id	sid	tid	token	lemma	pos
fcis-28030	1	1	frontiers	frontier	NOUN
fcis-28030	1	2	in	in	ADP
fcis-28030	1	3	computing	computing	NOUN
fcis-28030	1	4	and	and	CCONJ
fcis-28030	1	5	intelligent	intelligent	ADJ
fcis-28030	1	6	systems	system	NOUN
fcis-28030	1	7	issn	issn	VERB
fcis-28030	1	8	:	:	PUNCT
fcis-28030	1	9	2832	2832	NUM
fcis-28030	1	10	-	-	SYM
fcis-28030	1	11	6024	6024	NUM
fcis-28030	1	12	|	|	NOUN
fcis-28030	1	13	vol	vol	NOUN
fcis-28030	1	14	.	.	PROPN
fcis-28030	2	1	10	10	NUM
fcis-28030	2	2	,	,	PUNCT
fcis-28030	2	3	no	no	INTJ
fcis-28030	2	4	.	.	NOUN
fcis-28030	2	5	3	3	NUM
fcis-28030	2	6	,	,	PUNCT
fcis-28030	2	7	2024	2024	NUM
fcis-28030	2	8	18	18	NUM
fcis-28030	2	9	an	an	DET
fcis-28030	2	10	improved	improved	ADJ
fcis-28030	2	11	algorithm	algorithm	NOUN
fcis-28030	2	12	for	for	ADP
fcis-28030	2	13	small	small	ADJ
fcis-28030	2	14	target	target	NOUN
fcis-28030	2	15	detection	detection	NOUN
fcis-28030	2	16	based	base	VERB
fcis-28030	2	17	on	on	ADP
fcis-28030	2	18	yolo	yolo	PROPN
fcis-28030	2	19	hao	hao	PROPN
fcis-28030	2	20	meng	meng	PROPN
fcis-28030	2	21	,	,	PUNCT
fcis-28030	2	22	jieqing	jieqe	VERB
fcis-28030	2	23	tan	tan	PROPN
fcis-28030	2	24	hefei	hefei	PROPN
fcis-28030	2	25	university	university	PROPN
fcis-28030	2	26	of	of	ADP
fcis-28030	2	27	technology	technology	PROPN
fcis-28030	2	28	,	,	PUNCT
fcis-28030	2	29	hefei	hefei	PROPN
fcis-28030	2	30	anhui	anhui	PROPN
fcis-28030	2	31	,	,	PUNCT
fcis-28030	2	32	230000	230000	NUM
fcis-28030	2	33	,	,	PUNCT
fcis-28030	2	34	china	china	PROPN
fcis-28030	2	35	abstract	abstract	NOUN
fcis-28030	2	36	:	:	PUNCT
fcis-28030	2	37	aiming	aim	VERB
fcis-28030	2	38	at	at	ADP
fcis-28030	2	39	the	the	DET
fcis-28030	2	40	problems	problem	NOUN
fcis-28030	2	41	of	of	ADP
fcis-28030	2	42	small	small	ADJ
fcis-28030	2	43	target	target	NOUN
fcis-28030	2	44	size	size	NOUN
fcis-28030	2	45	,	,	PUNCT
fcis-28030	2	46	dense	dense	ADJ
fcis-28030	2	47	target	target	NOUN
fcis-28030	2	48	,	,	PUNCT
fcis-28030	2	49	missing	miss	VERB
fcis-28030	2	50	detection	detection	NOUN
fcis-28030	2	51	and	and	CCONJ
fcis-28030	2	52	false	false	ADJ
fcis-28030	2	53	detection	detection	NOUN
fcis-28030	2	54	in	in	ADP
fcis-28030	2	55	uav	uav	PROPN
fcis-28030	2	56	aerial	aerial	ADJ
fcis-28030	2	57	images	image	NOUN
fcis-28030	2	58	,	,	PUNCT
fcis-28030	2	59	an	an	DET
fcis-28030	2	60	improved	improved	ADJ
fcis-28030	2	61	yolov8s	yolov8s	NUM
fcis-28030	2	62	small	small	ADJ
fcis-28030	2	63	target	target	NOUN
fcis-28030	2	64	detection	detection	NOUN
fcis-28030	2	65	algorithm	algorithm	NOUN
fcis-28030	2	66	ms	ms	NOUN
fcis-28030	2	67	-	-	PUNCT
fcis-28030	2	68	p2	p2	NOUN
fcis-28030	2	69	-	-	PUNCT
fcis-28030	2	70	yolo	yolo	NOUN
fcis-28030	2	71	is	be	AUX
fcis-28030	2	72	proposed	propose	VERB
fcis-28030	2	73	in	in	ADP
fcis-28030	2	74	this	this	DET
fcis-28030	2	75	paper	paper	NOUN
fcis-28030	2	76	.	.	PUNCT
fcis-28030	3	1	first	first	ADV
fcis-28030	3	2	,	,	PUNCT
fcis-28030	3	3	through	through	ADP
fcis-28030	3	4	several	several	ADJ
fcis-28030	3	5	initial	initial	ADJ
fcis-28030	3	6	convolution	convolution	NOUN
fcis-28030	3	7	layers	layer	NOUN
fcis-28030	3	8	,	,	PUNCT
fcis-28030	3	9	the	the	DET
fcis-28030	3	10	composite	composite	ADJ
fcis-28030	3	11	convolution	convolution	NOUN
fcis-28030	3	12	module	module	NOUN
fcis-28030	3	13	extracts	extract	NOUN
fcis-28030	3	14	the	the	DET
fcis-28030	3	15	target	target	NOUN
fcis-28030	3	16	feature	feature	NOUN
fcis-28030	3	17	information	information	NOUN
fcis-28030	3	18	,	,	PUNCT
fcis-28030	3	19	and	and	CCONJ
fcis-28030	3	20	uses	use	VERB
fcis-28030	3	21	pooling	pool	VERB
fcis-28030	3	22	operations	operation	NOUN
fcis-28030	3	23	of	of	ADP
fcis-28030	3	24	different	different	ADJ
fcis-28030	3	25	scales	scale	NOUN
fcis-28030	3	26	to	to	PART
fcis-28030	3	27	capture	capture	VERB
fcis-28030	3	28	the	the	DET
fcis-28030	3	29	global	global	ADJ
fcis-28030	3	30	context	context	NOUN
fcis-28030	3	31	information	information	NOUN
fcis-28030	3	32	of	of	ADP
fcis-28030	3	33	the	the	DET
fcis-28030	3	34	image	image	NOUN
fcis-28030	3	35	.	.	PUNCT
fcis-28030	4	1	then	then	ADV
fcis-28030	4	2	,	,	PUNCT
fcis-28030	4	3	the	the	DET
fcis-28030	4	4	scale	scale	NOUN
fcis-28030	4	5	adaptive	adaptive	ADJ
fcis-28030	4	6	fusion	fusion	NOUN
fcis-28030	4	7	unit	unit	NOUN
fcis-28030	4	8	module	module	NOUN
fcis-28030	4	9	is	be	AUX
fcis-28030	4	10	used	use	VERB
fcis-28030	4	11	to	to	PART
fcis-28030	4	12	scale	scale	VERB
fcis-28030	4	13	and	and	CCONJ
fcis-28030	4	14	splicing	splice	VERB
fcis-28030	4	15	the	the	DET
fcis-28030	4	16	feature	feature	NOUN
fcis-28030	4	17	map	map	NOUN
fcis-28030	4	18	in	in	ADP
fcis-28030	4	19	a	a	DET
fcis-28030	4	20	certain	certain	ADJ
fcis-28030	4	21	form	form	NOUN
fcis-28030	4	22	to	to	PART
fcis-28030	4	23	integrate	integrate	VERB
fcis-28030	4	24	the	the	DET
fcis-28030	4	25	feature	feature	NOUN
fcis-28030	4	26	information	information	NOUN
fcis-28030	4	27	from	from	ADP
fcis-28030	4	28	different	different	ADJ
fcis-28030	4	29	scales	scale	NOUN
fcis-28030	4	30	or	or	CCONJ
fcis-28030	4	31	layers	layer	NOUN
fcis-28030	4	32	.	.	PUNCT
fcis-28030	5	1	then	then	ADV
fcis-28030	5	2	the	the	DET
fcis-28030	5	3	multi	multi	ADJ
fcis-28030	5	4	-	-	ADJ
fcis-28030	5	5	dimensional	dimensional	ADJ
fcis-28030	5	6	feature	feature	NOUN
fcis-28030	5	7	integration	integration	NOUN
fcis-28030	5	8	module	module	NOUN
fcis-28030	5	9	is	be	AUX
fcis-28030	5	10	used	use	VERB
fcis-28030	5	11	to	to	PART
fcis-28030	5	12	adjust	adjust	VERB
fcis-28030	5	13	the	the	DET
fcis-28030	5	14	features	feature	NOUN
fcis-28030	5	15	according	accord	VERB
fcis-28030	5	16	to	to	ADP
fcis-28030	5	17	the	the	DET
fcis-28030	5	18	size	size	NOUN
fcis-28030	5	19	or	or	CCONJ
fcis-28030	5	20	number	number	NOUN
fcis-28030	5	21	of	of	ADP
fcis-28030	5	22	channels	channel	NOUN
fcis-28030	5	23	of	of	ADP
fcis-28030	5	24	the	the	DET
fcis-28030	5	25	input	input	NOUN
fcis-28030	5	26	feature	feature	NOUN
fcis-28030	5	27	map	map	NOUN
fcis-28030	5	28	,	,	PUNCT
fcis-28030	5	29	and	and	CCONJ
fcis-28030	5	30	to	to	PART
fcis-28030	5	31	enhance	enhance	VERB
fcis-28030	5	32	the	the	DET
fcis-28030	5	33	feature	feature	NOUN
fcis-28030	5	34	representation	representation	NOUN
fcis-28030	5	35	through	through	ADP
fcis-28030	5	36	certain	certain	ADJ
fcis-28030	5	37	forms	form	NOUN
fcis-28030	5	38	of	of	ADP
fcis-28030	5	39	scaling	scaling	NOUN
fcis-28030	5	40	and	and	CCONJ
fcis-28030	5	41	sequence	sequence	NOUN
fcis-28030	5	42	processing	processing	NOUN
fcis-28030	5	43	.	.	PUNCT
fcis-28030	6	1	at	at	ADP
fcis-28030	6	2	the	the	DET
fcis-28030	6	3	same	same	ADJ
fcis-28030	6	4	time	time	NOUN
fcis-28030	6	5	,	,	PUNCT
fcis-28030	6	6	p2	p2	PROPN
fcis-28030	6	7	detection	detection	NOUN
fcis-28030	6	8	head	head	NOUN
fcis-28030	6	9	is	be	AUX
fcis-28030	6	10	added	add	VERB
fcis-28030	6	11	at	at	ADP
fcis-28030	6	12	the	the	DET
fcis-28030	6	13	end	end	NOUN
fcis-28030	6	14	to	to	PART
fcis-28030	6	15	further	far	ADV
fcis-28030	6	16	increase	increase	VERB
fcis-28030	6	17	the	the	DET
fcis-28030	6	18	detection	detection	NOUN
fcis-28030	6	19	ability	ability	NOUN
fcis-28030	6	20	of	of	ADP
fcis-28030	6	21	small	small	ADJ
fcis-28030	6	22	targets	target	NOUN
fcis-28030	6	23	,	,	PUNCT
fcis-28030	6	24	which	which	PRON
fcis-28030	6	25	greatly	greatly	ADV
fcis-28030	6	26	improves	improve	VERB
fcis-28030	6	27	the	the	DET
fcis-28030	6	28	problems	problem	NOUN
fcis-28030	6	29	of	of	ADP
fcis-28030	6	30	missing	miss	VERB
fcis-28030	6	31	detection	detection	NOUN
fcis-28030	6	32	,	,	PUNCT
fcis-28030	6	33	false	false	ADJ
fcis-28030	6	34	detection	detection	NOUN
fcis-28030	6	35	and	and	CCONJ
fcis-28030	6	36	large	large	ADJ
fcis-28030	6	37	number	number	NOUN
fcis-28030	6	38	of	of	ADP
fcis-28030	6	39	parameters	parameter	NOUN
fcis-28030	6	40	of	of	ADP
fcis-28030	6	41	small	small	ADJ
fcis-28030	6	42	targets	target	NOUN
fcis-28030	6	43	.	.	PUNCT
fcis-28030	7	1	experiments	experiment	NOUN
fcis-28030	7	2	show	show	VERB
fcis-28030	7	3	that	that	SCONJ
fcis-28030	7	4	compared	compare	VERB
fcis-28030	7	5	with	with	ADP
fcis-28030	7	6	the	the	DET
fcis-28030	7	7	visdrone2019	visdrone2019	PROPN
fcis-28030	7	8	dataset	dataset	NOUN
fcis-28030	7	9	of	of	ADP
fcis-28030	7	10	ms	ms	PROPN
fcis-28030	7	11	-	-	PUNCT
fcis-28030	7	12	p2	p2	NOUN
fcis-28030	7	13	-	-	PUNCT
fcis-28030	7	14	yolo	yolo	NOUN
fcis-28030	7	15	and	and	CCONJ
fcis-28030	7	16	yolov8s	yolov8	NOUN
fcis-28030	7	17	,	,	PUNCT
fcis-28030	7	18	p	p	X
fcis-28030	7	19	,	,	PUNCT
fcis-28030	7	20	r	r	NOUN
fcis-28030	7	21	and	and	CCONJ
fcis-28030	7	22	map50	map50	PROPN
fcis-28030	7	23	%	%	NOUN
fcis-28030	7	24	have	have	AUX
fcis-28030	7	25	increased	increase	VERB
fcis-28030	7	26	by	by	ADP
fcis-28030	7	27	9	9	NUM
fcis-28030	7	28	%	%	NOUN
fcis-28030	7	29	,	,	PUNCT
fcis-28030	7	30	12.9	12.9	NUM
fcis-28030	7	31	%	%	NOUN
fcis-28030	7	32	and	and	CCONJ
fcis-28030	7	33	12.9	12.9	NUM
fcis-28030	7	34	%	%	NOUN
fcis-28030	7	35	respectively	respectively	ADV
fcis-28030	7	36	,	,	PUNCT
fcis-28030	7	37	and	and	CCONJ
fcis-28030	7	38	the	the	DET
fcis-28030	7	39	number	number	NOUN
fcis-28030	7	40	of	of	ADP
fcis-28030	7	41	parameters	parameter	NOUN
fcis-28030	7	42	has	have	AUX
fcis-28030	7	43	decreased	decrease	VERB
fcis-28030	7	44	by	by	ADP
fcis-28030	7	45	4	4	NUM
fcis-28030	7	46	%	%	NOUN
fcis-28030	7	47	.	.	PUNCT
fcis-28030	8	1	at	at	ADP
fcis-28030	8	2	the	the	DET
fcis-28030	8	3	same	same	ADJ
fcis-28030	8	4	time	time	NOUN
fcis-28030	8	5	,	,	PUNCT
fcis-28030	8	6	generalization	generalization	NOUN
fcis-28030	8	7	and	and	CCONJ
fcis-28030	8	8	comparison	comparison	NOUN
fcis-28030	8	9	experiments	experiment	NOUN
fcis-28030	8	10	were	be	AUX
fcis-28030	8	11	also	also	ADV
fcis-28030	8	12	conducted	conduct	VERB
fcis-28030	8	13	in	in	ADP
fcis-28030	8	14	yolov5s	yolov5s	PROPN
fcis-28030	8	15	,	,	PUNCT
fcis-28030	8	16	yolov8s	yolov8s	PROPN
fcis-28030	8	17	,	,	PUNCT
fcis-28030	8	18	atss	atss	PROPN
fcis-28030	8	19	,	,	PUNCT
fcis-28030	8	20	tood	tood	PROPN
fcis-28030	8	21	,	,	PUNCT
fcis-28030	8	22	and	and	CCONJ
fcis-28030	8	23	father	father	NOUN
fcis-28030	8	24	-	-	PUNCT
fcis-28030	8	25	rcnn	rcnn	PROPN
fcis-28030	8	26	,	,	PUNCT
fcis-28030	8	27	and	and	CCONJ
fcis-28030	8	28	the	the	DET
fcis-28030	8	29	detection	detection	NOUN
fcis-28030	8	30	results	result	NOUN
fcis-28030	8	31	were	be	AUX
fcis-28030	8	32	visualized	visualize	VERB
fcis-28030	8	33	.	.	PUNCT
fcis-28030	9	1	the	the	DET
fcis-28030	9	2	experiments	experiment	NOUN
fcis-28030	9	3	showed	show	VERB
fcis-28030	9	4	that	that	SCONJ
fcis-28030	9	5	all	all	DET
fcis-28030	9	6	parameters	parameter	NOUN
fcis-28030	9	7	were	be	AUX
fcis-28030	9	8	improved	improve	VERB
fcis-28030	9	9	.	.	PUNCT
fcis-28030	10	1	keywords	keyword	NOUN
fcis-28030	10	2	:	:	PUNCT
fcis-28030	11	1	yolo	yolo	ADJ
fcis-28030	11	2	;	;	PUNCT
fcis-28030	11	3	small	small	ADJ
fcis-28030	11	4	target	target	NOUN
fcis-28030	11	5	detection	detection	NOUN
fcis-28030	11	6	;	;	PUNCT
fcis-28030	11	7	feature	feature	NOUN
fcis-28030	11	8	extraction	extraction	NOUN
fcis-28030	11	9	.	.	PUNCT
fcis-28030	12	1	1	1	X
fcis-28030	12	2	.	.	X
fcis-28030	12	3	introduction	introduction	NOUN
fcis-28030	12	4	object	object	NOUN
fcis-28030	12	5	detection	detection	NOUN
fcis-28030	12	6	is	be	AUX
fcis-28030	12	7	a	a	DET
fcis-28030	12	8	key	key	ADJ
fcis-28030	12	9	task	task	NOUN
fcis-28030	12	10	in	in	ADP
fcis-28030	12	11	the	the	DET
fcis-28030	12	12	field	field	NOUN
fcis-28030	12	13	of	of	ADP
fcis-28030	12	14	computer	computer	NOUN
fcis-28030	12	15	vision	vision	NOUN
fcis-28030	12	16	,	,	PUNCT
fcis-28030	12	17	which	which	PRON
fcis-28030	12	18	aims	aim	VERB
fcis-28030	12	19	to	to	PART
fcis-28030	12	20	accurately	accurately	ADV
fcis-28030	12	21	identify	identify	VERB
fcis-28030	12	22	and	and	CCONJ
fcis-28030	12	23	locate	locate	ADJ
fcis-28030	12	24	objects	object	NOUN
fcis-28030	12	25	of	of	ADP
fcis-28030	12	26	interest	interest	NOUN
fcis-28030	12	27	from	from	ADP
fcis-28030	12	28	images	image	NOUN
fcis-28030	12	29	or	or	CCONJ
fcis-28030	12	30	videos	video	NOUN
fcis-28030	12	31	.	.	PUNCT
fcis-28030	13	1	with	with	ADP
fcis-28030	13	2	the	the	DET
fcis-28030	13	3	rapid	rapid	ADJ
fcis-28030	13	4	development	development	NOUN
fcis-28030	13	5	of	of	ADP
fcis-28030	13	6	deep	deep	ADJ
fcis-28030	13	7	learning	learning	NOUN
fcis-28030	13	8	technology	technology	NOUN
fcis-28030	13	9	,	,	PUNCT
fcis-28030	13	10	the	the	DET
fcis-28030	13	11	performance	performance	NOUN
fcis-28030	13	12	of	of	ADP
fcis-28030	13	13	object	object	NOUN
fcis-28030	13	14	detection	detection	NOUN
fcis-28030	13	15	algorithms	algorithm	NOUN
fcis-28030	13	16	has	have	AUX
fcis-28030	13	17	been	be	AUX
fcis-28030	13	18	significantly	significantly	ADV
fcis-28030	13	19	improved	improve	VERB
fcis-28030	13	20	.	.	PUNCT
fcis-28030	14	1	among	among	ADP
fcis-28030	14	2	them	they	PRON
fcis-28030	14	3	,	,	PUNCT
fcis-28030	14	4	yolo	yolo	PROPN
fcis-28030	14	5	(	(	PUNCT
fcis-28030	14	6	you	you	PRON
fcis-28030	14	7	only	only	ADV
fcis-28030	14	8	look	look	VERB
fcis-28030	14	9	once	once	ADV
fcis-28030	14	10	)	)	PUNCT
fcis-28030	14	11	series	series	NOUN
fcis-28030	14	12	algorithms	algorithm	NOUN
fcis-28030	14	13	have	have	AUX
fcis-28030	14	14	attracted	attract	VERB
fcis-28030	14	15	wide	wide	ADJ
fcis-28030	14	16	attention	attention	NOUN
fcis-28030	14	17	in	in	ADP
fcis-28030	14	18	the	the	DET
fcis-28030	14	19	field	field	NOUN
fcis-28030	14	20	of	of	ADP
fcis-28030	14	21	target	target	NOUN
fcis-28030	14	22	detection	detection	NOUN
fcis-28030	14	23	because	because	SCONJ
fcis-28030	14	24	of	of	ADP
fcis-28030	14	25	its	its	PRON
fcis-28030	14	26	efficient	efficient	ADJ
fcis-28030	14	27	and	and	CCONJ
fcis-28030	14	28	real	real	ADJ
fcis-28030	14	29	-	-	PUNCT
fcis-28030	14	30	time	time	NOUN
fcis-28030	14	31	characteristics	characteristic	NOUN
fcis-28030	14	32	.	.	PUNCT
fcis-28030	15	1	the	the	DET
fcis-28030	15	2	yolo	yolo	ADJ
fcis-28030	15	3	algorithm	algorithm	NOUN
fcis-28030	15	4	turns	turn	VERB
fcis-28030	15	5	the	the	DET
fcis-28030	15	6	target	target	NOUN
fcis-28030	15	7	detection	detection	NOUN
fcis-28030	15	8	task	task	NOUN
fcis-28030	15	9	into	into	ADP
fcis-28030	15	10	a	a	DET
fcis-28030	15	11	regression	regression	NOUN
fcis-28030	15	12	problem	problem	NOUN
fcis-28030	15	13	,	,	PUNCT
fcis-28030	15	14	and	and	CCONJ
fcis-28030	15	15	achieves	achieve	VERB
fcis-28030	15	16	fast	fast	ADJ
fcis-28030	15	17	and	and	CCONJ
fcis-28030	15	18	accurate	accurate	ADJ
fcis-28030	15	19	target	target	NOUN
fcis-28030	15	20	detection	detection	NOUN
fcis-28030	15	21	by	by	ADP
fcis-28030	15	22	simultaneously	simultaneously	ADV
fcis-28030	15	23	locating	locate	VERB
fcis-28030	15	24	and	and	CCONJ
fcis-28030	15	25	classifying	classify	VERB
fcis-28030	15	26	the	the	DET
fcis-28030	15	27	target	target	NOUN
fcis-28030	15	28	through	through	ADP
fcis-28030	15	29	a	a	DET
fcis-28030	15	30	single	single	ADJ
fcis-28030	15	31	neural	neural	ADJ
fcis-28030	15	32	network	network	NOUN
fcis-28030	15	33	.	.	PUNCT
fcis-28030	16	1	small	small	ADJ
fcis-28030	16	2	target	target	NOUN
fcis-28030	16	3	detection	detection	NOUN
fcis-28030	16	4	is	be	AUX
fcis-28030	16	5	an	an	DET
fcis-28030	16	6	important	important	ADJ
fcis-28030	16	7	branch	branch	NOUN
fcis-28030	16	8	of	of	ADP
fcis-28030	16	9	target	target	NOUN
fcis-28030	16	10	detection	detection	NOUN
fcis-28030	16	11	,	,	PUNCT
fcis-28030	16	12	which	which	PRON
fcis-28030	16	13	mainly	mainly	ADV
fcis-28030	16	14	focuses	focus	VERB
fcis-28030	16	15	on	on	ADP
fcis-28030	16	16	small	small	ADJ
fcis-28030	16	17	targets	target	NOUN
fcis-28030	16	18	in	in	ADP
fcis-28030	16	19	images	image	NOUN
fcis-28030	16	20	,	,	PUNCT
fcis-28030	16	21	such	such	ADJ
fcis-28030	16	22	as	as	ADP
fcis-28030	16	23	pedestrians	pedestrian	NOUN
fcis-28030	16	24	in	in	ADP
fcis-28030	16	25	video	video	NOUN
fcis-28030	16	26	surveillance	surveillance	NOUN
fcis-28030	16	27	and	and	CCONJ
fcis-28030	16	28	small	small	ADJ
fcis-28030	16	29	lesions	lesion	NOUN
fcis-28030	16	30	in	in	ADP
fcis-28030	16	31	medical	medical	ADJ
fcis-28030	16	32	images	image	NOUN
fcis-28030	16	33	.	.	PUNCT
fcis-28030	17	1	because	because	SCONJ
fcis-28030	17	2	of	of	ADP
fcis-28030	17	3	the	the	DET
fcis-28030	17	4	small	small	ADJ
fcis-28030	17	5	size	size	NOUN
fcis-28030	17	6	of	of	ADP
fcis-28030	17	7	small	small	ADJ
fcis-28030	17	8	targets	target	NOUN
fcis-28030	17	9	and	and	CCONJ
fcis-28030	17	10	their	their	PRON
fcis-28030	17	11	features	feature	NOUN
fcis-28030	17	12	are	be	AUX
fcis-28030	17	13	not	not	PART
fcis-28030	17	14	obvious	obvious	ADJ
fcis-28030	17	15	,	,	PUNCT
fcis-28030	17	16	traditional	traditional	ADJ
fcis-28030	17	17	target	target	NOUN
fcis-28030	17	18	detection	detection	NOUN
fcis-28030	17	19	algorithms	algorithm	NOUN
fcis-28030	17	20	are	be	AUX
fcis-28030	17	21	often	often	ADV
fcis-28030	17	22	difficult	difficult	ADJ
fcis-28030	17	23	to	to	PART
fcis-28030	17	24	achieve	achieve	VERB
fcis-28030	17	25	satisfactory	satisfactory	ADJ
fcis-28030	17	26	results	result	NOUN
fcis-28030	17	27	.	.	PUNCT
fcis-28030	18	1	however	however	ADV
fcis-28030	18	2	,	,	PUNCT
fcis-28030	18	3	yolo	yolo	ADJ
fcis-28030	18	4	algorithm[1	algorithm[1	NOUN
fcis-28030	18	5	-	-	PUNCT
fcis-28030	18	6	3	3	NUM
fcis-28030	18	7	]	]	PUNCT
fcis-28030	18	8	,	,	PUNCT
fcis-28030	18	9	with	with	ADP
fcis-28030	18	10	its	its	PRON
fcis-28030	18	11	powerful	powerful	ADJ
fcis-28030	18	12	feature[4	feature[4	PRON
fcis-28030	18	13	]	]	PUNCT
fcis-28030	18	14	extraction	extraction	NOUN
fcis-28030	18	15	capability	capability	NOUN
fcis-28030	18	16	and	and	CCONJ
fcis-28030	18	17	global	global	ADJ
fcis-28030	18	18	optimization	optimization	NOUN
fcis-28030	18	19	strategy[5	strategy[5	PROPN
fcis-28030	18	20	]	]	PUNCT
fcis-28030	18	21	,	,	PUNCT
fcis-28030	18	22	has	have	AUX
fcis-28030	18	23	shown	show	VERB
fcis-28030	18	24	excellent	excellent	ADJ
fcis-28030	18	25	performance	performance	NOUN
fcis-28030	18	26	in	in	ADP
fcis-28030	18	27	small	small	ADJ
fcis-28030	18	28	target	target	NOUN
fcis-28030	18	29	detection	detection	NOUN
fcis-28030	18	30	.	.	PUNCT
fcis-28030	19	1	this	this	DET
fcis-28030	19	2	paper	paper	NOUN
fcis-28030	19	3	aims	aim	VERB
fcis-28030	19	4	to	to	PART
fcis-28030	19	5	discuss	discuss	VERB
fcis-28030	19	6	the	the	DET
fcis-28030	19	7	small	small	ADJ
fcis-28030	19	8	target	target	NOUN
fcis-28030	19	9	detection	detection	NOUN
fcis-28030	19	10	algorithm	algorithm	NOUN
fcis-28030	19	11	based	base	VERB
fcis-28030	19	12	on	on	ADP
fcis-28030	19	13	yolo	yolo	PROPN
fcis-28030	19	14	,	,	PUNCT
fcis-28030	19	15	and	and	CCONJ
fcis-28030	19	16	analyze	analyze	VERB
fcis-28030	19	17	its	its	PRON
fcis-28030	19	18	principle	principle	NOUN
fcis-28030	19	19	,	,	PUNCT
fcis-28030	19	20	advantages	advantage	NOUN
fcis-28030	19	21	and	and	CCONJ
fcis-28030	19	22	application	application	NOUN
fcis-28030	19	23	scenarios	scenario	NOUN
fcis-28030	19	24	.	.	PUNCT
fcis-28030	20	1	we	we	PRON
fcis-28030	20	2	will	will	AUX
fcis-28030	20	3	focus	focus	VERB
fcis-28030	20	4	on	on	ADP
fcis-28030	20	5	the	the	DET
fcis-28030	20	6	application	application	NOUN
fcis-28030	20	7	of	of	ADP
fcis-28030	20	8	yolo	yolo	ADJ
fcis-28030	20	9	algorithm	algorithm	NOUN
fcis-28030	20	10	in	in	ADP
fcis-28030	20	11	small	small	ADJ
fcis-28030	20	12	target	target	NOUN
fcis-28030	20	13	detection	detection	NOUN
fcis-28030	20	14	,	,	PUNCT
fcis-28030	20	15	including	include	VERB
fcis-28030	20	16	its	its	PRON
fcis-28030	20	17	specific	specific	ADJ
fcis-28030	20	18	performance	performance	NOUN
fcis-28030	20	19	in	in	ADP
fcis-28030	20	20	uav[6	uav[6	NOUN
fcis-28030	20	21	]	]	PUNCT
fcis-28030	20	22	image	image	NOUN
fcis-28030	20	23	target	target	NOUN
fcis-28030	20	24	recognition	recognition	NOUN
fcis-28030	20	25	,	,	PUNCT
fcis-28030	20	26	monitoring	monitor	VERB
fcis-28030	20	27	scenarios	scenario	NOUN
fcis-28030	20	28	,	,	PUNCT
fcis-28030	20	29	medical	medical	ADJ
fcis-28030	20	30	imaging	imaging	NOUN
fcis-28030	20	31	and	and	CCONJ
fcis-28030	20	32	industrial	industrial	ADJ
fcis-28030	20	33	detection	detection	NOUN
fcis-28030	20	34	.	.	PUNCT
fcis-28030	21	1	in	in	ADP
fcis-28030	21	2	this	this	DET
fcis-28030	21	3	paper	paper	NOUN
fcis-28030	21	4	,	,	PUNCT
fcis-28030	21	5	yolov8s	yolov8	NOUN
fcis-28030	22	1	[	[	X
fcis-28030	22	2	7	7	NUM
fcis-28030	22	3	-	-	SYM
fcis-28030	22	4	9	9	NUM
fcis-28030	22	5	]	]	PUNCT
fcis-28030	22	6	is	be	AUX
fcis-28030	22	7	selected	select	VERB
fcis-28030	22	8	as	as	ADP
fcis-28030	22	9	the	the	DET
fcis-28030	22	10	benchmark	benchmark	NOUN
fcis-28030	22	11	algorithm	algorithm	NOUN
fcis-28030	22	12	,	,	PUNCT
fcis-28030	22	13	and	and	CCONJ
fcis-28030	22	14	on	on	ADP
fcis-28030	22	15	this	this	DET
fcis-28030	22	16	basis	basis	NOUN
fcis-28030	22	17	,	,	PUNCT
fcis-28030	22	18	the	the	DET
fcis-28030	22	19	small	small	ADJ
fcis-28030	22	20	target	target	NOUN
fcis-28030	22	21	detection[10	detection[10	CCONJ
fcis-28030	22	22	]	]	PUNCT
fcis-28030	22	23	task	task	NOUN
fcis-28030	22	24	is	be	AUX
fcis-28030	22	25	improved	improve	VERB
fcis-28030	22	26	and	and	CCONJ
fcis-28030	22	27	innovated	innovate	VERB
fcis-28030	22	28	.	.	PUNCT
fcis-28030	23	1	the	the	DET
fcis-28030	23	2	structure	structure	NOUN
fcis-28030	23	3	of	of	ADP
fcis-28030	23	4	yolov8	yolov8	PROPN
fcis-28030	23	5	algorithm	algorithm	PROPN
fcis-28030	23	6	model	model	NOUN
fcis-28030	23	7	[	[	X
fcis-28030	23	8	11	11	NUM
fcis-28030	23	9	]	]	PUNCT
fcis-28030	23	10	is	be	AUX
fcis-28030	23	11	mainly	mainly	ADV
fcis-28030	23	12	composed	compose	VERB
fcis-28030	23	13	of	of	ADP
fcis-28030	23	14	input	input	NOUN
fcis-28030	23	15	,	,	PUNCT
fcis-28030	23	16	backbone	backbone	NOUN
fcis-28030	23	17	and	and	CCONJ
fcis-28030	23	18	head	head	NOUN
fcis-28030	23	19	,	,	PUNCT
fcis-28030	23	20	among	among	ADP
fcis-28030	23	21	which	which	PRON
fcis-28030	23	22	the	the	DET
fcis-28030	23	23	head	head	NOUN
fcis-28030	23	24	includes	include	VERB
fcis-28030	23	25	neck	neck	NOUN
fcis-28030	23	26	network	network	NOUN
fcis-28030	23	27	and	and	CCONJ
fcis-28030	23	28	detcet	detcet	PROPN
fcis-28030	23	29	.	.	PUNCT
fcis-28030	24	1	fig	fig	NOUN
fcis-28030	24	2	1	1	NUM
fcis-28030	24	3	.	.	PUNCT
fcis-28030	25	1	yolov8	yolov8	NOUN
fcis-28030	25	2	structure	structure	PROPN
fcis-28030	25	3	diagram	diagram	NOUN
fcis-28030	25	4	in	in	ADP
fcis-28030	25	5	the	the	DET
fcis-28030	25	6	input	input	NOUN
fcis-28030	25	7	part	part	NOUN
fcis-28030	25	8	,	,	PUNCT
fcis-28030	25	9	the	the	DET
fcis-28030	25	10	functions	function	NOUN
fcis-28030	25	11	include	include	VERB
fcis-28030	25	12	mosic	mosic	ADJ
fcis-28030	25	13	data	datum	NOUN
fcis-28030	25	14	enhancement	enhancement	NOUN
fcis-28030	25	15	,	,	PUNCT
fcis-28030	25	16	adaptive	adaptive	ADJ
fcis-28030	25	17	anchor	anchor	NOUN
fcis-28030	25	18	calculation	calculation	NOUN
fcis-28030	25	19	and	and	CCONJ
fcis-28030	25	20	other	other	ADJ
fcis-28030	25	21	data	datum	NOUN
fcis-28030	25	22	enhancement	enhancement	NOUN
fcis-28030	25	23	techniques	technique	NOUN
fcis-28030	25	24	:	:	PUNCT
fcis-28030	25	25	in	in	ADP
fcis-28030	25	26	the	the	DET
fcis-28030	25	27	backbone	backbone	NOUN
fcis-28030	25	28	part	part	NOUN
fcis-28030	25	29	,	,	PUNCT
fcis-28030	25	30	cspdarknet	cspdarknet	NOUN
fcis-28030	25	31	(	(	PUNCT
fcis-28030	25	32	cross	cross	NOUN
fcis-28030	25	33	stage	stage	NOUN
fcis-28030	25	34	partial	partial	ADJ
fcis-28030	25	35	)	)	PUNCT
fcis-28030	25	36	,	,	PUNCT
fcis-28030	25	37	which	which	PRON
fcis-28030	25	38	is	be	AUX
fcis-28030	25	39	the	the	DET
fcis-28030	25	40	same	same	ADJ
fcis-28030	25	41	as	as	ADP
fcis-28030	25	42	yolov5[12	yolov5[12	PROPN
fcis-28030	25	43	]	]	PUNCT
fcis-28030	25	44	,	,	PUNCT
fcis-28030	25	45	is	be	AUX
fcis-28030	25	46	used	use	VERB
fcis-28030	25	47	networks	network	NOUN
fcis-28030	25	48	)	)	PUNCT
fcis-28030	25	49	structure	structure	NOUN
fcis-28030	25	50	,	,	PUNCT
fcis-28030	25	51	however	however	ADV
fcis-28030	25	52	,	,	PUNCT
fcis-28030	25	53	by	by	ADP
fcis-28030	25	54	changing	change	VERB
fcis-28030	25	55	the	the	DET
fcis-28030	25	56	convolution	convolution	NOUN
fcis-28030	25	57	of	of	ADP
fcis-28030	25	58	the	the	DET
fcis-28030	25	59	first	first	ADJ
fcis-28030	25	60	layer	layer	NOUN
fcis-28030	25	61	from	from	ADP
fcis-28030	25	62	6	6	NUM
fcis-28030	25	63	*	*	NUM
fcis-28030	25	64	6	6	NUM
fcis-28030	25	65	to	to	PART
fcis-28030	25	66	3	3	NUM
fcis-28030	25	67	*	*	SYM
fcis-28030	25	68	3	3	NUM
fcis-28030	25	69	,	,	PUNCT
fcis-28030	25	70	and	and	CCONJ
fcis-28030	25	71	according	accord	VERB
fcis-28030	25	72	to	to	ADP
fcis-28030	25	73	the	the	DET
fcis-28030	25	74	elan	elan	NOUN
fcis-28030	25	75	(	(	PUNCT
fcis-28030	25	76	efficient	efficient	ADJ
fcis-28030	25	77	layer	layer	NOUN
fcis-28030	25	78	aggregation	aggregation	NOUN
fcis-28030	25	79	networks	network	NOUN
fcis-28030	25	80	)	)	PUNCT
fcis-28030	25	81	of	of	ADP
fcis-28030	25	82	yolov7[13	yolov7[13	PROPN
fcis-28030	25	83	]	]	PUNCT
fcis-28030	25	84	,	,	PUNCT
fcis-28030	25	85	c2f	c2f	PROPN
fcis-28030	25	86	module[14	module[14	PROPN
fcis-28030	25	87	]	]	PUNCT
fcis-28030	25	88	replaces	replace	VERB
fcis-28030	25	89	c3	c3	NOUN
fcis-28030	25	90	module	module	NOUN
fcis-28030	25	91	.	.	PUNCT
fcis-28030	26	1	the	the	DET
fcis-28030	26	2	final	final	ADJ
fcis-28030	26	3	sppf[15](spatial	sppf[15](spatial	ADJ
fcis-28030	26	4	pyramid	pyramid	NOUN
fcis-28030	26	5	pooling	pool	VERB
fcis-28030	26	6	fusion	fusion	NOUN
fcis-28030	26	7	)	)	PUNCT
fcis-28030	26	8	module	module	NOUN
fcis-28030	26	9	is	be	AUX
fcis-28030	26	10	composed	compose	VERB
fcis-28030	26	11	of	of	ADP
fcis-28030	26	12	a	a	DET
fcis-28030	26	13	convolution	convolution	NOUN
fcis-28030	26	14	block	block	NOUN
fcis-28030	26	15	and	and	CCONJ
fcis-28030	26	16	a	a	DET
fcis-28030	26	17	maximum	maximum	ADJ
fcis-28030	26	18	pooling	pool	VERB
fcis-28030	26	19	layer[16	layer[16	NOUN
fcis-28030	26	20	]	]	X
fcis-28030	26	21	(	(	PUNCT
fcis-28030	26	22	max	max	PROPN
fcis-28030	26	23	the	the	DET
fcis-28030	26	24	head	head	NOUN
fcis-28030	26	25	part	part	NOUN
fcis-28030	26	26	is	be	AUX
fcis-28030	26	27	replaced	replace	VERB
fcis-28030	26	28	with	with	ADP
fcis-28030	26	29	the	the	DET
fcis-28030	26	30	mainstream	mainstream	NOUN
fcis-28030	26	31	decoupling	decouple	VERB
fcis-28030	26	32	head	head	NOUN
fcis-28030	26	33	,	,	PUNCT
fcis-28030	26	34	separating	separate	VERB
fcis-28030	26	35	the	the	DET
fcis-28030	26	36	classification	classification	NOUN
fcis-28030	26	37	task	task	NOUN
fcis-28030	26	38	from	from	ADP
fcis-28030	26	39	the	the	DET
fcis-28030	26	40	19	19	NUM
fcis-28030	26	41	detection	detection	NOUN
fcis-28030	26	42	task	task	NOUN
fcis-28030	26	43	,	,	PUNCT
fcis-28030	26	44	that	that	ADV
fcis-28030	26	45	is	is	ADV
fcis-28030	26	46	,	,	PUNCT
fcis-28030	26	47	classification	classification	NOUN
fcis-28030	26	48	loss	loss	NOUN
fcis-28030	26	49	and	and	CCONJ
fcis-28030	26	50	boundary	boundary	ADJ
fcis-28030	26	51	frame	frame	NOUN
fcis-28030	26	52	loss	loss	NOUN
fcis-28030	26	53	,	,	PUNCT
fcis-28030	26	54	so	so	SCONJ
fcis-28030	26	55	that	that	SCONJ
fcis-28030	26	56	the	the	DET
fcis-28030	26	57	model	model	NOUN
fcis-28030	26	58	can	can	AUX
fcis-28030	26	59	pay	pay	VERB
fcis-28030	26	60	more	more	ADJ
fcis-28030	26	61	attention	attention	NOUN
fcis-28030	26	62	to	to	ADP
fcis-28030	26	63	their	their	PRON
fcis-28030	26	64	respective	respective	ADJ
fcis-28030	26	65	focuses	focus	NOUN
fcis-28030	26	66	and	and	CCONJ
fcis-28030	26	67	improve	improve	VERB
fcis-28030	26	68	the	the	DET
fcis-28030	26	69	efficiency	efficiency	NOUN
fcis-28030	26	70	of	of	ADP
fcis-28030	26	71	the	the	DET
fcis-28030	26	72	model	model	NOUN
fcis-28030	26	73	.	.	PUNCT
fcis-28030	27	1	these	these	DET
fcis-28030	27	2	improvements	improvement	NOUN
fcis-28030	27	3	enable	enable	VERB
fcis-28030	27	4	yolov8	yolov8	NOUN
fcis-28030	27	5	to	to	PART
fcis-28030	27	6	achieve	achieve	VERB
fcis-28030	27	7	faster	fast	ADJ
fcis-28030	27	8	detection	detection	NOUN
fcis-28030	27	9	speed	speed	NOUN
fcis-28030	27	10	,	,	PUNCT
fcis-28030	27	11	higher	high	ADJ
fcis-28030	27	12	accuracy	accuracy	NOUN
fcis-28030	27	13	and	and	CCONJ
fcis-28030	27	14	ease	ease	NOUN
fcis-28030	27	15	of	of	ADP
fcis-28030	27	16	use	use	NOUN
fcis-28030	27	17	,	,	PUNCT
fcis-28030	27	18	making	make	VERB
fcis-28030	27	19	it	it	PRON
fcis-28030	27	20	suitable	suitable	ADJ
fcis-28030	27	21	for	for	ADP
fcis-28030	27	22	a	a	DET
fcis-28030	27	23	variety	variety	NOUN
fcis-28030	27	24	of	of	ADP
fcis-28030	27	25	tasks	task	NOUN
fcis-28030	27	26	including	include	VERB
fcis-28030	27	27	target	target	NOUN
fcis-28030	27	28	detection	detection	NOUN
fcis-28030	27	29	,	,	PUNCT
fcis-28030	27	30	tracking	tracking	NOUN
fcis-28030	27	31	,	,	PUNCT
fcis-28030	27	32	instance	instance	NOUN
fcis-28030	27	33	segmentation	segmentation	NOUN
fcis-28030	27	34	,	,	PUNCT
fcis-28030	27	35	image	image	NOUN
fcis-28030	27	36	classification	classification	NOUN
fcis-28030	27	37	and	and	CCONJ
fcis-28030	27	38	attitude	attitude	NOUN
fcis-28030	27	39	estimation	estimation	NOUN
fcis-28030	27	40	.	.	PUNCT
fcis-28030	28	1	the	the	DET
fcis-28030	28	2	structure	structure	NOUN
fcis-28030	28	3	of	of	ADP
fcis-28030	28	4	yolov8	yolov8	PROPN
fcis-28030	28	5	algorithm	algorithm	PROPN
fcis-28030	28	6	model	model	NOUN
fcis-28030	28	7	is	be	AUX
fcis-28030	28	8	shown	show	VERB
fcis-28030	28	9	in	in	ADP
fcis-28030	28	10	figure	figure	NOUN
fcis-28030	28	11	1	1	NUM
fcis-28030	28	12	.	.	NOUN
fcis-28030	28	13	2	2	NUM
fcis-28030	28	14	.	.	NUM
fcis-28030	28	15	improved	improve	VERB
fcis-28030	28	16	yolo	yolo	ADJ
fcis-28030	28	17	small	small	ADJ
fcis-28030	28	18	target	target	NOUN
fcis-28030	28	19	detection	detection	NOUN
fcis-28030	28	20	algorithm	algorithm	NOUN
fcis-28030	28	21	ms	ms	PROPN
fcis-28030	28	22	-	-	PUNCT
fcis-28030	28	23	yolo	yolo	PROPN
fcis-28030	28	24	is	be	AUX
fcis-28030	28	25	a	a	DET
fcis-28030	28	26	new	new	ADJ
fcis-28030	28	27	yolo	yolo	ADJ
fcis-28030	28	28	framework	framework	NOUN
fcis-28030	28	29	based	base	VERB
fcis-28030	28	30	on	on	ADP
fcis-28030	28	31	attention	attention	NOUN
fcis-28030	28	32	scale	scale	NOUN
fcis-28030	28	33	sequence	sequence	NOUN
fcis-28030	28	34	fusion	fusion	NOUN
fcis-28030	28	35	,	,	PUNCT
fcis-28030	28	36	which	which	PRON
fcis-28030	28	37	combines	combine	VERB
fcis-28030	28	38	spatial	spatial	ADJ
fcis-28030	28	39	and	and	CCONJ
fcis-28030	28	40	scale	scale	NOUN
fcis-28030	28	41	features	feature	NOUN
fcis-28030	28	42	to	to	PART
fcis-28030	28	43	achieve	achieve	VERB
fcis-28030	28	44	accurate	accurate	ADJ
fcis-28030	28	45	and	and	CCONJ
fcis-28030	28	46	fast	fast	ADJ
fcis-28030	28	47	small	small	ADJ
fcis-28030	28	48	target	target	NOUN
fcis-28030	28	49	detection	detection	NOUN
fcis-28030	28	50	.	.	PUNCT
fcis-28030	29	1	the	the	DET
fcis-28030	29	2	transformation	transformation	NOUN
fcis-28030	29	3	in	in	ADP
fcis-28030	29	4	this	this	DET
fcis-28030	29	5	paper	paper	NOUN
fcis-28030	29	6	mainly	mainly	ADV
fcis-28030	29	7	includes	include	VERB
fcis-28030	29	8	the	the	DET
fcis-28030	29	9	following	follow	VERB
fcis-28030	29	10	two	two	NUM
fcis-28030	29	11	points	point	NOUN
fcis-28030	29	12	,	,	PUNCT
fcis-28030	29	13	and	and	CCONJ
fcis-28030	29	14	the	the	DET
fcis-28030	29	15	structure	structure	NOUN
fcis-28030	29	16	diagram	diagram	NOUN
fcis-28030	29	17	after	after	SCONJ
fcis-28030	29	18	the	the	DET
fcis-28030	29	19	transformation	transformation	NOUN
fcis-28030	29	20	is	be	AUX
fcis-28030	29	21	shown	show	VERB
fcis-28030	29	22	in	in	ADP
fcis-28030	29	23	figure	figure	NOUN
fcis-28030	29	24	2	2	NUM
fcis-28030	29	25	.	.	PUNCT
fcis-28030	29	26	fig	fig	NOUN
fcis-28030	29	27	2	2	NUM
fcis-28030	29	28	.	.	PUNCT
fcis-28030	30	1	ms	ms	PROPN
fcis-28030	30	2	-	-	PUNCT
fcis-28030	30	3	yolo	yolo	ADJ
fcis-28030	30	4	2.1	2.1	NUM
fcis-28030	30	5	.	.	PUNCT
fcis-28030	30	6	scale	scale	NOUN
fcis-28030	30	7	-	-	PUNCT
fcis-28030	30	8	adaptive	adaptive	ADJ
fcis-28030	30	9	fusion	fusion	NOUN
fcis-28030	30	10	unit	unit	NOUN
fcis-28030	30	11	(	(	PUNCT
fcis-28030	30	12	safu	safu	NOUN
fcis-28030	30	13	)	)	PUNCT
fcis-28030	30	14	scale	scale	NOUN
fcis-28030	30	15	adaptive	adaptive	ADJ
fcis-28030	30	16	fusion	fusion	NOUN
fcis-28030	30	17	unit	unit	NOUN
fcis-28030	30	18	the	the	DET
fcis-28030	30	19	module	module	NOUN
fcis-28030	30	20	is	be	AUX
fcis-28030	30	21	designed	design	VERB
fcis-28030	30	22	to	to	PART
fcis-28030	30	23	improve	improve	VERB
fcis-28030	30	24	the	the	DET
fcis-28030	30	25	performance	performance	NOUN
fcis-28030	30	26	of	of	ADP
fcis-28030	30	27	the	the	DET
fcis-28030	30	28	yolo	yolo	ADJ
fcis-28030	30	29	v8	v8	PROPN
fcis-28030	30	30	algorithm	algorithm	NOUN
fcis-28030	30	31	when	when	SCONJ
fcis-28030	30	32	dealing	deal	VERB
fcis-28030	30	33	with	with	ADP
fcis-28030	30	34	objects	object	NOUN
fcis-28030	30	35	at	at	ADP
fcis-28030	30	36	different	different	ADJ
fcis-28030	30	37	scales	scale	NOUN
fcis-28030	30	38	,	,	PUNCT
fcis-28030	30	39	and	and	CCONJ
fcis-28030	30	40	through	through	ADP
fcis-28030	30	41	its	its	PRON
fcis-28030	30	42	unique	unique	ADJ
fcis-28030	30	43	"	"	PUNCT
fcis-28030	30	44	scale	scale	NOUN
fcis-28030	30	45	adaptive	adaptive	NOUN
fcis-28030	30	46	"	"	PUNCT
fcis-28030	30	47	and	and	CCONJ
fcis-28030	30	48	"	"	PUNCT
fcis-28030	30	49	fusion	fusion	NOUN
fcis-28030	30	50	unit	unit	NOUN
fcis-28030	30	51	"	"	PUNCT
fcis-28030	30	52	functions	function	NOUN
fcis-28030	30	53	,	,	PUNCT
fcis-28030	30	54	it	it	PRON
fcis-28030	30	55	enables	enable	VERB
fcis-28030	30	56	flexible	flexible	ADJ
fcis-28030	30	57	processing	processing	NOUN
fcis-28030	30	58	of	of	ADP
fcis-28030	30	59	input	input	NOUN
fcis-28030	30	60	data	datum	NOUN
fcis-28030	30	61	and	and	CCONJ
fcis-28030	30	62	effective	effective	ADJ
fcis-28030	30	63	fusion	fusion	NOUN
fcis-28030	30	64	of	of	ADP
fcis-28030	30	65	features	feature	NOUN
fcis-28030	30	66	.	.	PUNCT
fcis-28030	31	1	2.1.1	2.1.1	X
fcis-28030	31	2	.	.	PUNCT
fcis-28030	31	3	scale	scale	NOUN
fcis-28030	31	4	adaptive	adaptive	ADJ
fcis-28030	31	5	"	"	PUNCT
fcis-28030	31	6	scale	scale	NOUN
fcis-28030	31	7	adaptive	adaptive	NOUN
fcis-28030	31	8	"	"	PUNCT
fcis-28030	31	9	is	be	AUX
fcis-28030	31	10	one	one	NUM
fcis-28030	31	11	of	of	ADP
fcis-28030	31	12	the	the	DET
fcis-28030	31	13	core	core	NOUN
fcis-28030	31	14	features	feature	NOUN
fcis-28030	31	15	of	of	ADP
fcis-28030	31	16	safu	safu	NOUN
fcis-28030	31	17	module	module	NOUN
fcis-28030	31	18	.	.	PUNCT
fcis-28030	32	1	in	in	ADP
fcis-28030	32	2	actual	actual	ADJ
fcis-28030	32	3	target	target	NOUN
fcis-28030	32	4	detection	detection	NOUN
fcis-28030	32	5	tasks	task	NOUN
fcis-28030	32	6	,	,	PUNCT
fcis-28030	32	7	the	the	DET
fcis-28030	32	8	size	size	NOUN
fcis-28030	32	9	of	of	ADP
fcis-28030	32	10	the	the	DET
fcis-28030	32	11	targets	target	NOUN
fcis-28030	32	12	often	often	ADV
fcis-28030	32	13	varies	vary	VERB
fcis-28030	32	14	greatly	greatly	ADV
fcis-28030	32	15	,	,	PUNCT
fcis-28030	32	16	from	from	ADP
fcis-28030	32	17	tiny	tiny	ADJ
fcis-28030	32	18	insects	insect	NOUN
fcis-28030	32	19	to	to	ADP
fcis-28030	32	20	huge	huge	ADJ
fcis-28030	32	21	buildings	building	NOUN
fcis-28030	32	22	can	can	AUX
fcis-28030	32	23	appear	appear	VERB
fcis-28030	32	24	in	in	ADP
fcis-28030	32	25	the	the	DET
fcis-28030	32	26	same	same	ADJ
fcis-28030	32	27	scene	scene	NOUN
fcis-28030	32	28	.	.	PUNCT
fcis-28030	33	1	traditional	traditional	ADJ
fcis-28030	33	2	target	target	NOUN
fcis-28030	33	3	detection	detection	NOUN
fcis-28030	33	4	algorithms	algorithm	NOUN
fcis-28030	33	5	often	often	ADV
fcis-28030	33	6	have	have	VERB
fcis-28030	33	7	difficulty	difficulty	NOUN
fcis-28030	33	8	in	in	ADP
fcis-28030	33	9	maintaining	maintain	VERB
fcis-28030	33	10	stable	stable	ADJ
fcis-28030	33	11	performance	performance	NOUN
fcis-28030	33	12	when	when	SCONJ
fcis-28030	33	13	dealing	deal	VERB
fcis-28030	33	14	with	with	ADP
fcis-28030	33	15	such	such	ADJ
fcis-28030	33	16	scale	scale	NOUN
fcis-28030	33	17	changes	change	NOUN
fcis-28030	33	18	.	.	PUNCT
fcis-28030	34	1	the	the	DET
fcis-28030	34	2	safu	safu	NOUN
fcis-28030	34	3	module	module	NOUN
fcis-28030	34	4	can	can	AUX
fcis-28030	34	5	automatically	automatically	ADV
fcis-28030	34	6	adjust	adjust	VERB
fcis-28030	34	7	its	its	PRON
fcis-28030	34	8	processing	processing	NOUN
fcis-28030	34	9	strategy	strategy	NOUN
fcis-28030	34	10	according	accord	VERB
fcis-28030	34	11	to	to	ADP
fcis-28030	34	12	the	the	DET
fcis-28030	34	13	size	size	NOUN
fcis-28030	34	14	of	of	ADP
fcis-28030	34	15	the	the	DET
fcis-28030	34	16	object	object	NOUN
fcis-28030	34	17	in	in	ADP
fcis-28030	34	18	the	the	DET
fcis-28030	34	19	input	input	NOUN
fcis-28030	34	20	image	image	NOUN
fcis-28030	34	21	through	through	ADP
fcis-28030	34	22	its	its	PRON
fcis-28030	34	23	built	build	VERB
fcis-28030	34	24	-	-	PUNCT
fcis-28030	34	25	in	in	ADP
fcis-28030	34	26	scale	scale	NOUN
fcis-28030	34	27	adaptive	adaptive	ADJ
fcis-28030	34	28	mechanism	mechanism	NOUN
fcis-28030	34	29	.	.	PUNCT
fcis-28030	35	1	specifically	specifically	ADV
fcis-28030	35	2	,	,	PUNCT
fcis-28030	35	3	the	the	DET
fcis-28030	35	4	safu	safu	NOUN
fcis-28030	35	5	module	module	NOUN
fcis-28030	35	6	contains	contain	VERB
fcis-28030	35	7	a	a	DET
fcis-28030	35	8	number	number	NOUN
fcis-28030	35	9	of	of	ADP
fcis-28030	35	10	feature	feature	NOUN
fcis-28030	35	11	extraction	extraction	NOUN
fcis-28030	35	12	layers	layer	NOUN
fcis-28030	35	13	or	or	CCONJ
fcis-28030	35	14	processing	processing	NOUN
fcis-28030	35	15	units	unit	NOUN
fcis-28030	35	16	of	of	ADP
fcis-28030	35	17	different	different	ADJ
fcis-28030	35	18	scales	scale	NOUN
fcis-28030	35	19	,	,	PUNCT
fcis-28030	35	20	which	which	PRON
fcis-28030	35	21	can	can	AUX
fcis-28030	35	22	be	be	AUX
fcis-28030	35	23	selectively	selectively	ADV
fcis-28030	35	24	activated	activate	VERB
fcis-28030	35	25	or	or	CCONJ
fcis-28030	35	26	suppressed	suppress	VERB
fcis-28030	35	27	according	accord	VERB
fcis-28030	35	28	to	to	ADP
fcis-28030	35	29	different	different	ADJ
fcis-28030	35	30	input	input	NOUN
fcis-28030	35	31	scales	scale	NOUN
fcis-28030	35	32	,	,	PUNCT
fcis-28030	35	33	so	so	SCONJ
fcis-28030	35	34	as	as	SCONJ
fcis-28030	35	35	to	to	PART
fcis-28030	35	36	achieve	achieve	VERB
fcis-28030	35	37	accurate	accurate	ADJ
fcis-28030	35	38	capture	capture	NOUN
fcis-28030	35	39	and	and	CCONJ
fcis-28030	35	40	processing	processing	NOUN
fcis-28030	35	41	of	of	ADP
fcis-28030	35	42	objects	object	NOUN
fcis-28030	35	43	of	of	ADP
fcis-28030	35	44	different	different	ADJ
fcis-28030	35	45	scales	scale	NOUN
fcis-28030	35	46	.	.	PUNCT
fcis-28030	36	1	this	this	DET
fcis-28030	36	2	mechanism	mechanism	NOUN
fcis-28030	36	3	makes	make	VERB
fcis-28030	36	4	the	the	DET
fcis-28030	36	5	safu	safu	NOUN
fcis-28030	36	6	module	module	NOUN
fcis-28030	36	7	more	more	ADV
fcis-28030	36	8	flexible	flexible	ADJ
fcis-28030	36	9	and	and	CCONJ
fcis-28030	36	10	robust	robust	ADJ
fcis-28030	36	11	when	when	SCONJ
fcis-28030	36	12	dealing	deal	VERB
fcis-28030	36	13	with	with	ADP
fcis-28030	36	14	multi	multi	ADJ
fcis-28030	36	15	-	-	ADJ
fcis-28030	36	16	scale	scale	ADJ
fcis-28030	36	17	targets	target	NOUN
fcis-28030	36	18	.	.	PUNCT
fcis-28030	37	1	2.1.2	2.1.2	X
fcis-28030	37	2	.	.	NOUN
fcis-28030	37	3	fusion	fusion	NOUN
fcis-28030	37	4	unit	unit	NOUN
fcis-28030	37	5	the	the	DET
fcis-28030	37	6	"	"	PUNCT
fcis-28030	37	7	fusion	fusion	NOUN
fcis-28030	37	8	unit	unit	NOUN
fcis-28030	37	9	"	"	PUNCT
fcis-28030	37	10	is	be	AUX
fcis-28030	37	11	another	another	DET
fcis-28030	37	12	key	key	ADJ
fcis-28030	37	13	component	component	NOUN
fcis-28030	37	14	of	of	ADP
fcis-28030	37	15	the	the	DET
fcis-28030	37	16	safu	safu	NOUN
fcis-28030	37	17	module	module	NOUN
fcis-28030	37	18	.	.	PUNCT
fcis-28030	38	1	in	in	ADP
fcis-28030	38	2	target	target	NOUN
fcis-28030	38	3	detection	detection	NOUN
fcis-28030	38	4	tasks	task	NOUN
fcis-28030	38	5	,	,	PUNCT
fcis-28030	38	6	the	the	DET
fcis-28030	38	7	effective	effective	ADJ
fcis-28030	38	8	fusion	fusion	NOUN
fcis-28030	38	9	of	of	ADP
fcis-28030	38	10	features	feature	NOUN
fcis-28030	38	11	can	can	AUX
fcis-28030	38	12	improve	improve	VERB
fcis-28030	38	13	the	the	DET
fcis-28030	38	14	performance	performance	NOUN
fcis-28030	38	15	of	of	ADP
fcis-28030	38	16	the	the	DET
fcis-28030	38	17	algorithm	algorithm	NOUN
fcis-28030	38	18	to	to	ADP
fcis-28030	38	19	it	it	PRON
fcis-28030	38	20	's	be	AUX
fcis-28030	38	21	important	important	ADJ
fcis-28030	38	22	.	.	PUNCT
fcis-28030	39	1	through	through	ADP
fcis-28030	39	2	its	its	PRON
fcis-28030	39	3	fusion	fusion	NOUN
fcis-28030	39	4	unit	unit	NOUN
fcis-28030	39	5	,	,	PUNCT
fcis-28030	39	6	the	the	DET
fcis-28030	39	7	safu	safu	NOUN
fcis-28030	39	8	module	module	NOUN
fcis-28030	39	9	can	can	AUX
fcis-28030	39	10	effectively	effectively	ADV
fcis-28030	39	11	fuse	fuse	VERB
fcis-28030	39	12	and	and	CCONJ
fcis-28030	39	13	integrate	integrate	VERB
fcis-28030	39	14	features	feature	NOUN
fcis-28030	39	15	from	from	ADP
fcis-28030	39	16	different	different	ADJ
fcis-28030	39	17	layers	layer	NOUN
fcis-28030	39	18	or	or	CCONJ
fcis-28030	39	19	scales	scale	NOUN
fcis-28030	39	20	to	to	PART
fcis-28030	39	21	generate	generate	VERB
fcis-28030	39	22	a	a	DET
fcis-28030	39	23	richer	rich	ADJ
fcis-28030	39	24	and	and	CCONJ
fcis-28030	39	25	more	more	ADJ
fcis-28030	39	26	discriminative	discriminative	NOUN
fcis-28030	39	27	feature	feature	NOUN
fcis-28030	39	28	representation	representation	NOUN
fcis-28030	39	29	.	.	PUNCT
fcis-28030	40	1	this	this	DET
fcis-28030	40	2	fusion	fusion	NOUN
fcis-28030	40	3	process	process	NOUN
fcis-28030	40	4	involves	involve	VERB
fcis-28030	40	5	a	a	DET
fcis-28030	40	6	variety	variety	NOUN
fcis-28030	40	7	of	of	ADP
fcis-28030	40	8	feature	feature	NOUN
fcis-28030	40	9	fusion	fusion	NOUN
fcis-28030	40	10	strategies	strategy	NOUN
fcis-28030	40	11	,	,	PUNCT
fcis-28030	40	12	such	such	ADJ
fcis-28030	40	13	as	as	ADP
fcis-28030	40	14	feature	feature	NOUN
fcis-28030	40	15	concatenation	concatenation	NOUN
fcis-28030	40	16	,	,	PUNCT
fcis-28030	40	17	feature	feature	NOUN
fcis-28030	40	18	weighting	weighting	NOUN
fcis-28030	40	19	and	and	CCONJ
fcis-28030	40	20	so	so	ADV
fcis-28030	40	21	on	on	ADV
fcis-28030	40	22	.	.	PUNCT
fcis-28030	41	1	through	through	ADP
fcis-28030	41	2	a	a	DET
fcis-28030	41	3	reasonable	reasonable	ADJ
fcis-28030	41	4	fusion	fusion	NOUN
fcis-28030	41	5	strategy	strategy	NOUN
fcis-28030	41	6	,	,	PUNCT
fcis-28030	41	7	safu	safu	NOUN
fcis-28030	41	8	module	module	NOUN
fcis-28030	41	9	can	can	AUX
fcis-28030	41	10	make	make	VERB
fcis-28030	41	11	full	full	ADJ
fcis-28030	41	12	use	use	NOUN
fcis-28030	41	13	of	of	ADP
fcis-28030	41	14	the	the	DET
fcis-28030	41	15	complementarity	complementarity	NOUN
fcis-28030	41	16	between	between	ADP
fcis-28030	41	17	different	different	ADJ
fcis-28030	41	18	layers	layer	NOUN
fcis-28030	41	19	or	or	CCONJ
fcis-28030	41	20	different	different	ADJ
fcis-28030	41	21	scale	scale	NOUN
fcis-28030	41	22	features	feature	NOUN
fcis-28030	41	23	to	to	PART
fcis-28030	41	24	further	far	ADV
fcis-28030	41	25	improve	improve	VERB
fcis-28030	41	26	the	the	DET
fcis-28030	41	27	algorithm	algorithm	NOUN
fcis-28030	41	28	's	's	PART
fcis-28030	41	29	adaptability	adaptability	NOUN
fcis-28030	41	30	to	to	ADP
fcis-28030	41	31	complex	complex	ADJ
fcis-28030	41	32	scenes	scene	NOUN
fcis-28030	41	33	.	.	PUNCT
fcis-28030	42	1	2.2	2.2	NUM
fcis-28030	42	2	.	.	PUNCT
fcis-28030	43	1	multi	multi	ADJ
fcis-28030	43	2	-	-	ADJ
fcis-28030	43	3	dimensional	dimensional	ADJ
fcis-28030	43	4	feature	feature	NOUN
fcis-28030	43	5	integration	integration	NOUN
fcis-28030	43	6	module	module	NOUN
fcis-28030	43	7	multi	multi	ADJ
fcis-28030	43	8	-	-	ADJ
fcis-28030	43	9	dimensional	dimensional	ADJ
fcis-28030	43	10	feature	feature	NOUN
fcis-28030	43	11	integration	integration	NOUN
fcis-28030	43	12	module	module	NOUN
fcis-28030	43	13	(	(	PUNCT
fcis-28030	43	14	mdim	mdim	PROPN
fcis-28030	43	15	)	)	PUNCT
fcis-28030	43	16	the	the	DET
fcis-28030	43	17	mdim	mdim	PROPN
fcis-28030	43	18	module	module	NOUN
fcis-28030	43	19	receives	receive	VERB
fcis-28030	43	20	feature	feature	NOUN
fcis-28030	43	21	maps	map	NOUN
fcis-28030	43	22	from	from	ADP
fcis-28030	43	23	different	different	ADJ
fcis-28030	43	24	layers	layer	NOUN
fcis-28030	43	25	as	as	ADP
fcis-28030	43	26	input	input	NOUN
fcis-28030	43	27	.	.	PUNCT
fcis-28030	44	1	these	these	DET
fcis-28030	44	2	feature	feature	NOUN
fcis-28030	44	3	maps	map	NOUN
fcis-28030	44	4	contain	contain	VERB
fcis-28030	44	5	different	different	ADJ
fcis-28030	44	6	scales	scale	NOUN
fcis-28030	44	7	of	of	ADP
fcis-28030	44	8	information	information	NOUN
fcis-28030	44	9	,	,	PUNCT
fcis-28030	44	10	from	from	ADP
fcis-28030	44	11	low	low	ADJ
fcis-28030	44	12	-	-	PUNCT
fcis-28030	44	13	level	level	NOUN
fcis-28030	44	14	details	detail	NOUN
fcis-28030	44	15	to	to	ADP
fcis-28030	44	16	high	high	ADJ
fcis-28030	44	17	-	-	PUNCT
fcis-28030	44	18	level	level	NOUN
fcis-28030	44	19	global	global	ADJ
fcis-28030	44	20	information	information	NOUN
fcis-28030	44	21	.	.	PUNCT
fcis-28030	45	1	mdim	mdim	NOUN
fcis-28030	45	2	module	module	NOUN
fcis-28030	45	3	fuses	fuse	NOUN
fcis-28030	45	4	and	and	CCONJ
fcis-28030	45	5	encodes	encode	NOUN
fcis-28030	45	6	these	these	DET
fcis-28030	45	7	feature	feature	NOUN
fcis-28030	45	8	maps	map	NOUN
fcis-28030	45	9	of	of	ADP
fcis-28030	45	10	different	different	ADJ
fcis-28030	45	11	scales	scale	NOUN
fcis-28030	45	12	through	through	ADP
fcis-28030	45	13	specific	specific	ADJ
fcis-28030	45	14	coding	code	VERB
fcis-28030	45	15	strategies	strategy	NOUN
fcis-28030	45	16	to	to	PART
fcis-28030	45	17	form	form	VERB
fcis-28030	45	18	a	a	DET
fcis-28030	45	19	comprehensive	comprehensive	ADJ
fcis-28030	45	20	feature	feature	NOUN
fcis-28030	45	21	representation	representation	NOUN
fcis-28030	45	22	.	.	PUNCT
fcis-28030	46	1	specifically	specifically	ADV
fcis-28030	46	2	,	,	PUNCT
fcis-28030	46	3	the	the	DET
fcis-28030	46	4	mdim	mdim	PROPN
fcis-28030	46	5	module	module	NOUN
fcis-28030	46	6	uses	use	VERB
fcis-28030	46	7	operations	operation	NOUN
fcis-28030	46	8	such	such	ADJ
fcis-28030	46	9	as	as	ADP
fcis-28030	46	10	convolution	convolution	NOUN
fcis-28030	46	11	and	and	CCONJ
fcis-28030	46	12	pooling	pool	VERB
fcis-28030	46	13	to	to	PART
fcis-28030	46	14	extract	extract	VERB
fcis-28030	46	15	and	and	CCONJ
fcis-28030	46	16	integrate	integrate	VERB
fcis-28030	46	17	feature	feature	NOUN
fcis-28030	46	18	information	information	NOUN
fcis-28030	46	19	.	.	PUNCT
fcis-28030	47	1	these	these	DET
fcis-28030	47	2	actions	action	NOUN
fcis-28030	47	3	capture	capture	VERB
fcis-28030	47	4	the	the	DET
fcis-28030	47	5	key	key	ADJ
fcis-28030	47	6	information	information	NOUN
fcis-28030	47	7	in	in	ADP
fcis-28030	47	8	the	the	DET
fcis-28030	47	9	feature	feature	NOUN
fcis-28030	47	10	map	map	NOUN
fcis-28030	47	11	and	and	CCONJ
fcis-28030	47	12	fuse	fuse	VERB
fcis-28030	47	13	it	it	PRON
fcis-28030	47	14	together	together	ADV
fcis-28030	47	15	to	to	PART
fcis-28030	47	16	form	form	VERB
fcis-28030	47	17	a	a	DET
fcis-28030	47	18	richer	rich	ADJ
fcis-28030	47	19	and	and	CCONJ
fcis-28030	47	20	more	more	ADV
fcis-28030	47	21	detailed	detailed	ADJ
fcis-28030	47	22	representation	representation	NOUN
fcis-28030	47	23	of	of	ADP
fcis-28030	47	24	the	the	DET
fcis-28030	47	25	feature	feature	NOUN
fcis-28030	47	26	.	.	PUNCT
fcis-28030	48	1	in	in	ADP
fcis-28030	48	2	this	this	DET
fcis-28030	48	3	way	way	NOUN
fcis-28030	48	4	,	,	PUNCT
fcis-28030	48	5	the	the	DET
fcis-28030	48	6	mdim	mdim	PROPN
fcis-28030	48	7	module	module	NOUN
fcis-28030	48	8	is	be	AUX
fcis-28030	48	9	able	able	ADJ
fcis-28030	48	10	to	to	PART
fcis-28030	48	11	enhance	enhance	VERB
fcis-28030	48	12	the	the	DET
fcis-28030	48	13	model	model	NOUN
fcis-28030	48	14	the	the	DET
fcis-28030	48	15	ability	ability	NOUN
fcis-28030	48	16	to	to	PART
fcis-28030	48	17	detect	detect	VERB
fcis-28030	48	18	and	and	CCONJ
fcis-28030	48	19	segment	segment	NOUN
fcis-28030	48	20	objects	object	NOUN
fcis-28030	48	21	of	of	ADP
fcis-28030	48	22	the	the	DET
fcis-28030	48	23	same	same	ADJ
fcis-28030	48	24	scale	scale	NOUN
fcis-28030	48	25	.	.	PUNCT
fcis-28030	49	1	3	3	X
fcis-28030	49	2	.	.	X
fcis-28030	49	3	experiment	experiment	NOUN
fcis-28030	49	4	and	and	CCONJ
fcis-28030	49	5	preliminary	preliminary	ADJ
fcis-28030	49	6	preparation	preparation	NOUN
fcis-28030	49	7	3.1	3.1	NUM
fcis-28030	49	8	.	.	PUNCT
fcis-28030	50	1	experimental	experimental	ADJ
fcis-28030	50	2	data	datum	NOUN
fcis-28030	50	3	the	the	DET
fcis-28030	50	4	data	datum	NOUN
fcis-28030	50	5	set	set	VERB
fcis-28030	50	6	used	use	VERB
fcis-28030	50	7	in	in	ADP
fcis-28030	50	8	the	the	DET
fcis-28030	50	9	experiment	experiment	NOUN
fcis-28030	50	10	is	be	AUX
fcis-28030	50	11	visdrone2019	visdrone2019	PROPN
fcis-28030	50	12	,	,	PUNCT
fcis-28030	50	13	which	which	PRON
fcis-28030	50	14	was	be	AUX
fcis-28030	50	15	released	release	VERB
fcis-28030	50	16	by	by	ADP
fcis-28030	50	17	the	the	DET
fcis-28030	50	18	machine	machine	NOUN
fcis-28030	50	19	learning	learning	NOUN
fcis-28030	50	20	and	and	CCONJ
fcis-28030	50	21	data	datum	NOUN
fcis-28030	50	22	mining	mining	NOUN
fcis-28030	50	23	laboratory	laboratory	NOUN
fcis-28030	50	24	of	of	ADP
fcis-28030	50	25	tianjin	tianjin	PROPN
fcis-28030	50	26	university	university	PROPN
fcis-28030	50	27	,	,	PUNCT
fcis-28030	50	28	and	and	CCONJ
fcis-28030	50	29	contains	contain	VERB
fcis-28030	50	30	6,471	6,471	NUM
fcis-28030	50	31	20	20	NUM
fcis-28030	50	32	training	training	NOUN
fcis-28030	50	33	images	image	NOUN
fcis-28030	50	34	,	,	PUNCT
fcis-28030	50	35	5,480	5,480	NUM
fcis-28030	50	36	verification	verification	NOUN
fcis-28030	50	37	images	image	NOUN
fcis-28030	50	38	and	and	CCONJ
fcis-28030	50	39	1,610	1,610	NUM
fcis-28030	50	40	test	test	NOUN
fcis-28030	50	41	images	image	NOUN
fcis-28030	50	42	,	,	PUNCT
fcis-28030	50	43	with	with	ADP
fcis-28030	50	44	a	a	DET
fcis-28030	50	45	total	total	NOUN
fcis-28030	50	46	of	of	ADP
fcis-28030	50	47	8,629	8,629	NUM
fcis-28030	50	48	still	still	ADV
fcis-28030	50	49	pictures	picture	NOUN
fcis-28030	50	50	taken	take	VERB
fcis-28030	50	51	by	by	ADP
fcis-28030	50	52	drones	drone	NOUN
fcis-28030	50	53	in	in	ADP
fcis-28030	50	54	different	different	ADJ
fcis-28030	50	55	scenes	scene	NOUN
fcis-28030	50	56	.	.	PUNCT
fcis-28030	51	1	the	the	DET
fcis-28030	51	2	data	datum	NOUN
fcis-28030	51	3	set	set	VERB
fcis-28030	51	4	covers	cover	VERB
fcis-28030	51	5	10	10	NUM
fcis-28030	51	6	different	different	ADJ
fcis-28030	51	7	categories	category	NOUN
fcis-28030	51	8	,	,	PUNCT
fcis-28030	51	9	including	include	VERB
fcis-28030	51	10	pedestrians	pedestrian	NOUN
fcis-28030	51	11	,	,	PUNCT
fcis-28030	51	12	bicycles	bicycle	NOUN
fcis-28030	51	13	,	,	PUNCT
fcis-28030	51	14	cars	car	NOUN
fcis-28030	51	15	,	,	PUNCT
fcis-28030	51	16	vans	van	NOUN
fcis-28030	51	17	,	,	PUNCT
fcis-28030	51	18	trucks	truck	NOUN
fcis-28030	51	19	,	,	PUNCT
fcis-28030	51	20	tricycles	tricycle	NOUN
fcis-28030	51	21	,	,	PUNCT
fcis-28030	51	22	awning	awning	NOUN
fcis-28030	51	23	tricycles	tricycle	NOUN
fcis-28030	51	24	,	,	PUNCT
fcis-28030	51	25	buses	bus	NOUN
fcis-28030	51	26	and	and	CCONJ
fcis-28030	51	27	motorcycles	motorcycle	NOUN
fcis-28030	51	28	.	.	PUNCT
fcis-28030	52	1	there	there	PRON
fcis-28030	52	2	are	be	VERB
fcis-28030	52	3	a	a	DET
fcis-28030	52	4	lot	lot	NOUN
fcis-28030	52	5	of	of	ADP
fcis-28030	52	6	small	small	ADJ
fcis-28030	52	7	targets	target	NOUN
fcis-28030	52	8	and	and	CCONJ
fcis-28030	52	9	occlusion	occlusion	NOUN
fcis-28030	52	10	problems	problem	NOUN
fcis-28030	52	11	in	in	ADP
fcis-28030	52	12	the	the	DET
fcis-28030	52	13	data	data	NOUN
fcis-28030	52	14	set	set	VERB
fcis-28030	52	15	,	,	PUNCT
fcis-28030	52	16	which	which	PRON
fcis-28030	52	17	makes	make	VERB
fcis-28030	52	18	the	the	DET
fcis-28030	52	19	detection	detection	NOUN
fcis-28030	52	20	of	of	ADP
fcis-28030	52	21	the	the	DET
fcis-28030	52	22	data	datum	NOUN
fcis-28030	52	23	set	set	VERB
fcis-28030	52	24	very	very	ADV
fcis-28030	52	25	challenging	challenging	ADJ
fcis-28030	52	26	.	.	PUNCT
fcis-28030	53	1	3.2	3.2	NUM
fcis-28030	53	2	.	.	PUNCT
fcis-28030	54	1	experimental	experimental	ADJ
fcis-28030	54	2	environment	environment	NOUN
fcis-28030	54	3	the	the	DET
fcis-28030	54	4	gpu	gpu	NOUN
fcis-28030	54	5	used	use	VERB
fcis-28030	54	6	in	in	ADP
fcis-28030	54	7	the	the	DET
fcis-28030	54	8	experiment	experiment	NOUN
fcis-28030	54	9	is	be	AUX
fcis-28030	54	10	nvidia	nvidia	PROPN
fcis-28030	54	11	3090	3090	NUM
fcis-28030	54	12	24	24	NUM
fcis-28030	54	13	g	g	NOUN
fcis-28030	54	14	,	,	PUNCT
fcis-28030	54	15	using	use	VERB
fcis-28030	54	16	a	a	DET
fcis-28030	54	17	15	15	NUM
fcis-28030	54	18	-	-	PUNCT
fcis-28030	54	19	core	core	NOUN
fcis-28030	54	20	cpu	cpu	NOUN
fcis-28030	54	21	,	,	PUNCT
fcis-28030	54	22	pytorch	pytorch	NOUN
fcis-28030	54	23	framework	framework	NOUN
fcis-28030	54	24	version	version	NOUN
fcis-28030	54	25	2.0.0	2.0.0	NUM
fcis-28030	54	26	,	,	PUNCT
fcis-28030	54	27	python	python	NOUN
fcis-28030	54	28	version	version	NOUN
fcis-28030	54	29	3.8.0	3.8.0	NUM
fcis-28030	54	30	,	,	PUNCT
fcis-28030	54	31	cuda	cuda	NOUN
fcis-28030	54	32	version	version	NOUN
fcis-28030	54	33	11.8	11.8	NUM
fcis-28030	54	34	.	.	PUNCT
fcis-28030	55	1	the	the	DET
fcis-28030	55	2	specific	specific	ADJ
fcis-28030	55	3	experimental	experimental	ADJ
fcis-28030	55	4	parameter	parameter	NOUN
fcis-28030	55	5	settings	setting	NOUN
fcis-28030	55	6	are	be	AUX
fcis-28030	55	7	shown	show	VERB
fcis-28030	55	8	in	in	ADP
fcis-28030	55	9	table	table	NOUN
fcis-28030	55	10	1	1	NUM
fcis-28030	55	11	.	.	PUNCT
fcis-28030	55	12	table	table	NOUN
fcis-28030	55	13	1	1	NUM
fcis-28030	55	14	.	.	PUNCT
fcis-28030	55	15	experimental	experimental	ADJ
fcis-28030	55	16	environment	environment	NOUN
fcis-28030	55	17	3.3	3.3	NUM
fcis-28030	55	18	.	.	PUNCT
fcis-28030	56	1	experimental	experimental	ADJ
fcis-28030	56	2	evaluation	evaluation	NOUN
fcis-28030	56	3	index	index	NOUN
fcis-28030	56	4	when	when	SCONJ
fcis-28030	56	5	evaluating	evaluate	VERB
fcis-28030	56	6	the	the	DET
fcis-28030	56	7	performance	performance	NOUN
fcis-28030	56	8	of	of	ADP
fcis-28030	56	9	yolov8s	yolov8	NOUN
fcis-28030	56	10	,	,	PUNCT
fcis-28030	56	11	it	it	PRON
fcis-28030	56	12	is	be	AUX
fcis-28030	56	13	necessary	necessary	ADJ
fcis-28030	56	14	to	to	PART
fcis-28030	56	15	consider	consider	VERB
fcis-28030	56	16	a	a	DET
fcis-28030	56	17	series	series	NOUN
fcis-28030	56	18	of	of	ADP
fcis-28030	56	19	important	important	ADJ
fcis-28030	56	20	evaluation	evaluation	NOUN
fcis-28030	56	21	indicators	indicator	NOUN
fcis-28030	56	22	.	.	PUNCT
fcis-28030	57	1	using	use	VERB
fcis-28030	57	2	precision	precision	NOUN
fcis-28030	57	3	(	(	PUNCT
fcis-28030	57	4	p	p	NOUN
fcis-28030	57	5	)	)	PUNCT
fcis-28030	57	6	,	,	PUNCT
fcis-28030	57	7	recall	recall	NOUN
fcis-28030	57	8	rate	rate	NOUN
fcis-28030	57	9	(	(	PUNCT
fcis-28030	57	10	r	r	NOUN
fcis-28030	57	11	)	)	PUNCT
fcis-28030	57	12	,	,	PUNCT
fcis-28030	57	13	average	average	ADJ
fcis-28030	57	14	accuracy	accuracy	NOUN
fcis-28030	57	15	(	(	PUNCT
fcis-28030	57	16	fmap	fmap	NOUN
fcis-28030	57	17	)	)	PUNCT
fcis-28030	57	18	and	and	CCONJ
fcis-28030	57	19	other	other	ADJ
fcis-28030	57	20	indicators	indicator	NOUN
fcis-28030	57	21	in	in	ADP
fcis-28030	57	22	the	the	DET
fcis-28030	57	23	final	final	ADJ
fcis-28030	57	24	results	result	NOUN
fcis-28030	57	25	of	of	ADP
fcis-28030	57	26	small	small	ADJ
fcis-28030	57	27	target	target	NOUN
fcis-28030	57	28	detection	detection	NOUN
fcis-28030	57	29	tasks	task	NOUN
fcis-28030	57	30	,	,	PUNCT
fcis-28030	57	31	and	and	CCONJ
fcis-28030	57	32	each	each	DET
fcis-28030	57	33	indicator	indicator	NOUN
fcis-28030	57	34	can	can	AUX
fcis-28030	57	35	be	be	AUX
fcis-28030	57	36	defined	define	VERB
fcis-28030	57	37	by	by	ADP
fcis-28030	57	38	the	the	DET
fcis-28030	57	39	following	follow	VERB
fcis-28030	57	40	formula	formula	NOUN
fcis-28030	57	41	:	:	PUNCT
fcis-28030	57	42	tp	tp	X
fcis-28030	57	43	(	(	PUNCT
fcis-28030	57	44	true	true	ADJ
fcis-28030	57	45	positives	positive	NOUN
fcis-28030	57	46	)	)	PUNCT
fcis-28030	57	47	indicates	indicate	VERB
fcis-28030	57	48	the	the	DET
fcis-28030	57	49	number	number	NOUN
fcis-28030	57	50	of	of	ADP
fcis-28030	57	51	real	real	ADJ
fcis-28030	57	52	defect	defect	NOUN
fcis-28030	57	53	samples	sample	NOUN
fcis-28030	57	54	,	,	PUNCT
fcis-28030	57	55	fp	fp	X
fcis-28030	57	56	(	(	PUNCT
fcis-28030	57	57	false	false	ADJ
fcis-28030	57	58	positives	positive	NOUN
fcis-28030	57	59	)	)	PUNCT
fcis-28030	57	60	indicates	indicate	VERB
fcis-28030	57	61	the	the	DET
fcis-28030	57	62	number	number	NOUN
fcis-28030	57	63	of	of	ADP
fcis-28030	57	64	false	false	ADJ
fcis-28030	57	65	positives	positive	NOUN
fcis-28030	57	66	,	,	PUNCT
fcis-28030	57	67	fn(false	fn(false	ADV
fcis-28030	57	68	negatives	negative	NOUN
fcis-28030	57	69	)	)	PUNCT
fcis-28030	57	70	indicates	indicate	VERB
fcis-28030	57	71	the	the	DET
fcis-28030	57	72	number	number	NOUN
fcis-28030	57	73	of	of	ADP
fcis-28030	57	74	undetected	undetected	ADJ
fcis-28030	57	75	defect	defect	NOUN
fcis-28030	57	76	samples	sample	NOUN
fcis-28030	57	77	,	,	PUNCT
fcis-28030	57	78	and	and	CCONJ
fcis-28030	57	79	n	n	CCONJ
fcis-28030	57	80	indicates	indicate	VERB
fcis-28030	57	81	the	the	DET
fcis-28030	57	82	total	total	ADJ
fcis-28030	57	83	number	number	NOUN
fcis-28030	57	84	of	of	ADP
fcis-28030	57	85	detected	detect	VERB
fcis-28030	57	86	categories	category	NOUN
fcis-28030	57	87	.	.	PUNCT
fcis-28030	58	1	the	the	DET
fcis-28030	58	2	fap	fap	NOUN
fcis-28030	58	3	measures	measure	VERB
fcis-28030	58	4	the	the	DET
fcis-28030	58	5	performance	performance	NOUN
fcis-28030	58	6	of	of	ADP
fcis-28030	58	7	the	the	DET
fcis-28030	58	8	model	model	NOUN
fcis-28030	58	9	by	by	ADP
fcis-28030	58	10	calculating	calculate	VERB
fcis-28030	58	11	the	the	DET
fcis-28030	58	12	area	area	NOUN
fcis-28030	58	13	under	under	ADP
fcis-28030	58	14	the	the	DET
fcis-28030	58	15	precision	precision	NOUN
fcis-28030	58	16	rate	rate	NOUN
fcis-28030	58	17	-	-	PUNCT
fcis-28030	58	18	recall	recall	NOUN
fcis-28030	58	19	curve	curve	NOUN
fcis-28030	58	20	for	for	ADP
fcis-28030	58	21	each	each	DET
fcis-28030	58	22	category	category	NOUN
fcis-28030	58	23	.	.	PUNCT
fcis-28030	59	1	fmap	fmap	NOUN
fcis-28030	59	2	is	be	AUX
fcis-28030	59	3	used	use	VERB
fcis-28030	59	4	to	to	PART
fcis-28030	59	5	measure	measure	VERB
fcis-28030	59	6	the	the	DET
fcis-28030	59	7	performance	performance	NOUN
fcis-28030	59	8	of	of	ADP
fcis-28030	59	9	a	a	DET
fcis-28030	59	10	target	target	NOUN
fcis-28030	59	11	detection	detection	NOUN
fcis-28030	59	12	model	model	NOUN
fcis-28030	59	13	across	across	ADP
fcis-28030	59	14	multiple	multiple	ADJ
fcis-28030	59	15	categories	category	NOUN
fcis-28030	59	16	because	because	SCONJ
fcis-28030	59	17	it	it	PRON
fcis-28030	59	18	takes	take	VERB
fcis-28030	59	19	into	into	ADP
fcis-28030	59	20	account	account	NOUN
fcis-28030	59	21	the	the	DET
fcis-28030	59	22	performance	performance	NOUN
fcis-28030	59	23	of	of	ADP
fcis-28030	59	24	each	each	DET
fcis-28030	59	25	category	category	NOUN
fcis-28030	59	26	rather	rather	ADV
fcis-28030	59	27	than	than	ADP
fcis-28030	59	28	just	just	ADV
fcis-28030	59	29	a	a	DET
fcis-28030	59	30	single	single	ADJ
fcis-28030	59	31	category	category	NOUN
fcis-28030	59	32	.	.	PUNCT
fcis-28030	60	1	4	4	X
fcis-28030	60	2	.	.	NOUN
fcis-28030	60	3	model	model	NOUN
fcis-28030	60	4	training	training	NOUN
fcis-28030	60	5	and	and	CCONJ
fcis-28030	60	6	result	result	VERB
fcis-28030	60	7	analysis	analysis	NOUN
fcis-28030	60	8	4.1	4.1	NUM
fcis-28030	60	9	.	.	PUNCT
fcis-28030	60	10	model	model	NOUN
fcis-28030	60	11	test	test	NOUN
fcis-28030	60	12	result	result	NOUN
fcis-28030	60	13	in	in	ADP
fcis-28030	60	14	order	order	NOUN
fcis-28030	60	15	to	to	PART
fcis-28030	60	16	verify	verify	VERB
fcis-28030	60	17	the	the	DET
fcis-28030	60	18	effectiveness	effectiveness	NOUN
fcis-28030	60	19	of	of	ADP
fcis-28030	60	20	ms	ms	ADJ
fcis-28030	60	21	-	-	PUNCT
fcis-28030	60	22	p2	p2	NOUN
fcis-28030	60	23	-	-	PUNCT
fcis-28030	60	24	yolo	yolo	NOUN
fcis-28030	60	25	proposed	propose	VERB
fcis-28030	60	26	in	in	ADP
fcis-28030	60	27	this	this	DET
fcis-28030	60	28	paper	paper	NOUN
fcis-28030	60	29	,	,	PUNCT
fcis-28030	60	30	ablation	ablation	NOUN
fcis-28030	60	31	experiments	experiment	NOUN
fcis-28030	60	32	were	be	AUX
fcis-28030	60	33	conducted	conduct	VERB
fcis-28030	60	34	on	on	ADP
fcis-28030	60	35	yolov8s	yolov8	NOUN
fcis-28030	60	36	,	,	PUNCT
fcis-28030	60	37	ms	ms	PROPN
fcis-28030	60	38	-	-	PUNCT
fcis-28030	60	39	yolo	yolo	PROPN
fcis-28030	60	40	and	and	CCONJ
fcis-28030	60	41	ms	ms	ADJ
fcis-28030	60	42	-	-	PUNCT
fcis-28030	60	43	p2	p2	NOUN
fcis-28030	60	44	-	-	PUNCT
fcis-28030	60	45	yolo	yolo	NOUN
fcis-28030	60	46	.	.	PUNCT
fcis-28030	61	1	the	the	DET
fcis-28030	61	2	specific	specific	ADJ
fcis-28030	61	3	parameters	parameter	NOUN
fcis-28030	61	4	are	be	AUX
fcis-28030	61	5	shown	show	VERB
fcis-28030	61	6	in	in	ADP
fcis-28030	61	7	table	table	NOUN
fcis-28030	61	8	2	2	NUM
fcis-28030	61	9	.	.	PUNCT
fcis-28030	62	1	as	as	SCONJ
fcis-28030	62	2	can	can	AUX
fcis-28030	62	3	be	be	AUX
fcis-28030	62	4	seen	see	VERB
fcis-28030	62	5	from	from	ADP
fcis-28030	62	6	table	table	NOUN
fcis-28030	62	7	1	1	NUM
fcis-28030	62	8	,	,	PUNCT
fcis-28030	62	9	ms	ms	PROPN
fcis-28030	62	10	-	-	PUNCT
fcis-28030	62	11	yolo	yolo	PROPN
fcis-28030	62	12	and	and	CCONJ
fcis-28030	62	13	yolov8s	yolov8	NOUN
fcis-28030	62	14	have	have	VERB
fcis-28030	62	15	similar	similar	ADJ
fcis-28030	62	16	detection	detection	NOUN
fcis-28030	62	17	capabilities	capability	NOUN
fcis-28030	62	18	.	.	PUNCT
fcis-28030	63	1	however	however	ADV
fcis-28030	63	2	,	,	PUNCT
fcis-28030	63	3	after	after	ADP
fcis-28030	63	4	integrating	integrate	VERB
fcis-28030	63	5	the	the	DET
fcis-28030	63	6	small	small	ADJ
fcis-28030	63	7	target	target	NOUN
fcis-28030	63	8	detection	detection	NOUN
fcis-28030	63	9	layer	layer	NOUN
fcis-28030	63	10	on	on	ADP
fcis-28030	63	11	the	the	DET
fcis-28030	63	12	basis	basis	NOUN
fcis-28030	63	13	of	of	ADP
fcis-28030	63	14	ms	ms	PROPN
fcis-28030	63	15	-	-	PUNCT
fcis-28030	63	16	yolo	yolo	PROPN
fcis-28030	63	17	,	,	PUNCT
fcis-28030	63	18	the	the	PRON
fcis-28030	63	19	obtained	obtain	VERB
fcis-28030	63	20	ms	ms	NOUN
fcis-28030	63	21	-	-	PUNCT
fcis-28030	63	22	p2	p2	NOUN
fcis-28030	63	23	-	-	PUNCT
fcis-28030	63	24	yolo	yolo	NOUN
fcis-28030	63	25	improves	improve	VERB
fcis-28030	63	26	the	the	DET
fcis-28030	63	27	detection	detection	NOUN
fcis-28030	63	28	ability	ability	NOUN
fcis-28030	63	29	of	of	ADP
fcis-28030	63	30	small	small	ADJ
fcis-28030	63	31	targets	target	NOUN
fcis-28030	63	32	by	by	ADP
fcis-28030	63	33	optimizing	optimize	VERB
fcis-28030	63	34	the	the	DET
fcis-28030	63	35	network	network	NOUN
fcis-28030	63	36	structure	structure	NOUN
fcis-28030	63	37	,	,	PUNCT
fcis-28030	63	38	and	and	CCONJ
fcis-28030	63	39	the	the	DET
fcis-28030	63	40	accuracy	accuracy	NOUN
fcis-28030	63	41	is	be	AUX
fcis-28030	63	42	increased	increase	VERB
fcis-28030	63	43	by	by	ADP
fcis-28030	63	44	12.9	12.9	NUM
fcis-28030	63	45	%	%	NOUN
fcis-28030	63	46	.	.	PUNCT
fcis-28030	64	1	at	at	ADP
fcis-28030	64	2	the	the	DET
fcis-28030	64	3	same	same	ADJ
fcis-28030	64	4	time	time	NOUN
fcis-28030	64	5	,	,	PUNCT
fcis-28030	64	6	the	the	DET
fcis-28030	64	7	number	number	NOUN
fcis-28030	64	8	of	of	ADP
fcis-28030	64	9	parameters	parameter	NOUN
fcis-28030	64	10	is	be	AUX
fcis-28030	64	11	reduced	reduce	VERB
fcis-28030	64	12	by	by	ADP
fcis-28030	64	13	4	4	NUM
fcis-28030	64	14	%	%	NOUN
fcis-28030	64	15	.	.	PUNCT
fcis-28030	65	1	in	in	ADP
fcis-28030	65	2	summary	summary	NOUN
fcis-28030	65	3	,	,	PUNCT
fcis-28030	65	4	it	it	PRON
fcis-28030	65	5	can	can	AUX
fcis-28030	65	6	be	be	AUX
fcis-28030	65	7	seen	see	VERB
fcis-28030	65	8	that	that	SCONJ
fcis-28030	65	9	ms	ms	PROPN
fcis-28030	65	10	-	-	PUNCT
fcis-28030	65	11	p2	p2	NOUN
fcis-28030	65	12	-	-	PUNCT
fcis-28030	65	13	yolo	yolo	NOUN
fcis-28030	65	14	,	,	PUNCT
fcis-28030	65	15	while	while	SCONJ
fcis-28030	65	16	maintaining	maintain	VERB
fcis-28030	65	17	high	high	ADJ
fcis-28030	65	18	detection	detection	NOUN
fcis-28030	65	19	accuracy	accuracy	NOUN
fcis-28030	65	20	,	,	PUNCT
fcis-28030	65	21	reduces	reduce	VERB
fcis-28030	65	22	the	the	DET
fcis-28030	65	23	computational	computational	ADJ
fcis-28030	65	24	complexity	complexity	NOUN
fcis-28030	65	25	and	and	CCONJ
fcis-28030	65	26	the	the	DET
fcis-28030	65	27	demand	demand	NOUN
fcis-28030	65	28	for	for	ADP
fcis-28030	65	29	hardware	hardware	NOUN
fcis-28030	65	30	resources	resource	NOUN
fcis-28030	65	31	,	,	PUNCT
fcis-28030	65	32	which	which	PRON
fcis-28030	65	33	makes	make	VERB
fcis-28030	65	34	the	the	DET
fcis-28030	65	35	detection	detection	NOUN
fcis-28030	65	36	of	of	ADP
fcis-28030	65	37	small	small	ADJ
fcis-28030	65	38	targets	target	NOUN
fcis-28030	65	39	more	more	ADV
fcis-28030	65	40	efficient	efficient	ADJ
fcis-28030	65	41	and	and	CCONJ
fcis-28030	65	42	accurate	accurate	ADJ
fcis-28030	65	43	.	.	PUNCT
fcis-28030	66	1	table	table	NOUN
fcis-28030	66	2	2	2	NUM
fcis-28030	66	3	.	.	PUNCT
fcis-28030	66	4	model	model	NOUN
fcis-28030	66	5	comparison	comparison	NOUN
fcis-28030	66	6	experiment	experiment	NOUN
fcis-28030	66	7	4.2	4.2	NUM
fcis-28030	66	8	.	.	PUNCT
fcis-28030	67	1	ablation	ablation	NOUN
fcis-28030	67	2	experiment	experiment	NOUN
fcis-28030	67	3	from	from	ADP
fcis-28030	67	4	the	the	DET
fcis-28030	67	5	detailed	detailed	ADJ
fcis-28030	67	6	data	datum	NOUN
fcis-28030	67	7	in	in	ADP
fcis-28030	67	8	table	table	NOUN
fcis-28030	67	9	2	2	NUM
fcis-28030	67	10	,	,	PUNCT
fcis-28030	67	11	we	we	PRON
fcis-28030	67	12	can	can	AUX
fcis-28030	67	13	see	see	VERB
fcis-28030	67	14	the	the	DET
fcis-28030	67	15	remarkable	remarkable	ADJ
fcis-28030	67	16	performance	performance	NOUN
fcis-28030	67	17	improvement	improvement	NOUN
fcis-28030	67	18	of	of	ADP
fcis-28030	67	19	yolov8s	yolov8	NOUN
fcis-28030	67	20	model	model	NOUN
fcis-28030	67	21	after	after	ADP
fcis-28030	67	22	a	a	DET
fcis-28030	67	23	series	series	NOUN
fcis-28030	67	24	of	of	ADP
fcis-28030	67	25	careful	careful	ADJ
fcis-28030	67	26	optimization	optimization	NOUN
fcis-28030	67	27	and	and	CCONJ
fcis-28030	67	28	improvement	improvement	NOUN
fcis-28030	67	29	.	.	PUNCT
fcis-28030	68	1	the	the	DET
fcis-28030	68	2	original	original	ADJ
fcis-28030	68	3	yolov8s	yolov8	NOUN
fcis-28030	68	4	without	without	ADP
fcis-28030	68	5	additional	additional	ADJ
fcis-28030	68	6	improvements	improvement	NOUN
fcis-28030	68	7	has	have	AUX
fcis-28030	68	8	demonstrated	demonstrate	VERB
fcis-28030	68	9	excellent	excellent	ADJ
fcis-28030	68	10	detection	detection	NOUN
fcis-28030	68	11	accuracy	accuracy	NOUN
fcis-28030	68	12	(	(	PUNCT
fcis-28030	68	13	37.2	37.2	NUM
fcis-28030	68	14	%	%	NOUN
fcis-28030	68	15	fmap	fmap	NOUN
fcis-28030	68	16	)	)	PUNCT
fcis-28030	68	17	and	and	CCONJ
fcis-28030	68	18	moderate	moderate	ADJ
fcis-28030	68	19	model	model	NOUN
fcis-28030	68	20	size	size	NOUN
fcis-28030	68	21	(	(	PUNCT
fcis-28030	68	22	44.6million	44.6million	NOUN
fcis-28030	68	23	)	)	PUNCT
fcis-28030	68	24	.	.	PUNCT
fcis-28030	69	1	however	however	ADV
fcis-28030	69	2	,	,	PUNCT
fcis-28030	69	3	after	after	ADP
fcis-28030	69	4	the	the	DET
fcis-28030	69	5	introduction	introduction	NOUN
fcis-28030	69	6	of	of	ADP
fcis-28030	69	7	ms	ms	PROPN
fcis-28030	69	8	-	-	PUNCT
fcis-28030	69	9	yolo	yolo	ADJ
fcis-28030	69	10	improved	improved	ADJ
fcis-28030	69	11	network	network	NOUN
fcis-28030	69	12	,	,	PUNCT
fcis-28030	69	13	the	the	DET
fcis-28030	69	14	model	model	NOUN
fcis-28030	69	15	performance	performance	NOUN
fcis-28030	69	16	ushered	usher	VERB
fcis-28030	69	17	in	in	ADP
fcis-28030	69	18	a	a	DET
fcis-28030	69	19	qualitative	qualitative	ADJ
fcis-28030	69	20	leap	leap	NOUN
fcis-28030	69	21	,	,	PUNCT
fcis-28030	69	22	the	the	DET
fcis-28030	69	23	detection	detection	NOUN
fcis-28030	69	24	accuracy	accuracy	NOUN
fcis-28030	69	25	was	be	AUX
fcis-28030	69	26	increased	increase	VERB
fcis-28030	69	27	from	from	ADP
fcis-28030	69	28	37.2	37.2	NUM
fcis-28030	69	29	%	%	NOUN
fcis-28030	69	30	to	to	ADP
fcis-28030	69	31	47.3	47.3	NUM
fcis-28030	69	32	%	%	NOUN
fcis-28030	69	33	,	,	PUNCT
fcis-28030	69	34	and	and	CCONJ
fcis-28030	69	35	the	the	DET
fcis-28030	69	36	number	number	NOUN
fcis-28030	69	37	of	of	ADP
fcis-28030	69	38	parameters	parameter	NOUN
fcis-28030	69	39	was	be	AUX
fcis-28030	69	40	significantly	significantly	ADV
fcis-28030	69	41	reduced	reduce	VERB
fcis-28030	69	42	to	to	ADP
fcis-28030	69	43	42.6million	42.6million	NOUN
fcis-28030	69	44	,	,	PUNCT
fcis-28030	69	45	realizing	realize	VERB
fcis-28030	69	46	the	the	DET
fcis-28030	69	47	initial	initial	ADJ
fcis-28030	69	48	optimization	optimization	NOUN
fcis-28030	69	49	of	of	ADP
fcis-28030	69	50	the	the	DET
fcis-28030	69	51	model	model	NOUN
fcis-28030	69	52	performance	performance	NOUN
fcis-28030	69	53	.	.	PUNCT
fcis-28030	70	1	furthermore	furthermore	ADV
fcis-28030	70	2	,	,	PUNCT
fcis-28030	70	3	when	when	SCONJ
fcis-28030	70	4	p2	p2	PROPN
fcis-28030	70	5	small	small	ADJ
fcis-28030	70	6	target	target	NOUN
fcis-28030	70	7	detection	detection	NOUN
fcis-28030	70	8	layer	layer	NOUN
fcis-28030	70	9	technology	technology	NOUN
fcis-28030	70	10	is	be	AUX
fcis-28030	70	11	integrated	integrate	VERB
fcis-28030	70	12	on	on	ADP
fcis-28030	70	13	the	the	DET
fcis-28030	70	14	basis	basis	NOUN
fcis-28030	70	15	of	of	ADP
fcis-28030	70	16	ms	ms	PROPN
fcis-28030	70	17	-	-	PUNCT
fcis-28030	70	18	yolo	yolo	PROPN
fcis-28030	70	19	,	,	PUNCT
fcis-28030	70	20	the	the	DET
fcis-28030	70	21	performance	performance	NOUN
fcis-28030	70	22	of	of	ADP
fcis-28030	70	23	the	the	DET
fcis-28030	70	24	model	model	NOUN
fcis-28030	70	25	is	be	AUX
fcis-28030	70	26	improved	improve	VERB
fcis-28030	70	27	more	more	ADV
fcis-28030	70	28	significantly	significantly	ADV
fcis-28030	70	29	.	.	PUNCT
fcis-28030	71	1	the	the	DET
fcis-28030	71	2	fmap	fmap	NOUN
fcis-28030	71	3	value	value	NOUN
fcis-28030	71	4	21	21	NUM
fcis-28030	71	5	climbed	climb	VERB
fcis-28030	71	6	further	far	ADV
fcis-28030	71	7	,	,	PUNCT
fcis-28030	71	8	to	to	ADP
fcis-28030	71	9	50.1	50.1	NUM
fcis-28030	71	10	%	%	NOUN
fcis-28030	71	11	,	,	PUNCT
fcis-28030	71	12	while	while	SCONJ
fcis-28030	71	13	the	the	DET
fcis-28030	71	14	number	number	NOUN
fcis-28030	71	15	of	of	ADP
fcis-28030	71	16	parameters	parameter	NOUN
fcis-28030	71	17	fell	fall	VERB
fcis-28030	71	18	by	by	ADP
fcis-28030	71	19	another	another	DET
fcis-28030	71	20	1.9million	1.9million	PROPN
fcis-28030	71	21	.	.	PUNCT
fcis-28030	72	1	this	this	DET
fcis-28030	72	2	result	result	NOUN
fcis-28030	72	3	fully	fully	ADV
fcis-28030	72	4	demonstrates	demonstrate	VERB
fcis-28030	72	5	that	that	SCONJ
fcis-28030	72	6	ms	ms	PROPN
fcis-28030	72	7	-	-	PUNCT
fcis-28030	72	8	p2	p2	NOUN
fcis-28030	72	9	-	-	PUNCT
fcis-28030	72	10	yolo	yolo	NOUN
fcis-28030	72	11	can	can	AUX
fcis-28030	72	12	efficiently	efficiently	ADV
fcis-28030	72	13	retain	retain	VERB
fcis-28030	72	14	critical	critical	ADJ
fcis-28030	72	15	information	information	NOUN
fcis-28030	72	16	while	while	SCONJ
fcis-28030	72	17	reducing	reduce	VERB
fcis-28030	72	18	model	model	NOUN
fcis-28030	72	19	complexity	complexity	NOUN
fcis-28030	72	20	,	,	PUNCT
fcis-28030	72	21	thus	thus	ADV
fcis-28030	72	22	greatly	greatly	ADV
fcis-28030	72	23	improving	improve	VERB
fcis-28030	72	24	detection	detection	NOUN
fcis-28030	72	25	accuracy	accuracy	NOUN
fcis-28030	72	26	.	.	PUNCT
fcis-28030	73	1	4.3	4.3	NUM
fcis-28030	73	2	.	.	PUNCT
fcis-28030	73	3	result	result	VERB
fcis-28030	73	4	analysis	analysis	NOUN
fcis-28030	73	5	in	in	ADP
fcis-28030	73	6	order	order	NOUN
fcis-28030	73	7	to	to	PART
fcis-28030	73	8	verify	verify	VERB
fcis-28030	73	9	the	the	DET
fcis-28030	73	10	effectiveness	effectiveness	NOUN
fcis-28030	73	11	of	of	ADP
fcis-28030	73	12	the	the	DET
fcis-28030	73	13	proposed	propose	VERB
fcis-28030	73	14	algorithm	algorithm	NOUN
fcis-28030	73	15	in	in	ADP
fcis-28030	73	16	the	the	DET
fcis-28030	73	17	transmission	transmission	NOUN
fcis-28030	73	18	line	line	NOUN
fcis-28030	73	19	insulator	insulator	NOUN
fcis-28030	73	20	defect	defect	NOUN
fcis-28030	73	21	detection	detection	NOUN
fcis-28030	73	22	task	task	NOUN
fcis-28030	73	23	,	,	PUNCT
fcis-28030	73	24	lightweight	lightweight	NOUN
fcis-28030	73	25	yolov5s	yolov5s	PROPN
fcis-28030	74	1	[	[	X
fcis-28030	74	2	17	17	NUM
fcis-28030	74	3	]	]	PUNCT
fcis-28030	74	4	,	,	PUNCT
fcis-28030	74	5	yolov8s	yolov8s	PROPN
fcis-28030	74	6	,	,	PUNCT
fcis-28030	74	7	atss	atss	PROPN
fcis-28030	74	8	[	[	X
fcis-28030	74	9	18	18	NUM
fcis-28030	74	10	]	]	PUNCT
fcis-28030	74	11	,	,	PUNCT
fcis-28030	74	12	tood	tood	PROPN
fcis-28030	75	1	[	[	X
fcis-28030	75	2	19	19	NUM
fcis-28030	75	3	]	]	PUNCT
fcis-28030	75	4	,	,	PUNCT
fcis-28030	75	5	and	and	CCONJ
fcis-28030	75	6	fast	fast	ADJ
fcis-28030	75	7	-	-	PUNCT
fcis-28030	75	8	rcnn	rcnn	NOUN
fcis-28030	75	9	[	[	X
fcis-28030	75	10	20	20	NUM
fcis-28030	75	11	]	]	PUNCT
fcis-28030	75	12	are	be	AUX
fcis-28030	75	13	selected	select	VERB
fcis-28030	75	14	as	as	ADP
fcis-28030	75	15	comparison	comparison	NOUN
fcis-28030	75	16	algorithms	algorithm	NOUN
fcis-28030	75	17	.	.	PUNCT
fcis-28030	76	1	in	in	ADP
fcis-28030	76	2	the	the	DET
fcis-28030	76	3	experiment	experiment	NOUN
fcis-28030	76	4	,	,	PUNCT
fcis-28030	76	5	the	the	DET
fcis-28030	76	6	mean	mean	ADJ
fcis-28030	76	7	accuracy	accuracy	NOUN
fcis-28030	76	8	was	be	AUX
fcis-28030	76	9	used	use	VERB
fcis-28030	76	10	as	as	ADP
fcis-28030	76	11	the	the	DET
fcis-28030	76	12	evaluation	evaluation	NOUN
fcis-28030	76	13	index	index	NOUN
fcis-28030	76	14	,	,	PUNCT
fcis-28030	76	15	where	where	SCONJ
fcis-28030	76	16	the	the	DET
fcis-28030	76	17	crossover	crossover	NOUN
fcis-28030	76	18	ratio	ratio	NOUN
fcis-28030	76	19	(	(	PUNCT
fcis-28030	76	20	iou	iou	NOUN
fcis-28030	76	21	)	)	PUNCT
fcis-28030	76	22	threshold	threshold	NOUN
fcis-28030	76	23	was	be	AUX
fcis-28030	76	24	set	set	VERB
fcis-28030	76	25	at	at	ADP
fcis-28030	76	26	0.5	0.5	NUM
fcis-28030	76	27	.	.	PUNCT
fcis-28030	77	1	the	the	DET
fcis-28030	77	2	experimental	experimental	ADJ
fcis-28030	77	3	results	result	NOUN
fcis-28030	77	4	are	be	AUX
fcis-28030	77	5	shown	show	VERB
fcis-28030	77	6	in	in	ADP
fcis-28030	77	7	table	table	NOUN
fcis-28030	77	8	3	3	NUM
fcis-28030	77	9	.	.	PUNCT
fcis-28030	78	1	as	as	SCONJ
fcis-28030	78	2	can	can	AUX
fcis-28030	78	3	be	be	AUX
fcis-28030	78	4	seen	see	VERB
fcis-28030	78	5	from	from	ADP
fcis-28030	78	6	table	table	NOUN
fcis-28030	78	7	3	3	NUM
fcis-28030	78	8	,	,	PUNCT
fcis-28030	78	9	the	the	DET
fcis-28030	78	10	proposed	propose	VERB
fcis-28030	78	11	algorithm	algorithm	NOUN
fcis-28030	78	12	is	be	AUX
fcis-28030	78	13	at	at	ADP
fcis-28030	78	14	least	least	ADV
fcis-28030	78	15	12.9	12.9	NUM
fcis-28030	78	16	%	%	NOUN
fcis-28030	78	17	higher	high	ADJ
fcis-28030	78	18	than	than	ADP
fcis-28030	78	19	the	the	DET
fcis-28030	78	20	other	other	ADJ
fcis-28030	78	21	five	five	NUM
fcis-28030	78	22	comparison	comparison	NOUN
fcis-28030	78	23	algorithms	algorithm	NOUN
fcis-28030	78	24	in	in	ADP
fcis-28030	78	25	fmap	fmap	NOUN
fcis-28030	78	26	on	on	ADP
fcis-28030	78	27	the	the	DET
fcis-28030	78	28	premise	premise	NOUN
fcis-28030	78	29	that	that	SCONJ
fcis-28030	78	30	the	the	DET
fcis-28030	78	31	model	model	NOUN
fcis-28030	78	32	size	size	NOUN
fcis-28030	78	33	meets	meet	VERB
fcis-28030	78	34	the	the	DET
fcis-28030	78	35	requirements	requirement	NOUN
fcis-28030	78	36	of	of	ADP
fcis-28030	78	37	edge	edge	NOUN
fcis-28030	78	38	computing	computing	NOUN
fcis-28030	78	39	deployment	deployment	NOUN
fcis-28030	78	40	.	.	PUNCT
fcis-28030	79	1	this	this	DET
fcis-28030	79	2	significant	significant	ADJ
fcis-28030	79	3	performance	performance	NOUN
fcis-28030	79	4	improvement	improvement	NOUN
fcis-28030	79	5	fully	fully	ADV
fcis-28030	79	6	proves	prove	VERB
fcis-28030	79	7	that	that	SCONJ
fcis-28030	79	8	the	the	DET
fcis-28030	79	9	proposed	propose	VERB
fcis-28030	79	10	algorithm	algorithm	NOUN
fcis-28030	79	11	has	have	VERB
fcis-28030	79	12	higher	high	ADJ
fcis-28030	79	13	accuracy	accuracy	NOUN
fcis-28030	79	14	in	in	ADP
fcis-28030	79	15	small	small	ADJ
fcis-28030	79	16	target	target	NOUN
fcis-28030	79	17	detection	detection	NOUN
fcis-28030	79	18	tasks	task	NOUN
fcis-28030	79	19	.	.	PUNCT
fcis-28030	80	1	at	at	ADP
fcis-28030	80	2	the	the	DET
fcis-28030	80	3	same	same	ADJ
fcis-28030	80	4	time	time	NOUN
fcis-28030	80	5	,	,	PUNCT
fcis-28030	80	6	it	it	PRON
fcis-28030	80	7	is	be	AUX
fcis-28030	80	8	worth	worth	ADJ
fcis-28030	80	9	noting	note	VERB
fcis-28030	80	10	that	that	SCONJ
fcis-28030	80	11	the	the	DET
fcis-28030	80	12	number	number	NOUN
fcis-28030	80	13	of	of	ADP
fcis-28030	80	14	parameters	parameter	NOUN
fcis-28030	80	15	of	of	ADP
fcis-28030	80	16	the	the	DET
fcis-28030	80	17	algorithm	algorithm	NOUN
fcis-28030	80	18	in	in	ADP
fcis-28030	80	19	this	this	DET
fcis-28030	80	20	paper	paper	NOUN
fcis-28030	80	21	is	be	AUX
fcis-28030	80	22	only	only	ADV
fcis-28030	80	23	42.6	42.6	NUM
fcis-28030	80	24	million	million	NUM
fcis-28030	80	25	,	,	PUNCT
fcis-28030	80	26	which	which	PRON
fcis-28030	80	27	makes	make	VERB
fcis-28030	80	28	the	the	DET
fcis-28030	80	29	algorithm	algorithm	NOUN
fcis-28030	80	30	more	more	ADV
fcis-28030	80	31	efficient	efficient	ADJ
fcis-28030	80	32	in	in	ADP
fcis-28030	80	33	small	small	ADJ
fcis-28030	80	34	target	target	NOUN
fcis-28030	80	35	detection	detection	NOUN
fcis-28030	80	36	and	and	CCONJ
fcis-28030	80	37	further	far	ADV
fcis-28030	80	38	improves	improve	VERB
fcis-28030	80	39	its	its	PRON
fcis-28030	80	40	feasibility	feasibility	NOUN
fcis-28030	80	41	in	in	ADP
fcis-28030	80	42	practical	practical	ADJ
fcis-28030	80	43	applications	application	NOUN
fcis-28030	80	44	.	.	PUNCT
fcis-28030	81	1	table	table	NOUN
fcis-28030	81	2	3	3	NUM
fcis-28030	81	3	.	.	PUNCT
fcis-28030	81	4	comparative	comparative	ADJ
fcis-28030	81	5	experiment	experiment	NOUN
fcis-28030	81	6	5	5	NUM
fcis-28030	81	7	.	.	PUNCT
fcis-28030	81	8	conclusion	conclusion	NOUN
fcis-28030	81	9	aiming	aim	VERB
fcis-28030	81	10	at	at	ADP
fcis-28030	81	11	the	the	DET
fcis-28030	81	12	requirement	requirement	NOUN
fcis-28030	81	13	of	of	ADP
fcis-28030	81	14	high	high	ADJ
fcis-28030	81	15	preparation	preparation	NOUN
fcis-28030	81	16	rate	rate	NOUN
fcis-28030	81	17	of	of	ADP
fcis-28030	81	18	small	small	ADJ
fcis-28030	81	19	target	target	NOUN
fcis-28030	81	20	detection	detection	NOUN
fcis-28030	81	21	task	task	NOUN
fcis-28030	82	1	,	,	PUNCT
fcis-28030	82	2	this	this	DET
fcis-28030	82	3	paper	paper	NOUN
fcis-28030	82	4	proposes	propose	VERB
fcis-28030	82	5	a	a	DET
fcis-28030	82	6	lightweight	lightweight	ADJ
fcis-28030	82	7	yolovs8	yolovs8	NOUN
fcis-28030	82	8	algorithm	algorithm	NOUN
fcis-28030	82	9	,	,	PUNCT
fcis-28030	82	10	and	and	CCONJ
fcis-28030	82	11	the	the	DET
fcis-28030	82	12	conclusions	conclusion	NOUN
fcis-28030	82	13	are	be	AUX
fcis-28030	82	14	as	as	SCONJ
fcis-28030	82	15	follows	follow	VERB
fcis-28030	82	16	:	:	PUNCT
fcis-28030	82	17	(	(	PUNCT
fcis-28030	82	18	1	1	X
fcis-28030	82	19	)	)	PUNCT
fcis-28030	82	20	the	the	DET
fcis-28030	82	21	yolov8s	yolov8	NOUN
fcis-28030	82	22	algorithm	algorithm	NOUN
fcis-28030	82	23	,	,	PUNCT
fcis-28030	82	24	based	base	VERB
fcis-28030	82	25	on	on	ADP
fcis-28030	82	26	both	both	CCONJ
fcis-28030	82	27	real	real	ADJ
fcis-28030	82	28	-	-	PUNCT
fcis-28030	82	29	time	time	NOUN
fcis-28030	82	30	and	and	CCONJ
fcis-28030	82	31	high	high	ADJ
fcis-28030	82	32	precision	precision	NOUN
fcis-28030	82	33	,	,	PUNCT
fcis-28030	82	34	reduces	reduce	VERB
fcis-28030	82	35	the	the	DET
fcis-28030	82	36	technical	technical	ADJ
fcis-28030	82	37	difficulty	difficulty	NOUN
fcis-28030	82	38	of	of	ADP
fcis-28030	82	39	subsequent	subsequent	ADJ
fcis-28030	82	40	optimization	optimization	NOUN
fcis-28030	82	41	by	by	ADP
fcis-28030	82	42	its	its	PRON
fcis-28030	82	43	excellent	excellent	ADJ
fcis-28030	82	44	performance	performance	NOUN
fcis-28030	82	45	and	and	CCONJ
fcis-28030	82	46	robustness	robustness	NOUN
fcis-28030	82	47	,	,	PUNCT
fcis-28030	82	48	and	and	CCONJ
fcis-28030	82	49	provides	provide	VERB
fcis-28030	82	50	a	a	DET
fcis-28030	82	51	solid	solid	ADJ
fcis-28030	82	52	foundation	foundation	NOUN
fcis-28030	82	53	for	for	ADP
fcis-28030	82	54	the	the	DET
fcis-28030	82	55	detection	detection	NOUN
fcis-28030	82	56	of	of	ADP
fcis-28030	82	57	small	small	ADJ
fcis-28030	82	58	targets	target	NOUN
fcis-28030	82	59	.	.	PUNCT
fcis-28030	83	1	(	(	PUNCT
fcis-28030	83	2	2	2	X
fcis-28030	83	3	)	)	PUNCT
fcis-28030	83	4	using	use	VERB
fcis-28030	83	5	ms	ms	PROPN
fcis-28030	83	6	-	-	PUNCT
fcis-28030	83	7	yolo	yolo	ADJ
fcis-28030	83	8	model	model	NOUN
fcis-28030	83	9	to	to	PART
fcis-28030	83	10	add	add	VERB
fcis-28030	83	11	small	small	ADJ
fcis-28030	83	12	target	target	NOUN
fcis-28030	83	13	detection	detection	NOUN
fcis-28030	83	14	layer	layer	NOUN
fcis-28030	83	15	,	,	PUNCT
fcis-28030	83	16	the	the	DET
fcis-28030	83	17	number	number	NOUN
fcis-28030	83	18	of	of	ADP
fcis-28030	83	19	algorithm	algorithm	NOUN
fcis-28030	83	20	parameters	parameter	NOUN
fcis-28030	83	21	is	be	AUX
fcis-28030	83	22	significantly	significantly	ADV
fcis-28030	83	23	reduced	reduce	VERB
fcis-28030	83	24	by	by	ADP
fcis-28030	83	25	4	4	NUM
fcis-28030	83	26	%	%	NOUN
fcis-28030	83	27	,	,	PUNCT
fcis-28030	83	28	while	while	SCONJ
fcis-28030	83	29	the	the	DET
fcis-28030	83	30	accuracy	accuracy	NOUN
fcis-28030	83	31	is	be	AUX
fcis-28030	83	32	increased	increase	VERB
fcis-28030	83	33	by	by	ADP
fcis-28030	83	34	12.9	12.9	NUM
fcis-28030	83	35	%	%	NOUN
fcis-28030	83	36	.	.	PUNCT
fcis-28030	84	1	this	this	DET
fcis-28030	84	2	innovative	innovative	ADJ
fcis-28030	84	3	strategy	strategy	NOUN
fcis-28030	84	4	not	not	PART
fcis-28030	84	5	only	only	ADV
fcis-28030	84	6	optimizes	optimize	VERB
fcis-28030	84	7	the	the	DET
fcis-28030	84	8	model	model	NOUN
fcis-28030	84	9	performance	performance	NOUN
fcis-28030	84	10	,	,	PUNCT
fcis-28030	84	11	but	but	CCONJ
fcis-28030	84	12	also	also	ADV
fcis-28030	84	13	improves	improve	VERB
fcis-28030	84	14	the	the	DET
fcis-28030	84	15	detection	detection	NOUN
fcis-28030	84	16	ability	ability	NOUN
fcis-28030	84	17	of	of	ADP
fcis-28030	84	18	small	small	ADJ
fcis-28030	84	19	targets	target	NOUN
fcis-28030	84	20	,	,	PUNCT
fcis-28030	84	21	ensuring	ensure	VERB
fcis-28030	84	22	the	the	DET
fcis-28030	84	23	accuracy	accuracy	NOUN
fcis-28030	84	24	and	and	CCONJ
fcis-28030	84	25	reliability	reliability	NOUN
fcis-28030	84	26	of	of	ADP
fcis-28030	84	27	detection	detection	NOUN
fcis-28030	84	28	results	result	NOUN
fcis-28030	84	29	.	.	PUNCT
fcis-28030	85	1	(	(	PUNCT
fcis-28030	85	2	3	3	X
fcis-28030	85	3	)	)	PUNCT
fcis-28030	85	4	in	in	ADP
fcis-28030	85	5	order	order	NOUN
fcis-28030	85	6	to	to	PART
fcis-28030	85	7	deal	deal	VERB
fcis-28030	85	8	with	with	ADP
fcis-28030	85	9	more	more	ADJ
fcis-28030	85	10	complex	complex	ADJ
fcis-28030	85	11	detection	detection	NOUN
fcis-28030	85	12	scenarios	scenario	NOUN
fcis-28030	85	13	,	,	PUNCT
fcis-28030	85	14	this	this	DET
fcis-28030	85	15	paper	paper	NOUN
fcis-28030	85	16	uses	use	VERB
fcis-28030	85	17	the	the	DET
fcis-28030	85	18	publicly	publicly	ADV
fcis-28030	85	19	available	available	ADJ
fcis-28030	85	20	uav	uav	PROPN
fcis-28030	85	21	data	datum	NOUN
fcis-28030	85	22	set	set	VERB
fcis-28030	85	23	visdrone2019	visdrone2019	PROPN
fcis-28030	85	24	for	for	ADP
fcis-28030	85	25	training	training	NOUN
fcis-28030	85	26	.	.	PUNCT
fcis-28030	86	1	in	in	ADP
fcis-28030	86	2	the	the	DET
fcis-28030	86	3	future	future	NOUN
fcis-28030	86	4	,	,	PUNCT
fcis-28030	86	5	we	we	PRON
fcis-28030	86	6	plan	plan	VERB
fcis-28030	86	7	to	to	PART
fcis-28030	86	8	further	far	ADV
fcis-28030	86	9	deploy	deploy	VERB
fcis-28030	86	10	the	the	DET
fcis-28030	86	11	proposed	propose	VERB
fcis-28030	86	12	algorithm	algorithm	NOUN
fcis-28030	86	13	in	in	ADP
fcis-28030	86	14	the	the	DET
fcis-28030	86	15	equipment	equipment	NOUN
fcis-28030	86	16	for	for	ADP
fcis-28030	86	17	small	small	ADJ
fcis-28030	86	18	target	target	NOUN
fcis-28030	86	19	detection	detection	NOUN
fcis-28030	86	20	to	to	PART
fcis-28030	86	21	verify	verify	VERB
fcis-28030	86	22	and	and	CCONJ
fcis-28030	86	23	further	far	ADV
fcis-28030	86	24	improve	improve	VERB
fcis-28030	86	25	its	its	PRON
fcis-28030	86	26	performance	performance	NOUN
fcis-28030	86	27	in	in	ADP
fcis-28030	86	28	practical	practical	ADJ
fcis-28030	86	29	applications	application	NOUN
fcis-28030	86	30	.	.	PUNCT
fcis-28030	87	1	references	reference	NOUN
fcis-28030	87	2	[	[	X
fcis-28030	87	3	1	1	NUM
fcis-28030	87	4	]	]	X
fcis-28030	87	5	li	li	PROPN
fcis-28030	88	1	q	q	PROPN
fcis-28030	88	2	,	,	PUNCT
fcis-28030	88	3	zhao	zhao	PROPN
fcis-28030	88	4	f	f	PROPN
fcis-28030	88	5	,	,	PUNCT
fcis-28030	88	6	xu	xu	PROPN
fcis-28030	89	1	z	z	X
fcis-28030	89	2	,	,	PUNCT
fcis-28030	89	3	et	et	PROPN
fcis-28030	89	4	al	al	PROPN
fcis-28030	89	5	.	.	PUNCT
fcis-28030	89	6	insulator	insulator	NOUN
fcis-28030	89	7	and	and	CCONJ
fcis-28030	89	8	damage	damage	NOUN
fcis-28030	89	9	detection	detection	NOUN
fcis-28030	89	10	and	and	CCONJ
fcis-28030	89	11	location	location	NOUN
fcis-28030	89	12	based	base	VERB
fcis-28030	89	13	on	on	ADP
fcis-28030	89	14	yolov5[c]//proceedings	yolov5[c]//proceeding	NOUN
fcis-28030	89	15	of	of	ADP
fcis-28030	89	16	the	the	DET
fcis-28030	89	17	international	international	ADJ
fcis-28030	89	18	conference	conference	NOUN
fcis-28030	89	19	on	on	ADP
fcis-28030	89	20	power	power	NOUN
fcis-28030	89	21	energy	energy	NOUN
fcis-28030	89	22	systems	system	NOUN
fcis-28030	89	23	and	and	CCONJ
fcis-28030	89	24	applications	application	NOUN
fcis-28030	89	25	.	.	PUNCT
fcis-28030	90	1	piscataway	piscataway	PROPN
fcis-28030	90	2	:	:	PUNCT
fcis-28030	90	3	ieee	ieee	NOUN
fcis-28030	90	4	press	press	NOUN
fcis-28030	90	5	,	,	PUNCT
fcis-28030	90	6	2022	2022	NUM
fcis-28030	90	7	:	:	PUNCT
fcis-28030	90	8	17	17	NUM
fcis-28030	90	9	-	-	SYM
fcis-28030	90	10	24	24	NUM
fcis-28030	90	11	.	.	PUNCT
fcis-28030	91	1	[	[	X
fcis-28030	91	2	2	2	X
fcis-28030	91	3	]	]	X
fcis-28030	91	4	han	han	NOUN
fcis-28030	91	5	g	g	PROPN
fcis-28030	91	6	,	,	PUNCT
fcis-28030	91	7	li	li	PROPN
fcis-28030	91	8	t	t	PROPN
fcis-28030	91	9	,	,	PUNCT
fcis-28030	91	10	li	li	PROPN
fcis-28030	91	11	q	q	PROPN
fcis-28030	91	12	,	,	PUNCT
fcis-28030	91	13	et	et	PROPN
fcis-28030	91	14	al	al	PROPN
fcis-28030	91	15	.	.	PROPN
fcis-28030	91	16	improved	improve	VERB
fcis-28030	91	17	algorithm	algorithm	NOUN
fcis-28030	91	18	for	for	ADP
fcis-28030	91	19	insulator	insulator	NOUN
fcis-28030	91	20	and	and	CCONJ
fcis-28030	91	21	its	its	PRON
fcis-28030	91	22	defect	defect	NOUN
fcis-28030	91	23	detection	detection	NOUN
fcis-28030	91	24	based	base	VERB
fcis-28030	91	25	on	on	ADP
fcis-28030	91	26	yolox[j	yolox[j	NOUN
fcis-28030	91	27	]	]	PUNCT
fcis-28030	91	28	.	.	PUNCT
fcis-28030	92	1	sensors	sensor	NOUN
fcis-28030	92	2	,	,	PUNCT
fcis-28030	92	3	2022	2022	NUM
fcis-28030	92	4	,	,	PUNCT
fcis-28030	92	5	22(16	22(16	NUM
fcis-28030	92	6	):	):	PUNCT
fcis-28030	92	7	6186	6186	NUM
fcis-28030	92	8	.	.	PUNCT
fcis-28030	93	1	[	[	X
fcis-28030	93	2	3	3	X
fcis-28030	93	3	]	]	X
fcis-28030	93	4	zhang	zhang	PROPN
fcis-28030	93	5	y	y	PROPN
fcis-28030	93	6	,	,	PUNCT
fcis-28030	93	7	wu	wu	PROPN
fcis-28030	93	8	z	z	PROPN
fcis-28030	93	9	,	,	PUNCT
fcis-28030	93	10	wang	wang	PROPN
fcis-28030	93	11	x	x	PROPN
fcis-28030	93	12	,	,	PUNCT
fcis-28030	93	13	et	et	PROPN
fcis-28030	93	14	al	al	PROPN
fcis-28030	93	15	.	.	PROPN
fcis-28030	93	16	improved	improve	VERB
fcis-28030	93	17	yolov8	yolov8	NOUN
fcis-28030	93	18	insulator	insulator	NOUN
fcis-28030	93	19	fault	fault	NOUN
fcis-28030	93	20	detection	detection	NOUN
fcis-28030	93	21	algorithm	algorithm	NOUN
fcis-28030	93	22	based	base	VERB
fcis-28030	93	23	on	on	ADP
fcis-28030	93	24	biformer	biformer	PROPN
fcis-28030	94	1	[	[	X
fcis-28030	94	2	c]//	c]//	ADJ
fcis-28030	94	3	proceedings	proceeding	NOUN
fcis-28030	94	4	of	of	ADP
fcis-28030	94	5	the	the	DET
fcis-28030	94	6	ieee	ieee	NOUN
fcis-28030	94	7	5th	5th	ADJ
fcis-28030	94	8	international	international	ADJ
fcis-28030	94	9	conference	conference	NOUN
fcis-28030	94	10	on	on	ADP
fcis-28030	94	11	power	power	NOUN
fcis-28030	94	12	,	,	PUNCT
fcis-28030	94	13	intelligent	intelligent	ADJ
fcis-28030	94	14	computing	computing	NOUN
fcis-28030	94	15	and	and	CCONJ
fcis-28030	94	16	systems	system	NOUN
fcis-28030	94	17	.	.	PUNCT
fcis-28030	95	1	piscataway	piscataway	PROPN
fcis-28030	95	2	:	:	PUNCT
fcis-28030	95	3	ieee	ieee	NOUN
fcis-28030	95	4	press	press	NOUN
fcis-28030	95	5	,	,	PUNCT
fcis-28030	95	6	2023	2023	NUM
fcis-28030	95	7	:	:	PUNCT
fcis-28030	95	8	962	962	NUM
fcis-28030	95	9	-	-	SYM
fcis-28030	95	10	965	965	NUM
fcis-28030	95	11	.	.	PUNCT
fcis-28030	96	1	[	[	X
fcis-28030	96	2	4	4	NUM
fcis-28030	96	3	]	]	SYM
fcis-28030	96	4	li	li	PROPN
fcis-28030	96	5	y	y	PROPN
fcis-28030	96	6	,	,	PUNCT
fcis-28030	96	7	wei	wei	PROPN
fcis-28030	96	8	s	s	PROPN
fcis-28030	96	9	,	,	PUNCT
fcis-28030	96	10	liu	liu	PROPN
fcis-28030	96	11	x	x	PROPN
fcis-28030	96	12	,	,	PUNCT
fcis-28030	96	13	et	et	PROPN
fcis-28030	96	14	al	al	PROPN
fcis-28030	96	15	.	.	PUNCT
fcis-28030	97	1	an	an	DET
fcis-28030	97	2	improved	improved	ADJ
fcis-28030	97	3	insulator	insulator	NOUN
fcis-28030	97	4	and	and	CCONJ
fcis-28030	97	5	spacer	spacer	NOUN
fcis-28030	97	6	detection	detection	NOUN
fcis-28030	97	7	algorithm	algorithm	NOUN
fcis-28030	97	8	based	base	VERB
fcis-28030	97	9	on	on	ADP
fcis-28030	97	10	dual	dual	ADJ
fcis-28030	97	11	network	network	NOUN
fcis-28030	97	12	and	and	CCONJ
fcis-28030	97	13	ssd[j	ssd[j	NOUN
fcis-28030	97	14	]	]	PUNCT
fcis-28030	97	15	.	.	PUNCT
fcis-28030	98	1	ieice	ieice	NOUN
fcis-28030	98	2	transactions	transaction	NOUN
fcis-28030	98	3	on	on	ADP
fcis-28030	98	4	information	information	NOUN
fcis-28030	98	5	and	and	CCONJ
fcis-28030	98	6	systems	system	NOUN
fcis-28030	98	7	,	,	PUNCT
fcis-28030	98	8	2023	2023	NUM
fcis-28030	98	9	,	,	PUNCT
fcis-28030	98	10	106(5	106(5	NUM
fcis-28030	98	11	):	):	PUNCT
fcis-28030	98	12	662672	662672	NUM
fcis-28030	98	13	.	.	PUNCT
fcis-28030	99	1	[	[	X
fcis-28030	99	2	5	5	X
fcis-28030	99	3	]	]	PUNCT
fcis-28030	99	4	yang	yang	PROPN
fcis-28030	99	5	w	w	PROPN
fcis-28030	99	6	,	,	PUNCT
fcis-28030	99	7	bo	bo	PROPN
fcis-28030	99	8	d	d	NOUN
fcis-28030	99	9	,	,	PUNCT
fcis-28030	99	10	tong	tong	PROPN
fcis-28030	99	11	l	l	PROPN
fcis-28030	99	12	s.	s.	PROPN
fcis-28030	99	13	ts	ts	PROPN
fcis-28030	99	14	-	-	PUNCT
fcis-28030	99	15	yolo	yolo	PROPN
fcis-28030	99	16	:	:	PUNCT
fcis-28030	99	17	an	an	DET
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fcis-28030	99	19	yolo	yolo	ADJ
fcis-28030	99	20	network	network	NOUN
fcis-28030	99	21	for	for	ADP
fcis-28030	99	22	multi	multi	ADJ
fcis-28030	99	23	-	-	ADJ
fcis-28030	99	24	scale	scale	ADJ
fcis-28030	99	25	object	object	NOUN
fcis-28030	99	26	detection[c]//proceedings	detection[c]//proceeding	NOUN
fcis-28030	99	27	of	of	ADP
fcis-28030	99	28	the	the	DET
fcis-28030	99	29	ieee	ieee	NOUN
fcis-28030	99	30	6th	6th	NOUN
fcis-28030	99	31	information	information	NOUN
fcis-28030	99	32	technology	technology	NOUN
fcis-28030	99	33	and	and	CCONJ
fcis-28030	99	34	mechatronics	mechatronic	NOUN
fcis-28030	99	35	engineering	engineering	NOUN
fcis-28030	99	36	conference	conference	NOUN
fcis-28030	99	37	.	.	PUNCT
fcis-28030	100	1	piscataway	piscataway	PROPN
fcis-28030	100	2	:	:	PUNCT
fcis-28030	100	3	ieee	ieee	NOUN
fcis-28030	100	4	press	press	NOUN
fcis-28030	100	5	,	,	PUNCT
fcis-28030	100	6	2022	2022	NUM
fcis-28030	100	7	:	:	PUNCT
fcis-28030	100	8	656660	656660	NUM
fcis-28030	100	9	.	.	PUNCT
fcis-28030	101	1	[	[	X
fcis-28030	101	2	6	6	NUM
fcis-28030	101	3	]	]	X
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fcis-28030	101	9	,	,	PUNCT
fcis-28030	101	10	chen	chen	PROPN
fcis-28030	101	11	j	j	PROPN
fcis-28030	101	12	,	,	PUNCT
fcis-28030	101	13	et	et	PROPN
fcis-28030	101	14	al	al	PROPN
fcis-28030	101	15	.	.	PUNCT
fcis-28030	101	16	insu	insu	PROPN
fcis-28030	101	17	-	-	PUNCT
fcis-28030	101	18	yolo	yolo	PROPN
fcis-28030	101	19	:	:	PUNCT
fcis-28030	101	20	an	an	DET
fcis-28030	101	21	insulator	insulator	NOUN
fcis-28030	101	22	defect	defect	NOUN
fcis-28030	101	23	detection	detection	NOUN
fcis-28030	101	24	algorithm	algorithm	NOUN
fcis-28030	101	25	based	base	VERB
fcis-28030	101	26	on	on	ADP
fcis-28030	101	27	multiscale	multiscale	ADJ
fcis-28030	101	28	feature	feature	NOUN
fcis-28030	101	29	fusion[j	fusion[j	PROPN
fcis-28030	101	30	]	]	PUNCT
fcis-28030	101	31	.	.	PUNCT
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fcis-28030	102	2	,	,	PUNCT
fcis-28030	102	3	2023	2023	NUM
fcis-28030	102	4	,	,	PUNCT
fcis-28030	102	5	12(15	12(15	NUM
fcis-28030	102	6	):	):	PUNCT
fcis-28030	102	7	3210	3210	NUM
fcis-28030	102	8	.	.	PUNCT
fcis-28030	103	1	[	[	X
fcis-28030	103	2	7	7	X
fcis-28030	103	3	]	]	X
fcis-28030	103	4	gao	gao	PROPN
fcis-28030	103	5	z	z	PROPN
fcis-28030	103	6	,	,	PUNCT
fcis-28030	103	7	yang	yang	PROPN
fcis-28030	103	8	g	g	PROPN
fcis-28030	103	9	,	,	PUNCT
fcis-28030	103	10	li	li	PROPN
fcis-28030	103	11	e	e	PROPN
fcis-28030	103	12	,	,	PUNCT
fcis-28030	103	13	et	et	PROPN
fcis-28030	103	14	al	al	PROPN
fcis-28030	103	15	.	.	PROPN
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fcis-28030	103	17	feature	feature	NOUN
fcis-28030	103	18	fusion	fusion	NOUN
fcis-28030	103	19	modulebased	modulebased	ADJ
fcis-28030	103	20	detector	detector	NOUN
fcis-28030	103	21	for	for	ADP
fcis-28030	103	22	small	small	ADJ
fcis-28030	103	23	insulator	insulator	NOUN
fcis-28030	103	24	defect	defect	NOUN
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fcis-28030	103	26	]	]	PUNCT
fcis-28030	103	27	.	.	PUNCT
fcis-28030	104	1	ieee	ieee	PROPN
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fcis-28030	104	4	,	,	PUNCT
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fcis-28030	104	6	,	,	PUNCT
fcis-28030	104	7	21(15	21(15	PROPN
fcis-28030	104	8	):	):	PUNCT
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fcis-28030	104	10	-	-	SYM
fcis-28030	104	11	16814	16814	NUM
fcis-28030	104	12	.	.	PUNCT
fcis-28030	105	1	[	[	X
fcis-28030	105	2	8	8	NUM
fcis-28030	105	3	]	]	X
fcis-28030	105	4	mussina	mussina	PROPN
fcis-28030	105	5	d	d	PROPN
fcis-28030	105	6	,	,	PUNCT
fcis-28030	105	7	irmanova	irmanova	PROPN
fcis-28030	105	8	a	a	X
fcis-28030	105	9	,	,	PUNCT
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fcis-28030	105	11	p	p	PROPN
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fcis-28030	105	16	.	.	PUNCT
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fcis-28030	105	18	data	datum	NOUN
fcis-28030	105	19	fusion	fusion	NOUN
fcis-28030	105	20	using	use	VERB
fcis-28030	105	21	deep	deep	ADJ
fcis-28030	105	22	neural	neural	ADJ
fcis-28030	105	23	network	network	NOUN
fcis-28030	105	24	for	for	ADP
fcis-28030	105	25	condition	condition	NOUN
fcis-28030	105	26	monitoring	monitoring	NOUN
fcis-28030	105	27	of	of	ADP
fcis-28030	105	28	high	high	ADJ
fcis-28030	105	29	voltage	voltage	NOUN
fcis-28030	105	30	insulator[j	insulator[j	NOUN
fcis-28030	105	31	]	]	PUNCT
fcis-28030	105	32	.	.	PUNCT
fcis-28030	106	1	ieee	ieee	NOUN
fcis-28030	106	2	access	access	NOUN
fcis-28030	106	3	,	,	PUNCT
fcis-28030	106	4	2020	2020	NUM
fcis-28030	106	5	,	,	PUNCT
fcis-28030	106	6	8	8	NUM
fcis-28030	106	7	:	:	SYM
fcis-28030	106	8	184486	184486	NUM
fcis-28030	106	9	-	-	SYM
fcis-28030	106	10	184496	184496	NUM
fcis-28030	106	11	.	.	PUNCT
fcis-28030	107	1	[	[	X
fcis-28030	107	2	9	9	NUM
fcis-28030	107	3	]	]	PUNCT
fcis-28030	107	4	yu	yu	PROPN
fcis-28030	107	5	y	y	PROPN
fcis-28030	107	6	,	,	PUNCT
fcis-28030	107	7	cao	cao	PROPN
fcis-28030	107	8	h	h	PROPN
fcis-28030	107	9	,	,	PUNCT
fcis-28030	107	10	wang	wang	PROPN
fcis-28030	107	11	z	z	PROPN
fcis-28030	107	12	,	,	PUNCT
fcis-28030	107	13	et	et	PROPN
fcis-28030	107	14	al	al	PROPN
fcis-28030	107	15	.	.	PUNCT
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fcis-28030	107	17	-	-	PUNCT
fcis-28030	107	18	and	and	CCONJ
fcis-28030	107	19	-	-	PUNCT
fcis-28030	107	20	shape	shape	NOUN
fcis-28030	107	21	based	base	VERB
fcis-28030	107	22	active	active	ADJ
fcis-28030	107	23	contour	contour	NOUN
fcis-28030	107	24	model	model	NOUN
fcis-28030	107	25	for	for	ADP
fcis-28030	107	26	insulator	insulator	NOUN
fcis-28030	107	27	segmentation[j	segmentation[j	PROPN
fcis-28030	107	28	]	]	PUNCT
fcis-28030	107	29	.	.	PUNCT
fcis-28030	108	1	ieee	ieee	NOUN
fcis-28030	108	2	access	access	NOUN
fcis-28030	108	3	,	,	PUNCT
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fcis-28030	108	5	,	,	PUNCT
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fcis-28030	108	7	:	:	SYM
fcis-28030	108	8	78706	78706	NUM
fcis-28030	108	9	-	-	SYM
fcis-28030	108	10	78714	78714	NUM
fcis-28030	108	11	.	.	PUNCT
fcis-28030	109	1	[	[	X
fcis-28030	109	2	10	10	NUM
fcis-28030	109	3	]	]	X
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fcis-28030	109	5	z	z	PROPN
fcis-28030	109	6	x	x	PROPN
fcis-28030	109	7	,	,	PUNCT
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fcis-28030	109	9	q.	q.	PROPN
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fcis-28030	109	11	algorithm	algorithm	NOUN
fcis-28030	109	12	for	for	ADP
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fcis-28030	109	14	target	target	NOUN
fcis-28030	109	15	detection	detection	NOUN
fcis-28030	109	16	in	in	ADP
fcis-28030	109	17	uav	uav	PROPN
fcis-28030	109	18	aerial	aerial	ADJ
fcis-28030	109	19	images	image	NOUN
fcis-28030	109	20	based	base	VERB
fcis-28030	109	21	on	on	ADP
fcis-28030	109	22	yolo	yolo	NOUN
fcis-28030	109	23	-	-	PUNCT
fcis-28030	109	24	v7	v7	VERB
fcis-28030	110	1	[	[	X
fcis-28030	110	2	j	j	X
fcis-28030	110	3	]	]	X
fcis-28030	110	4	.	.	PUNCT
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fcis-28030	111	2	guide	guide	NOUN
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fcis-28030	111	4	2024	2024	NUM
fcis-28030	111	5	,	,	PUNCT
fcis-28030	111	6	23(1	23(1	NUM
fcis-28030	111	7	):	):	PUNCT
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fcis-28030	111	9	-	-	SYM
fcis-28030	111	10	172	172	NUM
fcis-28030	111	11	.	.	PUNCT
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fcis-28030	112	2	11	11	NUM
fcis-28030	112	3	]	]	X
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fcis-28030	112	6	,	,	PUNCT
fcis-28030	112	7	wei	wei	PROPN
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fcis-28030	112	9	,	,	PUNCT
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fcis-28030	112	11	c	c	PROPN
fcis-28030	112	12	y	y	PROPN
fcis-28030	112	13	,	,	PUNCT
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fcis-28030	112	15	al	al	PROPN
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fcis-28030	112	18	yolov8s	yolov8	NOUN
fcis-28030	112	19	model	model	NOUN
fcis-28030	112	20	for	for	ADP
fcis-28030	112	21	small	small	ADJ
fcis-28030	112	22	object	object	NOUN
fcis-28030	112	23	detection	detection	NOUN
fcis-28030	112	24	from	from	ADP
fcis-28030	112	25	perspective	perspective	NOUN
fcis-28030	112	26	of	of	ADP
fcis-28030	112	27	drones	drone	NOUN
fcis-28030	113	1	[	[	X
fcis-28030	113	2	j	j	X
fcis-28030	113	3	]	]	X
fcis-28030	113	4	.	.	PUNCT
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fcis-28030	115	3	]	]	X
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fcis-28030	115	5	q	q	PROPN
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fcis-28030	115	18	in	in	ADP
fcis-28030	115	19	uav	uav	PROPN
fcis-28030	115	20	images	image	NOUN
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fcis-28030	115	23	ndmyolov8[j	ndmyolov8[j	PROPN
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fcis-28030	115	27	.	.	PUNCT
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fcis-28030	116	2	technology	technology	NOUN
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fcis-28030	116	14	-	-	PUNCT
fcis-28030	116	15	04	04	NUM
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fcis-28030	117	1	[	[	X
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fcis-28030	117	3	]	]	PUNCT
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fcis-28030	117	16	dc	dc	PROPN
fcis-28030	117	17	-	-	PUNCT
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fcis-28030	117	19	:	:	PUNCT
fcis-28030	117	20	small	small	ADJ
fcis-28030	117	21	-	-	PUNCT
fcis-28030	117	22	size	size	NOUN
fcis-28030	117	23	object	object	NOUN
fcis-28030	117	24	detection	detection	NOUN
fcis-28030	117	25	algorithm	algorithm	NOUN
fcis-28030	117	26	based	base	VERB
fcis-28030	117	27	on	on	ADP
fcis-28030	117	28	camera	camera	NOUN
fcis-28030	117	29	sensor[j	sensor[j	PROPN
fcis-28030	117	30	]	]	PUNCT
fcis-28030	117	31	.	.	PUNCT
fcis-28030	118	1	electronics	electronic	NOUN
fcis-28030	118	2	,	,	PUNCT
fcis-28030	118	3	2023	2023	NUM
fcis-28030	118	4	,	,	PUNCT
fcis-28030	118	5	12(10	12(10	NUM
fcis-28030	118	6	):	):	PUNCT
fcis-28030	118	7	2323	2323	NUM
fcis-28030	118	8	.	.	PUNCT
fcis-28030	119	1	[	[	X
fcis-28030	119	2	14	14	NUM
fcis-28030	119	3	]	]	X
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fcis-28030	119	7	cisse	cisse	PROPN
fcis-28030	119	8	m	m	PROPN
fcis-28030	119	9	,	,	PUNCT
fcis-28030	119	10	dauphin	dauphin	PROPN
fcis-28030	119	11	y	y	PROPN
fcis-28030	119	12	n	n	PROPN
fcis-28030	119	13	,	,	PUNCT
fcis-28030	119	14	et	et	PROPN
fcis-28030	119	15	al	al	PROPN
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fcis-28030	119	17	mixup	mixup	PROPN
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fcis-28030	119	21	risk	risk	NOUN
fcis-28030	119	22	minimization[j	minimization[j	PROPN
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fcis-28030	119	24	.	.	PUNCT
fcis-28030	120	1	arxiv	arxiv	PROPN
fcis-28030	120	2	preprint	preprint	VERB
fcis-28030	120	3	arxiv:1710	arxiv:1710	ADJ
fcis-28030	120	4	.	.	PUNCT
fcis-28030	121	1	09412	09412	NUM
fcis-28030	121	2	,	,	PUNCT
fcis-28030	121	3	2017	2017	NUM
fcis-28030	121	4	.	.	PUNCT
fcis-28030	122	1	[	[	X
fcis-28030	122	2	15	15	NUM
fcis-28030	122	3	]	]	X
fcis-28030	122	4	zhang	zhang	PROPN
fcis-28030	122	5	l	l	PROPN
fcis-28030	122	6	,	,	PUNCT
fcis-28030	122	7	zheng	zheng	PROPN
fcis-28030	122	8	j	j	PROPN
fcis-28030	122	9	,	,	PUNCT
fcis-28030	122	10	li	li	PROPN
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fcis-28030	122	13	et	et	PROPN
fcis-28030	122	14	al	al	PROPN
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fcis-28030	122	16	ccdn	ccdn	PROPN
fcis-28030	122	17	-	-	PUNCT
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fcis-28030	122	23	based	base	VERB
fcis-28030	122	24	on	on	ADP
fcis-28030	122	25	constrained	constrained	ADJ
fcis-28030	122	26	contrast	contrast	NOUN
fcis-28030	122	27	denoising	denoise	VERB
fcis-28030	122	28	for	for	ADP
fcis-28030	122	29	multiclass	multiclass	ADJ
fcis-28030	122	30	synthetic	synthetic	ADJ
fcis-28030	122	31	aperture	aperture	NOUN
fcis-28030	122	32	radar	radar	NOUN
fcis-28030	122	33	object	object	VERB
fcis-28030	122	34	detection[j	detection[j	PROPN
fcis-28030	122	35	]	]	PUNCT
fcis-28030	122	36	.	.	PUNCT
fcis-28030	123	1	sensors	sensor	NOUN
fcis-28030	123	2	,	,	PUNCT
fcis-28030	123	3	2024	2024	NUM
fcis-28030	123	4	,	,	PUNCT
fcis-28030	123	5	24(6	24(6	NUM
fcis-28030	123	6	):	):	PUNCT
fcis-28030	123	7	1793	1793	NUM
fcis-28030	123	8	.	.	PUNCT
fcis-28030	124	1	[	[	X
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fcis-28030	124	3	]	]	X
fcis-28030	124	4	zheng	zheng	PROPN
fcis-28030	124	5	z	z	PROPN
fcis-28030	124	6	,	,	PUNCT
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fcis-28030	124	9	,	,	PUNCT
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fcis-28030	124	11	w	w	PROPN
fcis-28030	124	12	,	,	PUNCT
fcis-28030	124	13	et	et	PROPN
fcis-28030	124	14	al	al	PROPN
fcis-28030	124	15	.	.	PROPN
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fcis-28030	124	17	-	-	PUNCT
fcis-28030	124	18	iou	iou	NOUN
fcis-28030	124	19	loss	loss	NOUN
fcis-28030	124	20	:	:	PUNCT
fcis-28030	124	21	faster	fast	ADJ
fcis-28030	124	22	and	and	CCONJ
fcis-28030	124	23	better	well	ADV
fcis-28030	124	24	learning	learn	VERB
fcis-28030	124	25	for	for	ADP
fcis-28030	124	26	bounding	bound	VERB
fcis-28030	124	27	box	box	PROPN
fcis-28030	124	28	regression[c]//proceedings	regression[c]//proceedings	PROPN
fcis-28030	124	29	of	of	ADP
fcis-28030	124	30	the	the	DET
fcis-28030	124	31	aaai	aaai	PROPN
fcis-28030	124	32	conference	conference	NOUN
fcis-28030	124	33	on	on	ADP
fcis-28030	124	34	artificial	artificial	ADJ
fcis-28030	124	35	intelligence	intelligence	NOUN
fcis-28030	124	36	.	.	PUNCT
fcis-28030	125	1	2020	2020	NUM
fcis-28030	125	2	,	,	PUNCT
fcis-28030	125	3	34(7	34(7	NUM
fcis-28030	125	4	):	):	PUNCT
fcis-28030	125	5	12993	12993	NUM
fcis-28030	125	6	-	-	SYM
fcis-28030	125	7	13000	13000	NUM
fcis-28030	125	8	.	.	PUNCT
fcis-28030	126	1	[	[	X
fcis-28030	126	2	17	17	NUM
fcis-28030	126	3	]	]	X
fcis-28030	126	4	tong	tong	PROPN
fcis-28030	126	5	z	z	PROPN
fcis-28030	126	6	,	,	PUNCT
fcis-28030	126	7	chen	chen	PROPN
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fcis-28030	126	9	,	,	PUNCT
fcis-28030	126	10	xu	xu	PROPN
fcis-28030	127	1	z	z	X
fcis-28030	127	2	,	,	PUNCT
fcis-28030	127	3	et	et	PROPN
fcis-28030	127	4	al	al	PROPN
fcis-28030	127	5	.	.	PUNCT
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fcis-28030	128	2	-	-	PUNCT
fcis-28030	128	3	iou	iou	NOUN
fcis-28030	128	4	:	:	PUNCT
fcis-28030	128	5	bounding	bound	VERB
fcis-28030	128	6	box	box	NOUN
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fcis-28030	128	8	loss	loss	NOUN
fcis-28030	128	9	with	with	ADP
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fcis-28030	128	11	focusing	focus	VERB
fcis-28030	128	12	mechanism[j	mechanism[j	PROPN
fcis-28030	128	13	]	]	PUNCT
fcis-28030	128	14	.	.	PUNCT
fcis-28030	129	1	arxiv	arxiv	PROPN
fcis-28030	129	2	preprint	preprint	PROPN
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fcis-28030	129	4	,	,	PUNCT
fcis-28030	129	5	2023	2023	NUM
fcis-28030	129	6	.	.	PUNCT
fcis-28030	130	1	[	[	X
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fcis-28030	130	3	]	]	PUNCT
fcis-28030	130	4	rezatofighi	rezatofighi	PROPN
fcis-28030	130	5	h	h	PROPN
fcis-28030	130	6	,	,	PUNCT
fcis-28030	130	7	tsoi	tsoi	PROPN
fcis-28030	130	8	n	n	CCONJ
fcis-28030	130	9	,	,	PUNCT
fcis-28030	130	10	gwak	gwak	PROPN
fcis-28030	130	11	j	j	PROPN
fcis-28030	130	12	y	y	PROPN
fcis-28030	130	13	,	,	PUNCT
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fcis-28030	130	15	al	al	PROPN
fcis-28030	130	16	.	.	PROPN
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fcis-28030	131	3	over	over	ADP
fcis-28030	131	4	union	union	NOUN
fcis-28030	131	5	:	:	PUNCT
fcis-28030	131	6	a	a	DET
fcis-28030	131	7	metric	metric	ADJ
fcis-28030	131	8	and	and	CCONJ
fcis-28030	131	9	a	a	DET
fcis-28030	131	10	loss	loss	NOUN
fcis-28030	131	11	for	for	ADP
fcis-28030	131	12	bounding	bound	VERB
fcis-28030	131	13	box	box	PROPN
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fcis-28030	131	18	/	/	SYM
fcis-28030	131	19	cvf	cvf	NOUN
fcis-28030	131	20	conference	conference	NOUN
fcis-28030	131	21	on	on	ADP
fcis-28030	131	22	computer	computer	NOUN
fcis-28030	131	23	vision	vision	NOUN
fcis-28030	131	24	and	and	CCONJ
fcis-28030	131	25	pattern	pattern	NOUN
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fcis-28030	131	27	,	,	PUNCT
fcis-28030	131	28	2019	2019	NUM
fcis-28030	131	29	:	:	PUNCT
fcis-28030	131	30	658	658	NUM
fcis-28030	131	31	-	-	SYM
fcis-28030	131	32	666	666	NUM
fcis-28030	131	33	.	.	PUNCT
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fcis-28030	132	2	19	19	NUM
fcis-28030	132	3	]	]	X
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fcis-28030	132	5	caixia	caixia	PROPN
fcis-28030	132	6	,	,	PUNCT
fcis-28030	132	7	wang	wang	PROPN
fcis-28030	132	8	zhaonan	zhaonan	PROPN
fcis-28030	132	9	,	,	PUNCT
fcis-28030	132	10	shi	shi	PROPN
fcis-28030	132	11	lei	lei	PROPN
fcis-28030	132	12	,	,	PUNCT
fcis-28030	132	13	et	et	PROPN
fcis-28030	132	14	al	al	PROPN
fcis-28030	132	15	.	.	PROPN
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fcis-28030	132	17	railroad	railroad	NOUN
fcis-28030	132	18	foreign	foreign	ADJ
fcis-28030	132	19	object	object	NOUN
fcis-28030	132	20	intrusion	intrusion	NOUN
fcis-28030	132	21	detection	detection	NOUN
fcis-28030	132	22	algorithm	algorithm	NOUN
fcis-28030	132	23	for	for	ADP
fcis-28030	132	24	yolov5s	yolov5s	PROPN
fcis-28030	133	1	[	[	X
fcis-28030	133	2	j	j	X
fcis-28030	133	3	]	]	X
fcis-28030	133	4	.	.	PUNCT
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fcis-28030	134	5	systems	system	NOUN
fcis-28030	134	6	,	,	PUNCT
fcis-28030	134	7	2024	2024	NUM
fcis-28030	134	8	,	,	PUNCT
fcis-28030	134	9	45(4):879	45(4):879	NUM
fcis-28030	134	10	-	-	PUNCT
fcis-28030	134	11	886	886	NUM
fcis-28030	134	12	,	,	PUNCT
fcis-28030	134	13	doi:10.20009	doi:10.20009	NOUN
fcis-28030	134	14	/	/	SYM
fcis-28030	134	15	j.cnki.21	j.cnki.21	PROPN
fcis-28030	134	16	-	-	PUNCT
fcis-28030	134	17	1106	1106	NUM
fcis-28030	134	18	/	/	SYM
fcis-28030	134	19	tp.2022	tp.2022	PROPN
fcis-28030	134	20	-	-	PUNCT
fcis-28030	134	21	0607	0607	NUM
fcis-28030	134	22	.	.	PUNCT
fcis-28030	135	1	[	[	X
fcis-28030	135	2	20	20	NUM
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fcis-28030	135	6	,	,	PUNCT
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fcis-28030	135	8	h	h	PROPN
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fcis-28030	136	2	,	,	PUNCT
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fcis-28030	136	5	y	y	PROPN
fcis-28030	136	6	,	,	PUNCT
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fcis-28030	136	8	al	al	PROPN
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fcis-28030	136	12	simul	simul	PROPN
fcis-28030	136	13	-	-	PUNCT
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fcis-28030	136	15	transfer	transfer	NOUN
fcis-28030	136	16	learing	learing	NOUN
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fcis-28030	136	21	uav	uav	PROPN
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fcis-28030	136	23	object	object	NOUN
fcis-28030	136	24	detection[j	detection[j	PROPN
fcis-28030	136	25	]	]	PUNCT
fcis-28030	136	26	.	.	PUNCT
fcis-28030	137	1	journal	journal	PROPN
fcis-28030	137	2	of	of	ADP
fcis-28030	137	3	chinese	chinese	ADJ
fcis-28030	137	4	computer	computer	NOUN
fcis-28030	137	5	systems	system	NOUN
fcis-28030	137	6	,	,	PUNCT
fcis-28030	137	7	2023,44(8):17431749	2023,44(8):17431749	NUM
fcis-28030	137	8	,	,	PUNCT
fcis-28030	137	9	doi:10.20009	doi:10.20009	NOUN
fcis-28030	137	10	/	/	SYM
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fcis-28030	137	12	-	-	PUNCT
fcis-28030	137	13	1106	1106	NUM
fcis-28030	137	14	/	/	SYM
fcis-28030	137	15	tp.20210905	tp.20210905	PROPN
fcis-28030	137	16	.	.	PUNCT