id	sid	tid	token	lemma	pos
ajst-12694	1	1	academic	academic	ADJ
ajst-12694	1	2	journal	journal	NOUN
ajst-12694	1	3	of	of	ADP
ajst-12694	1	4	science	science	NOUN
ajst-12694	1	5	and	and	CCONJ
ajst-12694	1	6	technology	technology	NOUN
ajst-12694	1	7	issn	issn	NOUN
ajst-12694	1	8	:	:	PUNCT
ajst-12694	1	9	2771	2771	NUM
ajst-12694	1	10	-	-	SYM
ajst-12694	1	11	3032	3032	NUM
ajst-12694	1	12	|	|	NOUN
ajst-12694	1	13	vol	vol	NOUN
ajst-12694	1	14	.	.	PROPN
ajst-12694	2	1	7	7	NUM
ajst-12694	2	2	,	,	PUNCT
ajst-12694	2	3	no	no	INTJ
ajst-12694	2	4	.	.	NOUN
ajst-12694	2	5	3	3	NUM
ajst-12694	2	6	,	,	PUNCT
ajst-12694	2	7	2023	2023	NUM
ajst-12694	2	8	10	10	NUM
ajst-12694	2	9	investigating	investigate	VERB
ajst-12694	2	10	lightweight	lightweight	ADJ
ajst-12694	2	11	transformer	transformer	NOUN
ajst-12694	2	12	models	model	NOUN
ajst-12694	2	13	for	for	ADP
ajst-12694	2	14	defect	defect	NOUN
ajst-12694	2	15	detection	detection	NOUN
ajst-12694	2	16	hanyun	hanyun	NOUN
ajst-12694	2	17	wang	wang	PROPN
ajst-12694	2	18	school	school	NOUN
ajst-12694	2	19	of	of	ADP
ajst-12694	2	20	electrical	electrical	ADJ
ajst-12694	2	21	engineering	engineering	NOUN
ajst-12694	2	22	and	and	CCONJ
ajst-12694	2	23	information	information	NOUN
ajst-12694	2	24	,	,	PUNCT
ajst-12694	2	25	southwest	southwest	ADJ
ajst-12694	2	26	petroleum	petroleum	PROPN
ajst-12694	2	27	university	university	PROPN
ajst-12694	2	28	,	,	PUNCT
ajst-12694	2	29	sichuan	sichuan	PROPN
ajst-12694	2	30	610500	610500	NUM
ajst-12694	2	31	,	,	PUNCT
ajst-12694	2	32	china	china	PROPN
ajst-12694	2	33	abstract	abstract	NOUN
ajst-12694	2	34	:	:	PUNCT
ajst-12694	2	35	in	in	ADP
ajst-12694	2	36	industrial	industrial	ADJ
ajst-12694	2	37	production	production	NOUN
ajst-12694	2	38	,	,	PUNCT
ajst-12694	2	39	product	product	NOUN
ajst-12694	2	40	defect	defect	NOUN
ajst-12694	2	41	detection	detection	NOUN
ajst-12694	2	42	is	be	AUX
ajst-12694	2	43	vital	vital	ADJ
ajst-12694	2	44	for	for	ADP
ajst-12694	2	45	quality	quality	NOUN
ajst-12694	2	46	control	control	NOUN
ajst-12694	2	47	.	.	PUNCT
ajst-12694	3	1	traditional	traditional	ADJ
ajst-12694	3	2	manual	manual	ADJ
ajst-12694	3	3	inspection	inspection	NOUN
ajst-12694	3	4	is	be	AUX
ajst-12694	3	5	inefficient	inefficient	ADJ
ajst-12694	3	6	and	and	CCONJ
ajst-12694	3	7	error	error	NOUN
ajst-12694	3	8	-	-	PUNCT
ajst-12694	3	9	prone	prone	ADJ
ajst-12694	3	10	.	.	PUNCT
ajst-12694	4	1	deep	deep	ADJ
ajst-12694	4	2	learning	learning	NOUN
ajst-12694	4	3	,	,	PUNCT
ajst-12694	4	4	particularly	particularly	ADV
ajst-12694	4	5	in	in	ADP
ajst-12694	4	6	image	image	NOUN
ajst-12694	4	7	processing	processing	NOUN
ajst-12694	4	8	,	,	PUNCT
ajst-12694	4	9	has	have	AUX
ajst-12694	4	10	enabled	enable	VERB
ajst-12694	4	11	computer	computer	NOUN
ajst-12694	4	12	-	-	PUNCT
ajst-12694	4	13	based	base	VERB
ajst-12694	4	14	automated	automate	VERB
ajst-12694	4	15	defect	defect	NOUN
ajst-12694	4	16	detection	detection	NOUN
ajst-12694	4	17	.	.	PUNCT
ajst-12694	5	1	this	this	DET
ajst-12694	5	2	paper	paper	NOUN
ajst-12694	5	3	proposes	propose	VERB
ajst-12694	5	4	a	a	DET
ajst-12694	5	5	visual	visual	ADJ
ajst-12694	5	6	transformer	transformer	NOUN
ajst-12694	5	7	-	-	PUNCT
ajst-12694	5	8	based	base	VERB
ajst-12694	5	9	model	model	NOUN
ajst-12694	5	10	to	to	PART
ajst-12694	5	11	overcome	overcome	VERB
ajst-12694	5	12	limitations	limitation	NOUN
ajst-12694	5	13	in	in	ADP
ajst-12694	5	14	industrial	industrial	ADJ
ajst-12694	5	15	anomaly	anomaly	NOUN
ajst-12694	5	16	detection	detection	NOUN
ajst-12694	5	17	.	.	PUNCT
ajst-12694	6	1	leveraging	leverage	VERB
ajst-12694	6	2	pretrained	pretraine	VERB
ajst-12694	6	3	vision	vision	NOUN
ajst-12694	6	4	transformer	transformer	NOUN
ajst-12694	6	5	and	and	CCONJ
ajst-12694	6	6	point	point	NOUN
ajst-12694	6	7	transformer	transformer	NOUN
ajst-12694	6	8	models	model	NOUN
ajst-12694	6	9	,	,	PUNCT
ajst-12694	6	10	it	it	PRON
ajst-12694	6	11	extracts	extract	VERB
ajst-12694	6	12	features	feature	NOUN
ajst-12694	6	13	from	from	ADP
ajst-12694	6	14	rgb	rgb	PROPN
ajst-12694	6	15	images	image	NOUN
ajst-12694	6	16	and	and	CCONJ
ajst-12694	6	17	point	point	VERB
ajst-12694	6	18	cloud	cloud	ADJ
ajst-12694	6	19	data	datum	NOUN
ajst-12694	6	20	.	.	PUNCT
ajst-12694	7	1	multimodal	multimodal	ADJ
ajst-12694	7	2	feature	feature	NOUN
ajst-12694	7	3	fusion	fusion	NOUN
ajst-12694	7	4	enhances	enhance	VERB
ajst-12694	7	5	anomaly	anomaly	NOUN
ajst-12694	7	6	perception	perception	NOUN
ajst-12694	7	7	,	,	PUNCT
ajst-12694	7	8	with	with	ADP
ajst-12694	7	9	residual	residual	ADJ
ajst-12694	7	10	connections	connection	NOUN
ajst-12694	7	11	mitigating	mitigate	VERB
ajst-12694	7	12	feature	feature	NOUN
ajst-12694	7	13	loss	loss	NOUN
ajst-12694	7	14	.	.	PUNCT
ajst-12694	8	1	on	on	ADP
ajst-12694	8	2	the	the	DET
ajst-12694	8	3	mvtec	mvtec	ADJ
ajst-12694	8	4	ad	ad	NOUN
ajst-12694	8	5	dataset	dataset	NOUN
ajst-12694	8	6	,	,	PUNCT
ajst-12694	8	7	it	it	PRON
ajst-12694	8	8	achieves	achieve	VERB
ajst-12694	8	9	96.3	96.3	NUM
ajst-12694	8	10	%	%	NOUN
ajst-12694	8	11	au	au	NOUN
ajst-12694	8	12	pro	pro	X
ajst-12694	8	13	for	for	ADP
ajst-12694	8	14	anomaly	anomaly	NOUN
ajst-12694	8	15	detection	detection	NOUN
ajst-12694	8	16	and	and	CCONJ
ajst-12694	8	17	99.3	99.3	NUM
ajst-12694	8	18	%	%	NOUN
ajst-12694	8	19	pixel	pixel	NOUN
ajst-12694	8	20	rocauc	rocauc	NOUN
ajst-12694	8	21	for	for	ADP
ajst-12694	8	22	anomaly	anomaly	NOUN
ajst-12694	8	23	segmentation	segmentation	NOUN
ajst-12694	8	24	.	.	PUNCT
ajst-12694	9	1	to	to	PART
ajst-12694	9	2	enable	enable	VERB
ajst-12694	9	3	deployment	deployment	NOUN
ajst-12694	9	4	on	on	ADP
ajst-12694	9	5	devices	device	NOUN
ajst-12694	9	6	like	like	ADP
ajst-12694	9	7	raspberry	raspberry	NOUN
ajst-12694	9	8	pi	pi	NOUN
ajst-12694	9	9	,	,	PUNCT
ajst-12694	9	10	the	the	DET
ajst-12694	9	11	paper	paper	NOUN
ajst-12694	9	12	introduces	introduce	VERB
ajst-12694	9	13	a	a	DET
ajst-12694	9	14	lightweight	lightweight	ADJ
ajst-12694	9	15	model	model	NOUN
ajst-12694	9	16	via	via	ADP
ajst-12694	9	17	post	post	ADJ
ajst-12694	9	18	-	-	ADJ
ajst-12694	9	19	training	training	ADJ
ajst-12694	9	20	quantization	quantization	NOUN
ajst-12694	9	21	and	and	CCONJ
ajst-12694	9	22	pruning	pruning	NOUN
ajst-12694	9	23	.	.	PUNCT
ajst-12694	10	1	this	this	DET
ajst-12694	10	2	results	result	VERB
ajst-12694	10	3	in	in	ADP
ajst-12694	10	4	a	a	DET
ajst-12694	10	5	28.52	28.52	NUM
ajst-12694	10	6	%	%	NOUN
ajst-12694	10	7	inference	inference	NOUN
ajst-12694	10	8	speedup	speedup	NOUN
ajst-12694	10	9	with	with	ADP
ajst-12694	10	10	only	only	ADV
ajst-12694	10	11	a	a	DET
ajst-12694	10	12	1.08	1.08	NUM
ajst-12694	10	13	%	%	NOUN
ajst-12694	10	14	average	average	ADJ
ajst-12694	10	15	detection	detection	NOUN
ajst-12694	10	16	accuracy	accuracy	NOUN
ajst-12694	10	17	drop	drop	NOUN
ajst-12694	10	18	,	,	PUNCT
ajst-12694	10	19	facilitating	facilitate	VERB
ajst-12694	10	20	practical	practical	ADJ
ajst-12694	10	21	industrial	industrial	ADJ
ajst-12694	10	22	applications	application	NOUN
ajst-12694	10	23	on	on	ADP
ajst-12694	10	24	compact	compact	ADJ
ajst-12694	10	25	devices	device	NOUN
ajst-12694	10	26	.	.	PUNCT
ajst-12694	11	1	keywords	keyword	NOUN
ajst-12694	11	2	:	:	PUNCT
ajst-12694	11	3	image	image	NOUN
ajst-12694	11	4	processing	processing	NOUN
ajst-12694	11	5	;	;	PUNCT
ajst-12694	11	6	anomaly	anomaly	NOUN
ajst-12694	11	7	detection	detection	NOUN
ajst-12694	11	8	;	;	PUNCT
ajst-12694	11	9	vision	vision	NOUN
ajst-12694	11	10	transformer	transformer	NOUN
ajst-12694	11	11	;	;	PUNCT
ajst-12694	11	12	quantization	quantization	NOUN
ajst-12694	11	13	;	;	PUNCT
ajst-12694	11	14	pruning	prune	VERB
ajst-12694	11	15	.	.	PUNCT
ajst-12694	12	1	1	1	X
ajst-12694	12	2	.	.	X
ajst-12694	12	3	introduction	introduction	NOUN
ajst-12694	12	4	industrial	industrial	ADJ
ajst-12694	12	5	anomaly	anomaly	NOUN
ajst-12694	12	6	detection	detection	NOUN
ajst-12694	12	7	combines	combine	VERB
ajst-12694	12	8	anomaly	anomaly	NOUN
ajst-12694	12	9	detection	detection	NOUN
ajst-12694	12	10	techniques	technique	NOUN
ajst-12694	12	11	with	with	ADP
ajst-12694	12	12	manufacturing	manufacturing	NOUN
ajst-12694	12	13	processes	process	NOUN
ajst-12694	12	14	to	to	PART
ajst-12694	12	15	promptly	promptly	ADV
ajst-12694	12	16	identify	identify	VERB
ajst-12694	12	17	irregularities	irregularity	NOUN
ajst-12694	12	18	,	,	PUNCT
ajst-12694	12	19	such	such	ADJ
ajst-12694	12	20	as	as	ADP
ajst-12694	12	21	surface	surface	NOUN
ajst-12694	12	22	defects	defect	NOUN
ajst-12694	12	23	,	,	PUNCT
ajst-12694	12	24	in	in	ADP
ajst-12694	12	25	industrial	industrial	ADJ
ajst-12694	12	26	production	production	NOUN
ajst-12694	12	27	,	,	PUNCT
ajst-12694	12	28	enhancing	enhance	VERB
ajst-12694	12	29	product	product	NOUN
ajst-12694	12	30	quality	quality	NOUN
ajst-12694	12	31	and	and	CCONJ
ajst-12694	12	32	efficiency	efficiency	NOUN
ajst-12694	12	33	.	.	PUNCT
ajst-12694	13	1	traditional	traditional	ADJ
ajst-12694	13	2	quality	quality	NOUN
ajst-12694	13	3	control	control	NOUN
ajst-12694	13	4	methods	method	NOUN
ajst-12694	13	5	,	,	PUNCT
ajst-12694	13	6	relying	rely	VERB
ajst-12694	13	7	on	on	ADP
ajst-12694	13	8	random	random	ADJ
ajst-12694	13	9	sampling	sampling	NOUN
ajst-12694	13	10	,	,	PUNCT
ajst-12694	13	11	often	often	ADV
ajst-12694	13	12	miss	miss	VERB
ajst-12694	13	13	defects	defect	NOUN
ajst-12694	13	14	,	,	PUNCT
ajst-12694	13	15	leading	lead	VERB
ajst-12694	13	16	to	to	ADP
ajst-12694	13	17	substantial	substantial	ADJ
ajst-12694	13	18	losses	loss	NOUN
ajst-12694	13	19	.	.	PUNCT
ajst-12694	14	1	for	for	ADP
ajst-12694	14	2	example	example	NOUN
ajst-12694	14	3	,	,	PUNCT
ajst-12694	14	4	between	between	ADP
ajst-12694	14	5	january	january	PROPN
ajst-12694	14	6	2021	2021	NUM
ajst-12694	14	7	and	and	CCONJ
ajst-12694	14	8	may	may	PROPN
ajst-12694	14	9	2022	2022	NUM
ajst-12694	14	10	,	,	PUNCT
ajst-12694	14	11	automakers	automaker	NOUN
ajst-12694	14	12	like	like	ADP
ajst-12694	14	13	huachen	huachen	ADV
ajst-12694	14	14	bmw	bmw	PROPN
ajst-12694	14	15	and	and	CCONJ
ajst-12694	14	16	mercedes	mercedes	PROPN
ajst-12694	14	17	-	-	PUNCT
ajst-12694	14	18	benz	benz	PROPN
ajst-12694	14	19	(	(	PUNCT
ajst-12694	14	20	china	china	PROPN
ajst-12694	14	21	)	)	PUNCT
ajst-12694	14	22	had	have	VERB
ajst-12694	14	23	to	to	PART
ajst-12694	14	24	recall	recall	VERB
ajst-12694	14	25	266,203	266,203	NUM
ajst-12694	14	26	vehicles	vehicle	NOUN
ajst-12694	14	27	due	due	ADJ
ajst-12694	14	28	to	to	ADP
ajst-12694	14	29	various	various	ADJ
ajst-12694	14	30	defects	defect	NOUN
ajst-12694	14	31	.	.	PUNCT
ajst-12694	15	1	implementing	implement	VERB
ajst-12694	15	2	industrial	industrial	ADJ
ajst-12694	15	3	anomaly	anomaly	NOUN
ajst-12694	15	4	detection	detection	NOUN
ajst-12694	15	5	,	,	PUNCT
ajst-12694	15	6	by	by	ADP
ajst-12694	15	7	scanning	scan	VERB
ajst-12694	15	8	product	product	NOUN
ajst-12694	15	9	images	image	NOUN
ajst-12694	15	10	,	,	PUNCT
ajst-12694	15	11	offers	offer	VERB
ajst-12694	15	12	a	a	DET
ajst-12694	15	13	cost	cost	NOUN
ajst-12694	15	14	-	-	PUNCT
ajst-12694	15	15	effective	effective	ADJ
ajst-12694	15	16	way	way	NOUN
ajst-12694	15	17	to	to	PART
ajst-12694	15	18	achieve	achieve	VERB
ajst-12694	15	19	comprehensive	comprehensive	ADJ
ajst-12694	15	20	defect	defect	NOUN
ajst-12694	15	21	detection	detection	NOUN
ajst-12694	15	22	and	and	CCONJ
ajst-12694	15	23	improve	improve	VERB
ajst-12694	15	24	quality	quality	NOUN
ajst-12694	15	25	standards.[1	standards.[1	ADP
ajst-12694	15	26	]	]	PUNCT
ajst-12694	15	27	in	in	ADP
ajst-12694	15	28	current	current	ADJ
ajst-12694	15	29	image	image	NOUN
ajst-12694	15	30	-	-	PUNCT
ajst-12694	15	31	based	base	VERB
ajst-12694	15	32	industrial	industrial	ADJ
ajst-12694	15	33	anomaly	anomaly	NOUN
ajst-12694	15	34	detection	detection	NOUN
ajst-12694	15	35	,	,	PUNCT
ajst-12694	15	36	two	two	NUM
ajst-12694	15	37	factors	factor	NOUN
ajst-12694	15	38	hinder	hinder	VERB
ajst-12694	15	39	scalable	scalable	ADJ
ajst-12694	15	40	applications	application	NOUN
ajst-12694	15	41	:	:	PUNCT
ajst-12694	15	42	first	first	ADV
ajst-12694	15	43	,	,	PUNCT
ajst-12694	15	44	the	the	DET
ajst-12694	15	45	accuracy	accuracy	NOUN
ajst-12694	15	46	of	of	ADP
ajst-12694	15	47	detection	detection	NOUN
ajst-12694	15	48	is	be	AUX
ajst-12694	15	49	often	often	ADV
ajst-12694	15	50	insufficient	insufficient	ADJ
ajst-12694	15	51	,	,	PUNCT
ajst-12694	15	52	requiring	require	VERB
ajst-12694	15	53	manual	manual	ADJ
ajst-12694	15	54	verification	verification	NOUN
ajst-12694	15	55	.	.	PUNCT
ajst-12694	16	1	for	for	ADP
ajst-12694	16	2	example	example	NOUN
ajst-12694	16	3	,	,	PUNCT
ajst-12694	16	4	in	in	ADP
ajst-12694	16	5	recent	recent	ADJ
ajst-12694	16	6	surface	surface	NOUN
ajst-12694	16	7	defect	defect	NOUN
ajst-12694	16	8	detection	detection	NOUN
ajst-12694	16	9	for	for	ADP
ajst-12694	16	10	steel	steel	NOUN
ajst-12694	16	11	strips,[2	strips,[2	PROPN
ajst-12694	16	12	]	]	PUNCT
ajst-12694	16	13	the	the	DET
ajst-12694	16	14	map_0.5	map_0.5	NOUN
ajst-12694	16	15	is	be	AUX
ajst-12694	16	16	only	only	ADV
ajst-12694	16	17	0.79	0.79	NUM
ajst-12694	16	18	.	.	PUNCT
ajst-12694	16	19	second	second	ADJ
ajst-12694	16	20	,	,	PUNCT
ajst-12694	16	21	detection	detection	NOUN
ajst-12694	16	22	models	model	NOUN
ajst-12694	16	23	tend	tend	VERB
ajst-12694	16	24	to	to	PART
ajst-12694	16	25	be	be	AUX
ajst-12694	16	26	large	large	ADJ
ajst-12694	16	27	,	,	PUNCT
ajst-12694	16	28	demanding	demand	VERB
ajst-12694	16	29	high	high	ADJ
ajst-12694	16	30	-	-	PUNCT
ajst-12694	16	31	performance	performance	NOUN
ajst-12694	16	32	hardware	hardware	NOUN
ajst-12694	16	33	,	,	PUNCT
ajst-12694	16	34	incurring	incur	VERB
ajst-12694	16	35	high	high	ADJ
ajst-12694	16	36	costs	cost	NOUN
ajst-12694	16	37	,	,	PUNCT
ajst-12694	16	38	and	and	CCONJ
ajst-12694	16	39	operating	operate	VERB
ajst-12694	16	40	slowly	slowly	ADV
ajst-12694	16	41	,	,	PUNCT
ajst-12694	16	42	making	make	VERB
ajst-12694	16	43	them	they	PRON
ajst-12694	16	44	unsuitable	unsuitable	ADJ
ajst-12694	16	45	for	for	ADP
ajst-12694	16	46	real	real	ADJ
ajst-12694	16	47	-	-	PUNCT
ajst-12694	16	48	time	time	NOUN
ajst-12694	16	49	applications	application	NOUN
ajst-12694	16	50	.	.	PUNCT
ajst-12694	17	1	for	for	ADP
ajst-12694	17	2	instance	instance	NOUN
ajst-12694	17	3	,	,	PUNCT
ajst-12694	17	4	the	the	DET
ajst-12694	17	5	widely	widely	ADV
ajst-12694	17	6	used	use	VERB
ajst-12694	17	7	vision	vision	NOUN
ajst-12694	17	8	transformer	transformer	NOUN
ajst-12694	17	9	model	model	NOUN
ajst-12694	17	10	,	,	PUNCT
ajst-12694	17	11	vit	vit	NOUN
ajst-12694	17	12	-	-	PUNCT
ajst-12694	17	13	l[3	l[3	PROPN
ajst-12694	17	14	]	]	PUNCT
ajst-12694	17	15	,	,	PUNCT
ajst-12694	17	16	has	have	VERB
ajst-12694	17	17	307	307	NUM
ajst-12694	17	18	mb	mb	ADJ
ajst-12694	17	19	parameters	parameter	NOUN
ajst-12694	17	20	and	and	CCONJ
ajst-12694	17	21	190.7	190.7	NUM
ajst-12694	17	22	g	g	NOUN
ajst-12694	17	23	flops	flop	NOUN
ajst-12694	17	24	,	,	PUNCT
ajst-12694	17	25	requiring	require	VERB
ajst-12694	17	26	6.5	6.5	NUM
ajst-12694	17	27	gb	gb	NOUN
ajst-12694	17	28	of	of	ADP
ajst-12694	17	29	memory	memory	NOUN
ajst-12694	17	30	for	for	ADP
ajst-12694	17	31	inference	inference	NOUN
ajst-12694	17	32	.	.	PUNCT
ajst-12694	18	1	consider	consider	VERB
ajst-12694	18	2	the	the	DET
ajst-12694	18	3	popular	popular	ADJ
ajst-12694	18	4	micro	micro	ADJ
ajst-12694	18	5	-	-	ADJ
ajst-12694	18	6	terminal	terminal	ADJ
ajst-12694	18	7	raspberry	raspberry	NOUN
ajst-12694	18	8	pi	pi	NOUN
ajst-12694	18	9	3b+	3b+	NUM
ajst-12694	18	10	,	,	PUNCT
ajst-12694	18	11	which	which	PRON
ajst-12694	18	12	uses	use	VERB
ajst-12694	18	13	a	a	DET
ajst-12694	18	14	bcm2837b0	bcm2837b0	PROPN
ajst-12694	18	15	chip	chip	NOUN
ajst-12694	18	16	with	with	ADP
ajst-12694	18	17	a	a	DET
ajst-12694	18	18	cpu@1.4ghz	cpu@1.4ghz	NOUN
ajst-12694	18	19	and	and	CCONJ
ajst-12694	18	20	supports	support	VERB
ajst-12694	18	21	a	a	DET
ajst-12694	18	22	maximum	maximum	NOUN
ajst-12694	18	23	of	of	ADP
ajst-12694	18	24	2	2	NUM
ajst-12694	18	25	gb	gb	NOUN
ajst-12694	18	26	of	of	ADP
ajst-12694	18	27	memory	memory	NOUN
ajst-12694	18	28	;	;	PUNCT
ajst-12694	18	29	it	it	PRON
ajst-12694	18	30	can	can	AUX
ajst-12694	18	31	not	not	PART
ajst-12694	18	32	support	support	VERB
ajst-12694	18	33	such	such	ADJ
ajst-12694	18	34	large	large	ADJ
ajst-12694	18	35	models	model	NOUN
ajst-12694	18	36	.	.	PUNCT
ajst-12694	19	1	thus	thus	ADV
ajst-12694	19	2	,	,	PUNCT
ajst-12694	19	3	in	in	ADP
ajst-12694	19	4	practical	practical	ADJ
ajst-12694	19	5	industrial	industrial	ADJ
ajst-12694	19	6	anomaly	anomaly	NOUN
ajst-12694	19	7	detection	detection	NOUN
ajst-12694	19	8	,	,	PUNCT
ajst-12694	19	9	apart	apart	ADV
ajst-12694	19	10	from	from	ADP
ajst-12694	19	11	improving	improve	VERB
ajst-12694	19	12	model	model	NOUN
ajst-12694	19	13	accuracy	accuracy	NOUN
ajst-12694	19	14	,	,	PUNCT
ajst-12694	19	15	lightweighting	lightweighting	NOUN
ajst-12694	19	16	models	model	NOUN
ajst-12694	19	17	to	to	PART
ajst-12694	19	18	reduce	reduce	VERB
ajst-12694	19	19	reliance	reliance	NOUN
ajst-12694	19	20	on	on	ADP
ajst-12694	19	21	hardware	hardware	NOUN
ajst-12694	19	22	computational	computational	ADJ
ajst-12694	19	23	performance	performance	NOUN
ajst-12694	19	24	is	be	AUX
ajst-12694	19	25	crucial	crucial	ADJ
ajst-12694	19	26	.	.	PUNCT
ajst-12694	20	1	supervised	supervised	ADJ
ajst-12694	20	2	learning	learning	NOUN
ajst-12694	20	3	-	-	PUNCT
ajst-12694	20	4	based	base	VERB
ajst-12694	20	5	industrial	industrial	ADJ
ajst-12694	20	6	anomaly	anomaly	NOUN
ajst-12694	20	7	detection	detection	NOUN
ajst-12694	20	8	falls	fall	VERB
ajst-12694	20	9	into	into	ADP
ajst-12694	20	10	two	two	NUM
ajst-12694	20	11	main	main	ADJ
ajst-12694	20	12	categories	category	NOUN
ajst-12694	20	13	:	:	PUNCT
ajst-12694	20	14	object	object	VERB
ajst-12694	20	15	detection	detection	NOUN
ajst-12694	20	16	and	and	CCONJ
ajst-12694	20	17	pixel	pixel	PROPN
ajst-12694	20	18	segmentation	segmentation	NOUN
ajst-12694	20	19	.	.	PUNCT
ajst-12694	21	1	object	object	NOUN
ajst-12694	21	2	detection	detection	NOUN
ajst-12694	21	3	treats	treat	VERB
ajst-12694	21	4	anomalies	anomaly	NOUN
ajst-12694	21	5	as	as	ADP
ajst-12694	21	6	targets	target	NOUN
ajst-12694	21	7	to	to	AUX
ajst-12694	21	8	segment	segment	VERB
ajst-12694	21	9	and	and	CCONJ
ajst-12694	21	10	recognize	recognize	VERB
ajst-12694	21	11	using	use	VERB
ajst-12694	21	12	modified	modify	VERB
ajst-12694	21	13	classic	classic	ADJ
ajst-12694	21	14	detection	detection	NOUN
ajst-12694	21	15	algorithms	algorithm	NOUN
ajst-12694	21	16	.	.	PUNCT
ajst-12694	22	1	pixel	pixel	PROPN
ajst-12694	22	2	segmentation	segmentation	NOUN
ajst-12694	22	3	aims	aim	VERB
ajst-12694	22	4	to	to	PART
ajst-12694	22	5	refine	refine	VERB
ajst-12694	22	6	defect	defect	ADJ
ajst-12694	22	7	boundaries	boundary	NOUN
ajst-12694	22	8	at	at	ADP
ajst-12694	22	9	the	the	DET
ajst-12694	22	10	pixel	pixel	PROPN
ajst-12694	22	11	level	level	NOUN
ajst-12694	22	12	for	for	ADP
ajst-12694	22	13	higher	high	ADJ
ajst-12694	22	14	accuracy	accuracy	NOUN
ajst-12694	22	15	.	.	PUNCT
ajst-12694	23	1	while	while	SCONJ
ajst-12694	23	2	supervised	supervised	ADJ
ajst-12694	23	3	methods	method	NOUN
ajst-12694	23	4	perform	perform	VERB
ajst-12694	23	5	well	well	ADV
ajst-12694	23	6	with	with	ADP
ajst-12694	23	7	ample	ample	ADJ
ajst-12694	23	8	training	training	NOUN
ajst-12694	23	9	data	datum	NOUN
ajst-12694	23	10	,	,	PUNCT
ajst-12694	23	11	many	many	ADJ
ajst-12694	23	12	anomaly	anomaly	NOUN
ajst-12694	23	13	detection	detection	NOUN
ajst-12694	23	14	scenarios	scenario	NOUN
ajst-12694	23	15	lack	lack	VERB
ajst-12694	23	16	such	such	ADJ
ajst-12694	23	17	data	datum	NOUN
ajst-12694	23	18	.	.	PUNCT
ajst-12694	24	1	data	datum	NOUN
ajst-12694	24	2	augmentation	augmentation	NOUN
ajst-12694	24	3	techniques	technique	NOUN
ajst-12694	24	4	like	like	ADP
ajst-12694	24	5	gans	gan	NOUN
ajst-12694	24	6	are	be	AUX
ajst-12694	24	7	used	use	VERB
ajst-12694	24	8	,	,	PUNCT
ajst-12694	24	9	but	but	CCONJ
ajst-12694	24	10	they	they	PRON
ajst-12694	24	11	introduce	introduce	VERB
ajst-12694	24	12	distribution	distribution	NOUN
ajst-12694	24	13	differences	difference	NOUN
ajst-12694	24	14	and	and	CCONJ
ajst-12694	24	15	offer	offer	VERB
ajst-12694	24	16	limited	limited	ADJ
ajst-12694	24	17	performance	performance	NOUN
ajst-12694	24	18	gains	gain	NOUN
ajst-12694	24	19	.	.	PUNCT
ajst-12694	25	1	additionally	additionally	ADV
ajst-12694	25	2	,	,	PUNCT
ajst-12694	25	3	supervised	supervised	ADJ
ajst-12694	25	4	methods	method	NOUN
ajst-12694	25	5	are	be	AUX
ajst-12694	25	6	constrained	constrain	VERB
ajst-12694	25	7	by	by	ADP
ajst-12694	25	8	known	know	VERB
ajst-12694	25	9	anomaly	anomaly	NOUN
ajst-12694	25	10	types	type	NOUN
ajst-12694	25	11	,	,	PUNCT
ajst-12694	25	12	making	make	VERB
ajst-12694	25	13	them	they	PRON
ajst-12694	25	14	less	less	ADV
ajst-12694	25	15	adaptable	adaptable	ADJ
ajst-12694	25	16	to	to	PART
ajst-12694	25	17	diverse	diverse	VERB
ajst-12694	25	18	and	and	CCONJ
ajst-12694	25	19	evolving	evolve	VERB
ajst-12694	25	20	industrial	industrial	ADJ
ajst-12694	25	21	anomaly	anomaly	NOUN
ajst-12694	25	22	detection	detection	NOUN
ajst-12694	25	23	challenges	challenge	NOUN
ajst-12694	25	24	where	where	SCONJ
ajst-12694	25	25	anomaly	anomaly	NOUN
ajst-12694	25	26	types	type	NOUN
ajst-12694	25	27	can	can	AUX
ajst-12694	25	28	vary	vary	VERB
ajst-12694	25	29	significantly.[4	significantly.[4	VERB
ajst-12694	25	30	]	]	PUNCT
ajst-12694	26	1	unsupervised	unsupervised	ADJ
ajst-12694	26	2	learning	learning	NOUN
ajst-12694	26	3	provides	provide	VERB
ajst-12694	26	4	a	a	DET
ajst-12694	26	5	notable	notable	ADJ
ajst-12694	26	6	advantage	advantage	NOUN
ajst-12694	26	7	over	over	ADP
ajst-12694	26	8	supervised	supervised	ADJ
ajst-12694	26	9	learning	learning	NOUN
ajst-12694	26	10	by	by	ADP
ajst-12694	26	11	circumventing	circumvent	VERB
ajst-12694	26	12	the	the	DET
ajst-12694	26	13	need	need	NOUN
ajst-12694	26	14	for	for	ADP
ajst-12694	26	15	extensive	extensive	ADJ
ajst-12694	26	16	manual	manual	ADJ
ajst-12694	26	17	labeling	labeling	NOUN
ajst-12694	26	18	,	,	PUNCT
ajst-12694	26	19	thereby	thereby	ADV
ajst-12694	26	20	reducing	reduce	VERB
ajst-12694	26	21	development	development	NOUN
ajst-12694	26	22	costs	cost	NOUN
ajst-12694	26	23	.	.	PUNCT
ajst-12694	27	1	it	it	PRON
ajst-12694	27	2	also	also	ADV
ajst-12694	27	3	excels	excel	VERB
ajst-12694	27	4	in	in	ADP
ajst-12694	27	5	handling	handle	VERB
ajst-12694	27	6	the	the	DET
ajst-12694	27	7	diverse	diverse	ADJ
ajst-12694	27	8	and	and	CCONJ
ajst-12694	27	9	ever	ever	ADV
ajst-12694	27	10	-	-	PUNCT
ajst-12694	27	11	changing	change	VERB
ajst-12694	27	12	anomaly	anomaly	NOUN
ajst-12694	27	13	types	type	NOUN
ajst-12694	27	14	encountered	encounter	VERB
ajst-12694	27	15	in	in	ADP
ajst-12694	27	16	industrial	industrial	ADJ
ajst-12694	27	17	defect	defect	NOUN
ajst-12694	27	18	detection	detection	NOUN
ajst-12694	27	19	.	.	PUNCT
ajst-12694	28	1	unlike	unlike	ADP
ajst-12694	28	2	supervised	supervised	ADJ
ajst-12694	28	3	methods	method	NOUN
ajst-12694	28	4	,	,	PUNCT
ajst-12694	28	5	which	which	PRON
ajst-12694	28	6	often	often	ADV
ajst-12694	28	7	miss	miss	VERB
ajst-12694	28	8	anomalies	anomaly	NOUN
ajst-12694	28	9	not	not	PART
ajst-12694	28	10	covered	cover	VERB
ajst-12694	28	11	by	by	ADP
ajst-12694	28	12	predefined	predefine	VERB
ajst-12694	28	13	labels	label	NOUN
ajst-12694	28	14	,	,	PUNCT
ajst-12694	28	15	unsupervised	unsupervised	ADJ
ajst-12694	28	16	techniques	technique	NOUN
ajst-12694	28	17	adapt	adapt	VERB
ajst-12694	28	18	by	by	ADP
ajst-12694	28	19	identifying	identify	VERB
ajst-12694	28	20	anomalies	anomaly	NOUN
ajst-12694	28	21	based	base	VERB
ajst-12694	28	22	on	on	ADP
ajst-12694	28	23	discrepancies	discrepancy	NOUN
ajst-12694	28	24	between	between	ADP
ajst-12694	28	25	defect	defect	NOUN
ajst-12694	28	26	and	and	CCONJ
ajst-12694	28	27	normal	normal	ADJ
ajst-12694	28	28	data	datum	NOUN
ajst-12694	28	29	,	,	PUNCT
ajst-12694	28	30	without	without	ADP
ajst-12694	28	31	relying	rely	VERB
ajst-12694	28	32	on	on	ADP
ajst-12694	28	33	predefined	predefined	ADJ
ajst-12694	28	34	criteria	criterion	NOUN
ajst-12694	28	35	.	.	PUNCT
ajst-12694	29	1	unsupervised	unsupervised	ADJ
ajst-12694	29	2	methods	method	NOUN
ajst-12694	29	3	in	in	ADP
ajst-12694	29	4	industrial	industrial	ADJ
ajst-12694	29	5	anomaly	anomaly	NOUN
ajst-12694	29	6	detection	detection	NOUN
ajst-12694	29	7	can	can	AUX
ajst-12694	29	8	be	be	AUX
ajst-12694	29	9	broadly	broadly	ADV
ajst-12694	29	10	categorized	categorize	VERB
ajst-12694	29	11	into	into	ADP
ajst-12694	29	12	traditional	traditional	ADJ
ajst-12694	29	13	machine	machine	NOUN
ajst-12694	29	14	learning	learning	NOUN
ajst-12694	29	15	and	and	CCONJ
ajst-12694	29	16	deep	deep	ADJ
ajst-12694	29	17	learning	learning	NOUN
ajst-12694	29	18	approaches	approach	NOUN
ajst-12694	29	19	.	.	PUNCT
ajst-12694	30	1	they	they	PRON
ajst-12694	30	2	have	have	AUX
ajst-12694	30	3	garnered	garner	VERB
ajst-12694	30	4	attention	attention	NOUN
ajst-12694	30	5	due	due	ADP
ajst-12694	30	6	to	to	ADP
ajst-12694	30	7	their	their	PRON
ajst-12694	30	8	exceptional	exceptional	ADJ
ajst-12694	30	9	feature	feature	NOUN
ajst-12694	30	10	capturing	capture	VERB
ajst-12694	30	11	capabilities	capability	NOUN
ajst-12694	30	12	,	,	PUNCT
ajst-12694	30	13	eliminating	eliminate	VERB
ajst-12694	30	14	the	the	DET
ajst-12694	30	15	need	need	NOUN
ajst-12694	30	16	for	for	ADP
ajst-12694	30	17	labor	labor	NOUN
ajst-12694	30	18	-	-	PUNCT
ajst-12694	30	19	intensive	intensive	ADJ
ajst-12694	30	20	feature	feature	NOUN
ajst-12694	30	21	engineering	engineering	NOUN
ajst-12694	30	22	.	.	PUNCT
ajst-12694	31	1	[	[	X
ajst-12694	31	2	5	5	NUM
ajst-12694	31	3	]	]	X
ajst-12694	31	4	ruff	ruff	NOUN
ajst-12694	31	5	and	and	CCONJ
ajst-12694	31	6	colleagues	colleague	NOUN
ajst-12694	32	1	[	[	X
ajst-12694	32	2	6	6	NUM
ajst-12694	32	3	]	]	PUNCT
ajst-12694	32	4	introduced	introduce	VERB
ajst-12694	32	5	an	an	DET
ajst-12694	32	6	anomaly	anomaly	NOUN
ajst-12694	32	7	detection	detection	NOUN
ajst-12694	32	8	method	method	NOUN
ajst-12694	32	9	that	that	PRON
ajst-12694	32	10	combines	combine	VERB
ajst-12694	32	11	deep	deep	ADJ
ajst-12694	32	12	learning	learning	NOUN
ajst-12694	32	13	with	with	ADP
ajst-12694	32	14	support	support	NOUN
ajst-12694	32	15	vector	vector	NOUN
ajst-12694	32	16	data	datum	NOUN
ajst-12694	32	17	description	description	NOUN
ajst-12694	32	18	(	(	PUNCT
ajst-12694	32	19	svdd	svdd	PROPN
ajst-12694	32	20	)	)	PUNCT
ajst-12694	32	21	.	.	PUNCT
ajst-12694	33	1	this	this	DET
ajst-12694	33	2	approach	approach	NOUN
ajst-12694	33	3	maps	map	VERB
ajst-12694	33	4	normal	normal	ADJ
ajst-12694	33	5	samples	sample	NOUN
ajst-12694	33	6	into	into	ADP
ajst-12694	33	7	clusters	cluster	NOUN
ajst-12694	33	8	in	in	ADP
ajst-12694	33	9	a	a	DET
ajst-12694	33	10	feature	feature	NOUN
ajst-12694	33	11	space	space	NOUN
ajst-12694	33	12	and	and	CCONJ
ajst-12694	33	13	determines	determine	VERB
ajst-12694	33	14	whether	whether	SCONJ
ajst-12694	33	15	a	a	DET
ajst-12694	33	16	point	point	NOUN
ajst-12694	33	17	is	be	AUX
ajst-12694	33	18	an	an	DET
ajst-12694	33	19	anomaly	anomaly	NOUN
ajst-12694	33	20	based	base	VERB
ajst-12694	33	21	on	on	ADP
ajst-12694	33	22	its	its	PRON
ajst-12694	33	23	distance	distance	NOUN
ajst-12694	33	24	from	from	ADP
ajst-12694	33	25	the	the	DET
ajst-12694	33	26	cluster	cluster	NOUN
ajst-12694	33	27	center	center	NOUN
ajst-12694	33	28	.	.	PUNCT
ajst-12694	34	1	however	however	ADV
ajst-12694	34	2	,	,	PUNCT
ajst-12694	34	3	this	this	DET
ajst-12694	34	4	method	method	NOUN
ajst-12694	34	5	requires	require	VERB
ajst-12694	34	6	manual	manual	ADJ
ajst-12694	34	7	specification	specification	NOUN
ajst-12694	34	8	of	of	ADP
ajst-12694	34	9	cluster	cluster	NOUN
ajst-12694	34	10	centers	center	NOUN
ajst-12694	34	11	during	during	ADP
ajst-12694	34	12	clustering	clustering	NOUN
ajst-12694	34	13	,	,	PUNCT
ajst-12694	34	14	introducing	introduce	VERB
ajst-12694	34	15	uncertainty	uncertainty	NOUN
ajst-12694	34	16	into	into	ADP
ajst-12694	34	17	its	its	PRON
ajst-12694	34	18	effectiveness	effectiveness	NOUN
ajst-12694	34	19	.	.	PUNCT
ajst-12694	35	1	these	these	DET
ajst-12694	35	2	methods	method	NOUN
ajst-12694	35	3	excel	excel	VERB
ajst-12694	35	4	in	in	ADP
ajst-12694	35	5	detecting	detect	VERB
ajst-12694	35	6	anomalies	anomaly	NOUN
ajst-12694	35	7	by	by	ADP
ajst-12694	35	8	assessing	assess	VERB
ajst-12694	35	9	the	the	DET
ajst-12694	35	10	differences	difference	NOUN
ajst-12694	35	11	between	between	ADP
ajst-12694	35	12	input	input	NOUN
ajst-12694	35	13	samples	sample	NOUN
ajst-12694	35	14	and	and	CCONJ
ajst-12694	35	15	those	those	PRON
ajst-12694	35	16	generated	generate	VERB
ajst-12694	35	17	by	by	ADP
ajst-12694	35	18	the	the	DET
ajst-12694	35	19	model	model	NOUN
ajst-12694	35	20	,	,	PUNCT
ajst-12694	35	21	making	make	VERB
ajst-12694	35	22	the	the	DET
ajst-12694	35	23	model	model	NOUN
ajst-12694	35	24	's	's	PART
ajst-12694	35	25	performance	performance	NOUN
ajst-12694	35	26	contingent	contingent	NOUN
ajst-12694	35	27	on	on	ADP
ajst-12694	35	28	the	the	DET
ajst-12694	35	29	quality	quality	NOUN
ajst-12694	35	30	of	of	ADP
ajst-12694	35	31	the	the	DET
ajst-12694	35	32	generated	generate	VERB
ajst-12694	35	33	images	image	NOUN
ajst-12694	35	34	.	.	PUNCT
ajst-12694	36	1	2	2	X
ajst-12694	36	2	.	.	X
ajst-12694	36	3	organization	organization	NOUN
ajst-12694	36	4	of	of	ADP
ajst-12694	36	5	the	the	DET
ajst-12694	36	6	text	text	NOUN
ajst-12694	36	7	2.1	2.1	NUM
ajst-12694	36	8	.	.	PUNCT
ajst-12694	37	1	a	a	DET
ajst-12694	37	2	visual	visual	ADJ
ajst-12694	37	3	transformer	transformer	NOUN
ajst-12694	37	4	-	-	PUNCT
ajst-12694	37	5	based	base	VERB
ajst-12694	37	6	defect	defect	NOUN
ajst-12694	37	7	detection	detection	NOUN
ajst-12694	37	8	model	model	NOUN
ajst-12694	37	9	2.1.1	2.1.1	NUM
ajst-12694	37	10	.	.	PUNCT
ajst-12694	38	1	schematic	schematic	ADJ
ajst-12694	38	2	diagram	diagram	NOUN
ajst-12694	38	3	11	11	NUM
ajst-12694	38	4	figure	figure	NOUN
ajst-12694	38	5	1	1	NUM
ajst-12694	38	6	.	.	PUNCT
ajst-12694	38	7	schematic	schematic	ADJ
ajst-12694	38	8	diagram	diagram	NOUN
ajst-12694	38	9	of	of	ADP
ajst-12694	38	10	the	the	DET
ajst-12694	38	11	visual	visual	ADJ
ajst-12694	38	12	transformer	transformer	NOUN
ajst-12694	38	13	-	-	PUNCT
ajst-12694	38	14	based	base	VERB
ajst-12694	38	15	defect	defect	NOUN
ajst-12694	38	16	detection	detection	NOUN
ajst-12694	38	17	model	model	VERB
ajst-12694	38	18	the	the	DET
ajst-12694	38	19	industrial	industrial	ADJ
ajst-12694	38	20	anomaly	anomaly	NOUN
ajst-12694	38	21	detection	detection	NOUN
ajst-12694	38	22	model	model	NOUN
ajst-12694	38	23	based	base	VERB
ajst-12694	38	24	on	on	ADP
ajst-12694	38	25	visual	visual	ADJ
ajst-12694	38	26	transformer	transformer	NOUN
ajst-12694	38	27	takes	take	VERB
ajst-12694	38	28	both	both	PRON
ajst-12694	38	29	3d	3d	NUM
ajst-12694	38	30	point	point	NOUN
ajst-12694	38	31	clouds	cloud	NOUN
ajst-12694	38	32	and	and	CCONJ
ajst-12694	38	33	rgb	rgb	PROPN
ajst-12694	38	34	images	image	NOUN
ajst-12694	38	35	as	as	ADP
ajst-12694	38	36	inputs	input	NOUN
ajst-12694	38	37	for	for	ADP
ajst-12694	38	38	anomaly	anomaly	NOUN
ajst-12694	38	39	detection	detection	NOUN
ajst-12694	38	40	and	and	CCONJ
ajst-12694	38	41	segmentation	segmentation	NOUN
ajst-12694	38	42	.	.	PUNCT
ajst-12694	39	1	to	to	PART
ajst-12694	39	2	address	address	VERB
ajst-12694	39	3	the	the	DET
ajst-12694	39	4	issue	issue	NOUN
ajst-12694	39	5	of	of	ADP
ajst-12694	39	6	misalignment	misalignment	NOUN
ajst-12694	39	7	between	between	ADP
ajst-12694	39	8	3d	3d	PROPN
ajst-12694	39	9	point	point	NOUN
ajst-12694	39	10	cloud	cloud	NOUN
ajst-12694	39	11	features	feature	NOUN
ajst-12694	39	12	and	and	CCONJ
ajst-12694	39	13	2d	2d	PROPN
ajst-12694	39	14	rgb	rgb	PROPN
ajst-12694	39	15	features	feature	NOUN
ajst-12694	39	16	,	,	PUNCT
ajst-12694	39	17	this	this	DET
ajst-12694	39	18	paper	paper	NOUN
ajst-12694	39	19	employs	employ	VERB
ajst-12694	39	20	a	a	DET
ajst-12694	39	21	point	point	NOUN
ajst-12694	39	22	feature	feature	NOUN
ajst-12694	39	23	alignment	alignment	NOUN
ajst-12694	39	24	method	method	NOUN
ajst-12694	39	25	to	to	PART
ajst-12694	39	26	align	align	VERB
ajst-12694	39	27	the	the	DET
ajst-12694	39	28	3d	3d	NOUN
ajst-12694	39	29	features	feature	VERB
ajst-12694	39	30	onto	onto	ADP
ajst-12694	39	31	a	a	DET
ajst-12694	39	32	2d	2d	NUM
ajst-12694	39	33	plane	plane	NOUN
ajst-12694	39	34	,	,	PUNCT
ajst-12694	39	35	facilitating	facilitate	VERB
ajst-12694	39	36	feature	feature	NOUN
ajst-12694	39	37	fusion	fusion	NOUN
ajst-12694	39	38	.	.	PUNCT
ajst-12694	40	1	however	however	ADV
ajst-12694	40	2	,	,	PUNCT
ajst-12694	40	3	since	since	SCONJ
ajst-12694	40	4	3d	3d	NUM
ajst-12694	40	5	point	point	NOUN
ajst-12694	40	6	cloud	cloud	NOUN
ajst-12694	40	7	features	feature	NOUN
ajst-12694	40	8	and	and	CCONJ
ajst-12694	40	9	rgb	rgb	PROPN
ajst-12694	40	10	features	feature	NOUN
ajst-12694	40	11	have	have	VERB
ajst-12694	40	12	different	different	ADJ
ajst-12694	40	13	distributions	distribution	NOUN
ajst-12694	40	14	,	,	PUNCT
ajst-12694	40	15	directly	directly	ADV
ajst-12694	40	16	concatenating	concatenate	VERB
ajst-12694	40	17	these	these	DET
ajst-12694	40	18	two	two	NUM
ajst-12694	40	19	types	type	NOUN
ajst-12694	40	20	of	of	ADP
ajst-12694	40	21	features	feature	NOUN
ajst-12694	40	22	using	use	VERB
ajst-12694	40	23	conventional	conventional	ADJ
ajst-12694	40	24	methods	method	NOUN
ajst-12694	40	25	would	would	AUX
ajst-12694	40	26	introduce	introduce	VERB
ajst-12694	40	27	interference	interference	NOUN
ajst-12694	40	28	between	between	ADP
ajst-12694	40	29	different	different	ADJ
ajst-12694	40	30	-	-	PUNCT
ajst-12694	40	31	dimensional	dimensional	ADJ
ajst-12694	40	32	features	feature	NOUN
ajst-12694	40	33	,	,	PUNCT
ajst-12694	40	34	severely	severely	ADV
ajst-12694	40	35	degrading	degrade	VERB
ajst-12694	40	36	model	model	NOUN
ajst-12694	40	37	performance	performance	NOUN
ajst-12694	40	38	.	.	PUNCT
ajst-12694	41	1	therefore	therefore	ADV
ajst-12694	41	2	,	,	PUNCT
ajst-12694	41	3	an	an	DET
ajst-12694	41	4	unsupervised	unsupervised	ADJ
ajst-12694	41	5	feature	feature	NOUN
ajst-12694	41	6	fusion	fusion	NOUN
ajst-12694	41	7	method	method	NOUN
ajst-12694	41	8	is	be	AUX
ajst-12694	41	9	used	use	VERB
ajst-12694	41	10	,	,	PUNCT
ajst-12694	41	11	which	which	PRON
ajst-12694	41	12	employs	employ	VERB
ajst-12694	41	13	contrastive	contrastive	ADJ
ajst-12694	41	14	loss	loss	NOUN
ajst-12694	41	15	at	at	ADP
ajst-12694	41	16	the	the	DET
ajst-12694	41	17	block	block	NOUN
ajst-12694	41	18	level	level	NOUN
ajst-12694	41	19	to	to	PART
ajst-12694	41	20	train	train	VERB
ajst-12694	41	21	the	the	DET
ajst-12694	41	22	feature	feature	NOUN
ajst-12694	41	23	fusion	fusion	NOUN
ajst-12694	41	24	module.[7	module.[7	NOUN
ajst-12694	41	25	]	]	PUNCT
ajst-12694	41	26	to	to	PART
ajst-12694	41	27	tackle	tackle	VERB
ajst-12694	41	28	feature	feature	NOUN
ajst-12694	41	29	loss	loss	NOUN
ajst-12694	41	30	during	during	ADP
ajst-12694	41	31	the	the	DET
ajst-12694	41	32	fusion	fusion	NOUN
ajst-12694	41	33	process	process	NOUN
ajst-12694	41	34	,	,	PUNCT
ajst-12694	41	35	this	this	DET
ajst-12694	41	36	paper	paper	NOUN
ajst-12694	41	37	proposes	propose	VERB
ajst-12694	41	38	the	the	DET
ajst-12694	41	39	use	use	NOUN
ajst-12694	41	40	of	of	ADP
ajst-12694	41	41	multiple	multiple	ADJ
ajst-12694	41	42	memory	memory	NOUN
ajst-12694	41	43	banks	bank	NOUN
ajst-12694	41	44	to	to	PART
ajst-12694	41	45	store	store	VERB
ajst-12694	41	46	original	original	ADJ
ajst-12694	41	47	color	color	NOUN
ajst-12694	41	48	,	,	PUNCT
ajst-12694	41	49	position	position	NOUN
ajst-12694	41	50	,	,	PUNCT
ajst-12694	41	51	and	and	CCONJ
ajst-12694	41	52	fusion	fusion	NOUN
ajst-12694	41	53	feature	feature	NOUN
ajst-12694	41	54	information	information	NOUN
ajst-12694	41	55	during	during	ADP
ajst-12694	41	56	training	training	NOUN
ajst-12694	41	57	.	.	PUNCT
ajst-12694	42	1	these	these	DET
ajst-12694	42	2	memory	memory	NOUN
ajst-12694	42	3	banks	bank	NOUN
ajst-12694	42	4	are	be	AUX
ajst-12694	42	5	utilized	utilize	VERB
ajst-12694	42	6	in	in	ADP
ajst-12694	42	7	the	the	DET
ajst-12694	42	8	final	final	ADJ
ajst-12694	42	9	decision	decision	NOUN
ajst-12694	42	10	-	-	PUNCT
ajst-12694	42	11	making	make	VERB
ajst-12694	42	12	process	process	NOUN
ajst-12694	42	13	along	along	ADP
ajst-12694	42	14	with	with	ADP
ajst-12694	42	15	the	the	DET
ajst-12694	42	16	fused	fuse	VERB
ajst-12694	42	17	multimodal	multimodal	NOUN
ajst-12694	42	18	features	feature	NOUN
ajst-12694	42	19	to	to	PART
ajst-12694	42	20	calculate	calculate	VERB
ajst-12694	42	21	anomaly	anomaly	NOUN
ajst-12694	42	22	scores	score	NOUN
ajst-12694	42	23	,	,	PUNCT
ajst-12694	42	24	enhancing	enhance	VERB
ajst-12694	42	25	the	the	DET
ajst-12694	42	26	model	model	NOUN
ajst-12694	42	27	's	's	PART
ajst-12694	42	28	robustness	robustness	NOUN
ajst-12694	42	29	and	and	CCONJ
ajst-12694	42	30	generalization	generalization	NOUN
ajst-12694	42	31	.	.	PUNCT
ajst-12694	43	1	to	to	PART
ajst-12694	43	2	improve	improve	VERB
ajst-12694	43	3	the	the	DET
ajst-12694	43	4	model	model	NOUN
ajst-12694	43	5	's	's	PART
ajst-12694	43	6	robustness	robustness	NOUN
ajst-12694	43	7	and	and	CCONJ
ajst-12694	43	8	generalization	generalization	NOUN
ajst-12694	43	9	,	,	PUNCT
ajst-12694	43	10	pretrained	pretraine	VERB
ajst-12694	43	11	vision	vision	NOUN
ajst-12694	43	12	transformer	transformer	NOUN
ajst-12694	43	13	[	[	X
ajst-12694	43	14	8	8	NUM
ajst-12694	43	15	]	]	PUNCT
ajst-12694	43	16	and	and	CCONJ
ajst-12694	43	17	point	point	NOUN
ajst-12694	43	18	transformer	transformer	NOUN
ajst-12694	44	1	[	[	X
ajst-12694	44	2	9	9	NUM
ajst-12694	44	3	]	]	PUNCT
ajst-12694	44	4	models	model	NOUN
ajst-12694	44	5	are	be	AUX
ajst-12694	44	6	adopted	adopt	VERB
ajst-12694	44	7	as	as	ADP
ajst-12694	44	8	feature	feature	NOUN
ajst-12694	44	9	extractors	extractor	NOUN
ajst-12694	44	10	for	for	ADP
ajst-12694	44	11	extracting	extract	VERB
ajst-12694	44	12	2d	2d	NUM
ajst-12694	44	13	rgb	rgb	PROPN
ajst-12694	44	14	and	and	CCONJ
ajst-12694	44	15	3d	3d	NUM
ajst-12694	44	16	point	point	NOUN
ajst-12694	44	17	cloud	cloud	NOUN
ajst-12694	44	18	features	feature	NOUN
ajst-12694	44	19	,	,	PUNCT
ajst-12694	44	20	respectively	respectively	ADV
ajst-12694	44	21	.	.	PUNCT
ajst-12694	45	1	the	the	DET
ajst-12694	45	2	schematic	schematic	ADJ
ajst-12694	45	3	diagram	diagram	NOUN
ajst-12694	45	4	of	of	ADP
ajst-12694	45	5	the	the	DET
ajst-12694	45	6	industrial	industrial	ADJ
ajst-12694	45	7	anomaly	anomaly	NOUN
ajst-12694	45	8	detection	detection	NOUN
ajst-12694	45	9	model	model	NOUN
ajst-12694	45	10	based	base	VERB
ajst-12694	45	11	on	on	ADP
ajst-12694	45	12	visual	visual	ADJ
ajst-12694	45	13	transformer	transformer	NOUN
ajst-12694	45	14	is	be	AUX
ajst-12694	45	15	shown	show	VERB
ajst-12694	45	16	in	in	ADP
ajst-12694	45	17	figure.1	figure.1	PROPN
ajst-12694	45	18	.	.	PUNCT
ajst-12694	46	1	fpt	fpt	PROPN
ajst-12694	46	2	represents	represent	VERB
ajst-12694	46	3	the	the	DET
ajst-12694	46	4	point	point	NOUN
ajst-12694	46	5	transformer	transformer	NOUN
ajst-12694	46	6	module	module	NOUN
ajst-12694	46	7	for	for	ADP
ajst-12694	46	8	extracting	extract	VERB
ajst-12694	46	9	3d	3d	NUM
ajst-12694	46	10	point	point	NOUN
ajst-12694	46	11	cloud	cloud	NOUN
ajst-12694	46	12	features	feature	NOUN
ajst-12694	46	13	,	,	PUNCT
ajst-12694	46	14	while	while	SCONJ
ajst-12694	46	15	frgb	frgb	PROPN
ajst-12694	46	16	is	be	AUX
ajst-12694	46	17	the	the	DET
ajst-12694	46	18	vision	vision	NOUN
ajst-12694	46	19	transformer	transformer	NOUN
ajst-12694	46	20	module	module	NOUN
ajst-12694	46	21	for	for	ADP
ajst-12694	46	22	extracting	extract	VERB
ajst-12694	46	23	2d	2d	NUM
ajst-12694	46	24	rgb	rgb	PROPN
ajst-12694	46	25	features	feature	NOUN
ajst-12694	46	26	.	.	PUNCT
ajst-12694	47	1	the	the	DET
ajst-12694	47	2	point	point	NOUN
ajst-12694	47	3	feature	feature	NOUN
ajst-12694	47	4	alignment	alignment	NOUN
ajst-12694	47	5	module	module	NOUN
ajst-12694	47	6	aligns	align	VERB
ajst-12694	47	7	3d	3d	NUM
ajst-12694	47	8	point	point	NOUN
ajst-12694	47	9	cloud	cloud	NOUN
ajst-12694	47	10	features	feature	NOUN
ajst-12694	47	11	,	,	PUNCT
ajst-12694	47	12	and	and	CCONJ
ajst-12694	47	13	its	its	PRON
ajst-12694	47	14	output	output	NOUN
ajst-12694	47	15	,	,	PUNCT
ajst-12694	47	16	along	along	ADP
ajst-12694	47	17	with	with	ADP
ajst-12694	47	18	the	the	DET
ajst-12694	47	19	output	output	NOUN
ajst-12694	47	20	of	of	ADP
ajst-12694	47	21	frgb	frgb	PROPN
ajst-12694	47	22	,	,	PUNCT
ajst-12694	47	23	undergoes	undergo	VERB
ajst-12694	47	24	feature	feature	NOUN
ajst-12694	47	25	fusion	fusion	NOUN
ajst-12694	47	26	through	through	ADP
ajst-12694	47	27	the	the	DET
ajst-12694	47	28	unsupervised	unsupervised	ADJ
ajst-12694	47	29	feature	feature	NOUN
ajst-12694	47	30	fusion	fusion	NOUN
ajst-12694	47	31	module	module	NOUN
ajst-12694	47	32	.	.	PUNCT
ajst-12694	48	1	during	during	ADP
ajst-12694	48	2	fusion	fusion	NOUN
ajst-12694	48	3	,	,	PUNCT
ajst-12694	48	4	multiple	multiple	ADJ
ajst-12694	48	5	memory	memory	NOUN
ajst-12694	48	6	banks	bank	NOUN
ajst-12694	48	7	are	be	AUX
ajst-12694	48	8	simultaneously	simultaneously	ADV
ajst-12694	48	9	generated	generate	VERB
ajst-12694	48	10	.	.	PUNCT
ajst-12694	49	1	2.1.2	2.1.2	X
ajst-12694	49	2	.	.	PUNCT
ajst-12694	49	3	feature	feature	NOUN
ajst-12694	49	4	extractors	extractor	NOUN
ajst-12694	49	5	as	as	SCONJ
ajst-12694	49	6	shown	show	VERB
ajst-12694	49	7	in	in	ADP
ajst-12694	49	8	the	the	DET
ajst-12694	49	9	schematic	schematic	ADJ
ajst-12694	49	10	diagram	diagram	NOUN
ajst-12694	49	11	in	in	ADP
ajst-12694	49	12	figure.2	figure.2	PROPN
ajst-12694	49	13	,	,	PUNCT
ajst-12694	49	14	it	it	PRON
ajst-12694	49	15	illustrates	illustrate	VERB
ajst-12694	49	16	the	the	DET
ajst-12694	49	17	structure	structure	NOUN
ajst-12694	49	18	of	of	ADP
ajst-12694	49	19	the	the	DET
ajst-12694	49	20	point	point	NOUN
ajst-12694	49	21	transformer	transformer	NOUN
ajst-12694	49	22	model	model	NOUN
ajst-12694	49	23	,	,	PUNCT
ajst-12694	49	24	which	which	PRON
ajst-12694	49	25	serves	serve	VERB
ajst-12694	49	26	as	as	ADP
ajst-12694	49	27	the	the	DET
ajst-12694	49	28	feature	feature	NOUN
ajst-12694	49	29	extractor	extractor	NOUN
ajst-12694	49	30	for	for	ADP
ajst-12694	49	31	3d	3d	PROPN
ajst-12694	49	32	point	point	NOUN
ajst-12694	49	33	cloud	cloud	PROPN
ajst-12694	49	34	data	datum	NOUN
ajst-12694	49	35	.	.	PUNCT
ajst-12694	50	1	on	on	ADP
ajst-12694	50	2	the	the	DET
ajst-12694	50	3	left	left	ADJ
ajst-12694	50	4	side	side	NOUN
ajst-12694	50	5	,	,	PUNCT
ajst-12694	50	6	you	you	PRON
ajst-12694	50	7	can	can	AUX
ajst-12694	50	8	see	see	VERB
ajst-12694	50	9	the	the	DET
ajst-12694	50	10	process	process	NOUN
ajst-12694	50	11	of	of	ADP
ajst-12694	50	12	point	point	NOUN
ajst-12694	50	13	cloud	cloud	NOUN
ajst-12694	50	14	feature	feature	NOUN
ajst-12694	50	15	masking	masking	NOUN
ajst-12694	50	16	and	and	CCONJ
ajst-12694	50	17	embedding	embed	VERB
ajst-12694	50	18	.	.	PUNCT
ajst-12694	51	1	it	it	PRON
ajst-12694	51	2	involves	involve	VERB
ajst-12694	51	3	partitioning	partition	VERB
ajst-12694	51	4	the	the	DET
ajst-12694	51	5	input	input	NOUN
ajst-12694	51	6	point	point	NOUN
ajst-12694	51	7	cloud	cloud	NOUN
ajst-12694	51	8	data	datum	NOUN
ajst-12694	51	9	into	into	ADP
ajst-12694	51	10	blocks	block	NOUN
ajst-12694	51	11	,	,	PUNCT
ajst-12694	51	12	applying	apply	VERB
ajst-12694	51	13	random	random	ADJ
ajst-12694	51	14	masks	mask	NOUN
ajst-12694	51	15	,	,	PUNCT
ajst-12694	51	16	and	and	CCONJ
ajst-12694	51	17	embedding	embed	VERB
ajst-12694	51	18	them	they	PRON
ajst-12694	51	19	.	.	PUNCT
ajst-12694	52	1	this	this	PRON
ajst-12694	52	2	effectively	effectively	ADV
ajst-12694	52	3	creates	create	VERB
ajst-12694	52	4	partially	partially	ADV
ajst-12694	52	5	incomplete	incomplete	ADJ
ajst-12694	52	6	point	point	NOUN
ajst-12694	52	7	cloud	cloud	NOUN
ajst-12694	52	8	data	datum	NOUN
ajst-12694	52	9	,	,	PUNCT
ajst-12694	52	10	which	which	PRON
ajst-12694	52	11	is	be	AUX
ajst-12694	52	12	used	use	VERB
ajst-12694	52	13	for	for	ADP
ajst-12694	52	14	self	self	NOUN
ajst-12694	52	15	-	-	PUNCT
ajst-12694	52	16	supervised	supervise	VERB
ajst-12694	52	17	training	training	NOUN
ajst-12694	52	18	.	.	PUNCT
ajst-12694	53	1	on	on	ADP
ajst-12694	53	2	the	the	DET
ajst-12694	53	3	right	right	ADJ
ajst-12694	53	4	side	side	NOUN
ajst-12694	53	5	,	,	PUNCT
ajst-12694	53	6	there	there	PRON
ajst-12694	53	7	's	be	VERB
ajst-12694	53	8	the	the	DET
ajst-12694	53	9	pretraining	pretraine	VERB
ajst-12694	53	10	process	process	NOUN
ajst-12694	53	11	with	with	ADP
ajst-12694	53	12	an	an	DET
ajst-12694	53	13	autoencoder	autoencoder	NOUN
ajst-12694	53	14	.	.	PUNCT
ajst-12694	54	1	in	in	ADP
ajst-12694	54	2	this	this	DET
ajst-12694	54	3	process	process	NOUN
ajst-12694	54	4	,	,	PUNCT
ajst-12694	54	5	mask	mask	NOUN
ajst-12694	54	6	labels	label	NOUN
ajst-12694	54	7	are	be	AUX
ajst-12694	54	8	added	add	VERB
ajst-12694	54	9	to	to	ADP
ajst-12694	54	10	the	the	DET
ajst-12694	54	11	input	input	NOUN
ajst-12694	54	12	sequence	sequence	NOUN
ajst-12694	54	13	of	of	ADP
ajst-12694	54	14	the	the	DET
ajst-12694	54	15	decoder	decoder	NOUN
ajst-12694	54	16	to	to	PART
ajst-12694	54	17	reconstruct	reconstruct	VERB
ajst-12694	54	18	the	the	DET
ajst-12694	54	19	masked	masked	ADJ
ajst-12694	54	20	blocks	block	NOUN
ajst-12694	54	21	,	,	PUNCT
ajst-12694	54	22	facilitating	facilitate	VERB
ajst-12694	54	23	pretraining.[10	pretraining.[10	NUM
ajst-12694	54	24	]	]	PUNCT
ajst-12694	54	25	figure	figure	NOUN
ajst-12694	54	26	2	2	NUM
ajst-12694	54	27	.	.	PUNCT
ajst-12694	54	28	schematic	schematic	ADJ
ajst-12694	54	29	diagram	diagram	NOUN
ajst-12694	54	30	of	of	ADP
ajst-12694	54	31	the	the	DET
ajst-12694	54	32	point	point	NOUN
ajst-12694	54	33	transformer	transformer	NOUN
ajst-12694	54	34	model	model	NOUN
ajst-12694	54	35	structure	structure	NOUN
ajst-12694	54	36	12	12	NUM
ajst-12694	54	37	in	in	ADP
ajst-12694	54	38	recent	recent	ADJ
ajst-12694	54	39	years	year	NOUN
ajst-12694	54	40	,	,	PUNCT
ajst-12694	54	41	transformers	transformer	NOUN
ajst-12694	54	42	have	have	AUX
ajst-12694	54	43	emerged	emerge	VERB
ajst-12694	54	44	as	as	ADP
ajst-12694	54	45	an	an	DET
ajst-12694	54	46	alternative	alternative	NOUN
ajst-12694	54	47	to	to	ADP
ajst-12694	54	48	convolutional	convolutional	ADJ
ajst-12694	54	49	neural	neural	ADJ
ajst-12694	54	50	networks	network	NOUN
ajst-12694	54	51	(	(	PUNCT
ajst-12694	54	52	cnns	cnns	PROPN
ajst-12694	54	53	)	)	PUNCT
ajst-12694	54	54	in	in	ADP
ajst-12694	54	55	the	the	DET
ajst-12694	54	56	field	field	NOUN
ajst-12694	54	57	of	of	ADP
ajst-12694	54	58	image	image	NOUN
ajst-12694	54	59	processing	processing	NOUN
ajst-12694	54	60	.	.	PUNCT
ajst-12694	55	1	many	many	ADJ
ajst-12694	55	2	transformer	transformer	NOUN
ajst-12694	55	3	models	model	NOUN
ajst-12694	55	4	adopt	adopt	VERB
ajst-12694	55	5	training	training	NOUN
ajst-12694	55	6	strategies	strategy	NOUN
ajst-12694	55	7	similar	similar	ADJ
ajst-12694	55	8	to	to	ADP
ajst-12694	55	9	those	those	PRON
ajst-12694	55	10	used	use	VERB
ajst-12694	55	11	in	in	ADP
ajst-12694	55	12	natural	natural	ADJ
ajst-12694	55	13	language	language	NOUN
ajst-12694	55	14	processing	processing	NOUN
ajst-12694	55	15	,	,	PUNCT
ajst-12694	55	16	involving	involve	VERB
ajst-12694	55	17	pretraining	pretraine	VERB
ajst-12694	55	18	on	on	ADP
ajst-12694	55	19	large	large	ADJ
ajst-12694	55	20	datasets	dataset	NOUN
ajst-12694	55	21	and	and	CCONJ
ajst-12694	55	22	finetuning	finetune	VERB
ajst-12694	55	23	on	on	ADP
ajst-12694	55	24	target	target	NOUN
ajst-12694	55	25	data	datum	NOUN
ajst-12694	55	26	for	for	ADP
ajst-12694	55	27	domain	domain	NOUN
ajst-12694	55	28	-	-	PUNCT
ajst-12694	55	29	specific	specific	ADJ
ajst-12694	55	30	applications	application	NOUN
ajst-12694	55	31	.	.	PUNCT
ajst-12694	56	1	however	however	ADV
ajst-12694	56	2	,	,	PUNCT
ajst-12694	56	3	research	research	NOUN
ajst-12694	56	4	has	have	AUX
ajst-12694	56	5	shown	show	VERB
ajst-12694	56	6	that	that	SCONJ
ajst-12694	56	7	this	this	DET
ajst-12694	56	8	approach	approach	NOUN
ajst-12694	56	9	does	do	AUX
ajst-12694	56	10	not	not	PART
ajst-12694	56	11	necessarily	necessarily	ADV
ajst-12694	56	12	yield	yield	VERB
ajst-12694	56	13	significant	significant	ADJ
ajst-12694	56	14	improvements	improvement	NOUN
ajst-12694	56	15	over	over	ADP
ajst-12694	56	16	cnns	cnn	NOUN
ajst-12694	56	17	.	.	PUNCT
ajst-12694	57	1	instead	instead	ADV
ajst-12694	57	2	,	,	PUNCT
ajst-12694	57	3	it	it	PRON
ajst-12694	57	4	often	often	ADV
ajst-12694	57	5	requires	require	VERB
ajst-12694	57	6	more	more	ADJ
ajst-12694	57	7	computational	computational	ADJ
ajst-12694	57	8	power	power	NOUN
ajst-12694	57	9	and	and	CCONJ
ajst-12694	57	10	data	datum	NOUN
ajst-12694	57	11	due	due	ADP
ajst-12694	57	12	to	to	ADP
ajst-12694	57	13	the	the	DET
ajst-12694	57	14	extensive	extensive	ADJ
ajst-12694	57	15	use	use	NOUN
ajst-12694	57	16	of	of	ADP
ajst-12694	57	17	transformer	transformer	ADJ
ajst-12694	57	18	structures.the	structures.the	DET
ajst-12694	57	19	vision	vision	NOUN
ajst-12694	57	20	transformer	transformer	NOUN
ajst-12694	57	21	model	model	NOUN
ajst-12694	57	22	employed	employ	VERB
ajst-12694	57	23	in	in	ADP
ajst-12694	57	24	this	this	DET
ajst-12694	57	25	paper	paper	NOUN
ajst-12694	57	26	takes	take	VERB
ajst-12694	57	27	a	a	DET
ajst-12694	57	28	different	different	ADJ
ajst-12694	57	29	approach	approach	NOUN
ajst-12694	57	30	.	.	PUNCT
ajst-12694	58	1	it	it	PRON
ajst-12694	58	2	is	be	AUX
ajst-12694	58	3	trained	train	VERB
ajst-12694	58	4	using	use	VERB
ajst-12694	58	5	self	self	NOUN
ajst-12694	58	6	-	-	PUNCT
ajst-12694	58	7	supervised	supervise	VERB
ajst-12694	58	8	methods	method	NOUN
ajst-12694	58	9	on	on	ADP
ajst-12694	58	10	a	a	DET
ajst-12694	58	11	large	large	ADJ
ajst-12694	58	12	amount	amount	NOUN
ajst-12694	58	13	of	of	ADP
ajst-12694	58	14	data	datum	NOUN
ajst-12694	58	15	.	.	PUNCT
ajst-12694	59	1	experimental	experimental	ADJ
ajst-12694	59	2	results	result	NOUN
ajst-12694	59	3	indicate	indicate	VERB
ajst-12694	59	4	that	that	SCONJ
ajst-12694	59	5	it	it	PRON
ajst-12694	59	6	outperforms	outperform	VERB
ajst-12694	59	7	traditional	traditional	ADJ
ajst-12694	59	8	supervised	supervised	ADJ
ajst-12694	59	9	pretraining	pretraine	VERB
ajst-12694	59	10	models.[11	models.[11	NOUN
ajst-12694	59	11	]	]	PUNCT
ajst-12694	59	12	the	the	DET
ajst-12694	59	13	structure	structure	NOUN
ajst-12694	59	14	of	of	ADP
ajst-12694	59	15	the	the	DET
ajst-12694	59	16	vision	vision	NOUN
ajst-12694	59	17	transformer	transformer	NOUN
ajst-12694	59	18	model	model	NOUN
ajst-12694	59	19	consists	consist	VERB
ajst-12694	59	20	of	of	ADP
ajst-12694	59	21	a	a	DET
ajst-12694	59	22	teacher	teacher	NOUN
ajst-12694	59	23	network	network	NOUN
ajst-12694	59	24	and	and	CCONJ
ajst-12694	59	25	a	a	DET
ajst-12694	59	26	student	student	NOUN
ajst-12694	59	27	network	network	NOUN
ajst-12694	59	28	,	,	PUNCT
ajst-12694	59	29	forming	form	VERB
ajst-12694	59	30	a	a	DET
ajst-12694	59	31	knowledge	knowledge	NOUN
ajst-12694	59	32	distillation	distillation	NOUN
ajst-12694	59	33	-	-	PUNCT
ajst-12694	59	34	based	base	VERB
ajst-12694	59	35	self	self	NOUN
ajst-12694	59	36	-	-	PUNCT
ajst-12694	59	37	supervised	supervise	VERB
ajst-12694	59	38	network	network	NOUN
ajst-12694	59	39	.	.	PUNCT
ajst-12694	60	1	here	here	ADV
ajst-12694	60	2	,	,	PUNCT
ajst-12694	60	3	'	'	PUNCT
ajst-12694	60	4	x	x	X
ajst-12694	60	5	'	'	PUNCT
ajst-12694	60	6	represents	represent	VERB
ajst-12694	60	7	the	the	DET
ajst-12694	60	8	input	input	NOUN
ajst-12694	60	9	image	image	NOUN
ajst-12694	60	10	,	,	PUNCT
ajst-12694	60	11	and	and	CCONJ
ajst-12694	60	12	'	'	PUNCT
ajst-12694	60	13	x1	x1	NUM
ajst-12694	60	14	'	'	PUNCT
ajst-12694	60	15	and	and	CCONJ
ajst-12694	60	16	'	'	PUNCT
ajst-12694	60	17	x2	x2	NUM
ajst-12694	60	18	'	'	PUNCT
ajst-12694	60	19	are	be	AUX
ajst-12694	60	20	random	random	ADJ
ajst-12694	60	21	transformations	transformation	NOUN
ajst-12694	60	22	of	of	ADP
ajst-12694	60	23	the	the	DET
ajst-12694	60	24	input	input	NOUN
ajst-12694	60	25	image	image	NOUN
ajst-12694	60	26	'	'	NOUN
ajst-12694	60	27	x	x	NOUN
ajst-12694	60	28	'	'	NOUN
ajst-12694	60	29	.	.	PUNCT
ajst-12694	61	1	both	both	CCONJ
ajst-12694	61	2	the	the	DET
ajst-12694	61	3	teacher	teacher	NOUN
ajst-12694	61	4	and	and	CCONJ
ajst-12694	61	5	student	student	NOUN
ajst-12694	61	6	networks	network	NOUN
ajst-12694	61	7	share	share	VERB
ajst-12694	61	8	the	the	DET
ajst-12694	61	9	same	same	ADJ
ajst-12694	61	10	architecture	architecture	NOUN
ajst-12694	61	11	but	but	CCONJ
ajst-12694	61	12	have	have	VERB
ajst-12694	61	13	different	different	ADJ
ajst-12694	61	14	parameters	parameter	NOUN
ajst-12694	61	15	.	.	PUNCT
ajst-12694	62	1	the	the	DET
ajst-12694	62	2	teacher	teacher	NOUN
ajst-12694	62	3	network	network	NOUN
ajst-12694	62	4	's	's	PART
ajst-12694	62	5	output	output	NOUN
ajst-12694	62	6	is	be	AUX
ajst-12694	62	7	centered	center	VERB
ajst-12694	62	8	around	around	ADP
ajst-12694	62	9	the	the	DET
ajst-12694	62	10	batch	batch	NOUN
ajst-12694	62	11	-	-	PUNCT
ajst-12694	62	12	wise	wise	ADJ
ajst-12694	62	13	mean	mean	NOUN
ajst-12694	62	14	.	.	PUNCT
ajst-12694	63	1	the	the	DET
ajst-12694	63	2	output	output	NOUN
ajst-12694	63	3	features	feature	NOUN
ajst-12694	63	4	of	of	ADP
ajst-12694	63	5	each	each	DET
ajst-12694	63	6	network	network	NOUN
ajst-12694	63	7	are	be	AUX
ajst-12694	63	8	normalized	normalize	VERB
ajst-12694	63	9	using	use	VERB
ajst-12694	63	10	the	the	DET
ajst-12694	63	11	softmax	softmax	NOUN
ajst-12694	63	12	function	function	NOUN
ajst-12694	63	13	,	,	PUNCT
ajst-12694	63	14	and	and	CCONJ
ajst-12694	63	15	their	their	PRON
ajst-12694	63	16	similarity	similarity	NOUN
ajst-12694	63	17	is	be	AUX
ajst-12694	63	18	measured	measure	VERB
ajst-12694	63	19	using	use	VERB
ajst-12694	63	20	the	the	DET
ajst-12694	63	21	cross	cross	ADJ
ajst-12694	63	22	-	-	ADJ
ajst-12694	63	23	entropy	entropy	ADJ
ajst-12694	63	24	loss	loss	NOUN
ajst-12694	63	25	function	function	NOUN
ajst-12694	63	26	.	.	PUNCT
ajst-12694	64	1	knowledge	knowledge	NOUN
ajst-12694	64	2	distillation	distillation	NOUN
ajst-12694	64	3	is	be	AUX
ajst-12694	64	4	achieved	achieve	VERB
ajst-12694	64	5	by	by	ADP
ajst-12694	64	6	applying	apply	VERB
ajst-12694	64	7	the	the	DET
ajst-12694	64	8	stopgradient	stopgradient	NOUN
ajst-12694	64	9	(	(	PUNCT
ajst-12694	64	10	sg	sg	NOUN
ajst-12694	64	11	)	)	PUNCT
ajst-12694	64	12	operator	operator	NOUN
ajst-12694	64	13	to	to	ADP
ajst-12694	64	14	the	the	DET
ajst-12694	64	15	teacher	teacher	NOUN
ajst-12694	64	16	network	network	NOUN
ajst-12694	64	17	,	,	PUNCT
ajst-12694	64	18	allowing	allow	VERB
ajst-12694	64	19	gradient	gradient	ADJ
ajst-12694	64	20	propagation	propagation	NOUN
ajst-12694	64	21	and	and	CCONJ
ajst-12694	64	22	updates	update	NOUN
ajst-12694	64	23	only	only	ADV
ajst-12694	64	24	through	through	ADP
ajst-12694	64	25	the	the	DET
ajst-12694	64	26	student	student	NOUN
ajst-12694	64	27	network	network	NOUN
ajst-12694	64	28	.	.	PUNCT
ajst-12694	65	1	the	the	DET
ajst-12694	65	2	teacher	teacher	NOUN
ajst-12694	65	3	network	network	NOUN
ajst-12694	65	4	's	's	PART
ajst-12694	65	5	parameters	parameter	NOUN
ajst-12694	65	6	are	be	AUX
ajst-12694	65	7	then	then	ADV
ajst-12694	65	8	updated	update	VERB
ajst-12694	65	9	using	use	VERB
ajst-12694	65	10	the	the	DET
ajst-12694	65	11	moving	move	VERB
ajst-12694	65	12	average	average	NOUN
ajst-12694	65	13	of	of	ADP
ajst-12694	65	14	the	the	DET
ajst-12694	65	15	student	student	NOUN
ajst-12694	65	16	network	network	NOUN
ajst-12694	65	17	's	's	PART
ajst-12694	65	18	parameters	parameter	NOUN
ajst-12694	65	19	.	.	PUNCT
ajst-12694	66	1	2.1.3	2.1.3	NUM
ajst-12694	66	2	.	.	PUNCT
ajst-12694	66	3	feature	feature	NOUN
ajst-12694	66	4	alignment	alignment	NOUN
ajst-12694	66	5	the	the	DET
ajst-12694	66	6	english	english	ADJ
ajst-12694	66	7	translation	translation	NOUN
ajst-12694	66	8	for	for	ADP
ajst-12694	66	9	the	the	DET
ajst-12694	66	10	provided	provide	VERB
ajst-12694	66	11	text	text	NOUN
ajst-12694	66	12	is	be	AUX
ajst-12694	66	13	as	as	SCONJ
ajst-12694	66	14	follows	follow	VERB
ajst-12694	66	15	:	:	PUNCT
ajst-12694	66	16	the	the	DET
ajst-12694	66	17	input	input	NOUN
ajst-12694	66	18	point	point	NOUN
ajst-12694	66	19	cloud	cloud	NOUN
ajst-12694	66	20	feature	feature	NOUN
ajst-12694	66	21	,	,	PUNCT
ajst-12694	66	22	denoted	denote	VERB
ajst-12694	66	23	as	as	ADP
ajst-12694	66	24	"	"	PUNCT
ajst-12694	66	25	p	p	NOUN
ajst-12694	66	26	,	,	PUNCT
ajst-12694	66	27	"	"	PUNCT
ajst-12694	66	28	consists	consist	VERB
ajst-12694	66	29	of	of	ADP
ajst-12694	66	30	a	a	DET
ajst-12694	66	31	sequence	sequence	NOUN
ajst-12694	66	32	of	of	ADP
ajst-12694	66	33	n	n	NUM
ajst-12694	66	34	points	point	NOUN
ajst-12694	66	35	.	.	PUNCT
ajst-12694	67	1	after	after	ADP
ajst-12694	67	2	undergoing	undergo	VERB
ajst-12694	67	3	farthest	farth	ADJ
ajst-12694	67	4	point	point	NOUN
ajst-12694	67	5	sampling	sample	VERB
ajst-12694	67	6	[	[	X
ajst-12694	67	7	12	12	NUM
ajst-12694	67	8	]	]	PUNCT
ajst-12694	67	9	,	,	PUNCT
ajst-12694	67	10	the	the	DET
ajst-12694	67	11	feature	feature	NOUN
ajst-12694	67	12	points	point	NOUN
ajst-12694	67	13	are	be	AUX
ajst-12694	67	14	divided	divide	VERB
ajst-12694	67	15	into	into	ADP
ajst-12694	67	16	m	m	PROPN
ajst-12694	67	17	groups	group	NOUN
ajst-12694	67	18	,	,	PUNCT
ajst-12694	67	19	with	with	ADP
ajst-12694	67	20	each	each	DET
ajst-12694	67	21	group	group	NOUN
ajst-12694	67	22	containing	contain	VERB
ajst-12694	67	23	s	s	NOUN
ajst-12694	67	24	points	point	NOUN
ajst-12694	67	25	.	.	PUNCT
ajst-12694	68	1	subsequently	subsequently	ADV
ajst-12694	68	2	,	,	PUNCT
ajst-12694	68	3	a	a	DET
ajst-12694	68	4	point	point	NOUN
ajst-12694	68	5	transformer	transformer	NOUN
ajst-12694	68	6	encodes	encode	NOUN
ajst-12694	68	7	each	each	DET
ajst-12694	68	8	point	point	NOUN
ajst-12694	68	9	within	within	ADP
ajst-12694	68	10	each	each	DET
ajst-12694	68	11	group	group	NOUN
ajst-12694	68	12	into	into	ADP
ajst-12694	68	13	a	a	DET
ajst-12694	68	14	feature	feature	NOUN
ajst-12694	68	15	vector	vector	NOUN
ajst-12694	68	16	.	.	PUNCT
ajst-12694	69	1	the	the	DET
ajst-12694	69	2	output	output	NOUN
ajst-12694	69	3	"	"	PUNCT
ajst-12694	69	4	g	g	NOUN
ajst-12694	69	5	"	"	PUNCT
ajst-12694	69	6	of	of	ADP
ajst-12694	69	7	the	the	DET
ajst-12694	69	8	point	point	NOUN
ajst-12694	69	9	transformer	transformer	NOUN
ajst-12694	69	10	consists	consist	NOUN
ajst-12694	69	11	of	of	ADP
ajst-12694	69	12	m	m	PROPN
ajst-12694	69	13	features	feature	NOUN
ajst-12694	69	14	,	,	PUNCT
ajst-12694	69	15	organized	organize	VERB
ajst-12694	69	16	into	into	ADP
ajst-12694	69	17	point	point	NOUN
ajst-12694	69	18	feature	feature	NOUN
ajst-12694	69	19	groups	group	NOUN
ajst-12694	69	20	,	,	PUNCT
ajst-12694	69	21	with	with	ADP
ajst-12694	69	22	each	each	DET
ajst-12694	69	23	group	group	NOUN
ajst-12694	69	24	having	have	VERB
ajst-12694	69	25	a	a	DET
ajst-12694	69	26	single	single	ADJ
ajst-12694	69	27	-	-	PUNCT
ajst-12694	69	28	point	point	NOUN
ajst-12694	69	29	feature	feature	NOUN
ajst-12694	69	30	.	.	PUNCT
ajst-12694	70	1	finally	finally	ADV
ajst-12694	70	2	,	,	PUNCT
ajst-12694	70	3	these	these	DET
ajst-12694	70	4	feature	feature	NOUN
ajst-12694	70	5	vectors	vector	NOUN
ajst-12694	70	6	are	be	AUX
ajst-12694	70	7	fed	feed	VERB
ajst-12694	70	8	into	into	ADP
ajst-12694	70	9	the	the	DET
ajst-12694	70	10	point	point	NOUN
ajst-12694	70	11	transformer	transformer	NOUN
ajst-12694	70	12	for	for	ADP
ajst-12694	70	13	feature	feature	NOUN
ajst-12694	70	14	extraction.due	extraction.due	NOUN
ajst-12694	70	15	to	to	ADP
ajst-12694	70	16	the	the	DET
ajst-12694	70	17	non	non	ADJ
ajst-12694	70	18	-	-	ADJ
ajst-12694	70	19	uniform	uniform	ADJ
ajst-12694	70	20	spatial	spatial	ADJ
ajst-12694	70	21	distribution	distribution	NOUN
ajst-12694	70	22	of	of	ADP
ajst-12694	70	23	point	point	NOUN
ajst-12694	70	24	features	feature	NOUN
ajst-12694	70	25	after	after	ADP
ajst-12694	70	26	farthest	farth	ADJ
ajst-12694	70	27	point	point	NOUN
ajst-12694	70	28	sampling	sampling	NOUN
ajst-12694	70	29	,	,	PUNCT
ajst-12694	70	30	there	there	PRON
ajst-12694	70	31	is	be	VERB
ajst-12694	70	32	an	an	DET
ajst-12694	70	33	issue	issue	NOUN
ajst-12694	70	34	of	of	ADP
ajst-12694	70	35	uneven	uneven	ADJ
ajst-12694	70	36	feature	feature	NOUN
ajst-12694	70	37	density	density	NOUN
ajst-12694	70	38	.	.	PUNCT
ajst-12694	71	1	to	to	PART
ajst-12694	71	2	address	address	VERB
ajst-12694	71	3	this	this	DET
ajst-12694	71	4	problem	problem	NOUN
ajst-12694	71	5	,	,	PUNCT
ajst-12694	71	6	the	the	DET
ajst-12694	71	7	original	original	ADJ
ajst-12694	71	8	features	feature	NOUN
ajst-12694	71	9	are	be	AUX
ajst-12694	71	10	interpolated	interpolate	VERB
ajst-12694	71	11	with	with	ADP
ajst-12694	71	12	the	the	DET
ajst-12694	71	13	features	feature	NOUN
ajst-12694	71	14	extracted	extract	VERB
ajst-12694	71	15	by	by	ADP
ajst-12694	71	16	the	the	DET
ajst-12694	71	17	point	point	NOUN
ajst-12694	71	18	transformer	transformer	NOUN
ajst-12694	71	19	.	.	PUNCT
ajst-12694	72	1	this	this	DET
ajst-12694	72	2	interpolation	interpolation	NOUN
ajst-12694	72	3	is	be	AUX
ajst-12694	72	4	performed	perform	VERB
ajst-12694	72	5	for	for	ADP
ajst-12694	72	6	each	each	DET
ajst-12694	72	7	point	point	NOUN
ajst-12694	72	8	in	in	ADP
ajst-12694	72	9	the	the	DET
ajst-12694	72	10	input	input	NOUN
ajst-12694	72	11	point	point	NOUN
ajst-12694	72	12	cloud	cloud	NOUN
ajst-12694	72	13	,	,	PUNCT
ajst-12694	72	14	utilizing	utilize	VERB
ajst-12694	72	15	inverse	inverse	NOUN
ajst-12694	72	16	distance	distance	NOUN
ajst-12694	72	17	weighting	weighting	NOUN
ajst-12694	72	18	based	base	VERB
ajst-12694	72	19	on	on	ADP
ajst-12694	72	20	the	the	DET
ajst-12694	72	21	m	m	PROPN
ajst-12694	72	22	point	point	NOUN
ajst-12694	72	23	features	feature	NOUN
ajst-12694	72	24	and	and	CCONJ
ajst-12694	72	25	m	m	PROPN
ajst-12694	72	26	group	group	NOUN
ajst-12694	72	27	center	center	NOUN
ajst-12694	72	28	points	point	NOUN
ajst-12694	72	29	.	.	PUNCT
ajst-12694	73	1	2.2	2.2	NUM
ajst-12694	73	2	.	.	PUNCT
ajst-12694	74	1	metrics	metric	NOUN
ajst-12694	74	2	2.2.1	2.2.1	NUM
ajst-12694	74	3	.	.	PUNCT
ajst-12694	75	1	assessment	assessment	NOUN
ajst-12694	75	2	criteria	criteria	VERB
ajst-12694	75	3	the	the	DET
ajst-12694	75	4	concept	concept	NOUN
ajst-12694	75	5	of	of	ADP
ajst-12694	75	6	a	a	DET
ajst-12694	75	7	"	"	PUNCT
ajst-12694	75	8	confusion	confusion	NOUN
ajst-12694	75	9	matrix	matrix	NOUN
ajst-12694	75	10	,	,	PUNCT
ajst-12694	75	11	"	"	PUNCT
ajst-12694	75	12	which	which	PRON
ajst-12694	75	13	includes	include	VERB
ajst-12694	75	14	four	four	NUM
ajst-12694	75	15	values	value	NOUN
ajst-12694	75	16	:	:	PUNCT
ajst-12694	75	17	true	true	ADJ
ajst-12694	75	18	positive	positive	ADJ
ajst-12694	75	19	(	(	PUNCT
ajst-12694	75	20	tp	tp	NOUN
ajst-12694	75	21	)	)	PUNCT
ajst-12694	75	22	,	,	PUNCT
ajst-12694	75	23	false	false	ADJ
ajst-12694	75	24	positive	positive	ADJ
ajst-12694	75	25	(	(	PUNCT
ajst-12694	75	26	fp	fp	NOUN
ajst-12694	75	27	)	)	PUNCT
ajst-12694	75	28	,	,	PUNCT
ajst-12694	75	29	true	true	ADJ
ajst-12694	75	30	negative	negative	ADJ
ajst-12694	75	31	(	(	PUNCT
ajst-12694	75	32	tn	tn	NOUN
ajst-12694	75	33	)	)	PUNCT
ajst-12694	75	34	,	,	PUNCT
ajst-12694	75	35	and	and	CCONJ
ajst-12694	75	36	false	false	ADJ
ajst-12694	75	37	negative	negative	ADJ
ajst-12694	75	38	(	(	PUNCT
ajst-12694	75	39	fn	fn	NOUN
ajst-12694	75	40	)	)	PUNCT
ajst-12694	75	41	,	,	PUNCT
ajst-12694	75	42	is	be	AUX
ajst-12694	75	43	an	an	DET
ajst-12694	75	44	indispensable	indispensable	ADJ
ajst-12694	75	45	aspect	aspect	NOUN
ajst-12694	75	46	of	of	ADP
ajst-12694	75	47	evaluation	evaluation	NOUN
ajst-12694	75	48	metrics	metric	NOUN
ajst-12694	75	49	.	.	PUNCT
ajst-12694	76	1	for	for	ADP
ajst-12694	76	2	industrial	industrial	ADJ
ajst-12694	76	3	anomaly	anomaly	NOUN
ajst-12694	76	4	detection	detection	NOUN
ajst-12694	76	5	,	,	PUNCT
ajst-12694	76	6	evaluation	evaluation	NOUN
ajst-12694	76	7	metrics	metric	NOUN
ajst-12694	76	8	can	can	AUX
ajst-12694	76	9	be	be	AUX
ajst-12694	76	10	categorized	categorize	VERB
ajst-12694	76	11	into	into	ADP
ajst-12694	76	12	classification	classification	NOUN
ajst-12694	76	13	performance	performance	NOUN
ajst-12694	76	14	indicators	indicator	NOUN
ajst-12694	76	15	and	and	CCONJ
ajst-12694	76	16	segmentation	segmentation	NOUN
ajst-12694	76	17	performance	performance	NOUN
ajst-12694	76	18	indicators	indicator	NOUN
ajst-12694	76	19	.	.	PUNCT
ajst-12694	77	1	in	in	ADP
ajst-12694	77	2	practical	practical	ADJ
ajst-12694	77	3	applications	application	NOUN
ajst-12694	77	4	,	,	PUNCT
ajst-12694	77	5	there	there	PRON
ajst-12694	77	6	is	be	VERB
ajst-12694	77	7	also	also	ADV
ajst-12694	77	8	a	a	DET
ajst-12694	77	9	focus	focus	NOUN
ajst-12694	77	10	on	on	ADP
ajst-12694	77	11	the	the	DET
ajst-12694	77	12	model	model	NOUN
ajst-12694	77	13	's	's	PART
ajst-12694	77	14	execution	execution	NOUN
ajst-12694	77	15	performance	performance	NOUN
ajst-12694	77	16	,	,	PUNCT
ajst-12694	77	17	which	which	PRON
ajst-12694	77	18	typically	typically	ADV
ajst-12694	77	19	reflects	reflect	VERB
ajst-12694	77	20	the	the	DET
ajst-12694	77	21	model	model	NOUN
ajst-12694	77	22	's	's	PART
ajst-12694	77	23	practicality	practicality	NOUN
ajst-12694	77	24	.	.	PUNCT
ajst-12694	78	1	therefore	therefore	ADV
ajst-12694	78	2	,	,	PUNCT
ajst-12694	78	3	certain	certain	ADJ
ajst-12694	78	4	performance	performance	NOUN
ajst-12694	78	5	metrics	metric	NOUN
ajst-12694	78	6	are	be	AUX
ajst-12694	78	7	needed	need	VERB
ajst-12694	78	8	to	to	PART
ajst-12694	78	9	measure	measure	VERB
ajst-12694	78	10	the	the	DET
ajst-12694	78	11	model	model	NOUN
ajst-12694	78	12	.	.	PUNCT
ajst-12694	79	1	detection	detection	NOUN
ajst-12694	79	2	classification	classification	NOUN
ajst-12694	79	3	metrics	metric	NOUN
ajst-12694	79	4	.	.	PUNCT
ajst-12694	80	1	detection	detection	NOUN
ajst-12694	80	2	classification	classification	NOUN
ajst-12694	80	3	performance	performance	NOUN
ajst-12694	80	4	metrics	metric	NOUN
ajst-12694	80	5	include	include	VERB
ajst-12694	80	6	accuracy	accuracy	NOUN
ajst-12694	80	7	,	,	PUNCT
ajst-12694	80	8	recall	recall	NOUN
ajst-12694	80	9	,	,	PUNCT
ajst-12694	80	10	and	and	CCONJ
ajst-12694	80	11	precision	precision	NOUN
ajst-12694	80	12	.	.	PUNCT
ajst-12694	81	1	accuracy	accuracy	NOUN
ajst-12694	81	2	measures	measure	VERB
ajst-12694	81	3	the	the	DET
ajst-12694	81	4	proportion	proportion	NOUN
ajst-12694	81	5	of	of	ADP
ajst-12694	81	6	correctly	correctly	ADV
ajst-12694	81	7	classified	classify	VERB
ajst-12694	81	8	samples	sample	NOUN
ajst-12694	81	9	to	to	ADP
ajst-12694	81	10	all	all	DET
ajst-12694	81	11	samples	sample	NOUN
ajst-12694	81	12	.	.	PUNCT
ajst-12694	82	1	recall	recall	PROPN
ajst-12694	82	2	represents	represent	VERB
ajst-12694	82	3	the	the	DET
ajst-12694	82	4	proportion	proportion	NOUN
ajst-12694	82	5	of	of	ADP
ajst-12694	82	6	all	all	DET
ajst-12694	82	7	detected	detect	VERB
ajst-12694	82	8	defect	defect	NOUN
ajst-12694	82	9	samples	sample	NOUN
ajst-12694	82	10	to	to	ADP
ajst-12694	82	11	the	the	DET
ajst-12694	82	12	total	total	ADJ
ajst-12694	82	13	number	number	NOUN
ajst-12694	82	14	of	of	ADP
ajst-12694	82	15	samples	sample	NOUN
ajst-12694	82	16	,	,	PUNCT
ajst-12694	82	17	while	while	SCONJ
ajst-12694	82	18	precision	precision	NOUN
ajst-12694	82	19	measures	measure	VERB
ajst-12694	82	20	the	the	DET
ajst-12694	82	21	proportion	proportion	NOUN
ajst-12694	82	22	of	of	ADP
ajst-12694	82	23	correctly	correctly	ADV
ajst-12694	82	24	predicted	predict	VERB
ajst-12694	82	25	defect	defect	NOUN
ajst-12694	82	26	samples.in	samples.in	NUM
ajst-12694	82	27	practical	practical	ADJ
ajst-12694	82	28	applications	application	NOUN
ajst-12694	82	29	,	,	PUNCT
ajst-12694	82	30	we	we	PRON
ajst-12694	82	31	are	be	AUX
ajst-12694	82	32	more	more	ADV
ajst-12694	82	33	concerned	concerned	ADJ
ajst-12694	82	34	with	with	ADP
ajst-12694	82	35	the	the	DET
ajst-12694	82	36	proportion	proportion	NOUN
ajst-12694	82	37	of	of	ADP
ajst-12694	82	38	undetected	undetected	ADJ
ajst-12694	82	39	anomalies	anomaly	NOUN
ajst-12694	82	40	among	among	ADP
ajst-12694	82	41	all	all	DET
ajst-12694	82	42	anomaly	anomaly	NOUN
ajst-12694	82	43	samples	sample	NOUN
ajst-12694	82	44	and	and	CCONJ
ajst-12694	82	45	the	the	DET
ajst-12694	82	46	proportion	proportion	NOUN
ajst-12694	82	47	of	of	ADP
ajst-12694	82	48	wrongly	wrongly	ADV
ajst-12694	82	49	detected	detect	VERB
ajst-12694	82	50	samples	sample	NOUN
ajst-12694	82	51	among	among	ADP
ajst-12694	82	52	those	those	PRON
ajst-12694	82	53	classified	classify	VERB
ajst-12694	82	54	as	as	ADP
ajst-12694	82	55	anomalies	anomaly	NOUN
ajst-12694	82	56	.	.	PUNCT
ajst-12694	83	1	this	this	PRON
ajst-12694	83	2	directly	directly	ADV
ajst-12694	83	3	relates	relate	VERB
ajst-12694	83	4	to	to	ADP
ajst-12694	83	5	the	the	DET
ajst-12694	83	6	practical	practical	ADJ
ajst-12694	83	7	usability	usability	NOUN
ajst-12694	83	8	of	of	ADP
ajst-12694	83	9	our	our	PRON
ajst-12694	83	10	model	model	NOUN
ajst-12694	83	11	.	.	PUNCT
ajst-12694	84	1	typically	typically	ADV
ajst-12694	84	2	,	,	PUNCT
ajst-12694	84	3	the	the	DET
ajst-12694	84	4	false	false	ADJ
ajst-12694	84	5	negatives	negative	NOUN
ajst-12694	84	6	rate	rate	NOUN
ajst-12694	84	7	(	(	PUNCT
ajst-12694	84	8	fnr	fnr	NOUN
ajst-12694	84	9	)	)	PUNCT
ajst-12694	84	10	is	be	AUX
ajst-12694	84	11	used	use	VERB
ajst-12694	84	12	to	to	PART
ajst-12694	84	13	represent	represent	VERB
ajst-12694	84	14	the	the	DET
ajst-12694	84	15	former	former	ADJ
ajst-12694	84	16	,	,	PUNCT
ajst-12694	84	17	while	while	SCONJ
ajst-12694	84	18	the	the	DET
ajst-12694	84	19	false	false	ADJ
ajst-12694	84	20	positive	positive	ADJ
ajst-12694	84	21	rate	rate	NOUN
ajst-12694	84	22	(	(	PUNCT
ajst-12694	84	23	fpr	fpr	NOUN
ajst-12694	84	24	)	)	PUNCT
ajst-12694	84	25	represents	represent	VERB
ajst-12694	84	26	the	the	DET
ajst-12694	84	27	latter	latter	ADJ
ajst-12694	84	28	.	.	PUNCT
ajst-12694	85	1	when	when	SCONJ
ajst-12694	85	2	using	use	VERB
ajst-12694	85	3	evaluation	evaluation	NOUN
ajst-12694	85	4	metrics	metric	NOUN
ajst-12694	85	5	,	,	PUNCT
ajst-12694	85	6	relying	rely	VERB
ajst-12694	85	7	on	on	ADP
ajst-12694	85	8	a	a	DET
ajst-12694	85	9	single	single	ADJ
ajst-12694	85	10	metric	metric	NOUN
ajst-12694	85	11	can	can	AUX
ajst-12694	85	12	sometimes	sometimes	ADV
ajst-12694	85	13	yield	yield	VERB
ajst-12694	85	14	misleading	misleading	ADJ
ajst-12694	85	15	results	result	NOUN
ajst-12694	85	16	.	.	PUNCT
ajst-12694	86	1	for	for	ADP
ajst-12694	86	2	example	example	NOUN
ajst-12694	86	3	,	,	PUNCT
ajst-12694	86	4	using	use	VERB
ajst-12694	86	5	fnr	fnr	PROPN
ajst-12694	86	6	as	as	SCONJ
ajst-12694	86	7	the	the	DET
ajst-12694	86	8	sole	sole	ADJ
ajst-12694	86	9	criterion	criterion	NOUN
ajst-12694	86	10	would	would	AUX
ajst-12694	86	11	encourage	encourage	VERB
ajst-12694	86	12	a	a	DET
ajst-12694	86	13	model	model	NOUN
ajst-12694	86	14	to	to	PART
ajst-12694	86	15	classify	classify	VERB
ajst-12694	86	16	all	all	DET
ajst-12694	86	17	samples	sample	NOUN
ajst-12694	86	18	as	as	ADP
ajst-12694	86	19	anomalies	anomaly	NOUN
ajst-12694	86	20	to	to	PART
ajst-12694	86	21	achieve	achieve	VERB
ajst-12694	86	22	an	an	DET
ajst-12694	86	23	fnr	fnr	NOUN
ajst-12694	86	24	of	of	ADP
ajst-12694	86	25	0	0	NUM
ajst-12694	86	26	.	.	PUNCT
ajst-12694	86	27	therefore	therefore	ADV
ajst-12694	86	28	,	,	PUNCT
ajst-12694	86	29	evaluating	evaluate	VERB
ajst-12694	86	30	a	a	DET
ajst-12694	86	31	model	model	NOUN
ajst-12694	86	32	often	often	ADV
ajst-12694	86	33	requires	require	VERB
ajst-12694	86	34	a	a	DET
ajst-12694	86	35	comprehensive	comprehensive	ADJ
ajst-12694	86	36	approach.the	approach.the	DET
ajst-12694	86	37	use	use	NOUN
ajst-12694	86	38	of	of	ADP
ajst-12694	86	39	the	the	DET
ajst-12694	86	40	auc	auc	NOUN
ajst-12694	86	41	-	-	PUNCT
ajst-12694	86	42	roc	roc	NOUN
ajst-12694	86	43	curve	curve	NOUN
ajst-12694	86	44	helps	help	VERB
ajst-12694	86	45	balance	balance	VERB
ajst-12694	86	46	the	the	DET
ajst-12694	86	47	trade	trade	NOUN
ajst-12694	86	48	-	-	PUNCT
ajst-12694	86	49	off	off	NOUN
ajst-12694	86	50	between	between	ADP
ajst-12694	86	51	tpr	tpr	PROPN
ajst-12694	86	52	and	and	CCONJ
ajst-12694	86	53	fpr	fpr	PROPN
ajst-12694	86	54	.	.	PUNCT
ajst-12694	87	1	roc	roc	PROPN
ajst-12694	87	2	refers	refer	VERB
ajst-12694	87	3	to	to	ADP
ajst-12694	87	4	the	the	DET
ajst-12694	87	5	curve	curve	NOUN
ajst-12694	87	6	between	between	ADP
ajst-12694	87	7	tpr	tpr	PROPN
ajst-12694	87	8	and	and	CCONJ
ajst-12694	87	9	fpr	fpr	NOUN
ajst-12694	87	10	,	,	PUNCT
ajst-12694	87	11	and	and	CCONJ
ajst-12694	87	12	auc	auc	NOUN
ajst-12694	87	13	represents	represent	VERB
ajst-12694	87	14	the	the	DET
ajst-12694	87	15	area	area	NOUN
ajst-12694	87	16	under	under	ADP
ajst-12694	87	17	the	the	DET
ajst-12694	87	18	roc	roc	PROPN
ajst-12694	87	19	curve	curve	NOUN
ajst-12694	87	20	.	.	PUNCT
ajst-12694	88	1	when	when	SCONJ
ajst-12694	88	2	the	the	DET
ajst-12694	88	3	area	area	NOUN
ajst-12694	88	4	under	under	ADP
ajst-12694	88	5	the	the	DET
ajst-12694	88	6	curve	curve	NOUN
ajst-12694	88	7	is	be	AUX
ajst-12694	88	8	maximized	maximize	VERB
ajst-12694	88	9	,	,	PUNCT
ajst-12694	88	10	it	it	PRON
ajst-12694	88	11	indicates	indicate	VERB
ajst-12694	88	12	the	the	DET
ajst-12694	88	13	model	model	NOUN
ajst-12694	88	14	's	's	PART
ajst-12694	88	15	best	good	ADJ
ajst-12694	88	16	trade	trade	NOUN
ajst-12694	88	17	-	-	PUNCT
ajst-12694	88	18	off	off	NOUN
ajst-12694	88	19	between	between	ADP
ajst-12694	88	20	detecting	detect	VERB
ajst-12694	88	21	anomalies	anomaly	NOUN
ajst-12694	88	22	and	and	CCONJ
ajst-12694	88	23	avoiding	avoid	VERB
ajst-12694	88	24	false	false	ADJ
ajst-12694	88	25	alarms	alarm	NOUN
ajst-12694	88	26	.	.	PUNCT
ajst-12694	89	1	figure	figure	VERB
ajst-12694	89	2	3	3	NUM
ajst-12694	89	3	.	.	PUNCT
ajst-12694	89	4	balanced	balance	VERB
ajst-12694	89	5	roc	roc	NOUN
ajst-12694	89	6	-	-	PUNCT
ajst-12694	89	7	auc	auc	NOUN
ajst-12694	89	8	plot	plot	NOUN
ajst-12694	89	9	as	as	SCONJ
ajst-12694	89	10	shown	show	VERB
ajst-12694	89	11	in	in	ADP
ajst-12694	89	12	the	the	DET
ajst-12694	89	13	figure	figure	NOUN
ajst-12694	89	14	below	below	ADP
ajst-12694	89	15	(	(	PUNCT
ajst-12694	89	16	figure.3	figure.3	PROPN
ajst-12694	89	17	)	)	PUNCT
ajst-12694	89	18	,	,	PUNCT
ajst-12694	89	19	changes	change	NOUN
ajst-12694	89	20	in	in	ADP
ajst-12694	89	21	the	the	DET
ajst-12694	89	22	position	position	NOUN
ajst-12694	89	23	of	of	ADP
ajst-12694	89	24	points	point	NOUN
ajst-12694	89	25	on	on	ADP
ajst-12694	89	26	the	the	DET
ajst-12694	89	27	roc	roc	PROPN
ajst-12694	89	28	curve	curve	NOUN
ajst-12694	89	29	represent	represent	VERB
ajst-12694	89	30	the	the	DET
ajst-12694	89	31	model	model	NOUN
ajst-12694	89	32	's	's	PART
ajst-12694	89	33	balance	balance	NOUN
ajst-12694	89	34	between	between	ADP
ajst-12694	89	35	false	false	ADJ
ajst-12694	89	36	negatives	negative	NOUN
ajst-12694	89	37	and	and	CCONJ
ajst-12694	89	38	false	false	ADJ
ajst-12694	89	39	positives	positive	NOUN
ajst-12694	89	40	.	.	PUNCT
ajst-12694	90	1	anomaly	anomaly	NOUN
ajst-12694	90	2	segmentation	segmentation	NOUN
ajst-12694	90	3	metrics.for	metrics.for	PROPN
ajst-12694	90	4	anomaly	anomaly	NOUN
ajst-12694	90	5	detection	detection	NOUN
ajst-12694	90	6	tasks	task	NOUN
ajst-12694	90	7	,	,	PUNCT
ajst-12694	90	8	in	in	ADP
ajst-12694	90	9	addition	addition	NOUN
ajst-12694	90	10	to	to	ADP
ajst-12694	90	11	determining	determine	VERB
ajst-12694	90	12	whether	whether	SCONJ
ajst-12694	90	13	a	a	DET
ajst-12694	90	14	given	give	VERB
ajst-12694	90	15	image	image	NOUN
ajst-12694	90	16	contains	contain	VERB
ajst-12694	90	17	anomalies	anomaly	NOUN
ajst-12694	90	18	,	,	PUNCT
ajst-12694	90	19	another	another	DET
ajst-12694	90	20	crucial	crucial	ADJ
ajst-12694	90	21	task	task	NOUN
ajst-12694	90	22	is	be	AUX
ajst-12694	90	23	to	to	PART
ajst-12694	90	24	locate	locate	VERB
ajst-12694	90	25	and	and	CCONJ
ajst-12694	90	26	segment	segment	VERB
ajst-12694	90	27	the	the	DET
ajst-12694	90	28	anomalous	anomalous	ADJ
ajst-12694	90	29	regions	region	NOUN
ajst-12694	90	30	.	.	PUNCT
ajst-12694	91	1	since	since	SCONJ
ajst-12694	91	2	the	the	DET
ajst-12694	91	3	tpr	tpr	NOUN
ajst-12694	91	4	values	value	NOUN
ajst-12694	91	5	in	in	ADP
ajst-12694	91	6	the	the	DET
ajst-12694	91	7	13	13	NUM
ajst-12694	91	8	roc	roc	PROPN
ajst-12694	91	9	curve	curve	NOUN
ajst-12694	91	10	are	be	AUX
ajst-12694	91	11	weighted	weight	VERB
ajst-12694	91	12	by	by	ADP
ajst-12694	91	13	the	the	DET
ajst-12694	91	14	defect	defect	NOUN
ajst-12694	91	15	area	area	NOUN
ajst-12694	91	16	,	,	PUNCT
ajst-12694	91	17	a	a	DET
ajst-12694	91	18	larger	large	ADJ
ajst-12694	91	19	correctly	correctly	ADV
ajst-12694	91	20	segmented	segment	VERB
ajst-12694	91	21	region	region	NOUN
ajst-12694	91	22	can	can	AUX
ajst-12694	91	23	significantly	significantly	ADV
ajst-12694	91	24	compensate	compensate	VERB
ajst-12694	91	25	for	for	ADP
ajst-12694	91	26	the	the	DET
ajst-12694	91	27	quantitative	quantitative	ADJ
ajst-12694	91	28	metrics	metric	NOUN
ajst-12694	91	29	of	of	ADP
ajst-12694	91	30	multiple	multiple	ADJ
ajst-12694	91	31	small	small	ADJ
ajst-12694	91	32	defective	defective	ADJ
ajst-12694	91	33	areas	area	NOUN
ajst-12694	91	34	.	.	PUNCT
ajst-12694	92	1	therefore	therefore	ADV
ajst-12694	92	2	,	,	PUNCT
ajst-12694	92	3	this	this	DET
ajst-12694	92	4	metric	metric	NOUN
ajst-12694	92	5	has	have	VERB
ajst-12694	92	6	limitations	limitation	NOUN
ajst-12694	92	7	in	in	ADP
ajst-12694	92	8	industrial	industrial	ADJ
ajst-12694	92	9	defect	defect	NOUN
ajst-12694	92	10	detection	detection	NOUN
ajst-12694	92	11	.	.	PUNCT
ajst-12694	93	1	bergmann	bergmann	PROPN
ajst-12694	93	2	et	et	PROPN
ajst-12694	93	3	al	al	PROPN
ajst-12694	93	4	.	.	PUNCT
ajst-12694	94	1	[	[	X
ajst-12694	94	2	13	13	NUM
ajst-12694	94	3	]	]	PUNCT
ajst-12694	94	4	proposed	propose	VERB
ajst-12694	94	5	a	a	DET
ajst-12694	94	6	region	region	NOUN
ajst-12694	94	7	-	-	PUNCT
ajst-12694	94	8	level	level	NOUN
ajst-12694	94	9	metric	metric	NOUN
ajst-12694	94	10	called	call	VERB
ajst-12694	94	11	pro	pro	NOUN
ajst-12694	94	12	(	(	PUNCT
ajst-12694	94	13	per	per	ADP
ajst-12694	94	14	region	region	NOUN
ajst-12694	94	15	overlap	overlap	NOUN
ajst-12694	94	16	)	)	PUNCT
ajst-12694	94	17	.	.	PUNCT
ajst-12694	95	1	it	it	PRON
ajst-12694	95	2	divides	divide	VERB
ajst-12694	95	3	the	the	DET
ajst-12694	95	4	ground	ground	NOUN
ajst-12694	95	5	truth	truth	NOUN
ajst-12694	95	6	regions	region	NOUN
ajst-12694	95	7	and	and	CCONJ
ajst-12694	95	8	predicted	predict	VERB
ajst-12694	95	9	regions	region	NOUN
ajst-12694	95	10	into	into	ADP
ajst-12694	95	11	n	n	DET
ajst-12694	95	12	regions	region	NOUN
ajst-12694	95	13	based	base	VERB
ajst-12694	95	14	on	on	ADP
ajst-12694	95	15	connected	connected	ADJ
ajst-12694	95	16	components	component	NOUN
ajst-12694	95	17	.	.	PUNCT
ajst-12694	96	1	then	then	ADV
ajst-12694	96	2	,	,	PUNCT
ajst-12694	96	3	it	it	PRON
ajst-12694	96	4	calculates	calculate	VERB
ajst-12694	96	5	the	the	DET
ajst-12694	96	6	intersection	intersection	NOUN
ajst-12694	96	7	between	between	ADP
ajst-12694	96	8	each	each	DET
ajst-12694	96	9	actual	actual	ADJ
ajst-12694	96	10	defect	defect	NOUN
ajst-12694	96	11	region	region	NOUN
ajst-12694	96	12	gn	gn	PROPN
ajst-12694	96	13	and	and	CCONJ
ajst-12694	96	14	the	the	DET
ajst-12694	96	15	defect	defect	NOUN
ajst-12694	96	16	region	region	NOUN
ajst-12694	96	17	p	p	X
ajst-12694	96	18	,	,	PUNCT
ajst-12694	96	19	as	as	ADV
ajst-12694	96	20	well	well	ADV
ajst-12694	96	21	as	as	ADP
ajst-12694	96	22	the	the	DET
ajst-12694	96	23	ratio	ratio	NOUN
ajst-12694	96	24	of	of	ADP
ajst-12694	96	25	this	this	DET
ajst-12694	96	26	intersection	intersection	NOUN
ajst-12694	96	27	to	to	ADP
ajst-12694	96	28	the	the	DET
ajst-12694	96	29	gt	gt	PROPN
ajst-12694	96	30	region	region	NOUN
ajst-12694	96	31	gn	gn	PROPN
ajst-12694	96	32	.	.	PROPN
ajst-12694	97	1	finally	finally	ADV
ajst-12694	97	2	,	,	PUNCT
ajst-12694	97	3	the	the	DET
ajst-12694	97	4	pro	pro	ADJ
ajst-12694	97	5	metric	metric	NOUN
ajst-12694	97	6	is	be	AUX
ajst-12694	97	7	obtained	obtain	VERB
ajst-12694	97	8	by	by	ADP
ajst-12694	97	9	weighted	weight	VERB
ajst-12694	97	10	averaging	averaging	NOUN
ajst-12694	97	11	according	accord	VERB
ajst-12694	97	12	to	to	ADP
ajst-12694	97	13	n	n	CCONJ
ajst-12694	97	14	connected	connected	ADJ
ajst-12694	97	15	components	component	NOUN
ajst-12694	97	16	.	.	PUNCT
ajst-12694	98	1	model	model	NOUN
ajst-12694	98	2	performance	performance	NOUN
ajst-12694	98	3	metrics.in	metrics.in	X
ajst-12694	98	4	practical	practical	ADJ
ajst-12694	98	5	industrial	industrial	ADJ
ajst-12694	98	6	anomaly	anomaly	NOUN
ajst-12694	98	7	detection	detection	NOUN
ajst-12694	98	8	applications	application	NOUN
ajst-12694	98	9	,	,	PUNCT
ajst-12694	98	10	due	due	ADP
ajst-12694	98	11	to	to	ADP
ajst-12694	98	12	cost	cost	NOUN
ajst-12694	98	13	constraints	constraint	NOUN
ajst-12694	98	14	,	,	PUNCT
ajst-12694	98	15	highperformance	highperformance	NOUN
ajst-12694	98	16	computers	computer	NOUN
ajst-12694	98	17	are	be	AUX
ajst-12694	98	18	typically	typically	ADV
ajst-12694	98	19	not	not	PART
ajst-12694	98	20	available	available	ADJ
ajst-12694	98	21	for	for	ADP
ajst-12694	98	22	model	model	NOUN
ajst-12694	98	23	inference	inference	NOUN
ajst-12694	98	24	.	.	PUNCT
ajst-12694	99	1	moreover	moreover	ADV
ajst-12694	99	2	,	,	PUNCT
ajst-12694	99	3	while	while	SCONJ
ajst-12694	99	4	maintaining	maintain	VERB
ajst-12694	99	5	a	a	DET
ajst-12694	99	6	certain	certain	ADJ
ajst-12694	99	7	level	level	NOUN
ajst-12694	99	8	of	of	ADP
ajst-12694	99	9	detection	detection	NOUN
ajst-12694	99	10	performance	performance	NOUN
ajst-12694	99	11	,	,	PUNCT
ajst-12694	99	12	the	the	DET
ajst-12694	99	13	practicality	practicality	NOUN
ajst-12694	99	14	of	of	ADP
ajst-12694	99	15	a	a	DET
ajst-12694	99	16	model	model	NOUN
ajst-12694	99	17	improves	improve	VERB
ajst-12694	99	18	as	as	SCONJ
ajst-12694	99	19	its	its	PRON
ajst-12694	99	20	hardware	hardware	NOUN
ajst-12694	99	21	resource	resource	NOUN
ajst-12694	99	22	requirements	requirement	NOUN
ajst-12694	99	23	decrease	decrease	VERB
ajst-12694	99	24	.	.	PUNCT
ajst-12694	100	1	therefore	therefore	ADV
ajst-12694	100	2	,	,	PUNCT
ajst-12694	100	3	it	it	PRON
ajst-12694	100	4	is	be	AUX
ajst-12694	100	5	necessary	necessary	ADJ
ajst-12694	100	6	to	to	PART
ajst-12694	100	7	incorporate	incorporate	VERB
ajst-12694	100	8	model	model	NOUN
ajst-12694	100	9	performance	performance	NOUN
ajst-12694	100	10	metrics.for	metrics.for	NOUN
ajst-12694	100	11	image	image	NOUN
ajst-12694	100	12	processing	processing	NOUN
ajst-12694	100	13	models	model	NOUN
ajst-12694	100	14	,	,	PUNCT
ajst-12694	100	15	the	the	DET
ajst-12694	100	16	most	most	ADV
ajst-12694	100	17	straightforward	straightforward	ADJ
ajst-12694	100	18	performance	performance	NOUN
ajst-12694	100	19	metric	metric	NOUN
ajst-12694	100	20	is	be	AUX
ajst-12694	100	21	the	the	DET
ajst-12694	100	22	model	model	NOUN
ajst-12694	100	23	's	's	PART
ajst-12694	100	24	inference	inference	NOUN
ajst-12694	100	25	time	time	NOUN
ajst-12694	100	26	(	(	PUNCT
ajst-12694	100	27	it	it	PRON
ajst-12694	100	28	)	)	PUNCT
ajst-12694	100	29	.	.	PUNCT
ajst-12694	101	1	it	it	PRON
ajst-12694	101	2	represents	represent	VERB
ajst-12694	101	3	the	the	DET
ajst-12694	101	4	time	time	NOUN
ajst-12694	101	5	it	it	PRON
ajst-12694	101	6	takes	take	VERB
ajst-12694	101	7	for	for	SCONJ
ajst-12694	101	8	the	the	DET
ajst-12694	101	9	model	model	NOUN
ajst-12694	101	10	to	to	PART
ajst-12694	101	11	process	process	VERB
ajst-12694	101	12	an	an	DET
ajst-12694	101	13	input	input	NOUN
ajst-12694	101	14	sample	sample	NOUN
ajst-12694	101	15	and	and	CCONJ
ajst-12694	101	16	produce	produce	VERB
ajst-12694	101	17	an	an	DET
ajst-12694	101	18	output	output	NOUN
ajst-12694	101	19	prediction	prediction	NOUN
ajst-12694	101	20	,	,	PUNCT
ajst-12694	101	21	with	with	ADP
ajst-12694	101	22	smaller	small	ADJ
ajst-12694	101	23	it	it	PRON
ajst-12694	101	24	values	value	NOUN
ajst-12694	101	25	indicating	indicate	VERB
ajst-12694	101	26	faster	fast	ADJ
ajst-12694	101	27	inference	inference	NOUN
ajst-12694	101	28	speed	speed	NOUN
ajst-12694	101	29	and	and	CCONJ
ajst-12694	101	30	higher	high	ADJ
ajst-12694	101	31	real	real	ADJ
ajst-12694	101	32	-	-	PUNCT
ajst-12694	101	33	time	time	NOUN
ajst-12694	101	34	capability	capability	NOUN
ajst-12694	101	35	.	.	PUNCT
ajst-12694	102	1	given	give	VERB
ajst-12694	102	2	that	that	DET
ajst-12694	102	3	image	image	NOUN
ajst-12694	102	4	processing	processing	NOUN
ajst-12694	102	5	models	model	NOUN
ajst-12694	102	6	often	often	ADV
ajst-12694	102	7	have	have	VERB
ajst-12694	102	8	high	high	ADJ
ajst-12694	102	9	memory	memory	NOUN
ajst-12694	102	10	requirements	requirement	NOUN
ajst-12694	102	11	,	,	PUNCT
ajst-12694	102	12	another	another	DET
ajst-12694	102	13	important	important	ADJ
ajst-12694	102	14	metric	metric	NOUN
ajst-12694	102	15	is	be	AUX
ajst-12694	102	16	memory	memory	NOUN
ajst-12694	102	17	occupied	occupy	VERB
ajst-12694	102	18	(	(	PUNCT
ajst-12694	102	19	mo	mo	NOUN
ajst-12694	102	20	)	)	PUNCT
ajst-12694	102	21	,	,	PUNCT
ajst-12694	102	22	which	which	PRON
ajst-12694	102	23	denotes	denote	VERB
ajst-12694	102	24	the	the	DET
ajst-12694	102	25	amount	amount	NOUN
ajst-12694	102	26	of	of	ADP
ajst-12694	102	27	memory	memory	NOUN
ajst-12694	102	28	the	the	DET
ajst-12694	102	29	model	model	NOUN
ajst-12694	102	30	consumes	consume	VERB
ajst-12694	102	31	during	during	ADP
ajst-12694	102	32	inference	inference	NOUN
ajst-12694	102	33	,	,	PUNCT
ajst-12694	102	34	with	with	ADP
ajst-12694	102	35	smaller	small	ADJ
ajst-12694	102	36	mo	mo	NOUN
ajst-12694	102	37	values	value	NOUN
ajst-12694	102	38	indicating	indicate	VERB
ajst-12694	102	39	a	a	DET
ajst-12694	102	40	more	more	ADV
ajst-12694	102	41	lightweight	lightweight	ADJ
ajst-12694	102	42	model.[14	model.[14	PROPN
ajst-12694	102	43	]	]	PUNCT
ajst-12694	102	44	2.3	2.3	NUM
ajst-12694	102	45	.	.	PUNCT
ajst-12694	103	1	model	model	NOUN
ajst-12694	103	2	lightweighting	lightweighting	ADJ
ajst-12694	103	3	methods	method	NOUN
ajst-12694	103	4	2.3.1	2.3.1	NUM
ajst-12694	103	5	.	.	PUNCT
ajst-12694	103	6	model	model	NOUN
ajst-12694	103	7	lightweighting	lightweighte	VERB
ajst-12694	103	8	in	in	ADP
ajst-12694	103	9	the	the	DET
ajst-12694	103	10	transformer	transformer	NOUN
ajst-12694	103	11	model	model	NOUN
ajst-12694	103	12	,	,	PUNCT
ajst-12694	103	13	the	the	DET
ajst-12694	103	14	parts	part	NOUN
ajst-12694	103	15	that	that	PRON
ajst-12694	103	16	need	need	VERB
ajst-12694	103	17	to	to	PART
ajst-12694	103	18	be	be	AUX
ajst-12694	103	19	quantized	quantize	VERB
ajst-12694	103	20	include	include	VERB
ajst-12694	103	21	the	the	DET
ajst-12694	103	22	linear	linear	ADJ
ajst-12694	103	23	layer	layer	NOUN
ajst-12694	103	24	,	,	PUNCT
ajst-12694	103	25	self	self	NOUN
ajst-12694	103	26	-	-	PUNCT
ajst-12694	103	27	attention	attention	NOUN
ajst-12694	103	28	layer	layer	NOUN
ajst-12694	103	29	,	,	PUNCT
ajst-12694	103	30	layernorm	layernorm	NOUN
ajst-12694	103	31	layer	layer	NOUN
ajst-12694	103	32	,	,	PUNCT
ajst-12694	103	33	and	and	CCONJ
ajst-12694	103	34	softmax	softmax	ADJ
ajst-12694	103	35	layer	layer	NOUN
ajst-12694	103	36	.	.	PUNCT
ajst-12694	104	1	different	different	ADJ
ajst-12694	104	2	quantization	quantization	NOUN
ajst-12694	104	3	methods	method	NOUN
ajst-12694	104	4	are	be	AUX
ajst-12694	104	5	applied	apply	VERB
ajst-12694	104	6	to	to	ADP
ajst-12694	104	7	different	different	ADJ
ajst-12694	104	8	layers	layer	NOUN
ajst-12694	104	9	to	to	PART
ajst-12694	104	10	achieve	achieve	VERB
ajst-12694	104	11	full	full	ADJ
ajst-12694	104	12	quantization	quantization	NOUN
ajst-12694	104	13	of	of	ADP
ajst-12694	104	14	the	the	DET
ajst-12694	104	15	entire	entire	ADJ
ajst-12694	104	16	structure.in	structure.in	NOUN
ajst-12694	104	17	the	the	DET
ajst-12694	104	18	transformer	transformer	NOUN
ajst-12694	104	19	,	,	PUNCT
ajst-12694	104	20	its	its	PRON
ajst-12694	104	21	input	input	NOUN
ajst-12694	104	22	is	be	AUX
ajst-12694	104	23	a	a	DET
ajst-12694	104	24	one	one	NUM
ajst-12694	104	25	-	-	PUNCT
ajst-12694	104	26	dimensional	dimensional	ADJ
ajst-12694	104	27	token	token	ADJ
ajst-12694	104	28	embedding	embed	VERB
ajst-12694	104	29	sequence	sequence	NOUN
ajst-12694	104	30	.	.	PUNCT
ajst-12694	105	1	therefore	therefore	ADV
ajst-12694	105	2	,	,	PUNCT
ajst-12694	105	3	it	it	PRON
ajst-12694	105	4	needs	need	VERB
ajst-12694	105	5	to	to	PART
ajst-12694	105	6	reshape	reshape	VERB
ajst-12694	105	7	the	the	DET
ajst-12694	105	8	image	image	NOUN
ajst-12694	105	9	into	into	ADP
ajst-12694	105	10	a	a	DET
ajst-12694	105	11	twodimensional	twodimensional	ADJ
ajst-12694	105	12	sequence	sequence	NOUN
ajst-12694	105	13	,	,	PUNCT
ajst-12694	105	14	where	where	SCONJ
ajst-12694	105	15	h	h	NOUN
ajst-12694	105	16	is	be	AUX
ajst-12694	105	17	the	the	DET
ajst-12694	105	18	height	height	NOUN
ajst-12694	105	19	of	of	ADP
ajst-12694	105	20	the	the	DET
ajst-12694	105	21	image	image	NOUN
ajst-12694	105	22	,	,	PUNCT
ajst-12694	105	23	w	w	PROPN
ajst-12694	105	24	is	be	AUX
ajst-12694	105	25	the	the	DET
ajst-12694	105	26	width	width	NOUN
ajst-12694	105	27	of	of	ADP
ajst-12694	105	28	the	the	DET
ajst-12694	105	29	image	image	NOUN
ajst-12694	105	30	,	,	PUNCT
ajst-12694	105	31	c	c	PROPN
ajst-12694	105	32	is	be	AUX
ajst-12694	105	33	the	the	DET
ajst-12694	105	34	number	number	NOUN
ajst-12694	105	35	of	of	ADP
ajst-12694	105	36	channels	channel	NOUN
ajst-12694	105	37	in	in	ADP
ajst-12694	105	38	the	the	DET
ajst-12694	105	39	image	image	NOUN
ajst-12694	105	40	,	,	PUNCT
ajst-12694	105	41	and	and	CCONJ
ajst-12694	105	42	p	p	NOUN
ajst-12694	105	43	represents	represent	VERB
ajst-12694	105	44	the	the	DET
ajst-12694	105	45	resolution	resolution	NOUN
ajst-12694	105	46	of	of	ADP
ajst-12694	105	47	the	the	DET
ajst-12694	105	48	image	image	NOUN
ajst-12694	105	49	,	,	PUNCT
ajst-12694	105	50	which	which	PRON
ajst-12694	105	51	is	be	AUX
ajst-12694	105	52	the	the	DET
ajst-12694	105	53	effective	effective	ADJ
ajst-12694	105	54	sequence	sequence	NOUN
ajst-12694	105	55	length	length	NOUN
ajst-12694	105	56	of	of	ADP
ajst-12694	105	57	the	the	DET
ajst-12694	105	58	transformer	transformer	NOUN
ajst-12694	105	59	.	.	PUNCT
ajst-12694	106	1	since	since	SCONJ
ajst-12694	106	2	the	the	DET
ajst-12694	106	3	transformer	transformer	NOUN
ajst-12694	106	4	uses	use	VERB
ajst-12694	106	5	a	a	DET
ajst-12694	106	6	constant	constant	ADJ
ajst-12694	106	7	width	width	NOUN
ajst-12694	106	8	across	across	ADP
ajst-12694	106	9	all	all	DET
ajst-12694	106	10	layers	layer	NOUN
ajst-12694	106	11	,	,	PUNCT
ajst-12694	106	12	a	a	DET
ajst-12694	106	13	trainable	trainable	ADJ
ajst-12694	106	14	linear	linear	NOUN
ajst-12694	106	15	projection	projection	NOUN
ajst-12694	106	16	maps	map	NOUN
ajst-12694	106	17	each	each	DET
ajst-12694	106	18	vectorized	vectorize	VERB
ajst-12694	106	19	block	block	NOUN
ajst-12694	106	20	to	to	ADP
ajst-12694	106	21	the	the	DET
ajst-12694	106	22	model	model	NOUN
ajst-12694	106	23	dimension	dimension	NOUN
ajst-12694	106	24	d.[15	d.[15	PROPN
ajst-12694	106	25	]	]	PUNCT
ajst-12694	106	26	for	for	ADP
ajst-12694	106	27	the	the	DET
ajst-12694	106	28	mlp	mlp	NOUN
ajst-12694	106	29	layer	layer	NOUN
ajst-12694	106	30	and	and	CCONJ
ajst-12694	106	31	msa	msa	PROPN
ajst-12694	106	32	(	(	PUNCT
ajst-12694	106	33	multi	multi	ADJ
ajst-12694	106	34	-	-	ADJ
ajst-12694	106	35	head	head	ADJ
ajst-12694	106	36	self	self	NOUN
ajst-12694	106	37	-	-	PUNCT
ajst-12694	106	38	attention	attention	NOUN
ajst-12694	106	39	)	)	PUNCT
ajst-12694	106	40	layer	layer	NOUN
ajst-12694	106	41	,	,	PUNCT
ajst-12694	106	42	their	their	PRON
ajst-12694	106	43	computational	computational	ADJ
ajst-12694	106	44	cost	cost	NOUN
ajst-12694	106	45	comes	come	VERB
ajst-12694	106	46	from	from	ADP
ajst-12694	106	47	the	the	DET
ajst-12694	106	48	large	large	ADJ
ajst-12694	106	49	matrix	matrix	NOUN
ajst-12694	106	50	multiplications	multiplication	NOUN
ajst-12694	106	51	,	,	PUNCT
ajst-12694	106	52	so	so	SCONJ
ajst-12694	106	53	the	the	DET
ajst-12694	106	54	goal	goal	NOUN
ajst-12694	106	55	of	of	ADP
ajst-12694	106	56	quantization	quantization	NOUN
ajst-12694	106	57	here	here	ADV
ajst-12694	106	58	is	be	AUX
ajst-12694	106	59	to	to	PART
ajst-12694	106	60	convert	convert	VERB
ajst-12694	106	61	float	float	ADJ
ajst-12694	106	62	matrices	matrix	NOUN
ajst-12694	106	63	into	into	ADP
ajst-12694	106	64	integer	integer	NOUN
ajst-12694	106	65	ones.layernorm	ones.layernorm	NUM
ajst-12694	106	66	has	have	VERB
ajst-12694	106	67	dynamic	dynamic	ADJ
ajst-12694	106	68	computation	computation	NOUN
ajst-12694	106	69	characteristics	characteristic	NOUN
ajst-12694	106	70	,	,	PUNCT
ajst-12694	106	71	which	which	PRON
ajst-12694	106	72	means	mean	VERB
ajst-12694	106	73	it	it	PRON
ajst-12694	106	74	can	can	AUX
ajst-12694	106	75	not	not	PART
ajst-12694	106	76	be	be	AUX
ajst-12694	106	77	folded	fold	VERB
ajst-12694	106	78	into	into	ADP
ajst-12694	106	79	the	the	DET
ajst-12694	106	80	previous	previous	ADJ
ajst-12694	106	81	layer	layer	NOUN
ajst-12694	106	82	,	,	PUNCT
ajst-12694	106	83	so	so	SCONJ
ajst-12694	106	84	it	it	PRON
ajst-12694	106	85	needs	need	VERB
ajst-12694	106	86	to	to	PART
ajst-12694	106	87	be	be	AUX
ajst-12694	106	88	quantized	quantize	VERB
ajst-12694	106	89	separately	separately	ADV
ajst-12694	106	90	.	.	PUNCT
ajst-12694	107	1	due	due	ADP
ajst-12694	107	2	to	to	ADP
ajst-12694	107	3	the	the	DET
ajst-12694	107	4	significant	significant	ADJ
ajst-12694	107	5	inter	inter	ADJ
ajst-12694	107	6	-	-	ADJ
ajst-12694	107	7	channel	channel	ADJ
ajst-12694	107	8	variations	variation	NOUN
ajst-12694	107	9	in	in	ADP
ajst-12694	107	10	layernorm	layernorm	NOUN
ajst-12694	107	11	,	,	PUNCT
ajst-12694	107	12	different	different	ADJ
ajst-12694	107	13	quantization	quantization	NOUN
ajst-12694	107	14	factors	factor	NOUN
ajst-12694	107	15	need	need	VERB
ajst-12694	107	16	to	to	PART
ajst-12694	107	17	be	be	AUX
ajst-12694	107	18	applied	apply	VERB
ajst-12694	107	19	to	to	ADP
ajst-12694	107	20	different	different	ADJ
ajst-12694	107	21	channels.[16	channels.[16	PROPN
ajst-12694	107	22	]	]	PUNCT
ajst-12694	107	23	as	as	SCONJ
ajst-12694	107	24	model	model	NOUN
ajst-12694	107	25	performance	performance	NOUN
ajst-12694	107	26	depends	depend	VERB
ajst-12694	107	27	on	on	ADP
ajst-12694	107	28	smaller	small	ADJ
ajst-12694	107	29	image	image	NOUN
ajst-12694	107	30	block	block	NOUN
ajst-12694	107	31	sizes	size	NOUN
ajst-12694	107	32	and	and	CCONJ
ajst-12694	107	33	higher	high	ADJ
ajst-12694	107	34	resolutions	resolution	NOUN
ajst-12694	107	35	,	,	PUNCT
ajst-12694	107	36	when	when	SCONJ
ajst-12694	107	37	the	the	DET
ajst-12694	107	38	resolution	resolution	NOUN
ajst-12694	107	39	increases	increase	VERB
ajst-12694	107	40	and	and	CCONJ
ajst-12694	107	41	the	the	DET
ajst-12694	107	42	image	image	NOUN
ajst-12694	107	43	block	block	NOUN
ajst-12694	107	44	size	size	NOUN
ajst-12694	107	45	decreases	decrease	VERB
ajst-12694	107	46	,	,	PUNCT
ajst-12694	107	47	the	the	DET
ajst-12694	107	48	storage	storage	NOUN
ajst-12694	107	49	and	and	CCONJ
ajst-12694	107	50	computation	computation	NOUN
ajst-12694	107	51	of	of	ADP
ajst-12694	107	52	attention	attention	NOUN
ajst-12694	107	53	maps	map	NOUN
ajst-12694	107	54	become	become	VERB
ajst-12694	107	55	a	a	DET
ajst-12694	107	56	bottleneck	bottleneck	NOUN
ajst-12694	107	57	limiting	limit	VERB
ajst-12694	107	58	the	the	DET
ajst-12694	107	59	model	model	NOUN
ajst-12694	107	60	's	's	PART
ajst-12694	107	61	performance	performance	NOUN
ajst-12694	107	62	,	,	PUNCT
ajst-12694	107	63	directly	directly	ADV
ajst-12694	107	64	affecting	affect	VERB
ajst-12694	107	65	the	the	DET
ajst-12694	107	66	throughput	throughput	NOUN
ajst-12694	107	67	and	and	CCONJ
ajst-12694	107	68	latency	latency	NOUN
ajst-12694	107	69	of	of	ADP
ajst-12694	107	70	inference	inference	PROPN
ajst-12694	107	71	.	.	PUNCT
ajst-12694	108	1	therefore	therefore	ADV
ajst-12694	108	2	,	,	PUNCT
ajst-12694	108	3	it	it	PRON
ajst-12694	108	4	's	be	AUX
ajst-12694	108	5	necessary	necessary	ADJ
ajst-12694	108	6	to	to	PART
ajst-12694	108	7	create	create	VERB
ajst-12694	108	8	smaller	small	ADJ
ajst-12694	108	9	attention	attention	NOUN
ajst-12694	108	10	maps	map	NOUN
ajst-12694	108	11	to	to	PART
ajst-12694	108	12	improve	improve	VERB
ajst-12694	108	13	the	the	DET
ajst-12694	108	14	model	model	NOUN
ajst-12694	108	15	's	's	PART
ajst-12694	108	16	inference	inference	NOUN
ajst-12694	108	17	performance.[17	performance.[17	PROPN
ajst-12694	108	18	]	]	PUNCT
ajst-12694	108	19	to	to	PART
ajst-12694	108	20	compress	compress	VERB
ajst-12694	108	21	attention	attention	NOUN
ajst-12694	108	22	maps	map	NOUN
ajst-12694	108	23	into	into	ADP
ajst-12694	108	24	a	a	DET
ajst-12694	108	25	smaller	small	ADJ
ajst-12694	108	26	range	range	NOUN
ajst-12694	108	27	for	for	ADP
ajst-12694	108	28	faster	fast	ADJ
ajst-12694	108	29	inference	inference	NOUN
ajst-12694	108	30	,	,	PUNCT
ajst-12694	108	31	attention	attention	NOUN
ajst-12694	108	32	maps	map	NOUN
ajst-12694	108	33	need	need	VERB
ajst-12694	108	34	to	to	PART
ajst-12694	108	35	be	be	AUX
ajst-12694	108	36	quantized	quantize	VERB
ajst-12694	108	37	to	to	ADP
ajst-12694	108	38	lower	low	ADJ
ajst-12694	108	39	bitwidths	bitwidth	NOUN
ajst-12694	108	40	.	.	PUNCT
ajst-12694	109	1	since	since	SCONJ
ajst-12694	109	2	the	the	DET
ajst-12694	109	3	output	output	NOUN
ajst-12694	109	4	range	range	NOUN
ajst-12694	109	5	of	of	ADP
ajst-12694	109	6	softmax	softmax	NOUN
ajst-12694	109	7	is	be	AUX
ajst-12694	109	8	fixed	fix	VERB
ajst-12694	109	9	in	in	ADP
ajst-12694	109	10	the	the	DET
ajst-12694	109	11	(	(	PUNCT
ajst-12694	109	12	0	0	NUM
ajst-12694	109	13	,	,	PUNCT
ajst-12694	109	14	1	1	NUM
ajst-12694	109	15	)	)	PUNCT
ajst-12694	109	16	interval	interval	NOUN
ajst-12694	109	17	,	,	PUNCT
ajst-12694	109	18	quantizing	quantize	VERB
ajst-12694	109	19	softmax	softmax	NOUN
ajst-12694	109	20	using	use	VERB
ajst-12694	109	21	the	the	DET
ajst-12694	109	22	log2	log2	PROPN
ajst-12694	109	23	function	function	NOUN
ajst-12694	109	24	does	do	AUX
ajst-12694	109	25	not	not	PART
ajst-12694	109	26	require	require	VERB
ajst-12694	109	27	calibration	calibration	NOUN
ajst-12694	109	28	,	,	PUNCT
ajst-12694	109	29	and	and	CCONJ
ajst-12694	109	30	log2	log2	PROPN
ajst-12694	109	31	quantization	quantization	NOUN
ajst-12694	109	32	can	can	AUX
ajst-12694	109	33	preserve	preserve	VERB
ajst-12694	109	34	the	the	DET
ajst-12694	109	35	order	order	NOUN
ajst-12694	109	36	consistency	consistency	NOUN
ajst-12694	109	37	between	between	ADP
ajst-12694	109	38	full	full	ADJ
ajst-12694	109	39	precision	precision	NOUN
ajst-12694	109	40	and	and	CCONJ
ajst-12694	109	41	quantized	quantize	VERB
ajst-12694	109	42	attention	attention	NOUN
ajst-12694	109	43	maps.[18	maps.[18	PROPN
ajst-12694	109	44	]	]	PUNCT
ajst-12694	110	1	2.3.2	2.3.2	NUM
ajst-12694	110	2	.	.	PUNCT
ajst-12694	110	3	pruning	prune	VERB
ajst-12694	110	4	-	-	PUNCT
ajst-12694	110	5	based	base	VERB
ajst-12694	110	6	model	model	NOUN
ajst-12694	110	7	lightweighting	lightweighting	NOUN
ajst-12694	110	8	method	method	NOUN
ajst-12694	110	9	pruning	prune	VERB
ajst-12694	110	10	is	be	AUX
ajst-12694	110	11	an	an	DET
ajst-12694	110	12	effective	effective	ADJ
ajst-12694	110	13	method	method	NOUN
ajst-12694	110	14	to	to	PART
ajst-12694	110	15	reduce	reduce	VERB
ajst-12694	110	16	the	the	DET
ajst-12694	110	17	enormous	enormous	ADJ
ajst-12694	110	18	inference	inference	NOUN
ajst-12694	110	19	cost	cost	NOUN
ajst-12694	110	20	of	of	ADP
ajst-12694	110	21	transformer	transformer	NOUN
ajst-12694	110	22	models	model	NOUN
ajst-12694	110	23	.	.	PUNCT
ajst-12694	111	1	however	however	ADV
ajst-12694	111	2	,	,	PUNCT
ajst-12694	111	3	most	most	ADJ
ajst-12694	111	4	works	work	VERB
ajst-12694	111	5	on	on	ADP
ajst-12694	111	6	transformer	transformer	NOUN
ajst-12694	111	7	pruning	prune	VERB
ajst-12694	111	8	require	require	NOUN
ajst-12694	111	9	retraining	retrain	VERB
ajst-12694	111	10	the	the	DET
ajst-12694	111	11	model	model	NOUN
ajst-12694	111	12	,	,	PUNCT
ajst-12694	111	13	which	which	PRON
ajst-12694	111	14	can	can	AUX
ajst-12694	111	15	increase	increase	VERB
ajst-12694	111	16	training	training	NOUN
ajst-12694	111	17	costs	cost	NOUN
ajst-12694	111	18	and	and	CCONJ
ajst-12694	111	19	complexity	complexity	NOUN
ajst-12694	111	20	.	.	PUNCT
ajst-12694	112	1	therefore	therefore	ADV
ajst-12694	112	2	,	,	PUNCT
ajst-12694	112	3	this	this	DET
ajst-12694	112	4	paper	paper	NOUN
ajst-12694	112	5	is	be	AUX
ajst-12694	112	6	based	base	VERB
ajst-12694	112	7	on	on	ADP
ajst-12694	112	8	a	a	DET
ajst-12694	112	9	fast	fast	ADJ
ajst-12694	112	10	post	post	ADJ
ajst-12694	112	11	-	-	ADJ
ajst-12694	112	12	training	training	ADJ
ajst-12694	112	13	pruning	prune	VERB
ajst-12694	112	14	framework	framework	NOUN
ajst-12694	112	15	proposed	propose	VERB
ajst-12694	112	16	by	by	ADP
ajst-12694	112	17	kwon	kwon	PROPN
ajst-12694	112	18	et	et	PROPN
ajst-12694	112	19	al	al	PROPN
ajst-12694	112	20	.	.	PUNCT
ajst-12694	113	1	[	[	X
ajst-12694	113	2	19	19	NUM
ajst-12694	113	3	]	]	PUNCT
ajst-12694	113	4	,	,	PUNCT
ajst-12694	113	5	which	which	PRON
ajst-12694	113	6	uses	use	VERB
ajst-12694	113	7	a	a	DET
ajst-12694	113	8	design	design	NOUN
ajst-12694	113	9	space	space	NOUN
ajst-12694	113	10	exploration	exploration	NOUN
ajst-12694	113	11	auto	auto	NOUN
ajst-12694	113	12	-	-	PUNCT
ajst-12694	113	13	searcher	searcher	NOUN
ajst-12694	113	14	for	for	ADP
ajst-12694	113	15	mask	mask	NOUN
ajst-12694	113	16	fine	fine	ADV
ajst-12694	113	17	-	-	PUNCT
ajst-12694	113	18	tuning	tuning	NOUN
ajst-12694	113	19	to	to	PART
ajst-12694	113	20	achieve	achieve	VERB
ajst-12694	113	21	automatic	automatic	ADJ
ajst-12694	113	22	mask	mask	NOUN
ajst-12694	113	23	finding	finding	NOUN
ajst-12694	113	24	.	.	PUNCT
ajst-12694	114	1	this	this	DET
ajst-12694	114	2	pruning	pruning	NOUN
ajst-12694	114	3	method	method	NOUN
ajst-12694	114	4	does	do	AUX
ajst-12694	114	5	not	not	PART
ajst-12694	114	6	require	require	VERB
ajst-12694	114	7	any	any	DET
ajst-12694	114	8	further	further	ADJ
ajst-12694	114	9	training	training	NOUN
ajst-12694	114	10	.	.	PUNCT
ajst-12694	115	1	given	give	VERB
ajst-12694	115	2	resource	resource	NOUN
ajst-12694	115	3	constraints	constraint	NOUN
ajst-12694	115	4	and	and	CCONJ
ajst-12694	115	5	a	a	DET
ajst-12694	115	6	sample	sample	NOUN
ajst-12694	115	7	dataset	dataset	NOUN
ajst-12694	115	8	,	,	PUNCT
ajst-12694	115	9	this	this	DET
ajst-12694	115	10	method	method	NOUN
ajst-12694	115	11	automatically	automatically	ADV
ajst-12694	115	12	prunes	prune	VERB
ajst-12694	115	13	the	the	DET
ajst-12694	115	14	transformer	transformer	NOUN
ajst-12694	115	15	model	model	NOUN
ajst-12694	115	16	using	use	VERB
ajst-12694	115	17	structured	structured	ADJ
ajst-12694	115	18	sparsity	sparsity	NOUN
ajst-12694	115	19	techniques	technique	NOUN
ajst-12694	115	20	.	.	PUNCT
ajst-12694	116	1	the	the	DET
ajst-12694	116	2	method	method	NOUN
ajst-12694	116	3	mainly	mainly	ADV
ajst-12694	116	4	consists	consist	VERB
ajst-12694	116	5	of	of	ADP
ajst-12694	116	6	three	three	NUM
ajst-12694	116	7	steps	step	NOUN
ajst-12694	116	8	:	:	PUNCT
ajst-12694	116	9	(	(	PUNCT
ajst-12694	116	10	1	1	X
ajst-12694	116	11	)	)	PUNCT
ajst-12694	116	12	lightweight	lightweight	ADJ
ajst-12694	116	13	mask	mask	NOUN
ajst-12694	116	14	search	search	NOUN
ajst-12694	116	15	algorithm	algorithm	NOUN
ajst-12694	116	16	based	base	VERB
ajst-12694	116	17	on	on	ADP
ajst-12694	116	18	fisher	fisher	PROPN
ajst-12694	116	19	information	information	NOUN
ajst-12694	116	20	to	to	PART
ajst-12694	116	21	find	find	VERB
ajst-12694	116	22	heads	head	NOUN
ajst-12694	116	23	and	and	CCONJ
ajst-12694	116	24	filters	filter	NOUN
ajst-12694	116	25	to	to	PART
ajst-12694	116	26	be	be	AUX
ajst-12694	116	27	pruned	prune	VERB
ajst-12694	116	28	.	.	PUNCT
ajst-12694	117	1	(	(	PUNCT
ajst-12694	117	2	2	2	X
ajst-12694	117	3	)	)	PUNCT
ajst-12694	117	4	mask	mask	NOUN
ajst-12694	117	5	reshuffling	reshuffling	NOUN
ajst-12694	117	6	as	as	ADP
ajst-12694	117	7	a	a	DET
ajst-12694	117	8	complement	complement	NOUN
ajst-12694	117	9	to	to	ADP
ajst-12694	117	10	the	the	DET
ajst-12694	117	11	search	search	NOUN
ajst-12694	117	12	algorithm	algorithm	NOUN
ajst-12694	117	13	.	.	PUNCT
ajst-12694	118	1	(	(	PUNCT
ajst-12694	118	2	3	3	X
ajst-12694	118	3	)	)	PUNCT
ajst-12694	118	4	mask	mask	NOUN
ajst-12694	118	5	fine	fine	ADV
ajst-12694	118	6	-	-	PUNCT
ajst-12694	118	7	tuning	tuning	NOUN
ajst-12694	118	8	through	through	ADP
ajst-12694	118	9	a	a	DET
ajst-12694	118	10	design	design	NOUN
ajst-12694	118	11	space	space	NOUN
ajst-12694	118	12	exploration	exploration	NOUN
ajst-12694	118	13	auto	auto	NOUN
ajst-12694	118	14	-	-	PUNCT
ajst-12694	118	15	searcher	searcher	NOUN
ajst-12694	118	16	.	.	PUNCT
ajst-12694	119	1	during	during	ADP
ajst-12694	119	2	the	the	DET
ajst-12694	119	3	process	process	NOUN
ajst-12694	119	4	of	of	ADP
ajst-12694	119	5	fisher	fisher	PROPN
ajst-12694	119	6	-	-	PUNCT
ajst-12694	119	7	based	base	VERB
ajst-12694	119	8	mask	mask	NOUN
ajst-12694	119	9	search	search	NOUN
ajst-12694	119	10	and	and	CCONJ
ajst-12694	119	11	mask	mask	NOUN
ajst-12694	119	12	reshuffling	reshuffling	NOUN
ajst-12694	119	13	,	,	PUNCT
ajst-12694	119	14	the	the	DET
ajst-12694	119	15	range	range	NOUN
ajst-12694	119	16	of	of	ADP
ajst-12694	119	17	mask	mask	NOUN
ajst-12694	119	18	values	value	NOUN
ajst-12694	119	19	is	be	AUX
ajst-12694	119	20	initially	initially	ADV
ajst-12694	119	21	restricted	restrict	VERB
ajst-12694	119	22	to	to	ADP
ajst-12694	119	23	the	the	DET
ajst-12694	119	24	(	(	PUNCT
ajst-12694	119	25	0	0	NUM
ajst-12694	119	26	,	,	PUNCT
ajst-12694	119	27	1	1	NUM
ajst-12694	119	28	)	)	PUNCT
ajst-12694	119	29	interval	interval	NOUN
ajst-12694	119	30	to	to	PART
ajst-12694	119	31	simplify	simplify	VERB
ajst-12694	119	32	computations	computation	NOUN
ajst-12694	119	33	.	.	PUNCT
ajst-12694	120	1	obviously	obviously	ADV
ajst-12694	120	2	,	,	PUNCT
ajst-12694	120	3	this	this	DET
ajst-12694	120	4	simplification	simplification	NOUN
ajst-12694	120	5	significantly	significantly	ADV
ajst-12694	120	6	reduces	reduce	VERB
ajst-12694	120	7	the	the	DET
ajst-12694	120	8	pruning	prune	VERB
ajst-12694	120	9	accuracy	accuracy	NOUN
ajst-12694	120	10	while	while	SCONJ
ajst-12694	120	11	simplifying	simplify	VERB
ajst-12694	120	12	inference	inference	NOUN
ajst-12694	120	13	calculations	calculation	NOUN
ajst-12694	120	14	.	.	PUNCT
ajst-12694	121	1	therefore	therefore	ADV
ajst-12694	121	2	,	,	PUNCT
ajst-12694	121	3	in	in	ADP
ajst-12694	121	4	this	this	DET
ajst-12694	121	5	section	section	NOUN
ajst-12694	121	6	,	,	PUNCT
ajst-12694	121	7	this	this	DET
ajst-12694	121	8	limitation	limitation	NOUN
ajst-12694	121	9	is	be	AUX
ajst-12694	121	10	removed	remove	VERB
ajst-12694	121	11	,	,	PUNCT
ajst-12694	121	12	and	and	CCONJ
ajst-12694	121	13	the	the	DET
ajst-12694	121	14	mask	mask	NOUN
ajst-12694	121	15	value	value	NOUN
ajst-12694	121	16	range	range	NOUN
ajst-12694	121	17	is	be	AUX
ajst-12694	121	18	expanded	expand	VERB
ajst-12694	121	19	to	to	ADP
ajst-12694	121	20	the	the	DET
ajst-12694	121	21	entire	entire	ADJ
ajst-12694	121	22	real	real	ADJ
ajst-12694	121	23	number	number	NOUN
ajst-12694	121	24	domain	domain	NOUN
ajst-12694	121	25	to	to	ADP
ajst-12694	121	26	fine	fine	ADJ
ajst-12694	121	27	-	-	PUNCT
ajst-12694	121	28	tune	tune	NOUN
ajst-12694	121	29	the	the	DET
ajst-12694	121	30	mask	mask	NOUN
ajst-12694	121	31	for	for	ADP
ajst-12694	121	32	improved	improved	ADJ
ajst-12694	121	33	pruning	pruning	NOUN
ajst-12694	121	34	accuracy	accuracy	NOUN
ajst-12694	121	35	.	.	PUNCT
ajst-12694	122	1	existing	exist	VERB
ajst-12694	122	2	research	research	NOUN
ajst-12694	122	3	,	,	PUNCT
ajst-12694	122	4	such	such	ADJ
ajst-12694	122	5	as	as	ADP
ajst-12694	122	6	that	that	PRON
ajst-12694	122	7	by	by	ADP
ajst-12694	122	8	he	he	PRON
ajst-12694	122	9	et	et	PROPN
ajst-12694	122	10	al	al	PROPN
ajst-12694	122	11	.	.	PUNCT
ajst-12694	123	1	[	[	X
ajst-12694	123	2	20	20	NUM
ajst-12694	123	3	]	]	PUNCT
ajst-12694	123	4	,	,	PUNCT
ajst-12694	123	5	suggests	suggest	VERB
ajst-12694	123	6	minimizing	minimize	VERB
ajst-12694	123	7	the	the	DET
ajst-12694	123	8	mask	mask	NOUN
ajst-12694	123	9	error	error	NOUN
ajst-12694	123	10	layer	layer	NOUN
ajst-12694	123	11	by	by	ADP
ajst-12694	123	12	layer	layer	NOUN
ajst-12694	123	13	through	through	ADP
ajst-12694	123	14	linear	linear	ADJ
ajst-12694	123	15	least	least	ADJ
ajst-12694	123	16	squares	square	NOUN
ajst-12694	123	17	.	.	PUNCT
ajst-12694	124	1	for	for	ADP
ajst-12694	124	2	each	each	DET
ajst-12694	124	3	layer	layer	NOUN
ajst-12694	124	4	,	,	PUNCT
ajst-12694	124	5	this	this	DET
ajst-12694	124	6	method	method	NOUN
ajst-12694	124	7	reconstructs	reconstruct	VERB
ajst-12694	124	8	the	the	DET
ajst-12694	124	9	output	output	NOUN
ajst-12694	124	10	loss	loss	NOUN
ajst-12694	124	11	of	of	ADP
ajst-12694	124	12	the	the	DET
ajst-12694	124	13	original	original	ADJ
ajst-12694	124	14	model	model	NOUN
ajst-12694	124	15	using	use	VERB
ajst-12694	124	16	the	the	DET
ajst-12694	124	17	remaining	remain	VERB
ajst-12694	124	18	heads	head	NOUN
ajst-12694	124	19	and	and	CCONJ
ajst-12694	124	20	filters	filter	NOUN
ajst-12694	124	21	in	in	ADP
ajst-12694	124	22	the	the	DET
ajst-12694	124	23	pruned	prune	VERB
ajst-12694	124	24	model	model	NOUN
ajst-12694	124	25	.	.	PUNCT
ajst-12694	125	1	this	this	DET
ajst-12694	125	2	method	method	NOUN
ajst-12694	125	3	can	can	AUX
ajst-12694	125	4	reduce	reduce	VERB
ajst-12694	125	5	cumulative	cumulative	ADJ
ajst-12694	125	6	errors	error	NOUN
ajst-12694	125	7	,	,	PUNCT
ajst-12694	125	8	but	but	CCONJ
ajst-12694	125	9	when	when	SCONJ
ajst-12694	125	10	the	the	DET
ajst-12694	125	11	matrix	matrix	NOUN
ajst-12694	125	12	size	size	NOUN
ajst-12694	125	13	is	be	AUX
ajst-12694	125	14	large	large	ADJ
ajst-12694	125	15	,	,	PUNCT
ajst-12694	125	16	numerical	numerical	ADJ
ajst-12694	125	17	instability	instability	NOUN
ajst-12694	125	18	can	can	AUX
ajst-12694	125	19	occur	occur	VERB
ajst-12694	125	20	when	when	SCONJ
ajst-12694	125	21	solving	solve	VERB
ajst-12694	125	22	the	the	DET
ajst-12694	125	23	linear	linear	ADJ
ajst-12694	125	24	least	least	ADJ
ajst-12694	125	25	squares	square	NOUN
ajst-12694	125	26	problem	problem	NOUN
ajst-12694	125	27	.	.	PUNCT
ajst-12694	126	1	lin	lin	PROPN
ajst-12694	126	2	shuyuan	shuyuan	PROPN
ajst-12694	126	3	et	et	PROPN
ajst-12694	126	4	al	al	PROPN
ajst-12694	126	5	.	.	PUNCT
ajst-12694	127	1	[	[	X
ajst-12694	127	2	21	21	NUM
ajst-12694	127	3	]	]	X
ajst-12694	127	4	propose	propose	VERB
ajst-12694	127	5	using	use	VERB
ajst-12694	127	6	a	a	DET
ajst-12694	127	7	nonnegative	nonnegative	ADJ
ajst-12694	127	8	matrix	matrix	NOUN
ajst-12694	127	9	under	under	ADP
ajst-12694	127	10	-	-	PUNCT
ajst-12694	127	11	approximation	approximation	NOUN
ajst-12694	127	12	method	method	NOUN
ajst-12694	127	13	to	to	PART
ajst-12694	127	14	estimate	estimate	VERB
ajst-12694	127	15	model	model	NOUN
ajst-12694	127	16	parameters	parameter	NOUN
ajst-12694	127	17	.	.	PUNCT
ajst-12694	128	1	this	this	DET
ajst-12694	128	2	approach	approach	NOUN
ajst-12694	128	3	optimizes	optimize	VERB
ajst-12694	128	4	the	the	DET
ajst-12694	128	5	preference	preference	NOUN
ajst-12694	128	6	matrix	matrix	NOUN
ajst-12694	128	7	through	through	ADP
ajst-12694	128	8	spatial	spatial	ADJ
ajst-12694	128	9	constraints	constraint	NOUN
ajst-12694	128	10	and	and	CCONJ
ajst-12694	128	11	sparse	sparse	ADJ
ajst-12694	128	12	constraints	constraint	NOUN
ajst-12694	128	13	.	.	PUNCT
ajst-12694	129	1	however	however	ADV
ajst-12694	129	2	,	,	PUNCT
ajst-12694	129	3	when	when	SCONJ
ajst-12694	129	4	the	the	DET
ajst-12694	129	5	preference	preference	NOUN
ajst-12694	129	6	matrix	matrix	NOUN
ajst-12694	129	7	does	do	AUX
ajst-12694	129	8	not	not	PART
ajst-12694	129	9	have	have	VERB
ajst-12694	129	10	nonnegativity	nonnegativity	NOUN
ajst-12694	129	11	,	,	PUNCT
ajst-12694	129	12	this	this	DET
ajst-12694	129	13	method	method	NOUN
ajst-12694	129	14	can	can	AUX
ajst-12694	129	15	not	not	PART
ajst-12694	129	16	be	be	AUX
ajst-12694	129	17	used	use	VERB
ajst-12694	129	18	for	for	ADP
ajst-12694	129	19	optimization	optimization	NOUN
ajst-12694	129	20	.	.	PUNCT
ajst-12694	130	1	to	to	PART
ajst-12694	130	2	address	address	VERB
ajst-12694	130	3	these	these	DET
ajst-12694	130	4	issues	issue	NOUN
ajst-12694	130	5	,	,	PUNCT
ajst-12694	130	6	this	this	DET
ajst-12694	130	7	paper	paper	NOUN
ajst-12694	130	8	suggests	suggest	VERB
ajst-12694	130	9	matching	match	VERB
ajst-12694	130	10	optimization	optimization	NOUN
ajst-12694	130	11	methods	method	NOUN
ajst-12694	130	12	for	for	ADP
ajst-12694	130	13	mask	mask	NOUN
ajst-12694	130	14	fine	fine	ADV
ajst-12694	130	15	-	-	PUNCT
ajst-12694	130	16	tuning	tuning	NOUN
ajst-12694	130	17	using	use	VERB
ajst-12694	130	18	an	an	DET
ajst-12694	130	19	autosearcher	autosearcher	NOUN
ajst-12694	130	20	to	to	PART
ajst-12694	130	21	find	find	VERB
ajst-12694	130	22	the	the	DET
ajst-12694	130	23	best	good	ADJ
ajst-12694	130	24	fine	fine	ADJ
ajst-12694	130	25	-	-	PUNCT
ajst-12694	130	26	tuning	tuning	NOUN
ajst-12694	130	27	method	method	NOUN
ajst-12694	130	28	.	.	PUNCT
ajst-12694	131	1	for	for	ADP
ajst-12694	131	2	the	the	DET
ajst-12694	131	3	selected	select	VERB
ajst-12694	131	4	optimization	optimization	NOUN
ajst-12694	131	5	method	method	NOUN
ajst-12694	131	6	,	,	PUNCT
ajst-12694	131	7	the	the	DET
ajst-12694	131	8	searcher	searcher	NOUN
ajst-12694	131	9	first	first	ADV
ajst-12694	131	10	applies	apply	VERB
ajst-12694	131	11	it	it	PRON
ajst-12694	131	12	to	to	PART
ajst-12694	131	13	mask	mask	VERB
ajst-12694	131	14	blocks	block	NOUN
ajst-12694	131	15	for	for	ADP
ajst-12694	131	16	fine	fine	ADV
ajst-12694	131	17	-	-	PUNCT
ajst-12694	131	18	tuning	tuning	NOUN
ajst-12694	131	19	and	and	CCONJ
ajst-12694	131	20	then	then	ADV
ajst-12694	131	21	evaluates	evaluate	VERB
ajst-12694	131	22	the	the	DET
ajst-12694	131	23	model	model	NOUN
ajst-12694	131	24	's	's	PART
ajst-12694	131	25	loss	loss	NOUN
ajst-12694	131	26	after	after	ADP
ajst-12694	131	27	fine	fine	ADV
ajst-12694	131	28	-	-	PUNCT
ajst-12694	131	29	tuning	tuning	NOUN
ajst-12694	131	30	.	.	PUNCT
ajst-12694	132	1	through	through	ADP
ajst-12694	132	2	multiple	multiple	ADJ
ajst-12694	132	3	iterations	iteration	NOUN
ajst-12694	132	4	,	,	PUNCT
ajst-12694	132	5	the	the	DET
ajst-12694	132	6	final	final	ADJ
ajst-12694	132	7	mask	mask	NOUN
ajst-12694	132	8	fine	fine	ADV
ajst-12694	132	9	-	-	PUNCT
ajst-12694	132	10	tuning	tuning	NOUN
ajst-12694	132	11	method	method	NOUN
ajst-12694	132	12	can	can	AUX
ajst-12694	132	13	be	be	AUX
ajst-12694	132	14	determined	determine	VERB
ajst-12694	132	15	.	.	PUNCT
ajst-12694	133	1	finally	finally	ADV
ajst-12694	133	2	,	,	PUNCT
ajst-12694	133	3	this	this	DET
ajst-12694	133	4	method	method	NOUN
ajst-12694	133	5	is	be	AUX
ajst-12694	133	6	applied	apply	VERB
ajst-12694	133	7	to	to	PART
ajst-12694	133	8	optimize	optimize	VERB
ajst-12694	133	9	the	the	DET
ajst-12694	133	10	mask	mask	NOUN
ajst-12694	133	11	fine	fine	ADV
ajst-12694	133	12	-	-	PUNCT
ajst-12694	133	13	tuning	tuning	NOUN
ajst-12694	133	14	for	for	ADP
ajst-12694	133	15	the	the	DET
ajst-12694	133	16	pruned	prune	VERB
ajst-12694	133	17	model	model	NOUN
ajst-12694	133	18	.	.	PUNCT
ajst-12694	134	1	3	3	X
ajst-12694	134	2	.	.	X
ajst-12694	134	3	lightweight	lightweight	ADJ
ajst-12694	134	4	experiment	experiment	NOUN
ajst-12694	134	5	3.1	3.1	NUM
ajst-12694	134	6	.	.	PUNCT
ajst-12694	135	1	pruning	prune	VERB
ajst-12694	135	2	method	method	NOUN
ajst-12694	135	3	experiment	experiment	NOUN
ajst-12694	135	4	and	and	CCONJ
ajst-12694	135	5	analysis	analysis	NOUN
ajst-12694	135	6	the	the	DET
ajst-12694	135	7	following	follow	VERB
ajst-12694	135	8	table	table	NOUN
ajst-12694	135	9	,	,	PUNCT
ajst-12694	135	10	table.1	table.1	NOUN
ajst-12694	135	11	,	,	PUNCT
ajst-12694	135	12	displays	display	VERB
ajst-12694	135	13	the	the	DET
ajst-12694	135	14	experimental	experimental	ADJ
ajst-12694	135	15	results	result	NOUN
ajst-12694	135	16	of	of	ADP
ajst-12694	135	17	pruning	prune	VERB
ajst-12694	135	18	conducted	conduct	VERB
ajst-12694	135	19	on	on	ADP
ajst-12694	135	20	the	the	DET
ajst-12694	135	21	rgb	rgb	PROPN
ajst-12694	135	22	feature	feature	NOUN
ajst-12694	135	23	extractor	extractor	PROPN
ajst-12694	135	24	vision	vision	PROPN
ajst-12694	135	25	transformer	transformer	NOUN
ajst-12694	135	26	.	.	PUNCT
ajst-12694	136	1	pruning	prune	VERB
ajst-12694	136	2	is	be	AUX
ajst-12694	136	3	applied	apply	VERB
ajst-12694	136	4	exclusively	exclusively	ADV
ajst-12694	136	5	to	to	ADP
ajst-12694	136	6	the	the	DET
ajst-12694	136	7	weight	weight	NOUN
ajst-12694	136	8	matrices	matrix	NOUN
ajst-12694	136	9	of	of	ADP
ajst-12694	136	10	the	the	DET
ajst-12694	136	11	rgb	rgb	PROPN
ajst-12694	136	12	feature	feature	NOUN
ajst-12694	136	13	extractor	extractor	NOUN
ajst-12694	136	14	,	,	PUNCT
ajst-12694	136	15	without	without	ADP
ajst-12694	136	16	any	any	DET
ajst-12694	136	17	pruning	pruning	NOUN
ajst-12694	136	18	or	or	CCONJ
ajst-12694	136	19	quantization	quantization	NOUN
ajst-12694	136	20	applied	apply	VERB
ajst-12694	136	21	to	to	ADP
ajst-12694	136	22	the	the	DET
ajst-12694	136	23	other	other	ADJ
ajst-12694	136	24	half	half	NOUN
ajst-12694	136	25	of	of	ADP
ajst-12694	136	26	the	the	DET
ajst-12694	136	27	model	model	NOUN
ajst-12694	136	28	.	.	PUNCT
ajst-12694	137	1	pruning	prune	VERB
ajst-12694	137	2	experiments	experiment	NOUN
ajst-12694	137	3	are	be	AUX
ajst-12694	137	4	conducted	conduct	VERB
ajst-12694	137	5	with	with	ADP
ajst-12694	137	6	flops	flop	NOUN
ajst-12694	137	7	as	as	ADP
ajst-12694	137	8	the	the	DET
ajst-12694	137	9	14	14	NUM
ajst-12694	137	10	constraint	constraint	NOUN
ajst-12694	137	11	,	,	PUNCT
ajst-12694	137	12	where	where	SCONJ
ajst-12694	137	13	a	a	DET
ajst-12694	137	14	flops	flop	NOUN
ajst-12694	137	15	constraint	constraint	NOUN
ajst-12694	137	16	of	of	ADP
ajst-12694	137	17	1.0	1.0	NUM
ajst-12694	137	18	represents	represent	VERB
ajst-12694	137	19	the	the	DET
ajst-12694	137	20	baseline	baseline	NOUN
ajst-12694	137	21	model	model	NOUN
ajst-12694	137	22	without	without	ADP
ajst-12694	137	23	any	any	DET
ajst-12694	137	24	pruning	pruning	NOUN
ajst-12694	137	25	.	.	PUNCT
ajst-12694	138	1	in	in	ADP
ajst-12694	138	2	this	this	DET
ajst-12694	138	3	context	context	NOUN
ajst-12694	138	4	,	,	PUNCT
ajst-12694	138	5	"	"	PUNCT
ajst-12694	138	6	inference	inference	NOUN
ajst-12694	138	7	time	time	NOUN
ajst-12694	138	8	"	"	PUNCT
ajst-12694	138	9	refers	refer	VERB
ajst-12694	138	10	to	to	ADP
ajst-12694	138	11	the	the	DET
ajst-12694	138	12	time	time	NOUN
ajst-12694	138	13	taken	take	VERB
ajst-12694	138	14	from	from	ADP
ajst-12694	138	15	the	the	DET
ajst-12694	138	16	input	input	NOUN
ajst-12694	138	17	to	to	ADP
ajst-12694	138	18	the	the	DET
ajst-12694	138	19	pruning	pruning	NOUN
ajst-12694	138	20	module	module	NOUN
ajst-12694	138	21	to	to	ADP
ajst-12694	138	22	its	its	PRON
ajst-12694	138	23	output	output	NOUN
ajst-12694	138	24	,	,	PUNCT
ajst-12694	138	25	not	not	PART
ajst-12694	138	26	the	the	DET
ajst-12694	138	27	overall	overall	ADJ
ajst-12694	138	28	model	model	NOUN
ajst-12694	138	29	's	's	PART
ajst-12694	138	30	inference	inference	NOUN
ajst-12694	138	31	runtime	runtime	NOUN
ajst-12694	138	32	.	.	PUNCT
ajst-12694	139	1	table	table	NOUN
ajst-12694	139	2	1	1	NUM
ajst-12694	139	3	.	.	PUNCT
ajst-12694	140	1	the	the	DET
ajst-12694	140	2	experiment	experiment	NOUN
ajst-12694	140	3	results	result	VERB
ajst-12694	140	4	for	for	ADP
ajst-12694	140	5	pruning	prune	VERB
ajst-12694	140	6	under	under	ADP
ajst-12694	140	7	different	different	ADJ
ajst-12694	140	8	flops	flop	NOUN
ajst-12694	140	9	constraints	constraint	VERB
ajst-12694	140	10	flops	flop	NOUN
ajst-12694	140	11	constraint	constraint	VERB
ajst-12694	140	12	0.5	0.5	NUM
ajst-12694	140	13	0.6	0.6	NUM
ajst-12694	140	14	0.7	0.7	NUM
ajst-12694	140	15	0.8	0.8	NUM
ajst-12694	140	16	0.9	0.9	NUM
ajst-12694	140	17	1.0	1.0	NUM
ajst-12694	140	18	inference	inference	NOUN
ajst-12694	140	19	time(s	time(s	NOUN
ajst-12694	140	20	)	)	PUNCT
ajst-12694	140	21	7.21	7.21	NUM
ajst-12694	140	22	7.35	7.35	NUM
ajst-12694	140	23	8.23	8.23	NUM
ajst-12694	140	24	8.45	8.45	NUM
ajst-12694	140	25	9.01	9.01	NUM
ajst-12694	140	26	9.48	9.48	NUM
ajst-12694	140	27	au	au	PROPN
ajst-12694	140	28	pro	pro	X
ajst-12694	140	29	0.868	0.868	NUM
ajst-12694	140	30	0.908	0.908	NUM
ajst-12694	140	31	0.917	0.917	NUM
ajst-12694	140	32	0.944	0.944	NUM
ajst-12694	140	33	0.967	0.967	NUM
ajst-12694	140	34	0.967	0.967	NUM
ajst-12694	140	35	image	image	NOUN
ajst-12694	140	36	rocauc	rocauc	NOUN
ajst-12694	140	37	0.798	0.798	NUM
ajst-12694	140	38	0.804	0.804	NUM
ajst-12694	140	39	0.831	0.831	NUM
ajst-12694	140	40	0.836	0.836	NUM
ajst-12694	140	41	0.867	0.867	NUM
ajst-12694	140	42	0.884	0.884	NUM
ajst-12694	140	43	pixel	pixel	NOUN
ajst-12694	140	44	rocauc	rocauc	NOUN
ajst-12694	140	45	0.915	0.915	NUM
ajst-12694	140	46	0.929	0.929	NUM
ajst-12694	140	47	0.956	0.956	NUM
ajst-12694	140	48	0.977	0.977	NUM
ajst-12694	140	49	0.983	0.983	NUM
ajst-12694	140	50	0.991	0.991	NUM
ajst-12694	140	51	the	the	DET
ajst-12694	140	52	experimental	experimental	ADJ
ajst-12694	140	53	results	result	NOUN
ajst-12694	140	54	from	from	ADP
ajst-12694	140	55	table.1	table.1	NOUN
ajst-12694	140	56	show	show	VERB
ajst-12694	140	57	a	a	DET
ajst-12694	140	58	positive	positive	ADJ
ajst-12694	140	59	correlation	correlation	NOUN
ajst-12694	140	60	between	between	ADP
ajst-12694	140	61	flops	flop	NOUN
ajst-12694	140	62	constraints	constraint	NOUN
ajst-12694	140	63	and	and	CCONJ
ajst-12694	140	64	the	the	DET
ajst-12694	140	65	pruning	prune	VERB
ajst-12694	140	66	effect	effect	NOUN
ajst-12694	140	67	.	.	PUNCT
ajst-12694	141	1	as	as	SCONJ
ajst-12694	141	2	the	the	DET
ajst-12694	141	3	flops	flop	NOUN
ajst-12694	141	4	constraint	constraint	VERB
ajst-12694	141	5	increases	increase	NOUN
ajst-12694	141	6	,	,	PUNCT
ajst-12694	141	7	the	the	DET
ajst-12694	141	8	pruned	prune	VERB
ajst-12694	141	9	model	model	NOUN
ajst-12694	141	10	's	's	PART
ajst-12694	141	11	inference	inference	NOUN
ajst-12694	141	12	performance	performance	NOUN
ajst-12694	141	13	improves	improve	VERB
ajst-12694	141	14	,	,	PUNCT
ajst-12694	141	15	but	but	CCONJ
ajst-12694	141	16	correspondingly	correspondingly	ADV
ajst-12694	141	17	,	,	PUNCT
ajst-12694	141	18	the	the	DET
ajst-12694	141	19	inference	inference	NOUN
ajst-12694	141	20	time	time	NOUN
ajst-12694	141	21	also	also	ADV
ajst-12694	141	22	increases	increase	VERB
ajst-12694	141	23	.	.	PUNCT
ajst-12694	142	1	essentially	essentially	ADV
ajst-12694	142	2	,	,	PUNCT
ajst-12694	142	3	this	this	PRON
ajst-12694	142	4	is	be	AUX
ajst-12694	142	5	because	because	SCONJ
ajst-12694	142	6	the	the	DET
ajst-12694	142	7	growth	growth	NOUN
ajst-12694	142	8	in	in	ADP
ajst-12694	142	9	flops	flop	NOUN
ajst-12694	142	10	constraints	constraint	NOUN
ajst-12694	142	11	continuously	continuously	ADV
ajst-12694	142	12	weakens	weaken	VERB
ajst-12694	142	13	the	the	DET
ajst-12694	142	14	pruning	prune	VERB
ajst-12694	142	15	intensity	intensity	NOUN
ajst-12694	142	16	,	,	PUNCT
ajst-12694	142	17	resulting	result	VERB
ajst-12694	142	18	in	in	ADP
ajst-12694	142	19	fewer	few	ADJ
ajst-12694	142	20	pruned	pruned	ADJ
ajst-12694	142	21	weights	weight	NOUN
ajst-12694	142	22	and	and	CCONJ
ajst-12694	142	23	thus	thus	ADV
ajst-12694	142	24	improving	improve	VERB
ajst-12694	142	25	inference	inference	NOUN
ajst-12694	142	26	performance	performance	NOUN
ajst-12694	142	27	.	.	PUNCT
ajst-12694	143	1	however	however	ADV
ajst-12694	143	2	,	,	PUNCT
ajst-12694	143	3	it	it	PRON
ajst-12694	143	4	is	be	AUX
ajst-12694	143	5	well	well	ADV
ajst-12694	143	6	-	-	PUNCT
ajst-12694	143	7	known	know	VERB
ajst-12694	143	8	that	that	SCONJ
ajst-12694	143	9	pruning	prune	VERB
ajst-12694	143	10	operations	operation	NOUN
ajst-12694	143	11	inevitably	inevitably	ADV
ajst-12694	143	12	lead	lead	VERB
ajst-12694	143	13	to	to	ADP
ajst-12694	143	14	a	a	DET
ajst-12694	143	15	decrease	decrease	NOUN
ajst-12694	143	16	in	in	ADP
ajst-12694	143	17	model	model	NOUN
ajst-12694	143	18	detection	detection	NOUN
ajst-12694	143	19	performance	performance	NOUN
ajst-12694	143	20	.	.	PUNCT
ajst-12694	144	1	therefore	therefore	ADV
ajst-12694	144	2	,	,	PUNCT
ajst-12694	144	3	the	the	DET
ajst-12694	144	4	improvement	improvement	NOUN
ajst-12694	144	5	in	in	ADP
ajst-12694	144	6	model	model	NOUN
ajst-12694	144	7	detection	detection	NOUN
ajst-12694	144	8	performance	performance	NOUN
ajst-12694	144	9	here	here	ADV
ajst-12694	144	10	is	be	AUX
ajst-12694	144	11	not	not	PART
ajst-12694	144	12	due	due	ADJ
ajst-12694	144	13	to	to	ADP
ajst-12694	144	14	the	the	DET
ajst-12694	144	15	positive	positive	ADJ
ajst-12694	144	16	effects	effect	NOUN
ajst-12694	144	17	of	of	ADP
ajst-12694	144	18	pruning	pruning	NOUN
ajst-12694	144	19	but	but	CCONJ
ajst-12694	144	20	rather	rather	ADV
ajst-12694	144	21	a	a	DET
ajst-12694	144	22	reduction	reduction	NOUN
ajst-12694	144	23	in	in	ADP
ajst-12694	144	24	the	the	DET
ajst-12694	144	25	negative	negative	ADJ
ajst-12694	144	26	effects	effect	NOUN
ajst-12694	144	27	caused	cause	VERB
ajst-12694	144	28	by	by	ADP
ajst-12694	144	29	pruning	prune	VERB
ajst-12694	144	30	.	.	PUNCT
ajst-12694	145	1	selecting	select	VERB
ajst-12694	145	2	an	an	DET
ajst-12694	145	3	appropriate	appropriate	ADJ
ajst-12694	145	4	flops	flop	NOUN
ajst-12694	145	5	constraint	constraint	VERB
ajst-12694	145	6	for	for	ADP
ajst-12694	145	7	pruning	prune	VERB
ajst-12694	145	8	algorithms	algorithm	NOUN
ajst-12694	145	9	involves	involve	VERB
ajst-12694	145	10	striking	strike	VERB
ajst-12694	145	11	a	a	DET
ajst-12694	145	12	balance	balance	NOUN
ajst-12694	145	13	between	between	ADP
ajst-12694	145	14	the	the	DET
ajst-12694	145	15	model	model	NOUN
ajst-12694	145	16	's	's	PART
ajst-12694	145	17	inference	inference	NOUN
ajst-12694	145	18	performance	performance	NOUN
ajst-12694	145	19	and	and	CCONJ
ajst-12694	145	20	inference	inference	NOUN
ajst-12694	145	21	speed	speed	NOUN
ajst-12694	145	22	.	.	PUNCT
ajst-12694	146	1	to	to	PART
ajst-12694	146	2	better	well	ADV
ajst-12694	146	3	understand	understand	VERB
ajst-12694	146	4	this	this	DET
ajst-12694	146	5	relationship	relationship	NOUN
ajst-12694	146	6	,	,	PUNCT
ajst-12694	146	7	the	the	DET
ajst-12694	146	8	model	model	NOUN
ajst-12694	146	9	's	's	PART
ajst-12694	146	10	inference	inference	NOUN
ajst-12694	146	11	speed	speed	NOUN
ajst-12694	146	12	and	and	CCONJ
ajst-12694	146	13	inference	inference	NOUN
ajst-12694	146	14	performance	performance	NOUN
ajst-12694	146	15	trends	trend	NOUN
ajst-12694	146	16	are	be	AUX
ajst-12694	146	17	plotted	plot	VERB
ajst-12694	146	18	against	against	ADP
ajst-12694	146	19	flops	flop	NOUN
ajst-12694	146	20	constraints	constraint	NOUN
ajst-12694	146	21	,	,	PUNCT
ajst-12694	146	22	as	as	SCONJ
ajst-12694	146	23	shown	show	VERB
ajst-12694	146	24	in	in	ADP
ajst-12694	146	25	figure.4	figure.4	PROPN
ajst-12694	146	26	.	.	PUNCT
ajst-12694	147	1	since	since	SCONJ
ajst-12694	147	2	there	there	PRON
ajst-12694	147	3	is	be	VERB
ajst-12694	147	4	a	a	DET
ajst-12694	147	5	difference	difference	NOUN
ajst-12694	147	6	of	of	ADP
ajst-12694	147	7	one	one	NUM
ajst-12694	147	8	order	order	NOUN
ajst-12694	147	9	of	of	ADP
ajst-12694	147	10	magnitude	magnitude	NOUN
ajst-12694	147	11	between	between	ADP
ajst-12694	147	12	the	the	DET
ajst-12694	147	13	model	model	NOUN
ajst-12694	147	14	's	's	PART
ajst-12694	147	15	inference	inference	NOUN
ajst-12694	147	16	time	time	NOUN
ajst-12694	147	17	and	and	CCONJ
ajst-12694	147	18	inference	inference	NOUN
ajst-12694	147	19	performance	performance	NOUN
ajst-12694	147	20	,	,	PUNCT
ajst-12694	147	21	the	the	DET
ajst-12694	147	22	inference	inference	NOUN
ajst-12694	147	23	speed	speed	NOUN
ajst-12694	147	24	is	be	AUX
ajst-12694	147	25	scaled	scale	VERB
ajst-12694	147	26	down	down	ADP
ajst-12694	147	27	by	by	ADP
ajst-12694	147	28	a	a	DET
ajst-12694	147	29	factor	factor	NOUN
ajst-12694	147	30	of	of	ADP
ajst-12694	147	31	10	10	NUM
ajst-12694	147	32	in	in	ADP
ajst-12694	147	33	the	the	DET
ajst-12694	147	34	trend	trend	NOUN
ajst-12694	147	35	graph	graph	NOUN
ajst-12694	147	36	to	to	PART
ajst-12694	147	37	better	well	ADV
ajst-12694	147	38	observe	observe	VERB
ajst-12694	147	39	the	the	DET
ajst-12694	147	40	changes	change	NOUN
ajst-12694	147	41	in	in	ADP
ajst-12694	147	42	trends	trend	NOUN
ajst-12694	147	43	.	.	PUNCT
ajst-12694	148	1	figure	figure	VERB
ajst-12694	148	2	4	4	NUM
ajst-12694	148	3	.	.	PUNCT
ajst-12694	149	1	the	the	DET
ajst-12694	149	2	comparison	comparison	NOUN
ajst-12694	149	3	of	of	ADP
ajst-12694	149	4	pruning	prune	VERB
ajst-12694	149	5	performance	performance	NOUN
ajst-12694	149	6	and	and	CCONJ
ajst-12694	149	7	its	its	PRON
ajst-12694	149	8	effects	effect	NOUN
ajst-12694	149	9	on	on	ADP
ajst-12694	149	10	performance	performance	NOUN
ajst-12694	149	11	trends	trend	NOUN
ajst-12694	149	12	3.2	3.2	NUM
ajst-12694	149	13	.	.	PUNCT
ajst-12694	150	1	the	the	DET
ajst-12694	150	2	experiments	experiment	NOUN
ajst-12694	150	3	and	and	CCONJ
ajst-12694	150	4	analysis	analysis	NOUN
ajst-12694	150	5	of	of	ADP
ajst-12694	150	6	the	the	DET
ajst-12694	150	7	quantization	quantization	NOUN
ajst-12694	150	8	method	method	NOUN
ajst-12694	150	9	table	table	NOUN
ajst-12694	150	10	2	2	NUM
ajst-12694	150	11	.	.	PUNCT
ajst-12694	151	1	the	the	DET
ajst-12694	151	2	experiment	experiment	NOUN
ajst-12694	151	3	results	result	VERB
ajst-12694	151	4	for	for	ADP
ajst-12694	151	5	pruning	prune	VERB
ajst-12694	151	6	under	under	ADP
ajst-12694	151	7	different	different	ADJ
ajst-12694	151	8	flops	flop	NOUN
ajst-12694	151	9	constraints	constraint	NOUN
ajst-12694	151	10	methods	method	NOUN
ajst-12694	151	11	au	au	VERB
ajst-12694	151	12	pro	pro	X
ajst-12694	151	13	image	image	NOUN
ajst-12694	151	14	rocauc	rocauc	PROPN
ajst-12694	151	15	pixel	pixel	PROPN
ajst-12694	151	16	rocauc	rocauc	PROPN
ajst-12694	151	17	inference	inference	NOUN
ajst-12694	151	18	time(s	time(s	NOUN
ajst-12694	151	19	)	)	PUNCT
ajst-12694	151	20	full	full	ADJ
ajst-12694	151	21	precision	precision	NOUN
ajst-12694	151	22	0.967	0.967	NUM
ajst-12694	151	23	0.884	0.884	NUM
ajst-12694	151	24	0.991	0.991	NUM
ajst-12694	151	25	5.84	5.84	NUM
ajst-12694	151	26	minmax	minmax	X
ajst-12694	151	27	0.754	0.754	NUM
ajst-12694	151	28	0.611	0.611	NUM
ajst-12694	151	29	0.928	0.928	NUM
ajst-12694	151	30	4.68	4.68	NUM
ajst-12694	151	31	ema	ema	PROPN
ajst-12694	151	32	0.76	0.76	NUM
ajst-12694	151	33	0.612	0.612	NUM
ajst-12694	151	34	0.931	0.931	NUM
ajst-12694	151	35	4.96	4.96	NUM
ajst-12694	151	36	percentile	percentile	NOUN
ajst-12694	151	37	0.76	0.76	NUM
ajst-12694	151	38	0.618	0.618	NUM
ajst-12694	151	39	0.932	0.932	NUM
ajst-12694	151	40	4.96	4.96	NUM
ajst-12694	151	41	omse	omse	NOUN
ajst-12694	151	42	0.76	0.76	NUM
ajst-12694	151	43	0.622	0.622	NUM
ajst-12694	151	44	0.936	0.936	NUM
ajst-12694	151	45	4.96	4.96	NUM
ajst-12694	151	46	ours	ours	PRON
ajst-12694	151	47	0.771	0.771	NUM
ajst-12694	151	48	0.629	0.629	NUM
ajst-12694	151	49	0.941	0.941	NUM
ajst-12694	151	50	3.01	3.01	NUM
ajst-12694	151	51	from	from	ADP
ajst-12694	151	52	the	the	DET
ajst-12694	151	53	experimental	experimental	ADJ
ajst-12694	151	54	results	result	NOUN
ajst-12694	151	55	,	,	PUNCT
ajst-12694	151	56	it	it	PRON
ajst-12694	151	57	can	can	AUX
ajst-12694	151	58	be	be	AUX
ajst-12694	151	59	observed	observe	VERB
ajst-12694	151	60	that	that	SCONJ
ajst-12694	151	61	the	the	DET
ajst-12694	151	62	quantization	quantization	NOUN
ajst-12694	151	63	method	method	NOUN
ajst-12694	151	64	proposed	propose	VERB
ajst-12694	151	65	in	in	ADP
ajst-12694	151	66	this	this	DET
ajst-12694	151	67	study	study	NOUN
ajst-12694	151	68	outperforms	outperform	VERB
ajst-12694	151	69	other	other	ADJ
ajst-12694	151	70	methods	method	NOUN
ajst-12694	151	71	in	in	ADP
ajst-12694	151	72	terms	term	NOUN
ajst-12694	151	73	of	of	ADP
ajst-12694	151	74	both	both	PRON
ajst-12694	151	75	detection	detection	NOUN
ajst-12694	151	76	performance	performance	NOUN
ajst-12694	151	77	and	and	CCONJ
ajst-12694	151	78	inference	inference	NOUN
ajst-12694	151	79	speed	speed	NOUN
ajst-12694	151	80	.	.	PUNCT
ajst-12694	152	1	the	the	DET
ajst-12694	152	2	quantization	quantization	NOUN
ajst-12694	152	3	method	method	NOUN
ajst-12694	152	4	introduced	introduce	VERB
ajst-12694	152	5	in	in	ADP
ajst-12694	152	6	this	this	DET
ajst-12694	152	7	paper	paper	NOUN
ajst-12694	152	8	exhibits	exhibit	VERB
ajst-12694	152	9	an	an	DET
ajst-12694	152	10	improvement	improvement	NOUN
ajst-12694	152	11	in	in	ADP
ajst-12694	152	12	detection	detection	NOUN
ajst-12694	152	13	performance	performance	NOUN
ajst-12694	152	14	compared	compare	VERB
ajst-12694	152	15	to	to	ADP
ajst-12694	152	16	the	the	DET
ajst-12694	152	17	comparative	comparative	ADJ
ajst-12694	152	18	methods	method	NOUN
ajst-12694	152	19	.	.	PUNCT
ajst-12694	153	1	additionally	additionally	ADV
ajst-12694	153	2	,	,	PUNCT
ajst-12694	153	3	it	it	PRON
ajst-12694	153	4	significantly	significantly	ADV
ajst-12694	153	5	outpaces	outpace	VERB
ajst-12694	153	6	these	these	DET
ajst-12694	153	7	methods	method	NOUN
ajst-12694	153	8	in	in	ADP
ajst-12694	153	9	terms	term	NOUN
ajst-12694	153	10	of	of	ADP
ajst-12694	153	11	model	model	NOUN
ajst-12694	153	12	inference	inference	NOUN
ajst-12694	153	13	speed	speed	NOUN
ajst-12694	153	14	,	,	PUNCT
ajst-12694	153	15	highlighting	highlight	VERB
ajst-12694	153	16	the	the	DET
ajst-12694	153	17	effectiveness	effectiveness	NOUN
ajst-12694	153	18	of	of	ADP
ajst-12694	153	19	the	the	DET
ajst-12694	153	20	proposed	propose	VERB
ajst-12694	153	21	quantization	quantization	NOUN
ajst-12694	153	22	0.7	0.7	NUM
ajst-12694	153	23	0.75	0.75	NUM
ajst-12694	153	24	0.8	0.8	NUM
ajst-12694	153	25	0.85	0.85	NUM
ajst-12694	153	26	0.9	0.9	NUM
ajst-12694	153	27	0.95	0.95	NUM
ajst-12694	153	28	1	1	NUM
ajst-12694	153	29	0.5	0.5	NUM
ajst-12694	153	30	0.6	0.6	NUM
ajst-12694	153	31	0.7	0.7	NUM
ajst-12694	153	32	0.8	0.8	NUM
ajst-12694	153	33	0.9	0.9	NUM
ajst-12694	153	34	1	1	NUM
ajst-12694	153	35	au	au	X
ajst-12694	153	36	pro	pro	X
ajst-12694	153	37	image	image	NOUN
ajst-12694	153	38	rocauc	rocauc	PROPN
ajst-12694	153	39	pixel	pixel	PROPN
ajst-12694	153	40	rocauc	rocauc	PROPN
ajst-12694	153	41	inference	inference	PROPN
ajst-12694	153	42	time	time	NOUN
ajst-12694	153	43	15	15	NUM
ajst-12694	153	44	method	method	NOUN
ajst-12694	153	45	.	.	PUNCT
ajst-12694	154	1	compared	compare	VERB
ajst-12694	154	2	to	to	ADP
ajst-12694	154	3	the	the	DET
ajst-12694	154	4	full	full	ADJ
ajst-12694	154	5	precision	precision	NOUN
ajst-12694	154	6	baseline	baseline	NOUN
ajst-12694	154	7	model	model	NOUN
ajst-12694	154	8	without	without	ADP
ajst-12694	154	9	quantization	quantization	NOUN
ajst-12694	154	10	,	,	PUNCT
ajst-12694	154	11	the	the	DET
ajst-12694	154	12	inference	inference	NOUN
ajst-12694	154	13	speed	speed	NOUN
ajst-12694	154	14	increased	increase	VERB
ajst-12694	154	15	by	by	ADP
ajst-12694	154	16	48.4	48.4	NUM
ajst-12694	154	17	%	%	NOUN
ajst-12694	154	18	,	,	PUNCT
ajst-12694	154	19	but	but	CCONJ
ajst-12694	154	20	the	the	DET
ajst-12694	154	21	detection	detection	NOUN
ajst-12694	154	22	performance	performance	NOUN
ajst-12694	154	23	,	,	PUNCT
ajst-12694	154	24	measured	measure	VERB
ajst-12694	154	25	by	by	ADP
ajst-12694	154	26	au	au	ADJ
ajst-12694	154	27	pro	pro	X
ajst-12694	154	28	,	,	PUNCT
ajst-12694	154	29	decreased	decrease	VERB
ajst-12694	154	30	by	by	ADP
ajst-12694	154	31	20.3	20.3	NUM
ajst-12694	154	32	%	%	NOUN
ajst-12694	154	33	.	.	PUNCT
ajst-12694	155	1	this	this	DET
ajst-12694	155	2	performance	performance	NOUN
ajst-12694	155	3	improvement	improvement	NOUN
ajst-12694	155	4	comes	come	VERB
ajst-12694	155	5	at	at	ADP
ajst-12694	155	6	the	the	DET
ajst-12694	155	7	cost	cost	NOUN
ajst-12694	155	8	of	of	ADP
ajst-12694	155	9	a	a	DET
ajst-12694	155	10	substantial	substantial	ADJ
ajst-12694	155	11	drop	drop	NOUN
ajst-12694	155	12	in	in	ADP
ajst-12694	155	13	detection	detection	NOUN
ajst-12694	155	14	performance	performance	NOUN
ajst-12694	155	15	.	.	PUNCT
ajst-12694	156	1	this	this	PRON
ajst-12694	156	2	is	be	AUX
ajst-12694	156	3	mainly	mainly	ADV
ajst-12694	156	4	due	due	ADJ
ajst-12694	156	5	to	to	ADP
ajst-12694	156	6	the	the	DET
ajst-12694	156	7	fact	fact	NOUN
ajst-12694	156	8	that	that	SCONJ
ajst-12694	156	9	in	in	ADP
ajst-12694	156	10	the	the	DET
ajst-12694	156	11	quantization	quantization	NOUN
ajst-12694	156	12	experiments	experiment	NOUN
ajst-12694	156	13	,	,	PUNCT
ajst-12694	156	14	only	only	ADV
ajst-12694	156	15	the	the	DET
ajst-12694	156	16	point	point	NOUN
ajst-12694	156	17	transformer	transformer	NOUN
ajst-12694	156	18	was	be	AUX
ajst-12694	156	19	used	use	VERB
ajst-12694	156	20	as	as	ADP
ajst-12694	156	21	the	the	DET
ajst-12694	156	22	feature	feature	NOUN
ajst-12694	156	23	extractor	extractor	NOUN
ajst-12694	156	24	,	,	PUNCT
ajst-12694	156	25	and	and	CCONJ
ajst-12694	156	26	the	the	DET
ajst-12694	156	27	rgb	rgb	PROPN
ajst-12694	156	28	feature	feature	NOUN
ajst-12694	156	29	extractor	extractor	NOUN
ajst-12694	156	30	was	be	AUX
ajst-12694	156	31	not	not	PART
ajst-12694	156	32	utilized	utilize	VERB
ajst-12694	156	33	.	.	PUNCT
ajst-12694	157	1	consequently	consequently	ADV
ajst-12694	157	2	,	,	PUNCT
ajst-12694	157	3	the	the	DET
ajst-12694	157	4	model	model	NOUN
ajst-12694	157	5	's	's	PART
ajst-12694	157	6	detection	detection	NOUN
ajst-12694	157	7	performance	performance	NOUN
ajst-12694	157	8	was	be	AUX
ajst-12694	157	9	significantly	significantly	ADV
ajst-12694	157	10	reduced	reduce	VERB
ajst-12694	157	11	in	in	ADP
ajst-12694	157	12	the	the	DET
ajst-12694	157	13	absence	absence	NOUN
ajst-12694	157	14	of	of	ADP
ajst-12694	157	15	rgb	rgb	PROPN
ajst-12694	157	16	features	feature	NOUN
ajst-12694	157	17	.	.	PUNCT
ajst-12694	158	1	furthermore	furthermore	ADV
ajst-12694	158	2	,	,	PUNCT
ajst-12694	158	3	3d	3d	NUM
ajst-12694	158	4	point	point	NOUN
ajst-12694	158	5	cloud	cloud	NOUN
ajst-12694	158	6	features	feature	NOUN
ajst-12694	158	7	are	be	AUX
ajst-12694	158	8	characterized	characterize	VERB
ajst-12694	158	9	by	by	ADP
ajst-12694	158	10	sparsity	sparsity	NOUN
ajst-12694	158	11	and	and	CCONJ
ajst-12694	158	12	unordered	unordered	ADJ
ajst-12694	158	13	data	datum	NOUN
ajst-12694	158	14	,	,	PUNCT
ajst-12694	158	15	making	make	VERB
ajst-12694	158	16	them	they	PRON
ajst-12694	158	17	more	more	ADV
ajst-12694	158	18	suitable	suitable	ADJ
ajst-12694	158	19	for	for	ADP
ajst-12694	158	20	representing	represent	VERB
ajst-12694	158	21	point	point	NOUN
ajst-12694	158	22	distribution	distribution	NOUN
ajst-12694	158	23	and	and	CCONJ
ajst-12694	158	24	spatial	spatial	ADJ
ajst-12694	158	25	relationships	relationship	NOUN
ajst-12694	158	26	.	.	PUNCT
ajst-12694	159	1	however	however	ADV
ajst-12694	159	2	,	,	PUNCT
ajst-12694	159	3	they	they	PRON
ajst-12694	159	4	are	be	AUX
ajst-12694	159	5	less	less	ADV
ajst-12694	159	6	adept	adept	ADJ
ajst-12694	159	7	at	at	ADP
ajst-12694	159	8	capturing	capture	VERB
ajst-12694	159	9	image	image	NOUN
ajst-12694	159	10	texture	texture	NOUN
ajst-12694	159	11	features	feature	NOUN
ajst-12694	159	12	.	.	PUNCT
ajst-12694	160	1	this	this	PRON
ajst-12694	160	2	explains	explain	VERB
ajst-12694	160	3	the	the	DET
ajst-12694	160	4	substantial	substantial	ADJ
ajst-12694	160	5	drop	drop	NOUN
ajst-12694	160	6	in	in	ADP
ajst-12694	160	7	detection	detection	NOUN
ajst-12694	160	8	performance	performance	NOUN
ajst-12694	160	9	when	when	SCONJ
ajst-12694	160	10	only	only	ADV
ajst-12694	160	11	3d	3d	NUM
ajst-12694	160	12	point	point	NOUN
ajst-12694	160	13	cloud	cloud	NOUN
ajst-12694	160	14	features	feature	NOUN
ajst-12694	160	15	were	be	AUX
ajst-12694	160	16	used	use	VERB
ajst-12694	160	17	.	.	PUNCT
ajst-12694	161	1	notably	notably	ADV
ajst-12694	161	2	,	,	PUNCT
ajst-12694	161	3	while	while	SCONJ
ajst-12694	161	4	the	the	DET
ajst-12694	161	5	au	au	ADJ
ajst-12694	161	6	pro	pro	ADJ
ajst-12694	161	7	and	and	CCONJ
ajst-12694	161	8	image	image	NOUN
ajst-12694	161	9	rocauc	rocauc	NOUN
ajst-12694	161	10	metrics	metric	NOUN
ajst-12694	161	11	experienced	experience	VERB
ajst-12694	161	12	a	a	DET
ajst-12694	161	13	significant	significant	ADJ
ajst-12694	161	14	decline	decline	NOUN
ajst-12694	161	15	,	,	PUNCT
ajst-12694	161	16	the	the	DET
ajst-12694	161	17	pixel	pixel	PROPN
ajst-12694	161	18	rocauc	rocauc	PROPN
ajst-12694	161	19	metric	metric	PROPN
ajst-12694	161	20	decreased	decrease	VERB
ajst-12694	161	21	to	to	ADP
ajst-12694	161	22	a	a	DET
ajst-12694	161	23	lesser	less	ADJ
ajst-12694	161	24	extent	extent	NOUN
ajst-12694	161	25	,	,	PUNCT
ajst-12694	161	26	indicating	indicate	VERB
ajst-12694	161	27	that	that	SCONJ
ajst-12694	161	28	pixel	pixel	ADJ
ajst-12694	161	29	-	-	PUNCT
ajst-12694	161	30	level	level	NOUN
ajst-12694	161	31	segmentation	segmentation	NOUN
ajst-12694	161	32	performance	performance	NOUN
ajst-12694	161	33	was	be	AUX
ajst-12694	161	34	less	less	ADV
ajst-12694	161	35	affected	affected	ADJ
ajst-12694	161	36	.	.	PUNCT
ajst-12694	162	1	3.3	3.3	NUM
ajst-12694	162	2	.	.	PUNCT
ajst-12694	163	1	the	the	DET
ajst-12694	163	2	experiments	experiment	NOUN
ajst-12694	163	3	and	and	CCONJ
ajst-12694	163	4	analysis	analysis	NOUN
ajst-12694	163	5	of	of	ADP
ajst-12694	163	6	the	the	DET
ajst-12694	163	7	combination	combination	NOUN
ajst-12694	163	8	of	of	ADP
ajst-12694	163	9	pruning	prune	VERB
ajst-12694	163	10	and	and	CCONJ
ajst-12694	163	11	quantization	quantization	NOUN
ajst-12694	163	12	figure	figure	NOUN
ajst-12694	163	13	5	5	NUM
ajst-12694	163	14	.	.	PUNCT
ajst-12694	164	1	the	the	DET
ajst-12694	164	2	trend	trend	NOUN
ajst-12694	164	3	comparison	comparison	NOUN
ajst-12694	164	4	chart	chart	NOUN
ajst-12694	164	5	between	between	ADP
ajst-12694	164	6	model	model	NOUN
ajst-12694	164	7	detection	detection	NOUN
ajst-12694	164	8	average	average	ADJ
ajst-12694	164	9	precision	precision	NOUN
ajst-12694	164	10	and	and	CCONJ
ajst-12694	164	11	detection	detection	NOUN
ajst-12694	164	12	time	time	NOUN
ajst-12694	164	13	from	from	ADP
ajst-12694	164	14	the	the	DET
ajst-12694	164	15	experimental	experimental	ADJ
ajst-12694	164	16	trend	trend	NOUN
ajst-12694	164	17	comparison	comparison	NOUN
ajst-12694	164	18	chart	chart	NOUN
ajst-12694	164	19	in	in	ADP
ajst-12694	164	20	figure.5	figure.5	PROPN
ajst-12694	164	21	,	,	PUNCT
ajst-12694	164	22	we	we	PRON
ajst-12694	164	23	can	can	AUX
ajst-12694	164	24	observe	observe	VERB
ajst-12694	164	25	that	that	SCONJ
ajst-12694	164	26	the	the	DET
ajst-12694	164	27	baseline	baseline	NOUN
ajst-12694	164	28	model	model	NOUN
ajst-12694	164	29	has	have	VERB
ajst-12694	164	30	the	the	DET
ajst-12694	164	31	best	good	ADJ
ajst-12694	164	32	average	average	ADJ
ajst-12694	164	33	detection	detection	NOUN
ajst-12694	164	34	performance	performance	NOUN
ajst-12694	164	35	,	,	PUNCT
ajst-12694	164	36	but	but	CCONJ
ajst-12694	164	37	at	at	ADP
ajst-12694	164	38	the	the	DET
ajst-12694	164	39	same	same	ADJ
ajst-12694	164	40	time	time	NOUN
ajst-12694	164	41	,	,	PUNCT
ajst-12694	164	42	it	it	PRON
ajst-12694	164	43	also	also	ADV
ajst-12694	164	44	has	have	VERB
ajst-12694	164	45	the	the	DET
ajst-12694	164	46	longest	long	ADJ
ajst-12694	164	47	inference	inference	NOUN
ajst-12694	164	48	time	time	NOUN
ajst-12694	164	49	.	.	PUNCT
ajst-12694	165	1	looking	look	VERB
ajst-12694	165	2	at	at	ADP
ajst-12694	165	3	pruning	prune	VERB
ajst-12694	165	4	and	and	CCONJ
ajst-12694	165	5	quantization	quantization	NOUN
ajst-12694	165	6	separately	separately	ADV
ajst-12694	165	7	,	,	PUNCT
ajst-12694	165	8	pruning	prune	VERB
ajst-12694	165	9	has	have	VERB
ajst-12694	165	10	a	a	DET
ajst-12694	165	11	minimal	minimal	ADJ
ajst-12694	165	12	impact	impact	NOUN
ajst-12694	165	13	on	on	ADP
ajst-12694	165	14	the	the	DET
ajst-12694	165	15	model	model	NOUN
ajst-12694	165	16	's	's	PART
ajst-12694	165	17	accuracy	accuracy	NOUN
ajst-12694	165	18	and	and	CCONJ
ajst-12694	165	19	a	a	DET
ajst-12694	165	20	relatively	relatively	ADV
ajst-12694	165	21	minor	minor	ADJ
ajst-12694	165	22	reduction	reduction	NOUN
ajst-12694	165	23	in	in	ADP
ajst-12694	165	24	inference	inference	NOUN
ajst-12694	165	25	time	time	NOUN
ajst-12694	165	26	.	.	PUNCT
ajst-12694	166	1	in	in	ADP
ajst-12694	166	2	contrast	contrast	NOUN
ajst-12694	166	3	,	,	PUNCT
ajst-12694	166	4	quantization	quantization	NOUN
ajst-12694	166	5	leads	lead	VERB
ajst-12694	166	6	to	to	ADP
ajst-12694	166	7	significant	significant	ADJ
ajst-12694	166	8	performance	performance	NOUN
ajst-12694	166	9	improvements	improvement	NOUN
ajst-12694	166	10	,	,	PUNCT
ajst-12694	166	11	reducing	reduce	VERB
ajst-12694	166	12	detection	detection	NOUN
ajst-12694	166	13	time	time	NOUN
ajst-12694	166	14	to	to	ADP
ajst-12694	166	15	23	23	NUM
ajst-12694	166	16	%	%	NOUN
ajst-12694	166	17	of	of	ADP
ajst-12694	166	18	the	the	DET
ajst-12694	166	19	baseline	baseline	PROPN
ajst-12694	166	20	model	model	NOUN
ajst-12694	166	21	.	.	PUNCT
ajst-12694	167	1	clearly	clearly	ADV
ajst-12694	167	2	,	,	PUNCT
ajst-12694	167	3	the	the	DET
ajst-12694	167	4	model	model	NOUN
ajst-12694	167	5	's	's	PART
ajst-12694	167	6	average	average	ADJ
ajst-12694	167	7	detection	detection	NOUN
ajst-12694	167	8	accuracy	accuracy	NOUN
ajst-12694	167	9	also	also	ADV
ajst-12694	167	10	drops	drop	VERB
ajst-12694	167	11	significantly	significantly	ADV
ajst-12694	167	12	.	.	PUNCT
ajst-12694	168	1	this	this	PRON
ajst-12694	168	2	is	be	AUX
ajst-12694	168	3	mainly	mainly	ADV
ajst-12694	168	4	due	due	ADJ
ajst-12694	168	5	to	to	ADP
ajst-12694	168	6	the	the	DET
ajst-12694	168	7	following	follow	VERB
ajst-12694	168	8	two	two	NUM
ajst-12694	168	9	reasons	reason	NOUN
ajst-12694	168	10	:	:	PUNCT
ajst-12694	168	11	the	the	DET
ajst-12694	168	12	best	good	ADJ
ajst-12694	168	13	flops	flop	NOUN
ajst-12694	168	14	constraint	constraint	NOUN
ajst-12694	168	15	selected	select	VERB
ajst-12694	168	16	for	for	ADP
ajst-12694	168	17	the	the	DET
ajst-12694	168	18	pruned	prune	VERB
ajst-12694	168	19	model	model	NOUN
ajst-12694	168	20	is	be	AUX
ajst-12694	168	21	0.8	0.8	NUM
ajst-12694	168	22	,	,	PUNCT
ajst-12694	168	23	indicating	indicate	VERB
ajst-12694	168	24	a	a	DET
ajst-12694	168	25	relatively	relatively	ADV
ajst-12694	168	26	minor	minor	ADJ
ajst-12694	168	27	pruning	pruning	NOUN
ajst-12694	168	28	of	of	ADP
ajst-12694	168	29	the	the	DET
ajst-12694	168	30	model	model	NOUN
ajst-12694	168	31	,	,	PUNCT
ajst-12694	168	32	roughly	roughly	ADV
ajst-12694	168	33	approximating	approximate	VERB
ajst-12694	168	34	that	that	SCONJ
ajst-12694	168	35	only	only	ADV
ajst-12694	168	36	20	20	NUM
ajst-12694	168	37	%	%	NOUN
ajst-12694	168	38	of	of	ADP
ajst-12694	168	39	the	the	DET
ajst-12694	168	40	model	model	NOUN
ajst-12694	168	41	's	's	PART
ajst-12694	168	42	parameters	parameter	NOUN
ajst-12694	168	43	were	be	AUX
ajst-12694	168	44	pruned	prune	VERB
ajst-12694	168	45	.	.	PUNCT
ajst-12694	169	1	consequently	consequently	ADV
ajst-12694	169	2	,	,	PUNCT
ajst-12694	169	3	there	there	PRON
ajst-12694	169	4	is	be	VERB
ajst-12694	169	5	no	no	DET
ajst-12694	169	6	significant	significant	ADJ
ajst-12694	169	7	change	change	NOUN
ajst-12694	169	8	in	in	ADP
ajst-12694	169	9	the	the	DET
ajst-12694	169	10	model	model	NOUN
ajst-12694	169	11	's	's	PART
ajst-12694	169	12	detection	detection	NOUN
ajst-12694	169	13	accuracy	accuracy	NOUN
ajst-12694	169	14	and	and	CCONJ
ajst-12694	169	15	inference	inference	NOUN
ajst-12694	169	16	time	time	NOUN
ajst-12694	169	17	.	.	PUNCT
ajst-12694	170	1	quantization	quantization	NOUN
ajst-12694	170	2	reduces	reduce	VERB
ajst-12694	170	3	the	the	DET
ajst-12694	170	4	computational	computational	ADJ
ajst-12694	170	5	load	load	NOUN
ajst-12694	170	6	of	of	ADP
ajst-12694	170	7	the	the	DET
ajst-12694	170	8	model	model	NOUN
ajst-12694	170	9	by	by	ADP
ajst-12694	170	10	quantizing	quantize	VERB
ajst-12694	170	11	all	all	DET
ajst-12694	170	12	parameters	parameter	NOUN
ajst-12694	170	13	to	to	ADP
ajst-12694	170	14	4	4	NUM
ajst-12694	170	15	bits	bit	NOUN
ajst-12694	170	16	,	,	PUNCT
ajst-12694	170	17	substantially	substantially	ADV
ajst-12694	170	18	increasing	increase	VERB
ajst-12694	170	19	the	the	DET
ajst-12694	170	20	model	model	NOUN
ajst-12694	170	21	's	's	PART
ajst-12694	170	22	inference	inference	NOUN
ajst-12694	170	23	speed	speed	NOUN
ajst-12694	170	24	.	.	PUNCT
ajst-12694	171	1	however	however	ADV
ajst-12694	171	2	,	,	PUNCT
ajst-12694	171	3	this	this	DET
ajst-12694	171	4	performance	performance	NOUN
ajst-12694	171	5	improvement	improvement	NOUN
ajst-12694	171	6	comes	come	VERB
ajst-12694	171	7	at	at	ADP
ajst-12694	171	8	the	the	DET
ajst-12694	171	9	cost	cost	NOUN
ajst-12694	171	10	of	of	ADP
ajst-12694	171	11	parameter	parameter	NOUN
ajst-12694	171	12	precision	precision	NOUN
ajst-12694	171	13	loss	loss	NOUN
ajst-12694	171	14	,	,	PUNCT
ajst-12694	171	15	resulting	result	VERB
ajst-12694	171	16	in	in	ADP
ajst-12694	171	17	a	a	DET
ajst-12694	171	18	significant	significant	ADJ
ajst-12694	171	19	drop	drop	NOUN
ajst-12694	171	20	in	in	ADP
ajst-12694	171	21	average	average	ADJ
ajst-12694	171	22	detection	detection	NOUN
ajst-12694	171	23	accuracy	accuracy	NOUN
ajst-12694	171	24	.	.	PUNCT
ajst-12694	172	1	when	when	SCONJ
ajst-12694	172	2	pruning	prune	VERB
ajst-12694	172	3	and	and	CCONJ
ajst-12694	172	4	quantization	quantization	NOUN
ajst-12694	172	5	methods	method	NOUN
ajst-12694	172	6	are	be	AUX
ajst-12694	172	7	combined	combine	VERB
ajst-12694	172	8	,	,	PUNCT
ajst-12694	172	9	the	the	DET
ajst-12694	172	10	features	feature	NOUN
ajst-12694	172	11	discarded	discard	VERB
ajst-12694	172	12	by	by	ADP
ajst-12694	172	13	pruning	prune	VERB
ajst-12694	172	14	can	can	AUX
ajst-12694	172	15	be	be	AUX
ajst-12694	172	16	complemented	complement	VERB
ajst-12694	172	17	with	with	ADP
ajst-12694	172	18	quantization	quantization	NOUN
ajst-12694	172	19	parameters	parameter	NOUN
ajst-12694	172	20	,	,	PUNCT
ajst-12694	172	21	while	while	SCONJ
ajst-12694	172	22	the	the	DET
ajst-12694	172	23	parameter	parameter	NOUN
ajst-12694	172	24	precision	precision	NOUN
ajst-12694	172	25	lost	lose	VERB
ajst-12694	172	26	due	due	ADJ
ajst-12694	172	27	to	to	ADP
ajst-12694	172	28	quantization	quantization	NOUN
ajst-12694	172	29	can	can	AUX
ajst-12694	172	30	be	be	AUX
ajst-12694	172	31	compensated	compensate	VERB
ajst-12694	172	32	for	for	ADP
ajst-12694	172	33	by	by	ADP
ajst-12694	172	34	pruned	pruned	ADJ
ajst-12694	172	35	features	feature	NOUN
ajst-12694	172	36	.	.	PUNCT
ajst-12694	173	1	as	as	ADP
ajst-12694	173	2	a	a	DET
ajst-12694	173	3	result	result	NOUN
ajst-12694	173	4	,	,	PUNCT
ajst-12694	173	5	the	the	DET
ajst-12694	173	6	average	average	ADJ
ajst-12694	173	7	detection	detection	NOUN
ajst-12694	173	8	accuracy	accuracy	NOUN
ajst-12694	173	9	of	of	ADP
ajst-12694	173	10	the	the	DET
ajst-12694	173	11	model	model	NOUN
ajst-12694	173	12	improves	improve	VERB
ajst-12694	173	13	by	by	ADP
ajst-12694	173	14	approximately	approximately	ADV
ajst-12694	173	15	4	4	NUM
ajst-12694	173	16	%	%	NOUN
ajst-12694	173	17	compared	compare	VERB
ajst-12694	173	18	to	to	ADP
ajst-12694	173	19	pruning	prune	VERB
ajst-12694	173	20	alone	alone	ADV
ajst-12694	173	21	.	.	PUNCT
ajst-12694	174	1	at	at	ADP
ajst-12694	174	2	this	this	DET
ajst-12694	174	3	point	point	NOUN
ajst-12694	174	4	,	,	PUNCT
ajst-12694	174	5	the	the	DET
ajst-12694	174	6	model	model	NOUN
ajst-12694	174	7	's	's	PART
ajst-12694	174	8	average	average	ADJ
ajst-12694	174	9	detection	detection	NOUN
ajst-12694	174	10	accuracy	accuracy	NOUN
ajst-12694	174	11	is	be	AUX
ajst-12694	174	12	close	close	ADJ
ajst-12694	174	13	to	to	ADP
ajst-12694	174	14	that	that	PRON
ajst-12694	174	15	of	of	ADP
ajst-12694	174	16	the	the	DET
ajst-12694	174	17	baseline	baseline	NOUN
ajst-12694	174	18	model	model	NOUN
ajst-12694	174	19	,	,	PUNCT
ajst-12694	174	20	while	while	SCONJ
ajst-12694	174	21	the	the	DET
ajst-12694	174	22	inference	inference	NOUN
ajst-12694	174	23	time	time	NOUN
ajst-12694	174	24	is	be	AUX
ajst-12694	174	25	significantly	significantly	ADV
ajst-12694	174	26	lower	low	ADJ
ajst-12694	174	27	than	than	ADP
ajst-12694	174	28	that	that	PRON
ajst-12694	174	29	of	of	ADP
ajst-12694	174	30	the	the	DET
ajst-12694	174	31	baseline	baseline	PROPN
ajst-12694	174	32	model	model	NOUN
ajst-12694	174	33	,	,	PUNCT
ajst-12694	174	34	indicating	indicate	VERB
ajst-12694	174	35	that	that	SCONJ
ajst-12694	174	36	this	this	DET
ajst-12694	174	37	method	method	NOUN
ajst-12694	174	38	is	be	AUX
ajst-12694	174	39	a	a	DET
ajst-12694	174	40	relatively	relatively	ADV
ajst-12694	174	41	effective	effective	ADJ
ajst-12694	174	42	model	model	NOUN
ajst-12694	174	43	lightweighting	lightweighte	VERB
ajst-12694	174	44	approach	approach	NOUN
ajst-12694	174	45	.	.	PUNCT
ajst-12694	175	1	4	4	X
ajst-12694	175	2	.	.	X
ajst-12694	175	3	summary	summary	VERB
ajst-12694	175	4	this	this	DET
ajst-12694	175	5	paper	paper	NOUN
ajst-12694	175	6	introduces	introduce	VERB
ajst-12694	175	7	an	an	DET
ajst-12694	175	8	industrial	industrial	ADJ
ajst-12694	175	9	anomaly	anomaly	NOUN
ajst-12694	175	10	detection	detection	NOUN
ajst-12694	175	11	algorithm	algorithm	NOUN
ajst-12694	175	12	based	base	VERB
ajst-12694	175	13	on	on	ADP
ajst-12694	175	14	a	a	DET
ajst-12694	175	15	data	data	NOUN
ajst-12694	175	16	transformer	transformer	NOUN
ajst-12694	175	17	.	.	PUNCT
ajst-12694	176	1	it	it	PRON
ajst-12694	176	2	enhances	enhance	VERB
ajst-12694	176	3	the	the	DET
ajst-12694	176	4	model	model	NOUN
ajst-12694	176	5	's	's	PART
ajst-12694	176	6	feature	feature	NOUN
ajst-12694	176	7	capturing	capture	VERB
ajst-12694	176	8	ability	ability	NOUN
ajst-12694	176	9	by	by	ADP
ajst-12694	176	10	incorporating	incorporate	VERB
ajst-12694	176	11	pre	pre	ADJ
ajst-12694	176	12	-	-	ADJ
ajst-12694	176	13	trained	train	VERB
ajst-12694	176	14	vision	vision	NOUN
ajst-12694	176	15	transformer	transformer	NOUN
ajst-12694	176	16	and	and	CCONJ
ajst-12694	176	17	point	point	NOUN
ajst-12694	176	18	transformer	transformer	NOUN
ajst-12694	176	19	models	model	NOUN
ajst-12694	176	20	as	as	ADP
ajst-12694	176	21	feature	feature	NOUN
ajst-12694	176	22	extractors	extractor	NOUN
ajst-12694	176	23	.	.	PUNCT
ajst-12694	177	1	feature	feature	NOUN
ajst-12694	177	2	diversity	diversity	NOUN
ajst-12694	177	3	is	be	AUX
ajst-12694	177	4	improved	improve	VERB
ajst-12694	177	5	through	through	ADP
ajst-12694	177	6	multi	multi	ADJ
ajst-12694	177	7	-	-	ADJ
ajst-12694	177	8	modal	modal	ADJ
ajst-12694	177	9	data	datum	NOUN
ajst-12694	177	10	fusion	fusion	NOUN
ajst-12694	177	11	.	.	PUNCT
ajst-12694	178	1	to	to	PART
ajst-12694	178	2	address	address	VERB
ajst-12694	178	3	issues	issue	NOUN
ajst-12694	178	4	like	like	ADP
ajst-12694	178	5	feature	feature	NOUN
ajst-12694	178	6	loss	loss	NOUN
ajst-12694	178	7	and	and	CCONJ
ajst-12694	178	8	gradient	gradient	NOUN
ajst-12694	178	9	vanishing	vanishing	NOUN
ajst-12694	178	10	in	in	ADP
ajst-12694	178	11	deep	deep	ADJ
ajst-12694	178	12	networks	network	NOUN
ajst-12694	178	13	,	,	PUNCT
ajst-12694	178	14	residual	residual	ADJ
ajst-12694	178	15	connections	connection	NOUN
ajst-12694	178	16	are	be	AUX
ajst-12694	178	17	introduced	introduce	VERB
ajst-12694	178	18	to	to	PART
ajst-12694	178	19	fuse	fuse	VERB
ajst-12694	178	20	input	input	NOUN
ajst-12694	178	21	features	feature	NOUN
ajst-12694	178	22	with	with	ADP
ajst-12694	178	23	generated	generate	VERB
ajst-12694	178	24	feature	feature	NOUN
ajst-12694	178	25	maps	map	NOUN
ajst-12694	178	26	.	.	PUNCT
ajst-12694	179	1	information	information	NOUN
ajst-12694	179	2	loss	loss	NOUN
ajst-12694	179	3	during	during	ADP
ajst-12694	179	4	the	the	DET
ajst-12694	179	5	feature	feature	NOUN
ajst-12694	179	6	fusion	fusion	NOUN
ajst-12694	179	7	process	process	NOUN
ajst-12694	179	8	is	be	AUX
ajst-12694	179	9	mitigated	mitigate	VERB
ajst-12694	179	10	by	by	ADP
ajst-12694	179	11	storing	store	VERB
ajst-12694	179	12	original	original	ADJ
ajst-12694	179	13	features	feature	NOUN
ajst-12694	179	14	in	in	ADP
ajst-12694	179	15	multiple	multiple	ADJ
ajst-12694	179	16	memory	memory	NOUN
ajst-12694	179	17	banks	bank	NOUN
ajst-12694	179	18	,	,	PUNCT
ajst-12694	179	19	which	which	PRON
ajst-12694	179	20	are	be	AUX
ajst-12694	179	21	then	then	ADV
ajst-12694	179	22	incorporated	incorporate	VERB
ajst-12694	179	23	into	into	ADP
ajst-12694	179	24	the	the	DET
ajst-12694	179	25	decision	decision	NOUN
ajst-12694	179	26	-	-	PUNCT
ajst-12694	179	27	making	make	VERB
ajst-12694	179	28	process	process	NOUN
ajst-12694	179	29	in	in	ADP
ajst-12694	179	30	the	the	DET
ajst-12694	179	31	final	final	ADJ
ajst-12694	179	32	decision	decision	NOUN
ajst-12694	179	33	layer	layer	NOUN
ajst-12694	179	34	,	,	PUNCT
ajst-12694	179	35	enhancing	enhance	VERB
ajst-12694	179	36	the	the	DET
ajst-12694	179	37	model	model	NOUN
ajst-12694	179	38	's	's	PART
ajst-12694	179	39	detection	detection	NOUN
ajst-12694	179	40	capability	capability	NOUN
ajst-12694	179	41	.	.	PUNCT
ajst-12694	180	1	the	the	DET
ajst-12694	180	2	proposed	propose	VERB
ajst-12694	180	3	model	model	NOUN
ajst-12694	180	4	achieves	achieve	VERB
ajst-12694	180	5	detection	detection	NOUN
ajst-12694	180	6	auc	auc	NOUN
ajst-12694	180	7	of	of	ADP
ajst-12694	180	8	95	95	NUM
ajst-12694	180	9	%	%	NOUN
ajst-12694	180	10	and	and	CCONJ
ajst-12694	180	11	segmentation	segmentation	NOUN
ajst-12694	180	12	auc	auc	NOUN
ajst-12694	180	13	of	of	ADP
ajst-12694	180	14	95	95	NUM
ajst-12694	180	15	%	%	NOUN
ajst-12694	180	16	on	on	ADP
ajst-12694	180	17	the	the	DET
ajst-12694	180	18	mvtec	mvtec	ADJ
ajst-12694	180	19	ad	ad	NOUN
ajst-12694	180	20	dataset	dataset	NOUN
ajst-12694	180	21	.	.	PUNCT
ajst-12694	181	1	the	the	DET
ajst-12694	181	2	paper	paper	NOUN
ajst-12694	181	3	also	also	ADV
ajst-12694	181	4	presents	present	VERB
ajst-12694	181	5	methods	method	NOUN
ajst-12694	181	6	for	for	ADP
ajst-12694	181	7	model	model	NOUN
ajst-12694	181	8	lightweighting	lightweighte	VERB
ajst-12694	181	9	based	base	VERB
ajst-12694	181	10	on	on	ADP
ajst-12694	181	11	post	post	ADJ
ajst-12694	181	12	-	-	ADJ
ajst-12694	181	13	training	training	ADJ
ajst-12694	181	14	quantization	quantization	NOUN
ajst-12694	181	15	and	and	CCONJ
ajst-12694	181	16	pruning	pruning	NOUN
ajst-12694	181	17	.	.	PUNCT
ajst-12694	182	1	these	these	DET
ajst-12694	182	2	methods	method	NOUN
ajst-12694	182	3	are	be	AUX
ajst-12694	182	4	combined	combine	VERB
ajst-12694	182	5	to	to	PART
ajst-12694	182	6	achieve	achieve	VERB
ajst-12694	182	7	model	model	NOUN
ajst-12694	182	8	compression	compression	NOUN
ajst-12694	182	9	.	.	PUNCT
ajst-12694	183	1	while	while	SCONJ
ajst-12694	183	2	the	the	DET
ajst-12694	183	3	proposed	propose	VERB
ajst-12694	183	4	model	model	NOUN
ajst-12694	183	5	surpasses	surpasse	NOUN
ajst-12694	183	6	baseline	baseline	VERB
ajst-12694	183	7	research	research	NOUN
ajst-12694	183	8	in	in	ADP
ajst-12694	183	9	terms	term	NOUN
ajst-12694	183	10	of	of	ADP
ajst-12694	183	11	detection	detection	NOUN
ajst-12694	183	12	performance	performance	NOUN
ajst-12694	183	13	,	,	PUNCT
ajst-12694	183	14	the	the	DET
ajst-12694	183	15	use	use	NOUN
ajst-12694	183	16	of	of	ADP
ajst-12694	183	17	pre	pre	ADJ
ajst-12694	183	18	-	-	ADJ
ajst-12694	183	19	trained	train	VERB
ajst-12694	183	20	transformer	transformer	NOUN
ajst-12694	183	21	models	model	NOUN
ajst-12694	183	22	and	and	CCONJ
ajst-12694	183	23	multi	multi	ADJ
ajst-12694	183	24	-	-	ADJ
ajst-12694	183	25	modal	modal	ADJ
ajst-12694	183	26	data	datum	NOUN
ajst-12694	183	27	has	have	AUX
ajst-12694	183	28	caused	cause	VERB
ajst-12694	183	29	a	a	DET
ajst-12694	183	30	decrease	decrease	NOUN
ajst-12694	183	31	in	in	ADP
ajst-12694	183	32	detection	detection	NOUN
ajst-12694	183	33	performance	performance	NOUN
ajst-12694	183	34	.	.	PUNCT
ajst-12694	184	1	therefore	therefore	ADV
ajst-12694	184	2	,	,	PUNCT
ajst-12694	184	3	model	model	NOUN
ajst-12694	184	4	compression	compression	NOUN
ajst-12694	184	5	is	be	AUX
ajst-12694	184	6	necessary	necessary	ADJ
ajst-12694	184	7	to	to	PART
ajst-12694	184	8	improve	improve	VERB
ajst-12694	184	9	speed	speed	NOUN
ajst-12694	184	10	.	.	PUNCT
ajst-12694	185	1	two	two	NUM
ajst-12694	185	2	model	model	NOUN
ajst-12694	185	3	lightweighting	lightweighting	ADJ
ajst-12694	185	4	methods	method	NOUN
ajst-12694	185	5	are	be	AUX
ajst-12694	185	6	proposed	propose	VERB
ajst-12694	185	7	.	.	PUNCT
ajst-12694	186	1	one	one	NUM
ajst-12694	186	2	is	be	AUX
ajst-12694	186	3	post	post	ADJ
ajst-12694	186	4	-	-	ADJ
ajst-12694	186	5	training	training	ADJ
ajst-12694	186	6	quantization	quantization	NOUN
ajst-12694	186	7	applied	apply	VERB
ajst-12694	186	8	to	to	ADP
ajst-12694	186	9	the	the	DET
ajst-12694	186	10	3d	3d	NUM
ajst-12694	186	11	point	point	NOUN
ajst-12694	186	12	cloud	cloud	NOUN
ajst-12694	186	13	feature	feature	NOUN
ajst-12694	186	14	extractor	extractor	NOUN
ajst-12694	186	15	,	,	PUNCT
ajst-12694	186	16	converting	convert	VERB
ajst-12694	186	17	floating	float	VERB
ajst-12694	186	18	-	-	PUNCT
ajst-12694	186	19	point	point	NOUN
ajst-12694	186	20	calculations	calculation	NOUN
ajst-12694	186	21	into	into	ADP
ajst-12694	186	22	low	low	ADJ
ajst-12694	186	23	-	-	PUNCT
ajst-12694	186	24	bit	bit	NOUN
ajst-12694	186	25	fixed	fix	VERB
ajst-12694	186	26	-	-	PUNCT
ajst-12694	186	27	point	point	NOUN
ajst-12694	186	28	calculations	calculation	NOUN
ajst-12694	186	29	.	.	PUNCT
ajst-12694	187	1	the	the	DET
ajst-12694	187	2	paper	paper	NOUN
ajst-12694	187	3	uses	use	VERB
ajst-12694	187	4	a	a	DET
ajst-12694	187	5	hierarchical	hierarchical	ADJ
ajst-12694	187	6	dynamic	dynamic	ADJ
ajst-12694	187	7	quantization	quantization	NOUN
ajst-12694	187	8	approach	approach	NOUN
ajst-12694	187	9	to	to	PART
ajst-12694	187	10	quantize	quantize	VERB
ajst-12694	187	11	both	both	DET
ajst-12694	187	12	feature	feature	NOUN
ajst-12694	187	13	maps	map	NOUN
ajst-12694	187	14	and	and	CCONJ
ajst-12694	187	15	weights	weight	NOUN
ajst-12694	187	16	into	into	ADP
ajst-12694	187	17	4	4	NUM
ajst-12694	187	18	bits	bit	NOUN
ajst-12694	187	19	.	.	PUNCT
ajst-12694	188	1	the	the	DET
ajst-12694	188	2	other	other	ADJ
ajst-12694	188	3	method	method	NOUN
ajst-12694	188	4	is	be	AUX
ajst-12694	188	5	model	model	NOUN
ajst-12694	188	6	pruning	pruning	NOUN
ajst-12694	188	7	applied	apply	VERB
ajst-12694	188	8	to	to	ADP
ajst-12694	188	9	the	the	DET
ajst-12694	188	10	rgb	rgb	PROPN
ajst-12694	188	11	feature	feature	NOUN
ajst-12694	188	12	extractor	extractor	NOUN
ajst-12694	188	13	,	,	PUNCT
ajst-12694	188	14	removing	remove	VERB
ajst-12694	188	15	redundant	redundant	ADJ
ajst-12694	188	16	16	16	NUM
ajst-12694	188	17	neuron	neuron	NOUN
ajst-12694	188	18	parameters	parameter	NOUN
ajst-12694	188	19	that	that	PRON
ajst-12694	188	20	are	be	AUX
ajst-12694	188	21	close	close	ADJ
ajst-12694	188	22	to	to	ADP
ajst-12694	188	23	zero	zero	NUM
ajst-12694	188	24	in	in	ADP
ajst-12694	188	25	the	the	DET
ajst-12694	188	26	model	model	NOUN
ajst-12694	188	27	.	.	PUNCT
ajst-12694	189	1	structural	structural	ADJ
ajst-12694	189	2	sparse	sparse	ADJ
ajst-12694	189	3	methods	method	NOUN
ajst-12694	189	4	are	be	AUX
ajst-12694	189	5	employed	employ	VERB
ajst-12694	189	6	for	for	ADP
ajst-12694	189	7	model	model	NOUN
ajst-12694	189	8	pruning	prune	VERB
ajst-12694	189	9	under	under	ADP
ajst-12694	189	10	specific	specific	ADJ
ajst-12694	189	11	constraints	constraint	NOUN
ajst-12694	189	12	,	,	PUNCT
ajst-12694	189	13	and	and	CCONJ
ajst-12694	189	14	an	an	DET
ajst-12694	189	15	automatic	automatic	ADJ
ajst-12694	189	16	search	search	NOUN
ajst-12694	189	17	mechanism	mechanism	NOUN
ajst-12694	189	18	is	be	AUX
ajst-12694	189	19	constructed	construct	VERB
ajst-12694	189	20	to	to	PART
ajst-12694	189	21	achieve	achieve	VERB
ajst-12694	189	22	mask	mask	NOUN
ajst-12694	189	23	auto	auto	NOUN
ajst-12694	189	24	-	-	PUNCT
ajst-12694	189	25	tuning	tuning	NOUN
ajst-12694	189	26	.	.	PUNCT
ajst-12694	190	1	experimental	experimental	ADJ
ajst-12694	190	2	results	result	NOUN
ajst-12694	190	3	indicate	indicate	VERB
ajst-12694	190	4	that	that	SCONJ
ajst-12694	190	5	after	after	ADP
ajst-12694	190	6	lightweighting	lightweighte	VERB
ajst-12694	190	7	,	,	PUNCT
ajst-12694	190	8	the	the	DET
ajst-12694	190	9	model	model	NOUN
ajst-12694	190	10	's	's	PART
ajst-12694	190	11	detection	detection	NOUN
ajst-12694	190	12	performance	performance	NOUN
ajst-12694	190	13	improves	improve	VERB
ajst-12694	190	14	by	by	ADP
ajst-12694	190	15	approximately	approximately	ADV
ajst-12694	190	16	28.52	28.52	NUM
ajst-12694	190	17	%	%	NOUN
ajst-12694	190	18	,	,	PUNCT
ajst-12694	190	19	with	with	ADP
ajst-12694	190	20	only	only	ADV
ajst-12694	190	21	a	a	DET
ajst-12694	190	22	1.08	1.08	NUM
ajst-12694	190	23	%	%	NOUN
ajst-12694	190	24	decrease	decrease	NOUN
ajst-12694	190	25	in	in	ADP
ajst-12694	190	26	detection	detection	NOUN
ajst-12694	190	27	performance	performance	NOUN
ajst-12694	190	28	.	.	PUNCT
ajst-12694	191	1	this	this	PRON
ajst-12694	191	2	makes	make	VERB
ajst-12694	191	3	it	it	PRON
ajst-12694	191	4	suitable	suitable	ADJ
ajst-12694	191	5	for	for	ADP
ajst-12694	191	6	deployment	deployment	NOUN
ajst-12694	191	7	in	in	ADP
ajst-12694	191	8	industrial	industrial	ADJ
ajst-12694	191	9	applications	application	NOUN
ajst-12694	191	10	on	on	ADP
ajst-12694	191	11	small	small	ADJ
ajst-12694	191	12	devices	device	NOUN
ajst-12694	191	13	like	like	ADP
ajst-12694	191	14	raspberry	raspberry	NOUN
ajst-12694	191	15	pi	pi	NOUN
ajst-12694	191	16	and	and	CCONJ
ajst-12694	191	17	similar	similar	ADJ
ajst-12694	191	18	platforms	platform	NOUN
ajst-12694	191	19	.	.	PUNCT
ajst-12694	192	1	references	reference	NOUN
ajst-12694	192	2	[	[	X
ajst-12694	192	3	1	1	X
ajst-12694	192	4	]	]	PUNCT
ajst-12694	192	5	the	the	DET
ajst-12694	192	6	overall	overall	ADJ
ajst-12694	192	7	analysis	analysis	NOUN
ajst-12694	192	8	report	report	NOUN
ajst-12694	192	9	on	on	ADP
ajst-12694	192	10	the	the	DET
ajst-12694	192	11	reasons	reason	NOUN
ajst-12694	192	12	for	for	ADP
ajst-12694	192	13	multiple	multiple	ADJ
ajst-12694	192	14	recalls	recall	NOUN
ajst-12694	192	15	by	by	ADP
ajst-12694	192	16	major	major	ADJ
ajst-12694	192	17	automotive	automotive	ADJ
ajst-12694	192	18	brands	brand	NOUN
ajst-12694	192	19	in	in	ADP
ajst-12694	192	20	recent	recent	ADJ
ajst-12694	192	21	times	time	NOUN
ajst-12694	192	22	by	by	ADP
ajst-12694	192	23	the	the	DET
ajst-12694	192	24	product	product	NOUN
ajst-12694	192	25	quality	quality	NOUN
ajst-12694	192	26	and	and	CCONJ
ajst-12694	192	27	safety	safety	NOUN
ajst-12694	192	28	research	research	NOUN
ajst-12694	192	29	center	center	NOUN
ajst-12694	192	30	of	of	ADP
ajst-12694	192	31	this	this	DET
ajst-12694	192	32	journal	journal	NOUN
ajst-12694	192	33	.	.	PUNCT
ajst-12694	193	1	[	[	X
ajst-12694	193	2	j	j	X
ajst-12694	193	3	]	]	X
ajst-12694	193	4	.	.	PUNCT
ajst-12694	194	1	china	china	PROPN
ajst-12694	194	2	brands	brand	NOUN
ajst-12694	194	3	and	and	CCONJ
ajst-12694	194	4	anti	anti	ADJ
ajst-12694	194	5	-	-	ADJ
ajst-12694	194	6	counterfeiting	counterfeiting	ADJ
ajst-12694	194	7	,	,	PUNCT
ajst-12694	194	8	2022	2022	NUM
ajst-12694	194	9	,	,	PUNCT
ajst-12694	194	10	06	06	NUM
ajst-12694	194	11	):	):	PUNCT
ajst-12694	194	12	76	76	NUM
ajst-12694	194	13	.	.	PUNCT
ajst-12694	195	1	[	[	X
ajst-12694	195	2	2	2	NUM
ajst-12694	195	3	]	]	X
ajst-12694	195	4	huang	huang	PROPN
ajst-12694	195	5	renbin	renbin	PROPN
ajst-12694	195	6	,	,	PUNCT
ajst-12694	195	7	zhan	zhan	PROPN
ajst-12694	195	8	daohua	daohua	PROPN
ajst-12694	195	9	,	,	PUNCT
ajst-12694	195	10	yang	yang	PROPN
ajst-12694	195	11	xiuding	xiuding	PROPN
ajst-12694	195	12	,	,	PUNCT
ajst-12694	195	13	et	et	PROPN
ajst-12694	195	14	al	al	PROPN
ajst-12694	195	15	.	.	PROPN
ajst-12694	195	16	defect	defect	ADJ
ajst-12694	195	17	detection	detection	NOUN
ajst-12694	195	18	algorithm	algorithm	NOUN
ajst-12694	195	19	for	for	ADP
ajst-12694	195	20	strip	strip	NOUN
ajst-12694	195	21	steel	steel	NOUN
ajst-12694	195	22	surface	surface	NOUN
ajst-12694	195	23	based	base	VERB
ajst-12694	195	24	on	on	ADP
ajst-12694	195	25	weighted	weight	VERB
ajst-12694	195	26	multiscale	multiscale	ADJ
ajst-12694	195	27	feature	feature	NOUN
ajst-12694	195	28	fusion	fusion	NOUN
ajst-12694	196	1	[	[	X
ajst-12694	196	2	j	j	X
ajst-12694	196	3	]	]	X
ajst-12694	196	4	.	.	PUNCT
ajst-12694	197	1	computer	computer	NOUN
ajst-12694	197	2	integrated	integrate	VERB
ajst-12694	197	3	manufacturing	manufacturing	NOUN
ajst-12694	197	4	systems	system	NOUN
ajst-12694	197	5	,	,	PUNCT
ajst-12694	197	6	2023	2023	NUM
ajst-12694	197	7	,	,	PUNCT
ajst-12694	197	8	1	1	NUM
ajst-12694	197	9	-	-	SYM
ajst-12694	197	10	17	17	NUM
ajst-12694	197	11	.	.	PUNCT
ajst-12694	198	1	[	[	X
ajst-12694	198	2	3	3	X
ajst-12694	198	3	]	]	X
ajst-12694	198	4	kirillov	kirillov	NOUN
ajst-12694	198	5	a	a	PRON
ajst-12694	198	6	,	,	PUNCT
ajst-12694	198	7	mintun	mintun	NOUN
ajst-12694	198	8	e	e	PROPN
ajst-12694	198	9	,	,	PUNCT
ajst-12694	198	10	ravi	ravi	NOUN
ajst-12694	198	11	n	n	CCONJ
ajst-12694	198	12	,	,	PUNCT
ajst-12694	198	13	et	et	PROPN
ajst-12694	198	14	al	al	PROPN
ajst-12694	198	15	.	.	PUNCT
ajst-12694	199	1	segment	segment	NOUN
ajst-12694	199	2	anything	anything	PRON
ajst-12694	200	1	[	[	X
ajst-12694	200	2	j	j	X
ajst-12694	200	3	/	/	SYM
ajst-12694	200	4	ol	ol	PROPN
ajst-12694	200	5	]	]	PUNCT
ajst-12694	200	6	2023	2023	NUM
ajst-12694	200	7	,	,	PUNCT
ajst-12694	200	8	arxiv:2304.02643[https://ui.adsabs.harvard.edu	arxiv:2304.02643[https://ui.adsabs.harvard.edu	PROPN
ajst-12694	200	9	/	/	SYM
ajst-12694	200	10	abs/2023arxi	abs/2023arxi	PROPN
ajst-12694	200	11	v230402643k	v230402643k	NOUN
ajst-12694	200	12	.	.	PUNCT
ajst-12694	201	1	[	[	X
ajst-12694	201	2	4	4	X
ajst-12694	201	3	]	]	X
ajst-12694	201	4	ren	ren	PROPN
ajst-12694	201	5	s	s	PROPN
ajst-12694	201	6	,	,	PUNCT
ajst-12694	201	7	he	he	PRON
ajst-12694	201	8	k	k	NOUN
ajst-12694	201	9	,	,	PUNCT
ajst-12694	201	10	girshick	girshick	ADJ
ajst-12694	201	11	r	r	NOUN
ajst-12694	201	12	,	,	PUNCT
ajst-12694	201	13	et	et	PROPN
ajst-12694	201	14	al	al	PROPN
ajst-12694	201	15	.	.	PUNCT
ajst-12694	202	1	faster	fast	ADJ
ajst-12694	202	2	r	r	NOUN
ajst-12694	202	3	-	-	PUNCT
ajst-12694	202	4	cnn	cnn	NOUN
ajst-12694	202	5	:	:	PUNCT
ajst-12694	202	6	towards	towards	ADP
ajst-12694	202	7	real	real	ADJ
ajst-12694	202	8	-	-	PUNCT
ajst-12694	202	9	time	time	NOUN
ajst-12694	202	10	object	object	NOUN
ajst-12694	202	11	detection	detection	NOUN
ajst-12694	202	12	with	with	ADP
ajst-12694	202	13	region	region	NOUN
ajst-12694	202	14	proposal	proposal	NOUN
ajst-12694	202	15	networks	network	NOUN
ajst-12694	203	1	[	[	X
ajst-12694	203	2	j	j	X
ajst-12694	203	3	]	]	X
ajst-12694	203	4	.	.	PUNCT
ajst-12694	204	1	ieee	ieee	NOUN
ajst-12694	204	2	transactions	transaction	NOUN
ajst-12694	204	3	on	on	ADP
ajst-12694	204	4	pattern	pattern	NOUN
ajst-12694	204	5	analysis	analysis	NOUN
ajst-12694	204	6	&	&	CCONJ
ajst-12694	204	7	machine	machine	NOUN
ajst-12694	204	8	intelligence	intelligence	NOUN
ajst-12694	204	9	,	,	PUNCT
ajst-12694	204	10	2017	2017	NUM
ajst-12694	204	11	,	,	PUNCT
ajst-12694	204	12	39(6	39(6	NUM
ajst-12694	204	13	):	):	PUNCT
ajst-12694	204	14	1137	1137	NUM
ajst-12694	204	15	-	-	SYM
ajst-12694	204	16	1149	1149	NUM
ajst-12694	204	17	.	.	PUNCT
ajst-12694	205	1	[	[	X
ajst-12694	205	2	5	5	X
ajst-12694	205	3	]	]	PUNCT
ajst-12694	205	4	yang	yang	PROPN
ajst-12694	205	5	h	h	PROPN
ajst-12694	205	6	,	,	PUNCT
ajst-12694	205	7	chen	chen	PROPN
ajst-12694	205	8	y	y	PROPN
ajst-12694	205	9	,	,	PUNCT
ajst-12694	205	10	song	song	PROPN
ajst-12694	205	11	k	k	PROPN
ajst-12694	205	12	,	,	PUNCT
ajst-12694	205	13	et	et	PROPN
ajst-12694	206	1	al	al	PROPN
ajst-12694	206	2	.	.	PROPN
ajst-12694	206	3	multiscale	multiscale	ADJ
ajst-12694	206	4	featureclustering	featureclustering	NOUN
ajst-12694	206	5	-	-	PUNCT
ajst-12694	206	6	based	base	VERB
ajst-12694	206	7	fully	fully	ADV
ajst-12694	206	8	convolutional	convolutional	ADJ
ajst-12694	206	9	autoencoder	autoencoder	NOUN
ajst-12694	206	10	for	for	ADP
ajst-12694	206	11	fast	fast	ADJ
ajst-12694	206	12	accurate	accurate	ADJ
ajst-12694	206	13	visual	visual	ADJ
ajst-12694	206	14	inspection	inspection	NOUN
ajst-12694	206	15	of	of	ADP
ajst-12694	206	16	texture	texture	ADJ
ajst-12694	206	17	surface	surface	NOUN
ajst-12694	206	18	defects	defect	NOUN
ajst-12694	207	1	[	[	X
ajst-12694	207	2	j	j	X
ajst-12694	207	3	]	]	X
ajst-12694	207	4	.	.	PUNCT
ajst-12694	208	1	ieee	ieee	NOUN
ajst-12694	208	2	transactions	transaction	NOUN
ajst-12694	208	3	on	on	ADP
ajst-12694	208	4	automation	automation	NOUN
ajst-12694	208	5	science	science	NOUN
ajst-12694	208	6	and	and	CCONJ
ajst-12694	208	7	engineering	engineering	NOUN
ajst-12694	208	8	,	,	PUNCT
ajst-12694	208	9	2019	2019	NUM
ajst-12694	208	10	,	,	PUNCT
ajst-12694	208	11	16(3	16(3	NUM
ajst-12694	208	12	):	):	PUNCT
ajst-12694	208	13	1450	1450	NUM
ajst-12694	208	14	-	-	SYM
ajst-12694	208	15	1467	1467	NUM
ajst-12694	208	16	.	.	PUNCT
ajst-12694	209	1	[	[	X
ajst-12694	209	2	6	6	NUM
ajst-12694	209	3	]	]	X
ajst-12694	209	4	ruff	ruff	PROPN
ajst-12694	209	5	l	l	PROPN
ajst-12694	209	6	,	,	PUNCT
ajst-12694	209	7	vandermeulen	vandermeulen	ADJ
ajst-12694	209	8	r	r	NOUN
ajst-12694	209	9	a	a	NOUN
ajst-12694	209	10	,	,	PUNCT
ajst-12694	209	11	g	g	PROPN
ajst-12694	209	12	rnitz	rnitz	NOUN
ajst-12694	209	13	n	n	X
ajst-12694	209	14	,	,	PUNCT
ajst-12694	209	15	et	et	PROPN
ajst-12694	209	16	al	al	PROPN
ajst-12694	209	17	.	.	PUNCT
ajst-12694	210	1	deep	deep	ADJ
ajst-12694	210	2	one	one	NUM
ajst-12694	210	3	-	-	PUNCT
ajst-12694	210	4	class	class	NOUN
ajst-12694	210	5	classification	classification	NOUN
ajst-12694	211	1	[	[	X
ajst-12694	211	2	c	c	X
ajst-12694	211	3	]	]	PUNCT
ajst-12694	211	4	.	.	PUNCT
ajst-12694	212	1	in	in	ADP
ajst-12694	212	2	:	:	PUNCT
ajst-12694	212	3	international	international	ADJ
ajst-12694	212	4	conference	conference	NOUN
ajst-12694	212	5	on	on	ADP
ajst-12694	212	6	machine	machine	NOUN
ajst-12694	212	7	learning	learning	NOUN
ajst-12694	212	8	.	.	PUNCT
ajst-12694	213	1	2018	2018	NUM
ajst-12694	213	2	.	.	PUNCT
ajst-12694	214	1	[	[	X
ajst-12694	214	2	7	7	NUM
ajst-12694	214	3	]	]	X
ajst-12694	214	4	wu	wu	PROPN
ajst-12694	214	5	p	p	PROPN
ajst-12694	214	6	,	,	PUNCT
ajst-12694	214	7	liu	liu	PROPN
ajst-12694	214	8	j	j	PROPN
ajst-12694	214	9	,	,	PUNCT
ajst-12694	214	10	shen	shen	PROPN
ajst-12694	214	11	f.	f.	PROPN
ajst-12694	215	1	a	a	DET
ajst-12694	215	2	deep	deep	ADJ
ajst-12694	215	3	one	one	NUM
ajst-12694	215	4	-	-	PUNCT
ajst-12694	215	5	class	class	NOUN
ajst-12694	215	6	neural	neural	ADJ
ajst-12694	215	7	network	network	NOUN
ajst-12694	215	8	for	for	ADP
ajst-12694	215	9	anomalous	anomalous	ADJ
ajst-12694	215	10	event	event	NOUN
ajst-12694	215	11	detection	detection	NOUN
ajst-12694	215	12	in	in	ADP
ajst-12694	215	13	complex	complex	ADJ
ajst-12694	215	14	scenes	scene	NOUN
ajst-12694	215	15	[	[	X
ajst-12694	215	16	j	j	X
ajst-12694	215	17	]	]	X
ajst-12694	215	18	.	.	PUNCT
ajst-12694	216	1	ieee	ieee	NOUN
ajst-12694	216	2	transactions	transaction	NOUN
ajst-12694	216	3	on	on	ADP
ajst-12694	216	4	neural	neural	ADJ
ajst-12694	216	5	networks	network	NOUN
ajst-12694	216	6	and	and	CCONJ
ajst-12694	216	7	learning	learning	NOUN
ajst-12694	216	8	systems	system	NOUN
ajst-12694	216	9	,	,	PUNCT
ajst-12694	216	10	2020	2020	NUM
ajst-12694	216	11	,	,	PUNCT
ajst-12694	216	12	31(7	31(7	NUM
ajst-12694	216	13	):	):	PUNCT
ajst-12694	216	14	2609	2609	NUM
ajst-12694	216	15	-	-	SYM
ajst-12694	216	16	2622	2622	NUM
ajst-12694	216	17	.	.	PUNCT
ajst-12694	217	1	[	[	X
ajst-12694	217	2	8	8	NUM
ajst-12694	217	3	]	]	X
ajst-12694	217	4	caron	caron	PROPN
ajst-12694	217	5	m	m	PROPN
ajst-12694	217	6	,	,	PUNCT
ajst-12694	217	7	touvron	touvron	PROPN
ajst-12694	217	8	h	h	NOUN
ajst-12694	217	9	,	,	PUNCT
ajst-12694	217	10	misra	misra	PROPN
ajst-12694	217	11	i	i	PRON
ajst-12694	217	12	,	,	PUNCT
ajst-12694	217	13	et	et	PROPN
ajst-12694	217	14	al	al	PROPN
ajst-12694	217	15	.	.	PUNCT
ajst-12694	218	1	emerging	emerge	VERB
ajst-12694	218	2	properties	property	NOUN
ajst-12694	218	3	in	in	ADP
ajst-12694	218	4	self	self	NOUN
ajst-12694	218	5	-	-	PUNCT
ajst-12694	218	6	supervised	supervise	VERB
ajst-12694	218	7	vision	vision	NOUN
ajst-12694	218	8	transformers	transformer	NOUN
ajst-12694	219	1	[	[	X
ajst-12694	219	2	j	j	X
ajst-12694	219	3	/	/	SYM
ajst-12694	219	4	ol	ol	PROPN
ajst-12694	219	5	]	]	X
ajst-12694	219	6	2021	2021	NUM
ajst-12694	219	7	,	,	PUNCT
ajst-12694	219	8	arxiv:2104.14294[https://ui.adsabs.harvard.edu	arxiv:2104.14294[https://ui.adsabs.harvard.edu	NOUN
ajst-12694	219	9	/	/	SYM
ajst-12694	219	10	abs/2021arxi	abs/2021arxi	PROPN
ajst-12694	219	11	v210414294c	v210414294c	X
ajst-12694	219	12	.	.	PUNCT
ajst-12694	220	1	[	[	X
ajst-12694	220	2	9	9	NUM
ajst-12694	220	3	]	]	PUNCT
ajst-12694	220	4	pang	pang	NOUN
ajst-12694	220	5	y	y	PROPN
ajst-12694	220	6	,	,	PUNCT
ajst-12694	220	7	wang	wang	PROPN
ajst-12694	220	8	w	w	PROPN
ajst-12694	220	9	,	,	PUNCT
ajst-12694	220	10	tay	tay	PROPN
ajst-12694	220	11	f	f	PROPN
ajst-12694	220	12	e	e	PROPN
ajst-12694	220	13	h	h	PROPN
ajst-12694	220	14	,	,	PUNCT
ajst-12694	220	15	et	et	PROPN
ajst-12694	220	16	al	al	PROPN
ajst-12694	220	17	.	.	PROPN
ajst-12694	220	18	masked	mask	VERB
ajst-12694	220	19	autoencoders	autoencoder	NOUN
ajst-12694	220	20	for	for	ADP
ajst-12694	220	21	point	point	NOUN
ajst-12694	220	22	cloud	cloud	NOUN
ajst-12694	220	23	self	self	NOUN
ajst-12694	220	24	-	-	PUNCT
ajst-12694	220	25	supervised	supervise	VERB
ajst-12694	220	26	learning	learning	NOUN
ajst-12694	221	1	[	[	X
ajst-12694	221	2	j	j	X
ajst-12694	221	3	/	/	SYM
ajst-12694	221	4	ol	ol	PROPN
ajst-12694	221	5	]	]	X
ajst-12694	221	6	2022	2022	NUM
ajst-12694	221	7	,	,	PUNCT
ajst-12694	221	8	arxiv:2203.06604[https://ui.adsabs.harvard.edu	arxiv:2203.06604[https://ui.adsabs.harvard.edu	X
ajst-12694	221	9	/	/	SYM
ajst-12694	221	10	abs/2022arxi	abs/2022arxi	PROPN
ajst-12694	221	11	v220306604p	v220306604p	X
ajst-12694	221	12	.	.	PUNCT
ajst-12694	222	1	[	[	X
ajst-12694	222	2	10	10	NUM
ajst-12694	222	3	]	]	X
ajst-12694	222	4	zhao	zhao	PROPN
ajst-12694	222	5	kailin	kailin	PROPN
ajst-12694	222	6	,	,	PUNCT
ajst-12694	222	7	jin	jin	PROPN
ajst-12694	222	8	xiaolong	xiaolong	PROPN
ajst-12694	222	9	,	,	PUNCT
ajst-12694	222	10	wang	wang	PROPN
ajst-12694	222	11	yuanzhuo	yuanzhuo	PROPN
ajst-12694	222	12	.	.	PUNCT
ajst-12694	223	1	"	"	PUNCT
ajst-12694	223	2	a	a	DET
ajst-12694	223	3	review	review	NOUN
ajst-12694	223	4	of	of	ADP
ajst-12694	223	5	few	few	ADJ
ajst-12694	223	6	-	-	PUNCT
ajst-12694	223	7	shot	shot	NOUN
ajst-12694	223	8	learning	learn	VERB
ajst-12694	223	9	research	research	NOUN
ajst-12694	223	10	"	"	PUNCT
ajst-12694	224	1	[	[	X
ajst-12694	224	2	j	j	X
ajst-12694	224	3	]	]	X
ajst-12694	224	4	.	.	PUNCT
ajst-12694	225	1	journal	journal	PROPN
ajst-12694	225	2	of	of	ADP
ajst-12694	225	3	software	software	NOUN
ajst-12694	225	4	,	,	PUNCT
ajst-12694	225	5	2021	2021	NUM
ajst-12694	225	6	,	,	PUNCT
ajst-12694	225	7	32(02	32(02	NUM
ajst-12694	225	8	):	):	PUNCT
ajst-12694	225	9	349	349	NUM
ajst-12694	225	10	-	-	SYM
ajst-12694	225	11	369	369	NUM
ajst-12694	225	12	.	.	PUNCT
ajst-12694	226	1	[	[	X
ajst-12694	226	2	11	11	NUM
ajst-12694	226	3	]	]	PUNCT
ajst-12694	226	4	qi	qi	PROPN
ajst-12694	226	5	c	c	PROPN
ajst-12694	226	6	r	r	PROPN
ajst-12694	226	7	,	,	PUNCT
ajst-12694	226	8	su	su	PROPN
ajst-12694	226	9	h	h	PROPN
ajst-12694	226	10	,	,	PUNCT
ajst-12694	226	11	mo	mo	PROPN
ajst-12694	226	12	k	k	PROPN
ajst-12694	226	13	,	,	PUNCT
ajst-12694	226	14	et	et	PROPN
ajst-12694	226	15	al	al	PROPN
ajst-12694	226	16	.	.	PUNCT
ajst-12694	226	17	pointnet	pointnet	NOUN
ajst-12694	226	18	:	:	PUNCT
ajst-12694	226	19	deep	deep	ADJ
ajst-12694	226	20	learning	learning	NOUN
ajst-12694	226	21	on	on	ADP
ajst-12694	226	22	point	point	NOUN
ajst-12694	226	23	sets	set	NOUN
ajst-12694	226	24	for	for	ADP
ajst-12694	226	25	3d	3d	NUM
ajst-12694	226	26	classification	classification	NOUN
ajst-12694	226	27	and	and	CCONJ
ajst-12694	226	28	segmentation	segmentation	NOUN
ajst-12694	227	1	[	[	X
ajst-12694	227	2	j	j	X
ajst-12694	227	3	]	]	X
ajst-12694	227	4	.	.	PUNCT
ajst-12694	228	1	ieee	ieee	PROPN
ajst-12694	228	2	,	,	PUNCT
ajst-12694	228	3	2017	2017	NUM
ajst-12694	228	4	.	.	PUNCT
ajst-12694	229	1	[	[	X
ajst-12694	229	2	12	12	NUM
ajst-12694	229	3	]	]	PUNCT
ajst-12694	229	4	qi	qi	PROPN
ajst-12694	229	5	c	c	PROPN
ajst-12694	229	6	r	r	PROPN
ajst-12694	229	7	,	,	PUNCT
ajst-12694	229	8	yi	yi	NOUN
ajst-12694	229	9	l	l	NOUN
ajst-12694	229	10	,	,	PUNCT
ajst-12694	229	11	su	su	PROPN
ajst-12694	229	12	h	h	PROPN
ajst-12694	229	13	,	,	PUNCT
ajst-12694	229	14	et	et	PROPN
ajst-12694	229	15	al	al	PROPN
ajst-12694	229	16	.	.	PROPN
ajst-12694	229	17	pointnet++	pointnet++	PROPN
ajst-12694	229	18	:	:	PUNCT
ajst-12694	229	19	deep	deep	ADJ
ajst-12694	229	20	hierarchical	hierarchical	ADJ
ajst-12694	229	21	feature	feature	NOUN
ajst-12694	229	22	learning	learn	VERB
ajst-12694	229	23	on	on	ADP
ajst-12694	229	24	point	point	NOUN
ajst-12694	229	25	sets	set	NOUN
ajst-12694	229	26	in	in	ADP
ajst-12694	229	27	a	a	DET
ajst-12694	229	28	metric	metric	ADJ
ajst-12694	229	29	space	space	NOUN
ajst-12694	230	1	[	[	X
ajst-12694	230	2	j	j	X
ajst-12694	230	3	]	]	X
ajst-12694	230	4	.	.	PROPN
ajst-12694	231	1	2017	2017	NUM
ajst-12694	231	2	.	.	PUNCT
ajst-12694	232	1	[	[	X
ajst-12694	232	2	13	13	NUM
ajst-12694	232	3	]	]	X
ajst-12694	232	4	bergmann	bergmann	PROPN
ajst-12694	232	5	p	p	PROPN
ajst-12694	232	6	,	,	PUNCT
ajst-12694	232	7	fauser	fauser	PROPN
ajst-12694	232	8	m	m	PROPN
ajst-12694	232	9	,	,	PUNCT
ajst-12694	232	10	sattlegger	sattlegger	NOUN
ajst-12694	232	11	d	d	NOUN
ajst-12694	232	12	,	,	PUNCT
ajst-12694	232	13	et	et	PROPN
ajst-12694	232	14	al	al	PROPN
ajst-12694	232	15	.	.	PUNCT
ajst-12694	233	1	uninformed	uninformed	ADJ
ajst-12694	233	2	students	student	NOUN
ajst-12694	233	3	:	:	PUNCT
ajst-12694	233	4	student	student	NOUN
ajst-12694	233	5	-	-	PUNCT
ajst-12694	233	6	teacher	teacher	NOUN
ajst-12694	233	7	anomaly	anomaly	NOUN
ajst-12694	233	8	detection	detection	NOUN
ajst-12694	233	9	with	with	ADP
ajst-12694	233	10	discriminative	discriminative	NOUN
ajst-12694	233	11	latent	latent	NOUN
ajst-12694	233	12	embeddings	embedding	NOUN
ajst-12694	233	13	[	[	X
ajst-12694	233	14	j	j	X
ajst-12694	233	15	]	]	X
ajst-12694	233	16	.	.	PUNCT
ajst-12694	234	1	ieee	ieee	PROPN
ajst-12694	234	2	,	,	PUNCT
ajst-12694	234	3	2020	2020	NUM
ajst-12694	235	1	[	[	X
ajst-12694	235	2	14	14	NUM
ajst-12694	235	3	]	]	X
ajst-12694	235	4	deng	deng	PROPN
ajst-12694	235	5	j	j	PROPN
ajst-12694	235	6	,	,	PUNCT
ajst-12694	235	7	dong	dong	PROPN
ajst-12694	235	8	w	w	PROPN
ajst-12694	235	9	,	,	PUNCT
ajst-12694	235	10	socher	socher	NOUN
ajst-12694	235	11	r	r	NOUN
ajst-12694	235	12	,	,	PUNCT
ajst-12694	235	13	et	et	PROPN
ajst-12694	235	14	al	al	PROPN
ajst-12694	235	15	.	.	PROPN
ajst-12694	235	16	imagenet	imagenet	PROPN
ajst-12694	235	17	:	:	PUNCT
ajst-12694	235	18	a	a	DET
ajst-12694	235	19	largescale	largescale	ADJ
ajst-12694	235	20	hierarchical	hierarchical	ADJ
ajst-12694	235	21	image	image	NOUN
ajst-12694	235	22	database	database	NOUN
ajst-12694	236	1	[	[	X
ajst-12694	236	2	j	j	X
ajst-12694	236	3	]	]	X
ajst-12694	236	4	.	.	PUNCT
ajst-12694	237	1	proc	proc	PROPN
ajst-12694	237	2	cvpr	cvpr	NOUN
ajst-12694	237	3	,	,	PUNCT
ajst-12694	237	4	2009	2009	NUM
ajst-12694	237	5	,	,	PUNCT
ajst-12694	237	6	2009	2009	NUM
ajst-12694	237	7	.	.	PUNCT
ajst-12694	238	1	[	[	X
ajst-12694	238	2	15	15	NUM
ajst-12694	238	3	]	]	X
ajst-12694	238	4	bergmann	bergmann	PROPN
ajst-12694	238	5	p	p	NOUN
ajst-12694	238	6	,	,	PUNCT
ajst-12694	238	7	jin	jin	NOUN
ajst-12694	238	8	x	x	NOUN
ajst-12694	238	9	,	,	PUNCT
ajst-12694	238	10	sattlegger	sattlegger	NOUN
ajst-12694	238	11	d	d	NOUN
ajst-12694	238	12	,	,	PUNCT
ajst-12694	238	13	et	et	PROPN
ajst-12694	238	14	al	al	PROPN
ajst-12694	238	15	.	.	PUNCT
ajst-12694	239	1	the	the	DET
ajst-12694	239	2	mvtec	mvtec	ADJ
ajst-12694	239	3	3d	3d	NOUN
ajst-12694	239	4	-	-	PUNCT
ajst-12694	239	5	ad	ad	NOUN
ajst-12694	239	6	dataset	dataset	NOUN
ajst-12694	239	7	for	for	ADP
ajst-12694	239	8	unsupervised	unsupervised	ADJ
ajst-12694	239	9	3d	3d	PROPN
ajst-12694	239	10	anomaly	anomaly	NOUN
ajst-12694	239	11	detection	detection	NOUN
ajst-12694	239	12	and	and	CCONJ
ajst-12694	239	13	localization	localization	NOUN
ajst-12694	239	14	[	[	X
ajst-12694	239	15	j	j	X
ajst-12694	239	16	]	]	X
ajst-12694	239	17	.	.	PUNCT
ajst-12694	240	1	arxiv	arxiv	PROPN
ajst-12694	240	2	e	e	PROPN
ajst-12694	240	3	-	-	NOUN
ajst-12694	240	4	prints	print	NOUN
ajst-12694	240	5	,	,	PUNCT
ajst-12694	240	6	2021	2021	NUM
ajst-12694	240	7	.	.	PUNCT
ajst-12694	241	1	[	[	X
ajst-12694	241	2	16	16	NUM
ajst-12694	241	3	]	]	X
ajst-12694	241	4	dalal	dalal	PROPN
ajst-12694	241	5	n.	n.	PROPN
ajst-12694	241	6	histograms	histogram	NOUN
ajst-12694	241	7	of	of	ADP
ajst-12694	241	8	oriented	orient	VERB
ajst-12694	241	9	gradients	gradient	NOUN
ajst-12694	241	10	for	for	ADP
ajst-12694	241	11	human	human	ADJ
ajst-12694	241	12	detection	detection	NOUN
ajst-12694	241	13	[	[	X
ajst-12694	241	14	j	j	X
ajst-12694	241	15	]	]	X
ajst-12694	241	16	.	.	PUNCT
ajst-12694	242	1	proc	proc	NOUN
ajst-12694	242	2	of	of	ADP
ajst-12694	242	3	cvpr	cvpr	NOUN
ajst-12694	242	4	,	,	PUNCT
ajst-12694	242	5	2005	2005	NUM
ajst-12694	242	6	[	[	X
ajst-12694	242	7	17	17	NUM
ajst-12694	242	8	]	]	X
ajst-12694	242	9	lowe	lowe	PROPN
ajst-12694	242	10	d	d	PROPN
ajst-12694	242	11	g.	g.	PROPN
ajst-12694	242	12	lowe	lowe	PROPN
ajst-12694	242	13	,	,	PUNCT
ajst-12694	242	14	d.g	d.g	PROPN
ajst-12694	242	15	.	.	PUNCT
ajst-12694	242	16	:	:	PUNCT
ajst-12694	242	17	distinctive	distinctive	ADJ
ajst-12694	242	18	image	image	NOUN
ajst-12694	242	19	features	feature	VERB
ajst-12694	242	20	from	from	ADP
ajst-12694	242	21	scale	scale	NOUN
ajst-12694	242	22	-	-	PUNCT
ajst-12694	242	23	invariant	invariant	ADJ
ajst-12694	242	24	key	key	ADJ
ajst-12694	242	25	-	-	PUNCT
ajst-12694	242	26	points	point	NOUN
ajst-12694	242	27	.	.	PUNCT
ajst-12694	243	1	int	int	NOUN
ajst-12694	243	2	.	.	PUNCT
ajst-12694	244	1	j.	j.	PROPN
ajst-12694	244	2	comput	comput	PROPN
ajst-12694	244	3	.	.	PUNCT
ajst-12694	245	1	vision	vision	NOUN
ajst-12694	245	2	60(2	60(2	NUM
ajst-12694	245	3	)	)	PUNCT
ajst-12694	245	4	,	,	PUNCT
ajst-12694	245	5	91110	91110	NUM
ajst-12694	246	1	[	[	X
ajst-12694	246	2	j	j	X
ajst-12694	246	3	]	]	X
ajst-12694	246	4	.	.	PUNCT
ajst-12694	247	1	international	international	ADJ
ajst-12694	247	2	journal	journal	PROPN
ajst-12694	247	3	of	of	ADP
ajst-12694	247	4	computer	computer	NOUN
ajst-12694	247	5	vision	vision	NOUN
ajst-12694	247	6	,	,	PUNCT
ajst-12694	247	7	2004	2004	NUM
ajst-12694	247	8	,	,	PUNCT
ajst-12694	247	9	60(2	60(2	NUM
ajst-12694	247	10	):	):	PUNCT
ajst-12694	247	11	[	[	X
ajst-12694	247	12	18	18	NUM
ajst-12694	247	13	]	]	X
ajst-12694	247	14	stefan	stefan	PROPN
ajst-12694	247	15	schaal	schaal	PROPN
ajst-12694	247	16	c	c	PROPN
ajst-12694	248	1	g	g	NOUN
ajst-12694	248	2	a.	a.	NOUN
ajst-12694	248	3	in	in	ADP
ajst-12694	248	4	:	:	PUNCT
ajst-12694	248	5	ieee	ieee	PROPN
ajst-12694	248	6	international	international	ADJ
ajst-12694	248	7	conference	conference	NOUN
ajst-12694	248	8	on	on	ADP
ajst-12694	248	9	robotics	robotic	NOUN
ajst-12694	248	10	and	and	CCONJ
ajst-12694	248	11	automation	automation	NOUN
ajst-12694	248	12	,	,	PUNCT
ajst-12694	248	13	3	3	NUM
ajst-12694	248	14	,	,	PUNCT
ajst-12694	248	15	pp.913	pp.913	PROPN
ajst-12694	248	16	-	-	PUNCT
ajst-12694	248	17	918	918	NUM
ajst-12694	248	18	,	,	PUNCT
ajst-12694	248	19	georgia	georgia	PROPN
ajst-12694	248	20	,	,	PUNCT
ajst-12694	248	21	atlanta	atlanta	PROPN
ajst-12694	248	22	.	.	PUNCT
ajst-12694	249	1	open	open	PROPN
ajst-12694	249	2	loop	loop	PROPN
ajst-12694	249	3	stable	stable	ADJ
ajst-12694	249	4	control	control	NOUN
ajst-12694	249	5	strategies	strategy	NOUN
ajst-12694	249	6	for	for	ADP
ajst-12694	249	7	robot	robot	NOUN
ajst-12694	249	8	juggling	juggling	NOUN
ajst-12694	249	9	[	[	X
ajst-12694	249	10	j	j	X
ajst-12694	249	11	]	]	X
ajst-12694	249	12	.	.	PUNCT
ajst-12694	250	1	2009	2009	NUM
ajst-12694	250	2	.	.	PUNCT
ajst-12694	251	1	[	[	X
ajst-12694	251	2	19	19	NUM
ajst-12694	251	3	]	]	PUNCT
ajst-12694	251	4	kwon	kwon	PROPN
ajst-12694	251	5	w	w	PROPN
ajst-12694	251	6	,	,	PUNCT
ajst-12694	251	7	kim	kim	PROPN
ajst-12694	251	8	s	s	PROPN
ajst-12694	251	9	,	,	PUNCT
ajst-12694	251	10	mahoney	mahoney	PROPN
ajst-12694	251	11	m	m	PROPN
ajst-12694	251	12	w	w	PROPN
ajst-12694	251	13	,	,	PUNCT
ajst-12694	251	14	et	et	PROPN
ajst-12694	251	15	al	al	PROPN
ajst-12694	251	16	.	.	PUNCT
ajst-12694	252	1	a	a	DET
ajst-12694	252	2	fast	fast	ADV
ajst-12694	252	3	posttraining	posttraine	VERB
ajst-12694	252	4	pruning	prune	VERB
ajst-12694	252	5	framework	framework	NOUN
ajst-12694	252	6	for	for	ADP
ajst-12694	252	7	transformers	transformer	NOUN
ajst-12694	252	8	[	[	X
ajst-12694	252	9	j	j	X
ajst-12694	252	10	]	]	X
ajst-12694	252	11	.	.	PUNCT
ajst-12694	253	1	2022	2022	NUM
ajst-12694	253	2	.	.	PUNCT
ajst-12694	254	1	[	[	X
ajst-12694	254	2	20	20	NUM
ajst-12694	254	3	]	]	PUNCT
ajst-12694	254	4	he	he	PRON
ajst-12694	254	5	y	y	PROPN
ajst-12694	254	6	,	,	PUNCT
ajst-12694	254	7	zhang	zhang	PROPN
ajst-12694	254	8	x	x	PROPN
ajst-12694	254	9	,	,	PUNCT
ajst-12694	254	10	sun	sun	PROPN
ajst-12694	254	11	j.	j.	PROPN
ajst-12694	254	12	channel	channel	PROPN
ajst-12694	254	13	pruning	prune	VERB
ajst-12694	254	14	for	for	ADP
ajst-12694	254	15	accelerating	accelerate	VERB
ajst-12694	254	16	very	very	ADV
ajst-12694	254	17	deep	deep	ADJ
ajst-12694	254	18	neural	neural	ADJ
ajst-12694	254	19	networks	network	NOUN
ajst-12694	254	20	[	[	X
ajst-12694	254	21	j	j	X
ajst-12694	254	22	]	]	X
ajst-12694	254	23	.	.	PROPN
ajst-12694	254	24	2017	2017	NUM
ajst-12694	254	25	.	.	PUNCT
ajst-12694	255	1	[	[	X
ajst-12694	255	2	21	21	NUM
ajst-12694	255	3	]	]	X
ajst-12694	255	4	lin	lin	PROPN
ajst-12694	255	5	shuyuan	shuyuan	PROPN
ajst-12694	255	6	,	,	PUNCT
ajst-12694	255	7	lai	lai	PROPN
ajst-12694	255	8	taotao	taotao	PROPN
ajst-12694	255	9	,	,	PUNCT
ajst-12694	255	10	yan	yan	PROPN
ajst-12694	255	11	yan	yan	PROPN
ajst-12694	255	12	,	,	PUNCT
ajst-12694	255	13	et	et	PROPN
ajst-12694	255	14	al	al	PROPN
ajst-12694	255	15	.	.	PUNCT
ajst-12694	256	1	"	"	PUNCT
ajst-12694	256	2	fitting	fitting	ADJ
ajst-12694	256	3	multistructure	multistructure	NOUN
ajst-12694	256	4	geometric	geometric	ADJ
ajst-12694	256	5	models	model	NOUN
ajst-12694	256	6	based	base	VERB
ajst-12694	256	7	on	on	ADP
ajst-12694	256	8	non	non	ADJ
ajst-12694	256	9	-	-	ADJ
ajst-12694	256	10	negative	negative	ADJ
ajst-12694	256	11	matrix	matrix	NOUN
ajst-12694	256	12	under	under	ADP
ajst-12694	256	13	-	-	PUNCT
ajst-12694	256	14	approximation	approximation	NOUN
ajst-12694	256	15	and	and	CCONJ
ajst-12694	256	16	pruning	prune	VERB
ajst-12694	256	17	techniques	technique	NOUN
ajst-12694	256	18	"	"	PUNCT
ajst-12694	257	1	[	[	X
ajst-12694	257	2	j	j	X
ajst-12694	257	3	]	]	X
ajst-12694	257	4	.	.	PUNCT
ajst-12694	258	1	chinese	chinese	ADJ
ajst-12694	258	2	journal	journal	PROPN
ajst-12694	258	3	of	of	ADP
ajst-12694	258	4	computers	computer	NOUN
ajst-12694	258	5	,	,	PUNCT
ajst-12694	258	6	2021	2021	NUM
ajst-12694	258	7	,	,	PUNCT
ajst-12694	258	8	44(07	44(07	NUM
ajst-12694	258	9	):	):	PUNCT
ajst-12694	258	10	1414	1414	NUM
ajst-12694	258	11	-	-	SYM
ajst-12694	258	12	1429	1429	NUM
ajst-12694	258	13	.	.	PUNCT