id	sid	tid	token	lemma	pos
ajst-13420	1	1	academic	academic	ADJ
ajst-13420	1	2	journal	journal	NOUN
ajst-13420	1	3	of	of	ADP
ajst-13420	1	4	science	science	NOUN
ajst-13420	1	5	and	and	CCONJ
ajst-13420	1	6	technology	technology	NOUN
ajst-13420	1	7	issn	issn	NOUN
ajst-13420	1	8	:	:	PUNCT
ajst-13420	1	9	2771	2771	NUM
ajst-13420	1	10	-	-	SYM
ajst-13420	1	11	3032	3032	NUM
ajst-13420	1	12	|	|	NOUN
ajst-13420	1	13	vol	vol	NOUN
ajst-13420	1	14	.	.	PROPN
ajst-13420	2	1	7	7	NUM
ajst-13420	2	2	,	,	PUNCT
ajst-13420	2	3	no	no	INTJ
ajst-13420	2	4	.	.	NOUN
ajst-13420	2	5	3	3	NUM
ajst-13420	2	6	,	,	PUNCT
ajst-13420	2	7	2023	2023	NUM
ajst-13420	2	8	297	297	NUM
ajst-13420	2	9	pcb	pcb	NOUN
ajst-13420	2	10	defect	defect	NOUN
ajst-13420	2	11	detection	detection	NOUN
ajst-13420	2	12	algorithm	algorithm	NOUN
ajst-13420	2	13	based	base	VERB
ajst-13420	2	14	on	on	ADP
ajst-13420	2	15	improved	improved	ADJ
ajst-13420	2	16	yolov8	yolov8	PROPN
ajst-13420	2	17	yan	yan	PROPN
ajst-13420	2	18	long1	long1	PROPN
ajst-13420	2	19	,	,	PUNCT
ajst-13420	2	20	*	*	PUNCT
ajst-13420	2	21	,	,	PUNCT
ajst-13420	2	22	zhiang	zhiang	PROPN
ajst-13420	2	23	li1	li1	NOUN
ajst-13420	2	24	,	,	PUNCT
ajst-13420	2	25	yinan	yinan	PROPN
ajst-13420	2	26	cai1	cai1	PROPN
ajst-13420	2	27	,	,	PUNCT
ajst-13420	2	28	rongwei	rongwei	NOUN
ajst-13420	2	29	zhang1	zhang1	PROPN
ajst-13420	2	30	,	,	PUNCT
ajst-13420	2	31	ke	ke	NOUN
ajst-13420	2	32	shen1	shen1	NOUN
ajst-13420	2	33	1	1	NUM
ajst-13420	2	34	school	school	NOUN
ajst-13420	2	35	of	of	ADP
ajst-13420	2	36	computer	computer	NOUN
ajst-13420	2	37	science	science	NOUN
ajst-13420	2	38	,	,	PUNCT
ajst-13420	2	39	yangtze	yangtze	PROPN
ajst-13420	2	40	university	university	PROPN
ajst-13420	2	41	,	,	PUNCT
ajst-13420	2	42	jingzhou	jingzhou	ADV
ajst-13420	2	43	,	,	PUNCT
ajst-13420	2	44	434023	434023	NUM
ajst-13420	2	45	,	,	PUNCT
ajst-13420	2	46	china	china	PROPN
ajst-13420	2	47	*	*	PUNCT
ajst-13420	2	48	corresponding	correspond	VERB
ajst-13420	2	49	author	author	NOUN
ajst-13420	2	50	:	:	PUNCT
ajst-13420	3	1	yan	yan	PROPN
ajst-13420	3	2	long	long	ADJ
ajst-13420	3	3	(	(	PUNCT
ajst-13420	3	4	email	email	NOUN
ajst-13420	3	5	:	:	PUNCT
ajst-13420	3	6	2022710657@yangtzeu.edu.cn	2022710657@yangtzeu.edu.cn	NUM
ajst-13420	3	7	)	)	PUNCT
ajst-13420	3	8	abstract	abstract	NOUN
ajst-13420	3	9	:	:	PUNCT
ajst-13420	3	10	in	in	ADP
ajst-13420	3	11	order	order	NOUN
ajst-13420	3	12	to	to	PART
ajst-13420	3	13	solve	solve	VERB
ajst-13420	3	14	the	the	DET
ajst-13420	3	15	performance	performance	NOUN
ajst-13420	3	16	and	and	CCONJ
ajst-13420	3	17	efficiency	efficiency	NOUN
ajst-13420	3	18	problems	problem	NOUN
ajst-13420	3	19	in	in	ADP
ajst-13420	3	20	pcb	pcb	NOUN
ajst-13420	3	21	defect	defect	NOUN
ajst-13420	3	22	detection	detection	NOUN
ajst-13420	3	23	tasks	task	NOUN
ajst-13420	3	24	,	,	PUNCT
ajst-13420	3	25	a	a	DET
ajst-13420	3	26	pcb	pcb	NOUN
ajst-13420	3	27	defect	defect	NOUN
ajst-13420	3	28	detection	detection	NOUN
ajst-13420	3	29	algorithm	algorithm	NOUN
ajst-13420	3	30	based	base	VERB
ajst-13420	3	31	on	on	ADP
ajst-13420	3	32	improved	improved	ADJ
ajst-13420	3	33	yolov8	yolov8	NOUN
ajst-13420	3	34	is	be	AUX
ajst-13420	3	35	proposed	propose	VERB
ajst-13420	3	36	,	,	PUNCT
ajst-13420	3	37	which	which	PRON
ajst-13420	3	38	aims	aim	VERB
ajst-13420	3	39	to	to	PART
ajst-13420	3	40	improve	improve	VERB
ajst-13420	3	41	detection	detection	NOUN
ajst-13420	3	42	accuracy	accuracy	NOUN
ajst-13420	3	43	,	,	PUNCT
ajst-13420	3	44	reduce	reduce	VERB
ajst-13420	3	45	model	model	NOUN
ajst-13420	3	46	complexity	complexity	NOUN
ajst-13420	3	47	,	,	PUNCT
ajst-13420	3	48	adapt	adapt	VERB
ajst-13420	3	49	to	to	ADP
ajst-13420	3	50	small	small	ADJ
ajst-13420	3	51	target	target	NOUN
ajst-13420	3	52	detection	detection	NOUN
ajst-13420	3	53	,	,	PUNCT
ajst-13420	3	54	and	and	CCONJ
ajst-13420	3	55	operate	operate	VERB
ajst-13420	3	56	in	in	ADP
ajst-13420	3	57	resource	resource	NOUN
ajst-13420	3	58	-	-	PUNCT
ajst-13420	3	59	constrained	constrain	VERB
ajst-13420	3	60	environments	environment	NOUN
ajst-13420	3	61	.	.	PUNCT
ajst-13420	4	1	achieve	achieve	VERB
ajst-13420	4	2	efficient	efficient	ADJ
ajst-13420	4	3	detection	detection	NOUN
ajst-13420	4	4	.	.	PUNCT
ajst-13420	5	1	first	first	ADV
ajst-13420	5	2	,	,	PUNCT
ajst-13420	5	3	an	an	DET
ajst-13420	5	4	improved	improved	ADJ
ajst-13420	5	5	neck	neck	NOUN
ajst-13420	5	6	network	network	NOUN
ajst-13420	5	7	structure	structure	NOUN
ajst-13420	5	8	is	be	AUX
ajst-13420	5	9	introduced	introduce	VERB
ajst-13420	5	10	,	,	PUNCT
ajst-13420	5	11	which	which	PRON
ajst-13420	5	12	reduces	reduce	VERB
ajst-13420	5	13	the	the	DET
ajst-13420	5	14	number	number	NOUN
ajst-13420	5	15	of	of	ADP
ajst-13420	5	16	parameters	parameter	NOUN
ajst-13420	5	17	and	and	CCONJ
ajst-13420	5	18	computational	computational	ADJ
ajst-13420	5	19	complexity	complexity	NOUN
ajst-13420	5	20	of	of	ADP
ajst-13420	5	21	the	the	DET
ajst-13420	5	22	model	model	NOUN
ajst-13420	5	23	and	and	CCONJ
ajst-13420	5	24	improves	improve	VERB
ajst-13420	5	25	resource	resource	NOUN
ajst-13420	5	26	utilization	utilization	NOUN
ajst-13420	5	27	.	.	PUNCT
ajst-13420	6	1	subsequently	subsequently	ADV
ajst-13420	6	2	,	,	PUNCT
ajst-13420	6	3	the	the	DET
ajst-13420	6	4	shuffleattention	shuffleattention	NOUN
ajst-13420	6	5	and	and	CCONJ
ajst-13420	6	6	bifpn	bifpn	PROPN
ajst-13420	6	7	structure	structure	NOUN
ajst-13420	6	8	were	be	AUX
ajst-13420	6	9	added	add	VERB
ajst-13420	6	10	to	to	PART
ajst-13420	6	11	enhance	enhance	VERB
ajst-13420	6	12	the	the	DET
ajst-13420	6	13	model	model	NOUN
ajst-13420	6	14	's	's	PART
ajst-13420	6	15	multiscale	multiscale	ADJ
ajst-13420	6	16	feature	feature	NOUN
ajst-13420	6	17	fusion	fusion	NOUN
ajst-13420	6	18	capabilities	capability	NOUN
ajst-13420	6	19	and	and	CCONJ
ajst-13420	6	20	better	well	ADV
ajst-13420	6	21	adapt	adapt	VERB
ajst-13420	6	22	to	to	ADP
ajst-13420	6	23	small	small	ADJ
ajst-13420	6	24	target	target	NOUN
ajst-13420	6	25	detection	detection	NOUN
ajst-13420	6	26	.	.	PUNCT
ajst-13420	7	1	finally	finally	ADV
ajst-13420	7	2	,	,	PUNCT
ajst-13420	7	3	the	the	DET
ajst-13420	7	4	wiou	wiou	NOUN
ajst-13420	7	5	loss	loss	NOUN
ajst-13420	7	6	function	function	NOUN
ajst-13420	7	7	is	be	AUX
ajst-13420	7	8	used	use	VERB
ajst-13420	7	9	to	to	PART
ajst-13420	7	10	replace	replace	VERB
ajst-13420	7	11	the	the	DET
ajst-13420	7	12	traditional	traditional	ADJ
ajst-13420	7	13	ciou	ciou	NOUN
ajst-13420	7	14	loss	loss	NOUN
ajst-13420	7	15	function	function	NOUN
ajst-13420	7	16	,	,	PUNCT
ajst-13420	7	17	thereby	thereby	ADV
ajst-13420	7	18	improving	improve	VERB
ajst-13420	7	19	the	the	DET
ajst-13420	7	20	detection	detection	NOUN
ajst-13420	7	21	accuracy	accuracy	NOUN
ajst-13420	7	22	and	and	CCONJ
ajst-13420	7	23	robustness	robustness	NOUN
ajst-13420	7	24	of	of	ADP
ajst-13420	7	25	the	the	DET
ajst-13420	7	26	model	model	NOUN
ajst-13420	7	27	.	.	PUNCT
ajst-13420	8	1	experimental	experimental	ADJ
ajst-13420	8	2	results	result	NOUN
ajst-13420	8	3	show	show	VERB
ajst-13420	8	4	that	that	SCONJ
ajst-13420	8	5	the	the	DET
ajst-13420	8	6	improved	improved	ADJ
ajst-13420	8	7	algorithm	algorithm	NOUN
ajst-13420	8	8	achieved	achieve	VERB
ajst-13420	8	9	94.2	94.2	NUM
ajst-13420	8	10	%	%	NOUN
ajst-13420	8	11	and	and	CCONJ
ajst-13420	8	12	49.0	49.0	NUM
ajst-13420	8	13	%	%	NOUN
ajst-13420	8	14	in	in	ADP
ajst-13420	8	15	map50	map50	PROPN
ajst-13420	8	16	and	and	CCONJ
ajst-13420	8	17	map90	map90	NOUN
ajst-13420	8	18	-	-	PUNCT
ajst-13420	8	19	95	95	NUM
ajst-13420	8	20	respectively	respectively	ADV
ajst-13420	8	21	.	.	PUNCT
ajst-13420	9	1	the	the	DET
ajst-13420	9	2	number	number	NOUN
ajst-13420	9	3	of	of	ADP
ajst-13420	9	4	parameters	parameter	NOUN
ajst-13420	9	5	,	,	PUNCT
ajst-13420	9	6	gflops	gflop	NOUN
ajst-13420	9	7	and	and	CCONJ
ajst-13420	9	8	weight	weight	NOUN
ajst-13420	9	9	size	size	NOUN
ajst-13420	9	10	of	of	ADP
ajst-13420	9	11	the	the	DET
ajst-13420	9	12	model	model	NOUN
ajst-13420	9	13	were	be	AUX
ajst-13420	9	14	reduced	reduce	VERB
ajst-13420	9	15	by	by	ADP
ajst-13420	9	16	33	33	NUM
ajst-13420	9	17	%	%	NOUN
ajst-13420	9	18	,	,	PUNCT
ajst-13420	9	19	12	12	NUM
ajst-13420	9	20	%	%	NOUN
ajst-13420	9	21	and	and	CCONJ
ajst-13420	9	22	32	32	NUM
ajst-13420	9	23	%	%	NOUN
ajst-13420	9	24	respectively	respectively	ADV
ajst-13420	9	25	,	,	PUNCT
ajst-13420	9	26	reaching	reach	VERB
ajst-13420	9	27	1.992	1.992	NUM
ajst-13420	9	28	m	m	NOUN
ajst-13420	9	29	,	,	PUNCT
ajst-13420	9	30	7.1	7.1	NUM
ajst-13420	9	31	and	and	CCONJ
ajst-13420	9	32	4.2	4.2	NUM
ajst-13420	9	33	m.	m.	NOUN
ajst-13420	9	34	provides	provide	VERB
ajst-13420	9	35	an	an	DET
ajst-13420	9	36	efficient	efficient	ADJ
ajst-13420	9	37	,	,	PUNCT
ajst-13420	9	38	accurate	accurate	ADJ
ajst-13420	9	39	and	and	CCONJ
ajst-13420	9	40	lightweight	lightweight	ADJ
ajst-13420	9	41	pcb	pcb	NOUN
ajst-13420	9	42	defect	defect	NOUN
ajst-13420	9	43	detection	detection	NOUN
ajst-13420	9	44	solution	solution	NOUN
ajst-13420	9	45	,	,	PUNCT
ajst-13420	9	46	making	make	VERB
ajst-13420	9	47	it	it	PRON
ajst-13420	9	48	ideal	ideal	ADJ
ajst-13420	9	49	for	for	ADP
ajst-13420	9	50	resource	resource	NOUN
ajst-13420	9	51	-	-	PUNCT
ajst-13420	9	52	constrained	constrain	VERB
ajst-13420	9	53	environments	environment	NOUN
ajst-13420	9	54	such	such	ADJ
ajst-13420	9	55	as	as	ADP
ajst-13420	9	56	mobile	mobile	ADJ
ajst-13420	9	57	devices	device	NOUN
ajst-13420	9	58	and	and	CCONJ
ajst-13420	9	59	embedded	embed	VERB
ajst-13420	9	60	systems	system	NOUN
ajst-13420	9	61	.	.	PUNCT
ajst-13420	10	1	keywords	keyword	NOUN
ajst-13420	10	2	:	:	PUNCT
ajst-13420	10	3	bifpn	bifpn	PROPN
ajst-13420	10	4	,	,	PUNCT
ajst-13420	10	5	pcb	pcb	VERB
ajst-13420	10	6	defect	defect	NOUN
ajst-13420	10	7	detection	detection	NOUN
ajst-13420	10	8	,	,	PUNCT
ajst-13420	10	9	shuffleattention	shuffleattention	NOUN
ajst-13420	10	10	,	,	PUNCT
ajst-13420	10	11	wiou	wiou	NOUN
ajst-13420	10	12	,	,	PUNCT
ajst-13420	10	13	yolov8	yolov8	PROPN
ajst-13420	10	14	.	.	PUNCT
ajst-13420	11	1	1	1	X
ajst-13420	11	2	.	.	X
ajst-13420	11	3	introduction	introduction	NOUN
ajst-13420	11	4	in	in	ADP
ajst-13420	11	5	modern	modern	ADJ
ajst-13420	11	6	electronics	electronic	NOUN
ajst-13420	11	7	manufacturing	manufacturing	NOUN
ajst-13420	11	8	,	,	PUNCT
ajst-13420	11	9	printed	print	VERB
ajst-13420	11	10	circuit	circuit	NOUN
ajst-13420	11	11	boards	board	NOUN
ajst-13420	11	12	(	(	PUNCT
ajst-13420	11	13	pcbs	pcbs	PROPN
ajst-13420	11	14	)	)	PUNCT
ajst-13420	11	15	play	play	VERB
ajst-13420	11	16	a	a	DET
ajst-13420	11	17	vital	vital	ADJ
ajst-13420	11	18	role	role	NOUN
ajst-13420	11	19	as	as	ADP
ajst-13420	11	20	one	one	NUM
ajst-13420	11	21	of	of	ADP
ajst-13420	11	22	the	the	DET
ajst-13420	11	23	core	core	ADJ
ajst-13420	11	24	components	component	NOUN
ajst-13420	11	25	of	of	ADP
ajst-13420	11	26	electronic	electronic	ADJ
ajst-13420	11	27	equipment	equipment	NOUN
ajst-13420	11	28	.	.	PUNCT
ajst-13420	12	1	however	however	ADV
ajst-13420	12	2	,	,	PUNCT
ajst-13420	12	3	due	due	ADP
ajst-13420	12	4	to	to	ADP
ajst-13420	12	5	its	its	PRON
ajst-13420	12	6	highly	highly	ADV
ajst-13420	12	7	complex	complex	ADJ
ajst-13420	12	8	manufacturing	manufacturing	NOUN
ajst-13420	12	9	process	process	NOUN
ajst-13420	12	10	and	and	CCONJ
ajst-13420	12	11	the	the	DET
ajst-13420	12	12	impact	impact	NOUN
ajst-13420	12	13	of	of	ADP
ajst-13420	12	14	the	the	DET
ajst-13420	12	15	external	external	ADJ
ajst-13420	12	16	environment	environment	NOUN
ajst-13420	12	17	and	and	CCONJ
ajst-13420	12	18	operating	operating	NOUN
ajst-13420	12	19	errors	error	NOUN
ajst-13420	12	20	,	,	PUNCT
ajst-13420	12	21	pcbs	pcbs	PROPN
ajst-13420	12	22	often	often	ADV
ajst-13420	12	23	suffer	suffer	VERB
ajst-13420	12	24	from	from	ADP
ajst-13420	12	25	defects	defect	NOUN
ajst-13420	12	26	,	,	PUNCT
ajst-13420	12	27	such	such	ADJ
ajst-13420	12	28	as	as	ADP
ajst-13420	12	29	short	short	ADJ
ajst-13420	12	30	circuits	circuit	NOUN
ajst-13420	12	31	,	,	PUNCT
ajst-13420	12	32	missing	miss	VERB
ajst-13420	12	33	holes	hole	NOUN
ajst-13420	12	34	,	,	PUNCT
ajst-13420	12	35	burr	burr	NOUN
ajst-13420	12	36	problems	problem	NOUN
ajst-13420	12	37	,	,	PUNCT
ajst-13420	12	38	etc	etc	X
ajst-13420	12	39	.	.	X
ajst-13420	13	1	these	these	DET
ajst-13420	13	2	defects	defect	NOUN
ajst-13420	13	3	can	can	AUX
ajst-13420	13	4	cause	cause	VERB
ajst-13420	13	5	performance	performance	NOUN
ajst-13420	13	6	degradation	degradation	NOUN
ajst-13420	13	7	or	or	CCONJ
ajst-13420	13	8	even	even	ADV
ajst-13420	13	9	complete	complete	ADJ
ajst-13420	13	10	failure	failure	NOUN
ajst-13420	13	11	of	of	ADP
ajst-13420	13	12	electronic	electronic	ADJ
ajst-13420	13	13	devices	device	NOUN
ajst-13420	13	14	,	,	PUNCT
ajst-13420	13	15	so	so	ADV
ajst-13420	13	16	efficient	efficient	ADJ
ajst-13420	13	17	and	and	CCONJ
ajst-13420	13	18	accurate	accurate	ADJ
ajst-13420	13	19	defect	defect	NOUN
ajst-13420	13	20	detection	detection	NOUN
ajst-13420	13	21	of	of	ADP
ajst-13420	13	22	pcbs	pcbs	PROPN
ajst-13420	13	23	is	be	AUX
ajst-13420	13	24	crucial	crucial	ADJ
ajst-13420	13	25	.	.	PUNCT
ajst-13420	14	1	in	in	ADP
ajst-13420	14	2	recent	recent	ADJ
ajst-13420	14	3	years	year	NOUN
ajst-13420	14	4	,	,	PUNCT
ajst-13420	14	5	deep	deep	ADJ
ajst-13420	14	6	learning	learning	NOUN
ajst-13420	14	7	technology	technology	NOUN
ajst-13420	14	8	has	have	AUX
ajst-13420	14	9	made	make	VERB
ajst-13420	14	10	great	great	ADJ
ajst-13420	14	11	breakthroughs	breakthrough	NOUN
ajst-13420	14	12	in	in	ADP
ajst-13420	14	13	image	image	NOUN
ajst-13420	14	14	processing	processing	NOUN
ajst-13420	14	15	and	and	CCONJ
ajst-13420	14	16	computer	computer	NOUN
ajst-13420	14	17	vision	vision	NOUN
ajst-13420	14	18	,	,	PUNCT
ajst-13420	14	19	providing	provide	VERB
ajst-13420	14	20	a	a	DET
ajst-13420	14	21	new	new	ADJ
ajst-13420	14	22	solution	solution	NOUN
ajst-13420	14	23	for	for	ADP
ajst-13420	14	24	pcb	pcb	NOUN
ajst-13420	14	25	defect	defect	NOUN
ajst-13420	14	26	detection	detection	NOUN
ajst-13420	14	27	.	.	PUNCT
ajst-13420	15	1	there	there	PRON
ajst-13420	15	2	are	be	VERB
ajst-13420	15	3	currently	currently	ADV
ajst-13420	15	4	two	two	NUM
ajst-13420	15	5	main	main	ADJ
ajst-13420	15	6	target	target	NOUN
ajst-13420	15	7	detection	detection	NOUN
ajst-13420	15	8	algorithms	algorithm	NOUN
ajst-13420	15	9	.	.	PUNCT
ajst-13420	16	1	one	one	NUM
ajst-13420	16	2	is	be	AUX
ajst-13420	16	3	a	a	DET
ajst-13420	16	4	two	two	NUM
ajst-13420	16	5	-	-	PUNCT
ajst-13420	16	6	stage	stage	NOUN
ajst-13420	16	7	detection	detection	NOUN
ajst-13420	16	8	algorithm	algorithm	NOUN
ajst-13420	16	9	,	,	PUNCT
ajst-13420	16	10	such	such	ADJ
ajst-13420	16	11	as	as	ADP
ajst-13420	16	12	faster	fast	ADJ
ajst-13420	16	13	rcnn	rcnn	NOUN
ajst-13420	16	14	,	,	PUNCT
ajst-13420	16	15	cascade	cascade	NOUN
ajst-13420	16	16	rcnn	rcnn	NOUN
ajst-13420	16	17	,	,	PUNCT
ajst-13420	16	18	and	and	CCONJ
ajst-13420	16	19	mask	mask	PROPN
ajst-13420	16	20	rcnn	rcnn	PROPN
ajst-13420	16	21	.	.	PUNCT
ajst-13420	17	1	hu	hu	PROPN
ajst-13420	17	2	et	et	PROPN
ajst-13420	17	3	al	al	PROPN
ajst-13420	17	4	.	.	PUNCT
ajst-13420	18	1	[	[	X
ajst-13420	18	2	1	1	X
ajst-13420	18	3	]	]	PUNCT
ajst-13420	18	4	built	build	VERB
ajst-13420	18	5	a	a	DET
ajst-13420	18	6	new	new	ADJ
ajst-13420	18	7	network	network	NOUN
ajst-13420	18	8	based	base	VERB
ajst-13420	18	9	on	on	ADP
ajst-13420	18	10	faster	fast	ADJ
ajst-13420	18	11	rcnn	rcnn	PROPN
ajst-13420	18	12	to	to	PART
ajst-13420	18	13	detect	detect	VERB
ajst-13420	18	14	pcb	pcb	NOUN
ajst-13420	18	15	defect	defect	NOUN
ajst-13420	18	16	images	image	NOUN
ajst-13420	18	17	,	,	PUNCT
ajst-13420	18	18	which	which	PRON
ajst-13420	18	19	can	can	AUX
ajst-13420	18	20	more	more	ADV
ajst-13420	18	21	accurately	accurately	ADV
ajst-13420	18	22	detect	detect	VERB
ajst-13420	18	23	small	small	ADJ
ajst-13420	18	24	defects	defect	NOUN
ajst-13420	18	25	on	on	ADP
ajst-13420	18	26	pcb	pcb	PROPN
ajst-13420	18	27	.	.	PUNCT
ajst-13420	19	1	ding	de	VERB
ajst-13420	19	2	et	et	PROPN
ajst-13420	19	3	al	al	PROPN
ajst-13420	19	4	.	.	PUNCT
ajst-13420	20	1	[	[	X
ajst-13420	20	2	2	2	X
ajst-13420	20	3	]	]	PUNCT
ajst-13420	20	4	proposed	propose	VERB
ajst-13420	20	5	a	a	DET
ajst-13420	20	6	tiny	tiny	ADJ
ajst-13420	20	7	defect	defect	NOUN
ajst-13420	20	8	detection	detection	NOUN
ajst-13420	20	9	network	network	NOUN
ajst-13420	20	10	tdd	tdd	NOUN
ajst-13420	20	11	-	-	PUNCT
ajst-13420	20	12	net	net	NOUN
ajst-13420	20	13	based	base	VERB
ajst-13420	20	14	on	on	ADP
ajst-13420	20	15	faster	fast	ADJ
ajst-13420	20	16	rcnn	rcnn	PROPN
ajst-13420	20	17	.	.	PUNCT
ajst-13420	21	1	the	the	DET
ajst-13420	21	2	results	result	NOUN
ajst-13420	21	3	showed	show	VERB
ajst-13420	21	4	that	that	SCONJ
ajst-13420	21	5	the	the	DET
ajst-13420	21	6	map	map	NOUN
ajst-13420	21	7	in	in	ADP
ajst-13420	21	8	pcb	pcb	NOUN
ajst-13420	21	9	defect	defect	NOUN
ajst-13420	21	10	detection	detection	NOUN
ajst-13420	21	11	reached	reach	VERB
ajst-13420	21	12	98.0	98.0	NUM
ajst-13420	21	13	%	%	NOUN
ajst-13420	21	14	.	.	PUNCT
ajst-13420	22	1	the	the	DET
ajst-13420	22	2	other	other	ADJ
ajst-13420	22	3	is	be	AUX
ajst-13420	22	4	a	a	DET
ajst-13420	22	5	singlestage	singlestage	NOUN
ajst-13420	22	6	detection	detection	NOUN
ajst-13420	22	7	algorithm	algorithm	NOUN
ajst-13420	22	8	,	,	PUNCT
ajst-13420	22	9	such	such	ADJ
ajst-13420	22	10	as	as	ADP
ajst-13420	22	11	yolo	yolo	ADJ
ajst-13420	22	12	series	series	PROPN
ajst-13420	22	13	,	,	PUNCT
ajst-13420	22	14	ssd	ssd	PROPN
ajst-13420	22	15	,	,	PUNCT
ajst-13420	22	16	etc	etc	X
ajst-13420	22	17	.	.	X
ajst-13420	22	18	wang	wang	PROPN
ajst-13420	22	19	et	et	PROPN
ajst-13420	22	20	al	al	PROPN
ajst-13420	22	21	.	.	PUNCT
ajst-13420	23	1	[	[	X
ajst-13420	23	2	3	3	X
ajst-13420	23	3	]	]	PUNCT
ajst-13420	23	4	proposed	propose	VERB
ajst-13420	23	5	a	a	DET
ajst-13420	23	6	pcb	pcb	NOUN
ajst-13420	23	7	plug	plug	VERB
ajst-13420	23	8	-	-	PUNCT
ajst-13420	23	9	in	in	ADP
ajst-13420	23	10	solder	solder	NOUN
ajst-13420	23	11	joint	joint	NOUN
ajst-13420	23	12	defect	defect	NOUN
ajst-13420	23	13	detection	detection	NOUN
ajst-13420	23	14	method	method	NOUN
ajst-13420	23	15	based	base	VERB
ajst-13420	23	16	on	on	ADP
ajst-13420	23	17	yolov3	yolov3	PROPN
ajst-13420	23	18	that	that	PRON
ajst-13420	23	19	combines	combine	VERB
ajst-13420	23	20	ordered	order	VERB
ajst-13420	23	21	probability	probability	NOUN
ajst-13420	23	22	density	density	NOUN
ajst-13420	23	23	weighting	weighting	NOUN
ajst-13420	23	24	and	and	CCONJ
ajst-13420	23	25	attention	attention	NOUN
ajst-13420	23	26	mechanisms	mechanism	NOUN
ajst-13420	23	27	.	.	PUNCT
ajst-13420	24	1	after	after	ADP
ajst-13420	24	2	testing	testing	NOUN
ajst-13420	24	3	,	,	PUNCT
ajst-13420	24	4	the	the	DET
ajst-13420	24	5	average	average	ADJ
ajst-13420	24	6	accuracy	accuracy	NOUN
ajst-13420	24	7	of	of	ADP
ajst-13420	24	8	the	the	DET
ajst-13420	24	9	improved	improve	VERB
ajst-13420	24	10	method	method	NOUN
ajst-13420	24	11	can	can	AUX
ajst-13420	24	12	reach	reach	VERB
ajst-13420	24	13	96.69	96.69	NUM
ajst-13420	24	14	%	%	NOUN
ajst-13420	24	15	and	and	CCONJ
ajst-13420	24	16	is	be	AUX
ajst-13420	24	17	better	well	ADJ
ajst-13420	24	18	than	than	ADP
ajst-13420	24	19	the	the	DET
ajst-13420	24	20	original	original	ADJ
ajst-13420	24	21	network	network	NOUN
ajst-13420	24	22	.	.	PUNCT
ajst-13420	25	1	better	well	ADJ
ajst-13420	25	2	convergence	convergence	NOUN
ajst-13420	25	3	.	.	PUNCT
ajst-13420	26	1	liao	liao	PROPN
ajst-13420	26	2	et	et	PROPN
ajst-13420	26	3	al	al	PROPN
ajst-13420	26	4	.	.	PUNCT
ajst-13420	27	1	[	[	X
ajst-13420	27	2	4	4	X
ajst-13420	27	3	]	]	PUNCT
ajst-13420	27	4	proposed	propose	VERB
ajst-13420	27	5	an	an	DET
ajst-13420	27	6	algorithm	algorithm	NOUN
ajst-13420	27	7	based	base	VERB
ajst-13420	27	8	on	on	ADP
ajst-13420	27	9	improved	improve	VERB
ajst-13420	27	10	yolov4	yolov4	NOUN
ajst-13420	27	11	for	for	ADP
ajst-13420	27	12	pcb	pcb	NOUN
ajst-13420	27	13	surface	surface	NOUN
ajst-13420	27	14	defects	defect	NOUN
ajst-13420	27	15	.	.	PUNCT
ajst-13420	28	1	experimental	experimental	ADJ
ajst-13420	28	2	results	result	NOUN
ajst-13420	28	3	show	show	VERB
ajst-13420	28	4	that	that	SCONJ
ajst-13420	28	5	the	the	DET
ajst-13420	28	6	average	average	ADJ
ajst-13420	28	7	accuracy	accuracy	NOUN
ajst-13420	28	8	reaches	reach	VERB
ajst-13420	28	9	98.6	98.6	NUM
ajst-13420	28	10	%	%	NOUN
ajst-13420	28	11	,	,	PUNCT
ajst-13420	28	12	reducing	reduce	VERB
ajst-13420	28	13	the	the	DET
ajst-13420	28	14	amount	amount	NOUN
ajst-13420	28	15	of	of	ADP
ajst-13420	28	16	model	model	NOUN
ajst-13420	28	17	parameters	parameter	NOUN
ajst-13420	28	18	and	and	CCONJ
ajst-13420	28	19	calculations	calculation	NOUN
ajst-13420	28	20	and	and	CCONJ
ajst-13420	28	21	achieving	achieve	VERB
ajst-13420	28	22	high	high	ADJ
ajst-13420	28	23	performance	performance	NOUN
ajst-13420	28	24	.	.	PUNCT
ajst-13420	29	1	tang	tang	PROPN
ajst-13420	29	2	et	et	PROPN
ajst-13420	29	3	al	al	PROPN
ajst-13420	29	4	.	.	PUNCT
ajst-13420	30	1	[	[	X
ajst-13420	30	2	5	5	NUM
ajst-13420	30	3	]	]	PUNCT
ajst-13420	30	4	proposed	propose	VERB
ajst-13420	30	5	a	a	DET
ajst-13420	30	6	pcb	pcb	NOUN
ajst-13420	30	7	surface	surface	NOUN
ajst-13420	30	8	defect	defect	NOUN
ajst-13420	30	9	detection	detection	NOUN
ajst-13420	30	10	algorithm	algorithm	NOUN
ajst-13420	30	11	pcbyolo	pcbyolo	NOUN
ajst-13420	30	12	based	base	VERB
ajst-13420	30	13	on	on	ADP
ajst-13420	30	14	yolov5	yolov5	PROPN
ajst-13420	30	15	.	.	PUNCT
ajst-13420	31	1	by	by	ADP
ajst-13420	31	2	introducing	introduce	VERB
ajst-13420	31	3	the	the	DET
ajst-13420	31	4	swin	swin	PROPN
ajst-13420	31	5	transformer	transformer	PROPN
ajst-13420	31	6	and	and	CCONJ
ajst-13420	31	7	k	k	ADJ
ajst-13420	31	8	-	-	PUNCT
ajst-13420	31	9	means++	means++	ADJ
ajst-13420	31	10	algorithm	algorithm	NOUN
ajst-13420	31	11	,	,	PUNCT
ajst-13420	31	12	pcb	pcb	PROPN
ajst-13420	31	13	-	-	PUNCT
ajst-13420	31	14	yolo	yolo	PROPN
ajst-13420	31	15	achieved	achieve	VERB
ajst-13420	31	16	a	a	DET
ajst-13420	31	17	good	good	ADJ
ajst-13420	31	18	balance	balance	NOUN
ajst-13420	31	19	between	between	ADP
ajst-13420	31	20	performance	performance	NOUN
ajst-13420	31	21	and	and	CCONJ
ajst-13420	31	22	consumption	consumption	NOUN
ajst-13420	31	23	.	.	PUNCT
ajst-13420	32	1	map	map	NOUN
ajst-13420	32	2	reached	reach	VERB
ajst-13420	32	3	95.97	95.97	NUM
ajst-13420	32	4	%	%	NOUN
ajst-13420	32	5	at	at	ADP
ajst-13420	32	6	92.5	92.5	NUM
ajst-13420	32	7	fps	fps	NOUN
ajst-13420	32	8	.	.	PUNCT
ajst-13420	33	1	chen	chen	PROPN
ajst-13420	33	2	et	et	PROPN
ajst-13420	33	3	al	al	PROPN
ajst-13420	33	4	.	.	PUNCT
ajst-13420	34	1	[	[	X
ajst-13420	34	2	6	6	NUM
ajst-13420	34	3	]	]	PUNCT
ajst-13420	34	4	proposed	propose	VERB
ajst-13420	34	5	a	a	DET
ajst-13420	34	6	pcb	pcb	NOUN
ajst-13420	34	7	defect	defect	NOUN
ajst-13420	34	8	detection	detection	NOUN
ajst-13420	34	9	algorithm	algorithm	NOUN
ajst-13420	34	10	based	base	VERB
ajst-13420	34	11	on	on	ADP
ajst-13420	34	12	improved	improved	ADJ
ajst-13420	34	13	yolov7	yolov7	NOUN
ajst-13420	34	14	.	.	PUNCT
ajst-13420	35	1	using	use	VERB
ajst-13420	35	2	fasternet	fasternet	NOUN
ajst-13420	35	3	as	as	ADP
ajst-13420	35	4	the	the	DET
ajst-13420	35	5	backbone	backbone	NOUN
ajst-13420	35	6	network	network	NOUN
ajst-13420	35	7	combined	combine	VERB
ajst-13420	35	8	with	with	ADP
ajst-13420	35	9	the	the	DET
ajst-13420	35	10	cbam	cbam	NOUN
ajst-13420	35	11	attention	attention	NOUN
ajst-13420	35	12	mechanism	mechanism	NOUN
ajst-13420	35	13	can	can	AUX
ajst-13420	35	14	effectively	effectively	ADV
ajst-13420	35	15	solve	solve	VERB
ajst-13420	35	16	the	the	DET
ajst-13420	35	17	problems	problem	NOUN
ajst-13420	35	18	of	of	ADP
ajst-13420	35	19	slow	slow	ADJ
ajst-13420	35	20	speed	speed	NOUN
ajst-13420	35	21	and	and	CCONJ
ajst-13420	35	22	low	low	ADJ
ajst-13420	35	23	accuracy	accuracy	NOUN
ajst-13420	35	24	in	in	ADP
ajst-13420	35	25	the	the	DET
ajst-13420	35	26	pcb	pcb	NOUN
ajst-13420	35	27	defect	defect	NOUN
ajst-13420	35	28	detection	detection	NOUN
ajst-13420	35	29	process	process	NOUN
ajst-13420	35	30	.	.	PUNCT
ajst-13420	36	1	however	however	ADV
ajst-13420	36	2	,	,	PUNCT
ajst-13420	36	3	the	the	DET
ajst-13420	36	4	above	above	ADJ
ajst-13420	36	5	method	method	NOUN
ajst-13420	36	6	models	model	NOUN
ajst-13420	36	7	may	may	AUX
ajst-13420	36	8	be	be	AUX
ajst-13420	36	9	too	too	ADV
ajst-13420	36	10	complex	complex	ADJ
ajst-13420	36	11	,	,	PUNCT
ajst-13420	36	12	require	require	VERB
ajst-13420	36	13	high	high	ADJ
ajst-13420	36	14	computing	computing	NOUN
ajst-13420	36	15	resources	resource	NOUN
ajst-13420	36	16	,	,	PUNCT
ajst-13420	36	17	and	and	CCONJ
ajst-13420	36	18	are	be	AUX
ajst-13420	36	19	unsuitable	unsuitable	ADJ
ajst-13420	36	20	for	for	ADP
ajst-13420	36	21	deployment	deployment	NOUN
ajst-13420	36	22	on	on	ADP
ajst-13420	36	23	lightweight	lightweight	ADJ
ajst-13420	36	24	devices	device	NOUN
ajst-13420	36	25	and	and	CCONJ
ajst-13420	36	26	mobile	mobile	ADJ
ajst-13420	36	27	devices	device	NOUN
ajst-13420	36	28	,	,	PUNCT
ajst-13420	36	29	limiting	limit	VERB
ajst-13420	36	30	their	their	PRON
ajst-13420	36	31	potential	potential	NOUN
ajst-13420	36	32	in	in	ADP
ajst-13420	36	33	actual	actual	ADJ
ajst-13420	36	34	pcb	pcb	NOUN
ajst-13420	36	35	defect	defect	NOUN
ajst-13420	36	36	detection	detection	NOUN
ajst-13420	36	37	applications	application	NOUN
ajst-13420	36	38	.	.	PUNCT
ajst-13420	37	1	to	to	PART
ajst-13420	37	2	overcome	overcome	VERB
ajst-13420	37	3	this	this	DET
ajst-13420	37	4	limitation	limitation	NOUN
ajst-13420	37	5	,	,	PUNCT
ajst-13420	37	6	this	this	DET
ajst-13420	37	7	study	study	NOUN
ajst-13420	37	8	aims	aim	VERB
ajst-13420	37	9	to	to	PART
ajst-13420	37	10	improve	improve	VERB
ajst-13420	37	11	the	the	DET
ajst-13420	37	12	yolov8	yolov8	NOUN
ajst-13420	37	13	model	model	NOUN
ajst-13420	37	14	to	to	PART
ajst-13420	37	15	make	make	VERB
ajst-13420	37	16	it	it	PRON
ajst-13420	37	17	more	more	ADV
ajst-13420	37	18	suitable	suitable	ADJ
ajst-13420	37	19	for	for	ADP
ajst-13420	37	20	pcb	pcb	NOUN
ajst-13420	37	21	defect	defect	NOUN
ajst-13420	37	22	detection	detection	NOUN
ajst-13420	37	23	applications	application	NOUN
ajst-13420	37	24	.	.	PUNCT
ajst-13420	38	1	specifically	specifically	ADV
ajst-13420	38	2	,	,	PUNCT
ajst-13420	38	3	the	the	DET
ajst-13420	38	4	goal	goal	NOUN
ajst-13420	38	5	is	be	AUX
ajst-13420	38	6	to	to	PART
ajst-13420	38	7	achieve	achieve	VERB
ajst-13420	38	8	lightweight	lightweight	ADJ
ajst-13420	38	9	models	model	NOUN
ajst-13420	38	10	to	to	PART
ajst-13420	38	11	reduce	reduce	VERB
ajst-13420	38	12	model	model	NOUN
ajst-13420	38	13	volume	volume	NOUN
ajst-13420	38	14	and	and	CCONJ
ajst-13420	38	15	computational	computational	ADJ
ajst-13420	38	16	requirements	requirement	NOUN
ajst-13420	38	17	while	while	SCONJ
ajst-13420	38	18	improving	improve	VERB
ajst-13420	38	19	detection	detection	NOUN
ajst-13420	38	20	performance	performance	NOUN
ajst-13420	38	21	to	to	PART
ajst-13420	38	22	ensure	ensure	VERB
ajst-13420	38	23	efficient	efficient	ADJ
ajst-13420	38	24	deployment	deployment	NOUN
ajst-13420	38	25	in	in	ADP
ajst-13420	38	26	limited	limited	ADJ
ajst-13420	38	27	resource	resource	NOUN
ajst-13420	38	28	environments	environment	NOUN
ajst-13420	38	29	such	such	ADJ
ajst-13420	38	30	as	as	ADP
ajst-13420	38	31	mobile	mobile	ADJ
ajst-13420	38	32	devices	device	NOUN
ajst-13420	38	33	.	.	PUNCT
ajst-13420	39	1	the	the	DET
ajst-13420	39	2	main	main	ADJ
ajst-13420	39	3	contributions	contribution	NOUN
ajst-13420	39	4	of	of	ADP
ajst-13420	39	5	this	this	DET
ajst-13420	39	6	article	article	NOUN
ajst-13420	39	7	are	be	AUX
ajst-13420	39	8	as	as	SCONJ
ajst-13420	39	9	follows	follow	VERB
ajst-13420	39	10	:	:	PUNCT
ajst-13420	39	11	(	(	PUNCT
ajst-13420	39	12	1	1	X
ajst-13420	39	13	)	)	PUNCT
ajst-13420	39	14	by	by	ADP
ajst-13420	39	15	improving	improve	VERB
ajst-13420	39	16	the	the	DET
ajst-13420	39	17	neck	neck	NOUN
ajst-13420	39	18	network	network	NOUN
ajst-13420	39	19	of	of	ADP
ajst-13420	39	20	the	the	DET
ajst-13420	39	21	original	original	ADJ
ajst-13420	39	22	yolov8	yolov8	NOUN
ajst-13420	39	23	while	while	SCONJ
ajst-13420	39	24	reducing	reduce	VERB
ajst-13420	39	25	the	the	DET
ajst-13420	39	26	number	number	NOUN
ajst-13420	39	27	of	of	ADP
ajst-13420	39	28	parameters	parameter	NOUN
ajst-13420	39	29	,	,	PUNCT
ajst-13420	39	30	the	the	DET
ajst-13420	39	31	detection	detection	NOUN
ajst-13420	39	32	accuracy	accuracy	NOUN
ajst-13420	39	33	of	of	ADP
ajst-13420	39	34	the	the	DET
ajst-13420	39	35	model	model	NOUN
ajst-13420	39	36	is	be	AUX
ajst-13420	39	37	also	also	ADV
ajst-13420	39	38	enhanced	enhance	VERB
ajst-13420	39	39	.	.	PUNCT
ajst-13420	40	1	(	(	PUNCT
ajst-13420	40	2	2	2	X
ajst-13420	40	3	)	)	PUNCT
ajst-13420	40	4	the	the	DET
ajst-13420	40	5	bifpn	bifpn	NOUN
ajst-13420	41	1	[	[	X
ajst-13420	41	2	7	7	NUM
ajst-13420	41	3	]	]	PUNCT
ajst-13420	41	4	is	be	AUX
ajst-13420	41	5	introduced	introduce	VERB
ajst-13420	41	6	into	into	ADP
ajst-13420	41	7	the	the	DET
ajst-13420	41	8	improved	improve	VERB
ajst-13420	41	9	neck	neck	NOUN
ajst-13420	41	10	network	network	NOUN
ajst-13420	41	11	so	so	SCONJ
ajst-13420	41	12	that	that	SCONJ
ajst-13420	41	13	the	the	DET
ajst-13420	41	14	neck	neck	NOUN
ajst-13420	41	15	network	network	NOUN
ajst-13420	41	16	can	can	AUX
ajst-13420	41	17	more	more	ADV
ajst-13420	41	18	effectively	effectively	ADV
ajst-13420	41	19	integrate	integrate	VERB
ajst-13420	41	20	multi	multi	ADJ
ajst-13420	41	21	-	-	ADJ
ajst-13420	41	22	scale	scale	ADJ
ajst-13420	41	23	feature	feature	NOUN
ajst-13420	41	24	networks	network	NOUN
ajst-13420	41	25	and	and	CCONJ
ajst-13420	41	26	improve	improve	VERB
ajst-13420	41	27	the	the	DET
ajst-13420	41	28	ability	ability	NOUN
ajst-13420	41	29	to	to	PART
ajst-13420	41	30	identify	identify	VERB
ajst-13420	41	31	small	small	ADJ
ajst-13420	41	32	target	target	NOUN
ajst-13420	41	33	defect	defect	NOUN
ajst-13420	41	34	features	feature	NOUN
ajst-13420	41	35	.	.	PUNCT
ajst-13420	42	1	(	(	PUNCT
ajst-13420	42	2	3	3	X
ajst-13420	42	3	)	)	PUNCT
ajst-13420	42	4	add	add	VERB
ajst-13420	42	5	the	the	DET
ajst-13420	42	6	shuffleattention	shuffleattention	NOUN
ajst-13420	42	7	(	(	PUNCT
ajst-13420	42	8	sa	sa	NOUN
ajst-13420	42	9	)	)	PUNCT
ajst-13420	43	1	[	[	X
ajst-13420	43	2	8	8	NUM
ajst-13420	43	3	]	]	PUNCT
ajst-13420	43	4	to	to	ADP
ajst-13420	43	5	the	the	DET
ajst-13420	43	6	improved	improve	VERB
ajst-13420	43	7	neck	neck	NOUN
ajst-13420	43	8	network	network	NOUN
ajst-13420	43	9	to	to	PART
ajst-13420	43	10	improve	improve	VERB
ajst-13420	43	11	the	the	DET
ajst-13420	43	12	model	model	NOUN
ajst-13420	43	13	's	's	PART
ajst-13420	43	14	ability	ability	NOUN
ajst-13420	43	15	to	to	PART
ajst-13420	43	16	locate	locate	VERB
ajst-13420	43	17	small	small	ADJ
ajst-13420	43	18	targets	target	NOUN
ajst-13420	43	19	and	and	CCONJ
ajst-13420	43	20	reduce	reduce	VERB
ajst-13420	43	21	the	the	DET
ajst-13420	43	22	false	false	ADJ
ajst-13420	43	23	detection	detection	NOUN
ajst-13420	43	24	rate	rate	NOUN
ajst-13420	43	25	and	and	CCONJ
ajst-13420	43	26	missed	miss	VERB
ajst-13420	43	27	detection	detection	NOUN
ajst-13420	43	28	rate	rate	NOUN
ajst-13420	43	29	.	.	PUNCT
ajst-13420	44	1	(	(	PUNCT
ajst-13420	44	2	4	4	X
ajst-13420	44	3	)	)	PUNCT
ajst-13420	44	4	replace	replace	NOUN
ajst-13420	44	5	ciou	ciou	NOUN
ajst-13420	44	6	with	with	ADP
ajst-13420	44	7	wiou	wiou	NOUN
ajst-13420	44	8	loss	loss	NOUN
ajst-13420	44	9	function	function	NOUN
ajst-13420	44	10	[	[	X
ajst-13420	44	11	9	9	NUM
ajst-13420	44	12	]	]	PUNCT
ajst-13420	44	13	to	to	PART
ajst-13420	44	14	improve	improve	VERB
ajst-13420	44	15	the	the	DET
ajst-13420	44	16	quality	quality	NOUN
ajst-13420	44	17	of	of	ADP
ajst-13420	44	18	anchor	anchor	NOUN
ajst-13420	44	19	boxes	box	NOUN
ajst-13420	44	20	,	,	PUNCT
ajst-13420	44	21	reduce	reduce	VERB
ajst-13420	44	22	the	the	DET
ajst-13420	44	23	difficulty	difficulty	NOUN
ajst-13420	44	24	of	of	ADP
ajst-13420	44	25	detecting	detect	VERB
ajst-13420	44	26	small	small	ADJ
ajst-13420	44	27	targets	target	NOUN
ajst-13420	44	28	,	,	PUNCT
ajst-13420	44	29	and	and	CCONJ
ajst-13420	44	30	improve	improve	VERB
ajst-13420	44	31	the	the	DET
ajst-13420	44	32	detection	detection	NOUN
ajst-13420	44	33	accuracy	accuracy	NOUN
ajst-13420	44	34	of	of	ADP
ajst-13420	44	35	defect	defect	ADJ
ajst-13420	44	36	features	feature	NOUN
ajst-13420	44	37	of	of	ADP
ajst-13420	44	38	small	small	ADJ
ajst-13420	44	39	targets	target	NOUN
ajst-13420	44	40	.	.	PUNCT
ajst-13420	45	1	298	298	NUM
ajst-13420	45	2	2	2	NUM
ajst-13420	45	3	.	.	PUNCT
ajst-13420	45	4	improve	improve	VERB
ajst-13420	45	5	yolov8	yolov8	NOUN
ajst-13420	45	6	network	network	NOUN
ajst-13420	45	7	structure	structure	NOUN
ajst-13420	45	8	2.1	2.1	NUM
ajst-13420	45	9	.	.	PUNCT
ajst-13420	46	1	improved	improve	VERB
ajst-13420	46	2	yolov8	yolov8	NOUN
ajst-13420	46	3	network	network	PROPN
ajst-13420	46	4	yolov8	yolov8	PROPN
ajst-13420	46	5	is	be	AUX
ajst-13420	46	6	one	one	NUM
ajst-13420	46	7	of	of	ADP
ajst-13420	46	8	the	the	DET
ajst-13420	46	9	latest	late	ADJ
ajst-13420	46	10	models	model	NOUN
ajst-13420	46	11	of	of	ADP
ajst-13420	46	12	the	the	DET
ajst-13420	46	13	yolo	yolo	ADJ
ajst-13420	46	14	series	series	NOUN
ajst-13420	46	15	[	[	X
ajst-13420	46	16	1014	1014	NUM
ajst-13420	46	17	]	]	PUNCT
ajst-13420	46	18	.	.	PUNCT
ajst-13420	47	1	although	although	SCONJ
ajst-13420	47	2	the	the	DET
ajst-13420	47	3	network	network	NOUN
ajst-13420	47	4	structure	structure	NOUN
ajst-13420	47	5	of	of	ADP
ajst-13420	47	6	yolov8	yolov8	NOUN
ajst-13420	47	7	is	be	AUX
ajst-13420	47	8	similar	similar	ADJ
ajst-13420	47	9	to	to	ADP
ajst-13420	47	10	that	that	PRON
ajst-13420	47	11	of	of	ADP
ajst-13420	47	12	yolov5	yolov5	NOUN
ajst-13420	47	13	,	,	PUNCT
ajst-13420	47	14	yolov8	yolov8	PROPN
ajst-13420	47	15	has	have	AUX
ajst-13420	47	16	made	make	VERB
ajst-13420	47	17	remarkable	remarkable	ADJ
ajst-13420	47	18	achievements	achievement	NOUN
ajst-13420	47	19	in	in	ADP
ajst-13420	47	20	object	object	NOUN
ajst-13420	47	21	detection	detection	NOUN
ajst-13420	47	22	through	through	ADP
ajst-13420	47	23	some	some	DET
ajst-13420	47	24	unique	unique	ADJ
ajst-13420	47	25	improvements	improvement	NOUN
ajst-13420	47	26	and	and	CCONJ
ajst-13420	47	27	performance	performance	NOUN
ajst-13420	47	28	optimization	optimization	NOUN
ajst-13420	47	29	.	.	PUNCT
ajst-13420	48	1	firstly	firstly	ADV
ajst-13420	48	2	,	,	PUNCT
ajst-13420	48	3	the	the	DET
ajst-13420	48	4	backbone	backbone	NOUN
ajst-13420	48	5	network	network	NOUN
ajst-13420	48	6	still	still	ADV
ajst-13420	48	7	adopts	adopt	VERB
ajst-13420	48	8	the	the	DET
ajst-13420	48	9	idea	idea	NOUN
ajst-13420	48	10	of	of	ADP
ajst-13420	48	11	csp	csp	PROPN
ajst-13420	48	12	but	but	CCONJ
ajst-13420	48	13	replaces	replace	VERB
ajst-13420	48	14	the	the	DET
ajst-13420	48	15	c3	c3	NOUN
ajst-13420	48	16	module	module	NOUN
ajst-13420	48	17	in	in	ADP
ajst-13420	48	18	yolov5	yolov5	NOUN
ajst-13420	48	19	with	with	ADP
ajst-13420	48	20	the	the	DET
ajst-13420	48	21	c2f	c2f	NOUN
ajst-13420	48	22	module	module	NOUN
ajst-13420	48	23	to	to	PART
ajst-13420	48	24	achieve	achieve	VERB
ajst-13420	48	25	further	further	ADJ
ajst-13420	48	26	lightweight	lightweight	NOUN
ajst-13420	48	27	and	and	CCONJ
ajst-13420	48	28	adjusts	adjust	VERB
ajst-13420	48	29	the	the	DET
ajst-13420	48	30	number	number	NOUN
ajst-13420	48	31	of	of	ADP
ajst-13420	48	32	channels	channel	NOUN
ajst-13420	48	33	for	for	ADP
ajst-13420	48	34	different	different	ADJ
ajst-13420	48	35	scale	scale	NOUN
ajst-13420	48	36	models	model	NOUN
ajst-13420	48	37	,	,	PUNCT
ajst-13420	48	38	significantly	significantly	ADV
ajst-13420	48	39	improving	improve	VERB
ajst-13420	48	40	the	the	DET
ajst-13420	48	41	model	model	NOUN
ajst-13420	48	42	's	's	PART
ajst-13420	48	43	performance	performance	NOUN
ajst-13420	48	44	.	.	PUNCT
ajst-13420	49	1	at	at	ADP
ajst-13420	49	2	the	the	DET
ajst-13420	49	3	same	same	ADJ
ajst-13420	49	4	time	time	NOUN
ajst-13420	49	5	,	,	PUNCT
ajst-13420	49	6	the	the	DET
ajst-13420	49	7	sppf	sppf	ADJ
ajst-13420	49	8	module	module	NOUN
ajst-13420	49	9	used	use	VERB
ajst-13420	49	10	in	in	ADP
ajst-13420	49	11	architectures	architecture	NOUN
ajst-13420	49	12	such	such	ADJ
ajst-13420	49	13	as	as	ADP
ajst-13420	49	14	yolov5	yolov5	NOUN
ajst-13420	49	15	is	be	AUX
ajst-13420	49	16	still	still	ADV
ajst-13420	49	17	used	use	VERB
ajst-13420	49	18	.	.	PUNCT
ajst-13420	50	1	the	the	DET
ajst-13420	50	2	neck	neck	NOUN
ajst-13420	50	3	network	network	NOUN
ajst-13420	50	4	still	still	ADV
ajst-13420	50	5	uses	use	VERB
ajst-13420	50	6	the	the	DET
ajst-13420	50	7	idea	idea	NOUN
ajst-13420	50	8	of	of	ADP
ajst-13420	50	9	pan	pan	NOUN
ajst-13420	50	10	,	,	PUNCT
ajst-13420	50	11	but	but	CCONJ
ajst-13420	50	12	the	the	DET
ajst-13420	50	13	convolution	convolution	NOUN
ajst-13420	50	14	structure	structure	NOUN
ajst-13420	50	15	of	of	ADP
ajst-13420	50	16	cbs1×1	cbs1×1	NOUN
ajst-13420	50	17	in	in	ADP
ajst-13420	50	18	the	the	DET
ajst-13420	50	19	up	up	ADV
ajst-13420	50	20	-	-	PUNCT
ajst-13420	50	21	sampling	sample	VERB
ajst-13420	50	22	stage	stage	NOUN
ajst-13420	50	23	of	of	ADP
ajst-13420	50	24	pan	pan	NOUN
ajst-13420	50	25	-	-	ADJ
ajst-13420	50	26	fpn	fpn	NOUN
ajst-13420	50	27	in	in	ADP
ajst-13420	50	28	yolov5	yolov5	NOUN
ajst-13420	50	29	is	be	AUX
ajst-13420	50	30	deleted	delete	VERB
ajst-13420	50	31	.	.	PUNCT
ajst-13420	51	1	the	the	DET
ajst-13420	51	2	head	head	NOUN
ajst-13420	51	3	network	network	NOUN
ajst-13420	51	4	changed	change	VERB
ajst-13420	51	5	from	from	ADP
ajst-13420	51	6	the	the	DET
ajst-13420	51	7	original	original	ADJ
ajst-13420	51	8	coupling	coupling	NOUN
ajst-13420	51	9	head	head	NOUN
ajst-13420	51	10	to	to	ADP
ajst-13420	51	11	the	the	DET
ajst-13420	51	12	decoupling	decouple	VERB
ajst-13420	51	13	head	head	NOUN
ajst-13420	51	14	,	,	PUNCT
ajst-13420	51	15	separating	separate	VERB
ajst-13420	51	16	the	the	DET
ajst-13420	51	17	classification	classification	NOUN
ajst-13420	51	18	head	head	NOUN
ajst-13420	51	19	and	and	CCONJ
ajst-13420	51	20	the	the	DET
ajst-13420	51	21	detection	detection	NOUN
ajst-13420	51	22	head	head	NOUN
ajst-13420	51	23	,	,	PUNCT
ajst-13420	51	24	and	and	CCONJ
ajst-13420	51	25	at	at	ADP
ajst-13420	51	26	the	the	DET
ajst-13420	51	27	same	same	ADJ
ajst-13420	51	28	time	time	NOUN
ajst-13420	51	29	changed	change	VERB
ajst-13420	51	30	from	from	ADP
ajst-13420	51	31	anchor	anchor	NOUN
ajst-13420	51	32	-	-	PUNCT
ajst-13420	51	33	based	base	VERB
ajst-13420	51	34	to	to	AUX
ajst-13420	51	35	anchor	anchor	NOUN
ajst-13420	51	36	-	-	PUNCT
ajst-13420	51	37	free	free	ADJ
ajst-13420	51	38	.	.	PUNCT
ajst-13420	52	1	the	the	DET
ajst-13420	52	2	taskalignedassigner	taskalignedassigner	NOUN
ajst-13420	52	3	matching	matching	NOUN
ajst-13420	52	4	strategy	strategy	NOUN
ajst-13420	52	5	is	be	AUX
ajst-13420	52	6	used	use	VERB
ajst-13420	52	7	for	for	ADP
ajst-13420	52	8	loss	loss	NOUN
ajst-13420	52	9	calculation	calculation	NOUN
ajst-13420	52	10	,	,	PUNCT
ajst-13420	52	11	and	and	CCONJ
ajst-13420	52	12	the	the	DET
ajst-13420	52	13	dfloss	dfloss	NOUN
ajst-13420	52	14	loss	loss	NOUN
ajst-13420	52	15	function	function	NOUN
ajst-13420	52	16	is	be	AUX
ajst-13420	52	17	introduced	introduce	VERB
ajst-13420	52	18	.	.	PUNCT
ajst-13420	53	1	yolov8	yolov8	NOUN
ajst-13420	53	2	can	can	AUX
ajst-13420	53	3	be	be	AUX
ajst-13420	53	4	used	use	VERB
ajst-13420	53	5	in	in	ADP
ajst-13420	53	6	various	various	ADJ
ajst-13420	53	7	application	application	NOUN
ajst-13420	53	8	fields	field	NOUN
ajst-13420	53	9	,	,	PUNCT
ajst-13420	53	10	including	include	VERB
ajst-13420	53	11	intelligent	intelligent	ADJ
ajst-13420	53	12	security	security	NOUN
ajst-13420	53	13	,	,	PUNCT
ajst-13420	53	14	automatic	automatic	ADJ
ajst-13420	53	15	driving	driving	NOUN
ajst-13420	53	16	,	,	PUNCT
ajst-13420	53	17	object	object	VERB
ajst-13420	53	18	tracking	tracking	NOUN
ajst-13420	53	19	,	,	PUNCT
ajst-13420	53	20	industrial	industrial	ADJ
ajst-13420	53	21	quality	quality	NOUN
ajst-13420	53	22	inspection	inspection	NOUN
ajst-13420	53	23	,	,	PUNCT
ajst-13420	53	24	etc	etc	X
ajst-13420	53	25	.	.	X
ajst-13420	54	1	its	its	PRON
ajst-13420	54	2	efficient	efficient	ADJ
ajst-13420	54	3	performance	performance	NOUN
ajst-13420	54	4	makes	make	VERB
ajst-13420	54	5	it	it	PRON
ajst-13420	54	6	ideal	ideal	ADJ
ajst-13420	54	7	for	for	ADP
ajst-13420	54	8	many	many	ADJ
ajst-13420	54	9	computer	computer	NOUN
ajst-13420	54	10	vision	vision	NOUN
ajst-13420	54	11	projects	project	NOUN
ajst-13420	54	12	.	.	PUNCT
ajst-13420	55	1	figure	figure	NOUN
ajst-13420	55	2	1	1	NUM
ajst-13420	55	3	.	.	PUNCT
ajst-13420	55	4	improved	improve	VERB
ajst-13420	55	5	yolov8	yolov8	NOUN
ajst-13420	55	6	structure	structure	NOUN
ajst-13420	55	7	diagram	diagram	NOUN
ajst-13420	55	8	this	this	DET
ajst-13420	55	9	article	article	NOUN
ajst-13420	55	10	further	far	ADV
ajst-13420	55	11	improves	improve	VERB
ajst-13420	55	12	the	the	DET
ajst-13420	55	13	yolov8	yolov8	PROPN
ajst-13420	55	14	network	network	PROPN
ajst-13420	55	15	model	model	PROPN
ajst-13420	55	16	,	,	PUNCT
ajst-13420	55	17	as	as	SCONJ
ajst-13420	55	18	shown	show	VERB
ajst-13420	55	19	in	in	ADP
ajst-13420	55	20	figure	figure	NOUN
ajst-13420	55	21	1	1	NUM
ajst-13420	55	22	.	.	PUNCT
ajst-13420	56	1	it	it	PRON
ajst-13420	56	2	first	first	ADV
ajst-13420	56	3	introduces	introduce	VERB
ajst-13420	56	4	an	an	DET
ajst-13420	56	5	improved	improved	ADJ
ajst-13420	56	6	neck	neck	NOUN
ajst-13420	56	7	network	network	NOUN
ajst-13420	56	8	structure	structure	NOUN
ajst-13420	56	9	to	to	PART
ajst-13420	56	10	reduce	reduce	VERB
ajst-13420	56	11	the	the	DET
ajst-13420	56	12	number	number	NOUN
ajst-13420	56	13	of	of	ADP
ajst-13420	56	14	parameters	parameter	NOUN
ajst-13420	56	15	and	and	CCONJ
ajst-13420	56	16	calculations	calculation	NOUN
ajst-13420	56	17	of	of	ADP
ajst-13420	56	18	the	the	DET
ajst-13420	56	19	model	model	NOUN
ajst-13420	56	20	.	.	PUNCT
ajst-13420	57	1	then	then	ADV
ajst-13420	57	2	,	,	PUNCT
ajst-13420	57	3	the	the	DET
ajst-13420	57	4	sa	sa	PROPN
ajst-13420	57	5	attention	attention	NOUN
ajst-13420	57	6	mechanism	mechanism	NOUN
ajst-13420	57	7	and	and	CCONJ
ajst-13420	57	8	bifpn	bifpn	PROPN
ajst-13420	57	9	structure	structure	NOUN
ajst-13420	57	10	are	be	AUX
ajst-13420	57	11	added	add	VERB
ajst-13420	57	12	to	to	ADP
ajst-13420	57	13	the	the	DET
ajst-13420	57	14	neck	neck	NOUN
ajst-13420	57	15	network	network	NOUN
ajst-13420	57	16	to	to	PART
ajst-13420	57	17	improve	improve	VERB
ajst-13420	57	18	the	the	DET
ajst-13420	57	19	multi	multi	ADJ
ajst-13420	57	20	-	-	ADJ
ajst-13420	57	21	scale	scale	ADJ
ajst-13420	57	22	feature	feature	NOUN
ajst-13420	57	23	fusion	fusion	NOUN
ajst-13420	57	24	ability	ability	NOUN
ajst-13420	57	25	of	of	ADP
ajst-13420	57	26	the	the	DET
ajst-13420	57	27	model	model	NOUN
ajst-13420	57	28	.	.	PUNCT
ajst-13420	58	1	finally	finally	ADV
ajst-13420	58	2	,	,	PUNCT
ajst-13420	58	3	ciou	ciou	NOUN
ajst-13420	58	4	is	be	AUX
ajst-13420	58	5	replaced	replace	VERB
ajst-13420	58	6	by	by	ADP
ajst-13420	58	7	the	the	DET
ajst-13420	58	8	wiou	wiou	NOUN
ajst-13420	58	9	loss	loss	NOUN
ajst-13420	58	10	function	function	NOUN
ajst-13420	58	11	to	to	PART
ajst-13420	58	12	speed	speed	VERB
ajst-13420	58	13	up	up	ADP
ajst-13420	58	14	the	the	DET
ajst-13420	58	15	convergence	convergence	NOUN
ajst-13420	58	16	of	of	ADP
ajst-13420	58	17	the	the	DET
ajst-13420	58	18	model	model	NOUN
ajst-13420	58	19	and	and	CCONJ
ajst-13420	58	20	improve	improve	VERB
ajst-13420	58	21	the	the	DET
ajst-13420	58	22	overall	overall	ADJ
ajst-13420	58	23	detection	detection	NOUN
ajst-13420	58	24	accuracy	accuracy	NOUN
ajst-13420	58	25	of	of	ADP
ajst-13420	58	26	the	the	DET
ajst-13420	58	27	model	model	NOUN
ajst-13420	58	28	.	.	PUNCT
ajst-13420	59	1	2.2	2.2	NUM
ajst-13420	59	2	.	.	PUNCT
ajst-13420	59	3	shuffleattention	shuffleattention	NOUN
ajst-13420	59	4	there	there	PRON
ajst-13420	59	5	are	be	VERB
ajst-13420	59	6	two	two	NUM
ajst-13420	59	7	main	main	ADJ
ajst-13420	59	8	types	type	NOUN
ajst-13420	59	9	of	of	ADP
ajst-13420	59	10	attention	attention	NOUN
ajst-13420	59	11	mechanisms	mechanism	NOUN
ajst-13420	59	12	,	,	PUNCT
ajst-13420	59	13	one	one	NUM
ajst-13420	59	14	is	be	AUX
ajst-13420	59	15	spatial	spatial	ADJ
ajst-13420	59	16	attention	attention	NOUN
ajst-13420	59	17	,	,	PUNCT
ajst-13420	59	18	and	and	CCONJ
ajst-13420	59	19	the	the	DET
ajst-13420	59	20	other	other	ADJ
ajst-13420	59	21	is	be	AUX
ajst-13420	59	22	channel	channel	NOUN
ajst-13420	59	23	attention	attention	NOUN
ajst-13420	59	24	.	.	PUNCT
ajst-13420	60	1	cbam	cbam	NOUN
ajst-13420	60	2	integrates	integrate	VERB
ajst-13420	60	3	these	these	DET
ajst-13420	60	4	two	two	NUM
ajst-13420	60	5	attention	attention	NOUN
ajst-13420	60	6	mechanisms	mechanism	NOUN
ajst-13420	60	7	and	and	CCONJ
ajst-13420	60	8	can	can	AUX
ajst-13420	60	9	achieve	achieve	VERB
ajst-13420	60	10	better	well	ADJ
ajst-13420	60	11	results	result	NOUN
ajst-13420	60	12	by	by	ADP
ajst-13420	60	13	capturing	capture	VERB
ajst-13420	60	14	the	the	DET
ajst-13420	60	15	dependencies	dependency	NOUN
ajst-13420	60	16	between	between	ADP
ajst-13420	60	17	channels	channel	NOUN
ajst-13420	60	18	and	and	CCONJ
ajst-13420	60	19	the	the	DET
ajst-13420	60	20	pixel	pixel	ADJ
ajst-13420	60	21	-	-	PUNCT
ajst-13420	60	22	level	level	NOUN
ajst-13420	60	23	relationships	relationship	NOUN
ajst-13420	60	24	in	in	ADP
ajst-13420	60	25	space	space	NOUN
ajst-13420	60	26	.	.	PUNCT
ajst-13420	61	1	however	however	ADV
ajst-13420	61	2	,	,	PUNCT
ajst-13420	61	3	while	while	SCONJ
ajst-13420	61	4	improving	improve	VERB
ajst-13420	61	5	accuracy	accuracy	NOUN
ajst-13420	61	6	,	,	PUNCT
ajst-13420	61	7	it	it	PRON
ajst-13420	61	8	also	also	ADV
ajst-13420	61	9	brings	bring	VERB
ajst-13420	61	10	more	more	ADJ
ajst-13420	61	11	calculations	calculation	NOUN
ajst-13420	61	12	.	.	PUNCT
ajst-13420	62	1	the	the	DET
ajst-13420	62	2	sa	sa	PROPN
ajst-13420	62	3	attention	attention	NOUN
ajst-13420	62	4	mechanism	mechanism	NOUN
ajst-13420	62	5	divides	divide	VERB
ajst-13420	62	6	the	the	DET
ajst-13420	62	7	spatial	spatial	ADJ
ajst-13420	62	8	and	and	CCONJ
ajst-13420	62	9	channel	channel	NOUN
ajst-13420	62	10	attention	attention	NOUN
ajst-13420	62	11	mechanisms	mechanism	NOUN
ajst-13420	62	12	into	into	ADP
ajst-13420	62	13	blocks	block	NOUN
ajst-13420	62	14	and	and	CCONJ
ajst-13420	62	15	uses	use	VERB
ajst-13420	62	16	them	they	PRON
ajst-13420	62	17	in	in	ADP
ajst-13420	62	18	parallel	parallel	NOUN
ajst-13420	62	19	to	to	PART
ajst-13420	62	20	combine	combine	VERB
ajst-13420	62	21	them	they	PRON
ajst-13420	62	22	efficiently	efficiently	ADV
ajst-13420	62	23	,	,	PUNCT
ajst-13420	62	24	improving	improve	VERB
ajst-13420	62	25	accuracy	accuracy	NOUN
ajst-13420	62	26	without	without	ADP
ajst-13420	62	27	causing	cause	VERB
ajst-13420	62	28	more	more	ADV
ajst-13420	62	29	additional	additional	ADJ
ajst-13420	62	30	calculations	calculation	NOUN
ajst-13420	62	31	.	.	PUNCT
ajst-13420	63	1	conv	conv	PROPN
ajst-13420	63	2	conv	conv	PROPN
ajst-13420	63	3	c2f	c2f	PROPN
ajst-13420	63	4	conv	conv	PROPN
ajst-13420	63	5	c2f	c2f	PROPN
ajst-13420	63	6	conv	conv	PROPN
ajst-13420	63	7	c2f	c2f	PROPN
ajst-13420	63	8	conv	conv	PROPN
ajst-13420	63	9	c2f	c2f	PROPN
ajst-13420	63	10	sppf	sppf	PROPN
ajst-13420	63	11	conv	conv	PROPN
ajst-13420	63	12	conv	conv	PROPN
ajst-13420	63	13	conv	conv	PROPN
ajst-13420	63	14	upsample	upsample	PROPN
ajst-13420	63	15	bifpn	bifpn	PROPN
ajst-13420	63	16	c2f	c2f	PROPN
ajst-13420	63	17	upsample	upsample	PROPN
ajst-13420	63	18	bifpn	bifpn	PROPN
ajst-13420	63	19	c2f	c2f	PROPN
ajst-13420	63	20	conv	conv	PROPN
ajst-13420	63	21	bifpn	bifpn	PROPN
ajst-13420	63	22	c2f	c2f	PROPN
ajst-13420	63	23	conv	conv	PROPN
ajst-13420	63	24	c2f	c2f	PROPN
ajst-13420	63	25	conv	conv	PROPN
ajst-13420	63	26	bifpn	bifpn	PROPN
ajst-13420	63	27	c2f	c2f	PROPN
ajst-13420	63	28	detect	detect	PROPN
ajst-13420	63	29	detect	detect	NOUN
ajst-13420	63	30	detect	detect	NOUN
ajst-13420	63	31	input	input	NOUN
ajst-13420	63	32	sppf	sppf	PROPN
ajst-13420	63	33	conv	conv	PROPN
ajst-13420	63	34	maxpool2d	maxpool2d	PROPN
ajst-13420	63	35	concatmaxpool2d	concatmaxpool2d	PROPN
ajst-13420	63	36	maxpool2d	maxpool2d	NOUN
ajst-13420	63	37	conv	conv	ADJ
ajst-13420	63	38	bifpn	bifpn	PROPN
ajst-13420	63	39	bottleneck	bottleneck	PROPN
ajst-13420	63	40	conv	conv	PROPN
ajst-13420	63	41	conv	conv	PROPN
ajst-13420	63	42	conv	conv	PROPN
ajst-13420	63	43	conv2d	conv2d	PROPN
ajst-13420	63	44	batchnorm2d	batchnorm2d	ADJ
ajst-13420	63	45	silu	silu	NOUN
ajst-13420	63	46	c2f	c2f	PROPN
ajst-13420	63	47	conv	conv	PROPN
ajst-13420	63	48	bottleneck	bottleneck	PROPN
ajst-13420	63	49	concatbottleneck	concatbottleneck	PROPN
ajst-13420	63	50	convsplit	convsplit	PROPN
ajst-13420	63	51	...	...	PUNCT
ajst-13420	63	52	n	n	PROPN
ajst-13420	63	53	sa	sa	PROPN
ajst-13420	63	54	sa	sa	PROPN
ajst-13420	63	55	sa	sa	PROPN
ajst-13420	63	56	299	299	NUM
ajst-13420	63	57	figure	figure	NOUN
ajst-13420	63	58	2	2	NUM
ajst-13420	63	59	.	.	PUNCT
ajst-13420	63	60	sa	sa	NOUN
ajst-13420	63	61	attention	attention	NOUN
ajst-13420	63	62	mechanism	mechanism	NOUN
ajst-13420	63	63	structure	structure	NOUN
ajst-13420	63	64	diagram	diagram	NOUN
ajst-13420	63	65	as	as	SCONJ
ajst-13420	63	66	shown	show	VERB
ajst-13420	63	67	in	in	ADP
ajst-13420	63	68	figure	figure	NOUN
ajst-13420	63	69	2	2	NUM
ajst-13420	63	70	,	,	PUNCT
ajst-13420	63	71	the	the	DET
ajst-13420	63	72	sa	sa	PROPN
ajst-13420	63	73	attention	attention	NOUN
ajst-13420	63	74	mechanism	mechanism	NOUN
ajst-13420	63	75	first	first	ADV
ajst-13420	63	76	divides	divide	VERB
ajst-13420	63	77	the	the	DET
ajst-13420	63	78	features	feature	NOUN
ajst-13420	63	79	into	into	ADP
ajst-13420	63	80	g	g	PROPN
ajst-13420	63	81	groups	group	NOUN
ajst-13420	63	82	,	,	PUNCT
ajst-13420	63	83	and	and	CCONJ
ajst-13420	63	84	a	a	DET
ajst-13420	63	85	part	part	NOUN
ajst-13420	63	86	of	of	ADP
ajst-13420	63	87	each	each	DET
ajst-13420	63	88	group	group	NOUN
ajst-13420	63	89	uses	use	VERB
ajst-13420	63	90	the	the	DET
ajst-13420	63	91	channel	channel	NOUN
ajst-13420	63	92	attention	attention	NOUN
ajst-13420	63	93	mechanism	mechanism	NOUN
ajst-13420	63	94	,	,	PUNCT
ajst-13420	63	95	as	as	SCONJ
ajst-13420	63	96	shown	show	VERB
ajst-13420	63	97	in	in	ADP
ajst-13420	63	98	the	the	DET
ajst-13420	63	99	gray	gray	ADJ
ajst-13420	63	100	part	part	NOUN
ajst-13420	63	101	of	of	ADP
ajst-13420	63	102	the	the	DET
ajst-13420	63	103	figure	figure	NOUN
ajst-13420	63	104	.	.	PUNCT
ajst-13420	64	1	the	the	DET
ajst-13420	64	2	specific	specific	ADJ
ajst-13420	64	3	implementation	implementation	NOUN
ajst-13420	64	4	is	be	AUX
ajst-13420	64	5	similar	similar	ADJ
ajst-13420	64	6	to	to	ADP
ajst-13420	64	7	the	the	DET
ajst-13420	64	8	se	se	PROPN
ajst-13420	64	9	attention	attention	NOUN
ajst-13420	64	10	mechanism[15	mechanism[15	NOUN
ajst-13420	64	11	]	]	X
ajst-13420	64	12	;	;	PUNCT
ajst-13420	64	13	another	another	DET
ajst-13420	64	14	part	part	NOUN
ajst-13420	64	15	of	of	ADP
ajst-13420	64	16	it	it	PRON
ajst-13420	64	17	uses	use	VERB
ajst-13420	64	18	the	the	DET
ajst-13420	64	19	spatial	spatial	ADJ
ajst-13420	64	20	attention	attention	NOUN
ajst-13420	64	21	mechanism	mechanism	NOUN
ajst-13420	64	22	,	,	PUNCT
ajst-13420	64	23	as	as	SCONJ
ajst-13420	64	24	shown	show	VERB
ajst-13420	64	25	in	in	ADP
ajst-13420	64	26	the	the	DET
ajst-13420	64	27	yellow	yellow	ADJ
ajst-13420	64	28	part	part	NOUN
ajst-13420	64	29	of	of	ADP
ajst-13420	64	30	the	the	DET
ajst-13420	64	31	figure	figure	NOUN
ajst-13420	64	32	,	,	PUNCT
ajst-13420	64	33	where	where	SCONJ
ajst-13420	64	34	gn	gn	PROPN
ajst-13420	64	35	represents	represent	VERB
ajst-13420	64	36	the	the	DET
ajst-13420	64	37	group	group	NOUN
ajst-13420	64	38	normalization	normalization	NOUN
ajst-13420	64	39	operation	operation	NOUN
ajst-13420	64	40	.	.	PUNCT
ajst-13420	65	1	then	then	ADV
ajst-13420	65	2	the	the	DET
ajst-13420	65	3	two	two	NUM
ajst-13420	65	4	parts	part	NOUN
ajst-13420	65	5	are	be	AUX
ajst-13420	65	6	superimposed	superimpose	VERB
ajst-13420	65	7	according	accord	VERB
ajst-13420	65	8	to	to	ADP
ajst-13420	65	9	the	the	DET
ajst-13420	65	10	number	number	NOUN
ajst-13420	65	11	of	of	ADP
ajst-13420	65	12	channels	channel	NOUN
ajst-13420	65	13	to	to	PART
ajst-13420	65	14	achieve	achieve	VERB
ajst-13420	65	15	information	information	NOUN
ajst-13420	65	16	fusion	fusion	NOUN
ajst-13420	65	17	.	.	PUNCT
ajst-13420	66	1	finally	finally	ADV
ajst-13420	66	2	,	,	PUNCT
ajst-13420	66	3	a	a	DET
ajst-13420	66	4	random	random	ADJ
ajst-13420	66	5	mixing	mixing	NOUN
ajst-13420	66	6	operation	operation	NOUN
ajst-13420	66	7	is	be	AUX
ajst-13420	66	8	performed	perform	VERB
ajst-13420	66	9	on	on	ADP
ajst-13420	66	10	g	g	PROPN
ajst-13420	66	11	groups	group	NOUN
ajst-13420	66	12	to	to	PART
ajst-13420	66	13	obtain	obtain	VERB
ajst-13420	66	14	the	the	DET
ajst-13420	66	15	final	final	ADJ
ajst-13420	66	16	output	output	NOUN
ajst-13420	66	17	feature	feature	NOUN
ajst-13420	66	18	map	map	NOUN
ajst-13420	66	19	.	.	PUNCT
ajst-13420	67	1	in	in	ADP
ajst-13420	67	2	current	current	ADJ
ajst-13420	67	3	pcb	pcb	NOUN
ajst-13420	67	4	defect	defect	NOUN
ajst-13420	67	5	detection	detection	NOUN
ajst-13420	67	6	tasks	task	NOUN
ajst-13420	67	7	,	,	PUNCT
ajst-13420	67	8	due	due	ADP
ajst-13420	67	9	to	to	ADP
ajst-13420	67	10	the	the	DET
ajst-13420	67	11	small	small	ADJ
ajst-13420	67	12	size	size	NOUN
ajst-13420	67	13	of	of	ADP
ajst-13420	67	14	defect	defect	NOUN
ajst-13420	67	15	features	feature	NOUN
ajst-13420	67	16	,	,	PUNCT
ajst-13420	67	17	traditional	traditional	ADJ
ajst-13420	67	18	inspection	inspection	NOUN
ajst-13420	67	19	methods	method	NOUN
ajst-13420	67	20	do	do	AUX
ajst-13420	67	21	not	not	PART
ajst-13420	67	22	perform	perform	VERB
ajst-13420	67	23	well	well	ADV
ajst-13420	67	24	in	in	ADP
ajst-13420	67	25	handling	handle	VERB
ajst-13420	67	26	these	these	DET
ajst-13420	67	27	small	small	ADJ
ajst-13420	67	28	-	-	PUNCT
ajst-13420	67	29	sized	sized	ADJ
ajst-13420	67	30	features	feature	NOUN
ajst-13420	67	31	because	because	SCONJ
ajst-13420	67	32	they	they	PRON
ajst-13420	67	33	are	be	AUX
ajst-13420	67	34	difficult	difficult	ADJ
ajst-13420	67	35	to	to	PART
ajst-13420	67	36	capture	capture	VERB
ajst-13420	67	37	and	and	CCONJ
ajst-13420	67	38	emphasize	emphasize	VERB
ajst-13420	67	39	.	.	PUNCT
ajst-13420	68	1	in	in	ADP
ajst-13420	68	2	order	order	NOUN
ajst-13420	68	3	to	to	PART
ajst-13420	68	4	solve	solve	VERB
ajst-13420	68	5	this	this	DET
ajst-13420	68	6	problem	problem	NOUN
ajst-13420	68	7	,	,	PUNCT
ajst-13420	68	8	this	this	DET
ajst-13420	68	9	article	article	NOUN
ajst-13420	68	10	decided	decide	VERB
ajst-13420	68	11	to	to	PART
ajst-13420	68	12	introduce	introduce	VERB
ajst-13420	68	13	the	the	DET
ajst-13420	68	14	sa	sa	PROPN
ajst-13420	68	15	attention	attention	NOUN
ajst-13420	68	16	mechanism	mechanism	NOUN
ajst-13420	68	17	to	to	PART
ajst-13420	68	18	improve	improve	VERB
ajst-13420	68	19	the	the	DET
ajst-13420	68	20	detection	detection	NOUN
ajst-13420	68	21	accuracy	accuracy	NOUN
ajst-13420	68	22	of	of	ADP
ajst-13420	68	23	pcb	pcb	NOUN
ajst-13420	68	24	defects	defect	NOUN
ajst-13420	68	25	without	without	ADP
ajst-13420	68	26	affecting	affect	VERB
ajst-13420	68	27	the	the	DET
ajst-13420	68	28	amount	amount	NOUN
ajst-13420	68	29	of	of	ADP
ajst-13420	68	30	calculation	calculation	NOUN
ajst-13420	68	31	.	.	PUNCT
ajst-13420	69	1	2.3	2.3	NUM
ajst-13420	69	2	.	.	PUNCT
ajst-13420	70	1	bifpn	bifpn	PROPN
ajst-13420	70	2	structure	structure	NOUN
ajst-13420	70	3	the	the	DET
ajst-13420	70	4	panet	panet	NOUN
ajst-13420	70	5	module	module	NOUN
ajst-13420	71	1	[	[	X
ajst-13420	71	2	16	16	NUM
ajst-13420	71	3	]	]	PUNCT
ajst-13420	71	4	is	be	AUX
ajst-13420	71	5	utilized	utilize	VERB
ajst-13420	71	6	in	in	ADP
ajst-13420	71	7	the	the	DET
ajst-13420	71	8	neck	neck	NOUN
ajst-13420	71	9	network	network	NOUN
ajst-13420	71	10	of	of	ADP
ajst-13420	71	11	the	the	DET
ajst-13420	71	12	original	original	ADJ
ajst-13420	71	13	yolov8	yolov8	NOUN
ajst-13420	71	14	model	model	NOUN
ajst-13420	71	15	.	.	PUNCT
ajst-13420	72	1	as	as	SCONJ
ajst-13420	72	2	depicted	depict	VERB
ajst-13420	72	3	in	in	ADP
ajst-13420	72	4	figure	figure	NOUN
ajst-13420	72	5	3	3	NUM
ajst-13420	72	6	,	,	PUNCT
ajst-13420	72	7	panet	panet	NOUN
ajst-13420	72	8	combines	combine	VERB
ajst-13420	72	9	features	feature	NOUN
ajst-13420	72	10	of	of	ADP
ajst-13420	72	11	various	various	ADJ
ajst-13420	72	12	scales	scale	NOUN
ajst-13420	72	13	through	through	ADP
ajst-13420	72	14	top	top	ADJ
ajst-13420	72	15	-	-	PUNCT
ajst-13420	72	16	down	down	ADP
ajst-13420	72	17	information	information	NOUN
ajst-13420	72	18	transfer	transfer	NOUN
ajst-13420	72	19	,	,	PUNCT
ajst-13420	72	20	which	which	PRON
ajst-13420	72	21	requires	require	VERB
ajst-13420	72	22	significant	significant	ADJ
ajst-13420	72	23	computational	computational	ADJ
ajst-13420	72	24	resources	resource	NOUN
ajst-13420	72	25	.	.	PUNCT
ajst-13420	73	1	in	in	ADP
ajst-13420	73	2	terms	term	NOUN
ajst-13420	73	3	of	of	ADP
ajst-13420	73	4	complexity	complexity	NOUN
ajst-13420	73	5	,	,	PUNCT
ajst-13420	73	6	panet	panet	PROPN
ajst-13420	73	7	can	can	AUX
ajst-13420	73	8	be	be	AUX
ajst-13420	73	9	more	more	ADJ
ajst-13420	73	10	resource	resource	NOUN
ajst-13420	73	11	-	-	PUNCT
ajst-13420	73	12	intensive	intensive	ADJ
ajst-13420	73	13	compared	compare	VERB
ajst-13420	73	14	to	to	ADP
ajst-13420	73	15	lightweight	lightweight	ADJ
ajst-13420	73	16	methods	method	NOUN
ajst-13420	73	17	,	,	PUNCT
ajst-13420	73	18	resulting	result	VERB
ajst-13420	73	19	in	in	ADP
ajst-13420	73	20	slower	slow	ADJ
ajst-13420	73	21	training	training	NOUN
ajst-13420	73	22	and	and	CCONJ
ajst-13420	73	23	inference	inference	NOUN
ajst-13420	73	24	speeds	speed	NOUN
ajst-13420	73	25	.	.	PUNCT
ajst-13420	74	1	moreover	moreover	ADV
ajst-13420	74	2	,	,	PUNCT
ajst-13420	74	3	due	due	ADP
ajst-13420	74	4	to	to	ADP
ajst-13420	74	5	potential	potential	ADJ
ajst-13420	74	6	loss	loss	NOUN
ajst-13420	74	7	of	of	ADP
ajst-13420	74	8	detailed	detailed	ADJ
ajst-13420	74	9	information	information	NOUN
ajst-13420	74	10	for	for	ADP
ajst-13420	74	11	small	small	ADJ
ajst-13420	74	12	targets	target	NOUN
ajst-13420	74	13	from	from	ADP
ajst-13420	74	14	the	the	DET
ajst-13420	74	15	top	top	ADJ
ajst-13420	74	16	layer	layer	NOUN
ajst-13420	74	17	during	during	ADP
ajst-13420	74	18	top	top	ADJ
ajst-13420	74	19	-	-	PUNCT
ajst-13420	74	20	down	down	ADP
ajst-13420	74	21	information	information	NOUN
ajst-13420	74	22	transfer	transfer	NOUN
ajst-13420	74	23	,	,	PUNCT
ajst-13420	74	24	feature	feature	NOUN
ajst-13420	74	25	extraction	extraction	NOUN
ajst-13420	74	26	capabilities	capability	NOUN
ajst-13420	74	27	for	for	ADP
ajst-13420	74	28	small	small	ADJ
ajst-13420	74	29	targets	target	NOUN
ajst-13420	74	30	may	may	AUX
ajst-13420	74	31	be	be	AUX
ajst-13420	74	32	compromised	compromise	VERB
ajst-13420	74	33	.	.	PUNCT
ajst-13420	75	1	additionally	additionally	ADV
ajst-13420	75	2	,	,	PUNCT
ajst-13420	75	3	panet	panet	PROPN
ajst-13420	75	4	typically	typically	ADV
ajst-13420	75	5	necessitates	necessitate	VERB
ajst-13420	75	6	storing	store	VERB
ajst-13420	75	7	and	and	CCONJ
ajst-13420	75	8	processing	process	VERB
ajst-13420	75	9	numerous	numerous	ADJ
ajst-13420	75	10	feature	feature	NOUN
ajst-13420	75	11	maps	map	NOUN
ajst-13420	75	12	,	,	PUNCT
ajst-13420	75	13	particularly	particularly	ADV
ajst-13420	75	14	when	when	SCONJ
ajst-13420	75	15	handling	handle	VERB
ajst-13420	75	16	high	high	ADJ
ajst-13420	75	17	-	-	PUNCT
ajst-13420	75	18	resolution	resolution	NOUN
ajst-13420	75	19	images	image	NOUN
ajst-13420	75	20	;	;	PUNCT
ajst-13420	75	21	this	this	PRON
ajst-13420	75	22	could	could	AUX
ajst-13420	75	23	limit	limit	VERB
ajst-13420	75	24	its	its	PRON
ajst-13420	75	25	application	application	NOUN
ajst-13420	75	26	in	in	ADP
ajst-13420	75	27	resource	resource	NOUN
ajst-13420	75	28	-	-	PUNCT
ajst-13420	75	29	constrained	constrain	VERB
ajst-13420	75	30	environments	environment	NOUN
ajst-13420	75	31	.	.	PUNCT
ajst-13420	76	1	figure	figure	VERB
ajst-13420	76	2	3	3	NUM
ajst-13420	76	3	.	.	PUNCT
ajst-13420	77	1	diagrams	diagram	NOUN
ajst-13420	77	2	of	of	ADP
ajst-13420	77	3	panet	panet	PROPN
ajst-13420	77	4	and	and	CCONJ
ajst-13420	77	5	bifpn	bifpn	PROPN
ajst-13420	77	6	structures	structure	NOUN
ajst-13420	77	7	this	this	DET
ajst-13420	77	8	article	article	NOUN
ajst-13420	77	9	replaces	replace	VERB
ajst-13420	77	10	the	the	DET
ajst-13420	77	11	panet	panet	NOUN
ajst-13420	77	12	module	module	NOUN
ajst-13420	77	13	with	with	ADP
ajst-13420	77	14	the	the	DET
ajst-13420	77	15	bifpn	bifpn	PROPN
ajst-13420	77	16	module	module	NOUN
ajst-13420	77	17	.	.	PUNCT
ajst-13420	78	1	the	the	DET
ajst-13420	78	2	bifpn	bifpn	PROPN
ajst-13420	78	3	structure	structure	NOUN
ajst-13420	78	4	is	be	AUX
ajst-13420	78	5	shown	show	VERB
ajst-13420	78	6	in	in	ADP
ajst-13420	78	7	b	b	PROPN
ajst-13420	78	8	in	in	ADP
ajst-13420	78	9	figure	figure	NOUN
ajst-13420	78	10	3	3	NUM
ajst-13420	78	11	.	.	PUNCT
ajst-13420	79	1	first	first	ADV
ajst-13420	79	2	,	,	PUNCT
ajst-13420	79	3	bifpn	bifpn	PROPN
ajst-13420	79	4	introduces	introduce	VERB
ajst-13420	79	5	a	a	DET
ajst-13420	79	6	two	two	NUM
ajst-13420	79	7	-	-	PUNCT
ajst-13420	79	8	way	way	NOUN
ajst-13420	79	9	information	information	NOUN
ajst-13420	79	10	flow	flow	NOUN
ajst-13420	79	11	,	,	PUNCT
ajst-13420	79	12	transferring	transfer	VERB
ajst-13420	79	13	features	feature	NOUN
ajst-13420	79	14	freely	freely	ADV
ajst-13420	79	15	between	between	ADP
ajst-13420	79	16	different	different	ADJ
ajst-13420	79	17	levels	level	NOUN
ajst-13420	79	18	.	.	PUNCT
ajst-13420	80	1	this	this	DET
ajst-13420	80	2	bidirectionality	bidirectionality	NOUN
ajst-13420	80	3	helps	help	VERB
ajst-13420	80	4	to	to	PART
ajst-13420	80	5	capture	capture	VERB
ajst-13420	80	6	multi	multi	ADJ
ajst-13420	80	7	-	-	ADJ
ajst-13420	80	8	scale	scale	ADJ
ajst-13420	80	9	features	feature	NOUN
ajst-13420	80	10	better	well	ADV
ajst-13420	80	11	,	,	PUNCT
ajst-13420	80	12	especially	especially	ADV
ajst-13420	80	13	when	when	SCONJ
ajst-13420	80	14	dealing	deal	VERB
ajst-13420	80	15	with	with	ADP
ajst-13420	80	16	small	small	ADJ
ajst-13420	80	17	or	or	CCONJ
ajst-13420	80	18	large	large	ADJ
ajst-13420	80	19	targets	target	NOUN
ajst-13420	80	20	.	.	PUNCT
ajst-13420	81	1	then	then	ADV
ajst-13420	81	2	,	,	PUNCT
ajst-13420	81	3	the	the	DET
ajst-13420	81	4	structure	structure	NOUN
ajst-13420	81	5	of	of	ADP
ajst-13420	81	6	bifpn	bifpn	PROPN
ajst-13420	81	7	is	be	AUX
ajst-13420	81	8	relatively	relatively	ADV
ajst-13420	81	9	lightweight	lightweight	ADJ
ajst-13420	81	10	and	and	CCONJ
ajst-13420	81	11	usually	usually	ADV
ajst-13420	81	12	requires	require	VERB
ajst-13420	81	13	fewer	few	ADJ
ajst-13420	81	14	computing	compute	VERB
ajst-13420	81	15	resources	resource	NOUN
ajst-13420	81	16	.	.	PUNCT
ajst-13420	82	1	this	this	PRON
ajst-13420	82	2	is	be	AUX
ajst-13420	82	3	useful	useful	ADJ
ajst-13420	82	4	for	for	ADP
ajst-13420	82	5	object	object	NOUN
ajst-13420	82	6	detection	detection	NOUN
ajst-13420	82	7	tasks	task	NOUN
ajst-13420	82	8	embedded	embed	VERB
ajst-13420	82	9	in	in	ADP
ajst-13420	82	10	lightweight	lightweight	ADJ
ajst-13420	82	11	models	model	NOUN
ajst-13420	82	12	or	or	CCONJ
ajst-13420	82	13	mobile	mobile	NOUN
ajst-13420	82	14	devices	device	NOUN
ajst-13420	82	15	,	,	PUNCT
ajst-13420	82	16	providing	provide	VERB
ajst-13420	82	17	better	well	ADJ
ajst-13420	82	18	speed	speed	NOUN
ajst-13420	82	19	and	and	CCONJ
ajst-13420	82	20	efficiency	efficiency	NOUN
ajst-13420	82	21	.	.	PUNCT
ajst-13420	83	1	finally	finally	ADV
ajst-13420	83	2	,	,	PUNCT
ajst-13420	83	3	due	due	ADP
ajst-13420	83	4	to	to	ADP
ajst-13420	83	5	the	the	DET
ajst-13420	83	6	bidirectionality	bidirectionality	NOUN
ajst-13420	83	7	of	of	ADP
ajst-13420	83	8	bifpn	bifpn	PROPN
ajst-13420	83	9	,	,	PUNCT
ajst-13420	83	10	gradients	gradient	NOUN
ajst-13420	83	11	can	can	AUX
ajst-13420	83	12	be	be	AUX
ajst-13420	83	13	propagated	propagate	VERB
ajst-13420	83	14	back	back	ADV
ajst-13420	83	15	to	to	ADP
ajst-13420	83	16	the	the	DET
ajst-13420	83	17	underlying	underlie	VERB
ajst-13420	83	18	feature	feature	NOUN
ajst-13420	83	19	map	map	NOUN
ajst-13420	83	20	more	more	ADV
ajst-13420	83	21	smoothly	smoothly	ADV
ajst-13420	83	22	,	,	PUNCT
ajst-13420	83	23	helping	help	VERB
ajst-13420	83	24	to	to	PART
ajst-13420	83	25	train	train	VERB
ajst-13420	83	26	more	more	ADV
ajst-13420	83	27	profound	profound	ADJ
ajst-13420	83	28	and	and	CCONJ
ajst-13420	83	29	complex	complex	ADJ
ajst-13420	83	30	models	model	NOUN
ajst-13420	83	31	.	.	PUNCT
ajst-13420	84	1	this	this	PRON
ajst-13420	84	2	helps	help	VERB
ajst-13420	84	3	speed	speed	VERB
ajst-13420	84	4	up	up	ADP
ajst-13420	84	5	model	model	NOUN
ajst-13420	84	6	convergence	convergence	NOUN
ajst-13420	84	7	and	and	CCONJ
ajst-13420	84	8	improves	improve	VERB
ajst-13420	84	9	training	train	VERB
ajst-13420	84	10	stability	stability	NOUN
ajst-13420	84	11	.	.	PUNCT
ajst-13420	85	1	2.4	2.4	NUM
ajst-13420	85	2	.	.	PUNCT
ajst-13420	85	3	improved	improve	VERB
ajst-13420	85	4	neck	neck	NOUN
ajst-13420	85	5	network	network	NOUN
ajst-13420	85	6	the	the	DET
ajst-13420	85	7	design	design	NOUN
ajst-13420	85	8	of	of	ADP
ajst-13420	85	9	the	the	DET
ajst-13420	85	10	original	original	ADJ
ajst-13420	85	11	neck	neck	NOUN
ajst-13420	85	12	network	network	NOUN
ajst-13420	85	13	is	be	AUX
ajst-13420	85	14	usually	usually	ADV
ajst-13420	85	15	optimized	optimize	VERB
ajst-13420	85	16	for	for	ADP
ajst-13420	85	17	a	a	DET
ajst-13420	85	18	specific	specific	ADJ
ajst-13420	85	19	task	task	NOUN
ajst-13420	85	20	and	and	CCONJ
ajst-13420	85	21	data	datum	NOUN
ajst-13420	85	22	set	set	VERB
ajst-13420	85	23	,	,	PUNCT
ajst-13420	85	24	and	and	CCONJ
ajst-13420	85	25	the	the	DET
ajst-13420	85	26	performance	performance	NOUN
ajst-13420	85	27	of	of	ADP
ajst-13420	85	28	the	the	DET
ajst-13420	85	29	neck	neck	NOUN
ajst-13420	85	30	network	network	NOUN
ajst-13420	85	31	may	may	AUX
ajst-13420	85	32	be	be	AUX
ajst-13420	85	33	limited	limit	VERB
ajst-13420	85	34	if	if	SCONJ
ajst-13420	85	35	applied	apply	VERB
ajst-13420	85	36	to	to	ADP
ajst-13420	85	37	a	a	DET
ajst-13420	85	38	domain	domain	NOUN
ajst-13420	85	39	or	or	CCONJ
ajst-13420	85	40	data	datum	NOUN
ajst-13420	85	41	set	set	VERB
ajst-13420	85	42	that	that	PRON
ajst-13420	85	43	is	be	AUX
ajst-13420	85	44	different	different	ADJ
ajst-13420	85	45	from	from	ADP
ajst-13420	85	46	the	the	DET
ajst-13420	85	47	original	original	ADJ
ajst-13420	85	48	task	task	NOUN
ajst-13420	85	49	.	.	PUNCT
ajst-13420	86	1	the	the	DET
ajst-13420	86	2	yolov8	yolov8	PROPN
ajst-13420	86	3	original	original	ADJ
ajst-13420	86	4	neck	neck	NOUN
ajst-13420	86	5	network	network	NOUN
ajst-13420	86	6	usually	usually	ADV
ajst-13420	86	7	introduces	introduce	VERB
ajst-13420	86	8	an	an	DET
ajst-13420	86	9	additional	additional	ADJ
ajst-13420	86	10	computational	computational	ADJ
ajst-13420	86	11	burden	burden	NOUN
ajst-13420	86	12	because	because	SCONJ
ajst-13420	86	13	it	it	PRON
ajst-13420	86	14	requires	require	VERB
ajst-13420	86	15	further	further	ADJ
ajst-13420	86	16	processing	processing	NOUN
ajst-13420	86	17	of	of	ADP
ajst-13420	86	18	the	the	DET
ajst-13420	86	19	feature	feature	NOUN
ajst-13420	86	20	maps	map	NOUN
ajst-13420	86	21	extracted	extract	VERB
ajst-13420	86	22	by	by	ADP
ajst-13420	86	23	the	the	DET
ajst-13420	86	24	backbone	backbone	NOUN
ajst-13420	86	25	network	network	NOUN
ajst-13420	86	26	.	.	PUNCT
ajst-13420	87	1	this	this	PRON
ajst-13420	87	2	can	can	AUX
ajst-13420	87	3	cause	cause	VERB
ajst-13420	87	4	models	model	NOUN
ajst-13420	87	5	to	to	PART
ajst-13420	87	6	run	run	VERB
ajst-13420	87	7	slower	slow	ADJ
ajst-13420	87	8	when	when	SCONJ
ajst-13420	87	9	computing	computing	NOUN
ajst-13420	87	10	resources	resource	NOUN
ajst-13420	87	11	are	be	AUX
ajst-13420	87	12	limited	limit	VERB
ajst-13420	87	13	,	,	PUNCT
ajst-13420	87	14	especially	especially	ADV
ajst-13420	87	15	in	in	ADP
ajst-13420	87	16	embedded	embed	VERB
ajst-13420	87	17	devices	device	NOUN
ajst-13420	87	18	or	or	CCONJ
ajst-13420	87	19	mobile	mobile	ADJ
ajst-13420	87	20	applications	application	NOUN
ajst-13420	87	21	.	.	PUNCT
ajst-13420	88	1	at	at	ADP
ajst-13420	88	2	the	the	DET
ajst-13420	88	3	same	same	ADJ
ajst-13420	88	4	time	time	NOUN
ajst-13420	88	5	,	,	PUNCT
ajst-13420	88	6	the	the	DET
ajst-13420	88	7	design	design	NOUN
ajst-13420	88	8	of	of	ADP
ajst-13420	88	9	the	the	DET
ajst-13420	88	10	neck	neck	NOUN
ajst-13420	88	11	network	network	NOUN
ajst-13420	88	12	c	c	PROPN
ajst-13420	88	13	sgroup	sgroup	NOUN
ajst-13420	88	14	split	split	VERB
ajst-13420	88	15	fuse	fuse	NOUN
ajst-13420	88	16	fuse	fuse	NOUN
ajst-13420	88	17	aggregate	aggregate	ADJ
ajst-13420	88	18	...	...	PUNCT
ajst-13420	88	19	...	...	PUNCT
ajst-13420	88	20	...	...	PUNCT
ajst-13420	88	21	...	...	PUNCT
ajst-13420	89	1	c	c	X
ajst-13420	89	2	/	/	SYM
ajst-13420	89	3	g	g	NOUN
ajst-13420	89	4	c/2	c/2	NUM
ajst-13420	89	5	g	g	NOUN
ajst-13420	89	6	c/2	c/2	NUM
ajst-13420	89	7	g	g	PROPN
ajst-13420	89	8	gn	gn	PROPN
ajst-13420	89	9	fc(∙	fc(∙	NOUN
ajst-13420	89	10	)	)	PUNCT
ajst-13420	89	11	fc(∙	fc(∙	NOUN
ajst-13420	89	12	)	)	PUNCT
ajst-13420	89	13	σ(∙	σ(∙	ADJ
ajst-13420	89	14	)	)	PUNCT
ajst-13420	89	15	σ(∙	σ(∙	NOUN
ajst-13420	89	16	)	)	PUNCT
ajst-13420	89	17	fgp	fgp	ADJ
ajst-13420	89	18	element‐wise	element‐wise	NOUN
ajst-13420	89	19	  	  	SPACE
ajst-13420	89	20	product	product	NOUN
ajst-13420	89	21	c	c	NOUN
ajst-13420	89	22	concat	concat	NOUN
ajst-13420	89	23	σ(∙)=sigmoid(∙	σ(∙)=sigmoid(∙	PROPN
ajst-13420	89	24	)	)	PUNCT
ajst-13420	90	1	fc(∙)=wx+b	fc(∙)=wx+b	PROPN
ajst-13420	90	2	s	s	PART
ajst-13420	90	3	channel	channel	NOUN
ajst-13420	90	4	 	 	SPACE
ajst-13420	90	5	shuffle	shuffle	PROPN
ajst-13420	90	6	p3	p3	PROPN
ajst-13420	90	7	p4	p4	ADJ
ajst-13420	90	8	p5	p5	ADJ
ajst-13420	90	9	p6	p6	ADJ
ajst-13420	90	10	p7	p7	NOUN
ajst-13420	90	11	(	(	PUNCT
ajst-13420	90	12	a)panet	a)panet	PROPN
ajst-13420	90	13	(	(	PUNCT
ajst-13420	90	14	b)bifpn	b)bifpn	PROPN
ajst-13420	90	15	p3	p3	PROPN
ajst-13420	90	16	p4	p4	ADJ
ajst-13420	90	17	p5	p5	ADJ
ajst-13420	90	18	p6	p6	ADJ
ajst-13420	90	19	p7	p7	VERB
ajst-13420	90	20	repeated	repeat	VERB
ajst-13420	90	21	 	 	SPACE
ajst-13420	90	22	blocks	block	NOUN
ajst-13420	90	23	300	300	NUM
ajst-13420	90	24	may	may	AUX
ajst-13420	90	25	not	not	PART
ajst-13420	90	26	be	be	AUX
ajst-13420	90	27	suitable	suitable	ADJ
ajst-13420	90	28	for	for	ADP
ajst-13420	90	29	very	very	ADV
ajst-13420	90	30	small	small	ADJ
ajst-13420	90	31	or	or	CCONJ
ajst-13420	90	32	substantial	substantial	ADJ
ajst-13420	90	33	target	target	NOUN
ajst-13420	90	34	objects	object	NOUN
ajst-13420	90	35	because	because	SCONJ
ajst-13420	90	36	the	the	DET
ajst-13420	90	37	information	information	NOUN
ajst-13420	90	38	on	on	ADP
ajst-13420	90	39	the	the	DET
ajst-13420	90	40	feature	feature	NOUN
ajst-13420	90	41	map	map	NOUN
ajst-13420	90	42	may	may	AUX
ajst-13420	90	43	lose	lose	VERB
ajst-13420	90	44	details	detail	NOUN
ajst-13420	90	45	or	or	CCONJ
ajst-13420	90	46	fail	fail	VERB
ajst-13420	90	47	to	to	PART
ajst-13420	90	48	capture	capture	VERB
ajst-13420	90	49	the	the	DET
ajst-13420	90	50	global	global	ADJ
ajst-13420	90	51	characteristics	characteristic	NOUN
ajst-13420	90	52	of	of	ADP
ajst-13420	90	53	the	the	DET
ajst-13420	90	54	target	target	NOUN
ajst-13420	90	55	.	.	PUNCT
ajst-13420	91	1	this	this	DET
ajst-13420	91	2	paper	paper	NOUN
ajst-13420	91	3	improves	improve	VERB
ajst-13420	91	4	and	and	CCONJ
ajst-13420	91	5	optimizes	optimize	VERB
ajst-13420	91	6	the	the	DET
ajst-13420	91	7	neck	neck	NOUN
ajst-13420	91	8	network	network	NOUN
ajst-13420	91	9	for	for	ADP
ajst-13420	91	10	pcb	pcb	NOUN
ajst-13420	91	11	small	small	ADJ
ajst-13420	91	12	target	target	NOUN
ajst-13420	91	13	defect	defect	NOUN
ajst-13420	91	14	detection	detection	NOUN
ajst-13420	91	15	.	.	PUNCT
ajst-13420	92	1	figure	figure	NOUN
ajst-13420	92	2	4	4	NUM
ajst-13420	92	3	.	.	PUNCT
ajst-13420	92	4	improved	improve	VERB
ajst-13420	92	5	neck	neck	NOUN
ajst-13420	92	6	network	network	NOUN
ajst-13420	92	7	structure	structure	NOUN
ajst-13420	92	8	diagram	diagram	NOUN
ajst-13420	92	9	as	as	SCONJ
ajst-13420	92	10	shown	show	VERB
ajst-13420	92	11	in	in	ADP
ajst-13420	92	12	figure	figure	NOUN
ajst-13420	92	13	4	4	NUM
ajst-13420	92	14	,	,	PUNCT
ajst-13420	92	15	first	first	ADV
ajst-13420	92	16	,	,	PUNCT
ajst-13420	92	17	three	three	NUM
ajst-13420	92	18	convolutional	convolutional	ADJ
ajst-13420	92	19	layers	layer	NOUN
ajst-13420	92	20	are	be	AUX
ajst-13420	92	21	added	add	VERB
ajst-13420	92	22	after	after	ADP
ajst-13420	92	23	the	the	DET
ajst-13420	92	24	backbone	backbone	NOUN
ajst-13420	92	25	network	network	NOUN
ajst-13420	92	26	,	,	PUNCT
ajst-13420	92	27	and	and	CCONJ
ajst-13420	92	28	the	the	DET
ajst-13420	92	29	number	number	NOUN
ajst-13420	92	30	of	of	ADP
ajst-13420	92	31	channels	channel	NOUN
ajst-13420	92	32	in	in	ADP
ajst-13420	92	33	the	the	DET
ajst-13420	92	34	neck	neck	NOUN
ajst-13420	92	35	network	network	NOUN
ajst-13420	92	36	is	be	AUX
ajst-13420	92	37	fixed	fix	VERB
ajst-13420	92	38	to	to	ADP
ajst-13420	92	39	256	256	NUM
ajst-13420	92	40	so	so	SCONJ
ajst-13420	92	41	that	that	SCONJ
ajst-13420	92	42	the	the	DET
ajst-13420	92	43	network	network	NOUN
ajst-13420	92	44	focuses	focus	VERB
ajst-13420	92	45	more	more	ADJ
ajst-13420	92	46	on	on	ADP
ajst-13420	92	47	the	the	DET
ajst-13420	92	48	quality	quality	NOUN
ajst-13420	92	49	of	of	ADP
ajst-13420	92	50	feature	feature	NOUN
ajst-13420	92	51	fusion	fusion	NOUN
ajst-13420	92	52	rather	rather	ADV
ajst-13420	92	53	than	than	ADP
ajst-13420	92	54	the	the	DET
ajst-13420	92	55	quantity	quantity	NOUN
ajst-13420	92	56	while	while	SCONJ
ajst-13420	92	57	reducing	reduce	VERB
ajst-13420	92	58	the	the	DET
ajst-13420	92	59	network	network	NOUN
ajst-13420	92	60	memory	memory	NOUN
ajst-13420	92	61	footprint	footprint	NOUN
ajst-13420	92	62	and	and	CCONJ
ajst-13420	92	63	computational	computational	ADJ
ajst-13420	92	64	overhead	overhead	NOUN
ajst-13420	92	65	.	.	PUNCT
ajst-13420	93	1	then	then	ADV
ajst-13420	93	2	,	,	PUNCT
ajst-13420	93	3	the	the	DET
ajst-13420	93	4	p2	p2	PROPN
ajst-13420	93	5	part	part	NOUN
ajst-13420	93	6	in	in	ADP
ajst-13420	93	7	the	the	DET
ajst-13420	93	8	backbone	backbone	NOUN
ajst-13420	93	9	network	network	NOUN
ajst-13420	93	10	is	be	AUX
ajst-13420	93	11	added	add	VERB
ajst-13420	93	12	to	to	ADP
ajst-13420	93	13	the	the	DET
ajst-13420	93	14	feature	feature	NOUN
ajst-13420	93	15	fusion	fusion	NOUN
ajst-13420	93	16	of	of	ADP
ajst-13420	93	17	the	the	DET
ajst-13420	93	18	neck	neck	NOUN
ajst-13420	93	19	network	network	NOUN
ajst-13420	93	20	because	because	SCONJ
ajst-13420	93	21	it	it	PRON
ajst-13420	93	22	contains	contain	VERB
ajst-13420	93	23	more	more	ADV
ajst-13420	93	24	detailed	detailed	ADJ
ajst-13420	93	25	information	information	NOUN
ajst-13420	93	26	,	,	PUNCT
ajst-13420	93	27	which	which	PRON
ajst-13420	93	28	can	can	AUX
ajst-13420	93	29	help	help	VERB
ajst-13420	93	30	the	the	DET
ajst-13420	93	31	network	network	NOUN
ajst-13420	93	32	detect	detect	VERB
ajst-13420	93	33	smaller	small	ADJ
ajst-13420	93	34	targets	target	NOUN
ajst-13420	93	35	.	.	PUNCT
ajst-13420	94	1	the	the	DET
ajst-13420	94	2	features	feature	NOUN
ajst-13420	94	3	of	of	ADP
ajst-13420	94	4	p2	p2	PROPN
ajst-13420	94	5	can	can	AUX
ajst-13420	94	6	be	be	AUX
ajst-13420	94	7	used	use	VERB
ajst-13420	94	8	to	to	PART
ajst-13420	94	9	locate	locate	VERB
ajst-13420	94	10	the	the	DET
ajst-13420	94	11	bounding	bounding	NOUN
ajst-13420	94	12	box	box	NOUN
ajst-13420	94	13	of	of	ADP
ajst-13420	94	14	the	the	DET
ajst-13420	94	15	target	target	NOUN
ajst-13420	94	16	more	more	ADV
ajst-13420	94	17	accurately	accurately	ADV
ajst-13420	94	18	,	,	PUNCT
ajst-13420	94	19	which	which	PRON
ajst-13420	94	20	helps	help	VERB
ajst-13420	94	21	to	to	PART
ajst-13420	94	22	improve	improve	VERB
ajst-13420	94	23	the	the	DET
ajst-13420	94	24	localization	localization	NOUN
ajst-13420	94	25	accuracy	accuracy	NOUN
ajst-13420	94	26	of	of	ADP
ajst-13420	94	27	the	the	DET
ajst-13420	94	28	target	target	NOUN
ajst-13420	94	29	.	.	PUNCT
ajst-13420	95	1	finally	finally	ADV
ajst-13420	95	2	,	,	PUNCT
ajst-13420	95	3	three	three	NUM
ajst-13420	95	4	more	more	ADJ
ajst-13420	95	5	layers	layer	NOUN
ajst-13420	95	6	are	be	AUX
ajst-13420	95	7	added	add	VERB
ajst-13420	95	8	to	to	ADP
ajst-13420	95	9	the	the	DET
ajst-13420	95	10	neck	neck	NOUN
ajst-13420	95	11	network	network	NOUN
ajst-13420	95	12	,	,	PUNCT
ajst-13420	95	13	namely	namely	ADV
ajst-13420	95	14	conv	conv	ADJ
ajst-13420	95	15	,	,	PUNCT
ajst-13420	95	16	fusion	fusion	NOUN
ajst-13420	95	17	,	,	PUNCT
ajst-13420	95	18	and	and	CCONJ
ajst-13420	95	19	c2f	c2f	NOUN
ajst-13420	95	20	,	,	PUNCT
ajst-13420	95	21	to	to	PART
ajst-13420	95	22	improve	improve	VERB
ajst-13420	95	23	the	the	DET
ajst-13420	95	24	performance	performance	NOUN
ajst-13420	95	25	and	and	CCONJ
ajst-13420	95	26	detection	detection	NOUN
ajst-13420	95	27	accuracy	accuracy	NOUN
ajst-13420	95	28	of	of	ADP
ajst-13420	95	29	the	the	DET
ajst-13420	95	30	model	model	NOUN
ajst-13420	95	31	.	.	PUNCT
ajst-13420	96	1	among	among	ADP
ajst-13420	96	2	them	they	PRON
ajst-13420	96	3	,	,	PUNCT
ajst-13420	96	4	the	the	DET
ajst-13420	96	5	parameters	parameter	NOUN
ajst-13420	96	6	in	in	ADP
ajst-13420	96	7	fusion	fusion	NOUN
ajst-13420	96	8	are	be	AUX
ajst-13420	96	9	weight	weight	NOUN
ajst-13420	96	10	,	,	PUNCT
ajst-13420	96	11	adaptive	adaptive	ADJ
ajst-13420	96	12	,	,	PUNCT
ajst-13420	96	13	concat	concat	NOUN
ajst-13420	96	14	,	,	PUNCT
ajst-13420	96	15	and	and	CCONJ
ajst-13420	96	16	bifpn	bifpn	PROPN
ajst-13420	96	17	.	.	PUNCT
ajst-13420	97	1	this	this	DET
ajst-13420	97	2	article	article	NOUN
ajst-13420	97	3	uses	use	VERB
ajst-13420	97	4	the	the	DET
ajst-13420	97	5	bifpn	bifpn	PROPN
ajst-13420	97	6	fusion	fusion	NOUN
ajst-13420	97	7	method[17	method[17	VERB
ajst-13420	97	8	]	]	PUNCT
ajst-13420	97	9	.	.	PUNCT
ajst-13420	98	1	2.5	2.5	NUM
ajst-13420	98	2	.	.	PUNCT
ajst-13420	99	1	wiou	wiou	NOUN
ajst-13420	99	2	loss	loss	VERB
ajst-13420	99	3	the	the	DET
ajst-13420	99	4	original	original	ADJ
ajst-13420	99	5	yolov8	yolov8	NOUN
ajst-13420	99	6	model	model	NOUN
ajst-13420	99	7	uses	use	VERB
ajst-13420	99	8	the	the	DET
ajst-13420	99	9	ciou	ciou	NOUN
ajst-13420	99	10	bounding	bound	VERB
ajst-13420	99	11	box	box	NOUN
ajst-13420	99	12	loss	loss	NOUN
ajst-13420	99	13	function	function	NOUN
ajst-13420	99	14	.	.	PUNCT
ajst-13420	100	1	the	the	DET
ajst-13420	100	2	ciou	ciou	NOUN
ajst-13420	100	3	(	(	PUNCT
ajst-13420	100	4	complete	complete	ADJ
ajst-13420	100	5	intersection	intersection	NOUN
ajst-13420	100	6	over	over	ADP
ajst-13420	100	7	union	union	NOUN
ajst-13420	100	8	)	)	PUNCT
ajst-13420	100	9	loss	loss	NOUN
ajst-13420	100	10	function	function	NOUN
ajst-13420	100	11	calculates	calculate	VERB
ajst-13420	100	12	the	the	DET
ajst-13420	100	13	bounding	bounding	NOUN
ajst-13420	100	14	box	box	NOUN
ajst-13420	100	15	(	(	PUNCT
ajst-13420	100	16	bounding	bounding	NOUN
ajst-13420	100	17	box	box	NOUN
ajst-13420	100	18	)	)	PUNCT
ajst-13420	100	19	prediction	prediction	NOUN
ajst-13420	100	20	quality	quality	NOUN
ajst-13420	100	21	in	in	ADP
ajst-13420	100	22	the	the	DET
ajst-13420	100	23	target	target	NOUN
ajst-13420	100	24	detection	detection	NOUN
ajst-13420	100	25	task	task	NOUN
ajst-13420	100	26	.	.	PUNCT
ajst-13420	101	1	it	it	PRON
ajst-13420	101	2	is	be	AUX
ajst-13420	101	3	an	an	DET
ajst-13420	101	4	extension	extension	NOUN
ajst-13420	101	5	of	of	ADP
ajst-13420	101	6	iou	iou	NOUN
ajst-13420	101	7	(	(	PUNCT
ajst-13420	101	8	intersection	intersection	NOUN
ajst-13420	101	9	over	over	ADP
ajst-13420	101	10	union	union	NOUN
ajst-13420	101	11	)	)	PUNCT
ajst-13420	101	12	and	and	CCONJ
ajst-13420	101	13	aims	aim	VERB
ajst-13420	101	14	to	to	PART
ajst-13420	101	15	measure	measure	VERB
ajst-13420	101	16	the	the	DET
ajst-13420	101	17	degree	degree	NOUN
ajst-13420	101	18	of	of	ADP
ajst-13420	101	19	overlap	overlap	NOUN
ajst-13420	101	20	between	between	ADP
ajst-13420	101	21	two	two	NUM
ajst-13420	101	22	bounding	bounding	NOUN
ajst-13420	101	23	boxes	box	NOUN
ajst-13420	101	24	accurately	accurately	ADV
ajst-13420	101	25	.	.	PUNCT
ajst-13420	102	1	the	the	DET
ajst-13420	102	2	traditional	traditional	ADJ
ajst-13420	102	3	iou	iou	NOUN
ajst-13420	102	4	loss	loss	NOUN
ajst-13420	102	5	function	function	NOUN
ajst-13420	102	6	calculates	calculate	VERB
ajst-13420	102	7	the	the	DET
ajst-13420	102	8	intersection	intersection	NOUN
ajst-13420	102	9	and	and	CCONJ
ajst-13420	102	10	union	union	NOUN
ajst-13420	102	11	of	of	ADP
ajst-13420	102	12	two	two	NUM
ajst-13420	102	13	bounding	bounding	NOUN
ajst-13420	102	14	boxes	box	NOUN
ajst-13420	102	15	and	and	CCONJ
ajst-13420	102	16	then	then	ADV
ajst-13420	102	17	uses	use	VERB
ajst-13420	102	18	their	their	PRON
ajst-13420	102	19	ratio	ratio	NOUN
ajst-13420	102	20	to	to	PART
ajst-13420	102	21	measure	measure	VERB
ajst-13420	102	22	the	the	DET
ajst-13420	102	23	overlap	overlap	NOUN
ajst-13420	102	24	between	between	ADP
ajst-13420	102	25	the	the	DET
ajst-13420	102	26	predicted	predict	VERB
ajst-13420	102	27	and	and	CCONJ
ajst-13420	102	28	true	true	ADJ
ajst-13420	102	29	bounding	bounding	NOUN
ajst-13420	102	30	boxes	box	NOUN
ajst-13420	102	31	.	.	PUNCT
ajst-13420	103	1	however	however	ADV
ajst-13420	103	2	,	,	PUNCT
ajst-13420	103	3	there	there	PRON
ajst-13420	103	4	are	be	VERB
ajst-13420	103	5	some	some	DET
ajst-13420	103	6	problems	problem	NOUN
ajst-13420	103	7	with	with	ADP
ajst-13420	103	8	iou	iou	NOUN
ajst-13420	103	9	,	,	PUNCT
ajst-13420	103	10	especially	especially	ADV
ajst-13420	103	11	when	when	SCONJ
ajst-13420	103	12	the	the	DET
ajst-13420	103	13	height	height	NOUN
ajst-13420	103	14	or	or	CCONJ
ajst-13420	103	15	width	width	NOUN
ajst-13420	103	16	of	of	ADP
ajst-13420	103	17	the	the	DET
ajst-13420	103	18	bounding	bounding	NOUN
ajst-13420	103	19	box	box	NOUN
ajst-13420	103	20	is	be	AUX
ajst-13420	103	21	close	close	ADJ
ajst-13420	103	22	to	to	ADP
ajst-13420	103	23	zero	zero	NUM
ajst-13420	103	24	,	,	PUNCT
ajst-13420	103	25	which	which	PRON
ajst-13420	103	26	will	will	AUX
ajst-13420	103	27	lead	lead	VERB
ajst-13420	103	28	to	to	ADP
ajst-13420	103	29	inaccurate	inaccurate	ADJ
ajst-13420	103	30	loss	loss	NOUN
ajst-13420	103	31	gradients	gradient	NOUN
ajst-13420	103	32	,	,	PUNCT
ajst-13420	103	33	which	which	PRON
ajst-13420	103	34	is	be	AUX
ajst-13420	103	35	not	not	PART
ajst-13420	103	36	conducive	conducive	ADJ
ajst-13420	103	37	to	to	ADP
ajst-13420	103	38	model	model	NOUN
ajst-13420	103	39	training	training	NOUN
ajst-13420	103	40	.	.	PUNCT
ajst-13420	104	1	the	the	DET
ajst-13420	104	2	ciou	ciou	NOUN
ajst-13420	104	3	loss	loss	NOUN
ajst-13420	104	4	function	function	NOUN
ajst-13420	104	5	improves	improve	VERB
ajst-13420	104	6	iou	iou	NOUN
ajst-13420	104	7	by	by	ADP
ajst-13420	104	8	considering	consider	VERB
ajst-13420	104	9	the	the	DET
ajst-13420	104	10	relationship	relationship	NOUN
ajst-13420	104	11	between	between	ADP
ajst-13420	104	12	center	center	NOUN
ajst-13420	104	13	point	point	NOUN
ajst-13420	104	14	distance	distance	NOUN
ajst-13420	104	15	,	,	PUNCT
ajst-13420	104	16	width	width	ADJ
ajst-13420	104	17	,	,	PUNCT
ajst-13420	104	18	and	and	CCONJ
ajst-13420	104	19	height	height	NOUN
ajst-13420	104	20	between	between	ADP
ajst-13420	104	21	bounding	bound	VERB
ajst-13420	104	22	boxes	box	NOUN
ajst-13420	104	23	.	.	PUNCT
ajst-13420	105	1	its	its	PRON
ajst-13420	105	2	calculation	calculation	NOUN
ajst-13420	105	3	formula	formula	NOUN
ajst-13420	105	4	is	be	AUX
ajst-13420	105	5	as	as	SCONJ
ajst-13420	105	6	follows	follow	VERB
ajst-13420	105	7	:	:	PUNCT
ajst-13420	105	8	2	2	NUM
ajst-13420	105	9	2	2	NUM
ajst-13420	105	10	(	(	PUNCT
ajst-13420	105	11	,	,	PUNCT
ajst-13420	105	12	)	)	PUNCT
ajst-13420	105	13	l	l	NOUN
ajst-13420	105	14	1	1	NUM
ajst-13420	105	15	gt	gt	PROPN
ajst-13420	105	16	ciou	ciou	NOUN
ajst-13420	105	17	p	p	PROPN
ajst-13420	105	18	b	b	PROPN
ajst-13420	105	19	b	b	PROPN
ajst-13420	105	20	iou	iou	PROPN
ajst-13420	105	21	c	c	PROPN
ajst-13420	105	22			ADP
ajst-13420	105	23			PROPN
ajst-13420	105	24			PUNCT
ajst-13420	105	25			X
ajst-13420	105	26	(	(	PUNCT
ajst-13420	105	27	1	1	X
ajst-13420	105	28	)	)	PUNCT
ajst-13420	105	29	in	in	ADP
ajst-13420	105	30	the	the	DET
ajst-13420	105	31	formula	formula	NOUN
ajst-13420	105	32	:	:	PUNCT
ajst-13420	105	33	iou	iou	NOUN
ajst-13420	105	34	is	be	AUX
ajst-13420	105	35	the	the	DET
ajst-13420	105	36	traditional	traditional	ADJ
ajst-13420	105	37	intersection	intersection	NOUN
ajst-13420	105	38	and	and	CCONJ
ajst-13420	105	39	union	union	NOUN
ajst-13420	105	40	ratio	ratio	NOUN
ajst-13420	105	41	,	,	PUNCT
ajst-13420	105	42	p2	p2	PROPN
ajst-13420	105	43	is	be	AUX
ajst-13420	105	44	the	the	DET
ajst-13420	105	45	square	square	NOUN
ajst-13420	105	46	of	of	ADP
ajst-13420	105	47	the	the	DET
ajst-13420	105	48	euclidean	euclidean	ADJ
ajst-13420	105	49	distance	distance	NOUN
ajst-13420	105	50	between	between	ADP
ajst-13420	105	51	the	the	DET
ajst-13420	105	52	predicted	predict	VERB
ajst-13420	105	53	bounding	bounding	NOUN
ajst-13420	105	54	box	box	NOUN
ajst-13420	105	55	and	and	CCONJ
ajst-13420	105	56	the	the	DET
ajst-13420	105	57	center	center	ADJ
ajst-13420	105	58	point	point	NOUN
ajst-13420	105	59	of	of	ADP
ajst-13420	105	60	the	the	DET
ajst-13420	105	61	true	true	ADJ
ajst-13420	105	62	bounding	bounding	NOUN
ajst-13420	105	63	box	box	NOUN
ajst-13420	105	64	,	,	PUNCT
ajst-13420	105	65	c2	c2	PROPN
ajst-13420	105	66	is	be	AUX
ajst-13420	105	67	a	a	DET
ajst-13420	105	68	factor	factor	NOUN
ajst-13420	105	69	used	use	VERB
ajst-13420	105	70	to	to	PART
ajst-13420	105	71	normalize	normalize	VERB
ajst-13420	105	72	the	the	DET
ajst-13420	105	73	center	center	NOUN
ajst-13420	105	74	point	point	NOUN
ajst-13420	105	75	distance	distance	NOUN
ajst-13420	105	76	,	,	PUNCT
ajst-13420	105	77	equal	equal	ADJ
ajst-13420	105	78	to	to	ADP
ajst-13420	105	79	the	the	DET
ajst-13420	105	80	diagonal	diagonal	NOUN
ajst-13420	105	81	of	of	ADP
ajst-13420	105	82	the	the	DET
ajst-13420	105	83	true	true	ADJ
ajst-13420	105	84	bounding	bounding	NOUN
ajst-13420	105	85	box	box	NOUN
ajst-13420	105	86	squared	square	VERB
ajst-13420	105	87	,	,	PUNCT
ajst-13420	105	88	α	α	PROPN
ajst-13420	105	89	is	be	AUX
ajst-13420	105	90	a	a	DET
ajst-13420	105	91	weight	weight	NOUN
ajst-13420	105	92	parameter	parameter	NOUN
ajst-13420	105	93	used	use	VERB
ajst-13420	105	94	to	to	PART
ajst-13420	105	95	balance	balance	VERB
ajst-13420	105	96	the	the	DET
ajst-13420	105	97	influence	influence	NOUN
ajst-13420	105	98	of	of	ADP
ajst-13420	105	99	center	center	NOUN
ajst-13420	105	100	point	point	NOUN
ajst-13420	105	101	distance	distance	NOUN
ajst-13420	105	102	,	,	PUNCT
ajst-13420	105	103	and	and	CCONJ
ajst-13420	105	104			PROPN
ajst-13420	105	105	is	be	AUX
ajst-13420	105	106	a	a	DET
ajst-13420	105	107	term	term	NOUN
ajst-13420	105	108	measuring	measure	VERB
ajst-13420	105	109	the	the	DET
ajst-13420	105	110	difference	difference	NOUN
ajst-13420	105	111	between	between	ADP
ajst-13420	105	112	the	the	DET
ajst-13420	105	113	width	width	NOUN
ajst-13420	105	114	and	and	CCONJ
ajst-13420	105	115	height	height	NOUN
ajst-13420	105	116	of	of	ADP
ajst-13420	105	117	the	the	DET
ajst-13420	105	118	true	true	ADJ
ajst-13420	105	119	and	and	CCONJ
ajst-13420	105	120	predicted	predict	VERB
ajst-13420	105	121	bounding	bounding	NOUN
ajst-13420	105	122	boxes	box	NOUN
ajst-13420	105	123	.	.	PUNCT
ajst-13420	106	1	although	although	SCONJ
ajst-13420	106	2	ciou	ciou	NOUN
ajst-13420	106	3	shows	show	VERB
ajst-13420	106	4	improvement	improvement	NOUN
ajst-13420	106	5	in	in	ADP
ajst-13420	106	6	small	small	ADJ
ajst-13420	106	7	target	target	NOUN
ajst-13420	106	8	detection	detection	NOUN
ajst-13420	106	9	,	,	PUNCT
ajst-13420	106	10	there	there	PRON
ajst-13420	106	11	is	be	VERB
ajst-13420	106	12	still	still	ADV
ajst-13420	106	13	a	a	DET
ajst-13420	106	14	certain	certain	ADJ
ajst-13420	106	15	instability	instability	NOUN
ajst-13420	106	16	for	for	ADP
ajst-13420	106	17	targets	target	NOUN
ajst-13420	106	18	with	with	ADP
ajst-13420	106	19	extremely	extremely	ADV
ajst-13420	106	20	small	small	ADJ
ajst-13420	106	21	or	or	CCONJ
ajst-13420	106	22	extreme	extreme	ADJ
ajst-13420	106	23	aspect	aspect	NOUN
ajst-13420	106	24	ratios	ratio	NOUN
ajst-13420	106	25	.	.	PUNCT
ajst-13420	107	1	wiou	wiou	NOUN
ajst-13420	107	2	uses	use	VERB
ajst-13420	107	3	a	a	DET
ajst-13420	107	4	dynamic	dynamic	ADJ
ajst-13420	107	5	non	non	ADJ
ajst-13420	107	6	-	-	ADJ
ajst-13420	107	7	monotonic	monotonic	ADJ
ajst-13420	107	8	focusing	focus	VERB
ajst-13420	107	9	mechanism	mechanism	NOUN
ajst-13420	107	10	to	to	PART
ajst-13420	107	11	evaluate	evaluate	VERB
ajst-13420	107	12	the	the	DET
ajst-13420	107	13	quality	quality	NOUN
ajst-13420	107	14	of	of	ADP
ajst-13420	107	15	the	the	DET
ajst-13420	107	16	anchor	anchor	NOUN
ajst-13420	107	17	box	box	NOUN
ajst-13420	107	18	and	and	CCONJ
ajst-13420	107	19	provides	provide	VERB
ajst-13420	107	20	an	an	DET
ajst-13420	107	21	allocation	allocation	NOUN
ajst-13420	107	22	strategy	strategy	NOUN
ajst-13420	107	23	for	for	ADP
ajst-13420	107	24	the	the	DET
ajst-13420	107	25	gradient	gradient	ADJ
ajst-13420	107	26	gain	gain	NOUN
ajst-13420	107	27	of	of	ADP
ajst-13420	107	28	the	the	DET
ajst-13420	107	29	bounding	bounding	NOUN
ajst-13420	107	30	box	box	NOUN
ajst-13420	107	31	to	to	PART
ajst-13420	107	32	enhance	enhance	VERB
ajst-13420	107	33	the	the	DET
ajst-13420	107	34	target	target	NOUN
ajst-13420	107	35	positioning	positioning	NOUN
ajst-13420	107	36	capability	capability	NOUN
ajst-13420	107	37	of	of	ADP
ajst-13420	107	38	the	the	DET
ajst-13420	107	39	algorithm	algorithm	NOUN
ajst-13420	107	40	.	.	PUNCT
ajst-13420	108	1	wiou	wiou	NOUN
ajst-13420	108	2	constructs	construct	VERB
ajst-13420	108	3	a	a	DET
ajst-13420	108	4	two	two	NUM
ajst-13420	108	5	-	-	PUNCT
ajst-13420	108	6	layer	layer	NOUN
ajst-13420	108	7	attention	attention	NOUN
ajst-13420	108	8	mechanism	mechanism	NOUN
ajst-13420	108	9	to	to	PART
ajst-13420	108	10	enable	enable	VERB
ajst-13420	108	11	the	the	DET
ajst-13420	108	12	model	model	NOUN
ajst-13420	108	13	to	to	PART
ajst-13420	108	14	perform	perform	VERB
ajst-13420	108	15	better	well	ADJ
ajst-13420	108	16	generalization	generalization	NOUN
ajst-13420	108	17	.	.	PUNCT
ajst-13420	109	1	wiouv1	wiouv1	PROPN
ajst-13420	109	2	is	be	AUX
ajst-13420	109	3	defined	define	VERB
ajst-13420	109	4	as	as	SCONJ
ajst-13420	109	5	follows	follow	VERB
ajst-13420	109	6	:	:	PUNCT
ajst-13420	109	7	1wiouv	1wiouv	NUM
ajst-13420	109	8	wiou	wiou	NOUN
ajst-13420	109	9	ioul	ioul	ADP
ajst-13420	109	10	r	r	NOUN
ajst-13420	109	11	l	l	NOUN
ajst-13420	109	12	(	(	PUNCT
ajst-13420	109	13	2	2	NUM
ajst-13420	109	14	)	)	PUNCT
ajst-13420	109	15	conv	conv	PROPN
ajst-13420	109	16	conv	conv	PROPN
ajst-13420	109	17	conv	conv	PROPN
ajst-13420	109	18	upsample	upsample	PROPN
ajst-13420	109	19	fusion	fusion	PROPN
ajst-13420	109	20	c2f	c2f	NOUN
ajst-13420	109	21	upsample	upsample	PROPN
ajst-13420	109	22	fusion	fusion	PROPN
ajst-13420	109	23	c2f	c2f	PROPN
ajst-13420	109	24	conv	conv	NOUN
ajst-13420	109	25	fusion	fusion	PROPN
ajst-13420	109	26	c2f	c2f	PROPN
ajst-13420	109	27	conv	conv	PROPN
ajst-13420	109	28	c2f	c2f	PROPN
ajst-13420	109	29	conv	conv	PROPN
ajst-13420	109	30	fusion	fusion	PROPN
ajst-13420	109	31	c2f	c2f	NOUN
ajst-13420	109	32	detect	detect	NOUN
ajst-13420	109	33	detect	detect	NOUN
ajst-13420	109	34	detect	detect	NOUN
ajst-13420	109	35	p2‐32	p2‐32	PRON
ajst-13420	109	36	p3‐16	p3‐16	PROPN
ajst-13420	109	37	p4‐8	p4‐8	DET
ajst-13420	109	38	p5‐4	p5‐4	NOUN
ajst-13420	109	39	fusion	fusion	NOUN
ajst-13420	109	40	301	301	NUM
ajst-13420	109	41	in	in	ADP
ajst-13420	109	42	the	the	DET
ajst-13420	109	43	formula	formula	NOUN
ajst-13420	109	44	:	:	PUNCT
ajst-13420	109	45	2	2	NUM
ajst-13420	109	46	2	2	NUM
ajst-13420	109	47	2	2	NUM
ajst-13420	109	48	2	2	NUM
ajst-13420	109	49	*	*	PUNCT
ajst-13420	109	50	(	(	PUNCT
ajst-13420	109	51	)	)	PUNCT
ajst-13420	109	52	(	(	PUNCT
ajst-13420	109	53	)	)	PUNCT
ajst-13420	109	54	exp	exp	NOUN
ajst-13420	109	55	(	(	PUNCT
ajst-13420	109	56	)	)	PUNCT
ajst-13420	109	57	(	(	PUNCT
ajst-13420	109	58	)	)	PUNCT
ajst-13420	109	59	gt	gt	PROPN
ajst-13420	109	60	gt	gt	PROPN
ajst-13420	109	61	wiou	wiou	NOUN
ajst-13420	109	62	g	g	PROPN
ajst-13420	109	63	g	g	NOUN
ajst-13420	109	64	x	x	PUNCT
ajst-13420	109	65	x	x	VERB
ajst-13420	109	66	y	y	NOUN
ajst-13420	109	67	y	y	NOUN
ajst-13420	109	68	r	r	PROPN
ajst-13420	109	69	w	w	PROPN
ajst-13420	109	70	h	h	PROPN
ajst-13420	109	71			PROPN
ajst-13420	109	72			VERB
ajst-13420	109	73			PROPN
ajst-13420	109	74			PRON
ajst-13420	109	75			PUNCT
ajst-13420	109	76	(	(	PUNCT
ajst-13420	109	77	3	3	NUM
ajst-13420	109	78	)	)	PUNCT
ajst-13420	109	79	1ioul	1ioul	NUM
ajst-13420	110	1	iou	iou	DET
ajst-13420	110	2			NOUN
ajst-13420	110	3	(	(	PUNCT
ajst-13420	110	4	4	4	NUM
ajst-13420	110	5	)	)	PUNCT
ajst-13420	110	6	among	among	ADP
ajst-13420	110	7	them	they	PRON
ajst-13420	110	8	,	,	PUNCT
ajst-13420	110	9	𝑊	𝑊	PROPN
ajst-13420	110	10	and	and	CCONJ
ajst-13420	110	11	𝐻	𝐻	PROPN
ajst-13420	110	12	represent	represent	VERB
ajst-13420	110	13	the	the	DET
ajst-13420	110	14	width	width	NOUN
ajst-13420	110	15	and	and	CCONJ
ajst-13420	110	16	height	height	NOUN
ajst-13420	110	17	of	of	ADP
ajst-13420	110	18	the	the	DET
ajst-13420	110	19	minimum	minimum	ADJ
ajst-13420	110	20	anchor	anchor	NOUN
ajst-13420	110	21	box	box	NOUN
ajst-13420	110	22	,	,	PUNCT
ajst-13420	110	23	which	which	PRON
ajst-13420	110	24	are	be	AUX
ajst-13420	110	25	used	use	VERB
ajst-13420	110	26	to	to	PART
ajst-13420	110	27	generate	generate	VERB
ajst-13420	110	28	gradients	gradient	NOUN
ajst-13420	110	29	that	that	PRON
ajst-13420	110	30	hinder	hinder	VERB
ajst-13420	110	31	convergence	convergence	NOUN
ajst-13420	110	32	.	.	PUNCT
ajst-13420	111	1	wiouv3	wiouv3	NOUN
ajst-13420	111	2	introduces	introduce	VERB
ajst-13420	111	3	the	the	DET
ajst-13420	111	4	dynamic	dynamic	ADJ
ajst-13420	111	5	non	non	ADJ
ajst-13420	111	6	-	-	ADJ
ajst-13420	111	7	monotone	monotone	ADJ
ajst-13420	111	8	focusing	focus	VERB
ajst-13420	111	9	coefficient	coefficient	NOUN
ajst-13420	111	10	r	r	NOUN
ajst-13420	111	11	on	on	ADP
ajst-13420	111	12	the	the	DET
ajst-13420	111	13	basis	basis	NOUN
ajst-13420	111	14	of	of	ADP
ajst-13420	111	15	wiouv1	wiouv1	PROPN
ajst-13420	111	16	.	.	PUNCT
ajst-13420	112	1	its	its	PRON
ajst-13420	112	2	formula	formula	NOUN
ajst-13420	112	3	is	be	AUX
ajst-13420	112	4	defined	define	VERB
ajst-13420	112	5	as	as	SCONJ
ajst-13420	112	6	follows	follow	VERB
ajst-13420	112	7	:	:	PUNCT
ajst-13420	113	1	3	3	NUM
ajst-13420	113	2	1wiouv	1wiouv	NUM
ajst-13420	113	3	wiouvl	wiouvl	ADV
ajst-13420	113	4	rl	rl	ADJ
ajst-13420	113	5	(	(	PUNCT
ajst-13420	113	6	5	5	X
ajst-13420	113	7	)	)	PUNCT
ajst-13420	113	8	r	r	NOUN
ajst-13420	113	9			PROPN
ajst-13420	113	10			NUM
ajst-13420	113	11			PROPN
ajst-13420	113	12			PROPN
ajst-13420	113	13			PROPN
ajst-13420	113	14	(	(	PUNCT
ajst-13420	113	15	6	6	NUM
ajst-13420	113	16	)	)	PUNCT
ajst-13420	113	17	*	*	PUNCT
ajst-13420	114	1	[	[	X
ajst-13420	114	2	0	0	NUM
ajst-13420	114	3	,	,	PUNCT
ajst-13420	114	4	)	)	PUNCT
ajst-13420	114	5	iou	iou	PROPN
ajst-13420	114	6	iou	iou	PROPN
ajst-13420	114	7	l	l	PROPN
ajst-13420	114	8	l	l	PROPN
ajst-13420	114	9			PROPN
ajst-13420	114	10			PROPN
ajst-13420	114	11			NOUN
ajst-13420	114	12			ADV
ajst-13420	114	13	(	(	PUNCT
ajst-13420	114	14	7	7	NUM
ajst-13420	114	15	)	)	PUNCT
ajst-13420	114	16	in	in	ADP
ajst-13420	114	17	the	the	DET
ajst-13420	114	18	formula	formula	NOUN
ajst-13420	114	19	:	:	PUNCT
ajst-13420	114	20	𝐿∗	𝐿∗	PROPN
ajst-13420	114	21	represents	represent	VERB
ajst-13420	114	22	the	the	DET
ajst-13420	114	23	separation	separation	NOUN
ajst-13420	114	24	of	of	ADP
ajst-13420	114	25	𝐿	𝐿	PROPN
ajst-13420	114	26	from	from	ADP
ajst-13420	114	27	the	the	DET
ajst-13420	114	28	calculation	calculation	NOUN
ajst-13420	114	29	graph	graph	NOUN
ajst-13420	114	30	,	,	PUNCT
ajst-13420	114	31	𝐿	𝐿	PROPN
ajst-13420	114	32	is	be	AUX
ajst-13420	114	33	the	the	DET
ajst-13420	114	34	running	run	VERB
ajst-13420	114	35	average	average	NOUN
ajst-13420	114	36	of	of	ADP
ajst-13420	114	37	the	the	DET
ajst-13420	114	38	momentum	momentum	NOUN
ajst-13420	114	39	m	m	NOUN
ajst-13420	114	40	,	,	PUNCT
ajst-13420	114	41	𝛽	𝛽	NOUN
ajst-13420	114	42	is	be	AUX
ajst-13420	114	43	the	the	DET
ajst-13420	114	44	outlier	outlier	NOUN
ajst-13420	114	45	,	,	PUNCT
ajst-13420	114	46	𝛼	𝛼	X
ajst-13420	114	47	and	and	CCONJ
ajst-13420	114	48	𝛿	𝛿	PROPN
ajst-13420	114	49	are	be	AUX
ajst-13420	114	50	the	the	DET
ajst-13420	114	51	hyperparameters	hyperparameter	NOUN
ajst-13420	114	52	that	that	PRON
ajst-13420	114	53	control	control	VERB
ajst-13420	114	54	the	the	DET
ajst-13420	114	55	gradient	gradient	NOUN
ajst-13420	114	56	gain	gain	VERB
ajst-13420	114	57	r.	r.	PROPN
ajst-13420	114	58	3	3	NUM
ajst-13420	114	59	.	.	PUNCT
ajst-13420	115	1	experimental	experimental	ADJ
ajst-13420	115	2	results	result	NOUN
ajst-13420	115	3	and	and	CCONJ
ajst-13420	115	4	analysis	analysis	NOUN
ajst-13420	115	5	3.1	3.1	NUM
ajst-13420	115	6	.	.	PUNCT
ajst-13420	115	7	dataset	dataset	NOUN
ajst-13420	115	8	introduction	introduction	NOUN
ajst-13420	115	9	the	the	DET
ajst-13420	115	10	pcb	pcb	NOUN
ajst-13420	115	11	defect	defect	NOUN
ajst-13420	115	12	data	datum	NOUN
ajst-13420	115	13	set	set	VERB
ajst-13420	115	14	used	use	VERB
ajst-13420	115	15	in	in	ADP
ajst-13420	115	16	this	this	DET
ajst-13420	115	17	paper	paper	NOUN
ajst-13420	115	18	is	be	AUX
ajst-13420	115	19	from	from	ADP
ajst-13420	115	20	the	the	DET
ajst-13420	115	21	open	open	ADJ
ajst-13420	115	22	laboratory	laboratory	NOUN
ajst-13420	115	23	of	of	ADP
ajst-13420	115	24	intelligent	intelligent	ADJ
ajst-13420	115	25	robotics	robotic	NOUN
ajst-13420	115	26	of	of	ADP
ajst-13420	115	27	peking	peking	PROPN
ajst-13420	115	28	university	university	NOUN
ajst-13420	115	29	.	.	PUNCT
ajst-13420	116	1	there	there	PRON
ajst-13420	116	2	are	be	VERB
ajst-13420	116	3	693	693	NUM
ajst-13420	116	4	images	image	NOUN
ajst-13420	116	5	and	and	CCONJ
ajst-13420	116	6	6	6	NUM
ajst-13420	116	7	defect	defect	NOUN
ajst-13420	116	8	types	type	NOUN
ajst-13420	116	9	,	,	PUNCT
ajst-13420	116	10	including	include	VERB
ajst-13420	116	11	missing	miss	VERB
ajst-13420	116	12	hole	hole	NOUN
ajst-13420	116	13	,	,	PUNCT
ajst-13420	116	14	mouse	mouse	NOUN
ajst-13420	116	15	bite	bite	NOUN
ajst-13420	116	16	,	,	PUNCT
ajst-13420	116	17	open	open	ADJ
ajst-13420	116	18	circuit	circuit	NOUN
ajst-13420	116	19	,	,	PUNCT
ajst-13420	116	20	short	short	ADJ
ajst-13420	116	21	,	,	PUNCT
ajst-13420	116	22	spur	spur	NOUN
ajst-13420	116	23	,	,	PUNCT
ajst-13420	116	24	and	and	CCONJ
ajst-13420	116	25	spurious	spurious	ADJ
ajst-13420	116	26	copper	copper	NOUN
ajst-13420	116	27	.	.	PUNCT
ajst-13420	117	1	the	the	DET
ajst-13420	117	2	dataset	dataset	NOUN
ajst-13420	117	3	was	be	AUX
ajst-13420	117	4	divided	divide	VERB
ajst-13420	117	5	into	into	ADP
ajst-13420	117	6	a	a	DET
ajst-13420	117	7	training	training	NOUN
ajst-13420	117	8	set	set	NOUN
ajst-13420	117	9	and	and	CCONJ
ajst-13420	117	10	a	a	DET
ajst-13420	117	11	validation	validation	NOUN
ajst-13420	117	12	set	set	NOUN
ajst-13420	117	13	according	accord	VERB
ajst-13420	117	14	to	to	ADP
ajst-13420	117	15	the	the	DET
ajst-13420	117	16	ratio	ratio	NOUN
ajst-13420	117	17	of	of	ADP
ajst-13420	117	18	8:2	8:2	NUM
ajst-13420	117	19	,	,	PUNCT
ajst-13420	117	20	and	and	CCONJ
ajst-13420	117	21	the	the	DET
ajst-13420	117	22	training	training	NOUN
ajst-13420	117	23	was	be	AUX
ajst-13420	117	24	carried	carry	VERB
ajst-13420	117	25	out	out	ADP
ajst-13420	117	26	by	by	ADP
ajst-13420	117	27	online	online	ADJ
ajst-13420	117	28	data	datum	NOUN
ajst-13420	117	29	augmentation	augmentation	NOUN
ajst-13420	117	30	.	.	PUNCT
ajst-13420	118	1	figure	figure	NOUN
ajst-13420	118	2	5	5	NUM
ajst-13420	118	3	shows	show	VERB
ajst-13420	118	4	the	the	DET
ajst-13420	118	5	magnified	magnify	VERB
ajst-13420	118	6	images	image	NOUN
ajst-13420	118	7	of	of	ADP
ajst-13420	118	8	various	various	ADJ
ajst-13420	118	9	defects	defect	NOUN
ajst-13420	118	10	,	,	PUNCT
ajst-13420	118	11	and	and	CCONJ
ajst-13420	118	12	each	each	DET
ajst-13420	118	13	image	image	NOUN
ajst-13420	118	14	contains	contain	VERB
ajst-13420	118	15	3	3	NUM
ajst-13420	118	16	to	to	ADP
ajst-13420	118	17	5	5	NUM
ajst-13420	118	18	such	such	ADJ
ajst-13420	118	19	target	target	NOUN
ajst-13420	118	20	defects	defect	NOUN
ajst-13420	118	21	.	.	PUNCT
ajst-13420	119	1	figure	figure	NOUN
ajst-13420	119	2	5	5	NUM
ajst-13420	119	3	.	.	PUNCT
ajst-13420	119	4	pcb	pcb	NOUN
ajst-13420	119	5	defect	defect	VERB
ajst-13420	119	6	example	example	NOUN
ajst-13420	119	7	diagram	diagram	PROPN
ajst-13420	119	8	3.2	3.2	NUM
ajst-13420	119	9	.	.	PUNCT
ajst-13420	120	1	experimental	experimental	ADJ
ajst-13420	120	2	environment	environment	NOUN
ajst-13420	120	3	configuration	configuration	NOUN
ajst-13420	120	4	the	the	DET
ajst-13420	120	5	experimental	experimental	ADJ
ajst-13420	120	6	hardware	hardware	NOUN
ajst-13420	120	7	environment	environment	NOUN
ajst-13420	120	8	configuration	configuration	NOUN
ajst-13420	120	9	of	of	ADP
ajst-13420	120	10	this	this	DET
ajst-13420	120	11	article	article	NOUN
ajst-13420	120	12	is	be	AUX
ajst-13420	120	13	nvidia	nvidia	PROPN
ajst-13420	120	14	geforce	geforce	NOUN
ajst-13420	120	15	rtx	rtx	PROPN
ajst-13420	120	16	3080	3080	NUM
ajst-13420	120	17	,	,	PUNCT
ajst-13420	120	18	12	12	NUM
ajst-13420	120	19	g	g	PROPN
ajst-13420	120	20	video	video	NOUN
ajst-13420	120	21	memory	memory	NOUN
ajst-13420	120	22	,	,	PUNCT
ajst-13420	120	23	and	and	CCONJ
ajst-13420	120	24	the	the	DET
ajst-13420	120	25	compilation	compilation	NOUN
ajst-13420	120	26	environment	environment	NOUN
ajst-13420	120	27	is	be	AUX
ajst-13420	120	28	python3.8.16+torch2.0.0+cuda11.8	python3.8.16+torch2.0.0+cuda11.8	NOUN
ajst-13420	120	29	.	.	PUNCT
ajst-13420	120	30	training	training	NOUN
ajst-13420	120	31	is	be	AUX
ajst-13420	120	32	performed	perform	VERB
ajst-13420	120	33	in	in	ADP
ajst-13420	120	34	the	the	DET
ajst-13420	120	35	pytorch	pytorch	NOUN
ajst-13420	120	36	network	network	NOUN
ajst-13420	120	37	framework	framework	NOUN
ajst-13420	120	38	.	.	PUNCT
ajst-13420	121	1	the	the	DET
ajst-13420	121	2	optimizer	optimizer	NOUN
ajst-13420	121	3	uses	use	VERB
ajst-13420	121	4	sgd	sgd	PROPN
ajst-13420	121	5	.	.	PUNCT
ajst-13420	122	1	the	the	DET
ajst-13420	122	2	hyperparameters	hyperparameter	NOUN
ajst-13420	122	3	are	be	AUX
ajst-13420	122	4	set	set	VERB
ajst-13420	122	5	to	to	ADP
ajst-13420	122	6	a	a	DET
ajst-13420	122	7	batch	batch	NOUN
ajst-13420	122	8	size	size	NOUN
ajst-13420	122	9	of	of	ADP
ajst-13420	122	10	32	32	NUM
ajst-13420	122	11	,	,	PUNCT
ajst-13420	122	12	a	a	DET
ajst-13420	122	13	training	training	NOUN
ajst-13420	122	14	period	period	NOUN
ajst-13420	122	15	of	of	ADP
ajst-13420	122	16	200	200	NUM
ajst-13420	122	17	,	,	PUNCT
ajst-13420	122	18	an	an	DET
ajst-13420	122	19	initial	initial	ADJ
ajst-13420	122	20	learning	learning	NOUN
ajst-13420	122	21	rate	rate	NOUN
ajst-13420	122	22	of	of	ADP
ajst-13420	122	23	0.01	0.01	NUM
ajst-13420	122	24	,	,	PUNCT
ajst-13420	122	25	and	and	CCONJ
ajst-13420	122	26	no	no	DET
ajst-13420	122	27	pretraining	pretraine	VERB
ajst-13420	122	28	weights	weight	NOUN
ajst-13420	122	29	are	be	AUX
ajst-13420	122	30	added	add	VERB
ajst-13420	122	31	during	during	ADP
ajst-13420	122	32	the	the	DET
ajst-13420	122	33	training	training	NOUN
ajst-13420	122	34	process	process	NOUN
ajst-13420	122	35	.	.	PUNCT
ajst-13420	123	1	3.3	3.3	NUM
ajst-13420	123	2	.	.	PUNCT
ajst-13420	123	3	evaluation	evaluation	NOUN
ajst-13420	123	4	index	index	NOUN
ajst-13420	123	5	the	the	DET
ajst-13420	123	6	evaluation	evaluation	NOUN
ajst-13420	123	7	indicators	indicator	NOUN
ajst-13420	123	8	used	use	VERB
ajst-13420	123	9	in	in	ADP
ajst-13420	123	10	this	this	DET
ajst-13420	123	11	article	article	NOUN
ajst-13420	123	12	include	include	VERB
ajst-13420	123	13	precision	precision	NOUN
ajst-13420	123	14	p	p	NOUN
ajst-13420	123	15	,	,	PUNCT
ajst-13420	123	16	recall	recall	NOUN
ajst-13420	123	17	r	r	NOUN
ajst-13420	123	18	,	,	PUNCT
ajst-13420	123	19	f1	f1	NOUN
ajst-13420	123	20	factor	factor	NOUN
ajst-13420	123	21	,	,	PUNCT
ajst-13420	123	22	average	average	ADJ
ajst-13420	123	23	precision	precision	NOUN
ajst-13420	123	24	map	map	NOUN
ajst-13420	123	25	,	,	PUNCT
ajst-13420	123	26	parameter	parameter	NOUN
ajst-13420	123	27	amount	amount	NOUN
ajst-13420	123	28	params	param	NOUN
ajst-13420	123	29	,	,	PUNCT
ajst-13420	123	30	giga	giga	ADJ
ajst-13420	123	31	floating	float	VERB
ajst-13420	123	32	point	point	NOUN
ajst-13420	123	33	budget	budget	NOUN
ajst-13420	123	34	gflops	gflop	NOUN
ajst-13420	123	35	per	per	ADP
ajst-13420	123	36	second	second	ADJ
ajst-13420	123	37	,	,	PUNCT
ajst-13420	123	38	and	and	CCONJ
ajst-13420	123	39	model	model	NOUN
ajst-13420	123	40	weight	weight	NOUN
ajst-13420	123	41	weights	weight	NOUN
ajst-13420	123	42	.	.	PUNCT
ajst-13420	124	1	the	the	DET
ajst-13420	124	2	relevant	relevant	ADJ
ajst-13420	124	3	formulas	formula	NOUN
ajst-13420	124	4	are	be	AUX
ajst-13420	124	5	as	as	SCONJ
ajst-13420	124	6	follows	follow	VERB
ajst-13420	124	7	:	:	PUNCT
ajst-13420	124	8	(	(	PUNCT
ajst-13420	124	9	)	)	PUNCT
ajst-13420	125	1	tp	tp	ADP
ajst-13420	125	2	p	p	PROPN
ajst-13420	125	3	tp	tp	ADP
ajst-13420	125	4	fp	fp	PROPN
ajst-13420	125	5			PROPN
ajst-13420	125	6			PROPN
ajst-13420	125	7	(	(	PUNCT
ajst-13420	125	8	8)	8)	NUM
ajst-13420	125	9	tp	tp	ADP
ajst-13420	125	10	r	r	NOUN
ajst-13420	125	11	tp	tp	NOUN
ajst-13420	125	12	fn	fn	PROPN
ajst-13420	126	1			PROPN
ajst-13420	126	2			PUNCT
ajst-13420	126	3	(	(	PUNCT
ajst-13420	126	4	9	9	NUM
ajst-13420	126	5	)	)	SYM
ajst-13420	126	6	2	2	NUM
ajst-13420	126	7	(	(	PUNCT
ajst-13420	126	8	)	)	PUNCT
ajst-13420	126	9	1	1	NUM
ajst-13420	126	10	(	(	PUNCT
ajst-13420	126	11	)	)	PUNCT
ajst-13420	126	12	p	p	NOUN
ajst-13420	126	13	r	r	NOUN
ajst-13420	126	14	f	f	NOUN
ajst-13420	126	15	p	p	NOUN
ajst-13420	126	16	r	r	NOUN
ajst-13420	126	17			NOUN
ajst-13420	126	18			PROPN
ajst-13420	127	1			PROPN
ajst-13420	127	2			X
ajst-13420	127	3	(	(	PUNCT
ajst-13420	127	4	10	10	NUM
ajst-13420	127	5	)	)	PUNCT
ajst-13420	127	6	1	1	NUM
ajst-13420	127	7	0	0	NUM
ajst-13420	127	8	1	1	NUM
ajst-13420	127	9	1	1	NUM
ajst-13420	127	10	p(r	p(r	PROPN
ajst-13420	127	11	)	)	PUNCT
ajst-13420	127	12	(	(	PUNCT
ajst-13420	127	13	r	r	NOUN
ajst-13420	127	14	)	)	PUNCT
ajst-13420	127	15	n	n	NOUN
ajst-13420	128	1	i	i	PRON
ajst-13420	128	2	map	map	VERB
ajst-13420	128	3	d	d	VERB
ajst-13420	128	4	n	n	CCONJ
ajst-13420	129	1			NOUN
ajst-13420	129	2			NUM
ajst-13420	129	3			NOUN
ajst-13420	129	4	(	(	PUNCT
ajst-13420	129	5	11	11	NUM
ajst-13420	129	6	)	)	PUNCT
ajst-13420	129	7	in	in	ADP
ajst-13420	129	8	the	the	DET
ajst-13420	129	9	formula	formula	NOUN
ajst-13420	129	10	,	,	PUNCT
ajst-13420	129	11	tp	tp	NOUN
ajst-13420	129	12	represents	represent	VERB
ajst-13420	129	13	the	the	DET
ajst-13420	129	14	number	number	NOUN
ajst-13420	129	15	of	of	ADP
ajst-13420	129	16	true	true	ADJ
ajst-13420	129	17	examples	example	NOUN
ajst-13420	129	18	,	,	PUNCT
ajst-13420	129	19	fp	fp	X
ajst-13420	129	20	represents	represent	VERB
ajst-13420	129	21	the	the	DET
ajst-13420	129	22	number	number	NOUN
ajst-13420	129	23	of	of	ADP
ajst-13420	129	24	false	false	ADJ
ajst-13420	129	25	positive	positive	ADJ
ajst-13420	129	26	examples	example	NOUN
ajst-13420	129	27	,	,	PUNCT
ajst-13420	129	28	and	and	CCONJ
ajst-13420	129	29	fn	fn	NOUN
ajst-13420	129	30	represents	represent	VERB
ajst-13420	129	31	the	the	DET
ajst-13420	129	32	number	number	NOUN
ajst-13420	129	33	of	of	ADP
ajst-13420	129	34	false	false	ADJ
ajst-13420	129	35	negative	negative	ADJ
ajst-13420	129	36	examples	example	NOUN
ajst-13420	129	37	.	.	PUNCT
ajst-13420	130	1	among	among	ADP
ajst-13420	130	2	them	they	PRON
ajst-13420	130	3	,	,	PUNCT
ajst-13420	130	4	the	the	DET
ajst-13420	130	5	precision	precision	NOUN
ajst-13420	130	6	rate	rate	NOUN
ajst-13420	130	7	measures	measure	NOUN
ajst-13420	130	8	the	the	DET
ajst-13420	130	9	accuracy	accuracy	NOUN
ajst-13420	130	10	of	of	ADP
ajst-13420	130	11	the	the	DET
ajst-13420	130	12	model	model	NOUN
ajst-13420	130	13	in	in	ADP
ajst-13420	130	14	positive	positive	ADJ
ajst-13420	130	15	category	category	NOUN
ajst-13420	130	16	prediction	prediction	NOUN
ajst-13420	130	17	;	;	PUNCT
ajst-13420	130	18	the	the	DET
ajst-13420	130	19	recall	recall	NOUN
ajst-13420	130	20	rate	rate	NOUN
ajst-13420	130	21	measures	measure	NOUN
ajst-13420	130	22	the	the	DET
ajst-13420	130	23	model	model	NOUN
ajst-13420	130	24	's	's	PART
ajst-13420	130	25	coverage	coverage	NOUN
ajst-13420	130	26	in	in	ADP
ajst-13420	130	27	positive	positive	ADJ
ajst-13420	130	28	category	category	NOUN
ajst-13420	130	29	samples	sample	NOUN
ajst-13420	130	30	;	;	PUNCT
ajst-13420	130	31	the	the	DET
ajst-13420	130	32	f1	f1	NOUN
ajst-13420	130	33	factor	factor	NOUN
ajst-13420	130	34	is	be	AUX
ajst-13420	130	35	used	use	VERB
ajst-13420	130	36	to	to	PART
ajst-13420	130	37	measure	measure	VERB
ajst-13420	130	38	the	the	DET
ajst-13420	130	39	performance	performance	NOUN
ajst-13420	130	40	of	of	ADP
ajst-13420	130	41	the	the	DET
ajst-13420	130	42	model	model	NOUN
ajst-13420	130	43	comprehensively	comprehensively	ADV
ajst-13420	130	44	;	;	PUNCT
ajst-13420	130	45	the	the	DET
ajst-13420	130	46	average	average	ADJ
ajst-13420	130	47	accuracy	accuracy	NOUN
ajst-13420	130	48	rate	rate	NOUN
ajst-13420	130	49	calculates	calculate	VERB
ajst-13420	130	50	the	the	DET
ajst-13420	130	51	accuracy	accuracy	NOUN
ajst-13420	130	52	of	of	ADP
ajst-13420	130	53	the	the	DET
ajst-13420	130	54	model	model	NOUN
ajst-13420	130	55	in	in	ADP
ajst-13420	130	56	different	different	ADJ
ajst-13420	130	57	categories	category	NOUN
ajst-13420	130	58	.	.	PUNCT
ajst-13420	131	1	the	the	DET
ajst-13420	131	2	average	average	ADJ
ajst-13420	131	3	accuracy	accuracy	NOUN
ajst-13420	131	4	value	value	NOUN
ajst-13420	131	5	is	be	AUX
ajst-13420	131	6	then	then	ADV
ajst-13420	131	7	averaged	average	VERB
ajst-13420	131	8	;	;	PUNCT
ajst-13420	131	9	the	the	DET
ajst-13420	131	10	number	number	NOUN
ajst-13420	131	11	of	of	ADP
ajst-13420	131	12	parameters	parameter	NOUN
ajst-13420	131	13	refers	refer	VERB
ajst-13420	131	14	to	to	ADP
ajst-13420	131	15	the	the	DET
ajst-13420	131	16	number	number	NOUN
ajst-13420	131	17	of	of	ADP
ajst-13420	131	18	trainable	trainable	ADJ
ajst-13420	131	19	parameters	parameter	NOUN
ajst-13420	131	20	in	in	ADP
ajst-13420	131	21	the	the	DET
ajst-13420	131	22	model	model	NOUN
ajst-13420	131	23	.	.	PUNCT
ajst-13420	132	1	generally	generally	ADV
ajst-13420	132	2	,	,	PUNCT
ajst-13420	132	3	the	the	DET
ajst-13420	132	4	more	more	ADJ
ajst-13420	132	5	parameters	parameter	NOUN
ajst-13420	132	6	,	,	PUNCT
ajst-13420	132	7	the	the	DET
ajst-13420	132	8	more	more	ADV
ajst-13420	132	9	complex	complex	ADJ
ajst-13420	132	10	the	the	DET
ajst-13420	132	11	model	model	NOUN
ajst-13420	132	12	;	;	PUNCT
ajst-13420	132	13	gflops	gflop	NOUN
ajst-13420	132	14	represent	represent	VERB
ajst-13420	132	15	the	the	DET
ajst-13420	132	16	billions	billion	NOUN
ajst-13420	132	17	of	of	ADP
ajst-13420	132	18	floating	float	VERB
ajst-13420	132	19	point	point	NOUN
ajst-13420	132	20	operations	operation	NOUN
ajst-13420	132	21	performed	perform	VERB
ajst-13420	132	22	by	by	ADP
ajst-13420	132	23	the	the	DET
ajst-13420	132	24	model	model	NOUN
ajst-13420	132	25	per	per	ADP
ajst-13420	132	26	second	second	NOUN
ajst-13420	132	27	,	,	PUNCT
ajst-13420	132	28	and	and	CCONJ
ajst-13420	132	29	the	the	DET
ajst-13420	132	30	speed	speed	NOUN
ajst-13420	132	31	of	of	ADP
ajst-13420	132	32	the	the	DET
ajst-13420	132	33	model	model	NOUN
ajst-13420	132	34	is	be	AUX
ajst-13420	132	35	related	relate	VERB
ajst-13420	132	36	to	to	ADP
ajst-13420	132	37	performance	performance	NOUN
ajst-13420	132	38	;	;	PUNCT
ajst-13420	132	39	the	the	DET
ajst-13420	132	40	size	size	NOUN
ajst-13420	132	41	of	of	ADP
ajst-13420	132	42	the	the	DET
ajst-13420	132	43	model	model	NOUN
ajst-13420	132	44	weight	weight	NOUN
ajst-13420	132	45	is	be	AUX
ajst-13420	132	46	associated	associate	VERB
ajst-13420	132	47	with	with	ADP
ajst-13420	132	48	the	the	DET
ajst-13420	132	49	storage	storage	NOUN
ajst-13420	132	50	requirements	requirement	NOUN
ajst-13420	132	51	and	and	CCONJ
ajst-13420	132	52	deployment	deployment	NOUN
ajst-13420	132	53	costs	cost	NOUN
ajst-13420	132	54	of	of	ADP
ajst-13420	132	55	the	the	DET
ajst-13420	132	56	model	model	NOUN
ajst-13420	132	57	.	.	PUNCT
ajst-13420	133	1	the	the	DET
ajst-13420	133	2	smaller	small	ADJ
ajst-13420	133	3	the	the	DET
ajst-13420	133	4	weight	weight	NOUN
ajst-13420	133	5	,	,	PUNCT
ajst-13420	133	6	the	the	PRON
ajst-13420	133	7	more	more	ADV
ajst-13420	133	8	suitable	suitable	ADJ
ajst-13420	133	9	it	it	PRON
ajst-13420	133	10	is	be	AUX
ajst-13420	133	11	for	for	ADP
ajst-13420	133	12	facilities	facility	NOUN
ajst-13420	133	13	such	such	ADJ
ajst-13420	133	14	as	as	ADP
ajst-13420	133	15	mobile	mobile	ADJ
ajst-13420	133	16	devices	device	NOUN
ajst-13420	133	17	.	.	PUNCT
ajst-13420	134	1	3.4	3.4	NUM
ajst-13420	134	2	.	.	PUNCT
ajst-13420	134	3	result	result	VERB
ajst-13420	134	4	analysis	analysis	NOUN
ajst-13420	134	5	3.4.1	3.4.1	NUM
ajst-13420	134	6	.	.	PUNCT
ajst-13420	135	1	loss	loss	NOUN
ajst-13420	135	2	function	function	PROPN
ajst-13420	135	3	comparison	comparison	NOUN
ajst-13420	135	4	experiment	experiment	NOUN
ajst-13420	135	5	in	in	ADP
ajst-13420	135	6	order	order	NOUN
ajst-13420	135	7	to	to	PART
ajst-13420	135	8	verify	verify	VERB
ajst-13420	135	9	the	the	DET
ajst-13420	135	10	effectiveness	effectiveness	NOUN
ajst-13420	135	11	of	of	ADP
ajst-13420	135	12	replacing	replace	VERB
ajst-13420	135	13	the	the	DET
ajst-13420	135	14	ciou	ciou	NOUN
ajst-13420	135	15	loss	loss	NOUN
ajst-13420	135	16	function	function	NOUN
ajst-13420	135	17	with	with	ADP
ajst-13420	135	18	the	the	DET
ajst-13420	135	19	wiou	wiou	NOUN
ajst-13420	135	20	loss	loss	NOUN
ajst-13420	135	21	function	function	NOUN
ajst-13420	135	22	in	in	ADP
ajst-13420	135	23	the	the	DET
ajst-13420	135	24	original	original	ADJ
ajst-13420	135	25	yolov8	yolov8	NOUN
ajst-13420	135	26	model	model	NOUN
ajst-13420	135	27	,	,	PUNCT
ajst-13420	135	28	this	this	DET
ajst-13420	135	29	article	article	NOUN
ajst-13420	135	30	compares	compare	VERB
ajst-13420	135	31	some	some	DET
ajst-13420	135	32	mainstream	mainstream	NOUN
ajst-13420	135	33	loss	loss	NOUN
ajst-13420	135	34	functions	function	NOUN
ajst-13420	135	35	,	,	PUNCT
ajst-13420	135	36	such	such	ADJ
ajst-13420	135	37	as	as	ADP
ajst-13420	135	38	diou	diou	NOUN
ajst-13420	135	39	[	[	X
ajst-13420	135	40	18	18	NUM
ajst-13420	135	41	]	]	PUNCT
ajst-13420	135	42	,	,	PUNCT
ajst-13420	135	43	eiou	eiou	NOUN
ajst-13420	135	44	[	[	X
ajst-13420	135	45	19	19	NUM
ajst-13420	135	46	]	]	PUNCT
ajst-13420	135	47	,	,	PUNCT
ajst-13420	135	48	giou	giou	NOUN
ajst-13420	135	49	[	[	X
ajst-13420	135	50	20	20	NUM
ajst-13420	135	51	]	]	PUNCT
ajst-13420	135	52	,	,	PUNCT
ajst-13420	135	53	siou	siou	X
ajst-13420	135	54	[	[	X
ajst-13420	135	55	21	21	NUM
ajst-13420	135	56	]	]	PUNCT
ajst-13420	135	57	and	and	CCONJ
ajst-13420	135	58	focaliou	focaliou	ADJ
ajst-13420	136	1	[	[	X
ajst-13420	136	2	22	22	NUM
ajst-13420	136	3	]	]	PUNCT
ajst-13420	136	4	,	,	PUNCT
ajst-13420	136	5	the	the	DET
ajst-13420	136	6	results	result	NOUN
ajst-13420	136	7	are	be	AUX
ajst-13420	136	8	shown	show	VERB
ajst-13420	136	9	in	in	ADP
ajst-13420	136	10	table	table	NOUN
ajst-13420	136	11	1	1	NUM
ajst-13420	136	12	.	.	PUNCT
ajst-13420	136	13	table	table	NOUN
ajst-13420	136	14	1	1	NUM
ajst-13420	136	15	.	.	PUNCT
ajst-13420	136	16	loss	loss	NOUN
ajst-13420	136	17	function	function	PROPN
ajst-13420	136	18	comparison	comparison	NOUN
ajst-13420	136	19	experiment	experiment	NOUN
ajst-13420	136	20	loss	loss	NOUN
ajst-13420	136	21	function	function	NOUN
ajst-13420	136	22	map50(%	map50(%	NOUN
ajst-13420	136	23	)	)	PUNCT
ajst-13420	136	24	map90	map90	PROPN
ajst-13420	136	25	-	-	PUNCT
ajst-13420	136	26	95(%	95(%	PROPN
ajst-13420	136	27	)	)	PUNCT
ajst-13420	136	28	p(%	p(%	NOUN
ajst-13420	136	29	)	)	PUNCT
ajst-13420	136	30	r(%	r(%	NOUN
ajst-13420	136	31	)	)	PUNCT
ajst-13420	136	32	f1(%	f1(%	NOUN
ajst-13420	136	33	)	)	PUNCT
ajst-13420	136	34	ciou	ciou	NOUN
ajst-13420	136	35	90.8	90.8	NUM
ajst-13420	136	36	46.8	46.8	NUM
ajst-13420	136	37	91.8	91.8	NUM
ajst-13420	136	38	85.4	85.4	NUM
ajst-13420	136	39	88.0	88.0	NUM
ajst-13420	136	40	diou	diou	NOUN
ajst-13420	136	41	91.5	91.5	NUM
ajst-13420	136	42	47.3	47.3	NUM
ajst-13420	136	43	93.9	93.9	NUM
ajst-13420	136	44	86.5	86.5	NUM
ajst-13420	136	45	90.0	90.0	NUM
ajst-13420	136	46	eiou	eiou	NOUN
ajst-13420	136	47	90.7	90.7	NUM
ajst-13420	136	48	47.5	47.5	NUM
ajst-13420	136	49	92.8	92.8	NUM
ajst-13420	136	50	84.8	84.8	NUM
ajst-13420	136	51	89.0	89.0	NUM
ajst-13420	136	52	giou	giou	NOUN
ajst-13420	136	53	89.9	89.9	NUM
ajst-13420	136	54	45.8	45.8	NUM
ajst-13420	136	55	90.6	90.6	NUM
ajst-13420	136	56	85.4	85.4	NUM
ajst-13420	136	57	88.0	88.0	NUM
ajst-13420	136	58	siou	siou	NOUN
ajst-13420	136	59	90.2	90.2	NUM
ajst-13420	136	60	47.1	47.1	NUM
ajst-13420	136	61	90.6	90.6	NUM
ajst-13420	136	62	85.7	85.7	NUM
ajst-13420	136	63	88.0	88.0	NUM
ajst-13420	136	64	focaliou	focaliou	NOUN
ajst-13420	136	65	91.7	91.7	NUM
ajst-13420	136	66	46.9	46.9	NUM
ajst-13420	136	67	92.9	92.9	NUM
ajst-13420	136	68	86.7	86.7	NUM
ajst-13420	136	69	90.0	90.0	NUM
ajst-13420	136	70	wiou	wiou	NOUN
ajst-13420	136	71	93.0	93.0	NUM
ajst-13420	136	72	49.1	49.1	NUM
ajst-13420	136	73	91.4	91.4	NUM
ajst-13420	136	74	89.8	89.8	NUM
ajst-13420	136	75	91.0	91.0	NUM
ajst-13420	136	76	the	the	DET
ajst-13420	136	77	results	result	NOUN
ajst-13420	136	78	show	show	VERB
ajst-13420	136	79	that	that	SCONJ
ajst-13420	136	80	the	the	DET
ajst-13420	136	81	wiou	wiou	NOUN
ajst-13420	136	82	loss	loss	NOUN
ajst-13420	136	83	function	function	NOUN
ajst-13420	136	84	shows	show	VERB
ajst-13420	136	85	excellent	excellent	ADJ
ajst-13420	136	86	advantages	advantage	NOUN
ajst-13420	136	87	on	on	ADP
ajst-13420	136	88	multiple	multiple	ADJ
ajst-13420	136	89	key	key	ADJ
ajst-13420	136	90	performance	performance	NOUN
ajst-13420	136	91	indicators	indicator	NOUN
ajst-13420	136	92	.	.	PUNCT
ajst-13420	137	1	specifically	specifically	ADV
ajst-13420	137	2	,	,	PUNCT
ajst-13420	137	3	the	the	DET
ajst-13420	137	4	highest	high	ADJ
ajst-13420	137	5	performance	performance	NOUN
ajst-13420	137	6	is	be	AUX
ajst-13420	137	7	achieved	achieve	VERB
ajst-13420	137	8	regarding	regard	VERB
ajst-13420	137	9	map	map	NOUN
ajst-13420	137	10	,	,	PUNCT
ajst-13420	137	11	and	and	CCONJ
ajst-13420	137	12	defective	defective	ADJ
ajst-13420	137	13	targets	target	NOUN
ajst-13420	137	14	can	can	AUX
ajst-13420	137	15	be	be	AUX
ajst-13420	137	16	found	find	VERB
ajst-13420	137	17	more	more	ADV
ajst-13420	137	18	accurately	accurately	ADV
ajst-13420	137	19	.	.	PUNCT
ajst-13420	138	1	it	it	PRON
ajst-13420	138	2	302	302	NUM
ajst-13420	138	3	also	also	ADV
ajst-13420	138	4	leads	lead	VERB
ajst-13420	138	5	to	to	ADP
ajst-13420	138	6	other	other	ADJ
ajst-13420	138	7	loss	loss	NOUN
ajst-13420	138	8	functions	function	NOUN
ajst-13420	138	9	regarding	regard	VERB
ajst-13420	138	10	precision	precision	NOUN
ajst-13420	138	11	and	and	CCONJ
ajst-13420	138	12	recall	recall	NOUN
ajst-13420	138	13	,	,	PUNCT
ajst-13420	138	14	showing	show	VERB
ajst-13420	138	15	that	that	SCONJ
ajst-13420	138	16	it	it	PRON
ajst-13420	138	17	can	can	AUX
ajst-13420	138	18	better	well	ADV
ajst-13420	138	19	predict	predict	VERB
ajst-13420	138	20	true	true	ADJ
ajst-13420	138	21	examples	example	NOUN
ajst-13420	138	22	and	and	CCONJ
ajst-13420	138	23	detect	detect	VERB
ajst-13420	138	24	more	more	ADV
ajst-13420	138	25	actual	actual	ADJ
ajst-13420	138	26	positive	positive	ADJ
ajst-13420	138	27	ones	one	NOUN
ajst-13420	138	28	.	.	PUNCT
ajst-13420	139	1	the	the	DET
ajst-13420	139	2	f1	f1	ADJ
ajst-13420	139	3	factor	factor	NOUN
ajst-13420	139	4	description	description	NOUN
ajst-13420	139	5	of	of	ADP
ajst-13420	139	6	wiou	wiou	NOUN
ajst-13420	139	7	shows	show	VERB
ajst-13420	139	8	significant	significant	ADJ
ajst-13420	139	9	superiority	superiority	NOUN
ajst-13420	139	10	in	in	ADP
ajst-13420	139	11	this	this	DET
ajst-13420	139	12	paper	paper	NOUN
ajst-13420	139	13	's	's	PART
ajst-13420	139	14	pcb	pcb	NOUN
ajst-13420	139	15	defect	defect	NOUN
ajst-13420	139	16	detection	detection	NOUN
ajst-13420	139	17	task	task	NOUN
ajst-13420	139	18	.	.	PUNCT
ajst-13420	140	1	according	accord	VERB
ajst-13420	140	2	to	to	ADP
ajst-13420	140	3	the	the	DET
ajst-13420	140	4	line	line	NOUN
ajst-13420	140	5	chart	chart	NOUN
ajst-13420	140	6	in	in	ADP
ajst-13420	140	7	figure	figure	NOUN
ajst-13420	140	8	6	6	NUM
ajst-13420	140	9	,	,	PUNCT
ajst-13420	140	10	we	we	PRON
ajst-13420	140	11	can	can	AUX
ajst-13420	140	12	clearly	clearly	ADV
ajst-13420	140	13	observe	observe	VERB
ajst-13420	140	14	the	the	DET
ajst-13420	140	15	impact	impact	NOUN
ajst-13420	140	16	of	of	ADP
ajst-13420	140	17	different	different	ADJ
ajst-13420	140	18	iou	iou	NOUN
ajst-13420	140	19	calculation	calculation	NOUN
ajst-13420	140	20	methods	method	NOUN
ajst-13420	140	21	on	on	ADP
ajst-13420	140	22	the	the	DET
ajst-13420	140	23	performance	performance	NOUN
ajst-13420	140	24	of	of	ADP
ajst-13420	140	25	the	the	DET
ajst-13420	140	26	yolov8	yolov8	NOUN
ajst-13420	140	27	model	model	NOUN
ajst-13420	140	28	.	.	PUNCT
ajst-13420	141	1	in	in	ADP
ajst-13420	141	2	terms	term	NOUN
ajst-13420	141	3	of	of	ADP
ajst-13420	141	4	val	val	NOUN
ajst-13420	141	5	/	/	SYM
ajst-13420	141	6	box_loss	box_loss	NOUN
ajst-13420	141	7	,	,	PUNCT
ajst-13420	141	8	wiou	wiou	NOUN
ajst-13420	141	9	shows	show	VERB
ajst-13420	141	10	obvious	obvious	ADJ
ajst-13420	141	11	advantages	advantage	NOUN
ajst-13420	141	12	,	,	PUNCT
ajst-13420	141	13	and	and	CCONJ
ajst-13420	141	14	its	its	PRON
ajst-13420	141	15	loss	loss	NOUN
ajst-13420	141	16	value	value	NOUN
ajst-13420	141	17	is	be	AUX
ajst-13420	141	18	relatively	relatively	ADV
ajst-13420	141	19	low	low	ADJ
ajst-13420	141	20	,	,	PUNCT
ajst-13420	141	21	indicating	indicate	VERB
ajst-13420	141	22	that	that	SCONJ
ajst-13420	141	23	wiou	wiou	NOUN
ajst-13420	141	24	has	have	VERB
ajst-13420	141	25	a	a	DET
ajst-13420	141	26	better	well	ADJ
ajst-13420	141	27	effect	effect	NOUN
ajst-13420	141	28	in	in	ADP
ajst-13420	141	29	object	object	NOUN
ajst-13420	141	30	boundary	boundary	PROPN
ajst-13420	141	31	box	box	PROPN
ajst-13420	141	32	matching	matching	NOUN
ajst-13420	141	33	.	.	PUNCT
ajst-13420	142	1	figure	figure	NOUN
ajst-13420	142	2	5	5	NUM
ajst-13420	142	3	.	.	PUNCT
ajst-13420	143	1	experimental	experimental	ADJ
ajst-13420	143	2	results	result	NOUN
ajst-13420	143	3	of	of	ADP
ajst-13420	143	4	different	different	ADJ
ajst-13420	143	5	loss	loss	NOUN
ajst-13420	143	6	functions	function	NOUN
ajst-13420	143	7	3.4.2	3.4.2	NUM
ajst-13420	143	8	.	.	PUNCT
ajst-13420	144	1	ablation	ablation	NOUN
ajst-13420	144	2	experiment	experiment	NOUN
ajst-13420	144	3	in	in	ADP
ajst-13420	144	4	order	order	NOUN
ajst-13420	144	5	to	to	PART
ajst-13420	144	6	verify	verify	VERB
ajst-13420	144	7	the	the	DET
ajst-13420	144	8	effectiveness	effectiveness	NOUN
ajst-13420	144	9	of	of	ADP
ajst-13420	144	10	this	this	DET
ajst-13420	144	11	article	article	NOUN
ajst-13420	144	12	's	's	PART
ajst-13420	144	13	improvement	improvement	NOUN
ajst-13420	144	14	of	of	ADP
ajst-13420	144	15	the	the	DET
ajst-13420	144	16	yolov8	yolov8	NOUN
ajst-13420	144	17	network	network	NOUN
ajst-13420	144	18	structure	structure	NOUN
ajst-13420	144	19	,	,	PUNCT
ajst-13420	144	20	ablation	ablation	NOUN
ajst-13420	144	21	experiments	experiment	NOUN
ajst-13420	144	22	were	be	AUX
ajst-13420	144	23	conducted	conduct	VERB
ajst-13420	144	24	on	on	ADP
ajst-13420	144	25	different	different	ADJ
ajst-13420	144	26	improvement	improvement	NOUN
ajst-13420	144	27	points	point	NOUN
ajst-13420	144	28	under	under	ADP
ajst-13420	144	29	the	the	DET
ajst-13420	144	30	same	same	ADJ
ajst-13420	144	31	conditions	condition	NOUN
ajst-13420	144	32	in	in	ADP
ajst-13420	144	33	the	the	DET
ajst-13420	144	34	experimental	experimental	ADJ
ajst-13420	144	35	environment	environment	NOUN
ajst-13420	144	36	.	.	PUNCT
ajst-13420	145	1	the	the	DET
ajst-13420	145	2	results	result	NOUN
ajst-13420	145	3	are	be	AUX
ajst-13420	145	4	shown	show	VERB
ajst-13420	145	5	in	in	ADP
ajst-13420	145	6	table	table	NOUN
ajst-13420	145	7	2	2	NUM
ajst-13420	145	8	.	.	PUNCT
ajst-13420	146	1	improvement	improvement	NOUN
ajst-13420	146	2	1	1	NUM
ajst-13420	146	3	is	be	AUX
ajst-13420	146	4	the	the	DET
ajst-13420	146	5	introduction	introduction	NOUN
ajst-13420	146	6	of	of	ADP
ajst-13420	146	7	the	the	DET
ajst-13420	146	8	neck	neck	NOUN
ajst-13420	146	9	network	network	NOUN
ajst-13420	146	10	improved	improve	VERB
ajst-13420	146	11	in	in	ADP
ajst-13420	146	12	this	this	DET
ajst-13420	146	13	article	article	NOUN
ajst-13420	146	14	.	.	PUNCT
ajst-13420	147	1	the	the	DET
ajst-13420	147	2	results	result	NOUN
ajst-13420	147	3	show	show	VERB
ajst-13420	147	4	that	that	SCONJ
ajst-13420	147	5	the	the	DET
ajst-13420	147	6	accuracy	accuracy	NOUN
ajst-13420	147	7	is	be	AUX
ajst-13420	147	8	significantly	significantly	ADV
ajst-13420	147	9	improved	improve	VERB
ajst-13420	147	10	compared	compare	VERB
ajst-13420	147	11	to	to	ADP
ajst-13420	147	12	the	the	DET
ajst-13420	147	13	original	original	ADJ
ajst-13420	147	14	yolov8n	yolov8n	NOUN
ajst-13420	147	15	.	.	PUNCT
ajst-13420	148	1	at	at	ADP
ajst-13420	148	2	the	the	DET
ajst-13420	148	3	same	same	ADJ
ajst-13420	148	4	time	time	NOUN
ajst-13420	148	5	,	,	PUNCT
ajst-13420	148	6	the	the	DET
ajst-13420	148	7	number	number	NOUN
ajst-13420	148	8	of	of	ADP
ajst-13420	148	9	parameters	parameter	NOUN
ajst-13420	148	10	and	and	CCONJ
ajst-13420	148	11	gflops	gflop	NOUN
ajst-13420	148	12	of	of	ADP
ajst-13420	148	13	the	the	DET
ajst-13420	148	14	model	model	NOUN
ajst-13420	148	15	have	have	AUX
ajst-13420	148	16	decreased	decrease	VERB
ajst-13420	148	17	,	,	PUNCT
ajst-13420	148	18	and	and	CCONJ
ajst-13420	148	19	the	the	DET
ajst-13420	148	20	model	model	NOUN
ajst-13420	148	21	weight	weight	NOUN
ajst-13420	148	22	has	have	AUX
ajst-13420	148	23	also	also	ADV
ajst-13420	148	24	become	become	VERB
ajst-13420	148	25	smaller	small	ADJ
ajst-13420	148	26	.	.	PUNCT
ajst-13420	149	1	improvement	improvement	NOUN
ajst-13420	149	2	2	2	NUM
ajst-13420	149	3	,	,	PUNCT
ajst-13420	149	4	improvement	improvement	NOUN
ajst-13420	149	5	3	3	NUM
ajst-13420	149	6	and	and	CCONJ
ajst-13420	149	7	improvement	improvement	NOUN
ajst-13420	149	8	4	4	NUM
ajst-13420	149	9	add	add	VERB
ajst-13420	149	10	bifpn	bifpn	PROPN
ajst-13420	149	11	,	,	PUNCT
ajst-13420	149	12	sa	sa	NOUN
ajst-13420	149	13	attention	attention	NOUN
ajst-13420	149	14	mechanism	mechanism	NOUN
ajst-13420	149	15	and	and	CCONJ
ajst-13420	149	16	wiou	wiou	NOUN
ajst-13420	149	17	to	to	ADP
ajst-13420	149	18	the	the	DET
ajst-13420	149	19	original	original	ADJ
ajst-13420	149	20	yolov8	yolov8	NOUN
ajst-13420	149	21	network	network	NOUN
ajst-13420	149	22	respectively	respectively	ADV
ajst-13420	149	23	.	.	PUNCT
ajst-13420	150	1	it	it	PRON
ajst-13420	150	2	can	can	AUX
ajst-13420	150	3	be	be	AUX
ajst-13420	150	4	seen	see	VERB
ajst-13420	150	5	that	that	DET
ajst-13420	150	6	map	map	NOUN
ajst-13420	150	7	has	have	AUX
ajst-13420	150	8	improved	improve	VERB
ajst-13420	150	9	when	when	SCONJ
ajst-13420	150	10	the	the	DET
ajst-13420	150	11	number	number	NOUN
ajst-13420	150	12	of	of	ADP
ajst-13420	150	13	parameters	parameter	NOUN
ajst-13420	150	14	and	and	CCONJ
ajst-13420	150	15	gflops	gflop	NOUN
ajst-13420	150	16	are	be	AUX
ajst-13420	150	17	not	not	PART
ajst-13420	150	18	much	much	ADV
ajst-13420	150	19	different	different	ADJ
ajst-13420	150	20	.	.	PUNCT
ajst-13420	151	1	improvement	improvement	NOUN
ajst-13420	151	2	5	5	NUM
ajst-13420	151	3	is	be	AUX
ajst-13420	151	4	that	that	SCONJ
ajst-13420	151	5	after	after	ADP
ajst-13420	151	6	fusing	fuse	VERB
ajst-13420	151	7	the	the	DET
ajst-13420	151	8	improved	improve	VERB
ajst-13420	151	9	neck	neck	NOUN
ajst-13420	151	10	network	network	NOUN
ajst-13420	151	11	with	with	ADP
ajst-13420	151	12	bifpn	bifpn	PROPN
ajst-13420	151	13	,	,	PUNCT
ajst-13420	151	14	the	the	DET
ajst-13420	151	15	number	number	NOUN
ajst-13420	151	16	of	of	ADP
ajst-13420	151	17	parameters	parameter	NOUN
ajst-13420	151	18	,	,	PUNCT
ajst-13420	151	19	gflops	gflop	NOUN
ajst-13420	151	20	and	and	CCONJ
ajst-13420	151	21	weight	weight	NOUN
ajst-13420	151	22	file	file	NOUN
ajst-13420	151	23	size	size	NOUN
ajst-13420	151	24	of	of	ADP
ajst-13420	151	25	the	the	DET
ajst-13420	151	26	model	model	NOUN
ajst-13420	151	27	are	be	AUX
ajst-13420	151	28	lower	low	ADJ
ajst-13420	151	29	than	than	ADP
ajst-13420	151	30	those	those	PRON
ajst-13420	151	31	of	of	ADP
ajst-13420	151	32	the	the	DET
ajst-13420	151	33	original	original	ADJ
ajst-13420	151	34	yolov8n	yolov8n	NOUN
ajst-13420	151	35	,	,	PUNCT
ajst-13420	151	36	improvement	improvement	NOUN
ajst-13420	151	37	1	1	NUM
ajst-13420	151	38	and	and	CCONJ
ajst-13420	151	39	improvement	improvement	NOUN
ajst-13420	151	40	2	2	NUM
ajst-13420	151	41	.	.	PUNCT
ajst-13420	152	1	although	although	SCONJ
ajst-13420	152	2	map	map	NOUN
ajst-13420	152	3	is	be	AUX
ajst-13420	152	4	lower	low	ADJ
ajst-13420	152	5	than	than	ADP
ajst-13420	152	6	improvement	improvement	NOUN
ajst-13420	152	7	1	1	NUM
ajst-13420	152	8	,	,	PUNCT
ajst-13420	152	9	after	after	ADP
ajst-13420	152	10	adding	add	VERB
ajst-13420	152	11	the	the	DET
ajst-13420	152	12	sa	sa	PROPN
ajst-13420	152	13	attention	attention	NOUN
ajst-13420	152	14	mechanism	mechanism	NOUN
ajst-13420	152	15	through	through	ADP
ajst-13420	152	16	improvement	improvement	NOUN
ajst-13420	152	17	6	6	NUM
ajst-13420	152	18	without	without	ADP
ajst-13420	152	19	affecting	affect	VERB
ajst-13420	152	20	the	the	DET
ajst-13420	152	21	number	number	NOUN
ajst-13420	152	22	of	of	ADP
ajst-13420	152	23	parameters	parameter	NOUN
ajst-13420	152	24	,	,	PUNCT
ajst-13420	152	25	gflops	gflop	NOUN
ajst-13420	152	26	and	and	CCONJ
ajst-13420	152	27	weight	weight	NOUN
ajst-13420	152	28	file	file	NOUN
ajst-13420	152	29	size	size	NOUN
ajst-13420	152	30	of	of	ADP
ajst-13420	152	31	the	the	DET
ajst-13420	152	32	model	model	NOUN
ajst-13420	152	33	,	,	PUNCT
ajst-13420	152	34	map	map	NOUN
ajst-13420	152	35	is	be	AUX
ajst-13420	152	36	still	still	ADV
ajst-13420	152	37	higher	high	ADJ
ajst-13420	152	38	than	than	ADP
ajst-13420	152	39	the	the	DET
ajst-13420	152	40	previous	previous	ADJ
ajst-13420	152	41	experiment	experiment	NOUN
ajst-13420	152	42	.	.	PUNCT
ajst-13420	153	1	finally	finally	ADV
ajst-13420	153	2	,	,	PUNCT
ajst-13420	153	3	the	the	DET
ajst-13420	153	4	algorithm	algorithm	NOUN
ajst-13420	153	5	in	in	ADP
ajst-13420	153	6	this	this	DET
ajst-13420	153	7	article	article	NOUN
ajst-13420	153	8	integrates	integrate	VERB
ajst-13420	153	9	four	four	NUM
ajst-13420	153	10	improvement	improvement	NOUN
ajst-13420	153	11	points	point	NOUN
ajst-13420	153	12	into	into	ADP
ajst-13420	153	13	the	the	DET
ajst-13420	153	14	original	original	ADJ
ajst-13420	153	15	yolov8n	yolov8n	NOUN
ajst-13420	153	16	.	.	PUNCT
ajst-13420	154	1	it	it	PRON
ajst-13420	154	2	can	can	AUX
ajst-13420	154	3	be	be	AUX
ajst-13420	154	4	seen	see	VERB
ajst-13420	154	5	that	that	SCONJ
ajst-13420	154	6	map50	map50	PROPN
ajst-13420	154	7	has	have	AUX
ajst-13420	154	8	increased	increase	VERB
ajst-13420	154	9	by	by	ADP
ajst-13420	154	10	3.4	3.4	NUM
ajst-13420	154	11	%	%	NOUN
ajst-13420	154	12	,	,	PUNCT
ajst-13420	154	13	and	and	CCONJ
ajst-13420	154	14	the	the	DET
ajst-13420	154	15	number	number	NOUN
ajst-13420	154	16	of	of	ADP
ajst-13420	154	17	parameters	parameter	NOUN
ajst-13420	154	18	,	,	PUNCT
ajst-13420	154	19	gflops	gflop	NOUN
ajst-13420	154	20	,	,	PUNCT
ajst-13420	154	21	and	and	CCONJ
ajst-13420	154	22	weight	weight	NOUN
ajst-13420	154	23	file	file	NOUN
ajst-13420	154	24	sizes	size	NOUN
ajst-13420	154	25	have	have	AUX
ajst-13420	154	26	been	be	AUX
ajst-13420	154	27	reduced	reduce	VERB
ajst-13420	154	28	by	by	ADP
ajst-13420	154	29	33	33	NUM
ajst-13420	154	30	%	%	NOUN
ajst-13420	154	31	,	,	PUNCT
ajst-13420	154	32	12	12	NUM
ajst-13420	154	33	%	%	NOUN
ajst-13420	154	34	,	,	PUNCT
ajst-13420	154	35	and	and	CCONJ
ajst-13420	154	36	32	32	NUM
ajst-13420	154	37	%	%	NOUN
ajst-13420	154	38	respectively	respectively	ADV
ajst-13420	154	39	.	.	PUNCT
ajst-13420	155	1	table	table	NOUN
ajst-13420	155	2	2	2	NUM
ajst-13420	155	3	.	.	PUNCT
ajst-13420	155	4	loss	loss	NOUN
ajst-13420	155	5	function	function	PROPN
ajst-13420	155	6	comparison	comparison	NOUN
ajst-13420	155	7	experiment	experiment	NOUN
ajst-13420	155	8	model	model	NOUN
ajst-13420	155	9	new	new	PROPN
ajst-13420	155	10	neck	neck	NOUN
ajst-13420	155	11	bifpn	bifpn	PROPN
ajst-13420	155	12	sa	sa	PROPN
ajst-13420	155	13	wiou	wiou	PROPN
ajst-13420	155	14	map50(%	map50(%	PROPN
ajst-13420	155	15	)	)	PUNCT
ajst-13420	155	16	params	param	NOUN
ajst-13420	155	17	/	/	SYM
ajst-13420	155	18	m	m	PROPN
ajst-13420	155	19	gflops	gflop	NOUN
ajst-13420	155	20	weight	weight	NOUN
ajst-13420	155	21	/	/	SYM
ajst-13420	155	22	m	m	PROPN
ajst-13420	155	23	yolov8n	yolov8n	NOUN
ajst-13420	155	24	90.8	90.8	NUM
ajst-13420	155	25	3.007	3.007	NUM
ajst-13420	155	26	8.1	8.1	NUM
ajst-13420	155	27	6.2	6.2	NUM
ajst-13420	155	28	improvement	improvement	NOUN
ajst-13420	155	29	1	1	NUM
ajst-13420	155	30	√	√	NOUN
ajst-13420	155	31	93.2	93.2	NUM
ajst-13420	155	32	2.071	2.071	NUM
ajst-13420	155	33	7.3	7.3	NUM
ajst-13420	155	34	4.4	4.4	NUM
ajst-13420	155	35	improvement	improvement	NOUN
ajst-13420	155	36	2	2	NUM
ajst-13420	155	37	√	√	NOUN
ajst-13420	155	38	91.0	91.0	NUM
ajst-13420	155	39	3.068	3.068	NUM
ajst-13420	155	40	8.3	8.3	NUM
ajst-13420	155	41	6.4	6.4	NUM
ajst-13420	155	42	improvement	improvement	NOUN
ajst-13420	155	43	3	3	NUM
ajst-13420	155	44	√	√	NOUN
ajst-13420	155	45	91.6	91.6	NUM
ajst-13420	155	46	3.007	3.007	NUM
ajst-13420	155	47	8.1	8.1	NUM
ajst-13420	155	48	6.3	6.3	NUM
ajst-13420	155	49	improvement	improvement	NOUN
ajst-13420	155	50	4	4	NUM
ajst-13420	155	51	√	√	NOUN
ajst-13420	155	52	93.0	93.0	NUM
ajst-13420	155	53	3.007	3.007	NUM
ajst-13420	155	54	8.1	8.1	NUM
ajst-13420	155	55	6.2	6.2	NUM
ajst-13420	155	56	improvement	improvement	NOUN
ajst-13420	155	57	5	5	NUM
ajst-13420	155	58	√	√	NUM
ajst-13420	155	59	√	√	ADP
ajst-13420	155	60	92.8	92.8	NUM
ajst-13420	155	61	1.992	1.992	NUM
ajst-13420	155	62	7.1	7.1	NUM
ajst-13420	155	63	4.2	4.2	NUM
ajst-13420	155	64	improvement	improvement	NOUN
ajst-13420	155	65	6	6	NUM
ajst-13420	155	66	√	√	NUM
ajst-13420	155	67	√	√	NUM
ajst-13420	155	68	√	√	ADP
ajst-13420	155	69	93.7	93.7	NUM
ajst-13420	155	70	1.992	1.992	NUM
ajst-13420	155	71	7.1	7.1	NUM
ajst-13420	155	72	4.2	4.2	NUM
ajst-13420	155	73	ours	ours	PRON
ajst-13420	155	74	√	√	PROPN
ajst-13420	155	75	√	√	ADP
ajst-13420	155	76	√	√	NUM
ajst-13420	156	1	√	√	NUM
ajst-13420	156	2	94.2	94.2	NUM
ajst-13420	156	3	1.992	1.992	NUM
ajst-13420	156	4	7.1	7.1	NUM
ajst-13420	156	5	4.2	4.2	NUM
ajst-13420	156	6	3.4.3	3.4.3	NUM
ajst-13420	156	7	.	.	PUNCT
ajst-13420	157	1	comparative	comparative	ADJ
ajst-13420	157	2	experiment	experiment	NOUN
ajst-13420	157	3	in	in	ADP
ajst-13420	157	4	order	order	NOUN
ajst-13420	157	5	to	to	PART
ajst-13420	157	6	verify	verify	VERB
ajst-13420	157	7	the	the	DET
ajst-13420	157	8	effectiveness	effectiveness	NOUN
ajst-13420	157	9	of	of	ADP
ajst-13420	157	10	this	this	DET
ajst-13420	157	11	algorithm	algorithm	NOUN
ajst-13420	157	12	,	,	PUNCT
ajst-13420	157	13	a	a	DET
ajst-13420	157	14	comparative	comparative	ADJ
ajst-13420	157	15	experiment	experiment	NOUN
ajst-13420	157	16	as	as	SCONJ
ajst-13420	157	17	shown	show	VERB
ajst-13420	157	18	in	in	ADP
ajst-13420	157	19	table	table	NOUN
ajst-13420	157	20	3	3	NUM
ajst-13420	157	21	was	be	AUX
ajst-13420	157	22	established	establish	VERB
ajst-13420	157	23	.	.	PUNCT
ajst-13420	158	1	the	the	DET
ajst-13420	158	2	experimental	experimental	ADJ
ajst-13420	158	3	results	result	NOUN
ajst-13420	158	4	show	show	VERB
ajst-13420	158	5	that	that	SCONJ
ajst-13420	158	6	it	it	PRON
ajst-13420	158	7	can	can	AUX
ajst-13420	158	8	be	be	AUX
ajst-13420	158	9	clearly	clearly	ADV
ajst-13420	158	10	seen	see	VERB
ajst-13420	158	11	that	that	SCONJ
ajst-13420	158	12	the	the	DET
ajst-13420	158	13	algorithm	algorithm	NOUN
ajst-13420	158	14	in	in	ADP
ajst-13420	158	15	this	this	DET
ajst-13420	158	16	paper	paper	NOUN
ajst-13420	158	17	has	have	AUX
ajst-13420	158	18	shown	show	VERB
ajst-13420	158	19	advantages	advantage	NOUN
ajst-13420	158	20	in	in	ADP
ajst-13420	158	21	many	many	ADJ
ajst-13420	158	22	aspects	aspect	NOUN
ajst-13420	158	23	.	.	PUNCT
ajst-13420	159	1	first	first	ADV
ajst-13420	159	2	of	of	ADP
ajst-13420	159	3	all	all	PRON
ajst-13420	159	4	,	,	PUNCT
ajst-13420	159	5	from	from	ADP
ajst-13420	159	6	the	the	DET
ajst-13420	159	7	perspective	perspective	NOUN
ajst-13420	159	8	of	of	ADP
ajst-13420	159	9	the	the	DET
ajst-13420	159	10	number	number	NOUN
ajst-13420	159	11	of	of	ADP
ajst-13420	159	12	model	model	NOUN
ajst-13420	159	13	parameters	parameter	NOUN
ajst-13420	159	14	,	,	PUNCT
ajst-13420	159	15	it	it	PRON
ajst-13420	159	16	is	be	AUX
ajst-13420	159	17	more	more	ADV
ajst-13420	159	18	lightweight	lightweight	ADJ
ajst-13420	159	19	than	than	ADP
ajst-13420	159	20	other	other	ADJ
ajst-13420	159	21	models	model	NOUN
ajst-13420	159	22	.	.	PUNCT
ajst-13420	160	1	the	the	DET
ajst-13420	160	2	number	number	NOUN
ajst-13420	160	3	of	of	ADP
ajst-13420	160	4	parameters	parameter	NOUN
ajst-13420	160	5	is	be	AUX
ajst-13420	160	6	only	only	ADV
ajst-13420	160	7	1.992	1.992	NUM
ajst-13420	160	8	m	m	NOUN
ajst-13420	160	9	,	,	PUNCT
ajst-13420	160	10	which	which	PRON
ajst-13420	160	11	is	be	AUX
ajst-13420	160	12	far	far	ADV
ajst-13420	160	13	lower	low	ADJ
ajst-13420	160	14	than	than	ADP
ajst-13420	160	15	the	the	DET
ajst-13420	160	16	24.280	24.280	NUM
ajst-13420	160	17	m	m	NOUN
ajst-13420	160	18	of	of	ADP
ajst-13420	160	19	ssd[23	ssd[23	NOUN
ajst-13420	160	20	]	]	PUNCT
ajst-13420	160	21	,	,	PUNCT
ajst-13420	160	22	which	which	PRON
ajst-13420	160	23	makes	make	VERB
ajst-13420	160	24	it	it	PRON
ajst-13420	160	25	more	more	ADV
ajst-13420	160	26	suitable	suitable	ADJ
ajst-13420	160	27	for	for	ADP
ajst-13420	160	28	deployment	deployment	NOUN
ajst-13420	160	29	in	in	ADP
ajst-13420	160	30	mobile	mobile	ADJ
ajst-13420	160	31	devices	device	NOUN
ajst-13420	160	32	and	and	CCONJ
ajst-13420	160	33	other	other	ADJ
ajst-13420	160	34	resource	resource	NOUN
ajst-13420	160	35	-	-	PUNCT
ajst-13420	160	36	limited	limit	VERB
ajst-13420	160	37	environments	environment	NOUN
ajst-13420	160	38	.	.	PUNCT
ajst-13420	161	1	environment	environment	NOUN
ajst-13420	161	2	.	.	PUNCT
ajst-13420	162	1	in	in	ADP
ajst-13420	162	2	addition	addition	NOUN
ajst-13420	162	3	,	,	PUNCT
ajst-13420	162	4	the	the	DET
ajst-13420	162	5	computational	computational	ADJ
ajst-13420	162	6	load	load	NOUN
ajst-13420	162	7	of	of	ADP
ajst-13420	162	8	the	the	DET
ajst-13420	162	9	algorithm	algorithm	NOUN
ajst-13420	162	10	in	in	ADP
ajst-13420	162	11	this	this	DET
ajst-13420	162	12	paper	paper	NOUN
ajst-13420	162	13	is	be	AUX
ajst-13420	162	14	also	also	ADV
ajst-13420	162	15	relatively	relatively	ADV
ajst-13420	162	16	low	low	ADJ
ajst-13420	162	17	,	,	PUNCT
ajst-13420	162	18	with	with	ADP
ajst-13420	162	19	gflops	gflop	NOUN
ajst-13420	162	20	of	of	ADP
ajst-13420	162	21	only	only	ADV
ajst-13420	162	22	7.1	7.1	NUM
ajst-13420	162	23	,	,	PUNCT
ajst-13420	162	24	which	which	PRON
ajst-13420	162	25	is	be	AUX
ajst-13420	162	26	far	far	ADV
ajst-13420	162	27	lower	low	ADJ
ajst-13420	162	28	than	than	ADP
ajst-13420	162	29	the	the	DET
ajst-13420	162	30	highest	high	ADJ
ajst-13420	162	31	value	value	NOUN
ajst-13420	162	32	of	of	ADP
ajst-13420	162	33	275.4	275.4	NUM
ajst-13420	162	34	in	in	ADP
ajst-13420	162	35	other	other	ADJ
ajst-13420	162	36	models	model	NOUN
ajst-13420	162	37	,	,	PUNCT
ajst-13420	162	38	which	which	PRON
ajst-13420	162	39	means	mean	VERB
ajst-13420	162	40	that	that	SCONJ
ajst-13420	162	41	it	it	PRON
ajst-13420	162	42	can	can	AUX
ajst-13420	162	43	achieve	achieve	VERB
ajst-13420	162	44	efficient	efficient	ADJ
ajst-13420	162	45	real	real	ADJ
ajst-13420	162	46	-	-	PUNCT
ajst-13420	162	47	time	time	NOUN
ajst-13420	162	48	detection	detection	NOUN
ajst-13420	162	49	on	on	ADP
ajst-13420	162	50	mobile	mobile	ADJ
ajst-13420	162	51	devices	device	NOUN
ajst-13420	162	52	.	.	PUNCT
ajst-13420	163	1	not	not	PART
ajst-13420	163	2	only	only	ADV
ajst-13420	163	3	that	that	PRON
ajst-13420	163	4	,	,	PUNCT
ajst-13420	163	5	the	the	DET
ajst-13420	163	6	algorithm	algorithm	NOUN
ajst-13420	163	7	in	in	ADP
ajst-13420	163	8	this	this	DET
ajst-13420	163	9	paper	paper	NOUN
ajst-13420	163	10	has	have	AUX
ajst-13420	163	11	also	also	ADV
ajst-13420	163	12	significantly	significantly	ADV
ajst-13420	163	13	improved	improve	VERB
ajst-13420	163	14	the	the	DET
ajst-13420	163	15	detection	detection	NOUN
ajst-13420	163	16	accuracy	accuracy	NOUN
ajst-13420	163	17	.	.	PUNCT
ajst-13420	164	1	its	its	PRON
ajst-13420	164	2	map50	map50	PROPN
ajst-13420	164	3	value	value	NOUN
ajst-13420	164	4	is	be	AUX
ajst-13420	164	5	94.2	94.2	NUM
ajst-13420	164	6	%	%	NOUN
ajst-13420	164	7	,	,	PUNCT
ajst-13420	164	8	which	which	PRON
ajst-13420	164	9	is	be	AUX
ajst-13420	164	10	higher	high	ADJ
ajst-13420	164	11	than	than	ADP
ajst-13420	164	12	most	most	ADJ
ajst-13420	164	13	other	other	ADJ
ajst-13420	164	14	models	model	NOUN
ajst-13420	164	15	,	,	PUNCT
ajst-13420	164	16	even	even	ADV
ajst-13420	164	17	close	close	ADJ
ajst-13420	164	18	to	to	ADP
ajst-13420	164	19	yolov8s	yolov8	NOUN
ajst-13420	164	20	'	'	PART
ajst-13420	164	21	94.7	94.7	NUM
ajst-13420	164	22	%	%	NOUN
ajst-13420	164	23	,	,	PUNCT
ajst-13420	164	24	and	and	CCONJ
ajst-13420	164	25	it	it	PRON
ajst-13420	164	26	also	also	ADV
ajst-13420	164	27	performs	perform	VERB
ajst-13420	164	28	well	well	ADV
ajst-13420	164	29	in	in	ADP
ajst-13420	164	30	map90	map90	NOUN
ajst-13420	164	31	-	-	PUNCT
ajst-13420	164	32	95	95	NUM
ajst-13420	164	33	,	,	PUNCT
ajst-13420	164	34	reaching	reach	VERB
ajst-13420	164	35	49.0	49.0	NUM
ajst-13420	164	36	%	%	NOUN
ajst-13420	164	37	.	.	PUNCT
ajst-13420	165	1	this	this	PRON
ajst-13420	165	2	means	mean	VERB
ajst-13420	165	3	that	that	SCONJ
ajst-13420	165	4	the	the	DET
ajst-13420	165	5	algorithm	algorithm	NOUN
ajst-13420	165	6	in	in	ADP
ajst-13420	165	7	0	0	NUM
ajst-13420	165	8	50	50	NUM
ajst-13420	165	9	100	100	NUM
ajst-13420	165	10	150	150	NUM
ajst-13420	165	11	200	200	NUM
ajst-13420	165	12	0	0	NUM
ajst-13420	165	13	2	2	NUM
ajst-13420	165	14	4	4	NUM
ajst-13420	165	15	6	6	NUM
ajst-13420	165	16	8	8	NUM
ajst-13420	165	17	10	10	NUM
ajst-13420	165	18	12	12	NUM
ajst-13420	165	19	14	14	NUM
ajst-13420	165	20	b	b	PROPN
ajst-13420	165	21	ox	ox	NOUN
ajst-13420	165	22	_	_	PROPN
ajst-13420	166	1	l	l	NOUN
ajst-13420	167	1	os	os	NOUN
ajst-13420	167	2	s	s	VERB
ajst-13420	167	3	epoch	epoch	NOUN
ajst-13420	167	4	ciou	ciou	NOUN
ajst-13420	167	5	focaliou	focaliou	NOUN
ajst-13420	167	6	diou	diou	NOUN
ajst-13420	167	7	eiou	eiou	NOUN
ajst-13420	167	8	siou	siou	NOUN
ajst-13420	167	9	giou	giou	NOUN
ajst-13420	167	10	wiou	wiou	NOUN
ajst-13420	167	11	303	303	NUM
ajst-13420	167	12	this	this	DET
ajst-13420	167	13	paper	paper	NOUN
ajst-13420	167	14	can	can	AUX
ajst-13420	167	15	more	more	ADV
ajst-13420	167	16	accurately	accurately	ADV
ajst-13420	167	17	capture	capture	VERB
ajst-13420	167	18	the	the	DET
ajst-13420	167	19	target	target	NOUN
ajst-13420	167	20	object	object	NOUN
ajst-13420	167	21	when	when	SCONJ
ajst-13420	167	22	detecting	detect	VERB
ajst-13420	167	23	the	the	DET
ajst-13420	167	24	target	target	NOUN
ajst-13420	167	25	and	and	CCONJ
ajst-13420	167	26	provide	provide	VERB
ajst-13420	167	27	more	more	ADJ
ajst-13420	167	28	reliable	reliable	ADJ
ajst-13420	167	29	detection	detection	NOUN
ajst-13420	167	30	results	result	NOUN
ajst-13420	167	31	.	.	PUNCT
ajst-13420	168	1	table	table	NOUN
ajst-13420	168	2	3	3	NUM
ajst-13420	168	3	.	.	PUNCT
ajst-13420	168	4	loss	loss	NOUN
ajst-13420	168	5	function	function	PROPN
ajst-13420	168	6	comparison	comparison	NOUN
ajst-13420	168	7	experiment	experiment	NOUN
ajst-13420	168	8	model	model	PROPN
ajst-13420	168	9	map50(%	map50(%	PROPN
ajst-13420	168	10	)	)	PUNCT
ajst-13420	168	11	map90	map90	PROPN
ajst-13420	168	12	-	-	PUNCT
ajst-13420	168	13	95(%	95(%	PROPN
ajst-13420	168	14	)	)	PUNCT
ajst-13420	168	15	params	param	NOUN
ajst-13420	168	16	/	/	SYM
ajst-13420	168	17	m	m	PROPN
ajst-13420	168	18	gflops	gflop	NOUN
ajst-13420	168	19	weight	weight	NOUN
ajst-13420	168	20	/	/	SYM
ajst-13420	168	21	m	m	PROPN
ajst-13420	168	22	ssd	ssd	NOUN
ajst-13420	168	23	84.5	84.5	NUM
ajst-13420	168	24	36.5	36.5	NUM
ajst-13420	168	25	24.280	24.280	NUM
ajst-13420	168	26	275.4	275.4	NUM
ajst-13420	168	27	93.1	93.1	NUM
ajst-13420	168	28	yolov5n	yolov5n	NOUN
ajst-13420	168	29	65.9	65.9	NUM
ajst-13420	168	30	27.7	27.7	NUM
ajst-13420	168	31	1.767	1.767	NUM
ajst-13420	168	32	4.2	4.2	NUM
ajst-13420	168	33	3.9	3.9	NUM
ajst-13420	168	34	yolov5s	yolov5s	NOUN
ajst-13420	168	35	87.4	87.4	NUM
ajst-13420	168	36	41.6	41.6	NUM
ajst-13420	168	37	7.026	7.026	NUM
ajst-13420	168	38	15.8	15.8	NUM
ajst-13420	168	39	14.5	14.5	NUM
ajst-13420	168	40	yolov6s	yolov6s	NOUN
ajst-13420	168	41	90.3	90.3	NUM
ajst-13420	168	42	45.5	45.5	NUM
ajst-13420	168	43	16.298	16.298	NUM
ajst-13420	168	44	44.0	44.0	NUM
ajst-13420	168	45	32.8	32.8	NUM
ajst-13420	168	46	yolov7	yolov7	NOUN
ajst-13420	168	47	-	-	PUNCT
ajst-13420	168	48	tiny	tiny	ADJ
ajst-13420	168	49	79.4	79.4	NUM
ajst-13420	168	50	35.5	35.5	NUM
ajst-13420	168	51	6.028	6.028	NUM
ajst-13420	168	52	13.2	13.2	NUM
ajst-13420	168	53	12.3	12.3	NUM
ajst-13420	168	54	yolov8n	yolov8n	NOUN
ajst-13420	168	55	90.8	90.8	NUM
ajst-13420	168	56	46.8	46.8	NUM
ajst-13420	168	57	3.007	3.007	NUM
ajst-13420	168	58	8.1	8.1	NUM
ajst-13420	168	59	6.2	6.2	NUM
ajst-13420	168	60	yolov8s	yolov8	NOUN
ajst-13420	168	61	94.7	94.7	NUM
ajst-13420	168	62	51.2	51.2	NUM
ajst-13420	168	63	11.128	11.128	NUM
ajst-13420	168	64	28.4	28.4	NUM
ajst-13420	168	65	22.5	22.5	NUM
ajst-13420	168	66	ours	ours	PRON
ajst-13420	168	67	94.2	94.2	NUM
ajst-13420	168	68	49.0	49.0	NUM
ajst-13420	168	69	1.992	1.992	NUM
ajst-13420	168	70	7.1	7.1	NUM
ajst-13420	168	71	4.2	4.2	NUM
ajst-13420	168	72	in	in	ADP
ajst-13420	168	73	summary	summary	NOUN
ajst-13420	168	74	,	,	PUNCT
ajst-13420	168	75	the	the	DET
ajst-13420	168	76	algorithm	algorithm	NOUN
ajst-13420	168	77	in	in	ADP
ajst-13420	168	78	this	this	DET
ajst-13420	168	79	paper	paper	NOUN
ajst-13420	168	80	has	have	AUX
ajst-13420	168	81	become	become	VERB
ajst-13420	168	82	an	an	DET
ajst-13420	168	83	ideal	ideal	ADJ
ajst-13420	168	84	choice	choice	NOUN
ajst-13420	168	85	for	for	ADP
ajst-13420	168	86	deployment	deployment	NOUN
ajst-13420	168	87	in	in	ADP
ajst-13420	168	88	resource	resource	NOUN
ajst-13420	168	89	-	-	PUNCT
ajst-13420	168	90	limited	limit	VERB
ajst-13420	168	91	environments	environment	NOUN
ajst-13420	168	92	such	such	ADJ
ajst-13420	168	93	as	as	ADP
ajst-13420	168	94	mobile	mobile	ADJ
ajst-13420	168	95	devices	device	NOUN
ajst-13420	168	96	due	due	ADP
ajst-13420	168	97	to	to	ADP
ajst-13420	168	98	its	its	PRON
ajst-13420	168	99	lightweight	lightweight	ADJ
ajst-13420	168	100	characteristics	characteristic	NOUN
ajst-13420	168	101	,	,	PUNCT
ajst-13420	168	102	low	low	ADJ
ajst-13420	168	103	computational	computational	ADJ
ajst-13420	168	104	load	load	NOUN
ajst-13420	168	105	,	,	PUNCT
ajst-13420	168	106	and	and	CCONJ
ajst-13420	168	107	superior	superior	ADJ
ajst-13420	168	108	detection	detection	NOUN
ajst-13420	168	109	accuracy	accuracy	NOUN
ajst-13420	168	110	.	.	PUNCT
ajst-13420	169	1	this	this	PRON
ajst-13420	169	2	gives	give	VERB
ajst-13420	169	3	it	it	PRON
ajst-13420	169	4	broad	broad	ADJ
ajst-13420	169	5	application	application	NOUN
ajst-13420	169	6	potential	potential	NOUN
ajst-13420	169	7	in	in	ADP
ajst-13420	169	8	areas	area	NOUN
ajst-13420	169	9	such	such	ADJ
ajst-13420	169	10	as	as	ADP
ajst-13420	169	11	real	real	ADJ
ajst-13420	169	12	-	-	PUNCT
ajst-13420	169	13	time	time	NOUN
ajst-13420	169	14	object	object	NOUN
ajst-13420	169	15	detection	detection	NOUN
ajst-13420	169	16	,	,	PUNCT
ajst-13420	169	17	mobile	mobile	ADJ
ajst-13420	169	18	applications	application	NOUN
ajst-13420	169	19	,	,	PUNCT
ajst-13420	169	20	and	and	CCONJ
ajst-13420	169	21	embedded	embed	VERB
ajst-13420	169	22	systems	system	NOUN
ajst-13420	169	23	.	.	PUNCT
ajst-13420	170	1	3.4.4	3.4.4	NUM
ajst-13420	170	2	.	.	PUNCT
ajst-13420	171	1	visual	visual	ADJ
ajst-13420	171	2	result	result	VERB
ajst-13420	171	3	analysis	analysis	NOUN
ajst-13420	171	4	in	in	ADP
ajst-13420	171	5	order	order	NOUN
ajst-13420	171	6	to	to	PART
ajst-13420	171	7	verify	verify	VERB
ajst-13420	171	8	the	the	DET
ajst-13420	171	9	superiority	superiority	NOUN
ajst-13420	171	10	of	of	ADP
ajst-13420	171	11	this	this	DET
ajst-13420	171	12	algorithm	algorithm	NOUN
ajst-13420	171	13	in	in	ADP
ajst-13420	171	14	actual	actual	ADJ
ajst-13420	171	15	detection	detection	NOUN
ajst-13420	171	16	,	,	PUNCT
ajst-13420	171	17	five	five	NUM
ajst-13420	171	18	sets	set	NOUN
ajst-13420	171	19	of	of	ADP
ajst-13420	171	20	experimental	experimental	ADJ
ajst-13420	171	21	comparisons	comparison	NOUN
ajst-13420	171	22	are	be	AUX
ajst-13420	171	23	designed	design	VERB
ajst-13420	171	24	as	as	SCONJ
ajst-13420	171	25	shown	show	VERB
ajst-13420	171	26	in	in	ADP
ajst-13420	171	27	figure	figure	NOUN
ajst-13420	171	28	7	7	NUM
ajst-13420	171	29	,	,	PUNCT
ajst-13420	171	30	all	all	PRON
ajst-13420	171	31	of	of	ADP
ajst-13420	171	32	which	which	PRON
ajst-13420	171	33	are	be	AUX
ajst-13420	171	34	enlarged	enlarge	VERB
ajst-13420	171	35	images	image	NOUN
ajst-13420	171	36	.	.	PUNCT
ajst-13420	172	1	first	first	ADV
ajst-13420	172	2	of	of	ADP
ajst-13420	172	3	all	all	PRON
ajst-13420	172	4	,	,	PUNCT
ajst-13420	172	5	the	the	DET
ajst-13420	172	6	first	first	ADJ
ajst-13420	172	7	set	set	NOUN
ajst-13420	172	8	of	of	ADP
ajst-13420	172	9	results	result	NOUN
ajst-13420	172	10	shows	show	VERB
ajst-13420	172	11	that	that	SCONJ
ajst-13420	172	12	our	our	PRON
ajst-13420	172	13	algorithm	algorithm	NOUN
ajst-13420	172	14	surpasses	surpass	VERB
ajst-13420	172	15	the	the	DET
ajst-13420	172	16	original	original	ADJ
ajst-13420	172	17	yolov8n	yolov8n	NOUN
ajst-13420	172	18	in	in	ADP
ajst-13420	172	19	terms	term	NOUN
ajst-13420	172	20	of	of	ADP
ajst-13420	172	21	detection	detection	NOUN
ajst-13420	172	22	accuracy	accuracy	NOUN
ajst-13420	172	23	,	,	PUNCT
ajst-13420	172	24	which	which	PRON
ajst-13420	172	25	means	mean	VERB
ajst-13420	172	26	that	that	SCONJ
ajst-13420	172	27	our	our	PRON
ajst-13420	172	28	algorithm	algorithm	NOUN
ajst-13420	172	29	identifies	identify	VERB
ajst-13420	172	30	defects	defect	NOUN
ajst-13420	172	31	more	more	ADV
ajst-13420	172	32	accurately	accurately	ADV
ajst-13420	172	33	.	.	PUNCT
ajst-13420	173	1	secondly	secondly	ADV
ajst-13420	173	2	,	,	PUNCT
ajst-13420	173	3	the	the	DET
ajst-13420	173	4	second	second	ADJ
ajst-13420	173	5	and	and	CCONJ
ajst-13420	173	6	third	third	ADJ
ajst-13420	173	7	sets	set	NOUN
ajst-13420	173	8	of	of	ADP
ajst-13420	173	9	results	result	NOUN
ajst-13420	173	10	show	show	VERB
ajst-13420	173	11	that	that	SCONJ
ajst-13420	173	12	compared	compare	VERB
ajst-13420	173	13	with	with	ADP
ajst-13420	173	14	the	the	DET
ajst-13420	173	15	original	original	ADJ
ajst-13420	173	16	yolov8n	yolov8n	NOUN
ajst-13420	173	17	,	,	PUNCT
ajst-13420	173	18	the	the	DET
ajst-13420	173	19	missed	miss	VERB
ajst-13420	173	20	detection	detection	NOUN
ajst-13420	173	21	rate	rate	NOUN
ajst-13420	173	22	of	of	ADP
ajst-13420	173	23	this	this	DET
ajst-13420	173	24	algorithm	algorithm	NOUN
ajst-13420	173	25	has	have	AUX
ajst-13420	173	26	been	be	AUX
ajst-13420	173	27	reduced	reduce	VERB
ajst-13420	173	28	,	,	PUNCT
ajst-13420	173	29	which	which	PRON
ajst-13420	173	30	means	mean	VERB
ajst-13420	173	31	that	that	SCONJ
ajst-13420	173	32	it	it	PRON
ajst-13420	173	33	is	be	AUX
ajst-13420	173	34	easier	easy	ADJ
ajst-13420	173	35	to	to	PART
ajst-13420	173	36	capture	capture	VERB
ajst-13420	173	37	potential	potential	ADJ
ajst-13420	173	38	defects	defect	NOUN
ajst-13420	173	39	,	,	PUNCT
ajst-13420	173	40	thus	thus	ADV
ajst-13420	173	41	improving	improve	VERB
ajst-13420	173	42	the	the	DET
ajst-13420	173	43	comprehensiveness	comprehensiveness	NOUN
ajst-13420	173	44	of	of	ADP
ajst-13420	173	45	detection	detection	NOUN
ajst-13420	173	46	.	.	PUNCT
ajst-13420	174	1	finally	finally	ADV
ajst-13420	174	2	,	,	PUNCT
ajst-13420	174	3	the	the	DET
ajst-13420	174	4	fourth	fourth	ADJ
ajst-13420	174	5	and	and	CCONJ
ajst-13420	174	6	fifth	fifth	ADJ
ajst-13420	174	7	sets	set	NOUN
ajst-13420	174	8	of	of	ADP
ajst-13420	174	9	results	result	NOUN
ajst-13420	174	10	show	show	VERB
ajst-13420	174	11	that	that	SCONJ
ajst-13420	174	12	the	the	DET
ajst-13420	174	13	algorithm	algorithm	NOUN
ajst-13420	174	14	in	in	ADP
ajst-13420	174	15	this	this	DET
ajst-13420	174	16	paper	paper	NOUN
ajst-13420	174	17	has	have	AUX
ajst-13420	174	18	reduced	reduce	VERB
ajst-13420	174	19	the	the	DET
ajst-13420	174	20	false	false	ADJ
ajst-13420	174	21	detection	detection	NOUN
ajst-13420	174	22	rate	rate	NOUN
ajst-13420	174	23	,	,	PUNCT
ajst-13420	174	24	which	which	PRON
ajst-13420	174	25	means	mean	VERB
ajst-13420	174	26	that	that	SCONJ
ajst-13420	174	27	normal	normal	ADJ
ajst-13420	174	28	objects	object	NOUN
ajst-13420	174	29	are	be	AUX
ajst-13420	174	30	less	less	ADV
ajst-13420	174	31	likely	likely	ADJ
ajst-13420	174	32	to	to	PART
ajst-13420	174	33	be	be	AUX
ajst-13420	174	34	misjudged	misjudge	VERB
ajst-13420	174	35	as	as	ADP
ajst-13420	174	36	defects	defect	NOUN
ajst-13420	174	37	,	,	PUNCT
ajst-13420	174	38	thereby	thereby	ADV
ajst-13420	174	39	reducing	reduce	VERB
ajst-13420	174	40	the	the	DET
ajst-13420	174	41	risk	risk	NOUN
ajst-13420	174	42	of	of	ADP
ajst-13420	174	43	false	false	ADJ
ajst-13420	174	44	alarms	alarm	NOUN
ajst-13420	174	45	.	.	PUNCT
ajst-13420	175	1	taken	take	VERB
ajst-13420	175	2	together	together	ADV
ajst-13420	175	3	,	,	PUNCT
ajst-13420	175	4	the	the	DET
ajst-13420	175	5	algorithm	algorithm	NOUN
ajst-13420	175	6	in	in	ADP
ajst-13420	175	7	this	this	DET
ajst-13420	175	8	paper	paper	NOUN
ajst-13420	175	9	has	have	AUX
ajst-13420	175	10	achieved	achieve	VERB
ajst-13420	175	11	significant	significant	ADJ
ajst-13420	175	12	improvements	improvement	NOUN
ajst-13420	175	13	in	in	ADP
ajst-13420	175	14	accuracy	accuracy	NOUN
ajst-13420	175	15	,	,	PUNCT
ajst-13420	175	16	missed	miss	VERB
ajst-13420	175	17	detection	detection	NOUN
ajst-13420	175	18	rate	rate	NOUN
ajst-13420	175	19	,	,	PUNCT
ajst-13420	175	20	and	and	CCONJ
ajst-13420	175	21	false	false	ADJ
ajst-13420	175	22	detection	detection	NOUN
ajst-13420	175	23	rate	rate	NOUN
ajst-13420	175	24	,	,	PUNCT
ajst-13420	175	25	making	make	VERB
ajst-13420	175	26	it	it	PRON
ajst-13420	175	27	a	a	DET
ajst-13420	175	28	more	more	ADV
ajst-13420	175	29	reliable	reliable	ADJ
ajst-13420	175	30	and	and	CCONJ
ajst-13420	175	31	efficient	efficient	ADJ
ajst-13420	175	32	defect	defect	NOUN
ajst-13420	175	33	detection	detection	NOUN
ajst-13420	175	34	tool	tool	NOUN
ajst-13420	175	35	.	.	PUNCT
ajst-13420	176	1	figure	figure	NOUN
ajst-13420	176	2	7	7	NUM
ajst-13420	176	3	.	.	PUNCT
ajst-13420	176	4	visualized	visualize	VERB
ajst-13420	176	5	results	result	NOUN
ajst-13420	176	6	comparison	comparison	NOUN
ajst-13420	176	7	chart	chart	NOUN
ajst-13420	176	8	4	4	NUM
ajst-13420	176	9	.	.	PUNCT
ajst-13420	177	1	conclusion	conclusion	NOUN
ajst-13420	177	2	this	this	DET
ajst-13420	177	3	study	study	NOUN
ajst-13420	177	4	proposes	propose	VERB
ajst-13420	177	5	an	an	DET
ajst-13420	177	6	improved	improved	ADJ
ajst-13420	177	7	yolov8	yolov8	NOUN
ajst-13420	177	8	model	model	NOUN
ajst-13420	177	9	for	for	ADP
ajst-13420	177	10	pcb	pcb	NOUN
ajst-13420	177	11	defect	defect	NOUN
ajst-13420	177	12	detection	detection	NOUN
ajst-13420	177	13	through	through	ADP
ajst-13420	177	14	a	a	DET
ajst-13420	177	15	series	series	NOUN
ajst-13420	177	16	of	of	ADP
ajst-13420	177	17	improvements	improvement	NOUN
ajst-13420	177	18	and	and	CCONJ
ajst-13420	177	19	optimizations	optimization	NOUN
ajst-13420	177	20	.	.	PUNCT
ajst-13420	178	1	in	in	ADP
ajst-13420	178	2	the	the	DET
ajst-13420	178	3	experiment	experiment	NOUN
ajst-13420	178	4	,	,	PUNCT
ajst-13420	178	5	this	this	DET
ajst-13420	178	6	paper	paper	NOUN
ajst-13420	178	7	first	first	ADV
ajst-13420	178	8	introduced	introduce	VERB
ajst-13420	178	9	a	a	DET
ajst-13420	178	10	new	new	ADJ
ajst-13420	178	11	neck	neck	NOUN
ajst-13420	178	12	network	network	NOUN
ajst-13420	178	13	structure	structure	NOUN
ajst-13420	178	14	,	,	PUNCT
ajst-13420	178	15	which	which	PRON
ajst-13420	178	16	effectively	effectively	ADV
ajst-13420	178	17	reduced	reduce	VERB
ajst-13420	178	18	the	the	DET
ajst-13420	178	19	number	number	NOUN
ajst-13420	178	20	of	of	ADP
ajst-13420	178	21	parameters	parameter	NOUN
ajst-13420	178	22	and	and	CCONJ
ajst-13420	178	23	computational	computational	ADJ
ajst-13420	178	24	complexity	complexity	NOUN
ajst-13420	178	25	of	of	ADP
ajst-13420	178	26	the	the	DET
ajst-13420	178	27	model	model	NOUN
ajst-13420	178	28	,	,	PUNCT
ajst-13420	178	29	thereby	thereby	ADV
ajst-13420	178	30	achieving	achieve	VERB
ajst-13420	178	31	higher	high	ADJ
ajst-13420	178	32	operating	operating	NOUN
ajst-13420	178	33	efficiency	efficiency	NOUN
ajst-13420	178	34	in	in	ADP
ajst-13420	178	35	resource	resource	NOUN
ajst-13420	178	36	-	-	PUNCT
ajst-13420	178	37	constrained	constrain	VERB
ajst-13420	178	38	environments	environment	NOUN
ajst-13420	178	39	.	.	PUNCT
ajst-13420	179	1	subsequently	subsequently	ADV
ajst-13420	179	2	,	,	PUNCT
ajst-13420	179	3	the	the	DET
ajst-13420	179	4	sa	sa	PROPN
ajst-13420	179	5	(	(	PUNCT
ajst-13420	179	6	shuffleattention	shuffleattention	NOUN
ajst-13420	179	7	)	)	PUNCT
ajst-13420	179	8	attention	attention	NOUN
ajst-13420	179	9	mechanism	mechanism	NOUN
ajst-13420	179	10	and	and	CCONJ
ajst-13420	179	11	bifpn	bifpn	PROPN
ajst-13420	179	12	structure	structure	NOUN
ajst-13420	179	13	were	be	AUX
ajst-13420	179	14	added	add	VERB
ajst-13420	179	15	to	to	PART
ajst-13420	179	16	further	far	ADV
ajst-13420	179	17	improve	improve	VERB
ajst-13420	179	18	the	the	DET
ajst-13420	179	19	model	model	NOUN
ajst-13420	179	20	's	's	PART
ajst-13420	179	21	multi	multi	ADJ
ajst-13420	179	22	-	-	ADJ
ajst-13420	179	23	scale	scale	ADJ
ajst-13420	179	24	feature	feature	NOUN
ajst-13420	179	25	fusion	fusion	NOUN
ajst-13420	179	26	capabilities	capability	NOUN
ajst-13420	179	27	,	,	PUNCT
ajst-13420	179	28	making	make	VERB
ajst-13420	179	29	it	it	PRON
ajst-13420	179	30	more	more	ADV
ajst-13420	179	31	suitable	suitable	ADJ
ajst-13420	179	32	for	for	ADP
ajst-13420	179	33	small	small	ADJ
ajst-13420	179	34	target	target	NOUN
ajst-13420	179	35	detection	detection	NOUN
ajst-13420	179	36	tasks	task	NOUN
ajst-13420	179	37	.	.	PUNCT
ajst-13420	180	1	most	most	ADV
ajst-13420	180	2	importantly	importantly	ADV
ajst-13420	180	3	,	,	PUNCT
ajst-13420	180	4	replacing	replace	VERB
ajst-13420	180	5	the	the	DET
ajst-13420	180	6	traditional	traditional	ADJ
ajst-13420	180	7	ciou	ciou	NOUN
ajst-13420	180	8	loss	loss	NOUN
ajst-13420	180	9	function	function	NOUN
ajst-13420	180	10	with	with	ADP
ajst-13420	180	11	the	the	DET
ajst-13420	180	12	wiou	wiou	NOUN
ajst-13420	180	13	loss	loss	NOUN
ajst-13420	180	14	function	function	NOUN
ajst-13420	180	15	significantly	significantly	ADV
ajst-13420	180	16	improves	improve	VERB
ajst-13420	180	17	the	the	DET
ajst-13420	180	18	detection	detection	NOUN
ajst-13420	180	19	accuracy	accuracy	NOUN
ajst-13420	180	20	and	and	CCONJ
ajst-13420	180	21	robustness	robustness	NOUN
ajst-13420	180	22	of	of	ADP
ajst-13420	180	23	the	the	DET
ajst-13420	180	24	model	model	NOUN
ajst-13420	180	25	.	.	PUNCT
ajst-13420	181	1	experimental	experimental	ADJ
ajst-13420	181	2	results	result	NOUN
ajst-13420	181	3	verify	verify	VERB
ajst-13420	181	4	the	the	DET
ajst-13420	181	5	excellent	excellent	ADJ
ajst-13420	181	6	performance	performance	NOUN
ajst-13420	181	7	of	of	ADP
ajst-13420	181	8	this	this	DET
ajst-13420	181	9	improvement	improvement	NOUN
ajst-13420	181	10	in	in	ADP
ajst-13420	181	11	pcb	pcb	NOUN
ajst-13420	181	12	defect	defect	NOUN
ajst-13420	181	13	detection	detection	NOUN
ajst-13420	181	14	tasks	task	NOUN
ajst-13420	181	15	.	.	PUNCT
ajst-13420	182	1	the	the	DET
ajst-13420	182	2	model	model	NOUN
ajst-13420	182	3	in	in	ADP
ajst-13420	182	4	this	this	DET
ajst-13420	182	5	article	article	NOUN
ajst-13420	182	6	not	not	PART
ajst-13420	182	7	only	only	ADV
ajst-13420	182	8	achieves	achieve	VERB
ajst-13420	182	9	significant	significant	ADJ
ajst-13420	182	10	improvements	improvement	NOUN
ajst-13420	182	11	in	in	ADP
ajst-13420	182	12	map50	map50	PROPN
ajst-13420	182	13	and	and	CCONJ
ajst-13420	182	14	map90	map90	NOUN
ajst-13420	182	15	-	-	PUNCT
ajst-13420	182	16	95	95	NUM
ajst-13420	182	17	,	,	PUNCT
ajst-13420	182	18	reaching	reach	VERB
ajst-13420	182	19	94.2	94.2	NUM
ajst-13420	182	20	%	%	NOUN
ajst-13420	182	21	and	and	CCONJ
ajst-13420	182	22	49.0	49.0	NUM
ajst-13420	182	23	%	%	NOUN
ajst-13420	182	24	respectively	respectively	ADV
ajst-13420	182	25	,	,	PUNCT
ajst-13420	182	26	but	but	CCONJ
ajst-13420	182	27	also	also	ADV
ajst-13420	182	28	has	have	VERB
ajst-13420	182	29	a	a	DET
ajst-13420	182	30	relatively	relatively	ADV
ajst-13420	182	31	low	low	ADJ
ajst-13420	182	32	number	number	NOUN
ajst-13420	182	33	of	of	ADP
ajst-13420	182	34	parameters	parameter	NOUN
ajst-13420	182	35	and	and	CCONJ
ajst-13420	182	36	calculations	calculation	NOUN
ajst-13420	182	37	,	,	PUNCT
ajst-13420	182	38	making	make	VERB
ajst-13420	182	39	it	it	PRON
ajst-13420	182	40	suitable	suitable	ADJ
ajst-13420	182	41	for	for	ADP
ajst-13420	182	42	mobile	mobile	ADJ
ajst-13420	182	43	devices	device	NOUN
ajst-13420	182	44	and	and	CCONJ
ajst-13420	182	45	embedded	embed	VERB
ajst-13420	182	46	systems	system	NOUN
ajst-13420	182	47	.	.	PUNCT
ajst-13420	183	1	ideal	ideal	ADJ
ajst-13420	183	2	for	for	ADP
ajst-13420	183	3	resourceconstrained	resourceconstraine	VERB
ajst-13420	183	4	environments	environment	NOUN
ajst-13420	183	5	such	such	ADJ
ajst-13420	183	6	as	as	ADP
ajst-13420	183	7	systems	system	NOUN
ajst-13420	183	8	.	.	PUNCT
ajst-13420	184	1	by	by	ADP
ajst-13420	184	2	comparing	compare	VERB
ajst-13420	184	3	other	other	ADJ
ajst-13420	184	4	common	common	ADJ
ajst-13420	184	5	target	target	NOUN
ajst-13420	184	6	detection	detection	NOUN
ajst-13420	184	7	models	model	NOUN
ajst-13420	184	8	,	,	PUNCT
ajst-13420	184	9	this	this	DET
ajst-13420	184	10	method	method	NOUN
ajst-13420	184	11	achieves	achieve	VERB
ajst-13420	184	12	a	a	DET
ajst-13420	184	13	good	good	ADJ
ajst-13420	184	14	balance	balance	NOUN
ajst-13420	184	15	between	between	ADP
ajst-13420	184	16	lightweight	lightweight	NOUN
ajst-13420	184	17	and	and	CCONJ
ajst-13420	184	18	performance	performance	NOUN
ajst-13420	184	19	,	,	PUNCT
ajst-13420	184	20	and	and	CCONJ
ajst-13420	184	21	has	have	VERB
ajst-13420	184	22	broad	broad	ADJ
ajst-13420	184	23	application	application	NOUN
ajst-13420	184	24	prospects	prospect	NOUN
ajst-13420	184	25	.	.	PUNCT
ajst-13420	185	1	taken	take	VERB
ajst-13420	185	2	together	together	ADV
ajst-13420	185	3	,	,	PUNCT
ajst-13420	185	4	this	this	DET
ajst-13420	185	5	research	research	NOUN
ajst-13420	185	6	provides	provide	VERB
ajst-13420	185	7	an	an	DET
ajst-13420	185	8	efficient	efficient	ADJ
ajst-13420	185	9	,	,	PUNCT
ajst-13420	185	10	accurate	accurate	ADJ
ajst-13420	185	11	and	and	CCONJ
ajst-13420	185	12	lightweight	lightweight	ADJ
ajst-13420	185	13	solution	solution	NOUN
ajst-13420	185	14	for	for	ADP
ajst-13420	185	15	the	the	DET
ajst-13420	185	16	field	field	NOUN
ajst-13420	185	17	of	of	ADP
ajst-13420	185	18	pcb	pcb	NOUN
ajst-13420	185	19	defect	defect	NOUN
ajst-13420	185	20	detection	detection	NOUN
ajst-13420	185	21	,	,	PUNCT
ajst-13420	185	22	which	which	PRON
ajst-13420	185	23	has	have	VERB
ajst-13420	185	24	important	important	ADJ
ajst-13420	185	25	practical	practical	ADJ
ajst-13420	185	26	significance	significance	NOUN
ajst-13420	185	27	for	for	ADP
ajst-13420	185	28	applications	application	NOUN
ajst-13420	185	29	such	such	ADJ
ajst-13420	185	30	as	as	ADP
ajst-13420	185	31	industrial	industrial	ADJ
ajst-13420	185	32	quality	quality	NOUN
ajst-13420	185	33	inspection	inspection	NOUN
ajst-13420	185	34	and	and	CCONJ
ajst-13420	185	35	automated	automate	VERB
ajst-13420	185	36	production	production	NOUN
ajst-13420	185	37	.	.	PUNCT
ajst-13420	186	1	future	future	ADJ
ajst-13420	186	2	work	work	NOUN
ajst-13420	186	3	can	can	AUX
ajst-13420	186	4	further	far	ADV
ajst-13420	186	5	explore	explore	VERB
ajst-13420	186	6	the	the	DET
ajst-13420	186	7	applicability	applicability	NOUN
ajst-13420	186	8	of	of	ADP
ajst-13420	186	9	the	the	DET
ajst-13420	186	10	model	model	NOUN
ajst-13420	186	11	in	in	ADP
ajst-13420	186	12	wider	wide	ADJ
ajst-13420	186	13	areas	area	NOUN
ajst-13420	186	14	and	and	CCONJ
ajst-13420	186	15	investigate	investigate	VERB
ajst-13420	186	16	how	how	SCONJ
ajst-13420	186	17	to	to	PART
ajst-13420	186	18	further	far	ADV
ajst-13420	186	19	improve	improve	VERB
ajst-13420	186	20	detection	detection	NOUN
ajst-13420	186	21	performance	performance	NOUN
ajst-13420	186	22	and	and	CCONJ
ajst-13420	186	23	efficiency	efficiency	NOUN
ajst-13420	186	24	.	.	PUNCT
ajst-13420	187	1	references	reference	NOUN
ajst-13420	187	2	[	[	X
ajst-13420	187	3	1	1	NUM
ajst-13420	187	4	]	]	SYM
ajst-13420	187	5	hu	hu	PROPN
ajst-13420	187	6	b	b	PROPN
ajst-13420	187	7	,	,	PUNCT
ajst-13420	187	8	wang	wang	PROPN
ajst-13420	187	9	j.	j.	PROPN
ajst-13420	187	10	detection	detection	PROPN
ajst-13420	187	11	of	of	ADP
ajst-13420	187	12	pcb	pcb	NOUN
ajst-13420	187	13	surface	surface	NOUN
ajst-13420	187	14	defects	defect	NOUN
ajst-13420	187	15	with	with	ADP
ajst-13420	187	16	improved	improved	ADJ
ajst-13420	187	17	faster	fast	ADJ
ajst-13420	187	18	-	-	PUNCT
ajst-13420	187	19	rcnn	rcnn	NOUN
ajst-13420	187	20	and	and	CCONJ
ajst-13420	187	21	feature	feature	VERB
ajst-13420	187	22	pyramid	pyramid	NOUN
ajst-13420	187	23	network[j	network[j	PROPN
ajst-13420	187	24	]	]	PUNCT
ajst-13420	187	25	.	.	PUNCT
ajst-13420	188	1	ieee	ieee	NOUN
ajst-13420	188	2	access	access	NOUN
ajst-13420	188	3	,	,	PUNCT
ajst-13420	188	4	2020	2020	NUM
ajst-13420	188	5	,	,	PUNCT
ajst-13420	188	6	8	8	NUM
ajst-13420	188	7	:	:	SYM
ajst-13420	188	8	108335	108335	NUM
ajst-13420	188	9	-	-	SYM
ajst-13420	188	10	108345	108345	NUM
ajst-13420	188	11	.	.	PUNCT
ajst-13420	189	1	[	[	X
ajst-13420	189	2	2	2	X
ajst-13420	189	3	]	]	PUNCT
ajst-13420	189	4	ding	ding	NOUN
ajst-13420	189	5	r	r	NOUN
ajst-13420	189	6	,	,	PUNCT
ajst-13420	189	7	dai	dai	PROPN
ajst-13420	189	8	l	l	PROPN
ajst-13420	189	9	,	,	PUNCT
ajst-13420	189	10	li	li	PROPN
ajst-13420	189	11	g	g	PROPN
ajst-13420	189	12	,	,	PUNCT
ajst-13420	189	13	et	et	PROPN
ajst-13420	189	14	al	al	PROPN
ajst-13420	189	15	.	.	PUNCT
ajst-13420	190	1	tdd‐net	tdd‐net	PROPN
ajst-13420	190	2	:	:	PUNCT
ajst-13420	190	3	a	a	DET
ajst-13420	190	4	tiny	tiny	ADJ
ajst-13420	190	5	defect	defect	NOUN
ajst-13420	190	6	detection	detection	NOUN
ajst-13420	190	7	network	network	NOUN
ajst-13420	190	8	for	for	ADP
ajst-13420	190	9	printed	print	VERB
ajst-13420	190	10	circuit	circuit	NOUN
ajst-13420	190	11	boards[j	boards[j	PROPN
ajst-13420	190	12	]	]	PUNCT
ajst-13420	190	13	.	.	PUNCT
ajst-13420	191	1	caai	caai	PROPN
ajst-13420	191	2	transactions	transaction	NOUN
ajst-13420	191	3	on	on	ADP
ajst-13420	191	4	intelligence	intelligence	NOUN
ajst-13420	191	5	technology	technology	NOUN
ajst-13420	191	6	,	,	PUNCT
ajst-13420	191	7	2019	2019	NUM
ajst-13420	191	8	,	,	PUNCT
ajst-13420	191	9	4(2	4(2	NUM
ajst-13420	191	10	):	):	PUNCT
ajst-13420	191	11	110	110	NUM
ajst-13420	191	12	-	-	SYM
ajst-13420	191	13	116	116	NUM
ajst-13420	191	14	.	.	PUNCT
ajst-13420	192	1	[	[	X
ajst-13420	192	2	3	3	X
ajst-13420	192	3	]	]	X
ajst-13420	192	4	wang	wang	PROPN
ajst-13420	192	5	z	z	PROPN
ajst-13420	192	6	,	,	PUNCT
ajst-13420	192	7	chen	chen	PROPN
ajst-13420	192	8	w	w	PROPN
ajst-13420	192	9	,	,	PUNCT
ajst-13420	192	10	li	li	PROPN
ajst-13420	192	11	t	t	PROPN
ajst-13420	192	12	,	,	PUNCT
ajst-13420	192	13	et	et	PROPN
ajst-13420	192	14	al	al	PROPN
ajst-13420	192	15	.	.	PROPN
ajst-13420	192	16	improved	improve	VERB
ajst-13420	192	17	yolov3	yolov3	PROPN
ajst-13420	192	18	detection	detection	NOUN
ajst-13420	192	19	method	method	NOUN
ajst-13420	192	20	for	for	ADP
ajst-13420	192	21	pcb	pcb	NOUN
ajst-13420	192	22	plug	plug	VERB
ajst-13420	192	23	-	-	PUNCT
ajst-13420	192	24	in	in	ADP
ajst-13420	192	25	solder	solder	NOUN
ajst-13420	192	26	joint	joint	ADJ
ajst-13420	192	27	defects	defect	NOUN
ajst-13420	192	28	based	base	VERB
ajst-13420	192	29	on	on	ADP
ajst-13420	192	30	ordered	order	VERB
ajst-13420	192	31	probability	probability	NOUN
ajst-13420	192	32	density	density	NOUN
ajst-13420	192	33	weighting	weighting	NOUN
ajst-13420	192	34	and	and	CCONJ
ajst-13420	192	35	attention	attention	NOUN
ajst-13420	192	36	mechanism[j	mechanism[j	PROPN
ajst-13420	192	37	]	]	PUNCT
ajst-13420	192	38	.	.	PUNCT
ajst-13420	193	1	ai	ai	PROPN
ajst-13420	193	2	communications	communication	NOUN
ajst-13420	193	3	,	,	PUNCT
ajst-13420	193	4	2022	2022	NUM
ajst-13420	193	5	(	(	PUNCT
ajst-13420	193	6	preprint	preprint	NOUN
ajst-13420	193	7	):	):	PUNCT
ajst-13420	193	8	1	1	NUM
ajst-13420	193	9	-	-	SYM
ajst-13420	193	10	16	16	NUM
ajst-13420	193	11	.	.	PUNCT
ajst-13420	194	1	[	[	X
ajst-13420	194	2	4	4	NUM
ajst-13420	194	3	]	]	X
ajst-13420	194	4	liao	liao	PROPN
ajst-13420	194	5	x	x	PROPN
ajst-13420	194	6	,	,	PUNCT
ajst-13420	194	7	lv	lv	PROPN
ajst-13420	194	8	s	s	PROPN
ajst-13420	194	9	,	,	PUNCT
ajst-13420	194	10	li	li	PROPN
ajst-13420	194	11	d	d	PROPN
ajst-13420	194	12	,	,	PUNCT
ajst-13420	194	13	et	et	PROPN
ajst-13420	194	14	al	al	PROPN
ajst-13420	194	15	.	.	PUNCT
ajst-13420	194	16	yolov4	yolov4	PROPN
ajst-13420	194	17	-	-	PUNCT
ajst-13420	194	18	mn3	mn3	NOUN
ajst-13420	194	19	for	for	ADP
ajst-13420	194	20	pcb	pcb	NOUN
ajst-13420	194	21	surface	surface	NOUN
ajst-13420	194	22	defect	defect	VERB
ajst-13420	194	23	detection[j	detection[j	PROPN
ajst-13420	194	24	]	]	PUNCT
ajst-13420	194	25	.	.	PUNCT
ajst-13420	195	1	applied	apply	VERB
ajst-13420	195	2	sciences	science	NOUN
ajst-13420	195	3	,	,	PUNCT
ajst-13420	195	4	2021	2021	NUM
ajst-13420	195	5	,	,	PUNCT
ajst-13420	195	6	11(24	11(24	NUM
ajst-13420	195	7	):	):	PUNCT
ajst-13420	195	8	11701	11701	NUM
ajst-13420	195	9	.	.	PUNCT
ajst-13420	196	1	[	[	X
ajst-13420	196	2	5	5	NUM
ajst-13420	196	3	]	]	X
ajst-13420	196	4	tang	tang	PROPN
ajst-13420	196	5	j	j	PROPN
ajst-13420	196	6	,	,	PUNCT
ajst-13420	196	7	liu	liu	PROPN
ajst-13420	196	8	s	s	PROPN
ajst-13420	196	9	,	,	PUNCT
ajst-13420	196	10	zhao	zhao	PROPN
ajst-13420	196	11	d	d	PROPN
ajst-13420	196	12	,	,	PUNCT
ajst-13420	196	13	et	et	PROPN
ajst-13420	196	14	al	al	PROPN
ajst-13420	196	15	.	.	PUNCT
ajst-13420	196	16	pcb	pcb	PROPN
ajst-13420	196	17	-	-	PUNCT
ajst-13420	196	18	yolo	yolo	PROPN
ajst-13420	196	19	:	:	PUNCT
ajst-13420	196	20	an	an	DET
ajst-13420	196	21	improved	improved	ADJ
ajst-13420	196	22	detection	detection	NOUN
ajst-13420	196	23	algorithm	algorithm	NOUN
ajst-13420	196	24	of	of	ADP
ajst-13420	196	25	pcb	pcb	NOUN
ajst-13420	196	26	surface	surface	NOUN
ajst-13420	196	27	defects	defect	NOUN
ajst-13420	196	28	based	base	VERB
ajst-13420	196	29	on	on	ADP
ajst-13420	196	30	yolov5[j	yolov5[j	PROPN
ajst-13420	196	31	]	]	PUNCT
ajst-13420	196	32	.	.	PUNCT
ajst-13420	197	1	sustainability	sustainability	NOUN
ajst-13420	197	2	,	,	PUNCT
ajst-13420	197	3	2023	2023	NUM
ajst-13420	197	4	,	,	PUNCT
ajst-13420	197	5	15(7	15(7	NUM
ajst-13420	197	6	):	):	PUNCT
ajst-13420	197	7	5963	5963	NUM
ajst-13420	197	8	.	.	PUNCT
ajst-13420	198	1	[	[	X
ajst-13420	198	2	6	6	NUM
ajst-13420	198	3	]	]	X
ajst-13420	198	4	chen	chen	PROPN
ajst-13420	198	5	b	b	PROPN
ajst-13420	198	6	,	,	PUNCT
ajst-13420	198	7	dang	dang	INTJ
ajst-13420	198	8	z.	z.	PROPN
ajst-13420	198	9	fast	fast	PROPN
ajst-13420	198	10	pcb	pcb	PROPN
ajst-13420	198	11	defect	defect	NOUN
ajst-13420	198	12	detection	detection	NOUN
ajst-13420	198	13	method	method	NOUN
ajst-13420	198	14	based	base	VERB
ajst-13420	198	15	on	on	ADP
ajst-13420	198	16	fasternet	fasternet	NOUN
ajst-13420	198	17	backbone	backbone	NOUN
ajst-13420	198	18	network	network	NOUN
ajst-13420	198	19	and	and	CCONJ
ajst-13420	198	20	cbam	cbam	NOUN
ajst-13420	198	21	attention	attention	NOUN
ajst-13420	198	22	mechanism	mechanism	NOUN
ajst-13420	198	23	integrated	integrate	VERB
ajst-13420	198	24	with	with	ADP
ajst-13420	198	25	feature	feature	NOUN
ajst-13420	198	26	fusion	fusion	NOUN
ajst-13420	198	27	module	module	NOUN
ajst-13420	198	28	in	in	ADP
ajst-13420	198	29	improved	improved	ADJ
ajst-13420	198	30	yolov7[j	yolov7[j	NOUN
ajst-13420	198	31	]	]	PUNCT
ajst-13420	198	32	.	.	PUNCT
ajst-13420	199	1	ieee	ieee	NOUN
ajst-13420	199	2	access	access	NOUN
ajst-13420	199	3	,	,	PUNCT
ajst-13420	199	4	2023	2023	NUM
ajst-13420	199	5	.	.	PUNCT
ajst-13420	200	1	[	[	X
ajst-13420	200	2	7	7	X
ajst-13420	200	3	]	]	X
ajst-13420	200	4	tan	tan	PROPN
ajst-13420	200	5	m	m	PROPN
ajst-13420	200	6	,	,	PUNCT
ajst-13420	200	7	pang	pang	NOUN
ajst-13420	200	8	r	r	NOUN
ajst-13420	200	9	,	,	PUNCT
ajst-13420	200	10	le	le	X
ajst-13420	200	11	q	q	PROPN
ajst-13420	200	12	v.	v.	ADP
ajst-13420	200	13	efficientdet	efficientdet	PROPN
ajst-13420	200	14	:	:	PUNCT
ajst-13420	200	15	scalable	scalable	ADJ
ajst-13420	200	16	and	and	CCONJ
ajst-13420	200	17	efficient	efficient	ADJ
ajst-13420	200	18	object	object	NOUN
ajst-13420	200	19	detection[c]//proceedings	detection[c]//proceeding	NOUN
ajst-13420	200	20	of	of	ADP
ajst-13420	200	21	the	the	DET
ajst-13420	200	22	ieee	ieee	NOUN
ajst-13420	200	23	/	/	SYM
ajst-13420	200	24	cvf	cvf	NOUN
ajst-13420	200	25	conference	conference	NOUN
ajst-13420	200	26	on	on	ADP
ajst-13420	200	27	computer	computer	NOUN
ajst-13420	200	28	vision	vision	NOUN
ajst-13420	200	29	and	and	CCONJ
ajst-13420	200	30	pattern	pattern	NOUN
ajst-13420	200	31	recognition	recognition	NOUN
ajst-13420	200	32	.	.	PUNCT
ajst-13420	201	1	2020	2020	NUM
ajst-13420	201	2	:	:	PUNCT
ajst-13420	201	3	1078110790	1078110790	NUM
ajst-13420	201	4	.	.	PUNCT
ajst-13420	202	1	[	[	X
ajst-13420	202	2	8	8	NUM
ajst-13420	202	3	]	]	X
ajst-13420	202	4	zhang	zhang	PROPN
ajst-13420	202	5	q	q	PROPN
ajst-13420	202	6	l	l	PROPN
ajst-13420	202	7	,	,	PUNCT
ajst-13420	202	8	yang	yang	PROPN
ajst-13420	202	9	y	y	PROPN
ajst-13420	202	10	b.	b.	PROPN
ajst-13420	202	11	sa	sa	PROPN
ajst-13420	202	12	-	-	PUNCT
ajst-13420	202	13	net	net	NOUN
ajst-13420	202	14	:	:	PUNCT
ajst-13420	202	15	shuffle	shuffle	VERB
ajst-13420	202	16	attention	attention	NOUN
ajst-13420	202	17	for	for	ADP
ajst-13420	202	18	deep	deep	ADJ
ajst-13420	202	19	convolutional	convolutional	ADJ
ajst-13420	202	20	neural	neural	ADJ
ajst-13420	202	21	networks[c]//icassp	networks[c]//icassp	PROPN
ajst-13420	202	22	2021	2021	NUM
ajst-13420	202	23	-	-	SYM
ajst-13420	202	24	2021	2021	NUM
ajst-13420	202	25	ieee	ieee	NOUN
ajst-13420	202	26	international	international	ADJ
ajst-13420	202	27	conference	conference	NOUN
ajst-13420	202	28	on	on	ADP
ajst-13420	202	29	acoustics	acoustic	NOUN
ajst-13420	202	30	,	,	PUNCT
ajst-13420	202	31	speech	speech	NOUN
ajst-13420	202	32	and	and	CCONJ
ajst-13420	202	33	signal	signal	NOUN
ajst-13420	202	34	processing	processing	NOUN
ajst-13420	202	35	(	(	PUNCT
ajst-13420	202	36	icassp	icassp	PROPN
ajst-13420	202	37	)	)	PUNCT
ajst-13420	202	38	.	.	PUNCT
ajst-13420	203	1	ieee	ieee	NOUN
ajst-13420	203	2	,	,	PUNCT
ajst-13420	203	3	2021	2021	NUM
ajst-13420	203	4	:	:	PUNCT
ajst-13420	203	5	2235	2235	NUM
ajst-13420	203	6	-	-	SYM
ajst-13420	203	7	2239	2239	NUM
ajst-13420	203	8	.	.	PUNCT
ajst-13420	204	1	304	304	NUM
ajst-13420	205	1	[	[	X
ajst-13420	205	2	9	9	NUM
ajst-13420	205	3	]	]	PUNCT
ajst-13420	205	4	tong	tong	PROPN
ajst-13420	205	5	z	z	PROPN
ajst-13420	205	6	,	,	PUNCT
ajst-13420	205	7	chen	chen	PROPN
ajst-13420	205	8	y	y	PROPN
ajst-13420	205	9	,	,	PUNCT
ajst-13420	205	10	xu	xu	PROPN
ajst-13420	206	1	z	z	X
ajst-13420	206	2	,	,	PUNCT
ajst-13420	206	3	et	et	PROPN
ajst-13420	206	4	al	al	PROPN
ajst-13420	206	5	.	.	PUNCT
ajst-13420	207	1	wise	wise	ADJ
ajst-13420	207	2	-	-	PUNCT
ajst-13420	207	3	iou	iou	NOUN
ajst-13420	207	4	:	:	PUNCT
ajst-13420	207	5	bounding	bound	VERB
ajst-13420	207	6	box	box	NOUN
ajst-13420	207	7	regression	regression	NOUN
ajst-13420	207	8	loss	loss	NOUN
ajst-13420	207	9	with	with	ADP
ajst-13420	207	10	dynamic	dynamic	ADJ
ajst-13420	207	11	focusing	focus	VERB
ajst-13420	207	12	mechanism[j	mechanism[j	PROPN
ajst-13420	207	13	]	]	PUNCT
ajst-13420	207	14	.	.	PUNCT
ajst-13420	208	1	arxiv	arxiv	PROPN
ajst-13420	208	2	preprint	preprint	PROPN
ajst-13420	208	3	arxiv:2301.10051	arxiv:2301.10051	PROPN
ajst-13420	208	4	,	,	PUNCT
ajst-13420	208	5	2023	2023	NUM
ajst-13420	208	6	.	.	PUNCT
ajst-13420	209	1	[	[	X
ajst-13420	209	2	10	10	NUM
ajst-13420	209	3	]	]	X
ajst-13420	209	4	redmon	redmon	PROPN
ajst-13420	209	5	j	j	PROPN
ajst-13420	209	6	,	,	PUNCT
ajst-13420	209	7	farhadi	farhadi	PROPN
ajst-13420	209	8	a.	a.	PROPN
ajst-13420	209	9	yolov3	yolov3	PROPN
ajst-13420	209	10	:	:	PUNCT
ajst-13420	210	1	an	an	DET
ajst-13420	210	2	incremental	incremental	ADJ
ajst-13420	210	3	improvement[j	improvement[j	NOUN
ajst-13420	210	4	]	]	PUNCT
ajst-13420	210	5	.	.	PUNCT
ajst-13420	211	1	arxiv	arxiv	PROPN
ajst-13420	211	2	preprint	preprint	VERB
ajst-13420	211	3	arxiv:1804.02767	arxiv:1804.02767	PROPN
ajst-13420	211	4	,	,	PUNCT
ajst-13420	211	5	2018	2018	NUM
ajst-13420	211	6	.	.	PUNCT
ajst-13420	212	1	[	[	X
ajst-13420	212	2	11	11	NUM
ajst-13420	212	3	]	]	PUNCT
ajst-13420	212	4	bochkovskiy	bochkovskiy	X
ajst-13420	212	5	a	a	PRON
ajst-13420	212	6	,	,	PUNCT
ajst-13420	212	7	wang	wang	PROPN
ajst-13420	212	8	c	c	PROPN
ajst-13420	212	9	y	y	PROPN
ajst-13420	212	10	,	,	PUNCT
ajst-13420	212	11	liao	liao	PROPN
ajst-13420	212	12	h	h	PROPN
ajst-13420	212	13	y	y	PROPN
ajst-13420	212	14	m.	m.	PROPN
ajst-13420	212	15	yolov4	yolov4	PROPN
ajst-13420	212	16	:	:	PUNCT
ajst-13420	212	17	optimal	optimal	ADJ
ajst-13420	212	18	speed	speed	NOUN
ajst-13420	212	19	and	and	CCONJ
ajst-13420	212	20	accuracy	accuracy	NOUN
ajst-13420	212	21	of	of	ADP
ajst-13420	212	22	object	object	NOUN
ajst-13420	212	23	detection[j	detection[j	PROPN
ajst-13420	212	24	]	]	PUNCT
ajst-13420	212	25	.	.	PUNCT
ajst-13420	213	1	arxiv	arxiv	PROPN
ajst-13420	213	2	preprint	preprint	NOUN
ajst-13420	213	3	arxiv:2004.10934	arxiv:2004.10934	NOUN
ajst-13420	213	4	,	,	PUNCT
ajst-13420	213	5	2020	2020	NUM
ajst-13420	213	6	.	.	PUNCT
ajst-13420	214	1	[	[	X
ajst-13420	214	2	12	12	NUM
ajst-13420	214	3	]	]	X
ajst-13420	214	4	ge	ge	PROPN
ajst-13420	214	5	z	z	PROPN
ajst-13420	214	6	,	,	PUNCT
ajst-13420	214	7	liu	liu	PROPN
ajst-13420	214	8	s	s	PROPN
ajst-13420	214	9	,	,	PUNCT
ajst-13420	214	10	wang	wang	PROPN
ajst-13420	214	11	f	f	PROPN
ajst-13420	214	12	,	,	PUNCT
ajst-13420	214	13	et	et	PROPN
ajst-13420	214	14	al	al	PROPN
ajst-13420	214	15	.	.	PROPN
ajst-13420	214	16	yolox	yolox	PROPN
ajst-13420	214	17	:	:	PUNCT
ajst-13420	214	18	exceeding	exceed	VERB
ajst-13420	214	19	yolo	yolo	ADJ
ajst-13420	214	20	series	series	NOUN
ajst-13420	214	21	in	in	ADP
ajst-13420	214	22	2021[j	2021[j	NUM
ajst-13420	214	23	]	]	PUNCT
ajst-13420	214	24	.	.	PUNCT
ajst-13420	215	1	arxiv	arxiv	PROPN
ajst-13420	215	2	preprint	preprint	NOUN
ajst-13420	215	3	arxiv:2107.08430	arxiv:2107.08430	PROPN
ajst-13420	215	4	,	,	PUNCT
ajst-13420	215	5	2021	2021	NUM
ajst-13420	215	6	.	.	PUNCT
ajst-13420	216	1	[	[	X
ajst-13420	216	2	13	13	NUM
ajst-13420	216	3	]	]	X
ajst-13420	216	4	li	li	PROPN
ajst-13420	216	5	c	c	PROPN
ajst-13420	216	6	,	,	PUNCT
ajst-13420	216	7	li	li	PROPN
ajst-13420	216	8	l	l	PROPN
ajst-13420	216	9	,	,	PUNCT
ajst-13420	216	10	jiang	jiang	PROPN
ajst-13420	216	11	h	h	PROPN
ajst-13420	216	12	,	,	PUNCT
ajst-13420	216	13	et	et	PROPN
ajst-13420	216	14	al	al	PROPN
ajst-13420	216	15	.	.	PROPN
ajst-13420	216	16	yolov6	yolov6	PROPN
ajst-13420	216	17	:	:	PUNCT
ajst-13420	216	18	a	a	DET
ajst-13420	216	19	single	single	ADJ
ajst-13420	216	20	-	-	PUNCT
ajst-13420	216	21	stage	stage	NOUN
ajst-13420	216	22	object	object	NOUN
ajst-13420	216	23	detection	detection	NOUN
ajst-13420	216	24	framework	framework	NOUN
ajst-13420	216	25	for	for	ADP
ajst-13420	216	26	industrial	industrial	ADJ
ajst-13420	216	27	applications[j	applications[j	NOUN
ajst-13420	216	28	]	]	PUNCT
ajst-13420	216	29	.	.	PUNCT
ajst-13420	217	1	arxiv	arxiv	PROPN
ajst-13420	217	2	preprint	preprint	NOUN
ajst-13420	217	3	arxiv:2209.02976	arxiv:2209.02976	NOUN
ajst-13420	217	4	,	,	PUNCT
ajst-13420	217	5	2022	2022	NUM
ajst-13420	217	6	.	.	PUNCT
ajst-13420	218	1	[	[	X
ajst-13420	218	2	14	14	NUM
ajst-13420	218	3	]	]	X
ajst-13420	218	4	wang	wang	PROPN
ajst-13420	218	5	c	c	PROPN
ajst-13420	218	6	y	y	PROPN
ajst-13420	218	7	,	,	PUNCT
ajst-13420	218	8	bochkovskiy	bochkovskiy	VERB
ajst-13420	218	9	a	a	PRON
ajst-13420	218	10	,	,	PUNCT
ajst-13420	218	11	liao	liao	PROPN
ajst-13420	218	12	h	h	PROPN
ajst-13420	218	13	y	y	PROPN
ajst-13420	218	14	m.	m.	NOUN
ajst-13420	218	15	yolov7	yolov7	NOUN
ajst-13420	218	16	:	:	PUNCT
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ajst-13420	218	18	bag	bag	NOUN
ajst-13420	218	19	-	-	PUNCT
ajst-13420	218	20	of	of	ADP
ajst-13420	218	21	-	-	PUNCT
ajst-13420	218	22	freebies	freebie	NOUN
ajst-13420	218	23	sets	set	VERB
ajst-13420	218	24	new	new	ADJ
ajst-13420	218	25	state	state	NOUN
ajst-13420	218	26	-	-	PUNCT
ajst-13420	218	27	of	of	ADP
ajst-13420	218	28	-	-	PUNCT
ajst-13420	218	29	the	the	DET
ajst-13420	218	30	-	-	PUNCT
ajst-13420	218	31	art	art	NOUN
ajst-13420	218	32	for	for	ADP
ajst-13420	218	33	real	real	ADJ
ajst-13420	218	34	-	-	PUNCT
ajst-13420	218	35	time	time	NOUN
ajst-13420	218	36	object	object	NOUN
ajst-13420	218	37	detectors[c]//proceedings	detectors[c]//proceeding	NOUN
ajst-13420	218	38	of	of	ADP
ajst-13420	218	39	the	the	DET
ajst-13420	218	40	ieee	ieee	NOUN
ajst-13420	218	41	/	/	SYM
ajst-13420	218	42	cvf	cvf	NOUN
ajst-13420	218	43	conference	conference	NOUN
ajst-13420	218	44	on	on	ADP
ajst-13420	218	45	computer	computer	NOUN
ajst-13420	218	46	vision	vision	NOUN
ajst-13420	218	47	and	and	CCONJ
ajst-13420	218	48	pattern	pattern	NOUN
ajst-13420	218	49	recognition	recognition	NOUN
ajst-13420	218	50	.	.	PUNCT
ajst-13420	219	1	2023	2023	NUM
ajst-13420	219	2	:	:	PUNCT
ajst-13420	219	3	7464	7464	NUM
ajst-13420	219	4	-	-	SYM
ajst-13420	219	5	7475	7475	NUM
ajst-13420	219	6	.	.	PUNCT
ajst-13420	220	1	[	[	X
ajst-13420	220	2	15	15	NUM
ajst-13420	220	3	]	]	X
ajst-13420	220	4	hu	hu	PROPN
ajst-13420	220	5	j	j	PROPN
ajst-13420	220	6	,	,	PUNCT
ajst-13420	220	7	shen	shen	PROPN
ajst-13420	220	8	l	l	PROPN
ajst-13420	220	9	,	,	PUNCT
ajst-13420	220	10	sun	sun	PROPN
ajst-13420	220	11	g.	g.	PROPN
ajst-13420	220	12	squeeze	squeeze	PROPN
ajst-13420	220	13	-	-	PUNCT
ajst-13420	220	14	and	and	CCONJ
ajst-13420	220	15	-	-	PUNCT
ajst-13420	220	16	excitation	excitation	NOUN
ajst-13420	220	17	networks[c]//proceedings	networks[c]//proceeding	NOUN
ajst-13420	220	18	of	of	ADP
ajst-13420	220	19	the	the	DET
ajst-13420	220	20	ieee	ieee	NOUN
ajst-13420	220	21	conference	conference	NOUN
ajst-13420	220	22	on	on	ADP
ajst-13420	220	23	computer	computer	NOUN
ajst-13420	220	24	vision	vision	NOUN
ajst-13420	220	25	and	and	CCONJ
ajst-13420	220	26	pattern	pattern	NOUN
ajst-13420	220	27	recognition	recognition	NOUN
ajst-13420	220	28	.	.	PUNCT
ajst-13420	221	1	2018	2018	NUM
ajst-13420	221	2	:	:	PUNCT
ajst-13420	221	3	7132	7132	NUM
ajst-13420	221	4	-	-	SYM
ajst-13420	221	5	7141	7141	NUM
ajst-13420	221	6	.	.	PUNCT
ajst-13420	222	1	[	[	X
ajst-13420	222	2	16	16	NUM
ajst-13420	222	3	]	]	X
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ajst-13420	222	5	s	s	PROPN
ajst-13420	222	6	,	,	PUNCT
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ajst-13420	222	8	l	l	NOUN
ajst-13420	222	9	,	,	PUNCT
ajst-13420	222	10	qin	qin	PROPN
ajst-13420	222	11	h	h	PROPN
ajst-13420	222	12	,	,	PUNCT
ajst-13420	222	13	et	et	PROPN
ajst-13420	222	14	al	al	PROPN
ajst-13420	222	15	.	.	PROPN
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ajst-13420	222	18	network	network	NOUN
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ajst-13420	222	20	instance	instance	NOUN
ajst-13420	222	21	segmentation[c]//proceedings	segmentation[c]//proceeding	NOUN
ajst-13420	222	22	of	of	ADP
ajst-13420	222	23	the	the	DET
ajst-13420	222	24	ieee	ieee	NOUN
ajst-13420	222	25	conference	conference	NOUN
ajst-13420	222	26	on	on	ADP
ajst-13420	222	27	computer	computer	NOUN
ajst-13420	222	28	vision	vision	NOUN
ajst-13420	222	29	and	and	CCONJ
ajst-13420	222	30	pattern	pattern	NOUN
ajst-13420	222	31	recognition	recognition	NOUN
ajst-13420	222	32	.	.	PUNCT
ajst-13420	223	1	2018	2018	NUM
ajst-13420	223	2	:	:	PUNCT
ajst-13420	223	3	8759	8759	NUM
ajst-13420	223	4	-	-	SYM
ajst-13420	223	5	8768	8768	NUM
ajst-13420	223	6	.	.	PUNCT
ajst-13420	224	1	[	[	X
ajst-13420	224	2	17	17	NUM
ajst-13420	224	3	]	]	X
ajst-13420	224	4	liu	liu	PROPN
ajst-13420	224	5	s	s	PROPN
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ajst-13420	224	9	,	,	PUNCT
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ajst-13420	224	11	h	h	PROPN
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ajst-13420	224	13	et	et	PROPN
ajst-13420	224	14	al	al	PROPN
ajst-13420	224	15	.	.	PROPN
ajst-13420	224	16	path	path	PROPN
ajst-13420	224	17	aggregation	aggregation	NOUN
ajst-13420	224	18	network	network	NOUN
ajst-13420	224	19	for	for	ADP
ajst-13420	224	20	instance	instance	NOUN
ajst-13420	224	21	segmentation[c]//proceedings	segmentation[c]//proceeding	NOUN
ajst-13420	224	22	of	of	ADP
ajst-13420	224	23	the	the	DET
ajst-13420	224	24	ieee	ieee	NOUN
ajst-13420	224	25	conference	conference	NOUN
ajst-13420	224	26	on	on	ADP
ajst-13420	224	27	computer	computer	NOUN
ajst-13420	224	28	vision	vision	NOUN
ajst-13420	224	29	and	and	CCONJ
ajst-13420	224	30	pattern	pattern	NOUN
ajst-13420	224	31	recognition	recognition	NOUN
ajst-13420	224	32	.	.	PUNCT
ajst-13420	225	1	2018	2018	NUM
ajst-13420	225	2	:	:	PUNCT
ajst-13420	225	3	8759	8759	NUM
ajst-13420	225	4	-	-	SYM
ajst-13420	225	5	8768	8768	NUM
ajst-13420	225	6	.	.	PUNCT
ajst-13420	226	1	[	[	X
ajst-13420	226	2	18	18	NUM
ajst-13420	226	3	]	]	X
ajst-13420	226	4	zheng	zheng	PROPN
ajst-13420	226	5	z	z	PROPN
ajst-13420	226	6	,	,	PUNCT
ajst-13420	226	7	wang	wang	PROPN
ajst-13420	226	8	p	p	PROPN
ajst-13420	226	9	,	,	PUNCT
ajst-13420	226	10	liu	liu	PROPN
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ajst-13420	226	13	et	et	PROPN
ajst-13420	226	14	al	al	PROPN
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ajst-13420	226	17	-	-	PUNCT
ajst-13420	226	18	iou	iou	NOUN
ajst-13420	226	19	loss	loss	NOUN
ajst-13420	226	20	:	:	PUNCT
ajst-13420	226	21	faster	fast	ADJ
ajst-13420	226	22	and	and	CCONJ
ajst-13420	226	23	better	well	ADV
ajst-13420	226	24	learning	learn	VERB
ajst-13420	226	25	for	for	ADP
ajst-13420	226	26	bounding	bound	VERB
ajst-13420	226	27	box	box	PROPN
ajst-13420	226	28	regression[c]//proceedings	regression[c]//proceedings	PROPN
ajst-13420	226	29	of	of	ADP
ajst-13420	226	30	the	the	DET
ajst-13420	226	31	aaai	aaai	PROPN
ajst-13420	226	32	conference	conference	NOUN
ajst-13420	226	33	on	on	ADP
ajst-13420	226	34	artificial	artificial	ADJ
ajst-13420	226	35	intelligence	intelligence	NOUN
ajst-13420	226	36	.	.	PUNCT
ajst-13420	227	1	2020	2020	NUM
ajst-13420	227	2	,	,	PUNCT
ajst-13420	227	3	34(07	34(07	NUM
ajst-13420	227	4	):	):	PUNCT
ajst-13420	227	5	12993	12993	NUM
ajst-13420	227	6	-	-	SYM
ajst-13420	227	7	13000	13000	NUM
ajst-13420	227	8	.	.	PUNCT
ajst-13420	228	1	[	[	X
ajst-13420	228	2	19	19	NUM
ajst-13420	228	3	]	]	X
ajst-13420	228	4	zhang	zhang	PROPN
ajst-13420	228	5	y	y	PROPN
ajst-13420	228	6	f	f	PROPN
ajst-13420	228	7	,	,	PUNCT
ajst-13420	228	8	ren	ren	PROPN
ajst-13420	228	9	w	w	PROPN
ajst-13420	228	10	,	,	PUNCT
ajst-13420	228	11	zhang	zhang	PROPN
ajst-13420	228	12	z	z	PROPN
ajst-13420	228	13	,	,	PUNCT
ajst-13420	228	14	et	et	PROPN
ajst-13420	228	15	al	al	PROPN
ajst-13420	228	16	.	.	PROPN
ajst-13420	228	17	focal	focal	ADJ
ajst-13420	228	18	and	and	CCONJ
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ajst-13420	228	20	iou	iou	NOUN
ajst-13420	228	21	loss	loss	NOUN
ajst-13420	228	22	for	for	ADP
ajst-13420	228	23	accurate	accurate	ADJ
ajst-13420	228	24	bounding	bounding	NOUN
ajst-13420	228	25	box	box	NOUN
ajst-13420	228	26	regression[j	regression[j	PROPN
ajst-13420	228	27	]	]	PUNCT
ajst-13420	228	28	.	.	PUNCT
ajst-13420	229	1	neurocomputing	neurocomputing	NOUN
ajst-13420	229	2	,	,	PUNCT
ajst-13420	229	3	2022	2022	NUM
ajst-13420	229	4	,	,	PUNCT
ajst-13420	229	5	506	506	NUM
ajst-13420	229	6	:	:	PUNCT
ajst-13420	229	7	146	146	NUM
ajst-13420	229	8	-	-	SYM
ajst-13420	229	9	157	157	NUM
ajst-13420	229	10	.	.	PUNCT
ajst-13420	230	1	[	[	X
ajst-13420	230	2	20	20	NUM
ajst-13420	230	3	]	]	PUNCT
ajst-13420	230	4	rezatofighi	rezatofighi	PROPN
ajst-13420	230	5	h	h	PROPN
ajst-13420	230	6	,	,	PUNCT
ajst-13420	230	7	tsoi	tsoi	PROPN
ajst-13420	230	8	n	n	CCONJ
ajst-13420	230	9	,	,	PUNCT
ajst-13420	230	10	gwak	gwak	PROPN
ajst-13420	230	11	j	j	PROPN
ajst-13420	230	12	y	y	PROPN
ajst-13420	230	13	,	,	PUNCT
ajst-13420	230	14	et	et	PROPN
ajst-13420	230	15	al	al	PROPN
ajst-13420	230	16	.	.	PROPN
ajst-13420	230	17	generalized	generalized	ADJ
ajst-13420	230	18	intersection	intersection	NOUN
ajst-13420	230	19	over	over	ADP
ajst-13420	230	20	union	union	NOUN
ajst-13420	230	21	:	:	PUNCT
ajst-13420	230	22	a	a	DET
ajst-13420	230	23	metric	metric	ADJ
ajst-13420	230	24	and	and	CCONJ
ajst-13420	230	25	a	a	DET
ajst-13420	230	26	loss	loss	NOUN
ajst-13420	230	27	for	for	ADP
ajst-13420	230	28	bounding	bound	VERB
ajst-13420	230	29	box	box	PROPN
ajst-13420	230	30	regression[c]//proceedings	regression[c]//proceedings	PROPN
ajst-13420	230	31	of	of	ADP
ajst-13420	230	32	the	the	DET
ajst-13420	230	33	ieee	ieee	NOUN
ajst-13420	230	34	/	/	SYM
ajst-13420	230	35	cvf	cvf	NOUN
ajst-13420	230	36	conference	conference	NOUN
ajst-13420	230	37	on	on	ADP
ajst-13420	230	38	computer	computer	NOUN
ajst-13420	230	39	vision	vision	NOUN
ajst-13420	230	40	and	and	CCONJ
ajst-13420	230	41	pattern	pattern	NOUN
ajst-13420	230	42	recognition	recognition	NOUN
ajst-13420	230	43	.	.	PUNCT
ajst-13420	231	1	2019	2019	NUM
ajst-13420	231	2	:	:	PUNCT
ajst-13420	231	3	658	658	NUM
ajst-13420	231	4	-	-	SYM
ajst-13420	231	5	666	666	NUM
ajst-13420	231	6	.	.	PUNCT
ajst-13420	232	1	[	[	X
ajst-13420	232	2	21	21	NUM
ajst-13420	232	3	]	]	X
ajst-13420	232	4	gevorgyan	gevorgyan	PROPN
ajst-13420	232	5	z.	z.	PROPN
ajst-13420	232	6	siou	siou	PROPN
ajst-13420	232	7	loss	loss	NOUN
ajst-13420	232	8	:	:	PUNCT
ajst-13420	232	9	more	more	ADV
ajst-13420	232	10	powerful	powerful	ADJ
ajst-13420	232	11	learning	learn	VERB
ajst-13420	232	12	for	for	ADP
ajst-13420	232	13	bounding	bound	VERB
ajst-13420	232	14	box	box	NOUN
ajst-13420	232	15	regression[j	regression[j	PROPN
ajst-13420	232	16	]	]	PUNCT
ajst-13420	232	17	.	.	PUNCT
ajst-13420	233	1	arxiv	arxiv	PROPN
ajst-13420	233	2	preprint	preprint	VERB
ajst-13420	233	3	arxiv:2205.12740	arxiv:2205.12740	NOUN
ajst-13420	233	4	,	,	PUNCT
ajst-13420	233	5	2022	2022	NUM
ajst-13420	233	6	.	.	PUNCT
ajst-13420	234	1	[	[	X
ajst-13420	234	2	22	22	NUM
ajst-13420	234	3	]	]	X
ajst-13420	234	4	lin	lin	PROPN
ajst-13420	234	5	t	t	PROPN
ajst-13420	234	6	y	y	PROPN
ajst-13420	234	7	,	,	PUNCT
ajst-13420	234	8	goyal	goyal	PROPN
ajst-13420	234	9	p	p	NOUN
ajst-13420	234	10	,	,	PUNCT
ajst-13420	234	11	girshick	girshick	ADJ
ajst-13420	234	12	r	r	NOUN
ajst-13420	234	13	,	,	PUNCT
ajst-13420	234	14	et	et	PROPN
ajst-13420	234	15	al	al	PROPN
ajst-13420	234	16	.	.	PROPN
ajst-13420	234	17	focal	focal	ADJ
ajst-13420	234	18	loss	loss	NOUN
ajst-13420	234	19	for	for	ADP
ajst-13420	234	20	dense	dense	ADJ
ajst-13420	234	21	object	object	NOUN
ajst-13420	234	22	detection[c]//proceedings	detection[c]//proceeding	NOUN
ajst-13420	234	23	of	of	ADP
ajst-13420	234	24	the	the	DET
ajst-13420	234	25	ieee	ieee	NOUN
ajst-13420	234	26	international	international	PROPN
ajst-13420	234	27	conference	conference	NOUN
ajst-13420	234	28	on	on	ADP
ajst-13420	234	29	computer	computer	NOUN
ajst-13420	234	30	vision	vision	NOUN
ajst-13420	234	31	.	.	PUNCT
ajst-13420	235	1	2017	2017	NUM
ajst-13420	235	2	:	:	PUNCT
ajst-13420	235	3	2980	2980	NUM
ajst-13420	235	4	-	-	SYM
ajst-13420	235	5	2988	2988	NUM
ajst-13420	235	6	.	.	PUNCT
ajst-13420	236	1	[	[	X
ajst-13420	236	2	23	23	NUM
ajst-13420	236	3	]	]	X
ajst-13420	236	4	liu	liu	PROPN
ajst-13420	236	5	w	w	PROPN
ajst-13420	236	6	,	,	PUNCT
ajst-13420	236	7	anguelov	anguelov	NOUN
ajst-13420	236	8	d	d	NOUN
ajst-13420	236	9	,	,	PUNCT
ajst-13420	236	10	erhan	erhan	ADP
ajst-13420	236	11	d	d	PROPN
ajst-13420	236	12	,	,	PUNCT
ajst-13420	236	13	et	et	PROPN
ajst-13420	236	14	al	al	PROPN
ajst-13420	236	15	.	.	PROPN
ajst-13420	236	16	ssd	ssd	PROPN
ajst-13420	236	17	:	:	PUNCT
ajst-13420	236	18	single	single	ADJ
ajst-13420	236	19	shot	shot	PROPN
ajst-13420	236	20	multibox	multibox	PROPN
ajst-13420	236	21	detector[c]//computer	detector[c]//computer	PROPN
ajst-13420	236	22	vision	vision	NOUN
ajst-13420	236	23	–	–	PUNCT
ajst-13420	236	24	eccv	eccv	NOUN
ajst-13420	236	25	2016	2016	NUM
ajst-13420	236	26	:	:	PUNCT
ajst-13420	236	27	14th	14th	ADJ
ajst-13420	236	28	european	european	ADJ
ajst-13420	236	29	conference	conference	PROPN
ajst-13420	236	30	,	,	PUNCT
ajst-13420	236	31	amsterdam	amsterdam	PROPN
ajst-13420	236	32	,	,	PUNCT
ajst-13420	236	33	the	the	DET
ajst-13420	236	34	netherlands	netherlands	PROPN
ajst-13420	236	35	,	,	PUNCT
ajst-13420	236	36	october	october	PROPN
ajst-13420	236	37	11–14	11–14	NUM
ajst-13420	236	38	,	,	PUNCT
ajst-13420	236	39	2016	2016	NUM
ajst-13420	236	40	,	,	PUNCT
ajst-13420	236	41	proceedings	proceeding	NOUN
ajst-13420	236	42	,	,	PUNCT
ajst-13420	236	43	part	part	NOUN
ajst-13420	236	44	i	i	PRON
ajst-13420	236	45	14	14	NUM
ajst-13420	236	46	.	.	PUNCT
ajst-13420	237	1	springer	springer	NOUN
ajst-13420	237	2	international	international	ADJ
ajst-13420	237	3	publishing	publishing	NOUN
ajst-13420	237	4	,	,	PUNCT
ajst-13420	237	5	2016	2016	NUM
ajst-13420	237	6	:	:	PUNCT
ajst-13420	237	7	21	21	NUM
ajst-13420	237	8	-	-	SYM
ajst-13420	237	9	37	37	NUM
ajst-13420	237	10	.	.	PUNCT