id	sid	tid	token	lemma	pos
ajst-241	1	1	academic	academic	ADJ
ajst-241	1	2	journal	journal	NOUN
ajst-241	1	3	of	of	ADP
ajst-241	1	4	science	science	NOUN
ajst-241	1	5	and	and	CCONJ
ajst-241	1	6	technology	technology	NOUN
ajst-241	1	7	issn	issn	NOUN
ajst-241	1	8	:	:	PUNCT
ajst-241	1	9	2771	2771	NUM
ajst-241	1	10	-	-	SYM
ajst-241	1	11	3032	3032	NUM
ajst-241	1	12	|	|	NOUN
ajst-241	1	13	vol	vol	NOUN
ajst-241	1	14	.	.	PROPN
ajst-241	2	1	1	1	NUM
ajst-241	2	2	,	,	PUNCT
ajst-241	2	3	no	no	INTJ
ajst-241	2	4	.	.	NOUN
ajst-241	2	5	1	1	NUM
ajst-241	2	6	,	,	PUNCT
ajst-241	2	7	2022	2022	NUM
ajst-241	2	8	20	20	NUM
ajst-241	2	9	research	research	NOUN
ajst-241	2	10	on	on	ADP
ajst-241	2	11	detection	detection	NOUN
ajst-241	2	12	algorithm	algorithm	NOUN
ajst-241	2	13	of	of	ADP
ajst-241	2	14	tablet	tablet	NOUN
ajst-241	2	15	surface	surface	NOUN
ajst-241	2	16	defect	defect	NOUN
ajst-241	2	17	based	base	VERB
ajst-241	2	18	on	on	ADP
ajst-241	2	19	yolov3	yolov3	PROPN
ajst-241	2	20	yao	yao	PROPN
ajst-241	2	21	sun	sun	PROPN
ajst-241	2	22	*	*	PROPN
ajst-241	2	23	,	,	PUNCT
ajst-241	2	24	shiquan	shiquan	PROPN
ajst-241	2	25	shao	shao	PROPN
ajst-241	2	26	electrical	electrical	ADJ
ajst-241	2	27	engineering	engineering	NOUN
ajst-241	2	28	,	,	PUNCT
ajst-241	2	29	southwest	southwest	PROPN
ajst-241	2	30	minzu	minzu	PROPN
ajst-241	2	31	university	university	PROPN
ajst-241	2	32	,	,	PUNCT
ajst-241	2	33	chengdu	chengdu	PROPN
ajst-241	2	34	,	,	PUNCT
ajst-241	2	35	sichuan	sichuan	PROPN
ajst-241	2	36	,	,	PUNCT
ajst-241	2	37	610041	610041	NUM
ajst-241	2	38	,	,	PUNCT
ajst-241	2	39	china	china	PROPN
ajst-241	2	40	abstract	abstract	NOUN
ajst-241	2	41	:	:	PUNCT
ajst-241	2	42	tablet	tablet	NOUN
ajst-241	2	43	surface	surface	NOUN
ajst-241	2	44	defect	defect	NOUN
ajst-241	2	45	detection	detection	NOUN
ajst-241	2	46	is	be	AUX
ajst-241	2	47	an	an	DET
ajst-241	2	48	important	important	ADJ
ajst-241	2	49	part	part	NOUN
ajst-241	2	50	of	of	ADP
ajst-241	2	51	tablet	tablet	ADJ
ajst-241	2	52	quality	quality	NOUN
ajst-241	2	53	inspection	inspection	NOUN
ajst-241	2	54	,	,	PUNCT
ajst-241	2	55	and	and	CCONJ
ajst-241	2	56	manual	manual	ADJ
ajst-241	2	57	detection	detection	NOUN
ajst-241	2	58	and	and	CCONJ
ajst-241	2	59	traditional	traditional	ADJ
ajst-241	2	60	pattern	pattern	NOUN
ajst-241	2	61	recognition	recognition	NOUN
ajst-241	2	62	methods	method	NOUN
ajst-241	2	63	are	be	AUX
ajst-241	2	64	difficult	difficult	ADJ
ajst-241	2	65	to	to	PART
ajst-241	2	66	achieve	achieve	VERB
ajst-241	2	67	the	the	DET
ajst-241	2	68	expected	expect	VERB
ajst-241	2	69	results	result	NOUN
ajst-241	2	70	.	.	PUNCT
ajst-241	3	1	in	in	ADP
ajst-241	3	2	this	this	DET
ajst-241	3	3	regard	regard	NOUN
ajst-241	3	4	,	,	PUNCT
ajst-241	3	5	this	this	DET
ajst-241	3	6	paper	paper	NOUN
ajst-241	3	7	proposes	propose	VERB
ajst-241	3	8	a	a	DET
ajst-241	3	9	method	method	NOUN
ajst-241	3	10	for	for	ADP
ajst-241	3	11	detecting	detect	VERB
ajst-241	3	12	tablet	tablet	ADJ
ajst-241	3	13	defects	defect	NOUN
ajst-241	3	14	based	base	VERB
ajst-241	3	15	on	on	ADP
ajst-241	3	16	yolov3	yolov3	PROPN
ajst-241	3	17	,	,	PUNCT
ajst-241	3	18	which	which	PRON
ajst-241	3	19	firstly	firstly	ADV
ajst-241	3	20	uses	use	VERB
ajst-241	3	21	industrial	industrial	ADJ
ajst-241	3	22	cameras	camera	NOUN
ajst-241	3	23	to	to	PART
ajst-241	3	24	complete	complete	VERB
ajst-241	3	25	the	the	DET
ajst-241	3	26	collection	collection	NOUN
ajst-241	3	27	of	of	ADP
ajst-241	3	28	tablet	tablet	ADJ
ajst-241	3	29	defect	defect	NOUN
ajst-241	3	30	images	image	NOUN
ajst-241	3	31	and	and	CCONJ
ajst-241	3	32	creates	create	VERB
ajst-241	3	33	a	a	DET
ajst-241	3	34	data	data	NOUN
ajst-241	3	35	set	set	VERB
ajst-241	3	36	;	;	PUNCT
ajst-241	3	37	then	then	ADV
ajst-241	3	38	uses	use	VERB
ajst-241	3	39	daeknet-53	daeknet-53	PROPN
ajst-241	3	40	as	as	SCONJ
ajst-241	3	41	the	the	DET
ajst-241	3	42	backbone	backbone	NOUN
ajst-241	3	43	network	network	NOUN
ajst-241	3	44	to	to	PART
ajst-241	3	45	initially	initially	ADV
ajst-241	3	46	extract	extract	VERB
ajst-241	3	47	features	feature	NOUN
ajst-241	3	48	;	;	PUNCT
ajst-241	3	49	secondly	secondly	ADV
ajst-241	3	50	,	,	PUNCT
ajst-241	3	51	constructs	construct	VERB
ajst-241	3	52	fpn	fpn	VERB
ajst-241	3	53	feature	feature	NOUN
ajst-241	3	54	pyramid	pyramid	NOUN
ajst-241	3	55	enhancement	enhancement	NOUN
ajst-241	3	56	extraction	extraction	NOUN
ajst-241	3	57	of	of	ADP
ajst-241	3	58	features	feature	NOUN
ajst-241	3	59	;	;	PUNCT
ajst-241	3	60	finally	finally	ADV
ajst-241	3	61	use	use	VERB
ajst-241	3	62	yolo	yolo	ADJ
ajst-241	3	63	-	-	PUNCT
ajst-241	3	64	head	head	NOUN
ajst-241	3	65	to	to	PART
ajst-241	3	66	obtain	obtain	VERB
ajst-241	3	67	prediction	prediction	NOUN
ajst-241	3	68	results	result	NOUN
ajst-241	3	69	;	;	PUNCT
ajst-241	3	70	detection	detection	NOUN
ajst-241	3	71	map	map	NOUN
ajst-241	3	72	reaches	reach	VERB
ajst-241	3	73	92.97	92.97	NUM
ajst-241	3	74	%	%	NOUN
ajst-241	3	75	on	on	ADP
ajst-241	3	76	the	the	DET
ajst-241	3	77	test	test	NOUN
ajst-241	3	78	set	set	NOUN
ajst-241	3	79	of	of	ADP
ajst-241	3	80	the	the	DET
ajst-241	3	81	self	self	NOUN
ajst-241	3	82	-	-	PUNCT
ajst-241	3	83	built	build	VERB
ajst-241	3	84	data	datum	NOUN
ajst-241	3	85	set	set	VERB
ajst-241	3	86	.	.	PUNCT
ajst-241	4	1	the	the	DET
ajst-241	4	2	experimental	experimental	ADJ
ajst-241	4	3	results	result	NOUN
ajst-241	4	4	show	show	VERB
ajst-241	4	5	that	that	SCONJ
ajst-241	4	6	the	the	DET
ajst-241	4	7	method	method	NOUN
ajst-241	4	8	has	have	VERB
ajst-241	4	9	certain	certain	ADJ
ajst-241	4	10	applicability	applicability	NOUN
ajst-241	4	11	and	and	CCONJ
ajst-241	4	12	feasibility	feasibility	NOUN
ajst-241	4	13	.	.	PUNCT
ajst-241	5	1	keywords	keyword	NOUN
ajst-241	5	2	:	:	PUNCT
ajst-241	5	3	yolov3	yolov3	PROPN
ajst-241	5	4	,	,	PUNCT
ajst-241	5	5	target	target	NOUN
ajst-241	5	6	detection	detection	NOUN
ajst-241	5	7	,	,	PUNCT
ajst-241	5	8	tablet	tablet	NOUN
ajst-241	5	9	surface	surface	NOUN
ajst-241	5	10	defect	defect	NOUN
ajst-241	5	11	detection	detection	NOUN
ajst-241	5	12	.	.	PUNCT
ajst-241	6	1	1	1	X
ajst-241	6	2	.	.	X
ajst-241	6	3	introduction	introduction	NOUN
ajst-241	6	4	tablets	tablet	NOUN
ajst-241	6	5	go	go	VERB
ajst-241	6	6	through	through	ADP
ajst-241	6	7	a	a	DET
ajst-241	6	8	series	series	NOUN
ajst-241	6	9	of	of	ADP
ajst-241	6	10	complex	complex	ADJ
ajst-241	6	11	assembly	assembly	NOUN
ajst-241	6	12	line	line	NOUN
ajst-241	6	13	processes	process	NOUN
ajst-241	6	14	from	from	ADP
ajst-241	6	15	production	production	NOUN
ajst-241	6	16	to	to	ADP
ajst-241	6	17	packaging	packaging	NOUN
ajst-241	6	18	,	,	PUNCT
ajst-241	6	19	usually	usually	ADV
ajst-241	6	20	including	include	VERB
ajst-241	6	21	ingredients	ingredient	NOUN
ajst-241	6	22	,	,	PUNCT
ajst-241	6	23	sieving	sieving	NOUN
ajst-241	6	24	,	,	PUNCT
ajst-241	6	25	mixing	mixing	NOUN
ajst-241	6	26	,	,	PUNCT
ajst-241	6	27	granulation	granulation	NOUN
ajst-241	6	28	,	,	PUNCT
ajst-241	6	29	drying	drying	NOUN
ajst-241	6	30	,	,	PUNCT
ajst-241	6	31	whole	whole	ADJ
ajst-241	6	32	granulation	granulation	NOUN
ajst-241	6	33	,	,	PUNCT
ajst-241	6	34	total	total	ADJ
ajst-241	6	35	mixing	mixing	NOUN
ajst-241	6	36	,	,	PUNCT
ajst-241	6	37	tableting	tableting	NOUN
ajst-241	6	38	,	,	PUNCT
ajst-241	6	39	coating	coating	NOUN
ajst-241	6	40	,	,	PUNCT
ajst-241	6	41	packaging	packaging	NOUN
ajst-241	6	42	and	and	CCONJ
ajst-241	6	43	other	other	ADJ
ajst-241	6	44	steps	step	NOUN
ajst-241	6	45	[	[	X
ajst-241	6	46	1	1	NUM
ajst-241	6	47	]	]	PUNCT
ajst-241	6	48	.	.	PUNCT
ajst-241	7	1	in	in	ADP
ajst-241	7	2	the	the	DET
ajst-241	7	3	entire	entire	ADJ
ajst-241	7	4	production	production	NOUN
ajst-241	7	5	line	line	NOUN
ajst-241	7	6	,	,	PUNCT
ajst-241	7	7	it	it	PRON
ajst-241	7	8	is	be	AUX
ajst-241	7	9	inevitable	inevitable	ADJ
ajst-241	7	10	that	that	SCONJ
ajst-241	7	11	there	there	PRON
ajst-241	7	12	will	will	AUX
ajst-241	7	13	be	be	AUX
ajst-241	7	14	tablet	tablet	NOUN
ajst-241	7	15	defects	defect	NOUN
ajst-241	7	16	,	,	PUNCT
ajst-241	7	17	impurities	impurity	NOUN
ajst-241	7	18	and	and	CCONJ
ajst-241	7	19	foreign	foreign	ADJ
ajst-241	7	20	matter	matter	NOUN
ajst-241	7	21	mixed	mixed	ADJ
ajst-241	7	22	into	into	ADP
ajst-241	7	23	it	it	PRON
ajst-241	7	24	,	,	PUNCT
ajst-241	7	25	etc	etc	X
ajst-241	7	26	.	.	X
ajst-241	7	27	,	,	PUNCT
ajst-241	7	28	which	which	PRON
ajst-241	7	29	will	will	AUX
ajst-241	7	30	affect	affect	VERB
ajst-241	7	31	the	the	DET
ajst-241	7	32	quality	quality	NOUN
ajst-241	7	33	of	of	ADP
ajst-241	7	34	drugs	drug	NOUN
ajst-241	7	35	and	and	CCONJ
ajst-241	7	36	lead	lead	VERB
ajst-241	7	37	to	to	ADP
ajst-241	7	38	increased	increase	VERB
ajst-241	7	39	production	production	NOUN
ajst-241	7	40	costs	cost	NOUN
ajst-241	7	41	.	.	PUNCT
ajst-241	8	1	at	at	ADP
ajst-241	8	2	present	present	ADJ
ajst-241	8	3	,	,	PUNCT
ajst-241	8	4	the	the	DET
ajst-241	8	5	detection	detection	NOUN
ajst-241	8	6	of	of	ADP
ajst-241	8	7	surface	surface	NOUN
ajst-241	8	8	defects	defect	NOUN
ajst-241	8	9	of	of	ADP
ajst-241	8	10	tablets	tablet	NOUN
ajst-241	8	11	in	in	ADP
ajst-241	8	12	my	my	PRON
ajst-241	8	13	country	country	NOUN
ajst-241	8	14	is	be	AUX
ajst-241	8	15	mainly	mainly	ADV
ajst-241	8	16	divided	divide	VERB
ajst-241	8	17	into	into	ADP
ajst-241	8	18	manual	manual	ADJ
ajst-241	8	19	detection	detection	NOUN
ajst-241	8	20	and	and	CCONJ
ajst-241	8	21	traditional	traditional	ADJ
ajst-241	8	22	machine	machine	NOUN
ajst-241	8	23	vision	vision	NOUN
ajst-241	8	24	detection	detection	NOUN
ajst-241	8	25	.	.	PUNCT
ajst-241	9	1	manual	manual	ADJ
ajst-241	9	2	detection	detection	NOUN
ajst-241	9	3	often	often	ADV
ajst-241	9	4	leads	lead	VERB
ajst-241	9	5	to	to	ADP
ajst-241	9	6	eye	eye	NOUN
ajst-241	9	7	fatigue	fatigue	NOUN
ajst-241	9	8	due	due	ADP
ajst-241	9	9	to	to	ADP
ajst-241	9	10	long	long	ADJ
ajst-241	9	11	-	-	PUNCT
ajst-241	9	12	term	term	NOUN
ajst-241	9	13	work	work	NOUN
ajst-241	9	14	in	in	ADP
ajst-241	9	15	this	this	DET
ajst-241	9	16	method	method	NOUN
ajst-241	9	17	,	,	PUNCT
ajst-241	9	18	the	the	DET
ajst-241	9	19	detection	detection	NOUN
ajst-241	9	20	accuracy	accuracy	NOUN
ajst-241	9	21	is	be	AUX
ajst-241	9	22	reduced	reduce	VERB
ajst-241	9	23	,	,	PUNCT
ajst-241	9	24	and	and	CCONJ
ajst-241	9	25	manual	manual	ADJ
ajst-241	9	26	removal	removal	NOUN
ajst-241	9	27	is	be	AUX
ajst-241	9	28	laborintensive	laborintensive	ADJ
ajst-241	9	29	,	,	PUNCT
ajst-241	9	30	low	low	ADJ
ajst-241	9	31	-	-	PUNCT
ajst-241	9	32	efficiency	efficiency	NOUN
ajst-241	9	33	,	,	PUNCT
ajst-241	9	34	and	and	CCONJ
ajst-241	9	35	prone	prone	ADJ
ajst-241	9	36	to	to	ADP
ajst-241	9	37	false	false	ADJ
ajst-241	9	38	detection	detection	NOUN
ajst-241	9	39	and	and	CCONJ
ajst-241	9	40	missed	miss	VERB
ajst-241	9	41	detection	detection	NOUN
ajst-241	10	1	[	[	X
ajst-241	10	2	2	2	NUM
ajst-241	10	3	]	]	PUNCT
ajst-241	10	4	;	;	PUNCT
ajst-241	10	5	traditional	traditional	ADJ
ajst-241	10	6	machine	machine	NOUN
ajst-241	10	7	vision	vision	NOUN
ajst-241	10	8	the	the	DET
ajst-241	10	9	extraction	extraction	NOUN
ajst-241	10	10	effect	effect	NOUN
ajst-241	10	11	of	of	ADP
ajst-241	10	12	the	the	DET
ajst-241	10	13	technology	technology	NOUN
ajst-241	10	14	on	on	ADP
ajst-241	10	15	the	the	DET
ajst-241	10	16	feature	feature	NOUN
ajst-241	10	17	is	be	AUX
ajst-241	10	18	difficult	difficult	ADJ
ajst-241	10	19	to	to	PART
ajst-241	10	20	achieve	achieve	VERB
ajst-241	10	21	the	the	DET
ajst-241	10	22	expected	expect	VERB
ajst-241	10	23	effect	effect	NOUN
ajst-241	10	24	,	,	PUNCT
ajst-241	10	25	and	and	CCONJ
ajst-241	10	26	this	this	DET
ajst-241	10	27	method	method	NOUN
ajst-241	10	28	relies	rely	VERB
ajst-241	10	29	on	on	ADP
ajst-241	10	30	the	the	DET
ajst-241	10	31	manual	manual	ADJ
ajst-241	10	32	setting	setting	NOUN
ajst-241	10	33	of	of	ADP
ajst-241	10	34	the	the	DET
ajst-241	10	35	discriminant	discriminant	NOUN
ajst-241	10	36	threshold	threshold	NOUN
ajst-241	10	37	,	,	PUNCT
ajst-241	10	38	or	or	CCONJ
ajst-241	10	39	on	on	ADP
ajst-241	10	40	the	the	DET
ajst-241	10	41	manual	manual	ADJ
ajst-241	10	42	selection	selection	NOUN
ajst-241	10	43	of	of	ADP
ajst-241	10	44	pattern	pattern	NOUN
ajst-241	10	45	features	feature	NOUN
ajst-241	10	46	.	.	PUNCT
ajst-241	11	1	either	either	DET
ajst-241	11	2	way	way	NOUN
ajst-241	11	3	,	,	PUNCT
ajst-241	11	4	operators	operator	NOUN
ajst-241	11	5	are	be	AUX
ajst-241	11	6	required	require	VERB
ajst-241	11	7	to	to	PART
ajst-241	11	8	have	have	VERB
ajst-241	11	9	rich	rich	ADJ
ajst-241	11	10	professional	professional	ADJ
ajst-241	11	11	knowledge	knowledge	NOUN
ajst-241	11	12	,	,	PUNCT
ajst-241	11	13	which	which	PRON
ajst-241	11	14	is	be	AUX
ajst-241	11	15	more	more	ADV
ajst-241	11	16	professional	professional	ADJ
ajst-241	11	17	for	for	ADP
ajst-241	11	18	production	production	NOUN
ajst-241	11	19	practitioners	practitioner	NOUN
ajst-241	11	20	.	.	PUNCT
ajst-241	12	1	with	with	ADP
ajst-241	12	2	the	the	DET
ajst-241	12	3	development	development	NOUN
ajst-241	12	4	of	of	ADP
ajst-241	12	5	deep	deep	ADJ
ajst-241	12	6	learning	learning	NOUN
ajst-241	12	7	[	[	X
ajst-241	12	8	3	3	X
ajst-241	12	9	]	]	PUNCT
ajst-241	12	10	in	in	ADP
ajst-241	12	11	recent	recent	ADJ
ajst-241	12	12	years	year	NOUN
ajst-241	12	13	,	,	PUNCT
ajst-241	12	14	object	object	NOUN
ajst-241	12	15	detection	detection	NOUN
ajst-241	12	16	technology	technology	NOUN
ajst-241	12	17	has	have	AUX
ajst-241	12	18	been	be	AUX
ajst-241	12	19	widely	widely	ADV
ajst-241	12	20	used	use	VERB
ajst-241	12	21	in	in	ADP
ajst-241	12	22	various	various	ADJ
ajst-241	12	23	fields	field	NOUN
ajst-241	12	24	.	.	PUNCT
ajst-241	13	1	deep	deep	ADJ
ajst-241	13	2	learning	learning	NOUN
ajst-241	13	3	detection	detection	NOUN
ajst-241	13	4	algorithms	algorithm	NOUN
ajst-241	13	5	are	be	AUX
ajst-241	13	6	mainly	mainly	ADV
ajst-241	13	7	divided	divide	VERB
ajst-241	13	8	into	into	ADP
ajst-241	13	9	two	two	NUM
ajst-241	13	10	categories	category	NOUN
ajst-241	13	11	in	in	ADP
ajst-241	13	12	terms	term	NOUN
ajst-241	13	13	of	of	ADP
ajst-241	13	14	ideas	idea	NOUN
ajst-241	13	15	:	:	PUNCT
ajst-241	13	16	one	one	NUM
ajst-241	13	17	is	be	AUX
ajst-241	13	18	the	the	DET
ajst-241	13	19	two	two	NUM
ajst-241	13	20	-	-	PUNCT
ajst-241	13	21	stage	stage	NOUN
ajst-241	13	22	method	method	NOUN
ajst-241	13	23	,	,	PUNCT
ajst-241	13	24	also	also	ADV
ajst-241	13	25	known	know	VERB
ajst-241	13	26	as	as	ADP
ajst-241	13	27	the	the	DET
ajst-241	13	28	region	region	NOUN
ajst-241	13	29	-	-	PUNCT
ajst-241	13	30	based	base	VERB
ajst-241	13	31	target	target	NOUN
ajst-241	13	32	detection	detection	NOUN
ajst-241	13	33	algorithm	algorithm	NOUN
ajst-241	13	34	.	.	PUNCT
ajst-241	14	1	this	this	DET
ajst-241	14	2	type	type	NOUN
ajst-241	14	3	of	of	ADP
ajst-241	14	4	method	method	NOUN
ajst-241	14	5	divides	divide	VERB
ajst-241	14	6	target	target	VERB
ajst-241	14	7	detection	detection	NOUN
ajst-241	14	8	into	into	ADP
ajst-241	14	9	two	two	NUM
ajst-241	14	10	parts	part	NOUN
ajst-241	14	11	:	:	PUNCT
ajst-241	14	12	generating	generate	VERB
ajst-241	14	13	candidate	candidate	NOUN
ajst-241	14	14	frames	frame	NOUN
ajst-241	14	15	and	and	CCONJ
ajst-241	14	16	identifying	identify	VERB
ajst-241	14	17	target	target	NOUN
ajst-241	14	18	categories	category	NOUN
ajst-241	14	19	,	,	PUNCT
ajst-241	14	20	such	such	ADJ
ajst-241	14	21	as	as	ADP
ajst-241	14	22	mask	mask	NOUN
ajst-241	14	23	r	r	NOUN
ajst-241	14	24	-	-	PUNCT
ajst-241	14	25	cnn[4	cnn[4	NOUN
ajst-241	14	26	]	]	PUNCT
ajst-241	14	27	,	,	PUNCT
ajst-241	14	28	faster	fast	ADJ
ajst-241	14	29	r	r	NOUN
ajst-241	14	30	-	-	PUNCT
ajst-241	14	31	cnn[5	cnn[5	NUM
ajst-241	14	32	]	]	PUNCT
ajst-241	14	33	and	and	CCONJ
ajst-241	14	34	other	other	ADJ
ajst-241	14	35	algorithms	algorithm	NOUN
ajst-241	14	36	,	,	PUNCT
ajst-241	14	37	the	the	DET
ajst-241	14	38	advantage	advantage	NOUN
ajst-241	14	39	is	be	AUX
ajst-241	14	40	that	that	SCONJ
ajst-241	14	41	the	the	DET
ajst-241	14	42	detection	detection	NOUN
ajst-241	14	43	accuracy	accuracy	NOUN
ajst-241	14	44	is	be	AUX
ajst-241	14	45	high	high	ADJ
ajst-241	14	46	.	.	PUNCT
ajst-241	15	1	the	the	DET
ajst-241	15	2	other	other	ADJ
ajst-241	15	3	is	be	AUX
ajst-241	15	4	the	the	DET
ajst-241	15	5	one	one	NUM
ajst-241	15	6	-	-	PUNCT
ajst-241	15	7	stage	stage	NOUN
ajst-241	15	8	method	method	NOUN
ajst-241	15	9	,	,	PUNCT
ajst-241	15	10	which	which	PRON
ajst-241	15	11	directly	directly	ADV
ajst-241	15	12	predicts	predict	VERB
ajst-241	15	13	the	the	DET
ajst-241	15	14	category	category	NOUN
ajst-241	15	15	of	of	ADP
ajst-241	15	16	the	the	DET
ajst-241	15	17	object	object	NOUN
ajst-241	15	18	from	from	ADP
ajst-241	15	19	the	the	DET
ajst-241	15	20	picture	picture	NOUN
ajst-241	15	21	,	,	PUNCT
ajst-241	15	22	such	such	ADJ
ajst-241	15	23	as	as	ADP
ajst-241	15	24	yolo[6	yolo[6	NOUN
ajst-241	15	25	]	]	PUNCT
ajst-241	15	26	,	,	PUNCT
ajst-241	15	27	ssd[7	ssd[7	PROPN
ajst-241	15	28	]	]	PUNCT
ajst-241	15	29	and	and	CCONJ
ajst-241	15	30	other	other	ADJ
ajst-241	15	31	algorithms	algorithm	NOUN
ajst-241	15	32	,	,	PUNCT
ajst-241	15	33	the	the	DET
ajst-241	15	34	advantage	advantage	NOUN
ajst-241	15	35	is	be	AUX
ajst-241	15	36	that	that	SCONJ
ajst-241	15	37	the	the	DET
ajst-241	15	38	detection	detection	NOUN
ajst-241	15	39	speed	speed	NOUN
ajst-241	15	40	is	be	AUX
ajst-241	15	41	faster	fast	ADJ
ajst-241	15	42	.	.	PUNCT
ajst-241	16	1	in	in	ADP
ajst-241	16	2	this	this	DET
ajst-241	16	3	paper	paper	NOUN
ajst-241	16	4	,	,	PUNCT
ajst-241	16	5	the	the	DET
ajst-241	16	6	yolov3	yolov3	PROPN
ajst-241	16	7	algorithm	algorithm	PROPN
ajst-241	16	8	with	with	ADP
ajst-241	16	9	balanced	balanced	ADJ
ajst-241	16	10	accuracy	accuracy	NOUN
ajst-241	16	11	and	and	CCONJ
ajst-241	16	12	real	real	ADJ
ajst-241	16	13	-	-	PUNCT
ajst-241	16	14	time	time	NOUN
ajst-241	16	15	performance	performance	NOUN
ajst-241	16	16	is	be	AUX
ajst-241	16	17	used	use	VERB
ajst-241	16	18	to	to	PART
ajst-241	16	19	detect	detect	VERB
ajst-241	16	20	tablet	tablet	ADJ
ajst-241	16	21	defects	defect	NOUN
ajst-241	16	22	,	,	PUNCT
ajst-241	16	23	and	and	CCONJ
ajst-241	16	24	the	the	DET
ajst-241	16	25	trained	train	VERB
ajst-241	16	26	model	model	NOUN
ajst-241	16	27	is	be	AUX
ajst-241	16	28	tested	test	VERB
ajst-241	16	29	using	use	VERB
ajst-241	16	30	the	the	DET
ajst-241	16	31	test	test	NOUN
ajst-241	16	32	set	set	NOUN
ajst-241	16	33	,	,	PUNCT
ajst-241	16	34	which	which	PRON
ajst-241	16	35	has	have	VERB
ajst-241	16	36	high	high	ADJ
ajst-241	16	37	accuracy	accuracy	NOUN
ajst-241	16	38	.	.	PUNCT
ajst-241	17	1	2	2	X
ajst-241	17	2	.	.	X
ajst-241	17	3	yolov3	yolov3	PROPN
ajst-241	17	4	algorithm	algorithm	PROPN
ajst-241	17	5	yolov3[8	yolov3[8	PROPN
ajst-241	17	6	]	]	PUNCT
ajst-241	17	7	is	be	AUX
ajst-241	17	8	the	the	DET
ajst-241	17	9	third	third	ADJ
ajst-241	17	10	generation	generation	NOUN
ajst-241	17	11	of	of	ADP
ajst-241	17	12	the	the	DET
ajst-241	17	13	yolo	yolo	ADJ
ajst-241	17	14	series	series	NOUN
ajst-241	17	15	of	of	ADP
ajst-241	17	16	algorithms	algorithms	PROPN
ajst-241	17	17	.	.	PUNCT
ajst-241	18	1	compared	compare	VERB
ajst-241	18	2	with	with	ADP
ajst-241	18	3	yolov1	yolov1	NOUN
ajst-241	18	4	and	and	CCONJ
ajst-241	18	5	yolov3	yolov3	PROPN
ajst-241	18	6	,	,	PUNCT
ajst-241	18	7	the	the	DET
ajst-241	18	8	detection	detection	NOUN
ajst-241	18	9	accuracy	accuracy	NOUN
ajst-241	18	10	and	and	CCONJ
ajst-241	18	11	speed	speed	NOUN
ajst-241	18	12	have	have	AUX
ajst-241	18	13	been	be	AUX
ajst-241	18	14	greatly	greatly	ADV
ajst-241	18	15	improved	improve	VERB
ajst-241	18	16	.	.	PUNCT
ajst-241	19	1	its	its	PRON
ajst-241	19	2	structure	structure	NOUN
ajst-241	19	3	is	be	AUX
ajst-241	19	4	shown	show	VERB
ajst-241	19	5	in	in	ADP
ajst-241	19	6	figure	figure	NOUN
ajst-241	19	7	1	1	NUM
ajst-241	19	8	.	.	PUNCT
ajst-241	20	1	the	the	DET
ajst-241	20	2	overall	overall	ADJ
ajst-241	20	3	idea	idea	NOUN
ajst-241	20	4	of	of	ADP
ajst-241	20	5	the	the	DET
ajst-241	20	6	yolov3	yolov3	PROPN
ajst-241	20	7	algorithm	algorithm	PROPN
ajst-241	20	8	is	be	AUX
ajst-241	20	9	to	to	PART
ajst-241	20	10	divide	divide	VERB
ajst-241	20	11	an	an	DET
ajst-241	20	12	image	image	NOUN
ajst-241	20	13	into	into	ADP
ajst-241	20	14	s×s	s×s	ADJ
ajst-241	20	15	grid	grid	NOUN
ajst-241	20	16	cells	cell	NOUN
ajst-241	20	17	for	for	ADP
ajst-241	20	18	detection	detection	NOUN
ajst-241	20	19	.	.	PUNCT
ajst-241	21	1	each	each	DET
ajst-241	21	2	grid	grid	NOUN
ajst-241	21	3	is	be	AUX
ajst-241	21	4	responsible	responsible	ADJ
ajst-241	21	5	for	for	ADP
ajst-241	21	6	detecting	detect	VERB
ajst-241	21	7	the	the	DET
ajst-241	21	8	targets	target	NOUN
ajst-241	21	9	falling	fall	VERB
ajst-241	21	10	into	into	ADP
ajst-241	21	11	it	it	PRON
ajst-241	21	12	,	,	PUNCT
ajst-241	21	13	and	and	CCONJ
ajst-241	21	14	predicting	predict	VERB
ajst-241	21	15	the	the	DET
ajst-241	21	16	bounding	bounding	NOUN
ajst-241	21	17	boxes	box	NOUN
ajst-241	21	18	and	and	CCONJ
ajst-241	21	19	positions	position	NOUN
ajst-241	21	20	of	of	ADP
ajst-241	21	21	the	the	DET
ajst-241	21	22	targets	target	NOUN
ajst-241	21	23	contained	contain	VERB
ajst-241	21	24	in	in	ADP
ajst-241	21	25	all	all	DET
ajst-241	21	26	grids	grid	NOUN
ajst-241	21	27	at	at	ADP
ajst-241	21	28	one	one	NUM
ajst-241	21	29	time	time	NOUN
ajst-241	21	30	.	.	PUNCT
ajst-241	22	1	information	information	NOUN
ajst-241	22	2	,	,	PUNCT
ajst-241	22	3	and	and	CCONJ
ajst-241	22	4	probability	probability	NOUN
ajst-241	22	5	vectors	vector	NOUN
ajst-241	22	6	for	for	ADP
ajst-241	22	7	all	all	DET
ajst-241	22	8	classes	class	NOUN
ajst-241	22	9	.	.	PUNCT
ajst-241	23	1	2.1	2.1	NUM
ajst-241	23	2	.	.	PUNCT
ajst-241	24	1	backbone	backbone	NOUN
ajst-241	24	2	feature	feature	NOUN
ajst-241	24	3	extraction	extraction	NOUN
ajst-241	24	4	network	network	NOUN
ajst-241	24	5	darknet-53	darknet-53	PROPN
ajst-241	24	6	the	the	DET
ajst-241	24	7	darknet-53	darknet-53	PROPN
ajst-241	24	8	network	network	NOUN
ajst-241	24	9	is	be	AUX
ajst-241	24	10	shown	show	VERB
ajst-241	24	11	in	in	ADP
ajst-241	24	12	the	the	DET
ajst-241	24	13	left	left	ADJ
ajst-241	24	14	part	part	NOUN
ajst-241	24	15	of	of	ADP
ajst-241	24	16	figure	figure	NOUN
ajst-241	24	17	1	1	NUM
ajst-241	24	18	.	.	PUNCT
ajst-241	25	1	it	it	PRON
ajst-241	25	2	is	be	AUX
ajst-241	25	3	based	base	VERB
ajst-241	25	4	on	on	ADP
ajst-241	25	5	the	the	DET
ajst-241	25	6	darknet-19	darknet-19	PROPN
ajst-241	25	7	proposed	propose	VERB
ajst-241	25	8	by	by	ADP
ajst-241	25	9	yolov2	yolov2	PROPN
ajst-241	25	10	and	and	CCONJ
ajst-241	25	11	has	have	VERB
ajst-241	25	12	two	two	NUM
ajst-241	25	13	main	main	ADJ
ajst-241	25	14	improvements	improvement	NOUN
ajst-241	25	15	:	:	PUNCT
ajst-241	25	16	one	one	NUM
ajst-241	25	17	is	be	AUX
ajst-241	25	18	that	that	SCONJ
ajst-241	25	19	darknet-53	darknet-53	PROPN
ajst-241	25	20	is	be	AUX
ajst-241	25	21	a	a	DET
ajst-241	25	22	fully	fully	ADV
ajst-241	25	23	convolutional	convolutional	ADJ
ajst-241	25	24	structure	structure	NOUN
ajst-241	25	25	with	with	ADP
ajst-241	25	26	a	a	DET
ajst-241	25	27	total	total	NOUN
ajst-241	25	28	of	of	ADP
ajst-241	25	29	53	53	NUM
ajst-241	25	30	convolutional	convolutional	ADJ
ajst-241	25	31	layers	layer	NOUN
ajst-241	25	32	,	,	PUNCT
ajst-241	25	33	so	so	SCONJ
ajst-241	25	34	it	it	PRON
ajst-241	25	35	is	be	AUX
ajst-241	25	36	named	name	VERB
ajst-241	25	37	as	as	ADP
ajst-241	25	38	such	such	ADJ
ajst-241	25	39	,	,	PUNCT
ajst-241	25	40	each	each	PRON
ajst-241	25	41	of	of	ADP
ajst-241	25	42	which	which	PRON
ajst-241	25	43	is	be	AUX
ajst-241	25	44	composed	compose	VERB
ajst-241	25	45	of	of	ADP
ajst-241	25	46	convolution	convolution	NOUN
ajst-241	25	47	+	+	CCONJ
ajst-241	25	48	batchnormalization	batchnormalization	NOUN
ajst-241	25	49	normalization	normalization	NOUN
ajst-241	25	50	+	+	CCONJ
ajst-241	25	51	leakyrelu	leakyrelu	ADJ
ajst-241	25	52	activation	activation	NOUN
ajst-241	25	53	function	function	NOUN
ajst-241	25	54	.	.	PUNCT
ajst-241	26	1	the	the	DET
ajst-241	26	2	formula	formula	NOUN
ajst-241	26	3	of	of	ADP
ajst-241	26	4	the	the	DET
ajst-241	26	5	leakyrelu	leakyrelu	ADJ
ajst-241	26	6	activation	activation	NOUN
ajst-241	26	7	function	function	NOUN
ajst-241	26	8	is	be	AUX
ajst-241	26	9	shown	show	VERB
ajst-241	26	10	in	in	ADP
ajst-241	26	11	equation	equation	NOUN
ajst-241	26	12	1	1	NUM
ajst-241	26	13	.	.	PUNCT
ajst-241	27	1	(	(	PUNCT
ajst-241	27	2	1	1	X
ajst-241	27	3	)	)	PUNCT
ajst-241	27	4	the	the	DET
ajst-241	27	5	second	second	NOUN
ajst-241	27	6	is	be	AUX
ajst-241	27	7	to	to	PART
ajst-241	27	8	introduce	introduce	VERB
ajst-241	27	9	the	the	DET
ajst-241	27	10	residual	residual	ADJ
ajst-241	27	11	module	module	NOUN
ajst-241	27	12	in	in	ADP
ajst-241	27	13	resnet	resnet	PROPN
ajst-241	27	14	(	(	PUNCT
ajst-241	27	15	residual	residual	ADJ
ajst-241	27	16	network	network	NOUN
ajst-241	27	17	)	)	PUNCT
ajst-241	28	1	[	[	X
ajst-241	28	2	9	9	NUM
ajst-241	28	3	]	]	PUNCT
ajst-241	28	4	.	.	PUNCT
ajst-241	29	1	as	as	SCONJ
ajst-241	29	2	shown	show	VERB
ajst-241	29	3	in	in	ADP
ajst-241	29	4	figure	figure	NOUN
ajst-241	29	5	2	2	NUM
ajst-241	29	6	,	,	PUNCT
ajst-241	29	7	the	the	DET
ajst-241	29	8	residual	residual	ADJ
ajst-241	29	9	module	module	NOUN
ajst-241	29	10	consists	consist	VERB
ajst-241	29	11	of	of	ADP
ajst-241	29	12	two	two	NUM
ajst-241	29	13	convolution	convolution	NOUN
ajst-241	29	14	operations	operation	NOUN
ajst-241	29	15	on	on	ADP
ajst-241	29	16	the	the	DET
ajst-241	29	17	input	input	NOUN
ajst-241	29	18	and	and	CCONJ
ajst-241	29	19	an	an	DET
ajst-241	29	20	add	add	VERB
ajst-241	29	21	operation	operation	NOUN
ajst-241	29	22	on	on	ADP
ajst-241	29	23	a	a	DET
ajst-241	29	24	shortcut	shortcut	NOUN
ajst-241	29	25	link	link	NOUN
ajst-241	29	26	,	,	PUNCT
ajst-241	29	27	where	where	SCONJ
ajst-241	29	28	the	the	DET
ajst-241	29	29	input	input	NOUN
ajst-241	29	30	x	x	INTJ
ajst-241	29	31	it	it	PRON
ajst-241	29	32	can	can	AUX
ajst-241	29	33	be	be	AUX
ajst-241	29	34	expressed	express	VERB
ajst-241	29	35	as	as	ADP
ajst-241	29	36	the	the	DET
ajst-241	29	37	result	result	NOUN
ajst-241	29	38	of	of	ADP
ajst-241	29	39	convolution	convolution	NOUN
ajst-241	29	40	with	with	ADP
ajst-241	29	41	a	a	DET
ajst-241	29	42	convolution	convolution	NOUN
ajst-241	29	43	kernel	kernel	NOUN
ajst-241	29	44	size	size	NOUN
ajst-241	29	45	of	of	ADP
ajst-241	29	46	3	3	NUM
ajst-241	29	47	×	×	NOUN
ajst-241	29	48	3	3	NUM
ajst-241	29	49	and	and	CCONJ
ajst-241	29	50	a	a	DET
ajst-241	29	51	stride	stride	NOUN
ajst-241	29	52	of	of	ADP
ajst-241	29	53	2	2	NUM
ajst-241	29	54	,	,	PUNCT
ajst-241	29	55	which	which	PRON
ajst-241	29	56	replaces	replace	VERB
ajst-241	29	57	pooling	pool	VERB
ajst-241	29	58	to	to	PART
ajst-241	29	59	achieve	achieve	VERB
ajst-241	29	60	downsampling	downsampling	NOUN
ajst-241	29	61	.	.	PUNCT
ajst-241	30	1	the	the	DET
ajst-241	30	2	function	function	NOUN
ajst-241	30	3	of	of	ADP
ajst-241	30	4	the	the	DET
ajst-241	30	5	residual	residual	ADJ
ajst-241	30	6	network	network	NOUN
ajst-241	30	7	is	be	AUX
ajst-241	30	8	to	to	PART
ajst-241	30	9	set	set	VERB
ajst-241	30	10	the	the	DET
ajst-241	30	11	shortcut	shortcut	NOUN
ajst-241	30	12	link	link	NOUN
ajst-241	30	13	[	[	X
ajst-241	30	14	19	19	NUM
ajst-241	30	15	]	]	PUNCT
ajst-241	30	16	between	between	ADP
ajst-241	30	17	the	the	DET
ajst-241	30	18	convolutional	convolutional	ADJ
ajst-241	30	19	layers	layer	NOUN
ajst-241	30	20	,	,	PUNCT
ajst-241	30	21	which	which	PRON
ajst-241	30	22	can	can	AUX
ajst-241	30	23	effectively	effectively	ADV
ajst-241	30	24	reduce	reduce	VERB
ajst-241	30	25	the	the	DET
ajst-241	30	26	difficulty	difficulty	NOUN
ajst-241	30	27	of	of	ADP
ajst-241	30	28	training	train	VERB
ajst-241	30	29	the	the	DET
ajst-241	30	30	deep	deep	ADJ
ajst-241	30	31	network	network	NOUN
ajst-241	30	32	and	and	CCONJ
ajst-241	30	33	enable	enable	VERB
ajst-241	30	34	the	the	DET
ajst-241	30	35	network	network	NOUN
ajst-241	30	36	to	to	PART
ajst-241	30	37	converge	converge	VERB
ajst-241	30	38	better	well	ADV
ajst-241	30	39	.	.	PUNCT
ajst-241	31	1	21	21	NUM
ajst-241	31	2	figure	figure	NOUN
ajst-241	31	3	1	1	NUM
ajst-241	31	4	.	.	PUNCT
ajst-241	32	1	yolov3	yolov3	PROPN
ajst-241	32	2	structure	structure	NOUN
ajst-241	32	3	figure	figure	NOUN
ajst-241	32	4	1	1	NUM
ajst-241	32	5	.	.	PUNCT
ajst-241	32	6	residual	residual	ADJ
ajst-241	32	7	structure	structure	NOUN
ajst-241	32	8	it	it	PRON
ajst-241	32	9	is	be	AUX
ajst-241	32	10	worth	worth	ADJ
ajst-241	32	11	noting	note	VERB
ajst-241	32	12	that	that	SCONJ
ajst-241	32	13	from	from	ADP
ajst-241	32	14	the	the	DET
ajst-241	32	15	residual	residual	ADJ
ajst-241	32	16	block	block	NOUN
ajst-241	32	17	module	module	NOUN
ajst-241	32	18	in	in	ADP
ajst-241	32	19	the	the	DET
ajst-241	32	20	darknet-53	darknet-53	PROPN
ajst-241	32	21	section	section	NOUN
ajst-241	32	22	in	in	ADP
ajst-241	32	23	figure	figure	NOUN
ajst-241	32	24	1	1	NUM
ajst-241	32	25	,	,	PUNCT
ajst-241	32	26	1	1	NUM
ajst-241	32	27	,	,	PUNCT
ajst-241	32	28	2	2	NUM
ajst-241	32	29	,	,	PUNCT
ajst-241	32	30	8	8	NUM
ajst-241	32	31	,	,	PUNCT
ajst-241	32	32	8	8	NUM
ajst-241	32	33	,	,	PUNCT
ajst-241	32	34	and	and	CCONJ
ajst-241	32	35	4	4	NUM
ajst-241	32	36	represent	represent	VERB
ajst-241	32	37	several	several	ADJ
ajst-241	32	38	repeated	repeat	VERB
ajst-241	32	39	residual	residual	ADJ
ajst-241	32	40	modules	module	NOUN
ajst-241	32	41	,	,	PUNCT
ajst-241	32	42	and	and	CCONJ
ajst-241	32	43	retain	retain	VERB
ajst-241	32	44	the	the	DET
ajst-241	32	45	different	different	ADJ
ajst-241	32	46	sizes	size	NOUN
ajst-241	32	47	of	of	ADP
ajst-241	32	48	the	the	DET
ajst-241	32	49	last	last	ADJ
ajst-241	32	50	three	three	NUM
ajst-241	32	51	modules	module	NOUN
ajst-241	32	52	.	.	PUNCT
ajst-241	33	1	output	output	NOUN
ajst-241	33	2	,	,	PUNCT
ajst-241	33	3	so	so	SCONJ
ajst-241	33	4	that	that	SCONJ
ajst-241	33	5	the	the	DET
ajst-241	33	6	output	output	NOUN
ajst-241	33	7	can	can	AUX
ajst-241	33	8	be	be	AUX
ajst-241	33	9	used	use	VERB
ajst-241	33	10	in	in	ADP
ajst-241	33	11	subsequent	subsequent	ADJ
ajst-241	33	12	concat	concat	NOUN
ajst-241	33	13	operations	operation	NOUN
ajst-241	33	14	for	for	ADP
ajst-241	33	15	feature	feature	NOUN
ajst-241	33	16	fusion	fusion	NOUN
ajst-241	33	17	.	.	PUNCT
ajst-241	34	1	2.2	2.2	NUM
ajst-241	34	2	.	.	PUNCT
ajst-241	35	1	multi	multi	ADJ
ajst-241	35	2	-	-	ADJ
ajst-241	35	3	scale	scale	ADJ
ajst-241	35	4	feature	feature	NOUN
ajst-241	35	5	fusion	fusion	NOUN
ajst-241	35	6	yolov3	yolov3	PROPN
ajst-241	35	7	borrows	borrow	VERB
ajst-241	35	8	the	the	DET
ajst-241	35	9	idea	idea	NOUN
ajst-241	35	10	of	of	ADP
ajst-241	35	11	fpn	fpn	PROPN
ajst-241	35	12	(	(	PUNCT
ajst-241	35	13	feature	feature	NOUN
ajst-241	35	14	pyramid	pyramid	NOUN
ajst-241	35	15	)	)	PUNCT
ajst-241	36	1	[	[	X
ajst-241	36	2	10	10	NUM
ajst-241	36	3	]	]	PUNCT
ajst-241	36	4	,	,	PUNCT
ajst-241	36	5	and	and	CCONJ
ajst-241	36	6	uses	use	VERB
ajst-241	36	7	three	three	NUM
ajst-241	36	8	feature	feature	NOUN
ajst-241	36	9	maps	map	NOUN
ajst-241	36	10	of	of	ADP
ajst-241	36	11	different	different	ADJ
ajst-241	36	12	scales	scale	NOUN
ajst-241	36	13	for	for	ADP
ajst-241	36	14	object	object	NOUN
ajst-241	36	15	detection	detection	NOUN
ajst-241	36	16	.	.	PUNCT
ajst-241	37	1	as	as	SCONJ
ajst-241	37	2	can	can	AUX
ajst-241	37	3	be	be	AUX
ajst-241	37	4	seen	see	VERB
ajst-241	37	5	in	in	ADP
ajst-241	37	6	the	the	DET
ajst-241	37	7	darknet-53	darknet-53	PROPN
ajst-241	37	8	part	part	NOUN
ajst-241	37	9	of	of	ADP
ajst-241	37	10	figure	figure	NOUN
ajst-241	37	11	1	1	NUM
ajst-241	37	12	,	,	PUNCT
ajst-241	37	13	a	a	DET
ajst-241	37	14	total	total	NOUN
ajst-241	37	15	of	of	ADP
ajst-241	37	16	three	three	NUM
ajst-241	37	17	feature	feature	NOUN
ajst-241	37	18	layers	layer	NOUN
ajst-241	37	19	are	be	AUX
ajst-241	37	20	extracted	extract	VERB
ajst-241	37	21	,	,	PUNCT
ajst-241	37	22	and	and	CCONJ
ajst-241	37	23	the	the	DET
ajst-241	37	24	shapes	shape	NOUN
ajst-241	37	25	of	of	ADP
ajst-241	37	26	the	the	DET
ajst-241	37	27	three	three	NUM
ajst-241	37	28	feature	feature	NOUN
ajst-241	37	29	layers	layer	NOUN
ajst-241	37	30	are	be	AUX
ajst-241	37	31	(	(	PUNCT
ajst-241	37	32	52	52	NUM
ajst-241	37	33	,	,	PUNCT
ajst-241	37	34	52	52	NUM
ajst-241	37	35	,	,	PUNCT
ajst-241	37	36	256	256	NUM
ajst-241	37	37	)	)	PUNCT
ajst-241	37	38	,	,	PUNCT
ajst-241	37	39	(	(	PUNCT
ajst-241	37	40	26	26	NUM
ajst-241	37	41	,	,	PUNCT
ajst-241	37	42	26	26	NUM
ajst-241	37	43	,	,	PUNCT
ajst-241	37	44	512	512	NUM
ajst-241	37	45	)	)	PUNCT
ajst-241	37	46	,	,	PUNCT
ajst-241	37	47	(	(	PUNCT
ajst-241	37	48	13	13	NUM
ajst-241	37	49	,	,	PUNCT
ajst-241	37	50	13	13	NUM
ajst-241	37	51	,	,	PUNCT
ajst-241	37	52	1024	1024	NUM
ajst-241	37	53	)	)	PUNCT
ajst-241	37	54	.	.	PUNCT
ajst-241	38	1	after	after	ADP
ajst-241	38	2	upsampling	upsample	VERB
ajst-241	38	3	,	,	PUNCT
ajst-241	38	4	concat	concat	NOUN
ajst-241	38	5	and	and	CCONJ
ajst-241	38	6	other	other	ADJ
ajst-241	38	7	operations	operation	NOUN
ajst-241	38	8	on	on	ADP
ajst-241	38	9	the	the	DET
ajst-241	38	10	three	three	NUM
ajst-241	38	11	features	feature	NOUN
ajst-241	38	12	,	,	PUNCT
ajst-241	38	13	the	the	DET
ajst-241	38	14	fusion	fusion	NOUN
ajst-241	38	15	of	of	ADP
ajst-241	38	16	features	feature	NOUN
ajst-241	38	17	is	be	AUX
ajst-241	38	18	realized	realize	VERB
ajst-241	38	19	,	,	PUNCT
ajst-241	38	20	which	which	PRON
ajst-241	38	21	further	far	ADV
ajst-241	38	22	improves	improve	VERB
ajst-241	38	23	the	the	DET
ajst-241	38	24	ability	ability	NOUN
ajst-241	38	25	to	to	PART
ajst-241	38	26	detect	detect	VERB
ajst-241	38	27	small	small	ADJ
ajst-241	38	28	targets	target	NOUN
ajst-241	38	29	.	.	PUNCT
ajst-241	39	1	2.3	2.3	NUM
ajst-241	39	2	.	.	PUNCT
ajst-241	40	1	bounding	bound	VERB
ajst-241	40	2	box	box	PROPN
ajst-241	40	3	2.3.1	2.3.1	PROPN
ajst-241	40	4	.	.	PUNCT
ajst-241	40	5	anchor	anchor	PROPN
ajst-241	40	6	box	box	PROPN
ajst-241	40	7	before	before	ADP
ajst-241	40	8	predicting	predict	VERB
ajst-241	40	9	the	the	DET
ajst-241	40	10	bounding	bounding	NOUN
ajst-241	40	11	box	box	NOUN
ajst-241	40	12	,	,	PUNCT
ajst-241	40	13	you	you	PRON
ajst-241	40	14	need	need	VERB
ajst-241	40	15	to	to	PART
ajst-241	40	16	understand	understand	VERB
ajst-241	40	17	anchors	anchor	NOUN
ajst-241	40	18	.	.	PUNCT
ajst-241	41	1	anchors	anchor	NOUN
ajst-241	41	2	are	be	AUX
ajst-241	41	3	actually	actually	ADV
ajst-241	41	4	anchor	anchor	NOUN
ajst-241	41	5	boxes	box	NOUN
ajst-241	41	6	with	with	ADP
ajst-241	41	7	suitable	suitable	ADJ
ajst-241	41	8	size	size	NOUN
ajst-241	41	9	and	and	CCONJ
ajst-241	41	10	shape	shape	NOUN
ajst-241	41	11	clustered	cluster	VERB
ajst-241	41	12	according	accord	VERB
ajst-241	41	13	to	to	ADP
ajst-241	41	14	the	the	DET
ajst-241	41	15	target	target	NOUN
ajst-241	41	16	parameters	parameter	NOUN
ajst-241	41	17	in	in	ADP
ajst-241	41	18	the	the	DET
ajst-241	41	19	positive	positive	ADJ
ajst-241	41	20	samples	sample	NOUN
ajst-241	41	21	in	in	ADP
ajst-241	41	22	the	the	DET
ajst-241	41	23	training	training	NOUN
ajst-241	41	24	set	set	NOUN
ajst-241	41	25	.	.	PUNCT
ajst-241	42	1	the	the	DET
ajst-241	42	2	function	function	NOUN
ajst-241	42	3	of	of	ADP
ajst-241	42	4	anchors	anchor	NOUN
ajst-241	42	5	is	be	AUX
ajst-241	42	6	mainly	mainly	ADV
ajst-241	42	7	used	use	VERB
ajst-241	42	8	to	to	PART
ajst-241	42	9	predict	predict	VERB
ajst-241	42	10	the	the	DET
ajst-241	42	11	boundary	boundary	NOUN
ajst-241	42	12	.	.	PUNCT
ajst-241	43	1	box	box	PROPN
ajst-241	43	2	(	(	PUNCT
ajst-241	43	3	boundingbox	boundingbox	NOUN
ajst-241	43	4	)	)	PUNCT
ajst-241	43	5	.	.	PUNCT
ajst-241	44	1	22	22	NUM
ajst-241	44	2	yolov3	yolov3	PROPN
ajst-241	44	3	uses	use	VERB
ajst-241	44	4	the	the	DET
ajst-241	44	5	k	k	NOUN
ajst-241	44	6	-	-	PUNCT
ajst-241	44	7	means	mean	VERB
ajst-241	44	8	clustering	cluster	VERB
ajst-241	44	9	algorithm	algorithm	NOUN
ajst-241	44	10	to	to	PART
ajst-241	44	11	cluster	cluster	VERB
ajst-241	44	12	the	the	DET
ajst-241	44	13	label	label	NOUN
ajst-241	44	14	boxes	box	NOUN
ajst-241	44	15	in	in	ADP
ajst-241	44	16	the	the	DET
ajst-241	44	17	data	datum	NOUN
ajst-241	44	18	set	set	VERB
ajst-241	44	19	while	while	SCONJ
ajst-241	44	20	following	follow	VERB
ajst-241	44	21	the	the	DET
ajst-241	44	22	techniques	technique	NOUN
ajst-241	44	23	of	of	ADP
ajst-241	44	24	yolov2	yolov2	PROPN
ajst-241	44	25	a	a	DET
ajst-241	44	26	priori	priori	ADJ
ajst-241	44	27	box	box	NOUN
ajst-241	44	28	,	,	PUNCT
ajst-241	44	29	and	and	CCONJ
ajst-241	44	30	obtains	obtain	VERB
ajst-241	44	31	three	three	NUM
ajst-241	44	32	types	type	NOUN
ajst-241	44	33	of	of	ADP
ajst-241	44	34	a	a	DET
ajst-241	44	35	priori	priori	ADJ
ajst-241	44	36	boxes	box	NOUN
ajst-241	44	37	of	of	ADP
ajst-241	44	38	large	large	ADJ
ajst-241	44	39	,	,	PUNCT
ajst-241	44	40	medium	medium	ADJ
ajst-241	44	41	and	and	CCONJ
ajst-241	44	42	small	small	ADJ
ajst-241	44	43	.	.	PUNCT
ajst-241	45	1	the	the	DET
ajst-241	45	2	a	a	DET
ajst-241	45	3	priori	priori	ADJ
ajst-241	45	4	box	box	NOUN
ajst-241	45	5	of	of	ADP
ajst-241	45	6	the	the	DET
ajst-241	45	7	coco	coco	PROPN
ajst-241	45	8	dataset	dataset	PROPN
ajst-241	45	9	is	be	AUX
ajst-241	45	10	shown	show	VERB
ajst-241	45	11	in	in	ADP
ajst-241	45	12	table	table	NOUN
ajst-241	45	13	1	1	NUM
ajst-241	45	14	.	.	PUNCT
ajst-241	46	1	there	there	PRON
ajst-241	46	2	are	be	VERB
ajst-241	46	3	9	9	NUM
ajst-241	46	4	anchors	anchor	NOUN
ajst-241	46	5	in	in	ADP
ajst-241	46	6	total	total	NOUN
ajst-241	46	7	,	,	PUNCT
ajst-241	46	8	each	each	DET
ajst-241	46	9	3	3	NUM
ajst-241	46	10	anchors	anchor	NOUN
ajst-241	46	11	corresponds	correspond	VERB
ajst-241	46	12	to	to	ADP
ajst-241	46	13	an	an	DET
ajst-241	46	14	output	output	NOUN
ajst-241	46	15	,	,	PUNCT
ajst-241	46	16	and	and	CCONJ
ajst-241	46	17	an	an	DET
ajst-241	46	18	output	output	NOUN
ajst-241	46	19	contains	contain	VERB
ajst-241	46	20	3	3	NUM
ajst-241	46	21	predicted	predict	VERB
ajst-241	46	22	bounding	bounding	NOUN
ajst-241	46	23	boxes	box	NOUN
ajst-241	46	24	.	.	PUNCT
ajst-241	47	1	table	table	NOUN
ajst-241	47	2	1	1	NUM
ajst-241	47	3	.	.	PUNCT
ajst-241	47	4	prior	prior	PROPN
ajst-241	47	5	box	box	PROPN
ajst-241	47	6	assignments	assignments	PROPN
ajst-241	47	7	assignment	assignment	NOUN
ajst-241	47	8	result	result	NOUN
ajst-241	47	9	featuremap	featuremap	VERB
ajst-241	47	10	13	13	NUM
ajst-241	47	11	*	*	SYM
ajst-241	47	12	13	13	NUM
ajst-241	47	13	26	26	NUM
ajst-241	47	14	*	*	SYM
ajst-241	47	15	26	26	NUM
ajst-241	47	16	52	52	NUM
ajst-241	47	17	*	*	SYM
ajst-241	47	18	52	52	NUM
ajst-241	47	19	feeling	feel	VERB
ajst-241	47	20	wild	wild	ADJ
ajst-241	47	21	big	big	ADJ
ajst-241	47	22	middle	middle	ADJ
ajst-241	47	23	small	small	ADJ
ajst-241	47	24	priori	priori	X
ajst-241	47	25	box	box	PROPN
ajst-241	47	26	(	(	PUNCT
ajst-241	47	27	116,90);(156,198);(373	116,90);(156,198);(373	NUM
ajst-241	47	28	,	,	PUNCT
ajst-241	47	29	326	326	NUM
ajst-241	47	30	)	)	PUNCT
ajst-241	47	31	(	(	PUNCT
ajst-241	47	32	30,61);(62,45);(59,119	30,61);(62,45);(59,119	NUM
ajst-241	47	33	)	)	PUNCT
ajst-241	47	34	(	(	PUNCT
ajst-241	47	35	10,13);(16,30);(33,23	10,13);(16,30);(33,23	NUM
ajst-241	47	36	)	)	PUNCT
ajst-241	47	37	2.3.2	2.3.2	NUM
ajst-241	47	38	.	.	PUNCT
ajst-241	48	1	prediction	prediction	NOUN
ajst-241	48	2	of	of	ADP
ajst-241	48	3	bounding	bound	VERB
ajst-241	48	4	boxes	box	NOUN
ajst-241	48	5	when	when	SCONJ
ajst-241	48	6	the	the	DET
ajst-241	48	7	input	input	NOUN
ajst-241	48	8	feature	feature	NOUN
ajst-241	48	9	map	map	NOUN
ajst-241	48	10	and	and	CCONJ
ajst-241	48	11	a	a	DET
ajst-241	48	12	priori	priori	ADJ
ajst-241	48	13	box	box	NOUN
ajst-241	48	14	are	be	AUX
ajst-241	48	15	obtained	obtain	VERB
ajst-241	48	16	,	,	PUNCT
ajst-241	48	17	the	the	DET
ajst-241	48	18	bounding	bounding	NOUN
ajst-241	48	19	box	box	NOUN
ajst-241	48	20	can	can	AUX
ajst-241	48	21	be	be	AUX
ajst-241	48	22	calculated	calculate	VERB
ajst-241	48	23	.	.	PUNCT
ajst-241	49	1	the	the	DET
ajst-241	49	2	regression	regression	NOUN
ajst-241	49	3	process	process	NOUN
ajst-241	49	4	of	of	ADP
ajst-241	49	5	the	the	DET
ajst-241	49	6	bounding	bounding	NOUN
ajst-241	49	7	box	box	NOUN
ajst-241	49	8	is	be	AUX
ajst-241	49	9	shown	show	VERB
ajst-241	49	10	in	in	ADP
ajst-241	49	11	figure	figure	NOUN
ajst-241	49	12	3	3	NUM
ajst-241	49	13	.	.	PUNCT
ajst-241	50	1	the	the	DET
ajst-241	50	2	grid	grid	NOUN
ajst-241	50	3	cell	cell	NOUN
ajst-241	50	4	in	in	ADP
ajst-241	50	5	the	the	DET
ajst-241	50	6	second	second	ADJ
ajst-241	50	7	row	row	NOUN
ajst-241	50	8	and	and	CCONJ
ajst-241	50	9	the	the	DET
ajst-241	50	10	second	second	ADJ
ajst-241	50	11	column	column	NOUN
ajst-241	50	12	is	be	AUX
ajst-241	50	13	responsible	responsible	ADJ
ajst-241	50	14	for	for	ADP
ajst-241	50	15	predicting	predict	VERB
ajst-241	50	16	the	the	DET
ajst-241	50	17	target	target	NOUN
ajst-241	50	18	of	of	ADP
ajst-241	50	19	the	the	DET
ajst-241	50	20	area	area	NOUN
ajst-241	50	21	.	.	PUNCT
ajst-241	51	1	the	the	DET
ajst-241	51	2	coordinates	coordinate	NOUN
ajst-241	51	3	of	of	ADP
ajst-241	51	4	its	its	PRON
ajst-241	51	5	upper	upper	ADJ
ajst-241	51	6	left	left	NOUN
ajst-241	51	7	corner	corner	NOUN
ajst-241	51	8	are	be	AUX
ajst-241	51	9	(	(	PUNCT
ajst-241	51	10	1	1	NUM
ajst-241	51	11	,	,	PUNCT
ajst-241	51	12	1	1	NUM
ajst-241	51	13	)	)	PUNCT
ajst-241	51	14	,	,	PUNCT
ajst-241	51	15	then	then	ADV
ajst-241	51	16	for	for	ADP
ajst-241	51	17	a	a	DET
ajst-241	51	18	grid	grid	NOUN
ajst-241	51	19	cell	cell	NOUN
ajst-241	51	20	,	,	PUNCT
ajst-241	51	21	cx	cx	PROPN
ajst-241	52	1	=	=	SYM
ajst-241	52	2	1,cy=1	1,cy=1	NUM
ajst-241	52	3	.	.	PUNCT
ajst-241	53	1	the	the	DET
ajst-241	53	2	blue	blue	PROPN
ajst-241	53	3	box	box	PROPN
ajst-241	53	4	in	in	ADP
ajst-241	53	5	the	the	DET
ajst-241	53	6	figure	figure	NOUN
ajst-241	53	7	is	be	AUX
ajst-241	53	8	the	the	DET
ajst-241	53	9	predicted	predict	VERB
ajst-241	53	10	bounding	bounding	NOUN
ajst-241	53	11	box	box	NOUN
ajst-241	53	12	.	.	PUNCT
ajst-241	54	1	tx	tx	PROPN
ajst-241	55	1	and	and	CCONJ
ajst-241	55	2	ty	ty	PRON
ajst-241	55	3	are	be	AUX
ajst-241	55	4	the	the	DET
ajst-241	55	5	offsets	offset	NOUN
ajst-241	55	6	of	of	ADP
ajst-241	55	7	(	(	PUNCT
ajst-241	55	8	0	0	NUM
ajst-241	55	9	,	,	PUNCT
ajst-241	55	10	1	1	NUM
ajst-241	55	11	)	)	PUNCT
ajst-241	55	12	after	after	ADP
ajst-241	55	13	being	be	AUX
ajst-241	55	14	processed	process	VERB
ajst-241	55	15	by	by	ADP
ajst-241	55	16	the	the	DET
ajst-241	55	17	sigmoid	sigmoid	NOUN
ajst-241	55	18	function	function	NOUN
ajst-241	55	19	respectively	respectively	ADV
ajst-241	55	20	.	.	PUNCT
ajst-241	56	1	then	then	ADV
ajst-241	56	2	according	accord	VERB
ajst-241	56	3	to	to	ADP
ajst-241	56	4	the	the	DET
ajst-241	56	5	formulas	formula	NOUN
ajst-241	56	6	,	,	PUNCT
ajst-241	56	7	the	the	DET
ajst-241	56	8	offsets	offset	NOUN
ajst-241	56	9	of	of	ADP
ajst-241	56	10	tx	tx	PROPN
ajst-241	56	11	and	and	CCONJ
ajst-241	56	12	ty	ty	INTJ
ajst-241	56	13	are	be	AUX
ajst-241	56	14	added	add	VERB
ajst-241	56	15	to	to	ADP
ajst-241	56	16	cx	cx	PROPN
ajst-241	56	17	respectively	respectively	ADV
ajst-241	56	18	.	.	PUNCT
ajst-241	57	1	cy	cy	PROPN
ajst-241	57	2	can	can	AUX
ajst-241	57	3	get	get	VERB
ajst-241	57	4	the	the	DET
ajst-241	57	5	center	center	NOUN
ajst-241	57	6	coordinates	coordinate	NOUN
ajst-241	57	7	(	(	PUNCT
ajst-241	57	8	bx	bx	X
ajst-241	57	9	,	,	PUNCT
ajst-241	57	10	by	by	ADP
ajst-241	57	11	)	)	PUNCT
ajst-241	57	12	of	of	ADP
ajst-241	57	13	the	the	DET
ajst-241	57	14	bounding	bounding	NOUN
ajst-241	57	15	box	box	NOUN
ajst-241	57	16	.	.	PUNCT
ajst-241	58	1	pw	pw	PROPN
ajst-241	58	2	,	,	PUNCT
ajst-241	58	3	ph	ph	PROPN
ajst-241	58	4	are	be	AUX
ajst-241	58	5	the	the	DET
ajst-241	58	6	width	width	ADJ
ajst-241	58	7	and	and	CCONJ
ajst-241	58	8	height	height	NOUN
ajst-241	58	9	of	of	ADP
ajst-241	58	10	the	the	DET
ajst-241	58	11	anchors	anchor	NOUN
ajst-241	58	12	mapped	map	VERB
ajst-241	58	13	to	to	ADP
ajst-241	58	14	the	the	DET
ajst-241	58	15	feature	feature	NOUN
ajst-241	58	16	map	map	NOUN
ajst-241	58	17	,	,	PUNCT
ajst-241	58	18	tw	tw	PRON
ajst-241	58	19	,	,	PUNCT
ajst-241	58	20	th	th	X
ajst-241	58	21	are	be	AUX
ajst-241	58	22	the	the	DET
ajst-241	58	23	scaling	scale	VERB
ajst-241	58	24	values	value	NOUN
ajst-241	58	25	of	of	ADP
ajst-241	58	26	the	the	DET
ajst-241	58	27	scale	scale	NOUN
ajst-241	58	28	,	,	PUNCT
ajst-241	58	29	because	because	SCONJ
ajst-241	58	30	the	the	DET
ajst-241	58	31	width	width	NOUN
ajst-241	58	32	and	and	CCONJ
ajst-241	58	33	height	height	NOUN
ajst-241	58	34	are	be	AUX
ajst-241	58	35	non	non	ADJ
ajst-241	58	36	-	-	ADJ
ajst-241	58	37	negative	negative	ADJ
ajst-241	58	38	numbers	number	NOUN
ajst-241	58	39	,	,	PUNCT
ajst-241	58	40	so	so	ADV
ajst-241	58	41	first	first	ADV
ajst-241	58	42	do	do	AUX
ajst-241	58	43	the	the	DET
ajst-241	58	44	exponential	exponential	ADJ
ajst-241	58	45	operation	operation	NOUN
ajst-241	58	46	on	on	ADP
ajst-241	58	47	tw	tw	PROPN
ajst-241	58	48	,	,	PUNCT
ajst-241	58	49	th	th	X
ajst-241	58	50	.	.	PUNCT
ajst-241	59	1	according	accord	VERB
ajst-241	59	2	to	to	ADP
ajst-241	59	3	the	the	DET
ajst-241	59	4	formula	formula	NOUN
ajst-241	59	5	in	in	ADP
ajst-241	59	6	the	the	DET
ajst-241	59	7	figure	figure	NOUN
ajst-241	59	8	,	,	PUNCT
ajst-241	59	9	the	the	DET
ajst-241	59	10	values	value	NOUN
ajst-241	59	11	of	of	ADP
ajst-241	59	12	the	the	DET
ajst-241	59	13	four	four	NUM
ajst-241	59	14	coordinates	coordinate	NOUN
ajst-241	59	15	of	of	ADP
ajst-241	59	16	bx	bx	PROPN
ajst-241	59	17	,	,	PUNCT
ajst-241	59	18	by	by	ADP
ajst-241	59	19	,	,	PUNCT
ajst-241	59	20	bw	bw	NOUN
ajst-241	59	21	,	,	PUNCT
ajst-241	59	22	and	and	CCONJ
ajst-241	59	23	bh	bh	NOUN
ajst-241	59	24	of	of	ADP
ajst-241	59	25	the	the	DET
ajst-241	59	26	bounding	bounding	NOUN
ajst-241	59	27	box	box	NOUN
ajst-241	59	28	can	can	AUX
ajst-241	59	29	be	be	AUX
ajst-241	59	30	predicted	predict	VERB
ajst-241	59	31	.	.	PUNCT
ajst-241	60	1	figure	figure	NOUN
ajst-241	60	2	2	2	NUM
ajst-241	60	3	.	.	PUNCT
ajst-241	61	1	bounding	bound	VERB
ajst-241	61	2	box	box	NOUN
ajst-241	61	3	calculation	calculation	NOUN
ajst-241	61	4	2.4	2.4	NUM
ajst-241	61	5	.	.	PUNCT
ajst-241	62	1	loss	loss	NOUN
ajst-241	62	2	fuction	fuction	NOUN
ajst-241	62	3	the	the	DET
ajst-241	62	4	loss	loss	NOUN
ajst-241	62	5	function	function	NOUN
ajst-241	62	6	of	of	ADP
ajst-241	62	7	yolov3	yolov3	PROPN
ajst-241	62	8	mainly	mainly	ADV
ajst-241	62	9	consists	consist	VERB
ajst-241	62	10	of	of	ADP
ajst-241	62	11	three	three	NUM
ajst-241	62	12	parts	part	NOUN
ajst-241	62	13	:	:	PUNCT
ajst-241	62	14	coordinate	coordinate	NOUN
ajst-241	62	15	error	error	NOUN
ajst-241	62	16	,	,	PUNCT
ajst-241	62	17	confidence	confidence	NOUN
ajst-241	62	18	error	error	NOUN
ajst-241	62	19	,	,	PUNCT
ajst-241	62	20	and	and	CCONJ
ajst-241	62	21	classification	classification	NOUN
ajst-241	62	22	error	error	NOUN
ajst-241	62	23	.	.	PUNCT
ajst-241	63	1	calculated	calculate	VERB
ajst-241	63	2	as	as	SCONJ
ajst-241	63	3	follows	follow	VERB
ajst-241	63	4	:	:	PUNCT
ajst-241	63	5	in	in	ADP
ajst-241	63	6	the	the	DET
ajst-241	63	7	formula	formula	NOUN
ajst-241	63	8	:	:	PUNCT
ajst-241	63	9	s	s	VERB
ajst-241	63	10	is	be	AUX
ajst-241	63	11	the	the	DET
ajst-241	63	12	division	division	NOUN
ajst-241	63	13	coefficient	coefficient	NOUN
ajst-241	63	14	of	of	ADP
ajst-241	63	15	the	the	DET
ajst-241	63	16	image	image	NOUN
ajst-241	63	17	,	,	PUNCT
ajst-241	63	18	b	b	NOUN
ajst-241	63	19	is	be	AUX
ajst-241	63	20	the	the	DET
ajst-241	63	21	number	number	NOUN
ajst-241	63	22	of	of	ADP
ajst-241	63	23	bounding	bounding	NOUN
ajst-241	63	24	boxes	box	NOUN
ajst-241	63	25	predicted	predict	VERB
ajst-241	63	26	in	in	ADP
ajst-241	63	27	each	each	DET
ajst-241	63	28	grid	grid	NOUN
ajst-241	63	29	,	,	PUNCT
ajst-241	63	30	c	c	PROPN
ajst-241	63	31	is	be	AUX
ajst-241	63	32	the	the	DET
ajst-241	63	33	confidence	confidence	NOUN
ajst-241	63	34	,	,	PUNCT
ajst-241	63	35	p	p	NOUN
ajst-241	63	36	is	be	AUX
ajst-241	63	37	the	the	DET
ajst-241	63	38	class	class	NOUN
ajst-241	63	39	probability	probability	NOUN
ajst-241	63	40	,	,	PUNCT
ajst-241	63	41	c=0,1,	c=0,1,	PROPN
ajst-241	63	42	...	...	PUNCT
ajst-241	63	43	,classes	,classes	PUNCT
ajst-241	63	44	is	be	AUX
ajst-241	63	45	the	the	DET
ajst-241	63	46	class	class	NOUN
ajst-241	63	47	number	number	NOUN
ajst-241	63	48	,	,	PUNCT
ajst-241	63	49	i=0,1,	i=0,1,	VERB
ajst-241	63	50	...	...	PUNCT
ajst-241	63	51	,s2	,s2	PUNCT
ajst-241	63	52	is	be	AUX
ajst-241	63	53	the	the	DET
ajst-241	63	54	grid	grid	NOUN
ajst-241	63	55	number	number	NOUN
ajst-241	63	56	,	,	PUNCT
ajst-241	63	57	j=0,1,	j=0,1,	PROPN
ajst-241	63	58	...	...	SYM
ajst-241	63	59	b	b	X
ajst-241	63	60	is	be	AUX
ajst-241	63	61	the	the	DET
ajst-241	63	62	frame	frame	NOUN
ajst-241	63	63	number	number	NOUN
ajst-241	63	64	,	,	PUNCT
ajst-241	63	65	xi	xi	X
ajst-241	63	66	is	be	AUX
ajst-241	63	67	the	the	DET
ajst-241	63	68	abscissa	abscissa	NOUN
ajst-241	63	69	of	of	ADP
ajst-241	63	70	the	the	DET
ajst-241	63	71	center	center	ADJ
ajst-241	63	72	point	point	NOUN
ajst-241	63	73	of	of	ADP
ajst-241	63	74	the	the	DET
ajst-241	63	75	bounding	bounding	NOUN
ajst-241	63	76	box	box	NOUN
ajst-241	63	77	in	in	ADP
ajst-241	63	78	the	the	DET
ajst-241	63	79	ith	ith	PROPN
ajst-241	63	80	grid	grid	NOUN
ajst-241	63	81	,	,	PUNCT
ajst-241	63	82	and	and	CCONJ
ajst-241	63	83	yi	yi	PROPN
ajst-241	63	84	is	be	AUX
ajst-241	63	85	the	the	DET
ajst-241	63	86	ith	ith	PROPN
ajst-241	63	87	grid	grid	NOUN
ajst-241	63	88	the	the	DET
ajst-241	63	89	ordinate	ordinate	NOUN
ajst-241	63	90	of	of	ADP
ajst-241	63	91	the	the	DET
ajst-241	63	92	center	center	ADJ
ajst-241	63	93	point	point	NOUN
ajst-241	63	94	of	of	ADP
ajst-241	63	95	the	the	DET
ajst-241	63	96	bounding	bounding	NOUN
ajst-241	63	97	box	box	NOUN
ajst-241	63	98	in	in	ADP
ajst-241	63	99	the	the	DET
ajst-241	63	100	grid	grid	NOUN
ajst-241	63	101	,	,	PUNCT
ajst-241	63	102	wi	wi	PROPN
ajst-241	63	103	is	be	AUX
ajst-241	63	104	the	the	DET
ajst-241	63	105	width	width	NOUN
ajst-241	63	106	of	of	ADP
ajst-241	63	107	the	the	DET
ajst-241	63	108	bounding	bounding	NOUN
ajst-241	63	109	box	box	NOUN
ajst-241	63	110	in	in	ADP
ajst-241	63	111	the	the	DET
ajst-241	63	112	ith	ith	PROPN
ajst-241	63	113	grid	grid	NOUN
ajst-241	63	114	,	,	PUNCT
ajst-241	63	115	hi	hi	INTJ
ajst-241	63	116	is	be	VERB
ajst-241	63	117	the	the	DET
ajst-241	63	118	height	height	NOUN
ajst-241	63	119	of	of	ADP
ajst-241	63	120	the	the	DET
ajst-241	63	121	bounding	bounding	NOUN
ajst-241	63	122	box	box	NOUN
ajst-241	63	123	in	in	ADP
ajst-241	63	124	the	the	DET
ajst-241	63	125	ith	ith	PROPN
ajst-241	63	126	grid	grid	NOUN
ajst-241	63	127	,	,	PUNCT
ajst-241	63	128	λcoord	λcoord	PROPN
ajst-241	63	129	is	be	AUX
ajst-241	63	130	the	the	DET
ajst-241	63	131	weight	weight	NOUN
ajst-241	63	132	coefficient	coefficient	NOUN
ajst-241	63	133	,	,	PUNCT
ajst-241	63	134	and	and	CCONJ
ajst-241	63	135	λnoobj	λnoobj	NOUN
ajst-241	63	136	is	be	AUX
ajst-241	63	137	the	the	DET
ajst-241	63	138	penalty	penalty	NOUN
ajst-241	63	139	weight	weight	NOUN
ajst-241	63	140	coefficient	coefficient	NOUN
ajst-241	63	141	.	.	PUNCT
ajst-241	64	1	3	3	X
ajst-241	64	2	.	.	X
ajst-241	64	3	experimental	experimental	ADJ
ajst-241	64	4	process	process	NOUN
ajst-241	64	5	and	and	CCONJ
ajst-241	64	6	result	result	VERB
ajst-241	64	7	analysis	analysis	NOUN
ajst-241	64	8	3.1	3.1	NUM
ajst-241	64	9	.	.	PUNCT
ajst-241	65	1	data	datum	NOUN
ajst-241	65	2	set	set	VERB
ajst-241	65	3	production	production	NOUN
ajst-241	65	4	the	the	DET
ajst-241	65	5	tablet	tablet	NOUN
ajst-241	65	6	defect	defect	NOUN
ajst-241	65	7	data	datum	NOUN
ajst-241	65	8	set	set	VERB
ajst-241	65	9	is	be	AUX
ajst-241	65	10	produced	produce	VERB
ajst-241	65	11	according	accord	VERB
ajst-241	65	12	to	to	ADP
ajst-241	65	13	the	the	DET
ajst-241	65	14	manual	manual	ADJ
ajst-241	65	15	manufacturing	manufacturing	NOUN
ajst-241	65	16	method	method	NOUN
ajst-241	65	17	in	in	ADP
ajst-241	65	18	the	the	DET
ajst-241	65	19	paper	paper	NOUN
ajst-241	65	20	of	of	ADP
ajst-241	65	21	yang	yang	PROPN
ajst-241	66	1	[	[	X
ajst-241	66	2	11	11	NUM
ajst-241	66	3	]	]	PUNCT
ajst-241	66	4	according	accord	VERB
ajst-241	66	5	to	to	ADP
ajst-241	66	6	the	the	DET
ajst-241	66	7	guidance	guidance	NOUN
ajst-241	66	8	of	of	ADP
ajst-241	66	9	the	the	DET
ajst-241	66	10	workers	worker	NOUN
ajst-241	66	11	of	of	ADP
ajst-241	66	12	the	the	DET
ajst-241	66	13	pharmaceutical	pharmaceutical	NOUN
ajst-241	66	14	enterprise	enterprise	NOUN
ajst-241	66	15	,	,	PUNCT
ajst-241	66	16	and	and	CCONJ
ajst-241	66	17	then	then	ADV
ajst-241	66	18	the	the	DET
ajst-241	66	19	defect	defect	NOUN
ajst-241	66	20	images	image	NOUN
ajst-241	66	21	are	be	AUX
ajst-241	66	22	collected	collect	VERB
ajst-241	66	23	by	by	ADP
ajst-241	66	24	industrial	industrial	ADJ
ajst-241	66	25	cameras	camera	NOUN
ajst-241	66	26	.	.	PUNCT
ajst-241	67	1	the	the	DET
ajst-241	67	2	types	type	NOUN
ajst-241	67	3	of	of	ADP
ajst-241	67	4	defects	defect	NOUN
ajst-241	67	5	are	be	AUX
ajst-241	67	6	mainly	mainly	ADV
ajst-241	67	7	divided	divide	VERB
ajst-241	67	8	into	into	ADP
ajst-241	67	9	three	three	NUM
ajst-241	67	10	categories	category	NOUN
ajst-241	67	11	:	:	PUNCT
ajst-241	67	12	stains	stain	NOUN
ajst-241	67	13	,	,	PUNCT
ajst-241	67	14	scratches	scratch	NOUN
ajst-241	67	15	,	,	PUNCT
ajst-241	67	16	and	and	CCONJ
ajst-241	67	17	missing	miss	VERB
ajst-241	67	18	,	,	PUNCT
ajst-241	67	19	such	such	ADJ
ajst-241	67	20	as	as	SCONJ
ajst-241	67	21	shown	show	VERB
ajst-241	67	22	in	in	ADP
ajst-241	67	23	figure	figure	NOUN
ajst-241	67	24	4	4	NUM
ajst-241	67	25	.	.	PUNCT
ajst-241	67	26	23	23	NUM
ajst-241	67	27	figure	figure	NOUN
ajst-241	67	28	3	3	NUM
ajst-241	67	29	.	.	PUNCT
ajst-241	67	30	data	datum	NOUN
ajst-241	67	31	image	image	VERB
ajst-241	67	32	the	the	DET
ajst-241	67	33	classification	classification	NOUN
ajst-241	67	34	of	of	ADP
ajst-241	67	35	the	the	DET
ajst-241	67	36	dataset	dataset	NOUN
ajst-241	67	37	is	be	AUX
ajst-241	67	38	shown	show	VERB
ajst-241	67	39	in	in	ADP
ajst-241	67	40	table	table	NOUN
ajst-241	67	41	2	2	NUM
ajst-241	67	42	.	.	PUNCT
ajst-241	68	1	the	the	DET
ajst-241	68	2	label	label	NOUN
ajst-241	68	3	of	of	ADP
ajst-241	68	4	the	the	DET
ajst-241	68	5	dataset	dataset	NOUN
ajst-241	68	6	is	be	AUX
ajst-241	68	7	implemented	implement	VERB
ajst-241	68	8	by	by	ADP
ajst-241	68	9	labelimg	labelimg	ADJ
ajst-241	68	10	software	software	NOUN
ajst-241	68	11	.	.	PUNCT
ajst-241	69	1	the	the	DET
ajst-241	69	2	stain	stain	NOUN
ajst-241	69	3	class	class	NOUN
ajst-241	69	4	is	be	AUX
ajst-241	69	5	marked	mark	VERB
ajst-241	69	6	as	as	ADP
ajst-241	69	7	dirty	dirty	ADJ
ajst-241	69	8	,	,	PUNCT
ajst-241	69	9	the	the	DET
ajst-241	69	10	missing	miss	VERB
ajst-241	69	11	class	class	NOUN
ajst-241	69	12	is	be	AUX
ajst-241	69	13	marked	mark	VERB
ajst-241	69	14	as	as	ADP
ajst-241	69	15	missed	miss	VERB
ajst-241	69	16	,	,	PUNCT
ajst-241	69	17	and	and	CCONJ
ajst-241	69	18	the	the	DET
ajst-241	69	19	scratch	scratch	NOUN
ajst-241	69	20	class	class	NOUN
ajst-241	69	21	is	be	AUX
ajst-241	69	22	marked	mark	VERB
ajst-241	69	23	as	as	ADP
ajst-241	69	24	scratch	scratch	NOUN
ajst-241	69	25	.	.	PUNCT
ajst-241	70	1	finally	finally	ADV
ajst-241	70	2	,	,	PUNCT
ajst-241	70	3	the	the	DET
ajst-241	70	4	data	datum	NOUN
ajst-241	70	5	set	set	VERB
ajst-241	70	6	is	be	AUX
ajst-241	70	7	divided	divide	VERB
ajst-241	70	8	into	into	ADP
ajst-241	70	9	training	training	NOUN
ajst-241	70	10	set	set	NOUN
ajst-241	70	11	,	,	PUNCT
ajst-241	70	12	validation	validation	NOUN
ajst-241	70	13	set	set	NOUN
ajst-241	70	14	and	and	CCONJ
ajst-241	70	15	test	test	NOUN
ajst-241	70	16	set	set	VERB
ajst-241	70	17	according	accord	VERB
ajst-241	70	18	to	to	ADP
ajst-241	70	19	8:1:1	8:1:1	NUM
ajst-241	70	20	.	.	PUNCT
ajst-241	71	1	table	table	NOUN
ajst-241	71	2	2	2	NUM
ajst-241	71	3	.	.	PUNCT
ajst-241	71	4	dataset	dataset	VERB
ajst-241	71	5	classification	classification	NOUN
ajst-241	71	6	type	type	NOUN
ajst-241	71	7	quantity	quantity	NOUN
ajst-241	71	8	dirty	dirty	ADJ
ajst-241	71	9	453	453	NUM
ajst-241	71	10	missed	miss	VERB
ajst-241	71	11	300	300	NUM
ajst-241	71	12	scratch	scratch	NOUN
ajst-241	71	13	303	303	NUM
ajst-241	71	14	total	total	NOUN
ajst-241	71	15	1056	1056	NUM
ajst-241	71	16	3.2	3.2	NUM
ajst-241	71	17	.	.	PUNCT
ajst-241	72	1	experimental	experimental	ADJ
ajst-241	72	2	environment	environment	NOUN
ajst-241	72	3	the	the	DET
ajst-241	72	4	experimental	experimental	ADJ
ajst-241	72	5	environment	environment	NOUN
ajst-241	72	6	adopts	adopt	VERB
ajst-241	72	7	the	the	DET
ajst-241	72	8	linux	linux	PROPN
ajst-241	72	9	operating	operating	NOUN
ajst-241	72	10	system	system	NOUN
ajst-241	72	11	.	.	PUNCT
ajst-241	73	1	processor	processor	NOUN
ajst-241	73	2	:	:	PUNCT
ajst-241	73	3	intel(r	intel(r	PROPN
ajst-241	73	4	)	)	PUNCT
ajst-241	73	5	xeon(r	xeon(r	PROPN
ajst-241	73	6	)	)	PUNCT
ajst-241	73	7	cpu	cpu	NOUN
ajst-241	73	8	e5	e5	PROPN
ajst-241	73	9	-	-	PUNCT
ajst-241	73	10	2680	2680	NUM
ajst-241	73	11	v4	v4	NOUN
ajst-241	73	12	@	@	ADP
ajst-241	73	13	2.40ghz	2.40ghz	NUM
ajst-241	73	14	,	,	PUNCT
ajst-241	73	15	gpu	gpu	PROPN
ajst-241	73	16	:	:	PUNCT
ajst-241	73	17	rtx	rtx	PROPN
ajst-241	73	18	3060	3060	NUM
ajst-241	73	19	12.6	12.6	NUM
ajst-241	73	20	gb	gb	NOUN
ajst-241	73	21	,	,	PUNCT
ajst-241	73	22	ram	ram	NOUN
ajst-241	73	23	:	:	PUNCT
ajst-241	73	24	30.1	30.1	NUM
ajst-241	73	25	gb	gb	ADP
ajst-241	73	26	solid	solid	ADJ
ajst-241	73	27	state	state	NOUN
ajst-241	73	28	drive	drive	NOUN
ajst-241	73	29	:	:	PUNCT
ajst-241	73	30	483.2	483.2	NUM
ajst-241	73	31	gb	gb	ADP
ajst-241	73	32	3.3	3.3	NUM
ajst-241	73	33	.	.	PUNCT
ajst-241	74	1	training	training	NOUN
ajst-241	74	2	process	process	NOUN
ajst-241	74	3	the	the	DET
ajst-241	74	4	initialization	initialization	NOUN
ajst-241	74	5	parameters	parameter	NOUN
ajst-241	74	6	momentum	momentum	NOUN
ajst-241	74	7	of	of	ADP
ajst-241	74	8	the	the	DET
ajst-241	74	9	training	training	NOUN
ajst-241	74	10	model	model	NOUN
ajst-241	74	11	are	be	AUX
ajst-241	74	12	set	set	VERB
ajst-241	74	13	to	to	ADP
ajst-241	74	14	0.9	0.9	NUM
ajst-241	74	15	,	,	PUNCT
ajst-241	74	16	decay	decay	VERB
ajst-241	74	17	to	to	ADP
ajst-241	74	18	0.0005	0.0005	NUM
ajst-241	74	19	,	,	PUNCT
ajst-241	74	20	batch	batch	NOUN
ajst-241	74	21	size	size	NOUN
ajst-241	74	22	to	to	ADP
ajst-241	74	23	16	16	NUM
ajst-241	74	24	,	,	PUNCT
ajst-241	74	25	using	use	VERB
ajst-241	74	26	mini	mini	NOUN
ajst-241	74	27	-	-	NOUN
ajst-241	74	28	batch	batch	ADJ
ajst-241	74	29	stochastic	stochastic	ADJ
ajst-241	74	30	gradient	gradient	ADJ
ajst-241	74	31	descent	descent	NOUN
ajst-241	74	32	for	for	ADP
ajst-241	74	33	optimization	optimization	NOUN
ajst-241	74	34	,	,	PUNCT
ajst-241	74	35	the	the	DET
ajst-241	74	36	initial	initial	ADJ
ajst-241	74	37	learning	learning	NOUN
ajst-241	74	38	rate	rate	NOUN
ajst-241	74	39	(	(	PUNCT
ajst-241	74	40	learning	learn	VERB
ajst-241	74	41	rate	rate	NOUN
ajst-241	74	42	)	)	PUNCT
ajst-241	74	43	is	be	AUX
ajst-241	74	44	0.001	0.001	NUM
ajst-241	74	45	,	,	PUNCT
ajst-241	74	46	epoch	epoch	NOUN
ajst-241	74	47	set	set	VERB
ajst-241	74	48	to	to	ADP
ajst-241	74	49	100	100	NUM
ajst-241	74	50	.	.	PUNCT
ajst-241	75	1	the	the	DET
ajst-241	75	2	change	change	NOUN
ajst-241	75	3	trend	trend	NOUN
ajst-241	75	4	of	of	ADP
ajst-241	75	5	training	training	NOUN
ajst-241	75	6	loss	loss	NOUN
ajst-241	75	7	is	be	AUX
ajst-241	75	8	shown	show	VERB
ajst-241	75	9	in	in	ADP
ajst-241	75	10	figure	figure	NOUN
ajst-241	75	11	5	5	NUM
ajst-241	75	12	.	.	PUNCT
ajst-241	76	1	the	the	DET
ajst-241	76	2	loss	loss	NOUN
ajst-241	76	3	fluctuated	fluctuate	VERB
ajst-241	76	4	in	in	ADP
ajst-241	76	5	the	the	DET
ajst-241	76	6	50th	50th	ADJ
ajst-241	76	7	round	round	NOUN
ajst-241	76	8	because	because	SCONJ
ajst-241	76	9	the	the	DET
ajst-241	76	10	trunk	trunk	NOUN
ajst-241	76	11	was	be	AUX
ajst-241	76	12	frozen	freeze	VERB
ajst-241	76	13	in	in	ADP
ajst-241	76	14	the	the	DET
ajst-241	76	15	first	first	ADJ
ajst-241	76	16	50	50	NUM
ajst-241	76	17	rounds	round	NOUN
ajst-241	76	18	,	,	PUNCT
ajst-241	76	19	and	and	CCONJ
ajst-241	76	20	the	the	DET
ajst-241	76	21	thaw	thaw	NOUN
ajst-241	76	22	training	training	NOUN
ajst-241	76	23	began	begin	VERB
ajst-241	76	24	in	in	ADP
ajst-241	76	25	the	the	DET
ajst-241	76	26	51st	51st	ADJ
ajst-241	76	27	round	round	NOUN
ajst-241	76	28	,	,	PUNCT
ajst-241	76	29	which	which	PRON
ajst-241	76	30	improved	improve	VERB
ajst-241	76	31	both	both	DET
ajst-241	76	32	time	time	NOUN
ajst-241	76	33	and	and	CCONJ
ajst-241	76	34	resource	resource	NOUN
ajst-241	76	35	utilization	utilization	NOUN
ajst-241	76	36	.	.	PUNCT
ajst-241	77	1	after	after	SCONJ
ajst-241	77	2	the	the	DET
ajst-241	77	3	training	training	NOUN
ajst-241	77	4	is	be	AUX
ajst-241	77	5	completed	complete	VERB
ajst-241	77	6	,	,	PUNCT
ajst-241	77	7	the	the	DET
ajst-241	77	8	weight	weight	NOUN
ajst-241	77	9	with	with	ADP
ajst-241	77	10	the	the	DET
ajst-241	77	11	smallest	small	ADJ
ajst-241	77	12	loss	loss	NOUN
ajst-241	77	13	value	value	NOUN
ajst-241	77	14	is	be	AUX
ajst-241	77	15	used	use	VERB
ajst-241	77	16	as	as	ADP
ajst-241	77	17	the	the	DET
ajst-241	77	18	final	final	ADJ
ajst-241	77	19	weight	weight	NOUN
ajst-241	77	20	to	to	PART
ajst-241	77	21	detect	detect	VERB
ajst-241	77	22	the	the	DET
ajst-241	77	23	tablet	tablet	NOUN
ajst-241	77	24	defect	defect	NOUN
ajst-241	77	25	images	image	NOUN
ajst-241	77	26	.	.	PUNCT
ajst-241	78	1	24	24	NUM
ajst-241	78	2	figure	figure	NOUN
ajst-241	78	3	4	4	NUM
ajst-241	78	4	training	training	NOUN
ajst-241	78	5	loss	loss	NOUN
ajst-241	78	6	3.4	3.4	NUM
ajst-241	78	7	.	.	PUNCT
ajst-241	78	8	analysis	analysis	NOUN
ajst-241	78	9	of	of	ADP
ajst-241	78	10	results	result	NOUN
ajst-241	78	11	after	after	SCONJ
ajst-241	78	12	the	the	DET
ajst-241	78	13	network	network	NOUN
ajst-241	78	14	model	model	NOUN
ajst-241	78	15	is	be	AUX
ajst-241	78	16	trained	train	VERB
ajst-241	78	17	,	,	PUNCT
ajst-241	78	18	save	save	VERB
ajst-241	78	19	the	the	DET
ajst-241	78	20	weight	weight	NOUN
ajst-241	78	21	with	with	ADP
ajst-241	78	22	the	the	DET
ajst-241	78	23	lowest	low	ADJ
ajst-241	78	24	loss	loss	NOUN
ajst-241	78	25	value	value	NOUN
ajst-241	78	26	,	,	PUNCT
ajst-241	78	27	and	and	CCONJ
ajst-241	78	28	then	then	ADV
ajst-241	78	29	input	input	VERB
ajst-241	78	30	the	the	DET
ajst-241	78	31	pre	pre	ADJ
ajst-241	78	32	-	-	ADJ
ajst-241	78	33	detected	detected	ADJ
ajst-241	78	34	image	image	NOUN
ajst-241	78	35	into	into	ADP
ajst-241	78	36	it	it	PRON
ajst-241	78	37	,	,	PUNCT
ajst-241	78	38	and	and	CCONJ
ajst-241	78	39	finally	finally	ADV
ajst-241	78	40	get	get	VERB
ajst-241	78	41	the	the	DET
ajst-241	78	42	detection	detection	NOUN
ajst-241	78	43	result	result	VERB
ajst-241	78	44	.	.	PUNCT
ajst-241	79	1	the	the	DET
ajst-241	79	2	test	test	NOUN
ajst-241	79	3	result	result	NOUN
ajst-241	79	4	is	be	AUX
ajst-241	79	5	shown	show	VERB
ajst-241	79	6	in	in	ADP
ajst-241	79	7	figure	figure	NOUN
ajst-241	79	8	6	6	NUM
ajst-241	79	9	.	.	PUNCT
ajst-241	80	1	figure	figure	NOUN
ajst-241	80	2	5	5	NUM
ajst-241	80	3	.	.	PUNCT
ajst-241	80	4	test	test	NOUN
ajst-241	80	5	results	result	VERB
ajst-241	80	6	the	the	DET
ajst-241	80	7	mean	mean	ADJ
ajst-241	80	8	average	average	ADJ
ajst-241	80	9	precision	precision	NOUN
ajst-241	80	10	(	(	PUNCT
ajst-241	80	11	map	map	NOUN
ajst-241	80	12	)	)	PUNCT
ajst-241	80	13	calculated	calculate	VERB
ajst-241	80	14	by	by	ADP
ajst-241	80	15	the	the	DET
ajst-241	80	16	precision	precision	NOUN
ajst-241	80	17	rate	rate	NOUN
ajst-241	80	18	p	p	NOUN
ajst-241	80	19	(	(	PUNCT
ajst-241	80	20	precision	precision	NOUN
ajst-241	80	21	)	)	PUNCT
ajst-241	80	22	and	and	CCONJ
ajst-241	80	23	the	the	DET
ajst-241	80	24	recall	recall	NOUN
ajst-241	80	25	rate	rate	NOUN
ajst-241	80	26	r	r	NOUN
ajst-241	80	27	(	(	PUNCT
ajst-241	80	28	recall	recall	NOUN
ajst-241	80	29	)	)	PUNCT
ajst-241	80	30	is	be	AUX
ajst-241	80	31	used	use	VERB
ajst-241	80	32	as	as	ADP
ajst-241	80	33	the	the	DET
ajst-241	80	34	performance	performance	NOUN
ajst-241	80	35	evaluation	evaluation	NOUN
ajst-241	80	36	standard	standard	NOUN
ajst-241	80	37	of	of	ADP
ajst-241	80	38	the	the	DET
ajst-241	80	39	network	network	NOUN
ajst-241	80	40	model	model	NOUN
ajst-241	80	41	.	.	PUNCT
ajst-241	81	1	map	map	NOUN
ajst-241	81	2	is	be	AUX
ajst-241	81	3	the	the	DET
ajst-241	81	4	average	average	NOUN
ajst-241	81	5	of	of	ADP
ajst-241	81	6	the	the	DET
ajst-241	81	7	average	average	ADJ
ajst-241	81	8	detection	detection	NOUN
ajst-241	81	9	accuracy	accuracy	NOUN
ajst-241	81	10	across	across	ADP
ajst-241	81	11	all	all	DET
ajst-241	81	12	categories	category	NOUN
ajst-241	81	13	and	and	CCONJ
ajst-241	81	14	is	be	AUX
ajst-241	81	15	used	use	VERB
ajst-241	81	16	to	to	PART
ajst-241	81	17	evaluate	evaluate	VERB
ajst-241	81	18	the	the	DET
ajst-241	81	19	overall	overall	ADJ
ajst-241	81	20	performance	performance	NOUN
ajst-241	81	21	of	of	ADP
ajst-241	81	22	the	the	DET
ajst-241	81	23	detection	detection	NOUN
ajst-241	81	24	model	model	NOUN
ajst-241	81	25	.	.	PUNCT
ajst-241	82	1	p	p	X
ajst-241	82	2	,	,	PUNCT
ajst-241	82	3	r	r	NOUN
ajst-241	82	4	and	and	CCONJ
ajst-241	82	5	map	map	NOUN
ajst-241	82	6	are	be	AUX
ajst-241	82	7	calculated	calculate	VERB
ajst-241	82	8	as	as	SCONJ
ajst-241	82	9	follows	follow	VERB
ajst-241	82	10	:	:	PUNCT
ajst-241	82	11	(	(	PUNCT
ajst-241	82	12	3	3	X
ajst-241	82	13	)	)	PUNCT
ajst-241	82	14	(	(	PUNCT
ajst-241	82	15	4	4	NUM
ajst-241	82	16	)	)	PUNCT
ajst-241	82	17	25	25	NUM
ajst-241	82	18	in	in	ADP
ajst-241	82	19	the	the	DET
ajst-241	82	20	formula	formula	NOUN
ajst-241	82	21	,	,	PUNCT
ajst-241	82	22	tp	tp	NOUN
ajst-241	82	23	represents	represent	VERB
ajst-241	82	24	the	the	DET
ajst-241	82	25	number	number	NOUN
ajst-241	82	26	of	of	ADP
ajst-241	82	27	positive	positive	ADJ
ajst-241	82	28	samples	sample	NOUN
ajst-241	82	29	that	that	PRON
ajst-241	82	30	are	be	AUX
ajst-241	82	31	correctly	correctly	ADV
ajst-241	82	32	identified	identify	VERB
ajst-241	82	33	as	as	ADP
ajst-241	82	34	positive	positive	ADJ
ajst-241	82	35	samples	sample	NOUN
ajst-241	82	36	,	,	PUNCT
ajst-241	82	37	fp	fp	X
ajst-241	82	38	represents	represent	VERB
ajst-241	82	39	the	the	DET
ajst-241	82	40	number	number	NOUN
ajst-241	82	41	of	of	ADP
ajst-241	82	42	negative	negative	ADJ
ajst-241	82	43	samples	sample	NOUN
ajst-241	82	44	that	that	PRON
ajst-241	82	45	are	be	AUX
ajst-241	82	46	incorrectly	incorrectly	ADV
ajst-241	82	47	identified	identify	VERB
ajst-241	82	48	as	as	ADP
ajst-241	82	49	positive	positive	ADJ
ajst-241	82	50	samples	sample	NOUN
ajst-241	82	51	,	,	PUNCT
ajst-241	82	52	and	and	CCONJ
ajst-241	82	53	fn	fn	NOUN
ajst-241	82	54	represents	represent	VERB
ajst-241	82	55	the	the	DET
ajst-241	82	56	number	number	NOUN
ajst-241	82	57	of	of	ADP
ajst-241	82	58	positive	positive	ADJ
ajst-241	82	59	samples	sample	NOUN
ajst-241	82	60	that	that	PRON
ajst-241	82	61	are	be	AUX
ajst-241	82	62	incorrectly	incorrectly	ADV
ajst-241	82	63	identified	identify	VERB
ajst-241	82	64	as	as	ADP
ajst-241	82	65	negative	negative	ADJ
ajst-241	82	66	samples	sample	NOUN
ajst-241	82	67	.	.	PUNCT
ajst-241	83	1	ap	ap	PROPN
ajst-241	83	2	is	be	AUX
ajst-241	83	3	expressed	express	VERB
ajst-241	83	4	as	as	ADP
ajst-241	83	5	the	the	DET
ajst-241	83	6	area	area	NOUN
ajst-241	83	7	under	under	ADP
ajst-241	83	8	the	the	DET
ajst-241	83	9	precision	precision	NOUN
ajst-241	83	10	and	and	CCONJ
ajst-241	83	11	recall	recall	NOUN
ajst-241	83	12	curves	curve	NOUN
ajst-241	83	13	,	,	PUNCT
ajst-241	83	14	and	and	CCONJ
ajst-241	83	15	map	map	NOUN
ajst-241	83	16	is	be	AUX
ajst-241	83	17	expressed	express	VERB
ajst-241	83	18	as	as	ADP
ajst-241	83	19	the	the	DET
ajst-241	83	20	mean	mean	NOUN
ajst-241	83	21	of	of	ADP
ajst-241	83	22	various	various	ADJ
ajst-241	83	23	aps	ap	NOUN
ajst-241	83	24	.	.	PUNCT
ajst-241	84	1	the	the	DET
ajst-241	84	2	formula	formula	NOUN
ajst-241	84	3	is	be	AUX
ajst-241	84	4	as	as	SCONJ
ajst-241	84	5	follows	follow	VERB
ajst-241	84	6	:	:	PUNCT
ajst-241	84	7	(	(	PUNCT
ajst-241	84	8	5	5	NUM
ajst-241	84	9	)	)	PUNCT
ajst-241	84	10	(	(	PUNCT
ajst-241	84	11	6	6	NUM
ajst-241	84	12	)	)	PUNCT
ajst-241	84	13	in	in	ADP
ajst-241	84	14	formula	formula	NOUN
ajst-241	84	15	(	(	PUNCT
ajst-241	84	16	5	5	NUM
ajst-241	84	17	)	)	PUNCT
ajst-241	84	18	,	,	PUNCT
ajst-241	84	19	r1	r1	PROPN
ajst-241	84	20	,	,	PUNCT
ajst-241	84	21	r2	r2	PROPN
ajst-241	84	22	...	...	PUNCT
ajst-241	84	23	rn	rn	PROPN
ajst-241	84	24	are	be	AUX
ajst-241	84	25	the	the	DET
ajst-241	84	26	recall	recall	NOUN
ajst-241	84	27	values	value	NOUN
ajst-241	84	28	corresponding	correspond	VERB
ajst-241	84	29	to	to	ADP
ajst-241	84	30	the	the	DET
ajst-241	84	31	first	first	ADJ
ajst-241	84	32	interpolation	interpolation	NOUN
ajst-241	84	33	in	in	ADP
ajst-241	84	34	the	the	DET
ajst-241	84	35	precision	precision	NOUN
ajst-241	84	36	interpolation	interpolation	NOUN
ajst-241	84	37	segment	segment	NOUN
ajst-241	84	38	arranged	arrange	VERB
ajst-241	84	39	in	in	ADP
ajst-241	84	40	ascending	ascend	VERB
ajst-241	84	41	order	order	NOUN
ajst-241	84	42	,	,	PUNCT
ajst-241	84	43	and	and	CCONJ
ajst-241	84	44	in	in	ADP
ajst-241	84	45	formula	formula	NOUN
ajst-241	84	46	(	(	PUNCT
ajst-241	84	47	6	6	NUM
ajst-241	84	48	)	)	PUNCT
ajst-241	84	49	,	,	PUNCT
ajst-241	84	50	k	k	PROPN
ajst-241	84	51	represents	represent	VERB
ajst-241	84	52	the	the	DET
ajst-241	84	53	number	number	NOUN
ajst-241	84	54	of	of	ADP
ajst-241	84	55	categories	category	NOUN
ajst-241	84	56	.	.	PUNCT
ajst-241	85	1	table	table	NOUN
ajst-241	85	2	3	3	NUM
ajst-241	85	3	.	.	PUNCT
ajst-241	85	4	comparison	comparison	NOUN
ajst-241	85	5	of	of	ADP
ajst-241	85	6	different	different	ADJ
ajst-241	85	7	detection	detection	NOUN
ajst-241	85	8	frameworks	framework	NOUN
ajst-241	85	9	detection	detection	NOUN
ajst-241	85	10	framework	framework	NOUN
ajst-241	85	11	map/	map/	NOUN
ajst-241	85	12	%	%	NOUN
ajst-241	85	13	frame	frame	NOUN
ajst-241	85	14	rate	rate	NOUN
ajst-241	85	15	/(frame	/(frame	PUNCT
ajst-241	85	16	·	·	PUNCT
ajst-241	85	17	s-1	s-1	NOUN
ajst-241	85	18	)	)	PUNCT
ajst-241	86	1	yolov3	yolov3	PROPN
ajst-241	86	2	92.97	92.97	NUM
ajst-241	86	3	43.9	43.9	NUM
ajst-241	86	4	ssd	ssd	NOUN
ajst-241	86	5	85.52	85.52	NUM
ajst-241	86	6	48.8	48.8	NUM
ajst-241	86	7	faster	fast	ADJ
ajst-241	86	8	r	r	NOUN
ajst-241	86	9	-	-	PUNCT
ajst-241	86	10	cnn	cnn	PROPN
ajst-241	86	11	89.70	89.70	NUM
ajst-241	86	12	23.8	23.8	NUM
ajst-241	86	13	as	as	SCONJ
ajst-241	86	14	can	can	AUX
ajst-241	86	15	be	be	AUX
ajst-241	86	16	seen	see	VERB
ajst-241	86	17	from	from	ADP
ajst-241	86	18	table	table	NOUN
ajst-241	86	19	3	3	NUM
ajst-241	86	20	,	,	PUNCT
ajst-241	86	21	the	the	DET
ajst-241	86	22	accuracy	accuracy	NOUN
ajst-241	86	23	of	of	ADP
ajst-241	86	24	yolov3	yolov3	PROPN
ajst-241	86	25	is	be	AUX
ajst-241	86	26	higher	high	ADJ
ajst-241	86	27	than	than	ADP
ajst-241	86	28	that	that	PRON
ajst-241	86	29	of	of	ADP
ajst-241	86	30	ssd	ssd	NOUN
ajst-241	86	31	and	and	CCONJ
ajst-241	86	32	faster	fast	ADJ
ajst-241	86	33	r	r	NOUN
ajst-241	86	34	-	-	NOUN
ajst-241	86	35	cnn	cnn	NOUN
ajst-241	86	36	in	in	ADP
ajst-241	86	37	the	the	DET
ajst-241	86	38	detection	detection	NOUN
ajst-241	86	39	of	of	ADP
ajst-241	86	40	surface	surface	NOUN
ajst-241	86	41	defects	defect	NOUN
ajst-241	86	42	of	of	ADP
ajst-241	86	43	tablets	tablet	NOUN
ajst-241	86	44	;	;	PUNCT
ajst-241	86	45	in	in	ADP
ajst-241	86	46	terms	term	NOUN
ajst-241	86	47	of	of	ADP
ajst-241	86	48	detection	detection	NOUN
ajst-241	86	49	speed	speed	NOUN
ajst-241	86	50	,	,	PUNCT
ajst-241	86	51	yolov3	yolov3	PROPN
ajst-241	86	52	and	and	CCONJ
ajst-241	86	53	ssd	ssd	PROPN
ajst-241	86	54	are	be	AUX
ajst-241	86	55	two	two	NUM
ajst-241	86	56	-	-	PUNCT
ajst-241	86	57	stage	stage	NOUN
ajst-241	86	58	detection	detection	NOUN
ajst-241	86	59	algorithms	algorithm	NOUN
ajst-241	86	60	and	and	CCONJ
ajst-241	86	61	two	two	NUM
ajst-241	86	62	-	-	PUNCT
ajst-241	86	63	stage	stage	NOUN
ajst-241	86	64	detection	detection	NOUN
ajst-241	86	65	algorithm	algorithm	NOUN
ajst-241	86	66	faster	fast	ADV
ajst-241	86	67	r	r	NOUN
ajst-241	86	68	-	-	PUNCT
ajst-241	86	69	cnn	cnn	PROPN
ajst-241	86	70	.	.	PUNCT
ajst-241	87	1	compared	compare	VERB
ajst-241	87	2	with	with	ADP
ajst-241	87	3	cnn	cnn	PROPN
ajst-241	87	4	,	,	PUNCT
ajst-241	87	5	it	it	PRON
ajst-241	87	6	shows	show	VERB
ajst-241	87	7	the	the	DET
ajst-241	87	8	advantage	advantage	NOUN
ajst-241	87	9	of	of	ADP
ajst-241	87	10	speed	speed	NOUN
ajst-241	87	11	.	.	PUNCT
ajst-241	88	1	although	although	SCONJ
ajst-241	88	2	yolov3	yolov3	PROPN
ajst-241	88	3	is	be	AUX
ajst-241	88	4	slightly	slightly	ADV
ajst-241	88	5	lower	low	ADJ
ajst-241	88	6	than	than	ADP
ajst-241	88	7	ssd	ssd	NOUN
ajst-241	88	8	in	in	ADP
ajst-241	88	9	frame	frame	NOUN
ajst-241	88	10	rate	rate	NOUN
ajst-241	88	11	,	,	PUNCT
ajst-241	88	12	its	its	PRON
ajst-241	88	13	detection	detection	NOUN
ajst-241	88	14	accuracy	accuracy	NOUN
ajst-241	88	15	can	can	AUX
ajst-241	88	16	reach	reach	VERB
ajst-241	88	17	92.97	92.97	NUM
ajst-241	88	18	%	%	NOUN
ajst-241	88	19	,	,	PUNCT
ajst-241	88	20	so	so	CCONJ
ajst-241	88	21	yolov3	yolov3	PROPN
ajst-241	88	22	is	be	AUX
ajst-241	88	23	more	more	ADV
ajst-241	88	24	applicable	applicable	ADJ
ajst-241	88	25	.	.	PUNCT
ajst-241	89	1	4	4	X
ajst-241	89	2	.	.	X
ajst-241	89	3	conclusions	conclusion	NOUN
ajst-241	89	4	in	in	ADP
ajst-241	89	5	order	order	NOUN
ajst-241	89	6	to	to	PART
ajst-241	89	7	solve	solve	VERB
ajst-241	89	8	the	the	DET
ajst-241	89	9	problem	problem	NOUN
ajst-241	89	10	of	of	ADP
ajst-241	89	11	difficulty	difficulty	NOUN
ajst-241	89	12	and	and	CCONJ
ajst-241	89	13	low	low	ADJ
ajst-241	89	14	efficiency	efficiency	NOUN
ajst-241	89	15	in	in	ADP
ajst-241	89	16	the	the	DET
ajst-241	89	17	detection	detection	NOUN
ajst-241	89	18	of	of	ADP
ajst-241	89	19	surface	surface	NOUN
ajst-241	89	20	defects	defect	NOUN
ajst-241	89	21	of	of	ADP
ajst-241	89	22	tablets	tablet	NOUN
ajst-241	89	23	by	by	ADP
ajst-241	89	24	manual	manual	ADJ
ajst-241	89	25	and	and	CCONJ
ajst-241	89	26	traditional	traditional	ADJ
ajst-241	89	27	machine	machine	NOUN
ajst-241	89	28	vision	vision	NOUN
ajst-241	89	29	technology	technology	NOUN
ajst-241	89	30	,	,	PUNCT
ajst-241	89	31	yolov3	yolov3	PROPN
ajst-241	89	32	target	target	NOUN
ajst-241	89	33	detection	detection	NOUN
ajst-241	89	34	algorithm	algorithm	NOUN
ajst-241	89	35	is	be	AUX
ajst-241	89	36	used	use	VERB
ajst-241	89	37	to	to	PART
ajst-241	89	38	detect	detect	VERB
ajst-241	89	39	surface	surface	NOUN
ajst-241	89	40	defects	defect	NOUN
ajst-241	89	41	of	of	ADP
ajst-241	89	42	tablets	tablet	NOUN
ajst-241	89	43	.	.	PUNCT
ajst-241	90	1	it	it	PRON
ajst-241	90	2	can	can	AUX
ajst-241	90	3	reach	reach	VERB
ajst-241	90	4	43.9/(frame	43.9/(frame	PROPN
ajst-241	90	5	s-1	s-1	NOUN
ajst-241	90	6	)	)	PUNCT
ajst-241	90	7	,	,	PUNCT
ajst-241	90	8	which	which	PRON
ajst-241	90	9	is	be	AUX
ajst-241	90	10	more	more	ADV
ajst-241	90	11	applicable	applicable	ADJ
ajst-241	90	12	than	than	ADP
ajst-241	90	13	ssd	ssd	ADJ
ajst-241	90	14	and	and	CCONJ
ajst-241	90	15	faster	fast	ADJ
ajst-241	90	16	r	r	NOUN
ajst-241	90	17	-	-	PUNCT
ajst-241	90	18	cnn	cnn	PROPN
ajst-241	90	19	.	.	PUNCT
ajst-241	91	1	acknowledgment	acknowledgment	NOUN
ajst-241	91	2	this	this	DET
ajst-241	91	3	work	work	NOUN
ajst-241	91	4	was	be	AUX
ajst-241	91	5	financially	financially	ADV
ajst-241	91	6	supported	support	VERB
ajst-241	91	7	by	by	ADP
ajst-241	91	8	postgraduate	postgraduate	NOUN
ajst-241	91	9	innovative	innovative	ADJ
ajst-241	91	10	project	project	NOUN
ajst-241	91	11	of	of	ADP
ajst-241	91	12	southwest	southwest	PROPN
ajst-241	91	13	minzu	minzu	PROPN
ajst-241	91	14	university	university	PROPN
ajst-241	91	15	fund(no.cx2021225	fund(no.cx2021225	PROPN
ajst-241	91	16	)	)	PUNCT
ajst-241	91	17	.	.	PUNCT
ajst-241	92	1	references	reference	NOUN
ajst-241	92	2	[	[	X
ajst-241	92	3	1	1	NUM
ajst-241	92	4	]	]	PUNCT
ajst-241	92	5	hu	hu	PROPN
ajst-241	92	6	anxiang	anxiang	PROPN
ajst-241	92	7	.	.	PUNCT
ajst-241	93	1	research	research	NOUN
ajst-241	93	2	on	on	ADP
ajst-241	93	3	the	the	DET
ajst-241	93	4	key	key	ADJ
ajst-241	93	5	technology	technology	NOUN
ajst-241	93	6	of	of	ADP
ajst-241	93	7	defective	defective	ADJ
ajst-241	93	8	tablet	tablet	NOUN
ajst-241	93	9	detection	detection	NOUN
ajst-241	93	10	based	base	VERB
ajst-241	93	11	on	on	ADP
ajst-241	93	12	machine	machine	NOUN
ajst-241	93	13	vision	vision	NOUN
ajst-241	94	1	[	[	X
ajst-241	94	2	d	d	X
ajst-241	94	3	]	]	X
ajst-241	94	4	.	.	PUNCT
ajst-241	95	1	shandong	shandong	PROPN
ajst-241	95	2	university	university	PROPN
ajst-241	95	3	.	.	PUNCT
ajst-241	96	1	[	[	X
ajst-241	96	2	2	2	NUM
ajst-241	96	3	]	]	PUNCT
ajst-241	96	4	yao	yao	PROPN
ajst-241	96	5	jiangtao	jiangtao	PROPN
ajst-241	96	6	.	.	PUNCT
ajst-241	97	1	research	research	NOUN
ajst-241	97	2	on	on	ADP
ajst-241	97	3	tablet	tablet	NOUN
ajst-241	97	4	detection	detection	NOUN
ajst-241	97	5	and	and	CCONJ
ajst-241	97	6	recognition	recognition	NOUN
ajst-241	97	7	algorithm	algorithm	NOUN
ajst-241	97	8	based	base	VERB
ajst-241	97	9	on	on	ADP
ajst-241	97	10	machine	machine	NOUN
ajst-241	97	11	vision	vision	NOUN
ajst-241	98	1	[	[	X
ajst-241	98	2	d	d	X
ajst-241	98	3	]	]	X
ajst-241	98	4	.	.	PUNCT
ajst-241	99	1	harbin	harbin	PROPN
ajst-241	99	2	institute	institute	PROPN
ajst-241	99	3	of	of	ADP
ajst-241	99	4	technology	technology	PROPN
ajst-241	99	5	.	.	PUNCT
ajst-241	100	1	[	[	X
ajst-241	100	2	3	3	NUM
ajst-241	100	3	]	]	X
ajst-241	100	4	lecun	lecun	PROPN
ajst-241	100	5	y	y	PROPN
ajst-241	100	6	,	,	PUNCT
ajst-241	100	7	bengio	bengio	PROPN
ajst-241	100	8	y	y	PROPN
ajst-241	100	9	,	,	PUNCT
ajst-241	100	10	hinton	hinton	PROPN
ajst-241	100	11	g	g	PROPN
ajst-241	100	12	.	.	PUNCT
ajst-241	101	1	deep	deep	ADJ
ajst-241	101	2	learning[j	learning[j	PROPN
ajst-241	101	3	]	]	PUNCT
ajst-241	101	4	.	.	PUNCT
ajst-241	102	1	nature	nature	NOUN
ajst-241	102	2	,	,	PUNCT
ajst-241	102	3	2015	2015	NUM
ajst-241	102	4	,	,	PUNCT
ajst-241	102	5	521(7553):436	521(7553):436	NUM
ajst-241	102	6	.	.	PUNCT
ajst-241	103	1	[	[	X
ajst-241	103	2	4	4	X
ajst-241	103	3	]	]	PUNCT
ajst-241	103	4	he	he	PRON
ajst-241	103	5	k	k	NOUN
ajst-241	103	6	,	,	PUNCT
ajst-241	103	7	gkioxari	gkioxari	NOUN
ajst-241	103	8	g	g	NOUN
ajst-241	103	9	,	,	PUNCT
ajst-241	103	10	dollár	dollár	NOUN
ajst-241	103	11	p	p	NOUN
ajst-241	103	12	,	,	PUNCT
ajst-241	103	13	et	et	PROPN
ajst-241	103	14	al	al	PROPN
ajst-241	103	15	.	.	PROPN
ajst-241	103	16	mask	mask	PROPN
ajst-241	103	17	r	r	NOUN
ajst-241	103	18	-	-	PUNCT
ajst-241	103	19	cnn[c	cnn[c	NOUN
ajst-241	103	20	]	]	PUNCT
ajst-241	103	21	.	.	PUNCT
ajst-241	104	1	in	in	ADP
ajst-241	104	2	:	:	PUNCT
ajst-241	104	3	2017	2017	NUM
ajst-241	104	4	ieee	ieee	NOUN
ajst-241	104	5	international	international	ADJ
ajst-241	104	6	conference	conference	NOUN
ajst-241	104	7	on	on	ADP
ajst-241	104	8	computer	computer	NOUN
ajst-241	104	9	vision	vision	NOUN
ajst-241	104	10	(	(	PUNCT
ajst-241	104	11	iccv	iccv	PROPN
ajst-241	104	12	)	)	PUNCT
ajst-241	104	13	,	,	PUNCT
ajst-241	104	14	2017	2017	NUM
ajst-241	104	15	:	:	PUNCT
ajst-241	104	16	2980	2980	NUM
ajst-241	104	17	-	-	SYM
ajst-241	104	18	2988	2988	NUM
ajst-241	104	19	.	.	PUNCT
ajst-241	105	1	[	[	X
ajst-241	105	2	5	5	NUM
ajst-241	105	3	]	]	X
ajst-241	105	4	girshick	girshick	PROPN
ajst-241	105	5	r.	r.	PROPN
ajst-241	105	6	faster	fast	ADV
ajst-241	105	7	r	r	X
ajst-241	105	8	-	-	PUNCT
ajst-241	105	9	cnn[c	cnn[c	NOUN
ajst-241	105	10	]	]	PUNCT
ajst-241	105	11	.	.	PUNCT
ajst-241	106	1	in	in	ADP
ajst-241	106	2	:	:	PUNCT
ajst-241	106	3	proceedings	proceeding	NOUN
ajst-241	106	4	of	of	ADP
ajst-241	106	5	the	the	DET
ajst-241	106	6	ieee	ieee	NOUN
ajst-241	106	7	international	international	PROPN
ajst-241	106	8	conference	conference	NOUN
ajst-241	106	9	on	on	ADP
ajst-241	106	10	computer	computer	NOUN
ajst-241	106	11	vision	vision	NOUN
ajst-241	106	12	,	,	PUNCT
ajst-241	106	13	2015	2015	NUM
ajst-241	106	14	.	.	PUNCT
ajst-241	107	1	[	[	X
ajst-241	107	2	6	6	NUM
ajst-241	107	3	]	]	X
ajst-241	107	4	redmon	redmon	PROPN
ajst-241	107	5	j	j	PROPN
ajst-241	107	6	,	,	PUNCT
ajst-241	107	7	divvala	divvala	PROPN
ajst-241	107	8	s	s	PROPN
ajst-241	107	9	,	,	PUNCT
ajst-241	107	10	girshick	girshick	ADJ
ajst-241	107	11	r	r	NOUN
ajst-241	107	12	,	,	PUNCT
ajst-241	107	13	et	et	PROPN
ajst-241	107	14	al	al	PROPN
ajst-241	107	15	.	.	PUNCT
ajst-241	108	1	you	you	PRON
ajst-241	108	2	only	only	ADV
ajst-241	108	3	look	look	VERB
ajst-241	108	4	once	once	ADV
ajst-241	108	5	:	:	PUNCT
ajst-241	108	6	unified	unified	ADJ
ajst-241	108	7	,	,	PUNCT
ajst-241	108	8	real	real	ADJ
ajst-241	108	9	-	-	PUNCT
ajst-241	108	10	time	time	NOUN
ajst-241	108	11	object	object	NOUN
ajst-241	108	12	detection[c	detection[c	VERB
ajst-241	108	13	]	]	PUNCT
ajst-241	108	14	.	.	PUNCT
ajst-241	109	1	in	in	ADP
ajst-241	109	2	:	:	PUNCT
ajst-241	109	3	proceedings	proceeding	NOUN
ajst-241	109	4	of	of	ADP
ajst-241	109	5	the	the	DET
ajst-241	109	6	ieee	ieee	NOUN
ajst-241	109	7	conference	conference	NOUN
ajst-241	109	8	on	on	ADP
ajst-241	109	9	computer	computer	NOUN
ajst-241	109	10	vision	vision	NOUN
ajst-241	109	11	and	and	CCONJ
ajst-241	109	12	pattern	pattern	NOUN
ajst-241	109	13	recognition	recognition	NOUN
ajst-241	109	14	,	,	PUNCT
ajst-241	109	15	2016	2016	NUM
ajst-241	109	16	.	.	PUNCT
ajst-241	110	1	[	[	X
ajst-241	110	2	7	7	X
ajst-241	110	3	]	]	X
ajst-241	110	4	liu	liu	PROPN
ajst-241	110	5	w	w	PROPN
ajst-241	110	6	,	,	PUNCT
ajst-241	110	7	anguelov	anguelov	NOUN
ajst-241	110	8	d	d	NOUN
ajst-241	110	9	,	,	PUNCT
ajst-241	110	10	erhan	erhan	ADP
ajst-241	110	11	d	d	PROPN
ajst-241	110	12	,	,	PUNCT
ajst-241	110	13	et	et	PROPN
ajst-241	110	14	al	al	PROPN
ajst-241	110	15	.	.	PROPN
ajst-241	110	16	ssd	ssd	PROPN
ajst-241	110	17	:	:	PUNCT
ajst-241	110	18	single	single	ADJ
ajst-241	110	19	shot	shot	NOUN
ajst-241	110	20	multibox	multibox	PROPN
ajst-241	110	21	detector[c	detector[c	PROPN
ajst-241	110	22	]	]	PUNCT
ajst-241	110	23	.	.	PUNCT
ajst-241	111	1	in	in	ADP
ajst-241	111	2	:	:	PUNCT
ajst-241	111	3	proceedings	proceeding	NOUN
ajst-241	111	4	of	of	ADP
ajst-241	111	5	european	european	ADJ
ajst-241	111	6	conference	conference	PROPN
ajst-241	111	7	on	on	ADP
ajst-241	111	8	computer	computer	NOUN
ajst-241	111	9	vision	vision	NOUN
ajst-241	111	10	,	,	PUNCT
ajst-241	111	11	2016	2016	NUM
ajst-241	111	12	.	.	PUNCT
ajst-241	112	1	[	[	X
ajst-241	112	2	8	8	NUM
ajst-241	112	3	]	]	X
ajst-241	112	4	redmon	redmon	PROPN
ajst-241	112	5	j	j	PROPN
ajst-241	112	6	,	,	PUNCT
ajst-241	112	7	farhadi	farhadi	PROPN
ajst-241	112	8	a	a	PRON
ajst-241	112	9	.	.	PUNCT
ajst-241	113	1	yolov3	yolov3	PROPN
ajst-241	113	2	:	:	PUNCT
ajst-241	113	3	an	an	DET
ajst-241	113	4	incremental	incremental	ADJ
ajst-241	113	5	improvement[j	improvement[j	NOUN
ajst-241	113	6	]	]	PUNCT
ajst-241	113	7	.	.	PUNCT
ajst-241	114	1	arxiv	arxiv	PROPN
ajst-241	114	2	e	e	PROPN
ajst-241	114	3	-	-	NOUN
ajst-241	114	4	prints	print	NOUN
ajst-241	114	5	,	,	PUNCT
ajst-241	114	6	2018	2018	NUM
ajst-241	114	7	.	.	PUNCT
ajst-241	115	1	[	[	X
ajst-241	115	2	9	9	NUM
ajst-241	115	3	]	]	PUNCT
ajst-241	115	4	kaiming	kaime	VERB
ajst-241	115	5	he	he	PRON
ajst-241	115	6	,	,	PUNCT
ajst-241	115	7	xiangyu	xiangyu	PROPN
ajst-241	115	8	zhang	zhang	PROPN
ajst-241	115	9	,	,	PUNCT
ajst-241	115	10	shaoqing	shaoqe	VERB
ajst-241	115	11	ren	ren	PROPN
ajst-241	115	12	,	,	PUNCT
ajst-241	115	13	jian	jian	PROPN
ajst-241	115	14	sun	sun	PROPN
ajst-241	115	15	.	.	PUNCT
ajst-241	116	1	[	[	X
ajst-241	116	2	10	10	NUM
ajst-241	116	3	]	]	X
ajst-241	116	4	lin	lin	PROPN
ajst-241	116	5	t	t	PROPN
ajst-241	116	6	y	y	PROPN
ajst-241	116	7	,	,	PUNCT
ajst-241	116	8	dollar	dollar	NOUN
ajst-241	116	9	p	p	NOUN
ajst-241	116	10	,	,	PUNCT
ajst-241	116	11	girshick	girshick	NOUN
ajst-241	116	12	r	r	NOUN
ajst-241	116	13	,	,	PUNCT
ajst-241	116	14	et	et	PROPN
ajst-241	116	15	al	al	PROPN
ajst-241	116	16	.	.	PROPN
ajst-241	117	1	feature	feature	PROPN
ajst-241	117	2	pyramid	pyramid	NOUN
ajst-241	117	3	networks	network	NOUN
ajst-241	117	4	for	for	ADP
ajst-241	117	5	object	object	NOUN
ajst-241	117	6	detection[j	detection[j	PROPN
ajst-241	117	7	]	]	PUNCT
ajst-241	117	8	.	.	PROPN
ajst-241	118	1	2017	2017	NUM
ajst-241	118	2	ieee	ieee	NOUN
ajst-241	118	3	conference	conference	NOUN
ajst-241	118	4	on	on	ADP
ajst-241	118	5	computer	computer	NOUN
ajst-241	118	6	vision	vision	NOUN
ajst-241	118	7	and	and	CCONJ
ajst-241	118	8	pattern	pattern	NOUN
ajst-241	118	9	recognition	recognition	NOUN
ajst-241	118	10	(	(	PUNCT
ajst-241	118	11	cvpr	cvpr	NOUN
ajst-241	118	12	)	)	PUNCT
ajst-241	118	13	,	,	PUNCT
ajst-241	118	14	2017	2017	NUM
ajst-241	118	15	.	.	PUNCT
ajst-241	119	1	[	[	X
ajst-241	119	2	11	11	NUM
ajst-241	119	3	]	]	PUNCT
ajst-241	119	4	yang	yang	PROPN
ajst-241	119	5	xudong	xudong	PROPN
ajst-241	119	6	.	.	PUNCT
ajst-241	120	1	detection	detection	NOUN
ajst-241	120	2	of	of	ADP
ajst-241	120	3	surface	surface	NOUN
ajst-241	120	4	defects	defect	NOUN
ajst-241	120	5	of	of	ADP
ajst-241	120	6	tablets	tablet	NOUN
ajst-241	120	7	based	base	VERB
ajst-241	120	8	on	on	ADP
ajst-241	120	9	deep	deep	ADJ
ajst-241	120	10	learning	learning	NOUN
ajst-241	121	1	[	[	X
ajst-241	121	2	d	d	X
ajst-241	121	3	]	]	X
ajst-241	121	4	.	.	PUNCT
ajst-241	122	1	south	south	PROPN
ajst-241	122	2	china	china	PROPN
ajst-241	122	3	agricultural	agricultural	PROPN
ajst-241	122	4	university	university	PROPN
ajst-241	122	5	.	.	PUNCT