
fcis-13852	84	75	low	low	ADJ
fcis-13852	84	76	-	-	PUNCT
fcis-13852	84	77	quality	quality	NOUN
fcis-13852	84	78	samples	sample	NOUN
fcis-13852	84	79	,	,	PUNCT
fcis-13852	84	80	thereby	thereby	ADV
fcis-13852	84	81	speeding	speed	VERB
fcis-13852	84	82	up	up	ADP
fcis-13852	84	83	the	the	DET
fcis-13852	84	84	convergence	convergence	NOUN
fcis-13852	84	85	rate	rate	NOUN
fcis-13852	84	86	of	of	ADP
fcis-13852	84	87	the	the	DET
fcis-13852	84	88	model	model	NOUN
fcis-13852	84	89	and	and	CCONJ
fcis-13852	84	90	improving	improve	VERB
fcis-13852	84	91	the	the	DET
fcis-13852	84	92	overall	overall	ADJ
fcis-13852	84	93	performance	performance	NOUN
fcis-13852	84	94	of	of	ADP
fcis-13852	84	95	the	the	DET
fcis-13852	84	96	model	model	NOUN
fcis-13852	84	97	.	.	PUNCT
fcis-13852	85	1	the	the	DET
fcis-13852	85	2	calculation	calculation	NOUN
fcis-13852	85	3	formula	formula	NOUN
fcis-13852	85	4	for	for	ADP
fcis-13852	85	5	wiou	wiou	NOUN
fcis-13852	85	6	v3	v3	PROPN
fcis-13852	85	7	is	be	AUX
fcis-13852	85	8	shown	show	VERB
fcis-13852	85	9	as	as	SCONJ
fcis-13852	85	10	follows	follow	VERB
fcis-13852	85	11	:	:	PUNCT
fcis-13852	85	12	13	13	NUM
fcis-13852	85	13	wiouvwiouv	wiouvwiouv	NOUN
fcis-13852	85	14	rll	rll	PROPN
fcis-13852	85	15			PROPN
fcis-13852	85	16	(	(	PUNCT
fcis-13852	85	17	7	7	NUM
fcis-13852	85	18	)	)	PUNCT
fcis-13852	85	19			NOUN
fcis-13852	85	20			PROPN
fcis-13852	85	21	r	r	NOUN
fcis-13852	85	22	,	,	PUNCT
fcis-13852	85	23			ADJ
fcis-13852	85	24			PUNCT
fcis-13852	85	25	,	,	PUNCT
fcis-13852	85	26	0	0	NUM
fcis-13852	85	27	*	*	PUNCT
fcis-13852	85	28	iou	iou	PROPN
fcis-13852	85	29	iou	iou	PROPN
fcis-13852	85	30	l	l	PROPN
fcis-13852	85	31	l	l	PROPN
fcis-13852	85	32	4	4	NUM
fcis-13852	85	33	.	.	PUNCT
fcis-13852	85	34	experimental	experimental	ADJ
fcis-13852	85	35	design	design	NOUN
fcis-13852	85	36	and	and	CCONJ
fcis-13852	85	37	analysis	analysis	NOUN
fcis-13852	85	38	of	of	ADP
fcis-13852	85	39	results	result	NOUN
fcis-13852	85	40	4.1	4.1	NUM
fcis-13852	85	41	.	.	PUNCT
fcis-13852	86	1	experimental	experimental	ADJ
fcis-13852	86	2	environment	environment	NOUN
fcis-13852	86	3	and	and	CCONJ
fcis-13852	86	4	parameter	parameter	NOUN
fcis-13852	86	5	settings	setting	NOUN
fcis-13852	86	6	the	the	DET
fcis-13852	86	7	relevant	relevant	ADJ
fcis-13852	86	8	configuration	configuration	NOUN
fcis-13852	86	9	parameters	parameter	NOUN
fcis-13852	86	10	of	of	ADP
fcis-13852	86	11	the	the	DET
fcis-13852	86	12	experimental	experimental	ADJ
fcis-13852	86	13	platform	platform	NOUN
fcis-13852	86	14	environment	environment	NOUN
fcis-13852	86	15	construction	construction	NOUN
fcis-13852	86	16	are	be	AUX
fcis-13852	86	17	shown	show	VERB
fcis-13852	86	18	in	in	ADP
fcis-13852	86	19	the	the	DET
fcis-13852	86	20	table	table	NOUN
fcis-13852	86	21	1	1	NUM
fcis-13852	86	22	:	:	PUNCT
fcis-13852	86	23	table	table	NOUN
fcis-13852	86	24	1	1	NUM
fcis-13852	86	25	.	.	PUNCT
fcis-13852	86	26	experimental	experimental	ADJ
fcis-13852	86	27	environment	environment	NOUN
fcis-13852	86	28	configuration	configuration	NOUN
fcis-13852	86	29	name	name	NOUN
fcis-13852	86	30	configuration	configuration	NOUN
fcis-13852	86	31	cpu	cpu	NOUN
fcis-13852	86	32	inter(r	inter(r	PROPN
fcis-13852	86	33	)	)	PUNCT
fcis-13852	86	34	core	core	NOUN
fcis-13852	86	35	(	(	PUNCT
fcis-13852	86	36	tm	tm	NOUN
fcis-13852	86	37	)	)	PUNCT
fcis-13852	86	38	i7	i7	NOUN
fcis-13852	86	39	-	-	PUNCT
fcis-13852	86	40	11700	11700	NUM
fcis-13852	86	41	@	@	ADP
fcis-13852	86	42	2.50ghz	2.50ghz	NUM
fcis-13852	86	43	gpu	gpu	PROPN
fcis-13852	86	44	nvidia	nvidia	PROPN
fcis-13852	86	45	rtx	rtx	PROPN
fcis-13852	86	46	a4000	a4000	ADJ
fcis-13852	86	47	stystem	stystem	NOUN
fcis-13852	86	48	windows	window	VERB
fcis-13852	86	49	10	10	NUM
fcis-13852	86	50	64	64	NUM
fcis-13852	86	51	-	-	PUNCT
fcis-13852	86	52	bit	bit	NOUN
fcis-13852	86	53	cuda	cuda	NOUN
fcis-13852	86	54	11.7.1	11.7.1	NOUN
fcis-13852	86	55	programming	programming	NOUN
fcis-13852	86	56	language	language	NOUN
fcis-13852	86	57	python	python	NOUN
fcis-13852	86	58	3.8	3.8	NUM
fcis-13852	86	59	deep	deep	ADJ
fcis-13852	86	60	learning	learning	NOUN
fcis-13852	86	61	framework	framework	NOUN
fcis-13852	86	62	pytorch	pytorch	NOUN
fcis-13852	86	63	1.13.1	1.13.1	NUM
fcis-13852	86	64	4.2	4.2	NUM
fcis-13852	86	65	.	.	PUNCT
fcis-13852	87	1	training	training	NOUN
fcis-13852	87	2	parameter	parameter	NOUN
fcis-13852	87	3	settings	setting	NOUN
fcis-13852	87	4	table	table	VERB
fcis-13852	87	5	2	2	NUM
fcis-13852	87	6	.	.	PUNCT
fcis-13852	87	7	training	training	NOUN
fcis-13852	87	8	parameter	parameter	NOUN
fcis-13852	87	9	settings	setting	NOUN
fcis-13852	87	10	training	train	VERB
fcis-13852	87	11	parameter	parameter	NOUN
fcis-13852	87	12	parameter	parameter	NOUN
fcis-13852	87	13	value	value	NOUN
fcis-13852	87	14	optimizer	optimizer	NOUN
fcis-13852	87	15	sgd	sgd	NOUN
fcis-13852	87	16	learning	learning	PROPN
fcis-13852	87	17	rate	rate	NOUN
fcis-13852	87	18	0.01	0.01	NUM
fcis-13852	87	19	momentum	momentum	NOUN
fcis-13852	87	20	parameter	parameter	NOUN
fcis-13852	87	21	0.937	0.937	NUM
fcis-13852	88	1	learning	learn	VERB
fcis-13852	88	2	rate	rate	NOUN
fcis-13852	88	3	attenuation	attenuation	NOUN
fcis-13852	88	4	0.0005	0.0005	NUM
fcis-13852	88	5	input	input	NOUN
fcis-13852	88	6	size	size	NOUN
fcis-13852	88	7	640×640	640×640	NUM
fcis-13852	88	8	batch	batch	NOUN
fcis-13852	88	9	size	size	NOUN
fcis-13852	88	10	4	4	NUM
fcis-13852	88	11	epoch	epoch	NOUN
fcis-13852	88	12	300	300	NUM
fcis-13852	88	13	the	the	DET
fcis-13852	88	14	configuration	configuration	NOUN
fcis-13852	88	15	of	of	ADP
fcis-13852	88	16	training	training	NOUN
fcis-13852	88	17	parameters	parameter	NOUN
fcis-13852	88	18	in	in	ADP
fcis-13852	88	19	the	the	DET
fcis-13852	88	20	experiment	experiment	NOUN
fcis-13852	88	21	is	be	AUX
fcis-13852	88	22	shown	show	VERB
fcis-13852	88	23	in	in	ADP
fcis-13852	88	24	the	the	DET
fcis-13852	88	25	table	table	NOUN
fcis-13852	88	26	2	2	NUM
fcis-13852	88	27	,	,	PUNCT
fcis-13852	88	28	and	and	CCONJ
fcis-13852	88	29	the	the	DET
fcis-13852	88	30	training	training	NOUN
fcis-13852	88	31	parameters	parameter	NOUN
fcis-13852	88	32	are	be	AUX
fcis-13852	88	33	consistent	consistent	ADJ
fcis-13852	88	34	in	in	ADP
fcis-13852	88	35	all	all	DET
fcis-13852	88	36	experimental	experimental	ADJ
fcis-13852	88	37	processes	process	NOUN
fcis-13852	88	38	.	.	PUNCT
fcis-13852	89	1	4.3	4.3	NUM
fcis-13852	89	2	.	.	PUNCT
fcis-13852	90	1	experimental	experimental	ADJ
fcis-13852	90	2	data	datum	NOUN
fcis-13852	90	3	set	set	VERB
fcis-13852	90	4	the	the	DET
fcis-13852	90	5	visdrone2019	visdrone2019	PROPN
fcis-13852	90	6	dataset	dataset	NOUN
fcis-13852	90	7	was	be	AUX
fcis-13852	90	8	collected	collect	VERB
fcis-13852	90	9	by	by	ADP
fcis-13852	90	10	aiskyeye	aiskyeye	NOUN
fcis-13852	90	11	team	team	NOUN
fcis-13852	90	12	of	of	ADP
fcis-13852	90	13	machine	machine	NOUN
fcis-13852	90	14	learning	learning	NOUN
fcis-13852	90	15	and	and	CCONJ
fcis-13852	90	16	data	datum	NOUN
fcis-13852	90	17	mining	mining	NOUN
fcis-13852	90	18	laboratory	laboratory	NOUN
fcis-13852	90	19	of	of	ADP
fcis-13852	90	20	tianjin	tianjin	PROPN
fcis-13852	90	21	university	university	PROPN
fcis-13852	90	22	.	.	PROPN
fcis-13852	91	1	captured	capture	VERB
fcis-13852	91	2	by	by	ADP
fcis-13852	91	3	a	a	DET
fcis-13852	91	4	variety	variety	NOUN
fcis-13852	91	5	of	of	ADP
fcis-13852	91	6	drone	drone	NOUN
fcis-13852	91	7	cameras	camera	NOUN
fcis-13852	91	8	,	,	PUNCT
fcis-13852	91	9	it	it	PRON
fcis-13852	91	10	covers	cover	VERB
fcis-13852	91	11	a	a	DET
fcis-13852	91	12	wide	wide	ADJ
fcis-13852	91	13	range	range	NOUN
fcis-13852	91	14	,	,	PUNCT
fcis-13852	91	15	including	include	VERB
fcis-13852	91	16	location	location	NOUN
fcis-13852	91	17	(	(	PUNCT
fcis-13852	91	18	from	from	ADP
fcis-13852	91	19	14	14	NUM
fcis-13852	91	20	different	different	ADJ
fcis-13852	91	21	cities	city	NOUN
fcis-13852	91	22	thousands	thousand	NOUN
fcis-13852	91	23	of	of	ADP
fcis-13852	91	24	kilometers	kilometer	NOUN
fcis-13852	91	25	apart	apart	ADV
fcis-13852	91	26	in	in	ADP
fcis-13852	91	27	china	china	PROPN
fcis-13852	91	28	)	)	PUNCT
fcis-13852	91	29	,	,	PUNCT
fcis-13852	91	30	environment	environment	NOUN
fcis-13852	91	31	(	(	PUNCT
fcis-13852	91	32	urban	urban	ADJ
fcis-13852	91	33	and	and	CCONJ
fcis-13852	91	34	rural	rural	ADJ
fcis-13852	91	35	)	)	PUNCT
fcis-13852	91	36	,	,	PUNCT
fcis-13852	91	37	objects	object	NOUN
fcis-13852	91	38	(	(	PUNCT
fcis-13852	91	39	pedestrians	pedestrian	NOUN
fcis-13852	91	40	,	,	PUNCT
fcis-13852	91	41	vehicles	vehicle	NOUN
fcis-13852	91	42	,	,	PUNCT
fcis-13852	91	43	bicycles	bicycle	NOUN
fcis-13852	91	44	,	,	PUNCT
fcis-13852	91	45	etc	etc	X
fcis-13852	91	46	.	.	X
fcis-13852	91	47	)	)	PUNCT
fcis-13852	91	48	,	,	PUNCT
fcis-13852	91	49	and	and	CCONJ
fcis-13852	91	50	density	density	NOUN
fcis-13852	91	51	(	(	PUNCT
fcis-13852	91	52	sparse	sparse	ADJ
fcis-13852	91	53	and	and	CCONJ
fcis-13852	91	54	crowded	crowded	ADJ
fcis-13852	91	55	scenes	scene	NOUN
fcis-13852	91	56	)	)	PUNCT
fcis-13852	91	57	.	.	PUNCT
fcis-13852	92	1	the	the	DET
fcis-13852	92	2	visdrone2019	visdrone2019	PROPN
fcis-13852	92	3	dataset	dataset	NOUN
fcis-13852	92	4	contains	contain	VERB
fcis-13852	92	5	10	10	NUM
fcis-13852	92	6	categories	category	NOUN
fcis-13852	92	7	of	of	ADP
fcis-13852	92	8	detection	detection	NOUN
fcis-13852	92	9	targets	target	NOUN
fcis-13852	92	10	.	.	PUNCT
fcis-13852	93	1	the	the	DET
fcis-13852	93	2	data	datum	NOUN
fcis-13852	93	3	set	set	NOUN
fcis-13852	93	4	contains	contain	VERB
fcis-13852	93	5	6471	6471	NUM
fcis-13852	93	6	images	image	NOUN
fcis-13852	93	7	of	of	ADP
fcis-13852	93	8	the	the	DET
fcis-13852	93	9	training	training	NOUN
fcis-13852	93	10	dataset	dataset	NOUN
fcis-13852	93	11	,	,	PUNCT
fcis-13852	93	12	548	548	NUM
fcis-13852	93	13	images	image	NOUN
fcis-13852	93	14	of	of	ADP
fcis-13852	93	15	the	the	DET
fcis-13852	93	16	verification	verification	NOUN
fcis-13852	93	17	dataset	dataset	NOUN
fcis-13852	93	18	,	,	PUNCT
fcis-13852	93	19	and	and	CCONJ
fcis-13852	93	20	1580	1580	NUM
fcis-13852	93	21	images	image	NOUN
fcis-13852	93	22	of	of	ADP
fcis-13852	93	23	the	the	DET
fcis-13852	93	24	test	test	NOUN
fcis-13852	93	25	dataset	dataset	NOUN
fcis-13852	93	26	.	.	PUNCT
fcis-13852	94	1	the	the	DET
fcis-13852	94	2	statistics	statistic	NOUN
fcis-13852	94	3	of	of	ADP
fcis-13852	94	4	the	the	DET
fcis-13852	94	5	number	number	NOUN
fcis-13852	94	6	of	of	ADP
fcis-13852	94	7	labels	label	NOUN
fcis-13852	94	8	in	in	ADP
fcis-13852	94	9	each	each	DET
fcis-13852	94	10	category	category	NOUN
fcis-13852	94	11	are	be	AUX
fcis-13852	94	12	shown	show	VERB
fcis-13852	94	13	in	in	ADP
fcis-13852	94	14	figure1	figure1	PROPN
fcis-13852	94	15	:	:	PUNCT
fcis-13852	94	16	figure	figure	NOUN
fcis-13852	94	17	1	1	NUM
fcis-13852	94	18	.	.	PUNCT
fcis-13852	95	1	label	label	NOUN
fcis-13852	95	2	statistics	statistic	NOUN
fcis-13852	95	3	of	of	ADP
fcis-13852	95	4	various	various	ADJ
fcis-13852	95	5	categories	category	NOUN
fcis-13852	95	6	in	in	ADP
fcis-13852	95	7	the	the	DET
fcis-13852	95	8	visdrone	visdrone	NOUN
fcis-13852	95	9	dataset	dataset	VERB
fcis-13852	95	10	4.4	4.4	NUM
fcis-13852	95	11	.	.	PUNCT
fcis-13852	96	1	evaluation	evaluation	NOUN
fcis-13852	96	2	indicators	indicator	NOUN
fcis-13852	96	3	in	in	ADP
fcis-13852	96	4	our	our	PRON
fcis-13852	96	5	experiment	experiment	NOUN
fcis-13852	96	6	,	,	PUNCT
fcis-13852	96	7	mean	mean	ADJ
fcis-13852	96	8	average	average	ADJ
fcis-13852	96	9	precision	precision	NOUN
fcis-13852	96	10	(	(	PUNCT
fcis-13852	96	11	map	map	NOUN
fcis-13852	96	12	)	)	PUNCT
fcis-13852	96	13	,	,	PUNCT
fcis-13852	96	14	precision	precision	NOUN
fcis-13852	96	15	(	(	PUNCT
fcis-13852	96	16	p	p	NOUN
fcis-13852	96	17	)	)	PUNCT
fcis-13852	96	18	and	and	CCONJ
fcis-13852	96	19	recall	recall	NOUN
fcis-13852	96	20	(	(	PUNCT
fcis-13852	96	21	r	r	NOUN
fcis-13852	96	22	)	)	PUNCT
fcis-13852	96	23	were	be	AUX
fcis-13852	96	24	used	use	VERB
fcis-13852	96	25	to	to	PART
fcis-13852	96	26	evaluate	evaluate	VERB
fcis-13852	96	27	the	the	DET
fcis-13852	96	28	detection	detection	NOUN
fcis-13852	96	29	performance	performance	NOUN
fcis-13852	96	30	of	of	ADP
fcis-13852	96	31	the	the	DET
fcis-13852	96	32	model	model	NOUN
fcis-13852	96	33	.	.	PUNCT
fcis-13852	97	1	(	(	PUNCT
fcis-13852	97	2	1	1	X
fcis-13852	97	3	)	)	PUNCT
fcis-13852	97	4	map	map	NOUN
fcis-13852	97	5	represents	represent	VERB
fcis-13852	97	6	the	the	DET
fcis-13852	97	7	average	average	ADJ
fcis-13852	97	8	accuracy	accuracy	NOUN
fcis-13852	97	9	of	of	ADP
fcis-13852	97	10	all	all	DET
fcis-13852	97	11	detection	detection	NOUN
fcis-13852	97	12	categories	category	NOUN
fcis-13852	97	13	,	,	PUNCT
fcis-13852	97	14	calculated	calculate	VERB
fcis-13852	97	15	as	as	SCONJ
fcis-13852	97	16	follows	follow	VERB
fcis-13852	97	17	:	:	PUNCT
fcis-13852	97	18			X
fcis-13852	97	19			NOUN
fcis-13852	98	1			NOUN
fcis-13852	99	1	c	c	VERB
fcis-13852	100	1	i	i	PRON
fcis-13852	100	2	iapc	iapc	PROPN
fcis-13852	100	3	map	map	VERB
fcis-13852	100	4	1	1	NUM
fcis-13852	100	5	1	1	NUM
fcis-13852	100	6	(	(	PUNCT
fcis-13852	100	7	8)	8)	NUM
fcis-13852	100	8	where	where	SCONJ
fcis-13852	100	9	c	c	PROPN
fcis-13852	100	10	represents	represent	VERB
fcis-13852	100	11	the	the	DET
fcis-13852	100	12	total	total	ADJ
fcis-13852	100	13	number	number	NOUN
fcis-13852	100	14	of	of	ADP
fcis-13852	100	15	detection	detection	NOUN
fcis-13852	100	16	categories	category	NOUN
fcis-13852	100	17	,	,	PUNCT
fcis-13852	100	18	i	i	PRON
fcis-13852	100	19	represents	represent	VERB
fcis-13852	100	20	the	the	DET
fcis-13852	100	21	number	number	NOUN
fcis-13852	100	22	of	of	ADP
fcis-13852	100	23	detection	detection	NOUN
fcis-13852	100	24	times	time	NOUN
fcis-13852	100	25	,	,	PUNCT
fcis-13852	100	26	ap	ap	PROPN
fcis-13852	100	27	is	be	AUX
fcis-13852	100	28	the	the	DET
fcis-13852	100	29	detection	detection	NOUN
fcis-13852	100	30	accuracy	accuracy	NOUN
fcis-13852	100	31	of	of	ADP
fcis-13852	100	32	a	a	DET
fcis-13852	100	33	single	single	ADJ
fcis-13852	100	34	category	category	NOUN
fcis-13852	100	35	,	,	PUNCT
fcis-13852	100	36	and	and	CCONJ
fcis-13852	100	37	map	map	NOUN
fcis-13852	100	38	is	be	AUX
fcis-13852	100	39	obtained	obtain	VERB
fcis-13852	100	40	by	by	ADP
fcis-13852	100	41	adding	add	VERB
fcis-13852	100	42	the	the	DET
fcis-13852	100	43	average	average	ADJ
fcis-13852	100	44	ap	ap	PROPN
fcis-13852	100	45	of	of	ADP
fcis-13852	100	46	detection	detection	NOUN
fcis-13852	100	47	accuracy	accuracy	NOUN
fcis-13852	100	48	of	of	ADP
fcis-13852	100	49	all	all	DET
fcis-13852	100	50	categories	category	NOUN
fcis-13852	100	51	.	.	PUNCT
fcis-13852	101	1	map@0.5	map@0.5	NOUN
fcis-13852	101	2	indicates	indicate	VERB
fcis-13852	101	3	the	the	DET
fcis-13852	101	4	average	average	ADJ
fcis-13852	101	5	accuracy	accuracy	NOUN
fcis-13852	101	6	when	when	SCONJ
fcis-13852	101	7	the	the	DET
fcis-13852	101	8	iou	iou	NOUN
fcis-13852	101	9	threshold	threshold	NOUN
fcis-13852	101	10	is	be	AUX
fcis-13852	101	11	set	set	VERB
fcis-13852	101	12	to	to	ADP
fcis-13852	101	13	0.5	0.5	NUM
fcis-13852	101	14	.	.	PUNCT
fcis-13852	102	1	(	(	PUNCT
fcis-13852	102	2	2	2	X
fcis-13852	102	3	)	)	PUNCT
fcis-13852	102	4	p	p	NOUN
fcis-13852	102	5	(	(	PUNCT
fcis-13852	102	6	precision	precision	NOUN
fcis-13852	102	7	)	)	PUNCT
fcis-13852	102	8	represents	represent	VERB
fcis-13852	102	9	the	the	DET
fcis-13852	102	10	accuracy	accuracy	NOUN
fcis-13852	102	11	of	of	ADP
fcis-13852	102	12	the	the	DET
fcis-13852	102	13	model	model	NOUN
fcis-13852	102	14	detection	detection	NOUN
fcis-13852	102	15	target	target	NOUN
fcis-13852	102	16	.	.	PUNCT
fcis-13852	103	1	the	the	DET
fcis-13852	103	2	calculation	calculation	NOUN
fcis-13852	103	3	formula	formula	NOUN
fcis-13852	103	4	is	be	AUX
fcis-13852	103	5	as	as	SCONJ
fcis-13852	103	6	follows	follow	VERB
fcis-13852	103	7	:	:	PUNCT
fcis-13852	103	8	%	%	INTJ
fcis-13852	103	9	100	100	NOUN
fcis-13852	103	10			SYM
fcis-13852	104	1			PROPN
fcis-13852	104	2	fptp	fptp	PROPN
fcis-13852	104	3	tp	tp	X
fcis-13852	104	4	p	p	X
fcis-13852	104	5	(	(	PUNCT
fcis-13852	104	6	9	9	NUM
fcis-13852	104	7	)	)	PUNCT
fcis-13852	104	8	where	where	SCONJ
fcis-13852	104	9	tp	tp	NOUN
fcis-13852	104	10	represents	represent	VERB
fcis-13852	104	11	the	the	DET
fcis-13852	104	12	number	number	NOUN
fcis-13852	104	13	of	of	ADP
fcis-13852	104	14	positive	positive	ADJ
fcis-13852	104	15	samples	sample	NOUN
fcis-13852	104	16	for	for	ADP
fcis-13852	104	17	correct	correct	ADJ
fcis-13852	104	18	classification	classification	NOUN
fcis-13852	104	19	,	,	PUNCT
fcis-13852	104	20	and	and	CCONJ
fcis-13852	104	21	fp	fp	PROPN
fcis-13852	104	22	represents	represent	VERB
fcis-13852	104	23	the	the	DET
fcis-13852	104	24	number	number	NOUN
fcis-13852	104	25	of	of	ADP
fcis-13852	104	26	negative	negative	ADJ
fcis-13852	104	27	samples	sample	NOUN
fcis-13852	104	28	for	for	ADP
fcis-13852	104	29	false	false	ADJ
fcis-13852	104	30	detection	detection	NOUN
fcis-13852	104	31	.	.	PUNCT
fcis-13852	105	1	(	(	PUNCT
fcis-13852	105	2	3	3	X
fcis-13852	105	3	)	)	PUNCT
fcis-13852	105	4	r	r	NOUN
fcis-13852	105	5	(	(	PUNCT
fcis-13852	105	6	recall	recall	NOUN
fcis-13852	105	7	):	):	PUNCT
fcis-13852	105	8	49	49	NUM
fcis-13852	105	9	%	%	NOUN
fcis-13852	105	10	100	100	NUM
fcis-13852	105	11			ADV
fcis-13852	105	12			PROPN
fcis-13852	105	13	fntp	fntp	NOUN
fcis-13852	105	14	tp	tp	ADP
fcis-13852	105	15	r	r	NOUN
fcis-13852	105	16	(	(	PUNCT
fcis-13852	105	17	10	10	NUM
fcis-13852	105	18	)	)	PUNCT
fcis-13852	105	19	fn	fn	NOUN
fcis-13852	105	20	indicates	indicate	VERB
fcis-13852	105	21	the	the	DET
fcis-13852	105	22	number	number	NOUN
fcis-13852	105	23	of	of	ADP
fcis-13852	105	24	positive	positive	ADJ
fcis-13852	105	25	samples	sample	NOUN
fcis-13852	105	26	missed	miss	VERB
fcis-13852	105	27	.	.	PUNCT
fcis-13852	106	1	4.5	4.5	NUM
fcis-13852	106	2	.	.	PUNCT
fcis-13852	107	1	comparative	comparative	ADJ
fcis-13852	107	2	experiment	experiment	NOUN
fcis-13852	107	3	of	of	ADP
fcis-13852	107	4	different	different	ADJ
fcis-13852	107	5	loss	loss	NOUN
fcis-13852	107	6	functions	function	NOUN
fcis-13852	107	7	in	in	ADP
fcis-13852	107	8	the	the	DET
fcis-13852	107	9	experiment	experiment	NOUN
fcis-13852	107	10	,	,	PUNCT
fcis-13852	107	11	eiou	eiou	NOUN
fcis-13852	107	12	,	,	PUNCT
fcis-13852	107	13	siou	siou	NOUN
fcis-13852	107	14	,	,	PUNCT
fcis-13852	107	15	wiouv1	wiouv1	PROPN
fcis-13852	107	16	,	,	PUNCT
fcis-13852	107	17	wiouv2	wiouv2	VERB
fcis-13852	107	18	,	,	PUNCT
fcis-13852	107	19	wiouv3	wiouv3	NOUN
fcis-13852	107	20	were	be	AUX
fcis-13852	107	21	selected	select	VERB
fcis-13852	107	22	to	to	PART
fcis-13852	107	23	compare	compare	VERB
fcis-13852	107	24	with	with	ADP
fcis-13852	107	25	ciou	ciou	NOUN
fcis-13852	107	26	in	in	ADP
fcis-13852	107	27	the	the	DET
fcis-13852	107	28	original	original	ADJ
fcis-13852	107	29	yolov8	yolov8	NOUN
fcis-13852	107	30	model	model	NOUN
fcis-13852	107	31	to	to	PART
fcis-13852	107	32	verify	verify	VERB
fcis-13852	107	33	the	the	DET
fcis-13852	107	34	influence	influence	NOUN
fcis-13852	107	35	of	of	ADP
fcis-13852	107	36	different	different	ADJ
fcis-13852	107	37	loss	loss	NOUN
fcis-13852	107	38	functions	function	NOUN
fcis-13852	107	39	on	on	ADP
fcis-13852	107	40	the	the	DET
fcis-13852	107	41	model	model	NOUN
fcis-13852	107	42	performance	performance	NOUN
fcis-13852	107	43	.	.	PUNCT
fcis-13852	108	1	the	the	DET
fcis-13852	108	2	experimental	experimental	ADJ
fcis-13852	108	3	results	result	NOUN
fcis-13852	108	4	are	be	AUX
fcis-13852	108	5	shown	show	VERB
fcis-13852	108	6	in	in	ADP
fcis-13852	108	7	the	the	DET
fcis-13852	108	8	table	table	NOUN
fcis-13852	108	9	3	3	NUM
fcis-13852	108	10	:	:	PUNCT
fcis-13852	108	11	table	table	NOUN
fcis-13852	108	12	3	3	NUM
fcis-13852	108	13	.	.	PUNCT
fcis-13852	108	14	comparison	comparison	NOUN
fcis-13852	108	15	of	of	ADP
fcis-13852	108	16	loss	loss	NOUN
fcis-13852	108	17	function	function	NOUN
fcis-13852	108	18	loss	loss	NOUN
fcis-13852	108	19	function	function	NOUN
fcis-13852	108	20	map@0.5	map@0.5	NOUN
fcis-13852	108	21	p	p	NOUN
fcis-13852	108	22	r	r	NOUN
fcis-13852	108	23	ciou	ciou	NOUN
fcis-13852	108	24	0.401	0.401	NUM
fcis-13852	108	25	0.498	0.498	NUM
fcis-13852	108	26	0.393	0.393	NUM
fcis-13852	108	27	eiou	eiou	NOUN
fcis-13852	108	28	0.401	0.401	NUM
fcis-13852	108	29	0.518	0.518	NUM
fcis-13852	108	30	0.391	0.391	NUM
fcis-13852	108	31	siou	siou	NOUN
fcis-13852	108	32	0.402	0.402	NUM
fcis-13852	108	33	0.517	0.517	NUM
fcis-13852	108	34	0.388	0.388	NUM
fcis-13852	108	35	wiouv1	wiouv1	NOUN
fcis-13852	108	36	0.396	0.396	NUM
fcis-13852	108	37	0.504	0.504	NUM
fcis-13852	108	38	0.386	0.386	NUM
fcis-13852	108	39	wiouv2	wiouv2	NOUN
fcis-13852	108	40	0.406	0.406	NUM
fcis-13852	108	41	0.517	0.517	NUM
fcis-13852	108	42	0.392	0.392	NUM
fcis-13852	108	43	wiouv3	wiouv3	NOUN
fcis-13852	108	44	0.407	0.407	NUM
fcis-13852	108	45	0.512	0.512	NUM
fcis-13852	108	46	0.393	0.393	NUM
fcis-13852	108	47	ciou	ciou	NOUN
fcis-13852	108	48	is	be	AUX
fcis-13852	108	49	the	the	DET
fcis-13852	108	50	original	original	ADJ
fcis-13852	108	51	loss	loss	NOUN
fcis-13852	108	52	function	function	NOUN
fcis-13852	108	53	in	in	ADP
fcis-13852	108	54	yolov8	yolov8	PROPN
fcis-13852	108	55	,	,	PUNCT
fcis-13852	108	56	and	and	CCONJ
fcis-13852	108	57	map@0.5	map@0.5	VERB
fcis-13852	108	58	in	in	ADP
fcis-13852	108	59	visdrone2019	visdrone2019	PROPN
fcis-13852	108	60	dataset	dataset	NOUN
fcis-13852	108	61	is	be	AUX
fcis-13852	108	62	0.401	0.401	NUM
fcis-13852	108	63	.	.	PUNCT
fcis-13852	109	1	compared	compare	VERB
fcis-13852	109	2	with	with	ADP
fcis-13852	109	3	eiou	eiou	NOUN
fcis-13852	109	4	,	,	PUNCT
fcis-13852	109	5	siou	siou	NOUN
fcis-13852	109	6	,	,	PUNCT
fcis-13852	109	7	wiouv1	wiouv1	NOUN
fcis-13852	109	8	and	and	CCONJ
fcis-13852	109	9	wiouv2	wiouv2	PROPN
fcis-13852	109	10	,	,	PUNCT
fcis-13852	109	11	wiouv3	wiouv3	NOUN
fcis-13852	109	12	has	have	VERB
fcis-13852	109	13	the	the	DET
fcis-13852	109	14	most	most	ADV
fcis-13852	109	15	obvious	obvious	ADJ
fcis-13852	109	16	improvement	improvement	NOUN
fcis-13852	109	17	effect	effect	NOUN
fcis-13852	109	18	on	on	ADP
fcis-13852	109	19	model	model	NOUN
fcis-13852	109	20	performance	performance	NOUN
fcis-13852	109	21	,	,	PUNCT
fcis-13852	109	22	with	with	ADP
fcis-13852	109	23	map@0.5	map@0.5	NOUN
fcis-13852	109	24	increasing	increase	VERB
fcis-13852	109	25	by	by	ADP
fcis-13852	109	26	0.6	0.6	NUM
fcis-13852	109	27	percentage	percentage	NOUN
fcis-13852	109	28	points	point	NOUN
fcis-13852	109	29	.	.	PUNCT
fcis-13852	110	1	that	that	PRON
fcis-13852	110	2	's	be	AUX
fcis-13852	110	3	40.7	40.7	NUM
fcis-13852	110	4	percent	percent	NOUN
fcis-13852	110	5	.	.	PUNCT
fcis-13852	111	1	table	table	NOUN
fcis-13852	111	2	4	4	NUM
fcis-13852	111	3	shows	show	VERB
fcis-13852	111	4	the	the	DET
fcis-13852	111	5	comparison	comparison	NOUN
fcis-13852	111	6	of	of	ADP
fcis-13852	111	7	the	the	DET
fcis-13852	111	8	precision	precision	NOUN
fcis-13852	111	9	of	of	ADP
fcis-13852	111	10	various	various	ADJ
fcis-13852	111	11	classes	class	NOUN
fcis-13852	111	12	after	after	ADP
fcis-13852	111	13	the	the	DET
fcis-13852	111	14	improvement	improvement	NOUN
fcis-13852	111	15	of	of	ADP
fcis-13852	111	16	wiouv3	wiouv3	NOUN
fcis-13852	111	17	loss	loss	NOUN
fcis-13852	111	18	function	function	NOUN
fcis-13852	111	19	.	.	PUNCT
fcis-13852	112	1	figure	figure	NOUN
fcis-13852	112	2	2	2	NUM
fcis-13852	112	3	shows	show	VERB
fcis-13852	112	4	a	a	DET
fcis-13852	112	5	comparison	comparison	NOUN
fcis-13852	112	6	of	of	ADP
fcis-13852	112	7	the	the	DET
fcis-13852	112	8	improved	improved	ADJ
fcis-13852	112	9	model	model	NOUN
fcis-13852	112	10	detection	detection	NOUN
fcis-13852	112	11	performance	performance	NOUN
fcis-13852	112	12	.	.	PUNCT
fcis-13852	113	1	table	table	NOUN
fcis-13852	113	2	4	4	NUM
fcis-13852	113	3	.	.	PUNCT
fcis-13852	113	4	comparison	comparison	NOUN
fcis-13852	113	5	of	of	ADP
fcis-13852	113	6	improved	improved	ADJ
fcis-13852	113	7	wiouv3	wiouv3	NOUN
fcis-13852	113	8	detection	detection	NOUN
fcis-13852	113	9	performance	performance	NOUN
fcis-13852	113	10	by	by	ADP
fcis-13852	113	11	category	category	NOUN
fcis-13852	113	12	detection	detection	NOUN
fcis-13852	113	13	category	category	NOUN
fcis-13852	113	14	yolov8s	yolov8s	PROPN
fcis-13852	114	1	yolov8s+wiou	yolov8s+wiou	PROPN
fcis-13852	114	2	pedestrian	pedestrian	NOUN
fcis-13852	114	3	0.405	0.405	NUM
fcis-13852	114	4	0.501	0.501	NUM
fcis-13852	114	5	people	people	NOUN
fcis-13852	114	6	0.319	0.319	NUM
fcis-13852	114	7	0.38	0.38	NUM
fcis-13852	114	8	bicycle	bicycle	NOUN
fcis-13852	114	9	0.103	0.103	NUM
fcis-13852	114	10	0.173	0.173	NUM
fcis-13852	114	11	car	car	NOUN
fcis-13852	114	12	0.738	0.738	NUM
fcis-13852	114	13	0.823	0.823	NUM
fcis-13852	114	14	van	van	PROPN
fcis-13852	114	15	0.355	0.355	NUM
fcis-13852	114	16	0.445	0.445	NUM
fcis-13852	114	17	truck	truck	NOUN
fcis-13852	114	18	0.283	0.283	NUM
fcis-13852	114	19	0.354	0.354	NUM
fcis-13852	114	20	tricycle	tricycle	NOUN
fcis-13852	114	21	0.199	0.199	NUM
fcis-13852	114	22	0.275	0.275	NUM
fcis-13852	114	23	awning	awning	NOUN
fcis-13852	114	24	-	-	PUNCT
fcis-13852	114	25	tricycle	tricycle	NOUN
fcis-13852	114	26	0.107	0.107	NUM
fcis-13852	114	27	0.138	0.138	NUM
fcis-13852	114	28	bus	bus	NOUN
fcis-13852	114	29	0.43	0.43	NUM
fcis-13852	114	30	0.542	0.542	NUM
fcis-13852	114	31	motor	motor	NOUN
fcis-13852	114	32	0.391	0.391	NUM
fcis-13852	114	33	0.47	0.47	NUM
fcis-13852	114	34	all	all	DET
fcis-13852	114	35	0.333	0.333	NUM
fcis-13852	114	36	0.41	0.41	NUM
fcis-13852	114	37	(	(	PUNCT
fcis-13852	114	38	a	a	NOUN
fcis-13852	114	39	)	)	PUNCT
fcis-13852	114	40	yolov8s	yolov8	NOUN
fcis-13852	114	41	(	(	PUNCT
fcis-13852	114	42	b	b	NOUN
fcis-13852	114	43	)	)	PUNCT
fcis-13852	114	44	yolov8s	yolov8	NOUN
fcis-13852	114	45	-	-	PUNCT
fcis-13852	114	46	wiouv3	wiouv3	NOUN
fcis-13852	114	47	figure	figure	NOUN
fcis-13852	114	48	2	2	NUM
fcis-13852	114	49	.	.	PUNCT
fcis-13852	114	50	comparison	comparison	NOUN
fcis-13852	114	51	of	of	ADP
fcis-13852	114	52	model	model	NOUN
fcis-13852	114	53	detection	detection	NOUN
fcis-13852	114	54	performance	performance	NOUN
fcis-13852	114	55	before	before	ADP
fcis-13852	114	56	and	and	CCONJ
fcis-13852	114	57	after	after	ADP
fcis-13852	114	58	improvement	improvement	NOUN
fcis-13852	114	59	5	5	NUM
fcis-13852	114	60	.	.	PUNCT
fcis-13852	114	61	conclusion	conclusion	NOUN
fcis-13852	114	62	in	in	ADP
fcis-13852	114	63	this	this	DET
fcis-13852	114	64	paper	paper	NOUN
fcis-13852	114	65	,	,	PUNCT
fcis-13852	114	66	an	an	DET
fcis-13852	114	67	improved	improved	ADJ
fcis-13852	114	68	small	small	ADJ
fcis-13852	114	69	target	target	NOUN
fcis-13852	114	70	detection	detection	NOUN
fcis-13852	114	71	algorithm	algorithm	NOUN
fcis-13852	114	72	for	for	SCONJ
fcis-13852	114	73	uav	uav	PROPN
fcis-13852	114	74	aerial	aerial	ADJ
fcis-13852	114	75	photography	photography	NOUN
fcis-13852	114	76	based	base	VERB
fcis-13852	114	77	on	on	ADP
fcis-13852	114	78	yolov8s	yolov8	NOUN
fcis-13852	114	79	is	be	AUX
fcis-13852	114	80	designed	design	VERB
fcis-13852	114	81	.	.	PUNCT
fcis-13852	115	1	replacing	replace	VERB
fcis-13852	115	2	the	the	DET
fcis-13852	115	3	loss	loss	NOUN
fcis-13852	115	4	function	function	NOUN
fcis-13852	115	5	with	with	ADP
fcis-13852	115	6	wiouv3	wiouv3	NOUN
fcis-13852	115	7	reduces	reduce	VERB
fcis-13852	115	8	the	the	DET
fcis-13852	115	9	loss	loss	NOUN
fcis-13852	115	10	of	of	ADP
fcis-13852	115	11	regression	regression	NOUN
fcis-13852	115	12	positioning	positioning	NOUN
fcis-13852	115	13	during	during	ADP
fcis-13852	115	14	training	training	NOUN
fcis-13852	115	15	and	and	CCONJ
fcis-13852	115	16	improves	improve	VERB
fcis-13852	115	17	the	the	DET
fcis-13852	115	18	regression	regression	NOUN
fcis-13852	115	19	accuracy	accuracy	NOUN
fcis-13852	115	20	of	of	ADP
fcis-13852	115	21	the	the	DET
fcis-13852	115	22	model	model	NOUN
fcis-13852	115	23	.	.	PUNCT
fcis-13852	116	1	the	the	DET
fcis-13852	116	2	experimental	experimental	ADJ
fcis-13852	116	3	results	result	NOUN
fcis-13852	116	4	show	show	VERB
fcis-13852	116	5	that	that	SCONJ
fcis-13852	116	6	the	the	DET
fcis-13852	116	7	improved	improved	ADJ
fcis-13852	116	8	model	model	NOUN
fcis-13852	116	9	map@0.5	map@0.5	VERB
fcis-13852	116	10	increases	increase	NOUN
fcis-13852	116	11	by	by	ADP
fcis-13852	116	12	0.6	0.6	NUM
fcis-13852	116	13	percentage	percentage	NOUN
fcis-13852	116	14	points	point	NOUN
fcis-13852	116	15	,	,	PUNCT
fcis-13852	116	16	reaching	reach	VERB
fcis-13852	116	17	40.7	40.7	NUM
fcis-13852	116	18	%	%	NOUN
fcis-13852	116	19	.	.	PUNCT
fcis-13852	117	1	in	in	ADP
fcis-13852	117	2	the	the	DET
fcis-13852	117	3	follow	follow	VERB
fcis-13852	117	4	-	-	PUNCT
fcis-13852	117	5	up	up	ADP
fcis-13852	117	6	study	study	NOUN
fcis-13852	117	7	,	,	PUNCT
fcis-13852	117	8	targeted	target	VERB
fcis-13852	117	9	optimization	optimization	NOUN
fcis-13852	117	10	of	of	ADP
fcis-13852	117	11	the	the	DET
fcis-13852	117	12	network	network	NOUN
fcis-13852	117	13	structure	structure	NOUN
fcis-13852	117	14	will	will	AUX
fcis-13852	117	15	be	be	AUX
fcis-13852	117	16	continued	continue	VERB
fcis-13852	117	17	,	,	PUNCT
fcis-13852	117	18	and	and	CCONJ
fcis-13852	117	19	the	the	DET
fcis-13852	117	20	number	number	NOUN
fcis-13852	117	21	of	of	ADP
fcis-13852	117	22	parameters	parameter	NOUN
fcis-13852	117	23	will	will	AUX
fcis-13852	117	24	be	be	AUX
fcis-13852	117	25	reduced	reduce	VERB
fcis-13852	117	26	to	to	PART
fcis-13852	117	27	achieve	achieve	VERB
fcis-13852	117	28	the	the	DET
fcis-13852	117	29	purpose	purpose	NOUN
fcis-13852	117	30	of	of	ADP
fcis-13852	117	31	lightweight	lightweight	ADJ
fcis-13852	117	32	model	model	NOUN
fcis-13852	117	33	,	,	PUNCT
fcis-13852	117	34	so	so	SCONJ
fcis-13852	117	35	as	as	SCONJ
fcis-13852	117	36	to	to	PART
fcis-13852	117	37	better	well	ADV
fcis-13852	117	38	apply	apply	VERB
fcis-13852	117	39	and	and	CCONJ
fcis-13852	117	40	deploy	deploy	VERB
fcis-13852	117	41	on	on	ADP
fcis-13852	117	42	edge	edge	NOUN
fcis-13852	117	43	devices	device	NOUN
fcis-13852	117	44	with	with	ADP
fcis-13852	117	45	limited	limited	ADJ
fcis-13852	117	46	computing	computing	NOUN
fcis-13852	117	47	power	power	NOUN
fcis-13852	117	48	.	.	PUNCT
fcis-13852	118	1	50	50	NUM
fcis-13852	118	2	references	reference	NOUN
fcis-13852	118	3	[	[	X
fcis-13852	118	4	1	1	NUM
fcis-13852	118	5	]	]	X
fcis-13852	118	6	ren	ren	PROPN
fcis-13852	118	7	s	s	PROPN
fcis-13852	118	8	,	,	PUNCT
fcis-13852	118	9	he	he	PRON
fcis-13852	118	10	k	k	NOUN
fcis-13852	118	11	,	,	PUNCT
fcis-13852	118	12	girshick	girshick	NOUN
fcis-13852	118	13	r	r	NOUN
fcis-13852	118	14	,	,	PUNCT
fcis-13852	118	15	et	et	PROPN
fcis-13852	118	16	al	al	PROPN
fcis-13852	118	17	.	.	PUNCT
fcis-13852	119	1	faster	fast	ADJ
fcis-13852	119	2	r	r	NOUN
fcis-13852	119	3	-	-	PUNCT
fcis-13852	119	4	cnn	cnn	NOUN
fcis-13852	119	5	:	:	PUNCT
fcis-13852	119	6	towards	towards	ADP
fcis-13852	119	7	realtime	realtime	ADJ
fcis-13852	119	8	object	object	NOUN
fcis-13852	119	9	detection	detection	NOUN
fcis-13852	119	10	with	with	ADP
fcis-13852	119	11	region	region	NOUN
fcis-13852	119	12	proposal	proposal	NOUN
fcis-13852	119	13	networks[j	networks[j	PROPN
fcis-13852	119	14	]	]	X
fcis-13852	119	15	.	.	PUNCT
fcis-13852	120	1	ieee	ieee	NOUN
fcis-13852	120	2	transactions	transaction	NOUN
fcis-13852	120	3	on	on	ADP
fcis-13852	120	4	pattern	pattern	NOUN
fcis-13852	120	5	analysis	analysis	NOUN
fcis-13852	120	6	&	&	CCONJ
fcis-13852	120	7	machine	machine	NOUN
fcis-13852	120	8	intelligence	intelligence	NOUN
fcis-13852	120	9	,	,	PUNCT
fcis-13852	120	10	2017	2017	NUM
fcis-13852	120	11	,	,	PUNCT
fcis-13852	120	12	39(6):1137	39(6):1137	NUM
fcis-13852	120	13	-	-	SYM
fcis-13852	120	14	1149	1149	NUM
fcis-13852	120	15	.	.	PUNCT
fcis-13852	121	1	[	[	X
fcis-13852	121	2	2	2	NUM
fcis-13852	121	3	]	]	X
fcis-13852	121	4	berg	berg	PROPN
fcis-13852	121	5	a	a	DET
fcis-13852	121	6	c	c	PROPN
fcis-13852	121	7	,	,	PUNCT
fcis-13852	121	8	fu	fu	PROPN
fcis-13852	121	9	c	c	PROPN
fcis-13852	121	10	y	y	PROPN
fcis-13852	121	11	,	,	PUNCT
fcis-13852	121	12	szegedy	szegedy	VERB
fcis-13852	121	13	c	c	NOUN
fcis-13852	121	14	,	,	PUNCT
fcis-13852	121	15	et	et	PROPN
fcis-13852	121	16	al	al	PROPN
fcis-13852	121	17	.	.	PROPN
fcis-13852	121	18	ssd	ssd	PROPN
fcis-13852	121	19	:	:	PUNCT
fcis-13852	121	20	single	single	ADJ
fcis-13852	121	21	shot	shot	NOUN
fcis-13852	121	22	multibox	multibox	PROPN
fcis-13852	121	23	detector:,10.1007/978	detector:,10.1007/978	PROPN
fcis-13852	121	24	-	-	PUNCT
fcis-13852	121	25	3	3	NUM
fcis-13852	121	26	-	-	NUM
fcis-13852	121	27	319	319	NUM
fcis-13852	121	28	-	-	PUNCT
fcis-13852	121	29	46448	46448	NUM
fcis-13852	121	30	-	-	SYM
fcis-13852	121	31	0_2[p	0_2[p	PROPN
fcis-13852	121	32	]	]	PUNCT
fcis-13852	121	33	.	.	PUNCT
fcis-13852	122	1	2015	2015	NUM
fcis-13852	122	2	.	.	PUNCT
fcis-13852	123	1	[	[	X
fcis-13852	123	2	3	3	X
fcis-13852	123	3	]	]	X
fcis-13852	123	4	redmon	redmon	PROPN
fcis-13852	123	5	j	j	PROPN
fcis-13852	123	6	,	,	PUNCT
fcis-13852	123	7	divvala	divvala	PROPN
fcis-13852	123	8	s	s	PROPN
fcis-13852	123	9	,	,	PUNCT
fcis-13852	123	10	girshick	girshick	ADJ
fcis-13852	123	11	r	r	NOUN
fcis-13852	123	12	,	,	PUNCT
fcis-13852	123	13	et	et	PROPN
fcis-13852	123	14	al	al	PROPN
fcis-13852	123	15	.	.	PUNCT
fcis-13852	124	1	you	you	PRON
fcis-13852	124	2	only	only	ADV
fcis-13852	124	3	look	look	VERB
fcis-13852	124	4	once	once	ADV
fcis-13852	124	5	:	:	PUNCT
fcis-13852	124	6	unified	unified	ADJ
fcis-13852	124	7	,	,	PUNCT
fcis-13852	124	8	real	real	ADJ
fcis-13852	124	9	-	-	PUNCT
fcis-13852	124	10	time	time	NOUN
fcis-13852	124	11	object	object	NOUN
fcis-13852	124	12	detection[j	detection[j	PROPN
fcis-13852	124	13	]	]	PUNCT
fcis-13852	124	14	.	.	PUNCT
fcis-13852	125	1	ieee	ieee	PROPN
fcis-13852	125	2	,	,	PUNCT
fcis-13852	125	3	2016	2016	NUM
fcis-13852	125	4	.	.	PUNCT
fcis-13852	126	1	[	[	X
fcis-13852	126	2	4	4	X
fcis-13852	126	3	]	]	X
fcis-13852	126	4	zheng	zheng	PROPN
fcis-13852	126	5	z	z	PROPN
fcis-13852	126	6	,	,	PUNCT
fcis-13852	126	7	wang	wang	PROPN
fcis-13852	126	8	p	p	PROPN
fcis-13852	126	9	,	,	PUNCT
fcis-13852	126	10	ren	ren	PROPN
fcis-13852	126	11	d	d	PROPN
fcis-13852	126	12	,	,	PUNCT
fcis-13852	126	13	et	et	PROPN
fcis-13852	126	14	al	al	PROPN
fcis-13852	126	15	.	.	PUNCT
fcis-13852	126	16	enhancing	enhance	VERB
fcis-13852	126	17	geometric	geometric	ADJ
fcis-13852	126	18	factors	factor	NOUN
fcis-13852	126	19	in	in	ADP
fcis-13852	126	20	model	model	NOUN
fcis-13852	126	21	learning	learning	NOUN
fcis-13852	126	22	and	and	CCONJ
fcis-13852	126	23	inference	inference	NOUN
fcis-13852	126	24	for	for	ADP
fcis-13852	126	25	object	object	NOUN
fcis-13852	126	26	detection	detection	NOUN
fcis-13852	126	27	and	and	CCONJ
fcis-13852	126	28	instance	instance	NOUN
fcis-13852	126	29	segmentation[j	segmentation[j	PROPN
fcis-13852	126	30	]	]	PUNCT
fcis-13852	126	31	.	.	PUNCT
fcis-13852	127	1	2020	2020	NUM
fcis-13852	127	2	.	.	PUNCT
fcis-13852	128	1	[	[	X
fcis-13852	128	2	5	5	NUM
fcis-13852	128	3	]	]	PUNCT
fcis-13852	128	4	tong	tong	PROPN
fcis-13852	128	5	z	z	PROPN
fcis-13852	128	6	,	,	PUNCT
fcis-13852	128	7	chen	chen	PROPN
fcis-13852	128	8	y	y	PROPN
fcis-13852	128	9	,	,	PUNCT
fcis-13852	128	10	xu	xu	PROPN
fcis-13852	129	1	z	z	X
fcis-13852	129	2	,	,	PUNCT
fcis-13852	129	3	et	et	PROPN
fcis-13852	129	4	al	al	PROPN
fcis-13852	129	5	.	.	PUNCT
fcis-13852	130	1	wise	wise	PROPN
fcis-13852	130	2	-	-	PUNCT
fcis-13852	130	3	io	io	NOUN
fcis-13852	130	4	u	u	NOUN
fcis-13852	130	5	:	:	PUNCT
fcis-13852	130	6	bounding	bound	VERB
fcis-13852	130	7	box	box	NOUN
fcis-13852	130	8	regression	regression	NOUN
fcis-13852	130	9	loss	loss	NOUN
fcis-13852	130	10	with	with	ADP
fcis-13852	130	11	dynamic	dynamic	ADJ
fcis-13852	130	12	focusing	focus	VERB
fcis-13852	130	13	mechanism[j	mechanism[j	PROPN
fcis-13852	130	14	]	]	PUNCT
fcis-13852	130	15	.	.	PUNCT
fcis-13852	131	1	ar	ar	PROPN
fcis-13852	131	2	xiv	xiv	PROPN
fcis-13852	131	3	preprint	preprint	PROPN
fcis-13852	131	4	ar	ar	PROPN
fcis-13852	131	5	xiv:2301.10051	xiv:2301.10051	PROPN
fcis-13852	131	6	,	,	PUNCT
fcis-13852	131	7	2023	2023	NUM
fcis-13852	131	8	[	[	X
fcis-13852	131	9	6	6	NUM
fcis-13852	131	10	]	]	PUNCT
fcis-13852	131	11	bochkovskiy	bochkovskiy	X
fcis-13852	131	12	a	a	PRON
fcis-13852	131	13	,	,	PUNCT
fcis-13852	131	14	wang	wang	PROPN
fcis-13852	131	15	c	c	PROPN
fcis-13852	131	16	y	y	PROPN
fcis-13852	131	17	,	,	PUNCT
fcis-13852	131	18	liao	liao	PROPN
fcis-13852	131	19	h	h	PROPN
fcis-13852	132	1	y	y	PROPN
fcis-13852	132	2	m	m	PROPN
fcis-13852	132	3	.yolov4	.yolov4	NOUN
fcis-13852	132	4	:	:	PUNCT
fcis-13852	133	1	optimal	optimal	ADJ
fcis-13852	133	2	speed	speed	NOUN
fcis-13852	133	3	and	and	CCONJ
fcis-13852	133	4	accuracy	accuracy	NOUN
fcis-13852	133	5	of	of	ADP
fcis-13852	133	6	object	object	NOUN
fcis-13852	133	7	detection[j	detection[j	PROPN
fcis-13852	133	8	]	]	PUNCT
fcis-13852	133	9	.	.	PUNCT
fcis-13852	134	1	2020	2020	NUM
fcis-13852	134	2	.	.	PUNCT
fcis-13852	135	1	doi	doi	NOUN
fcis-13852	135	2	:	:	PUNCT
fcis-13852	135	3	10	10	NUM
fcis-13852	135	4	.	.	X
fcis-13852	136	1	48550	48550	NUM
fcis-13852	136	2	/	/	SYM
fcis-13852	136	3	arxiv.2004.10934	arxiv.2004.10934	PROPN
fcis-13852	136	4	.	.	PUNCT
fcis-13852	137	1	r.	r.	PROPN
fcis-13852	137	2	girshick	girshick	PROPN
fcis-13852	137	3	,	,	PUNCT
fcis-13852	137	4	"	"	PUNCT
fcis-13852	137	5	fast	fast	ADJ
fcis-13852	137	6	r	r	NOUN
fcis-13852	137	7	-	-	PUNCT
fcis-13852	137	8	cnn	cnn	PROPN
fcis-13852	137	9	,	,	PUNCT
fcis-13852	137	10	"	"	PUNCT
fcis-13852	137	11	proceedings	proceeding	NOUN
fcis-13852	137	12	of	of	ADP
fcis-13852	137	13	the	the	DET
fcis-13852	137	14	ieee	ieee	NOUN
fcis-13852	137	15	international	international	PROPN
fcis-13852	137	16	conference	conference	NOUN
fcis-13852	137	17	on	on	ADP
fcis-13852	137	18	computer	computer	NOUN
fcis-13852	137	19	vision	vision	NOUN
fcis-13852	137	20	,	,	PUNCT
fcis-13852	137	21	vol	vol	NOUN
fcis-13852	137	22	.	.	PROPN
fcis-13852	137	23	12	12	NUM
fcis-13852	137	24	,	,	PUNCT
fcis-13852	137	25	pp	pp	ADJ
fcis-13852	137	26	.	.	PUNCT
fcis-13852	138	1	1440	1440	NUM
fcis-13852	138	2	-	-	SYM
fcis-13852	138	3	1448	1448	NUM
fcis-13852	138	4	,	,	PUNCT
fcis-13852	138	5	2015	2015	NUM
fcis-13852	138	6	.	.	PUNCT
fcis-13852	139	1	[	[	X
fcis-13852	139	2	7	7	NUM
fcis-13852	139	3	]	]	X
fcis-13852	139	4	kaiming	kaiming	NOUN
fcis-13852	139	5	,	,	PUNCT
fcis-13852	139	6	he	he	PRON
fcis-13852	139	7	,	,	PUNCT
fcis-13852	139	8	xiangyu	xiangyu	PROPN
fcis-13852	139	9	,	,	PUNCT
fcis-13852	139	10	et	et	PROPN
fcis-13852	139	11	al.spatial	al.spatial	ADJ
fcis-13852	139	12	pyramid	pyramid	NOUN
fcis-13852	139	13	pooling	pool	VERB
fcis-13852	139	14	in	in	ADP
fcis-13852	139	15	deep	deep	ADJ
fcis-13852	139	16	convolutional	convolutional	ADJ
fcis-13852	139	17	networks	network	NOUN
fcis-13852	139	18	for	for	ADP
fcis-13852	139	19	visual	visual	ADJ
fcis-13852	139	20	recognition[j].ieee	recognition[j].ieee	NOUN
fcis-13852	139	21	transactions	transaction	NOUN
fcis-13852	139	22	on	on	ADP
fcis-13852	139	23	pattern	pattern	NOUN
fcis-13852	139	24	analysis	analysis	NOUN
fcis-13852	139	25	&	&	CCONJ
fcis-13852	139	26	machine	machine	NOUN
fcis-13852	139	27	intelligence	intelligence	NOUN
fcis-13852	139	28	,	,	PUNCT
fcis-13852	139	29	2015.doi:10.1109	2015.doi:10.1109	NUM
fcis-13852	139	30	/	/	SYM
fcis-13852	139	31	tpami.2015.2389824	tpami.2015.2389824	NOUN
fcis-13852	139	32	.	.	PUNCT
fcis-13852	140	1	[	[	X
fcis-13852	140	2	8	8	NUM
fcis-13852	140	3	]	]	X
fcis-13852	140	4	lin	lin	PROPN
fcis-13852	140	5	t	t	PROPN
fcis-13852	140	6	y	y	PROPN
fcis-13852	140	7	,	,	PUNCT
fcis-13852	140	8	dollar	dollar	NOUN
fcis-13852	140	9	p	p	NOUN
fcis-13852	140	10	,	,	PUNCT
fcis-13852	140	11	girshick	girshick	ADJ
fcis-13852	140	12	r	r	NOUN
fcis-13852	140	13	,	,	PUNCT
fcis-13852	140	14	etal	etal	NOUN
fcis-13852	140	15	.	.	PUNCT
fcis-13852	141	1	feature	feature	NOUN
fcis-13852	141	2	pyramid	pyramid	NOUN
fcis-13852	141	3	networks	network	NOUN
fcis-13852	141	4	for	for	ADP
fcis-13852	141	5	object	object	NOUN
fcis-13852	141	6	detection[j	detection[j	PROPN
fcis-13852	141	7	]	]	PUNCT
fcis-13852	141	8	.	.	PUNCT
fcis-13852	142	1	ieee	ieee	PROPN
fcis-13852	142	2	computer	computer	NOUN
fcis-13852	142	3	society	society	NOUN
fcis-13852	142	4	,	,	PUNCT
fcis-13852	142	5	2017	2017	NUM
fcis-13852	142	6	.	.	PUNCT
fcis-13852	143	1	[	[	X
fcis-13852	143	2	9	9	NUM
fcis-13852	143	3	]	]	X
fcis-13852	143	4	wang	wang	PROPN
fcis-13852	143	5	w	w	PROPN
fcis-13852	143	6	,	,	PUNCT
fcis-13852	143	7	xie	xie	PROPN
fcis-13852	143	8	e	e	PROPN
fcis-13852	143	9	,	,	PUNCT
fcis-13852	143	10	song	song	NOUN
fcis-13852	143	11	x	x	X
fcis-13852	143	12	,	,	PUNCT
fcis-13852	143	13	et	et	PROPN
fcis-13852	143	14	al	al	PROPN
fcis-13852	143	15	.	.	PROPN
fcis-13852	143	16	efficient	efficient	ADJ
fcis-13852	143	17	and	and	CCONJ
fcis-13852	143	18	accurate	accurate	ADJ
fcis-13852	143	19	arbitrary	arbitrary	ADJ
fcis-13852	143	20	-	-	PUNCT
fcis-13852	143	21	shaped	shape	VERB
fcis-13852	143	22	text	text	NOUN
fcis-13852	143	23	detection	detection	NOUN
fcis-13852	143	24	with	with	ADP
fcis-13852	143	25	pixel	pixel	PROPN
fcis-13852	143	26	aggregation	aggregation	NOUN
fcis-13852	143	27	network[j	network[j	PROPN
fcis-13852	143	28	]	]	PUNCT
fcis-13852	143	29	.	.	PUNCT
fcis-13852	144	1	ieee	ieee	PROPN
fcis-13852	144	2	,	,	PUNCT
fcis-13852	144	3	2019	2019	NUM
fcis-13852	144	4	.	.	PUNCT
fcis-13852	145	1	[	[	X
fcis-13852	145	2	10	10	NUM
fcis-13852	145	3	]	]	X
fcis-13852	145	4	zhang	zhang	PROPN
fcis-13852	145	5	y	y	PROPN
fcis-13852	145	6	f	f	PROPN
fcis-13852	145	7	,	,	PUNCT
fcis-13852	145	8	ren	ren	PROPN
fcis-13852	145	9	w	w	PROPN
fcis-13852	145	10	,	,	PUNCT
fcis-13852	145	11	zhang	zhang	PROPN
fcis-13852	145	12	z	z	PROPN
fcis-13852	145	13	,	,	PUNCT
fcis-13852	145	14	et	et	PROPN
fcis-13852	145	15	al	al	PROPN
fcis-13852	145	16	.	.	PROPN
fcis-13852	145	17	focal	focal	ADJ
fcis-13852	145	18	and	and	CCONJ
fcis-13852	145	19	efficient	efficient	ADJ
fcis-13852	145	20	iou	iou	NOUN
fcis-13852	145	21	loss	loss	NOUN
fcis-13852	145	22	for	for	ADP
fcis-13852	145	23	accurate	accurate	ADJ
fcis-13852	145	24	bounding	bounding	NOUN
fcis-13852	145	25	box	box	PROPN
fcis-13852	145	26	regression[j].2021	regression[j].2021	PROPN
fcis-13852	145	27	.	.	PUNCT
fcis-13852	146	1	[	[	X
fcis-13852	146	2	11	11	NUM
fcis-13852	146	3	]	]	PUNCT
fcis-13852	146	4	gevorgyan	gevorgyan	PROPN
fcis-13852	146	5	z.	z.	PROPN
fcis-13852	146	6	siou	siou	PROPN
fcis-13852	146	7	loss	loss	NOUN
fcis-13852	146	8	:	:	PUNCT
fcis-13852	146	9	more	more	ADV
fcis-13852	146	10	powerful	powerful	ADJ
fcis-13852	146	11	learning	learn	VERB
fcis-13852	146	12	for	for	ADP
fcis-13852	146	13	bounding	bound	VERB
fcis-13852	146	14	box	box	NOUN
fcis-13852	146	15	regression[j	regression[j	PROPN
fcis-13852	146	16	]	]	PUNCT
fcis-13852	146	17	.	.	PUNCT
fcis-13852	147	1	ar**v	ar**v	NOUN
fcis-13852	147	2	preprint	preprint	PROPN
fcis-13852	147	3	ar**v:2205.12740	ar**v:2205.12740	NOUN
fcis-13852	147	4	,	,	PUNCT
fcis-13852	147	5	2022	2022	NUM
fcis-13852	147	6	.	.	PUNCT