id	sid	tid	token	lemma	pos
ajst-18569	1	1	academic	academic	ADJ
ajst-18569	1	2	journal	journal	NOUN
ajst-18569	1	3	of	of	ADP
ajst-18569	1	4	science	science	NOUN
ajst-18569	1	5	and	and	CCONJ
ajst-18569	1	6	technology	technology	NOUN
ajst-18569	1	7	issn	issn	NOUN
ajst-18569	1	8	:	:	PUNCT
ajst-18569	1	9	2771	2771	NUM
ajst-18569	1	10	-	-	SYM
ajst-18569	1	11	3032	3032	NUM
ajst-18569	1	12	|	|	NOUN
ajst-18569	1	13	vol	vol	NOUN
ajst-18569	1	14	.	.	PROPN
ajst-18569	2	1	9	9	NUM
ajst-18569	2	2	,	,	PUNCT
ajst-18569	2	3	no	no	INTJ
ajst-18569	2	4	.	.	NOUN
ajst-18569	2	5	3	3	NUM
ajst-18569	2	6	,	,	PUNCT
ajst-18569	2	7	2024	2024	NUM
ajst-18569	2	8	189	189	NUM
ajst-18569	2	9	power	power	NOUN
ajst-18569	2	10	system	system	NOUN
ajst-18569	3	1	to	to	PART
ajst-18569	3	2	prevent	prevent	VERB
ajst-18569	3	3	external	external	ADJ
ajst-18569	3	4	damage	damage	NOUN
ajst-18569	3	5	detection	detection	NOUN
ajst-18569	3	6	method	method	NOUN
ajst-18569	3	7	jiacheng	jiacheng	PROPN
ajst-18569	3	8	tang	tang	PROPN
ajst-18569	3	9	,	,	PUNCT
ajst-18569	3	10	binglin	binglin	PROPN
ajst-18569	3	11	li	li	PROPN
ajst-18569	3	12	*	*	PROPN
ajst-18569	3	13	school	school	PROPN
ajst-18569	3	14	of	of	ADP
ajst-18569	3	15	mechatronic	mechatronic	ADJ
ajst-18569	3	16	engineering	engineering	NOUN
ajst-18569	3	17	,	,	PUNCT
ajst-18569	3	18	southwest	southwest	ADJ
ajst-18569	3	19	petroleum	petroleum	PROPN
ajst-18569	3	20	university	university	PROPN
ajst-18569	3	21	,	,	PUNCT
ajst-18569	3	22	chengdu	chengdu	PROPN
ajst-18569	3	23	610500	610500	NUM
ajst-18569	3	24	,	,	PUNCT
ajst-18569	3	25	china	china	PROPN
ajst-18569	3	26	*	*	PUNCT
ajst-18569	3	27	corresponding	correspond	VERB
ajst-18569	3	28	author	author	NOUN
ajst-18569	3	29	abstract	abstract	NOUN
ajst-18569	3	30	:	:	PUNCT
ajst-18569	3	31	an	an	DET
ajst-18569	3	32	improved	improved	ADJ
ajst-18569	3	33	yolov5s	yolov5s	PROPN
ajst-18569	3	34	multi	multi	ADJ
ajst-18569	3	35	-	-	ADJ
ajst-18569	3	36	scale	scale	ADJ
ajst-18569	3	37	target	target	NOUN
ajst-18569	3	38	detection	detection	NOUN
ajst-18569	3	39	algorithm	algorithm	NOUN
ajst-18569	3	40	is	be	AUX
ajst-18569	3	41	proposed	propose	VERB
ajst-18569	3	42	to	to	PART
ajst-18569	3	43	address	address	VERB
ajst-18569	3	44	the	the	DET
ajst-18569	3	45	increasingly	increasingly	ADV
ajst-18569	3	46	threatening	threatening	ADJ
ajst-18569	3	47	problem	problem	NOUN
ajst-18569	3	48	of	of	ADP
ajst-18569	3	49	foreign	foreign	ADJ
ajst-18569	3	50	object	object	NOUN
ajst-18569	3	51	intrusion	intrusion	NOUN
ajst-18569	3	52	in	in	ADP
ajst-18569	3	53	power	power	NOUN
ajst-18569	3	54	transmission	transmission	NOUN
ajst-18569	3	55	lines	line	NOUN
ajst-18569	3	56	,	,	PUNCT
ajst-18569	3	57	which	which	PRON
ajst-18569	3	58	poses	pose	VERB
ajst-18569	3	59	a	a	DET
ajst-18569	3	60	risk	risk	NOUN
ajst-18569	3	61	to	to	ADP
ajst-18569	3	62	the	the	DET
ajst-18569	3	63	safety	safety	NOUN
ajst-18569	3	64	and	and	CCONJ
ajst-18569	3	65	stable	stable	ADJ
ajst-18569	3	66	operation	operation	NOUN
ajst-18569	3	67	of	of	ADP
ajst-18569	3	68	the	the	DET
ajst-18569	3	69	power	power	NOUN
ajst-18569	3	70	grid	grid	NOUN
ajst-18569	3	71	.	.	PUNCT
ajst-18569	4	1	to	to	PART
ajst-18569	4	2	enhance	enhance	VERB
ajst-18569	4	3	the	the	DET
ajst-18569	4	4	model	model	NOUN
ajst-18569	4	5	's	's	PART
ajst-18569	4	6	ability	ability	NOUN
ajst-18569	4	7	to	to	PART
ajst-18569	4	8	extract	extract	VERB
ajst-18569	4	9	features	feature	NOUN
ajst-18569	4	10	of	of	ADP
ajst-18569	4	11	different	different	ADJ
ajst-18569	4	12	sizes	size	NOUN
ajst-18569	4	13	,	,	PUNCT
ajst-18569	4	14	a	a	DET
ajst-18569	4	15	new	new	ADJ
ajst-18569	4	16	c3	c3	NOUN
ajst-18569	4	17	feature	feature	NOUN
ajst-18569	4	18	extraction	extraction	NOUN
ajst-18569	4	19	module	module	NOUN
ajst-18569	4	20	was	be	AUX
ajst-18569	4	21	designed	design	VERB
ajst-18569	4	22	.	.	PUNCT
ajst-18569	5	1	it	it	PRON
ajst-18569	5	2	uses	use	VERB
ajst-18569	5	3	deformable	deformable	ADJ
ajst-18569	5	4	convolutional	convolutional	ADJ
ajst-18569	5	5	networks	network	NOUN
ajst-18569	5	6	to	to	PART
ajst-18569	5	7	replace	replace	VERB
ajst-18569	5	8	the	the	DET
ajst-18569	5	9	original	original	ADJ
ajst-18569	5	10	fixed	fix	VERB
ajst-18569	5	11	convolutional	convolutional	ADJ
ajst-18569	5	12	layers	layer	NOUN
ajst-18569	5	13	,	,	PUNCT
ajst-18569	5	14	and	and	CCONJ
ajst-18569	5	15	then	then	ADV
ajst-18569	5	16	introduces	introduce	VERB
ajst-18569	5	17	the	the	DET
ajst-18569	5	18	eca	eca	NOUN
ajst-18569	5	19	attention	attention	NOUN
ajst-18569	5	20	mechanism	mechanism	NOUN
ajst-18569	5	21	to	to	PART
ajst-18569	5	22	take	take	VERB
ajst-18569	5	23	into	into	ADP
ajst-18569	5	24	account	account	NOUN
ajst-18569	5	25	global	global	ADJ
ajst-18569	5	26	context	context	NOUN
ajst-18569	5	27	information	information	NOUN
ajst-18569	5	28	,	,	PUNCT
ajst-18569	5	29	reducing	reduce	VERB
ajst-18569	5	30	the	the	DET
ajst-18569	5	31	decrease	decrease	NOUN
ajst-18569	5	32	in	in	ADP
ajst-18569	5	33	model	model	NOUN
ajst-18569	5	34	detection	detection	NOUN
ajst-18569	5	35	accuracy	accuracy	NOUN
ajst-18569	5	36	caused	cause	VERB
ajst-18569	5	37	by	by	ADP
ajst-18569	5	38	feature	feature	NOUN
ajst-18569	5	39	loss	loss	NOUN
ajst-18569	5	40	.	.	PUNCT
ajst-18569	6	1	an	an	DET
ajst-18569	6	2	improved	improved	ADJ
ajst-18569	6	3	form	form	NOUN
ajst-18569	6	4	of	of	ADP
ajst-18569	6	5	nwd	nwd	ADJ
ajst-18569	6	6	fusion	fusion	NOUN
ajst-18569	6	7	wise	wise	ADJ
ajst-18569	6	8	iou	iou	NOUN
ajst-18569	6	9	is	be	AUX
ajst-18569	6	10	proposed	propose	VERB
ajst-18569	6	11	as	as	ADP
ajst-18569	6	12	the	the	DET
ajst-18569	6	13	network	network	NOUN
ajst-18569	6	14	's	's	PART
ajst-18569	6	15	predicted	predict	VERB
ajst-18569	6	16	box	box	NOUN
ajst-18569	6	17	regression	regression	NOUN
ajst-18569	6	18	loss	loss	NOUN
ajst-18569	6	19	function	function	NOUN
ajst-18569	6	20	,	,	PUNCT
ajst-18569	6	21	improving	improve	VERB
ajst-18569	6	22	the	the	DET
ajst-18569	6	23	model	model	NOUN
ajst-18569	6	24	's	's	PART
ajst-18569	6	25	generalization	generalization	NOUN
ajst-18569	6	26	ability	ability	NOUN
ajst-18569	6	27	and	and	CCONJ
ajst-18569	6	28	its	its	PRON
ajst-18569	6	29	ability	ability	NOUN
ajst-18569	6	30	to	to	PART
ajst-18569	6	31	detect	detect	VERB
ajst-18569	6	32	features	feature	NOUN
ajst-18569	6	33	of	of	ADP
ajst-18569	6	34	small	small	ADJ
ajst-18569	6	35	targets	target	NOUN
ajst-18569	6	36	,	,	PUNCT
ajst-18569	6	37	and	and	CCONJ
ajst-18569	6	38	achieving	achieve	VERB
ajst-18569	6	39	faster	fast	ADJ
ajst-18569	6	40	network	network	NOUN
ajst-18569	6	41	convergence	convergence	NOUN
ajst-18569	6	42	speed	speed	NOUN
ajst-18569	6	43	.	.	PUNCT
ajst-18569	7	1	experimental	experimental	ADJ
ajst-18569	7	2	results	result	NOUN
ajst-18569	7	3	show	show	VERB
ajst-18569	7	4	that	that	SCONJ
ajst-18569	7	5	the	the	DET
ajst-18569	7	6	improved	improved	ADJ
ajst-18569	7	7	algorithm	algorithm	NOUN
ajst-18569	7	8	has	have	AUX
ajst-18569	7	9	increased	increase	VERB
ajst-18569	7	10	the	the	DET
ajst-18569	7	11	accuracy	accuracy	NOUN
ajst-18569	7	12	p	p	NOUN
ajst-18569	7	13	,	,	PUNCT
ajst-18569	7	14	recall	recall	NOUN
ajst-18569	7	15	rate	rate	NOUN
ajst-18569	7	16	r	r	NOUN
ajst-18569	7	17	,	,	PUNCT
ajst-18569	7	18	and	and	CCONJ
ajst-18569	7	19	average	average	ADJ
ajst-18569	7	20	precision	precision	NOUN
ajst-18569	7	21	map	map	NOUN
ajst-18569	7	22	by	by	ADP
ajst-18569	7	23	5.21	5.21	NUM
ajst-18569	7	24	%	%	NOUN
ajst-18569	7	25	,	,	PUNCT
ajst-18569	7	26	4.71	4.71	NUM
ajst-18569	7	27	%	%	NOUN
ajst-18569	7	28	,	,	PUNCT
ajst-18569	7	29	and	and	CCONJ
ajst-18569	7	30	6.24	6.24	NUM
ajst-18569	7	31	%	%	NOUN
ajst-18569	7	32	,	,	PUNCT
ajst-18569	7	33	respectively	respectively	ADV
ajst-18569	7	34	,	,	PUNCT
ajst-18569	7	35	compared	compare	VERB
ajst-18569	7	36	to	to	ADP
ajst-18569	7	37	the	the	DET
ajst-18569	7	38	original	original	ADJ
ajst-18569	7	39	yolov5s	yolov5s	PROPN
ajst-18569	7	40	model	model	NOUN
ajst-18569	7	41	in	in	ADP
ajst-18569	7	42	detecting	detect	VERB
ajst-18569	7	43	foreign	foreign	ADJ
ajst-18569	7	44	object	object	NOUN
ajst-18569	7	45	intrusion	intrusion	NOUN
ajst-18569	7	46	in	in	ADP
ajst-18569	7	47	power	power	NOUN
ajst-18569	7	48	transmission	transmission	NOUN
ajst-18569	7	49	lines	line	NOUN
ajst-18569	7	50	,	,	PUNCT
ajst-18569	7	51	while	while	SCONJ
ajst-18569	7	52	also	also	ADV
ajst-18569	7	53	enhancing	enhance	VERB
ajst-18569	7	54	the	the	DET
ajst-18569	7	55	detection	detection	NOUN
ajst-18569	7	56	performance	performance	NOUN
ajst-18569	7	57	of	of	ADP
ajst-18569	7	58	small	small	ADJ
ajst-18569	7	59	targets	target	NOUN
ajst-18569	7	60	.	.	PUNCT
ajst-18569	8	1	keywords	keyword	NOUN
ajst-18569	8	2	:	:	PUNCT
ajst-18569	8	3	transmission	transmission	NOUN
ajst-18569	8	4	line	line	NOUN
ajst-18569	8	5	;	;	PUNCT
ajst-18569	8	6	yolov5s	yolov5s	NOUN
ajst-18569	8	7	;	;	PUNCT
ajst-18569	8	8	multi	multi	ADJ
ajst-18569	8	9	-	-	ADJ
ajst-18569	8	10	scale	scale	ADJ
ajst-18569	8	11	target	target	NOUN
ajst-18569	8	12	;	;	PUNCT
ajst-18569	8	13	c3	c3	PROPN
ajst-18569	8	14	feature	feature	NOUN
ajst-18569	8	15	extraction	extraction	NOUN
ajst-18569	8	16	module	module	NOUN
ajst-18569	8	17	;	;	PUNCT
ajst-18569	8	18	loss	loss	NOUN
ajst-18569	8	19	function	function	NOUN
ajst-18569	8	20	.	.	PUNCT
ajst-18569	9	1	1	1	X
ajst-18569	9	2	.	.	X
ajst-18569	9	3	introduction	introduction	NOUN
ajst-18569	9	4	the	the	DET
ajst-18569	9	5	safety	safety	NOUN
ajst-18569	9	6	of	of	ADP
ajst-18569	9	7	power	power	NOUN
ajst-18569	9	8	transmission	transmission	NOUN
ajst-18569	9	9	lines	line	NOUN
ajst-18569	9	10	is	be	AUX
ajst-18569	9	11	crucial	crucial	ADJ
ajst-18569	9	12	to	to	ADP
ajst-18569	9	13	ensuring	ensure	VERB
ajst-18569	9	14	the	the	DET
ajst-18569	9	15	stable	stable	ADJ
ajst-18569	9	16	operation	operation	NOUN
ajst-18569	9	17	of	of	ADP
ajst-18569	9	18	the	the	DET
ajst-18569	9	19	power	power	NOUN
ajst-18569	9	20	grid	grid	NOUN
ajst-18569	10	1	[	[	X
ajst-18569	10	2	1	1	NUM
ajst-18569	10	3	]	]	PUNCT
ajst-18569	10	4	.	.	PUNCT
ajst-18569	11	1	the	the	DET
ajst-18569	11	2	manpower	manpower	NOUN
ajst-18569	11	3	and	and	CCONJ
ajst-18569	11	4	resources	resource	NOUN
ajst-18569	11	5	required	require	VERB
ajst-18569	11	6	for	for	ADP
ajst-18569	11	7	manual	manual	ADJ
ajst-18569	11	8	inspections	inspection	NOUN
ajst-18569	11	9	and	and	CCONJ
ajst-18569	11	10	drone	drone	NOUN
ajst-18569	11	11	inspections	inspection	NOUN
ajst-18569	11	12	are	be	AUX
ajst-18569	11	13	extremely	extremely	ADV
ajst-18569	11	14	high	high	ADJ
ajst-18569	11	15	.	.	PUNCT
ajst-18569	12	1	manual	manual	ADJ
ajst-18569	12	2	inspections	inspection	NOUN
ajst-18569	12	3	can	can	AUX
ajst-18569	12	4	not	not	PART
ajst-18569	12	5	meet	meet	VERB
ajst-18569	12	6	the	the	DET
ajst-18569	12	7	real	real	ADJ
ajst-18569	12	8	-	-	PUNCT
ajst-18569	12	9	time	time	NOUN
ajst-18569	12	10	inspection	inspection	NOUN
ajst-18569	12	11	requirements	requirement	NOUN
ajst-18569	12	12	of	of	ADP
ajst-18569	12	13	highvoltage	highvoltage	NOUN
ajst-18569	12	14	transmission	transmission	NOUN
ajst-18569	12	15	lines	line	NOUN
ajst-18569	12	16	[	[	X
ajst-18569	12	17	2	2	NUM
ajst-18569	12	18	]	]	PUNCT
ajst-18569	12	19	.	.	PUNCT
ajst-18569	13	1	therefore	therefore	ADV
ajst-18569	13	2	,	,	PUNCT
ajst-18569	13	3	using	use	VERB
ajst-18569	13	4	video	video	NOUN
ajst-18569	13	5	surveillance	surveillance	NOUN
ajst-18569	13	6	equipment	equipment	NOUN
ajst-18569	13	7	for	for	ADP
ajst-18569	13	8	24	24	NUM
ajst-18569	13	9	-	-	PUNCT
ajst-18569	13	10	hour	hour	NOUN
ajst-18569	13	11	inspections	inspection	NOUN
ajst-18569	13	12	,	,	PUNCT
ajst-18569	13	13	with	with	ADP
ajst-18569	13	14	the	the	DET
ajst-18569	13	15	advantages	advantage	NOUN
ajst-18569	13	16	of	of	ADP
ajst-18569	13	17	high	high	ADJ
ajst-18569	13	18	efficiency	efficiency	NOUN
ajst-18569	13	19	and	and	CCONJ
ajst-18569	13	20	low	low	ADJ
ajst-18569	13	21	cost	cost	NOUN
ajst-18569	13	22	,	,	PUNCT
ajst-18569	13	23	has	have	AUX
ajst-18569	13	24	become	become	VERB
ajst-18569	13	25	the	the	DET
ajst-18569	13	26	preferred	preferred	ADJ
ajst-18569	13	27	method	method	NOUN
ajst-18569	13	28	for	for	ADP
ajst-18569	13	29	protecting	protect	VERB
ajst-18569	13	30	high	high	ADJ
ajst-18569	13	31	-	-	PUNCT
ajst-18569	13	32	voltage	voltage	NOUN
ajst-18569	13	33	transmission	transmission	NOUN
ajst-18569	13	34	lines	line	NOUN
ajst-18569	13	35	[	[	X
ajst-18569	13	36	3	3	NUM
ajst-18569	13	37	]	]	PUNCT
ajst-18569	13	38	.	.	PUNCT
ajst-18569	14	1	algorithms	algorithm	NOUN
ajst-18569	14	2	such	such	ADJ
ajst-18569	14	3	as	as	ADP
ajst-18569	14	4	faster	fast	ADJ
ajst-18569	14	5	r	r	NOUN
ajst-18569	14	6	-	-	PUNCT
ajst-18569	14	7	cnn	cnn	PROPN
ajst-18569	14	8	,	,	PUNCT
ajst-18569	14	9	mask	mask	NOUN
ajst-18569	14	10	r	r	NOUN
ajst-18569	14	11	-	-	PUNCT
ajst-18569	14	12	cnn	cnn	PROPN
ajst-18569	14	13	,	,	PUNCT
ajst-18569	14	14	and	and	CCONJ
ajst-18569	14	15	yolo	yolo	PROPN
ajst-18569	14	16	based	base	VERB
ajst-18569	14	17	on	on	ADP
ajst-18569	14	18	deep	deep	ADJ
ajst-18569	14	19	learning	learn	VERB
ajst-18569	14	20	convolutional	convolutional	ADJ
ajst-18569	14	21	neural	neural	ADJ
ajst-18569	14	22	networks	network	NOUN
ajst-18569	14	23	have	have	AUX
ajst-18569	14	24	been	be	AUX
ajst-18569	14	25	used	use	VERB
ajst-18569	14	26	in	in	ADP
ajst-18569	14	27	the	the	DET
ajst-18569	14	28	safety	safety	NOUN
ajst-18569	14	29	detection	detection	NOUN
ajst-18569	14	30	of	of	ADP
ajst-18569	14	31	transmission	transmission	NOUN
ajst-18569	14	32	lines	line	NOUN
ajst-18569	14	33	,	,	PUNCT
ajst-18569	14	34	with	with	ADP
ajst-18569	14	35	an	an	DET
ajst-18569	14	36	accuracy	accuracy	NOUN
ajst-18569	14	37	rate	rate	NOUN
ajst-18569	14	38	of	of	ADP
ajst-18569	14	39	detecting	detect	VERB
ajst-18569	14	40	hidden	hide	VERB
ajst-18569	14	41	dangers	danger	NOUN
ajst-18569	14	42	reaching	reach	VERB
ajst-18569	14	43	over	over	ADP
ajst-18569	14	44	80	80	NUM
ajst-18569	14	45	%	%	NOUN
ajst-18569	14	46	.	.	PUNCT
ajst-18569	15	1	while	while	SCONJ
ajst-18569	15	2	faster	fast	ADJ
ajst-18569	15	3	r	r	NOUN
ajst-18569	15	4	-	-	PUNCT
ajst-18569	15	5	cnn	cnn	PROPN
ajst-18569	15	6	maintains	maintain	VERB
ajst-18569	15	7	good	good	ADJ
ajst-18569	15	8	accuracy	accuracy	NOUN
ajst-18569	15	9	,	,	PUNCT
ajst-18569	15	10	it	it	PRON
ajst-18569	15	11	has	have	VERB
ajst-18569	15	12	slow	slow	ADJ
ajst-18569	15	13	processing	processing	NOUN
ajst-18569	15	14	speeds	speed	NOUN
ajst-18569	15	15	and	and	CCONJ
ajst-18569	15	16	long	long	ADJ
ajst-18569	15	17	processing	processing	NOUN
ajst-18569	15	18	times	time	NOUN
ajst-18569	15	19	,	,	PUNCT
ajst-18569	15	20	resulting	result	VERB
ajst-18569	15	21	in	in	ADP
ajst-18569	15	22	low	low	ADJ
ajst-18569	15	23	smoothness	smoothness	NOUN
ajst-18569	15	24	in	in	ADP
ajst-18569	15	25	real	real	ADJ
ajst-18569	15	26	-	-	PUNCT
ajst-18569	15	27	time	time	NOUN
ajst-18569	15	28	detection	detection	NOUN
ajst-18569	15	29	.	.	PUNCT
ajst-18569	16	1	mask	mask	NOUN
ajst-18569	16	2	r	r	NOUN
ajst-18569	16	3	-	-	PUNCT
ajst-18569	16	4	cnn	cnn	PROPN
ajst-18569	16	5	requires	require	VERB
ajst-18569	16	6	high	high	ADJ
ajst-18569	16	7	precision	precision	NOUN
ajst-18569	16	8	in	in	ADP
ajst-18569	16	9	dataset	dataset	ADJ
ajst-18569	16	10	annotation	annotation	NOUN
ajst-18569	16	11	using	use	VERB
ajst-18569	16	12	instance	instance	NOUN
ajst-18569	16	13	segmentation	segmentation	NOUN
ajst-18569	16	14	methods	method	NOUN
ajst-18569	16	15	,	,	PUNCT
ajst-18569	16	16	incurring	incur	VERB
ajst-18569	16	17	high	high	ADJ
ajst-18569	16	18	annotation	annotation	NOUN
ajst-18569	16	19	costs	cost	NOUN
ajst-18569	16	20	and	and	CCONJ
ajst-18569	16	21	limiting	limit	VERB
ajst-18569	16	22	its	its	PRON
ajst-18569	16	23	application	application	NOUN
ajst-18569	16	24	in	in	ADP
ajst-18569	16	25	complex	complex	ADJ
ajst-18569	16	26	environmental	environmental	ADJ
ajst-18569	16	27	conditions	condition	NOUN
ajst-18569	16	28	[	[	X
ajst-18569	16	29	4	4	NUM
ajst-18569	16	30	-	-	SYM
ajst-18569	16	31	9	9	NUM
ajst-18569	16	32	]	]	PUNCT
ajst-18569	16	33	.	.	PUNCT
ajst-18569	17	1	in	in	ADP
ajst-18569	17	2	terms	term	NOUN
ajst-18569	17	3	of	of	ADP
ajst-18569	17	4	real	real	ADJ
ajst-18569	17	5	-	-	PUNCT
ajst-18569	17	6	time	time	NOUN
ajst-18569	17	7	detection	detection	NOUN
ajst-18569	17	8	smoothness	smoothness	NOUN
ajst-18569	17	9	,	,	PUNCT
ajst-18569	17	10	yolov3	yolov3	PROPN
ajst-18569	17	11	and	and	CCONJ
ajst-18569	17	12	yolov4	yolov4	PROPN
ajst-18569	17	13	perform	perform	VERB
ajst-18569	17	14	well	well	ADV
ajst-18569	17	15	,	,	PUNCT
ajst-18569	17	16	but	but	CCONJ
ajst-18569	17	17	their	their	PRON
ajst-18569	17	18	accuracy	accuracy	NOUN
ajst-18569	17	19	is	be	AUX
ajst-18569	17	20	lower	low	ADJ
ajst-18569	17	21	,	,	PUNCT
ajst-18569	17	22	leading	lead	VERB
ajst-18569	17	23	to	to	ADP
ajst-18569	17	24	cases	case	NOUN
ajst-18569	17	25	of	of	ADP
ajst-18569	17	26	false	false	ADJ
ajst-18569	17	27	alarms	alarm	NOUN
ajst-18569	17	28	and	and	CCONJ
ajst-18569	17	29	missed	miss	VERB
ajst-18569	17	30	detections	detection	NOUN
ajst-18569	17	31	.	.	PUNCT
ajst-18569	18	1	yolov5	yolov5	NOUN
ajst-18569	18	2	improves	improve	VERB
ajst-18569	18	3	detection	detection	NOUN
ajst-18569	18	4	accuracy	accuracy	NOUN
ajst-18569	18	5	while	while	SCONJ
ajst-18569	18	6	inheriting	inherit	VERB
ajst-18569	18	7	good	good	ADJ
ajst-18569	18	8	real	real	ADJ
ajst-18569	18	9	-	-	PUNCT
ajst-18569	18	10	time	time	NOUN
ajst-18569	18	11	performance	performance	NOUN
ajst-18569	18	12	,	,	PUNCT
ajst-18569	18	13	but	but	CCONJ
ajst-18569	18	14	it	it	PRON
ajst-18569	18	15	still	still	ADV
ajst-18569	18	16	struggles	struggle	VERB
ajst-18569	18	17	with	with	ADP
ajst-18569	18	18	detecting	detect	VERB
ajst-18569	18	19	targets	target	NOUN
ajst-18569	18	20	that	that	PRON
ajst-18569	18	21	are	be	AUX
ajst-18569	18	22	partially	partially	ADV
ajst-18569	18	23	obscured	obscure	VERB
ajst-18569	18	24	or	or	CCONJ
ajst-18569	18	25	small	small	ADJ
ajst-18569	19	1	[	[	X
ajst-18569	19	2	10	10	NUM
ajst-18569	19	3	-	-	SYM
ajst-18569	19	4	11	11	NUM
ajst-18569	19	5	]	]	PUNCT
ajst-18569	19	6	.	.	PUNCT
ajst-18569	20	1	zhang	zhang	PROPN
ajst-18569	20	2	et	et	PROPN
ajst-18569	20	3	al	al	PROPN
ajst-18569	21	1	[	[	X
ajst-18569	21	2	12	12	NUM
ajst-18569	21	3	]	]	PUNCT
ajst-18569	21	4	proposed	propose	VERB
ajst-18569	21	5	using	use	VERB
ajst-18569	21	6	the	the	DET
ajst-18569	21	7	resnet	resnet	ADJ
ajst-18569	21	8	network	network	NOUN
ajst-18569	21	9	as	as	ADP
ajst-18569	21	10	the	the	DET
ajst-18569	21	11	backbone	backbone	NOUN
ajst-18569	21	12	structure	structure	NOUN
ajst-18569	21	13	of	of	ADP
ajst-18569	21	14	yolov5	yolov5	NOUN
ajst-18569	21	15	,	,	PUNCT
ajst-18569	21	16	which	which	PRON
ajst-18569	21	17	improved	improve	VERB
ajst-18569	21	18	the	the	DET
ajst-18569	21	19	model	model	NOUN
ajst-18569	21	20	's	's	PART
ajst-18569	21	21	detection	detection	NOUN
ajst-18569	21	22	performance	performance	NOUN
ajst-18569	21	23	for	for	ADP
ajst-18569	21	24	small	small	ADJ
ajst-18569	21	25	objects	object	NOUN
ajst-18569	21	26	.	.	PUNCT
ajst-18569	22	1	li	li	PROPN
ajst-18569	22	2	et	et	PROPN
ajst-18569	22	3	al	al	PROPN
ajst-18569	23	1	[	[	X
ajst-18569	23	2	13	13	NUM
ajst-18569	23	3	]	]	PUNCT
ajst-18569	23	4	introduced	introduce	VERB
ajst-18569	23	5	a	a	DET
ajst-18569	23	6	residual	residual	ADJ
ajst-18569	23	7	network	network	NOUN
ajst-18569	23	8	structure	structure	NOUN
ajst-18569	23	9	into	into	ADP
ajst-18569	23	10	ssd	ssd	NOUN
ajst-18569	23	11	for	for	ADP
ajst-18569	23	12	feature	feature	NOUN
ajst-18569	23	13	fusion	fusion	NOUN
ajst-18569	23	14	,	,	PUNCT
ajst-18569	23	15	enhancing	enhance	VERB
ajst-18569	23	16	the	the	DET
ajst-18569	23	17	network	network	NOUN
ajst-18569	23	18	's	's	PART
ajst-18569	23	19	ability	ability	NOUN
ajst-18569	23	20	to	to	PART
ajst-18569	23	21	extract	extract	VERB
ajst-18569	23	22	information	information	NOUN
ajst-18569	23	23	features	feature	NOUN
ajst-18569	23	24	and	and	CCONJ
ajst-18569	23	25	improve	improve	VERB
ajst-18569	23	26	the	the	DET
ajst-18569	23	27	detection	detection	NOUN
ajst-18569	23	28	capability	capability	NOUN
ajst-18569	23	29	of	of	ADP
ajst-18569	23	30	small	small	ADJ
ajst-18569	23	31	objects	object	NOUN
ajst-18569	23	32	.	.	PUNCT
ajst-18569	24	1	zhang	zhang	PROPN
ajst-18569	24	2	et	et	PROPN
ajst-18569	24	3	al	al	PROPN
ajst-18569	25	1	[	[	X
ajst-18569	25	2	14	14	NUM
ajst-18569	25	3	]	]	X
ajst-18569	25	4	balanced	balance	VERB
ajst-18569	25	5	the	the	DET
ajst-18569	25	6	feature	feature	NOUN
ajst-18569	25	7	network	network	NOUN
ajst-18569	25	8	by	by	ADP
ajst-18569	25	9	combining	combine	VERB
ajst-18569	25	10	channel	channel	NOUN
ajst-18569	25	11	attention	attention	NOUN
ajst-18569	25	12	mechanism	mechanism	NOUN
ajst-18569	25	13	with	with	ADP
ajst-18569	25	14	spatial	spatial	ADJ
ajst-18569	25	15	attention	attention	NOUN
ajst-18569	25	16	mechanism	mechanism	NOUN
ajst-18569	25	17	,	,	PUNCT
ajst-18569	25	18	enhancing	enhance	VERB
ajst-18569	25	19	the	the	DET
ajst-18569	25	20	detection	detection	NOUN
ajst-18569	25	21	capability	capability	NOUN
ajst-18569	25	22	of	of	ADP
ajst-18569	25	23	the	the	DET
ajst-18569	25	24	yolov5	yolov5	NOUN
ajst-18569	25	25	model	model	NOUN
ajst-18569	25	26	in	in	ADP
ajst-18569	25	27	complex	complex	ADJ
ajst-18569	25	28	conditions	condition	NOUN
ajst-18569	25	29	.	.	PUNCT
ajst-18569	26	1	huang	huang	PROPN
ajst-18569	26	2	et	et	PROPN
ajst-18569	26	3	al	al	PROPN
ajst-18569	27	1	[	[	X
ajst-18569	27	2	15	15	NUM
ajst-18569	27	3	]	]	PUNCT
ajst-18569	27	4	used	use	VERB
ajst-18569	27	5	usrnet	usrnet	NOUN
ajst-18569	27	6	to	to	PART
ajst-18569	27	7	reconstruct	reconstruct	VERB
ajst-18569	27	8	the	the	DET
ajst-18569	27	9	dataset	dataset	NOUN
ajst-18569	27	10	for	for	ADP
ajst-18569	27	11	the	the	DET
ajst-18569	27	12	yolov5x	yolov5x	PROPN
ajst-18569	27	13	model	model	NOUN
ajst-18569	27	14	,	,	PUNCT
ajst-18569	27	15	then	then	ADV
ajst-18569	27	16	introduced	introduce	VERB
ajst-18569	27	17	small	small	ADJ
ajst-18569	27	18	object	object	NOUN
ajst-18569	27	19	detection	detection	NOUN
ajst-18569	27	20	head	head	NOUN
ajst-18569	27	21	and	and	CCONJ
ajst-18569	27	22	eiou	eiou	NOUN
ajst-18569	27	23	loss	loss	NOUN
ajst-18569	27	24	function	function	NOUN
ajst-18569	27	25	,	,	PUNCT
ajst-18569	27	26	enhancing	enhance	VERB
ajst-18569	27	27	the	the	DET
ajst-18569	27	28	model	model	NOUN
ajst-18569	27	29	's	's	PART
ajst-18569	27	30	performance	performance	NOUN
ajst-18569	27	31	in	in	ADP
ajst-18569	27	32	detecting	detect	VERB
ajst-18569	27	33	small	small	ADJ
ajst-18569	27	34	objects	object	NOUN
ajst-18569	27	35	and	and	CCONJ
ajst-18569	27	36	its	its	PRON
ajst-18569	27	37	ability	ability	NOUN
ajst-18569	27	38	to	to	PART
ajst-18569	27	39	handle	handle	VERB
ajst-18569	27	40	complex	complex	ADJ
ajst-18569	27	41	background	background	NOUN
ajst-18569	27	42	environments	environment	NOUN
ajst-18569	27	43	.	.	PUNCT
ajst-18569	28	1	the	the	DET
ajst-18569	28	2	size	size	NOUN
ajst-18569	28	3	of	of	ADP
ajst-18569	28	4	the	the	DET
ajst-18569	28	5	network	network	NOUN
ajst-18569	28	6	model	model	NOUN
ajst-18569	28	7	has	have	VERB
ajst-18569	28	8	a	a	DET
ajst-18569	28	9	big	big	ADJ
ajst-18569	28	10	impact	impact	NOUN
ajst-18569	28	11	on	on	ADP
ajst-18569	28	12	its	its	PRON
ajst-18569	28	13	performance	performance	NOUN
ajst-18569	28	14	,	,	PUNCT
ajst-18569	28	15	so	so	SCONJ
ajst-18569	28	16	this	this	DET
ajst-18569	28	17	paper	paper	NOUN
ajst-18569	28	18	proposes	propose	VERB
ajst-18569	28	19	an	an	DET
ajst-18569	28	20	improved	improved	ADJ
ajst-18569	28	21	yolov5s	yolov5s	PROPN
ajst-18569	28	22	algorithm	algorithm	NOUN
ajst-18569	28	23	to	to	PART
ajst-18569	28	24	meet	meet	VERB
ajst-18569	28	25	the	the	DET
ajst-18569	28	26	requirements	requirement	NOUN
ajst-18569	28	27	of	of	ADP
ajst-18569	28	28	real	real	ADJ
ajst-18569	28	29	-	-	PUNCT
ajst-18569	28	30	time	time	NOUN
ajst-18569	28	31	monitoring	monitoring	NOUN
ajst-18569	28	32	and	and	CCONJ
ajst-18569	28	33	small	small	ADJ
ajst-18569	28	34	network	network	NOUN
ajst-18569	28	35	detection	detection	NOUN
ajst-18569	28	36	.	.	PUNCT
ajst-18569	29	1	a	a	DET
ajst-18569	29	2	new	new	ADJ
ajst-18569	29	3	c3	c3	NOUN
ajst-18569	29	4	feature	feature	NOUN
ajst-18569	29	5	extraction	extraction	NOUN
ajst-18569	29	6	structure	structure	NOUN
ajst-18569	29	7	is	be	AUX
ajst-18569	29	8	designed	design	VERB
ajst-18569	29	9	,	,	PUNCT
ajst-18569	29	10	which	which	PRON
ajst-18569	29	11	replaces	replace	VERB
ajst-18569	29	12	the	the	DET
ajst-18569	29	13	fixed	fix	VERB
ajst-18569	29	14	convolutional	convolutional	ADJ
ajst-18569	29	15	layers	layer	NOUN
ajst-18569	29	16	in	in	ADP
ajst-18569	29	17	c3	c3	PROPN
ajst-18569	29	18	with	with	ADP
ajst-18569	29	19	a	a	DET
ajst-18569	29	20	deformable	deformable	ADJ
ajst-18569	29	21	convolution	convolution	NOUN
ajst-18569	29	22	network	network	NOUN
ajst-18569	29	23	dcn	dcn	PROPN
ajst-18569	29	24	-	-	PUNCT
ajst-18569	29	25	v2	v2	PROPN
ajst-18569	29	26	to	to	PART
ajst-18569	29	27	enhance	enhance	VERB
ajst-18569	29	28	the	the	DET
ajst-18569	29	29	ability	ability	NOUN
ajst-18569	29	30	of	of	ADP
ajst-18569	29	31	the	the	DET
ajst-18569	29	32	c3	c3	PROPN
ajst-18569	29	33	module	module	NOUN
ajst-18569	29	34	to	to	PART
ajst-18569	29	35	extract	extract	VERB
ajst-18569	29	36	features	feature	NOUN
ajst-18569	29	37	of	of	ADP
ajst-18569	29	38	different	different	ADJ
ajst-18569	29	39	scales	scale	NOUN
ajst-18569	29	40	.	.	PUNCT
ajst-18569	30	1	an	an	DET
ajst-18569	30	2	eca	eca	NOUN
ajst-18569	30	3	attention	attention	NOUN
ajst-18569	30	4	mechanism	mechanism	NOUN
ajst-18569	30	5	is	be	AUX
ajst-18569	30	6	introduced	introduce	VERB
ajst-18569	30	7	to	to	PART
ajst-18569	30	8	process	process	VERB
ajst-18569	30	9	features	feature	NOUN
ajst-18569	30	10	,	,	PUNCT
ajst-18569	30	11	obtaining	obtain	VERB
ajst-18569	30	12	global	global	ADJ
ajst-18569	30	13	information	information	NOUN
ajst-18569	30	14	that	that	PRON
ajst-18569	30	15	considers	consider	VERB
ajst-18569	30	16	context	context	NOUN
ajst-18569	30	17	and	and	CCONJ
ajst-18569	30	18	enhances	enhance	VERB
ajst-18569	30	19	the	the	DET
ajst-18569	30	20	network	network	NOUN
ajst-18569	30	21	's	's	PART
ajst-18569	30	22	non	non	ADJ
ajst-18569	30	23	-	-	ADJ
ajst-18569	30	24	linear	linear	ADJ
ajst-18569	30	25	capabilities	capability	NOUN
ajst-18569	31	1	[	[	X
ajst-18569	31	2	16	16	NUM
ajst-18569	31	3	-	-	SYM
ajst-18569	31	4	17	17	NUM
ajst-18569	31	5	]	]	PUNCT
ajst-18569	31	6	.	.	PUNCT
ajst-18569	32	1	additionally	additionally	ADV
ajst-18569	32	2	,	,	PUNCT
ajst-18569	32	3	a	a	DET
ajst-18569	32	4	new	new	ADJ
ajst-18569	32	5	loss	loss	NOUN
ajst-18569	32	6	function	function	NOUN
ajst-18569	32	7	form	form	NOUN
ajst-18569	32	8	combining	combine	VERB
ajst-18569	32	9	the	the	DET
ajst-18569	32	10	nwd	nwd	NOUN
ajst-18569	32	11	structure	structure	NOUN
ajst-18569	32	12	with	with	ADP
ajst-18569	32	13	wiou	wiou	NOUN
ajst-18569	32	14	loss	loss	NOUN
ajst-18569	32	15	is	be	AUX
ajst-18569	32	16	proposed	propose	VERB
ajst-18569	32	17	to	to	PART
ajst-18569	32	18	make	make	VERB
ajst-18569	32	19	the	the	DET
ajst-18569	32	20	predicted	predict	VERB
ajst-18569	32	21	boxes	box	NOUN
ajst-18569	32	22	more	more	ADV
ajst-18569	32	23	accurate	accurate	ADJ
ajst-18569	32	24	and	and	CCONJ
ajst-18569	32	25	enhance	enhance	VERB
ajst-18569	32	26	the	the	DET
ajst-18569	32	27	model	model	NOUN
ajst-18569	32	28	's	's	PART
ajst-18569	32	29	ability	ability	NOUN
ajst-18569	32	30	to	to	PART
ajst-18569	32	31	detect	detect	VERB
ajst-18569	32	32	small	small	ADJ
ajst-18569	32	33	target	target	NOUN
ajst-18569	32	34	objects	object	VERB
ajst-18569	32	35	[	[	PUNCT
ajst-18569	32	36	18	18	NUM
ajst-18569	32	37	-	-	SYM
ajst-18569	32	38	19	19	NUM
ajst-18569	32	39	]	]	PUNCT
ajst-18569	32	40	.	.	PUNCT
ajst-18569	33	1	2	2	X
ajst-18569	33	2	.	.	X
ajst-18569	33	3	improvement	improvement	NOUN
ajst-18569	33	4	of	of	ADP
ajst-18569	33	5	c3	c3	PROPN
ajst-18569	33	6	module	module	NOUN
ajst-18569	33	7	structure	structure	NOUN
ajst-18569	33	8	2.1	2.1	NUM
ajst-18569	33	9	.	.	PUNCT
ajst-18569	33	10	deformable	deformable	ADJ
ajst-18569	33	11	convolution	convolution	NOUN
ajst-18569	33	12	layer	layer	NOUN
ajst-18569	33	13	in	in	ADP
ajst-18569	33	14	yolov5	yolov5	NOUN
ajst-18569	33	15	,	,	PUNCT
ajst-18569	33	16	the	the	DET
ajst-18569	33	17	c3	c3	PROPN
ajst-18569	33	18	module	module	NOUN
ajst-18569	33	19	is	be	AUX
ajst-18569	33	20	mainly	mainly	ADV
ajst-18569	33	21	used	use	VERB
ajst-18569	33	22	for	for	ADP
ajst-18569	33	23	extracting	extract	VERB
ajst-18569	33	24	features	feature	NOUN
ajst-18569	33	25	from	from	ADP
ajst-18569	33	26	the	the	DET
ajst-18569	33	27	input	input	NOUN
ajst-18569	33	28	feature	feature	NOUN
ajst-18569	33	29	map	map	NOUN
ajst-18569	33	30	,	,	PUNCT
ajst-18569	33	31	which	which	PRON
ajst-18569	33	32	is	be	AUX
ajst-18569	33	33	crucial	crucial	ADJ
ajst-18569	33	34	in	in	ADP
ajst-18569	33	35	determining	determine	VERB
ajst-18569	33	36	how	how	SCONJ
ajst-18569	33	37	many	many	ADJ
ajst-18569	33	38	target	target	NOUN
ajst-18569	33	39	features	feature	NOUN
ajst-18569	33	40	are	be	AUX
ajst-18569	33	41	extracted	extract	VERB
ajst-18569	33	42	.	.	PUNCT
ajst-18569	34	1	however	however	ADV
ajst-18569	34	2	,	,	PUNCT
ajst-18569	34	3	the	the	DET
ajst-18569	34	4	convolution	convolution	NOUN
ajst-18569	34	5	used	use	VERB
ajst-18569	34	6	in	in	ADP
ajst-18569	34	7	the	the	DET
ajst-18569	34	8	c3	c3	NOUN
ajst-18569	34	9	module	module	NOUN
ajst-18569	34	10	is	be	AUX
ajst-18569	34	11	a	a	DET
ajst-18569	34	12	traditional	traditional	ADJ
ajst-18569	34	13	square	square	ADJ
ajst-18569	34	14	grid	grid	NOUN
ajst-18569	34	15	convolution	convolution	NOUN
ajst-18569	34	16	,	,	PUNCT
ajst-18569	34	17	with	with	ADP
ajst-18569	34	18	a	a	DET
ajst-18569	34	19	fixed	fix	VERB
ajst-18569	34	20	size	size	NOUN
ajst-18569	34	21	of	of	ADP
ajst-18569	34	22	the	the	DET
ajst-18569	34	23	convolution	convolution	NOUN
ajst-18569	34	24	kernel	kernel	NOUN
ajst-18569	34	25	,	,	PUNCT
ajst-18569	34	26	and	and	CCONJ
ajst-18569	34	27	the	the	DET
ajst-18569	34	28	sampling	sample	VERB
ajst-18569	34	29	position	position	NOUN
ajst-18569	34	30	when	when	SCONJ
ajst-18569	34	31	extracting	extract	VERB
ajst-18569	34	32	the	the	DET
ajst-18569	34	33	input	input	NOUN
ajst-18569	34	34	feature	feature	NOUN
ajst-18569	34	35	map	map	NOUN
ajst-18569	34	36	is	be	AUX
ajst-18569	34	37	also	also	ADV
ajst-18569	34	38	fixed	fix	VERB
ajst-18569	34	39	,	,	PUNCT
ajst-18569	34	40	as	as	SCONJ
ajst-18569	34	41	shown	show	VERB
ajst-18569	34	42	in	in	ADP
ajst-18569	34	43	figure	figure	NOUN
ajst-18569	34	44	1(a	1(a	NUM
ajst-18569	34	45	)	)	PUNCT
ajst-18569	34	46	.	.	PUNCT
ajst-18569	35	1	190	190	NUM
ajst-18569	35	2	(	(	PUNCT
ajst-18569	35	3	a	a	NOUN
ajst-18569	35	4	)	)	PUNCT
ajst-18569	35	5	traditional	traditional	ADJ
ajst-18569	35	6	convolution	convolution	NOUN
ajst-18569	35	7	(	(	PUNCT
ajst-18569	35	8	b	b	NOUN
ajst-18569	35	9	)	)	PUNCT
ajst-18569	35	10	variable	variable	ADJ
ajst-18569	35	11	convolution	convolution	NOUN
ajst-18569	35	12	figure	figure	NOUN
ajst-18569	35	13	1	1	NUM
ajst-18569	35	14	.	.	PUNCT
ajst-18569	35	15	convolution	convolution	NOUN
ajst-18569	35	16	kernel	kernel	PROPN
ajst-18569	35	17	shape	shape	NOUN
ajst-18569	35	18	in	in	ADP
ajst-18569	35	19	the	the	DET
ajst-18569	35	20	actual	actual	ADJ
ajst-18569	35	21	input	input	NOUN
ajst-18569	35	22	feature	feature	NOUN
ajst-18569	35	23	map	map	NOUN
ajst-18569	35	24	,	,	PUNCT
ajst-18569	35	25	different	different	ADJ
ajst-18569	35	26	positions	position	NOUN
ajst-18569	35	27	may	may	AUX
ajst-18569	35	28	correspond	correspond	VERB
ajst-18569	35	29	to	to	ADP
ajst-18569	35	30	objects	object	NOUN
ajst-18569	35	31	of	of	ADP
ajst-18569	35	32	different	different	ADJ
ajst-18569	35	33	sizes	size	NOUN
ajst-18569	35	34	or	or	CCONJ
ajst-18569	35	35	deformations	deformation	NOUN
ajst-18569	35	36	,	,	PUNCT
ajst-18569	35	37	which	which	PRON
ajst-18569	35	38	requires	require	VERB
ajst-18569	35	39	the	the	DET
ajst-18569	35	40	convolution	convolution	NOUN
ajst-18569	35	41	layer	layer	NOUN
ajst-18569	35	42	to	to	PART
ajst-18569	35	43	adaptively	adaptively	ADV
ajst-18569	35	44	adjust	adjust	VERB
ajst-18569	35	45	the	the	DET
ajst-18569	35	46	range	range	NOUN
ajst-18569	35	47	and	and	CCONJ
ajst-18569	35	48	method	method	NOUN
ajst-18569	35	49	of	of	ADP
ajst-18569	35	50	the	the	DET
ajst-18569	35	51	receptive	receptive	ADJ
ajst-18569	35	52	field	field	NOUN
ajst-18569	35	53	.	.	PUNCT
ajst-18569	36	1	therefore	therefore	ADV
ajst-18569	36	2	,	,	PUNCT
ajst-18569	36	3	the	the	DET
ajst-18569	36	4	method	method	NOUN
ajst-18569	36	5	of	of	ADP
ajst-18569	36	6	introducing	introduce	VERB
ajst-18569	36	7	deformable	deformable	ADJ
ajst-18569	36	8	convolution	convolution	NOUN
ajst-18569	36	9	kernels	kernel	NOUN
ajst-18569	36	10	allows	allow	VERB
ajst-18569	36	11	the	the	DET
ajst-18569	36	12	convolution	convolution	NOUN
ajst-18569	36	13	kernel	kernel	NOUN
ajst-18569	36	14	to	to	PART
ajst-18569	36	15	adjust	adjust	VERB
ajst-18569	36	16	its	its	PRON
ajst-18569	36	17	shape	shape	NOUN
ajst-18569	36	18	according	accord	VERB
ajst-18569	36	19	to	to	ADP
ajst-18569	36	20	the	the	DET
ajst-18569	36	21	actual	actual	ADJ
ajst-18569	36	22	situation	situation	NOUN
ajst-18569	36	23	,	,	PUNCT
ajst-18569	36	24	better	well	ADV
ajst-18569	36	25	extracting	extract	VERB
ajst-18569	36	26	the	the	DET
ajst-18569	36	27	input	input	NOUN
ajst-18569	36	28	features	feature	NOUN
ajst-18569	36	29	.	.	PUNCT
ajst-18569	37	1	deformable	deformable	ADJ
ajst-18569	37	2	convolution	convolution	NOUN
ajst-18569	37	3	adds	add	VERB
ajst-18569	37	4	a	a	DET
ajst-18569	37	5	variable	variable	ADJ
ajst-18569	37	6	offset	offset	NOUN
ajst-18569	37	7	matrix	matrix	NOUN
ajst-18569	37	8	to	to	ADP
ajst-18569	37	9	each	each	DET
ajst-18569	37	10	sampling	sample	VERB
ajst-18569	37	11	point	point	NOUN
ajst-18569	37	12	of	of	ADP
ajst-18569	37	13	the	the	DET
ajst-18569	37	14	traditional	traditional	ADJ
ajst-18569	37	15	convolution	convolution	NOUN
ajst-18569	37	16	kernel	kernel	NOUN
ajst-18569	37	17	,	,	PUNCT
ajst-18569	37	18	breaking	break	VERB
ajst-18569	37	19	away	away	ADV
ajst-18569	37	20	from	from	ADP
ajst-18569	37	21	the	the	DET
ajst-18569	37	22	traditional	traditional	ADJ
ajst-18569	37	23	fixed	fix	VERB
ajst-18569	37	24	square	square	ADJ
ajst-18569	37	25	sampling	sampling	NOUN
ajst-18569	37	26	frame	frame	NOUN
ajst-18569	37	27	,	,	PUNCT
ajst-18569	37	28	allowing	allow	VERB
ajst-18569	37	29	the	the	DET
ajst-18569	37	30	convolution	convolution	NOUN
ajst-18569	37	31	kernel	kernel	NOUN
ajst-18569	37	32	to	to	PART
ajst-18569	37	33	randomly	randomly	VERB
ajst-18569	37	34	sample	sample	NOUN
ajst-18569	37	35	near	near	ADP
ajst-18569	37	36	the	the	DET
ajst-18569	37	37	original	original	ADJ
ajst-18569	37	38	position	position	NOUN
ajst-18569	37	39	,	,	PUNCT
ajst-18569	37	40	as	as	SCONJ
ajst-18569	37	41	shown	show	VERB
ajst-18569	37	42	in	in	ADP
ajst-18569	37	43	figure	figure	NOUN
ajst-18569	37	44	1(b	1(b	NUM
ajst-18569	37	45	)	)	PUNCT
ajst-18569	37	46	,	,	PUNCT
ajst-18569	37	47	which	which	PRON
ajst-18569	37	48	has	have	VERB
ajst-18569	37	49	good	good	ADJ
ajst-18569	37	50	adaptability	adaptability	NOUN
ajst-18569	37	51	to	to	ADP
ajst-18569	37	52	irregular	irregular	ADJ
ajst-18569	37	53	features	feature	NOUN
ajst-18569	37	54	,	,	PUNCT
ajst-18569	37	55	enhancing	enhance	VERB
ajst-18569	37	56	the	the	DET
ajst-18569	37	57	network	network	NOUN
ajst-18569	37	58	's	's	PART
ajst-18569	37	59	robustness	robustness	NOUN
ajst-18569	37	60	and	and	CCONJ
ajst-18569	37	61	generalization	generalization	NOUN
ajst-18569	37	62	ability	ability	NOUN
ajst-18569	37	63	.	.	PUNCT
ajst-18569	38	1	the	the	DET
ajst-18569	38	2	degree	degree	NOUN
ajst-18569	38	3	of	of	ADP
ajst-18569	38	4	influence	influence	NOUN
ajst-18569	38	5	of	of	ADP
ajst-18569	38	6	pixels	pixel	NOUN
ajst-18569	38	7	within	within	ADP
ajst-18569	38	8	different	different	ADJ
ajst-18569	38	9	network	network	NOUN
ajst-18569	38	10	nodes	node	NOUN
ajst-18569	38	11	on	on	ADP
ajst-18569	38	12	the	the	DET
ajst-18569	38	13	receptive	receptive	ADJ
ajst-18569	38	14	field	field	NOUN
ajst-18569	38	15	varies	vary	VERB
ajst-18569	38	16	.	.	PUNCT
ajst-18569	39	1	using	use	VERB
ajst-18569	39	2	gradient	gradient	ADJ
ajst-18569	39	3	response	response	NOUN
ajst-18569	39	4	to	to	PART
ajst-18569	39	5	calculate	calculate	VERB
ajst-18569	39	6	the	the	DET
ajst-18569	39	7	intensity	intensity	NOUN
ajst-18569	39	8	of	of	ADP
ajst-18569	39	9	each	each	DET
ajst-18569	39	10	image	image	NOUN
ajst-18569	39	11	,	,	PUNCT
ajst-18569	39	12	important	important	ADJ
ajst-18569	39	13	features	feature	NOUN
ajst-18569	39	14	are	be	AUX
ajst-18569	39	15	obtained	obtain	VERB
ajst-18569	39	16	,	,	PUNCT
ajst-18569	39	17	as	as	SCONJ
ajst-18569	39	18	shown	show	VERB
ajst-18569	39	19	in	in	ADP
ajst-18569	39	20	figure	figure	NOUN
ajst-18569	39	21	2	2	NUM
ajst-18569	39	22	.	.	PUNCT
ajst-18569	39	23	figure	figure	NOUN
ajst-18569	39	24	2	2	NUM
ajst-18569	39	25	.	.	PUNCT
ajst-18569	39	26	deformable	deformable	ADJ
ajst-18569	39	27	convolution	convolution	NOUN
ajst-18569	39	28	feature	feature	NOUN
ajst-18569	39	29	extraction	extraction	NOUN
ajst-18569	39	30	2.2	2.2	NUM
ajst-18569	39	31	.	.	PUNCT
ajst-18569	40	1	introduce	introduce	VERB
ajst-18569	40	2	attention	attention	NOUN
ajst-18569	40	3	mechanism	mechanism	NOUN
ajst-18569	40	4	after	after	ADP
ajst-18569	40	5	feature	feature	NOUN
ajst-18569	40	6	extraction	extraction	NOUN
ajst-18569	40	7	,	,	PUNCT
ajst-18569	40	8	a	a	DET
ajst-18569	40	9	regular	regular	ADJ
ajst-18569	40	10	convolution	convolution	NOUN
ajst-18569	40	11	operation	operation	NOUN
ajst-18569	40	12	only	only	ADV
ajst-18569	40	13	extracts	extract	VERB
ajst-18569	40	14	features	feature	NOUN
ajst-18569	40	15	at	at	ADP
ajst-18569	40	16	the	the	DET
ajst-18569	40	17	positions	position	NOUN
ajst-18569	40	18	corresponding	correspond	VERB
ajst-18569	40	19	to	to	ADP
ajst-18569	40	20	the	the	DET
ajst-18569	40	21	convolution	convolution	NOUN
ajst-18569	40	22	kernel	kernel	NOUN
ajst-18569	40	23	,	,	PUNCT
ajst-18569	40	24	with	with	SCONJ
ajst-18569	40	25	the	the	DET
ajst-18569	40	26	receptive	receptive	ADJ
ajst-18569	40	27	field	field	NOUN
ajst-18569	40	28	limited	limit	VERB
ajst-18569	40	29	to	to	ADP
ajst-18569	40	30	a	a	DET
ajst-18569	40	31	certain	certain	ADJ
ajst-18569	40	32	area	area	NOUN
ajst-18569	40	33	,	,	PUNCT
ajst-18569	40	34	considering	consider	VERB
ajst-18569	40	35	only	only	ADV
ajst-18569	40	36	local	local	ADJ
ajst-18569	40	37	contextual	contextual	ADJ
ajst-18569	40	38	information	information	NOUN
ajst-18569	40	39	.	.	PUNCT
ajst-18569	41	1	however	however	ADV
ajst-18569	41	2	,	,	PUNCT
ajst-18569	41	3	a	a	DET
ajst-18569	41	4	local	local	ADJ
ajst-18569	41	5	receptive	receptive	ADJ
ajst-18569	41	6	field	field	NOUN
ajst-18569	41	7	can	can	AUX
ajst-18569	41	8	lead	lead	VERB
ajst-18569	41	9	to	to	ADP
ajst-18569	41	10	the	the	DET
ajst-18569	41	11	loss	loss	NOUN
ajst-18569	41	12	of	of	ADP
ajst-18569	41	13	some	some	DET
ajst-18569	41	14	features	feature	NOUN
ajst-18569	41	15	of	of	ADP
ajst-18569	41	16	the	the	DET
ajst-18569	41	17	detected	detect	VERB
ajst-18569	41	18	target	target	NOUN
ajst-18569	41	19	.	.	PUNCT
ajst-18569	42	1	therefore	therefore	ADV
ajst-18569	42	2	,	,	PUNCT
ajst-18569	42	3	in	in	ADP
ajst-18569	42	4	the	the	DET
ajst-18569	42	5	output	output	NOUN
ajst-18569	42	6	feature	feature	NOUN
ajst-18569	42	7	position	position	NOUN
ajst-18569	42	8	of	of	ADP
ajst-18569	42	9	the	the	DET
ajst-18569	42	10	c3	c3	PROPN
ajst-18569	42	11	module	module	NOUN
ajst-18569	42	12	,	,	PUNCT
ajst-18569	42	13	the	the	DET
ajst-18569	42	14	eca	eca	NOUN
ajst-18569	42	15	attention	attention	NOUN
ajst-18569	42	16	mechanism	mechanism	NOUN
ajst-18569	42	17	module	module	NOUN
ajst-18569	42	18	is	be	AUX
ajst-18569	42	19	introduced	introduce	VERB
ajst-18569	42	20	to	to	PART
ajst-18569	42	21	reduce	reduce	VERB
ajst-18569	42	22	the	the	DET
ajst-18569	42	23	impact	impact	NOUN
ajst-18569	42	24	of	of	ADP
ajst-18569	42	25	irrelevant	irrelevant	ADJ
ajst-18569	42	26	information	information	NOUN
ajst-18569	42	27	,	,	PUNCT
ajst-18569	42	28	enabling	enable	VERB
ajst-18569	42	29	the	the	DET
ajst-18569	42	30	network	network	NOUN
ajst-18569	42	31	to	to	PART
ajst-18569	42	32	better	well	ADV
ajst-18569	42	33	adapt	adapt	VERB
ajst-18569	42	34	to	to	ADP
ajst-18569	42	35	the	the	DET
ajst-18569	42	36	image	image	NOUN
ajst-18569	42	37	content	content	NOUN
ajst-18569	42	38	,	,	PUNCT
ajst-18569	42	39	as	as	SCONJ
ajst-18569	42	40	shown	show	VERB
ajst-18569	42	41	in	in	ADP
ajst-18569	42	42	figure	figure	NOUN
ajst-18569	42	43	3	3	NUM
ajst-18569	42	44	.	.	PUNCT
ajst-18569	42	45	figure	figure	NOUN
ajst-18569	42	46	3	3	NUM
ajst-18569	42	47	.	.	PUNCT
ajst-18569	43	1	introduction	introduction	NOUN
ajst-18569	43	2	of	of	ADP
ajst-18569	43	3	eca	eca	NOUN
ajst-18569	43	4	into	into	ADP
ajst-18569	43	5	c3	c3	PROPN
ajst-18569	43	6	feature	feature	NOUN
ajst-18569	43	7	extraction	extraction	NOUN
ajst-18569	43	8	structure	structure	NOUN
ajst-18569	43	9	3	3	NUM
ajst-18569	43	10	.	.	PUNCT
ajst-18569	44	1	nwd	nwd	PROPN
ajst-18569	44	2	combined	combine	VERB
ajst-18569	44	3	with	with	ADP
ajst-18569	44	4	wiou	wiou	NOUN
ajst-18569	44	5	loss	loss	NOUN
ajst-18569	44	6	in	in	ADP
ajst-18569	44	7	the	the	DET
ajst-18569	44	8	normal	normal	ADJ
ajst-18569	44	9	iou	iou	NOUN
ajst-18569	44	10	calculation	calculation	NOUN
ajst-18569	44	11	,	,	PUNCT
ajst-18569	44	12	there	there	PRON
ajst-18569	44	13	is	be	VERB
ajst-18569	44	14	no	no	DET
ajst-18569	44	15	positional	positional	ADJ
ajst-18569	44	16	information	information	NOUN
ajst-18569	44	17	.	.	PUNCT
ajst-18569	45	1	when	when	SCONJ
ajst-18569	45	2	predicting	predict	VERB
ajst-18569	45	3	boxes	box	NOUN
ajst-18569	45	4	in	in	ADP
ajst-18569	45	5	different	different	ADJ
ajst-18569	45	6	directions	direction	NOUN
ajst-18569	45	7	,	,	PUNCT
ajst-18569	45	8	the	the	DET
ajst-18569	45	9	intersection	intersection	NOUN
ajst-18569	45	10	ratio	ratio	NOUN
ajst-18569	45	11	of	of	ADP
ajst-18569	45	12	the	the	DET
ajst-18569	45	13	predicted	predict	VERB
ajst-18569	45	14	box	box	NOUN
ajst-18569	45	15	and	and	CCONJ
ajst-18569	45	16	the	the	DET
ajst-18569	45	17	true	true	ADJ
ajst-18569	45	18	box	box	PROPN
ajst-18569	45	19	is	be	AUX
ajst-18569	45	20	the	the	DET
ajst-18569	45	21	same	same	ADJ
ajst-18569	45	22	.	.	PUNCT
ajst-18569	46	1	in	in	ADP
ajst-18569	46	2	the	the	DET
ajst-18569	46	3	iou	iou	NOUN
ajst-18569	46	4	calculation	calculation	NOUN
ajst-18569	46	5	,	,	PUNCT
ajst-18569	46	6	it	it	PRON
ajst-18569	46	7	may	may	AUX
ajst-18569	46	8	result	result	VERB
ajst-18569	46	9	in	in	ADP
ajst-18569	46	10	the	the	DET
ajst-18569	46	11	same	same	ADJ
ajst-18569	46	12	confidence	confidence	NOUN
ajst-18569	46	13	level	level	NOUN
ajst-18569	46	14	,	,	PUNCT
ajst-18569	46	15	but	but	CCONJ
ajst-18569	46	16	it	it	PRON
ajst-18569	46	17	can	can	AUX
ajst-18569	46	18	not	not	PART
ajst-18569	46	19	determine	determine	VERB
ajst-18569	46	20	which	which	DET
ajst-18569	46	21	one	one	NOUN
ajst-18569	46	22	is	be	AUX
ajst-18569	46	23	more	more	ADV
ajst-18569	46	24	accurate	accurate	ADJ
ajst-18569	46	25	.	.	PUNCT
ajst-18569	47	1	to	to	PART
ajst-18569	47	2	reduce	reduce	VERB
ajst-18569	47	3	the	the	DET
ajst-18569	47	4	uncertainty	uncertainty	NOUN
ajst-18569	47	5	caused	cause	VERB
ajst-18569	47	6	by	by	ADP
ajst-18569	47	7	the	the	DET
ajst-18569	47	8	loss	loss	NOUN
ajst-18569	47	9	function	function	NOUN
ajst-18569	47	10	,	,	PUNCT
ajst-18569	47	11	yolov5s	yolov5s	PROPN
ajst-18569	47	12	uses	use	VERB
ajst-18569	47	13	the	the	DET
ajst-18569	47	14	ciou	ciou	NOUN
ajst-18569	47	15	loss	loss	NOUN
ajst-18569	47	16	function	function	NOUN
ajst-18569	47	17	.	.	PUNCT
ajst-18569	48	1	the	the	DET
ajst-18569	48	2	detection	detection	NOUN
ajst-18569	48	3	capability	capability	NOUN
ajst-18569	48	4	for	for	ADP
ajst-18569	48	5	some	some	DET
ajst-18569	48	6	small	small	ADJ
ajst-18569	48	7	targets	target	NOUN
ajst-18569	48	8	is	be	AUX
ajst-18569	48	9	still	still	ADV
ajst-18569	48	10	relatively	relatively	ADV
ajst-18569	48	11	weak	weak	ADJ
ajst-18569	48	12	.	.	PUNCT
ajst-18569	49	1	for	for	ADP
ajst-18569	49	2	example	example	NOUN
ajst-18569	49	3	,	,	PUNCT
ajst-18569	49	4	in	in	ADP
ajst-18569	49	5	overhead	overhead	ADJ
ajst-18569	49	6	power	power	NOUN
ajst-18569	49	7	line	line	NOUN
ajst-18569	49	8	scenarios	scenario	NOUN
ajst-18569	49	9	,	,	PUNCT
ajst-18569	49	10	there	there	PRON
ajst-18569	49	11	may	may	AUX
ajst-18569	49	12	be	be	AUX
ajst-18569	49	13	small	small	ADJ
ajst-18569	49	14	targets	target	NOUN
ajst-18569	49	15	such	such	ADJ
ajst-18569	49	16	as	as	ADP
ajst-18569	49	17	high	high	ADJ
ajst-18569	49	18	-	-	PUNCT
ajst-18569	49	19	altitude	altitude	NOUN
ajst-18569	49	20	garbage	garbage	NOUN
ajst-18569	49	21	,	,	PUNCT
ajst-18569	49	22	drones	drone	NOUN
ajst-18569	49	23	,	,	PUNCT
ajst-18569	49	24	or	or	CCONJ
ajst-18569	49	25	kites	kite	NOUN
ajst-18569	49	26	.	.	PUNCT
ajst-18569	50	1	iou	iou	NOUN
ajst-18569	50	2	is	be	AUX
ajst-18569	50	3	very	very	ADV
ajst-18569	50	4	sensitive	sensitive	ADJ
ajst-18569	50	5	to	to	ADP
ajst-18569	50	6	positional	positional	ADJ
ajst-18569	50	7	deviations	deviation	NOUN
ajst-18569	50	8	of	of	ADP
ajst-18569	50	9	tiny	tiny	ADJ
ajst-18569	50	10	objects	object	NOUN
ajst-18569	50	11	and	and	CCONJ
ajst-18569	50	12	often	often	ADV
ajst-18569	50	13	can	can	AUX
ajst-18569	50	14	not	not	PART
ajst-18569	50	15	accurately	accurately	ADV
ajst-18569	50	16	detect	detect	VERB
ajst-18569	50	17	the	the	DET
ajst-18569	50	18	target	target	NOUN
ajst-18569	50	19	position	position	NOUN
ajst-18569	50	20	.	.	PUNCT
ajst-18569	51	1	to	to	PART
ajst-18569	51	2	address	address	VERB
ajst-18569	51	3	this	this	DET
ajst-18569	51	4	issue	issue	NOUN
ajst-18569	51	5	,	,	PUNCT
ajst-18569	51	6	a	a	DET
ajst-18569	51	7	method	method	NOUN
ajst-18569	51	8	specifically	specifically	ADV
ajst-18569	51	9	for	for	ADP
ajst-18569	51	10	detecting	detect	VERB
ajst-18569	51	11	small	small	ADJ
ajst-18569	51	12	targets	target	NOUN
ajst-18569	51	13	,	,	PUNCT
ajst-18569	51	14	nwd	nwd	NOUN
ajst-18569	51	15	combined	combine	VERB
ajst-18569	51	16	with	with	ADP
ajst-18569	51	17	wiou	wiou	NOUN
ajst-18569	51	18	detector	detector	NOUN
ajst-18569	51	19	,	,	PUNCT
ajst-18569	51	20	is	be	AUX
ajst-18569	51	21	proposed	propose	VERB
ajst-18569	51	22	in	in	ADP
ajst-18569	51	23	this	this	DET
ajst-18569	51	24	paper	paper	NOUN
ajst-18569	51	25	.	.	PUNCT
ajst-18569	52	1	nwd	nwd	PROPN
ajst-18569	52	2	is	be	AUX
ajst-18569	52	3	embedded	embed	VERB
ajst-18569	52	4	in	in	ADP
ajst-18569	52	5	the	the	DET
ajst-18569	52	6	loss	loss	NOUN
ajst-18569	52	7	functions	function	NOUN
ajst-18569	52	8	of	of	ADP
ajst-18569	52	9	label	label	NOUN
ajst-18569	52	10	classification	classification	NOUN
ajst-18569	52	11	,	,	PUNCT
ajst-18569	52	12	non	non	ADJ
ajst-18569	52	13	-	-	ADJ
ajst-18569	52	14	maximum	maximum	ADJ
ajst-18569	52	15	suppression	suppression	NOUN
ajst-18569	52	16	,	,	PUNCT
ajst-18569	52	17	and	and	CCONJ
ajst-18569	52	18	anchor	anchor	NOUN
ajst-18569	52	19	-	-	PUNCT
ajst-18569	52	20	based	base	VERB
ajst-18569	52	21	detectors	detector	NOUN
ajst-18569	52	22	,	,	PUNCT
ajst-18569	52	23	replacing	replace	VERB
ajst-18569	52	24	some	some	DET
ajst-18569	52	25	iou	iou	NOUN
ajst-18569	52	26	mechanisms	mechanism	NOUN
ajst-18569	52	27	.	.	PUNCT
ajst-18569	53	1	by	by	ADP
ajst-18569	53	2	adjusting	adjust	VERB
ajst-18569	53	3	the	the	DET
ajst-18569	53	4	different	different	ADJ
ajst-18569	53	5	proportions	proportion	NOUN
ajst-18569	53	6	of	of	ADP
ajst-18569	53	7	their	their	PRON
ajst-18569	53	8	combination	combination	NOUN
ajst-18569	53	9	,	,	PUNCT
ajst-18569	53	10	it	it	PRON
ajst-18569	53	11	balances	balance	VERB
ajst-18569	53	12	the	the	DET
ajst-18569	53	13	detection	detection	NOUN
ajst-18569	53	14	capabilities	capability	NOUN
ajst-18569	53	15	of	of	ADP
ajst-18569	53	16	large	large	ADJ
ajst-18569	53	17	and	and	CCONJ
ajst-18569	53	18	small	small	ADJ
ajst-18569	53	19	targets	target	NOUN
ajst-18569	53	20	,	,	PUNCT
ajst-18569	53	21	achieving	achieve	VERB
ajst-18569	53	22	the	the	DET
ajst-18569	53	23	most	most	ADV
ajst-18569	53	24	optimal	optimal	ADJ
ajst-18569	53	25	model	model	NOUN
ajst-18569	53	26	detection	detection	NOUN
ajst-18569	53	27	performance	performance	NOUN
ajst-18569	53	28	.	.	PUNCT
ajst-18569	54	1	a	a	DET
ajst-18569	54	2	parameter	parameter	NOUN
ajst-18569	54	3	called	call	VERB
ajst-18569	54	4	"	"	PUNCT
ajst-18569	54	5	rat	rat	NOUN
ajst-18569	54	6	"	"	PUNCT
ajst-18569	54	7	is	be	AUX
ajst-18569	54	8	set	set	VERB
ajst-18569	54	9	to	to	PART
ajst-18569	54	10	control	control	VERB
ajst-18569	54	11	the	the	DET
ajst-18569	54	12	proportion	proportion	NOUN
ajst-18569	54	13	.	.	PUNCT
ajst-18569	55	1	the	the	DET
ajst-18569	55	2	smaller	small	ADJ
ajst-18569	55	3	the	the	DET
ajst-18569	55	4	value	value	NOUN
ajst-18569	55	5	,	,	PUNCT
ajst-18569	55	6	the	the	PRON
ajst-18569	55	7	greater	great	ADJ
ajst-18569	55	8	the	the	DET
ajst-18569	55	9	proportion	proportion	NOUN
ajst-18569	55	10	occupied	occupy	VERB
ajst-18569	55	11	by	by	ADP
ajst-18569	55	12	nwd	nwd	NOUN
ajst-18569	55	13	,	,	PUNCT
ajst-18569	55	14	making	make	VERB
ajst-18569	55	15	it	it	PRON
ajst-18569	55	16	more	more	ADV
ajst-18569	55	17	suitable	suitable	ADJ
ajst-18569	55	18	for	for	ADP
ajst-18569	55	19	small	small	ADJ
ajst-18569	55	20	target	target	NOUN
ajst-18569	55	21	detection	detection	NOUN
ajst-18569	55	22	.	.	PUNCT
ajst-18569	56	1	it	it	PRON
ajst-18569	56	2	has	have	VERB
ajst-18569	56	3	strong	strong	ADJ
ajst-18569	56	4	adaptability	adaptability	NOUN
ajst-18569	56	5	to	to	PART
ajst-18569	56	6	target	target	VERB
ajst-18569	56	7	sizes	size	NOUN
ajst-18569	56	8	in	in	ADP
ajst-18569	56	9	different	different	ADJ
ajst-18569	56	10	environments	environment	NOUN
ajst-18569	56	11	.	.	PUNCT
ajst-18569	57	1	the	the	DET
ajst-18569	57	2	specific	specific	ADJ
ajst-18569	57	3	calculation	calculation	NOUN
ajst-18569	57	4	method	method	NOUN
ajst-18569	57	5	is	be	AUX
ajst-18569	57	6	as	as	SCONJ
ajst-18569	57	7	follows	follow	VERB
ajst-18569	57	8	.	.	PUNCT
ajst-18569	58	1	iou	iou	NOUN
ajst-18569	58	2	=	=	SYM
ajst-18569	58	3	nwd	nwd	NOUN
ajst-18569	58	4	(	(	PUNCT
ajst-18569	58	5	1	1	X
ajst-18569	58	6	)	)	PUNCT
ajst-18569	58	7	wiourat	wiourat	NOUN
ajst-18569	58	8	rat	rat	PROPN
ajst-18569	58	9			PROPN
ajst-18569	58	10			PROPN
ajst-18569	58	11			PROPN
ajst-18569	58	12	(	(	PUNCT
ajst-18569	58	13	1	1	NUM
ajst-18569	58	14	)	)	PUNCT
ajst-18569	58	15	therefore	therefore	ADV
ajst-18569	58	16	,	,	PUNCT
ajst-18569	58	17	this	this	DET
ajst-18569	58	18	paper	paper	NOUN
ajst-18569	58	19	sets	set	VERB
ajst-18569	58	20	the	the	DET
ajst-18569	58	21	ratio	ratio	NOUN
ajst-18569	58	22	rat	rat	NOUN
ajst-18569	58	23	to	to	ADP
ajst-18569	58	24	0.5	0.5	NUM
ajst-18569	58	25	to	to	PART
ajst-18569	58	26	achieve	achieve	VERB
ajst-18569	58	27	the	the	DET
ajst-18569	58	28	best	good	ADJ
ajst-18569	58	29	results	result	NOUN
ajst-18569	58	30	.	.	PUNCT
ajst-18569	59	1	the	the	DET
ajst-18569	59	2	detector	detector	NOUN
ajst-18569	59	3	schematic	schematic	NOUN
ajst-18569	59	4	is	be	AUX
ajst-18569	59	5	shown	show	VERB
ajst-18569	59	6	in	in	ADP
ajst-18569	59	7	figure	figure	NOUN
ajst-18569	59	8	4	4	NUM
ajst-18569	59	9	.	.	PUNCT
ajst-18569	59	10	figure	figure	VERB
ajst-18569	59	11	4	4	NUM
ajst-18569	59	12	.	.	PUNCT
ajst-18569	60	1	nwd	nwd	PROPN
ajst-18569	60	2	combined	combine	VERB
ajst-18569	60	3	with	with	ADP
ajst-18569	60	4	wiou	wiou	NOUN
ajst-18569	60	5	detector	detector	NOUN
ajst-18569	60	6	191	191	NUM
ajst-18569	60	7	4	4	NUM
ajst-18569	60	8	.	.	PUNCT
ajst-18569	60	9	experimental	experimental	ADJ
ajst-18569	60	10	results	result	NOUN
ajst-18569	60	11	and	and	CCONJ
ajst-18569	60	12	analysis	analysis	NOUN
ajst-18569	60	13	in	in	ADP
ajst-18569	60	14	this	this	DET
ajst-18569	60	15	article	article	NOUN
ajst-18569	60	16	,	,	PUNCT
ajst-18569	60	17	experiments	experiment	NOUN
ajst-18569	60	18	based	base	VERB
ajst-18569	60	19	on	on	ADP
ajst-18569	60	20	different	different	ADJ
ajst-18569	60	21	attention	attention	NOUN
ajst-18569	60	22	mechanisms	mechanism	NOUN
ajst-18569	60	23	,	,	PUNCT
ajst-18569	60	24	comparative	comparative	ADJ
ajst-18569	60	25	experiments	experiment	NOUN
ajst-18569	60	26	of	of	ADP
ajst-18569	60	27	improved	improved	ADJ
ajst-18569	60	28	loss	loss	NOUN
ajst-18569	60	29	functions	function	NOUN
ajst-18569	60	30	,	,	PUNCT
ajst-18569	60	31	ablation	ablation	NOUN
ajst-18569	60	32	experiments	experiment	NOUN
ajst-18569	60	33	,	,	PUNCT
ajst-18569	60	34	and	and	CCONJ
ajst-18569	60	35	experiments	experiment	NOUN
ajst-18569	60	36	comparing	compare	VERB
ajst-18569	60	37	with	with	ADP
ajst-18569	60	38	other	other	ADJ
ajst-18569	60	39	algorithms	algorithm	NOUN
ajst-18569	60	40	were	be	AUX
ajst-18569	60	41	all	all	PRON
ajst-18569	60	42	conducted	conduct	VERB
ajst-18569	60	43	in	in	ADP
ajst-18569	60	44	the	the	DET
ajst-18569	60	45	same	same	ADJ
ajst-18569	60	46	environment	environment	NOUN
ajst-18569	60	47	settings	setting	NOUN
ajst-18569	60	48	.	.	PUNCT
ajst-18569	61	1	to	to	PART
ajst-18569	61	2	verify	verify	VERB
ajst-18569	61	3	the	the	DET
ajst-18569	61	4	reliability	reliability	NOUN
ajst-18569	61	5	of	of	ADP
ajst-18569	61	6	the	the	DET
ajst-18569	61	7	proposed	propose	VERB
ajst-18569	61	8	improved	improve	VERB
ajst-18569	61	9	algorithm	algorithm	NOUN
ajst-18569	61	10	in	in	ADP
ajst-18569	61	11	this	this	DET
ajst-18569	61	12	article	article	NOUN
ajst-18569	61	13	,	,	PUNCT
ajst-18569	61	14	images	image	NOUN
ajst-18569	61	15	were	be	AUX
ajst-18569	61	16	selected	select	VERB
ajst-18569	61	17	from	from	ADP
ajst-18569	61	18	the	the	DET
ajst-18569	61	19	ones	one	NOUN
ajst-18569	61	20	captured	capture	VERB
ajst-18569	61	21	by	by	ADP
ajst-18569	61	22	cameras	camera	NOUN
ajst-18569	61	23	installed	instal	VERB
ajst-18569	61	24	on	on	ADP
ajst-18569	61	25	high	high	ADJ
ajst-18569	61	26	-	-	PUNCT
ajst-18569	61	27	voltage	voltage	NOUN
ajst-18569	61	28	transmission	transmission	NOUN
ajst-18569	61	29	lines	line	NOUN
ajst-18569	61	30	and	and	CCONJ
ajst-18569	61	31	nearby	nearby	ADJ
ajst-18569	61	32	power	power	NOUN
ajst-18569	61	33	poles	pole	NOUN
ajst-18569	61	34	,	,	PUNCT
ajst-18569	61	35	depicting	depict	VERB
ajst-18569	61	36	threats	threat	NOUN
ajst-18569	61	37	to	to	ADP
ajst-18569	61	38	transmission	transmission	NOUN
ajst-18569	61	39	safety	safety	NOUN
ajst-18569	61	40	and	and	CCONJ
ajst-18569	61	41	other	other	ADJ
ajst-18569	61	42	common	common	ADJ
ajst-18569	61	43	foreign	foreign	ADJ
ajst-18569	61	44	object	object	NOUN
ajst-18569	61	45	targets	target	NOUN
ajst-18569	61	46	on	on	ADP
ajst-18569	61	47	transmission	transmission	NOUN
ajst-18569	61	48	lines	line	NOUN
ajst-18569	61	49	,	,	PUNCT
ajst-18569	61	50	creating	create	VERB
ajst-18569	61	51	a	a	DET
ajst-18569	61	52	dataset	dataset	NOUN
ajst-18569	61	53	for	for	ADP
ajst-18569	61	54	external	external	ADJ
ajst-18569	61	55	intrusion	intrusion	NOUN
ajst-18569	61	56	prevention	prevention	NOUN
ajst-18569	61	57	,	,	PUNCT
ajst-18569	61	58	totaling	total	VERB
ajst-18569	61	59	2500	2500	NUM
ajst-18569	61	60	images	image	NOUN
ajst-18569	61	61	,	,	PUNCT
ajst-18569	61	62	with	with	ADP
ajst-18569	61	63	some	some	DET
ajst-18569	61	64	samples	sample	NOUN
ajst-18569	61	65	shown	show	VERB
ajst-18569	61	66	in	in	ADP
ajst-18569	61	67	figure	figure	NOUN
ajst-18569	61	68	5	5	NUM
ajst-18569	61	69	.	.	PUNCT
ajst-18569	61	70	to	to	PART
ajst-18569	61	71	prevent	prevent	VERB
ajst-18569	61	72	data	datum	NOUN
ajst-18569	61	73	imbalance	imbalance	NOUN
ajst-18569	61	74	caused	cause	VERB
ajst-18569	61	75	by	by	ADP
ajst-18569	61	76	small	small	ADJ
ajst-18569	61	77	samples	sample	NOUN
ajst-18569	61	78	,	,	PUNCT
ajst-18569	61	79	data	datum	NOUN
ajst-18569	61	80	augmentation	augmentation	NOUN
ajst-18569	61	81	operations	operation	NOUN
ajst-18569	61	82	were	be	AUX
ajst-18569	61	83	performed	perform	VERB
ajst-18569	61	84	(	(	PUNCT
ajst-18569	61	85	first	first	ADV
ajst-18569	61	86	dividing	divide	VERB
ajst-18569	61	87	the	the	DET
ajst-18569	61	88	dataset	dataset	NOUN
ajst-18569	61	89	,	,	PUNCT
ajst-18569	61	90	then	then	ADV
ajst-18569	61	91	separately	separately	ADV
ajst-18569	61	92	augmenting	augment	VERB
ajst-18569	61	93	the	the	DET
ajst-18569	61	94	training	training	NOUN
ajst-18569	61	95	set	set	VERB
ajst-18569	61	96	to	to	PART
ajst-18569	61	97	avoid	avoid	VERB
ajst-18569	61	98	the	the	DET
ajst-18569	61	99	impact	impact	NOUN
ajst-18569	61	100	of	of	ADP
ajst-18569	61	101	augmented	augment	VERB
ajst-18569	61	102	data	datum	NOUN
ajst-18569	61	103	on	on	ADP
ajst-18569	61	104	test	test	NOUN
ajst-18569	61	105	results	result	NOUN
ajst-18569	61	106	in	in	ADP
ajst-18569	61	107	the	the	DET
ajst-18569	61	108	test	test	NOUN
ajst-18569	61	109	set	set	NOUN
ajst-18569	61	110	)	)	PUNCT
ajst-18569	61	111	,	,	PUNCT
ajst-18569	61	112	involving	involve	VERB
ajst-18569	61	113	operations	operation	NOUN
ajst-18569	61	114	such	such	ADJ
ajst-18569	61	115	as	as	ADP
ajst-18569	61	116	image	image	NOUN
ajst-18569	61	117	cropping	cropping	NOUN
ajst-18569	61	118	,	,	PUNCT
ajst-18569	61	119	synthesis	synthesis	NOUN
ajst-18569	61	120	,	,	PUNCT
ajst-18569	61	121	etc	etc	X
ajst-18569	61	122	,	,	PUNCT
ajst-18569	61	123	to	to	PART
ajst-18569	61	124	expand	expand	VERB
ajst-18569	61	125	the	the	DET
ajst-18569	61	126	image	image	NOUN
ajst-18569	61	127	samples	sample	NOUN
ajst-18569	61	128	and	and	CCONJ
ajst-18569	61	129	ensure	ensure	VERB
ajst-18569	61	130	a	a	DET
ajst-18569	61	131	roughly	roughly	ADV
ajst-18569	61	132	equal	equal	ADJ
ajst-18569	61	133	number	number	NOUN
ajst-18569	61	134	of	of	ADP
ajst-18569	61	135	images	image	NOUN
ajst-18569	61	136	for	for	ADP
ajst-18569	61	137	each	each	DET
ajst-18569	61	138	category	category	NOUN
ajst-18569	61	139	.	.	PUNCT
ajst-18569	62	1	the	the	DET
ajst-18569	62	2	dataset	dataset	NOUN
ajst-18569	62	3	was	be	AUX
ajst-18569	62	4	divided	divide	VERB
ajst-18569	62	5	into	into	ADP
ajst-18569	62	6	training	training	NOUN
ajst-18569	62	7	,	,	PUNCT
ajst-18569	62	8	testing	testing	NOUN
ajst-18569	62	9	,	,	PUNCT
ajst-18569	62	10	and	and	CCONJ
ajst-18569	62	11	validation	validation	NOUN
ajst-18569	62	12	sets	set	NOUN
ajst-18569	62	13	in	in	ADP
ajst-18569	62	14	the	the	DET
ajst-18569	62	15	proportion	proportion	NOUN
ajst-18569	62	16	of	of	ADP
ajst-18569	62	17	,	,	PUNCT
ajst-18569	62	18	with	with	SCONJ
ajst-18569	62	19	all	all	DET
ajst-18569	62	20	image	image	NOUN
ajst-18569	62	21	data	datum	NOUN
ajst-18569	62	22	annotated	annotate	VERB
ajst-18569	62	23	using	use	VERB
ajst-18569	62	24	labelimg	labelimg	NOUN
ajst-18569	62	25	,	,	PUNCT
ajst-18569	62	26	totaling	total	VERB
ajst-18569	62	27	4733	4733	NUM
ajst-18569	62	28	images	image	NOUN
ajst-18569	62	29	across	across	ADP
ajst-18569	62	30	7	7	NUM
ajst-18569	62	31	categories	category	NOUN
ajst-18569	62	32	.	.	PUNCT
ajst-18569	63	1	figure	figure	NOUN
ajst-18569	63	2	5	5	NUM
ajst-18569	63	3	.	.	PUNCT
ajst-18569	63	4	transmission	transmission	NOUN
ajst-18569	63	5	line	line	NOUN
ajst-18569	63	6	foreign	foreign	ADJ
ajst-18569	63	7	body	body	NOUN
ajst-18569	63	8	invasion	invasion	NOUN
ajst-18569	63	9	situation	situation	NOUN
ajst-18569	63	10	in	in	ADP
ajst-18569	63	11	the	the	DET
ajst-18569	63	12	experiment	experiment	NOUN
ajst-18569	63	13	,	,	PUNCT
ajst-18569	63	14	to	to	PART
ajst-18569	63	15	evaluate	evaluate	VERB
ajst-18569	63	16	the	the	DET
ajst-18569	63	17	performance	performance	NOUN
ajst-18569	63	18	of	of	ADP
ajst-18569	63	19	the	the	DET
ajst-18569	63	20	algorithm	algorithm	NOUN
ajst-18569	63	21	for	for	ADP
ajst-18569	63	22	preventing	prevent	VERB
ajst-18569	63	23	external	external	ADJ
ajst-18569	63	24	damage	damage	NOUN
ajst-18569	63	25	to	to	ADP
ajst-18569	63	26	transmission	transmission	NOUN
ajst-18569	63	27	line	line	NOUN
ajst-18569	63	28	routes	route	NOUN
ajst-18569	63	29	,	,	PUNCT
ajst-18569	63	30	accuracy	accuracy	NOUN
ajst-18569	63	31	rate	rate	NOUN
ajst-18569	63	32	p	p	NOUN
ajst-18569	63	33	,	,	PUNCT
ajst-18569	63	34	recall	recall	NOUN
ajst-18569	63	35	rate	rate	NOUN
ajst-18569	63	36	r	r	NOUN
ajst-18569	63	37	,	,	PUNCT
ajst-18569	63	38	average	average	ADJ
ajst-18569	63	39	precision	precision	NOUN
ajst-18569	63	40	map	map	NOUN
ajst-18569	63	41	for	for	ADP
ajst-18569	63	42	each	each	DET
ajst-18569	63	43	class	class	NOUN
ajst-18569	63	44	,	,	PUNCT
ajst-18569	63	45	and	and	CCONJ
ajst-18569	63	46	frames	frame	NOUN
ajst-18569	63	47	per	per	ADP
ajst-18569	63	48	second	second	ADJ
ajst-18569	63	49	fps	fps	NOUN
ajst-18569	63	50	for	for	ADP
ajst-18569	63	51	real	real	ADJ
ajst-18569	63	52	-	-	PUNCT
ajst-18569	63	53	time	time	NOUN
ajst-18569	63	54	detection	detection	NOUN
ajst-18569	63	55	of	of	ADP
ajst-18569	63	56	images	image	NOUN
ajst-18569	63	57	are	be	AUX
ajst-18569	63	58	used	use	VERB
ajst-18569	63	59	in	in	ADP
ajst-18569	63	60	the	the	DET
ajst-18569	63	61	calculation	calculation	NOUN
ajst-18569	63	62	formula	formula	NOUN
ajst-18569	63	63	.	.	PUNCT
ajst-18569	64	1	tp	tp	ADP
ajst-18569	64	2	p	p	NOUN
ajst-18569	64	3	tp	tp	ADP
ajst-18569	64	4	fp	fp	PROPN
ajst-18569	64	5			PROPN
ajst-18569	64	6			X
ajst-18569	64	7	(	(	PUNCT
ajst-18569	64	8	2	2	NUM
ajst-18569	64	9	)	)	PUNCT
ajst-18569	64	10	tp	tp	ADP
ajst-18569	64	11	r	r	NOUN
ajst-18569	64	12	tp	tp	NOUN
ajst-18569	64	13	fn	fn	PROPN
ajst-18569	65	1			PROPN
ajst-18569	65	2			X
ajst-18569	65	3	(	(	PUNCT
ajst-18569	65	4	3	3	NUM
ajst-18569	65	5	)	)	PUNCT
ajst-18569	65	6	1	1	NUM
ajst-18569	65	7	0	0	NUM
ajst-18569	65	8	ap	ap	PROPN
ajst-18569	65	9	pdr	pdr	PROPN
ajst-18569	65	10			X
ajst-18569	65	11	(	(	PUNCT
ajst-18569	65	12	4	4	X
ajst-18569	65	13	)	)	PUNCT
ajst-18569	65	14	tp	tp	NOUN
ajst-18569	65	15	is	be	AUX
ajst-18569	65	16	the	the	DET
ajst-18569	65	17	number	number	NOUN
ajst-18569	65	18	of	of	ADP
ajst-18569	65	19	true	true	ADJ
ajst-18569	65	20	positive	positive	ADJ
ajst-18569	65	21	samples	sample	NOUN
ajst-18569	65	22	that	that	PRON
ajst-18569	65	23	the	the	DET
ajst-18569	65	24	model	model	NOUN
ajst-18569	65	25	correctly	correctly	ADV
ajst-18569	65	26	predicts	predict	VERB
ajst-18569	65	27	as	as	ADP
ajst-18569	65	28	breaches	breach	NOUN
ajst-18569	65	29	,	,	PUNCT
ajst-18569	65	30	fp	fp	X
ajst-18569	65	31	is	be	AUX
ajst-18569	65	32	the	the	DET
ajst-18569	65	33	number	number	NOUN
ajst-18569	65	34	of	of	ADP
ajst-18569	65	35	false	false	ADJ
ajst-18569	65	36	positive	positive	ADJ
ajst-18569	65	37	samples	sample	NOUN
ajst-18569	65	38	that	that	PRON
ajst-18569	65	39	the	the	DET
ajst-18569	65	40	model	model	NOUN
ajst-18569	65	41	incorrectly	incorrectly	ADV
ajst-18569	65	42	predicts	predict	VERB
ajst-18569	65	43	as	as	ADP
ajst-18569	65	44	breaches	breach	NOUN
ajst-18569	65	45	,	,	PUNCT
ajst-18569	65	46	fn	fn	NOUN
ajst-18569	65	47	is	be	AUX
ajst-18569	65	48	the	the	DET
ajst-18569	65	49	number	number	NOUN
ajst-18569	65	50	of	of	ADP
ajst-18569	65	51	breaches	breach	NOUN
ajst-18569	65	52	missed	miss	VERB
ajst-18569	65	53	by	by	ADP
ajst-18569	65	54	the	the	DET
ajst-18569	65	55	model	model	NOUN
ajst-18569	65	56	,	,	PUNCT
ajst-18569	65	57	and	and	CCONJ
ajst-18569	65	58	the	the	DET
ajst-18569	65	59	detection	detection	NOUN
ajst-18569	65	60	accuracy	accuracy	NOUN
ajst-18569	65	61	ap	ap	PROPN
ajst-18569	65	62	for	for	ADP
ajst-18569	65	63	each	each	DET
ajst-18569	65	64	class	class	NOUN
ajst-18569	65	65	represents	represent	VERB
ajst-18569	65	66	the	the	DET
ajst-18569	65	67	accuracy	accuracy	NOUN
ajst-18569	65	68	of	of	ADP
ajst-18569	65	69	breach	breach	NOUN
ajst-18569	65	70	recognition	recognition	NOUN
ajst-18569	65	71	when	when	SCONJ
ajst-18569	65	72	iou	iou	NOUN
ajst-18569	65	73	is	be	AUX
ajst-18569	65	74	greater	great	ADJ
ajst-18569	65	75	than	than	ADP
ajst-18569	65	76	0.5	0.5	NUM
ajst-18569	65	77	.	.	PUNCT
ajst-18569	66	1	map	map	NOUN
ajst-18569	66	2	is	be	AUX
ajst-18569	66	3	the	the	DET
ajst-18569	66	4	average	average	ADJ
ajst-18569	66	5	detection	detection	NOUN
ajst-18569	66	6	accuracy	accuracy	NOUN
ajst-18569	66	7	for	for	ADP
ajst-18569	66	8	all	all	DET
ajst-18569	66	9	classes	class	NOUN
ajst-18569	66	10	,	,	PUNCT
ajst-18569	66	11	where	where	SCONJ
ajst-18569	66	12	n	n	PRON
ajst-18569	66	13	represents	represent	VERB
ajst-18569	66	14	the	the	DET
ajst-18569	66	15	number	number	NOUN
ajst-18569	66	16	of	of	ADP
ajst-18569	66	17	classes	class	NOUN
ajst-18569	66	18	in	in	ADP
ajst-18569	66	19	the	the	DET
ajst-18569	66	20	dataset	dataset	NOUN
ajst-18569	66	21	,	,	PUNCT
ajst-18569	66	22	i.e.	i.e.	X
ajst-18569	66	23	,	,	PUNCT
ajst-18569	66	24	n=7	n=7	PROPN
ajst-18569	66	25	.	.	PUNCT
ajst-18569	67	1	the	the	PRON
ajst-18569	67	2	higher	high	ADJ
ajst-18569	67	3	the	the	DET
ajst-18569	67	4	map	map	NOUN
ajst-18569	67	5	value	value	NOUN
ajst-18569	67	6	,	,	PUNCT
ajst-18569	67	7	the	the	PRON
ajst-18569	67	8	better	well	ADJ
ajst-18569	67	9	the	the	DET
ajst-18569	67	10	model	model	NOUN
ajst-18569	67	11	's	's	PART
ajst-18569	67	12	detection	detection	NOUN
ajst-18569	67	13	performance	performance	NOUN
ajst-18569	67	14	.	.	PUNCT
ajst-18569	68	1	n	n	CCONJ
ajst-18569	68	2	ii	ii	PROPN
ajst-18569	68	3	ap	ap	PROPN
ajst-18569	68	4	map	map	VERB
ajst-18569	68	5	n	n	ADV
ajst-18569	68	6			NOUN
ajst-18569	68	7			X
ajst-18569	68	8	(	(	PUNCT
ajst-18569	68	9	5	5	X
ajst-18569	68	10	)	)	PUNCT
ajst-18569	68	11	4.1.results	4.1.result	NOUN
ajst-18569	68	12	and	and	CCONJ
ajst-18569	68	13	analysis	analysis	NOUN
ajst-18569	68	14	4.1.1	4.1.1	NUM
ajst-18569	68	15	.	.	PUNCT
ajst-18569	69	1	analysis	analysis	NOUN
ajst-18569	69	2	of	of	ADP
ajst-18569	69	3	ablation	ablation	NOUN
ajst-18569	69	4	experimental	experimental	ADJ
ajst-18569	69	5	results	result	NOUN
ajst-18569	69	6	to	to	PART
ajst-18569	69	7	demonstrate	demonstrate	VERB
ajst-18569	69	8	the	the	DET
ajst-18569	69	9	validity	validity	NOUN
ajst-18569	69	10	of	of	ADP
ajst-18569	69	11	the	the	DET
ajst-18569	69	12	experiment	experiment	NOUN
ajst-18569	69	13	and	and	CCONJ
ajst-18569	69	14	verify	verify	VERB
ajst-18569	69	15	the	the	DET
ajst-18569	69	16	effectiveness	effectiveness	NOUN
ajst-18569	69	17	of	of	ADP
ajst-18569	69	18	the	the	DET
ajst-18569	69	19	proposed	propose	VERB
ajst-18569	69	20	three	three	NUM
ajst-18569	69	21	improvement	improvement	NOUN
ajst-18569	69	22	strategies	strategy	NOUN
ajst-18569	69	23	,	,	PUNCT
ajst-18569	69	24	we	we	PRON
ajst-18569	69	25	conducted	conduct	VERB
ajst-18569	69	26	ablation	ablation	NOUN
ajst-18569	69	27	experiments	experiment	NOUN
ajst-18569	69	28	separately	separately	ADV
ajst-18569	69	29	.	.	PUNCT
ajst-18569	70	1	by	by	ADP
ajst-18569	70	2	controlling	control	VERB
ajst-18569	70	3	variables	variable	NOUN
ajst-18569	70	4	,	,	PUNCT
ajst-18569	70	5	we	we	PRON
ajst-18569	70	6	ensured	ensure	VERB
ajst-18569	70	7	the	the	DET
ajst-18569	70	8	rigor	rigor	NOUN
ajst-18569	70	9	of	of	ADP
ajst-18569	70	10	the	the	DET
ajst-18569	70	11	experiment	experiment	NOUN
ajst-18569	70	12	,	,	PUNCT
ajst-18569	70	13	and	and	CCONJ
ajst-18569	70	14	the	the	DET
ajst-18569	70	15	results	result	NOUN
ajst-18569	70	16	are	be	AUX
ajst-18569	70	17	shown	show	VERB
ajst-18569	70	18	in	in	ADP
ajst-18569	70	19	table	table	NOUN
ajst-18569	70	20	1	1	NUM
ajst-18569	70	21	.	.	PUNCT
ajst-18569	70	22	table	table	NOUN
ajst-18569	70	23	1	1	NUM
ajst-18569	70	24	.	.	PUNCT
ajst-18569	71	1	analysis	analysis	NOUN
ajst-18569	71	2	of	of	ADP
ajst-18569	71	3	ablation	ablation	NOUN
ajst-18569	71	4	experiment	experiment	NOUN
ajst-18569	71	5	results	result	VERB
ajst-18569	71	6	dcn	dcn	PROPN
ajst-18569	71	7	eca	eca	NOUN
ajst-18569	71	8	nwd+wiou	nwd+wiou	NOUN
ajst-18569	72	1	p/%	p/%	PROPN
ajst-18569	72	2	r/%	r/%	PROPN
ajst-18569	72	3	map/%	map/%	PROPN
ajst-18569	72	4	fps	fps	PROPN
ajst-18569	72	5			PROPN
ajst-18569	72	6			PROPN
ajst-18569	72	7			PROPN
ajst-18569	72	8			PROPN
ajst-18569	72	9			PROPN
ajst-18569	72	10			ADP
ajst-18569	72	11	91.23	91.23	NUM
ajst-18569	72	12	93.82	93.82	NUM
ajst-18569	72	13	92.59	92.59	NUM
ajst-18569	72	14	93.34	93.34	NUM
ajst-18569	72	15	96.44	96.44	NUM
ajst-18569	72	16	82.80	82.80	NUM
ajst-18569	72	17	85.63	85.63	NUM
ajst-18569	72	18	83.89	83.89	NUM
ajst-18569	72	19	84.55	84.55	NUM
ajst-18569	72	20	87.09	87.09	NUM
ajst-18569	72	21	85.19	85.19	NUM
ajst-18569	72	22	88.46	88.46	NUM
ajst-18569	72	23	86.25	86.25	NUM
ajst-18569	72	24	87.72	87.72	NUM
ajst-18569	72	25	91.34	91.34	NUM
ajst-18569	72	26	151.51	151.51	NUM
ajst-18569	72	27	147.05	147.05	NUM
ajst-18569	72	28	144.92	144.92	NUM
ajst-18569	72	29	138.88	138.88	NUM
ajst-18569	72	30	131.57	131.57	NUM
ajst-18569	72	31	based	base	VERB
ajst-18569	72	32	on	on	ADP
ajst-18569	72	33	the	the	DET
ajst-18569	72	34	results	result	NOUN
ajst-18569	72	35	of	of	ADP
ajst-18569	72	36	the	the	DET
ajst-18569	72	37	ablation	ablation	NOUN
ajst-18569	72	38	experiments	experiment	NOUN
ajst-18569	72	39	in	in	ADP
ajst-18569	72	40	table	table	NOUN
ajst-18569	72	41	2	2	NUM
ajst-18569	72	42	,	,	PUNCT
ajst-18569	72	43	it	it	PRON
ajst-18569	72	44	can	can	AUX
ajst-18569	72	45	be	be	AUX
ajst-18569	72	46	seen	see	VERB
ajst-18569	72	47	that	that	SCONJ
ajst-18569	72	48	using	use	VERB
ajst-18569	72	49	the	the	DET
ajst-18569	72	50	original	original	ADJ
ajst-18569	72	51	yolov5s	yolov5s	PROPN
ajst-18569	72	52	model	model	NOUN
ajst-18569	72	53	for	for	ADP
ajst-18569	72	54	testing	testing	NOUN
ajst-18569	72	55	experiments	experiment	NOUN
ajst-18569	72	56	achieved	achieve	VERB
ajst-18569	72	57	a	a	DET
ajst-18569	72	58	high	high	ADJ
ajst-18569	72	59	fps	fps	NOUN
ajst-18569	72	60	of	of	ADP
ajst-18569	72	61	151.51	151.51	NUM
ajst-18569	72	62	,	,	PUNCT
ajst-18569	72	63	meeting	meet	VERB
ajst-18569	72	64	the	the	DET
ajst-18569	72	65	real	real	ADJ
ajst-18569	72	66	-	-	PUNCT
ajst-18569	72	67	time	time	NOUN
ajst-18569	72	68	monitoring	monitoring	NOUN
ajst-18569	72	69	requirements	requirement	NOUN
ajst-18569	72	70	of	of	ADP
ajst-18569	72	71	power	power	NOUN
ajst-18569	72	72	transmission	transmission	NOUN
ajst-18569	72	73	lines	line	NOUN
ajst-18569	72	74	.	.	PUNCT
ajst-18569	73	1	by	by	ADP
ajst-18569	73	2	adding	add	VERB
ajst-18569	73	3	deformable	deformable	ADJ
ajst-18569	73	4	convolutional	convolutional	ADJ
ajst-18569	73	5	networks	network	NOUN
ajst-18569	73	6	to	to	PART
ajst-18569	73	7	extract	extract	VERB
ajst-18569	73	8	features	feature	NOUN
ajst-18569	73	9	and	and	CCONJ
ajst-18569	73	10	introducing	introduce	VERB
ajst-18569	73	11	offset	offset	VERB
ajst-18569	73	12	variables	variable	NOUN
ajst-18569	73	13	leading	lead	VERB
ajst-18569	73	14	to	to	ADP
ajst-18569	73	15	an	an	DET
ajst-18569	73	16	increase	increase	NOUN
ajst-18569	73	17	in	in	ADP
ajst-18569	73	18	network	network	NOUN
ajst-18569	73	19	parameters	parameter	NOUN
ajst-18569	73	20	,	,	PUNCT
ajst-18569	73	21	although	although	SCONJ
ajst-18569	73	22	this	this	PRON
ajst-18569	73	23	resulted	result	VERB
ajst-18569	73	24	in	in	ADP
ajst-18569	73	25	a	a	DET
ajst-18569	73	26	decrease	decrease	NOUN
ajst-18569	73	27	in	in	ADP
ajst-18569	73	28	fps	fps	NOUN
ajst-18569	73	29	by	by	ADP
ajst-18569	73	30	4.46	4.46	NUM
ajst-18569	73	31	,	,	PUNCT
ajst-18569	73	32	the	the	DET
ajst-18569	73	33	model	model	NOUN
ajst-18569	73	34	showed	show	VERB
ajst-18569	73	35	improvements	improvement	NOUN
ajst-18569	73	36	in	in	ADP
ajst-18569	73	37	precision	precision	NOUN
ajst-18569	73	38	p	p	X
ajst-18569	73	39	,	,	PUNCT
ajst-18569	73	40	recall	recall	NOUN
ajst-18569	73	41	r	r	NOUN
ajst-18569	73	42	,	,	PUNCT
ajst-18569	73	43	and	and	CCONJ
ajst-18569	73	44	mean	mean	VERB
ajst-18569	73	45	average	average	ADJ
ajst-18569	73	46	precision	precision	NOUN
ajst-18569	73	47	map	map	NOUN
ajst-18569	73	48	by	by	ADP
ajst-18569	73	49	2.59	2.59	NUM
ajst-18569	73	50	%	%	NOUN
ajst-18569	73	51	,	,	PUNCT
ajst-18569	73	52	2.83	2.83	NUM
ajst-18569	73	53	%	%	NOUN
ajst-18569	73	54	,	,	PUNCT
ajst-18569	73	55	and	and	CCONJ
ajst-18569	73	56	3.27	3.27	NUM
ajst-18569	73	57	%	%	NOUN
ajst-18569	73	58	,	,	PUNCT
ajst-18569	73	59	respectively	respectively	ADV
ajst-18569	73	60	.	.	PUNCT
ajst-18569	74	1	incorporating	incorporate	VERB
ajst-18569	74	2	the	the	DET
ajst-18569	74	3	eca	eca	NOUN
ajst-18569	74	4	attention	attention	NOUN
ajst-18569	74	5	mechanism	mechanism	NOUN
ajst-18569	74	6	to	to	PART
ajst-18569	74	7	consider	consider	VERB
ajst-18569	74	8	global	global	ADJ
ajst-18569	74	9	context	context	NOUN
ajst-18569	74	10	information	information	NOUN
ajst-18569	74	11	made	make	VERB
ajst-18569	74	12	the	the	DET
ajst-18569	74	13	network	network	NOUN
ajst-18569	74	14	structure	structure	NOUN
ajst-18569	74	15	more	more	ADV
ajst-18569	74	16	complex	complex	ADJ
ajst-18569	74	17	,	,	PUNCT
ajst-18569	74	18	resulting	result	VERB
ajst-18569	74	19	in	in	ADP
ajst-18569	74	20	a	a	DET
ajst-18569	74	21	fps	fps	NOUN
ajst-18569	74	22	drop	drop	NOUN
ajst-18569	74	23	of	of	ADP
ajst-18569	74	24	6.59	6.59	NUM
ajst-18569	74	25	,	,	PUNCT
ajst-18569	74	26	but	but	CCONJ
ajst-18569	74	27	the	the	DET
ajst-18569	74	28	model	model	NOUN
ajst-18569	74	29	showed	show	VERB
ajst-18569	74	30	enhancements	enhancement	NOUN
ajst-18569	74	31	in	in	ADP
ajst-18569	74	32	p	p	X
ajst-18569	74	33	,	,	PUNCT
ajst-18569	74	34	r	r	NOUN
ajst-18569	74	35	,	,	PUNCT
ajst-18569	74	36	map	map	NOUN
ajst-18569	74	37	by	by	ADP
ajst-18569	74	38	1.36	1.36	NUM
ajst-18569	74	39	%	%	NOUN
ajst-18569	74	40	,	,	PUNCT
ajst-18569	74	41	1.09	1.09	NUM
ajst-18569	74	42	%	%	NOUN
ajst-18569	74	43	,	,	PUNCT
ajst-18569	74	44	1.06	1.06	NUM
ajst-18569	74	45	%	%	NOUN
ajst-18569	74	46	,	,	PUNCT
ajst-18569	74	47	respectively	respectively	ADV
ajst-18569	74	48	.	.	PUNCT
ajst-18569	75	1	adopting	adopt	VERB
ajst-18569	75	2	an	an	DET
ajst-18569	75	3	improved	improved	ADJ
ajst-18569	75	4	form	form	NOUN
ajst-18569	75	5	of	of	ADP
ajst-18569	75	6	loss	loss	NOUN
ajst-18569	75	7	function	function	NOUN
ajst-18569	75	8	by	by	ADP
ajst-18569	75	9	combining	combine	VERB
ajst-18569	75	10	nwd	nwd	NOUN
ajst-18569	75	11	with	with	ADP
ajst-18569	75	12	wiou	wiou	NOUN
ajst-18569	75	13	enhanced	enhance	VERB
ajst-18569	75	14	the	the	DET
ajst-18569	75	15	detection	detection	NOUN
ajst-18569	75	16	capability	capability	NOUN
ajst-18569	75	17	of	of	ADP
ajst-18569	75	18	small	small	ADJ
ajst-18569	75	19	targets	target	NOUN
ajst-18569	75	20	,	,	PUNCT
ajst-18569	75	21	while	while	SCONJ
ajst-18569	75	22	also	also	ADV
ajst-18569	75	23	increasing	increase	VERB
ajst-18569	75	24	network	network	NOUN
ajst-18569	75	25	computational	computational	ADJ
ajst-18569	75	26	load	load	NOUN
ajst-18569	75	27	,	,	PUNCT
ajst-18569	75	28	leading	lead	VERB
ajst-18569	75	29	to	to	ADP
ajst-18569	75	30	a	a	DET
ajst-18569	75	31	fps	fps	NOUN
ajst-18569	75	32	decrease	decrease	NOUN
ajst-18569	75	33	of	of	ADP
ajst-18569	75	34	12.63	12.63	NUM
ajst-18569	75	35	.	.	PUNCT
ajst-18569	76	1	however	however	ADV
ajst-18569	76	2	,	,	PUNCT
ajst-18569	76	3	the	the	DET
ajst-18569	76	4	model	model	NOUN
ajst-18569	76	5	showed	show	VERB
ajst-18569	76	6	improvements	improvement	NOUN
ajst-18569	76	7	in	in	ADP
ajst-18569	76	8	p	p	X
ajst-18569	76	9	,	,	PUNCT
ajst-18569	76	10	r	r	NOUN
ajst-18569	76	11	,	,	PUNCT
ajst-18569	76	12	map	map	NOUN
ajst-18569	76	13	by	by	ADP
ajst-18569	76	14	2.11	2.11	NUM
ajst-18569	76	15	%	%	NOUN
ajst-18569	76	16	,	,	PUNCT
ajst-18569	76	17	1.75	1.75	NUM
ajst-18569	76	18	%	%	NOUN
ajst-18569	76	19	,	,	PUNCT
ajst-18569	76	20	2.53	2.53	NUM
ajst-18569	76	21	%	%	NOUN
ajst-18569	76	22	,	,	PUNCT
ajst-18569	76	23	respectively	respectively	ADV
ajst-18569	76	24	.	.	PUNCT
ajst-18569	77	1	in	in	ADP
ajst-18569	77	2	summary	summary	NOUN
ajst-18569	77	3	,	,	PUNCT
ajst-18569	77	4	the	the	DET
ajst-18569	77	5	three	three	NUM
ajst-18569	77	6	improvements	improvement	NOUN
ajst-18569	77	7	in	in	ADP
ajst-18569	77	8	the	the	DET
ajst-18569	77	9	algorithm	algorithm	NOUN
ajst-18569	77	10	each	each	PRON
ajst-18569	77	11	contributed	contribute	VERB
ajst-18569	77	12	to	to	ADP
ajst-18569	77	13	enhancing	enhance	VERB
ajst-18569	77	14	the	the	DET
ajst-18569	77	15	model	model	NOUN
ajst-18569	77	16	's	's	PART
ajst-18569	77	17	performance	performance	NOUN
ajst-18569	77	18	,	,	PUNCT
ajst-18569	77	19	demonstrating	demonstrate	VERB
ajst-18569	77	20	the	the	DET
ajst-18569	77	21	effectiveness	effectiveness	NOUN
ajst-18569	77	22	of	of	ADP
ajst-18569	77	23	the	the	DET
ajst-18569	77	24	enhancement	enhancement	NOUN
ajst-18569	77	25	strategies	strategy	NOUN
ajst-18569	77	26	.	.	PUNCT
ajst-18569	78	1	combining	combine	VERB
ajst-18569	78	2	the	the	DET
ajst-18569	78	3	three	three	NUM
ajst-18569	78	4	improvements	improvement	NOUN
ajst-18569	78	5	is	be	AUX
ajst-18569	78	6	beneficial	beneficial	ADJ
ajst-18569	78	7	for	for	ADP
ajst-18569	78	8	enhancing	enhance	VERB
ajst-18569	78	9	the	the	DET
ajst-18569	78	10	overall	overall	ADJ
ajst-18569	78	11	performance	performance	NOUN
ajst-18569	78	12	of	of	ADP
ajst-18569	78	13	the	the	DET
ajst-18569	78	14	model	model	NOUN
ajst-18569	78	15	.	.	PUNCT
ajst-18569	79	1	compared	compare	VERB
ajst-18569	79	2	to	to	ADP
ajst-18569	79	3	the	the	DET
ajst-18569	79	4	original	original	ADJ
ajst-18569	79	5	yolov5s	yolov5s	PROPN
ajst-18569	79	6	model	model	NOUN
ajst-18569	79	7	,	,	PUNCT
ajst-18569	79	8	the	the	DET
ajst-18569	79	9	improved	improved	ADJ
ajst-18569	79	10	model	model	NOUN
ajst-18569	79	11	in	in	ADP
ajst-18569	79	12	this	this	DET
ajst-18569	79	13	study	study	NOUN
ajst-18569	79	14	showed	show	VERB
ajst-18569	79	15	an	an	DET
ajst-18569	79	16	overall	overall	ADJ
ajst-18569	79	17	increase	increase	NOUN
ajst-18569	79	18	of	of	ADP
ajst-18569	79	19	5.21	5.21	NUM
ajst-18569	79	20	%	%	NOUN
ajst-18569	79	21	in	in	ADP
ajst-18569	79	22	p	p	NOUN
ajst-18569	79	23	,	,	PUNCT
ajst-18569	79	24	4.71	4.71	NUM
ajst-18569	79	25	%	%	NOUN
ajst-18569	79	26	in	in	ADP
ajst-18569	79	27	r	r	NOUN
ajst-18569	79	28	,	,	PUNCT
ajst-18569	79	29	and	and	CCONJ
ajst-18569	79	30	6.24	6.24	NUM
ajst-18569	79	31	%	%	NOUN
ajst-18569	79	32	in	in	ADP
ajst-18569	79	33	map	map	NOUN
ajst-18569	79	34	,	,	PUNCT
ajst-18569	79	35	with	with	ADP
ajst-18569	79	36	an	an	DET
ajst-18569	79	37	achievable	achievable	ADJ
ajst-18569	79	38	fps	fps	NOUN
ajst-18569	79	39	of	of	ADP
ajst-18569	79	40	131.57	131.57	NUM
ajst-18569	79	41	,	,	PUNCT
ajst-18569	79	42	fully	fully	ADV
ajst-18569	79	43	meeting	meet	VERB
ajst-18569	79	44	the	the	DET
ajst-18569	79	45	real	real	ADJ
ajst-18569	79	46	-	-	PUNCT
ajst-18569	79	47	time	time	NOUN
ajst-18569	79	48	monitoring	monitoring	NOUN
ajst-18569	79	49	requirements	requirement	NOUN
ajst-18569	79	50	of	of	ADP
ajst-18569	79	51	power	power	NOUN
ajst-18569	79	52	transmission	transmission	NOUN
ajst-18569	79	53	lines	line	NOUN
ajst-18569	79	54	.	.	PUNCT
ajst-18569	80	1	4.1.2	4.1.2	X
ajst-18569	80	2	.	.	PUNCT
ajst-18569	80	3	comparative	comparative	ADJ
ajst-18569	80	4	experiment	experiment	NOUN
ajst-18569	80	5	of	of	ADP
ajst-18569	80	6	loss	loss	NOUN
ajst-18569	80	7	function	function	NOUN
ajst-18569	80	8	in	in	ADP
ajst-18569	80	9	the	the	DET
ajst-18569	80	10	model	model	NOUN
ajst-18569	80	11	training	training	NOUN
ajst-18569	80	12	configuration	configuration	NOUN
ajst-18569	80	13	,	,	PUNCT
ajst-18569	80	14	the	the	DET
ajst-18569	80	15	learning	learning	NOUN
ajst-18569	80	16	rate	rate	NOUN
ajst-18569	80	17	is	be	AUX
ajst-18569	80	18	set	set	VERB
ajst-18569	80	19	to	to	ADP
ajst-18569	80	20	0.01	0.01	NUM
ajst-18569	80	21	,	,	PUNCT
ajst-18569	80	22	weight	weight	NOUN
ajst-18569	80	23	decay	decay	NOUN
ajst-18569	80	24	rate	rate	NOUN
ajst-18569	80	25	is	be	AUX
ajst-18569	80	26	0.0005	0.0005	NUM
ajst-18569	80	27	,	,	PUNCT
ajst-18569	80	28	using	use	VERB
ajst-18569	80	29	the	the	DET
ajst-18569	80	30	stochastic	stochastic	ADJ
ajst-18569	80	31	gradient	gradient	ADJ
ajst-18569	80	32	descent	descent	NOUN
ajst-18569	80	33	optimizer	optimizer	NOUN
ajst-18569	80	34	,	,	PUNCT
ajst-18569	80	35	sgd=0.9	sgd=0.9	NOUN
ajst-18569	80	36	,	,	PUNCT
ajst-18569	80	37	training	training	NOUN
ajst-18569	80	38	for	for	ADP
ajst-18569	80	39	200	200	NUM
ajst-18569	80	40	epochs	epoch	NOUN
ajst-18569	80	41	with	with	ADP
ajst-18569	80	42	a	a	DET
ajst-18569	80	43	batch	batch	NOUN
ajst-18569	80	44	size	size	NOUN
ajst-18569	80	45	of	of	ADP
ajst-18569	80	46	32	32	NUM
ajst-18569	80	47	.	.	PUNCT
ajst-18569	81	1	training	training	NOUN
ajst-18569	81	2	was	be	AUX
ajst-18569	81	3	completed	complete	VERB
ajst-18569	81	4	on	on	ADP
ajst-18569	81	5	the	the	DET
ajst-18569	81	6	same	same	ADJ
ajst-18569	81	7	yolov5s	yolov5s	PROPN
ajst-18569	81	8	model	model	NOUN
ajst-18569	81	9	with	with	ADP
ajst-18569	81	10	different	different	ADJ
ajst-18569	81	11	loss	loss	NOUN
ajst-18569	81	12	functions	function	NOUN
ajst-18569	81	13	,	,	PUNCT
ajst-18569	81	14	and	and	CCONJ
ajst-18569	81	15	the	the	DET
ajst-18569	81	16	comparison	comparison	NOUN
ajst-18569	81	17	loss	loss	NOUN
ajst-18569	81	18	curve	curve	NOUN
ajst-18569	81	19	is	be	AUX
ajst-18569	81	20	shown	show	VERB
ajst-18569	81	21	in	in	ADP
ajst-18569	81	22	figure	figure	NOUN
ajst-18569	81	23	6	6	NUM
ajst-18569	81	24	.	.	SYM
ajst-18569	81	25	192	192	NUM
ajst-18569	81	26	figure	figure	NOUN
ajst-18569	81	27	6	6	NUM
ajst-18569	81	28	.	.	PUNCT
ajst-18569	82	1	comparison	comparison	NOUN
ajst-18569	82	2	of	of	ADP
ajst-18569	82	3	different	different	ADJ
ajst-18569	82	4	loss	loss	NOUN
ajst-18569	82	5	function	function	NOUN
ajst-18569	82	6	curves	curve	NOUN
ajst-18569	82	7	by	by	ADP
ajst-18569	82	8	observing	observe	VERB
ajst-18569	82	9	the	the	DET
ajst-18569	82	10	downward	downward	ADJ
ajst-18569	82	11	trend	trend	NOUN
ajst-18569	82	12	in	in	ADP
ajst-18569	82	13	figure	figure	NOUN
ajst-18569	82	14	7	7	NUM
ajst-18569	82	15	,	,	PUNCT
ajst-18569	82	16	it	it	PRON
ajst-18569	82	17	can	can	AUX
ajst-18569	82	18	be	be	AUX
ajst-18569	82	19	seen	see	VERB
ajst-18569	82	20	that	that	SCONJ
ajst-18569	82	21	the	the	DET
ajst-18569	82	22	model	model	NOUN
ajst-18569	82	23	training	training	NOUN
ajst-18569	82	24	starts	start	VERB
ajst-18569	82	25	to	to	PART
ajst-18569	82	26	converge	converge	VERB
ajst-18569	82	27	around	around	ADP
ajst-18569	82	28	the	the	DET
ajst-18569	82	29	20th	20th	ADJ
ajst-18569	82	30	epoch	epoch	NOUN
ajst-18569	82	31	.	.	PUNCT
ajst-18569	83	1	different	different	ADJ
ajst-18569	83	2	loss	loss	NOUN
ajst-18569	83	3	functions	function	NOUN
ajst-18569	83	4	have	have	VERB
ajst-18569	83	5	varying	vary	VERB
ajst-18569	83	6	convergence	convergence	NOUN
ajst-18569	83	7	speeds	speed	NOUN
ajst-18569	83	8	,	,	PUNCT
ajst-18569	83	9	with	with	SCONJ
ajst-18569	83	10	the	the	DET
ajst-18569	83	11	model	model	NOUN
ajst-18569	83	12	already	already	ADV
ajst-18569	83	13	converged	converge	VERB
ajst-18569	83	14	after	after	ADP
ajst-18569	83	15	80	80	NUM
ajst-18569	83	16	rounds	round	NOUN
ajst-18569	83	17	of	of	ADP
ajst-18569	83	18	training	training	NOUN
ajst-18569	83	19	,	,	PUNCT
ajst-18569	83	20	using	use	VERB
ajst-18569	83	21	the	the	DET
ajst-18569	83	22	loss	loss	NOUN
ajst-18569	83	23	value	value	NOUN
ajst-18569	83	24	at	at	ADP
ajst-18569	83	25	the	the	DET
ajst-18569	83	26	100th	100th	ADJ
ajst-18569	83	27	round	round	NOUN
ajst-18569	83	28	as	as	ADP
ajst-18569	83	29	the	the	DET
ajst-18569	83	30	evaluation	evaluation	NOUN
ajst-18569	83	31	criterion	criterion	NOUN
ajst-18569	83	32	.	.	PUNCT
ajst-18569	84	1	when	when	SCONJ
ajst-18569	84	2	the	the	DET
ajst-18569	84	3	nwd+wiou	nwd+wiou	NOUN
ajst-18569	84	4	mixed	mixed	ADJ
ajst-18569	84	5	loss	loss	NOUN
ajst-18569	84	6	function	function	NOUN
ajst-18569	84	7	replaces	replace	VERB
ajst-18569	84	8	the	the	DET
ajst-18569	84	9	bounding	bounding	NOUN
ajst-18569	84	10	box	box	NOUN
ajst-18569	84	11	loss	loss	NOUN
ajst-18569	84	12	function	function	NOUN
ajst-18569	84	13	,	,	PUNCT
ajst-18569	84	14	the	the	DET
ajst-18569	84	15	model	model	NOUN
ajst-18569	84	16	's	's	PART
ajst-18569	84	17	loss	loss	NOUN
ajst-18569	84	18	is	be	AUX
ajst-18569	84	19	smaller	small	ADJ
ajst-18569	84	20	,	,	PUNCT
ajst-18569	84	21	and	and	CCONJ
ajst-18569	84	22	the	the	DET
ajst-18569	84	23	network	network	NOUN
ajst-18569	84	24	converges	converge	VERB
ajst-18569	84	25	faster	fast	ADV
ajst-18569	84	26	.	.	PUNCT
ajst-18569	85	1	from	from	ADP
ajst-18569	85	2	table	table	NOUN
ajst-18569	85	3	3	3	NUM
ajst-18569	85	4	,	,	PUNCT
ajst-18569	85	5	it	it	PRON
ajst-18569	85	6	can	can	AUX
ajst-18569	85	7	be	be	AUX
ajst-18569	85	8	seen	see	VERB
ajst-18569	85	9	that	that	SCONJ
ajst-18569	85	10	when	when	SCONJ
ajst-18569	85	11	the	the	DET
ajst-18569	85	12	model	model	NOUN
ajst-18569	85	13	is	be	AUX
ajst-18569	85	14	trained	train	VERB
ajst-18569	85	15	using	use	VERB
ajst-18569	85	16	the	the	DET
ajst-18569	85	17	mixed	mixed	ADJ
ajst-18569	85	18	loss	loss	NOUN
ajst-18569	85	19	function	function	NOUN
ajst-18569	85	20	,	,	PUNCT
ajst-18569	85	21	the	the	DET
ajst-18569	85	22	loss	loss	NOUN
ajst-18569	85	23	value	value	NOUN
ajst-18569	85	24	is	be	AUX
ajst-18569	85	25	only	only	ADV
ajst-18569	85	26	0.01381	0.01381	NUM
ajst-18569	85	27	,	,	PUNCT
ajst-18569	85	28	which	which	PRON
ajst-18569	85	29	is	be	AUX
ajst-18569	85	30	0.00422	0.00422	NUM
ajst-18569	85	31	lower	low	ADJ
ajst-18569	85	32	than	than	ADP
ajst-18569	85	33	the	the	DET
ajst-18569	85	34	original	original	ADJ
ajst-18569	85	35	yolov5s	yolov5s	PROPN
ajst-18569	85	36	model	model	NOUN
ajst-18569	85	37	using	use	VERB
ajst-18569	85	38	ciou	ciou	NOUN
ajst-18569	85	39	.	.	PUNCT
ajst-18569	86	1	furthermore	furthermore	ADV
ajst-18569	86	2	,	,	PUNCT
ajst-18569	86	3	by	by	ADP
ajst-18569	86	4	comparing	compare	VERB
ajst-18569	86	5	with	with	ADP
ajst-18569	86	6	several	several	ADJ
ajst-18569	86	7	other	other	ADJ
ajst-18569	86	8	common	common	ADJ
ajst-18569	86	9	loss	loss	NOUN
ajst-18569	86	10	functions	function	NOUN
ajst-18569	86	11	,	,	PUNCT
ajst-18569	86	12	it	it	PRON
ajst-18569	86	13	has	have	AUX
ajst-18569	86	14	been	be	AUX
ajst-18569	86	15	proven	prove	VERB
ajst-18569	86	16	that	that	SCONJ
ajst-18569	86	17	the	the	DET
ajst-18569	86	18	improved	improved	ADJ
ajst-18569	86	19	mixed	mixed	ADJ
ajst-18569	86	20	loss	loss	NOUN
ajst-18569	86	21	function	function	NOUN
ajst-18569	86	22	enhances	enhance	VERB
ajst-18569	86	23	the	the	DET
ajst-18569	86	24	detection	detection	NOUN
ajst-18569	86	25	model	model	NOUN
ajst-18569	86	26	's	's	PART
ajst-18569	86	27	performance	performance	NOUN
ajst-18569	86	28	.	.	PUNCT
ajst-18569	86	29	table	table	NOUN
ajst-18569	86	30	2	2	NUM
ajst-18569	86	31	.	.	PUNCT
ajst-18569	86	32	comparison	comparison	NOUN
ajst-18569	86	33	of	of	ADP
ajst-18569	86	34	different	different	ADJ
ajst-18569	86	35	loss	loss	NOUN
ajst-18569	86	36	functions	function	NOUN
ajst-18569	86	37	loss	loss	NOUN
ajst-18569	86	38	fuction	fuction	NOUN
ajst-18569	86	39	value	value	NOUN
ajst-18569	86	40	map/%	map/%	PROPN
ajst-18569	86	41	nwd+wiou	nwd+wiou	NOUN
ajst-18569	86	42	diou	diou	NOUN
ajst-18569	86	43	loss	loss	NOUN
ajst-18569	86	44	giou	giou	NOUN
ajst-18569	86	45	loss	loss	NOUN
ajst-18569	86	46	eiou	eiou	NOUN
ajst-18569	86	47	loss	loss	NOUN
ajst-18569	86	48	ciou	ciou	NOUN
ajst-18569	86	49	loss	loss	VERB
ajst-18569	86	50	0.01381	0.01381	NUM
ajst-18569	86	51	0.01702	0.01702	NUM
ajst-18569	86	52	0.01698	0.01698	NUM
ajst-18569	86	53	0.01557	0.01557	NUM
ajst-18569	86	54	0.01803	0.01803	NUM
ajst-18569	86	55	87.69	87.69	NUM
ajst-18569	86	56	86.01	86.01	NUM
ajst-18569	86	57	85.96	85.96	NUM
ajst-18569	86	58	86.17	86.17	NUM
ajst-18569	86	59	85.35	85.35	NUM
ajst-18569	86	60	4.1.3	4.1.3	NUM
ajst-18569	86	61	.	.	PUNCT
ajst-18569	87	1	algorithm	algorithm	PROPN
ajst-18569	87	2	experimental	experimental	ADJ
ajst-18569	87	3	comparison	comparison	NOUN
ajst-18569	87	4	to	to	PART
ajst-18569	87	5	further	far	ADV
ajst-18569	87	6	validate	validate	VERB
ajst-18569	87	7	the	the	DET
ajst-18569	87	8	advantages	advantage	NOUN
ajst-18569	87	9	of	of	ADP
ajst-18569	87	10	the	the	DET
ajst-18569	87	11	improved	improved	ADJ
ajst-18569	87	12	algorithm	algorithm	NOUN
ajst-18569	87	13	,	,	PUNCT
ajst-18569	87	14	several	several	ADJ
ajst-18569	87	15	commonly	commonly	ADV
ajst-18569	87	16	used	use	VERB
ajst-18569	87	17	object	object	NOUN
ajst-18569	87	18	detection	detection	NOUN
ajst-18569	87	19	algorithms	algorithm	NOUN
ajst-18569	87	20	were	be	AUX
ajst-18569	87	21	trained	train	VERB
ajst-18569	87	22	and	and	CCONJ
ajst-18569	87	23	tested	test	VERB
ajst-18569	87	24	on	on	ADP
ajst-18569	87	25	the	the	DET
ajst-18569	87	26	same	same	ADJ
ajst-18569	87	27	dataset	dataset	NOUN
ajst-18569	87	28	.	.	PUNCT
ajst-18569	88	1	comparative	comparative	ADJ
ajst-18569	88	2	experiments	experiment	NOUN
ajst-18569	88	3	were	be	AUX
ajst-18569	88	4	conducted	conduct	VERB
ajst-18569	88	5	with	with	ADP
ajst-18569	88	6	the	the	DET
ajst-18569	88	7	algorithm	algorithm	NOUN
ajst-18569	88	8	in	in	ADP
ajst-18569	88	9	this	this	DET
ajst-18569	88	10	paper	paper	NOUN
ajst-18569	88	11	,	,	PUNCT
ajst-18569	88	12	and	and	CCONJ
ajst-18569	88	13	the	the	DET
ajst-18569	88	14	experimental	experimental	ADJ
ajst-18569	88	15	results	result	NOUN
ajst-18569	88	16	are	be	AUX
ajst-18569	88	17	shown	show	VERB
ajst-18569	88	18	in	in	ADP
ajst-18569	88	19	table	table	NOUN
ajst-18569	88	20	3	3	NUM
ajst-18569	88	21	.	.	PUNCT
ajst-18569	88	22	table	table	NOUN
ajst-18569	88	23	3	3	NUM
ajst-18569	88	24	.	.	PUNCT
ajst-18569	89	1	comparison	comparison	NOUN
ajst-18569	89	2	of	of	ADP
ajst-18569	89	3	different	different	ADJ
ajst-18569	89	4	algorithm	algorithm	NOUN
ajst-18569	89	5	models	model	NOUN
ajst-18569	89	6	model	model	PROPN
ajst-18569	89	7	param	param	PROPN
ajst-18569	89	8	/	/	SYM
ajst-18569	89	9	m	m	PROPN
ajst-18569	89	10	map/%	map/%	PROPN
ajst-18569	89	11	fps	fps	PROPN
ajst-18569	89	12	yolov4	yolov4	PROPN
ajst-18569	89	13	-	-	PUNCT
ajst-18569	89	14	tiny	tiny	ADJ
ajst-18569	89	15	ssd	ssd	NOUN
ajst-18569	89	16	faster	fast	ADV
ajst-18569	89	17	r	r	NOUN
ajst-18569	89	18	-	-	PUNCT
ajst-18569	89	19	cnn	cnn	ADJ
ajst-18569	89	20	yolov5s	yolov5s	NOUN
ajst-18569	89	21	yolov8s	yolov8	NOUN
ajst-18569	89	22	ours	ours	PRON
ajst-18569	89	23	9.8	9.8	NUM
ajst-18569	89	24	102.6	102.6	NUM
ajst-18569	89	25	108.8	108.8	NUM
ajst-18569	89	26	13.7	13.7	NUM
ajst-18569	89	27	21.85	21.85	NUM
ajst-18569	89	28	14.5	14.5	NUM
ajst-18569	89	29	76.15	76.15	NUM
ajst-18569	89	30	70.36	70.36	NUM
ajst-18569	89	31	87.34	87.34	NUM
ajst-18569	89	32	85.19	85.19	NUM
ajst-18569	89	33	89.86	89.86	NUM
ajst-18569	89	34	91.43	91.43	NUM
ajst-18569	89	35	122.32	122.32	NUM
ajst-18569	89	36	23.81	23.81	NUM
ajst-18569	89	37	18.86	18.86	NUM
ajst-18569	89	38	151.51	151.51	NUM
ajst-18569	89	39	163.36	163.36	NUM
ajst-18569	89	40	131.57	131.57	NUM
ajst-18569	89	41	from	from	ADP
ajst-18569	89	42	table	table	NOUN
ajst-18569	89	43	3	3	NUM
ajst-18569	89	44	,	,	PUNCT
ajst-18569	89	45	it	it	PRON
ajst-18569	89	46	can	can	AUX
ajst-18569	89	47	be	be	AUX
ajst-18569	89	48	seen	see	VERB
ajst-18569	89	49	that	that	SCONJ
ajst-18569	89	50	the	the	DET
ajst-18569	89	51	map	map	NOUN
ajst-18569	89	52	of	of	ADP
ajst-18569	89	53	the	the	DET
ajst-18569	89	54	improved	improved	ADJ
ajst-18569	89	55	algorithm	algorithm	NOUN
ajst-18569	89	56	reaches	reach	VERB
ajst-18569	89	57	91.43	91.43	NUM
ajst-18569	89	58	%	%	NOUN
ajst-18569	89	59	,	,	PUNCT
ajst-18569	89	60	which	which	PRON
ajst-18569	89	61	is	be	AUX
ajst-18569	89	62	15.28	15.28	NUM
ajst-18569	89	63	%	%	NOUN
ajst-18569	89	64	higher	high	ADJ
ajst-18569	89	65	than	than	ADP
ajst-18569	89	66	yolov4	yolov4	PROPN
ajst-18569	89	67	,	,	PUNCT
ajst-18569	89	68	21.07	21.07	NUM
ajst-18569	89	69	%	%	NOUN
ajst-18569	89	70	higher	high	ADJ
ajst-18569	89	71	than	than	ADP
ajst-18569	89	72	ssd	ssd	NOUN
ajst-18569	89	73	,	,	PUNCT
ajst-18569	89	74	4.09	4.09	NUM
ajst-18569	89	75	%	%	NOUN
ajst-18569	89	76	higher	high	ADJ
ajst-18569	89	77	than	than	ADP
ajst-18569	89	78	faster	fast	ADJ
ajst-18569	89	79	r	r	NOUN
ajst-18569	89	80	-	-	PUNCT
ajst-18569	89	81	cnn	cnn	PROPN
ajst-18569	89	82	,	,	PUNCT
ajst-18569	89	83	6.24	6.24	NUM
ajst-18569	89	84	%	%	NOUN
ajst-18569	89	85	higher	high	ADJ
ajst-18569	89	86	than	than	ADP
ajst-18569	89	87	the	the	DET
ajst-18569	89	88	original	original	ADJ
ajst-18569	89	89	yolov5s	yolov5s	PROPN
ajst-18569	89	90	model	model	NOUN
ajst-18569	89	91	,	,	PUNCT
ajst-18569	89	92	and	and	CCONJ
ajst-18569	89	93	1.81	1.81	NUM
ajst-18569	89	94	%	%	NOUN
ajst-18569	89	95	higher	high	ADJ
ajst-18569	89	96	than	than	ADP
ajst-18569	89	97	the	the	DET
ajst-18569	89	98	yolov8s	yolov8	NOUN
ajst-18569	89	99	model	model	NOUN
ajst-18569	89	100	,	,	PUNCT
ajst-18569	89	101	thereby	thereby	ADV
ajst-18569	89	102	confirming	confirm	VERB
ajst-18569	89	103	the	the	DET
ajst-18569	89	104	effectiveness	effectiveness	NOUN
ajst-18569	89	105	of	of	ADP
ajst-18569	89	106	this	this	DET
ajst-18569	89	107	improved	improved	ADJ
ajst-18569	89	108	algorithm	algorithm	NOUN
ajst-18569	89	109	.	.	PUNCT
ajst-18569	90	1	the	the	DET
ajst-18569	90	2	yolov4tiny	yolov4tiny	PROPN
ajst-18569	90	3	model	model	NOUN
ajst-18569	90	4	has	have	VERB
ajst-18569	90	5	the	the	DET
ajst-18569	90	6	smallest	small	ADJ
ajst-18569	90	7	number	number	NOUN
ajst-18569	90	8	of	of	ADP
ajst-18569	90	9	model	model	NOUN
ajst-18569	90	10	parameters	parameter	NOUN
ajst-18569	90	11	but	but	CCONJ
ajst-18569	90	12	performs	perform	VERB
ajst-18569	90	13	poorly	poorly	ADV
ajst-18569	90	14	in	in	ADP
ajst-18569	90	15	detection	detection	NOUN
ajst-18569	90	16	.	.	PUNCT
ajst-18569	91	1	faster	fast	ADV
ajst-18569	91	2	r	r	NOUN
ajst-18569	91	3	-	-	PUNCT
ajst-18569	91	4	cnn	cnn	PROPN
ajst-18569	91	5	has	have	VERB
ajst-18569	91	6	high	high	ADJ
ajst-18569	91	7	detection	detection	NOUN
ajst-18569	91	8	accuracy	accuracy	NOUN
ajst-18569	91	9	but	but	CCONJ
ajst-18569	91	10	a	a	DET
ajst-18569	91	11	large	large	ADJ
ajst-18569	91	12	number	number	NOUN
ajst-18569	91	13	of	of	ADP
ajst-18569	91	14	parameters	parameter	NOUN
ajst-18569	91	15	,	,	PUNCT
ajst-18569	91	16	leading	lead	VERB
ajst-18569	91	17	to	to	ADP
ajst-18569	91	18	poor	poor	ADJ
ajst-18569	91	19	real	real	ADJ
ajst-18569	91	20	-	-	PUNCT
ajst-18569	91	21	time	time	NOUN
ajst-18569	91	22	performance	performance	NOUN
ajst-18569	91	23	.	.	PUNCT
ajst-18569	92	1	the	the	DET
ajst-18569	92	2	improved	improved	ADJ
ajst-18569	92	3	yolov5s	yolov5s	PROPN
ajst-18569	92	4	model	model	NOUN
ajst-18569	92	5	is	be	AUX
ajst-18569	92	6	only	only	ADV
ajst-18569	92	7	slightly	slightly	ADV
ajst-18569	92	8	larger	large	ADJ
ajst-18569	92	9	than	than	ADP
ajst-18569	92	10	the	the	DET
ajst-18569	92	11	original	original	ADJ
ajst-18569	92	12	yolov5s	yolov5s	NOUN
ajst-18569	92	13	by	by	ADP
ajst-18569	92	14	0.8	0.8	NUM
ajst-18569	92	15	m	m	NOUN
ajst-18569	92	16	,	,	PUNCT
ajst-18569	92	17	but	but	CCONJ
ajst-18569	92	18	shows	show	VERB
ajst-18569	92	19	a	a	DET
ajst-18569	92	20	significant	significant	ADJ
ajst-18569	92	21	improvement	improvement	NOUN
ajst-18569	92	22	in	in	ADP
ajst-18569	92	23	accuracy	accuracy	NOUN
ajst-18569	92	24	.	.	PUNCT
ajst-18569	93	1	compared	compare	VERB
ajst-18569	93	2	to	to	ADP
ajst-18569	93	3	the	the	DET
ajst-18569	93	4	latest	late	ADJ
ajst-18569	93	5	yolov8s	yolov8	NOUN
ajst-18569	93	6	model	model	NOUN
ajst-18569	93	7	,	,	PUNCT
ajst-18569	93	8	it	it	PRON
ajst-18569	93	9	maintains	maintain	VERB
ajst-18569	93	10	higher	high	ADJ
ajst-18569	93	11	detection	detection	NOUN
ajst-18569	93	12	accuracy	accuracy	NOUN
ajst-18569	93	13	with	with	ADP
ajst-18569	93	14	lower	low	ADJ
ajst-18569	93	15	parameter	parameter	NOUN
ajst-18569	93	16	count	count	NOUN
ajst-18569	93	17	.	.	PUNCT
ajst-18569	94	1	in	in	ADP
ajst-18569	94	2	terms	term	NOUN
ajst-18569	94	3	of	of	ADP
ajst-18569	94	4	real	real	ADJ
ajst-18569	94	5	-	-	PUNCT
ajst-18569	94	6	time	time	NOUN
ajst-18569	94	7	detection	detection	NOUN
ajst-18569	94	8	performance	performance	NOUN
ajst-18569	94	9	,	,	PUNCT
ajst-18569	94	10	the	the	DET
ajst-18569	94	11	fps	fps	NOUN
ajst-18569	94	12	is	be	AUX
ajst-18569	94	13	only	only	ADV
ajst-18569	94	14	19.96	19.96	NUM
ajst-18569	94	15	lower	low	ADJ
ajst-18569	94	16	than	than	ADP
ajst-18569	94	17	the	the	DET
ajst-18569	94	18	original	original	ADJ
ajst-18569	94	19	yolov5s	yolov5s	NOUN
ajst-18569	94	20	and	and	CCONJ
ajst-18569	94	21	31.79	31.79	NUM
ajst-18569	94	22	lower	low	ADJ
ajst-18569	94	23	than	than	ADP
ajst-18569	94	24	yolov8s	yolov8	NOUN
ajst-18569	94	25	,	,	PUNCT
ajst-18569	94	26	but	but	CCONJ
ajst-18569	94	27	it	it	PRON
ajst-18569	94	28	outperforms	outperform	VERB
ajst-18569	94	29	yolov4	yolov4	NOUN
ajst-18569	94	30	-	-	PUNCT
ajst-18569	94	31	tiny	tiny	ADJ
ajst-18569	94	32	,	,	PUNCT
ajst-18569	94	33	ssd	ssd	NOUN
ajst-18569	94	34	,	,	PUNCT
ajst-18569	94	35	and	and	CCONJ
ajst-18569	94	36	faster	fast	ADJ
ajst-18569	94	37	r	r	NOUN
ajst-18569	94	38	-	-	PUNCT
ajst-18569	94	39	cnn	cnn	NOUN
ajst-18569	94	40	by	by	ADP
ajst-18569	94	41	9.52	9.52	NUM
ajst-18569	94	42	,	,	PUNCT
ajst-18569	94	43	107.76	107.76	NUM
ajst-18569	94	44	,	,	PUNCT
ajst-18569	94	45	and	and	CCONJ
ajst-18569	94	46	112.71	112.71	NUM
ajst-18569	94	47	,	,	PUNCT
ajst-18569	94	48	respectively	respectively	ADV
ajst-18569	94	49	.	.	PUNCT
ajst-18569	95	1	figure	figure	NOUN
ajst-18569	95	2	7	7	NUM
ajst-18569	95	3	.	.	PUNCT
ajst-18569	95	4	model	model	NOUN
ajst-18569	95	5	detection	detection	NOUN
ajst-18569	95	6	effect	effect	NOUN
ajst-18569	95	7	diagram	diagram	NOUN
ajst-18569	95	8	5	5	NUM
ajst-18569	95	9	.	.	PUNCT
ajst-18569	96	1	conclusion	conclusion	NOUN
ajst-18569	96	2	this	this	DET
ajst-18569	96	3	text	text	NOUN
ajst-18569	96	4	mainly	mainly	ADV
ajst-18569	96	5	addresses	address	VERB
ajst-18569	96	6	the	the	DET
ajst-18569	96	7	shortcomings	shortcoming	NOUN
ajst-18569	96	8	of	of	ADP
ajst-18569	96	9	the	the	DET
ajst-18569	96	10	current	current	ADJ
ajst-18569	96	11	online	online	ADJ
ajst-18569	96	12	monitoring	monitoring	NOUN
ajst-18569	96	13	and	and	CCONJ
ajst-18569	96	14	protection	protection	NOUN
ajst-18569	96	15	system	system	NOUN
ajst-18569	96	16	for	for	ADP
ajst-18569	96	17	power	power	NOUN
ajst-18569	96	18	transmission	transmission	NOUN
ajst-18569	96	19	lines	line	NOUN
ajst-18569	96	20	,	,	PUNCT
ajst-18569	96	21	such	such	ADJ
ajst-18569	96	22	as	as	ADP
ajst-18569	96	23	poor	poor	ADJ
ajst-18569	96	24	real	real	ADJ
ajst-18569	96	25	-	-	PUNCT
ajst-18569	96	26	time	time	NOUN
ajst-18569	96	27	performance	performance	NOUN
ajst-18569	96	28	and	and	CCONJ
ajst-18569	96	29	low	low	ADJ
ajst-18569	96	30	precision	precision	NOUN
ajst-18569	96	31	in	in	ADP
ajst-18569	96	32	detecting	detect	VERB
ajst-18569	96	33	small	small	ADJ
ajst-18569	96	34	targets	target	NOUN
ajst-18569	96	35	.	.	PUNCT
ajst-18569	97	1	it	it	PRON
ajst-18569	97	2	proposes	propose	VERB
ajst-18569	97	3	an	an	DET
ajst-18569	97	4	improved	improved	ADJ
ajst-18569	97	5	yolov5s	yolov5s	PROPN
ajst-18569	97	6	algorithm	algorithm	NOUN
ajst-18569	97	7	to	to	PART
ajst-18569	97	8	enhance	enhance	VERB
ajst-18569	97	9	the	the	DET
ajst-18569	97	10	speed	speed	NOUN
ajst-18569	97	11	and	and	CCONJ
ajst-18569	97	12	accuracy	accuracy	NOUN
ajst-18569	97	13	of	of	ADP
ajst-18569	97	14	real	real	ADJ
ajst-18569	97	15	-	-	PUNCT
ajst-18569	97	16	time	time	NOUN
ajst-18569	97	17	monitoring	monitoring	NOUN
ajst-18569	97	18	of	of	ADP
ajst-18569	97	19	power	power	NOUN
ajst-18569	97	20	transmission	transmission	NOUN
ajst-18569	97	21	lines	line	NOUN
ajst-18569	97	22	:	:	PUNCT
ajst-18569	97	23	1	1	X
ajst-18569	97	24	)	)	PUNCT
ajst-18569	97	25	a	a	DET
ajst-18569	97	26	new	new	ADJ
ajst-18569	97	27	c3	c3	NOUN
ajst-18569	97	28	feature	feature	NOUN
ajst-18569	97	29	extraction	extraction	NOUN
ajst-18569	97	30	structure	structure	NOUN
ajst-18569	97	31	is	be	AUX
ajst-18569	97	32	proposed	propose	VERB
ajst-18569	97	33	,	,	PUNCT
ajst-18569	97	34	replacing	replace	VERB
ajst-18569	97	35	the	the	DET
ajst-18569	97	36	fixed	fix	VERB
ajst-18569	97	37	convolution	convolution	NOUN
ajst-18569	97	38	method	method	NOUN
ajst-18569	97	39	with	with	ADP
ajst-18569	97	40	a	a	DET
ajst-18569	97	41	deformable	deformable	ADJ
ajst-18569	97	42	convolution	convolution	NOUN
ajst-18569	97	43	network	network	NOUN
ajst-18569	97	44	and	and	CCONJ
ajst-18569	97	45	introducing	introduce	VERB
ajst-18569	97	46	an	an	DET
ajst-18569	97	47	attention	attention	NOUN
ajst-18569	97	48	mechanism	mechanism	NOUN
ajst-18569	97	49	.	.	PUNCT
ajst-18569	98	1	this	this	DET
ajst-18569	98	2	enhancement	enhancement	NOUN
ajst-18569	98	3	allows	allow	VERB
ajst-18569	98	4	the	the	DET
ajst-18569	98	5	improved	improved	ADJ
ajst-18569	98	6	c3	c3	NOUN
ajst-18569	98	7	module	module	NOUN
ajst-18569	98	8	to	to	PART
ajst-18569	98	9	increase	increase	VERB
ajst-18569	98	10	its	its	PRON
ajst-18569	98	11	random	random	ADJ
ajst-18569	98	12	sampling	sampling	NOUN
ajst-18569	98	13	capability	capability	NOUN
ajst-18569	98	14	,	,	PUNCT
ajst-18569	98	15	obtain	obtain	VERB
ajst-18569	98	16	more	more	ADJ
ajst-18569	98	17	contextual	contextual	ADJ
ajst-18569	98	18	information	information	NOUN
ajst-18569	98	19	,	,	PUNCT
ajst-18569	98	20	and	and	CCONJ
ajst-18569	98	21	improve	improve	VERB
ajst-18569	98	22	multi	multi	ADJ
ajst-18569	98	23	-	-	ADJ
ajst-18569	98	24	scale	scale	ADJ
ajst-18569	98	25	feature	feature	NOUN
ajst-18569	98	26	extraction	extraction	NOUN
ajst-18569	98	27	capability	capability	NOUN
ajst-18569	98	28	.	.	PUNCT
ajst-18569	99	1	2	2	X
ajst-18569	99	2	)	)	PUNCT
ajst-18569	99	3	a	a	DET
ajst-18569	99	4	detector	detector	NOUN
ajst-18569	99	5	nwd+wiou	nwd+wiou	NOUN
ajst-18569	99	6	that	that	PRON
ajst-18569	99	7	combines	combine	VERB
ajst-18569	99	8	a	a	DET
ajst-18569	99	9	mixed	mixed	ADJ
ajst-18569	99	10	loss	loss	NOUN
ajst-18569	99	11	function	function	NOUN
ajst-18569	99	12	is	be	AUX
ajst-18569	99	13	proposed	propose	VERB
ajst-18569	99	14	,	,	PUNCT
ajst-18569	99	15	which	which	PRON
ajst-18569	99	16	accelerates	accelerate	VERB
ajst-18569	99	17	the	the	DET
ajst-18569	99	18	training	training	NOUN
ajst-18569	99	19	loss	loss	NOUN
ajst-18569	99	20	reduction	reduction	NOUN
ajst-18569	99	21	of	of	ADP
ajst-18569	99	22	the	the	DET
ajst-18569	99	23	detection	detection	NOUN
ajst-18569	99	24	network	network	NOUN
ajst-18569	99	25	,	,	PUNCT
ajst-18569	99	26	leading	lead	VERB
ajst-18569	99	27	to	to	ADP
ajst-18569	99	28	higher	high	ADJ
ajst-18569	99	29	accuracy	accuracy	NOUN
ajst-18569	99	30	.	.	PUNCT
ajst-18569	100	1	it	it	PRON
ajst-18569	100	2	can	can	AUX
ajst-18569	100	3	adapt	adapt	VERB
ajst-18569	100	4	to	to	ADP
ajst-18569	100	5	scenarios	scenario	NOUN
ajst-18569	100	6	where	where	SCONJ
ajst-18569	100	7	both	both	CCONJ
ajst-18569	100	8	large	large	ADJ
ajst-18569	100	9	and	and	CCONJ
ajst-18569	100	10	small	small	ADJ
ajst-18569	100	11	targets	target	NOUN
ajst-18569	100	12	are	be	AUX
ajst-18569	100	13	present	present	ADJ
ajst-18569	100	14	simultaneously	simultaneously	ADV
ajst-18569	100	15	,	,	PUNCT
ajst-18569	100	16	enhancing	enhance	VERB
ajst-18569	100	17	the	the	DET
ajst-18569	100	18	overall	overall	ADJ
ajst-18569	100	19	detection	detection	NOUN
ajst-18569	100	20	capability	capability	NOUN
ajst-18569	100	21	of	of	ADP
ajst-18569	100	22	the	the	DET
ajst-18569	100	23	model	model	NOUN
ajst-18569	100	24	.	.	PUNCT
ajst-18569	101	1	3	3	X
ajst-18569	101	2	)	)	PUNCT
ajst-18569	101	3	improvements	improvement	NOUN
ajst-18569	101	4	are	be	AUX
ajst-18569	101	5	made	make	VERB
ajst-18569	101	6	to	to	ADP
ajst-18569	101	7	the	the	DET
ajst-18569	101	8	original	original	ADJ
ajst-18569	101	9	yolov5s	yolov5s	PROPN
ajst-18569	101	10	model	model	NOUN
ajst-18569	101	11	by	by	ADP
ajst-18569	101	12	adding	add	VERB
ajst-18569	101	13	a	a	DET
ajst-18569	101	14	small	small	ADJ
ajst-18569	101	15	number	number	NOUN
ajst-18569	101	16	of	of	ADP
ajst-18569	101	17	model	model	NOUN
ajst-18569	101	18	parameters	parameter	NOUN
ajst-18569	101	19	,	,	PUNCT
ajst-18569	101	20	making	make	VERB
ajst-18569	101	21	the	the	DET
ajst-18569	101	22	network	network	NOUN
ajst-18569	101	23	structure	structure	NOUN
ajst-18569	101	24	more	more	ADV
ajst-18569	101	25	complex	complex	ADJ
ajst-18569	101	26	.	.	PUNCT
ajst-18569	102	1	however	however	ADV
ajst-18569	102	2	,	,	PUNCT
ajst-18569	102	3	the	the	DET
ajst-18569	102	4	detection	detection	NOUN
ajst-18569	102	5	speed	speed	NOUN
ajst-18569	102	6	can	can	AUX
ajst-18569	102	7	still	still	ADV
ajst-18569	102	8	reach	reach	VERB
ajst-18569	102	9	131.57	131.57	NUM
ajst-18569	102	10	frames	frame	NOUN
ajst-18569	102	11	per	per	ADP
ajst-18569	102	12	second	second	NOUN
ajst-18569	102	13	,	,	PUNCT
ajst-18569	102	14	ensuring	ensure	VERB
ajst-18569	102	15	the	the	DET
ajst-18569	102	16	real	real	ADJ
ajst-18569	102	17	-	-	PUNCT
ajst-18569	102	18	time	time	NOUN
ajst-18569	102	19	detection	detection	NOUN
ajst-18569	102	20	requirements	requirement	NOUN
ajst-18569	102	21	.	.	PUNCT
ajst-18569	103	1	it	it	PRON
ajst-18569	103	2	effectively	effectively	ADV
ajst-18569	103	3	enhances	enhance	VERB
ajst-18569	103	4	the	the	DET
ajst-18569	103	5	detection	detection	NOUN
ajst-18569	103	6	of	of	ADP
ajst-18569	103	7	small	small	ADJ
ajst-18569	103	8	targets	target	NOUN
ajst-18569	103	9	and	and	CCONJ
ajst-18569	103	10	addresses	address	NOUN
ajst-18569	103	11	the	the	DET
ajst-18569	103	12	challenge	challenge	NOUN
ajst-18569	103	13	of	of	ADP
ajst-18569	103	14	detecting	detect	VERB
ajst-18569	103	15	multi	multi	ADJ
ajst-18569	103	16	-	-	ADJ
ajst-18569	103	17	scale	scale	ADJ
ajst-18569	103	18	targets	target	NOUN
ajst-18569	103	19	invading	invade	VERB
ajst-18569	103	20	power	power	NOUN
ajst-18569	103	21	transmission	transmission	NOUN
ajst-18569	103	22	lines	line	NOUN
ajst-18569	103	23	.	.	PUNCT
ajst-18569	104	1	references	reference	NOUN
ajst-18569	104	2	[	[	X
ajst-18569	104	3	1	1	NUM
ajst-18569	104	4	]	]	X
ajst-18569	104	5	zhang	zhang	PROPN
ajst-18569	104	6	yun	yun	PROPN
ajst-18569	104	7	,	,	PUNCT
ajst-18569	104	8	wang	wang	PROPN
ajst-18569	104	9	jiye	jiye	PROPN
ajst-18569	104	10	,	,	PUNCT
ajst-18569	104	11	song	song	PROPN
ajst-18569	104	12	rui	rui	PROPN
ajst-18569	104	13	,	,	PUNCT
ajst-18569	104	14	et	et	PROPN
ajst-18569	104	15	al	al	PROPN
ajst-18569	104	16	.	.	PROPN
ajst-18569	104	17	research	research	NOUN
ajst-18569	104	18	on	on	ADP
ajst-18569	104	19	efficient	efficient	ADJ
ajst-18569	104	20	detection	detection	NOUN
ajst-18569	104	21	technology	technology	NOUN
ajst-18569	104	22	of	of	ADP
ajst-18569	104	23	transmission	transmission	NOUN
ajst-18569	104	24	line	line	NOUN
ajst-18569	104	25	abnormal	abnormal	ADJ
ajst-18569	104	26	target	target	NOUN
ajst-18569	104	27	based	base	VERB
ajst-18569	104	28	on	on	ADP
ajst-18569	104	29	edge	edge	NOUN
ajst-18569	104	30	intelligence[j	intelligence[j	NOUN
ajst-18569	104	31	]	]	PUNCT
ajst-18569	104	32	.	.	PUNCT
ajst-18569	105	1	electric	electric	PROPN
ajst-18569	105	2	network	network	PROPN
ajst-18569	105	3	technology	technology	NOUN
ajst-18569	105	4	,	,	PUNCT
ajst-18569	105	5	2022	2022	NUM
ajst-18569	105	6	,	,	PUNCT
ajst-18569	105	7	46(5	46(5	NUM
ajst-18569	105	8	):	):	PUNCT
ajst-18569	105	9	1652	1652	NUM
ajst-18569	105	10	-	-	SYM
ajst-18569	105	11	1661	1661	NUM
ajst-18569	105	12	.	.	PUNCT
ajst-18569	106	1	[	[	X
ajst-18569	106	2	2	2	NUM
ajst-18569	106	3	]	]	PUNCT
ajst-18569	106	4	yang	yang	PROPN
ajst-18569	106	5	jianfeng	jianfeng	PROPN
ajst-18569	106	6	,	,	PUNCT
ajst-18569	106	7	qin	qin	PROPN
ajst-18569	106	8	zhong	zhong	PROPN
ajst-18569	106	9	,	,	PUNCT
ajst-18569	106	10	pang	pang	PROPN
ajst-18569	106	11	xiaolong	xiaolong	PROPN
ajst-18569	106	12	,	,	PUNCT
ajst-18569	106	13	et	et	PROPN
ajst-18569	106	14	al	al	PROPN
ajst-18569	106	15	.	.	PUNCT
ajst-18569	107	1	foreign	foreign	ADJ
ajst-18569	107	2	body	body	NOUN
ajst-18569	107	3	intrusion	intrusion	NOUN
ajst-18569	107	4	monitoring	monitoring	NOUN
ajst-18569	107	5	and	and	CCONJ
ajst-18569	107	6	recognition	recognition	NOUN
ajst-18569	107	7	method	method	NOUN
ajst-18569	107	8	based	base	VERB
ajst-18569	107	9	on	on	ADP
ajst-18569	107	10	dense	dense	ADJ
ajst-18569	107	11	-	-	PUNCT
ajst-18569	107	12	yolov3	yolov3	NOUN
ajst-18569	107	13	deep	deep	ADJ
ajst-18569	107	14	learning	learning	NOUN
ajst-18569	107	15	network[j	network[j	PROPN
ajst-18569	107	16	]	]	PUNCT
ajst-18569	107	17	.	.	PUNCT
ajst-18569	108	1	power	power	NOUN
ajst-18569	108	2	system	system	NOUN
ajst-18569	108	3	protection	protection	NOUN
ajst-18569	108	4	and	and	CCONJ
ajst-18569	108	5	control	control	NOUN
ajst-18569	108	6	,	,	PUNCT
ajst-18569	108	7	2021	2021	NUM
ajst-18569	108	8	,	,	PUNCT
ajst-18569	108	9	49(04	49(04	NUM
ajst-18569	108	10	):	):	PUNCT
ajst-18569	108	11	37	37	NUM
ajst-18569	108	12	-	-	SYM
ajst-18569	108	13	44	44	NUM
ajst-18569	108	14	.	.	PUNCT
ajst-18569	108	15	193	193	NUM
ajst-18569	109	1	[	[	SYM
ajst-18569	109	2	3	3	NUM
ajst-18569	109	3	]	]	X
ajst-18569	109	4	gu	gu	NOUN
ajst-18569	109	5	xiaodong	xiaodong	PROPN
ajst-18569	109	6	,	,	PUNCT
ajst-18569	109	7	tang	tang	PROPN
ajst-18569	109	8	danhong	danhong	PROPN
ajst-18569	109	9	,	,	PUNCT
ajst-18569	109	10	huang	huang	PROPN
ajst-18569	109	11	xiaohua	xiaohua	PROPN
ajst-18569	109	12	.	.	PUNCT
ajst-18569	110	1	deep	deep	ADJ
ajst-18569	110	2	learn	learn	VERB
ajst-18569	110	3	-	-	PUNCT
ajst-18569	110	4	ing	ing	NOUN
ajst-18569	110	5	-	-	PUNCT
ajst-18569	110	6	based	base	VERB
ajst-18569	110	7	defect	defect	NOUN
ajst-18569	110	8	detection	detection	NOUN
ajst-18569	110	9	and	and	CCONJ
ajst-18569	110	10	recognition	recognition	NOUN
ajst-18569	110	11	of	of	ADP
ajst-18569	110	12	a	a	DET
ajst-18569	110	13	power	power	NOUN
ajst-18569	110	14	grid	grid	NOUN
ajst-18569	110	15	inspection	inspection	NOUN
ajst-18569	110	16	image[j	image[j	PROPN
ajst-18569	110	17	]	]	PUNCT
ajst-18569	110	18	.	.	PUNCT
ajst-18569	111	1	power	power	NOUN
ajst-18569	111	2	system	system	NOUN
ajst-18569	111	3	protection	protection	NOUN
ajst-18569	111	4	and	and	CCONJ
ajst-18569	111	5	control	control	NOUN
ajst-18569	111	6	,	,	PUNCT
ajst-18569	111	7	2021	2021	NUM
ajst-18569	111	8	,	,	PUNCT
ajst-18569	111	9	49(05	49(05	PROPN
ajst-18569	111	10	):	):	PUNCT
ajst-18569	111	11	91	91	NUM
ajst-18569	111	12	-	-	SYM
ajst-18569	111	13	97	97	NUM
ajst-18569	111	14	.	.	PUNCT
ajst-18569	112	1	[	[	X
ajst-18569	112	2	4	4	X
ajst-18569	112	3	]	]	PUNCT
ajst-18569	112	4	huang	huang	PROPN
ajst-18569	112	5	yonggang	yonggang	PROPN
ajst-18569	112	6	,	,	PUNCT
ajst-18569	112	7	lei	lei	PROPN
ajst-18569	112	8	wenqian	wenqian	NOUN
ajst-18569	112	9	,	,	PUNCT
ajst-18569	112	10	chen	chen	PROPN
ajst-18569	112	11	wei	wei	PROPN
ajst-18569	112	12	,	,	PUNCT
ajst-18569	112	13	et	et	PROPN
ajst-18569	112	14	al	al	PROPN
ajst-18569	112	15	.	.	PROPN
ajst-18569	112	16	selfpowered	selfpowered	ADJ
ajst-18569	112	17	wireless	wireless	ADJ
ajst-18569	112	18	online	online	ADJ
ajst-18569	112	19	monitoring	monitoring	NOUN
ajst-18569	112	20	system	system	NOUN
ajst-18569	112	21	for	for	ADP
ajst-18569	112	22	electric	electric	ADJ
ajst-18569	112	23	transmission	transmission	NOUN
ajst-18569	112	24	lines[j	lines[j	PROPN
ajst-18569	112	25	]	]	PUNCT
ajst-18569	112	26	.	.	PUNCT
ajst-18569	113	1	journal	journal	PROPN
ajst-18569	113	2	of	of	ADP
ajst-18569	113	3	mechanical	mechanical	ADJ
ajst-18569	113	4	engineering	engineering	NOUN
ajst-18569	113	5	,	,	PUNCT
ajst-18569	113	6	2022	2022	NUM
ajst-18569	113	7	,	,	PUNCT
ajst-18569	113	8	58(20	58(20	NUM
ajst-18569	113	9	):	):	PUNCT
ajst-18569	113	10	83	83	NUM
ajst-18569	113	11	-	-	SYM
ajst-18569	113	12	91	91	NUM
ajst-18569	113	13	.	.	PUNCT
ajst-18569	114	1	[	[	X
ajst-18569	114	2	5	5	X
ajst-18569	114	3	]	]	PUNCT
ajst-18569	114	4	zhuang	zhuang	PROPN
ajst-18569	114	5	lihu	lihu	PROPN
ajst-18569	114	6	,	,	PUNCT
ajst-18569	114	7	he	he	PRON
ajst-18569	114	8	tong	tong	PROPN
ajst-18569	114	9	,	,	PUNCT
ajst-18569	114	10	zeng	zeng	PROPN
ajst-18569	114	11	yihui	yihui	PROPN
ajst-18569	114	12	,	,	PUNCT
ajst-18569	114	13	et	et	PROPN
ajst-18569	114	14	al	al	PROPN
ajst-18569	114	15	.	.	PUNCT
ajst-18569	115	1	fast	fast	ADJ
ajst-18569	115	2	image	image	NOUN
ajst-18569	115	3	recognition	recognition	NOUN
ajst-18569	115	4	of	of	ADP
ajst-18569	115	5	transmission	transmission	NOUN
ajst-18569	115	6	tower	tower	NOUN
ajst-18569	115	7	based	base	VERB
ajst-18569	115	8	on	on	ADP
ajst-18569	115	9	big	big	ADJ
ajst-18569	115	10	data[j	data[j	NOUN
ajst-18569	115	11	]	]	PUNCT
ajst-18569	115	12	.	.	PUNCT
ajst-18569	116	1	protection	protection	NOUN
ajst-18569	116	2	and	and	CCONJ
ajst-18569	116	3	control	control	NOUN
ajst-18569	116	4	of	of	ADP
ajst-18569	116	5	modern	modern	ADJ
ajst-18569	116	6	power	power	NOUN
ajst-18569	116	7	systems	system	NOUN
ajst-18569	116	8	,	,	PUNCT
ajst-18569	116	9	2018	2018	NUM
ajst-18569	116	10	,	,	PUNCT
ajst-18569	116	11	3(2	3(2	NUM
ajst-18569	116	12	):	):	PUNCT
ajst-18569	116	13	149	149	NUM
ajst-18569	116	14	-	-	SYM
ajst-18569	116	15	158	158	NUM
ajst-18569	116	16	.	.	PUNCT
ajst-18569	117	1	doi	doi	NOUN
ajst-18569	117	2	:	:	PUNCT
ajst-18569	117	3	10.1186	10.1186	NUM
ajst-18569	117	4	/	/	SYM
ajst-18569	117	5	s41601	s41601	NOUN
ajst-18569	117	6	-	-	PUNCT
ajst-18569	117	7	018	018	NUM
ajst-18569	117	8	-	-	PUNCT
ajst-18569	117	9	0088	0088	NUM
ajst-18569	117	10	-	-	PUNCT
ajst-18569	117	11	y.	y.	NOUN
ajst-18569	118	1	[	[	X
ajst-18569	118	2	6	6	NUM
ajst-18569	118	3	]	]	X
ajst-18569	118	4	chen	chen	PROPN
ajst-18569	118	5	jiachen	jiachen	PROPN
ajst-18569	118	6	,	,	PUNCT
ajst-18569	118	7	yu	yu	PROPN
ajst-18569	118	8	yaochen	yaochen	PROPN
ajst-18569	118	9	,	,	PUNCT
ajst-18569	118	10	chen	chen	PROPN
ajst-18569	118	11	zhong	zhong	PROPN
ajst-18569	118	12	,	,	PUNCT
ajst-18569	118	13	et	et	PROPN
ajst-18569	118	14	al	al	PROPN
ajst-18569	118	15	.	.	PUNCT
ajst-18569	119	1	an	an	DET
ajst-18569	119	2	improved	improved	ADJ
ajst-18569	119	3	method	method	NOUN
ajst-18569	119	4	for	for	ADP
ajst-18569	119	5	defect	defect	NOUN
ajst-18569	119	6	identification	identification	NOUN
ajst-18569	119	7	of	of	ADP
ajst-18569	119	8	transmission	transmission	NOUN
ajst-18569	119	9	lines	line	NOUN
ajst-18569	119	10	based	base	VERB
ajst-18569	119	11	on	on	ADP
ajst-18569	119	12	yolov3[j	yolov3[j	PROPN
ajst-18569	119	13	]	]	PUNCT
ajst-18569	119	14	.	.	PUNCT
ajst-18569	120	1	southern	southern	ADJ
ajst-18569	120	2	power	power	NOUN
ajst-18569	120	3	system	system	NOUN
ajst-18569	120	4	technology	technology	NOUN
ajst-18569	120	5	,	,	PUNCT
ajst-18569	120	6	2021	2021	NUM
ajst-18569	120	7	,	,	PUNCT
ajst-18569	120	8	15(1	15(1	NUM
ajst-18569	120	9	):	):	PUNCT
ajst-18569	120	10	114	114	NUM
ajst-18569	120	11	-	-	SYM
ajst-18569	120	12	120．	120．	NUM
ajst-18569	120	13	[	[	X
ajst-18569	120	14	7	7	NUM
ajst-18569	120	15	]	]	X
ajst-18569	120	16	tian	tian	ADJ
ajst-18569	120	17	pengfei	pengfei	PROPN
ajst-18569	120	18	,	,	PUNCT
ajst-18569	120	19	yu	yu	PROPN
ajst-18569	120	20	you	you	PRON
ajst-18569	120	21	,	,	PUNCT
ajst-18569	120	22	dong	dong	PROPN
ajst-18569	120	23	ming	ming	PROPN
ajst-18569	120	24	,	,	PUNCT
ajst-18569	120	25	et	et	PROPN
ajst-18569	120	26	al	al	PROPN
ajst-18569	120	27	.	.	PUNCT
ajst-18569	121	1	a	a	DET
ajst-18569	121	2	cnn	cnn	PROPN
ajst-18569	121	3	-	-	PUNCT
ajst-18569	121	4	svmbased	svmbase	VERB
ajst-18569	121	5	fault	fault	NOUN
ajst-18569	121	6	identification	identification	NOUN
ajst-18569	121	7	method	method	NOUN
ajst-18569	121	8	for	for	ADP
ajst-18569	121	9	high	high	ADJ
ajst-18569	121	10	-	-	PUNCT
ajst-18569	121	11	voltage	voltage	NOUN
ajst-18569	121	12	transmission	transmission	NOUN
ajst-18569	121	13	lines[j	lines[j	PROPN
ajst-18569	121	14	]	]	PUNCT
ajst-18569	121	15	.	.	PUNCT
ajst-18569	122	1	power	power	NOUN
ajst-18569	122	2	system	system	NOUN
ajst-18569	122	3	protection	protection	NOUN
ajst-18569	122	4	and	and	CCONJ
ajst-18569	122	5	control	control	NOUN
ajst-18569	122	6	,	,	PUNCT
ajst-18569	122	7	2022	2022	NUM
ajst-18569	122	8	,	,	PUNCT
ajst-18569	122	9	50(13	50(13	NUM
ajst-18569	122	10	):	):	PUNCT
ajst-18569	122	11	119	119	NUM
ajst-18569	122	12	-	-	SYM
ajst-18569	122	13	125	125	NUM
ajst-18569	122	14	.	.	PUNCT
ajst-18569	123	1	[	[	X
ajst-18569	123	2	8	8	NUM
ajst-18569	123	3	]	]	X
ajst-18569	123	4	zhang	zhang	PROPN
ajst-18569	123	5	zixiao	zixiao	PROPN
ajst-18569	123	6	,	,	PUNCT
ajst-18569	123	7	lu	lu	PROPN
ajst-18569	123	8	xiaoqiang	xiaoqiang	PROPN
ajst-18569	123	9	,	,	PUNCT
ajst-18569	123	10	cao	cao	PROPN
ajst-18569	123	11	guojin	guojin	NOUN
ajst-18569	123	12	,	,	PUNCT
ajst-18569	123	13	et	et	PROPN
ajst-18569	123	14	al	al	PROPN
ajst-18569	123	15	.	.	PROPN
ajst-18569	123	16	vityolo	vityolo	PROPN
ajst-18569	123	17	:	:	PUNCT
ajst-18569	123	18	transformer	transformer	NOUN
ajst-18569	123	19	-	-	PUNCT
ajst-18569	123	20	based	base	VERB
ajst-18569	123	21	yolo	yolo	NOUN
ajst-18569	123	22	for	for	ADP
ajst-18569	123	23	object	object	NOUN
ajst-18569	123	24	detection[c	detection[c	X
ajst-18569	123	25	]	]	PUNCT
ajst-18569	123	26	//	//	PUNCT
ajst-18569	123	27	international	international	ADJ
ajst-18569	123	28	conference	conference	NOUN
ajst-18569	123	29	on	on	ADP
ajst-18569	123	30	computer	computer	NOUN
ajst-18569	123	31	vision	vision	NOUN
ajst-18569	123	32	workshops	workshop	NOUN
ajst-18569	123	33	.	.	PUNCT
ajst-18569	124	1	october	october	PROPN
ajst-18569	124	2	11	11	NUM
ajst-18569	124	3	-	-	SYM
ajst-18569	124	4	17	17	NUM
ajst-18569	124	5	,	,	PUNCT
ajst-18569	124	6	2021	2021	NUM
ajst-18569	124	7	,	,	PUNCT
ajst-18569	124	8	montreal	montreal	PROPN
ajst-18569	124	9	,	,	PUNCT
ajst-18569	124	10	bc	bc	PROPN
ajst-18569	124	11	,	,	PUNCT
ajst-18569	124	12	canada	canada	PROPN
ajst-18569	124	13	:	:	PUNCT
ajst-18569	124	14	2799	2799	NUM
ajst-18569	124	15	-	-	SYM
ajst-18569	124	16	2808	2808	NUM
ajst-18569	124	17	.	.	PUNCT
ajst-18569	125	1	[	[	X
ajst-18569	125	2	9	9	NUM
ajst-18569	125	3	]	]	X
ajst-18569	125	4	wei	wei	PROPN
ajst-18569	125	5	xianzhe	xianzhe	PROPN
ajst-18569	125	6	,	,	PUNCT
ajst-18569	125	7	lu	lu	PROPN
ajst-18569	125	8	wu	wu	PROPN
ajst-18569	125	9	,	,	PUNCT
ajst-18569	125	10	zhao	zhao	PROPN
ajst-18569	125	11	wenbin	wenbin	PROPN
ajst-18569	125	12	,	,	PUNCT
ajst-18569	125	13	et	et	PROPN
ajst-18569	125	14	al	al	PROPN
ajst-18569	125	15	.	.	PROPN
ajst-18569	125	16	target	target	NOUN
ajst-18569	125	17	detection	detection	NOUN
ajst-18569	125	18	method	method	NOUN
ajst-18569	125	19	for	for	ADP
ajst-18569	125	20	external	external	ADJ
ajst-18569	125	21	damage	damage	NOUN
ajst-18569	125	22	of	of	ADP
ajst-18569	125	23	a	a	DET
ajst-18569	125	24	transmission	transmission	NOUN
ajst-18569	125	25	line	line	NOUN
ajst-18569	125	26	based	base	VERB
ajst-18569	125	27	on	on	ADP
ajst-18569	125	28	an	an	DET
ajst-18569	125	29	improved	improved	ADJ
ajst-18569	125	30	mask	mask	NOUN
ajst-18569	125	31	r	r	NOUN
ajst-18569	125	32	-	-	PUNCT
ajst-18569	125	33	cnn	cnn	PROPN
ajst-18569	125	34	algorithm[j	algorithm[j	PROPN
ajst-18569	125	35	]	]	PUNCT
ajst-18569	125	36	.	.	PUNCT
ajst-18569	126	1	power	power	NOUN
ajst-18569	126	2	system	system	NOUN
ajst-18569	126	3	protection	protection	NOUN
ajst-18569	126	4	and	and	CCONJ
ajst-18569	126	5	control	control	NOUN
ajst-18569	126	6	,	,	PUNCT
ajst-18569	126	7	2021	2021	NUM
ajst-18569	126	8	,	,	PUNCT
ajst-18569	126	9	49(23	49(23	NOUN
ajst-18569	126	10	):	):	PUNCT
ajst-18569	126	11	155	155	NUM
ajst-18569	126	12	-	-	SYM
ajst-18569	126	13	162	162	NUM
ajst-18569	126	14	.	.	PUNCT
ajst-18569	127	1	[	[	X
ajst-18569	127	2	10	10	NUM
ajst-18569	127	3	]	]	X
ajst-18569	127	4	redmon	redmon	PROPN
ajst-18569	127	5	j	j	PROPN
ajst-18569	127	6	,	,	PUNCT
ajst-18569	127	7	farhadi	farhadi	PROPN
ajst-18569	127	8	a.	a.	PROPN
ajst-18569	127	9	yolov3	yolov3	PROPN
ajst-18569	127	10	:	:	PUNCT
ajst-18569	128	1	an	an	DET
ajst-18569	128	2	incremental	incremental	ADJ
ajst-18569	128	3	improvement[eb	improvement[eb	PROPN
ajst-18569	128	4	/	/	SYM
ajst-18569	128	5	ol	ol	PROPN
ajst-18569	128	6	]	]	PUNCT
ajst-18569	128	7	.	.	PUNCT
ajst-18569	129	1	[	[	X
ajst-18569	129	2	2018	2018	NUM
ajst-18569	129	3	-	-	SYM
ajst-18569	129	4	4	4	NUM
ajst-18569	129	5	-	-	SYM
ajst-18569	129	6	8	8	NUM
ajst-18569	129	7	]	]	PUNCT
ajst-18569	129	8	.	.	PUNCT
ajst-18569	130	1	https://doi.org/10.48550/arxiv.1804.02767	https://doi.org/10.48550/arxiv.1804.02767	PROPN
ajst-18569	130	2	.	.	PUNCT
ajst-18569	131	1	[	[	X
ajst-18569	131	2	11	11	NUM
ajst-18569	131	3	]	]	X
ajst-18569	131	4	ren	ren	PROPN
ajst-18569	131	5	shaoqing	shaoqe	VERB
ajst-18569	131	6	,	,	PUNCT
ajst-18569	131	7	he	he	PRON
ajst-18569	131	8	kaiming	kaiming	NOUN
ajst-18569	131	9	,	,	PUNCT
ajst-18569	131	10	ross	ross	PROPN
ajst-18569	131	11	g	g	PROPN
ajst-18569	131	12	,	,	PUNCT
ajst-18569	131	13	et	et	PROPN
ajst-18569	131	14	al	al	PROPN
ajst-18569	131	15	.	.	PUNCT
ajst-18569	132	1	faster	fast	ADJ
ajst-18569	132	2	r	r	NOUN
ajst-18569	132	3	-	-	PUNCT
ajst-18569	132	4	cnn	cnn	NOUN
ajst-18569	132	5	:	:	PUNCT
ajst-18569	132	6	towards	towards	ADP
ajst-18569	132	7	real	real	ADJ
ajst-18569	132	8	-	-	PUNCT
ajst-18569	132	9	time	time	NOUN
ajst-18569	132	10	object	object	NOUN
ajst-18569	132	11	detection	detection	NOUN
ajst-18569	132	12	with	with	ADP
ajst-18569	132	13	region	region	NOUN
ajst-18569	132	14	proposal	proposal	NOUN
ajst-18569	132	15	networks[j	networks[j	PROPN
ajst-18569	132	16	]	]	X
ajst-18569	132	17	.	.	PUNCT
ajst-18569	133	1	ieee	ieee	NOUN
ajst-18569	133	2	transactions	transaction	NOUN
ajst-18569	133	3	on	on	ADP
ajst-18569	133	4	pattern	pattern	NOUN
ajst-18569	133	5	analysis	analysis	NOUN
ajst-18569	133	6	and	and	CCONJ
ajst-18569	133	7	machine	machine	NOUN
ajst-18569	133	8	intelligence	intelligence	NOUN
ajst-18569	133	9	,	,	PUNCT
ajst-18569	133	10	2017	2017	NUM
ajst-18569	133	11	,	,	PUNCT
ajst-18569	133	12	39	39	NUM
ajst-18569	133	13	:	:	PUNCT
ajst-18569	133	14	1137	1137	NUM
ajst-18569	133	15	-	-	SYM
ajst-18569	133	16	1149	1149	NUM
ajst-18569	133	17	.	.	PUNCT
ajst-18569	134	1	[	[	X
ajst-18569	134	2	12	12	NUM
ajst-18569	134	3	]	]	X
ajst-18569	134	4	zhang	zhang	PROPN
ajst-18569	134	5	baoxing	baoxing	PROPN
ajst-18569	134	6	,	,	PUNCT
ajst-18569	134	7	mo	mo	PROPN
ajst-18569	134	8	yifu	yifu	PROPN
ajst-18569	134	9	,	,	PUNCT
ajst-18569	134	10	pan	pan	NOUN
ajst-18569	134	11	qishen	qishen	PROPN
ajst-18569	134	12	,	,	PUNCT
ajst-18569	134	13	et	et	PROPN
ajst-18569	134	14	al	al	PROPN
ajst-18569	134	15	.	.	PUNCT
ajst-18569	135	1	instantaneous	instantaneous	ADJ
ajst-18569	135	2	intelligence	intelligence	NOUN
ajst-18569	135	3	detection	detection	NOUN
ajst-18569	135	4	for	for	ADP
ajst-18569	135	5	the	the	DET
ajst-18569	135	6	collapse	collapse	NOUN
ajst-18569	135	7	of	of	ADP
ajst-18569	135	8	poles	pole	NOUN
ajst-18569	135	9	in	in	ADP
ajst-18569	135	10	distribution	distribution	NOUN
ajst-18569	135	11	network	network	NOUN
ajst-18569	135	12	based	base	VERB
ajst-18569	135	13	on	on	ADP
ajst-18569	135	14	improved	improve	VERB
ajst-18569	135	15	yolo	yolo	PROPN
ajst-18569	135	16	-	-	PUNCT
ajst-18569	135	17	resnet	resnet	ADJ
ajst-18569	135	18	hybrid	hybrid	ADJ
ajst-18569	135	19	neural	neural	ADJ
ajst-18569	135	20	network[j	network[j	PROPN
ajst-18569	135	21	]	]	PUNCT
ajst-18569	135	22	.	.	PUNCT
ajst-18569	136	1	southern	southern	ADJ
ajst-18569	136	2	power	power	NOUN
ajst-18569	136	3	system	system	NOUN
ajst-18569	136	4	technology	technology	NOUN
ajst-18569	136	5	,	,	PUNCT
ajst-18569	136	6	2022	2022	NUM
ajst-18569	136	7	,	,	PUNCT
ajst-18569	136	8	16(8	16(8	NUM
ajst-18569	136	9	):	):	PUNCT
ajst-18569	136	10	133	133	NUM
ajst-18569	136	11	-	-	SYM
ajst-18569	136	12	141	141	NUM
ajst-18569	136	13	.	.	PUNCT
ajst-18569	137	1	[	[	X
ajst-18569	137	2	13	13	NUM
ajst-18569	137	3	]	]	SYM
ajst-18569	137	4	li	li	PROPN
ajst-18569	137	5	ruisheng	ruisheng	PROPN
ajst-18569	137	6	,	,	PUNCT
ajst-18569	137	7	zahng	zahng	PROPN
ajst-18569	137	8	yanlong	yanlong	PROPN
ajst-18569	137	9	,	,	PUNCT
ajst-18569	137	10	zhai	zhai	PROPN
ajst-18569	137	11	denghui	denghui	PROPN
ajst-18569	137	12	,	,	PUNCT
ajst-18569	137	13	et	et	PROPN
ajst-18569	137	14	al	al	PROPN
ajst-18569	137	15	.	.	PUNCT
ajst-18569	138	1	pin	pin	NOUN
ajst-18569	138	2	defect	defect	VERB
ajst-18569	138	3	detection	detection	NOUN
ajst-18569	138	4	of	of	ADP
ajst-18569	138	5	transmission	transmission	NOUN
ajst-18569	138	6	line	line	NOUN
ajst-18569	138	7	based	base	VERB
ajst-18569	138	8	on	on	ADP
ajst-18569	138	9	improved	improved	ADJ
ajst-18569	138	10	ssd[j	ssd[j	NOUN
ajst-18569	138	11	]	]	PUNCT
ajst-18569	138	12	.	.	PUNCT
ajst-18569	139	1	high	high	ADJ
ajst-18569	139	2	voltage	voltage	NOUN
ajst-18569	139	3	technology	technology	NOUN
ajst-18569	139	4	,	,	PUNCT
ajst-18569	139	5	2021	2021	NUM
ajst-18569	139	6	,	,	PUNCT
ajst-18569	139	7	47(11	47(11	NUM
ajst-18569	139	8	):	):	PUNCT
ajst-18569	139	9	3795	3795	NUM
ajst-18569	139	10	-	-	SYM
ajst-18569	139	11	3802	3802	NUM
ajst-18569	139	12	.	.	PUNCT
ajst-18569	140	1	[	[	X
ajst-18569	140	2	14	14	NUM
ajst-18569	140	3	]	]	X
ajst-18569	140	4	zhang	zhang	PROPN
ajst-18569	140	5	huanlong	huanlong	PROPN
ajst-18569	140	6	,	,	PUNCT
ajst-18569	140	7	qi	qi	PROPN
ajst-18569	140	8	qiye	qiye	PROPN
ajst-18569	140	9	,	,	PUNCT
ajst-18569	140	10	zhang	zhang	PROPN
ajst-18569	140	11	jie	jie	PROPN
ajst-18569	140	12	,	,	PUNCT
ajst-18569	140	13	et	et	PROPN
ajst-18569	140	14	al	al	PROPN
ajst-18569	140	15	.	.	PROPN
ajst-18569	140	16	bird	bird	PROPN
ajst-18569	140	17	nest	nest	PROPN
ajst-18569	140	18	detection	detection	NOUN
ajst-18569	140	19	method	method	NOUN
ajst-18569	140	20	for	for	ADP
ajst-18569	140	21	transmission	transmission	NOUN
ajst-18569	140	22	lines	line	NOUN
ajst-18569	140	23	based	base	VERB
ajst-18569	140	24	on	on	ADP
ajst-18569	140	25	improved	improved	ADJ
ajst-18569	140	26	yolov5[j	yolov5[j	PROPN
ajst-18569	140	27	]	]	PUNCT
ajst-18569	140	28	.	.	PUNCT
ajst-18569	141	1	power	power	NOUN
ajst-18569	141	2	system	system	NOUN
ajst-18569	141	3	protection	protection	NOUN
ajst-18569	141	4	and	and	CCONJ
ajst-18569	141	5	control	control	NOUN
ajst-18569	141	6	,	,	PUNCT
ajst-18569	141	7	2022	2022	NUM
ajst-18569	141	8	,	,	PUNCT
ajst-18569	141	9	51(02	51(02	NUM
ajst-18569	141	10	):	):	PUNCT
ajst-18569	141	11	151	151	NUM
ajst-18569	141	12	-	-	SYM
ajst-18569	141	13	159	159	NUM
ajst-18569	141	14	.	.	PUNCT
ajst-18569	142	1	[	[	X
ajst-18569	142	2	15	15	NUM
ajst-18569	142	3	]	]	X
ajst-18569	142	4	huang	huang	PROPN
ajst-18569	142	5	yuehua	yuehua	PROPN
ajst-18569	142	6	,	,	PUNCT
ajst-18569	142	7	liu	liu	PROPN
ajst-18569	142	8	hengchong	hengchong	PROPN
ajst-18569	142	9	,	,	PUNCT
ajst-18569	142	10	chen	chen	PROPN
ajst-18569	142	11	qing	qing	PROPN
ajst-18569	142	12	,	,	PUNCT
ajst-18569	142	13	et	et	PROPN
ajst-18569	142	14	al	al	PROPN
ajst-18569	142	15	.	.	PUNCT
ajst-18569	142	16	transmission	transmission	NOUN
ajst-18569	142	17	line	line	NOUN
ajst-18569	142	18	insulator	insulator	NOUN
ajst-18569	142	19	fault	fault	NOUN
ajst-18569	142	20	detection	detection	NOUN
ajst-18569	142	21	method	method	NOUN
ajst-18569	142	22	based	base	VERB
ajst-18569	142	23	on	on	ADP
ajst-18569	142	24	usrnet	usrnet	NOUN
ajst-18569	142	25	and	and	CCONJ
ajst-18569	142	26	improved	improve	VERB
ajst-18569	142	27	yolov5x[j	yolov5x[j	PROPN
ajst-18569	142	28	]	]	PUNCT
ajst-18569	142	29	.	.	PUNCT
ajst-18569	143	1	high	high	ADJ
ajst-18569	143	2	voltage	voltage	NOUN
ajst-18569	143	3	technology	technology	NOUN
ajst-18569	143	4	,	,	PUNCT
ajst-18569	143	5	2022	2022	NUM
ajst-18569	143	6	,	,	PUNCT
ajst-18569	143	7	48(09	48(09	NUM
ajst-18569	143	8	):	):	PUNCT
ajst-18569	143	9	3437	3437	NUM
ajst-18569	143	10	-	-	SYM
ajst-18569	143	11	3446	3446	NUM
ajst-18569	143	12	.	.	PUNCT
ajst-18569	144	1	[	[	X
ajst-18569	144	2	16	16	NUM
ajst-18569	144	3	]	]	X
ajst-18569	144	4	zhu	zhu	PROPN
ajst-18569	144	5	xizhou	xizhou	PROPN
ajst-18569	144	6	,	,	PUNCT
ajst-18569	144	7	hu	hu	PROPN
ajst-18569	144	8	han	han	PROPN
ajst-18569	144	9	,	,	PUNCT
ajst-18569	144	10	dai	dai	PROPN
ajst-18569	144	11	jifeng	jifeng	PROPN
ajst-18569	144	12	,	,	PUNCT
ajst-18569	144	13	et	et	PROPN
ajst-18569	144	14	al	al	PROPN
ajst-18569	144	15	.	.	PUNCT
ajst-18569	144	16	deformable	deformable	ADJ
ajst-18569	144	17	convnets	convnet	NOUN
ajst-18569	144	18	v2	v2	NOUN
ajst-18569	144	19	:	:	PUNCT
ajst-18569	144	20	more	more	ADV
ajst-18569	144	21	deformable	deformable	ADJ
ajst-18569	144	22	,	,	PUNCT
ajst-18569	144	23	better	well	ADJ
ajst-18569	144	24	results[c	results[c	PROPN
ajst-18569	144	25	]	]	PUNCT
ajst-18569	144	26	//	//	SYM
ajst-18569	144	27	conference	conference	NOUN
ajst-18569	144	28	on	on	ADP
ajst-18569	144	29	computer	computer	NOUN
ajst-18569	144	30	vision	vision	NOUN
ajst-18569	144	31	and	and	CCONJ
ajst-18569	144	32	pattern	pattern	NOUN
ajst-18569	144	33	recognition	recognition	NOUN
ajst-18569	144	34	.	.	PUNCT
ajst-18569	145	1	june	june	PROPN
ajst-18569	145	2	15	15	NUM
ajst-18569	145	3	-	-	SYM
ajst-18569	145	4	20	20	NUM
ajst-18569	145	5	,	,	PUNCT
ajst-18569	145	6	2019	2019	NUM
ajst-18569	145	7	,	,	PUNCT
ajst-18569	145	8	long	long	ADJ
ajst-18569	145	9	beach	beach	NOUN
ajst-18569	145	10	,	,	PUNCT
ajst-18569	145	11	ca	ca	PROPN
ajst-18569	145	12	,	,	PUNCT
ajst-18569	145	13	usa	usa	PROPN
ajst-18569	145	14	:	:	PUNCT
ajst-18569	145	15	9300	9300	NUM
ajst-18569	145	16	-	-	SYM
ajst-18569	145	17	9308	9308	NUM
ajst-18569	145	18	.	.	PUNCT
ajst-18569	146	1	[	[	X
ajst-18569	146	2	17	17	NUM
ajst-18569	146	3	]	]	X
ajst-18569	146	4	wang	wang	PROPN
ajst-18569	146	5	qilong	qilong	PROPN
ajst-18569	146	6	,	,	PUNCT
ajst-18569	146	7	wu	wu	PROPN
ajst-18569	146	8	banggu	banggu	NOUN
ajst-18569	146	9	,	,	PUNCT
ajst-18569	146	10	zhu	zhu	PROPN
ajst-18569	146	11	pengfei	pengfei	PROPN
ajst-18569	146	12	,	,	PUNCT
ajst-18569	146	13	et	et	PROPN
ajst-18569	146	14	al	al	PROPN
ajst-18569	146	15	.	.	PUNCT
ajst-18569	147	1	eca	eca	PROPN
ajst-18569	147	2	-	-	PUNCT
ajst-18569	147	3	net	net	NOUN
ajst-18569	147	4	:	:	PUNCT
ajst-18569	147	5	efficient	efficient	ADJ
ajst-18569	147	6	channel	channel	NOUN
ajst-18569	147	7	attention	attention	NOUN
ajst-18569	147	8	for	for	ADP
ajst-18569	147	9	deep	deep	ADJ
ajst-18569	147	10	convolutional	convolutional	ADJ
ajst-18569	147	11	neural	neural	NOUN
ajst-18569	147	12	networks[c	networks[c	PROPN
ajst-18569	147	13	]	]	PUNCT
ajst-18569	147	14	//	//	SYM
ajst-18569	147	15	conference	conference	NOUN
ajst-18569	147	16	on	on	ADP
ajst-18569	147	17	computer	computer	NOUN
ajst-18569	147	18	vision	vision	NOUN
ajst-18569	147	19	and	and	CCONJ
ajst-18569	147	20	pattern	pattern	NOUN
ajst-18569	147	21	recognition	recognition	NOUN
ajst-18569	147	22	.	.	PUNCT
ajst-18569	148	1	june	june	PROPN
ajst-18569	148	2	13	13	NUM
ajst-18569	148	3	-	-	SYM
ajst-18569	148	4	19	19	NUM
ajst-18569	148	5	,	,	PUNCT
ajst-18569	148	6	2020	2020	NUM
ajst-18569	148	7	,	,	PUNCT
ajst-18569	148	8	seattle	seattle	PROPN
ajst-18569	148	9	,	,	PUNCT
ajst-18569	148	10	wa	wa	PROPN
ajst-18569	148	11	,	,	PUNCT
ajst-18569	148	12	usa	usa	PROPN
ajst-18569	148	13	:	:	PUNCT
ajst-18569	148	14	1153111539	1153111539	NUM
ajst-18569	148	15	.	.	PUNCT
ajst-18569	149	1	[	[	X
ajst-18569	149	2	18	18	NUM
ajst-18569	149	3	]	]	PUNCT
ajst-18569	149	4	xu	xu	PROPN
ajst-18569	149	5	chang	chang	PROPN
ajst-18569	149	6	,	,	PUNCT
ajst-18569	149	7	wang	wang	PROPN
ajst-18569	149	8	jinwang	jinwang	PROPN
ajst-18569	149	9	,	,	PUNCT
ajst-18569	149	10	yang	yang	PROPN
ajst-18569	149	11	wen	wen	PROPN
ajst-18569	149	12	,	,	PUNCT
ajst-18569	149	13	et	et	PROPN
ajst-18569	149	14	al	al	PROPN
ajst-18569	149	15	.	.	PUNCT
ajst-18569	149	16	detecting	detect	VERB
ajst-18569	149	17	tiny	tiny	ADJ
ajst-18569	149	18	objects	object	NOUN
ajst-18569	149	19	in	in	ADP
ajst-18569	149	20	aerial	aerial	ADJ
ajst-18569	149	21	images	image	NOUN
ajst-18569	149	22	:	:	PUNCT
ajst-18569	149	23	a	a	DET
ajst-18569	149	24	normalized	normalize	VERB
ajst-18569	149	25	wasserstein	wasserstein	NOUN
ajst-18569	149	26	distance	distance	NOUN
ajst-18569	149	27	and	and	CCONJ
ajst-18569	149	28	a	a	DET
ajst-18569	149	29	new	new	ADJ
ajst-18569	149	30	benchmark[j	benchmark[j	NOUN
ajst-18569	149	31	]	]	PUNCT
ajst-18569	149	32	.	.	PUNCT
ajst-18569	150	1	isprs	isprs	PROPN
ajst-18569	150	2	journal	journal	PROPN
ajst-18569	150	3	of	of	ADP
ajst-18569	150	4	photogrammetry	photogrammetry	NOUN
ajst-18569	150	5	and	and	CCONJ
ajst-18569	150	6	remote	remote	ADJ
ajst-18569	150	7	sensing	sensing	NOUN
ajst-18569	150	8	,	,	PUNCT
ajst-18569	150	9	2022	2022	NUM
ajst-18569	150	10	,	,	PUNCT
ajst-18569	150	11	190	190	NUM
ajst-18569	150	12	:	:	SYM
ajst-18569	150	13	79	79	NUM
ajst-18569	150	14	-	-	SYM
ajst-18569	150	15	93	93	NUM
ajst-18569	150	16	.	.	PUNCT
ajst-18569	151	1	[	[	X
ajst-18569	151	2	19	19	NUM
ajst-18569	151	3	]	]	X
ajst-18569	151	4	tong	tong	PROPN
ajst-18569	151	5	zanjia	zanjia	PROPN
ajst-18569	151	6	,	,	PUNCT
ajst-18569	151	7	chen	chen	PROPN
ajst-18569	151	8	yuhang	yuhang	PROPN
ajst-18569	151	9	,	,	PUNCT
ajst-18569	151	10	xu	xu	PROPN
ajst-18569	151	11	zewei	zewei	PROPN
ajst-18569	151	12	,	,	PUNCT
ajst-18569	151	13	et	et	PROPN
ajst-18569	151	14	al	al	PROPN
ajst-18569	151	15	.	.	PUNCT
ajst-18569	151	16	wise	wise	ADJ
ajst-18569	151	17	-	-	PUNCT
ajst-18569	151	18	iou	iou	NOUN
ajst-18569	151	19	:	:	PUNCT
ajst-18569	151	20	bounding	bound	VERB
ajst-18569	151	21	box	box	NOUN
ajst-18569	151	22	regression	regression	NOUN
ajst-18569	151	23	loss	loss	NOUN
ajst-18569	151	24	with	with	ADP
ajst-18569	151	25	dynamic	dynamic	ADJ
ajst-18569	151	26	focusing	focus	VERB
ajst-18569	151	27	mechanism[eb	mechanism[eb	PROPN
ajst-18569	151	28	/	/	SYM
ajst-18569	151	29	ol	ol	PROPN
ajst-18569	151	30	]	]	PUNCT
ajst-18569	151	31	.	.	PUNCT
ajst-18569	152	1	[	[	X
ajst-18569	152	2	2023	2023	NUM
ajst-18569	152	3	-	-	SYM
ajst-18569	152	4	1	1	NUM
ajst-18569	152	5	-	-	NUM
ajst-18569	152	6	24	24	NUM
ajst-18569	152	7	]	]	PUNCT
ajst-18569	152	8	https://doi.org/10.48550/arxiv.2301.10051	https://doi.org/10.48550/arxiv.2301.10051	PROPN
ajst-18569	152	9	.	.	PUNCT