id	sid	tid	token	lemma	pos
fcis-31913	1	1	frontiers	frontier	NOUN
fcis-31913	1	2	in	in	ADP
fcis-31913	1	3	computing	computing	NOUN
fcis-31913	1	4	and	and	CCONJ
fcis-31913	1	5	intelligent	intelligent	ADJ
fcis-31913	1	6	systems	system	NOUN
fcis-31913	1	7	issn	issn	VERB
fcis-31913	1	8	:	:	PUNCT
fcis-31913	1	9	2832	2832	NUM
fcis-31913	1	10	-	-	SYM
fcis-31913	1	11	6024	6024	NUM
fcis-31913	1	12	|	|	NOUN
fcis-31913	1	13	vol	vol	NOUN
fcis-31913	1	14	.	.	PROPN
fcis-31913	2	1	13	13	NUM
fcis-31913	2	2	,	,	PUNCT
fcis-31913	2	3	no	no	INTJ
fcis-31913	2	4	.	.	NOUN
fcis-31913	2	5	3	3	NUM
fcis-31913	2	6	,	,	PUNCT
fcis-31913	2	7	2025	2025	NUM
fcis-31913	2	8	50	50	NUM
fcis-31913	2	9	research	research	NOUN
fcis-31913	2	10	on	on	ADP
fcis-31913	2	11	wood	wood	NOUN
fcis-31913	2	12	defect	defect	NOUN
fcis-31913	2	13	detection	detection	NOUN
fcis-31913	2	14	algorithms	algorithm	NOUN
fcis-31913	2	15	based	base	VERB
fcis-31913	2	16	on	on	ADP
fcis-31913	2	17	improved	improve	VERB
fcis-31913	2	18	neural	neural	ADJ
fcis-31913	2	19	yuan	yuan	NOUN
fcis-31913	2	20	zhang	zhang	PROPN
fcis-31913	2	21	1	1	NUM
fcis-31913	2	22	,	,	PUNCT
fcis-31913	2	23	a	a	PRON
fcis-31913	2	24	,	,	PUNCT
fcis-31913	2	25	xuewen	xuewen	PROPN
fcis-31913	2	26	ding	de	VERB
fcis-31913	2	27	1	1	NUM
fcis-31913	2	28	,	,	PUNCT
fcis-31913	2	29	2	2	NUM
fcis-31913	2	30	,	,	PUNCT
fcis-31913	2	31	*	*	PUNCT
fcis-31913	2	32	,	,	PUNCT
fcis-31913	2	33	xiaokai	xiaokai	PROPN
fcis-31913	2	34	jiang	jiang	PROPN
fcis-31913	2	35	1	1	NUM
fcis-31913	2	36	,	,	PUNCT
fcis-31913	2	37	shaosai	shaosai	PROPN
fcis-31913	2	38	wang	wang	PROPN
fcis-31913	2	39	1	1	NUM
fcis-31913	2	40	1	1	NUM
fcis-31913	2	41	school	school	NOUN
fcis-31913	2	42	of	of	ADP
fcis-31913	2	43	electronic	electronic	ADJ
fcis-31913	2	44	engineering	engineering	NOUN
fcis-31913	2	45	,	,	PUNCT
fcis-31913	2	46	tianjin	tianjin	PROPN
fcis-31913	2	47	university	university	PROPN
fcis-31913	2	48	of	of	ADP
fcis-31913	2	49	technology	technology	NOUN
fcis-31913	2	50	and	and	CCONJ
fcis-31913	2	51	education	education	NOUN
fcis-31913	2	52	,	,	PUNCT
fcis-31913	2	53	tianjin	tianjin	PROPN
fcis-31913	2	54	300222	300222	NUM
fcis-31913	2	55	,	,	PUNCT
fcis-31913	2	56	china	china	PROPN
fcis-31913	2	57	2	2	NUM
fcis-31913	2	58	tianjin	tianjin	PROPN
fcis-31913	2	59	yunzhitong	yunzhitong	PROPN
fcis-31913	2	60	technology	technology	PROPN
fcis-31913	2	61	co.	co.	PROPN
fcis-31913	2	62	,	,	PUNCT
fcis-31913	2	63	ltd	ltd	PROPN
fcis-31913	2	64	.	.	PROPN
fcis-31913	2	65	,	,	PUNCT
fcis-31913	2	66	tianjin	tianjin	PROPN
fcis-31913	2	67	300350	300350	NUM
fcis-31913	2	68	,	,	PUNCT
fcis-31913	2	69	china	china	PROPN
fcis-31913	2	70	*	*	PUNCT
fcis-31913	2	71	corresponding	correspond	VERB
fcis-31913	2	72	author	author	NOUN
fcis-31913	2	73	:	:	PUNCT
fcis-31913	2	74	xuewen	xuewen	PROPN
fcis-31913	2	75	ding	ding	PROPN
fcis-31913	2	76	(	(	PUNCT
fcis-31913	2	77	email	email	NOUN
fcis-31913	2	78	:	:	PUNCT
fcis-31913	2	79	dingxw@tute.edu.cn	dingxw@tute.edu.cn	NOUN
fcis-31913	2	80	)	)	PUNCT
fcis-31913	2	81	,	,	PUNCT
fcis-31913	2	82	a	a	DET
fcis-31913	2	83	zy_514@163.com	zy_514@163.com	PROPN
fcis-31913	2	84	abstract	abstract	NOUN
fcis-31913	2	85	:	:	PUNCT
fcis-31913	2	86	to	to	PART
fcis-31913	2	87	address	address	VERB
fcis-31913	2	88	the	the	DET
fcis-31913	2	89	challenges	challenge	NOUN
fcis-31913	2	90	of	of	ADP
fcis-31913	2	91	complex	complex	ADJ
fcis-31913	2	92	texture	texture	ADJ
fcis-31913	2	93	interference	interference	NOUN
fcis-31913	2	94	and	and	CCONJ
fcis-31913	2	95	the	the	DET
fcis-31913	2	96	difficulty	difficulty	NOUN
fcis-31913	2	97	of	of	ADP
fcis-31913	2	98	detecting	detect	VERB
fcis-31913	2	99	small	small	ADJ
fcis-31913	2	100	-	-	PUNCT
fcis-31913	2	101	scale	scale	NOUN
fcis-31913	2	102	defects	defect	NOUN
fcis-31913	2	103	on	on	ADP
fcis-31913	2	104	wood	wood	NOUN
fcis-31913	2	105	surfaces	surface	NOUN
fcis-31913	2	106	,	,	PUNCT
fcis-31913	2	107	this	this	DET
fcis-31913	2	108	study	study	NOUN
fcis-31913	2	109	proposes	propose	VERB
fcis-31913	2	110	an	an	DET
fcis-31913	2	111	improved	improved	ADJ
fcis-31913	2	112	neural	neural	ADJ
fcis-31913	2	113	network	network	NOUN
fcis-31913	2	114	-	-	PUNCT
fcis-31913	2	115	based	base	VERB
fcis-31913	2	116	detection	detection	NOUN
fcis-31913	2	117	algorithm	algorithm	NOUN
fcis-31913	2	118	,	,	PUNCT
fcis-31913	2	119	yolov11	yolov11	NOUN
fcis-31913	2	120	-	-	PUNCT
fcis-31913	2	121	rabra	rabra	NOUN
fcis-31913	2	122	.	.	PUNCT
fcis-31913	3	1	first	first	ADV
fcis-31913	3	2	,	,	PUNCT
fcis-31913	3	3	a	a	DET
fcis-31913	3	4	single	single	ADJ
fcis-31913	3	5	class	class	NOUN
fcis-31913	3	6	improve	improve	NOUN
fcis-31913	3	7	(	(	PUNCT
fcis-31913	3	8	si	si	NOUN
fcis-31913	3	9	)	)	PUNCT
fcis-31913	3	10	strategy	strategy	NOUN
fcis-31913	3	11	is	be	AUX
fcis-31913	3	12	employed	employ	VERB
fcis-31913	3	13	to	to	PART
fcis-31913	3	14	selectively	selectively	ADV
fcis-31913	3	15	augment	augment	VERB
fcis-31913	3	16	minority	minority	NOUN
fcis-31913	3	17	defect	defect	NOUN
fcis-31913	3	18	categories	category	NOUN
fcis-31913	3	19	,	,	PUNCT
fcis-31913	3	20	thereby	thereby	ADV
fcis-31913	3	21	alleviating	alleviate	VERB
fcis-31913	3	22	class	class	NOUN
fcis-31913	3	23	imbalance	imbalance	NOUN
fcis-31913	3	24	and	and	CCONJ
fcis-31913	3	25	enhancing	enhance	VERB
fcis-31913	3	26	the	the	DET
fcis-31913	3	27	model	model	NOUN
fcis-31913	3	28	’s	’s	PART
fcis-31913	3	29	learning	learning	NOUN
fcis-31913	3	30	capability	capability	NOUN
fcis-31913	3	31	for	for	ADP
fcis-31913	3	32	rare	rare	ADJ
fcis-31913	3	33	defects	defect	NOUN
fcis-31913	3	34	.	.	PUNCT
fcis-31913	4	1	on	on	ADP
fcis-31913	4	2	this	this	DET
fcis-31913	4	3	basis	basis	NOUN
fcis-31913	4	4	,	,	PUNCT
fcis-31913	4	5	a	a	DET
fcis-31913	4	6	c3k2_repvgg	c3k2_repvgg	NOUN
fcis-31913	4	7	module	module	NOUN
fcis-31913	4	8	is	be	AUX
fcis-31913	4	9	designed	design	VERB
fcis-31913	4	10	by	by	ADP
fcis-31913	4	11	integrating	integrate	VERB
fcis-31913	4	12	repvgg	repvgg	NOUN
fcis-31913	4	13	re	re	NOUN
fcis-31913	4	14	-	-	NOUN
fcis-31913	4	15	parameterization	parameterization	NOUN
fcis-31913	4	16	,	,	PUNCT
fcis-31913	4	17	which	which	PRON
fcis-31913	4	18	optimizes	optimize	VERB
fcis-31913	4	19	the	the	DET
fcis-31913	4	20	feature	feature	NOUN
fcis-31913	4	21	extraction	extraction	NOUN
fcis-31913	4	22	and	and	CCONJ
fcis-31913	4	23	processing	processing	NOUN
fcis-31913	4	24	pipeline	pipeline	NOUN
fcis-31913	4	25	and	and	CCONJ
fcis-31913	4	26	strengthens	strengthen	VERB
fcis-31913	4	27	defect	defect	VERB
fcis-31913	4	28	feature	feature	NOUN
fcis-31913	4	29	representation	representation	NOUN
fcis-31913	4	30	.	.	PUNCT
fcis-31913	5	1	furthermore	furthermore	ADV
fcis-31913	5	2	,	,	PUNCT
fcis-31913	5	3	an	an	DET
fcis-31913	5	4	adown	adown	NOUN
fcis-31913	5	5	adaptive	adaptive	ADJ
fcis-31913	5	6	lightweight	lightweight	NOUN
fcis-31913	5	7	down	down	ADP
fcis-31913	5	8	-	-	PUNCT
fcis-31913	5	9	sampling	sample	VERB
fcis-31913	5	10	mechanism	mechanism	NOUN
fcis-31913	5	11	is	be	AUX
fcis-31913	5	12	introduced	introduce	VERB
fcis-31913	5	13	to	to	PART
fcis-31913	5	14	effectively	effectively	ADV
fcis-31913	5	15	preserve	preserve	VERB
fcis-31913	5	16	fine	fine	ADV
fcis-31913	5	17	-	-	PUNCT
fcis-31913	5	18	grained	grain	VERB
fcis-31913	5	19	features	feature	NOUN
fcis-31913	5	20	such	such	ADJ
fcis-31913	5	21	as	as	ADP
fcis-31913	5	22	cracks	crack	NOUN
fcis-31913	5	23	,	,	PUNCT
fcis-31913	5	24	achieving	achieve	VERB
fcis-31913	5	25	a	a	DET
fcis-31913	5	26	balance	balance	NOUN
fcis-31913	5	27	between	between	ADP
fcis-31913	5	28	accuracy	accuracy	NOUN
fcis-31913	5	29	and	and	CCONJ
fcis-31913	5	30	computational	computational	ADJ
fcis-31913	5	31	efficiency	efficiency	NOUN
fcis-31913	5	32	.	.	PUNCT
fcis-31913	6	1	finally	finally	ADV
fcis-31913	6	2	,	,	PUNCT
fcis-31913	6	3	a	a	DET
fcis-31913	6	4	c2bra	c2bra	NOUN
fcis-31913	6	5	dualroute	dualroute	VERB
fcis-31913	6	6	attention	attention	NOUN
fcis-31913	6	7	module	module	NOUN
fcis-31913	6	8	is	be	AUX
fcis-31913	6	9	applied	apply	VERB
fcis-31913	6	10	to	to	PART
fcis-31913	6	11	enhance	enhance	VERB
fcis-31913	6	12	defect	defect	NOUN
fcis-31913	6	13	-	-	PUNCT
fcis-31913	6	14	focused	focus	VERB
fcis-31913	6	15	feature	feature	NOUN
fcis-31913	6	16	aggregation	aggregation	NOUN
fcis-31913	6	17	while	while	SCONJ
fcis-31913	6	18	suppressing	suppress	VERB
fcis-31913	6	19	interference	interference	NOUN
fcis-31913	6	20	from	from	ADP
fcis-31913	6	21	complex	complex	ADJ
fcis-31913	6	22	wood	wood	NOUN
fcis-31913	6	23	textures	texture	NOUN
fcis-31913	6	24	.	.	PUNCT
fcis-31913	7	1	experimental	experimental	ADJ
fcis-31913	7	2	results	result	NOUN
fcis-31913	7	3	demonstrate	demonstrate	VERB
fcis-31913	7	4	that	that	SCONJ
fcis-31913	7	5	,	,	PUNCT
fcis-31913	7	6	compared	compare	VERB
fcis-31913	7	7	with	with	ADP
fcis-31913	7	8	the	the	DET
fcis-31913	7	9	baseline	baseline	PROPN
fcis-31913	7	10	yolov11	yolov11	PROPN
fcis-31913	7	11	model	model	NOUN
fcis-31913	7	12	,	,	PUNCT
fcis-31913	7	13	the	the	DET
fcis-31913	7	14	proposed	propose	VERB
fcis-31913	7	15	algorithm	algorithm	NOUN
fcis-31913	7	16	achieves	achieve	VERB
fcis-31913	7	17	improvements	improvement	NOUN
fcis-31913	7	18	of	of	ADP
fcis-31913	7	19	13.7	13.7	NUM
fcis-31913	7	20	percentage	percentage	NOUN
fcis-31913	7	21	points	point	NOUN
fcis-31913	7	22	in	in	ADP
fcis-31913	7	23	map50	map50	PROPN
fcis-31913	7	24	and	and	CCONJ
fcis-31913	7	25	12.8	12.8	NUM
fcis-31913	7	26	percentage	percentage	NOUN
fcis-31913	7	27	points	point	NOUN
fcis-31913	7	28	in	in	ADP
fcis-31913	7	29	precision	precision	NOUN
fcis-31913	7	30	,	,	PUNCT
fcis-31913	7	31	significantly	significantly	ADV
fcis-31913	7	32	enhancing	enhance	VERB
fcis-31913	7	33	the	the	DET
fcis-31913	7	34	accuracy	accuracy	NOUN
fcis-31913	7	35	and	and	CCONJ
fcis-31913	7	36	robustness	robustness	NOUN
fcis-31913	7	37	of	of	ADP
fcis-31913	7	38	wood	wood	NOUN
fcis-31913	7	39	surface	surface	NOUN
fcis-31913	7	40	defect	defect	NOUN
fcis-31913	7	41	detection	detection	NOUN
fcis-31913	7	42	.	.	PUNCT
fcis-31913	8	1	in	in	ADP
fcis-31913	8	2	summary	summary	NOUN
fcis-31913	8	3	,	,	PUNCT
fcis-31913	8	4	the	the	DET
fcis-31913	8	5	proposed	propose	VERB
fcis-31913	8	6	method	method	NOUN
fcis-31913	8	7	achieves	achieve	VERB
fcis-31913	8	8	advances	advance	NOUN
fcis-31913	8	9	in	in	ADP
fcis-31913	8	10	both	both	DET
fcis-31913	8	11	detection	detection	NOUN
fcis-31913	8	12	performance	performance	NOUN
fcis-31913	8	13	and	and	CCONJ
fcis-31913	8	14	lightweight	lightweight	ADJ
fcis-31913	8	15	design	design	NOUN
fcis-31913	8	16	,	,	PUNCT
fcis-31913	8	17	providing	provide	VERB
fcis-31913	8	18	a	a	DET
fcis-31913	8	19	feasible	feasible	ADJ
fcis-31913	8	20	solution	solution	NOUN
fcis-31913	8	21	for	for	ADP
fcis-31913	8	22	high	high	ADJ
fcis-31913	8	23	-	-	PUNCT
fcis-31913	8	24	precision	precision	NOUN
fcis-31913	8	25	detection	detection	NOUN
fcis-31913	8	26	in	in	ADP
fcis-31913	8	27	intelligent	intelligent	ADJ
fcis-31913	8	28	manufacturing	manufacturing	NOUN
fcis-31913	8	29	and	and	CCONJ
fcis-31913	8	30	industrial	industrial	ADJ
fcis-31913	8	31	quality	quality	NOUN
fcis-31913	8	32	inspection	inspection	NOUN
fcis-31913	8	33	.	.	PUNCT
fcis-31913	9	1	keywords	keyword	NOUN
fcis-31913	9	2	:	:	PUNCT
fcis-31913	9	3	wood	wood	NOUN
fcis-31913	9	4	surface	surface	NOUN
fcis-31913	9	5	defect	defect	NOUN
fcis-31913	9	6	detection	detection	NOUN
fcis-31913	9	7	;	;	PUNCT
fcis-31913	9	8	neural	neural	ADJ
fcis-31913	9	9	network	network	NOUN
fcis-31913	9	10	improvement	improvement	NOUN
fcis-31913	9	11	;	;	PUNCT
fcis-31913	9	12	si	si	X
fcis-31913	9	13	;	;	PUNCT
fcis-31913	9	14	c3k2_repvgg	c3k2_repvgg	PROPN
fcis-31913	9	15	;	;	PUNCT
fcis-31913	9	16	adaptive	adaptive	ADJ
fcis-31913	9	17	downsampling	downsampling	NOUN
fcis-31913	9	18	(	(	PUNCT
fcis-31913	9	19	adown	adown	NOUN
fcis-31913	9	20	)	)	PUNCT
fcis-31913	9	21	;	;	PUNCT
fcis-31913	9	22	c2bra	c2bra	NOUN
fcis-31913	9	23	.	.	NOUN
fcis-31913	10	1	1	1	NUM
fcis-31913	10	2	.	.	X
fcis-31913	10	3	introduction	introduction	NOUN
fcis-31913	10	4	wood	wood	NOUN
fcis-31913	10	5	is	be	AUX
fcis-31913	10	6	an	an	DET
fcis-31913	10	7	important	important	ADJ
fcis-31913	10	8	industrial	industrial	ADJ
fcis-31913	10	9	material	material	NOUN
fcis-31913	10	10	,	,	PUNCT
fcis-31913	10	11	plays	play	VERB
fcis-31913	10	12	a	a	DET
fcis-31913	10	13	crucial	crucial	ADJ
fcis-31913	10	14	role	role	NOUN
fcis-31913	10	15	in	in	ADP
fcis-31913	10	16	various	various	ADJ
fcis-31913	10	17	industries	industry	NOUN
fcis-31913	10	18	in	in	ADP
fcis-31913	10	19	china	china	PROPN
fcis-31913	10	20	,	,	PUNCT
fcis-31913	10	21	including	include	VERB
fcis-31913	10	22	construction	construction	NOUN
fcis-31913	10	23	,	,	PUNCT
fcis-31913	10	24	decoration	decoration	NOUN
fcis-31913	10	25	,	,	PUNCT
fcis-31913	10	26	furniture	furniture	NOUN
fcis-31913	10	27	,	,	PUNCT
fcis-31913	10	28	and	and	CCONJ
fcis-31913	10	29	office	office	NOUN
fcis-31913	10	30	applications	application	NOUN
fcis-31913	10	31	.	.	PUNCT
fcis-31913	11	1	due	due	ADP
fcis-31913	11	2	to	to	ADP
fcis-31913	11	3	significant	significant	ADJ
fcis-31913	11	4	differences	difference	NOUN
fcis-31913	11	5	in	in	ADP
fcis-31913	11	6	the	the	DET
fcis-31913	11	7	requirements	requirement	NOUN
fcis-31913	11	8	for	for	ADP
fcis-31913	11	9	wood	wood	NOUN
fcis-31913	11	10	’s	’s	PART
fcis-31913	11	11	appearance	appearance	NOUN
fcis-31913	11	12	,	,	PUNCT
fcis-31913	11	13	deformation	deformation	NOUN
fcis-31913	11	14	,	,	PUNCT
fcis-31913	11	15	surface	surface	NOUN
fcis-31913	11	16	roughness	roughness	NOUN
fcis-31913	11	17	,	,	PUNCT
fcis-31913	11	18	and	and	CCONJ
fcis-31913	11	19	resistance	resistance	NOUN
fcis-31913	11	20	to	to	ADP
fcis-31913	11	21	external	external	ADJ
fcis-31913	11	22	forces	force	NOUN
fcis-31913	11	23	across	across	ADP
fcis-31913	11	24	different	different	ADJ
fcis-31913	11	25	industries	industry	NOUN
fcis-31913	11	26	,	,	PUNCT
fcis-31913	11	27	researching	research	VERB
fcis-31913	11	28	wood	wood	NOUN
fcis-31913	11	29	defect	defect	NOUN
fcis-31913	11	30	detection	detection	NOUN
fcis-31913	11	31	technologies	technology	NOUN
fcis-31913	11	32	is	be	AUX
fcis-31913	11	33	of	of	ADP
fcis-31913	11	34	great	great	ADJ
fcis-31913	11	35	practical	practical	ADJ
fcis-31913	11	36	significance	significance	NOUN
fcis-31913	11	37	.	.	PUNCT
fcis-31913	12	1	currently	currently	ADV
fcis-31913	12	2	,	,	PUNCT
fcis-31913	12	3	methods	method	NOUN
fcis-31913	12	4	for	for	ADP
fcis-31913	12	5	detecting	detect	VERB
fcis-31913	12	6	wood	wood	NOUN
fcis-31913	12	7	defects	defect	NOUN
fcis-31913	12	8	mainly	mainly	ADV
fcis-31913	12	9	include	include	VERB
fcis-31913	12	10	manual	manual	ADJ
fcis-31913	12	11	inspection	inspection	NOUN
fcis-31913	12	12	,	,	PUNCT
fcis-31913	12	13	mechanical	mechanical	ADJ
fcis-31913	12	14	detection[1	detection[1	PROPN
fcis-31913	12	15	]	]	X
fcis-31913	12	16	,	,	PUNCT
fcis-31913	12	17	modern	modern	ADJ
fcis-31913	12	18	technological	technological	ADJ
fcis-31913	12	19	detection	detection	NOUN
fcis-31913	12	20	,	,	PUNCT
fcis-31913	12	21	and	and	CCONJ
fcis-31913	12	22	machine	machine	NOUN
fcis-31913	12	23	vision	vision	NOUN
fcis-31913	12	24	detection[2	detection[2	PROPN
fcis-31913	12	25	]	]	PUNCT
fcis-31913	12	26	.	.	PUNCT
fcis-31913	13	1	among	among	ADP
fcis-31913	13	2	these	these	PRON
fcis-31913	13	3	,	,	PUNCT
fcis-31913	13	4	traditional	traditional	ADJ
fcis-31913	13	5	manual	manual	ADJ
fcis-31913	13	6	inspection	inspection	NOUN
fcis-31913	13	7	methods	method	NOUN
fcis-31913	13	8	are	be	AUX
fcis-31913	13	9	inefficient	inefficient	ADJ
fcis-31913	13	10	and	and	CCONJ
fcis-31913	13	11	highly	highly	ADV
fcis-31913	13	12	subjective	subjective	ADJ
fcis-31913	13	13	,	,	PUNCT
fcis-31913	13	14	making	make	VERB
fcis-31913	13	15	it	it	PRON
fcis-31913	13	16	difficult	difficult	ADJ
fcis-31913	13	17	to	to	PART
fcis-31913	13	18	meet	meet	VERB
fcis-31913	13	19	the	the	DET
fcis-31913	13	20	demands	demand	NOUN
fcis-31913	13	21	of	of	ADP
fcis-31913	13	22	modern	modern	ADJ
fcis-31913	13	23	industrial	industrial	ADJ
fcis-31913	13	24	production	production	NOUN
fcis-31913	13	25	.	.	PUNCT
fcis-31913	14	1	mechanical	mechanical	ADJ
fcis-31913	14	2	detection	detection	NOUN
fcis-31913	14	3	often	often	ADV
fcis-31913	14	4	involves	involve	VERB
fcis-31913	14	5	contact	contact	NOUN
fcis-31913	14	6	operations	operation	NOUN
fcis-31913	14	7	that	that	PRON
fcis-31913	14	8	require	require	VERB
fcis-31913	14	9	frequent	frequent	ADJ
fcis-31913	14	10	adjustments	adjustment	NOUN
fcis-31913	14	11	of	of	ADP
fcis-31913	14	12	the	the	DET
fcis-31913	14	13	object	object	NOUN
fcis-31913	14	14	’s	’s	PART
fcis-31913	14	15	position	position	NOUN
fcis-31913	14	16	,	,	PUNCT
fcis-31913	14	17	resulting	result	VERB
fcis-31913	14	18	in	in	ADP
fcis-31913	14	19	relatively	relatively	ADV
fcis-31913	14	20	low	low	ADJ
fcis-31913	14	21	detection	detection	NOUN
fcis-31913	14	22	efficiency	efficiency	NOUN
fcis-31913	14	23	.	.	PUNCT
fcis-31913	15	1	in	in	ADP
fcis-31913	15	2	contrast	contrast	NOUN
fcis-31913	15	3	,	,	PUNCT
fcis-31913	15	4	modern	modern	ADJ
fcis-31913	15	5	technological	technological	ADJ
fcis-31913	15	6	detection	detection	NOUN
fcis-31913	15	7	methods	method	NOUN
fcis-31913	15	8	such	such	ADJ
fcis-31913	15	9	as	as	ADP
fcis-31913	15	10	laser	laser	NOUN
fcis-31913	15	11	,	,	PUNCT
fcis-31913	15	12	near	near	ADV
fcis-31913	15	13	-	-	PUNCT
fcis-31913	15	14	infrared	infrare	VERB
fcis-31913	15	15	spectroscopy[3	spectroscopy[3	PROPN
fcis-31913	15	16	]	]	PUNCT
fcis-31913	15	17	,	,	PUNCT
fcis-31913	15	18	ultrasound	ultrasound	NOUN
fcis-31913	15	19	,	,	PUNCT
fcis-31913	15	20	microwave	microwave	NOUN
fcis-31913	15	21	,	,	PUNCT
fcis-31913	15	22	and	and	CCONJ
fcis-31913	15	23	x	x	X
fcis-31913	15	24	-	-	PUNCT
fcis-31913	15	25	ray[4	ray[4	X
fcis-31913	15	26	]	]	PUNCT
fcis-31913	15	27	can	can	AUX
fcis-31913	15	28	significantly	significantly	ADV
fcis-31913	15	29	enhance	enhance	VERB
fcis-31913	15	30	production	production	NOUN
fcis-31913	15	31	efficiency	efficiency	NOUN
fcis-31913	15	32	and	and	CCONJ
fcis-31913	15	33	automation	automation	NOUN
fcis-31913	15	34	levels	level	NOUN
fcis-31913	15	35	;	;	PUNCT
fcis-31913	15	36	however	however	ADV
fcis-31913	15	37	,	,	PUNCT
fcis-31913	15	38	their	their	PRON
fcis-31913	15	39	widespread	widespread	ADJ
fcis-31913	15	40	application	application	NOUN
fcis-31913	15	41	in	in	ADP
fcis-31913	15	42	large	large	ADJ
fcis-31913	15	43	-	-	PUNCT
fcis-31913	15	44	scale	scale	NOUN
fcis-31913	15	45	industrial	industrial	ADJ
fcis-31913	15	46	settings	setting	NOUN
fcis-31913	15	47	is	be	AUX
fcis-31913	15	48	limited	limit	VERB
fcis-31913	15	49	by	by	ADP
fcis-31913	15	50	high	high	ADJ
fcis-31913	15	51	costs	cost	NOUN
fcis-31913	15	52	.	.	PUNCT
fcis-31913	16	1	in	in	ADP
fcis-31913	16	2	the	the	DET
fcis-31913	16	3	field	field	NOUN
fcis-31913	16	4	of	of	ADP
fcis-31913	16	5	machine	machine	NOUN
fcis-31913	16	6	vision	vision	NOUN
fcis-31913	16	7	detection	detection	PROPN
fcis-31913	16	8	,	,	PUNCT
fcis-31913	16	9	traditional	traditional	ADJ
fcis-31913	16	10	methods	method	NOUN
fcis-31913	16	11	typically	typically	ADV
fcis-31913	16	12	preprocess	preprocess	VERB
fcis-31913	16	13	images	image	NOUN
fcis-31913	16	14	of	of	ADP
fcis-31913	16	15	wood	wood	NOUN
fcis-31913	16	16	defects	defect	NOUN
fcis-31913	16	17	and	and	CCONJ
fcis-31913	16	18	select	select	ADJ
fcis-31913	16	19	candidate	candidate	NOUN
fcis-31913	16	20	regions	region	NOUN
fcis-31913	16	21	using	use	VERB
fcis-31913	16	22	sliding	slide	VERB
fcis-31913	16	23	window	window	NOUN
fcis-31913	16	24	techniques	technique	NOUN
fcis-31913	16	25	.	.	PUNCT
fcis-31913	17	1	this	this	DET
fcis-31913	17	2	technique	technique	NOUN
fcis-31913	17	3	involves	involve	VERB
fcis-31913	17	4	sliding	slide	VERB
fcis-31913	17	5	windows	window	NOUN
fcis-31913	17	6	of	of	ADP
fcis-31913	17	7	various	various	ADJ
fcis-31913	17	8	sizes	size	NOUN
fcis-31913	17	9	and	and	CCONJ
fcis-31913	17	10	aspect	aspect	NOUN
fcis-31913	17	11	ratios	ratio	NOUN
fcis-31913	17	12	across	across	ADP
fcis-31913	17	13	the	the	DET
fcis-31913	17	14	image	image	NOUN
fcis-31913	17	15	with	with	ADP
fcis-31913	17	16	a	a	DET
fcis-31913	17	17	fixed	fix	VERB
fcis-31913	17	18	step	step	NOUN
fcis-31913	17	19	size	size	NOUN
fcis-31913	17	20	to	to	PART
fcis-31913	17	21	extract	extract	VERB
fcis-31913	17	22	features	feature	NOUN
fcis-31913	17	23	such	such	ADJ
fcis-31913	17	24	as	as	ADP
fcis-31913	17	25	color	color	NOUN
fcis-31913	17	26	,	,	PUNCT
fcis-31913	17	27	geometry	geometry	NOUN
fcis-31913	17	28	,	,	PUNCT
fcis-31913	17	29	and	and	CCONJ
fcis-31913	17	30	texture	texture	NOUN
fcis-31913	17	31	;	;	PUNCT
fcis-31913	17	32	these	these	DET
fcis-31913	17	33	features	feature	NOUN
fcis-31913	17	34	are	be	AUX
fcis-31913	17	35	then	then	ADV
fcis-31913	17	36	input	input	ADJ
fcis-31913	17	37	into	into	ADP
fcis-31913	17	38	a	a	DET
fcis-31913	17	39	classifier	classifier	NOUN
fcis-31913	17	40	to	to	PART
fcis-31913	17	41	determine	determine	VERB
fcis-31913	17	42	the	the	DET
fcis-31913	17	43	type	type	NOUN
fcis-31913	17	44	of	of	ADP
fcis-31913	17	45	defect	defect	NOUN
fcis-31913	17	46	.	.	PUNCT
fcis-31913	18	1	li	li	PROPN
fcis-31913	18	2	et	et	PROPN
fcis-31913	18	3	al.[5	al.[5	PROPN
fcis-31913	18	4	]	]	PUNCT
fcis-31913	18	5	proposed	propose	VERB
fcis-31913	18	6	a	a	DET
fcis-31913	18	7	detection	detection	NOUN
fcis-31913	18	8	method	method	NOUN
fcis-31913	18	9	based	base	VERB
fcis-31913	18	10	on	on	ADP
fcis-31913	18	11	linear	linear	ADJ
fcis-31913	18	12	discriminant	discriminant	ADJ
fcis-31913	18	13	analysis	analysis	NOUN
fcis-31913	18	14	(	(	PUNCT
fcis-31913	18	15	lda	lda	X
fcis-31913	19	1	[	[	X
fcis-31913	19	2	6	6	NUM
fcis-31913	19	3	]	]	PUNCT
fcis-31913	19	4	)	)	PUNCT
fcis-31913	19	5	and	and	CCONJ
fcis-31913	19	6	compressed	compress	VERB
fcis-31913	19	7	sensing	sensing	NOUN
fcis-31913	19	8	images	image	NOUN
fcis-31913	19	9	for	for	ADP
fcis-31913	19	10	rapid	rapid	ADJ
fcis-31913	19	11	and	and	CCONJ
fcis-31913	19	12	accurate	accurate	ADJ
fcis-31913	19	13	identification	identification	NOUN
fcis-31913	19	14	of	of	ADP
fcis-31913	19	15	wood	wood	NOUN
fcis-31913	19	16	defects	defect	NOUN
fcis-31913	19	17	.	.	PUNCT
fcis-31913	20	1	yuce	yuce	VERB
fcis-31913	20	2	et	et	PROPN
fcis-31913	20	3	al	al	PROPN
fcis-31913	20	4	.	.	PUNCT
fcis-31913	21	1	[	[	X
fcis-31913	21	2	7	7	NUM
fcis-31913	21	3	]	]	X
fcis-31913	21	4	utilized	utilize	VERB
fcis-31913	21	5	principal	principal	ADJ
fcis-31913	21	6	component	component	NOUN
fcis-31913	21	7	analysis	analysis	NOUN
fcis-31913	21	8	to	to	PART
fcis-31913	21	9	reduce	reduce	VERB
fcis-31913	21	10	the	the	DET
fcis-31913	21	11	number	number	NOUN
fcis-31913	21	12	of	of	ADP
fcis-31913	21	13	key	key	ADJ
fcis-31913	21	14	variables	variable	NOUN
fcis-31913	21	15	and	and	CCONJ
fcis-31913	21	16	employed	employ	VERB
fcis-31913	21	17	artificial	artificial	ADJ
fcis-31913	21	18	neural	neural	ADJ
fcis-31913	21	19	networks	network	NOUN
fcis-31913	21	20	(	(	PUNCT
fcis-31913	21	21	ann	ann	PROPN
fcis-31913	21	22	[	[	X
fcis-31913	21	23	8	8	NUM
fcis-31913	21	24	]	]	PUNCT
fcis-31913	21	25	)	)	PUNCT
fcis-31913	21	26	for	for	ADP
fcis-31913	21	27	real	real	ADJ
fcis-31913	21	28	-	-	PUNCT
fcis-31913	21	29	time	time	NOUN
fcis-31913	21	30	identification	identification	NOUN
fcis-31913	21	31	of	of	ADP
fcis-31913	21	32	veneer	veneer	NOUN
fcis-31913	21	33	defects	defect	NOUN
fcis-31913	21	34	in	in	ADP
fcis-31913	21	35	wood	wood	NOUN
fcis-31913	21	36	manufacturing	manufacturing	NOUN
fcis-31913	21	37	companies	company	NOUN
fcis-31913	21	38	’	’	PART
fcis-31913	21	39	quality	quality	NOUN
fcis-31913	21	40	control	control	NOUN
fcis-31913	21	41	processes	process	NOUN
fcis-31913	21	42	.	.	PUNCT
fcis-31913	22	1	however	however	ADV
fcis-31913	22	2	,	,	PUNCT
fcis-31913	22	3	the	the	DET
fcis-31913	22	4	complex	complex	ADJ
fcis-31913	22	5	and	and	CCONJ
fcis-31913	22	6	variable	variable	ADJ
fcis-31913	22	7	texture	texture	ADJ
fcis-31913	22	8	backgrounds	background	NOUN
fcis-31913	22	9	of	of	ADP
fcis-31913	22	10	wood	wood	NOUN
fcis-31913	22	11	surfaces	surface	NOUN
fcis-31913	22	12	along	along	ADP
fcis-31913	22	13	with	with	ADP
fcis-31913	22	14	diverse	diverse	ADJ
fcis-31913	22	15	defect	defect	NOUN
fcis-31913	22	16	types	type	NOUN
fcis-31913	22	17	pose	pose	VERB
fcis-31913	22	18	numerous	numerous	ADJ
fcis-31913	22	19	challenges	challenge	NOUN
fcis-31913	22	20	for	for	ADP
fcis-31913	22	21	traditional	traditional	ADJ
fcis-31913	22	22	machine	machine	NOUN
fcis-31913	22	23	vision	vision	NOUN
fcis-31913	22	24	detection	detection	NOUN
fcis-31913	22	25	methods	method	NOUN
fcis-31913	22	26	when	when	SCONJ
fcis-31913	22	27	dealing	deal	VERB
fcis-31913	22	28	with	with	ADP
fcis-31913	22	29	complicated	complicated	ADJ
fcis-31913	22	30	scenes	scene	NOUN
fcis-31913	22	31	;	;	PUNCT
fcis-31913	22	32	they	they	PRON
fcis-31913	22	33	struggle	struggle	VERB
fcis-31913	22	34	to	to	PART
fcis-31913	22	35	effectively	effectively	ADV
fcis-31913	22	36	address	address	VERB
fcis-31913	22	37	defects	defect	NOUN
fcis-31913	22	38	of	of	ADP
fcis-31913	22	39	varying	vary	VERB
fcis-31913	22	40	sizes	size	NOUN
fcis-31913	22	41	and	and	CCONJ
fcis-31913	22	42	shapes	shape	NOUN
fcis-31913	22	43	.	.	PUNCT
fcis-31913	23	1	with	with	ADP
fcis-31913	23	2	advancements	advancement	NOUN
fcis-31913	23	3	in	in	ADP
fcis-31913	23	4	computational	computational	ADJ
fcis-31913	23	5	power	power	NOUN
fcis-31913	23	6	and	and	CCONJ
fcis-31913	23	7	algorithm	algorithm	NOUN
fcis-31913	23	8	development	development	NOUN
fcis-31913	23	9	,	,	PUNCT
fcis-31913	23	10	deep	deep	ADJ
fcis-31913	23	11	learning	learning	NOUN
fcis-31913	23	12	has	have	AUX
fcis-31913	23	13	been	be	AUX
fcis-31913	23	14	widely	widely	ADV
fcis-31913	23	15	applied	apply	VERB
fcis-31913	23	16	in	in	ADP
fcis-31913	23	17	the	the	DET
fcis-31913	23	18	field	field	NOUN
fcis-31913	23	19	of	of	ADP
fcis-31913	23	20	machine	machine	NOUN
fcis-31913	23	21	vision	vision	NOUN
fcis-31913	23	22	.	.	PUNCT
fcis-31913	24	1	currently	currently	ADV
fcis-31913	24	2	,	,	PUNCT
fcis-31913	24	3	deep	deep	ADJ
fcis-31913	24	4	learning	learning	NOUN
fcis-31913	24	5	object	object	NOUN
fcis-31913	24	6	detection	detection	NOUN
fcis-31913	24	7	algorithms	algorithm	NOUN
fcis-31913	24	8	are	be	AUX
fcis-31913	24	9	primarily	primarily	ADV
fcis-31913	24	10	categorized	categorize	VERB
fcis-31913	24	11	into	into	ADP
fcis-31913	24	12	two	two	NUM
fcis-31913	24	13	-	-	PUNCT
fcis-31913	24	14	stage	stage	NOUN
fcis-31913	24	15	detection	detection	NOUN
fcis-31913	24	16	algorithms[9	algorithms[9	NOUN
fcis-31913	24	17	]	]	PUNCT
fcis-31913	24	18	and	and	CCONJ
fcis-31913	24	19	single	single	ADJ
fcis-31913	24	20	-	-	PUNCT
fcis-31913	24	21	stage	stage	NOUN
fcis-31913	24	22	detection	detection	NOUN
fcis-31913	24	23	algorithms	algorithm	NOUN
fcis-31913	24	24	[	[	X
fcis-31913	24	25	10	10	NUM
fcis-31913	24	26	]	]	PUNCT
fcis-31913	24	27	.	.	PUNCT
fcis-31913	25	1	the	the	DET
fcis-31913	25	2	detection	detection	NOUN
fcis-31913	25	3	process	process	NOUN
fcis-31913	25	4	of	of	ADP
fcis-31913	25	5	two	two	NUM
fcis-31913	25	6	-	-	PUNCT
fcis-31913	25	7	stage	stage	NOUN
fcis-31913	25	8	algorithms	algorithms	NOUN
fcis-31913	25	9	includ	includ	X
fcis-31913	25	10	es	es	X
fcis-31913	25	11	region	region	NOUN
fcis-31913	25	12	proposal	proposal	NOUN
fcis-31913	25	13	generation	generation	NOUN
fcis-31913	25	14	,	,	PUNCT
fcis-31913	25	15	feature	feature	NOUN
fcis-31913	25	16	extraction	extraction	NOUN
fcis-31913	25	17	,	,	PUNCT
fcis-31913	25	18	classification	classification	NOUN
fcis-31913	25	19	,	,	PUNCT
fcis-31913	25	20	and	and	CCONJ
fcis-31913	25	21	bounding	bound	VERB
fcis-31913	25	22	box	box	NOUN
fcis-31913	25	23	regression	regression	NOUN
fcis-31913	25	24	to	to	PART
fcis-31913	25	25	achieve	achieve	VERB
fcis-31913	25	26	precise	precise	ADJ
fcis-31913	25	27	object	object	NOUN
fcis-31913	25	28	detection	detection	NOUN
fcis-31913	25	29	.	.	PUNCT
fcis-31913	26	1	xu	xu	PROPN
fcis-31913	26	2	shanshan	shanshan	PROPN
fcis-31913	26	3	et	et	PROPN
fcis-31913	26	4	al	al	PROPN
fcis-31913	26	5	.	.	PUNCT
fcis-31913	27	1	[	[	X
fcis-31913	27	2	11	11	NUM
fcis-31913	27	3	]	]	PUNCT
fcis-31913	27	4	extracted	extract	VERB
fcis-31913	27	5	wood	wood	NOUN
fcis-31913	27	6	defect	defect	NOUN
fcis-31913	27	7	features	feature	NOUN
fcis-31913	27	8	based	base	VERB
fcis-31913	27	9	on	on	ADP
fcis-31913	27	10	an	an	DET
fcis-31913	27	11	incremental	incremental	ADJ
fcis-31913	27	12	convolutional	convolutional	ADJ
fcis-31913	27	13	neural	neural	ADJ
fcis-31913	27	14	network	network	NOUN
fcis-31913	27	15	structure	structure	NOUN
fcis-31913	27	16	and	and	CCONJ
fcis-31913	27	17	employed	employ	VERB
fcis-31913	27	18	an	an	DET
fcis-31913	27	19	incremental	incremental	ADJ
fcis-31913	27	20	parameter	parameter	NOUN
fcis-31913	27	21	training	training	NOUN
fcis-31913	27	22	strategy	strategy	NOUN
fcis-31913	27	23	to	to	PART
fcis-31913	27	24	enhance	enhance	VERB
fcis-31913	27	25	the	the	DET
fcis-31913	27	26	robustness	robustness	NOUN
fcis-31913	27	27	of	of	ADP
fcis-31913	27	28	the	the	DET
fcis-31913	27	29	algorithm	algorithm	NOUN
fcis-31913	27	30	.	.	PUNCT
fcis-31913	28	1	xia	xia	PROPN
fcis-31913	28	2	et	et	PROPN
fcis-31913	28	3	al.[12	al.[12	PROPN
fcis-31913	28	4	]	]	PUNCT
fcis-31913	28	5	combined	combine	VERB
fcis-31913	28	6	resnet50[13	resnet50[13	NOUN
fcis-31913	28	7	]	]	PUNCT
fcis-31913	28	8	with	with	ADP
fcis-31913	28	9	shape	shape	NOUN
fcis-31913	28	10	-	-	PUNCT
fcis-31913	28	11	variable	variable	NOUN
fcis-31913	28	12	convolutional	convolutional	ADJ
fcis-31913	28	13	networks	network	NOUN
fcis-31913	28	14	and	and	CCONJ
fcis-31913	28	15	feature	feature	NOUN
fcis-31913	28	16	pyramid	pyramid	NOUN
fcis-31913	28	17	networks	network	NOUN
fcis-31913	28	18	(	(	PUNCT
fcis-31913	28	19	fpn[14	fpn[14	PROPN
fcis-31913	28	20	]	]	PUNCT
fcis-31913	28	21	)	)	PUNCT
fcis-31913	28	22	to	to	PART
fcis-31913	28	23	improve	improve	VERB
fcis-31913	28	24	multiscale	multiscale	ADJ
fcis-31913	28	25	defect	defect	NOUN
fcis-31913	28	26	feature	feature	NOUN
fcis-31913	28	27	representation	representation	NOUN
fcis-31913	28	28	capability	capability	NOUN
fcis-31913	28	29	.	.	PUNCT
fcis-31913	29	1	li	li	PROPN
fcis-31913	29	2	et	et	PROPN
fcis-31913	29	3	al.[15	al.[15	PROPN
fcis-31913	29	4	]	]	PUNCT
fcis-31913	29	5	,	,	PUNCT
fcis-31913	29	6	addressing	address	VERB
fcis-31913	29	7	irregular	irregular	ADJ
fcis-31913	29	8	wood	wood	NOUN
fcis-31913	29	9	defects	defect	NOUN
fcis-31913	29	10	,	,	PUNCT
fcis-31913	29	11	utilized	utilize	VERB
fcis-31913	29	12	generative	generative	ADJ
fcis-31913	29	13	adversarial	adversarial	ADJ
fcis-31913	29	14	networks	network	NOUN
fcis-31913	29	15	to	to	PART
fcis-31913	29	16	augment	augment	VERB
fcis-31913	29	17	datasets	dataset	NOUN
fcis-31913	29	18	and	and	CCONJ
fcis-31913	29	19	construct	construct	VERB
fcis-31913	29	20	a	a	DET
fcis-31913	29	21	mask	mask	NOUN
fcis-31913	29	22	r	r	NOUN
fcis-31913	29	23	-	-	PUNCT
fcis-31913	29	24	cnn	cnn	NOUN
fcis-31913	29	25	[	[	X
fcis-31913	29	26	16	16	NUM
fcis-31913	29	27	]	]	PUNCT
fcis-31913	29	28	detection	detection	NOUN
fcis-31913	29	29	model	model	NOUN
fcis-31913	29	30	.	.	PUNCT
fcis-31913	30	1	single	single	ADJ
fcis-31913	30	2	-	-	PUNCT
fcis-31913	30	3	stage	stage	NOUN
fcis-31913	30	4	detection	detection	NOUN
fcis-31913	30	5	algorithms	algorithm	NOUN
fcis-31913	30	6	perform	perform	VERB
fcis-31913	30	7	object	object	NOUN
fcis-31913	30	8	classification	classification	NOUN
fcis-31913	30	9	and	and	CCONJ
fcis-31913	30	10	bounding	bound	VERB
fcis-31913	30	11	box	box	NOUN
fcis-31913	30	12	regression	regression	NOUN
fcis-31913	30	13	directly	directly	ADV
fcis-31913	30	14	on	on	ADP
fcis-31913	30	15	images	image	NOUN
fcis-31913	30	16	without	without	ADP
fcis-31913	30	17	generating	generate	VERB
fcis-31913	30	18	region	region	NOUN
fcis-31913	30	19	proposals	proposal	NOUN
fcis-31913	30	20	;	;	PUNCT
fcis-31913	30	21	this	this	PRON
fcis-31913	30	22	results	result	VERB
fcis-31913	30	23	in	in	ADP
fcis-31913	30	24	faster	fast	ADJ
fcis-31913	30	25	detection	detection	NOUN
fcis-31913	30	26	speeds	speed	NOUN
fcis-31913	30	27	and	and	CCONJ
fcis-31913	30	28	lower	low	ADJ
fcis-31913	30	29	computational	computational	ADJ
fcis-31913	30	30	costs	cost	NOUN
fcis-31913	30	31	,	,	PUNCT
fcis-31913	30	32	making	make	VERB
fcis-31913	30	33	them	they	PRON
fcis-31913	30	34	particularly	particularly	ADV
fcis-31913	30	35	suitable	suitable	ADJ
fcis-31913	30	36	for	for	ADP
fcis-31913	30	37	real	real	ADJ
fcis-31913	30	38	-	-	PUNCT
fcis-31913	30	39	time	time	NOUN
fcis-31913	30	40	detection	detection	NOUN
fcis-31913	30	41	tasks	task	NOUN
fcis-31913	30	42	.	.	PUNCT
fcis-31913	31	1	hu	hu	PROPN
fcis-31913	31	2	zhongkang	zhongkang	PROPN
fcis-31913	32	1	[	[	X
fcis-31913	32	2	17	17	NUM
fcis-31913	32	3	]	]	PUNCT
fcis-31913	32	4	designed	design	VERB
fcis-31913	32	5	a	a	DET
fcis-31913	32	6	solid	solid	ADJ
fcis-31913	32	7	51	51	NUM
fcis-31913	32	8	wood	wood	NOUN
fcis-31913	32	9	board	board	NOUN
fcis-31913	32	10	defect	defect	NOUN
fcis-31913	32	11	detection	detection	NOUN
fcis-31913	32	12	algorithm	algorithm	NOUN
fcis-31913	32	13	based	base	VERB
fcis-31913	32	14	on	on	ADP
fcis-31913	32	15	ssd[18	ssd[18	PROPN
fcis-31913	32	16	]	]	PUNCT
fcis-31913	32	17	,	,	PUNCT
fcis-31913	32	18	enhancing	enhance	VERB
fcis-31913	32	19	performance	performance	NOUN
fcis-31913	32	20	through	through	ADP
fcis-31913	32	21	the	the	DET
fcis-31913	32	22	introduction	introduction	NOUN
fcis-31913	32	23	of	of	ADP
fcis-31913	32	24	feature	feature	NOUN
fcis-31913	32	25	pyramid	pyramid	NOUN
fcis-31913	32	26	networks	network	NOUN
fcis-31913	32	27	(	(	PUNCT
fcis-31913	32	28	fpn	fpn	ADJ
fcis-31913	32	29	)	)	PUNCT
fcis-31913	32	30	and	and	CCONJ
fcis-31913	32	31	resnet	resnet	NOUN
fcis-31913	32	32	.	.	PUNCT
fcis-31913	33	1	jia	jia	PROPN
fcis-31913	33	2	haonan	haonan	PROPN
fcis-31913	33	3	et	et	PROPN
fcis-31913	33	4	al	al	PROPN
fcis-31913	33	5	.	.	PUNCT
fcis-31913	34	1	[	[	X
fcis-31913	34	2	19	19	NUM
fcis-31913	34	3	]	]	PUNCT
fcis-31913	34	4	achieved	achieve	VERB
fcis-31913	34	5	rapid	rapid	ADJ
fcis-31913	34	6	recognition	recognition	NOUN
fcis-31913	34	7	of	of	ADP
fcis-31913	34	8	multiple	multiple	ADJ
fcis-31913	34	9	types	type	NOUN
fcis-31913	34	10	of	of	ADP
fcis-31913	34	11	wood	wood	NOUN
fcis-31913	34	12	defects	defect	NOUN
fcis-31913	34	13	using	use	VERB
fcis-31913	34	14	an	an	DET
fcis-31913	34	15	improved	improved	ADJ
fcis-31913	34	16	yolov5[20	yolov5[20	PROPN
fcis-31913	34	17	]	]	PUNCT
fcis-31913	34	18	model	model	NOUN
fcis-31913	34	19	;	;	PUNCT
fcis-31913	34	20	han	han	PROPN
fcis-31913	34	21	et	et	PROPN
fcis-31913	34	22	al	al	PROPN
fcis-31913	34	23	.	.	PUNCT
fcis-31913	35	1	[	[	X
fcis-31913	35	2	21	21	NUM
fcis-31913	35	3	]	]	PUNCT
fcis-31913	35	4	developed	develop	VERB
fcis-31913	35	5	an	an	DET
fcis-31913	35	6	stc	stc	NOUN
fcis-31913	35	7	-	-	PUNCT
fcis-31913	35	8	yolov5	yolov5	NOUN
fcis-31913	35	9	model	model	NOUN
fcis-31913	35	10	specifically	specifically	ADV
fcis-31913	35	11	for	for	ADP
fcis-31913	35	12	small	small	ADJ
fcis-31913	35	13	object	object	NOUN
fcis-31913	35	14	detection	detection	NOUN
fcis-31913	35	15	issues	issue	NOUN
fcis-31913	35	16	;	;	PUNCT
fcis-31913	35	17	zhang	zhang	PROPN
fcis-31913	35	18	zilei[22	zilei[22	PROPN
fcis-31913	35	19	]	]	PUNCT
fcis-31913	35	20	improved	improve	VERB
fcis-31913	35	21	the	the	DET
fcis-31913	35	22	yolox	yolox	NOUN
fcis-31913	35	23	model	model	NOUN
fcis-31913	35	24	by	by	ADP
fcis-31913	35	25	incorporating	incorporate	VERB
fcis-31913	35	26	adaptive	adaptive	ADJ
fcis-31913	35	27	spatial	spatial	ADJ
fcis-31913	35	28	feature	feature	NOUN
fcis-31913	35	29	fusion	fusion	NOUN
fcis-31913	35	30	(	(	PUNCT
fcis-31913	35	31	assf	assf	ADJ
fcis-31913	35	32	)	)	PUNCT
fcis-31913	36	1	[	[	X
fcis-31913	36	2	23	23	NUM
fcis-31913	36	3	]	]	PUNCT
fcis-31913	36	4	and	and	CCONJ
fcis-31913	36	5	focal	focal	ADJ
fcis-31913	36	6	loss	loss	NOUN
fcis-31913	36	7	[	[	X
fcis-31913	36	8	24	24	NUM
fcis-31913	36	9	]	]	PUNCT
fcis-31913	36	10	,	,	PUNCT
fcis-31913	36	11	thereby	thereby	ADV
fcis-31913	36	12	enhancing	enhance	VERB
fcis-31913	36	13	detection	detection	NOUN
fcis-31913	36	14	performance	performance	NOUN
fcis-31913	36	15	.	.	PUNCT
fcis-31913	37	1	despite	despite	SCONJ
fcis-31913	37	2	significant	significant	ADJ
fcis-31913	37	3	advancements	advancement	NOUN
fcis-31913	37	4	in	in	ADP
fcis-31913	37	5	deep	deep	ADJ
fcis-31913	37	6	learning	learning	NOUN
fcis-31913	37	7	technologies	technology	NOUN
fcis-31913	37	8	for	for	ADP
fcis-31913	37	9	wood	wood	NOUN
fcis-31913	37	10	defect	defect	NOUN
fcis-31913	37	11	detection	detection	NOUN
fcis-31913	37	12	,	,	PUNCT
fcis-31913	37	13	existing	exist	VERB
fcis-31913	37	14	algorithms	algorithm	NOUN
fcis-31913	37	15	still	still	ADV
fcis-31913	37	16	face	face	VERB
fcis-31913	37	17	limitations	limitation	NOUN
fcis-31913	37	18	due	due	ADP
fcis-31913	37	19	to	to	ADP
fcis-31913	37	20	factors	factor	NOUN
fcis-31913	37	21	such	such	ADJ
fcis-31913	37	22	as	as	ADP
fcis-31913	37	23	complex	complex	ADJ
fcis-31913	37	24	texture	texture	ADJ
fcis-31913	37	25	backgrounds	background	NOUN
fcis-31913	37	26	,	,	PUNCT
fcis-31913	37	27	diversity	diversity	NOUN
fcis-31913	37	28	in	in	ADP
fcis-31913	37	29	defect	defect	ADJ
fcis-31913	37	30	types	type	NOUN
fcis-31913	37	31	,	,	PUNCT
fcis-31913	37	32	and	and	CCONJ
fcis-31913	37	33	some	some	DET
fcis-31913	37	34	defects	defect	NOUN
fcis-31913	37	35	being	be	AUX
fcis-31913	37	36	small	small	ADJ
fcis-31913	37	37	in	in	ADP
fcis-31913	37	38	size	size	NOUN
fcis-31913	37	39	.	.	PUNCT
fcis-31913	38	1	therefore	therefore	ADV
fcis-31913	38	2	,	,	PUNCT
fcis-31913	38	3	this	this	DET
fcis-31913	38	4	study	study	NOUN
fcis-31913	38	5	addresses	address	VERB
fcis-31913	38	6	key	key	ADJ
fcis-31913	38	7	issues	issue	NOUN
fcis-31913	38	8	in	in	ADP
fcis-31913	38	9	wood	wood	NOUN
fcis-31913	38	10	defect	defect	NOUN
fcis-31913	38	11	detection	detection	NOUN
fcis-31913	38	12	by	by	ADP
fcis-31913	38	13	proposing	propose	VERB
fcis-31913	38	14	a	a	DET
fcis-31913	38	15	more	more	ADV
fcis-31913	38	16	targeted	targeted	ADJ
fcis-31913	38	17	deep	deep	ADJ
fcis-31913	38	18	learning	learning	NOUN
fcis-31913	38	19	object	object	NOUN
fcis-31913	38	20	detection	detection	NOUN
fcis-31913	38	21	algorithm	algorithm	NOUN
fcis-31913	38	22	aimed	aim	VERB
fcis-31913	38	23	at	at	ADP
fcis-31913	38	24	improving	improve	VERB
fcis-31913	38	25	adaptability	adaptability	NOUN
fcis-31913	38	26	and	and	CCONJ
fcis-31913	38	27	reliability	reliability	NOUN
fcis-31913	38	28	in	in	ADP
fcis-31913	38	29	complex	complex	ADJ
fcis-31913	38	30	scenarios	scenario	NOUN
fcis-31913	38	31	while	while	SCONJ
fcis-31913	38	32	providing	provide	VERB
fcis-31913	38	33	more	more	ADV
fcis-31913	38	34	effective	effective	ADJ
fcis-31913	38	35	technical	technical	ADJ
fcis-31913	38	36	support	support	NOUN
fcis-31913	38	37	for	for	ADP
fcis-31913	38	38	quality	quality	NOUN
fcis-31913	38	39	control	control	NOUN
fcis-31913	38	40	in	in	ADP
fcis-31913	38	41	the	the	DET
fcis-31913	38	42	wood	wood	NOUN
fcis-31913	38	43	industry	industry	NOUN
fcis-31913	38	44	.	.	PUNCT
fcis-31913	39	1	additionally	additionally	ADV
fcis-31913	39	2	,	,	PUNCT
fcis-31913	39	3	this	this	DET
fcis-31913	39	4	research	research	NOUN
fcis-31913	39	5	is	be	AUX
fcis-31913	39	6	innovative	innovative	ADJ
fcis-31913	39	7	in	in	ADP
fcis-31913	39	8	several	several	ADJ
fcis-31913	39	9	ways	way	NOUN
fcis-31913	39	10	:	:	PUNCT
fcis-31913	39	11	it	it	PRON
fcis-31913	39	12	enhances	enhance	VERB
fcis-31913	39	13	multi	multi	ADJ
fcis-31913	39	14	-	-	ADJ
fcis-31913	39	15	scale	scale	ADJ
fcis-31913	39	16	defect	defect	NOUN
fcis-31913	39	17	feature	feature	NOUN
fcis-31913	39	18	representation	representation	NOUN
fcis-31913	39	19	capabilities	capability	NOUN
fcis-31913	39	20	through	through	ADP
fcis-31913	39	21	improved	improved	ADJ
fcis-31913	39	22	network	network	NOUN
fcis-31913	39	23	structures	structure	NOUN
fcis-31913	39	24	;	;	PUNCT
fcis-31913	39	25	combines	combine	VERB
fcis-31913	39	26	data	data	NOUN
fcis-31913	39	27	augmentation	augmentation	NOUN
fcis-31913	39	28	with	with	ADP
fcis-31913	39	29	strategies	strategy	NOUN
fcis-31913	39	30	for	for	ADP
fcis-31913	39	31	optimizing	optimize	VERB
fcis-31913	39	32	imbalanced	imbalanced	ADJ
fcis-31913	39	33	samples	sample	NOUN
fcis-31913	39	34	to	to	PART
fcis-31913	39	35	improve	improve	VERB
fcis-31913	39	36	the	the	DET
fcis-31913	39	37	detection	detection	NOUN
fcis-31913	39	38	performance	performance	NOUN
fcis-31913	39	39	for	for	ADP
fcis-31913	39	40	small	small	ADJ
fcis-31913	39	41	sample	sample	NOUN
fcis-31913	39	42	defects	defect	NOUN
fcis-31913	39	43	;	;	PUNCT
fcis-31913	39	44	while	while	SCONJ
fcis-31913	39	45	ensuring	ensure	VERB
fcis-31913	39	46	accuracy	accuracy	NOUN
fcis-31913	39	47	it	it	PRON
fcis-31913	39	48	also	also	ADV
fcis-31913	39	49	considers	consider	VERB
fcis-31913	39	50	speed	speed	NOUN
fcis-31913	39	51	to	to	PART
fcis-31913	39	52	achieve	achieve	VERB
fcis-31913	39	53	an	an	DET
fcis-31913	39	54	efficient	efficient	ADJ
fcis-31913	39	55	yet	yet	CCONJ
fcis-31913	39	56	robust	robust	ADJ
fcis-31913	39	57	method	method	NOUN
fcis-31913	39	58	for	for	ADP
fcis-31913	39	59	detecting	detect	VERB
fcis-31913	39	60	wood	wood	NOUN
fcis-31913	39	61	surface	surface	NOUN
fcis-31913	39	62	defects	defect	NOUN
fcis-31913	39	63	.	.	PUNCT
fcis-31913	40	1	2	2	X
fcis-31913	40	2	.	.	X
fcis-31913	40	3	improvements	improvement	NOUN
fcis-31913	40	4	to	to	ADP
fcis-31913	40	5	the	the	DET
fcis-31913	40	6	yolov11	yolov11	NOUN
fcis-31913	40	7	network	network	NOUN
fcis-31913	40	8	2.1	2.1	NUM
fcis-31913	40	9	.	.	PUNCT
fcis-31913	41	1	overview	overview	NOUN
fcis-31913	41	2	of	of	ADP
fcis-31913	41	3	the	the	DET
fcis-31913	41	4	yolov11	yolov11	NOUN
fcis-31913	41	5	network	network	NOUN
fcis-31913	41	6	compared	compare	VERB
fcis-31913	41	7	to	to	ADP
fcis-31913	41	8	previous	previous	ADJ
fcis-31913	41	9	yolo	yolo	ADJ
fcis-31913	41	10	series	series	NOUN
fcis-31913	41	11	models	model	NOUN
fcis-31913	41	12	,	,	PUNCT
fcis-31913	41	13	yolov11	yolov11	NOUN
fcis-31913	41	14	has	have	AUX
fcis-31913	41	15	achieved	achieve	VERB
fcis-31913	41	16	significant	significant	ADJ
fcis-31913	41	17	improvements	improvement	NOUN
fcis-31913	41	18	in	in	ADP
fcis-31913	41	19	both	both	DET
fcis-31913	41	20	detection	detection	NOUN
fcis-31913	41	21	accuracy	accuracy	NOUN
fcis-31913	41	22	and	and	CCONJ
fcis-31913	41	23	inference	inference	NOUN
fcis-31913	41	24	speed	speed	NOUN
fcis-31913	41	25	.	.	PUNCT
fcis-31913	42	1	this	this	DET
fcis-31913	42	2	improvement	improvement	NOUN
fcis-31913	42	3	is	be	AUX
fcis-31913	42	4	primarily	primarily	ADV
fcis-31913	42	5	attributed	attribute	VERB
fcis-31913	42	6	to	to	ADP
fcis-31913	42	7	systematic	systematic	ADJ
fcis-31913	42	8	optimizations	optimization	NOUN
fcis-31913	42	9	in	in	ADP
fcis-31913	42	10	its	its	PRON
fcis-31913	42	11	network	network	NOUN
fcis-31913	42	12	architecture	architecture	NOUN
fcis-31913	42	13	.	.	PUNCT
fcis-31913	43	1	the	the	DET
fcis-31913	43	2	overall	overall	ADJ
fcis-31913	43	3	architecture	architecture	NOUN
fcis-31913	43	4	still	still	ADV
fcis-31913	43	5	consists	consist	VERB
fcis-31913	43	6	of	of	ADP
fcis-31913	43	7	a	a	DET
fcis-31913	43	8	backbone	backbone	NOUN
fcis-31913	43	9	,	,	PUNCT
fcis-31913	43	10	neck	neck	NOUN
fcis-31913	43	11	,	,	PUNCT
fcis-31913	43	12	and	and	CCONJ
fcis-31913	43	13	head	head	NOUN
fcis-31913	43	14	,	,	PUNCT
fcis-31913	43	15	but	but	CCONJ
fcis-31913	43	16	innovative	innovative	ADJ
fcis-31913	43	17	designs	design	NOUN
fcis-31913	43	18	have	have	AUX
fcis-31913	43	19	been	be	AUX
fcis-31913	43	20	introduced	introduce	VERB
fcis-31913	43	21	at	at	ADP
fcis-31913	43	22	key	key	ADJ
fcis-31913	43	23	stages	stage	NOUN
fcis-31913	43	24	such	such	ADJ
fcis-31913	43	25	as	as	ADP
fcis-31913	43	26	feature	feature	NOUN
fcis-31913	43	27	extraction	extraction	NOUN
fcis-31913	43	28	,	,	PUNCT
fcis-31913	43	29	information	information	NOUN
fcis-31913	43	30	fusion	fusion	NOUN
fcis-31913	43	31	,	,	PUNCT
fcis-31913	43	32	and	and	CCONJ
fcis-31913	43	33	task	task	NOUN
fcis-31913	43	34	separation	separation	NOUN
fcis-31913	43	35	,	,	PUNCT
fcis-31913	43	36	balancing	balance	VERB
fcis-31913	43	37	detection	detection	NOUN
fcis-31913	43	38	efficiency	efficiency	NOUN
fcis-31913	43	39	and	and	CCONJ
fcis-31913	43	40	robustness	robustness	NOUN
fcis-31913	43	41	.	.	PUNCT
fcis-31913	44	1	in	in	ADP
fcis-31913	44	2	the	the	DET
fcis-31913	44	3	backbone	backbone	NOUN
fcis-31913	44	4	,	,	PUNCT
fcis-31913	44	5	yolov11	yolov11	NOUN
fcis-31913	44	6	replaces	replace	VERB
fcis-31913	44	7	traditional	traditional	ADJ
fcis-31913	44	8	bottleneck	bottleneck	NOUN
fcis-31913	44	9	layers	layer	NOUN
fcis-31913	44	10	with	with	ADP
fcis-31913	44	11	c3k2	c3k2	NOUN
fcis-31913	44	12	modules	module	NOUN
fcis-31913	44	13	to	to	PART
fcis-31913	44	14	effectively	effectively	ADV
fcis-31913	44	15	enhance	enhance	VERB
fcis-31913	44	16	feature	feature	NOUN
fcis-31913	44	17	extraction	extraction	NOUN
fcis-31913	44	18	capabilities	capability	NOUN
fcis-31913	44	19	.	.	PUNCT
fcis-31913	45	1	additionally	additionally	ADV
fcis-31913	45	2	,	,	PUNCT
fcis-31913	45	3	it	it	PRON
fcis-31913	45	4	introduces	introduce	VERB
fcis-31913	45	5	a	a	DET
fcis-31913	45	6	cross	cross	NOUN
fcis-31913	45	7	stage	stage	NOUN
fcis-31913	45	8	partial	partial	ADJ
fcis-31913	45	9	squeeze	squeeze	NOUN
fcis-31913	45	10	-	-	PUNCT
fcis-31913	45	11	and	and	CCONJ
fcis-31913	45	12	-	-	PUNCT
fcis-31913	45	13	attention	attention	NOUN
fcis-31913	45	14	(	(	PUNCT
fcis-31913	45	15	c2psa	c2psa	NOUN
fcis-31913	45	16	)	)	PUNCT
fcis-31913	45	17	module	module	NOUN
fcis-31913	45	18	that	that	PRON
fcis-31913	45	19	focuses	focus	VERB
fcis-31913	45	20	on	on	ADP
fcis-31913	45	21	key	key	ADJ
fcis-31913	45	22	information	information	NOUN
fcis-31913	45	23	and	and	CCONJ
fcis-31913	45	24	suppresses	suppress	VERB
fcis-31913	45	25	redundant	redundant	ADJ
fcis-31913	45	26	noise	noise	NOUN
fcis-31913	45	27	through	through	ADP
fcis-31913	45	28	pyramid	pyramid	NOUN
fcis-31913	45	29	decomposition	decomposition	NOUN
fcis-31913	45	30	and	and	CCONJ
fcis-31913	45	31	weighting	weight	VERB
fcis-31913	45	32	mechanisms	mechanism	NOUN
fcis-31913	45	33	to	to	PART
fcis-31913	45	34	improve	improve	VERB
fcis-31913	45	35	detection	detection	NOUN
fcis-31913	45	36	accuracy	accuracy	NOUN
fcis-31913	45	37	and	and	CCONJ
fcis-31913	45	38	robustness	robustness	NOUN
fcis-31913	45	39	.	.	PUNCT
fcis-31913	46	1	combined	combine	VERB
fcis-31913	46	2	with	with	ADP
fcis-31913	46	3	spatial	spatial	ADJ
fcis-31913	46	4	pyramid	pyramid	NOUN
fcis-31913	46	5	pooling	pool	VERB
fcis-31913	46	6	fast	fast	ADJ
fcis-31913	46	7	(	(	PUNCT
fcis-31913	46	8	sppf	sppf	ADJ
fcis-31913	46	9	)	)	PUNCT
fcis-31913	46	10	,	,	PUNCT
fcis-31913	46	11	this	this	PRON
fcis-31913	46	12	further	far	ADV
fcis-31913	46	13	strengthens	strengthen	VERB
fcis-31913	46	14	the	the	DET
fcis-31913	46	15	model	model	NOUN
fcis-31913	46	16	’s	’s	PART
fcis-31913	46	17	ability	ability	NOUN
fcis-31913	46	18	to	to	PART
fcis-31913	46	19	express	express	VERB
fcis-31913	46	20	multi	multi	ADJ
fcis-31913	46	21	-	-	ADJ
fcis-31913	46	22	scale	scale	ADJ
fcis-31913	46	23	features	feature	NOUN
fcis-31913	46	24	.	.	PUNCT
fcis-31913	47	1	the	the	DET
fcis-31913	47	2	neck	neck	NOUN
fcis-31913	47	3	section	section	NOUN
fcis-31913	47	4	continues	continue	VERB
fcis-31913	47	5	the	the	DET
fcis-31913	47	6	c3k2	c3k2	PROPN
fcis-31913	47	7	design	design	NOUN
fcis-31913	47	8	while	while	SCONJ
fcis-31913	47	9	optimizing	optimize	VERB
fcis-31913	47	10	the	the	DET
fcis-31913	47	11	feature	feature	NOUN
fcis-31913	47	12	fusion	fusion	NOUN
fcis-31913	47	13	strategy	strategy	NOUN
fcis-31913	47	14	for	for	ADP
fcis-31913	47	15	efficient	efficient	ADJ
fcis-31913	47	16	integration	integration	NOUN
fcis-31913	47	17	of	of	ADP
fcis-31913	47	18	crosslayer	crosslayer	NOUN
fcis-31913	47	19	features	feature	NOUN
fcis-31913	47	20	,	,	PUNCT
fcis-31913	47	21	thereby	thereby	ADV
fcis-31913	47	22	enhancing	enhance	VERB
fcis-31913	47	23	adaptability	adaptability	NOUN
fcis-31913	47	24	to	to	ADP
fcis-31913	47	25	targets	target	NOUN
fcis-31913	47	26	of	of	ADP
fcis-31913	47	27	different	different	ADJ
fcis-31913	47	28	sizes	size	NOUN
fcis-31913	47	29	.	.	PUNCT
fcis-31913	48	1	the	the	DET
fcis-31913	48	2	head	head	NOUN
fcis-31913	48	3	section	section	NOUN
fcis-31913	48	4	employs	employ	VERB
fcis-31913	48	5	a	a	DET
fcis-31913	48	6	decoupled	decouple	VERB
fcis-31913	48	7	structure	structure	NOUN
fcis-31913	48	8	that	that	PRON
fcis-31913	48	9	separates	separate	VERB
fcis-31913	48	10	classification	classification	NOUN
fcis-31913	48	11	and	and	CCONJ
fcis-31913	48	12	regression	regression	NOUN
fcis-31913	48	13	tasks	task	NOUN
fcis-31913	48	14	:	:	PUNCT
fcis-31913	48	15	the	the	DET
fcis-31913	48	16	regression	regression	NOUN
fcis-31913	48	17	head	head	NOUN
fcis-31913	48	18	uses	use	VERB
fcis-31913	48	19	conventional	conventional	ADJ
fcis-31913	48	20	convolution	convolution	NOUN
fcis-31913	48	21	for	for	ADP
fcis-31913	48	22	bounding	bound	VERB
fcis-31913	48	23	box	box	NOUN
fcis-31913	48	24	prediction	prediction	NOUN
fcis-31913	48	25	,	,	PUNCT
fcis-31913	48	26	while	while	SCONJ
fcis-31913	48	27	the	the	DET
fcis-31913	48	28	classification	classification	NOUN
fcis-31913	48	29	head	head	NOUN
fcis-31913	48	30	introduces	introduce	VERB
fcis-31913	48	31	depthwise	depthwise	NOUN
fcis-31913	48	32	separable	separable	ADJ
fcis-31913	48	33	convolution	convolution	NOUN
fcis-31913	48	34	(	(	PUNCT
fcis-31913	48	35	dwconv)[25	dwconv)[25	PROPN
fcis-31913	48	36	]	]	PUNCT
fcis-31913	48	37	,	,	PUNCT
fcis-31913	48	38	significantly	significantly	ADV
fcis-31913	48	39	reducing	reduce	VERB
fcis-31913	48	40	parameter	parameter	NOUN
fcis-31913	48	41	size	size	NOUN
fcis-31913	48	42	and	and	CCONJ
fcis-31913	48	43	computational	computational	ADJ
fcis-31913	48	44	complexity	complexity	NOUN
fcis-31913	48	45	while	while	SCONJ
fcis-31913	48	46	maintaining	maintain	VERB
fcis-31913	48	47	recognition	recognition	NOUN
fcis-31913	48	48	accuracy	accuracy	NOUN
fcis-31913	48	49	and	and	CCONJ
fcis-31913	48	50	enhancing	enhance	VERB
fcis-31913	48	51	overall	overall	ADJ
fcis-31913	48	52	inference	inference	NOUN
fcis-31913	48	53	efficiency	efficiency	NOUN
fcis-31913	48	54	.	.	PUNCT
fcis-31913	49	1	in	in	ADP
fcis-31913	49	2	summary	summary	NOUN
fcis-31913	49	3	,	,	PUNCT
fcis-31913	49	4	yolov11	yolov11	NOUN
fcis-31913	49	5	implements	implement	NOUN
fcis-31913	49	6	targeted	target	VERB
fcis-31913	49	7	improvements	improvement	NOUN
fcis-31913	49	8	at	at	ADP
fcis-31913	49	9	multiple	multiple	ADJ
fcis-31913	49	10	critical	critical	ADJ
fcis-31913	49	11	stages	stage	NOUN
fcis-31913	49	12	of	of	ADP
fcis-31913	49	13	its	its	PRON
fcis-31913	49	14	network	network	NOUN
fcis-31913	49	15	structure	structure	NOUN
fcis-31913	49	16	,	,	PUNCT
fcis-31913	49	17	achieving	achieve	VERB
fcis-31913	49	18	a	a	DET
fcis-31913	49	19	coordinated	coordinated	ADJ
fcis-31913	49	20	optimization	optimization	NOUN
fcis-31913	49	21	of	of	ADP
fcis-31913	49	22	detection	detection	NOUN
fcis-31913	49	23	accuracy	accuracy	NOUN
fcis-31913	49	24	,	,	PUNCT
fcis-31913	49	25	speed	speed	NOUN
fcis-31913	49	26	,	,	PUNCT
fcis-31913	49	27	and	and	CCONJ
fcis-31913	49	28	robustness	robustness	NOUN
fcis-31913	49	29	.	.	PUNCT
fcis-31913	50	1	its	its	PRON
fcis-31913	50	2	approach	approach	NOUN
fcis-31913	50	3	not	not	PART
fcis-31913	50	4	only	only	ADV
fcis-31913	50	5	possesses	possess	VERB
fcis-31913	50	6	application	application	NOUN
fcis-31913	50	7	potential	potential	NOUN
fcis-31913	50	8	in	in	ADP
fcis-31913	50	9	general	general	ADJ
fcis-31913	50	10	object	object	NOUN
fcis-31913	50	11	detection	detection	NOUN
fcis-31913	50	12	tasks	task	NOUN
fcis-31913	50	13	but	but	CCONJ
fcis-31913	50	14	also	also	ADV
fcis-31913	50	15	provides	provide	VERB
fcis-31913	50	16	new	new	ADJ
fcis-31913	50	17	ideas	idea	NOUN
fcis-31913	50	18	and	and	CCONJ
fcis-31913	50	19	technical	technical	ADJ
fcis-31913	50	20	support	support	NOUN
fcis-31913	50	21	for	for	ADP
fcis-31913	50	22	real	real	ADJ
fcis-31913	50	23	-	-	PUNCT
fcis-31913	50	24	time	time	NOUN
fcis-31913	50	25	detection	detection	NOUN
fcis-31913	50	26	research	research	NOUN
fcis-31913	50	27	in	in	ADP
fcis-31913	50	28	complex	complex	ADJ
fcis-31913	50	29	scenarios	scenario	NOUN
fcis-31913	50	30	.	.	PUNCT
fcis-31913	51	1	figure	figure	NOUN
fcis-31913	51	2	1	1	NUM
fcis-31913	51	3	.	.	PUNCT
fcis-31913	51	4	yolov11	yolov11	NOUN
fcis-31913	51	5	network	network	NOUN
fcis-31913	51	6	structure	structure	NOUN
fcis-31913	51	7	2.2	2.2	NUM
fcis-31913	51	8	.	.	PUNCT
fcis-31913	51	9	yolov11	yolov11	NOUN
fcis-31913	51	10	-	-	PUNCT
fcis-31913	51	11	rabra	rabra	NOUN
fcis-31913	51	12	algorithm	algorithm	NOUN
fcis-31913	51	13	network	network	NOUN
fcis-31913	51	14	in	in	ADP
fcis-31913	51	15	wood	wood	NOUN
fcis-31913	51	16	surface	surface	NOUN
fcis-31913	51	17	defect	defect	NOUN
fcis-31913	51	18	detection	detection	NOUN
fcis-31913	51	19	,	,	PUNCT
fcis-31913	51	20	although	although	SCONJ
fcis-31913	51	21	yolov11	yolov11	NOUN
fcis-31913	51	22	achieves	achieve	VERB
fcis-31913	51	23	a	a	DET
fcis-31913	51	24	good	good	ADJ
fcis-31913	51	25	balance	balance	NOUN
fcis-31913	51	26	between	between	ADP
fcis-31913	51	27	detection	detection	NOUN
fcis-31913	51	28	accuracy	accuracy	NOUN
fcis-31913	51	29	and	and	CCONJ
fcis-31913	51	30	inference	inference	NOUN
fcis-31913	51	31	speed	speed	NOUN
fcis-31913	51	32	,	,	PUNCT
fcis-31913	51	33	it	it	PRON
fcis-31913	51	34	still	still	ADV
fcis-31913	51	35	has	have	VERB
fcis-31913	51	36	certain	certain	ADJ
fcis-31913	51	37	limitations	limitation	NOUN
fcis-31913	51	38	under	under	ADP
fcis-31913	51	39	complex	complex	ADJ
fcis-31913	51	40	texture	texture	ADJ
fcis-31913	51	41	backgrounds	background	NOUN
fcis-31913	51	42	,	,	PUNCT
fcis-31913	51	43	particularly	particularly	ADV
fcis-31913	51	44	in	in	ADP
fcis-31913	51	45	recognizing	recognize	VERB
fcis-31913	51	46	millimeterscale	millimeterscale	NOUN
fcis-31913	51	47	cracks	crack	NOUN
fcis-31913	51	48	,	,	PUNCT
fcis-31913	51	49	small	small	ADJ
fcis-31913	51	50	knots	knot	NOUN
fcis-31913	51	51	,	,	PUNCT
fcis-31913	51	52	and	and	CCONJ
fcis-31913	51	53	multi	multi	ADJ
fcis-31913	51	54	-	-	ADJ
fcis-31913	51	55	scale	scale	ADJ
fcis-31913	51	56	defects	defect	NOUN
fcis-31913	51	57	,	,	PUNCT
fcis-31913	51	58	leading	lead	VERB
fcis-31913	51	59	to	to	ADP
fcis-31913	51	60	potential	potential	ADJ
fcis-31913	51	61	loss	loss	NOUN
fcis-31913	51	62	of	of	ADP
fcis-31913	51	63	detail	detail	NOUN
fcis-31913	51	64	features	feature	NOUN
fcis-31913	51	65	and	and	CCONJ
fcis-31913	51	66	false	false	ADJ
fcis-31913	51	67	detections	detection	NOUN
fcis-31913	51	68	.	.	PUNCT
fcis-31913	52	1	to	to	PART
fcis-31913	52	2	address	address	VERB
fcis-31913	52	3	these	these	DET
fcis-31913	52	4	issues	issue	NOUN
fcis-31913	52	5	,	,	PUNCT
fcis-31913	52	6	this	this	DET
fcis-31913	52	7	paper	paper	NOUN
fcis-31913	52	8	proposes	propose	VERB
fcis-31913	52	9	an	an	DET
fcis-31913	52	10	improved	improved	ADJ
fcis-31913	52	11	algorithm	algorithm	NOUN
fcis-31913	52	12	called	call	VERB
fcis-31913	52	13	yolov11	yolov11	NOUN
fcis-31913	52	14	-	-	PUNCT
fcis-31913	52	15	rabra	rabra	NOUN
fcis-31913	52	16	.	.	PUNCT
fcis-31913	53	1	in	in	ADP
fcis-31913	53	2	the	the	DET
fcis-31913	53	3	backbone	backbone	NOUN
fcis-31913	53	4	section	section	NOUN
fcis-31913	53	5	,	,	PUNCT
fcis-31913	53	6	the	the	DET
fcis-31913	53	7	original	original	ADJ
fcis-31913	53	8	c3k2	c3k2	NOUN
fcis-31913	53	9	is	be	AUX
fcis-31913	53	10	replaced	replace	VERB
fcis-31913	53	11	with	with	ADP
fcis-31913	53	12	a	a	DET
fcis-31913	53	13	c3k2_repvgg	c3k2_repvgg	NOUN
fcis-31913	53	14	module	module	NOUN
fcis-31913	53	15	that	that	PRON
fcis-31913	53	16	integrates	integrate	VERB
fcis-31913	53	17	repvgg	repvgg	NOUN
fcis-31913	53	18	structures	structure	NOUN
fcis-31913	53	19	to	to	PART
fcis-31913	53	20	enhance	enhance	VERB
fcis-31913	53	21	feature	feature	NOUN
fcis-31913	53	22	52	52	NUM
fcis-31913	53	23	extraction	extraction	NOUN
fcis-31913	53	24	capabilities	capability	NOUN
fcis-31913	53	25	through	through	ADP
fcis-31913	53	26	a	a	DET
fcis-31913	53	27	multi	multi	ADJ
fcis-31913	53	28	-	-	ADJ
fcis-31913	53	29	branch	branch	ADJ
fcis-31913	53	30	structure	structure	NOUN
fcis-31913	53	31	during	during	ADP
fcis-31913	53	32	training	training	NOUN
fcis-31913	53	33	while	while	SCONJ
fcis-31913	53	34	balancing	balance	VERB
fcis-31913	53	35	speed	speed	NOUN
fcis-31913	53	36	and	and	CCONJ
fcis-31913	53	37	accuracy	accuracy	NOUN
fcis-31913	53	38	through	through	ADP
fcis-31913	53	39	structural	structural	ADJ
fcis-31913	53	40	reparameterization	reparameterization	NOUN
fcis-31913	53	41	during	during	ADP
fcis-31913	53	42	inference	inference	NOUN
fcis-31913	53	43	;	;	PUNCT
fcis-31913	53	44	an	an	DET
fcis-31913	53	45	adown	adown	NOUN
fcis-31913	53	46	method	method	NOUN
fcis-31913	53	47	is	be	AUX
fcis-31913	53	48	introduced	introduce	VERB
fcis-31913	53	49	to	to	PART
fcis-31913	53	50	prevent	prevent	VERB
fcis-31913	53	51	loss	loss	NOUN
fcis-31913	53	52	of	of	ADP
fcis-31913	53	53	fine	fine	ADJ
fcis-31913	53	54	crack	crack	NOUN
fcis-31913	53	55	features	feature	NOUN
fcis-31913	53	56	caused	cause	VERB
fcis-31913	53	57	by	by	ADP
fcis-31913	53	58	traditional	traditional	ADJ
fcis-31913	53	59	convolution	convolution	NOUN
fcis-31913	53	60	compression	compression	NOUN
fcis-31913	53	61	;	;	PUNCT
fcis-31913	53	62	simultaneously	simultaneously	ADV
fcis-31913	53	63	,	,	PUNCT
fcis-31913	53	64	the	the	DET
fcis-31913	53	65	c2bra	c2bra	NOUN
fcis-31913	53	66	module	module	NOUN
fcis-31913	53	67	replaces	replace	VERB
fcis-31913	53	68	c2psa	c2psa	NOUN
fcis-31913	53	69	to	to	PART
fcis-31913	53	70	optimize	optimize	VERB
fcis-31913	53	71	the	the	DET
fcis-31913	53	72	attention	attention	NOUN
fcis-31913	53	73	coordination	coordination	NOUN
fcis-31913	53	74	mechanism	mechanism	NOUN
fcis-31913	53	75	that	that	PRON
fcis-31913	53	76	highlights	highlight	VERB
fcis-31913	53	77	defect	defect	NOUN
fcis-31913	53	78	areas	area	NOUN
fcis-31913	53	79	while	while	SCONJ
fcis-31913	53	80	suppressing	suppress	VERB
fcis-31913	53	81	background	background	NOUN
fcis-31913	53	82	interference	interference	NOUN
fcis-31913	53	83	effectively	effectively	ADV
fcis-31913	53	84	reducing	reduce	VERB
fcis-31913	53	85	missed	miss	VERB
fcis-31913	53	86	detections	detection	NOUN
fcis-31913	53	87	and	and	CCONJ
fcis-31913	53	88	false	false	ADJ
fcis-31913	53	89	positives	positive	NOUN
fcis-31913	53	90	.	.	PUNCT
fcis-31913	54	1	in	in	ADP
fcis-31913	54	2	the	the	DET
fcis-31913	54	3	head	head	NOUN
fcis-31913	54	4	section	section	NOUN
fcis-31913	54	5	,	,	PUNCT
fcis-31913	54	6	the	the	DET
fcis-31913	54	7	feature	feature	NOUN
fcis-31913	54	8	fusion	fusion	NOUN
fcis-31913	54	9	layer	layer	NOUN
fcis-31913	54	10	is	be	AUX
fcis-31913	54	11	changed	change	VERB
fcis-31913	54	12	from	from	ADP
fcis-31913	54	13	c3k2	c3k2	NOUN
fcis-31913	54	14	to	to	AUX
fcis-31913	54	15	c3k2_repvgg	c3k2_repvgg	VERB
fcis-31913	54	16	to	to	PART
fcis-31913	54	17	maintain	maintain	VERB
fcis-31913	54	18	consistent	consistent	ADJ
fcis-31913	54	19	feature	feature	NOUN
fcis-31913	54	20	processing	processing	NOUN
fcis-31913	54	21	logic	logic	NOUN
fcis-31913	54	22	while	while	SCONJ
fcis-31913	54	23	efficiently	efficiently	ADV
fcis-31913	54	24	aggregating	aggregate	VERB
fcis-31913	54	25	small	small	ADJ
fcis-31913	54	26	,	,	PUNCT
fcis-31913	54	27	medium	medium	ADJ
fcis-31913	54	28	,	,	PUNCT
fcis-31913	54	29	and	and	CCONJ
fcis-31913	54	30	large	large	ADJ
fcis-31913	54	31	-	-	PUNCT
fcis-31913	54	32	scale	scale	NOUN
fcis-31913	54	33	features	feature	NOUN
fcis-31913	54	34	during	during	ADP
fcis-31913	54	35	multi	multi	ADJ
fcis-31913	54	36	-	-	ADJ
fcis-31913	54	37	scale	scale	ADJ
fcis-31913	54	38	fusion	fusion	NOUN
fcis-31913	54	39	for	for	ADP
fcis-31913	54	40	accurate	accurate	ADJ
fcis-31913	54	41	identification	identification	NOUN
fcis-31913	54	42	of	of	ADP
fcis-31913	54	43	defects	defect	NOUN
fcis-31913	54	44	such	such	ADJ
fcis-31913	54	45	as	as	ADP
fcis-31913	54	46	cracks	crack	NOUN
fcis-31913	54	47	,	,	PUNCT
fcis-31913	54	48	knots	knot	NOUN
fcis-31913	54	49	,	,	PUNCT
fcis-31913	54	50	and	and	CCONJ
fcis-31913	54	51	extensive	extensive	ADJ
fcis-31913	54	52	decay	decay	NOUN
fcis-31913	54	53	.	.	PUNCT
fcis-31913	55	1	the	the	DET
fcis-31913	55	2	overall	overall	ADJ
fcis-31913	55	3	structure	structure	NOUN
fcis-31913	55	4	of	of	ADP
fcis-31913	55	5	yolov11rabra	yolov11rabra	PROPN
fcis-31913	55	6	is	be	AUX
fcis-31913	55	7	illustrated	illustrate	VERB
fcis-31913	55	8	in	in	ADP
fcis-31913	55	9	figure	figure	NOUN
fcis-31913	55	10	2	2	NUM
fcis-31913	55	11	.	.	PUNCT
fcis-31913	55	12	through	through	ADP
fcis-31913	55	13	these	these	DET
fcis-31913	55	14	improvements	improvement	NOUN
fcis-31913	55	15	,	,	PUNCT
fcis-31913	55	16	yolov11	yolov11	NOUN
fcis-31913	55	17	-	-	PUNCT
fcis-31913	55	18	rabra	rabra	NOUN
fcis-31913	55	19	achieves	achieve	VERB
fcis-31913	55	20	simultaneous	simultaneous	ADJ
fcis-31913	55	21	enhancements	enhancement	NOUN
fcis-31913	55	22	in	in	ADP
fcis-31913	55	23	detection	detection	NOUN
fcis-31913	55	24	accuracy	accuracy	NOUN
fcis-31913	55	25	and	and	CCONJ
fcis-31913	55	26	inference	inference	NOUN
fcis-31913	55	27	efficiency	efficiency	NOUN
fcis-31913	55	28	in	in	ADP
fcis-31913	55	29	wood	wood	NOUN
fcis-31913	55	30	defect	defect	NOUN
fcis-31913	55	31	detection	detection	NOUN
fcis-31913	55	32	,	,	PUNCT
fcis-31913	55	33	particularly	particularly	ADV
fcis-31913	55	34	demonstrating	demonstrate	VERB
fcis-31913	55	35	greater	great	ADJ
fcis-31913	55	36	adaptability	adaptability	NOUN
fcis-31913	55	37	and	and	CCONJ
fcis-31913	55	38	robustness	robustness	NOUN
fcis-31913	55	39	in	in	ADP
fcis-31913	55	40	recognizing	recognize	VERB
fcis-31913	55	41	fine	fine	ADJ
fcis-31913	55	42	cracks	crack	NOUN
fcis-31913	55	43	and	and	CCONJ
fcis-31913	55	44	multi	multi	ADJ
fcis-31913	55	45	-	-	ADJ
fcis-31913	55	46	scale	scale	ADJ
fcis-31913	55	47	defects	defect	NOUN
fcis-31913	55	48	.	.	PUNCT
fcis-31913	56	1	this	this	DET
fcis-31913	56	2	model	model	NOUN
fcis-31913	56	3	embodies	embody	VERB
fcis-31913	56	4	both	both	PRON
fcis-31913	56	5	theoretical	theoretical	ADJ
fcis-31913	56	6	innovation	innovation	NOUN
fcis-31913	56	7	and	and	CCONJ
fcis-31913	56	8	engineering	engineering	NOUN
fcis-31913	56	9	application	application	NOUN
fcis-31913	56	10	value	value	NOUN
fcis-31913	56	11	,	,	PUNCT
fcis-31913	56	12	providing	provide	VERB
fcis-31913	56	13	a	a	DET
fcis-31913	56	14	feasible	feasible	ADJ
fcis-31913	56	15	solution	solution	NOUN
fcis-31913	56	16	for	for	ADP
fcis-31913	56	17	efficient	efficient	ADJ
fcis-31913	56	18	intelligent	intelligent	ADJ
fcis-31913	56	19	detection	detection	NOUN
fcis-31913	56	20	in	in	ADP
fcis-31913	56	21	the	the	DET
fcis-31913	56	22	wood	wood	NOUN
fcis-31913	56	23	industry	industry	NOUN
fcis-31913	56	24	.	.	PUNCT
fcis-31913	57	1	figure	figure	NOUN
fcis-31913	57	2	2	2	NUM
fcis-31913	57	3	.	.	PUNCT
fcis-31913	57	4	yolov11	yolov11	NOUN
fcis-31913	57	5	-	-	PUNCT
fcis-31913	57	6	rabra	rabra	NOUN
fcis-31913	57	7	network	network	NOUN
fcis-31913	57	8	structure	structure	NOUN
fcis-31913	57	9	3	3	NUM
fcis-31913	57	10	.	.	PUNCT
fcis-31913	57	11	algorithm	algorithm	PROPN
fcis-31913	57	12	improvements	improvement	VERB
fcis-31913	57	13	3.1	3.1	NUM
fcis-31913	57	14	.	.	PUNCT
fcis-31913	58	1	feature	feature	NOUN
fcis-31913	58	2	fusion	fusion	NOUN
fcis-31913	58	3	module	module	NOUN
fcis-31913	58	4	based	base	VERB
fcis-31913	58	5	on	on	ADP
fcis-31913	58	6	structural	structural	ADJ
fcis-31913	58	7	reparameterization	reparameterization	NOUN
fcis-31913	58	8	and	and	CCONJ
fcis-31913	58	9	dual	dual	ADJ
fcis-31913	58	10	feature	feature	NOUN
fcis-31913	58	11	fusion	fusion	NOUN
fcis-31913	58	12	custom	custom	NOUN
fcis-31913	58	13	convolution	convolution	NOUN
fcis-31913	58	14	(	(	PUNCT
fcis-31913	58	15	c3k2_repvgg	c3k2_repvgg	NOUN
fcis-31913	58	16	)	)	PUNCT
fcis-31913	58	17	the	the	DET
fcis-31913	58	18	feature	feature	NOUN
fcis-31913	58	19	extraction	extraction	NOUN
fcis-31913	58	20	capability	capability	NOUN
fcis-31913	58	21	of	of	ADP
fcis-31913	58	22	the	the	DET
fcis-31913	58	23	c3k2	c3k2	NOUN
fcis-31913	58	24	module	module	NOUN
fcis-31913	58	25	in	in	ADP
fcis-31913	58	26	yolov11	yolov11	NOUN
fcis-31913	58	27	is	be	AUX
fcis-31913	58	28	limited	limit	VERB
fcis-31913	58	29	,	,	PUNCT
fcis-31913	58	30	and	and	CCONJ
fcis-31913	58	31	the	the	DET
fcis-31913	58	32	efficiency	efficiency	NOUN
fcis-31913	58	33	of	of	ADP
fcis-31913	58	34	multi	multi	ADJ
fcis-31913	58	35	-	-	ADJ
fcis-31913	58	36	scale	scale	ADJ
fcis-31913	58	37	feature	feature	NOUN
fcis-31913	58	38	fusion	fusion	NOUN
fcis-31913	58	39	is	be	AUX
fcis-31913	58	40	low	low	ADJ
fcis-31913	58	41	,	,	PUNCT
fcis-31913	58	42	resulting	result	VERB
fcis-31913	58	43	in	in	ADP
fcis-31913	58	44	uneven	uneven	ADJ
fcis-31913	58	45	detection	detection	NOUN
fcis-31913	58	46	accuracy	accuracy	NOUN
fcis-31913	58	47	for	for	ADP
fcis-31913	58	48	defects	defect	NOUN
fcis-31913	58	49	of	of	ADP
fcis-31913	58	50	varying	vary	VERB
fcis-31913	58	51	sizes	size	NOUN
fcis-31913	58	52	and	and	CCONJ
fcis-31913	58	53	shapes	shape	NOUN
fcis-31913	58	54	,	,	PUNCT
fcis-31913	58	55	making	make	VERB
fcis-31913	58	56	it	it	PRON
fcis-31913	58	57	difficult	difficult	ADJ
fcis-31913	58	58	to	to	PART
fcis-31913	58	59	balance	balance	VERB
fcis-31913	58	60	complex	complex	ADJ
fcis-31913	58	61	texture	texture	ADJ
fcis-31913	58	62	feature	feature	NOUN
fcis-31913	58	63	learning	learn	VERB
fcis-31913	58	64	with	with	ADP
fcis-31913	58	65	inference	inference	NOUN
fcis-31913	58	66	speed	speed	NOUN
fcis-31913	58	67	.	.	PUNCT
fcis-31913	59	1	to	to	PART
fcis-31913	59	2	address	address	VERB
fcis-31913	59	3	this	this	PRON
fcis-31913	59	4	,	,	PUNCT
fcis-31913	59	5	this	this	DET
fcis-31913	59	6	paper	paper	NOUN
fcis-31913	59	7	combines	combine	VERB
fcis-31913	59	8	the	the	DET
fcis-31913	59	9	reparameterization	reparameterization	NOUN
fcis-31913	59	10	advantages	advantage	NOUN
fcis-31913	59	11	of	of	ADP
fcis-31913	59	12	repvgg	repvgg	NOUN
fcis-31913	59	13	with	with	ADP
fcis-31913	59	14	feature	feature	NOUN
fcis-31913	59	15	fusion	fusion	NOUN
fcis-31913	59	16	optimization	optimization	NOUN
fcis-31913	59	17	concepts	concept	NOUN
fcis-31913	59	18	to	to	PART
fcis-31913	59	19	design	design	VERB
fcis-31913	59	20	the	the	DET
fcis-31913	59	21	c3k2_repvgg	c3k2_repvgg	NOUN
fcis-31913	59	22	module	module	NOUN
fcis-31913	59	23	for	for	ADP
fcis-31913	59	24	performance	performance	NOUN
fcis-31913	59	25	breakthroughs	breakthrough	NOUN
fcis-31913	59	26	.	.	PUNCT
fcis-31913	60	1	as	as	ADP
fcis-31913	60	2	a	a	DET
fcis-31913	60	3	lightweight	lightweight	ADJ
fcis-31913	60	4	neural	neural	ADJ
fcis-31913	60	5	network	network	NOUN
fcis-31913	60	6	,	,	PUNCT
fcis-31913	60	7	repvgg	repvgg	PROPN
fcis-31913	60	8	achieves	achieve	VERB
fcis-31913	60	9	a	a	DET
fcis-31913	60	10	synergistic	synergistic	ADJ
fcis-31913	60	11	optimization	optimization	NOUN
fcis-31913	60	12	of	of	ADP
fcis-31913	60	13	efficiency	efficiency	NOUN
fcis-31913	60	14	and	and	CCONJ
fcis-31913	60	15	performance	performance	NOUN
fcis-31913	60	16	through	through	ADP
fcis-31913	60	17	the	the	DET
fcis-31913	60	18	separation	separation	NOUN
fcis-31913	60	19	of	of	ADP
fcis-31913	60	20	training	training	NOUN
fcis-31913	60	21	and	and	CCONJ
fcis-31913	60	22	inference	inference	NOUN
fcis-31913	60	23	.	.	PUNCT
fcis-31913	61	1	during	during	ADP
fcis-31913	61	2	the	the	DET
fcis-31913	61	3	training	training	NOUN
fcis-31913	61	4	phase	phase	NOUN
fcis-31913	61	5	,	,	PUNCT
fcis-31913	61	6	it	it	PRON
fcis-31913	61	7	borrows	borrow	VERB
fcis-31913	61	8	from	from	ADP
fcis-31913	61	9	the	the	DET
fcis-31913	61	10	residual	residual	ADJ
fcis-31913	61	11	concepts	concept	NOUN
fcis-31913	61	12	of	of	ADP
fcis-31913	61	13	resnet	resnet	NOUN
fcis-31913	61	14	to	to	PART
fcis-31913	61	15	construct	construct	VERB
fcis-31913	61	16	a	a	DET
fcis-31913	61	17	parallel	parallel	ADJ
fcis-31913	61	18	structure	structure	NOUN
fcis-31913	61	19	consisting	consist	VERB
fcis-31913	61	20	of	of	ADP
fcis-31913	61	21	a	a	DET
fcis-31913	61	22	3×3	3×3	NUM
fcis-31913	61	23	dense	dense	ADJ
fcis-31913	61	24	convolution	convolution	NOUN
fcis-31913	61	25	branch	branch	NOUN
fcis-31913	61	26	,	,	PUNCT
fcis-31913	61	27	a	a	DET
fcis-31913	61	28	1×1	1×1	ADJ
fcis-31913	61	29	local	local	ADJ
fcis-31913	61	30	branch	branch	NOUN
fcis-31913	61	31	,	,	PUNCT
fcis-31913	61	32	and	and	CCONJ
fcis-31913	61	33	an	an	DET
fcis-31913	61	34	identity	identity	NOUN
fcis-31913	61	35	mapping	mapping	NOUN
fcis-31913	61	36	branch	branch	NOUN
fcis-31913	61	37	to	to	PART
fcis-31913	61	38	enhance	enhance	VERB
fcis-31913	61	39	multi	multi	ADJ
fcis-31913	61	40	-	-	ADJ
fcis-31913	61	41	level	level	ADJ
fcis-31913	61	42	semantic	semantic	ADJ
fcis-31913	61	43	representation	representation	NOUN
fcis-31913	61	44	,	,	PUNCT
fcis-31913	61	45	as	as	SCONJ
fcis-31913	61	46	shown	show	VERB
fcis-31913	61	47	in	in	ADP
fcis-31913	61	48	figure	figure	NOUN
fcis-31913	61	49	3	3	NUM
fcis-31913	61	50	.	.	PUNCT
fcis-31913	62	1	in	in	ADP
fcis-31913	62	2	the	the	DET
fcis-31913	62	3	inference	inference	NOUN
fcis-31913	62	4	phase	phase	NOUN
fcis-31913	62	5	,	,	PUNCT
fcis-31913	62	6	structural	structural	ADJ
fcis-31913	62	7	reparameterization	reparameterization	NOUN
fcis-31913	62	8	techniques	technique	NOUN
fcis-31913	62	9	are	be	AUX
fcis-31913	62	10	employed	employ	VERB
fcis-31913	62	11	to	to	PART
fcis-31913	62	12	enhance	enhance	VERB
fcis-31913	62	13	efficiency	efficiency	NOUN
fcis-31913	62	14	through	through	ADP
fcis-31913	62	15	two	two	NUM
fcis-31913	62	16	conversion	conversion	NOUN
fcis-31913	62	17	steps	step	NOUN
fcis-31913	62	18	:	:	PUNCT
fcis-31913	62	19	first	first	ADV
fcis-31913	62	20	,	,	PUNCT
fcis-31913	62	21	mathematically	mathematically	ADV
fcis-31913	62	22	merging	merge	VERB
fcis-31913	62	23	conv2d	conv2d	PROPN
fcis-31913	62	24	and	and	CCONJ
fcis-31913	62	25	bn	bn	ADP
fcis-31913	62	26	layers	layer	NOUN
fcis-31913	62	27	into	into	ADP
fcis-31913	62	28	a	a	DET
fcis-31913	62	29	single	single	ADJ
fcis-31913	62	30	3×3	3×3	NUM
fcis-31913	62	31	convolution	convolution	NOUN
fcis-31913	62	32	layer	layer	NOUN
fcis-31913	62	33	while	while	SCONJ
fcis-31913	62	34	constructing	construct	VERB
fcis-31913	62	35	an	an	DET
fcis-31913	62	36	equivalent	equivalent	ADJ
fcis-31913	62	37	identity	identity	NOUN
fcis-31913	62	38	mapping	mapping	NOUN
fcis-31913	62	39	convolution	convolution	NOUN
fcis-31913	62	40	layer	layer	NOUN
fcis-31913	62	41	for	for	ADP
fcis-31913	62	42	pure	pure	ADJ
fcis-31913	62	43	bn	bn	ADJ
fcis-31913	62	44	branches	branch	NOUN
fcis-31913	62	45	to	to	PART
fcis-31913	62	46	dynamically	dynamically	ADV
fcis-31913	62	47	calibrate	calibrate	VERB
fcis-31913	62	48	distributions	distribution	NOUN
fcis-31913	62	49	;	;	PUNCT
fcis-31913	62	50	subsequently	subsequently	ADV
fcis-31913	62	51	,	,	PUNCT
fcis-31913	62	52	reparameterization	reparameterization	NOUN
fcis-31913	62	53	aggregates	aggregate	VERB
fcis-31913	62	54	multiple	multiple	ADJ
fcis-31913	62	55	branches	branch	NOUN
fcis-31913	62	56	into	into	ADP
fcis-31913	62	57	a	a	DET
fcis-31913	62	58	single	single	ADJ
fcis-31913	62	59	-	-	PUNCT
fcis-31913	62	60	path	path	NOUN
fcis-31913	62	61	3×3	3×3	NUM
fcis-31913	62	62	convolution	convolution	NOUN
fcis-31913	62	63	layer	layer	NOUN
fcis-31913	62	64	that	that	PRON
fcis-31913	62	65	normalizes	normalize	VERB
fcis-31913	62	66	nonstandard	nonstandard	ADJ
fcis-31913	62	67	convolution	convolution	NOUN
fcis-31913	62	68	kernels	kernel	NOUN
fcis-31913	62	69	through	through	ADP
fcis-31913	62	70	padding	padding	NOUN
fcis-31913	62	71	and	and	CCONJ
fcis-31913	62	72	stride	stride	ADJ
fcis-31913	62	73	adjustments	adjustment	NOUN
fcis-31913	62	74	while	while	SCONJ
fcis-31913	62	75	introducing	introduce	VERB
fcis-31913	62	76	compensation	compensation	NOUN
fcis-31913	62	77	mechanisms	mechanism	NOUN
fcis-31913	62	78	to	to	PART
fcis-31913	62	79	ensure	ensure	VERB
fcis-31913	62	80	accuracy	accuracy	NOUN
fcis-31913	62	81	,	,	PUNCT
fcis-31913	62	82	as	as	SCONJ
fcis-31913	62	83	shown	show	VERB
fcis-31913	62	84	in	in	ADP
fcis-31913	62	85	figure	figure	NOUN
fcis-31913	62	86	4	4	NUM
fcis-31913	62	87	.	.	PUNCT
fcis-31913	63	1	the	the	DET
fcis-31913	63	2	basic	basic	ADJ
fcis-31913	63	3	unit	unit	NOUN
fcis-31913	63	4	employs	employ	VERB
fcis-31913	63	5	a	a	DET
fcis-31913	63	6	3×3	3×3	NUM
fcis-31913	63	7	convolution	convolution	NOUN
fcis-31913	63	8	+	+	NUM
fcis-31913	63	9	relu	relu	NOUN
fcis-31913	63	10	structure	structure	NOUN
fcis-31913	63	11	that	that	PRON
fcis-31913	63	12	adapts	adapt	VERB
fcis-31913	63	13	to	to	ADP
fcis-31913	63	14	gpu	gpu	NOUN
fcis-31913	63	15	parallel	parallel	ADJ
fcis-31913	63	16	computing	computing	NOUN
fcis-31913	63	17	characteristics	characteristic	NOUN
fcis-31913	63	18	while	while	SCONJ
fcis-31913	63	19	balancing	balance	VERB
fcis-31913	63	20	speed	speed	NOUN
fcis-31913	63	21	and	and	CCONJ
fcis-31913	63	22	efficiency	efficiency	NOUN
fcis-31913	63	23	.	.	PUNCT
fcis-31913	64	1	building	build	VERB
fcis-31913	64	2	upon	upon	SCONJ
fcis-31913	64	3	this	this	DET
fcis-31913	64	4	foundation	foundation	NOUN
fcis-31913	64	5	,	,	PUNCT
fcis-31913	64	6	this	this	DET
fcis-31913	64	7	paper	paper	NOUN
fcis-31913	64	8	further	far	ADV
fcis-31913	64	9	proposes	propose	VERB
fcis-31913	64	10	the	the	DET
fcis-31913	64	11	c3k2_repvgg	c3k2_repvgg	NOUN
fcis-31913	64	12	module	module	NOUN
fcis-31913	64	13	,	,	PUNCT
fcis-31913	64	14	enhancing	enhance	VERB
fcis-31913	64	15	detection	detection	NOUN
fcis-31913	64	16	performance	performance	NOUN
fcis-31913	64	17	through	through	ADP
fcis-31913	64	18	three	three	NUM
fcis-31913	64	19	optimizations	optimization	NOUN
fcis-31913	64	20	:	:	PUNCT
fcis-31913	64	21	first	first	ADV
fcis-31913	64	22	,	,	PUNCT
fcis-31913	64	23	integrating	integrate	VERB
fcis-31913	64	24	the	the	DET
fcis-31913	64	25	feature	feature	NOUN
fcis-31913	64	26	separation	separation	NOUN
fcis-31913	64	27	and	and	CCONJ
fcis-31913	64	28	recursive	recursive	ADJ
fcis-31913	64	29	fusion	fusion	NOUN
fcis-31913	64	30	mechanism	mechanism	NOUN
fcis-31913	64	31	of	of	ADP
fcis-31913	64	32	the	the	DET
fcis-31913	64	33	c2f	c2f	NOUN
fcis-31913	64	34	module	module	NOUN
fcis-31913	64	35	to	to	PART
fcis-31913	64	36	reduce	reduce	VERB
fcis-31913	64	37	feature	feature	NOUN
fcis-31913	64	38	flow	flow	NOUN
fcis-31913	64	39	redundancy	redundancy	NOUN
fcis-31913	64	40	;	;	PUNCT
fcis-31913	64	41	second	second	ADV
fcis-31913	64	42	,	,	PUNCT
fcis-31913	64	43	introducing	introduce	VERB
fcis-31913	64	44	the	the	DET
fcis-31913	64	45	c3k	c3k	PROPN
fcis-31913	64	46	module	module	NOUN
fcis-31913	64	47	to	to	PART
fcis-31913	64	48	support	support	VERB
fcis-31913	64	49	customizable	customizable	ADJ
fcis-31913	64	50	kernel	kernel	NOUN
fcis-31913	64	51	sizes	size	NOUN
fcis-31913	64	52	,	,	PUNCT
fcis-31913	64	53	thereby	thereby	ADV
fcis-31913	64	54	enhancing	enhance	VERB
fcis-31913	64	55	adaptability	adaptability	NOUN
fcis-31913	64	56	for	for	ADP
fcis-31913	64	57	multi	multi	ADJ
fcis-31913	64	58	-	-	ADJ
fcis-31913	64	59	scale	scale	ADJ
fcis-31913	64	60	defects	defect	NOUN
fcis-31913	64	61	;	;	PUNCT
fcis-31913	64	62	third	third	ADV
fcis-31913	64	63	,	,	PUNCT
fcis-31913	64	64	retaining	retain	VERB
fcis-31913	64	65	the	the	DET
fcis-31913	64	66	bottleneck	bottleneck	NOUN
fcis-31913	64	67	structure	structure	NOUN
fcis-31913	64	68	to	to	PART
fcis-31913	64	69	improve	improve	VERB
fcis-31913	64	70	feature	feature	NOUN
fcis-31913	64	71	hierarchy	hierarchy	NOUN
fcis-31913	64	72	,	,	PUNCT
fcis-31913	64	73	complementing	complement	VERB
fcis-31913	64	74	repvgg	repvgg	NOUN
fcis-31913	64	75	’s	’s	PART
fcis-31913	64	76	global	global	ADJ
fcis-31913	64	77	feature	feature	NOUN
fcis-31913	64	78	extraction	extraction	NOUN
fcis-31913	64	79	.	.	PUNCT
fcis-31913	65	1	during	during	ADP
fcis-31913	65	2	training	training	NOUN
fcis-31913	65	3	,	,	PUNCT
fcis-31913	65	4	rich	rich	ADJ
fcis-31913	65	5	feature	feature	NOUN
fcis-31913	65	6	representations	representation	NOUN
fcis-31913	65	7	are	be	AUX
fcis-31913	65	8	learned	learn	VERB
fcis-31913	65	9	through	through	ADP
fcis-31913	65	10	multi	multi	ADJ
fcis-31913	65	11	-	-	ADJ
fcis-31913	65	12	branch	branch	ADJ
fcis-31913	65	13	parallel	parallel	ADJ
fcis-31913	65	14	learning	learning	NOUN
fcis-31913	65	15	;	;	PUNCT
fcis-31913	65	16	during	during	ADP
fcis-31913	65	17	inference	inference	NOUN
fcis-31913	65	18	,	,	PUNCT
fcis-31913	65	19	these	these	PRON
fcis-31913	65	20	are	be	AUX
fcis-31913	65	21	compressed	compress	VERB
fcis-31913	65	22	into	into	ADP
fcis-31913	65	23	a	a	DET
fcis-31913	65	24	single	single	ADJ
fcis-31913	65	25	branch	branch	NOUN
fcis-31913	65	26	via	via	ADP
fcis-31913	65	27	reparameterization	reparameterization	NOUN
fcis-31913	65	28	while	while	SCONJ
fcis-31913	65	29	maintaining	maintain	VERB
fcis-31913	65	30	feature	feature	NOUN
fcis-31913	65	31	representation	representation	NOUN
fcis-31913	65	32	capabilities	capability	NOUN
fcis-31913	65	33	while	while	SCONJ
fcis-31913	65	34	reducing	reduce	VERB
fcis-31913	65	35	computational	computational	ADJ
fcis-31913	65	36	complexity	complexity	NOUN
fcis-31913	65	37	.	.	PUNCT
fcis-31913	66	1	in	in	ADP
fcis-31913	66	2	summary	summary	NOUN
fcis-31913	66	3	,	,	PUNCT
fcis-31913	66	4	the	the	DET
fcis-31913	66	5	c3k2_repvgg	c3k2_repvgg	NOUN
fcis-31913	66	6	module	module	NOUN
fcis-31913	66	7	embodies	embody	VERB
fcis-31913	66	8	both	both	PRON
fcis-31913	66	9	theoretical	theoretical	ADJ
fcis-31913	66	10	innovation	innovation	NOUN
fcis-31913	66	11	and	and	CCONJ
fcis-31913	66	12	engineering	engineering	NOUN
fcis-31913	66	13	application	application	NOUN
fcis-31913	66	14	value	value	NOUN
fcis-31913	66	15	,	,	PUNCT
fcis-31913	66	16	providing	provide	VERB
fcis-31913	66	17	a	a	DET
fcis-31913	66	18	feasible	feasible	ADJ
fcis-31913	66	19	solution	solution	NOUN
fcis-31913	66	20	for	for	ADP
fcis-31913	66	21	efficient	efficient	ADJ
fcis-31913	66	22	intelligent	intelligent	ADJ
fcis-31913	66	23	detection	detection	NOUN
fcis-31913	66	24	of	of	ADP
fcis-31913	66	25	wood	wood	NOUN
fcis-31913	66	26	surface	surface	NOUN
fcis-31913	66	27	defects	defect	NOUN
fcis-31913	66	28	.	.	PUNCT
fcis-31913	67	1	3.2	3.2	NUM
fcis-31913	67	2	.	.	PUNCT
fcis-31913	67	3	adown	adown	NOUN
fcis-31913	67	4	(	(	PUNCT
fcis-31913	67	5	adaptive	adaptive	ADJ
fcis-31913	67	6	downsampling	downsampling	NOUN
fcis-31913	67	7	)	)	PUNCT
fcis-31913	67	8	module	module	NOUN
fcis-31913	67	9	traditional	traditional	ADJ
fcis-31913	67	10	convolutional	convolutional	ADJ
fcis-31913	67	11	downsampling	downsampling	NOUN
fcis-31913	67	12	often	often	ADV
fcis-31913	67	13	loses	lose	VERB
fcis-31913	67	14	small	small	ADJ
fcis-31913	67	15	defect	defect	NOUN
fcis-31913	67	16	details	detail	NOUN
fcis-31913	67	17	,	,	PUNCT
fcis-31913	67	18	leading	lead	VERB
fcis-31913	67	19	to	to	ADP
fcis-31913	67	20	high	high	ADJ
fcis-31913	67	21	miss	miss	NOUN
fcis-31913	67	22	rates	rate	NOUN
fcis-31913	67	23	in	in	ADP
fcis-31913	67	24	detecting	detect	VERB
fcis-31913	67	25	small	small	ADJ
fcis-31913	67	26	53	53	NUM
fcis-31913	67	27	targets	target	NOUN
fcis-31913	67	28	such	such	ADJ
fcis-31913	67	29	as	as	ADP
fcis-31913	67	30	millimeter	millimeter	NOUN
fcis-31913	67	31	-	-	PUNCT
fcis-31913	67	32	scale	scale	NOUN
fcis-31913	67	33	cracks	crack	NOUN
fcis-31913	67	34	.	.	PUNCT
fcis-31913	68	1	to	to	PART
fcis-31913	68	2	address	address	VERB
fcis-31913	68	3	this	this	DET
fcis-31913	68	4	issue	issue	NOUN
fcis-31913	68	5	,	,	PUNCT
fcis-31913	68	6	this	this	DET
fcis-31913	68	7	paper	paper	NOUN
fcis-31913	68	8	introduces	introduce	VERB
fcis-31913	68	9	the	the	DET
fcis-31913	68	10	adown	adown	NOUN
fcis-31913	68	11	(	(	PUNCT
fcis-31913	68	12	adaptive	adaptive	ADJ
fcis-31913	68	13	downsampling	downsampling	NOUN
fcis-31913	68	14	)	)	PUNCT
fcis-31913	68	15	module	module	NOUN
fcis-31913	68	16	to	to	PART
fcis-31913	68	17	optimize	optimize	VERB
fcis-31913	68	18	the	the	DET
fcis-31913	68	19	backbone	backbone	NOUN
fcis-31913	68	20	network	network	NOUN
fcis-31913	68	21	.	.	PUNCT
fcis-31913	69	1	this	this	DET
fcis-31913	69	2	module	module	NOUN
fcis-31913	69	3	serves	serve	VERB
fcis-31913	69	4	as	as	ADP
fcis-31913	69	5	an	an	DET
fcis-31913	69	6	adaptive	adaptive	ADJ
fcis-31913	69	7	lightweight	lightweight	ADJ
fcis-31913	69	8	downsampling	downsample	VERB
fcis-31913	69	9	mechanism	mechanism	NOUN
fcis-31913	69	10	that	that	PRON
fcis-31913	69	11	selectively	selectively	ADV
fcis-31913	69	12	retains	retain	VERB
fcis-31913	69	13	detail	detail	NOUN
fcis-31913	69	14	features	feature	NOUN
fcis-31913	69	15	such	such	ADJ
fcis-31913	69	16	as	as	ADP
fcis-31913	69	17	fine	fine	ADJ
fcis-31913	69	18	cracks	crack	NOUN
fcis-31913	69	19	while	while	SCONJ
fcis-31913	69	20	avoiding	avoid	VERB
fcis-31913	69	21	information	information	NOUN
fcis-31913	69	22	loss	loss	NOUN
fcis-31913	69	23	caused	cause	VERB
fcis-31913	69	24	by	by	ADP
fcis-31913	69	25	forced	force	VERB
fcis-31913	69	26	compression	compression	NOUN
fcis-31913	69	27	from	from	ADP
fcis-31913	69	28	traditional	traditional	ADJ
fcis-31913	69	29	convolutions	convolution	NOUN
fcis-31913	69	30	,	,	PUNCT
fcis-31913	69	31	significantly	significantly	ADV
fcis-31913	69	32	enhancing	enhance	VERB
fcis-31913	69	33	detection	detection	NOUN
fcis-31913	69	34	capabilities	capability	NOUN
fcis-31913	69	35	for	for	ADP
fcis-31913	69	36	millimeter	millimeter	NOUN
fcis-31913	69	37	-	-	PUNCT
fcis-31913	69	38	scale	scale	NOUN
fcis-31913	69	39	defects	defect	NOUN
fcis-31913	69	40	on	on	ADP
fcis-31913	69	41	wood	wood	NOUN
fcis-31913	69	42	surfaces	surface	NOUN
fcis-31913	69	43	.	.	PUNCT
fcis-31913	70	1	figure	figure	NOUN
fcis-31913	70	2	3	3	NUM
fcis-31913	70	3	.	.	PUNCT
fcis-31913	70	4	schematic	schematic	ADJ
fcis-31913	70	5	diagram	diagram	NOUN
fcis-31913	70	6	of	of	ADP
fcis-31913	70	7	repvgg	repvgg	NOUN
fcis-31913	70	8	architecture	architecture	NOUN
fcis-31913	70	9	figure	figure	NOUN
fcis-31913	70	10	4	4	NUM
fcis-31913	70	11	.	.	PUNCT
fcis-31913	70	12	structural	structural	ADJ
fcis-31913	70	13	reparameterization	reparameterization	NOUN
fcis-31913	70	14	process	process	NOUN
fcis-31913	70	15	the	the	DET
fcis-31913	70	16	adown	adown	NOUN
fcis-31913	70	17	module	module	NOUN
fcis-31913	70	18	employs	employ	VERB
fcis-31913	70	19	a	a	DET
fcis-31913	70	20	multi	multi	ADJ
fcis-31913	70	21	-	-	ADJ
fcis-31913	70	22	branch	branch	ADJ
fcis-31913	70	23	convolution	convolution	NOUN
fcis-31913	70	24	structure	structure	NOUN
fcis-31913	70	25	that	that	PRON
fcis-31913	70	26	can	can	AUX
fcis-31913	70	27	dynamically	dynamically	ADV
fcis-31913	70	28	adjust	adjust	VERB
fcis-31913	70	29	kernel	kernel	NOUN
fcis-31913	70	30	sizes	size	NOUN
fcis-31913	70	31	(	(	PUNCT
fcis-31913	70	32	3×3/5×5	3×3/5×5	NUM
fcis-31913	70	33	)	)	PUNCT
fcis-31913	70	34	and	and	CCONJ
fcis-31913	70	35	and	and	CCONJ
fcis-31913	70	36	stride	stride	ADJ
fcis-31913	70	37	parameters	parameter	NOUN
fcis-31913	70	38	(	(	PUNCT
fcis-31913	70	39	1/2	1/2	NUM
fcis-31913	70	40	)	)	PUNCT
fcis-31913	70	41	based	base	VERB
fcis-31913	70	42	on	on	ADP
fcis-31913	70	43	input	input	NOUN
fcis-31913	70	44	features	feature	NOUN
fcis-31913	70	45	.	.	PUNCT
fcis-31913	71	1	the	the	DET
fcis-31913	71	2	specific	specific	ADJ
fcis-31913	71	3	process	process	NOUN
fcis-31913	71	4	is	be	AUX
fcis-31913	71	5	illustrated	illustrate	VERB
fcis-31913	71	6	in	in	ADP
fcis-31913	71	7	figure	figure	NOUN
fcis-31913	71	8	5	5	NUM
fcis-31913	71	9	:	:	PUNCT
fcis-31913	71	10	after	after	SCONJ
fcis-31913	71	11	input	input	NOUN
fcis-31913	71	12	feature	feature	NOUN
fcis-31913	71	13	map	map	NOUN
fcis-31913	71	14	x	x	PUNCT
fcis-31913	71	15	(	(	PUNCT
fcis-31913	71	16	with	with	ADP
fcis-31913	71	17	c1	c1	PROPN
fcis-31913	71	18	channels	channel	NOUN
fcis-31913	71	19	)	)	PUNCT
fcis-31913	71	20	undergoes	undergo	VERB
fcis-31913	71	21	average	average	ADJ
fcis-31913	71	22	pooling	pooling	NOUN
fcis-31913	71	23	(	(	PUNCT
fcis-31913	71	24	k=2,s=1	k=2,s=1	NOUN
fcis-31913	71	25	)	)	PUNCT
fcis-31913	71	26	,	,	PUNCT
fcis-31913	71	27	it	it	PRON
fcis-31913	71	28	is	be	AUX
fcis-31913	71	29	split	split	VERB
fcis-31913	71	30	into	into	ADP
fcis-31913	71	31	sub	sub	ADJ
fcis-31913	71	32	-	-	ADJ
fcis-31913	71	33	feature	feature	ADJ
fcis-31913	71	34	maps	map	NOUN
fcis-31913	71	35	x1	x1	PROPN
fcis-31913	71	36	and	and	CCONJ
fcis-31913	71	37	x2	x2	PROPN
fcis-31913	71	38	(	(	PUNCT
fcis-31913	71	39	each	each	PRON
fcis-31913	71	40	with	with	ADP
fcis-31913	71	41	c1//2	c1//2	NOUN
fcis-31913	71	42	channels	channel	NOUN
fcis-31913	71	43	)	)	PUNCT
fcis-31913	71	44	;	;	PUNCT
fcis-31913	71	45	both	both	DET
fcis-31913	71	46	branches	branch	NOUN
fcis-31913	71	47	are	be	AUX
fcis-31913	71	48	processed	process	VERB
fcis-31913	71	49	through	through	ADP
fcis-31913	71	50	conv1	conv1	NOUN
fcis-31913	71	51	(	(	PUNCT
fcis-31913	71	52	a	a	DET
fcis-31913	71	53	3×3	3×3	NUM
fcis-31913	71	54	convolution	convolution	NOUN
fcis-31913	71	55	with	with	ADP
fcis-31913	71	56	s=2,p=1	s=2,p=1	PROPN
fcis-31913	71	57	)	)	PUNCT
fcis-31913	71	58	and	and	CCONJ
fcis-31913	71	59	“	"	PUNCT
fcis-31913	71	60	maxpool	maxpool	NOUN
fcis-31913	71	61	(	(	PUNCT
fcis-31913	71	62	a	a	DET
fcis-31913	71	63	3×3	3×3	NUM
fcis-31913	71	64	pool	pool	NOUN
fcis-31913	71	65	with	with	ADP
fcis-31913	71	66	s=2,p=1	s=2,p=1	PROPN
fcis-31913	71	67	)	)	PUNCT
fcis-31913	72	1	+	+	CCONJ
fcis-31913	72	2	conv2	conv2	X
fcis-31913	72	3	(	(	PUNCT
fcis-31913	72	4	a	a	DET
fcis-31913	72	5	1×1	1×1	NUM
fcis-31913	72	6	convolution	convolution	NOUN
fcis-31913	72	7	)	)	PUNCT
fcis-31913	72	8	”	"	PUNCT
fcis-31913	72	9	respectively	respectively	ADV
fcis-31913	72	10	to	to	PART
fcis-31913	72	11	achieve	achieve	VERB
fcis-31913	72	12	downsampling	downsample	VERB
fcis-31913	72	13	by	by	ADP
fcis-31913	72	14	half	half	NOUN
fcis-31913	72	15	while	while	SCONJ
fcis-31913	72	16	avoiding	avoid	VERB
fcis-31913	72	17	loss	loss	NOUN
fcis-31913	72	18	of	of	ADP
fcis-31913	72	19	edge	edge	NOUN
fcis-31913	72	20	textures	texture	NOUN
fcis-31913	72	21	effectively	effectively	ADV
fcis-31913	72	22	reducing	reduce	VERB
fcis-31913	72	23	miss	miss	NOUN
fcis-31913	72	24	rates	rate	NOUN
fcis-31913	72	25	for	for	ADP
fcis-31913	72	26	wormholes	wormhole	NOUN
fcis-31913	72	27	and	and	CCONJ
fcis-31913	72	28	micro	micro	NOUN
fcis-31913	72	29	-	-	NOUN
fcis-31913	72	30	cracks	crack	NOUN
fcis-31913	72	31	.	.	PUNCT
fcis-31913	73	1	to	to	PART
fcis-31913	73	2	enhance	enhance	VERB
fcis-31913	73	3	feature	feature	NOUN
fcis-31913	73	4	expression	expression	NOUN
fcis-31913	73	5	,	,	PUNCT
fcis-31913	73	6	the	the	DET
fcis-31913	73	7	module	module	NOUN
fcis-31913	73	8	achieves	achieve	VERB
fcis-31913	73	9	multi	multi	ADJ
fcis-31913	73	10	-	-	ADJ
fcis-31913	73	11	scale	scale	ADJ
fcis-31913	73	12	fusion	fusion	NOUN
fcis-31913	73	13	through	through	ADP
fcis-31913	73	14	dual	dual	ADJ
fcis-31913	73	15	branches	branch	NOUN
fcis-31913	73	16	:	:	PUNCT
fcis-31913	73	17	the	the	DET
fcis-31913	73	18	local	local	ADJ
fcis-31913	73	19	branch	branch	NOUN
fcis-31913	73	20	uses	use	VERB
fcis-31913	73	21	a	a	DET
fcis-31913	73	22	1×1	1×1	NUM
fcis-31913	73	23	convolution	convolution	NOUN
fcis-31913	73	24	to	to	PART
fcis-31913	73	25	extract	extract	VERB
fcis-31913	73	26	fine	fine	ADJ
fcis-31913	73	27	features	feature	NOUN
fcis-31913	73	28	while	while	SCONJ
fcis-31913	73	29	the	the	DET
fcis-31913	73	30	global	global	ADJ
fcis-31913	73	31	branch	branch	NOUN
fcis-31913	73	32	employs	employ	VERB
fcis-31913	73	33	a	a	DET
fcis-31913	73	34	grouped	group	VERB
fcis-31913	73	35	convolution	convolution	NOUN
fcis-31913	73	36	with	with	ADP
fcis-31913	73	37	a	a	DET
fcis-31913	73	38	size	size	NOUN
fcis-31913	73	39	of	of	ADP
fcis-31913	73	40	3×3	3×3	NUM
fcis-31913	73	41	to	to	PART
fcis-31913	73	42	capture	capture	VERB
fcis-31913	73	43	contextual	contextual	ADJ
fcis-31913	73	44	information	information	NOUN
fcis-31913	73	45	;	;	PUNCT
fcis-31913	73	46	subsequently	subsequently	ADV
fcis-31913	73	47	,	,	PUNCT
fcis-31913	73	48	channel	channel	NOUN
fcis-31913	73	49	mixing	mix	VERB
fcis-31913	73	50	breaks	break	NOUN
fcis-31913	73	51	group	group	NOUN
fcis-31913	73	52	isolation	isolation	NOUN
fcis-31913	73	53	and	and	CCONJ
fcis-31913	73	54	embeds	embed	VERB
fcis-31913	73	55	an	an	DET
fcis-31913	73	56	eca	eca	NOUN
fcis-31913	73	57	attention	attention	NOUN
fcis-31913	73	58	mechanism	mechanism	NOUN
fcis-31913	73	59	to	to	PART
fcis-31913	73	60	strengthen	strengthen	VERB
fcis-31913	73	61	defect	defect	NOUN
fcis-31913	73	62	area	area	NOUN
fcis-31913	73	63	representation	representation	NOUN
fcis-31913	73	64	effectively	effectively	ADV
fcis-31913	73	65	integrating	integrate	VERB
fcis-31913	73	66	high	high	ADJ
fcis-31913	73	67	-	-	PUNCT
fcis-31913	73	68	frequency	frequency	NOUN
fcis-31913	73	69	edges	edge	NOUN
fcis-31913	73	70	with	with	ADP
fcis-31913	73	71	global	global	ADJ
fcis-31913	73	72	semantics	semantic	NOUN
fcis-31913	73	73	to	to	PART
fcis-31913	73	74	improve	improve	VERB
fcis-31913	73	75	defect	defect	NOUN
fcis-31913	73	76	recognition	recognition	NOUN
fcis-31913	73	77	under	under	ADP
fcis-31913	73	78	complex	complex	ADJ
fcis-31913	73	79	texture	texture	ADJ
fcis-31913	73	80	backgrounds	background	NOUN
fcis-31913	73	81	.	.	PUNCT
fcis-31913	74	1	in	in	ADP
fcis-31913	74	2	terms	term	NOUN
fcis-31913	74	3	of	of	ADP
fcis-31913	74	4	lightweight	lightweight	ADJ
fcis-31913	74	5	design	design	NOUN
fcis-31913	74	6	,	,	PUNCT
fcis-31913	74	7	the	the	DET
fcis-31913	74	8	adown	adown	NOUN
fcis-31913	74	9	module	module	NOUN
fcis-31913	74	10	combines	combine	VERB
fcis-31913	74	11	grouped	group	VERB
fcis-31913	74	12	convolutions	convolution	NOUN
fcis-31913	74	13	with	with	ADP
fcis-31913	74	14	depthwise	depthwise	NOUN
fcis-31913	74	15	separable	separable	ADJ
fcis-31913	74	16	convolutions	convolution	NOUN
fcis-31913	74	17	and	and	CCONJ
fcis-31913	74	18	adopts	adopt	VERB
fcis-31913	74	19	a	a	DET
fcis-31913	74	20	non	non	ADJ
fcis-31913	74	21	-	-	ADJ
fcis-31913	74	22	redundant	redundant	ADJ
fcis-31913	74	23	connection	connection	NOUN
fcis-31913	74	24	structure	structure	NOUN
fcis-31913	74	25	that	that	PRON
fcis-31913	74	26	reduces	reduce	VERB
fcis-31913	74	27	parameter	parameter	NOUN
fcis-31913	74	28	size	size	NOUN
fcis-31913	74	29	and	and	CCONJ
fcis-31913	74	30	computational	computational	ADJ
fcis-31913	74	31	load	load	NOUN
fcis-31913	74	32	by	by	ADP
fcis-31913	74	33	40%–50	40%–50	NUM
fcis-31913	74	34	%	%	NOUN
fcis-31913	74	35	compared	compare	VERB
fcis-31913	74	36	to	to	ADP
fcis-31913	74	37	traditional	traditional	ADJ
fcis-31913	74	38	strided	strided	ADJ
fcis-31913	74	39	convolutions	convolution	NOUN
fcis-31913	74	40	under	under	ADP
fcis-31913	74	41	similar	similar	ADJ
fcis-31913	74	42	downsampling	downsample	VERB
fcis-31913	74	43	conditions	condition	NOUN
fcis-31913	74	44	.	.	PUNCT
fcis-31913	75	1	through	through	ADP
fcis-31913	75	2	dynamic	dynamic	ADJ
fcis-31913	75	3	adjustments	adjustment	NOUN
fcis-31913	75	4	during	during	ADP
fcis-31913	75	5	training	training	NOUN
fcis-31913	75	6	and	and	CCONJ
fcis-31913	75	7	structural	structural	ADJ
fcis-31913	75	8	optimizations	optimization	NOUN
fcis-31913	75	9	during	during	ADP
fcis-31913	75	10	inference	inference	NOUN
fcis-31913	75	11	working	work	VERB
fcis-31913	75	12	in	in	ADP
fcis-31913	75	13	synergy	synergy	NOUN
fcis-31913	75	14	,	,	PUNCT
fcis-31913	75	15	this	this	DET
fcis-31913	75	16	module	module	NOUN
fcis-31913	75	17	significantly	significantly	ADV
fcis-31913	75	18	enhances	enhance	VERB
fcis-31913	75	19	computational	computational	ADJ
fcis-31913	75	20	efficiency	efficiency	NOUN
fcis-31913	75	21	while	while	SCONJ
fcis-31913	75	22	ensuring	ensure	VERB
fcis-31913	75	23	detection	detection	NOUN
fcis-31913	75	24	accuracy	accuracy	NOUN
fcis-31913	75	25	.	.	PUNCT
fcis-31913	76	1	in	in	ADP
fcis-31913	76	2	summary	summary	NOUN
fcis-31913	76	3	,	,	PUNCT
fcis-31913	76	4	the	the	DET
fcis-31913	76	5	adown	adown	NOUN
fcis-31913	76	6	module	module	NOUN
fcis-31913	76	7	demonstrates	demonstrate	VERB
fcis-31913	76	8	promising	promise	VERB
fcis-31913	76	9	application	application	NOUN
fcis-31913	76	10	prospects	prospect	NOUN
fcis-31913	76	11	in	in	ADP
fcis-31913	76	12	both	both	CCONJ
fcis-31913	76	13	theoretical	theoretical	ADJ
fcis-31913	76	14	innovation	innovation	NOUN
fcis-31913	76	15	and	and	CCONJ
fcis-31913	76	16	engineering	engineering	NOUN
fcis-31913	76	17	practice	practice	NOUN
fcis-31913	76	18	providing	provide	VERB
fcis-31913	76	19	an	an	DET
fcis-31913	76	20	efficient	efficient	ADJ
fcis-31913	76	21	and	and	CCONJ
fcis-31913	76	22	feasible	feasible	ADJ
fcis-31913	76	23	solution	solution	NOUN
fcis-31913	76	24	for	for	ADP
fcis-31913	76	25	wood	wood	NOUN
fcis-31913	76	26	defect	defect	NOUN
fcis-31913	76	27	detection	detection	NOUN
fcis-31913	76	28	.	.	PUNCT
fcis-31913	77	1	figure	figure	NOUN
fcis-31913	77	2	5	5	NUM
fcis-31913	77	3	.	.	PUNCT
fcis-31913	78	1	structure	structure	NOUN
fcis-31913	78	2	of	of	ADP
fcis-31913	78	3	adown	adown	NOUN
fcis-31913	78	4	module	module	NOUN
fcis-31913	78	5	54	54	NUM
fcis-31913	78	6	3.3	3.3	NUM
fcis-31913	78	7	.	.	PUNCT
fcis-31913	79	1	c2bra	c2bra	VERB
fcis-31913	79	2	convolutional	convolutional	ADJ
fcis-31913	79	3	enhanced	enhance	VERB
fcis-31913	79	4	dualbranch	dualbranch	ADJ
fcis-31913	79	5	bi	bi	ADJ
fcis-31913	79	6	-	-	ADJ
fcis-31913	79	7	level	level	ADJ
fcis-31913	79	8	routing	routing	NOUN
fcis-31913	79	9	attention	attention	NOUN
fcis-31913	79	10	module	module	NOUN
fcis-31913	79	11	to	to	PART
fcis-31913	79	12	address	address	VERB
fcis-31913	79	13	issues	issue	NOUN
fcis-31913	79	14	where	where	SCONJ
fcis-31913	79	15	traditional	traditional	ADJ
fcis-31913	79	16	algorithms	algorithm	NOUN
fcis-31913	79	17	struggle	struggle	VERB
fcis-31913	79	18	with	with	ADP
fcis-31913	79	19	distinguishing	distinguish	VERB
fcis-31913	79	20	defects	defect	NOUN
fcis-31913	79	21	from	from	ADP
fcis-31913	79	22	background	background	NOUN
fcis-31913	79	23	interference	interference	NOUN
fcis-31913	79	24	due	due	ADP
fcis-31913	79	25	to	to	ADP
fcis-31913	79	26	complex	complex	ADJ
fcis-31913	79	27	wood	wood	NOUN
fcis-31913	79	28	grain	grain	NOUN
fcis-31913	79	29	patterns	pattern	NOUN
fcis-31913	79	30	(	(	PUNCT
fcis-31913	79	31	leading	lead	VERB
fcis-31913	79	32	to	to	ADP
fcis-31913	79	33	high	high	ADJ
fcis-31913	79	34	false	false	ADJ
fcis-31913	79	35	positive	positive	ADJ
fcis-31913	79	36	rates	rate	NOUN
fcis-31913	79	37	by	by	ADP
fcis-31913	79	38	misclassifying	misclassifye	VERB
fcis-31913	79	39	normal	normal	ADJ
fcis-31913	79	40	textures	texture	NOUN
fcis-31913	79	41	as	as	ADP
fcis-31913	79	42	defects	defect	NOUN
fcis-31913	79	43	)	)	PUNCT
fcis-31913	79	44	,	,	PUNCT
fcis-31913	79	45	this	this	DET
fcis-31913	79	46	paper	paper	NOUN
fcis-31913	79	47	introduces	introduce	VERB
fcis-31913	79	48	the	the	DET
fcis-31913	79	49	bi	bi	ADJ
fcis-31913	79	50	-	-	ADJ
fcis-31913	79	51	level	level	ADJ
fcis-31913	79	52	routing	routing	NOUN
fcis-31913	79	53	attention	attention	NOUN
fcis-31913	79	54	(	(	PUNCT
fcis-31913	79	55	bra	bra	NOUN
fcis-31913	79	56	)	)	PUNCT
fcis-31913	79	57	mechanism	mechanism	NOUN
fcis-31913	79	58	proposed	propose	VERB
fcis-31913	79	59	by	by	ADP
fcis-31913	79	60	biformer	biformer	NOUN
fcis-31913	79	61	and	and	CCONJ
fcis-31913	79	62	deeply	deeply	ADV
fcis-31913	79	63	integrates	integrate	VERB
fcis-31913	79	64	it	it	PRON
fcis-31913	79	65	with	with	ADP
fcis-31913	79	66	detection	detection	NOUN
fcis-31913	79	67	algorithms	algorithm	NOUN
fcis-31913	79	68	to	to	PART
fcis-31913	79	69	design	design	VERB
fcis-31913	79	70	the	the	DET
fcis-31913	79	71	c2bra	c2bra	NOUN
fcis-31913	79	72	module	module	NOUN
fcis-31913	79	73	suitable	suitable	ADJ
fcis-31913	79	74	for	for	ADP
fcis-31913	79	75	wood	wood	NOUN
fcis-31913	79	76	defect	defect	NOUN
fcis-31913	79	77	detection	detection	NOUN
fcis-31913	79	78	.	.	PUNCT
fcis-31913	80	1	this	this	DET
fcis-31913	80	2	mechanism	mechanism	NOUN
fcis-31913	80	3	utilizes	utilize	VERB
fcis-31913	80	4	a	a	DET
fcis-31913	80	5	dual	dual	ADJ
fcis-31913	80	6	-	-	PUNCT
fcis-31913	80	7	layer	layer	NOUN
fcis-31913	80	8	dynamic	dynamic	ADJ
fcis-31913	80	9	sparse	sparse	ADJ
fcis-31913	80	10	structure	structure	NOUN
fcis-31913	80	11	composed	compose	VERB
fcis-31913	80	12	of	of	ADP
fcis-31913	80	13	“	"	PUNCT
fcis-31913	80	14	region	region	NOUN
fcis-31913	80	15	-	-	PUNCT
fcis-31913	80	16	level	level	NOUN
fcis-31913	80	17	routing	routing	NOUN
fcis-31913	80	18	”	"	PUNCT
fcis-31913	80	19	and	and	CCONJ
fcis-31913	80	20	“	"	PUNCT
fcis-31913	80	21	token	token	ADJ
fcis-31913	80	22	-	-	PUNCT
fcis-31913	80	23	level	level	NOUN
fcis-31913	80	24	attention	attention	NOUN
fcis-31913	80	25	”	"	PUNCT
fcis-31913	80	26	for	for	ADP
fcis-31913	80	27	optimization	optimization	NOUN
fcis-31913	80	28	significantly	significantly	ADV
fcis-31913	80	29	enhancing	enhance	VERB
fcis-31913	80	30	detection	detection	NOUN
fcis-31913	80	31	performance	performance	NOUN
fcis-31913	80	32	.	.	PUNCT
fcis-31913	81	1	the	the	DET
fcis-31913	81	2	specific	specific	ADJ
fcis-31913	81	3	process	process	NOUN
fcis-31913	81	4	is	be	AUX
fcis-31913	81	5	illustrated	illustrate	VERB
fcis-31913	81	6	in	in	ADP
fcis-31913	81	7	figure	figure	NOUN
fcis-31913	81	8	6	6	NUM
fcis-31913	81	9	:	:	PUNCT
fcis-31913	81	10	first	first	ADV
fcis-31913	81	11	,	,	PUNCT
fcis-31913	81	12	for	for	ADP
fcis-31913	81	13	feature	feature	NOUN
fcis-31913	81	14	maps	map	NOUN
fcis-31913	81	15	x∈rh×w×c	x∈rh×w×c	PROPN
fcis-31913	81	16	extracted	extract	VERB
fcis-31913	81	17	from	from	ADP
fcis-31913	81	18	the	the	DET
fcis-31913	81	19	backbone	backbone	NOUN
fcis-31913	81	20	network	network	NOUN
fcis-31913	81	21	,	,	PUNCT
fcis-31913	81	22	the	the	DET
fcis-31913	81	23	bra	bra	NOUN
fcis-31913	81	24	module	module	NOUN
fcis-31913	81	25	performs	perform	VERB
fcis-31913	81	26	region	region	NOUN
fcis-31913	81	27	partitioning	partitioning	NOUN
fcis-31913	81	28	and	and	CCONJ
fcis-31913	81	29	input	input	NOUN
fcis-31913	81	30	projection	projection	NOUN
fcis-31913	81	31	dividing	divide	VERB
fcis-31913	81	32	these	these	DET
fcis-31913	81	33	maps	map	NOUN
fcis-31913	81	34	into	into	ADP
fcis-31913	81	35	s	s	PRON
fcis-31913	81	36	×	×	PROPN
fcis-31913	81	37	s	s	PART
fcis-31913	81	38	non	non	ADJ
fcis-31913	81	39	-	-	ADJ
fcis-31913	81	40	overlapping	overlapping	ADJ
fcis-31913	81	41	regions	region	NOUN
fcis-31913	81	42	each	each	PRON
fcis-31913	81	43	containing	contain	VERB
fcis-31913	81	44	hw	hw	PART
fcis-31913	81	45	/	/	SYM
fcis-31913	81	46	s²	s²	ADJ
fcis-31913	81	47	feature	feature	NOUN
fcis-31913	81	48	vectors	vector	NOUN
fcis-31913	81	49	forming	form	VERB
fcis-31913	81	50	region	region	NOUN
fcis-31913	81	51	-	-	PUNCT
fcis-31913	81	52	level	level	NOUN
fcis-31913	81	53	feature	feature	NOUN
fcis-31913	81	54	tensors	tensor	NOUN
fcis-31913	81	55	xr∈rs2×hw	xr∈rs2×hw	NUM
fcis-31913	81	56	/	/	SYM
fcis-31913	81	57	s2×c	s2×c	PROPN
fcis-31913	81	58	;	;	PUNCT
fcis-31913	81	59	then	then	ADV
fcis-31913	81	60	linear	linear	ADJ
fcis-31913	81	61	projections	projection	NOUN
fcis-31913	81	62	generate	generate	VERB
fcis-31913	81	63	query	query	NOUN
fcis-31913	81	64	matrix	matrix	NOUN
fcis-31913	81	65	q	q	NOUN
fcis-31913	81	66	,	,	PUNCT
fcis-31913	81	67	key	key	ADJ
fcis-31913	81	68	matrix	matrix	NOUN
fcis-31913	81	69	k	k	NOUN
fcis-31913	81	70	,	,	PUNCT
fcis-31913	81	71	and	and	CCONJ
fcis-31913	81	72	value	value	NOUN
fcis-31913	81	73	matrix	matrix	NOUN
fcis-31913	81	74	v.	v.	ADP
fcis-31913	81	75	next	next	ADJ
fcis-31913	81	76	comes	come	VERB
fcis-31913	81	77	region	region	NOUN
fcis-31913	81	78	-	-	PUNCT
fcis-31913	81	79	to	to	ADP
fcis-31913	81	80	-	-	PUNCT
fcis-31913	81	81	region	region	NOUN
fcis-31913	81	82	routing	routing	NOUN
fcis-31913	81	83	operations	operation	NOUN
fcis-31913	81	84	:	:	PUNCT
fcis-31913	81	85	by	by	ADP
fcis-31913	81	86	performing	perform	VERB
fcis-31913	81	87	mean	mean	ADJ
fcis-31913	81	88	pooling	pool	VERB
fcis-31913	81	89	on	on	ADP
fcis-31913	81	90	q	q	PROPN
fcis-31913	82	1	and	and	CCONJ
fcis-31913	82	2	k	k	PROPN
fcis-31913	82	3	within	within	ADP
fcis-31913	82	4	each	each	DET
fcis-31913	82	5	region	region	NOUN
fcis-31913	82	6	we	we	PRON
fcis-31913	82	7	obtain	obtain	VERB
fcis-31913	82	8	region	region	NOUN
fcis-31913	82	9	-	-	PUNCT
fcis-31913	82	10	level	level	NOUN
fcis-31913	82	11	query	query	NOUN
fcis-31913	82	12	matrix	matrix	NOUN
fcis-31913	82	13	qr	qr	NOUN
fcis-31913	82	14	and	and	CCONJ
fcis-31913	82	15	key	key	ADJ
fcis-31913	82	16	matrix	matrix	NOUN
fcis-31913	82	17	kr	kr	PROPN
fcis-31913	82	18	calculating	calculate	VERB
fcis-31913	82	19	region	region	NOUN
fcis-31913	82	20	affinity	affinity	NOUN
fcis-31913	82	21	matrix	matrix	NOUN
fcis-31913	82	22	ar	ar	NOUN
fcis-31913	82	23	as	as	SCONJ
fcis-31913	82	24	described	describe	VERB
fcis-31913	82	25	in	in	ADP
fcis-31913	82	26	equation	equation	NOUN
fcis-31913	82	27	(	(	PUNCT
fcis-31913	82	28	1	1	NUM
fcis-31913	82	29	)	)	PUNCT
fcis-31913	82	30	;	;	PUNCT
fcis-31913	82	31	then	then	ADV
fcis-31913	82	32	using	use	VERB
fcis-31913	82	33	top	top	ADJ
fcis-31913	82	34	-	-	PUNCT
fcis-31913	82	35	k	k	NOUN
fcis-31913	82	36	operations	operation	NOUN
fcis-31913	82	37	we	we	PRON
fcis-31913	82	38	select	select	VERB
fcis-31913	82	39	the	the	DET
fcis-31913	82	40	top	top	NOUN
fcis-31913	82	41	k	k	PROPN
fcis-31913	82	42	most	most	ADV
fcis-31913	82	43	relevant	relevant	ADJ
fcis-31913	82	44	regions	region	NOUN
fcis-31913	82	45	generating	generate	VERB
fcis-31913	82	46	routing	routing	NOUN
fcis-31913	82	47	index	index	NOUN
fcis-31913	82	48	matrix	matrix	NOUN
fcis-31913	82	49	ir	ir	NOUN
fcis-31913	82	50	which	which	PRON
fcis-31913	82	51	facilitates	facilitate	VERB
fcis-31913	82	52	preliminary	preliminary	ADJ
fcis-31913	82	53	localization	localization	NOUN
fcis-31913	82	54	of	of	ADP
fcis-31913	82	55	defect	defect	NOUN
fcis-31913	82	56	-	-	PUNCT
fcis-31913	82	57	related	relate	VERB
fcis-31913	82	58	areas	area	NOUN
fcis-31913	82	59	effectively	effectively	ADV
fcis-31913	82	60	filtering	filter	VERB
fcis-31913	82	61	out	out	ADP
fcis-31913	82	62	most	most	ADV
fcis-31913	82	63	irrelevant	irrelevant	ADJ
fcis-31913	82	64	backgrounds	background	NOUN
fcis-31913	82	65	.	.	PUNCT
fcis-31913	83	1	finally	finally	ADV
fcis-31913	83	2	,	,	PUNCT
fcis-31913	83	3	token	token	VERB
fcis-31913	83	4	-	-	PUNCT
fcis-31913	83	5	to	to	ADP
fcis-31913	83	6	-	-	PUNCT
fcis-31913	83	7	token	token	VERB
fcis-31913	83	8	attention	attention	NOUN
fcis-31913	83	9	calculations	calculation	NOUN
fcis-31913	83	10	are	be	AUX
fcis-31913	83	11	performed	perform	VERB
fcis-31913	83	12	aggregating	aggregate	VERB
fcis-31913	83	13	key	key	ADJ
fcis-31913	83	14	-	-	PUNCT
fcis-31913	83	15	value	value	NOUN
fcis-31913	83	16	pairs	pair	NOUN
fcis-31913	83	17	from	from	ADP
fcis-31913	83	18	relevant	relevant	ADJ
fcis-31913	83	19	regions	region	NOUN
fcis-31913	83	20	via	via	ADP
fcis-31913	83	21	ir	ir	PROPN
fcis-31913	83	22	yielding	yield	VERB
fcis-31913	83	23	aggregated	aggregate	VERB
fcis-31913	83	24	key	key	ADJ
fcis-31913	83	25	matrix	matrix	NOUN
fcis-31913	83	26	kg	kg	NOUN
fcis-31913	83	27	and	and	CCONJ
fcis-31913	83	28	value	value	NOUN
fcis-31913	83	29	matrix	matrix	NOUN
fcis-31913	83	30	vg	vg	ADP
fcis-31913	83	31	calculated	calculate	VERB
fcis-31913	83	32	according	accord	VERB
fcis-31913	83	33	to	to	ADP
fcis-31913	83	34	equations	equation	NOUN
fcis-31913	83	35	(	(	PUNCT
fcis-31913	83	36	2	2	NUM
fcis-31913	83	37	)	)	PUNCT
fcis-31913	83	38	and	and	CCONJ
fcis-31913	83	39	(	(	PUNCT
fcis-31913	83	40	3	3	NUM
fcis-31913	83	41	)	)	PUNCT
fcis-31913	83	42	;	;	PUNCT
fcis-31913	83	43	ultimately	ultimately	ADV
fcis-31913	83	44	output	output	NOUN
fcis-31913	83	45	features	feature	NOUN
fcis-31913	83	46	o	o	NOUN
fcis-31913	83	47	are	be	AUX
fcis-31913	83	48	computed	compute	VERB
fcis-31913	83	49	using	use	VERB
fcis-31913	83	50	equation	equation	NOUN
fcis-31913	83	51	(	(	PUNCT
fcis-31913	83	52	4	4	NUM
fcis-31913	83	53	)	)	PUNCT
fcis-31913	83	54	,	,	PUNCT
fcis-31913	83	55	completing	complete	VERB
fcis-31913	83	56	weighted	weight	VERB
fcis-31913	83	57	fusion	fusion	NOUN
fcis-31913	83	58	where	where	SCONJ
fcis-31913	83	59	locally	locally	ADV
fcis-31913	83	60	enhanced	enhance	VERB
fcis-31913	83	61	context	context	NOUN
fcis-31913	83	62	lce(v	lce(v	PROPN
fcis-31913	83	63	)	)	PUNCT
fcis-31913	83	64	,	,	PUNCT
fcis-31913	83	65	achieved	achieve	VERB
fcis-31913	83	66	via	via	ADP
fcis-31913	83	67	deep	deep	ADJ
fcis-31913	83	68	convolutions	convolution	NOUN
fcis-31913	83	69	further	far	ADV
fcis-31913	83	70	strengthens	strengthen	VERB
fcis-31913	83	71	local	local	ADJ
fcis-31913	83	72	details	detail	NOUN
fcis-31913	83	73	such	such	ADJ
fcis-31913	83	74	as	as	ADP
fcis-31913	83	75	defect	defect	ADJ
fcis-31913	83	76	edges	edge	NOUN
fcis-31913	83	77	significantly	significantly	ADV
fcis-31913	83	78	improving	improve	VERB
fcis-31913	83	79	yolov11	yolov11	NOUN
fcis-31913	83	80	’s	’s	PART
fcis-31913	83	81	ability	ability	NOUN
fcis-31913	83	82	to	to	PART
fcis-31913	83	83	recognize	recognize	VERB
fcis-31913	83	84	subtle	subtle	ADJ
fcis-31913	83	85	defects	defect	NOUN
fcis-31913	83	86	.	.	PUNCT
fcis-31913	84	1	this	this	DET
fcis-31913	84	2	structure	structure	NOUN
fcis-31913	84	3	has	have	VERB
fcis-31913	84	4	three	three	NUM
fcis-31913	84	5	major	major	ADJ
fcis-31913	84	6	advantages	advantage	NOUN
fcis-31913	84	7	:	:	PUNCT
fcis-31913	84	8	first	first	ADV
fcis-31913	84	9	it	it	PRON
fcis-31913	84	10	overcomes	overcome	VERB
fcis-31913	84	11	limitations	limitation	NOUN
fcis-31913	84	12	imposed	impose	VERB
fcis-31913	84	13	by	by	ADP
fcis-31913	84	14	local	local	ADJ
fcis-31913	84	15	receptive	receptive	ADJ
fcis-31913	84	16	fields	field	NOUN
fcis-31913	84	17	in	in	ADP
fcis-31913	84	18	convolutions	convolution	NOUN
fcis-31913	84	19	effectively	effectively	ADV
fcis-31913	84	20	capturing	capture	VERB
fcis-31913	84	21	long	long	ADJ
fcis-31913	84	22	-	-	PUNCT
fcis-31913	84	23	range	range	NOUN
fcis-31913	84	24	associations	association	NOUN
fcis-31913	84	25	between	between	ADP
fcis-31913	84	26	defects	defect	NOUN
fcis-31913	84	27	within	within	ADP
fcis-31913	84	28	wood	wood	NOUN
fcis-31913	84	29	textures	texture	NOUN
fcis-31913	84	30	;	;	PUNCT
fcis-31913	84	31	second	second	ADV
fcis-31913	84	32	it	it	PRON
fcis-31913	84	33	implements	implement	VERB
fcis-31913	84	34	a	a	DET
fcis-31913	84	35	query	query	NOUN
fcis-31913	84	36	-	-	PUNCT
fcis-31913	84	37	aware	aware	ADJ
fcis-31913	84	38	dynamic	dynamic	ADJ
fcis-31913	84	39	sparsity	sparsity	NOUN
fcis-31913	84	40	mechanism	mechanism	NOUN
fcis-31913	84	41	allowing	allow	VERB
fcis-31913	84	42	different	different	ADJ
fcis-31913	84	43	regions	region	NOUN
fcis-31913	84	44	to	to	PART
fcis-31913	84	45	select	select	VERB
fcis-31913	84	46	differentiated	differentiated	ADJ
fcis-31913	84	47	focus	focus	NOUN
fcis-31913	84	48	objects	object	NOUN
fcis-31913	84	49	based	base	VERB
fcis-31913	84	50	on	on	ADP
fcis-31913	84	51	semantic	semantic	ADJ
fcis-31913	84	52	needs	need	NOUN
fcis-31913	84	53	;	;	PUNCT
fcis-31913	84	54	third	third	ADV
fcis-31913	84	55	it	it	PRON
fcis-31913	84	56	suppresses	suppress	VERB
fcis-31913	84	57	interference	interference	NOUN
fcis-31913	84	58	from	from	ADP
fcis-31913	84	59	complex	complex	ADJ
fcis-31913	84	60	textures	texture	NOUN
fcis-31913	84	61	through	through	ADP
fcis-31913	84	62	sparse	sparse	ADJ
fcis-31913	84	63	computations	computation	NOUN
fcis-31913	84	64	significantly	significantly	ADV
fcis-31913	84	65	reducing	reduce	VERB
fcis-31913	84	66	false	false	ADJ
fcis-31913	84	67	positive	positive	ADJ
fcis-31913	84	68	rates	rate	NOUN
fcis-31913	84	69	while	while	SCONJ
fcis-31913	84	70	avoiding	avoid	VERB
fcis-31913	84	71	high	high	ADJ
fcis-31913	84	72	complexity	complexity	NOUN
fcis-31913	84	73	and	and	CCONJ
fcis-31913	84	74	memory	memory	NOUN
fcis-31913	84	75	overhead	overhead	NOUN
fcis-31913	84	76	associated	associate	VERB
fcis-31913	84	77	with	with	ADP
fcis-31913	84	78	global	global	ADJ
fcis-31913	84	79	attention	attention	NOUN
fcis-31913	84	80	thus	thus	ADV
fcis-31913	84	81	achieving	achieve	VERB
fcis-31913	84	82	balance	balance	NOUN
fcis-31913	84	83	between	between	ADP
fcis-31913	84	84	accuracy	accuracy	NOUN
fcis-31913	84	85	and	and	CCONJ
fcis-31913	84	86	real	real	ADJ
fcis-31913	84	87	-	-	PUNCT
fcis-31913	84	88	time	time	NOUN
fcis-31913	84	89	performance	performance	NOUN
fcis-31913	84	90	.	.	PUNCT
fcis-31913	85	1	in	in	ADP
fcis-31913	85	2	conclusion	conclusion	NOUN
fcis-31913	85	3	,	,	PUNCT
fcis-31913	85	4	the	the	DET
fcis-31913	85	5	c2bra	c2bra	NOUN
fcis-31913	85	6	module	module	NOUN
fcis-31913	85	7	embodies	embody	VERB
fcis-31913	85	8	both	both	PRON
fcis-31913	85	9	theoretical	theoretical	ADJ
fcis-31913	85	10	innovation	innovation	NOUN
fcis-31913	85	11	and	and	CCONJ
fcis-31913	85	12	engineering	engineering	NOUN
fcis-31913	85	13	application	application	NOUN
fcis-31913	85	14	value	value	NOUN
fcis-31913	85	15	providing	provide	VERB
fcis-31913	85	16	a	a	DET
fcis-31913	85	17	feasible	feasible	ADJ
fcis-31913	85	18	yet	yet	CCONJ
fcis-31913	85	19	efficient	efficient	ADJ
fcis-31913	85	20	solution	solution	NOUN
fcis-31913	85	21	for	for	ADP
fcis-31913	85	22	wood	wood	NOUN
fcis-31913	85	23	defect	defect	NOUN
fcis-31913	85	24	detection	detection	NOUN
fcis-31913	85	25	.	.	PUNCT
fcis-31913	86	1	ar	ar	PROPN
fcis-31913	86	2	=	=	PROPN
fcis-31913	86	3	qr	qr	PROPN
fcis-31913	86	4	(	(	PUNCT
fcis-31913	86	5	kr	kr	PROPN
fcis-31913	86	6	)	)	PUNCT
fcis-31913	86	7	t	t	PROPN
fcis-31913	86	8	(	(	PUNCT
fcis-31913	86	9	1	1	X
fcis-31913	86	10	)	)	PUNCT
fcis-31913	86	11	kg	kg	NOUN
fcis-31913	86	12	=	=	PUNCT
fcis-31913	86	13	gather	gather	PROPN
fcis-31913	86	14	(	(	PUNCT
fcis-31913	86	15	k	k	X
fcis-31913	86	16	,	,	PUNCT
fcis-31913	86	17	ir	ir	PROPN
fcis-31913	86	18	)	)	PUNCT
fcis-31913	86	19	(	(	PUNCT
fcis-31913	86	20	2	2	X
fcis-31913	86	21	)	)	PUNCT
fcis-31913	86	22	vg	vg	NOUN
fcis-31913	86	23	=	=	PUNCT
fcis-31913	86	24	gather	gather	X
fcis-31913	86	25	(	(	PUNCT
fcis-31913	86	26	v	v	NOUN
fcis-31913	86	27	,	,	PUNCT
fcis-31913	86	28	ir	ir	NOUN
fcis-31913	86	29	)	)	PUNCT
fcis-31913	86	30	(	(	PUNCT
fcis-31913	86	31	3	3	X
fcis-31913	86	32	)	)	PUNCT
fcis-31913	86	33	o	o	NOUN
fcis-31913	87	1	=	=	SYM
fcis-31913	87	2	attention(q	attention(q	PROPN
fcis-31913	87	3	,	,	PUNCT
fcis-31913	87	4	kg	kg	PROPN
fcis-31913	87	5	,	,	PUNCT
fcis-31913	87	6	vg	vg	NOUN
fcis-31913	87	7	)	)	PUNCT
fcis-31913	87	8	+	+	NUM
fcis-31913	87	9	lce(v	lce(v	NOUN
fcis-31913	87	10	)	)	PUNCT
fcis-31913	87	11	(	(	PUNCT
fcis-31913	87	12	4	4	X
fcis-31913	87	13	)	)	PUNCT
fcis-31913	87	14	figure	figure	NOUN
fcis-31913	87	15	6	6	NUM
fcis-31913	87	16	.	.	PUNCT
fcis-31913	87	17	schematic	schematic	ADJ
fcis-31913	87	18	diagram	diagram	NOUN
fcis-31913	87	19	of	of	ADP
fcis-31913	87	20	bra	bra	NOUN
fcis-31913	87	21	attention	attention	NOUN
fcis-31913	87	22	mechanism	mechanism	NOUN
fcis-31913	87	23	process	process	NOUN
fcis-31913	87	24	4	4	NUM
fcis-31913	87	25	.	.	PUNCT
fcis-31913	88	1	experimental	experimental	ADJ
fcis-31913	88	2	comparison	comparison	NOUN
fcis-31913	88	3	and	and	CCONJ
fcis-31913	88	4	analysis	analysis	NOUN
fcis-31913	88	5	4.1	4.1	NUM
fcis-31913	88	6	.	.	PUNCT
fcis-31913	89	1	dataset	dataset	NOUN
fcis-31913	89	2	construction	construction	NOUN
fcis-31913	89	3	this	this	DET
fcis-31913	89	4	study	study	NOUN
fcis-31913	89	5	utilizes	utilize	VERB
fcis-31913	89	6	a	a	DET
fcis-31913	89	7	complete	complete	ADJ
fcis-31913	89	8	wood	wood	NOUN
fcis-31913	89	9	surface	surface	NOUN
fcis-31913	89	10	defect	defect	NOUN
fcis-31913	89	11	dataset	dataset	NOUN
fcis-31913	89	12	provided	provide	VERB
fcis-31913	89	13	by	by	ADP
fcis-31913	89	14	the	the	DET
fcis-31913	89	15	czech	czech	PROPN
fcis-31913	89	16	technical	technical	PROPN
fcis-31913	89	17	university	university	PROPN
fcis-31913	89	18	in	in	ADP
fcis-31913	89	19	ostrava	ostrava	PROPN
fcis-31913	89	20	,	,	PUNCT
fcis-31913	89	21	consisting	consist	VERB
fcis-31913	89	22	of	of	ADP
fcis-31913	89	23	a	a	DET
fcis-31913	89	24	total	total	NOUN
fcis-31913	89	25	of	of	ADP
fcis-31913	89	26	20,275	20,275	NUM
fcis-31913	89	27	images	image	NOUN
fcis-31913	89	28	,	,	PUNCT
fcis-31913	89	29	of	of	ADP
fcis-31913	89	30	which	which	PRON
fcis-31913	89	31	18,283	18,283	NUM
fcis-31913	89	32	contain	contain	VERB
fcis-31913	89	33	one	one	NUM
fcis-31913	89	34	or	or	CCONJ
fcis-31913	89	35	more	more	ADJ
fcis-31913	89	36	defects	defect	NOUN
fcis-31913	89	37	and	and	CCONJ
fcis-31913	89	38	1,992	1,992	NUM
fcis-31913	89	39	are	be	AUX
fcis-31913	89	40	defect	defect	NOUN
fcis-31913	89	41	-	-	PUNCT
fcis-31913	89	42	free	free	ADJ
fcis-31913	89	43	.	.	PUNCT
fcis-31913	90	1	the	the	DET
fcis-31913	90	2	original	original	ADJ
fcis-31913	90	3	annotations	annotation	NOUN
fcis-31913	90	4	of	of	ADP
fcis-31913	90	5	the	the	DET
fcis-31913	90	6	dataset	dataset	NOUN
fcis-31913	90	7	cover	cover	NOUN
fcis-31913	90	8	a	a	DET
fcis-31913	90	9	total	total	NOUN
fcis-31913	90	10	of	of	ADP
fcis-31913	90	11	12	12	NUM
fcis-31913	90	12	defect	defect	NOUN
fcis-31913	90	13	types	type	NOUN
fcis-31913	90	14	including	include	VERB
fcis-31913	90	15	live	live	ADJ
fcis-31913	90	16	knots	knot	NOUN
fcis-31913	90	17	,	,	PUNCT
fcis-31913	90	18	dead	dead	ADJ
fcis-31913	90	19	knots	knot	NOUN
fcis-31913	90	20	,	,	PUNCT
fcis-31913	90	21	and	and	CCONJ
fcis-31913	90	22	others	other	NOUN
fcis-31913	90	23	,	,	PUNCT
fcis-31913	90	24	with	with	ADP
fcis-31913	90	25	all	all	DET
fcis-31913	90	26	images	image	NOUN
fcis-31913	90	27	having	have	VERB
fcis-31913	90	28	a	a	DET
fcis-31913	90	29	resolution	resolution	NOUN
fcis-31913	90	30	of	of	ADP
fcis-31913	90	31	2,800	2,800	NUM
fcis-31913	90	32	×	×	NOUN
fcis-31913	90	33	1,024	1,024	NUM
fcis-31913	90	34	.	.	PUNCT
fcis-31913	91	1	statistical	statistical	ADJ
fcis-31913	91	2	analysis	analysis	NOUN
fcis-31913	91	3	revealed	reveal	VERB
fcis-31913	91	4	two	two	NUM
fcis-31913	91	5	main	main	ADJ
fcis-31913	91	6	issues	issue	NOUN
fcis-31913	91	7	with	with	ADP
fcis-31913	91	8	the	the	DET
fcis-31913	91	9	dataset	dataset	NOUN
fcis-31913	91	10	:	:	PUNCT
fcis-31913	91	11	first	first	ADV
fcis-31913	91	12	,	,	PUNCT
fcis-31913	91	13	some	some	DET
fcis-31913	91	14	categories	category	NOUN
fcis-31913	91	15	have	have	VERB
fcis-31913	91	16	significantly	significantly	ADV
fcis-31913	91	17	more	more	ADJ
fcis-31913	91	18	samples	sample	NOUN
fcis-31913	91	19	than	than	ADP
fcis-31913	91	20	others	other	NOUN
fcis-31913	91	21	leading	lead	VERB
fcis-31913	91	22	to	to	ADP
fcis-31913	91	23	severe	severe	ADJ
fcis-31913	91	24	imbalance	imbalance	NOUN
fcis-31913	91	25	;	;	PUNCT
fcis-31913	91	26	second	second	ADJ
fcis-31913	91	27	,	,	PUNCT
fcis-31913	91	28	certain	certain	ADJ
fcis-31913	91	29	defect	defect	NOUN
fcis-31913	91	30	categories	category	NOUN
fcis-31913	91	31	exhibit	exhibit	VERB
fcis-31913	91	32	highly	highly	ADV
fcis-31913	91	33	similar	similar	ADJ
fcis-31913	91	34	visual	visual	ADJ
fcis-31913	91	35	features	feature	NOUN
fcis-31913	91	36	which	which	PRON
fcis-31913	91	37	can	can	AUX
fcis-31913	91	38	confuse	confuse	VERB
fcis-31913	91	39	the	the	DET
fcis-31913	91	40	model	model	NOUN
fcis-31913	91	41	during	during	ADP
fcis-31913	91	42	training	training	NOUN
fcis-31913	91	43	.	.	PUNCT
fcis-31913	92	1	these	these	DET
fcis-31913	92	2	issues	issue	NOUN
fcis-31913	92	3	result	result	VERB
fcis-31913	92	4	in	in	ADP
fcis-31913	92	5	insufficient	insufficient	ADJ
fcis-31913	92	6	learning	learning	NOUN
fcis-31913	92	7	for	for	ADP
fcis-31913	92	8	low	low	ADJ
fcis-31913	92	9	-	-	PUNCT
fcis-31913	92	10	sample	sample	NOUN
fcis-31913	92	11	categories	category	NOUN
fcis-31913	92	12	and	and	CCONJ
fcis-31913	92	13	demonstrate	demonstrate	VERB
fcis-31913	92	14	uneven	uneven	ADJ
fcis-31913	92	15	detection	detection	NOUN
fcis-31913	92	16	accuracy	accuracy	NOUN
fcis-31913	92	17	under	under	ADP
fcis-31913	92	18	complex	complex	ADJ
fcis-31913	92	19	backgrounds	background	NOUN
fcis-31913	92	20	.	.	PUNCT
fcis-31913	93	1	to	to	PART
fcis-31913	93	2	address	address	VERB
fcis-31913	93	3	these	these	DET
fcis-31913	93	4	problems	problem	NOUN
fcis-31913	93	5	,	,	PUNCT
fcis-31913	93	6	this	this	DET
fcis-31913	93	7	paper	paper	NOUN
fcis-31913	93	8	implemented	implement	VERB
fcis-31913	93	9	systematic	systematic	ADJ
fcis-31913	93	10	processing	processing	NOUN
fcis-31913	93	11	during	during	ADP
fcis-31913	93	12	data	datum	NOUN
fcis-31913	93	13	selection	selection	NOUN
fcis-31913	93	14	and	and	CCONJ
fcis-31913	93	15	augmentation	augmentation	NOUN
fcis-31913	93	16	stages	stage	NOUN
fcis-31913	93	17	.	.	PUNCT
fcis-31913	94	1	initially	initially	ADV
fcis-31913	94	2	,	,	PUNCT
fcis-31913	94	3	images	image	NOUN
fcis-31913	94	4	with	with	ADP
fcis-31913	94	5	blank	blank	ADJ
fcis-31913	94	6	labels	label	NOUN
fcis-31913	94	7	or	or	CCONJ
fcis-31913	94	8	those	those	PRON
fcis-31913	94	9	that	that	PRON
fcis-31913	94	10	were	be	AUX
fcis-31913	94	11	blurry	blurry	ADJ
fcis-31913	94	12	or	or	CCONJ
fcis-31913	94	13	severely	severely	ADV
fcis-31913	94	14	damaged	damage	VERB
fcis-31913	94	15	were	be	AUX
fcis-31913	94	16	removed	remove	VERB
fcis-31913	94	17	to	to	PART
fcis-31913	94	18	ensure	ensure	VERB
fcis-31913	94	19	data	datum	NOUN
fcis-31913	94	20	quality	quality	NOUN
fcis-31913	94	21	.	.	PUNCT
fcis-31913	95	1	subsequently	subsequently	ADV
fcis-31913	95	2	,	,	PUNCT
fcis-31913	95	3	various	various	ADJ
fcis-31913	95	4	data	datum	NOUN
fcis-31913	95	5	augmentation	augmentation	NOUN
fcis-31913	95	6	strategies	strategy	NOUN
fcis-31913	95	7	were	be	AUX
fcis-31913	95	8	introduced	introduce	VERB
fcis-31913	95	9	including	include	VERB
fcis-31913	95	10	sharpening	sharpen	VERB
fcis-31913	95	11	,	,	PUNCT
fcis-31913	95	12	brightness	brightness	NOUN
fcis-31913	95	13	adjustment	adjustment	NOUN
fcis-31913	95	14	,	,	PUNCT
fcis-31913	95	15	random	random	ADJ
fcis-31913	95	16	hue	hue	NOUN
fcis-31913	95	17	modification	modification	NOUN
fcis-31913	95	18	,	,	PUNCT
fcis-31913	95	19	and	and	CCONJ
fcis-31913	95	20	horizontal	horizontal	ADJ
fcis-31913	95	21	flipping	flipping	NOUN
fcis-31913	95	22	to	to	PART
fcis-31913	95	23	expand	expand	VERB
fcis-31913	95	24	sample	sample	NOUN
fcis-31913	95	25	size	size	NOUN
fcis-31913	95	26	and	and	CCONJ
fcis-31913	95	27	increase	increase	VERB
fcis-31913	95	28	diversity	diversity	NOUN
fcis-31913	95	29	.	.	PUNCT
fcis-31913	96	1	particularly	particularly	ADV
fcis-31913	96	2	for	for	ADP
fcis-31913	96	3	defect	defect	ADJ
fcis-31913	96	4	categories	category	NOUN
fcis-31913	96	5	with	with	ADP
fcis-31913	96	6	fewer	few	ADJ
fcis-31913	96	7	samples	sample	NOUN
fcis-31913	96	8	,	,	PUNCT
fcis-31913	96	9	targeted	target	VERB
fcis-31913	96	10	augmentation	augmentation	NOUN
fcis-31913	96	11	strategies	strategy	NOUN
fcis-31913	96	12	were	be	AUX
fcis-31913	96	13	employed	employ	VERB
fcis-31913	96	14	effectively	effectively	ADV
fcis-31913	96	15	alleviating	alleviate	VERB
fcis-31913	96	16	class	class	NOUN
fcis-31913	96	17	imbalance	imbalance	NOUN
fcis-31913	96	18	issues	issue	NOUN
fcis-31913	96	19	and	and	CCONJ
fcis-31913	96	20	providing	provide	VERB
fcis-31913	96	21	more	more	ADV
fcis-31913	96	22	sufficient	sufficient	ADJ
fcis-31913	96	23	and	and	CCONJ
fcis-31913	96	24	balanced	balanced	ADJ
fcis-31913	96	25	sample	sample	NOUN
fcis-31913	96	26	support	support	NOUN
fcis-31913	96	27	for	for	ADP
fcis-31913	96	28	subsequent	subsequent	ADJ
fcis-31913	96	29	training	training	NOUN
fcis-31913	96	30	.	.	PUNCT
fcis-31913	97	1	following	follow	VERB
fcis-31913	97	2	these	these	DET
fcis-31913	97	3	preprocessing	preprocessing	NOUN
fcis-31913	97	4	and	and	CCONJ
fcis-31913	97	5	augmentation	augmentation	NOUN
fcis-31913	97	6	steps	step	NOUN
fcis-31913	97	7	,	,	PUNCT
fcis-31913	97	8	the	the	DET
fcis-31913	97	9	label	label	NOUN
fcis-31913	97	10	distribution	distribution	NOUN
fcis-31913	97	11	of	of	ADP
fcis-31913	97	12	the	the	DET
fcis-31913	97	13	dataset	dataset	NOUN
fcis-31913	97	14	was	be	AUX
fcis-31913	97	15	significantly	significantly	ADV
fcis-31913	97	16	balanced	balanced	ADJ
fcis-31913	97	17	with	with	ADP
fcis-31913	97	18	each	each	DET
fcis-31913	97	19	defect	defect	NOUN
fcis-31913	97	20	category	category	NOUN
fcis-31913	97	21	having	have	VERB
fcis-31913	97	22	over	over	ADP
fcis-31913	97	23	1,000	1,000	NUM
fcis-31913	97	24	samples	sample	NOUN
fcis-31913	97	25	.	.	PUNCT
fcis-31913	98	1	the	the	DET
fcis-31913	98	2	final	final	ADJ
fcis-31913	98	3	constructed	construct	VERB
fcis-31913	98	4	dataset	dataset	NOUN
fcis-31913	98	5	contains	contain	VERB
fcis-31913	98	6	5,007	5,007	NUM
fcis-31913	98	7	high	high	ADJ
fcis-31913	98	8	-	-	PUNCT
fcis-31913	98	9	quality	quality	NOUN
fcis-31913	98	10	images	image	NOUN
fcis-31913	98	11	as	as	SCONJ
fcis-31913	98	12	shown	show	VERB
fcis-31913	98	13	in	in	ADP
fcis-31913	98	14	table	table	NOUN
fcis-31913	98	15	1	1	NUM
fcis-31913	98	16	covering	cover	VERB
fcis-31913	98	17	all	all	DET
fcis-31913	98	18	target	target	NOUN
fcis-31913	98	19	defect	defect	NOUN
fcis-31913	98	20	categories	category	NOUN
fcis-31913	98	21	and	and	CCONJ
fcis-31913	98	22	is	be	AUX
fcis-31913	98	23	divided	divide	VERB
fcis-31913	98	24	into	into	ADP
fcis-31913	98	25	training	training	NOUN
fcis-31913	98	26	set	set	NOUN
fcis-31913	98	27	,	,	PUNCT
fcis-31913	98	28	validation	validation	NOUN
fcis-31913	98	29	set	set	NOUN
fcis-31913	98	30	,	,	PUNCT
fcis-31913	98	31	and	and	CCONJ
fcis-31913	98	32	test	test	NOUN
fcis-31913	98	33	set	set	VERB
fcis-31913	98	34	in	in	ADP
fcis-31913	98	35	an	an	DET
fcis-31913	98	36	8:1:1	8:1:1	NUM
fcis-31913	98	37	ratio	ratio	NOUN
fcis-31913	98	38	.	.	PUNCT
fcis-31913	99	1	this	this	DET
fcis-31913	99	2	series	series	NOUN
fcis-31913	99	3	of	of	ADP
fcis-31913	99	4	processing	processing	NOUN
fcis-31913	99	5	operations	operation	NOUN
fcis-31913	99	6	not	not	PART
fcis-31913	99	7	only	only	ADV
fcis-31913	99	8	ensured	ensure	VERB
fcis-31913	99	9	the	the	DET
fcis-31913	99	10	reliability	reliability	NOUN
fcis-31913	99	11	and	and	CCONJ
fcis-31913	99	12	balance	balance	NOUN
fcis-31913	99	13	of	of	ADP
fcis-31913	99	14	the	the	DET
fcis-31913	99	15	data	datum	NOUN
fcis-31913	99	16	but	but	CCONJ
fcis-31913	99	17	also	also	ADV
fcis-31913	99	18	enhanced	enhance	VERB
fcis-31913	99	19	the	the	DET
fcis-31913	99	20	model	model	NOUN
fcis-31913	99	21	’s	’s	PART
fcis-31913	99	22	ability	ability	NOUN
fcis-31913	99	23	to	to	PART
fcis-31913	99	24	learn	learn	VERB
fcis-31913	99	25	from	from	ADP
fcis-31913	99	26	different	different	ADJ
fcis-31913	99	27	defect	defect	NOUN
fcis-31913	99	28	categories	category	NOUN
fcis-31913	99	29	.	.	PUNCT
fcis-31913	100	1	in	in	ADP
fcis-31913	100	2	summary	summary	NOUN
fcis-31913	100	3	,	,	PUNCT
fcis-31913	100	4	the	the	DET
fcis-31913	100	5	constructed	construct	VERB
fcis-31913	100	6	dataset	dataset	NOUN
fcis-31913	100	7	possesses	possesse	NOUN
fcis-31913	100	8	favorable	favorable	ADJ
fcis-31913	100	9	characteristics	characteristic	NOUN
fcis-31913	100	10	in	in	ADP
fcis-31913	100	11	terms	term	NOUN
fcis-31913	100	12	of	of	ADP
fcis-31913	100	13	sample	sample	NOUN
fcis-31913	100	14	size	size	NOUN
fcis-31913	100	15	,	,	PUNCT
fcis-31913	100	16	category	category	NOUN
fcis-31913	100	17	distribution	distribution	NOUN
fcis-31913	100	18	,	,	PUNCT
fcis-31913	100	19	and	and	CCONJ
fcis-31913	100	20	data	datum	NOUN
fcis-31913	100	21	quality	quality	NOUN
fcis-31913	100	22	providing	provide	VERB
fcis-31913	100	23	a	a	DET
fcis-31913	100	24	solid	solid	ADJ
fcis-31913	100	25	foundation	foundation	NOUN
fcis-31913	100	26	for	for	ADP
fcis-31913	100	27	the	the	DET
fcis-31913	100	28	training	training	NOUN
fcis-31913	100	29	and	and	CCONJ
fcis-31913	100	30	evaluation	evaluation	NOUN
fcis-31913	100	31	of	of	ADP
fcis-31913	100	32	subsequent	subsequent	ADJ
fcis-31913	100	33	wood	wood	NOUN
fcis-31913	100	34	defect	defect	NOUN
fcis-31913	100	35	detection	detection	NOUN
fcis-31913	100	36	models	model	NOUN
fcis-31913	100	37	.	.	PUNCT
fcis-31913	101	1	table	table	NOUN
fcis-31913	101	2	1	1	NUM
fcis-31913	101	3	.	.	PUNCT
fcis-31913	101	4	comparison	comparison	NOUN
fcis-31913	101	5	of	of	ADP
fcis-31913	101	6	dataset	dataset	ADJ
fcis-31913	101	7	labels	label	NOUN
fcis-31913	101	8	dataset	dataset	VERB
fcis-31913	101	9	name	name	NOUN
fcis-31913	101	10	quartzity	quartzity	NOUN
fcis-31913	101	11	live	live	ADJ
fcis-31913	101	12	knot	knot	NOUN
fcis-31913	101	13	marrow	marrow	NOUN
fcis-31913	101	14	resin	resin	NOUN
fcis-31913	101	15	dead_knot	dead_knot	NOUN
fcis-31913	101	16	knot	knot	NOUN
fcis-31913	101	17	_	_	NOUN
fcis-31913	101	18	with	with	ADP
fcis-31913	101	19	_	_	PUNCT
fcis-31913	101	20	crack	crack	VERB
fcis-31913	101	21	knot_missing	knot_misse	VERB
fcis-31913	101	22	crack	crack	NOUN
fcis-31913	101	23	czech	czech	NOUN
fcis-31913	101	24	dataset	dataset	VERB
fcis-31913	101	25	503	503	NUM
fcis-31913	101	26	1075	1075	NUM
fcis-31913	101	27	2276	2276	NUM
fcis-31913	101	28	11985	11985	NUM
fcis-31913	101	29	21224	21224	NUM
fcis-31913	101	30	1181	1181	NUM
fcis-31913	101	31	2169	2169	NUM
fcis-31913	101	32	3455	3455	NUM
fcis-31913	101	33	final	final	ADJ
fcis-31913	101	34	dataset	dataset	NOUN
fcis-31913	101	35	1144	1144	NUM
fcis-31913	101	36	1068	1068	NUM
fcis-31913	101	37	2267	2267	NUM
fcis-31913	101	38	3560	3560	NUM
fcis-31913	101	39	6389	6389	NUM
fcis-31913	101	40	1175	1175	NUM
fcis-31913	101	41	2113	2113	NUM
fcis-31913	101	42	3434	3434	NUM
fcis-31913	101	43	55	55	NUM
fcis-31913	101	44	4.2	4.2	NUM
fcis-31913	101	45	.	.	PUNCT
fcis-31913	102	1	experimental	experimental	ADJ
fcis-31913	102	2	environment	environment	NOUN
fcis-31913	102	3	setup	setup	NOUN
fcis-31913	102	4	and	and	CCONJ
fcis-31913	102	5	training	training	NOUN
fcis-31913	102	6	parameter	parameter	NOUN
fcis-31913	102	7	configuration	configuration	NOUN
fcis-31913	102	8	the	the	DET
fcis-31913	102	9	experiments	experiment	NOUN
fcis-31913	102	10	were	be	AUX
fcis-31913	102	11	conducted	conduct	VERB
fcis-31913	102	12	on	on	ADP
fcis-31913	102	13	a	a	DET
fcis-31913	102	14	high	high	ADJ
fcis-31913	102	15	-	-	PUNCT
fcis-31913	102	16	performance	performance	NOUN
fcis-31913	102	17	computing	computing	NOUN
fcis-31913	102	18	platform	platform	NOUN
fcis-31913	102	19	equipped	equip	VERB
fcis-31913	102	20	with	with	ADP
fcis-31913	102	21	an	an	DET
fcis-31913	102	22	intel	intel	NOUN
fcis-31913	102	23	core	core	NOUN
fcis-31913	102	24	™	™	VERB
fcis-31913	102	25	i712700k	i712700k	PRON
fcis-31913	102	26	processor	processor	NOUN
fcis-31913	102	27	(	(	PUNCT
fcis-31913	102	28	12th	12th	ADJ
fcis-31913	102	29	generation	generation	NOUN
fcis-31913	102	30	)	)	PUNCT
fcis-31913	102	31	,	,	PUNCT
fcis-31913	102	32	nvidia	nvidia	PROPN
fcis-31913	102	33	geforce	geforce	PROPN
fcis-31913	102	34	rtx	rtx	PROPN
fcis-31913	102	35	3060	3060	NUM
fcis-31913	102	36	graphics	graphic	NOUN
fcis-31913	102	37	card	card	NOUN
fcis-31913	102	38	,	,	PUNCT
fcis-31913	102	39	and	and	CCONJ
fcis-31913	102	40	32	32	NUM
fcis-31913	102	41	gb	gb	NOUN
fcis-31913	102	42	ram	ram	NOUN
fcis-31913	102	43	;	;	PUNCT
fcis-31913	102	44	the	the	DET
fcis-31913	102	45	operating	operate	VERB
fcis-31913	102	46	system	system	NOUN
fcis-31913	102	47	was	be	AUX
fcis-31913	102	48	windows	window	NOUN
fcis-31913	102	49	11	11	NUM
fcis-31913	102	50	while	while	SCONJ
fcis-31913	102	51	the	the	DET
fcis-31913	102	52	development	development	NOUN
fcis-31913	102	53	environment	environment	NOUN
fcis-31913	102	54	included	include	VERB
fcis-31913	102	55	python	python	PROPN
fcis-31913	102	56	3.8	3.8	NUM
fcis-31913	102	57	,	,	PUNCT
fcis-31913	102	58	pytorch	pytorch	NOUN
fcis-31913	102	59	1.8.0	1.8.0	NUM
fcis-31913	102	60	,	,	PUNCT
fcis-31913	102	61	cuda	cuda	NOUN
fcis-31913	102	62	11.0	11.0	NUM
fcis-31913	102	63	,	,	PUNCT
fcis-31913	102	64	and	and	CCONJ
fcis-31913	102	65	cudnn	cudnn	NOUN
fcis-31913	102	66	8.1.5	8.1.5	NUM
fcis-31913	102	67	.	.	PUNCT
fcis-31913	103	1	the	the	DET
fcis-31913	103	2	initial	initial	ADJ
fcis-31913	103	3	learning	learning	NOUN
fcis-31913	103	4	rate	rate	NOUN
fcis-31913	103	5	was	be	AUX
fcis-31913	103	6	set	set	VERB
fcis-31913	103	7	to	to	ADP
fcis-31913	103	8	0.01	0.01	NUM
fcis-31913	103	9	with	with	ADP
fcis-31913	103	10	a	a	DET
fcis-31913	103	11	cosine	cosine	NOUN
fcis-31913	103	12	decay	decay	NOUN
fcis-31913	103	13	function	function	NOUN
fcis-31913	103	14	applied	apply	VERB
fcis-31913	103	15	for	for	ADP
fcis-31913	103	16	learning	learn	VERB
fcis-31913	103	17	rate	rate	NOUN
fcis-31913	103	18	adjustments	adjustment	NOUN
fcis-31913	103	19	at	at	ADP
fcis-31913	103	20	a	a	DET
fcis-31913	103	21	period	period	NOUN
fcis-31913	103	22	of	of	ADP
fcis-31913	103	23	0.01	0.01	NUM
fcis-31913	103	24	.	.	PUNCT
fcis-31913	104	1	input	input	NOUN
fcis-31913	104	2	image	image	NOUN
fcis-31913	104	3	size	size	NOUN
fcis-31913	104	4	was	be	AUX
fcis-31913	104	5	set	set	VERB
fcis-31913	104	6	to	to	ADP
fcis-31913	104	7	1280	1280	NUM
fcis-31913	104	8	×	×	NOUN
fcis-31913	104	9	1280	1280	NUM
fcis-31913	104	10	with	with	ADP
fcis-31913	104	11	a	a	DET
fcis-31913	104	12	batch	batch	NOUN
fcis-31913	104	13	size	size	NOUN
fcis-31913	104	14	of	of	ADP
fcis-31913	104	15	four	four	NUM
fcis-31913	104	16	;	;	PUNCT
fcis-31913	104	17	training	training	NOUN
fcis-31913	104	18	was	be	AUX
fcis-31913	104	19	conducted	conduct	VERB
fcis-31913	104	20	for	for	ADP
fcis-31913	104	21	a	a	DET
fcis-31913	104	22	total	total	NOUN
fcis-31913	104	23	of	of	ADP
fcis-31913	104	24	300	300	NUM
fcis-31913	104	25	epochs	epoch	NOUN
fcis-31913	104	26	;	;	PUNCT
fcis-31913	104	27	experimental	experimental	ADJ
fcis-31913	104	28	environment	environment	NOUN
fcis-31913	104	29	details	detail	NOUN
fcis-31913	104	30	and	and	CCONJ
fcis-31913	104	31	related	related	ADJ
fcis-31913	104	32	configurations	configuration	NOUN
fcis-31913	104	33	are	be	AUX
fcis-31913	104	34	shown	show	VERB
fcis-31913	104	35	in	in	ADP
fcis-31913	104	36	table	table	NOUN
fcis-31913	104	37	2	2	NUM
fcis-31913	104	38	.	.	PUNCT
fcis-31913	104	39	table	table	NOUN
fcis-31913	104	40	2	2	NUM
fcis-31913	104	41	.	.	PUNCT
fcis-31913	104	42	experimental	experimental	ADJ
fcis-31913	104	43	environment	environment	NOUN
fcis-31913	104	44	name	name	NOUN
fcis-31913	104	45	related	relate	VERB
fcis-31913	104	46	configuration	configuration	NOUN
fcis-31913	104	47	operating	operating	NOUN
fcis-31913	104	48	system	system	NOUN
fcis-31913	104	49	windows	window	VERB
fcis-31913	104	50	11	11	NUM
fcis-31913	104	51	(	(	PUNCT
fcis-31913	104	52	64	64	NUM
fcis-31913	104	53	bits	bit	NOUN
fcis-31913	104	54	)	)	PUNCT
fcis-31913	104	55	python	python	PROPN
fcis-31913	104	56	/	/	SYM
fcis-31913	104	57	pytorch	pytorch	NOUN
fcis-31913	105	1	3.8/1.8.0	3.8/1.8.0	NUM
fcis-31913	105	2	cuda	cuda	PROPN
fcis-31913	105	3	/	/	SYM
fcis-31913	105	4	cudnn	cudnn	NOUN
fcis-31913	105	5	11.0/8.1.5	11.0/8.1.5	NUM
fcis-31913	105	6	cpu	cpu	NOUN
fcis-31913	105	7	12th	12th	NOUN
fcis-31913	105	8	gen	gen	PROPN
fcis-31913	105	9	intel	intel	PROPN
fcis-31913	105	10	®	®	NOUN
fcis-31913	105	11	core	core	NOUN
fcis-31913	105	12	™	™	VERB
fcis-31913	105	13	i7	i7	NOUN
fcis-31913	105	14	-	-	PUNCT
fcis-31913	105	15	12700k	12700k	NUM
fcis-31913	105	16	3.61	3.61	NUM
fcis-31913	105	17	ghz	ghz	NOUN
fcis-31913	105	18	gpu	gpu	X
fcis-31913	105	19	nvidia	nvidia	PROPN
fcis-31913	105	20	geforce	geforce	NOUN
fcis-31913	105	21	rtx	rtx	PROPN
fcis-31913	105	22	3060	3060	NUM
fcis-31913	105	23	memory	memory	NOUN
fcis-31913	105	24	32	32	NUM
fcis-31913	105	25	gb	gb	ADP
fcis-31913	105	26	4.3	4.3	NUM
fcis-31913	105	27	.	.	PUNCT
fcis-31913	106	1	evaluation	evaluation	NOUN
fcis-31913	106	2	metrics	metric	NOUN
fcis-31913	106	3	this	this	DET
fcis-31913	106	4	study	study	NOUN
fcis-31913	106	5	employs	employ	VERB
fcis-31913	106	6	three	three	NUM
fcis-31913	106	7	key	key	ADJ
fcis-31913	106	8	evaluation	evaluation	NOUN
fcis-31913	106	9	metrics	metric	NOUN
fcis-31913	106	10	to	to	PART
fcis-31913	106	11	assess	assess	VERB
fcis-31913	106	12	the	the	DET
fcis-31913	106	13	effectiveness	effectiveness	NOUN
fcis-31913	106	14	of	of	ADP
fcis-31913	106	15	the	the	DET
fcis-31913	106	16	improved	improved	ADJ
fcis-31913	106	17	algorithm	algorithm	NOUN
fcis-31913	106	18	:	:	PUNCT
fcis-31913	106	19	precision	precision	NOUN
fcis-31913	106	20	,	,	PUNCT
fcis-31913	106	21	recall	recall	NOUN
fcis-31913	106	22	,	,	PUNCT
fcis-31913	106	23	and	and	CCONJ
fcis-31913	106	24	mean	mean	VERB
fcis-31913	106	25	average	average	ADJ
fcis-31913	106	26	precision	precision	NOUN
fcis-31913	106	27	(	(	PUNCT
fcis-31913	106	28	map	map	NOUN
fcis-31913	106	29	)	)	PUNCT
fcis-31913	106	30	.	.	PUNCT
fcis-31913	107	1	the	the	DET
fcis-31913	107	2	mathematical	mathematical	ADJ
fcis-31913	107	3	definitions	definition	NOUN
fcis-31913	107	4	and	and	CCONJ
fcis-31913	107	5	calculation	calculation	NOUN
fcis-31913	107	6	formulas	formula	NOUN
fcis-31913	107	7	for	for	ADP
fcis-31913	107	8	each	each	DET
fcis-31913	107	9	metric	metric	NOUN
fcis-31913	107	10	are	be	AUX
fcis-31913	107	11	as	as	SCONJ
fcis-31913	107	12	follows	follow	VERB
fcis-31913	107	13	:	:	PUNCT
fcis-31913	107	14	(	(	PUNCT
fcis-31913	107	15	1	1	X
fcis-31913	107	16	)	)	PUNCT
fcis-31913	107	17	precision	precision	NOUN
fcis-31913	107	18	:	:	PUNCT
fcis-31913	107	19	this	this	PRON
fcis-31913	107	20	refers	refer	VERB
fcis-31913	107	21	to	to	ADP
fcis-31913	107	22	the	the	DET
fcis-31913	107	23	proportion	proportion	NOUN
fcis-31913	107	24	of	of	ADP
fcis-31913	107	25	correctly	correctly	ADV
fcis-31913	107	26	detected	detect	VERB
fcis-31913	107	27	targets	target	NOUN
fcis-31913	107	28	by	by	ADP
fcis-31913	107	29	the	the	DET
fcis-31913	107	30	algorithm	algorithm	NOUN
fcis-31913	107	31	out	out	ADP
fcis-31913	107	32	of	of	ADP
fcis-31913	107	33	all	all	DET
fcis-31913	107	34	detected	detect	VERB
fcis-31913	107	35	targets	target	NOUN
fcis-31913	107	36	.	.	PUNCT
fcis-31913	108	1	tp	tp	NOUN
fcis-31913	108	2	represents	represent	VERB
fcis-31913	108	3	true	true	ADJ
fcis-31913	108	4	positives	positive	NOUN
fcis-31913	108	5	(	(	PUNCT
fcis-31913	108	6	the	the	DET
fcis-31913	108	7	number	number	NOUN
fcis-31913	108	8	of	of	ADP
fcis-31913	108	9	targets	target	NOUN
fcis-31913	108	10	correctly	correctly	ADV
fcis-31913	108	11	predicted	predict	VERB
fcis-31913	108	12	as	as	ADP
fcis-31913	108	13	positive	positive	ADJ
fcis-31913	108	14	)	)	PUNCT
fcis-31913	108	15	,	,	PUNCT
fcis-31913	108	16	while	while	SCONJ
fcis-31913	108	17	fp	fp	NOUN
fcis-31913	108	18	represents	represent	VERB
fcis-31913	108	19	false	false	ADJ
fcis-31913	108	20	positives	positive	NOUN
fcis-31913	108	21	(	(	PUNCT
fcis-31913	108	22	the	the	DET
fcis-31913	108	23	number	number	NOUN
fcis-31913	108	24	of	of	ADP
fcis-31913	108	25	targets	target	NOUN
fcis-31913	108	26	incorrectly	incorrectly	ADV
fcis-31913	108	27	predicted	predict	VERB
fcis-31913	108	28	as	as	ADP
fcis-31913	108	29	positive	positive	ADJ
fcis-31913	108	30	)	)	PUNCT
fcis-31913	108	31	.	.	PUNCT
fcis-31913	109	1	its	its	PRON
fcis-31913	109	2	mathematical	mathematical	ADJ
fcis-31913	109	3	formula	formula	NOUN
fcis-31913	109	4	is	be	AUX
fcis-31913	109	5	as	as	SCONJ
fcis-31913	109	6	follows	follow	VERB
fcis-31913	109	7	:	:	PUNCT
fcis-31913	109	8	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
fcis-31913	109	9	(	(	PUNCT
fcis-31913	109	10	5	5	NUM
fcis-31913	109	11	)	)	PUNCT
fcis-31913	109	12	(	(	PUNCT
fcis-31913	109	13	2	2	X
fcis-31913	109	14	)	)	PUNCT
fcis-31913	109	15	mean	mean	ADJ
fcis-31913	109	16	average	average	ADJ
fcis-31913	109	17	precision	precision	NOUN
fcis-31913	109	18	:	:	PUNCT
fcis-31913	109	19	this	this	PRON
fcis-31913	109	20	refers	refer	VERB
fcis-31913	109	21	to	to	ADP
fcis-31913	109	22	the	the	DET
fcis-31913	109	23	average	average	ADJ
fcis-31913	109	24	value	value	NOUN
fcis-31913	109	25	of	of	ADP
fcis-31913	109	26	average	average	ADJ
fcis-31913	109	27	precision	precision	NOUN
fcis-31913	109	28	calculated	calculate	VERB
fcis-31913	109	29	across	across	ADP
fcis-31913	109	30	multiple	multiple	ADJ
fcis-31913	109	31	categories	category	NOUN
fcis-31913	109	32	used	use	VERB
fcis-31913	109	33	to	to	PART
fcis-31913	109	34	measure	measure	VERB
fcis-31913	109	35	overall	overall	ADJ
fcis-31913	109	36	retrieval	retrieval	NOUN
fcis-31913	109	37	performance	performance	NOUN
fcis-31913	109	38	across	across	ADP
fcis-31913	109	39	all	all	DET
fcis-31913	109	40	classes	class	NOUN
fcis-31913	109	41	.	.	PUNCT
fcis-31913	110	1	q_r	q_r	PROPN
fcis-31913	110	2	is	be	AUX
fcis-31913	110	3	the	the	DET
fcis-31913	110	4	total	total	ADJ
fcis-31913	110	5	number	number	NOUN
fcis-31913	110	6	of	of	ADP
fcis-31913	110	7	categories	category	NOUN
fcis-31913	110	8	;	;	PUNCT
fcis-31913	110	9	q	q	X
fcis-31913	110	10	represents	represent	VERB
fcis-31913	110	11	each	each	DET
fcis-31913	110	12	category	category	NOUN
fcis-31913	110	13	;	;	PUNCT
fcis-31913	110	14	ap(q	ap(q	X
fcis-31913	110	15	)	)	PUNCT
fcis-31913	110	16	is	be	AUX
fcis-31913	110	17	the	the	DET
fcis-31913	110	18	average	average	ADJ
fcis-31913	110	19	precision	precision	NOUN
fcis-31913	110	20	for	for	ADP
fcis-31913	110	21	category	category	NOUN
fcis-31913	110	22	q	q	NOUN
fcis-31913	110	23	;	;	PUNCT
fcis-31913	110	24	its	its	PRON
fcis-31913	110	25	mathematical	mathematical	ADJ
fcis-31913	110	26	expression	expression	NOUN
fcis-31913	110	27	is	be	AUX
fcis-31913	110	28	as	as	SCONJ
fcis-31913	110	29	follows	follow	VERB
fcis-31913	110	30	:	:	PUNCT
fcis-31913	110	31	𝑚𝐴𝑃	𝑚𝐴𝑃	NOUN
fcis-31913	110	32	|	|	ADV
fcis-31913	111	1	|	|	ADV
fcis-31913	111	2	∑	∑	INTJ
fcis-31913	111	3	𝐴𝑃	𝐴𝑃	PROPN
fcis-31913	111	4	𝑞∈	𝑞∈	ADV
fcis-31913	111	5	(	(	PUNCT
fcis-31913	111	6	6	6	NUM
fcis-31913	111	7	)	)	PUNCT
fcis-31913	111	8	(	(	PUNCT
fcis-31913	111	9	3	3	X
fcis-31913	111	10	)	)	PUNCT
fcis-31913	111	11	fps	fps	NOUN
fcis-31913	111	12	(	(	PUNCT
fcis-31913	111	13	frames	frame	NOUN
fcis-31913	111	14	per	per	ADP
fcis-31913	111	15	second	second	ADJ
fcis-31913	111	16	):	):	PUNCT
fcis-31913	111	17	this	this	DET
fcis-31913	111	18	measures	measure	NOUN
fcis-31913	111	19	how	how	SCONJ
fcis-31913	111	20	many	many	ADJ
fcis-31913	111	21	frames	frame	NOUN
fcis-31913	111	22	per	per	ADP
fcis-31913	111	23	second	second	NOUN
fcis-31913	111	24	the	the	DET
fcis-31913	111	25	model	model	NOUN
fcis-31913	111	26	can	can	AUX
fcis-31913	111	27	process	process	VERB
fcis-31913	111	28	reflecting	reflect	VERB
fcis-31913	111	29	both	both	CCONJ
fcis-31913	111	30	realtime	realtime	ADJ
fcis-31913	111	31	performance	performance	NOUN
fcis-31913	111	32	and	and	CCONJ
fcis-31913	111	33	inference	inference	NOUN
fcis-31913	111	34	efficiency	efficiency	NOUN
fcis-31913	111	35	of	of	ADP
fcis-31913	111	36	the	the	DET
fcis-31913	111	37	algorithm	algorithm	NOUN
fcis-31913	111	38	.	.	PUNCT
fcis-31913	112	1	4.4	4.4	NUM
fcis-31913	112	2	.	.	PUNCT
fcis-31913	113	1	comparative	comparative	ADJ
fcis-31913	113	2	experiments	experiment	NOUN
fcis-31913	113	3	to	to	PART
fcis-31913	113	4	further	far	ADV
fcis-31913	113	5	validate	validate	VERB
fcis-31913	113	6	the	the	DET
fcis-31913	113	7	superiority	superiority	NOUN
fcis-31913	113	8	of	of	ADP
fcis-31913	113	9	the	the	DET
fcis-31913	113	10	proposed	propose	VERB
fcis-31913	113	11	yolov11	yolov11	NOUN
fcis-31913	113	12	-	-	PUNCT
fcis-31913	113	13	rabra	rabra	NOUN
fcis-31913	113	14	algorithm	algorithm	NOUN
fcis-31913	113	15	in	in	ADP
fcis-31913	113	16	object	object	NOUN
fcis-31913	113	17	detection	detection	NOUN
fcis-31913	113	18	tasks	task	NOUN
fcis-31913	113	19	this	this	DET
fcis-31913	113	20	paper	paper	NOUN
fcis-31913	113	21	conducts	conduct	VERB
fcis-31913	113	22	comparative	comparative	ADJ
fcis-31913	113	23	experiments	experiment	NOUN
fcis-31913	113	24	against	against	ADP
fcis-31913	113	25	representative	representative	ADJ
fcis-31913	113	26	models	model	NOUN
fcis-31913	113	27	such	such	ADJ
fcis-31913	113	28	as	as	ADP
fcis-31913	113	29	rt	rt	NOUN
fcis-31913	113	30	-	-	PUNCT
fcis-31913	113	31	detr	detr	NOUN
fcis-31913	113	32	,	,	PUNCT
fcis-31913	113	33	ssd	ssd	NOUN
fcis-31913	113	34	,	,	PUNCT
fcis-31913	113	35	and	and	CCONJ
fcis-31913	113	36	various	various	ADJ
fcis-31913	113	37	yolo	yolo	ADJ
fcis-31913	113	38	series	series	NOUN
fcis-31913	113	39	models	model	NOUN
fcis-31913	113	40	using	use	VERB
fcis-31913	113	41	the	the	DET
fcis-31913	113	42	same	same	ADJ
fcis-31913	113	43	wood	wood	NOUN
fcis-31913	113	44	surface	surface	NOUN
fcis-31913	113	45	defect	defect	NOUN
fcis-31913	113	46	dataset	dataset	NOUN
fcis-31913	113	47	;	;	PUNCT
fcis-31913	113	48	experimental	experimental	ADJ
fcis-31913	113	49	results	result	NOUN
fcis-31913	113	50	are	be	AUX
fcis-31913	113	51	shown	show	VERB
fcis-31913	113	52	in	in	ADP
fcis-31913	113	53	table	table	NOUN
fcis-31913	113	54	3	3	NUM
fcis-31913	113	55	.	.	PUNCT
fcis-31913	114	1	as	as	SCONJ
fcis-31913	114	2	seen	see	VERB
fcis-31913	114	3	from	from	ADP
fcis-31913	114	4	table	table	NOUN
fcis-31913	114	5	data	datum	NOUN
fcis-31913	114	6	there	there	PRON
fcis-31913	114	7	are	be	VERB
fcis-31913	114	8	significant	significant	ADJ
fcis-31913	114	9	differences	difference	NOUN
fcis-31913	114	10	among	among	ADP
fcis-31913	114	11	different	different	ADJ
fcis-31913	114	12	models	model	NOUN
fcis-31913	114	13	regarding	regard	VERB
fcis-31913	114	14	detection	detection	NOUN
fcis-31913	114	15	accuracy	accuracy	NOUN
fcis-31913	114	16	parameter	parameter	NOUN
fcis-31913	114	17	scale	scale	NOUN
fcis-31913	114	18	and	and	CCONJ
fcis-31913	114	19	inference	inference	NOUN
fcis-31913	114	20	speed	speed	NOUN
fcis-31913	114	21	.	.	PUNCT
fcis-31913	115	1	table	table	NOUN
fcis-31913	115	2	3	3	NUM
fcis-31913	115	3	.	.	PUNCT
fcis-31913	115	4	comparative	comparative	ADJ
fcis-31913	115	5	experimental	experimental	ADJ
fcis-31913	115	6	results	result	NOUN
fcis-31913	115	7	model	model	NOUN
fcis-31913	115	8	precision	precision	NOUN
fcis-31913	115	9	/%	/%	PUNCT
fcis-31913	116	1	p	p	NOUN
fcis-31913	116	2	recall	recall	NOUN
fcis-31913	116	3	rate	rate	NOUN
fcis-31913	116	4	/%	/%	PUNCT
fcis-31913	117	1	r	r	NOUN
fcis-31913	117	2	map50/%	map50/%	NOUN
fcis-31913	117	3	parameters	parameter	NOUN
fcis-31913	117	4	/m	/m	PUNCT
fcis-31913	117	5	fps	fps	PROPN
fcis-31913	117	6	/	/	SYM
fcis-31913	117	7	(	(	PUNCT
fcis-31913	117	8	frame・s⁻¹	frame・s⁻¹	PROPN
fcis-31913	117	9	)	)	PUNCT
fcis-31913	117	10	rt	rt	PROPN
fcis-31913	117	11	-	-	PUNCT
fcis-31913	117	12	detr	detr	NOUN
fcis-31913	117	13	60.8	60.8	NUM
fcis-31913	117	14	58.4	58.4	NUM
fcis-31913	117	15	57.9	57.9	NUM
fcis-31913	117	16	8.7	8.7	NUM
fcis-31913	117	17	10.15	10.15	NUM
fcis-31913	117	18	ssd	ssd	NOUN
fcis-31913	117	19	61.3	61.3	NUM
fcis-31913	117	20	59.9	59.9	NUM
fcis-31913	117	21	58.1	58.1	NUM
fcis-31913	117	22	9.5	9.5	NUM
fcis-31913	117	23	10.28	10.28	NUM
fcis-31913	117	24	yolov3	yolov3	NOUN
fcis-31913	117	25	63.8	63.8	NUM
fcis-31913	117	26	60.5	60.5	NUM
fcis-31913	117	27	59.5	59.5	NUM
fcis-31913	117	28	9.8	9.8	NUM
fcis-31913	117	29	12.05	12.05	NUM
fcis-31913	117	30	yolov5	yolov5	NOUN
fcis-31913	117	31	62.4	62.4	NUM
fcis-31913	117	32	60.1	60.1	NUM
fcis-31913	117	33	58.8	58.8	NUM
fcis-31913	117	34	6.2	6.2	NUM
fcis-31913	117	35	15.00	15.00	NUM
fcis-31913	117	36	yolov6	yolov6	NOUN
fcis-31913	117	37	61.7	61.7	NUM
fcis-31913	117	38	59.8	59.8	NUM
fcis-31913	117	39	59.2	59.2	NUM
fcis-31913	117	40	4.2	4.2	NUM
fcis-31913	117	41	15.58	15.58	NUM
fcis-31913	117	42	yolov7	yolov7	ADV
fcis-31913	117	43	-	-	PUNCT
fcis-31913	117	44	tiny	tiny	ADJ
fcis-31913	117	45	63.4	63.4	NUM
fcis-31913	117	46	60.2	60.2	NUM
fcis-31913	117	47	58.9	58.9	NUM
fcis-31913	117	48	3.9	3.9	NUM
fcis-31913	117	49	15.24	15.24	NUM
fcis-31913	117	50	yolov8	yolov8	NOUN
fcis-31913	117	51	62.9	62.9	NUM
fcis-31913	117	52	60.4	60.4	NUM
fcis-31913	117	53	60.7	60.7	NUM
fcis-31913	117	54	3.1	3.1	NUM
fcis-31913	117	55	12.84	12.84	NUM
fcis-31913	117	56	yolov9	yolov9	NOUN
fcis-31913	117	57	-	-	PUNCT
fcis-31913	117	58	tiny	tiny	ADJ
fcis-31913	117	59	63.5	63.5	NUM
fcis-31913	117	60	58.9	58.9	NUM
fcis-31913	117	61	61.8	61.8	NUM
fcis-31913	117	62	2.8	2.8	NUM
fcis-31913	117	63	14.74	14.74	NUM
fcis-31913	117	64	yolov10	yolov10	NOUN
fcis-31913	117	65	63.2	63.2	NUM
fcis-31913	117	66	59.7	59.7	NUM
fcis-31913	117	67	62.4	62.4	NUM
fcis-31913	117	68	2.9	2.9	NUM
fcis-31913	117	69	19.87	19.87	NUM
fcis-31913	117	70	yolov11	yolov11	NOUN
fcis-31913	117	71	64.9	64.9	NUM
fcis-31913	117	72	61	61	NUM
fcis-31913	117	73	64.3	64.3	NUM
fcis-31913	117	74	2.5	2.5	NUM
fcis-31913	117	75	36.16	36.16	NUM
fcis-31913	117	76	in	in	ADP
fcis-31913	117	77	terms	term	NOUN
fcis-31913	117	78	of	of	ADP
fcis-31913	117	79	accuracy	accuracy	NOUN
fcis-31913	117	80	performance	performance	NOUN
fcis-31913	117	81	yolov11	yolov11	NOUN
fcis-31913	117	82	achieved	achieve	VERB
fcis-31913	117	83	a	a	DET
fcis-31913	117	84	precision	precision	NOUN
fcis-31913	117	85	rate	rate	NOUN
fcis-31913	117	86	of	of	ADP
fcis-31913	117	87	64.9	64.9	NUM
fcis-31913	117	88	%	%	NOUN
fcis-31913	117	89	,	,	PUNCT
fcis-31913	117	90	recall	recall	NOUN
fcis-31913	117	91	rate	rate	NOUN
fcis-31913	117	92	of	of	ADP
fcis-31913	117	93	61	61	NUM
fcis-31913	117	94	%	%	NOUN
fcis-31913	117	95	,	,	PUNCT
fcis-31913	117	96	and	and	CCONJ
fcis-31913	117	97	mean	mean	VERB
fcis-31913	117	98	average	average	ADJ
fcis-31913	117	99	precision	precision	NOUN
fcis-31913	117	100	(	(	PUNCT
fcis-31913	117	101	map50	map50	PROPN
fcis-31913	117	102	)	)	PUNCT
fcis-31913	117	103	reaching	reach	VERB
fcis-31913	117	104	up	up	ADP
fcis-31913	117	105	to64	to64	PROPN
fcis-31913	117	106	.3	.3	NUM
fcis-31913	117	107	%	%	NOUN
fcis-31913	117	108	,	,	PUNCT
fcis-31913	117	109	significantly	significantly	ADV
fcis-31913	117	110	outperforming	outperform	VERB
fcis-31913	117	111	most	most	ADJ
fcis-31913	117	112	models	model	NOUN
fcis-31913	117	113	such	such	ADJ
fcis-31913	117	114	as	as	ADP
fcis-31913	117	115	rt	rt	NOUN
fcis-31913	117	116	-	-	PUNCT
fcis-31913	117	117	detr	detr	NOUN
fcis-31913	117	118	and	and	CCONJ
fcis-31913	117	119	ssd	ssd	NOUN
fcis-31913	117	120	effectively	effectively	ADV
fcis-31913	117	121	enhancing	enhance	VERB
fcis-31913	117	122	recognition	recognition	NOUN
fcis-31913	117	123	completeness	completeness	NOUN
fcis-31913	117	124	and	and	CCONJ
fcis-31913	117	125	accuracy	accuracy	NOUN
fcis-31913	117	126	for	for	ADP
fcis-31913	117	127	wood	wood	NOUN
fcis-31913	117	128	surface	surface	NOUN
fcis-31913	117	129	defects	defect	NOUN
fcis-31913	117	130	while	while	SCONJ
fcis-31913	117	131	reducing	reduce	VERB
fcis-31913	117	132	occurrences	occurrence	NOUN
fcis-31913	117	133	of	of	ADP
fcis-31913	117	134	missed	miss	VERB
fcis-31913	117	135	detections	detection	NOUN
fcis-31913	117	136	and	and	CCONJ
fcis-31913	117	137	false	false	ADJ
fcis-31913	117	138	positives	positive	NOUN
fcis-31913	117	139	.	.	PUNCT
fcis-31913	118	1	regarding	regard	VERB
fcis-31913	118	2	model	model	NOUN
fcis-31913	118	3	lightweighting	lightweighting	PROPN
fcis-31913	118	4	yolov11	yolov11	NOUN
fcis-31913	118	5	has	have	VERB
fcis-31913	118	6	only2	only2	NOUN
fcis-31913	118	7	.5	.5	NUM
fcis-31913	118	8	m	m	NOUN
fcis-31913	118	9	parameters	parameter	NOUN
fcis-31913	118	10	far	far	ADV
fcis-31913	118	11	less	less	ADV
fcis-31913	118	12	than	than	SCONJ
fcis-31913	118	13	rt	rt	PROPN
fcis-31913	118	14	-	-	PUNCT
fcis-31913	118	15	detr’s8	detr’s8	PROPN
fcis-31913	118	16	.7	.7	PROPN
fcis-31913	118	17	m	m	AUX
fcis-31913	118	18	demonstrating	demonstrate	VERB
fcis-31913	118	19	higher	high	ADJ
fcis-31913	118	20	structural	structural	ADJ
fcis-31913	118	21	compactness	compactness	NOUN
fcis-31913	118	22	along	along	ADP
fcis-31913	118	23	with	with	ADP
fcis-31913	118	24	better	well	ADJ
fcis-31913	118	25	computational	computational	ADJ
fcis-31913	118	26	resource	resource	NOUN
fcis-31913	118	27	adaptability	adaptability	NOUN
fcis-31913	118	28	meanwhile	meanwhile	ADV
fcis-31913	118	29	its	its	PRON
fcis-31913	118	30	frames	frame	NOUN
fcis-31913	118	31	per	per	ADP
fcis-31913	118	32	second	second	ADJ
fcis-31913	118	33	(	(	PUNCT
fcis-31913	118	34	fps	fps	PROPN
fcis-31913	118	35	)	)	PUNCT
fcis-31913	118	36	reaches36	reaches36	NOUN
fcis-31913	118	37	.16	.16	NUM
fcis-31913	118	38	frames·s⁻¹	frames·s⁻¹	PROPN
fcis-31913	118	39	showcasing	showcase	VERB
fcis-31913	118	40	notable	notable	ADJ
fcis-31913	118	41	advantages	advantage	NOUN
fcis-31913	118	42	in	in	ADP
fcis-31913	118	43	inference	inference	NOUN
fcis-31913	118	44	speed	speed	NOUN
fcis-31913	118	45	meeting	meet	VERB
fcis-31913	118	46	industrial	industrial	ADJ
fcis-31913	118	47	requirements	requirement	NOUN
fcis-31913	118	48	for	for	ADP
fcis-31913	118	49	online	online	ADJ
fcis-31913	118	50	detection	detection	NOUN
fcis-31913	118	51	and	and	CCONJ
fcis-31913	118	52	real	real	ADJ
fcis-31913	118	53	-	-	PUNCT
fcis-31913	118	54	time	time	NOUN
fcis-31913	118	55	alerts	alert	NOUN
fcis-31913	118	56	.	.	PUNCT
fcis-31913	119	1	in	in	ADP
fcis-31913	119	2	conclusion	conclusion	NOUN
fcis-31913	119	3	,	,	PUNCT
fcis-31913	119	4	yolov11	yolov11	NOUN
fcis-31913	119	5	achieves	achieve	VERB
fcis-31913	119	6	a	a	DET
fcis-31913	119	7	good	good	ADJ
fcis-31913	119	8	balance	balance	NOUN
fcis-31913	119	9	between	between	ADP
fcis-31913	119	10	detection	detection	NOUN
fcis-31913	119	11	accuracy	accuracy	NOUN
fcis-31913	119	12	,	,	PUNCT
fcis-31913	119	13	model	model	NOUN
fcis-31913	119	14	lightweighting	lightweighting	NOUN
fcis-31913	119	15	,	,	PUNCT
fcis-31913	119	16	and	and	CCONJ
fcis-31913	119	17	inference	inference	NOUN
fcis-31913	119	18	efficiency	efficiency	NOUN
fcis-31913	119	19	,	,	PUNCT
fcis-31913	119	20	possessing	possess	VERB
fcis-31913	119	21	theoretical	theoretical	ADJ
fcis-31913	119	22	performance	performance	NOUN
fcis-31913	119	23	advantages	advantage	NOUN
fcis-31913	119	24	while	while	SCONJ
fcis-31913	119	25	also	also	ADV
fcis-31913	119	26	meeting	meet	VERB
fcis-31913	119	27	engineering	engineering	NOUN
fcis-31913	119	28	deployment	deployment	NOUN
fcis-31913	119	29	requirements	requirement	NOUN
fcis-31913	119	30	.	.	PUNCT
fcis-31913	120	1	this	this	DET
fcis-31913	120	2	model	model	NOUN
fcis-31913	120	3	demonstrates	demonstrate	VERB
fcis-31913	120	4	outstanding	outstanding	ADJ
fcis-31913	120	5	comprehensive	comprehensive	ADJ
fcis-31913	120	6	competitiveness	competitiveness	NOUN
fcis-31913	120	7	in	in	ADP
fcis-31913	120	8	wood	wood	NOUN
fcis-31913	120	9	surface	surface	NOUN
fcis-31913	120	10	defect	defect	NOUN
fcis-31913	120	11	detection	detection	NOUN
fcis-31913	120	12	tasks	task	NOUN
fcis-31913	120	13	providing	provide	VERB
fcis-31913	120	14	reliable	reliable	ADJ
fcis-31913	120	15	technical	technical	ADJ
fcis-31913	120	16	support	support	NOUN
fcis-31913	120	17	for	for	ADP
fcis-31913	120	18	building	build	VERB
fcis-31913	120	19	intelligent	intelligent	ADJ
fcis-31913	120	20	detection	detection	NOUN
fcis-31913	120	21	systems	system	NOUN
fcis-31913	120	22	.	.	PUNCT
fcis-31913	121	1	4.5	4.5	NUM
fcis-31913	121	2	.	.	PUNCT
fcis-31913	122	1	ablation	ablation	NOUN
fcis-31913	122	2	experiments	experiment	NOUN
fcis-31913	122	3	to	to	PART
fcis-31913	122	4	systematically	systematically	ADV
fcis-31913	122	5	validate	validate	VERB
fcis-31913	122	6	the	the	DET
fcis-31913	122	7	effectiveness	effectiveness	NOUN
fcis-31913	122	8	of	of	ADP
fcis-31913	122	9	the	the	DET
fcis-31913	122	10	improved	improved	ADJ
fcis-31913	122	11	algorithm	algorithm	NOUN
fcis-31913	122	12	in	in	ADP
fcis-31913	122	13	wood	wood	NOUN
fcis-31913	122	14	surface	surface	NOUN
fcis-31913	122	15	defect	defect	NOUN
fcis-31913	122	16	detection	detection	NOUN
fcis-31913	122	17	tasks	task	NOUN
fcis-31913	122	18	,	,	PUNCT
fcis-31913	122	19	56	56	NUM
fcis-31913	122	20	ablation	ablation	NOUN
fcis-31913	122	21	experiments	experiment	NOUN
fcis-31913	122	22	were	be	AUX
fcis-31913	122	23	designed	design	VERB
fcis-31913	122	24	to	to	PART
fcis-31913	122	25	quantify	quantify	VERB
fcis-31913	122	26	the	the	DET
fcis-31913	122	27	independent	independent	ADJ
fcis-31913	122	28	contributions	contribution	NOUN
fcis-31913	122	29	and	and	CCONJ
fcis-31913	122	30	synergistic	synergistic	ADJ
fcis-31913	122	31	effects	effect	NOUN
fcis-31913	122	32	of	of	ADP
fcis-31913	122	33	each	each	DET
fcis-31913	122	34	improvement	improvement	NOUN
fcis-31913	122	35	module	module	NOUN
fcis-31913	122	36	.	.	PUNCT
fcis-31913	123	1	the	the	DET
fcis-31913	123	2	experiments	experiment	NOUN
fcis-31913	123	3	focused	focus	VERB
fcis-31913	123	4	on	on	ADP
fcis-31913	123	5	typical	typical	ADJ
fcis-31913	123	6	defect	defect	ADJ
fcis-31913	123	7	categories	category	NOUN
fcis-31913	123	8	such	such	ADJ
fcis-31913	123	9	as	as	ADP
fcis-31913	123	10	live	live	ADJ
fcis-31913	123	11	knots	knot	NOUN
fcis-31913	123	12	,	,	PUNCT
fcis-31913	123	13	dead	dead	ADJ
fcis-31913	123	14	knots	knot	NOUN
fcis-31913	123	15	,	,	PUNCT
fcis-31913	123	16	and	and	CCONJ
fcis-31913	123	17	cracks	crack	NOUN
fcis-31913	123	18	,	,	PUNCT
fcis-31913	123	19	employing	employ	VERB
fcis-31913	123	20	a	a	DET
fcis-31913	123	21	stepwise	stepwise	ADJ
fcis-31913	123	22	introduction	introduction	NOUN
fcis-31913	123	23	of	of	ADP
fcis-31913	123	24	improvement	improvement	NOUN
fcis-31913	123	25	modules	module	NOUN
fcis-31913	123	26	to	to	PART
fcis-31913	123	27	construct	construct	VERB
fcis-31913	123	28	multiple	multiple	ADJ
fcis-31913	123	29	comparative	comparative	ADJ
fcis-31913	123	30	models	model	NOUN
fcis-31913	123	31	.	.	PUNCT
fcis-31913	124	1	table	table	NOUN
fcis-31913	124	2	4	4	NUM
fcis-31913	124	3	summarizes	summarize	NOUN
fcis-31913	124	4	the	the	DET
fcis-31913	124	5	experimental	experimental	ADJ
fcis-31913	124	6	results	result	NOUN
fcis-31913	124	7	under	under	ADP
fcis-31913	124	8	different	different	ADJ
fcis-31913	124	9	combinations	combination	NOUN
fcis-31913	124	10	of	of	ADP
fcis-31913	124	11	improvement	improvement	NOUN
fcis-31913	124	12	modules	module	NOUN
fcis-31913	124	13	,	,	PUNCT
fcis-31913	124	14	highlighting	highlight	VERB
fcis-31913	124	15	differences	difference	NOUN
fcis-31913	124	16	in	in	ADP
fcis-31913	124	17	precision	precision	NOUN
fcis-31913	124	18	,	,	PUNCT
fcis-31913	124	19	recall	recall	NOUN
fcis-31913	124	20	,	,	PUNCT
fcis-31913	124	21	mean	mean	ADJ
fcis-31913	124	22	average	average	ADJ
fcis-31913	124	23	precision	precision	NOUN
fcis-31913	124	24	(	(	PUNCT
fcis-31913	124	25	map50	map50	PROPN
fcis-31913	124	26	)	)	PUNCT
fcis-31913	124	27	,	,	PUNCT
fcis-31913	124	28	parameter	parameter	NOUN
fcis-31913	124	29	size	size	NOUN
fcis-31913	124	30	,	,	PUNCT
fcis-31913	124	31	and	and	CCONJ
fcis-31913	124	32	inference	inference	NOUN
fcis-31913	124	33	speed	speed	NOUN
fcis-31913	124	34	among	among	ADP
fcis-31913	124	35	the	the	DET
fcis-31913	124	36	models	model	NOUN
fcis-31913	124	37	,	,	PUNCT
fcis-31913	124	38	clearly	clearly	ADV
fcis-31913	124	39	demonstrating	demonstrate	VERB
fcis-31913	124	40	the	the	DET
fcis-31913	124	41	independent	independent	ADJ
fcis-31913	124	42	contributions	contribution	NOUN
fcis-31913	124	43	and	and	CCONJ
fcis-31913	124	44	synergistic	synergistic	ADJ
fcis-31913	124	45	effects	effect	NOUN
fcis-31913	124	46	of	of	ADP
fcis-31913	124	47	each	each	DET
fcis-31913	124	48	module	module	NOUN
fcis-31913	124	49	.	.	PUNCT
fcis-31913	125	1	the	the	DET
fcis-31913	125	2	baseline	baseline	PROPN
fcis-31913	125	3	model	model	NOUN
fcis-31913	125	4	(	(	PUNCT
fcis-31913	125	5	model	model	NOUN
fcis-31913	125	6	1	1	NUM
fcis-31913	125	7	)	)	PUNCT
fcis-31913	125	8	,	,	PUNCT
fcis-31913	125	9	without	without	ADP
fcis-31913	125	10	any	any	DET
fcis-31913	125	11	improvements	improvement	NOUN
fcis-31913	125	12	,	,	PUNCT
fcis-31913	125	13	exhibited	exhibit	VERB
fcis-31913	125	14	insufficient	insufficient	ADJ
fcis-31913	125	15	feature	feature	NOUN
fcis-31913	125	16	extraction	extraction	NOUN
fcis-31913	125	17	integrity	integrity	NOUN
fcis-31913	125	18	,	,	PUNCT
fcis-31913	125	19	weak	weak	ADJ
fcis-31913	125	20	detail	detail	NOUN
fcis-31913	125	21	retention	retention	NOUN
fcis-31913	125	22	capabilities	capability	NOUN
fcis-31913	125	23	,	,	PUNCT
fcis-31913	125	24	and	and	CCONJ
fcis-31913	125	25	limited	limited	ADJ
fcis-31913	125	26	differentiation	differentiation	NOUN
fcis-31913	125	27	between	between	ADP
fcis-31913	125	28	defects	defect	NOUN
fcis-31913	125	29	and	and	CCONJ
fcis-31913	125	30	wood	wood	NOUN
fcis-31913	125	31	grain	grain	NOUN
fcis-31913	125	32	backgrounds	background	NOUN
fcis-31913	125	33	,	,	PUNCT
fcis-31913	125	34	resulting	result	VERB
fcis-31913	125	35	in	in	ADP
fcis-31913	125	36	low	low	ADJ
fcis-31913	125	37	precision	precision	NOUN
fcis-31913	125	38	and	and	CCONJ
fcis-31913	125	39	recall	recall	NOUN
fcis-31913	125	40	levels	level	NOUN
fcis-31913	125	41	that	that	PRON
fcis-31913	125	42	could	could	AUX
fcis-31913	125	43	not	not	PART
fcis-31913	125	44	meet	meet	VERB
fcis-31913	125	45	high	high	ADJ
fcis-31913	125	46	-	-	PUNCT
fcis-31913	125	47	accuracy	accuracy	NOUN
fcis-31913	125	48	detection	detection	NOUN
fcis-31913	125	49	requirements	requirement	NOUN
fcis-31913	125	50	,	,	PUNCT
fcis-31913	125	51	thereby	thereby	ADV
fcis-31913	125	52	validating	validate	VERB
fcis-31913	125	53	the	the	DET
fcis-31913	125	54	necessity	necessity	NOUN
fcis-31913	125	55	for	for	ADP
fcis-31913	125	56	improvements	improvement	NOUN
fcis-31913	125	57	.	.	PUNCT
fcis-31913	126	1	building	build	VERB
fcis-31913	126	2	upon	upon	SCONJ
fcis-31913	126	3	this	this	DET
fcis-31913	126	4	foundation	foundation	NOUN
fcis-31913	126	5	,	,	PUNCT
fcis-31913	126	6	single	single	ADJ
fcis-31913	126	7	class	class	NOUN
fcis-31913	126	8	improve	improve	NOUN
fcis-31913	126	9	(	(	PUNCT
fcis-31913	126	10	si	si	X
fcis-31913	126	11	)	)	PUNCT
fcis-31913	126	12	was	be	AUX
fcis-31913	126	13	first	first	ADV
fcis-31913	126	14	introduced	introduce	VERB
fcis-31913	126	15	to	to	PART
fcis-31913	126	16	effectively	effectively	ADV
fcis-31913	126	17	alleviate	alleviate	VERB
fcis-31913	126	18	class	class	NOUN
fcis-31913	126	19	imbalance	imbalance	NOUN
fcis-31913	126	20	issues	issue	NOUN
fcis-31913	126	21	by	by	ADP
fcis-31913	126	22	augmenting	augment	VERB
fcis-31913	126	23	data	datum	NOUN
fcis-31913	126	24	specifically	specifically	ADV
fcis-31913	126	25	for	for	ADP
fcis-31913	126	26	categories	category	NOUN
fcis-31913	126	27	with	with	ADP
fcis-31913	126	28	fewer	few	ADJ
fcis-31913	126	29	samples	sample	NOUN
fcis-31913	126	30	.	.	PUNCT
fcis-31913	127	1	although	although	SCONJ
fcis-31913	127	2	si	si	PROPN
fcis-31913	127	3	increased	increase	VERB
fcis-31913	127	4	parameter	parameter	NOUN
fcis-31913	127	5	count	count	NOUN
fcis-31913	127	6	and	and	CCONJ
fcis-31913	127	7	complexity	complexity	NOUN
fcis-31913	127	8	,	,	PUNCT
fcis-31913	127	9	it	it	PRON
fcis-31913	127	10	significantly	significantly	ADV
fcis-31913	127	11	contributed	contribute	VERB
fcis-31913	127	12	to	to	ADP
fcis-31913	127	13	improvements	improvement	NOUN
fcis-31913	127	14	in	in	ADP
fcis-31913	127	15	detection	detection	NOUN
fcis-31913	127	16	accuracy	accuracy	NOUN
fcis-31913	127	17	.	.	PUNCT
fcis-31913	128	1	further	further	ADJ
fcis-31913	128	2	integration	integration	NOUN
fcis-31913	128	3	of	of	ADP
fcis-31913	128	4	the	the	DET
fcis-31913	128	5	c3k2_repvgg	c3k2_repvgg	NOUN
fcis-31913	128	6	module	module	NOUN
fcis-31913	128	7	(	(	PUNCT
fcis-31913	128	8	model	model	NOUN
fcis-31913	128	9	3	3	NUM
fcis-31913	128	10	)	)	PUNCT
fcis-31913	128	11	into	into	ADP
fcis-31913	128	12	the	the	DET
fcis-31913	128	13	model	model	NOUN
fcis-31913	128	14	enhanced	enhance	VERB
fcis-31913	128	15	feature	feature	NOUN
fcis-31913	128	16	expression	expression	NOUN
fcis-31913	128	17	capabilities	capability	NOUN
fcis-31913	128	18	through	through	ADP
fcis-31913	128	19	reparameterization	reparameterization	NOUN
fcis-31913	128	20	structures	structure	NOUN
fcis-31913	128	21	and	and	CCONJ
fcis-31913	128	22	optimized	optimize	VERB
fcis-31913	128	23	feature	feature	NOUN
fcis-31913	128	24	fusion	fusion	NOUN
fcis-31913	128	25	mechanisms	mechanism	NOUN
fcis-31913	128	26	,	,	PUNCT
fcis-31913	128	27	allowing	allow	VERB
fcis-31913	128	28	continuous	continuous	ADJ
fcis-31913	128	29	optimization	optimization	NOUN
fcis-31913	128	30	based	base	VERB
fcis-31913	128	31	on	on	ADP
fcis-31913	128	32	data	datum	NOUN
fcis-31913	128	33	augmentation	augmentation	NOUN
fcis-31913	128	34	and	and	CCONJ
fcis-31913	128	35	validating	validate	VERB
fcis-31913	128	36	the	the	DET
fcis-31913	128	37	synergistic	synergistic	ADJ
fcis-31913	128	38	effects	effect	NOUN
fcis-31913	128	39	between	between	ADP
fcis-31913	128	40	si	si	PROPN
fcis-31913	128	41	and	and	CCONJ
fcis-31913	128	42	c3k2_repvgg	c3k2_repvgg	PROPN
fcis-31913	128	43	.	.	PUNCT
fcis-31913	129	1	the	the	DET
fcis-31913	129	2	addition	addition	NOUN
fcis-31913	129	3	of	of	ADP
fcis-31913	129	4	the	the	DET
fcis-31913	129	5	adown	adown	NOUN
fcis-31913	129	6	module	module	NOUN
fcis-31913	129	7	(	(	PUNCT
fcis-31913	129	8	model	model	NOUN
fcis-31913	129	9	4	4	NUM
fcis-31913	129	10	)	)	PUNCT
fcis-31913	129	11	further	far	ADV
fcis-31913	129	12	improved	improve	VERB
fcis-31913	129	13	detail	detail	NOUN
fcis-31913	129	14	retention	retention	NOUN
fcis-31913	129	15	through	through	ADP
fcis-31913	129	16	an	an	DET
fcis-31913	129	17	adaptive	adaptive	ADJ
fcis-31913	129	18	downsampling	downsampling	NOUN
fcis-31913	129	19	mechanism	mechanism	NOUN
fcis-31913	129	20	,	,	PUNCT
fcis-31913	129	21	significantly	significantly	ADV
fcis-31913	129	22	enhancing	enhance	VERB
fcis-31913	129	23	performance	performance	NOUN
fcis-31913	129	24	especially	especially	ADV
fcis-31913	129	25	for	for	ADP
fcis-31913	129	26	fine	fine	ADV
fcis-31913	129	27	-	-	PUNCT
fcis-31913	129	28	grained	grain	VERB
fcis-31913	129	29	defects	defect	NOUN
fcis-31913	129	30	like	like	ADP
fcis-31913	129	31	small	small	ADJ
fcis-31913	129	32	cracks	crack	NOUN
fcis-31913	129	33	while	while	SCONJ
fcis-31913	129	34	avoiding	avoid	VERB
fcis-31913	129	35	information	information	NOUN
fcis-31913	129	36	loss	loss	NOUN
fcis-31913	129	37	associated	associate	VERB
fcis-31913	129	38	with	with	ADP
fcis-31913	129	39	traditional	traditional	ADJ
fcis-31913	129	40	downsampling	downsampling	NOUN
fcis-31913	129	41	thus	thus	ADV
fcis-31913	129	42	achieving	achieve	VERB
fcis-31913	129	43	a	a	DET
fcis-31913	129	44	balance	balance	NOUN
fcis-31913	129	45	between	between	ADP
fcis-31913	129	46	detection	detection	NOUN
fcis-31913	129	47	accuracy	accuracy	NOUN
fcis-31913	129	48	and	and	CCONJ
fcis-31913	129	49	efficiency	efficiency	NOUN
fcis-31913	129	50	.	.	PUNCT
fcis-31913	130	1	finally	finally	ADV
fcis-31913	130	2	,	,	PUNCT
fcis-31913	130	3	the	the	DET
fcis-31913	130	4	introduction	introduction	NOUN
fcis-31913	130	5	of	of	ADP
fcis-31913	130	6	the	the	DET
fcis-31913	130	7	c2bra	c2bra	NOUN
fcis-31913	130	8	module	module	NOUN
fcis-31913	130	9	(	(	PUNCT
fcis-31913	130	10	model	model	NOUN
fcis-31913	130	11	5	5	NUM
fcis-31913	130	12	)	)	PUNCT
fcis-31913	130	13	strengthened	strengthen	VERB
fcis-31913	130	14	the	the	DET
fcis-31913	130	15	focus	focus	NOUN
fcis-31913	130	16	on	on	ADP
fcis-31913	130	17	defect	defect	ADJ
fcis-31913	130	18	areas	area	NOUN
fcis-31913	130	19	through	through	ADP
fcis-31913	130	20	a	a	DET
fcis-31913	130	21	dual	dual	ADJ
fcis-31913	130	22	-	-	PUNCT
fcis-31913	130	23	layer	layer	NOUN
fcis-31913	130	24	routing	route	VERB
fcis-31913	130	25	attention	attention	NOUN
fcis-31913	130	26	mechanism	mechanism	NOUN
fcis-31913	130	27	significantly	significantly	ADV
fcis-31913	130	28	suppressing	suppress	VERB
fcis-31913	130	29	interference	interference	NOUN
fcis-31913	130	30	from	from	ADP
fcis-31913	130	31	complex	complex	ADJ
fcis-31913	130	32	wood	wood	NOUN
fcis-31913	130	33	grain	grain	NOUN
fcis-31913	130	34	backgrounds	background	NOUN
fcis-31913	130	35	.	.	PUNCT
fcis-31913	131	1	this	this	DET
fcis-31913	131	2	model	model	NOUN
fcis-31913	131	3	achieved	achieve	VERB
fcis-31913	131	4	optimal	optimal	ADJ
fcis-31913	131	5	overall	overall	ADJ
fcis-31913	131	6	performance	performance	NOUN
fcis-31913	131	7	:	:	PUNCT
fcis-31913	131	8	a	a	DET
fcis-31913	131	9	precision	precision	NOUN
fcis-31913	131	10	rate	rate	NOUN
fcis-31913	131	11	of	of	ADP
fcis-31913	131	12	77.7	77.7	NUM
fcis-31913	131	13	%	%	NOUN
fcis-31913	131	14	,	,	PUNCT
fcis-31913	131	15	recall	recall	NOUN
fcis-31913	131	16	rate	rate	NOUN
fcis-31913	131	17	of	of	ADP
fcis-31913	131	18	75.4	75.4	NUM
fcis-31913	131	19	%	%	NOUN
fcis-31913	131	20	,	,	PUNCT
fcis-31913	131	21	map50	map50	PROPN
fcis-31913	131	22	reaching	reach	VERB
fcis-31913	131	23	78	78	NUM
fcis-31913	131	24	%	%	NOUN
fcis-31913	131	25	,	,	PUNCT
fcis-31913	131	26	with	with	ADP
fcis-31913	131	27	parameter	parameter	NOUN
fcis-31913	131	28	size	size	NOUN
fcis-31913	131	29	controlled	control	VERB
fcis-31913	131	30	at	at	ADP
fcis-31913	131	31	2.15	2.15	NUM
fcis-31913	131	32	m	m	NOUN
fcis-31913	131	33	and	and	CCONJ
fcis-31913	131	34	frame	frame	NOUN
fcis-31913	131	35	rate	rate	NOUN
fcis-31913	131	36	recovering	recover	VERB
fcis-31913	131	37	to	to	ADP
fcis-31913	131	38	17.44	17.44	NUM
fcis-31913	131	39	fps	fps	PROPN
fcis-31913	131	40	.	.	PUNCT
fcis-31913	132	1	based	base	VERB
fcis-31913	132	2	on	on	ADP
fcis-31913	132	3	quantitative	quantitative	ADJ
fcis-31913	132	4	result	result	NOUN
fcis-31913	132	5	validation	validation	NOUN
fcis-31913	132	6	,	,	PUNCT
fcis-31913	132	7	further	further	ADJ
fcis-31913	132	8	visual	visual	ADJ
fcis-31913	132	9	analysis	analysis	NOUN
fcis-31913	132	10	was	be	AUX
fcis-31913	132	11	conducted	conduct	VERB
fcis-31913	132	12	to	to	PART
fcis-31913	132	13	assess	assess	VERB
fcis-31913	132	14	each	each	DET
fcis-31913	132	15	module	module	NOUN
fcis-31913	132	16	's	's	PART
fcis-31913	132	17	contribution	contribution	NOUN
fcis-31913	132	18	to	to	ADP
fcis-31913	132	19	detection	detection	NOUN
fcis-31913	132	20	performance	performance	NOUN
fcis-31913	132	21	.	.	PUNCT
fcis-31913	133	1	figure	figure	NOUN
fcis-31913	133	2	7	7	NUM
fcis-31913	133	3	illustrates	illustrate	VERB
fcis-31913	133	4	the	the	DET
fcis-31913	133	5	detection	detection	NOUN
fcis-31913	133	6	performance	performance	NOUN
fcis-31913	133	7	of	of	ADP
fcis-31913	133	8	models	model	NOUN
fcis-31913	133	9	before	before	ADP
fcis-31913	133	10	and	and	CCONJ
fcis-31913	133	11	after	after	ADP
fcis-31913	133	12	improvements	improvement	NOUN
fcis-31913	133	13	on	on	ADP
fcis-31913	133	14	typical	typical	ADJ
fcis-31913	133	15	defects	defect	NOUN
fcis-31913	133	16	such	such	ADJ
fcis-31913	133	17	as	as	ADP
fcis-31913	133	18	dead	dead	ADJ
fcis-31913	133	19	knots	knot	NOUN
fcis-31913	133	20	,	,	PUNCT
fcis-31913	133	21	cracks	crack	NOUN
fcis-31913	133	22	,	,	PUNCT
fcis-31913	133	23	resin	resin	NOUN
fcis-31913	133	24	pockets	pocket	NOUN
fcis-31913	133	25	,	,	PUNCT
fcis-31913	133	26	and	and	CCONJ
fcis-31913	133	27	pith	pith	NOUN
fcis-31913	133	28	;	;	PUNCT
fcis-31913	133	29	this	this	PRON
fcis-31913	133	30	qualitatively	qualitatively	ADV
fcis-31913	133	31	verifies	verify	VERB
fcis-31913	133	32	the	the	DET
fcis-31913	133	33	feature	feature	NOUN
fcis-31913	133	34	enhancement	enhancement	NOUN
fcis-31913	133	35	and	and	CCONJ
fcis-31913	133	36	false	false	ADJ
fcis-31913	133	37	positive	positive	ADJ
fcis-31913	133	38	suppression	suppression	NOUN
fcis-31913	133	39	effects	effect	NOUN
fcis-31913	133	40	of	of	ADP
fcis-31913	133	41	the	the	DET
fcis-31913	133	42	improvement	improvement	NOUN
fcis-31913	133	43	modules	module	NOUN
fcis-31913	133	44	.	.	PUNCT
fcis-31913	134	1	results	result	NOUN
fcis-31913	134	2	indicate	indicate	VERB
fcis-31913	134	3	that	that	SCONJ
fcis-31913	134	4	the	the	DET
fcis-31913	134	5	improved	improved	ADJ
fcis-31913	134	6	model	model	NOUN
fcis-31913	134	7	exhibits	exhibit	VERB
fcis-31913	134	8	more	more	ADV
fcis-31913	134	9	stable	stable	ADJ
fcis-31913	134	10	and	and	CCONJ
fcis-31913	134	11	accurate	accurate	ADJ
fcis-31913	134	12	performance	performance	NOUN
fcis-31913	134	13	on	on	ADP
fcis-31913	134	14	defects	defect	NOUN
fcis-31913	134	15	with	with	ADP
fcis-31913	134	16	fuzzy	fuzzy	ADJ
fcis-31913	134	17	boundaries	boundary	NOUN
fcis-31913	134	18	or	or	CCONJ
fcis-31913	134	19	smaller	small	ADJ
fcis-31913	134	20	sizes	size	NOUN
fcis-31913	134	21	particularly	particularly	ADV
fcis-31913	134	22	showing	show	VERB
fcis-31913	134	23	significant	significant	ADJ
fcis-31913	134	24	reductions	reduction	NOUN
fcis-31913	134	25	in	in	ADP
fcis-31913	134	26	missed	miss	VERB
fcis-31913	134	27	detections	detection	NOUN
fcis-31913	134	28	and	and	CCONJ
fcis-31913	134	29	false	false	ADJ
fcis-31913	134	30	positives	positive	NOUN
fcis-31913	134	31	in	in	ADP
fcis-31913	134	32	scenarios	scenario	NOUN
fcis-31913	134	33	involving	involve	VERB
fcis-31913	134	34	dead	dead	ADJ
fcis-31913	134	35	knots	knot	NOUN
fcis-31913	134	36	accompanied	accompany	VERB
fcis-31913	134	37	by	by	ADP
fcis-31913	134	38	cracks	crack	NOUN
fcis-31913	134	39	or	or	CCONJ
fcis-31913	134	40	knots	knot	NOUN
fcis-31913	134	41	.	.	PUNCT
fcis-31913	135	1	in	in	ADP
fcis-31913	135	2	summary	summary	NOUN
fcis-31913	135	3	:	:	PUNCT
fcis-31913	135	4	si	si	PROPN
fcis-31913	135	5	establishes	establish	VERB
fcis-31913	135	6	data	datum	NOUN
fcis-31913	135	7	foundations	foundation	NOUN
fcis-31913	135	8	;	;	PUNCT
fcis-31913	135	9	c3k2_repvgg	c3k2_repvgg	NOUN
fcis-31913	135	10	enhances	enhance	VERB
fcis-31913	135	11	feature	feature	NOUN
fcis-31913	135	12	representation	representation	NOUN
fcis-31913	135	13	;	;	PUNCT
fcis-31913	135	14	adown	adown	NOUN
fcis-31913	135	15	achieves	achieve	VERB
fcis-31913	135	16	a	a	DET
fcis-31913	135	17	balance	balance	NOUN
fcis-31913	135	18	between	between	ADP
fcis-31913	135	19	detail	detail	NOUN
fcis-31913	135	20	retention	retention	NOUN
fcis-31913	135	21	and	and	CCONJ
fcis-31913	135	22	lightweighting	lightweighting	NOUN
fcis-31913	135	23	;	;	PUNCT
fcis-31913	135	24	c2bra	c2bra	NOUN
fcis-31913	135	25	improves	improve	VERB
fcis-31913	135	26	defect	defect	NOUN
fcis-31913	135	27	-	-	PUNCT
fcis-31913	135	28	background	background	NOUN
fcis-31913	135	29	differentiation	differentiation	NOUN
fcis-31913	135	30	.	.	PUNCT
fcis-31913	136	1	the	the	DET
fcis-31913	136	2	synergistic	synergistic	ADJ
fcis-31913	136	3	effects	effect	NOUN
fcis-31913	136	4	among	among	ADP
fcis-31913	136	5	various	various	ADJ
fcis-31913	136	6	modules	module	NOUN
fcis-31913	136	7	across	across	ADP
fcis-31913	136	8	data	datum	NOUN
fcis-31913	136	9	augmentation	augmentation	NOUN
fcis-31913	136	10	,	,	PUNCT
fcis-31913	136	11	feature	feature	NOUN
fcis-31913	136	12	extraction	extraction	NOUN
fcis-31913	136	13	,	,	PUNCT
fcis-31913	136	14	downsampling	downsample	VERB
fcis-31913	136	15	optimization	optimization	NOUN
fcis-31913	136	16	,	,	PUNCT
fcis-31913	136	17	and	and	CCONJ
fcis-31913	136	18	attention	attention	NOUN
fcis-31913	136	19	mechanisms	mechanism	NOUN
fcis-31913	136	20	ultimately	ultimately	ADV
fcis-31913	136	21	led	lead	VERB
fcis-31913	136	22	to	to	ADP
fcis-31913	136	23	comprehensive	comprehensive	ADJ
fcis-31913	136	24	enhancements	enhancement	NOUN
fcis-31913	136	25	in	in	ADP
fcis-31913	136	26	wood	wood	NOUN
fcis-31913	136	27	surface	surface	NOUN
fcis-31913	136	28	defect	defect	NOUN
fcis-31913	136	29	detection	detection	NOUN
fcis-31913	136	30	performance	performance	NOUN
fcis-31913	136	31	.	.	PUNCT
fcis-31913	137	1	in	in	ADP
fcis-31913	137	2	conclusion	conclusion	NOUN
fcis-31913	137	3	,	,	PUNCT
fcis-31913	137	4	the	the	DET
fcis-31913	137	5	improved	improved	ADJ
fcis-31913	137	6	algorithm	algorithm	NOUN
fcis-31913	137	7	achieves	achieve	VERB
fcis-31913	137	8	comprehensive	comprehensive	ADJ
fcis-31913	137	9	optimization	optimization	NOUN
fcis-31913	137	10	in	in	ADP
fcis-31913	137	11	terms	term	NOUN
fcis-31913	137	12	of	of	ADP
fcis-31913	137	13	accuracy	accuracy	NOUN
fcis-31913	137	14	efficiency	efficiency	NOUN
fcis-31913	137	15	and	and	CCONJ
fcis-31913	137	16	lightweighting	lightweighte	VERB
fcis-31913	137	17	for	for	ADP
fcis-31913	137	18	wood	wood	NOUN
fcis-31913	137	19	defect	defect	NOUN
fcis-31913	137	20	detection	detection	NOUN
fcis-31913	137	21	providing	provide	VERB
fcis-31913	137	22	feasible	feasible	ADJ
fcis-31913	137	23	solutions	solution	NOUN
fcis-31913	137	24	for	for	ADP
fcis-31913	137	25	highprecision	highprecision	NOUN
fcis-31913	137	26	detection	detection	NOUN
fcis-31913	137	27	in	in	ADP
fcis-31913	137	28	intelligent	intelligent	ADJ
fcis-31913	137	29	manufacturing	manufacturing	NOUN
fcis-31913	137	30	and	and	CCONJ
fcis-31913	137	31	industrial	industrial	ADJ
fcis-31913	137	32	quality	quality	NOUN
fcis-31913	137	33	inspection	inspection	NOUN
fcis-31913	137	34	.	.	PUNCT
fcis-31913	138	1	table	table	NOUN
fcis-31913	138	2	4	4	NUM
fcis-31913	138	3	.	.	PUNCT
fcis-31913	138	4	ablation	ablation	NOUN
fcis-31913	138	5	experimental	experimental	ADJ
fcis-31913	138	6	results	result	NOUN
fcis-31913	138	7	model	model	VERB
fcis-31913	138	8	si	si	PROPN
fcis-31913	138	9	c3k2	c3k2	PROPN
fcis-31913	138	10	_	_	PROPN
fcis-31913	138	11	repvgg	repvgg	PROPN
fcis-31913	138	12	adown	adown	PROPN
fcis-31913	138	13	c2bra	c2bra	NOUN
fcis-31913	138	14	precision	precision	NOUN
fcis-31913	138	15	/%	/%	PUNCT
fcis-31913	139	1	recall	recall	PROPN
fcis-31913	139	2	rate	rate	NOUN
fcis-31913	139	3	/%	/%	PUNCT
fcis-31913	140	1	map50	map50	PROPN
fcis-31913	140	2	/%	/%	PUNCT
fcis-31913	141	1	parameters	parameter	NOUN
fcis-31913	141	2	/m	/m	PUNCT
fcis-31913	141	3	fps	fps	PROPN
fcis-31913	141	4	/	/	SYM
fcis-31913	141	5	(	(	PUNCT
fcis-31913	141	6	frame・s⁻¹	frame・s⁻¹	PROPN
fcis-31913	141	7	)	)	PUNCT
fcis-31913	141	8	1	1	NUM
fcis-31913	141	9	64.9	64.9	NUM
fcis-31913	141	10	61	61	NUM
fcis-31913	141	11	64.3	64.3	NUM
fcis-31913	141	12	2.58	2.58	NUM
fcis-31913	141	13	36.16	36.16	NUM
fcis-31913	141	14	2	2	NUM
fcis-31913	141	15	√	√	ADP
fcis-31913	141	16	73.9	73.9	NUM
fcis-31913	141	17	70.8	70.8	NUM
fcis-31913	141	18	74.5	74.5	NUM
fcis-31913	141	19	2.82	2.82	NUM
fcis-31913	141	20	20.17	20.17	NUM
fcis-31913	141	21	3	3	NUM
fcis-31913	141	22	√	√	NUM
fcis-31913	141	23	√	√	NUM
fcis-31913	141	24	74	74	NUM
fcis-31913	141	25	73.7	73.7	NUM
fcis-31913	141	26	75.7	75.7	NUM
fcis-31913	141	27	3.32	3.32	NUM
fcis-31913	141	28	19.85	19.85	NUM
fcis-31913	141	29	4	4	NUM
fcis-31913	141	30	√	√	NOUN
fcis-31913	141	31	√	√	ADP
fcis-31913	141	32	√	√	NUM
fcis-31913	141	33	74.6	74.6	NUM
fcis-31913	141	34	74.4	74.4	NUM
fcis-31913	141	35	77.7	77.7	NUM
fcis-31913	141	36	2.13	2.13	NUM
fcis-31913	141	37	17.16	17.16	NUM
fcis-31913	141	38	5	5	NUM
fcis-31913	141	39	√	√	NUM
fcis-31913	141	40	√	√	PROPN
fcis-31913	141	41	√	√	NUM
fcis-31913	141	42	√	√	NUM
fcis-31913	141	43	77.7	77.7	NUM
fcis-31913	141	44	75.4	75.4	NUM
fcis-31913	141	45	78	78	NUM
fcis-31913	141	46	2.15	2.15	NUM
fcis-31913	141	47	17.44	17.44	NUM
fcis-31913	141	48	5	5	NUM
fcis-31913	141	49	.	.	PUNCT
fcis-31913	141	50	conclusion	conclusion	NOUN
fcis-31913	141	51	to	to	PART
fcis-31913	141	52	address	address	VERB
fcis-31913	141	53	issues	issue	NOUN
fcis-31913	141	54	such	such	ADJ
fcis-31913	141	55	as	as	ADP
fcis-31913	141	56	low	low	ADJ
fcis-31913	141	57	recognition	recognition	NOUN
fcis-31913	141	58	rates	rate	NOUN
fcis-31913	141	59	for	for	ADP
fcis-31913	141	60	small	small	ADJ
fcis-31913	141	61	defects	defect	NOUN
fcis-31913	141	62	and	and	CCONJ
fcis-31913	141	63	strong	strong	ADJ
fcis-31913	141	64	background	background	NOUN
fcis-31913	141	65	interference	interference	NOUN
fcis-31913	141	66	in	in	ADP
fcis-31913	141	67	wood	wood	NOUN
fcis-31913	141	68	defect	defect	NOUN
fcis-31913	141	69	detection	detection	NOUN
fcis-31913	141	70	,	,	PUNCT
fcis-31913	141	71	this	this	DET
fcis-31913	141	72	paper	paper	NOUN
fcis-31913	141	73	proposes	propose	VERB
fcis-31913	141	74	the	the	DET
fcis-31913	141	75	improved	improved	ADJ
fcis-31913	141	76	yolov11rabra	yolov11rabra	NOUN
fcis-31913	141	77	algorithm	algorithm	NOUN
fcis-31913	141	78	.	.	PUNCT
fcis-31913	142	1	in	in	ADP
fcis-31913	142	2	terms	term	NOUN
fcis-31913	142	3	of	of	ADP
fcis-31913	142	4	method	method	NOUN
fcis-31913	142	5	design	design	NOUN
fcis-31913	142	6	,	,	PUNCT
fcis-31913	142	7	the	the	DET
fcis-31913	142	8	first	first	ADJ
fcis-31913	142	9	step	step	NOUN
fcis-31913	142	10	is	be	AUX
fcis-31913	142	11	to	to	PART
fcis-31913	142	12	alleviate	alleviate	VERB
fcis-31913	142	13	class	class	NOUN
fcis-31913	142	14	imbalance	imbalance	NOUN
fcis-31913	142	15	through	through	ADP
fcis-31913	142	16	the	the	DET
fcis-31913	142	17	si	si	NOUN
fcis-31913	142	18	module	module	NOUN
fcis-31913	142	19	,	,	PUNCT
fcis-31913	142	20	enhancing	enhance	VERB
fcis-31913	142	21	the	the	DET
fcis-31913	142	22	learning	learning	NOUN
fcis-31913	142	23	ability	ability	NOUN
fcis-31913	142	24	for	for	ADP
fcis-31913	142	25	low	low	ADJ
fcis-31913	142	26	-	-	PUNCT
fcis-31913	142	27	sample	sample	NOUN
fcis-31913	142	28	defect	defect	NOUN
fcis-31913	142	29	categories	category	NOUN
fcis-31913	142	30	.	.	PUNCT
fcis-31913	143	1	next	next	ADV
fcis-31913	143	2	,	,	PUNCT
fcis-31913	143	3	the	the	DET
fcis-31913	143	4	c3k2_repvgg	c3k2_repvgg	NOUN
fcis-31913	143	5	module	module	NOUN
fcis-31913	143	6	is	be	AUX
fcis-31913	143	7	introduced	introduce	VERB
fcis-31913	143	8	,	,	PUNCT
fcis-31913	143	9	utilizing	utilize	VERB
fcis-31913	143	10	structural	structural	ADJ
fcis-31913	143	11	reparameterization	reparameterization	NOUN
fcis-31913	143	12	to	to	PART
fcis-31913	143	13	strengthen	strengthen	VERB
fcis-31913	143	14	feature	feature	NOUN
fcis-31913	143	15	extraction	extraction	NOUN
fcis-31913	143	16	and	and	CCONJ
fcis-31913	143	17	fusion	fusion	NOUN
fcis-31913	143	18	capabilities	capability	NOUN
fcis-31913	143	19	.	.	PUNCT
fcis-31913	144	1	simultaneously	simultaneously	ADV
fcis-31913	144	2	,	,	PUNCT
fcis-31913	144	3	the	the	DET
fcis-31913	144	4	adown	adown	NOUN
fcis-31913	144	5	adaptive	adaptive	ADJ
fcis-31913	144	6	downsampling	downsample	VERB
fcis-31913	144	7	mechanism	mechanism	NOUN
fcis-31913	144	8	is	be	AUX
fcis-31913	144	9	incorporated	incorporate	VERB
fcis-31913	144	10	to	to	PART
fcis-31913	144	11	effectively	effectively	ADV
fcis-31913	144	12	retain	retain	VERB
fcis-31913	144	13	fine	fine	ADV
fcis-31913	144	14	-	-	PUNCT
fcis-31913	144	15	grained	grain	VERB
fcis-31913	144	16	features	feature	NOUN
fcis-31913	144	17	such	such	ADJ
fcis-31913	144	18	as	as	ADP
fcis-31913	144	19	cracks	crack	NOUN
fcis-31913	144	20	,	,	PUNCT
fcis-31913	144	21	achieving	achieve	VERB
fcis-31913	144	22	a	a	DET
fcis-31913	144	23	balance	balance	NOUN
fcis-31913	144	24	between	between	ADP
fcis-31913	144	25	detection	detection	NOUN
fcis-31913	144	26	accuracy	accuracy	NOUN
fcis-31913	144	27	and	and	CCONJ
fcis-31913	144	28	lightweighting	lightweighting	NOUN
fcis-31913	144	29	.	.	PUNCT
fcis-31913	145	1	finally	finally	ADV
fcis-31913	145	2	,	,	PUNCT
fcis-31913	145	3	the	the	DET
fcis-31913	145	4	c2bra	c2bra	NOUN
fcis-31913	145	5	attention	attention	NOUN
fcis-31913	145	6	mechanism	mechanism	NOUN
fcis-31913	145	7	is	be	AUX
fcis-31913	145	8	employed	employ	VERB
fcis-31913	145	9	to	to	PART
fcis-31913	145	10	enhance	enhance	VERB
fcis-31913	145	11	the	the	DET
fcis-31913	145	12	focus	focus	NOUN
fcis-31913	145	13	on	on	ADP
fcis-31913	145	14	defect	defect	NOUN
fcis-31913	145	15	areas	area	NOUN
fcis-31913	145	16	significantly	significantly	ADV
fcis-31913	145	17	suppressing	suppress	VERB
fcis-31913	145	18	interference	interference	NOUN
fcis-31913	145	19	from	from	ADP
fcis-31913	145	20	complex	complex	ADJ
fcis-31913	145	21	wood	wood	NOUN
fcis-31913	145	22	grain	grain	NOUN
fcis-31913	145	23	backgrounds	background	NOUN
fcis-31913	145	24	,	,	PUNCT
fcis-31913	145	25	thereby	thereby	ADV
fcis-31913	145	26	comprehensively	comprehensively	ADV
fcis-31913	145	27	improving	improve	VERB
fcis-31913	145	28	the	the	DET
fcis-31913	145	29	model	model	NOUN
fcis-31913	145	30	's	's	PART
fcis-31913	145	31	robustness	robustness	NOUN
fcis-31913	145	32	and	and	CCONJ
fcis-31913	145	33	detection	detection	NOUN
fcis-31913	145	34	performance	performance	NOUN
fcis-31913	145	35	.	.	PUNCT
fcis-31913	146	1	experimental	experimental	ADJ
fcis-31913	146	2	results	result	NOUN
fcis-31913	146	3	indicate	indicate	VERB
fcis-31913	146	4	that	that	SCONJ
fcis-31913	146	5	compared	compare	VERB
fcis-31913	146	6	to	to	ADP
fcis-31913	146	7	the	the	DET
fcis-31913	146	8	original	original	ADJ
fcis-31913	146	9	yolov11	yolov11	NOUN
fcis-31913	146	10	,	,	PUNCT
fcis-31913	146	11	yolov11	yolov11	NOUN
fcis-31913	146	12	-	-	PUNCT
fcis-31913	146	13	rabra	rabra	NOUN
fcis-31913	146	14	achieves	achieve	VERB
fcis-31913	146	15	improvements	improvement	NOUN
fcis-31913	146	16	of	of	ADP
fcis-31913	146	17	13.7	13.7	NUM
fcis-31913	146	18	%	%	NOUN
fcis-31913	146	19	,	,	PUNCT
fcis-31913	146	20	12.8	12.8	NUM
fcis-31913	146	21	%	%	NOUN
fcis-31913	146	22	,	,	PUNCT
fcis-31913	146	23	and	and	CCONJ
fcis-31913	146	24	14.4	14.4	NUM
fcis-31913	146	25	%	%	NOUN
fcis-31913	146	26	in	in	ADP
fcis-31913	146	27	map50	map50	PROPN
fcis-31913	146	28	,	,	PUNCT
fcis-31913	146	29	precision	precision	NOUN
fcis-31913	146	30	,	,	PUNCT
fcis-31913	146	31	and	and	CCONJ
fcis-31913	146	32	recall	recall	VERB
fcis-31913	146	33	respectively	respectively	ADV
fcis-31913	146	34	while	while	SCONJ
fcis-31913	146	35	maintaining	maintain	VERB
fcis-31913	146	36	real	real	ADJ
fcis-31913	146	37	-	-	PUNCT
fcis-31913	146	38	time	time	NOUN
fcis-31913	146	39	detection	detection	NOUN
fcis-31913	146	40	capabilities	capability	NOUN
fcis-31913	146	41	,	,	PUNCT
fcis-31913	146	42	validating	validate	VERB
fcis-31913	146	43	the	the	DET
fcis-31913	146	44	independent	independent	ADJ
fcis-31913	146	45	contributions	contribution	NOUN
fcis-31913	146	46	and	and	CCONJ
fcis-31913	146	47	synergistic	synergistic	ADJ
fcis-31913	146	48	effects	effect	NOUN
fcis-31913	146	49	of	of	ADP
fcis-31913	146	50	each	each	DET
fcis-31913	146	51	improvement	improvement	NOUN
fcis-31913	146	52	module	module	NOUN
fcis-31913	146	53	.	.	PUNCT
fcis-31913	147	1	in	in	ADP
fcis-31913	147	2	summary	summary	NOUN
fcis-31913	147	3	,	,	PUNCT
fcis-31913	147	4	yolov11	yolov11	NOUN
fcis-31913	147	5	-	-	PUNCT
fcis-31913	147	6	rabra	rabra	NOUN
fcis-31913	147	7	achieves	achieve	VERB
fcis-31913	147	8	a	a	DET
fcis-31913	147	9	good	good	ADJ
fcis-31913	147	10	balance	balance	NOUN
fcis-31913	147	11	between	between	ADP
fcis-31913	147	12	detection	detection	NOUN
fcis-31913	147	13	accuracy	accuracy	NOUN
fcis-31913	147	14	,	,	PUNCT
fcis-31913	147	15	efficiency	efficiency	NOUN
fcis-31913	147	16	,	,	PUNCT
fcis-31913	147	17	and	and	CCONJ
fcis-31913	147	18	lightweighting	lightweighting	NOUN
fcis-31913	147	19	providing	provide	VERB
fcis-31913	147	20	an	an	DET
fcis-31913	147	21	efficient	efficient	ADJ
fcis-31913	147	22	and	and	CCONJ
fcis-31913	147	23	feasible	feasible	ADJ
fcis-31913	147	24	technical	technical	ADJ
fcis-31913	147	25	pathway	pathway	NOUN
fcis-31913	147	26	for	for	ADP
fcis-31913	147	27	wood	wood	NOUN
fcis-31913	147	28	defect	defect	NOUN
fcis-31913	147	29	detection	detection	NOUN
fcis-31913	147	30	while	while	SCONJ
fcis-31913	147	31	also	also	ADV
fcis-31913	147	32	laying	lay	VERB
fcis-31913	147	33	a	a	DET
fcis-31913	147	34	methodological	methodological	ADJ
fcis-31913	147	35	foundation	foundation	NOUN
fcis-31913	147	36	for	for	ADP
fcis-31913	147	37	high	high	ADJ
fcis-31913	147	38	-	-	PUNCT
fcis-31913	147	39	precision	precision	NOUN
fcis-31913	147	40	57	57	NUM
fcis-31913	147	41	detection	detection	NOUN
fcis-31913	147	42	applications	application	NOUN
fcis-31913	147	43	in	in	ADP
fcis-31913	147	44	intelligent	intelligent	ADJ
fcis-31913	147	45	manufacturing	manufacturing	NOUN
fcis-31913	147	46	and	and	CCONJ
fcis-31913	147	47	industrial	industrial	ADJ
fcis-31913	147	48	quality	quality	NOUN
fcis-31913	147	49	inspection	inspection	NOUN
fcis-31913	147	50	.	.	PUNCT
fcis-31913	148	1	figure	figure	NOUN
fcis-31913	148	2	7	7	NUM
fcis-31913	148	3	.	.	PUNCT
fcis-31913	148	4	visualization	visualization	NOUN
fcis-31913	148	5	results	result	VERB
fcis-31913	148	6	references	reference	NOUN
fcis-31913	148	7	[	[	X
fcis-31913	148	8	1	1	NUM
fcis-31913	148	9	]	]	PUNCT
fcis-31913	148	10	wang	wang	PROPN
fcis-31913	148	11	jun	jun	PROPN
fcis-31913	148	12	-	-	PUNCT
fcis-31913	148	13	dong	dong	PROPN
fcis-31913	148	14	,	,	PUNCT
fcis-31913	148	15	zhao	zhao	PROPN
fcis-31913	148	16	qian	qian	PROPN
fcis-31913	148	17	,	,	PUNCT
fcis-31913	148	18	liu	liu	PROPN
fcis-31913	148	19	ying	ying	PROPN
fcis-31913	148	20	,	,	PUNCT
fcis-31913	148	21	et	et	PROPN
fcis-31913	148	22	al	al	PROPN
fcis-31913	148	23	.	.	PUNCT
fcis-31913	149	1	design	design	NOUN
fcis-31913	149	2	of	of	ADP
fcis-31913	149	3	laser	laser	NOUN
fcis-31913	149	4	scanning	scanning	NOUN
fcis-31913	149	5	and	and	CCONJ
fcis-31913	149	6	detection	detection	NOUN
fcis-31913	149	7	devices	device	NOUN
fcis-31913	149	8	for	for	ADP
fcis-31913	149	9	wood	wood	NOUN
fcis-31913	149	10	surface	surface	NOUN
fcis-31913	149	11	defects	defect	NOUN
fcis-31913	149	12	[	[	X
fcis-31913	149	13	j	j	X
fcis-31913	149	14	]	]	X
fcis-31913	149	15	.	.	PUNCT
fcis-31913	150	1	forestry	forestry	PROPN
fcis-31913	150	2	machinery	machinery	NOUN
fcis-31913	150	3	&	&	CCONJ
fcis-31913	150	4	woodworking	woodworking	NOUN
fcis-31913	150	5	equipment	equipment	NOUN
fcis-31913	150	6	,	,	PUNCT
fcis-31913	150	7	2016	2016	NUM
fcis-31913	150	8	,	,	PUNCT
fcis-31913	150	9	44(11	44(11	NUM
fcis-31913	150	10	):	):	PUNCT
fcis-31913	150	11	24	24	NUM
fcis-31913	150	12	-	-	SYM
fcis-31913	150	13	27	27	NUM
fcis-31913	150	14	.	.	PUNCT
fcis-31913	151	1	[	[	X
fcis-31913	151	2	2	2	NUM
fcis-31913	151	3	]	]	PUNCT
fcis-31913	151	4	shen	shen	PROPN
fcis-31913	151	5	yin	yin	PROPN
fcis-31913	151	6	-	-	PUNCT
fcis-31913	151	7	xi	xi	PROPN
fcis-31913	151	8	,	,	PUNCT
fcis-31913	151	9	liu	liu	PROPN
fcis-31913	151	10	ying	ying	PROPN
fcis-31913	151	11	,	,	PUNCT
fcis-31913	151	12	yang	yang	PROPN
fcis-31913	151	13	yu	yu	PROPN
fcis-31913	151	14	-	-	PROPN
fcis-31913	151	15	tu	tu	PROPN
fcis-31913	151	16	.	.	PROPN
fcis-31913	151	17	surface	surface	PROPN
fcis-31913	151	18	defect	defect	NOUN
fcis-31913	151	19	detection	detection	NOUN
fcis-31913	151	20	of	of	ADP
fcis-31913	151	21	solid	solid	ADJ
fcis-31913	151	22	wood	wood	NOUN
fcis-31913	151	23	board	board	NOUN
fcis-31913	151	24	based	base	VERB
fcis-31913	151	25	on	on	ADP
fcis-31913	151	26	improved	improved	ADJ
fcis-31913	151	27	yolov5	yolov5	NOUN
fcis-31913	151	28	algorithm	algorithm	NOUN
fcis-31913	152	1	[	[	X
fcis-31913	152	2	j	j	X
fcis-31913	152	3	]	]	X
fcis-31913	152	4	.	.	PUNCT
fcis-31913	153	1	forestry	forestry	PROPN
fcis-31913	153	2	machinery	machinery	NOUN
fcis-31913	153	3	&	&	CCONJ
fcis-31913	153	4	woodworking	woodworking	NOUN
fcis-31913	153	5	equipment	equipment	NOUN
fcis-31913	153	6	,	,	PUNCT
fcis-31913	153	7	2024	2024	NUM
fcis-31913	153	8	,	,	PUNCT
fcis-31913	153	9	52(3	52(3	NUM
fcis-31913	153	10	):	):	PUNCT
fcis-31913	153	11	24	24	NUM
fcis-31913	153	12	-	-	SYM
fcis-31913	153	13	29	29	NUM
fcis-31913	153	14	.	.	PUNCT
fcis-31913	154	1	[	[	X
fcis-31913	154	2	3	3	NUM
fcis-31913	154	3	]	]	X
fcis-31913	154	4	zhou	zhou	PROPN
fcis-31913	154	5	zhu	zhu	PROPN
fcis-31913	154	6	,	,	PUNCT
fcis-31913	154	7	yin	yin	PROPN
fcis-31913	154	8	jianxin	jianxin	PROPN
fcis-31913	154	9	,	,	PUNCT
fcis-31913	154	10	zhou	zhou	PROPN
fcis-31913	154	11	suyin	suyin	PROPN
fcis-31913	154	12	,	,	PUNCT
fcis-31913	154	13	zhou	zhou	PROPN
fcis-31913	154	14	houkui	houkui	PROPN
fcis-31913	154	15	.	.	PROPN
fcis-31913	154	16	knot	knot	PROPN
fcis-31913	154	17	detection	detection	NOUN
fcis-31913	154	18	on	on	ADP
fcis-31913	154	19	coniferous	coniferous	ADJ
fcis-31913	154	20	wood	wood	NOUN
fcis-31913	154	21	surfaces	surface	NOUN
fcis-31913	154	22	based	base	VERB
fcis-31913	154	23	on	on	ADP
fcis-31913	154	24	near	near	ADV
fcis-31913	154	25	infrared	infrared	ADJ
fcis-31913	154	26	spectroscopy	spectroscopy	NOUN
fcis-31913	154	27	[	[	X
fcis-31913	154	28	j	j	X
fcis-31913	154	29	]	]	X
fcis-31913	154	30	.	.	PUNCT
fcis-31913	155	1	journal	journal	PROPN
fcis-31913	155	2	of	of	ADP
fcis-31913	155	3	zhejiang	zhejiang	PROPN
fcis-31913	155	4	a&f	a&f	PROPN
fcis-31913	155	5	university	university	PROPN
fcis-31913	155	6	,	,	PUNCT
fcis-31913	155	7	2017	2017	NUM
fcis-31913	155	8	,	,	PUNCT
fcis-31913	155	9	34(3	34(3	NUM
fcis-31913	155	10	):	):	PUNCT
fcis-31913	155	11	520	520	NUM
fcis-31913	155	12	-	-	SYM
fcis-31913	155	13	527	527	NUM
fcis-31913	155	14	.	.	PUNCT
fcis-31913	156	1	[	[	X
fcis-31913	156	2	4	4	X
fcis-31913	156	3	]	]	X
fcis-31913	156	4	qi	qi	PROPN
fcis-31913	156	5	d	d	PROPN
fcis-31913	156	6	w	w	PROPN
fcis-31913	156	7	,	,	PUNCT
fcis-31913	156	8	zhang	zhang	PROPN
fcis-31913	156	9	p	p	PROPN
fcis-31913	156	10	,	,	PUNCT
fcis-31913	156	11	zhang	zhang	PROPN
fcis-31913	156	12	x	x	SYM
fcis-31913	156	13	f	f	X
fcis-31913	156	14	,	,	PUNCT
fcis-31913	156	15	et	et	PROPN
fcis-31913	156	16	al	al	PROPN
fcis-31913	156	17	.	.	PROPN
fcis-31913	156	18	edge	edge	PROPN
fcis-31913	156	19	detection	detection	NOUN
fcis-31913	156	20	of	of	ADP
fcis-31913	156	21	wood	wood	NOUN
fcis-31913	156	22	defects	defect	NOUN
fcis-31913	156	23	in	in	ADP
fcis-31913	156	24	x	x	ADJ
fcis-31913	156	25	-	-	NOUN
fcis-31913	156	26	ray	ray	NOUN
fcis-31913	156	27	wood	wood	NOUN
fcis-31913	156	28	image	image	NOUN
fcis-31913	156	29	using	use	VERB
fcis-31913	156	30	neural	neural	ADJ
fcis-31913	156	31	network	network	NOUN
fcis-31913	156	32	and	and	CCONJ
fcis-31913	156	33	mathematical	mathematical	ADJ
fcis-31913	156	34	morphology	morphology	NOUN
fcis-31913	156	35	[	[	X
fcis-31913	156	36	c]//	c]//	PROPN
fcis-31913	156	37	technical	technical	PROPN
fcis-31913	156	38	committee	committee	PROPN
fcis-31913	156	39	on	on	ADP
fcis-31913	156	40	control	control	PROPN
fcis-31913	156	41	theory	theory	NOUN
fcis-31913	156	42	,	,	PUNCT
fcis-31913	156	43	chinese	chinese	ADJ
fcis-31913	156	44	association	association	NOUN
fcis-31913	156	45	of	of	ADP
fcis-31913	156	46	automation	automation	NOUN
fcis-31913	156	47	.	.	PUNCT
fcis-31913	157	1	proceedings	proceeding	NOUN
fcis-31913	157	2	of	of	ADP
fcis-31913	157	3	the	the	DET
fcis-31913	157	4	29th	29th	ADJ
fcis-31913	157	5	chinese	chinese	ADJ
fcis-31913	157	6	control	control	PROPN
fcis-31913	157	7	conference	conference	PROPN
fcis-31913	157	8	.	.	PUNCT
fcis-31913	158	1	beijing	beijing	PROPN
fcis-31913	158	2	:	:	PUNCT
fcis-31913	159	1	china	china	PROPN
fcis-31913	159	2	machine	machine	PROPN
fcis-31913	159	3	press	press	PROPN
fcis-31913	159	4	,	,	PUNCT
fcis-31913	159	5	2010	2010	NUM
fcis-31913	159	6	:	:	PUNCT
fcis-31913	159	7	2450	2450	NUM
fcis-31913	159	8	-	-	SYM
fcis-31913	159	9	2455	2455	NUM
fcis-31913	159	10	.	.	PUNCT
fcis-31913	160	1	[	[	X
fcis-31913	160	2	5	5	NUM
fcis-31913	160	3	]	]	X
fcis-31913	160	4	li	li	PROPN
fcis-31913	160	5	c	c	PROPN
fcis-31913	160	6	,	,	PUNCT
fcis-31913	160	7	zhang	zhang	PROPN
fcis-31913	160	8	y	y	PROPN
fcis-31913	160	9	,	,	PUNCT
fcis-31913	160	10	tu	tu	PROPN
fcis-31913	160	11	w	w	PROPN
fcis-31913	160	12	,	,	PUNCT
fcis-31913	160	13	et	et	PROPN
fcis-31913	160	14	al	al	PROPN
fcis-31913	160	15	.	.	PROPN
fcis-31913	160	16	soft	soft	ADJ
fcis-31913	160	17	measurement	measurement	NOUN
fcis-31913	160	18	of	of	ADP
fcis-31913	160	19	wood	wood	NOUN
fcis-31913	160	20	defects	defect	NOUN
fcis-31913	160	21	based	base	VERB
fcis-31913	160	22	on	on	ADP
fcis-31913	160	23	lda	lda	PROPN
fcis-31913	160	24	feature	feature	NOUN
fcis-31913	160	25	fusion	fusion	NOUN
fcis-31913	160	26	and	and	CCONJ
fcis-31913	160	27	compressed	compress	VERB
fcis-31913	160	28	sensor	sensor	NOUN
fcis-31913	160	29	images[j	images[j	PROPN
fcis-31913	160	30	]	]	PUNCT
fcis-31913	160	31	.	.	PUNCT
fcis-31913	161	1	journal	journal	PROPN
fcis-31913	161	2	of	of	ADP
fcis-31913	161	3	forestry	forestry	PROPN
fcis-31913	161	4	research	research	NOUN
fcis-31913	161	5	,	,	PUNCT
fcis-31913	161	6	2017	2017	NUM
fcis-31913	161	7	,	,	PUNCT
fcis-31913	161	8	28(6	28(6	NUM
fcis-31913	161	9	):	):	PUNCT
fcis-31913	161	10	1285	1285	NUM
fcis-31913	161	11	-	-	SYM
fcis-31913	161	12	1292	1292	NUM
fcis-31913	161	13	.	.	PUNCT
fcis-31913	162	1	[	[	X
fcis-31913	162	2	6	6	NUM
fcis-31913	162	3	]	]	PUNCT
fcis-31913	162	4	xie	xie	PROPN
fcis-31913	162	5	le	le	PROPN
fcis-31913	162	6	;	;	PUNCT
fcis-31913	162	7	heng	heng	PROPN
fcis-31913	162	8	xi	xi	PROPN
fcis-31913	162	9	-	-	PUNCT
fcis-31913	162	10	dan;liu	dan;liu	PROPN
fcis-31913	162	11	yang;jiang	yang;jiang	PROPN
fcis-31913	162	12	qi	qi	PROPN
fcis-31913	162	13	-	-	PUNCT
fcis-31913	162	14	long;liu	long;liu	PROPN
fcis-31913	162	15	dong	dong	PROPN
fcis-31913	162	16	.	.	PUNCT
fcis-31913	163	1	transformer	transformer	NOUN
fcis-31913	163	2	fault	fault	NOUN
fcis-31913	163	3	diagnosis	diagnosis	NOUN
fcis-31913	163	4	based	base	VERB
fcis-31913	163	5	on	on	ADP
fcis-31913	163	6	linear	linear	PROPN
fcis-31913	163	7	discriminant	discriminant	NOUN
fcis-31913	163	8	analysisand	analysisand	INTJ
fcis-31913	163	9	step	step	NOUN
fcis-31913	163	10	-	-	PUNCT
fcis-31913	163	11	by	by	ADP
fcis-31913	163	12	-	-	PUNCT
fcis-31913	163	13	step	step	NOUN
fcis-31913	163	14	machine	machine	NOUN
fcis-31913	163	15	learning	learn	VERB
fcis-31913	164	1	[	[	X
fcis-31913	164	2	j	j	X
fcis-31913	164	3	]	]	X
fcis-31913	164	4	.	.	PUNCT
fcis-31913	165	1	journal	journal	PROPN
fcis-31913	165	2	of	of	ADP
fcis-31913	165	3	zhejiang	zhejiang	PROPN
fcis-31913	165	4	university	university	PROPN
fcis-31913	165	5	:	:	PUNCT
fcis-31913	165	6	engineering	engineering	NOUN
fcis-31913	165	7	science	science	NOUN
fcis-31913	165	8	,	,	PUNCT
fcis-31913	165	9	2020	2020	NUM
fcis-31913	165	10	,	,	PUNCT
fcis-31913	165	11	54(11	54(11	NUM
fcis-31913	165	12	):	):	PUNCT
fcis-31913	165	13	2266	2266	NUM
fcis-31913	165	14	-	-	SYM
fcis-31913	165	15	2272	2272	NUM
fcis-31913	165	16	.	.	PUNCT
fcis-31913	166	1	[	[	X
fcis-31913	166	2	7	7	X
fcis-31913	166	3	]	]	SYM
fcis-31913	166	4	yuce	yuce	NOUN
fcis-31913	166	5	b	b	NOUN
fcis-31913	166	6	,	,	PUNCT
fcis-31913	166	7	mastrocinque	mastrocinque	ADJ
fcis-31913	166	8	e	e	NOUN
fcis-31913	166	9	,	,	PUNCT
fcis-31913	166	10	packianather	packianather	ADJ
fcis-31913	166	11	m	m	NOUN
fcis-31913	166	12	s	s	PROPN
fcis-31913	166	13	,	,	PUNCT
fcis-31913	166	14	et	et	PROPN
fcis-31913	166	15	al	al	PROPN
fcis-31913	166	16	.	.	PROPN
fcis-31913	166	17	neural	neural	ADJ
fcis-31913	166	18	network	network	NOUN
fcis-31913	166	19	design	design	NOUN
fcis-31913	166	20	and	and	CCONJ
fcis-31913	166	21	feature	feature	NOUN
fcis-31913	166	22	selection	selection	NOUN
fcis-31913	166	23	using	use	VERB
fcis-31913	166	24	principal	principal	ADJ
fcis-31913	166	25	component	component	NOUN
fcis-31913	166	26	analysis	analysis	NOUN
fcis-31913	166	27	and	and	CCONJ
fcis-31913	166	28	taguchi	taguchi	PROPN
fcis-31913	166	29	method	method	NOUN
fcis-31913	166	30	for	for	ADP
fcis-31913	166	31	identifying	identify	VERB
fcis-31913	166	32	wood	wood	NOUN
fcis-31913	166	33	veneer	veneer	NOUN
fcis-31913	166	34	defects[j	defects[j	NOUN
fcis-31913	166	35	]	]	PUNCT
fcis-31913	166	36	.	.	PUNCT
fcis-31913	167	1	production	production	NOUN
fcis-31913	167	2	&	&	CCONJ
fcis-31913	167	3	manufacturing	manufacturing	PROPN
fcis-31913	167	4	research	research	NOUN
fcis-31913	167	5	,	,	PUNCT
fcis-31913	167	6	2014	2014	NUM
fcis-31913	167	7	,	,	PUNCT
fcis-31913	167	8	2(1	2(1	NUM
fcis-31913	167	9	):	):	PUNCT
fcis-31913	167	10	291	291	NUM
fcis-31913	167	11	-	-	SYM
fcis-31913	167	12	308	308	NUM
fcis-31913	167	13	.	.	PUNCT
fcis-31913	168	1	[	[	X
fcis-31913	168	2	8	8	NUM
fcis-31913	168	3	]	]	X
fcis-31913	168	4	luo	luo	PROPN
fcis-31913	168	5	jiancheng	jiancheng	PROPN
fcis-31913	168	6	,	,	PUNCT
fcis-31913	168	7	zhou	zhou	PROPN
fcis-31913	168	8	chenghu	chenghu	PROPN
fcis-31913	168	9	,	,	PUNCT
fcis-31913	168	10	yang	yang	PROPN
fcis-31913	168	11	yan	yan	PROPN
fcis-31913	168	12	.	.	PUNCT
fcis-31913	169	1	ann	ann	PROPN
fcis-31913	169	2	remote	remote	ADJ
fcis-31913	169	3	sensing	sense	VERB
fcis-31913	169	4	classification	classification	NOUN
fcis-31913	169	5	model	model	NOUN
fcis-31913	169	6	and	and	CCONJ
fcis-31913	169	7	its	its	PRON
fcis-31913	169	8	integration	integration	NOUN
fcis-31913	169	9	approach	approach	NOUN
fcis-31913	169	10	with	with	ADP
fcis-31913	169	11	geo	geo	PROPN
fcis-31913	169	12	-	-	PUNCT
fcis-31913	169	13	knowledge	knowledge	NOUN
fcis-31913	170	1	[	[	X
fcis-31913	170	2	j	j	X
fcis-31913	170	3	]	]	X
fcis-31913	170	4	.	.	PUNCT
fcis-31913	171	1	national	national	ADJ
fcis-31913	171	2	remote	remote	ADJ
fcis-31913	171	3	sensing	sense	VERB
fcis-31913	171	4	bulletin	bulletin	NOUN
fcis-31913	171	5	,	,	PUNCT
fcis-31913	171	6	2001	2001	NUM
fcis-31913	171	7	,	,	PUNCT
fcis-31913	171	8	5(2	5(2	NUM
fcis-31913	171	9	):	):	PUNCT
fcis-31913	171	10	122	122	NUM
fcis-31913	171	11	-	-	SYM
fcis-31913	171	12	129	129	NUM
fcis-31913	171	13	.	.	PUNCT
fcis-31913	172	1	[	[	X
fcis-31913	172	2	9	9	NUM
fcis-31913	172	3	]	]	X
fcis-31913	172	4	zhao	zhao	PROPN
fcis-31913	172	5	shuxuan;zhang	shuxuan;zhang	PROPN
fcis-31913	172	6	jie;wang	jie;wang	PROPN
fcis-31913	172	7	junliang;xu	junliang;xu	PROPN
fcis-31913	172	8	chuqiao	chuqiao	PROPN
fcis-31913	172	9	.	.	PROPN
fcis-31913	172	10	fabric	fabric	NOUN
fcis-31913	172	11	defect	defect	NOUN
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fcis-31913	172	13	algorithm	algorithm	NOUN
fcis-31913	172	14	based	base	VERB
fcis-31913	172	15	on	on	ADP
fcis-31913	172	16	two	two	NUM
fcis-31913	172	17	-	-	PUNCT
fcis-31913	172	18	stage	stage	NOUN
fcis-31913	172	19	deep	deep	ADJ
fcis-31913	172	20	transfer	transfer	NOUN
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fcis-31913	172	22	[	[	X
fcis-31913	172	23	j	j	X
fcis-31913	172	24	]	]	X
fcis-31913	172	25	.	.	PUNCT
fcis-31913	173	1	journal	journal	PROPN
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fcis-31913	173	5	,	,	PUNCT
fcis-31913	173	6	2021	2021	NUM
fcis-31913	173	7	,	,	PUNCT
fcis-31913	173	8	57(17	57(17	NUM
fcis-31913	173	9	):	):	PUNCT
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fcis-31913	173	11	-	-	SYM
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fcis-31913	173	13	.	.	PUNCT
fcis-31913	174	1	[	[	X
fcis-31913	174	2	10	10	NUM
fcis-31913	174	3	]	]	X
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fcis-31913	174	11	-	-	PUNCT
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fcis-31913	174	16	algorithms	algorithm	NOUN
fcis-31913	174	17	in	in	ADP
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fcis-31913	175	1	[	[	X
fcis-31913	175	2	j	j	X
fcis-31913	175	3	]	]	X
fcis-31913	175	4	.	.	PUNCT
fcis-31913	176	1	journal	journal	PROPN
fcis-31913	176	2	of	of	ADP
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fcis-31913	176	4	of	of	ADP
fcis-31913	176	5	computer	computer	NOUN
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fcis-31913	176	9	,	,	PUNCT
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fcis-31913	176	11	,	,	PUNCT
fcis-31913	176	12	19(5	19(5	NUM
fcis-31913	176	13	):	):	PUNCT
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fcis-31913	176	15	-	-	SYM
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fcis-31913	176	17	.	.	PUNCT
fcis-31913	177	1	[	[	X
fcis-31913	177	2	11	11	NUM
fcis-31913	177	3	]	]	SYM
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fcis-31913	177	7	yingan	yingan	PROPN
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fcis-31913	177	9	,	,	PUNCT
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fcis-31913	178	1	defects	defect	NOUN
fcis-31913	178	2	recognition	recognition	NOUN
fcis-31913	178	3	based	base	VERB
fcis-31913	178	4	on	on	ADP
fcis-31913	178	5	the	the	DET
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fcis-31913	178	9	[	[	X
fcis-31913	178	10	j	j	X
fcis-31913	178	11	]	]	X
fcis-31913	178	12	.	.	PUNCT
fcis-31913	179	1	journal	journal	PROPN
fcis-31913	179	2	of	of	ADP
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fcis-31913	179	4	university	university	PROPN
fcis-31913	179	5	(	(	PUNCT
fcis-31913	179	6	engineering	engineering	NOUN
fcis-31913	179	7	science	science	NOUN
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fcis-31913	179	9	,	,	PUNCT
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fcis-31913	179	11	,	,	PUNCT
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fcis-31913	179	13	):	):	PUNCT
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fcis-31913	179	15	.	.	PUNCT
fcis-31913	180	1	[	[	X
fcis-31913	180	2	12	12	NUM
fcis-31913	180	3	]	]	PUNCT
fcis-31913	180	4	xia	xia	PROPN
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fcis-31913	180	6	,	,	PUNCT
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fcis-31913	180	9	,	,	PUNCT
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fcis-31913	180	18	surface	surface	NOUN
fcis-31913	180	19	defect	defect	NOUN
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fcis-31913	180	21	algorithm	algorithm	NOUN
fcis-31913	180	22	for	for	ADP
fcis-31913	180	23	plates[j	plates[j	PROPN
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fcis-31913	180	25	.	.	PUNCT
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fcis-31913	181	3	and	and	CCONJ
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fcis-31913	181	5	,	,	PUNCT
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fcis-31913	181	8	1	1	NUM
fcis-31913	181	9	-	-	SYM
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fcis-31913	181	11	.	.	PUNCT
fcis-31913	182	1	[	[	X
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fcis-31913	182	3	]	]	SYM
fcis-31913	182	4	li	li	PROPN
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fcis-31913	182	8	yue	yue	PROPN
fcis-31913	182	9	;	;	PUNCT
fcis-31913	182	10	zhang	zhang	PROPN
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fcis-31913	182	13	.	.	PUNCT
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fcis-31913	183	4	vacuum	vacuum	NOUN
fcis-31913	183	5	contactor	contactor	NOUN
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fcis-31913	183	8	modal	modal	ADJ
fcis-31913	183	9	timefrequency	timefrequency	NOUN
fcis-31913	183	10	diagram	diagram	NOUN
fcis-31913	183	11	and	and	CCONJ
fcis-31913	183	12	resnet50	resnet50	VERB
fcis-31913	184	1	[	[	X
fcis-31913	184	2	j	j	X
fcis-31913	184	3	]	]	X
fcis-31913	184	4	.	.	PUNCT
fcis-31913	185	1	high	high	ADJ
fcis-31913	185	2	voltage	voltage	NOUN
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fcis-31913	185	4	,	,	PUNCT
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fcis-31913	185	6	,	,	PUNCT
fcis-31913	185	7	49(5	49(5	NUM
fcis-31913	185	8	):	):	PUNCT
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fcis-31913	185	10	-	-	SYM
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fcis-31913	185	12	.	.	PUNCT
fcis-31913	186	1	doi:10.13336	doi:10.13336	NOUN
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fcis-31913	186	4	.	.	PUNCT
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fcis-31913	187	2	.	.	PUNCT
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fcis-31913	188	3	]	]	X
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fcis-31913	188	9	;	;	PUNCT
fcis-31913	188	10	diao	diao	PROPN
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fcis-31913	188	12	.	.	PUNCT
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fcis-31913	189	2	-	-	ADJ
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fcis-31913	190	1	[	[	X
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fcis-31913	190	4	.	.	PUNCT
fcis-31913	191	1	journal	journal	PROPN
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fcis-31913	191	6	technology	technology	NOUN
fcis-31913	191	7	,	,	PUNCT
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fcis-31913	191	9	,	,	PUNCT
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fcis-31913	191	11	(	(	PUNCT
fcis-31913	191	12	10	10	NUM
fcis-31913	191	13	):	):	PUNCT
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fcis-31913	191	15	-	-	SYM
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fcis-31913	191	17	.	.	PUNCT
fcis-31913	192	1	[	[	X
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fcis-31913	192	9	,	,	PUNCT
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fcis-31913	192	12	,	,	PUNCT
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fcis-31913	192	23	-	-	PUNCT
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fcis-31913	192	25	-	-	PUNCT
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fcis-31913	193	5	,	,	PUNCT
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fcis-31913	193	7	:	:	SYM
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fcis-31913	193	9	-	-	SYM
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fcis-31913	193	11	.	.	PUNCT
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fcis-31913	194	9	,	,	PUNCT
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fcis-31913	195	1	[	[	X
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fcis-31913	195	3	]	]	X
fcis-31913	195	4	.	.	PUNCT
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fcis-31913	196	7	,	,	PUNCT
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fcis-31913	196	9	,	,	PUNCT
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fcis-31913	196	11	):	):	PUNCT
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fcis-31913	196	13	-	-	SYM
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fcis-31913	196	15	.	.	PUNCT
fcis-31913	197	1	doi:10	doi:10	PROPN
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fcis-31913	198	1	19721/	19721/	NUM
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fcis-31913	198	4	-	-	PROPN
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fcis-31913	199	6	.	.	PUNCT
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fcis-31913	201	1	[	[	X
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fcis-31913	201	3	]	]	X
fcis-31913	201	4	.	.	PUNCT
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fcis-31913	202	8	.	.	PUNCT
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fcis-31913	203	3	]	]	X
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fcis-31913	203	6	;	;	PUNCT
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fcis-31913	203	11	.	.	PUNCT
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fcis-31913	205	1	[	[	X
fcis-31913	205	2	j	j	X
fcis-31913	205	3	]	]	X
fcis-31913	205	4	.	.	PUNCT
fcis-31913	206	1	transducer	transducer	NOUN
fcis-31913	206	2	and	and	CCONJ
fcis-31913	206	3	microsystem	microsystem	NOUN
fcis-31913	206	4	technologies	technology	NOUN
fcis-31913	206	5	,	,	PUNCT
fcis-31913	206	6	2023	2023	NUM
fcis-31913	206	7	,	,	PUNCT
fcis-31913	206	8	42	42	NUM
fcis-31913	206	9	(	(	PUNCT
fcis-31913	206	10	3	3	NUM
fcis-31913	206	11	):	):	PUNCT
fcis-31913	206	12	65	65	NUM
fcis-31913	206	13	-	-	SYM
fcis-31913	206	14	68	68	NUM
fcis-31913	206	15	+	+	NOUN
fcis-31913	206	16	72	72	NUM
fcis-31913	206	17	.	.	PUNCT
fcis-31913	207	1	[	[	X
fcis-31913	207	2	19	19	NUM
fcis-31913	207	3	]	]	X
fcis-31913	207	4	jia	jia	PROPN
fcis-31913	208	1	haonan	haonan	PROPN
fcis-31913	208	2	,	,	PUNCT
fcis-31913	208	3	xu	xu	PROPN
fcis-31913	208	4	huadong	huadong	PROPN
fcis-31913	208	5	,	,	PUNCT
fcis-31913	208	6	wang	wang	PROPN
fcis-31913	208	7	lihai	lihai	PROPN
fcis-31913	208	8	,	,	PUNCT
fcis-31913	208	9	et	et	PROPN
fcis-31913	209	1	al	al	PROPN
fcis-31913	209	2	.	.	PROPN
fcis-31913	209	3	quantitative	quantitative	ADJ
fcis-31913	209	4	identification	identification	NOUN
fcis-31913	209	5	of	of	ADP
fcis-31913	209	6	surface	surface	NOUN
fcis-31913	209	7	defects	defect	NOUN
fcis-31913	209	8	in	in	ADP
fcis-31913	209	9	wood	wood	NOUN
fcis-31913	209	10	paneling	paneling	NOUN
fcis-31913	209	11	based	base	VERB
fcis-31913	209	12	on	on	ADP
fcis-31913	209	13	improved	improved	ADJ
fcis-31913	209	14	yolov5	yolov5	NOUN
fcis-31913	210	1	[	[	X
fcis-31913	210	2	j	j	X
fcis-31913	210	3	]	]	X
fcis-31913	210	4	.	.	PUNCT
fcis-31913	211	1	journal	journal	PROPN
fcis-31913	211	2	of	of	ADP
fcis-31913	211	3	beijing	beijing	PROPN
fcis-31913	211	4	forestry	forestry	PROPN
fcis-31913	211	5	university	university	PROPN
fcis-31913	211	6	,	,	PUNCT
fcis-31913	211	7	2023	2023	NUM
fcis-31913	211	8	,	,	PUNCT
fcis-31913	211	9	45(4	45(4	NUM
fcis-31913	211	10	):	):	PUNCT
fcis-31913	211	11	147	147	NUM
fcis-31913	211	12	-	-	SYM
fcis-31913	211	13	155	155	NUM
fcis-31913	211	14	.	.	PUNCT
fcis-31913	212	1	[	[	X
fcis-31913	212	2	20	20	NUM
fcis-31913	212	3	]	]	PUNCT
fcis-31913	212	4	qiu	qiu	PROPN
fcis-31913	212	5	tianheng;wang	tianheng;wang	PROPN
fcis-31913	212	6	ling;wang	ling;wang	PROPN
fcis-31913	212	7	peng;bai	peng;bai	PROPN
fcis-31913	212	8	yan’e	yan’e	NOUN
fcis-31913	212	9	.	.	PUNCT
fcis-31913	213	1	research	research	NOUN
fcis-31913	213	2	on	on	ADP
fcis-31913	213	3	object	object	NOUN
fcis-31913	213	4	detection	detection	NOUN
fcis-31913	213	5	algorithm	algorithm	NOUN
fcis-31913	213	6	based	base	VERB
fcis-31913	213	7	on	on	ADP
fcis-31913	213	8	improved	improved	ADJ
fcis-31913	213	9	yolov5	yolov5	NOUN
fcis-31913	214	1	[	[	X
fcis-31913	214	2	j	j	X
fcis-31913	214	3	]	]	X
fcis-31913	214	4	.	.	PUNCT
fcis-31913	215	1	computer	computer	NOUN
fcis-31913	215	2	engineering	engineering	NOUN
fcis-31913	215	3	and	and	CCONJ
fcis-31913	215	4	applications	application	NOUN
fcis-31913	215	5	,	,	PUNCT
fcis-31913	215	6	2022	2022	NUM
fcis-31913	215	7	,	,	PUNCT
fcis-31913	215	8	58	58	NUM
fcis-31913	215	9	(	(	PUNCT
fcis-31913	215	10	13	13	NUM
fcis-31913	215	11	):	):	PUNCT
fcis-31913	215	12	63	63	NUM
fcis-31913	215	13	-	-	SYM
fcis-31913	215	14	73	73	NUM
fcis-31913	215	15	.	.	PUNCT
fcis-31913	216	1	[	[	X
fcis-31913	216	2	21	21	NUM
fcis-31913	216	3	]	]	X
fcis-31913	216	4	han	han	PROPN
fcis-31913	216	5	s	s	PROPN
fcis-31913	216	6	,	,	PUNCT
fcis-31913	216	7	jiang	jiang	PROPN
fcis-31913	216	8	x	x	PROPN
fcis-31913	216	9	,	,	PUNCT
fcis-31913	216	10	wu	wu	PROPN
fcis-31913	216	11	z.	z.	PROPN
fcis-31913	217	1	an	an	DET
fcis-31913	217	2	improved	improved	ADJ
fcis-31913	217	3	yolov5	yolov5	NOUN
fcis-31913	217	4	algorithm	algorithm	NOUN
fcis-31913	217	5	for	for	ADP
fcis-31913	217	6	wood	wood	NOUN
fcis-31913	217	7	defect	defect	NOUN
fcis-31913	217	8	detection	detection	NOUN
fcis-31913	217	9	based	base	VERB
fcis-31913	217	10	on	on	ADP
fcis-31913	217	11	attention[j	attention[j	PROPN
fcis-31913	217	12	]	]	PUNCT
fcis-31913	217	13	.	.	PUNCT
fcis-31913	218	1	ieee	ieee	NOUN
fcis-31913	218	2	access	access	NOUN
fcis-31913	218	3	,	,	PUNCT
fcis-31913	218	4	2023	2023	NUM
fcis-31913	218	5	,	,	PUNCT
fcis-31913	218	6	11	11	NUM
fcis-31913	218	7	:	:	SYM
fcis-31913	218	8	71800	71800	NUM
fcis-31913	218	9	-	-	SYM
fcis-31913	218	10	71810	71810	NUM
fcis-31913	218	11	.	.	PUNCT
fcis-31913	219	1	[	[	X
fcis-31913	219	2	22	22	NUM
fcis-31913	219	3	]	]	X
fcis-31913	219	4	zhang	zhang	PROPN
fcis-31913	219	5	zilei	zilei	X
fcis-31913	219	6	.	.	PUNCT
fcis-31913	220	1	research	research	NOUN
fcis-31913	220	2	on	on	ADP
fcis-31913	220	3	defect	defect	NOUN
fcis-31913	220	4	detection	detection	NOUN
fcis-31913	220	5	algorithm	algorithm	NOUN
fcis-31913	220	6	of	of	ADP
fcis-31913	220	7	sawn	sawn	NOUN
fcis-31913	220	8	timber	timber	NOUN
fcis-31913	220	9	based	base	VERB
fcis-31913	220	10	on	on	ADP
fcis-31913	220	11	deep	deep	ADJ
fcis-31913	220	12	learning	learning	NOUN
fcis-31913	221	1	[	[	X
fcis-31913	221	2	d	d	X
fcis-31913	221	3	]	]	X
fcis-31913	221	4	.	.	PUNCT
fcis-31913	222	1	harbin	harbin	PROPN
fcis-31913	222	2	:	:	PUNCT
fcis-31913	222	3	harbin	harbin	PROPN
fcis-31913	222	4	university	university	PROPN
fcis-31913	222	5	of	of	ADP
fcis-31913	222	6	science	science	NOUN
fcis-31913	222	7	and	and	CCONJ
fcis-31913	222	8	technology	technology	NOUN
fcis-31913	222	9	,	,	PUNCT
fcis-31913	222	10	2023	2023	NUM
fcis-31913	222	11	.	.	PUNCT
fcis-31913	223	1	[	[	X
fcis-31913	223	2	23	23	NUM
fcis-31913	223	3	]	]	X
fcis-31913	223	4	geng	geng	PROPN
fcis-31913	223	5	yanli;lin	yanli;lin	PROPN
fcis-31913	223	6	yanbo;fu	yanbo;fu	PROPN
fcis-31913	223	7	yanfang;yang	yanfang;yang	PROPN
fcis-31913	223	8	shucai	shucai	PROPN
fcis-31913	223	9	.	.	PUNCT
fcis-31913	224	1	study	study	NOUN
fcis-31913	224	2	on	on	ADP
fcis-31913	224	3	pigs	pig	NOUN
fcis-31913	224	4	target	target	NOUN
fcis-31913	224	5	detection	detection	NOUN
fcis-31913	224	6	algorithm	algorithm	NOUN
fcis-31913	224	7	based	base	VERB
fcis-31913	224	8	on	on	ADP
fcis-31913	224	9	transformer	transformer	NOUN
fcis-31913	224	10	and	and	CCONJ
fcis-31913	224	11	adaptively	adaptively	ADV
fcis-31913	224	12	spatial	spatial	ADJ
fcis-31913	224	13	feature	feature	NOUN
fcis-31913	224	14	fusion	fusion	NOUN
fcis-31913	225	1	[	[	X
fcis-31913	225	2	j	j	X
fcis-31913	225	3	]	]	X
fcis-31913	225	4	.	.	PUNCT
fcis-31913	226	1	journal	journal	PROPN
fcis-31913	226	2	of	of	ADP
fcis-31913	226	3	northeast	northeast	ADJ
fcis-31913	226	4	agricultural	agricultural	ADJ
fcis-31913	226	5	university	university	NOUN
fcis-31913	226	6	,	,	PUNCT
fcis-31913	226	7	2023	2023	NUM
fcis-31913	226	8	,	,	PUNCT
fcis-31913	226	9	54(1	54(1	NUM
fcis-31913	226	10	):	):	PUNCT
fcis-31913	226	11	88	88	NUM
fcis-31913	226	12	-	-	SYM
fcis-31913	226	13	96	96	NUM
fcis-31913	226	14	.	.	PUNCT
fcis-31913	227	1	[	[	X
fcis-31913	227	2	24	24	NUM
fcis-31913	227	3	]	]	PUNCT
fcis-31913	227	4	yang	yang	PROPN
fcis-31913	227	5	feifan	feifan	PROPN
fcis-31913	227	6	,	,	PUNCT
fcis-31913	227	7	xu	xu	PROPN
fcis-31913	227	8	weicheng	weicheng	PROPN
fcis-31913	227	9	,	,	PUNCT
fcis-31913	227	10	chen	chen	PROPN
fcis-31913	227	11	shengde	shengde	PROPN
fcis-31913	227	12	,	,	PUNCT
fcis-31913	227	13	et	et	NOUN
fcis-31913	227	14	al.rice	al.rice	NOUN
fcis-31913	227	15	disease	disease	NOUN
fcis-31913	227	16	image	image	NOUN
fcis-31913	227	17	classification	classification	NOUN
fcis-31913	227	18	based	base	VERB
fcis-31913	227	19	on	on	ADP
fcis-31913	227	20	1	1	NUM
fcis-31913	227	21	fusion	fusion	NOUN
fcis-31913	227	22	of	of	ADP
fcis-31913	227	23	focal	focal	ADJ
fcis-31913	227	24	loss	loss	NOUN
fcis-31913	227	25	and	and	CCONJ
fcis-31913	227	26	typical	typical	ADJ
fcis-31913	227	27	convolutional	convolutional	ADJ
fcis-31913	227	28	neural	neural	ADJ
fcis-31913	227	29	network	network	NOUN
fcis-31913	227	30	structure	structure	NOUN
fcis-31913	227	31	[	[	X
fcis-31913	227	32	j	j	X
fcis-31913	227	33	]	]	X
fcis-31913	227	34	.	.	PUNCT
fcis-31913	228	1	jiangsu	jiangsu	PROPN
fcis-31913	228	2	agricultural	agricultural	PROPN
fcis-31913	228	3	sciences	sciences	PROPN
fcis-31913	228	4	,	,	PUNCT
fcis-31913	228	5	2023	2023	NUM
fcis-31913	228	6	,	,	PUNCT
fcis-31913	228	7	51(14	51(14	NOUN
fcis-31913	228	8	):	):	PUNCT
fcis-31913	228	9	198	198	NUM
fcis-31913	228	10	-	-	SYM
fcis-31913	228	11	204	204	NUM
fcis-31913	228	12	.	.	PUNCT
fcis-31913	229	1	doi	doi	NOUN
fcis-31913	229	2	:	:	PUNCT
fcis-31913	229	3	10	10	NUM
fcis-31913	229	4	.	.	X
fcis-31913	230	1	15889/	15889/	NUM
fcis-31913	230	2	j.	j.	PROPN
fcis-31913	230	3	issn	issn	PROPN
fcis-31913	230	4	.	.	PROPN
fcis-31913	230	5	1002	1002	NUM
fcis-31913	230	6	-	-	PUNCT
fcis-31913	230	7	1302.2023.14.027	1302.2023.14.027	NUM
fcis-31913	230	8	.	.	PUNCT
fcis-31913	231	1	[	[	X
fcis-31913	231	2	25	25	NUM
fcis-31913	231	3	]	]	X
fcis-31913	231	4	cheng	cheng	PROPN
fcis-31913	231	5	r	r	PROPN
fcis-31913	231	6	j	j	PROPN
fcis-31913	231	7	,	,	PUNCT
fcis-31913	231	8	yang	yang	PROPN
fcis-31913	231	9	y	y	PROPN
fcis-31913	231	10	,	,	PUNCT
fcis-31913	231	11	li	li	PROPN
fcis-31913	231	12	l	l	PROPN
fcis-31913	231	13	w	w	PROPN
fcis-31913	231	14	,	,	PUNCT
fcis-31913	231	15	et	et	PROPN
fcis-31913	231	16	al	al	PROPN
fcis-31913	231	17	.	.	PUNCT
fcis-31913	231	18	lightweight	lightweight	ADJ
fcis-31913	231	19	residual	residual	ADJ
fcis-31913	231	20	network	network	NOUN
fcis-31913	231	21	based	base	VERB
fcis-31913	231	22	on	on	ADP
fcis-31913	231	23	depthwise	depthwise	NOUN
fcis-31913	231	24	separable	separable	ADJ
fcis-31913	231	25	convolution	convolution	NOUN
fcis-31913	231	26	for	for	ADP
fcis-31913	231	27	hyperspectral	hyperspectral	ADJ
fcis-31913	231	28	image	image	NOUN
fcis-31913	231	29	classification	classification	NOUN
fcis-31913	232	1	[	[	X
fcis-31913	232	2	j	j	X
fcis-31913	232	3	]	]	X
fcis-31913	232	4	.	.	PUNCT
fcis-31913	233	1	acta	acta	PROPN
fcis-31913	233	2	optica	optica	PROPN
fcis-31913	233	3	sinica	sinica	PROPN
fcis-31913	233	4	,	,	PUNCT
fcis-31913	233	5	2023	2023	NUM
fcis-31913	233	6	,	,	PUNCT
fcis-31913	233	7	43	43	NUM
fcis-31913	233	8	(	(	PUNCT
fcis-31913	233	9	12	12	NUM
fcis-31913	233	10	):	):	PUNCT
fcis-31913	233	11	311	311	NUM
fcis-31913	233	12	-	-	SYM
fcis-31913	233	13	320	320	NUM
fcis-31913	233	14	.	.	PUNCT