id	sid	tid	token	lemma	pos
fcis-12144	1	1	frontiers	frontier	NOUN
fcis-12144	1	2	in	in	ADP
fcis-12144	1	3	computing	computing	NOUN
fcis-12144	1	4	and	and	CCONJ
fcis-12144	1	5	intelligent	intelligent	ADJ
fcis-12144	1	6	systems	system	NOUN
fcis-12144	1	7	issn	issn	VERB
fcis-12144	1	8	:	:	PUNCT
fcis-12144	1	9	2832	2832	NUM
fcis-12144	1	10	-	-	SYM
fcis-12144	1	11	6024	6024	NUM
fcis-12144	1	12	|	|	NOUN
fcis-12144	1	13	vol	vol	NOUN
fcis-12144	1	14	.	.	PROPN
fcis-12144	2	1	5	5	NUM
fcis-12144	2	2	,	,	PUNCT
fcis-12144	2	3	no	no	INTJ
fcis-12144	2	4	.	.	NOUN
fcis-12144	2	5	2	2	NUM
fcis-12144	2	6	,	,	PUNCT
fcis-12144	2	7	2023	2023	NUM
fcis-12144	2	8	12	12	NUM
fcis-12144	2	9	remote	remote	ADJ
fcis-12144	2	10	sensing	sense	VERB
fcis-12144	2	11	target	target	NOUN
fcis-12144	2	12	detection	detection	NOUN
fcis-12144	2	13	algorithm	algorithm	NOUN
fcis-12144	2	14	based	base	VERB
fcis-12144	2	15	on	on	ADP
fcis-12144	2	16	cbam‐yolov5	cbam‐yolov5	PROPN
fcis-12144	2	17	liang	liang	PROPN
fcis-12144	2	18	bai	bai	PROPN
fcis-12144	2	19	1	1	NUM
fcis-12144	2	20	,	,	PUNCT
fcis-12144	2	21	xuewen	xuewen	PROPN
fcis-12144	2	22	ding	de	VERB
fcis-12144	2	23	1	1	NUM
fcis-12144	2	24	,	,	PUNCT
fcis-12144	2	25	2	2	NUM
fcis-12144	2	26	,	,	PUNCT
fcis-12144	2	27	limei	limei	PROPN
fcis-12144	2	28	chang	chang	PROPN
fcis-12144	2	29	1	1	NUM
fcis-12144	2	30	1	1	NUM
fcis-12144	2	31	college	college	NOUN
fcis-12144	2	32	of	of	ADP
fcis-12144	2	33	electronic	electronic	ADJ
fcis-12144	2	34	engineering	engineering	NOUN
fcis-12144	2	35	,	,	PUNCT
fcis-12144	2	36	tianjin	tianjin	PROPN
fcis-12144	2	37	polytechnic	polytechnic	PROPN
fcis-12144	2	38	normal	normal	ADJ
fcis-12144	2	39	university	university	NOUN
fcis-12144	2	40	,	,	PUNCT
fcis-12144	2	41	tianjin	tianjin	PROPN
fcis-12144	2	42	300222	300222	NUM
fcis-12144	2	43	,	,	PUNCT
fcis-12144	2	44	china	china	PROPN
fcis-12144	2	45	2	2	NUM
fcis-12144	2	46	tianjin	tianjin	PROPN
fcis-12144	2	47	yunzhitong	yunzhitong	PROPN
fcis-12144	2	48	technology	technology	PROPN
fcis-12144	2	49	co.	co.	PROPN
fcis-12144	2	50	,	,	PUNCT
fcis-12144	2	51	ltd	ltd	PROPN
fcis-12144	2	52	.	.	PROPN
fcis-12144	2	53	,	,	PUNCT
fcis-12144	2	54	tianjin	tianjin	PROPN
fcis-12144	2	55	300350	300350	NUM
fcis-12144	2	56	,	,	PUNCT
fcis-12144	2	57	china	china	PROPN
fcis-12144	2	58	abstract	abstract	PROPN
fcis-12144	2	59	:	:	PUNCT
fcis-12144	2	60	with	with	ADP
fcis-12144	2	61	the	the	DET
fcis-12144	2	62	continuous	continuous	ADJ
fcis-12144	2	63	improvement	improvement	NOUN
fcis-12144	2	64	of	of	ADP
fcis-12144	2	65	traditional	traditional	ADJ
fcis-12144	2	66	target	target	NOUN
fcis-12144	2	67	detection	detection	NOUN
fcis-12144	2	68	algorithms	algorithm	NOUN
fcis-12144	2	69	,	,	PUNCT
fcis-12144	2	70	remote	remote	ADJ
fcis-12144	2	71	sensing	sense	VERB
fcis-12144	2	72	targets	target	NOUN
fcis-12144	2	73	have	have	AUX
fcis-12144	2	74	become	become	VERB
fcis-12144	2	75	a	a	DET
fcis-12144	2	76	research	research	NOUN
fcis-12144	2	77	hotspot	hotspot	NOUN
fcis-12144	2	78	.	.	PUNCT
fcis-12144	3	1	aiming	aim	VERB
fcis-12144	3	2	at	at	ADP
fcis-12144	3	3	the	the	DET
fcis-12144	3	4	problems	problem	NOUN
fcis-12144	3	5	of	of	ADP
fcis-12144	3	6	low	low	ADJ
fcis-12144	3	7	recognition	recognition	NOUN
fcis-12144	3	8	accuracy	accuracy	NOUN
fcis-12144	3	9	caused	cause	VERB
fcis-12144	3	10	by	by	ADP
fcis-12144	3	11	small	small	ADJ
fcis-12144	3	12	target	target	NOUN
fcis-12144	3	13	size	size	NOUN
fcis-12144	3	14	and	and	CCONJ
fcis-12144	3	15	high	high	ADJ
fcis-12144	3	16	background	background	NOUN
fcis-12144	3	17	complexity	complexity	NOUN
fcis-12144	3	18	in	in	ADP
fcis-12144	3	19	remote	remote	ADJ
fcis-12144	3	20	sensing	sensing	NOUN
fcis-12144	3	21	images	image	NOUN
fcis-12144	3	22	taken	take	VERB
fcis-12144	3	23	from	from	ADP
fcis-12144	3	24	overhead	overhead	ADJ
fcis-12144	3	25	view	view	NOUN
fcis-12144	3	26	,	,	PUNCT
fcis-12144	3	27	this	this	DET
fcis-12144	3	28	paper	paper	NOUN
fcis-12144	3	29	proposes	propose	VERB
fcis-12144	3	30	a	a	DET
fcis-12144	3	31	remote	remote	ADJ
fcis-12144	3	32	sensing	sense	VERB
fcis-12144	3	33	aircraft	aircraft	NOUN
fcis-12144	3	34	detection	detection	NOUN
fcis-12144	3	35	algorithm	algorithm	NOUN
fcis-12144	3	36	based	base	VERB
fcis-12144	3	37	on	on	ADP
fcis-12144	3	38	cbam	cbam	NOUN
fcis-12144	3	39	-	-	PUNCT
fcis-12144	3	40	yolov5	yolov5	NOUN
fcis-12144	3	41	.	.	PUNCT
fcis-12144	4	1	by	by	ADP
fcis-12144	4	2	introducing	introduce	VERB
fcis-12144	4	3	the	the	DET
fcis-12144	4	4	lightweight	lightweight	ADJ
fcis-12144	4	5	convolutional	convolutional	ADJ
fcis-12144	4	6	attention	attention	NOUN
fcis-12144	4	7	module	module	NOUN
fcis-12144	4	8	cbam	cbam	NOUN
fcis-12144	4	9	module	module	NOUN
fcis-12144	4	10	into	into	ADP
fcis-12144	4	11	the	the	DET
fcis-12144	4	12	yolov5	yolov5	NOUN
fcis-12144	4	13	network	network	NOUN
fcis-12144	4	14	,	,	PUNCT
fcis-12144	4	15	the	the	DET
fcis-12144	4	16	feature	feature	NOUN
fcis-12144	4	17	extraction	extraction	NOUN
fcis-12144	4	18	capability	capability	NOUN
fcis-12144	4	19	of	of	ADP
fcis-12144	4	20	the	the	DET
fcis-12144	4	21	algorithm	algorithm	NOUN
fcis-12144	4	22	is	be	AUX
fcis-12144	4	23	improved	improve	VERB
fcis-12144	4	24	to	to	PART
fcis-12144	4	25	solve	solve	VERB
fcis-12144	4	26	the	the	DET
fcis-12144	4	27	problem	problem	NOUN
fcis-12144	4	28	that	that	SCONJ
fcis-12144	4	29	the	the	DET
fcis-12144	4	30	small	small	ADJ
fcis-12144	4	31	-	-	PUNCT
fcis-12144	4	32	size	size	NOUN
fcis-12144	4	33	remote	remote	ADJ
fcis-12144	4	34	sensing	sense	VERB
fcis-12144	4	35	target	target	NOUN
fcis-12144	4	36	has	have	AUX
fcis-12144	4	37	little	little	ADJ
fcis-12144	4	38	or	or	CCONJ
fcis-12144	4	39	even	even	ADV
fcis-12144	4	40	lost	lose	VERB
fcis-12144	4	41	information	information	NOUN
fcis-12144	4	42	on	on	ADP
fcis-12144	4	43	the	the	DET
fcis-12144	4	44	feature	feature	NOUN
fcis-12144	4	45	map	map	NOUN
fcis-12144	4	46	after	after	ADP
fcis-12144	4	47	multiple	multiple	ADJ
fcis-12144	4	48	downsampling	downsample	VERB
fcis-12144	4	49	operations	operation	NOUN
fcis-12144	4	50	.	.	PUNCT
fcis-12144	5	1	the	the	DET
fcis-12144	5	2	map	map	NOUN
fcis-12144	5	3	of	of	ADP
fcis-12144	5	4	the	the	DET
fcis-12144	5	5	proposed	propose	VERB
fcis-12144	5	6	algorithm	algorithm	NOUN
fcis-12144	5	7	reaches	reach	VERB
fcis-12144	5	8	93.1	93.1	NUM
fcis-12144	5	9	%	%	NOUN
fcis-12144	5	10	,	,	PUNCT
fcis-12144	5	11	which	which	PRON
fcis-12144	5	12	is	be	AUX
fcis-12144	5	13	1	1	NUM
fcis-12144	5	14	%	%	NOUN
fcis-12144	5	15	higher	high	ADJ
fcis-12144	5	16	than	than	ADP
fcis-12144	5	17	that	that	PRON
fcis-12144	5	18	of	of	ADP
fcis-12144	5	19	the	the	DET
fcis-12144	5	20	original	original	ADJ
fcis-12144	5	21	algorithm	algorithm	NOUN
fcis-12144	5	22	,	,	PUNCT
fcis-12144	5	23	and	and	CCONJ
fcis-12144	5	24	the	the	DET
fcis-12144	5	25	recognition	recognition	NOUN
fcis-12144	5	26	of	of	ADP
fcis-12144	5	27	small	small	ADJ
fcis-12144	5	28	-	-	PUNCT
fcis-12144	5	29	size	size	NOUN
fcis-12144	5	30	remote	remote	ADJ
fcis-12144	5	31	sensing	sense	VERB
fcis-12144	5	32	targets	target	NOUN
fcis-12144	5	33	has	have	AUX
fcis-12144	5	34	been	be	AUX
fcis-12144	5	35	significantly	significantly	ADV
fcis-12144	5	36	improved	improve	VERB
fcis-12144	5	37	.	.	PUNCT
fcis-12144	6	1	keywords	keyword	NOUN
fcis-12144	6	2	:	:	PUNCT
fcis-12144	6	3	yolov5n	yolov5n	ADJ
fcis-12144	6	4	;	;	PUNCT
fcis-12144	6	5	target	target	NOUN
fcis-12144	6	6	detection	detection	NOUN
fcis-12144	6	7	;	;	PUNCT
fcis-12144	6	8	cbam	cbam	NOUN
fcis-12144	6	9	;	;	PUNCT
fcis-12144	6	10	remote	remote	ADJ
fcis-12144	6	11	sensing	sense	VERB
fcis-12144	6	12	image	image	NOUN
fcis-12144	6	13	.	.	PUNCT
fcis-12144	7	1	1	1	X
fcis-12144	7	2	.	.	X
fcis-12144	7	3	introduction	introduction	NOUN
fcis-12144	7	4	remote	remote	ADJ
fcis-12144	7	5	sensing	sensing	NOUN
fcis-12144	7	6	images	image	NOUN
fcis-12144	7	7	are	be	AUX
fcis-12144	7	8	generally	generally	ADV
fcis-12144	7	9	captured	capture	VERB
fcis-12144	7	10	by	by	ADP
fcis-12144	7	11	remote	remote	ADJ
fcis-12144	7	12	sensing	sense	VERB
fcis-12144	7	13	satellite	satellite	NOUN
fcis-12144	7	14	or	or	CCONJ
fcis-12144	7	15	uav	uav	PROPN
fcis-12144	7	16	aerial	aerial	ADJ
fcis-12144	7	17	photography	photography	NOUN
fcis-12144	7	18	,	,	PUNCT
fcis-12144	7	19	and	and	CCONJ
fcis-12144	7	20	are	be	AUX
fcis-12144	7	21	formed	form	VERB
fcis-12144	7	22	after	after	ADP
fcis-12144	7	23	a	a	DET
fcis-12144	7	24	series	series	NOUN
fcis-12144	7	25	of	of	ADP
fcis-12144	7	26	image	image	NOUN
fcis-12144	7	27	processing	processing	NOUN
fcis-12144	7	28	.	.	PUNCT
fcis-12144	8	1	with	with	ADP
fcis-12144	8	2	the	the	DET
fcis-12144	8	3	rapid	rapid	ADJ
fcis-12144	8	4	development	development	NOUN
fcis-12144	8	5	of	of	ADP
fcis-12144	8	6	remote	remote	ADJ
fcis-12144	8	7	sensing	sense	VERB
fcis-12144	8	8	satellite	satellite	NOUN
fcis-12144	8	9	technology	technology	NOUN
fcis-12144	8	10	and	and	CCONJ
fcis-12144	8	11	image	image	NOUN
fcis-12144	8	12	processing	processing	NOUN
fcis-12144	8	13	technology	technology	NOUN
fcis-12144	8	14	,	,	PUNCT
fcis-12144	8	15	the	the	DET
fcis-12144	8	16	number	number	NOUN
fcis-12144	8	17	of	of	ADP
fcis-12144	8	18	highly	highly	ADV
fcis-12144	8	19	informative	informative	ADJ
fcis-12144	8	20	and	and	CCONJ
fcis-12144	8	21	highresolution	highresolution	NOUN
fcis-12144	8	22	remote	remote	ADJ
fcis-12144	8	23	sensing	sense	VERB
fcis-12144	8	24	image	image	NOUN
fcis-12144	8	25	data	datum	NOUN
fcis-12144	8	26	is	be	AUX
fcis-12144	8	27	increasing	increase	VERB
fcis-12144	8	28	day	day	NOUN
fcis-12144	8	29	by	by	ADP
fcis-12144	8	30	day	day	NOUN
fcis-12144	8	31	,	,	PUNCT
fcis-12144	8	32	making	make	VERB
fcis-12144	8	33	remote	remote	ADJ
fcis-12144	8	34	sensing	sense	VERB
fcis-12144	8	35	target	target	NOUN
fcis-12144	8	36	detection	detection	NOUN
fcis-12144	8	37	become	become	VERB
fcis-12144	8	38	a	a	DET
fcis-12144	8	39	research	research	NOUN
fcis-12144	8	40	hotspot	hotspot	NOUN
fcis-12144	8	41	in	in	ADP
fcis-12144	8	42	the	the	DET
fcis-12144	8	43	field	field	NOUN
fcis-12144	8	44	of	of	ADP
fcis-12144	8	45	remote	remote	ADJ
fcis-12144	8	46	sensing	sensing	NOUN
fcis-12144	8	47	,	,	PUNCT
fcis-12144	8	48	and	and	CCONJ
fcis-12144	8	49	has	have	AUX
fcis-12144	8	50	been	be	AUX
fcis-12144	8	51	widely	widely	ADV
fcis-12144	8	52	used	use	VERB
fcis-12144	8	53	in	in	ADP
fcis-12144	8	54	military	military	ADJ
fcis-12144	8	55	security	security	NOUN
fcis-12144	8	56	,	,	PUNCT
fcis-12144	8	57	rescue	rescue	NOUN
fcis-12144	8	58	and	and	CCONJ
fcis-12144	8	59	search	search	NOUN
fcis-12144	8	60	and	and	CCONJ
fcis-12144	8	61	other	other	ADJ
fcis-12144	8	62	aspects	aspect	NOUN
fcis-12144	8	63	.	.	PUNCT
fcis-12144	9	1	however	however	ADV
fcis-12144	9	2	,	,	PUNCT
fcis-12144	9	3	remote	remote	ADJ
fcis-12144	9	4	sensing	sensing	NOUN
fcis-12144	9	5	images	image	NOUN
fcis-12144	9	6	have	have	VERB
fcis-12144	9	7	many	many	ADJ
fcis-12144	9	8	problems	problem	NOUN
fcis-12144	9	9	,	,	PUNCT
fcis-12144	9	10	such	such	ADJ
fcis-12144	9	11	as	as	ADP
fcis-12144	9	12	unique	unique	ADJ
fcis-12144	9	13	viewing	view	VERB
fcis-12144	9	14	angle	angle	NOUN
fcis-12144	9	15	,	,	PUNCT
fcis-12144	9	16	small	small	ADJ
fcis-12144	9	17	target	target	NOUN
fcis-12144	9	18	size	size	NOUN
fcis-12144	9	19	and	and	CCONJ
fcis-12144	9	20	high	high	ADJ
fcis-12144	9	21	background	background	NOUN
fcis-12144	9	22	complexity	complexity	NOUN
fcis-12144	9	23	,	,	PUNCT
fcis-12144	9	24	which	which	PRON
fcis-12144	9	25	make	make	VERB
fcis-12144	9	26	the	the	DET
fcis-12144	9	27	recognition	recognition	NOUN
fcis-12144	9	28	process	process	NOUN
fcis-12144	9	29	of	of	ADP
fcis-12144	9	30	remote	remote	ADJ
fcis-12144	9	31	sensing	sensing	NOUN
fcis-12144	9	32	images	image	NOUN
fcis-12144	9	33	more	more	ADV
fcis-12144	9	34	difficult	difficult	ADJ
fcis-12144	9	35	than	than	ADP
fcis-12144	9	36	that	that	PRON
fcis-12144	9	37	of	of	ADP
fcis-12144	9	38	ordinary	ordinary	ADJ
fcis-12144	9	39	images	image	NOUN
fcis-12144	9	40	.	.	PUNCT
fcis-12144	10	1	with	with	ADP
fcis-12144	10	2	the	the	DET
fcis-12144	10	3	rapid	rapid	ADJ
fcis-12144	10	4	development	development	NOUN
fcis-12144	10	5	of	of	ADP
fcis-12144	10	6	deep	deep	ADJ
fcis-12144	10	7	learning	learning	NOUN
fcis-12144	10	8	,	,	PUNCT
fcis-12144	10	9	object	object	VERB
fcis-12144	10	10	detection	detection	NOUN
fcis-12144	10	11	based	base	VERB
fcis-12144	10	12	on	on	ADP
fcis-12144	10	13	neural	neural	ADJ
fcis-12144	10	14	network	network	NOUN
fcis-12144	10	15	has	have	AUX
fcis-12144	10	16	become	become	VERB
fcis-12144	10	17	a	a	DET
fcis-12144	10	18	research	research	NOUN
fcis-12144	10	19	hotspot	hotspot	NOUN
fcis-12144	10	20	.	.	PUNCT
fcis-12144	11	1	object	object	NOUN
fcis-12144	11	2	detection	detection	NOUN
fcis-12144	11	3	algorithms	algorithm	NOUN
fcis-12144	11	4	based	base	VERB
fcis-12144	11	5	on	on	ADP
fcis-12144	11	6	convolutional	convolutional	ADJ
fcis-12144	11	7	neural	neural	ADJ
fcis-12144	11	8	networks	network	NOUN
fcis-12144	11	9	in	in	ADP
fcis-12144	11	10	neural	neural	ADJ
fcis-12144	11	11	networks	network	NOUN
fcis-12144	11	12	can	can	AUX
fcis-12144	11	13	be	be	AUX
fcis-12144	11	14	divided	divide	VERB
fcis-12144	11	15	into	into	ADP
fcis-12144	11	16	two	two	NUM
fcis-12144	11	17	categories	category	NOUN
fcis-12144	11	18	:	:	PUNCT
fcis-12144	11	19	use	use	VERB
fcis-12144	11	20	r	r	NOUN
fcis-12144	11	21	-	-	PUNCT
fcis-12144	11	22	cnn	cnn	NOUN
fcis-12144	12	1	[	[	X
fcis-12144	12	2	1	1	NUM
fcis-12144	12	3	]	]	PUNCT
fcis-12144	12	4	,	,	PUNCT
fcis-12144	12	5	fast	fast	ADJ
fcis-12144	12	6	r	r	NOUN
fcis-12144	12	7	-	-	PUNCT
fcis-12144	12	8	cnn	cnn	NOUN
fcis-12144	13	1	[	[	X
fcis-12144	13	2	2	2	NUM
fcis-12144	13	3	]	]	PUNCT
fcis-12144	13	4	,	,	PUNCT
fcis-12144	13	5	faster	fast	ADV
fcis-12144	13	6	r	r	VERB
fcis-12144	13	7	-	-	PUNCT
fcis-12144	13	8	cnn	cnn	NOUN
fcis-12144	13	9	[	[	X
fcis-12144	13	10	3	3	NUM
fcis-12144	13	11	]	]	PUNCT
fcis-12144	13	12	,	,	PUNCT
fcis-12144	13	13	mask	mask	VERB
fcis-12144	13	14	the	the	DET
fcis-12144	13	15	two	two	NUM
fcis-12144	13	16	-	-	PUNCT
fcis-12144	13	17	stage	stage	NOUN
fcis-12144	13	18	object	object	NOUN
fcis-12144	13	19	detection	detection	NOUN
fcis-12144	13	20	algorithm	algorithm	NOUN
fcis-12144	13	21	based	base	VERB
fcis-12144	13	22	on	on	ADP
fcis-12144	13	23	candidate	candidate	NOUN
fcis-12144	13	24	region	region	NOUN
fcis-12144	13	25	represented	represent	VERB
fcis-12144	13	26	by	by	ADP
fcis-12144	13	27	r	r	NOUN
fcis-12144	13	28	-	-	PUNCT
fcis-12144	13	29	cnn	cnn	NOUN
fcis-12144	14	1	[	[	X
fcis-12144	14	2	4	4	X
fcis-12144	14	3	]	]	PUNCT
fcis-12144	14	4	and	and	CCONJ
fcis-12144	14	5	the	the	DET
fcis-12144	14	6	singlestage	singlestage	NOUN
fcis-12144	14	7	object	object	NOUN
fcis-12144	14	8	detection	detection	NOUN
fcis-12144	14	9	algorithm	algorithm	NOUN
fcis-12144	14	10	represented	represent	VERB
fcis-12144	14	11	by	by	ADP
fcis-12144	14	12	ssd	ssd	NOUN
fcis-12144	14	13	[	[	X
fcis-12144	14	14	5	5	NUM
fcis-12144	14	15	]	]	PUNCT
fcis-12144	14	16	and	and	CCONJ
fcis-12144	14	17	yolo	yolo	PRON
fcis-12144	15	1	[	[	X
fcis-12144	15	2	6	6	NUM
fcis-12144	15	3	]	]	PUNCT
fcis-12144	15	4	series	series	NOUN
fcis-12144	15	5	directly	directly	ADV
fcis-12144	15	6	generates	generate	VERB
fcis-12144	15	7	its	its	PRON
fcis-12144	15	8	class	class	NOUN
fcis-12144	15	9	probability	probability	NOUN
fcis-12144	15	10	and	and	CCONJ
fcis-12144	15	11	position	position	NOUN
fcis-12144	15	12	coordinate	coordinate	NOUN
fcis-12144	15	13	value	value	NOUN
fcis-12144	15	14	on	on	ADP
fcis-12144	15	15	the	the	DET
fcis-12144	15	16	object	object	NOUN
fcis-12144	15	17	.	.	PUNCT
fcis-12144	16	1	because	because	SCONJ
fcis-12144	16	2	the	the	DET
fcis-12144	16	3	twostage	twostage	NOUN
fcis-12144	16	4	detection	detection	NOUN
fcis-12144	16	5	algorithm	algorithm	NOUN
fcis-12144	16	6	forms	form	VERB
fcis-12144	16	7	a	a	DET
fcis-12144	16	8	pre	pre	ADJ
fcis-12144	16	9	-	-	ADJ
fcis-12144	16	10	selection	selection	ADJ
fcis-12144	16	11	box	box	NOUN
fcis-12144	16	12	to	to	PART
fcis-12144	16	13	predict	predict	VERB
fcis-12144	16	14	the	the	DET
fcis-12144	16	15	proposed	propose	VERB
fcis-12144	16	16	area	area	NOUN
fcis-12144	16	17	,	,	PUNCT
fcis-12144	16	18	the	the	DET
fcis-12144	16	19	detection	detection	NOUN
fcis-12144	16	20	accuracy	accuracy	NOUN
fcis-12144	16	21	is	be	AUX
fcis-12144	16	22	relatively	relatively	ADV
fcis-12144	16	23	high	high	ADJ
fcis-12144	16	24	.	.	PUNCT
fcis-12144	17	1	at	at	ADP
fcis-12144	17	2	the	the	DET
fcis-12144	17	3	same	same	ADJ
fcis-12144	17	4	time	time	NOUN
fcis-12144	17	5	,	,	PUNCT
fcis-12144	17	6	due	due	ADP
fcis-12144	17	7	to	to	ADP
fcis-12144	17	8	the	the	DET
fcis-12144	17	9	complex	complex	ADJ
fcis-12144	17	10	structure	structure	NOUN
fcis-12144	17	11	,	,	PUNCT
fcis-12144	17	12	the	the	DET
fcis-12144	17	13	training	training	NOUN
fcis-12144	17	14	time	time	NOUN
fcis-12144	17	15	is	be	AUX
fcis-12144	17	16	relatively	relatively	ADV
fcis-12144	17	17	long	long	ADJ
fcis-12144	17	18	.	.	PUNCT
fcis-12144	18	1	the	the	DET
fcis-12144	18	2	single	single	ADJ
fcis-12144	18	3	-	-	PUNCT
fcis-12144	18	4	stage	stage	NOUN
fcis-12144	18	5	detection	detection	NOUN
fcis-12144	18	6	algorithm	algorithm	NOUN
fcis-12144	18	7	directly	directly	ADV
fcis-12144	18	8	detects	detect	VERB
fcis-12144	18	9	the	the	DET
fcis-12144	18	10	target	target	NOUN
fcis-12144	18	11	,	,	PUNCT
fcis-12144	18	12	which	which	PRON
fcis-12144	18	13	has	have	VERB
fcis-12144	18	14	simple	simple	ADJ
fcis-12144	18	15	structure	structure	NOUN
fcis-12144	18	16	and	and	CCONJ
fcis-12144	18	17	short	short	ADJ
fcis-12144	18	18	training	training	NOUN
fcis-12144	18	19	time	time	NOUN
fcis-12144	18	20	,	,	PUNCT
fcis-12144	18	21	but	but	CCONJ
fcis-12144	18	22	slightly	slightly	ADV
fcis-12144	18	23	low	low	ADJ
fcis-12144	18	24	precision	precision	NOUN
fcis-12144	18	25	.	.	PUNCT
fcis-12144	19	1	for	for	ADP
fcis-12144	19	2	the	the	DET
fcis-12144	19	3	problem	problem	NOUN
fcis-12144	19	4	of	of	ADP
fcis-12144	19	5	small	small	ADJ
fcis-12144	19	6	target	target	NOUN
fcis-12144	19	7	size	size	NOUN
fcis-12144	19	8	in	in	ADP
fcis-12144	19	9	remote	remote	ADJ
fcis-12144	19	10	sensing	sensing	NOUN
fcis-12144	19	11	images	image	NOUN
fcis-12144	19	12	,	,	PUNCT
fcis-12144	19	13	zhang	zhang	PROPN
fcis-12144	19	14	et	et	PROPN
fcis-12144	19	15	al	al	PROPN
fcis-12144	19	16	.	.	PUNCT
fcis-12144	20	1	[	[	X
fcis-12144	20	2	7	7	NUM
fcis-12144	20	3	]	]	PUNCT
fcis-12144	20	4	will	will	AUX
fcis-12144	20	5	expand	expand	VERB
fcis-12144	20	6	the	the	DET
fcis-12144	20	7	size	size	NOUN
fcis-12144	20	8	of	of	ADP
fcis-12144	20	9	the	the	DET
fcis-12144	20	10	feature	feature	NOUN
fcis-12144	20	11	map	map	NOUN
fcis-12144	20	12	by	by	ADP
fcis-12144	20	13	upsampling	upsample	VERB
fcis-12144	20	14	in	in	ADP
fcis-12144	20	15	the	the	DET
fcis-12144	20	16	candidate	candidate	NOUN
fcis-12144	20	17	region	region	NOUN
fcis-12144	20	18	of	of	ADP
fcis-12144	20	19	faster	fast	ADJ
fcis-12144	20	20	r	r	NOUN
fcis-12144	20	21	-	-	PUNCT
fcis-12144	20	22	cnn	cnn	NOUN
fcis-12144	20	23	to	to	PART
fcis-12144	20	24	improve	improve	VERB
fcis-12144	20	25	the	the	DET
fcis-12144	20	26	detection	detection	NOUN
fcis-12144	20	27	effect	effect	NOUN
fcis-12144	20	28	of	of	ADP
fcis-12144	20	29	small	small	ADJ
fcis-12144	20	30	and	and	CCONJ
fcis-12144	20	31	medium	medium	ADJ
fcis-12144	20	32	-	-	PUNCT
fcis-12144	20	33	sized	sized	ADJ
fcis-12144	20	34	targets	target	NOUN
fcis-12144	20	35	in	in	ADP
fcis-12144	20	36	remote	remote	ADJ
fcis-12144	20	37	sensing	sensing	NOUN
fcis-12144	20	38	images	image	NOUN
fcis-12144	20	39	.	.	PUNCT
fcis-12144	21	1	zhang	zhang	PROPN
fcis-12144	21	2	et	et	PROPN
fcis-12144	21	3	al	al	PROPN
fcis-12144	21	4	.	.	PUNCT
fcis-12144	22	1	[	[	X
fcis-12144	22	2	8	8	NUM
fcis-12144	22	3	]	]	PUNCT
fcis-12144	22	4	cascaded	cascade	VERB
fcis-12144	22	5	multilevel	multilevel	NOUN
fcis-12144	22	6	features	feature	NOUN
fcis-12144	22	7	in	in	ADP
fcis-12144	22	8	yolov3	yolov3	PROPN
fcis-12144	22	9	network	network	NOUN
fcis-12144	22	10	by	by	ADP
fcis-12144	22	11	using	use	VERB
fcis-12144	22	12	depthseparable	depthseparable	ADJ
fcis-12144	22	13	attention	attention	NOUN
fcis-12144	22	14	to	to	PART
fcis-12144	22	15	improve	improve	VERB
fcis-12144	22	16	the	the	DET
fcis-12144	22	17	feature	feature	NOUN
fcis-12144	22	18	expression	expression	NOUN
fcis-12144	22	19	capability	capability	NOUN
fcis-12144	22	20	of	of	ADP
fcis-12144	22	21	the	the	DET
fcis-12144	22	22	network	network	NOUN
fcis-12144	22	23	,	,	PUNCT
fcis-12144	22	24	thus	thus	ADV
fcis-12144	22	25	improving	improve	VERB
fcis-12144	22	26	the	the	DET
fcis-12144	22	27	detection	detection	NOUN
fcis-12144	22	28	accuracy	accuracy	NOUN
fcis-12144	22	29	of	of	ADP
fcis-12144	22	30	small	small	ADJ
fcis-12144	22	31	and	and	CCONJ
fcis-12144	22	32	medium	medium	ADJ
fcis-12144	22	33	-	-	PUNCT
fcis-12144	22	34	sized	sized	ADJ
fcis-12144	22	35	vehicles	vehicle	NOUN
fcis-12144	22	36	in	in	ADP
fcis-12144	22	37	remote	remote	ADJ
fcis-12144	22	38	sensing	sensing	NOUN
fcis-12144	22	39	images	image	NOUN
fcis-12144	22	40	.	.	PUNCT
fcis-12144	23	1	for	for	ADP
fcis-12144	23	2	the	the	DET
fcis-12144	23	3	problem	problem	NOUN
fcis-12144	23	4	of	of	ADP
fcis-12144	23	5	complex	complex	ADJ
fcis-12144	23	6	remote	remote	ADJ
fcis-12144	23	7	sensing	sense	VERB
fcis-12144	23	8	background	background	NOUN
fcis-12144	23	9	,	,	PUNCT
fcis-12144	23	10	song	song	NOUN
fcis-12144	23	11	et	et	PROPN
fcis-12144	23	12	al	al	PROPN
fcis-12144	23	13	.	.	PUNCT
fcis-12144	24	1	[	[	X
fcis-12144	24	2	9	9	NUM
fcis-12144	24	3	]	]	PUNCT
fcis-12144	24	4	proposed	propose	VERB
fcis-12144	24	5	to	to	PART
fcis-12144	24	6	add	add	VERB
fcis-12144	24	7	learning	learn	VERB
fcis-12144	24	8	parameters	parameter	NOUN
fcis-12144	24	9	to	to	ADP
fcis-12144	24	10	each	each	DET
fcis-12144	24	11	layer	layer	NOUN
fcis-12144	24	12	to	to	PART
fcis-12144	24	13	achieve	achieve	VERB
fcis-12144	24	14	the	the	DET
fcis-12144	24	15	adaptive	adaptive	ADJ
fcis-12144	24	16	fusion	fusion	NOUN
fcis-12144	24	17	of	of	ADP
fcis-12144	24	18	deep	deep	ADJ
fcis-12144	24	19	and	and	CCONJ
fcis-12144	24	20	shallow	shallow	ADJ
fcis-12144	24	21	features	feature	NOUN
fcis-12144	24	22	of	of	ADP
fcis-12144	24	23	adjacent	adjacent	ADJ
fcis-12144	24	24	and	and	CCONJ
fcis-12144	24	25	non	non	ADJ
fcis-12144	24	26	-	-	ADJ
fcis-12144	24	27	adjacent	adjacent	ADJ
fcis-12144	24	28	layers	layer	NOUN
fcis-12144	24	29	,	,	PUNCT
fcis-12144	24	30	and	and	CCONJ
fcis-12144	24	31	combined	combine	VERB
fcis-12144	24	32	with	with	ADP
fcis-12144	24	33	the	the	DET
fcis-12144	24	34	attention	attention	NOUN
fcis-12144	24	35	mechanism	mechanism	NOUN
fcis-12144	24	36	to	to	PART
fcis-12144	24	37	suppress	suppress	VERB
fcis-12144	24	38	the	the	DET
fcis-12144	24	39	problem	problem	NOUN
fcis-12144	24	40	of	of	ADP
fcis-12144	24	41	false	false	ADJ
fcis-12144	24	42	detection	detection	NOUN
fcis-12144	24	43	and	and	CCONJ
fcis-12144	24	44	missing	miss	VERB
fcis-12144	24	45	detection	detection	NOUN
fcis-12144	24	46	caused	cause	VERB
fcis-12144	24	47	by	by	ADP
fcis-12144	24	48	remote	remote	ADJ
fcis-12144	24	49	sensing	sense	VERB
fcis-12144	24	50	background	background	NOUN
fcis-12144	24	51	.	.	PUNCT
fcis-12144	25	1	liu	liu	PROPN
fcis-12144	25	2	et	et	PROPN
fcis-12144	25	3	al	al	PROPN
fcis-12144	25	4	.	.	PUNCT
fcis-12144	26	1	[	[	X
fcis-12144	26	2	10	10	NUM
fcis-12144	26	3	]	]	PUNCT
fcis-12144	26	4	proposed	propose	VERB
fcis-12144	26	5	a	a	DET
fcis-12144	26	6	module	module	NOUN
fcis-12144	26	7	with	with	ADP
fcis-12144	26	8	dual	dual	ADJ
fcis-12144	26	9	attention	attention	NOUN
fcis-12144	26	10	mechanism	mechanism	NOUN
fcis-12144	26	11	to	to	PART
fcis-12144	26	12	improve	improve	VERB
fcis-12144	26	13	the	the	DET
fcis-12144	26	14	extraction	extraction	NOUN
fcis-12144	26	15	ability	ability	NOUN
fcis-12144	26	16	of	of	ADP
fcis-12144	26	17	target	target	NOUN
fcis-12144	26	18	center	center	NOUN
fcis-12144	26	19	and	and	CCONJ
fcis-12144	26	20	edge	edge	NOUN
fcis-12144	26	21	feature	feature	NOUN
fcis-12144	26	22	center	center	NOUN
fcis-12144	26	23	to	to	PART
fcis-12144	26	24	reduce	reduce	VERB
fcis-12144	26	25	the	the	DET
fcis-12144	26	26	interference	interference	NOUN
fcis-12144	26	27	of	of	ADP
fcis-12144	26	28	complex	complex	ADJ
fcis-12144	26	29	background	background	NOUN
fcis-12144	26	30	.	.	PUNCT
fcis-12144	27	1	with	with	ADP
fcis-12144	27	2	the	the	DET
fcis-12144	27	3	continuous	continuous	ADJ
fcis-12144	27	4	update	update	NOUN
fcis-12144	27	5	and	and	CCONJ
fcis-12144	27	6	improvement	improvement	NOUN
fcis-12144	27	7	of	of	ADP
fcis-12144	27	8	yolo	yolo	ADJ
fcis-12144	27	9	series	series	PROPN
fcis-12144	27	10	algorithms	algorithms	PROPN
fcis-12144	27	11	,	,	PUNCT
fcis-12144	27	12	the	the	DET
fcis-12144	27	13	detection	detection	NOUN
fcis-12144	27	14	accuracy	accuracy	NOUN
fcis-12144	27	15	has	have	AUX
fcis-12144	27	16	been	be	AUX
fcis-12144	27	17	greatly	greatly	ADV
fcis-12144	27	18	improved	improve	VERB
fcis-12144	27	19	.	.	PUNCT
fcis-12144	28	1	therefore	therefore	ADV
fcis-12144	28	2	,	,	PUNCT
fcis-12144	28	3	based	base	VERB
fcis-12144	28	4	on	on	ADP
fcis-12144	28	5	yolov5n	yolov5n	PROPN
fcis-12144	28	6	algorithm	algorithm	PROPN
fcis-12144	28	7	,	,	PUNCT
fcis-12144	28	8	this	this	DET
fcis-12144	28	9	paper	paper	NOUN
fcis-12144	28	10	optimizes	optimize	VERB
fcis-12144	28	11	and	and	CCONJ
fcis-12144	28	12	improves	improve	VERB
fcis-12144	28	13	the	the	DET
fcis-12144	28	14	algorithm	algorithm	NOUN
fcis-12144	28	15	to	to	PART
fcis-12144	28	16	improve	improve	VERB
fcis-12144	28	17	the	the	DET
fcis-12144	28	18	detection	detection	NOUN
fcis-12144	28	19	effect	effect	NOUN
fcis-12144	28	20	of	of	ADP
fcis-12144	28	21	small	small	ADJ
fcis-12144	28	22	and	and	CCONJ
fcis-12144	28	23	medium	medium	ADJ
fcis-12144	28	24	-	-	PUNCT
fcis-12144	28	25	sized	sized	ADJ
fcis-12144	28	26	targets	target	NOUN
fcis-12144	28	27	in	in	ADP
fcis-12144	28	28	remote	remote	ADJ
fcis-12144	28	29	sensing	sensing	NOUN
fcis-12144	28	30	images	image	NOUN
fcis-12144	28	31	.	.	PUNCT
fcis-12144	29	1	2	2	X
fcis-12144	29	2	.	.	X
fcis-12144	29	3	yolov5	yolov5	NOUN
fcis-12144	29	4	algorithm	algorithm	PROPN
fcis-12144	29	5	introduction	introduction	NOUN
fcis-12144	29	6	the	the	DET
fcis-12144	29	7	yolov5	yolov5	NOUN
fcis-12144	29	8	algorithm	algorithm	NOUN
fcis-12144	29	9	model	model	NOUN
fcis-12144	29	10	can	can	AUX
fcis-12144	29	11	be	be	AUX
fcis-12144	29	12	divided	divide	VERB
fcis-12144	29	13	into	into	ADP
fcis-12144	29	14	four	four	NUM
fcis-12144	29	15	versions	version	NOUN
fcis-12144	29	16	according	accord	VERB
fcis-12144	29	17	to	to	ADP
fcis-12144	29	18	the	the	DET
fcis-12144	29	19	model	model	NOUN
fcis-12144	29	20	size	size	NOUN
fcis-12144	29	21	and	and	CCONJ
fcis-12144	29	22	complexity	complexity	NOUN
fcis-12144	29	23	.	.	PUNCT
fcis-12144	30	1	according	accord	VERB
fcis-12144	30	2	to	to	ADP
fcis-12144	30	3	the	the	DET
fcis-12144	30	4	model	model	NOUN
fcis-12144	30	5	size	size	NOUN
fcis-12144	30	6	and	and	CCONJ
fcis-12144	30	7	model	model	NOUN
fcis-12144	30	8	depth	depth	NOUN
fcis-12144	30	9	,	,	PUNCT
fcis-12144	30	10	the	the	DET
fcis-12144	30	11	ranking	ranking	NOUN
fcis-12144	30	12	is	be	AUX
fcis-12144	30	13	s	s	PROPN
fcis-12144	30	14	,	,	PUNCT
fcis-12144	30	15	m	m	PROPN
fcis-12144	30	16	,	,	PUNCT
fcis-12144	30	17	l	l	PROPN
fcis-12144	30	18	and	and	CCONJ
fcis-12144	30	19	x	x	X
fcis-12144	30	20	from	from	ADP
fcis-12144	30	21	small	small	ADJ
fcis-12144	30	22	to	to	PART
fcis-12144	30	23	small	small	ADJ
fcis-12144	30	24	.	.	PUNCT
fcis-12144	31	1	among	among	ADP
fcis-12144	31	2	them	they	PRON
fcis-12144	31	3	,	,	PUNCT
fcis-12144	31	4	"	"	PUNCT
fcis-12144	31	5	s	s	X
fcis-12144	31	6	"	"	PUNCT
fcis-12144	31	7	and	and	CCONJ
fcis-12144	31	8	"	"	PUNCT
fcis-12144	31	9	m	m	NOUN
fcis-12144	31	10	"	"	PUNCT
fcis-12144	31	11	models	model	NOUN
fcis-12144	31	12	are	be	AUX
fcis-12144	31	13	suitable	suitable	ADJ
fcis-12144	31	14	for	for	ADP
fcis-12144	31	15	small	small	ADJ
fcis-12144	31	16	and	and	CCONJ
fcis-12144	31	17	medium	medium	ADJ
fcis-12144	31	18	model	model	NOUN
fcis-12144	31	19	training	training	NOUN
fcis-12144	31	20	,	,	PUNCT
fcis-12144	31	21	while	while	SCONJ
fcis-12144	31	22	"	"	PUNCT
fcis-12144	31	23	l	l	NOUN
fcis-12144	31	24	"	"	PUNCT
fcis-12144	31	25	and	and	CCONJ
fcis-12144	31	26	"	"	PUNCT
fcis-12144	31	27	x	x	X
fcis-12144	31	28	"	"	PUNCT
fcis-12144	31	29	are	be	AUX
fcis-12144	31	30	suitable	suitable	ADJ
fcis-12144	31	31	for	for	ADP
fcis-12144	31	32	large	large	ADJ
fcis-12144	31	33	model	model	NOUN
fcis-12144	31	34	training	training	NOUN
fcis-12144	31	35	.	.	PUNCT
fcis-12144	32	1	in	in	ADP
fcis-12144	32	2	version	version	NOUN
fcis-12144	32	3	6.0	6.0	NUM
fcis-12144	32	4	,	,	PUNCT
fcis-12144	32	5	an	an	DET
fcis-12144	32	6	"	"	PUNCT
fcis-12144	32	7	n	n	CCONJ
fcis-12144	32	8	"	"	PUNCT
fcis-12144	32	9	model	model	NOUN
fcis-12144	32	10	between	between	ADP
fcis-12144	32	11	"	"	PUNCT
fcis-12144	32	12	s	s	NOUN
fcis-12144	32	13	"	"	PUNCT
fcis-12144	32	14	model	model	NOUN
fcis-12144	32	15	and	and	CCONJ
fcis-12144	32	16	"	"	PUNCT
fcis-12144	32	17	m	m	NOUN
fcis-12144	32	18	"	"	PUNCT
fcis-12144	32	19	model	model	NOUN
fcis-12144	32	20	is	be	AUX
fcis-12144	32	21	introduced	introduce	VERB
fcis-12144	32	22	to	to	PART
fcis-12144	32	23	balance	balance	VERB
fcis-12144	32	24	the	the	DET
fcis-12144	32	25	training	training	NOUN
fcis-12144	32	26	speed	speed	NOUN
fcis-12144	32	27	and	and	CCONJ
fcis-12144	32	28	detection	detection	NOUN
fcis-12144	32	29	performance	performance	NOUN
fcis-12144	32	30	.	.	PUNCT
fcis-12144	33	1	while	while	SCONJ
fcis-12144	33	2	the	the	DET
fcis-12144	33	3	"	"	PUNCT
fcis-12144	33	4	n	n	CCONJ
fcis-12144	33	5	"	"	PUNCT
fcis-12144	33	6	model	model	NOUN
fcis-12144	33	7	is	be	AUX
fcis-12144	33	8	faster	fast	ADJ
fcis-12144	33	9	than	than	ADP
fcis-12144	33	10	the	the	DET
fcis-12144	33	11	"	"	PUNCT
fcis-12144	33	12	s	s	NOUN
fcis-12144	33	13	"	"	PUNCT
fcis-12144	33	14	model	model	NOUN
fcis-12144	33	15	,	,	PUNCT
fcis-12144	33	16	the	the	DET
fcis-12144	33	17	detection	detection	NOUN
fcis-12144	33	18	performance	performance	NOUN
fcis-12144	33	19	is	be	AUX
fcis-12144	33	20	also	also	ADV
fcis-12144	33	21	better	well	ADJ
fcis-12144	33	22	than	than	ADP
fcis-12144	33	23	the	the	DET
fcis-12144	33	24	"	"	PUNCT
fcis-12144	33	25	m	m	NOUN
fcis-12144	33	26	"	"	PUNCT
fcis-12144	33	27	model	model	NOUN
fcis-12144	33	28	.	.	PUNCT
fcis-12144	34	1	therefore	therefore	ADV
fcis-12144	34	2	,	,	PUNCT
fcis-12144	34	3	this	this	DET
fcis-12144	34	4	paper	paper	NOUN
fcis-12144	34	5	chooses	choose	VERB
fcis-12144	34	6	yolov5n	yolov5n	PROPN
fcis-12144	34	7	as	as	ADP
fcis-12144	34	8	the	the	DET
fcis-12144	34	9	basis	basis	NOUN
fcis-12144	34	10	for	for	ADP
fcis-12144	34	11	further	further	ADJ
fcis-12144	34	12	research	research	NOUN
fcis-12144	34	13	.	.	PUNCT
fcis-12144	35	1	the	the	DET
fcis-12144	35	2	yolov5n	yolov5n	PROPN
fcis-12144	35	3	structure	structure	NOUN
fcis-12144	35	4	can	can	AUX
fcis-12144	35	5	be	be	AUX
fcis-12144	35	6	divided	divide	VERB
fcis-12144	35	7	into	into	ADP
fcis-12144	35	8	four	four	NUM
fcis-12144	35	9	parts	part	NOUN
fcis-12144	35	10	:	:	PUNCT
fcis-12144	35	11	input	input	NOUN
fcis-12144	35	12	,	,	PUNCT
fcis-12144	35	13	backbone	backbone	NOUN
fcis-12144	35	14	,	,	PUNCT
fcis-12144	35	15	neck	neck	NOUN
fcis-12144	35	16	,	,	PUNCT
fcis-12144	35	17	and	and	CCONJ
fcis-12144	35	18	head	head	NOUN
fcis-12144	35	19	detection	detection	NOUN
fcis-12144	35	20	.	.	PUNCT
fcis-12144	36	1	the	the	DET
fcis-12144	36	2	specific	specific	ADJ
fcis-12144	36	3	network	network	NOUN
fcis-12144	36	4	structure	structure	NOUN
fcis-12144	36	5	is	be	AUX
fcis-12144	36	6	shown	show	VERB
fcis-12144	36	7	in	in	ADP
fcis-12144	36	8	figure	figure	NOUN
fcis-12144	36	9	1	1	NUM
fcis-12144	36	10	.	.	PUNCT
fcis-12144	36	11	input	input	NOUN
fcis-12144	36	12	:	:	PUNCT
fcis-12144	36	13	mainly	mainly	ADV
fcis-12144	36	14	performs	perform	VERB
fcis-12144	36	15	mosiac	mosiac	PROPN
fcis-12144	36	16	data	datum	NOUN
fcis-12144	36	17	enhancement	enhancement	NOUN
fcis-12144	36	18	for	for	ADP
fcis-12144	36	19	images	image	NOUN
fcis-12144	36	20	.	.	PUNCT
fcis-12144	37	1	mosiac	mosiac	NOUN
fcis-12144	37	2	mainly	mainly	ADV
fcis-12144	37	3	splice	splice	VERB
fcis-12144	37	4	four	four	NUM
fcis-12144	37	5	images	image	NOUN
fcis-12144	37	6	by	by	ADP
fcis-12144	37	7	means	mean	NOUN
fcis-12144	37	8	of	of	ADP
fcis-12144	37	9	random	random	ADJ
fcis-12144	37	10	cropping	cropping	NOUN
fcis-12144	37	11	,	,	PUNCT
fcis-12144	37	12	flipping	flipping	NOUN
fcis-12144	37	13	,	,	PUNCT
fcis-12144	37	14	color	color	NOUN
fcis-12144	37	15	gamut	gamut	NOUN
fcis-12144	37	16	transformation	transformation	NOUN
fcis-12144	37	17	,	,	PUNCT
fcis-12144	37	18	etc	etc	X
fcis-12144	37	19	.	.	X
fcis-12144	37	20	,	,	PUNCT
fcis-12144	37	21	which	which	PRON
fcis-12144	37	22	not	not	PART
fcis-12144	37	23	only	only	ADV
fcis-12144	37	24	enriches	enrich	VERB
fcis-12144	37	25	the	the	DET
fcis-12144	37	26	diversity	diversity	NOUN
fcis-12144	37	27	of	of	ADP
fcis-12144	37	28	data	datum	NOUN
fcis-12144	37	29	,	,	PUNCT
fcis-12144	37	30	but	but	CCONJ
fcis-12144	37	31	also	also	ADV
fcis-12144	37	32	saves	save	VERB
fcis-12144	37	33	the	the	DET
fcis-12144	37	34	consumption	consumption	NOUN
fcis-12144	37	35	of	of	ADP
fcis-12144	37	36	gpu	gpu	NOUN
fcis-12144	37	37	video	video	NOUN
fcis-12144	37	38	memory	memory	NOUN
fcis-12144	37	39	.	.	PUNCT
fcis-12144	38	1	backbone	backbone	NOUN
fcis-12144	38	2	:	:	PUNCT
fcis-12144	38	3	it	it	PRON
fcis-12144	38	4	mainly	mainly	ADV
fcis-12144	38	5	extracts	extract	VERB
fcis-12144	38	6	features	feature	NOUN
fcis-12144	38	7	from	from	ADP
fcis-12144	38	8	input	input	NOUN
fcis-12144	38	9	images	image	NOUN
fcis-12144	38	10	and	and	CCONJ
fcis-12144	38	11	forms	form	VERB
fcis-12144	38	12	multi	multi	ADJ
fcis-12144	38	13	-	-	ADJ
fcis-12144	38	14	level	level	ADJ
fcis-12144	38	15	feature	feature	NOUN
fcis-12144	38	16	maps	map	NOUN
fcis-12144	38	17	for	for	ADP
fcis-12144	38	18	use	use	NOUN
fcis-12144	38	19	by	by	ADP
fcis-12144	38	20	later	later	ADJ
fcis-12144	38	21	networks	network	NOUN
fcis-12144	38	22	.	.	PUNCT
fcis-12144	39	1	c3	c3	PROPN
fcis-12144	39	2	module	module	NOUN
fcis-12144	39	3	with	with	ADP
fcis-12144	39	4	residual	residual	ADJ
fcis-12144	39	5	structure	structure	NOUN
fcis-12144	39	6	is	be	AUX
fcis-12144	39	7	used	use	VERB
fcis-12144	39	8	13	13	NUM
fcis-12144	39	9	to	to	PART
fcis-12144	39	10	deepen	deepen	VERB
fcis-12144	39	11	network	network	NOUN
fcis-12144	39	12	depth	depth	NOUN
fcis-12144	39	13	and	and	CCONJ
fcis-12144	39	14	improve	improve	VERB
fcis-12144	39	15	feature	feature	NOUN
fcis-12144	39	16	extraction	extraction	NOUN
fcis-12144	39	17	capability	capability	NOUN
fcis-12144	39	18	.	.	PUNCT
fcis-12144	40	1	the	the	DET
fcis-12144	40	2	specific	specific	ADJ
fcis-12144	40	3	structure	structure	NOUN
fcis-12144	40	4	is	be	AUX
fcis-12144	40	5	shown	show	VERB
fcis-12144	40	6	in	in	ADP
fcis-12144	40	7	figure	figure	NOUN
fcis-12144	40	8	2(a	2(a	NUM
fcis-12144	40	9	)	)	PUNCT
fcis-12144	40	10	.	.	PUNCT
fcis-12144	41	1	neck	neck	NOUN
fcis-12144	41	2	:	:	PUNCT
fcis-12144	41	3	multi	multi	ADJ
fcis-12144	41	4	-	-	ADJ
fcis-12144	41	5	scale	scale	ADJ
fcis-12144	41	6	feature	feature	NOUN
fcis-12144	41	7	fusion	fusion	NOUN
fcis-12144	41	8	is	be	AUX
fcis-12144	41	9	realized	realize	VERB
fcis-12144	41	10	through	through	ADP
fcis-12144	41	11	up	up	ADV
fcis-12144	41	12	-	-	PUNCT
fcis-12144	41	13	down	down	ADP
fcis-12144	41	14	sampling	sampling	NOUN
fcis-12144	41	15	of	of	ADP
fcis-12144	41	16	feature	feature	NOUN
fcis-12144	41	17	maps	map	NOUN
fcis-12144	41	18	transmitted	transmit	VERB
fcis-12144	41	19	by	by	ADP
fcis-12144	41	20	backbone	backbone	NOUN
fcis-12144	41	21	.	.	PUNCT
fcis-12144	42	1	neck	neck	NOUN
fcis-12144	42	2	mainly	mainly	ADV
fcis-12144	42	3	performs	perform	VERB
fcis-12144	42	4	multi	multi	ADJ
fcis-12144	42	5	-	-	ADJ
fcis-12144	42	6	scale	scale	ADJ
fcis-12144	42	7	feature	feature	NOUN
fcis-12144	42	8	fusion	fusion	NOUN
fcis-12144	42	9	without	without	ADP
fcis-12144	42	10	deepening	deepen	VERB
fcis-12144	42	11	the	the	DET
fcis-12144	42	12	network	network	NOUN
fcis-12144	42	13	,	,	PUNCT
fcis-12144	42	14	so	so	ADV
fcis-12144	42	15	residual	residual	ADJ
fcis-12144	42	16	structure	structure	NOUN
fcis-12144	42	17	in	in	ADP
fcis-12144	42	18	c3	c3	PROPN
fcis-12144	42	19	structure	structure	NOUN
fcis-12144	42	20	is	be	AUX
fcis-12144	42	21	removed	remove	VERB
fcis-12144	42	22	,	,	PUNCT
fcis-12144	42	23	as	as	SCONJ
fcis-12144	42	24	shown	show	VERB
fcis-12144	42	25	in	in	ADP
fcis-12144	42	26	figure	figure	NOUN
fcis-12144	42	27	2(b	2(b	NUM
fcis-12144	42	28	)	)	PUNCT
fcis-12144	42	29	.	.	PUNCT
fcis-12144	43	1	head	head	NOUN
fcis-12144	43	2	:	:	PUNCT
fcis-12144	43	3	obtains	obtain	VERB
fcis-12144	43	4	high	high	ADJ
fcis-12144	43	5	-	-	PUNCT
fcis-12144	43	6	level	level	NOUN
fcis-12144	43	7	feature	feature	NOUN
fcis-12144	43	8	information	information	NOUN
fcis-12144	43	9	from	from	ADP
fcis-12144	43	10	backbone	backbone	NOUN
fcis-12144	43	11	and	and	CCONJ
fcis-12144	43	12	neck	neck	NOUN
fcis-12144	43	13	to	to	PART
fcis-12144	43	14	predict	predict	VERB
fcis-12144	43	15	the	the	DET
fcis-12144	43	16	location	location	NOUN
fcis-12144	43	17	and	and	CCONJ
fcis-12144	43	18	category	category	NOUN
fcis-12144	43	19	of	of	ADP
fcis-12144	43	20	the	the	DET
fcis-12144	43	21	target	target	NOUN
fcis-12144	43	22	.	.	PUNCT
fcis-12144	44	1	figure	figure	NOUN
fcis-12144	44	2	1	1	NUM
fcis-12144	44	3	.	.	PUNCT
fcis-12144	45	1	yolov5n	yolov5n	PROPN
fcis-12144	45	2	network	network	NOUN
fcis-12144	45	3	structure	structure	NOUN
fcis-12144	45	4	diagram	diagram	NOUN
fcis-12144	45	5	figure	figure	NOUN
fcis-12144	45	6	2	2	NUM
fcis-12144	45	7	.	.	PUNCT
fcis-12144	46	1	c3	c3	PROPN
fcis-12144	46	2	structure	structure	PROPN
fcis-12144	46	3	diagram	diagram	PROPN
fcis-12144	46	4	3	3	NUM
fcis-12144	46	5	.	.	PUNCT
fcis-12144	46	6	attention	attention	NOUN
fcis-12144	46	7	mechanism	mechanism	NOUN
fcis-12144	46	8	convolutional	convolutional	ADJ
fcis-12144	46	9	block	block	NOUN
fcis-12144	46	10	attention	attention	NOUN
fcis-12144	46	11	module	module	NOUN
fcis-12144	46	12	(	(	PUNCT
fcis-12144	46	13	cbam	cbam	NOUN
fcis-12144	46	14	)	)	PUNCT
fcis-12144	47	1	[	[	X
fcis-12144	47	2	11	11	NUM
fcis-12144	47	3	]	]	PUNCT
fcis-12144	47	4	is	be	AUX
fcis-12144	47	5	a	a	DET
fcis-12144	47	6	lightweight	lightweight	ADJ
fcis-12144	47	7	convolutional	convolutional	ADJ
fcis-12144	47	8	block	block	NOUN
fcis-12144	47	9	attention	attention	NOUN
fcis-12144	47	10	module	module	NOUN
fcis-12144	47	11	that	that	PRON
fcis-12144	47	12	includes	include	VERB
fcis-12144	47	13	the	the	DET
fcis-12144	47	14	channel	channel	NOUN
fcis-12144	47	15	attention	attention	NOUN
fcis-12144	47	16	module	module	NOUN
fcis-12144	47	17	(	(	PUNCT
fcis-12144	47	18	cam	cam	NOUN
fcis-12144	47	19	)	)	PUNCT
fcis-12144	47	20	and	and	CCONJ
fcis-12144	47	21	spartial	spartial	ADJ
fcis-12144	47	22	attention	attention	NOUN
fcis-12144	47	23	module	module	NOUN
fcis-12144	47	24	(	(	PUNCT
fcis-12144	47	25	sam)are	sam)are	PROPN
fcis-12144	47	26	two	two	NUM
fcis-12144	47	27	submodules	submodule	NOUN
fcis-12144	47	28	.	.	PUNCT
fcis-12144	48	1	the	the	DET
fcis-12144	48	2	input	input	NOUN
fcis-12144	48	3	feature	feature	NOUN
fcis-12144	48	4	maps	map	NOUN
fcis-12144	48	5	are	be	AUX
fcis-12144	48	6	extracted	extract	VERB
fcis-12144	48	7	in	in	ADP
fcis-12144	48	8	channel	channel	NOUN
fcis-12144	48	9	dimension	dimension	NOUN
fcis-12144	48	10	and	and	CCONJ
fcis-12144	48	11	space	space	NOUN
fcis-12144	48	12	dimension	dimension	NOUN
fcis-12144	48	13	respectively	respectively	ADV
fcis-12144	48	14	and	and	CCONJ
fcis-12144	48	15	the	the	DET
fcis-12144	48	16	corresponding	correspond	VERB
fcis-12144	48	17	attention	attention	NOUN
fcis-12144	48	18	graphs	graph	NOUN
fcis-12144	48	19	are	be	AUX
fcis-12144	48	20	formed	form	VERB
fcis-12144	48	21	.	.	PUNCT
fcis-12144	49	1	then	then	ADV
fcis-12144	49	2	the	the	DET
fcis-12144	49	3	attention	attention	NOUN
fcis-12144	49	4	graphs	graph	NOUN
fcis-12144	49	5	are	be	AUX
fcis-12144	49	6	multiplied	multiply	VERB
fcis-12144	49	7	with	with	ADP
fcis-12144	49	8	the	the	DET
fcis-12144	49	9	input	input	NOUN
fcis-12144	49	10	feature	feature	NOUN
fcis-12144	49	11	maps	map	NOUN
fcis-12144	49	12	to	to	PART
fcis-12144	49	13	carry	carry	VERB
fcis-12144	49	14	out	out	ADP
fcis-12144	49	15	adaptive	adaptive	ADJ
fcis-12144	49	16	feature	feature	NOUN
fcis-12144	49	17	optimization	optimization	NOUN
fcis-12144	49	18	.	.	PUNCT
fcis-12144	50	1	the	the	DET
fcis-12144	50	2	unique	unique	ADJ
fcis-12144	50	3	structure	structure	NOUN
fcis-12144	50	4	not	not	PART
fcis-12144	50	5	only	only	ADV
fcis-12144	50	6	saves	save	VERB
fcis-12144	50	7	parameters	parameter	NOUN
fcis-12144	50	8	and	and	CCONJ
fcis-12144	50	9	computation	computation	NOUN
fcis-12144	50	10	,	,	PUNCT
fcis-12144	50	11	but	but	CCONJ
fcis-12144	50	12	also	also	ADV
fcis-12144	50	13	can	can	AUX
fcis-12144	50	14	be	be	AUX
fcis-12144	50	15	freely	freely	ADV
fcis-12144	50	16	integrated	integrate	VERB
fcis-12144	50	17	into	into	ADP
fcis-12144	50	18	the	the	DET
fcis-12144	50	19	existing	exist	VERB
fcis-12144	50	20	network	network	NOUN
fcis-12144	50	21	structure	structure	NOUN
fcis-12144	50	22	.	.	PUNCT
fcis-12144	51	1	the	the	DET
fcis-12144	51	2	specific	specific	ADJ
fcis-12144	51	3	structure	structure	NOUN
fcis-12144	51	4	is	be	AUX
fcis-12144	51	5	shown	show	VERB
fcis-12144	51	6	in	in	ADP
fcis-12144	51	7	figure	figure	NOUN
fcis-12144	51	8	3	3	NUM
fcis-12144	51	9	.	.	PUNCT
fcis-12144	51	10	figure	figure	VERB
fcis-12144	51	11	3	3	NUM
fcis-12144	51	12	.	.	PUNCT
fcis-12144	51	13	cbam	cbam	NOUN
fcis-12144	51	14	structure	structure	NOUN
fcis-12144	51	15	diagram	diagram	NOUN
fcis-12144	51	16	the	the	DET
fcis-12144	51	17	cam	cam	NOUN
fcis-12144	51	18	submodule	submodule	NOUN
fcis-12144	51	19	,	,	PUNCT
fcis-12144	51	20	as	as	SCONJ
fcis-12144	51	21	shown	show	VERB
fcis-12144	51	22	in	in	ADP
fcis-12144	51	23	figure	figure	NOUN
fcis-12144	51	24	4	4	NUM
fcis-12144	51	25	,	,	PUNCT
fcis-12144	51	26	compresses	compress	VERB
fcis-12144	51	27	the	the	DET
fcis-12144	51	28	input	input	NOUN
fcis-12144	51	29	feature	feature	NOUN
fcis-12144	51	30	map	map	NOUN
fcis-12144	51	31	in	in	ADP
fcis-12144	51	32	spatial	spatial	ADJ
fcis-12144	51	33	dimension	dimension	NOUN
fcis-12144	51	34	,	,	PUNCT
fcis-12144	51	35	then	then	ADV
fcis-12144	51	36	carries	carry	VERB
fcis-12144	51	37	out	out	ADP
fcis-12144	51	38	maximum	maximum	ADJ
fcis-12144	51	39	pooling	pooling	NOUN
fcis-12144	51	40	and	and	CCONJ
fcis-12144	51	41	average	average	ADJ
fcis-12144	51	42	pooling	pool	VERB
fcis-12144	51	43	operations	operation	NOUN
fcis-12144	51	44	respectively	respectively	ADV
fcis-12144	51	45	,	,	PUNCT
fcis-12144	51	46	then	then	ADV
fcis-12144	51	47	passes	pass	VERB
fcis-12144	51	48	it	it	PRON
fcis-12144	51	49	into	into	ADP
fcis-12144	51	50	the	the	DET
fcis-12144	51	51	shared	share	VERB
fcis-12144	51	52	full	full	ADJ
fcis-12144	51	53	connection	connection	NOUN
fcis-12144	51	54	layer	layer	NOUN
fcis-12144	51	55	to	to	PART
fcis-12144	51	56	form	form	VERB
fcis-12144	51	57	a	a	DET
fcis-12144	51	58	channel	channel	NOUN
fcis-12144	51	59	attention	attention	NOUN
fcis-12144	51	60	diagram	diagram	NOUN
fcis-12144	51	61	,	,	PUNCT
fcis-12144	51	62	and	and	CCONJ
fcis-12144	51	63	finally	finally	ADV
fcis-12144	51	64	multiplies	multiply	VERB
fcis-12144	51	65	the	the	DET
fcis-12144	51	66	feature	feature	NOUN
fcis-12144	51	67	map	map	NOUN
fcis-12144	51	68	to	to	PART
fcis-12144	51	69	highlight	highlight	VERB
fcis-12144	51	70	the	the	DET
fcis-12144	51	71	target	target	NOUN
fcis-12144	51	72	feature	feature	NOUN
fcis-12144	51	73	information	information	NOUN
fcis-12144	51	74	.	.	PUNCT
fcis-12144	52	1	the	the	DET
fcis-12144	52	2	calculation	calculation	NOUN
fcis-12144	52	3	formula	formula	NOUN
fcis-12144	52	4	is	be	AUX
fcis-12144	52	5	shown	show	VERB
fcis-12144	52	6	in	in	ADP
fcis-12144	52	7	(	(	PUNCT
fcis-12144	52	8	1	1	NUM
fcis-12144	52	9	)	)	PUNCT
fcis-12144	52	10	.	.	PUNCT
fcis-12144	53	1	as	as	SCONJ
fcis-12144	53	2	shown	show	VERB
fcis-12144	53	3	in	in	ADP
fcis-12144	53	4	figure	figure	NOUN
fcis-12144	53	5	5	5	NUM
fcis-12144	53	6	,	,	PUNCT
fcis-12144	53	7	the	the	DET
fcis-12144	53	8	sam	sam	PROPN
fcis-12144	53	9	sub	sub	PROPN
fcis-12144	53	10	mode	mode	PROPN
fcis-12144	53	11	uses	use	VERB
fcis-12144	53	12	the	the	DET
fcis-12144	53	13	channel	channel	NOUN
fcis-12144	53	14	attention	attention	NOUN
fcis-12144	53	15	map	map	NOUN
fcis-12144	53	16	as	as	ADP
fcis-12144	53	17	the	the	DET
fcis-12144	53	18	input	input	NOUN
fcis-12144	53	19	feature	feature	NOUN
fcis-12144	53	20	map	map	NOUN
fcis-12144	53	21	to	to	PART
fcis-12144	53	22	compress	compress	VERB
fcis-12144	53	23	the	the	DET
fcis-12144	53	24	channel	channel	NOUN
fcis-12144	53	25	dimension	dimension	NOUN
fcis-12144	53	26	,	,	PUNCT
fcis-12144	53	27	and	and	CCONJ
fcis-12144	53	28	then	then	ADV
fcis-12144	53	29	performs	perform	VERB
fcis-12144	53	30	maximum	maximum	ADJ
fcis-12144	53	31	pooling	pooling	NOUN
fcis-12144	53	32	and	and	CCONJ
fcis-12144	53	33	average	average	ADJ
fcis-12144	53	34	pooling	pooling	NOUN
fcis-12144	53	35	in	in	ADP
fcis-12144	53	36	turn	turn	NOUN
fcis-12144	53	37	.	.	PUNCT
fcis-12144	54	1	then	then	ADV
fcis-12144	54	2	the	the	DET
fcis-12144	54	3	obtained	obtain	VERB
fcis-12144	54	4	feature	feature	NOUN
fcis-12144	54	5	map	map	NOUN
fcis-12144	54	6	is	be	AUX
fcis-12144	54	7	splicing	splicing	NOUN
fcis-12144	54	8	channels	channel	NOUN
fcis-12144	54	9	,	,	PUNCT
fcis-12144	54	10	and	and	CCONJ
fcis-12144	54	11	then	then	ADV
fcis-12144	54	12	7x7	7x7	NUM
fcis-12144	54	13	convolution	convolution	NOUN
fcis-12144	54	14	operation	operation	NOUN
fcis-12144	54	15	is	be	AUX
fcis-12144	54	16	performed	perform	VERB
fcis-12144	54	17	to	to	PART
fcis-12144	54	18	form	form	VERB
fcis-12144	54	19	the	the	DET
fcis-12144	54	20	spatial	spatial	ADJ
fcis-12144	54	21	attention	attention	NOUN
fcis-12144	54	22	map	map	NOUN
fcis-12144	54	23	,	,	PUNCT
fcis-12144	54	24	and	and	CCONJ
fcis-12144	54	25	finally	finally	ADV
fcis-12144	54	26	the	the	DET
fcis-12144	54	27	feature	feature	NOUN
fcis-12144	54	28	map	map	NOUN
fcis-12144	54	29	is	be	AUX
fcis-12144	54	30	multiplied	multiply	VERB
fcis-12144	54	31	to	to	PART
fcis-12144	54	32	highlight	highlight	VERB
fcis-12144	54	33	the	the	DET
fcis-12144	54	34	location	location	NOUN
fcis-12144	54	35	information	information	NOUN
fcis-12144	54	36	of	of	ADP
fcis-12144	54	37	the	the	DET
fcis-12144	54	38	target	target	NOUN
fcis-12144	54	39	.	.	PUNCT
fcis-12144	55	1	the	the	DET
fcis-12144	55	2	calculation	calculation	NOUN
fcis-12144	55	3	formula	formula	NOUN
fcis-12144	55	4	is	be	AUX
fcis-12144	55	5	shown	show	VERB
fcis-12144	55	6	in	in	ADP
fcis-12144	55	7	(	(	PUNCT
fcis-12144	55	8	2	2	NUM
fcis-12144	55	9	)	)	PUNCT
fcis-12144	55	10	.	.	PUNCT
fcis-12144	55	11	)	)	PUNCT
fcis-12144	55	12	)	)	PUNCT
fcis-12144	55	13	)	)	PUNCT
fcis-12144	56	1	(	(	PUNCT
fcis-12144	56	2	(	(	PUNCT
fcis-12144	56	3	)	)	PUNCT
fcis-12144	56	4	)	)	PUNCT
fcis-12144	56	5	(	(	PUNCT
fcis-12144	56	6	vg	vg	X
fcis-12144	56	7	(	(	PUNCT
fcis-12144	56	8	(	(	PUNCT
fcis-12144	56	9	)	)	PUNCT
fcis-12144	56	10	(	(	PUNCT
fcis-12144	56	11	fmaxpoolmlpfpoolamlpfmc	fmaxpoolmlpfpoolamlpfmc	NOUN
fcis-12144	56	12			NOUN
fcis-12144	56	13	(	(	PUNCT
fcis-12144	56	14	1	1	NUM
fcis-12144	56	15	)	)	PUNCT
fcis-12144	56	16	)	)	PUNCT
fcis-12144	57	1	]	]	PUNCT
fcis-12144	57	2	)	)	PUNCT
fcis-12144	57	3	(	(	PUNCT
fcis-12144	57	4	)	)	PUNCT
fcis-12144	57	5	;	;	PUNCT
fcis-12144	57	6	(	(	PUNCT
fcis-12144	57	7	(	(	PUNCT
fcis-12144	57	8	[	[	X
fcis-12144	57	9	(	(	PUNCT
fcis-12144	57	10	)	)	PUNCT
fcis-12144	57	11	(	(	PUNCT
fcis-12144	57	12	''	''	PUNCT
fcis-12144	57	13	s	s	AUX
fcis-12144	57	14	fmaxpoolfavgpoolffm	fmaxpoolfavgpoolffm	NOUN
fcis-12144	57	15			NOUN
fcis-12144	57	16	(	(	PUNCT
fcis-12144	57	17	2	2	NUM
fcis-12144	57	18	)	)	PUNCT
fcis-12144	57	19	where	where	SCONJ
fcis-12144	57	20	,	,	PUNCT
fcis-12144	57	21	f	f	PROPN
fcis-12144	57	22	is	be	AUX
fcis-12144	57	23	the	the	DET
fcis-12144	57	24	input	input	NOUN
fcis-12144	57	25	feature	feature	NOUN
fcis-12144	57	26	map	map	NOUN
fcis-12144	57	27	,	,	PUNCT
fcis-12144	57	28	)	)	PUNCT
fcis-12144	57	29	(	(	PUNCT
fcis-12144	57	30	fmc	fmc	PROPN
fcis-12144	57	31	is	be	AUX
fcis-12144	57	32	the	the	DET
fcis-12144	57	33	channel	channel	NOUN
fcis-12144	57	34	14	14	NUM
fcis-12144	57	35	attention	attention	NOUN
fcis-12144	57	36	mechanism	mechanism	NOUN
fcis-12144	57	37	,	,	PUNCT
fcis-12144	57	38	)	)	PUNCT
fcis-12144	57	39	(	(	PUNCT
fcis-12144	57	40	'	'	PUNCT
fcis-12144	57	41	fms	fms	PROPN
fcis-12144	57	42	is	be	AUX
fcis-12144	57	43	the	the	DET
fcis-12144	57	44	spatial	spatial	ADJ
fcis-12144	57	45	attention	attention	NOUN
fcis-12144	57	46	mechanism	mechanism	NOUN
fcis-12144	57	47	,	,	PUNCT
fcis-12144	57	48	σ	σ	PROPN
fcis-12144	57	49	is	be	AUX
fcis-12144	57	50	the	the	DET
fcis-12144	57	51	sigmoid	sigmoid	NOUN
fcis-12144	57	52	function	function	NOUN
fcis-12144	57	53	,	,	PUNCT
fcis-12144	57	54	mlp	mlp	PROPN
fcis-12144	57	55	is	be	AUX
fcis-12144	57	56	the	the	DET
fcis-12144	57	57	multi	multi	ADJ
fcis-12144	57	58	-	-	ADJ
fcis-12144	57	59	layer	layer	ADJ
fcis-12144	57	60	perceptron	perceptron	PROPN
fcis-12144	57	61	,	,	PUNCT
fcis-12144	57	62	avgpool	avgpool	PROPN
fcis-12144	57	63	is	be	AUX
fcis-12144	57	64	the	the	DET
fcis-12144	57	65	mean	mean	ADJ
fcis-12144	57	66	pooling	pooling	NOUN
fcis-12144	57	67	,	,	PUNCT
fcis-12144	57	68	poolmax	poolmax	PROPN
fcis-12144	57	69	is	be	AUX
fcis-12144	57	70	the	the	DET
fcis-12144	57	71	maximum	maximum	ADJ
fcis-12144	57	72	pooling	pooling	NOUN
fcis-12144	57	73	,	,	PUNCT
fcis-12144	57	74	f	f	PROPN
fcis-12144	57	75	is	be	AUX
fcis-12144	57	76	the	the	DET
fcis-12144	57	77	7x7	7x7	NUM
fcis-12144	57	78	convolution	convolution	NOUN
fcis-12144	57	79	operation	operation	NOUN
fcis-12144	57	80	.	.	PUNCT
fcis-12144	58	1	figure	figure	NOUN
fcis-12144	58	2	4	4	NUM
fcis-12144	58	3	.	.	PUNCT
fcis-12144	58	4	cam	cam	VERB
fcis-12144	58	5	structure	structure	NOUN
fcis-12144	58	6	diagram	diagram	NOUN
fcis-12144	58	7	figure	figure	NOUN
fcis-12144	58	8	5	5	NUM
fcis-12144	58	9	.	.	PUNCT
fcis-12144	59	1	sam	sam	PROPN
fcis-12144	59	2	structure	structure	PROPN
fcis-12144	59	3	diagram	diagram	NOUN
fcis-12144	59	4	due	due	ADP
fcis-12144	59	5	to	to	ADP
fcis-12144	59	6	the	the	DET
fcis-12144	59	7	lack	lack	NOUN
fcis-12144	59	8	of	of	ADP
fcis-12144	59	9	feature	feature	NOUN
fcis-12144	59	10	information	information	NOUN
fcis-12144	59	11	contained	contain	VERB
fcis-12144	59	12	in	in	ADP
fcis-12144	59	13	smallsize	smallsize	ADJ
fcis-12144	59	14	targets	target	NOUN
fcis-12144	59	15	and	and	CCONJ
fcis-12144	59	16	the	the	DET
fcis-12144	59	17	high	high	ADJ
fcis-12144	59	18	background	background	NOUN
fcis-12144	59	19	complexity	complexity	NOUN
fcis-12144	59	20	in	in	ADP
fcis-12144	59	21	remote	remote	ADJ
fcis-12144	59	22	sensing	sensing	NOUN
fcis-12144	59	23	images	image	NOUN
fcis-12144	59	24	,	,	PUNCT
fcis-12144	59	25	the	the	DET
fcis-12144	59	26	feature	feature	NOUN
fcis-12144	59	27	information	information	NOUN
fcis-12144	59	28	of	of	ADP
fcis-12144	59	29	small	small	ADJ
fcis-12144	59	30	-	-	PUNCT
fcis-12144	59	31	size	size	NOUN
fcis-12144	59	32	remote	remote	ADJ
fcis-12144	59	33	sensing	sense	VERB
fcis-12144	59	34	targets	target	NOUN
fcis-12144	59	35	is	be	AUX
fcis-12144	59	36	not	not	PART
fcis-12144	59	37	only	only	ADV
fcis-12144	59	38	small	small	ADJ
fcis-12144	59	39	but	but	CCONJ
fcis-12144	59	40	also	also	ADV
fcis-12144	59	41	not	not	PART
fcis-12144	59	42	obvious	obvious	ADJ
fcis-12144	59	43	,	,	PUNCT
fcis-12144	59	44	which	which	PRON
fcis-12144	59	45	leads	lead	VERB
fcis-12144	59	46	to	to	ADP
fcis-12144	59	47	the	the	DET
fcis-12144	59	48	small	small	ADJ
fcis-12144	59	49	feature	feature	NOUN
fcis-12144	59	50	information	information	NOUN
fcis-12144	59	51	presented	present	VERB
fcis-12144	59	52	in	in	ADP
fcis-12144	59	53	the	the	DET
fcis-12144	59	54	feature	feature	NOUN
fcis-12144	59	55	map	map	NOUN
fcis-12144	59	56	formed	form	VERB
fcis-12144	59	57	by	by	ADP
fcis-12144	59	58	the	the	DET
fcis-12144	59	59	small	small	ADJ
fcis-12144	59	60	-	-	PUNCT
fcis-12144	59	61	size	size	NOUN
fcis-12144	59	62	remote	remote	ADJ
fcis-12144	59	63	sensing	sense	VERB
fcis-12144	59	64	targets	target	NOUN
fcis-12144	59	65	after	after	ADP
fcis-12144	59	66	multiple	multiple	ADJ
fcis-12144	59	67	downsampling	downsampling	NOUN
fcis-12144	59	68	.	.	PUNCT
fcis-12144	60	1	therefore	therefore	ADV
fcis-12144	60	2	,	,	PUNCT
fcis-12144	60	3	this	this	DET
fcis-12144	60	4	paper	paper	NOUN
fcis-12144	60	5	uses	use	VERB
fcis-12144	60	6	cbam	cbam	NOUN
fcis-12144	60	7	,	,	PUNCT
fcis-12144	60	8	an	an	DET
fcis-12144	60	9	attention	attention	NOUN
fcis-12144	60	10	module	module	NOUN
fcis-12144	60	11	that	that	PRON
fcis-12144	60	12	can	can	AUX
fcis-12144	60	13	generate	generate	VERB
fcis-12144	60	14	attention	attention	NOUN
fcis-12144	60	15	feature	feature	NOUN
fcis-12144	60	16	maps	map	NOUN
fcis-12144	60	17	in	in	ADP
fcis-12144	60	18	channel	channel	NOUN
fcis-12144	60	19	dimension	dimension	NOUN
fcis-12144	60	20	and	and	CCONJ
fcis-12144	60	21	spatial	spatial	ADJ
fcis-12144	60	22	dimension	dimension	NOUN
fcis-12144	60	23	,	,	PUNCT
fcis-12144	60	24	to	to	PART
fcis-12144	60	25	add	add	VERB
fcis-12144	60	26	to	to	ADP
fcis-12144	60	27	the	the	DET
fcis-12144	60	28	original	original	ADJ
fcis-12144	60	29	network	network	NOUN
fcis-12144	60	30	structure	structure	NOUN
fcis-12144	60	31	to	to	PART
fcis-12144	60	32	improve	improve	VERB
fcis-12144	60	33	the	the	DET
fcis-12144	60	34	information	information	NOUN
fcis-12144	60	35	content	content	NOUN
fcis-12144	60	36	of	of	ADP
fcis-12144	60	37	small	small	ADJ
fcis-12144	60	38	-	-	PUNCT
fcis-12144	60	39	size	size	NOUN
fcis-12144	60	40	targets	target	NOUN
fcis-12144	60	41	on	on	ADP
fcis-12144	60	42	the	the	DET
fcis-12144	60	43	feature	feature	NOUN
fcis-12144	60	44	maps	map	NOUN
fcis-12144	60	45	,	,	PUNCT
fcis-12144	60	46	and	and	CCONJ
fcis-12144	60	47	then	then	ADV
fcis-12144	60	48	solve	solve	VERB
fcis-12144	60	49	the	the	DET
fcis-12144	60	50	impact	impact	NOUN
fcis-12144	60	51	of	of	ADP
fcis-12144	60	52	feature	feature	NOUN
fcis-12144	60	53	maps	map	NOUN
fcis-12144	60	54	containing	contain	VERB
fcis-12144	60	55	less	less	ADJ
fcis-12144	60	56	target	target	NOUN
fcis-12144	60	57	features	feature	NOUN
fcis-12144	60	58	on	on	ADP
fcis-12144	60	59	multi	multi	ADJ
fcis-12144	60	60	-	-	ADJ
fcis-12144	60	61	scale	scale	ADJ
fcis-12144	60	62	feature	feature	NOUN
fcis-12144	60	63	fusion	fusion	NOUN
fcis-12144	60	64	,	,	PUNCT
fcis-12144	60	65	classification	classification	NOUN
fcis-12144	60	66	and	and	CCONJ
fcis-12144	60	67	regression	regression	NOUN
fcis-12144	60	68	operations	operation	NOUN
fcis-12144	60	69	.	.	PUNCT
fcis-12144	61	1	the	the	DET
fcis-12144	61	2	feature	feature	NOUN
fcis-12144	61	3	extraction	extraction	NOUN
fcis-12144	61	4	task	task	NOUN
fcis-12144	61	5	is	be	AUX
fcis-12144	61	6	mainly	mainly	ADV
fcis-12144	61	7	realized	realize	VERB
fcis-12144	61	8	through	through	ADP
fcis-12144	61	9	the	the	DET
fcis-12144	61	10	c3	c3	PROPN
fcis-12144	61	11	module	module	NOUN
fcis-12144	61	12	.	.	PUNCT
fcis-12144	62	1	therefore	therefore	ADV
fcis-12144	62	2	,	,	PUNCT
fcis-12144	62	3	the	the	DET
fcis-12144	62	4	convolutional	convolutional	ADJ
fcis-12144	62	5	attention	attention	NOUN
fcis-12144	62	6	cbam	cbam	NOUN
fcis-12144	62	7	structure	structure	NOUN
fcis-12144	62	8	is	be	AUX
fcis-12144	62	9	introduced	introduce	VERB
fcis-12144	62	10	into	into	ADP
fcis-12144	62	11	the	the	DET
fcis-12144	62	12	c3	c3	PROPN
fcis-12144	62	13	module	module	NOUN
fcis-12144	62	14	to	to	PART
fcis-12144	62	15	enhance	enhance	VERB
fcis-12144	62	16	the	the	DET
fcis-12144	62	17	feature	feature	NOUN
fcis-12144	62	18	extraction	extraction	NOUN
fcis-12144	62	19	capability	capability	NOUN
fcis-12144	62	20	and	and	CCONJ
fcis-12144	62	21	improve	improve	VERB
fcis-12144	62	22	the	the	DET
fcis-12144	62	23	problem	problem	NOUN
fcis-12144	62	24	of	of	ADP
fcis-12144	62	25	small	small	ADJ
fcis-12144	62	26	target	target	NOUN
fcis-12144	62	27	feature	feature	NOUN
fcis-12144	62	28	maps	map	NOUN
fcis-12144	62	29	containing	contain	VERB
fcis-12144	62	30	less	less	ADJ
fcis-12144	62	31	information	information	NOUN
fcis-12144	62	32	.	.	PUNCT
fcis-12144	63	1	the	the	DET
fcis-12144	63	2	improved	improved	ADJ
fcis-12144	63	3	module	module	NOUN
fcis-12144	63	4	is	be	AUX
fcis-12144	63	5	recorded	record	VERB
fcis-12144	63	6	as	as	ADP
fcis-12144	63	7	c3cbam	c3cbam	PROPN
fcis-12144	63	8	,	,	PUNCT
fcis-12144	63	9	and	and	CCONJ
fcis-12144	63	10	the	the	DET
fcis-12144	63	11	specific	specific	ADJ
fcis-12144	63	12	structure	structure	NOUN
fcis-12144	63	13	is	be	AUX
fcis-12144	63	14	shown	show	VERB
fcis-12144	63	15	in	in	ADP
fcis-12144	63	16	figure	figure	NOUN
fcis-12144	63	17	6	6	NUM
fcis-12144	63	18	.	.	PUNCT
fcis-12144	63	19	figure	figure	NOUN
fcis-12144	63	20	6	6	NUM
fcis-12144	63	21	.	.	PUNCT
fcis-12144	64	1	c3cbam	c3cbam	PROPN
fcis-12144	64	2	structure	structure	PROPN
fcis-12144	64	3	diagram	diagram	PROPN
fcis-12144	64	4	4	4	NUM
fcis-12144	64	5	.	.	PUNCT
fcis-12144	65	1	experimental	experimental	ADJ
fcis-12144	65	2	analysis	analysis	NOUN
fcis-12144	65	3	4.1	4.1	NUM
fcis-12144	65	4	.	.	PUNCT
fcis-12144	66	1	introduction	introduction	NOUN
fcis-12144	66	2	to	to	ADP
fcis-12144	66	3	data	datum	NOUN
fcis-12144	66	4	sets	set	VERB
fcis-12144	66	5	the	the	DET
fcis-12144	66	6	data	datum	NOUN
fcis-12144	66	7	used	use	VERB
fcis-12144	66	8	for	for	ADP
fcis-12144	66	9	model	model	NOUN
fcis-12144	66	10	training	training	NOUN
fcis-12144	66	11	in	in	ADP
fcis-12144	66	12	this	this	DET
fcis-12144	66	13	paper	paper	NOUN
fcis-12144	66	14	is	be	AUX
fcis-12144	66	15	composed	compose	VERB
fcis-12144	66	16	of	of	ADP
fcis-12144	66	17	rsod	rsod	ADJ
fcis-12144	66	18	data	datum	NOUN
fcis-12144	66	19	set	set	VERB
fcis-12144	66	20	and	and	CCONJ
fcis-12144	66	21	aircraft	aircraft	NOUN
fcis-12144	66	22	data	datum	NOUN
fcis-12144	66	23	from	from	ADP
fcis-12144	66	24	nwpu	nwpu	ADJ
fcis-12144	66	25	vhr-10	vhr-10	DET
fcis-12144	66	26	data	datum	NOUN
fcis-12144	66	27	set	set	VERB
fcis-12144	66	28	,	,	PUNCT
fcis-12144	66	29	with	with	ADP
fcis-12144	66	30	a	a	DET
fcis-12144	66	31	total	total	NOUN
fcis-12144	66	32	of	of	ADP
fcis-12144	66	33	526	526	NUM
fcis-12144	66	34	pieces	piece	NOUN
fcis-12144	66	35	,	,	PUNCT
fcis-12144	66	36	420	420	NUM
fcis-12144	66	37	pieces	piece	NOUN
fcis-12144	66	38	of	of	ADP
fcis-12144	66	39	training	training	NOUN
fcis-12144	66	40	set	set	NOUN
fcis-12144	66	41	,	,	PUNCT
fcis-12144	66	42	106	106	NUM
fcis-12144	66	43	pieces	piece	NOUN
fcis-12144	66	44	of	of	ADP
fcis-12144	66	45	verification	verification	NOUN
fcis-12144	66	46	set	set	NOUN
fcis-12144	66	47	,	,	PUNCT
fcis-12144	66	48	and	and	CCONJ
fcis-12144	66	49	only	only	ADV
fcis-12144	66	50	one	one	NUM
fcis-12144	66	51	example	example	NOUN
fcis-12144	66	52	aircraft	aircraft	NOUN
fcis-12144	66	53	.	.	PUNCT
fcis-12144	67	1	the	the	DET
fcis-12144	67	2	length	length	NOUN
fcis-12144	67	3	and	and	CCONJ
fcis-12144	67	4	width	width	ADJ
fcis-12144	67	5	distribution	distribution	NOUN
fcis-12144	67	6	of	of	ADP
fcis-12144	67	7	the	the	DET
fcis-12144	67	8	training	training	NOUN
fcis-12144	67	9	set	set	NOUN
fcis-12144	67	10	is	be	AUX
fcis-12144	67	11	shown	show	VERB
fcis-12144	67	12	in	in	ADP
fcis-12144	67	13	figure	figure	NOUN
fcis-12144	67	14	7	7	NUM
fcis-12144	67	15	.	.	PUNCT
fcis-12144	68	1	it	it	PRON
fcis-12144	68	2	can	can	AUX
fcis-12144	68	3	be	be	AUX
fcis-12144	68	4	seen	see	VERB
fcis-12144	68	5	that	that	SCONJ
fcis-12144	68	6	the	the	DET
fcis-12144	68	7	data	data	NOUN
fcis-12144	68	8	points	point	NOUN
fcis-12144	68	9	are	be	AUX
fcis-12144	68	10	mainly	mainly	ADV
fcis-12144	68	11	concentrated	concentrate	VERB
fcis-12144	68	12	in	in	ADP
fcis-12144	68	13	the	the	DET
fcis-12144	68	14	lower	low	ADJ
fcis-12144	68	15	left	left	ADJ
fcis-12144	68	16	corner	corner	NOUN
fcis-12144	68	17	,	,	PUNCT
fcis-12144	68	18	indicating	indicate	VERB
fcis-12144	68	19	that	that	SCONJ
fcis-12144	68	20	the	the	DET
fcis-12144	68	21	target	target	NOUN
fcis-12144	68	22	size	size	NOUN
fcis-12144	68	23	is	be	AUX
fcis-12144	68	24	relatively	relatively	ADV
fcis-12144	68	25	small	small	ADJ
fcis-12144	68	26	.	.	PUNCT
fcis-12144	69	1	figure	figure	NOUN
fcis-12144	69	2	7	7	NUM
fcis-12144	69	3	.	.	NOUN
fcis-12144	69	4	length	length	NOUN
fcis-12144	69	5	and	and	CCONJ
fcis-12144	69	6	width	width	ADJ
fcis-12144	69	7	distribution	distribution	NOUN
fcis-12144	69	8	of	of	ADP
fcis-12144	69	9	training	training	NOUN
fcis-12144	69	10	set	set	VERB
fcis-12144	69	11	4.2	4.2	NUM
fcis-12144	69	12	.	.	PUNCT
fcis-12144	70	1	experimental	experimental	ADJ
fcis-12144	70	2	environment	environment	NOUN
fcis-12144	70	3	and	and	CCONJ
fcis-12144	70	4	training	training	NOUN
fcis-12144	70	5	parameters	parameter	NOUN
fcis-12144	70	6	the	the	DET
fcis-12144	70	7	experimental	experimental	ADJ
fcis-12144	70	8	environment	environment	NOUN
fcis-12144	70	9	of	of	ADP
fcis-12144	70	10	this	this	DET
fcis-12144	70	11	paper	paper	NOUN
fcis-12144	70	12	is	be	AUX
fcis-12144	70	13	shown	show	VERB
fcis-12144	70	14	in	in	ADP
fcis-12144	70	15	table	table	NOUN
fcis-12144	70	16	1	1	NUM
fcis-12144	70	17	:	:	PUNCT
fcis-12144	70	18	table	table	NOUN
fcis-12144	70	19	1	1	NUM
fcis-12144	70	20	.	.	PUNCT
fcis-12144	70	21	experimental	experimental	ADJ
fcis-12144	70	22	environment	environment	NOUN
fcis-12144	70	23	name	name	NOUN
fcis-12144	70	24	related	relate	VERB
fcis-12144	70	25	configuration	configuration	NOUN
fcis-12144	70	26	cpu	cpu	NOUN
fcis-12144	70	27	intel(r	intel(r	NOUN
fcis-12144	70	28	)	)	PUNCT
fcis-12144	70	29	core	core	NOUN
fcis-12144	70	30	(	(	PUNCT
fcis-12144	70	31	tm	tm	NOUN
fcis-12144	70	32	)	)	PUNCT
fcis-12144	70	33	i5	i5	PROPN
fcis-12144	70	34	-	-	PUNCT
fcis-12144	70	35	8300h	8300h	NUM
fcis-12144	70	36	cpu	cpu	NOUN
fcis-12144	70	37	@	@	ADP
fcis-12144	70	38	2.30ghz	2.30ghz	NUM
fcis-12144	70	39	2.30	2.30	NUM
fcis-12144	70	40	ghz	ghz	NOUN
fcis-12144	70	41	internal	internal	ADJ
fcis-12144	70	42	memory	memory	NOUN
fcis-12144	70	43	12	12	NUM
fcis-12144	70	44	gb	gb	PROPN
fcis-12144	70	45	gpu	gpu	PROPN
fcis-12144	70	46	nividia	nividia	PROPN
fcis-12144	70	47	geforce	geforce	PROPN
fcis-12144	70	48	gtx	gtx	PROPN
fcis-12144	70	49	1050	1050	NUM
fcis-12144	70	50	cuda	cuda	NOUN
fcis-12144	70	51	/	/	SYM
fcis-12144	70	52	cudnn	cudnn	NOUN
fcis-12144	70	53	11.0/8.1.5	11.0/8.1.5	NUM
fcis-12144	70	54	operating	operating	NOUN
fcis-12144	70	55	system	system	NOUN
fcis-12144	70	56	windows	window	VERB
fcis-12144	70	57	11	11	NUM
fcis-12144	70	58	(	(	PUNCT
fcis-12144	70	59	64	64	NUM
fcis-12144	70	60	-	-	PUNCT
fcis-12144	70	61	bit	bit	NOUN
fcis-12144	70	62	)	)	PUNCT
fcis-12144	70	63	python	python	PROPN
fcis-12144	70	64	/	/	SYM
fcis-12144	70	65	pytorch	pytorch	NOUN
fcis-12144	71	1	3.8/1.8.0	3.8/1.8.0	INTJ
fcis-12144	71	2	the	the	DET
fcis-12144	71	3	training	training	NOUN
fcis-12144	71	4	parameters	parameter	NOUN
fcis-12144	71	5	of	of	ADP
fcis-12144	71	6	this	this	DET
fcis-12144	71	7	algorithm	algorithm	NOUN
fcis-12144	71	8	are	be	AUX
fcis-12144	71	9	shown	show	VERB
fcis-12144	71	10	in	in	ADP
fcis-12144	71	11	table	table	NOUN
fcis-12144	71	12	2	2	NUM
fcis-12144	71	13	:	:	PUNCT
fcis-12144	71	14	table	table	NOUN
fcis-12144	71	15	2	2	NUM
fcis-12144	71	16	.	.	PUNCT
fcis-12144	71	17	training	training	NOUN
fcis-12144	71	18	parameters	parameter	NOUN
fcis-12144	71	19	name	name	VERB
fcis-12144	71	20	numerical	numerical	ADJ
fcis-12144	71	21	value	value	NOUN
fcis-12144	71	22	training	training	NOUN
fcis-12144	71	23	picture	picture	NOUN
fcis-12144	71	24	size	size	NOUN
fcis-12144	71	25	(	(	PUNCT
fcis-12144	71	26	imgsz	imgsz	NOUN
fcis-12144	71	27	)	)	PUNCT
fcis-12144	72	1	640×640	640×640	NUM
fcis-12144	72	2	batch	batch	NOUN
fcis-12144	72	3	-	-	PUNCT
fcis-12144	72	4	size	size	NOUN
fcis-12144	72	5	8	8	NUM
fcis-12144	72	6	training	training	NOUN
fcis-12144	72	7	iterations	iteration	NOUN
fcis-12144	72	8	(	(	PUNCT
fcis-12144	72	9	epochs	epoch	NOUN
fcis-12144	72	10	)	)	PUNCT
fcis-12144	72	11	200	200	NUM
fcis-12144	72	12	initial	initial	ADJ
fcis-12144	72	13	learning	learning	NOUN
fcis-12144	72	14	rate	rate	NOUN
fcis-12144	72	15	(	(	PUNCT
fcis-12144	72	16	lr0	lr0	PROPN
fcis-12144	72	17	)	)	PUNCT
fcis-12144	72	18	0.01	0.01	NUM
fcis-12144	72	19	cycle	cycle	NOUN
fcis-12144	72	20	learning	learning	NOUN
fcis-12144	72	21	rate	rate	NOUN
fcis-12144	72	22	(	(	PUNCT
fcis-12144	72	23	lrf	lrf	NOUN
fcis-12144	72	24	)	)	PUNCT
fcis-12144	72	25	0.01	0.01	NUM
fcis-12144	72	26	optimizer	optimizer	NOUN
fcis-12144	72	27	sgd	sgd	NOUN
fcis-12144	72	28	momentum	momentum	NOUN
fcis-12144	72	29	0.937	0.937	NUM
fcis-12144	72	30	weight	weight	NOUN
fcis-12144	72	31	attenuation	attenuation	NOUN
fcis-12144	72	32	coefficient	coefficient	NOUN
fcis-12144	72	33	0.0005	0.0005	NUM
fcis-12144	72	34	4.3	4.3	NUM
fcis-12144	72	35	.	.	PUNCT
fcis-12144	72	36	evaluation	evaluation	NOUN
fcis-12144	72	37	index	index	NOUN
fcis-12144	72	38	in	in	ADP
fcis-12144	72	39	this	this	DET
fcis-12144	72	40	paper	paper	NOUN
fcis-12144	72	41	,	,	PUNCT
fcis-12144	72	42	the	the	DET
fcis-12144	72	43	average	average	ADJ
fcis-12144	72	44	precision	precision	NOUN
fcis-12144	72	45	mean	mean	NOUN
fcis-12144	72	46	(	(	PUNCT
fcis-12144	72	47	map	map	NOUN
fcis-12144	72	48	)	)	PUNCT
fcis-12144	72	49	,	,	PUNCT
fcis-12144	72	50	parameters	parameter	NOUN
fcis-12144	72	51	(	(	PUNCT
fcis-12144	72	52	params	param	NOUN
fcis-12144	72	53	)	)	PUNCT
fcis-12144	72	54	and	and	CCONJ
fcis-12144	72	55	floating	float	VERB
fcis-12144	72	56	-	-	PUNCT
fcis-12144	72	57	point	point	NOUN
fcis-12144	72	58	operations	operation	NOUN
fcis-12144	72	59	(	(	PUNCT
fcis-12144	72	60	flops	flop	NOUN
fcis-12144	72	61	)	)	PUNCT
fcis-12144	72	62	are	be	AUX
fcis-12144	72	63	used	use	VERB
fcis-12144	72	64	to	to	PART
fcis-12144	72	65	evaluate	evaluate	VERB
fcis-12144	72	66	the	the	DET
fcis-12144	72	67	performance	performance	NOUN
fcis-12144	72	68	of	of	ADP
fcis-12144	72	69	the	the	DET
fcis-12144	72	70	model	model	NOUN
fcis-12144	72	71	.	.	PUNCT
fcis-12144	73	1	map	map	NOUN
fcis-12144	73	2	represents	represent	VERB
fcis-12144	73	3	the	the	DET
fcis-12144	73	4	performance	performance	NOUN
fcis-12144	73	5	measure	measure	NOUN
fcis-12144	73	6	of	of	ADP
fcis-12144	73	7	the	the	DET
fcis-12144	73	8	target	target	NOUN
fcis-12144	73	9	location	location	NOUN
fcis-12144	73	10	and	and	CCONJ
fcis-12144	73	11	category	category	NOUN
fcis-12144	73	12	predicted	predict	VERB
fcis-12144	73	13	by	by	ADP
fcis-12144	73	14	the	the	DET
fcis-12144	73	15	model	model	NOUN
fcis-12144	73	16	,	,	PUNCT
fcis-12144	73	17	where	where	SCONJ
fcis-12144	73	18	map_0.5	map_0.5	NOUN
fcis-12144	73	19	represents	represent	VERB
fcis-12144	73	20	the	the	DET
fcis-12144	73	21	mean	mean	ADJ
fcis-12144	73	22	accuracy	accuracy	NOUN
fcis-12144	73	23	when	when	SCONJ
fcis-12144	73	24	the	the	DET
fcis-12144	73	25	loss	loss	NOUN
fcis-12144	73	26	function	function	NOUN
fcis-12144	73	27	threshold	threshold	NOUN
fcis-12144	73	28	is	be	AUX
fcis-12144	73	29	0.5	0.5	NUM
fcis-12144	73	30	.	.	PUNCT
fcis-12144	74	1	params	param	NOUN
fcis-12144	74	2	represents	represent	VERB
fcis-12144	74	3	the	the	DET
fcis-12144	74	4	number	number	NOUN
fcis-12144	74	5	of	of	ADP
fcis-12144	74	6	parameters	parameter	NOUN
fcis-12144	74	7	in	in	ADP
fcis-12144	74	8	the	the	DET
fcis-12144	74	9	module	module	NOUN
fcis-12144	74	10	training	training	NOUN
fcis-12144	74	11	process	process	NOUN
fcis-12144	74	12	,	,	PUNCT
fcis-12144	74	13	which	which	PRON
fcis-12144	74	14	is	be	AUX
fcis-12144	74	15	used	use	VERB
fcis-12144	74	16	to	to	PART
fcis-12144	74	17	measure	measure	VERB
fcis-12144	74	18	the	the	DET
fcis-12144	74	19	complexity	complexity	NOUN
fcis-12144	74	20	of	of	ADP
fcis-12144	74	21	the	the	DET
fcis-12144	74	22	model	model	NOUN
fcis-12144	74	23	.	.	PUNCT
fcis-12144	75	1	flops	flop	NOUN
fcis-12144	75	2	represent	represent	VERB
fcis-12144	75	3	the	the	DET
fcis-12144	75	4	number	number	NOUN
fcis-12144	75	5	of	of	ADP
fcis-12144	75	6	floating	float	VERB
fcis-12144	75	7	-	-	PUNCT
fcis-12144	75	8	point	point	NOUN
fcis-12144	75	9	operations	operation	NOUN
fcis-12144	75	10	performed	perform	VERB
fcis-12144	75	11	in	in	ADP
fcis-12144	75	12	a	a	DET
fcis-12144	75	13	model	model	NOUN
fcis-12144	75	14	network	network	NOUN
fcis-12144	75	15	training	training	NOUN
fcis-12144	75	16	period	period	NOUN
fcis-12144	75	17	,	,	PUNCT
fcis-12144	75	18	which	which	PRON
fcis-12144	75	19	is	be	AUX
fcis-12144	75	20	used	use	VERB
fcis-12144	75	21	to	to	PART
fcis-12144	75	22	measure	measure	VERB
fcis-12144	75	23	the	the	DET
fcis-12144	75	24	computational	computational	ADJ
fcis-12144	75	25	complexity	complexity	NOUN
fcis-12144	75	26	of	of	ADP
fcis-12144	75	27	the	the	DET
fcis-12144	75	28	model	model	NOUN
fcis-12144	75	29	.	.	PUNCT
fcis-12144	76	1	gflops	gflop	NOUN
fcis-12144	76	2	represents	represent	VERB
fcis-12144	76	3	1	1	NUM
fcis-12144	76	4	billion	billion	NUM
fcis-12144	76	5	floating	float	VERB
fcis-12144	76	6	-	-	PUNCT
fcis-12144	76	7	point	point	NOUN
fcis-12144	76	8	operations	operation	NOUN
fcis-12144	76	9	per	per	ADP
fcis-12144	76	10	second	second	NOUN
fcis-12144	76	11	.	.	PUNCT
fcis-12144	77	1	4.4	4.4	NUM
fcis-12144	77	2	.	.	PUNCT
fcis-12144	78	1	experimental	experimental	ADJ
fcis-12144	78	2	results	result	VERB
fcis-12144	78	3	the	the	DET
fcis-12144	78	4	training	training	NOUN
fcis-12144	78	5	results	result	NOUN
fcis-12144	78	6	of	of	ADP
fcis-12144	78	7	cbam	cbam	NOUN
fcis-12144	78	8	-	-	PUNCT
fcis-12144	78	9	yolov5	yolov5	NOUN
fcis-12144	78	10	algorithm	algorithm	NOUN
fcis-12144	78	11	on	on	ADP
fcis-12144	78	12	remote	remote	ADJ
fcis-12144	78	13	sensing	sense	VERB
fcis-12144	78	14	aircraft	aircraft	NOUN
fcis-12144	78	15	data	datum	NOUN
fcis-12144	78	16	set	set	VERB
fcis-12144	78	17	are	be	AUX
fcis-12144	78	18	shown	show	VERB
fcis-12144	78	19	in	in	ADP
fcis-12144	78	20	figure	figure	NOUN
fcis-12144	78	21	8	8	NUM
fcis-12144	78	22	,	,	PUNCT
fcis-12144	78	23	the	the	DET
fcis-12144	78	24	test	test	NOUN
fcis-12144	78	25	results	result	NOUN
fcis-12144	78	26	are	be	AUX
fcis-12144	78	27	shown	show	VERB
fcis-12144	78	28	in	in	ADP
fcis-12144	78	29	figure	figure	NOUN
fcis-12144	78	30	9	9	NUM
fcis-12144	78	31	,	,	PUNCT
fcis-12144	78	32	and	and	CCONJ
fcis-12144	78	33	the	the	DET
fcis-12144	78	34	data	data	NOUN
fcis-12144	78	35	results	result	NOUN
fcis-12144	78	36	are	be	AUX
fcis-12144	78	37	shown	show	VERB
fcis-12144	78	38	in	in	ADP
fcis-12144	78	39	table	table	NOUN
fcis-12144	78	40	3	3	NUM
fcis-12144	78	41	.	.	SYM
fcis-12144	78	42	15	15	NUM
fcis-12144	78	43	figure	figure	NOUN
fcis-12144	78	44	8	8	NUM
fcis-12144	78	45	.	.	PUNCT
fcis-12144	79	1	training	training	NOUN
fcis-12144	79	2	results	result	NOUN
fcis-12144	79	3	of	of	ADP
fcis-12144	79	4	cbam	cbam	NOUN
fcis-12144	79	5	-	-	PUNCT
fcis-12144	79	6	yolov5	yolov5	NOUN
fcis-12144	79	7	figure	figure	NOUN
fcis-12144	79	8	9	9	NUM
fcis-12144	79	9	.	.	PUNCT
fcis-12144	79	10	test	test	NOUN
fcis-12144	79	11	result	result	NOUN
fcis-12144	79	12	of	of	ADP
fcis-12144	79	13	cbam	cbam	NOUN
fcis-12144	79	14	-	-	PUNCT
fcis-12144	79	15	yolov5	yolov5	NOUN
fcis-12144	79	16	table	table	NOUN
fcis-12144	79	17	3	3	NUM
fcis-12144	79	18	.	.	PUNCT
fcis-12144	80	1	experimental	experimental	ADJ
fcis-12144	80	2	results	result	NOUN
fcis-12144	80	3	model	model	VERB
fcis-12144	80	4	map_0.5	map_0.5	NOUN
fcis-12144	80	5	gflops	gflop	NOUN
fcis-12144	80	6	params	param	VERB
fcis-12144	80	7	yolov5	yolov5	NOUN
fcis-12144	80	8	0.921	0.921	NUM
fcis-12144	80	9	4.1	4.1	NUM
fcis-12144	80	10	1760518	1760518	NUM
fcis-12144	80	11	yolov5	yolov5	NOUN
fcis-12144	80	12	-	-	PUNCT
fcis-12144	80	13	c3cbam	c3cbam	PROPN
fcis-12144	80	14	(	(	PUNCT
fcis-12144	80	15	ours	ours	ADJ
fcis-12144	80	16	)	)	PUNCT
fcis-12144	80	17	0.931	0.931	NUM
fcis-12144	80	18	3.4	3.4	NUM
fcis-12144	80	19	1485444	1485444	NUM
fcis-12144	80	20	as	as	SCONJ
fcis-12144	80	21	can	can	AUX
fcis-12144	80	22	be	be	AUX
fcis-12144	80	23	seen	see	VERB
fcis-12144	80	24	from	from	ADP
fcis-12144	80	25	fig	fig	NOUN
fcis-12144	80	26	.	.	PUNCT
fcis-12144	81	1	8	8	NUM
fcis-12144	81	2	,	,	PUNCT
fcis-12144	81	3	after	after	ADP
fcis-12144	81	4	fewer	few	ADJ
fcis-12144	81	5	training	training	NOUN
fcis-12144	81	6	rounds	round	NOUN
fcis-12144	81	7	,	,	PUNCT
fcis-12144	81	8	map_0.5	map_0.5	NOUN
fcis-12144	81	9	reached	reach	VERB
fcis-12144	81	10	more	more	ADJ
fcis-12144	81	11	than	than	ADP
fcis-12144	81	12	80	80	NUM
fcis-12144	81	13	%	%	NOUN
fcis-12144	81	14	and	and	CCONJ
fcis-12144	81	15	began	begin	VERB
fcis-12144	81	16	to	to	PART
fcis-12144	81	17	steadily	steadily	ADV
fcis-12144	81	18	increase	increase	VERB
fcis-12144	81	19	,	,	PUNCT
fcis-12144	81	20	and	and	CCONJ
fcis-12144	81	21	box_loss	box_loss	ADV
fcis-12144	81	22	and	and	CCONJ
fcis-12144	81	23	obj_loss	obj_loss	ADJ
fcis-12144	81	24	was	be	AUX
fcis-12144	81	25	lower	low	ADJ
fcis-12144	81	26	than	than	ADP
fcis-12144	81	27	0.05	0.05	NUM
fcis-12144	81	28	with	with	ADP
fcis-12144	81	29	fewer	few	ADJ
fcis-12144	81	30	training	training	NOUN
fcis-12144	81	31	rounds	round	NOUN
fcis-12144	81	32	,	,	PUNCT
fcis-12144	81	33	and	and	CCONJ
fcis-12144	81	34	steadily	steadily	ADV
fcis-12144	81	35	decreased	decrease	VERB
fcis-12144	81	36	with	with	ADP
fcis-12144	81	37	the	the	DET
fcis-12144	81	38	number	number	NOUN
fcis-12144	81	39	of	of	ADP
fcis-12144	81	40	rounds	round	NOUN
fcis-12144	81	41	.	.	PUNCT
fcis-12144	82	1	it	it	PRON
fcis-12144	82	2	can	can	AUX
fcis-12144	82	3	be	be	AUX
fcis-12144	82	4	seen	see	VERB
fcis-12144	82	5	from	from	ADP
fcis-12144	82	6	figure	figure	NOUN
fcis-12144	82	7	9	9	NUM
fcis-12144	82	8	that	that	SCONJ
fcis-12144	82	9	the	the	DET
fcis-12144	82	10	prediction	prediction	NOUN
fcis-12144	82	11	probability	probability	NOUN
fcis-12144	82	12	of	of	ADP
fcis-12144	82	13	the	the	DET
fcis-12144	82	14	proposed	propose	VERB
fcis-12144	82	15	algorithm	algorithm	NOUN
fcis-12144	82	16	for	for	ADP
fcis-12144	82	17	remote	remote	ADJ
fcis-12144	82	18	sensing	sense	VERB
fcis-12144	82	19	small	small	ADJ
fcis-12144	82	20	-	-	PUNCT
fcis-12144	82	21	size	size	NOUN
fcis-12144	82	22	targets	target	NOUN
fcis-12144	82	23	is	be	AUX
fcis-12144	82	24	greater	great	ADJ
fcis-12144	82	25	than	than	ADP
fcis-12144	82	26	85	85	NUM
fcis-12144	82	27	%	%	NOUN
fcis-12144	82	28	.	.	PUNCT
fcis-12144	83	1	as	as	SCONJ
fcis-12144	83	2	can	can	AUX
fcis-12144	83	3	be	be	AUX
fcis-12144	83	4	seen	see	VERB
fcis-12144	83	5	from	from	ADP
fcis-12144	83	6	table	table	NOUN
fcis-12144	83	7	3	3	NUM
fcis-12144	83	8	,	,	PUNCT
fcis-12144	83	9	when	when	SCONJ
fcis-12144	83	10	lightweight	lightweight	ADJ
fcis-12144	83	11	convolutional	convolutional	ADJ
fcis-12144	83	12	attention	attention	NOUN
fcis-12144	83	13	cbam	cbam	NOUN
fcis-12144	83	14	is	be	AUX
fcis-12144	83	15	introduced	introduce	VERB
fcis-12144	83	16	into	into	ADP
fcis-12144	83	17	c3	c3	PROPN
fcis-12144	83	18	module	module	NOUN
fcis-12144	83	19	,	,	PUNCT
fcis-12144	83	20	the	the	DET
fcis-12144	83	21	average	average	ADJ
fcis-12144	83	22	accuracy	accuracy	NOUN
fcis-12144	83	23	of	of	ADP
fcis-12144	83	24	map_0.5	map_0.5	NOUN
fcis-12144	83	25	is	be	AUX
fcis-12144	83	26	increased	increase	VERB
fcis-12144	83	27	by	by	ADP
fcis-12144	83	28	1	1	NUM
fcis-12144	83	29	%	%	NOUN
fcis-12144	83	30	,	,	PUNCT
fcis-12144	83	31	the	the	DET
fcis-12144	83	32	number	number	NOUN
fcis-12144	83	33	of	of	ADP
fcis-12144	83	34	parameters	parameter	NOUN
fcis-12144	83	35	is	be	AUX
fcis-12144	83	36	reduced	reduce	VERB
fcis-12144	83	37	by	by	ADP
fcis-12144	83	38	15.6	15.6	NUM
fcis-12144	83	39	%	%	NOUN
fcis-12144	83	40	,	,	PUNCT
fcis-12144	83	41	and	and	CCONJ
fcis-12144	83	42	the	the	DET
fcis-12144	83	43	amount	amount	NOUN
fcis-12144	83	44	of	of	ADP
fcis-12144	83	45	computation	computation	NOUN
fcis-12144	83	46	is	be	AUX
fcis-12144	83	47	also	also	ADV
fcis-12144	83	48	reduced	reduce	VERB
fcis-12144	83	49	.	.	PUNCT
fcis-12144	84	1	5	5	X
fcis-12144	84	2	.	.	X
fcis-12144	84	3	conclusion	conclusion	NOUN
fcis-12144	84	4	in	in	ADP
fcis-12144	84	5	this	this	DET
fcis-12144	84	6	paper	paper	NOUN
fcis-12144	84	7	,	,	PUNCT
fcis-12144	84	8	cbam	cbam	NOUN
fcis-12144	84	9	-	-	PUNCT
fcis-12144	84	10	yolov5	yolov5	NOUN
fcis-12144	84	11	optimization	optimization	NOUN
fcis-12144	84	12	algorithm	algorithm	NOUN
fcis-12144	84	13	is	be	AUX
fcis-12144	84	14	proposed	propose	VERB
fcis-12144	84	15	to	to	PART
fcis-12144	84	16	solve	solve	VERB
fcis-12144	84	17	the	the	DET
fcis-12144	84	18	difficult	difficult	ADJ
fcis-12144	84	19	problem	problem	NOUN
fcis-12144	84	20	of	of	ADP
fcis-12144	84	21	extracting	extract	VERB
fcis-12144	84	22	feature	feature	NOUN
fcis-12144	84	23	information	information	NOUN
fcis-12144	84	24	of	of	ADP
fcis-12144	84	25	remote	remote	ADJ
fcis-12144	84	26	sensing	sense	VERB
fcis-12144	84	27	small	small	ADJ
fcis-12144	84	28	size	size	NOUN
fcis-12144	84	29	targets	target	NOUN
fcis-12144	84	30	.	.	PUNCT
fcis-12144	85	1	after	after	ADP
fcis-12144	85	2	experimental	experimental	ADJ
fcis-12144	85	3	verification	verification	NOUN
fcis-12144	85	4	,	,	PUNCT
fcis-12144	85	5	the	the	DET
fcis-12144	85	6	map_0.5	map_0.5	NOUN
fcis-12144	85	7	value	value	NOUN
fcis-12144	85	8	of	of	ADP
fcis-12144	85	9	the	the	DET
fcis-12144	85	10	proposed	propose	VERB
fcis-12144	85	11	algorithm	algorithm	NOUN
fcis-12144	85	12	reaches	reach	VERB
fcis-12144	85	13	93.1	93.1	NUM
fcis-12144	85	14	%	%	NOUN
fcis-12144	85	15	,	,	PUNCT
fcis-12144	85	16	and	and	CCONJ
fcis-12144	85	17	the	the	DET
fcis-12144	85	18	parameter	parameter	NOUN
fcis-12144	85	19	number	number	NOUN
fcis-12144	85	20	is	be	AUX
fcis-12144	85	21	reduced	reduce	VERB
fcis-12144	85	22	by	by	ADP
fcis-12144	85	23	15.6	15.6	NUM
fcis-12144	85	24	%	%	NOUN
fcis-12144	85	25	compared	compare	VERB
fcis-12144	85	26	with	with	ADP
fcis-12144	85	27	the	the	DET
fcis-12144	85	28	original	original	ADJ
fcis-12144	85	29	algorithm	algorithm	NOUN
fcis-12144	85	30	.	.	PUNCT
fcis-12144	86	1	the	the	DET
fcis-12144	86	2	model	model	NOUN
fcis-12144	86	3	not	not	PART
fcis-12144	86	4	only	only	ADV
fcis-12144	86	5	improves	improve	VERB
fcis-12144	86	6	the	the	DET
fcis-12144	86	7	accuracy	accuracy	NOUN
fcis-12144	86	8	rate	rate	NOUN
fcis-12144	86	9	of	of	ADP
fcis-12144	86	10	remote	remote	ADJ
fcis-12144	86	11	sensing	sense	VERB
fcis-12144	86	12	small	small	ADJ
fcis-12144	86	13	-	-	PUNCT
fcis-12144	86	14	size	size	NOUN
fcis-12144	86	15	target	target	NOUN
fcis-12144	86	16	recognition	recognition	NOUN
fcis-12144	86	17	,	,	PUNCT
fcis-12144	86	18	but	but	CCONJ
fcis-12144	86	19	also	also	ADV
fcis-12144	86	20	becomes	become	VERB
fcis-12144	86	21	lighter	light	ADJ
fcis-12144	86	22	.	.	PUNCT
fcis-12144	87	1	however	however	ADV
fcis-12144	87	2	,	,	PUNCT
fcis-12144	87	3	there	there	PRON
fcis-12144	87	4	are	be	VERB
fcis-12144	87	5	still	still	ADV
fcis-12144	87	6	some	some	DET
fcis-12144	87	7	shortcomings	shortcoming	NOUN
fcis-12144	87	8	in	in	ADP
fcis-12144	87	9	the	the	DET
fcis-12144	87	10	detection	detection	NOUN
fcis-12144	87	11	of	of	ADP
fcis-12144	87	12	small	small	ADJ
fcis-12144	87	13	size	size	NOUN
fcis-12144	87	14	objects	object	NOUN
fcis-12144	87	15	in	in	ADP
fcis-12144	87	16	intensive	intensive	ADJ
fcis-12144	87	17	remote	remote	ADJ
fcis-12144	87	18	sensing	sensing	NOUN
fcis-12144	87	19	,	,	PUNCT
fcis-12144	87	20	and	and	CCONJ
fcis-12144	87	21	this	this	DET
fcis-12144	87	22	problem	problem	NOUN
fcis-12144	87	23	will	will	AUX
fcis-12144	87	24	be	be	AUX
fcis-12144	87	25	studied	study	VERB
fcis-12144	87	26	based	base	VERB
fcis-12144	87	27	on	on	ADP
fcis-12144	87	28	the	the	DET
fcis-12144	87	29	algorithm	algorithm	NOUN
fcis-12144	87	30	in	in	ADP
fcis-12144	87	31	this	this	DET
fcis-12144	87	32	paper	paper	NOUN
fcis-12144	87	33	in	in	ADP
fcis-12144	87	34	the	the	DET
fcis-12144	87	35	future	future	NOUN
fcis-12144	87	36	.	.	PUNCT
fcis-12144	88	1	references	reference	NOUN
fcis-12144	88	2	[	[	X
fcis-12144	88	3	1	1	X
fcis-12144	88	4	]	]	X
fcis-12144	88	5	girshick	girshick	ADJ
fcis-12144	88	6	r	r	PROPN
fcis-12144	88	7	,	,	PUNCT
fcis-12144	88	8	donahue	donahue	PROPN
fcis-12144	88	9	j	j	PROPN
fcis-12144	88	10	,	,	PUNCT
fcis-12144	88	11	darrell	darrell	PROPN
fcis-12144	88	12	t	t	PROPN
fcis-12144	88	13	,	,	PUNCT
fcis-12144	88	14	et	et	PROPN
fcis-12144	88	15	al	al	PROPN
fcis-12144	88	16	.	.	PROPN
fcis-12144	89	1	rich	rich	ADJ
fcis-12144	89	2	feature	feature	NOUN
fcis-12144	89	3	hierarchies	hierarchy	NOUN
fcis-12144	89	4	for	for	ADP
fcis-12144	89	5	accurate	accurate	ADJ
fcis-12144	89	6	object	object	NOUN
fcis-12144	89	7	detection	detection	NOUN
fcis-12144	89	8	and	and	CCONJ
fcis-12144	89	9	semantic	semantic	ADJ
fcis-12144	89	10	segmentation[c]//proceedings	segmentation[c]//proceeding	NOUN
fcis-12144	89	11	of	of	ADP
fcis-12144	89	12	the	the	DET
fcis-12144	89	13	ieee	ieee	NOUN
fcis-12144	89	14	conference	conference	NOUN
fcis-12144	89	15	on	on	ADP
fcis-12144	89	16	computer	computer	NOUN
fcis-12144	89	17	vision	vision	NOUN
fcis-12144	89	18	and	and	CCONJ
fcis-12144	89	19	pattern	pattern	NOUN
fcis-12144	89	20	recognition.columbus	recognition.columbus	ADJ
fcis-12144	89	21	:	:	PUNCT
fcis-12144	89	22	ieee	ieee	NOUN
fcis-12144	89	23	,	,	PUNCT
fcis-12144	89	24	2014:580	2014:580	NUM
fcis-12144	89	25	-	-	SYM
fcis-12144	89	26	587	587	NUM
fcis-12144	89	27	.	.	PUNCT
fcis-12144	90	1	[	[	X
fcis-12144	90	2	2	2	X
fcis-12144	90	3	]	]	X
fcis-12144	90	4	girshick	girshick	ADJ
fcis-12144	90	5	r	r	NOUN
fcis-12144	90	6	,	,	PUNCT
fcis-12144	90	7	fast	fast	ADJ
fcis-12144	90	8	r	r	NOUN
fcis-12144	90	9	-	-	PUNCT
fcis-12144	90	10	cnn[c]//proceedings	cnn[c]//proceeding	NOUN
fcis-12144	90	11	of	of	ADP
fcis-12144	90	12	the	the	DET
fcis-12144	90	13	ieee	ieee	NOUN
fcis-12144	90	14	international	international	PROPN
fcis-12144	90	15	conference	conference	NOUN
fcis-12144	90	16	on	on	ADP
fcis-12144	90	17	computer	computer	NOUN
fcis-12144	90	18	vision.santiago	vision.santiago	PROPN
fcis-12144	90	19	:	:	PUNCT
fcis-12144	90	20	ieee	ieee	NOUN
fcis-12144	90	21	,	,	PUNCT
fcis-12144	90	22	2015	2015	NUM
fcis-12144	90	23	:	:	PUNCT
fcis-12144	90	24	1440	1440	NUM
fcis-12144	90	25	-	-	SYM
fcis-12144	90	26	1448	1448	NUM
fcis-12144	90	27	.	.	PUNCT
fcis-12144	91	1	[	[	X
fcis-12144	91	2	3	3	X
fcis-12144	91	3	]	]	X
fcis-12144	91	4	ren	ren	PROPN
fcis-12144	91	5	s	s	PROPN
fcis-12144	91	6	,	,	PUNCT
fcis-12144	91	7	he	he	PRON
fcis-12144	91	8	k	k	NOUN
fcis-12144	91	9	,	,	PUNCT
fcis-12144	91	10	girshick	girshick	ADJ
fcis-12144	91	11	r	r	NOUN
fcis-12144	91	12	,	,	PUNCT
fcis-12144	91	13	et	et	NOUN
fcis-12144	91	14	al.faster	al.faster	ADP
fcis-12144	91	15	r	r	NOUN
fcis-12144	91	16	-	-	PUNCT
fcis-12144	91	17	cnn	cnn	NOUN
fcis-12144	91	18	:	:	PUNCT
fcis-12144	91	19	towards	towards	ADP
fcis-12144	91	20	real	real	ADJ
fcis-12144	91	21	-	-	PUNCT
fcis-12144	91	22	time	time	NOUN
fcis-12144	91	23	object	object	NOUN
fcis-12144	91	24	detection	detection	NOUN
fcis-12144	91	25	with	with	ADP
fcis-12144	91	26	region	region	NOUN
fcis-12144	91	27	proposal	proposal	NOUN
fcis-12144	91	28	networks	network	NOUN
fcis-12144	92	1	[	[	X
fcis-12144	92	2	j	j	X
fcis-12144	92	3	]	]	X
fcis-12144	92	4	.ieee	.ieee	NOUN
fcis-12144	92	5	transactions	transaction	NOUN
fcis-12144	92	6	on	on	ADP
fcis-12144	92	7	pattern	pattern	NOUN
fcis-12144	92	8	analysis	analysis	NOUN
fcis-12144	92	9	and	and	CCONJ
fcis-12144	92	10	machine	machine	NOUN
fcis-12144	92	11	intelligence,2017,39(6):1137	intelligence,2017,39(6):1137	NOUN
fcis-12144	92	12	-	-	PUNCT
fcis-12144	92	13	1149	1149	NUM
fcis-12144	92	14	.	.	PUNCT
fcis-12144	93	1	[	[	X
fcis-12144	93	2	4	4	X
fcis-12144	93	3	]	]	PUNCT
fcis-12144	93	4	he	he	PRON
fcis-12144	93	5	k	k	NOUN
fcis-12144	93	6	,	,	PUNCT
fcis-12144	93	7	gkioxari	gkioxari	NOUN
fcis-12144	93	8	g	g	NOUN
fcis-12144	93	9	,	,	PUNCT
fcis-12144	93	10	dollar	dollar	NOUN
fcis-12144	93	11	p	p	NOUN
fcis-12144	93	12	,	,	PUNCT
fcis-12144	93	13	et	et	NOUN
fcis-12144	93	14	al.mask	al.mask	NOUN
fcis-12144	93	15	r	r	NOUN
fcis-12144	93	16	-	-	PUNCT
fcis-12144	93	17	cnn[c]//	cnn[c]//	ADJ
fcis-12144	93	18	proceedings	proceeding	NOUN
fcis-12144	93	19	of	of	ADP
fcis-12144	93	20	the	the	DET
fcis-12144	93	21	ieee	ieee	NOUN
fcis-12144	93	22	international	international	PROPN
fcis-12144	93	23	conference	conference	NOUN
fcis-12144	93	24	on	on	ADP
fcis-12144	93	25	computer	computer	NOUN
fcis-12144	93	26	vision.2017:2961	vision.2017:2961	PROPN
fcis-12144	93	27	-	-	PUNCT
fcis-12144	93	28	2969	2969	NUM
fcis-12144	93	29	.	.	PUNCT
fcis-12144	94	1	[	[	X
fcis-12144	94	2	5	5	X
fcis-12144	94	3	]	]	X
fcis-12144	94	4	liu	liu	PROPN
fcis-12144	94	5	w	w	PROPN
fcis-12144	94	6	,	,	PUNCT
fcis-12144	94	7	anguelov	anguelov	NOUN
fcis-12144	94	8	d	d	NOUN
fcis-12144	94	9	,	,	PUNCT
fcis-12144	94	10	erhan	erhan	ADP
fcis-12144	94	11	d	d	PROPN
fcis-12144	94	12	,	,	PUNCT
fcis-12144	94	13	et	et	PROPN
fcis-12144	94	14	al.ssd	al.ssd	PROPN
fcis-12144	94	15	:	:	PUNCT
fcis-12144	94	16	single	single	ADJ
fcis-12144	94	17	shot	shot	PROPN
fcis-12144	94	18	multibox	multibox	NOUN
fcis-12144	94	19	detector	detector	NOUN
fcis-12144	94	20	[	[	X
fcis-12144	94	21	c]//proceedings	c]//proceeding	NOUN
fcis-12144	94	22	of	of	ADP
fcis-12144	94	23	14th	14th	ADJ
fcis-12144	94	24	european	european	ADJ
fcis-12144	94	25	conference	conference	NOUN
fcis-12144	94	26	on	on	ADP
fcis-12144	94	27	computer	computer	NOUN
fcis-12144	94	28	vision.amsterdam	vision.amsterdam	NUM
fcis-12144	94	29	:	:	PUNCT
fcis-12144	94	30	springer	springer	NOUN
fcis-12144	94	31	,	,	PUNCT
fcis-12144	94	32	2016	2016	NUM
fcis-12144	94	33	:	:	PUNCT
fcis-12144	94	34	21	21	NUM
fcis-12144	94	35	-	-	SYM
fcis-12144	94	36	37	37	NUM
fcis-12144	94	37	.	.	PUNCT
fcis-12144	95	1	[	[	X
fcis-12144	95	2	6	6	NUM
fcis-12144	95	3	]	]	X
fcis-12144	95	4	redmon	redmon	PROPN
fcis-12144	95	5	j	j	PROPN
fcis-12144	95	6	,	,	PUNCT
fcis-12144	95	7	divvala	divvala	PROPN
fcis-12144	95	8	s	s	PROPN
fcis-12144	95	9	,	,	PUNCT
fcis-12144	95	10	girshick	girshick	ADJ
fcis-12144	95	11	r	r	NOUN
fcis-12144	95	12	,	,	PUNCT
fcis-12144	95	13	et	et	NOUN
fcis-12144	95	14	al.you	al.you	PRON
fcis-12144	95	15	only	only	ADV
fcis-12144	95	16	look	look	VERB
fcis-12144	95	17	once	once	ADV
fcis-12144	95	18	:	:	PUNCT
fcis-12144	95	19	unified	unified	ADJ
fcis-12144	95	20	,	,	PUNCT
fcis-12144	95	21	real	real	ADJ
fcis-12144	95	22	-	-	PUNCT
fcis-12144	95	23	time	time	NOUN
fcis-12144	95	24	object	object	NOUN
fcis-12144	95	25	detection[c]//	detection[c]//	ADJ
fcis-12144	95	26	proceedings	proceeding	NOUN
fcis-12144	95	27	of	of	ADP
fcis-12144	95	28	the	the	DET
fcis-12144	95	29	ieee	ieee	NOUN
fcis-12144	95	30	conference	conference	NOUN
fcis-12144	95	31	on	on	ADP
fcis-12144	95	32	computer	computer	NOUN
fcis-12144	95	33	vision	vision	NOUN
fcis-12144	95	34	and	and	CCONJ
fcis-12144	95	35	pattern	pattern	NOUN
fcis-12144	95	36	recognition.seattle	recognition.seattle	NOUN
fcis-12144	95	37	:	:	PUNCT
fcis-12144	95	38	ieee,2016:779	ieee,2016:779	NOUN
fcis-12144	95	39	-	-	NOUN
fcis-12144	95	40	788	788	NUM
fcis-12144	95	41	.	.	PUNCT
fcis-12144	96	1	[	[	X
fcis-12144	96	2	7	7	X
fcis-12144	96	3	]	]	X
fcis-12144	96	4	zhang	zhang	PROPN
fcis-12144	96	5	w	w	PROPN
fcis-12144	96	6	,	,	PUNCT
fcis-12144	96	7	wang	wang	PROPN
fcis-12144	96	8	s	s	PROPN
fcis-12144	96	9	h	h	NOUN
fcis-12144	96	10	,	,	PUNCT
fcis-12144	96	11	thachan	thachan	ADP
fcis-12144	96	12	s	s	PROPN
fcis-12144	96	13	,	,	PUNCT
fcis-12144	96	14	et	et	PROPN
fcis-12144	96	15	al	al	PROPN
fcis-12144	96	16	.	.	PUNCT
fcis-12144	96	17	deconv	deconv	PROPN
fcis-12144	96	18	r	r	PROPN
fcis-12144	96	19	-	-	PUNCT
fcis-12144	96	20	cnn	cnn	PROPN
fcis-12144	96	21	for	for	ADP
fcis-12144	96	22	small	small	ADJ
fcis-12144	96	23	object	object	NOUN
fcis-12144	96	24	detection	detection	NOUN
fcis-12144	96	25	on	on	ADP
fcis-12144	96	26	remote	remote	ADJ
fcis-12144	96	27	sensing	sense	VERB
fcis-12144	96	28	images[c	images[c	PROPN
fcis-12144	96	29	]	]	PUNCT
fcis-12144	97	1	//	//	NUM
fcis-12144	97	2	proceedings	proceeding	NOUN
fcis-12144	97	3	of	of	ADP
fcis-12144	97	4	the	the	DET
fcis-12144	97	5	ieee	ieee	NOUN
fcis-12144	97	6	international	international	PROPN
fcis-12144	97	7	geoscience	geoscience	PROPN
fcis-12144	97	8	and	and	CCONJ
fcis-12144	97	9	remote	remote	ADJ
fcis-12144	97	10	sensing	sense	VERB
fcis-12144	97	11	symposium	symposium	NOUN
fcis-12144	97	12	.	.	PUNCT
fcis-12144	98	1	los	los	PROPN
fcis-12144	98	2	alamitos	alamitos	PROPN
fcis-12144	98	3	:	:	PUNCT
fcis-12144	98	4	ieee	ieee	NOUN
fcis-12144	98	5	computer	computer	NOUN
fcis-12144	98	6	society	society	PROPN
fcis-12144	98	7	press	press	NOUN
fcis-12144	98	8	,	,	PUNCT
fcis-12144	98	9	2018	2018	NUM
fcis-12144	98	10	:	:	PUNCT
fcis-12144	98	11	2483	2483	NUM
fcis-12144	98	12	-	-	SYM
fcis-12144	98	13	2486	2486	NUM
fcis-12144	98	14	.	.	PUNCT
fcis-12144	99	1	[	[	X
fcis-12144	99	2	8	8	NUM
fcis-12144	99	3	]	]	X
fcis-12144	99	4	zhang	zhang	PROPN
fcis-12144	99	5	z	z	PROPN
fcis-12144	99	6	y	y	PROPN
fcis-12144	99	7	,	,	PUNCT
fcis-12144	99	8	liu	liu	PROPN
fcis-12144	99	9	y	y	PROPN
fcis-12144	99	10	p	p	PROPN
fcis-12144	99	11	,	,	PUNCT
fcis-12144	99	12	liu	liu	PROPN
fcis-12144	99	13	t	t	PROPN
fcis-12144	99	14	c	c	PROPN
fcis-12144	99	15	,	,	PUNCT
fcis-12144	99	16	et	et	PROPN
fcis-12144	99	17	al	al	PROPN
fcis-12144	99	18	.	.	PROPN
fcis-12144	99	19	dagn	dagn	PROPN
fcis-12144	99	20	:	:	PUNCT
fcis-12144	99	21	a	a	DET
fcis-12144	99	22	real	real	ADJ
fcis-12144	99	23	-	-	PUNCT
fcis-12144	99	24	time	time	NOUN
fcis-12144	99	25	uav	uav	PROPN
fcis-12144	99	26	remote	remote	ADJ
fcis-12144	99	27	sensing	sense	VERB
fcis-12144	99	28	image	image	NOUN
fcis-12144	99	29	vehicle	vehicle	NOUN
fcis-12144	99	30	detection	detection	NOUN
fcis-12144	99	31	framework[j	framework[j	PROPN
fcis-12144	99	32	]	]	PUNCT
fcis-12144	99	33	.	.	PUNCT
fcis-12144	100	1	ieee	ieee	PROPN
fcis-12144	100	2	geoscience	geoscience	PROPN
fcis-12144	100	3	and	and	CCONJ
fcis-12144	100	4	remote	remote	ADJ
fcis-12144	100	5	sensing	sense	VERB
fcis-12144	100	6	letters	letter	NOUN
fcis-12144	100	7	,	,	PUNCT
fcis-12144	100	8	2020	2020	NUM
fcis-12144	100	9	,	,	PUNCT
fcis-12144	100	10	17(11	17(11	NUM
fcis-12144	100	11	):	):	PUNCT
fcis-12144	100	12	18841888	18841888	NUM
fcis-12144	100	13	.	.	PUNCT
fcis-12144	101	1	[	[	X
fcis-12144	101	2	9	9	NUM
fcis-12144	101	3	]	]	PUNCT
fcis-12144	101	4	song	song	NOUN
fcis-12144	101	5	k	k	PROPN
fcis-12144	101	6	,	,	PUNCT
fcis-12144	101	7	huang	huang	PROPN
fcis-12144	101	8	p	p	PROPN
fcis-12144	101	9	m	m	PROPN
fcis-12144	101	10	,	,	PUNCT
fcis-12144	101	11	lin	lin	PROPN
fcis-12144	101	12	z	z	PROPN
fcis-12144	101	13	p	p	PROPN
fcis-12144	101	14	,	,	PUNCT
fcis-12144	101	15	et	et	PROPN
fcis-12144	101	16	al	al	PROPN
fcis-12144	101	17	.	.	PUNCT
fcis-12144	102	1	an	an	DET
fcis-12144	102	2	oriented	orient	VERB
fcis-12144	102	3	anchor	anchor	NOUN
fcis-12144	102	4	-	-	PUNCT
fcis-12144	102	5	free	free	ADJ
fcis-12144	102	6	object	object	NOUN
fcis-12144	102	7	detector	detector	NOUN
fcis-12144	102	8	including	include	VERB
fcis-12144	102	9	feature	feature	NOUN
fcis-12144	102	10	fusion	fusion	NOUN
fcis-12144	102	11	and	and	CCONJ
fcis-12144	102	12	foreground	foreground	NOUN
fcis-12144	102	13	enhancement	enhancement	NOUN
fcis-12144	102	14	for	for	ADP
fcis-12144	102	15	remote	remote	ADJ
fcis-12144	102	16	sensing	sense	VERB
fcis-12144	102	17	images[j	images[j	PROPN
fcis-12144	102	18	]	]	PUNCT
fcis-12144	102	19	.	.	PUNCT
fcis-12144	103	1	remote	remote	ADJ
fcis-12144	103	2	sensing	sense	VERB
fcis-12144	103	3	letters	letter	NOUN
fcis-12144	103	4	,	,	PUNCT
fcis-12144	103	5	2021	2021	NUM
fcis-12144	103	6	,	,	PUNCT
fcis-12144	103	7	12(4	12(4	NUM
fcis-12144	103	8	):	):	PUNCT
fcis-12144	103	9	397	397	NUM
fcis-12144	103	10	-	-	SYM
fcis-12144	103	11	407	407	NUM
fcis-12144	103	12	.	.	PUNCT
fcis-12144	104	1	[	[	X
fcis-12144	104	2	10	10	NUM
fcis-12144	104	3	]	]	X
fcis-12144	104	4	liu	liu	PROPN
fcis-12144	104	5	s	s	PROPN
fcis-12144	104	6	,	,	PUNCT
fcis-12144	104	7	zhang	zhang	PROPN
fcis-12144	104	8	l	l	PROPN
fcis-12144	104	9	,	,	PUNCT
fcis-12144	104	10	lu	lu	PROPN
fcis-12144	104	11	h	h	NOUN
fcis-12144	104	12	c	c	NOUN
fcis-12144	104	13	,	,	PUNCT
fcis-12144	104	14	et	et	PROPN
fcis-12144	104	15	al	al	PROPN
fcis-12144	104	16	.	.	PROPN
fcis-12144	104	17	center	center	ADJ
fcis-12144	104	18	-	-	PUNCT
fcis-12144	104	19	boundary	boundary	ADJ
fcis-12144	104	20	dual	dual	ADJ
fcis-12144	104	21	attention	attention	NOUN
fcis-12144	104	22	for	for	ADP
fcis-12144	104	23	oriented	orient	VERB
fcis-12144	104	24	object	object	NOUN
fcis-12144	104	25	detection	detection	NOUN
fcis-12144	104	26	in	in	ADP
fcis-12144	104	27	remote	remote	ADJ
fcis-12144	104	28	sensing	sense	VERB
fcis-12144	104	29	images[j	images[j	PROPN
fcis-12144	104	30	]	]	PUNCT
fcis-12144	104	31	.	.	PUNCT
fcis-12144	105	1	ieee	ieee	NOUN
fcis-12144	105	2	transactions	transaction	NOUN
fcis-12144	105	3	on	on	ADP
fcis-12144	105	4	geoscience	geoscience	NOUN
fcis-12144	105	5	and	and	CCONJ
fcis-12144	105	6	remote	remote	ADJ
fcis-12144	105	7	sensing	sensing	NOUN
fcis-12144	105	8	,	,	PUNCT
fcis-12144	105	9	2022	2022	NUM
fcis-12144	105	10	,	,	PUNCT
fcis-12144	105	11	60	60	NUM
fcis-12144	105	12	:	:	SYM
fcis-12144	105	13	114	114	NUM
fcis-12144	105	14	.	.	PUNCT
fcis-12144	106	1	[	[	X
fcis-12144	106	2	11	11	NUM
fcis-12144	106	3	]	]	X
fcis-12144	106	4	woo	woo	NOUN
fcis-12144	106	5	s	s	PROPN
fcis-12144	106	6	,	,	PUNCT
fcis-12144	106	7	park	park	PROPN
fcis-12144	106	8	j	j	PROPN
fcis-12144	106	9	,	,	PUNCT
fcis-12144	106	10	lee	lee	PROPN
fcis-12144	106	11	j	j	PROPN
fcis-12144	106	12	y	y	PROPN
fcis-12144	106	13	,	,	PUNCT
fcis-12144	106	14	et	et	PROPN
fcis-12144	106	15	al	al	PROPN
fcis-12144	106	16	.	.	PUNCT
fcis-12144	106	17	cbam	cbam	NOUN
fcis-12144	106	18	:	:	PUNCT
fcis-12144	106	19	convolutional	convolutional	ADJ
fcis-12144	106	20	block	block	NOUN
fcis-12144	106	21	attention	attention	NOUN
fcis-12144	106	22	module[c]//proceedings	module[c]//proceeding	NOUN
fcis-12144	106	23	of	of	ADP
fcis-12144	106	24	the	the	DET
fcis-12144	106	25	european	european	PROPN
fcis-12144	106	26	conference	conference	PROPN
fcis-12144	106	27	on	on	ADP
fcis-12144	106	28	computer	computer	NOUN
fcis-12144	106	29	vision	vision	NOUN
fcis-12144	106	30	(	(	PUNCT
fcis-12144	106	31	eccv	eccv	ADV
fcis-12144	106	32	)	)	PUNCT
fcis-12144	106	33	.	.	PUNCT
fcis-12144	107	1	2018	2018	NUM
fcis-12144	107	2	:	:	PUNCT
fcis-12144	107	3	3	3	NUM
fcis-12144	107	4	-	-	SYM
fcis-12144	107	5	19	19	NUM
fcis-12144	107	6	.	.	PUNCT