id	sid	tid	token	lemma	pos
ajst-14944	1	1	academic	academic	ADJ
ajst-14944	1	2	journal	journal	NOUN
ajst-14944	1	3	of	of	ADP
ajst-14944	1	4	science	science	NOUN
ajst-14944	1	5	and	and	CCONJ
ajst-14944	1	6	technology	technology	NOUN
ajst-14944	1	7	issn	issn	NOUN
ajst-14944	1	8	:	:	PUNCT
ajst-14944	1	9	2771	2771	NUM
ajst-14944	1	10	-	-	SYM
ajst-14944	1	11	3032	3032	NUM
ajst-14944	1	12	|	|	NOUN
ajst-14944	1	13	vol	vol	NOUN
ajst-14944	1	14	.	.	PROPN
ajst-14944	1	15	8	8	NUM
ajst-14944	1	16	,	,	PUNCT
ajst-14944	1	17	no	no	INTJ
ajst-14944	1	18	.	.	NOUN
ajst-14944	1	19	2	2	NUM
ajst-14944	1	20	,	,	PUNCT
ajst-14944	1	21	2023	2023	NUM
ajst-14944	1	22	50	50	NUM
ajst-14944	1	23	steel	steel	NOUN
ajst-14944	1	24	surface	surface	NOUN
ajst-14944	1	25	defect	defect	NOUN
ajst-14944	1	26	detection	detection	NOUN
ajst-14944	1	27	method	method	NOUN
ajst-14944	1	28	based	base	VERB
ajst-14944	1	29	on	on	ADP
ajst-14944	1	30	improved	improved	ADJ
ajst-14944	1	31	yolov8	yolov8	NOUN
ajst-14944	1	32	yang	yang	PROPN
ajst-14944	1	33	long1	long1	PROPN
ajst-14944	1	34	,	,	PUNCT
ajst-14944	1	35	*	*	PUNCT
ajst-14944	1	36	,	,	PUNCT
ajst-14944	1	37	yingrui	yingrui	PROPN
ajst-14944	1	38	jia1	jia1	PROPN
ajst-14944	1	39	1	1	NUM
ajst-14944	1	40	school	school	NOUN
ajst-14944	1	41	of	of	ADP
ajst-14944	1	42	computer	computer	NOUN
ajst-14944	1	43	science	science	NOUN
ajst-14944	1	44	,	,	PUNCT
ajst-14944	1	45	yangtze	yangtze	PROPN
ajst-14944	1	46	university	university	PROPN
ajst-14944	1	47	,	,	PUNCT
ajst-14944	1	48	jingzhou	jingzhou	ADV
ajst-14944	1	49	,	,	PUNCT
ajst-14944	1	50	434023	434023	NUM
ajst-14944	1	51	,	,	PUNCT
ajst-14944	1	52	china	china	PROPN
ajst-14944	1	53	*	*	PUNCT
ajst-14944	1	54	corresponding	correspond	VERB
ajst-14944	1	55	author	author	NOUN
ajst-14944	1	56	:	:	PUNCT
ajst-14944	1	57	yang	yang	PROPN
ajst-14944	1	58	long	long	ADV
ajst-14944	1	59	(	(	PUNCT
ajst-14944	1	60	email	email	NOUN
ajst-14944	1	61	:	:	PUNCT
ajst-14944	1	62	2022710657@yangtzeu.edu.cn	2022710657@yangtzeu.edu.cn	NUM
ajst-14944	1	63	)	)	PUNCT
ajst-14944	1	64	abstract	abstract	NOUN
ajst-14944	1	65	:	:	PUNCT
ajst-14944	1	66	this	this	DET
ajst-14944	1	67	research	research	NOUN
ajst-14944	1	68	aims	aim	VERB
ajst-14944	1	69	to	to	PART
ajst-14944	1	70	improve	improve	VERB
ajst-14944	1	71	the	the	DET
ajst-14944	1	72	accuracy	accuracy	NOUN
ajst-14944	1	73	and	and	CCONJ
ajst-14944	1	74	efficiency	efficiency	NOUN
ajst-14944	1	75	of	of	ADP
ajst-14944	1	76	steel	steel	NOUN
ajst-14944	1	77	surface	surface	NOUN
ajst-14944	1	78	defect	defect	NOUN
ajst-14944	1	79	detection	detection	NOUN
ajst-14944	1	80	and	and	CCONJ
ajst-14944	1	81	address	address	VERB
ajst-14944	1	82	the	the	DET
ajst-14944	1	83	current	current	ADJ
ajst-14944	1	84	insufficient	insufficient	ADJ
ajst-14944	1	85	algorithm	algorithm	NOUN
ajst-14944	1	86	performance	performance	NOUN
ajst-14944	1	87	in	in	ADP
ajst-14944	1	88	steel	steel	NOUN
ajst-14944	1	89	defect	defect	NOUN
ajst-14944	1	90	detection	detection	NOUN
ajst-14944	1	91	,	,	PUNCT
ajst-14944	1	92	especially	especially	ADV
ajst-14944	1	93	the	the	DET
ajst-14944	1	94	challenges	challenge	NOUN
ajst-14944	1	95	in	in	ADP
ajst-14944	1	96	multi	multi	ADJ
ajst-14944	1	97	-	-	ADJ
ajst-14944	1	98	scale	scale	ADJ
ajst-14944	1	99	feature	feature	NOUN
ajst-14944	1	100	extraction	extraction	NOUN
ajst-14944	1	101	and	and	CCONJ
ajst-14944	1	102	parameter	parameter	NOUN
ajst-14944	1	103	efficiency	efficiency	NOUN
ajst-14944	1	104	.	.	PUNCT
ajst-14944	2	1	based	base	VERB
ajst-14944	2	2	on	on	ADP
ajst-14944	2	3	the	the	DET
ajst-14944	2	4	improved	improved	ADJ
ajst-14944	2	5	yolov8	yolov8	NOUN
ajst-14944	2	6	network	network	NOUN
ajst-14944	2	7	structure	structure	NOUN
ajst-14944	2	8	,	,	PUNCT
ajst-14944	2	9	three	three	NUM
ajst-14944	2	10	key	key	ADJ
ajst-14944	2	11	improvement	improvement	NOUN
ajst-14944	2	12	points	point	NOUN
ajst-14944	2	13	are	be	AUX
ajst-14944	2	14	introduced	introduce	VERB
ajst-14944	2	15	:	:	PUNCT
ajst-14944	2	16	the	the	DET
ajst-14944	2	17	dbb	dbb	PROPN
ajst-14944	2	18	module	module	NOUN
ajst-14944	2	19	optimizes	optimize	VERB
ajst-14944	2	20	multi	multi	ADJ
ajst-14944	2	21	-	-	ADJ
ajst-14944	2	22	scale	scale	ADJ
ajst-14944	2	23	feature	feature	NOUN
ajst-14944	2	24	extraction	extraction	NOUN
ajst-14944	2	25	,	,	PUNCT
ajst-14944	2	26	the	the	DET
ajst-14944	2	27	msca	msca	NOUN
ajst-14944	2	28	attention	attention	NOUN
ajst-14944	2	29	mechanism	mechanism	NOUN
ajst-14944	2	30	enhances	enhance	VERB
ajst-14944	2	31	the	the	DET
ajst-14944	2	32	model	model	NOUN
ajst-14944	2	33	's	's	PART
ajst-14944	2	34	defect	defect	ADJ
ajst-14944	2	35	detection	detection	NOUN
ajst-14944	2	36	accuracy	accuracy	NOUN
ajst-14944	2	37	,	,	PUNCT
ajst-14944	2	38	and	and	CCONJ
ajst-14944	2	39	the	the	DET
ajst-14944	2	40	optimized	optimize	VERB
ajst-14944	2	41	gdetect	gdetect	NOUN
ajst-14944	2	42	module	module	NOUN
ajst-14944	2	43	reduces	reduce	VERB
ajst-14944	2	44	the	the	DET
ajst-14944	2	45	amount	amount	NOUN
ajst-14944	2	46	of	of	ADP
ajst-14944	2	47	parameters	parameter	NOUN
ajst-14944	2	48	and	and	CCONJ
ajst-14944	2	49	calculations	calculation	NOUN
ajst-14944	2	50	.	.	PUNCT
ajst-14944	3	1	extensive	extensive	ADJ
ajst-14944	3	2	experiments	experiment	NOUN
ajst-14944	3	3	and	and	CCONJ
ajst-14944	3	4	comparative	comparative	ADJ
ajst-14944	3	5	analysis	analysis	NOUN
ajst-14944	3	6	using	use	VERB
ajst-14944	3	7	the	the	DET
ajst-14944	3	8	neu	neu	PROPN
ajst-14944	3	9	-	-	PUNCT
ajst-14944	3	10	det	det	PROPN
ajst-14944	3	11	data	datum	NOUN
ajst-14944	3	12	set	set	VERB
ajst-14944	3	13	verify	verify	VERB
ajst-14944	3	14	the	the	DET
ajst-14944	3	15	effectiveness	effectiveness	NOUN
ajst-14944	3	16	of	of	ADP
ajst-14944	3	17	the	the	DET
ajst-14944	3	18	improved	improved	ADJ
ajst-14944	3	19	method	method	NOUN
ajst-14944	3	20	.	.	PUNCT
ajst-14944	4	1	ablation	ablation	NOUN
ajst-14944	4	2	experiments	experiment	NOUN
ajst-14944	4	3	show	show	VERB
ajst-14944	4	4	that	that	SCONJ
ajst-14944	4	5	using	use	VERB
ajst-14944	4	6	dbb	dbb	PROPN
ajst-14944	4	7	or	or	CCONJ
ajst-14944	4	8	msca	msca	NOUN
ajst-14944	4	9	alone	alone	ADV
ajst-14944	4	10	has	have	VERB
ajst-14944	4	11	limited	limit	VERB
ajst-14944	4	12	performance	performance	NOUN
ajst-14944	4	13	improvement	improvement	NOUN
ajst-14944	4	14	,	,	PUNCT
ajst-14944	4	15	but	but	CCONJ
ajst-14944	4	16	when	when	SCONJ
ajst-14944	4	17	msca	msca	NOUN
ajst-14944	4	18	and	and	CCONJ
ajst-14944	4	19	gdetect	gdetect	NOUN
ajst-14944	4	20	are	be	AUX
ajst-14944	4	21	combined	combine	VERB
ajst-14944	4	22	,	,	PUNCT
ajst-14944	4	23	the	the	DET
ajst-14944	4	24	model	model	NOUN
ajst-14944	4	25	has	have	VERB
ajst-14944	4	26	significant	significant	ADJ
ajst-14944	4	27	improvements	improvement	NOUN
ajst-14944	4	28	in	in	ADP
ajst-14944	4	29	precision	precision	NOUN
ajst-14944	4	30	,	,	PUNCT
ajst-14944	4	31	recall	recall	NOUN
ajst-14944	4	32	,	,	PUNCT
ajst-14944	4	33	and	and	CCONJ
ajst-14944	4	34	map50	map50	ADJ
ajst-14944	4	35	indicators	indicator	NOUN
ajst-14944	4	36	.	.	PUNCT
ajst-14944	5	1	comparative	comparative	ADJ
ajst-14944	5	2	experiments	experiment	NOUN
ajst-14944	5	3	show	show	VERB
ajst-14944	5	4	that	that	SCONJ
ajst-14944	5	5	the	the	DET
ajst-14944	5	6	performance	performance	NOUN
ajst-14944	5	7	of	of	ADP
ajst-14944	5	8	this	this	DET
ajst-14944	5	9	algorithm	algorithm	NOUN
ajst-14944	5	10	is	be	AUX
ajst-14944	5	11	close	close	ADJ
ajst-14944	5	12	to	to	ADP
ajst-14944	5	13	or	or	CCONJ
ajst-14944	5	14	even	even	ADV
ajst-14944	5	15	surpasses	surpass	VERB
ajst-14944	5	16	some	some	DET
ajst-14944	5	17	more	more	ADV
ajst-14944	5	18	complex	complex	ADJ
ajst-14944	5	19	models	model	NOUN
ajst-14944	5	20	while	while	SCONJ
ajst-14944	5	21	remaining	remain	VERB
ajst-14944	5	22	relatively	relatively	ADV
ajst-14944	5	23	lightweight	lightweight	ADJ
ajst-14944	5	24	.	.	PUNCT
ajst-14944	6	1	the	the	DET
ajst-14944	6	2	average	average	ADJ
ajst-14944	6	3	accuracy	accuracy	NOUN
ajst-14944	6	4	mean	mean	VERB
ajst-14944	6	5	analysis	analysis	NOUN
ajst-14944	6	6	for	for	ADP
ajst-14944	6	7	six	six	NUM
ajst-14944	6	8	defect	defect	ADJ
ajst-14944	6	9	categories	category	NOUN
ajst-14944	6	10	also	also	ADV
ajst-14944	6	11	shows	show	VERB
ajst-14944	6	12	the	the	DET
ajst-14944	6	13	superior	superior	ADJ
ajst-14944	6	14	performance	performance	NOUN
ajst-14944	6	15	of	of	ADP
ajst-14944	6	16	this	this	DET
ajst-14944	6	17	algorithm	algorithm	NOUN
ajst-14944	6	18	for	for	ADP
ajst-14944	6	19	various	various	ADJ
ajst-14944	6	20	types	type	NOUN
ajst-14944	6	21	of	of	ADP
ajst-14944	6	22	defects	defect	NOUN
ajst-14944	6	23	.	.	PUNCT
ajst-14944	7	1	the	the	DET
ajst-14944	7	2	steel	steel	NOUN
ajst-14944	7	3	surface	surface	NOUN
ajst-14944	7	4	defect	defect	NOUN
ajst-14944	7	5	detection	detection	NOUN
ajst-14944	7	6	method	method	NOUN
ajst-14944	7	7	proposed	propose	VERB
ajst-14944	7	8	in	in	ADP
ajst-14944	7	9	this	this	DET
ajst-14944	7	10	study	study	NOUN
ajst-14944	7	11	based	base	VERB
ajst-14944	7	12	on	on	ADP
ajst-14944	7	13	the	the	DET
ajst-14944	7	14	improved	improved	ADJ
ajst-14944	7	15	yolov8	yolov8	NOUN
ajst-14944	7	16	network	network	NOUN
ajst-14944	7	17	has	have	AUX
ajst-14944	7	18	made	make	VERB
ajst-14944	7	19	significant	significant	ADJ
ajst-14944	7	20	progress	progress	NOUN
ajst-14944	7	21	in	in	ADP
ajst-14944	7	22	the	the	DET
ajst-14944	7	23	field	field	NOUN
ajst-14944	7	24	of	of	ADP
ajst-14944	7	25	steel	steel	NOUN
ajst-14944	7	26	defect	defect	NOUN
ajst-14944	7	27	detection	detection	NOUN
ajst-14944	7	28	.	.	PUNCT
ajst-14944	8	1	the	the	DET
ajst-14944	8	2	improved	improved	ADJ
ajst-14944	8	3	method	method	NOUN
ajst-14944	8	4	improves	improve	VERB
ajst-14944	8	5	detection	detection	NOUN
ajst-14944	8	6	accuracy	accuracy	NOUN
ajst-14944	8	7	,	,	PUNCT
ajst-14944	8	8	solves	solve	VERB
ajst-14944	8	9	common	common	ADJ
ajst-14944	8	10	problems	problem	NOUN
ajst-14944	8	11	,	,	PUNCT
ajst-14944	8	12	and	and	CCONJ
ajst-14944	8	13	achieves	achieve	VERB
ajst-14944	8	14	high	high	ADJ
ajst-14944	8	15	performance	performance	NOUN
ajst-14944	8	16	while	while	SCONJ
ajst-14944	8	17	maintaining	maintain	VERB
ajst-14944	8	18	lightweight	lightweight	NOUN
ajst-14944	8	19	,	,	PUNCT
ajst-14944	8	20	providing	provide	VERB
ajst-14944	8	21	an	an	DET
ajst-14944	8	22	efficient	efficient	ADJ
ajst-14944	8	23	and	and	CCONJ
ajst-14944	8	24	feasible	feasible	ADJ
ajst-14944	8	25	solution	solution	NOUN
ajst-14944	8	26	for	for	ADP
ajst-14944	8	27	steel	steel	NOUN
ajst-14944	8	28	surface	surface	NOUN
ajst-14944	8	29	defect	defect	NOUN
ajst-14944	8	30	detection	detection	NOUN
ajst-14944	8	31	.	.	PUNCT
ajst-14944	9	1	keywords	keyword	NOUN
ajst-14944	9	2	:	:	PUNCT
ajst-14944	9	3	steel	steel	NOUN
ajst-14944	9	4	surface	surface	NOUN
ajst-14944	9	5	defect	defect	NOUN
ajst-14944	9	6	detection	detection	NOUN
ajst-14944	9	7	;	;	PUNCT
ajst-14944	9	8	yolov8	yolov8	PROPN
ajst-14944	9	9	;	;	PUNCT
ajst-14944	9	10	dbb	dbb	PROPN
ajst-14944	9	11	;	;	PUNCT
ajst-14944	9	12	msca	msca	NOUN
ajst-14944	9	13	;	;	PUNCT
ajst-14944	9	14	gdetect	gdetect	NOUN
ajst-14944	9	15	;	;	PUNCT
ajst-14944	9	16	lightweight	lightweight	ADJ
ajst-14944	9	17	.	.	PUNCT
ajst-14944	10	1	1	1	X
ajst-14944	10	2	.	.	X
ajst-14944	10	3	introduction	introduction	NOUN
ajst-14944	10	4	with	with	ADP
ajst-14944	10	5	the	the	DET
ajst-14944	10	6	continuous	continuous	ADJ
ajst-14944	10	7	development	development	NOUN
ajst-14944	10	8	of	of	ADP
ajst-14944	10	9	industrial	industrial	ADJ
ajst-14944	10	10	production	production	NOUN
ajst-14944	10	11	,	,	PUNCT
ajst-14944	10	12	steel	steel	NOUN
ajst-14944	10	13	,	,	PUNCT
ajst-14944	10	14	as	as	ADP
ajst-14944	10	15	an	an	DET
ajst-14944	10	16	important	important	ADJ
ajst-14944	10	17	material	material	NOUN
ajst-14944	10	18	widely	widely	ADV
ajst-14944	10	19	used	use	VERB
ajst-14944	10	20	in	in	ADP
ajst-14944	10	21	construction	construction	NOUN
ajst-14944	10	22	,	,	PUNCT
ajst-14944	10	23	transportation	transportation	NOUN
ajst-14944	10	24	,	,	PUNCT
ajst-14944	10	25	energy	energy	NOUN
ajst-14944	10	26	and	and	CCONJ
ajst-14944	10	27	other	other	ADJ
ajst-14944	10	28	fields	field	NOUN
ajst-14944	10	29	,	,	PUNCT
ajst-14944	10	30	its	its	PRON
ajst-14944	10	31	quality	quality	NOUN
ajst-14944	10	32	is	be	AUX
ajst-14944	10	33	directly	directly	ADV
ajst-14944	10	34	related	relate	VERB
ajst-14944	10	35	to	to	ADP
ajst-14944	10	36	the	the	DET
ajst-14944	10	37	safety	safety	NOUN
ajst-14944	10	38	and	and	CCONJ
ajst-14944	10	39	reliability	reliability	NOUN
ajst-14944	10	40	of	of	ADP
ajst-14944	10	41	the	the	DET
ajst-14944	10	42	project	project	NOUN
ajst-14944	10	43	.	.	PUNCT
ajst-14944	11	1	however	however	ADV
ajst-14944	11	2	,	,	PUNCT
ajst-14944	11	3	in	in	ADP
ajst-14944	11	4	the	the	DET
ajst-14944	11	5	process	process	NOUN
ajst-14944	11	6	of	of	ADP
ajst-14944	11	7	steel	steel	NOUN
ajst-14944	11	8	production	production	NOUN
ajst-14944	11	9	and	and	CCONJ
ajst-14944	11	10	processing	processing	NOUN
ajst-14944	11	11	,	,	PUNCT
ajst-14944	11	12	the	the	DET
ajst-14944	11	13	generation	generation	NOUN
ajst-14944	11	14	of	of	ADP
ajst-14944	11	15	surface	surface	NOUN
ajst-14944	11	16	defects	defect	NOUN
ajst-14944	11	17	inevitably	inevitably	ADV
ajst-14944	11	18	affects	affect	VERB
ajst-14944	11	19	its	its	PRON
ajst-14944	11	20	quality	quality	NOUN
ajst-14944	11	21	,	,	PUNCT
ajst-14944	11	22	which	which	PRON
ajst-14944	11	23	may	may	AUX
ajst-14944	11	24	lead	lead	VERB
ajst-14944	11	25	to	to	ADP
ajst-14944	11	26	problems	problem	NOUN
ajst-14944	11	27	such	such	ADJ
ajst-14944	11	28	as	as	ADP
ajst-14944	11	29	reduced	reduce	VERB
ajst-14944	11	30	structural	structural	ADJ
ajst-14944	11	31	strength	strength	NOUN
ajst-14944	11	32	and	and	CCONJ
ajst-14944	11	33	corrosion	corrosion	NOUN
ajst-14944	11	34	resistance	resistance	NOUN
ajst-14944	11	35	.	.	PUNCT
ajst-14944	12	1	therefore	therefore	ADV
ajst-14944	12	2	,	,	PUNCT
ajst-14944	12	3	realizing	realize	VERB
ajst-14944	12	4	accurate	accurate	ADJ
ajst-14944	12	5	and	and	CCONJ
ajst-14944	12	6	efficient	efficient	ADJ
ajst-14944	12	7	detection	detection	NOUN
ajst-14944	12	8	of	of	ADP
ajst-14944	12	9	steel	steel	NOUN
ajst-14944	12	10	surface	surface	NOUN
ajst-14944	12	11	defects	defect	NOUN
ajst-14944	12	12	has	have	AUX
ajst-14944	12	13	become	become	VERB
ajst-14944	12	14	an	an	DET
ajst-14944	12	15	important	important	ADJ
ajst-14944	12	16	part	part	NOUN
ajst-14944	12	17	of	of	ADP
ajst-14944	12	18	guaranteeing	guarantee	VERB
ajst-14944	12	19	the	the	DET
ajst-14944	12	20	quality	quality	NOUN
ajst-14944	12	21	of	of	ADP
ajst-14944	12	22	steel	steel	NOUN
ajst-14944	12	23	.	.	PUNCT
ajst-14944	13	1	with	with	ADP
ajst-14944	13	2	the	the	DET
ajst-14944	13	3	rapid	rapid	ADJ
ajst-14944	13	4	development	development	NOUN
ajst-14944	13	5	of	of	ADP
ajst-14944	13	6	computer	computer	NOUN
ajst-14944	13	7	vision	vision	NOUN
ajst-14944	13	8	and	and	CCONJ
ajst-14944	13	9	deep	deep	ADJ
ajst-14944	13	10	learning	learning	NOUN
ajst-14944	13	11	technology	technology	NOUN
ajst-14944	13	12	,	,	PUNCT
ajst-14944	13	13	defect	defect	VERB
ajst-14944	13	14	detection	detection	NOUN
ajst-14944	13	15	methods	method	NOUN
ajst-14944	13	16	based	base	VERB
ajst-14944	13	17	on	on	ADP
ajst-14944	13	18	image	image	NOUN
ajst-14944	13	19	processing	processing	NOUN
ajst-14944	13	20	have	have	AUX
ajst-14944	13	21	gradually	gradually	ADV
ajst-14944	13	22	become	become	VERB
ajst-14944	13	23	a	a	DET
ajst-14944	13	24	key	key	ADJ
ajst-14944	13	25	means	mean	NOUN
ajst-14944	13	26	to	to	PART
ajst-14944	13	27	solve	solve	VERB
ajst-14944	13	28	this	this	DET
ajst-14944	13	29	problem	problem	NOUN
ajst-14944	13	30	.	.	PUNCT
ajst-14944	14	1	in	in	ADP
ajst-14944	14	2	recent	recent	ADJ
ajst-14944	14	3	years	year	NOUN
ajst-14944	14	4	,	,	PUNCT
ajst-14944	14	5	target	target	NOUN
ajst-14944	14	6	detection	detection	NOUN
ajst-14944	14	7	algorithms	algorithm	NOUN
ajst-14944	14	8	have	have	AUX
ajst-14944	14	9	made	make	VERB
ajst-14944	14	10	significant	significant	ADJ
ajst-14944	14	11	progress	progress	NOUN
ajst-14944	14	12	in	in	ADP
ajst-14944	14	13	the	the	DET
ajst-14944	14	14	field	field	NOUN
ajst-14944	14	15	of	of	ADP
ajst-14944	14	16	image	image	NOUN
ajst-14944	14	17	processing	processing	NOUN
ajst-14944	14	18	,	,	PUNCT
ajst-14944	14	19	and	and	CCONJ
ajst-14944	14	20	the	the	DET
ajst-14944	14	21	more	more	ADV
ajst-14944	14	22	popular	popular	ADJ
ajst-14944	14	23	two	two	NUM
ajst-14944	14	24	-	-	PUNCT
ajst-14944	14	25	stage	stage	NOUN
ajst-14944	14	26	detection	detection	NOUN
ajst-14944	14	27	models	model	NOUN
ajst-14944	14	28	are	be	AUX
ajst-14944	14	29	faster	fast	ADJ
ajst-14944	14	30	r	r	X
ajst-14944	14	31	-	-	PUNCT
ajst-14944	14	32	cnn[1	cnn[1	NOUN
ajst-14944	14	33	]	]	X
ajst-14944	14	34	,	,	PUNCT
ajst-14944	14	35	fpn[2	fpn[2	PROPN
ajst-14944	14	36	]	]	PUNCT
ajst-14944	14	37	,	,	PUNCT
ajst-14944	14	38	fast	fast	ADJ
ajst-14944	14	39	r	r	NOUN
ajst-14944	14	40	-	-	PUNCT
ajst-14944	14	41	cnn[3]and	cnn[3]and	NOUN
ajst-14944	14	42	so	so	ADV
ajst-14944	14	43	on	on	ADV
ajst-14944	14	44	.	.	PUNCT
ajst-14944	15	1	one	one	NUM
ajst-14944	15	2	-	-	PUNCT
ajst-14944	15	3	stage	stage	NOUN
ajst-14944	15	4	classical	classical	ADJ
ajst-14944	15	5	algorithms	algorithm	NOUN
ajst-14944	15	6	are	be	AUX
ajst-14944	15	7	fcos[4	fcos[4	ADV
ajst-14944	15	8	]	]	NOUN
ajst-14944	15	9	,	,	PUNCT
ajst-14944	15	10	ssd[5	ssd[5	PROPN
ajst-14944	15	11	]	]	PUNCT
ajst-14944	15	12	,	,	PUNCT
ajst-14944	15	13	retina	retina	NOUN
ajst-14944	15	14	-	-	PUNCT
ajst-14944	15	15	net[6	net[6	NOUN
ajst-14944	15	16	]	]	PUNCT
ajst-14944	15	17	,	,	PUNCT
ajst-14944	15	18	yolo[7	yolo[7	NOUN
ajst-14944	15	19	-	-	PUNCT
ajst-14944	15	20	11	11	NUM
ajst-14944	15	21	]	]	PUNCT
ajst-14944	15	22	series	series	NOUN
ajst-14944	15	23	of	of	ADP
ajst-14944	15	24	algorithms	algorithms	PROPN
ajst-14944	15	25	,	,	PUNCT
ajst-14944	15	26	etc	etc	X
ajst-14944	15	27	.	.	X
ajst-14944	16	1	li[12	li[12	PROPN
ajst-14944	16	2	]	]	X
ajst-14944	16	3	et	et	PROPN
ajst-14944	16	4	al	al	PROPN
ajst-14944	16	5	.	.	PROPN
ajst-14944	16	6	proposed	propose	VERB
ajst-14944	16	7	an	an	DET
ajst-14944	16	8	improved	improved	ADJ
ajst-14944	16	9	yolov4	yolov4	NOUN
ajst-14944	16	10	steel	steel	NOUN
ajst-14944	16	11	surface	surface	NOUN
ajst-14944	16	12	defect	defect	NOUN
ajst-14944	16	13	detection	detection	NOUN
ajst-14944	16	14	method	method	NOUN
ajst-14944	16	15	to	to	PART
ajst-14944	16	16	address	address	VERB
ajst-14944	16	17	the	the	DET
ajst-14944	16	18	problem	problem	NOUN
ajst-14944	16	19	of	of	ADP
ajst-14944	16	20	low	low	ADJ
ajst-14944	16	21	accuracy	accuracy	NOUN
ajst-14944	16	22	of	of	ADP
ajst-14944	16	23	steel	steel	NOUN
ajst-14944	16	24	defects	defect	NOUN
ajst-14944	16	25	detection	detection	NOUN
ajst-14944	16	26	by	by	ADP
ajst-14944	16	27	embedding	embed	VERB
ajst-14944	16	28	the	the	DET
ajst-14944	16	29	attention	attention	NOUN
ajst-14944	16	30	mechanism	mechanism	NOUN
ajst-14944	16	31	into	into	ADP
ajst-14944	16	32	the	the	DET
ajst-14944	16	33	backbone	backbone	NOUN
ajst-14944	16	34	network	network	NOUN
ajst-14944	16	35	structure	structure	NOUN
ajst-14944	16	36	and	and	CCONJ
ajst-14944	16	37	modify	modify	VERB
ajst-14944	16	38	the	the	DET
ajst-14944	16	39	path	path	NOUN
ajst-14944	16	40	aggregation	aggregation	NOUN
ajst-14944	16	41	network	network	NOUN
ajst-14944	16	42	into	into	ADP
ajst-14944	16	43	a	a	DET
ajst-14944	16	44	customized	customized	ADJ
ajst-14944	16	45	feeling	feeling	NOUN
ajst-14944	16	46	field	field	NOUN
ajst-14944	16	47	structure	structure	NOUN
ajst-14944	16	48	,	,	PUNCT
ajst-14944	16	49	which	which	PRON
ajst-14944	16	50	enhances	enhance	VERB
ajst-14944	16	51	the	the	DET
ajst-14944	16	52	feature	feature	NOUN
ajst-14944	16	53	extraction	extraction	NOUN
ajst-14944	16	54	capability	capability	NOUN
ajst-14944	16	55	of	of	ADP
ajst-14944	16	56	the	the	DET
ajst-14944	16	57	network	network	NOUN
ajst-14944	16	58	model	model	NOUN
ajst-14944	16	59	and	and	CCONJ
ajst-14944	16	60	achieves	achieve	VERB
ajst-14944	16	61	an	an	DET
ajst-14944	16	62	average	average	ADJ
ajst-14944	16	63	accuracy	accuracy	NOUN
ajst-14944	16	64	of	of	ADP
ajst-14944	16	65	85.41	85.41	NUM
ajst-14944	16	66	%	%	NOUN
ajst-14944	16	67	for	for	ADP
ajst-14944	16	68	steel	steel	NOUN
ajst-14944	16	69	defect	defect	NOUN
ajst-14944	16	70	detection	detection	NOUN
ajst-14944	16	71	in	in	ADP
ajst-14944	16	72	four	four	NUM
ajst-14944	16	73	classes.chen[13	classes.chen[13	NOUN
ajst-14944	16	74	]	]	PUNCT
ajst-14944	16	75	et	et	PROPN
ajst-14944	16	76	al	al	PROPN
ajst-14944	16	77	.	.	PROPN
ajst-14944	16	78	proposed	propose	VERB
ajst-14944	16	79	a	a	DET
ajst-14944	16	80	strip	strip	NOUN
ajst-14944	16	81	steel	steel	NOUN
ajst-14944	16	82	surface	surface	NOUN
ajst-14944	16	83	defect	defect	NOUN
ajst-14944	16	84	detection	detection	NOUN
ajst-14944	16	85	network	network	NOUN
ajst-14944	16	86	based	base	VERB
ajst-14944	16	87	on	on	ADP
ajst-14944	16	88	deformation	deformation	NOUN
ajst-14944	16	89	convolution	convolution	NOUN
ajst-14944	16	90	and	and	CCONJ
ajst-14944	16	91	attention	attention	NOUN
ajst-14944	16	92	mechanism	mechanism	NOUN
ajst-14944	16	93	,	,	PUNCT
ajst-14944	16	94	which	which	PRON
ajst-14944	16	95	first	first	ADV
ajst-14944	16	96	enhances	enhance	VERB
ajst-14944	16	97	the	the	DET
ajst-14944	16	98	dataset	dataset	NOUN
ajst-14944	16	99	,	,	PUNCT
ajst-14944	16	100	and	and	CCONJ
ajst-14944	16	101	according	accord	VERB
ajst-14944	16	102	to	to	ADP
ajst-14944	16	103	the	the	DET
ajst-14944	16	104	proposed	propose	VERB
ajst-14944	16	105	novel	novel	NOUN
ajst-14944	16	106	enhanced	enhance	VERB
ajst-14944	16	107	deformation	deformation	NOUN
ajst-14944	16	108	feature	feature	NOUN
ajst-14944	16	109	extraction	extraction	NOUN
ajst-14944	16	110	block	block	NOUN
ajst-14944	16	111	and	and	CCONJ
ajst-14944	16	112	attention	attention	NOUN
ajst-14944	16	113	mechanism	mechanism	NOUN
ajst-14944	16	114	,	,	PUNCT
ajst-14944	16	115	the	the	DET
ajst-14944	16	116	the	the	DET
ajst-14944	16	117	average	average	ADJ
ajst-14944	16	118	accuracy	accuracy	NOUN
ajst-14944	16	119	of	of	ADP
ajst-14944	16	120	the	the	DET
ajst-14944	16	121	experimental	experimental	ADJ
ajst-14944	16	122	results	result	NOUN
ajst-14944	16	123	is	be	AUX
ajst-14944	16	124	82.6	82.6	NUM
ajst-14944	16	125	%	%	NOUN
ajst-14944	16	126	.	.	PUNCT
ajst-14944	17	1	zhang[14	zhang[14	PROPN
ajst-14944	17	2	]	]	X
ajst-14944	17	3	et	et	PROPN
ajst-14944	17	4	al	al	PROPN
ajst-14944	17	5	.	.	PROPN
ajst-14944	17	6	proposed	propose	VERB
ajst-14944	17	7	an	an	DET
ajst-14944	17	8	improved	improved	ADJ
ajst-14944	17	9	ppyoloe	ppyoloe	NOUN
ajst-14944	17	10	-	-	PUNCT
ajst-14944	17	11	m	m	PROPN
ajst-14944	17	12	's	's	PART
ajst-14944	17	13	network	network	NOUN
ajst-14944	17	14	for	for	ADP
ajst-14944	17	15	detecting	detect	VERB
ajst-14944	17	16	surface	surface	NOUN
ajst-14944	17	17	defects	defect	NOUN
ajst-14944	17	18	on	on	ADP
ajst-14944	17	19	strip	strip	NOUN
ajst-14944	17	20	steel	steel	NOUN
ajst-14944	17	21	,	,	PUNCT
ajst-14944	17	22	firstly	firstly	ADV
ajst-14944	17	23	data	datum	NOUN
ajst-14944	17	24	enhancement	enhancement	NOUN
ajst-14944	17	25	is	be	AUX
ajst-14944	17	26	performed	perform	VERB
ajst-14944	17	27	to	to	PART
ajst-14944	17	28	improve	improve	VERB
ajst-14944	17	29	the	the	DET
ajst-14944	17	30	generalization	generalization	NOUN
ajst-14944	17	31	ability	ability	NOUN
ajst-14944	17	32	of	of	ADP
ajst-14944	17	33	the	the	DET
ajst-14944	17	34	model	model	NOUN
ajst-14944	17	35	,	,	PUNCT
ajst-14944	17	36	secondly	secondly	ADV
ajst-14944	17	37	,	,	PUNCT
ajst-14944	17	38	the	the	DET
ajst-14944	17	39	coordinate	coordinate	NOUN
ajst-14944	17	40	attention	attention	NOUN
ajst-14944	17	41	is	be	AUX
ajst-14944	17	42	embedded	embed	VERB
ajst-14944	17	43	to	to	PART
ajst-14944	17	44	improve	improve	VERB
ajst-14944	17	45	the	the	DET
ajst-14944	17	46	feature	feature	NOUN
ajst-14944	17	47	extraction	extraction	NOUN
ajst-14944	17	48	ability	ability	NOUN
ajst-14944	17	49	of	of	ADP
ajst-14944	17	50	the	the	DET
ajst-14944	17	51	backbone	backbone	NOUN
ajst-14944	17	52	network	network	NOUN
ajst-14944	17	53	,	,	PUNCT
ajst-14944	17	54	and	and	CCONJ
ajst-14944	17	55	finally	finally	ADV
ajst-14944	17	56	the	the	DET
ajst-14944	17	57	sensory	sensory	ADJ
ajst-14944	17	58	field	field	NOUN
ajst-14944	17	59	is	be	AUX
ajst-14944	17	60	broadened	broaden	VERB
ajst-14944	17	61	by	by	ADP
ajst-14944	17	62	using	use	VERB
ajst-14944	17	63	a	a	DET
ajst-14944	17	64	multi	multi	ADJ
ajst-14944	17	65	-	-	ADJ
ajst-14944	17	66	scale	scale	ADJ
ajst-14944	17	67	network	network	NOUN
ajst-14944	17	68	,	,	PUNCT
ajst-14944	17	69	and	and	CCONJ
ajst-14944	17	70	the	the	DET
ajst-14944	17	71	results	result	NOUN
ajst-14944	17	72	show	show	VERB
ajst-14944	17	73	that	that	SCONJ
ajst-14944	17	74	the	the	DET
ajst-14944	17	75	average	average	ADJ
ajst-14944	17	76	accuracy	accuracy	NOUN
ajst-14944	17	77	is	be	AUX
ajst-14944	17	78	80.3	80.3	NUM
ajst-14944	17	79	%	%	NOUN
ajst-14944	17	80	.	.	PUNCT
ajst-14944	18	1	zhao[15]et	zhao[15]et	PROPN
ajst-14944	18	2	al	al	PROPN
ajst-14944	18	3	.	.	PROPN
ajst-14944	18	4	proposed	propose	VERB
ajst-14944	18	5	a	a	DET
ajst-14944	18	6	steel	steel	NOUN
ajst-14944	18	7	surface	surface	NOUN
ajst-14944	18	8	defect	defect	NOUN
ajst-14944	18	9	detection	detection	NOUN
ajst-14944	18	10	method	method	NOUN
ajst-14944	18	11	with	with	ADP
ajst-14944	18	12	rddyolo	rddyolo	NOUN
ajst-14944	18	13	based	base	VERB
ajst-14944	18	14	on	on	ADP
ajst-14944	18	15	the	the	DET
ajst-14944	18	16	yolov5	yolov5	NOUN
ajst-14944	18	17	model	model	NOUN
ajst-14944	18	18	,	,	PUNCT
ajst-14944	18	19	the	the	DET
ajst-14944	18	20	backbone	backbone	NOUN
ajst-14944	18	21	network	network	NOUN
ajst-14944	18	22	used	use	VERB
ajst-14944	18	23	res2net	res2net	NOUN
ajst-14944	18	24	to	to	PART
ajst-14944	18	25	widen	widen	VERB
ajst-14944	18	26	the	the	DET
ajst-14944	18	27	receptive	receptive	ADJ
ajst-14944	18	28	field	field	NOUN
ajst-14944	18	29	,	,	PUNCT
ajst-14944	18	30	and	and	CCONJ
ajst-14944	18	31	bfpn	bfpn	PROPN
ajst-14944	18	32	was	be	AUX
ajst-14944	18	33	designed	design	VERB
ajst-14944	18	34	to	to	PART
ajst-14944	18	35	enhance	enhance	VERB
ajst-14944	18	36	the	the	DET
ajst-14944	18	37	neck	neck	NOUN
ajst-14944	18	38	network	network	NOUN
ajst-14944	18	39	,	,	PUNCT
ajst-14944	18	40	and	and	CCONJ
ajst-14944	18	41	finally	finally	ADV
ajst-14944	18	42	the	the	DET
ajst-14944	18	43	separation	separation	NOUN
ajst-14944	18	44	of	of	ADP
ajst-14944	18	45	decoupled	decouple	VERB
ajst-14944	18	46	headers	header	NOUN
ajst-14944	18	47	,	,	PUNCT
ajst-14944	18	48	and	and	CCONJ
ajst-14944	18	49	the	the	DET
ajst-14944	18	50	experimental	experimental	ADJ
ajst-14944	18	51	results	result	NOUN
ajst-14944	18	52	showed	show	VERB
ajst-14944	18	53	an	an	DET
ajst-14944	18	54	average	average	ADJ
ajst-14944	18	55	accuracy	accuracy	NOUN
ajst-14944	18	56	of	of	ADP
ajst-14944	18	57	81.1%.wang[16]et	81.1%.wang[16]et	PROPN
ajst-14944	18	58	al	al	PROPN
ajst-14944	18	59	.	.	PROPN
ajst-14944	18	60	proposed	propose	VERB
ajst-14944	18	61	an	an	DET
ajst-14944	18	62	improved	improved	ADJ
ajst-14944	18	63	yolov7	yolov7	NOUN
ajst-14944	18	64	steel	steel	NOUN
ajst-14944	18	65	surface	surface	NOUN
ajst-14944	18	66	defect	defect	NOUN
ajst-14944	18	67	detection	detection	NOUN
ajst-14944	18	68	method	method	NOUN
ajst-14944	18	69	,	,	PUNCT
ajst-14944	18	70	which	which	PRON
ajst-14944	18	71	first	first	ADV
ajst-14944	18	72	uses	use	VERB
ajst-14944	18	73	bifpn	bifpn	PROPN
ajst-14944	18	74	structure	structure	NOUN
ajst-14944	18	75	to	to	PART
ajst-14944	18	76	strengthen	strengthen	VERB
ajst-14944	18	77	the	the	DET
ajst-14944	18	78	feature	feature	NOUN
ajst-14944	18	79	fusion	fusion	NOUN
ajst-14944	18	80	,	,	PUNCT
ajst-14944	18	81	and	and	CCONJ
ajst-14944	18	82	combines	combine	VERB
ajst-14944	18	83	the	the	DET
ajst-14944	18	84	eca	eca	NOUN
ajst-14944	18	85	attention	attention	NOUN
ajst-14944	18	86	mechanism	mechanism	NOUN
ajst-14944	18	87	to	to	PART
ajst-14944	18	88	strengthen	strengthen	VERB
ajst-14944	18	89	the	the	DET
ajst-14944	18	90	feature	feature	NOUN
ajst-14944	18	91	channel	channel	NOUN
ajst-14944	18	92	,	,	PUNCT
ajst-14944	18	93	and	and	CCONJ
ajst-14944	18	94	finally	finally	ADV
ajst-14944	18	95	uses	use	VERB
ajst-14944	18	96	the	the	DET
ajst-14944	18	97	siou	siou	NOUN
ajst-14944	18	98	loss	loss	NOUN
ajst-14944	18	99	function	function	NOUN
ajst-14944	18	100	to	to	PART
ajst-14944	18	101	improve	improve	VERB
ajst-14944	18	102	the	the	DET
ajst-14944	18	103	detection	detection	NOUN
ajst-14944	18	104	accuracy	accuracy	NOUN
ajst-14944	18	105	,	,	PUNCT
ajst-14944	18	106	and	and	CCONJ
ajst-14944	18	107	the	the	DET
ajst-14944	18	108	experimental	experimental	ADJ
ajst-14944	18	109	results	result	NOUN
ajst-14944	18	110	show	show	VERB
ajst-14944	18	111	that	that	SCONJ
ajst-14944	18	112	the	the	DET
ajst-14944	18	113	average	average	ADJ
ajst-14944	18	114	accuracy	accuracy	NOUN
ajst-14944	18	115	is	be	AUX
ajst-14944	18	116	81.9	81.9	NUM
ajst-14944	18	117	%	%	NOUN
ajst-14944	18	118	.	.	PUNCT
ajst-14944	19	1	although	although	SCONJ
ajst-14944	19	2	the	the	DET
ajst-14944	19	3	above	above	ADJ
ajst-14944	19	4	improved	improved	ADJ
ajst-14944	19	5	method	method	NOUN
ajst-14944	19	6	has	have	AUX
ajst-14944	19	7	achieved	achieve	VERB
ajst-14944	19	8	better	well	ADJ
ajst-14944	19	9	results	result	NOUN
ajst-14944	19	10	in	in	ADP
ajst-14944	19	11	steel	steel	NOUN
ajst-14944	19	12	surface	surface	NOUN
ajst-14944	19	13	defect	defect	NOUN
ajst-14944	19	14	detection	detection	NOUN
ajst-14944	19	15	,	,	PUNCT
ajst-14944	19	16	the	the	DET
ajst-14944	19	17	performance	performance	NOUN
ajst-14944	19	18	of	of	ADP
ajst-14944	19	19	the	the	DET
ajst-14944	19	20	network	network	NOUN
ajst-14944	19	21	model	model	NOUN
ajst-14944	19	22	is	be	AUX
ajst-14944	19	23	still	still	ADV
ajst-14944	19	24	to	to	PART
ajst-14944	19	25	be	be	AUX
ajst-14944	19	26	improved	improve	VERB
ajst-14944	19	27	,	,	PUNCT
ajst-14944	19	28	and	and	CCONJ
ajst-14944	19	29	the	the	DET
ajst-14944	19	30	number	number	NOUN
ajst-14944	19	31	of	of	ADP
ajst-14944	19	32	parameters	parameter	NOUN
ajst-14944	19	33	and	and	CCONJ
ajst-14944	19	34	computational	computational	ADJ
ajst-14944	19	35	volume	volume	NOUN
ajst-14944	19	36	of	of	ADP
ajst-14944	19	37	the	the	DET
ajst-14944	19	38	model	model	NOUN
ajst-14944	19	39	are	be	AUX
ajst-14944	19	40	relatively	relatively	ADV
ajst-14944	19	41	large	large	ADJ
ajst-14944	19	42	,	,	PUNCT
ajst-14944	19	43	which	which	PRON
ajst-14944	19	44	is	be	AUX
ajst-14944	19	45	not	not	PART
ajst-14944	19	46	easy	easy	ADJ
ajst-14944	19	47	to	to	PART
ajst-14944	19	48	be	be	AUX
ajst-14944	19	49	deployed	deploy	VERB
ajst-14944	19	50	in	in	ADP
ajst-14944	19	51	embedded	embed	VERB
ajst-14944	19	52	and	and	CCONJ
ajst-14944	19	53	other	other	ADJ
ajst-14944	19	54	devices	device	NOUN
ajst-14944	19	55	.	.	PUNCT
ajst-14944	20	1	in	in	ADP
ajst-14944	20	2	summary	summary	NOUN
ajst-14944	20	3	,	,	PUNCT
ajst-14944	20	4	the	the	DET
ajst-14944	20	5	main	main	ADJ
ajst-14944	20	6	contributions	contribution	NOUN
ajst-14944	20	7	of	of	ADP
ajst-14944	20	8	the	the	DET
ajst-14944	20	9	steel	steel	NOUN
ajst-14944	20	10	surface	surface	NOUN
ajst-14944	20	11	defect	defect	NOUN
ajst-14944	20	12	detection	detection	NOUN
ajst-14944	20	13	method	method	NOUN
ajst-14944	20	14	based	base	VERB
ajst-14944	20	15	on	on	ADP
ajst-14944	20	16	improved	improved	ADJ
ajst-14944	20	17	yolov8	yolov8	NOUN
ajst-14944	20	18	proposed	propose	VERB
ajst-14944	20	19	in	in	ADP
ajst-14944	20	20	this	this	DET
ajst-14944	20	21	paper	paper	NOUN
ajst-14944	20	22	are	be	AUX
ajst-14944	20	23	as	as	SCONJ
ajst-14944	20	24	follows	follow	VERB
ajst-14944	20	25	:	:	PUNCT
ajst-14944	20	26	(	(	PUNCT
ajst-14944	20	27	1	1	X
ajst-14944	20	28	)	)	PUNCT
ajst-14944	20	29	using	use	VERB
ajst-14944	20	30	the	the	DET
ajst-14944	20	31	dbb[17	dbb[17	PROPN
ajst-14944	20	32	]	]	PUNCT
ajst-14944	20	33	module	module	NOUN
ajst-14944	20	34	to	to	PART
ajst-14944	20	35	replace	replace	VERB
ajst-14944	20	36	the	the	DET
ajst-14944	20	37	botteneck	botteneck	NOUN
ajst-14944	20	38	module	module	NOUN
ajst-14944	20	39	in	in	ADP
ajst-14944	20	40	c2f	c2f	NOUN
ajst-14944	20	41	to	to	PART
ajst-14944	20	42	enhance	enhance	VERB
ajst-14944	20	43	the	the	DET
ajst-14944	20	44	network	network	NOUN
ajst-14944	20	45	's	's	PART
ajst-14944	20	46	ability	ability	NOUN
ajst-14944	20	47	to	to	PART
ajst-14944	20	48	extract	extract	VERB
ajst-14944	20	49	multi	multi	ADJ
ajst-14944	20	50	-	-	ADJ
ajst-14944	20	51	scale	scale	ADJ
ajst-14944	20	52	defect	defect	NOUN
ajst-14944	20	53	features	feature	NOUN
ajst-14944	20	54	and	and	CCONJ
ajst-14944	20	55	improve	improve	VERB
ajst-14944	20	56	the	the	DET
ajst-14944	20	57	performance	performance	NOUN
ajst-14944	20	58	of	of	ADP
ajst-14944	20	59	the	the	DET
ajst-14944	20	60	model	model	NOUN
ajst-14944	20	61	.	.	PUNCT
ajst-14944	21	1	(	(	PUNCT
ajst-14944	21	2	2	2	X
ajst-14944	21	3	)	)	PUNCT
ajst-14944	21	4	add	add	VERB
ajst-14944	21	5	the	the	DET
ajst-14944	21	6	msca[18	msca[18	NOUN
ajst-14944	21	7	]	]	PUNCT
ajst-14944	21	8	attention	attention	NOUN
ajst-14944	21	9	mechanism	mechanism	NOUN
ajst-14944	21	10	to	to	ADP
ajst-14944	21	11	the	the	DET
ajst-14944	21	12	backbone	backbone	NOUN
ajst-14944	21	13	51	51	NUM
ajst-14944	21	14	network	network	NOUN
ajst-14944	21	15	to	to	PART
ajst-14944	21	16	improve	improve	VERB
ajst-14944	21	17	the	the	DET
ajst-14944	21	18	detection	detection	NOUN
ajst-14944	21	19	accuracy	accuracy	NOUN
ajst-14944	21	20	of	of	ADP
ajst-14944	21	21	steel	steel	NOUN
ajst-14944	21	22	surface	surface	NOUN
ajst-14944	21	23	defects	defect	NOUN
ajst-14944	21	24	and	and	CCONJ
ajst-14944	21	25	reduce	reduce	VERB
ajst-14944	21	26	the	the	DET
ajst-14944	21	27	false	false	ADJ
ajst-14944	21	28	detection	detection	NOUN
ajst-14944	21	29	rate	rate	NOUN
ajst-14944	21	30	and	and	CCONJ
ajst-14944	21	31	leakage	leakage	NOUN
ajst-14944	21	32	rate	rate	NOUN
ajst-14944	21	33	.	.	PUNCT
ajst-14944	22	1	(	(	PUNCT
ajst-14944	22	2	3	3	X
ajst-14944	22	3	)	)	PUNCT
ajst-14944	22	4	improve	improve	VERB
ajst-14944	22	5	the	the	DET
ajst-14944	22	6	detect	detect	NOUN
ajst-14944	22	7	part	part	NOUN
ajst-14944	22	8	of	of	ADP
ajst-14944	22	9	the	the	DET
ajst-14944	22	10	original	original	ADJ
ajst-14944	22	11	yolov8	yolov8	NOUN
ajst-14944	22	12	network	network	NOUN
ajst-14944	22	13	by	by	ADP
ajst-14944	22	14	proposing	propose	VERB
ajst-14944	22	15	the	the	DET
ajst-14944	22	16	gdetect	gdetect	NOUN
ajst-14944	22	17	module	module	NOUN
ajst-14944	22	18	,	,	PUNCT
ajst-14944	22	19	which	which	PRON
ajst-14944	22	20	reduces	reduce	VERB
ajst-14944	22	21	the	the	DET
ajst-14944	22	22	number	number	NOUN
ajst-14944	22	23	of	of	ADP
ajst-14944	22	24	parameters	parameter	NOUN
ajst-14944	22	25	and	and	CCONJ
ajst-14944	22	26	computation	computation	NOUN
ajst-14944	22	27	of	of	ADP
ajst-14944	22	28	the	the	DET
ajst-14944	22	29	network	network	NOUN
ajst-14944	22	30	,	,	PUNCT
ajst-14944	22	31	and	and	CCONJ
ajst-14944	22	32	improves	improve	VERB
ajst-14944	22	33	the	the	DET
ajst-14944	22	34	detection	detection	NOUN
ajst-14944	22	35	accuracy	accuracy	NOUN
ajst-14944	22	36	and	and	CCONJ
ajst-14944	22	37	efficiency	efficiency	NOUN
ajst-14944	22	38	.	.	PUNCT
ajst-14944	23	1	2	2	X
ajst-14944	23	2	.	.	X
ajst-14944	23	3	improve	improve	VERB
ajst-14944	23	4	yolov8	yolov8	NOUN
ajst-14944	23	5	network	network	NOUN
ajst-14944	23	6	structure	structure	NOUN
ajst-14944	23	7	2.1	2.1	NUM
ajst-14944	23	8	.	.	PUNCT
ajst-14944	24	1	improved	improve	VERB
ajst-14944	24	2	yolov8	yolov8	NOUN
ajst-14944	24	3	network	network	NOUN
ajst-14944	24	4	the	the	DET
ajst-14944	24	5	yolov8	yolov8	NOUN
ajst-14944	24	6	model	model	NOUN
ajst-14944	24	7	is	be	AUX
ajst-14944	24	8	composed	compose	VERB
ajst-14944	24	9	of	of	ADP
ajst-14944	24	10	backbone	backbone	NOUN
ajst-14944	24	11	,	,	PUNCT
ajst-14944	24	12	neck	neck	NOUN
ajst-14944	24	13	and	and	CCONJ
ajst-14944	24	14	head	head	NOUN
ajst-14944	24	15	.	.	PUNCT
ajst-14944	25	1	yolov8	yolov8	PROPN
ajst-14944	25	2	's	's	PART
ajst-14944	25	3	backbone	backbone	NOUN
ajst-14944	25	4	still	still	ADV
ajst-14944	25	5	uses	use	VERB
ajst-14944	25	6	the	the	DET
ajst-14944	25	7	design	design	NOUN
ajst-14944	25	8	idea	idea	NOUN
ajst-14944	25	9	of	of	ADP
ajst-14944	25	10	csp	csp	PROPN
ajst-14944	25	11	,	,	PUNCT
ajst-14944	25	12	and	and	CCONJ
ajst-14944	25	13	designed	design	VERB
ajst-14944	25	14	the	the	DET
ajst-14944	25	15	c2f	c2f	NOUN
ajst-14944	25	16	module	module	NOUN
ajst-14944	25	17	.	.	PUNCT
ajst-14944	26	1	in	in	ADP
ajst-14944	26	2	the	the	DET
ajst-14944	26	3	c2f	c2f	NOUN
ajst-14944	26	4	module	module	NOUN
ajst-14944	26	5	,	,	PUNCT
ajst-14944	26	6	only	only	ADV
ajst-14944	26	7	onehalf	onehalf	NOUN
ajst-14944	26	8	of	of	ADP
ajst-14944	26	9	the	the	DET
ajst-14944	26	10	number	number	NOUN
ajst-14944	26	11	of	of	ADP
ajst-14944	26	12	channels	channel	NOUN
ajst-14944	26	13	in	in	ADP
ajst-14944	26	14	each	each	DET
ajst-14944	26	15	layer	layer	NOUN
ajst-14944	26	16	is	be	AUX
ajst-14944	26	17	used	use	VERB
ajst-14944	26	18	for	for	ADP
ajst-14944	26	19	calculation	calculation	NOUN
ajst-14944	26	20	,	,	PUNCT
ajst-14944	26	21	and	and	CCONJ
ajst-14944	26	22	the	the	DET
ajst-14944	26	23	other	other	ADJ
ajst-14944	26	24	half	half	NOUN
ajst-14944	26	25	of	of	ADP
ajst-14944	26	26	the	the	DET
ajst-14944	26	27	channel	channel	NOUN
ajst-14944	26	28	features	feature	NOUN
ajst-14944	26	29	are	be	AUX
ajst-14944	26	30	connected	connect	VERB
ajst-14944	26	31	across	across	ADP
ajst-14944	26	32	layers	layer	NOUN
ajst-14944	26	33	,	,	PUNCT
ajst-14944	26	34	making	make	VERB
ajst-14944	26	35	the	the	DET
ajst-14944	26	36	c2f	c2f	NOUN
ajst-14944	26	37	module	module	NOUN
ajst-14944	26	38	richer	rich	ADJ
ajst-14944	26	39	gradient	gradient	NOUN
ajst-14944	26	40	flow	flow	NOUN
ajst-14944	26	41	and	and	CCONJ
ajst-14944	26	42	less	less	ADJ
ajst-14944	26	43	computation	computation	NOUN
ajst-14944	26	44	.	.	PUNCT
ajst-14944	27	1	the	the	DET
ajst-14944	27	2	dual	dual	ADJ
ajst-14944	27	3	-	-	PUNCT
ajst-14944	27	4	stream	stream	NOUN
ajst-14944	27	5	fpn	fpn	NOUN
ajst-14944	27	6	structure	structure	NOUN
ajst-14944	27	7	is	be	AUX
ajst-14944	27	8	used	use	VERB
ajst-14944	27	9	in	in	ADP
ajst-14944	27	10	the	the	DET
ajst-14944	27	11	neck	neck	NOUN
ajst-14944	27	12	part	part	NOUN
ajst-14944	27	13	,	,	PUNCT
ajst-14944	27	14	which	which	PRON
ajst-14944	27	15	can	can	AUX
ajst-14944	27	16	efficiently	efficiently	ADV
ajst-14944	27	17	extract	extract	VERB
ajst-14944	27	18	features	feature	NOUN
ajst-14944	27	19	and	and	CCONJ
ajst-14944	27	20	speed	speed	VERB
ajst-14944	27	21	up	up	ADP
ajst-14944	27	22	module	module	NOUN
ajst-14944	27	23	operation	operation	NOUN
ajst-14944	27	24	.	.	PUNCT
ajst-14944	28	1	the	the	DET
ajst-14944	28	2	head	head	NOUN
ajst-14944	28	3	part	part	NOUN
ajst-14944	28	4	uses	use	VERB
ajst-14944	28	5	classification	classification	NOUN
ajst-14944	28	6	and	and	CCONJ
ajst-14944	28	7	regression	regression	VERB
ajst-14944	28	8	decoupling	decouple	VERB
ajst-14944	28	9	heads	head	NOUN
ajst-14944	28	10	instead	instead	ADV
ajst-14944	28	11	of	of	ADP
ajst-14944	28	12	coupling	couple	VERB
ajst-14944	28	13	heads	head	NOUN
ajst-14944	28	14	.	.	PUNCT
ajst-14944	29	1	the	the	DET
ajst-14944	29	2	classification	classification	NOUN
ajst-14944	29	3	loss	loss	NOUN
ajst-14944	29	4	uses	use	VERB
ajst-14944	29	5	bce_loss	bce_loss	PROPN
ajst-14944	29	6	,	,	PUNCT
ajst-14944	29	7	and	and	CCONJ
ajst-14944	29	8	the	the	DET
ajst-14944	29	9	regression	regression	NOUN
ajst-14944	29	10	loss	loss	NOUN
ajst-14944	29	11	uses	use	VERB
ajst-14944	29	12	distribution	distribution	NOUN
ajst-14944	29	13	focal	focal	ADJ
ajst-14944	29	14	loss+ciou	loss+ciou	PROPN
ajst-14944	29	15	loss	loss	NOUN
ajst-14944	29	16	.	.	PUNCT
ajst-14944	30	1	dfl	dfl	PROPN
ajst-14944	30	2	loss	loss	NOUN
ajst-14944	30	3	can	can	AUX
ajst-14944	30	4	solve	solve	VERB
ajst-14944	30	5	the	the	DET
ajst-14944	30	6	problem	problem	NOUN
ajst-14944	30	7	of	of	ADP
ajst-14944	30	8	sample	sample	NOUN
ajst-14944	30	9	imbalance	imbalance	NOUN
ajst-14944	30	10	and	and	CCONJ
ajst-14944	30	11	replaces	replace	VERB
ajst-14944	30	12	the	the	DET
ajst-14944	30	13	anchor	anchor	NOUN
ajst-14944	30	14	-	-	PUNCT
ajst-14944	30	15	based	base	VERB
ajst-14944	30	16	method	method	NOUN
ajst-14944	30	17	of	of	ADP
ajst-14944	30	18	the	the	DET
ajst-14944	30	19	traditional	traditional	ADJ
ajst-14944	30	20	yolo	yolo	ADJ
ajst-14944	30	21	algorithm	algorithm	NOUN
ajst-14944	30	22	with	with	ADP
ajst-14944	30	23	anchor	anchor	NOUN
ajst-14944	30	24	-	-	PUNCT
ajst-14944	30	25	free	free	ADJ
ajst-14944	30	26	.	.	PUNCT
ajst-14944	31	1	use	use	VERB
ajst-14944	31	2	the	the	DET
ajst-14944	31	3	dynamic	dynamic	ADJ
ajst-14944	31	4	sample	sample	NOUN
ajst-14944	31	5	allocation	allocation	NOUN
ajst-14944	31	6	strategy	strategy	NOUN
ajst-14944	31	7	task	task	NOUN
ajst-14944	31	8	-	-	PUNCT
ajst-14944	31	9	alignedassigner	alignedassigner	NOUN
ajst-14944	31	10	to	to	PART
ajst-14944	31	11	make	make	VERB
ajst-14944	31	12	the	the	DET
ajst-14944	31	13	network	network	NOUN
ajst-14944	31	14	pay	pay	VERB
ajst-14944	31	15	more	more	ADJ
ajst-14944	31	16	attention	attention	NOUN
ajst-14944	31	17	to	to	ADP
ajst-14944	31	18	high	high	ADJ
ajst-14944	31	19	-	-	PUNCT
ajst-14944	31	20	quality	quality	NOUN
ajst-14944	31	21	anchor	anchor	NOUN
ajst-14944	31	22	boxes	box	NOUN
ajst-14944	31	23	.	.	PUNCT
ajst-14944	32	1	as	as	SCONJ
ajst-14944	32	2	shown	show	VERB
ajst-14944	32	3	in	in	ADP
ajst-14944	32	4	figure	figure	NOUN
ajst-14944	32	5	1	1	NUM
ajst-14944	32	6	,	,	PUNCT
ajst-14944	32	7	this	this	DET
ajst-14944	32	8	article	article	NOUN
ajst-14944	32	9	first	first	ADV
ajst-14944	32	10	replaces	replace	VERB
ajst-14944	32	11	all	all	DET
ajst-14944	32	12	c2f	c2f	NOUN
ajst-14944	32	13	in	in	ADP
ajst-14944	32	14	the	the	DET
ajst-14944	32	15	original	original	ADJ
ajst-14944	32	16	yolov8	yolov8	NOUN
ajst-14944	32	17	with	with	ADP
ajst-14944	32	18	c2f_dbb	c2f_dbb	NOUN
ajst-14944	32	19	integrated	integrate	VERB
ajst-14944	32	20	with	with	ADP
ajst-14944	32	21	the	the	DET
ajst-14944	32	22	dbb	dbb	PROPN
ajst-14944	32	23	module	module	NOUN
ajst-14944	32	24	to	to	PART
ajst-14944	32	25	improve	improve	VERB
ajst-14944	32	26	the	the	DET
ajst-14944	32	27	feature	feature	NOUN
ajst-14944	32	28	extraction	extraction	NOUN
ajst-14944	32	29	capability	capability	NOUN
ajst-14944	32	30	of	of	ADP
ajst-14944	32	31	the	the	DET
ajst-14944	32	32	network	network	NOUN
ajst-14944	32	33	.	.	PUNCT
ajst-14944	33	1	then	then	ADV
ajst-14944	33	2	the	the	DET
ajst-14944	33	3	msca	msca	NOUN
ajst-14944	33	4	attention	attention	NOUN
ajst-14944	33	5	mechanism	mechanism	NOUN
ajst-14944	33	6	was	be	AUX
ajst-14944	33	7	added	add	VERB
ajst-14944	33	8	to	to	ADP
ajst-14944	33	9	the	the	DET
ajst-14944	33	10	backbone	backbone	NOUN
ajst-14944	33	11	part	part	NOUN
ajst-14944	33	12	to	to	PART
ajst-14944	33	13	improve	improve	VERB
ajst-14944	33	14	the	the	DET
ajst-14944	33	15	detection	detection	NOUN
ajst-14944	33	16	accuracy	accuracy	NOUN
ajst-14944	33	17	of	of	ADP
ajst-14944	33	18	the	the	DET
ajst-14944	33	19	network	network	NOUN
ajst-14944	33	20	.	.	PUNCT
ajst-14944	34	1	finally	finally	ADV
ajst-14944	34	2	,	,	PUNCT
ajst-14944	34	3	the	the	DET
ajst-14944	34	4	improved	improved	ADJ
ajst-14944	34	5	gdetect	gdetect	NOUN
ajst-14944	34	6	part	part	NOUN
ajst-14944	34	7	replaces	replace	VERB
ajst-14944	34	8	the	the	DET
ajst-14944	34	9	original	original	ADJ
ajst-14944	34	10	detect	detect	NOUN
ajst-14944	34	11	part	part	NOUN
ajst-14944	34	12	to	to	PART
ajst-14944	34	13	improve	improve	VERB
ajst-14944	34	14	the	the	DET
ajst-14944	34	15	performance	performance	NOUN
ajst-14944	34	16	of	of	ADP
ajst-14944	34	17	the	the	DET
ajst-14944	34	18	network	network	NOUN
ajst-14944	34	19	and	and	CCONJ
ajst-14944	34	20	reduce	reduce	VERB
ajst-14944	34	21	the	the	DET
ajst-14944	34	22	amount	amount	NOUN
ajst-14944	34	23	of	of	ADP
ajst-14944	34	24	parameters	parameter	NOUN
ajst-14944	34	25	and	and	CCONJ
ajst-14944	34	26	calculations	calculation	NOUN
ajst-14944	34	27	.	.	PUNCT
ajst-14944	35	1	figure	figure	NOUN
ajst-14944	35	2	.	.	PUNCT
ajst-14944	36	1	1	1	NUM
ajst-14944	36	2	improved	improve	VERB
ajst-14944	36	3	yolov8	yolov8	NOUN
ajst-14944	36	4	network	network	NOUN
ajst-14944	36	5	structure	structure	PROPN
ajst-14944	36	6	diagram	diagram	PROPN
ajst-14944	36	7	2.2	2.2	NUM
ajst-14944	36	8	.	.	PUNCT
ajst-14944	37	1	dbb	dbb	PROPN
ajst-14944	37	2	module	module	NOUN
ajst-14944	37	3	the	the	DET
ajst-14944	37	4	botteneck	botteneck	NOUN
ajst-14944	37	5	module	module	NOUN
ajst-14944	37	6	of	of	ADP
ajst-14944	37	7	c2f	c2f	NOUN
ajst-14944	37	8	in	in	ADP
ajst-14944	37	9	the	the	DET
ajst-14944	37	10	original	original	ADJ
ajst-14944	37	11	yolov8	yolov8	NOUN
ajst-14944	37	12	network	network	NOUN
ajst-14944	37	13	is	be	AUX
ajst-14944	37	14	usually	usually	ADV
ajst-14944	37	15	used	use	VERB
ajst-14944	37	16	to	to	PART
ajst-14944	37	17	reduce	reduce	VERB
ajst-14944	37	18	the	the	DET
ajst-14944	37	19	feature	feature	NOUN
ajst-14944	37	20	dimension	dimension	NOUN
ajst-14944	37	21	.	.	PUNCT
ajst-14944	38	1	however	however	ADV
ajst-14944	38	2	,	,	PUNCT
ajst-14944	38	3	it	it	PRON
ajst-14944	38	4	may	may	AUX
ajst-14944	38	5	limit	limit	VERB
ajst-14944	38	6	the	the	DET
ajst-14944	38	7	model	model	NOUN
ajst-14944	38	8	's	's	PART
ajst-14944	38	9	ability	ability	NOUN
ajst-14944	38	10	to	to	PART
ajst-14944	38	11	express	express	VERB
ajst-14944	38	12	features	feature	NOUN
ajst-14944	38	13	because	because	SCONJ
ajst-14944	38	14	the	the	DET
ajst-14944	38	15	convolution	convolution	NOUN
ajst-14944	38	16	operation	operation	NOUN
ajst-14944	38	17	inside	inside	ADV
ajst-14944	38	18	may	may	AUX
ajst-14944	38	19	lose	lose	VERB
ajst-14944	38	20	some	some	DET
ajst-14944	38	21	spatial	spatial	ADJ
ajst-14944	38	22	information	information	NOUN
ajst-14944	38	23	.	.	PUNCT
ajst-14944	39	1	in	in	ADP
ajst-14944	39	2	the	the	DET
ajst-14944	39	3	steel	steel	NOUN
ajst-14944	39	4	surface	surface	NOUN
ajst-14944	39	5	defect	defect	NOUN
ajst-14944	39	6	data	datum	NOUN
ajst-14944	39	7	set	set	VERB
ajst-14944	39	8	,	,	PUNCT
ajst-14944	39	9	due	due	ADP
ajst-14944	39	10	to	to	ADP
ajst-14944	39	11	the	the	DET
ajst-14944	39	12	diversification	diversification	NOUN
ajst-14944	39	13	of	of	ADP
ajst-14944	39	14	defect	defect	NOUN
ajst-14944	39	15	scales	scale	NOUN
ajst-14944	39	16	,	,	PUNCT
ajst-14944	39	17	the	the	DET
ajst-14944	39	18	original	original	ADJ
ajst-14944	39	19	botteneck	botteneck	NOUN
ajst-14944	39	20	module	module	NOUN
ajst-14944	39	21	does	do	AUX
ajst-14944	39	22	not	not	PART
ajst-14944	39	23	perform	perform	VERB
ajst-14944	39	24	well	well	ADV
ajst-14944	39	25	in	in	ADP
ajst-14944	39	26	extracting	extract	VERB
ajst-14944	39	27	multi	multi	ADJ
ajst-14944	39	28	-	-	ADJ
ajst-14944	39	29	scale	scale	ADJ
ajst-14944	39	30	features	feature	NOUN
ajst-14944	39	31	of	of	ADP
ajst-14944	39	32	defects	defect	NOUN
ajst-14944	39	33	,	,	PUNCT
ajst-14944	39	34	resulting	result	VERB
ajst-14944	39	35	in	in	ADP
ajst-14944	39	36	a	a	DET
ajst-14944	39	37	decrease	decrease	NOUN
ajst-14944	39	38	in	in	ADP
ajst-14944	39	39	accuracy	accuracy	NOUN
ajst-14944	39	40	and	and	CCONJ
ajst-14944	39	41	efficiency	efficiency	NOUN
ajst-14944	39	42	.	.	PUNCT
ajst-14944	40	1	the	the	DET
ajst-14944	40	2	dbb	dbb	PROPN
ajst-14944	40	3	module	module	NOUN
ajst-14944	40	4	draws	draw	VERB
ajst-14944	40	5	on	on	ADP
ajst-14944	40	6	the	the	DET
ajst-14944	40	7	reparameterization	reparameterization	NOUN
ajst-14944	40	8	ideas	idea	NOUN
ajst-14944	40	9	of	of	ADP
ajst-14944	40	10	repvgg[19	repvgg[19	NOUN
ajst-14944	40	11	]	]	PUNCT
ajst-14944	40	12	,	,	PUNCT
ajst-14944	40	13	expandnet[20	expandnet[20	NOUN
ajst-14944	40	14	]	]	PUNCT
ajst-14944	40	15	,	,	PUNCT
ajst-14944	40	16	doconv[21]and	doconv[21]and	NOUN
ajst-14944	40	17	acnet[22]to	acnet[22]to	PROPN
ajst-14944	40	18	enrich	enrich	VERB
ajst-14944	40	19	the	the	DET
ajst-14944	40	20	features	feature	NOUN
ajst-14944	40	21	of	of	ADP
ajst-14944	40	22	a	a	DET
ajst-14944	40	23	single	single	ADJ
ajst-14944	40	24	convolution	convolution	NOUN
ajst-14944	40	25	by	by	ADP
ajst-14944	40	26	combining	combine	VERB
ajst-14944	40	27	multiple	multiple	ADJ
ajst-14944	40	28	branches	branch	NOUN
ajst-14944	40	29	with	with	ADP
ajst-14944	40	30	different	different	ADJ
ajst-14944	40	31	scales	scale	NOUN
ajst-14944	40	32	and	and	CCONJ
ajst-14944	40	33	complexity	complexity	NOUN
ajst-14944	40	34	.	.	PUNCT
ajst-14944	41	1	space	space	NOUN
ajst-14944	41	2	,	,	PUNCT
ajst-14944	41	3	thereby	thereby	ADV
ajst-14944	41	4	improving	improve	VERB
ajst-14944	41	5	the	the	DET
ajst-14944	41	6	performance	performance	NOUN
ajst-14944	41	7	of	of	ADP
ajst-14944	41	8	the	the	DET
ajst-14944	41	9	model	model	NOUN
ajst-14944	41	10	.	.	PUNCT
ajst-14944	42	1	as	as	SCONJ
ajst-14944	42	2	shown	show	VERB
ajst-14944	42	3	in	in	ADP
ajst-14944	42	4	figure	figure	NOUN
ajst-14944	42	5	2	2	NUM
ajst-14944	42	6	below	below	ADV
ajst-14944	42	7	,	,	PUNCT
ajst-14944	42	8	the	the	DET
ajst-14944	42	9	branches	branch	NOUN
ajst-14944	42	10	of	of	ADP
ajst-14944	42	11	the	the	DET
ajst-14944	42	12	dbb	dbb	PROPN
ajst-14944	42	13	module	module	NOUN
ajst-14944	42	14	include	include	VERB
ajst-14944	42	15	a	a	DET
ajst-14944	42	16	series	series	NOUN
ajst-14944	42	17	of	of	ADP
ajst-14944	42	18	convolution	convolution	NOUN
ajst-14944	42	19	,	,	PUNCT
ajst-14944	42	20	multi	multi	ADJ
ajst-14944	42	21	-	-	ADJ
ajst-14944	42	22	scale	scale	ADJ
ajst-14944	42	23	convolution	convolution	NOUN
ajst-14944	42	24	and	and	CCONJ
ajst-14944	42	25	average	average	ADJ
ajst-14944	42	26	pooling	pool	VERB
ajst-14944	42	27	operations	operation	NOUN
ajst-14944	42	28	.	.	PUNCT
ajst-14944	43	1	conv	conv	PROPN
ajst-14944	43	2	conv	conv	PROPN
ajst-14944	43	3	c2f‐dbb	c2f‐dbb	PROPN
ajst-14944	43	4	conv	conv	PROPN
ajst-14944	43	5	c2f‐dbb	c2f‐dbb	PROPN
ajst-14944	43	6	conv	conv	PROPN
ajst-14944	43	7	c2f‐dbb	c2f‐dbb	PROPN
ajst-14944	43	8	conv	conv	PROPN
ajst-14944	43	9	c2f‐dbb	c2f‐dbb	PROPN
ajst-14944	43	10	sppf	sppf	PROPN
ajst-14944	43	11	upsample	upsample	PROPN
ajst-14944	43	12	concat	concat	PROPN
ajst-14944	43	13	c2f‐dbb	c2f‐dbb	X
ajst-14944	43	14	upsample	upsample	PROPN
ajst-14944	43	15	concat	concat	PROPN
ajst-14944	43	16	c2f‐dbb	c2f‐dbb	X
ajst-14944	43	17	conv	conv	PROPN
ajst-14944	43	18	concat	concat	PROPN
ajst-14944	43	19	c2f‐dbb	c2f‐dbb	X
ajst-14944	43	20	conv	conv	PROPN
ajst-14944	43	21	c2f‐dbb	c2f‐dbb	PROPN
ajst-14944	43	22	gdetect	gdetect	PROPN
ajst-14944	43	23	gdetect	gdetect	NOUN
ajst-14944	43	24	gdetect	gdetect	NOUN
ajst-14944	43	25	input	input	NOUN
ajst-14944	43	26	concat	concat	PROPN
ajst-14944	43	27	sppf	sppf	PROPN
ajst-14944	43	28	conv	conv	PROPN
ajst-14944	43	29	maxpool2d	maxpool2d	PROPN
ajst-14944	43	30	concatmaxpool2d	concatmaxpool2d	PROPN
ajst-14944	43	31	maxpool2d	maxpool2d	NOUN
ajst-14944	43	32	conv	conv	PROPN
ajst-14944	43	33	c2f‐dbb	c2f‐dbb	PROPN
ajst-14944	43	34	conv	conv	PROPN
ajst-14944	43	35	dbb	dbb	PROPN
ajst-14944	43	36	concatdbb	concatdbb	PROPN
ajst-14944	43	37	convsplit	convsplit	NOUN
ajst-14944	43	38	...	...	PUNCT
ajst-14944	44	1	n	n	CCONJ
ajst-14944	44	2	gconv	gconv	ADJ
ajst-14944	44	3	gconv	gconv	NOUN
ajst-14944	44	4	conv2d	conv2d	PROPN
ajst-14944	44	5	gconv	gconv	ADJ
ajst-14944	44	6	gconv	gconv	NOUN
ajst-14944	44	7	conv2d	conv2d	PROPN
ajst-14944	44	8	bbox.loss	bbox.loss	NUM
ajst-14944	44	9	cls.loss	cls.loss	NOUN
ajst-14944	44	10	gdetect	gdetect	NOUN
ajst-14944	44	11	msca	msca	NOUN
ajst-14944	44	12	52	52	NUM
ajst-14944	44	13	figure	figure	NOUN
ajst-14944	44	14	2	2	NUM
ajst-14944	44	15	.	.	PUNCT
ajst-14944	44	16	dbb	dbb	PROPN
ajst-14944	44	17	structure	structure	NOUN
ajst-14944	44	18	branch	branch	NOUN
ajst-14944	44	19	1	1	NUM
ajst-14944	44	20	is	be	AUX
ajst-14944	44	21	a	a	DET
ajst-14944	44	22	convolutional	convolutional	ADJ
ajst-14944	44	23	and	and	CCONJ
ajst-14944	44	24	bn	bn	NOUN
ajst-14944	44	25	layer	layer	NOUN
ajst-14944	44	26	to	to	PART
ajst-14944	44	27	perform	perform	VERB
ajst-14944	44	28	channel	channel	NOUN
ajst-14944	44	29	normalisation	normalisation	NOUN
ajst-14944	44	30	and	and	CCONJ
ajst-14944	44	31	prior	prior	ADJ
ajst-14944	44	32	scaling	scaling	NOUN
ajst-14944	44	33	;	;	PUNCT
ajst-14944	44	34	branch	branch	NOUN
ajst-14944	44	35	2	2	NUM
ajst-14944	44	36	is	be	AUX
ajst-14944	44	37	the	the	DET
ajst-14944	44	38	transform	transform	NOUN
ajst-14944	44	39	of	of	ADP
ajst-14944	44	40	addition	addition	NOUN
ajst-14944	44	41	,	,	PUNCT
ajst-14944	44	42	where	where	SCONJ
ajst-14944	44	43	additivity	additivity	NOUN
ajst-14944	44	44	ensures	ensure	VERB
ajst-14944	44	45	that	that	SCONJ
ajst-14944	44	46	if	if	SCONJ
ajst-14944	44	47	the	the	DET
ajst-14944	44	48	outputs	output	NOUN
ajst-14944	44	49	of	of	ADP
ajst-14944	44	50	two	two	NUM
ajst-14944	44	51	or	or	CCONJ
ajst-14944	44	52	more	more	ADV
ajst-14944	44	53	convolutional	convolutional	ADJ
ajst-14944	44	54	layers	layer	NOUN
ajst-14944	44	55	with	with	ADP
ajst-14944	44	56	the	the	DET
ajst-14944	44	57	same	same	ADJ
ajst-14944	44	58	configureuration	configureuration	NOUN
ajst-14944	44	59	are	be	AUX
ajst-14944	44	60	summed	sum	VERB
ajst-14944	44	61	,	,	PUNCT
ajst-14944	44	62	they	they	PRON
ajst-14944	44	63	can	can	AUX
ajst-14944	44	64	be	be	AUX
ajst-14944	44	65	merged	merge	VERB
ajst-14944	44	66	into	into	ADP
ajst-14944	44	67	a	a	DET
ajst-14944	44	68	single	single	ADJ
ajst-14944	44	69	convolution	convolution	NOUN
ajst-14944	44	70	;	;	PUNCT
ajst-14944	44	71	branch	branch	NOUN
ajst-14944	44	72	3	3	NUM
ajst-14944	44	73	is	be	AUX
ajst-14944	44	74	a	a	DET
ajst-14944	44	75	sequential	sequential	ADJ
ajst-14944	44	76	convolutional	convolutional	ADJ
ajst-14944	44	77	operation	operation	NOUN
ajst-14944	44	78	,	,	PUNCT
ajst-14944	44	79	which	which	PRON
ajst-14944	44	80	performs	perform	VERB
ajst-14944	44	81	a	a	DET
ajst-14944	44	82	linear	linear	ADJ
ajst-14944	44	83	combination	combination	NOUN
ajst-14944	44	84	of	of	ADP
ajst-14944	44	85	channels	channel	NOUN
ajst-14944	44	86	through	through	ADP
ajst-14944	44	87	a	a	DET
ajst-14944	44	88	1	1	NUM
ajst-14944	44	89	×	×	NOUN
ajst-14944	44	90	1	1	NUM
ajst-14944	44	91	convolution	convolution	NOUN
ajst-14944	44	92	,	,	PUNCT
ajst-14944	44	93	and	and	CCONJ
ajst-14944	44	94	then	then	ADV
ajst-14944	44	95	performs	perform	VERB
ajst-14944	44	96	spatial	spatial	ADJ
ajst-14944	44	97	aggregation	aggregation	NOUN
ajst-14944	44	98	through	through	ADP
ajst-14944	44	99	a	a	DET
ajst-14944	44	100	k	k	PROPN
ajst-14944	44	101	×	×	PROPN
ajst-14944	44	102	k	k	PROPN
ajst-14944	44	103	convolution	convolution	NOUN
ajst-14944	44	104	;	;	PUNCT
ajst-14944	44	105	branch	branch	NOUN
ajst-14944	44	106	4	4	NUM
ajst-14944	44	107	uses	use	VERB
ajst-14944	44	108	a	a	DET
ajst-14944	44	109	depth	depth	NOUN
ajst-14944	44	110	connection	connection	NOUN
ajst-14944	44	111	to	to	PART
ajst-14944	44	112	merge	merge	VERB
ajst-14944	44	113	k×k	k×k	PROPN
ajst-14944	44	114	convolutions	convolution	NOUN
ajst-14944	44	115	,	,	PUNCT
ajst-14944	44	116	and	and	CCONJ
ajst-14944	44	117	each	each	DET
ajst-14944	44	118	k×k	k×k	PROPN
ajst-14944	44	119	convolution	convolution	NOUN
ajst-14944	44	120	can	can	AUX
ajst-14944	44	121	in	in	ADP
ajst-14944	44	122	turn	turn	NOUN
ajst-14944	44	123	be	be	AUX
ajst-14944	44	124	operated	operate	VERB
ajst-14944	44	125	by	by	ADP
ajst-14944	44	126	the	the	DET
ajst-14944	44	127	convolution	convolution	NOUN
ajst-14944	44	128	of	of	ADP
ajst-14944	44	129	branch	branch	NOUN
ajst-14944	44	130	3	3	NUM
ajst-14944	44	131	;	;	PUNCT
ajst-14944	44	132	branch	branch	NOUN
ajst-14944	44	133	5	5	NUM
ajst-14944	44	134	is	be	AUX
ajst-14944	44	135	an	an	DET
ajst-14944	44	136	average	average	ADJ
ajst-14944	44	137	pooling	pooling	NOUN
ajst-14944	44	138	operation	operation	NOUN
ajst-14944	44	139	,	,	PUNCT
ajst-14944	44	140	which	which	PRON
ajst-14944	44	141	performs	perform	VERB
ajst-14944	44	142	downsampling	downsample	VERB
ajst-14944	44	143	when	when	SCONJ
ajst-14944	44	144	s>1	s>1	NOUN
ajst-14944	44	145	,	,	PUNCT
ajst-14944	44	146	but	but	CCONJ
ajst-14944	44	147	actually	actually	ADV
ajst-14944	44	148	performs	perform	VERB
ajst-14944	44	149	smoothing	smooth	VERB
ajst-14944	44	150	when	when	SCONJ
ajst-14944	44	151	s=1	s=1	NOUN
ajst-14944	44	152	;	;	PUNCT
ajst-14944	44	153	and	and	CCONJ
ajst-14944	44	154	branch	branch	NOUN
ajst-14944	44	155	6	6	NUM
ajst-14944	44	156	is	be	AUX
ajst-14944	44	157	a	a	DET
ajst-14944	44	158	multi	multi	ADJ
ajst-14944	44	159	-	-	ADJ
ajst-14944	44	160	scale	scale	ADJ
ajst-14944	44	161	convolutional	convolutional	ADJ
ajst-14944	44	162	operation	operation	NOUN
ajst-14944	44	163	,	,	PUNCT
ajst-14944	44	164	which	which	PRON
ajst-14944	44	165	can	can	AUX
ajst-14944	44	166	cope	cope	VERB
ajst-14944	44	167	with	with	ADP
ajst-14944	44	168	multi	multi	ADJ
ajst-14944	44	169	-	-	ADJ
ajst-14944	44	170	scale	scale	ADJ
ajst-14944	44	171	feature	feature	NOUN
ajst-14944	44	172	extraction	extraction	NOUN
ajst-14944	44	173	.	.	PUNCT
ajst-14944	45	1	as	as	SCONJ
ajst-14944	45	2	shown	show	VERB
ajst-14944	45	3	in	in	ADP
ajst-14944	45	4	figure	figure	NOUN
ajst-14944	45	5	.	.	PUNCT
ajst-14944	46	1	3	3	NUM
ajst-14944	46	2	below	below	ADV
ajst-14944	46	3	,	,	PUNCT
ajst-14944	46	4	the	the	DET
ajst-14944	46	5	dbb	dbb	PROPN
ajst-14944	46	6	module	module	NOUN
ajst-14944	46	7	is	be	AUX
ajst-14944	46	8	used	use	VERB
ajst-14944	46	9	in	in	ADP
ajst-14944	46	10	this	this	DET
ajst-14944	46	11	paper	paper	NOUN
ajst-14944	46	12	to	to	PART
ajst-14944	46	13	replace	replace	VERB
ajst-14944	46	14	the	the	DET
ajst-14944	46	15	botteneck	botteneck	NOUN
ajst-14944	46	16	module	module	NOUN
ajst-14944	46	17	in	in	ADP
ajst-14944	46	18	c2f	c2f	NOUN
ajst-14944	46	19	to	to	PART
ajst-14944	46	20	cope	cope	VERB
ajst-14944	46	21	with	with	ADP
ajst-14944	46	22	multi	multi	ADJ
ajst-14944	46	23	-	-	ADJ
ajst-14944	46	24	scale	scale	ADJ
ajst-14944	46	25	steel	steel	NOUN
ajst-14944	46	26	surface	surface	NOUN
ajst-14944	46	27	defect	defect	NOUN
ajst-14944	46	28	features	feature	NOUN
ajst-14944	46	29	and	and	CCONJ
ajst-14944	46	30	improve	improve	VERB
ajst-14944	46	31	the	the	DET
ajst-14944	46	32	feature	feature	NOUN
ajst-14944	46	33	extraction	extraction	NOUN
ajst-14944	46	34	capability	capability	NOUN
ajst-14944	46	35	of	of	ADP
ajst-14944	46	36	the	the	DET
ajst-14944	46	37	model	model	NOUN
ajst-14944	46	38	.	.	PUNCT
ajst-14944	47	1	figure	figure	VERB
ajst-14944	47	2	3	3	NUM
ajst-14944	47	3	.	.	PUNCT
ajst-14944	47	4	structure	structure	NOUN
ajst-14944	47	5	of	of	ADP
ajst-14944	47	6	c2f	c2f	PROPN
ajst-14944	47	7	-	-	PUNCT
ajst-14944	47	8	dbb	dbb	PROPN
ajst-14944	47	9	2.3	2.3	NUM
ajst-14944	47	10	.	.	PUNCT
ajst-14944	48	1	msca	msca	NOUN
ajst-14944	48	2	attention	attention	NOUN
ajst-14944	48	3	mechanism	mechanism	NOUN
ajst-14944	48	4	in	in	ADP
ajst-14944	48	5	order	order	NOUN
ajst-14944	48	6	to	to	PART
ajst-14944	48	7	improve	improve	VERB
ajst-14944	48	8	the	the	DET
ajst-14944	48	9	feature	feature	NOUN
ajst-14944	48	10	extraction	extraction	NOUN
ajst-14944	48	11	capability	capability	NOUN
ajst-14944	48	12	of	of	ADP
ajst-14944	48	13	yolov8	yolov8	NOUN
ajst-14944	48	14	network	network	NOUN
ajst-14944	48	15	and	and	CCONJ
ajst-14944	48	16	the	the	DET
ajst-14944	48	17	detection	detection	NOUN
ajst-14944	48	18	accuracy	accuracy	NOUN
ajst-14944	48	19	of	of	ADP
ajst-14944	48	20	multi	multi	ADJ
ajst-14944	48	21	-	-	ADJ
ajst-14944	48	22	scale	scale	ADJ
ajst-14944	48	23	steel	steel	NOUN
ajst-14944	48	24	surface	surface	NOUN
ajst-14944	48	25	defects	defect	NOUN
ajst-14944	48	26	,	,	PUNCT
ajst-14944	48	27	msca	msca	NOUN
ajst-14944	48	28	attention	attention	NOUN
ajst-14944	48	29	mechanism	mechanism	NOUN
ajst-14944	48	30	is	be	AUX
ajst-14944	48	31	added	add	VERB
ajst-14944	48	32	to	to	ADP
ajst-14944	48	33	the	the	DET
ajst-14944	48	34	backbone	backbone	NOUN
ajst-14944	48	35	part	part	NOUN
ajst-14944	48	36	of	of	ADP
ajst-14944	48	37	yolov8	yolov8	NOUN
ajst-14944	48	38	network.msca	network.msca	PROPN
ajst-14944	48	39	is	be	AUX
ajst-14944	48	40	a	a	DET
ajst-14944	48	41	multiscale	multiscale	ADJ
ajst-14944	48	42	convolutional	convolutional	ADJ
ajst-14944	48	43	attention	attention	NOUN
ajst-14944	48	44	mechanism	mechanism	NOUN
ajst-14944	48	45	as	as	SCONJ
ajst-14944	48	46	shown	show	VERB
ajst-14944	48	47	in	in	ADP
ajst-14944	48	48	figure	figure	NOUN
ajst-14944	48	49	.	.	PUNCT
ajst-14944	49	1	4	4	NUM
ajst-14944	49	2	below	below	ADV
ajst-14944	49	3	,	,	PUNCT
ajst-14944	49	4	which	which	PRON
ajst-14944	49	5	consists	consist	VERB
ajst-14944	49	6	of	of	ADP
ajst-14944	49	7	three	three	NUM
ajst-14944	49	8	parts	part	NOUN
ajst-14944	49	9	:	:	PUNCT
ajst-14944	49	10	depth	depth	NOUN
ajst-14944	49	11	convolution	convolution	NOUN
ajst-14944	49	12	to	to	PART
ajst-14944	49	13	gather	gather	VERB
ajst-14944	49	14	local	local	ADJ
ajst-14944	49	15	information	information	NOUN
ajst-14944	49	16	,	,	PUNCT
ajst-14944	49	17	multi	multi	ADJ
ajst-14944	49	18	-	-	ADJ
ajst-14944	49	19	branch	branch	ADJ
ajst-14944	49	20	depth	depth	NOUN
ajst-14944	49	21	bar	bar	NOUN
ajst-14944	49	22	convolution	convolution	NOUN
ajst-14944	49	23	to	to	PART
ajst-14944	49	24	capture	capture	VERB
ajst-14944	49	25	multi	multi	ADJ
ajst-14944	49	26	-	-	ADJ
ajst-14944	49	27	scale	scale	ADJ
ajst-14944	49	28	context	context	NOUN
ajst-14944	49	29	,	,	PUNCT
ajst-14944	49	30	and	and	CCONJ
ajst-14944	49	31	1×1	1×1	NUM
ajst-14944	49	32	convolution	convolution	NOUN
ajst-14944	49	33	to	to	PART
ajst-14944	49	34	construct	construct	VERB
ajst-14944	49	35	the	the	DET
ajst-14944	49	36	relationship	relationship	NOUN
ajst-14944	49	37	between	between	ADP
ajst-14944	49	38	different	different	ADJ
ajst-14944	49	39	channels	channel	NOUN
ajst-14944	49	40	.	.	PUNCT
ajst-14944	50	1	because	because	SCONJ
ajst-14944	50	2	strip	strip	NOUN
ajst-14944	50	3	convolution	convolution	NOUN
ajst-14944	50	4	is	be	AUX
ajst-14944	50	5	lightweight	lightweight	ADJ
ajst-14944	50	6	,	,	PUNCT
ajst-14944	50	7	in	in	ADP
ajst-14944	50	8	each	each	DET
ajst-14944	50	9	branch	branch	NOUN
ajst-14944	50	10	,	,	PUNCT
ajst-14944	50	11	two	two	NUM
ajst-14944	50	12	depth	depth	NOUN
ajst-14944	50	13	strip	strip	NOUN
ajst-14944	50	14	convolutions	convolution	NOUN
ajst-14944	50	15	are	be	AUX
ajst-14944	50	16	used	use	VERB
ajst-14944	50	17	as	as	ADP
ajst-14944	50	18	the	the	DET
ajst-14944	50	19	standard	standard	ADJ
ajst-14944	50	20	depth	depth	NOUN
ajst-14944	50	21	convolution	convolution	NOUN
ajst-14944	50	22	of	of	ADP
ajst-14944	50	23	the	the	DET
ajst-14944	50	24	larger	large	ADJ
ajst-14944	50	25	kernel	kernel	NOUN
ajst-14944	50	26	.	.	PUNCT
ajst-14944	51	1	mathematically	mathematically	ADV
ajst-14944	51	2	,	,	PUNCT
ajst-14944	51	3	the	the	DET
ajst-14944	51	4	formula	formula	NOUN
ajst-14944	51	5	for	for	ADP
ajst-14944	51	6	msca	msca	NOUN
ajst-14944	51	7	is	be	AUX
ajst-14944	51	8	:	:	PUNCT
ajst-14944	51	9	3	3	NUM
ajst-14944	51	10	1	1	NUM
ajst-14944	51	11	1	1	NUM
ajst-14944	51	12	0	0	NUM
ajst-14944	51	13	att	att	PROPN
ajst-14944	51	14	(	(	PUNCT
ajst-14944	51	15	(	(	PUNCT
ajst-14944	51	16	(	(	PUNCT
ajst-14944	51	17	)	)	PUNCT
ajst-14944	51	18	)	)	PUNCT
ajst-14944	51	19	)	)	PUNCT
ajst-14944	52	1	i	i	PRON
ajst-14944	52	2	i	i	PRON
ajst-14944	52	3	conv	conv	ADJ
ajst-14944	52	4	scale	scale	PROPN
ajst-14944	52	5	dw	dw	PROPN
ajst-14944	52	6	conv	conv	PROPN
ajst-14944	52	7	f	f	PROPN
ajst-14944	52	8			PROPN
ajst-14944	52	9			NUM
ajst-14944	53	1			X
ajst-14944	53	2	(	(	PUNCT
ajst-14944	53	3	1	1	NUM
ajst-14944	53	4	)	)	PUNCT
ajst-14944	53	5	out	out	ADP
ajst-14944	53	6	att	att	PROPN
ajst-14944	53	7	f	f	PROPN
ajst-14944	53	8			PROPN
ajst-14944	53	9	(	(	PUNCT
ajst-14944	53	10	2	2	NUM
ajst-14944	53	11	)	)	PUNCT
ajst-14944	53	12	where	where	SCONJ
ajst-14944	53	13	f	f	PROPN
ajst-14944	53	14	denotes	denote	VERB
ajst-14944	53	15	the	the	DET
ajst-14944	53	16	input	input	NOUN
ajst-14944	53	17	features.att	features.att	PROPN
ajst-14944	53	18	and	and	CCONJ
ajst-14944	53	19	out	out	ADV
ajst-14944	53	20	are	be	AUX
ajst-14944	53	21	the	the	DET
ajst-14944	53	22	attention	attention	NOUN
ajst-14944	53	23	graph	graph	NOUN
ajst-14944	53	24	and	and	CCONJ
ajst-14944	53	25	the	the	DET
ajst-14944	53	26	output	output	NOUN
ajst-14944	53	27	,	,	PUNCT
ajst-14944	53	28	respectively	respectively	ADV
ajst-14944	53	29	,	,	PUNCT
ajst-14944	53	30			X
ajst-14944	53	31	is	be	AUX
ajst-14944	53	32	an	an	DET
ajst-14944	53	33	elementlevel	elementlevel	NOUN
ajst-14944	53	34	matrix	matrix	NOUN
ajst-14944	53	35	multiplication	multiplication	NOUN
ajst-14944	53	36	operation.dw	operation.dw	NUM
ajst-14944	53	37	-	-	PUNCT
ajst-14944	53	38	conv	conv	NOUN
ajst-14944	53	39	denotes	denote	NOUN
ajst-14944	53	40	the	the	DET
ajst-14944	53	41	depth	depth	NOUN
ajst-14944	53	42	-	-	PUNCT
ajst-14944	53	43	level	level	NOUN
ajst-14944	53	44	convolution	convolution	NOUN
ajst-14944	53	45	,	,	PUNCT
ajst-14944	53	46	scalei	scalei	PROPN
ajst-14944	53	47	,	,	PUNCT
ajst-14944	53	48	i∈{0,1,2,3	i∈{0,1,2,3	PROPN
ajst-14944	53	49	}	}	PUNCT
ajst-14944	53	50	,	,	PUNCT
ajst-14944	53	51	which	which	PRON
ajst-14944	53	52	denotes	denote	VERB
ajst-14944	53	53	that	that	SCONJ
ajst-14944	53	54	the	the	DET
ajst-14944	53	55	ith	ith	ADJ
ajst-14944	53	56	branch	branch	NOUN
ajst-14944	53	57	in	in	ADP
ajst-14944	53	58	the	the	DET
ajst-14944	53	59	graph	graph	NOUN
ajst-14944	53	60	scales	scale	NOUN
ajst-14944	53	61	to	to	ADP
ajst-14944	53	62	a	a	DET
ajst-14944	53	63	value	value	NOUN
ajst-14944	53	64	of	of	ADP
ajst-14944	53	65	0	0	NUM
ajst-14944	53	66	,	,	PUNCT
ajst-14944	53	67	and	and	CCONJ
ajst-14944	53	68	is	be	AUX
ajst-14944	53	69	the	the	DET
ajst-14944	53	70	identity	identity	NOUN
ajst-14944	53	71	connection	connection	NOUN
ajst-14944	53	72	.	.	PUNCT
ajst-14944	54	1	figure	figure	NOUN
ajst-14944	54	2	4	4	NUM
ajst-14944	54	3	.	.	PUNCT
ajst-14944	54	4	msca	msca	NOUN
ajst-14944	54	5	structure	structure	NOUN
ajst-14944	54	6	2.4	2.4	NUM
ajst-14944	54	7	.	.	PUNCT
ajst-14944	54	8	improved	improve	VERB
ajst-14944	54	9	gdetect	gdetect	NOUN
ajst-14944	54	10	module	module	NOUN
ajst-14944	54	11	in	in	ADP
ajst-14944	54	12	order	order	NOUN
ajst-14944	54	13	to	to	PART
ajst-14944	54	14	reduce	reduce	VERB
ajst-14944	54	15	the	the	DET
ajst-14944	54	16	number	number	NOUN
ajst-14944	54	17	of	of	ADP
ajst-14944	54	18	parameters	parameter	NOUN
ajst-14944	54	19	and	and	CCONJ
ajst-14944	54	20	computation	computation	NOUN
ajst-14944	54	21	of	of	ADP
ajst-14944	54	22	the	the	DET
ajst-14944	54	23	yolov8	yolov8	NOUN
ajst-14944	54	24	network	network	NOUN
ajst-14944	54	25	,	,	PUNCT
ajst-14944	54	26	and	and	CCONJ
ajst-14944	54	27	at	at	ADP
ajst-14944	54	28	the	the	DET
ajst-14944	54	29	same	same	ADJ
ajst-14944	54	30	time	time	NOUN
ajst-14944	54	31	to	to	PART
ajst-14944	54	32	improve	improve	VERB
ajst-14944	54	33	the	the	DET
ajst-14944	54	34	accuracy	accuracy	NOUN
ajst-14944	54	35	and	and	CCONJ
ajst-14944	54	36	efficiency	efficiency	NOUN
ajst-14944	54	37	of	of	ADP
ajst-14944	54	38	detection	detection	NOUN
ajst-14944	54	39	,	,	PUNCT
ajst-14944	54	40	this	this	DET
ajst-14944	54	41	paper	paper	NOUN
ajst-14944	54	42	improves	improve	VERB
ajst-14944	54	43	the	the	DET
ajst-14944	54	44	detect	detect	NOUN
ajst-14944	54	45	module	module	NOUN
ajst-14944	54	46	of	of	ADP
ajst-14944	54	47	the	the	DET
ajst-14944	54	48	original	original	ADJ
ajst-14944	54	49	yolov8	yolov8	NOUN
ajst-14944	55	1	k×k	k×k	PROPN
ajst-14944	55	2	k×k	k×k	PROPN
ajst-14944	55	3	k×k	k×k	PROPN
ajst-14944	55	4	1×1	1×1	PROPN
ajst-14944	55	5	k×k	k×k	PROPN
ajst-14944	55	6	k×k	k×k	PROPN
ajst-14944	55	7	k×k	k×k	PROPN
ajst-14944	55	8	k×k	k×k	PROPN
ajst-14944	55	9	avg	avg	NOUN
ajst-14944	55	10	1×1	1×1	PROPN
ajst-14944	55	11	1×k	1×k	PROPN
ajst-14944	55	12	k×1	k×1	NOUN
ajst-14944	55	13	concat	concat	PROPN
ajst-14944	55	14	avg	avg	PROPN
ajst-14944	55	15	conv	conv	PROPN
ajst-14944	55	16	average	average	ADJ
ajst-14944	55	17	pooling	pooling	NOUN
ajst-14944	55	18	batch	batch	NOUN
ajst-14944	55	19	norm	norm	NOUN
ajst-14944	55	20	c2f‐dbb	c2f‐dbb	VERB
ajst-14944	55	21	conv	conv	PROPN
ajst-14944	55	22	dbb	dbb	PROPN
ajst-14944	55	23	concatdbb	concatdbb	PROPN
ajst-14944	55	24	convsplit	convsplit	NOUN
ajst-14944	55	25	...	...	PUNCT
ajst-14944	55	26	n	n	CCONJ
ajst-14944	55	27	d,7×1	d,7×1	PROPN
ajst-14944	55	28	d,11×1	d,11×1	PROPN
ajst-14944	55	29	d,21×1	d,21×1	PROPN
ajst-14944	55	30	d,1×7	d,1×7	PROPN
ajst-14944	56	1	d,1×11	d,1×11	PUNCT
ajst-14944	56	2	d,1×21	d,1×21	X
ajst-14944	57	1	d,5×5	d,5×5	X
ajst-14944	57	2	1×1	1×1	ADJ
ajst-14944	57	3	convolutional	convolutional	ADJ
ajst-14944	57	4	attention	attention	NOUN
ajst-14944	57	5	channel	channel	NOUN
ajst-14944	57	6	mixing	mix	VERB
ajst-14944	57	7	multi	multi	ADJ
ajst-14944	57	8	-	-	ADJ
ajst-14944	57	9	scale	scale	ADJ
ajst-14944	57	10	feature	feature	NOUN
ajst-14944	57	11	53	53	NUM
ajst-14944	57	12	network.gconv[23	network.gconv[23	NOUN
ajst-14944	57	13	]	]	PUNCT
ajst-14944	57	14	module	module	NOUN
ajst-14944	57	15	,	,	PUNCT
ajst-14944	57	16	as	as	SCONJ
ajst-14944	57	17	shown	show	VERB
ajst-14944	57	18	in	in	ADP
ajst-14944	57	19	figure	figure	NOUN
ajst-14944	57	20	.	.	PUNCT
ajst-14944	58	1	5	5	NUM
ajst-14944	58	2	,	,	PUNCT
ajst-14944	58	3	in	in	ADP
ajst-14944	58	4	ordinary	ordinary	ADJ
ajst-14944	58	5	convolutional	convolutional	ADJ
ajst-14944	58	6	operation	operation	NOUN
ajst-14944	58	7	,	,	PUNCT
ajst-14944	58	8	the	the	DET
ajst-14944	58	9	connection	connection	NOUN
ajst-14944	58	10	between	between	ADP
ajst-14944	58	11	the	the	DET
ajst-14944	58	12	input	input	NOUN
ajst-14944	58	13	and	and	CCONJ
ajst-14944	58	14	the	the	DET
ajst-14944	58	15	output	output	NOUN
ajst-14944	58	16	channels	channel	NOUN
ajst-14944	58	17	is	be	AUX
ajst-14944	58	18	fully	fully	ADV
ajst-14944	58	19	connected	connect	VERB
ajst-14944	58	20	,	,	PUNCT
ajst-14944	58	21	i.e.	i.e.	X
ajst-14944	58	22	,	,	PUNCT
ajst-14944	58	23	each	each	DET
ajst-14944	58	24	input	input	NOUN
ajst-14944	58	25	channel	channel	NOUN
ajst-14944	58	26	is	be	AUX
ajst-14944	58	27	connected	connect	VERB
ajst-14944	58	28	to	to	ADP
ajst-14944	58	29	the	the	DET
ajst-14944	58	30	output	output	NOUN
ajst-14944	58	31	channel	channel	NOUN
ajst-14944	58	32	.	.	PUNCT
ajst-14944	59	1	whereas	whereas	SCONJ
ajst-14944	59	2	in	in	ADP
ajst-14944	59	3	grouped	group	VERB
ajst-14944	59	4	convolution	convolution	NOUN
ajst-14944	59	5	,	,	PUNCT
ajst-14944	59	6	the	the	DET
ajst-14944	59	7	input	input	NOUN
ajst-14944	59	8	channels	channel	NOUN
ajst-14944	59	9	are	be	AUX
ajst-14944	59	10	uniformly	uniformly	ADV
ajst-14944	59	11	divided	divide	VERB
ajst-14944	59	12	into	into	ADP
ajst-14944	59	13	groups	group	NOUN
ajst-14944	59	14	,	,	PUNCT
ajst-14944	59	15	and	and	CCONJ
ajst-14944	59	16	the	the	DET
ajst-14944	59	17	channels	channel	NOUN
ajst-14944	59	18	in	in	ADP
ajst-14944	59	19	each	each	DET
ajst-14944	59	20	group	group	NOUN
ajst-14944	59	21	are	be	AUX
ajst-14944	59	22	subjected	subject	VERB
ajst-14944	59	23	to	to	ADP
ajst-14944	59	24	convolution	convolution	NOUN
ajst-14944	59	25	operation	operation	NOUN
ajst-14944	59	26	,	,	PUNCT
ajst-14944	59	27	and	and	CCONJ
ajst-14944	59	28	then	then	ADV
ajst-14944	59	29	the	the	DET
ajst-14944	59	30	outputs	output	NOUN
ajst-14944	59	31	of	of	ADP
ajst-14944	59	32	the	the	DET
ajst-14944	59	33	groups	group	NOUN
ajst-14944	59	34	are	be	AUX
ajst-14944	59	35	combined	combine	VERB
ajst-14944	59	36	together	together	ADV
ajst-14944	59	37	to	to	PART
ajst-14944	59	38	form	form	VERB
ajst-14944	59	39	the	the	DET
ajst-14944	59	40	final	final	ADJ
ajst-14944	59	41	output	output	NOUN
ajst-14944	59	42	.	.	PUNCT
ajst-14944	60	1	grouped	group	VERB
ajst-14944	60	2	convolution	convolution	NOUN
ajst-14944	60	3	can	can	AUX
ajst-14944	60	4	reduce	reduce	VERB
ajst-14944	60	5	the	the	DET
ajst-14944	60	6	number	number	NOUN
ajst-14944	60	7	of	of	ADP
ajst-14944	60	8	parameters	parameter	NOUN
ajst-14944	60	9	of	of	ADP
ajst-14944	60	10	the	the	DET
ajst-14944	60	11	model	model	NOUN
ajst-14944	60	12	,	,	PUNCT
ajst-14944	60	13	thus	thus	ADV
ajst-14944	60	14	reducing	reduce	VERB
ajst-14944	60	15	the	the	DET
ajst-14944	60	16	computational	computational	ADJ
ajst-14944	60	17	cost	cost	NOUN
ajst-14944	60	18	and	and	CCONJ
ajst-14944	60	19	improving	improve	VERB
ajst-14944	60	20	the	the	DET
ajst-14944	60	21	computational	computational	ADJ
ajst-14944	60	22	efficiency	efficiency	NOUN
ajst-14944	60	23	of	of	ADP
ajst-14944	60	24	the	the	DET
ajst-14944	60	25	model	model	NOUN
ajst-14944	60	26	to	to	ADP
ajst-14944	60	27	some	some	DET
ajst-14944	60	28	extent	extent	NOUN
ajst-14944	60	29	.	.	PUNCT
ajst-14944	61	1	figure	figure	NOUN
ajst-14944	61	2	5	5	NUM
ajst-14944	61	3	.	.	PUNCT
ajst-14944	61	4	gconv	gconv	ADJ
ajst-14944	61	5	structure	structure	NOUN
ajst-14944	61	6	the	the	DET
ajst-14944	61	7	number	number	NOUN
ajst-14944	61	8	of	of	ADP
ajst-14944	61	9	parameters	parameter	NOUN
ajst-14944	61	10	and	and	CCONJ
ajst-14944	61	11	flops	flop	NOUN
ajst-14944	61	12	for	for	ADP
ajst-14944	61	13	ordinary	ordinary	ADJ
ajst-14944	61	14	convolutional	convolutional	ADJ
ajst-14944	61	15	layers	layer	NOUN
ajst-14944	61	16	are	be	AUX
ajst-14944	61	17	calculated	calculate	VERB
ajst-14944	61	18	as	as	ADP
ajst-14944	61	19	:	:	SYM
ajst-14944	61	20	1	1	NUM
ajst-14944	61	21	1	1	NUM
ajst-14944	61	22	1	1	NUM
ajst-14944	61	23	2params	2params	NUM
ajst-14944	61	24	=	=	SYM
ajst-14944	61	25	c	c	PART
ajst-14944	61	26	h	h	NOUN
ajst-14944	61	27	w	w	PROPN
ajst-14944	61	28	c	c	PROPN
ajst-14944	61	29			PROPN
ajst-14944	61	30			PROPN
ajst-14944	61	31	(	(	PUNCT
ajst-14944	61	32	3	3	NUM
ajst-14944	61	33	)	)	SYM
ajst-14944	61	34	1	1	NUM
ajst-14944	61	35	2	2	NUM
ajst-14944	61	36	2	2	NUM
ajst-14944	61	37	2	2	NUM
ajst-14944	61	38	1	1	NUM
ajst-14944	61	39	1wflops	1wflops	NUM
ajst-14944	61	40	c	c	NOUN
ajst-14944	61	41	c	c	PROPN
ajst-14944	61	42	w	w	PROPN
ajst-14944	61	43	h	h	PROPN
ajst-14944	62	1	h	h	NOUN
ajst-14944	63	1			PROPN
ajst-14944	63	2			PROPN
ajst-14944	63	3			PROPN
ajst-14944	63	4			PROPN
ajst-14944	63	5			PROPN
ajst-14944	63	6	(	(	PUNCT
ajst-14944	63	7	4	4	NUM
ajst-14944	63	8	)	)	PUNCT
ajst-14944	63	9	the	the	DET
ajst-14944	63	10	number	number	NOUN
ajst-14944	63	11	of	of	ADP
ajst-14944	63	12	parameters	parameter	NOUN
ajst-14944	63	13	and	and	CCONJ
ajst-14944	63	14	glops	glop	NOUN
ajst-14944	63	15	for	for	ADP
ajst-14944	63	16	grouped	group	VERB
ajst-14944	63	17	convolutions	convolution	NOUN
ajst-14944	63	18	are	be	AUX
ajst-14944	63	19	calculated	calculate	VERB
ajst-14944	63	20	as	as	ADP
ajst-14944	63	21	:	:	SYM
ajst-14944	63	22	1	1	NUM
ajst-14944	63	23	1	1	NUM
ajst-14944	63	24	1	1	NUM
ajst-14944	63	25	2	2	NUM
ajst-14944	63	26	1	1	NUM
ajst-14944	63	27	params=	params=	NUM
ajst-14944	63	28	c	c	NOUN
ajst-14944	63	29	h	h	NOUN
ajst-14944	63	30	w	w	PROPN
ajst-14944	63	31	c	c	PROPN
ajst-14944	63	32	g	g	PROPN
ajst-14944	63	33			NOUN
ajst-14944	63	34			PROPN
ajst-14944	63	35			PROPN
ajst-14944	63	36			PROPN
ajst-14944	63	37	(	(	PUNCT
ajst-14944	63	38	5	5	NUM
ajst-14944	63	39	)	)	SYM
ajst-14944	63	40	1	1	NUM
ajst-14944	63	41	2	2	NUM
ajst-14944	63	42	2	2	NUM
ajst-14944	63	43	2	2	NUM
ajst-14944	63	44	1	1	NUM
ajst-14944	63	45	1	1	NUM
ajst-14944	63	46	1	1	NUM
ajst-14944	63	47	wflops	wflop	NOUN
ajst-14944	63	48	c	c	PROPN
ajst-14944	63	49	c	c	PROPN
ajst-14944	63	50	w	w	PROPN
ajst-14944	63	51	h	h	NOUN
ajst-14944	63	52	h	h	NOUN
ajst-14944	64	1	g	g	PROPN
ajst-14944	64	2			PROPN
ajst-14944	64	3			PROPN
ajst-14944	64	4			PROPN
ajst-14944	64	5			PROPN
ajst-14944	64	6			PROPN
ajst-14944	64	7			PROPN
ajst-14944	64	8			PROPN
ajst-14944	64	9	(	(	PUNCT
ajst-14944	64	10	6	6	NUM
ajst-14944	64	11	)	)	PUNCT
ajst-14944	64	12	it	it	PRON
ajst-14944	64	13	can	can	AUX
ajst-14944	64	14	be	be	AUX
ajst-14944	64	15	seen	see	VERB
ajst-14944	64	16	that	that	SCONJ
ajst-14944	64	17	this	this	DET
ajst-14944	64	18	grouping	group	VERB
ajst-14944	64	19	structure	structure	NOUN
ajst-14944	64	20	reduces	reduce	VERB
ajst-14944	64	21	the	the	DET
ajst-14944	64	22	number	number	NOUN
ajst-14944	64	23	of	of	ADP
ajst-14944	64	24	parameters	parameter	NOUN
ajst-14944	64	25	per	per	ADP
ajst-14944	64	26	convolutional	convolutional	ADJ
ajst-14944	64	27	kernel	kernel	NOUN
ajst-14944	64	28	and	and	CCONJ
ajst-14944	64	29	thus	thus	ADV
ajst-14944	64	30	reduces	reduce	VERB
ajst-14944	64	31	the	the	DET
ajst-14944	64	32	computational	computational	ADJ
ajst-14944	64	33	complexity.gdetect	complexity.gdetect	NOUN
ajst-14944	64	34	is	be	AUX
ajst-14944	64	35	shown	show	VERB
ajst-14944	64	36	in	in	ADP
ajst-14944	64	37	figure	figure	NOUN
ajst-14944	64	38	.	.	PUNCT
ajst-14944	65	1	6.in	6.in	NOUN
ajst-14944	65	2	this	this	DET
ajst-14944	65	3	paper	paper	NOUN
ajst-14944	65	4	,	,	PUNCT
ajst-14944	65	5	gconv	gconv	NOUN
ajst-14944	65	6	is	be	AUX
ajst-14944	65	7	replaced	replace	VERB
ajst-14944	65	8	with	with	ADP
ajst-14944	65	9	the	the	DET
ajst-14944	65	10	standard	standard	ADJ
ajst-14944	65	11	convolutional	convolutional	ADJ
ajst-14944	65	12	module	module	NOUN
ajst-14944	65	13	in	in	ADP
ajst-14944	65	14	the	the	DET
ajst-14944	65	15	detect	detect	NOUN
ajst-14944	65	16	section	section	NOUN
ajst-14944	65	17	of	of	ADP
ajst-14944	65	18	the	the	DET
ajst-14944	65	19	original	original	ADJ
ajst-14944	65	20	yolov8	yolov8	PROPN
ajst-14944	65	21	.	.	PUNCT
ajst-14944	66	1	figure	figure	NOUN
ajst-14944	66	2	.	.	PUNCT
ajst-14944	67	1	6	6	NUM
ajst-14944	67	2	gdetect	gdetect	NOUN
ajst-14944	67	3	structure	structure	NOUN
ajst-14944	67	4	3	3	NUM
ajst-14944	67	5	.	.	PUNCT
ajst-14944	67	6	experimental	experimental	ADJ
ajst-14944	67	7	results	result	NOUN
ajst-14944	67	8	and	and	CCONJ
ajst-14944	67	9	analysis	analysis	NOUN
ajst-14944	67	10	3.1	3.1	NUM
ajst-14944	67	11	.	.	PUNCT
ajst-14944	67	12	dataset	dataset	ADJ
ajst-14944	67	13	introduction	introduction	NOUN
ajst-14944	67	14	this	this	DET
ajst-14944	67	15	paper	paper	NOUN
ajst-14944	67	16	uses	use	VERB
ajst-14944	67	17	the	the	DET
ajst-14944	67	18	neu	neu	PROPN
ajst-14944	67	19	-	-	PUNCT
ajst-14944	67	20	det	det	PROPN
ajst-14944	67	21	steel	steel	NOUN
ajst-14944	67	22	surface	surface	NOUN
ajst-14944	67	23	defects	defect	NOUN
ajst-14944	67	24	dataset	dataset	VERB
ajst-14944	67	25	published	publish	VERB
ajst-14944	67	26	by	by	ADP
ajst-14944	67	27	northeastern	northeastern	ADJ
ajst-14944	67	28	university	university	NOUN
ajst-14944	67	29	,	,	PUNCT
ajst-14944	67	30	which	which	PRON
ajst-14944	67	31	has	have	VERB
ajst-14944	67	32	six	six	NUM
ajst-14944	67	33	types	type	NOUN
ajst-14944	67	34	of	of	ADP
ajst-14944	67	35	defects	defect	NOUN
ajst-14944	67	36	,	,	PUNCT
ajst-14944	67	37	namely	namely	ADV
ajst-14944	67	38	crazing	crazing	NOUN
ajst-14944	67	39	,	,	PUNCT
ajst-14944	67	40	inclusion	inclusion	NOUN
ajst-14944	67	41	,	,	PUNCT
ajst-14944	67	42	patches	patch	NOUN
ajst-14944	67	43	,	,	PUNCT
ajst-14944	67	44	pitted_surface	pitted_surface	PROPN
ajst-14944	67	45	,	,	PUNCT
ajst-14944	67	46	rolled	roll	VERB
ajst-14944	67	47	-	-	PUNCT
ajst-14944	67	48	in_scale	in_scale	NOUN
ajst-14944	67	49	,	,	PUNCT
ajst-14944	67	50	and	and	CCONJ
ajst-14944	67	51	scratches	scratch	NOUN
ajst-14944	67	52	.	.	PUNCT
ajst-14944	68	1	the	the	DET
ajst-14944	68	2	images	image	NOUN
ajst-14944	68	3	are	be	AUX
ajst-14944	68	4	all	all	PRON
ajst-14944	68	5	greyscale	greyscale	NOUN
ajst-14944	68	6	images	image	NOUN
ajst-14944	68	7	of	of	ADP
ajst-14944	68	8	200×200	200×200	NUM
ajst-14944	68	9	size	size	NOUN
ajst-14944	68	10	.	.	PUNCT
ajst-14944	69	1	300	300	NUM
ajst-14944	69	2	images	image	NOUN
ajst-14944	69	3	for	for	ADP
ajst-14944	69	4	each	each	DET
ajst-14944	69	5	type	type	NOUN
ajst-14944	69	6	of	of	ADP
ajst-14944	69	7	defect	defect	NOUN
ajst-14944	69	8	,	,	PUNCT
ajst-14944	69	9	1800	1800	NUM
ajst-14944	69	10	images	image	NOUN
ajst-14944	69	11	in	in	ADP
ajst-14944	69	12	total	total	NOUN
ajst-14944	69	13	.	.	PUNCT
ajst-14944	70	1	the	the	DET
ajst-14944	70	2	defective	defective	ADJ
ajst-14944	70	3	images	image	NOUN
ajst-14944	70	4	are	be	AUX
ajst-14944	70	5	annotated	annotate	VERB
ajst-14944	70	6	and	and	CCONJ
ajst-14944	70	7	preprocessed	preprocesse	VERB
ajst-14944	70	8	using	use	VERB
ajst-14944	70	9	the	the	DET
ajst-14944	70	10	labelimg	labelimg	ADJ
ajst-14944	70	11	tool	tool	NOUN
ajst-14944	70	12	to	to	PART
ajst-14944	70	13	get	get	VERB
ajst-14944	70	14	the	the	DET
ajst-14944	70	15	label	label	NOUN
ajst-14944	70	16	file	file	NOUN
ajst-14944	70	17	in	in	ADP
ajst-14944	70	18	xml	xml	NOUN
ajst-14944	70	19	format	format	NOUN
ajst-14944	70	20	,	,	PUNCT
ajst-14944	70	21	and	and	CCONJ
ajst-14944	70	22	then	then	ADV
ajst-14944	70	23	converted	convert	VERB
ajst-14944	70	24	to	to	ADP
ajst-14944	70	25	a	a	DET
ajst-14944	70	26	txt	txt	NOUN
ajst-14944	70	27	format	format	NOUN
ajst-14944	70	28	file	file	NOUN
ajst-14944	70	29	for	for	ADP
ajst-14944	70	30	yolo	yolo	ADJ
ajst-14944	70	31	training	training	NOUN
ajst-14944	70	32	,	,	PUNCT
ajst-14944	70	33	and	and	CCONJ
ajst-14944	70	34	the	the	DET
ajst-14944	70	35	training	training	NOUN
ajst-14944	70	36	set	set	NOUN
ajst-14944	70	37	and	and	CCONJ
ajst-14944	70	38	validation	validation	NOUN
ajst-14944	70	39	set	set	NOUN
ajst-14944	70	40	are	be	AUX
ajst-14944	70	41	divided	divide	VERB
ajst-14944	70	42	according	accord	VERB
ajst-14944	70	43	to	to	ADP
ajst-14944	70	44	the	the	DET
ajst-14944	70	45	ratio	ratio	NOUN
ajst-14944	70	46	of	of	ADP
ajst-14944	70	47	8:2	8:2	NUM
ajst-14944	70	48	,	,	PUNCT
ajst-14944	70	49	and	and	CCONJ
ajst-14944	70	50	some	some	DET
ajst-14944	70	51	sample	sample	NOUN
ajst-14944	70	52	dataset	dataset	NOUN
ajst-14944	70	53	graphs	graph	NOUN
ajst-14944	70	54	are	be	AUX
ajst-14944	70	55	shown	show	VERB
ajst-14944	70	56	in	in	ADP
ajst-14944	70	57	figure	figure	NOUN
ajst-14944	70	58	.	.	PUNCT
ajst-14944	71	1	7	7	X
ajst-14944	71	2	.	.	X
ajst-14944	71	3	figure	figure	NOUN
ajst-14944	71	4	7	7	NUM
ajst-14944	71	5	.	.	NOUN
ajst-14944	71	6	example	example	NOUN
ajst-14944	71	7	of	of	ADP
ajst-14944	71	8	steel	steel	NOUN
ajst-14944	71	9	surface	surface	NOUN
ajst-14944	71	10	defects	defect	NOUN
ajst-14944	71	11	3.2	3.2	NUM
ajst-14944	71	12	.	.	PUNCT
ajst-14944	72	1	experimental	experimental	ADJ
ajst-14944	72	2	environment	environment	NOUN
ajst-14944	72	3	configureuration	configureuration	NOUN
ajst-14944	72	4	in	in	ADP
ajst-14944	72	5	this	this	DET
ajst-14944	72	6	paper	paper	NOUN
ajst-14944	72	7	,	,	PUNCT
ajst-14944	72	8	the	the	DET
ajst-14944	72	9	experimental	experimental	ADJ
ajst-14944	72	10	hardware	hardware	NOUN
ajst-14944	72	11	environment	environment	NOUN
ajst-14944	72	12	is	be	AUX
ajst-14944	72	13	configured	configure	VERB
ajst-14944	72	14	as	as	ADP
ajst-14944	72	15	nvidia	nvidia	PROPN
ajst-14944	72	16	geforce	geforce	NOUN
ajst-14944	72	17	rtx	rtx	PROPN
ajst-14944	72	18	3080	3080	NUM
ajst-14944	72	19	with	with	ADP
ajst-14944	72	20	12	12	NUM
ajst-14944	72	21	g	g	NOUN
ajst-14944	72	22	of	of	ADP
ajst-14944	72	23	video	video	NOUN
ajst-14944	72	24	memory	memory	NOUN
ajst-14944	72	25	,	,	PUNCT
ajst-14944	72	26	and	and	CCONJ
ajst-14944	72	27	the	the	DET
ajst-14944	72	28	compilation	compilation	NOUN
ajst-14944	72	29	environment	environment	NOUN
ajst-14944	72	30	is	be	AUX
ajst-14944	72	31	python3.8.16+torch2.0.0+cuda11.8	python3.8.16+torch2.0.0+cuda11.8	NOUN
ajst-14944	72	32	.	.	PUNCT
ajst-14944	72	33	training	training	NOUN
ajst-14944	72	34	is	be	AUX
ajst-14944	72	35	carried	carry	VERB
ajst-14944	72	36	out	out	ADP
ajst-14944	72	37	in	in	ADP
ajst-14944	72	38	the	the	DET
ajst-14944	72	39	pytorch	pytorch	NOUN
ajst-14944	72	40	network	network	NOUN
ajst-14944	72	41	framework	framework	NOUN
ajst-14944	72	42	,	,	PUNCT
ajst-14944	72	43	and	and	CCONJ
ajst-14944	72	44	the	the	DET
ajst-14944	72	45	optimiser	optimiser	NOUN
ajst-14944	72	46	is	be	AUX
ajst-14944	72	47	sgd	sgd	PROPN
ajst-14944	72	48	,	,	PUNCT
ajst-14944	72	49	with	with	SCONJ
ajst-14944	72	50	hyper	hyper	ADJ
ajst-14944	72	51	-	-	NOUN
ajst-14944	72	52	parameters	parameter	NOUN
ajst-14944	72	53	set	set	VERB
ajst-14944	72	54	to	to	ADP
ajst-14944	72	55	a	a	DET
ajst-14944	72	56	batch	batch	NOUN
ajst-14944	72	57	size	size	NOUN
ajst-14944	72	58	of	of	ADP
ajst-14944	72	59	32	32	NUM
ajst-14944	72	60	,	,	PUNCT
ajst-14944	72	61	a	a	DET
ajst-14944	72	62	training	training	NOUN
ajst-14944	72	63	period	period	NOUN
ajst-14944	72	64	of	of	ADP
ajst-14944	72	65	150	150	NUM
ajst-14944	72	66	,	,	PUNCT
ajst-14944	72	67	and	and	CCONJ
ajst-14944	72	68	an	an	DET
ajst-14944	72	69	initial	initial	ADJ
ajst-14944	72	70	learning	learning	NOUN
ajst-14944	72	71	rate	rate	NOUN
ajst-14944	72	72	of	of	ADP
ajst-14944	72	73	0.01	0.01	NUM
ajst-14944	72	74	,	,	PUNCT
ajst-14944	72	75	the	the	DET
ajst-14944	72	76	size	size	NOUN
ajst-14944	72	77	dimension	dimension	NOUN
ajst-14944	72	78	of	of	ADP
ajst-14944	72	79	the	the	DET
ajst-14944	72	80	input	input	NOUN
ajst-14944	72	81	image	image	NOUN
ajst-14944	72	82	is	be	AUX
ajst-14944	72	83	640×640	640×640	NUM
ajst-14944	72	84	,	,	PUNCT
ajst-14944	72	85	and	and	CCONJ
ajst-14944	72	86	none	none	NOUN
ajst-14944	72	87	of	of	ADP
ajst-14944	72	88	the	the	DET
ajst-14944	72	89	pretraining	pretraine	VERB
ajst-14944	72	90	weights	weight	NOUN
ajst-14944	72	91	are	be	AUX
ajst-14944	72	92	added	add	VERB
ajst-14944	72	93	during	during	ADP
ajst-14944	72	94	the	the	DET
ajst-14944	72	95	training	training	NOUN
ajst-14944	72	96	process	process	NOUN
ajst-14944	72	97	.	.	PUNCT
ajst-14944	73	1	c	c	NOUN
ajst-14944	73	2	―	―	INTJ
ajst-14944	73	3	g	g	PROPN
ajst-14944	73	4	c	c	NOUN
ajst-14944	73	5	―	―	INTJ
ajst-14944	73	6	g	g	PROPN
ajst-14944	73	7	c	c	NOUN
ajst-14944	73	8	―	―	INTJ
ajst-14944	73	9	g	g	PROPN
ajst-14944	73	10	c	c	NOUN
ajst-14944	73	11	―	―	INTJ
ajst-14944	73	12	g	g	PROPN
ajst-14944	73	13	w	w	PROPN
ajst-14944	73	14	h	h	PROPN
ajst-14944	73	15	w	w	PROPN
ajst-14944	73	16	’	'	PUNCT
ajst-14944	73	17	w	w	NOUN
ajst-14944	73	18	’	'	PUNCT
ajst-14944	73	19	h	h	NOUN
ajst-14944	73	20	’	'	PUNCT
ajst-14944	73	21	h	h	NOUN
ajst-14944	73	22	’	'	PUNCT
ajst-14944	73	23	*	*	PUNCT
ajst-14944	74	1	*	*	PUNCT
ajst-14944	74	2	k	k	X
ajst-14944	74	3	k	k	PROPN
ajst-14944	74	4	k	k	PROPN
ajst-14944	74	5	k	k	PROPN
ajst-14944	74	6	gconv	gconv	PROPN
ajst-14944	74	7	gconv	gconv	PROPN
ajst-14944	74	8	conv2d	conv2d	PROPN
ajst-14944	74	9	gconv	gconv	ADJ
ajst-14944	74	10	gconv	gconv	NOUN
ajst-14944	74	11	conv2d	conv2d	PROPN
ajst-14944	74	12	bbox.loss	bbox.loss	NUM
ajst-14944	74	13	cls.loss	cls.loss	NOUN
ajst-14944	74	14	gdetect	gdetect	NOUN
ajst-14944	74	15	54	54	NUM
ajst-14944	74	16	3.3	3.3	NUM
ajst-14944	74	17	.	.	PUNCT
ajst-14944	75	1	evaluation	evaluation	NOUN
ajst-14944	75	2	indicators	indicator	NOUN
ajst-14944	75	3	the	the	DET
ajst-14944	75	4	evaluation	evaluation	NOUN
ajst-14944	75	5	metrics	metric	NOUN
ajst-14944	75	6	used	use	VERB
ajst-14944	75	7	in	in	ADP
ajst-14944	75	8	this	this	DET
ajst-14944	75	9	paper	paper	NOUN
ajst-14944	75	10	are	be	AUX
ajst-14944	75	11	precision	precision	NOUN
ajst-14944	75	12	p	p	NOUN
ajst-14944	75	13	,	,	PUNCT
ajst-14944	75	14	recall	recall	NOUN
ajst-14944	75	15	r	r	NOUN
ajst-14944	75	16	,	,	PUNCT
ajst-14944	75	17	f1	f1	NOUN
ajst-14944	75	18	factor	factor	NOUN
ajst-14944	75	19	,	,	PUNCT
ajst-14944	75	20	mean	mean	ADJ
ajst-14944	75	21	precision	precision	NOUN
ajst-14944	75	22	map	map	NOUN
ajst-14944	75	23	,	,	PUNCT
ajst-14944	75	24	number	number	NOUN
ajst-14944	75	25	of	of	ADP
ajst-14944	75	26	parameters	parameter	NOUN
ajst-14944	75	27	params	param	NOUN
ajst-14944	75	28	,	,	PUNCT
ajst-14944	75	29	giga	giga	ADJ
ajst-14944	75	30	floating	float	VERB
ajst-14944	75	31	point	point	NOUN
ajst-14944	75	32	budgets	budget	NOUN
ajst-14944	75	33	per	per	ADP
ajst-14944	75	34	second	second	ADJ
ajst-14944	75	35	gflops	gflop	NOUN
ajst-14944	75	36	.	.	PUNCT
ajst-14944	76	1	the	the	DET
ajst-14944	76	2	relevant	relevant	ADJ
ajst-14944	76	3	formulas	formula	NOUN
ajst-14944	76	4	are	be	AUX
ajst-14944	76	5	as	as	SCONJ
ajst-14944	76	6	follows	follow	VERB
ajst-14944	76	7	:	:	PUNCT
ajst-14944	76	8	(	(	PUNCT
ajst-14944	76	9	)	)	PUNCT
ajst-14944	77	1	tp	tp	ADP
ajst-14944	77	2	p	p	PROPN
ajst-14944	77	3	tp	tp	ADP
ajst-14944	77	4	fp	fp	PROPN
ajst-14944	77	5			PROPN
ajst-14944	77	6			X
ajst-14944	77	7	(	(	PUNCT
ajst-14944	77	8	7	7	NUM
ajst-14944	77	9	)	)	PUNCT
ajst-14944	77	10	tp	tp	ADP
ajst-14944	77	11	r	r	NOUN
ajst-14944	77	12	tp	tp	NOUN
ajst-14944	78	1	fn	fn	PROPN
ajst-14944	79	1			PROPN
ajst-14944	79	2			X
ajst-14944	79	3	(	(	PUNCT
ajst-14944	79	4	8)	8)	NUM
ajst-14944	79	5	2	2	NUM
ajst-14944	79	6	(	(	PUNCT
ajst-14944	79	7	)	)	PUNCT
ajst-14944	79	8	1	1	NUM
ajst-14944	79	9	(	(	PUNCT
ajst-14944	79	10	)	)	PUNCT
ajst-14944	79	11	p	p	NOUN
ajst-14944	79	12	r	r	NOUN
ajst-14944	79	13	f	f	NOUN
ajst-14944	79	14	p	p	NOUN
ajst-14944	79	15	r	r	NOUN
ajst-14944	79	16			NOUN
ajst-14944	79	17			PROPN
ajst-14944	80	1			PROPN
ajst-14944	80	2			PUNCT
ajst-14944	80	3	(	(	PUNCT
ajst-14944	80	4	9	9	NUM
ajst-14944	80	5	)	)	SYM
ajst-14944	80	6	1	1	NUM
ajst-14944	80	7	0	0	NUM
ajst-14944	80	8	1	1	NUM
ajst-14944	80	9	1	1	NUM
ajst-14944	80	10	p(r	p(r	PROPN
ajst-14944	80	11	)	)	PUNCT
ajst-14944	80	12	(	(	PUNCT
ajst-14944	80	13	r	r	NOUN
ajst-14944	80	14	)	)	PUNCT
ajst-14944	80	15	n	n	NOUN
ajst-14944	81	1	i	i	PRON
ajst-14944	81	2	map	map	VERB
ajst-14944	81	3	d	d	VERB
ajst-14944	81	4	n	n	CCONJ
ajst-14944	82	1			NOUN
ajst-14944	82	2			NUM
ajst-14944	82	3			NOUN
ajst-14944	82	4	(	(	PUNCT
ajst-14944	82	5	10	10	NUM
ajst-14944	82	6	)	)	PUNCT
ajst-14944	82	7	in	in	ADP
ajst-14944	82	8	the	the	DET
ajst-14944	82	9	formula	formula	NOUN
ajst-14944	82	10	:	:	PUNCT
ajst-14944	82	11	tp	tp	NOUN
ajst-14944	82	12	represents	represent	VERB
ajst-14944	82	13	the	the	DET
ajst-14944	82	14	number	number	NOUN
ajst-14944	82	15	of	of	ADP
ajst-14944	82	16	true	true	ADJ
ajst-14944	82	17	examples	example	NOUN
ajst-14944	82	18	,	,	PUNCT
ajst-14944	82	19	fp	fp	X
ajst-14944	82	20	represents	represent	VERB
ajst-14944	82	21	the	the	DET
ajst-14944	82	22	number	number	NOUN
ajst-14944	82	23	of	of	ADP
ajst-14944	82	24	false	false	ADJ
ajst-14944	82	25	positive	positive	ADJ
ajst-14944	82	26	examples	example	NOUN
ajst-14944	82	27	,	,	PUNCT
ajst-14944	82	28	and	and	CCONJ
ajst-14944	82	29	fn	fn	NOUN
ajst-14944	82	30	represents	represent	VERB
ajst-14944	82	31	the	the	DET
ajst-14944	82	32	number	number	NOUN
ajst-14944	82	33	of	of	ADP
ajst-14944	82	34	false	false	ADJ
ajst-14944	82	35	negative	negative	ADJ
ajst-14944	82	36	examples	example	NOUN
ajst-14944	82	37	.	.	PUNCT
ajst-14944	83	1	among	among	ADP
ajst-14944	83	2	them	they	PRON
ajst-14944	83	3	,	,	PUNCT
ajst-14944	83	4	the	the	DET
ajst-14944	83	5	precision	precision	NOUN
ajst-14944	83	6	rate	rate	NOUN
ajst-14944	83	7	measures	measure	NOUN
ajst-14944	83	8	the	the	DET
ajst-14944	83	9	accuracy	accuracy	NOUN
ajst-14944	83	10	of	of	ADP
ajst-14944	83	11	the	the	DET
ajst-14944	83	12	model	model	NOUN
ajst-14944	83	13	in	in	ADP
ajst-14944	83	14	positive	positive	ADJ
ajst-14944	83	15	category	category	NOUN
ajst-14944	83	16	prediction	prediction	NOUN
ajst-14944	83	17	;	;	PUNCT
ajst-14944	83	18	the	the	DET
ajst-14944	83	19	recall	recall	NOUN
ajst-14944	83	20	rate	rate	NOUN
ajst-14944	83	21	measures	measure	NOUN
ajst-14944	83	22	the	the	DET
ajst-14944	83	23	model	model	NOUN
ajst-14944	83	24	's	's	PART
ajst-14944	83	25	coverage	coverage	NOUN
ajst-14944	83	26	rate	rate	NOUN
ajst-14944	83	27	in	in	ADP
ajst-14944	83	28	the	the	DET
ajst-14944	83	29	positive	positive	ADJ
ajst-14944	83	30	category	category	NOUN
ajst-14944	83	31	samples	sample	NOUN
ajst-14944	83	32	;	;	PUNCT
ajst-14944	83	33	the	the	DET
ajst-14944	83	34	f1	f1	NOUN
ajst-14944	83	35	factor	factor	NOUN
ajst-14944	83	36	is	be	AUX
ajst-14944	83	37	used	use	VERB
ajst-14944	83	38	to	to	PART
ajst-14944	83	39	comprehensively	comprehensively	ADV
ajst-14944	83	40	measure	measure	VERB
ajst-14944	83	41	the	the	DET
ajst-14944	83	42	performance	performance	NOUN
ajst-14944	83	43	of	of	ADP
ajst-14944	83	44	the	the	DET
ajst-14944	83	45	model	model	NOUN
ajst-14944	83	46	;	;	PUNCT
ajst-14944	83	47	the	the	DET
ajst-14944	83	48	average	average	ADJ
ajst-14944	83	49	accuracy	accuracy	NOUN
ajst-14944	83	50	rate	rate	NOUN
ajst-14944	83	51	calculates	calculate	VERB
ajst-14944	83	52	the	the	DET
ajst-14944	83	53	accuracy	accuracy	NOUN
ajst-14944	83	54	of	of	ADP
ajst-14944	83	55	the	the	DET
ajst-14944	83	56	model	model	NOUN
ajst-14944	83	57	in	in	ADP
ajst-14944	83	58	different	different	ADJ
ajst-14944	83	59	categories	category	NOUN
ajst-14944	83	60	.	.	PUNCT
ajst-14944	84	1	the	the	DET
ajst-14944	84	2	average	average	ADJ
ajst-14944	84	3	accuracy	accuracy	NOUN
ajst-14944	84	4	value	value	NOUN
ajst-14944	84	5	is	be	AUX
ajst-14944	84	6	then	then	ADV
ajst-14944	84	7	averaged	average	VERB
ajst-14944	84	8	;	;	PUNCT
ajst-14944	84	9	the	the	DET
ajst-14944	84	10	number	number	NOUN
ajst-14944	84	11	of	of	ADP
ajst-14944	84	12	parameters	parameter	NOUN
ajst-14944	84	13	refers	refer	VERB
ajst-14944	84	14	to	to	ADP
ajst-14944	84	15	the	the	DET
ajst-14944	84	16	number	number	NOUN
ajst-14944	84	17	of	of	ADP
ajst-14944	84	18	trainable	trainable	ADJ
ajst-14944	84	19	parameters	parameter	NOUN
ajst-14944	84	20	in	in	ADP
ajst-14944	84	21	the	the	DET
ajst-14944	84	22	model	model	NOUN
ajst-14944	84	23	.	.	PUNCT
ajst-14944	85	1	generally	generally	ADV
ajst-14944	85	2	,	,	PUNCT
ajst-14944	85	3	the	the	DET
ajst-14944	85	4	more	more	ADJ
ajst-14944	85	5	parameters	parameter	NOUN
ajst-14944	85	6	,	,	PUNCT
ajst-14944	85	7	the	the	DET
ajst-14944	85	8	more	more	ADV
ajst-14944	85	9	complex	complex	ADJ
ajst-14944	85	10	the	the	DET
ajst-14944	85	11	model	model	NOUN
ajst-14944	85	12	;	;	PUNCT
ajst-14944	85	13	gflops	gflop	NOUN
ajst-14944	85	14	represents	represent	VERB
ajst-14944	85	15	the	the	DET
ajst-14944	85	16	billions	billion	NOUN
ajst-14944	85	17	of	of	ADP
ajst-14944	85	18	floating	float	VERB
ajst-14944	85	19	point	point	NOUN
ajst-14944	85	20	operations	operation	NOUN
ajst-14944	85	21	performed	perform	VERB
ajst-14944	85	22	by	by	ADP
ajst-14944	85	23	the	the	DET
ajst-14944	85	24	model	model	NOUN
ajst-14944	85	25	per	per	ADP
ajst-14944	85	26	second	second	NOUN
ajst-14944	85	27	,	,	PUNCT
ajst-14944	85	28	and	and	CCONJ
ajst-14944	85	29	model	model	NOUN
ajst-14944	85	30	speed	speed	NOUN
ajst-14944	85	31	is	be	AUX
ajst-14944	85	32	related	relate	VERB
ajst-14944	85	33	to	to	ADP
ajst-14944	85	34	performance	performance	NOUN
ajst-14944	85	35	;	;	PUNCT
ajst-14944	85	36	3.4	3.4	NUM
ajst-14944	85	37	.	.	PUNCT
ajst-14944	85	38	ablation	ablation	NOUN
ajst-14944	85	39	experiment	experiment	NOUN
ajst-14944	85	40	in	in	ADP
ajst-14944	85	41	order	order	NOUN
ajst-14944	85	42	to	to	PART
ajst-14944	85	43	verify	verify	VERB
ajst-14944	85	44	the	the	DET
ajst-14944	85	45	effectiveness	effectiveness	NOUN
ajst-14944	85	46	of	of	ADP
ajst-14944	85	47	this	this	DET
ajst-14944	85	48	article	article	NOUN
ajst-14944	85	49	's	's	PART
ajst-14944	85	50	improvement	improvement	NOUN
ajst-14944	85	51	of	of	ADP
ajst-14944	85	52	the	the	DET
ajst-14944	85	53	yolov8	yolov8	NOUN
ajst-14944	85	54	network	network	NOUN
ajst-14944	85	55	structure	structure	NOUN
ajst-14944	85	56	,	,	PUNCT
ajst-14944	85	57	ablation	ablation	NOUN
ajst-14944	85	58	experiments	experiment	NOUN
ajst-14944	85	59	were	be	AUX
ajst-14944	85	60	conducted	conduct	VERB
ajst-14944	85	61	on	on	ADP
ajst-14944	85	62	different	different	ADJ
ajst-14944	85	63	improvement	improvement	NOUN
ajst-14944	85	64	points	point	NOUN
ajst-14944	85	65	under	under	ADP
ajst-14944	85	66	the	the	DET
ajst-14944	85	67	same	same	ADJ
ajst-14944	85	68	conditions	condition	NOUN
ajst-14944	85	69	in	in	ADP
ajst-14944	85	70	the	the	DET
ajst-14944	85	71	experimental	experimental	ADJ
ajst-14944	85	72	environment	environment	NOUN
ajst-14944	85	73	.	.	PUNCT
ajst-14944	86	1	the	the	DET
ajst-14944	86	2	results	result	NOUN
ajst-14944	86	3	are	be	AUX
ajst-14944	86	4	shown	show	VERB
ajst-14944	86	5	in	in	ADP
ajst-14944	86	6	table	table	NOUN
ajst-14944	86	7	1	1	NUM
ajst-14944	86	8	.	.	PUNCT
ajst-14944	87	1	the	the	DET
ajst-14944	87	2	first	first	ADJ
ajst-14944	87	3	set	set	NOUN
ajst-14944	87	4	of	of	ADP
ajst-14944	87	5	experiments	experiment	NOUN
ajst-14944	87	6	did	do	AUX
ajst-14944	87	7	not	not	PART
ajst-14944	87	8	make	make	VERB
ajst-14944	87	9	changes	change	NOUN
ajst-14944	87	10	to	to	ADP
ajst-14944	87	11	specific	specific	ADJ
ajst-14944	87	12	improvement	improvement	NOUN
ajst-14944	87	13	points	point	NOUN
ajst-14944	87	14	and	and	CCONJ
ajst-14944	87	15	served	serve	VERB
ajst-14944	87	16	as	as	ADP
ajst-14944	87	17	a	a	DET
ajst-14944	87	18	baseline	baseline	ADJ
ajst-14944	87	19	experiment	experiment	NOUN
ajst-14944	87	20	.	.	PUNCT
ajst-14944	88	1	the	the	DET
ajst-14944	88	2	second	second	ADJ
ajst-14944	88	3	set	set	NOUN
ajst-14944	88	4	of	of	ADP
ajst-14944	88	5	experiments	experiment	NOUN
ajst-14944	88	6	added	add	VERB
ajst-14944	88	7	the	the	DET
ajst-14944	88	8	dbb	dbb	PROPN
ajst-14944	88	9	module	module	NOUN
ajst-14944	88	10	,	,	PUNCT
ajst-14944	88	11	and	and	CCONJ
ajst-14944	88	12	the	the	DET
ajst-14944	88	13	precion	precion	NOUN
ajst-14944	88	14	,	,	PUNCT
ajst-14944	88	15	recall	recall	NOUN
ajst-14944	88	16	and	and	CCONJ
ajst-14944	88	17	map	map	NOUN
ajst-14944	88	18	were	be	AUX
ajst-14944	88	19	improved	improve	VERB
ajst-14944	88	20	,	,	PUNCT
ajst-14944	88	21	while	while	SCONJ
ajst-14944	88	22	the	the	DET
ajst-14944	88	23	number	number	NOUN
ajst-14944	88	24	of	of	ADP
ajst-14944	88	25	parameters	parameter	NOUN
ajst-14944	88	26	and	and	CCONJ
ajst-14944	88	27	calculations	calculation	NOUN
ajst-14944	88	28	of	of	ADP
ajst-14944	88	29	the	the	DET
ajst-14944	88	30	model	model	NOUN
ajst-14944	88	31	remained	remain	VERB
ajst-14944	88	32	unchanged	unchanged	ADJ
ajst-14944	88	33	.	.	PUNCT
ajst-14944	89	1	the	the	DET
ajst-14944	89	2	third	third	ADJ
ajst-14944	89	3	set	set	NOUN
ajst-14944	89	4	of	of	ADP
ajst-14944	89	5	experiments	experiment	NOUN
ajst-14944	89	6	added	add	VERB
ajst-14944	89	7	the	the	DET
ajst-14944	89	8	msca	msca	NOUN
ajst-14944	89	9	attention	attention	NOUN
ajst-14944	89	10	mechanism	mechanism	NOUN
ajst-14944	89	11	.	.	PUNCT
ajst-14944	90	1	precion	precion	NOUN
ajst-14944	90	2	,	,	PUNCT
ajst-14944	90	3	recall	recall	NOUN
ajst-14944	90	4	and	and	CCONJ
ajst-14944	90	5	map	map	NOUN
ajst-14944	90	6	were	be	AUX
ajst-14944	90	7	significantly	significantly	ADV
ajst-14944	90	8	improved	improve	VERB
ajst-14944	90	9	,	,	PUNCT
ajst-14944	90	10	reaching	reach	VERB
ajst-14944	90	11	70.4	70.4	NUM
ajst-14944	90	12	%	%	NOUN
ajst-14944	90	13	,	,	PUNCT
ajst-14944	90	14	73	73	NUM
ajst-14944	90	15	%	%	NOUN
ajst-14944	90	16	and	and	CCONJ
ajst-14944	90	17	77.3	77.3	NUM
ajst-14944	90	18	%	%	NOUN
ajst-14944	90	19	respectively	respectively	ADV
ajst-14944	90	20	,	,	PUNCT
ajst-14944	90	21	and	and	CCONJ
ajst-14944	90	22	the	the	DET
ajst-14944	90	23	number	number	NOUN
ajst-14944	90	24	of	of	ADP
ajst-14944	90	25	parameters	parameter	NOUN
ajst-14944	90	26	increased	increase	VERB
ajst-14944	90	27	slightly	slightly	ADV
ajst-14944	90	28	to	to	ADP
ajst-14944	90	29	8.2	8.2	NUM
ajst-14944	90	30	m.	m.	NOUN
ajst-14944	90	31	the	the	DET
ajst-14944	90	32	fourth	fourth	ADJ
ajst-14944	90	33	group	group	NOUN
ajst-14944	90	34	improved	improve	VERB
ajst-14944	90	35	the	the	DET
ajst-14944	90	36	detect	detect	NOUN
ajst-14944	90	37	module	module	NOUN
ajst-14944	90	38	,	,	PUNCT
ajst-14944	90	39	with	with	ADP
ajst-14944	90	40	precision	precision	NOUN
ajst-14944	90	41	reaching	reach	VERB
ajst-14944	90	42	74.9	74.9	NUM
ajst-14944	90	43	%	%	NOUN
ajst-14944	90	44	,	,	PUNCT
ajst-14944	90	45	but	but	CCONJ
ajst-14944	90	46	recall	recall	NOUN
ajst-14944	90	47	dropped	drop	VERB
ajst-14944	90	48	slightly	slightly	ADV
ajst-14944	90	49	to	to	ADP
ajst-14944	90	50	69.8	69.8	NUM
ajst-14944	90	51	%	%	NOUN
ajst-14944	90	52	,	,	PUNCT
ajst-14944	90	53	and	and	CCONJ
ajst-14944	90	54	map50	map50	PROPN
ajst-14944	90	55	was	be	AUX
ajst-14944	90	56	77.2	77.2	NUM
ajst-14944	90	57	%	%	NOUN
ajst-14944	90	58	.	.	PUNCT
ajst-14944	91	1	the	the	DET
ajst-14944	91	2	number	number	NOUN
ajst-14944	91	3	of	of	ADP
ajst-14944	91	4	parameters	parameter	NOUN
ajst-14944	91	5	is	be	AUX
ajst-14944	91	6	reduced	reduce	VERB
ajst-14944	91	7	to	to	ADP
ajst-14944	91	8	5.6	5.6	NUM
ajst-14944	91	9	m	m	NOUN
ajst-14944	91	10	,	,	PUNCT
ajst-14944	91	11	and	and	CCONJ
ajst-14944	91	12	glops	glop	NOUN
ajst-14944	91	13	are	be	AUX
ajst-14944	91	14	also	also	ADV
ajst-14944	91	15	significantly	significantly	ADV
ajst-14944	91	16	reduced	reduce	VERB
ajst-14944	91	17	to	to	ADP
ajst-14944	91	18	2.416	2.416	NUM
ajst-14944	91	19	.	.	PUNCT
ajst-14944	92	1	group	group	NOUN
ajst-14944	92	2	5	5	NUM
ajst-14944	92	3	improved	improve	VERB
ajst-14944	92	4	both	both	DET
ajst-14944	92	5	dbb	dbb	PROPN
ajst-14944	92	6	and	and	CCONJ
ajst-14944	92	7	msca	msca	PROPN
ajst-14944	92	8	,	,	PUNCT
ajst-14944	92	9	with	with	ADP
ajst-14944	92	10	a	a	DET
ajst-14944	92	11	map50	map50	NOUN
ajst-14944	92	12	of	of	ADP
ajst-14944	92	13	76.1	76.1	NUM
ajst-14944	92	14	%	%	NOUN
ajst-14944	92	15	.	.	PUNCT
ajst-14944	93	1	the	the	DET
ajst-14944	93	2	parameter	parameter	NOUN
ajst-14944	93	3	size	size	NOUN
ajst-14944	93	4	increases	increase	VERB
ajst-14944	93	5	to	to	ADP
ajst-14944	93	6	8.2	8.2	NUM
ajst-14944	93	7	m.	m.	NOUN
ajst-14944	93	8	the	the	DET
ajst-14944	93	9	sixth	sixth	ADJ
ajst-14944	93	10	set	set	NOUN
ajst-14944	93	11	of	of	ADP
ajst-14944	93	12	experiments	experiment	NOUN
ajst-14944	93	13	improves	improve	VERB
ajst-14944	93	14	dbb	dbb	PROPN
ajst-14944	93	15	and	and	CCONJ
ajst-14944	93	16	gdetect	gdetect	PROPN
ajst-14944	93	17	.	.	PUNCT
ajst-14944	94	1	precision	precision	NOUN
ajst-14944	94	2	dropped	drop	VERB
ajst-14944	94	3	to	to	ADP
ajst-14944	94	4	65.5	65.5	NUM
ajst-14944	94	5	%	%	NOUN
ajst-14944	94	6	,	,	PUNCT
ajst-14944	94	7	but	but	CCONJ
ajst-14944	94	8	recall	recall	NOUN
ajst-14944	94	9	increased	increase	VERB
ajst-14944	94	10	to	to	ADP
ajst-14944	94	11	72.4	72.4	NUM
ajst-14944	94	12	%	%	NOUN
ajst-14944	94	13	,	,	PUNCT
ajst-14944	94	14	and	and	CCONJ
ajst-14944	94	15	map50	map50	PROPN
ajst-14944	94	16	was	be	AUX
ajst-14944	94	17	76.0	76.0	NUM
ajst-14944	94	18	%	%	NOUN
ajst-14944	94	19	.	.	PUNCT
ajst-14944	95	1	the	the	DET
ajst-14944	95	2	number	number	NOUN
ajst-14944	95	3	of	of	ADP
ajst-14944	95	4	parameters	parameter	NOUN
ajst-14944	95	5	and	and	CCONJ
ajst-14944	95	6	glops	glop	NOUN
ajst-14944	95	7	is	be	AUX
ajst-14944	95	8	significantly	significantly	ADV
ajst-14944	95	9	reduced	reduce	VERB
ajst-14944	95	10	to	to	ADP
ajst-14944	95	11	5.6	5.6	NUM
ajst-14944	95	12	m	m	NOUN
ajst-14944	95	13	and	and	CCONJ
ajst-14944	95	14	2.417	2.417	NUM
ajst-14944	95	15	.	.	PUNCT
ajst-14944	96	1	group	group	NOUN
ajst-14944	96	2	7	7	NUM
ajst-14944	96	3	experiments	experiment	NOUN
ajst-14944	96	4	improve	improve	VERB
ajst-14944	96	5	msca	msca	NOUN
ajst-14944	96	6	and	and	CCONJ
ajst-14944	96	7	gdetect	gdetect	NOUN
ajst-14944	96	8	.	.	PUNCT
ajst-14944	97	1	precision	precision	NOUN
ajst-14944	97	2	reached	reach	VERB
ajst-14944	97	3	74.5	74.5	NUM
ajst-14944	97	4	%	%	NOUN
ajst-14944	97	5	,	,	PUNCT
ajst-14944	97	6	recall	recall	PROPN
ajst-14944	97	7	was	be	AUX
ajst-14944	97	8	72.6	72.6	NUM
ajst-14944	97	9	%	%	NOUN
ajst-14944	97	10	,	,	PUNCT
ajst-14944	97	11	and	and	CCONJ
ajst-14944	97	12	map50	map50	PROPN
ajst-14944	97	13	was	be	AUX
ajst-14944	97	14	significantly	significantly	ADV
ajst-14944	97	15	improved	improve	VERB
ajst-14944	97	16	to	to	ADP
ajst-14944	97	17	78.6	78.6	NUM
ajst-14944	97	18	%	%	NOUN
ajst-14944	97	19	.	.	PUNCT
ajst-14944	98	1	the	the	DET
ajst-14944	98	2	parameter	parameter	NOUN
ajst-14944	98	3	size	size	NOUN
ajst-14944	98	4	increased	increase	VERB
ajst-14944	98	5	slightly	slightly	ADV
ajst-14944	98	6	to	to	ADP
ajst-14944	98	7	5.7	5.7	NUM
ajst-14944	98	8	m.	m.	NOUN
ajst-14944	98	9	the	the	DET
ajst-14944	98	10	8th	8th	ADJ
ajst-14944	98	11	set	set	NOUN
ajst-14944	98	12	of	of	ADP
ajst-14944	98	13	experiments	experiment	NOUN
ajst-14944	98	14	improved	improve	VERB
ajst-14944	98	15	all	all	DET
ajst-14944	98	16	three	three	NUM
ajst-14944	98	17	aspects	aspect	NOUN
ajst-14944	98	18	.	.	PUNCT
ajst-14944	99	1	precision	precision	NOUN
ajst-14944	99	2	and	and	CCONJ
ajst-14944	99	3	recall	recall	PROPN
ajst-14944	99	4	reached	reach	VERB
ajst-14944	99	5	75.7	75.7	NUM
ajst-14944	99	6	%	%	NOUN
ajst-14944	99	7	and	and	CCONJ
ajst-14944	99	8	71.8	71.8	NUM
ajst-14944	99	9	%	%	NOUN
ajst-14944	99	10	respectively	respectively	ADV
ajst-14944	99	11	,	,	PUNCT
ajst-14944	99	12	and	and	CCONJ
ajst-14944	99	13	map50	map50	PROPN
ajst-14944	99	14	was	be	AUX
ajst-14944	99	15	78.9	78.9	NUM
ajst-14944	99	16	%	%	NOUN
ajst-14944	99	17	.	.	PUNCT
ajst-14944	100	1	the	the	DET
ajst-14944	100	2	number	number	NOUN
ajst-14944	100	3	of	of	ADP
ajst-14944	100	4	parameters	parameter	NOUN
ajst-14944	100	5	and	and	CCONJ
ajst-14944	100	6	glops	glop	NOUN
ajst-14944	100	7	remains	remain	VERB
ajst-14944	100	8	at	at	ADP
ajst-14944	100	9	5.7	5.7	NUM
ajst-14944	100	10	m.	m.	NOUN
ajst-14944	100	11	table	table	NOUN
ajst-14944	100	12	1	1	NUM
ajst-14944	100	13	.	.	PUNCT
ajst-14944	100	14	ablation	ablation	NOUN
ajst-14944	100	15	experiment	experiment	NOUN
ajst-14944	100	16	results	result	VERB
ajst-14944	100	17	no	no	INTJ
ajst-14944	100	18	.	.	PUNCT
ajst-14944	101	1	dbb	dbb	PROPN
ajst-14944	101	2	msca	msca	PROPN
ajst-14944	101	3	gdetect	gdetect	PROPN
ajst-14944	101	4	precion(%	precion(%	PROPN
ajst-14944	101	5	)	)	PUNCT
ajst-14944	101	6	recall(%	recall(%	ADJ
ajst-14944	101	7	)	)	PUNCT
ajst-14944	101	8	map50(%	map50(%	ADJ
ajst-14944	101	9	)	)	PUNCT
ajst-14944	101	10	params(m	params(m	PROPN
ajst-14944	101	11	)	)	PUNCT
ajst-14944	101	12	glops	glop	VERB
ajst-14944	101	13	1	1	NUM
ajst-14944	101	14	68.6	68.6	NUM
ajst-14944	101	15	70.4	70.4	NUM
ajst-14944	101	16	75.5	75.5	NUM
ajst-14944	101	17	3.007	3.007	NUM
ajst-14944	101	18	8.1	8.1	NUM
ajst-14944	101	19	2	2	NUM
ajst-14944	101	20			ADP
ajst-14944	101	21	68.8	68.8	NUM
ajst-14944	101	22	72.2	72.2	NUM
ajst-14944	101	23	75.7	75.7	NUM
ajst-14944	101	24	3.007	3.007	NUM
ajst-14944	101	25	8.1	8.1	NUM
ajst-14944	101	26	3	3	NUM
ajst-14944	101	27			ADP
ajst-14944	101	28	70.4	70.4	NUM
ajst-14944	101	29	73.0	73.0	NUM
ajst-14944	101	30	77.3	77.3	NUM
ajst-14944	101	31	3.101	3.101	NUM
ajst-14944	101	32	8.2	8.2	NUM
ajst-14944	101	33	4	4	NUM
ajst-14944	101	34			ADP
ajst-14944	101	35	74.9	74.9	NUM
ajst-14944	101	36	69.8	69.8	NUM
ajst-14944	101	37	77.2	77.2	NUM
ajst-14944	101	38	2.416	2.416	NUM
ajst-14944	101	39	5.6	5.6	NUM
ajst-14944	101	40	5	5	NUM
ajst-14944	101	41			PROPN
ajst-14944	101	42			PROPN
ajst-14944	102	1	69.6	69.6	NUM
ajst-14944	102	2	71.2	71.2	NUM
ajst-14944	102	3	76.1	76.1	NUM
ajst-14944	102	4	3.101	3.101	NUM
ajst-14944	102	5	8.2	8.2	NUM
ajst-14944	102	6	6	6	NUM
ajst-14944	102	7			PROPN
ajst-14944	102	8			PROPN
ajst-14944	102	9	65.5	65.5	NUM
ajst-14944	102	10	72.4	72.4	NUM
ajst-14944	102	11	76.0	76.0	NUM
ajst-14944	102	12	2.417	2.417	NUM
ajst-14944	102	13	5.6	5.6	NUM
ajst-14944	102	14	7	7	NUM
ajst-14944	102	15			PROPN
ajst-14944	102	16			PROPN
ajst-14944	102	17	74.5	74.5	NUM
ajst-14944	102	18	72.6	72.6	NUM
ajst-14944	102	19	78.6	78.6	NUM
ajst-14944	102	20	2.510	2.510	NUM
ajst-14944	102	21	5.7	5.7	NUM
ajst-14944	102	22	8	8	NUM
ajst-14944	102	23			PROPN
ajst-14944	102	24			PROPN
ajst-14944	102	25			ADV
ajst-14944	102	26	75.7	75.7	NUM
ajst-14944	102	27	71.8	71.8	NUM
ajst-14944	102	28	78.9	78.9	NUM
ajst-14944	102	29	2.510	2.510	NUM
ajst-14944	102	30	5.7	5.7	NUM
ajst-14944	102	31	in	in	ADP
ajst-14944	102	32	general	general	ADJ
ajst-14944	102	33	,	,	PUNCT
ajst-14944	102	34	using	use	VERB
ajst-14944	102	35	dbb	dbb	PROPN
ajst-14944	102	36	or	or	CCONJ
ajst-14944	102	37	msca	msca	NOUN
ajst-14944	102	38	alone	alone	ADV
ajst-14944	103	1	has	have	VERB
ajst-14944	103	2	limited	limit	VERB
ajst-14944	103	3	performance	performance	NOUN
ajst-14944	103	4	improvement	improvement	NOUN
ajst-14944	103	5	.	.	PUNCT
ajst-14944	104	1	however	however	ADV
ajst-14944	104	2	,	,	PUNCT
ajst-14944	104	3	the	the	DET
ajst-14944	104	4	application	application	NOUN
ajst-14944	104	5	of	of	ADP
ajst-14944	104	6	gdetect	gdetect	NOUN
ajst-14944	104	7	improves	improve	VERB
ajst-14944	104	8	precision	precision	NOUN
ajst-14944	104	9	while	while	SCONJ
ajst-14944	104	10	reducing	reduce	VERB
ajst-14944	104	11	parameters	parameter	NOUN
ajst-14944	104	12	and	and	CCONJ
ajst-14944	104	13	calculation	calculation	NOUN
ajst-14944	104	14	amount	amount	NOUN
ajst-14944	104	15	,	,	PUNCT
ajst-14944	104	16	while	while	SCONJ
ajst-14944	104	17	the	the	DET
ajst-14944	104	18	combination	combination	NOUN
ajst-14944	104	19	of	of	ADP
ajst-14944	104	20	msca	msca	NOUN
ajst-14944	104	21	and	and	CCONJ
ajst-14944	104	22	gdetect	gdetect	NOUN
ajst-14944	104	23	performs	perform	VERB
ajst-14944	104	24	well	well	ADV
ajst-14944	104	25	in	in	ADP
ajst-14944	104	26	all	all	DET
ajst-14944	104	27	indicators	indicator	NOUN
ajst-14944	104	28	,	,	PUNCT
ajst-14944	104	29	especially	especially	ADV
ajst-14944	104	30	when	when	SCONJ
ajst-14944	104	31	all	all	DET
ajst-14944	104	32	three	three	NUM
ajst-14944	104	33	improvement	improvement	NOUN
ajst-14944	104	34	points	point	NOUN
ajst-14944	104	35	are	be	AUX
ajst-14944	104	36	applied	apply	VERB
ajst-14944	104	37	,	,	PUNCT
ajst-14944	104	38	the	the	DET
ajst-14944	104	39	model	model	NOUN
ajst-14944	104	40	reaches	reach	VERB
ajst-14944	104	41	the	the	DET
ajst-14944	104	42	best	good	ADJ
ajst-14944	104	43	performance	performance	NOUN
ajst-14944	104	44	.	.	PUNCT
ajst-14944	105	1	3.5	3.5	NUM
ajst-14944	105	2	.	.	PUNCT
ajst-14944	105	3	comparative	comparative	ADJ
ajst-14944	105	4	experiment	experiment	NOUN
ajst-14944	105	5	in	in	ADP
ajst-14944	105	6	order	order	NOUN
ajst-14944	105	7	to	to	PART
ajst-14944	105	8	verify	verify	VERB
ajst-14944	105	9	the	the	DET
ajst-14944	105	10	effectiveness	effectiveness	NOUN
ajst-14944	105	11	of	of	ADP
ajst-14944	105	12	the	the	DET
ajst-14944	105	13	algorithm	algorithm	NOUN
ajst-14944	105	14	in	in	ADP
ajst-14944	105	15	this	this	DET
ajst-14944	105	16	paper	paper	NOUN
ajst-14944	105	17	,	,	PUNCT
ajst-14944	105	18	a	a	DET
ajst-14944	105	19	comparative	comparative	ADJ
ajst-14944	105	20	experiment	experiment	NOUN
ajst-14944	105	21	as	as	SCONJ
ajst-14944	105	22	shown	show	VERB
ajst-14944	105	23	in	in	ADP
ajst-14944	105	24	table	table	NOUN
ajst-14944	105	25	2	2	NUM
ajst-14944	105	26	was	be	AUX
ajst-14944	105	27	established	establish	VERB
ajst-14944	105	28	.	.	PUNCT
ajst-14944	106	1	the	the	DET
ajst-14944	106	2	experimental	experimental	ADJ
ajst-14944	106	3	results	result	NOUN
ajst-14944	106	4	show	show	VERB
ajst-14944	106	5	that	that	SCONJ
ajst-14944	106	6	after	after	ADP
ajst-14944	106	7	comparing	compare	VERB
ajst-14944	106	8	multiple	multiple	ADJ
ajst-14944	106	9	yolo	yolo	ADJ
ajst-14944	106	10	series	series	NOUN
ajst-14944	106	11	models	model	NOUN
ajst-14944	106	12	and	and	CCONJ
ajst-14944	106	13	the	the	DET
ajst-14944	106	14	improved	improved	ADJ
ajst-14944	106	15	algorithm	algorithm	NOUN
ajst-14944	106	16	proposed	propose	VERB
ajst-14944	106	17	in	in	ADP
ajst-14944	106	18	this	this	DET
ajst-14944	106	19	article	article	NOUN
ajst-14944	106	20	.	.	PUNCT
ajst-14944	107	1	in	in	ADP
ajst-14944	107	2	these	these	DET
ajst-14944	107	3	models	model	NOUN
ajst-14944	107	4	,	,	PUNCT
ajst-14944	107	5	the	the	DET
ajst-14944	107	6	algorithm	algorithm	NOUN
ajst-14944	107	7	in	in	ADP
ajst-14944	107	8	this	this	DET
ajst-14944	107	9	paper	paper	NOUN
ajst-14944	107	10	achieves	achieve	VERB
ajst-14944	107	11	satisfactory	satisfactory	ADJ
ajst-14944	107	12	performance	performance	NOUN
ajst-14944	107	13	with	with	ADP
ajst-14944	107	14	relatively	relatively	ADV
ajst-14944	107	15	low	low	ADJ
ajst-14944	107	16	parameters	parameter	NOUN
ajst-14944	107	17	and	and	CCONJ
ajst-14944	107	18	computational	computational	ADJ
ajst-14944	107	19	complexity	complexity	NOUN
ajst-14944	107	20	.	.	PUNCT
ajst-14944	108	1	yolov8s	yolov8	NOUN
ajst-14944	108	2	has	have	AUX
ajst-14944	108	3	reached	reach	VERB
ajst-14944	108	4	the	the	DET
ajst-14944	108	5	highest	high	ADJ
ajst-14944	108	6	level	level	NOUN
ajst-14944	108	7	in	in	ADP
ajst-14944	108	8	performance	performance	NOUN
ajst-14944	108	9	,	,	PUNCT
ajst-14944	108	10	but	but	CCONJ
ajst-14944	108	11	the	the	DET
ajst-14944	108	12	model	model	NOUN
ajst-14944	108	13	is	be	AUX
ajst-14944	108	14	larger	large	ADJ
ajst-14944	108	15	and	and	CCONJ
ajst-14944	108	16	requires	require	VERB
ajst-14944	108	17	more	more	ADJ
ajst-14944	108	18	computing	compute	VERB
ajst-14944	108	19	resources	resource	NOUN
ajst-14944	108	20	.	.	PUNCT
ajst-14944	109	1	in	in	ADP
ajst-14944	109	2	contrast	contrast	NOUN
ajst-14944	109	3	,	,	PUNCT
ajst-14944	109	4	the	the	DET
ajst-14944	109	5	algorithm	algorithm	NOUN
ajst-14944	109	6	in	in	ADP
ajst-14944	109	7	this	this	DET
ajst-14944	109	8	article	article	NOUN
ajst-14944	109	9	achieves	achieve	VERB
ajst-14944	109	10	performance	performance	NOUN
ajst-14944	109	11	close	close	ADV
ajst-14944	109	12	to	to	ADP
ajst-14944	109	13	yolov8s	yolov8	NOUN
ajst-14944	109	14	while	while	SCONJ
ajst-14944	109	15	keeping	keep	VERB
ajst-14944	109	16	the	the	DET
ajst-14944	109	17	model	model	NOUN
ajst-14944	109	18	lightweight	lightweight	NOUN
ajst-14944	109	19	,	,	PUNCT
ajst-14944	109	20	especially	especially	ADV
ajst-14944	109	21	in	in	ADP
ajst-14944	109	22	map50	map50	PROPN
ajst-14944	109	23	and	and	CCONJ
ajst-14944	109	24	precision	precision	NOUN
ajst-14944	109	25	indicators	indicator	NOUN
ajst-14944	109	26	.	.	PUNCT
ajst-14944	110	1	yolov6n	yolov6n	PROPN
ajst-14944	110	2	shows	show	VERB
ajst-14944	110	3	a	a	DET
ajst-14944	110	4	relatively	relatively	ADV
ajst-14944	110	5	balanced	balanced	ADJ
ajst-14944	110	6	state	state	NOUN
ajst-14944	110	7	,	,	PUNCT
ajst-14944	110	8	with	with	ADP
ajst-14944	110	9	both	both	PRON
ajst-14944	110	10	performance	performance	NOUN
ajst-14944	110	11	and	and	CCONJ
ajst-14944	110	12	model	model	NOUN
ajst-14944	110	13	complexity	complexity	NOUN
ajst-14944	110	14	at	at	ADP
ajst-14944	110	15	a	a	DET
ajst-14944	110	16	medium	medium	ADJ
ajst-14944	110	17	level	level	NOUN
ajst-14944	110	18	.	.	PUNCT
ajst-14944	111	1	however	however	ADV
ajst-14944	111	2	,	,	PUNCT
ajst-14944	111	3	the	the	DET
ajst-14944	111	4	performance	performance	NOUN
ajst-14944	111	5	of	of	ADP
ajst-14944	111	6	yolov7	yolov7	NOUN
ajst-14944	111	7	-	-	PUNCT
ajst-14944	111	8	tiny	tiny	ADJ
ajst-14944	111	9	is	be	AUX
ajst-14944	111	10	slightly	slightly	ADV
ajst-14944	111	11	insufficient	insufficient	ADJ
ajst-14944	111	12	in	in	ADP
ajst-14944	111	13	lightweight	lightweight	ADJ
ajst-14944	111	14	models	model	NOUN
ajst-14944	111	15	,	,	PUNCT
ajst-14944	111	16	while	while	SCONJ
ajst-14944	111	17	yolov5s	yolov5s	NOUN
ajst-14944	111	18	has	have	VERB
ajst-14944	111	19	relatively	relatively	ADV
ajst-14944	111	20	high	high	ADJ
ajst-14944	111	21	performance	performance	NOUN
ajst-14944	111	22	but	but	CCONJ
ajst-14944	111	23	larger	large	ADJ
ajst-14944	111	24	models	model	NOUN
ajst-14944	111	25	and	and	CCONJ
ajst-14944	111	26	more	more	ADJ
ajst-14944	111	27	complex	complex	ADJ
ajst-14944	111	28	calculations	calculation	NOUN
ajst-14944	111	29	.	.	PUNCT
ajst-14944	112	1	taken	take	VERB
ajst-14944	112	2	together	together	ADV
ajst-14944	112	3	,	,	PUNCT
ajst-14944	112	4	the	the	DET
ajst-14944	112	5	improvement	improvement	NOUN
ajst-14944	112	6	of	of	ADP
ajst-14944	112	7	the	the	DET
ajst-14944	112	8	yolov8	yolov8	NOUN
ajst-14944	112	9	network	network	NOUN
ajst-14944	112	10	structure	structure	NOUN
ajst-14944	112	11	by	by	ADP
ajst-14944	112	12	this	this	DET
ajst-14944	112	13	algorithm	algorithm	NOUN
ajst-14944	112	14	proves	prove	VERB
ajst-14944	112	15	its	its	PRON
ajst-14944	112	16	effectiveness	effectiveness	NOUN
ajst-14944	112	17	in	in	ADP
ajst-14944	112	18	model	model	NOUN
ajst-14944	112	19	simplification	simplification	NOUN
ajst-14944	112	20	and	and	CCONJ
ajst-14944	112	21	performance	performance	NOUN
ajst-14944	112	22	improvement	improvement	NOUN
ajst-14944	112	23	.	.	PUNCT
ajst-14944	113	1	55	55	NUM
ajst-14944	113	2	table	table	NOUN
ajst-14944	113	3	2	2	NUM
ajst-14944	113	4	.	.	PUNCT
ajst-14944	113	5	comparative	comparative	ADJ
ajst-14944	113	6	test	test	NOUN
ajst-14944	113	7	results	result	NOUN
ajst-14944	113	8	model	model	PROPN
ajst-14944	113	9	precion(%	precion(%	PROPN
ajst-14944	113	10	)	)	PUNCT
ajst-14944	113	11	recall(%	recall(%	ADJ
ajst-14944	113	12	)	)	PUNCT
ajst-14944	113	13	f1(%	f1(%	NOUN
ajst-14944	113	14	)	)	PUNCT
ajst-14944	113	15	map50(%	map50(%	NOUN
ajst-14944	113	16	)	)	PUNCT
ajst-14944	113	17	params(m	params(m	PROPN
ajst-14944	113	18	)	)	PUNCT
ajst-14944	113	19	glops	glop	NOUN
ajst-14944	113	20	yolov5n	yolov5n	PROPN
ajst-14944	114	1	67.2	67.2	NUM
ajst-14944	114	2	67.9	67.9	NUM
ajst-14944	114	3	65	65	NUM
ajst-14944	114	4	71.2	71.2	NUM
ajst-14944	114	5	1.767	1.767	NUM
ajst-14944	114	6	4.2	4.2	NUM
ajst-14944	114	7	yolov5s	yolov5s	NOUN
ajst-14944	114	8	64.5	64.5	NUM
ajst-14944	114	9	70.2	70.2	NUM
ajst-14944	114	10	66	66	NUM
ajst-14944	114	11	72.3	72.3	NUM
ajst-14944	114	12	7.026	7.026	NUM
ajst-14944	114	13	15.8	15.8	NUM
ajst-14944	114	14	yolov6n	yolov6n	NOUN
ajst-14944	114	15	70.5	70.5	NUM
ajst-14944	114	16	72.3	72.3	NUM
ajst-14944	114	17	71	71	NUM
ajst-14944	114	18	76.3	76.3	NUM
ajst-14944	114	19	4.234	4.234	NUM
ajst-14944	114	20	11.8	11.8	NUM
ajst-14944	114	21	yolov7	yolov7	ADV
ajst-14944	114	22	-	-	PUNCT
ajst-14944	114	23	tiny	tiny	ADJ
ajst-14944	114	24	57.3	57.3	NUM
ajst-14944	114	25	68.6	68.6	NUM
ajst-14944	114	26	59	59	NUM
ajst-14944	114	27	67.3	67.3	NUM
ajst-14944	114	28	6.028	6.028	NUM
ajst-14944	114	29	13.2	13.2	NUM
ajst-14944	114	30	yolov8n	yolov8n	NOUN
ajst-14944	114	31	68.6	68.6	NUM
ajst-14944	114	32	70.4	70.4	NUM
ajst-14944	114	33	70	70	NUM
ajst-14944	114	34	75.5	75.5	NUM
ajst-14944	114	35	3.007	3.007	NUM
ajst-14944	114	36	8.1	8.1	NUM
ajst-14944	114	37	yolov8s	yolov8	NOUN
ajst-14944	114	38	75.9	75.9	NUM
ajst-14944	114	39	73.1	73.1	NUM
ajst-14944	114	40	74	74	NUM
ajst-14944	114	41	77.0	77.0	NUM
ajst-14944	114	42	11.127	11.127	NUM
ajst-14944	114	43	28.4	28.4	NUM
ajst-14944	114	44	our	our	PRON
ajst-14944	114	45	75.7	75.7	NUM
ajst-14944	114	46	71.8	71.8	NUM
ajst-14944	114	47	73	73	NUM
ajst-14944	114	48	78.9	78.9	NUM
ajst-14944	114	49	2.510	2.510	NUM
ajst-14944	114	50	5.7	5.7	NUM
ajst-14944	114	51	table	table	NOUN
ajst-14944	114	52	3	3	NUM
ajst-14944	114	53	shows	show	VERB
ajst-14944	114	54	the	the	DET
ajst-14944	114	55	average	average	ADJ
ajst-14944	114	56	accuracy	accuracy	NOUN
ajst-14944	114	57	of	of	ADP
ajst-14944	114	58	each	each	DET
ajst-14944	114	59	category	category	NOUN
ajst-14944	114	60	under	under	ADP
ajst-14944	114	61	different	different	ADJ
ajst-14944	114	62	yolo	yolo	ADJ
ajst-14944	114	63	models	model	NOUN
ajst-14944	114	64	.	.	PUNCT
ajst-14944	115	1	it	it	PRON
ajst-14944	115	2	can	can	AUX
ajst-14944	115	3	be	be	AUX
ajst-14944	115	4	found	find	VERB
ajst-14944	115	5	that	that	SCONJ
ajst-14944	115	6	for	for	ADP
ajst-14944	115	7	each	each	DET
ajst-14944	115	8	defect	defect	NOUN
ajst-14944	115	9	category	category	NOUN
ajst-14944	115	10	,	,	PUNCT
ajst-14944	115	11	the	the	DET
ajst-14944	115	12	algorithm	algorithm	NOUN
ajst-14944	115	13	in	in	ADP
ajst-14944	115	14	this	this	DET
ajst-14944	115	15	paper	paper	NOUN
ajst-14944	115	16	has	have	AUX
ajst-14944	115	17	achieved	achieve	VERB
ajst-14944	115	18	the	the	DET
ajst-14944	115	19	highest	high	ADJ
ajst-14944	115	20	map	map	NOUN
ajst-14944	115	21	value	value	NOUN
ajst-14944	115	22	in	in	ADP
ajst-14944	115	23	most	most	ADJ
ajst-14944	115	24	cases	case	NOUN
ajst-14944	115	25	.	.	PUNCT
ajst-14944	116	1	especially	especially	ADV
ajst-14944	116	2	in	in	ADP
ajst-14944	116	3	the	the	DET
ajst-14944	116	4	categories	category	NOUN
ajst-14944	116	5	of	of	ADP
ajst-14944	116	6	"	"	PUNCT
ajst-14944	116	7	crazing	crazing	NOUN
ajst-14944	116	8	"	"	PUNCT
ajst-14944	116	9	,	,	PUNCT
ajst-14944	116	10	"	"	PUNCT
ajst-14944	116	11	patches	patch	NOUN
ajst-14944	116	12	"	"	PUNCT
ajst-14944	116	13	and	and	CCONJ
ajst-14944	116	14	"	"	PUNCT
ajst-14944	116	15	rolled	roll	VERB
ajst-14944	116	16	-	-	PUNCT
ajst-14944	116	17	in_scale	in_scale	NOUN
ajst-14944	116	18	"	"	PUNCT
ajst-14944	116	19	,	,	PUNCT
ajst-14944	116	20	this	this	DET
ajst-14944	116	21	algorithm	algorithm	NOUN
ajst-14944	116	22	shows	show	VERB
ajst-14944	116	23	obvious	obvious	ADJ
ajst-14944	116	24	advantages	advantage	NOUN
ajst-14944	116	25	,	,	PUNCT
ajst-14944	116	26	reaching	reach	VERB
ajst-14944	116	27	44.9	44.9	NUM
ajst-14944	116	28	%	%	NOUN
ajst-14944	116	29	,	,	PUNCT
ajst-14944	116	30	93.2	93.2	NUM
ajst-14944	116	31	%	%	NOUN
ajst-14944	116	32	and	and	CCONJ
ajst-14944	116	33	69.6	69.6	NUM
ajst-14944	116	34	%	%	NOUN
ajst-14944	116	35	map	map	NOUN
ajst-14944	116	36	respectively	respectively	ADV
ajst-14944	116	37	.	.	PUNCT
ajst-14944	117	1	in	in	ADP
ajst-14944	117	2	comparison	comparison	NOUN
ajst-14944	117	3	,	,	PUNCT
ajst-14944	117	4	there	there	PRON
ajst-14944	117	5	are	be	VERB
ajst-14944	117	6	differences	difference	NOUN
ajst-14944	117	7	in	in	ADP
ajst-14944	117	8	the	the	DET
ajst-14944	117	9	performance	performance	NOUN
ajst-14944	117	10	of	of	ADP
ajst-14944	117	11	other	other	ADJ
ajst-14944	117	12	models	model	NOUN
ajst-14944	117	13	in	in	ADP
ajst-14944	117	14	different	different	ADJ
ajst-14944	117	15	categories	category	NOUN
ajst-14944	117	16	,	,	PUNCT
ajst-14944	117	17	but	but	CCONJ
ajst-14944	117	18	overall	overall	ADV
ajst-14944	117	19	,	,	PUNCT
ajst-14944	117	20	yolov8s	yolov8	NOUN
ajst-14944	117	21	and	and	CCONJ
ajst-14944	117	22	yolov8n	yolov8n	NOUN
ajst-14944	117	23	also	also	ADV
ajst-14944	117	24	have	have	VERB
ajst-14944	117	25	better	well	ADJ
ajst-14944	117	26	performance	performance	NOUN
ajst-14944	117	27	in	in	ADP
ajst-14944	117	28	map	map	NOUN
ajst-14944	117	29	of	of	ADP
ajst-14944	117	30	each	each	DET
ajst-14944	117	31	category	category	NOUN
ajst-14944	117	32	,	,	PUNCT
ajst-14944	117	33	following	follow	VERB
ajst-14944	117	34	the	the	DET
ajst-14944	117	35	algorithm	algorithm	NOUN
ajst-14944	117	36	of	of	ADP
ajst-14944	117	37	this	this	DET
ajst-14944	117	38	article	article	NOUN
ajst-14944	117	39	.	.	PUNCT
ajst-14944	118	1	however	however	ADV
ajst-14944	118	2	,	,	PUNCT
ajst-14944	118	3	the	the	DET
ajst-14944	118	4	yolov5	yolov5	NOUN
ajst-14944	118	5	series	series	NOUN
ajst-14944	118	6	and	and	CCONJ
ajst-14944	118	7	yolov7	yolov7	NOUN
ajst-14944	118	8	-	-	PUNCT
ajst-14944	118	9	tiny	tiny	ADJ
ajst-14944	118	10	have	have	VERB
ajst-14944	118	11	significantly	significantly	ADV
ajst-14944	118	12	lower	low	ADJ
ajst-14944	118	13	map	map	NOUN
ajst-14944	118	14	than	than	ADP
ajst-14944	118	15	other	other	ADJ
ajst-14944	118	16	models	model	NOUN
ajst-14944	118	17	in	in	ADP
ajst-14944	118	18	most	most	ADJ
ajst-14944	118	19	categories	category	NOUN
ajst-14944	118	20	.	.	PUNCT
ajst-14944	119	1	taken	take	VERB
ajst-14944	119	2	together	together	ADV
ajst-14944	119	3	,	,	PUNCT
ajst-14944	119	4	the	the	DET
ajst-14944	119	5	algorithm	algorithm	NOUN
ajst-14944	119	6	in	in	ADP
ajst-14944	119	7	this	this	DET
ajst-14944	119	8	paper	paper	NOUN
ajst-14944	119	9	has	have	AUX
ajst-14944	119	10	achieved	achieve	VERB
ajst-14944	119	11	a	a	DET
ajst-14944	119	12	high	high	ADJ
ajst-14944	119	13	average	average	ADJ
ajst-14944	119	14	accuracy	accuracy	NOUN
ajst-14944	119	15	in	in	ADP
ajst-14944	119	16	each	each	DET
ajst-14944	119	17	defect	defect	NOUN
ajst-14944	119	18	category	category	NOUN
ajst-14944	119	19	,	,	PUNCT
ajst-14944	119	20	showing	show	VERB
ajst-14944	119	21	good	good	ADJ
ajst-14944	119	22	recognition	recognition	NOUN
ajst-14944	119	23	capabilities	capability	NOUN
ajst-14944	119	24	and	and	CCONJ
ajst-14944	119	25	overall	overall	ADJ
ajst-14944	119	26	performance	performance	NOUN
ajst-14944	119	27	improvement	improvement	NOUN
ajst-14944	119	28	for	for	ADP
ajst-14944	119	29	different	different	ADJ
ajst-14944	119	30	defect	defect	NOUN
ajst-14944	119	31	types	type	NOUN
ajst-14944	119	32	.	.	PUNCT
ajst-14944	120	1	table	table	NOUN
ajst-14944	120	2	3	3	NUM
ajst-14944	120	3	.	.	PUNCT
ajst-14944	120	4	average	average	ADJ
ajst-14944	120	5	accuracy	accuracy	NOUN
ajst-14944	120	6	results	result	NOUN
ajst-14944	120	7	of	of	ADP
ajst-14944	120	8	six	six	NUM
ajst-14944	120	9	types	type	NOUN
ajst-14944	120	10	of	of	ADP
ajst-14944	120	11	defects	defect	NOUN
ajst-14944	120	12	model	model	NOUN
ajst-14944	120	13	crazing	crazing	NOUN
ajst-14944	120	14	patches	patch	NOUN
ajst-14944	120	15	inclusion	inclusion	PROPN
ajst-14944	120	16	pitted_surface	pitted_surface	NOUN
ajst-14944	120	17	rolled	roll	VERB
ajst-14944	120	18	-	-	PUNCT
ajst-14944	120	19	in_scale	in_scale	NOUN
ajst-14944	120	20	scratches	scratch	NOUN
ajst-14944	120	21	yolov5n	yolov5n	NOUN
ajst-14944	121	1	36.8	36.8	NUM
ajst-14944	121	2	90.4	90.4	NUM
ajst-14944	121	3	79.6	79.6	NUM
ajst-14944	121	4	80.2	80.2	NUM
ajst-14944	121	5	54.4	54.4	NUM
ajst-14944	121	6	85.9	85.9	NUM
ajst-14944	121	7	yolov5s	yolov5s	NOUN
ajst-14944	121	8	33.3	33.3	NUM
ajst-14944	121	9	89.3	89.3	NUM
ajst-14944	121	10	81.1	81.1	NUM
ajst-14944	121	11	79.5	79.5	NUM
ajst-14944	121	12	63.0	63.0	NUM
ajst-14944	121	13	87.8	87.8	NUM
ajst-14944	121	14	yolov6n	yolov6n	PROPN
ajst-14944	121	15	41.5	41.5	NUM
ajst-14944	121	16	92.7	92.7	NUM
ajst-14944	121	17	80.3	80.3	NUM
ajst-14944	121	18	87.7	87.7	NUM
ajst-14944	121	19	64.8	64.8	NUM
ajst-14944	121	20	91.0	91.0	NUM
ajst-14944	121	21	yolov7	yolov7	ADV
ajst-14944	121	22	-	-	PUNCT
ajst-14944	121	23	tiny	tiny	ADJ
ajst-14944	121	24	28.4	28.4	NUM
ajst-14944	121	25	87.8	87.8	NUM
ajst-14944	121	26	71.9	71.9	NUM
ajst-14944	121	27	81.4	81.4	NUM
ajst-14944	121	28	52.4	52.4	NUM
ajst-14944	121	29	82.0	82.0	NUM
ajst-14944	121	30	yolov8n	yolov8n	NOUN
ajst-14944	121	31	39.2	39.2	NUM
ajst-14944	121	32	89.1	89.1	NUM
ajst-14944	121	33	86.0	86.0	NUM
ajst-14944	121	34	84.7	84.7	NUM
ajst-14944	121	35	63.9	63.9	NUM
ajst-14944	121	36	89.9	89.9	NUM
ajst-14944	121	37	yolov8s	yolov8	NOUN
ajst-14944	121	38	42.2	42.2	NUM
ajst-14944	121	39	92.0	92.0	NUM
ajst-14944	121	40	84.4	84.4	NUM
ajst-14944	121	41	85.6	85.6	NUM
ajst-14944	121	42	66.8	66.8	NUM
ajst-14944	121	43	91.0	91.0	NUM
ajst-14944	121	44	our	our	PRON
ajst-14944	121	45	44.9	44.9	NUM
ajst-14944	121	46	93.2	93.2	NUM
ajst-14944	121	47	86.5	86.5	NUM
ajst-14944	121	48	86.5	86.5	NUM
ajst-14944	121	49	69.6	69.6	NUM
ajst-14944	121	50	92.7	92.7	NUM
ajst-14944	121	51	3.6	3.6	NUM
ajst-14944	121	52	.	.	PUNCT
ajst-14944	122	1	visual	visual	ADJ
ajst-14944	122	2	result	result	VERB
ajst-14944	122	3	analysis	analysis	NOUN
ajst-14944	122	4	in	in	ADP
ajst-14944	122	5	order	order	NOUN
ajst-14944	122	6	to	to	PART
ajst-14944	122	7	verify	verify	VERB
ajst-14944	122	8	the	the	DET
ajst-14944	122	9	superiority	superiority	NOUN
ajst-14944	122	10	of	of	ADP
ajst-14944	122	11	this	this	DET
ajst-14944	122	12	algorithm	algorithm	NOUN
ajst-14944	122	13	in	in	ADP
ajst-14944	122	14	actual	actual	ADJ
ajst-14944	122	15	detection	detection	NOUN
ajst-14944	122	16	,	,	PUNCT
ajst-14944	122	17	6	6	NUM
ajst-14944	122	18	sets	set	NOUN
ajst-14944	122	19	of	of	ADP
ajst-14944	122	20	experimental	experimental	ADJ
ajst-14944	122	21	comparisons	comparison	NOUN
ajst-14944	122	22	are	be	AUX
ajst-14944	122	23	designed	design	VERB
ajst-14944	122	24	as	as	SCONJ
ajst-14944	122	25	shown	show	VERB
ajst-14944	122	26	in	in	ADP
ajst-14944	122	27	figure	figure	NOUN
ajst-14944	122	28	8	8	NUM
ajst-14944	122	29	.	.	PUNCT
ajst-14944	123	1	first	first	ADV
ajst-14944	123	2	,	,	PUNCT
ajst-14944	123	3	group	group	NOUN
ajst-14944	123	4	a	a	DET
ajst-14944	123	5	results	result	NOUN
ajst-14944	123	6	show	show	VERB
ajst-14944	123	7	that	that	SCONJ
ajst-14944	123	8	the	the	DET
ajst-14944	123	9	algorithm	algorithm	NOUN
ajst-14944	123	10	in	in	ADP
ajst-14944	123	11	this	this	DET
ajst-14944	123	12	paper	paper	NOUN
ajst-14944	123	13	surpasses	surpass	VERB
ajst-14944	123	14	the	the	DET
ajst-14944	123	15	original	original	ADJ
ajst-14944	123	16	yolov8n	yolov8n	NOUN
ajst-14944	123	17	in	in	ADP
ajst-14944	123	18	terms	term	NOUN
ajst-14944	123	19	of	of	ADP
ajst-14944	123	20	detection	detection	NOUN
ajst-14944	123	21	accuracy	accuracy	NOUN
ajst-14944	123	22	,	,	PUNCT
ajst-14944	123	23	which	which	PRON
ajst-14944	123	24	means	mean	VERB
ajst-14944	123	25	that	that	SCONJ
ajst-14944	123	26	the	the	DET
ajst-14944	123	27	algorithm	algorithm	NOUN
ajst-14944	123	28	in	in	ADP
ajst-14944	123	29	this	this	DET
ajst-14944	123	30	paper	paper	NOUN
ajst-14944	123	31	identifies	identify	VERB
ajst-14944	123	32	defects	defect	NOUN
ajst-14944	123	33	more	more	ADV
ajst-14944	123	34	accurately	accurately	ADV
ajst-14944	123	35	.	.	PUNCT
ajst-14944	124	1	secondly	secondly	ADV
ajst-14944	124	2	,	,	PUNCT
ajst-14944	124	3	the	the	DET
ajst-14944	124	4	results	result	NOUN
ajst-14944	124	5	of	of	ADP
ajst-14944	124	6	groups	group	NOUN
ajst-14944	124	7	c	c	PROPN
ajst-14944	124	8	and	and	CCONJ
ajst-14944	124	9	f	f	PROPN
ajst-14944	124	10	show	show	VERB
ajst-14944	124	11	that	that	SCONJ
ajst-14944	124	12	compared	compare	VERB
ajst-14944	124	13	with	with	ADP
ajst-14944	124	14	the	the	DET
ajst-14944	124	15	original	original	ADJ
ajst-14944	124	16	yolov8n	yolov8n	NOUN
ajst-14944	124	17	,	,	PUNCT
ajst-14944	124	18	the	the	DET
ajst-14944	124	19	algorithm	algorithm	NOUN
ajst-14944	124	20	in	in	ADP
ajst-14944	124	21	this	this	DET
ajst-14944	124	22	paper	paper	NOUN
ajst-14944	124	23	has	have	VERB
ajst-14944	124	24	a	a	DET
ajst-14944	124	25	lower	low	ADJ
ajst-14944	124	26	miss	miss	NOUN
ajst-14944	124	27	detection	detection	NOUN
ajst-14944	124	28	rate	rate	NOUN
ajst-14944	124	29	,	,	PUNCT
ajst-14944	124	30	which	which	PRON
ajst-14944	124	31	means	mean	VERB
ajst-14944	124	32	it	it	PRON
ajst-14944	124	33	is	be	AUX
ajst-14944	124	34	easier	easy	ADJ
ajst-14944	124	35	to	to	PART
ajst-14944	124	36	capture	capture	VERB
ajst-14944	124	37	potential	potential	ADJ
ajst-14944	124	38	defects	defect	NOUN
ajst-14944	124	39	,	,	PUNCT
ajst-14944	124	40	thus	thus	ADV
ajst-14944	124	41	improving	improve	VERB
ajst-14944	124	42	the	the	DET
ajst-14944	124	43	comprehensiveness	comprehensiveness	NOUN
ajst-14944	124	44	of	of	ADP
ajst-14944	124	45	detection	detection	NOUN
ajst-14944	124	46	.	.	PUNCT
ajst-14944	125	1	the	the	DET
ajst-14944	125	2	results	result	NOUN
ajst-14944	125	3	of	of	ADP
ajst-14944	125	4	groups	group	NOUN
ajst-14944	125	5	b	b	PROPN
ajst-14944	125	6	and	and	CCONJ
ajst-14944	125	7	e	e	PROPN
ajst-14944	125	8	show	show	VERB
ajst-14944	125	9	that	that	SCONJ
ajst-14944	125	10	the	the	DET
ajst-14944	125	11	original	original	ADJ
ajst-14944	125	12	yolov8n	yolov8n	NOUN
ajst-14944	125	13	has	have	VERB
ajst-14944	125	14	the	the	DET
ajst-14944	125	15	problem	problem	NOUN
ajst-14944	125	16	of	of	ADP
ajst-14944	125	17	bounding	bound	VERB
ajst-14944	125	18	box	box	NOUN
ajst-14944	125	19	overlap	overlap	NOUN
ajst-14944	125	20	.	.	PUNCT
ajst-14944	126	1	the	the	DET
ajst-14944	126	2	algorithm	algorithm	NOUN
ajst-14944	126	3	in	in	ADP
ajst-14944	126	4	this	this	DET
ajst-14944	126	5	paper	paper	NOUN
ajst-14944	126	6	can	can	AUX
ajst-14944	126	7	improve	improve	VERB
ajst-14944	126	8	the	the	DET
ajst-14944	126	9	comprehensive	comprehensive	ADJ
ajst-14944	126	10	extraction	extraction	NOUN
ajst-14944	126	11	of	of	ADP
ajst-14944	126	12	defect	defect	ADJ
ajst-14944	126	13	features	feature	NOUN
ajst-14944	126	14	,	,	PUNCT
ajst-14944	126	15	solve	solve	VERB
ajst-14944	126	16	the	the	DET
ajst-14944	126	17	problem	problem	NOUN
ajst-14944	126	18	of	of	ADP
ajst-14944	126	19	bounding	bound	VERB
ajst-14944	126	20	box	box	NOUN
ajst-14944	126	21	overlap	overlap	NOUN
ajst-14944	126	22	,	,	PUNCT
ajst-14944	126	23	and	and	CCONJ
ajst-14944	126	24	improve	improve	VERB
ajst-14944	126	25	detection	detection	NOUN
ajst-14944	126	26	accuracy	accuracy	NOUN
ajst-14944	126	27	.	.	PUNCT
ajst-14944	127	1	finally	finally	ADV
ajst-14944	127	2	,	,	PUNCT
ajst-14944	127	3	the	the	DET
ajst-14944	127	4	results	result	NOUN
ajst-14944	127	5	of	of	ADP
ajst-14944	127	6	group	group	NOUN
ajst-14944	127	7	d	d	NOUN
ajst-14944	127	8	show	show	VERB
ajst-14944	127	9	that	that	SCONJ
ajst-14944	127	10	the	the	DET
ajst-14944	127	11	algorithm	algorithm	NOUN
ajst-14944	127	12	in	in	ADP
ajst-14944	127	13	this	this	DET
ajst-14944	127	14	paper	paper	NOUN
ajst-14944	127	15	has	have	AUX
ajst-14944	127	16	reduced	reduce	VERB
ajst-14944	127	17	the	the	DET
ajst-14944	127	18	false	false	ADJ
ajst-14944	127	19	detection	detection	NOUN
ajst-14944	127	20	rate	rate	NOUN
ajst-14944	127	21	,	,	PUNCT
ajst-14944	127	22	which	which	PRON
ajst-14944	127	23	means	mean	VERB
ajst-14944	127	24	that	that	SCONJ
ajst-14944	127	25	normal	normal	ADJ
ajst-14944	127	26	objects	object	NOUN
ajst-14944	127	27	are	be	AUX
ajst-14944	127	28	less	less	ADV
ajst-14944	127	29	likely	likely	ADJ
ajst-14944	127	30	to	to	PART
ajst-14944	127	31	be	be	AUX
ajst-14944	127	32	misjudged	misjudge	VERB
ajst-14944	127	33	as	as	ADP
ajst-14944	127	34	defects	defect	NOUN
ajst-14944	127	35	,	,	PUNCT
ajst-14944	127	36	thereby	thereby	ADV
ajst-14944	127	37	reducing	reduce	VERB
ajst-14944	127	38	the	the	DET
ajst-14944	127	39	risk	risk	NOUN
ajst-14944	127	40	of	of	ADP
ajst-14944	127	41	false	false	ADJ
ajst-14944	127	42	positives	positive	NOUN
ajst-14944	127	43	.	.	PUNCT
ajst-14944	128	1	taken	take	VERB
ajst-14944	128	2	together	together	ADV
ajst-14944	128	3	,	,	PUNCT
ajst-14944	128	4	the	the	DET
ajst-14944	128	5	algorithm	algorithm	NOUN
ajst-14944	128	6	in	in	ADP
ajst-14944	128	7	this	this	DET
ajst-14944	128	8	paper	paper	NOUN
ajst-14944	128	9	has	have	AUX
ajst-14944	128	10	achieved	achieve	VERB
ajst-14944	128	11	significant	significant	ADJ
ajst-14944	128	12	improvements	improvement	NOUN
ajst-14944	128	13	in	in	ADP
ajst-14944	128	14	accuracy	accuracy	NOUN
ajst-14944	128	15	,	,	PUNCT
ajst-14944	128	16	missed	miss	VERB
ajst-14944	128	17	detection	detection	NOUN
ajst-14944	128	18	rate	rate	NOUN
ajst-14944	128	19	,	,	PUNCT
ajst-14944	128	20	and	and	CCONJ
ajst-14944	128	21	false	false	ADJ
ajst-14944	128	22	detection	detection	NOUN
ajst-14944	128	23	rate	rate	NOUN
ajst-14944	128	24	,	,	PUNCT
ajst-14944	128	25	making	make	VERB
ajst-14944	128	26	it	it	PRON
ajst-14944	128	27	a	a	DET
ajst-14944	128	28	more	more	ADV
ajst-14944	128	29	reliable	reliable	ADJ
ajst-14944	128	30	and	and	CCONJ
ajst-14944	128	31	efficient	efficient	ADJ
ajst-14944	128	32	defect	defect	NOUN
ajst-14944	128	33	detection	detection	NOUN
ajst-14944	128	34	tool	tool	NOUN
ajst-14944	128	35	.	.	PUNCT
ajst-14944	129	1	figure	figure	NOUN
ajst-14944	129	2	8	8	NUM
ajst-14944	129	3	visualization	visualization	NOUN
ajst-14944	129	4	results	result	NOUN
ajst-14944	129	5	chart	chart	VERB
ajst-14944	129	6	4	4	NUM
ajst-14944	129	7	.	.	PUNCT
ajst-14944	130	1	conclusion	conclusion	NOUN
ajst-14944	130	2	this	this	DET
ajst-14944	130	3	study	study	NOUN
ajst-14944	130	4	proposes	propose	VERB
ajst-14944	130	5	a	a	DET
ajst-14944	130	6	steel	steel	NOUN
ajst-14944	130	7	surface	surface	NOUN
ajst-14944	130	8	defect	defect	NOUN
ajst-14944	130	9	detection	detection	NOUN
ajst-14944	130	10	method	method	NOUN
ajst-14944	130	11	based	base	VERB
ajst-14944	130	12	on	on	ADP
ajst-14944	130	13	the	the	DET
ajst-14944	130	14	improved	improved	ADJ
ajst-14944	130	15	yolov8	yolov8	NOUN
ajst-14944	130	16	model	model	NOUN
ajst-14944	130	17	,	,	PUNCT
ajst-14944	130	18	aiming	aim	VERB
ajst-14944	130	19	to	to	PART
ajst-14944	130	20	cope	cope	VERB
ajst-14944	130	21	with	with	ADP
ajst-14944	130	22	the	the	DET
ajst-14944	130	23	limitations	limitation	NOUN
ajst-14944	130	24	of	of	ADP
ajst-14944	130	25	existing	exist	VERB
ajst-14944	130	26	models	model	NOUN
ajst-14944	130	27	in	in	ADP
ajst-14944	130	28	terms	term	NOUN
ajst-14944	130	29	of	of	ADP
ajst-14944	130	30	performance	performance	NOUN
ajst-14944	130	31	and	and	CCONJ
ajst-14944	130	32	computing	compute	VERB
ajst-14944	130	33	resource	resource	NOUN
ajst-14944	130	34	requirements	requirement	NOUN
ajst-14944	130	35	.	.	PUNCT
ajst-14944	131	1	by	by	ADP
ajst-14944	131	2	introducing	introduce	VERB
ajst-14944	131	3	the	the	DET
ajst-14944	131	4	dbb	dbb	PROPN
ajst-14944	131	5	module	module	NOUN
ajst-14944	131	6	,	,	PUNCT
ajst-14944	131	7	msca	msca	NOUN
ajst-14944	131	8	attention	attention	NOUN
ajst-14944	131	9	mechanism	mechanism	NOUN
ajst-14944	131	10	and	and	CCONJ
ajst-14944	131	11	improvements	improvement	NOUN
ajst-14944	131	12	to	to	ADP
ajst-14944	131	13	the	the	DET
ajst-14944	131	14	gdetect	gdetect	NOUN
ajst-14944	131	15	module	module	NOUN
ajst-14944	131	16	,	,	PUNCT
ajst-14944	131	17	the	the	DET
ajst-14944	131	18	algorithm	algorithm	NOUN
ajst-14944	131	19	in	in	ADP
ajst-14944	131	20	this	this	DET
ajst-14944	131	21	paper	paper	NOUN
ajst-14944	131	22	has	have	AUX
ajst-14944	131	23	achieved	achieve	VERB
ajst-14944	131	24	significant	significant	ADJ
ajst-14944	131	25	performance	performance	NOUN
ajst-14944	131	26	improvements	improvement	NOUN
ajst-14944	131	27	in	in	ADP
ajst-14944	131	28	the	the	DET
ajst-14944	131	29	steel	steel	NOUN
ajst-14944	131	30	surface	surface	NOUN
ajst-14944	131	31	defect	defect	NOUN
ajst-14944	131	32	detection	detection	NOUN
ajst-14944	131	33	task	task	NOUN
ajst-14944	131	34	.	.	PUNCT
ajst-14944	132	1	first	first	ADV
ajst-14944	132	2	of	of	ADP
ajst-14944	132	3	all	all	PRON
ajst-14944	132	4	,	,	PUNCT
ajst-14944	132	5	experimental	experimental	ADJ
ajst-14944	132	6	results	result	NOUN
ajst-14944	132	7	show	show	VERB
ajst-14944	132	8	that	that	SCONJ
ajst-14944	132	9	using	use	VERB
ajst-14944	132	10	dbb	dbb	PROPN
ajst-14944	132	11	or	or	CCONJ
ajst-14944	132	12	56	56	NUM
ajst-14944	132	13	msca	msca	NOUN
ajst-14944	132	14	alone	alone	ADV
ajst-14944	132	15	has	have	VERB
ajst-14944	132	16	limited	limit	VERB
ajst-14944	132	17	performance	performance	NOUN
ajst-14944	132	18	improvement	improvement	NOUN
ajst-14944	132	19	,	,	PUNCT
ajst-14944	132	20	while	while	SCONJ
ajst-14944	132	21	the	the	DET
ajst-14944	132	22	application	application	NOUN
ajst-14944	132	23	of	of	ADP
ajst-14944	132	24	the	the	DET
ajst-14944	132	25	gdetect	gdetect	NOUN
ajst-14944	132	26	module	module	NOUN
ajst-14944	132	27	improves	improve	VERB
ajst-14944	132	28	detection	detection	NOUN
ajst-14944	132	29	accuracy	accuracy	NOUN
ajst-14944	132	30	while	while	SCONJ
ajst-14944	132	31	reducing	reduce	VERB
ajst-14944	132	32	parameters	parameter	NOUN
ajst-14944	132	33	and	and	CCONJ
ajst-14944	132	34	calculation	calculation	NOUN
ajst-14944	132	35	volume	volume	NOUN
ajst-14944	132	36	.	.	PUNCT
ajst-14944	133	1	especially	especially	ADV
ajst-14944	133	2	when	when	SCONJ
ajst-14944	133	3	combined	combine	VERB
ajst-14944	133	4	with	with	ADP
ajst-14944	133	5	msca	msca	NOUN
ajst-14944	133	6	and	and	CCONJ
ajst-14944	133	7	gdetect	gdetect	NOUN
ajst-14944	133	8	improvements	improvement	NOUN
ajst-14944	133	9	,	,	PUNCT
ajst-14944	133	10	the	the	DET
ajst-14944	133	11	model	model	NOUN
ajst-14944	133	12	performs	perform	VERB
ajst-14944	133	13	excellently	excellently	ADV
ajst-14944	133	14	in	in	ADP
ajst-14944	133	15	precision	precision	NOUN
ajst-14944	133	16	,	,	PUNCT
ajst-14944	133	17	recall	recall	NOUN
ajst-14944	133	18	and	and	CCONJ
ajst-14944	133	19	average	average	ADJ
ajst-14944	133	20	precision	precision	NOUN
ajst-14944	133	21	.	.	PUNCT
ajst-14944	134	1	the	the	DET
ajst-14944	134	2	ablation	ablation	NOUN
ajst-14944	134	3	experiment	experiment	NOUN
ajst-14944	134	4	verified	verify	VERB
ajst-14944	134	5	the	the	DET
ajst-14944	134	6	effectiveness	effectiveness	NOUN
ajst-14944	134	7	of	of	ADP
ajst-14944	134	8	the	the	DET
ajst-14944	134	9	improvement	improvement	NOUN
ajst-14944	134	10	method	method	NOUN
ajst-14944	134	11	proposed	propose	VERB
ajst-14944	134	12	in	in	ADP
ajst-14944	134	13	this	this	DET
ajst-14944	134	14	article	article	NOUN
ajst-14944	134	15	,	,	PUNCT
ajst-14944	134	16	and	and	CCONJ
ajst-14944	134	17	pointed	point	VERB
ajst-14944	134	18	out	out	ADP
ajst-14944	134	19	the	the	DET
ajst-14944	134	20	contribution	contribution	NOUN
ajst-14944	134	21	of	of	ADP
ajst-14944	134	22	each	each	DET
ajst-14944	134	23	improvement	improvement	NOUN
ajst-14944	134	24	point	point	NOUN
ajst-14944	134	25	,	,	PUNCT
ajst-14944	134	26	providing	provide	VERB
ajst-14944	134	27	guidance	guidance	NOUN
ajst-14944	134	28	for	for	ADP
ajst-14944	134	29	further	further	ADJ
ajst-14944	134	30	improvements	improvement	NOUN
ajst-14944	134	31	.	.	PUNCT
ajst-14944	135	1	comparative	comparative	ADJ
ajst-14944	135	2	experimental	experimental	ADJ
ajst-14944	135	3	results	result	NOUN
ajst-14944	135	4	show	show	VERB
ajst-14944	135	5	that	that	SCONJ
ajst-14944	135	6	compared	compare	VERB
ajst-14944	135	7	with	with	ADP
ajst-14944	135	8	other	other	ADJ
ajst-14944	135	9	yolo	yolo	ADJ
ajst-14944	135	10	series	series	NOUN
ajst-14944	135	11	models	model	NOUN
ajst-14944	135	12	,	,	PUNCT
ajst-14944	135	13	the	the	DET
ajst-14944	135	14	algorithm	algorithm	NOUN
ajst-14944	135	15	in	in	ADP
ajst-14944	135	16	this	this	DET
ajst-14944	135	17	paper	paper	NOUN
ajst-14944	135	18	achieves	achieve	VERB
ajst-14944	135	19	satisfactory	satisfactory	ADJ
ajst-14944	135	20	performance	performance	NOUN
ajst-14944	135	21	while	while	SCONJ
ajst-14944	135	22	keeping	keep	VERB
ajst-14944	135	23	the	the	DET
ajst-14944	135	24	model	model	NOUN
ajst-14944	135	25	lightweight	lightweight	NOUN
ajst-14944	135	26	.	.	PUNCT
ajst-14944	136	1	especially	especially	ADV
ajst-14944	136	2	in	in	ADP
ajst-14944	136	3	terms	term	NOUN
ajst-14944	136	4	of	of	ADP
ajst-14944	136	5	map50	map50	PROPN
ajst-14944	136	6	and	and	CCONJ
ajst-14944	136	7	precision	precision	NOUN
ajst-14944	136	8	indicators	indicator	NOUN
ajst-14944	136	9	,	,	PUNCT
ajst-14944	136	10	the	the	DET
ajst-14944	136	11	algorithm	algorithm	NOUN
ajst-14944	136	12	in	in	ADP
ajst-14944	136	13	this	this	DET
ajst-14944	136	14	paper	paper	NOUN
ajst-14944	136	15	achieves	achieve	VERB
ajst-14944	136	16	performance	performance	NOUN
ajst-14944	136	17	levels	level	NOUN
ajst-14944	136	18	close	close	ADJ
ajst-14944	136	19	to	to	ADP
ajst-14944	136	20	the	the	DET
ajst-14944	136	21	optimal	optimal	ADJ
ajst-14944	136	22	model	model	NOUN
ajst-14944	136	23	with	with	ADP
ajst-14944	136	24	lower	low	ADJ
ajst-14944	136	25	parameters	parameter	NOUN
ajst-14944	136	26	and	and	CCONJ
ajst-14944	136	27	computational	computational	ADJ
ajst-14944	136	28	complexity	complexity	NOUN
ajst-14944	136	29	.	.	PUNCT
ajst-14944	137	1	in	in	ADP
ajst-14944	137	2	addition	addition	NOUN
ajst-14944	137	3	,	,	PUNCT
ajst-14944	137	4	the	the	DET
ajst-14944	137	5	average	average	ADJ
ajst-14944	137	6	accuracy	accuracy	NOUN
ajst-14944	137	7	of	of	ADP
ajst-14944	137	8	different	different	ADJ
ajst-14944	137	9	defect	defect	NOUN
ajst-14944	137	10	categories	category	NOUN
ajst-14944	137	11	shows	show	VERB
ajst-14944	137	12	that	that	SCONJ
ajst-14944	137	13	the	the	DET
ajst-14944	137	14	algorithm	algorithm	NOUN
ajst-14944	137	15	in	in	ADP
ajst-14944	137	16	this	this	DET
ajst-14944	137	17	paper	paper	NOUN
ajst-14944	137	18	has	have	VERB
ajst-14944	137	19	good	good	ADJ
ajst-14944	137	20	recognition	recognition	NOUN
ajst-14944	137	21	ability	ability	NOUN
ajst-14944	137	22	and	and	CCONJ
ajst-14944	137	23	performance	performance	NOUN
ajst-14944	137	24	in	in	ADP
ajst-14944	137	25	each	each	DET
ajst-14944	137	26	category	category	NOUN
ajst-14944	137	27	.	.	PUNCT
ajst-14944	138	1	through	through	ADP
ajst-14944	138	2	visual	visual	ADJ
ajst-14944	138	3	result	result	NOUN
ajst-14944	138	4	analysis	analysis	NOUN
ajst-14944	138	5	,	,	PUNCT
ajst-14944	138	6	the	the	DET
ajst-14944	138	7	algorithm	algorithm	NOUN
ajst-14944	138	8	in	in	ADP
ajst-14944	138	9	this	this	DET
ajst-14944	138	10	paper	paper	NOUN
ajst-14944	138	11	has	have	AUX
ajst-14944	138	12	achieved	achieve	VERB
ajst-14944	138	13	significant	significant	ADJ
ajst-14944	138	14	improvements	improvement	NOUN
ajst-14944	138	15	in	in	ADP
ajst-14944	138	16	detection	detection	NOUN
ajst-14944	138	17	accuracy	accuracy	NOUN
ajst-14944	138	18	,	,	PUNCT
ajst-14944	138	19	missed	miss	VERB
ajst-14944	138	20	detection	detection	NOUN
ajst-14944	138	21	rate	rate	NOUN
ajst-14944	138	22	,	,	PUNCT
ajst-14944	138	23	and	and	CCONJ
ajst-14944	138	24	false	false	ADJ
ajst-14944	138	25	detection	detection	NOUN
ajst-14944	138	26	rate	rate	NOUN
ajst-14944	138	27	.	.	PUNCT
ajst-14944	139	1	compared	compare	VERB
ajst-14944	139	2	with	with	ADP
ajst-14944	139	3	the	the	DET
ajst-14944	139	4	original	original	ADJ
ajst-14944	139	5	yolov8	yolov8	NOUN
ajst-14944	139	6	model	model	NOUN
ajst-14944	139	7	,	,	PUNCT
ajst-14944	139	8	the	the	DET
ajst-14944	139	9	algorithm	algorithm	NOUN
ajst-14944	139	10	in	in	ADP
ajst-14944	139	11	this	this	DET
ajst-14944	139	12	paper	paper	NOUN
ajst-14944	139	13	can	can	AUX
ajst-14944	139	14	identify	identify	VERB
ajst-14944	139	15	defects	defect	NOUN
ajst-14944	139	16	more	more	ADV
ajst-14944	139	17	accurately	accurately	ADV
ajst-14944	139	18	,	,	PUNCT
ajst-14944	139	19	improve	improve	VERB
ajst-14944	139	20	detection	detection	NOUN
ajst-14944	139	21	comprehensiveness	comprehensiveness	NOUN
ajst-14944	139	22	,	,	PUNCT
ajst-14944	139	23	and	and	CCONJ
ajst-14944	139	24	reduce	reduce	VERB
ajst-14944	139	25	the	the	DET
ajst-14944	139	26	missed	miss	VERB
ajst-14944	139	27	detection	detection	NOUN
ajst-14944	139	28	rate	rate	NOUN
ajst-14944	139	29	and	and	CCONJ
ajst-14944	139	30	false	false	ADJ
ajst-14944	139	31	detection	detection	NOUN
ajst-14944	139	32	rate	rate	NOUN
ajst-14944	139	33	,	,	PUNCT
ajst-14944	139	34	making	make	VERB
ajst-14944	139	35	it	it	PRON
ajst-14944	139	36	a	a	DET
ajst-14944	139	37	more	more	ADV
ajst-14944	139	38	reliable	reliable	ADJ
ajst-14944	139	39	and	and	CCONJ
ajst-14944	139	40	efficient	efficient	ADJ
ajst-14944	139	41	steel	steel	NOUN
ajst-14944	139	42	surface	surface	NOUN
ajst-14944	139	43	defect	defect	NOUN
ajst-14944	139	44	detection	detection	NOUN
ajst-14944	139	45	tool	tool	NOUN
ajst-14944	139	46	.	.	PUNCT
ajst-14944	140	1	in	in	ADP
ajst-14944	140	2	summary	summary	NOUN
ajst-14944	140	3	,	,	PUNCT
ajst-14944	140	4	the	the	DET
ajst-14944	140	5	improved	improved	ADJ
ajst-14944	140	6	method	method	NOUN
ajst-14944	140	7	proposed	propose	VERB
ajst-14944	140	8	in	in	ADP
ajst-14944	140	9	this	this	DET
ajst-14944	140	10	paper	paper	NOUN
ajst-14944	140	11	has	have	AUX
ajst-14944	140	12	achieved	achieve	VERB
ajst-14944	140	13	significant	significant	ADJ
ajst-14944	140	14	performance	performance	NOUN
ajst-14944	140	15	improvement	improvement	NOUN
ajst-14944	140	16	in	in	ADP
ajst-14944	140	17	the	the	DET
ajst-14944	140	18	task	task	NOUN
ajst-14944	140	19	of	of	ADP
ajst-14944	140	20	detecting	detect	VERB
ajst-14944	140	21	steel	steel	NOUN
ajst-14944	140	22	surface	surface	NOUN
ajst-14944	140	23	defects	defect	NOUN
ajst-14944	140	24	.	.	PUNCT
ajst-14944	141	1	future	future	ADJ
ajst-14944	141	2	research	research	NOUN
ajst-14944	141	3	can	can	AUX
ajst-14944	141	4	continue	continue	VERB
ajst-14944	141	5	to	to	PART
ajst-14944	141	6	explore	explore	VERB
ajst-14944	141	7	more	more	ADV
ajst-14944	141	8	effective	effective	ADJ
ajst-14944	141	9	model	model	NOUN
ajst-14944	141	10	fusion	fusion	NOUN
ajst-14944	141	11	strategies	strategy	NOUN
ajst-14944	141	12	,	,	PUNCT
ajst-14944	141	13	data	datum	NOUN
ajst-14944	141	14	enhancement	enhancement	NOUN
ajst-14944	141	15	techniques	technique	NOUN
ajst-14944	141	16	,	,	PUNCT
ajst-14944	141	17	and	and	CCONJ
ajst-14944	141	18	more	more	ADJ
ajst-14944	141	19	refined	refined	ADJ
ajst-14944	141	20	model	model	NOUN
ajst-14944	141	21	parameter	parameter	NOUN
ajst-14944	141	22	tuning	tune	VERB
ajst-14944	141	23	to	to	PART
ajst-14944	141	24	further	far	ADV
ajst-14944	141	25	improve	improve	VERB
ajst-14944	141	26	the	the	DET
ajst-14944	141	27	accuracy	accuracy	NOUN
ajst-14944	141	28	and	and	CCONJ
ajst-14944	141	29	efficiency	efficiency	NOUN
ajst-14944	141	30	of	of	ADP
ajst-14944	141	31	steel	steel	NOUN
ajst-14944	141	32	surface	surface	NOUN
ajst-14944	141	33	defect	defect	NOUN
ajst-14944	141	34	detection	detection	NOUN
ajst-14944	141	35	.	.	PUNCT
ajst-14944	142	1	references	reference	NOUN
ajst-14944	142	2	[	[	X
ajst-14944	142	3	1	1	NUM
ajst-14944	142	4	]	]	X
ajst-14944	142	5	ren	ren	PROPN
ajst-14944	142	6	s	s	PROPN
ajst-14944	142	7	,	,	PUNCT
ajst-14944	142	8	he	he	PRON
ajst-14944	142	9	k	k	NOUN
ajst-14944	142	10	,	,	PUNCT
ajst-14944	142	11	girshick	girshick	ADJ
ajst-14944	142	12	r	r	NOUN
ajst-14944	142	13	,	,	PUNCT
ajst-14944	142	14	et	et	PROPN
ajst-14944	142	15	al	al	PROPN
ajst-14944	142	16	.	.	PUNCT
ajst-14944	143	1	faster	fast	ADJ
ajst-14944	143	2	r	r	NOUN
ajst-14944	143	3	-	-	PUNCT
ajst-14944	143	4	cnn	cnn	NOUN
ajst-14944	143	5	:	:	PUNCT
ajst-14944	143	6	towards	towards	ADP
ajst-14944	143	7	realtime	realtime	ADJ
ajst-14944	143	8	object	object	NOUN
ajst-14944	143	9	detection	detection	NOUN
ajst-14944	143	10	with	with	ADP
ajst-14944	143	11	region	region	NOUN
ajst-14944	143	12	proposal	proposal	NOUN
ajst-14944	143	13	networks	network	NOUN
ajst-14944	144	1	[	[	X
ajst-14944	144	2	j	j	X
ajst-14944	144	3	]	]	X
ajst-14944	144	4	.	.	PUNCT
ajst-14944	145	1	advances	advance	NOUN
ajst-14944	145	2	in	in	ADP
ajst-14944	145	3	neural	neural	ADJ
ajst-14944	145	4	information	information	NOUN
ajst-14944	145	5	processing	processing	NOUN
ajst-14944	145	6	systems	system	NOUN
ajst-14944	145	7	,	,	PUNCT
ajst-14944	145	8	2015	2015	NUM
ajst-14944	145	9	,	,	PUNCT
ajst-14944	145	10	28	28	NUM
ajst-14944	145	11	.	.	PUNCT
ajst-14944	146	1	[	[	X
ajst-14944	146	2	2	2	NUM
ajst-14944	146	3	]	]	PUNCT
ajst-14944	146	4	lin	lin	PROPN
ajst-14944	146	5	t	t	PROPN
ajst-14944	146	6	y	y	PROPN
ajst-14944	146	7	,	,	PUNCT
ajst-14944	146	8	dollár	dollár	NOUN
ajst-14944	146	9	p	p	NOUN
ajst-14944	146	10	,	,	PUNCT
ajst-14944	146	11	girshick	girshick	ADJ
ajst-14944	146	12	r	r	NOUN
ajst-14944	146	13	,	,	PUNCT
ajst-14944	146	14	et	et	PROPN
ajst-14944	146	15	al	al	PROPN
ajst-14944	146	16	.	.	PROPN
ajst-14944	147	1	feature	feature	PROPN
ajst-14944	147	2	pyramid	pyramid	NOUN
ajst-14944	147	3	networks	network	NOUN
ajst-14944	147	4	for	for	ADP
ajst-14944	147	5	object	object	NOUN
ajst-14944	147	6	detection[c]//proceedings	detection[c]//proceeding	NOUN
ajst-14944	147	7	of	of	ADP
ajst-14944	147	8	the	the	DET
ajst-14944	147	9	ieee	ieee	NOUN
ajst-14944	147	10	conference	conference	NOUN
ajst-14944	147	11	on	on	ADP
ajst-14944	147	12	computer	computer	NOUN
ajst-14944	147	13	vision	vision	NOUN
ajst-14944	147	14	and	and	CCONJ
ajst-14944	147	15	pattern	pattern	NOUN
ajst-14944	147	16	recognition	recognition	NOUN
ajst-14944	147	17	.	.	PUNCT
ajst-14944	148	1	2017	2017	NUM
ajst-14944	148	2	:	:	PUNCT
ajst-14944	148	3	2117	2117	NUM
ajst-14944	148	4	-	-	SYM
ajst-14944	148	5	2125	2125	NUM
ajst-14944	148	6	.	.	PUNCT
ajst-14944	149	1	[	[	X
ajst-14944	149	2	3	3	X
ajst-14944	149	3	]	]	X
ajst-14944	149	4	girshick	girshick	PROPN
ajst-14944	149	5	r.	r.	PROPN
ajst-14944	149	6	fast	fast	ADV
ajst-14944	149	7	r	r	NOUN
ajst-14944	149	8	-	-	PUNCT
ajst-14944	149	9	cnn[c]//proceedings	cnn[c]//proceeding	NOUN
ajst-14944	149	10	of	of	ADP
ajst-14944	149	11	the	the	DET
ajst-14944	149	12	ieee	ieee	NOUN
ajst-14944	149	13	international	international	PROPN
ajst-14944	149	14	conference	conference	NOUN
ajst-14944	149	15	on	on	ADP
ajst-14944	149	16	computer	computer	NOUN
ajst-14944	149	17	vision	vision	NOUN
ajst-14944	149	18	.	.	PUNCT
ajst-14944	150	1	2015	2015	NUM
ajst-14944	150	2	:	:	PUNCT
ajst-14944	150	3	1440	1440	NUM
ajst-14944	150	4	-	-	SYM
ajst-14944	150	5	1448	1448	NUM
ajst-14944	150	6	.	.	PUNCT
ajst-14944	151	1	[	[	X
ajst-14944	151	2	4	4	NUM
ajst-14944	151	3	]	]	X
ajst-14944	151	4	tian	tian	PROPN
ajst-14944	151	5	z	z	PROPN
ajst-14944	151	6	,	,	PUNCT
ajst-14944	151	7	shen	shen	PROPN
ajst-14944	151	8	c	c	X
ajst-14944	151	9	,	,	PUNCT
ajst-14944	151	10	chen	chen	PROPN
ajst-14944	151	11	h	h	PROPN
ajst-14944	151	12	,	,	PUNCT
ajst-14944	151	13	et	et	PROPN
ajst-14944	151	14	al	al	PROPN
ajst-14944	151	15	.	.	PUNCT
ajst-14944	151	16	fcos	fcos	PROPN
ajst-14944	151	17	:	:	PUNCT
ajst-14944	151	18	fully	fully	ADV
ajst-14944	151	19	convolutional	convolutional	ADJ
ajst-14944	151	20	onestage	onestage	NOUN
ajst-14944	151	21	object	object	NOUN
ajst-14944	151	22	detection[c]//proceedings	detection[c]//proceeding	NOUN
ajst-14944	151	23	of	of	ADP
ajst-14944	151	24	the	the	DET
ajst-14944	151	25	ieee	ieee	NOUN
ajst-14944	151	26	/	/	SYM
ajst-14944	151	27	cvf	cvf	NOUN
ajst-14944	151	28	international	international	ADJ
ajst-14944	151	29	conference	conference	NOUN
ajst-14944	151	30	on	on	ADP
ajst-14944	151	31	computer	computer	NOUN
ajst-14944	151	32	vision	vision	NOUN
ajst-14944	151	33	.	.	PUNCT
ajst-14944	152	1	2019	2019	NUM
ajst-14944	152	2	:	:	PUNCT
ajst-14944	152	3	9627	9627	NUM
ajst-14944	152	4	-	-	SYM
ajst-14944	152	5	9636	9636	NUM
ajst-14944	152	6	.	.	PUNCT
ajst-14944	153	1	[	[	X
ajst-14944	153	2	5	5	X
ajst-14944	153	3	]	]	X
ajst-14944	153	4	liu	liu	PROPN
ajst-14944	153	5	w	w	PROPN
ajst-14944	153	6	,	,	PUNCT
ajst-14944	153	7	anguelov	anguelov	NOUN
ajst-14944	153	8	d	d	NOUN
ajst-14944	153	9	,	,	PUNCT
ajst-14944	153	10	erhan	erhan	ADP
ajst-14944	153	11	d	d	PROPN
ajst-14944	153	12	,	,	PUNCT
ajst-14944	153	13	et	et	PROPN
ajst-14944	153	14	al	al	PROPN
ajst-14944	153	15	.	.	PROPN
ajst-14944	153	16	ssd	ssd	PROPN
ajst-14944	153	17	:	:	PUNCT
ajst-14944	153	18	single	single	ADJ
ajst-14944	153	19	shot	shot	PROPN
ajst-14944	153	20	multibox	multibox	PROPN
ajst-14944	153	21	detector[c]//computer	detector[c]//computer	PROPN
ajst-14944	153	22	vision	vision	NOUN
ajst-14944	153	23	–	–	PUNCT
ajst-14944	153	24	eccv	eccv	NOUN
ajst-14944	153	25	2016	2016	NUM
ajst-14944	153	26	:	:	PUNCT
ajst-14944	153	27	14th	14th	ADJ
ajst-14944	153	28	european	european	ADJ
ajst-14944	153	29	conference	conference	PROPN
ajst-14944	153	30	,	,	PUNCT
ajst-14944	153	31	amsterdam	amsterdam	PROPN
ajst-14944	153	32	,	,	PUNCT
ajst-14944	153	33	the	the	DET
ajst-14944	153	34	netherlands	netherlands	PROPN
ajst-14944	153	35	,	,	PUNCT
ajst-14944	153	36	october	october	PROPN
ajst-14944	153	37	11–14	11–14	NUM
ajst-14944	153	38	,	,	PUNCT
ajst-14944	153	39	2016	2016	NUM
ajst-14944	153	40	,	,	PUNCT
ajst-14944	153	41	proceedings	proceeding	NOUN
ajst-14944	153	42	,	,	PUNCT
ajst-14944	153	43	part	part	NOUN
ajst-14944	153	44	i	i	PRON
ajst-14944	153	45	14	14	NUM
ajst-14944	153	46	.	.	PUNCT
ajst-14944	154	1	springer	springer	NOUN
ajst-14944	154	2	international	international	ADJ
ajst-14944	154	3	publishing	publishing	NOUN
ajst-14944	154	4	,	,	PUNCT
ajst-14944	154	5	2016	2016	NUM
ajst-14944	154	6	:	:	PUNCT
ajst-14944	154	7	21	21	NUM
ajst-14944	154	8	-	-	SYM
ajst-14944	154	9	37	37	NUM
ajst-14944	154	10	.	.	PUNCT
ajst-14944	155	1	[	[	X
ajst-14944	155	2	6	6	NUM
ajst-14944	155	3	]	]	PUNCT
ajst-14944	155	4	lin	lin	PROPN
ajst-14944	155	5	t	t	PROPN
ajst-14944	155	6	y	y	PROPN
ajst-14944	155	7	,	,	PUNCT
ajst-14944	155	8	goyal	goyal	PROPN
ajst-14944	155	9	p	p	NOUN
ajst-14944	155	10	,	,	PUNCT
ajst-14944	155	11	girshick	girshick	ADJ
ajst-14944	155	12	r	r	NOUN
ajst-14944	155	13	,	,	PUNCT
ajst-14944	155	14	et	et	PROPN
ajst-14944	155	15	al	al	PROPN
ajst-14944	155	16	.	.	PROPN
ajst-14944	155	17	focal	focal	ADJ
ajst-14944	155	18	loss	loss	NOUN
ajst-14944	155	19	for	for	ADP
ajst-14944	155	20	dense	dense	ADJ
ajst-14944	155	21	object	object	NOUN
ajst-14944	155	22	detection[c]//proceedings	detection[c]//proceeding	NOUN
ajst-14944	155	23	of	of	ADP
ajst-14944	155	24	the	the	DET
ajst-14944	155	25	ieee	ieee	NOUN
ajst-14944	155	26	international	international	PROPN
ajst-14944	155	27	conference	conference	NOUN
ajst-14944	155	28	on	on	ADP
ajst-14944	155	29	computer	computer	NOUN
ajst-14944	155	30	vision	vision	NOUN
ajst-14944	155	31	.	.	PUNCT
ajst-14944	156	1	2017	2017	NUM
ajst-14944	156	2	:	:	PUNCT
ajst-14944	156	3	2980	2980	NUM
ajst-14944	156	4	-	-	SYM
ajst-14944	156	5	2988	2988	NUM
ajst-14944	156	6	.	.	PUNCT
ajst-14944	157	1	[	[	X
ajst-14944	157	2	7	7	X
ajst-14944	157	3	]	]	X
ajst-14944	157	4	redmon	redmon	PROPN
ajst-14944	157	5	j	j	PROPN
ajst-14944	157	6	,	,	PUNCT
ajst-14944	157	7	farhadi	farhadi	PROPN
ajst-14944	157	8	a.	a.	PROPN
ajst-14944	157	9	yolov3	yolov3	PROPN
ajst-14944	157	10	:	:	PUNCT
ajst-14944	157	11	an	an	DET
ajst-14944	157	12	incremental	incremental	ADJ
ajst-14944	157	13	improvement[j	improvement[j	NOUN
ajst-14944	157	14	]	]	PUNCT
ajst-14944	157	15	.	.	PUNCT
ajst-14944	158	1	arxiv	arxiv	PROPN
ajst-14944	158	2	preprint	preprint	VERB
ajst-14944	158	3	arxiv:1804.02767	arxiv:1804.02767	PROPN
ajst-14944	158	4	,	,	PUNCT
ajst-14944	158	5	2018	2018	NUM
ajst-14944	158	6	.	.	PUNCT
ajst-14944	159	1	[	[	X
ajst-14944	159	2	8	8	NUM
ajst-14944	159	3	]	]	X
ajst-14944	159	4	bochkovskiy	bochkovskiy	X
ajst-14944	159	5	a	a	PRON
ajst-14944	159	6	,	,	PUNCT
ajst-14944	159	7	wang	wang	PROPN
ajst-14944	159	8	c	c	PROPN
ajst-14944	159	9	y	y	PROPN
ajst-14944	159	10	,	,	PUNCT
ajst-14944	159	11	liao	liao	PROPN
ajst-14944	159	12	h	h	PROPN
ajst-14944	159	13	y	y	PROPN
ajst-14944	159	14	m.	m.	PROPN
ajst-14944	159	15	yolov4	yolov4	PROPN
ajst-14944	159	16	:	:	PUNCT
ajst-14944	159	17	optimal	optimal	ADJ
ajst-14944	159	18	speed	speed	NOUN
ajst-14944	159	19	and	and	CCONJ
ajst-14944	159	20	accuracy	accuracy	NOUN
ajst-14944	159	21	of	of	ADP
ajst-14944	159	22	object	object	NOUN
ajst-14944	159	23	detection[j	detection[j	PROPN
ajst-14944	159	24	]	]	PUNCT
ajst-14944	159	25	.	.	PUNCT
ajst-14944	160	1	arxiv	arxiv	PROPN
ajst-14944	160	2	preprint	preprint	NOUN
ajst-14944	160	3	arxiv:2004.10934	arxiv:2004.10934	NOUN
ajst-14944	160	4	,	,	PUNCT
ajst-14944	160	5	2020	2020	NUM
ajst-14944	160	6	.	.	PUNCT
ajst-14944	161	1	[	[	X
ajst-14944	161	2	9	9	NUM
ajst-14944	161	3	]	]	X
ajst-14944	161	4	ge	ge	PROPN
ajst-14944	161	5	z	z	PROPN
ajst-14944	161	6	,	,	PUNCT
ajst-14944	161	7	liu	liu	PROPN
ajst-14944	161	8	s	s	PROPN
ajst-14944	161	9	,	,	PUNCT
ajst-14944	161	10	wang	wang	PROPN
ajst-14944	161	11	f	f	PROPN
ajst-14944	161	12	,	,	PUNCT
ajst-14944	161	13	et	et	PROPN
ajst-14944	161	14	al	al	PROPN
ajst-14944	161	15	.	.	PROPN
ajst-14944	161	16	yolox	yolox	PROPN
ajst-14944	161	17	:	:	PUNCT
ajst-14944	161	18	exceeding	exceed	VERB
ajst-14944	161	19	yolo	yolo	ADJ
ajst-14944	161	20	series	series	NOUN
ajst-14944	161	21	in	in	ADP
ajst-14944	161	22	2021[j	2021[j	NUM
ajst-14944	161	23	]	]	PUNCT
ajst-14944	161	24	.	.	PUNCT
ajst-14944	162	1	arxiv	arxiv	PROPN
ajst-14944	162	2	preprint	preprint	NOUN
ajst-14944	162	3	arxiv:2107.08430	arxiv:2107.08430	PROPN
ajst-14944	162	4	,	,	PUNCT
ajst-14944	162	5	2021	2021	NUM
ajst-14944	162	6	.	.	PUNCT
ajst-14944	163	1	[	[	X
ajst-14944	163	2	10	10	NUM
ajst-14944	163	3	]	]	X
ajst-14944	163	4	li	li	PROPN
ajst-14944	163	5	c	c	PROPN
ajst-14944	163	6	,	,	PUNCT
ajst-14944	163	7	li	li	PROPN
ajst-14944	163	8	l	l	PROPN
ajst-14944	163	9	,	,	PUNCT
ajst-14944	163	10	jiang	jiang	PROPN
ajst-14944	163	11	h	h	PROPN
ajst-14944	163	12	,	,	PUNCT
ajst-14944	163	13	et	et	PROPN
ajst-14944	163	14	al	al	PROPN
ajst-14944	163	15	.	.	PROPN
ajst-14944	163	16	yolov6	yolov6	PROPN
ajst-14944	163	17	:	:	PUNCT
ajst-14944	163	18	a	a	DET
ajst-14944	163	19	single	single	ADJ
ajst-14944	163	20	-	-	PUNCT
ajst-14944	163	21	stage	stage	NOUN
ajst-14944	163	22	object	object	NOUN
ajst-14944	163	23	detection	detection	NOUN
ajst-14944	163	24	framework	framework	NOUN
ajst-14944	163	25	for	for	ADP
ajst-14944	163	26	industrial	industrial	ADJ
ajst-14944	163	27	applications[j	applications[j	NOUN
ajst-14944	163	28	]	]	PUNCT
ajst-14944	163	29	.	.	PUNCT
ajst-14944	164	1	arxiv	arxiv	PROPN
ajst-14944	164	2	preprint	preprint	NOUN
ajst-14944	164	3	arxiv:2209.02976	arxiv:2209.02976	NOUN
ajst-14944	164	4	,	,	PUNCT
ajst-14944	164	5	2022	2022	NUM
ajst-14944	164	6	.	.	PUNCT
ajst-14944	165	1	[	[	X
ajst-14944	165	2	11	11	NUM
ajst-14944	165	3	]	]	PUNCT
ajst-14944	165	4	wang	wang	PROPN
ajst-14944	165	5	c	c	PROPN
ajst-14944	165	6	y	y	PROPN
ajst-14944	165	7	,	,	PUNCT
ajst-14944	165	8	bochkovskiy	bochkovskiy	VERB
ajst-14944	165	9	a	a	PRON
ajst-14944	165	10	,	,	PUNCT
ajst-14944	165	11	liao	liao	PROPN
ajst-14944	165	12	h	h	PROPN
ajst-14944	165	13	y	y	PROPN
ajst-14944	165	14	m.	m.	NOUN
ajst-14944	165	15	yolov7	yolov7	NOUN
ajst-14944	165	16	:	:	PUNCT
ajst-14944	165	17	trainable	trainable	ADJ
ajst-14944	165	18	bag	bag	NOUN
ajst-14944	165	19	-	-	PUNCT
ajst-14944	165	20	of	of	ADP
ajst-14944	165	21	-	-	PUNCT
ajst-14944	165	22	freebies	freebie	NOUN
ajst-14944	165	23	sets	set	VERB
ajst-14944	165	24	new	new	ADJ
ajst-14944	165	25	state	state	NOUN
ajst-14944	165	26	-	-	PUNCT
ajst-14944	165	27	of	of	ADP
ajst-14944	165	28	-	-	PUNCT
ajst-14944	165	29	the	the	DET
ajst-14944	165	30	-	-	PUNCT
ajst-14944	165	31	art	art	NOUN
ajst-14944	165	32	for	for	ADP
ajst-14944	165	33	real	real	ADJ
ajst-14944	165	34	-	-	PUNCT
ajst-14944	165	35	time	time	NOUN
ajst-14944	165	36	object	object	NOUN
ajst-14944	165	37	detectors[c]//proceedings	detectors[c]//proceeding	NOUN
ajst-14944	165	38	of	of	ADP
ajst-14944	165	39	the	the	DET
ajst-14944	165	40	ieee	ieee	NOUN
ajst-14944	165	41	/	/	SYM
ajst-14944	165	42	cvf	cvf	NOUN
ajst-14944	165	43	conference	conference	NOUN
ajst-14944	165	44	on	on	ADP
ajst-14944	165	45	computer	computer	NOUN
ajst-14944	165	46	vision	vision	NOUN
ajst-14944	165	47	and	and	CCONJ
ajst-14944	165	48	pattern	pattern	NOUN
ajst-14944	165	49	recognition	recognition	NOUN
ajst-14944	165	50	.	.	PUNCT
ajst-14944	166	1	2023	2023	NUM
ajst-14944	166	2	:	:	PUNCT
ajst-14944	166	3	7464	7464	NUM
ajst-14944	166	4	-	-	SYM
ajst-14944	166	5	7475	7475	NUM
ajst-14944	166	6	.	.	PUNCT
ajst-14944	167	1	[	[	X
ajst-14944	167	2	12	12	NUM
ajst-14944	167	3	]	]	X
ajst-14944	167	4	li	li	PROPN
ajst-14944	167	5	m	m	PROPN
ajst-14944	167	6	,	,	PUNCT
ajst-14944	167	7	wang	wang	PROPN
ajst-14944	167	8	h	h	PROPN
ajst-14944	167	9	,	,	PUNCT
ajst-14944	167	10	wan	wan	PROPN
ajst-14944	167	11	z.	z.	PROPN
ajst-14944	167	12	surface	surface	PROPN
ajst-14944	167	13	defect	defect	NOUN
ajst-14944	167	14	detection	detection	NOUN
ajst-14944	167	15	of	of	ADP
ajst-14944	167	16	steel	steel	NOUN
ajst-14944	167	17	strips	strip	NOUN
ajst-14944	167	18	based	base	VERB
ajst-14944	167	19	on	on	ADP
ajst-14944	167	20	improved	improved	ADJ
ajst-14944	167	21	yolov4[j	yolov4[j	NOUN
ajst-14944	167	22	]	]	PUNCT
ajst-14944	167	23	.	.	PUNCT
ajst-14944	168	1	computers	computer	NOUN
ajst-14944	168	2	and	and	CCONJ
ajst-14944	168	3	electrical	electrical	ADJ
ajst-14944	168	4	engineering	engineering	NOUN
ajst-14944	168	5	,	,	PUNCT
ajst-14944	168	6	2022	2022	NUM
ajst-14944	168	7	,	,	PUNCT
ajst-14944	168	8	102	102	NUM
ajst-14944	168	9	:	:	SYM
ajst-14944	168	10	108208	108208	NUM
ajst-14944	168	11	.	.	PUNCT
ajst-14944	169	1	[	[	X
ajst-14944	169	2	13	13	NUM
ajst-14944	169	3	]	]	X
ajst-14944	169	4	chen	chen	PROPN
ajst-14944	169	5	h	h	PROPN
ajst-14944	169	6	,	,	PUNCT
ajst-14944	169	7	du	du	PROPN
ajst-14944	169	8	y	y	PROPN
ajst-14944	169	9	,	,	PUNCT
ajst-14944	169	10	fu	fu	PROPN
ajst-14944	169	11	y	y	PROPN
ajst-14944	169	12	,	,	PUNCT
ajst-14944	169	13	et	et	PROPN
ajst-14944	169	14	al	al	PROPN
ajst-14944	169	15	.	.	PROPN
ajst-14944	169	16	dcam	dcam	PROPN
ajst-14944	169	17	-	-	PUNCT
ajst-14944	169	18	net	net	NOUN
ajst-14944	169	19	:	:	PUNCT
ajst-14944	169	20	a	a	DET
ajst-14944	169	21	rapid	rapid	ADJ
ajst-14944	169	22	detection	detection	NOUN
ajst-14944	169	23	network	network	NOUN
ajst-14944	169	24	for	for	ADP
ajst-14944	169	25	strip	strip	NOUN
ajst-14944	169	26	steel	steel	NOUN
ajst-14944	169	27	surface	surface	NOUN
ajst-14944	169	28	defects	defect	NOUN
ajst-14944	169	29	based	base	VERB
ajst-14944	169	30	on	on	ADP
ajst-14944	169	31	deformable	deformable	ADJ
ajst-14944	169	32	convolution	convolution	NOUN
ajst-14944	169	33	and	and	CCONJ
ajst-14944	169	34	attention	attention	NOUN
ajst-14944	169	35	mechanism[j	mechanism[j	PROPN
ajst-14944	169	36	]	]	PUNCT
ajst-14944	169	37	.	.	PUNCT
ajst-14944	170	1	ieee	ieee	NOUN
ajst-14944	170	2	transactions	transaction	NOUN
ajst-14944	170	3	on	on	ADP
ajst-14944	170	4	instrumentation	instrumentation	NOUN
ajst-14944	170	5	and	and	CCONJ
ajst-14944	170	6	measurement	measurement	NOUN
ajst-14944	170	7	,	,	PUNCT
ajst-14944	170	8	2023	2023	NUM
ajst-14944	170	9	,	,	PUNCT
ajst-14944	170	10	72	72	NUM
ajst-14944	170	11	:	:	SYM
ajst-14944	170	12	1	1	NUM
ajst-14944	170	13	-	-	SYM
ajst-14944	170	14	12	12	NUM
ajst-14944	170	15	.	.	PUNCT
ajst-14944	171	1	[	[	X
ajst-14944	171	2	14	14	NUM
ajst-14944	171	3	]	]	X
ajst-14944	171	4	zhang	zhang	PROPN
ajst-14944	171	5	y	y	PROPN
ajst-14944	171	6	,	,	PUNCT
ajst-14944	171	7	liu	liu	PROPN
ajst-14944	171	8	x	x	PROPN
ajst-14944	171	9	,	,	PUNCT
ajst-14944	171	10	guo	guo	PROPN
ajst-14944	171	11	j	j	PROPN
ajst-14944	171	12	,	,	PUNCT
ajst-14944	171	13	et	et	PROPN
ajst-14944	171	14	al	al	PROPN
ajst-14944	171	15	.	.	PROPN
ajst-14944	171	16	surface	surface	PROPN
ajst-14944	171	17	defect	defect	NOUN
ajst-14944	171	18	detection	detection	NOUN
ajst-14944	171	19	of	of	ADP
ajst-14944	171	20	stripsteel	stripsteel	NOUN
ajst-14944	171	21	based	base	VERB
ajst-14944	171	22	on	on	ADP
ajst-14944	171	23	an	an	DET
ajst-14944	171	24	improved	improved	ADJ
ajst-14944	171	25	pp	pp	ADJ
ajst-14944	171	26	-	-	PUNCT
ajst-14944	171	27	yoloe	yoloe	NOUN
ajst-14944	171	28	-	-	PUNCT
ajst-14944	171	29	m	m	NOUN
ajst-14944	171	30	detection	detection	NOUN
ajst-14944	171	31	network[j	network[j	NOUN
ajst-14944	171	32	]	]	PUNCT
ajst-14944	171	33	.	.	PUNCT
ajst-14944	172	1	electronics	electronic	NOUN
ajst-14944	172	2	,	,	PUNCT
ajst-14944	172	3	2022	2022	NUM
ajst-14944	172	4	,	,	PUNCT
ajst-14944	172	5	11(16	11(16	NUM
ajst-14944	172	6	):	):	PUNCT
ajst-14944	172	7	2603	2603	NUM
ajst-14944	172	8	.	.	PUNCT
ajst-14944	173	1	[	[	X
ajst-14944	173	2	15	15	NUM
ajst-14944	173	3	]	]	X
ajst-14944	173	4	zhao	zhao	PROPN
ajst-14944	173	5	c	c	PROPN
ajst-14944	173	6	,	,	PUNCT
ajst-14944	173	7	shu	shu	PROPN
ajst-14944	173	8	x	x	PROPN
ajst-14944	173	9	,	,	PUNCT
ajst-14944	173	10	yan	yan	PROPN
ajst-14944	173	11	x	x	X
ajst-14944	173	12	,	,	PUNCT
ajst-14944	173	13	et	et	PROPN
ajst-14944	173	14	al	al	PROPN
ajst-14944	173	15	.	.	PUNCT
ajst-14944	174	1	rdd	rdd	PROPN
ajst-14944	174	2	-	-	PUNCT
ajst-14944	174	3	yolo	yolo	PROPN
ajst-14944	174	4	:	:	PUNCT
ajst-14944	174	5	a	a	DET
ajst-14944	174	6	modified	modify	VERB
ajst-14944	174	7	yolo	yolo	NOUN
ajst-14944	174	8	for	for	ADP
ajst-14944	174	9	detection	detection	NOUN
ajst-14944	174	10	of	of	ADP
ajst-14944	174	11	steel	steel	NOUN
ajst-14944	174	12	surface	surface	NOUN
ajst-14944	174	13	defects[j	defects[j	PROPN
ajst-14944	174	14	]	]	PUNCT
ajst-14944	174	15	.	.	PUNCT
ajst-14944	175	1	measurement	measurement	PROPN
ajst-14944	175	2	,	,	PUNCT
ajst-14944	175	3	2023	2023	NUM
ajst-14944	175	4	,	,	PUNCT
ajst-14944	175	5	214	214	NUM
ajst-14944	175	6	:	:	SYM
ajst-14944	175	7	112776	112776	NUM
ajst-14944	175	8	.	.	PUNCT
ajst-14944	176	1	[	[	X
ajst-14944	176	2	16	16	NUM
ajst-14944	176	3	]	]	X
ajst-14944	176	4	wang	wang	PROPN
ajst-14944	176	5	y	y	PROPN
ajst-14944	176	6	,	,	PUNCT
ajst-14944	176	7	wang	wang	PROPN
ajst-14944	176	8	h	h	PROPN
ajst-14944	176	9	,	,	PUNCT
ajst-14944	176	10	*	*	PUNCT
ajst-14944	176	11	*	*	PUNCT
ajst-14944	176	12	n	n	PRON
ajst-14944	176	13	z.	z.	PROPN
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ajst-14944	176	15	detection	detection	NOUN
ajst-14944	176	16	model	model	NOUN
ajst-14944	176	17	of	of	ADP
ajst-14944	176	18	steel	steel	NOUN
ajst-14944	176	19	strip	strip	PROPN
ajst-14944	176	20	surface	surface	NOUN
ajst-14944	176	21	defects	defect	NOUN
ajst-14944	176	22	based	base	VERB
ajst-14944	176	23	on	on	ADP
ajst-14944	176	24	yolo	yolo	NOUN
ajst-14944	176	25	-	-	PUNCT
ajst-14944	176	26	v7[j	v7[j	NOUN
ajst-14944	176	27	]	]	PUNCT
ajst-14944	176	28	.	.	PUNCT
ajst-14944	177	1	ieee	ieee	NOUN
ajst-14944	177	2	access	access	NOUN
ajst-14944	177	3	,	,	PUNCT
ajst-14944	177	4	2022	2022	NUM
ajst-14944	177	5	,	,	PUNCT
ajst-14944	177	6	10	10	NUM
ajst-14944	177	7	:	:	SYM
ajst-14944	177	8	133936	133936	NUM
ajst-14944	177	9	-	-	SYM
ajst-14944	177	10	133944	133944	NUM
ajst-14944	177	11	.	.	PUNCT
ajst-14944	178	1	[	[	X
ajst-14944	178	2	17	17	NUM
ajst-14944	178	3	]	]	X
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ajst-14944	178	5	x	x	SYM
ajst-14944	178	6	,	,	PUNCT
ajst-14944	178	7	zhang	zhang	PROPN
ajst-14944	178	8	x	x	PROPN
ajst-14944	178	9	,	,	PUNCT
ajst-14944	178	10	han	han	PROPN
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ajst-14944	178	12	,	,	PUNCT
ajst-14944	178	13	et	et	PROPN
ajst-14944	178	14	al	al	PROPN
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ajst-14944	178	17	branch	branch	NOUN
ajst-14944	178	18	block	block	NOUN
ajst-14944	178	19	:	:	PUNCT
ajst-14944	178	20	building	build	VERB
ajst-14944	178	21	a	a	DET
ajst-14944	178	22	convolution	convolution	NOUN
ajst-14944	178	23	as	as	ADP
ajst-14944	178	24	an	an	DET
ajst-14944	178	25	inception	inception	NOUN
ajst-14944	178	26	-	-	PUNCT
ajst-14944	178	27	like	like	ADJ
ajst-14944	178	28	unit[c]//proceedings	unit[c]//proceedings	PROPN
ajst-14944	178	29	of	of	ADP
ajst-14944	178	30	the	the	DET
ajst-14944	178	31	ieee	ieee	NOUN
ajst-14944	178	32	/	/	SYM
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ajst-14944	178	36	computer	computer	NOUN
ajst-14944	178	37	vision	vision	NOUN
ajst-14944	178	38	and	and	CCONJ
ajst-14944	178	39	pattern	pattern	NOUN
ajst-14944	178	40	recognition	recognition	NOUN
ajst-14944	178	41	.	.	PUNCT
ajst-14944	179	1	2021	2021	NUM
ajst-14944	179	2	:	:	PUNCT
ajst-14944	179	3	10886	10886	NUM
ajst-14944	179	4	-	-	SYM
ajst-14944	179	5	10895	10895	NUM
ajst-14944	179	6	.	.	PUNCT
ajst-14944	180	1	[	[	X
ajst-14944	180	2	18	18	NUM
ajst-14944	180	3	]	]	X
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ajst-14944	180	5	m	m	PROPN
ajst-14944	180	6	h	h	NOUN
ajst-14944	180	7	,	,	PUNCT
ajst-14944	180	8	lu	lu	PROPN
ajst-14944	180	9	c	c	PROPN
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ajst-14944	180	11	,	,	PUNCT
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ajst-14944	180	13	q	q	PROPN
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ajst-14944	180	15	et	et	PROPN
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ajst-14944	180	17	.	.	PROPN
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ajst-14944	180	19	:	:	PUNCT
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ajst-14944	180	21	convolutional	convolutional	ADJ
ajst-14944	180	22	attention	attention	NOUN
ajst-14944	180	23	design	design	NOUN
ajst-14944	180	24	for	for	ADP
ajst-14944	180	25	semantic	semantic	ADJ
ajst-14944	180	26	segmentation[j	segmentation[j	PROPN
ajst-14944	180	27	]	]	PUNCT
ajst-14944	180	28	.	.	PUNCT
ajst-14944	181	1	advances	advance	NOUN
ajst-14944	181	2	in	in	ADP
ajst-14944	181	3	neural	neural	ADJ
ajst-14944	181	4	information	information	NOUN
ajst-14944	181	5	processing	processing	NOUN
ajst-14944	181	6	systems	system	NOUN
ajst-14944	181	7	,	,	PUNCT
ajst-14944	181	8	2022	2022	NUM
ajst-14944	181	9	,	,	PUNCT
ajst-14944	181	10	35	35	NUM
ajst-14944	181	11	:	:	SYM
ajst-14944	181	12	1140	1140	NUM
ajst-14944	181	13	-	-	SYM
ajst-14944	181	14	1156	1156	NUM
ajst-14944	181	15	.	.	PUNCT
ajst-14944	182	1	[	[	X
ajst-14944	182	2	19	19	NUM
ajst-14944	182	3	]	]	X
ajst-14944	182	4	ding	ding	NOUN
ajst-14944	182	5	x	x	SYM
ajst-14944	182	6	,	,	PUNCT
ajst-14944	182	7	zhang	zhang	PROPN
ajst-14944	182	8	x	x	PROPN
ajst-14944	182	9	,	,	PUNCT
ajst-14944	182	10	ma	ma	PROPN
ajst-14944	182	11	n	n	PROPN
ajst-14944	182	12	,	,	PUNCT
ajst-14944	182	13	et	et	PROPN
ajst-14944	182	14	al	al	PROPN
ajst-14944	182	15	.	.	PROPN
ajst-14944	182	16	repvgg	repvgg	PROPN
ajst-14944	182	17	:	:	PUNCT
ajst-14944	182	18	making	make	VERB
ajst-14944	182	19	vgg	vgg	ADJ
ajst-14944	182	20	-	-	PUNCT
ajst-14944	182	21	style	style	NOUN
ajst-14944	182	22	convnets	convnet	VERB
ajst-14944	182	23	great	great	ADJ
ajst-14944	182	24	again[c]//proceedings	again[c]//proceeding	NOUN
ajst-14944	182	25	of	of	ADP
ajst-14944	182	26	the	the	DET
ajst-14944	182	27	ieee	ieee	NOUN
ajst-14944	182	28	/	/	SYM
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ajst-14944	182	30	conference	conference	NOUN
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ajst-14944	182	32	computer	computer	NOUN
ajst-14944	182	33	vision	vision	NOUN
ajst-14944	182	34	and	and	CCONJ
ajst-14944	182	35	pattern	pattern	NOUN
ajst-14944	182	36	recognition	recognition	NOUN
ajst-14944	182	37	.	.	PUNCT
ajst-14944	183	1	2021	2021	NUM
ajst-14944	183	2	:	:	PUNCT
ajst-14944	183	3	13733	13733	NUM
ajst-14944	183	4	-	-	SYM
ajst-14944	183	5	13742	13742	NUM
ajst-14944	183	6	.	.	PUNCT
ajst-14944	184	1	[	[	X
ajst-14944	184	2	20	20	NUM
ajst-14944	184	3	]	]	X
ajst-14944	184	4	marnerides	marnerides	PROPN
ajst-14944	184	5	d	d	PROPN
ajst-14944	184	6	,	,	PUNCT
ajst-14944	184	7	bashford‐rogers	bashford‐rogers	PROPN
ajst-14944	184	8	t	t	PROPN
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ajst-14944	184	10	hatchett	hatchett	PROPN
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ajst-14944	184	13	et	et	PROPN
ajst-14944	184	14	al	al	PROPN
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ajst-14944	184	16	expandnet	expandnet	PROPN
ajst-14944	184	17	:	:	PUNCT
ajst-14944	184	18	a	a	DET
ajst-14944	184	19	deep	deep	ADJ
ajst-14944	184	20	convolutional	convolutional	ADJ
ajst-14944	184	21	neural	neural	ADJ
ajst-14944	184	22	network	network	NOUN
ajst-14944	184	23	for	for	ADP
ajst-14944	184	24	high	high	ADJ
ajst-14944	184	25	dynamic	dynamic	ADJ
ajst-14944	184	26	range	range	NOUN
ajst-14944	184	27	expansion	expansion	NOUN
ajst-14944	184	28	from	from	ADP
ajst-14944	184	29	low	low	ADJ
ajst-14944	184	30	dynamic	dynamic	ADJ
ajst-14944	184	31	range	range	NOUN
ajst-14944	184	32	content[c]//computer	content[c]//computer	PROPN
ajst-14944	184	33	graphics	graphic	NOUN
ajst-14944	184	34	forum	forum	PROPN
ajst-14944	184	35	.	.	PROPN
ajst-14944	184	36	2018	2018	NUM
ajst-14944	184	37	,	,	PUNCT
ajst-14944	184	38	37(2	37(2	PRON
ajst-14944	184	39	):	):	PUNCT
ajst-14944	184	40	37	37	NUM
ajst-14944	184	41	-	-	SYM
ajst-14944	184	42	49	49	NUM
ajst-14944	184	43	.	.	PUNCT
ajst-14944	185	1	[	[	X
ajst-14944	185	2	21	21	NUM
ajst-14944	185	3	]	]	X
ajst-14944	185	4	cao	cao	PROPN
ajst-14944	185	5	j	j	PROPN
ajst-14944	185	6	,	,	PUNCT
ajst-14944	185	7	li	li	PROPN
ajst-14944	185	8	y	y	PROPN
ajst-14944	185	9	,	,	PUNCT
ajst-14944	185	10	sun	sun	PROPN
ajst-14944	185	11	m	m	PROPN
ajst-14944	185	12	,	,	PUNCT
ajst-14944	185	13	et	et	PROPN
ajst-14944	185	14	al	al	PROPN
ajst-14944	185	15	.	.	PROPN
ajst-14944	185	16	do	do	AUX
ajst-14944	185	17	-	-	PUNCT
ajst-14944	185	18	conv	conv	ADJ
ajst-14944	185	19	:	:	PUNCT
ajst-14944	185	20	depthwise	depthwise	NOUN
ajst-14944	185	21	overparameterized	overparameterize	VERB
ajst-14944	185	22	convolutional	convolutional	ADJ
ajst-14944	185	23	layer[j	layer[j	NOUN
ajst-14944	185	24	]	]	PUNCT
ajst-14944	185	25	.	.	PUNCT
ajst-14944	186	1	ieee	ieee	NOUN
ajst-14944	186	2	transactions	transaction	NOUN
ajst-14944	186	3	on	on	ADP
ajst-14944	186	4	image	image	NOUN
ajst-14944	186	5	processing	processing	NOUN
ajst-14944	186	6	,	,	PUNCT
ajst-14944	186	7	2022	2022	NUM
ajst-14944	186	8	,	,	PUNCT
ajst-14944	186	9	31	31	NUM
ajst-14944	186	10	:	:	SYM
ajst-14944	186	11	3726	3726	NUM
ajst-14944	186	12	-	-	SYM
ajst-14944	186	13	3736	3736	NUM
ajst-14944	186	14	.	.	PUNCT
ajst-14944	187	1	[	[	X
ajst-14944	187	2	22	22	NUM
ajst-14944	187	3	]	]	X
ajst-14944	187	4	tian	tian	PROPN
ajst-14944	187	5	c	c	PROPN
ajst-14944	187	6	,	,	PUNCT
ajst-14944	187	7	xu	xu	PROPN
ajst-14944	187	8	y	y	PROPN
ajst-14944	187	9	,	,	PUNCT
ajst-14944	187	10	zuo	zuo	PROPN
ajst-14944	187	11	w	w	PROPN
ajst-14944	187	12	,	,	PUNCT
ajst-14944	187	13	et	et	PROPN
ajst-14944	187	14	al	al	PROPN
ajst-14944	187	15	.	.	PROPN
ajst-14944	187	16	asymmetric	asymmetric	PROPN
ajst-14944	187	17	cnn	cnn	PROPN
ajst-14944	187	18	for	for	ADP
ajst-14944	187	19	image	image	NOUN
ajst-14944	187	20	superresolution[j	superresolution[j	NOUN
ajst-14944	187	21	]	]	PUNCT
ajst-14944	187	22	.	.	PUNCT
ajst-14944	188	1	ieee	ieee	NOUN
ajst-14944	188	2	transactions	transaction	NOUN
ajst-14944	188	3	on	on	ADP
ajst-14944	188	4	systems	system	NOUN
ajst-14944	188	5	,	,	PUNCT
ajst-14944	188	6	man	man	NOUN
ajst-14944	188	7	,	,	PUNCT
ajst-14944	188	8	and	and	CCONJ
ajst-14944	188	9	cybernetics	cybernetic	NOUN
ajst-14944	188	10	:	:	PUNCT
ajst-14944	188	11	systems	system	NOUN
ajst-14944	188	12	,	,	PUNCT
ajst-14944	188	13	2021	2021	NUM
ajst-14944	188	14	,	,	PUNCT
ajst-14944	188	15	52(6	52(6	NUM
ajst-14944	188	16	):	):	PUNCT
ajst-14944	188	17	3718	3718	NUM
ajst-14944	188	18	-	-	SYM
ajst-14944	188	19	3730	3730	NUM
ajst-14944	188	20	.	.	PUNCT
ajst-14944	189	1	[	[	X
ajst-14944	189	2	23	23	NUM
ajst-14944	189	3	]	]	PUNCT
ajst-14944	189	4	*	*	PUNCT
ajst-14944	189	5	*	*	PUNCT
ajst-14944	189	6	e	e	X
ajst-14944	189	7	s	s	PROPN
ajst-14944	189	8	,	,	PUNCT
ajst-14944	189	9	girshick	girshick	ADJ
ajst-14944	189	10	r	r	NOUN
ajst-14944	189	11	,	,	PUNCT
ajst-14944	189	12	dollár	dollár	NOUN
ajst-14944	189	13	p	p	NOUN
ajst-14944	189	14	,	,	PUNCT
ajst-14944	189	15	et	et	PROPN
ajst-14944	189	16	al	al	PROPN
ajst-14944	189	17	.	.	PROPN
ajst-14944	189	18	aggregated	aggregate	VERB
ajst-14944	189	19	residual	residual	ADJ
ajst-14944	189	20	transformations	transformation	NOUN
ajst-14944	189	21	for	for	ADP
ajst-14944	189	22	deep	deep	ADJ
ajst-14944	189	23	neural	neural	ADJ
ajst-14944	189	24	networks[c]//proceedings	networks[c]//proceeding	NOUN
ajst-14944	189	25	of	of	ADP
ajst-14944	189	26	the	the	DET
ajst-14944	189	27	ieee	ieee	NOUN
ajst-14944	189	28	conference	conference	NOUN
ajst-14944	189	29	on	on	ADP
ajst-14944	189	30	computer	computer	NOUN
ajst-14944	189	31	vision	vision	NOUN
ajst-14944	189	32	and	and	CCONJ
ajst-14944	189	33	pattern	pattern	NOUN
ajst-14944	189	34	recognition	recognition	NOUN
ajst-14944	189	35	.	.	PUNCT
ajst-14944	190	1	2017	2017	NUM
ajst-14944	190	2	:	:	PUNCT
ajst-14944	190	3	1492	1492	NUM
ajst-14944	190	4	-	-	SYM
ajst-14944	190	5	1500	1500	NUM
ajst-14944	190	6	.	.	PUNCT