id	sid	tid	token	lemma	pos
fcis-20343	1	1	frontiers	frontier	NOUN
fcis-20343	1	2	in	in	ADP
fcis-20343	1	3	computing	computing	NOUN
fcis-20343	1	4	and	and	CCONJ
fcis-20343	1	5	intelligent	intelligent	ADJ
fcis-20343	1	6	systems	system	NOUN
fcis-20343	1	7	issn	issn	VERB
fcis-20343	1	8	:	:	PUNCT
fcis-20343	1	9	2832	2832	NUM
fcis-20343	1	10	-	-	SYM
fcis-20343	1	11	6024	6024	NUM
fcis-20343	1	12	|	|	NOUN
fcis-20343	1	13	vol	vol	NOUN
fcis-20343	1	14	.	.	PROPN
fcis-20343	2	1	8	8	NUM
fcis-20343	2	2	,	,	PUNCT
fcis-20343	2	3	no	no	INTJ
fcis-20343	2	4	.	.	NOUN
fcis-20343	2	5	1	1	NUM
fcis-20343	2	6	,	,	PUNCT
fcis-20343	2	7	2024	2024	NUM
fcis-20343	2	8	35	35	NUM
fcis-20343	2	9	a	a	DET
fcis-20343	2	10	lightweight	lightweight	ADJ
fcis-20343	2	11	object	object	NOUN
fcis-20343	2	12	detection	detection	NOUN
fcis-20343	2	13	network	network	NOUN
fcis-20343	2	14	for	for	ADP
fcis-20343	2	15	uav	uav	PROPN
fcis-20343	2	16	aerial	aerial	ADJ
fcis-20343	2	17	images	image	NOUN
fcis-20343	2	18	lin	lin	PROPN
fcis-20343	2	19	tang	tang	PROPN
fcis-20343	2	20	1	1	NUM
fcis-20343	2	21	,	,	PUNCT
fcis-20343	2	22	2	2	NUM
fcis-20343	2	23	,	,	PUNCT
fcis-20343	2	24	*	*	ADJ
fcis-20343	2	25	,	,	PUNCT
fcis-20343	2	26	shunyong	shunyong	ADJ
fcis-20343	2	27	zhou	zhou	PROPN
fcis-20343	2	28	1	1	NUM
fcis-20343	2	29	,	,	PUNCT
fcis-20343	2	30	2	2	NUM
fcis-20343	2	31	,	,	PUNCT
fcis-20343	2	32	xinjie	xinjie	PROPN
fcis-20343	2	33	wang	wang	PROPN
fcis-20343	2	34	1	1	NUM
fcis-20343	2	35	,	,	PUNCT
fcis-20343	2	36	2	2	NUM
fcis-20343	2	37	1	1	NUM
fcis-20343	2	38	school	school	NOUN
fcis-20343	2	39	of	of	ADP
fcis-20343	2	40	automation	automation	NOUN
fcis-20343	2	41	and	and	CCONJ
fcis-20343	2	42	information	information	NOUN
fcis-20343	2	43	engineering	engineering	NOUN
fcis-20343	2	44	,	,	PUNCT
fcis-20343	2	45	sichuan	sichuan	PROPN
fcis-20343	2	46	university	university	PROPN
fcis-20343	2	47	of	of	ADP
fcis-20343	2	48	science	science	NOUN
fcis-20343	2	49	and	and	CCONJ
fcis-20343	2	50	engineering	engineering	NOUN
fcis-20343	2	51	,	,	PUNCT
fcis-20343	2	52	yibin	yibin	PROPN
fcis-20343	2	53	sichuan	sichuan	PROPN
fcis-20343	2	54	,	,	PUNCT
fcis-20343	2	55	644000	644000	NUM
fcis-20343	2	56	,	,	PUNCT
fcis-20343	2	57	china	china	PROPN
fcis-20343	2	58	2	2	NUM
fcis-20343	2	59	artificial	artificial	ADJ
fcis-20343	2	60	intelligence	intelligence	NOUN
fcis-20343	2	61	key	key	NOUN
fcis-20343	2	62	laboratory	laboratory	NOUN
fcis-20343	2	63	of	of	ADP
fcis-20343	2	64	sichuan	sichuan	PROPN
fcis-20343	2	65	province	province	PROPN
fcis-20343	2	66	,	,	PUNCT
fcis-20343	2	67	sichuan	sichuan	PROPN
fcis-20343	2	68	university	university	PROPN
fcis-20343	2	69	of	of	ADP
fcis-20343	2	70	science	science	NOUN
fcis-20343	2	71	and	and	CCONJ
fcis-20343	2	72	engineering	engineering	NOUN
fcis-20343	2	73	,	,	PUNCT
fcis-20343	2	74	yibin	yibin	PROPN
fcis-20343	2	75	sichuan	sichuan	PROPN
fcis-20343	2	76	,	,	PUNCT
fcis-20343	2	77	644000	644000	NUM
fcis-20343	2	78	,	,	PUNCT
fcis-20343	2	79	china	china	PROPN
fcis-20343	2	80	*	*	PUNCT
fcis-20343	2	81	corresponding	correspond	VERB
fcis-20343	2	82	author	author	NOUN
fcis-20343	2	83	:	:	PUNCT
fcis-20343	2	84	lin	lin	PROPN
fcis-20343	2	85	tang	tang	PROPN
fcis-20343	2	86	(	(	PUNCT
fcis-20343	2	87	email	email	NOUN
fcis-20343	2	88	:	:	PUNCT
fcis-20343	2	89	690398280@qq.com	690398280@qq.com	NUM
fcis-20343	2	90	)	)	PUNCT
fcis-20343	2	91	abstract	abstract	NOUN
fcis-20343	2	92	:	:	PUNCT
fcis-20343	2	93	in	in	ADP
fcis-20343	2	94	order	order	NOUN
fcis-20343	2	95	to	to	PART
fcis-20343	2	96	solve	solve	VERB
fcis-20343	2	97	the	the	DET
fcis-20343	2	98	problems	problem	NOUN
fcis-20343	2	99	of	of	ADP
fcis-20343	2	100	poor	poor	ADJ
fcis-20343	2	101	detection	detection	NOUN
fcis-20343	2	102	algorithms	algorithm	NOUN
fcis-20343	2	103	,	,	PUNCT
fcis-20343	2	104	high	high	ADJ
fcis-20343	2	105	network	network	NOUN
fcis-20343	2	106	model	model	NOUN
fcis-20343	2	107	complexity	complexity	NOUN
fcis-20343	2	108	,	,	PUNCT
fcis-20343	2	109	and	and	CCONJ
fcis-20343	2	110	difficult	difficult	ADJ
fcis-20343	2	111	deployment	deployment	NOUN
fcis-20343	2	112	of	of	ADP
fcis-20343	2	113	algorithms	algorithm	NOUN
fcis-20343	2	114	in	in	ADP
fcis-20343	2	115	the	the	DET
fcis-20343	2	116	field	field	NOUN
fcis-20343	2	117	of	of	ADP
fcis-20343	2	118	aerial	aerial	ADJ
fcis-20343	2	119	image	image	NOUN
fcis-20343	2	120	target	target	NOUN
fcis-20343	2	121	detection	detection	NOUN
fcis-20343	2	122	.	.	PUNCT
fcis-20343	3	1	in	in	ADP
fcis-20343	3	2	this	this	DET
fcis-20343	3	3	paper	paper	NOUN
fcis-20343	3	4	,	,	PUNCT
fcis-20343	3	5	based	base	VERB
fcis-20343	3	6	on	on	ADP
fcis-20343	3	7	yolov7	yolov7	ADJ
fcis-20343	3	8	-	-	PUNCT
fcis-20343	3	9	tiny	tiny	ADJ
fcis-20343	3	10	algorithm	algorithm	NOUN
fcis-20343	3	11	,	,	PUNCT
fcis-20343	3	12	a	a	DET
fcis-20343	3	13	lightweight	lightweight	ADJ
fcis-20343	3	14	target	target	NOUN
fcis-20343	3	15	detection	detection	NOUN
fcis-20343	3	16	network	network	NOUN
fcis-20343	3	17	for	for	ADP
fcis-20343	3	18	uav	uav	PROPN
fcis-20343	3	19	aerial	aerial	ADJ
fcis-20343	3	20	images	image	NOUN
fcis-20343	3	21	is	be	AUX
fcis-20343	3	22	designed	design	VERB
fcis-20343	3	23	.	.	PUNCT
fcis-20343	4	1	partial	partial	ADJ
fcis-20343	4	2	convolutional	convolutional	ADJ
fcis-20343	4	3	pconv	pconv	NOUN
fcis-20343	4	4	is	be	AUX
fcis-20343	4	5	introduced	introduce	VERB
fcis-20343	4	6	into	into	ADP
fcis-20343	4	7	the	the	DET
fcis-20343	4	8	network	network	NOUN
fcis-20343	4	9	,	,	PUNCT
fcis-20343	4	10	and	and	CCONJ
fcis-20343	4	11	the	the	DET
fcis-20343	4	12	feature	feature	NOUN
fcis-20343	4	13	extraction	extraction	NOUN
fcis-20343	4	14	block	block	NOUN
fcis-20343	4	15	elan	elan	PROPN
fcis-20343	4	16	is	be	AUX
fcis-20343	4	17	improved	improve	VERB
fcis-20343	4	18	,	,	PUNCT
fcis-20343	4	19	which	which	PRON
fcis-20343	4	20	reduces	reduce	VERB
fcis-20343	4	21	the	the	DET
fcis-20343	4	22	computational	computational	ADJ
fcis-20343	4	23	volume	volume	NOUN
fcis-20343	4	24	of	of	ADP
fcis-20343	4	25	convolution	convolution	NOUN
fcis-20343	4	26	and	and	CCONJ
fcis-20343	4	27	the	the	DET
fcis-20343	4	28	number	number	NOUN
fcis-20343	4	29	of	of	ADP
fcis-20343	4	30	model	model	NOUN
fcis-20343	4	31	parameters	parameter	NOUN
fcis-20343	4	32	in	in	ADP
fcis-20343	4	33	the	the	DET
fcis-20343	4	34	feature	feature	NOUN
fcis-20343	4	35	extraction	extraction	NOUN
fcis-20343	4	36	process	process	NOUN
fcis-20343	4	37	,	,	PUNCT
fcis-20343	4	38	thus	thus	ADV
fcis-20343	4	39	solving	solve	VERB
fcis-20343	4	40	the	the	DET
fcis-20343	4	41	problem	problem	NOUN
fcis-20343	4	42	of	of	ADP
fcis-20343	4	43	model	model	NOUN
fcis-20343	4	44	lightweight	lightweight	NOUN
fcis-20343	4	45	.	.	PUNCT
fcis-20343	5	1	the	the	DET
fcis-20343	5	2	feature	feature	NOUN
fcis-20343	5	3	fusion	fusion	NOUN
fcis-20343	5	4	part	part	NOUN
fcis-20343	5	5	of	of	ADP
fcis-20343	5	6	the	the	DET
fcis-20343	5	7	network	network	NOUN
fcis-20343	5	8	is	be	AUX
fcis-20343	5	9	optimal	optimal	ADJ
fcis-20343	5	10	to	to	PART
fcis-20343	5	11	improve	improve	VERB
fcis-20343	5	12	the	the	DET
fcis-20343	5	13	feature	feature	NOUN
fcis-20343	5	14	extraction	extraction	NOUN
fcis-20343	5	15	ability	ability	NOUN
fcis-20343	5	16	of	of	ADP
fcis-20343	5	17	the	the	DET
fcis-20343	5	18	network	network	NOUN
fcis-20343	5	19	for	for	ADP
fcis-20343	5	20	small	small	ADJ
fcis-20343	5	21	targets	target	NOUN
fcis-20343	5	22	.	.	PUNCT
fcis-20343	6	1	at	at	ADP
fcis-20343	6	2	the	the	DET
fcis-20343	6	3	same	same	ADJ
fcis-20343	6	4	time	time	NOUN
fcis-20343	6	5	,	,	PUNCT
fcis-20343	6	6	the	the	DET
fcis-20343	6	7	large	large	ADJ
fcis-20343	6	8	target	target	NOUN
fcis-20343	6	9	detection	detection	NOUN
fcis-20343	6	10	layer	layer	NOUN
fcis-20343	6	11	in	in	ADP
fcis-20343	6	12	the	the	DET
fcis-20343	6	13	original	original	ADJ
fcis-20343	6	14	network	network	NOUN
fcis-20343	6	15	is	be	AUX
fcis-20343	6	16	replaced	replace	VERB
fcis-20343	6	17	with	with	ADP
fcis-20343	6	18	the	the	DET
fcis-20343	6	19	small	small	ADJ
fcis-20343	6	20	target	target	NOUN
fcis-20343	6	21	detection	detection	NOUN
fcis-20343	6	22	layer	layer	NOUN
fcis-20343	6	23	in	in	ADP
fcis-20343	6	24	the	the	DET
fcis-20343	6	25	aerial	aerial	ADJ
fcis-20343	6	26	images	image	NOUN
fcis-20343	6	27	,	,	PUNCT
fcis-20343	6	28	and	and	CCONJ
fcis-20343	6	29	the	the	DET
fcis-20343	6	30	attention	attention	NOUN
fcis-20343	6	31	mechanism	mechanism	NOUN
fcis-20343	6	32	is	be	AUX
fcis-20343	6	33	embedded	embed	VERB
fcis-20343	6	34	in	in	ADP
fcis-20343	6	35	the	the	DET
fcis-20343	6	36	backbone	backbone	NOUN
fcis-20343	6	37	network	network	NOUN
fcis-20343	6	38	,	,	PUNCT
fcis-20343	6	39	which	which	PRON
fcis-20343	6	40	solves	solve	VERB
fcis-20343	6	41	the	the	DET
fcis-20343	6	42	problem	problem	NOUN
fcis-20343	6	43	of	of	ADP
fcis-20343	6	44	imperfect	imperfect	ADJ
fcis-20343	6	45	detection	detection	NOUN
fcis-20343	6	46	algorithms	algorithm	NOUN
fcis-20343	6	47	in	in	ADP
fcis-20343	6	48	aerial	aerial	ADJ
fcis-20343	6	49	images	image	NOUN
fcis-20343	6	50	.	.	PUNCT
fcis-20343	7	1	the	the	DET
fcis-20343	7	2	loss	loss	NOUN
fcis-20343	7	3	function	function	NOUN
fcis-20343	7	4	of	of	ADP
fcis-20343	7	5	the	the	DET
fcis-20343	7	6	network	network	NOUN
fcis-20343	7	7	is	be	AUX
fcis-20343	7	8	improved	improve	VERB
fcis-20343	7	9	so	so	SCONJ
fcis-20343	7	10	that	that	SCONJ
fcis-20343	7	11	the	the	DET
fcis-20343	7	12	prediction	prediction	NOUN
fcis-20343	7	13	frames	frame	NOUN
fcis-20343	7	14	generated	generate	VERB
fcis-20343	7	15	by	by	ADP
fcis-20343	7	16	the	the	DET
fcis-20343	7	17	detection	detection	NOUN
fcis-20343	7	18	network	network	NOUN
fcis-20343	7	19	and	and	CCONJ
fcis-20343	7	20	the	the	DET
fcis-20343	7	21	truth	truth	NOUN
fcis-20343	7	22	frames	frame	NOUN
fcis-20343	7	23	match	match	VERB
fcis-20343	7	24	each	each	DET
fcis-20343	7	25	other	other	ADJ
fcis-20343	7	26	in	in	ADP
fcis-20343	7	27	the	the	DET
fcis-20343	7	28	regression	regression	NOUN
fcis-20343	7	29	process	process	NOUN
fcis-20343	7	30	,	,	PUNCT
fcis-20343	7	31	thus	thus	ADV
fcis-20343	7	32	improving	improve	VERB
fcis-20343	7	33	the	the	DET
fcis-20343	7	34	training	training	NOUN
fcis-20343	7	35	process	process	NOUN
fcis-20343	7	36	of	of	ADP
fcis-20343	7	37	the	the	DET
fcis-20343	7	38	network	network	NOUN
fcis-20343	7	39	.	.	PUNCT
fcis-20343	8	1	the	the	DET
fcis-20343	8	2	experimental	experimental	ADJ
fcis-20343	8	3	results	result	NOUN
fcis-20343	8	4	on	on	ADP
fcis-20343	8	5	the	the	DET
fcis-20343	8	6	publicly	publicly	ADV
fcis-20343	8	7	available	available	ADJ
fcis-20343	8	8	dataset	dataset	NOUN
fcis-20343	8	9	visdrone2019	visdrone2019	PROPN
fcis-20343	8	10	dataset	dataset	NOUN
fcis-20343	8	11	show	show	NOUN
fcis-20343	8	12	that	that	SCONJ
fcis-20343	8	13	compared	compare	VERB
fcis-20343	8	14	with	with	ADP
fcis-20343	8	15	the	the	DET
fcis-20343	8	16	yolov7	yolov7	ADV
fcis-20343	8	17	-	-	PUNCT
fcis-20343	8	18	tiny	tiny	ADJ
fcis-20343	8	19	algorithm	algorithm	NOUN
fcis-20343	8	20	,	,	PUNCT
fcis-20343	8	21	the	the	DET
fcis-20343	8	22	detection	detection	NOUN
fcis-20343	8	23	accuracy	accuracy	NOUN
fcis-20343	8	24	of	of	ADP
fcis-20343	8	25	the	the	DET
fcis-20343	8	26	proposed	propose	VERB
fcis-20343	8	27	model	model	NOUN
fcis-20343	8	28	is	be	AUX
fcis-20343	8	29	improved	improve	VERB
fcis-20343	8	30	by	by	ADP
fcis-20343	8	31	0.7	0.7	NUM
fcis-20343	8	32	%	%	NOUN
fcis-20343	8	33	,	,	PUNCT
fcis-20343	8	34	the	the	DET
fcis-20343	8	35	recall	recall	NOUN
fcis-20343	8	36	r	r	NOUN
fcis-20343	8	37	is	be	AUX
fcis-20343	8	38	improved	improve	VERB
fcis-20343	8	39	by	by	ADP
fcis-20343	8	40	2.2	2.2	NUM
fcis-20343	8	41	%	%	NOUN
fcis-20343	8	42	,	,	PUNCT
fcis-20343	8	43	the	the	DET
fcis-20343	8	44	f1	f1	NOUN
fcis-20343	8	45	value	value	NOUN
fcis-20343	8	46	is	be	AUX
fcis-20343	8	47	improved	improve	VERB
fcis-20343	8	48	by	by	ADP
fcis-20343	8	49	1.6	1.6	NUM
fcis-20343	8	50	%	%	NOUN
fcis-20343	8	51	,	,	PUNCT
fcis-20343	8	52	the	the	DET
fcis-20343	8	53	average	average	ADJ
fcis-20343	8	54	detection	detection	NOUN
fcis-20343	8	55	accuracy	accuracy	NOUN
fcis-20343	8	56	mean	mean	NOUN
fcis-20343	8	57	is	be	AUX
fcis-20343	8	58	improved	improve	VERB
fcis-20343	8	59	by	by	ADP
fcis-20343	8	60	2.3	2.3	NUM
fcis-20343	8	61	%	%	NOUN
fcis-20343	8	62	,	,	PUNCT
fcis-20343	8	63	and	and	CCONJ
fcis-20343	8	64	the	the	DET
fcis-20343	8	65	number	number	NOUN
fcis-20343	8	66	of	of	ADP
fcis-20343	8	67	parameters	parameter	NOUN
fcis-20343	8	68	is	be	AUX
fcis-20343	8	69	reduced	reduce	VERB
fcis-20343	8	70	by	by	ADP
fcis-20343	8	71	52.1	52.1	NUM
fcis-20343	8	72	%	%	NOUN
fcis-20343	8	73	.	.	PUNCT
fcis-20343	9	1	moreover	moreover	ADV
fcis-20343	9	2	,	,	PUNCT
fcis-20343	9	3	the	the	DET
fcis-20343	9	4	image	image	NOUN
fcis-20343	9	5	detection	detection	NOUN
fcis-20343	9	6	speed	speed	NOUN
fcis-20343	9	7	fps	fps	NOUN
fcis-20343	9	8	reaches	reach	VERB
fcis-20343	9	9	66	66	NUM
fcis-20343	9	10	/	/	SYM
fcis-20343	9	11	f.s-1	f.s-1	PROPN
fcis-20343	9	12	,	,	PUNCT
fcis-20343	9	13	which	which	PRON
fcis-20343	9	14	meets	meet	VERB
fcis-20343	9	15	the	the	DET
fcis-20343	9	16	real	real	ADJ
fcis-20343	9	17	-	-	PUNCT
fcis-20343	9	18	time	time	NOUN
fcis-20343	9	19	requirements	requirement	NOUN
fcis-20343	9	20	of	of	ADP
fcis-20343	9	21	the	the	DET
fcis-20343	9	22	aerial	aerial	ADJ
fcis-20343	9	23	image	image	NOUN
fcis-20343	9	24	detection	detection	NOUN
fcis-20343	9	25	model	model	NOUN
fcis-20343	9	26	detection	detection	NOUN
fcis-20343	9	27	,	,	PUNCT
fcis-20343	9	28	and	and	CCONJ
fcis-20343	9	29	provides	provide	VERB
fcis-20343	9	30	a	a	DET
fcis-20343	9	31	research	research	NOUN
fcis-20343	9	32	idea	idea	NOUN
fcis-20343	9	33	for	for	ADP
fcis-20343	9	34	the	the	DET
fcis-20343	9	35	field	field	NOUN
fcis-20343	9	36	of	of	ADP
fcis-20343	9	37	uav	uav	PROPN
fcis-20343	9	38	aerial	aerial	ADJ
fcis-20343	9	39	image	image	NOUN
fcis-20343	9	40	detection	detection	NOUN
fcis-20343	9	41	.	.	PUNCT
fcis-20343	10	1	keywords	keyword	NOUN
fcis-20343	10	2	:	:	PUNCT
fcis-20343	10	3	uav	uav	PROPN
fcis-20343	10	4	;	;	PUNCT
fcis-20343	10	5	yolov7	yolov7	NOUN
fcis-20343	10	6	-	-	PUNCT
fcis-20343	10	7	tiny	tiny	ADJ
fcis-20343	10	8	;	;	PUNCT
fcis-20343	10	9	loss	loss	NOUN
fcis-20343	10	10	function	function	NOUN
fcis-20343	10	11	;	;	PUNCT
fcis-20343	10	12	lightweight	lightweight	ADJ
fcis-20343	10	13	model	model	NOUN
fcis-20343	10	14	.	.	PUNCT
fcis-20343	11	1	1	1	X
fcis-20343	11	2	.	.	X
fcis-20343	11	3	introduction	introduction	NOUN
fcis-20343	11	4	in	in	ADP
fcis-20343	11	5	recent	recent	ADJ
fcis-20343	11	6	years	year	NOUN
fcis-20343	11	7	,	,	PUNCT
fcis-20343	11	8	with	with	ADP
fcis-20343	11	9	the	the	DET
fcis-20343	11	10	development	development	NOUN
fcis-20343	11	11	of	of	ADP
fcis-20343	11	12	uav	uav	PROPN
fcis-20343	11	13	technology	technology	PROPN
fcis-20343	11	14	becoming	become	VERB
fcis-20343	11	15	more	more	ADV
fcis-20343	11	16	and	and	CCONJ
fcis-20343	11	17	more	more	ADV
fcis-20343	11	18	mature	mature	ADJ
fcis-20343	11	19	,	,	PUNCT
fcis-20343	11	20	the	the	DET
fcis-20343	11	21	aerial	aerial	ADJ
fcis-20343	11	22	photography	photography	NOUN
fcis-20343	11	23	system	system	NOUN
fcis-20343	11	24	composed	compose	VERB
fcis-20343	11	25	of	of	ADP
fcis-20343	11	26	uav	uav	PROPN
fcis-20343	11	27	equipped	equip	VERB
fcis-20343	11	28	with	with	ADP
fcis-20343	11	29	camera	camera	NOUN
fcis-20343	11	30	has	have	AUX
fcis-20343	11	31	been	be	AUX
fcis-20343	11	32	widely	widely	ADV
fcis-20343	11	33	used	use	VERB
fcis-20343	11	34	in	in	ADP
fcis-20343	11	35	both	both	CCONJ
fcis-20343	11	36	military	military	ADJ
fcis-20343	11	37	and	and	CCONJ
fcis-20343	11	38	civil	civil	ADJ
fcis-20343	11	39	fields	field	NOUN
fcis-20343	11	40	because	because	SCONJ
fcis-20343	11	41	of	of	ADP
fcis-20343	11	42	its	its	PRON
fcis-20343	11	43	advantages	advantage	NOUN
fcis-20343	11	44	of	of	ADP
fcis-20343	11	45	small	small	ADJ
fcis-20343	11	46	size	size	NOUN
fcis-20343	11	47	,	,	PUNCT
fcis-20343	11	48	convenient	convenient	ADJ
fcis-20343	11	49	carrying	carrying	NOUN
fcis-20343	11	50	and	and	CCONJ
fcis-20343	11	51	simple	simple	ADJ
fcis-20343	11	52	operation	operation	NOUN
fcis-20343	11	53	,	,	PUNCT
fcis-20343	11	54	and	and	CCONJ
fcis-20343	11	55	also	also	ADV
fcis-20343	11	56	plays	play	VERB
fcis-20343	11	57	a	a	DET
fcis-20343	11	58	very	very	ADV
fcis-20343	11	59	important	important	ADJ
fcis-20343	11	60	role	role	NOUN
fcis-20343	11	61	.	.	PUNCT
fcis-20343	12	1	in	in	ADP
fcis-20343	12	2	the	the	DET
fcis-20343	12	3	military	military	ADJ
fcis-20343	12	4	field	field	NOUN
fcis-20343	12	5	,	,	PUNCT
fcis-20343	12	6	uav	uav	PROPN
fcis-20343	12	7	is	be	AUX
fcis-20343	12	8	often	often	ADV
fcis-20343	12	9	used	use	VERB
fcis-20343	12	10	as	as	ADP
fcis-20343	12	11	a	a	DET
fcis-20343	12	12	reconnaissance	reconnaissance	NOUN
fcis-20343	12	13	tool	tool	NOUN
fcis-20343	12	14	.	.	PUNCT
fcis-20343	13	1	by	by	ADP
fcis-20343	13	2	acquiring	acquire	VERB
fcis-20343	13	3	aerial	aerial	ADJ
fcis-20343	13	4	images	image	NOUN
fcis-20343	13	5	over	over	ADP
fcis-20343	13	6	the	the	DET
fcis-20343	13	7	target	target	NOUN
fcis-20343	13	8	area	area	NOUN
fcis-20343	13	9	,	,	PUNCT
fcis-20343	13	10	the	the	DET
fcis-20343	13	11	relevant	relevant	ADJ
fcis-20343	13	12	target	target	NOUN
fcis-20343	13	13	information	information	NOUN
fcis-20343	13	14	of	of	ADP
fcis-20343	13	15	a	a	DET
fcis-20343	13	16	specific	specific	ADJ
fcis-20343	13	17	area	area	NOUN
fcis-20343	13	18	can	can	AUX
fcis-20343	13	19	be	be	AUX
fcis-20343	13	20	obtained	obtain	VERB
fcis-20343	13	21	.	.	PUNCT
fcis-20343	14	1	in	in	ADP
fcis-20343	14	2	the	the	DET
fcis-20343	14	3	civil	civil	ADJ
fcis-20343	14	4	field	field	NOUN
fcis-20343	14	5	,	,	PUNCT
fcis-20343	14	6	uav	uav	PROPN
fcis-20343	14	7	is	be	AUX
fcis-20343	14	8	often	often	ADV
fcis-20343	14	9	used	use	VERB
fcis-20343	14	10	as	as	ADP
fcis-20343	14	11	an	an	DET
fcis-20343	14	12	efficient	efficient	ADJ
fcis-20343	14	13	image	image	NOUN
fcis-20343	14	14	acquisition	acquisition	NOUN
fcis-20343	14	15	system	system	NOUN
fcis-20343	14	16	,	,	PUNCT
fcis-20343	14	17	which	which	PRON
fcis-20343	14	18	is	be	AUX
fcis-20343	14	19	applied	apply	VERB
fcis-20343	14	20	to	to	ADP
fcis-20343	14	21	large	large	ADJ
fcis-20343	14	22	area	area	NOUN
fcis-20343	14	23	and	and	CCONJ
fcis-20343	14	24	long	long	ADJ
fcis-20343	14	25	distance	distance	NOUN
fcis-20343	14	26	inspection	inspection	NOUN
fcis-20343	14	27	and	and	CCONJ
fcis-20343	14	28	search	search	NOUN
fcis-20343	14	29	and	and	CCONJ
fcis-20343	14	30	rescue	rescue	NOUN
fcis-20343	14	31	[	[	X
fcis-20343	14	32	1	1	NUM
fcis-20343	14	33	]	]	PUNCT
fcis-20343	14	34	,	,	PUNCT
fcis-20343	14	35	smart	smart	ADJ
fcis-20343	14	36	city	city	NOUN
fcis-20343	14	37	traffic	traffic	NOUN
fcis-20343	14	38	inspection	inspection	NOUN
fcis-20343	15	1	[	[	X
fcis-20343	15	2	2	2	NUM
fcis-20343	15	3	]	]	PUNCT
fcis-20343	15	4	,	,	PUNCT
fcis-20343	15	5	agricultural	agricultural	ADJ
fcis-20343	15	6	planting	planting	NOUN
fcis-20343	15	7	and	and	CCONJ
fcis-20343	15	8	other	other	ADJ
fcis-20343	15	9	fields	field	NOUN
fcis-20343	15	10	[	[	X
fcis-20343	15	11	3	3	NUM
fcis-20343	15	12	-	-	SYM
fcis-20343	15	13	5	5	NUM
fcis-20343	15	14	]	]	PUNCT
fcis-20343	15	15	.	.	PUNCT
fcis-20343	16	1	with	with	ADP
fcis-20343	16	2	the	the	DET
fcis-20343	16	3	rich	rich	ADJ
fcis-20343	16	4	application	application	NOUN
fcis-20343	16	5	scenarios	scenario	NOUN
fcis-20343	16	6	of	of	ADP
fcis-20343	16	7	uav	uav	PROPN
fcis-20343	16	8	,	,	PUNCT
fcis-20343	16	9	the	the	DET
fcis-20343	16	10	target	target	NOUN
fcis-20343	16	11	detection	detection	NOUN
fcis-20343	16	12	field	field	NOUN
fcis-20343	16	13	of	of	ADP
fcis-20343	16	14	uav	uav	PROPN
fcis-20343	16	15	aerial	aerial	ADJ
fcis-20343	16	16	images	image	NOUN
fcis-20343	16	17	has	have	AUX
fcis-20343	16	18	attracted	attract	VERB
fcis-20343	16	19	many	many	ADJ
fcis-20343	16	20	researchers	researcher	NOUN
fcis-20343	16	21	to	to	PART
fcis-20343	16	22	study	study	VERB
fcis-20343	16	23	the	the	DET
fcis-20343	16	24	target	target	NOUN
fcis-20343	16	25	detection	detection	NOUN
fcis-20343	16	26	in	in	ADP
fcis-20343	16	27	uav	uav	PROPN
fcis-20343	16	28	aerial	aerial	ADJ
fcis-20343	16	29	images	image	NOUN
fcis-20343	16	30	.	.	PUNCT
fcis-20343	17	1	and	and	CCONJ
fcis-20343	17	2	with	with	ADP
fcis-20343	17	3	the	the	DET
fcis-20343	17	4	rapid	rapid	ADJ
fcis-20343	17	5	development	development	NOUN
fcis-20343	17	6	of	of	ADP
fcis-20343	17	7	computer	computer	NOUN
fcis-20343	17	8	vision	vision	NOUN
fcis-20343	17	9	technology	technology	NOUN
fcis-20343	17	10	and	and	CCONJ
fcis-20343	17	11	deep	deep	ADJ
fcis-20343	17	12	learning	learning	NOUN
fcis-20343	17	13	,	,	PUNCT
fcis-20343	17	14	the	the	DET
fcis-20343	17	15	target	target	NOUN
fcis-20343	17	16	detection	detection	NOUN
fcis-20343	17	17	algorithm	algorithm	NOUN
fcis-20343	17	18	based	base	VERB
fcis-20343	17	19	on	on	ADP
fcis-20343	17	20	deep	deep	ADJ
fcis-20343	17	21	learning	learning	NOUN
fcis-20343	17	22	has	have	AUX
fcis-20343	17	23	defeated	defeat	VERB
fcis-20343	17	24	the	the	DET
fcis-20343	17	25	traditional	traditional	ADJ
fcis-20343	17	26	target	target	NOUN
fcis-20343	17	27	detection	detection	NOUN
fcis-20343	17	28	algorithm	algorithm	NOUN
fcis-20343	17	29	in	in	ADP
fcis-20343	17	30	many	many	ADJ
fcis-20343	17	31	target	target	NOUN
fcis-20343	17	32	detection	detection	NOUN
fcis-20343	17	33	fields	field	NOUN
fcis-20343	17	34	by	by	ADP
fcis-20343	17	35	virtue	virtue	NOUN
fcis-20343	17	36	of	of	ADP
fcis-20343	17	37	its	its	PRON
fcis-20343	17	38	excellent	excellent	ADJ
fcis-20343	17	39	target	target	NOUN
fcis-20343	17	40	detection	detection	NOUN
fcis-20343	17	41	performance	performance	NOUN
fcis-20343	17	42	,	,	PUNCT
fcis-20343	17	43	and	and	CCONJ
fcis-20343	17	44	become	become	VERB
fcis-20343	17	45	the	the	DET
fcis-20343	17	46	mainstream	mainstream	NOUN
fcis-20343	17	47	target	target	NOUN
fcis-20343	17	48	detection	detection	NOUN
fcis-20343	17	49	technology	technology	NOUN
fcis-20343	17	50	at	at	ADP
fcis-20343	17	51	present	present	ADJ
fcis-20343	17	52	.	.	PUNCT
fcis-20343	18	1	however	however	ADV
fcis-20343	18	2	,	,	PUNCT
fcis-20343	18	3	in	in	ADP
fcis-20343	18	4	the	the	DET
fcis-20343	18	5	actual	actual	ADJ
fcis-20343	18	6	use	use	NOUN
fcis-20343	18	7	of	of	ADP
fcis-20343	18	8	uav	uav	PROPN
fcis-20343	18	9	aerial	aerial	ADJ
fcis-20343	18	10	photography	photography	NOUN
fcis-20343	18	11	,	,	PUNCT
fcis-20343	18	12	due	due	ADP
fcis-20343	18	13	to	to	ADP
fcis-20343	18	14	the	the	DET
fcis-20343	18	15	impact	impact	NOUN
fcis-20343	18	16	of	of	ADP
fcis-20343	18	17	uav	uav	PROPN
fcis-20343	18	18	flying	fly	VERB
fcis-20343	18	19	attitude	attitude	NOUN
fcis-20343	18	20	,	,	PUNCT
fcis-20343	18	21	flight	flight	NOUN
fcis-20343	18	22	height	height	NOUN
fcis-20343	18	23	,	,	PUNCT
fcis-20343	18	24	shooting	shoot	VERB
fcis-20343	18	25	angle	angle	NOUN
fcis-20343	18	26	and	and	CCONJ
fcis-20343	18	27	other	other	ADJ
fcis-20343	18	28	factors	factor	NOUN
fcis-20343	18	29	,	,	PUNCT
fcis-20343	18	30	the	the	DET
fcis-20343	18	31	target	target	NOUN
fcis-20343	18	32	size	size	NOUN
fcis-20343	18	33	in	in	ADP
fcis-20343	18	34	the	the	DET
fcis-20343	18	35	images	image	NOUN
fcis-20343	18	36	obtained	obtain	VERB
fcis-20343	18	37	by	by	ADP
fcis-20343	18	38	uav	uav	PROPN
fcis-20343	18	39	aerial	aerial	ADJ
fcis-20343	18	40	photography	photography	NOUN
fcis-20343	18	41	is	be	AUX
fcis-20343	18	42	small	small	ADJ
fcis-20343	18	43	,	,	PUNCT
fcis-20343	18	44	the	the	DET
fcis-20343	18	45	target	target	NOUN
fcis-20343	18	46	distribution	distribution	NOUN
fcis-20343	18	47	is	be	AUX
fcis-20343	18	48	relatively	relatively	ADV
fcis-20343	18	49	dense	dense	ADJ
fcis-20343	18	50	,	,	PUNCT
fcis-20343	18	51	and	and	CCONJ
fcis-20343	18	52	there	there	PRON
fcis-20343	18	53	is	be	VERB
fcis-20343	18	54	a	a	DET
fcis-20343	18	55	blocking	block	VERB
fcis-20343	18	56	phenomenon	phenomenon	NOUN
fcis-20343	18	57	between	between	ADP
fcis-20343	18	58	the	the	DET
fcis-20343	18	59	targets	target	NOUN
fcis-20343	18	60	,	,	PUNCT
fcis-20343	18	61	which	which	PRON
fcis-20343	18	62	makes	make	VERB
fcis-20343	18	63	the	the	DET
fcis-20343	18	64	current	current	ADJ
fcis-20343	18	65	mainstream	mainstream	NOUN
fcis-20343	18	66	detection	detection	NOUN
fcis-20343	18	67	algorithm	algorithm	NOUN
fcis-20343	18	68	when	when	SCONJ
fcis-20343	18	69	detecting	detect	VERB
fcis-20343	18	70	the	the	DET
fcis-20343	18	71	targets	target	NOUN
fcis-20343	18	72	in	in	ADP
fcis-20343	18	73	the	the	DET
fcis-20343	18	74	aerial	aerial	ADJ
fcis-20343	18	75	images	image	NOUN
fcis-20343	18	76	.	.	PUNCT
fcis-20343	19	1	the	the	DET
fcis-20343	19	2	key	key	ADJ
fcis-20343	19	3	information	information	NOUN
fcis-20343	19	4	of	of	ADP
fcis-20343	19	5	the	the	DET
fcis-20343	19	6	target	target	NOUN
fcis-20343	19	7	can	can	AUX
fcis-20343	19	8	not	not	PART
fcis-20343	19	9	be	be	AUX
fcis-20343	19	10	extracted	extract	VERB
fcis-20343	19	11	well	well	ADV
fcis-20343	19	12	,	,	PUNCT
fcis-20343	19	13	so	so	SCONJ
fcis-20343	19	14	that	that	SCONJ
fcis-20343	19	15	the	the	DET
fcis-20343	19	16	algorithm	algorithm	NOUN
fcis-20343	19	17	is	be	AUX
fcis-20343	19	18	prone	prone	ADJ
fcis-20343	19	19	to	to	ADP
fcis-20343	19	20	false	false	ADJ
fcis-20343	19	21	detection	detection	NOUN
fcis-20343	19	22	and	and	CCONJ
fcis-20343	19	23	missed	miss	VERB
fcis-20343	19	24	detection	detection	NOUN
fcis-20343	19	25	in	in	ADP
fcis-20343	19	26	the	the	DET
fcis-20343	19	27	process	process	NOUN
fcis-20343	19	28	of	of	ADP
fcis-20343	19	29	aerial	aerial	ADJ
fcis-20343	19	30	image	image	NOUN
fcis-20343	19	31	detection	detection	NOUN
fcis-20343	19	32	,	,	PUNCT
fcis-20343	19	33	which	which	PRON
fcis-20343	19	34	makes	make	VERB
fcis-20343	19	35	the	the	DET
fcis-20343	19	36	target	target	NOUN
fcis-20343	19	37	difficult	difficult	ADJ
fcis-20343	19	38	to	to	PART
fcis-20343	19	39	be	be	AUX
fcis-20343	19	40	accurately	accurately	ADV
fcis-20343	19	41	observed	observe	VERB
fcis-20343	19	42	in	in	ADP
fcis-20343	19	43	the	the	DET
fcis-20343	19	44	aerial	aerial	ADJ
fcis-20343	19	45	image	image	NOUN
fcis-20343	19	46	.	.	PUNCT
fcis-20343	20	1	at	at	ADP
fcis-20343	20	2	present	present	ADJ
fcis-20343	20	3	,	,	PUNCT
fcis-20343	20	4	the	the	DET
fcis-20343	20	5	mainstream	mainstream	NOUN
fcis-20343	20	6	detection	detection	NOUN
fcis-20343	20	7	algorithm	algorithm	NOUN
fcis-20343	20	8	model	model	NOUN
fcis-20343	20	9	is	be	AUX
fcis-20343	20	10	large	large	ADJ
fcis-20343	20	11	,	,	PUNCT
fcis-20343	20	12	and	and	CCONJ
fcis-20343	20	13	the	the	DET
fcis-20343	20	14	requirements	requirement	NOUN
fcis-20343	20	15	for	for	ADP
fcis-20343	20	16	the	the	DET
fcis-20343	20	17	deployment	deployment	NOUN
fcis-20343	20	18	of	of	ADP
fcis-20343	20	19	hardware	hardware	NOUN
fcis-20343	20	20	platform	platform	NOUN
fcis-20343	20	21	are	be	AUX
fcis-20343	20	22	high	high	ADJ
fcis-20343	20	23	.	.	PUNCT
fcis-20343	21	1	however	however	ADV
fcis-20343	21	2	,	,	PUNCT
fcis-20343	21	3	the	the	DET
fcis-20343	21	4	hardware	hardware	NOUN
fcis-20343	21	5	platform	platform	NOUN
fcis-20343	21	6	of	of	ADP
fcis-20343	21	7	the	the	DET
fcis-20343	21	8	actual	actual	ADJ
fcis-20343	21	9	application	application	NOUN
fcis-20343	21	10	of	of	ADP
fcis-20343	21	11	uav	uav	PROPN
fcis-20343	21	12	is	be	AUX
fcis-20343	21	13	limited	limit	VERB
fcis-20343	21	14	in	in	ADP
fcis-20343	21	15	computing	compute	VERB
fcis-20343	21	16	resources	resource	NOUN
fcis-20343	21	17	,	,	PUNCT
fcis-20343	21	18	which	which	PRON
fcis-20343	21	19	can	can	AUX
fcis-20343	21	20	not	not	PART
fcis-20343	21	21	well	well	ADV
fcis-20343	21	22	meet	meet	VERB
fcis-20343	21	23	the	the	DET
fcis-20343	21	24	deployment	deployment	NOUN
fcis-20343	21	25	of	of	ADP
fcis-20343	21	26	the	the	DET
fcis-20343	21	27	current	current	ADJ
fcis-20343	21	28	mainstream	mainstream	NOUN
fcis-20343	21	29	target	target	NOUN
fcis-20343	21	30	detection	detection	NOUN
fcis-20343	21	31	algorithm	algorithm	NOUN
fcis-20343	21	32	,	,	PUNCT
fcis-20343	21	33	which	which	PRON
fcis-20343	21	34	brings	bring	VERB
fcis-20343	21	35	great	great	ADJ
fcis-20343	21	36	challenges	challenge	NOUN
fcis-20343	21	37	to	to	ADP
fcis-20343	21	38	the	the	DET
fcis-20343	21	39	target	target	NOUN
fcis-20343	21	40	detection	detection	NOUN
fcis-20343	21	41	of	of	ADP
fcis-20343	21	42	uav	uav	PROPN
fcis-20343	21	43	aerial	aerial	ADJ
fcis-20343	21	44	photography	photography	NOUN
fcis-20343	21	45	in	in	ADP
fcis-20343	21	46	the	the	DET
fcis-20343	21	47	practical	practical	ADJ
fcis-20343	21	48	application	application	NOUN
fcis-20343	21	49	.	.	PUNCT
fcis-20343	22	1	above	above	ADP
fcis-20343	22	2	all	all	PRON
fcis-20343	22	3	,	,	PUNCT
fcis-20343	22	4	to	to	PART
fcis-20343	22	5	design	design	VERB
fcis-20343	22	6	a	a	PRON
fcis-20343	22	7	at	at	ADP
fcis-20343	22	8	the	the	DET
fcis-20343	22	9	same	same	ADJ
fcis-20343	22	10	time	time	NOUN
fcis-20343	22	11	meet	meet	VERB
fcis-20343	22	12	the	the	DET
fcis-20343	22	13	requirements	requirement	NOUN
fcis-20343	22	14	of	of	ADP
fcis-20343	22	15	uav	uav	PROPN
fcis-20343	22	16	aerial	aerial	ADJ
fcis-20343	22	17	image	image	NOUN
fcis-20343	22	18	target	target	NOUN
fcis-20343	22	19	detection	detection	NOUN
fcis-20343	22	20	accuracy	accuracy	NOUN
fcis-20343	22	21	and	and	CCONJ
fcis-20343	22	22	easy	easy	ADJ
fcis-20343	22	23	hardware	hardware	NOUN
fcis-20343	22	24	platform	platform	NOUN
fcis-20343	22	25	test	test	NOUN
fcis-20343	22	26	model	model	NOUN
fcis-20343	22	27	of	of	ADP
fcis-20343	22	28	deployment	deployment	NOUN
fcis-20343	22	29	requirements	requirement	NOUN
fcis-20343	22	30	,	,	PUNCT
fcis-20343	22	31	for	for	ADP
fcis-20343	22	32	unmanned	unmanned	ADJ
fcis-20343	22	33	aerial	aerial	ADJ
fcis-20343	22	34	vehicle	vehicle	NOUN
fcis-20343	22	35	(	(	PUNCT
fcis-20343	22	36	uav	uav	PROPN
fcis-20343	22	37	)	)	PUNCT
fcis-20343	22	38	in	in	ADP
fcis-20343	22	39	the	the	DET
fcis-20343	22	40	practical	practical	ADJ
fcis-20343	22	41	application	application	NOUN
fcis-20343	22	42	in	in	ADP
fcis-20343	22	43	real	real	ADJ
fcis-20343	22	44	life	life	NOUN
fcis-20343	22	45	is	be	AUX
fcis-20343	22	46	of	of	ADP
fcis-20343	22	47	great	great	ADJ
fcis-20343	22	48	significance	significance	NOUN
fcis-20343	22	49	.	.	PUNCT
fcis-20343	23	1	in	in	ADP
fcis-20343	23	2	this	this	DET
fcis-20343	23	3	paper	paper	NOUN
fcis-20343	23	4	,	,	PUNCT
fcis-20343	23	5	based	base	VERB
fcis-20343	23	6	on	on	ADP
fcis-20343	23	7	the	the	DET
fcis-20343	23	8	lightweight	lightweight	ADJ
fcis-20343	23	9	model	model	NOUN
fcis-20343	23	10	of	of	ADP
fcis-20343	23	11	yolov7	yolov7	NOUN
fcis-20343	23	12	network	network	NOUN
fcis-20343	23	13	model	model	NOUN
fcis-20343	23	14	yolov7	yolov7	ADV
fcis-20343	23	15	-	-	PUNCT
fcis-20343	23	16	tiny	tiny	ADJ
fcis-20343	23	17	,	,	PUNCT
fcis-20343	23	18	relevant	relevant	ADJ
fcis-20343	23	19	research	research	NOUN
fcis-20343	23	20	is	be	AUX
fcis-20343	23	21	carried	carry	VERB
fcis-20343	23	22	out	out	ADP
fcis-20343	23	23	to	to	PART
fcis-20343	23	24	solve	solve	VERB
fcis-20343	23	25	the	the	DET
fcis-20343	23	26	problems	problem	NOUN
fcis-20343	23	27	that	that	PRON
fcis-20343	23	28	the	the	DET
fcis-20343	23	29	number	number	NOUN
fcis-20343	23	30	of	of	ADP
fcis-20343	23	31	detection	detection	NOUN
fcis-20343	23	32	model	model	NOUN
fcis-20343	23	33	parameters	parameter	NOUN
fcis-20343	23	34	is	be	AUX
fcis-20343	23	35	large	large	ADJ
fcis-20343	23	36	and	and	CCONJ
fcis-20343	23	37	the	the	DET
fcis-20343	23	38	model	model	NOUN
fcis-20343	23	39	calculation	calculation	NOUN
fcis-20343	23	40	is	be	AUX
fcis-20343	23	41	complex	complex	ADJ
fcis-20343	23	42	and	and	CCONJ
fcis-20343	23	43	difficult	difficult	ADJ
fcis-20343	23	44	to	to	PART
fcis-20343	23	45	deploy	deploy	VERB
fcis-20343	23	46	.	.	PUNCT
fcis-20343	24	1	the	the	DET
fcis-20343	24	2	contributions	contribution	NOUN
fcis-20343	24	3	of	of	ADP
fcis-20343	24	4	this	this	DET
fcis-20343	24	5	paper	paper	NOUN
fcis-20343	24	6	are	be	AUX
fcis-20343	24	7	as	as	SCONJ
fcis-20343	24	8	follows	follow	VERB
fcis-20343	24	9	:	:	PUNCT
fcis-20343	24	10	(	(	PUNCT
fcis-20343	24	11	1)the	1)the	DET
fcis-20343	24	12	elan	elan	PROPN
fcis-20343	24	13	module	module	NOUN
fcis-20343	24	14	in	in	ADP
fcis-20343	24	15	the	the	DET
fcis-20343	24	16	backbone	backbone	NOUN
fcis-20343	24	17	network	network	NOUN
fcis-20343	24	18	of	of	ADP
fcis-20343	24	19	the	the	DET
fcis-20343	24	20	original	original	ADJ
fcis-20343	24	21	network	network	NOUN
fcis-20343	24	22	model	model	NOUN
fcis-20343	24	23	is	be	AUX
fcis-20343	24	24	improved	improve	VERB
fcis-20343	24	25	,	,	PUNCT
fcis-20343	24	26	and	and	CCONJ
fcis-20343	24	27	partial	partial	ADJ
fcis-20343	24	28	convolution	convolution	NOUN
fcis-20343	24	29	pconv	pconv	NOUN
fcis-20343	24	30	is	be	AUX
fcis-20343	24	31	introduced	introduce	VERB
fcis-20343	24	32	to	to	PART
fcis-20343	24	33	replace	replace	VERB
fcis-20343	24	34	the	the	DET
fcis-20343	24	35	basic	basic	ADJ
fcis-20343	24	36	convolution	convolution	NOUN
fcis-20343	24	37	conv	conv	NOUN
fcis-20343	24	38	in	in	ADP
fcis-20343	24	39	the	the	DET
fcis-20343	24	40	original	original	ADJ
fcis-20343	24	41	elan	elan	NOUN
fcis-20343	24	42	module	module	NOUN
fcis-20343	24	43	,	,	PUNCT
fcis-20343	24	44	so	so	SCONJ
fcis-20343	24	45	as	as	SCONJ
fcis-20343	24	46	to	to	PART
fcis-20343	24	47	reduce	reduce	VERB
fcis-20343	24	48	the	the	DET
fcis-20343	24	49	redundancy	redundancy	NOUN
fcis-20343	24	50	and	and	CCONJ
fcis-20343	24	51	internal	internal	ADJ
fcis-20343	24	52	access	access	NOUN
fcis-20343	24	53	in	in	ADP
fcis-20343	24	54	the	the	DET
fcis-20343	24	55	model	model	NOUN
fcis-20343	24	56	calculation	calculation	NOUN
fcis-20343	24	57	,	,	PUNCT
fcis-20343	24	58	and	and	CCONJ
fcis-20343	24	59	reduce	reduce	VERB
fcis-20343	24	60	the	the	DET
fcis-20343	24	61	number	number	NOUN
fcis-20343	24	62	of	of	ADP
fcis-20343	24	63	parameters	parameter	NOUN
fcis-20343	24	64	and	and	CCONJ
fcis-20343	24	65	calculation	calculation	NOUN
fcis-20343	24	66	of	of	ADP
fcis-20343	24	67	the	the	DET
fcis-20343	24	68	model	model	NOUN
fcis-20343	24	69	.	.	PUNCT
fcis-20343	25	1	(	(	PUNCT
fcis-20343	25	2	2)on	2)on	PROPN
fcis-20343	25	3	the	the	DET
fcis-20343	25	4	basis	basis	NOUN
fcis-20343	25	5	of	of	ADP
fcis-20343	25	6	the	the	DET
fcis-20343	25	7	head	head	NOUN
fcis-20343	25	8	part	part	NOUN
fcis-20343	25	9	of	of	ADP
fcis-20343	25	10	the	the	DET
fcis-20343	25	11	original	original	ADJ
fcis-20343	25	12	detection	detection	NOUN
fcis-20343	25	13	model	model	NOUN
fcis-20343	25	14	,	,	PUNCT
fcis-20343	25	15	a	a	DET
fcis-20343	25	16	layer	layer	NOUN
fcis-20343	25	17	of	of	ADP
fcis-20343	25	18	upper	upper	ADJ
fcis-20343	25	19	sampling	sampling	NOUN
fcis-20343	25	20	is	be	AUX
fcis-20343	25	21	added	add	VERB
fcis-20343	25	22	to	to	PART
fcis-20343	25	23	enrich	enrich	VERB
fcis-20343	25	24	the	the	DET
fcis-20343	25	25	highlevel	highlevel	ADJ
fcis-20343	25	26	semantic	semantic	ADJ
fcis-20343	25	27	information	information	NOUN
fcis-20343	25	28	of	of	ADP
fcis-20343	25	29	features	feature	NOUN
fcis-20343	25	30	,	,	PUNCT
fcis-20343	25	31	thereby	thereby	ADV
fcis-20343	25	32	increasing	increase	VERB
fcis-20343	25	33	the	the	DET
fcis-20343	25	34	expression	expression	NOUN
fcis-20343	25	35	ability	ability	NOUN
fcis-20343	25	36	of	of	ADP
fcis-20343	25	37	features	feature	NOUN
fcis-20343	25	38	in	in	ADP
fcis-20343	25	39	the	the	DET
fcis-20343	25	40	detection	detection	NOUN
fcis-20343	25	41	network	network	NOUN
fcis-20343	25	42	.	.	PUNCT
fcis-20343	26	1	in	in	ADP
fcis-20343	26	2	the	the	DET
fcis-20343	26	3	detection	detection	NOUN
fcis-20343	26	4	head	head	VERB
fcis-20343	26	5	part	part	NOUN
fcis-20343	26	6	of	of	ADP
fcis-20343	26	7	the	the	DET
fcis-20343	26	8	model	model	NOUN
fcis-20343	26	9	,	,	PUNCT
fcis-20343	26	10	the	the	DET
fcis-20343	26	11	detection	detection	NOUN
fcis-20343	26	12	head	head	NOUN
fcis-20343	26	13	for	for	ADP
fcis-20343	26	14	large	large	ADJ
fcis-20343	26	15	36	36	NUM
fcis-20343	26	16	targets	target	NOUN
fcis-20343	26	17	in	in	ADP
fcis-20343	26	18	the	the	DET
fcis-20343	26	19	original	original	ADJ
fcis-20343	26	20	network	network	NOUN
fcis-20343	26	21	is	be	AUX
fcis-20343	26	22	removed	remove	VERB
fcis-20343	26	23	,	,	PUNCT
fcis-20343	26	24	and	and	CCONJ
fcis-20343	26	25	the	the	DET
fcis-20343	26	26	detection	detection	NOUN
fcis-20343	26	27	head	head	NOUN
fcis-20343	26	28	for	for	ADP
fcis-20343	26	29	smaller	small	ADJ
fcis-20343	26	30	targets	target	NOUN
fcis-20343	26	31	in	in	ADP
fcis-20343	26	32	aerial	aerial	ADJ
fcis-20343	26	33	images	image	NOUN
fcis-20343	26	34	is	be	AUX
fcis-20343	26	35	added	add	VERB
fcis-20343	26	36	;	;	PUNCT
fcis-20343	26	37	(	(	PUNCT
fcis-20343	26	38	3)the	3)the	NUM
fcis-20343	26	39	se	se	PROPN
fcis-20343	26	40	attention	attention	NOUN
fcis-20343	26	41	mechanism	mechanism	NOUN
fcis-20343	26	42	is	be	AUX
fcis-20343	26	43	introduced	introduce	VERB
fcis-20343	26	44	into	into	ADP
fcis-20343	26	45	the	the	DET
fcis-20343	26	46	backbone	backbone	NOUN
fcis-20343	26	47	network	network	NOUN
fcis-20343	26	48	to	to	PART
fcis-20343	26	49	enable	enable	VERB
fcis-20343	26	50	the	the	DET
fcis-20343	26	51	detection	detection	NOUN
fcis-20343	26	52	model	model	NOUN
fcis-20343	26	53	to	to	PART
fcis-20343	26	54	pay	pay	VERB
fcis-20343	26	55	attention	attention	NOUN
fcis-20343	26	56	to	to	ADP
fcis-20343	26	57	more	more	ADJ
fcis-20343	26	58	target	target	NOUN
fcis-20343	26	59	feature	feature	NOUN
fcis-20343	26	60	information	information	NOUN
fcis-20343	26	61	during	during	ADP
fcis-20343	26	62	the	the	DET
fcis-20343	26	63	feature	feature	NOUN
fcis-20343	26	64	extraction	extraction	NOUN
fcis-20343	26	65	process	process	NOUN
fcis-20343	26	66	.	.	PUNCT
fcis-20343	27	1	(	(	PUNCT
fcis-20343	27	2	4)the	4)the	DET
fcis-20343	27	3	loss	loss	NOUN
fcis-20343	27	4	function	function	NOUN
fcis-20343	27	5	of	of	ADP
fcis-20343	27	6	the	the	DET
fcis-20343	27	7	network	network	NOUN
fcis-20343	27	8	is	be	AUX
fcis-20343	27	9	improved	improve	VERB
fcis-20343	27	10	,	,	PUNCT
fcis-20343	27	11	so	so	SCONJ
fcis-20343	27	12	that	that	SCONJ
fcis-20343	27	13	the	the	DET
fcis-20343	27	14	improved	improved	ADJ
fcis-20343	27	15	model	model	NOUN
fcis-20343	27	16	has	have	VERB
fcis-20343	27	17	better	well	ADJ
fcis-20343	27	18	performance	performance	NOUN
fcis-20343	27	19	in	in	ADP
fcis-20343	27	20	convergence	convergence	NOUN
fcis-20343	27	21	speed	speed	NOUN
fcis-20343	27	22	and	and	CCONJ
fcis-20343	27	23	detection	detection	NOUN
fcis-20343	27	24	effect	effect	NOUN
fcis-20343	27	25	;	;	PUNCT
fcis-20343	27	26	(	(	PUNCT
fcis-20343	27	27	5)through	5)through	NUM
fcis-20343	27	28	the	the	DET
fcis-20343	27	29	corresponding	corresponding	ADJ
fcis-20343	27	30	ablation	ablation	NOUN
fcis-20343	27	31	experiments	experiment	NOUN
fcis-20343	27	32	and	and	CCONJ
fcis-20343	27	33	the	the	DET
fcis-20343	27	34	comparison	comparison	NOUN
fcis-20343	27	35	experiments	experiment	NOUN
fcis-20343	27	36	with	with	ADP
fcis-20343	27	37	the	the	DET
fcis-20343	27	38	current	current	ADJ
fcis-20343	27	39	mainstream	mainstream	ADJ
fcis-20343	27	40	single	single	ADJ
fcis-20343	27	41	-	-	PUNCT
fcis-20343	27	42	stage	stage	NOUN
fcis-20343	27	43	detection	detection	NOUN
fcis-20343	27	44	model	model	NOUN
fcis-20343	27	45	,	,	PUNCT
fcis-20343	27	46	the	the	DET
fcis-20343	27	47	superiority	superiority	NOUN
fcis-20343	27	48	and	and	CCONJ
fcis-20343	27	49	effectiveness	effectiveness	NOUN
fcis-20343	27	50	of	of	ADP
fcis-20343	27	51	the	the	DET
fcis-20343	27	52	model	model	NOUN
fcis-20343	27	53	described	describe	VERB
fcis-20343	27	54	in	in	ADP
fcis-20343	27	55	this	this	DET
fcis-20343	27	56	paper	paper	NOUN
fcis-20343	27	57	are	be	AUX
fcis-20343	27	58	proved	prove	VERB
fcis-20343	27	59	.	.	PUNCT
fcis-20343	28	1	the	the	DET
fcis-20343	28	2	corresponding	corresponding	ADJ
fcis-20343	28	3	structure	structure	NOUN
fcis-20343	28	4	of	of	ADP
fcis-20343	28	5	this	this	DET
fcis-20343	28	6	paper	paper	NOUN
fcis-20343	28	7	is	be	AUX
fcis-20343	28	8	arranged	arrange	VERB
fcis-20343	28	9	as	as	SCONJ
fcis-20343	28	10	follows	follow	VERB
fcis-20343	28	11	:	:	PUNCT
fcis-20343	28	12	section	section	NOUN
fcis-20343	28	13	2	2	NUM
fcis-20343	28	14	describes	describe	VERB
fcis-20343	28	15	the	the	DET
fcis-20343	28	16	current	current	ADJ
fcis-20343	28	17	object	object	NOUN
fcis-20343	28	18	detection	detection	NOUN
fcis-20343	28	19	algorithms	algorithm	NOUN
fcis-20343	28	20	and	and	CCONJ
fcis-20343	28	21	the	the	DET
fcis-20343	28	22	related	related	ADJ
fcis-20343	28	23	work	work	NOUN
fcis-20343	28	24	in	in	ADP
fcis-20343	28	25	this	this	DET
fcis-20343	28	26	field	field	NOUN
fcis-20343	28	27	.	.	PUNCT
fcis-20343	29	1	section	section	NOUN
fcis-20343	29	2	3	3	NUM
fcis-20343	29	3	is	be	AUX
fcis-20343	29	4	the	the	DET
fcis-20343	29	5	detailed	detailed	ADJ
fcis-20343	29	6	introduction	introduction	NOUN
fcis-20343	29	7	and	and	CCONJ
fcis-20343	29	8	elaboration	elaboration	NOUN
fcis-20343	29	9	of	of	ADP
fcis-20343	29	10	the	the	DET
fcis-20343	29	11	improved	improved	ADJ
fcis-20343	29	12	method	method	NOUN
fcis-20343	29	13	proposed	propose	VERB
fcis-20343	29	14	in	in	ADP
fcis-20343	29	15	this	this	DET
fcis-20343	29	16	paper	paper	NOUN
fcis-20343	29	17	.	.	PUNCT
fcis-20343	30	1	section	section	NOUN
fcis-20343	30	2	4	4	NUM
fcis-20343	30	3	is	be	AUX
fcis-20343	30	4	devoted	devote	VERB
fcis-20343	30	5	to	to	ADP
fcis-20343	30	6	the	the	DET
fcis-20343	30	7	implementation	implementation	NOUN
fcis-20343	30	8	details	detail	NOUN
fcis-20343	30	9	of	of	ADP
fcis-20343	30	10	the	the	DET
fcis-20343	30	11	relevant	relevant	ADJ
fcis-20343	30	12	tests	test	NOUN
fcis-20343	30	13	conducted	conduct	VERB
fcis-20343	30	14	in	in	ADP
fcis-20343	30	15	this	this	DET
fcis-20343	30	16	paper	paper	NOUN
fcis-20343	30	17	,	,	PUNCT
fcis-20343	30	18	as	as	ADV
fcis-20343	30	19	well	well	ADV
fcis-20343	30	20	as	as	ADP
fcis-20343	30	21	the	the	DET
fcis-20343	30	22	analysis	analysis	NOUN
fcis-20343	30	23	and	and	CCONJ
fcis-20343	30	24	discussion	discussion	NOUN
fcis-20343	30	25	of	of	ADP
fcis-20343	30	26	the	the	DET
fcis-20343	30	27	corresponding	corresponding	ADJ
fcis-20343	30	28	experimental	experimental	ADJ
fcis-20343	30	29	results	result	NOUN
fcis-20343	30	30	.	.	PUNCT
fcis-20343	31	1	section	section	NOUN
fcis-20343	31	2	5	5	NUM
fcis-20343	31	3	provides	provide	VERB
fcis-20343	31	4	a	a	DET
fcis-20343	31	5	summary	summary	NOUN
fcis-20343	31	6	of	of	ADP
fcis-20343	31	7	the	the	DET
fcis-20343	31	8	paper	paper	NOUN
fcis-20343	31	9	and	and	CCONJ
fcis-20343	31	10	an	an	DET
fcis-20343	31	11	outlook	outlook	NOUN
fcis-20343	31	12	for	for	ADP
fcis-20343	31	13	future	future	ADJ
fcis-20343	31	14	work	work	NOUN
fcis-20343	31	15	.	.	PUNCT
fcis-20343	32	1	2	2	X
fcis-20343	32	2	.	.	X
fcis-20343	32	3	related	relate	VERB
fcis-20343	32	4	work	work	NOUN
fcis-20343	32	5	now	now	ADV
fcis-20343	32	6	target	target	VERB
fcis-20343	32	7	detection	detection	NOUN
fcis-20343	32	8	algorithm	algorithm	NOUN
fcis-20343	32	9	based	base	VERB
fcis-20343	32	10	on	on	ADP
fcis-20343	32	11	depth	depth	NOUN
fcis-20343	32	12	of	of	ADP
fcis-20343	32	13	learning	learning	NOUN
fcis-20343	32	14	has	have	AUX
fcis-20343	32	15	been	be	AUX
fcis-20343	32	16	widely	widely	ADV
fcis-20343	32	17	used	use	VERB
fcis-20343	32	18	in	in	ADP
fcis-20343	32	19	various	various	ADJ
fcis-20343	32	20	areas	area	NOUN
fcis-20343	32	21	,	,	PUNCT
fcis-20343	32	22	according	accord	VERB
fcis-20343	32	23	to	to	ADP
fcis-20343	32	24	the	the	DET
fcis-20343	32	25	principle	principle	NOUN
fcis-20343	32	26	of	of	ADP
fcis-20343	32	27	the	the	DET
fcis-20343	32	28	detection	detection	NOUN
fcis-20343	32	29	algorithm	algorithm	NOUN
fcis-20343	32	30	of	of	ADP
fcis-20343	32	31	network	network	NOUN
fcis-20343	32	32	structure	structure	NOUN
fcis-20343	32	33	and	and	CCONJ
fcis-20343	32	34	detection	detection	NOUN
fcis-20343	32	35	can	can	AUX
fcis-20343	32	36	be	be	AUX
fcis-20343	32	37	divided	divide	VERB
fcis-20343	32	38	into	into	ADP
fcis-20343	32	39	three	three	NUM
fcis-20343	32	40	categories	category	NOUN
fcis-20343	32	41	:	:	PUNCT
fcis-20343	32	42	the	the	DET
fcis-20343	32	43	target	target	NOUN
fcis-20343	32	44	detection	detection	NOUN
fcis-20343	32	45	algorithm	algorithm	NOUN
fcis-20343	32	46	based	base	VERB
fcis-20343	32	47	on	on	ADP
fcis-20343	32	48	the	the	DET
fcis-20343	32	49	transformer	transformer	NOUN
fcis-20343	32	50	,	,	PUNCT
fcis-20343	32	51	single	single	ADJ
fcis-20343	32	52	phase	phase	NOUN
fcis-20343	32	53	target	target	NOUN
fcis-20343	32	54	detection	detection	NOUN
fcis-20343	32	55	algorithm	algorithm	NOUN
fcis-20343	32	56	and	and	CCONJ
fcis-20343	32	57	double	double	ADJ
fcis-20343	32	58	stage	stage	NOUN
fcis-20343	32	59	target	target	NOUN
fcis-20343	32	60	detection	detection	NOUN
fcis-20343	32	61	algorithm	algorithm	NOUN
fcis-20343	33	1	[	[	X
fcis-20343	33	2	6	6	NUM
fcis-20343	33	3	]	]	PUNCT
fcis-20343	33	4	.	.	PUNCT
fcis-20343	34	1	transformer	transformer	NOUN
fcis-20343	34	2	-	-	PUNCT
fcis-20343	34	3	based	base	VERB
fcis-20343	34	4	object	object	NOUN
fcis-20343	34	5	detection	detection	NOUN
fcis-20343	34	6	algorithms	algorithm	NOUN
fcis-20343	34	7	include	include	VERB
fcis-20343	34	8	detr	detr	NOUN
fcis-20343	34	9	[	[	X
fcis-20343	34	10	7	7	NUM
fcis-20343	34	11	]	]	PUNCT
fcis-20343	34	12	,	,	PUNCT
fcis-20343	34	13	dino[8	dino[8	PROPN
fcis-20343	34	14	]	]	PUNCT
fcis-20343	34	15	,	,	PUNCT
fcis-20343	34	16	pix2seq[9	pix2seq[9	PROPN
fcis-20343	34	17	]	]	PUNCT
fcis-20343	34	18	,	,	PUNCT
fcis-20343	34	19	pvt	pvt	PROPN
fcis-20343	34	20	v2[10	v2[10	X
fcis-20343	34	21	]	]	X
fcis-20343	34	22	,	,	PUNCT
fcis-20343	34	23	etc	etc	X
fcis-20343	34	24	.	.	X
fcis-20343	34	25	among	among	ADP
fcis-20343	34	26	them	they	PRON
fcis-20343	34	27	,	,	PUNCT
fcis-20343	34	28	detr	detr	NOUN
fcis-20343	34	29	algorithm	algorithm	NOUN
fcis-20343	34	30	eliminates	eliminate	VERB
fcis-20343	34	31	many	many	ADJ
fcis-20343	34	32	requirements	requirement	NOUN
fcis-20343	34	33	for	for	ADP
fcis-20343	34	34	hand	hand	NOUN
fcis-20343	34	35	-	-	PUNCT
fcis-20343	34	36	designed	design	VERB
fcis-20343	34	37	components	component	NOUN
fcis-20343	34	38	,	,	PUNCT
fcis-20343	34	39	such	such	ADJ
fcis-20343	34	40	as	as	ADP
fcis-20343	34	41	the	the	DET
fcis-20343	34	42	constraint	constraint	NOUN
fcis-20343	34	43	of	of	ADP
fcis-20343	34	44	no	no	DET
fcis-20343	34	45	anchor	anchor	NOUN
fcis-20343	34	46	prior	prior	ADJ
fcis-20343	34	47	box	box	NOUN
fcis-20343	34	48	,	,	PUNCT
fcis-20343	34	49	and	and	CCONJ
fcis-20343	34	50	processing	processing	NOUN
fcis-20343	34	51	steps	step	NOUN
fcis-20343	34	52	such	such	ADJ
fcis-20343	34	53	as	as	ADP
fcis-20343	34	54	non	non	ADJ
fcis-20343	34	55	-	-	ADJ
fcis-20343	34	56	maximum	maximum	ADJ
fcis-20343	34	57	suppression	suppression	NOUN
fcis-20343	34	58	.	.	PUNCT
fcis-20343	35	1	it	it	PRON
fcis-20343	35	2	simplifies	simplify	VERB
fcis-20343	35	3	the	the	DET
fcis-20343	35	4	process	process	NOUN
fcis-20343	35	5	of	of	ADP
fcis-20343	35	6	object	object	NOUN
fcis-20343	35	7	detection	detection	NOUN
fcis-20343	35	8	,	,	PUNCT
fcis-20343	35	9	but	but	CCONJ
fcis-20343	35	10	the	the	DET
fcis-20343	35	11	algorithm	algorithm	NOUN
fcis-20343	35	12	also	also	ADV
fcis-20343	35	13	has	have	VERB
fcis-20343	35	14	some	some	DET
fcis-20343	35	15	shortcomings	shortcoming	NOUN
fcis-20343	35	16	,	,	PUNCT
fcis-20343	35	17	such	such	ADJ
fcis-20343	35	18	as	as	ADP
fcis-20343	35	19	slow	slow	ADJ
fcis-20343	35	20	convergence	convergence	NOUN
fcis-20343	35	21	speed	speed	NOUN
fcis-20343	35	22	in	in	ADP
fcis-20343	35	23	the	the	DET
fcis-20343	35	24	training	training	NOUN
fcis-20343	35	25	process	process	NOUN
fcis-20343	35	26	and	and	CCONJ
fcis-20343	35	27	poor	poor	ADJ
fcis-20343	35	28	detection	detection	NOUN
fcis-20343	35	29	effect	effect	NOUN
fcis-20343	35	30	for	for	ADP
fcis-20343	35	31	small	small	ADJ
fcis-20343	35	32	objects	object	NOUN
fcis-20343	35	33	.	.	PUNCT
fcis-20343	36	1	single	single	ADJ
fcis-20343	36	2	-	-	PUNCT
fcis-20343	36	3	stage	stage	NOUN
fcis-20343	36	4	object	object	NOUN
fcis-20343	36	5	detection	detection	NOUN
fcis-20343	36	6	algorithms	algorithm	NOUN
fcis-20343	36	7	include	include	VERB
fcis-20343	36	8	retinanet[11	retinanet[11	VERB
fcis-20343	36	9	]	]	PUNCT
fcis-20343	36	10	,	,	PUNCT
fcis-20343	36	11	ssd[12	ssd[12	PROPN
fcis-20343	36	12	]	]	X
fcis-20343	36	13	series	series	NOUN
fcis-20343	36	14	,	,	PUNCT
fcis-20343	36	15	and	and	CCONJ
fcis-20343	36	16	yolo[13	yolo[13	X
fcis-20343	36	17	-	-	SYM
fcis-20343	36	18	18	18	NUM
fcis-20343	36	19	]	]	PUNCT
fcis-20343	36	20	series	series	NOUN
fcis-20343	36	21	.	.	PUNCT
fcis-20343	37	1	single	single	ADJ
fcis-20343	37	2	-	-	PUNCT
fcis-20343	37	3	stage	stage	NOUN
fcis-20343	37	4	object	object	NOUN
fcis-20343	37	5	detection	detection	NOUN
fcis-20343	37	6	algorithms	algorithm	NOUN
fcis-20343	37	7	do	do	AUX
fcis-20343	37	8	not	not	PART
fcis-20343	37	9	need	need	VERB
fcis-20343	37	10	a	a	DET
fcis-20343	37	11	proposal	proposal	NOUN
fcis-20343	37	12	box	box	NOUN
fcis-20343	37	13	in	in	ADP
fcis-20343	37	14	the	the	DET
fcis-20343	37	15	detection	detection	NOUN
fcis-20343	37	16	process	process	NOUN
fcis-20343	37	17	,	,	PUNCT
fcis-20343	37	18	and	and	CCONJ
fcis-20343	37	19	directly	directly	ADV
fcis-20343	37	20	regression	regression	VERB
fcis-20343	37	21	the	the	DET
fcis-20343	37	22	target	target	NOUN
fcis-20343	37	23	category	category	NOUN
fcis-20343	37	24	probability	probability	NOUN
fcis-20343	37	25	and	and	CCONJ
fcis-20343	37	26	position	position	NOUN
fcis-20343	37	27	coordinates	coordinate	NOUN
fcis-20343	37	28	,	,	PUNCT
fcis-20343	37	29	so	so	SCONJ
fcis-20343	37	30	the	the	DET
fcis-20343	37	31	detection	detection	NOUN
fcis-20343	37	32	speed	speed	NOUN
fcis-20343	37	33	of	of	ADP
fcis-20343	37	34	this	this	DET
fcis-20343	37	35	kind	kind	NOUN
fcis-20343	37	36	of	of	ADP
fcis-20343	37	37	algorithm	algorithm	NOUN
fcis-20343	37	38	is	be	AUX
fcis-20343	37	39	faster	fast	ADJ
fcis-20343	37	40	.	.	PUNCT
fcis-20343	38	1	however	however	ADV
fcis-20343	38	2	,	,	PUNCT
fcis-20343	38	3	the	the	DET
fcis-20343	38	4	detection	detection	NOUN
fcis-20343	38	5	accuracy	accuracy	NOUN
fcis-20343	38	6	of	of	ADP
fcis-20343	38	7	the	the	DET
fcis-20343	38	8	algorithm	algorithm	NOUN
fcis-20343	38	9	is	be	AUX
fcis-20343	38	10	relatively	relatively	ADV
fcis-20343	38	11	low	low	ADJ
fcis-20343	38	12	.	.	PUNCT
fcis-20343	39	1	in	in	ADP
fcis-20343	39	2	contrast	contrast	NOUN
fcis-20343	39	3	,	,	PUNCT
fcis-20343	39	4	the	the	DET
fcis-20343	39	5	two	two	NUM
fcis-20343	39	6	-	-	PUNCT
fcis-20343	39	7	stage	stage	NOUN
fcis-20343	39	8	object	object	NOUN
fcis-20343	39	9	detection	detection	NOUN
fcis-20343	39	10	algorithm	algorithm	NOUN
fcis-20343	39	11	first	first	ADV
fcis-20343	39	12	generates	generate	VERB
fcis-20343	39	13	the	the	DET
fcis-20343	39	14	region	region	NOUN
fcis-20343	39	15	,	,	PUNCT
fcis-20343	39	16	and	and	CCONJ
fcis-20343	39	17	then	then	ADV
fcis-20343	39	18	classifies	classify	VERB
fcis-20343	39	19	the	the	DET
fcis-20343	39	20	samples	sample	NOUN
fcis-20343	39	21	through	through	ADP
fcis-20343	39	22	the	the	DET
fcis-20343	39	23	convolutional	convolutional	ADJ
fcis-20343	39	24	neural	neural	ADJ
fcis-20343	39	25	network	network	NOUN
fcis-20343	39	26	.	.	PUNCT
fcis-20343	40	1	common	common	ADJ
fcis-20343	40	2	two	two	NUM
fcis-20343	40	3	-	-	PUNCT
fcis-20343	40	4	stage	stage	NOUN
fcis-20343	40	5	object	object	NOUN
fcis-20343	40	6	detection	detection	NOUN
fcis-20343	40	7	methods	method	NOUN
fcis-20343	40	8	include	include	VERB
fcis-20343	40	9	r	r	NOUN
fcis-20343	40	10	-	-	PUNCT
fcis-20343	40	11	cnn[19	cnn[19	NOUN
fcis-20343	40	12	]	]	PUNCT
fcis-20343	40	13	,	,	PUNCT
fcis-20343	40	14	spp	spp	NOUN
fcis-20343	40	15	-	-	PUNCT
fcis-20343	40	16	net[20	net[20	NOUN
fcis-20343	40	17	]	]	PUNCT
fcis-20343	40	18	,	,	PUNCT
fcis-20343	40	19	fast	fast	ADJ
fcis-20343	40	20	r	r	NOUN
fcis-20343	40	21	-	-	PUNCT
fcis-20343	40	22	cnn[21	cnn[21	NOUN
fcis-20343	40	23	]	]	PUNCT
fcis-20343	40	24	,	,	PUNCT
fcis-20343	40	25	faster	fast	ADV
fcis-20343	40	26	r	r	NOUN
fcis-20343	40	27	-	-	NOUN
fcis-20343	40	28	cnn[22	cnn[22	NOUN
fcis-20343	40	29	]	]	PUNCT
fcis-20343	40	30	and	and	CCONJ
fcis-20343	40	31	r	r	NOUN
fcis-20343	40	32	-	-	PUNCT
fcis-20343	40	33	fcn[23	fcn[23	ADJ
fcis-20343	40	34	]	]	PUNCT
fcis-20343	40	35	,	,	PUNCT
fcis-20343	40	36	etc.double	etc.double	ADJ
fcis-20343	40	37	stage	stage	NOUN
fcis-20343	40	38	target	target	NOUN
fcis-20343	40	39	detection	detection	NOUN
fcis-20343	40	40	algorithm	algorithm	NOUN
fcis-20343	40	41	unique	unique	ADJ
fcis-20343	40	42	architecture	architecture	NOUN
fcis-20343	40	43	makes	make	VERB
fcis-20343	40	44	algorithm	algorithm	NOUN
fcis-20343	40	45	has	have	VERB
fcis-20343	40	46	high	high	ADJ
fcis-20343	40	47	detection	detection	NOUN
fcis-20343	40	48	accuracy	accuracy	NOUN
fcis-20343	40	49	,	,	PUNCT
fcis-20343	40	50	and	and	CCONJ
fcis-20343	40	51	for	for	ADP
fcis-20343	40	52	small	small	ADJ
fcis-20343	40	53	target	target	NOUN
fcis-20343	40	54	detection	detection	NOUN
fcis-20343	40	55	effect	effect	NOUN
fcis-20343	40	56	is	be	AUX
fcis-20343	40	57	relatively	relatively	ADV
fcis-20343	40	58	better	well	ADJ
fcis-20343	40	59	,	,	PUNCT
fcis-20343	40	60	but	but	CCONJ
fcis-20343	40	61	the	the	DET
fcis-20343	40	62	detection	detection	NOUN
fcis-20343	40	63	speed	speed	NOUN
fcis-20343	40	64	is	be	AUX
fcis-20343	40	65	slow	slow	ADJ
fcis-20343	40	66	,	,	PUNCT
fcis-20343	40	67	can	can	AUX
fcis-20343	40	68	not	not	PART
fcis-20343	40	69	satisfy	satisfy	VERB
fcis-20343	40	70	the	the	DET
fcis-20343	40	71	needs	need	NOUN
fcis-20343	40	72	of	of	ADP
fcis-20343	40	73	real	real	ADJ
fcis-20343	40	74	-	-	PUNCT
fcis-20343	40	75	time	time	NOUN
fcis-20343	40	76	detection	detection	NOUN
fcis-20343	40	77	.	.	PUNCT
fcis-20343	41	1	at	at	ADP
fcis-20343	41	2	present	present	ADJ
fcis-20343	41	3	,	,	PUNCT
fcis-20343	41	4	in	in	ADP
fcis-20343	41	5	order	order	NOUN
fcis-20343	41	6	to	to	PART
fcis-20343	41	7	meet	meet	VERB
fcis-20343	41	8	the	the	DET
fcis-20343	41	9	detection	detection	NOUN
fcis-20343	41	10	speed	speed	NOUN
fcis-20343	41	11	requirements	requirement	NOUN
fcis-20343	41	12	of	of	ADP
fcis-20343	41	13	uav	uav	PROPN
fcis-20343	41	14	aerial	aerial	ADJ
fcis-20343	41	15	images	image	NOUN
fcis-20343	41	16	in	in	ADP
fcis-20343	41	17	practical	practical	ADJ
fcis-20343	41	18	use	use	NOUN
fcis-20343	41	19	,	,	PUNCT
fcis-20343	41	20	many	many	ADJ
fcis-20343	41	21	researchers	researcher	NOUN
fcis-20343	41	22	choose	choose	VERB
fcis-20343	41	23	the	the	DET
fcis-20343	41	24	yolo	yolo	ADJ
fcis-20343	41	25	series	series	NOUN
fcis-20343	41	26	of	of	ADP
fcis-20343	41	27	single	single	ADJ
fcis-20343	41	28	-	-	PUNCT
fcis-20343	41	29	stage	stage	NOUN
fcis-20343	41	30	detection	detection	NOUN
fcis-20343	41	31	algorithm	algorithm	NOUN
fcis-20343	41	32	as	as	ADP
fcis-20343	41	33	the	the	DET
fcis-20343	41	34	research	research	NOUN
fcis-20343	41	35	object	object	NOUN
fcis-20343	41	36	to	to	PART
fcis-20343	41	37	study	study	VERB
fcis-20343	41	38	the	the	DET
fcis-20343	41	39	target	target	NOUN
fcis-20343	41	40	detection	detection	NOUN
fcis-20343	41	41	in	in	ADP
fcis-20343	41	42	uav	uav	PROPN
fcis-20343	41	43	aerial	aerial	ADJ
fcis-20343	41	44	images	image	NOUN
fcis-20343	41	45	[	[	X
fcis-20343	41	46	24].for	24].for	NUM
fcis-20343	41	47	example	example	NOUN
fcis-20343	41	48	,	,	PUNCT
fcis-20343	41	49	liu	liu	PROPN
fcis-20343	41	50	et	et	PROPN
fcis-20343	41	51	al	al	PROPN
fcis-20343	41	52	.	.	PUNCT
fcis-20343	42	1	[	[	X
fcis-20343	42	2	25	25	NUM
fcis-20343	42	3	]	]	PUNCT
fcis-20343	42	4	proposed	propose	VERB
fcis-20343	42	5	the	the	DET
fcis-20343	42	6	yolov3_resam	yolov3_resam	PROPN
fcis-20343	42	7	algorithm	algorithm	NOUN
fcis-20343	42	8	based	base	VERB
fcis-20343	42	9	on	on	ADP
fcis-20343	42	10	the	the	DET
fcis-20343	42	11	yolov3	yolov3	PROPN
fcis-20343	42	12	-	-	PUNCT
fcis-20343	42	13	tiny	tiny	ADJ
fcis-20343	42	14	backbone	backbone	NOUN
fcis-20343	42	15	network	network	NOUN
fcis-20343	42	16	to	to	PART
fcis-20343	42	17	solve	solve	VERB
fcis-20343	42	18	the	the	DET
fcis-20343	42	19	problem	problem	NOUN
fcis-20343	42	20	of	of	ADP
fcis-20343	42	21	difficult	difficult	ADJ
fcis-20343	42	22	target	target	NOUN
fcis-20343	42	23	detection	detection	NOUN
fcis-20343	42	24	caused	cause	VERB
fcis-20343	42	25	by	by	ADP
fcis-20343	42	26	small	small	ADJ
fcis-20343	42	27	target	target	NOUN
fcis-20343	42	28	size	size	NOUN
fcis-20343	42	29	and	and	CCONJ
fcis-20343	42	30	fuzzy	fuzzy	ADJ
fcis-20343	42	31	appearance	appearance	NOUN
fcis-20343	42	32	in	in	ADP
fcis-20343	42	33	long	long	ADJ
fcis-20343	42	34	-	-	PUNCT
fcis-20343	42	35	distance	distance	NOUN
fcis-20343	42	36	aerial	aerial	ADJ
fcis-20343	42	37	photography	photography	NOUN
fcis-20343	42	38	,	,	PUNCT
fcis-20343	42	39	and	and	CCONJ
fcis-20343	42	40	used	use	VERB
fcis-20343	42	41	the	the	DET
fcis-20343	42	42	pyramid	pyramid	NOUN
fcis-20343	42	43	structure	structure	NOUN
fcis-20343	42	44	of	of	ADP
fcis-20343	42	45	image	image	NOUN
fcis-20343	42	46	features	feature	VERB
fcis-20343	42	47	to	to	PART
fcis-20343	42	48	achieve	achieve	VERB
fcis-20343	42	49	multi	multi	ADJ
fcis-20343	42	50	-	-	ADJ
fcis-20343	42	51	level	level	ADJ
fcis-20343	42	52	feature	feature	NOUN
fcis-20343	42	53	fusion	fusion	NOUN
fcis-20343	42	54	prediction	prediction	NOUN
fcis-20343	42	55	.	.	PUNCT
fcis-20343	43	1	at	at	ADP
fcis-20343	43	2	the	the	DET
fcis-20343	43	3	same	same	ADJ
fcis-20343	43	4	time	time	NOUN
fcis-20343	43	5	,	,	PUNCT
fcis-20343	43	6	in	in	ADP
fcis-20343	43	7	order	order	NOUN
fcis-20343	43	8	to	to	PART
fcis-20343	43	9	solve	solve	VERB
fcis-20343	43	10	the	the	DET
fcis-20343	43	11	information	information	NOUN
fcis-20343	43	12	loss	loss	NOUN
fcis-20343	43	13	caused	cause	VERB
fcis-20343	43	14	by	by	ADP
fcis-20343	43	15	the	the	DET
fcis-20343	43	16	network	network	NOUN
fcis-20343	43	17	convolution	convolution	NOUN
fcis-20343	43	18	process	process	NOUN
fcis-20343	43	19	,	,	PUNCT
fcis-20343	43	20	a	a	DET
fcis-20343	43	21	spatial	spatial	ADJ
fcis-20343	43	22	attention	attention	NOUN
fcis-20343	43	23	mechanism	mechanism	NOUN
fcis-20343	43	24	based	base	VERB
fcis-20343	43	25	on	on	ADP
fcis-20343	43	26	residual	residual	ADJ
fcis-20343	43	27	structure	structure	NOUN
fcis-20343	43	28	is	be	AUX
fcis-20343	43	29	proposed	propose	VERB
fcis-20343	43	30	,	,	PUNCT
fcis-20343	43	31	and	and	CCONJ
fcis-20343	43	32	the	the	DET
fcis-20343	43	33	idea	idea	NOUN
fcis-20343	43	34	of	of	ADP
fcis-20343	43	35	reinforcement	reinforcement	NOUN
fcis-20343	43	36	learning	learning	NOUN
fcis-20343	43	37	is	be	AUX
fcis-20343	43	38	introduced	introduce	VERB
fcis-20343	43	39	to	to	PART
fcis-20343	43	40	guide	guide	VERB
fcis-20343	43	41	boundary	boundary	ADJ
fcis-20343	43	42	regression	regression	NOUN
fcis-20343	43	43	.	.	PUNCT
fcis-20343	44	1	tan[26	tan[26	X
fcis-20343	44	2	]	]	X
fcis-20343	44	3	et	et	PROPN
fcis-20343	44	4	al	al	PROPN
fcis-20343	44	5	,	,	PUNCT
fcis-20343	44	6	aiming	aim	VERB
fcis-20343	44	7	at	at	ADP
fcis-20343	44	8	the	the	DET
fcis-20343	44	9	problem	problem	NOUN
fcis-20343	44	10	of	of	ADP
fcis-20343	44	11	difficult	difficult	ADJ
fcis-20343	44	12	target	target	NOUN
fcis-20343	44	13	detection	detection	NOUN
fcis-20343	44	14	in	in	ADP
fcis-20343	44	15	uav	uav	PROPN
fcis-20343	44	16	aerial	aerial	ADJ
fcis-20343	44	17	images	image	NOUN
fcis-20343	44	18	,	,	PUNCT
fcis-20343	44	19	proposed	propose	VERB
fcis-20343	44	20	a	a	DET
fcis-20343	44	21	yolov4_drone	yolov4_drone	PROPN
fcis-20343	44	22	target	target	NOUN
fcis-20343	44	23	detection	detection	NOUN
fcis-20343	44	24	model	model	NOUN
fcis-20343	44	25	based	base	VERB
fcis-20343	44	26	on	on	ADP
fcis-20343	44	27	yolov4	yolov4	PROPN
fcis-20343	44	28	algorithm	algorithm	PROPN
fcis-20343	44	29	.	.	PUNCT
fcis-20343	45	1	in	in	ADP
fcis-20343	45	2	this	this	DET
fcis-20343	45	3	model	model	NOUN
fcis-20343	45	4	,	,	PUNCT
fcis-20343	45	5	void	void	ADJ
fcis-20343	45	6	convolution	convolution	NOUN
fcis-20343	45	7	was	be	AUX
fcis-20343	45	8	used	use	VERB
fcis-20343	45	9	to	to	PART
fcis-20343	45	10	resample	resample	VERB
fcis-20343	45	11	feature	feature	NOUN
fcis-20343	45	12	images	image	NOUN
fcis-20343	45	13	,	,	PUNCT
fcis-20343	45	14	and	and	CCONJ
fcis-20343	45	15	spatial	spatial	ADJ
fcis-20343	45	16	attention	attention	NOUN
fcis-20343	45	17	mechanism	mechanism	NOUN
fcis-20343	45	18	ulsam	ulsam	NOUN
fcis-20343	45	19	was	be	AUX
fcis-20343	45	20	used	use	VERB
fcis-20343	45	21	to	to	PART
fcis-20343	45	22	derive	derive	VERB
fcis-20343	45	23	feature	feature	NOUN
fcis-20343	45	24	maps	map	NOUN
fcis-20343	45	25	to	to	PART
fcis-20343	45	26	realize	realize	VERB
fcis-20343	45	27	multi	multi	ADJ
fcis-20343	45	28	-	-	ADJ
fcis-20343	45	29	scale	scale	ADJ
fcis-20343	45	30	representation	representation	NOUN
fcis-20343	45	31	of	of	ADP
fcis-20343	45	32	feature	feature	NOUN
fcis-20343	45	33	maps	map	NOUN
fcis-20343	45	34	.	.	PUNCT
fcis-20343	46	1	non	non	ADJ
fcis-20343	46	2	-	-	ADJ
fcis-20343	46	3	maximal	maximal	ADJ
fcis-20343	46	4	suppression	suppression	NOUN
fcis-20343	46	5	(	(	PUNCT
fcis-20343	46	6	soft	soft	ADJ
fcis-20343	46	7	-	-	PUNCT
fcis-20343	46	8	nms	nms	NOUN
fcis-20343	46	9	)	)	PUNCT
fcis-20343	46	10	was	be	AUX
fcis-20343	46	11	introduced	introduce	VERB
fcis-20343	46	12	to	to	PART
fcis-20343	46	13	reduce	reduce	VERB
fcis-20343	46	14	the	the	DET
fcis-20343	46	15	false	false	ADJ
fcis-20343	46	16	detection	detection	NOUN
fcis-20343	46	17	caused	cause	VERB
fcis-20343	46	18	by	by	ADP
fcis-20343	46	19	target	target	NOUN
fcis-20343	46	20	occlusion	occlusion	NOUN
fcis-20343	46	21	.	.	PUNCT
fcis-20343	47	1	liu[27	liu[27	PUNCT
fcis-20343	47	2	]	]	PUNCT
fcis-20343	47	3	et	et	PROPN
fcis-20343	47	4	al	al	PROPN
fcis-20343	47	5	.	.	PROPN
fcis-20343	47	6	designed	design	VERB
fcis-20343	47	7	a	a	DET
fcis-20343	47	8	gbs	gbs	PROPN
fcis-20343	47	9	-	-	PUNCT
fcis-20343	47	10	yolov5	yolov5	NOUN
fcis-20343	47	11	algorithm	algorithm	NOUN
fcis-20343	47	12	suitable	suitable	ADJ
fcis-20343	47	13	for	for	SCONJ
fcis-20343	47	14	uav	uav	PROPN
fcis-20343	47	15	detection	detection	NOUN
fcis-20343	47	16	to	to	PART
fcis-20343	47	17	solve	solve	VERB
fcis-20343	47	18	the	the	DET
fcis-20343	47	19	problem	problem	NOUN
fcis-20343	47	20	of	of	ADP
fcis-20343	47	21	low	low	ADJ
fcis-20343	47	22	accuracy	accuracy	NOUN
fcis-20343	47	23	of	of	ADP
fcis-20343	47	24	uav	uav	PROPN
fcis-20343	47	25	detection	detection	NOUN
fcis-20343	47	26	of	of	ADP
fcis-20343	47	27	small	small	ADJ
fcis-20343	47	28	targets	target	NOUN
fcis-20343	47	29	.	.	PUNCT
fcis-20343	48	1	this	this	DET
fcis-20343	48	2	algorithm	algorithm	NOUN
fcis-20343	48	3	is	be	AUX
fcis-20343	48	4	based	base	VERB
fcis-20343	48	5	on	on	ADP
fcis-20343	48	6	the	the	DET
fcis-20343	48	7	yolov5	yolov5	NOUN
fcis-20343	48	8	detection	detection	NOUN
fcis-20343	48	9	model	model	NOUN
fcis-20343	48	10	and	and	CCONJ
fcis-20343	48	11	uses	use	VERB
fcis-20343	48	12	efficient	efficient	ADJ
fcis-20343	48	13	spatio	spatio	PROPN
fcis-20343	48	14	-	-	PUNCT
fcis-20343	48	15	temporal	temporal	ADJ
fcis-20343	48	16	interaction	interaction	NOUN
fcis-20343	48	17	modules	module	NOUN
fcis-20343	48	18	to	to	PART
fcis-20343	48	19	replace	replace	VERB
fcis-20343	48	20	the	the	DET
fcis-20343	48	21	residual	residual	ADJ
fcis-20343	48	22	network	network	NOUN
fcis-20343	48	23	structure	structure	NOUN
fcis-20343	48	24	in	in	ADP
fcis-20343	48	25	the	the	DET
fcis-20343	48	26	original	original	ADJ
fcis-20343	48	27	network	network	NOUN
fcis-20343	48	28	.	.	PUNCT
fcis-20343	49	1	the	the	DET
fcis-20343	49	2	spatial	spatial	ADJ
fcis-20343	49	3	pyramid	pyramid	NOUN
fcis-20343	49	4	convolution	convolution	NOUN
fcis-20343	49	5	module	module	NOUN
fcis-20343	49	6	was	be	AUX
fcis-20343	49	7	added	add	VERB
fcis-20343	49	8	to	to	PART
fcis-20343	49	9	enable	enable	VERB
fcis-20343	49	10	the	the	DET
fcis-20343	49	11	network	network	NOUN
fcis-20343	49	12	to	to	PART
fcis-20343	49	13	extract	extract	VERB
fcis-20343	49	14	more	more	ADJ
fcis-20343	49	15	small	small	ADJ
fcis-20343	49	16	target	target	NOUN
fcis-20343	49	17	feature	feature	NOUN
fcis-20343	49	18	information	information	NOUN
fcis-20343	49	19	.	.	PUNCT
fcis-20343	50	1	in	in	ADP
fcis-20343	50	2	order	order	NOUN
fcis-20343	50	3	to	to	PART
fcis-20343	50	4	better	well	ADV
fcis-20343	50	5	interact	interact	VERB
fcis-20343	50	6	with	with	ADP
fcis-20343	50	7	high	high	ADJ
fcis-20343	50	8	-	-	PUNCT
fcis-20343	50	9	order	order	NOUN
fcis-20343	50	10	spatial	spatial	ADJ
fcis-20343	50	11	semantic	semantic	ADJ
fcis-20343	50	12	information	information	NOUN
fcis-20343	50	13	,	,	PUNCT
fcis-20343	50	14	recursive	recursive	ADJ
fcis-20343	50	15	gated	gate	VERB
fcis-20343	50	16	convolution	convolution	NOUN
fcis-20343	50	17	was	be	AUX
fcis-20343	50	18	introduced	introduce	VERB
fcis-20343	50	19	into	into	ADP
fcis-20343	50	20	the	the	DET
fcis-20343	50	21	feature	feature	NOUN
fcis-20343	50	22	fusion	fusion	NOUN
fcis-20343	50	23	module	module	NOUN
fcis-20343	50	24	.	.	PUNCT
fcis-20343	50	25	aiming	aim	VERB
fcis-20343	50	26	at	at	ADP
fcis-20343	50	27	the	the	DET
fcis-20343	50	28	problem	problem	NOUN
fcis-20343	50	29	of	of	ADP
fcis-20343	50	30	limited	limited	ADJ
fcis-20343	50	31	onboard	onboard	NOUN
fcis-20343	50	32	computing	compute	VERB
fcis-20343	50	33	resources	resource	NOUN
fcis-20343	50	34	of	of	ADP
fcis-20343	50	35	uavs	uavs	PROPN
fcis-20343	50	36	,	,	PUNCT
fcis-20343	50	37	li	li	PROPN
fcis-20343	50	38	et	et	PROPN
fcis-20343	50	39	al	al	PROPN
fcis-20343	50	40	.	.	PUNCT
fcis-20343	51	1	[	[	X
fcis-20343	51	2	28	28	NUM
fcis-20343	51	3	]	]	PUNCT
fcis-20343	51	4	based	base	VERB
fcis-20343	51	5	on	on	ADP
fcis-20343	51	6	yolov5	yolov5	NOUN
fcis-20343	51	7	algorithm	algorithm	PROPN
fcis-20343	51	8	,	,	PUNCT
fcis-20343	51	9	studied	study	VERB
fcis-20343	51	10	the	the	DET
fcis-20343	51	11	detection	detection	NOUN
fcis-20343	51	12	accuracy	accuracy	NOUN
fcis-20343	51	13	of	of	ADP
fcis-20343	51	14	aerial	aerial	ADJ
fcis-20343	51	15	images	image	NOUN
fcis-20343	51	16	and	and	CCONJ
fcis-20343	51	17	the	the	DET
fcis-20343	51	18	computational	computational	ADJ
fcis-20343	51	19	cost	cost	NOUN
fcis-20343	51	20	of	of	ADP
fcis-20343	51	21	the	the	DET
fcis-20343	51	22	algorithm	algorithm	NOUN
fcis-20343	51	23	,	,	PUNCT
fcis-20343	51	24	reduced	reduce	VERB
fcis-20343	51	25	the	the	DET
fcis-20343	51	26	computational	computational	ADJ
fcis-20343	51	27	cost	cost	NOUN
fcis-20343	51	28	by	by	ADP
fcis-20343	51	29	replacing	replace	VERB
fcis-20343	51	30	the	the	DET
fcis-20343	51	31	convolution	convolution	NOUN
fcis-20343	51	32	operation	operation	NOUN
fcis-20343	51	33	with	with	ADP
fcis-20343	51	34	linear	linear	PROPN
fcis-20343	51	35	transformation	transformation	NOUN
fcis-20343	51	36	,	,	PUNCT
fcis-20343	51	37	and	and	CCONJ
fcis-20343	51	38	introduced	introduce	VERB
fcis-20343	51	39	a	a	DET
fcis-20343	51	40	transformer	transformer	NOUN
fcis-20343	51	41	to	to	PART
fcis-20343	51	42	enhance	enhance	VERB
fcis-20343	51	43	the	the	DET
fcis-20343	51	44	feature	feature	NOUN
fcis-20343	51	45	extraction	extraction	NOUN
fcis-20343	51	46	of	of	ADP
fcis-20343	51	47	images	image	NOUN
fcis-20343	51	48	,	,	PUNCT
fcis-20343	51	49	and	and	CCONJ
fcis-20343	51	50	proposed	propose	VERB
fcis-20343	51	51	a	a	DET
fcis-20343	51	52	ggt	ggt	NOUN
fcis-20343	51	53	-	-	PUNCT
fcis-20343	51	54	yolo	yolo	ADJ
fcis-20343	51	55	algorithm	algorithm	NOUN
fcis-20343	51	56	.	.	PUNCT
fcis-20343	52	1	aiming	aim	VERB
fcis-20343	52	2	at	at	ADP
fcis-20343	52	3	the	the	DET
fcis-20343	52	4	problem	problem	NOUN
fcis-20343	52	5	of	of	ADP
fcis-20343	52	6	large	large	ADJ
fcis-20343	52	7	number	number	NOUN
fcis-20343	52	8	of	of	ADP
fcis-20343	52	9	targets	target	NOUN
fcis-20343	52	10	and	and	CCONJ
fcis-20343	52	11	high	high	ADJ
fcis-20343	52	12	proportion	proportion	NOUN
fcis-20343	52	13	of	of	ADP
fcis-20343	52	14	small	small	ADJ
fcis-20343	52	15	targets	target	NOUN
fcis-20343	52	16	in	in	ADP
fcis-20343	52	17	aerial	aerial	ADJ
fcis-20343	52	18	images	image	NOUN
fcis-20343	52	19	,	,	PUNCT
fcis-20343	52	20	zhao	zhao	PROPN
fcis-20343	52	21	et	et	PROPN
fcis-20343	52	22	al	al	PROPN
fcis-20343	52	23	.	.	PUNCT
fcis-20343	53	1	[	[	X
fcis-20343	53	2	29	29	NUM
fcis-20343	53	3	]	]	PUNCT
fcis-20343	53	4	carried	carry	VERB
fcis-20343	53	5	out	out	ADP
fcis-20343	53	6	relevant	relevant	ADJ
fcis-20343	53	7	research	research	NOUN
fcis-20343	53	8	based	base	VERB
fcis-20343	53	9	on	on	ADP
fcis-20343	53	10	yolov7	yolov7	PROPN
fcis-20343	53	11	network	network	NOUN
fcis-20343	53	12	,	,	PUNCT
fcis-20343	53	13	and	and	CCONJ
fcis-20343	53	14	proposed	propose	VERB
fcis-20343	53	15	a	a	DET
fcis-20343	53	16	multi	multi	ADJ
fcis-20343	53	17	-	-	ADJ
fcis-20343	53	18	scale	scale	ADJ
fcis-20343	53	19	uav	uav	PROPN
fcis-20343	53	20	aerial	aerial	ADJ
fcis-20343	53	21	image	image	NOUN
fcis-20343	53	22	target	target	NOUN
fcis-20343	53	23	detection	detection	NOUN
fcis-20343	53	24	model	model	NOUN
fcis-20343	53	25	ms	ms	NOUN
fcis-20343	53	26	-	-	PUNCT
fcis-20343	53	27	yolov7	yolov7	NOUN
fcis-20343	53	28	by	by	ADP
fcis-20343	53	29	using	use	VERB
fcis-20343	53	30	multiple	multiple	ADJ
fcis-20343	53	31	detection	detection	NOUN
fcis-20343	53	32	heads	head	NOUN
fcis-20343	53	33	and	and	CCONJ
fcis-20343	53	34	cbam	cbam	NOUN
fcis-20343	53	35	attention	attention	NOUN
fcis-20343	53	36	mechanism	mechanism	NOUN
fcis-20343	53	37	.	.	PUNCT
fcis-20343	54	1	and	and	CCONJ
fcis-20343	54	2	achieved	achieve	VERB
fcis-20343	54	3	good	good	ADJ
fcis-20343	54	4	results	result	NOUN
fcis-20343	54	5	and	and	CCONJ
fcis-20343	54	6	verify	verify	VERB
fcis-20343	54	7	the	the	DET
fcis-20343	54	8	applicability	applicability	NOUN
fcis-20343	54	9	of	of	ADP
fcis-20343	54	10	the	the	DET
fcis-20343	54	11	proposed	propose	VERB
fcis-20343	54	12	algorithm	algorithm	NOUN
fcis-20343	54	13	;	;	PUNCT
fcis-20343	54	14	zeng[30	zeng[30	PROPN
fcis-20343	54	15	]	]	PUNCT
fcis-20343	54	16	et	et	PROPN
fcis-20343	54	17	al	al	PROPN
fcis-20343	54	18	.	.	PROPN
fcis-20343	54	19	improved	improve	VERB
fcis-20343	54	20	the	the	DET
fcis-20343	54	21	yolov7	yolov7	NOUN
fcis-20343	54	22	algorithm	algorithm	NOUN
fcis-20343	54	23	by	by	ADP
fcis-20343	54	24	removing	remove	VERB
fcis-20343	54	25	the	the	DET
fcis-20343	54	26	second	second	ADJ
fcis-20343	54	27	down	down	ADV
fcis-20343	54	28	-	-	PUNCT
fcis-20343	54	29	sampling	sample	VERB
fcis-20343	54	30	layer	layer	NOUN
fcis-20343	54	31	and	and	CCONJ
fcis-20343	54	32	the	the	DET
fcis-20343	54	33	deep	deep	ADJ
fcis-20343	54	34	detection	detection	NOUN
fcis-20343	54	35	head	head	NOUN
fcis-20343	54	36	,	,	PUNCT
fcis-20343	54	37	introducing	introduce	VERB
fcis-20343	54	38	the	the	DET
fcis-20343	54	39	dpsppf	dpsppf	NOUN
fcis-20343	54	40	module	module	NOUN
fcis-20343	54	41	and	and	CCONJ
fcis-20343	54	42	adding	add	VERB
fcis-20343	54	43	the	the	DET
fcis-20343	54	44	nwd	nwd	PROPN
fcis-20343	54	45	measurement	measurement	NOUN
fcis-20343	54	46	method	method	NOUN
fcis-20343	54	47	to	to	ADP
fcis-20343	54	48	the	the	DET
fcis-20343	54	49	indicators	indicator	NOUN
fcis-20343	54	50	of	of	ADP
fcis-20343	54	51	positive	positive	ADJ
fcis-20343	54	52	and	and	CCONJ
fcis-20343	54	53	negative	negative	ADJ
fcis-20343	54	54	sample	sample	NOUN
fcis-20343	54	55	allocation	allocation	NOUN
fcis-20343	54	56	,	,	PUNCT
fcis-20343	54	57	and	and	CCONJ
fcis-20343	54	58	proposed	propose	VERB
fcis-20343	54	59	a	a	DET
fcis-20343	54	60	realtime	realtime	ADJ
fcis-20343	54	61	small	small	ADJ
fcis-20343	54	62	target	target	NOUN
fcis-20343	54	63	detection	detection	NOUN
fcis-20343	54	64	algorithm	algorithm	NOUN
fcis-20343	54	65	yolov7-uav.aiming	yolov7-uav.aime	VERB
fcis-20343	54	66	at	at	ADP
fcis-20343	54	67	the	the	DET
fcis-20343	54	68	current	current	ADJ
fcis-20343	54	69	challenges	challenge	NOUN
fcis-20343	54	70	in	in	ADP
fcis-20343	54	71	the	the	DET
fcis-20343	54	72	field	field	NOUN
fcis-20343	54	73	of	of	ADP
fcis-20343	54	74	uav	uav	PROPN
fcis-20343	54	75	target	target	PROPN
fcis-20343	54	76	detection	detection	NOUN
fcis-20343	54	77	,	,	PUNCT
fcis-20343	54	78	li[31]et	li[31]et	PROPN
fcis-20343	54	79	al	al	PROPN
fcis-20343	54	80	.	.	PROPN
fcis-20343	54	81	proposed	propose	VERB
fcis-20343	54	82	an	an	DET
fcis-20343	54	83	aerial	aerial	ADJ
fcis-20343	54	84	image	image	NOUN
fcis-20343	54	85	detection	detection	NOUN
fcis-20343	54	86	model	model	NOUN
fcis-20343	54	87	with	with	ADP
fcis-20343	54	88	excellent	excellent	ADJ
fcis-20343	54	89	performance	performance	NOUN
fcis-20343	54	90	based	base	VERB
fcis-20343	54	91	on	on	ADP
fcis-20343	54	92	yolov8	yolov8	PROPN
fcis-20343	54	93	algorithm	algorithm	PROPN
fcis-20343	54	94	.	.	PUNCT
fcis-20343	55	1	the	the	DET
fcis-20343	55	2	model	model	NOUN
fcis-20343	55	3	introduced	introduce	VERB
fcis-20343	55	4	the	the	DET
fcis-20343	55	5	idea	idea	NOUN
fcis-20343	55	6	of	of	ADP
fcis-20343	55	7	bi	bi	ADJ
fcis-20343	55	8	-	-	ADJ
fcis-20343	55	9	pan	pan	NOUN
fcis-20343	55	10	-	-	ADJ
fcis-20343	55	11	fpn	fpn	ADJ
fcis-20343	55	12	to	to	PART
fcis-20343	55	13	improve	improve	VERB
fcis-20343	55	14	the	the	DET
fcis-20343	55	15	neck	neck	NOUN
fcis-20343	55	16	part	part	NOUN
fcis-20343	55	17	of	of	ADP
fcis-20343	55	18	the	the	DET
fcis-20343	55	19	original	original	ADJ
fcis-20343	55	20	network	network	NOUN
fcis-20343	55	21	,	,	PUNCT
fcis-20343	55	22	so	so	SCONJ
fcis-20343	55	23	that	that	SCONJ
fcis-20343	55	24	the	the	DET
fcis-20343	55	25	network	network	NOUN
fcis-20343	55	26	could	could	AUX
fcis-20343	55	27	consider	consider	VERB
fcis-20343	55	28	and	and	CCONJ
fcis-20343	55	29	reuse	reuse	VERB
fcis-20343	55	30	multi	multi	ADJ
fcis-20343	55	31	-	-	ADJ
fcis-20343	55	32	scale	scale	ADJ
fcis-20343	55	33	features	feature	NOUN
fcis-20343	55	34	.	.	PUNCT
fcis-20343	56	1	in	in	ADP
fcis-20343	56	2	the	the	DET
fcis-20343	56	3	backbone	backbone	NOUN
fcis-20343	56	4	network	network	NOUN
fcis-20343	56	5	part	part	NOUN
fcis-20343	56	6	,	,	PUNCT
fcis-20343	56	7	the	the	DET
fcis-20343	56	8	ghostblockv2	ghostblockv2	PROPN
fcis-20343	56	9	structure	structure	NOUN
fcis-20343	56	10	was	be	AUX
fcis-20343	56	11	used	use	VERB
fcis-20343	56	12	to	to	PART
fcis-20343	56	13	replace	replace	VERB
fcis-20343	56	14	the	the	DET
fcis-20343	56	15	c2f	c2f	NOUN
fcis-20343	56	16	module	module	NOUN
fcis-20343	56	17	in	in	ADP
fcis-20343	56	18	the	the	DET
fcis-20343	56	19	original	original	ADJ
fcis-20343	56	20	network	network	NOUN
fcis-20343	56	21	to	to	PART
fcis-20343	56	22	achieve	achieve	VERB
fcis-20343	56	23	the	the	DET
fcis-20343	56	24	purpose	purpose	NOUN
fcis-20343	56	25	of	of	ADP
fcis-20343	56	26	reducing	reduce	VERB
fcis-20343	56	27	the	the	DET
fcis-20343	56	28	number	number	NOUN
fcis-20343	56	29	of	of	ADP
fcis-20343	56	30	model	model	NOUN
fcis-20343	56	31	parameters	parameter	NOUN
fcis-20343	56	32	,	,	PUNCT
fcis-20343	56	33	and	and	CCONJ
fcis-20343	56	34	the	the	DET
fcis-20343	56	35	wiseiou	wiseiou	NOUN
fcis-20343	56	36	loss	loss	NOUN
fcis-20343	56	37	was	be	AUX
fcis-20343	56	38	used	use	VERB
fcis-20343	56	39	as	as	ADP
fcis-20343	56	40	the	the	DET
fcis-20343	56	41	boundary	boundary	ADJ
fcis-20343	56	42	regression	regression	NOUN
fcis-20343	56	43	loss	loss	NOUN
fcis-20343	56	44	to	to	PART
fcis-20343	56	45	improve	improve	VERB
fcis-20343	56	46	the	the	DET
fcis-20343	56	47	overall	overall	ADJ
fcis-20343	56	48	detection	detection	NOUN
fcis-20343	56	49	performance	performance	NOUN
fcis-20343	56	50	of	of	ADP
fcis-20343	56	51	the	the	DET
fcis-20343	56	52	model	model	NOUN
fcis-20343	56	53	.	.	PUNCT
fcis-20343	57	1	inspired	inspire	VERB
fcis-20343	57	2	by	by	ADP
fcis-20343	57	3	the	the	DET
fcis-20343	57	4	above	above	ADJ
fcis-20343	57	5	articles	article	NOUN
fcis-20343	57	6	and	and	CCONJ
fcis-20343	57	7	related	related	ADJ
fcis-20343	57	8	research	research	NOUN
fcis-20343	57	9	results	result	NOUN
fcis-20343	57	10	,	,	PUNCT
fcis-20343	57	11	this	this	DET
fcis-20343	57	12	paper	paper	NOUN
fcis-20343	57	13	selects	select	VERB
fcis-20343	57	14	the	the	DET
fcis-20343	57	15	yolov7	yolov7	ADV
fcis-20343	57	16	-	-	PUNCT
fcis-20343	57	17	tiny	tiny	ADJ
fcis-20343	57	18	detection	detection	NOUN
fcis-20343	57	19	model	model	NOUN
fcis-20343	57	20	suitable	suitable	ADJ
fcis-20343	57	21	for	for	ADP
fcis-20343	57	22	edge	edge	NOUN
fcis-20343	57	23	computing	computing	NOUN
fcis-20343	57	24	platform	platform	NOUN
fcis-20343	57	25	in	in	ADP
fcis-20343	57	26	yolov7	yolov7	PROPN
fcis-20343	57	27	algorithm	algorithm	PROPN
fcis-20343	57	28	to	to	PART
fcis-20343	57	29	improve	improve	VERB
fcis-20343	57	30	the	the	DET
fcis-20343	57	31	lightweight	lightweight	ADJ
fcis-20343	57	32	and	and	CCONJ
fcis-20343	57	33	detection	detection	NOUN
fcis-20343	57	34	accuracy	accuracy	NOUN
fcis-20343	57	35	based	base	VERB
fcis-20343	57	36	on	on	ADP
fcis-20343	57	37	the	the	DET
fcis-20343	57	38	problems	problem	NOUN
fcis-20343	57	39	of	of	ADP
fcis-20343	57	40	poor	poor	ADJ
fcis-20343	57	41	aerial	aerial	ADJ
fcis-20343	57	42	image	image	NOUN
fcis-20343	57	43	target	target	NOUN
fcis-20343	57	44	detection	detection	NOUN
fcis-20343	57	45	effect	effect	NOUN
fcis-20343	57	46	and	and	CCONJ
fcis-20343	57	47	difficult	difficult	ADJ
fcis-20343	57	48	detection	detection	NOUN
fcis-20343	57	49	model	model	NOUN
fcis-20343	57	50	deployment	deployment	NOUN
fcis-20343	57	51	in	in	ADP
fcis-20343	57	52	the	the	DET
fcis-20343	57	53	field	field	NOUN
fcis-20343	57	54	of	of	ADP
fcis-20343	57	55	uav	uav	PROPN
fcis-20343	57	56	aerial	aerial	ADJ
fcis-20343	57	57	photography	photography	NOUN
fcis-20343	57	58	.	.	PUNCT
fcis-20343	58	1	37	37	NUM
fcis-20343	58	2	3	3	NUM
fcis-20343	58	3	.	.	PUNCT
fcis-20343	58	4	improved	improve	VERB
fcis-20343	58	5	lightweight	lightweight	ADJ
fcis-20343	58	6	model	model	NOUN
fcis-20343	58	7	3.1	3.1	NUM
fcis-20343	58	8	.	.	PUNCT
fcis-20343	59	1	yolov7	yolov7	ADJ
fcis-20343	59	2	-	-	PUNCT
fcis-20343	59	3	tiny	tiny	ADJ
fcis-20343	59	4	network	network	NOUN
fcis-20343	59	5	architecture	architecture	NOUN
fcis-20343	59	6	the	the	DET
fcis-20343	59	7	yolov7	yolov7	NOUN
fcis-20343	59	8	target	target	NOUN
fcis-20343	59	9	detection	detection	NOUN
fcis-20343	59	10	algorithm	algorithm	NOUN
fcis-20343	59	11	is	be	AUX
fcis-20343	59	12	a	a	DET
fcis-20343	59	13	newer	new	ADJ
fcis-20343	59	14	generation	generation	NOUN
fcis-20343	59	15	of	of	ADP
fcis-20343	59	16	yolo	yolo	ADJ
fcis-20343	59	17	series	series	PROPN
fcis-20343	59	18	network	network	PROPN
fcis-20343	59	19	model	model	NOUN
fcis-20343	59	20	proposed	propose	VERB
fcis-20343	59	21	by	by	ADP
fcis-20343	59	22	wang	wang	PROPN
fcis-20343	60	1	[	[	X
fcis-20343	60	2	18	18	NUM
fcis-20343	60	3	]	]	PUNCT
fcis-20343	60	4	et	et	PROPN
fcis-20343	60	5	al	al	PROPN
fcis-20343	60	6	.	.	PROPN
fcis-20343	60	7	based	base	VERB
fcis-20343	60	8	on	on	ADP
fcis-20343	60	9	the	the	DET
fcis-20343	60	10	yolov5	yolov5	NOUN
fcis-20343	60	11	algorithm	algorithm	NOUN
fcis-20343	60	12	,	,	PUNCT
fcis-20343	60	13	which	which	PRON
fcis-20343	60	14	further	far	ADV
fcis-20343	60	15	improves	improve	VERB
fcis-20343	60	16	and	and	CCONJ
fcis-20343	60	17	optimises	optimise	VERB
fcis-20343	60	18	the	the	DET
fcis-20343	60	19	algorithm	algorithm	NOUN
fcis-20343	60	20	's	's	PART
fcis-20343	60	21	detection	detection	NOUN
fcis-20343	60	22	accuracy	accuracy	NOUN
fcis-20343	60	23	and	and	CCONJ
fcis-20343	60	24	speed	speed	NOUN
fcis-20343	60	25	.	.	PUNCT
fcis-20343	61	1	like	like	ADP
fcis-20343	61	2	the	the	DET
fcis-20343	61	3	yolov5	yolov5	NOUN
fcis-20343	61	4	algorithm	algorithm	PROPN
fcis-20343	61	5	,	,	PUNCT
fcis-20343	61	6	the	the	DET
fcis-20343	61	7	yolov7	yolov7	NOUN
fcis-20343	61	8	algorithm	algorithm	PROPN
fcis-20343	61	9	is	be	AUX
fcis-20343	61	10	proposed	propose	VERB
fcis-20343	61	11	in	in	ADP
fcis-20343	61	12	different	different	ADJ
fcis-20343	61	13	versions	version	NOUN
fcis-20343	61	14	for	for	ADP
fcis-20343	61	15	different	different	ADJ
fcis-20343	61	16	usage	usage	NOUN
fcis-20343	61	17	scenarios	scenario	NOUN
fcis-20343	61	18	and	and	CCONJ
fcis-20343	61	19	hardware	hardware	NOUN
fcis-20343	61	20	support	support	NOUN
fcis-20343	61	21	platforms	platform	NOUN
fcis-20343	61	22	.	.	PUNCT
fcis-20343	62	1	among	among	ADP
fcis-20343	62	2	them	they	PRON
fcis-20343	62	3	,	,	PUNCT
fcis-20343	62	4	yolov7	yolov7	NOUN
fcis-20343	62	5	-	-	PUNCT
fcis-20343	62	6	tiny	tiny	ADJ
fcis-20343	62	7	is	be	AUX
fcis-20343	62	8	the	the	DET
fcis-20343	62	9	network	network	NOUN
fcis-20343	62	10	model	model	NOUN
fcis-20343	62	11	suitable	suitable	ADJ
fcis-20343	62	12	for	for	ADP
fcis-20343	62	13	edge	edge	NOUN
fcis-20343	62	14	computing	computing	NOUN
fcis-20343	62	15	platforms	platform	NOUN
fcis-20343	62	16	in	in	ADP
fcis-20343	62	17	the	the	DET
fcis-20343	62	18	yolov7	yolov7	PROPN
fcis-20343	62	19	series	series	NOUN
fcis-20343	62	20	of	of	ADP
fcis-20343	62	21	algorithms	algorithms	PROPN
fcis-20343	62	22	.	.	PUNCT
fcis-20343	63	1	its	its	PRON
fcis-20343	63	2	network	network	NOUN
fcis-20343	63	3	structure	structure	NOUN
fcis-20343	63	4	consists	consist	VERB
fcis-20343	63	5	of	of	ADP
fcis-20343	63	6	three	three	NUM
fcis-20343	63	7	parts	part	NOUN
fcis-20343	63	8	:	:	PUNCT
fcis-20343	63	9	input	input	NOUN
fcis-20343	63	10	,	,	PUNCT
fcis-20343	63	11	backbone	backbone	NOUN
fcis-20343	63	12	,	,	PUNCT
fcis-20343	63	13	and	and	CCONJ
fcis-20343	63	14	head	head	NOUN
fcis-20343	63	15	,	,	PUNCT
fcis-20343	63	16	as	as	SCONJ
fcis-20343	63	17	shown	show	VERB
fcis-20343	63	18	in	in	ADP
fcis-20343	63	19	figure	figure	NOUN
fcis-20343	63	20	1	1	NUM
fcis-20343	63	21	.	.	PUNCT
fcis-20343	64	1	the	the	DET
fcis-20343	64	2	backbone	backbone	NOUN
fcis-20343	64	3	network	network	NOUN
fcis-20343	64	4	consists	consist	VERB
fcis-20343	64	5	of	of	ADP
fcis-20343	64	6	cbl	cbl	PROPN
fcis-20343	64	7	,	,	PUNCT
fcis-20343	64	8	elan	elan	PROPN
fcis-20343	64	9	and	and	CCONJ
fcis-20343	64	10	mp	mp	PROPN
fcis-20343	64	11	modules	module	NOUN
fcis-20343	64	12	,	,	PUNCT
fcis-20343	64	13	which	which	PRON
fcis-20343	64	14	are	be	AUX
fcis-20343	64	15	used	use	VERB
fcis-20343	64	16	to	to	PART
fcis-20343	64	17	complete	complete	VERB
fcis-20343	64	18	the	the	DET
fcis-20343	64	19	feature	feature	NOUN
fcis-20343	64	20	extraction	extraction	NOUN
fcis-20343	64	21	of	of	ADP
fcis-20343	64	22	the	the	DET
fcis-20343	64	23	image	image	NOUN
fcis-20343	64	24	.	.	PUNCT
fcis-20343	65	1	the	the	DET
fcis-20343	65	2	head	head	NOUN
fcis-20343	65	3	part	part	NOUN
fcis-20343	65	4	consists	consist	VERB
fcis-20343	65	5	of	of	ADP
fcis-20343	65	6	sppcspc	sppcspc	NOUN
fcis-20343	65	7	,	,	PUNCT
fcis-20343	65	8	upsample	upsample	PROPN
fcis-20343	65	9	,	,	PUNCT
fcis-20343	65	10	elan	elan	PROPN
fcis-20343	65	11	and	and	CCONJ
fcis-20343	65	12	cbl	cbl	PROPN
fcis-20343	65	13	modules	module	NOUN
fcis-20343	65	14	,	,	PUNCT
fcis-20343	65	15	which	which	PRON
fcis-20343	65	16	fuses	fuse	VERB
fcis-20343	65	17	the	the	DET
fcis-20343	65	18	high	high	ADJ
fcis-20343	65	19	-	-	PUNCT
fcis-20343	65	20	level	level	NOUN
fcis-20343	65	21	features	feature	NOUN
fcis-20343	65	22	with	with	ADP
fcis-20343	65	23	the	the	DET
fcis-20343	65	24	low	low	ADJ
fcis-20343	65	25	-	-	PUNCT
fcis-20343	65	26	level	level	NOUN
fcis-20343	65	27	features	feature	NOUN
fcis-20343	65	28	to	to	PART
fcis-20343	65	29	realise	realise	VERB
fcis-20343	65	30	the	the	DET
fcis-20343	65	31	fusion	fusion	NOUN
fcis-20343	65	32	of	of	ADP
fcis-20343	65	33	high	high	ADJ
fcis-20343	65	34	-	-	PUNCT
fcis-20343	65	35	resolution	resolution	NOUN
fcis-20343	65	36	information	information	NOUN
fcis-20343	65	37	and	and	CCONJ
fcis-20343	65	38	high	high	ADJ
fcis-20343	65	39	-	-	PUNCT
fcis-20343	65	40	level	level	NOUN
fcis-20343	65	41	semantic	semantic	ADJ
fcis-20343	65	42	information	information	NOUN
fcis-20343	65	43	.	.	PUNCT
fcis-20343	66	1	and	and	CCONJ
fcis-20343	66	2	the	the	DET
fcis-20343	66	3	corresponding	correspond	VERB
fcis-20343	66	4	detection	detection	NOUN
fcis-20343	66	5	heads	head	NOUN
fcis-20343	66	6	are	be	AUX
fcis-20343	66	7	designed	design	VERB
fcis-20343	66	8	for	for	ADP
fcis-20343	66	9	large	large	ADJ
fcis-20343	66	10	,	,	PUNCT
fcis-20343	66	11	medium	medium	ADJ
fcis-20343	66	12	and	and	CCONJ
fcis-20343	66	13	small	small	ADJ
fcis-20343	66	14	detection	detection	NOUN
fcis-20343	66	15	targets	target	NOUN
fcis-20343	66	16	in	in	ADP
fcis-20343	66	17	the	the	DET
fcis-20343	66	18	image	image	NOUN
fcis-20343	66	19	.	.	PUNCT
fcis-20343	67	1	figure	figure	NOUN
fcis-20343	67	2	1	1	NUM
fcis-20343	67	3	.	.	PUNCT
fcis-20343	67	4	yolov7	yolov7	ADJ
fcis-20343	67	5	-	-	PUNCT
fcis-20343	67	6	tiny	tiny	ADJ
fcis-20343	67	7	network	network	NOUN
fcis-20343	67	8	structure	structure	NOUN
fcis-20343	67	9	3.2	3.2	NUM
fcis-20343	67	10	.	.	PUNCT
fcis-20343	68	1	improvement	improvement	NOUN
fcis-20343	68	2	of	of	ADP
fcis-20343	68	3	the	the	DET
fcis-20343	68	4	elan	elan	PROPN
fcis-20343	68	5	module	module	NOUN
fcis-20343	68	6	in	in	ADP
fcis-20343	68	7	order	order	NOUN
fcis-20343	68	8	to	to	PART
fcis-20343	68	9	reduce	reduce	VERB
fcis-20343	68	10	the	the	DET
fcis-20343	68	11	number	number	NOUN
fcis-20343	68	12	of	of	ADP
fcis-20343	68	13	floating	float	VERB
fcis-20343	68	14	-	-	PUNCT
fcis-20343	68	15	point	point	NOUN
fcis-20343	68	16	operations	operation	NOUN
fcis-20343	68	17	and	and	CCONJ
fcis-20343	68	18	the	the	DET
fcis-20343	68	19	number	number	NOUN
fcis-20343	68	20	of	of	ADP
fcis-20343	68	21	memory	memory	NOUN
fcis-20343	68	22	accesses	access	NOUN
fcis-20343	68	23	of	of	ADP
fcis-20343	68	24	the	the	DET
fcis-20343	68	25	model	model	NOUN
fcis-20343	68	26	in	in	ADP
fcis-20343	68	27	the	the	DET
fcis-20343	68	28	detection	detection	NOUN
fcis-20343	68	29	process	process	NOUN
fcis-20343	68	30	,	,	PUNCT
fcis-20343	68	31	chen	chen	PROPN
fcis-20343	69	1	[	[	X
fcis-20343	69	2	32	32	NUM
fcis-20343	69	3	]	]	PUNCT
fcis-20343	69	4	et	et	PROPN
fcis-20343	69	5	al	al	PROPN
fcis-20343	69	6	.	.	PROPN
fcis-20343	69	7	proposed	propose	VERB
fcis-20343	69	8	a	a	DET
fcis-20343	69	9	new	new	ADJ
fcis-20343	69	10	partial	partial	ADJ
fcis-20343	69	11	convolution	convolution	NOUN
fcis-20343	69	12	pconv	pconv	NOUN
fcis-20343	69	13	.	.	PUNCT
fcis-20343	70	1	by	by	ADP
fcis-20343	70	2	reducing	reduce	VERB
fcis-20343	70	3	redundant	redundant	ADJ
fcis-20343	70	4	calculations	calculation	NOUN
fcis-20343	70	5	and	and	CCONJ
fcis-20343	70	6	memory	memory	NOUN
fcis-20343	70	7	accesses	access	NOUN
fcis-20343	70	8	at	at	ADP
fcis-20343	70	9	the	the	DET
fcis-20343	70	10	same	same	ADJ
fcis-20343	70	11	time	time	NOUN
fcis-20343	70	12	,	,	PUNCT
fcis-20343	70	13	the	the	DET
fcis-20343	70	14	convolution	convolution	NOUN
fcis-20343	70	15	can	can	AUX
fcis-20343	70	16	extract	extract	VERB
fcis-20343	70	17	spatial	spatial	ADJ
fcis-20343	70	18	features	feature	NOUN
fcis-20343	70	19	more	more	ADV
fcis-20343	70	20	effectively	effectively	ADV
fcis-20343	70	21	.	.	PUNCT
fcis-20343	71	1	based	base	VERB
fcis-20343	71	2	on	on	ADP
fcis-20343	71	3	partial	partial	ADJ
fcis-20343	71	4	convolutional	convolutional	ADJ
fcis-20343	71	5	pconv	pconv	NOUN
fcis-20343	71	6	,	,	PUNCT
fcis-20343	71	7	a	a	DET
fcis-20343	71	8	fasternet	fasternet	NOUN
fcis-20343	71	9	neural	neural	ADJ
fcis-20343	71	10	network	network	NOUN
fcis-20343	71	11	with	with	ADP
fcis-20343	71	12	faster	fast	ADJ
fcis-20343	71	13	running	running	NOUN
fcis-20343	71	14	speed	speed	NOUN
fcis-20343	71	15	is	be	AUX
fcis-20343	71	16	further	far	ADV
fcis-20343	71	17	proposed	propose	VERB
fcis-20343	71	18	to	to	PART
fcis-20343	71	19	verify	verify	VERB
fcis-20343	71	20	the	the	DET
fcis-20343	71	21	detection	detection	NOUN
fcis-20343	71	22	effect	effect	NOUN
fcis-20343	71	23	of	of	ADP
fcis-20343	71	24	the	the	DET
fcis-20343	71	25	new	new	ADJ
fcis-20343	71	26	convolutional	convolutional	ADJ
fcis-20343	71	27	pconv	pconv	NOUN
fcis-20343	71	28	in	in	ADP
fcis-20343	71	29	the	the	DET
fcis-20343	71	30	network	network	NOUN
fcis-20343	71	31	model	model	NOUN
fcis-20343	71	32	.	.	PUNCT
fcis-20343	72	1	the	the	DET
fcis-20343	72	2	reason	reason	NOUN
fcis-20343	72	3	why	why	SCONJ
fcis-20343	72	4	pconv	pconv	NOUN
fcis-20343	72	5	can	can	AUX
fcis-20343	72	6	make	make	VERB
fcis-20343	72	7	the	the	DET
fcis-20343	72	8	network	network	NOUN
fcis-20343	72	9	have	have	VERB
fcis-20343	72	10	efficient	efficient	ADJ
fcis-20343	72	11	and	and	CCONJ
fcis-20343	72	12	fast	fast	ADJ
fcis-20343	72	13	operation	operation	NOUN
fcis-20343	72	14	effect	effect	NOUN
fcis-20343	72	15	is	be	AUX
fcis-20343	72	16	that	that	SCONJ
fcis-20343	72	17	it	it	PRON
fcis-20343	72	18	only	only	ADV
fcis-20343	72	19	needs	need	VERB
fcis-20343	72	20	to	to	PART
fcis-20343	72	21	apply	apply	VERB
fcis-20343	72	22	filters	filter	NOUN
fcis-20343	72	23	on	on	ADP
fcis-20343	72	24	a	a	DET
fcis-20343	72	25	part	part	NOUN
fcis-20343	72	26	of	of	ADP
fcis-20343	72	27	the	the	DET
fcis-20343	72	28	input	input	NOUN
fcis-20343	72	29	channels	channel	NOUN
fcis-20343	72	30	to	to	PART
fcis-20343	72	31	extract	extract	VERB
fcis-20343	72	32	spatial	spatial	ADJ
fcis-20343	72	33	features	feature	NOUN
fcis-20343	72	34	,	,	PUNCT
fcis-20343	72	35	and	and	CCONJ
fcis-20343	72	36	the	the	DET
fcis-20343	72	37	rest	rest	NOUN
fcis-20343	72	38	channels	channel	NOUN
fcis-20343	72	39	remain	remain	VERB
fcis-20343	72	40	unchanged	unchanged	ADJ
fcis-20343	72	41	.	.	PUNCT
fcis-20343	73	1	figure	figure	NOUN
fcis-20343	73	2	2	2	NUM
fcis-20343	73	3	shows	show	VERB
fcis-20343	73	4	the	the	DET
fcis-20343	73	5	different	different	ADJ
fcis-20343	73	6	convolutional	convolutional	ADJ
fcis-20343	73	7	designs	design	NOUN
fcis-20343	73	8	.	.	PUNCT
fcis-20343	73	9	  	  	SPACE
fcis-20343	74	1	figure	figure	NOUN
fcis-20343	74	2	2	2	NUM
fcis-20343	74	3	.	.	PUNCT
fcis-20343	75	1	convolution	convolution	NOUN
fcis-20343	75	2	comparison	comparison	NOUN
fcis-20343	75	3	diagram	diagram	NOUN
fcis-20343	75	4	compared	compare	VERB
fcis-20343	75	5	with	with	ADP
fcis-20343	75	6	the	the	DET
fcis-20343	75	7	regular	regular	ADJ
fcis-20343	75	8	conv	conv	NOUN
fcis-20343	75	9	,	,	PUNCT
fcis-20343	75	10	the	the	DET
fcis-20343	75	11	partial	partial	ADJ
fcis-20343	75	12	conv	conv	NOUN
fcis-20343	75	13	has	have	VERB
fcis-20343	75	14	lower	low	ADJ
fcis-20343	75	15	flops	flop	NOUN
fcis-20343	75	16	.	.	PUNCT
fcis-20343	76	1	relative	relative	ADJ
fcis-20343	76	2	to	to	ADP
fcis-20343	76	3	the	the	DET
fcis-20343	76	4	depth	depth	NOUN
fcis-20343	76	5	of	of	ADP
fcis-20343	76	6	separable	separable	ADJ
fcis-20343	76	7	convolution	convolution	NOUN
fcis-20343	76	8	dwconv	dwconv	ADJ
fcis-20343	76	9	part	part	NOUN
fcis-20343	76	10	convolution	convolution	NOUN
fcis-20343	76	11	pconv	pconv	NOUN
fcis-20343	76	12	can	can	AUX
fcis-20343	76	13	in	in	ADP
fcis-20343	76	14	reducing	reduce	VERB
fcis-20343	76	15	network	network	NOUN
fcis-20343	76	16	model	model	NOUN
fcis-20343	76	17	and	and	CCONJ
fcis-20343	76	18	quantity	quantity	NOUN
fcis-20343	76	19	and	and	CCONJ
fcis-20343	76	20	on	on	ADP
fcis-20343	76	21	the	the	DET
fcis-20343	76	22	basis	basis	NOUN
fcis-20343	76	23	of	of	ADP
fcis-20343	76	24	the	the	DET
fcis-20343	76	25	amount	amount	NOUN
fcis-20343	76	26	of	of	ADP
fcis-20343	76	27	calculation	calculation	NOUN
fcis-20343	76	28	and	and	CCONJ
fcis-20343	76	29	to	to	PART
fcis-20343	76	30	reduce	reduce	VERB
fcis-20343	76	31	memory	memory	NOUN
fcis-20343	76	32	access	access	NOUN
fcis-20343	76	33	and	and	CCONJ
fcis-20343	76	34	reduce	reduce	VERB
fcis-20343	76	35	the	the	DET
fcis-20343	76	36	cost	cost	NOUN
fcis-20343	76	37	of	of	ADP
fcis-20343	76	38	model	model	NOUN
fcis-20343	76	39	checking	checking	NOUN
fcis-20343	76	40	effect	effect	NOUN
fcis-20343	76	41	;	;	PUNCT
fcis-20343	76	42	the	the	DET
fcis-20343	76	43	improved	improved	ADJ
fcis-20343	76	44	network	network	NOUN
fcis-20343	76	45	model	model	NOUN
fcis-20343	76	46	can	can	AUX
fcis-20343	76	47	reduce	reduce	VERB
fcis-20343	76	48	the	the	DET
fcis-20343	76	49	requirement	requirement	NOUN
fcis-20343	76	50	of	of	ADP
fcis-20343	76	51	computing	compute	VERB
fcis-20343	76	52	power	power	NOUN
fcis-20343	76	53	of	of	ADP
fcis-20343	76	54	hardware	hardware	NOUN
fcis-20343	76	55	equipment	equipment	NOUN
fcis-20343	76	56	.	.	PUNCT
fcis-20343	77	1	in	in	ADP
fcis-20343	77	2	this	this	DET
fcis-20343	77	3	paper	paper	NOUN
fcis-20343	77	4	,	,	PUNCT
fcis-20343	77	5	the	the	DET
fcis-20343	77	6	elan	elan	PROPN
fcis-20343	77	7	module	module	NOUN
fcis-20343	77	8	in	in	ADP
fcis-20343	77	9	the	the	DET
fcis-20343	77	10	original	original	ADJ
fcis-20343	77	11	network	network	NOUN
fcis-20343	77	12	is	be	AUX
fcis-20343	77	13	improved	improve	VERB
fcis-20343	77	14	by	by	ADP
fcis-20343	77	15	combining	combine	VERB
fcis-20343	77	16	the	the	DET
fcis-20343	77	17	partial	partial	ADJ
fcis-20343	77	18	convolution	convolution	NOUN
fcis-20343	77	19	pconv	pconv	NOUN
fcis-20343	77	20	.	.	PUNCT
fcis-20343	77	21	  	  	SPACE
fcis-20343	78	1	figure	figure	NOUN
fcis-20343	78	2	3	3	NUM
fcis-20343	78	3	.	.	PUNCT
fcis-20343	79	1	the	the	DET
fcis-20343	79	2	improved	improve	VERB
fcis-20343	79	3	elan_p	elan_p	NOUN
fcis-20343	79	4	module	module	NOUN
fcis-20343	79	5	38	38	NUM
fcis-20343	79	6	the	the	DET
fcis-20343	79	7	ordinary	ordinary	ADJ
fcis-20343	79	8	convolution	convolution	NOUN
fcis-20343	79	9	conv	conv	ADJ
fcis-20343	79	10	with	with	ADP
fcis-20343	79	11	the	the	DET
fcis-20343	79	12	convolution	convolution	NOUN
fcis-20343	79	13	kernel	kernel	NOUN
fcis-20343	79	14	size	size	NOUN
fcis-20343	79	15	of	of	ADP
fcis-20343	79	16	3×3	3×3	NUM
fcis-20343	79	17	in	in	ADP
fcis-20343	79	18	the	the	DET
fcis-20343	79	19	original	original	ADJ
fcis-20343	79	20	elan	elan	NOUN
fcis-20343	79	21	module	module	NOUN
fcis-20343	79	22	is	be	AUX
fcis-20343	79	23	replaced	replace	VERB
fcis-20343	79	24	by	by	ADP
fcis-20343	79	25	the	the	DET
fcis-20343	79	26	partial	partial	ADJ
fcis-20343	79	27	convolution	convolution	NOUN
fcis-20343	79	28	pconv	pconv	NOUN
fcis-20343	79	29	with	with	ADP
fcis-20343	79	30	faster	fast	ADJ
fcis-20343	79	31	calculation	calculation	NOUN
fcis-20343	79	32	speed	speed	NOUN
fcis-20343	79	33	,	,	PUNCT
fcis-20343	79	34	and	and	CCONJ
fcis-20343	79	35	the	the	DET
fcis-20343	79	36	new	new	ADJ
fcis-20343	79	37	elan_p	elan_p	NOUN
fcis-20343	79	38	module	module	NOUN
fcis-20343	79	39	is	be	AUX
fcis-20343	79	40	obtained	obtain	VERB
fcis-20343	79	41	,	,	PUNCT
fcis-20343	79	42	as	as	SCONJ
fcis-20343	79	43	shown	show	VERB
fcis-20343	79	44	in	in	ADP
fcis-20343	79	45	figure	figure	NOUN
fcis-20343	79	46	3	3	NUM
fcis-20343	79	47	,	,	PUNCT
fcis-20343	79	48	and	and	CCONJ
fcis-20343	79	49	some	some	DET
fcis-20343	79	50	elan	elan	NOUN
fcis-20343	79	51	modules	module	NOUN
fcis-20343	79	52	in	in	ADP
fcis-20343	79	53	the	the	DET
fcis-20343	79	54	original	original	ADJ
fcis-20343	79	55	detection	detection	NOUN
fcis-20343	79	56	network	network	NOUN
fcis-20343	79	57	are	be	AUX
fcis-20343	79	58	replaced	replace	VERB
fcis-20343	79	59	.	.	PUNCT
fcis-20343	80	1	the	the	DET
fcis-20343	80	2	detection	detection	NOUN
fcis-20343	80	3	model	model	NOUN
fcis-20343	80	4	reduces	reduce	VERB
fcis-20343	80	5	the	the	DET
fcis-20343	80	6	amount	amount	NOUN
fcis-20343	80	7	of	of	ADP
fcis-20343	80	8	calculation	calculation	NOUN
fcis-20343	80	9	and	and	CCONJ
fcis-20343	80	10	access	access	NOUN
fcis-20343	80	11	to	to	ADP
fcis-20343	80	12	memory	memory	NOUN
fcis-20343	80	13	in	in	ADP
fcis-20343	80	14	the	the	DET
fcis-20343	80	15	feature	feature	NOUN
fcis-20343	80	16	extraction	extraction	NOUN
fcis-20343	80	17	process	process	NOUN
fcis-20343	80	18	of	of	ADP
fcis-20343	80	19	the	the	DET
fcis-20343	80	20	backbone	backbone	NOUN
fcis-20343	80	21	network	network	NOUN
fcis-20343	80	22	,	,	PUNCT
fcis-20343	80	23	and	and	CCONJ
fcis-20343	80	24	realizes	realize	VERB
fcis-20343	80	25	the	the	DET
fcis-20343	80	26	improvement	improvement	NOUN
fcis-20343	80	27	of	of	ADP
fcis-20343	80	28	lightweight	lightweight	ADJ
fcis-20343	80	29	model	model	NOUN
fcis-20343	80	30	.	.	PUNCT
fcis-20343	81	1	3.3	3.3	NUM
fcis-20343	81	2	.	.	PUNCT
fcis-20343	82	1	network	network	NOUN
fcis-20343	82	2	structure	structure	NOUN
fcis-20343	82	3	improvement	improvement	NOUN
fcis-20343	82	4	in	in	ADP
fcis-20343	82	5	the	the	DET
fcis-20343	82	6	feature	feature	NOUN
fcis-20343	82	7	fusion	fusion	NOUN
fcis-20343	82	8	part	part	NOUN
fcis-20343	82	9	of	of	ADP
fcis-20343	82	10	the	the	DET
fcis-20343	82	11	head	head	NOUN
fcis-20343	82	12	part	part	NOUN
fcis-20343	82	13	of	of	ADP
fcis-20343	82	14	the	the	DET
fcis-20343	82	15	original	original	ADJ
fcis-20343	82	16	yolov7	yolov7	NOUN
fcis-20343	82	17	-	-	PUNCT
fcis-20343	82	18	tiny	tiny	ADJ
fcis-20343	82	19	network	network	NOUN
fcis-20343	82	20	,	,	PUNCT
fcis-20343	82	21	only	only	ADV
fcis-20343	82	22	the	the	DET
fcis-20343	82	23	feature	feature	NOUN
fcis-20343	82	24	map	map	NOUN
fcis-20343	82	25	is	be	AUX
fcis-20343	82	26	upsampled	upsample	VERB
fcis-20343	82	27	twice	twice	ADV
fcis-20343	82	28	,	,	PUNCT
fcis-20343	82	29	which	which	PRON
fcis-20343	82	30	has	have	VERB
fcis-20343	82	31	a	a	DET
fcis-20343	82	32	good	good	ADJ
fcis-20343	82	33	detection	detection	NOUN
fcis-20343	82	34	effect	effect	NOUN
fcis-20343	82	35	for	for	ADP
fcis-20343	82	36	detecting	detect	VERB
fcis-20343	82	37	large	large	ADJ
fcis-20343	82	38	and	and	CCONJ
fcis-20343	82	39	medium	medium	ADJ
fcis-20343	82	40	-	-	PUNCT
fcis-20343	82	41	sized	sized	ADJ
fcis-20343	82	42	targets	target	NOUN
fcis-20343	82	43	in	in	ADP
fcis-20343	82	44	the	the	DET
fcis-20343	82	45	image	image	NOUN
fcis-20343	82	46	.	.	PUNCT
fcis-20343	83	1	however	however	ADV
fcis-20343	83	2	,	,	PUNCT
fcis-20343	83	3	for	for	ADP
fcis-20343	83	4	small	small	ADJ
fcis-20343	83	5	targets	target	NOUN
fcis-20343	83	6	in	in	ADP
fcis-20343	83	7	uav	uav	PROPN
fcis-20343	83	8	aerial	aerial	ADJ
fcis-20343	83	9	images	image	NOUN
fcis-20343	83	10	,	,	PUNCT
fcis-20343	83	11	such	such	ADJ
fcis-20343	83	12	feature	feature	NOUN
fcis-20343	83	13	fusion	fusion	NOUN
fcis-20343	83	14	methods	method	NOUN
fcis-20343	83	15	can	can	AUX
fcis-20343	83	16	not	not	PART
fcis-20343	83	17	fully	fully	ADV
fcis-20343	83	18	extract	extract	VERB
fcis-20343	83	19	the	the	DET
fcis-20343	83	20	feature	feature	NOUN
fcis-20343	83	21	information	information	NOUN
fcis-20343	83	22	and	and	CCONJ
fcis-20343	83	23	corresponding	correspond	VERB
fcis-20343	83	24	semantic	semantic	ADJ
fcis-20343	83	25	information	information	NOUN
fcis-20343	83	26	of	of	ADP
fcis-20343	83	27	small	small	ADJ
fcis-20343	83	28	targets	target	NOUN
fcis-20343	83	29	in	in	ADP
fcis-20343	83	30	aerial	aerial	ADJ
fcis-20343	83	31	images	image	NOUN
fcis-20343	83	32	,	,	PUNCT
fcis-20343	83	33	so	so	SCONJ
fcis-20343	83	34	that	that	SCONJ
fcis-20343	83	35	the	the	DET
fcis-20343	83	36	detection	detection	NOUN
fcis-20343	83	37	model	model	NOUN
fcis-20343	83	38	is	be	AUX
fcis-20343	83	39	prone	prone	ADJ
fcis-20343	83	40	to	to	ADP
fcis-20343	83	41	false	false	ADJ
fcis-20343	83	42	detection	detection	NOUN
fcis-20343	83	43	and	and	CCONJ
fcis-20343	83	44	missed	miss	VERB
fcis-20343	83	45	detection	detection	NOUN
fcis-20343	83	46	when	when	SCONJ
fcis-20343	83	47	detecting	detect	VERB
fcis-20343	83	48	small	small	ADJ
fcis-20343	83	49	targets	target	NOUN
fcis-20343	83	50	in	in	ADP
fcis-20343	83	51	aerial	aerial	ADJ
fcis-20343	83	52	images	image	NOUN
fcis-20343	83	53	.	.	PUNCT
fcis-20343	84	1	in	in	ADP
fcis-20343	84	2	order	order	NOUN
fcis-20343	84	3	to	to	PART
fcis-20343	84	4	make	make	VERB
fcis-20343	84	5	full	full	ADJ
fcis-20343	84	6	use	use	NOUN
fcis-20343	84	7	of	of	ADP
fcis-20343	84	8	the	the	DET
fcis-20343	84	9	feature	feature	NOUN
fcis-20343	84	10	information	information	NOUN
fcis-20343	84	11	of	of	ADP
fcis-20343	84	12	small	small	ADJ
fcis-20343	84	13	targets	target	NOUN
fcis-20343	84	14	in	in	ADP
fcis-20343	84	15	aerial	aerial	ADJ
fcis-20343	84	16	images	image	NOUN
fcis-20343	84	17	and	and	CCONJ
fcis-20343	84	18	improve	improve	VERB
fcis-20343	84	19	the	the	DET
fcis-20343	84	20	detection	detection	NOUN
fcis-20343	84	21	effect	effect	NOUN
fcis-20343	84	22	of	of	ADP
fcis-20343	84	23	the	the	DET
fcis-20343	84	24	detection	detection	NOUN
fcis-20343	84	25	network	network	NOUN
fcis-20343	84	26	for	for	ADP
fcis-20343	84	27	small	small	ADJ
fcis-20343	84	28	targets	target	NOUN
fcis-20343	84	29	in	in	ADP
fcis-20343	84	30	aerial	aerial	ADJ
fcis-20343	84	31	images	image	NOUN
fcis-20343	84	32	,	,	PUNCT
fcis-20343	84	33	an	an	DET
fcis-20343	84	34	upsampling	upsample	VERB
fcis-20343	84	35	layer	layer	NOUN
fcis-20343	84	36	is	be	AUX
fcis-20343	84	37	added	add	VERB
fcis-20343	84	38	to	to	ADP
fcis-20343	84	39	the	the	DET
fcis-20343	84	40	head	head	NOUN
fcis-20343	84	41	part	part	NOUN
fcis-20343	84	42	of	of	ADP
fcis-20343	84	43	the	the	DET
fcis-20343	84	44	original	original	ADJ
fcis-20343	84	45	network	network	NOUN
fcis-20343	84	46	to	to	PART
fcis-20343	84	47	extract	extract	VERB
fcis-20343	84	48	more	more	ADJ
fcis-20343	84	49	target	target	NOUN
fcis-20343	84	50	feature	feature	NOUN
fcis-20343	84	51	information	information	NOUN
fcis-20343	84	52	.	.	PUNCT
fcis-20343	85	1	on	on	ADP
fcis-20343	85	2	this	this	DET
fcis-20343	85	3	basis	basis	NOUN
fcis-20343	85	4	,	,	PUNCT
fcis-20343	85	5	a	a	DET
fcis-20343	85	6	new	new	ADJ
fcis-20343	85	7	detection	detection	NOUN
fcis-20343	85	8	head	head	NOUN
fcis-20343	85	9	xsmall	xsmall	NOUN
fcis-20343	85	10	suitable	suitable	ADJ
fcis-20343	85	11	for	for	ADP
fcis-20343	85	12	small	small	ADJ
fcis-20343	85	13	targets	target	NOUN
fcis-20343	85	14	in	in	ADP
fcis-20343	85	15	uav	uav	PROPN
fcis-20343	85	16	aerial	aerial	ADJ
fcis-20343	85	17	images	image	NOUN
fcis-20343	85	18	is	be	AUX
fcis-20343	85	19	redesigned	redesign	VERB
fcis-20343	85	20	.	.	PUNCT
fcis-20343	86	1	and	and	CCONJ
fcis-20343	86	2	to	to	PART
fcis-20343	86	3	test	test	VERB
fcis-20343	86	4	the	the	DET
fcis-20343	86	5	model	model	NOUN
fcis-20343	86	6	keep	keep	VERB
fcis-20343	86	7	lightweight	lightweight	ADJ
fcis-20343	86	8	,	,	PUNCT
fcis-20343	86	9	decrease	decrease	VERB
fcis-20343	86	10	the	the	DET
fcis-20343	86	11	number	number	NOUN
fcis-20343	86	12	of	of	ADP
fcis-20343	86	13	arguments	argument	NOUN
fcis-20343	86	14	,	,	PUNCT
fcis-20343	86	15	to	to	PART
fcis-20343	86	16	remove	remove	VERB
fcis-20343	86	17	the	the	DET
fcis-20343	86	18	original	original	ADJ
fcis-20343	86	19	network	network	NOUN
fcis-20343	86	20	for	for	ADP
fcis-20343	86	21	large	large	ADJ
fcis-20343	86	22	target	target	NOUN
fcis-20343	86	23	detection	detection	NOUN
fcis-20343	86	24	head	head	NOUN
fcis-20343	86	25	,	,	PUNCT
fcis-20343	86	26	retained	retain	VERB
fcis-20343	86	27	in	in	ADP
fcis-20343	86	28	the	the	DET
fcis-20343	86	29	image	image	NOUN
fcis-20343	86	30	is	be	AUX
fcis-20343	86	31	used	use	VERB
fcis-20343	86	32	for	for	ADP
fcis-20343	86	33	detection	detection	NOUN
fcis-20343	86	34	of	of	ADP
fcis-20343	86	35	medium	medium	ADJ
fcis-20343	86	36	and	and	CCONJ
fcis-20343	86	37	small	small	ADJ
fcis-20343	86	38	target	target	NOUN
fcis-20343	86	39	detection	detection	NOUN
fcis-20343	86	40	.	.	PUNCT
fcis-20343	87	1	the	the	DET
fcis-20343	87	2	structure	structure	NOUN
fcis-20343	87	3	of	of	ADP
fcis-20343	87	4	the	the	DET
fcis-20343	87	5	head	head	NOUN
fcis-20343	87	6	part	part	NOUN
fcis-20343	87	7	after	after	ADP
fcis-20343	87	8	improvement	improvement	NOUN
fcis-20343	87	9	are	be	AUX
fcis-20343	87	10	shown	show	VERB
fcis-20343	87	11	in	in	ADP
fcis-20343	87	12	figure	figure	NOUN
fcis-20343	87	13	4	4	NUM
fcis-20343	87	14	below	below	ADV
fcis-20343	87	15	.	.	PUNCT
fcis-20343	87	16	  	  	SPACE
fcis-20343	88	1	figure	figure	NOUN
fcis-20343	88	2	4	4	NUM
fcis-20343	88	3	.	.	PUNCT
fcis-20343	88	4	improved	improve	VERB
fcis-20343	88	5	head	head	NOUN
fcis-20343	88	6	section	section	NOUN
fcis-20343	88	7	structure	structure	NOUN
fcis-20343	88	8	3.4	3.4	NUM
fcis-20343	88	9	.	.	PUNCT
fcis-20343	88	10	se	se	PROPN
fcis-20343	88	11	attention	attention	NOUN
fcis-20343	88	12	mechanism	mechanism	NOUN
fcis-20343	88	13	se	se	X
fcis-20343	88	14	(	(	PUNCT
fcis-20343	88	15	squeeze	squeeze	NOUN
fcis-20343	88	16	-	-	PUNCT
fcis-20343	88	17	excitation	excitation	NOUN
fcis-20343	88	18	)	)	PUNCT
fcis-20343	88	19	attention	attention	NOUN
fcis-20343	88	20	mechanism	mechanism	NOUN
fcis-20343	88	21	was	be	AUX
fcis-20343	88	22	proposed	propose	VERB
fcis-20343	88	23	by	by	ADP
fcis-20343	88	24	hu	hu	PROPN
fcis-20343	89	1	[	[	X
fcis-20343	89	2	33	33	NUM
fcis-20343	89	3	]	]	PUNCT
fcis-20343	89	4	et	et	PROPN
fcis-20343	89	5	al	al	PROPN
fcis-20343	89	6	.	.	PUNCT
fcis-20343	90	1	this	this	DET
fcis-20343	90	2	attention	attention	NOUN
fcis-20343	90	3	mechanism	mechanism	NOUN
fcis-20343	90	4	uses	use	VERB
fcis-20343	90	5	a	a	DET
fcis-20343	90	6	weight	weight	NOUN
fcis-20343	90	7	matrix	matrix	NOUN
fcis-20343	90	8	to	to	PART
fcis-20343	90	9	give	give	VERB
fcis-20343	90	10	different	different	ADJ
fcis-20343	90	11	weights	weight	NOUN
fcis-20343	90	12	to	to	ADP
fcis-20343	90	13	different	different	ADJ
fcis-20343	90	14	positions	position	NOUN
fcis-20343	90	15	of	of	ADP
fcis-20343	90	16	the	the	DET
fcis-20343	90	17	detection	detection	NOUN
fcis-20343	90	18	image	image	NOUN
fcis-20343	90	19	from	from	ADP
fcis-20343	90	20	the	the	DET
fcis-20343	90	21	perspective	perspective	NOUN
fcis-20343	90	22	of	of	ADP
fcis-20343	90	23	the	the	DET
fcis-20343	90	24	channel	channel	NOUN
fcis-20343	90	25	domain	domain	NOUN
fcis-20343	90	26	,	,	PUNCT
fcis-20343	90	27	so	so	SCONJ
fcis-20343	90	28	as	as	SCONJ
fcis-20343	90	29	to	to	PART
fcis-20343	90	30	make	make	VERB
fcis-20343	90	31	the	the	DET
fcis-20343	90	32	detection	detection	NOUN
fcis-20343	90	33	network	network	NOUN
fcis-20343	90	34	pay	pay	VERB
fcis-20343	90	35	attention	attention	NOUN
fcis-20343	90	36	to	to	ADP
fcis-20343	90	37	more	more	ADJ
fcis-20343	90	38	target	target	NOUN
fcis-20343	90	39	feature	feature	NOUN
fcis-20343	90	40	information	information	NOUN
fcis-20343	90	41	,	,	PUNCT
fcis-20343	90	42	suppress	suppress	VERB
fcis-20343	90	43	complex	complex	ADJ
fcis-20343	90	44	background	background	NOUN
fcis-20343	90	45	features	feature	NOUN
fcis-20343	90	46	,	,	PUNCT
fcis-20343	90	47	and	and	CCONJ
fcis-20343	90	48	improve	improve	VERB
fcis-20343	90	49	the	the	DET
fcis-20343	90	50	robustness	robustness	NOUN
fcis-20343	90	51	of	of	ADP
fcis-20343	90	52	the	the	DET
fcis-20343	90	53	network	network	NOUN
fcis-20343	90	54	.	.	PUNCT
fcis-20343	91	1	and	and	CCONJ
fcis-20343	91	2	it	it	PRON
fcis-20343	91	3	does	do	AUX
fcis-20343	91	4	not	not	PART
fcis-20343	91	5	add	add	VERB
fcis-20343	91	6	additional	additional	ADJ
fcis-20343	91	7	computing	computing	NOUN
fcis-20343	91	8	to	to	ADP
fcis-20343	91	9	the	the	DET
fcis-20343	91	10	network	network	NOUN
fcis-20343	91	11	.	.	PUNCT
fcis-20343	92	1	figure	figure	NOUN
fcis-20343	92	2	5	5	NUM
fcis-20343	92	3	shows	show	VERB
fcis-20343	92	4	the	the	DET
fcis-20343	92	5	structure	structure	NOUN
fcis-20343	92	6	of	of	ADP
fcis-20343	92	7	the	the	DET
fcis-20343	92	8	se	se	PROPN
fcis-20343	92	9	attention	attention	NOUN
fcis-20343	92	10	mechanism	mechanism	NOUN
fcis-20343	92	11	.	.	PUNCT
fcis-20343	92	12	  	  	SPACE
fcis-20343	93	1	figure	figure	NOUN
fcis-20343	93	2	5	5	NUM
fcis-20343	93	3	.	.	PUNCT
fcis-20343	93	4	se	se	PROPN
fcis-20343	93	5	structure	structure	PROPN
fcis-20343	93	6	diagram	diagram	NOUN
fcis-20343	93	7	in	in	ADP
fcis-20343	93	8	the	the	DET
fcis-20343	93	9	figure	figure	NOUN
fcis-20343	93	10	5	5	NUM
fcis-20343	93	11	,	,	PUNCT
fcis-20343	93	12	x	x	X
fcis-20343	93	13	is	be	AUX
fcis-20343	93	14	the	the	DET
fcis-20343	93	15	original	original	ADJ
fcis-20343	93	16	input	input	NOUN
fcis-20343	93	17	data	datum	NOUN
fcis-20343	93	18	,	,	PUNCT
fcis-20343	93	19	h	h	NOUN
fcis-20343	93	20	’	'	PUNCT
fcis-20343	93	21	is	be	AUX
fcis-20343	93	22	the	the	DET
fcis-20343	93	23	height	height	NOUN
fcis-20343	93	24	of	of	ADP
fcis-20343	93	25	the	the	DET
fcis-20343	93	26	original	original	ADJ
fcis-20343	93	27	input	input	NOUN
fcis-20343	93	28	space	space	NOUN
fcis-20343	93	29	,	,	PUNCT
fcis-20343	93	30	w	w	NOUN
fcis-20343	93	31	’	'	PUNCT
fcis-20343	93	32	is	be	AUX
fcis-20343	93	33	the	the	DET
fcis-20343	93	34	width	width	NOUN
fcis-20343	93	35	of	of	ADP
fcis-20343	93	36	the	the	DET
fcis-20343	93	37	original	original	ADJ
fcis-20343	93	38	input	input	NOUN
fcis-20343	93	39	space	space	NOUN
fcis-20343	93	40	,	,	PUNCT
fcis-20343	93	41	c	c	X
fcis-20343	93	42	’	'	PUNCT
fcis-20343	93	43	is	be	AUX
fcis-20343	93	44	the	the	DET
fcis-20343	93	45	number	number	NOUN
fcis-20343	93	46	of	of	ADP
fcis-20343	93	47	original	original	ADJ
fcis-20343	93	48	input	input	NOUN
fcis-20343	93	49	channels	channel	NOUN
fcis-20343	93	50	,	,	PUNCT
fcis-20343	93	51	u	u	NOUN
fcis-20343	93	52	is	be	AUX
fcis-20343	93	53	the	the	DET
fcis-20343	93	54	feature	feature	NOUN
fcis-20343	93	55	map	map	NOUN
fcis-20343	93	56	after	after	ADP
fcis-20343	93	57	the	the	DET
fcis-20343	93	58	convolution	convolution	NOUN
fcis-20343	93	59	operation	operation	NOUN
fcis-20343	93	60	,	,	PUNCT
fcis-20343	93	61	h	h	PROPN
fcis-20343	93	62	is	be	AUX
fcis-20343	93	63	the	the	DET
fcis-20343	93	64	space	space	NOUN
fcis-20343	93	65	height	height	NOUN
fcis-20343	93	66	after	after	ADP
fcis-20343	93	67	the	the	DET
fcis-20343	93	68	convolution	convolution	NOUN
fcis-20343	93	69	operation	operation	NOUN
fcis-20343	93	70	,	,	PUNCT
fcis-20343	93	71	w	w	PROPN
fcis-20343	93	72	is	be	AUX
fcis-20343	93	73	the	the	DET
fcis-20343	93	74	space	space	NOUN
fcis-20343	93	75	width	width	NOUN
fcis-20343	93	76	after	after	ADP
fcis-20343	93	77	the	the	DET
fcis-20343	93	78	convolution	convolution	NOUN
fcis-20343	93	79	operation	operation	NOUN
fcis-20343	93	80	,	,	PUNCT
fcis-20343	93	81	c	c	PROPN
fcis-20343	93	82	is	be	AUX
fcis-20343	93	83	the	the	DET
fcis-20343	93	84	number	number	NOUN
fcis-20343	93	85	of	of	ADP
fcis-20343	93	86	channels	channel	NOUN
fcis-20343	93	87	after	after	ADP
fcis-20343	93	88	the	the	DET
fcis-20343	93	89	convolution	convolution	NOUN
fcis-20343	93	90	operation	operation	NOUN
fcis-20343	93	91	,	,	PUNCT
fcis-20343	93	92	and	and	CCONJ
fcis-20343	93	93	x	x	X
fcis-20343	93	94	~	~	PUNCT
fcis-20343	93	95	is	be	AUX
fcis-20343	93	96	the	the	DET
fcis-20343	93	97	feature	feature	NOUN
fcis-20343	93	98	map	map	NOUN
fcis-20343	93	99	with	with	ADP
fcis-20343	93	100	the	the	DET
fcis-20343	93	101	final	final	ADJ
fcis-20343	93	102	feature	feature	NOUN
fcis-20343	93	103	enhancement	enhancement	NOUN
fcis-20343	93	104	.	.	PUNCT
fcis-20343	94	1	as	as	SCONJ
fcis-20343	94	2	shown	show	VERB
fcis-20343	94	3	in	in	ADP
fcis-20343	94	4	the	the	DET
fcis-20343	94	5	figure	figure	NOUN
fcis-20343	94	6	,	,	PUNCT
fcis-20343	94	7	the	the	DET
fcis-20343	94	8	se	se	PROPN
fcis-20343	94	9	attention	attention	NOUN
fcis-20343	94	10	mechanism	mechanism	NOUN
fcis-20343	94	11	works	work	VERB
fcis-20343	94	12	as	as	SCONJ
fcis-20343	94	13	follows	follow	VERB
fcis-20343	94	14	:	:	PUNCT
fcis-20343	94	15	in	in	ADP
fcis-20343	94	16	the	the	DET
fcis-20343	94	17	first	first	ADJ
fcis-20343	94	18	step	step	NOUN
fcis-20343	94	19	,	,	PUNCT
fcis-20343	94	20	the	the	DET
fcis-20343	94	21	original	original	ADJ
fcis-20343	94	22	feature	feature	NOUN
fcis-20343	94	23	map	map	NOUN
fcis-20343	94	24	x	x	PUNCT
fcis-20343	94	25	of	of	ADP
fcis-20343	94	26	size	size	NOUN
fcis-20343	94	27	h’×w’×c	h’×w’×c	PROPN
fcis-20343	94	28	’	'	PUNCT
fcis-20343	94	29	is	be	AUX
fcis-20343	94	30	input	input	NOUN
fcis-20343	94	31	,	,	PUNCT
fcis-20343	94	32	and	and	CCONJ
fcis-20343	94	33	the	the	DET
fcis-20343	94	34	feature	feature	NOUN
fcis-20343	94	35	map	map	NOUN
fcis-20343	94	36	u	u	NOUN
fcis-20343	94	37	of	of	ADP
fcis-20343	94	38	h×w×c	h×w×c	X
fcis-20343	94	39	is	be	AUX
fcis-20343	94	40	generated	generate	VERB
fcis-20343	94	41	after	after	ADP
fcis-20343	94	42	ftr	ftr	PROPN
fcis-20343	94	43	operation	operation	PROPN
fcis-20343	94	44	;	;	PUNCT
fcis-20343	94	45	in	in	ADP
fcis-20343	94	46	the	the	DET
fcis-20343	94	47	second	second	ADJ
fcis-20343	94	48	step	step	NOUN
fcis-20343	94	49	,	,	PUNCT
fcis-20343	94	50	the	the	DET
fcis-20343	94	51	squeeze	squeeze	NOUN
fcis-20343	94	52	operation	operation	NOUN
fcis-20343	94	53	is	be	AUX
fcis-20343	94	54	performed	perform	VERB
fcis-20343	94	55	on	on	ADP
fcis-20343	94	56	fsq	fsq	PROPN
fcis-20343	94	57	(	(	PUNCT
fcis-20343	94	58	·	·	PUNCT
fcis-20343	94	59	)	)	PUNCT
fcis-20343	94	60	in	in	ADP
fcis-20343	94	61	the	the	DET
fcis-20343	94	62	corresponding	corresponding	ADJ
fcis-20343	94	63	graph	graph	NOUN
fcis-20343	94	64	,	,	PUNCT
fcis-20343	94	65	and	and	CCONJ
fcis-20343	94	66	the	the	DET
fcis-20343	94	67	feature	feature	NOUN
fcis-20343	94	68	map	map	NOUN
fcis-20343	94	69	u	u	NOUN
fcis-20343	94	70	is	be	AUX
fcis-20343	94	71	globally	globally	ADV
fcis-20343	94	72	averaged	average	VERB
fcis-20343	94	73	pooled	pool	VERB
fcis-20343	94	74	to	to	PART
fcis-20343	94	75	generate	generate	VERB
fcis-20343	94	76	a	a	DET
fcis-20343	94	77	global	global	ADJ
fcis-20343	94	78	feature	feature	NOUN
fcis-20343	94	79	of	of	ADP
fcis-20343	94	80	1×1×c	1×1×c	NUM
fcis-20343	94	81	.	.	PUNCT
fcis-20343	95	1	the	the	DET
fcis-20343	95	2	corresponding	correspond	VERB
fcis-20343	95	3	formula	formula	NOUN
fcis-20343	95	4	is	be	AUX
fcis-20343	95	5	as	as	SCONJ
fcis-20343	95	6	39	39	NUM
fcis-20343	95	7	follows	follow	VERB
fcis-20343	95	8	:	:	PUNCT
fcis-20343	95	9			PRON
fcis-20343	95	10			NOUN
fcis-20343	95	11			X
fcis-20343	95	12			NUM
fcis-20343	95	13	h	h	NOUN
fcis-20343	96	1	i	i	PRON
fcis-20343	96	2	w	w	PROPN
fcis-20343	96	3	j	j	PROPN
fcis-20343	96	4	sq	sq	PROPN
fcis-20343	96	5	u(i	u(i	PROPN
fcis-20343	96	6	,	,	PUNCT
fcis-20343	96	7	j	j	NOUN
fcis-20343	96	8	)	)	PUNCT
fcis-20343	96	9	wh	wh	NOUN
fcis-20343	96	10	(	(	PUNCT
fcis-20343	96	11	u)fz	u)fz	PROPN
fcis-20343	96	12	1	1	NUM
fcis-20343	96	13	1	1	NUM
fcis-20343	96	14	1	1	NUM
fcis-20343	96	15	(	(	PUNCT
fcis-20343	96	16	1	1	NUM
fcis-20343	96	17	)	)	PUNCT
fcis-20343	96	18	where	where	SCONJ
fcis-20343	96	19	z	z	NOUN
fcis-20343	96	20	is	be	AUX
fcis-20343	96	21	the	the	DET
fcis-20343	96	22	global	global	ADJ
fcis-20343	96	23	feature	feature	NOUN
fcis-20343	96	24	after	after	ADP
fcis-20343	96	25	pooling	pool	VERB
fcis-20343	96	26	,	,	PUNCT
fcis-20343	96	27	i	i	PRON
fcis-20343	96	28	and	and	CCONJ
fcis-20343	96	29	j	j	PROPN
fcis-20343	96	30	are	be	AUX
fcis-20343	96	31	the	the	DET
fcis-20343	96	32	feature	feature	NOUN
fcis-20343	96	33	map	map	NOUN
fcis-20343	96	34	size	size	NOUN
fcis-20343	96	35	variables	variable	NOUN
fcis-20343	96	36	.	.	PUNCT
fcis-20343	97	1	in	in	ADP
fcis-20343	97	2	the	the	DET
fcis-20343	97	3	third	third	ADJ
fcis-20343	97	4	step	step	NOUN
fcis-20343	97	5	,	,	PUNCT
fcis-20343	97	6	excitation	excitation	NOUN
fcis-20343	97	7	operation	operation	NOUN
fcis-20343	97	8	is	be	AUX
fcis-20343	97	9	carried	carry	VERB
fcis-20343	97	10	out	out	ADP
fcis-20343	97	11	,	,	PUNCT
fcis-20343	97	12	corresponding	correspond	VERB
fcis-20343	97	13	to	to	ADP
fcis-20343	97	14	fex(·,w	fex(·,w	NOUN
fcis-20343	97	15	)	)	PUNCT
fcis-20343	97	16	in	in	ADP
fcis-20343	97	17	the	the	DET
fcis-20343	97	18	figure	figure	NOUN
fcis-20343	97	19	,	,	PUNCT
fcis-20343	97	20	to	to	PART
fcis-20343	97	21	obtain	obtain	VERB
fcis-20343	97	22	the	the	DET
fcis-20343	97	23	correlation	correlation	NOUN
fcis-20343	97	24	of	of	ADP
fcis-20343	97	25	feature	feature	NOUN
fcis-20343	97	26	channels	channel	NOUN
fcis-20343	97	27	,	,	PUNCT
fcis-20343	97	28	retain	retain	VERB
fcis-20343	97	29	the	the	DET
fcis-20343	97	30	channels	channel	NOUN
fcis-20343	97	31	with	with	ADP
fcis-20343	97	32	large	large	ADJ
fcis-20343	97	33	feature	feature	NOUN
fcis-20343	97	34	information	information	NOUN
fcis-20343	97	35	,	,	PUNCT
fcis-20343	97	36	and	and	CCONJ
fcis-20343	97	37	suppress	suppress	VERB
fcis-20343	97	38	the	the	DET
fcis-20343	97	39	channels	channel	NOUN
fcis-20343	97	40	with	with	ADP
fcis-20343	97	41	small	small	ADJ
fcis-20343	97	42	feature	feature	NOUN
fcis-20343	97	43	information	information	NOUN
fcis-20343	97	44	.	.	PUNCT
fcis-20343	98	1	so	so	ADV
fcis-20343	98	2	as	as	SCONJ
fcis-20343	98	3	to	to	PART
fcis-20343	98	4	reduce	reduce	VERB
fcis-20343	98	5	the	the	DET
fcis-20343	98	6	amount	amount	NOUN
fcis-20343	98	7	of	of	ADP
fcis-20343	98	8	calculation	calculation	NOUN
fcis-20343	98	9	and	and	CCONJ
fcis-20343	98	10	improve	improve	VERB
fcis-20343	98	11	the	the	DET
fcis-20343	98	12	expression	expression	NOUN
fcis-20343	98	13	ability	ability	NOUN
fcis-20343	98	14	of	of	ADP
fcis-20343	98	15	feature	feature	NOUN
fcis-20343	98	16	information	information	NOUN
fcis-20343	98	17	,	,	PUNCT
fcis-20343	98	18	the	the	DET
fcis-20343	98	19	corresponding	corresponding	ADJ
fcis-20343	98	20	formula	formula	NOUN
fcis-20343	98	21	is	be	AUX
fcis-20343	98	22	as	as	SCONJ
fcis-20343	98	23	follows	follow	VERB
fcis-20343	98	24	:	:	PUNCT
fcis-20343	98	25	z))δ(wσ(wσ(g(z	z))δ(wσ(wσ(g(z	NOUN
fcis-20343	98	26	,	,	PUNCT
fcis-20343	98	27	w))(z	w))(z	X
fcis-20343	98	28	,	,	PUNCT
fcis-20343	98	29	w)fs	w)fs	PROPN
fcis-20343	98	30	ex	ex	ADJ
fcis-20343	98	31	12	12	NUM
fcis-20343	98	32	(	(	PUNCT
fcis-20343	98	33	2	2	NUM
fcis-20343	98	34	)	)	PUNCT
fcis-20343	98	35	where	where	SCONJ
fcis-20343	98	36	s	s	NOUN
fcis-20343	98	37	is	be	AUX
fcis-20343	98	38	the	the	DET
fcis-20343	98	39	weight	weight	NOUN
fcis-20343	98	40	normalization	normalization	NOUN
fcis-20343	98	41	vector	vector	NOUN
fcis-20343	98	42	,	,	PUNCT
fcis-20343	98	43	w	w	PROPN
fcis-20343	98	44	is	be	AUX
fcis-20343	98	45	the	the	DET
fcis-20343	98	46	weight	weight	NOUN
fcis-20343	98	47	variable	variable	NOUN
fcis-20343	98	48	,	,	PUNCT
fcis-20343	98	49	w1	w1	NOUN
fcis-20343	98	50	and	and	CCONJ
fcis-20343	98	51	w2	w2	NOUN
fcis-20343	98	52	are	be	AUX
fcis-20343	98	53	the	the	DET
fcis-20343	98	54	fully	fully	ADV
fcis-20343	98	55	connected	connect	VERB
fcis-20343	98	56	layer	layer	NOUN
fcis-20343	98	57	weights	weight	NOUN
fcis-20343	98	58	,	,	PUNCT
fcis-20343	98	59	σ	σ	PROPN
fcis-20343	98	60	and	and	CCONJ
fcis-20343	98	61	δ	δ	PROPN
fcis-20343	98	62	represent	represent	VERB
fcis-20343	98	63	the	the	DET
fcis-20343	98	64	relu	relu	NOUN
fcis-20343	98	65	activation	activation	NOUN
fcis-20343	98	66	function	function	NOUN
fcis-20343	98	67	and	and	CCONJ
fcis-20343	98	68	sigmoid	sigmoid	NOUN
fcis-20343	98	69	activation	activation	NOUN
fcis-20343	98	70	function	function	NOUN
fcis-20343	98	71	,	,	PUNCT
fcis-20343	98	72	respectively	respectively	ADV
fcis-20343	98	73	.	.	PUNCT
fcis-20343	99	1	in	in	ADP
fcis-20343	99	2	the	the	DET
fcis-20343	99	3	fourth	fourth	ADJ
fcis-20343	99	4	step	step	NOUN
fcis-20343	99	5	,	,	PUNCT
fcis-20343	99	6	the	the	DET
fcis-20343	99	7	weight	weight	NOUN
fcis-20343	99	8	normalization	normalization	NOUN
fcis-20343	99	9	vector	vector	NOUN
fcis-20343	99	10	s	s	PART
fcis-20343	99	11	and	and	CCONJ
fcis-20343	99	12	feature	feature	NOUN
fcis-20343	99	13	map	map	NOUN
fcis-20343	99	14	u	u	NOUN
fcis-20343	99	15	are	be	AUX
fcis-20343	99	16	assigned	assign	VERB
fcis-20343	99	17	weights	weight	NOUN
fcis-20343	99	18	,	,	PUNCT
fcis-20343	99	19	corresponding	correspond	VERB
fcis-20343	99	20	to	to	ADP
fcis-20343	99	21	fscale	fscale	PROPN
fcis-20343	99	22	(	(	PUNCT
fcis-20343	99	23	·	·	PUNCT
fcis-20343	99	24	)	)	PUNCT
fcis-20343	99	25	in	in	ADP
fcis-20343	99	26	the	the	DET
fcis-20343	99	27	figure	figure	NOUN
fcis-20343	99	28	,	,	PUNCT
fcis-20343	99	29	and	and	CCONJ
fcis-20343	99	30	the	the	DET
fcis-20343	99	31	feature	feature	NOUN
fcis-20343	99	32	map	map	NOUN
fcis-20343	99	33	x	x	PUNCT
fcis-20343	99	34	~	~	PUNCT
fcis-20343	99	35	that	that	PRON
fcis-20343	99	36	finally	finally	ADV
fcis-20343	99	37	completes	complete	VERB
fcis-20343	99	38	the	the	DET
fcis-20343	99	39	se	se	PROPN
fcis-20343	99	40	attention	attention	NOUN
fcis-20343	99	41	weight	weight	NOUN
fcis-20343	99	42	assignment	assignment	NOUN
fcis-20343	99	43	is	be	AUX
fcis-20343	99	44	obtained	obtain	VERB
fcis-20343	99	45	.	.	PUNCT
fcis-20343	100	1	the	the	DET
fcis-20343	100	2	corresponding	correspond	VERB
fcis-20343	100	3	formula	formula	NOUN
fcis-20343	100	4	is	be	AUX
fcis-20343	100	5	as	as	SCONJ
fcis-20343	100	6	follows	follow	VERB
fcis-20343	100	7	:	:	PUNCT
fcis-20343	100	8	su（u	su（u	ADP
fcis-20343	100	9	,	,	PUNCT
fcis-20343	100	10	s）fx	s）fx	NOUN
fcis-20343	100	11	scale	scale	NOUN
fcis-20343	100	12	~	~	PUNCT
fcis-20343	100	13	(	(	PUNCT
fcis-20343	100	14	3	3	NUM
fcis-20343	100	15	)	)	PUNCT
fcis-20343	100	16	through	through	ADP
fcis-20343	100	17	the	the	DET
fcis-20343	100	18	structure	structure	NOUN
fcis-20343	100	19	diagram	diagram	NOUN
fcis-20343	100	20	of	of	ADP
fcis-20343	100	21	se	se	X
fcis-20343	100	22	attention	attention	NOUN
fcis-20343	100	23	mechanism	mechanism	NOUN
fcis-20343	100	24	and	and	CCONJ
fcis-20343	100	25	the	the	DET
fcis-20343	100	26	corresponding	corresponding	ADJ
fcis-20343	100	27	relevant	relevant	ADJ
fcis-20343	100	28	formula	formula	NOUN
fcis-20343	100	29	,	,	PUNCT
fcis-20343	100	30	it	it	PRON
fcis-20343	100	31	is	be	AUX
fcis-20343	100	32	easy	easy	ADJ
fcis-20343	100	33	to	to	PART
fcis-20343	100	34	see	see	VERB
fcis-20343	100	35	that	that	SCONJ
fcis-20343	100	36	the	the	DET
fcis-20343	100	37	size	size	NOUN
fcis-20343	100	38	of	of	ADP
fcis-20343	100	39	the	the	DET
fcis-20343	100	40	feature	feature	NOUN
fcis-20343	100	41	map	map	NOUN
fcis-20343	100	42	is	be	AUX
fcis-20343	100	43	not	not	PART
fcis-20343	100	44	changed	change	VERB
fcis-20343	100	45	by	by	ADP
fcis-20343	100	46	the	the	DET
fcis-20343	100	47	assignment	assignment	NOUN
fcis-20343	100	48	operation	operation	NOUN
fcis-20343	100	49	between	between	ADP
fcis-20343	100	50	the	the	DET
fcis-20343	100	51	fourth	fourth	ADJ
fcis-20343	100	52	step	step	NOUN
fcis-20343	100	53	and	and	CCONJ
fcis-20343	100	54	the	the	DET
fcis-20343	100	55	third	third	ADJ
fcis-20343	100	56	step	step	NOUN
fcis-20343	100	57	of	of	ADP
fcis-20343	100	58	the	the	DET
fcis-20343	100	59	process	process	NOUN
fcis-20343	100	60	realized	realize	VERB
fcis-20343	100	61	by	by	ADP
fcis-20343	100	62	the	the	DET
fcis-20343	100	63	attention	attention	NOUN
fcis-20343	100	64	mechanism	mechanism	NOUN
fcis-20343	100	65	.	.	PUNCT
fcis-20343	101	1	this	this	PRON
fcis-20343	101	2	makes	make	VERB
fcis-20343	101	3	the	the	DET
fcis-20343	101	4	se	se	ADJ
fcis-20343	101	5	attention	attention	NOUN
fcis-20343	101	6	mechanism	mechanism	NOUN
fcis-20343	101	7	both	both	CCONJ
fcis-20343	101	8	high	high	ADJ
fcis-20343	101	9	performance	performance	NOUN
fcis-20343	101	10	and	and	CCONJ
fcis-20343	101	11	efficiency	efficiency	NOUN
fcis-20343	101	12	,	,	PUNCT
fcis-20343	101	13	and	and	CCONJ
fcis-20343	101	14	also	also	ADV
fcis-20343	101	15	makes	make	VERB
fcis-20343	101	16	it	it	PRON
fcis-20343	101	17	widely	widely	ADV
fcis-20343	101	18	used	use	VERB
fcis-20343	101	19	in	in	ADP
fcis-20343	101	20	the	the	DET
fcis-20343	101	21	field	field	NOUN
fcis-20343	101	22	of	of	ADP
fcis-20343	101	23	object	object	NOUN
fcis-20343	101	24	detection	detection	NOUN
fcis-20343	101	25	.	.	PUNCT
fcis-20343	102	1	3.5	3.5	NUM
fcis-20343	102	2	.	.	PUNCT
fcis-20343	103	1	loss	loss	NOUN
fcis-20343	103	2	function	function	NOUN
fcis-20343	103	3	improvement	improvement	NOUN
fcis-20343	103	4	the	the	DET
fcis-20343	103	5	loss	loss	NOUN
fcis-20343	103	6	function	function	NOUN
fcis-20343	103	7	adopted	adopt	VERB
fcis-20343	103	8	by	by	ADP
fcis-20343	103	9	the	the	DET
fcis-20343	103	10	original	original	ADJ
fcis-20343	103	11	yolov7	yolov7	ADJ
fcis-20343	103	12	-	-	PUNCT
fcis-20343	103	13	tiny	tiny	ADJ
fcis-20343	103	14	network	network	NOUN
fcis-20343	103	15	includes	include	VERB
fcis-20343	103	16	confidence	confidence	NOUN
fcis-20343	103	17	loss	loss	NOUN
fcis-20343	103	18	,	,	PUNCT
fcis-20343	103	19	classification	classification	NOUN
fcis-20343	103	20	loss	loss	NOUN
fcis-20343	103	21	and	and	CCONJ
fcis-20343	103	22	regression	regression	NOUN
fcis-20343	103	23	loss	loss	NOUN
fcis-20343	103	24	of	of	ADP
fcis-20343	103	25	bounding	bounding	NOUN
fcis-20343	103	26	boxes	box	NOUN
fcis-20343	103	27	.	.	PUNCT
fcis-20343	104	1	the	the	DET
fcis-20343	104	2	function	function	NOUN
fcis-20343	104	3	used	use	VERB
fcis-20343	104	4	for	for	ADP
fcis-20343	104	5	the	the	DET
fcis-20343	104	6	bounding	bounding	NOUN
fcis-20343	104	7	box	box	NOUN
fcis-20343	104	8	regression	regression	NOUN
fcis-20343	104	9	loss	loss	NOUN
fcis-20343	104	10	is	be	AUX
fcis-20343	104	11	the	the	DET
fcis-20343	104	12	ciou	ciou	NOUN
fcis-20343	104	13	loss	loss	NOUN
fcis-20343	104	14	function	function	NOUN
fcis-20343	104	15	,	,	PUNCT
fcis-20343	104	16	which	which	PRON
fcis-20343	104	17	was	be	AUX
fcis-20343	104	18	proposed	propose	VERB
fcis-20343	104	19	by	by	ADP
fcis-20343	104	20	zheng[34	zheng[34	PROPN
fcis-20343	104	21	]	]	PUNCT
fcis-20343	104	22	et	et	PROPN
fcis-20343	104	23	al	al	PROPN
fcis-20343	104	24	.	.	PUNCT
fcis-20343	105	1	this	this	DET
fcis-20343	105	2	function	function	NOUN
fcis-20343	105	3	takes	take	VERB
fcis-20343	105	4	into	into	ADP
fcis-20343	105	5	account	account	NOUN
fcis-20343	105	6	the	the	DET
fcis-20343	105	7	overlap	overlap	NOUN
fcis-20343	105	8	area	area	NOUN
fcis-20343	105	9	between	between	ADP
fcis-20343	105	10	the	the	DET
fcis-20343	105	11	prediction	prediction	NOUN
fcis-20343	105	12	box	box	NOUN
fcis-20343	105	13	and	and	CCONJ
fcis-20343	105	14	the	the	DET
fcis-20343	105	15	truth	truth	NOUN
fcis-20343	105	16	box	box	NOUN
fcis-20343	105	17	,	,	PUNCT
fcis-20343	105	18	the	the	DET
fcis-20343	105	19	distance	distance	NOUN
fcis-20343	105	20	between	between	ADP
fcis-20343	105	21	the	the	DET
fcis-20343	105	22	center	center	NOUN
fcis-20343	105	23	points	point	NOUN
fcis-20343	105	24	,	,	PUNCT
fcis-20343	105	25	and	and	CCONJ
fcis-20343	105	26	the	the	DET
fcis-20343	105	27	aspect	aspect	NOUN
fcis-20343	105	28	ratio	ratio	NOUN
fcis-20343	105	29	,	,	PUNCT
fcis-20343	105	30	and	and	CCONJ
fcis-20343	105	31	is	be	AUX
fcis-20343	105	32	widely	widely	ADV
fcis-20343	105	33	used	use	VERB
fcis-20343	105	34	in	in	ADP
fcis-20343	105	35	the	the	DET
fcis-20343	105	36	current	current	ADJ
fcis-20343	105	37	mainstream	mainstream	NOUN
fcis-20343	105	38	object	object	NOUN
fcis-20343	105	39	detection	detection	NOUN
fcis-20343	105	40	algorithms	algorithm	NOUN
fcis-20343	105	41	.	.	PUNCT
fcis-20343	106	1	however	however	ADV
fcis-20343	106	2	,	,	PUNCT
fcis-20343	106	3	in	in	ADP
fcis-20343	106	4	the	the	DET
fcis-20343	106	5	field	field	NOUN
fcis-20343	106	6	of	of	ADP
fcis-20343	106	7	aerial	aerial	ADJ
fcis-20343	106	8	image	image	NOUN
fcis-20343	106	9	detection	detection	NOUN
fcis-20343	106	10	,	,	PUNCT
fcis-20343	106	11	the	the	DET
fcis-20343	106	12	target	target	NOUN
fcis-20343	106	13	to	to	PART
fcis-20343	106	14	be	be	AUX
fcis-20343	106	15	detected	detect	VERB
fcis-20343	106	16	accounts	account	NOUN
fcis-20343	106	17	for	for	ADP
fcis-20343	106	18	a	a	DET
fcis-20343	106	19	small	small	ADJ
fcis-20343	106	20	number	number	NOUN
fcis-20343	106	21	of	of	ADP
fcis-20343	106	22	pixels	pixel	NOUN
fcis-20343	106	23	in	in	ADP
fcis-20343	106	24	the	the	DET
fcis-20343	106	25	aerial	aerial	ADJ
fcis-20343	106	26	image	image	NOUN
fcis-20343	106	27	,	,	PUNCT
fcis-20343	106	28	which	which	PRON
fcis-20343	106	29	leads	lead	VERB
fcis-20343	106	30	to	to	ADP
fcis-20343	106	31	the	the	DET
fcis-20343	106	32	fact	fact	NOUN
fcis-20343	106	33	that	that	SCONJ
fcis-20343	106	34	the	the	DET
fcis-20343	106	35	number	number	NOUN
fcis-20343	106	36	of	of	ADP
fcis-20343	106	37	high	high	ADJ
fcis-20343	106	38	-	-	PUNCT
fcis-20343	106	39	quality	quality	NOUN
fcis-20343	106	40	prediction	prediction	NOUN
fcis-20343	106	41	boxes	box	NOUN
fcis-20343	106	42	generated	generate	VERB
fcis-20343	106	43	by	by	ADP
fcis-20343	106	44	the	the	DET
fcis-20343	106	45	detection	detection	NOUN
fcis-20343	106	46	network	network	NOUN
fcis-20343	106	47	is	be	AUX
fcis-20343	106	48	much	much	ADV
fcis-20343	106	49	less	less	ADJ
fcis-20343	106	50	than	than	ADP
fcis-20343	106	51	that	that	PRON
fcis-20343	106	52	of	of	ADP
fcis-20343	106	53	low	low	ADJ
fcis-20343	106	54	-	-	PUNCT
fcis-20343	106	55	quality	quality	NOUN
fcis-20343	106	56	prediction	prediction	NOUN
fcis-20343	106	57	boxes	box	NOUN
fcis-20343	106	58	in	in	ADP
fcis-20343	106	59	the	the	DET
fcis-20343	106	60	regression	regression	NOUN
fcis-20343	106	61	process	process	NOUN
fcis-20343	106	62	of	of	ADP
fcis-20343	106	63	the	the	DET
fcis-20343	106	64	prediction	prediction	NOUN
fcis-20343	106	65	box	box	NOUN
fcis-20343	106	66	,	,	PUNCT
fcis-20343	106	67	and	and	CCONJ
fcis-20343	106	68	when	when	SCONJ
fcis-20343	106	69	the	the	DET
fcis-20343	106	70	aspect	aspect	NOUN
fcis-20343	106	71	ratio	ratio	NOUN
fcis-20343	106	72	of	of	ADP
fcis-20343	106	73	the	the	DET
fcis-20343	106	74	prediction	prediction	NOUN
fcis-20343	106	75	box	box	NOUN
fcis-20343	106	76	and	and	CCONJ
fcis-20343	106	77	the	the	DET
fcis-20343	106	78	truth	truth	NOUN
fcis-20343	106	79	box	box	NOUN
fcis-20343	106	80	is	be	AUX
fcis-20343	106	81	the	the	DET
fcis-20343	106	82	same	same	ADJ
fcis-20343	106	83	,	,	PUNCT
fcis-20343	106	84	the	the	DET
fcis-20343	106	85	aspect	aspect	NOUN
fcis-20343	106	86	ratio	ratio	NOUN
fcis-20343	106	87	penalty	penalty	NOUN
fcis-20343	106	88	term	term	NOUN
fcis-20343	106	89	in	in	ADP
fcis-20343	106	90	the	the	DET
fcis-20343	106	91	loss	loss	NOUN
fcis-20343	106	92	function	function	NOUN
fcis-20343	106	93	will	will	AUX
fcis-20343	106	94	not	not	PART
fcis-20343	106	95	play	play	VERB
fcis-20343	106	96	a	a	DET
fcis-20343	106	97	role	role	NOUN
fcis-20343	106	98	.	.	PUNCT
fcis-20343	107	1	this	this	PRON
fcis-20343	107	2	affects	affect	VERB
fcis-20343	107	3	the	the	DET
fcis-20343	107	4	training	training	NOUN
fcis-20343	107	5	of	of	ADP
fcis-20343	107	6	the	the	DET
fcis-20343	107	7	network	network	NOUN
fcis-20343	107	8	.	.	PUNCT
fcis-20343	108	1	in	in	ADP
fcis-20343	108	2	order	order	NOUN
fcis-20343	108	3	to	to	PART
fcis-20343	108	4	make	make	VERB
fcis-20343	108	5	the	the	DET
fcis-20343	108	6	network	network	NOUN
fcis-20343	108	7	better	well	ADV
fcis-20343	108	8	solve	solve	VERB
fcis-20343	108	9	the	the	DET
fcis-20343	108	10	matching	matching	NOUN
fcis-20343	108	11	problem	problem	NOUN
fcis-20343	108	12	between	between	ADP
fcis-20343	108	13	the	the	DET
fcis-20343	108	14	prediction	prediction	NOUN
fcis-20343	108	15	box	box	NOUN
fcis-20343	108	16	and	and	CCONJ
fcis-20343	108	17	the	the	DET
fcis-20343	108	18	truth	truth	NOUN
fcis-20343	108	19	box	box	NOUN
fcis-20343	108	20	in	in	ADP
fcis-20343	108	21	the	the	DET
fcis-20343	108	22	training	training	NOUN
fcis-20343	108	23	,	,	PUNCT
fcis-20343	108	24	this	this	DET
fcis-20343	108	25	paper	paper	NOUN
fcis-20343	108	26	chooses	choose	VERB
fcis-20343	108	27	the	the	DET
fcis-20343	108	28	siou	siou	NOUN
fcis-20343	108	29	loss	loss	NOUN
fcis-20343	108	30	function	function	NOUN
fcis-20343	108	31	as	as	ADP
fcis-20343	108	32	the	the	DET
fcis-20343	108	33	bounding	bounding	NOUN
fcis-20343	108	34	box	box	NOUN
fcis-20343	108	35	regression	regression	NOUN
fcis-20343	108	36	loss	loss	NOUN
fcis-20343	108	37	function	function	NOUN
fcis-20343	108	38	of	of	ADP
fcis-20343	108	39	the	the	DET
fcis-20343	108	40	detection	detection	NOUN
fcis-20343	108	41	network	network	NOUN
fcis-20343	108	42	.	.	PUNCT
fcis-20343	109	1	the	the	DET
fcis-20343	109	2	siou	siou	NOUN
fcis-20343	109	3	loss	loss	NOUN
fcis-20343	109	4	function	function	NOUN
fcis-20343	109	5	[	[	X
fcis-20343	109	6	35	35	NUM
fcis-20343	109	7	]	]	PUNCT
fcis-20343	109	8	redefines	redefine	VERB
fcis-20343	109	9	the	the	DET
fcis-20343	109	10	penalty	penalty	NOUN
fcis-20343	109	11	metric	metric	NOUN
fcis-20343	109	12	based	base	VERB
fcis-20343	109	13	on	on	ADP
fcis-20343	109	14	the	the	DET
fcis-20343	109	15	ciou	ciou	NOUN
fcis-20343	109	16	loss	loss	NOUN
fcis-20343	109	17	function	function	NOUN
fcis-20343	109	18	and	and	CCONJ
fcis-20343	109	19	considers	consider	VERB
fcis-20343	109	20	the	the	DET
fcis-20343	109	21	vector	vector	NOUN
fcis-20343	109	22	angle	angle	NOUN
fcis-20343	109	23	between	between	ADP
fcis-20343	109	24	the	the	DET
fcis-20343	109	25	prediction	prediction	NOUN
fcis-20343	109	26	box	box	NOUN
fcis-20343	109	27	and	and	CCONJ
fcis-20343	109	28	the	the	DET
fcis-20343	109	29	truth	truth	NOUN
fcis-20343	109	30	box	box	NOUN
fcis-20343	109	31	,	,	PUNCT
fcis-20343	109	32	as	as	SCONJ
fcis-20343	109	33	shown	show	VERB
fcis-20343	109	34	in	in	ADP
fcis-20343	109	35	figure	figure	NOUN
fcis-20343	109	36	6	6	NUM
fcis-20343	109	37	.	.	PUNCT
fcis-20343	110	1	the	the	DET
fcis-20343	110	2	loss	loss	NOUN
fcis-20343	110	3	function	function	NOUN
fcis-20343	110	4	consists	consist	VERB
fcis-20343	110	5	of	of	ADP
fcis-20343	110	6	four	four	NUM
fcis-20343	110	7	parts	part	NOUN
fcis-20343	110	8	,	,	PUNCT
fcis-20343	110	9	namely	namely	ADV
fcis-20343	110	10	angle	angle	NOUN
fcis-20343	110	11	cost	cost	NOUN
fcis-20343	110	12	(	(	PUNCT
fcis-20343	110	13	λ	λ	NOUN
fcis-20343	110	14	)	)	PUNCT
fcis-20343	110	15	,	,	PUNCT
fcis-20343	110	16	distance	distance	NOUN
fcis-20343	110	17	cost	cost	NOUN
fcis-20343	110	18	(	(	PUNCT
fcis-20343	110	19	δ	δ	NOUN
fcis-20343	110	20	)	)	PUNCT
fcis-20343	110	21	,	,	PUNCT
fcis-20343	110	22	shape	shape	NOUN
fcis-20343	110	23	cost	cost	NOUN
fcis-20343	110	24	(	(	PUNCT
fcis-20343	110	25	ω	ω	NOUN
fcis-20343	110	26	)	)	PUNCT
fcis-20343	110	27	,	,	PUNCT
fcis-20343	110	28	and	and	CCONJ
fcis-20343	110	29	iou	iou	PROPN
fcis-20343	110	30	cost	cost	NOUN
fcis-20343	110	31	(	(	PUNCT
fcis-20343	110	32	iou	iou	PROPN
fcis-20343	110	33	)	)	PUNCT
fcis-20343	110	34	.	.	PUNCT
fcis-20343	111	1	the	the	DET
fcis-20343	111	2	relevant	relevant	ADJ
fcis-20343	111	3	definitions	definition	NOUN
fcis-20343	111	4	are	be	AUX
fcis-20343	111	5	as	as	SCONJ
fcis-20343	111	6	follows	follow	VERB
fcis-20343	111	7	:	:	PUNCT
fcis-20343	111	8	2	2	NUM
fcis-20343	111	9	1	1	NUM
fcis-20343	111	10	ωδ	ωδ	NOUN
fcis-20343	111	11	ioulsiou	ioulsiou	NOUN
fcis-20343	111	12			X
fcis-20343	111	13			X
fcis-20343	111	14	(	(	PUNCT
fcis-20343	111	15	4	4	NUM
fcis-20343	111	16	)	)	PUNCT
fcis-20343	111	17	)	)	PUNCT
fcis-20343	111	18	4	4	NUM
fcis-20343	111	19	)	)	PUNCT
fcis-20343	111	20	(	(	PUNCT
fcis-20343	111	21	arcsin(sin21	arcsin(sin21	ADV
fcis-20343	111	22	2	2	NUM
fcis-20343	111	23	π	π	NOUN
fcis-20343	111	24	xλ	xλ	PROPN
fcis-20343	111	25			NOUN
fcis-20343	111	26	(	(	PUNCT
fcis-20343	111	27	5	5	NUM
fcis-20343	111	28	)	)	PUNCT
fcis-20343	111	29	2gt2gt	2gt2gt	NUM
fcis-20343	111	30	)	)	PUNCT
fcis-20343	111	31	(	(	PUNCT
fcis-20343	111	32	)	)	PUNCT
fcis-20343	111	33	(	(	PUNCT
fcis-20343	111	34	)	)	PUNCT
fcis-20343	111	35	,	,	PUNCT
fcis-20343	111	36	sin	sin	NOUN
fcis-20343	111	37	(	(	PUNCT
fcis-20343	112	1	yyxx	yyxx	NOUN
fcis-20343	112	2	cccc	cccc	PROPN
fcis-20343	112	3	h	h	NOUN
fcis-20343	112	4	bbbb	bbbb	PROPN
fcis-20343	112	5	c	c	PROPN
fcis-20343	112	6	x	x	PUNCT
fcis-20343	112	7			NOUN
fcis-20343	112	8			ADJ
fcis-20343	112	9			X
fcis-20343	112	10	(	(	PUNCT
fcis-20343	112	11	6	6	NUM
fcis-20343	112	12	)	)	PUNCT
fcis-20343	112	13	)	)	PUNCT
fcis-20343	112	14	,	,	PUNCT
fcis-20343	112	15	min(),max	min(),max	PROPN
fcis-20343	112	16	(	(	PUNCT
fcis-20343	112	17	yyyy	yyyy	PROPN
fcis-20343	112	18	c	c	PROPN
fcis-20343	112	19	gt	gt	PROPN
fcis-20343	112	20	cc	cc	PROPN
fcis-20343	112	21	gt	gt	PROPN
fcis-20343	112	22	ch	ch	PROPN
fcis-20343	112	23	bbbbc	bbbbc	PROPN
fcis-20343	112	24			PROPN
fcis-20343	112	25	(	(	PUNCT
fcis-20343	112	26	7	7	NUM
fcis-20343	112	27	)	)	PUNCT
fcis-20343	112	28	)	)	PUNCT
fcis-20343	112	29	1	1	NUM
fcis-20343	112	30	(	(	PUNCT
fcis-20343	112	31	,	,	PUNCT
fcis-20343	112	32	t	t	PROPN
fcis-20343	112	33	yxt	yxt	NOUN
fcis-20343	112	34	eδ	eδ	VERB
fcis-20343	112	35			PROPN
fcis-20343	112	36	(	(	PUNCT
fcis-20343	112	37	8)	8)	NUM
fcis-20343	112	38			ADV
fcis-20343	112	39			PROPN
fcis-20343	112	40			PROPN
fcis-20343	112	41			NOUN
fcis-20343	113	1			NOUN
fcis-20343	113	2			PROPN
fcis-20343	113	3			PROPN
fcis-20343	114	1			PROPN
fcis-20343	114	2			NOUN
fcis-20343	114	3			NOUN
fcis-20343	114	4			ADP
fcis-20343	114	5			NUM
fcis-20343	114	6			NOUN
fcis-20343	115	1			PROPN
fcis-20343	115	2			PROPN
fcis-20343	115	3			PROPN
fcis-20343	116	1			PROPN
fcis-20343	116	2			NOUN
fcis-20343	116	3			NOUN
fcis-20343	116	4			PROPN
fcis-20343	116	5	2	2	NUM
fcis-20343	116	6	,	,	PUNCT
fcis-20343	116	7	,	,	PUNCT
fcis-20343	116	8	22	22	NUM
fcis-20343	116	9			NOUN
fcis-20343	116	10	h	h	PROPN
fcis-20343	117	1	c	c	NOUN
fcis-20343	118	1	gt	gt	INTJ
fcis-20343	118	2	c	c	NOUN
fcis-20343	118	3	y	y	PROPN
fcis-20343	118	4	w	w	PROPN
fcis-20343	118	5	c	c	PROPN
fcis-20343	118	6	gt	gt	INTJ
fcis-20343	118	7	c	c	NOUN
fcis-20343	119	1	x	x	SYM
fcis-20343	119	2	c	c	NOUN
fcis-20343	119	3	bb	bb	INTJ
fcis-20343	119	4	c	c	NOUN
fcis-20343	119	5	bb	bb	NUM
fcis-20343	119	6	yyxx	yyxx	NOUN
fcis-20343	119	7	(	(	PUNCT
fcis-20343	119	8	9	9	NUM
fcis-20343	119	9	)	)	PUNCT
fcis-20343	119	10			NOUN
fcis-20343	119	11			X
fcis-20343	120	1			PROPN
fcis-20343	121	1			PUNCT
fcis-20343	122	1	hwt	hwt	PROPN
fcis-20343	122	2	teω	teω	NOUN
fcis-20343	122	3	,	,	PUNCT
fcis-20343	122	4	1	1	NUM
fcis-20343	122	5	(	(	PUNCT
fcis-20343	122	6	10	10	NUM
fcis-20343	122	7	)	)	PUNCT
fcis-20343	122	8	)	)	PUNCT
fcis-20343	122	9	,	,	PUNCT
fcis-20343	122	10	max	max	PROPN
fcis-20343	122	11	(	(	PUNCT
fcis-20343	122	12	,	,	PUNCT
fcis-20343	122	13	)	)	PUNCT
fcis-20343	122	14	,	,	PUNCT
fcis-20343	122	15	max	max	PROPN
fcis-20343	122	16	(	(	PUNCT
fcis-20343	122	17	gt	gt	PROPN
fcis-20343	122	18	gt	gt	PROPN
fcis-20343	123	1	hgt	hgt	PROPN
fcis-20343	123	2	gt	gt	PROPN
fcis-20343	123	3	w	w	PROPN
fcis-20343	123	4	hh	hh	PROPN
fcis-20343	124	1	hh	hh	PROPN
fcis-20343	124	2	ww	ww	PROPN
fcis-20343	124	3	ww	ww	PROPN
fcis-20343	124	4			PROPN
fcis-20343	124	5			PROPN
fcis-20343	124	6			PROPN
fcis-20343	124	7			NUM
fcis-20343	124	8			X
fcis-20343	124	9	(	(	PUNCT
fcis-20343	124	10	11	11	NUM
fcis-20343	124	11	)	)	PUNCT
fcis-20343	124	12	gtbb	gtbb	NOUN
fcis-20343	124	13	bb	bb	NOUN
fcis-20343	124	14	iou	iou	PROPN
fcis-20343	124	15			PROPN
fcis-20343	124	16			PUNCT
fcis-20343	124	17			PROPN
fcis-20343	124	18	gt	gt	INTJ
fcis-20343	124	19	(	(	PUNCT
fcis-20343	124	20	12	12	NUM
fcis-20343	124	21	)	)	PUNCT
fcis-20343	124	22	figure	figure	NOUN
fcis-20343	124	23	6	6	NUM
fcis-20343	124	24	.	.	PUNCT
fcis-20343	125	1	the	the	DET
fcis-20343	125	2	overall	overall	ADJ
fcis-20343	125	3	structure	structure	NOUN
fcis-20343	125	4	diagram	diagram	NOUN
fcis-20343	125	5	of	of	ADP
fcis-20343	125	6	this	this	DET
fcis-20343	125	7	paper	paper	NOUN
fcis-20343	125	8	40	40	NUM
fcis-20343	125	9	where	where	SCONJ
fcis-20343	125	10	bgt	bgt	PROPN
fcis-20343	125	11	and	and	CCONJ
fcis-20343	125	12	b	b	PROPN
fcis-20343	125	13	represent	represent	VERB
fcis-20343	125	14	the	the	DET
fcis-20343	125	15	center	center	NOUN
fcis-20343	125	16	point	point	NOUN
fcis-20343	125	17	coordinates	coordinate	NOUN
fcis-20343	125	18	of	of	ADP
fcis-20343	125	19	the	the	DET
fcis-20343	125	20	real	real	ADJ
fcis-20343	125	21	box	box	NOUN
fcis-20343	125	22	and	and	CCONJ
fcis-20343	125	23	the	the	DET
fcis-20343	125	24	predicted	predict	VERB
fcis-20343	125	25	box	box	PROPN
fcis-20343	125	26	,	,	PUNCT
fcis-20343	125	27	σ	σ	PROPN
fcis-20343	125	28	represents	represent	VERB
fcis-20343	125	29	the	the	DET
fcis-20343	125	30	distance	distance	NOUN
fcis-20343	125	31	between	between	ADP
fcis-20343	125	32	the	the	DET
fcis-20343	125	33	center	center	NOUN
fcis-20343	125	34	points	point	NOUN
fcis-20343	125	35	of	of	ADP
fcis-20343	125	36	the	the	DET
fcis-20343	125	37	real	real	ADJ
fcis-20343	125	38	box	box	NOUN
fcis-20343	125	39	and	and	CCONJ
fcis-20343	125	40	the	the	DET
fcis-20343	125	41	predicted	predict	VERB
fcis-20343	125	42	box	box	NOUN
fcis-20343	125	43	,	,	PUNCT
fcis-20343	125	44	ch	ch	NOUN
fcis-20343	125	45	represents	represent	VERB
fcis-20343	125	46	the	the	DET
fcis-20343	125	47	distance	distance	NOUN
fcis-20343	125	48	between	between	ADP
fcis-20343	125	49	the	the	DET
fcis-20343	125	50	center	center	NOUN
fcis-20343	125	51	points	point	NOUN
fcis-20343	125	52	of	of	ADP
fcis-20343	125	53	the	the	DET
fcis-20343	125	54	real	real	ADJ
fcis-20343	125	55	box	box	NOUN
fcis-20343	125	56	and	and	CCONJ
fcis-20343	125	57	the	the	DET
fcis-20343	125	58	predicted	predict	VERB
fcis-20343	125	59	box	box	NOUN
fcis-20343	125	60	in	in	ADP
fcis-20343	125	61	the	the	DET
fcis-20343	125	62	y	y	NOUN
fcis-20343	125	63	-	-	PUNCT
fcis-20343	125	64	direction	direction	NOUN
fcis-20343	125	65	,	,	PUNCT
fcis-20343	125	66	wgt	wgt	PROPN
fcis-20343	125	67	and	and	CCONJ
fcis-20343	125	68	hgt	hgt	PROPN
fcis-20343	125	69	represent	represent	VERB
fcis-20343	125	70	the	the	DET
fcis-20343	125	71	width	width	NOUN
fcis-20343	125	72	and	and	CCONJ
fcis-20343	125	73	height	height	NOUN
fcis-20343	125	74	of	of	ADP
fcis-20343	125	75	the	the	DET
fcis-20343	125	76	real	real	ADJ
fcis-20343	125	77	box	box	NOUN
fcis-20343	125	78	,	,	PUNCT
fcis-20343	125	79	w	w	PROPN
fcis-20343	125	80	and	and	CCONJ
fcis-20343	125	81	h	h	PROPN
fcis-20343	125	82	represent	represent	VERB
fcis-20343	125	83	the	the	DET
fcis-20343	125	84	width	width	NOUN
fcis-20343	125	85	and	and	CCONJ
fcis-20343	125	86	height	height	NOUN
fcis-20343	125	87	of	of	ADP
fcis-20343	125	88	the	the	DET
fcis-20343	125	89	predicted	predict	VERB
fcis-20343	125	90	box	box	PROPN
fcis-20343	125	91	,	,	PUNCT
fcis-20343	125	92	b	b	PROPN
fcis-20343	125	93	and	and	CCONJ
fcis-20343	125	94	bgt	bgt	PROPN
fcis-20343	125	95	represent	represent	VERB
fcis-20343	125	96	the	the	DET
fcis-20343	125	97	predicted	predict	VERB
fcis-20343	125	98	box	box	NOUN
fcis-20343	125	99	and	and	CCONJ
fcis-20343	125	100	the	the	DET
fcis-20343	125	101	true	true	ADJ
fcis-20343	125	102	value	value	NOUN
fcis-20343	125	103	box	box	NOUN
fcis-20343	125	104	.	.	PUNCT
fcis-20343	126	1	the	the	DET
fcis-20343	126	2	above	above	ADJ
fcis-20343	126	3	are	be	AUX
fcis-20343	126	4	all	all	DET
fcis-20343	126	5	the	the	DET
fcis-20343	126	6	improvements	improvement	NOUN
fcis-20343	126	7	made	make	VERB
fcis-20343	126	8	in	in	ADP
fcis-20343	126	9	this	this	DET
fcis-20343	126	10	paper	paper	NOUN
fcis-20343	126	11	based	base	VERB
fcis-20343	126	12	on	on	ADP
fcis-20343	126	13	the	the	DET
fcis-20343	126	14	yolov7	yolov7	ADV
fcis-20343	126	15	-	-	PUNCT
fcis-20343	126	16	tiny	tiny	ADJ
fcis-20343	126	17	network	network	NOUN
fcis-20343	126	18	,	,	PUNCT
fcis-20343	126	19	and	and	CCONJ
fcis-20343	126	20	a	a	DET
fcis-20343	126	21	lightweight	lightweight	ADJ
fcis-20343	126	22	uav	uav	PROPN
fcis-20343	126	23	aerial	aerial	ADJ
fcis-20343	126	24	image	image	NOUN
fcis-20343	126	25	detection	detection	NOUN
fcis-20343	126	26	network	network	NOUN
fcis-20343	126	27	is	be	AUX
fcis-20343	126	28	obtained	obtain	VERB
fcis-20343	126	29	.	.	PUNCT
fcis-20343	127	1	the	the	DET
fcis-20343	127	2	overall	overall	ADJ
fcis-20343	127	3	detection	detection	NOUN
fcis-20343	127	4	network	network	NOUN
fcis-20343	127	5	structure	structure	NOUN
fcis-20343	127	6	is	be	AUX
fcis-20343	127	7	shown	show	VERB
fcis-20343	127	8	in	in	ADP
fcis-20343	127	9	figure	figure	NOUN
fcis-20343	127	10	6	6	NUM
fcis-20343	127	11	.	.	PUNCT
fcis-20343	127	12	compared	compare	VERB
fcis-20343	127	13	with	with	ADP
fcis-20343	127	14	the	the	DET
fcis-20343	127	15	original	original	ADJ
fcis-20343	127	16	yolov7	yolov7	ADJ
fcis-20343	127	17	-	-	PUNCT
fcis-20343	127	18	tiny	tiny	ADJ
fcis-20343	127	19	network	network	NOUN
fcis-20343	127	20	,	,	PUNCT
fcis-20343	127	21	the	the	DET
fcis-20343	127	22	main	main	ADJ
fcis-20343	127	23	network	network	NOUN
fcis-20343	127	24	part	part	NOUN
fcis-20343	127	25	,	,	PUNCT
fcis-20343	127	26	the	the	DET
fcis-20343	127	27	neck	neck	NOUN
fcis-20343	127	28	network	network	NOUN
fcis-20343	127	29	part	part	NOUN
fcis-20343	127	30	,	,	PUNCT
fcis-20343	127	31	the	the	DET
fcis-20343	127	32	detection	detection	NOUN
fcis-20343	127	33	head	head	VERB
fcis-20343	127	34	part	part	NOUN
fcis-20343	127	35	and	and	CCONJ
fcis-20343	127	36	the	the	DET
fcis-20343	127	37	loss	loss	NOUN
fcis-20343	127	38	function	function	NOUN
fcis-20343	127	39	part	part	NOUN
fcis-20343	127	40	are	be	AUX
fcis-20343	127	41	improved	improve	VERB
fcis-20343	127	42	,	,	PUNCT
fcis-20343	127	43	which	which	PRON
fcis-20343	127	44	improves	improve	VERB
fcis-20343	127	45	the	the	DET
fcis-20343	127	46	detection	detection	NOUN
fcis-20343	127	47	effect	effect	NOUN
fcis-20343	127	48	of	of	ADP
fcis-20343	127	49	the	the	DET
fcis-20343	127	50	algorithm	algorithm	NOUN
fcis-20343	127	51	for	for	ADP
fcis-20343	127	52	targets	target	NOUN
fcis-20343	127	53	in	in	ADP
fcis-20343	127	54	aerial	aerial	ADJ
fcis-20343	127	55	images	image	NOUN
fcis-20343	127	56	.	.	PUNCT
fcis-20343	128	1	4	4	X
fcis-20343	128	2	.	.	X
fcis-20343	128	3	experiment	experiment	NOUN
fcis-20343	128	4	and	and	CCONJ
fcis-20343	128	5	result	result	VERB
fcis-20343	128	6	analysis	analysis	NOUN
fcis-20343	128	7	the	the	DET
fcis-20343	128	8	manuscript	manuscript	NOUN
fcis-20343	128	9	should	should	AUX
fcis-20343	128	10	include	include	VERB
fcis-20343	128	11	a	a	DET
fcis-20343	128	12	conclusion	conclusion	NOUN
fcis-20343	128	13	.	.	PUNCT
fcis-20343	129	1	in	in	ADP
fcis-20343	129	2	this	this	DET
fcis-20343	129	3	section	section	NOUN
fcis-20343	129	4	,	,	PUNCT
fcis-20343	129	5	summarize	summarize	VERB
fcis-20343	129	6	what	what	PRON
fcis-20343	129	7	was	be	AUX
fcis-20343	129	8	described	describe	VERB
fcis-20343	129	9	in	in	ADP
fcis-20343	129	10	your	your	PRON
fcis-20343	129	11	paper	paper	NOUN
fcis-20343	129	12	.	.	PUNCT
fcis-20343	130	1	future	future	ADJ
fcis-20343	130	2	directions	direction	NOUN
fcis-20343	130	3	may	may	AUX
fcis-20343	130	4	also	also	ADV
fcis-20343	130	5	be	be	AUX
fcis-20343	130	6	included	include	VERB
fcis-20343	130	7	in	in	ADP
fcis-20343	130	8	this	this	DET
fcis-20343	130	9	section	section	NOUN
fcis-20343	130	10	.	.	PUNCT
fcis-20343	131	1	authors	author	NOUN
fcis-20343	131	2	are	be	AUX
fcis-20343	131	3	strongly	strongly	ADV
fcis-20343	131	4	encouraged	encourage	VERB
fcis-20343	131	5	not	not	PART
fcis-20343	131	6	to	to	PART
fcis-20343	131	7	reference	reference	VERB
fcis-20343	131	8	multiple	multiple	ADJ
fcis-20343	131	9	figures	figure	NOUN
fcis-20343	131	10	or	or	CCONJ
fcis-20343	131	11	tables	table	NOUN
fcis-20343	131	12	in	in	ADP
fcis-20343	131	13	the	the	DET
fcis-20343	131	14	conclusion	conclusion	NOUN
fcis-20343	131	15	;	;	PUNCT
fcis-20343	131	16	these	these	PRON
fcis-20343	131	17	should	should	AUX
fcis-20343	131	18	be	be	AUX
fcis-20343	131	19	referenced	reference	VERB
fcis-20343	131	20	in	in	ADP
fcis-20343	131	21	the	the	DET
fcis-20343	131	22	body	body	NOUN
fcis-20343	131	23	of	of	ADP
fcis-20343	131	24	the	the	DET
fcis-20343	131	25	paper	paper	NOUN
fcis-20343	131	26	.	.	PUNCT
fcis-20343	132	1	4.1	4.1	NUM
fcis-20343	132	2	.	.	PUNCT
fcis-20343	132	3	data	datum	NOUN
fcis-20343	132	4	set	set	VERB
fcis-20343	132	5	and	and	CCONJ
fcis-20343	132	6	parameter	parameter	NOUN
fcis-20343	132	7	settings	setting	NOUN
fcis-20343	132	8	the	the	DET
fcis-20343	132	9	dataset	dataset	NOUN
fcis-20343	132	10	used	use	VERB
fcis-20343	132	11	in	in	ADP
fcis-20343	132	12	this	this	DET
fcis-20343	132	13	experiment	experiment	NOUN
fcis-20343	132	14	is	be	AUX
fcis-20343	132	15	visdrone2019	visdrone2019	PROPN
fcis-20343	132	16	aerial	aerial	ADJ
fcis-20343	132	17	image	image	NOUN
fcis-20343	132	18	dataset	dataset	NOUN
fcis-20343	132	19	.	.	PUNCT
fcis-20343	133	1	this	this	DET
fcis-20343	133	2	data	datum	NOUN
fcis-20343	133	3	set	set	VERB
fcis-20343	133	4	is	be	AUX
fcis-20343	133	5	collected	collect	VERB
fcis-20343	133	6	by	by	ADP
fcis-20343	133	7	the	the	DET
fcis-20343	133	8	aiskyeye	aiskyeye	NOUN
fcis-20343	133	9	team	team	NOUN
fcis-20343	133	10	from	from	ADP
fcis-20343	133	11	tianjin	tianjin	PROPN
fcis-20343	133	12	university	university	PROPN
fcis-20343	133	13	's	's	PART
fcis-20343	133	14	laboratory	laboratory	NOUN
fcis-20343	133	15	in	in	ADP
fcis-20343	133	16	14	14	NUM
fcis-20343	133	17	cities	city	NOUN
fcis-20343	133	18	across	across	ADP
fcis-20343	133	19	china	china	PROPN
fcis-20343	133	20	,	,	PUNCT
fcis-20343	133	21	separated	separate	VERB
fcis-20343	133	22	by	by	ADP
fcis-20343	133	23	thousands	thousand	NOUN
fcis-20343	133	24	of	of	ADP
fcis-20343	133	25	kilometers	kilometer	NOUN
fcis-20343	133	26	,	,	PUNCT
fcis-20343	133	27	through	through	ADP
fcis-20343	133	28	various	various	ADJ
fcis-20343	133	29	drone	drone	NOUN
fcis-20343	133	30	cameras	camera	NOUN
fcis-20343	133	31	.	.	PUNCT
fcis-20343	134	1	its	its	PRON
fcis-20343	134	2	benchmark	benchmark	NOUN
fcis-20343	134	3	dataset	dataset	NOUN
fcis-20343	134	4	includes	include	VERB
fcis-20343	134	5	288	288	NUM
fcis-20343	134	6	video	video	NOUN
fcis-20343	134	7	clips	clip	NOUN
fcis-20343	134	8	consisting	consist	VERB
fcis-20343	134	9	of	of	ADP
fcis-20343	134	10	261908	261908	NUM
fcis-20343	134	11	frames	frame	NOUN
fcis-20343	134	12	and	and	CCONJ
fcis-20343	134	13	10209	10209	NUM
fcis-20343	134	14	still	still	ADV
fcis-20343	134	15	images	image	VERB
fcis-20343	134	16	.	.	PUNCT
fcis-20343	135	1	in	in	ADP
fcis-20343	135	2	this	this	DET
fcis-20343	135	3	paper	paper	NOUN
fcis-20343	135	4	,	,	PUNCT
fcis-20343	135	5	8629	8629	NUM
fcis-20343	135	6	labeled	label	VERB
fcis-20343	135	7	still	still	ADV
fcis-20343	135	8	images	image	NOUN
fcis-20343	135	9	from	from	ADP
fcis-20343	135	10	10209	10209	NUM
fcis-20343	135	11	still	still	ADV
fcis-20343	135	12	images	image	NOUN
fcis-20343	135	13	are	be	AUX
fcis-20343	135	14	used	use	VERB
fcis-20343	135	15	to	to	PART
fcis-20343	135	16	form	form	VERB
fcis-20343	135	17	the	the	DET
fcis-20343	135	18	experimental	experimental	ADJ
fcis-20343	135	19	data	datum	NOUN
fcis-20343	135	20	set	set	VERB
fcis-20343	135	21	,	,	PUNCT
fcis-20343	135	22	and	and	CCONJ
fcis-20343	135	23	the	the	DET
fcis-20343	135	24	targets	target	NOUN
fcis-20343	135	25	in	in	ADP
fcis-20343	135	26	this	this	DET
fcis-20343	135	27	data	datum	NOUN
fcis-20343	135	28	set	set	VERB
fcis-20343	135	29	contain	contain	VERB
fcis-20343	135	30	10	10	NUM
fcis-20343	135	31	categories	category	NOUN
fcis-20343	135	32	:	:	PUNCT
fcis-20343	135	33	pedestrians	pedestrian	NOUN
fcis-20343	135	34	,	,	PUNCT
fcis-20343	135	35	people	people	NOUN
fcis-20343	135	36	,	,	PUNCT
fcis-20343	135	37	cars	car	NOUN
fcis-20343	135	38	,	,	PUNCT
fcis-20343	135	39	vans	van	NOUN
fcis-20343	135	40	,	,	PUNCT
fcis-20343	135	41	buses	bus	NOUN
fcis-20343	135	42	,	,	PUNCT
fcis-20343	135	43	trucks	truck	NOUN
fcis-20343	135	44	,	,	PUNCT
fcis-20343	135	45	motorcycles	motorcycle	NOUN
fcis-20343	135	46	,	,	PUNCT
fcis-20343	135	47	bicycles	bicycle	NOUN
fcis-20343	135	48	,	,	PUNCT
fcis-20343	135	49	ahab	ahab	NOUN
fcis-20343	135	50	tricycles	tricycle	NOUN
fcis-20343	135	51	and	and	CCONJ
fcis-20343	135	52	tricycles	tricycle	NOUN
fcis-20343	135	53	.	.	PUNCT
fcis-20343	136	1	among	among	ADP
fcis-20343	136	2	them	they	PRON
fcis-20343	136	3	,	,	PUNCT
fcis-20343	136	4	6471	6471	NUM
fcis-20343	136	5	images	image	NOUN
fcis-20343	136	6	are	be	AUX
fcis-20343	136	7	allocated	allocate	VERB
fcis-20343	136	8	to	to	ADP
fcis-20343	136	9	training	train	VERB
fcis-20343	136	10	data	datum	NOUN
fcis-20343	136	11	set	set	VERB
fcis-20343	136	12	,	,	PUNCT
fcis-20343	136	13	548	548	NUM
fcis-20343	136	14	images	image	NOUN
fcis-20343	136	15	are	be	AUX
fcis-20343	136	16	allocated	allocate	VERB
fcis-20343	136	17	to	to	ADP
fcis-20343	136	18	validation	validation	NOUN
fcis-20343	136	19	data	datum	NOUN
fcis-20343	136	20	set	set	VERB
fcis-20343	136	21	and	and	CCONJ
fcis-20343	136	22	1610	1610	NUM
fcis-20343	136	23	images	image	NOUN
fcis-20343	136	24	are	be	AUX
fcis-20343	136	25	allocated	allocate	VERB
fcis-20343	136	26	to	to	PART
fcis-20343	136	27	test	test	NOUN
fcis-20343	136	28	data	datum	NOUN
fcis-20343	136	29	set	set	VERB
fcis-20343	136	30	.	.	PUNCT
fcis-20343	137	1	all	all	DET
fcis-20343	137	2	experiments	experiment	NOUN
fcis-20343	137	3	in	in	ADP
fcis-20343	137	4	this	this	DET
fcis-20343	137	5	paper	paper	NOUN
fcis-20343	137	6	are	be	AUX
fcis-20343	137	7	carried	carry	VERB
fcis-20343	137	8	out	out	ADP
fcis-20343	137	9	on	on	ADP
fcis-20343	137	10	the	the	DET
fcis-20343	137	11	same	same	ADJ
fcis-20343	137	12	platform	platform	NOUN
fcis-20343	137	13	and	and	CCONJ
fcis-20343	137	14	the	the	DET
fcis-20343	137	15	same	same	ADJ
fcis-20343	137	16	data	datum	NOUN
fcis-20343	137	17	set	set	VERB
fcis-20343	137	18	.	.	PUNCT
fcis-20343	138	1	the	the	DET
fcis-20343	138	2	experiment	experiment	NOUN
fcis-20343	138	3	system	system	NOUN
fcis-20343	138	4	is	be	AUX
fcis-20343	138	5	ubuntu18.04.6	ubuntu18.04.6	NOUN
fcis-20343	138	6	,	,	PUNCT
fcis-20343	138	7	the	the	DET
fcis-20343	138	8	cpu	cpu	NOUN
fcis-20343	138	9	is	be	AUX
fcis-20343	138	10	intel	intel	PROPN
fcis-20343	138	11	xeon(r)e-2276	xeon(r)e-2276	PROPN
fcis-20343	138	12	m	m	PROPN
fcis-20343	138	13	,	,	PUNCT
fcis-20343	138	14	the	the	DET
fcis-20343	138	15	running	running	NOUN
fcis-20343	138	16	memory	memory	NOUN
fcis-20343	138	17	is	be	AUX
fcis-20343	138	18	64	64	NUM
fcis-20343	138	19	g	g	NOUN
fcis-20343	138	20	,	,	PUNCT
fcis-20343	138	21	the	the	DET
fcis-20343	138	22	gpu	gpu	NOUN
fcis-20343	138	23	is	be	AUX
fcis-20343	138	24	rtx5000	rtx5000	ADJ
fcis-20343	138	25	with	with	ADP
fcis-20343	138	26	16	16	NUM
fcis-20343	138	27	g	g	NOUN
fcis-20343	138	28	memory	memory	NOUN
fcis-20343	138	29	,	,	PUNCT
fcis-20343	138	30	and	and	CCONJ
fcis-20343	138	31	the	the	DET
fcis-20343	138	32	deep	deep	ADJ
fcis-20343	138	33	learning	learning	NOUN
fcis-20343	138	34	framework	framework	NOUN
fcis-20343	138	35	is	be	AUX
fcis-20343	138	36	pytorch2.0.1	pytorch2.0.1	NOUN
fcis-20343	138	37	.	.	PUNCT
fcis-20343	139	1	cuda	cuda	PROPN
fcis-20343	139	2	version	version	PROPN
fcis-20343	139	3	11.4	11.4	NUM
fcis-20343	139	4	and	and	CCONJ
fcis-20343	139	5	python	python	PROPN
fcis-20343	139	6	version	version	NOUN
fcis-20343	139	7	3.9	3.9	NUM
fcis-20343	139	8	.	.	PUNCT
fcis-20343	140	1	in	in	ADP
fcis-20343	140	2	the	the	DET
fcis-20343	140	3	training	training	NOUN
fcis-20343	140	4	process	process	NOUN
fcis-20343	140	5	of	of	ADP
fcis-20343	140	6	the	the	DET
fcis-20343	140	7	network	network	NOUN
fcis-20343	140	8	,	,	PUNCT
fcis-20343	140	9	sgd	sgd	PROPN
fcis-20343	140	10	optimizer	optimizer	NOUN
fcis-20343	140	11	is	be	AUX
fcis-20343	140	12	adopted	adopt	VERB
fcis-20343	140	13	,	,	PUNCT
fcis-20343	140	14	the	the	DET
fcis-20343	140	15	training	training	NOUN
fcis-20343	140	16	batch	batch	NOUN
fcis-20343	140	17	size	size	NOUN
fcis-20343	140	18	is	be	AUX
fcis-20343	140	19	4	4	NUM
fcis-20343	140	20	,	,	PUNCT
fcis-20343	140	21	the	the	DET
fcis-20343	140	22	initial	initial	ADJ
fcis-20343	140	23	learning	learning	NOUN
fcis-20343	140	24	rate	rate	NOUN
fcis-20343	140	25	setting	setting	NOUN
fcis-20343	140	26	is	be	AUX
fcis-20343	140	27	0.01	0.01	NUM
fcis-20343	140	28	,	,	PUNCT
fcis-20343	140	29	the	the	DET
fcis-20343	140	30	preheating	preheating	NOUN
fcis-20343	140	31	initial	initial	ADJ
fcis-20343	140	32	momentum	momentum	NOUN
fcis-20343	140	33	is	be	AUX
fcis-20343	140	34	0.8	0.8	NUM
fcis-20343	140	35	,	,	PUNCT
fcis-20343	140	36	and	and	CCONJ
fcis-20343	140	37	the	the	DET
fcis-20343	140	38	training	training	NOUN
fcis-20343	140	39	is	be	AUX
fcis-20343	140	40	200	200	NUM
fcis-20343	140	41	rounds	round	NOUN
fcis-20343	140	42	.	.	PUNCT
fcis-20343	141	1	4.2	4.2	NUM
fcis-20343	141	2	.	.	PUNCT
fcis-20343	141	3	data	datum	NOUN
fcis-20343	141	4	set	set	VERB
fcis-20343	141	5	and	and	CCONJ
fcis-20343	141	6	parameter	parameter	NOUN
fcis-20343	141	7	settings	setting	NOUN
fcis-20343	141	8	in	in	ADP
fcis-20343	141	9	order	order	NOUN
fcis-20343	141	10	to	to	PART
fcis-20343	141	11	evaluate	evaluate	VERB
fcis-20343	141	12	the	the	DET
fcis-20343	141	13	improved	improved	ADJ
fcis-20343	141	14	network	network	NOUN
fcis-20343	141	15	model	model	NOUN
fcis-20343	141	16	,	,	PUNCT
fcis-20343	141	17	the	the	DET
fcis-20343	141	18	evaluation	evaluation	NOUN
fcis-20343	141	19	indicators	indicator	NOUN
fcis-20343	141	20	selected	select	VERB
fcis-20343	141	21	in	in	ADP
fcis-20343	141	22	this	this	DET
fcis-20343	141	23	paper	paper	NOUN
fcis-20343	141	24	are	be	AUX
fcis-20343	141	25	:	:	PUNCT
fcis-20343	141	26	recall	recall	NOUN
fcis-20343	141	27	(	(	PUNCT
fcis-20343	141	28	r	r	NOUN
fcis-20343	141	29	)	)	PUNCT
fcis-20343	141	30	,	,	PUNCT
fcis-20343	141	31	precision	precision	NOUN
fcis-20343	141	32	(	(	PUNCT
fcis-20343	141	33	p	p	NOUN
fcis-20343	141	34	)	)	PUNCT
fcis-20343	141	35	,	,	PUNCT
fcis-20343	141	36	mean	mean	VERB
fcis-20343	141	37	average	average	ADJ
fcis-20343	141	38	precision	precision	NOUN
fcis-20343	141	39	(	(	PUNCT
fcis-20343	141	40	map	map	NOUN
fcis-20343	141	41	)	)	PUNCT
fcis-20343	141	42	,	,	PUNCT
fcis-20343	141	43	f1_score(f1	f1_score(f1	PROPN
fcis-20343	141	44	)	)	PUNCT
fcis-20343	141	45	,	,	PUNCT
fcis-20343	141	46	the	the	DET
fcis-20343	141	47	speed	speed	NOUN
fcis-20343	141	48	at	at	ADP
fcis-20343	141	49	which	which	PRON
fcis-20343	141	50	the	the	DET
fcis-20343	141	51	model	model	NOUN
fcis-20343	141	52	detects	detect	NOUN
fcis-20343	141	53	images	image	NOUN
fcis-20343	141	54	(	(	PUNCT
fcis-20343	141	55	fps	fps	PROPN
fcis-20343	141	56	)	)	PUNCT
fcis-20343	141	57	,	,	PUNCT
fcis-20343	141	58	the	the	DET
fcis-20343	141	59	number	number	NOUN
fcis-20343	141	60	of	of	ADP
fcis-20343	141	61	parameters	parameter	NOUN
fcis-20343	141	62	used	use	VERB
fcis-20343	141	63	by	by	ADP
fcis-20343	141	64	the	the	DET
fcis-20343	141	65	model	model	NOUN
fcis-20343	141	66	(	(	PUNCT
fcis-20343	141	67	parameters	parameter	NOUN
fcis-20343	141	68	)	)	PUNCT
fcis-20343	141	69	,	,	PUNCT
fcis-20343	141	70	the	the	DET
fcis-20343	141	71	number	number	NOUN
fcis-20343	141	72	of	of	ADP
fcis-20343	141	73	computations	computation	NOUN
fcis-20343	141	74	performed	perform	VERB
fcis-20343	141	75	by	by	ADP
fcis-20343	141	76	the	the	DET
fcis-20343	141	77	model	model	NOUN
fcis-20343	141	78	(	(	PUNCT
fcis-20343	141	79	gflops	gflop	NOUN
fcis-20343	141	80	)	)	PUNCT
fcis-20343	141	81	,	,	PUNCT
fcis-20343	141	82	and	and	CCONJ
fcis-20343	141	83	the	the	DET
fcis-20343	141	84	resulting	result	VERB
fcis-20343	141	85	model	model	NOUN
fcis-20343	141	86	weight	weight	NOUN
fcis-20343	141	87	file	file	NOUN
fcis-20343	141	88	size	size	NOUN
fcis-20343	141	89	(	(	PUNCT
fcis-20343	141	90	model	model	NOUN
fcis-20343	141	91	size	size	NOUN
fcis-20343	141	92	)	)	PUNCT
fcis-20343	141	93	are	be	AUX
fcis-20343	141	94	calculated	calculate	VERB
fcis-20343	141	95	as	as	SCONJ
fcis-20343	141	96	follows	follow	VERB
fcis-20343	141	97	:	:	PUNCT
fcis-20343	142	1	%	%	INTJ
fcis-20343	142	2	fptp	fptp	INTJ
fcis-20343	143	1	tp	tp	X
fcis-20343	143	2	p	p	PROPN
fcis-20343	143	3	100	100	NUM
fcis-20343	143	4			ADV
fcis-20343	143	5			PROPN
fcis-20343	143	6	(	(	PUNCT
fcis-20343	143	7	13	13	NUM
fcis-20343	143	8	)	)	PUNCT
fcis-20343	143	9	%	%	NOUN
fcis-20343	143	10	fntp	fntp	NOUN
fcis-20343	143	11	tp	tp	ADP
fcis-20343	143	12	r	r	PROPN
fcis-20343	143	13	100	100	NUM
fcis-20343	143	14			ADV
fcis-20343	143	15			PROPN
fcis-20343	143	16	(	(	PUNCT
fcis-20343	143	17	14	14	NUM
fcis-20343	143	18	)	)	PUNCT
fcis-20343	143	19	rp	rp	NOUN
fcis-20343	143	20	pr	pr	NOUN
fcis-20343	144	1	f	f	PROPN
fcis-20343	144	2			PROPN
fcis-20343	144	3			NUM
fcis-20343	144	4	2	2	NUM
fcis-20343	144	5	1	1	NUM
fcis-20343	144	6	(	(	PUNCT
fcis-20343	144	7	15	15	NUM
fcis-20343	144	8	)	)	PUNCT
fcis-20343	144	9	drp(r)ap	drp(r)ap	NOUN
fcis-20343	144	10			ADV
fcis-20343	144	11	1	1	NUM
fcis-20343	144	12	0	0	NUM
fcis-20343	144	13	(	(	PUNCT
fcis-20343	144	14	16	16	NUM
fcis-20343	144	15	)	)	PUNCT
fcis-20343	144	16			X
fcis-20343	145	1			NUM
fcis-20343	145	2			NOUN
fcis-20343	146	1	n	n	VERB
fcis-20343	146	2	i	i	PRON
fcis-20343	146	3	n	n	PRON
fcis-20343	146	4	ap(i	ap(i	ADV
fcis-20343	146	5	)	)	PUNCT
fcis-20343	146	6	map	map	VERB
fcis-20343	146	7	1	1	NUM
fcis-20343	146	8	(	(	PUNCT
fcis-20343	146	9	17	17	NUM
fcis-20343	146	10	)	)	PUNCT
fcis-20343	146	11	where	where	SCONJ
fcis-20343	146	12	tp	tp	NOUN
fcis-20343	146	13	,	,	PUNCT
fcis-20343	146	14	fp	fp	PROPN
fcis-20343	146	15	and	and	CCONJ
fcis-20343	146	16	fn	fn	PROPN
fcis-20343	146	17	represent	represent	VERB
fcis-20343	146	18	positive	positive	ADJ
fcis-20343	146	19	samples	sample	NOUN
fcis-20343	146	20	correctly	correctly	ADV
fcis-20343	146	21	identified	identify	VERB
fcis-20343	146	22	as	as	ADP
fcis-20343	146	23	positive	positive	ADJ
fcis-20343	146	24	samples	sample	NOUN
fcis-20343	146	25	,	,	PUNCT
fcis-20343	146	26	negative	negative	ADJ
fcis-20343	146	27	samples	sample	NOUN
fcis-20343	146	28	identified	identify	VERB
fcis-20343	146	29	as	as	ADP
fcis-20343	146	30	positive	positive	ADJ
fcis-20343	146	31	samples	sample	NOUN
fcis-20343	146	32	,	,	PUNCT
fcis-20343	146	33	and	and	CCONJ
fcis-20343	146	34	positive	positive	ADJ
fcis-20343	146	35	samples	sample	NOUN
fcis-20343	146	36	identified	identify	VERB
fcis-20343	146	37	as	as	ADP
fcis-20343	146	38	negative	negative	ADJ
fcis-20343	146	39	samples	sample	NOUN
fcis-20343	146	40	,	,	PUNCT
fcis-20343	146	41	respectively	respectively	ADV
fcis-20343	146	42	.	.	PUNCT
fcis-20343	147	1	4.3	4.3	NUM
fcis-20343	147	2	.	.	PUNCT
fcis-20343	147	3	ablation	ablation	NOUN
fcis-20343	147	4	experiment	experiment	NOUN
fcis-20343	147	5	the	the	DET
fcis-20343	147	6	lightweight	lightweight	PROPN
fcis-20343	147	7	uav	uav	PROPN
fcis-20343	147	8	aerial	aerial	ADJ
fcis-20343	147	9	image	image	NOUN
fcis-20343	147	10	target	target	NOUN
fcis-20343	147	11	detection	detection	NOUN
fcis-20343	147	12	network	network	NOUN
fcis-20343	147	13	proposed	propose	VERB
fcis-20343	147	14	in	in	ADP
fcis-20343	147	15	this	this	DET
fcis-20343	147	16	paper	paper	NOUN
fcis-20343	147	17	is	be	AUX
fcis-20343	147	18	improved	improve	VERB
fcis-20343	147	19	on	on	ADP
fcis-20343	147	20	the	the	DET
fcis-20343	147	21	yolov7	yolov7	ADV
fcis-20343	147	22	-	-	PUNCT
fcis-20343	147	23	tiny	tiny	ADJ
fcis-20343	147	24	detection	detection	NOUN
fcis-20343	147	25	network	network	NOUN
fcis-20343	147	26	.	.	PUNCT
fcis-20343	148	1	in	in	ADP
fcis-20343	148	2	order	order	NOUN
fcis-20343	148	3	to	to	PART
fcis-20343	148	4	verify	verify	VERB
fcis-20343	148	5	the	the	DET
fcis-20343	148	6	detection	detection	NOUN
fcis-20343	148	7	effect	effect	NOUN
fcis-20343	148	8	brought	bring	VERB
fcis-20343	148	9	by	by	ADP
fcis-20343	148	10	the	the	DET
fcis-20343	148	11	improvement	improvement	NOUN
fcis-20343	148	12	points	point	NOUN
fcis-20343	148	13	proposed	propose	VERB
fcis-20343	148	14	in	in	ADP
fcis-20343	148	15	this	this	DET
fcis-20343	148	16	paper	paper	NOUN
fcis-20343	148	17	,	,	PUNCT
fcis-20343	148	18	the	the	DET
fcis-20343	148	19	experiment	experiment	NOUN
fcis-20343	148	20	conducted	conduct	VERB
fcis-20343	148	21	by	by	ADP
fcis-20343	148	22	the	the	DET
fcis-20343	148	23	unimproved	unimproved	ADJ
fcis-20343	148	24	basic	basic	ADJ
fcis-20343	148	25	network	network	NOUN
fcis-20343	148	26	is	be	AUX
fcis-20343	148	27	defined	define	VERB
fcis-20343	148	28	as	as	ADP
fcis-20343	148	29	a	a	PRON
fcis-20343	148	30	,	,	PUNCT
fcis-20343	148	31	the	the	DET
fcis-20343	148	32	experiment	experiment	NOUN
fcis-20343	148	33	conducted	conduct	VERB
fcis-20343	148	34	by	by	ADP
fcis-20343	148	35	the	the	DET
fcis-20343	148	36	improved	improve	VERB
fcis-20343	148	37	elan	elan	NOUN
fcis-20343	148	38	module	module	NOUN
fcis-20343	148	39	is	be	AUX
fcis-20343	148	40	defined	define	VERB
fcis-20343	148	41	as	as	ADP
fcis-20343	148	42	b	b	NOUN
fcis-20343	148	43	,	,	PUNCT
fcis-20343	148	44	the	the	DET
fcis-20343	148	45	experiment	experiment	NOUN
fcis-20343	148	46	conducted	conduct	VERB
fcis-20343	148	47	by	by	ADP
fcis-20343	148	48	the	the	DET
fcis-20343	148	49	improved	improve	VERB
fcis-20343	148	50	neck	neck	NOUN
fcis-20343	148	51	network	network	NOUN
fcis-20343	148	52	and	and	CCONJ
fcis-20343	148	53	detection	detection	NOUN
fcis-20343	148	54	head	head	NOUN
fcis-20343	148	55	is	be	AUX
fcis-20343	148	56	defined	define	VERB
fcis-20343	148	57	as	as	ADP
fcis-20343	148	58	c	c	NOUN
fcis-20343	148	59	,	,	PUNCT
fcis-20343	148	60	the	the	DET
fcis-20343	148	61	experiment	experiment	NOUN
fcis-20343	148	62	conducted	conduct	VERB
fcis-20343	148	63	by	by	ADP
fcis-20343	148	64	the	the	DET
fcis-20343	148	65	embedded	embed	VERB
fcis-20343	148	66	se	se	PROPN
fcis-20343	148	67	attention	attention	NOUN
fcis-20343	148	68	mechanism	mechanism	NOUN
fcis-20343	148	69	in	in	ADP
fcis-20343	148	70	the	the	DET
fcis-20343	148	71	backbone	backbone	NOUN
fcis-20343	148	72	network	network	NOUN
fcis-20343	148	73	is	be	AUX
fcis-20343	148	74	defined	define	VERB
fcis-20343	148	75	as	as	ADP
fcis-20343	148	76	d	d	PROPN
fcis-20343	148	77	,	,	PUNCT
fcis-20343	148	78	the	the	DET
fcis-20343	148	79	experiment	experiment	NOUN
fcis-20343	148	80	conducted	conduct	VERB
fcis-20343	148	81	by	by	ADP
fcis-20343	148	82	the	the	DET
fcis-20343	148	83	improved	improve	VERB
fcis-20343	148	84	loss	loss	NOUN
fcis-20343	148	85	function	function	NOUN
fcis-20343	148	86	is	be	AUX
fcis-20343	148	87	defined	define	VERB
fcis-20343	148	88	as	as	ADP
fcis-20343	148	89	e	e	NOUN
fcis-20343	148	90	,	,	PUNCT
fcis-20343	148	91	and	and	CCONJ
fcis-20343	148	92	the	the	DET
fcis-20343	148	93	experiment	experiment	NOUN
fcis-20343	148	94	containing	contain	VERB
fcis-20343	148	95	all	all	DET
fcis-20343	148	96	improvements	improvement	NOUN
fcis-20343	148	97	performed	perform	VERB
fcis-20343	148	98	is	be	AUX
fcis-20343	148	99	defined	define	VERB
fcis-20343	148	100	as	as	ADP
fcis-20343	148	101	f	f	PROPN
fcis-20343	148	102	for	for	ADP
fcis-20343	148	103	ablation	ablation	NOUN
fcis-20343	148	104	experiments	experiment	NOUN
fcis-20343	148	105	and	and	CCONJ
fcis-20343	148	106	result	result	VERB
fcis-20343	148	107	analysis	analysis	NOUN
fcis-20343	148	108	.	.	PUNCT
fcis-20343	149	1	the	the	DET
fcis-20343	149	2	results	result	NOUN
fcis-20343	149	3	obtained	obtain	VERB
fcis-20343	149	4	in	in	ADP
fcis-20343	149	5	the	the	DET
fcis-20343	149	6	ablation	ablation	NOUN
fcis-20343	149	7	experiments	experiment	NOUN
fcis-20343	149	8	are	be	AUX
fcis-20343	149	9	shown	show	VERB
fcis-20343	149	10	in	in	ADP
fcis-20343	149	11	table	table	NOUN
fcis-20343	149	12	1	1	NUM
fcis-20343	149	13	:	:	PUNCT
fcis-20343	149	14	table	table	NOUN
fcis-20343	149	15	1	1	NUM
fcis-20343	149	16	.	.	PUNCT
fcis-20343	149	17	performance	performance	NOUN
fcis-20343	149	18	results	result	NOUN
fcis-20343	149	19	of	of	ADP
fcis-20343	149	20	the	the	DET
fcis-20343	149	21	ablation	ablation	NOUN
fcis-20343	149	22	experiment	experiment	NOUN
fcis-20343	149	23	algorithm	algorithm	NOUN
fcis-20343	149	24	method	method	NOUN
fcis-20343	149	25	p(%	p(%	NOUN
fcis-20343	149	26	)	)	PUNCT
fcis-20343	149	27	r(%	r(%	NOUN
fcis-20343	149	28	)	)	PUNCT
fcis-20343	149	29	f1(%	f1(%	NOUN
fcis-20343	149	30	)	)	PUNCT
fcis-20343	149	31	map(%	map(%	PROPN
fcis-20343	149	32	)	)	PUNCT
fcis-20343	149	33	a	a	DET
fcis-20343	149	34	45.3	45.3	NUM
fcis-20343	149	35	39.3	39.3	NUM
fcis-20343	149	36	42	42	NUM
fcis-20343	149	37	35.8	35.8	NUM
fcis-20343	149	38	b	b	NOUN
fcis-20343	149	39	47.1	47.1	NUM
fcis-20343	149	40	37.4	37.4	NUM
fcis-20343	149	41	41.6	41.6	NUM
fcis-20343	149	42	35.5	35.5	NUM
fcis-20343	149	43	c	c	NOUN
fcis-20343	149	44	48.0	48.0	NUM
fcis-20343	149	45	40.0	40.0	NUM
fcis-20343	149	46	43.3	43.3	NUM
fcis-20343	149	47	38.0	38.0	NUM
fcis-20343	149	48	d	d	SYM
fcis-20343	149	49	47.2	47.2	NUM
fcis-20343	149	50	38.8	38.8	NUM
fcis-20343	149	51	42.5	42.5	NUM
fcis-20343	149	52	36.4	36.4	NUM
fcis-20343	149	53	e	e	NOUN
fcis-20343	149	54	45.9	45.9	NUM
fcis-20343	149	55	38.7	38.7	NUM
fcis-20343	149	56	42	42	NUM
fcis-20343	149	57	36.1	36.1	NUM
fcis-20343	149	58	f	f	PROPN
fcis-20343	149	59	46.0	46.0	NUM
fcis-20343	149	60	41.5	41.5	NUM
fcis-20343	149	61	43.6	43.6	NUM
fcis-20343	149	62	38.1	38.1	NUM
fcis-20343	149	63	table	table	NOUN
fcis-20343	149	64	2	2	NUM
fcis-20343	149	65	.	.	PUNCT
fcis-20343	149	66	ablation	ablation	NOUN
fcis-20343	149	67	experiment	experiment	NOUN
fcis-20343	149	68	algorithm	algorithm	NOUN
fcis-20343	149	69	complexity	complexity	NOUN
fcis-20343	149	70	results	result	NOUN
fcis-20343	149	71	method	method	VERB
fcis-20343	149	72	parameters	parameter	NOUN
fcis-20343	149	73	gflops	gflop	NOUN
fcis-20343	149	74	model(mb	model(mb	VERB
fcis-20343	149	75	)	)	PUNCT
fcis-20343	149	76	fps	fps	NOUN
fcis-20343	149	77	a	a	DET
fcis-20343	149	78	6031950	6031950	NUM
fcis-20343	149	79	13.1	13.1	NUM
fcis-20343	149	80	12.3	12.3	NUM
fcis-20343	149	81	94	94	NUM
fcis-20343	149	82	b	b	NOUN
fcis-20343	149	83	4813390	4813390	NUM
fcis-20343	149	84	11.5	11.5	NUM
fcis-20343	149	85	9.9	9.9	NUM
fcis-20343	149	86	90	90	NUM
fcis-20343	149	87	c	c	NOUN
fcis-20343	149	88	4063150	4063150	NUM
fcis-20343	149	89	13.8	13.8	NUM
fcis-20343	149	90	8.5	8.5	NUM
fcis-20343	149	91	73	73	NUM
fcis-20343	149	92	d	d	NOUN
fcis-20343	149	93	6075854	6075854	NUM
fcis-20343	150	1	13.1	13.1	NUM
fcis-20343	150	2	12.4	12.4	NUM
fcis-20343	150	3	88	88	NUM
fcis-20343	150	4	e	e	NOUN
fcis-20343	150	5	6031950	6031950	NUM
fcis-20343	150	6	13.1	13.1	NUM
fcis-20343	150	7	12.3	12.3	NUM
fcis-20343	150	8	93	93	NUM
fcis-20343	150	9	f	f	PROPN
fcis-20343	150	10	2888494	2888494	NUM
fcis-20343	150	11	12.3	12.3	NUM
fcis-20343	150	12	6.2	6.2	NUM
fcis-20343	150	13	66	66	NUM
fcis-20343	150	14	4.4	4.4	NUM
fcis-20343	150	15	.	.	PUNCT
fcis-20343	151	1	comparative	comparative	ADJ
fcis-20343	151	2	experiment	experiment	NOUN
fcis-20343	151	3	table	table	NOUN
fcis-20343	151	4	3	3	NUM
fcis-20343	151	5	.	.	PUNCT
fcis-20343	151	6	ablation	ablation	NOUN
fcis-20343	151	7	experiment	experiment	NOUN
fcis-20343	151	8	algorithm	algorithm	NOUN
fcis-20343	151	9	complexity	complexity	NOUN
fcis-20343	151	10	results	result	NOUN
fcis-20343	151	11	method	method	VERB
fcis-20343	151	12	p	p	X
fcis-20343	151	13	(	(	PUNCT
fcis-20343	151	14	%	%	INTJ
fcis-20343	151	15	)	)	PUNCT
fcis-20343	151	16	r	r	NOUN
fcis-20343	151	17	(	(	PUNCT
fcis-20343	151	18	%	%	INTJ
fcis-20343	151	19	)	)	PUNCT
fcis-20343	151	20	f1(%	f1(%	NOUN
fcis-20343	151	21	)	)	PUNCT
fcis-20343	151	22	map	map	NOUN
fcis-20343	151	23	(	(	PUNCT
fcis-20343	151	24	%	%	INTJ
fcis-20343	151	25	)	)	PUNCT
fcis-20343	151	26	ciou	ciou	NOUN
fcis-20343	151	27	45.3	45.3	NUM
fcis-20343	151	28	39.3	39.3	NUM
fcis-20343	151	29	42	42	NUM
fcis-20343	151	30	35.8	35.8	NUM
fcis-20343	151	31	eiou	eiou	NOUN
fcis-20343	151	32	46.0	46.0	NUM
fcis-20343	151	33	38.6	38.6	NUM
fcis-20343	151	34	41.9	41.9	NUM
fcis-20343	151	35	35.7	35.7	NUM
fcis-20343	151	36	focal	focal	ADJ
fcis-20343	151	37	eiou	eiou	NOUN
fcis-20343	151	38	45.7	45.7	NUM
fcis-20343	151	39	39.1	39.1	NUM
fcis-20343	151	40	42.1	42.1	NUM
fcis-20343	151	41	36.0	36.0	NUM
fcis-20343	151	42	giou	giou	NOUN
fcis-20343	151	43	45.9	45.9	NUM
fcis-20343	151	44	38.8	38.8	NUM
fcis-20343	151	45	42	42	NUM
fcis-20343	151	46	36.0	36.0	NUM
fcis-20343	151	47	wiou	wiou	NOUN
fcis-20343	151	48	47.3	47.3	NUM
fcis-20343	151	49	37.3	37.3	NUM
fcis-20343	151	50	41.7	41.7	NUM
fcis-20343	151	51	35.7	35.7	NUM
fcis-20343	151	52	siou	siou	NOUN
fcis-20343	151	53	45.9	45.9	NUM
fcis-20343	151	54	38.7	38.7	NUM
fcis-20343	151	55	42.1	42.1	NUM
fcis-20343	151	56	36.1	36.1	NUM
fcis-20343	151	57	in	in	ADP
fcis-20343	151	58	this	this	DET
fcis-20343	151	59	paper	paper	NOUN
fcis-20343	151	60	,	,	PUNCT
fcis-20343	151	61	in	in	ADP
fcis-20343	151	62	order	order	NOUN
fcis-20343	151	63	to	to	PART
fcis-20343	151	64	verify	verify	VERB
fcis-20343	151	65	the	the	DET
fcis-20343	151	66	effectiveness	effectiveness	NOUN
fcis-20343	151	67	of	of	ADP
fcis-20343	151	68	the	the	DET
fcis-20343	151	69	improved	improve	VERB
fcis-20343	151	70	loss	loss	NOUN
fcis-20343	151	71	function	function	NOUN
fcis-20343	151	72	in	in	ADP
fcis-20343	151	73	the	the	DET
fcis-20343	151	74	uav	uav	PROPN
fcis-20343	151	75	aerial	aerial	ADJ
fcis-20343	151	76	image	image	NOUN
fcis-20343	151	77	detection	detection	NOUN
fcis-20343	151	78	,	,	PUNCT
fcis-20343	151	79	a	a	DET
fcis-20343	151	80	comparative	comparative	ADJ
fcis-20343	151	81	experiment	experiment	NOUN
fcis-20343	151	82	is	be	AUX
fcis-20343	151	83	conducted	conduct	VERB
fcis-20343	151	84	with	with	ADP
fcis-20343	151	85	the	the	DET
fcis-20343	151	86	current	current	ADJ
fcis-20343	151	87	mainstream	mainstream	NOUN
fcis-20343	151	88	bounding	bounding	NOUN
fcis-20343	151	89	box	box	NOUN
fcis-20343	151	90	regression	regression	NOUN
fcis-20343	151	91	loss	loss	NOUN
fcis-20343	151	92	function	function	NOUN
fcis-20343	151	93	,	,	PUNCT
fcis-20343	151	94	including	include	VERB
fcis-20343	151	95	41	41	NUM
fcis-20343	151	96	eiou	eiou	NOUN
fcis-20343	151	97	,	,	PUNCT
fcis-20343	151	98	focal	focal	ADJ
fcis-20343	151	99	eiou	eiou	NOUN
fcis-20343	151	100	[	[	X
fcis-20343	151	101	36	36	NUM
fcis-20343	151	102	]	]	PUNCT
fcis-20343	151	103	,	,	PUNCT
fcis-20343	151	104	giou	giou	VERB
fcis-20343	151	105	[	[	X
fcis-20343	151	106	37	37	NUM
fcis-20343	151	107	]	]	PUNCT
fcis-20343	151	108	,	,	PUNCT
fcis-20343	151	109	siou	siou	NOUN
fcis-20343	151	110	,	,	PUNCT
fcis-20343	151	111	and	and	CCONJ
fcis-20343	151	112	wiou	wiou	VERB
fcis-20343	151	113	[	[	X
fcis-20343	151	114	38	38	NUM
fcis-20343	151	115	]	]	PUNCT
fcis-20343	151	116	.	.	PUNCT
fcis-20343	152	1	the	the	DET
fcis-20343	152	2	experimental	experimental	ADJ
fcis-20343	152	3	results	result	NOUN
fcis-20343	152	4	are	be	AUX
fcis-20343	152	5	shown	show	VERB
fcis-20343	152	6	in	in	ADP
fcis-20343	152	7	table	table	NOUN
fcis-20343	152	8	3	3	NUM
fcis-20343	152	9	.	.	PUNCT
fcis-20343	152	10	from	from	ADP
fcis-20343	152	11	the	the	DET
fcis-20343	152	12	analysis	analysis	NOUN
fcis-20343	152	13	of	of	ADP
fcis-20343	152	14	the	the	DET
fcis-20343	152	15	results	result	NOUN
fcis-20343	152	16	of	of	ADP
fcis-20343	152	17	the	the	DET
fcis-20343	152	18	comparison	comparison	NOUN
fcis-20343	152	19	experiments	experiment	NOUN
fcis-20343	152	20	of	of	ADP
fcis-20343	152	21	different	different	ADJ
fcis-20343	152	22	bounding	bounding	NOUN
fcis-20343	152	23	box	box	NOUN
fcis-20343	152	24	regression	regression	NOUN
fcis-20343	152	25	loss	loss	NOUN
fcis-20343	152	26	functions	function	NOUN
fcis-20343	152	27	in	in	ADP
fcis-20343	152	28	table	table	NOUN
fcis-20343	152	29	3	3	NUM
fcis-20343	152	30	,	,	PUNCT
fcis-20343	152	31	it	it	PRON
fcis-20343	152	32	can	can	AUX
fcis-20343	152	33	be	be	AUX
fcis-20343	152	34	seen	see	VERB
fcis-20343	152	35	that	that	SCONJ
fcis-20343	152	36	the	the	DET
fcis-20343	152	37	detection	detection	NOUN
fcis-20343	152	38	performance	performance	NOUN
fcis-20343	152	39	of	of	ADP
fcis-20343	152	40	the	the	DET
fcis-20343	152	41	algorithm	algorithm	NOUN
fcis-20343	152	42	brought	bring	VERB
fcis-20343	152	43	by	by	ADP
fcis-20343	152	44	the	the	DET
fcis-20343	152	45	improvement	improvement	NOUN
fcis-20343	152	46	of	of	ADP
fcis-20343	152	47	the	the	DET
fcis-20343	152	48	siou	siou	NOUN
fcis-20343	152	49	bounding	bound	VERB
fcis-20343	152	50	box	box	NOUN
fcis-20343	152	51	regression	regression	NOUN
fcis-20343	152	52	loss	loss	NOUN
fcis-20343	152	53	function	function	NOUN
fcis-20343	152	54	is	be	AUX
fcis-20343	152	55	the	the	DET
fcis-20343	152	56	best	good	ADJ
fcis-20343	152	57	among	among	ADP
fcis-20343	152	58	the	the	DET
fcis-20343	152	59	comparison	comparison	NOUN
fcis-20343	152	60	experiments	experiment	NOUN
fcis-20343	152	61	of	of	ADP
fcis-20343	152	62	the	the	DET
fcis-20343	152	63	different	different	ADJ
fcis-20343	152	64	bounding	bounding	NOUN
fcis-20343	152	65	box	box	NOUN
fcis-20343	152	66	regression	regression	NOUN
fcis-20343	152	67	loss	loss	NOUN
fcis-20343	152	68	functions	function	NOUN
fcis-20343	152	69	,	,	PUNCT
fcis-20343	152	70	which	which	PRON
fcis-20343	152	71	indicates	indicate	VERB
fcis-20343	152	72	that	that	SCONJ
fcis-20343	152	73	the	the	DET
fcis-20343	152	74	improved	improved	ADJ
fcis-20343	152	75	method	method	NOUN
fcis-20343	152	76	of	of	ADP
fcis-20343	152	77	replacing	replace	VERB
fcis-20343	152	78	the	the	DET
fcis-20343	152	79	original	original	ADJ
fcis-20343	152	80	network	network	NOUN
fcis-20343	152	81	ciou	ciou	NOUN
fcis-20343	152	82	bounding	bounding	NOUN
fcis-20343	152	83	box	box	NOUN
fcis-20343	152	84	regression	regression	NOUN
fcis-20343	152	85	loss	loss	NOUN
fcis-20343	152	86	function	function	NOUN
fcis-20343	152	87	with	with	ADP
fcis-20343	152	88	the	the	DET
fcis-20343	152	89	siou	siou	NOUN
fcis-20343	152	90	bounding	bound	VERB
fcis-20343	152	91	box	box	NOUN
fcis-20343	152	92	regression	regression	NOUN
fcis-20343	152	93	loss	loss	NOUN
fcis-20343	152	94	function	function	NOUN
fcis-20343	152	95	in	in	ADP
fcis-20343	152	96	this	this	DET
fcis-20343	152	97	chapter	chapter	NOUN
fcis-20343	152	98	is	be	AUX
fcis-20343	152	99	effective	effective	ADJ
fcis-20343	152	100	for	for	ADP
fcis-20343	152	101	the	the	DET
fcis-20343	152	102	design	design	NOUN
fcis-20343	152	103	of	of	ADP
fcis-20343	152	104	the	the	DET
fcis-20343	152	105	target	target	NOUN
fcis-20343	152	106	detection	detection	NOUN
fcis-20343	152	107	algorithm	algorithm	NOUN
fcis-20343	152	108	of	of	ADP
fcis-20343	152	109	the	the	DET
fcis-20343	152	110	aerial	aerial	ADJ
fcis-20343	152	111	image	image	NOUN
fcis-20343	152	112	of	of	ADP
fcis-20343	152	113	the	the	DET
fcis-20343	152	114	lightweight	lightweight	PROPN
fcis-20343	152	115	uav	uav	PROPN
fcis-20343	152	116	.	.	PUNCT
fcis-20343	153	1	in	in	ADP
fcis-20343	153	2	order	order	NOUN
fcis-20343	153	3	to	to	PART
fcis-20343	153	4	verify	verify	VERB
fcis-20343	153	5	the	the	DET
fcis-20343	153	6	superiority	superiority	NOUN
fcis-20343	153	7	of	of	ADP
fcis-20343	153	8	the	the	DET
fcis-20343	153	9	lightweight	lightweight	PROPN
fcis-20343	153	10	uav	uav	PROPN
fcis-20343	153	11	aerial	aerial	ADJ
fcis-20343	153	12	target	target	NOUN
fcis-20343	153	13	detection	detection	NOUN
fcis-20343	153	14	algorithm	algorithm	NOUN
fcis-20343	153	15	proposed	propose	VERB
fcis-20343	153	16	in	in	ADP
fcis-20343	153	17	this	this	DET
fcis-20343	153	18	paper	paper	NOUN
fcis-20343	153	19	,	,	PUNCT
fcis-20343	153	20	in	in	ADP
fcis-20343	153	21	addition	addition	NOUN
fcis-20343	153	22	to	to	ADP
fcis-20343	153	23	the	the	DET
fcis-20343	153	24	comparison	comparison	NOUN
fcis-20343	153	25	with	with	ADP
fcis-20343	153	26	the	the	DET
fcis-20343	153	27	basic	basic	ADJ
fcis-20343	153	28	algorithm	algorithm	NOUN
fcis-20343	153	29	yolov7	yolov7	NOUN
fcis-20343	153	30	-	-	PUNCT
fcis-20343	153	31	tiny	tiny	ADJ
fcis-20343	153	32	,	,	PUNCT
fcis-20343	153	33	it	it	PRON
fcis-20343	153	34	also	also	ADV
fcis-20343	153	35	carries	carry	VERB
fcis-20343	153	36	out	out	ADP
fcis-20343	153	37	comparison	comparison	NOUN
fcis-20343	153	38	experiments	experiment	NOUN
fcis-20343	153	39	with	with	ADP
fcis-20343	153	40	the	the	DET
fcis-20343	153	41	mainstream	mainstream	NOUN
fcis-20343	153	42	lightweight	lightweight	NOUN
fcis-20343	153	43	target	target	NOUN
fcis-20343	153	44	detection	detection	NOUN
fcis-20343	153	45	algorithms	algorithm	NOUN
fcis-20343	153	46	in	in	ADP
fcis-20343	153	47	the	the	DET
fcis-20343	153	48	current	current	ADJ
fcis-20343	153	49	yolo	yolo	ADJ
fcis-20343	153	50	series	series	NOUN
fcis-20343	153	51	of	of	ADP
fcis-20343	153	52	algorithms	algorithms	PROPN
fcis-20343	153	53	yolov3	yolov3	PROPN
fcis-20343	153	54	-	-	PUNCT
fcis-20343	153	55	tiny	tiny	ADJ
fcis-20343	153	56	,	,	PUNCT
fcis-20343	153	57	yolov5n	yolov5n	ADJ
fcis-20343	153	58	,	,	PUNCT
fcis-20343	153	59	and	and	CCONJ
fcis-20343	153	60	yolov8n	yolov8n	NOUN
fcis-20343	153	61	,	,	PUNCT
fcis-20343	153	62	and	and	CCONJ
fcis-20343	153	63	the	the	DET
fcis-20343	153	64	comparison	comparison	NOUN
fcis-20343	153	65	experimental	experimental	ADJ
fcis-20343	153	66	results	result	NOUN
fcis-20343	153	67	obtained	obtain	VERB
fcis-20343	153	68	by	by	ADP
fcis-20343	153	69	the	the	DET
fcis-20343	153	70	used	use	VERB
fcis-20343	153	71	are	be	AUX
fcis-20343	153	72	shown	show	VERB
fcis-20343	153	73	in	in	ADP
fcis-20343	153	74	table	table	NOUN
fcis-20343	153	75	4	4	NUM
fcis-20343	153	76	:	:	PUNCT
fcis-20343	153	77	table	table	NOUN
fcis-20343	153	78	4	4	NUM
fcis-20343	153	79	.	.	PUNCT
fcis-20343	153	80	performance	performance	NOUN
fcis-20343	153	81	results	result	NOUN
fcis-20343	153	82	of	of	ADP
fcis-20343	153	83	the	the	DET
fcis-20343	153	84	ablation	ablation	NOUN
fcis-20343	153	85	experiment	experiment	NOUN
fcis-20343	153	86	algorithm	algorithm	NOUN
fcis-20343	153	87	method	method	NOUN
fcis-20343	153	88	p(%	p(%	NOUN
fcis-20343	153	89	)	)	PUNCT
fcis-20343	154	1	r(%	r(%	NOUN
fcis-20343	154	2	)	)	PUNCT
fcis-20343	154	3	map(%	map(%	NOUN
fcis-20343	154	4	)	)	PUNCT
fcis-20343	154	5	parameters	parameter	NOUN
fcis-20343	154	6	yolov3	yolov3	PROPN
fcis-20343	154	7	-	-	PUNCT
fcis-20343	154	8	tiny	tiny	ADJ
fcis-20343	154	9	28.2	28.2	NUM
fcis-20343	154	10	23.3	23.3	NUM
fcis-20343	154	11	16.9	16.9	NUM
fcis-20343	154	12	8687482	8687482	NUM
fcis-20343	154	13	yolov5n	yolov5n	PROPN
fcis-20343	154	14	38.4	38.4	NUM
fcis-20343	154	15	28.5	28.5	NUM
fcis-20343	154	16	27.3	27.3	NUM
fcis-20343	154	17	1772695	1772695	NUM
fcis-20343	154	18	yolov7	yolov7	ADV
fcis-20343	154	19	-	-	PUNCT
fcis-20343	154	20	tiny	tiny	ADJ
fcis-20343	154	21	45.3	45.3	NUM
fcis-20343	154	22	39.3	39.3	NUM
fcis-20343	154	23	35.8	35.8	NUM
fcis-20343	155	1	6031950	6031950	NUM
fcis-20343	155	2	yolov8n	yolov8n	NOUN
fcis-20343	155	3	46.9	46.9	NUM
fcis-20343	155	4	34.2	34.2	NUM
fcis-20343	155	5	35.1	35.1	NUM
fcis-20343	155	6	3007598	3007598	NUM
fcis-20343	155	7	ours	ours	PRON
fcis-20343	155	8	46.0	46.0	NUM
fcis-20343	155	9	41.5	41.5	NUM
fcis-20343	155	10	38.1	38.1	NUM
fcis-20343	155	11	2888494	2888494	NUM
fcis-20343	155	12	from	from	ADP
fcis-20343	155	13	the	the	DET
fcis-20343	155	14	comparison	comparison	NOUN
fcis-20343	155	15	experimental	experimental	ADJ
fcis-20343	155	16	results	result	NOUN
fcis-20343	155	17	of	of	ADP
fcis-20343	155	18	different	different	ADJ
fcis-20343	155	19	algorithms	algorithm	NOUN
fcis-20343	155	20	in	in	ADP
fcis-20343	155	21	table	table	NOUN
fcis-20343	155	22	4	4	NUM
fcis-20343	155	23	,	,	PUNCT
fcis-20343	155	24	it	it	PRON
fcis-20343	155	25	can	can	AUX
fcis-20343	155	26	be	be	AUX
fcis-20343	155	27	seen	see	VERB
fcis-20343	155	28	that	that	SCONJ
fcis-20343	155	29	the	the	DET
fcis-20343	155	30	lightweight	lightweight	PROPN
fcis-20343	155	31	uav	uav	PROPN
fcis-20343	155	32	aerial	aerial	ADJ
fcis-20343	155	33	image	image	NOUN
fcis-20343	155	34	target	target	NOUN
fcis-20343	155	35	detection	detection	NOUN
fcis-20343	155	36	algorithm	algorithm	NOUN
fcis-20343	155	37	proposed	propose	VERB
fcis-20343	155	38	in	in	ADP
fcis-20343	155	39	this	this	DET
fcis-20343	155	40	chapter	chapter	NOUN
fcis-20343	155	41	is	be	AUX
fcis-20343	155	42	second	second	ADJ
fcis-20343	155	43	only	only	ADV
fcis-20343	155	44	to	to	ADP
fcis-20343	155	45	the	the	DET
fcis-20343	155	46	yolov5n	yolov5n	PROPN
fcis-20343	155	47	algorithm	algorithm	PROPN
fcis-20343	155	48	,	,	PUNCT
fcis-20343	155	49	which	which	PRON
fcis-20343	155	50	has	have	VERB
fcis-20343	155	51	the	the	DET
fcis-20343	155	52	smallest	small	ADJ
fcis-20343	155	53	model	model	NOUN
fcis-20343	155	54	among	among	ADP
fcis-20343	155	55	the	the	DET
fcis-20343	155	56	mainstream	mainstream	NOUN
fcis-20343	155	57	lightweight	lightweight	NOUN
fcis-20343	155	58	target	target	NOUN
fcis-20343	155	59	detection	detection	NOUN
fcis-20343	155	60	algorithms	algorithm	NOUN
fcis-20343	155	61	,	,	PUNCT
fcis-20343	155	62	in	in	ADP
fcis-20343	155	63	terms	term	NOUN
fcis-20343	155	64	of	of	ADP
fcis-20343	155	65	model	model	NOUN
fcis-20343	155	66	size	size	NOUN
fcis-20343	155	67	,	,	PUNCT
fcis-20343	155	68	and	and	CCONJ
fcis-20343	155	69	the	the	DET
fcis-20343	155	70	algorithm	algorithm	NOUN
fcis-20343	155	71	's	's	PART
fcis-20343	155	72	precision	precision	NOUN
fcis-20343	155	73	rate	rate	NOUN
fcis-20343	155	74	p	p	NOUN
fcis-20343	155	75	,	,	PUNCT
fcis-20343	155	76	recall	recall	NOUN
fcis-20343	155	77	rate	rate	NOUN
fcis-20343	155	78	r	r	NOUN
fcis-20343	155	79	,	,	PUNCT
fcis-20343	155	80	f1	f1	NOUN
fcis-20343	155	81	value	value	NOUN
fcis-20343	155	82	,	,	PUNCT
fcis-20343	155	83	and	and	CCONJ
fcis-20343	155	84	average	average	ADJ
fcis-20343	155	85	detection	detection	NOUN
fcis-20343	155	86	accuracy	accuracy	NOUN
fcis-20343	155	87	mean	mean	NOUN
fcis-20343	155	88	map	map	NOUN
fcis-20343	155	89	are	be	AUX
fcis-20343	155	90	respectively	respectively	ADV
fcis-20343	155	91	7.6	7.6	NUM
fcis-20343	155	92	%	%	NOUN
fcis-20343	155	93	,	,	PUNCT
fcis-20343	155	94	13	13	NUM
fcis-20343	155	95	%	%	NOUN
fcis-20343	155	96	,	,	PUNCT
fcis-20343	155	97	10.9	10.9	NUM
fcis-20343	155	98	%	%	NOUN
fcis-20343	155	99	and	and	CCONJ
fcis-20343	155	100	10.8	10.8	NUM
fcis-20343	155	101	%	%	NOUN
fcis-20343	155	102	;	;	PUNCT
fcis-20343	155	103	compared	compare	VERB
fcis-20343	155	104	to	to	ADP
fcis-20343	155	105	the	the	DET
fcis-20343	155	106	latest	late	ADJ
fcis-20343	155	107	lightweight	lightweight	ADJ
fcis-20343	155	108	target	target	NOUN
fcis-20343	155	109	detection	detection	NOUN
fcis-20343	155	110	algorithm	algorithm	NOUN
fcis-20343	155	111	yolov8n	yolov8n	PROPN
fcis-20343	155	112	,	,	PUNCT
fcis-20343	155	113	although	although	SCONJ
fcis-20343	155	114	the	the	DET
fcis-20343	155	115	precision	precision	NOUN
fcis-20343	155	116	rate	rate	NOUN
fcis-20343	155	117	p	p	NOUN
fcis-20343	155	118	of	of	ADP
fcis-20343	155	119	the	the	DET
fcis-20343	155	120	algorithm	algorithm	NOUN
fcis-20343	155	121	is	be	AUX
fcis-20343	155	122	0.9	0.9	NUM
fcis-20343	155	123	%	%	NOUN
fcis-20343	155	124	lower	low	ADJ
fcis-20343	155	125	,	,	PUNCT
fcis-20343	155	126	the	the	DET
fcis-20343	155	127	algorithm	algorithm	NOUN
fcis-20343	155	128	's	's	PART
fcis-20343	155	129	recall	recall	NOUN
fcis-20343	155	130	rate	rate	NOUN
fcis-20343	155	131	r	r	NOUN
fcis-20343	155	132	,	,	PUNCT
fcis-20343	155	133	f1	f1	NOUN
fcis-20343	155	134	value	value	NOUN
fcis-20343	155	135	,	,	PUNCT
fcis-20343	155	136	and	and	CCONJ
fcis-20343	155	137	mean	mean	VERB
fcis-20343	155	138	average	average	ADJ
fcis-20343	155	139	detection	detection	NOUN
fcis-20343	155	140	accuracy	accuracy	NOUN
fcis-20343	155	141	map	map	NOUN
fcis-20343	155	142	are	be	AUX
fcis-20343	155	143	7.6	7.6	NUM
fcis-20343	155	144	%	%	NOUN
fcis-20343	155	145	,	,	PUNCT
fcis-20343	155	146	7.3	7.3	NUM
fcis-20343	155	147	%	%	NOUN
fcis-20343	155	148	,	,	PUNCT
fcis-20343	155	149	4	4	NUM
fcis-20343	155	150	%	%	NOUN
fcis-20343	155	151	,	,	PUNCT
fcis-20343	155	152	and	and	CCONJ
fcis-20343	155	153	3	3	NUM
fcis-20343	155	154	%	%	NOUN
fcis-20343	155	155	higher	high	ADJ
fcis-20343	155	156	,	,	PUNCT
fcis-20343	155	157	respectively	respectively	ADV
fcis-20343	155	158	.	.	PUNCT
fcis-20343	156	1	so	so	ADV
fcis-20343	156	2	comprehensively	comprehensively	ADV
fcis-20343	156	3	,	,	PUNCT
fcis-20343	156	4	the	the	DET
fcis-20343	156	5	lightweight	lightweight	PROPN
fcis-20343	156	6	uav	uav	PROPN
fcis-20343	156	7	aerial	aerial	ADJ
fcis-20343	156	8	image	image	NOUN
fcis-20343	156	9	target	target	NOUN
fcis-20343	156	10	detection	detection	NOUN
fcis-20343	156	11	algorithm	algorithm	NOUN
fcis-20343	156	12	proposed	propose	VERB
fcis-20343	156	13	in	in	ADP
fcis-20343	156	14	this	this	DET
fcis-20343	156	15	chapter	chapter	NOUN
fcis-20343	156	16	has	have	VERB
fcis-20343	156	17	better	well	ADJ
fcis-20343	156	18	algorithmic	algorithmic	ADJ
fcis-20343	156	19	superiority	superiority	NOUN
fcis-20343	156	20	and	and	CCONJ
fcis-20343	156	21	can	can	AUX
fcis-20343	156	22	be	be	AUX
fcis-20343	156	23	better	well	ADV
fcis-20343	156	24	deployed	deploy	VERB
fcis-20343	156	25	and	and	CCONJ
fcis-20343	156	26	applied	apply	VERB
fcis-20343	156	27	to	to	ADP
fcis-20343	156	28	edge	edge	NOUN
fcis-20343	156	29	computing	computing	NOUN
fcis-20343	156	30	platforms	platform	NOUN
fcis-20343	156	31	with	with	ADP
fcis-20343	156	32	better	well	ADJ
fcis-20343	156	33	detection	detection	NOUN
fcis-20343	156	34	performance	performance	NOUN
fcis-20343	156	35	compared	compare	VERB
fcis-20343	156	36	to	to	ADP
fcis-20343	156	37	the	the	DET
fcis-20343	156	38	current	current	ADJ
fcis-20343	156	39	mainstream	mainstream	NOUN
fcis-20343	156	40	lightweight	lightweight	NOUN
fcis-20343	156	41	target	target	NOUN
fcis-20343	156	42	detection	detection	NOUN
fcis-20343	156	43	algorithms	algorithm	NOUN
fcis-20343	156	44	.	.	PUNCT
fcis-20343	157	1	4.5	4.5	NUM
fcis-20343	157	2	.	.	PUNCT
fcis-20343	158	1	visual	visual	ADJ
fcis-20343	158	2	result	result	VERB
fcis-20343	158	3	analysis	analysis	NOUN
fcis-20343	158	4	in	in	SCONJ
fcis-20343	158	5	order	order	NOUN
fcis-20343	158	6	to	to	PART
fcis-20343	158	7	more	more	ADV
fcis-20343	158	8	intuitively	intuitively	ADV
fcis-20343	158	9	reflect	reflect	VERB
fcis-20343	158	10	the	the	DET
fcis-20343	158	11	advantages	advantage	NOUN
fcis-20343	158	12	of	of	ADP
fcis-20343	158	13	the	the	DET
fcis-20343	158	14	proposed	propose	VERB
fcis-20343	158	15	algorithm	algorithm	NOUN
fcis-20343	158	16	in	in	ADP
fcis-20343	158	17	the	the	DET
fcis-20343	158	18	target	target	NOUN
fcis-20343	158	19	detection	detection	NOUN
fcis-20343	158	20	effect	effect	NOUN
fcis-20343	158	21	of	of	ADP
fcis-20343	158	22	uav	uav	PROPN
fcis-20343	158	23	aerial	aerial	ADJ
fcis-20343	158	24	images	image	NOUN
fcis-20343	158	25	,	,	PUNCT
fcis-20343	158	26	aerial	aerial	ADJ
fcis-20343	158	27	images	image	NOUN
fcis-20343	158	28	in	in	ADP
fcis-20343	158	29	different	different	ADJ
fcis-20343	158	30	environments	environment	NOUN
fcis-20343	158	31	are	be	AUX
fcis-20343	158	32	selected	select	VERB
fcis-20343	158	33	from	from	ADP
fcis-20343	158	34	the	the	DET
fcis-20343	158	35	visdrone2019	visdrone2019	PROPN
fcis-20343	158	36	data	datum	NOUN
fcis-20343	158	37	set	set	VERB
fcis-20343	158	38	as	as	ADP
fcis-20343	158	39	test	test	NOUN
fcis-20343	158	40	images	image	NOUN
fcis-20343	158	41	,	,	PUNCT
fcis-20343	158	42	and	and	CCONJ
fcis-20343	158	43	the	the	DET
fcis-20343	158	44	lightweight	lightweight	ADJ
fcis-20343	158	45	detection	detection	NOUN
fcis-20343	158	46	network	network	NOUN
fcis-20343	158	47	proposed	propose	VERB
fcis-20343	158	48	in	in	ADP
fcis-20343	158	49	this	this	DET
fcis-20343	158	50	paper	paper	NOUN
fcis-20343	158	51	and	and	CCONJ
fcis-20343	158	52	the	the	DET
fcis-20343	158	53	basic	basic	ADJ
fcis-20343	158	54	network	network	NOUN
fcis-20343	158	55	yolov7	yolov7	NOUN
fcis-20343	158	56	-	-	PUNCT
fcis-20343	158	57	tiny	tiny	ADJ
fcis-20343	158	58	are	be	AUX
fcis-20343	158	59	used	use	VERB
fcis-20343	158	60	to	to	PART
fcis-20343	158	61	test	test	VERB
fcis-20343	158	62	respectively	respectively	ADV
fcis-20343	158	63	,	,	PUNCT
fcis-20343	158	64	and	and	CCONJ
fcis-20343	158	65	the	the	DET
fcis-20343	158	66	test	test	NOUN
fcis-20343	158	67	results	result	NOUN
fcis-20343	158	68	are	be	AUX
fcis-20343	158	69	shown	show	VERB
fcis-20343	158	70	in	in	ADP
fcis-20343	158	71	figure	figure	NOUN
fcis-20343	158	72	7	7	NUM
fcis-20343	158	73	.	.	PUNCT
fcis-20343	159	1	(	(	PUNCT
fcis-20343	159	2	a	a	X
fcis-20343	159	3	)	)	PUNCT
fcis-20343	159	4	baseline	baseline	NOUN
fcis-20343	159	5	mode	mode	NOUN
fcis-20343	159	6	(	(	PUNCT
fcis-20343	159	7	yolov7	yolov7	ADV
fcis-20343	159	8	-	-	PUNCT
fcis-20343	159	9	tiny	tiny	ADJ
fcis-20343	159	10	)	)	PUNCT
fcis-20343	159	11	(	(	PUNCT
fcis-20343	159	12	b	b	X
fcis-20343	159	13	)	)	PUNCT
fcis-20343	159	14	algorithm	algorithm	NOUN
fcis-20343	159	15	of	of	ADP
fcis-20343	159	16	this	this	DET
fcis-20343	159	17	paper	paper	NOUN
fcis-20343	159	18	figure	figure	NOUN
fcis-20343	159	19	7	7	NUM
fcis-20343	159	20	.	.	PUNCT
fcis-20343	159	21	comparison	comparison	NOUN
fcis-20343	159	22	of	of	ADP
fcis-20343	159	23	detection	detection	NOUN
fcis-20343	159	24	results	result	NOUN
fcis-20343	159	25	from	from	ADP
fcis-20343	159	26	figure	figure	NOUN
fcis-20343	159	27	7	7	NUM
fcis-20343	159	28	,	,	PUNCT
fcis-20343	159	29	it	it	PRON
fcis-20343	159	30	is	be	AUX
fcis-20343	159	31	easy	easy	ADJ
fcis-20343	159	32	to	to	PART
fcis-20343	159	33	see	see	VERB
fcis-20343	159	34	that	that	SCONJ
fcis-20343	159	35	the	the	DET
fcis-20343	159	36	improved	improved	ADJ
fcis-20343	159	37	algorithm	algorithm	NOUN
fcis-20343	159	38	can	can	AUX
fcis-20343	159	39	effectively	effectively	ADV
fcis-20343	159	40	solve	solve	VERB
fcis-20343	159	41	the	the	DET
fcis-20343	159	42	problem	problem	NOUN
fcis-20343	159	43	of	of	ADP
fcis-20343	159	44	target	target	NOUN
fcis-20343	159	45	missed	miss	VERB
fcis-20343	159	46	detection	detection	NOUN
fcis-20343	159	47	due	due	ADP
fcis-20343	159	48	to	to	ADP
fcis-20343	159	49	the	the	DET
fcis-20343	159	50	dense	dense	ADJ
fcis-20343	159	51	distribution	distribution	NOUN
fcis-20343	159	52	of	of	ADP
fcis-20343	159	53	targets	target	NOUN
fcis-20343	159	54	and	and	CCONJ
fcis-20343	159	55	the	the	DET
fcis-20343	159	56	phenomenon	phenomenon	NOUN
fcis-20343	159	57	of	of	ADP
fcis-20343	159	58	target	target	NOUN
fcis-20343	159	59	occlusion	occlusion	NOUN
fcis-20343	159	60	in	in	ADP
fcis-20343	159	61	aerial	aerial	ADJ
fcis-20343	159	62	images	image	NOUN
fcis-20343	159	63	,	,	PUNCT
fcis-20343	159	64	and	and	CCONJ
fcis-20343	159	65	effectively	effectively	ADV
fcis-20343	159	66	improve	improve	VERB
fcis-20343	159	67	the	the	DET
fcis-20343	159	68	detection	detection	NOUN
fcis-20343	159	69	performance	performance	NOUN
fcis-20343	159	70	of	of	ADP
fcis-20343	159	71	the	the	DET
fcis-20343	159	72	algorithm	algorithm	NOUN
fcis-20343	159	73	.	.	PUNCT
fcis-20343	160	1	5	5	X
fcis-20343	160	2	.	.	X
fcis-20343	160	3	conclusion	conclusion	NOUN
fcis-20343	160	4	in	in	ADP
fcis-20343	160	5	this	this	DET
fcis-20343	160	6	paper	paper	NOUN
fcis-20343	160	7	,	,	PUNCT
fcis-20343	160	8	based	base	VERB
fcis-20343	160	9	on	on	ADP
fcis-20343	160	10	the	the	DET
fcis-20343	160	11	yolov7	yolov7	ADV
fcis-20343	160	12	-	-	PUNCT
fcis-20343	160	13	tiny	tiny	ADJ
fcis-20343	160	14	algorithm	algorithm	NOUN
fcis-20343	160	15	,	,	PUNCT
fcis-20343	160	16	a	a	DET
fcis-20343	160	17	lightweight	lightweight	ADJ
fcis-20343	160	18	target	target	NOUN
fcis-20343	160	19	detection	detection	NOUN
fcis-20343	160	20	algorithm	algorithm	NOUN
fcis-20343	160	21	for	for	ADP
fcis-20343	160	22	uav	uav	PROPN
fcis-20343	160	23	aerial	aerial	ADJ
fcis-20343	160	24	image	image	NOUN
fcis-20343	160	25	detection	detection	NOUN
fcis-20343	160	26	is	be	AUX
fcis-20343	160	27	proposed	propose	VERB
fcis-20343	160	28	by	by	ADP
fcis-20343	160	29	using	use	VERB
fcis-20343	160	30	four	four	NUM
fcis-20343	160	31	improvement	improvement	NOUN
fcis-20343	160	32	methods	method	NOUN
fcis-20343	160	33	:	:	PUNCT
fcis-20343	160	34	using	use	VERB
fcis-20343	160	35	partial	partial	ADJ
fcis-20343	160	36	convolutional	convolutional	ADJ
fcis-20343	160	37	pconv	pconv	NOUN
fcis-20343	160	38	to	to	PART
fcis-20343	160	39	improve	improve	VERB
fcis-20343	160	40	the	the	DET
fcis-20343	160	41	backbone	backbone	NOUN
fcis-20343	160	42	network	network	NOUN
fcis-20343	160	43	of	of	ADP
fcis-20343	160	44	the	the	DET
fcis-20343	160	45	base	base	NOUN
fcis-20343	160	46	algorithm	algorithm	NOUN
fcis-20343	160	47	,	,	PUNCT
fcis-20343	160	48	optimizing	optimize	VERB
fcis-20343	160	49	the	the	DET
fcis-20343	160	50	target	target	NOUN
fcis-20343	160	51	detection	detection	NOUN
fcis-20343	160	52	layer	layer	NOUN
fcis-20343	160	53	of	of	ADP
fcis-20343	160	54	the	the	DET
fcis-20343	160	55	network	network	NOUN
fcis-20343	160	56	,	,	PUNCT
fcis-20343	160	57	adding	add	VERB
fcis-20343	160	58	an	an	DET
fcis-20343	160	59	attention	attention	NOUN
fcis-20343	160	60	mechanism	mechanism	NOUN
fcis-20343	160	61	,	,	PUNCT
fcis-20343	160	62	and	and	CCONJ
fcis-20343	160	63	improving	improve	VERB
fcis-20343	160	64	the	the	DET
fcis-20343	160	65	algorithm	algorithm	NOUN
fcis-20343	160	66	bounding	bounding	NOUN
fcis-20343	160	67	box	box	NOUN
fcis-20343	160	68	regression	regression	NOUN
fcis-20343	160	69	loss	loss	NOUN
fcis-20343	160	70	function	function	NOUN
fcis-20343	160	71	.	.	PUNCT
fcis-20343	161	1	the	the	DET
fcis-20343	161	2	results	result	NOUN
fcis-20343	161	3	of	of	ADP
fcis-20343	161	4	ablation	ablation	NOUN
fcis-20343	161	5	experiments	experiment	NOUN
fcis-20343	161	6	and	and	CCONJ
fcis-20343	161	7	comparison	comparison	NOUN
fcis-20343	161	8	experiments	experiment	NOUN
fcis-20343	161	9	conducted	conduct	VERB
fcis-20343	161	10	on	on	ADP
fcis-20343	161	11	the	the	DET
fcis-20343	161	12	public	public	ADJ
fcis-20343	161	13	dataset	dataset	NOUN
fcis-20343	161	14	visdrone2019	visdrone2019	PROPN
fcis-20343	161	15	show	show	VERB
fcis-20343	161	16	that	that	SCONJ
fcis-20343	161	17	the	the	DET
fcis-20343	161	18	improved	improved	ADJ
fcis-20343	161	19	algorithm	algorithm	NOUN
fcis-20343	161	20	in	in	ADP
fcis-20343	161	21	this	this	DET
fcis-20343	161	22	paper	paper	NOUN
fcis-20343	161	23	can	can	AUX
fcis-20343	161	24	satisfy	satisfy	VERB
fcis-20343	161	25	the	the	DET
fcis-20343	161	26	algorithm	algorithm	NOUN
fcis-20343	161	27	's	's	PART
fcis-20343	161	28	demand	demand	NOUN
fcis-20343	161	29	for	for	ADP
fcis-20343	161	30	real	real	ADJ
fcis-20343	161	31	-	-	PUNCT
fcis-20343	161	32	time	time	NOUN
fcis-20343	161	33	detection	detection	NOUN
fcis-20343	161	34	of	of	ADP
fcis-20343	161	35	uav	uav	PROPN
fcis-20343	161	36	aerial	aerial	ADJ
fcis-20343	161	37	images	image	NOUN
fcis-20343	161	38	and	and	CCONJ
fcis-20343	161	39	the	the	DET
fcis-20343	161	40	edge	edge	NOUN
fcis-20343	161	41	computing	compute	VERB
fcis-20343	161	42	platform	platform	NOUN
fcis-20343	161	43	's	's	PART
fcis-20343	161	44	demand	demand	NOUN
fcis-20343	161	45	for	for	ADP
fcis-20343	161	46	algorithm	algorithm	NOUN
fcis-20343	161	47	lightweighting	lightweighte	VERB
fcis-20343	161	48	at	at	ADP
fcis-20343	161	49	the	the	DET
fcis-20343	161	50	same	same	ADJ
fcis-20343	161	51	time	time	NOUN
fcis-20343	161	52	with	with	ADP
fcis-20343	161	53	good	good	ADJ
fcis-20343	161	54	detection	detection	NOUN
fcis-20343	161	55	performance	performance	NOUN
fcis-20343	161	56	,	,	PUNCT
fcis-20343	161	57	which	which	PRON
fcis-20343	161	58	provides	provide	VERB
fcis-20343	161	59	certain	certain	ADJ
fcis-20343	161	60	reference	reference	NOUN
fcis-20343	161	61	value	value	NOUN
fcis-20343	161	62	for	for	ADP
fcis-20343	161	63	the	the	DET
fcis-20343	161	64	application	application	NOUN
fcis-20343	161	65	of	of	ADP
fcis-20343	161	66	uav	uav	PROPN
fcis-20343	161	67	aerial	aerial	ADJ
fcis-20343	161	68	photography	photography	NOUN
fcis-20343	161	69	technology	technology	NOUN
fcis-20343	161	70	.	.	PUNCT
fcis-20343	162	1	however	however	ADV
fcis-20343	162	2	,	,	PUNCT
fcis-20343	162	3	the	the	DET
fcis-20343	162	4	algorithm	algorithm	NOUN
fcis-20343	162	5	in	in	ADP
fcis-20343	162	6	this	this	DET
fcis-20343	162	7	paper	paper	NOUN
fcis-20343	162	8	has	have	VERB
fcis-20343	162	9	further	further	ADJ
fcis-20343	162	10	room	room	NOUN
fcis-20343	162	11	for	for	ADP
fcis-20343	162	12	improvement	improvement	NOUN
fcis-20343	162	13	in	in	ADP
fcis-20343	162	14	the	the	DET
fcis-20343	162	15	target	target	NOUN
fcis-20343	162	16	detection	detection	NOUN
fcis-20343	162	17	accuracy	accuracy	NOUN
fcis-20343	162	18	of	of	ADP
fcis-20343	162	19	uav	uav	PROPN
fcis-20343	162	20	aerial	aerial	ADJ
fcis-20343	162	21	images	image	NOUN
fcis-20343	162	22	,	,	PUNCT
fcis-20343	162	23	which	which	PRON
fcis-20343	162	24	needs	need	VERB
fcis-20343	162	25	to	to	PART
fcis-20343	162	26	be	be	AUX
fcis-20343	162	27	further	far	ADV
fcis-20343	162	28	studied	study	VERB
fcis-20343	162	29	.	.	PUNCT
fcis-20343	163	1	acknowledgments	acknowledgment	NOUN
fcis-20343	163	2	this	this	DET
fcis-20343	163	3	work	work	NOUN
fcis-20343	163	4	was	be	AUX
fcis-20343	163	5	supported	support	VERB
fcis-20343	163	6	by	by	ADP
fcis-20343	163	7	the	the	DET
fcis-20343	163	8	innovation	innovation	NOUN
fcis-20343	163	9	fund	fund	NOUN
fcis-20343	163	10	of	of	ADP
fcis-20343	163	11	postgraduate	postgraduate	NOUN
fcis-20343	163	12	,	,	PUNCT
fcis-20343	163	13	sichuan	sichuan	PROPN
fcis-20343	163	14	university	university	PROPN
fcis-20343	163	15	of	of	ADP
fcis-20343	163	16	science	science	NOUN
fcis-20343	163	17	and	and	CCONJ
fcis-20343	163	18	engineering	engineering	NOUN
fcis-20343	163	19	y2022167	y2022167	PROPN
fcis-20343	163	20	and	and	CCONJ
fcis-20343	163	21	y2022155	y2022155	PROPN
fcis-20343	163	22	.	.	PROPN
fcis-20343	164	1	references	reference	NOUN
fcis-20343	164	2	[	[	X
fcis-20343	164	3	1	1	NUM
fcis-20343	164	4	]	]	PUNCT
fcis-20343	164	5	llanes	llanes	X
fcis-20343	164	6	l	l	NOUN
fcis-20343	164	7	a	a	DET
fcis-20343	164	8	c	c	NOUN
fcis-20343	164	9	,	,	PUNCT
fcis-20343	164	10	ulbis	ulbis	ADJ
fcis-20343	164	11	c	c	NOUN
fcis-20343	164	12	r	r	NOUN
fcis-20343	164	13	h	h	NOUN
fcis-20343	164	14	,	,	PUNCT
fcis-20343	164	15	garcia	garcia	PROPN
fcis-20343	164	16	r	r	PROPN
fcis-20343	164	17	g.	g.	PROPN
fcis-20343	164	18	remote	remote	PROPN
fcis-20343	164	19	controlled	control	VERB
fcis-20343	164	20	unmanned	unmanned	ADJ
fcis-20343	164	21	water	water	NOUN
fcis-20343	164	22	vehicle	vehicle	NOUN
fcis-20343	164	23	with	with	ADP
fcis-20343	164	24	human	human	ADJ
fcis-20343	164	25	detection	detection	NOUN
fcis-20343	164	26	and	and	CCONJ
fcis-20343	164	27	gps	gps	PROPN
fcis-20343	164	28	using	use	VERB
fcis-20343	164	29	yolov4	yolov4	NOUN
fcis-20343	164	30	for	for	ADP
fcis-20343	164	31	flood	flood	NOUN
fcis-20343	164	32	search	search	NOUN
fcis-20343	164	33	operations[c]//2023	operations[c]//2023	DET
fcis-20343	164	34	9th	9th	ADJ
fcis-20343	164	35	international	international	ADJ
fcis-20343	164	36	conference	conference	NOUN
fcis-20343	164	37	on	on	ADP
fcis-20343	164	38	advanced	advanced	ADJ
fcis-20343	164	39	computing	computing	NOUN
fcis-20343	164	40	and	and	CCONJ
fcis-20343	164	41	communication	communication	NOUN
fcis-20343	164	42	systems	system	NOUN
fcis-20343	164	43	(	(	PUNCT
fcis-20343	164	44	icaccs	icaccs	NOUN
fcis-20343	164	45	)	)	PUNCT
fcis-20343	164	46	.	.	PUNCT
fcis-20343	165	1	ieee	ieee	NOUN
fcis-20343	165	2	,	,	PUNCT
fcis-20343	165	3	2023	2023	NUM
fcis-20343	165	4	,	,	PUNCT
fcis-20343	165	5	1	1	NUM
fcis-20343	165	6	:	:	SYM
fcis-20343	165	7	373	373	NUM
fcis-20343	165	8	-	-	SYM
fcis-20343	165	9	379	379	NUM
fcis-20343	165	10	.	.	PUNCT
fcis-20343	165	11	42	42	NUM
fcis-20343	166	1	[	[	X
fcis-20343	166	2	2	2	X
fcis-20343	166	3	]	]	PUNCT
fcis-20343	166	4	ahmed	ahmed	PROPN
fcis-20343	166	5	i	i	PROPN
fcis-20343	166	6	,	,	PUNCT
fcis-20343	166	7	jeon	jeon	PROPN
fcis-20343	166	8	g	g	PROPN
fcis-20343	166	9	,	,	PUNCT
fcis-20343	166	10	chehri	chehri	PROPN
fcis-20343	166	11	a	a	X
fcis-20343	166	12	,	,	PUNCT
fcis-20343	166	13	et	et	PROPN
fcis-20343	166	14	al	al	PROPN
fcis-20343	166	15	.	.	PUNCT
fcis-20343	166	16	adapting	adapt	VERB
fcis-20343	166	17	gaussian	gaussian	NOUN
fcis-20343	166	18	yolov3	yolov3	PROPN
fcis-20343	166	19	with	with	ADP
fcis-20343	166	20	transfer	transfer	NOUN
fcis-20343	166	21	learning	learn	VERB
fcis-20343	166	22	for	for	ADP
fcis-20343	166	23	overhead	overhead	ADJ
fcis-20343	166	24	view	view	NOUN
fcis-20343	166	25	human	human	ADJ
fcis-20343	166	26	detection	detection	NOUN
fcis-20343	166	27	in	in	ADP
fcis-20343	166	28	smart	smart	ADJ
fcis-20343	166	29	cities	city	NOUN
fcis-20343	166	30	and	and	CCONJ
fcis-20343	166	31	societies[j	societies[j	NOUN
fcis-20343	166	32	]	]	PUNCT
fcis-20343	166	33	.	.	PUNCT
fcis-20343	167	1	sustainable	sustainable	ADJ
fcis-20343	167	2	cities	city	NOUN
fcis-20343	167	3	and	and	CCONJ
fcis-20343	167	4	society	society	NOUN
fcis-20343	167	5	,	,	PUNCT
fcis-20343	167	6	2021	2021	NUM
fcis-20343	167	7	,	,	PUNCT
fcis-20343	167	8	70	70	NUM
fcis-20343	167	9	:	:	SYM
fcis-20343	167	10	102908	102908	NUM
fcis-20343	167	11	.	.	PUNCT
fcis-20343	168	1	[	[	X
fcis-20343	168	2	3	3	X
fcis-20343	168	3	]	]	X
fcis-20343	168	4	lin	lin	PROPN
fcis-20343	168	5	y	y	PROPN
fcis-20343	168	6	,	,	PUNCT
fcis-20343	168	7	chen	chen	PROPN
fcis-20343	168	8	t	t	PROPN
fcis-20343	168	9	,	,	PUNCT
fcis-20343	168	10	liu	liu	PROPN
fcis-20343	168	11	s	s	PROPN
fcis-20343	168	12	,	,	PUNCT
fcis-20343	168	13	et	et	PROPN
fcis-20343	168	14	al	al	PROPN
fcis-20343	168	15	.	.	PROPN
fcis-20343	168	16	quick	quick	ADJ
fcis-20343	168	17	and	and	CCONJ
fcis-20343	168	18	accurate	accurate	ADJ
fcis-20343	168	19	monitoring	monitoring	NOUN
fcis-20343	168	20	peanut	peanut	NOUN
fcis-20343	168	21	seedlings	seedling	NOUN
fcis-20343	168	22	emergence	emergence	NOUN
fcis-20343	168	23	rate	rate	NOUN
fcis-20343	168	24	through	through	ADP
fcis-20343	168	25	uav	uav	PROPN
fcis-20343	168	26	video	video	PROPN
fcis-20343	168	27	and	and	CCONJ
fcis-20343	168	28	deep	deep	ADJ
fcis-20343	168	29	learning[j	learning[j	NOUN
fcis-20343	168	30	]	]	PUNCT
fcis-20343	168	31	.	.	PUNCT
fcis-20343	169	1	computers	computer	NOUN
fcis-20343	169	2	and	and	CCONJ
fcis-20343	169	3	electronics	electronic	NOUN
fcis-20343	169	4	in	in	ADP
fcis-20343	169	5	agriculture	agriculture	NOUN
fcis-20343	169	6	,	,	PUNCT
fcis-20343	169	7	2022	2022	NUM
fcis-20343	169	8	,	,	PUNCT
fcis-20343	169	9	197	197	NUM
fcis-20343	169	10	:	:	SYM
fcis-20343	169	11	106938	106938	NUM
fcis-20343	169	12	.	.	PUNCT
fcis-20343	170	1	[	[	X
fcis-20343	170	2	4	4	X
fcis-20343	170	3	]	]	X
fcis-20343	170	4	wang	wang	PROPN
fcis-20343	170	5	x	x	PROPN
fcis-20343	170	6	,	,	PUNCT
fcis-20343	170	7	yang	yang	PROPN
fcis-20343	170	8	w	w	PROPN
fcis-20343	170	9	,	,	PUNCT
fcis-20343	170	10	lv	lv	PROPN
fcis-20343	170	11	q	q	PROPN
fcis-20343	170	12	,	,	PUNCT
fcis-20343	170	13	et	et	PROPN
fcis-20343	170	14	al	al	PROPN
fcis-20343	170	15	.	.	PROPN
fcis-20343	170	16	field	field	PROPN
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fcis-20343	194	2	:	:	PUNCT
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fcis-20343	196	2	:	:	PUNCT
fcis-20343	196	3	7263	7263	NUM
fcis-20343	196	4	-	-	SYM
fcis-20343	196	5	7271	7271	NUM
fcis-20343	196	6	.	.	PUNCT
fcis-20343	197	1	[	[	X
fcis-20343	197	2	15	15	NUM
fcis-20343	197	3	]	]	X
fcis-20343	197	4	redmon	redmon	PROPN
fcis-20343	197	5	j	j	PROPN
fcis-20343	197	6	,	,	PUNCT
fcis-20343	197	7	farhadi	farhadi	PROPN
fcis-20343	197	8	a.	a.	PROPN
fcis-20343	197	9	yolov3	yolov3	PROPN
fcis-20343	197	10	:	:	PUNCT
fcis-20343	198	1	an	an	DET
fcis-20343	198	2	incremental	incremental	ADJ
fcis-20343	198	3	improvement	improvement	NOUN
fcis-20343	198	4	[	[	X
fcis-20343	198	5	j	j	X
fcis-20343	198	6	]	]	X
fcis-20343	198	7	.	.	PUNCT
fcis-20343	199	1	arxiv	arxiv	PROPN
fcis-20343	199	2	preprint	preprint	VERB
fcis-20343	199	3	arxiv:1804.02767	arxiv:1804.02767	PROPN
fcis-20343	199	4	,	,	PUNCT
fcis-20343	199	5	2018	2018	NUM
fcis-20343	199	6	.	.	PUNCT
fcis-20343	200	1	[	[	X
fcis-20343	200	2	16	16	NUM
fcis-20343	200	3	]	]	PUNCT
fcis-20343	200	4	bochkovskiy	bochkovskiy	X
fcis-20343	200	5	a	a	PRON
fcis-20343	200	6	,	,	PUNCT
fcis-20343	200	7	wang	wang	PROPN
fcis-20343	200	8	c	c	PROPN
fcis-20343	200	9	y	y	PROPN
fcis-20343	200	10	,	,	PUNCT
fcis-20343	200	11	liao	liao	PROPN
fcis-20343	200	12	h	h	PROPN
fcis-20343	200	13	y	y	PROPN
fcis-20343	200	14	m.	m.	PROPN
fcis-20343	200	15	yolov4	yolov4	PROPN
fcis-20343	200	16	:	:	PUNCT
fcis-20343	200	17	optimal	optimal	ADJ
fcis-20343	200	18	speed	speed	NOUN
fcis-20343	200	19	and	and	CCONJ
fcis-20343	200	20	accuracy	accuracy	NOUN
fcis-20343	200	21	of	of	ADP
fcis-20343	200	22	object	object	NOUN
fcis-20343	200	23	detection[j	detection[j	PROPN
fcis-20343	200	24	]	]	PUNCT
fcis-20343	200	25	.	.	PUNCT
fcis-20343	201	1	arxiv	arxiv	PROPN
fcis-20343	201	2	preprint	preprint	NOUN
fcis-20343	201	3	arxiv:2004.10934	arxiv:2004.10934	NOUN
fcis-20343	201	4	,	,	PUNCT
fcis-20343	201	5	2020	2020	NUM
fcis-20343	201	6	.	.	PUNCT
fcis-20343	202	1	[	[	X
fcis-20343	202	2	17	17	NUM
fcis-20343	202	3	]	]	X
fcis-20343	202	4	li	li	PROPN
fcis-20343	202	5	c	c	PROPN
fcis-20343	202	6	,	,	PUNCT
fcis-20343	202	7	li	li	PROPN
fcis-20343	202	8	l	l	PROPN
fcis-20343	202	9	,	,	PUNCT
fcis-20343	202	10	jiang	jiang	PROPN
fcis-20343	202	11	h	h	PROPN
fcis-20343	202	12	,	,	PUNCT
fcis-20343	202	13	et	et	PROPN
fcis-20343	202	14	al	al	PROPN
fcis-20343	202	15	.	.	PROPN
fcis-20343	202	16	yolov6	yolov6	PROPN
fcis-20343	202	17	:	:	PUNCT
fcis-20343	202	18	a	a	DET
fcis-20343	202	19	single	single	ADJ
fcis-20343	202	20	-	-	PUNCT
fcis-20343	202	21	stage	stage	NOUN
fcis-20343	202	22	object	object	NOUN
fcis-20343	202	23	detection	detection	NOUN
fcis-20343	202	24	framework	framework	NOUN
fcis-20343	202	25	for	for	ADP
fcis-20343	202	26	industrial	industrial	ADJ
fcis-20343	202	27	applications[j	applications[j	NOUN
fcis-20343	202	28	]	]	PUNCT
fcis-20343	202	29	.	.	PUNCT
fcis-20343	203	1	arxiv	arxiv	PROPN
fcis-20343	203	2	preprint	preprint	NOUN
fcis-20343	203	3	arxiv:2209.02976	arxiv:2209.02976	NOUN
fcis-20343	203	4	,	,	PUNCT
fcis-20343	203	5	2022	2022	NUM
fcis-20343	203	6	.	.	PUNCT
fcis-20343	204	1	[	[	X
fcis-20343	204	2	18	18	NUM
fcis-20343	204	3	]	]	X
fcis-20343	204	4	wang	wang	PROPN
fcis-20343	204	5	c	c	PROPN
fcis-20343	204	6	y	y	PROPN
fcis-20343	204	7	,	,	PUNCT
fcis-20343	204	8	bochkovskiy	bochkovskiy	VERB
fcis-20343	204	9	a	a	PRON
fcis-20343	204	10	,	,	PUNCT
fcis-20343	204	11	liao	liao	PROPN
fcis-20343	204	12	h	h	PROPN
fcis-20343	204	13	y	y	PROPN
fcis-20343	204	14	m.	m.	NOUN
fcis-20343	204	15	yolov7	yolov7	NOUN
fcis-20343	204	16	:	:	PUNCT
fcis-20343	204	17	trainable	trainable	ADJ
fcis-20343	204	18	bag	bag	NOUN
fcis-20343	204	19	-	-	PUNCT
fcis-20343	204	20	of	of	ADP
fcis-20343	204	21	-	-	PUNCT
fcis-20343	204	22	freebies	freebie	NOUN
fcis-20343	204	23	sets	set	VERB
fcis-20343	204	24	new	new	ADJ
fcis-20343	204	25	state	state	NOUN
fcis-20343	204	26	-	-	PUNCT
fcis-20343	204	27	of	of	ADP
fcis-20343	204	28	-	-	PUNCT
fcis-20343	204	29	the	the	DET
fcis-20343	204	30	-	-	PUNCT
fcis-20343	204	31	art	art	NOUN
fcis-20343	204	32	for	for	ADP
fcis-20343	204	33	real	real	ADJ
fcis-20343	204	34	-	-	PUNCT
fcis-20343	204	35	time	time	NOUN
fcis-20343	204	36	object	object	NOUN
fcis-20343	204	37	detectors	detector	NOUN
fcis-20343	204	38	.	.	PUNCT
fcis-20343	205	1	arxiv	arxiv	PROPN
fcis-20343	205	2	2022[j	2022[j	NUM
fcis-20343	205	3	]	]	PUNCT
fcis-20343	205	4	.	.	PUNCT
fcis-20343	206	1	arxiv	arxiv	PROPN
fcis-20343	206	2	preprint	preprint	PROPN
fcis-20343	206	3	arxiv	arxiv	PROPN
fcis-20343	206	4	:	:	PUNCT
fcis-20343	206	5	2207	2207	NUM
fcis-20343	206	6	.	.	PUNCT
fcis-20343	206	7	02696	02696	NUM
fcis-20343	206	8	,	,	PUNCT
fcis-20343	206	9	2022	2022	NUM
fcis-20343	206	10	.	.	PUNCT
fcis-20343	207	1	[	[	X
fcis-20343	207	2	19	19	NUM
fcis-20343	207	3	]	]	X
fcis-20343	207	4	girshick	girshick	ADJ
fcis-20343	207	5	r	r	PROPN
fcis-20343	207	6	,	,	PUNCT
fcis-20343	207	7	donahue	donahue	PROPN
fcis-20343	207	8	j	j	PROPN
fcis-20343	207	9	,	,	PUNCT
fcis-20343	207	10	darrell	darrell	PROPN
fcis-20343	207	11	t	t	PROPN
fcis-20343	207	12	,	,	PUNCT
fcis-20343	207	13	et	et	PROPN
fcis-20343	207	14	al	al	PROPN
fcis-20343	207	15	.	.	PROPN
fcis-20343	208	1	rich	rich	ADJ
fcis-20343	208	2	feature	feature	NOUN
fcis-20343	208	3	hierarchies	hierarchy	NOUN
fcis-20343	208	4	for	for	ADP
fcis-20343	208	5	accurate	accurate	ADJ
fcis-20343	208	6	object	object	NOUN
fcis-20343	208	7	detection	detection	NOUN
fcis-20343	208	8	and	and	CCONJ
fcis-20343	208	9	semantic	semantic	ADJ
fcis-20343	208	10	segmentation	segmentation	NOUN
fcis-20343	208	11	[	[	X
fcis-20343	208	12	c]//	c]//	ADJ
fcis-20343	208	13	proceedings	proceeding	NOUN
fcis-20343	208	14	of	of	ADP
fcis-20343	208	15	the	the	DET
fcis-20343	208	16	ieee	ieee	NOUN
fcis-20343	208	17	conference	conference	NOUN
fcis-20343	208	18	on	on	ADP
fcis-20343	208	19	computer	computer	NOUN
fcis-20343	208	20	vision	vision	NOUN
fcis-20343	208	21	and	and	CCONJ
fcis-20343	208	22	pattern	pattern	NOUN
fcis-20343	208	23	recognition	recognition	NOUN
fcis-20343	208	24	.	.	PUNCT
fcis-20343	209	1	2014	2014	NUM
fcis-20343	209	2	:	:	PUNCT
fcis-20343	210	1	580	580	NUM
fcis-20343	210	2	-	-	SYM
fcis-20343	210	3	587	587	NUM
fcis-20343	210	4	.	.	PUNCT
fcis-20343	211	1	[	[	X
fcis-20343	211	2	20	20	NUM
fcis-20343	211	3	]	]	PUNCT
fcis-20343	211	4	he	he	PRON
fcis-20343	211	5	k	k	PROPN
fcis-20343	211	6	,	,	PUNCT
fcis-20343	211	7	zhang	zhang	PROPN
fcis-20343	211	8	x	x	PROPN
fcis-20343	211	9	,	,	PUNCT
fcis-20343	211	10	ren	ren	PROPN
fcis-20343	211	11	s	s	PROPN
fcis-20343	211	12	,	,	PUNCT
fcis-20343	211	13	et	et	PROPN
fcis-20343	211	14	al	al	PROPN
fcis-20343	211	15	.	.	PUNCT
fcis-20343	212	1	spatial	spatial	ADJ
fcis-20343	212	2	pyramid	pyramid	NOUN
fcis-20343	212	3	pooling	pool	VERB
fcis-20343	212	4	in	in	ADP
fcis-20343	212	5	deep	deep	ADJ
fcis-20343	212	6	convolutional	convolutional	ADJ
fcis-20343	212	7	networks	network	NOUN
fcis-20343	212	8	for	for	ADP
fcis-20343	212	9	visual	visual	ADJ
fcis-20343	212	10	recognition[j	recognition[j	NOUN
fcis-20343	212	11	]	]	PUNCT
fcis-20343	212	12	.	.	PUNCT
fcis-20343	213	1	ieee	ieee	NOUN
fcis-20343	213	2	transactions	transaction	NOUN
fcis-20343	213	3	on	on	ADP
fcis-20343	213	4	pattern	pattern	NOUN
fcis-20343	213	5	analysis	analysis	NOUN
fcis-20343	213	6	and	and	CCONJ
fcis-20343	213	7	machine	machine	NOUN
fcis-20343	213	8	intelligence	intelligence	NOUN
fcis-20343	213	9	,	,	PUNCT
fcis-20343	213	10	2015	2015	NUM
fcis-20343	213	11	,	,	PUNCT
fcis-20343	213	12	37(9	37(9	NUM
fcis-20343	213	13	):	):	PUNCT
fcis-20343	213	14	1904	1904	NUM
fcis-20343	213	15	-	-	SYM
fcis-20343	213	16	1916	1916	NUM
fcis-20343	213	17	.	.	PUNCT
fcis-20343	214	1	[	[	X
fcis-20343	214	2	21	21	NUM
fcis-20343	214	3	]	]	X
fcis-20343	214	4	girshick	girshick	PROPN
fcis-20343	214	5	r.	r.	PROPN
fcis-20343	214	6	fast	fast	ADV
fcis-20343	214	7	r	r	NOUN
fcis-20343	214	8	-	-	PUNCT
fcis-20343	214	9	cnn[c]//proceedings	cnn[c]//proceeding	NOUN
fcis-20343	214	10	of	of	ADP
fcis-20343	214	11	the	the	DET
fcis-20343	214	12	ieee	ieee	NOUN
fcis-20343	214	13	international	international	PROPN
fcis-20343	214	14	conference	conference	NOUN
fcis-20343	214	15	on	on	ADP
fcis-20343	214	16	computer	computer	NOUN
fcis-20343	214	17	vision	vision	NOUN
fcis-20343	214	18	.	.	PUNCT
fcis-20343	215	1	2015	2015	NUM
fcis-20343	215	2	:	:	PUNCT
fcis-20343	215	3	1440	1440	NUM
fcis-20343	215	4	-	-	SYM
fcis-20343	215	5	1448	1448	NUM
fcis-20343	215	6	.	.	PUNCT
fcis-20343	216	1	[	[	X
fcis-20343	216	2	22	22	NUM
fcis-20343	216	3	]	]	X
fcis-20343	216	4	ren	ren	PROPN
fcis-20343	216	5	s	s	PROPN
fcis-20343	216	6	,	,	PUNCT
fcis-20343	216	7	he	he	PRON
fcis-20343	216	8	k	k	NOUN
fcis-20343	216	9	,	,	PUNCT
fcis-20343	216	10	girshick	girshick	ADJ
fcis-20343	216	11	r	r	NOUN
fcis-20343	216	12	,	,	PUNCT
fcis-20343	216	13	et	et	PROPN
fcis-20343	216	14	al	al	PROPN
fcis-20343	216	15	.	.	PUNCT
fcis-20343	217	1	faster	fast	ADJ
fcis-20343	217	2	r	r	NOUN
fcis-20343	217	3	-	-	PUNCT
fcis-20343	217	4	cnn	cnn	NOUN
fcis-20343	217	5	:	:	PUNCT
fcis-20343	217	6	towards	towards	ADP
fcis-20343	217	7	real	real	ADJ
fcis-20343	217	8	-	-	PUNCT
fcis-20343	217	9	time	time	NOUN
fcis-20343	217	10	object	object	NOUN
fcis-20343	217	11	detection	detection	NOUN
fcis-20343	217	12	with	with	ADP
fcis-20343	217	13	region	region	NOUN
fcis-20343	217	14	proposal	proposal	NOUN
fcis-20343	217	15	networks[j	networks[j	PROPN
fcis-20343	217	16	]	]	X
fcis-20343	217	17	.	.	PUNCT
fcis-20343	218	1	advances	advance	NOUN
fcis-20343	218	2	in	in	ADP
fcis-20343	218	3	neural	neural	ADJ
fcis-20343	218	4	information	information	NOUN
fcis-20343	218	5	processing	processing	NOUN
fcis-20343	218	6	systems	system	NOUN
fcis-20343	218	7	,	,	PUNCT
fcis-20343	218	8	2015	2015	NUM
fcis-20343	218	9	,	,	PUNCT
fcis-20343	218	10	28	28	NUM
fcis-20343	218	11	.	.	PUNCT
fcis-20343	219	1	[	[	X
fcis-20343	219	2	23	23	NUM
fcis-20343	219	3	]	]	X
fcis-20343	219	4	dai	dai	PROPN
fcis-20343	219	5	j	j	PROPN
fcis-20343	219	6	,	,	PUNCT
fcis-20343	219	7	li	li	PROPN
fcis-20343	219	8	y	y	PROPN
fcis-20343	219	9	,	,	PUNCT
fcis-20343	219	10	he	he	PRON
fcis-20343	219	11	k	k	PROPN
fcis-20343	219	12	,	,	PUNCT
fcis-20343	219	13	et	et	PROPN
fcis-20343	219	14	al	al	PROPN
fcis-20343	219	15	.	.	PUNCT
fcis-20343	220	1	r	r	X
fcis-20343	220	2	-	-	PUNCT
fcis-20343	220	3	fcn	fcn	NOUN
fcis-20343	220	4	:	:	PUNCT
fcis-20343	220	5	object	object	NOUN
fcis-20343	220	6	detection	detection	NOUN
fcis-20343	220	7	via	via	ADP
fcis-20343	220	8	regionbased	regionbase	VERB
fcis-20343	220	9	fully	fully	ADV
fcis-20343	220	10	convolutional	convolutional	ADJ
fcis-20343	220	11	networks[j	networks[j	NOUN
fcis-20343	220	12	]	]	X
fcis-20343	220	13	.	.	PUNCT
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fcis-20343	221	2	in	in	ADP
fcis-20343	221	3	neural	neural	ADJ
fcis-20343	221	4	information	information	NOUN
fcis-20343	221	5	processing	processing	NOUN
fcis-20343	221	6	systems	system	NOUN
fcis-20343	221	7	,	,	PUNCT
fcis-20343	221	8	2016	2016	NUM
fcis-20343	221	9	,	,	PUNCT
fcis-20343	221	10	29	29	NUM
fcis-20343	221	11	.	.	PUNCT
fcis-20343	222	1	[	[	X
fcis-20343	222	2	24	24	NUM
fcis-20343	222	3	]	]	X
fcis-20343	222	4	srivastava	srivastava	PROPN
fcis-20343	222	5	s	s	PROPN
fcis-20343	222	6	,	,	PUNCT
fcis-20343	222	7	narayan	narayan	PROPN
fcis-20343	222	8	s	s	PROPN
fcis-20343	222	9	,	,	PUNCT
fcis-20343	222	10	mittal	mittal	PROPN
fcis-20343	222	11	s.	s.	PROPN
fcis-20343	222	12	a	a	DET
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fcis-20343	222	14	of	of	ADP
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fcis-20343	222	17	techniques	technique	NOUN
fcis-20343	222	18	for	for	ADP
fcis-20343	222	19	vehicle	vehicle	NOUN
fcis-20343	222	20	detection	detection	NOUN
fcis-20343	222	21	from	from	ADP
fcis-20343	222	22	uav	uav	PROPN
fcis-20343	222	23	images[j	images[j	PROPN
fcis-20343	222	24	]	]	PUNCT
fcis-20343	222	25	.	.	PUNCT
fcis-20343	223	1	journal	journal	PROPN
fcis-20343	223	2	of	of	ADP
fcis-20343	223	3	systems	system	NOUN
fcis-20343	223	4	architecture	architecture	NOUN
fcis-20343	223	5	,	,	PUNCT
fcis-20343	223	6	2021	2021	NUM
fcis-20343	223	7	,	,	PUNCT
fcis-20343	223	8	117	117	NUM
fcis-20343	223	9	:	:	SYM
fcis-20343	223	10	102152	102152	NUM
fcis-20343	223	11	.	.	PUNCT
fcis-20343	224	1	[	[	X
fcis-20343	224	2	25	25	NUM
fcis-20343	224	3	]	]	X
fcis-20343	224	4	liu	liu	PROPN
fcis-20343	224	5	b	b	PROPN
fcis-20343	224	6	,	,	PUNCT
fcis-20343	224	7	luo	luo	PROPN
fcis-20343	224	8	h	h	PROPN
fcis-20343	224	9	,	,	PUNCT
fcis-20343	224	10	wang	wang	PROPN
fcis-20343	224	11	h	h	PROPN
fcis-20343	224	12	,	,	PUNCT
fcis-20343	224	13	et	et	PROPN
fcis-20343	224	14	al	al	PROPN
fcis-20343	224	15	.	.	PUNCT
fcis-20343	225	1	yolov3_resam	yolov3_resam	PROPN
fcis-20343	225	2	:	:	PUNCT
fcis-20343	225	3	a	a	DET
fcis-20343	225	4	smalltarget	smalltarget	NOUN
fcis-20343	225	5	detection	detection	NOUN
fcis-20343	225	6	method[j	method[j	NOUN
fcis-20343	225	7	]	]	PUNCT
fcis-20343	225	8	.	.	PUNCT
fcis-20343	226	1	electronics	electronic	NOUN
fcis-20343	226	2	,	,	PUNCT
fcis-20343	226	3	2022	2022	NUM
fcis-20343	226	4	,	,	PUNCT
fcis-20343	226	5	11(10	11(10	NUM
fcis-20343	226	6	):	):	PUNCT
fcis-20343	226	7	1635	1635	NUM
fcis-20343	226	8	.	.	PUNCT
fcis-20343	227	1	[	[	X
fcis-20343	227	2	26	26	NUM
fcis-20343	227	3	]	]	PUNCT
fcis-20343	227	4	tan	tan	PROPN
fcis-20343	227	5	l	l	PROPN
fcis-20343	227	6	,	,	PUNCT
fcis-20343	227	7	lv	lv	PROPN
fcis-20343	227	8	x	x	PROPN
fcis-20343	227	9	,	,	PUNCT
fcis-20343	227	10	lian	lian	ADJ
fcis-20343	227	11	x	x	NOUN
fcis-20343	227	12	,	,	PUNCT
fcis-20343	227	13	et	et	PROPN
fcis-20343	227	14	al	al	PROPN
fcis-20343	227	15	.	.	PROPN
fcis-20343	227	16	yolov4_drone	yolov4_drone	PROPN
fcis-20343	227	17	:	:	PUNCT
fcis-20343	227	18	uav	uav	PROPN
fcis-20343	227	19	image	image	NOUN
fcis-20343	227	20	target	target	NOUN
fcis-20343	227	21	detection	detection	NOUN
fcis-20343	227	22	based	base	VERB
fcis-20343	227	23	on	on	ADP
fcis-20343	227	24	an	an	DET
fcis-20343	227	25	improved	improved	ADJ
fcis-20343	227	26	yolov4	yolov4	NOUN
fcis-20343	227	27	algorithm[j	algorithm[j	PROPN
fcis-20343	227	28	]	]	PUNCT
fcis-20343	227	29	.	.	PUNCT
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fcis-20343	228	2	&	&	CCONJ
fcis-20343	228	3	electrical	electrical	ADJ
fcis-20343	228	4	engineering	engineering	NOUN
fcis-20343	228	5	,	,	PUNCT
fcis-20343	228	6	2021	2021	NUM
fcis-20343	228	7	,	,	PUNCT
fcis-20343	228	8	93	93	NUM
fcis-20343	228	9	:	:	SYM
fcis-20343	228	10	107261	107261	NUM
fcis-20343	228	11	.	.	PUNCT
fcis-20343	229	1	[	[	X
fcis-20343	229	2	27	27	NUM
fcis-20343	229	3	]	]	X
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fcis-20343	229	5	h	h	PROPN
fcis-20343	229	6	,	,	PUNCT
fcis-20343	229	7	duan	duan	PROPN
fcis-20343	229	8	x	x	PROPN
fcis-20343	229	9	,	,	PUNCT
fcis-20343	229	10	lou	lou	PROPN
fcis-20343	229	11	h	h	PROPN
fcis-20343	229	12	,	,	PUNCT
fcis-20343	229	13	et	et	PROPN
fcis-20343	229	14	al	al	PROPN
fcis-20343	229	15	.	.	PROPN
fcis-20343	229	16	improved	improve	VERB
fcis-20343	229	17	gbs	gbs	PROPN
fcis-20343	229	18	-	-	PUNCT
fcis-20343	229	19	yolov5	yolov5	NOUN
fcis-20343	229	20	algorithm	algorithm	NOUN
fcis-20343	229	21	based	base	VERB
fcis-20343	229	22	on	on	ADP
fcis-20343	229	23	yolov5	yolov5	NOUN
fcis-20343	229	24	applied	apply	VERB
fcis-20343	229	25	to	to	ADP
fcis-20343	229	26	uav	uav	PROPN
fcis-20343	229	27	intelligent	intelligent	ADJ
fcis-20343	229	28	traffic[j	traffic[j	ADV
fcis-20343	229	29	]	]	PUNCT
fcis-20343	229	30	.	.	PUNCT
fcis-20343	230	1	scientific	scientific	ADJ
fcis-20343	230	2	reports	report	NOUN
fcis-20343	230	3	,	,	PUNCT
fcis-20343	230	4	2023	2023	NUM
fcis-20343	230	5	,	,	PUNCT
fcis-20343	230	6	13(1	13(1	NUM
fcis-20343	230	7	):	):	PUNCT
fcis-20343	230	8	9577	9577	NUM
fcis-20343	230	9	.	.	PUNCT
fcis-20343	231	1	[	[	X
fcis-20343	231	2	28	28	NUM
fcis-20343	231	3	]	]	X
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fcis-20343	231	6	,	,	PUNCT
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fcis-20343	231	8	h	h	NOUN
fcis-20343	231	9	,	,	PUNCT
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fcis-20343	231	11	y	y	PROPN
fcis-20343	231	12	,	,	PUNCT
fcis-20343	231	13	et	et	PROPN
fcis-20343	231	14	al	al	PROPN
fcis-20343	231	15	.	.	PUNCT
fcis-20343	232	1	ggt	ggt	PROPN
fcis-20343	232	2	-	-	PUNCT
fcis-20343	232	3	yolo	yolo	PROPN
fcis-20343	232	4	:	:	PUNCT
fcis-20343	232	5	a	a	DET
fcis-20343	232	6	novel	novel	ADJ
fcis-20343	232	7	object	object	NOUN
fcis-20343	232	8	detection	detection	NOUN
fcis-20343	232	9	algorithm	algorithm	NOUN
fcis-20343	232	10	for	for	ADP
fcis-20343	232	11	drone	drone	NOUN
fcis-20343	232	12	-	-	PUNCT
fcis-20343	232	13	based	base	VERB
fcis-20343	232	14	maritime	maritime	ADJ
fcis-20343	232	15	cruising[j	cruising[j	NOUN
fcis-20343	232	16	]	]	PUNCT
fcis-20343	232	17	.	.	PUNCT
fcis-20343	233	1	drones	drone	NOUN
fcis-20343	233	2	,	,	PUNCT
fcis-20343	233	3	2022	2022	NUM
fcis-20343	233	4	,	,	PUNCT
fcis-20343	233	5	6(11	6(11	NUM
fcis-20343	233	6	):	):	PUNCT
fcis-20343	233	7	335	335	NUM
fcis-20343	233	8	.	.	PUNCT
fcis-20343	234	1	[	[	X
fcis-20343	234	2	29	29	NUM
fcis-20343	234	3	]	]	X
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fcis-20343	234	5	l	l	PROPN
fcis-20343	234	6	l	l	PROPN
fcis-20343	234	7	,	,	PUNCT
fcis-20343	234	8	zhu	zhu	PROPN
fcis-20343	234	9	m	m	PROPN
fcis-20343	234	10	l.	l.	PROPN
fcis-20343	234	11	ms	ms	PROPN
fcis-20343	234	12	-	-	PUNCT
fcis-20343	234	13	yolov7	yolov7	NOUN
fcis-20343	234	14	:	:	PUNCT
fcis-20343	234	15	yolov7	yolov7	PROPN
fcis-20343	234	16	based	base	VERB
fcis-20343	234	17	on	on	ADP
fcis-20343	234	18	multiscale	multiscale	NOUN
fcis-20343	234	19	for	for	ADP
fcis-20343	234	20	object	object	NOUN
fcis-20343	234	21	detection	detection	NOUN
fcis-20343	234	22	on	on	ADP
fcis-20343	234	23	uav	uav	PROPN
fcis-20343	234	24	aerial	aerial	ADJ
fcis-20343	234	25	photography[j	photography[j	NOUN
fcis-20343	234	26	]	]	PUNCT
fcis-20343	234	27	.	.	PUNCT
fcis-20343	235	1	drones	drone	NOUN
fcis-20343	235	2	,	,	PUNCT
fcis-20343	235	3	2023	2023	NUM
fcis-20343	235	4	,	,	PUNCT
fcis-20343	235	5	7(3	7(3	NUM
fcis-20343	235	6	):	):	PUNCT
fcis-20343	235	7	188	188	NUM
fcis-20343	235	8	.	.	PUNCT
fcis-20343	236	1	[	[	X
fcis-20343	236	2	30	30	NUM
fcis-20343	236	3	]	]	X
fcis-20343	236	4	zeng	zeng	PROPN
fcis-20343	236	5	y	y	PROPN
fcis-20343	236	6	,	,	PUNCT
fcis-20343	236	7	zhang	zhang	PROPN
fcis-20343	236	8	t	t	PROPN
fcis-20343	236	9	,	,	PUNCT
fcis-20343	236	10	he	he	PRON
fcis-20343	236	11	w	w	PROPN
fcis-20343	236	12	,	,	PUNCT
fcis-20343	236	13	et	et	PROPN
fcis-20343	236	14	al	al	PROPN
fcis-20343	236	15	.	.	PUNCT
fcis-20343	236	16	yolov7	yolov7	PROPN
fcis-20343	236	17	-	-	PUNCT
fcis-20343	236	18	uav	uav	PROPN
fcis-20343	236	19	:	:	PUNCT
fcis-20343	236	20	an	an	DET
fcis-20343	236	21	unmanned	unmanned	ADJ
fcis-20343	236	22	aerial	aerial	ADJ
fcis-20343	236	23	vehicle	vehicle	NOUN
fcis-20343	236	24	image	image	NOUN
fcis-20343	236	25	object	object	NOUN
fcis-20343	236	26	detection	detection	NOUN
fcis-20343	236	27	algorithm	algorithm	NOUN
fcis-20343	236	28	based	base	VERB
fcis-20343	236	29	on	on	ADP
fcis-20343	236	30	improved	improved	ADJ
fcis-20343	236	31	yolov7[j	yolov7[j	NOUN
fcis-20343	236	32	]	]	PUNCT
fcis-20343	236	33	.	.	PUNCT
fcis-20343	237	1	electronics	electronic	NOUN
fcis-20343	237	2	,	,	PUNCT
fcis-20343	237	3	2023	2023	NUM
fcis-20343	237	4	,	,	PUNCT
fcis-20343	237	5	12(14	12(14	NUM
fcis-20343	237	6	):	):	PUNCT
fcis-20343	237	7	3141	3141	NUM
fcis-20343	237	8	.	.	PUNCT
fcis-20343	238	1	[	[	X
fcis-20343	238	2	31	31	NUM
fcis-20343	238	3	]	]	X
fcis-20343	238	4	li	li	PROPN
fcis-20343	238	5	y	y	PROPN
fcis-20343	238	6	,	,	PUNCT
fcis-20343	238	7	fan	fan	PROPN
fcis-20343	238	8	q	q	PROPN
fcis-20343	238	9	,	,	PUNCT
fcis-20343	238	10	huang	huang	PROPN
fcis-20343	238	11	h	h	PROPN
fcis-20343	238	12	,	,	PUNCT
fcis-20343	238	13	et	et	PROPN
fcis-20343	238	14	al	al	PROPN
fcis-20343	238	15	.	.	PUNCT
fcis-20343	239	1	a	a	DET
fcis-20343	239	2	modified	modify	VERB
fcis-20343	239	3	yolov8	yolov8	NOUN
fcis-20343	239	4	detection	detection	NOUN
fcis-20343	239	5	network	network	NOUN
fcis-20343	239	6	for	for	ADP
fcis-20343	239	7	uav	uav	PROPN
fcis-20343	239	8	aerial	aerial	ADJ
fcis-20343	239	9	image	image	NOUN
fcis-20343	239	10	recognition[j	recognition[j	NOUN
fcis-20343	239	11	]	]	PUNCT
fcis-20343	239	12	.	.	PUNCT
fcis-20343	240	1	drones	drone	NOUN
fcis-20343	240	2	,	,	PUNCT
fcis-20343	240	3	2023	2023	NUM
fcis-20343	240	4	,	,	PUNCT
fcis-20343	240	5	7(5	7(5	NUM
fcis-20343	240	6	):	):	PUNCT
fcis-20343	240	7	304	304	NUM
fcis-20343	240	8	.	.	PUNCT
fcis-20343	241	1	[	[	X
fcis-20343	241	2	32	32	NUM
fcis-20343	241	3	]	]	X
fcis-20343	241	4	chen	chen	PROPN
fcis-20343	241	5	j	j	PROPN
fcis-20343	241	6	,	,	PUNCT
fcis-20343	241	7	kao	kao	PROPN
fcis-20343	241	8	s	s	PROPN
fcis-20343	241	9	,	,	PUNCT
fcis-20343	241	10	he	he	PRON
fcis-20343	241	11	h	h	VERB
fcis-20343	241	12	,	,	PUNCT
fcis-20343	241	13	et	et	PROPN
fcis-20343	241	14	al	al	PROPN
fcis-20343	241	15	.	.	PROPN
fcis-20343	241	16	run	run	PROPN
fcis-20343	241	17	,	,	PUNCT
fcis-20343	241	18	do	do	AUX
fcis-20343	241	19	n't	not	PART
fcis-20343	241	20	walk	walk	VERB
fcis-20343	241	21	:	:	PUNCT
fcis-20343	241	22	chasing	chase	VERB
fcis-20343	241	23	higher	high	ADJ
fcis-20343	241	24	flops	flop	NOUN
fcis-20343	241	25	for	for	ADP
fcis-20343	241	26	faster	fast	ADJ
fcis-20343	241	27	neural	neural	ADJ
fcis-20343	241	28	networks[c]//proceedings	networks[c]//proceedings	PROPN
fcis-20343	241	29	of	of	ADP
fcis-20343	241	30	the	the	DET
fcis-20343	241	31	ieee	ieee	NOUN
fcis-20343	241	32	/	/	SYM
fcis-20343	241	33	cvf	cvf	NOUN
fcis-20343	241	34	conference	conference	NOUN
fcis-20343	241	35	on	on	ADP
fcis-20343	241	36	computer	computer	NOUN
fcis-20343	241	37	vision	vision	NOUN
fcis-20343	241	38	and	and	CCONJ
fcis-20343	241	39	pattern	pattern	NOUN
fcis-20343	241	40	recognition	recognition	NOUN
fcis-20343	241	41	.	.	PUNCT
fcis-20343	242	1	2023	2023	NUM
fcis-20343	242	2	:	:	PUNCT
fcis-20343	242	3	12021	12021	NUM
fcis-20343	242	4	-	-	SYM
fcis-20343	242	5	12031	12031	NUM
fcis-20343	242	6	.	.	PUNCT
fcis-20343	243	1	[	[	X
fcis-20343	243	2	33	33	NUM
fcis-20343	243	3	]	]	PUNCT
fcis-20343	243	4	hu	hu	PROPN
fcis-20343	243	5	j	j	PROPN
fcis-20343	243	6	,	,	PUNCT
fcis-20343	243	7	shen	shen	PROPN
fcis-20343	243	8	l	l	PROPN
fcis-20343	243	9	,	,	PUNCT
fcis-20343	243	10	sun	sun	PROPN
fcis-20343	243	11	g.	g.	PROPN
fcis-20343	243	12	squeeze	squeeze	PROPN
fcis-20343	243	13	-	-	PUNCT
fcis-20343	243	14	and	and	CCONJ
fcis-20343	243	15	-	-	PUNCT
fcis-20343	243	16	excitation	excitation	NOUN
fcis-20343	243	17	networks	network	NOUN
fcis-20343	243	18	[	[	PUNCT
fcis-20343	243	19	c]//	c]//	ADJ
fcis-20343	243	20	proceedings	proceeding	NOUN
fcis-20343	243	21	of	of	ADP
fcis-20343	243	22	the	the	DET
fcis-20343	243	23	ieee	ieee	NOUN
fcis-20343	243	24	conference	conference	NOUN
fcis-20343	243	25	on	on	ADP
fcis-20343	243	26	computer	computer	NOUN
fcis-20343	243	27	vision	vision	NOUN
fcis-20343	243	28	and	and	CCONJ
fcis-20343	243	29	pattern	pattern	NOUN
fcis-20343	243	30	recognition	recognition	NOUN
fcis-20343	243	31	.	.	PUNCT
fcis-20343	244	1	2018	2018	NUM
fcis-20343	244	2	:	:	PUNCT
fcis-20343	244	3	7132	7132	NUM
fcis-20343	244	4	-	-	SYM
fcis-20343	244	5	7141	7141	NUM
fcis-20343	244	6	.	.	PUNCT
fcis-20343	245	1	[	[	X
fcis-20343	245	2	34	34	NUM
fcis-20343	245	3	]	]	X
fcis-20343	245	4	zheng	zheng	PROPN
fcis-20343	245	5	z	z	PROPN
fcis-20343	245	6	,	,	PUNCT
fcis-20343	245	7	wang	wang	PROPN
fcis-20343	245	8	p	p	PROPN
fcis-20343	245	9	,	,	PUNCT
fcis-20343	245	10	liu	liu	PROPN
fcis-20343	245	11	w	w	PROPN
fcis-20343	245	12	,	,	PUNCT
fcis-20343	245	13	et	et	PROPN
fcis-20343	245	14	al	al	PROPN
fcis-20343	245	15	.	.	PROPN
fcis-20343	245	16	distance	distance	NOUN
fcis-20343	245	17	-	-	PUNCT
fcis-20343	245	18	iou	iou	NOUN
fcis-20343	245	19	loss	loss	NOUN
fcis-20343	245	20	:	:	PUNCT
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fcis-20343	245	22	and	and	CCONJ
fcis-20343	245	23	better	well	ADV
fcis-20343	245	24	learning	learn	VERB
fcis-20343	245	25	for	for	ADP
fcis-20343	245	26	bounding	bound	VERB
fcis-20343	245	27	box	box	NOUN
fcis-20343	245	28	regression[c]//	regression[c]//	PROPN
fcis-20343	245	29	proceedings	proceeding	NOUN
fcis-20343	245	30	of	of	ADP
fcis-20343	245	31	the	the	DET
fcis-20343	245	32	aaai	aaai	PROPN
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fcis-20343	245	34	on	on	ADP
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fcis-20343	245	36	intelligence	intelligence	NOUN
fcis-20343	245	37	.	.	PUNCT
fcis-20343	246	1	2020	2020	NUM
fcis-20343	246	2	,	,	PUNCT
fcis-20343	246	3	34(07	34(07	NUM
fcis-20343	246	4	):	):	PUNCT
fcis-20343	246	5	12993	12993	NUM
fcis-20343	246	6	-	-	SYM
fcis-20343	246	7	13000	13000	NUM
fcis-20343	246	8	.	.	PUNCT
fcis-20343	247	1	[	[	X
fcis-20343	247	2	35	35	NUM
fcis-20343	247	3	]	]	PUNCT
fcis-20343	247	4	gevorgyan	gevorgyan	PROPN
fcis-20343	247	5	z.	z.	PROPN
fcis-20343	247	6	siou	siou	PROPN
fcis-20343	247	7	loss	loss	NOUN
fcis-20343	247	8	:	:	PUNCT
fcis-20343	247	9	more	more	ADV
fcis-20343	247	10	powerful	powerful	ADJ
fcis-20343	247	11	learning	learn	VERB
fcis-20343	247	12	for	for	ADP
fcis-20343	247	13	bounding	bound	VERB
fcis-20343	247	14	box	box	NOUN
fcis-20343	247	15	regression[j	regression[j	PROPN
fcis-20343	247	16	]	]	PUNCT
fcis-20343	247	17	.	.	PUNCT
fcis-20343	248	1	arxiv	arxiv	PROPN
fcis-20343	248	2	preprint	preprint	VERB
fcis-20343	248	3	arxiv:2205.12740	arxiv:2205.12740	NOUN
fcis-20343	248	4	,	,	PUNCT
fcis-20343	248	5	2022	2022	NUM
fcis-20343	248	6	.	.	PUNCT
fcis-20343	249	1	[	[	X
fcis-20343	249	2	36	36	NUM
fcis-20343	249	3	]	]	X
fcis-20343	249	4	zhang	zhang	PROPN
fcis-20343	249	5	y	y	PROPN
fcis-20343	249	6	f	f	PROPN
fcis-20343	249	7	,	,	PUNCT
fcis-20343	249	8	ren	ren	PROPN
fcis-20343	249	9	w	w	PROPN
fcis-20343	249	10	,	,	PUNCT
fcis-20343	249	11	zhang	zhang	PROPN
fcis-20343	249	12	z	z	PROPN
fcis-20343	249	13	,	,	PUNCT
fcis-20343	249	14	et	et	PROPN
fcis-20343	249	15	al	al	PROPN
fcis-20343	249	16	.	.	PROPN
fcis-20343	249	17	focal	focal	ADJ
fcis-20343	249	18	and	and	CCONJ
fcis-20343	249	19	efficient	efficient	ADJ
fcis-20343	249	20	iou	iou	NOUN
fcis-20343	249	21	loss	loss	NOUN
fcis-20343	249	22	for	for	ADP
fcis-20343	249	23	accurate	accurate	ADJ
fcis-20343	249	24	bounding	bounding	NOUN
fcis-20343	249	25	box	box	NOUN
fcis-20343	249	26	regression	regression	NOUN
fcis-20343	249	27	.	.	PUNCT
fcis-20343	250	1	arxiv	arxiv	PROPN
fcis-20343	250	2	2021[j	2021[j	NUM
fcis-20343	250	3	]	]	PUNCT
fcis-20343	250	4	.	.	PUNCT
fcis-20343	251	1	arxiv	arxiv	PROPN
fcis-20343	251	2	preprint	preprint	NOUN
fcis-20343	251	3	arxiv:2101.08158	arxiv:2101.08158	PROPN
fcis-20343	251	4	.	.	PUNCT
fcis-20343	252	1	[	[	X
fcis-20343	252	2	37	37	NUM
fcis-20343	252	3	]	]	PUNCT
fcis-20343	252	4	rezatofighi	rezatofighi	PROPN
fcis-20343	252	5	h	h	PROPN
fcis-20343	252	6	,	,	PUNCT
fcis-20343	252	7	tsoi	tsoi	PROPN
fcis-20343	252	8	n	n	CCONJ
fcis-20343	252	9	,	,	PUNCT
fcis-20343	252	10	gwak	gwak	PROPN
fcis-20343	252	11	j	j	PROPN
fcis-20343	252	12	y	y	PROPN
fcis-20343	252	13	,	,	PUNCT
fcis-20343	252	14	et	et	PROPN
fcis-20343	252	15	al	al	PROPN
fcis-20343	252	16	.	.	PROPN
fcis-20343	252	17	generalized	generalized	ADJ
fcis-20343	252	18	intersection	intersection	NOUN
fcis-20343	252	19	over	over	ADP
fcis-20343	252	20	union	union	NOUN
fcis-20343	252	21	:	:	PUNCT
fcis-20343	252	22	a	a	DET
fcis-20343	252	23	metric	metric	ADJ
fcis-20343	252	24	and	and	CCONJ
fcis-20343	252	25	a	a	DET
fcis-20343	252	26	loss	loss	NOUN
fcis-20343	252	27	for	for	ADP
fcis-20343	252	28	bounding	bound	VERB
fcis-20343	252	29	box	box	PROPN
fcis-20343	252	30	regression[c]//proceedings	regression[c]//proceedings	PROPN
fcis-20343	252	31	of	of	ADP
fcis-20343	252	32	the	the	DET
fcis-20343	252	33	ieee	ieee	NOUN
fcis-20343	252	34	/	/	SYM
fcis-20343	252	35	cvf	cvf	NOUN
fcis-20343	252	36	conference	conference	NOUN
fcis-20343	252	37	on	on	ADP
fcis-20343	252	38	computer	computer	NOUN
fcis-20343	252	39	vision	vision	NOUN
fcis-20343	252	40	and	and	CCONJ
fcis-20343	252	41	pattern	pattern	NOUN
fcis-20343	252	42	recognition	recognition	NOUN
fcis-20343	252	43	.	.	PUNCT
fcis-20343	253	1	2019	2019	NUM
fcis-20343	253	2	:	:	PUNCT
fcis-20343	253	3	658	658	NUM
fcis-20343	253	4	-	-	SYM
fcis-20343	253	5	666	666	NUM
fcis-20343	253	6	.	.	PUNCT
fcis-20343	254	1	[	[	X
fcis-20343	254	2	38	38	NUM
fcis-20343	254	3	]	]	PUNCT
fcis-20343	254	4	tong	tong	PROPN
fcis-20343	254	5	z	z	PROPN
fcis-20343	254	6	,	,	PUNCT
fcis-20343	254	7	chen	chen	PROPN
fcis-20343	254	8	y	y	PROPN
fcis-20343	254	9	,	,	PUNCT
fcis-20343	254	10	xu	xu	PROPN
fcis-20343	255	1	z	z	X
fcis-20343	255	2	,	,	PUNCT
fcis-20343	255	3	et	et	PROPN
fcis-20343	255	4	al	al	PROPN
fcis-20343	255	5	.	.	PUNCT
fcis-20343	256	1	wise	wise	ADJ
fcis-20343	256	2	-	-	PUNCT
fcis-20343	256	3	iou	iou	NOUN
fcis-20343	256	4	:	:	PUNCT
fcis-20343	256	5	bounding	bound	VERB
fcis-20343	256	6	box	box	NOUN
fcis-20343	256	7	regression	regression	NOUN
fcis-20343	256	8	loss	loss	NOUN
fcis-20343	256	9	with	with	ADP
fcis-20343	256	10	dynamic	dynamic	ADJ
fcis-20343	256	11	focusing	focus	VERB
fcis-20343	256	12	mechanism[j	mechanism[j	PROPN
fcis-20343	256	13	]	]	PUNCT
fcis-20343	256	14	.	.	PUNCT
fcis-20343	257	1	arxiv	arxiv	PROPN
fcis-20343	257	2	preprint	preprint	PROPN
fcis-20343	257	3	arxiv:2301.10051	arxiv:2301.10051	PROPN
fcis-20343	257	4	,	,	PUNCT
fcis-20343	257	5	2023	2023	NUM
fcis-20343	257	6	.	.	PUNCT