id	sid	tid	token	lemma	pos
bitcs-2759	1	1	47	47	NUM
bitcs-2759	1	2	|	|	ADV
bitcs-2759	1	3	vol.3	vol.3	PROPN
bitcs-2759	1	4	no.2	no.2	PROPN
bitcs-2759	1	5	,	,	PUNCT
bitcs-2759	1	6	july	july	PROPN
bitcs-2759	1	7	2022	2022	NUM
bitcs-2759	1	8	p	p	X
bitcs-2759	1	9	-	-	PUNCT
bitcs-2759	1	10	issn	issn	PROPN
bitcs-2759	1	11	:	:	PUNCT
bitcs-2759	1	12	2715	2715	NUM
bitcs-2759	1	13	-	-	SYM
bitcs-2759	1	14	2448	2448	NUM
bitcs-2759	1	15	|	|	NOUN
bitcs-2759	1	16	e	e	NOUN
bitcs-2759	1	17	-	-	NOUN
bitcs-2759	1	18	isssn	isssn	NOUN
bitcs-2759	1	19	:	:	PUNCT
bitcs-2759	1	20	2715	2715	NUM
bitcs-2759	1	21	-	-	SYM
bitcs-2759	1	22	7199	7199	NUM
bitcs-2759	1	23	vol.3	vol.3	NOUN
bitcs-2759	1	24	no.2	no.2	PROPN
bitcs-2759	1	25	july	july	PROPN
bitcs-2759	1	26	2022	2022	NUM
bitcs-2759	1	27	buana	buana	PROPN
bitcs-2759	1	28	information	information	PROPN
bitcs-2759	1	29	tchnology	tchnology	PROPN
bitcs-2759	1	30	and	and	CCONJ
bitcs-2759	1	31	computer	computer	NOUN
bitcs-2759	1	32	sciences	science	NOUN
bitcs-2759	1	33	(	(	PUNCT
bitcs-2759	1	34	bit	bit	NOUN
bitcs-2759	1	35	and	and	CCONJ
bitcs-2759	1	36	cs	cs	ADJ
bitcs-2759	1	37	)	)	PUNCT
bitcs-2759	1	38	automatic	automatic	ADJ
bitcs-2759	1	39	face	face	NOUN
bitcs-2759	1	40	mask	mask	NOUN
bitcs-2759	1	41	detection	detection	NOUN
bitcs-2759	1	42	on	on	ADP
bitcs-2759	1	43	gates	gate	NOUN
bitcs-2759	1	44	to	to	PART
bitcs-2759	1	45	combat	combat	VERB
bitcs-2759	1	46	the	the	DET
bitcs-2759	1	47	spread	spread	NOUN
bitcs-2759	1	48	of	of	ADP
bitcs-2759	1	49	covid-19	covid-19	PROPN
bitcs-2759	1	50	musa	musa	PROPN
bitcs-2759	1	51	dima	dima	PROPN
bitcs-2759	1	52	genemo	genemo	PROPN
bitcs-2759	1	53	study	study	VERB
bitcs-2759	1	54	program	program	NOUN
bitcs-2759	1	55	computing	computing	NOUN
bitcs-2759	1	56	(	(	PUNCT
bitcs-2759	1	57	software	software	NOUN
bitcs-2759	1	58	engineering	engineering	NOUN
bitcs-2759	1	59	)	)	PUNCT
bitcs-2759	1	60	gumushane	gumushane	PROPN
bitcs-2759	1	61	university	university	NOUN
bitcs-2759	1	62	musa.ju2002@gmail.com	musa.ju2002@gmail.com	PROPN
bitcs-2759	1	63	‹β›	‹β›	PROPN
bitcs-2759	1	64	abstract	abstract	PROPN
bitcs-2759	1	65	—	—	PUNCT
bitcs-2759	1	66	the	the	DET
bitcs-2759	1	67	covid-19	covid-19	PROPN
bitcs-2759	1	68	pandemic	pandemic	NOUN
bitcs-2759	1	69	has	have	AUX
bitcs-2759	1	70	spread	spread	VERB
bitcs-2759	1	71	across	across	ADP
bitcs-2759	1	72	the	the	DET
bitcs-2759	1	73	globe	globe	NOUN
bitcs-2759	1	74	,	,	PUNCT
bitcs-2759	1	75	hitting	hit	VERB
bitcs-2759	1	76	almost	almost	ADV
bitcs-2759	1	77	every	every	PRON
bitcs-2759	1	78	country	country	NOUN
bitcs-2759	1	79	.	.	PUNCT
bitcs-2759	2	1	to	to	PART
bitcs-2759	2	2	stop	stop	VERB
bitcs-2759	2	3	the	the	DET
bitcs-2759	2	4	spread	spread	NOUN
bitcs-2759	2	5	of	of	ADP
bitcs-2759	2	6	the	the	DET
bitcs-2759	2	7	covid-19	covid-19	PROPN
bitcs-2759	2	8	pandemic	pandemic	NOUN
bitcs-2759	2	9	,	,	PUNCT
bitcs-2759	2	10	this	this	DET
bitcs-2759	2	11	article	article	NOUN
bitcs-2759	2	12	introduces	introduce	VERB
bitcs-2759	2	13	face	face	NOUN
bitcs-2759	2	14	mask	mask	NOUN
bitcs-2759	2	15	detection	detection	NOUN
bitcs-2759	2	16	on	on	ADP
bitcs-2759	2	17	a	a	DET
bitcs-2759	2	18	gate	gate	NOUN
bitcs-2759	2	19	to	to	PART
bitcs-2759	2	20	assure	assure	VERB
bitcs-2759	2	21	the	the	DET
bitcs-2759	2	22	safety	safety	NOUN
bitcs-2759	2	23	of	of	ADP
bitcs-2759	2	24	instructors	instructor	NOUN
bitcs-2759	2	25	and	and	CCONJ
bitcs-2759	2	26	students	student	NOUN
bitcs-2759	2	27	in	in	ADP
bitcs-2759	2	28	both	both	DET
bitcs-2759	2	29	class	class	NOUN
bitcs-2759	2	30	and	and	CCONJ
bitcs-2759	2	31	public	public	ADJ
bitcs-2759	2	32	places	place	NOUN
bitcs-2759	2	33	.	.	PUNCT
bitcs-2759	3	1	this	this	DET
bitcs-2759	3	2	work	work	NOUN
bitcs-2759	3	3	aims	aim	VERB
bitcs-2759	3	4	to	to	PART
bitcs-2759	3	5	distinguish	distinguish	VERB
bitcs-2759	3	6	between	between	ADP
bitcs-2759	3	7	faces	face	NOUN
bitcs-2759	3	8	with	with	ADP
bitcs-2759	3	9	masks	mask	NOUN
bitcs-2759	3	10	and	and	CCONJ
bitcs-2759	3	11	without	without	ADP
bitcs-2759	3	12	masks	mask	NOUN
bitcs-2759	3	13	.	.	PUNCT
bitcs-2759	4	1	a	a	DET
bitcs-2759	4	2	deep	deep	ADJ
bitcs-2759	4	3	learning	learning	NOUN
bitcs-2759	4	4	algorithm	algorithm	NOUN
bitcs-2759	4	5	you	you	PRON
bitcs-2759	4	6	only	only	ADV
bitcs-2759	4	7	look	look	VERB
bitcs-2759	4	8	once	once	ADV
bitcs-2759	4	9	(	(	PUNCT
bitcs-2759	4	10	yolo	yolo	PROPN
bitcs-2759	4	11	)	)	PUNCT
bitcs-2759	4	12	v5	v5	PROPN
bitcs-2759	4	13	is	be	AUX
bitcs-2759	4	14	used	use	VERB
bitcs-2759	4	15	for	for	ADP
bitcs-2759	4	16	face	face	NOUN
bitcs-2759	4	17	mask	mask	NOUN
bitcs-2759	4	18	detection	detection	NOUN
bitcs-2759	4	19	and	and	CCONJ
bitcs-2759	4	20	classification	classification	NOUN
bitcs-2759	4	21	.	.	PUNCT
bitcs-2759	5	1	this	this	DET
bitcs-2759	5	2	algorithm	algorithm	NOUN
bitcs-2759	5	3	detects	detect	VERB
bitcs-2759	5	4	the	the	DET
bitcs-2759	5	5	faces	face	NOUN
bitcs-2759	5	6	with	with	ADP
bitcs-2759	5	7	and	and	CCONJ
bitcs-2759	5	8	without	without	ADP
bitcs-2759	5	9	masks	mask	NOUN
bitcs-2759	5	10	using	use	VERB
bitcs-2759	5	11	the	the	DET
bitcs-2759	5	12	video	video	NOUN
bitcs-2759	5	13	frames	frame	NOUN
bitcs-2759	5	14	from	from	ADP
bitcs-2759	5	15	the	the	DET
bitcs-2759	5	16	surveillance	surveillance	NOUN
bitcs-2759	5	17	camera	camera	NOUN
bitcs-2759	5	18	.	.	PUNCT
bitcs-2759	6	1	the	the	DET
bitcs-2759	6	2	model	model	NOUN
bitcs-2759	6	3	trained	train	VERB
bitcs-2759	6	4	on	on	ADP
bitcs-2759	6	5	over	over	ADP
bitcs-2759	6	6	800	800	NUM
bitcs-2759	6	7	video	video	NOUN
bitcs-2759	6	8	frames	frame	NOUN
bitcs-2759	6	9	.	.	PUNCT
bitcs-2759	7	1	the	the	DET
bitcs-2759	7	2	sequence	sequence	NOUN
bitcs-2759	7	3	of	of	ADP
bitcs-2759	7	4	a	a	DET
bitcs-2759	7	5	video	video	NOUN
bitcs-2759	7	6	frame	frame	NOUN
bitcs-2759	7	7	for	for	ADP
bitcs-2759	7	8	face	face	NOUN
bitcs-2759	7	9	mask	mask	NOUN
bitcs-2759	7	10	detection	detection	NOUN
bitcs-2759	7	11	is	be	AUX
bitcs-2759	7	12	fed	feed	VERB
bitcs-2759	7	13	to	to	ADP
bitcs-2759	7	14	the	the	DET
bitcs-2759	7	15	model	model	NOUN
bitcs-2759	7	16	for	for	ADP
bitcs-2759	7	17	feature	feature	NOUN
bitcs-2759	7	18	acquisition	acquisition	NOUN
bitcs-2759	7	19	.	.	PUNCT
bitcs-2759	8	1	then	then	ADV
bitcs-2759	8	2	the	the	DET
bitcs-2759	8	3	model	model	NOUN
bitcs-2759	8	4	classifies	classify	VERB
bitcs-2759	8	5	the	the	DET
bitcs-2759	8	6	frames	frame	NOUN
bitcs-2759	8	7	as	as	ADP
bitcs-2759	8	8	faces	face	NOUN
bitcs-2759	8	9	with	with	ADP
bitcs-2759	8	10	a	a	DET
bitcs-2759	8	11	mask	mask	NOUN
bitcs-2759	8	12	and	and	CCONJ
bitcs-2759	8	13	without	without	ADP
bitcs-2759	8	14	a	a	DET
bitcs-2759	8	15	mask	mask	NOUN
bitcs-2759	8	16	.	.	PUNCT
bitcs-2759	9	1	we	we	PRON
bitcs-2759	9	2	used	use	VERB
bitcs-2759	9	3	loss	loss	NOUN
bitcs-2759	9	4	functions	function	NOUN
bitcs-2759	9	5	like	like	AUX
bitcs-2759	9	6	generalize	generalize	VERB
bitcs-2759	9	7	intersection	intersection	NOUN
bitcs-2759	9	8	of	of	ADP
bitcs-2759	9	9	union	union	NOUN
bitcs-2759	9	10	for	for	ADP
bitcs-2759	9	11	abjectness	abjectness	NOUN
bitcs-2759	9	12	and	and	CCONJ
bitcs-2759	9	13	classification	classification	NOUN
bitcs-2759	9	14	accuracy	accuracy	NOUN
bitcs-2759	9	15	.	.	PUNCT
bitcs-2759	10	1	the	the	DET
bitcs-2759	10	2	datasets	dataset	NOUN
bitcs-2759	10	3	used	use	VERB
bitcs-2759	10	4	to	to	PART
bitcs-2759	10	5	train	train	VERB
bitcs-2759	10	6	the	the	DET
bitcs-2759	10	7	model	model	NOUN
bitcs-2759	10	8	are	be	AUX
bitcs-2759	10	9	divided	divide	VERB
bitcs-2759	10	10	as	as	ADP
bitcs-2759	10	11	80	80	NUM
bitcs-2759	10	12	%	%	NOUN
bitcs-2759	10	13	and	and	CCONJ
bitcs-2759	10	14	20	20	NUM
bitcs-2759	10	15	%	%	NOUN
bitcs-2759	10	16	for	for	ADP
bitcs-2759	10	17	training	training	NOUN
bitcs-2759	10	18	and	and	CCONJ
bitcs-2759	10	19	testing	testing	NOUN
bitcs-2759	10	20	,	,	PUNCT
bitcs-2759	10	21	respectively	respectively	ADV
bitcs-2759	10	22	.	.	PUNCT
bitcs-2759	11	1	the	the	DET
bitcs-2759	11	2	model	model	NOUN
bitcs-2759	11	3	has	have	AUX
bitcs-2759	11	4	provided	provide	VERB
bitcs-2759	11	5	a	a	DET
bitcs-2759	11	6	promising	promising	ADJ
bitcs-2759	11	7	result	result	NOUN
bitcs-2759	11	8	.	.	PUNCT
bitcs-2759	12	1	the	the	DET
bitcs-2759	12	2	result	result	NOUN
bitcs-2759	12	3	found	find	VERB
bitcs-2759	12	4	shows	show	VERB
bitcs-2759	12	5	accuracy	accuracy	NOUN
bitcs-2759	12	6	and	and	CCONJ
bitcs-2759	12	7	precision	precision	NOUN
bitcs-2759	12	8	of	of	ADP
bitcs-2759	12	9	95	95	NUM
bitcs-2759	12	10	%	%	NOUN
bitcs-2759	12	11	and	and	CCONJ
bitcs-2759	12	12	96	96	NUM
bitcs-2759	12	13	%	%	NOUN
bitcs-2759	12	14	,	,	PUNCT
bitcs-2759	12	15	respectively	respectively	ADV
bitcs-2759	12	16	.	.	PUNCT
bitcs-2759	13	1	results	result	NOUN
bitcs-2759	13	2	show	show	VERB
bitcs-2759	13	3	that	that	SCONJ
bitcs-2759	13	4	the	the	DET
bitcs-2759	13	5	model	model	NOUN
bitcs-2759	13	6	performance	performance	NOUN
bitcs-2759	13	7	is	be	AUX
bitcs-2759	13	8	a	a	DET
bitcs-2759	13	9	good	good	ADJ
bitcs-2759	13	10	classifier	classifier	NOUN
bitcs-2759	13	11	.	.	PUNCT
bitcs-2759	14	1	the	the	DET
bitcs-2759	14	2	successful	successful	ADJ
bitcs-2759	14	3	findings	finding	NOUN
bitcs-2759	14	4	indicate	indicate	VERB
bitcs-2759	14	5	the	the	DET
bitcs-2759	14	6	suggested	suggest	VERB
bitcs-2759	14	7	work	work	NOUN
bitcs-2759	14	8	's	's	PART
bitcs-2759	14	9	soundness	soundness	NOUN
bitcs-2759	14	10	.	.	PUNCT
bitcs-2759	15	1	keywords	keyword	NOUN
bitcs-2759	15	2	:	:	PUNCT
bitcs-2759	15	3	accuracy	accuracy	NOUN
bitcs-2759	15	4	,	,	PUNCT
bitcs-2759	15	5	computer	computer	NOUN
bitcs-2759	15	6	vision	vision	NOUN
bitcs-2759	15	7	,	,	PUNCT
bitcs-2759	15	8	classification	classification	NOUN
bitcs-2759	15	9	,	,	PUNCT
bitcs-2759	15	10	face	face	NOUN
bitcs-2759	15	11	recognition	recognition	NOUN
bitcs-2759	15	12	,	,	PUNCT
bitcs-2759	15	13	surveillance	surveillance	NOUN
bitcs-2759	15	14	1	1	NUM
bitcs-2759	15	15	.	.	PUNCT
bitcs-2759	15	16	introduction	introduction	NOUN
bitcs-2759	15	17	the	the	DET
bitcs-2759	15	18	covid-19	covid-19	PROPN
bitcs-2759	15	19	pandemic	pandemic	NOUN
bitcs-2759	15	20	has	have	AUX
bitcs-2759	15	21	spread	spread	VERB
bitcs-2759	15	22	across	across	ADP
bitcs-2759	15	23	the	the	DET
bitcs-2759	15	24	globe	globe	NOUN
bitcs-2759	15	25	,	,	PUNCT
bitcs-2759	15	26	hitting	hit	VERB
bitcs-2759	15	27	almost	almost	ADV
bitcs-2759	15	28	every	every	PRON
bitcs-2759	15	29	country	country	NOUN
bitcs-2759	15	30	.	.	PUNCT
bitcs-2759	16	1	the	the	DET
bitcs-2759	16	2	epidemic	epidemic	NOUN
bitcs-2759	16	3	was	be	AUX
bitcs-2759	16	4	initially	initially	ADV
bitcs-2759	16	5	discovered	discover	VERB
bitcs-2759	16	6	in	in	ADP
bitcs-2759	16	7	wuhan	wuhan	PROPN
bitcs-2759	16	8	,	,	PUNCT
bitcs-2759	16	9	china	china	PROPN
bitcs-2759	16	10	,	,	PUNCT
bitcs-2759	16	11	in	in	ADP
bitcs-2759	16	12	december	december	PROPN
bitcs-2759	16	13	2019	2019	NUM
bitcs-2759	16	14	.	.	PUNCT
bitcs-2759	17	1	the	the	DET
bitcs-2759	17	2	codi-19	codi-19	PROPN
bitcs-2759	17	3	epidemic	epidemic	NOUN
bitcs-2759	17	4	has	have	AUX
bitcs-2759	17	5	allowed	allow	VERB
bitcs-2759	17	6	us	we	PRON
bitcs-2759	17	7	to	to	PART
bitcs-2759	17	8	pave	pave	VERB
bitcs-2759	17	9	the	the	DET
bitcs-2759	17	10	road	road	NOUN
bitcs-2759	17	11	for	for	SCONJ
bitcs-2759	17	12	digital	digital	ADJ
bitcs-2759	17	13	learning	learning	NOUN
bitcs-2759	17	14	to	to	PART
bitcs-2759	17	15	be	be	AUX
bitcs-2759	17	16	introduced	introduce	VERB
bitcs-2759	17	17	.	.	PUNCT
bitcs-2759	18	1	to	to	PART
bitcs-2759	18	2	stop	stop	VERB
bitcs-2759	18	3	the	the	DET
bitcs-2759	18	4	spread	spread	NOUN
bitcs-2759	18	5	of	of	ADP
bitcs-2759	18	6	the	the	DET
bitcs-2759	18	7	covid-19	covid-19	PROPN
bitcs-2759	18	8	pandemic	pandemic	NOUN
bitcs-2759	18	9	,	,	PUNCT
bitcs-2759	18	10	this	this	DET
bitcs-2759	18	11	article	article	NOUN
bitcs-2759	18	12	introduces	introduce	VERB
bitcs-2759	18	13	face	face	NOUN
bitcs-2759	18	14	mask	mask	NOUN
bitcs-2759	18	15	detection	detection	NOUN
bitcs-2759	18	16	at	at	ADP
bitcs-2759	18	17	university	university	NOUN
bitcs-2759	18	18	gates	gate	NOUN
bitcs-2759	18	19	.	.	PUNCT
bitcs-2759	19	1	face	face	NOUN
bitcs-2759	19	2	recognition	recognition	NOUN
bitcs-2759	19	3	applications	application	NOUN
bitcs-2759	19	4	employ	employ	VERB
bitcs-2759	19	5	various	various	ADJ
bitcs-2759	19	6	deep	deep	ADJ
bitcs-2759	19	7	learning	learning	NOUN
bitcs-2759	19	8	algorithms	algorithm	NOUN
bitcs-2759	19	9	to	to	PART
bitcs-2759	19	10	look	look	VERB
bitcs-2759	19	11	for	for	ADP
bitcs-2759	19	12	human	human	ADJ
bitcs-2759	19	13	faces	face	NOUN
bitcs-2759	19	14	within	within	ADP
bitcs-2759	19	15	larger	large	ADJ
bitcs-2759	19	16	pictures	picture	NOUN
bitcs-2759	19	17	that	that	PRON
bitcs-2759	19	18	often	often	ADV
bitcs-2759	19	19	include	include	VERB
bitcs-2759	19	20	non	non	ADJ
bitcs-2759	19	21	-	-	ADJ
bitcs-2759	19	22	facial	facial	ADJ
bitcs-2759	19	23	items	item	NOUN
bitcs-2759	19	24	such	such	ADJ
bitcs-2759	19	25	as	as	ADP
bitcs-2759	19	26	landscapes	landscape	NOUN
bitcs-2759	19	27	,	,	PUNCT
bitcs-2759	19	28	buildings	building	NOUN
bitcs-2759	19	29	,	,	PUNCT
bitcs-2759	19	30	and	and	CCONJ
bitcs-2759	19	31	other	other	ADJ
bitcs-2759	19	32	human	human	ADJ
bitcs-2759	19	33	body	body	NOUN
bitcs-2759	19	34	parts	part	NOUN
bitcs-2759	19	35	such	such	ADJ
bitcs-2759	19	36	as	as	ADP
bitcs-2759	19	37	feet	foot	NOUN
bitcs-2759	19	38	or	or	CCONJ
bitcs-2759	19	39	hands	hand	NOUN
bitcs-2759	19	40	.	.	PUNCT
bitcs-2759	20	1	the	the	DET
bitcs-2759	20	2	search	search	NOUN
bitcs-2759	20	3	for	for	ADP
bitcs-2759	20	4	human	human	ADJ
bitcs-2759	20	5	eyes	eye	NOUN
bitcs-2759	20	6	,	,	PUNCT
bitcs-2759	20	7	which	which	PRON
bitcs-2759	20	8	is	be	AUX
bitcs-2759	20	9	one	one	NUM
bitcs-2759	20	10	of	of	ADP
bitcs-2759	20	11	the	the	DET
bitcs-2759	20	12	simplest	simple	ADJ
bitcs-2759	20	13	characteristics	characteristic	NOUN
bitcs-2759	20	14	to	to	PART
bitcs-2759	20	15	identify	identify	VERB
bitcs-2759	20	16	,	,	PUNCT
bitcs-2759	20	17	is	be	AUX
bitcs-2759	20	18	often	often	ADV
bitcs-2759	20	19	where	where	SCONJ
bitcs-2759	20	20	face	face	VERB
bitcs-2759	20	21	identification	identification	NOUN
bitcs-2759	20	22	algorithms	algorithm	NOUN
bitcs-2759	20	23	get	get	AUX
bitcs-2759	20	24	started	start	VERB
bitcs-2759	20	25	.	.	PUNCT
bitcs-2759	21	1	after	after	ADP
bitcs-2759	21	2	that	that	PRON
bitcs-2759	21	3	,	,	PUNCT
bitcs-2759	21	4	the	the	DET
bitcs-2759	21	5	algorithm	algorithm	NOUN
bitcs-2759	21	6	could	could	AUX
bitcs-2759	21	7	make	make	VERB
bitcs-2759	21	8	an	an	DET
bitcs-2759	21	9	effort	effort	NOUN
bitcs-2759	21	10	to	to	PART
bitcs-2759	21	11	recognize	recognize	VERB
bitcs-2759	21	12	the	the	DET
bitcs-2759	21	13	iris	iris	NOUN
bitcs-2759	21	14	,	,	PUNCT
bitcs-2759	21	15	the	the	DET
bitcs-2759	21	16	mouth	mouth	NOUN
bitcs-2759	21	17	,	,	PUNCT
bitcs-2759	21	18	the	the	DET
bitcs-2759	21	19	nose	nose	NOUN
bitcs-2759	21	20	,	,	PUNCT
bitcs-2759	21	21	the	the	DET
bitcs-2759	21	22	nostrils	nostril	NOUN
bitcs-2759	21	23	,	,	PUNCT
bitcs-2759	21	24	and	and	CCONJ
bitcs-2759	21	25	the	the	DET
bitcs-2759	21	26	eyebrows	eyebrow	NOUN
bitcs-2759	21	27	.	.	PUNCT
bitcs-2759	22	1	after	after	SCONJ
bitcs-2759	22	2	the	the	DET
bitcs-2759	22	3	algorithm	algorithm	NOUN
bitcs-2759	22	4	has	have	AUX
bitcs-2759	22	5	concluded	conclude	VERB
bitcs-2759	22	6	that	that	SCONJ
bitcs-2759	22	7	it	it	PRON
bitcs-2759	22	8	has	have	AUX
bitcs-2759	22	9	located	locate	VERB
bitcs-2759	22	10	a	a	DET
bitcs-2759	22	11	facial	facial	ADJ
bitcs-2759	22	12	area	area	NOUN
bitcs-2759	22	13	,	,	PUNCT
bitcs-2759	22	14	it	it	PRON
bitcs-2759	22	15	next	next	ADJ
bitcs-2759	22	16	conducts	conduct	VERB
bitcs-2759	22	17	further	further	ADJ
bitcs-2759	22	18	tests	test	NOUN
bitcs-2759	22	19	to	to	PART
bitcs-2759	22	20	ensure	ensure	VERB
bitcs-2759	22	21	that	that	SCONJ
bitcs-2759	22	22	it	it	PRON
bitcs-2759	22	23	has	have	AUX
bitcs-2759	22	24	identified	identify	VERB
bitcs-2759	22	25	a	a	DET
bitcs-2759	22	26	face	face	NOUN
bitcs-2759	22	27	in	in	ADP
bitcs-2759	22	28	the	the	DET
bitcs-2759	22	29	image	image	NOUN
bitcs-2759	22	30	[	[	X
bitcs-2759	22	31	1	1	NUM
bitcs-2759	22	32	]	]	PUNCT
bitcs-2759	22	33	.	.	PUNCT
bitcs-2759	23	1	the	the	DET
bitcs-2759	23	2	algorithms	algorithm	NOUN
bitcs-2759	23	3	need	need	VERB
bitcs-2759	23	4	to	to	PART
bitcs-2759	23	5	be	be	AUX
bitcs-2759	23	6	trained	train	VERB
bitcs-2759	23	7	on	on	ADP
bitcs-2759	23	8	big	big	ADJ
bitcs-2759	23	9	data	datum	NOUN
bitcs-2759	23	10	sets	set	NOUN
bitcs-2759	23	11	that	that	PRON
bitcs-2759	23	12	include	include	VERB
bitcs-2759	23	13	hundreds	hundred	NOUN
bitcs-2759	23	14	of	of	ADP
bitcs-2759	23	15	thousands	thousand	NOUN
bitcs-2759	23	16	of	of	ADP
bitcs-2759	23	17	examples	example	NOUN
bitcs-2759	23	18	of	of	ADP
bitcs-2759	23	19	both	both	DET
bitcs-2759	23	20	face	face	NOUN
bitcs-2759	23	21	masks	mask	NOUN
bitcs-2759	23	22	and	and	CCONJ
bitcs-2759	23	23	without	without	ADP
bitcs-2759	23	24	face	face	NOUN
bitcs-2759	23	25	mask	mask	NOUN
bitcs-2759	23	26	pictures	picture	NOUN
bitcs-2759	23	27	.	.	PUNCT
bitcs-2759	24	1	this	this	PRON
bitcs-2759	24	2	will	will	AUX
bitcs-2759	24	3	assist	assist	VERB
bitcs-2759	24	4	guarantee	guarantee	VERB
bitcs-2759	24	5	that	that	SCONJ
bitcs-2759	24	6	the	the	DET
bitcs-2759	24	7	results	result	NOUN
bitcs-2759	24	8	are	be	AUX
bitcs-2759	24	9	accurate	accurate	ADJ
bitcs-2759	24	10	.	.	PUNCT
bitcs-2759	25	1	the	the	DET
bitcs-2759	25	2	training	training	NOUN
bitcs-2759	25	3	helps	help	VERB
bitcs-2759	25	4	the	the	DET
bitcs-2759	25	5	algorithms	algorithm	NOUN
bitcs-2759	25	6	get	get	VERB
bitcs-2759	25	7	better	well	ADJ
bitcs-2759	25	8	at	at	ADP
bitcs-2759	25	9	determining	determine	VERB
bitcs-2759	25	10	whether	whether	SCONJ
bitcs-2759	25	11	a	a	DET
bitcs-2759	25	12	picture	picture	NOUN
bitcs-2759	25	13	contains	contain	VERB
bitcs-2759	25	14	a	a	DET
bitcs-2759	25	15	face	face	NOUN
bitcs-2759	25	16	mask	mask	NOUN
bitcs-2759	25	17	.	.	PUNCT
bitcs-2759	26	1	where	where	SCONJ
bitcs-2759	26	2	those	those	DET
bitcs-2759	26	3	faces	face	NOUN
bitcs-2759	26	4	are	be	AUX
bitcs-2759	26	5	located	locate	VERB
bitcs-2759	26	6	within	within	ADP
bitcs-2759	26	7	the	the	DET
bitcs-2759	26	8	image	image	NOUN
bitcs-2759	26	9	.	.	PUNCT
bitcs-2759	27	1	knowledge	knowledge	NOUN
bitcs-2759	27	2	based	base	VERB
bitcs-2759	27	3	,	,	PUNCT
bitcs-2759	27	4	feature	feature	NOUN
bitcs-2759	27	5	-	-	PUNCT
bitcs-2759	27	6	based	base	VERB
bitcs-2759	27	7	,	,	PUNCT
bitcs-2759	27	8	template	template	NOUN
bitcs-2759	27	9	-	-	PUNCT
bitcs-2759	27	10	matching	matching	NOUN
bitcs-2759	27	11	or	or	CCONJ
bitcs-2759	27	12	appearance	appearance	NOUN
bitcs-2759	27	13	based	base	VERB
bitcs-2759	27	14	approaches	approach	NOUN
bitcs-2759	27	15	are	be	AUX
bitcs-2759	27	16	some	some	PRON
bitcs-2759	27	17	of	of	ADP
bitcs-2759	27	18	the	the	DET
bitcs-2759	27	19	strategies	strategy	NOUN
bitcs-2759	27	20	that	that	PRON
bitcs-2759	27	21	may	may	AUX
bitcs-2759	27	22	be	be	AUX
bitcs-2759	27	23	used	use	VERB
bitcs-2759	27	24	in	in	ADP
bitcs-2759	27	25	face	face	NOUN
bitcs-2759	27	26	identification	identification	NOUN
bitcs-2759	27	27	[	[	X
bitcs-2759	27	28	2	2	NUM
bitcs-2759	27	29	]	]	PUNCT
bitcs-2759	27	30	.	.	PUNCT
bitcs-2759	28	1	the	the	DET
bitcs-2759	28	2	deep	deep	ADJ
bitcs-2759	28	3	learning	learning	NOUN
bitcs-2759	28	4	algorithm	algorithm	PROPN
bitcs-2759	28	5	yolo	yolo	ADJ
bitcs-2759	28	6	is	be	AUX
bitcs-2759	28	7	introduced	introduce	VERB
bitcs-2759	28	8	that	that	SCONJ
bitcs-2759	28	9	detects	detect	VERB
bitcs-2759	28	10	the	the	DET
bitcs-2759	28	11	objects	object	NOUN
bitcs-2759	28	12	efficiently	efficiently	ADV
bitcs-2759	28	13	.	.	PUNCT
bitcs-2759	29	1	the	the	DET
bitcs-2759	29	2	authors	author	NOUN
bitcs-2759	29	3	do	do	VERB
bitcs-2759	29	4	research	research	NOUN
bitcs-2759	29	5	and	and	CCONJ
bitcs-2759	29	6	improve	improve	VERB
bitcs-2759	29	7	its	its	PRON
bitcs-2759	29	8	version	version	NOUN
bitcs-2759	29	9	to	to	PART
bitcs-2759	29	10	v5	v5	VERB
bitcs-2759	29	11	as	as	SCONJ
bitcs-2759	29	12	shown	show	VERB
bitcs-2759	29	13	in	in	ADP
bitcs-2759	29	14	figure	figure	NOUN
bitcs-2759	29	15	1	1	NUM
bitcs-2759	29	16	.	.	PUNCT
bitcs-2759	30	1	each	each	DET
bitcs-2759	30	2	one	one	NOUN
bitcs-2759	30	3	has	have	VERB
bitcs-2759	30	4	positive	positive	ADJ
bitcs-2759	30	5	and	and	CCONJ
bitcs-2759	30	6	negative	negative	ADJ
bitcs-2759	30	7	aspects	aspect	NOUN
bitcs-2759	30	8	to	to	PART
bitcs-2759	30	9	consider	consider	VERB
bitcs-2759	30	10	.	.	PUNCT
bitcs-2759	31	1	the	the	DET
bitcs-2759	31	2	problem	problem	NOUN
bitcs-2759	31	3	occurs	occur	VERB
bitcs-2759	31	4	that	that	SCONJ
bitcs-2759	31	5	we	we	PRON
bitcs-2759	31	6	need	need	VERB
bitcs-2759	31	7	an	an	DET
bitcs-2759	31	8	algorithm	algorithm	NOUN
bitcs-2759	31	9	that	that	PRON
bitcs-2759	31	10	accurately	accurately	ADV
bitcs-2759	31	11	recognized	recognize	VERB
bitcs-2759	31	12	the	the	DET
bitcs-2759	31	13	faces	face	NOUN
bitcs-2759	31	14	.	.	PUNCT
bitcs-2759	32	1	in	in	ADP
bitcs-2759	32	2	this	this	DET
bitcs-2759	32	3	paper	paper	NOUN
bitcs-2759	32	4	,	,	PUNCT
bitcs-2759	32	5	we	we	PRON
bitcs-2759	32	6	have	have	AUX
bitcs-2759	32	7	highlighted	highlight	VERB
bitcs-2759	32	8	the	the	DET
bitcs-2759	32	9	issue	issue	NOUN
bitcs-2759	32	10	that	that	SCONJ
bitcs-2759	32	11	the	the	DET
bitcs-2759	32	12	algorithm	algorithm	NOUN
bitcs-2759	32	13	accurately	accurately	ADV
bitcs-2759	32	14	recognized	recognize	VERB
bitcs-2759	32	15	the	the	DET
bitcs-2759	32	16	faces	face	NOUN
bitcs-2759	32	17	with	with	ADP
bitcs-2759	32	18	and	and	CCONJ
bitcs-2759	32	19	without	without	ADP
bitcs-2759	32	20	masks	mask	NOUN
bitcs-2759	32	21	.	.	PUNCT
bitcs-2759	33	1	to	to	PART
bitcs-2759	33	2	build	build	VERB
bitcs-2759	33	3	a	a	DET
bitcs-2759	33	4	model	model	NOUN
bitcs-2759	33	5	that	that	SCONJ
bitcs-2759	33	6	detects	detect	NOUN
bitcs-2759	33	7	face	face	VERB
bitcs-2759	33	8	masks	mask	NOUN
bitcs-2759	33	9	we	we	PRON
bitcs-2759	33	10	used	use	VERB
bitcs-2759	33	11	a	a	DET
bitcs-2759	33	12	new	new	ADJ
bitcs-2759	33	13	deep	deep	ADJ
bitcs-2759	33	14	learning	learning	NOUN
bitcs-2759	33	15	algorithm	algorithm	PROPN
bitcs-2759	33	16	yolo	yolo	PROPN
bitcs-2759	33	17	v5	v5	PROPN
bitcs-2759	33	18	.	.	PUNCT
bitcs-2759	34	1	this	this	DET
bitcs-2759	34	2	algorithm	algorithm	NOUN
bitcs-2759	34	3	efficiently	efficiently	ADV
bitcs-2759	34	4	resolves	resolve	VERB
bitcs-2759	34	5	the	the	DET
bitcs-2759	34	6	problem	problem	NOUN
bitcs-2759	34	7	and	and	CCONJ
bitcs-2759	34	8	accurately	accurately	ADV
bitcs-2759	34	9	recognizes	recognize	VERB
bitcs-2759	34	10	the	the	DET
bitcs-2759	34	11	faces	face	NOUN
bitcs-2759	34	12	.	.	PUNCT
bitcs-2759	35	1	figure	figure	NOUN
bitcs-2759	35	2	1	1	NUM
bitcs-2759	35	3	:	:	PUNCT
bitcs-2759	35	4	yolo	yolo	ADJ
bitcs-2759	35	5	detection	detection	NOUN
bitcs-2759	35	6	process	process	NOUN
bitcs-2759	36	1	[	[	X
bitcs-2759	36	2	4	4	X
bitcs-2759	36	3	]	]	X
bitcs-2759	36	4	the	the	DET
bitcs-2759	36	5	following	follow	VERB
bitcs-2759	36	6	is	be	AUX
bitcs-2759	36	7	the	the	DET
bitcs-2759	36	8	order	order	NOUN
bitcs-2759	36	9	in	in	ADP
bitcs-2759	36	10	which	which	PRON
bitcs-2759	36	11	the	the	DET
bitcs-2759	36	12	manuscript	manuscript	NOUN
bitcs-2759	36	13	is	be	AUX
bitcs-2759	36	14	written	write	VERB
bitcs-2759	36	15	.	.	PUNCT
bitcs-2759	37	1	the	the	DET
bitcs-2759	37	2	introductory	introductory	ADJ
bitcs-2759	37	3	section	section	NOUN
bitcs-2759	37	4	and	and	CCONJ
bitcs-2759	37	5	the	the	DET
bitcs-2759	37	6	literature	literature	NOUN
bitcs-2759	37	7	review	review	NOUN
bitcs-2759	37	8	overview	overview	NOUN
bitcs-2759	37	9	section	section	NOUN
bitcs-2759	37	10	are	be	AUX
bitcs-2759	37	11	included	include	VERB
bitcs-2759	37	12	in	in	ADP
bitcs-2759	37	13	sections	section	NOUN
bitcs-2759	37	14	1	1	NUM
bitcs-2759	37	15	and	and	CCONJ
bitcs-2759	37	16	2	2	NUM
bitcs-2759	37	17	,	,	PUNCT
bitcs-2759	37	18	respectively	respectively	ADV
bitcs-2759	37	19	.	.	PUNCT
bitcs-2759	38	1	the	the	DET
bitcs-2759	38	2	proposed	propose	VERB
bitcs-2759	38	3	approach	approach	NOUN
bitcs-2759	38	4	is	be	AUX
bitcs-2759	38	5	covered	cover	VERB
bitcs-2759	38	6	in	in	ADP
bitcs-2759	38	7	section	section	NOUN
bitcs-2759	38	8	3	3	NUM
bitcs-2759	38	9	.	.	PUNCT
bitcs-2759	38	10	section	section	NOUN
bitcs-2759	38	11	4	4	NUM
bitcs-2759	38	12	shows	show	VERB
bitcs-2759	38	13	the	the	DET
bitcs-2759	38	14	findings	finding	NOUN
bitcs-2759	38	15	and	and	CCONJ
bitcs-2759	38	16	explanation	explanation	NOUN
bitcs-2759	38	17	of	of	ADP
bitcs-2759	38	18	the	the	DET
bitcs-2759	38	19	performance	performance	NOUN
bitcs-2759	38	20	evaluation	evaluation	NOUN
bitcs-2759	38	21	48	48	NUM
bitcs-2759	38	22	|	|	ADV
bitcs-2759	38	23	vol.3	vol.3	PROPN
bitcs-2759	38	24	no.2	no.2	PROPN
bitcs-2759	38	25	,	,	PUNCT
bitcs-2759	38	26	july	july	PROPN
bitcs-2759	38	27	2022	2022	NUM
bitcs-2759	38	28	experiments	experiment	NOUN
bitcs-2759	38	29	.	.	PUNCT
bitcs-2759	39	1	the	the	DET
bitcs-2759	39	2	paper	paper	NOUN
bitcs-2759	39	3	's	's	PART
bitcs-2759	39	4	conclusions	conclusion	NOUN
bitcs-2759	39	5	are	be	AUX
bitcs-2759	39	6	presented	present	VERB
bitcs-2759	39	7	in	in	ADP
bitcs-2759	39	8	section	section	NOUN
bitcs-2759	39	9	5	5	NUM
bitcs-2759	39	10	.	.	SYM
bitcs-2759	39	11	2	2	NUM
bitcs-2759	39	12	.	.	X
bitcs-2759	39	13	literature	literature	NOUN
bitcs-2759	39	14	review	review	NOUN
bitcs-2759	39	15	knowledge	knowledge	NOUN
bitcs-2759	39	16	-	-	PUNCT
bitcs-2759	39	17	based	base	VERB
bitcs-2759	39	18	approaches	approach	NOUN
bitcs-2759	39	19	,	,	PUNCT
bitcs-2759	39	20	also	also	ADV
bitcs-2759	39	21	known	know	VERB
bitcs-2759	39	22	as	as	ADP
bitcs-2759	39	23	rule	rule	NOUN
bitcs-2759	39	24	-	-	PUNCT
bitcs-2759	39	25	based	base	VERB
bitcs-2759	39	26	methods	method	NOUN
bitcs-2759	39	27	,	,	PUNCT
bitcs-2759	39	28	characterize	characterize	VERB
bitcs-2759	39	29	a	a	DET
bitcs-2759	39	30	face	face	NOUN
bitcs-2759	39	31	by	by	ADP
bitcs-2759	39	32	adhering	adhere	VERB
bitcs-2759	39	33	to	to	ADP
bitcs-2759	39	34	certain	certain	ADJ
bitcs-2759	39	35	guidelines	guideline	NOUN
bitcs-2759	39	36	.	.	PUNCT
bitcs-2759	40	1	the	the	DET
bitcs-2759	40	2	difficulty	difficulty	NOUN
bitcs-2759	40	3	of	of	ADP
bitcs-2759	40	4	formulating	formulate	VERB
bitcs-2759	40	5	rules	rule	NOUN
bitcs-2759	40	6	that	that	PRON
bitcs-2759	40	7	are	be	AUX
bitcs-2759	40	8	clearly	clearly	ADV
bitcs-2759	40	9	stated	state	VERB
bitcs-2759	40	10	is	be	AUX
bitcs-2759	40	11	one	one	NUM
bitcs-2759	40	12	of	of	ADP
bitcs-2759	40	13	the	the	DET
bitcs-2759	40	14	drawbacks	drawback	NOUN
bitcs-2759	40	15	of	of	ADP
bitcs-2759	40	16	using	use	VERB
bitcs-2759	40	17	this	this	DET
bitcs-2759	40	18	method	method	NOUN
bitcs-2759	40	19	.	.	PUNCT
bitcs-2759	41	1	noise	noise	NOUN
bitcs-2759	41	2	and	and	CCONJ
bitcs-2759	41	3	light	light	NOUN
bitcs-2759	41	4	may	may	AUX
bitcs-2759	41	5	have	have	VERB
bitcs-2759	41	6	a	a	DET
bitcs-2759	41	7	detrimental	detrimental	ADJ
bitcs-2759	41	8	effect	effect	NOUN
bitcs-2759	41	9	on	on	ADP
bitcs-2759	41	10	facial	facial	ADJ
bitcs-2759	41	11	recognition	recognition	NOUN
bitcs-2759	41	12	techniques	technique	NOUN
bitcs-2759	41	13	known	know	VERB
bitcs-2759	41	14	as	as	ADP
bitcs-2759	41	15	feature	feature	NOUN
bitcs-2759	41	16	invariant	invariant	ADJ
bitcs-2759	41	17	methods	method	NOUN
bitcs-2759	41	18	[	[	X
bitcs-2759	41	19	3	3	NUM
bitcs-2759	41	20	]	]	PUNCT
bitcs-2759	41	21	.	.	PUNCT
bitcs-2759	42	1	these	these	DET
bitcs-2759	42	2	techniques	technique	NOUN
bitcs-2759	42	3	employ	employ	VERB
bitcs-2759	42	4	distinguishing	distinguish	VERB
bitcs-2759	42	5	characteristics	characteristic	NOUN
bitcs-2759	42	6	of	of	ADP
bitcs-2759	42	7	a	a	DET
bitcs-2759	42	8	person	person	NOUN
bitcs-2759	42	9	's	's	PART
bitcs-2759	42	10	face	face	NOUN
bitcs-2759	42	11	,	,	PUNCT
bitcs-2759	42	12	such	such	ADJ
bitcs-2759	42	13	as	as	ADP
bitcs-2759	42	14	their	their	PRON
bitcs-2759	42	15	eyes	eye	NOUN
bitcs-2759	42	16	or	or	CCONJ
bitcs-2759	42	17	nose	nose	NOUN
bitcs-2759	42	18	,	,	PUNCT
bitcs-2759	42	19	to	to	PART
bitcs-2759	42	20	identify	identify	VERB
bitcs-2759	42	21	a	a	DET
bitcs-2759	42	22	person	person	NOUN
bitcs-2759	42	23	's	's	PART
bitcs-2759	42	24	face	face	NOUN
bitcs-2759	42	25	.	.	PUNCT
bitcs-2759	43	1	the	the	DET
bitcs-2759	43	2	detection	detection	NOUN
bitcs-2759	43	3	of	of	ADP
bitcs-2759	43	4	faces	face	NOUN
bitcs-2759	43	5	using	use	VERB
bitcs-2759	43	6	template	template	NOUN
bitcs-2759	43	7	-	-	PUNCT
bitcs-2759	43	8	matching	matching	NOUN
bitcs-2759	43	9	approaches	approach	NOUN
bitcs-2759	43	10	involves	involve	VERB
bitcs-2759	43	11	comparing	compare	VERB
bitcs-2759	43	12	pictures	picture	NOUN
bitcs-2759	43	13	with	with	ADP
bitcs-2759	43	14	conventional	conventional	ADJ
bitcs-2759	43	15	face	face	NOUN
bitcs-2759	43	16	patterns	pattern	NOUN
bitcs-2759	43	17	or	or	CCONJ
bitcs-2759	43	18	traits	trait	NOUN
bitcs-2759	43	19	that	that	PRON
bitcs-2759	43	20	have	have	AUX
bitcs-2759	43	21	been	be	AUX
bitcs-2759	43	22	recorded	record	VERB
bitcs-2759	43	23	in	in	ADP
bitcs-2759	43	24	the	the	DET
bitcs-2759	43	25	past	past	NOUN
bitcs-2759	43	26	and	and	CCONJ
bitcs-2759	43	27	connecting	connect	VERB
bitcs-2759	43	28	the	the	DET
bitcs-2759	43	29	two	two	NUM
bitcs-2759	43	30	to	to	PART
bitcs-2759	43	31	establish	establish	VERB
bitcs-2759	43	32	a	a	DET
bitcs-2759	43	33	relationship	relationship	NOUN
bitcs-2759	43	34	between	between	ADP
bitcs-2759	43	35	the	the	DET
bitcs-2759	43	36	three	three	NUM
bitcs-2759	43	37	.	.	PUNCT
bitcs-2759	44	1	the	the	DET
bitcs-2759	44	2	problem	problem	NOUN
bitcs-2759	44	3	with	with	ADP
bitcs-2759	44	4	these	these	DET
bitcs-2759	44	5	approaches	approach	NOUN
bitcs-2759	44	6	is	be	AUX
bitcs-2759	44	7	that	that	SCONJ
bitcs-2759	44	8	they	they	PRON
bitcs-2759	44	9	do	do	AUX
bitcs-2759	44	10	not	not	PART
bitcs-2759	44	11	account	account	VERB
bitcs-2759	44	12	for	for	ADP
bitcs-2759	44	13	differences	difference	NOUN
bitcs-2759	44	14	in	in	ADP
bitcs-2759	44	15	position	position	NOUN
bitcs-2759	44	16	,	,	PUNCT
bitcs-2759	44	17	size	size	NOUN
bitcs-2759	44	18	,	,	PUNCT
bitcs-2759	44	19	or	or	CCONJ
bitcs-2759	44	20	form	form	NOUN
bitcs-2759	44	21	.	.	PUNCT
bitcs-2759	45	1	finding	find	VERB
bitcs-2759	45	2	the	the	DET
bitcs-2759	45	3	important	important	ADJ
bitcs-2759	45	4	attributes	attribute	NOUN
bitcs-2759	45	5	of	of	ADP
bitcs-2759	45	6	face	face	NOUN
bitcs-2759	46	1	photos	photo	NOUN
bitcs-2759	46	2	requires	require	VERB
bitcs-2759	46	3	statistical	statistical	ADJ
bitcs-2759	46	4	analysis	analysis	NOUN
bitcs-2759	46	5	and	and	CCONJ
bitcs-2759	46	6	machine	machine	NOUN
bitcs-2759	46	7	learning	learning	NOUN
bitcs-2759	46	8	,	,	PUNCT
bitcs-2759	46	9	both	both	PRON
bitcs-2759	46	10	of	of	ADP
bitcs-2759	46	11	which	which	PRON
bitcs-2759	46	12	are	be	AUX
bitcs-2759	46	13	used	use	VERB
bitcs-2759	46	14	by	by	ADP
bitcs-2759	46	15	appearance	appearance	NOUN
bitcs-2759	46	16	based	base	VERB
bitcs-2759	46	17	approaches	approach	NOUN
bitcs-2759	46	18	[	[	X
bitcs-2759	46	19	4	4	NUM
bitcs-2759	46	20	]	]	PUNCT
bitcs-2759	46	21	.	.	PUNCT
bitcs-2759	47	1	this	this	DET
bitcs-2759	47	2	approach	approach	NOUN
bitcs-2759	47	3	,	,	PUNCT
bitcs-2759	47	4	which	which	PRON
bitcs-2759	47	5	is	be	AUX
bitcs-2759	47	6	also	also	ADV
bitcs-2759	47	7	used	use	VERB
bitcs-2759	47	8	in	in	ADP
bitcs-2759	47	9	the	the	DET
bitcs-2759	47	10	process	process	NOUN
bitcs-2759	47	11	of	of	ADP
bitcs-2759	47	12	feature	feature	NOUN
bitcs-2759	47	13	extraction	extraction	NOUN
bitcs-2759	47	14	for	for	ADP
bitcs-2759	47	15	face	face	NOUN
bitcs-2759	47	16	recognition	recognition	NOUN
bitcs-2759	47	17	,	,	PUNCT
bitcs-2759	47	18	is	be	AUX
bitcs-2759	47	19	broken	break	VERB
bitcs-2759	47	20	down	down	ADP
bitcs-2759	47	21	into	into	ADP
bitcs-2759	47	22	many	many	ADJ
bitcs-2759	47	23	sub	sub	NOUN
bitcs-2759	47	24	-	-	NOUN
bitcs-2759	47	25	methods	method	NOUN
bitcs-2759	47	26	.	.	PUNCT
bitcs-2759	48	1	the	the	DET
bitcs-2759	48	2	following	follow	VERB
bitcs-2759	48	3	is	be	AUX
bitcs-2759	48	4	a	a	DET
bitcs-2759	48	5	list	list	NOUN
bitcs-2759	48	6	of	of	ADP
bitcs-2759	48	7	some	some	PRON
bitcs-2759	48	8	of	of	ADP
bitcs-2759	48	9	the	the	DET
bitcs-2759	48	10	more	more	ADV
bitcs-2759	48	11	specialized	specialized	ADJ
bitcs-2759	48	12	methods	method	NOUN
bitcs-2759	48	13	that	that	PRON
bitcs-2759	48	14	are	be	AUX
bitcs-2759	48	15	used	use	VERB
bitcs-2759	48	16	in	in	ADP
bitcs-2759	48	17	face	face	NOUN
bitcs-2759	48	18	detection	detection	NOUN
bitcs-2759	48	19	:	:	PUNCT
bitcs-2759	48	20	taking	take	VERB
bitcs-2759	48	21	off	off	ADP
bitcs-2759	48	22	the	the	DET
bitcs-2759	48	23	backdrop	backdrop	ADJ
bitcs-2759	48	24	image	image	NOUN
bitcs-2759	48	25	.	.	PUNCT
bitcs-2759	49	1	for	for	ADP
bitcs-2759	49	2	instance	instance	NOUN
bitcs-2759	49	3	,	,	PUNCT
bitcs-2759	49	4	if	if	SCONJ
bitcs-2759	49	5	a	a	DET
bitcs-2759	49	6	picture	picture	NOUN
bitcs-2759	49	7	has	have	VERB
bitcs-2759	49	8	a	a	DET
bitcs-2759	49	9	backdrop	backdrop	NOUN
bitcs-2759	49	10	that	that	PRON
bitcs-2759	49	11	is	be	AUX
bitcs-2759	49	12	a	a	DET
bitcs-2759	49	13	single	single	ADJ
bitcs-2759	49	14	color	color	NOUN
bitcs-2759	49	15	,	,	PUNCT
bitcs-2759	49	16	or	or	CCONJ
bitcs-2759	49	17	if	if	SCONJ
bitcs-2759	49	18	it	it	PRON
bitcs-2759	49	19	has	have	VERB
bitcs-2759	49	20	a	a	DET
bitcs-2759	49	21	background	background	NOUN
bitcs-2759	49	22	that	that	PRON
bitcs-2759	49	23	is	be	AUX
bitcs-2759	49	24	pre	pre	ADJ
bitcs-2759	49	25	-	-	VERB
bitcs-2759	49	26	defined	define	VERB
bitcs-2759	49	27	and	and	CCONJ
bitcs-2759	49	28	unchanging	unchanging	ADJ
bitcs-2759	49	29	,	,	PUNCT
bitcs-2759	49	30	then	then	ADV
bitcs-2759	49	31	removing	remove	VERB
bitcs-2759	49	32	the	the	DET
bitcs-2759	49	33	background	background	NOUN
bitcs-2759	49	34	from	from	ADP
bitcs-2759	49	35	the	the	DET
bitcs-2759	49	36	image	image	NOUN
bitcs-2759	49	37	may	may	AUX
bitcs-2759	49	38	assist	assist	VERB
bitcs-2759	49	39	show	show	VERB
bitcs-2759	49	40	the	the	DET
bitcs-2759	49	41	facial	facial	ADJ
bitcs-2759	49	42	borders	border	NOUN
bitcs-2759	49	43	.	.	PUNCT
bitcs-2759	50	1	sometimes	sometimes	ADV
bitcs-2759	50	2	the	the	DET
bitcs-2759	50	3	color	color	NOUN
bitcs-2759	50	4	of	of	ADP
bitcs-2759	50	5	the	the	DET
bitcs-2759	50	6	subject	subject	NOUN
bitcs-2759	50	7	's	's	PART
bitcs-2759	50	8	skin	skin	NOUN
bitcs-2759	50	9	may	may	AUX
bitcs-2759	50	10	help	help	AUX
bitcs-2759	50	11	identify	identify	VERB
bitcs-2759	50	12	faces	face	NOUN
bitcs-2759	50	13	in	in	ADP
bitcs-2759	50	14	color	color	NOUN
bitcs-2759	50	15	photographs	photograph	NOUN
bitcs-2759	50	16	;	;	PUNCT
bitcs-2759	50	17	however	however	ADV
bitcs-2759	50	18	,	,	PUNCT
bitcs-2759	50	19	this	this	PRON
bitcs-2759	50	20	is	be	AUX
bitcs-2759	50	21	not	not	PART
bitcs-2759	50	22	guaranteed	guarantee	VERB
bitcs-2759	50	23	to	to	PART
bitcs-2759	50	24	work	work	VERB
bitcs-2759	50	25	with	with	ADP
bitcs-2759	50	26	every	every	DET
bitcs-2759	50	27	complexion	complexion	NOUN
bitcs-2759	50	28	.	.	PUNCT
bitcs-2759	51	1	the	the	DET
bitcs-2759	51	2	use	use	NOUN
bitcs-2759	51	3	of	of	ADP
bitcs-2759	51	4	motion	motion	NOUN
bitcs-2759	51	5	to	to	PART
bitcs-2759	51	6	identify	identify	VERB
bitcs-2759	51	7	faces	face	NOUN
bitcs-2759	51	8	is	be	AUX
bitcs-2759	51	9	yet	yet	ADV
bitcs-2759	51	10	another	another	DET
bitcs-2759	51	11	possibility	possibility	NOUN
bitcs-2759	51	12	.	.	PUNCT
bitcs-2759	52	1	because	because	SCONJ
bitcs-2759	52	2	a	a	DET
bitcs-2759	52	3	face	face	NOUN
bitcs-2759	52	4	is	be	AUX
bitcs-2759	52	5	generally	generally	ADV
bitcs-2759	52	6	always	always	ADV
bitcs-2759	52	7	moving	move	VERB
bitcs-2759	52	8	during	during	ADP
bitcs-2759	52	9	the	the	DET
bitcs-2759	52	10	real	real	ADJ
bitcs-2759	52	11	time	time	NOUN
bitcs-2759	52	12	video	video	NOUN
bitcs-2759	52	13	,	,	PUNCT
bitcs-2759	52	14	users	user	NOUN
bitcs-2759	52	15	of	of	ADP
bitcs-2759	52	16	this	this	DET
bitcs-2759	52	17	approach	approach	NOUN
bitcs-2759	52	18	are	be	AUX
bitcs-2759	52	19	required	require	VERB
bitcs-2759	52	20	to	to	PART
bitcs-2759	52	21	determine	determine	VERB
bitcs-2759	52	22	the	the	DET
bitcs-2759	52	23	region	region	NOUN
bitcs-2759	52	24	of	of	ADP
bitcs-2759	52	25	the	the	DET
bitcs-2759	52	26	face	face	NOUN
bitcs-2759	52	27	that	that	PRON
bitcs-2759	52	28	is	be	AUX
bitcs-2759	52	29	moving	move	VERB
bitcs-2759	52	30	.	.	PUNCT
bitcs-2759	53	1	this	this	DET
bitcs-2759	53	2	approach	approach	NOUN
bitcs-2759	53	3	has	have	VERB
bitcs-2759	53	4	a	a	DET
bitcs-2759	53	5	few	few	ADJ
bitcs-2759	53	6	drawbacks	drawback	NOUN
bitcs-2759	53	7	,	,	PUNCT
bitcs-2759	53	8	one	one	NUM
bitcs-2759	53	9	of	of	ADP
bitcs-2759	53	10	which	which	PRON
bitcs-2759	53	11	is	be	AUX
bitcs-2759	53	12	the	the	DET
bitcs-2759	53	13	potential	potential	NOUN
bitcs-2759	53	14	for	for	ADP
bitcs-2759	53	15	misunderstanding	misunderstanding	NOUN
bitcs-2759	53	16	with	with	ADP
bitcs-2759	53	17	other	other	ADJ
bitcs-2759	53	18	moving	move	VERB
bitcs-2759	53	19	objects	object	NOUN
bitcs-2759	53	20	in	in	ADP
bitcs-2759	53	21	the	the	DET
bitcs-2759	53	22	background	background	NOUN
bitcs-2759	53	23	.	.	PUNCT
bitcs-2759	54	1	a	a	DET
bitcs-2759	54	2	complete	complete	ADJ
bitcs-2759	54	3	technique	technique	NOUN
bitcs-2759	54	4	for	for	ADP
bitcs-2759	54	5	detecting	detect	VERB
bitcs-2759	54	6	faces	face	NOUN
bitcs-2759	54	7	may	may	AUX
bitcs-2759	54	8	be	be	AUX
bitcs-2759	54	9	created	create	VERB
bitcs-2759	54	10	by	by	ADP
bitcs-2759	54	11	combining	combine	VERB
bitcs-2759	54	12	some	some	PRON
bitcs-2759	54	13	of	of	ADP
bitcs-2759	54	14	the	the	DET
bitcs-2759	54	15	tactics	tactic	NOUN
bitcs-2759	54	16	described	describe	VERB
bitcs-2759	54	17	in	in	ADP
bitcs-2759	54	18	the	the	DET
bitcs-2759	54	19	previous	previous	ADJ
bitcs-2759	54	20	paragraph	paragraph	NOUN
bitcs-2759	54	21	[	[	X
bitcs-2759	54	22	5	5	NUM
bitcs-2759	54	23	]	]	PUNCT
bitcs-2759	54	24	.	.	PUNCT
bitcs-2759	55	1	face	face	NOUN
bitcs-2759	55	2	recognition	recognition	NOUN
bitcs-2759	55	3	in	in	ADP
bitcs-2759	55	4	photographs	photograph	NOUN
bitcs-2759	55	5	can	can	AUX
bitcs-2759	55	6	be	be	AUX
bitcs-2759	55	7	challenging	challenge	VERB
bitcs-2759	55	8	because	because	SCONJ
bitcs-2759	55	9	of	of	ADP
bitcs-2759	55	10	the	the	DET
bitcs-2759	55	11	many	many	ADJ
bitcs-2759	55	12	variables	variable	NOUN
bitcs-2759	55	13	that	that	PRON
bitcs-2759	55	14	can	can	AUX
bitcs-2759	55	15	affect	affect	VERB
bitcs-2759	55	16	the	the	DET
bitcs-2759	55	17	process	process	NOUN
bitcs-2759	55	18	,	,	PUNCT
bitcs-2759	55	19	differences	difference	NOUN
bitcs-2759	55	20	in	in	ADP
bitcs-2759	55	21	camera	camera	NOUN
bitcs-2759	55	22	gain	gain	NOUN
bitcs-2759	55	23	,	,	PUNCT
bitcs-2759	55	24	lighting	lighting	NOUN
bitcs-2759	55	25	conditions	condition	NOUN
bitcs-2759	55	26	,	,	PUNCT
bitcs-2759	55	27	and	and	CCONJ
bitcs-2759	55	28	image	image	NOUN
bitcs-2759	55	29	quality	quality	NOUN
bitcs-2759	55	30	,	,	PUNCT
bitcs-2759	55	31	as	as	ADV
bitcs-2759	55	32	well	well	ADV
bitcs-2759	55	33	as	as	ADP
bitcs-2759	55	34	differences	difference	NOUN
bitcs-2759	55	35	in	in	ADP
bitcs-2759	55	36	attitude	attitude	NOUN
bitcs-2759	55	37	,	,	PUNCT
bitcs-2759	55	38	emotion	emotion	NOUN
bitcs-2759	55	39	,	,	PUNCT
bitcs-2759	55	40	location	location	NOUN
bitcs-2759	55	41	,	,	PUNCT
bitcs-2759	55	42	orientation	orientation	NOUN
bitcs-2759	55	43	,	,	PUNCT
bitcs-2759	55	44	skin	skin	NOUN
bitcs-2759	55	45	color	color	NOUN
bitcs-2759	55	46	,	,	PUNCT
bitcs-2759	55	47	and	and	CCONJ
bitcs-2759	55	48	pixel	pixel	PROPN
bitcs-2759	55	49	values	value	NOUN
bitcs-2759	55	50	,	,	PUNCT
bitcs-2759	55	51	the	the	DET
bitcs-2759	55	52	existence	existence	NOUN
bitcs-2759	55	53	of	of	ADP
bitcs-2759	55	54	spectacles	spectacle	NOUN
bitcs-2759	55	55	or	or	CCONJ
bitcs-2759	55	56	facial	facial	ADJ
bitcs-2759	55	57	hair	hair	NOUN
bitcs-2759	55	58	,	,	PUNCT
bitcs-2759	55	59	and	and	CCONJ
bitcs-2759	55	60	the	the	DET
bitcs-2759	55	61	photograph	photograph	NOUN
bitcs-2759	55	62	's	's	PART
bitcs-2759	55	63	orientation	orientation	NOUN
bitcs-2759	55	64	are	be	AUX
bitcs-2759	55	65	all	all	PRON
bitcs-2759	55	66	factors	factor	NOUN
bitcs-2759	55	67	to	to	PART
bitcs-2759	55	68	consider	consider	VERB
bitcs-2759	55	69	.	.	PUNCT
bitcs-2759	56	1	deep	deep	ADJ
bitcs-2759	56	2	learning	learning	NOUN
bitcs-2759	56	3	,	,	PUNCT
bitcs-2759	56	4	which	which	PRON
bitcs-2759	56	5	has	have	AUX
bitcs-2759	56	6	been	be	AUX
bitcs-2759	56	7	used	use	VERB
bitcs-2759	56	8	to	to	PART
bitcs-2759	56	9	make	make	VERB
bitcs-2759	56	10	advancements	advancement	NOUN
bitcs-2759	56	11	in	in	ADP
bitcs-2759	56	12	face	face	NOUN
bitcs-2759	56	13	identification	identification	NOUN
bitcs-2759	56	14	in	in	ADP
bitcs-2759	56	15	recent	recent	ADJ
bitcs-2759	56	16	years	year	NOUN
bitcs-2759	56	17	,	,	PUNCT
bitcs-2759	56	18	has	have	VERB
bitcs-2759	56	19	the	the	DET
bitcs-2759	56	20	benefit	benefit	NOUN
bitcs-2759	56	21	of	of	ADP
bitcs-2759	56	22	greatly	greatly	ADV
bitcs-2759	56	23	outperforming	outperform	VERB
bitcs-2759	56	24	standard	standard	ADJ
bitcs-2759	56	25	computer	computer	NOUN
bitcs-2759	56	26	vision	vision	NOUN
bitcs-2759	56	27	approaches	approach	NOUN
bitcs-2759	56	28	.	.	PUNCT
bitcs-2759	57	1	these	these	DET
bitcs-2759	57	2	advancements	advancement	NOUN
bitcs-2759	57	3	have	have	AUX
bitcs-2759	57	4	been	be	AUX
bitcs-2759	57	5	made	make	VERB
bitcs-2759	57	6	in	in	ADP
bitcs-2759	57	7	recent	recent	ADJ
bitcs-2759	57	8	years	year	NOUN
bitcs-2759	57	9	.	.	PUNCT
bitcs-2759	58	1	artificial	artificial	ADJ
bitcs-2759	58	2	intelligence	intelligence	NOUN
bitcs-2759	58	3	detects	detect	NOUN
bitcs-2759	58	4	objects	object	VERB
bitcs-2759	58	5	.	.	PUNCT
bitcs-2759	59	1	artificial	artificial	ADJ
bitcs-2759	59	2	intelligence	intelligence	NOUN
bitcs-2759	59	3	required	require	VERB
bitcs-2759	59	4	a	a	DET
bitcs-2759	59	5	large	large	ADJ
bitcs-2759	59	6	amount	amount	NOUN
bitcs-2759	59	7	of	of	ADP
bitcs-2759	59	8	data	datum	NOUN
bitcs-2759	59	9	.	.	PUNCT
bitcs-2759	60	1	then	then	ADV
bitcs-2759	60	2	as	as	ADP
bitcs-2759	60	3	a	a	DET
bitcs-2759	60	4	solution	solution	NOUN
bitcs-2759	60	5	authors	author	NOUN
bitcs-2759	60	6	use	use	VERB
bitcs-2759	60	7	yolo	yolo	PRON
bitcs-2759	60	8	,	,	PUNCT
bitcs-2759	60	9	however	however	ADV
bitcs-2759	60	10	,	,	PUNCT
bitcs-2759	60	11	a	a	DET
bitcs-2759	60	12	single	single	ADJ
bitcs-2759	60	13	yolo	yolo	ADJ
bitcs-2759	60	14	version	version	NOUN
bitcs-2759	60	15	did	do	AUX
bitcs-2759	60	16	not	not	PART
bitcs-2759	60	17	detect	detect	VERB
bitcs-2759	60	18	a	a	DET
bitcs-2759	60	19	large	large	ADJ
bitcs-2759	60	20	number	number	NOUN
bitcs-2759	60	21	of	of	ADP
bitcs-2759	60	22	objects	object	NOUN
bitcs-2759	60	23	accurately	accurately	ADV
bitcs-2759	60	24	[	[	X
bitcs-2759	60	25	6	6	NUM
bitcs-2759	60	26	]	]	PUNCT
bitcs-2759	60	27	.	.	PUNCT
bitcs-2759	61	1	in	in	ADP
bitcs-2759	61	2	[	[	X
bitcs-2759	61	3	7	7	NUM
bitcs-2759	61	4	]	]	PUNCT
bitcs-2759	61	5	authors	author	NOUN
bitcs-2759	61	6	,	,	PUNCT
bitcs-2759	61	7	highlight	highlight	VERB
bitcs-2759	61	8	the	the	DET
bitcs-2759	61	9	issue	issue	NOUN
bitcs-2759	61	10	of	of	ADP
bitcs-2759	61	11	car	car	NOUN
bitcs-2759	61	12	number	number	NOUN
bitcs-2759	61	13	plate	plate	NOUN
bitcs-2759	61	14	detection	detection	NOUN
bitcs-2759	61	15	.	.	PUNCT
bitcs-2759	62	1	authors	author	NOUN
bitcs-2759	62	2	use	use	VERB
bitcs-2759	62	3	the	the	DET
bitcs-2759	62	4	yolo	yolo	ADJ
bitcs-2759	62	5	algorithm	algorithm	NOUN
bitcs-2759	62	6	that	that	PRON
bitcs-2759	62	7	does	do	AUX
bitcs-2759	62	8	not	not	PART
bitcs-2759	62	9	accurately	accurately	ADV
bitcs-2759	62	10	detect	detect	VERB
bitcs-2759	62	11	all	all	DET
bitcs-2759	62	12	number	number	NOUN
bitcs-2759	62	13	plates	plate	NOUN
bitcs-2759	62	14	.	.	PUNCT
bitcs-2759	63	1	the	the	DET
bitcs-2759	63	2	authors	author	NOUN
bitcs-2759	63	3	in	in	ADP
bitcs-2759	63	4	[	[	X
bitcs-2759	63	5	8	8	NUM
bitcs-2759	63	6	]	]	PUNCT
bitcs-2759	63	7	,	,	PUNCT
bitcs-2759	63	8	and	and	CCONJ
bitcs-2759	63	9	[	[	X
bitcs-2759	63	10	9	9	NUM
bitcs-2759	63	11	]	]	PUNCT
bitcs-2759	63	12	highlight	highlight	VERB
bitcs-2759	63	13	the	the	DET
bitcs-2759	63	14	issue	issue	NOUN
bitcs-2759	63	15	of	of	ADP
bitcs-2759	63	16	face	face	NOUN
bitcs-2759	63	17	recognition	recognition	NOUN
bitcs-2759	63	18	.	.	PUNCT
bitcs-2759	64	1	many	many	ADJ
bitcs-2759	64	2	other	other	ADJ
bitcs-2759	64	3	authors	author	NOUN
bitcs-2759	64	4	use	use	VERB
bitcs-2759	64	5	other	other	ADJ
bitcs-2759	64	6	ml	ml	NOUN
bitcs-2759	64	7	techniques	technique	NOUN
bitcs-2759	64	8	;	;	PUNCT
bitcs-2759	64	9	however	however	ADV
bitcs-2759	64	10	,	,	PUNCT
bitcs-2759	64	11	that	that	SCONJ
bitcs-2759	64	12	techniques	technique	NOUN
bitcs-2759	64	13	fail	fail	VERB
bitcs-2759	64	14	to	to	PART
bitcs-2759	64	15	capture	capture	VERB
bitcs-2759	64	16	the	the	DET
bitcs-2759	64	17	facial	facial	ADJ
bitcs-2759	64	18	expressions	expression	NOUN
bitcs-2759	64	19	.	.	PUNCT
bitcs-2759	65	1	the	the	DET
bitcs-2759	65	2	accuracy	accuracy	NOUN
bitcs-2759	65	3	of	of	ADP
bitcs-2759	65	4	the	the	DET
bitcs-2759	65	5	algorithms	algorithms	NOUN
bitcs-2759	65	6	is	be	AUX
bitcs-2759	65	7	not	not	PART
bitcs-2759	65	8	good	good	ADJ
bitcs-2759	65	9	.	.	PUNCT
bitcs-2759	66	1	the	the	DET
bitcs-2759	66	2	authors	author	NOUN
bitcs-2759	66	3	resolved	resolve	VERB
bitcs-2759	66	4	the	the	DET
bitcs-2759	66	5	problem	problem	NOUN
bitcs-2759	66	6	of	of	ADP
bitcs-2759	66	7	detecting	detect	VERB
bitcs-2759	66	8	apple	apple	NOUN
bitcs-2759	66	9	plants	plant	NOUN
bitcs-2759	66	10	’	'	PUNCT
bitcs-2759	66	11	pictures	picture	NOUN
bitcs-2759	66	12	.	.	PUNCT
bitcs-2759	67	1	many	many	ADJ
bitcs-2759	67	2	authors	author	NOUN
bitcs-2759	67	3	use	use	VERB
bitcs-2759	67	4	deep	deep	ADJ
bitcs-2759	67	5	learning	learning	NOUN
bitcs-2759	67	6	algorithms	algorithm	NOUN
bitcs-2759	67	7	that	that	PRON
bitcs-2759	67	8	fail	fail	VERB
bitcs-2759	67	9	to	to	PART
bitcs-2759	67	10	recognize	recognize	VERB
bitcs-2759	67	11	that	that	SCONJ
bitcs-2759	67	12	yolo	yolo	ADJ
bitcs-2759	67	13	v4	v4	PROPN
bitcs-2759	67	14	is	be	AUX
bitcs-2759	67	15	used	use	VERB
bitcs-2759	67	16	to	to	PART
bitcs-2759	67	17	detect	detect	VERB
bitcs-2759	67	18	pictures	picture	NOUN
bitcs-2759	67	19	whose	whose	DET
bitcs-2759	67	20	accuracy	accuracy	NOUN
bitcs-2759	67	21	is	be	AUX
bitcs-2759	67	22	also	also	ADV
bitcs-2759	67	23	low	low	ADJ
bitcs-2759	67	24	[	[	X
bitcs-2759	67	25	10	10	NUM
bitcs-2759	67	26	-	-	SYM
bitcs-2759	67	27	11	11	NUM
bitcs-2759	67	28	]	]	PUNCT
bitcs-2759	67	29	.	.	PUNCT
bitcs-2759	68	1	paul	paul	PROPN
bitcs-2759	68	2	viola	viola	PROPN
bitcs-2759	68	3	and	and	CCONJ
bitcs-2759	68	4	michael	michael	PROPN
bitcs-2759	68	5	jones	jones	PROPN
bitcs-2759	68	6	,	,	PUNCT
bitcs-2759	68	7	computer	computer	NOUN
bitcs-2759	68	8	vision	vision	NOUN
bitcs-2759	68	9	researchers	researcher	NOUN
bitcs-2759	68	10	,	,	PUNCT
bitcs-2759	68	11	developed	develop	VERB
bitcs-2759	68	12	a	a	DET
bitcs-2759	68	13	system	system	NOUN
bitcs-2759	68	14	in	in	ADP
bitcs-2759	68	15	2001	2001	NUM
bitcs-2759	68	16	that	that	PRON
bitcs-2759	68	17	could	could	AUX
bitcs-2759	68	18	accurately	accurately	ADV
bitcs-2759	68	19	recognize	recognize	VERB
bitcs-2759	68	20	faces	face	NOUN
bitcs-2759	68	21	in	in	ADP
bitcs-2759	68	22	real	real	ADJ
bitcs-2759	68	23	-	-	PUNCT
bitcs-2759	68	24	time	time	NOUN
bitcs-2759	68	25	.	.	PUNCT
bitcs-2759	69	1	these	these	DET
bitcs-2759	69	2	developments	development	NOUN
bitcs-2759	69	3	brought	bring	VERB
bitcs-2759	69	4	about	about	ADP
bitcs-2759	69	5	significant	significant	ADJ
bitcs-2759	69	6	advancements	advancement	NOUN
bitcs-2759	69	7	in	in	ADP
bitcs-2759	69	8	the	the	DET
bitcs-2759	69	9	face	face	NOUN
bitcs-2759	69	10	detection	detection	NOUN
bitcs-2759	69	11	approach	approach	NOUN
bitcs-2759	69	12	[	[	X
bitcs-2759	69	13	1	1	NUM
bitcs-2759	69	14	,	,	PUNCT
bitcs-2759	69	15	12	12	NUM
bitcs-2759	69	16	]	]	PUNCT
bitcs-2759	69	17	.	.	PUNCT
bitcs-2759	70	1	the	the	DET
bitcs-2759	70	2	viola	viola	PROPN
bitcs-2759	70	3	-	-	PUNCT
bitcs-2759	70	4	jones	jones	PROPN
bitcs-2759	70	5	framework	framework	NOUN
bitcs-2759	70	6	relies	rely	VERB
bitcs-2759	70	7	on	on	ADP
bitcs-2759	70	8	the	the	DET
bitcs-2759	70	9	concept	concept	NOUN
bitcs-2759	70	10	of	of	ADP
bitcs-2759	70	11	teaching	teach	VERB
bitcs-2759	70	12	a	a	DET
bitcs-2759	70	13	model	model	NOUN
bitcs-2759	70	14	to	to	PART
bitcs-2759	70	15	recognize	recognize	VERB
bitcs-2759	70	16	what	what	PRON
bitcs-2759	70	17	constitutes	constitute	VERB
bitcs-2759	70	18	a	a	DET
bitcs-2759	70	19	face	face	NOUN
bitcs-2759	70	20	and	and	CCONJ
bitcs-2759	70	21	what	what	PRON
bitcs-2759	70	22	does	do	AUX
bitcs-2759	70	23	not	not	PART
bitcs-2759	70	24	constitute	constitute	VERB
bitcs-2759	70	25	a	a	DET
bitcs-2759	70	26	face	face	NOUN
bitcs-2759	70	27	.	.	PUNCT
bitcs-2759	71	1	once	once	SCONJ
bitcs-2759	71	2	the	the	DET
bitcs-2759	71	3	model	model	NOUN
bitcs-2759	71	4	has	have	AUX
bitcs-2759	71	5	been	be	AUX
bitcs-2759	71	6	trained	train	VERB
bitcs-2759	71	7	,	,	PUNCT
bitcs-2759	71	8	it	it	PRON
bitcs-2759	71	9	will	will	AUX
bitcs-2759	71	10	extract	extract	VERB
bitcs-2759	71	11	certain	certain	ADJ
bitcs-2759	71	12	features	feature	NOUN
bitcs-2759	71	13	,	,	PUNCT
bitcs-2759	71	14	which	which	PRON
bitcs-2759	71	15	will	will	AUX
bitcs-2759	71	16	then	then	ADV
bitcs-2759	71	17	be	be	AUX
bitcs-2759	71	18	saved	save	VERB
bitcs-2759	71	19	in	in	ADP
bitcs-2759	71	20	a	a	DET
bitcs-2759	71	21	file	file	NOUN
bitcs-2759	71	22	.	.	PUNCT
bitcs-2759	72	1	this	this	PRON
bitcs-2759	72	2	will	will	AUX
bitcs-2759	72	3	allow	allow	VERB
bitcs-2759	72	4	the	the	DET
bitcs-2759	72	5	features	feature	NOUN
bitcs-2759	72	6	extracted	extract	VERB
bitcs-2759	72	7	from	from	ADP
bitcs-2759	72	8	fresh	fresh	ADJ
bitcs-2759	72	9	photos	photo	NOUN
bitcs-2759	72	10	to	to	PART
bitcs-2759	72	11	be	be	AUX
bitcs-2759	72	12	compared	compare	VERB
bitcs-2759	72	13	with	with	ADP
bitcs-2759	72	14	the	the	DET
bitcs-2759	72	15	features	feature	NOUN
bitcs-2759	72	16	that	that	PRON
bitcs-2759	72	17	were	be	AUX
bitcs-2759	72	18	previously	previously	ADV
bitcs-2759	72	19	recorded	record	VERB
bitcs-2759	72	20	at	at	ADP
bitcs-2759	72	21	different	different	ADJ
bitcs-2759	72	22	phases	phase	NOUN
bitcs-2759	72	23	[	[	X
bitcs-2759	72	24	13	13	NUM
bitcs-2759	72	25	-	-	SYM
bitcs-2759	72	26	15	15	NUM
bitcs-2759	72	27	]	]	PUNCT
bitcs-2759	72	28	.	.	PUNCT
bitcs-2759	73	1	if	if	SCONJ
bitcs-2759	73	2	the	the	DET
bitcs-2759	73	3	picture	picture	NOUN
bitcs-2759	73	4	being	be	AUX
bitcs-2759	73	5	analyzed	analyze	VERB
bitcs-2759	73	6	is	be	AUX
bitcs-2759	73	7	successful	successful	ADJ
bitcs-2759	73	8	in	in	ADP
bitcs-2759	73	9	passing	pass	VERB
bitcs-2759	73	10	through	through	ADP
bitcs-2759	73	11	each	each	DET
bitcs-2759	73	12	step	step	NOUN
bitcs-2759	73	13	of	of	ADP
bitcs-2759	73	14	the	the	DET
bitcs-2759	73	15	comparison	comparison	NOUN
bitcs-2759	73	16	of	of	ADP
bitcs-2759	73	17	its	its	PRON
bitcs-2759	73	18	features	feature	NOUN
bitcs-2759	73	19	,	,	PUNCT
bitcs-2759	73	20	then	then	ADV
bitcs-2759	73	21	a	a	DET
bitcs-2759	73	22	face	face	NOUN
bitcs-2759	73	23	has	have	AUX
bitcs-2759	73	24	been	be	AUX
bitcs-2759	73	25	identified	identify	VERB
bitcs-2759	73	26	and	and	CCONJ
bitcs-2759	73	27	the	the	DET
bitcs-2759	73	28	processes	process	NOUN
bitcs-2759	73	29	may	may	AUX
bitcs-2759	73	30	continue	continue	VERB
bitcs-2759	73	31	.	.	PUNCT
bitcs-2759	74	1	even	even	ADV
bitcs-2759	74	2	though	though	SCONJ
bitcs-2759	74	3	it	it	PRON
bitcs-2759	74	4	is	be	AUX
bitcs-2759	74	5	still	still	ADV
bitcs-2759	74	6	widely	widely	ADV
bitcs-2759	74	7	used	use	VERB
bitcs-2759	74	8	,	,	PUNCT
bitcs-2759	74	9	the	the	DET
bitcs-2759	74	10	viola	viola	PROPN
bitcs-2759	74	11	-	-	PUNCT
bitcs-2759	74	12	jones	jones	PROPN
bitcs-2759	74	13	framework	framework	NOUN
bitcs-2759	74	14	has	have	VERB
bitcs-2759	74	15	certain	certain	ADJ
bitcs-2759	74	16	shortcomings	shortcoming	NOUN
bitcs-2759	74	17	when	when	SCONJ
bitcs-2759	74	18	it	it	PRON
bitcs-2759	74	19	comes	come	VERB
bitcs-2759	74	20	to	to	ADP
bitcs-2759	74	21	the	the	DET
bitcs-2759	74	22	recognition	recognition	NOUN
bitcs-2759	74	23	of	of	ADP
bitcs-2759	74	24	faces	face	NOUN
bitcs-2759	74	25	in	in	ADP
bitcs-2759	74	26	real	real	ADJ
bitcs-2759	74	27	-	-	PUNCT
bitcs-2759	74	28	time	time	NOUN
bitcs-2759	74	29	applications	application	NOUN
bitcs-2759	74	30	.	.	PUNCT
bitcs-2759	75	1	for	for	ADP
bitcs-2759	75	2	instance	instance	NOUN
bitcs-2759	75	3	,	,	PUNCT
bitcs-2759	75	4	the	the	DET
bitcs-2759	75	5	framework	framework	NOUN
bitcs-2759	75	6	may	may	AUX
bitcs-2759	75	7	not	not	PART
bitcs-2759	75	8	function	function	VERB
bitcs-2759	75	9	correctly	correctly	ADV
bitcs-2759	75	10	if	if	SCONJ
bitcs-2759	75	11	a	a	DET
bitcs-2759	75	12	face	face	NOUN
bitcs-2759	75	13	is	be	AUX
bitcs-2759	75	14	obscured	obscure	VERB
bitcs-2759	75	15	by	by	ADP
bitcs-2759	75	16	something	something	PRON
bitcs-2759	75	17	like	like	ADP
bitcs-2759	75	18	a	a	DET
bitcs-2759	75	19	mask	mask	NOUN
bitcs-2759	75	20	or	or	CCONJ
bitcs-2759	75	21	a	a	DET
bitcs-2759	75	22	scarf	scarf	NOUN
bitcs-2759	75	23	.	.	PUNCT
bitcs-2759	76	1	likewise	likewise	ADV
bitcs-2759	76	2	,	,	PUNCT
bitcs-2759	76	3	if	if	SCONJ
bitcs-2759	76	4	a	a	DET
bitcs-2759	76	5	face	face	NOUN
bitcs-2759	76	6	is	be	AUX
bitcs-2759	76	7	not	not	PART
bitcs-2759	76	8	orientated	orientate	VERB
bitcs-2759	76	9	correctly	correctly	ADV
bitcs-2759	76	10	,	,	PUNCT
bitcs-2759	76	11	the	the	DET
bitcs-2759	76	12	algorithm	algorithm	NOUN
bitcs-2759	76	13	might	might	AUX
bitcs-2759	76	14	not	not	PART
bitcs-2759	76	15	be	be	AUX
bitcs-2759	76	16	able	able	ADJ
bitcs-2759	76	17	to	to	PART
bitcs-2759	76	18	locate	locate	VERB
bitcs-2759	76	19	it	it	PRON
bitcs-2759	76	20	[	[	X
bitcs-2759	76	21	16	16	NUM
bitcs-2759	76	22	]	]	PUNCT
bitcs-2759	76	23	.	.	PUNCT
bitcs-2759	77	1	other	other	ADJ
bitcs-2759	77	2	algorithms	algorithm	NOUN
bitcs-2759	77	3	have	have	AUX
bitcs-2759	77	4	been	be	AUX
bitcs-2759	77	5	created	create	VERB
bitcs-2759	77	6	to	to	PART
bitcs-2759	77	7	help	help	VERB
bitcs-2759	77	8	improve	improve	VERB
bitcs-2759	77	9	processes	process	NOUN
bitcs-2759	77	10	and	and	CCONJ
bitcs-2759	77	11	eliminate	eliminate	VERB
bitcs-2759	77	12	the	the	DET
bitcs-2759	77	13	disadvantages	disadvantage	NOUN
bitcs-2759	77	14	of	of	ADP
bitcs-2759	77	15	the	the	DET
bitcs-2759	77	16	viola	viola	PROPN
bitcs-2759	77	17	-	-	PUNCT
bitcs-2759	77	18	jones	jones	PROPN
bitcs-2759	77	19	framework	framework	NOUN
bitcs-2759	77	20	,	,	PUNCT
bitcs-2759	77	21	such	such	ADJ
bitcs-2759	77	22	as	as	ADP
bitcs-2759	77	23	the	the	DET
bitcs-2759	77	24	region	region	NOUN
bitcs-2759	77	25	-	-	PUNCT
bitcs-2759	77	26	based	base	VERB
bitcs-2759	77	27	convolutional	convolutional	ADJ
bitcs-2759	77	28	neural	neural	ADJ
bitcs-2759	77	29	network	network	NOUN
bitcs-2759	77	30	(	(	PUNCT
bitcs-2759	77	31	r	r	NOUN
bitcs-2759	77	32	-	-	PUNCT
bitcs-2759	77	33	cnn	cnn	NOUN
bitcs-2759	77	34	)	)	PUNCT
bitcs-2759	77	35	and	and	CCONJ
bitcs-2759	77	36	single	single	ADJ
bitcs-2759	77	37	shot	shot	NOUN
bitcs-2759	77	38	detector	detector	NOUN
bitcs-2759	77	39	(	(	PUNCT
bitcs-2759	77	40	ssd	ssd	NOUN
bitcs-2759	77	41	)	)	PUNCT
bitcs-2759	77	42	.	.	PUNCT
bitcs-2759	78	1	this	this	PRON
bitcs-2759	78	2	has	have	AUX
bitcs-2759	78	3	helped	help	VERB
bitcs-2759	78	4	to	to	PART
bitcs-2759	78	5	improve	improve	VERB
bitcs-2759	78	6	the	the	DET
bitcs-2759	78	7	overall	overall	ADJ
bitcs-2759	78	8	quality	quality	NOUN
bitcs-2759	78	9	of	of	ADP
bitcs-2759	78	10	the	the	DET
bitcs-2759	78	11	process	process	NOUN
bitcs-2759	78	12	[	[	X
bitcs-2759	78	13	3	3	NUM
bitcs-2759	78	14	]	]	PUNCT
bitcs-2759	78	15	.	.	PUNCT
bitcs-2759	79	1	in	in	ADP
bitcs-2759	79	2	the	the	DET
bitcs-2759	79	3	field	field	NOUN
bitcs-2759	79	4	of	of	ADP
bitcs-2759	79	5	image	image	NOUN
bitcs-2759	79	6	identification	identification	NOUN
bitcs-2759	79	7	and	and	CCONJ
bitcs-2759	79	8	processing	processing	NOUN
bitcs-2759	79	9	,	,	PUNCT
bitcs-2759	79	10	an	an	DET
bitcs-2759	79	11	artificial	artificial	ADJ
bitcs-2759	79	12	neural	neural	ADJ
bitcs-2759	79	13	network	network	NOUN
bitcs-2759	79	14	known	know	VERB
bitcs-2759	79	15	as	as	ADP
bitcs-2759	79	16	a	a	DET
bitcs-2759	79	17	convolutional	convolutional	ADJ
bitcs-2759	79	18	neural	neural	ADJ
bitcs-2759	79	19	network	network	NOUN
bitcs-2759	79	20	(	(	PUNCT
bitcs-2759	79	21	cnn	cnn	PROPN
bitcs-2759	79	22	)	)	PUNCT
bitcs-2759	79	23	is	be	AUX
bitcs-2759	79	24	a	a	DET
bitcs-2759	79	25	form	form	NOUN
bitcs-2759	79	26	of	of	ADP
bitcs-2759	79	27	neural	neural	ADJ
bitcs-2759	79	28	network	network	NOUN
bitcs-2759	79	29	that	that	PRON
bitcs-2759	79	30	was	be	AUX
bitcs-2759	79	31	developed	develop	VERB
bitcs-2759	79	32	for	for	ADP
bitcs-2759	79	33	the	the	DET
bitcs-2759	79	34	sole	sole	ADJ
bitcs-2759	79	35	purpose	purpose	NOUN
bitcs-2759	79	36	of	of	ADP
bitcs-2759	79	37	handling	handle	VERB
bitcs-2759	79	38	pixel	pixel	ADJ
bitcs-2759	79	39	input	input	NOUN
bitcs-2759	79	40	.	.	PUNCT
bitcs-2759	80	1	to	to	PART
bitcs-2759	80	2	localize	localize	VERB
bitcs-2759	80	3	and	and	CCONJ
bitcs-2759	80	4	categorize	categorize	VERB
bitcs-2759	80	5	the	the	DET
bitcs-2759	80	6	objects	object	NOUN
bitcs-2759	80	7	seen	see	VERB
bitcs-2759	80	8	in	in	ADP
bitcs-2759	80	9	pictures	picture	NOUN
bitcs-2759	80	10	,	,	PUNCT
bitcs-2759	80	11	r	r	X
bitcs-2759	80	12	-	-	PUNCT
bitcs-2759	80	13	cnn	cnn	PROPN
bitcs-2759	80	14	will	will	AUX
bitcs-2759	80	15	provide	provide	VERB
bitcs-2759	80	16	region	region	NOUN
bitcs-2759	80	17	recommendations	recommendation	NOUN
bitcs-2759	80	18	based	base	VERB
bitcs-2759	80	19	on	on	ADP
bitcs-2759	80	20	a	a	DET
bitcs-2759	80	21	cnn	cnn	PROPN
bitcs-2759	80	22	framework	framework	NOUN
bitcs-2759	80	23	.	.	PUNCT
bitcs-2759	81	1	ssd	ssd	PROPN
bitcs-2759	81	2	requires	require	VERB
bitcs-2759	81	3	only	only	ADV
bitcs-2759	81	4	one	one	NUM
bitcs-2759	81	5	shot	shot	NOUN
bitcs-2759	81	6	to	to	PART
bitcs-2759	81	7	recognize	recognize	VERB
bitcs-2759	81	8	several	several	ADJ
bitcs-2759	81	9	objects	object	NOUN
bitcs-2759	81	10	within	within	ADP
bitcs-2759	81	11	an	an	DET
bitcs-2759	81	12	image	image	NOUN
bitcs-2759	81	13	,	,	PUNCT
bitcs-2759	81	14	compared	compare	VERB
bitcs-2759	81	15	to	to	ADP
bitcs-2759	81	16	two	two	NUM
bitcs-2759	81	17	shots	shot	NOUN
bitcs-2759	81	18	required	require	VERB
bitcs-2759	81	19	by	by	ADP
bitcs-2759	81	20	region	region	NOUN
bitcs-2759	81	21	proposal	proposal	NOUN
bitcs-2759	81	22	network	network	NOUN
bitcs-2759	81	23	-	-	PUNCT
bitcs-2759	81	24	based	base	VERB
bitcs-2759	81	25	techniques	technique	NOUN
bitcs-2759	81	26	like	like	ADP
bitcs-2759	81	27	r	r	NOUN
bitcs-2759	81	28	-	-	PUNCT
bitcs-2759	81	29	cnn	cnn	NOUN
bitcs-2759	81	30	[	[	X
bitcs-2759	81	31	27,28	27,28	X
bitcs-2759	81	32	]	]	X
bitcs-2759	81	33	.	.	PUNCT
bitcs-2759	82	1	the	the	DET
bitcs-2759	82	2	first	first	ADJ
bitcs-2759	82	3	shot	shot	NOUN
bitcs-2759	82	4	is	be	AUX
bitcs-2759	82	5	used	use	VERB
bitcs-2759	82	6	to	to	PART
bitcs-2759	82	7	generate	generate	VERB
bitcs-2759	82	8	region	region	NOUN
bitcs-2759	82	9	proposals	proposal	NOUN
bitcs-2759	82	10	,	,	PUNCT
bitcs-2759	82	11	and	and	CCONJ
bitcs-2759	82	12	the	the	DET
bitcs-2759	82	13	second	second	ADJ
bitcs-2759	82	14	shot	shot	NOUN
bitcs-2759	82	15	is	be	AUX
bitcs-2759	82	16	used	use	VERB
bitcs-2759	82	17	to	to	PART
bitcs-2759	82	18	detect	detect	VERB
bitcs-2759	82	19	the	the	DET
bitcs-2759	82	20	object	object	NOUN
bitcs-2759	82	21	associated	associate	VERB
bitcs-2759	82	22	with	with	ADP
bitcs-2759	82	23	each	each	DET
bitcs-2759	82	24	proposal	proposal	NOUN
bitcs-2759	82	25	[	[	X
bitcs-2759	82	26	2	2	NUM
bitcs-2759	82	27	]	]	PUNCT
bitcs-2759	82	28	.	.	PUNCT
bitcs-2759	83	1	as	as	ADP
bitcs-2759	83	2	a	a	DET
bitcs-2759	83	3	result	result	NOUN
bitcs-2759	83	4	,	,	PUNCT
bitcs-2759	83	5	ssd	ssd	NOUN
bitcs-2759	83	6	is	be	AUX
bitcs-2759	83	7	much	much	ADV
bitcs-2759	83	8	quicker	quick	ADJ
bitcs-2759	83	9	than	than	ADP
bitcs-2759	83	10	r	r	NOUN
bitcs-2759	83	11	-	-	PUNCT
bitcs-2759	83	12	cnn	cnn	NOUN
bitcs-2759	83	13	.	.	PUNCT
bitcs-2759	84	1	the	the	DET
bitcs-2759	84	2	covid-19	covid-19	PROPN
bitcs-2759	84	3	outbreak	outbreak	NOUN
bitcs-2759	84	4	has	have	AUX
bitcs-2759	84	5	quickly	quickly	ADV
bitcs-2759	84	6	wreaked	wreak	VERB
bitcs-2759	84	7	havoc	havoc	NOUN
bitcs-2759	84	8	on	on	ADP
bitcs-2759	84	9	our	our	PRON
bitcs-2759	84	10	day	day	NOUN
bitcs-2759	84	11	-	-	PUNCT
bitcs-2759	84	12	to	to	ADP
bitcs-2759	84	13	-	-	PUNCT
bitcs-2759	84	14	day	day	NOUN
bitcs-2759	84	15	lives	life	NOUN
bitcs-2759	84	16	,	,	PUNCT
bitcs-2759	84	17	impeding	impede	VERB
bitcs-2759	84	18	the	the	DET
bitcs-2759	84	19	flow	flow	NOUN
bitcs-2759	84	20	of	of	ADP
bitcs-2759	84	21	commerce	commerce	NOUN
bitcs-2759	84	22	and	and	CCONJ
bitcs-2759	84	23	travel	travel	VERB
bitcs-2759	84	24	across	across	ADP
bitcs-2759	84	25	international	international	ADJ
bitcs-2759	84	26	borders	border	NOUN
bitcs-2759	84	27	.	.	PUNCT
bitcs-2759	85	1	protecting	protect	VERB
bitcs-2759	85	2	one	one	PRON
bitcs-2759	85	3	's	's	PART
bitcs-2759	85	4	face	face	NOUN
bitcs-2759	85	5	by	by	ADP
bitcs-2759	85	6	using	use	VERB
bitcs-2759	85	7	a	a	DET
bitcs-2759	85	8	face	face	NOUN
bitcs-2759	85	9	mask	mask	NOUN
bitcs-2759	85	10	has	have	AUX
bitcs-2759	85	11	emerged	emerge	VERB
bitcs-2759	85	12	as	as	ADP
bitcs-2759	85	13	the	the	DET
bitcs-2759	85	14	new	new	ADJ
bitcs-2759	85	15	standard	standard	ADJ
bitcs-2759	85	16	practice	practice	NOUN
bitcs-2759	85	17	.	.	PUNCT
bitcs-2759	86	1	in	in	ADP
bitcs-2759	86	2	[	[	X
bitcs-2759	86	3	17	17	NUM
bitcs-2759	86	4	,	,	PUNCT
bitcs-2759	86	5	18	18	NUM
bitcs-2759	86	6	]	]	PUNCT
bitcs-2759	86	7	the	the	DET
bitcs-2759	86	8	not	not	PART
bitcs-2759	86	9	too	too	ADV
bitcs-2759	86	10	distant	distant	ADJ
bitcs-2759	86	11	future	future	NOUN
bitcs-2759	86	12	,	,	PUNCT
bitcs-2759	86	13	many	many	ADJ
bitcs-2759	86	14	suppliers	supplier	NOUN
bitcs-2759	86	15	of	of	ADP
bitcs-2759	86	16	public	public	ADJ
bitcs-2759	86	17	services	service	NOUN
bitcs-2759	86	18	will	will	AUX
bitcs-2759	86	19	need	need	VERB
bitcs-2759	86	20	their	their	PRON
bitcs-2759	86	21	customers	customer	NOUN
bitcs-2759	86	22	to	to	PART
bitcs-2759	86	23	wear	wear	VERB
bitcs-2759	86	24	masks	mask	NOUN
bitcs-2759	86	25	that	that	PRON
bitcs-2759	86	26	are	be	AUX
bitcs-2759	86	27	suited	suit	VERB
bitcs-2759	86	28	for	for	SCONJ
bitcs-2759	86	29	the	the	DET
bitcs-2759	86	30	environment	environment	NOUN
bitcs-2759	86	31	to	to	PART
bitcs-2759	86	32	get	get	VERB
bitcs-2759	86	33	their	their	PRON
bitcs-2759	86	34	services	service	NOUN
bitcs-2759	86	35	.	.	PUNCT
bitcs-2759	87	1	as	as	ADP
bitcs-2759	87	2	a	a	DET
bitcs-2759	87	3	result	result	NOUN
bitcs-2759	87	4	,	,	PUNCT
bitcs-2759	87	5	the	the	DET
bitcs-2759	87	6	identification	identification	NOUN
bitcs-2759	87	7	of	of	ADP
bitcs-2759	87	8	face	face	NOUN
bitcs-2759	87	9	masks	mask	NOUN
bitcs-2759	87	10	has	have	AUX
bitcs-2759	87	11	developed	develop	VERB
bitcs-2759	87	12	into	into	ADP
bitcs-2759	87	13	an	an	DET
bitcs-2759	87	14	essential	essential	ADJ
bitcs-2759	87	15	obligation	obligation	NOUN
bitcs-2759	87	16	to	to	PART
bitcs-2759	87	17	support	support	VERB
bitcs-2759	87	18	international	international	ADJ
bitcs-2759	87	19	culture	culture	NOUN
bitcs-2759	87	20	.	.	PUNCT
bitcs-2759	88	1	in	in	ADP
bitcs-2759	88	2	[	[	X
bitcs-2759	88	3	19	19	NUM
bitcs-2759	88	4	]	]	PUNCT
bitcs-2759	88	5	,	,	PUNCT
bitcs-2759	88	6	[	[	X
bitcs-2759	88	7	20	20	NUM
bitcs-2759	88	8	]	]	PUNCT
bitcs-2759	88	9	using	use	VERB
bitcs-2759	88	10	several	several	ADJ
bitcs-2759	88	11	essential	essential	ADJ
bitcs-2759	88	12	machine	machine	NOUN
bitcs-2759	88	13	learning	learning	NOUN
bitcs-2759	88	14	technologies	technology	NOUN
bitcs-2759	88	15	such	such	ADJ
bitcs-2759	88	16	as	as	ADP
bitcs-2759	88	17	tensorflow	tensorflow	NOUN
bitcs-2759	88	18	,	,	PUNCT
bitcs-2759	88	19	keras	keras	PROPN
bitcs-2759	88	20	,	,	PUNCT
bitcs-2759	88	21	opencv	opencv	PROPN
bitcs-2759	88	22	,	,	PUNCT
bitcs-2759	88	23	and	and	CCONJ
bitcs-2759	88	24	scikit	scikit	NOUN
bitcs-2759	88	25	-	-	PUNCT
bitcs-2759	88	26	learn	learn	VERB
bitcs-2759	88	27	,	,	PUNCT
bitcs-2759	88	28	the	the	DET
bitcs-2759	88	29	method	method	NOUN
bitcs-2759	88	30	presented	present	VERB
bitcs-2759	88	31	in	in	ADP
bitcs-2759	88	32	this	this	DET
bitcs-2759	88	33	research	research	NOUN
bitcs-2759	88	34	offers	offer	VERB
bitcs-2759	88	35	a	a	DET
bitcs-2759	88	36	straightforward	straightforward	ADJ
bitcs-2759	88	37	approach	approach	NOUN
bitcs-2759	88	38	to	to	ADP
bitcs-2759	88	39	accomplishing	accomplish	VERB
bitcs-2759	88	40	this	this	DET
bitcs-2759	88	41	goal	goal	NOUN
bitcs-2759	88	42	.	.	PUNCT
bitcs-2759	89	1	the	the	DET
bitcs-2759	89	2	49	49	NUM
bitcs-2759	89	3	|	|	ADV
bitcs-2759	89	4	vol.3	vol.3	PROPN
bitcs-2759	89	5	no.2	no.2	PROPN
bitcs-2759	89	6	,	,	PUNCT
bitcs-2759	89	7	july	july	PROPN
bitcs-2759	89	8	2022	2022	NUM
bitcs-2759	89	9	method	method	NOUN
bitcs-2759	89	10	that	that	PRON
bitcs-2759	89	11	is	be	AUX
bitcs-2759	89	12	proposed	propose	VERB
bitcs-2759	89	13	can	can	AUX
bitcs-2759	89	14	correctly	correctly	ADV
bitcs-2759	89	15	recognize	recognize	VERB
bitcs-2759	89	16	the	the	DET
bitcs-2759	89	17	face	face	NOUN
bitcs-2759	89	18	in	in	ADP
bitcs-2759	89	19	the	the	DET
bitcs-2759	89	20	picture	picture	NOUN
bitcs-2759	89	21	or	or	CCONJ
bitcs-2759	89	22	video	video	NOUN
bitcs-2759	89	23	,	,	PUNCT
bitcs-2759	89	24	and	and	CCONJ
bitcs-2759	89	25	it	it	PRON
bitcs-2759	89	26	then	then	ADV
bitcs-2759	89	27	decides	decide	VERB
bitcs-2759	89	28	whether	whether	SCONJ
bitcs-2759	89	29	or	or	CCONJ
bitcs-2759	89	30	not	not	PART
bitcs-2759	89	31	the	the	DET
bitcs-2759	89	32	subject	subject	NOUN
bitcs-2759	89	33	is	be	AUX
bitcs-2759	89	34	wearing	wear	VERB
bitcs-2759	89	35	a	a	DET
bitcs-2759	89	36	mask	mask	NOUN
bitcs-2759	89	37	[	[	X
bitcs-2759	89	38	4	4	NUM
bitcs-2759	89	39	]	]	PUNCT
bitcs-2759	89	40	.	.	PUNCT
bitcs-2759	90	1	in	in	ADP
bitcs-2759	90	2	addition	addition	NOUN
bitcs-2759	90	3	,	,	PUNCT
bitcs-2759	90	4	it	it	PRON
bitcs-2759	90	5	can	can	AUX
bitcs-2759	90	6	recognize	recognize	VERB
bitcs-2759	90	7	a	a	DET
bitcs-2759	90	8	face	face	NOUN
bitcs-2759	90	9	even	even	ADV
bitcs-2759	90	10	when	when	SCONJ
bitcs-2759	90	11	it	it	PRON
bitcs-2759	90	12	is	be	AUX
bitcs-2759	90	13	covered	cover	VERB
bitcs-2759	90	14	by	by	ADP
bitcs-2759	90	15	a	a	DET
bitcs-2759	90	16	mask	mask	NOUN
bitcs-2759	90	17	,	,	PUNCT
bitcs-2759	90	18	both	both	PRON
bitcs-2759	90	19	while	while	SCONJ
bitcs-2759	90	20	it	it	PRON
bitcs-2759	90	21	is	be	AUX
bitcs-2759	90	22	moving	move	VERB
bitcs-2759	90	23	and	and	CCONJ
bitcs-2759	90	24	while	while	SCONJ
bitcs-2759	90	25	it	it	PRON
bitcs-2759	90	26	is	be	AUX
bitcs-2759	90	27	being	be	AUX
bitcs-2759	90	28	seen	see	VERB
bitcs-2759	90	29	on	on	ADP
bitcs-2759	90	30	video	video	NOUN
bitcs-2759	90	31	[	[	X
bitcs-2759	90	32	21	21	NUM
bitcs-2759	90	33	,	,	PUNCT
bitcs-2759	90	34	22,30	22,30	NUM
bitcs-2759	90	35	]	]	PUNCT
bitcs-2759	90	36	,	,	PUNCT
bitcs-2759	90	37	and	and	CCONJ
bitcs-2759	90	38	[	[	X
bitcs-2759	90	39	23,29	23,29	NUM
bitcs-2759	90	40	]	]	PUNCT
bitcs-2759	90	41	.	.	PUNCT
bitcs-2759	91	1	the	the	DET
bitcs-2759	91	2	approach	approach	NOUN
bitcs-2759	91	3	attains	attain	VERB
bitcs-2759	91	4	high	high	ADJ
bitcs-2759	91	5	precision	precision	NOUN
bitcs-2759	91	6	.	.	PUNCT
bitcs-2759	92	1	to	to	PART
bitcs-2759	92	2	properly	properly	ADV
bitcs-2759	92	3	determine	determine	VERB
bitcs-2759	92	4	the	the	DET
bitcs-2759	92	5	presence	presence	NOUN
bitcs-2759	92	6	of	of	ADP
bitcs-2759	92	7	masks	mask	NOUN
bitcs-2759	92	8	and	and	CCONJ
bitcs-2759	92	9	avoid	avoid	VERB
bitcs-2759	92	10	producing	produce	VERB
bitcs-2759	92	11	overfitting	overfitting	NOUN
bitcs-2759	92	12	,	,	PUNCT
bitcs-2759	92	13	we	we	PRON
bitcs-2759	92	14	study	study	VERB
bitcs-2759	92	15	the	the	DET
bitcs-2759	92	16	ideal	ideal	ADJ
bitcs-2759	92	17	parameter	parameter	NOUN
bitcs-2759	92	18	values	value	NOUN
bitcs-2759	92	19	for	for	ADP
bitcs-2759	92	20	the	the	DET
bitcs-2759	92	21	convolutional	convolutional	ADJ
bitcs-2759	92	22	neural	neural	ADJ
bitcs-2759	92	23	network	network	NOUN
bitcs-2759	92	24	model	model	NOUN
bitcs-2759	92	25	(	(	PUNCT
bitcs-2759	92	26	cnn	cnn	PROPN
bitcs-2759	92	27	)	)	PUNCT
bitcs-2759	93	1	[	[	X
bitcs-2759	93	2	33	33	NUM
bitcs-2759	93	3	-	-	SYM
bitcs-2759	93	4	34	34	NUM
bitcs-2759	93	5	]	]	PUNCT
bitcs-2759	93	6	.	.	PUNCT
bitcs-2759	94	1	3	3	X
bitcs-2759	94	2	.	.	X
bitcs-2759	94	3	materials	material	NOUN
bitcs-2759	94	4	and	and	CCONJ
bitcs-2759	94	5	method	method	NOUN
bitcs-2759	94	6	because	because	SCONJ
bitcs-2759	94	7	lsvm	lsvm	ADJ
bitcs-2759	94	8	is	be	AUX
bitcs-2759	94	9	very	very	ADV
bitcs-2759	94	10	fast	fast	ADV
bitcs-2759	94	11	,	,	PUNCT
bitcs-2759	94	12	we	we	PRON
bitcs-2759	94	13	utilized	utilize	VERB
bitcs-2759	94	14	linear	linear	ADJ
bitcs-2759	94	15	svm	svm	NOUN
bitcs-2759	94	16	with	with	ADP
bitcs-2759	94	17	non	non	ADJ
bitcs-2759	94	18	-	-	ADJ
bitcs-2759	94	19	linear	linear	ADJ
bitcs-2759	94	20	x2	x2	PROPN
bitcs-2759	94	21	-	-	PUNCT
bitcs-2759	94	22	kernel	kernel	NOUN
bitcs-2759	94	23	to	to	PART
bitcs-2759	94	24	train	train	VERB
bitcs-2759	94	25	the	the	DET
bitcs-2759	94	26	model	model	NOUN
bitcs-2759	94	27	.	.	PUNCT
bitcs-2759	95	1	to	to	PART
bitcs-2759	95	2	achieve	achieve	VERB
bitcs-2759	95	3	a	a	DET
bitcs-2759	95	4	balance	balance	NOUN
bitcs-2759	95	5	,	,	PUNCT
bitcs-2759	95	6	we	we	PRON
bitcs-2759	95	7	use	use	VERB
bitcs-2759	95	8	the	the	DET
bitcs-2759	95	9	homogeneous	homogeneous	ADJ
bitcs-2759	95	10	kernel	kernel	PROPN
bitcs-2759	95	11	map	map	NOUN
bitcs-2759	95	12	,	,	PUNCT
bitcs-2759	95	13	which	which	PRON
bitcs-2759	95	14	estimates	estimate	VERB
bitcs-2759	95	15	explicit	explicit	ADJ
bitcs-2759	95	16	feature	feature	NOUN
bitcs-2759	95	17	mappings	mapping	NOUN
bitcs-2759	95	18	to	to	PART
bitcs-2759	95	19	approximate	approximate	VERB
bitcs-2759	95	20	the	the	DET
bitcs-2759	95	21	homogeneous	homogeneous	ADJ
bitcs-2759	95	22	additive	additive	ADJ
bitcs-2759	95	23	kernels	kernel	NOUN
bitcs-2759	95	24	,	,	PUNCT
bitcs-2759	95	25	to	to	PART
bitcs-2759	95	26	compute	compute	VERB
bitcs-2759	95	27	a	a	DET
bitcs-2759	95	28	linear	linear	ADJ
bitcs-2759	95	29	approximation	approximation	NOUN
bitcs-2759	95	30	to	to	ADP
bitcs-2759	95	31	x2	x2	PROPN
bitcs-2759	95	32	kernel	kernel	PROPN
bitcs-2759	96	1	[	[	X
bitcs-2759	96	2	32	32	NUM
bitcs-2759	96	3	]	]	PUNCT
bitcs-2759	96	4	.	.	PUNCT
bitcs-2759	97	1	the	the	DET
bitcs-2759	97	2	proposed	propose	VERB
bitcs-2759	97	3	model	model	NOUN
bitcs-2759	97	4	efficiently	efficiently	ADV
bitcs-2759	97	5	resolves	resolve	VERB
bitcs-2759	97	6	the	the	DET
bitcs-2759	97	7	problem	problem	NOUN
bitcs-2759	97	8	and	and	CCONJ
bitcs-2759	97	9	accurately	accurately	ADV
bitcs-2759	97	10	recognizes	recognize	VERB
bitcs-2759	97	11	the	the	DET
bitcs-2759	97	12	faces	face	NOUN
bitcs-2759	97	13	.	.	PUNCT
bitcs-2759	98	1	in	in	ADP
bitcs-2759	98	2	the	the	DET
bitcs-2759	98	3	detection	detection	NOUN
bitcs-2759	98	4	,	,	PUNCT
bitcs-2759	98	5	the	the	DET
bitcs-2759	98	6	process	process	NOUN
bitcs-2759	98	7	algorithm	algorithm	NOUN
bitcs-2759	98	8	collects	collect	VERB
bitcs-2759	98	9	all	all	DET
bitcs-2759	98	10	features	feature	NOUN
bitcs-2759	98	11	of	of	ADP
bitcs-2759	98	12	video	video	NOUN
bitcs-2759	98	13	frames	frame	NOUN
bitcs-2759	98	14	.	.	PUNCT
bitcs-2759	99	1	in	in	ADP
bitcs-2759	99	2	the	the	DET
bitcs-2759	99	3	next	next	ADJ
bitcs-2759	99	4	step	step	NOUN
bitcs-2759	99	5	,	,	PUNCT
bitcs-2759	99	6	the	the	DET
bitcs-2759	99	7	layering	layering	NOUN
bitcs-2759	99	8	process	process	NOUN
bitcs-2759	99	9	started	start	VERB
bitcs-2759	99	10	where	where	SCONJ
bitcs-2759	99	11	all	all	DET
bitcs-2759	99	12	features	feature	NOUN
bitcs-2759	99	13	are	be	AUX
bitcs-2759	99	14	combined	combine	VERB
bitcs-2759	99	15	and	and	CCONJ
bitcs-2759	99	16	sent	send	VERB
bitcs-2759	99	17	for	for	ADP
bitcs-2759	99	18	the	the	DET
bitcs-2759	99	19	prediction	prediction	NOUN
bitcs-2759	99	20	.	.	PUNCT
bitcs-2759	100	1	in	in	ADP
bitcs-2759	100	2	the	the	DET
bitcs-2759	100	3	last	last	ADJ
bitcs-2759	100	4	step	step	NOUN
bitcs-2759	100	5	,	,	PUNCT
bitcs-2759	100	6	the	the	DET
bitcs-2759	100	7	prediction	prediction	NOUN
bitcs-2759	100	8	step	step	NOUN
bitcs-2759	100	9	is	be	AUX
bitcs-2759	100	10	taken	take	VERB
bitcs-2759	100	11	where	where	SCONJ
bitcs-2759	100	12	all	all	DET
bitcs-2759	100	13	features	feature	NOUN
bitcs-2759	100	14	are	be	AUX
bitcs-2759	100	15	gathered	gather	VERB
bitcs-2759	100	16	from	from	ADP
bitcs-2759	100	17	in	in	ADP
bitcs-2759	100	18	this	this	DET
bitcs-2759	100	19	section	section	NOUN
bitcs-2759	100	20	,	,	PUNCT
bitcs-2759	100	21	we	we	PRON
bitcs-2759	100	22	discuss	discuss	VERB
bitcs-2759	100	23	materials	material	NOUN
bitcs-2759	100	24	and	and	CCONJ
bitcs-2759	100	25	implementation	implementation	NOUN
bitcs-2759	100	26	used	use	VERB
bitcs-2759	100	27	for	for	ADP
bitcs-2759	100	28	facemask	facemask	ADJ
bitcs-2759	100	29	detection	detection	NOUN
bitcs-2759	100	30	on	on	ADP
bitcs-2759	100	31	gates	gate	NOUN
bitcs-2759	100	32	.	.	PUNCT
bitcs-2759	101	1	our	our	PRON
bitcs-2759	101	2	proposed	propose	VERB
bitcs-2759	101	3	method	method	NOUN
bitcs-2759	101	4	consists	consist	VERB
bitcs-2759	101	5	of	of	ADP
bitcs-2759	101	6	four	four	NUM
bitcs-2759	101	7	major	major	ADJ
bitcs-2759	101	8	steps	step	NOUN
bitcs-2759	101	9	that	that	PRON
bitcs-2759	101	10	are	be	AUX
bitcs-2759	101	11	:	:	PUNCT
bitcs-2759	101	12	(	(	PUNCT
bitcs-2759	101	13	i	i	NOUN
bitcs-2759	101	14	)	)	PUNCT
bitcs-2759	101	15	object	object	VERB
bitcs-2759	101	16	detection	detection	NOUN
bitcs-2759	101	17	(	(	PUNCT
bitcs-2759	101	18	ii	ii	NOUN
bitcs-2759	101	19	)	)	PUNCT
bitcs-2759	101	20	object	object	NOUN
bitcs-2759	101	21	localization	localization	NOUN
bitcs-2759	101	22	(	(	PUNCT
bitcs-2759	101	23	iii	iii	NOUN
bitcs-2759	101	24	)	)	PUNCT
bitcs-2759	101	25	objectness	objectness	NOUN
bitcs-2759	101	26	+	+	CCONJ
bitcs-2759	101	27	box	box	PROPN
bitcs-2759	101	28	(	(	PUNCT
bitcs-2759	101	29	iv	iv	NOUN
bitcs-2759	101	30	)	)	PUNCT
bitcs-2759	101	31	classification	classification	NOUN
bitcs-2759	101	32	and	and	CCONJ
bitcs-2759	101	33	confidence	confidence	NOUN
bitcs-2759	101	34	score	score	NOUN
bitcs-2759	101	35	.	.	PUNCT
bitcs-2759	102	1	we	we	PRON
bitcs-2759	102	2	first	first	ADV
bitcs-2759	102	3	use	use	VERB
bitcs-2759	102	4	a	a	DET
bitcs-2759	102	5	detector	detector	NOUN
bitcs-2759	102	6	to	to	PART
bitcs-2759	102	7	extract	extract	VERB
bitcs-2759	102	8	roi	roi	NOUN
bitcs-2759	102	9	and	and	CCONJ
bitcs-2759	102	10	divide	divide	NOUN
bitcs-2759	102	11	inputs	input	NOUN
bitcs-2759	102	12	into	into	ADP
bitcs-2759	102	13	two	two	NUM
bitcs-2759	102	14	parts	part	NOUN
bitcs-2759	102	15	:	:	PUNCT
bitcs-2759	102	16	the	the	DET
bitcs-2759	102	17	object	object	NOUN
bitcs-2759	102	18	region	region	NOUN
bitcs-2759	102	19	,	,	PUNCT
bitcs-2759	102	20	which	which	PRON
bitcs-2759	102	21	is	be	AUX
bitcs-2759	102	22	crucial	crucial	ADJ
bitcs-2759	102	23	,	,	PUNCT
bitcs-2759	102	24	and	and	CCONJ
bitcs-2759	102	25	the	the	DET
bitcs-2759	102	26	context	context	NOUN
bitcs-2759	102	27	region	region	NOUN
bitcs-2759	102	28	,	,	PUNCT
bitcs-2759	102	29	which	which	PRON
bitcs-2759	102	30	is	be	AUX
bitcs-2759	102	31	secondary	secondary	ADJ
bitcs-2759	102	32	.	.	PUNCT
bitcs-2759	103	1	the	the	DET
bitcs-2759	103	2	roi	roi	NOUN
bitcs-2759	103	3	score	score	NOUN
bitcs-2759	103	4	is	be	AUX
bitcs-2759	103	5	used	use	VERB
bitcs-2759	103	6	to	to	PART
bitcs-2759	103	7	restore	restore	VERB
bitcs-2759	103	8	the	the	DET
bitcs-2759	103	9	classification	classification	NOUN
bitcs-2759	103	10	outcome	outcome	NOUN
bitcs-2759	103	11	.	.	PUNCT
bitcs-2759	104	1	finally	finally	ADV
bitcs-2759	104	2	,	,	PUNCT
bitcs-2759	104	3	we	we	PRON
bitcs-2759	104	4	do	do	VERB
bitcs-2759	104	5	classification	classification	NOUN
bitcs-2759	104	6	with	with	ADP
bitcs-2759	104	7	a	a	DET
bitcs-2759	104	8	confidence	confidence	NOUN
bitcs-2759	104	9	score	score	NOUN
bitcs-2759	104	10	.	.	PUNCT
bitcs-2759	105	1	the	the	DET
bitcs-2759	105	2	detailed	detailed	ADJ
bitcs-2759	105	3	proposed	propose	VERB
bitcs-2759	105	4	flow	flow	NOUN
bitcs-2759	105	5	is	be	AUX
bitcs-2759	105	6	shown	show	VERB
bitcs-2759	105	7	in	in	ADP
bitcs-2759	105	8	figure	figure	NOUN
bitcs-2759	105	9	2	2	NUM
bitcs-2759	105	10	.	.	PUNCT
bitcs-2759	105	11	figure	figure	NOUN
bitcs-2759	105	12	2	2	NUM
bitcs-2759	105	13	:	:	PUNCT
bitcs-2759	105	14	proposed	propose	VERB
bitcs-2759	105	15	model	model	NOUN
bitcs-2759	105	16	for	for	ADP
bitcs-2759	105	17	facemask	facemask	ADJ
bitcs-2759	105	18	detection	detection	NOUN
bitcs-2759	105	19	and	and	CCONJ
bitcs-2759	105	20	classification	classification	NOUN
bitcs-2759	105	21	.	.	PUNCT
bitcs-2759	106	1	to	to	PART
bitcs-2759	106	2	recognize	recognize	VERB
bitcs-2759	106	3	the	the	DET
bitcs-2759	106	4	faces	face	NOUN
bitcs-2759	106	5	,	,	PUNCT
bitcs-2759	106	6	we	we	PRON
bitcs-2759	106	7	employed	employ	VERB
bitcs-2759	106	8	the	the	DET
bitcs-2759	106	9	viola	viola	PROPN
bitcs-2759	106	10	-	-	PUNCT
bitcs-2759	106	11	jones	jones	PROPN
bitcs-2759	106	12	algorithm	algorithm	PROPN
bitcs-2759	106	13	.	.	PUNCT
bitcs-2759	107	1	the	the	DET
bitcs-2759	107	2	three	three	NUM
bitcs-2759	107	3	strategies	strategy	NOUN
bitcs-2759	107	4	employed	employ	VERB
bitcs-2759	107	5	by	by	ADP
bitcs-2759	107	6	[	[	X
bitcs-2759	107	7	14	14	NUM
bitcs-2759	107	8	]	]	PUNCT
bitcs-2759	107	9	are	be	AUX
bitcs-2759	107	10	as	as	SCONJ
bitcs-2759	107	11	follows	follow	NOUN
bitcs-2759	107	12	:	:	PUNCT
bitcs-2759	107	13	cascade	cascade	NOUN
bitcs-2759	107	14	,	,	PUNCT
bitcs-2759	107	15	integral	integral	ADJ
bitcs-2759	107	16	image	image	NOUN
bitcs-2759	107	17	(	(	PUNCT
bitcs-2759	107	18	representation	representation	NOUN
bitcs-2759	107	19	)	)	PUNCT
bitcs-2759	107	20	,	,	PUNCT
bitcs-2759	107	21	and	and	CCONJ
bitcs-2759	107	22	adaboost	adaboost	ADV
bitcs-2759	107	23	(	(	PUNCT
bitcs-2759	107	24	classifier	classifier	NOUN
bitcs-2759	107	25	)	)	PUNCT
bitcs-2759	107	26	.	.	PUNCT
bitcs-2759	108	1	several	several	ADJ
bitcs-2759	108	2	pixel	pixel	ADJ
bitcs-2759	108	3	-	-	ADJ
bitcs-2759	108	4	wise	wise	ADJ
bitcs-2759	108	5	operations	operation	NOUN
bitcs-2759	108	6	are	be	AUX
bitcs-2759	108	7	used	use	VERB
bitcs-2759	108	8	to	to	PART
bitcs-2759	108	9	compute	compute	VERB
bitcs-2759	108	10	the	the	DET
bitcs-2759	108	11	integral	integral	ADJ
bitcs-2759	108	12	frame	frame	NOUN
bitcs-2759	108	13	.	.	PUNCT
bitcs-2759	109	1	we	we	PRON
bitcs-2759	109	2	used	use	VERB
bitcs-2759	109	3	equation	equation	NOUN
bitcs-2759	109	4	1	1	NUM
bitcs-2759	109	5	to	to	PART
bitcs-2759	109	6	calculate	calculate	VERB
bitcs-2759	109	7	the	the	DET
bitcs-2759	109	8	sum	sum	NOUN
bitcs-2759	109	9	of	of	ADP
bitcs-2759	109	10	the	the	DET
bitcs-2759	109	11	left	left	ADJ
bitcs-2759	109	12	and	and	CCONJ
bitcs-2759	109	13	top	top	ADJ
bitcs-2759	109	14	pixels	pixel	NOUN
bitcs-2759	109	15	of	of	ADP
bitcs-2759	109	16	the	the	DET
bitcs-2759	109	17	impacted	impacted	ADJ
bitcs-2759	109	18	pixel	pixel	NOUN
bitcs-2759	109	19	,	,	PUNCT
bitcs-2759	109	20	and	and	CCONJ
bitcs-2759	109	21	the	the	DET
bitcs-2759	109	22	integral	integral	ADJ
bitcs-2759	109	23	image	image	NOUN
bitcs-2759	109	24	is	be	AUX
bitcs-2759	109	25	calculated	calculate	VERB
bitcs-2759	109	26	.	.	PUNCT
bitcs-2759	110	1	𝖯(𝑥′	𝖯(𝑥′	PROPN
bitcs-2759	110	2	,	,	PUNCT
bitcs-2759	110	3	𝑦′	𝑦′	NOUN
bitcs-2759	110	4	)	)	PUNCT
bitcs-2759	110	5	=	=	SYM
bitcs-2759	110	6	∑	∑	PUNCT
bitcs-2759	110	7	𝐼(𝑥	𝐼(𝑥	PROPN
bitcs-2759	110	8	,	,	PUNCT
bitcs-2759	110	9	𝑦	𝑦	NOUN
bitcs-2759	110	10	)	)	PUNCT
bitcs-2759	110	11	𝑤ℎ𝑒𝑟𝑒𝑥′	𝑤ℎ𝑒𝑟𝑒𝑥′	X
bitcs-2759	110	12	≥	≥	X
bitcs-2759	110	13	𝑥𝑎𝑛𝑑𝑦′	𝑥𝑎𝑛𝑑𝑦′	X
bitcs-2759	111	1	≥	≥	PROPN
bitcs-2759	111	2	𝑦	𝑦	PROPN
bitcs-2759	111	3	(	(	PUNCT
bitcs-2759	111	4	1	1	NUM
bitcs-2759	111	5	)	)	PUNCT
bitcs-2759	111	6	the	the	DET
bitcs-2759	111	7	interest	interest	NOUN
bitcs-2759	111	8	rio	rio	PROPN
bitcs-2759	111	9	locations	location	NOUN
bitcs-2759	111	10	are	be	AUX
bitcs-2759	111	11	found	find	VERB
bitcs-2759	111	12	using	use	VERB
bitcs-2759	111	13	hessian	hessian	ADJ
bitcs-2759	111	14	matrix	matrix	NOUN
bitcs-2759	111	15	approximation	approximation	NOUN
bitcs-2759	111	16	.	.	PUNCT
bitcs-2759	112	1	rio	rio	NOUN
bitcs-2759	112	2	is	be	AUX
bitcs-2759	112	3	determined	determine	VERB
bitcs-2759	112	4	using	use	VERB
bitcs-2759	112	5	equation	equation	NOUN
bitcs-2759	112	6	3	3	NUM
bitcs-2759	112	7	.	.	PUNCT
bitcs-2759	113	1	𝛽(i	𝛽(i	NOUN
bitcs-2759	113	2	,	,	PUNCT
bitcs-2759	113	3	𝛼	𝛼	NOUN
bitcs-2759	113	4	)	)	PUNCT
bitcs-2759	113	5	=	=	SYM
bitcs-2759	113	6	[	[	PUNCT
bitcs-2759	113	7	cxx(i	cxx(i	PROPN
bitcs-2759	113	8	,	,	PUNCT
bitcs-2759	113	9	𝛼	𝛼	NOUN
bitcs-2759	113	10	)	)	PUNCT
bitcs-2759	113	11	cxy(i	cxy(i	PROPN
bitcs-2759	113	12	,	,	PUNCT
bitcs-2759	113	13	𝛼	𝛼	NOUN
bitcs-2759	113	14	)	)	PUNCT
bitcs-2759	113	15	]	]	PUNCT
bitcs-2759	113	16	cxy(i	cxy(i	PROPN
bitcs-2759	113	17	,	,	PUNCT
bitcs-2759	113	18	𝛼	𝛼	NOUN
bitcs-2759	113	19	)	)	PUNCT
bitcs-2759	113	20	cyy(i	cyy(i	PROPN
bitcs-2759	113	21	,	,	PUNCT
bitcs-2759	113	22	𝛼	𝛼	NOUN
bitcs-2759	113	23	)	)	PUNCT
bitcs-2759	113	24	(	(	PUNCT
bitcs-2759	113	25	2	2	X
bitcs-2759	113	26	)	)	PUNCT
bitcs-2759	113	27	where	where	SCONJ
bitcs-2759	113	28	cxx(i	cxx(i	PROPN
bitcs-2759	113	29	,	,	PUNCT
bitcs-2759	113	30	𝛼	𝛼	NOUN
bitcs-2759	113	31	)	)	PUNCT
bitcs-2759	113	32	,	,	PUNCT
bitcs-2759	113	33	cxy(i	cxy(i	PROPN
bitcs-2759	113	34	,	,	PUNCT
bitcs-2759	113	35	𝛼	𝛼	NOUN
bitcs-2759	113	36	)	)	PUNCT
bitcs-2759	113	37	,	,	PUNCT
bitcs-2759	113	38	cyy(i	cyy(i	PROPN
bitcs-2759	113	39	,	,	PUNCT
bitcs-2759	113	40	𝛼	𝛼	NOUN
bitcs-2759	113	41	)	)	PUNCT
bitcs-2759	113	42	are	be	AUX
bitcs-2759	113	43	gaussian	gaussian	ADJ
bitcs-2759	113	44	convolution	convolution	NOUN
bitcs-2759	113	45	of	of	ADP
bitcs-2759	113	46	second	second	ADJ
bitcs-2759	113	47	order	order	NOUN
bitcs-2759	113	48	derivative	derivative	NOUN
bitcs-2759	113	49	.	.	PUNCT
bitcs-2759	114	1	by	by	ADP
bitcs-2759	114	2	forming	form	VERB
bitcs-2759	114	3	a	a	DET
bitcs-2759	114	4	rectangle	rectangle	NOUN
bitcs-2759	114	5	region	region	NOUN
bitcs-2759	114	6	around	around	ADP
bitcs-2759	114	7	the	the	DET
bitcs-2759	114	8	interest	interest	NOUN
bitcs-2759	114	9	locations	location	NOUN
bitcs-2759	114	10	,	,	PUNCT
bitcs-2759	114	11	the	the	DET
bitcs-2759	114	12	descriptor	descriptor	NOUN
bitcs-2759	114	13	is	be	AUX
bitcs-2759	114	14	extracted	extract	VERB
bitcs-2759	114	15	.	.	PUNCT
bitcs-2759	115	1	before	before	ADP
bitcs-2759	115	2	computing	compute	VERB
bitcs-2759	115	3	the	the	DET
bitcs-2759	115	4	haar	haar	PROPN
bitcs-2759	115	5	wavelet	wavelet	NOUN
bitcs-2759	115	6	,	,	PUNCT
bitcs-2759	115	7	the	the	DET
bitcs-2759	115	8	region	region	NOUN
bitcs-2759	115	9	is	be	AUX
bitcs-2759	115	10	partitioned	partition	VERB
bitcs-2759	115	11	into	into	ADP
bitcs-2759	115	12	smaller	small	ADJ
bitcs-2759	115	13	subregions	subregion	NOUN
bitcs-2759	115	14	.	.	PUNCT
bitcs-2759	116	1	we	we	PRON
bitcs-2759	116	2	increase	increase	VERB
bitcs-2759	116	3	the	the	DET
bitcs-2759	116	4	size	size	NOUN
bitcs-2759	116	5	of	of	ADP
bitcs-2759	116	6	the	the	DET
bitcs-2759	116	7	object	object	NOUN
bitcs-2759	116	8	bounding	bound	VERB
bitcs-2759	116	9	box	box	NOUN
bitcs-2759	116	10	by	by	ADP
bitcs-2759	116	11	a	a	DET
bitcs-2759	116	12	factor	factor	NOUN
bitcs-2759	116	13	of	of	ADP
bitcs-2759	116	14	1:1	1:1	NUM
bitcs-2759	116	15	while	while	SCONJ
bitcs-2759	116	16	maintaining	maintain	VERB
bitcs-2759	116	17	the	the	DET
bitcs-2759	116	18	bounding	bounding	NOUN
bitcs-2759	116	19	box	box	NOUN
bitcs-2759	116	20	's	's	PART
bitcs-2759	116	21	center	center	NOUN
bitcs-2759	116	22	the	the	DET
bitcs-2759	116	23	same	same	ADJ
bitcs-2759	116	24	.	.	PUNCT
bitcs-2759	117	1	the	the	DET
bitcs-2759	117	2	obtained	obtain	VERB
bitcs-2759	117	3	result	result	NOUN
bitcs-2759	117	4	illustrates	illustrate	VERB
bitcs-2759	117	5	that	that	SCONJ
bitcs-2759	117	6	increasing	increase	VERB
bitcs-2759	117	7	the	the	DET
bitcs-2759	117	8	bounding	bounding	NOUN
bitcs-2759	117	9	box	box	NOUN
bitcs-2759	117	10	size	size	NOUN
bitcs-2759	117	11	can	can	AUX
bitcs-2759	117	12	increase	increase	VERB
bitcs-2759	117	13	classification	classification	NOUN
bitcs-2759	117	14	performance	performance	NOUN
bitcs-2759	117	15	.	.	PUNCT
bitcs-2759	118	1	the	the	DET
bitcs-2759	118	2	image	image	NOUN
bitcs-2759	118	3	and	and	CCONJ
bitcs-2759	118	4	performed	perform	VERB
bitcs-2759	118	5	the	the	DET
bitcs-2759	118	6	prediction	prediction	NOUN
bitcs-2759	118	7	as	as	SCONJ
bitcs-2759	118	8	shown	show	VERB
bitcs-2759	118	9	in	in	ADP
bitcs-2759	118	10	figure	figure	NOUN
bitcs-2759	118	11	3	3	NUM
bitcs-2759	118	12	.	.	PUNCT
bitcs-2759	118	13	figure	figure	VERB
bitcs-2759	118	14	3	3	NUM
bitcs-2759	118	15	:	:	PUNCT
bitcs-2759	118	16	model	model	NOUN
bitcs-2759	118	17	structure	structure	NOUN
bitcs-2759	118	18	of	of	ADP
bitcs-2759	118	19	yolo	yolo	PROPN
bitcs-2759	118	20	v5[10	v5[10	PROPN
bitcs-2759	118	21	]	]	PUNCT
bitcs-2759	118	22	the	the	DET
bitcs-2759	118	23	model	model	NOUN
bitcs-2759	118	24	is	be	AUX
bitcs-2759	118	25	exploited	exploit	VERB
bitcs-2759	118	26	with	with	ADP
bitcs-2759	118	27	fine	fine	ADV
bitcs-2759	118	28	-	-	PUNCT
bitcs-2759	118	29	tuned	tune	VERB
bitcs-2759	118	30	parameters	parameter	NOUN
bitcs-2759	118	31	.	.	PUNCT
bitcs-2759	119	1	yolo	yolo	PROPN
bitcs-2759	119	2	v5	v5	PROPN
bitcs-2759	119	3	is	be	AUX
bitcs-2759	119	4	used	use	VERB
bitcs-2759	119	5	to	to	PART
bitcs-2759	119	6	classify	classify	VERB
bitcs-2759	119	7	face	face	NOUN
bitcs-2759	119	8	recognition	recognition	NOUN
bitcs-2759	119	9	into	into	ADP
bitcs-2759	119	10	with	with	ADP
bitcs-2759	119	11	and	and	CCONJ
bitcs-2759	119	12	without	without	ADP
bitcs-2759	119	13	masks	mask	NOUN
bitcs-2759	119	14	,	,	PUNCT
bitcs-2759	119	15	as	as	SCONJ
bitcs-2759	119	16	shown	show	VERB
bitcs-2759	119	17	in	in	ADP
bitcs-2759	119	18	figures	figure	NOUN
bitcs-2759	119	19	4	4	NUM
bitcs-2759	120	1	[	[	SYM
bitcs-2759	120	2	24	24	NUM
bitcs-2759	120	3	26	26	NUM
bitcs-2759	120	4	]	]	PUNCT
bitcs-2759	120	5	.	.	PUNCT
bitcs-2759	121	1	the	the	DET
bitcs-2759	121	2	dataset	dataset	NOUN
bitcs-2759	121	3	is	be	AUX
bitcs-2759	121	4	split	split	VERB
bitcs-2759	121	5	into	into	ADP
bitcs-2759	121	6	80	80	NUM
bitcs-2759	121	7	%	%	NOUN
bitcs-2759	121	8	training	training	NOUN
bitcs-2759	121	9	and	and	CCONJ
bitcs-2759	121	10	20	20	NUM
bitcs-2759	121	11	%	%	NOUN
bitcs-2759	121	12	testing	testing	NOUN
bitcs-2759	121	13	sets	set	NOUN
bitcs-2759	121	14	and	and	CCONJ
bitcs-2759	121	15	classes	class	NOUN
bitcs-2759	121	16	are	be	AUX
bitcs-2759	121	17	with	with	ADP
bitcs-2759	121	18	masks	mask	NOUN
bitcs-2759	121	19	and	and	CCONJ
bitcs-2759	121	20	without	without	ADP
bitcs-2759	121	21	a	a	DET
bitcs-2759	121	22	mask	mask	NOUN
bitcs-2759	121	23	.	.	PUNCT
bitcs-2759	122	1	moreover	moreover	ADV
bitcs-2759	122	2	,	,	PUNCT
bitcs-2759	122	3	the	the	DET
bitcs-2759	122	4	300	300	NUM
bitcs-2759	122	5	images	image	NOUN
bitcs-2759	122	6	are	be	AUX
bitcs-2759	122	7	from	from	ADP
bitcs-2759	122	8	class	class	NOUN
bitcs-2759	122	9	1	1	NUM
bitcs-2759	122	10	which	which	PRON
bitcs-2759	122	11	is	be	AUX
bitcs-2759	122	12	with	with	ADP
bitcs-2759	122	13	a	a	DET
bitcs-2759	122	14	mask	mask	NOUN
bitcs-2759	122	15	,	,	PUNCT
bitcs-2759	122	16	and	and	CCONJ
bitcs-2759	122	17	450	450	NUM
bitcs-2759	122	18	without	without	ADP
bitcs-2759	122	19	a	a	DET
bitcs-2759	122	20	mask	mask	NOUN
bitcs-2759	122	21	after	after	SCONJ
bitcs-2759	122	22	that	that	DET
bitcs-2759	122	23	images	image	NOUN
bitcs-2759	122	24	are	be	AUX
bitcs-2759	122	25	augmented	augment	VERB
bitcs-2759	122	26	using	use	VERB
bitcs-2759	122	27	the	the	DET
bitcs-2759	122	28	technique	technique	NOUN
bitcs-2759	122	29	of	of	ADP
bitcs-2759	122	30	rotation	rotation	NOUN
bitcs-2759	122	31	,	,	PUNCT
bitcs-2759	122	32	translation	translation	NOUN
bitcs-2759	122	33	,	,	PUNCT
bitcs-2759	122	34	and	and	CCONJ
bitcs-2759	122	35	scaling	scale	VERB
bitcs-2759	122	36	to	to	PART
bitcs-2759	122	37	get	get	VERB
bitcs-2759	122	38	more	more	ADJ
bitcs-2759	122	39	images	image	NOUN
bitcs-2759	122	40	and	and	CCONJ
bitcs-2759	122	41	overall	overall	ADJ
bitcs-2759	122	42	images	image	NOUN
bitcs-2759	122	43	become	become	VERB
bitcs-2759	122	44	1200	1200	NUM
bitcs-2759	122	45	for	for	ADP
bitcs-2759	122	46	with	with	ADP
bitcs-2759	122	47	mask	mask	NOUN
bitcs-2759	122	48	and	and	CCONJ
bitcs-2759	122	49	1350	1350	NUM
bitcs-2759	122	50	without	without	ADP
bitcs-2759	122	51	a	a	DET
bitcs-2759	122	52	mask	mask	NOUN
bitcs-2759	122	53	.	.	PUNCT
bitcs-2759	123	1	furthermore	furthermore	ADV
bitcs-2759	123	2	,	,	PUNCT
bitcs-2759	123	3	we	we	PRON
bitcs-2759	123	4	used	use	VERB
bitcs-2759	123	5	yolo	yolo	ADJ
bitcs-2759	123	6	fine	fine	ADJ
bitcs-2759	123	7	tuned	tune	VERB
bitcs-2759	123	8	algorithm	algorithm	NOUN
bitcs-2759	123	9	with	with	ADP
bitcs-2759	123	10	change	change	NOUN
bitcs-2759	123	11	weights	weight	NOUN
bitcs-2759	123	12	as	as	ADV
bitcs-2759	123	13	well	well	ADV
bitcs-2759	123	14	as	as	ADP
bitcs-2759	123	15	activation	activation	NOUN
bitcs-2759	123	16	function	function	NOUN
bitcs-2759	123	17	.	.	PUNCT
bitcs-2759	124	1	figure	figure	VERB
bitcs-2759	124	2	4	4	NUM
bitcs-2759	124	3	:	:	PUNCT
bitcs-2759	124	4	facemask	facemask	ADJ
bitcs-2759	124	5	detection	detection	NOUN
bitcs-2759	124	6	4	4	NUM
bitcs-2759	124	7	.	.	NOUN
bitcs-2759	124	8	results	result	NOUN
bitcs-2759	124	9	and	and	CCONJ
bitcs-2759	124	10	discussion	discussion	NOUN
bitcs-2759	124	11	:	:	PUNCT
bitcs-2759	124	12	in	in	ADP
bitcs-2759	124	13	this	this	DET
bitcs-2759	124	14	section	section	NOUN
bitcs-2759	124	15	,	,	PUNCT
bitcs-2759	124	16	we	we	PRON
bitcs-2759	124	17	discuss	discuss	VERB
bitcs-2759	124	18	the	the	DET
bitcs-2759	124	19	steps	step	NOUN
bitcs-2759	124	20	and	and	CCONJ
bitcs-2759	124	21	parameters	parameter	NOUN
bitcs-2759	124	22	that	that	PRON
bitcs-2759	124	23	were	be	AUX
bitcs-2759	124	24	employed	employ	VERB
bitcs-2759	124	25	during	during	ADP
bitcs-2759	124	26	the	the	DET
bitcs-2759	124	27	computation	computation	NOUN
bitcs-2759	124	28	of	of	ADP
bitcs-2759	124	29	results	result	NOUN
bitcs-2759	124	30	.	.	PUNCT
bitcs-2759	125	1	in	in	ADP
bitcs-2759	125	2	the	the	DET
bitcs-2759	125	3	facemask	facemask	ADJ
bitcs-2759	125	4	detection	detection	NOUN
bitcs-2759	125	5	process	process	NOUN
bitcs-2759	125	6	,	,	PUNCT
bitcs-2759	125	7	we	we	PRON
bitcs-2759	125	8	tested	test	VERB
bitcs-2759	125	9	the	the	DET
bitcs-2759	125	10	proposed	propose	VERB
bitcs-2759	125	11	model	model	NOUN
bitcs-2759	125	12	.	.	PUNCT
bitcs-2759	126	1	during	during	ADP
bitcs-2759	126	2	testing	testing	NOUN
bitcs-2759	126	3	,	,	PUNCT
bitcs-2759	126	4	the	the	DET
bitcs-2759	126	5	proposed	propose	VERB
bitcs-2759	126	6	model	model	NOUN
bitcs-2759	126	7	accuracy	accuracy	NOUN
bitcs-2759	126	8	and	and	CCONJ
bitcs-2759	126	9	error	error	NOUN
bitcs-2759	126	10	rate	rate	NOUN
bitcs-2759	126	11	were	be	AUX
bitcs-2759	126	12	both	both	PRON
bitcs-2759	126	13	taken	take	VERB
bitcs-2759	126	14	into	into	ADP
bitcs-2759	126	15	account	account	NOUN
bitcs-2759	126	16	while	while	SCONJ
bitcs-2759	126	17	detecting	detect	VERB
bitcs-2759	126	18	fasemask	fasemask	NOUN
bitcs-2759	126	19	.	.	PUNCT
bitcs-2759	127	1	the	the	DET
bitcs-2759	127	2	result	result	NOUN
bitcs-2759	127	3	found	find	VERB
bitcs-2759	127	4	are	be	AUX
bitcs-2759	127	5	shown	show	VERB
bitcs-2759	127	6	in	in	ADP
bitcs-2759	127	7	figure	figure	NOUN
bitcs-2759	127	8	5	5	NUM
bitcs-2759	127	9	and	and	CCONJ
bitcs-2759	127	10	50	50	NUM
bitcs-2759	127	11	|	|	ADV
bitcs-2759	127	12	vol.3	vol.3	PROPN
bitcs-2759	127	13	no.2	no.2	PROPN
bitcs-2759	127	14	,	,	PUNCT
bitcs-2759	127	15	july	july	PROPN
bitcs-2759	127	16	2022	2022	NUM
bitcs-2759	127	17	figure	figure	NOUN
bitcs-2759	127	18	5	5	NUM
bitcs-2759	127	19	:	:	PUNCT
bitcs-2759	127	20	confusion	confusion	NOUN
bitcs-2759	127	21	matrix	matrix	NOUN
bitcs-2759	127	22	table	table	NOUN
bitcs-2759	127	23	1	1	NUM
bitcs-2759	127	24	confusion	confusion	NOUN
bitcs-2759	127	25	matrix	matrix	NOUN
bitcs-2759	127	26	figure	figure	NOUN
bitcs-2759	127	27	6	6	NUM
bitcs-2759	127	28	:	:	PUNCT
bitcs-2759	127	29	fasemask	fasemask	PROPN
bitcs-2759	127	30	detection	detection	NOUN
bitcs-2759	127	31	results	result	NOUN
bitcs-2759	127	32	we	we	PRON
bitcs-2759	127	33	used	use	VERB
bitcs-2759	127	34	the	the	DET
bitcs-2759	127	35	generalized	generalized	ADJ
bitcs-2759	127	36	intersection	intersection	NOUN
bitcs-2759	127	37	of	of	ADP
bitcs-2759	127	38	union	union	NOUN
bitcs-2759	127	39	(	(	PUNCT
bitcs-2759	127	40	giou	giou	NOUN
bitcs-2759	127	41	)	)	PUNCT
bitcs-2759	127	42	loss	loss	NOUN
bitcs-2759	127	43	function	function	NOUN
bitcs-2759	127	44	for	for	ADP
bitcs-2759	127	45	the	the	DET
bitcs-2759	127	46	yolo	yolo	ADJ
bitcs-2759	127	47	v5	v5	PROPN
bitcs-2759	127	48	.	.	PUNCT
bitcs-2759	128	1	the	the	DET
bitcs-2759	128	2	gıou	gıou	VERB
bitcs-2759	128	3	maximizes	maximize	VERB
bitcs-2759	128	4	the	the	DET
bitcs-2759	128	5	overlap	overlap	NOUN
bitcs-2759	128	6	area	area	NOUN
bitcs-2759	128	7	of	of	ADP
bitcs-2759	128	8	actual	actual	ADJ
bitcs-2759	128	9	and	and	CCONJ
bitcs-2759	128	10	predicted	predict	VERB
bitcs-2759	128	11	boundary	boundary	ADJ
bitcs-2759	128	12	boxes	box	NOUN
bitcs-2759	128	13	.	.	PUNCT
bitcs-2759	129	1	as	as	SCONJ
bitcs-2759	129	2	shown	show	VERB
bitcs-2759	129	3	in	in	ADP
bitcs-2759	129	4	figure	figure	NOUN
bitcs-2759	129	5	6	6	NUM
bitcs-2759	129	6	,	,	PUNCT
bitcs-2759	129	7	you	you	PRON
bitcs-2759	129	8	is	be	AUX
bitcs-2759	129	9	initially	initially	ADV
bitcs-2759	129	10	high	high	ADJ
bitcs-2759	129	11	at	at	ADP
bitcs-2759	129	12	the	the	DET
bitcs-2759	129	13	point	point	NOUN
bitcs-2759	129	14	of	of	ADP
bitcs-2759	129	15	prediction	prediction	NOUN
bitcs-2759	129	16	then	then	ADV
bitcs-2759	129	17	slowly	slowly	ADV
bitcs-2759	129	18	overlaps	overlap	VERB
bitcs-2759	129	19	with	with	ADP
bitcs-2759	129	20	the	the	DET
bitcs-2759	129	21	actual	actual	ADJ
bitcs-2759	129	22	value	value	NOUN
bitcs-2759	129	23	.	.	PUNCT
bitcs-2759	130	1	this	this	PRON
bitcs-2759	130	2	shows	show	VERB
bitcs-2759	130	3	that	that	SCONJ
bitcs-2759	130	4	you	you	PRON
bitcs-2759	130	5	gives	give	VERB
bitcs-2759	130	6	good	good	ADJ
bitcs-2759	130	7	results	result	NOUN
bitcs-2759	130	8	that	that	PRON
bitcs-2759	130	9	achieve	achieve	VERB
bitcs-2759	130	10	good	good	ADJ
bitcs-2759	130	11	precision	precision	NOUN
bitcs-2759	130	12	which	which	PRON
bitcs-2759	130	13	is	be	AUX
bitcs-2759	130	14	97	97	NUM
bitcs-2759	130	15	%	%	NOUN
bitcs-2759	130	16	.	.	PUNCT
bitcs-2759	131	1	the	the	DET
bitcs-2759	131	2	value	value	NOUN
bitcs-2759	131	3	you	you	PRON
bitcs-2759	131	4	are	be	AUX
bitcs-2759	131	5	used	use	VERB
bitcs-2759	131	6	for	for	ADP
bitcs-2759	131	7	training	training	NOUN
bitcs-2759	131	8	purpose	purpose	NOUN
bitcs-2759	131	9	,	,	PUNCT
bitcs-2759	131	10	this	this	DET
bitcs-2759	131	11	graph	graph	NOUN
bitcs-2759	131	12	shows	show	VERB
bitcs-2759	131	13	that	that	SCONJ
bitcs-2759	131	14	this	this	DET
bitcs-2759	131	15	loss	loss	NOUN
bitcs-2759	131	16	function	function	NOUN
bitcs-2759	131	17	maximizes	maximize	VERB
bitcs-2759	131	18	the	the	DET
bitcs-2759	131	19	overlap	overlap	NOUN
bitcs-2759	131	20	area	area	NOUN
bitcs-2759	131	21	of	of	ADP
bitcs-2759	131	22	ground	ground	NOUN
bitcs-2759	131	23	truth	truth	NOUN
bitcs-2759	131	24	and	and	CCONJ
bitcs-2759	131	25	predicted	predict	VERB
bitcs-2759	131	26	boxes	box	NOUN
bitcs-2759	131	27	as	as	SCONJ
bitcs-2759	131	28	shown	show	VERB
bitcs-2759	131	29	in	in	ADP
bitcs-2759	131	30	figure	figure	NOUN
bitcs-2759	131	31	4	4	NUM
bitcs-2759	131	32	.	.	PUNCT
bitcs-2759	132	1	these	these	DET
bitcs-2759	132	2	results	result	NOUN
bitcs-2759	132	3	show	show	VERB
bitcs-2759	132	4	that	that	SCONJ
bitcs-2759	132	5	yolo	yolo	ADJ
bitcs-2759	132	6	v5	v5	PROPN
bitcs-2759	132	7	accurately	accurately	ADV
bitcs-2759	132	8	classifies	classify	VERB
bitcs-2759	132	9	face	face	VERB
bitcs-2759	132	10	recognition	recognition	NOUN
bitcs-2759	132	11	with	with	ADP
bitcs-2759	132	12	and	and	CCONJ
bitcs-2759	132	13	without	without	ADP
bitcs-2759	132	14	masks	mask	NOUN
bitcs-2759	132	15	as	as	SCONJ
bitcs-2759	132	16	shown	show	VERB
bitcs-2759	132	17	in	in	ADP
bitcs-2759	132	18	table	table	NOUN
bitcs-2759	132	19	1	1	NUM
bitcs-2759	132	20	and	and	CCONJ
bitcs-2759	132	21	figure	figure	VERB
bitcs-2759	132	22	5	5	NUM
bitcs-2759	132	23	.	.	PUNCT
bitcs-2759	133	1	in	in	ADP
bitcs-2759	133	2	the	the	DET
bitcs-2759	133	3	ground	ground	NOUN
bitcs-2759	133	4	reality	reality	NOUN
bitcs-2759	133	5	,	,	PUNCT
bitcs-2759	133	6	there	there	PRON
bitcs-2759	133	7	are	be	VERB
bitcs-2759	133	8	367	367	NUM
bitcs-2759	133	9	faces	face	NOUN
bitcs-2759	133	10	with	with	ADP
bitcs-2759	133	11	masks	mask	NOUN
bitcs-2759	133	12	and	and	CCONJ
bitcs-2759	133	13	476	476	NUM
bitcs-2759	133	14	without	without	ADP
bitcs-2759	133	15	.	.	PUNCT
bitcs-2759	134	1	moreover	moreover	ADV
bitcs-2759	134	2	,	,	PUNCT
bitcs-2759	134	3	yolo	yolo	ADJ
bitcs-2759	134	4	v5	v5	PROPN
bitcs-2759	134	5	is	be	AUX
bitcs-2759	134	6	used	use	VERB
bitcs-2759	134	7	to	to	PART
bitcs-2759	134	8	detect	detect	VERB
bitcs-2759	134	9	the	the	DET
bitcs-2759	134	10	face	face	NOUN
bitcs-2759	134	11	accurately	accurately	ADV
bitcs-2759	134	12	.	.	PUNCT
bitcs-2759	135	1	in	in	ADP
bitcs-2759	135	2	figure	figure	NOUN
bitcs-2759	135	3	6	6	NUM
bitcs-2759	135	4	,	,	PUNCT
bitcs-2759	135	5	the	the	DET
bitcs-2759	135	6	objectness	objectness	NOUN
bitcs-2759	135	7	plot	plot	NOUN
bitcs-2759	135	8	shows	show	VERB
bitcs-2759	135	9	how	how	SCONJ
bitcs-2759	135	10	accurately	accurately	ADV
bitcs-2759	135	11	yolo	yolo	ADJ
bitcs-2759	135	12	v5	v5	PROPN
bitcs-2759	135	13	classifies	classify	VERB
bitcs-2759	135	14	the	the	DET
bitcs-2759	135	15	faces	face	NOUN
bitcs-2759	135	16	with	with	ADP
bitcs-2759	135	17	and	and	CCONJ
bitcs-2759	135	18	without	without	ADP
bitcs-2759	135	19	masks	mask	NOUN
bitcs-2759	135	20	.	.	PUNCT
bitcs-2759	136	1	the	the	DET
bitcs-2759	136	2	objectness	objectness	NOUN
bitcs-2759	136	3	loss	loss	NOUN
bitcs-2759	136	4	is	be	AUX
bitcs-2759	136	5	due	due	ADJ
bitcs-2759	136	6	to	to	ADP
bitcs-2759	136	7	wrong	wrong	ADJ
bitcs-2759	136	8	face	face	NOUN
bitcs-2759	136	9	recognition	recognition	NOUN
bitcs-2759	136	10	in	in	ADP
bitcs-2759	136	11	giou	giou	NOUN
bitcs-2759	136	12	prediction	prediction	NOUN
bitcs-2759	136	13	.	.	PUNCT
bitcs-2759	137	1	the	the	DET
bitcs-2759	137	2	classification	classification	NOUN
bitcs-2759	137	3	plot	plot	NOUN
bitcs-2759	137	4	shows	show	VERB
bitcs-2759	137	5	that	that	SCONJ
bitcs-2759	137	6	the	the	DET
bitcs-2759	137	7	classification	classification	NOUN
bitcs-2759	137	8	loss	loss	NOUN
bitcs-2759	137	9	function	function	NOUN
bitcs-2759	137	10	deviates	deviate	VERB
bitcs-2759	137	11	from	from	ADP
bitcs-2759	137	12	predicting	predict	VERB
bitcs-2759	137	13	2	2	NUM
bitcs-2759	137	14	for	for	ADP
bitcs-2759	137	15	actual	actual	ADJ
bitcs-2759	137	16	classes	class	NOUN
bitcs-2759	137	17	and	and	CCONJ
bitcs-2759	137	18	0	0	NUM
bitcs-2759	137	19	for	for	ADP
bitcs-2759	137	20	other	other	ADJ
bitcs-2759	137	21	classes	class	NOUN
bitcs-2759	137	22	.	.	PUNCT
bitcs-2759	138	1	this	this	PRON
bitcs-2759	138	2	shows	show	VERB
bitcs-2759	138	3	that	that	SCONJ
bitcs-2759	138	4	yolo	yolo	ADJ
bitcs-2759	138	5	v5	v5	PROPN
bitcs-2759	138	6	classifies	classify	VERB
bitcs-2759	138	7	the	the	DET
bitcs-2759	138	8	classes	class	NOUN
bitcs-2759	138	9	more	more	ADV
bitcs-2759	138	10	accurately	accurately	ADV
bitcs-2759	138	11	as	as	SCONJ
bitcs-2759	138	12	shown	show	VERB
bitcs-2759	138	13	in	in	ADP
bitcs-2759	138	14	the	the	DET
bitcs-2759	138	15	results	result	NOUN
bitcs-2759	138	16	.	.	PUNCT
bitcs-2759	139	1	furthermore	furthermore	ADV
bitcs-2759	139	2	,	,	PUNCT
bitcs-2759	139	3	precision	precision	NOUN
bitcs-2759	139	4	and	and	CCONJ
bitcs-2759	139	5	recall	recall	NOUN
bitcs-2759	139	6	plots	plot	NOUN
bitcs-2759	139	7	show	show	VERB
bitcs-2759	139	8	that	that	SCONJ
bitcs-2759	139	9	yolo	yolo	ADJ
bitcs-2759	139	10	v5	v5	PROPN
bitcs-2759	139	11	detects	detect	NOUN
bitcs-2759	139	12	the	the	DET
bitcs-2759	139	13	objects	object	NOUN
bitcs-2759	139	14	accurately	accurately	ADV
bitcs-2759	139	15	.	.	PUNCT
bitcs-2759	140	1	the	the	DET
bitcs-2759	140	2	high	high	ADJ
bitcs-2759	140	3	precision	precision	NOUN
bitcs-2759	140	4	shows	show	VERB
bitcs-2759	140	5	that	that	SCONJ
bitcs-2759	140	6	yolo	yolo	ADJ
bitcs-2759	140	7	v5	v5	PROPN
bitcs-2759	140	8	accurately	accurately	ADV
bitcs-2759	140	9	predicts	predict	VERB
bitcs-2759	140	10	the	the	DET
bitcs-2759	140	11	objects	object	NOUN
bitcs-2759	140	12	.	.	PUNCT
bitcs-2759	141	1	high	high	ADJ
bitcs-2759	141	2	precision	precision	NOUN
bitcs-2759	141	3	shows	show	VERB
bitcs-2759	141	4	the	the	DET
bitcs-2759	141	5	correctness	correctness	NOUN
bitcs-2759	141	6	of	of	ADP
bitcs-2759	141	7	prediction	prediction	NOUN
bitcs-2759	141	8	.	.	PUNCT
bitcs-2759	142	1	the	the	DET
bitcs-2759	142	2	recall	recall	PROPN
bitcs-2759	142	3	plot	plot	NOUN
bitcs-2759	142	4	shows	show	VERB
bitcs-2759	142	5	how	how	SCONJ
bitcs-2759	142	6	accurately	accurately	ADV
bitcs-2759	142	7	find	find	VERB
bitcs-2759	142	8	all	all	DET
bitcs-2759	142	9	the	the	DET
bitcs-2759	142	10	positives	positive	NOUN
bitcs-2759	142	11	by	by	ADP
bitcs-2759	142	12	using	use	VERB
bitcs-2759	142	13	the	the	DET
bitcs-2759	142	14	yolo	yolo	ADJ
bitcs-2759	142	15	v5	v5	PROPN
bitcs-2759	142	16	algorithm	algorithm	NOUN
bitcs-2759	142	17	.	.	PUNCT
bitcs-2759	143	1	the	the	DET
bitcs-2759	143	2	recall	recall	NOUN
bitcs-2759	143	3	is	be	AUX
bitcs-2759	143	4	high	high	ADJ
bitcs-2759	143	5	means	mean	VERB
bitcs-2759	143	6	our	our	PRON
bitcs-2759	143	7	results	result	NOUN
bitcs-2759	143	8	are	be	AUX
bitcs-2759	143	9	good	good	ADJ
bitcs-2759	143	10	and	and	CCONJ
bitcs-2759	143	11	yolo	yolo	ADJ
bitcs-2759	143	12	v5	v5	PROPN
bitcs-2759	143	13	detects	detect	NOUN
bitcs-2759	143	14	the	the	DET
bitcs-2759	143	15	faces	face	NOUN
bitcs-2759	143	16	efficiently	efficiently	ADV
bitcs-2759	143	17	.	.	PUNCT
bitcs-2759	144	1	the	the	DET
bitcs-2759	144	2	map@0.5	map@0.5	PROPN
bitcs-2759	144	3	plot	plot	NOUN
bitcs-2759	144	4	shows	show	VERB
bitcs-2759	144	5	the	the	DET
bitcs-2759	144	6	mean	mean	NOUN
bitcs-2759	144	7	of	of	ADP
bitcs-2759	144	8	average	average	ADJ
bitcs-2759	144	9	precision	precision	NOUN
bitcs-2759	144	10	at	at	ADP
bitcs-2759	144	11	0.5	0.5	NUM
bitcs-2759	144	12	you	you	PRON
bitcs-2759	144	13	.	.	PUNCT
bitcs-2759	145	1	the	the	DET
bitcs-2759	145	2	map	map	NOUN
bitcs-2759	145	3	is	be	AUX
bitcs-2759	145	4	gradually	gradually	ADV
bitcs-2759	145	5	increasing	increase	VERB
bitcs-2759	145	6	which	which	PRON
bitcs-2759	145	7	shows	show	VERB
bitcs-2759	145	8	how	how	SCONJ
bitcs-2759	145	9	accurate	accurate	ADJ
bitcs-2759	145	10	the	the	DET
bitcs-2759	145	11	results	result	NOUN
bitcs-2759	145	12	are	be	AUX
bitcs-2759	145	13	and	and	CCONJ
bitcs-2759	145	14	how	how	SCONJ
bitcs-2759	145	15	efficiently	efficiently	ADV
bitcs-2759	145	16	the	the	DET
bitcs-2759	145	17	yolo	yolo	ADJ
bitcs-2759	145	18	v5	v5	PROPN
bitcs-2759	145	19	algorithm	algorithm	NOUN
bitcs-2759	145	20	detects	detect	NOUN
bitcs-2759	145	21	the	the	DET
bitcs-2759	145	22	faces	face	NOUN
bitcs-2759	145	23	with	with	ADP
bitcs-2759	145	24	and	and	CCONJ
bitcs-2759	145	25	without	without	ADP
bitcs-2759	145	26	masks	mask	NOUN
bitcs-2759	145	27	.	.	PUNCT
bitcs-2759	146	1	the	the	DET
bitcs-2759	146	2	f1	f1	NOUN
bitcs-2759	146	3	is	be	AUX
bitcs-2759	146	4	a	a	DET
bitcs-2759	146	5	harmonic	harmonic	ADJ
bitcs-2759	146	6	mean	mean	NOUN
bitcs-2759	146	7	of	of	ADP
bitcs-2759	146	8	precision	precision	NOUN
bitcs-2759	146	9	and	and	CCONJ
bitcs-2759	146	10	recall	recall	NOUN
bitcs-2759	146	11	.	.	PUNCT
bitcs-2759	147	1	as	as	SCONJ
bitcs-2759	147	2	shown	show	VERB
bitcs-2759	147	3	in	in	ADP
bitcs-2759	147	4	the	the	DET
bitcs-2759	147	5	results	result	NOUN
bitcs-2759	147	6	,	,	PUNCT
bitcs-2759	147	7	precision	precision	NOUN
bitcs-2759	147	8	and	and	CCONJ
bitcs-2759	147	9	recall	recall	NOUN
bitcs-2759	147	10	are	be	AUX
bitcs-2759	147	11	high	high	ADJ
bitcs-2759	147	12	which	which	PRON
bitcs-2759	147	13	means	mean	VERB
bitcs-2759	147	14	our	our	PRON
bitcs-2759	147	15	f1	f1	ADJ
bitcs-2759	147	16	score	score	NOUN
bitcs-2759	147	17	should	should	AUX
bitcs-2759	147	18	also	also	ADV
bitcs-2759	147	19	be	be	AUX
bitcs-2759	147	20	high	high	ADJ
bitcs-2759	147	21	which	which	PRON
bitcs-2759	147	22	shows	show	VERB
bitcs-2759	147	23	the	the	DET
bitcs-2759	147	24	better	well	ADJ
bitcs-2759	147	25	performance	performance	NOUN
bitcs-2759	147	26	of	of	ADP
bitcs-2759	147	27	our	our	PRON
bitcs-2759	147	28	used	use	VERB
bitcs-2759	147	29	algorithm	algorithm	NOUN
bitcs-2759	147	30	yolo	yolo	PROPN
bitcs-2759	147	31	v5	v5	PROPN
bitcs-2759	147	32	that	that	PRON
bitcs-2759	147	33	classifies	classify	VERB
bitcs-2759	147	34	the	the	DET
bitcs-2759	147	35	faces	face	NOUN
bitcs-2759	147	36	with	with	ADP
bitcs-2759	147	37	and	and	CCONJ
bitcs-2759	147	38	without	without	ADP
bitcs-2759	147	39	masks	mask	NOUN
bitcs-2759	147	40	accurately	accurately	ADV
bitcs-2759	147	41	.	.	PUNCT
bitcs-2759	148	1	our	our	PRON
bitcs-2759	148	2	results	result	NOUN
bitcs-2759	148	3	depict	depict	VERB
bitcs-2759	148	4	that	that	SCONJ
bitcs-2759	148	5	yolo	yolo	ADJ
bitcs-2759	148	6	v5	v5	PROPN
bitcs-2759	148	7	detects	detect	NOUN
bitcs-2759	148	8	the	the	DET
bitcs-2759	148	9	faces	face	NOUN
bitcs-2759	148	10	with	with	ADP
bitcs-2759	148	11	and	and	CCONJ
bitcs-2759	148	12	with	with	ADP
bitcs-2759	148	13	masks	mask	NOUN
bitcs-2759	148	14	more	more	ADV
bitcs-2759	148	15	accurately	accurately	ADV
bitcs-2759	148	16	and	and	CCONJ
bitcs-2759	148	17	works	work	VERB
bitcs-2759	148	18	efficiently	efficiently	ADV
bitcs-2759	148	19	in	in	ADP
bitcs-2759	148	20	classification	classification	NOUN
bitcs-2759	148	21	.	.	PUNCT
bitcs-2759	149	1	we	we	PRON
bitcs-2759	149	2	also	also	ADV
bitcs-2759	149	3	used	use	VERB
bitcs-2759	149	4	the	the	DET
bitcs-2759	149	5	public	public	ADJ
bitcs-2759	149	6	dataset	dataset	NOUN
bitcs-2759	149	7	to	to	PART
bitcs-2759	149	8	compare	compare	VERB
bitcs-2759	149	9	our	our	PRON
bitcs-2759	149	10	results	result	NOUN
bitcs-2759	149	11	to	to	ADP
bitcs-2759	149	12	the	the	DET
bitcs-2759	149	13	current	current	ADJ
bitcs-2759	149	14	state	state	NOUN
bitcs-2759	149	15	of	of	ADP
bitcs-2759	149	16	the	the	DET
bitcs-2759	149	17	art	art	NOUN
bitcs-2759	149	18	.	.	PUNCT
bitcs-2759	150	1	the	the	DET
bitcs-2759	150	2	outcome	outcome	NOUN
bitcs-2759	150	3	is	be	AUX
bitcs-2759	150	4	shown	show	VERB
bitcs-2759	150	5	in	in	ADP
bitcs-2759	150	6	table	table	NOUN
bitcs-2759	150	7	2	2	NUM
bitcs-2759	150	8	.	.	PUNCT
bitcs-2759	150	9	table	table	NOUN
bitcs-2759	150	10	2	2	NUM
bitcs-2759	150	11	:	:	PUNCT
bitcs-2759	150	12	state	state	NOUN
bitcs-2759	150	13	-	-	PUNCT
bitcs-2759	150	14	of	of	ADP
bitcs-2759	150	15	-	-	PUNCT
bitcs-2759	150	16	the	the	DET
bitcs-2759	150	17	-	-	PUNCT
bitcs-2759	150	18	art	art	NOUN
bitcs-2759	150	19	performance	performance	NOUN
bitcs-2759	150	20	evaluation	evaluation	NOUN
bitcs-2759	150	21	dataset	dataset	NOUN
bitcs-2759	150	22	accuracy	accuracy	NOUN
bitcs-2759	150	23	thermal	thermal	ADJ
bitcs-2759	150	24	cheetah	cheetah	NOUN
bitcs-2759	150	25	dataset	dataset	VERB
bitcs-2759	150	26	0.942	0.942	NUM
bitcs-2759	150	27	anki	anki	PROPN
bitcs-2759	150	28	vector	vector	PROPN
bitcs-2759	150	29	robot	robot	NOUN
bitcs-2759	150	30	dataset	dataset	VERB
bitcs-2759	150	31	dataset	dataset	VERB
bitcs-2759	150	32	0.985	0.985	NUM
bitcs-2759	150	33	drone	drone	NOUN
bitcs-2759	150	34	gesture	gesture	NOUN
bitcs-2759	150	35	control	control	NOUN
bitcs-2759	150	36	dataset	dataset	VERB
bitcs-2759	150	37	0.971	0.971	NUM
bitcs-2759	150	38	egohands	egohand	NOUN
bitcs-2759	150	39	dataset	dataset	VERB
bitcs-2759	150	40	0.982	0.982	NUM
bitcs-2759	150	41	pascal	pascal	PROPN
bitcs-2759	150	42	voc	voc	NOUN
bitcs-2759	150	43	2012	2012	NUM
bitcs-2759	150	44	dataset	dataset	VERB
bitcs-2759	150	45	0.980	0.980	NUM
bitcs-2759	150	46	5	5	NUM
bitcs-2759	150	47	.	.	PUNCT
bitcs-2759	151	1	conclusion	conclusion	NOUN
bitcs-2759	151	2	in	in	ADP
bitcs-2759	151	3	this	this	DET
bitcs-2759	151	4	paper	paper	NOUN
bitcs-2759	151	5	,	,	PUNCT
bitcs-2759	151	6	the	the	DET
bitcs-2759	151	7	deep	deep	ADJ
bitcs-2759	151	8	learning	learning	NOUN
bitcs-2759	151	9	algorithm	algorithm	PROPN
bitcs-2759	151	10	yolo	yolo	PROPN
bitcs-2759	151	11	v5	v5	PROPN
bitcs-2759	151	12	is	be	AUX
bitcs-2759	151	13	exploited	exploit	VERB
bitcs-2759	151	14	to	to	PART
bitcs-2759	151	15	accurately	accurately	ADV
bitcs-2759	151	16	classify	classify	VERB
bitcs-2759	151	17	faces	face	NOUN
bitcs-2759	151	18	with	with	ADP
bitcs-2759	151	19	and	and	CCONJ
bitcs-2759	151	20	without	without	ADP
bitcs-2759	151	21	masks	mask	NOUN
bitcs-2759	151	22	.	.	PUNCT
bitcs-2759	152	1	yolo	yolo	PROPN
bitcs-2759	152	2	v5	v5	PROPN
bitcs-2759	152	3	used	use	VERB
bitcs-2759	152	4	the	the	DET
bitcs-2759	152	5	loss	loss	NOUN
bitcs-2759	152	6	functions	function	NOUN
bitcs-2759	152	7	giou	giou	NOUN
bitcs-2759	152	8	,	,	PUNCT
bitcs-2759	152	9	objectness	objectness	NOUN
bitcs-2759	152	10	,	,	PUNCT
bitcs-2759	152	11	and	and	CCONJ
bitcs-2759	152	12	classification	classification	NOUN
bitcs-2759	152	13	.	.	PUNCT
bitcs-2759	153	1	that	that	PRON
bitcs-2759	153	2	shows	show	VERB
bitcs-2759	153	3	how	how	SCONJ
bitcs-2759	153	4	accurately	accurately	ADV
bitcs-2759	153	5	yolo	yolo	ADJ
bitcs-2759	153	6	v5	v5	NOUN
bitcs-2759	153	7	detects	detect	VERB
bitcs-2759	153	8	the	the	DET
bitcs-2759	153	9	objects	object	NOUN
bitcs-2759	153	10	.	.	PUNCT
bitcs-2759	154	1	the	the	DET
bitcs-2759	154	2	dataset	dataset	NOUN
bitcs-2759	154	3	is	be	AUX
bitcs-2759	154	4	split	split	VERB
bitcs-2759	154	5	into	into	ADP
bitcs-2759	154	6	80	80	NUM
bitcs-2759	154	7	%	%	NOUN
bitcs-2759	154	8	training	training	NOUN
bitcs-2759	154	9	and	and	CCONJ
bitcs-2759	154	10	20	20	NUM
bitcs-2759	154	11	%	%	NOUN
bitcs-2759	154	12	testing	testing	NOUN
bitcs-2759	154	13	sets	set	NOUN
bitcs-2759	154	14	and	and	CCONJ
bitcs-2759	154	15	classes	class	NOUN
bitcs-2759	154	16	are	be	AUX
bitcs-2759	154	17	with	with	ADP
bitcs-2759	154	18	masks	mask	NOUN
bitcs-2759	154	19	and	and	CCONJ
bitcs-2759	154	20	without	without	ADP
bitcs-2759	154	21	a	a	DET
bitcs-2759	154	22	mask	mask	NOUN
bitcs-2759	154	23	.	.	PUNCT
bitcs-2759	155	1	moreover	moreover	ADV
bitcs-2759	155	2	,	,	PUNCT
bitcs-2759	155	3	the	the	DET
bitcs-2759	155	4	300	300	NUM
bitcs-2759	155	5	images	image	NOUN
bitcs-2759	155	6	are	be	AUX
bitcs-2759	155	7	from	from	ADP
bitcs-2759	155	8	class	class	NOUN
bitcs-2759	155	9	1	1	NUM
bitcs-2759	155	10	which	which	PRON
bitcs-2759	155	11	is	be	AUX
bitcs-2759	155	12	with	with	ADP
bitcs-2759	155	13	a	a	DET
bitcs-2759	155	14	mask	mask	NOUN
bitcs-2759	155	15	,	,	PUNCT
bitcs-2759	155	16	and	and	CCONJ
bitcs-2759	155	17	450	450	NUM
bitcs-2759	155	18	without	without	ADP
bitcs-2759	155	19	a	a	DET
bitcs-2759	155	20	mask	mask	NOUN
bitcs-2759	155	21	after	after	SCONJ
bitcs-2759	155	22	that	that	DET
bitcs-2759	155	23	images	image	NOUN
bitcs-2759	155	24	are	be	AUX
bitcs-2759	155	25	augmented	augment	VERB
bitcs-2759	155	26	using	use	VERB
bitcs-2759	155	27	the	the	DET
bitcs-2759	155	28	technique	technique	NOUN
bitcs-2759	155	29	of	of	ADP
bitcs-2759	155	30	rotation	rotation	NOUN
bitcs-2759	155	31	,	,	PUNCT
bitcs-2759	155	32	translation	translation	NOUN
bitcs-2759	155	33	,	,	PUNCT
bitcs-2759	155	34	and	and	CCONJ
bitcs-2759	155	35	scaling	scale	VERB
bitcs-2759	155	36	to	to	PART
bitcs-2759	155	37	get	get	VERB
bitcs-2759	155	38	more	more	ADJ
bitcs-2759	155	39	images	image	NOUN
bitcs-2759	155	40	and	and	CCONJ
bitcs-2759	155	41	overall	overall	ADJ
bitcs-2759	155	42	images	image	NOUN
bitcs-2759	155	43	become	become	VERB
bitcs-2759	155	44	1200	1200	NUM
bitcs-2759	155	45	for	for	ADP
bitcs-2759	155	46	with	with	ADP
bitcs-2759	155	47	mask	mask	NOUN
bitcs-2759	155	48	and	and	CCONJ
bitcs-2759	155	49	1350	1350	NUM
bitcs-2759	155	50	without	without	ADP
bitcs-2759	155	51	a	a	DET
bitcs-2759	155	52	mask	mask	NOUN
bitcs-2759	155	53	.	.	PUNCT
bitcs-2759	156	1	the	the	DET
bitcs-2759	156	2	used	use	VERB
bitcs-2759	156	3	algorithm	algorithm	NOUN
bitcs-2759	156	4	is	be	AUX
bitcs-2759	156	5	evaluated	evaluate	VERB
bitcs-2759	156	6	through	through	ADP
bitcs-2759	156	7	simulations	simulation	NOUN
bitcs-2759	156	8	in	in	ADP
bitcs-2759	156	9	which	which	PRON
bitcs-2759	156	10	the	the	DET
bitcs-2759	156	11	used	use	VERB
bitcs-2759	156	12	algorithm	algorithm	NOUN
bitcs-2759	156	13	yolo	yolo	PROPN
bitcs-2759	156	14	v5	v5	PROPN
bitcs-2759	156	15	precision	precision	NOUN
bitcs-2759	156	16	is	be	AUX
bitcs-2759	156	17	96	96	NUM
bitcs-2759	156	18	%	%	NOUN
bitcs-2759	156	19	and	and	CCONJ
bitcs-2759	156	20	accuracy	accuracy	NOUN
bitcs-2759	156	21	is	be	AUX
bitcs-2759	156	22	95	95	NUM
bitcs-2759	156	23	%	%	NOUN
bitcs-2759	156	24	.	.	PUNCT
bitcs-2759	157	1	the	the	DET
bitcs-2759	157	2	results	result	NOUN
bitcs-2759	157	3	show	show	VERB
bitcs-2759	157	4	that	that	SCONJ
bitcs-2759	157	5	yolo	yolo	ADJ
bitcs-2759	157	6	v5	v5	PROPN
bitcs-2759	157	7	detects	detect	NOUN
bitcs-2759	157	8	objects	object	VERB
bitcs-2759	157	9	more	more	ADV
bitcs-2759	157	10	accurately	accurately	ADV
bitcs-2759	157	11	.	.	PUNCT
bitcs-2759	158	1	references	reference	NOUN
bitcs-2759	158	2	[	[	X
bitcs-2759	158	3	1	1	NUM
bitcs-2759	158	4	]	]	PUNCT
bitcs-2759	158	5	a.	a.	PROPN
bitcs-2759	158	6	d.	d.	PROPN
bitcs-2759	158	7	miller	miller	PROPN
bitcs-2759	158	8	,	,	PUNCT
bitcs-2759	158	9	t.	t.	PROPN
bitcs-2759	158	10	b.	b.	PROPN
bitcs-2759	158	11	murdock	murdock	PROPN
bitcs-2759	158	12	,	,	PUNCT
bitcs-2759	158	13	and	and	CCONJ
bitcs-2759	158	14	m.	m.	NOUN
bitcs-2759	158	15	m.	m.	NOUN
bitcs-2759	158	16	grotewiel	grotewiel	PROPN
bitcs-2759	158	17	,	,	PUNCT
bitcs-2759	158	18	"	"	PUNCT
bitcs-2759	158	19	addressing	address	VERB
bitcs-2759	158	20	academic	academic	ADJ
bitcs-2759	158	21	dishonesty	dishonesty	NOUN
bitcs-2759	158	22	among	among	ADP
bitcs-2759	158	23	the	the	DET
bitcs-2759	158	24	highest	high	ADJ
bitcs-2759	158	25	achievers	achiever	NOUN
bitcs-2759	158	26	,	,	PUNCT
bitcs-2759	158	27	"	"	PUNCT
bitcs-2759	158	28	theory	theory	NOUN
bitcs-2759	158	29	into	into	ADP
bitcs-2759	158	30	practice	practice	NOUN
bitcs-2759	158	31	,	,	PUNCT
bitcs-2759	158	32	vol	vol	NOUN
bitcs-2759	158	33	.	.	PROPN
bitcs-2759	158	34	56	56	NUM
bitcs-2759	158	35	,	,	PUNCT
bitcs-2759	158	36	pp	pp	ADJ
bitcs-2759	158	37	.	.	PUNCT
bitcs-2759	159	1	121	121	NUM
bitcs-2759	159	2	-	-	SYM
bitcs-2759	159	3	128	128	NUM
bitcs-2759	159	4	,	,	PUNCT
bitcs-2759	159	5	2017	2017	NUM
bitcs-2759	159	6	.	.	PUNCT
bitcs-2759	160	1	[	[	X
bitcs-2759	160	2	2	2	NUM
bitcs-2759	160	3	]	]	SYM
bitcs-2759	160	4	li	li	PROPN
bitcs-2759	160	5	,	,	PUNCT
bitcs-2759	160	6	e.	e.	PROPN
bitcs-2759	160	7	“	"	PUNCT
bitcs-2759	160	8	research	research	NOUN
bitcs-2759	160	9	on	on	ADP
bitcs-2759	160	10	face	face	NOUN
bitcs-2759	160	11	detection	detection	NOUN
bitcs-2759	160	12	methods	method	NOUN
bitcs-2759	160	13	”	"	PUNCT
bitcs-2759	160	14	.	.	PUNCT
bitcs-2759	161	1	4th	4th	ADJ
bitcs-2759	161	2	international	international	ADJ
bitcs-2759	161	3	conference	conference	NOUN
bitcs-2759	161	4	on	on	ADP
bitcs-2759	161	5	signal	signal	ADJ
bitcs-2759	161	6	processing	processing	NOUN
bitcs-2759	161	7	and	and	CCONJ
bitcs-2759	161	8	machine	machine	NOUN
bitcs-2759	161	9	learning	learning	NOUN
bitcs-2759	161	10	,	,	PUNCT
bitcs-2759	161	11	2021	2021	NUM
bitcs-2759	161	12	.	.	PUNCT
bitcs-2759	162	1	[	[	X
bitcs-2759	162	2	3	3	X
bitcs-2759	162	3	]	]	X
bitcs-2759	162	4	genemo	genemo	NOUN
bitcs-2759	162	5	,	,	PUNCT
bitcs-2759	162	6	m.d	m.d	PROPN
bitcs-2759	162	7	.	.	PUNCT
bitcs-2759	163	1	“	"	PUNCT
bitcs-2759	163	2	suspicious	suspicious	ADJ
bitcs-2759	163	3	activity	activity	NOUN
bitcs-2759	163	4	recognition	recognition	NOUN
bitcs-2759	163	5	for	for	ADP
bitcs-2759	163	6	monitoring	monitor	VERB
bitcs-2759	163	7	cheating	cheat	VERB
bitcs-2759	163	8	in	in	ADP
bitcs-2759	163	9	exams	exam	NOUN
bitcs-2759	163	10	”	"	PUNCT
bitcs-2759	163	11	.	.	PUNCT
bitcs-2759	164	1	proc.indian	proc.indian	ADJ
bitcs-2759	164	2	natl	natl	NOUN
bitcs-2759	164	3	.	.	PUNCT
bitcs-2759	165	1	sci	sci	PROPN
bitcs-2759	165	2	.	.	PUNCT
bitcs-2759	165	3	acad	acad	PROPN
bitcs-2759	165	4	.	.	PROPN
bitcs-2759	166	1	88	88	NUM
bitcs-2759	166	2	,	,	PUNCT
bitcs-2759	166	3	1–10	1–10	NOUN
bitcs-2759	166	4	(	(	PUNCT
bitcs-2759	166	5	2022	2022	NUM
bitcs-2759	166	6	)	)	PUNCT
bitcs-2759	166	7	.	.	PUNCT
bitcs-2759	167	1	[	[	X
bitcs-2759	167	2	4	4	NUM
bitcs-2759	167	3	]	]	SYM
bitcs-2759	167	4	genemo	genemo	NOUN
bitcs-2759	167	5	,	,	PUNCT
bitcs-2759	167	6	m.	m.	PROPN
bitcs-2759	167	7	d.	d.	PROPN
bitcs-2759	167	8	(	(	PUNCT
bitcs-2759	167	9	2022	2022	NUM
bitcs-2759	167	10	)	)	PUNCT
bitcs-2759	167	11	.	.	PUNCT
bitcs-2759	168	1	suspicious	suspicious	ADJ
bitcs-2759	168	2	activity	activity	NOUN
bitcs-2759	168	3	recognition	recognition	NOUN
bitcs-2759	168	4	for	for	ADP
bitcs-2759	168	5	monitoring	monitor	VERB
bitcs-2759	168	6	cheating	cheat	VERB
bitcs-2759	168	7	in	in	ADP
bitcs-2759	168	8	exams	exam	NOUN
bitcs-2759	168	9	.	.	PUNCT
bitcs-2759	169	1	proceedings	proceeding	NOUN
bitcs-2759	169	2	of	of	ADP
bitcs-2759	169	3	the	the	DET
bitcs-2759	169	4	indian	indian	ADJ
bitcs-2759	169	5	national	national	PROPN
bitcs-2759	169	6	science	science	PROPN
bitcs-2759	169	7	academy	academy	PROPN
bitcs-2759	169	8	,	,	PUNCT
bitcs-2759	169	9	1	1	NUM
bitcs-2759	169	10	-	-	SYM
bitcs-2759	169	11	10	10	NUM
bitcs-2759	169	12	.	.	PUNCT
bitcs-2759	170	1	[	[	X
bitcs-2759	170	2	5	5	NUM
bitcs-2759	170	3	]	]	SYM
bitcs-2759	170	4	reddy	reddy	PROPN
bitcs-2759	170	5	,	,	PUNCT
bitcs-2759	170	6	s.	s.	PROPN
bitcs-2759	170	7	,	,	PUNCT
bitcs-2759	170	8	goel	goel	PROPN
bitcs-2759	170	9	,	,	PUNCT
bitcs-2759	170	10	s.	s.	PROPN
bitcs-2759	170	11	,	,	PUNCT
bitcs-2759	170	12	&	&	CCONJ
bitcs-2759	170	13	nijhawan	nijhawan	PROPN
bitcs-2759	170	14	,	,	PUNCT
bitcs-2759	170	15	r.	r.	PROPN
bitcs-2759	170	16	“	"	PUNCT
bitcs-2759	170	17	real	real	ADJ
bitcs-2759	170	18	-	-	PUNCT
bitcs-2759	170	19	time	time	NOUN
bitcs-2759	170	20	face	face	NOUN
bitcs-2759	170	21	mask	mask	NOUN
bitcs-2759	170	22	detection	detection	NOUN
bitcs-2759	170	23	using	use	VERB
bitcs-2759	170	24	machine	machine	NOUN
bitcs-2759	170	25	learning/	learning/	NUM
bitcs-2759	170	26	deep	deep	ADJ
bitcs-2759	170	27	feature	feature	NOUN
bitcs-2759	170	28	-	-	PUNCT
bitcs-2759	170	29	based	base	VERB
bitcs-2759	170	30	classifiers	classifier	NOUN
bitcs-2759	170	31	for	for	ADP
bitcs-2759	170	32	face	face	NOUN
bitcs-2759	170	33	mask	mask	NOUN
bitcs-2759	170	34	class	class	NOUN
bitcs-2759	170	35	n(truth	n(truth	PROPN
bitcs-2759	170	36	)	)	PUNCT
bitcs-2759	170	37	n(classified	n(classified	ADJ
bitcs-2759	170	38	)	)	PUNCT
bitcs-2759	170	39	accuracy	accuracy	NOUN
bitcs-2759	170	40	precision	precision	NOUN
bitcs-2759	170	41	recall	recall	NOUN
bitcs-2759	170	42	f1	f1	PROPN
bitcs-2759	170	43	score	score	NOUN
bitcs-2759	170	44	with	with	ADP
bitcs-2759	170	45	mask	mask	NOUN
bitcs-2759	170	46	367	367	NUM
bitcs-2759	170	47	370	370	NUM
bitcs-2759	170	48	95.61	95.61	NUM
bitcs-2759	170	49	%	%	NOUN
bitcs-2759	170	50	0.95	0.95	NUM
bitcs-2759	170	51	0.95	0.95	NUM
bitcs-2759	170	52	0.95	0.95	NUM
bitcs-2759	170	53	without	without	ADP
bitcs-2759	170	54	mask	mask	NOUN
bitcs-2759	170	55	476	476	NUM
bitcs-2759	170	56	473	473	NUM
bitcs-2759	170	57	95.61	95.61	NUM
bitcs-2759	170	58	%	%	NOUN
bitcs-2759	170	59	0.96	0.96	NUM
bitcs-2759	170	60	0.96	0.96	NUM
bitcs-2759	170	61	0.96	0.96	NUM
bitcs-2759	170	62	mailto	mailto	NOUN
bitcs-2759	170	63	:	:	PUNCT
bitcs-2759	170	64	map@0.5	map@0.5	VERB
bitcs-2759	170	65	51	51	NUM
bitcs-2759	170	66	|	|	ADV
bitcs-2759	170	67	vol.3	vol.3	PROPN
bitcs-2759	170	68	no.2	no.2	PROPN
bitcs-2759	170	69	,	,	PUNCT
bitcs-2759	170	70	july	july	PROPN
bitcs-2759	170	71	2022	2022	NUM
bitcs-2759	170	72	recognition	recognition	NOUN
bitcs-2759	170	73	”	"	PUNCT
bitcs-2759	170	74	.	.	PUNCT
bitcs-2759	171	1	ieee	ieee	PROPN
bitcs-2759	171	2	bombay	bombay	PROPN
bitcs-2759	171	3	section	section	PROPN
bitcs-2759	171	4	signature	signature	NOUN
bitcs-2759	171	5	conference	conference	PROPN
bitcs-2759	171	6	(	(	PUNCT
bitcs-2759	171	7	ibssc	ibssc	NOUN
bitcs-2759	171	8	)	)	PUNCT
bitcs-2759	171	9	,	,	PUNCT
bitcs-2759	171	10	2021	2021	NUM
bitcs-2759	171	11	.	.	PUNCT
bitcs-2759	172	1	[	[	X
bitcs-2759	172	2	6	6	NUM
bitcs-2759	172	3	]	]	X
bitcs-2759	172	4	luh	luh	PROPN
bitcs-2759	172	5	,	,	PUNCT
bitcs-2759	172	6	g.	g.	NOUN
bitcs-2759	172	7	“	"	PUNCT
bitcs-2759	172	8	face	face	VERB
bitcs-2759	172	9	detection	detection	NOUN
bitcs-2759	172	10	using	use	VERB
bitcs-2759	172	11	a	a	DET
bitcs-2759	172	12	combination	combination	NOUN
bitcs-2759	172	13	of	of	ADP
bitcs-2759	172	14	skin	skin	NOUN
bitcs-2759	172	15	color	color	NOUN
bitcs-2759	172	16	pixel	pixel	NOUN
bitcs-2759	172	17	detection	detection	NOUN
bitcs-2759	172	18	and	and	CCONJ
bitcs-2759	172	19	viola	viola	PROPN
bitcs-2759	172	20	-	-	PUNCT
bitcs-2759	172	21	jones	jones	PROPN
bitcs-2759	172	22	face	face	NOUN
bitcs-2759	172	23	detector	detector	NOUN
bitcs-2759	172	24	”	"	PUNCT
bitcs-2759	172	25	international	international	ADJ
bitcs-2759	172	26	conference	conference	NOUN
bitcs-2759	172	27	on	on	ADP
bitcs-2759	172	28	machine	machine	NOUN
bitcs-2759	172	29	learning	learning	NOUN
bitcs-2759	172	30	and	and	CCONJ
bitcs-2759	172	31	cybernetics	cybernetic	NOUN
bitcs-2759	172	32	,	,	PUNCT
bitcs-2759	172	33	2014	2014	NUM
bitcs-2759	172	34	.	.	PUNCT
bitcs-2759	173	1	[	[	X
bitcs-2759	173	2	7	7	NUM
bitcs-2759	173	3	]	]	SYM
bitcs-2759	173	4	vidal	vidal	NOUN
bitcs-2759	173	5	,	,	PUNCT
bitcs-2759	173	6	a.	a.	PROPN
bitcs-2759	173	7	,	,	PUNCT
bitcs-2759	173	8	jha	jha	PROPN
bitcs-2759	173	9	,	,	PUNCT
bitcs-2759	173	10	s.	s.	PROPN
bitcs-2759	173	11	,	,	PUNCT
bitcs-2759	173	12	hassler	hassler	PROPN
bitcs-2759	173	13	,	,	PUNCT
bitcs-2759	173	14	s.	s.	PROPN
bitcs-2759	173	15	,	,	PUNCT
bitcs-2759	173	16	price	price	NOUN
bitcs-2759	173	17	,	,	PUNCT
bitcs-2759	173	18	t.	t.	PROPN
bitcs-2759	173	19	,	,	PUNCT
bitcs-2759	173	20	&	&	CCONJ
bitcs-2759	173	21	busso	busso	PROPN
bitcs-2759	173	22	,	,	PUNCT
bitcs-2759	173	23	c.	c.	NOUN
bitcs-2759	173	24	“	"	PUNCT
bitcs-2759	173	25	face	face	VERB
bitcs-2759	173	26	detection	detection	NOUN
bitcs-2759	173	27	and	and	CCONJ
bitcs-2759	173	28	grimace	grimace	NOUN
bitcs-2759	173	29	scale	scale	NOUN
bitcs-2759	173	30	prediction	prediction	NOUN
bitcs-2759	173	31	of	of	ADP
bitcs-2759	173	32	white	white	ADJ
bitcs-2759	173	33	-	-	PUNCT
bitcs-2759	173	34	furred	furred	ADJ
bitcs-2759	173	35	mice	mouse	NOUN
bitcs-2759	173	36	.	.	PUNCT
bitcs-2759	174	1	machine	machine	NOUN
bitcs-2759	174	2	learning	learn	VERB
bitcs-2759	174	3	with	with	ADP
bitcs-2759	174	4	applications	application	NOUN
bitcs-2759	174	5	”	"	PUNCT
bitcs-2759	174	6	,	,	PUNCT
bitcs-2759	174	7	8	8	NUM
bitcs-2759	174	8	,	,	PUNCT
bitcs-2759	174	9	100312.2022	100312.2022	NOUN
bitcs-2759	174	10	.	.	PUNCT
bitcs-2759	175	1	[	[	X
bitcs-2759	175	2	8	8	NUM
bitcs-2759	175	3	]	]	PUNCT
bitcs-2759	175	4	alakkari	alakkari	PROPN
bitcs-2759	175	5	,	,	PUNCT
bitcs-2759	175	6	s.	s.	PROPN
bitcs-2759	175	7	,	,	PUNCT
bitcs-2759	175	8	&	&	CCONJ
bitcs-2759	175	9	collins	collins	PROPN
bitcs-2759	175	10	,	,	PUNCT
bitcs-2759	175	11	j.	j.	PROPN
bitcs-2759	175	12	j.	j.	PROPN
bitcs-2759	175	13	“	"	PUNCT
bitcs-2759	175	14	eigenfaces	eigenface	NOUN
bitcs-2759	175	15	for	for	ADP
bitcs-2759	175	16	face	face	NOUN
bitcs-2759	175	17	detection	detection	NOUN
bitcs-2759	175	18	”	"	PUNCT
bitcs-2759	175	19	a	a	DET
bitcs-2759	175	20	novel	novel	ADJ
bitcs-2759	175	21	study	study	NOUN
bitcs-2759	175	22	.	.	PUNCT
bitcs-2759	176	1	12th	12th	ADJ
bitcs-2759	176	2	international	international	ADJ
bitcs-2759	176	3	conference	conference	NOUN
bitcs-2759	176	4	on	on	ADP
bitcs-2759	176	5	machine	machine	NOUN
bitcs-2759	176	6	learning	learning	NOUN
bitcs-2759	176	7	and	and	CCONJ
bitcs-2759	176	8	applications	application	NOUN
bitcs-2759	176	9	,	,	PUNCT
bitcs-2759	176	10	2014	2014	NUM
bitcs-2759	176	11	.	.	PUNCT
bitcs-2759	177	1	[	[	X
bitcs-2759	177	2	9	9	NUM
bitcs-2759	177	3	]	]	X
bitcs-2759	177	4	jeong	jeong	PROPN
bitcs-2759	177	5	,	,	PUNCT
bitcs-2759	177	6	h.	h.	PROPN
bitcs-2759	177	7	j.	j.	PROPN
bitcs-2759	177	8	,	,	PUNCT
bitcs-2759	177	9	park	park	PROPN
bitcs-2759	177	10	,	,	PUNCT
bitcs-2759	177	11	k.	k.	PROPN
bitcs-2759	177	12	s.	s.	PROPN
bitcs-2759	177	13	,	,	PUNCT
bitcs-2759	177	14	&	&	CCONJ
bitcs-2759	177	15	ha	ha	INTJ
bitcs-2759	177	16	,	,	PUNCT
bitcs-2759	177	17	y.	y.	PROPN
bitcs-2759	177	18	g.	g.	PROPN
bitcs-2759	177	19	(	(	PUNCT
bitcs-2759	177	20	2018	2018	NUM
bitcs-2759	177	21	,	,	PUNCT
bitcs-2759	177	22	january	january	PROPN
bitcs-2759	177	23	)	)	PUNCT
bitcs-2759	177	24	.	.	PUNCT
bitcs-2759	178	1	image	image	NOUN
bitcs-2759	178	2	preprocessing	preprocesse	VERB
bitcs-2759	178	3	for	for	ADP
bitcs-2759	178	4	efficient	efficient	ADJ
bitcs-2759	178	5	training	training	NOUN
bitcs-2759	178	6	of	of	ADP
bitcs-2759	178	7	yolo	yolo	ADJ
bitcs-2759	178	8	deep	deep	ADJ
bitcs-2759	178	9	learning	learning	NOUN
bitcs-2759	178	10	networks	network	NOUN
bitcs-2759	178	11	.	.	PUNCT
bitcs-2759	179	1	in	in	ADP
bitcs-2759	179	2	2018	2018	NUM
bitcs-2759	179	3	ieee	ieee	NOUN
bitcs-2759	179	4	international	international	ADJ
bitcs-2759	179	5	conference	conference	NOUN
bitcs-2759	179	6	on	on	ADP
bitcs-2759	179	7	big	big	ADJ
bitcs-2759	179	8	data	datum	NOUN
bitcs-2759	179	9	and	and	CCONJ
bitcs-2759	179	10	smart	smart	ADJ
bitcs-2759	179	11	computing	computing	NOUN
bitcs-2759	179	12	(	(	PUNCT
bitcs-2759	179	13	bigcomp	bigcomp	NOUN
bitcs-2759	179	14	)	)	PUNCT
bitcs-2759	179	15	(	(	PUNCT
bitcs-2759	179	16	pp	pp	X
bitcs-2759	179	17	.	.	PUNCT
bitcs-2759	180	1	635	635	NUM
bitcs-2759	180	2	-	-	NUM
bitcs-2759	180	3	637	637	NUM
bitcs-2759	180	4	)	)	PUNCT
bitcs-2759	180	5	.	.	PUNCT
bitcs-2759	181	1	[	[	X
bitcs-2759	181	2	10	10	NUM
bitcs-2759	181	3	]	]	X
bitcs-2759	181	4	garg	garg	NOUN
bitcs-2759	181	5	,	,	PUNCT
bitcs-2759	181	6	d.	d.	PROPN
bitcs-2759	181	7	,	,	PUNCT
bitcs-2759	181	8	goel	goel	PROPN
bitcs-2759	181	9	,	,	PUNCT
bitcs-2759	181	10	p.	p.	PROPN
bitcs-2759	181	11	,	,	PUNCT
bitcs-2759	181	12	pandya	pandya	PROPN
bitcs-2759	181	13	,	,	PUNCT
bitcs-2759	181	14	s.	s.	PROPN
bitcs-2759	181	15	,	,	PUNCT
bitcs-2759	181	16	ganatra	ganatra	PROPN
bitcs-2759	181	17	,	,	PUNCT
bitcs-2759	181	18	a.	a.	NOUN
bitcs-2759	181	19	,	,	PUNCT
bitcs-2759	181	20	&	&	CCONJ
bitcs-2759	181	21	kotecha	kotecha	PROPN
bitcs-2759	181	22	,	,	PUNCT
bitcs-2759	181	23	k.	k.	PROPN
bitcs-2759	181	24	(	(	PUNCT
bitcs-2759	181	25	2018	2018	NUM
bitcs-2759	181	26	,	,	PUNCT
bitcs-2759	181	27	november	november	PROPN
bitcs-2759	181	28	)	)	PUNCT
bitcs-2759	181	29	.	.	PUNCT
bitcs-2759	182	1	a	a	DET
bitcs-2759	182	2	deep	deep	ADJ
bitcs-2759	182	3	learning	learning	NOUN
bitcs-2759	182	4	approach	approach	NOUN
bitcs-2759	182	5	for	for	ADP
bitcs-2759	182	6	face	face	NOUN
bitcs-2759	182	7	detection	detection	NOUN
bitcs-2759	182	8	using	use	VERB
bitcs-2759	182	9	yolo	yolo	PRON
bitcs-2759	182	10	.	.	PUNCT
bitcs-2759	183	1	in	in	ADP
bitcs-2759	183	2	2018	2018	NUM
bitcs-2759	183	3	ieee	ieee	NOUN
bitcs-2759	183	4	punecon	punecon	NOUN
bitcs-2759	183	5	(	(	PUNCT
bitcs-2759	183	6	pp	pp	ADJ
bitcs-2759	183	7	.	.	PUNCT
bitcs-2759	184	1	1	1	NUM
bitcs-2759	184	2	-	-	SYM
bitcs-2759	184	3	4	4	NUM
bitcs-2759	184	4	)	)	PUNCT
bitcs-2759	184	5	.	.	PUNCT
bitcs-2759	185	1	ieee	ieee	NOUN
bitcs-2759	185	2	.	.	PUNCT
bitcs-2759	186	1	[	[	X
bitcs-2759	186	2	11	11	NUM
bitcs-2759	186	3	]	]	X
bitcs-2759	186	4	al	al	PROPN
bitcs-2759	186	5	-	-	PUNCT
bitcs-2759	186	6	masni	masni	PROPN
bitcs-2759	186	7	,	,	PUNCT
bitcs-2759	186	8	m.	m.	NOUN
bitcs-2759	186	9	a.	a.	PROPN
bitcs-2759	186	10	,	,	PUNCT
bitcs-2759	186	11	al	al	PROPN
bitcs-2759	186	12	-	-	PUNCT
bitcs-2759	186	13	antari	antari	NOUN
bitcs-2759	186	14	,	,	PUNCT
bitcs-2759	186	15	m.	m.	NOUN
bitcs-2759	186	16	a.	a.	PROPN
bitcs-2759	186	17	,	,	PUNCT
bitcs-2759	186	18	park	park	NOUN
bitcs-2759	186	19	,	,	PUNCT
bitcs-2759	186	20	j.	j.	PROPN
bitcs-2759	186	21	m.	m.	PROPN
bitcs-2759	186	22	,	,	PUNCT
bitcs-2759	186	23	gi	gi	INTJ
bitcs-2759	186	24	,	,	PUNCT
bitcs-2759	186	25	g.	g.	PROPN
bitcs-2759	186	26	,	,	PUNCT
bitcs-2759	186	27	kim	kim	PROPN
bitcs-2759	186	28	,	,	PUNCT
bitcs-2759	186	29	t.	t.	PROPN
bitcs-2759	186	30	y.	y.	PROPN
bitcs-2759	186	31	,	,	PUNCT
bitcs-2759	186	32	rivera	rivera	PROPN
bitcs-2759	186	33	,	,	PUNCT
bitcs-2759	186	34	p.	p.	PROPN
bitcs-2759	186	35	,	,	PUNCT
bitcs-2759	186	36	...	...	PUNCT
bitcs-2759	186	37	&	&	CCONJ
bitcs-2759	186	38	kim	kim	PROPN
bitcs-2759	186	39	,	,	PUNCT
bitcs-2759	186	40	t.	t.	PROPN
bitcs-2759	186	41	s.	s.	PROPN
bitcs-2759	186	42	(	(	PUNCT
bitcs-2759	186	43	2018	2018	NUM
bitcs-2759	186	44	)	)	PUNCT
bitcs-2759	186	45	.	.	PUNCT
bitcs-2759	187	1	simultaneous	simultaneous	ADJ
bitcs-2759	187	2	detection	detection	NOUN
bitcs-2759	187	3	and	and	CCONJ
bitcs-2759	187	4	classification	classification	NOUN
bitcs-2759	187	5	of	of	ADP
bitcs-2759	187	6	breast	breast	NOUN
bitcs-2759	187	7	masses	masse	NOUN
bitcs-2759	187	8	in	in	ADP
bitcs-2759	187	9	digital	digital	ADJ
bitcs-2759	187	10	mammograms	mammogram	NOUN
bitcs-2759	187	11	via	via	ADP
bitcs-2759	187	12	a	a	DET
bitcs-2759	187	13	deep	deep	ADJ
bitcs-2759	187	14	learning	learn	VERB
bitcs-2759	187	15	yolo	yolo	NOUN
bitcs-2759	187	16	-	-	PUNCT
bitcs-2759	187	17	based	base	VERB
bitcs-2759	187	18	cad	cad	NOUN
bitcs-2759	187	19	system	system	NOUN
bitcs-2759	187	20	.	.	PUNCT
bitcs-2759	188	1	computer	computer	NOUN
bitcs-2759	188	2	methods	method	NOUN
bitcs-2759	188	3	and	and	CCONJ
bitcs-2759	188	4	programs	program	NOUN
bitcs-2759	188	5	in	in	ADP
bitcs-2759	188	6	biomedicine	biomedicine	NOUN
bitcs-2759	188	7	,	,	PUNCT
bitcs-2759	188	8	157	157	NUM
bitcs-2759	188	9	,	,	PUNCT
bitcs-2759	188	10	85	85	NUM
bitcs-2759	188	11	-	-	SYM
bitcs-2759	188	12	94	94	NUM
bitcs-2759	188	13	.	.	PUNCT
bitcs-2759	189	1	[	[	X
bitcs-2759	189	2	12	12	NUM
bitcs-2759	189	3	]	]	X
bitcs-2759	189	4	wu	wu	PROPN
bitcs-2759	189	5	,	,	PUNCT
bitcs-2759	189	6	d.	d.	PROPN
bitcs-2759	189	7	,	,	PUNCT
bitcs-2759	189	8	lv	lv	PROPN
bitcs-2759	189	9	,	,	PUNCT
bitcs-2759	189	10	s.	s.	PROPN
bitcs-2759	189	11	,	,	PUNCT
bitcs-2759	189	12	jiang	jiang	PROPN
bitcs-2759	189	13	,	,	PUNCT
bitcs-2759	189	14	m.	m.	NOUN
bitcs-2759	189	15	,	,	PUNCT
bitcs-2759	189	16	&	&	CCONJ
bitcs-2759	189	17	song	song	PROPN
bitcs-2759	189	18	,	,	PUNCT
bitcs-2759	189	19	h.	h.	PROPN
bitcs-2759	189	20	(	(	PUNCT
bitcs-2759	189	21	2020	2020	NUM
bitcs-2759	189	22	)	)	PUNCT
bitcs-2759	189	23	.	.	PUNCT
bitcs-2759	190	1	using	use	VERB
bitcs-2759	190	2	channel	channel	NOUN
bitcs-2759	190	3	pruning	pruning	NOUN
bitcs-2759	190	4	-	-	PUNCT
bitcs-2759	190	5	based	base	VERB
bitcs-2759	190	6	yolo	yolo	ADJ
bitcs-2759	190	7	v4	v4	PROPN
bitcs-2759	190	8	deep	deep	ADJ
bitcs-2759	190	9	learning	learn	VERB
bitcs-2759	190	10	algorithm	algorithm	NOUN
bitcs-2759	190	11	for	for	ADP
bitcs-2759	190	12	the	the	DET
bitcs-2759	190	13	real	real	ADJ
bitcs-2759	190	14	-	-	PUNCT
bitcs-2759	190	15	time	time	NOUN
bitcs-2759	190	16	and	and	CCONJ
bitcs-2759	190	17	accurate	accurate	ADJ
bitcs-2759	190	18	detection	detection	NOUN
bitcs-2759	190	19	of	of	ADP
bitcs-2759	190	20	apple	apple	NOUN
bitcs-2759	190	21	flowers	flower	NOUN
bitcs-2759	190	22	in	in	ADP
bitcs-2759	190	23	natural	natural	ADJ
bitcs-2759	190	24	environments	environment	NOUN
bitcs-2759	190	25	.	.	PUNCT
bitcs-2759	191	1	computers	computer	NOUN
bitcs-2759	191	2	and	and	CCONJ
bitcs-2759	191	3	electronics	electronic	NOUN
bitcs-2759	191	4	in	in	ADP
bitcs-2759	191	5	agriculture	agriculture	NOUN
bitcs-2759	191	6	,	,	PUNCT
bitcs-2759	191	7	178	178	NUM
bitcs-2759	191	8	,	,	PUNCT
bitcs-2759	191	9	105742	105742	NUM
bitcs-2759	191	10	.	.	PUNCT
bitcs-2759	192	1	[	[	X
bitcs-2759	192	2	13	13	NUM
bitcs-2759	192	3	]	]	X
bitcs-2759	192	4	george	george	PROPN
bitcs-2759	192	5	,	,	PUNCT
bitcs-2759	192	6	j.	j.	PROPN
bitcs-2759	192	7	,	,	PUNCT
bitcs-2759	192	8	skaria	skaria	PROPN
bitcs-2759	192	9	,	,	PUNCT
bitcs-2759	192	10	s.	s.	PROPN
bitcs-2759	192	11	,	,	PUNCT
bitcs-2759	192	12	&	&	CCONJ
bitcs-2759	192	13	varun	varun	PROPN
bitcs-2759	192	14	,	,	PUNCT
bitcs-2759	192	15	v.	v.	PROPN
bitcs-2759	192	16	v.	v.	CCONJ
bitcs-2759	192	17	(	(	PUNCT
bitcs-2759	192	18	2018	2018	NUM
bitcs-2759	192	19	,	,	PUNCT
bitcs-2759	192	20	february	february	PROPN
bitcs-2759	192	21	)	)	PUNCT
bitcs-2759	192	22	.	.	PUNCT
bitcs-2759	193	1	using	use	VERB
bitcs-2759	193	2	a	a	DET
bitcs-2759	193	3	yolo	yolo	NOUN
bitcs-2759	193	4	-	-	PUNCT
bitcs-2759	193	5	based	base	VERB
bitcs-2759	193	6	deep	deep	ADJ
bitcs-2759	193	7	learning	learning	NOUN
bitcs-2759	193	8	network	network	NOUN
bitcs-2759	193	9	for	for	ADP
bitcs-2759	193	10	real	real	ADJ
bitcs-2759	193	11	-	-	PUNCT
bitcs-2759	193	12	time	time	NOUN
bitcs-2759	193	13	detection	detection	NOUN
bitcs-2759	193	14	and	and	CCONJ
bitcs-2759	193	15	localization	localization	NOUN
bitcs-2759	193	16	of	of	ADP
bitcs-2759	193	17	lung	lung	NOUN
bitcs-2759	193	18	nodules	nodule	NOUN
bitcs-2759	193	19	from	from	ADP
bitcs-2759	193	20	low	low	ADJ
bitcs-2759	193	21	dose	dose	PROPN
bitcs-2759	193	22	ct	ct	PROPN
bitcs-2759	193	23	scans	scan	NOUN
bitcs-2759	193	24	.	.	PUNCT
bitcs-2759	194	1	in	in	ADP
bitcs-2759	194	2	medical	medical	ADJ
bitcs-2759	194	3	imaging	imaging	NOUN
bitcs-2759	194	4	2018	2018	NUM
bitcs-2759	194	5	:	:	PUNCT
bitcs-2759	194	6	computer	computer	NOUN
bitcs-2759	194	7	-	-	PUNCT
bitcs-2759	194	8	aided	aid	VERB
bitcs-2759	194	9	diagnosis	diagnosis	NOUN
bitcs-2759	194	10	(	(	PUNCT
bitcs-2759	194	11	vol	vol	NOUN
bitcs-2759	194	12	.	.	PUNCT
bitcs-2759	194	13	10575	10575	NUM
bitcs-2759	194	14	,	,	PUNCT
bitcs-2759	194	15	p.	p.	NOUN
bitcs-2759	194	16	105751i	105751i	NUM
bitcs-2759	194	17	)	)	PUNCT
bitcs-2759	194	18	.	.	PUNCT
bitcs-2759	195	1	international	international	ADJ
bitcs-2759	195	2	society	society	NOUN
bitcs-2759	195	3	for	for	ADP
bitcs-2759	195	4	optics	optic	NOUN
bitcs-2759	195	5	and	and	CCONJ
bitcs-2759	195	6	photonics	photonic	NOUN
bitcs-2759	195	7	.	.	PUNCT
bitcs-2759	196	1	[	[	X
bitcs-2759	196	2	14	14	NUM
bitcs-2759	196	3	]	]	X
bitcs-2759	196	4	magalhães	magalhães	NOUN
bitcs-2759	196	5	,	,	PUNCT
bitcs-2759	196	6	s.	s.	PROPN
bitcs-2759	196	7	a.	a.	PROPN
bitcs-2759	196	8	,	,	PUNCT
bitcs-2759	196	9	castro	castro	PROPN
bitcs-2759	196	10	,	,	PUNCT
bitcs-2759	196	11	l.	l.	PROPN
bitcs-2759	196	12	,	,	PUNCT
bitcs-2759	196	13	moreira	moreira	PROPN
bitcs-2759	196	14	,	,	PUNCT
bitcs-2759	196	15	g.	g.	PROPN
bitcs-2759	196	16	,	,	PUNCT
bitcs-2759	196	17	dos	dos	PROPN
bitcs-2759	196	18	santos	santos	PROPN
bitcs-2759	196	19	,	,	PUNCT
bitcs-2759	196	20	f.	f.	PROPN
bitcs-2759	196	21	n.	n.	PROPN
bitcs-2759	196	22	,	,	PUNCT
bitcs-2759	196	23	cunha	cunha	NOUN
bitcs-2759	196	24	,	,	PUNCT
bitcs-2759	196	25	m.	m.	NOUN
bitcs-2759	196	26	,	,	PUNCT
bitcs-2759	196	27	dias	dias	PROPN
bitcs-2759	196	28	,	,	PUNCT
bitcs-2759	196	29	j.	j.	PROPN
bitcs-2759	196	30	,	,	PUNCT
bitcs-2759	196	31	&	&	CCONJ
bitcs-2759	196	32	moreira	moreira	PROPN
bitcs-2759	196	33	,	,	PUNCT
bitcs-2759	196	34	a.	a.	NOUN
bitcs-2759	196	35	p.	p.	NOUN
bitcs-2759	196	36	(	(	PUNCT
bitcs-2759	196	37	2021	2021	NUM
bitcs-2759	196	38	)	)	PUNCT
bitcs-2759	196	39	.	.	PUNCT
bitcs-2759	197	1	evaluating	evaluate	VERB
bitcs-2759	197	2	the	the	DET
bitcs-2759	197	3	single	single	ADJ
bitcs-2759	197	4	-	-	PUNCT
bitcs-2759	197	5	shot	shot	NOUN
bitcs-2759	197	6	multibox	multibox	NOUN
bitcs-2759	197	7	detector	detector	NOUN
bitcs-2759	197	8	and	and	CCONJ
bitcs-2759	197	9	yolo	yolo	ADJ
bitcs-2759	197	10	deep	deep	ADJ
bitcs-2759	197	11	learning	learning	NOUN
bitcs-2759	197	12	models	model	NOUN
bitcs-2759	197	13	for	for	ADP
bitcs-2759	197	14	the	the	DET
bitcs-2759	197	15	detection	detection	NOUN
bitcs-2759	197	16	of	of	ADP
bitcs-2759	197	17	tomatoes	tomato	NOUN
bitcs-2759	197	18	in	in	ADP
bitcs-2759	197	19	a	a	DET
bitcs-2759	197	20	greenhouse	greenhouse	NOUN
bitcs-2759	197	21	.	.	PUNCT
bitcs-2759	198	1	sensors	sensor	NOUN
bitcs-2759	198	2	,	,	PUNCT
bitcs-2759	198	3	21(10	21(10	NOUN
bitcs-2759	198	4	)	)	PUNCT
bitcs-2759	198	5	,	,	PUNCT
bitcs-2759	198	6	3569	3569	NUM
bitcs-2759	198	7	.	.	PUNCT
bitcs-2759	199	1	[	[	X
bitcs-2759	199	2	15	15	NUM
bitcs-2759	199	3	]	]	X
bitcs-2759	199	4	loey	loey	PROPN
bitcs-2759	199	5	,	,	PUNCT
bitcs-2759	199	6	m.	m.	NOUN
bitcs-2759	199	7	,	,	PUNCT
bitcs-2759	199	8	manogaran	manogaran	ADJ
bitcs-2759	199	9	,	,	PUNCT
bitcs-2759	199	10	g.	g.	PROPN
bitcs-2759	199	11	,	,	PUNCT
bitcs-2759	199	12	taha	taha	PROPN
bitcs-2759	199	13	,	,	PUNCT
bitcs-2759	199	14	m.	m.	NOUN
bitcs-2759	199	15	h.	h.	PROPN
bitcs-2759	199	16	n.	n.	PROPN
bitcs-2759	199	17	,	,	PUNCT
bitcs-2759	199	18	&	&	CCONJ
bitcs-2759	199	19	khalifa	khalifa	PROPN
bitcs-2759	199	20	,	,	PUNCT
bitcs-2759	199	21	n.	n.	PROPN
bitcs-2759	199	22	e.	e.	PROPN
bitcs-2759	199	23	m.	m.	PROPN
bitcs-2759	199	24	(	(	PUNCT
bitcs-2759	199	25	2021	2021	NUM
bitcs-2759	199	26	)	)	PUNCT
bitcs-2759	199	27	.	.	PUNCT
bitcs-2759	200	1	fighting	fight	VERB
bitcs-2759	200	2	against	against	ADP
bitcs-2759	200	3	covid-19	covid-19	PROPN
bitcs-2759	200	4	:	:	PUNCT
bitcs-2759	200	5	a	a	DET
bitcs-2759	200	6	novel	novel	ADJ
bitcs-2759	200	7	deep	deep	ADJ
bitcs-2759	200	8	learning	learning	NOUN
bitcs-2759	200	9	model	model	NOUN
bitcs-2759	200	10	based	base	VERB
bitcs-2759	200	11	on	on	ADP
bitcs-2759	200	12	yolo	yolo	NOUN
bitcs-2759	200	13	-	-	PUNCT
bitcs-2759	200	14	v2	v2	PROPN
bitcs-2759	200	15	with	with	ADP
bitcs-2759	200	16	resnet-50	resnet-50	PROPN
bitcs-2759	200	17	for	for	ADP
bitcs-2759	200	18	medical	medical	ADJ
bitcs-2759	200	19	face	face	NOUN
bitcs-2759	200	20	mask	mask	NOUN
bitcs-2759	200	21	detection	detection	NOUN
bitcs-2759	200	22	.	.	PUNCT
bitcs-2759	201	1	sustainable	sustainable	ADJ
bitcs-2759	201	2	cities	city	NOUN
bitcs-2759	201	3	and	and	CCONJ
bitcs-2759	201	4	society	society	NOUN
bitcs-2759	201	5	,	,	PUNCT
bitcs-2759	201	6	65	65	NUM
bitcs-2759	201	7	,	,	PUNCT
bitcs-2759	201	8	102600	102600	NUM
bitcs-2759	201	9	.	.	PUNCT
bitcs-2759	202	1	[	[	X
bitcs-2759	202	2	16	16	NUM
bitcs-2759	202	3	]	]	X
bitcs-2759	202	4	zhuang	zhuang	PROPN
bitcs-2759	202	5	,	,	PUNCT
bitcs-2759	202	6	zhemin	zhemin	PROPN
bitcs-2759	202	7	,	,	PUNCT
bitcs-2759	202	8	guobao	guobao	PROPN
bitcs-2759	202	9	liu	liu	PROPN
bitcs-2759	202	10	,	,	PUNCT
bitcs-2759	202	11	wanli	wanli	PROPN
bitcs-2759	202	12	ding	ding	PROPN
bitcs-2759	202	13	,	,	PUNCT
bitcs-2759	202	14	alex	alex	PROPN
bitcs-2759	202	15	noel	noel	PROPN
bitcs-2759	202	16	joseph	joseph	PROPN
bitcs-2759	202	17	raj	raj	PROPN
bitcs-2759	202	18	,	,	PUNCT
bitcs-2759	202	19	shunmin	shunmin	PROPN
bitcs-2759	202	20	qiu	qiu	PROPN
bitcs-2759	202	21	,	,	PUNCT
bitcs-2759	202	22	jingfeng	jingfeng	PROPN
bitcs-2759	202	23	guo	guo	PROPN
bitcs-2759	202	24	,	,	PUNCT
bitcs-2759	202	25	and	and	CCONJ
bitcs-2759	202	26	ye	ye	NUM
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bitcs-2759	202	28	.	.	PUNCT
bitcs-2759	203	1	"	"	PUNCT
bitcs-2759	203	2	cardiac	cardiac	ADJ
bitcs-2759	203	3	vfm	vfm	NOUN
bitcs-2759	203	4	visualization	visualization	NOUN
bitcs-2759	203	5	and	and	CCONJ
bitcs-2759	203	6	analysis	analysis	NOUN
bitcs-2759	203	7	based	base	VERB
bitcs-2759	203	8	on	on	ADP
bitcs-2759	203	9	yolo	yolo	ADJ
bitcs-2759	203	10	deep	deep	ADJ
bitcs-2759	203	11	learning	learning	NOUN
bitcs-2759	203	12	model	model	NOUN
bitcs-2759	203	13	and	and	CCONJ
bitcs-2759	203	14	modified	modify	VERB
bitcs-2759	203	15	2d	2d	NUM
bitcs-2759	203	16	continuity	continuity	NOUN
bitcs-2759	203	17	equation	equation	NOUN
bitcs-2759	203	18	.	.	PUNCT
bitcs-2759	203	19	"	"	PUNCT
bitcs-2759	204	1	computerized	computerized	ADJ
bitcs-2759	204	2	medical	medical	ADJ
bitcs-2759	204	3	imaging	imaging	NOUN
bitcs-2759	204	4	and	and	CCONJ
bitcs-2759	204	5	graphics	graphic	NOUN
bitcs-2759	204	6	82	82	NUM
bitcs-2759	204	7	(	(	PUNCT
bitcs-2759	204	8	2020	2020	NUM
bitcs-2759	204	9	):	):	PUNCT
bitcs-2759	204	10	101732	101732	NUM
bitcs-2759	204	11	.	.	PUNCT
bitcs-2759	205	1	[	[	X
bitcs-2759	205	2	17	17	NUM
bitcs-2759	205	3	]	]	SYM
bitcs-2759	205	4	ardhianto	ardhianto	ADP
bitcs-2759	205	5	,	,	PUNCT
bitcs-2759	205	6	p.	p.	NOUN
bitcs-2759	205	7	,	,	PUNCT
bitcs-2759	205	8	subiakto	subiakto	PROPN
bitcs-2759	205	9	,	,	PUNCT
bitcs-2759	205	10	r.	r.	PROPN
bitcs-2759	205	11	b.	b.	PROPN
bitcs-2759	205	12	r.	r.	PROPN
bitcs-2759	205	13	,	,	PUNCT
bitcs-2759	205	14	lin	lin	PROPN
bitcs-2759	205	15	,	,	PUNCT
bitcs-2759	205	16	c.	c.	PROPN
bitcs-2759	205	17	y.	y.	PROPN
bitcs-2759	205	18	,	,	PUNCT
bitcs-2759	205	19	jan	jan	PROPN
bitcs-2759	205	20	,	,	PUNCT
bitcs-2759	205	21	y.	y.	PROPN
bitcs-2759	205	22	k.	k.	PROPN
bitcs-2759	205	23	,	,	PUNCT
bitcs-2759	205	24	liau	liau	PROPN
bitcs-2759	205	25	,	,	PUNCT
bitcs-2759	205	26	b.	b.	PROPN
bitcs-2759	205	27	y.	y.	PROPN
bitcs-2759	205	28	,	,	PUNCT
bitcs-2759	205	29	tsai	tsai	PROPN
bitcs-2759	205	30	,	,	PUNCT
bitcs-2759	205	31	j.	j.	PROPN
bitcs-2759	205	32	y.	y.	PROPN
bitcs-2759	205	33	,	,	PUNCT
bitcs-2759	205	34	...	...	PUNCT
bitcs-2759	205	35	&	&	CCONJ
bitcs-2759	205	36	lung	lung	PROPN
bitcs-2759	205	37	,	,	PUNCT
bitcs-2759	205	38	c.	c.	PROPN
bitcs-2759	205	39	w.	w.	PROPN
bitcs-2759	205	40	(	(	PUNCT
bitcs-2759	205	41	2022	2022	NUM
bitcs-2759	205	42	)	)	PUNCT
bitcs-2759	205	43	.	.	PUNCT
bitcs-2759	206	1	a	a	DET
bitcs-2759	206	2	deep	deep	ADJ
bitcs-2759	206	3	learning	learning	NOUN
bitcs-2759	206	4	method	method	NOUN
bitcs-2759	206	5	for	for	ADP
bitcs-2759	206	6	foot	foot	NOUN
bitcs-2759	206	7	progression	progression	NOUN
bitcs-2759	206	8	angle	angle	NOUN
bitcs-2759	206	9	detection	detection	NOUN
bitcs-2759	206	10	in	in	ADP
bitcs-2759	206	11	plantar	plantar	NOUN
bitcs-2759	206	12	pressure	pressure	NOUN
bitcs-2759	206	13	images	image	NOUN
bitcs-2759	206	14	.	.	PUNCT
bitcs-2759	207	1	sensors	sensor	NOUN
bitcs-2759	207	2	,	,	PUNCT
bitcs-2759	207	3	22(7	22(7	NUM
bitcs-2759	207	4	)	)	PUNCT
bitcs-2759	207	5	,	,	PUNCT
bitcs-2759	207	6	2786	2786	NUM
bitcs-2759	207	7	.	.	PUNCT
bitcs-2759	208	1	[	[	X
bitcs-2759	208	2	18	18	NUM
bitcs-2759	208	3	]	]	SYM
bitcs-2759	208	4	pouyanfar	pouyanfar	NOUN
bitcs-2759	208	5	,	,	PUNCT
bitcs-2759	208	6	s.	s.	PROPN
bitcs-2759	208	7	,	,	PUNCT
bitcs-2759	208	8	sadiq	sadiq	PROPN
bitcs-2759	208	9	,	,	PUNCT
bitcs-2759	208	10	s.	s.	PROPN
bitcs-2759	208	11	,	,	PUNCT
bitcs-2759	208	12	yan	yan	PROPN
bitcs-2759	208	13	,	,	PUNCT
bitcs-2759	208	14	y.	y.	PROPN
bitcs-2759	208	15	,	,	PUNCT
bitcs-2759	208	16	tian	tian	PROPN
bitcs-2759	208	17	,	,	PUNCT
bitcs-2759	208	18	h.	h.	PROPN
bitcs-2759	208	19	,	,	PUNCT
bitcs-2759	208	20	tao	tao	PROPN
bitcs-2759	208	21	,	,	PUNCT
bitcs-2759	208	22	y.	y.	PROPN
bitcs-2759	208	23	,	,	PUNCT
bitcs-2759	208	24	reyes	reyes	PROPN
bitcs-2759	208	25	,	,	PUNCT
bitcs-2759	208	26	m.	m.	NOUN
bitcs-2759	208	27	p.	p.	PROPN
bitcs-2759	208	28	,	,	PUNCT
bitcs-2759	208	29	...	...	PUNCT
bitcs-2759	208	30	&	&	CCONJ
bitcs-2759	208	31	iyengar	iyengar	PROPN
bitcs-2759	208	32	,	,	PUNCT
bitcs-2759	208	33	s.	s.	PROPN
bitcs-2759	208	34	s.	s.	PROPN
bitcs-2759	208	35	(	(	PUNCT
bitcs-2759	208	36	2018	2018	NUM
bitcs-2759	208	37	)	)	PUNCT
bitcs-2759	208	38	.	.	PUNCT
bitcs-2759	209	1	a	a	DET
bitcs-2759	209	2	survey	survey	NOUN
bitcs-2759	209	3	on	on	ADP
bitcs-2759	209	4	deep	deep	ADJ
bitcs-2759	209	5	learning	learning	NOUN
bitcs-2759	209	6	:	:	PUNCT
bitcs-2759	209	7	algorithms	algorithm	NOUN
bitcs-2759	209	8	,	,	PUNCT
bitcs-2759	209	9	techniques	technique	NOUN
bitcs-2759	209	10	,	,	PUNCT
bitcs-2759	209	11	and	and	CCONJ
bitcs-2759	209	12	applications	application	NOUN
bitcs-2759	209	13	.	.	PUNCT
bitcs-2759	210	1	acm	acm	PROPN
bitcs-2759	210	2	computing	computing	NOUN
bitcs-2759	210	3	surveys	survey	NOUN
bitcs-2759	210	4	(	(	PUNCT
bitcs-2759	210	5	csur	csur	NOUN
bitcs-2759	210	6	)	)	PUNCT
bitcs-2759	210	7	,	,	PUNCT
bitcs-2759	210	8	51(5	51(5	NUM
bitcs-2759	210	9	)	)	PUNCT
bitcs-2759	210	10	,	,	PUNCT
bitcs-2759	210	11	1	1	NUM
bitcs-2759	210	12	-	-	SYM
bitcs-2759	210	13	36	36	NUM
bitcs-2759	210	14	.	.	PUNCT
bitcs-2759	211	1	[	[	X
bitcs-2759	211	2	19	19	NUM
bitcs-2759	211	3	]	]	X
bitcs-2759	211	4	guo	guo	PROPN
bitcs-2759	211	5	,	,	PUNCT
bitcs-2759	211	6	yanming	yanming	PROPN
bitcs-2759	211	7	,	,	PUNCT
bitcs-2759	211	8	yu	yu	PROPN
bitcs-2759	211	9	liu	liu	PROPN
bitcs-2759	211	10	,	,	PUNCT
bitcs-2759	211	11	ard	ard	PROPN
bitcs-2759	211	12	oerlemans	oerlemans	PROPN
bitcs-2759	211	13	,	,	PUNCT
bitcs-2759	211	14	songyang	songyang	PROPN
bitcs-2759	211	15	lao	lao	PROPN
bitcs-2759	211	16	,	,	PUNCT
bitcs-2759	211	17	song	song	PROPN
bitcs-2759	211	18	wu	wu	PROPN
bitcs-2759	211	19	,	,	PUNCT
bitcs-2759	211	20	and	and	CCONJ
bitcs-2759	211	21	michael	michael	PROPN
bitcs-2759	211	22	s.	s.	PROPN
bitcs-2759	211	23	lew	lew	PROPN
bitcs-2759	211	24	.	.	PUNCT
bitcs-2759	212	1	"	"	PUNCT
bitcs-2759	212	2	deep	deep	ADJ
bitcs-2759	212	3	learning	learning	NOUN
bitcs-2759	212	4	for	for	ADP
bitcs-2759	212	5	visual	visual	ADJ
bitcs-2759	212	6	understanding	understanding	NOUN
bitcs-2759	212	7	:	:	PUNCT
bitcs-2759	212	8	a	a	DET
bitcs-2759	212	9	review	review	NOUN
bitcs-2759	212	10	.	.	PUNCT
bitcs-2759	212	11	"	"	PUNCT
bitcs-2759	213	1	neurocomputing	neurocompute	VERB
bitcs-2759	213	2	187	187	NUM
bitcs-2759	213	3	(	(	PUNCT
bitcs-2759	213	4	2016	2016	NUM
bitcs-2759	213	5	):	):	PUNCT
bitcs-2759	213	6	27	27	NUM
bitcs-2759	213	7	-	-	SYM
bitcs-2759	213	8	48	48	NUM
bitcs-2759	213	9	.	.	PUNCT
bitcs-2759	214	1	[	[	X
bitcs-2759	214	2	12	12	NUM
bitcs-2759	214	3	]	]	X
bitcs-2759	214	4	zhou	zhou	PROPN
bitcs-2759	214	5	,	,	PUNCT
bitcs-2759	214	6	xinyi	xinyi	PROPN
bitcs-2759	214	7	,	,	PUNCT
bitcs-2759	214	8	wei	wei	PROPN
bitcs-2759	214	9	gong	gong	PROPN
bitcs-2759	214	10	,	,	PUNCT
bitcs-2759	214	11	wenlong	wenlong	NOUN
bitcs-2759	214	12	fu	fu	PROPN
bitcs-2759	214	13	,	,	PUNCT
bitcs-2759	214	14	and	and	CCONJ
bitcs-2759	214	15	fengtong	fengtong	PROPN
bitcs-2759	214	16	du	du	PROPN
bitcs-2759	214	17	.	.	PUNCT
bitcs-2759	215	1	"	"	PUNCT
bitcs-2759	215	2	application	application	NOUN
bitcs-2759	215	3	of	of	ADP
bitcs-2759	215	4	deep	deep	ADJ
bitcs-2759	215	5	learning	learning	NOUN
bitcs-2759	215	6	in	in	ADP
bitcs-2759	215	7	object	object	NOUN
bitcs-2759	215	8	detection	detection	NOUN
bitcs-2759	215	9	.	.	PUNCT
bitcs-2759	215	10	"	"	PUNCT
bitcs-2759	216	1	in	in	ADP
bitcs-2759	216	2	2017	2017	NUM
bitcs-2759	216	3	ieee	ieee	NOUN
bitcs-2759	216	4	/	/	SYM
bitcs-2759	216	5	acis	acis	PROPN
bitcs-2759	216	6	16th	16th	PROPN
bitcs-2759	216	7	international	international	ADJ
bitcs-2759	216	8	conference	conference	NOUN
bitcs-2759	216	9	on	on	ADP
bitcs-2759	216	10	computer	computer	NOUN
bitcs-2759	216	11	and	and	CCONJ
bitcs-2759	216	12	information	information	NOUN
bitcs-2759	216	13	science	science	NOUN
bitcs-2759	216	14	(	(	PUNCT
bitcs-2759	216	15	icis	icis	PROPN
bitcs-2759	216	16	)	)	PUNCT
bitcs-2759	216	17	,	,	PUNCT
bitcs-2759	216	18	pp	pp	PROPN
bitcs-2759	216	19	.	.	PUNCT
bitcs-2759	216	20	631	631	NUM
bitcs-2759	216	21	-	-	SYM
bitcs-2759	216	22	634	634	NUM
bitcs-2759	216	23	.	.	PUNCT
bitcs-2759	216	24	ieee	ieee	NOUN
bitcs-2759	216	25	,	,	PUNCT
bitcs-2759	216	26	2017	2017	NUM
bitcs-2759	216	27	.	.	PUNCT
bitcs-2759	217	1	[	[	X
bitcs-2759	217	2	21	21	NUM
bitcs-2759	217	3	]	]	X
bitcs-2759	217	4	xiao	xiao	PROPN
bitcs-2759	217	5	,	,	PUNCT
bitcs-2759	217	6	youzi	youzi	PROPN
bitcs-2759	217	7	,	,	PUNCT
bitcs-2759	217	8	zhiqiang	zhiqiang	PROPN
bitcs-2759	217	9	tian	tian	PROPN
bitcs-2759	217	10	,	,	PUNCT
bitcs-2759	217	11	jiachen	jiachen	PROPN
bitcs-2759	217	12	yu	yu	PROPN
bitcs-2759	217	13	,	,	PUNCT
bitcs-2759	217	14	yinshu	yinshu	PROPN
bitcs-2759	217	15	zhang	zhang	PROPN
bitcs-2759	217	16	,	,	PUNCT
bitcs-2759	217	17	shuai	shuai	PROPN
bitcs-2759	217	18	liu	liu	PROPN
bitcs-2759	217	19	,	,	PUNCT
bitcs-2759	217	20	shaoyi	shaoyi	PROPN
bitcs-2759	217	21	du	du	PROPN
bitcs-2759	217	22	,	,	PUNCT
bitcs-2759	217	23	and	and	CCONJ
bitcs-2759	217	24	xuguang	xuguang	PROPN
bitcs-2759	217	25	lan	lan	PROPN
bitcs-2759	217	26	.	.	PUNCT
bitcs-2759	218	1	"	"	PUNCT
bitcs-2759	218	2	a	a	DET
bitcs-2759	218	3	review	review	NOUN
bitcs-2759	218	4	of	of	ADP
bitcs-2759	218	5	object	object	NOUN
bitcs-2759	218	6	detection	detection	NOUN
bitcs-2759	218	7	based	base	VERB
bitcs-2759	218	8	on	on	ADP
bitcs-2759	218	9	deep	deep	ADJ
bitcs-2759	218	10	learning	learning	NOUN
bitcs-2759	218	11	.	.	PUNCT
bitcs-2759	218	12	"	"	PUNCT
bitcs-2759	218	13	multimedia	multimedia	NOUN
bitcs-2759	218	14	tools	tool	NOUN
bitcs-2759	218	15	and	and	CCONJ
bitcs-2759	218	16	applications	application	NOUN
bitcs-2759	218	17	79	79	NUM
bitcs-2759	218	18	,	,	PUNCT
bitcs-2759	218	19	no	no	INTJ
bitcs-2759	218	20	.	.	NOUN
bitcs-2759	218	21	33	33	NUM
bitcs-2759	218	22	(	(	PUNCT
bitcs-2759	218	23	2020	2020	NUM
bitcs-2759	218	24	):	):	PUNCT
bitcs-2759	218	25	23729	23729	NUM
bitcs-2759	218	26	-	-	SYM
bitcs-2759	218	27	23791	23791	NUM
bitcs-2759	218	28	.	.	PUNCT
bitcs-2759	219	1	[	[	X
bitcs-2759	219	2	22	22	NUM
bitcs-2759	219	3	]	]	X
bitcs-2759	219	4	mittal	mittal	NOUN
bitcs-2759	219	5	,	,	PUNCT
bitcs-2759	219	6	p.	p.	PROPN
bitcs-2759	219	7	,	,	PUNCT
bitcs-2759	219	8	singh	singh	PROPN
bitcs-2759	219	9	,	,	PUNCT
bitcs-2759	219	10	r.	r.	PROPN
bitcs-2759	219	11	,	,	PUNCT
bitcs-2759	219	12	&	&	CCONJ
bitcs-2759	219	13	sharma	sharma	PROPN
bitcs-2759	219	14	,	,	PUNCT
bitcs-2759	219	15	a.	a.	NOUN
bitcs-2759	219	16	(	(	PUNCT
bitcs-2759	219	17	2020	2020	NUM
bitcs-2759	219	18	)	)	PUNCT
bitcs-2759	219	19	.	.	PUNCT
bitcs-2759	220	1	deep	deep	ADJ
bitcs-2759	220	2	learning	learning	NOUN
bitcs-2759	220	3	-	-	PUNCT
bitcs-2759	220	4	based	base	VERB
bitcs-2759	220	5	object	object	NOUN
bitcs-2759	220	6	detection	detection	NOUN
bitcs-2759	220	7	in	in	ADP
bitcs-2759	220	8	low	low	ADJ
bitcs-2759	220	9	-	-	PUNCT
bitcs-2759	220	10	altitude	altitude	NOUN
bitcs-2759	220	11	uav	uav	PROPN
bitcs-2759	220	12	datasets	dataset	NOUN
bitcs-2759	220	13	:	:	PUNCT
bitcs-2759	220	14	a	a	DET
bitcs-2759	220	15	survey	survey	NOUN
bitcs-2759	220	16	.	.	PUNCT
bitcs-2759	221	1	image	image	NOUN
bitcs-2759	221	2	and	and	CCONJ
bitcs-2759	221	3	vision	vision	NOUN
bitcs-2759	221	4	computing	computing	NOUN
bitcs-2759	221	5	,	,	PUNCT
bitcs-2759	221	6	104	104	NUM
bitcs-2759	221	7	,	,	PUNCT
bitcs-2759	221	8	104046	104046	NUM
bitcs-2759	221	9	.	.	PUNCT
bitcs-2759	222	1	[	[	X
bitcs-2759	222	2	23	23	NUM
bitcs-2759	222	3	]	]	X
bitcs-2759	222	4	wu	wu	PROPN
bitcs-2759	222	5	,	,	PUNCT
bitcs-2759	222	6	x.	x.	PROPN
bitcs-2759	222	7	,	,	PUNCT
bitcs-2759	222	8	sahoo	sahoo	PROPN
bitcs-2759	222	9	,	,	PUNCT
bitcs-2759	222	10	d.	d.	PROPN
bitcs-2759	222	11	,	,	PUNCT
bitcs-2759	222	12	&	&	CCONJ
bitcs-2759	222	13	hoi	hoi	PROPN
bitcs-2759	222	14	,	,	PUNCT
bitcs-2759	222	15	s.	s.	PROPN
bitcs-2759	222	16	c.	c.	PROPN
bitcs-2759	222	17	(	(	PUNCT
bitcs-2759	222	18	2020	2020	NUM
bitcs-2759	222	19	)	)	PUNCT
bitcs-2759	222	20	.	.	PUNCT
bitcs-2759	223	1	recent	recent	ADJ
bitcs-2759	223	2	advances	advance	NOUN
bitcs-2759	223	3	in	in	ADP
bitcs-2759	223	4	deep	deep	ADJ
bitcs-2759	223	5	learning	learning	NOUN
bitcs-2759	223	6	for	for	ADP
bitcs-2759	223	7	object	object	NOUN
bitcs-2759	223	8	detection	detection	NOUN
bitcs-2759	223	9	.	.	PUNCT
bitcs-2759	224	1	neurocomputing	neurocomputing	NOUN
bitcs-2759	224	2	,	,	PUNCT
bitcs-2759	224	3	396	396	NUM
bitcs-2759	224	4	,	,	PUNCT
bitcs-2759	224	5	39	39	NUM
bitcs-2759	224	6	-	-	SYM
bitcs-2759	224	7	64	64	NUM
bitcs-2759	224	8	.	.	PUNCT
bitcs-2759	225	1	[	[	X
bitcs-2759	225	2	24	24	NUM
bitcs-2759	225	3	]	]	SYM
bitcs-2759	225	4	srivastava	srivastava	PROPN
bitcs-2759	225	5	,	,	PUNCT
bitcs-2759	225	6	s.	s.	PROPN
bitcs-2759	225	7	,	,	PUNCT
bitcs-2759	225	8	narayan	narayan	PROPN
bitcs-2759	225	9	,	,	PUNCT
bitcs-2759	225	10	s.	s.	PROPN
bitcs-2759	225	11	,	,	PUNCT
bitcs-2759	225	12	&	&	CCONJ
bitcs-2759	225	13	mittal	mittal	PROPN
bitcs-2759	225	14	,	,	PUNCT
bitcs-2759	225	15	s.	s.	PROPN
bitcs-2759	225	16	(	(	PUNCT
bitcs-2759	225	17	2021	2021	NUM
bitcs-2759	225	18	)	)	PUNCT
bitcs-2759	225	19	.	.	PUNCT
bitcs-2759	226	1	a	a	DET
bitcs-2759	226	2	survey	survey	NOUN
bitcs-2759	226	3	of	of	ADP
bitcs-2759	226	4	deep	deep	ADJ
bitcs-2759	226	5	learning	learning	NOUN
bitcs-2759	226	6	techniques	technique	NOUN
bitcs-2759	226	7	for	for	ADP
bitcs-2759	226	8	vehicle	vehicle	NOUN
bitcs-2759	226	9	detection	detection	NOUN
bitcs-2759	226	10	from	from	ADP
bitcs-2759	226	11	uav	uav	PROPN
bitcs-2759	226	12	images	image	NOUN
bitcs-2759	226	13	.	.	PUNCT
bitcs-2759	227	1	journal	journal	PROPN
bitcs-2759	227	2	of	of	ADP
bitcs-2759	227	3	systems	system	NOUN
bitcs-2759	227	4	architecture	architecture	NOUN
bitcs-2759	227	5	,	,	PUNCT
bitcs-2759	227	6	117	117	NUM
bitcs-2759	227	7	,	,	PUNCT
bitcs-2759	227	8	102152	102152	NUM
bitcs-2759	227	9	.	.	PUNCT
bitcs-2759	228	1	[	[	X
bitcs-2759	228	2	25	25	NUM
bitcs-2759	228	3	]	]	X
bitcs-2759	228	4	garcia	garcia	PROPN
bitcs-2759	228	5	-	-	PUNCT
bitcs-2759	228	6	garcia	garcia	PROPN
bitcs-2759	228	7	,	,	PUNCT
bitcs-2759	228	8	a.	a.	NOUN
bitcs-2759	228	9	,	,	PUNCT
bitcs-2759	228	10	orts	ort	NOUN
bitcs-2759	228	11	-	-	PUNCT
bitcs-2759	228	12	escolano	escolano	NOUN
bitcs-2759	228	13	,	,	PUNCT
bitcs-2759	228	14	s.	s.	PROPN
bitcs-2759	228	15	,	,	PUNCT
bitcs-2759	228	16	oprea	oprea	PROPN
bitcs-2759	228	17	,	,	PUNCT
bitcs-2759	228	18	s.	s.	PROPN
bitcs-2759	228	19	,	,	PUNCT
bitcs-2759	228	20	villena	villena	PROPN
bitcs-2759	228	21	-	-	PUNCT
bitcs-2759	228	22	martinez	martinez	PROPN
bitcs-2759	228	23	,	,	PUNCT
bitcs-2759	228	24	v.	v.	PROPN
bitcs-2759	228	25	,	,	PUNCT
bitcs-2759	228	26	martinez	martinez	PROPN
bitcs-2759	228	27	-	-	PUNCT
bitcs-2759	228	28	gonzalez	gonzalez	PROPN
bitcs-2759	228	29	,	,	PUNCT
bitcs-2759	228	30	p.	p.	PROPN
bitcs-2759	228	31	,	,	PUNCT
bitcs-2759	228	32	&	&	CCONJ
bitcs-2759	228	33	garcia	garcia	PROPN
bitcs-2759	228	34	-	-	PUNCT
bitcs-2759	228	35	rodriguez	rodriguez	PROPN
bitcs-2759	228	36	,	,	PUNCT
bitcs-2759	228	37	j.	j.	PROPN
bitcs-2759	228	38	(	(	PUNCT
bitcs-2759	228	39	2018	2018	NUM
bitcs-2759	228	40	)	)	PUNCT
bitcs-2759	228	41	.	.	PUNCT
bitcs-2759	229	1	a	a	DET
bitcs-2759	229	2	survey	survey	NOUN
bitcs-2759	229	3	on	on	ADP
bitcs-2759	229	4	deep	deep	ADJ
bitcs-2759	229	5	learning	learning	NOUN
bitcs-2759	229	6	techniques	technique	NOUN
bitcs-2759	229	7	for	for	ADP
bitcs-2759	229	8	image	image	NOUN
bitcs-2759	229	9	and	and	CCONJ
bitcs-2759	229	10	video	video	NOUN
bitcs-2759	229	11	semantic	semantic	ADJ
bitcs-2759	229	12	segmentation	segmentation	NOUN
bitcs-2759	229	13	.	.	PUNCT
bitcs-2759	230	1	applied	apply	VERB
bitcs-2759	230	2	soft	soft	ADJ
bitcs-2759	230	3	computing	computing	NOUN
bitcs-2759	230	4	,	,	PUNCT
bitcs-2759	230	5	70	70	NUM
bitcs-2759	230	6	,	,	PUNCT
bitcs-2759	230	7	41	41	NUM
bitcs-2759	230	8	-	-	SYM
bitcs-2759	230	9	65	65	NUM
bitcs-2759	230	10	.	.	PUNCT
bitcs-2759	231	1	[	[	X
bitcs-2759	231	2	26	26	NUM
bitcs-2759	231	3	]	]	X
bitcs-2759	231	4	zujovic	zujovic	PROPN
bitcs-2759	231	5	,	,	PUNCT
bitcs-2759	231	6	j.	j.	PROPN
bitcs-2759	231	7	,	,	PUNCT
bitcs-2759	231	8	gandy	gandy	PROPN
bitcs-2759	231	9	,	,	PUNCT
bitcs-2759	231	10	l.	l.	PROPN
bitcs-2759	231	11	,	,	PUNCT
bitcs-2759	231	12	friedman	friedman	PROPN
bitcs-2759	231	13	,	,	PUNCT
bitcs-2759	231	14	s.	s.	PROPN
bitcs-2759	231	15	,	,	PUNCT
bitcs-2759	231	16	pardo	pardo	PROPN
bitcs-2759	231	17	,	,	PUNCT
bitcs-2759	231	18	b.	b.	PROPN
bitcs-2759	231	19	,	,	PUNCT
bitcs-2759	231	20	&	&	CCONJ
bitcs-2759	231	21	pappas	pappas	PROPN
bitcs-2759	231	22	,	,	PUNCT
bitcs-2759	231	23	t.	t.	PROPN
bitcs-2759	231	24	n.	n.	PROPN
bitcs-2759	231	25	(	(	PUNCT
bitcs-2759	231	26	2009	2009	NUM
bitcs-2759	231	27	,	,	PUNCT
bitcs-2759	231	28	october	october	PROPN
bitcs-2759	231	29	)	)	PUNCT
bitcs-2759	231	30	.	.	PUNCT
bitcs-2759	232	1	classifying	classify	VERB
bitcs-2759	232	2	paintings	painting	NOUN
bitcs-2759	232	3	by	by	ADP
bitcs-2759	232	4	artistic	artistic	ADJ
bitcs-2759	232	5	genre	genre	NOUN
bitcs-2759	232	6	:	:	PUNCT
bitcs-2759	232	7	an	an	DET
bitcs-2759	232	8	analysis	analysis	NOUN
bitcs-2759	232	9	of	of	ADP
bitcs-2759	232	10	features	feature	NOUN
bitcs-2759	232	11	&	&	CCONJ
bitcs-2759	232	12	classifiers	classifier	NOUN
bitcs-2759	232	13	.	.	PUNCT
bitcs-2759	233	1	in	in	ADP
bitcs-2759	233	2	2009	2009	NUM
bitcs-2759	233	3	ieee	ieee	NOUN
bitcs-2759	233	4	international	international	ADJ
bitcs-2759	233	5	workshop	workshop	NOUN
bitcs-2759	233	6	on	on	ADP
bitcs-2759	233	7	multimedia	multimedia	NOUN
bitcs-2759	233	8	signal	signal	NOUN
bitcs-2759	233	9	processing	processing	NOUN
bitcs-2759	233	10	(	(	PUNCT
bitcs-2759	233	11	pp	pp	ADJ
bitcs-2759	233	12	.	.	PUNCT
bitcs-2759	233	13	1	1	NUM
bitcs-2759	233	14	-	-	SYM
bitcs-2759	233	15	5	5	NUM
bitcs-2759	233	16	)	)	PUNCT
bitcs-2759	233	17	.	.	PUNCT
bitcs-2759	234	1	ieee	ieee	NOUN
bitcs-2759	234	2	.	.	PUNCT
bitcs-2759	235	1	[	[	X
bitcs-2759	235	2	27	27	NUM
bitcs-2759	235	3	]	]	X
bitcs-2759	235	4	kobylin	kobylin	NOUN
bitcs-2759	235	5	,	,	PUNCT
bitcs-2759	235	6	o.	o.	PROPN
bitcs-2759	235	7	a.	a.	PROPN
bitcs-2759	235	8	,	,	PUNCT
bitcs-2759	235	9	gorokhovatskyi	gorokhovatskyi	NOUN
bitcs-2759	235	10	,	,	PUNCT
bitcs-2759	235	11	v.	v.	PROPN
bitcs-2759	235	12	о	о	PROPN
bitcs-2759	235	13	.	.	PROPN
bitcs-2759	235	14	,	,	PUNCT
bitcs-2759	235	15	tvoroshenko	tvoroshenko	PROPN
bitcs-2759	235	16	,	,	PUNCT
bitcs-2759	235	17	i.	i.	PROPN
bitcs-2759	235	18	s.	s.	PROPN
bitcs-2759	235	19	,	,	PUNCT
bitcs-2759	235	20	&	&	CCONJ
bitcs-2759	235	21	peredrii	peredrii	PROPN
bitcs-2759	235	22	,	,	PUNCT
bitcs-2759	235	23	o.	o.	PROPN
bitcs-2759	235	24	о	о	PROPN
bitcs-2759	235	25	.	.	PUNCT
bitcs-2759	235	26	(	(	PUNCT
bitcs-2759	235	27	2020	2020	NUM
bitcs-2759	235	28	)	)	PUNCT
bitcs-2759	235	29	.	.	PUNCT
bitcs-2759	236	1	the	the	DET
bitcs-2759	236	2	application	application	NOUN
bitcs-2759	236	3	of	of	ADP
bitcs-2759	236	4	non	non	ADJ
bitcs-2759	236	5	-	-	ADJ
bitcs-2759	236	6	parametric	parametric	ADJ
bitcs-2759	236	7	statistics	statistic	NOUN
bitcs-2759	236	8	methods	method	NOUN
bitcs-2759	236	9	in	in	ADP
bitcs-2759	236	10	image	image	NOUN
bitcs-2759	236	11	classifiers	classifier	NOUN
bitcs-2759	236	12	based	base	VERB
bitcs-2759	236	13	on	on	ADP
bitcs-2759	236	14	structural	structural	ADJ
bitcs-2759	236	15	description	description	NOUN
bitcs-2759	236	16	components	component	NOUN
bitcs-2759	236	17	.	.	PUNCT
bitcs-2759	237	1	telecommunications	telecommunication	NOUN
bitcs-2759	237	2	and	and	CCONJ
bitcs-2759	237	3	radio	radio	NOUN
bitcs-2759	237	4	engineering	engineering	NOUN
bitcs-2759	237	5	,	,	PUNCT
bitcs-2759	237	6	79(10	79(10	NUM
bitcs-2759	237	7	)	)	PUNCT
bitcs-2759	237	8	.	.	PUNCT
bitcs-2759	238	1	[	[	X
bitcs-2759	238	2	28	28	NUM
bitcs-2759	238	3	]	]	X
bitcs-2759	238	4	dredze	dredze	NOUN
bitcs-2759	238	5	,	,	PUNCT
bitcs-2759	238	6	m.	m.	NOUN
bitcs-2759	238	7	,	,	PUNCT
bitcs-2759	238	8	gevaryahu	gevaryahu	PROPN
bitcs-2759	238	9	,	,	PUNCT
bitcs-2759	238	10	r.	r.	PROPN
bitcs-2759	238	11	,	,	PUNCT
bitcs-2759	238	12	&	&	CCONJ
bitcs-2759	238	13	elias	elias	PROPN
bitcs-2759	238	14	-	-	PUNCT
bitcs-2759	238	15	bachrach	bachrach	PROPN
bitcs-2759	238	16	,	,	PUNCT
bitcs-2759	238	17	a.	a.	NOUN
bitcs-2759	238	18	(	(	PUNCT
bitcs-2759	238	19	2007	2007	NUM
bitcs-2759	238	20	,	,	PUNCT
bitcs-2759	238	21	august	august	PROPN
bitcs-2759	238	22	)	)	PUNCT
bitcs-2759	238	23	.	.	PUNCT
bitcs-2759	239	1	learning	learn	VERB
bitcs-2759	239	2	fast	fast	ADJ
bitcs-2759	239	3	classifiers	classifier	NOUN
bitcs-2759	239	4	for	for	ADP
bitcs-2759	239	5	image	image	NOUN
bitcs-2759	239	6	spam	spam	NOUN
bitcs-2759	239	7	.	.	PUNCT
bitcs-2759	240	1	in	in	ADP
bitcs-2759	240	2	ceas	ceas	PROPN
bitcs-2759	240	3	(	(	PUNCT
bitcs-2759	240	4	pp	pp	ADJ
bitcs-2759	240	5	.	.	PUNCT
bitcs-2759	241	1	2007	2007	NUM
bitcs-2759	241	2	-	-	SYM
bitcs-2759	241	3	487	487	NUM
bitcs-2759	241	4	)	)	PUNCT
bitcs-2759	241	5	.	.	PUNCT
bitcs-2759	242	1	[	[	X
bitcs-2759	242	2	29	29	NUM
bitcs-2759	242	3	]	]	X
bitcs-2759	242	4	kobylin	kobylin	NOUN
bitcs-2759	242	5	,	,	PUNCT
bitcs-2759	242	6	o.	o.	PROPN
bitcs-2759	242	7	a.	a.	PROPN
bitcs-2759	242	8	,	,	PUNCT
bitcs-2759	242	9	gorokhovatskyi	gorokhovatskyi	NOUN
bitcs-2759	242	10	,	,	PUNCT
bitcs-2759	242	11	v.	v.	PROPN
bitcs-2759	242	12	о	о	PROPN
bitcs-2759	242	13	.	.	PROPN
bitcs-2759	242	14	,	,	PUNCT
bitcs-2759	242	15	tvoroshenko	tvoroshenko	PROPN
bitcs-2759	242	16	,	,	PUNCT
bitcs-2759	242	17	i.	i.	PROPN
bitcs-2759	242	18	s.	s.	PROPN
bitcs-2759	242	19	,	,	PUNCT
bitcs-2759	242	20	&	&	CCONJ
bitcs-2759	242	21	peredrii	peredrii	PROPN
bitcs-2759	242	22	,	,	PUNCT
bitcs-2759	242	23	o.	o.	PROPN
bitcs-2759	242	24	о	о	PROPN
bitcs-2759	242	25	.	.	PUNCT
bitcs-2759	242	26	(	(	PUNCT
bitcs-2759	242	27	2020	2020	NUM
bitcs-2759	242	28	)	)	PUNCT
bitcs-2759	242	29	.	.	PUNCT
bitcs-2759	243	1	the	the	DET
bitcs-2759	243	2	application	application	NOUN
bitcs-2759	243	3	of	of	ADP
bitcs-2759	243	4	non	non	ADJ
bitcs-2759	243	5	-	-	ADJ
bitcs-2759	243	6	parametric	parametric	ADJ
bitcs-2759	243	7	statistics	statistic	NOUN
bitcs-2759	243	8	methods	method	NOUN
bitcs-2759	243	9	52	52	NUM
bitcs-2759	243	10	|	|	ADV
bitcs-2759	243	11	vol.3	vol.3	PROPN
bitcs-2759	243	12	no.2	no.2	PROPN
bitcs-2759	243	13	,	,	PUNCT
bitcs-2759	243	14	july	july	PROPN
bitcs-2759	243	15	2022	2022	NUM
bitcs-2759	243	16	in	in	ADP
bitcs-2759	243	17	image	image	NOUN
bitcs-2759	243	18	classifiers	classifier	NOUN
bitcs-2759	243	19	based	base	VERB
bitcs-2759	243	20	on	on	ADP
bitcs-2759	243	21	structural	structural	ADJ
bitcs-2759	243	22	description	description	NOUN
bitcs-2759	243	23	components	component	NOUN
bitcs-2759	243	24	.	.	PUNCT
bitcs-2759	244	1	telecommunications	telecommunication	NOUN
bitcs-2759	244	2	and	and	CCONJ
bitcs-2759	244	3	radio	radio	NOUN
bitcs-2759	244	4	engineering	engineering	NOUN
bitcs-2759	244	5	,	,	PUNCT
bitcs-2759	244	6	79(10	79(10	NUM
bitcs-2759	244	7	)	)	PUNCT
bitcs-2759	244	8	.	.	PUNCT
bitcs-2759	245	1	[	[	X
bitcs-2759	245	2	30	30	NUM
bitcs-2759	245	3	]	]	X
bitcs-2759	245	4	wenger	wenger	PROPN
bitcs-2759	245	5	,	,	PUNCT
bitcs-2759	245	6	j.	j.	PROPN
bitcs-2759	245	7	,	,	PUNCT
bitcs-2759	245	8	kjellström	kjellström	PROPN
bitcs-2759	245	9	,	,	PUNCT
bitcs-2759	245	10	h.	h.	PROPN
bitcs-2759	245	11	,	,	PUNCT
bitcs-2759	245	12	&	&	CCONJ
bitcs-2759	245	13	triebel	triebel	PROPN
bitcs-2759	245	14	,	,	PUNCT
bitcs-2759	245	15	r.	r.	PROPN
bitcs-2759	245	16	(	(	PUNCT
bitcs-2759	245	17	2020	2020	NUM
bitcs-2759	245	18	,	,	PUNCT
bitcs-2759	245	19	june	june	PROPN
bitcs-2759	245	20	)	)	PUNCT
bitcs-2759	245	21	.	.	PUNCT
bitcs-2759	246	1	non	non	ADJ
bitcs-2759	246	2	-	-	ADJ
bitcs-2759	246	3	parametric	parametric	ADJ
bitcs-2759	246	4	calibration	calibration	NOUN
bitcs-2759	246	5	for	for	ADP
bitcs-2759	246	6	classification	classification	NOUN
bitcs-2759	246	7	.	.	PUNCT
bitcs-2759	247	1	in	in	ADP
bitcs-2759	247	2	international	international	ADJ
bitcs-2759	247	3	conference	conference	NOUN
bitcs-2759	247	4	on	on	ADP
bitcs-2759	247	5	artificial	artificial	ADJ
bitcs-2759	247	6	intelligence	intelligence	NOUN
bitcs-2759	247	7	and	and	CCONJ
bitcs-2759	247	8	statistics	statistic	NOUN
bitcs-2759	247	9	(	(	PUNCT
bitcs-2759	247	10	pp	pp	ADJ
bitcs-2759	247	11	.	.	PUNCT
bitcs-2759	248	1	178	178	NUM
bitcs-2759	248	2	190	190	NUM
bitcs-2759	248	3	)	)	PUNCT
bitcs-2759	248	4	.	.	PUNCT
bitcs-2759	249	1	pmlr	pmlr	NOUN
bitcs-2759	249	2	.	.	PUNCT
bitcs-2759	250	1	[	[	X
bitcs-2759	250	2	31	31	NUM
bitcs-2759	250	3	]	]	PUNCT
bitcs-2759	250	4	p.	p.	PROPN
bitcs-2759	250	5	f.	f.	PROPN
bitcs-2759	250	6	felzenszwalb	felzenszwalb	PROPN
bitcs-2759	250	7	,	,	PUNCT
bitcs-2759	250	8	r.	r.	PROPN
bitcs-2759	250	9	b.	b.	PROPN
bitcs-2759	250	10	girshick	girshick	PROPN
bitcs-2759	250	11	,	,	PUNCT
bitcs-2759	250	12	d.	d.	PROPN
bitcs-2759	250	13	mcallester	mcallester	PROPN
bitcs-2759	250	14	,	,	PUNCT
bitcs-2759	250	15	and	and	CCONJ
bitcs-2759	250	16	d.	d.	PROPN
bitcs-2759	250	17	ramanan	ramanan	PROPN
bitcs-2759	250	18	,	,	PUNCT
bitcs-2759	250	19	“	"	PUNCT
bitcs-2759	250	20	object	object	VERB
bitcs-2759	250	21	detection	detection	NOUN
bitcs-2759	250	22	with	with	ADP
bitcs-2759	250	23	discriminatively	discriminatively	ADV
bitcs-2759	250	24	trained	train	VERB
bitcs-2759	250	25	part	part	NOUN
bitcs-2759	250	26	based	base	VERB
bitcs-2759	250	27	models	model	NOUN
bitcs-2759	250	28	,	,	PUNCT
bitcs-2759	250	29	"	"	PUNCT
bitcs-2759	250	30	ieee	ieee	NOUN
bitcs-2759	250	31	tpami	tpami	NOUN
bitcs-2759	250	32	,	,	PUNCT
bitcs-2759	250	33	2009	2009	NUM
bitcs-2759	250	34	.	.	PUNCT
bitcs-2759	251	1	[	[	X
bitcs-2759	251	2	32	32	NUM
bitcs-2759	251	3	]	]	PUNCT
bitcs-2759	251	4	a.	a.	NOUN
bitcs-2759	251	5	vedaldi	vedaldi	PROPN
bitcs-2759	251	6	and	and	CCONJ
bitcs-2759	251	7	a.	a.	NOUN
bitcs-2759	251	8	zisserman	zisserman	PROPN
bitcs-2759	251	9	,	,	PUNCT
bitcs-2759	251	10	“	"	PUNCT
bitcs-2759	251	11	efficient	efficient	ADJ
bitcs-2759	251	12	additive	additive	ADJ
bitcs-2759	251	13	kernels	kernel	NOUN
bitcs-2759	251	14	via	via	ADP
bitcs-2759	251	15	explicit	explicit	ADJ
bitcs-2759	251	16	feature	feature	NOUN
bitcs-2759	251	17	maps	map	NOUN
bitcs-2759	251	18	,	,	PUNCT
bitcs-2759	251	19	"	"	PUNCT
bitcs-2759	251	20	in	in	ADP
bitcs-2759	251	21	cvpr	cvpr	NOUN
bitcs-2759	251	22	,	,	PUNCT
bitcs-2759	251	23	2010	2010	NUM
bitcs-2759	251	24	[	[	X
bitcs-2759	251	25	33	33	NUM
bitcs-2759	251	26	]	]	SYM
bitcs-2759	251	27	wu	wu	PROPN
bitcs-2759	251	28	,	,	PUNCT
bitcs-2759	251	29	z.	z.	PROPN
bitcs-2759	251	30	,	,	PUNCT
bitcs-2759	251	31	xiong	xiong	PROPN
bitcs-2759	251	32	,	,	PUNCT
bitcs-2759	251	33	y.	y.	PROPN
bitcs-2759	251	34	,	,	PUNCT
bitcs-2759	251	35	yu	yu	PROPN
bitcs-2759	251	36	,	,	PUNCT
bitcs-2759	251	37	s.	s.	PROPN
bitcs-2759	251	38	,	,	PUNCT
bitcs-2759	251	39	&	&	CCONJ
bitcs-2759	251	40	lin	lin	PROPN
bitcs-2759	251	41	,	,	PUNCT
bitcs-2759	251	42	d.	d.	PROPN
bitcs-2759	251	43	(	(	PUNCT
bitcs-2759	251	44	2018	2018	NUM
bitcs-2759	251	45	)	)	PUNCT
bitcs-2759	251	46	.	.	PUNCT
bitcs-2759	252	1	unsupervised	unsupervised	ADJ
bitcs-2759	252	2	feature	feature	NOUN
bitcs-2759	252	3	learning	learn	VERB
bitcs-2759	252	4	via	via	ADP
bitcs-2759	252	5	non	non	ADJ
bitcs-2759	252	6	parametric	parametric	PROPN
bitcs-2759	252	7	instance	instance	NOUN
bitcs-2759	252	8	-	-	PUNCT
bitcs-2759	252	9	level	level	NOUN
bitcs-2759	252	10	discrimination	discrimination	NOUN
bitcs-2759	252	11	.	.	PUNCT
bitcs-2759	253	1	arxiv	arxiv	PROPN
bitcs-2759	253	2	preprint	preprint	NOUN
bitcs-2759	253	3	arxiv:1805.01978	arxiv:1805.01978	NOUN
bitcs-2759	253	4	.	.	PUNCT
bitcs-2759	254	1	[	[	X
bitcs-2759	254	2	34	34	NUM
bitcs-2759	254	3	]	]	X
bitcs-2759	254	4	gorokhovatskyi	gorokhovatskyi	NOUN
bitcs-2759	254	5	,	,	PUNCT
bitcs-2759	254	6	v.	v.	PROPN
bitcs-2759	254	7	о	о	PROPN
bitcs-2759	254	8	.	.	PROPN
bitcs-2759	254	9	,	,	PUNCT
bitcs-2759	254	10	tvoroshenko	tvoroshenko	PROPN
bitcs-2759	254	11	,	,	PUNCT
bitcs-2759	254	12	i.	i.	PROPN
bitcs-2759	254	13	s.	s.	PROPN
bitcs-2759	254	14	,	,	PUNCT
bitcs-2759	254	15	&	&	CCONJ
bitcs-2759	254	16	vlasenko	vlasenko	PROPN
bitcs-2759	254	17	,	,	PUNCT
bitcs-2759	254	18	n.	n.	PROPN
bitcs-2759	254	19	v.	v.	PROPN
bitcs-2759	254	20	(	(	PUNCT
bitcs-2759	254	21	2020	2020	NUM
bitcs-2759	254	22	)	)	PUNCT
bitcs-2759	254	23	.	.	PUNCT
bitcs-2759	255	1	using	use	VERB
bitcs-2759	255	2	fuzzy	fuzzy	ADJ
bitcs-2759	255	3	clustering	clustering	NOUN
bitcs-2759	255	4	in	in	ADP
bitcs-2759	255	5	structural	structural	ADJ
bitcs-2759	255	6	methods	method	NOUN
bitcs-2759	255	7	of	of	ADP
bitcs-2759	255	8	image	image	NOUN
bitcs-2759	255	9	classification	classification	NOUN
bitcs-2759	255	10	.	.	PUNCT
bitcs-2759	256	1	telecommunications	telecommunication	NOUN
bitcs-2759	256	2	and	and	CCONJ
bitcs-2759	256	3	radio	radio	NOUN
bitcs-2759	256	4	engineering	engineering	NOUN
bitcs-2759	256	5	,	,	PUNCT
bitcs-2759	256	6	79(9	79(9	NOUN
bitcs-2759	256	7	)	)	PUNCT
bitcs-2759	256	8	.	.	PUNCT
bitcs-2759	257	1	[	[	X
bitcs-2759	257	2	35	35	NUM
bitcs-2759	257	3	]	]	X
bitcs-2759	257	4	chen	chen	PROPN
bitcs-2759	257	5	,	,	PUNCT
bitcs-2759	257	6	r.	r.	PROPN
bitcs-2759	257	7	c.	c.	PROPN
bitcs-2759	257	8	(	(	PUNCT
bitcs-2759	257	9	2019	2019	NUM
bitcs-2759	257	10	)	)	PUNCT
bitcs-2759	257	11	.	.	PUNCT
bitcs-2759	258	1	automatic	automatic	ADJ
bitcs-2759	258	2	license	license	NOUN
bitcs-2759	258	3	plate	plate	NOUN
bitcs-2759	258	4	recognition	recognition	NOUN
bitcs-2759	258	5	via	via	ADP
bitcs-2759	258	6	sliding	slide	VERB
bitcs-2759	258	7	-	-	PUNCT
bitcs-2759	258	8	window	window	NOUN
bitcs-2759	258	9	darknet	darknet	NOUN
bitcs-2759	258	10	-	-	PUNCT
bitcs-2759	258	11	yolo	yolo	ADJ
bitcs-2759	258	12	deep	deep	ADJ
bitcs-2759	258	13	learning	learning	NOUN
bitcs-2759	258	14	.	.	PUNCT
bitcs-2759	259	1	image	image	NOUN
bitcs-2759	259	2	and	and	CCONJ
bitcs-2759	259	3	vision	vision	NOUN
bitcs-2759	259	4	computing	computing	NOUN
bitcs-2759	259	5	,	,	PUNCT
bitcs-2759	259	6	87	87	NUM
bitcs-2759	259	7	,	,	PUNCT
bitcs-2759	259	8	47	47	NUM
bitcs-2759	259	9	-	-	SYM
bitcs-2759	259	10	56	56	NUM
bitcs-2759	259	11	.	.	PUNCT