id	sid	tid	token	lemma	pos
fcis-9473	1	1	frontiers	frontier	NOUN
fcis-9473	1	2	in	in	ADP
fcis-9473	1	3	computing	computing	NOUN
fcis-9473	1	4	and	and	CCONJ
fcis-9473	1	5	intelligent	intelligent	ADJ
fcis-9473	1	6	systems	system	NOUN
fcis-9473	1	7	issn	issn	VERB
fcis-9473	1	8	:	:	PUNCT
fcis-9473	1	9	2832	2832	NUM
fcis-9473	1	10	-	-	SYM
fcis-9473	1	11	6024	6024	NUM
fcis-9473	1	12	|	|	NOUN
fcis-9473	1	13	vol	vol	NOUN
fcis-9473	1	14	.	.	PROPN
fcis-9473	2	1	4	4	NUM
fcis-9473	2	2	,	,	PUNCT
fcis-9473	2	3	no	no	INTJ
fcis-9473	2	4	.	.	NOUN
fcis-9473	2	5	1	1	NUM
fcis-9473	2	6	,	,	PUNCT
fcis-9473	2	7	2023	2023	NUM
fcis-9473	2	8	97	97	NUM
fcis-9473	2	9	improved	improved	ADJ
fcis-9473	2	10	detection	detection	NOUN
fcis-9473	2	11	of	of	ADP
fcis-9473	2	12	ice	ice	NOUN
fcis-9473	2	13	accretion	accretion	NOUN
fcis-9473	2	14	status	status	NOUN
fcis-9473	2	15	on	on	ADP
fcis-9473	2	16	transmission	transmission	NOUN
fcis-9473	2	17	lines	line	NOUN
fcis-9473	2	18	using	use	VERB
fcis-9473	2	19	yolov5s	yolov5s	PROPN
fcis-9473	2	20	yukai	yukai	PROPN
fcis-9473	2	21	lu	lu	PROPN
fcis-9473	2	22	*	*	PUNCT
fcis-9473	2	23	,	,	PUNCT
fcis-9473	2	24	yongbiao	yongbiao	PROPN
fcis-9473	2	25	zhao	zhao	PROPN
fcis-9473	2	26	,	,	PUNCT
fcis-9473	2	27	yun	yun	PROPN
fcis-9473	2	28	ju	ju	PROPN
fcis-9473	2	29	school	school	PROPN
fcis-9473	2	30	of	of	ADP
fcis-9473	2	31	control	control	NOUN
fcis-9473	2	32	and	and	CCONJ
fcis-9473	2	33	computer	computer	NOUN
fcis-9473	2	34	engineering	engineering	NOUN
fcis-9473	2	35	,	,	PUNCT
fcis-9473	2	36	north	north	PROPN
fcis-9473	2	37	china	china	PROPN
fcis-9473	2	38	electric	electric	PROPN
fcis-9473	2	39	power	power	PROPN
fcis-9473	2	40	university	university	PROPN
fcis-9473	2	41	,	,	PUNCT
fcis-9473	2	42	changping	changpe	VERB
fcis-9473	2	43	district	district	NOUN
fcis-9473	2	44	,	,	PUNCT
fcis-9473	2	45	beijing	beijing	PROPN
fcis-9473	2	46	102206	102206	NUM
fcis-9473	2	47	,	,	PUNCT
fcis-9473	2	48	china	china	PROPN
fcis-9473	2	49	*	*	PUNCT
fcis-9473	2	50	corresponding	correspond	VERB
fcis-9473	2	51	author	author	NOUN
fcis-9473	2	52	:	:	PUNCT
fcis-9473	2	53	yukai	yukai	PROPN
fcis-9473	2	54	lu	lu	PROPN
fcis-9473	2	55	(	(	PUNCT
fcis-9473	2	56	email	email	NOUN
fcis-9473	2	57	:	:	PUNCT
fcis-9473	2	58	1360444162@qq.com	1360444162@qq.com	NUM
fcis-9473	2	59	)	)	PUNCT
fcis-9473	2	60	abstract	abstract	NOUN
fcis-9473	2	61	:	:	PUNCT
fcis-9473	2	62	ice	ice	NOUN
fcis-9473	2	63	accretion	accretion	NOUN
fcis-9473	2	64	on	on	ADP
fcis-9473	2	65	transmission	transmission	NOUN
fcis-9473	2	66	lines	line	NOUN
fcis-9473	2	67	is	be	AUX
fcis-9473	2	68	one	one	NUM
fcis-9473	2	69	of	of	ADP
fcis-9473	2	70	the	the	DET
fcis-9473	2	71	major	major	ADJ
fcis-9473	2	72	hidden	hide	VERB
fcis-9473	2	73	dangers	danger	NOUN
fcis-9473	2	74	to	to	ADP
fcis-9473	2	75	the	the	DET
fcis-9473	2	76	safe	safe	ADJ
fcis-9473	2	77	operation	operation	NOUN
fcis-9473	2	78	of	of	ADP
fcis-9473	2	79	power	power	NOUN
fcis-9473	2	80	systems	system	NOUN
fcis-9473	2	81	.	.	PUNCT
fcis-9473	3	1	the	the	DET
fcis-9473	3	2	current	current	ADJ
fcis-9473	3	3	ice	ice	NOUN
fcis-9473	3	4	image	image	NOUN
fcis-9473	3	5	monitoring	monitoring	NOUN
fcis-9473	3	6	system	system	NOUN
fcis-9473	3	7	of	of	ADP
fcis-9473	3	8	power	power	NOUN
fcis-9473	3	9	companies	company	NOUN
fcis-9473	3	10	urgently	urgently	ADV
fcis-9473	3	11	needs	need	VERB
fcis-9473	3	12	to	to	PART
fcis-9473	3	13	quickly	quickly	ADV
fcis-9473	3	14	and	and	CCONJ
fcis-9473	3	15	accurately	accurately	ADV
fcis-9473	3	16	detect	detect	VERB
fcis-9473	3	17	the	the	DET
fcis-9473	3	18	ice	ice	NOUN
fcis-9473	3	19	accretion	accretion	NOUN
fcis-9473	3	20	status	status	NOUN
fcis-9473	3	21	from	from	ADP
fcis-9473	3	22	massive	massive	ADJ
fcis-9473	3	23	real	real	ADJ
fcis-9473	3	24	-	-	PUNCT
fcis-9473	3	25	time	time	NOUN
fcis-9473	3	26	image	image	NOUN
fcis-9473	3	27	data	datum	NOUN
fcis-9473	3	28	to	to	PART
fcis-9473	3	29	assist	assist	VERB
fcis-9473	3	30	in	in	ADP
fcis-9473	3	31	the	the	DET
fcis-9473	3	32	smooth	smooth	ADJ
fcis-9473	3	33	implementation	implementation	NOUN
fcis-9473	3	34	of	of	ADP
fcis-9473	3	35	de	de	ADJ
fcis-9473	3	36	-	-	ADJ
fcis-9473	3	37	icing	icing	ADJ
fcis-9473	3	38	work	work	NOUN
fcis-9473	3	39	.	.	PUNCT
fcis-9473	4	1	based	base	VERB
fcis-9473	4	2	on	on	ADP
fcis-9473	4	3	the	the	DET
fcis-9473	4	4	original	original	ADJ
fcis-9473	4	5	dataset	dataset	NOUN
fcis-9473	4	6	constructed	construct	VERB
fcis-9473	4	7	with	with	ADP
fcis-9473	4	8	the	the	DET
fcis-9473	4	9	help	help	NOUN
fcis-9473	4	10	of	of	ADP
fcis-9473	4	11	shanxi	shanxi	PROPN
fcis-9473	4	12	power	power	PROPN
fcis-9473	4	13	company	company	NOUN
fcis-9473	4	14	,	,	PUNCT
fcis-9473	4	15	this	this	DET
fcis-9473	4	16	paper	paper	NOUN
fcis-9473	4	17	establishes	establish	VERB
fcis-9473	4	18	a	a	DET
fcis-9473	4	19	transmission	transmission	NOUN
fcis-9473	4	20	line	line	NOUN
fcis-9473	4	21	ice	ice	NOUN
fcis-9473	4	22	accretion	accretion	NOUN
fcis-9473	4	23	image	image	NOUN
fcis-9473	4	24	dataset	dataset	VERB
fcis-9473	4	25	through	through	ADP
fcis-9473	4	26	image	image	NOUN
fcis-9473	4	27	screening	screening	NOUN
fcis-9473	4	28	,	,	PUNCT
fcis-9473	4	29	image	image	NOUN
fcis-9473	4	30	enhancement	enhancement	NOUN
fcis-9473	4	31	,	,	PUNCT
fcis-9473	4	32	image	image	NOUN
fcis-9473	4	33	sliding	slide	VERB
fcis-9473	4	34	window	window	NOUN
fcis-9473	4	35	segmentation	segmentation	NOUN
fcis-9473	4	36	,	,	PUNCT
fcis-9473	4	37	and	and	CCONJ
fcis-9473	4	38	image	image	NOUN
fcis-9473	4	39	annotation	annotation	NOUN
fcis-9473	4	40	.	.	PUNCT
fcis-9473	5	1	on	on	ADP
fcis-9473	5	2	the	the	DET
fcis-9473	5	3	basis	basis	NOUN
fcis-9473	5	4	of	of	ADP
fcis-9473	5	5	the	the	DET
fcis-9473	5	6	original	original	ADJ
fcis-9473	5	7	yolov5s	yolov5s	PROPN
fcis-9473	5	8	model	model	NOUN
fcis-9473	5	9	,	,	PUNCT
fcis-9473	5	10	this	this	DET
fcis-9473	5	11	paper	paper	NOUN
fcis-9473	5	12	proposes	propose	VERB
fcis-9473	5	13	three	three	NUM
fcis-9473	5	14	improvements	improvement	NOUN
fcis-9473	5	15	:	:	PUNCT
fcis-9473	5	16	1	1	X
fcis-9473	5	17	.	.	X
fcis-9473	5	18	designing	design	VERB
fcis-9473	5	19	a	a	DET
fcis-9473	5	20	feature	feature	NOUN
fcis-9473	5	21	enhancement	enhancement	NOUN
fcis-9473	5	22	module	module	NOUN
fcis-9473	5	23	based	base	VERB
fcis-9473	5	24	on	on	ADP
fcis-9473	5	25	atrous	atrous	ADJ
fcis-9473	5	26	convolution	convolution	NOUN
fcis-9473	5	27	to	to	PART
fcis-9473	5	28	increase	increase	VERB
fcis-9473	5	29	the	the	DET
fcis-9473	5	30	receptive	receptive	ADJ
fcis-9473	5	31	field	field	NOUN
fcis-9473	5	32	and	and	CCONJ
fcis-9473	5	33	obtain	obtain	VERB
fcis-9473	5	34	more	more	ADJ
fcis-9473	5	35	contextual	contextual	ADJ
fcis-9473	5	36	information	information	NOUN
fcis-9473	5	37	while	while	SCONJ
fcis-9473	5	38	preserving	preserve	VERB
fcis-9473	5	39	the	the	DET
fcis-9473	5	40	texture	texture	ADJ
fcis-9473	5	41	details	detail	NOUN
fcis-9473	5	42	of	of	ADP
fcis-9473	5	43	the	the	DET
fcis-9473	5	44	feature	feature	NOUN
fcis-9473	5	45	map	map	NOUN
fcis-9473	5	46	.	.	PUNCT
fcis-9473	6	1	2	2	X
fcis-9473	6	2	.	.	X
fcis-9473	6	3	this	this	DET
fcis-9473	6	4	paper	paper	NOUN
fcis-9473	6	5	simplifies	simplify	VERB
fcis-9473	6	6	cross	cross	ADJ
fcis-9473	6	7	-	-	ADJ
fcis-9473	6	8	scale	scale	ADJ
fcis-9473	6	9	connections	connection	NOUN
fcis-9473	6	10	and	and	CCONJ
fcis-9473	6	11	contextual	contextual	ADJ
fcis-9473	6	12	information	information	NOUN
fcis-9473	6	13	weighting	weight	VERB
fcis-9473	6	14	operations	operation	NOUN
fcis-9473	6	15	in	in	ADP
fcis-9473	6	16	the	the	DET
fcis-9473	6	17	feature	feature	NOUN
fcis-9473	6	18	pyramid	pyramid	NOUN
fcis-9473	6	19	to	to	PART
fcis-9473	6	20	enhance	enhance	VERB
fcis-9473	6	21	the	the	DET
fcis-9473	6	22	network	network	NOUN
fcis-9473	6	23	's	's	PART
fcis-9473	6	24	feature	feature	NOUN
fcis-9473	6	25	extraction	extraction	NOUN
fcis-9473	6	26	capabilities	capability	NOUN
fcis-9473	6	27	.	.	PUNCT
fcis-9473	7	1	3	3	X
fcis-9473	7	2	.	.	X
fcis-9473	7	3	introducing	introduce	VERB
fcis-9473	7	4	swin	swin	PROPN
fcis-9473	7	5	-	-	PUNCT
fcis-9473	7	6	transformer	transformer	NOUN
fcis-9473	7	7	network	network	NOUN
fcis-9473	7	8	structure	structure	NOUN
fcis-9473	7	9	in	in	ADP
fcis-9473	7	10	the	the	DET
fcis-9473	7	11	process	process	NOUN
fcis-9473	7	12	of	of	ADP
fcis-9473	7	13	feature	feature	NOUN
fcis-9473	7	14	fusion	fusion	NOUN
fcis-9473	7	15	,	,	PUNCT
fcis-9473	7	16	further	far	ADV
fcis-9473	7	17	enhancing	enhance	VERB
fcis-9473	7	18	the	the	DET
fcis-9473	7	19	semantic	semantic	ADJ
fcis-9473	7	20	information	information	NOUN
fcis-9473	7	21	and	and	CCONJ
fcis-9473	7	22	global	global	ADJ
fcis-9473	7	23	perception	perception	NOUN
fcis-9473	7	24	of	of	ADP
fcis-9473	7	25	small	small	ADJ
fcis-9473	7	26	targets	target	NOUN
fcis-9473	7	27	.	.	PUNCT
fcis-9473	8	1	it	it	PRON
fcis-9473	8	2	can	can	AUX
fcis-9473	8	3	be	be	AUX
fcis-9473	8	4	seen	see	VERB
fcis-9473	8	5	from	from	ADP
fcis-9473	8	6	the	the	DET
fcis-9473	8	7	ablation	ablation	NOUN
fcis-9473	8	8	experiment	experiment	NOUN
fcis-9473	8	9	analysis	analysis	NOUN
fcis-9473	8	10	that	that	SCONJ
fcis-9473	8	11	the	the	DET
fcis-9473	8	12	map0.5:0.5	map0.5:0.5	NOUN
fcis-9473	8	13	of	of	ADP
fcis-9473	8	14	the	the	DET
fcis-9473	8	15	proposed	propose	VERB
fcis-9473	8	16	algorithm	algorithm	NOUN
fcis-9473	8	17	has	have	AUX
fcis-9473	8	18	increased	increase	VERB
fcis-9473	8	19	by	by	ADP
fcis-9473	8	20	7.6	7.6	NUM
fcis-9473	8	21	%	%	NOUN
fcis-9473	8	22	compared	compare	VERB
fcis-9473	8	23	with	with	ADP
fcis-9473	8	24	the	the	DET
fcis-9473	8	25	original	original	ADJ
fcis-9473	8	26	yolov5s	yolov5s	PROPN
fcis-9473	8	27	.	.	PUNCT
fcis-9473	9	1	at	at	ADP
fcis-9473	9	2	the	the	DET
fcis-9473	9	3	same	same	ADJ
fcis-9473	9	4	time	time	NOUN
fcis-9473	9	5	,	,	PUNCT
fcis-9473	9	6	the	the	DET
fcis-9473	9	7	performance	performance	NOUN
fcis-9473	9	8	comparison	comparison	NOUN
fcis-9473	9	9	experiment	experiment	NOUN
fcis-9473	9	10	validated	validate	VERB
fcis-9473	9	11	that	that	SCONJ
fcis-9473	9	12	the	the	DET
fcis-9473	9	13	detection	detection	NOUN
fcis-9473	9	14	accuracy	accuracy	NOUN
fcis-9473	9	15	of	of	ADP
fcis-9473	9	16	the	the	DET
fcis-9473	9	17	proposed	propose	VERB
fcis-9473	9	18	algorithm	algorithm	NOUN
fcis-9473	9	19	achieved	achieve	VERB
fcis-9473	9	20	better	well	ADJ
fcis-9473	9	21	performance	performance	NOUN
fcis-9473	9	22	with	with	ADP
fcis-9473	9	23	little	little	ADJ
fcis-9473	9	24	sacrifice	sacrifice	NOUN
fcis-9473	9	25	in	in	ADP
fcis-9473	9	26	detection	detection	NOUN
fcis-9473	9	27	speed	speed	NOUN
fcis-9473	9	28	.	.	PUNCT
fcis-9473	10	1	keywords	keyword	NOUN
fcis-9473	10	2	:	:	PUNCT
fcis-9473	10	3	object	object	VERB
fcis-9473	10	4	detection	detection	NOUN
fcis-9473	10	5	;	;	PUNCT
fcis-9473	10	6	attention	attention	NOUN
fcis-9473	10	7	mechanism	mechanism	NOUN
fcis-9473	10	8	;	;	PUNCT
fcis-9473	10	9	multi	multi	ADJ
fcis-9473	10	10	-	-	ADJ
fcis-9473	10	11	scale	scale	ADJ
fcis-9473	10	12	feature	feature	NOUN
fcis-9473	10	13	fusion	fusion	NOUN
fcis-9473	10	14	;	;	PUNCT
fcis-9473	10	15	transmission	transmission	NOUN
fcis-9473	10	16	line	line	NOUN
fcis-9473	10	17	ice	ice	NOUN
fcis-9473	10	18	accretion	accretion	NOUN
fcis-9473	10	19	.	.	PUNCT
fcis-9473	11	1	1	1	X
fcis-9473	11	2	.	.	X
fcis-9473	11	3	introduction	introduction	NOUN
fcis-9473	11	4	transmission	transmission	NOUN
fcis-9473	11	5	lines	line	NOUN
fcis-9473	11	6	at	at	ADP
fcis-9473	11	7	high	high	ADJ
fcis-9473	11	8	altitudes	altitude	NOUN
fcis-9473	11	9	are	be	AUX
fcis-9473	11	10	prone	prone	ADJ
fcis-9473	11	11	to	to	ADP
fcis-9473	11	12	ice	ice	NOUN
fcis-9473	11	13	accretion	accretion	NOUN
fcis-9473	11	14	during	during	ADP
fcis-9473	11	15	winter	winter	NOUN
fcis-9473	11	16	,	,	PUNCT
fcis-9473	11	17	especially	especially	ADV
fcis-9473	11	18	in	in	ADP
fcis-9473	11	19	areas	area	NOUN
fcis-9473	11	20	with	with	ADP
fcis-9473	11	21	low	low	ADJ
fcis-9473	11	22	temperatures	temperature	NOUN
fcis-9473	11	23	and	and	CCONJ
fcis-9473	11	24	high	high	ADJ
fcis-9473	11	25	humidity	humidity	NOUN
fcis-9473	11	26	.	.	PUNCT
fcis-9473	12	1	ice	ice	NOUN
fcis-9473	12	2	accretion	accretion	NOUN
fcis-9473	12	3	on	on	ADP
fcis-9473	12	4	transmission	transmission	NOUN
fcis-9473	12	5	lines	line	NOUN
fcis-9473	12	6	and	and	CCONJ
fcis-9473	12	7	electrical	electrical	ADJ
fcis-9473	12	8	towers	tower	NOUN
fcis-9473	12	9	leads	lead	VERB
fcis-9473	12	10	to	to	ADP
fcis-9473	12	11	a	a	DET
fcis-9473	12	12	significant	significant	ADJ
fcis-9473	12	13	reduction	reduction	NOUN
fcis-9473	12	14	in	in	ADP
fcis-9473	12	15	the	the	DET
fcis-9473	12	16	insulation	insulation	NOUN
fcis-9473	12	17	performance	performance	NOUN
fcis-9473	12	18	of	of	ADP
fcis-9473	12	19	electrical	electrical	ADJ
fcis-9473	12	20	equipment	equipment	NOUN
fcis-9473	12	21	.	.	PUNCT
fcis-9473	13	1	if	if	SCONJ
fcis-9473	13	2	the	the	DET
fcis-9473	13	3	ice	ice	NOUN
fcis-9473	13	4	accumulation	accumulation	NOUN
fcis-9473	13	5	exceeds	exceed	VERB
fcis-9473	13	6	the	the	DET
fcis-9473	13	7	designed	design	VERB
fcis-9473	13	8	anti	anti	ADJ
fcis-9473	13	9	-	-	ADJ
fcis-9473	13	10	icing	icing	ADJ
fcis-9473	13	11	capability	capability	NOUN
fcis-9473	13	12	,	,	PUNCT
fcis-9473	13	13	it	it	PRON
fcis-9473	13	14	may	may	AUX
fcis-9473	13	15	cause	cause	VERB
fcis-9473	13	16	accidents	accident	NOUN
fcis-9473	13	17	such	such	ADJ
fcis-9473	13	18	as	as	ADP
fcis-9473	13	19	line	line	NOUN
fcis-9473	13	20	overloads	overload	NOUN
fcis-9473	13	21	,	,	PUNCT
fcis-9473	13	22	broken	broken	ADJ
fcis-9473	13	23	wires	wire	NOUN
fcis-9473	13	24	,	,	PUNCT
fcis-9473	13	25	and	and	CCONJ
fcis-9473	13	26	tripping	trip	VERB
fcis-9473	13	27	[	[	X
fcis-9473	13	28	1	1	NUM
fcis-9473	13	29	]	]	PUNCT
fcis-9473	13	30	.	.	PUNCT
fcis-9473	14	1	in	in	ADP
fcis-9473	14	2	recent	recent	ADJ
fcis-9473	14	3	years	year	NOUN
fcis-9473	14	4	,	,	PUNCT
fcis-9473	14	5	the	the	DET
fcis-9473	14	6	state	state	NOUN
fcis-9473	14	7	grid	grid	NOUN
fcis-9473	14	8	has	have	AUX
fcis-9473	14	9	established	establish	VERB
fcis-9473	14	10	an	an	DET
fcis-9473	14	11	ice	ice	NOUN
fcis-9473	14	12	accretion	accretion	NOUN
fcis-9473	14	13	monitoring	monitor	VERB
fcis-9473	14	14	system	system	NOUN
fcis-9473	14	15	for	for	ADP
fcis-9473	14	16	transmission	transmission	NOUN
fcis-9473	14	17	lines	line	NOUN
fcis-9473	14	18	[	[	X
fcis-9473	14	19	1	1	NUM
fcis-9473	14	20	-	-	SYM
fcis-9473	14	21	5	5	NUM
fcis-9473	14	22	]	]	PUNCT
fcis-9473	14	23	.	.	PUNCT
fcis-9473	15	1	image	image	NOUN
fcis-9473	15	2	monitoring	monitoring	NOUN
fcis-9473	15	3	generally	generally	ADV
fcis-9473	15	4	includes	include	VERB
fcis-9473	15	5	long	long	ADJ
fcis-9473	15	6	-	-	PUNCT
fcis-9473	15	7	distance	distance	NOUN
fcis-9473	15	8	line	line	NOUN
fcis-9473	15	9	inspection	inspection	NOUN
fcis-9473	15	10	conducted	conduct	VERB
fcis-9473	15	11	by	by	ADP
fcis-9473	15	12	workers	worker	NOUN
fcis-9473	15	13	,	,	PUNCT
fcis-9473	15	14	drone	drone	NOUN
fcis-9473	15	15	inspections	inspection	NOUN
fcis-9473	15	16	,	,	PUNCT
fcis-9473	15	17	and	and	CCONJ
fcis-9473	15	18	the	the	DET
fcis-9473	15	19	use	use	NOUN
fcis-9473	15	20	of	of	ADP
fcis-9473	15	21	fixed	fix	VERB
fcis-9473	15	22	industrial	industrial	ADJ
fcis-9473	15	23	cameras	camera	NOUN
fcis-9473	15	24	installed	instal	VERB
fcis-9473	15	25	at	at	ADP
fcis-9473	15	26	specific	specific	ADJ
fcis-9473	15	27	locations	location	NOUN
fcis-9473	15	28	.	.	PUNCT
fcis-9473	16	1	remote	remote	ADJ
fcis-9473	16	2	collection	collection	NOUN
fcis-9473	16	3	of	of	ADP
fcis-9473	16	4	on	on	ADP
fcis-9473	16	5	-	-	PUNCT
fcis-9473	16	6	site	site	NOUN
fcis-9473	16	7	images	image	NOUN
fcis-9473	16	8	is	be	AUX
fcis-9473	16	9	then	then	ADV
fcis-9473	16	10	performed	perform	VERB
fcis-9473	16	11	through	through	ADP
fcis-9473	16	12	network	network	NOUN
fcis-9473	16	13	transportation	transportation	NOUN
fcis-9473	16	14	.	.	PUNCT
fcis-9473	17	1	image	image	NOUN
fcis-9473	17	2	monitoring	monitoring	NOUN
fcis-9473	17	3	eliminates	eliminate	VERB
fcis-9473	17	4	the	the	DET
fcis-9473	17	5	risks	risk	NOUN
fcis-9473	17	6	associated	associate	VERB
fcis-9473	17	7	with	with	ADP
fcis-9473	17	8	manual	manual	ADJ
fcis-9473	17	9	inspections	inspection	NOUN
fcis-9473	17	10	to	to	ADP
fcis-9473	17	11	some	some	DET
fcis-9473	17	12	extent	extent	NOUN
fcis-9473	17	13	while	while	SCONJ
fcis-9473	17	14	providing	provide	VERB
fcis-9473	17	15	rich	rich	ADJ
fcis-9473	17	16	data	datum	NOUN
fcis-9473	17	17	support	support	NOUN
fcis-9473	17	18	for	for	ADP
fcis-9473	17	19	image	image	NOUN
fcis-9473	17	20	analysis	analysis	NOUN
fcis-9473	17	21	[	[	X
fcis-9473	17	22	6	6	NUM
fcis-9473	17	23	]	]	PUNCT
fcis-9473	17	24	.	.	PUNCT
fcis-9473	18	1	currently	currently	ADV
fcis-9473	18	2	,	,	PUNCT
fcis-9473	18	3	ice	ice	NOUN
fcis-9473	18	4	accretion	accretion	NOUN
fcis-9473	18	5	monitoring	monitor	VERB
fcis-9473	18	6	research	research	NOUN
fcis-9473	18	7	can	can	AUX
fcis-9473	18	8	be	be	AUX
fcis-9473	18	9	divided	divide	VERB
fcis-9473	18	10	into	into	ADP
fcis-9473	18	11	three	three	NUM
fcis-9473	18	12	categories	category	NOUN
fcis-9473	18	13	:	:	PUNCT
fcis-9473	18	14	mechanical	mechanical	ADJ
fcis-9473	18	15	methods	method	NOUN
fcis-9473	18	16	,	,	PUNCT
fcis-9473	18	17	traditional	traditional	ADJ
fcis-9473	18	18	image	image	NOUN
fcis-9473	18	19	processing	processing	NOUN
fcis-9473	18	20	techniques	technique	NOUN
fcis-9473	18	21	,	,	PUNCT
fcis-9473	18	22	and	and	CCONJ
fcis-9473	18	23	deep	deep	ADJ
fcis-9473	18	24	learning	learning	NOUN
fcis-9473	18	25	-	-	PUNCT
fcis-9473	18	26	based	base	VERB
fcis-9473	18	27	image	image	NOUN
fcis-9473	18	28	detection	detection	NOUN
fcis-9473	18	29	and	and	CCONJ
fcis-9473	18	30	segmentation	segmentation	NOUN
fcis-9473	18	31	.	.	PUNCT
fcis-9473	19	1	ice	ice	NOUN
fcis-9473	19	2	accretion	accretion	NOUN
fcis-9473	19	3	detection	detection	NOUN
fcis-9473	19	4	on	on	ADP
fcis-9473	19	5	transmission	transmission	NOUN
fcis-9473	19	6	lines	line	NOUN
fcis-9473	19	7	is	be	AUX
fcis-9473	19	8	one	one	NUM
fcis-9473	19	9	of	of	ADP
fcis-9473	19	10	the	the	DET
fcis-9473	19	11	important	important	ADJ
fcis-9473	19	12	research	research	NOUN
fcis-9473	19	13	directions	direction	NOUN
fcis-9473	19	14	for	for	ADP
fcis-9473	19	15	the	the	DET
fcis-9473	19	16	state	state	NOUN
fcis-9473	19	17	grid	grid	NOUN
fcis-9473	19	18	company	company	NOUN
fcis-9473	19	19	.	.	PUNCT
fcis-9473	20	1	after	after	ADP
fcis-9473	20	2	years	year	NOUN
fcis-9473	20	3	of	of	ADP
fcis-9473	20	4	domestic	domestic	ADJ
fcis-9473	20	5	and	and	CCONJ
fcis-9473	20	6	international	international	ADJ
fcis-9473	20	7	research	research	NOUN
fcis-9473	20	8	,	,	PUNCT
fcis-9473	20	9	it	it	PRON
fcis-9473	20	10	has	have	AUX
fcis-9473	20	11	been	be	AUX
fcis-9473	20	12	found	find	VERB
fcis-9473	20	13	that	that	SCONJ
fcis-9473	20	14	utilizing	utilize	VERB
fcis-9473	20	15	image	image	NOUN
fcis-9473	20	16	processing	processing	NOUN
fcis-9473	20	17	technology	technology	NOUN
fcis-9473	20	18	for	for	ADP
fcis-9473	20	19	ice	ice	NOUN
fcis-9473	20	20	accretion	accretion	NOUN
fcis-9473	20	21	detection	detection	NOUN
fcis-9473	20	22	on	on	ADP
fcis-9473	20	23	transmission	transmission	NOUN
fcis-9473	20	24	lines	line	NOUN
fcis-9473	20	25	is	be	AUX
fcis-9473	20	26	a	a	DET
fcis-9473	20	27	more	more	ADV
fcis-9473	20	28	intuitive	intuitive	ADJ
fcis-9473	20	29	and	and	CCONJ
fcis-9473	20	30	reliable	reliable	ADJ
fcis-9473	20	31	method	method	NOUN
fcis-9473	20	32	compared	compare	VERB
fcis-9473	20	33	to	to	ADP
fcis-9473	20	34	other	other	ADJ
fcis-9473	20	35	approaches	approach	NOUN
fcis-9473	20	36	.	.	PUNCT
fcis-9473	21	1	however	however	ADV
fcis-9473	21	2	,	,	PUNCT
fcis-9473	21	3	this	this	DET
fcis-9473	21	4	method	method	NOUN
fcis-9473	21	5	also	also	ADV
fcis-9473	21	6	faces	face	VERB
fcis-9473	21	7	many	many	ADJ
fcis-9473	21	8	practical	practical	ADJ
fcis-9473	21	9	challenges	challenge	NOUN
fcis-9473	21	10	.	.	PUNCT
fcis-9473	22	1	first	first	ADJ
fcis-9473	22	2	,	,	PUNCT
fcis-9473	22	3	long	long	ADJ
fcis-9473	22	4	-	-	PUNCT
fcis-9473	22	5	distance	distance	NOUN
fcis-9473	22	6	aerial	aerial	ADJ
fcis-9473	22	7	photography	photography	NOUN
fcis-9473	22	8	results	result	VERB
fcis-9473	22	9	in	in	ADP
fcis-9473	22	10	small	small	ADJ
fcis-9473	22	11	proportions	proportion	NOUN
fcis-9473	22	12	of	of	ADP
fcis-9473	22	13	target	target	NOUN
fcis-9473	22	14	information	information	NOUN
fcis-9473	22	15	within	within	ADP
fcis-9473	22	16	the	the	DET
fcis-9473	22	17	images	image	NOUN
fcis-9473	22	18	,	,	PUNCT
fcis-9473	22	19	which	which	PRON
fcis-9473	22	20	necessitates	necessitate	VERB
fcis-9473	22	21	improvements	improvement	NOUN
fcis-9473	22	22	in	in	ADP
fcis-9473	22	23	smalltarget	smalltarget	NOUN
fcis-9473	22	24	detection	detection	NOUN
fcis-9473	22	25	capabilities	capability	NOUN
fcis-9473	22	26	.	.	PUNCT
fcis-9473	23	1	second	second	ADJ
fcis-9473	23	2	,	,	PUNCT
fcis-9473	23	3	aerial	aerial	ADJ
fcis-9473	23	4	images	image	NOUN
fcis-9473	23	5	have	have	VERB
fcis-9473	23	6	large	large	ADJ
fcis-9473	23	7	resolutions	resolution	NOUN
fcis-9473	23	8	,	,	PUNCT
fcis-9473	23	9	but	but	CCONJ
fcis-9473	23	10	most	most	ADJ
fcis-9473	23	11	object	object	NOUN
fcis-9473	23	12	detection	detection	NOUN
fcis-9473	23	13	algorithms	algorithm	NOUN
fcis-9473	23	14	have	have	VERB
fcis-9473	23	15	strict	strict	ADJ
fcis-9473	23	16	limitations	limitation	NOUN
fcis-9473	23	17	on	on	ADP
fcis-9473	23	18	input	input	NOUN
fcis-9473	23	19	resolution	resolution	NOUN
fcis-9473	23	20	values	value	NOUN
fcis-9473	23	21	.	.	PUNCT
fcis-9473	24	1	third	third	ADV
fcis-9473	24	2	,	,	PUNCT
fcis-9473	24	3	there	there	PRON
fcis-9473	24	4	are	be	VERB
fcis-9473	24	5	significant	significant	ADJ
fcis-9473	24	6	differences	difference	NOUN
fcis-9473	24	7	in	in	ADP
fcis-9473	24	8	ice	ice	NOUN
fcis-9473	24	9	accretion	accretion	NOUN
fcis-9473	24	10	equipment	equipment	NOUN
fcis-9473	24	11	's	's	PART
fcis-9473	24	12	shapes	shape	NOUN
fcis-9473	24	13	and	and	CCONJ
fcis-9473	24	14	scale	scale	NOUN
fcis-9473	24	15	features	feature	NOUN
fcis-9473	24	16	.	.	PUNCT
fcis-9473	25	1	fourth	fourth	ADJ
fcis-9473	25	2	,	,	PUNCT
fcis-9473	25	3	to	to	PART
fcis-9473	25	4	achieve	achieve	VERB
fcis-9473	25	5	a	a	DET
fcis-9473	25	6	higher	high	ADJ
fcis-9473	25	7	target	target	NOUN
fcis-9473	25	8	recognition	recognition	NOUN
fcis-9473	25	9	capability	capability	NOUN
fcis-9473	25	10	,	,	PUNCT
fcis-9473	25	11	object	object	VERB
fcis-9473	25	12	detection	detection	NOUN
fcis-9473	25	13	algorithms	algorithm	NOUN
fcis-9473	25	14	often	often	ADV
fcis-9473	25	15	have	have	VERB
fcis-9473	25	16	complex	complex	ADJ
fcis-9473	25	17	network	network	NOUN
fcis-9473	25	18	structures	structure	NOUN
fcis-9473	25	19	.	.	PUNCT
fcis-9473	26	1	this	this	PRON
fcis-9473	26	2	leads	lead	VERB
fcis-9473	26	3	to	to	ADP
fcis-9473	26	4	a	a	DET
fcis-9473	26	5	large	large	ADJ
fcis-9473	26	6	number	number	NOUN
fcis-9473	26	7	of	of	ADP
fcis-9473	26	8	parameters	parameter	NOUN
fcis-9473	26	9	and	and	CCONJ
fcis-9473	26	10	computations	computation	NOUN
fcis-9473	26	11	,	,	PUNCT
fcis-9473	26	12	as	as	ADV
fcis-9473	26	13	well	well	ADV
fcis-9473	26	14	as	as	ADP
fcis-9473	26	15	a	a	DET
fcis-9473	26	16	need	need	NOUN
fcis-9473	26	17	for	for	ADP
fcis-9473	26	18	more	more	ADV
fcis-9473	26	19	substantial	substantial	ADJ
fcis-9473	26	20	storage	storage	NOUN
fcis-9473	26	21	space	space	NOUN
fcis-9473	26	22	for	for	ADP
fcis-9473	26	23	weight	weight	NOUN
fcis-9473	26	24	files	file	NOUN
fcis-9473	26	25	after	after	ADP
fcis-9473	26	26	training	training	NOUN
fcis-9473	26	27	.	.	PUNCT
fcis-9473	27	1	this	this	PRON
fcis-9473	27	2	presents	present	VERB
fcis-9473	27	3	practical	practical	ADJ
fcis-9473	27	4	deployment	deployment	NOUN
fcis-9473	27	5	challenges	challenge	NOUN
fcis-9473	27	6	for	for	ADP
fcis-9473	27	7	embedded	embed	VERB
fcis-9473	27	8	devices	device	NOUN
fcis-9473	27	9	and	and	CCONJ
fcis-9473	27	10	other	other	ADJ
fcis-9473	27	11	devices	device	NOUN
fcis-9473	27	12	with	with	ADP
fcis-9473	27	13	limited	limited	ADJ
fcis-9473	27	14	storage	storage	NOUN
fcis-9473	27	15	and	and	CCONJ
fcis-9473	27	16	computational	computational	ADJ
fcis-9473	27	17	capabilities	capability	NOUN
fcis-9473	27	18	.	.	PUNCT
fcis-9473	28	1	based	base	VERB
fcis-9473	28	2	on	on	ADP
fcis-9473	28	3	these	these	DET
fcis-9473	28	4	considerations	consideration	NOUN
fcis-9473	28	5	,	,	PUNCT
fcis-9473	28	6	the	the	DET
fcis-9473	28	7	main	main	ADJ
fcis-9473	28	8	tasks	task	NOUN
fcis-9473	28	9	of	of	ADP
fcis-9473	28	10	this	this	DET
fcis-9473	28	11	study	study	NOUN
fcis-9473	28	12	are	be	AUX
fcis-9473	28	13	as	as	SCONJ
fcis-9473	28	14	follows	follow	VERB
fcis-9473	28	15	:	:	PUNCT
fcis-9473	28	16	first	first	ADV
fcis-9473	28	17	,	,	PUNCT
fcis-9473	28	18	we	we	PRON
fcis-9473	28	19	construct	construct	VERB
fcis-9473	28	20	a	a	DET
fcis-9473	28	21	dataset	dataset	NOUN
fcis-9473	28	22	based	base	VERB
fcis-9473	28	23	on	on	ADP
fcis-9473	28	24	the	the	DET
fcis-9473	28	25	on	on	ADP
fcis-9473	28	26	-	-	PUNCT
fcis-9473	28	27	site	site	NOUN
fcis-9473	28	28	inspection	inspection	NOUN
fcis-9473	28	29	images	image	NOUN
fcis-9473	28	30	of	of	ADP
fcis-9473	28	31	transmission	transmission	NOUN
fcis-9473	28	32	lines	line	NOUN
fcis-9473	28	33	provided	provide	VERB
fcis-9473	28	34	by	by	ADP
fcis-9473	28	35	shanxi	shanxi	PROPN
fcis-9473	28	36	power	power	PROPN
fcis-9473	28	37	company	company	PROPN
fcis-9473	28	38	and	and	CCONJ
fcis-9473	28	39	a	a	DET
fcis-9473	28	40	set	set	NOUN
fcis-9473	28	41	of	of	ADP
fcis-9473	28	42	ice	ice	NOUN
fcis-9473	28	43	accretion	accretion	NOUN
fcis-9473	28	44	images	image	NOUN
fcis-9473	28	45	collected	collect	VERB
fcis-9473	28	46	by	by	ADP
fcis-9473	28	47	the	the	DET
fcis-9473	28	48	micro	micro	ADJ
fcis-9473	28	49	-	-	ADJ
fcis-9473	28	50	meteorological	meteorological	ADJ
fcis-9473	28	51	laboratory	laboratory	NOUN
fcis-9473	28	52	.	.	PUNCT
fcis-9473	29	1	through	through	ADP
fcis-9473	29	2	image	image	NOUN
fcis-9473	29	3	screening	screening	NOUN
fcis-9473	29	4	,	,	PUNCT
fcis-9473	29	5	image	image	NOUN
fcis-9473	29	6	enhancement	enhancement	NOUN
fcis-9473	29	7	,	,	PUNCT
fcis-9473	29	8	sliding	slide	VERB
fcis-9473	29	9	window	window	NOUN
fcis-9473	29	10	segmentation	segmentation	NOUN
fcis-9473	29	11	,	,	PUNCT
fcis-9473	29	12	and	and	CCONJ
fcis-9473	29	13	image	image	NOUN
fcis-9473	29	14	annotation	annotation	NOUN
fcis-9473	29	15	,	,	PUNCT
fcis-9473	29	16	we	we	PRON
fcis-9473	29	17	create	create	VERB
fcis-9473	29	18	a	a	DET
fcis-9473	29	19	comprehensive	comprehensive	ADJ
fcis-9473	29	20	dataset	dataset	NOUN
fcis-9473	29	21	.	.	PUNCT
fcis-9473	30	1	next	next	ADV
fcis-9473	30	2	,	,	PUNCT
fcis-9473	30	3	based	base	VERB
fcis-9473	30	4	on	on	ADP
fcis-9473	30	5	the	the	DET
fcis-9473	30	6	lightweight	lightweight	ADJ
fcis-9473	30	7	yolo	yolo	PROPN
fcis-9473	30	8	-	-	PUNCT
fcis-9473	30	9	v5s	v5s	PROPN
fcis-9473	30	10	model	model	NOUN
fcis-9473	30	11	,	,	PUNCT
fcis-9473	30	12	we	we	PRON
fcis-9473	30	13	replace	replace	VERB
fcis-9473	30	14	the	the	DET
fcis-9473	30	15	sppf	sppf	ADJ
fcis-9473	30	16	module	module	NOUN
fcis-9473	30	17	in	in	ADP
fcis-9473	30	18	the	the	DET
fcis-9473	30	19	backbone	backbone	NOUN
fcis-9473	30	20	network	network	NOUN
fcis-9473	30	21	with	with	ADP
fcis-9473	30	22	the	the	DET
fcis-9473	30	23	aspp	aspp	NOUN
fcis-9473	30	24	module	module	NOUN
fcis-9473	30	25	,	,	PUNCT
fcis-9473	30	26	incorporating	incorporate	VERB
fcis-9473	30	27	the	the	DET
fcis-9473	30	28	concept	concept	NOUN
fcis-9473	30	29	of	of	ADP
fcis-9473	30	30	atrous	atrous	ADJ
fcis-9473	30	31	convolution	convolution	NOUN
fcis-9473	30	32	in	in	ADP
fcis-9473	30	33	the	the	DET
fcis-9473	30	34	spatial	spatial	ADJ
fcis-9473	30	35	pyramid	pyramid	NOUN
fcis-9473	30	36	pooling	pool	VERB
fcis-9473	30	37	structure	structure	NOUN
fcis-9473	30	38	.	.	PUNCT
fcis-9473	31	1	this	this	PRON
fcis-9473	31	2	ensures	ensure	VERB
fcis-9473	31	3	that	that	SCONJ
fcis-9473	31	4	the	the	DET
fcis-9473	31	5	receptive	receptive	ADJ
fcis-9473	31	6	field	field	NOUN
fcis-9473	31	7	is	be	AUX
fcis-9473	31	8	increased	increase	VERB
fcis-9473	31	9	without	without	ADP
fcis-9473	31	10	causing	cause	VERB
fcis-9473	31	11	a	a	DET
fcis-9473	31	12	reduction	reduction	NOUN
fcis-9473	31	13	in	in	ADP
fcis-9473	31	14	resolution	resolution	NOUN
fcis-9473	31	15	.	.	PUNCT
fcis-9473	32	1	subsequently	subsequently	ADV
fcis-9473	32	2	,	,	PUNCT
fcis-9473	32	3	we	we	PRON
fcis-9473	32	4	incorporate	incorporate	VERB
fcis-9473	32	5	a	a	DET
fcis-9473	32	6	streamlined	streamlined	ADJ
fcis-9473	32	7	and	and	CCONJ
fcis-9473	32	8	efficient	efficient	ADJ
fcis-9473	32	9	bifpn	bifpn	NOUN
fcis-9473	33	1	[	[	X
fcis-9473	33	2	8	8	NUM
fcis-9473	33	3	]	]	X
fcis-9473	33	4	multi	multi	ADJ
fcis-9473	33	5	-	-	ADJ
fcis-9473	33	6	scale	scale	ADJ
fcis-9473	33	7	feature	feature	NOUN
fcis-9473	33	8	fusion	fusion	NOUN
fcis-9473	33	9	network	network	NOUN
fcis-9473	33	10	,	,	PUNCT
fcis-9473	33	11	built	build	VERB
fcis-9473	33	12	upon	upon	SCONJ
fcis-9473	33	13	fpn	fpn	VERB
fcis-9473	33	14	[	[	X
fcis-9473	33	15	7	7	NUM
fcis-9473	33	16	]	]	PUNCT
fcis-9473	33	17	,	,	PUNCT
fcis-9473	33	18	enabling	enable	VERB
fcis-9473	33	19	effective	effective	ADJ
fcis-9473	33	20	cross	cross	ADJ
fcis-9473	33	21	-	-	ADJ
fcis-9473	33	22	scale	scale	ADJ
fcis-9473	33	23	connections	connection	NOUN
fcis-9473	33	24	and	and	CCONJ
fcis-9473	33	25	contextual	contextual	ADJ
fcis-9473	33	26	information	information	NOUN
fcis-9473	33	27	weighting	weighting	NOUN
fcis-9473	33	28	processes	process	NOUN
fcis-9473	33	29	that	that	PRON
fcis-9473	33	30	help	help	VERB
fcis-9473	33	31	prevent	prevent	VERB
fcis-9473	33	32	the	the	DET
fcis-9473	33	33	loss	loss	NOUN
fcis-9473	33	34	of	of	ADP
fcis-9473	33	35	considerable	considerable	ADJ
fcis-9473	33	36	semantic	semantic	ADJ
fcis-9473	33	37	information	information	NOUN
fcis-9473	33	38	for	for	ADP
fcis-9473	33	39	small	small	ADJ
fcis-9473	33	40	targets	target	NOUN
fcis-9473	33	41	.	.	PUNCT
fcis-9473	34	1	finally	finally	ADV
fcis-9473	34	2	,	,	PUNCT
fcis-9473	34	3	during	during	ADP
fcis-9473	34	4	the	the	DET
fcis-9473	34	5	multi	multi	ADJ
fcis-9473	34	6	-	-	ADJ
fcis-9473	34	7	scale	scale	ADJ
fcis-9473	34	8	feature	feature	NOUN
fcis-9473	34	9	fusion	fusion	NOUN
fcis-9473	34	10	process	process	NOUN
fcis-9473	34	11	,	,	PUNCT
fcis-9473	34	12	we	we	PRON
fcis-9473	34	13	incorporate	incorporate	VERB
fcis-9473	34	14	the	the	DET
fcis-9473	34	15	c3str	c3str	PROPN
fcis-9473	34	16	(	(	PUNCT
fcis-9473	34	17	cross	cross	NOUN
fcis-9473	34	18	stage	stage	NOUN
fcis-9473	34	19	partial	partial	ADJ
fcis-9473	34	20	bottleneck	bottleneck	NOUN
fcis-9473	34	21	with	with	ADP
fcis-9473	34	22	3	3	NUM
fcis-9473	34	23	convolutions	convolution	NOUN
fcis-9473	34	24	and	and	CCONJ
fcis-9473	34	25	swin	swin	PROPN
fcis-9473	34	26	transformer	transformer	PROPN
fcis-9473	34	27	)	)	PUNCT
fcis-9473	34	28	module	module	NOUN
fcis-9473	34	29	with	with	ADP
fcis-9473	34	30	swin	swin	PROPN
fcis-9473	34	31	transformer	transformer	PROPN
fcis-9473	34	32	[	[	X
fcis-9473	34	33	9	9	NUM
fcis-9473	34	34	]	]	PUNCT
fcis-9473	34	35	network	network	NOUN
fcis-9473	34	36	characteristics	characteristic	NOUN
fcis-9473	34	37	to	to	PART
fcis-9473	34	38	enhance	enhance	VERB
fcis-9473	34	39	the	the	DET
fcis-9473	34	40	network	network	NOUN
fcis-9473	34	41	's	's	PART
fcis-9473	34	42	local	local	ADJ
fcis-9473	34	43	perception	perception	NOUN
fcis-9473	34	44	capabilities	capability	NOUN
fcis-9473	34	45	and	and	CCONJ
fcis-9473	34	46	improve	improve	VERB
fcis-9473	34	47	the	the	DET
fcis-9473	34	48	detection	detection	NOUN
fcis-9473	34	49	accuracy	accuracy	NOUN
fcis-9473	34	50	for	for	ADP
fcis-9473	34	51	small	small	ADJ
fcis-9473	34	52	-	-	PUNCT
fcis-9473	34	53	scale	scale	NOUN
fcis-9473	34	54	targets	target	NOUN
fcis-9473	34	55	.	.	PUNCT
fcis-9473	35	1	2	2	X
fcis-9473	35	2	.	.	X
fcis-9473	35	3	related	relate	VERB
fcis-9473	35	4	techniques	technique	NOUN
fcis-9473	35	5	and	and	CCONJ
fcis-9473	35	6	theories	theory	NOUN
fcis-9473	35	7	yolo	yolo	PROPN
fcis-9473	35	8	v5	v5	PROPN
fcis-9473	35	9	belongs	belong	VERB
fcis-9473	35	10	to	to	ADP
fcis-9473	35	11	the	the	DET
fcis-9473	35	12	family	family	NOUN
fcis-9473	35	13	of	of	ADP
fcis-9473	35	14	lightweight	lightweight	ADJ
fcis-9473	35	15	models	model	NOUN
fcis-9473	35	16	,	,	PUNCT
fcis-9473	35	17	98	98	NUM
fcis-9473	35	18	featuring	feature	VERB
fcis-9473	35	19	fast	fast	ADJ
fcis-9473	35	20	execution	execution	NOUN
fcis-9473	35	21	satisfying	satisfy	VERB
fcis-9473	35	22	real	real	ADJ
fcis-9473	35	23	-	-	PUNCT
fcis-9473	35	24	time	time	NOUN
fcis-9473	35	25	accurate	accurate	ADJ
fcis-9473	35	26	detection	detection	NOUN
fcis-9473	35	27	requirements	requirement	NOUN
fcis-9473	35	28	while	while	SCONJ
fcis-9473	35	29	maintaining	maintain	VERB
fcis-9473	35	30	low	low	ADJ
fcis-9473	35	31	memory	memory	NOUN
fcis-9473	35	32	occupancy	occupancy	NOUN
fcis-9473	35	33	.	.	PUNCT
fcis-9473	36	1	this	this	PRON
fcis-9473	36	2	ensures	ensure	VERB
fcis-9473	36	3	the	the	DET
fcis-9473	36	4	model	model	NOUN
fcis-9473	36	5	can	can	AUX
fcis-9473	36	6	be	be	AUX
fcis-9473	36	7	ported	port	VERB
fcis-9473	36	8	to	to	ADP
fcis-9473	36	9	mobile	mobile	ADJ
fcis-9473	36	10	devices	device	NOUN
fcis-9473	36	11	,	,	PUNCT
fcis-9473	36	12	offering	offer	VERB
fcis-9473	36	13	more	more	ADJ
fcis-9473	36	14	portable	portable	ADJ
fcis-9473	36	15	and	and	CCONJ
fcis-9473	36	16	flexible	flexible	ADJ
fcis-9473	36	17	applications	application	NOUN
fcis-9473	36	18	.	.	PUNCT
fcis-9473	37	1	yolo	yolo	PROPN
fcis-9473	37	2	v5	v5	PROPN
fcis-9473	37	3	includes	include	VERB
fcis-9473	37	4	four	four	NUM
fcis-9473	37	5	models	model	NOUN
fcis-9473	37	6	:	:	PUNCT
fcis-9473	37	7	yolo	yolo	PROPN
fcis-9473	37	8	v5s	v5s	PROPN
fcis-9473	37	9	,	,	PUNCT
fcis-9473	37	10	yolo	yolo	PROPN
fcis-9473	37	11	v5	v5	PROPN
fcis-9473	37	12	m	m	PROPN
fcis-9473	37	13	,	,	PUNCT
fcis-9473	37	14	yolo	yolo	PROPN
fcis-9473	37	15	v5l	v5l	PROPN
fcis-9473	37	16	,	,	PUNCT
fcis-9473	37	17	and	and	CCONJ
fcis-9473	37	18	yolo	yolo	ADJ
fcis-9473	37	19	v5x	v5x	NOUN
fcis-9473	37	20	,	,	PUNCT
fcis-9473	37	21	with	with	ADP
fcis-9473	37	22	progressively	progressively	ADV
fcis-9473	37	23	increasing	increase	VERB
fcis-9473	37	24	network	network	NOUN
fcis-9473	37	25	width	width	NOUN
fcis-9473	37	26	and	and	CCONJ
fcis-9473	37	27	depth	depth	NOUN
fcis-9473	37	28	.	.	PUNCT
fcis-9473	38	1	in	in	ADP
fcis-9473	38	2	this	this	DET
fcis-9473	38	3	study	study	NOUN
fcis-9473	38	4	,	,	PUNCT
fcis-9473	38	5	yolo	yolo	ADJ
fcis-9473	38	6	v5s	v5s	PROPN
fcis-9473	38	7	is	be	AUX
fcis-9473	38	8	chosen	choose	VERB
fcis-9473	38	9	as	as	ADP
fcis-9473	38	10	the	the	DET
fcis-9473	38	11	base	base	NOUN
fcis-9473	38	12	model	model	NOUN
fcis-9473	38	13	.	.	PUNCT
fcis-9473	39	1	the	the	DET
fcis-9473	39	2	yolo	yolo	PROPN
fcis-9473	39	3	v5s	v5s	PROPN
fcis-9473	39	4	network	network	NOUN
fcis-9473	39	5	architecture	architecture	NOUN
fcis-9473	39	6	is	be	AUX
fcis-9473	39	7	comprised	comprise	VERB
fcis-9473	39	8	of	of	ADP
fcis-9473	39	9	input	input	NOUN
fcis-9473	39	10	,	,	PUNCT
fcis-9473	39	11	backbone	backbone	NOUN
fcis-9473	39	12	,	,	PUNCT
fcis-9473	39	13	neck	neck	NOUN
fcis-9473	39	14	,	,	PUNCT
fcis-9473	39	15	and	and	CCONJ
fcis-9473	39	16	output	output	NOUN
fcis-9473	39	17	components	component	NOUN
fcis-9473	39	18	.	.	PUNCT
fcis-9473	40	1	3	3	X
fcis-9473	40	2	.	.	NUM
fcis-9473	40	3	improved	improve	VERB
fcis-9473	40	4	ice	ice	NOUN
fcis-9473	40	5	accretion	accretion	NOUN
fcis-9473	40	6	detection	detection	NOUN
fcis-9473	40	7	on	on	ADP
fcis-9473	40	8	transmission	transmission	NOUN
fcis-9473	40	9	lines	line	NOUN
fcis-9473	40	10	using	use	VERB
fcis-9473	40	11	yolov5s	yolov5s	PROPN
fcis-9473	40	12	3.1	3.1	NUM
fcis-9473	40	13	.	.	PUNCT
fcis-9473	40	14	atrous	atrous	ADJ
fcis-9473	40	15	convolution	convolution	NOUN
fcis-9473	40	16	-	-	PUNCT
fcis-9473	40	17	based	base	VERB
fcis-9473	40	18	feature	feature	NOUN
fcis-9473	40	19	enhancement	enhancement	NOUN
fcis-9473	40	20	module	module	NOUN
fcis-9473	40	21	yolov5s	yolov5s	PROPN
fcis-9473	40	22	utilizes	utilize	VERB
fcis-9473	40	23	multi	multi	ADJ
fcis-9473	40	24	-	-	ADJ
fcis-9473	40	25	scale	scale	ADJ
fcis-9473	40	26	extraction	extraction	NOUN
fcis-9473	40	27	and	and	CCONJ
fcis-9473	40	28	bifpn	bifpn	PROPN
fcis-9473	40	29	,	,	PUNCT
fcis-9473	40	30	enriching	enrich	VERB
fcis-9473	40	31	feature	feature	NOUN
fcis-9473	40	32	map	map	NOUN
fcis-9473	40	33	information	information	NOUN
fcis-9473	40	34	.	.	PUNCT
fcis-9473	41	1	however	however	ADV
fcis-9473	41	2	,	,	PUNCT
fcis-9473	41	3	with	with	ADP
fcis-9473	41	4	varying	vary	VERB
fcis-9473	41	5	target	target	NOUN
fcis-9473	41	6	sizes	size	NOUN
fcis-9473	41	7	and	and	CCONJ
fcis-9473	41	8	complex	complex	ADJ
fcis-9473	41	9	backgrounds	background	NOUN
fcis-9473	41	10	,	,	PUNCT
fcis-9473	41	11	the	the	DET
fcis-9473	41	12	custom	custom	NOUN
fcis-9473	41	13	transmission	transmission	NOUN
fcis-9473	41	14	line	line	NOUN
fcis-9473	41	15	ice	ice	NOUN
fcis-9473	41	16	accretion	accretion	NOUN
fcis-9473	41	17	dataset	dataset	NOUN
fcis-9473	41	18	may	may	AUX
fcis-9473	41	19	result	result	VERB
fcis-9473	41	20	in	in	ADP
fcis-9473	41	21	missed	miss	VERB
fcis-9473	41	22	detections	detection	NOUN
fcis-9473	41	23	and	and	CCONJ
fcis-9473	41	24	false	false	ADJ
fcis-9473	41	25	positives	positive	NOUN
fcis-9473	41	26	.	.	PUNCT
fcis-9473	42	1	to	to	PART
fcis-9473	42	2	improve	improve	VERB
fcis-9473	42	3	performance	performance	NOUN
fcis-9473	42	4	,	,	PUNCT
fcis-9473	42	5	this	this	DET
fcis-9473	42	6	study	study	NOUN
fcis-9473	42	7	designs	design	VERB
fcis-9473	42	8	a	a	DET
fcis-9473	42	9	feature	feature	NOUN
fcis-9473	42	10	enhancement	enhancement	NOUN
fcis-9473	42	11	module	module	NOUN
fcis-9473	42	12	based	base	VERB
fcis-9473	42	13	on	on	ADP
fcis-9473	42	14	atrous	atrous	ADJ
fcis-9473	42	15	convolution	convolution	NOUN
fcis-9473	42	16	.	.	PUNCT
fcis-9473	43	1	increasing	increase	VERB
fcis-9473	43	2	the	the	DET
fcis-9473	43	3	receptive	receptive	ADJ
fcis-9473	43	4	field	field	NOUN
fcis-9473	43	5	with	with	ADP
fcis-9473	43	6	atrous	atrous	ADJ
fcis-9473	43	7	convolution	convolution	NOUN
fcis-9473	43	8	enables	enable	VERB
fcis-9473	43	9	greater	great	ADJ
fcis-9473	43	10	extraction	extraction	NOUN
fcis-9473	43	11	of	of	ADP
fcis-9473	43	12	target	target	NOUN
fcis-9473	43	13	contextual	contextual	ADJ
fcis-9473	43	14	information	information	NOUN
fcis-9473	43	15	,	,	PUNCT
fcis-9473	43	16	reducing	reduce	VERB
fcis-9473	43	17	missed	miss	VERB
fcis-9473	43	18	detections	detection	NOUN
fcis-9473	43	19	and	and	CCONJ
fcis-9473	43	20	improving	improve	VERB
fcis-9473	43	21	falsepositive	falsepositive	ADJ
fcis-9473	43	22	performance	performance	NOUN
fcis-9473	43	23	.	.	PUNCT
fcis-9473	44	1	the	the	DET
fcis-9473	44	2	proposed	propose	VERB
fcis-9473	44	3	module	module	NOUN
fcis-9473	44	4	is	be	AUX
fcis-9473	44	5	shown	show	VERB
fcis-9473	44	6	in	in	ADP
fcis-9473	44	7	figure	figure	NOUN
fcis-9473	44	8	1	1	NUM
fcis-9473	44	9	input	input	NOUN
fcis-9473	44	10	feature	feature	NOUN
fcis-9473	44	11	map	map	NOUN
fcis-9473	44	12	output	output	NOUN
fcis-9473	44	13	feature	feature	NOUN
fcis-9473	44	14	map	map	NOUN
fcis-9473	44	15	fig	fig	NOUN
fcis-9473	44	16	1	1	NUM
fcis-9473	44	17	.	.	PUNCT
fcis-9473	44	18	atrous	atrous	ADJ
fcis-9473	44	19	convolution	convolution	NOUN
fcis-9473	44	20	feature	feature	NOUN
fcis-9473	44	21	enhancement	enhancement	NOUN
fcis-9473	44	22	module	module	NOUN
fcis-9473	44	23	this	this	DET
fcis-9473	44	24	study	study	NOUN
fcis-9473	44	25	develops	develop	VERB
fcis-9473	44	26	a	a	DET
fcis-9473	44	27	four	four	NUM
fcis-9473	44	28	-	-	PUNCT
fcis-9473	44	29	stage	stage	NOUN
fcis-9473	44	30	feature	feature	NOUN
fcis-9473	44	31	enhancement	enhancement	NOUN
fcis-9473	44	32	module	module	NOUN
fcis-9473	44	33	for	for	ADP
fcis-9473	44	34	input	input	NOUN
fcis-9473	44	35	maps	map	NOUN
fcis-9473	44	36	using	use	VERB
fcis-9473	44	37	a	a	DET
fcis-9473	44	38	multi	multi	ADJ
fcis-9473	44	39	-	-	ADJ
fcis-9473	44	40	branch	branch	ADJ
fcis-9473	44	41	structure	structure	NOUN
fcis-9473	44	42	,	,	PUNCT
fcis-9473	44	43	reducing	reduce	VERB
fcis-9473	44	44	channels	channel	NOUN
fcis-9473	44	45	,	,	PUNCT
fcis-9473	44	46	enhancing	enhance	VERB
fcis-9473	44	47	non	non	ADJ
fcis-9473	44	48	-	-	ADJ
fcis-9473	44	49	linearity	linearity	ADJ
fcis-9473	44	50	,	,	PUNCT
fcis-9473	44	51	and	and	CCONJ
fcis-9473	44	52	modifying	modify	VERB
fcis-9473	44	53	dimensions	dimension	NOUN
fcis-9473	44	54	.	.	PUNCT
fcis-9473	45	1	by	by	ADP
fcis-9473	45	2	replacing	replace	VERB
fcis-9473	45	3	larger	large	ADJ
fcis-9473	45	4	kernels	kernel	NOUN
fcis-9473	45	5	with	with	ADP
fcis-9473	45	6	smaller	small	ADJ
fcis-9473	45	7	convolutions	convolution	NOUN
fcis-9473	45	8	,	,	PUNCT
fcis-9473	45	9	it	it	PRON
fcis-9473	45	10	simplifies	simplify	VERB
fcis-9473	45	11	the	the	DET
fcis-9473	45	12	model	model	NOUN
fcis-9473	45	13	and	and	CCONJ
fcis-9473	45	14	accelerates	accelerate	VERB
fcis-9473	45	15	training	training	NOUN
fcis-9473	45	16	.	.	PUNCT
fcis-9473	46	1	these	these	DET
fcis-9473	46	2	stages	stage	NOUN
fcis-9473	46	3	,	,	PUNCT
fcis-9473	46	4	along	along	ADP
fcis-9473	46	5	with	with	ADP
fcis-9473	46	6	the	the	DET
fcis-9473	46	7	residual	residual	ADJ
fcis-9473	46	8	connections	connection	NOUN
fcis-9473	46	9	,	,	PUNCT
fcis-9473	46	10	consolidate	consolidate	VERB
fcis-9473	46	11	the	the	DET
fcis-9473	46	12	model	model	NOUN
fcis-9473	46	13	's	's	PART
fcis-9473	46	14	discriminative	discriminative	NOUN
fcis-9473	46	15	power	power	NOUN
fcis-9473	46	16	and	and	CCONJ
fcis-9473	46	17	multi	multi	ADJ
fcis-9473	46	18	-	-	ADJ
fcis-9473	46	19	scale	scale	ADJ
fcis-9473	46	20	contextual	contextual	ADJ
fcis-9473	46	21	information	information	NOUN
fcis-9473	46	22	capture	capture	NOUN
fcis-9473	46	23	.	.	PUNCT
fcis-9473	47	1	the	the	DET
fcis-9473	47	2	second	second	ADJ
fcis-9473	47	3	part	part	NOUN
fcis-9473	47	4	aims	aim	VERB
fcis-9473	47	5	to	to	PART
fcis-9473	47	6	maintain	maintain	VERB
fcis-9473	47	7	feature	feature	NOUN
fcis-9473	47	8	map	map	NOUN
fcis-9473	47	9	resolution	resolution	NOUN
fcis-9473	47	10	while	while	SCONJ
fcis-9473	47	11	capturing	capture	VERB
fcis-9473	47	12	more	more	ADV
fcis-9473	47	13	extensive	extensive	ADJ
fcis-9473	47	14	contextual	contextual	ADJ
fcis-9473	47	15	information	information	NOUN
fcis-9473	47	16	using	use	VERB
fcis-9473	47	17	dilated	dilate	VERB
fcis-9473	47	18	3x3	3x3	NUM
fcis-9473	47	19	convolution	convolution	NOUN
fcis-9473	47	20	kernels	kernel	NOUN
fcis-9473	47	21	.	.	PUNCT
fcis-9473	48	1	different	different	ADJ
fcis-9473	48	2	dilation	dilation	NOUN
fcis-9473	48	3	rates	rate	NOUN
fcis-9473	48	4	provide	provide	VERB
fcis-9473	48	5	varying	vary	VERB
fcis-9473	48	6	receptive	receptive	ADJ
fcis-9473	48	7	fields	field	NOUN
fcis-9473	48	8	for	for	ADP
fcis-9473	48	9	detecting	detect	VERB
fcis-9473	48	10	varied	varied	ADJ
fcis-9473	48	11	object	object	NOUN
fcis-9473	48	12	sizes	size	NOUN
fcis-9473	48	13	.	.	PUNCT
fcis-9473	49	1	in	in	ADP
fcis-9473	49	2	the	the	DET
fcis-9473	49	3	third	third	ADJ
fcis-9473	49	4	part	part	NOUN
fcis-9473	49	5	,	,	PUNCT
fcis-9473	49	6	the	the	DET
fcis-9473	49	7	module	module	NOUN
fcis-9473	49	8	fuses	fuse	VERB
fcis-9473	49	9	multibranch	multibranch	ADJ
fcis-9473	49	10	structures	structure	NOUN
fcis-9473	49	11	along	along	ADP
fcis-9473	49	12	the	the	DET
fcis-9473	49	13	channel	channel	NOUN
fcis-9473	49	14	dimension	dimension	NOUN
fcis-9473	49	15	,	,	PUNCT
fcis-9473	49	16	leveraging	leverage	VERB
fcis-9473	49	17	the	the	DET
fcis-9473	49	18	semantic	semantic	ADJ
fcis-9473	49	19	information	information	NOUN
fcis-9473	49	20	from	from	ADP
fcis-9473	49	21	different	different	ADJ
fcis-9473	49	22	scales	scale	NOUN
fcis-9473	49	23	,	,	PUNCT
fcis-9473	49	24	which	which	PRON
fcis-9473	49	25	enhances	enhance	VERB
fcis-9473	49	26	localization	localization	NOUN
fcis-9473	49	27	and	and	CCONJ
fcis-9473	49	28	classification	classification	NOUN
fcis-9473	49	29	accuracy	accuracy	NOUN
fcis-9473	49	30	.	.	PUNCT
fcis-9473	50	1	a	a	DET
fcis-9473	50	2	1x1	1x1	NUM
fcis-9473	50	3	convolution	convolution	NOUN
fcis-9473	50	4	reduces	reduce	VERB
fcis-9473	50	5	channel	channel	NOUN
fcis-9473	50	6	dimensions	dimension	NOUN
fcis-9473	50	7	,	,	PUNCT
fcis-9473	50	8	and	and	CCONJ
fcis-9473	50	9	a	a	DET
fcis-9473	50	10	residual	residual	ADJ
fcis-9473	50	11	connection	connection	NOUN
fcis-9473	50	12	is	be	AUX
fcis-9473	50	13	added	add	VERB
fcis-9473	50	14	,	,	PUNCT
fcis-9473	50	15	keeping	keep	VERB
fcis-9473	50	16	the	the	DET
fcis-9473	50	17	channel	channel	NOUN
fcis-9473	50	18	number	number	NOUN
fcis-9473	50	19	unchanged	unchanged	ADJ
fcis-9473	50	20	.	.	PUNCT
fcis-9473	51	1	this	this	PRON
fcis-9473	51	2	facilitates	facilitate	VERB
fcis-9473	51	3	improved	improve	VERB
fcis-9473	51	4	ice	ice	NOUN
fcis-9473	51	5	accretion	accretion	NOUN
fcis-9473	51	6	detection	detection	NOUN
fcis-9473	51	7	,	,	PUNCT
fcis-9473	51	8	especially	especially	ADV
fcis-9473	51	9	regarding	regard	VERB
fcis-9473	51	10	localization	localization	NOUN
fcis-9473	51	11	and	and	CCONJ
fcis-9473	51	12	classification	classification	NOUN
fcis-9473	51	13	accuracy	accuracy	NOUN
fcis-9473	51	14	.	.	PUNCT
fcis-9473	52	1	3.2	3.2	NUM
fcis-9473	52	2	.	.	PUNCT
fcis-9473	53	1	weighted	weight	VERB
fcis-9473	53	2	bidirectional	bidirectional	ADJ
fcis-9473	53	3	feature	feature	NOUN
fcis-9473	53	4	pyramid	pyramid	NOUN
fcis-9473	53	5	network	network	PROPN
fcis-9473	53	6	(	(	PUNCT
fcis-9473	53	7	bifpn	bifpn	PROPN
fcis-9473	53	8	)	)	PUNCT
fcis-9473	53	9	model	model	NOUN
fcis-9473	53	10	this	this	DET
fcis-9473	53	11	study	study	NOUN
fcis-9473	53	12	employs	employ	VERB
fcis-9473	53	13	a	a	DET
fcis-9473	53	14	simplified	simplified	ADJ
fcis-9473	53	15	cross	cross	ADJ
fcis-9473	53	16	-	-	ADJ
fcis-9473	53	17	scale	scale	ADJ
fcis-9473	53	18	connection	connection	NOUN
fcis-9473	53	19	and	and	CCONJ
fcis-9473	53	20	contextual	contextual	ADJ
fcis-9473	53	21	information	information	NOUN
fcis-9473	53	22	weighting	weight	VERB
fcis-9473	53	23	operation	operation	NOUN
fcis-9473	53	24	in	in	ADP
fcis-9473	53	25	the	the	DET
fcis-9473	53	26	feature	feature	NOUN
fcis-9473	53	27	pyramid	pyramid	NOUN
fcis-9473	53	28	,	,	PUNCT
fcis-9473	53	29	as	as	SCONJ
fcis-9473	53	30	shown	show	VERB
fcis-9473	53	31	in	in	ADP
fcis-9473	53	32	figure	figure	NOUN
fcis-9473	53	33	2	2	NUM
fcis-9473	53	34	.	.	PUNCT
fcis-9473	54	1	the	the	DET
fcis-9473	54	2	dashed	dash	VERB
fcis-9473	54	3	outline	outline	NOUN
fcis-9473	54	4	represents	represent	VERB
fcis-9473	54	5	the	the	DET
fcis-9473	54	6	bidirectional	bidirectional	ADJ
fcis-9473	54	7	feature	feature	NOUN
fcis-9473	54	8	pyramid	pyramid	NOUN
fcis-9473	54	9	model	model	NOUN
fcis-9473	54	10	used	use	VERB
fcis-9473	54	11	in	in	ADP
fcis-9473	54	12	this	this	DET
fcis-9473	54	13	study	study	NOUN
fcis-9473	54	14	,	,	PUNCT
fcis-9473	54	15	mainly	mainly	ADV
fcis-9473	54	16	consisting	consist	VERB
fcis-9473	54	17	of	of	ADP
fcis-9473	54	18	four	four	NUM
fcis-9473	54	19	parts	part	NOUN
fcis-9473	54	20	:	:	PUNCT
fcis-9473	54	21	top	top	ADJ
fcis-9473	54	22	-	-	PUNCT
fcis-9473	54	23	down	down	ADP
fcis-9473	54	24	process	process	NOUN
fcis-9473	54	25	,	,	PUNCT
fcis-9473	54	26	cross	cross	ADJ
fcis-9473	54	27	-	-	ADJ
fcis-9473	54	28	scale	scale	ADJ
fcis-9473	54	29	connection	connection	NOUN
fcis-9473	54	30	process	process	NOUN
fcis-9473	54	31	,	,	PUNCT
fcis-9473	54	32	contextual	contextual	ADJ
fcis-9473	54	33	information	information	NOUN
fcis-9473	54	34	weighting	weighting	NOUN
fcis-9473	54	35	,	,	PUNCT
fcis-9473	54	36	and	and	CCONJ
fcis-9473	54	37	bottom	bottom	ADJ
fcis-9473	54	38	-	-	PUNCT
fcis-9473	54	39	up	up	ADP
fcis-9473	54	40	process	process	NOUN
fcis-9473	54	41	.	.	PUNCT
fcis-9473	55	1	fig	fig	NOUN
fcis-9473	55	2	2	2	NUM
fcis-9473	55	3	.	.	PUNCT
fcis-9473	55	4	weighted	weight	VERB
fcis-9473	55	5	bidirectional	bidirectional	ADJ
fcis-9473	55	6	feature	feature	NOUN
fcis-9473	55	7	pyramid	pyramid	NOUN
fcis-9473	55	8	network	network	NOUN
fcis-9473	55	9	model	model	NOUN
fcis-9473	55	10	the	the	DET
fcis-9473	55	11	model	model	NOUN
fcis-9473	55	12	involves	involve	VERB
fcis-9473	55	13	the	the	DET
fcis-9473	55	14	following	follow	VERB
fcis-9473	55	15	steps	step	NOUN
fcis-9473	55	16	:	:	PUNCT
fcis-9473	55	17	first	first	ADV
fcis-9473	55	18	,	,	PUNCT
fcis-9473	55	19	input	input	VERB
fcis-9473	55	20	a	a	DET
fcis-9473	55	21	pixel	pixel	NOUN
fcis-9473	55	22	value	value	NOUN
fcis-9473	55	23	of	of	ADP
fcis-9473	55	24	,	,	PUNCT
fcis-9473	55	25	and	and	CCONJ
fcis-9473	55	26	obtain	obtain	VERB
fcis-9473	55	27	different	different	ADJ
fcis-9473	55	28	-	-	PUNCT
fcis-9473	55	29	sized	sized	ADJ
fcis-9473	55	30	feature	feature	NOUN
fcis-9473	55	31	maps	map	NOUN
fcis-9473	55	32	c1	c1	PROPN
fcis-9473	55	33	,	,	PUNCT
fcis-9473	55	34	c2	c2	PROPN
fcis-9473	55	35	,	,	PUNCT
fcis-9473	55	36	c3	c3	PROPN
fcis-9473	55	37	,	,	PUNCT
fcis-9473	55	38	c4	c4	NOUN
fcis-9473	55	39	,	,	PUNCT
fcis-9473	55	40	c5	c5	PROPN
fcis-9473	55	41	through	through	ADP
fcis-9473	55	42	multiple	multiple	ADJ
fcis-9473	55	43	convolutional	convolutional	ADJ
fcis-9473	55	44	downsampling	downsample	VERB
fcis-9473	55	45	operations	operation	NOUN
fcis-9473	55	46	,	,	PUNCT
fcis-9473	55	47	retaining	retain	VERB
fcis-9473	55	48	the	the	DET
fcis-9473	55	49	last	last	ADJ
fcis-9473	55	50	three	three	NUM
fcis-9473	55	51	layers	layer	NOUN
fcis-9473	55	52	for	for	ADP
fcis-9473	55	53	model	model	NOUN
fcis-9473	55	54	construction	construction	NOUN
fcis-9473	55	55	.	.	PUNCT
fcis-9473	56	1	next	next	ADV
fcis-9473	56	2	,	,	PUNCT
fcis-9473	56	3	perform	perform	VERB
fcis-9473	56	4	top	top	ADJ
fcis-9473	56	5	-	-	PUNCT
fcis-9473	56	6	down	down	NOUN
fcis-9473	56	7	processing	processing	NOUN
fcis-9473	56	8	by	by	ADP
fcis-9473	56	9	reducing	reduce	VERB
fcis-9473	56	10	the	the	DET
fcis-9473	56	11	dimensionality	dimensionality	NOUN
fcis-9473	56	12	of	of	ADP
fcis-9473	56	13	feature	feature	NOUN
fcis-9473	56	14	map	map	NOUN
fcis-9473	56	15	c5	c5	PROPN
fcis-9473	56	16	using	use	VERB
fcis-9473	56	17	1x1	1x1	NUM
fcis-9473	56	18	convolutions	convolution	NOUN
fcis-9473	56	19	,	,	PUNCT
fcis-9473	56	20	and	and	CCONJ
fcis-9473	56	21	obtain	obtain	VERB
fcis-9473	56	22	feature	feature	NOUN
fcis-9473	56	23	map	map	NOUN
fcis-9473	56	24	p5	p5	PROPN
fcis-9473	56	25	.	.	PUNCT
fcis-9473	57	1	then	then	ADV
fcis-9473	57	2	,	,	PUNCT
fcis-9473	57	3	upsample	upsample	VERB
fcis-9473	57	4	p5	p5	ADJ
fcis-9473	57	5	and	and	CCONJ
fcis-9473	57	6	fuse	fuse	VERB
fcis-9473	57	7	it	it	PRON
fcis-9473	57	8	with	with	ADP
fcis-9473	57	9	c4	c4	NOUN
fcis-9473	57	10	,	,	PUNCT
fcis-9473	57	11	extracting	extract	VERB
fcis-9473	57	12	cross	cross	ADJ
fcis-9473	57	13	-	-	ADJ
fcis-9473	57	14	stage	stage	ADJ
fcis-9473	57	15	local	local	ADJ
fcis-9473	57	16	network	network	NOUN
fcis-9473	57	17	features	feature	VERB
fcis-9473	57	18	to	to	PART
fcis-9473	57	19	get	get	VERB
fcis-9473	57	20	p4	p4	ADJ
fcis-9473	57	21	.	.	PUNCT
fcis-9473	58	1	upsample	upsample	PROPN
fcis-9473	58	2	p4	p4	ADJ
fcis-9473	58	3	,	,	PUNCT
fcis-9473	58	4	and	and	CCONJ
fcis-9473	58	5	fuse	fuse	VERB
fcis-9473	58	6	it	it	PRON
fcis-9473	58	7	with	with	ADP
fcis-9473	58	8	c3	c3	PROPN
fcis-9473	58	9	to	to	PART
fcis-9473	58	10	obtain	obtain	VERB
fcis-9473	58	11	p3	p3	NOUN
fcis-9473	58	12	.	.	PUNCT
fcis-9473	59	1	use	use	VERB
fcis-9473	59	2	convolutions	convolution	NOUN
fcis-9473	59	3	to	to	PART
fcis-9473	59	4	achieve	achieve	VERB
fcis-9473	59	5	cross	cross	ADJ
fcis-9473	59	6	-	-	ADJ
fcis-9473	59	7	scale	scale	ADJ
fcis-9473	59	8	connectivity	connectivity	NOUN
fcis-9473	59	9	between	between	ADP
fcis-9473	59	10	feature	feature	NOUN
fcis-9473	59	11	maps	map	NOUN
fcis-9473	59	12	p4	p4	ADJ
fcis-9473	59	13	and	and	CCONJ
fcis-9473	59	14	p5	p5	ADJ
fcis-9473	59	15	,	,	PUNCT
fcis-9473	59	16	selecting	select	VERB
fcis-9473	59	17	m4	m4	PROPN
fcis-9473	59	18	as	as	ADP
fcis-9473	59	19	their	their	PRON
fcis-9473	59	20	feature	feature	NOUN
fcis-9473	59	21	map	map	NOUN
fcis-9473	59	22	.	.	PUNCT
fcis-9473	60	1	assign	assign	VERB
fcis-9473	60	2	different	different	ADJ
fcis-9473	60	3	weight	weight	NOUN
fcis-9473	60	4	information	information	NOUN
fcis-9473	60	5	to	to	PART
fcis-9473	60	6	input	input	VERB
fcis-9473	60	7	streams	stream	NOUN
fcis-9473	60	8	n3	n3	PROPN
fcis-9473	60	9	,	,	PUNCT
fcis-9473	60	10	n4	n4	PROPN
fcis-9473	60	11	,	,	PUNCT
fcis-9473	60	12	and	and	CCONJ
fcis-9473	60	13	n5	n5	PROPN
fcis-9473	60	14	using	use	VERB
fcis-9473	60	15	fast	fast	ADJ
fcis-9473	60	16	normalization	normalization	NOUN
fcis-9473	60	17	fusion	fusion	NOUN
fcis-9473	60	18	,	,	PUNCT
fcis-9473	60	19	obtaining	obtain	VERB
fcis-9473	60	20	various	various	ADJ
fcis-9473	60	21	feature	feature	NOUN
fcis-9473	60	22	map	map	NOUN
fcis-9473	60	23	representations	representation	NOUN
fcis-9473	60	24	.	.	PUNCT
fcis-9473	61	1	finally	finally	ADV
fcis-9473	61	2	,	,	PUNCT
fcis-9473	61	3	combine	combine	VERB
fcis-9473	61	4	the	the	DET
fcis-9473	61	5	interaction	interaction	NOUN
fcis-9473	61	6	information	information	NOUN
fcis-9473	61	7	between	between	ADP
fcis-9473	61	8	top	top	ADJ
fcis-9473	61	9	-	-	PUNCT
fcis-9473	61	10	down	down	NOUN
fcis-9473	61	11	and	and	CCONJ
fcis-9473	61	12	bottom	bottom	ADJ
fcis-9473	61	13	-	-	PUNCT
fcis-9473	61	14	up	up	ADP
fcis-9473	61	15	process	process	NOUN
fcis-9473	61	16	feature	feature	NOUN
fcis-9473	61	17	maps	map	NOUN
fcis-9473	61	18	,	,	PUNCT
fcis-9473	61	19	outputting	output	VERB
fcis-9473	61	20	the	the	DET
fcis-9473	61	21	result	result	NOUN
fcis-9473	61	22	feature	feature	NOUN
fcis-9473	61	23	map	map	NOUN
fcis-9473	61	24	.	.	PUNCT
fcis-9473	62	1	the	the	DET
fcis-9473	62	2	calculation	calculation	NOUN
fcis-9473	62	3	formula	formula	NOUN
fcis-9473	62	4	for	for	ADP
fcis-9473	62	5	the	the	DET
fcis-9473	62	6	fast	fast	ADJ
fcis-9473	62	7	normalization	normalization	NOUN
fcis-9473	62	8	fusion	fusion	NOUN
fcis-9473	62	9	method	method	NOUN
fcis-9473	62	10	is	be	AUX
fcis-9473	62	11	shown	show	VERB
fcis-9473	62	12	below	below	ADP
fcis-9473	62	13	.	.	PUNCT
fcis-9473	63	1	i	i	PRON
fcis-9473	63	2	i	i	PRON
fcis-9473	64	1	j	j	NOUN
fcis-9473	65	1	x	x	PUNCT
fcis-9473	65	2	o	o	X
fcis-9473	66	1	i	i	PRON
fcis-9473	66	2	j	j	PROPN
fcis-9473	66	3			PROPN
fcis-9473	66	4			PROPN
fcis-9473	67	1			X
fcis-9473	67	2			PROPN
fcis-9473	67	3			PROPN
fcis-9473	67	4			PROPN
fcis-9473	67	5			X
fcis-9473	67	6	(	(	PUNCT
fcis-9473	67	7	1	1	X
fcis-9473	67	8	)	)	PUNCT
fcis-9473	67	9	in	in	ADP
fcis-9473	67	10	this	this	DET
fcis-9473	67	11	formulation	formulation	NOUN
fcis-9473	67	12	,	,	PUNCT
fcis-9473	67	13	o	o	PROPN
fcis-9473	67	14	denotes	denote	VERB
fcis-9473	67	15	the	the	DET
fcis-9473	67	16	output	output	NOUN
fcis-9473	67	17	feature	feature	NOUN
fcis-9473	67	18	map	map	NOUN
fcis-9473	67	19	,	,	PUNCT
fcis-9473	67	20	i	i	PROPN
fcis-9473	67	21	represents	represent	VERB
fcis-9473	67	22	the	the	DET
fcis-9473	67	23	weight	weight	NOUN
fcis-9473	67	24	coefficient	coefficient	NOUN
fcis-9473	67	25	of	of	ADP
fcis-9473	67	26	the	the	DET
fcis-9473	67	27	current	current	ADJ
fcis-9473	67	28	layer	layer	NOUN
fcis-9473	67	29	feature	feature	NOUN
fcis-9473	67	30	map	map	NOUN
fcis-9473	67	31	,	,	PUNCT
fcis-9473	68	1	ix	ix	ADP
fcis-9473	68	2	corresponds	correspond	NOUN
fcis-9473	68	3	to	to	ADP
fcis-9473	68	4	the	the	DET
fcis-9473	68	5	feature	feature	NOUN
fcis-9473	68	6	maps	map	NOUN
fcis-9473	68	7	that	that	PRON
fcis-9473	68	8	need	need	VERB
fcis-9473	68	9	to	to	PART
fcis-9473	68	10	be	be	AUX
fcis-9473	68	11	fused	fuse	VERB
fcis-9473	68	12	,	,	PUNCT
fcis-9473	68	13	and	and	CCONJ
fcis-9473	68	14	0.001	0.001	NUM
fcis-9473	68	15			PROPN
fcis-9473	68	16	.	.	PUNCT
fcis-9473	69	1	in	in	ADP
fcis-9473	69	2	figure	figure	NOUN
fcis-9473	69	3	2	2	NUM
fcis-9473	69	4	,	,	PUNCT
fcis-9473	69	5	the	the	DET
fcis-9473	69	6	fusion	fusion	NOUN
fcis-9473	69	7	situations	situation	NOUN
fcis-9473	69	8	of	of	ADP
fcis-9473	69	9	m4	m4	PROPN
fcis-9473	69	10	and	and	CCONJ
fcis-9473	69	11	n4	n4	PROPN
fcis-9473	69	12	are	be	AUX
fcis-9473	69	13	shown	show	VERB
fcis-9473	69	14	in	in	ADP
fcis-9473	69	15	the	the	DET
fcis-9473	69	16	formulas	formula	NOUN
fcis-9473	69	17	below	below	ADV
fcis-9473	69	18	,	,	PUNCT
fcis-9473	69	19	respectively	respectively	ADV
fcis-9473	69	20	.	.	PUNCT
fcis-9473	70	1	1	1	NUM
fcis-9473	70	2	4	4	NUM
fcis-9473	70	3	2	2	NUM
fcis-9473	70	4	5	5	NUM
fcis-9473	70	5	4	4	NUM
fcis-9473	70	6	1	1	NUM
fcis-9473	70	7	2	2	NUM
fcis-9473	70	8	resize	resize	NOUN
fcis-9473	70	9	(	(	PUNCT
fcis-9473	70	10	)	)	PUNCT
fcis-9473	70	11	(	(	PUNCT
fcis-9473	70	12	)	)	PUNCT
fcis-9473	70	13	in	in	ADP
fcis-9473	70	14	inp	inp	PROPN
fcis-9473	70	15	p	p	PROPN
fcis-9473	70	16	m	m	PROPN
fcis-9473	70	17	conv	conv	ADJ
fcis-9473	70	18			X
fcis-9473	70	19			X
fcis-9473	70	20			X
fcis-9473	70	21			PROPN
fcis-9473	70	22			PROPN
fcis-9473	70	23			PROPN
fcis-9473	70	24			PROPN
fcis-9473	70	25			PROPN
fcis-9473	70	26			PROPN
fcis-9473	70	27			PROPN
fcis-9473	70	28			X
fcis-9473	70	29	(	(	PUNCT
fcis-9473	70	30	2	2	NUM
fcis-9473	70	31	)	)	PUNCT
fcis-9473	70	32	1	1	NUM
fcis-9473	70	33	4	4	NUM
fcis-9473	70	34	2	2	NUM
fcis-9473	70	35	4	4	NUM
fcis-9473	70	36	3	3	NUM
fcis-9473	70	37	3	3	NUM
fcis-9473	70	38	4	4	NUM
fcis-9473	70	39	1	1	NUM
fcis-9473	70	40	2	2	NUM
fcis-9473	70	41	3	3	NUM
fcis-9473	70	42	resize	resize	NOUN
fcis-9473	70	43	(	(	PUNCT
fcis-9473	70	44	)	)	PUNCT
fcis-9473	70	45	(	(	PUNCT
fcis-9473	70	46	)	)	PUNCT
fcis-9473	70	47	in	in	ADP
fcis-9473	70	48	td	td	NOUN
fcis-9473	70	49	outp	outp	ADV
fcis-9473	71	1	p	p	PROPN
fcis-9473	71	2	p	p	PROPN
fcis-9473	71	3	n	n	X
fcis-9473	71	4	conv	conv	NOUN
fcis-9473	71	5			X
fcis-9473	72	1			X
fcis-9473	72	2			X
fcis-9473	72	3			X
fcis-9473	72	4			X
fcis-9473	72	5			PROPN
fcis-9473	72	6			PROPN
fcis-9473	72	7			CCONJ
fcis-9473	72	8			CCONJ
fcis-9473	72	9			PROPN
fcis-9473	72	10			PROPN
fcis-9473	72	11			PROPN
fcis-9473	72	12			PROPN
fcis-9473	72	13			PROPN
fcis-9473	72	14			PROPN
fcis-9473	72	15			PROPN
fcis-9473	72	16			PUNCT
fcis-9473	72	17			X
fcis-9473	72	18	(	(	PUNCT
fcis-9473	72	19	3	3	X
fcis-9473	72	20	)	)	PUNCT
fcis-9473	72	21	in	in	ADP
fcis-9473	72	22	this	this	DET
fcis-9473	72	23	setup	setup	NOUN
fcis-9473	72	24	,	,	PUNCT
fcis-9473	72	25	m4represents	m4represent	NOUN
fcis-9473	72	26	the	the	DET
fcis-9473	72	27	intermediate	intermediate	ADJ
fcis-9473	72	28	features	feature	NOUN
fcis-9473	72	29	of	of	ADP
fcis-9473	72	30	the	the	DET
fcis-9473	72	31	4th	4th	ADJ
fcis-9473	72	32	layer	layer	NOUN
fcis-9473	72	33	in	in	ADP
fcis-9473	72	34	the	the	DET
fcis-9473	72	35	top	top	ADJ
fcis-9473	72	36	-	-	PUNCT
fcis-9473	72	37	down	down	ADP
fcis-9473	72	38	fusion	fusion	NOUN
fcis-9473	72	39	process	process	NOUN
fcis-9473	72	40	,	,	PUNCT
fcis-9473	72	41	and	and	CCONJ
fcis-9473	72	42	n4	n4	PROPN
fcis-9473	72	43	denotes	denote	VERB
fcis-9473	72	44	the	the	DET
fcis-9473	72	45	intermediate	intermediate	ADJ
fcis-9473	72	46	features	feature	NOUN
fcis-9473	72	47	of	of	ADP
fcis-9473	72	48	the	the	DET
fcis-9473	72	49	4th	4th	ADJ
fcis-9473	72	50	layer	layer	NOUN
fcis-9473	72	51	in	in	ADP
fcis-9473	72	52	the	the	DET
fcis-9473	72	53	bottom	bottom	ADJ
fcis-9473	72	54	-	-	PUNCT
fcis-9473	72	55	up	up	ADP
fcis-9473	72	56	fusion	fusion	NOUN
fcis-9473	72	57	process	process	NOUN
fcis-9473	72	58	.	.	PUNCT
fcis-9473	73	1	piin	piin	NOUN
fcis-9473	73	2	and	and	CCONJ
fcis-9473	73	3	piout	piout	NOUN
fcis-9473	73	4	represent	represent	VERB
fcis-9473	73	5	the	the	DET
fcis-9473	73	6	input	input	NOUN
fcis-9473	73	7	and	and	CCONJ
fcis-9473	73	8	output	output	NOUN
fcis-9473	73	9	of	of	ADP
fcis-9473	73	10	the	the	DET
fcis-9473	73	11	ith	ith	PROPN
fcis-9473	73	12	layer	layer	NOUN
fcis-9473	73	13	feature	feature	NOUN
fcis-9473	73	14	map	map	NOUN
fcis-9473	73	15	,	,	PUNCT
fcis-9473	73	16	respectively	respectively	ADV
fcis-9473	73	17	;	;	PUNCT
fcis-9473	73	18	pitd	pitd	NOUN
fcis-9473	73	19	refers	refer	VERB
fcis-9473	73	20	to	to	ADP
fcis-9473	73	21	the	the	DET
fcis-9473	73	22	output	output	NOUN
fcis-9473	73	23	of	of	ADP
fcis-9473	73	24	99	99	NUM
fcis-9473	73	25	the	the	DET
fcis-9473	73	26	intermediate	intermediate	ADJ
fcis-9473	73	27	node	node	NOUN
fcis-9473	73	28	of	of	ADP
fcis-9473	73	29	the	the	DET
fcis-9473	73	30	i	i	PROPN
fcis-9473	73	31	-	-	PUNCT
fcis-9473	73	32	th	th	VERB
fcis-9473	73	33	layer	layer	NOUN
fcis-9473	73	34	feature	feature	NOUN
fcis-9473	73	35	map	map	NOUN
fcis-9473	73	36	in	in	ADP
fcis-9473	73	37	the	the	DET
fcis-9473	73	38	topdown	topdown	ADJ
fcis-9473	73	39	fusion	fusion	NOUN
fcis-9473	73	40	process	process	NOUN
fcis-9473	73	41	;	;	PUNCT
fcis-9473	73	42	resize	resize	NOUN
fcis-9473	73	43	indicates	indicate	VERB
fcis-9473	73	44	the	the	DET
fcis-9473	73	45	operation	operation	NOUN
fcis-9473	73	46	of	of	ADP
fcis-9473	73	47	maintaining	maintain	VERB
fcis-9473	73	48	consistent	consistent	ADJ
fcis-9473	73	49	feature	feature	NOUN
fcis-9473	73	50	map	map	NOUN
fcis-9473	73	51	dimensions	dimension	NOUN
fcis-9473	73	52	through	through	ADP
fcis-9473	73	53	sampling	sampling	NOUN
fcis-9473	73	54	;	;	PUNCT
fcis-9473	74	1	0.0001	0.0001	PROPN
fcis-9473	75	1			NUM
fcis-9473	75	2	.	.	PUNCT
fcis-9473	76	1	3.3	3.3	NUM
fcis-9473	76	2	.	.	PUNCT
fcis-9473	77	1	c3str	c3str	NUM
fcis-9473	77	2	model	model	NOUN
fcis-9473	77	3	as	as	SCONJ
fcis-9473	77	4	the	the	DET
fcis-9473	77	5	network	network	NOUN
fcis-9473	77	6	deepens	deepen	VERB
fcis-9473	77	7	and	and	CCONJ
fcis-9473	77	8	undergoes	undergo	VERB
fcis-9473	77	9	multiple	multiple	ADJ
fcis-9473	77	10	convolution	convolution	NOUN
fcis-9473	77	11	operations	operation	NOUN
fcis-9473	77	12	,	,	PUNCT
fcis-9473	77	13	most	most	ADJ
fcis-9473	77	14	of	of	ADP
fcis-9473	77	15	the	the	DET
fcis-9473	77	16	target	target	NOUN
fcis-9473	77	17	features	feature	VERB
fcis-9473	77	18	that	that	SCONJ
fcis-9473	77	19	small	small	ADJ
fcis-9473	77	20	objects	object	NOUN
fcis-9473	77	21	in	in	ADP
fcis-9473	77	22	remote	remote	ADJ
fcis-9473	77	23	sensing	sensing	NOUN
fcis-9473	77	24	images	image	NOUN
fcis-9473	77	25	should	should	AUX
fcis-9473	77	26	possess	possess	VERB
fcis-9473	77	27	are	be	AUX
fcis-9473	77	28	lost	lose	VERB
fcis-9473	77	29	in	in	ADP
fcis-9473	77	30	the	the	DET
fcis-9473	77	31	high	high	ADJ
fcis-9473	77	32	-	-	PUNCT
fcis-9473	77	33	level	level	NOUN
fcis-9473	77	34	feature	feature	NOUN
fcis-9473	77	35	maps	map	NOUN
fcis-9473	77	36	.	.	PUNCT
fcis-9473	78	1	therefore	therefore	ADV
fcis-9473	78	2	,	,	PUNCT
fcis-9473	78	3	in	in	ADP
fcis-9473	78	4	the	the	DET
fcis-9473	78	5	feature	feature	NOUN
fcis-9473	78	6	fusion	fusion	NOUN
fcis-9473	78	7	part	part	NOUN
fcis-9473	78	8	,	,	PUNCT
fcis-9473	78	9	the	the	DET
fcis-9473	78	10	concept	concept	NOUN
fcis-9473	78	11	of	of	ADP
fcis-9473	78	12	swin	swin	PROPN
fcis-9473	78	13	transformer	transformer	PROPN
fcis-9473	78	14	[	[	X
fcis-9473	78	15	9	9	NUM
fcis-9473	78	16	]	]	PUNCT
fcis-9473	78	17	is	be	AUX
fcis-9473	78	18	employed	employ	VERB
fcis-9473	78	19	.	.	PUNCT
fcis-9473	79	1	the	the	DET
fcis-9473	79	2	c3	c3	PROPN
fcis-9473	79	3	convolution	convolution	NOUN
fcis-9473	79	4	block	block	NOUN
fcis-9473	79	5	incorporates	incorporate	VERB
fcis-9473	79	6	it	it	PRON
fcis-9473	79	7	,	,	PUNCT
fcis-9473	79	8	employing	employ	VERB
fcis-9473	79	9	the	the	DET
fcis-9473	79	10	c3str	c3str	NOUN
fcis-9473	79	11	structure	structure	NOUN
fcis-9473	79	12	as	as	ADP
fcis-9473	79	13	a	a	DET
fcis-9473	79	14	supplementary	supplementary	ADJ
fcis-9473	79	15	module	module	NOUN
fcis-9473	79	16	while	while	SCONJ
fcis-9473	79	17	introducing	introduce	VERB
fcis-9473	79	18	select	select	ADJ
fcis-9473	79	19	discrete	discrete	ADJ
fcis-9473	79	20	parameters	parameter	NOUN
fcis-9473	79	21	from	from	ADP
fcis-9473	79	22	the	the	DET
fcis-9473	79	23	transformer	transformer	NOUN
fcis-9473	79	24	.	.	PUNCT
fcis-9473	80	1	the	the	DET
fcis-9473	80	2	window	window	NOUN
fcis-9473	80	3	selfattention	selfattention	NOUN
fcis-9473	80	4	module	module	NOUN
fcis-9473	80	5	serves	serve	VERB
fcis-9473	80	6	to	to	PART
fcis-9473	80	7	improve	improve	VERB
fcis-9473	80	8	the	the	DET
fcis-9473	80	9	semantic	semantic	ADJ
fcis-9473	80	10	information	information	NOUN
fcis-9473	80	11	and	and	CCONJ
fcis-9473	80	12	feature	feature	NOUN
fcis-9473	80	13	representation	representation	NOUN
fcis-9473	80	14	for	for	ADP
fcis-9473	80	15	small	small	ADJ
fcis-9473	80	16	targets	target	NOUN
fcis-9473	80	17	.	.	PUNCT
fcis-9473	81	1	the	the	DET
fcis-9473	81	2	improved	improve	VERB
fcis-9473	81	3	convolution	convolution	NOUN
fcis-9473	81	4	structure	structure	NOUN
fcis-9473	81	5	is	be	AUX
fcis-9473	81	6	shown	show	VERB
fcis-9473	81	7	in	in	ADP
fcis-9473	81	8	figure	figure	NOUN
fcis-9473	81	9	3	3	NUM
fcis-9473	81	10	fig	fig	NOUN
fcis-9473	81	11	3	3	NUM
fcis-9473	81	12	.	.	PUNCT
fcis-9473	81	13	c3str	c3str	NUM
fcis-9473	81	14	model	model	NOUN
fcis-9473	81	15	structure	structure	NOUN
fcis-9473	81	16	comprising	comprising	NOUN
fcis-9473	81	17	paired	pair	VERB
fcis-9473	81	18	window	window	NOUN
fcis-9473	81	19	multi	multi	ADJ
fcis-9473	81	20	-	-	ADJ
fcis-9473	81	21	head	head	ADJ
fcis-9473	81	22	self	self	NOUN
fcis-9473	81	23	-	-	PUNCT
fcis-9473	81	24	attention	attention	NOUN
fcis-9473	81	25	(	(	PUNCT
fcis-9473	81	26	wmsa	wmsa	NOUN
fcis-9473	81	27	)	)	PUNCT
fcis-9473	81	28	modules	module	NOUN
fcis-9473	81	29	,	,	PUNCT
fcis-9473	81	30	shifted	shift	VERB
fcis-9473	81	31	window	window	NOUN
fcis-9473	81	32	multi	multi	ADJ
fcis-9473	81	33	-	-	ADJ
fcis-9473	81	34	head	head	ADJ
fcis-9473	81	35	self	self	NOUN
fcis-9473	81	36	-	-	PUNCT
fcis-9473	81	37	attention	attention	NOUN
fcis-9473	81	38	(	(	PUNCT
fcis-9473	81	39	sw	sw	PROPN
fcis-9473	81	40	-	-	PUNCT
fcis-9473	81	41	msa	msa	PROPN
fcis-9473	81	42	)	)	PUNCT
fcis-9473	81	43	modules	module	NOUN
fcis-9473	81	44	,	,	PUNCT
fcis-9473	81	45	and	and	CCONJ
fcis-9473	81	46	multi	multi	ADJ
fcis-9473	81	47	-	-	ADJ
fcis-9473	81	48	layer	layer	ADJ
fcis-9473	81	49	perceptrons	perceptron	NOUN
fcis-9473	81	50	(	(	PUNCT
fcis-9473	81	51	mlp	mlp	NOUN
fcis-9473	81	52	)	)	PUNCT
fcis-9473	81	53	,	,	PUNCT
fcis-9473	81	54	the	the	DET
fcis-9473	81	55	swin	swin	PROPN
fcis-9473	81	56	transformer	transformer	PROPN
fcis-9473	81	57	block	block	PROPN
fcis-9473	81	58	(	(	PUNCT
fcis-9473	81	59	stb	stb	NOUN
fcis-9473	81	60	)	)	PUNCT
fcis-9473	81	61	is	be	AUX
fcis-9473	81	62	designed	design	VERB
fcis-9473	81	63	with	with	ADP
fcis-9473	81	64	residual	residual	ADJ
fcis-9473	81	65	connections	connection	NOUN
fcis-9473	81	66	in	in	ADP
fcis-9473	81	67	its	its	PRON
fcis-9473	81	68	modules	module	NOUN
fcis-9473	81	69	.	.	PUNCT
fcis-9473	82	1	with	with	ADP
fcis-9473	82	2	a	a	DET
fcis-9473	82	3	local	local	ADJ
fcis-9473	82	4	window	window	NOUN
fcis-9473	82	5	size	size	NOUN
fcis-9473	82	6	of	of	ADP
fcis-9473	82	7	7	7	NUM
fcis-9473	82	8	and	and	CCONJ
fcis-9473	82	9	a	a	DET
fcis-9473	82	10	multi	multi	ADJ
fcis-9473	82	11	-	-	ADJ
fcis-9473	82	12	layer	layer	ADJ
fcis-9473	82	13	perceptron	perceptron	NOUN
fcis-9473	82	14	hidden	hide	VERB
fcis-9473	82	15	layer	layer	NOUN
fcis-9473	82	16	embedding	embed	VERB
fcis-9473	82	17	dimension	dimension	NOUN
fcis-9473	82	18	set	set	VERB
fcis-9473	82	19	to	to	ADP
fcis-9473	82	20	4	4	NUM
fcis-9473	82	21	,	,	PUNCT
fcis-9473	82	22	the	the	DET
fcis-9473	82	23	stb	stb	NOUN
fcis-9473	82	24	forms	form	VERB
fcis-9473	82	25	an	an	DET
fcis-9473	82	26	optimized	optimize	VERB
fcis-9473	82	27	structure	structure	NOUN
fcis-9473	82	28	.	.	PUNCT
fcis-9473	83	1	the	the	DET
fcis-9473	83	2	calculation	calculation	NOUN
fcis-9473	83	3	process	process	NOUN
fcis-9473	83	4	for	for	ADP
fcis-9473	83	5	the	the	DET
fcis-9473	83	6	multi	multi	ADJ
fcis-9473	83	7	-	-	ADJ
fcis-9473	83	8	head	head	ADJ
fcis-9473	83	9	self	self	NOUN
fcis-9473	83	10	-	-	PUNCT
fcis-9473	83	11	attention	attention	NOUN
fcis-9473	83	12	mechanism	mechanism	NOUN
fcis-9473	83	13	is	be	AUX
fcis-9473	83	14	as	as	SCONJ
fcis-9473	83	15	follows	follow	VERB
fcis-9473	83	16	:	:	PUNCT
fcis-9473	83	17	(	(	PUNCT
fcis-9473	83	18	,	,	PUNCT
fcis-9473	83	19	,	,	PUNCT
fcis-9473	83	20	)	)	PUNCT
fcis-9473	83	21	(	(	PUNCT
fcis-9473	83	22	)	)	PUNCT
fcis-9473	83	23	tqk	tqk	PROPN
fcis-9473	83	24	attention	attention	NOUN
fcis-9473	83	25	q	q	PROPN
fcis-9473	84	1	k	k	PROPN
fcis-9473	84	2	v	v	X
fcis-9473	84	3	softmax	softmax	NOUN
fcis-9473	84	4	v	v	PROPN
fcis-9473	84	5	d	d	PROPN
fcis-9473	84	6	b	b	PROPN
fcis-9473	84	7			PROPN
fcis-9473	84	8			X
fcis-9473	84	9	(	(	PUNCT
fcis-9473	84	10	4	4	NUM
fcis-9473	84	11	)	)	PUNCT
fcis-9473	84	12	(	(	PUNCT
fcis-9473	84	13	,	,	PUNCT
fcis-9473	84	14	,	,	PUNCT
fcis-9473	84	15	)	)	PUNCT
fcis-9473	84	16	q	q	PROPN
fcis-9473	85	1	k	k	PROPN
fcis-9473	85	2	v	v	PROPN
fcis-9473	85	3	represent	represent	NOUN
fcis-9473	85	4	(	(	PUNCT
fcis-9473	85	5	query	query	NOUN
fcis-9473	85	6	,	,	PUNCT
fcis-9473	85	7	key	key	ADJ
fcis-9473	85	8	,	,	PUNCT
fcis-9473	85	9	and	and	CCONJ
fcis-9473	85	10	value	value	NOUN
fcis-9473	85	11	)	)	PUNCT
fcis-9473	85	12	matrices	matrix	NOUN
fcis-9473	85	13	,	,	PUNCT
fcis-9473	85	14	respectively	respectively	ADV
fcis-9473	85	15	;	;	PUNCT
fcis-9473	85	16	d	d	X
fcis-9473	85	17	denotes	denote	VERB
fcis-9473	85	18	the	the	DET
fcis-9473	85	19	number	number	NOUN
fcis-9473	85	20	of	of	ADP
fcis-9473	85	21	input	input	NOUN
fcis-9473	85	22	feature	feature	NOUN
fcis-9473	85	23	map	map	NOUN
fcis-9473	85	24	channels	channel	NOUN
fcis-9473	85	25	,	,	PUNCT
fcis-9473	85	26	and	and	CCONJ
fcis-9473	85	27	b	b	X
fcis-9473	85	28	is	be	AUX
fcis-9473	85	29	the	the	DET
fcis-9473	85	30	relative	relative	ADJ
fcis-9473	85	31	position	position	NOUN
fcis-9473	85	32	bias	bias	NOUN
fcis-9473	85	33	.	.	PUNCT
fcis-9473	86	1	by	by	ADP
fcis-9473	86	2	introducing	introduce	VERB
fcis-9473	86	3	b	b	PROPN
fcis-9473	86	4	,	,	PUNCT
fcis-9473	86	5	a	a	DET
fcis-9473	86	6	significant	significant	ADJ
fcis-9473	86	7	improvement	improvement	NOUN
fcis-9473	86	8	in	in	ADP
fcis-9473	86	9	performance	performance	NOUN
fcis-9473	86	10	can	can	AUX
fcis-9473	86	11	be	be	AUX
fcis-9473	86	12	achieved	achieve	VERB
fcis-9473	86	13	.	.	PUNCT
fcis-9473	87	1	compared	compare	VERB
fcis-9473	87	2	to	to	ADP
fcis-9473	87	3	the	the	DET
fcis-9473	87	4	multi	multi	ADJ
fcis-9473	87	5	-	-	ADJ
fcis-9473	87	6	head	head	ADJ
fcis-9473	87	7	self	self	NOUN
fcis-9473	87	8	-	-	PUNCT
fcis-9473	87	9	attention	attention	NOUN
fcis-9473	87	10	(	(	PUNCT
fcis-9473	87	11	msa	msa	PROPN
fcis-9473	87	12	)	)	PUNCT
fcis-9473	87	13	module	module	NOUN
fcis-9473	87	14	in	in	ADP
fcis-9473	87	15	traditional	traditional	ADJ
fcis-9473	87	16	transformers	transformer	NOUN
fcis-9473	87	17	,	,	PUNCT
fcis-9473	87	18	the	the	DET
fcis-9473	87	19	c3str	c3str	NOUN
fcis-9473	87	20	module	module	NOUN
fcis-9473	87	21	in	in	ADP
fcis-9473	87	22	this	this	DET
fcis-9473	87	23	improved	improved	ADJ
fcis-9473	87	24	network	network	NOUN
fcis-9473	87	25	architecture	architecture	NOUN
fcis-9473	87	26	controls	control	VERB
fcis-9473	87	27	the	the	DET
fcis-9473	87	28	calculation	calculation	NOUN
fcis-9473	87	29	area	area	NOUN
fcis-9473	87	30	in	in	ADP
fcis-9473	87	31	each	each	DET
fcis-9473	87	32	window	window	NOUN
fcis-9473	87	33	by	by	ADP
fcis-9473	87	34	dividing	divide	VERB
fcis-9473	87	35	local	local	ADJ
fcis-9473	87	36	windows	window	NOUN
fcis-9473	87	37	,	,	PUNCT
fcis-9473	87	38	enabling	enable	VERB
fcis-9473	87	39	crosswindow	crosswindow	NOUN
fcis-9473	87	40	information	information	NOUN
fcis-9473	87	41	exchange	exchange	NOUN
fcis-9473	87	42	while	while	SCONJ
fcis-9473	87	43	reducing	reduce	VERB
fcis-9473	87	44	computational	computational	ADJ
fcis-9473	87	45	complexity	complexity	NOUN
fcis-9473	87	46	and	and	CCONJ
fcis-9473	87	47	network	network	NOUN
fcis-9473	87	48	cost	cost	NOUN
fcis-9473	87	49	.	.	PUNCT
fcis-9473	88	1	this	this	DET
fcis-9473	88	2	approach	approach	NOUN
fcis-9473	88	3	allows	allow	VERB
fcis-9473	88	4	the	the	DET
fcis-9473	88	5	model	model	NOUN
fcis-9473	88	6	to	to	PART
fcis-9473	88	7	efficiently	efficiently	ADV
fcis-9473	88	8	manage	manage	VERB
fcis-9473	88	9	small	small	ADJ
fcis-9473	88	10	targets	target	NOUN
fcis-9473	88	11	and	and	CCONJ
fcis-9473	88	12	complex	complex	ADJ
fcis-9473	88	13	scenes	scene	NOUN
fcis-9473	88	14	in	in	ADP
fcis-9473	88	15	remote	remote	ADJ
fcis-9473	88	16	sensing	sensing	NOUN
fcis-9473	88	17	images	image	NOUN
fcis-9473	88	18	without	without	ADP
fcis-9473	88	19	overburdening	overburden	VERB
fcis-9473	88	20	the	the	DET
fcis-9473	88	21	computation	computation	NOUN
fcis-9473	88	22	.	.	PUNCT
fcis-9473	89	1	4	4	X
fcis-9473	89	2	.	.	X
fcis-9473	89	3	experimental	experimental	ADJ
fcis-9473	89	4	results	result	NOUN
fcis-9473	89	5	4.1	4.1	NUM
fcis-9473	89	6	.	.	PUNCT
fcis-9473	90	1	experimental	experimental	ADJ
fcis-9473	90	2	environment	environment	NOUN
fcis-9473	90	3	and	and	CCONJ
fcis-9473	90	4	parameter	parameter	NOUN
fcis-9473	90	5	settings	setting	NOUN
fcis-9473	90	6	the	the	DET
fcis-9473	90	7	experimental	experimental	ADJ
fcis-9473	90	8	environment	environment	NOUN
fcis-9473	90	9	used	use	VERB
fcis-9473	90	10	in	in	ADP
fcis-9473	90	11	this	this	DET
fcis-9473	90	12	study	study	NOUN
fcis-9473	90	13	includes	include	VERB
fcis-9473	90	14	the	the	DET
fcis-9473	90	15	windows	window	NOUN
fcis-9473	90	16	10	10	NUM
fcis-9473	90	17	operating	operating	NOUN
fcis-9473	90	18	system	system	NOUN
fcis-9473	90	19	,	,	PUNCT
fcis-9473	90	20	an	an	DET
fcis-9473	90	21	nvidia	nvidia	PROPN
fcis-9473	90	22	geforce	geforce	NOUN
fcis-9473	90	23	rtx	rtx	PROPN
fcis-9473	90	24	3060	3060	NUM
fcis-9473	90	25	gpu	gpu	PROPN
fcis-9473	90	26	,	,	PUNCT
fcis-9473	90	27	cuda	cuda	NOUN
fcis-9473	90	28	12.0	12.0	NUM
fcis-9473	90	29	,	,	PUNCT
fcis-9473	90	30	the	the	DET
fcis-9473	90	31	pytorch	pytorch	NOUN
fcis-9473	90	32	1.10.2	1.10.2	NUM
fcis-9473	90	33	deep	deep	ADJ
fcis-9473	90	34	learning	learning	NOUN
fcis-9473	90	35	framework	framework	NOUN
fcis-9473	90	36	,	,	PUNCT
fcis-9473	90	37	and	and	CCONJ
fcis-9473	90	38	python	python	NOUN
fcis-9473	90	39	3.6.0	3.6.0	NUM
fcis-9473	90	40	.	.	PROPN
fcis-9473	90	41	4.2	4.2	NUM
fcis-9473	90	42	.	.	PUNCT
fcis-9473	91	1	datasets	dataset	NOUN
fcis-9473	91	2	and	and	CCONJ
fcis-9473	91	3	evaluation	evaluation	NOUN
fcis-9473	91	4	indicators	indicator	NOUN
fcis-9473	91	5	with	with	ADP
fcis-9473	91	6	assistance	assistance	NOUN
fcis-9473	91	7	from	from	ADP
fcis-9473	91	8	shanxi	shanxi	PROPN
fcis-9473	91	9	electric	electric	PROPN
fcis-9473	91	10	power	power	PROPN
fcis-9473	91	11	company	company	NOUN
fcis-9473	91	12	,	,	PUNCT
fcis-9473	91	13	an	an	DET
fcis-9473	91	14	original	original	ADJ
fcis-9473	91	15	image	image	NOUN
fcis-9473	91	16	dataset	dataset	NOUN
fcis-9473	91	17	was	be	AUX
fcis-9473	91	18	created	create	VERB
fcis-9473	91	19	using	use	VERB
fcis-9473	91	20	handheld	handheld	NOUN
fcis-9473	91	21	cameras	camera	NOUN
fcis-9473	91	22	,	,	PUNCT
fcis-9473	91	23	drones	drone	NOUN
fcis-9473	91	24	,	,	PUNCT
fcis-9473	91	25	and	and	CCONJ
fcis-9473	91	26	simulated	simulate	VERB
fcis-9473	91	27	ice	ice	NOUN
fcis-9473	91	28	accretion	accretion	NOUN
fcis-9473	91	29	images	image	NOUN
fcis-9473	91	30	.	.	PUNCT
fcis-9473	92	1	after	after	ADP
fcis-9473	92	2	image	image	NOUN
fcis-9473	92	3	screening	screening	NOUN
fcis-9473	92	4	,	,	PUNCT
fcis-9473	92	5	augmentation	augmentation	NOUN
fcis-9473	92	6	,	,	PUNCT
fcis-9473	92	7	sliding	slide	VERB
fcis-9473	92	8	window	window	NOUN
fcis-9473	92	9	segmentation	segmentation	NOUN
fcis-9473	92	10	,	,	PUNCT
fcis-9473	92	11	and	and	CCONJ
fcis-9473	92	12	annotation	annotation	NOUN
fcis-9473	92	13	,	,	PUNCT
fcis-9473	92	14	the	the	DET
fcis-9473	92	15	final	final	ADJ
fcis-9473	92	16	dataset	dataset	NOUN
fcis-9473	92	17	contains	contain	VERB
fcis-9473	92	18	6100	6100	NUM
fcis-9473	92	19	images	image	NOUN
fcis-9473	92	20	.	.	PUNCT
fcis-9473	93	1	the	the	DET
fcis-9473	93	2	dataset	dataset	NOUN
fcis-9473	93	3	includes	include	VERB
fcis-9473	93	4	normal	normal	ADJ
fcis-9473	93	5	conductors	conductor	NOUN
fcis-9473	93	6	,	,	PUNCT
fcis-9473	93	7	normal	normal	ADJ
fcis-9473	93	8	insulators	insulator	NOUN
fcis-9473	93	9	,	,	PUNCT
fcis-9473	93	10	iceconductors	iceconductor	NOUN
fcis-9473	93	11	,	,	PUNCT
fcis-9473	93	12	and	and	CCONJ
fcis-9473	93	13	ice	ice	NOUN
fcis-9473	93	14	-	-	PUNCT
fcis-9473	93	15	insulators	insulator	NOUN
fcis-9473	93	16	,	,	PUNCT
fcis-9473	93	17	with	with	ADP
fcis-9473	93	18	a	a	DET
fcis-9473	93	19	train	train	NOUN
fcis-9473	93	20	-	-	PUNCT
fcis-9473	93	21	test	test	NOUN
fcis-9473	93	22	-	-	PUNCT
fcis-9473	93	23	validation	validation	NOUN
fcis-9473	93	24	split	split	NOUN
fcis-9473	93	25	of	of	ADP
fcis-9473	93	26	8:1:1	8:1:1	PROPN
fcis-9473	93	27	.	.	PUNCT
fcis-9473	94	1	this	this	DET
fcis-9473	94	2	study	study	NOUN
fcis-9473	94	3	uses	use	VERB
fcis-9473	94	4	ap	ap	PROPN
fcis-9473	94	5	,	,	PUNCT
fcis-9473	94	6	map	map	NOUN
fcis-9473	94	7	,	,	PUNCT
fcis-9473	94	8	and	and	CCONJ
fcis-9473	94	9	detection	detection	NOUN
fcis-9473	94	10	rate	rate	NOUN
fcis-9473	94	11	as	as	ADP
fcis-9473	94	12	evaluation	evaluation	NOUN
fcis-9473	94	13	metrics	metric	NOUN
fcis-9473	94	14	.	.	PUNCT
fcis-9473	95	1	4.3	4.3	NUM
fcis-9473	95	2	.	.	PUNCT
fcis-9473	95	3	experimental	experimental	ADJ
fcis-9473	95	4	results	result	NOUN
fcis-9473	95	5	and	and	CCONJ
fcis-9473	95	6	analysis	analysis	NOUN
fcis-9473	95	7	4.3.1	4.3.1	NUM
fcis-9473	95	8	.	.	PUNCT
fcis-9473	95	9	results	result	NOUN
fcis-9473	95	10	and	and	CCONJ
fcis-9473	95	11	analysis	analysis	NOUN
fcis-9473	95	12	of	of	ADP
fcis-9473	95	13	ablation	ablation	NOUN
fcis-9473	95	14	experiments	experiment	NOUN
fcis-9473	95	15	on	on	ADP
fcis-9473	95	16	improved	improved	ADJ
fcis-9473	95	17	models	model	NOUN
fcis-9473	95	18	the	the	DET
fcis-9473	95	19	ablation	ablation	NOUN
fcis-9473	95	20	experiment	experiment	NOUN
fcis-9473	95	21	results	result	NOUN
fcis-9473	95	22	of	of	ADP
fcis-9473	95	23	the	the	DET
fcis-9473	95	24	method	method	NOUN
fcis-9473	95	25	proposed	propose	VERB
fcis-9473	95	26	in	in	ADP
fcis-9473	95	27	this	this	DET
fcis-9473	95	28	study	study	NOUN
fcis-9473	95	29	on	on	ADP
fcis-9473	95	30	the	the	DET
fcis-9473	95	31	transmission	transmission	NOUN
fcis-9473	95	32	line	line	NOUN
fcis-9473	95	33	ice	ice	NOUN
fcis-9473	95	34	accretion	accretion	NOUN
fcis-9473	95	35	dataset	dataset	NOUN
fcis-9473	95	36	are	be	AUX
fcis-9473	95	37	documented	document	VERB
fcis-9473	95	38	.	.	PUNCT
fcis-9473	96	1	table	table	NOUN
fcis-9473	96	2	1	1	NUM
fcis-9473	96	3	.	.	PUNCT
fcis-9473	97	1	results	result	NOUN
fcis-9473	97	2	of	of	ADP
fcis-9473	97	3	the	the	DET
fcis-9473	97	4	ablation	ablation	NOUN
fcis-9473	97	5	experiment	experiment	NOUN
fcis-9473	97	6	of	of	ADP
fcis-9473	97	7	the	the	DET
fcis-9473	97	8	improved	improved	ADJ
fcis-9473	97	9	model	model	NOUN
fcis-9473	97	10	serial	serial	ADJ
fcis-9473	97	11	number	number	NOUN
fcis-9473	97	12	algorithm	algorithm	NOUN
fcis-9473	97	13	recall	recall	NOUN
fcis-9473	97	14	precision	precision	PROPN
fcis-9473	97	15	map0.5:0.5	map0.5:0.5	NUM
fcis-9473	97	16	t0	t0	NUM
fcis-9473	97	17	yolov5s	yolov5s	NOUN
fcis-9473	97	18	63.25	63.25	NUM
fcis-9473	97	19	%	%	NOUN
fcis-9473	97	20	50.38	50.38	NUM
fcis-9473	97	21	%	%	NOUN
fcis-9473	97	22	57.51	57.51	NUM
fcis-9473	97	23	%	%	NOUN
fcis-9473	97	24	t1	t1	NOUN
fcis-9473	97	25	yolov5s+aspp	yolov5s+aspp	NOUN
fcis-9473	97	26	74.42	74.42	NUM
fcis-9473	97	27	%	%	NOUN
fcis-9473	97	28	52.79	52.79	NUM
fcis-9473	97	29	%	%	NOUN
fcis-9473	97	30	59.34	59.34	NUM
fcis-9473	97	31	%	%	NOUN
fcis-9473	97	32	t2	t2	NOUN
fcis-9473	97	33	yolov5s+bi	yolov5s+bi	NOUN
fcis-9473	97	34	-	-	PUNCT
fcis-9473	97	35	fpn	fpn	VERB
fcis-9473	97	36	75.31	75.31	NUM
fcis-9473	97	37	%	%	NOUN
fcis-9473	97	38	51.04	51.04	NUM
fcis-9473	97	39	%	%	NOUN
fcis-9473	97	40	57.94	57.94	NUM
fcis-9473	97	41	%	%	NOUN
fcis-9473	97	42	t3	t3	NOUN
fcis-9473	97	43	yolov5s+c3str	yolov5s+c3str	PROPN
fcis-9473	97	44	78.65	78.65	NUM
fcis-9473	97	45	%	%	NOUN
fcis-9473	97	46	52.28	52.28	NUM
fcis-9473	97	47	%	%	NOUN
fcis-9473	97	48	59.76	59.76	NUM
fcis-9473	97	49	%	%	NOUN
fcis-9473	97	50	t4	t4	PROPN
fcis-9473	97	51	yolov5s+aspp+bi	yolov5s+aspp+bi	PROPN
fcis-9473	97	52	-	-	PUNCT
fcis-9473	97	53	fpn	fpn	PROPN
fcis-9473	97	54	76.06	76.06	NUM
fcis-9473	97	55	%	%	NOUN
fcis-9473	97	56	51.89	51.89	NUM
fcis-9473	97	57	%	%	NOUN
fcis-9473	97	58	61.45	61.45	NUM
fcis-9473	97	59	%	%	NOUN
fcis-9473	97	60	t5	t5	PROPN
fcis-9473	97	61	yolov5s+aspp+c3str	yolov5s+aspp+c3str	PROPN
fcis-9473	97	62	76.42	76.42	NUM
fcis-9473	97	63	%	%	NOUN
fcis-9473	97	64	53.60	53.60	NUM
fcis-9473	97	65	%	%	NOUN
fcis-9473	97	66	63.66	63.66	NUM
fcis-9473	97	67	%	%	NOUN
fcis-9473	97	68	t6	t6	PROPN
fcis-9473	97	69	yolov5s+bi	yolov5s+bi	PROPN
fcis-9473	97	70	-	-	PUNCT
fcis-9473	97	71	fpn+c3str	fpn+c3str	PROPN
fcis-9473	97	72	79.67	79.67	NUM
fcis-9473	97	73	%	%	NOUN
fcis-9473	97	74	54.65	54.65	NUM
fcis-9473	97	75	%	%	NOUN
fcis-9473	97	76	64.90	64.90	NUM
fcis-9473	97	77	%	%	NOUN
fcis-9473	97	78	t7	t7	PROPN
fcis-9473	97	79	yolov5s+aspp+bi	yolov5s+aspp+bi	PROPN
fcis-9473	97	80	-	-	PUNCT
fcis-9473	97	81	fpn+c3str	fpn+c3str	PROPN
fcis-9473	97	82	81.27	81.27	NUM
fcis-9473	97	83	%	%	NOUN
fcis-9473	97	84	54.53	54.53	NUM
fcis-9473	97	85	%	%	NOUN
fcis-9473	97	86	64.69	64.69	NUM
fcis-9473	97	87	%	%	NOUN
fcis-9473	97	88	by	by	ADP
fcis-9473	97	89	analyzing	analyze	VERB
fcis-9473	97	90	table	table	NOUN
fcis-9473	97	91	1	1	NUM
fcis-9473	97	92	,	,	PUNCT
fcis-9473	97	93	we	we	PRON
fcis-9473	97	94	can	can	AUX
fcis-9473	97	95	draw	draw	VERB
fcis-9473	97	96	the	the	DET
fcis-9473	97	97	following	following	ADJ
fcis-9473	97	98	conclusions	conclusion	NOUN
fcis-9473	97	99	:	:	PUNCT
fcis-9473	97	100	(	(	PUNCT
fcis-9473	97	101	1	1	X
fcis-9473	97	102	)	)	PUNCT
fcis-9473	97	103	from	from	ADP
fcis-9473	97	104	the	the	DET
fcis-9473	97	105	experimental	experimental	ADJ
fcis-9473	97	106	results	result	NOUN
fcis-9473	97	107	of	of	ADP
fcis-9473	97	108	groups	group	NOUN
fcis-9473	97	109	t0	t0	PROPN
fcis-9473	97	110	to	to	ADP
fcis-9473	97	111	t3	t3	PROPN
fcis-9473	97	112	,	,	PUNCT
fcis-9473	97	113	the	the	DET
fcis-9473	97	114	recall	recall	NOUN
fcis-9473	97	115	,	,	PUNCT
fcis-9473	97	116	classification	classification	NOUN
fcis-9473	97	117	accuracy	accuracy	NOUN
fcis-9473	97	118	,	,	PUNCT
fcis-9473	97	119	and	and	CCONJ
fcis-9473	97	120	map	map	NOUN
fcis-9473	97	121	of	of	ADP
fcis-9473	97	122	the	the	DET
fcis-9473	97	123	improved	improved	ADJ
fcis-9473	97	124	algorithm	algorithm	NOUN
fcis-9473	97	125	in	in	ADP
fcis-9473	97	126	groups	group	NOUN
fcis-9473	97	127	t1	t1	PROPN
fcis-9473	97	128	,	,	PUNCT
fcis-9473	97	129	t2	t2	NOUN
fcis-9473	97	130	,	,	PUNCT
fcis-9473	97	131	and	and	CCONJ
fcis-9473	97	132	t3	t3	NOUN
fcis-9473	97	133	are	be	AUX
fcis-9473	97	134	higher	high	ADJ
fcis-9473	97	135	than	than	ADP
fcis-9473	97	136	those	those	PRON
fcis-9473	97	137	of	of	ADP
fcis-9473	97	138	the	the	DET
fcis-9473	97	139	original	original	ADJ
fcis-9473	97	140	yolov5s	yolov5s	PROPN
fcis-9473	97	141	model	model	NOUN
fcis-9473	97	142	.	.	PUNCT
fcis-9473	98	1	this	this	PRON
fcis-9473	98	2	indicates	indicate	VERB
fcis-9473	98	3	that	that	SCONJ
fcis-9473	98	4	the	the	DET
fcis-9473	98	5	aspp	aspp	NOUN
fcis-9473	98	6	,	,	PUNCT
fcis-9473	98	7	bi	bi	NOUN
fcis-9473	98	8	-	-	ADJ
fcis-9473	98	9	fpn	fpn	ADJ
fcis-9473	98	10	,	,	PUNCT
fcis-9473	98	11	and	and	CCONJ
fcis-9473	98	12	c3str	c3str	NUM
fcis-9473	98	13	modules	module	NOUN
fcis-9473	98	14	proposed	propose	VERB
fcis-9473	98	15	in	in	ADP
fcis-9473	98	16	this	this	DET
fcis-9473	98	17	study	study	NOUN
fcis-9473	98	18	all	all	DET
fcis-9473	98	19	100	100	NUM
fcis-9473	98	20	contribute	contribute	VERB
fcis-9473	98	21	to	to	ADP
fcis-9473	98	22	improving	improve	VERB
fcis-9473	98	23	the	the	DET
fcis-9473	98	24	target	target	NOUN
fcis-9473	98	25	detection	detection	NOUN
fcis-9473	98	26	performance	performance	NOUN
fcis-9473	98	27	.	.	PUNCT
fcis-9473	99	1	the	the	DET
fcis-9473	99	2	improvement	improvement	NOUN
fcis-9473	99	3	in	in	ADP
fcis-9473	99	4	localization	localization	NOUN
fcis-9473	99	5	capability	capability	NOUN
fcis-9473	99	6	is	be	AUX
fcis-9473	99	7	particularly	particularly	ADV
fcis-9473	99	8	significant	significant	ADJ
fcis-9473	99	9	,	,	PUNCT
fcis-9473	99	10	while	while	SCONJ
fcis-9473	99	11	the	the	DET
fcis-9473	99	12	enhancement	enhancement	NOUN
fcis-9473	99	13	in	in	ADP
fcis-9473	99	14	classification	classification	NOUN
fcis-9473	99	15	capability	capability	NOUN
fcis-9473	99	16	is	be	AUX
fcis-9473	99	17	relatively	relatively	ADV
fcis-9473	99	18	smaller	small	ADJ
fcis-9473	99	19	.	.	PUNCT
fcis-9473	100	1	(	(	PUNCT
fcis-9473	100	2	2	2	NUM
fcis-9473	100	3	)	)	PUNCT
fcis-9473	100	4	by	by	ADP
fcis-9473	100	5	observing	observe	VERB
fcis-9473	100	6	the	the	DET
fcis-9473	100	7	experimental	experimental	ADJ
fcis-9473	100	8	results	result	NOUN
fcis-9473	100	9	of	of	ADP
fcis-9473	100	10	groups	group	NOUN
fcis-9473	100	11	(	(	PUNCT
fcis-9473	100	12	t1	t1	NOUN
fcis-9473	100	13	,	,	PUNCT
fcis-9473	100	14	t2	t2	PROPN
fcis-9473	100	15	,	,	PUNCT
fcis-9473	100	16	t4	t4	PROPN
fcis-9473	100	17	)	)	PUNCT
fcis-9473	100	18	,	,	PUNCT
fcis-9473	100	19	the	the	DET
fcis-9473	100	20	combination	combination	NOUN
fcis-9473	100	21	of	of	ADP
fcis-9473	100	22	aspp	aspp	NOUN
fcis-9473	100	23	and	and	CCONJ
fcis-9473	100	24	bi	bi	NOUN
fcis-9473	100	25	-	-	ADJ
fcis-9473	100	26	fpn	fpn	ADJ
fcis-9473	100	27	shows	show	NOUN
fcis-9473	100	28	better	well	ADJ
fcis-9473	100	29	recall	recall	NOUN
fcis-9473	100	30	performance	performance	NOUN
fcis-9473	100	31	than	than	ADP
fcis-9473	100	32	using	use	VERB
fcis-9473	100	33	them	they	PRON
fcis-9473	100	34	separately	separately	ADV
fcis-9473	100	35	.	.	PUNCT
fcis-9473	101	1	comparing	compare	VERB
fcis-9473	101	2	the	the	DET
fcis-9473	101	3	results	result	NOUN
fcis-9473	101	4	of	of	ADP
fcis-9473	101	5	groups	group	NOUN
fcis-9473	101	6	(	(	PUNCT
fcis-9473	101	7	t2	t2	NOUN
fcis-9473	101	8	,	,	PUNCT
fcis-9473	101	9	t3	t3	PROPN
fcis-9473	101	10	,	,	PUNCT
fcis-9473	101	11	t6	t6	PROPN
fcis-9473	101	12	)	)	PUNCT
fcis-9473	101	13	,	,	PUNCT
fcis-9473	101	14	the	the	DET
fcis-9473	101	15	combination	combination	NOUN
fcis-9473	101	16	effects	effect	NOUN
fcis-9473	101	17	are	be	AUX
fcis-9473	101	18	also	also	ADV
fcis-9473	101	19	superior	superior	ADJ
fcis-9473	101	20	to	to	ADP
fcis-9473	101	21	the	the	DET
fcis-9473	101	22	separate	separate	ADJ
fcis-9473	101	23	ones	one	NOUN
fcis-9473	101	24	in	in	ADP
fcis-9473	101	25	terms	term	NOUN
fcis-9473	101	26	of	of	ADP
fcis-9473	101	27	classification	classification	NOUN
fcis-9473	101	28	accuracy	accuracy	NOUN
fcis-9473	101	29	.	.	PUNCT
fcis-9473	102	1	in	in	ADP
fcis-9473	102	2	terms	term	NOUN
fcis-9473	102	3	of	of	ADP
fcis-9473	102	4	map	map	NOUN
fcis-9473	102	5	,	,	PUNCT
fcis-9473	102	6	the	the	DET
fcis-9473	102	7	stacking	stacking	NOUN
fcis-9473	102	8	of	of	ADP
fcis-9473	102	9	different	different	ADJ
fcis-9473	102	10	modules	module	NOUN
fcis-9473	102	11	outperforms	outperform	VERB
fcis-9473	102	12	individual	individual	ADJ
fcis-9473	102	13	modules	module	NOUN
fcis-9473	102	14	.	.	PUNCT
fcis-9473	103	1	(	(	PUNCT
fcis-9473	103	2	3	3	X
fcis-9473	103	3	)	)	PUNCT
fcis-9473	103	4	comparing	compare	VERB
fcis-9473	103	5	the	the	DET
fcis-9473	103	6	experimental	experimental	ADJ
fcis-9473	103	7	results	result	NOUN
fcis-9473	103	8	of	of	ADP
fcis-9473	103	9	group	group	NOUN
fcis-9473	103	10	t7	t7	PROPN
fcis-9473	103	11	and	and	CCONJ
fcis-9473	103	12	groups	group	NOUN
fcis-9473	103	13	(	(	PUNCT
fcis-9473	103	14	t4	t4	PROPN
fcis-9473	103	15	,	,	PUNCT
fcis-9473	103	16	t5	t5	PROPN
fcis-9473	103	17	,	,	PUNCT
fcis-9473	103	18	t6	t6	PROPN
fcis-9473	103	19	)	)	PUNCT
fcis-9473	103	20	,	,	PUNCT
fcis-9473	103	21	although	although	SCONJ
fcis-9473	103	22	the	the	DET
fcis-9473	103	23	performance	performance	NOUN
fcis-9473	103	24	of	of	ADP
fcis-9473	103	25	the	the	DET
fcis-9473	103	26	proposed	propose	VERB
fcis-9473	103	27	method	method	NOUN
fcis-9473	103	28	on	on	ADP
fcis-9473	103	29	precision	precision	NOUN
fcis-9473	103	30	and	and	CCONJ
fcis-9473	103	31	map	map	NOUN
fcis-9473	103	32	is	be	AUX
fcis-9473	103	33	slightly	slightly	ADV
fcis-9473	103	34	lower	low	ADJ
fcis-9473	103	35	than	than	ADP
fcis-9473	103	36	that	that	PRON
fcis-9473	103	37	of	of	ADP
fcis-9473	103	38	group	group	PROPN
fcis-9473	103	39	t6	t6	PROPN
fcis-9473	103	40	,	,	PUNCT
fcis-9473	103	41	the	the	DET
fcis-9473	103	42	recall	recall	NOUN
fcis-9473	103	43	of	of	ADP
fcis-9473	103	44	group	group	PROPN
fcis-9473	103	45	t7	t7	PROPN
fcis-9473	103	46	is	be	AUX
fcis-9473	103	47	1.6	1.6	NUM
fcis-9473	103	48	%	%	NOUN
fcis-9473	103	49	higher	high	ADJ
fcis-9473	103	50	.	.	PUNCT
fcis-9473	104	1	this	this	PRON
fcis-9473	104	2	indicates	indicate	VERB
fcis-9473	104	3	that	that	SCONJ
fcis-9473	104	4	the	the	DET
fcis-9473	104	5	improved	improved	ADJ
fcis-9473	104	6	algorithm	algorithm	NOUN
fcis-9473	104	7	effectively	effectively	ADV
fcis-9473	104	8	reduces	reduce	VERB
fcis-9473	104	9	the	the	DET
fcis-9473	104	10	possibility	possibility	NOUN
fcis-9473	104	11	of	of	ADP
fcis-9473	104	12	missed	miss	VERB
fcis-9473	104	13	detections	detection	NOUN
fcis-9473	104	14	in	in	ADP
fcis-9473	104	15	ice	ice	NOUN
fcis-9473	104	16	accretion	accretion	NOUN
fcis-9473	104	17	target	target	NOUN
fcis-9473	104	18	detection	detection	NOUN
fcis-9473	104	19	.	.	PUNCT
fcis-9473	105	1	(	(	PUNCT
fcis-9473	105	2	4	4	X
fcis-9473	105	3	)	)	PUNCT
fcis-9473	105	4	observing	observe	VERB
fcis-9473	105	5	the	the	DET
fcis-9473	105	6	experimental	experimental	ADJ
fcis-9473	105	7	results	result	NOUN
fcis-9473	105	8	of	of	ADP
fcis-9473	105	9	groups	group	NOUN
fcis-9473	105	10	t0	t0	PROPN
fcis-9473	105	11	and	and	CCONJ
fcis-9473	105	12	t7	t7	PROPN
fcis-9473	105	13	,	,	PUNCT
fcis-9473	105	14	the	the	DET
fcis-9473	105	15	improved	improved	ADJ
fcis-9473	105	16	algorithm	algorithm	NOUN
fcis-9473	105	17	has	have	VERB
fcis-9473	105	18	higher	high	ADJ
fcis-9473	105	19	recall	recall	NOUN
fcis-9473	105	20	,	,	PUNCT
fcis-9473	105	21	accuracy	accuracy	NOUN
fcis-9473	105	22	,	,	PUNCT
fcis-9473	105	23	and	and	CCONJ
fcis-9473	105	24	map	map	NOUN
fcis-9473	105	25	than	than	ADP
fcis-9473	105	26	the	the	DET
fcis-9473	105	27	original	original	ADJ
fcis-9473	105	28	yolov5s	yolov5s	PROPN
fcis-9473	105	29	model	model	NOUN
fcis-9473	105	30	,	,	PUNCT
fcis-9473	105	31	with	with	ADP
fcis-9473	105	32	increases	increase	NOUN
fcis-9473	105	33	of	of	ADP
fcis-9473	105	34	18.02	18.02	NUM
fcis-9473	105	35	%	%	NOUN
fcis-9473	105	36	,	,	PUNCT
fcis-9473	105	37	4.15	4.15	NUM
fcis-9473	105	38	%	%	NOUN
fcis-9473	105	39	,	,	PUNCT
fcis-9473	105	40	and	and	CCONJ
fcis-9473	105	41	7.18	7.18	NUM
fcis-9473	105	42	%	%	NOUN
fcis-9473	105	43	,	,	PUNCT
fcis-9473	105	44	respectively	respectively	ADV
fcis-9473	105	45	.	.	PUNCT
fcis-9473	106	1	this	this	PRON
fcis-9473	106	2	demonstrates	demonstrate	VERB
fcis-9473	106	3	the	the	DET
fcis-9473	106	4	effectiveness	effectiveness	NOUN
fcis-9473	106	5	and	and	CCONJ
fcis-9473	106	6	feasibility	feasibility	NOUN
fcis-9473	106	7	of	of	ADP
fcis-9473	106	8	the	the	DET
fcis-9473	106	9	proposed	propose	VERB
fcis-9473	106	10	method	method	NOUN
fcis-9473	106	11	.	.	PUNCT
fcis-9473	107	1	figure	figure	NOUN
fcis-9473	107	2	4	4	NUM
fcis-9473	107	3	shows	show	VERB
fcis-9473	107	4	the	the	DET
fcis-9473	107	5	change	change	NOUN
fcis-9473	107	6	in	in	ADP
fcis-9473	107	7	accuracy	accuracy	NOUN
fcis-9473	107	8	during	during	ADP
fcis-9473	107	9	the	the	DET
fcis-9473	107	10	training	training	NOUN
fcis-9473	107	11	process	process	NOUN
fcis-9473	107	12	of	of	ADP
fcis-9473	107	13	the	the	DET
fcis-9473	107	14	yolov5s	yolov5s	PROPN
fcis-9473	107	15	and	and	CCONJ
fcis-9473	107	16	improved	improve	VERB
fcis-9473	107	17	-	-	PUNCT
fcis-9473	107	18	yolov5s	yolov5s	NOUN
fcis-9473	107	19	models	model	NOUN
fcis-9473	107	20	.	.	PUNCT
fcis-9473	108	1	as	as	SCONJ
fcis-9473	108	2	can	can	AUX
fcis-9473	108	3	be	be	AUX
fcis-9473	108	4	seen	see	VERB
fcis-9473	108	5	from	from	ADP
fcis-9473	108	6	figure	figure	NOUN
fcis-9473	108	7	4	4	NUM
fcis-9473	108	8	,	,	PUNCT
fcis-9473	108	9	as	as	SCONJ
fcis-9473	108	10	the	the	DET
fcis-9473	108	11	number	number	NOUN
fcis-9473	108	12	of	of	ADP
fcis-9473	108	13	epochs	epoch	NOUN
fcis-9473	108	14	increases	increase	NOUN
fcis-9473	108	15	,	,	PUNCT
fcis-9473	108	16	the	the	DET
fcis-9473	108	17	classification	classification	NOUN
fcis-9473	108	18	accuracy	accuracy	NOUN
fcis-9473	108	19	of	of	ADP
fcis-9473	108	20	the	the	DET
fcis-9473	108	21	improvedyolov5s	improvedyolov5s	PROPN
fcis-9473	108	22	model	model	NOUN
fcis-9473	108	23	gradually	gradually	ADV
fcis-9473	108	24	increases	increase	VERB
fcis-9473	108	25	and	and	CCONJ
fcis-9473	108	26	performs	perform	VERB
fcis-9473	108	27	better	well	ADJ
fcis-9473	108	28	than	than	ADP
fcis-9473	108	29	the	the	DET
fcis-9473	108	30	yolov5s	yolov5s	PROPN
fcis-9473	108	31	model	model	NOUN
fcis-9473	108	32	.	.	PUNCT
fcis-9473	109	1	this	this	PRON
fcis-9473	109	2	further	far	ADV
fcis-9473	109	3	validates	validate	VERB
fcis-9473	109	4	the	the	DET
fcis-9473	109	5	contribution	contribution	NOUN
fcis-9473	109	6	of	of	ADP
fcis-9473	109	7	the	the	DET
fcis-9473	109	8	proposed	propose	VERB
fcis-9473	109	9	modifications	modification	NOUN
fcis-9473	109	10	in	in	ADP
fcis-9473	109	11	the	the	DET
fcis-9473	109	12	improvedyolov5s	improvedyolov5s	PROPN
fcis-9473	109	13	model	model	NOUN
fcis-9473	109	14	,	,	PUNCT
fcis-9473	109	15	resulting	result	VERB
fcis-9473	109	16	in	in	ADP
fcis-9473	109	17	a	a	DET
fcis-9473	109	18	more	more	ADV
fcis-9473	109	19	accurate	accurate	ADJ
fcis-9473	109	20	object	object	NOUN
fcis-9473	109	21	detection	detection	NOUN
fcis-9473	109	22	for	for	ADP
fcis-9473	109	23	ice	ice	NOUN
fcis-9473	109	24	accretion	accretion	NOUN
fcis-9473	109	25	on	on	ADP
fcis-9473	109	26	transmission	transmission	NOUN
fcis-9473	109	27	lines	line	NOUN
fcis-9473	109	28	.	.	PUNCT
fcis-9473	110	1	fig	fig	NOUN
fcis-9473	110	2	4	4	NUM
fcis-9473	110	3	.	.	PUNCT
fcis-9473	110	4	comparison	comparison	NOUN
fcis-9473	110	5	of	of	ADP
fcis-9473	110	6	model	model	NOUN
fcis-9473	110	7	accuracy	accuracy	NOUN
fcis-9473	110	8	change	change	NOUN
fcis-9473	110	9	process	process	NOUN
fcis-9473	110	10	figure	figure	NOUN
fcis-9473	110	11	5	5	NUM
fcis-9473	110	12	shows	show	VERB
fcis-9473	110	13	the	the	DET
fcis-9473	110	14	comparison	comparison	NOUN
fcis-9473	110	15	of	of	ADP
fcis-9473	110	16	the	the	DET
fcis-9473	110	17	ap	ap	PROPN
fcis-9473	110	18	for	for	ADP
fcis-9473	110	19	various	various	ADJ
fcis-9473	110	20	detection	detection	NOUN
fcis-9473	110	21	categories	category	NOUN
fcis-9473	110	22	between	between	ADP
fcis-9473	110	23	yolov5s	yolov5s	PROPN
fcis-9473	110	24	and	and	CCONJ
fcis-9473	110	25	improvedyolov5s	improvedyolov5s	PROPN
fcis-9473	110	26	models	model	NOUN
fcis-9473	110	27	,	,	PUNCT
fcis-9473	110	28	reflecting	reflect	VERB
fcis-9473	110	29	the	the	DET
fcis-9473	110	30	specific	specific	ADJ
fcis-9473	110	31	distribution	distribution	NOUN
fcis-9473	110	32	of	of	ADP
fcis-9473	110	33	map	map	NOUN
fcis-9473	110	34	values	value	NOUN
fcis-9473	110	35	.	.	PUNCT
fcis-9473	111	1	the	the	DET
fcis-9473	111	2	following	follow	VERB
fcis-9473	111	3	analysis	analysis	NOUN
fcis-9473	111	4	can	can	AUX
fcis-9473	111	5	be	be	AUX
fcis-9473	111	6	drawn	draw	VERB
fcis-9473	111	7	from	from	ADP
fcis-9473	111	8	figure	figure	NOUN
fcis-9473	111	9	5	5	NUM
fcis-9473	111	10	:	:	PUNCT
fcis-9473	111	11	fig	fig	NOUN
fcis-9473	111	12	5	5	NUM
fcis-9473	111	13	.	.	PUNCT
fcis-9473	111	14	comparison	comparison	NOUN
fcis-9473	111	15	of	of	ADP
fcis-9473	111	16	average	average	ADJ
fcis-9473	111	17	precision	precision	NOUN
fcis-9473	111	18	(	(	PUNCT
fcis-9473	111	19	ap	ap	PROPN
fcis-9473	111	20	)	)	PUNCT
fcis-9473	111	21	for	for	ADP
fcis-9473	111	22	different	different	ADJ
fcis-9473	111	23	categories	category	NOUN
fcis-9473	111	24	detection	detection	NOUN
fcis-9473	111	25	(	(	PUNCT
fcis-9473	111	26	1	1	NUM
fcis-9473	111	27	)	)	PUNCT
fcis-9473	111	28	in	in	ADP
fcis-9473	111	29	different	different	ADJ
fcis-9473	111	30	detection	detection	NOUN
fcis-9473	111	31	categories	category	NOUN
fcis-9473	111	32	,	,	PUNCT
fcis-9473	111	33	the	the	DET
fcis-9473	111	34	ap	ap	PROPN
fcis-9473	111	35	values	value	NOUN
fcis-9473	111	36	of	of	ADP
fcis-9473	111	37	the	the	DET
fcis-9473	111	38	improved	improve	VERB
fcis-9473	111	39	-	-	PUNCT
fcis-9473	111	40	yolov5s	yolov5s	NOUN
fcis-9473	111	41	model	model	NOUN
fcis-9473	111	42	are	be	AUX
fcis-9473	111	43	higher	high	ADJ
fcis-9473	111	44	than	than	ADP
fcis-9473	111	45	those	those	PRON
fcis-9473	111	46	of	of	ADP
fcis-9473	111	47	the	the	DET
fcis-9473	111	48	yolov5s	yolov5s	PROPN
fcis-9473	111	49	model	model	NOUN
fcis-9473	111	50	,	,	PUNCT
fcis-9473	111	51	indicating	indicate	VERB
fcis-9473	111	52	that	that	SCONJ
fcis-9473	111	53	the	the	DET
fcis-9473	111	54	proposed	propose	VERB
fcis-9473	111	55	method	method	NOUN
fcis-9473	111	56	in	in	ADP
fcis-9473	111	57	this	this	DET
fcis-9473	111	58	study	study	NOUN
fcis-9473	111	59	generally	generally	ADV
fcis-9473	111	60	improves	improve	VERB
fcis-9473	111	61	the	the	DET
fcis-9473	111	62	recognition	recognition	NOUN
fcis-9473	111	63	capabilities	capability	NOUN
fcis-9473	111	64	.	.	PUNCT
fcis-9473	112	1	(	(	PUNCT
fcis-9473	112	2	2	2	X
fcis-9473	112	3	)	)	PUNCT
fcis-9473	112	4	although	although	SCONJ
fcis-9473	112	5	the	the	DET
fcis-9473	112	6	map	map	NOUN
fcis-9473	112	7	of	of	ADP
fcis-9473	112	8	the	the	DET
fcis-9473	112	9	improved	improve	VERB
fcis-9473	112	10	-	-	PUNCT
fcis-9473	112	11	yolov5s	yolov5s	NOUN
fcis-9473	112	12	model	model	NOUN
fcis-9473	112	13	is	be	AUX
fcis-9473	112	14	only	only	ADV
fcis-9473	112	15	64.69	64.69	NUM
fcis-9473	112	16	%	%	NOUN
fcis-9473	112	17	,	,	PUNCT
fcis-9473	112	18	the	the	DET
fcis-9473	112	19	detection	detection	NOUN
fcis-9473	112	20	performance	performance	NOUN
fcis-9473	112	21	for	for	ADP
fcis-9473	112	22	some	some	DET
fcis-9473	112	23	individual	individual	ADJ
fcis-9473	112	24	subclasses	subclass	NOUN
fcis-9473	112	25	can	can	AUX
fcis-9473	112	26	still	still	ADV
fcis-9473	112	27	reach	reach	VERB
fcis-9473	112	28	around	around	ADV
fcis-9473	112	29	75	75	NUM
fcis-9473	112	30	%	%	NOUN
fcis-9473	112	31	.	.	PUNCT
fcis-9473	113	1	4.3.2	4.3.2	X
fcis-9473	113	2	.	.	PUNCT
fcis-9473	114	1	model	model	NOUN
fcis-9473	114	2	performance	performance	NOUN
fcis-9473	114	3	comparison	comparison	NOUN
fcis-9473	114	4	experimental	experimental	ADJ
fcis-9473	114	5	results	result	NOUN
fcis-9473	114	6	and	and	CCONJ
fcis-9473	114	7	analysis	analysis	NOUN
fcis-9473	114	8	to	to	PART
fcis-9473	114	9	further	far	ADV
fcis-9473	114	10	verify	verify	VERB
fcis-9473	114	11	the	the	DET
fcis-9473	114	12	robustness	robustness	NOUN
fcis-9473	114	13	and	and	CCONJ
fcis-9473	114	14	generalization	generalization	NOUN
fcis-9473	114	15	capabilities	capability	NOUN
fcis-9473	114	16	of	of	ADP
fcis-9473	114	17	the	the	DET
fcis-9473	114	18	model	model	NOUN
fcis-9473	114	19	,	,	PUNCT
fcis-9473	114	20	an	an	DET
fcis-9473	114	21	additional	additional	ADJ
fcis-9473	114	22	50	50	NUM
fcis-9473	114	23	ice	ice	NOUN
fcis-9473	114	24	-	-	PUNCT
fcis-9473	114	25	covered	cover	VERB
fcis-9473	114	26	transmission	transmission	NOUN
fcis-9473	114	27	line	line	NOUN
fcis-9473	114	28	images	image	NOUN
fcis-9473	114	29	outside	outside	ADP
fcis-9473	114	30	the	the	DET
fcis-9473	114	31	test	test	NOUN
fcis-9473	114	32	set	set	NOUN
fcis-9473	114	33	are	be	AUX
fcis-9473	114	34	selected	select	VERB
fcis-9473	114	35	for	for	ADP
fcis-9473	114	36	evaluating	evaluate	VERB
fcis-9473	114	37	the	the	DET
fcis-9473	114	38	network	network	NOUN
fcis-9473	114	39	model	model	NOUN
fcis-9473	114	40	's	's	PART
fcis-9473	114	41	detection	detection	NOUN
fcis-9473	114	42	performance	performance	NOUN
fcis-9473	114	43	.	.	PUNCT
fcis-9473	115	1	table	table	NOUN
fcis-9473	115	2	2	2	NUM
fcis-9473	115	3	presents	present	VERB
fcis-9473	115	4	the	the	DET
fcis-9473	115	5	performance	performance	NOUN
fcis-9473	115	6	comparison	comparison	NOUN
fcis-9473	115	7	of	of	ADP
fcis-9473	115	8	different	different	ADJ
fcis-9473	115	9	models	model	NOUN
fcis-9473	115	10	under	under	ADP
fcis-9473	115	11	the	the	DET
fcis-9473	115	12	same	same	ADJ
fcis-9473	115	13	conditions	condition	NOUN
fcis-9473	115	14	,	,	PUNCT
fcis-9473	115	15	including	include	VERB
fcis-9473	115	16	both	both	PRON
fcis-9473	115	17	accuracy	accuracy	NOUN
fcis-9473	115	18	and	and	CCONJ
fcis-9473	115	19	speed	speed	NOUN
fcis-9473	115	20	metrics	metric	NOUN
fcis-9473	115	21	.	.	PUNCT
fcis-9473	116	1	table	table	NOUN
fcis-9473	116	2	2	2	NUM
fcis-9473	116	3	.	.	PUNCT
fcis-9473	116	4	model	model	NOUN
fcis-9473	116	5	performance	performance	NOUN
fcis-9473	116	6	comparison	comparison	NOUN
fcis-9473	116	7	algorithm	algorithm	NOUN
fcis-9473	116	8	detection	detection	NOUN
fcis-9473	116	9	speed	speed	NOUN
fcis-9473	116	10	/	/	SYM
fcis-9473	116	11	fps	fps	PROPN
fcis-9473	116	12	map/%	map/%	PROPN
fcis-9473	116	13	ssd	ssd	PROPN
fcis-9473	116	14	46	46	NUM
fcis-9473	116	15	48.26	48.26	NUM
fcis-9473	116	16	faster	fast	ADJ
fcis-9473	116	17	r	r	NOUN
fcis-9473	116	18	-	-	NOUN
fcis-9473	116	19	cnn	cnn	PROPN
fcis-9473	116	20	7	7	NUM
fcis-9473	116	21	50.61	50.61	NUM
fcis-9473	116	22	yolov3	yolov3	NOUN
fcis-9473	116	23	30	30	NUM
fcis-9473	116	24	51.67	51.67	NUM
fcis-9473	116	25	yolov4	yolov4	NOUN
fcis-9473	116	26	28	28	NUM
fcis-9473	116	27	63.42	63.42	NUM
fcis-9473	116	28	yolov5s	yolov5s	NOUN
fcis-9473	116	29	48	48	NUM
fcis-9473	116	30	61.36	61.36	NUM
fcis-9473	116	31	algorithm	algorithm	NOUN
fcis-9473	116	32	in	in	ADP
fcis-9473	116	33	this	this	DET
fcis-9473	116	34	article	article	NOUN
fcis-9473	116	35	34	34	NUM
fcis-9473	116	36	64.81	64.81	NUM
fcis-9473	116	37	the	the	DET
fcis-9473	116	38	detection	detection	NOUN
fcis-9473	116	39	speed	speed	NOUN
fcis-9473	116	40	of	of	ADP
fcis-9473	116	41	the	the	DET
fcis-9473	116	42	model	model	NOUN
fcis-9473	116	43	proposed	propose	VERB
fcis-9473	116	44	in	in	ADP
fcis-9473	116	45	this	this	DET
fcis-9473	116	46	study	study	NOUN
fcis-9473	116	47	is	be	AUX
fcis-9473	116	48	14	14	NUM
fcis-9473	116	49	fps	fps	NOUN
fcis-9473	116	50	lower	low	ADJ
fcis-9473	116	51	than	than	ADP
fcis-9473	116	52	the	the	DET
fcis-9473	116	53	original	original	ADJ
fcis-9473	116	54	yolov5s	yolov5s	PROPN
fcis-9473	116	55	model	model	NOUN
fcis-9473	116	56	due	due	ADP
fcis-9473	116	57	to	to	ADP
fcis-9473	116	58	the	the	DET
fcis-9473	116	59	increased	increase	VERB
fcis-9473	116	60	number	number	NOUN
fcis-9473	116	61	of	of	ADP
fcis-9473	116	62	parameters	parameter	NOUN
fcis-9473	116	63	introduced	introduce	VERB
fcis-9473	116	64	by	by	ADP
fcis-9473	116	65	the	the	DET
fcis-9473	116	66	attention	attention	NOUN
fcis-9473	116	67	module	module	NOUN
fcis-9473	116	68	.	.	PUNCT
fcis-9473	117	1	however	however	ADV
fcis-9473	117	2	,	,	PUNCT
fcis-9473	117	3	the	the	DET
fcis-9473	117	4	overall	overall	ADJ
fcis-9473	117	5	performance	performance	NOUN
fcis-9473	117	6	is	be	AUX
fcis-9473	117	7	still	still	ADV
fcis-9473	117	8	superior	superior	ADJ
fcis-9473	117	9	to	to	ADP
fcis-9473	117	10	yolov4	yolov4	PROPN
fcis-9473	117	11	,	,	PUNCT
fcis-9473	117	12	yolov3	yolov3	PROPN
fcis-9473	117	13	,	,	PUNCT
fcis-9473	117	14	and	and	CCONJ
fcis-9473	117	15	faster	fast	ADJ
fcis-9473	117	16	r	r	NOUN
fcis-9473	117	17	-	-	PUNCT
fcis-9473	117	18	cnn	cnn	NOUN
fcis-9473	117	19	.	.	PUNCT
fcis-9473	118	1	at	at	ADP
fcis-9473	118	2	the	the	DET
fcis-9473	118	3	same	same	ADJ
fcis-9473	118	4	time	time	NOUN
fcis-9473	118	5	,	,	PUNCT
fcis-9473	118	6	the	the	DET
fcis-9473	118	7	map	map	NOUN
fcis-9473	118	8	value	value	NOUN
fcis-9473	118	9	has	have	AUX
fcis-9473	118	10	increased	increase	VERB
fcis-9473	118	11	by	by	ADP
fcis-9473	118	12	3.45	3.45	NUM
fcis-9473	118	13	%	%	NOUN
fcis-9473	118	14	compared	compare	VERB
fcis-9473	118	15	to	to	ADP
fcis-9473	118	16	the	the	DET
fcis-9473	118	17	original	original	ADJ
fcis-9473	118	18	yolov5s	yolov5s	PROPN
fcis-9473	118	19	algorithm	algorithm	NOUN
fcis-9473	118	20	,	,	PUNCT
fcis-9473	118	21	achieving	achieve	VERB
fcis-9473	118	22	the	the	DET
fcis-9473	118	23	highest	high	ADJ
fcis-9473	118	24	map	map	NOUN
fcis-9473	118	25	metric	metric	ADJ
fcis-9473	118	26	value	value	NOUN
fcis-9473	118	27	among	among	ADP
fcis-9473	118	28	all	all	DET
fcis-9473	118	29	comparison	comparison	NOUN
fcis-9473	118	30	models	model	NOUN
fcis-9473	118	31	.	.	PUNCT
fcis-9473	119	1	this	this	PRON
fcis-9473	119	2	demonstrates	demonstrate	VERB
fcis-9473	119	3	that	that	SCONJ
fcis-9473	119	4	the	the	DET
fcis-9473	119	5	proposed	propose	VERB
fcis-9473	119	6	model	model	NOUN
fcis-9473	119	7	successfully	successfully	ADV
fcis-9473	119	8	maintains	maintain	VERB
fcis-9473	119	9	a	a	DET
fcis-9473	119	10	balance	balance	NOUN
fcis-9473	119	11	between	between	ADP
fcis-9473	119	12	detection	detection	NOUN
fcis-9473	119	13	speed	speed	NOUN
fcis-9473	119	14	and	and	CCONJ
fcis-9473	119	15	accuracy	accuracy	NOUN
fcis-9473	119	16	,	,	PUNCT
fcis-9473	119	17	providing	provide	VERB
fcis-9473	119	18	a	a	DET
fcis-9473	119	19	more	more	ADV
fcis-9473	119	20	effective	effective	ADJ
fcis-9473	119	21	solution	solution	NOUN
fcis-9473	119	22	for	for	ADP
fcis-9473	119	23	ice	ice	NOUN
fcis-9473	119	24	accretion	accretion	NOUN
fcis-9473	119	25	detection	detection	NOUN
fcis-9473	119	26	tasks	task	NOUN
fcis-9473	119	27	.	.	PUNCT
fcis-9473	120	1	5	5	X
fcis-9473	120	2	.	.	X
fcis-9473	120	3	summary	summary	NOUN
fcis-9473	120	4	and	and	CCONJ
fcis-9473	120	5	discussion	discussion	NOUN
fcis-9473	120	6	in	in	ADP
fcis-9473	120	7	response	response	NOUN
fcis-9473	120	8	to	to	ADP
fcis-9473	120	9	the	the	DET
fcis-9473	120	10	urgent	urgent	ADJ
fcis-9473	120	11	need	need	NOUN
fcis-9473	120	12	of	of	ADP
fcis-9473	120	13	electric	electric	ADJ
fcis-9473	120	14	power	power	NOUN
fcis-9473	120	15	companies	company	NOUN
fcis-9473	120	16	to	to	PART
fcis-9473	120	17	identify	identify	VERB
fcis-9473	120	18	ice	ice	NOUN
fcis-9473	120	19	accretion	accretion	NOUN
fcis-9473	120	20	conditions	condition	NOUN
fcis-9473	120	21	in	in	ADP
fcis-9473	120	22	transmission	transmission	NOUN
fcis-9473	120	23	line	line	NOUN
fcis-9473	120	24	images	image	NOUN
fcis-9473	120	25	,	,	PUNCT
fcis-9473	120	26	this	this	DET
fcis-9473	120	27	study	study	NOUN
fcis-9473	120	28	proposes	propose	VERB
fcis-9473	120	29	an	an	DET
fcis-9473	120	30	improved	improved	ADJ
fcis-9473	120	31	algorithm	algorithm	NOUN
fcis-9473	120	32	based	base	VERB
fcis-9473	120	33	on	on	ADP
fcis-9473	120	34	yolov5s	yolov5s	PROPN
fcis-9473	120	35	.	.	PUNCT
fcis-9473	121	1	through	through	ADP
fcis-9473	121	2	model	model	NOUN
fcis-9473	121	3	ablation	ablation	NOUN
fcis-9473	121	4	experiments	experiment	NOUN
fcis-9473	121	5	and	and	CCONJ
fcis-9473	121	6	model	model	ADJ
fcis-9473	121	7	comparison	comparison	NOUN
fcis-9473	121	8	experiments	experiment	NOUN
fcis-9473	121	9	,	,	PUNCT
fcis-9473	121	10	this	this	DET
fcis-9473	121	11	study	study	NOUN
fcis-9473	121	12	's	's	PART
fcis-9473	121	13	algorithm	algorithm	NOUN
fcis-9473	121	14	achieves	achieve	VERB
fcis-9473	121	15	significant	significant	ADJ
fcis-9473	121	16	improvements	improvement	NOUN
fcis-9473	121	17	in	in	ADP
fcis-9473	121	18	detection	detection	NOUN
fcis-9473	121	19	accuracy	accuracy	NOUN
fcis-9473	121	20	compared	compare	VERB
fcis-9473	121	21	to	to	ADP
fcis-9473	121	22	yolov5s	yolov5s	PROPN
fcis-9473	121	23	.	.	PUNCT
fcis-9473	122	1	however	however	ADV
fcis-9473	122	2	,	,	PUNCT
fcis-9473	122	3	the	the	DET
fcis-9473	122	4	detection	detection	NOUN
fcis-9473	122	5	speed	speed	NOUN
fcis-9473	122	6	of	of	ADP
fcis-9473	122	7	the	the	DET
fcis-9473	122	8	proposed	propose	VERB
fcis-9473	122	9	algorithm	algorithm	NOUN
fcis-9473	122	10	is	be	AUX
fcis-9473	122	11	somewhat	somewhat	ADV
fcis-9473	122	12	lower	low	ADJ
fcis-9473	122	13	than	than	ADP
fcis-9473	122	14	that	that	PRON
fcis-9473	122	15	of	of	ADP
fcis-9473	122	16	yolov5s	yolov5s	PROPN
fcis-9473	122	17	.	.	PUNCT
fcis-9473	123	1	also	also	ADV
fcis-9473	123	2	,	,	PUNCT
fcis-9473	123	3	merely	merely	ADV
fcis-9473	123	4	obtaining	obtain	VERB
fcis-9473	123	5	the	the	DET
fcis-9473	123	6	location	location	NOUN
fcis-9473	123	7	and	and	CCONJ
fcis-9473	123	8	category	category	NOUN
fcis-9473	123	9	information	information	NOUN
fcis-9473	123	10	of	of	ADP
fcis-9473	123	11	icecovered	icecovere	VERB
fcis-9473	123	12	transmission	transmission	NOUN
fcis-9473	123	13	lines	line	NOUN
fcis-9473	123	14	in	in	ADP
fcis-9473	123	15	image	image	NOUN
fcis-9473	123	16	recognition	recognition	NOUN
fcis-9473	123	17	and	and	CCONJ
fcis-9473	123	18	status	status	NOUN
fcis-9473	123	19	evaluation	evaluation	NOUN
fcis-9473	123	20	does	do	AUX
fcis-9473	123	21	not	not	PART
fcis-9473	123	22	accurately	accurately	ADV
fcis-9473	123	23	reflect	reflect	VERB
fcis-9473	123	24	the	the	DET
fcis-9473	123	25	ice	ice	NOUN
fcis-9473	123	26	accretion	accretion	NOUN
fcis-9473	123	27	status	status	NOUN
fcis-9473	123	28	.	.	PUNCT
fcis-9473	124	1	in	in	ADP
fcis-9473	124	2	the	the	DET
fcis-9473	124	3	future	future	NOUN
fcis-9473	124	4	,	,	PUNCT
fcis-9473	124	5	we	we	PRON
fcis-9473	124	6	will	will	AUX
fcis-9473	124	7	research	research	VERB
fcis-9473	124	8	transmission	transmission	NOUN
fcis-9473	124	9	line	line	NOUN
fcis-9473	124	10	ice	ice	NOUN
fcis-9473	124	11	accretion	accretion	NOUN
fcis-9473	124	12	identification	identification	NOUN
fcis-9473	124	13	methods	method	NOUN
fcis-9473	124	14	based	base	VERB
fcis-9473	124	15	on	on	ADP
fcis-9473	124	16	yolo	yolo	ADJ
fcis-9473	124	17	-	-	PUNCT
fcis-9473	124	18	optimized	optimize	VERB
fcis-9473	124	19	edge	edge	NOUN
fcis-9473	124	20	detection	detection	NOUN
fcis-9473	124	21	.	.	PUNCT
fcis-9473	125	1	by	by	ADP
fcis-9473	125	2	extracting	extract	VERB
fcis-9473	125	3	the	the	DET
fcis-9473	125	4	ice	ice	NOUN
fcis-9473	125	5	accretion	accretion	NOUN
fcis-9473	125	6	edges	edge	VERB
fcis-9473	125	7	and	and	CCONJ
fcis-9473	125	8	calculating	calculate	VERB
fcis-9473	125	9	ice	ice	NOUN
fcis-9473	125	10	thickness	thickness	NOUN
fcis-9473	125	11	,	,	PUNCT
fcis-9473	125	12	we	we	PRON
fcis-9473	125	13	aim	aim	VERB
fcis-9473	125	14	to	to	PART
fcis-9473	125	15	more	more	ADV
fcis-9473	125	16	accurately	accurately	ADV
fcis-9473	125	17	reflect	reflect	VERB
fcis-9473	125	18	101	101	NUM
fcis-9473	125	19	the	the	DET
fcis-9473	125	20	ice	ice	NOUN
fcis-9473	125	21	accretion	accretion	NOUN
fcis-9473	125	22	status	status	NOUN
fcis-9473	125	23	of	of	ADP
fcis-9473	125	24	transmission	transmission	NOUN
fcis-9473	125	25	lines	line	NOUN
fcis-9473	125	26	.	.	PUNCT
fcis-9473	126	1	references	reference	NOUN
fcis-9473	126	2	[	[	X
fcis-9473	126	3	1	1	X
fcis-9473	126	4	]	]	PUNCT
fcis-9473	126	5	yang	yang	PROPN
fcis-9473	126	6	lin	lin	PROPN
fcis-9473	126	7	,	,	PUNCT
fcis-9473	126	8	hao	hao	PROPN
fcis-9473	126	9	yanpeng	yanpeng	PROPN
fcis-9473	126	10	,	,	PUNCT
fcis-9473	126	11	li	li	PROPN
fcis-9473	126	12	weiguo	weiguo	PROPN
fcis-9473	126	13	,	,	PUNCT
fcis-9473	126	14	et	et	PROPN
fcis-9473	126	15	al	al	PROPN
fcis-9473	126	16	.	.	PUNCT
fcis-9473	127	1	a	a	DET
fcis-9473	127	2	mechanical	mechanical	ADJ
fcis-9473	127	3	calculation	calculation	NOUN
fcis-9473	127	4	model	model	NOUN
fcis-9473	127	5	for	for	ADP
fcis-9473	127	6	on	on	ADP
fcis-9473	127	7	-	-	PUNCT
fcis-9473	127	8	line	line	NOUN
fcis-9473	127	9	icing	icing	NOUN
fcis-9473	127	10	-	-	PUNCT
fcis-9473	127	11	monitoring	monitor	VERB
fcis-9473	127	12	system	system	NOUN
fcis-9473	127	13	of	of	ADP
fcis-9473	127	14	overhead	overhead	ADJ
fcis-9473	127	15	transmission	transmission	NOUN
fcis-9473	127	16	lines	line	NOUN
fcis-9473	128	1	[	[	X
fcis-9473	128	2	j	j	X
fcis-9473	128	3	]	]	X
fcis-9473	128	4	.	.	PUNCT
fcis-9473	129	1	proceedings	proceeding	NOUN
fcis-9473	129	2	of	of	ADP
fcis-9473	129	3	the	the	DET
fcis-9473	129	4	csee	csee	NOUN
fcis-9473	129	5	,	,	PUNCT
fcis-9473	129	6	2010	2010	NUM
fcis-9473	129	7	,	,	PUNCT
fcis-9473	129	8	30(19):100	30(19):100	NUM
fcis-9473	129	9	-	-	SYM
fcis-9473	129	10	105	105	NUM
fcis-9473	129	11	.	.	PUNCT
fcis-9473	130	1	[	[	X
fcis-9473	130	2	2	2	NUM
fcis-9473	130	3	]	]	X
fcis-9473	130	4	zhang	zhang	PROPN
fcis-9473	130	5	yan	yan	PROPN
fcis-9473	130	6	,	,	PUNCT
fcis-9473	130	7	chi	chi	PROPN
fcis-9473	130	8	zhixiang	zhixiang	PROPN
fcis-9473	130	9	,	,	PUNCT
fcis-9473	130	10	zhang	zhang	PROPN
fcis-9473	130	11	guoyan	guoyan	PROPN
fcis-9473	130	12	.	.	PUNCT
fcis-9473	131	1	relationship	relationship	NOUN
fcis-9473	131	2	between	between	ADP
fcis-9473	131	3	daban	daban	PROPN
fcis-9473	131	4	mountain	mountain	PROPN
fcis-9473	131	5	transmission	transmission	NOUN
fcis-9473	131	6	line	line	NOUN
fcis-9473	131	7	ice	ice	NOUN
fcis-9473	131	8	cover	cover	NOUN
fcis-9473	131	9	phenomenon	phenomenon	NOUN
fcis-9473	131	10	and	and	CCONJ
fcis-9473	131	11	meteorologic	meteorologic	ADJ
fcis-9473	131	12	condition	condition	NOUN
fcis-9473	132	1	[	[	X
fcis-9473	132	2	j	j	X
fcis-9473	132	3	]	]	X
fcis-9473	132	4	.	.	PUNCT
fcis-9473	133	1	qinghai	qinghai	PROPN
fcis-9473	133	2	electric	electric	PROPN
fcis-9473	133	3	power	power	PROPN
fcis-9473	133	4	,	,	PUNCT
fcis-9473	133	5	2005	2005	NUM
fcis-9473	133	6	,	,	PUNCT
fcis-9473	133	7	24(1):33	24(1):33	NUM
fcis-9473	133	8	-	-	SYM
fcis-9473	133	9	36	36	NUM
fcis-9473	133	10	.	.	PUNCT
fcis-9473	134	1	[	[	X
fcis-9473	134	2	3	3	NUM
fcis-9473	134	3	]	]	X
fcis-9473	134	4	cheng	cheng	PROPN
fcis-9473	134	5	shengfeng	shengfeng	PROPN
fcis-9473	134	6	.	.	PUNCT
fcis-9473	135	1	study	study	NOUN
fcis-9473	135	2	and	and	CCONJ
fcis-9473	135	3	application	application	NOUN
fcis-9473	135	4	status	status	NOUN
fcis-9473	135	5	of	of	ADP
fcis-9473	135	6	on	on	ADP
fcis-9473	135	7	-	-	PUNCT
fcis-9473	135	8	line	line	NOUN
fcis-9473	135	9	icing	icing	NOUN
fcis-9473	135	10	-	-	PUNCT
fcis-9473	135	11	monitoring	monitor	VERB
fcis-9473	135	12	technology	technology	NOUN
fcis-9473	135	13	for	for	ADP
fcis-9473	135	14	overhead	overhead	ADJ
fcis-9473	135	15	transmission	transmission	NOUN
fcis-9473	135	16	lines	line	NOUN
fcis-9473	136	1	[	[	X
fcis-9473	136	2	c	c	X
fcis-9473	136	3	]	]	X
fcis-9473	136	4	//proceedings	//proceeding	NOUN
fcis-9473	136	5	of	of	ADP
fcis-9473	136	6	the	the	DET
fcis-9473	136	7	2018	2018	NUM
fcis-9473	136	8	annual	annual	ADJ
fcis-9473	136	9	conference	conference	NOUN
fcis-9473	136	10	of	of	ADP
fcis-9473	136	11	jiangxi	jiangxi	PROPN
fcis-9473	136	12	society	society	PROPN
fcis-9473	136	13	of	of	ADP
fcis-9473	136	14	electrical	electrical	ADJ
fcis-9473	136	15	engineering	engineering	NOUN
fcis-9473	136	16	,	,	PUNCT
fcis-9473	136	17	nanchang	nanchang	PROPN
fcis-9473	136	18	:	:	PUNCT
fcis-9473	136	19	china	china	PROPN
fcis-9473	136	20	electrical	electrical	ADJ
fcis-9473	136	21	engineering	engineering	NOUN
fcis-9473	136	22	society	society	NOUN
fcis-9473	136	23	,	,	PUNCT
fcis-9473	136	24	2019	2019	NUM
fcis-9473	136	25	.	.	PUNCT
fcis-9473	137	1	[	[	X
fcis-9473	137	2	4	4	NUM
fcis-9473	137	3	]	]	X
fcis-9473	137	4	li	li	PROPN
fcis-9473	137	5	hao	hao	PROPN
fcis-9473	137	6	,	,	PUNCT
fcis-9473	137	7	fu	fu	PROPN
fcis-9473	137	8	chuang	chuang	PROPN
fcis-9473	137	9	,	,	PUNCT
fcis-9473	137	10	liu	liu	PROPN
fcis-9473	137	11	xu	xu	PROPN
fcis-9473	137	12	,	,	PUNCT
fcis-9473	137	13	et	et	PROPN
fcis-9473	137	14	al	al	PROPN
fcis-9473	137	15	.	.	PROPN
fcis-9473	137	16	overhead	overhead	ADJ
fcis-9473	137	17	transmission	transmission	NOUN
fcis-9473	137	18	line	line	NOUN
fcis-9473	137	19	ice	ice	NOUN
fcis-9473	137	20	monitoring	monitoring	NOUN
fcis-9473	137	21	system	system	NOUN
fcis-9473	137	22	of	of	ADP
fcis-9473	137	23	china	china	PROPN
fcis-9473	137	24	southern	southern	PROPN
fcis-9473	137	25	power	power	PROPN
fcis-9473	137	26	grid	grid	NOUN
fcis-9473	137	27	and	and	CCONJ
fcis-9473	137	28	its	its	PRON
fcis-9473	137	29	operation	operation	NOUN
fcis-9473	137	30	analysis	analysis	NOUN
fcis-9473	138	1	[	[	X
fcis-9473	138	2	j	j	X
fcis-9473	138	3	]	]	X
fcis-9473	138	4	.	.	PUNCT
fcis-9473	139	1	shaanxi	shaanxi	PROPN
fcis-9473	139	2	electric	electric	PROPN
fcis-9473	139	3	power	power	PROPN
fcis-9473	139	4	,	,	PUNCT
fcis-9473	139	5	2013	2013	NUM
fcis-9473	139	6	,	,	PUNCT
fcis-9473	139	7	41(4	41(4	NUM
fcis-9473	139	8	):	):	PUNCT
fcis-9473	139	9	2023	2023	NUM
fcis-9473	139	10	.	.	PUNCT
fcis-9473	140	1	[	[	X
fcis-9473	140	2	5	5	NUM
fcis-9473	140	3	]	]	X
fcis-9473	140	4	hua	hua	PROPN
fcis-9473	140	5	shenbing	shenbing	NOUN
fcis-9473	140	6	,	,	PUNCT
fcis-9473	140	7	feng	feng	PROPN
fcis-9473	140	8	shuanglei	shuanglei	NOUN
fcis-9473	140	9	,	,	PUNCT
fcis-9473	140	10	jin	jin	NOUN
fcis-9473	140	11	shuanglong	shuanglong	NOUN
fcis-9473	140	12	,	,	PUNCT
fcis-9473	140	13	et	et	PROPN
fcis-9473	140	14	al	al	PROPN
fcis-9473	140	15	.	.	PUNCT
fcis-9473	140	16	evaluation	evaluation	NOUN
fcis-9473	140	17	of	of	ADP
fcis-9473	140	18	transmission	transmission	NOUN
fcis-9473	140	19	line	line	NOUN
fcis-9473	140	20	icing	ice	VERB
fcis-9473	140	21	prediction	prediction	NOUN
fcis-9473	140	22	products	product	NOUN
fcis-9473	140	23	based	base	VERB
fcis-9473	140	24	on	on	ADP
fcis-9473	140	25	fraction	fraction	NOUN
fcis-9473	140	26	skill	skill	NOUN
fcis-9473	140	27	score	score	NOUN
fcis-9473	141	1	[	[	X
fcis-9473	141	2	j	j	X
fcis-9473	141	3	]	]	X
fcis-9473	141	4	.	.	PUNCT
fcis-9473	142	1	high	high	ADJ
fcis-9473	142	2	voltage	voltage	NOUN
fcis-9473	142	3	engineering,2020	engineering,2020	NOUN
fcis-9473	142	4	,	,	PUNCT
fcis-9473	142	5	46(4):1450	46(4):1450	PROPN
fcis-9473	142	6	-	-	SYM
fcis-9473	142	7	1457	1457	NUM
fcis-9473	142	8	.	.	PUNCT
fcis-9473	143	1	[	[	X
fcis-9473	143	2	6	6	NUM
fcis-9473	143	3	]	]	X
fcis-9473	143	4	sun	sun	NOUN
fcis-9473	143	5	fengjie	fengjie	PROPN
fcis-9473	143	6	,	,	PUNCT
fcis-9473	143	7	yang	yang	PROPN
fcis-9473	143	8	zhenxun	zhenxun	PROPN
fcis-9473	143	9	,	,	PUNCT
fcis-9473	143	10	li	li	PROPN
fcis-9473	143	11	yuanyuan	yuanyuan	PROPN
fcis-9473	143	12	,	,	PUNCT
fcis-9473	143	13	et	et	PROPN
fcis-9473	143	14	al	al	PROPN
fcis-9473	143	15	.	.	PUNCT
fcis-9473	143	16	methods	method	NOUN
fcis-9473	143	17	of	of	ADP
fcis-9473	143	18	transmission	transmission	NOUN
fcis-9473	143	19	line	line	NOUN
fcis-9473	143	20	target	target	NOUN
fcis-9473	143	21	recognition	recognition	NOUN
fcis-9473	144	1	[	[	X
fcis-9473	144	2	j	j	X
fcis-9473	144	3	]	]	X
fcis-9473	144	4	.	.	PUNCT
fcis-9473	145	1	journal	journal	PROPN
fcis-9473	145	2	of	of	ADP
fcis-9473	145	3	image	image	NOUN
fcis-9473	145	4	and	and	CCONJ
fcis-9473	145	5	graphics	graphic	NOUN
fcis-9473	145	6	,	,	PUNCT
fcis-9473	145	7	2012	2012	NUM
fcis-9473	145	8	,	,	PUNCT
fcis-9473	145	9	17(3	17(3	NUM
fcis-9473	145	10	):	):	PUNCT
fcis-9473	145	11	349	349	NUM
fcis-9473	145	12	-	-	SYM
fcis-9473	145	13	356	356	NUM
fcis-9473	145	14	.	.	PUNCT
fcis-9473	146	1	[	[	X
fcis-9473	146	2	7	7	X
fcis-9473	146	3	]	]	X
fcis-9473	146	4	liu	liu	PROPN
fcis-9473	146	5	s	s	PROPN
fcis-9473	146	6	,	,	PUNCT
fcis-9473	146	7	qi	qi	PROPN
fcis-9473	146	8	l	l	NOUN
fcis-9473	146	9	,	,	PUNCT
fcis-9473	146	10	qin	qin	PROPN
fcis-9473	146	11	h	h	PROPN
fcis-9473	146	12	,	,	PUNCT
fcis-9473	146	13	et	et	PROPN
fcis-9473	146	14	al	al	PROPN
fcis-9473	146	15	.	.	PROPN
fcis-9473	146	16	path	path	PROPN
fcis-9473	146	17	aggregation	aggregation	NOUN
fcis-9473	146	18	network	network	NOUN
fcis-9473	146	19	for	for	ADP
fcis-9473	146	20	instance	instance	NOUN
fcis-9473	146	21	segmentation	segmentation	NOUN
fcis-9473	147	1	[	[	X
fcis-9473	147	2	c	c	X
fcis-9473	147	3	]	]	X
fcis-9473	147	4	//	//	NUM
fcis-9473	147	5	proceedings	proceeding	NOUN
fcis-9473	147	6	of	of	ADP
fcis-9473	147	7	the	the	DET
fcis-9473	147	8	ieee	ieee	NOUN
fcis-9473	147	9	conference	conference	NOUN
fcis-9473	147	10	on	on	ADP
fcis-9473	147	11	computer	computer	NOUN
fcis-9473	147	12	vision	vision	NOUN
fcis-9473	147	13	and	and	CCONJ
fcis-9473	147	14	pattern	pattern	NOUN
fcis-9473	147	15	recognition	recognition	NOUN
fcis-9473	147	16	,	,	PUNCT
fcis-9473	147	17	2018	2018	NUM
fcis-9473	147	18	:	:	PUNCT
fcis-9473	147	19	8759	8759	NUM
fcis-9473	147	20	-	-	SYM
fcis-9473	147	21	8768	8768	NUM
fcis-9473	147	22	.	.	PUNCT
fcis-9473	148	1	[	[	X
fcis-9473	148	2	8	8	NUM
fcis-9473	148	3	]	]	X
fcis-9473	148	4	tan	tan	PROPN
fcis-9473	148	5	mingxing	mingxing	NOUN
fcis-9473	148	6	,	,	PUNCT
fcis-9473	148	7	pang	pang	NOUN
fcis-9473	148	8	ruoming	ruoming	NOUN
fcis-9473	148	9	,	,	PUNCT
fcis-9473	148	10	le	le	X
fcis-9473	148	11	quoc	quoc	PROPN
fcis-9473	148	12	.	.	PUNCT
fcis-9473	149	1	efficientdet	efficientdet	PROPN
fcis-9473	149	2	:	:	PUNCT
fcis-9473	149	3	scalable	scalable	ADJ
fcis-9473	149	4	and	and	CCONJ
fcis-9473	149	5	efficient	efficient	ADJ
fcis-9473	149	6	object	object	NOUN
fcis-9473	149	7	detection	detection	NOUN
fcis-9473	150	1	[	[	X
fcis-9473	150	2	eb	eb	PROPN
fcis-9473	150	3	/	/	SYM
fcis-9473	150	4	ol	ol	PROPN
fcis-9473	150	5	]	]	PUNCT
fcis-9473	150	6	.	.	PUNCT
fcis-9473	151	1	(	(	PUNCT
fcis-9473	151	2	2019	2019	NUM
fcis-9473	151	3	-	-	SYM
fcis-9473	151	4	11	11	NUM
fcis-9473	151	5	-	-	SYM
fcis-9473	151	6	20	20	NUM
fcis-9473	151	7	)	)	PUNCT
fcis-9473	152	1	[	[	X
fcis-9473	152	2	2022	2022	NUM
fcis-9473	152	3	-	-	SYM
fcis-9473	152	4	02	02	NUM
fcis-9473	152	5	-	-	NUM
fcis-9473	152	6	12	12	NUM
fcis-9473	152	7	]	]	PUNCT
fcis-9473	152	8	.	.	PUNCT
fcis-9473	153	1	https	https	NOUN
fcis-9473	153	2	:	:	PUNCT
fcis-9473	153	3	//arxiv.org	//arxiv.org	X
fcis-9473	153	4	/	/	SYM
fcis-9473	153	5	abs/1911.09070	abs/1911.09070	NOUN
fcis-9473	153	6	.	.	PUNCT
fcis-9473	154	1	[	[	X
fcis-9473	154	2	9	9	NUM
fcis-9473	154	3	]	]	X
fcis-9473	154	4	liu	liu	PROPN
fcis-9473	154	5	ze	ze	PROPN
fcis-9473	154	6	,	,	PUNCT
fcis-9473	154	7	lin	lin	PROPN
fcis-9473	154	8	yutong	yutong	PROPN
fcis-9473	154	9	,	,	PUNCT
fcis-9473	154	10	cao	cao	PROPN
fcis-9473	154	11	yue	yue	PROPN
fcis-9473	154	12	,	,	PUNCT
fcis-9473	154	13	et	et	PROPN
fcis-9473	154	14	al	al	PROPN
fcis-9473	154	15	.	.	PROPN
fcis-9473	154	16	swin	swin	PROPN
fcis-9473	154	17	transformer	transformer	PROPN
fcis-9473	154	18	:	:	PUNCT
fcis-9473	154	19	hierarchical	hierarchical	ADJ
fcis-9473	154	20	vision	vision	NOUN
fcis-9473	154	21	transformer	transformer	NOUN
fcis-9473	154	22	using	use	VERB
fcis-9473	154	23	shifted	shift	VERB
fcis-9473	154	24	windows	window	NOUN
fcis-9473	154	25	[	[	X
fcis-9473	154	26	c	c	X
fcis-9473	154	27	]	]	X
fcis-9473	154	28	//	//	X
fcis-9473	154	29	2021	2021	NUM
fcis-9473	154	30	ieee	ieee	NOUN
fcis-9473	154	31	/	/	SYM
fcis-9473	154	32	cvf	cvf	NOUN
fcis-9473	154	33	international	international	ADJ
fcis-9473	154	34	conference	conference	NOUN
fcis-9473	154	35	on	on	ADP
fcis-9473	154	36	computer	computer	NOUN
fcis-9473	154	37	vision	vision	NOUN
fcis-9473	154	38	,	,	PUNCT
fcis-9473	154	39	2021	2021	NUM
fcis-9473	154	40	:	:	PUNCT
fcis-9473	154	41	9992	9992	NUM
fcis-9473	154	42	-	-	SYM
fcis-9473	154	43	10002	10002	NUM
fcis-9473	154	44	.	.	PUNCT