id	sid	tid	token	lemma	pos
fcis-5414	1	1	frontiers	frontier	NOUN
fcis-5414	1	2	in	in	ADP
fcis-5414	1	3	computing	computing	NOUN
fcis-5414	1	4	and	and	CCONJ
fcis-5414	1	5	intelligent	intelligent	ADJ
fcis-5414	1	6	systems	system	NOUN
fcis-5414	1	7	issn	issn	VERB
fcis-5414	1	8	:	:	PUNCT
fcis-5414	1	9	2832	2832	NUM
fcis-5414	1	10	-	-	SYM
fcis-5414	1	11	6024	6024	NUM
fcis-5414	1	12	|	|	NOUN
fcis-5414	1	13	vol	vol	NOUN
fcis-5414	1	14	.	.	PROPN
fcis-5414	2	1	2	2	NUM
fcis-5414	2	2	,	,	PUNCT
fcis-5414	2	3	no	no	INTJ
fcis-5414	2	4	.	.	NOUN
fcis-5414	2	5	3	3	NUM
fcis-5414	2	6	,	,	PUNCT
fcis-5414	2	7	2022	2022	NUM
fcis-5414	2	8	109	109	NUM
fcis-5414	2	9	object	object	NOUN
fcis-5414	2	10	detection	detection	NOUN
fcis-5414	2	11	in	in	ADP
fcis-5414	2	12	junk	junk	NOUN
fcis-5414	2	13	image	image	NOUN
fcis-5414	2	14	based	base	VERB
fcis-5414	2	15	on	on	ADP
fcis-5414	2	16	ssd	ssd	PROPN
fcis-5414	2	17	model	model	PROPN
fcis-5414	2	18	zhihao	zhihao	PROPN
fcis-5414	2	19	guan	guan	PROPN
fcis-5414	2	20	yunnan	yunnan	PROPN
fcis-5414	2	21	university	university	PROPN
fcis-5414	2	22	of	of	ADP
fcis-5414	2	23	finance	finance	NOUN
fcis-5414	2	24	and	and	CCONJ
fcis-5414	2	25	economics	economic	NOUN
fcis-5414	2	26	,	,	PUNCT
fcis-5414	2	27	school	school	NOUN
fcis-5414	2	28	of	of	ADP
fcis-5414	2	29	information	information	NOUN
fcis-5414	2	30	,	,	PUNCT
fcis-5414	2	31	kunming	kunming	PROPN
fcis-5414	2	32	650221	650221	NUM
fcis-5414	2	33	,	,	PUNCT
fcis-5414	2	34	china	china	PROPN
fcis-5414	2	35	guanzhihao1997@163.com	guanzhihao1997@163.com	PROPN
fcis-5414	2	36	.	.	PUNCT
fcis-5414	3	1	abstract	abstract	PROPN
fcis-5414	3	2	:	:	PUNCT
fcis-5414	3	3	this	this	DET
fcis-5414	3	4	paper	paper	NOUN
fcis-5414	3	5	first	first	ADV
fcis-5414	3	6	introduces	introduce	VERB
fcis-5414	3	7	the	the	DET
fcis-5414	3	8	background	background	NOUN
fcis-5414	3	9	and	and	CCONJ
fcis-5414	3	10	significance	significance	NOUN
fcis-5414	3	11	of	of	ADP
fcis-5414	3	12	the	the	DET
fcis-5414	3	13	direction	direction	NOUN
fcis-5414	3	14	in	in	ADP
fcis-5414	3	15	target	target	NOUN
fcis-5414	3	16	detection	detection	NOUN
fcis-5414	3	17	,	,	PUNCT
fcis-5414	3	18	and	and	CCONJ
fcis-5414	3	19	introduces	introduce	VERB
fcis-5414	3	20	other	other	ADJ
fcis-5414	3	21	target	target	NOUN
fcis-5414	3	22	detection	detection	NOUN
fcis-5414	3	23	methods	method	NOUN
fcis-5414	3	24	besides	besides	SCONJ
fcis-5414	3	25	ssd	ssd	PROPN
fcis-5414	3	26	.	.	PUNCT
fcis-5414	4	1	secondly	secondly	ADV
fcis-5414	4	2	,	,	PUNCT
fcis-5414	4	3	this	this	DET
fcis-5414	4	4	paper	paper	NOUN
fcis-5414	4	5	also	also	ADV
fcis-5414	4	6	introduces	introduce	VERB
fcis-5414	4	7	the	the	DET
fcis-5414	4	8	principle	principle	NOUN
fcis-5414	4	9	and	and	CCONJ
fcis-5414	4	10	implementation	implementation	NOUN
fcis-5414	4	11	process	process	NOUN
fcis-5414	4	12	of	of	ADP
fcis-5414	4	13	ssd	ssd	NOUN
fcis-5414	4	14	.	.	PUNCT
fcis-5414	5	1	it	it	PRON
fcis-5414	5	2	describes	describe	VERB
fcis-5414	5	3	in	in	ADP
fcis-5414	5	4	detail	detail	NOUN
fcis-5414	5	5	the	the	DET
fcis-5414	5	6	important	important	ADJ
fcis-5414	5	7	steps	step	NOUN
fcis-5414	5	8	to	to	PART
fcis-5414	5	9	implement	implement	VERB
fcis-5414	5	10	ssd	ssd	NOUN
fcis-5414	5	11	and	and	CCONJ
fcis-5414	5	12	attaches	attach	VERB
fcis-5414	5	13	relevant	relevant	ADJ
fcis-5414	5	14	codes	code	NOUN
fcis-5414	5	15	.	.	PUNCT
fcis-5414	6	1	finally	finally	ADV
fcis-5414	6	2	,	,	PUNCT
fcis-5414	6	3	the	the	DET
fcis-5414	6	4	achieved	achieve	VERB
fcis-5414	6	5	results	result	NOUN
fcis-5414	6	6	are	be	AUX
fcis-5414	6	7	compared	compare	VERB
fcis-5414	6	8	with	with	ADP
fcis-5414	6	9	different	different	ADJ
fcis-5414	6	10	methods	method	NOUN
fcis-5414	6	11	,	,	PUNCT
fcis-5414	6	12	different	different	ADJ
fcis-5414	6	13	data	data	NOUN
fcis-5414	6	14	sets	set	NOUN
fcis-5414	6	15	voc	voc	NOUN
fcis-5414	6	16	07	07	NUM
fcis-5414	6	17	and	and	CCONJ
fcis-5414	6	18	networks	network	NOUN
fcis-5414	6	19	using	use	VERB
fcis-5414	6	20	different	different	ADJ
fcis-5414	6	21	methods	method	NOUN
fcis-5414	6	22	,	,	PUNCT
fcis-5414	6	23	and	and	CCONJ
fcis-5414	6	24	conclusions	conclusion	NOUN
fcis-5414	6	25	are	be	AUX
fcis-5414	6	26	drawn	draw	VERB
fcis-5414	6	27	.	.	PUNCT
fcis-5414	7	1	keywords	keyword	NOUN
fcis-5414	7	2	:	:	PUNCT
fcis-5414	7	3	target	target	VERB
fcis-5414	7	4	detection	detection	NOUN
fcis-5414	7	5	;	;	PUNCT
fcis-5414	7	6	ssd	ssd	NOUN
fcis-5414	7	7	;	;	PUNCT
fcis-5414	7	8	single	single	ADJ
fcis-5414	7	9	-	-	PUNCT
fcis-5414	7	10	shot	shoot	VERB
fcis-5414	7	11	multi	multi	ADJ
fcis-5414	7	12	-	-	ADJ
fcis-5414	7	13	frame	frame	ADJ
fcis-5414	7	14	detection	detection	NOUN
fcis-5414	7	15	;	;	PUNCT
fcis-5414	7	16	taco	taco	NOUN
fcis-5414	7	17	dataset	dataset	NOUN
fcis-5414	7	18	;	;	PUNCT
fcis-5414	7	19	garbage	garbage	NOUN
fcis-5414	7	20	detection	detection	NOUN
fcis-5414	7	21	.	.	PUNCT
fcis-5414	8	1	1	1	X
fcis-5414	8	2	.	.	X
fcis-5414	8	3	introduction	introduction	NOUN
fcis-5414	8	4	1.1	1.1	NUM
fcis-5414	8	5	.	.	PUNCT
fcis-5414	9	1	background	background	NOUN
fcis-5414	9	2	and	and	CCONJ
fcis-5414	9	3	significance	significance	NOUN
fcis-5414	9	4	vision	vision	NOUN
fcis-5414	9	5	plays	play	VERB
fcis-5414	9	6	an	an	DET
fcis-5414	9	7	extremely	extremely	ADV
fcis-5414	9	8	important	important	ADJ
fcis-5414	9	9	role	role	NOUN
fcis-5414	9	10	in	in	ADP
fcis-5414	9	11	human	human	ADJ
fcis-5414	9	12	perception	perception	NOUN
fcis-5414	9	13	and	and	CCONJ
fcis-5414	9	14	acquisition	acquisition	NOUN
fcis-5414	9	15	of	of	ADP
fcis-5414	9	16	external	external	ADJ
fcis-5414	9	17	world	world	NOUN
fcis-5414	9	18	information	information	NOUN
fcis-5414	9	19	,	,	PUNCT
fcis-5414	9	20	and	and	CCONJ
fcis-5414	9	21	images	image	NOUN
fcis-5414	9	22	are	be	AUX
fcis-5414	9	23	the	the	DET
fcis-5414	9	24	most	most	ADV
fcis-5414	9	25	reliable	reliable	ADJ
fcis-5414	9	26	and	and	CCONJ
fcis-5414	9	27	direct	direct	ADJ
fcis-5414	9	28	carrier	carrier	NOUN
fcis-5414	9	29	to	to	PART
fcis-5414	9	30	convey	convey	VERB
fcis-5414	9	31	visual	visual	ADJ
fcis-5414	9	32	information	information	NOUN
fcis-5414	9	33	.	.	PUNCT
fcis-5414	10	1	computer	computer	NOUN
fcis-5414	10	2	vision	vision	NOUN
fcis-5414	10	3	is	be	AUX
fcis-5414	10	4	a	a	DET
fcis-5414	10	5	discipline	discipline	NOUN
fcis-5414	10	6	in	in	ADP
fcis-5414	10	7	which	which	PRON
fcis-5414	10	8	human	human	ADJ
fcis-5414	10	9	beings	being	NOUN
fcis-5414	10	10	’	'	PUNCT
fcis-5414	10	11	study	study	VERB
fcis-5414	10	12	how	how	SCONJ
fcis-5414	10	13	to	to	PART
fcis-5414	10	14	use	use	VERB
fcis-5414	10	15	computers	computer	NOUN
fcis-5414	10	16	to	to	PART
fcis-5414	10	17	process	process	VERB
fcis-5414	10	18	and	and	CCONJ
fcis-5414	10	19	analyze	analyze	VERB
fcis-5414	10	20	image	image	NOUN
fcis-5414	10	21	information	information	NOUN
fcis-5414	10	22	like	like	ADP
fcis-5414	10	23	the	the	DET
fcis-5414	10	24	human	human	ADJ
fcis-5414	10	25	brain	brain	NOUN
fcis-5414	10	26	.	.	PUNCT
fcis-5414	11	1	as	as	SCONJ
fcis-5414	11	2	one	one	NUM
fcis-5414	11	3	of	of	ADP
fcis-5414	11	4	the	the	DET
fcis-5414	11	5	most	most	ADV
fcis-5414	11	6	basic	basic	ADJ
fcis-5414	11	7	problems	problem	NOUN
fcis-5414	11	8	in	in	ADP
fcis-5414	11	9	the	the	DET
fcis-5414	11	10	field	field	NOUN
fcis-5414	11	11	of	of	ADP
fcis-5414	11	12	computer	computer	NOUN
fcis-5414	11	13	vision	vision	NOUN
fcis-5414	11	14	,	,	PUNCT
fcis-5414	11	15	object	object	VERB
fcis-5414	11	16	detection	detection	NOUN
fcis-5414	11	17	(	(	PUNCT
fcis-5414	11	18	object	object	NOUN
fcis-5414	11	19	detection	detection	NOUN
fcis-5414	11	20	)	)	PUNCT
fcis-5414	11	21	lays	lay	VERB
fcis-5414	11	22	the	the	DET
fcis-5414	11	23	foundation	foundation	NOUN
fcis-5414	11	24	for	for	ADP
fcis-5414	11	25	solving	solve	VERB
fcis-5414	11	26	more	more	ADV
fcis-5414	11	27	complex	complex	ADJ
fcis-5414	11	28	or	or	CCONJ
fcis-5414	11	29	higher	high	ADJ
fcis-5414	11	30	-	-	PUNCT
fcis-5414	11	31	level	level	NOUN
fcis-5414	11	32	visual	visual	ADJ
fcis-5414	11	33	tasks	task	NOUN
fcis-5414	11	34	such	such	ADJ
fcis-5414	11	35	as	as	ADP
fcis-5414	11	36	image	image	NOUN
fcis-5414	11	37	segmentation	segmentation	NOUN
fcis-5414	11	38	,	,	PUNCT
fcis-5414	11	39	image	image	NOUN
fcis-5414	11	40	understanding	understanding	NOUN
fcis-5414	11	41	,	,	PUNCT
fcis-5414	11	42	image	image	NOUN
fcis-5414	11	43	captioning	captioning	NOUN
fcis-5414	11	44	,	,	PUNCT
fcis-5414	11	45	object	object	VERB
fcis-5414	11	46	tracking	tracking	NOUN
fcis-5414	11	47	,	,	PUNCT
fcis-5414	11	48	and	and	CCONJ
fcis-5414	11	49	activity	activity	NOUN
fcis-5414	11	50	recognition	recognition	NOUN
fcis-5414	11	51	.	.	PUNCT
fcis-5414	12	1	at	at	ADP
fcis-5414	12	2	the	the	DET
fcis-5414	12	3	same	same	ADJ
fcis-5414	12	4	time	time	NOUN
fcis-5414	12	5	,	,	PUNCT
fcis-5414	12	6	it	it	PRON
fcis-5414	12	7	has	have	VERB
fcis-5414	12	8	a	a	DET
fcis-5414	12	9	wide	wide	ADJ
fcis-5414	12	10	range	range	NOUN
fcis-5414	12	11	of	of	ADP
fcis-5414	12	12	applications	application	NOUN
fcis-5414	12	13	in	in	ADP
fcis-5414	12	14	the	the	DET
fcis-5414	12	15	fields	field	NOUN
fcis-5414	12	16	of	of	ADP
fcis-5414	12	17	artificial	artificial	ADJ
fcis-5414	12	18	intelligence	intelligence	NOUN
fcis-5414	12	19	and	and	CCONJ
fcis-5414	12	20	information	information	NOUN
fcis-5414	12	21	technology	technology	NOUN
fcis-5414	12	22	,	,	PUNCT
fcis-5414	12	23	including	include	VERB
fcis-5414	12	24	robot	robot	NOUN
fcis-5414	12	25	vision	vision	NOUN
fcis-5414	12	26	,	,	PUNCT
fcis-5414	12	27	security	security	NOUN
fcis-5414	12	28	,	,	PUNCT
fcis-5414	12	29	consumer	consumer	NOUN
fcis-5414	12	30	electronics	electronic	NOUN
fcis-5414	12	31	,	,	PUNCT
fcis-5414	12	32	autonomous	autonomous	ADJ
fcis-5414	12	33	driving	driving	NOUN
fcis-5414	12	34	,	,	PUNCT
fcis-5414	12	35	human	human	NOUN
fcis-5414	12	36	-	-	PUNCT
fcis-5414	12	37	computer	computer	NOUN
fcis-5414	12	38	interaction	interaction	NOUN
fcis-5414	12	39	,	,	PUNCT
fcis-5414	12	40	intelligent	intelligent	ADJ
fcis-5414	12	41	video	video	NOUN
fcis-5414	12	42	surveillance	surveillance	NOUN
fcis-5414	12	43	,	,	PUNCT
fcis-5414	12	44	and	and	CCONJ
fcis-5414	12	45	reality	reality	NOUN
fcis-5414	12	46	augmentation	augmentation	NOUN
fcis-5414	12	47	.	.	PUNCT
fcis-5414	13	1	as	as	SCONJ
fcis-5414	13	2	shown	show	VERB
fcis-5414	13	3	,	,	PUNCT
fcis-5414	13	4	the	the	DET
fcis-5414	13	5	definition	definition	NOUN
fcis-5414	13	6	of	of	ADP
fcis-5414	13	7	object	object	NOUN
fcis-5414	13	8	detection	detection	NOUN
fcis-5414	13	9	is	be	AUX
fcis-5414	13	10	to	to	PART
fcis-5414	13	11	determine	determine	VERB
fcis-5414	13	12	whether	whether	SCONJ
fcis-5414	13	13	any	any	DET
fcis-5414	13	14	object	object	NOUN
fcis-5414	13	15	instance	instance	NOUN
fcis-5414	13	16	from	from	ADP
fcis-5414	13	17	a	a	DET
fcis-5414	13	18	certain	certain	ADJ
fcis-5414	13	19	category	category	NOUN
fcis-5414	13	20	(	(	PUNCT
fcis-5414	13	21	such	such	ADJ
fcis-5414	13	22	as	as	ADP
fcis-5414	13	23	human	human	NOUN
fcis-5414	13	24	,	,	PUNCT
fcis-5414	13	25	bicycle	bicycle	NOUN
fcis-5414	13	26	,	,	PUNCT
fcis-5414	13	27	tv	tv	NOUN
fcis-5414	13	28	,	,	PUNCT
fcis-5414	13	29	dog	dog	NOUN
fcis-5414	13	30	and	and	CCONJ
fcis-5414	13	31	cat	cat	NOUN
fcis-5414	13	32	,	,	PUNCT
fcis-5414	13	33	etc	etc	X
fcis-5414	13	34	.	.	X
fcis-5414	13	35	)	)	PUNCT
fcis-5414	13	36	exists	exist	VERB
fcis-5414	13	37	in	in	ADP
fcis-5414	13	38	a	a	DET
fcis-5414	13	39	given	give	VERB
fcis-5414	13	40	input	input	NOUN
fcis-5414	13	41	image	image	NOUN
fcis-5414	13	42	,	,	PUNCT
fcis-5414	13	43	and	and	CCONJ
fcis-5414	13	44	if	if	SCONJ
fcis-5414	13	45	so	so	ADV
fcis-5414	13	46	,	,	PUNCT
fcis-5414	13	47	return	return	VERB
fcis-5414	13	48	the	the	DET
fcis-5414	13	49	spatial	spatial	ADJ
fcis-5414	13	50	location	location	NOUN
fcis-5414	13	51	and	and	CCONJ
fcis-5414	13	52	extent	extent	NOUN
fcis-5414	13	53	,	,	PUNCT
fcis-5414	13	54	which	which	PRON
fcis-5414	13	55	aims	aim	VERB
fcis-5414	13	56	to	to	PART
fcis-5414	13	57	locate	locate	VERB
fcis-5414	13	58	and	and	CCONJ
fcis-5414	13	59	identify	identify	VERB
fcis-5414	13	60	a	a	DET
fcis-5414	13	61	wide	wide	ADJ
fcis-5414	13	62	range	range	NOUN
fcis-5414	13	63	of	of	ADP
fcis-5414	13	64	natural	natural	ADJ
fcis-5414	13	65	object	object	NOUN
fcis-5414	13	66	categories	category	NOUN
fcis-5414	13	67	.	.	PUNCT
fcis-5414	14	1	the	the	DET
fcis-5414	14	2	ideal	ideal	ADJ
fcis-5414	14	3	goal	goal	NOUN
fcis-5414	14	4	for	for	ADP
fcis-5414	14	5	object	object	NOUN
fcis-5414	14	6	detection	detection	NOUN
fcis-5414	14	7	is	be	AUX
fcis-5414	14	8	to	to	PART
fcis-5414	14	9	develop	develop	VERB
fcis-5414	14	10	algorithms	algorithm	NOUN
fcis-5414	14	11	that	that	PRON
fcis-5414	14	12	achieve	achieve	VERB
fcis-5414	14	13	two	two	NUM
fcis-5414	14	14	goals	goal	NOUN
fcis-5414	14	15	:	:	PUNCT
fcis-5414	14	16	high	high	ADJ
fcis-5414	14	17	accuracy	accuracy	NOUN
fcis-5414	14	18	and	and	CCONJ
fcis-5414	14	19	high	high	ADJ
fcis-5414	14	20	efficiency	efficiency	NOUN
fcis-5414	14	21	.	.	PUNCT
fcis-5414	15	1	however	however	ADV
fcis-5414	15	2	,	,	PUNCT
fcis-5414	15	3	in	in	ADP
fcis-5414	15	4	the	the	DET
fcis-5414	15	5	field	field	NOUN
fcis-5414	15	6	of	of	ADP
fcis-5414	15	7	target	target	NOUN
fcis-5414	15	8	detection	detection	NOUN
fcis-5414	15	9	,	,	PUNCT
fcis-5414	15	10	it	it	PRON
fcis-5414	15	11	is	be	AUX
fcis-5414	15	12	often	often	ADV
fcis-5414	15	13	difficult	difficult	ADJ
fcis-5414	15	14	to	to	PART
fcis-5414	15	15	have	have	VERB
fcis-5414	15	16	both	both	CCONJ
fcis-5414	15	17	the	the	DET
fcis-5414	15	18	detection	detection	NOUN
fcis-5414	15	19	speed	speed	NOUN
fcis-5414	15	20	and	and	CCONJ
fcis-5414	15	21	accuracy	accuracy	NOUN
fcis-5414	15	22	of	of	ADP
fcis-5414	15	23	the	the	DET
fcis-5414	15	24	system	system	NOUN
fcis-5414	15	25	.	.	PUNCT
fcis-5414	16	1	usually	usually	ADV
fcis-5414	16	2	,	,	PUNCT
fcis-5414	16	3	high	high	ADJ
fcis-5414	16	4	accuracy	accuracy	NOUN
fcis-5414	16	5	means	mean	VERB
fcis-5414	16	6	that	that	SCONJ
fcis-5414	16	7	the	the	DET
fcis-5414	16	8	speed	speed	NOUN
fcis-5414	16	9	is	be	AUX
fcis-5414	16	10	relatively	relatively	ADV
fcis-5414	16	11	slow	slow	ADJ
fcis-5414	16	12	,	,	PUNCT
fcis-5414	16	13	while	while	SCONJ
fcis-5414	16	14	high	high	ADJ
fcis-5414	16	15	efficiency	efficiency	NOUN
fcis-5414	16	16	means	mean	VERB
fcis-5414	16	17	that	that	SCONJ
fcis-5414	16	18	the	the	DET
fcis-5414	16	19	accuracy	accuracy	NOUN
fcis-5414	16	20	is	be	AUX
fcis-5414	16	21	relatively	relatively	ADV
fcis-5414	16	22	low	low	ADJ
fcis-5414	16	23	.	.	PUNCT
fcis-5414	17	1	high	high	ADJ
fcis-5414	17	2	-	-	PUNCT
fcis-5414	17	3	accuracy	accuracy	NOUN
fcis-5414	17	4	detection	detection	NOUN
fcis-5414	17	5	must	must	AUX
fcis-5414	17	6	accurately	accurately	ADV
fcis-5414	17	7	locate	locate	VERB
fcis-5414	17	8	and	and	CCONJ
fcis-5414	17	9	identify	identify	VERB
fcis-5414	17	10	objects	object	NOUN
fcis-5414	17	11	,	,	PUNCT
fcis-5414	17	12	distinguishing	distinguish	VERB
fcis-5414	17	13	a	a	DET
fcis-5414	17	14	wide	wide	ADJ
fcis-5414	17	15	variety	variety	NOUN
fcis-5414	17	16	of	of	ADP
fcis-5414	17	17	object	object	NOUN
fcis-5414	17	18	classes	class	NOUN
fcis-5414	17	19	.	.	PUNCT
fcis-5414	18	1	high	high	ADJ
fcis-5414	18	2	efficiency	efficiency	NOUN
fcis-5414	18	3	requires	require	VERB
fcis-5414	18	4	detection	detection	NOUN
fcis-5414	18	5	tasks	task	NOUN
fcis-5414	18	6	to	to	PART
fcis-5414	18	7	run	run	VERB
fcis-5414	18	8	at	at	ADP
fcis-5414	18	9	a	a	DET
fcis-5414	18	10	sufficiently	sufficiently	ADV
fcis-5414	18	11	high	high	ADJ
fcis-5414	18	12	frame	frame	NOUN
fcis-5414	18	13	rate	rate	NOUN
fcis-5414	18	14	,	,	PUNCT
fcis-5414	18	15	that	that	ADV
fcis-5414	18	16	is	is	ADV
fcis-5414	18	17	,	,	PUNCT
fcis-5414	18	18	to	to	PART
fcis-5414	18	19	achieve	achieve	VERB
fcis-5414	18	20	real	real	ADJ
fcis-5414	18	21	-	-	PUNCT
fcis-5414	18	22	time	time	NOUN
fcis-5414	18	23	detection	detection	NOUN
fcis-5414	18	24	.	.	PUNCT
fcis-5414	19	1	despite	despite	SCONJ
fcis-5414	19	2	decades	decade	NOUN
fcis-5414	19	3	of	of	ADP
fcis-5414	19	4	research	research	NOUN
fcis-5414	19	5	,	,	PUNCT
fcis-5414	19	6	the	the	DET
fcis-5414	19	7	combined	combined	ADJ
fcis-5414	19	8	goal	goal	NOUN
fcis-5414	19	9	of	of	ADP
fcis-5414	19	10	high	high	ADJ
fcis-5414	19	11	accuracy	accuracy	NOUN
fcis-5414	19	12	and	and	CCONJ
fcis-5414	19	13	speed	speed	NOUN
fcis-5414	19	14	has	have	VERB
fcis-5414	19	15	yet	yet	ADV
fcis-5414	19	16	to	to	PART
fcis-5414	19	17	be	be	AUX
fcis-5414	19	18	achieved	achieve	VERB
fcis-5414	19	19	.	.	PUNCT
fcis-5414	20	1	among	among	ADP
fcis-5414	20	2	these	these	DET
fcis-5414	20	3	many	many	ADJ
fcis-5414	20	4	target	target	NOUN
fcis-5414	20	5	detection	detection	NOUN
fcis-5414	20	6	algorithms	algorithm	NOUN
fcis-5414	20	7	,	,	PUNCT
fcis-5414	20	8	the	the	DET
fcis-5414	20	9	single	single	ADJ
fcis-5414	20	10	shot	shot	NOUN
fcis-5414	20	11	multibox	multibox	NOUN
fcis-5414	20	12	detector	detector	NOUN
fcis-5414	20	13	algorithm	algorithm	NOUN
fcis-5414	20	14	(	(	PUNCT
fcis-5414	20	15	single	single	ADJ
fcis-5414	20	16	shot	shot	NOUN
fcis-5414	20	17	multibox	multibox	PROPN
fcis-5414	20	18	detector	detector	NOUN
fcis-5414	20	19	,	,	PUNCT
fcis-5414	20	20	ssd	ssd	PROPN
fcis-5414	20	21	)	)	PUNCT
fcis-5414	20	22	uses	use	VERB
fcis-5414	20	23	multi	multi	ADJ
fcis-5414	20	24	-	-	ADJ
fcis-5414	20	25	scale	scale	ADJ
fcis-5414	20	26	features	feature	NOUN
fcis-5414	20	27	to	to	PART
fcis-5414	20	28	detect	detect	VERB
fcis-5414	20	29	targets	target	NOUN
fcis-5414	20	30	of	of	ADP
fcis-5414	20	31	different	different	ADJ
fcis-5414	20	32	sizes	size	NOUN
fcis-5414	20	33	,	,	PUNCT
fcis-5414	20	34	which	which	PRON
fcis-5414	20	35	is	be	AUX
fcis-5414	20	36	a	a	DET
fcis-5414	20	37	relatively	relatively	ADV
fcis-5414	20	38	fast	fast	ADJ
fcis-5414	20	39	and	and	CCONJ
fcis-5414	20	40	robust	robust	ADJ
fcis-5414	20	41	method	method	NOUN
fcis-5414	20	42	,	,	PUNCT
fcis-5414	20	43	so	so	SCONJ
fcis-5414	20	44	as	as	ADP
fcis-5414	20	45	a	a	DET
fcis-5414	20	46	the	the	DET
fcis-5414	20	47	basic	basic	ADJ
fcis-5414	20	48	algorithm	algorithm	NOUN
fcis-5414	20	49	framework	framework	NOUN
fcis-5414	20	50	,	,	PUNCT
fcis-5414	20	51	which	which	PRON
fcis-5414	20	52	is	be	AUX
fcis-5414	20	53	widely	widely	ADV
fcis-5414	20	54	used	use	VERB
fcis-5414	20	55	in	in	ADP
fcis-5414	20	56	face	face	NOUN
fcis-5414	20	57	recognition	recognition	NOUN
fcis-5414	20	58	,	,	PUNCT
fcis-5414	20	59	pedestrian	pedestrian	NOUN
fcis-5414	20	60	detection	detection	NOUN
fcis-5414	20	61	and	and	CCONJ
fcis-5414	20	62	tracking	tracking	NOUN
fcis-5414	20	63	,	,	PUNCT
fcis-5414	20	64	road	road	NOUN
fcis-5414	20	65	vehicle	vehicle	NOUN
fcis-5414	20	66	detection	detection	NOUN
fcis-5414	20	67	,	,	PUNCT
fcis-5414	20	68	license	license	NOUN
fcis-5414	20	69	plate	plate	NOUN
fcis-5414	20	70	recognition	recognition	NOUN
fcis-5414	20	71	and	and	CCONJ
fcis-5414	20	72	security	security	NOUN
fcis-5414	20	73	video	video	NOUN
fcis-5414	20	74	surveillance	surveillance	NOUN
fcis-5414	20	75	and	and	CCONJ
fcis-5414	20	76	other	other	ADJ
fcis-5414	20	77	fields	field	NOUN
fcis-5414	20	78	,	,	PUNCT
fcis-5414	20	79	and	and	CCONJ
fcis-5414	20	80	has	have	AUX
fcis-5414	20	81	achieved	achieve	VERB
fcis-5414	20	82	good	good	ADJ
fcis-5414	20	83	results	result	NOUN
fcis-5414	20	84	.	.	PUNCT
fcis-5414	21	1	generally	generally	ADV
fcis-5414	21	2	speaking	speak	VERB
fcis-5414	21	3	,	,	PUNCT
fcis-5414	21	4	when	when	SCONJ
fcis-5414	21	5	the	the	DET
fcis-5414	21	6	size	size	NOUN
fcis-5414	21	7	of	of	ADP
fcis-5414	21	8	the	the	DET
fcis-5414	21	9	target	target	NOUN
fcis-5414	21	10	is	be	AUX
fcis-5414	21	11	relatively	relatively	ADV
fcis-5414	21	12	small	small	ADJ
fcis-5414	21	13	relative	relative	ADJ
fcis-5414	21	14	to	to	ADP
fcis-5414	21	15	the	the	DET
fcis-5414	21	16	size	size	NOUN
fcis-5414	21	17	of	of	ADP
fcis-5414	21	18	the	the	DET
fcis-5414	21	19	entire	entire	ADJ
fcis-5414	21	20	original	original	ADJ
fcis-5414	21	21	image	image	NOUN
fcis-5414	21	22	,	,	PUNCT
fcis-5414	21	23	it	it	PRON
fcis-5414	21	24	can	can	AUX
fcis-5414	21	25	be	be	AUX
fcis-5414	21	26	called	call	VERB
fcis-5414	21	27	a	a	DET
fcis-5414	21	28	small	small	ADJ
fcis-5414	21	29	target	target	NOUN
fcis-5414	21	30	.	.	PUNCT
fcis-5414	22	1	in	in	ADP
fcis-5414	22	2	practice	practice	NOUN
fcis-5414	22	3	,	,	PUNCT
fcis-5414	22	4	objects	object	VERB
fcis-5414	22	5	with	with	ADP
fcis-5414	22	6	a	a	DET
fcis-5414	22	7	scale	scale	NOUN
fcis-5414	22	8	smaller	small	ADJ
fcis-5414	22	9	than	than	ADP
fcis-5414	22	10	32×32	32×32	NUM
fcis-5414	22	11	pixel	pixel	NOUN
fcis-5414	22	12	values	value	NOUN
fcis-5414	22	13	are	be	AUX
fcis-5414	22	14	roughly	roughly	ADV
fcis-5414	22	15	judged	judge	VERB
fcis-5414	22	16	as	as	ADP
fcis-5414	22	17	small	small	ADJ
fcis-5414	22	18	objects	object	NOUN
fcis-5414	22	19	.	.	PUNCT
fcis-5414	23	1	since	since	SCONJ
fcis-5414	23	2	the	the	DET
fcis-5414	23	3	ssd	ssd	NOUN
fcis-5414	23	4	algorithm	algorithm	NOUN
fcis-5414	23	5	does	do	AUX
fcis-5414	23	6	not	not	PART
fcis-5414	23	7	consider	consider	VERB
fcis-5414	23	8	the	the	DET
fcis-5414	23	9	connection	connection	NOUN
fcis-5414	23	10	between	between	ADP
fcis-5414	23	11	different	different	ADJ
fcis-5414	23	12	output	output	NOUN
fcis-5414	23	13	layers	layer	NOUN
fcis-5414	23	14	,	,	PUNCT
fcis-5414	23	15	it	it	PRON
fcis-5414	23	16	ignores	ignore	VERB
fcis-5414	23	17	the	the	DET
fcis-5414	23	18	context	context	NOUN
fcis-5414	23	19	information	information	NOUN
fcis-5414	23	20	that	that	PRON
fcis-5414	23	21	is	be	AUX
fcis-5414	23	22	important	important	ADJ
fcis-5414	23	23	for	for	ADP
fcis-5414	23	24	small	small	ADJ
fcis-5414	23	25	target	target	NOUN
fcis-5414	23	26	detection	detection	NOUN
fcis-5414	23	27	,	,	PUNCT
fcis-5414	23	28	which	which	PRON
fcis-5414	23	29	makes	make	VERB
fcis-5414	23	30	the	the	DET
fcis-5414	23	31	use	use	NOUN
fcis-5414	23	32	of	of	ADP
fcis-5414	23	33	feature	feature	NOUN
fcis-5414	23	34	information	information	NOUN
fcis-5414	23	35	insufficient	insufficient	NOUN
fcis-5414	23	36	,	,	PUNCT
fcis-5414	23	37	which	which	PRON
fcis-5414	23	38	will	will	AUX
fcis-5414	23	39	lead	lead	VERB
fcis-5414	23	40	to	to	ADP
fcis-5414	23	41	the	the	DET
fcis-5414	23	42	problem	problem	NOUN
fcis-5414	23	43	that	that	PRON
fcis-5414	23	44	small	small	ADJ
fcis-5414	23	45	target	target	NOUN
fcis-5414	23	46	detection	detection	NOUN
fcis-5414	23	47	is	be	AUX
fcis-5414	23	48	not	not	PART
fcis-5414	23	49	robust	robust	ADJ
fcis-5414	23	50	enough	enough	ADV
fcis-5414	23	51	.	.	PUNCT
fcis-5414	24	1	at	at	ADP
fcis-5414	24	2	the	the	DET
fcis-5414	24	3	same	same	ADJ
fcis-5414	24	4	time	time	NOUN
fcis-5414	24	5	,	,	PUNCT
fcis-5414	24	6	there	there	PRON
fcis-5414	24	7	are	be	VERB
fcis-5414	24	8	sample	sample	NOUN
fcis-5414	24	9	categories	category	NOUN
fcis-5414	24	10	and	and	CCONJ
fcis-5414	24	11	multi	multi	ADJ
fcis-5414	24	12	-	-	ADJ
fcis-5414	24	13	task	task	ADJ
fcis-5414	24	14	imbalance	imbalance	NOUN
fcis-5414	24	15	problems	problem	NOUN
fcis-5414	24	16	in	in	ADP
fcis-5414	24	17	the	the	DET
fcis-5414	24	18	training	training	NOUN
fcis-5414	24	19	process	process	NOUN
fcis-5414	24	20	.	.	PUNCT
fcis-5414	25	1	the	the	DET
fcis-5414	25	2	accumulated	accumulate	VERB
fcis-5414	25	3	loss	loss	NOUN
fcis-5414	25	4	value	value	NOUN
fcis-5414	25	5	of	of	ADP
fcis-5414	25	6	a	a	DET
fcis-5414	25	7	large	large	ADJ
fcis-5414	25	8	number	number	NOUN
fcis-5414	25	9	of	of	ADP
fcis-5414	25	10	easy	easy	ADJ
fcis-5414	25	11	-	-	PUNCT
fcis-5414	25	12	to	to	ADP
fcis-5414	25	13	-	-	PUNCT
fcis-5414	25	14	segment	segment	NOUN
fcis-5414	25	15	samples	sample	NOUN
fcis-5414	25	16	and	and	CCONJ
fcis-5414	25	17	particularly	particularly	ADV
fcis-5414	25	18	difficult	difficult	ADJ
fcis-5414	25	19	-	-	PUNCT
fcis-5414	25	20	to	to	ADP
fcis-5414	25	21	-	-	PUNCT
fcis-5414	25	22	segment	segment	NOUN
fcis-5414	25	23	samples	sample	NOUN
fcis-5414	25	24	may	may	AUX
fcis-5414	25	25	overwhelm	overwhelm	VERB
fcis-5414	25	26	the	the	DET
fcis-5414	25	27	loss	loss	NOUN
fcis-5414	25	28	of	of	ADP
fcis-5414	25	29	relatively	relatively	ADV
fcis-5414	25	30	few	few	ADJ
fcis-5414	25	31	ordinary	ordinary	ADJ
fcis-5414	25	32	difficult	difficult	ADJ
fcis-5414	25	33	-	-	PUNCT
fcis-5414	25	34	tosegment	tosegment	NOUN
fcis-5414	25	35	samples	sample	NOUN
fcis-5414	25	36	,	,	PUNCT
fcis-5414	25	37	directly	directly	ADV
fcis-5414	25	38	increasing	increase	VERB
fcis-5414	25	39	the	the	DET
fcis-5414	25	40	positioning	positioning	NOUN
fcis-5414	25	41	loss	loss	NOUN
fcis-5414	25	42	.	.	PUNCT
fcis-5414	26	1	the	the	DET
fcis-5414	26	2	weight	weight	NOUN
fcis-5414	26	3	of	of	ADP
fcis-5414	26	4	will	will	AUX
fcis-5414	26	5	make	make	VERB
fcis-5414	26	6	the	the	DET
fcis-5414	26	7	model	model	NOUN
fcis-5414	26	8	more	more	ADV
fcis-5414	26	9	sensitive	sensitive	ADJ
fcis-5414	26	10	to	to	ADP
fcis-5414	26	11	outliers	outlier	NOUN
fcis-5414	26	12	.	.	PUNCT
fcis-5414	27	1	this	this	PRON
fcis-5414	27	2	is	be	AUX
fcis-5414	27	3	not	not	PART
fcis-5414	27	4	conducive	conducive	ADJ
fcis-5414	27	5	to	to	ADP
fcis-5414	27	6	the	the	DET
fcis-5414	27	7	improvement	improvement	NOUN
fcis-5414	27	8	of	of	ADP
fcis-5414	27	9	the	the	DET
fcis-5414	27	10	judgment	judgment	NOUN
fcis-5414	27	11	of	of	ADP
fcis-5414	27	12	the	the	DET
fcis-5414	27	13	model	model	NOUN
fcis-5414	27	14	,	,	PUNCT
fcis-5414	27	15	and	and	CCONJ
fcis-5414	27	16	will	will	AUX
fcis-5414	27	17	limit	limit	VERB
fcis-5414	27	18	the	the	DET
fcis-5414	27	19	further	further	ADJ
fcis-5414	27	20	optimization	optimization	NOUN
fcis-5414	27	21	of	of	ADP
fcis-5414	27	22	the	the	DET
fcis-5414	27	23	model	model	NOUN
fcis-5414	27	24	to	to	ADP
fcis-5414	27	25	a	a	DET
fcis-5414	27	26	certain	certain	ADJ
fcis-5414	27	27	extent	extent	NOUN
fcis-5414	27	28	.	.	PUNCT
fcis-5414	28	1	therefore	therefore	ADV
fcis-5414	28	2	,	,	PUNCT
fcis-5414	28	3	aiming	aim	VERB
fcis-5414	28	4	at	at	ADP
fcis-5414	28	5	the	the	DET
fcis-5414	28	6	shortcomings	shortcoming	NOUN
fcis-5414	28	7	and	and	CCONJ
fcis-5414	28	8	deficiencies	deficiency	NOUN
fcis-5414	28	9	of	of	ADP
fcis-5414	28	10	the	the	DET
fcis-5414	28	11	traditional	traditional	ADJ
fcis-5414	28	12	ssd	ssd	NOUN
fcis-5414	28	13	algorithm	algorithm	NOUN
fcis-5414	28	14	,	,	PUNCT
fcis-5414	28	15	this	this	DET
fcis-5414	28	16	paper	paper	NOUN
fcis-5414	28	17	proposes	propose	VERB
fcis-5414	28	18	and	and	CCONJ
fcis-5414	28	19	adopts	adopt	VERB
fcis-5414	28	20	three	three	NUM
fcis-5414	28	21	different	different	ADJ
fcis-5414	28	22	improved	improved	ADJ
fcis-5414	28	23	methods	method	NOUN
fcis-5414	28	24	based	base	VERB
fcis-5414	28	25	on	on	ADP
fcis-5414	28	26	deep	deep	ADJ
fcis-5414	28	27	learning	learning	NOUN
fcis-5414	28	28	to	to	PART
fcis-5414	28	29	optimize	optimize	VERB
fcis-5414	28	30	the	the	DET
fcis-5414	28	31	traditional	traditional	ADJ
fcis-5414	28	32	ssd	ssd	NOUN
fcis-5414	28	33	target	target	NOUN
fcis-5414	28	34	detection	detection	NOUN
fcis-5414	28	35	algorithm	algorithm	NOUN
fcis-5414	28	36	,	,	PUNCT
fcis-5414	28	37	mainly	mainly	ADV
fcis-5414	28	38	including	include	VERB
fcis-5414	28	39	feature	feature	NOUN
fcis-5414	28	40	fusion	fusion	NOUN
fcis-5414	28	41	,	,	PUNCT
fcis-5414	28	42	attention	attention	NOUN
fcis-5414	28	43	mechanism	mechanism	NOUN
fcis-5414	28	44	and	and	CCONJ
fcis-5414	28	45	loss	loss	NOUN
fcis-5414	28	46	function	function	NOUN
fcis-5414	28	47	.	.	PUNCT
fcis-5414	29	1	direction	direction	NOUN
fcis-5414	29	2	.	.	PUNCT
fcis-5414	30	1	at	at	ADP
fcis-5414	30	2	the	the	DET
fcis-5414	30	3	same	same	ADJ
fcis-5414	30	4	time	time	NOUN
fcis-5414	30	5	,	,	PUNCT
fcis-5414	30	6	an	an	DET
fcis-5414	30	7	in	in	ADP
fcis-5414	30	8	-	-	PUNCT
fcis-5414	30	9	depth	depth	NOUN
fcis-5414	30	10	and	and	CCONJ
fcis-5414	30	11	detailed	detailed	ADJ
fcis-5414	30	12	analysis	analysis	NOUN
fcis-5414	30	13	of	of	ADP
fcis-5414	30	14	the	the	DET
fcis-5414	30	15	proposed	propose	VERB
fcis-5414	30	16	method	method	NOUN
fcis-5414	30	17	is	be	AUX
fcis-5414	30	18	carried	carry	VERB
fcis-5414	30	19	out	out	ADP
fcis-5414	30	20	,	,	PUNCT
fcis-5414	30	21	and	and	CCONJ
fcis-5414	30	22	quantitative	quantitative	ADJ
fcis-5414	30	23	and	and	CCONJ
fcis-5414	30	24	qualitative	qualitative	ADJ
fcis-5414	30	25	comparative	comparative	ADJ
fcis-5414	30	26	analysis	analysis	NOUN
fcis-5414	30	27	is	be	AUX
fcis-5414	30	28	carried	carry	VERB
fcis-5414	30	29	out	out	ADP
fcis-5414	30	30	with	with	ADP
fcis-5414	30	31	popular	popular	ADJ
fcis-5414	30	32	algorithms	algorithm	NOUN
fcis-5414	30	33	under	under	ADP
fcis-5414	30	34	a	a	DET
fcis-5414	30	35	fair	fair	ADJ
fcis-5414	30	36	experimental	experimental	ADJ
fcis-5414	30	37	setting	setting	NOUN
fcis-5414	30	38	.	.	PUNCT
fcis-5414	31	1	for	for	ADP
fcis-5414	31	2	the	the	DET
fcis-5414	31	3	field	field	NOUN
fcis-5414	31	4	of	of	ADP
fcis-5414	31	5	target	target	NOUN
fcis-5414	31	6	detection	detection	NOUN
fcis-5414	31	7	,	,	PUNCT
fcis-5414	31	8	the	the	DET
fcis-5414	31	9	results	result	NOUN
fcis-5414	31	10	of	of	ADP
fcis-5414	31	11	this	this	DET
fcis-5414	31	12	paper	paper	NOUN
fcis-5414	31	13	have	have	AUX
fcis-5414	31	14	expanded	expand	VERB
fcis-5414	31	15	new	new	ADJ
fcis-5414	31	16	ideas	idea	NOUN
fcis-5414	31	17	in	in	ADP
fcis-5414	31	18	a	a	DET
fcis-5414	31	19	sense	sense	NOUN
fcis-5414	31	20	,	,	PUNCT
fcis-5414	31	21	and	and	CCONJ
fcis-5414	31	22	can	can	AUX
fcis-5414	31	23	enrich	enrich	VERB
fcis-5414	31	24	the	the	DET
fcis-5414	31	25	technical	technical	ADJ
fcis-5414	31	26	methods	method	NOUN
fcis-5414	31	27	of	of	ADP
fcis-5414	31	28	target	target	NOUN
fcis-5414	31	29	detection	detection	NOUN
fcis-5414	31	30	.	.	PUNCT
fcis-5414	32	1	1.2	1.2	NUM
fcis-5414	32	2	.	.	PUNCT
fcis-5414	32	3	research	research	NOUN
fcis-5414	32	4	status	status	NOUN
fcis-5414	32	5	at	at	ADP
fcis-5414	32	6	home	home	ADV
fcis-5414	32	7	and	and	CCONJ
fcis-5414	32	8	abroad	abroad	ADV
fcis-5414	32	9	early	early	ADJ
fcis-5414	32	10	research	research	NOUN
fcis-5414	32	11	on	on	ADP
fcis-5414	32	12	object	object	NOUN
fcis-5414	32	13	detection	detection	NOUN
fcis-5414	32	14	was	be	AUX
fcis-5414	32	15	based	base	VERB
fcis-5414	32	16	on	on	ADP
fcis-5414	32	17	template	template	NOUN
fcis-5414	32	18	matching	matching	NOUN
fcis-5414	32	19	techniques	technique	NOUN
fcis-5414	32	20	and	and	CCONJ
fcis-5414	32	21	models	model	NOUN
fcis-5414	32	22	of	of	ADP
fcis-5414	32	23	simple	simple	ADJ
fcis-5414	32	24	handcrafted	handcraft	VERB
fcis-5414	32	25	features	feature	NOUN
fcis-5414	32	26	,	,	PUNCT
fcis-5414	32	27	focusing	focus	VERB
fcis-5414	32	28	on	on	ADP
fcis-5414	32	29	specific	specific	ADJ
fcis-5414	32	30	objects	object	NOUN
fcis-5414	32	31	with	with	ADP
fcis-5414	32	32	roughly	roughly	ADV
fcis-5414	32	33	rigid	rigid	ADJ
fcis-5414	32	34	spatial	spatial	ADJ
fcis-5414	32	35	layouts	layout	NOUN
fcis-5414	32	36	,	,	PUNCT
fcis-5414	32	37	such	such	ADJ
fcis-5414	32	38	as	as	ADP
fcis-5414	32	39	eyes	eye	NOUN
fcis-5414	32	40	,	,	PUNCT
fcis-5414	32	41	mouths	mouth	NOUN
fcis-5414	32	42	,	,	PUNCT
fcis-5414	32	43	and	and	CCONJ
fcis-5414	32	44	human	human	ADJ
fcis-5414	32	45	faces	face	NOUN
fcis-5414	32	46	.	.	PUNCT
fcis-5414	33	1	traditional	traditional	ADJ
fcis-5414	33	2	object	object	NOUN
fcis-5414	33	3	detection	detection	NOUN
fcis-5414	33	4	algorithms	algorithm	NOUN
fcis-5414	33	5	are	be	AUX
fcis-5414	33	6	generally	generally	ADV
fcis-5414	33	7	based	base	VERB
fcis-5414	33	8	on	on	ADP
fcis-5414	33	9	manually	manually	ADV
fcis-5414	33	10	designed	design	VERB
fcis-5414	33	11	geometric	geometric	ADJ
fcis-5414	33	12	features	feature	NOUN
fcis-5414	33	13	as	as	ADP
fcis-5414	33	14	input	input	NOUN
fcis-5414	33	15	.	.	PUNCT
fcis-5414	34	1	common	common	ADJ
fcis-5414	34	2	artificially	artificially	ADV
fcis-5414	34	3	designed	design	VERB
fcis-5414	34	4	feature	feature	NOUN
fcis-5414	34	5	operators	operator	NOUN
fcis-5414	34	6	include	include	VERB
fcis-5414	34	7	:	:	PUNCT
fcis-5414	34	8	sift	sift	ADJ
fcis-5414	34	9	(	(	PUNCT
fcis-5414	34	10	scale	scale	NOUN
fcis-5414	34	11	invariant	invariant	ADJ
fcis-5414	34	12	feature	feature	NOUN
fcis-5414	34	13	transform	transform	NOUN
fcis-5414	34	14	,	,	PUNCT
fcis-5414	34	15	scale	scale	NOUN
fcis-5414	34	16	invariant	invariant	ADJ
fcis-5414	34	17	feature	feature	NOUN
fcis-5414	34	18	transformation	transformation	NOUN
fcis-5414	34	19	)	)	PUNCT
fcis-5414	34	20	,	,	PUNCT
fcis-5414	34	21	hog	hog	NOUN
fcis-5414	34	22	(	(	PUNCT
fcis-5414	34	23	histogram	histogram	NOUN
fcis-5414	34	24	of	of	ADP
fcis-5414	34	25	oriented	orient	VERB
fcis-5414	34	26	gradient	gradient	NOUN
fcis-5414	34	27	,	,	PUNCT
fcis-5414	34	28	histogram	histogram	NOUN
fcis-5414	34	29	of	of	ADP
fcis-5414	34	30	directional	directional	ADJ
fcis-5414	34	31	gradient	gradient	NOUN
fcis-5414	34	32	)	)	PUNCT
fcis-5414	34	33	and	and	CCONJ
fcis-5414	34	34	surf	surf	NOUN
fcis-5414	34	35	(	(	PUNCT
fcis-5414	34	36	speeded	speed	VERB
fcis-5414	34	37	up	up	ADP
fcis-5414	34	38	robust	robust	ADJ
fcis-5414	34	39	features	feature	NOUN
fcis-5414	34	40	,	,	PUNCT
fcis-5414	34	41	accelerated	accelerate	VERB
fcis-5414	34	42	robust	robust	ADJ
fcis-5414	34	43	features	feature	NOUN
fcis-5414	34	44	)	)	PUNCT
fcis-5414	34	45	,	,	PUNCT
fcis-5414	34	46	etc	etc	X
fcis-5414	34	47	.	.	X
fcis-5414	35	1	then	then	ADV
fcis-5414	35	2	,	,	PUNCT
fcis-5414	35	3	use	use	VERB
fcis-5414	35	4	common	common	ADJ
fcis-5414	35	5	statistical	statistical	ADJ
fcis-5414	35	6	classifiers	classifier	NOUN
fcis-5414	35	7	,	,	PUNCT
fcis-5414	35	8	such	such	ADJ
fcis-5414	35	9	as	as	ADP
fcis-5414	35	10	neural	neural	ADJ
fcis-5414	35	11	network	network	NOUN
fcis-5414	35	12	,	,	PUNCT
fcis-5414	35	13	support	support	NOUN
fcis-5414	35	14	vector	vector	NOUN
fcis-5414	35	15	machine	machine	NOUN
fcis-5414	35	16	(	(	PUNCT
fcis-5414	35	17	support	support	NOUN
fcis-5414	35	18	vector	vector	NOUN
fcis-5414	35	19	machine	machine	NOUN
fcis-5414	35	20	,	,	PUNCT
fcis-5414	35	21	svm	svm	PROPN
fcis-5414	35	22	)	)	PUNCT
fcis-5414	35	23	and	and	CCONJ
fcis-5414	35	24	adaboos	adaboo	NOUN
fcis-5414	35	25	,	,	PUNCT
fcis-5414	35	26	etc	etc	X
fcis-5414	35	27	.	.	X
fcis-5414	35	28	to	to	PART
fcis-5414	35	29	classify	classify	VERB
fcis-5414	35	30	the	the	DET
fcis-5414	35	31	target	target	NOUN
fcis-5414	35	32	.	.	PUNCT
fcis-5414	36	1	by	by	ADP
fcis-5414	36	2	the	the	DET
fcis-5414	36	3	late	late	ADJ
fcis-5414	36	4	1990s	1990	NOUN
fcis-5414	36	5	and	and	CCONJ
fcis-5414	36	6	110	110	NUM
fcis-5414	36	7	early	early	ADJ
fcis-5414	36	8	2000s	2000s	NUM
fcis-5414	36	9	,	,	PUNCT
fcis-5414	36	10	research	research	NOUN
fcis-5414	36	11	on	on	ADP
fcis-5414	36	12	object	object	NOUN
fcis-5414	36	13	detection	detection	NOUN
fcis-5414	36	14	had	have	AUX
fcis-5414	36	15	made	make	VERB
fcis-5414	36	16	remarkable	remarkable	ADJ
fcis-5414	36	17	progress	progress	NOUN
fcis-5414	36	18	.	.	PUNCT
fcis-5414	37	1	frameworks	framework	NOUN
fcis-5414	37	2	based	base	VERB
fcis-5414	37	3	on	on	ADP
fcis-5414	37	4	proposal	proposal	NOUN
fcis-5414	37	5	regions	region	NOUN
fcis-5414	37	6	and	and	CCONJ
fcis-5414	37	7	multi	multi	ADJ
fcis-5414	37	8	-	-	ADJ
fcis-5414	37	9	class	class	ADJ
fcis-5414	37	10	appearance	appearance	NOUN
fcis-5414	37	11	features	feature	NOUN
fcis-5414	37	12	are	be	AUX
fcis-5414	37	13	continuously	continuously	ADV
fcis-5414	37	14	proposed	propose	VERB
fcis-5414	37	15	,	,	PUNCT
fcis-5414	37	16	which	which	PRON
fcis-5414	37	17	makes	make	VERB
fcis-5414	37	18	these	these	DET
fcis-5414	37	19	multi	multi	ADJ
fcis-5414	37	20	-	-	ADJ
fcis-5414	37	21	level	level	ADJ
fcis-5414	37	22	detection	detection	NOUN
fcis-5414	37	23	frameworks	framework	NOUN
fcis-5414	37	24	consisting	consist	VERB
fcis-5414	37	25	of	of	ADP
fcis-5414	37	26	hand	hand	NOUN
fcis-5414	37	27	-	-	PUNCT
fcis-5414	37	28	drawn	draw	VERB
fcis-5414	37	29	local	local	ADJ
fcis-5414	37	30	description	description	NOUN
fcis-5414	37	31	features	feature	NOUN
fcis-5414	37	32	and	and	CCONJ
fcis-5414	37	33	discriminative	discriminative	NOUN
fcis-5414	37	34	classifiers	classifier	NOUN
fcis-5414	37	35	have	have	AUX
fcis-5414	37	36	been	be	AUX
fcis-5414	37	37	dominating	dominate	VERB
fcis-5414	37	38	various	various	ADJ
fcis-5414	37	39	fields	field	NOUN
fcis-5414	37	40	of	of	ADP
fcis-5414	37	41	computer	computer	NOUN
fcis-5414	37	42	vision	vision	NOUN
fcis-5414	37	43	,	,	PUNCT
fcis-5414	37	44	including	include	VERB
fcis-5414	37	45	object	object	NOUN
fcis-5414	37	46	detection	detection	NOUN
fcis-5414	37	47	.	.	PUNCT
fcis-5414	38	1	until	until	ADP
fcis-5414	38	2	the	the	DET
fcis-5414	38	3	important	important	ADJ
fcis-5414	38	4	turning	turning	NOUN
fcis-5414	38	5	point	point	NOUN
fcis-5414	38	6	in	in	ADP
fcis-5414	38	7	2012	2012	NUM
fcis-5414	38	8	,	,	PUNCT
fcis-5414	38	9	as	as	SCONJ
fcis-5414	38	10	dcnn	dcnn	PROPN
fcis-5414	38	11	achieved	achieve	VERB
fcis-5414	38	12	record	record	NOUN
fcis-5414	38	13	-	-	PUNCT
fcis-5414	38	14	breaking	break	VERB
fcis-5414	38	15	results	result	NOUN
fcis-5414	38	16	in	in	ADP
fcis-5414	38	17	image	image	NOUN
fcis-5414	38	18	classification	classification	NOUN
fcis-5414	38	19	,	,	PUNCT
fcis-5414	38	20	the	the	DET
fcis-5414	38	21	field	field	NOUN
fcis-5414	38	22	of	of	ADP
fcis-5414	38	23	object	object	NOUN
fcis-5414	38	24	detection	detection	NOUN
fcis-5414	38	25	also	also	ADV
fcis-5414	38	26	began	begin	VERB
fcis-5414	38	27	to	to	PART
fcis-5414	38	28	enter	enter	VERB
fcis-5414	38	29	the	the	DET
fcis-5414	38	30	era	era	NOUN
fcis-5414	38	31	based	base	VERB
fcis-5414	38	32	on	on	ADP
fcis-5414	38	33	dcnn	dcnn	PROPN
fcis-5414	38	34	.	.	PUNCT
fcis-5414	39	1	however	however	ADV
fcis-5414	39	2	,	,	PUNCT
fcis-5414	39	3	the	the	DET
fcis-5414	39	4	sliding	slide	VERB
fcis-5414	39	5	window	window	NOUN
fcis-5414	39	6	technology	technology	NOUN
fcis-5414	39	7	and	and	CCONJ
fcis-5414	39	8	multi	multi	ADJ
fcis-5414	39	9	-	-	ADJ
fcis-5414	39	10	scale	scale	ADJ
fcis-5414	39	11	pyramid	pyramid	NOUN
fcis-5414	39	12	strategy	strategy	NOUN
fcis-5414	39	13	proposed	propose	VERB
fcis-5414	39	14	in	in	ADP
fcis-5414	39	15	the	the	DET
fcis-5414	39	16	traditional	traditional	ADJ
fcis-5414	39	17	field	field	NOUN
fcis-5414	39	18	are	be	AUX
fcis-5414	39	19	still	still	ADV
fcis-5414	39	20	widely	widely	ADV
fcis-5414	39	21	used	use	VERB
fcis-5414	39	22	in	in	ADP
fcis-5414	39	23	dcnn	dcnn	PROPN
fcis-5414	39	24	-	-	PUNCT
fcis-5414	39	25	based	base	VERB
fcis-5414	39	26	methods	method	NOUN
fcis-5414	39	27	.	.	PUNCT
fcis-5414	40	1	since	since	SCONJ
fcis-5414	40	2	deep	deep	ADJ
fcis-5414	40	3	learning	learning	NOUN
fcis-5414	40	4	entered	enter	VERB
fcis-5414	40	5	the	the	DET
fcis-5414	40	6	field	field	NOUN
fcis-5414	40	7	of	of	ADP
fcis-5414	40	8	target	target	NOUN
fcis-5414	40	9	detection	detection	NOUN
fcis-5414	40	10	,	,	PUNCT
fcis-5414	40	11	various	various	ADJ
fcis-5414	40	12	target	target	NOUN
fcis-5414	40	13	detection	detection	NOUN
fcis-5414	40	14	methods	method	NOUN
fcis-5414	40	15	based	base	VERB
fcis-5414	40	16	on	on	ADP
fcis-5414	40	17	deep	deep	ADJ
fcis-5414	40	18	convolutional	convolutional	ADJ
fcis-5414	40	19	neural	neural	ADJ
fcis-5414	40	20	networks	network	NOUN
fcis-5414	40	21	have	have	AUX
fcis-5414	40	22	made	make	VERB
fcis-5414	40	23	remarkable	remarkable	ADJ
fcis-5414	40	24	progress	progress	NOUN
fcis-5414	40	25	and	and	CCONJ
fcis-5414	40	26	quickly	quickly	ADV
fcis-5414	40	27	become	become	VERB
fcis-5414	40	28	the	the	DET
fcis-5414	40	29	mainstream	mainstream	NOUN
fcis-5414	40	30	.	.	PUNCT
fcis-5414	41	1	at	at	ADP
fcis-5414	41	2	present	present	ADJ
fcis-5414	41	3	,	,	PUNCT
fcis-5414	41	4	the	the	DET
fcis-5414	41	5	main	main	ADJ
fcis-5414	41	6	target	target	NOUN
fcis-5414	41	7	detection	detection	NOUN
fcis-5414	41	8	algorithms	algorithm	NOUN
fcis-5414	41	9	can	can	AUX
fcis-5414	41	10	be	be	AUX
fcis-5414	41	11	roughly	roughly	ADV
fcis-5414	41	12	divided	divide	VERB
fcis-5414	41	13	into	into	ADP
fcis-5414	41	14	two	two	NUM
fcis-5414	41	15	categories	category	NOUN
fcis-5414	41	16	:	:	PUNCT
fcis-5414	41	17	(	(	PUNCT
fcis-5414	41	18	1	1	NUM
fcis-5414	41	19	)	)	PUNCT
fcis-5414	41	20	.	.	PUNCT
fcis-5414	42	1	the	the	DET
fcis-5414	42	2	object	object	NOUN
fcis-5414	42	3	detection	detection	NOUN
fcis-5414	42	4	algorithm	algorithm	NOUN
fcis-5414	42	5	proposed	propose	VERB
fcis-5414	42	6	by	by	ADP
fcis-5414	42	7	the	the	DET
fcis-5414	42	8	candidate	candidate	NOUN
fcis-5414	42	9	region	region	NOUN
fcis-5414	42	10	,	,	PUNCT
fcis-5414	42	11	that	that	ADV
fcis-5414	42	12	is	is	ADV
fcis-5414	42	13	,	,	PUNCT
fcis-5414	42	14	the	the	DET
fcis-5414	42	15	two	two	NUM
fcis-5414	42	16	-	-	PUNCT
fcis-5414	42	17	stage	stage	NOUN
fcis-5414	42	18	detection	detection	NOUN
fcis-5414	42	19	framework	framework	NOUN
fcis-5414	42	20	algorithm	algorithm	NOUN
fcis-5414	42	21	.	.	PUNCT
fcis-5414	43	1	(	(	PUNCT
fcis-5414	43	2	2	2	NUM
fcis-5414	43	3	)	)	PUNCT
fcis-5414	43	4	.	.	PUNCT
fcis-5414	44	1	regression	regression	NOUN
fcis-5414	44	2	-	-	PUNCT
fcis-5414	44	3	based	base	VERB
fcis-5414	44	4	target	target	NOUN
fcis-5414	44	5	detection	detection	NOUN
fcis-5414	44	6	algorithm	algorithm	NOUN
fcis-5414	44	7	,	,	PUNCT
fcis-5414	44	8	that	that	ADV
fcis-5414	44	9	is	is	ADV
fcis-5414	44	10	,	,	PUNCT
fcis-5414	44	11	a	a	DET
fcis-5414	44	12	one	one	NUM
fcis-5414	44	13	-	-	PUNCT
fcis-5414	44	14	stage	stage	NOUN
fcis-5414	44	15	detection	detection	NOUN
fcis-5414	44	16	framework	framework	NOUN
fcis-5414	44	17	algorithm	algorithm	NOUN
fcis-5414	44	18	.	.	PUNCT
fcis-5414	45	1	the	the	DET
fcis-5414	45	2	mask	mask	NOUN
fcis-5414	45	3	rcnn	rcnn	PROPN
fcis-5414	45	4	proposed	propose	VERB
fcis-5414	45	5	by	by	ADP
fcis-5414	45	6	he	he	PRON
fcis-5414	45	7	kaiming	kaime	VERB
fcis-5414	45	8	et	et	PROPN
fcis-5414	45	9	al	al	PROPN
fcis-5414	45	10	.	.	PROPN
fcis-5414	45	11	uses	use	VERB
fcis-5414	45	12	the	the	DET
fcis-5414	45	13	network	network	NOUN
fcis-5414	45	14	structure	structure	NOUN
fcis-5414	45	15	of	of	ADP
fcis-5414	45	16	resnet	resnet	NOUN
fcis-5414	45	17	and	and	CCONJ
fcis-5414	45	18	fpn	fpn	VERB
fcis-5414	45	19	to	to	PART
fcis-5414	45	20	mine	mine	VERB
fcis-5414	45	21	multi	multi	ADJ
fcis-5414	45	22	-	-	ADJ
fcis-5414	45	23	scale	scale	ADJ
fcis-5414	45	24	information	information	NOUN
fcis-5414	45	25	and	and	CCONJ
fcis-5414	45	26	feature	feature	NOUN
fcis-5414	45	27	extraction	extraction	NOUN
fcis-5414	45	28	,	,	PUNCT
fcis-5414	45	29	and	and	CCONJ
fcis-5414	45	30	adds	add	VERB
fcis-5414	45	31	a	a	DET
fcis-5414	45	32	fully	fully	ADV
fcis-5414	45	33	convolutional	convolutional	ADJ
fcis-5414	45	34	network	network	NOUN
fcis-5414	45	35	(	(	PUNCT
fcis-5414	45	36	fully	fully	ADV
fcis-5414	45	37	convolutional	convolutional	ADJ
fcis-5414	45	38	network	network	NOUN
fcis-5414	45	39	,	,	PUNCT
fcis-5414	45	40	fcn	fcn	PROPN
fcis-5414	45	41	)	)	PUNCT
fcis-5414	45	42	at	at	ADP
fcis-5414	45	43	the	the	DET
fcis-5414	45	44	end	end	NOUN
fcis-5414	45	45	of	of	ADP
fcis-5414	45	46	the	the	DET
fcis-5414	45	47	network	network	NOUN
fcis-5414	45	48	to	to	PART
fcis-5414	45	49	provide	provide	VERB
fcis-5414	45	50	each	each	DET
fcis-5414	45	51	target	target	NOUN
fcis-5414	45	52	candidate	candidate	NOUN
fcis-5414	45	53	the	the	DET
fcis-5414	45	54	region	region	NOUN
fcis-5414	45	55	outputs	output	VERB
fcis-5414	45	56	a	a	DET
fcis-5414	45	57	binary	binary	ADJ
fcis-5414	45	58	mask	mask	NOUN
fcis-5414	45	59	,	,	PUNCT
fcis-5414	45	60	while	while	SCONJ
fcis-5414	45	61	avoiding	avoid	VERB
fcis-5414	45	62	the	the	DET
fcis-5414	45	63	original	original	ADJ
fcis-5414	45	64	roi	roi	NOUN
fcis-5414	45	65	the	the	DET
fcis-5414	45	66	offset	offset	NOUN
fcis-5414	45	67	caused	cause	VERB
fcis-5414	45	68	by	by	ADP
fcis-5414	45	69	the	the	DET
fcis-5414	45	70	pooling	pooling	NOUN
fcis-5414	45	71	layer	layer	NOUN
fcis-5414	45	72	,	,	PUNCT
fcis-5414	45	73	the	the	DET
fcis-5414	45	74	roi	roi	NOUN
fcis-5414	45	75	align	align	NOUN
fcis-5414	45	76	layer	layer	NOUN
fcis-5414	45	77	was	be	AUX
fcis-5414	45	78	proposed	propose	VERB
fcis-5414	45	79	to	to	PART
fcis-5414	45	80	maintain	maintain	VERB
fcis-5414	45	81	the	the	DET
fcis-5414	45	82	pixel	pixel	ADJ
fcis-5414	45	83	-	-	PUNCT
fcis-5414	45	84	level	level	NOUN
fcis-5414	45	85	spatial	spatial	ADJ
fcis-5414	45	86	correspondence	correspondence	NOUN
fcis-5414	45	87	,	,	PUNCT
fcis-5414	45	88	and	and	CCONJ
fcis-5414	45	89	mask	mask	NOUN
fcis-5414	45	90	rcnn	rcnn	PROPN
fcis-5414	45	91	achieved	achieve	VERB
fcis-5414	45	92	the	the	DET
fcis-5414	45	93	best	good	ADJ
fcis-5414	45	94	results	result	NOUN
fcis-5414	45	95	at	at	ADP
fcis-5414	45	96	that	that	DET
fcis-5414	45	97	time	time	NOUN
fcis-5414	45	98	,	,	PUNCT
fcis-5414	45	99	but	but	CCONJ
fcis-5414	45	100	due	due	ADP
fcis-5414	45	101	to	to	ADP
fcis-5414	45	102	its	its	PRON
fcis-5414	45	103	complex	complex	ADJ
fcis-5414	45	104	network	network	NOUN
fcis-5414	45	105	structure	structure	NOUN
fcis-5414	45	106	,	,	PUNCT
fcis-5414	45	107	its	its	PRON
fcis-5414	45	108	detection	detection	NOUN
fcis-5414	45	109	speed	speed	NOUN
fcis-5414	45	110	was	be	AUX
fcis-5414	45	111	too	too	ADV
fcis-5414	45	112	slow	slow	ADJ
fcis-5414	45	113	.	.	PUNCT
fcis-5414	46	1	the	the	DET
fcis-5414	46	2	mask	mask	NOUN
fcis-5414	46	3	rcnn	rcnn	PROPN
fcis-5414	46	4	proposed	propose	VERB
fcis-5414	46	5	by	by	ADP
fcis-5414	46	6	he	he	PRON
fcis-5414	46	7	kaiming	kaime	VERB
fcis-5414	46	8	et	et	PROPN
fcis-5414	46	9	al	al	PROPN
fcis-5414	46	10	.	.	PROPN
fcis-5414	46	11	uses	use	VERB
fcis-5414	46	12	the	the	DET
fcis-5414	46	13	network	network	NOUN
fcis-5414	46	14	structure	structure	NOUN
fcis-5414	46	15	of	of	ADP
fcis-5414	46	16	resnet	resnet	NOUN
fcis-5414	46	17	and	and	CCONJ
fcis-5414	46	18	fpn	fpn	VERB
fcis-5414	46	19	to	to	PART
fcis-5414	46	20	mine	mine	VERB
fcis-5414	46	21	multi	multi	ADJ
fcis-5414	46	22	-	-	ADJ
fcis-5414	46	23	scale	scale	ADJ
fcis-5414	46	24	information	information	NOUN
fcis-5414	46	25	and	and	CCONJ
fcis-5414	46	26	feature	feature	NOUN
fcis-5414	46	27	extraction	extraction	NOUN
fcis-5414	46	28	,	,	PUNCT
fcis-5414	46	29	and	and	CCONJ
fcis-5414	46	30	adds	add	VERB
fcis-5414	46	31	a	a	DET
fcis-5414	46	32	fully	fully	ADV
fcis-5414	46	33	convolutional	convolutional	ADJ
fcis-5414	46	34	network	network	NOUN
fcis-5414	46	35	(	(	PUNCT
fcis-5414	46	36	fully	fully	ADV
fcis-5414	46	37	convolutional	convolutional	ADJ
fcis-5414	46	38	network	network	NOUN
fcis-5414	46	39	,	,	PUNCT
fcis-5414	46	40	fcn	fcn	PROPN
fcis-5414	46	41	)	)	PUNCT
fcis-5414	46	42	at	at	ADP
fcis-5414	46	43	the	the	DET
fcis-5414	46	44	end	end	NOUN
fcis-5414	46	45	of	of	ADP
fcis-5414	46	46	the	the	DET
fcis-5414	46	47	network	network	NOUN
fcis-5414	46	48	to	to	PART
fcis-5414	46	49	provide	provide	VERB
fcis-5414	46	50	each	each	DET
fcis-5414	46	51	target	target	NOUN
fcis-5414	46	52	candidate	candidate	NOUN
fcis-5414	46	53	the	the	DET
fcis-5414	46	54	region	region	NOUN
fcis-5414	46	55	outputs	output	VERB
fcis-5414	46	56	a	a	DET
fcis-5414	46	57	binary	binary	ADJ
fcis-5414	46	58	mask	mask	NOUN
fcis-5414	46	59	,	,	PUNCT
fcis-5414	46	60	while	while	SCONJ
fcis-5414	46	61	avoiding	avoid	VERB
fcis-5414	46	62	the	the	DET
fcis-5414	46	63	original	original	ADJ
fcis-5414	46	64	roi	roi	NOUN
fcis-5414	46	65	the	the	DET
fcis-5414	46	66	offset	offset	NOUN
fcis-5414	46	67	caused	cause	VERB
fcis-5414	46	68	by	by	ADP
fcis-5414	46	69	the	the	DET
fcis-5414	46	70	pooling	pooling	NOUN
fcis-5414	46	71	layer	layer	NOUN
fcis-5414	46	72	,	,	PUNCT
fcis-5414	46	73	the	the	DET
fcis-5414	46	74	roi	roi	NOUN
fcis-5414	46	75	align	align	NOUN
fcis-5414	46	76	layer	layer	NOUN
fcis-5414	46	77	was	be	AUX
fcis-5414	46	78	proposed	propose	VERB
fcis-5414	46	79	to	to	PART
fcis-5414	46	80	maintain	maintain	VERB
fcis-5414	46	81	the	the	DET
fcis-5414	46	82	pixel	pixel	ADJ
fcis-5414	46	83	-	-	PUNCT
fcis-5414	46	84	level	level	NOUN
fcis-5414	46	85	spatial	spatial	ADJ
fcis-5414	46	86	correspondence	correspondence	NOUN
fcis-5414	46	87	,	,	PUNCT
fcis-5414	46	88	and	and	CCONJ
fcis-5414	46	89	mask	mask	NOUN
fcis-5414	46	90	rcnn	rcnn	PROPN
fcis-5414	46	91	achieved	achieve	VERB
fcis-5414	46	92	the	the	DET
fcis-5414	46	93	best	good	ADJ
fcis-5414	46	94	results	result	NOUN
fcis-5414	46	95	at	at	ADP
fcis-5414	46	96	that	that	DET
fcis-5414	46	97	time	time	NOUN
fcis-5414	46	98	,	,	PUNCT
fcis-5414	46	99	but	but	CCONJ
fcis-5414	46	100	due	due	ADP
fcis-5414	46	101	to	to	ADP
fcis-5414	46	102	its	its	PRON
fcis-5414	46	103	complex	complex	ADJ
fcis-5414	46	104	network	network	NOUN
fcis-5414	46	105	structure	structure	NOUN
fcis-5414	46	106	,	,	PUNCT
fcis-5414	46	107	its	its	PRON
fcis-5414	46	108	detection	detection	NOUN
fcis-5414	46	109	speed	speed	NOUN
fcis-5414	46	110	was	be	AUX
fcis-5414	46	111	too	too	ADV
fcis-5414	46	112	slow	slow	ADJ
fcis-5414	46	113	.	.	PUNCT
fcis-5414	47	1	in	in	ADP
fcis-5414	47	2	addition	addition	NOUN
fcis-5414	47	3	,	,	PUNCT
fcis-5414	47	4	the	the	DET
fcis-5414	47	5	researchers	researcher	NOUN
fcis-5414	47	6	found	find	VERB
fcis-5414	47	7	that	that	SCONJ
fcis-5414	47	8	deep	deep	ADJ
fcis-5414	47	9	features	feature	NOUN
fcis-5414	47	10	in	in	ADP
fcis-5414	47	11	the	the	DET
fcis-5414	47	12	basic	basic	ADJ
fcis-5414	47	13	backbone	backbone	NOUN
fcis-5414	47	14	network	network	NOUN
fcis-5414	47	15	have	have	VERB
fcis-5414	47	16	more	more	ADJ
fcis-5414	47	17	semantic	semantic	ADJ
fcis-5414	47	18	information	information	NOUN
fcis-5414	47	19	,	,	PUNCT
fcis-5414	47	20	while	while	SCONJ
fcis-5414	47	21	shallow	shallow	ADJ
fcis-5414	47	22	features	feature	NOUN
fcis-5414	47	23	have	have	VERB
fcis-5414	47	24	more	more	ADJ
fcis-5414	47	25	content	content	NOUN
fcis-5414	47	26	descriptions	description	NOUN
fcis-5414	47	27	,	,	PUNCT
fcis-5414	47	28	and	and	CCONJ
fcis-5414	47	29	utilizing	utilize	VERB
fcis-5414	47	30	multi	multi	ADJ
fcis-5414	47	31	-	-	ADJ
fcis-5414	47	32	scale	scale	ADJ
fcis-5414	47	33	features	feature	NOUN
fcis-5414	47	34	to	to	PART
fcis-5414	47	35	generate	generate	VERB
fcis-5414	47	36	discriminative	discriminative	NOUN
fcis-5414	47	37	feature	feature	NOUN
fcis-5414	47	38	pyramid	pyramid	NOUN
fcis-5414	47	39	representations	representation	NOUN
fcis-5414	47	40	is	be	AUX
fcis-5414	47	41	crucial	crucial	ADJ
fcis-5414	47	42	for	for	ADP
fcis-5414	47	43	detection	detection	NOUN
fcis-5414	47	44	performance	performance	NOUN
fcis-5414	47	45	.	.	PUNCT
fcis-5414	48	1	most	most	ADJ
fcis-5414	48	2	of	of	ADP
fcis-5414	48	3	the	the	DET
fcis-5414	48	4	above	above	ADJ
fcis-5414	48	5	detector	detector	NOUN
fcis-5414	48	6	structures	structure	NOUN
fcis-5414	48	7	only	only	ADV
fcis-5414	48	8	use	use	VERB
fcis-5414	48	9	single	single	ADJ
fcis-5414	48	10	-	-	PUNCT
fcis-5414	48	11	scale	scale	NOUN
fcis-5414	48	12	features	feature	NOUN
fcis-5414	48	13	,	,	PUNCT
fcis-5414	48	14	such	such	ADJ
fcis-5414	48	15	as	as	ADP
fcis-5414	48	16	r	r	NOUN
fcis-5414	48	17	-	-	PUNCT
fcis-5414	48	18	cnn	cnn	PROPN
fcis-5414	48	19	,	,	PUNCT
fcis-5414	48	20	fast	fast	ADJ
fcis-5414	48	21	r	r	NOUN
fcis-5414	48	22	-	-	PUNCT
fcis-5414	48	23	cnn	cnn	PROPN
fcis-5414	48	24	,	,	PUNCT
fcis-5414	48	25	faster	fast	ADJ
fcis-5414	48	26	rcnn	rcnn	PROPN
fcis-5414	48	27	and	and	CCONJ
fcis-5414	48	28	yolo	yolo	PROPN
fcis-5414	48	29	,	,	PUNCT
fcis-5414	48	30	which	which	PRON
fcis-5414	48	31	only	only	ADV
fcis-5414	48	32	use	use	VERB
fcis-5414	48	33	the	the	DET
fcis-5414	48	34	feature	feature	NOUN
fcis-5414	48	35	map	map	NOUN
fcis-5414	48	36	of	of	ADP
fcis-5414	48	37	the	the	DET
fcis-5414	48	38	last	last	ADJ
fcis-5414	48	39	layer	layer	NOUN
fcis-5414	48	40	of	of	ADP
fcis-5414	48	41	the	the	DET
fcis-5414	48	42	network	network	NOUN
fcis-5414	48	43	to	to	PART
fcis-5414	48	44	extract	extract	VERB
fcis-5414	48	45	features	feature	NOUN
fcis-5414	48	46	and	and	CCONJ
fcis-5414	48	47	complete	complete	VERB
fcis-5414	48	48	the	the	DET
fcis-5414	48	49	detection	detection	NOUN
fcis-5414	48	50	task	task	NOUN
fcis-5414	48	51	.	.	PUNCT
fcis-5414	49	1	in	in	ADP
fcis-5414	49	2	order	order	NOUN
fcis-5414	49	3	to	to	PART
fcis-5414	49	4	improve	improve	VERB
fcis-5414	49	5	the	the	DET
fcis-5414	49	6	detection	detection	NOUN
fcis-5414	49	7	accuracy	accuracy	NOUN
fcis-5414	49	8	of	of	ADP
fcis-5414	49	9	multi	multi	ADJ
fcis-5414	49	10	-	-	ADJ
fcis-5414	49	11	scale	scale	ADJ
fcis-5414	49	12	objects	object	NOUN
fcis-5414	49	13	,	,	PUNCT
fcis-5414	49	14	especially	especially	ADV
fcis-5414	49	15	small	small	ADJ
fcis-5414	49	16	-	-	PUNCT
fcis-5414	49	17	scale	scale	NOUN
fcis-5414	49	18	objects	object	NOUN
fcis-5414	49	19	,	,	PUNCT
fcis-5414	49	20	some	some	DET
fcis-5414	49	21	object	object	NOUN
fcis-5414	49	22	detection	detection	NOUN
fcis-5414	49	23	model	model	NOUN
fcis-5414	49	24	architectures	architecture	NOUN
fcis-5414	49	25	have	have	AUX
fcis-5414	49	26	also	also	ADV
fcis-5414	49	27	made	make	VERB
fcis-5414	49	28	significant	significant	ADJ
fcis-5414	49	29	progress	progress	NOUN
fcis-5414	49	30	in	in	ADP
fcis-5414	49	31	multi	multi	ADJ
fcis-5414	49	32	-	-	NOUN
fcis-5414	49	33	scale	scale	NOUN
fcis-5414	49	34	.	.	PUNCT
fcis-5414	50	1	among	among	ADP
fcis-5414	50	2	them	they	PRON
fcis-5414	50	3	,	,	PUNCT
fcis-5414	50	4	ms	ms	PROPN
fcis-5414	50	5	-	-	PUNCT
fcis-5414	50	6	cnn	cnn	PROPN
fcis-5414	50	7	proposed	propose	VERB
fcis-5414	50	8	two	two	NUM
fcis-5414	50	9	sub	sub	NOUN
fcis-5414	50	10	-	-	NOUN
fcis-5414	50	11	networks	network	NOUN
fcis-5414	50	12	,	,	PUNCT
fcis-5414	50	13	and	and	CCONJ
fcis-5414	50	14	introduced	introduce	VERB
fcis-5414	50	15	multi	multi	ADJ
fcis-5414	50	16	-	-	ADJ
fcis-5414	50	17	scale	scale	ADJ
fcis-5414	50	18	features	feature	NOUN
fcis-5414	50	19	into	into	ADP
fcis-5414	50	20	fast	fast	ADJ
fcis-5414	50	21	r	r	NOUN
fcis-5414	50	22	-	-	NOUN
fcis-5414	50	23	cnn	cnn	NOUN
fcis-5414	50	24	for	for	ADP
fcis-5414	50	25	the	the	DET
fcis-5414	50	26	first	first	ADJ
fcis-5414	50	27	time	time	NOUN
fcis-5414	50	28	to	to	PART
fcis-5414	50	29	improve	improve	VERB
fcis-5414	50	30	the	the	DET
fcis-5414	50	31	recognition	recognition	NOUN
fcis-5414	50	32	ability	ability	NOUN
fcis-5414	50	33	of	of	ADP
fcis-5414	50	34	small	small	ADJ
fcis-5414	50	35	targets	target	NOUN
fcis-5414	50	36	.	.	PUNCT
fcis-5414	51	1	fpn	fpn	VERB
fcis-5414	51	2	exploits	exploit	VERB
fcis-5414	51	3	lateral	lateral	ADJ
fcis-5414	51	4	connections	connection	NOUN
fcis-5414	51	5	and	and	CCONJ
fcis-5414	51	6	top	top	ADJ
fcis-5414	51	7	-	-	PUNCT
fcis-5414	51	8	down	down	ADP
fcis-5414	51	9	paths	path	NOUN
fcis-5414	51	10	to	to	PART
fcis-5414	51	11	create	create	VERB
fcis-5414	51	12	feature	feature	NOUN
fcis-5414	51	13	pyramids	pyramid	NOUN
fcis-5414	51	14	and	and	CCONJ
fcis-5414	51	15	achieve	achieve	VERB
fcis-5414	51	16	more	more	ADV
fcis-5414	51	17	powerful	powerful	ADJ
fcis-5414	51	18	representations	representation	NOUN
fcis-5414	51	19	.	.	PUNCT
fcis-5414	52	1	ssd	ssd	PROPN
fcis-5414	52	2	uses	use	VERB
fcis-5414	52	3	multiscale	multiscale	NOUN
fcis-5414	52	4	features	feature	NOUN
fcis-5414	52	5	,	,	PUNCT
fcis-5414	52	6	and	and	CCONJ
fcis-5414	52	7	sets	set	VERB
fcis-5414	52	8	the	the	DET
fcis-5414	52	9	corresponding	correspond	VERB
fcis-5414	52	10	default	default	NOUN
fcis-5414	52	11	frame	frame	NOUN
fcis-5414	52	12	according	accord	VERB
fcis-5414	52	13	to	to	ADP
fcis-5414	52	14	the	the	DET
fcis-5414	52	15	size	size	NOUN
fcis-5414	52	16	of	of	ADP
fcis-5414	52	17	the	the	DET
fcis-5414	52	18	receptive	receptive	ADJ
fcis-5414	52	19	field	field	NOUN
fcis-5414	52	20	of	of	ADP
fcis-5414	52	21	the	the	DET
fcis-5414	52	22	feature	feature	NOUN
fcis-5414	52	23	layer	layer	NOUN
fcis-5414	52	24	.	.	PUNCT
fcis-5414	53	1	therefore	therefore	ADV
fcis-5414	53	2	,	,	PUNCT
fcis-5414	53	3	ssd	ssd	PROPN
fcis-5414	53	4	can	can	AUX
fcis-5414	53	5	detect	detect	VERB
fcis-5414	53	6	objects	object	NOUN
fcis-5414	53	7	of	of	ADP
fcis-5414	53	8	different	different	ADJ
fcis-5414	53	9	scales	scale	NOUN
fcis-5414	53	10	and	and	CCONJ
fcis-5414	53	11	aspect	aspect	VERB
fcis-5414	53	12	ratios	ratio	NOUN
fcis-5414	53	13	from	from	ADP
fcis-5414	53	14	multiple	multiple	ADJ
fcis-5414	53	15	layers	layer	NOUN
fcis-5414	53	16	.	.	PUNCT
fcis-5414	54	1	on	on	ADP
fcis-5414	54	2	the	the	DET
fcis-5414	54	3	other	other	ADJ
fcis-5414	54	4	hand	hand	NOUN
fcis-5414	54	5	,	,	PUNCT
fcis-5414	54	6	since	since	SCONJ
fcis-5414	54	7	the	the	DET
fcis-5414	54	8	basic	basic	ADJ
fcis-5414	54	9	backbone	backbone	NOUN
fcis-5414	54	10	network	network	NOUN
fcis-5414	54	11	of	of	ADP
fcis-5414	54	12	the	the	DET
fcis-5414	54	13	target	target	NOUN
fcis-5414	54	14	detection	detection	NOUN
fcis-5414	54	15	task	task	NOUN
fcis-5414	54	16	is	be	AUX
fcis-5414	54	17	derived	derive	VERB
fcis-5414	54	18	from	from	ADP
fcis-5414	54	19	the	the	DET
fcis-5414	54	20	classification	classification	NOUN
fcis-5414	54	21	network	network	NOUN
fcis-5414	54	22	,	,	PUNCT
fcis-5414	54	23	with	with	ADP
fcis-5414	54	24	the	the	DET
fcis-5414	54	25	development	development	NOUN
fcis-5414	54	26	of	of	ADP
fcis-5414	54	27	deep	deep	ADJ
fcis-5414	54	28	neural	neural	ADJ
fcis-5414	54	29	networks	network	NOUN
fcis-5414	54	30	,	,	PUNCT
fcis-5414	54	31	the	the	DET
fcis-5414	54	32	network	network	NOUN
fcis-5414	54	33	structure	structure	NOUN
fcis-5414	54	34	is	be	AUX
fcis-5414	54	35	getting	get	VERB
fcis-5414	54	36	deeper	deep	ADJ
fcis-5414	54	37	and	and	CCONJ
fcis-5414	54	38	deeper	deep	ADJ
fcis-5414	54	39	,	,	PUNCT
fcis-5414	54	40	and	and	CCONJ
fcis-5414	54	41	basic	basic	ADJ
fcis-5414	54	42	backbone	backbone	NOUN
fcis-5414	54	43	networks	network	NOUN
fcis-5414	54	44	such	such	ADJ
fcis-5414	54	45	as	as	ADP
fcis-5414	54	46	resnet	resnet	NOUN
fcis-5414	54	47	and	and	CCONJ
fcis-5414	54	48	densenet	densenet	NOUN
fcis-5414	54	49	that	that	PRON
fcis-5414	54	50	can	can	AUX
fcis-5414	54	51	obtain	obtain	VERB
fcis-5414	54	52	better	well	ADJ
fcis-5414	54	53	feature	feature	NOUN
fcis-5414	54	54	information	information	NOUN
fcis-5414	54	55	have	have	AUX
fcis-5414	54	56	emerged	emerge	VERB
fcis-5414	54	57	.	.	PUNCT
fcis-5414	55	1	in	in	ADP
fcis-5414	55	2	order	order	NOUN
fcis-5414	55	3	to	to	PART
fcis-5414	55	4	improve	improve	VERB
fcis-5414	55	5	the	the	DET
fcis-5414	55	6	accuracy	accuracy	NOUN
fcis-5414	55	7	of	of	ADP
fcis-5414	55	8	the	the	DET
fcis-5414	55	9	ssd	ssd	NOUN
fcis-5414	55	10	algorithm	algorithm	NOUN
fcis-5414	55	11	,	,	PUNCT
fcis-5414	55	12	dssd	dssd	NOUN
fcis-5414	55	13	replaced	replace	VERB
fcis-5414	55	14	the	the	DET
fcis-5414	55	15	basic	basic	ADJ
fcis-5414	55	16	backbone	backbone	NOUN
fcis-5414	55	17	network	network	NOUN
fcis-5414	55	18	of	of	ADP
fcis-5414	55	19	the	the	DET
fcis-5414	55	20	original	original	ADJ
fcis-5414	55	21	ssd	ssd	NOUN
fcis-5414	55	22	algorithm	algorithm	NOUN
fcis-5414	55	23	with	with	ADP
fcis-5414	55	24	resnet-101	resnet-101	NOUN
fcis-5414	55	25	,	,	PUNCT
fcis-5414	55	26	and	and	CCONJ
fcis-5414	55	27	proposed	propose	VERB
fcis-5414	55	28	to	to	PART
fcis-5414	55	29	aggregate	aggregate	VERB
fcis-5414	55	30	context	context	NOUN
fcis-5414	55	31	information	information	NOUN
fcis-5414	55	32	through	through	ADP
fcis-5414	55	33	deconvolution	deconvolution	NOUN
fcis-5414	55	34	layers	layer	NOUN
fcis-5414	55	35	to	to	PART
fcis-5414	55	36	enhance	enhance	VERB
fcis-5414	55	37	the	the	DET
fcis-5414	55	38	high	high	ADJ
fcis-5414	55	39	-	-	PUNCT
fcis-5414	55	40	level	level	NOUN
fcis-5414	55	41	semantics	semantic	NOUN
fcis-5414	55	42	of	of	ADP
fcis-5414	55	43	shallow	shallow	ADJ
fcis-5414	55	44	features	feature	NOUN
fcis-5414	55	45	.	.	PUNCT
fcis-5414	56	1	dsod	dsod	PROPN
fcis-5414	56	2	uses	use	VERB
fcis-5414	56	3	densenet	densenet	NOUN
fcis-5414	56	4	with	with	ADP
fcis-5414	56	5	higher	high	ADJ
fcis-5414	56	6	parameter	parameter	NOUN
fcis-5414	56	7	efficiency	efficiency	NOUN
fcis-5414	56	8	than	than	SCONJ
fcis-5414	56	9	resnet	resnet	VERB
fcis-5414	56	10	as	as	ADP
fcis-5414	56	11	the	the	DET
fcis-5414	56	12	basic	basic	ADJ
fcis-5414	56	13	backbone	backbone	NOUN
fcis-5414	56	14	network	network	NOUN
fcis-5414	56	15	to	to	PART
fcis-5414	56	16	study	study	VERB
fcis-5414	56	17	how	how	SCONJ
fcis-5414	56	18	to	to	PART
fcis-5414	56	19	train	train	VERB
fcis-5414	56	20	object	object	NOUN
fcis-5414	56	21	detectors	detector	NOUN
fcis-5414	56	22	from	from	ADP
fcis-5414	56	23	scratch	scratch	NOUN
fcis-5414	56	24	.	.	PUNCT
fcis-5414	57	1	1.3	1.3	NUM
fcis-5414	57	2	.	.	PUNCT
fcis-5414	57	3	main	main	ADJ
fcis-5414	57	4	research	research	NOUN
fcis-5414	57	5	content	content	NOUN
fcis-5414	57	6	and	and	CCONJ
fcis-5414	57	7	arrangement	arrangement	NOUN
fcis-5414	57	8	of	of	ADP
fcis-5414	57	9	each	each	DET
fcis-5414	57	10	chapter	chapter	NOUN
fcis-5414	57	11	this	this	DET
fcis-5414	57	12	chapter	chapter	NOUN
fcis-5414	57	13	mainly	mainly	ADV
fcis-5414	57	14	introduces	introduce	VERB
fcis-5414	57	15	the	the	DET
fcis-5414	57	16	background	background	NOUN
fcis-5414	57	17	and	and	CCONJ
fcis-5414	57	18	significance	significance	NOUN
fcis-5414	57	19	of	of	ADP
fcis-5414	57	20	target	target	NOUN
fcis-5414	57	21	recognition	recognition	NOUN
fcis-5414	57	22	,	,	PUNCT
fcis-5414	57	23	and	and	CCONJ
fcis-5414	57	24	also	also	ADV
fcis-5414	57	25	introduces	introduce	VERB
fcis-5414	57	26	the	the	DET
fcis-5414	57	27	research	research	NOUN
fcis-5414	57	28	status	status	NOUN
fcis-5414	57	29	at	at	ADP
fcis-5414	57	30	home	home	NOUN
fcis-5414	57	31	and	and	CCONJ
fcis-5414	57	32	abroad	abroad	ADV
fcis-5414	57	33	.	.	PUNCT
fcis-5414	58	1	next	next	ADV
fcis-5414	58	2	,	,	PUNCT
fcis-5414	58	3	this	this	DET
fcis-5414	58	4	article	article	NOUN
fcis-5414	58	5	will	will	AUX
fcis-5414	58	6	focus	focus	VERB
fcis-5414	58	7	on	on	ADP
fcis-5414	58	8	the	the	DET
fcis-5414	58	9	principle	principle	NOUN
fcis-5414	58	10	of	of	ADP
fcis-5414	58	11	ssd	ssd	NOUN
fcis-5414	58	12	and	and	CCONJ
fcis-5414	58	13	its	its	PRON
fcis-5414	58	14	implementation	implementation	NOUN
fcis-5414	58	15	process	process	NOUN
fcis-5414	58	16	.	.	PUNCT
fcis-5414	59	1	2	2	X
fcis-5414	59	2	.	.	X
fcis-5414	59	3	the	the	DET
fcis-5414	59	4	principle	principle	NOUN
fcis-5414	59	5	and	and	CCONJ
fcis-5414	59	6	analysis	analysis	NOUN
fcis-5414	59	7	of	of	ADP
fcis-5414	59	8	singleshot	singleshot	ADJ
fcis-5414	59	9	multi	multi	ADJ
fcis-5414	59	10	-	-	ADJ
fcis-5414	59	11	frame	frame	ADJ
fcis-5414	59	12	detection	detection	NOUN
fcis-5414	59	13	2.1	2.1	NUM
fcis-5414	59	14	.	.	PUNCT
fcis-5414	60	1	introduction	introduction	NOUN
fcis-5414	60	2	to	to	ADP
fcis-5414	60	3	single	single	ADJ
fcis-5414	60	4	-	-	PUNCT
fcis-5414	60	5	shot	shoot	VERB
fcis-5414	60	6	multi	multi	ADJ
fcis-5414	60	7	-	-	ADJ
fcis-5414	60	8	frame	frame	ADJ
fcis-5414	60	9	detector	detector	NOUN
fcis-5414	60	10	algorithm	algorithm	NOUN
fcis-5414	60	11	in	in	ADP
fcis-5414	60	12	recent	recent	ADJ
fcis-5414	60	13	years	year	NOUN
fcis-5414	60	14	,	,	PUNCT
fcis-5414	60	15	with	with	ADP
fcis-5414	60	16	the	the	DET
fcis-5414	60	17	development	development	NOUN
fcis-5414	60	18	of	of	ADP
fcis-5414	60	19	deep	deep	ADJ
fcis-5414	60	20	learning	learning	NOUN
fcis-5414	60	21	and	and	CCONJ
fcis-5414	60	22	target	target	VERB
fcis-5414	60	23	detection	detection	NOUN
fcis-5414	60	24	technology	technology	NOUN
fcis-5414	60	25	,	,	PUNCT
fcis-5414	60	26	there	there	PRON
fcis-5414	60	27	have	have	AUX
fcis-5414	60	28	been	be	AUX
fcis-5414	60	29	many	many	ADJ
fcis-5414	60	30	methods	method	NOUN
fcis-5414	60	31	to	to	PART
fcis-5414	60	32	improve	improve	VERB
fcis-5414	60	33	the	the	DET
fcis-5414	60	34	detection	detection	NOUN
fcis-5414	60	35	accuracy	accuracy	NOUN
fcis-5414	60	36	of	of	ADP
fcis-5414	60	37	the	the	DET
fcis-5414	60	38	ssd	ssd	NOUN
fcis-5414	60	39	algorithm	algorithm	NOUN
fcis-5414	60	40	.	.	PUNCT
fcis-5414	61	1	for	for	ADP
fcis-5414	61	2	example	example	NOUN
fcis-5414	61	3	,	,	PUNCT
fcis-5414	61	4	the	the	DET
fcis-5414	61	5	dssd	dssd	NOUN
fcis-5414	61	6	algorithm	algorithm	NOUN
fcis-5414	61	7	replaces	replace	VERB
fcis-5414	61	8	vgg-16	vgg-16	NOUN
fcis-5414	61	9	with	with	ADP
fcis-5414	61	10	a	a	DET
fcis-5414	61	11	more	more	ADV
fcis-5414	61	12	complex	complex	ADJ
fcis-5414	61	13	resnet	resnet	NOUN
fcis-5414	61	14	to	to	PART
fcis-5414	61	15	obtain	obtain	VERB
fcis-5414	61	16	a	a	DET
fcis-5414	61	17	feature	feature	NOUN
fcis-5414	61	18	map	map	NOUN
fcis-5414	61	19	with	with	ADP
fcis-5414	61	20	better	well	ADJ
fcis-5414	61	21	representation	representation	NOUN
fcis-5414	61	22	capabilities	capability	NOUN
fcis-5414	61	23	,	,	PUNCT
fcis-5414	61	24	but	but	CCONJ
fcis-5414	61	25	the	the	DET
fcis-5414	61	26	complex	complex	NOUN
fcis-5414	61	27	the	the	DET
fcis-5414	61	28	network	network	NOUN
fcis-5414	61	29	structure	structure	NOUN
fcis-5414	61	30	means	mean	VERB
fcis-5414	61	31	a	a	DET
fcis-5414	61	32	huge	huge	ADJ
fcis-5414	61	33	amount	amount	NOUN
fcis-5414	61	34	of	of	ADP
fcis-5414	61	35	network	network	NOUN
fcis-5414	61	36	parameters	parameter	NOUN
fcis-5414	61	37	,	,	PUNCT
fcis-5414	61	38	this	this	DET
fcis-5414	61	39	method	method	NOUN
fcis-5414	61	40	greatly	greatly	ADV
fcis-5414	61	41	increases	increase	VERB
fcis-5414	61	42	the	the	DET
fcis-5414	61	43	memory	memory	NOUN
fcis-5414	61	44	and	and	CCONJ
fcis-5414	61	45	computational	computational	ADJ
fcis-5414	61	46	complexity	complexity	NOUN
fcis-5414	61	47	,	,	PUNCT
fcis-5414	61	48	and	and	CCONJ
fcis-5414	61	49	seriously	seriously	ADV
fcis-5414	61	50	reduces	reduce	VERB
fcis-5414	61	51	the	the	DET
fcis-5414	61	52	detection	detection	NOUN
fcis-5414	61	53	speed	speed	NOUN
fcis-5414	61	54	.	.	PUNCT
fcis-5414	62	1	in	in	ADP
fcis-5414	62	2	addition	addition	NOUN
fcis-5414	62	3	,	,	PUNCT
fcis-5414	62	4	the	the	DET
fcis-5414	62	5	researchers	researcher	NOUN
fcis-5414	62	6	found	find	VERB
fcis-5414	62	7	that	that	SCONJ
fcis-5414	62	8	the	the	DET
fcis-5414	62	9	deep	deep	ADJ
fcis-5414	62	10	features	feature	NOUN
fcis-5414	62	11	in	in	ADP
fcis-5414	62	12	the	the	DET
fcis-5414	62	13	basic	basic	ADJ
fcis-5414	62	14	backbone	backbone	NOUN
fcis-5414	62	15	network	network	NOUN
fcis-5414	62	16	have	have	VERB
fcis-5414	62	17	more	more	ADJ
fcis-5414	62	18	semantic	semantic	ADJ
fcis-5414	62	19	information	information	NOUN
fcis-5414	62	20	,	,	PUNCT
fcis-5414	62	21	while	while	SCONJ
fcis-5414	62	22	the	the	DET
fcis-5414	62	23	shallow	shallow	ADJ
fcis-5414	62	24	features	feature	NOUN
fcis-5414	62	25	have	have	VERB
fcis-5414	62	26	more	more	ADJ
fcis-5414	62	27	content	content	NOUN
fcis-5414	62	28	descriptions	description	NOUN
fcis-5414	62	29	,	,	PUNCT
fcis-5414	62	30	that	that	PRON
fcis-5414	62	31	is	be	AUX
fcis-5414	62	32	to	to	PART
fcis-5414	62	33	say	say	VERB
fcis-5414	62	34	,	,	PUNCT
fcis-5414	62	35	the	the	DET
fcis-5414	62	36	deeper	deep	ADJ
fcis-5414	62	37	advanced	advanced	ADJ
fcis-5414	62	38	features	feature	NOUN
fcis-5414	62	39	have	have	VERB
fcis-5414	62	40	a	a	DET
fcis-5414	62	41	stronger	strong	ADJ
fcis-5414	62	42	ability	ability	NOUN
fcis-5414	62	43	to	to	PART
fcis-5414	62	44	distinguish	distinguish	VERB
fcis-5414	62	45	classification	classification	NOUN
fcis-5414	62	46	tasks	task	NOUN
fcis-5414	62	47	,	,	PUNCT
fcis-5414	62	48	while	while	SCONJ
fcis-5414	62	49	the	the	DET
fcis-5414	62	50	shallow	shallow	NOUN
fcis-5414	62	51	features	feature	VERB
fcis-5414	62	52	low	low	ADJ
fcis-5414	62	53	-	-	PUNCT
fcis-5414	62	54	level	level	NOUN
fcis-5414	62	55	features	feature	NOUN
fcis-5414	62	56	are	be	AUX
fcis-5414	62	57	more	more	ADJ
fcis-5414	62	58	discriminative	discriminative	NOUN
fcis-5414	62	59	for	for	ADP
fcis-5414	62	60	the	the	DET
fcis-5414	62	61	object	object	NOUN
fcis-5414	62	62	location	location	NOUN
fcis-5414	62	63	regression	regression	NOUN
fcis-5414	62	64	task	task	NOUN
fcis-5414	62	65	.	.	PUNCT
fcis-5414	63	1	for	for	ADP
fcis-5414	63	2	example	example	NOUN
fcis-5414	63	3	,	,	PUNCT
fcis-5414	63	4	in	in	ADP
fcis-5414	63	5	recent	recent	ADJ
fcis-5414	63	6	years	year	NOUN
fcis-5414	63	7	,	,	PUNCT
fcis-5414	63	8	rssd	rssd	NOUN
fcis-5414	63	9	has	have	AUX
fcis-5414	63	10	designed	design	VERB
fcis-5414	63	11	a	a	DET
fcis-5414	63	12	rainbow	rainbow	NOUN
fcis-5414	63	13	connection	connection	NOUN
fcis-5414	63	14	method	method	NOUN
fcis-5414	63	15	that	that	PRON
fcis-5414	63	16	uses	use	VERB
fcis-5414	63	17	pooling	pool	VERB
fcis-5414	63	18	and	and	CCONJ
fcis-5414	63	19	deconvolution	deconvolution	NOUN
fcis-5414	63	20	operations	operation	NOUN
fcis-5414	63	21	at	at	ADP
fcis-5414	63	22	the	the	DET
fcis-5414	63	23	same	same	ADJ
fcis-5414	63	24	time	time	NOUN
fcis-5414	63	25	to	to	PART
fcis-5414	63	26	perform	perform	VERB
fcis-5414	63	27	feature	feature	NOUN
fcis-5414	63	28	fusion	fusion	NOUN
fcis-5414	63	29	on	on	ADP
fcis-5414	63	30	different	different	ADJ
fcis-5414	63	31	feature	feature	NOUN
fcis-5414	63	32	layers	layer	NOUN
fcis-5414	63	33	.	.	PUNCT
fcis-5414	64	1	fssd	fssd	NOUN
fcis-5414	64	2	generates	generate	VERB
fcis-5414	64	3	a	a	DET
fcis-5414	64	4	large	large	ADJ
fcis-5414	64	5	-	-	PUNCT
fcis-5414	64	6	scale	scale	NOUN
fcis-5414	64	7	feature	feature	NOUN
fcis-5414	64	8	by	by	ADP
fcis-5414	64	9	fusing	fuse	VERB
fcis-5414	64	10	multiple	multiple	ADJ
fcis-5414	64	11	shallow	shallow	ADJ
fcis-5414	64	12	feature	feature	NOUN
fcis-5414	64	13	layers	layer	NOUN
fcis-5414	64	14	of	of	ADP
fcis-5414	64	15	different	different	ADJ
fcis-5414	64	16	scales	scale	NOUN
fcis-5414	64	17	,	,	PUNCT
fcis-5414	64	18	and	and	CCONJ
fcis-5414	64	19	then	then	ADV
fcis-5414	64	20	constructs	construct	VERB
fcis-5414	64	21	a	a	DET
fcis-5414	64	22	new	new	ADJ
fcis-5414	64	23	feature	feature	NOUN
fcis-5414	64	24	pyramid	pyramid	NOUN
fcis-5414	64	25	for	for	ADP
fcis-5414	64	26	detection	detection	NOUN
fcis-5414	64	27	by	by	ADP
fcis-5414	64	28	downsampling	downsample	VERB
fcis-5414	64	29	on	on	ADP
fcis-5414	64	30	this	this	DET
fcis-5414	64	31	largescale	largescale	NOUN
fcis-5414	64	32	feature	feature	NOUN
fcis-5414	64	33	layer	layer	NOUN
fcis-5414	64	34	.	.	PUNCT
fcis-5414	65	1	refinedet	refinedet	PROPN
fcis-5414	65	2	effectively	effectively	ADV
fcis-5414	65	3	improves	improve	VERB
fcis-5414	65	4	the	the	DET
fcis-5414	65	5	accuracy	accuracy	NOUN
fcis-5414	65	6	of	of	ADP
fcis-5414	65	7	the	the	DET
fcis-5414	65	8	ssd	ssd	NOUN
fcis-5414	65	9	algorithm	algorithm	NOUN
fcis-5414	65	10	by	by	ADP
fcis-5414	65	11	refining	refining	NOUN
fcis-5414	65	12	and	and	CCONJ
fcis-5414	65	13	refining	refine	VERB
fcis-5414	65	14	the	the	DET
fcis-5414	65	15	position	position	NOUN
fcis-5414	65	16	and	and	CCONJ
fcis-5414	65	17	size	size	NOUN
fcis-5414	65	18	of	of	ADP
fcis-5414	65	19	the	the	DET
fcis-5414	65	20	anchor	anchor	NOUN
fcis-5414	65	21	frame	frame	NOUN
fcis-5414	65	22	.	.	PUNCT
fcis-5414	66	1	although	although	SCONJ
fcis-5414	66	2	the	the	DET
fcis-5414	66	3	above	above	ADJ
fcis-5414	66	4	methods	method	NOUN
fcis-5414	66	5	have	have	AUX
fcis-5414	66	6	made	make	VERB
fcis-5414	66	7	good	good	ADJ
fcis-5414	66	8	progress	progress	NOUN
fcis-5414	66	9	,	,	PUNCT
fcis-5414	66	10	their	their	PRON
fcis-5414	66	11	architecture	architecture	NOUN
fcis-5414	66	12	is	be	AUX
fcis-5414	66	13	very	very	ADV
fcis-5414	66	14	complex	complex	ADJ
fcis-5414	66	15	,	,	PUNCT
fcis-5414	66	16	which	which	PRON
fcis-5414	66	17	greatly	greatly	ADV
fcis-5414	66	18	reduces	reduce	VERB
fcis-5414	66	19	the	the	DET
fcis-5414	66	20	detection	detection	NOUN
fcis-5414	66	21	speed	speed	NOUN
fcis-5414	66	22	,	,	PUNCT
fcis-5414	66	23	but	but	CCONJ
fcis-5414	66	24	at	at	ADP
fcis-5414	66	25	the	the	DET
fcis-5414	66	26	same	same	ADJ
fcis-5414	66	27	time	time	NOUN
fcis-5414	66	28	these	these	DET
fcis-5414	66	29	methods	method	NOUN
fcis-5414	66	30	reveal	reveal	VERB
fcis-5414	66	31	that	that	SCONJ
fcis-5414	66	32	the	the	DET
fcis-5414	66	33	feature	feature	NOUN
fcis-5414	66	34	information	information	NOUN
fcis-5414	66	35	of	of	ADP
fcis-5414	66	36	the	the	DET
fcis-5414	66	37	shallow	shallow	ADJ
fcis-5414	66	38	layer	layer	NOUN
fcis-5414	66	39	and	and	CCONJ
fcis-5414	66	40	the	the	DET
fcis-5414	66	41	feature	feature	NOUN
fcis-5414	66	42	information	information	NOUN
fcis-5414	66	43	of	of	ADP
fcis-5414	66	44	the	the	DET
fcis-5414	66	45	deep	deep	ADJ
fcis-5414	66	46	layer	layer	NOUN
fcis-5414	66	47	are	be	AUX
fcis-5414	66	48	complementary	complementary	ADJ
fcis-5414	66	49	in	in	ADP
fcis-5414	66	50	target	target	NOUN
fcis-5414	66	51	detection	detection	NOUN
fcis-5414	66	52	.	.	PUNCT
fcis-5414	67	1	how	how	SCONJ
fcis-5414	67	2	to	to	PART
fcis-5414	67	3	utilize	utilize	VERB
fcis-5414	67	4	shallow	shallow	ADJ
fcis-5414	67	5	and	and	CCONJ
fcis-5414	67	6	deep	deep	ADJ
fcis-5414	67	7	features	feature	NOUN
fcis-5414	67	8	to	to	PART
fcis-5414	67	9	effectively	effectively	ADV
fcis-5414	67	10	integrate	integrate	VERB
fcis-5414	67	11	feature	feature	NOUN
fcis-5414	67	12	pyramid	pyramid	NOUN
fcis-5414	67	13	representations	representation	NOUN
fcis-5414	67	14	determines	determine	VERB
fcis-5414	67	15	the	the	DET
fcis-5414	67	16	detection	detection	NOUN
fcis-5414	67	17	performance	performance	NOUN
fcis-5414	67	18	.	.	PUNCT
fcis-5414	68	1	among	among	ADP
fcis-5414	68	2	many	many	ADJ
fcis-5414	68	3	object	object	NOUN
fcis-5414	68	4	detection	detection	NOUN
fcis-5414	68	5	algorithms	algorithm	NOUN
fcis-5414	68	6	,	,	PUNCT
fcis-5414	68	7	single	single	ADJ
fcis-5414	68	8	shot	shot	NOUN
fcis-5414	68	9	multibox	multibox	NOUN
fcis-5414	68	10	detector	detector	NOUN
fcis-5414	68	11	(	(	PUNCT
fcis-5414	68	12	ssd	ssd	NOUN
fcis-5414	68	13	)	)	PUNCT
fcis-5414	68	14	is	be	AUX
fcis-5414	68	15	a	a	DET
fcis-5414	68	16	fast	fast	ADJ
fcis-5414	68	17	and	and	CCONJ
fcis-5414	68	18	robust	robust	ADJ
fcis-5414	68	19	method	method	NOUN
fcis-5414	68	20	.	.	PUNCT
fcis-5414	69	1	as	as	SCONJ
fcis-5414	69	2	shown	show	VERB
fcis-5414	69	3	in	in	ADP
fcis-5414	69	4	the	the	DET
fcis-5414	69	5	figure	figure	NOUN
fcis-5414	69	6	,	,	PUNCT
fcis-5414	69	7	it	it	PRON
fcis-5414	69	8	uses	use	VERB
fcis-5414	69	9	the	the	DET
fcis-5414	69	10	feature	feature	NOUN
fcis-5414	69	11	maps	map	NOUN
fcis-5414	69	12	of	of	ADP
fcis-5414	69	13	different	different	ADJ
fcis-5414	69	14	output	output	NOUN
fcis-5414	69	15	layers	layer	NOUN
fcis-5414	69	16	of	of	ADP
fcis-5414	69	17	the	the	DET
fcis-5414	69	18	network	network	NOUN
fcis-5414	69	19	to	to	PART
fcis-5414	69	20	directly	directly	ADV
fcis-5414	69	21	predict	predict	VERB
fcis-5414	69	22	the	the	DET
fcis-5414	69	23	target	target	NOUN
fcis-5414	69	24	111	111	NUM
fcis-5414	69	25	category	category	NOUN
fcis-5414	69	26	and	and	CCONJ
fcis-5414	69	27	bounding	bounding	NOUN
fcis-5414	69	28	box	box	NOUN
fcis-5414	69	29	,	,	PUNCT
fcis-5414	69	30	and	and	CCONJ
fcis-5414	69	31	adopts	adopt	VERB
fcis-5414	69	32	a	a	DET
fcis-5414	69	33	multi	multi	ADJ
fcis-5414	69	34	-	-	ADJ
fcis-5414	69	35	scale	scale	ADJ
fcis-5414	69	36	strategy	strategy	NOUN
fcis-5414	69	37	to	to	PART
fcis-5414	69	38	integrate	integrate	VERB
fcis-5414	69	39	the	the	DET
fcis-5414	69	40	detection	detection	NOUN
fcis-5414	69	41	results	result	NOUN
fcis-5414	69	42	of	of	ADP
fcis-5414	69	43	different	different	ADJ
fcis-5414	69	44	layers	layer	NOUN
fcis-5414	69	45	,	,	PUNCT
fcis-5414	69	46	and	and	CCONJ
fcis-5414	69	47	finally	finally	ADV
fcis-5414	69	48	uses	use	VERB
fcis-5414	69	49	the	the	DET
fcis-5414	69	50	non	non	ADJ
fcis-5414	69	51	-	-	ADJ
fcis-5414	69	52	maximum	maximum	ADJ
fcis-5414	69	53	value	value	NOUN
fcis-5414	69	54	suppression	suppression	NOUN
fcis-5414	69	55	method	method	NOUN
fcis-5414	69	56	(	(	PUNCT
fcis-5414	69	57	non	non	X
fcis-5414	69	58	maximum	maximum	ADJ
fcis-5414	69	59	suppression	suppression	NOUN
fcis-5414	69	60	,	,	PUNCT
fcis-5414	69	61	nms	nms	NOUN
fcis-5414	69	62	)	)	PUNCT
fcis-5414	69	63	suppresses	suppress	VERB
fcis-5414	69	64	redundant	redundant	ADJ
fcis-5414	69	65	detection	detection	NOUN
fcis-5414	69	66	frames	frame	NOUN
fcis-5414	69	67	.	.	PUNCT
fcis-5414	70	1	compared	compare	VERB
fcis-5414	70	2	with	with	ADP
fcis-5414	70	3	many	many	ADJ
fcis-5414	70	4	object	object	NOUN
fcis-5414	70	5	detection	detection	NOUN
fcis-5414	70	6	algorithms	algorithm	NOUN
fcis-5414	70	7	,	,	PUNCT
fcis-5414	70	8	single	single	ADJ
fcis-5414	70	9	shot	shot	NOUN
fcis-5414	70	10	multibox	multibox	NOUN
fcis-5414	70	11	detector	detector	NOUN
fcis-5414	70	12	(	(	PUNCT
fcis-5414	70	13	ssd	ssd	NOUN
fcis-5414	70	14	)	)	PUNCT
fcis-5414	70	15	is	be	AUX
fcis-5414	70	16	a	a	DET
fcis-5414	70	17	fast	fast	ADJ
fcis-5414	70	18	and	and	CCONJ
fcis-5414	70	19	robust	robust	ADJ
fcis-5414	70	20	method	method	NOUN
fcis-5414	70	21	.	.	PUNCT
fcis-5414	71	1	as	as	SCONJ
fcis-5414	71	2	shown	show	VERB
fcis-5414	71	3	in	in	ADP
fcis-5414	71	4	figure	figure	NOUN
fcis-5414	71	5	2.1	2.1	NUM
fcis-5414	71	6	,	,	PUNCT
fcis-5414	71	7	it	it	PRON
fcis-5414	71	8	uses	use	VERB
fcis-5414	71	9	the	the	DET
fcis-5414	71	10	feature	feature	NOUN
fcis-5414	71	11	maps	map	NOUN
fcis-5414	71	12	of	of	ADP
fcis-5414	71	13	different	different	ADJ
fcis-5414	71	14	output	output	NOUN
fcis-5414	71	15	layers	layer	NOUN
fcis-5414	71	16	of	of	ADP
fcis-5414	71	17	the	the	DET
fcis-5414	71	18	network	network	NOUN
fcis-5414	71	19	to	to	PART
fcis-5414	71	20	directly	directly	ADV
fcis-5414	71	21	predict	predict	VERB
fcis-5414	71	22	the	the	DET
fcis-5414	71	23	target	target	NOUN
fcis-5414	71	24	category	category	NOUN
fcis-5414	71	25	and	and	CCONJ
fcis-5414	71	26	bounding	bounding	NOUN
fcis-5414	71	27	box	box	NOUN
fcis-5414	71	28	,	,	PUNCT
fcis-5414	71	29	and	and	CCONJ
fcis-5414	71	30	adopts	adopt	VERB
fcis-5414	71	31	a	a	DET
fcis-5414	71	32	multi	multi	ADJ
fcis-5414	71	33	-	-	ADJ
fcis-5414	71	34	scale	scale	ADJ
fcis-5414	71	35	strategy	strategy	NOUN
fcis-5414	71	36	to	to	PART
fcis-5414	71	37	integrate	integrate	VERB
fcis-5414	71	38	the	the	DET
fcis-5414	71	39	detection	detection	NOUN
fcis-5414	71	40	results	result	NOUN
fcis-5414	71	41	of	of	ADP
fcis-5414	71	42	different	different	ADJ
fcis-5414	71	43	layers	layer	NOUN
fcis-5414	71	44	,	,	PUNCT
fcis-5414	71	45	and	and	CCONJ
fcis-5414	71	46	finally	finally	ADV
fcis-5414	71	47	uses	use	VERB
fcis-5414	71	48	the	the	DET
fcis-5414	71	49	non	non	ADJ
fcis-5414	71	50	-	-	ADJ
fcis-5414	71	51	maximum	maximum	ADJ
fcis-5414	71	52	value	value	NOUN
fcis-5414	71	53	suppression	suppression	NOUN
fcis-5414	71	54	method	method	NOUN
fcis-5414	71	55	(	(	PUNCT
fcis-5414	71	56	non	non	ADJ
fcis-5414	71	57	-	-	ADJ
fcis-5414	71	58	maximum	maximum	ADJ
fcis-5414	71	59	suppression	suppression	NOUN
fcis-5414	71	60	,	,	PUNCT
fcis-5414	71	61	nms	nms	NOUN
fcis-5414	71	62	)	)	PUNCT
fcis-5414	71	63	suppresses	suppress	VERB
fcis-5414	71	64	redundant	redundant	ADJ
fcis-5414	71	65	detection	detection	NOUN
fcis-5414	71	66	frames	frame	NOUN
fcis-5414	71	67	.	.	PUNCT
fcis-5414	72	1	unlike	unlike	ADP
fcis-5414	72	2	other	other	ADJ
fcis-5414	72	3	twostage	twostage	NOUN
fcis-5414	72	4	detection	detection	NOUN
fcis-5414	72	5	algorithms	algorithm	NOUN
fcis-5414	72	6	,	,	PUNCT
fcis-5414	72	7	ssd	ssd	NOUN
fcis-5414	72	8	does	do	AUX
fcis-5414	72	9	not	not	PART
fcis-5414	72	10	need	need	VERB
fcis-5414	72	11	to	to	PART
fcis-5414	72	12	generate	generate	VERB
fcis-5414	72	13	region	region	NOUN
fcis-5414	72	14	proposals	proposal	NOUN
fcis-5414	72	15	,	,	PUNCT
fcis-5414	72	16	it	it	PRON
fcis-5414	72	17	directly	directly	ADV
fcis-5414	72	18	detects	detect	VERB
fcis-5414	72	19	objects	object	NOUN
fcis-5414	72	20	on	on	ADP
fcis-5414	72	21	the	the	DET
fcis-5414	72	22	feature	feature	NOUN
fcis-5414	72	23	layer	layer	NOUN
fcis-5414	72	24	of	of	ADP
fcis-5414	72	25	the	the	DET
fcis-5414	72	26	output	output	NOUN
fcis-5414	72	27	layer	layer	NOUN
fcis-5414	72	28	,	,	PUNCT
fcis-5414	72	29	so	so	CCONJ
fcis-5414	72	30	ssd	ssd	PROPN
fcis-5414	72	31	can	can	AUX
fcis-5414	72	32	achieve	achieve	VERB
fcis-5414	72	33	real	real	ADJ
fcis-5414	72	34	-	-	PUNCT
fcis-5414	72	35	time	time	NOUN
fcis-5414	72	36	detection	detection	NOUN
fcis-5414	72	37	.	.	PUNCT
fcis-5414	73	1	2.2	2.2	NUM
fcis-5414	73	2	.	.	PUNCT
fcis-5414	73	3	principle	principle	NOUN
fcis-5414	73	4	of	of	ADP
fcis-5414	73	5	ssd	ssd	ADJ
fcis-5414	73	6	algorithm	algorithm	NOUN
fcis-5414	73	7	as	as	SCONJ
fcis-5414	73	8	shown	show	VERB
fcis-5414	73	9	in	in	ADP
fcis-5414	73	10	the	the	DET
fcis-5414	73	11	figure	figure	NOUN
fcis-5414	73	12	,	,	PUNCT
fcis-5414	73	13	the	the	DET
fcis-5414	73	14	ssd	ssd	NOUN
fcis-5414	73	15	algorithm	algorithm	NOUN
fcis-5414	73	16	uses	use	VERB
fcis-5414	73	17	vgg-16	vgg-16	NOUN
fcis-5414	73	18	as	as	ADP
fcis-5414	73	19	the	the	DET
fcis-5414	73	20	basic	basic	ADJ
fcis-5414	73	21	backbone	backbone	NOUN
fcis-5414	73	22	network	network	NOUN
fcis-5414	73	23	.	.	PUNCT
fcis-5414	74	1	vgg-16	vgg-16	NOUN
fcis-5414	74	2	is	be	AUX
fcis-5414	74	3	a	a	DET
fcis-5414	74	4	convolutional	convolutional	ADJ
fcis-5414	74	5	neural	neural	ADJ
fcis-5414	74	6	network	network	NOUN
fcis-5414	74	7	model	model	NOUN
fcis-5414	74	8	proposed	propose	VERB
fcis-5414	74	9	by	by	ADP
fcis-5414	74	10	k.	k.	PROPN
fcis-5414	74	11	simonyan	simonyan	PROPN
fcis-5414	74	12	and	and	CCONJ
fcis-5414	74	13	a.	a.	NOUN
fcis-5414	74	14	zisserman	zisserman	NOUN
fcis-5414	74	15	in	in	ADP
fcis-5414	74	16	2014	2014	NUM
fcis-5414	74	17	.	.	PUNCT
fcis-5414	75	1	ssd	ssd	PROPN
fcis-5414	75	2	uses	use	VERB
fcis-5414	75	3	the	the	DET
fcis-5414	75	4	two	two	NUM
fcis-5414	75	5	full	full	ADJ
fcis-5414	75	6	the	the	DET
fcis-5414	75	7	connection	connection	NOUN
fcis-5414	75	8	layers	layer	NOUN
fcis-5414	75	9	fc6	fc6	VERB
fcis-5414	75	10	and	and	CCONJ
fcis-5414	75	11	fc7	fc7	NOUN
fcis-5414	75	12	are	be	AUX
fcis-5414	75	13	converted	convert	VERB
fcis-5414	75	14	into	into	ADP
fcis-5414	75	15	3×3	3×3	NUM
fcis-5414	75	16	convolutional	convolutional	ADJ
fcis-5414	75	17	layer	layer	NOUN
fcis-5414	75	18	conv6	conv6	PROPN
fcis-5414	76	1	and	and	CCONJ
fcis-5414	76	2	1×1	1×1	ADJ
fcis-5414	76	3	convolutional	convolutional	ADJ
fcis-5414	76	4	layer	layer	NOUN
fcis-5414	76	5	conv7	conv7	NOUN
fcis-5414	76	6	,	,	PUNCT
fcis-5414	76	7	then	then	ADV
fcis-5414	76	8	the	the	DET
fcis-5414	76	9	dropout	dropout	NOUN
fcis-5414	76	10	layer	layer	NOUN
fcis-5414	76	11	and	and	CCONJ
fcis-5414	76	12	the	the	DET
fcis-5414	76	13	fully	fully	ADV
fcis-5414	76	14	connected	connect	VERB
fcis-5414	76	15	layer	layer	NOUN
fcis-5414	76	16	fc8	fc8	NOUN
fcis-5414	76	17	are	be	AUX
fcis-5414	76	18	removed	remove	VERB
fcis-5414	76	19	,	,	PUNCT
fcis-5414	76	20	and	and	CCONJ
fcis-5414	76	21	then	then	ADV
fcis-5414	76	22	4	4	NUM
fcis-5414	76	23	convolutional	convolutional	ADJ
fcis-5414	76	24	layers	layer	NOUN
fcis-5414	76	25	are	be	AUX
fcis-5414	76	26	added	add	VERB
fcis-5414	76	27	to	to	PART
fcis-5414	76	28	construct	construct	VERB
fcis-5414	76	29	the	the	DET
fcis-5414	76	30	network	network	NOUN
fcis-5414	76	31	structure	structure	NOUN
fcis-5414	76	32	of	of	ADP
fcis-5414	76	33	the	the	DET
fcis-5414	76	34	algorithm	algorithm	NOUN
fcis-5414	76	35	,	,	PUNCT
fcis-5414	76	36	finally	finally	ADV
fcis-5414	76	37	,	,	PUNCT
fcis-5414	76	38	conv4_3	conv4_3	PROPN
fcis-5414	76	39	,	,	PUNCT
fcis-5414	76	40	conv7	conv7	PROPN
fcis-5414	76	41	,	,	PUNCT
fcis-5414	76	42	conv8_2	conv8_2	NOUN
fcis-5414	76	43	,	,	PUNCT
fcis-5414	76	44	conv9_2	conv9_2	NOUN
fcis-5414	76	45	,	,	PUNCT
fcis-5414	76	46	conv10_2	conv10_2	NOUN
fcis-5414	76	47	and	and	CCONJ
fcis-5414	76	48	conv11_2	conv11_2	PROPN
fcis-5414	76	49	are	be	AUX
fcis-5414	76	50	used	use	VERB
fcis-5414	76	51	to	to	PART
fcis-5414	76	52	construct	construct	VERB
fcis-5414	76	53	a	a	DET
fcis-5414	76	54	multi	multi	ADJ
fcis-5414	76	55	-	-	ADJ
fcis-5414	76	56	scale	scale	ADJ
fcis-5414	76	57	feature	feature	NOUN
fcis-5414	76	58	pyramid	pyramid	NOUN
fcis-5414	76	59	for	for	ADP
fcis-5414	76	60	detection	detection	NOUN
fcis-5414	76	61	tasks	task	NOUN
fcis-5414	76	62	to	to	PART
fcis-5414	76	63	complete	complete	VERB
fcis-5414	76	64	detection	detection	NOUN
fcis-5414	76	65	and	and	CCONJ
fcis-5414	76	66	recognition	recognition	NOUN
fcis-5414	76	67	tasks	task	NOUN
fcis-5414	76	68	.	.	PUNCT
fcis-5414	77	1	based	base	VERB
fcis-5414	77	2	on	on	ADP
fcis-5414	77	3	the	the	DET
fcis-5414	77	4	above	above	ADJ
fcis-5414	77	5	network	network	NOUN
fcis-5414	77	6	structure	structure	NOUN
fcis-5414	77	7	,	,	PUNCT
fcis-5414	77	8	the	the	DET
fcis-5414	77	9	image	image	NOUN
fcis-5414	77	10	is	be	AUX
fcis-5414	77	11	passed	pass	VERB
fcis-5414	77	12	through	through	ADP
fcis-5414	77	13	a	a	DET
fcis-5414	77	14	deep	deep	ADJ
fcis-5414	77	15	neural	neural	ADJ
fcis-5414	77	16	network	network	NOUN
fcis-5414	77	17	to	to	PART
fcis-5414	77	18	generate	generate	VERB
fcis-5414	77	19	a	a	DET
fcis-5414	77	20	series	series	NOUN
fcis-5414	77	21	of	of	ADP
fcis-5414	77	22	feature	feature	NOUN
fcis-5414	77	23	maps	map	NOUN
fcis-5414	77	24	.	.	PUNCT
fcis-5414	78	1	the	the	DET
fcis-5414	78	2	traditional	traditional	ADJ
fcis-5414	78	3	ssd	ssd	NOUN
fcis-5414	78	4	abandons	abandon	VERB
fcis-5414	78	5	the	the	DET
fcis-5414	78	6	region	region	NOUN
fcis-5414	78	7	proposal	proposal	NOUN
fcis-5414	78	8	step	step	NOUN
fcis-5414	78	9	in	in	ADP
fcis-5414	78	10	the	the	DET
fcis-5414	78	11	two	two	NUM
fcis-5414	78	12	-	-	PUNCT
fcis-5414	78	13	stage	stage	NOUN
fcis-5414	78	14	detection	detection	NOUN
fcis-5414	78	15	framework	framework	NOUN
fcis-5414	78	16	and	and	CCONJ
fcis-5414	78	17	instead	instead	ADV
fcis-5414	78	18	uses	use	VERB
fcis-5414	78	19	multiscale	multiscale	ADJ
fcis-5414	78	20	feature	feature	NOUN
fcis-5414	78	21	maps	map	NOUN
fcis-5414	78	22	for	for	ADP
fcis-5414	78	23	detection	detection	NOUN
fcis-5414	78	24	.	.	PUNCT
fcis-5414	79	1	first	first	ADV
fcis-5414	79	2	,	,	PUNCT
fcis-5414	79	3	a	a	DET
fcis-5414	79	4	series	series	NOUN
fcis-5414	79	5	of	of	ADP
fcis-5414	79	6	default	default	NOUN
fcis-5414	79	7	boxes	box	NOUN
fcis-5414	79	8	(	(	PUNCT
fcis-5414	79	9	default	default	NOUN
fcis-5414	79	10	box	box	NOUN
fcis-5414	79	11	)	)	PUNCT
fcis-5414	79	12	are	be	AUX
fcis-5414	79	13	generated	generate	VERB
fcis-5414	79	14	for	for	ADP
fcis-5414	79	15	the	the	DET
fcis-5414	79	16	six	six	NUM
fcis-5414	79	17	feature	feature	NOUN
fcis-5414	79	18	layers	layer	NOUN
fcis-5414	79	19	(	(	PUNCT
fcis-5414	79	20	feature	feature	NOUN
fcis-5414	79	21	maps	map	NOUN
fcis-5414	79	22	)	)	PUNCT
fcis-5414	79	23	of	of	ADP
fcis-5414	79	24	different	different	ADJ
fcis-5414	79	25	sizes	size	NOUN
fcis-5414	79	26	in	in	ADP
fcis-5414	79	27	the	the	DET
fcis-5414	79	28	feature	feature	NOUN
fcis-5414	79	29	pyramid	pyramid	NOUN
fcis-5414	79	30	according	accord	VERB
fcis-5414	79	31	to	to	ADP
fcis-5414	79	32	the	the	DET
fcis-5414	79	33	size	size	NOUN
fcis-5414	79	34	and	and	CCONJ
fcis-5414	79	35	aspect	aspect	NOUN
fcis-5414	79	36	ratio	ratio	NOUN
fcis-5414	79	37	,	,	PUNCT
fcis-5414	79	38	and	and	CCONJ
fcis-5414	79	39	then	then	ADV
fcis-5414	79	40	the	the	DET
fcis-5414	79	41	prior	prior	ADJ
fcis-5414	79	42	box	box	NOUN
fcis-5414	79	43	(	(	PUNCT
fcis-5414	79	44	prior	prior	ADJ
fcis-5414	79	45	box	box	NOUN
fcis-5414	79	46	)	)	PUNCT
fcis-5414	79	47	is	be	AUX
fcis-5414	79	48	selected	select	VERB
fcis-5414	79	49	for	for	ADP
fcis-5414	79	50	training	training	NOUN
fcis-5414	79	51	,	,	PUNCT
fcis-5414	79	52	and	and	CCONJ
fcis-5414	79	53	finally	finally	ADV
fcis-5414	79	54	the	the	DET
fcis-5414	79	55	first	first	ADJ
fcis-5414	79	56	the	the	DET
fcis-5414	79	57	inspection	inspection	NOUN
fcis-5414	79	58	box	box	NOUN
fcis-5414	79	59	is	be	AUX
fcis-5414	79	60	the	the	DET
fcis-5414	79	61	initial	initial	ADJ
fcis-5414	79	62	bounding	bounding	NOUN
fcis-5414	79	63	box	box	NOUN
fcis-5414	79	64	and	and	CCONJ
fcis-5414	79	65	returns	return	VERB
fcis-5414	79	66	it	it	PRON
fcis-5414	79	67	to	to	ADP
fcis-5414	79	68	the	the	DET
fcis-5414	79	69	correct	correct	ADJ
fcis-5414	79	70	target	target	NOUN
fcis-5414	79	71	ground	ground	NOUN
fcis-5414	79	72	truth	truth	NOUN
fcis-5414	79	73	.	.	PUNCT
fcis-5414	80	1	the	the	DET
fcis-5414	80	2	whole	whole	ADJ
fcis-5414	80	3	process	process	NOUN
fcis-5414	80	4	can	can	AUX
fcis-5414	80	5	be	be	AUX
fcis-5414	80	6	completed	complete	VERB
fcis-5414	80	7	through	through	ADP
fcis-5414	80	8	one	one	NUM
fcis-5414	80	9	forward	forward	ADJ
fcis-5414	80	10	propagation	propagation	NOUN
fcis-5414	80	11	of	of	ADP
fcis-5414	80	12	the	the	DET
fcis-5414	80	13	network	network	NOUN
fcis-5414	80	14	.	.	PUNCT
fcis-5414	81	1	the	the	DET
fcis-5414	81	2	mechanism	mechanism	NOUN
fcis-5414	81	3	of	of	ADP
fcis-5414	81	4	default	default	NOUN
fcis-5414	81	5	box	box	NOUN
fcis-5414	81	6	is	be	AUX
fcis-5414	81	7	similar	similar	ADJ
fcis-5414	81	8	to	to	ADP
fcis-5414	81	9	anchor	anchor	NOUN
fcis-5414	81	10	boxes	box	NOUN
fcis-5414	81	11	in	in	ADP
fcis-5414	81	12	faster	fast	ADJ
fcis-5414	81	13	rcnn	rcnn	NOUN
fcis-5414	81	14	.	.	PUNCT
fcis-5414	82	1	for	for	ADP
fcis-5414	82	2	feature	feature	NOUN
fcis-5414	82	3	layers	layer	NOUN
fcis-5414	82	4	of	of	ADP
fcis-5414	82	5	different	different	ADJ
fcis-5414	82	6	scales	scale	NOUN
fcis-5414	82	7	,	,	PUNCT
fcis-5414	82	8	the	the	DET
fcis-5414	82	9	default	default	NOUN
fcis-5414	82	10	boxes	box	NOUN
fcis-5414	82	11	have	have	VERB
fcis-5414	82	12	different	different	ADJ
fcis-5414	82	13	sizes	size	NOUN
fcis-5414	82	14	and	and	CCONJ
fcis-5414	82	15	aspect	aspect	NOUN
fcis-5414	82	16	ratios	ratio	NOUN
fcis-5414	82	17	in	in	ADP
fcis-5414	82	18	order	order	NOUN
fcis-5414	82	19	to	to	PART
fcis-5414	82	20	detect	detect	VERB
fcis-5414	82	21	targets	target	NOUN
fcis-5414	82	22	of	of	ADP
fcis-5414	82	23	different	different	ADJ
fcis-5414	82	24	scales	scale	NOUN
fcis-5414	82	25	.	.	PUNCT
fcis-5414	83	1	as	as	SCONJ
fcis-5414	83	2	shown	show	VERB
fcis-5414	83	3	in	in	ADP
fcis-5414	83	4	the	the	DET
fcis-5414	83	5	figure	figure	NOUN
fcis-5414	83	6	,	,	PUNCT
fcis-5414	83	7	picture	picture	NOUN
fcis-5414	83	8	(	(	PUNCT
fcis-5414	83	9	a	a	X
fcis-5414	83	10	)	)	PUNCT
fcis-5414	83	11	is	be	AUX
fcis-5414	83	12	a	a	DET
fcis-5414	83	13	picture	picture	NOUN
fcis-5414	83	14	marked	mark	VERB
fcis-5414	83	15	with	with	ADP
fcis-5414	83	16	a	a	DET
fcis-5414	83	17	real	real	ADJ
fcis-5414	83	18	bounding	bounding	NOUN
fcis-5414	83	19	box	box	NOUN
fcis-5414	83	20	,	,	PUNCT
fcis-5414	83	21	picture	picture	NOUN
fcis-5414	83	22	(	(	PUNCT
fcis-5414	83	23	b	b	NOUN
fcis-5414	83	24	)	)	PUNCT
fcis-5414	83	25	and	and	CCONJ
fcis-5414	83	26	picture	picture	NOUN
fcis-5414	83	27	(	(	PUNCT
fcis-5414	83	28	c	c	X
fcis-5414	83	29	)	)	PUNCT
fcis-5414	83	30	are	be	AUX
fcis-5414	83	31	feature	feature	NOUN
fcis-5414	83	32	layers	layer	NOUN
fcis-5414	83	33	of	of	ADP
fcis-5414	83	34	two	two	NUM
fcis-5414	83	35	different	different	ADJ
fcis-5414	83	36	scales	scale	NOUN
fcis-5414	83	37	,	,	PUNCT
fcis-5414	83	38	respectively	respectively	ADV
fcis-5414	83	39	,	,	PUNCT
fcis-5414	83	40	8	8	NUM
fcis-5414	83	41	×	×	NOUN
fcis-5414	83	42	8	8	NUM
fcis-5414	83	43	and	and	CCONJ
fcis-5414	83	44	4	4	NUM
fcis-5414	83	45	×	×	NOUN
fcis-5414	83	46	4	4	NUM
fcis-5414	83	47	the	the	DET
fcis-5414	83	48	default	default	NOUN
fcis-5414	83	49	box	box	NOUN
fcis-5414	83	50	is	be	AUX
fcis-5414	83	51	set	set	VERB
fcis-5414	83	52	for	for	ADP
fcis-5414	83	53	each	each	DET
fcis-5414	83	54	unit	unit	NOUN
fcis-5414	83	55	of	of	ADP
fcis-5414	83	56	the	the	DET
fcis-5414	83	57	feature	feature	NOUN
fcis-5414	83	58	layer	layer	NOUN
fcis-5414	83	59	a	a	DET
fcis-5414	83	60	series	series	NOUN
fcis-5414	83	61	of	of	ADP
fcis-5414	83	62	fixed	fix	VERB
fcis-5414	83	63	-	-	PUNCT
fcis-5414	83	64	sized	sized	ADJ
fcis-5414	83	65	borders	border	NOUN
fcis-5414	83	66	on	on	ADP
fcis-5414	83	67	a	a	DET
fcis-5414	83	68	grid	grid	NOUN
fcis-5414	83	69	.	.	PUNCT
fcis-5414	84	1	assuming	assume	VERB
fcis-5414	84	2	that	that	SCONJ
fcis-5414	84	3	the	the	DET
fcis-5414	84	4	size	size	NOUN
fcis-5414	84	5	of	of	ADP
fcis-5414	84	6	a	a	DET
fcis-5414	84	7	feature	feature	NOUN
fcis-5414	84	8	layer	layer	NOUN
fcis-5414	84	9	is	be	AUX
fcis-5414	84	10	𝑚	𝑚	PROPN
fcis-5414	84	11	×	×	PROPN
fcis-5414	84	12	𝑛	𝑛	NOUN
fcis-5414	84	13	,	,	PUNCT
fcis-5414	84	14	and	and	CCONJ
fcis-5414	84	15	each	each	DET
fcis-5414	84	16	cell	cell	NOUN
fcis-5414	84	17	has	have	VERB
fcis-5414	84	18	𝑘a	𝑘a	ADP
fcis-5414	84	19	default	default	NOUN
fcis-5414	84	20	box	box	NOUN
fcis-5414	84	21	,	,	PUNCT
fcis-5414	84	22	for	for	ADP
fcis-5414	84	23	each	each	DET
fcis-5414	84	24	default	default	NOUN
fcis-5414	84	25	box	box	NOUN
fcis-5414	84	26	,	,	PUNCT
fcis-5414	84	27	it	it	PRON
fcis-5414	84	28	is	be	AUX
fcis-5414	84	29	necessary	necessary	ADJ
fcis-5414	84	30	to	to	PART
fcis-5414	84	31	predict	predict	VERB
fcis-5414	84	32	the	the	DET
fcis-5414	84	33	confidence	confidence	NOUN
fcis-5414	84	34	loss	loss	NOUN
fcis-5414	84	35	(	(	PUNCT
fcis-5414	84	36	confidence	confidence	NOUN
fcis-5414	84	37	loss	loss	NOUN
fcis-5414	84	38	,	,	PUNCT
fcis-5414	84	39	conf	conf	NOUN
fcis-5414	84	40	)	)	PUNCT
fcis-5414	84	41	of	of	ADP
fcis-5414	84	42	all	all	DET
fcis-5414	84	43	categories	category	NOUN
fcis-5414	84	44	and	and	CCONJ
fcis-5414	84	45	the	the	DET
fcis-5414	84	46	localization	localization	NOUN
fcis-5414	84	47	loss	loss	NOUN
fcis-5414	84	48	(	(	PUNCT
fcis-5414	84	49	localization	localization	NOUN
fcis-5414	84	50	loss	loss	NOUN
fcis-5414	84	51	,	,	PUNCT
fcis-5414	84	52	loc	loc	PROPN
fcis-5414	84	53	)	)	PUNCT
fcis-5414	84	54	of	of	ADP
fcis-5414	84	55	the	the	DET
fcis-5414	84	56	border	border	NOUN
fcis-5414	84	57	regression	regression	NOUN
fcis-5414	84	58	,	,	PUNCT
fcis-5414	84	59	then	then	ADV
fcis-5414	84	60	this	this	DET
fcis-5414	84	61	feature	feature	NOUN
fcis-5414	84	62	layer	layer	NOUN
fcis-5414	84	63	has	have	VERB
fcis-5414	84	64	a	a	DET
fcis-5414	84	65	total	total	NOUN
fcis-5414	84	66	of	of	ADP
fcis-5414	84	67	𝑘𝑚𝑛(𝑐	𝑘𝑚𝑛(𝑐	PROPN
fcis-5414	84	68	+	+	CCONJ
fcis-5414	84	69	4)output	4)output	NUM
fcis-5414	84	70	.	.	PUNCT
fcis-5414	85	1	in	in	ADP
fcis-5414	85	2	practice	practice	NOUN
fcis-5414	85	3	,	,	PUNCT
fcis-5414	85	4	two	two	NUM
fcis-5414	85	5	3	3	NUM
fcis-5414	85	6	×	×	NOUN
fcis-5414	85	7	3	3	NUM
fcis-5414	85	8	convolution	convolution	NOUN
fcis-5414	85	9	kernels	kernel	NOUN
fcis-5414	85	10	are	be	AUX
fcis-5414	85	11	used	use	VERB
fcis-5414	85	12	to	to	PART
fcis-5414	85	13	convolve	convolve	VERB
fcis-5414	85	14	the	the	DET
fcis-5414	85	15	feature	feature	NOUN
fcis-5414	85	16	map	map	NOUN
fcis-5414	85	17	,	,	PUNCT
fcis-5414	85	18	and	and	CCONJ
fcis-5414	85	19	the	the	DET
fcis-5414	85	20	confidence	confidence	NOUN
fcis-5414	85	21	score	score	NOUN
fcis-5414	85	22	conf	conf	NOUN
fcis-5414	85	23	for	for	ADP
fcis-5414	85	24	classification	classification	NOUN
fcis-5414	85	25	and	and	CCONJ
fcis-5414	85	26	the	the	DET
fcis-5414	85	27	location	location	NOUN
fcis-5414	85	28	information	information	NOUN
fcis-5414	85	29	loc	loc	PROPN
fcis-5414	85	30	for	for	ADP
fcis-5414	85	31	regression	regression	NOUN
fcis-5414	85	32	are	be	AUX
fcis-5414	85	33	respectively	respectively	ADV
fcis-5414	85	34	output	output	NOUN
fcis-5414	85	35	.	.	PUNCT
fcis-5414	86	1	for	for	ADP
fcis-5414	86	2	the	the	DET
fcis-5414	86	3	pascal	pascal	PROPN
fcis-5414	86	4	voc	voc	NOUN
fcis-5414	86	5	dataset	dataset	PROPN
fcis-5414	86	6	,	,	PUNCT
fcis-5414	86	7	each	each	DET
fcis-5414	86	8	default	default	NOUN
fcis-5414	86	9	box	box	NOUN
fcis-5414	86	10	generates	generate	VERB
fcis-5414	86	11	confidence	confidence	NOUN
fcis-5414	86	12	scores	score	NOUN
fcis-5414	86	13	for	for	ADP
fcis-5414	86	14	21	21	NUM
fcis-5414	86	15	categories	category	NOUN
fcis-5414	86	16	(	(	PUNCT
fcis-5414	86	17	including	include	VERB
fcis-5414	86	18	background	background	NOUN
fcis-5414	86	19	)	)	PUNCT
fcis-5414	86	20	(	(	PUNCT
fcis-5414	86	21	(	(	PUNCT
fcis-5414	86	22	𝑐1	𝑐1	NOUN
fcis-5414	86	23	,	,	PUNCT
fcis-5414	86	24	𝑐2	𝑐2	NOUN
fcis-5414	86	25	,	,	PUNCT
fcis-5414	86	26	.	.	PUNCT
fcis-5414	86	27	.	.	PUNCT
fcis-5414	87	1	.	.	PUNCT
fcis-5414	88	1	,	,	PUNCT
fcis-5414	88	2	𝑐𝑝	𝑐𝑝	NOUN
fcis-5414	88	3	)	)	PUNCT
fcis-5414	88	4	)	)	PUNCT
fcis-5414	88	5	,	,	PUNCT
fcis-5414	88	6	and	and	CCONJ
fcis-5414	88	7	each	each	DET
fcis-5414	88	8	default	default	NOUN
fcis-5414	88	9	box	box	NOUN
fcis-5414	88	10	generates	generate	VERB
fcis-5414	88	11	4	4	NUM
fcis-5414	88	12	position	position	NOUN
fcis-5414	88	13	prediction	prediction	NOUN
fcis-5414	88	14	coordinate	coordinate	NOUN
fcis-5414	88	15	values	value	NOUN
fcis-5414	88	16	(	(	PUNCT
fcis-5414	88	17	(	(	PUNCT
fcis-5414	88	18	𝑐𝑥	𝑐𝑥	ADV
fcis-5414	88	19	,	,	PUNCT
fcis-5414	88	20	𝑐𝑦	𝑐𝑦	NOUN
fcis-5414	88	21	,	,	PUNCT
fcis-5414	88	22	𝑤	𝑤	ADP
fcis-5414	88	23	,	,	PUNCT
fcis-5414	88	24	ℎ	ℎ	PROPN
fcis-5414	88	25	)	)	PUNCT
fcis-5414	88	26	,	,	PUNCT
fcis-5414	88	27	which	which	PRON
fcis-5414	88	28	represent	represent	VERB
fcis-5414	88	29	the	the	DET
fcis-5414	88	30	center	center	NOUN
fcis-5414	88	31	coordinates	coordinate	NOUN
fcis-5414	88	32	,	,	PUNCT
fcis-5414	88	33	width	width	ADJ
fcis-5414	88	34	and	and	CCONJ
fcis-5414	88	35	height	height	NOUN
fcis-5414	88	36	of	of	ADP
fcis-5414	88	37	the	the	DET
fcis-5414	88	38	bounding	bounding	NOUN
fcis-5414	88	39	box	box	NOUN
fcis-5414	88	40	,	,	PUNCT
fcis-5414	88	41	respectively	respectively	ADV
fcis-5414	88	42	.	.	PUNCT
fcis-5414	89	1	in	in	ADP
fcis-5414	89	2	the	the	DET
fcis-5414	89	3	actual	actual	ADJ
fcis-5414	89	4	training	training	NOUN
fcis-5414	89	5	process	process	NOUN
fcis-5414	89	6	,	,	PUNCT
fcis-5414	89	7	the	the	DET
fcis-5414	89	8	algorithm	algorithm	NOUN
fcis-5414	89	9	needs	need	VERB
fcis-5414	89	10	to	to	PART
fcis-5414	89	11	match	match	VERB
fcis-5414	89	12	the	the	DET
fcis-5414	89	13	real	real	ADJ
fcis-5414	89	14	bounding	bounding	NOUN
fcis-5414	89	15	box	box	NOUN
fcis-5414	89	16	with	with	ADP
fcis-5414	89	17	the	the	DET
fcis-5414	89	18	default	default	NOUN
fcis-5414	89	19	box	box	NOUN
fcis-5414	89	20	.	.	PUNCT
fcis-5414	90	1	the	the	DET
fcis-5414	90	2	purpose	purpose	NOUN
fcis-5414	90	3	is	be	AUX
fcis-5414	90	4	to	to	PART
fcis-5414	90	5	find	find	VERB
fcis-5414	90	6	a	a	DET
fcis-5414	90	7	best	good	ADJ
fcis-5414	90	8	matching	matching	NOUN
fcis-5414	90	9	default	default	NOUN
fcis-5414	90	10	box	box	NOUN
fcis-5414	90	11	for	for	ADP
fcis-5414	90	12	each	each	DET
fcis-5414	90	13	real	real	ADJ
fcis-5414	90	14	bounding	bounding	NOUN
fcis-5414	90	15	box	box	NOUN
fcis-5414	90	16	,	,	PUNCT
fcis-5414	90	17	which	which	PRON
fcis-5414	90	18	is	be	AUX
fcis-5414	90	19	called	call	VERB
fcis-5414	90	20	a	a	DET
fcis-5414	90	21	priori	priori	ADJ
fcis-5414	90	22	box	box	NOUN
fcis-5414	90	23	,	,	PUNCT
fcis-5414	90	24	which	which	PRON
fcis-5414	90	25	is	be	AUX
fcis-5414	90	26	the	the	DET
fcis-5414	90	27	default	default	NOUN
fcis-5414	90	28	box	box	NOUN
fcis-5414	90	29	selected	select	VERB
fcis-5414	90	30	in	in	ADP
fcis-5414	90	31	the	the	DET
fcis-5414	90	32	actual	actual	ADJ
fcis-5414	90	33	process	process	NOUN
fcis-5414	90	34	.	.	PUNCT
fcis-5414	91	1	frame	frame	NOUN
fcis-5414	91	2	.	.	PUNCT
fcis-5414	92	1	the	the	DET
fcis-5414	92	2	specific	specific	ADJ
fcis-5414	92	3	operation	operation	NOUN
fcis-5414	92	4	is	be	AUX
fcis-5414	92	5	as	as	SCONJ
fcis-5414	92	6	follows	follow	VERB
fcis-5414	92	7	:	:	PUNCT
fcis-5414	92	8	firstly	firstly	ADV
fcis-5414	92	9	,	,	PUNCT
fcis-5414	92	10	for	for	ADP
fcis-5414	92	11	each	each	DET
fcis-5414	92	12	ground	ground	NOUN
fcis-5414	92	13	-	-	PUNCT
fcis-5414	92	14	truth	truth	NOUN
fcis-5414	92	15	bounding	bounding	NOUN
fcis-5414	92	16	box	box	NOUN
fcis-5414	92	17	,	,	PUNCT
fcis-5414	92	18	find	find	VERB
fcis-5414	92	19	the	the	DET
fcis-5414	92	20	iou	iou	NOUN
fcis-5414	92	21	)	)	PUNCT
fcis-5414	92	22	value	value	NOUN
fcis-5414	92	23	of	of	ADP
fcis-5414	92	24	the	the	DET
fcis-5414	92	25	prior	prior	ADJ
fcis-5414	92	26	box	box	NOUN
fcis-5414	92	27	and	and	CCONJ
fcis-5414	92	28	match	match	VERB
fcis-5414	92	29	it	it	PRON
fcis-5414	92	30	to	to	PART
fcis-5414	92	31	ensure	ensure	VERB
fcis-5414	92	32	that	that	SCONJ
fcis-5414	92	33	each	each	DET
fcis-5414	92	34	real	real	ADJ
fcis-5414	92	35	bounding	bounding	NOUN
fcis-5414	92	36	box	box	NOUN
fcis-5414	92	37	must	must	AUX
fcis-5414	92	38	match	match	VERB
fcis-5414	92	39	a	a	DET
fcis-5414	92	40	certain	certain	ADJ
fcis-5414	92	41	prior	prior	ADJ
fcis-5414	92	42	box	box	NOUN
fcis-5414	92	43	and	and	CCONJ
fcis-5414	92	44	be	be	AUX
fcis-5414	92	45	recorded	record	VERB
fcis-5414	92	46	as	as	ADP
fcis-5414	92	47	a	a	DET
fcis-5414	92	48	positive	positive	ADJ
fcis-5414	92	49	sample	sample	NOUN
fcis-5414	92	50	.	.	PUNCT
fcis-5414	93	1	as	as	SCONJ
fcis-5414	93	2	shown	show	VERB
fcis-5414	93	3	in	in	ADP
fcis-5414	93	4	figure	figure	NOUN
fcis-5414	93	5	2.4	2.4	NUM
fcis-5414	93	6	,	,	PUNCT
fcis-5414	93	7	in	in	ADP
fcis-5414	93	8	target	target	NOUN
fcis-5414	93	9	detection	detection	NOUN
fcis-5414	93	10	,	,	PUNCT
fcis-5414	93	11	iou	iou	PROPN
fcis-5414	93	12	represents	represent	VERB
fcis-5414	93	13	the	the	DET
fcis-5414	93	14	ratio	ratio	NOUN
fcis-5414	93	15	of	of	ADP
fcis-5414	93	16	the	the	DET
fcis-5414	93	17	intersection	intersection	NOUN
fcis-5414	93	18	and	and	CCONJ
fcis-5414	93	19	union	union	NOUN
fcis-5414	93	20	of	of	ADP
fcis-5414	93	21	the	the	DET
fcis-5414	93	22	predicted	predict	VERB
fcis-5414	93	23	border	border	NOUN
fcis-5414	93	24	and	and	CCONJ
fcis-5414	93	25	the	the	DET
fcis-5414	93	26	real	real	ADJ
fcis-5414	93	27	border	border	NOUN
fcis-5414	93	28	.	.	PUNCT
fcis-5414	94	1	the	the	DET
fcis-5414	94	2	calculation	calculation	NOUN
fcis-5414	94	3	formula	formula	NOUN
fcis-5414	94	4	of	of	ADP
fcis-5414	94	5	iou	iou	NOUN
fcis-5414	94	6	is	be	AUX
fcis-5414	94	7	as	as	SCONJ
fcis-5414	94	8	follows	follow	VERB
fcis-5414	94	9	:	:	PUNCT
fcis-5414	94	10	𝐼𝑜𝑈(𝐺	𝐼𝑜𝑈(𝐺	ADJ
fcis-5414	94	11	,	,	PUNCT
fcis-5414	94	12	𝑝	𝑝	NOUN
fcis-5414	94	13	)	)	PUNCT
fcis-5414	94	14	=	=	SYM
fcis-5414	95	1	|	|	ADV
fcis-5414	95	2	𝐺	𝐺	NOUN
fcis-5414	95	3	∩	∩	ADJ
fcis-5414	95	4	𝑃	𝑃	NOUN
fcis-5414	95	5	𝐺	𝐺	NOUN
fcis-5414	95	6	∪	∪	ADP
fcis-5414	95	7	𝑃	𝑃	NOUN
fcis-5414	95	8	|	|	NOUN
fcis-5414	95	9	on	on	ADP
fcis-5414	95	10	the	the	DET
fcis-5414	95	11	contrary	contrary	NOUN
fcis-5414	95	12	,	,	PUNCT
fcis-5414	95	13	if	if	SCONJ
fcis-5414	95	14	an	an	DET
fcis-5414	95	15	prior	prior	ADJ
fcis-5414	95	16	box	box	NOUN
fcis-5414	95	17	does	do	AUX
fcis-5414	95	18	not	not	PART
fcis-5414	95	19	find	find	VERB
fcis-5414	95	20	any	any	DET
fcis-5414	95	21	groundtruth	groundtruth	NOUN
fcis-5414	95	22	bounding	bounding	NOUN
fcis-5414	95	23	box	box	NOUN
fcis-5414	95	24	to	to	PART
fcis-5414	95	25	match	match	VERB
fcis-5414	95	26	it	it	PRON
fcis-5414	95	27	,	,	PUNCT
fcis-5414	95	28	then	then	ADV
fcis-5414	95	29	the	the	DET
fcis-5414	95	30	prior	prior	ADJ
fcis-5414	95	31	box	box	NOUN
fcis-5414	95	32	can	can	AUX
fcis-5414	95	33	only	only	ADV
fcis-5414	95	34	match	match	VERB
fcis-5414	95	35	the	the	DET
fcis-5414	95	36	background	background	NOUN
fcis-5414	95	37	and	and	CCONJ
fcis-5414	95	38	be	be	AUX
fcis-5414	95	39	recorded	record	VERB
fcis-5414	95	40	as	as	ADP
fcis-5414	95	41	a	a	DET
fcis-5414	95	42	negative	negative	ADJ
fcis-5414	95	43	sample	sample	NOUN
fcis-5414	95	44	.	.	PUNCT
fcis-5414	96	1	secondly	secondly	ADV
fcis-5414	96	2	,	,	PUNCT
fcis-5414	96	3	for	for	ADP
fcis-5414	96	4	the	the	DET
fcis-5414	96	5	remaining	remain	VERB
fcis-5414	96	6	unmatched	unmatched	ADJ
fcis-5414	96	7	a	a	DET
fcis-5414	96	8	priori	priori	ADJ
fcis-5414	96	9	boxes	box	NOUN
fcis-5414	96	10	,	,	PUNCT
fcis-5414	96	11	if	if	SCONJ
fcis-5414	96	12	the	the	DET
fcis-5414	96	13	iou	iou	NOUN
fcis-5414	96	14	value	value	NOUN
fcis-5414	96	15	between	between	ADP
fcis-5414	96	16	them	they	PRON
fcis-5414	96	17	and	and	CCONJ
fcis-5414	96	18	a	a	DET
fcis-5414	96	19	real	real	ADJ
fcis-5414	96	20	bounding	bounding	NOUN
fcis-5414	96	21	box	box	NOUN
fcis-5414	96	22	is	be	AUX
fcis-5414	96	23	greater	great	ADJ
fcis-5414	96	24	than	than	ADP
fcis-5414	96	25	the	the	DET
fcis-5414	96	26	threshold	threshold	NOUN
fcis-5414	96	27	0.5	0.5	NUM
fcis-5414	96	28	,	,	PUNCT
fcis-5414	96	29	then	then	ADV
fcis-5414	96	30	the	the	DET
fcis-5414	96	31	a	a	DET
fcis-5414	96	32	priori	priori	PROPN
fcis-5414	96	33	box	box	PROPN
fcis-5414	96	34	is	be	AUX
fcis-5414	96	35	also	also	ADV
fcis-5414	96	36	matched	match	VERB
fcis-5414	96	37	with	with	ADP
fcis-5414	96	38	the	the	DET
fcis-5414	96	39	real	real	ADJ
fcis-5414	96	40	bounding	bounding	NOUN
fcis-5414	96	41	box	box	NOUN
fcis-5414	96	42	.	.	PUNCT
fcis-5414	97	1	although	although	SCONJ
fcis-5414	97	2	one	one	NUM
fcis-5414	97	3	ground	ground	NOUN
fcis-5414	97	4	-	-	PUNCT
fcis-5414	97	5	truth	truth	NOUN
fcis-5414	97	6	bounding	bounding	NOUN
fcis-5414	97	7	box	box	NOUN
fcis-5414	97	8	can	can	AUX
fcis-5414	97	9	be	be	AUX
fcis-5414	97	10	matched	match	VERB
fcis-5414	97	11	with	with	ADP
fcis-5414	97	12	multiple	multiple	ADJ
fcis-5414	97	13	prior	prior	ADJ
fcis-5414	97	14	boxes	box	NOUN
fcis-5414	97	15	,	,	PUNCT
fcis-5414	97	16	the	the	DET
fcis-5414	97	17	number	number	NOUN
fcis-5414	97	18	of	of	ADP
fcis-5414	97	19	ground	ground	NOUN
fcis-5414	97	20	-	-	PUNCT
fcis-5414	97	21	truth	truth	NOUN
fcis-5414	97	22	bounding	bounding	NOUN
fcis-5414	97	23	boxes	box	NOUN
fcis-5414	97	24	is	be	AUX
fcis-5414	97	25	too	too	ADV
fcis-5414	97	26	small	small	ADJ
fcis-5414	97	27	relative	relative	NOUN
fcis-5414	97	28	to	to	ADP
fcis-5414	97	29	the	the	DET
fcis-5414	97	30	prior	prior	ADJ
fcis-5414	97	31	box	box	NOUN
fcis-5414	97	32	,	,	PUNCT
fcis-5414	97	33	which	which	PRON
fcis-5414	97	34	leads	lead	VERB
fcis-5414	97	35	to	to	ADP
fcis-5414	97	36	a	a	DET
fcis-5414	97	37	lot	lot	NOUN
fcis-5414	97	38	more	more	ADV
fcis-5414	97	39	negative	negative	ADJ
fcis-5414	97	40	samples	sample	NOUN
fcis-5414	97	41	than	than	ADP
fcis-5414	97	42	positive	positive	ADJ
fcis-5414	97	43	samples	sample	NOUN
fcis-5414	97	44	.	.	PUNCT
fcis-5414	98	1	in	in	ADP
fcis-5414	98	2	order	order	NOUN
fcis-5414	98	3	to	to	PART
fcis-5414	98	4	ensure	ensure	VERB
fcis-5414	98	5	the	the	DET
fcis-5414	98	6	balance	balance	NOUN
fcis-5414	98	7	of	of	ADP
fcis-5414	98	8	the	the	DET
fcis-5414	98	9	number	number	NOUN
fcis-5414	98	10	of	of	ADP
fcis-5414	98	11	positive	positive	ADJ
fcis-5414	98	12	and	and	CCONJ
fcis-5414	98	13	negative	negative	ADJ
fcis-5414	98	14	samples	sample	NOUN
fcis-5414	98	15	in	in	ADP
fcis-5414	98	16	the	the	DET
fcis-5414	98	17	training	training	NOUN
fcis-5414	98	18	process	process	NOUN
fcis-5414	98	19	as	as	ADV
fcis-5414	98	20	much	much	ADV
fcis-5414	98	21	as	as	ADP
fcis-5414	98	22	possible	possible	ADJ
fcis-5414	98	23	,	,	PUNCT
fcis-5414	98	24	ssd	ssd	PROPN
fcis-5414	98	25	adopts	adopt	VERB
fcis-5414	98	26	the	the	DET
fcis-5414	98	27	strategy	strategy	NOUN
fcis-5414	98	28	of	of	ADP
fcis-5414	98	29	mining	mine	VERB
fcis-5414	98	30	difficult	difficult	ADJ
fcis-5414	98	31	examples	example	NOUN
fcis-5414	98	32	to	to	PART
fcis-5414	98	33	arrange	arrange	VERB
fcis-5414	98	34	the	the	DET
fcis-5414	98	35	negative	negative	ADJ
fcis-5414	98	36	samples	sample	NOUN
fcis-5414	98	37	in	in	ADP
fcis-5414	98	38	descending	descend	VERB
fcis-5414	98	39	order	order	NOUN
fcis-5414	98	40	according	accord	VERB
fcis-5414	98	41	to	to	ADP
fcis-5414	98	42	the	the	DET
fcis-5414	98	43	confidence	confidence	NOUN
fcis-5414	98	44	error	error	NOUN
fcis-5414	98	45	and	and	CCONJ
fcis-5414	98	46	sample	sample	VERB
fcis-5414	98	47	them	they	PRON
fcis-5414	98	48	to	to	PART
fcis-5414	98	49	ensure	ensure	VERB
fcis-5414	98	50	that	that	SCONJ
fcis-5414	98	51	the	the	DET
fcis-5414	98	52	ratio	ratio	NOUN
fcis-5414	98	53	of	of	ADP
fcis-5414	98	54	positive	positive	ADJ
fcis-5414	98	55	and	and	CCONJ
fcis-5414	98	56	negative	negative	ADJ
fcis-5414	98	57	samples	sample	NOUN
fcis-5414	98	58	in	in	ADP
fcis-5414	98	59	the	the	DET
fcis-5414	98	60	training	training	NOUN
fcis-5414	98	61	process	process	NOUN
fcis-5414	98	62	is	be	AUX
fcis-5414	98	63	close	close	ADJ
fcis-5414	98	64	to	to	ADP
fcis-5414	98	65	1:3	1:3	NUM
fcis-5414	98	66	.	.	PUNCT
fcis-5414	99	1	among	among	ADP
fcis-5414	99	2	them	they	PRON
fcis-5414	99	3	,	,	PUNCT
fcis-5414	99	4	the	the	PRON
fcis-5414	99	5	smaller	small	ADJ
fcis-5414	99	6	the	the	DET
fcis-5414	99	7	confidence	confidence	NOUN
fcis-5414	99	8	of	of	ADP
fcis-5414	99	9	the	the	DET
fcis-5414	99	10	predicted	predict	VERB
fcis-5414	99	11	background	background	NOUN
fcis-5414	99	12	is	be	AUX
fcis-5414	99	13	,	,	PUNCT
fcis-5414	99	14	the	the	PRON
fcis-5414	99	15	larger	large	ADJ
fcis-5414	99	16	the	the	DET
fcis-5414	99	17	error	error	NOUN
fcis-5414	99	18	is	be	AUX
fcis-5414	99	19	,	,	PUNCT
fcis-5414	99	20	and	and	CCONJ
fcis-5414	99	21	the	the	DET
fcis-5414	99	22	top	top	NOUN
fcis-5414	99	23	-	-	PUNCT
fcis-5414	99	24	k	k	NOUN
fcis-5414	99	25	with	with	ADP
fcis-5414	99	26	the	the	DET
fcis-5414	99	27	larger	large	ADJ
fcis-5414	99	28	error	error	NOUN
fcis-5414	99	29	is	be	AUX
fcis-5414	99	30	finally	finally	ADV
fcis-5414	99	31	selected	select	VERB
fcis-5414	99	32	.	.	PUNCT
fcis-5414	100	1	feature	feature	NOUN
fcis-5414	100	2	layers	layer	NOUN
fcis-5414	100	3	of	of	ADP
fcis-5414	100	4	different	different	ADJ
fcis-5414	100	5	scales	scale	NOUN
fcis-5414	100	6	have	have	VERB
fcis-5414	100	7	different	different	ADJ
fcis-5414	100	8	receptive	receptive	ADJ
fcis-5414	100	9	fields	field	NOUN
fcis-5414	100	10	.	.	PUNCT
fcis-5414	101	1	therefore	therefore	ADV
fcis-5414	101	2	,	,	PUNCT
fcis-5414	101	3	the	the	DET
fcis-5414	101	4	ssd	ssd	NOUN
fcis-5414	101	5	algorithm	algorithm	NOUN
fcis-5414	101	6	matches	match	VERB
fcis-5414	101	7	the	the	DET
fcis-5414	101	8	size	size	NOUN
fcis-5414	101	9	of	of	ADP
fcis-5414	101	10	the	the	DET
fcis-5414	101	11	receptive	receptive	ADJ
fcis-5414	101	12	field	field	NOUN
fcis-5414	101	13	by	by	ADP
fcis-5414	101	14	setting	set	VERB
fcis-5414	101	15	default	default	NOUN
fcis-5414	101	16	boxes	box	NOUN
fcis-5414	101	17	of	of	ADP
fcis-5414	101	18	different	different	ADJ
fcis-5414	101	19	sizes	size	NOUN
fcis-5414	101	20	on	on	ADP
fcis-5414	101	21	six	six	NUM
fcis-5414	101	22	feature	feature	NOUN
fcis-5414	101	23	layers	layer	NOUN
fcis-5414	101	24	of	of	ADP
fcis-5414	101	25	different	different	ADJ
fcis-5414	101	26	scales	scale	NOUN
fcis-5414	101	27	.	.	PUNCT
fcis-5414	102	1	the	the	DET
fcis-5414	102	2	setting	setting	NOUN
fcis-5414	102	3	of	of	ADP
fcis-5414	102	4	the	the	DET
fcis-5414	102	5	default	default	NOUN
fcis-5414	102	6	frame	frame	NOUN
fcis-5414	102	7	size	size	NOUN
fcis-5414	102	8	of	of	ADP
fcis-5414	102	9	each	each	DET
fcis-5414	102	10	layer	layer	NOUN
fcis-5414	102	11	mainly	mainly	ADV
fcis-5414	102	12	includes	include	VERB
fcis-5414	102	13	two	two	NUM
fcis-5414	102	14	aspects	aspect	NOUN
fcis-5414	102	15	:	:	PUNCT
fcis-5414	102	16	scale	scale	NOUN
fcis-5414	102	17	and	and	CCONJ
fcis-5414	102	18	aspect	aspect	NOUN
fcis-5414	102	19	ratio	ratio	NOUN
fcis-5414	102	20	.	.	PUNCT
fcis-5414	103	1	the	the	DET
fcis-5414	103	2	default	default	NOUN
fcis-5414	103	3	boxes	box	NOUN
fcis-5414	103	4	have	have	VERB
fcis-5414	103	5	different	different	ADJ
fcis-5414	103	6	scales	scale	NOUN
fcis-5414	103	7	in	in	ADP
fcis-5414	103	8	different	different	ADJ
fcis-5414	103	9	feature	feature	NOUN
fcis-5414	103	10	maps	map	NOUN
fcis-5414	103	11	,	,	PUNCT
fcis-5414	103	12	and	and	CCONJ
fcis-5414	103	13	have	have	VERB
fcis-5414	103	14	different	different	ADJ
fcis-5414	103	15	aspect	aspect	NOUN
fcis-5414	103	16	ratios	ratio	NOUN
fcis-5414	103	17	in	in	ADP
fcis-5414	103	18	the	the	DET
fcis-5414	103	19	same	same	ADJ
fcis-5414	103	20	feature	feature	NOUN
fcis-5414	103	21	map	map	NOUN
fcis-5414	103	22	,	,	PUNCT
fcis-5414	103	23	so	so	SCONJ
fcis-5414	103	24	it	it	PRON
fcis-5414	103	25	can	can	AUX
fcis-5414	103	26	detect	detect	VERB
fcis-5414	103	27	most	most	ADJ
fcis-5414	103	28	objects	object	NOUN
fcis-5414	103	29	of	of	ADP
fcis-5414	103	30	different	different	ADJ
fcis-5414	103	31	scales	scale	NOUN
fcis-5414	103	32	.	.	PUNCT
fcis-5414	104	1	the	the	DET
fcis-5414	104	2	scale	scale	NOUN
fcis-5414	104	3	formula	formula	NOUN
fcis-5414	104	4	of	of	ADP
fcis-5414	104	5	the	the	DET
fcis-5414	104	6	default	default	NOUN
fcis-5414	104	7	box	box	NOUN
fcis-5414	104	8	for	for	ADP
fcis-5414	104	9	each	each	DET
fcis-5414	104	10	feature	feature	NOUN
fcis-5414	104	11	layer	layer	NOUN
fcis-5414	104	12	is	be	AUX
fcis-5414	104	13	:	:	PUNCT
fcis-5414	105	1	𝑆𝑘	𝑆𝑘	PROPN
fcis-5414	105	2	=	=	PUNCT
fcis-5414	105	3	𝑆𝑚𝑖𝑛	𝑆𝑚𝑖𝑛	PROPN
fcis-5414	105	4	+	+	CCONJ
fcis-5414	105	5	𝑆𝑚𝑎𝑥	𝑆𝑚𝑎𝑥	PROPN
fcis-5414	105	6	−	−	PROPN
fcis-5414	106	1	𝑆𝑚𝑖𝑛	𝑆𝑚𝑖𝑛	PROPN
fcis-5414	106	2	𝑚	𝑚	ADP
fcis-5414	106	3	−	−	PROPN
fcis-5414	106	4	1	1	NUM
fcis-5414	106	5	(	(	PUNCT
fcis-5414	106	6	𝑘	𝑘	PRON
fcis-5414	106	7	−	−	PROPN
fcis-5414	106	8	1	1	NUM
fcis-5414	106	9	)	)	PUNCT
fcis-5414	106	10	,	,	PUNCT
fcis-5414	106	11	𝑘	𝑘	PROPN
fcis-5414	106	12	∈	∈	PROPN
fcis-5414	107	1	[	[	X
fcis-5414	107	2	1	1	NUM
fcis-5414	107	3	,	,	PUNCT
fcis-5414	107	4	𝑚	𝑚	X
fcis-5414	107	5	]	]	X
fcis-5414	107	6	among	among	ADP
fcis-5414	107	7	them	they	PRON
fcis-5414	107	8	,	,	PUNCT
fcis-5414	107	9	𝑚	𝑚	PROPN
fcis-5414	107	10	represents	represent	VERB
fcis-5414	107	11	the	the	DET
fcis-5414	107	12	number	number	NOUN
fcis-5414	107	13	of	of	ADP
fcis-5414	107	14	feature	feature	NOUN
fcis-5414	107	15	maps	map	NOUN
fcis-5414	107	16	,	,	PUNCT
fcis-5414	107	17	𝑆𝑘represents	𝑆𝑘represent	NOUN
fcis-5414	107	18	𝑘the	𝑘the	VERB
fcis-5414	107	19	ratio	ratio	NOUN
fcis-5414	107	20	of	of	ADP
fcis-5414	107	21	the	the	DET
fcis-5414	107	22	size	size	NOUN
fcis-5414	107	23	of	of	ADP
fcis-5414	107	24	the	the	DET
fcis-5414	107	25	prior	prior	ADJ
fcis-5414	107	26	frame	frame	NOUN
fcis-5414	107	27	of	of	ADP
fcis-5414	107	28	the	the	DET
fcis-5414	107	29	𝑆𝑚𝑖𝑛	𝑆𝑚𝑖𝑛	PROPN
fcis-5414	107	30	=	=	SYM
fcis-5414	107	31	0.2feature	0.2feature	NOUN
fcis-5414	107	32	map	map	NOUN
fcis-5414	107	33	of	of	ADP
fcis-5414	107	34	the	the	DET
fcis-5414	107	35	first	first	ADJ
fcis-5414	107	36	layer	layer	NOUN
fcis-5414	107	37	to	to	ADP
fcis-5414	107	38	the	the	DET
fcis-5414	107	39	original	original	ADJ
fcis-5414	107	40	image	image	NOUN
fcis-5414	107	41	,	,	PUNCT
fcis-5414	107	42	and	and	CCONJ
fcis-5414	107	43	𝑆𝑚𝑎𝑥	𝑆𝑚𝑎𝑥	PROPN
fcis-5414	107	44	=	=	NOUN
fcis-5414	107	45	0.9	0.9	NUM
fcis-5414	107	46	respectively	respectively	ADV
fcis-5414	107	47	represents	represent	VERB
fcis-5414	107	48	the	the	DET
fcis-5414	107	49	ratio	ratio	NOUN
fcis-5414	107	50	of	of	ADP
fcis-5414	107	51	the	the	DET
fcis-5414	107	52	minimum	minimum	ADJ
fcis-5414	107	53	and	and	CCONJ
fcis-5414	107	54	maximum	maximum	ADJ
fcis-5414	107	55	scales	scale	NOUN
fcis-5414	107	56	of	of	ADP
fcis-5414	107	57	the	the	DET
fcis-5414	107	58	prior	prior	ADJ
fcis-5414	107	59	frame	frame	NOUN
fcis-5414	107	60	to	to	ADP
fcis-5414	107	61	the	the	DET
fcis-5414	107	62	original	original	ADJ
fcis-5414	107	63	image	image	NOUN
fcis-5414	107	64	is	be	AUX
fcis-5414	107	65	0.2	0.2	NUM
fcis-5414	107	66	and	and	CCONJ
fcis-5414	107	67	0.9	0.9	NUM
fcis-5414	107	68	,	,	PUNCT
fcis-5414	107	69	and	and	CCONJ
fcis-5414	107	70	the	the	DET
fcis-5414	107	71	length	length	NOUN
fcis-5414	107	72	and	and	CCONJ
fcis-5414	107	73	width	width	NOUN
fcis-5414	107	74	of	of	ADP
fcis-5414	107	75	the	the	DET
fcis-5414	107	76	algorithm	algorithm	NOUN
fcis-5414	107	77	the	the	DET
fcis-5414	107	78	value	value	NOUN
fcis-5414	107	79	of	of	ADP
fcis-5414	107	80	the	the	DET
fcis-5414	107	81	ratio	ratio	NOUN
fcis-5414	107	82	is	be	AUX
fcis-5414	107	83	:	:	PUNCT
fcis-5414	107	84	,	,	PUNCT
fcis-5414	107	85	so	so	ADV
fcis-5414	107	86	the	the	DET
fcis-5414	107	87	formulas	formula	NOUN
fcis-5414	107	88	for	for	ADP
fcis-5414	107	89	calculating	calculate	VERB
fcis-5414	107	90	the	the	DET
fcis-5414	107	91	sum	sum	NOUN
fcis-5414	107	92	of	of	ADP
fcis-5414	107	93	the	the	DET
fcis-5414	107	94	width	width	NOUN
fcis-5414	107	95	𝑎𝑟	𝑎𝑟	NOUN
fcis-5414	107	96	=	=	PUNCT
fcis-5414	107	97	{	{	PUNCT
fcis-5414	107	98	1	1	NUM
fcis-5414	107	99	,	,	PUNCT
fcis-5414	107	100	2	2	NUM
fcis-5414	107	101	,	,	PUNCT
fcis-5414	107	102	3	3	NUM
fcis-5414	107	103	,	,	PUNCT
fcis-5414	107	104	1	1	NUM
fcis-5414	107	105	2	2	NUM
fcis-5414	107	106	,	,	PUNCT
fcis-5414	107	107	1	1	NUM
fcis-5414	107	108	3	3	NUM
fcis-5414	107	109	}	}	PUNCT
fcis-5414	107	110	and	and	CCONJ
fcis-5414	107	111	height	height	NOUN
fcis-5414	107	112	ℎ𝑘	ℎ𝑘	PROPN
fcis-5414	107	113	𝑎of	𝑎of	NOUN
fcis-5414	107	114	each	each	DET
fcis-5414	107	115	default	default	NOUN
fcis-5414	107	116	box	box	NOUN
fcis-5414	107	117	𝑤𝑘	𝑤𝑘	ADP
fcis-5414	107	118	𝑎are	𝑎are	PROPN
fcis-5414	107	119	:	:	PUNCT
fcis-5414	107	120	𝑤𝑘	𝑤𝑘	PRON
fcis-5414	108	1	𝑎	𝑎	X
fcis-5414	108	2	=	=	X
fcis-5414	108	3	𝑆𝑘√𝑎𝑟	𝑆𝑘√𝑎𝑟	ADP
fcis-5414	108	4	ℎ𝑘	ℎ𝑘	PROPN
fcis-5414	108	5	𝑎	𝑎	NOUN
fcis-5414	108	6	=	=	PUNCT
fcis-5414	108	7	𝑆𝑘	𝑆𝑘	PROPN
fcis-5414	108	8	√𝑎𝑟	√𝑎𝑟	NOUN
fcis-5414	108	9	in	in	ADP
fcis-5414	108	10	addition	addition	NOUN
fcis-5414	108	11	,	,	PUNCT
fcis-5414	108	12	when	when	SCONJ
fcis-5414	108	13	the	the	DET
fcis-5414	108	14	aspect	aspect	NOUN
fcis-5414	108	15	ratio	ratio	NOUN
fcis-5414	108	16	is	be	AUX
fcis-5414	108	17	1	1	NUM
fcis-5414	108	18	,	,	PUNCT
fcis-5414	108	19	a	a	DET
fcis-5414	108	20	scale	scale	NOUN
fcis-5414	108	21	is	be	AUX
fcis-5414	108	22	added	add	VERB
fcis-5414	108	23	as	as	ADP
fcis-5414	108	24	𝑠𝑘	𝑠𝑘	NOUN
fcis-5414	108	25	′	′	NUM
fcis-5414	108	26	=	=	PUNCT
fcis-5414	109	1	√𝑆𝑘𝑆𝑘+1the	√𝑆𝑘𝑆𝑘+1the	DET
fcis-5414	109	2	default	default	NOUN
fcis-5414	109	3	box	box	NOUN
fcis-5414	109	4	.	.	PUNCT
fcis-5414	110	1	the	the	DET
fcis-5414	110	2	center	center	NOUN
fcis-5414	110	3	of	of	ADP
fcis-5414	110	4	each	each	DET
fcis-5414	110	5	default	default	NOUN
fcis-5414	110	6	box	box	NOUN
fcis-5414	110	7	112	112	NUM
fcis-5414	110	8	is	be	AUX
fcis-5414	110	9	distributed	distribute	VERB
fcis-5414	110	10	in	in	ADP
fcis-5414	110	11	the	the	DET
fcis-5414	110	12	center	center	NOUN
fcis-5414	110	13	of	of	ADP
fcis-5414	110	14	the	the	DET
fcis-5414	110	15	position	position	NOUN
fcis-5414	110	16	cell	cell	NOUN
fcis-5414	110	17	,	,	PUNCT
fcis-5414	110	18	namely	namely	ADV
fcis-5414	110	19	:	:	PUNCT
fcis-5414	110	20	(	(	PUNCT
fcis-5414	110	21	𝑖	𝑖	SYM
fcis-5414	110	22	+	+	NUM
fcis-5414	110	23	0.5	0.5	NUM
fcis-5414	110	24	|𝑓𝑘|	|𝑓𝑘|	NOUN
fcis-5414	110	25	,	,	PUNCT
fcis-5414	110	26	𝑗	𝑗	PROPN
fcis-5414	111	1	+	+	NUM
fcis-5414	111	2	0.5	0.5	NUM
fcis-5414	111	3	|𝑓𝑘|	|𝑓𝑘|	PROPN
fcis-5414	111	4	)	)	PUNCT
fcis-5414	111	5	,	,	PUNCT
fcis-5414	111	6	𝑖	𝑖	X
fcis-5414	111	7	,	,	PUNCT
fcis-5414	111	8	𝑗	𝑗	PROPN
fcis-5414	111	9	∈	∈	X
fcis-5414	112	1	[	[	X
fcis-5414	112	2	0	0	NUM
fcis-5414	112	3	,	,	PUNCT
fcis-5414	112	4	|𝑓𝑘|	|𝑓𝑘|	PROPN
fcis-5414	112	5	)	)	PUNCT
fcis-5414	112	6	,	,	PUNCT
fcis-5414	112	7	where	where	SCONJ
fcis-5414	112	8	|𝑓𝑘|represents	|𝑓𝑘|represent	NOUN
fcis-5414	112	9	𝑘the	𝑘the	VERB
fcis-5414	112	10	feature	feature	NOUN
fcis-5414	112	11	map	map	NOUN
fcis-5414	112	12	size	size	NOUN
fcis-5414	112	13	of	of	ADP
fcis-5414	112	14	the	the	DET
fcis-5414	112	15	th	th	X
fcis-5414	112	16	layer	layer	NOUN
fcis-5414	112	17	.	.	PUNCT
fcis-5414	113	1	in	in	ADP
fcis-5414	113	2	the	the	DET
fcis-5414	113	3	detection	detection	NOUN
fcis-5414	113	4	stage	stage	NOUN
fcis-5414	113	5	of	of	ADP
fcis-5414	113	6	ssd	ssd	NOUN
fcis-5414	113	7	,	,	PUNCT
fcis-5414	113	8	because	because	SCONJ
fcis-5414	113	9	multiple	multiple	ADJ
fcis-5414	113	10	feature	feature	NOUN
fcis-5414	113	11	maps	map	NOUN
fcis-5414	113	12	will	will	AUX
fcis-5414	113	13	generate	generate	VERB
fcis-5414	113	14	a	a	DET
fcis-5414	113	15	large	large	ADJ
fcis-5414	113	16	number	number	NOUN
fcis-5414	113	17	of	of	ADP
fcis-5414	113	18	target	target	NOUN
fcis-5414	113	19	positioning	positioning	NOUN
fcis-5414	113	20	frames	frame	NOUN
fcis-5414	113	21	according	accord	VERB
fcis-5414	113	22	to	to	ADP
fcis-5414	113	23	the	the	DET
fcis-5414	113	24	settings	setting	NOUN
fcis-5414	113	25	,	,	PUNCT
fcis-5414	113	26	but	but	CCONJ
fcis-5414	113	27	these	these	DET
fcis-5414	113	28	target	target	NOUN
fcis-5414	113	29	positioning	positioning	NOUN
fcis-5414	113	30	frames	frame	NOUN
fcis-5414	113	31	contain	contain	VERB
fcis-5414	113	32	many	many	ADJ
fcis-5414	113	33	wrong	wrong	ADJ
fcis-5414	113	34	,	,	PUNCT
fcis-5414	113	35	overlapping	overlap	VERB
fcis-5414	113	36	and	and	CCONJ
fcis-5414	113	37	inaccurate	inaccurate	ADJ
fcis-5414	113	38	results	result	NOUN
fcis-5414	113	39	,	,	PUNCT
fcis-5414	113	40	so	so	CCONJ
fcis-5414	113	41	the	the	DET
fcis-5414	113	42	ssd	ssd	NOUN
fcis-5414	113	43	algorithm	algorithm	NOUN
fcis-5414	113	44	needs	need	VERB
fcis-5414	113	45	to	to	PART
fcis-5414	113	46	use	use	VERB
fcis-5414	113	47	nonthe	nonthe	DET
fcis-5414	113	48	maximum	maximum	ADJ
fcis-5414	113	49	value	value	NOUN
fcis-5414	113	50	suppression	suppression	NOUN
fcis-5414	113	51	algorithm	algorithm	NOUN
fcis-5414	113	52	processes	process	VERB
fcis-5414	113	53	the	the	DET
fcis-5414	113	54	prediction	prediction	NOUN
fcis-5414	113	55	results	result	NOUN
fcis-5414	113	56	to	to	PART
fcis-5414	113	57	eliminate	eliminate	VERB
fcis-5414	113	58	the	the	DET
fcis-5414	113	59	positioning	positioning	NOUN
fcis-5414	113	60	boxes	box	NOUN
fcis-5414	113	61	and	and	CCONJ
fcis-5414	113	62	repeated	repeat	VERB
fcis-5414	113	63	boxes	box	NOUN
fcis-5414	113	64	that	that	PRON
fcis-5414	113	65	do	do	AUX
fcis-5414	113	66	not	not	PART
fcis-5414	113	67	contain	contain	VERB
fcis-5414	113	68	the	the	DET
fcis-5414	113	69	target	target	NOUN
fcis-5414	113	70	,	,	PUNCT
fcis-5414	113	71	and	and	CCONJ
fcis-5414	113	72	obtain	obtain	VERB
fcis-5414	113	73	the	the	DET
fcis-5414	113	74	final	final	ADJ
fcis-5414	113	75	detection	detection	NOUN
fcis-5414	113	76	results	result	NOUN
fcis-5414	113	77	.	.	PUNCT
fcis-5414	114	1	the	the	DET
fcis-5414	114	2	loss	loss	NOUN
fcis-5414	114	3	function	function	NOUN
fcis-5414	114	4	of	of	ADP
fcis-5414	114	5	the	the	DET
fcis-5414	114	6	traditional	traditional	ADJ
fcis-5414	114	7	ssd	ssd	NOUN
fcis-5414	114	8	algorithm	algorithm	NOUN
fcis-5414	114	9	consists	consist	VERB
fcis-5414	114	10	of	of	ADP
fcis-5414	114	11	the	the	DET
fcis-5414	114	12	weighted	weighted	ADJ
fcis-5414	114	13	sum	sum	NOUN
fcis-5414	114	14	of	of	ADP
fcis-5414	114	15	the	the	DET
fcis-5414	114	16	bounding	bounding	NOUN
fcis-5414	114	17	box	box	NOUN
fcis-5414	114	18	localization	localization	NOUN
fcis-5414	114	19	loss	loss	NOUN
fcis-5414	114	20	function	function	NOUN
fcis-5414	114	21	𝐿𝑙𝑜𝑐	𝐿𝑙𝑜𝑐	PROPN
fcis-5414	114	22	and	and	CCONJ
fcis-5414	114	23	the	the	DET
fcis-5414	114	24	classification	classification	NOUN
fcis-5414	114	25	confidence	confidence	NOUN
fcis-5414	114	26	loss	loss	NOUN
fcis-5414	114	27	function	function	NOUN
fcis-5414	114	28	𝐿𝑐𝑜𝑛𝑓	𝐿𝑐𝑜𝑛𝑓	PROPN
fcis-5414	114	29	:	:	PUNCT
fcis-5414	114	30	𝐿(𝑥	𝐿(𝑥	PROPN
fcis-5414	114	31	,	,	PUNCT
fcis-5414	114	32	𝑐	𝑐	NOUN
fcis-5414	114	33	,	,	PUNCT
fcis-5414	114	34	𝑙	𝑙	NOUN
fcis-5414	114	35	,	,	PUNCT
fcis-5414	114	36	𝑔	𝑔	NOUN
fcis-5414	114	37	)	)	PUNCT
fcis-5414	114	38	=	=	PUNCT
fcis-5414	115	1	|	|	ADV
fcis-5414	115	2	1	1	NUM
fcis-5414	115	3	𝑁	𝑁	NOUN
fcis-5414	115	4	|	|	ADV
fcis-5414	115	5	(	(	PUNCT
fcis-5414	115	6	𝐿𝑐𝑜𝑛𝑓(𝑥	𝐿𝑐𝑜𝑛𝑓(𝑥	NOUN
fcis-5414	115	7	,	,	PUNCT
fcis-5414	115	8	𝑐	𝑐	NOUN
fcis-5414	115	9	)	)	PUNCT
fcis-5414	115	10	+	+	CCONJ
fcis-5414	116	1	𝛼𝐿𝑙𝑜𝑐(𝑥	𝛼𝐿𝑙𝑜𝑐(𝑥	NUM
fcis-5414	116	2	,	,	PUNCT
fcis-5414	116	3	𝑙	𝑙	X
fcis-5414	116	4	,	,	PUNCT
fcis-5414	116	5	𝑔	𝑔	NOUN
fcis-5414	116	6	)	)	PUNCT
fcis-5414	116	7	)	)	PUNCT
fcis-5414	116	8	,	,	PUNCT
fcis-5414	116	9	(	(	PUNCT
fcis-5414	116	10	𝑥	𝑥	X
fcis-5414	116	11	=	=	PUNCT
fcis-5414	116	12	𝑥𝑖,𝑗	𝑥𝑖,𝑗	X
fcis-5414	116	13	𝑝	𝑝	ADJ
fcis-5414	116	14	𝜖{0,1	𝜖{0,1	NOUN
fcis-5414	116	15	}	}	PUNCT
fcis-5414	116	16	)	)	PUNCT
fcis-5414	116	17	among	among	ADP
fcis-5414	116	18	them	they	PRON
fcis-5414	116	19	,	,	PUNCT
fcis-5414	116	20	𝑁the	𝑁the	DET
fcis-5414	116	21	number	number	NOUN
fcis-5414	116	22	of	of	ADP
fcis-5414	116	23	positive	positive	ADJ
fcis-5414	116	24	samples	sample	NOUN
fcis-5414	116	25	of	of	ADP
fcis-5414	116	26	the	the	DET
fcis-5414	116	27	prior	prior	ADJ
fcis-5414	116	28	box	box	NOUN
fcis-5414	116	29	𝑥𝑖,𝑗	𝑥𝑖,𝑗	PUNCT
fcis-5414	116	30	𝑝	𝑝	PROPN
fcis-5414	116	31	is	be	AUX
fcis-5414	116	32	an	an	DET
fcis-5414	116	33	indicator	indicator	NOUN
fcis-5414	116	34	parameter	parameter	NOUN
fcis-5414	116	35	.	.	PUNCT
fcis-5414	117	1	when	when	SCONJ
fcis-5414	117	2	𝑥𝑖,𝑗	𝑥𝑖,𝑗	PRON
fcis-5414	117	3	𝑝	𝑝	NOUN
fcis-5414	117	4	=	=	PRON
fcis-5414	117	5	1the	1the	ADJ
fcis-5414	117	6	th	th	X
fcis-5414	117	7	𝑖prior	𝑖prior	PROPN
fcis-5414	117	8	box	box	PROPN
fcis-5414	117	9	matches	match	VERB
fcis-5414	117	10	the	the	DET
fcis-5414	117	11	th	th	NUM
fcis-5414	117	12	𝑗real	𝑗real	NOUN
fcis-5414	117	13	bounding	bounding	NOUN
fcis-5414	117	14	box	box	NOUN
fcis-5414	117	15	,	,	PUNCT
fcis-5414	117	16	and	and	CCONJ
fcis-5414	117	17	the	the	DET
fcis-5414	117	18	category	category	NOUN
fcis-5414	117	19	of	of	ADP
fcis-5414	117	20	the	the	DET
fcis-5414	117	21	target	target	NOUN
fcis-5414	117	22	object	object	NOUN
fcis-5414	117	23	contained	contain	VERB
fcis-5414	117	24	in	in	ADP
fcis-5414	117	25	the	the	DET
fcis-5414	117	26	real	real	ADJ
fcis-5414	117	27	bounding	bounding	NOUN
fcis-5414	117	28	box	box	NOUN
fcis-5414	117	29	is	be	AUX
fcis-5414	117	30	𝑝	𝑝	PROPN
fcis-5414	117	31	,	,	PUNCT
fcis-5414	117	32	the	the	DET
fcis-5414	117	33	predicted	predict	VERB
fcis-5414	117	34	category	category	NOUN
fcis-5414	117	35	confidence	confidence	NOUN
fcis-5414	117	36	is	be	AUX
fcis-5414	117	37	𝑐.	𝑐.	NOUN
fcis-5414	117	38	𝑙is	𝑙is	VERB
fcis-5414	117	39	the	the	DET
fcis-5414	117	40	position	position	NOUN
fcis-5414	117	41	prediction	prediction	NOUN
fcis-5414	117	42	value	value	NOUN
fcis-5414	117	43	of	of	ADP
fcis-5414	117	44	the	the	DET
fcis-5414	117	45	bounding	bounding	NOUN
fcis-5414	117	46	box	box	NOUN
fcis-5414	117	47	corresponding	correspond	VERB
fcis-5414	117	48	to	to	ADP
fcis-5414	117	49	the	the	DET
fcis-5414	117	50	prior	prior	ADJ
fcis-5414	117	51	box	box	NOUN
fcis-5414	117	52	,	,	PUNCT
fcis-5414	117	53	𝑔and	𝑔and	NOUN
fcis-5414	117	54	is	be	AUX
fcis-5414	117	55	the	the	DET
fcis-5414	117	56	position	position	NOUN
fcis-5414	117	57	parameter	parameter	NOUN
fcis-5414	117	58	of	of	ADP
fcis-5414	117	59	the	the	DET
fcis-5414	117	60	real	real	ADJ
fcis-5414	117	61	bounding	bounding	NOUN
fcis-5414	117	62	box	box	NOUN
fcis-5414	117	63	,	,	PUNCT
fcis-5414	117	64	and	and	CCONJ
fcis-5414	117	65	the	the	DET
fcis-5414	117	66	weight	weight	NOUN
fcis-5414	117	67	coefficient	coefficient	NOUN
fcis-5414	117	68	𝛼	𝛼	NOUN
fcis-5414	117	69	is	be	AUX
fcis-5414	117	70	set	set	VERB
fcis-5414	117	71	to	to	ADP
fcis-5414	117	72	1	1	NUM
fcis-5414	117	73	and	and	CCONJ
fcis-5414	117	74	used	use	VERB
fcis-5414	117	75	to	to	PART
fcis-5414	117	76	adjust	adjust	VERB
fcis-5414	117	77	the	the	DET
fcis-5414	117	78	proportional	proportional	ADJ
fcis-5414	117	79	weight	weight	NOUN
fcis-5414	117	80	between	between	ADP
fcis-5414	117	81	the	the	DET
fcis-5414	117	82	bounding	bounding	NOUN
fcis-5414	117	83	box	box	NOUN
fcis-5414	117	84	regression	regression	NOUN
fcis-5414	117	85	loss	loss	NOUN
fcis-5414	117	86	and	and	CCONJ
fcis-5414	117	87	the	the	DET
fcis-5414	117	88	classification	classification	NOUN
fcis-5414	117	89	loss	loss	NOUN
fcis-5414	117	90	through	through	ADP
fcis-5414	117	91	cross	cross	NOUN
fcis-5414	117	92	-	-	NOUN
fcis-5414	117	93	validation	validation	NOUN
fcis-5414	117	94	.	.	PUNCT
fcis-5414	118	1	for	for	ADP
fcis-5414	118	2	the	the	DET
fcis-5414	118	3	classification	classification	NOUN
fcis-5414	118	4	confidence	confidence	NOUN
fcis-5414	118	5	loss	loss	NOUN
fcis-5414	118	6	function	function	NOUN
fcis-5414	118	7	𝐿𝑐𝑜𝑛𝑓	𝐿𝑐𝑜𝑛𝑓	PROPN
fcis-5414	118	8	,	,	PUNCT
fcis-5414	118	9	softmax	softmax	NOUN
fcis-5414	118	10	loss	loss	NOUN
fcis-5414	118	11	is	be	AUX
fcis-5414	118	12	used	use	VERB
fcis-5414	118	13	,	,	PUNCT
fcis-5414	118	14	and	and	CCONJ
fcis-5414	118	15	its	its	PRON
fcis-5414	118	16	formula	formula	NOUN
fcis-5414	118	17	is	be	AUX
fcis-5414	118	18	:	:	PUNCT
fcis-5414	118	19	𝐿𝑐𝑜𝑛𝑓(𝑥	𝐿𝑐𝑜𝑛𝑓(𝑥	NOUN
fcis-5414	118	20	,	,	PUNCT
fcis-5414	118	21	𝑐	𝑐	NOUN
fcis-5414	118	22	)	)	PUNCT
fcis-5414	118	23	=	=	SYM
fcis-5414	119	1	−	−	PROPN
fcis-5414	119	2	∑	∑	PUNCT
fcis-5414	119	3	𝑥𝑖,𝑗	𝑥𝑖,𝑗	NOUN
fcis-5414	119	4	𝑝	𝑝	ADP
fcis-5414	119	5	𝑁	𝑁	PROPN
fcis-5414	119	6	𝑖∈𝑃𝑜𝑠	𝑖∈𝑃𝑜𝑠	ADJ
fcis-5414	119	7	log(𝑐	log(𝑐	PROPN
fcis-5414	119	8	�	�	SYM
fcis-5414	119	9	̂	̂	SYM
fcis-5414	119	10	�	�	PROPN
fcis-5414	119	11	𝑝	𝑝	PROPN
fcis-5414	119	12	)	)	PUNCT
fcis-5414	119	13	−	−	PROPN
fcis-5414	119	14	∑	∑	PUNCT
fcis-5414	119	15	log(	log(	ADJ
fcis-5414	119	16	�	�	PROPN
fcis-5414	119	17	̂	̂	NOUN
fcis-5414	119	18	�	�	NOUN
fcis-5414	119	19	𝑖	𝑖	SYM
fcis-5414	119	20	0	0	NUM
fcis-5414	119	21	)	)	PUNCT
fcis-5414	119	22	𝑖∈𝑁𝑒𝑔	𝑖∈𝑁𝑒𝑔	NOUN
fcis-5414	119	23	�	�	SYM
fcis-5414	119	24	̂	̂	VERB
fcis-5414	119	25	�	�	NOUN
fcis-5414	119	26	𝑖	𝑖	SYM
fcis-5414	119	27	𝑝	𝑝	NOUN
fcis-5414	119	28	=	=	PUNCT
fcis-5414	119	29	exp	exp	NOUN
fcis-5414	119	30	(	(	PUNCT
fcis-5414	119	31	𝑐𝑖	𝑐𝑖	NOUN
fcis-5414	119	32	𝑝	𝑝	PROPN
fcis-5414	119	33	)	)	PUNCT
fcis-5414	119	34	∑	∑	NOUN
fcis-5414	119	35	exp	exp	X
fcis-5414	119	36	(	(	PUNCT
fcis-5414	119	37	𝑐	𝑐	NOUN
fcis-5414	119	38	�	�	PROPN
fcis-5414	119	39	̂	̂	PROPN
fcis-5414	119	40	�	�	PROPN
fcis-5414	119	41	𝑝	𝑝	PROPN
fcis-5414	119	42	)	)	PUNCT
fcis-5414	119	43	𝑝	𝑝	NOUN
fcis-5414	119	44	among	among	ADP
fcis-5414	119	45	them	they	PRON
fcis-5414	119	46	,	,	PUNCT
fcis-5414	119	47	𝑃𝑜𝑠denotes	𝑃𝑜𝑠denote	VERB
fcis-5414	119	48	a	a	DET
fcis-5414	119	49	positive	positive	ADJ
fcis-5414	119	50	sample	sample	NOUN
fcis-5414	119	51	,	,	PUNCT
fcis-5414	119	52	𝑁𝑒𝑔denotes	𝑁𝑒𝑔denote	VERB
fcis-5414	119	53	a	a	DET
fcis-5414	119	54	negative	negative	ADJ
fcis-5414	119	55	sample	sample	NOUN
fcis-5414	119	56	,	,	PUNCT
fcis-5414	119	57	denotes	denote	VERB
fcis-5414	119	58	the	the	DET
fcis-5414	119	59	probability	probability	NOUN
fcis-5414	119	60	that	that	SCONJ
fcis-5414	119	61	the	the	DET
fcis-5414	119	62	target	target	NOUN
fcis-5414	119	63	in	in	ADP
fcis-5414	119	64	the	the	DET
fcis-5414	119	65	th	th	NUM
fcis-5414	119	66	prediction	prediction	NOUN
fcis-5414	119	67	frame	frame	NOUN
fcis-5414	119	68	of	of	ADP
fcis-5414	119	69	the	the	DET
fcis-5414	119	70	target	target	NOUN
fcis-5414	119	71	𝑖	𝑖	SYM
fcis-5414	119	72	is	be	AUX
fcis-5414	119	73	the	the	DET
fcis-5414	119	74	th	th	NUM
fcis-5414	119	75	𝑝	𝑝	PROPN
fcis-5414	119	76	category	category	NOUN
fcis-5414	119	77	,	,	PUNCT
fcis-5414	119	78	denotes	denote	VERB
fcis-5414	119	79	that	that	SCONJ
fcis-5414	119	80	there	there	PRON
fcis-5414	119	81	is	be	VERB
fcis-5414	119	82	no	no	DET
fcis-5414	119	83	object	object	NOUN
fcis-5414	119	84	in	in	ADP
fcis-5414	119	85	the	the	DET
fcis-5414	119	86	prediction	prediction	NOUN
fcis-5414	119	87	frame	frame	NOUN
fcis-5414	119	88	,	,	PUNCT
fcis-5414	119	89	that	that	ADV
fcis-5414	119	90	is	is	ADV
fcis-5414	119	91	,	,	PUNCT
fcis-5414	119	92	refers	refer	VERB
fcis-5414	119	93	to	to	ADP
fcis-5414	119	94	the	the	DET
fcis-5414	119	95	category	category	NOUN
fcis-5414	119	96	number	number	NOUN
fcis-5414	119	97	,	,	PUNCT
fcis-5414	119	98	and	and	CCONJ
fcis-5414	119	99	𝑝𝑝	𝑝𝑝	NOUN
fcis-5414	119	100	=	=	SYM
fcis-5414	119	101	0	0	NUM
fcis-5414	119	102	denotes	denote	VERB
fcis-5414	119	103	the	the	DET
fcis-5414	119	104	background	background	NOUN
fcis-5414	119	105	.	.	PUNCT
fcis-5414	120	1	for	for	ADP
fcis-5414	120	2	the	the	DET
fcis-5414	120	3	frame	frame	NOUN
fcis-5414	120	4	positioning	positioning	NOUN
fcis-5414	120	5	loss	loss	NOUN
fcis-5414	120	6	function	function	NOUN
fcis-5414	120	7	𝐿𝑙𝑜𝑐	𝐿𝑙𝑜𝑐	PROPN
fcis-5414	120	8	,	,	PUNCT
fcis-5414	120	9	smooth	smooth	ADJ
fcis-5414	120	10	l1	l1	PROPN
fcis-5414	120	11	is	be	AUX
fcis-5414	120	12	used	use	VERB
fcis-5414	120	13	and	and	CCONJ
fcis-5414	120	14	its	its	PRON
fcis-5414	120	15	formula	formula	NOUN
fcis-5414	120	16	is	be	AUX
fcis-5414	120	17	:	:	PUNCT
fcis-5414	120	18	𝐿𝑙𝑜𝑐(𝑥	𝐿𝑙𝑜𝑐(𝑥	NUM
fcis-5414	120	19	,	,	PUNCT
fcis-5414	120	20	𝑙	𝑙	NUM
fcis-5414	120	21	,	,	PUNCT
fcis-5414	120	22	𝑔	𝑔	NOUN
fcis-5414	120	23	)	)	PUNCT
fcis-5414	120	24	=	=	SYM
fcis-5414	121	1	∑	∑	PROPN
fcis-5414	121	2	∑	∑	PROPN
fcis-5414	121	3	𝑥𝑖,𝑗	𝑥𝑖,𝑗	NOUN
fcis-5414	121	4	𝑝	𝑝	PROPN
fcis-5414	121	5	𝑆𝑚𝑜𝑜𝑡ℎ𝐿𝐼(𝑙𝑖	𝑆𝑚𝑜𝑜𝑡ℎ𝐿𝐼(𝑙𝑖	PROPN
fcis-5414	121	6	𝑚	𝑚	ADP
fcis-5414	121	7	−	−	PROPN
fcis-5414	121	8	�	�	PROPN
fcis-5414	121	9	̂	̂	NOUN
fcis-5414	121	10	�	�	NOUN
fcis-5414	121	11	𝑗	𝑗	NOUN
fcis-5414	121	12	𝑚	𝑚	NOUN
fcis-5414	121	13	)	)	PUNCT
fcis-5414	121	14	𝑁	𝑁	NOUN
fcis-5414	121	15	𝑖∈𝑃𝑜𝑠∈{𝑐𝑥,𝑐𝑦,𝑤,ℎ	𝑖∈𝑃𝑜𝑠∈{𝑐𝑥,𝑐𝑦,𝑤,ℎ	NOUN
fcis-5414	121	16	}	}	PUNCT
fcis-5414	121	17	𝑆𝑚𝑜𝑜𝑡ℎ𝐿𝐼	𝑆𝑚𝑜𝑜𝑡ℎ𝐿𝐼	NOUN
fcis-5414	121	18	=	=	PUNCT
fcis-5414	121	19	{	{	PUNCT
fcis-5414	121	20	0.5𝑥2	0.5𝑥2	NUM
fcis-5414	121	21	|𝑥|	|𝑥|	ADJ
fcis-5414	121	22	<	<	X
fcis-5414	121	23	1	1	NUM
fcis-5414	121	24	|𝑥|	|𝑥|	ADV
fcis-5414	121	25	−	−	PROPN
fcis-5414	121	26	0.5	0.5	NUM
fcis-5414	121	27	|𝑥|	|𝑥|	PROPN
fcis-5414	121	28	≥	≥	NOUN
fcis-5414	121	29	1	1	NUM
fcis-5414	121	30	among	among	ADP
fcis-5414	121	31	them	they	PRON
fcis-5414	121	32	,	,	PUNCT
fcis-5414	121	33	𝑙𝑖	𝑙𝑖	ADP
fcis-5414	121	34	𝑚	𝑚	PROPN
fcis-5414	121	35	is	be	AUX
fcis-5414	121	36	the	the	DET
fcis-5414	121	37	𝑖	𝑖	X
fcis-5414	121	38	th	th	NOUN
fcis-5414	121	39	prediction	prediction	NOUN
fcis-5414	121	40	frame	frame	NOUN
fcis-5414	121	41	,	,	PUNCT
fcis-5414	121	42	and	and	CCONJ
fcis-5414	121	43	𝑖	𝑖	DET
fcis-5414	121	44	the	the	DET
fcis-5414	121	45	location	location	NOUN
fcis-5414	121	46	information	information	NOUN
fcis-5414	121	47	of	of	ADP
fcis-5414	121	48	the	the	DET
fcis-5414	121	49	th	th	NUM
fcis-5414	121	50	prior	prior	ADJ
fcis-5414	121	51	frame	frame	NOUN
fcis-5414	121	52	is	be	AUX
fcis-5414	121	53	𝑑𝑖denoted	𝑑𝑖denote	VERB
fcis-5414	121	54	by	by	ADP
fcis-5414	121	55	,	,	PUNCT
fcis-5414	121	56	where	where	SCONJ
fcis-5414	121	57	𝑑𝑖	𝑑𝑖	VERB
fcis-5414	121	58	=	=	PRON
fcis-5414	121	59	(	(	PUNCT
fcis-5414	121	60	𝑑𝑖	𝑑𝑖	NOUN
fcis-5414	121	61	𝑐𝑥	𝑐𝑥	ADV
fcis-5414	121	62	,	,	PUNCT
fcis-5414	121	63	𝑑𝑖	𝑑𝑖	PROPN
fcis-5414	121	64	𝑐𝑦	𝑐𝑦	INTJ
fcis-5414	121	65	,	,	PUNCT
fcis-5414	121	66	𝑑𝑖	𝑑𝑖	PROPN
fcis-5414	121	67	𝑤	𝑤	PROPN
fcis-5414	121	68	,	,	PUNCT
fcis-5414	121	69	𝑑𝑖	𝑑𝑖	PART
fcis-5414	121	70	ℎ	ℎ	NOUN
fcis-5414	121	71	)	)	PUNCT
fcis-5414	121	72	is	be	AUX
fcis-5414	121	73	a	a	DET
fcis-5414	121	74	four	four	NUM
fcis-5414	121	75	-	-	PUNCT
fcis-5414	121	76	dimensional	dimensional	ADJ
fcis-5414	121	77	vector	vector	NOUN
fcis-5414	121	78	,	,	PUNCT
fcis-5414	121	79	respectively	respectively	ADV
fcis-5414	121	80	representing	represent	VERB
fcis-5414	121	81	the	the	DET
fcis-5414	121	82	center	center	NOUN
fcis-5414	121	83	coordinates	coordinate	NOUN
fcis-5414	121	84	,	,	PUNCT
fcis-5414	121	85	width	width	ADJ
fcis-5414	121	86	and	and	CCONJ
fcis-5414	121	87	height	height	NOUN
fcis-5414	121	88	of	of	ADP
fcis-5414	121	89	the	the	DET
fcis-5414	121	90	prior	prior	ADJ
fcis-5414	121	91	frame	frame	NOUN
fcis-5414	121	92	.	.	PUNCT
fcis-5414	122	1	�	�	PROPN
fcis-5414	122	2	̂	̂	VERB
fcis-5414	122	3	�	�	NOUN
fcis-5414	122	4	𝑗	𝑗	NOUN
fcis-5414	122	5	𝑚in	𝑚in	NOUN
fcis-5414	122	6	order	order	NOUN
fcis-5414	122	7	to	to	PART
fcis-5414	122	8	𝑗convert	𝑗convert	VERB
fcis-5414	122	9	the	the	DET
fcis-5414	122	10	encoded	encode	VERB
fcis-5414	122	11	value	value	NOUN
fcis-5414	122	12	of	of	ADP
fcis-5414	122	13	the	the	DET
fcis-5414	122	14	first	first	ADJ
fcis-5414	122	15	ground	ground	NOUN
fcis-5414	122	16	truth	truth	NOUN
fcis-5414	122	17	bounding	bound	VERB
fcis-5414	122	18	box	box	NOUN
fcis-5414	122	19	relative	relative	ADJ
fcis-5414	122	20	to	to	ADP
fcis-5414	122	21	the	the	DET
fcis-5414	122	22	prior	prior	ADJ
fcis-5414	122	23	box	box	NOUN
fcis-5414	122	24	,	,	PUNCT
fcis-5414	122	25	the	the	DET
fcis-5414	122	26	coordinate	coordinate	NOUN
fcis-5414	122	27	encoding	encode	VERB
fcis-5414	122	28	formulas	formula	NOUN
fcis-5414	122	29	of	of	ADP
fcis-5414	122	30	the	the	DET
fcis-5414	122	31	ground	ground	NOUN
fcis-5414	122	32	truth	truth	NOUN
fcis-5414	122	33	bounding	bounding	NOUN
fcis-5414	122	34	box	box	NOUN
fcis-5414	122	35	are	be	AUX
fcis-5414	122	36	:	:	PUNCT
fcis-5414	122	37	𝑔𝑗	𝑔𝑗	X
fcis-5414	122	38	=	=	PUNCT
fcis-5414	122	39	(	(	PUNCT
fcis-5414	122	40	𝑔𝑗	𝑔𝑗	ADV
fcis-5414	122	41	𝑐𝑥	𝑐𝑥	ADV
fcis-5414	122	42	,	,	PUNCT
fcis-5414	122	43	𝑔𝑗	𝑔𝑗	ADV
fcis-5414	122	44	𝑐𝑦	𝑐𝑦	VERB
fcis-5414	122	45	,	,	PUNCT
fcis-5414	122	46	𝑔𝑗	𝑔𝑗	NOUN
fcis-5414	122	47	𝑤	𝑤	INTJ
fcis-5414	122	48	,	,	PUNCT
fcis-5414	122	49	𝑔𝑗	𝑔𝑗	ADJ
fcis-5414	122	50	ℎ	ℎ	PROPN
fcis-5414	122	51	)	)	PUNCT
fcis-5414	122	52	�	�	NOUN
fcis-5414	122	53	̂	̂	VERB
fcis-5414	122	54	�	�	NOUN
fcis-5414	122	55	𝑗	𝑗	NOUN
fcis-5414	122	56	𝑐𝑥	𝑐𝑥	NOUN
fcis-5414	122	57	=	=	PUNCT
fcis-5414	122	58	(	(	PUNCT
fcis-5414	122	59	𝑔𝑗	𝑔𝑗	ADV
fcis-5414	122	60	𝑐𝑥	𝑐𝑥	ADV
fcis-5414	122	61	−	−	PROPN
fcis-5414	122	62	𝑑𝑖	𝑑𝑖	VERB
fcis-5414	122	63	𝑐𝑥)/𝑑𝑖	𝑐𝑥)/𝑑𝑖	ADJ
fcis-5414	122	64	𝑤	𝑤	PART
fcis-5414	122	65	�	�	PROPN
fcis-5414	122	66	̂	̂	NOUN
fcis-5414	122	67	�	�	NOUN
fcis-5414	122	68	𝑗	𝑗	NOUN
fcis-5414	122	69	𝑐𝑦	𝑐𝑦	NOUN
fcis-5414	122	70	=	=	PUNCT
fcis-5414	122	71	(	(	PUNCT
fcis-5414	122	72	𝑔𝑗	𝑔𝑗	ADV
fcis-5414	122	73	𝑐𝑦	𝑐𝑦	VERB
fcis-5414	122	74	−	−	NOUN
fcis-5414	122	75	𝑑𝑖	𝑑𝑖	PROPN
fcis-5414	122	76	𝑐𝑦	𝑐𝑦	VERB
fcis-5414	122	77	)	)	PUNCT
fcis-5414	122	78	/𝑑𝑖	/𝑑𝑖	PRON
fcis-5414	122	79	ℎ	ℎ	PROPN
fcis-5414	122	80	�	�	PROPN
fcis-5414	122	81	̂	̂	NOUN
fcis-5414	122	82	�	�	NOUN
fcis-5414	122	83	𝑗	𝑗	NOUN
fcis-5414	122	84	𝑤	𝑤	NOUN
fcis-5414	122	85	=	=	SYM
fcis-5414	122	86	log	log	NOUN
fcis-5414	122	87	(	(	PUNCT
fcis-5414	122	88	𝑔𝑗	𝑔𝑗	NOUN
fcis-5414	122	89	𝑤	𝑤	ADP
fcis-5414	122	90	𝑑𝑖	𝑑𝑖	NOUN
fcis-5414	122	91	𝑤	𝑤	PROPN
fcis-5414	122	92	)	)	PUNCT
fcis-5414	122	93	�	�	PROPN
fcis-5414	122	94	̂	̂	VERB
fcis-5414	122	95	�	�	NOUN
fcis-5414	122	96	𝑗	𝑗	ADJ
fcis-5414	122	97	ℎ	ℎ	PROPN
fcis-5414	122	98	=	=	SYM
fcis-5414	122	99	log	log	PROPN
fcis-5414	122	100	(	(	PUNCT
fcis-5414	122	101	𝑔𝑗	𝑔𝑗	ADV
fcis-5414	122	102	ℎ	ℎ	PROPN
fcis-5414	122	103	𝑑𝑖	𝑑𝑖	PROPN
fcis-5414	122	104	ℎ	ℎ	NOUN
fcis-5414	122	105	)	)	PUNCT
fcis-5414	122	106	2.3	2.3	NUM
fcis-5414	122	107	.	.	PUNCT
fcis-5414	123	1	chapter	chapter	NOUN
fcis-5414	123	2	summary	summary	NOUN
fcis-5414	123	3	this	this	DET
fcis-5414	123	4	chapter	chapter	NOUN
fcis-5414	123	5	introduces	introduce	VERB
fcis-5414	123	6	the	the	DET
fcis-5414	123	7	main	main	ADJ
fcis-5414	123	8	principles	principle	NOUN
fcis-5414	123	9	of	of	ADP
fcis-5414	123	10	the	the	DET
fcis-5414	123	11	ssd	ssd	NOUN
fcis-5414	123	12	network	network	NOUN
fcis-5414	123	13	and	and	CCONJ
fcis-5414	123	14	summarizes	summarize	NOUN
fcis-5414	123	15	the	the	DET
fcis-5414	123	16	formulas	formula	NOUN
fcis-5414	123	17	.	.	PUNCT
fcis-5414	124	1	next	next	ADV
fcis-5414	124	2	,	,	PUNCT
fcis-5414	124	3	we	we	PRON
fcis-5414	124	4	will	will	AUX
fcis-5414	124	5	implement	implement	VERB
fcis-5414	124	6	the	the	DET
fcis-5414	124	7	ssd	ssd	NOUN
fcis-5414	124	8	network	network	NOUN
fcis-5414	124	9	and	and	CCONJ
fcis-5414	124	10	make	make	VERB
fcis-5414	124	11	it	it	PRON
fcis-5414	124	12	train	train	VERB
fcis-5414	124	13	the	the	DET
fcis-5414	124	14	taco	taco	NOUN
fcis-5414	124	15	dataset	dataset	NOUN
fcis-5414	124	16	and	and	CCONJ
fcis-5414	124	17	test	test	VERB
fcis-5414	124	18	its	its	PRON
fcis-5414	124	19	effect	effect	NOUN
fcis-5414	124	20	.	.	PUNCT
fcis-5414	125	1	3	3	X
fcis-5414	125	2	.	.	X
fcis-5414	125	3	implementation	implementation	NOUN
fcis-5414	125	4	of	of	ADP
fcis-5414	125	5	single	single	ADJ
fcis-5414	125	6	-	-	PUNCT
fcis-5414	125	7	shot	shot	NOUN
fcis-5414	125	8	multiframe	multiframe	NOUN
fcis-5414	125	9	detection	detection	NOUN
fcis-5414	125	10	3.1	3.1	NUM
fcis-5414	125	11	.	.	PUNCT
fcis-5414	125	12	configuration	configuration	NOUN
fcis-5414	125	13	environment	environment	NOUN
fcis-5414	125	14	and	and	CCONJ
fcis-5414	125	15	preparations	preparation	NOUN
fcis-5414	125	16	first	first	ADV
fcis-5414	125	17	of	of	ADP
fcis-5414	125	18	all	all	PRON
fcis-5414	125	19	,	,	PUNCT
fcis-5414	125	20	we	we	PRON
fcis-5414	125	21	need	need	VERB
fcis-5414	125	22	to	to	PART
fcis-5414	125	23	install	install	VERB
fcis-5414	125	24	the	the	DET
fcis-5414	125	25	deep	deep	ADJ
fcis-5414	125	26	learning	learning	NOUN
fcis-5414	125	27	framework	framework	NOUN
fcis-5414	125	28	,	,	PUNCT
fcis-5414	125	29	we	we	PRON
fcis-5414	125	30	choose	choose	VERB
fcis-5414	125	31	pytorch	pytorch	NOUN
fcis-5414	125	32	here	here	ADV
fcis-5414	125	33	.	.	PUNCT
fcis-5414	126	1	open	open	VERB
fcis-5414	126	2	the	the	DET
fcis-5414	126	3	pytorch	pytorch	NOUN
fcis-5414	126	4	official	official	ADJ
fcis-5414	126	5	website	website	NOUN
fcis-5414	126	6	and	and	CCONJ
fcis-5414	126	7	choose	choose	VERB
fcis-5414	126	8	the	the	DET
fcis-5414	126	9	version	version	NOUN
fcis-5414	126	10	that	that	PRON
fcis-5414	126	11	suits	suit	VERB
fcis-5414	126	12	us	we	PRON
fcis-5414	126	13	according	accord	VERB
fcis-5414	126	14	to	to	ADP
fcis-5414	126	15	our	our	PRON
fcis-5414	126	16	conditions	condition	NOUN
fcis-5414	126	17	.	.	PUNCT
fcis-5414	127	1	what	what	PRON
fcis-5414	127	2	i	i	PRON
fcis-5414	127	3	choose	choose	VERB
fcis-5414	127	4	here	here	ADV
fcis-5414	127	5	is	be	AUX
fcis-5414	127	6	the	the	DET
fcis-5414	127	7	lts	lts	PROPN
fcis-5414	127	8	version	version	NOUN
fcis-5414	127	9	in	in	ADP
fcis-5414	127	10	linux	linux	PROPN
fcis-5414	127	11	.	.	PUNCT
fcis-5414	128	1	we	we	PRON
fcis-5414	128	2	follow	follow	VERB
fcis-5414	128	3	the	the	DET
fcis-5414	128	4	prompts	prompt	NOUN
fcis-5414	128	5	on	on	ADP
fcis-5414	128	6	the	the	DET
fcis-5414	128	7	official	official	ADJ
fcis-5414	128	8	website	website	NOUN
fcis-5414	128	9	and	and	CCONJ
fcis-5414	128	10	enter	enter	VERB
fcis-5414	128	11	in	in	ADP
fcis-5414	128	12	the	the	DET
fcis-5414	128	13	terminal	terminal	ADJ
fcis-5414	128	14	pip3	pip3	NOUN
fcis-5414	128	15	install	install	VERB
fcis-5414	128	16	torch==1.10.0+cu113	torch==1.10.0+cu113	PROPN
fcis-5414	128	17	torchvision	torchvision	NOUN
fcis-5414	128	18	=	=	SYM
fcis-5414	128	19	=	=	SYM
fcis-5414	128	20	0.11.1+cu113	0.11.1+cu113	NOUN
fcis-5414	128	21	torchaudio	torchaudio	NOUN
fcis-5414	128	22	=	=	SYM
fcis-5414	128	23	=	=	NOUN
fcis-5414	128	24	0.10.0+cu113	0.10.0+cu113	ADJ
fcis-5414	128	25	-f	-f	NUM
fcis-5414	128	26	https://download.pytorch.org/whl/cu113/torch_stable.html	https://download.pytorch.org/whl/cu113/torch_stable.html	NOUN
fcis-5414	128	27	after	after	SCONJ
fcis-5414	128	28	the	the	DET
fcis-5414	128	29	run	run	NOUN
fcis-5414	128	30	is	be	AUX
fcis-5414	128	31	over	over	ADV
fcis-5414	128	32	,	,	PUNCT
fcis-5414	128	33	we	we	PRON
fcis-5414	128	34	have	have	AUX
fcis-5414	128	35	installed	instal	VERB
fcis-5414	128	36	pytorch	pytorch	NOUN
fcis-5414	128	37	suitable	suitable	ADJ
fcis-5414	128	38	for	for	ADP
fcis-5414	128	39	our	our	PRON
fcis-5414	128	40	c	c	PROPN
fcis-5414	128	41	uda	uda	NOUN
fcis-5414	128	42	version	version	NOUN
fcis-5414	128	43	.	.	PUNCT
fcis-5414	129	1	this	this	DET
fcis-5414	129	2	string	string	NOUN
fcis-5414	129	3	of	of	ADP
fcis-5414	129	4	code	code	NOUN
fcis-5414	129	5	will	will	AUX
fcis-5414	129	6	also	also	ADV
fcis-5414	129	7	automatically	automatically	ADV
fcis-5414	129	8	install	install	VERB
fcis-5414	129	9	the	the	DET
fcis-5414	129	10	latest	late	ADJ
fcis-5414	129	11	cuda	cuda	NOUN
fcis-5414	129	12	for	for	ADP
fcis-5414	129	13	us	we	PRON
fcis-5414	129	14	.	.	PUNCT
fcis-5414	130	1	we	we	PRON
fcis-5414	130	2	can	can	AUX
fcis-5414	130	3	query	query	VERB
fcis-5414	130	4	our	our	PRON
fcis-5414	130	5	cuda	cuda	NOUN
fcis-5414	130	6	version	version	NOUN
fcis-5414	130	7	using	use	VERB
fcis-5414	130	8	nvidia	nvidia	PROPN
fcis-5414	130	9	-	-	PUNCT
fcis-5414	130	10	smi	smi	PROPN
fcis-5414	130	11	.	.	PUNCT
fcis-5414	131	1	in	in	ADP
fcis-5414	131	2	addition	addition	NOUN
fcis-5414	131	3	to	to	ADP
fcis-5414	131	4	the	the	DET
fcis-5414	131	5	need	need	NOUN
fcis-5414	131	6	to	to	PART
fcis-5414	131	7	install	install	VERB
fcis-5414	131	8	pytorch	pytorch	NOUN
fcis-5414	131	9	,	,	PUNCT
fcis-5414	131	10	we	we	PRON
fcis-5414	131	11	also	also	ADV
fcis-5414	131	12	need	need	VERB
fcis-5414	131	13	to	to	PART
fcis-5414	131	14	install	install	VERB
fcis-5414	131	15	other	other	ADJ
fcis-5414	131	16	packages	package	NOUN
fcis-5414	131	17	.	.	PUNCT
fcis-5414	132	1	the	the	DET
fcis-5414	132	2	list	list	NOUN
fcis-5414	132	3	of	of	ADP
fcis-5414	132	4	packages	package	NOUN
fcis-5414	132	5	is	be	AUX
fcis-5414	132	6	as	as	SCONJ
fcis-5414	132	7	follows	follow	VERB
fcis-5414	132	8	:	:	PUNCT
fcis-5414	132	9	scipy	scipy	NOUN
fcis-5414	132	10	,	,	PUNCT
fcis-5414	132	11	numpy	numpy	NOUN
fcis-5414	132	12	,	,	PUNCT
fcis-5414	132	13	matplotlib	matplotlib	PROPN
fcis-5414	132	14	,	,	PUNCT
fcis-5414	132	15	opencv	opencv	PROPN
fcis-5414	132	16	-python	-python	PROPN
fcis-5414	132	17	,	,	PUNCT
fcis-5414	132	18	torch	torch	NOUN
fcis-5414	132	19	,	,	PUNCT
fcis-5414	132	20	torchvision	torchvision	NOUN
fcis-5414	132	21	,	,	PUNCT
fcis-5414	132	22	tqdm	tqdm	NOUN
fcis-5414	132	23	,	,	PUNCT
fcis-5414	132	24	pillow	pillow	NOUN
fcis-5414	132	25	,	,	PUNCT
fcis-5414	132	26	h5py	h5py	PUNCT
fcis-5414	132	27	.	.	PUNCT
fcis-5414	133	1	we	we	PRON
fcis-5414	133	2	can	can	AUX
fcis-5414	133	3	manually	manually	ADV
fcis-5414	133	4	install	install	VERB
fcis-5414	133	5	these	these	DET
fcis-5414	133	6	packages	package	NOUN
fcis-5414	133	7	using	use	VERB
fcis-5414	133	8	pip	pip	NOUN
fcis-5414	133	9	,	,	PUNCT
fcis-5414	133	10	or	or	CCONJ
fcis-5414	133	11	we	we	PRON
fcis-5414	133	12	can	can	AUX
fcis-5414	133	13	open	open	VERB
fcis-5414	133	14	my	my	PRON
fcis-5414	133	15	tacossd	tacossd	ADJ
fcis-5414	133	16	folder	folder	NOUN
fcis-5414	133	17	and	and	CCONJ
fcis-5414	133	18	run	run	VERB
fcis-5414	133	19	the	the	DET
fcis-5414	133	20	following	follow	VERB
fcis-5414	133	21	code	code	NOUN
fcis-5414	133	22	:	:	PUNCT
fcis-5414	133	23	pip3	pip3	PROPN
fcis-5414	133	24	install	install	VERB
fcis-5414	133	25	-r	-r	PUNCT
fcis-5414	133	26	requirements.txt	requirements.txt	X
fcis-5414	133	27	in	in	ADP
fcis-5414	133	28	this	this	DET
fcis-5414	133	29	way	way	NOUN
fcis-5414	133	30	,	,	PUNCT
fcis-5414	133	31	the	the	DET
fcis-5414	133	32	system	system	NOUN
fcis-5414	133	33	will	will	AUX
fcis-5414	133	34	automatically	automatically	ADV
fcis-5414	133	35	install	install	VERB
fcis-5414	133	36	the	the	DET
fcis-5414	133	37	required	require	VERB
fcis-5414	133	38	packages	package	NOUN
fcis-5414	133	39	for	for	ADP
fcis-5414	133	40	us	we	PRON
fcis-5414	133	41	.	.	PUNCT
fcis-5414	134	1	i	i	PRON
fcis-5414	134	2	will	will	AUX
fcis-5414	134	3	put	put	VERB
fcis-5414	134	4	the	the	DET
fcis-5414	134	5	download	download	NOUN
fcis-5414	134	6	address	address	NOUN
fcis-5414	134	7	of	of	ADP
fcis-5414	134	8	the	the	DET
fcis-5414	134	9	tacossd	tacossd	ADJ
fcis-5414	134	10	file	file	NOUN
fcis-5414	134	11	at	at	ADP
fcis-5414	134	12	the	the	DET
fcis-5414	134	13	end	end	NOUN
fcis-5414	134	14	of	of	ADP
fcis-5414	134	15	the	the	DET
fcis-5414	134	16	article	article	NOUN
fcis-5414	134	17	3.2	3.2	NUM
fcis-5414	134	18	.	.	PUNCT
fcis-5414	135	1	introduction	introduction	NOUN
fcis-5414	135	2	to	to	ADP
fcis-5414	135	3	taco	taco	NOUN
fcis-5414	135	4	dataset	dataset	NOUN
fcis-5414	135	5	and	and	CCONJ
fcis-5414	135	6	dataset	dataset	NOUN
fcis-5414	135	7	production	production	NOUN
fcis-5414	135	8	the	the	DET
fcis-5414	135	9	dataset	dataset	NOUN
fcis-5414	135	10	we	we	PRON
fcis-5414	135	11	choose	choose	VERB
fcis-5414	135	12	here	here	ADV
fcis-5414	135	13	is	be	AUX
fcis-5414	135	14	taco	taco	NOUN
fcis-5414	135	15	.	.	PUNCT
fcis-5414	136	1	t	t	PROPN
fcis-5414	136	2	aco	aco	PROPN
fcis-5414	136	3	is	be	AUX
fcis-5414	136	4	a	a	DET
fcis-5414	136	5	growing	grow	VERB
fcis-5414	136	6	image	image	NOUN
fcis-5414	136	7	dataset	dataset	NOUN
fcis-5414	136	8	of	of	ADP
fcis-5414	136	9	garbage	garbage	NOUN
fcis-5414	136	10	images	image	NOUN
fcis-5414	136	11	.	.	PUNCT
fcis-5414	137	1	it	it	PRON
fcis-5414	137	2	contains	contain	VERB
fcis-5414	137	3	images	image	NOUN
fcis-5414	137	4	of	of	ADP
fcis-5414	137	5	garbage	garbage	NOUN
fcis-5414	137	6	taken	take	VERB
fcis-5414	137	7	in	in	ADP
fcis-5414	137	8	various	various	ADJ
fcis-5414	137	9	environments	environment	NOUN
fcis-5414	137	10	:	:	PUNCT
fcis-5414	137	11	woods	wood	NOUN
fcis-5414	137	12	,	,	PUNCT
fcis-5414	137	13	roads	road	NOUN
fcis-5414	137	14	,	,	PUNCT
fcis-5414	137	15	and	and	CCONJ
fcis-5414	137	16	beaches	beach	NOUN
fcis-5414	137	17	.	.	PUNCT
fcis-5414	138	1	these	these	DET
fcis-5414	138	2	images	image	NOUN
fcis-5414	138	3	are	be	AUX
fcis-5414	138	4	manually	manually	ADV
fcis-5414	138	5	labeled	label	VERB
fcis-5414	138	6	and	and	CCONJ
fcis-5414	138	7	segmented	segment	VERB
fcis-5414	138	8	according	accord	VERB
fcis-5414	138	9	to	to	ADP
fcis-5414	138	10	hierarchical	hierarchical	ADJ
fcis-5414	138	11	classifications	classification	NOUN
fcis-5414	138	12	to	to	PART
fcis-5414	138	13	train	train	VERB
fcis-5414	138	14	and	and	CCONJ
fcis-5414	138	15	evaluate	evaluate	VERB
fcis-5414	138	16	object	object	NOUN
fcis-5414	138	17	detection	detection	NOUN
fcis-5414	138	18	algorithms	algorithm	NOUN
fcis-5414	138	19	.	.	PUNCT
fcis-5414	139	1	taco	taco	NOUN
fcis-5414	139	2	dataset	dataset	PROPN
fcis-5414	139	3	:	:	PUNCT
fcis-5414	139	4	https://github.com/pedropro/taco	https://github.com/pedropro/taco	PROPN
fcis-5414	139	5	15	15	NUM
fcis-5414	139	6	different	different	ADJ
fcis-5414	139	7	groups	group	NOUN
fcis-5414	139	8	of	of	ADP
fcis-5414	139	9	pictures	picture	NOUN
fcis-5414	139	10	in	in	ADP
fcis-5414	139	11	the	the	DET
fcis-5414	139	12	data	datum	NOUN
fcis-5414	139	13	set	set	VERB
fcis-5414	139	14	,	,	PUNCT
fcis-5414	139	15	and	and	CCONJ
fcis-5414	139	16	each	each	DET
fcis-5414	139	17	group	group	NOUN
fcis-5414	139	18	has	have	VERB
fcis-5414	139	19	about	about	ADV
fcis-5414	139	20	100	100	NUM
fcis-5414	139	21	pictures	picture	NOUN
fcis-5414	139	22	.	.	PUNCT
fcis-5414	140	1	in	in	ADP
fcis-5414	140	2	order	order	NOUN
fcis-5414	140	3	to	to	PART
fcis-5414	140	4	reduce	reduce	VERB
fcis-5414	140	5	the	the	DET
fcis-5414	140	6	training	training	NOUN
fcis-5414	140	7	time	time	NOUN
fcis-5414	140	8	,	,	PUNCT
fcis-5414	140	9	we	we	PRON
fcis-5414	140	10	only	only	ADV
fcis-5414	140	11	select	select	VERB
fcis-5414	140	12	half	half	NOUN
fcis-5414	140	13	of	of	ADP
fcis-5414	140	14	them	they	PRON
fcis-5414	140	15	,	,	PUNCT
fcis-5414	140	16	and	and	CCONJ
fcis-5414	140	17	first	first	ADV
fcis-5414	140	18	manually	manually	ADV
fcis-5414	140	19	select	select	VERB
fcis-5414	140	20	some	some	DET
fcis-5414	140	21	garbage	garbage	NOUN
fcis-5414	140	22	and	and	CCONJ
fcis-5414	140	23	clear	clear	ADJ
fcis-5414	140	24	images	image	NOUN
fcis-5414	140	25	,	,	PUNCT
fcis-5414	140	26	and	and	CCONJ
fcis-5414	140	27	delete	delete	VERB
fcis-5414	140	28	the	the	DET
fcis-5414	140	29	unclear	unclear	ADJ
fcis-5414	140	30	images	image	NOUN
fcis-5414	140	31	.	.	PUNCT
fcis-5414	141	1	in	in	ADP
fcis-5414	141	2	the	the	DET
fcis-5414	141	3	end	end	NOUN
fcis-5414	141	4	we	we	PRON
fcis-5414	141	5	are	be	AUX
fcis-5414	141	6	left	leave	VERB
fcis-5414	141	7	with	with	ADP
fcis-5414	141	8	502	502	NUM
fcis-5414	141	9	images	image	NOUN
fcis-5414	141	10	that	that	PRON
fcis-5414	141	11	meet	meet	VERB
fcis-5414	141	12	the	the	DET
fcis-5414	141	13	criteria	criterion	NOUN
fcis-5414	141	14	.	.	PUNCT
fcis-5414	142	1	once	once	ADV
fcis-5414	142	2	the	the	DET
fcis-5414	142	3	images	image	NOUN
fcis-5414	142	4	are	be	AUX
fcis-5414	142	5	selected	select	VERB
fcis-5414	142	6	,	,	PUNCT
fcis-5414	142	7	we	we	PRON
fcis-5414	142	8	can	can	AUX
fcis-5414	142	9	start	start	VERB
fcis-5414	142	10	the	the	DET
fcis-5414	142	11	production	production	NOUN
fcis-5414	142	12	of	of	ADP
fcis-5414	142	13	the	the	DET
fcis-5414	142	14	dataset	dataset	NOUN
fcis-5414	142	15	.	.	PUNCT
fcis-5414	143	1	here	here	ADV
fcis-5414	143	2	we	we	PRON
fcis-5414	143	3	use	use	VERB
fcis-5414	143	4	label	label	NOUN
fcis-5414	143	5	abelimg	abelimg	NOUN
fcis-5414	143	6	,	,	PUNCT
fcis-5414	143	7	label	label	NOUN
fcis-5414	143	8	img	img	NOUN
fcis-5414	143	9	is	be	AUX
fcis-5414	143	10	a	a	DET
fcis-5414	143	11	software	software	NOUN
fcis-5414	143	12	that	that	PRON
fcis-5414	143	13	is	be	AUX
fcis-5414	143	14	convenient	convenient	ADJ
fcis-5414	143	15	for	for	SCONJ
fcis-5414	143	16	data	datum	NOUN
fcis-5414	143	17	scientists	scientist	NOUN
fcis-5414	143	18	to	to	PART
fcis-5414	143	19	make	make	VERB
fcis-5414	143	20	data	datum	NOUN
fcis-5414	143	21	sets	set	NOUN
fcis-5414	143	22	,	,	PUNCT
fcis-5414	143	23	and	and	CCONJ
fcis-5414	143	24	it	it	PRON
fcis-5414	143	25	can	can	AUX
fcis-5414	143	26	manually	manually	ADV
fcis-5414	143	27	mark	mark	VERB
fcis-5414	143	28	labels	label	NOUN
fcis-5414	143	29	in	in	ADP
fcis-5414	143	30	images	image	NOUN
fcis-5414	143	31	.	.	PUNCT
fcis-5414	144	1	let	let	VERB
fcis-5414	144	2	's	us	PRON
fcis-5414	144	3	open	open	VERB
fcis-5414	144	4	the	the	DET
fcis-5414	144	5	terminal	terminal	NOUN
fcis-5414	144	6	first	first	ADV
fcis-5414	144	7	,	,	PUNCT
fcis-5414	144	8	and	and	CCONJ
fcis-5414	144	9	enter	enter	VERB
fcis-5414	144	10	in	in	ADP
fcis-5414	144	11	it	it	PRON
fcis-5414	144	12	:	:	PUNCT
fcis-5414	144	13	pip3	pip3	NOUN
fcis-5414	144	14	install	install	VERB
fcis-5414	144	15	labelimg	labelimg	NOUN
fcis-5414	144	16	after	after	SCONJ
fcis-5414	144	17	the	the	DET
fcis-5414	144	18	installation	installation	NOUN
fcis-5414	144	19	is	be	AUX
fcis-5414	144	20	complete	complete	ADJ
fcis-5414	144	21	,	,	PUNCT
fcis-5414	144	22	we	we	PRON
fcis-5414	144	23	enter	enter	VERB
fcis-5414	144	24	in	in	ADP
fcis-5414	144	25	the	the	DET
fcis-5414	144	26	terminal	terminal	NOUN
fcis-5414	144	27	:	:	PUNCT
fcis-5414	144	28	lableimg	lableimg	VERB
fcis-5414	144	29	in	in	ADP
fcis-5414	144	30	the	the	DET
fcis-5414	144	31	picture	picture	NOUN
fcis-5414	144	32	,	,	PUNCT
fcis-5414	144	33	we	we	PRON
fcis-5414	144	34	can	can	AUX
fcis-5414	144	35	choose	choose	VERB
fcis-5414	144	36	the	the	DET
fcis-5414	144	37	folder	folder	NOUN
fcis-5414	144	38	to	to	PART
fcis-5414	144	39	open	open	VERB
fcis-5414	144	40	and	and	CCONJ
fcis-5414	144	41	the	the	DET
fcis-5414	144	42	location	location	NOUN
fcis-5414	144	43	of	of	ADP
fcis-5414	144	44	the	the	DET
fcis-5414	144	45	output	output	NOUN
fcis-5414	144	46	xml	xml	NOUN
fcis-5414	144	47	file	file	NOUN
fcis-5414	144	48	.	.	PUNCT
fcis-5414	145	1	here	here	ADV
fcis-5414	145	2	we	we	PRON
fcis-5414	145	3	choose	choose	VERB
fcis-5414	145	4	jpegimages	jpegimage	NOUN
fcis-5414	145	5	113	113	NUM
fcis-5414	145	6	as	as	ADP
fcis-5414	145	7	the	the	DET
fcis-5414	145	8	folder	folder	NOUN
fcis-5414	145	9	where	where	SCONJ
fcis-5414	145	10	the	the	DET
fcis-5414	145	11	picture	picture	NOUN
fcis-5414	145	12	is	be	AUX
fcis-5414	145	13	located	locate	VERB
fcis-5414	145	14	,	,	PUNCT
fcis-5414	145	15	and	and	CCONJ
fcis-5414	145	16	annotations	annotation	NOUN
fcis-5414	145	17	as	as	ADP
fcis-5414	145	18	the	the	DET
fcis-5414	145	19	folder	folder	NOUN
fcis-5414	145	20	where	where	SCONJ
fcis-5414	145	21	the	the	DET
fcis-5414	145	22	output	output	NOUN
fcis-5414	145	23	xml	xml	NOUN
fcis-5414	145	24	is	be	AUX
fcis-5414	145	25	located	locate	VERB
fcis-5414	145	26	.	.	PUNCT
fcis-5414	146	1	manually	manually	ADV
fcis-5414	146	2	marking	mark	VERB
fcis-5414	146	3	502	502	NUM
fcis-5414	146	4	pictures	picture	NOUN
fcis-5414	146	5	here	here	ADV
fcis-5414	146	6	,	,	PUNCT
fcis-5414	146	7	we	we	PRON
fcis-5414	146	8	can	can	AUX
fcis-5414	146	9	start	start	VERB
fcis-5414	146	10	the	the	DET
fcis-5414	146	11	training	training	NOUN
fcis-5414	146	12	of	of	ADP
fcis-5414	146	13	the	the	DET
fcis-5414	146	14	network	network	NOUN
fcis-5414	146	15	.	.	PUNCT
fcis-5414	147	1	3.3	3.3	NUM
fcis-5414	147	2	.	.	PUNCT
fcis-5414	148	1	ssd	ssd	NOUN
fcis-5414	148	2	network	network	NOUN
fcis-5414	148	3	training	training	NOUN
fcis-5414	148	4	due	due	ADP
fcis-5414	148	5	to	to	ADP
fcis-5414	148	6	the	the	DET
fcis-5414	148	7	complexity	complexity	NOUN
fcis-5414	148	8	of	of	ADP
fcis-5414	148	9	the	the	DET
fcis-5414	148	10	ssd	ssd	NOUN
fcis-5414	148	11	network	network	NOUN
fcis-5414	148	12	,	,	PUNCT
fcis-5414	148	13	if	if	SCONJ
fcis-5414	148	14	we	we	PRON
fcis-5414	148	15	do	do	AUX
fcis-5414	148	16	not	not	PART
fcis-5414	148	17	use	use	VERB
fcis-5414	148	18	pre	pre	ADJ
fcis-5414	148	19	-	-	ADJ
fcis-5414	148	20	trained	train	VERB
fcis-5414	148	21	weights	weight	NOUN
fcis-5414	148	22	,	,	PUNCT
fcis-5414	148	23	it	it	PRON
fcis-5414	148	24	may	may	AUX
fcis-5414	148	25	be	be	AUX
fcis-5414	148	26	difficult	difficult	ADJ
fcis-5414	148	27	to	to	PART
fcis-5414	148	28	make	make	VERB
fcis-5414	148	29	the	the	DET
fcis-5414	148	30	network	network	NOUN
fcis-5414	148	31	converge	converge	VERB
fcis-5414	148	32	with	with	ADP
fcis-5414	148	33	the	the	DET
fcis-5414	148	34	discrete	discrete	ADJ
fcis-5414	148	35	graphics	graphic	NOUN
fcis-5414	148	36	card	card	NOUN
fcis-5414	148	37	of	of	ADP
fcis-5414	148	38	my	my	PRON
fcis-5414	148	39	laptop	laptop	NOUN
fcis-5414	148	40	.	.	PUNCT
fcis-5414	149	1	so	so	ADV
fcis-5414	149	2	we	we	PRON
fcis-5414	149	3	found	find	VERB
fcis-5414	149	4	other	other	ADJ
fcis-5414	149	5	people	people	NOUN
fcis-5414	149	6	's	's	PART
fcis-5414	149	7	pre	pre	ADJ
fcis-5414	149	8	-	-	ADJ
fcis-5414	149	9	trained	train	VERB
fcis-5414	149	10	weights	weight	NOUN
fcis-5414	149	11	on	on	ADP
fcis-5414	149	12	the	the	DET
fcis-5414	149	13	internet	internet	NOUN
fcis-5414	149	14	using	use	VERB
fcis-5414	149	15	general	general	ADJ
fcis-5414	149	16	-	-	PUNCT
fcis-5414	149	17	purpose	purpose	NOUN
fcis-5414	149	18	datasets	dataset	NOUN
fcis-5414	149	19	.	.	PUNCT
fcis-5414	150	1	put	put	VERB
fcis-5414	150	2	the	the	DET
fcis-5414	150	3	s	s	NOUN
fcis-5414	150	4	sd_weights.pth	sd_weights.pth	NOUN
fcis-5414	150	5	downloaded	download	VERB
fcis-5414	150	6	from	from	ADP
fcis-5414	150	7	the	the	DET
fcis-5414	150	8	internet	internet	NOUN
fcis-5414	150	9	under	under	ADP
fcis-5414	150	10	the	the	DET
fcis-5414	150	11	model	model	NOUN
fcis-5414	150	12	_	_	PROPN
fcis-5414	150	13	data	datum	NOUN
fcis-5414	150	14	folder	folder	NOUN
fcis-5414	150	15	.	.	PUNCT
fcis-5414	151	1	then	then	ADV
fcis-5414	151	2	activate	activate	VERB
fcis-5414	151	3	the	the	DET
fcis-5414	151	4	environment	environment	NOUN
fcis-5414	151	5	we	we	PRON
fcis-5414	151	6	configured	configure	VERB
fcis-5414	151	7	before	before	ADV
fcis-5414	151	8	,	,	PUNCT
fcis-5414	151	9	and	and	CCONJ
fcis-5414	151	10	enter	enter	VERB
fcis-5414	151	11	in	in	ADP
fcis-5414	151	12	the	the	DET
fcis-5414	151	13	terminal	terminal	NOUN
fcis-5414	151	14	:	:	PUNCT
fcis-5414	151	15	conda	conda	NOUN
fcis-5414	151	16	activate	activate	VERB
fcis-5414	151	17	pytorch	pytorch	NOUN
fcis-5414	151	18	after	after	ADP
fcis-5414	151	19	activating	activate	VERB
fcis-5414	151	20	the	the	DET
fcis-5414	151	21	environment	environment	NOUN
fcis-5414	151	22	,	,	PUNCT
fcis-5414	151	23	we	we	PRON
fcis-5414	151	24	first	first	ADV
fcis-5414	151	25	run	run	VERB
fcis-5414	151	26	the	the	DET
fcis-5414	151	27	file	file	NOUN
fcis-5414	151	28	t	t	NOUN
fcis-5414	151	29	ac	ac	NOUN
fcis-5414	152	1	o	o	PROPN
fcis-5414	153	1	_	_	PUNCT
fcis-5414	153	2	annotation.py	annotation.py	PUNCT
fcis-5414	153	3	.	.	PUNCT
fcis-5414	154	1	t	t	PROPN
fcis-5414	154	2	ac	ac	PROPN
fcis-5414	155	1	o	o	PROPN
fcis-5414	155	2	_	_	PUNCT
fcis-5414	155	3	annotation.py	annotation.py	PRON
fcis-5414	155	4	is	be	AUX
fcis-5414	155	5	the	the	DET
fcis-5414	155	6	code	code	NOUN
fcis-5414	155	7	used	use	VERB
fcis-5414	155	8	to	to	PART
fcis-5414	155	9	set	set	VERB
fcis-5414	155	10	which	which	PRON
fcis-5414	155	11	is	be	AUX
fcis-5414	155	12	the	the	DET
fcis-5414	155	13	training	training	NOUN
fcis-5414	155	14	set	set	NOUN
fcis-5414	155	15	and	and	CCONJ
fcis-5414	155	16	which	which	PRON
fcis-5414	155	17	is	be	AUX
fcis-5414	155	18	the	the	DET
fcis-5414	155	19	verification	verification	NOUN
fcis-5414	155	20	set	set	NOUN
fcis-5414	155	21	.	.	PUNCT
fcis-5414	156	1	when	when	SCONJ
fcis-5414	156	2	we	we	PRON
fcis-5414	156	3	finish	finish	VERB
fcis-5414	156	4	running	run	VERB
fcis-5414	156	5	,	,	PUNCT
fcis-5414	156	6	two	two	NUM
fcis-5414	156	7	files	file	NOUN
fcis-5414	156	8	t	t	X
fcis-5414	156	9	aco_train.txt	aco_train.txt	PROPN
fcis-5414	156	10	and	and	CCONJ
fcis-5414	156	11	t	t	PROPN
fcis-5414	156	12	aco_val.txt	aco_val.txt	PROPN
fcis-5414	156	13	will	will	AUX
fcis-5414	156	14	appear	appear	VERB
fcis-5414	156	15	under	under	ADP
fcis-5414	156	16	the	the	DET
fcis-5414	156	17	folder	folder	NOUN
fcis-5414	156	18	,	,	PUNCT
fcis-5414	156	19	which	which	PRON
fcis-5414	156	20	are	be	AUX
fcis-5414	156	21	the	the	DET
fcis-5414	156	22	target	target	NOUN
fcis-5414	156	23	information	information	NOUN
fcis-5414	156	24	of	of	ADP
fcis-5414	156	25	the	the	DET
fcis-5414	156	26	randomly	randomly	ADV
fcis-5414	156	27	selected	select	VERB
fcis-5414	156	28	images	image	NOUN
fcis-5414	156	29	.	.	PUNCT
fcis-5414	157	1	usually	usually	ADV
fcis-5414	157	2	,	,	PUNCT
fcis-5414	157	3	we	we	PRON
fcis-5414	157	4	choose	choose	VERB
fcis-5414	157	5	a	a	DET
fcis-5414	157	6	ratio	ratio	NOUN
fcis-5414	157	7	of	of	ADP
fcis-5414	157	8	9:1	9:1	NUM
fcis-5414	157	9	for	for	ADP
fcis-5414	157	10	the	the	DET
fcis-5414	157	11	training	training	NOUN
fcis-5414	157	12	set	set	NOUN
fcis-5414	157	13	and	and	CCONJ
fcis-5414	157	14	the	the	DET
fcis-5414	157	15	validation	validation	NOUN
fcis-5414	157	16	set	set	NOUN
fcis-5414	157	17	.	.	PUNCT
fcis-5414	158	1	when	when	SCONJ
fcis-5414	158	2	the	the	DET
fcis-5414	158	3	above	above	ADJ
fcis-5414	158	4	work	work	NOUN
fcis-5414	158	5	is	be	AUX
fcis-5414	158	6	completed	complete	VERB
fcis-5414	158	7	,	,	PUNCT
fcis-5414	158	8	we	we	PRON
fcis-5414	158	9	can	can	AUX
fcis-5414	158	10	start	start	VERB
fcis-5414	158	11	the	the	DET
fcis-5414	158	12	training	training	NOUN
fcis-5414	158	13	of	of	ADP
fcis-5414	158	14	our	our	PRON
fcis-5414	158	15	network	network	NOUN
fcis-5414	158	16	.	.	PUNCT
fcis-5414	159	1	3.4	3.4	NUM
fcis-5414	159	2	.	.	PUNCT
fcis-5414	159	3	spam	spam	NOUN
fcis-5414	159	4	detection	detection	NOUN
fcis-5414	159	5	the	the	DET
fcis-5414	159	6	file	file	NOUN
fcis-5414	159	7	with	with	ADP
fcis-5414	159	8	the	the	DET
fcis-5414	159	9	smallest	small	ADJ
fcis-5414	159	10	l	l	NOUN
fcis-5414	159	11	oss	oss	NOUN
fcis-5414	159	12	in	in	ADP
fcis-5414	159	13	the	the	DET
fcis-5414	159	14	logs	log	NOUN
fcis-5414	159	15	file	file	NOUN
fcis-5414	159	16	.	.	PUNCT
fcis-5414	160	1	here	here	ADV
fcis-5414	160	2	l	l	PROPN
fcis-5414	160	3	oss	oss	NOUN
fcis-5414	160	4	is	be	AUX
fcis-5414	160	5	the	the	DET
fcis-5414	160	6	smallest	small	ADJ
fcis-5414	160	7	ep	ep	NOUN
fcis-5414	160	8	98	98	NUM
fcis-5414	160	9	,	,	PUNCT
fcis-5414	160	10	so	so	ADV
fcis-5414	160	11	we	we	PRON
fcis-5414	160	12	choose	choose	VERB
fcis-5414	160	13	it	it	PRON
fcis-5414	160	14	as	as	ADP
fcis-5414	160	15	the	the	DET
fcis-5414	160	16	weight	weight	NOUN
fcis-5414	160	17	we	we	PRON
fcis-5414	160	18	use	use	VERB
fcis-5414	160	19	for	for	ADP
fcis-5414	160	20	prediction	prediction	NOUN
fcis-5414	160	21	.	.	PUNCT
fcis-5414	161	1	before	before	SCONJ
fcis-5414	161	2	we	we	PRON
fcis-5414	161	3	can	can	AUX
fcis-5414	161	4	predict	predict	VERB
fcis-5414	161	5	,	,	PUNCT
fcis-5414	161	6	we	we	PRON
fcis-5414	161	7	also	also	ADV
fcis-5414	161	8	have	have	VERB
fcis-5414	161	9	to	to	PART
fcis-5414	161	10	modify	modify	VERB
fcis-5414	161	11	the	the	DET
fcis-5414	161	12	model_path	model_path	NOUN
fcis-5414	161	13	in	in	ADP
fcis-5414	161	14	the	the	DET
fcis-5414	161	15	ssd.py	ssd.py	PROPN
fcis-5414	161	16	file	file	NOUN
fcis-5414	161	17	.	.	PUNCT
fcis-5414	162	1	change	change	VERB
fcis-5414	162	2	the	the	DET
fcis-5414	162	3	previously	previously	ADV
fcis-5414	162	4	selected	select	VERB
fcis-5414	162	5	s	s	PRON
fcis-5414	162	6	sd_weights.pth	sd_weights.pth	NOUN
fcis-5414	162	7	to	to	ADP
fcis-5414	162	8	our	our	PRON
fcis-5414	162	9	trained	train	VERB
fcis-5414	162	10	weight	weight	NOUN
fcis-5414	162	11	ep	ep	PROPN
fcis-5414	162	12	98	98	NUM
fcis-5414	162	13	.	.	PUNCT
fcis-5414	163	1	at	at	ADP
fcis-5414	163	2	this	this	DET
fcis-5414	163	3	point	point	NOUN
fcis-5414	163	4	we	we	PRON
fcis-5414	163	5	can	can	AUX
fcis-5414	163	6	run	run	VERB
fcis-5414	163	7	the	the	DET
fcis-5414	163	8	predict.py	predict.py	PROPN
fcis-5414	163	9	file	file	NOUN
fcis-5414	163	10	for	for	ADP
fcis-5414	163	11	garbage	garbage	NOUN
fcis-5414	163	12	detection	detection	NOUN
fcis-5414	163	13	.	.	PUNCT
fcis-5414	164	1	we	we	PRON
fcis-5414	164	2	enter	enter	VERB
fcis-5414	164	3	in	in	ADP
fcis-5414	164	4	the	the	DET
fcis-5414	164	5	terminal	terminal	NOUN
fcis-5414	164	6	:	:	PUNCT
fcis-5414	164	7	python3	python3	PROPN
fcis-5414	164	8	predict.py	predict.py	PRON
fcis-5414	164	9	then	then	ADV
fcis-5414	164	10	enter	enter	VERB
fcis-5414	164	11	the	the	DET
fcis-5414	164	12	image	image	NOUN
fcis-5414	164	13	path	path	NOUN
fcis-5414	164	14	:	:	PUNCT
fcis-5414	164	15	img	img	VERB
fcis-5414	164	16	/photo512/00000193.jpg	/photo512/00000193.jpg	PUNCT
fcis-5414	164	17	、	、	NOUN
fcis-5414	164	18	the	the	DET
fcis-5414	164	19	result	result	NOUN
fcis-5414	164	20	is	be	AUX
fcis-5414	164	21	as	as	SCONJ
fcis-5414	164	22	follows	follow	VERB
fcis-5414	164	23	:	:	PUNCT
fcis-5414	164	24	other	other	ADJ
fcis-5414	164	25	predictions	prediction	NOUN
fcis-5414	164	26	:	:	PUNCT
fcis-5414	164	27	4	4	X
fcis-5414	164	28	.	.	X
fcis-5414	164	29	summarize	summarize	VERB
fcis-5414	164	30	figure	figure	NOUN
fcis-5414	164	31	1	1	NUM
fcis-5414	164	32	.	.	PUNCT
fcis-5414	165	1	average	average	ADJ
fcis-5414	165	2	precision	precision	NOUN
fcis-5414	165	3	m	m	VERB
fcis-5414	165	4	ap	ap	NOUN
fcis-5414	165	5	of	of	ADP
fcis-5414	165	6	this	this	DET
fcis-5414	165	7	garbage	garbage	NOUN
fcis-5414	165	8	detection	detection	NOUN
fcis-5414	165	9	is	be	AUX
fcis-5414	165	10	0.58811	0.58811	NUM
fcis-5414	165	11	,	,	PUNCT
fcis-5414	165	12	which	which	PRON
fcis-5414	165	13	is	be	AUX
fcis-5414	165	14	still	still	ADV
fcis-5414	165	15	slightly	slightly	ADV
fcis-5414	165	16	insufficient	insufficient	ADJ
fcis-5414	165	17	compared	compare	VERB
fcis-5414	165	18	with	with	ADP
fcis-5414	165	19	the	the	DET
fcis-5414	165	20	0.78	0.78	NUM
fcis-5414	165	21	of	of	ADP
fcis-5414	165	22	voc	voc	NOUN
fcis-5414	165	23	07	07	NUM
fcis-5414	165	24	+	+	NOUN
fcis-5414	165	25	12	12	NUM
fcis-5414	165	26	trained	train	VERB
fcis-5414	165	27	by	by	ADP
fcis-5414	165	28	this	this	DET
fcis-5414	165	29	network	network	NOUN
fcis-5414	165	30	.	.	PUNCT
fcis-5414	166	1	i	i	PRON
fcis-5414	166	2	have	have	AUX
fcis-5414	166	3	summarized	summarize	VERB
fcis-5414	166	4	several	several	ADJ
fcis-5414	166	5	reasons	reason	NOUN
fcis-5414	166	6	.	.	PUNCT
fcis-5414	167	1	first	first	ADV
fcis-5414	167	2	,	,	PUNCT
fcis-5414	167	3	the	the	DET
fcis-5414	167	4	number	number	NOUN
fcis-5414	167	5	of	of	ADP
fcis-5414	167	6	training	training	NOUN
fcis-5414	167	7	sets	set	NOUN
fcis-5414	167	8	is	be	AUX
fcis-5414	167	9	too	too	ADV
fcis-5414	167	10	small	small	ADJ
fcis-5414	167	11	.	.	PUNCT
fcis-5414	168	1	the	the	DET
fcis-5414	168	2	training	training	NOUN
fcis-5414	168	3	set	set	NOUN
fcis-5414	168	4	i	i	PRON
fcis-5414	168	5	chose	choose	VERB
fcis-5414	168	6	this	this	DET
fcis-5414	168	7	time	time	NOUN
fcis-5414	168	8	has	have	VERB
fcis-5414	168	9	only	only	ADV
fcis-5414	168	10	500	500	NUM
fcis-5414	168	11	pictures	picture	NOUN
fcis-5414	168	12	,	,	PUNCT
fcis-5414	168	13	which	which	PRON
fcis-5414	168	14	is	be	AUX
fcis-5414	168	15	too	too	ADV
fcis-5414	168	16	small	small	ADJ
fcis-5414	168	17	compared	compare	VERB
fcis-5414	168	18	to	to	ADP
fcis-5414	168	19	the	the	DET
fcis-5414	168	20	9000	9000	NUM
fcis-5414	168	21	pictures	picture	NOUN
fcis-5414	168	22	of	of	ADP
fcis-5414	168	23	voc	voc	NOUN
fcis-5414	168	24	07	07	NUM
fcis-5414	168	25	.	.	PUNCT
fcis-5414	169	1	too	too	ADV
fcis-5414	169	2	few	few	ADJ
fcis-5414	169	3	training	training	NOUN
fcis-5414	169	4	sets	set	NOUN
fcis-5414	169	5	may	may	AUX
fcis-5414	169	6	it	it	PRON
fcis-5414	169	7	lead	lead	VERB
fcis-5414	169	8	to	to	ADP
fcis-5414	169	9	incomplete	incomplete	ADJ
fcis-5414	169	10	network	network	NOUN
fcis-5414	169	11	training	training	NOUN
fcis-5414	169	12	.	.	PUNCT
fcis-5414	170	1	if	if	SCONJ
fcis-5414	170	2	the	the	DET
fcis-5414	170	3	amount	amount	NOUN
fcis-5414	170	4	of	of	ADP
fcis-5414	170	5	training	training	NOUN
fcis-5414	170	6	set	set	NOUN
fcis-5414	170	7	is	be	AUX
fcis-5414	170	8	increased	increase	VERB
fcis-5414	170	9	,	,	PUNCT
fcis-5414	170	10	map	map	NOUN
fcis-5414	170	11	may	may	AUX
fcis-5414	170	12	be	be	AUX
fcis-5414	170	13	improved	improve	VERB
fcis-5414	170	14	.	.	PUNCT
fcis-5414	171	1	and	and	CCONJ
fcis-5414	171	2	i	i	PRON
fcis-5414	171	3	manually	manually	ADV
fcis-5414	171	4	mark	mark	VERB
fcis-5414	171	5	the	the	DET
fcis-5414	171	6	pictures	picture	NOUN
fcis-5414	171	7	.	.	PUNCT
fcis-5414	172	1	if	if	SCONJ
fcis-5414	172	2	i	i	PRON
fcis-5414	172	3	want	want	VERB
fcis-5414	172	4	to	to	PART
fcis-5414	172	5	mark	mark	VERB
fcis-5414	172	6	1500	1500	NUM
fcis-5414	172	7	pictures	picture	NOUN
fcis-5414	172	8	in	in	ADP
fcis-5414	172	9	the	the	DET
fcis-5414	172	10	taco	taco	NOUN
fcis-5414	172	11	dataset	dataset	NOUN
fcis-5414	172	12	,	,	PUNCT
fcis-5414	172	13	the	the	DET
fcis-5414	172	14	workload	workload	NOUN
fcis-5414	172	15	is	be	AUX
fcis-5414	172	16	a	a	DET
fcis-5414	172	17	bit	bit	NOUN
fcis-5414	172	18	heavy	heavy	ADJ
fcis-5414	172	19	,	,	PUNCT
fcis-5414	172	20	so	so	SCONJ
fcis-5414	172	21	i	i	PRON
fcis-5414	172	22	can	can	AUX
fcis-5414	172	23	improve	improve	VERB
fcis-5414	172	24	the	the	DET
fcis-5414	172	25	labeling	labeling	NOUN
fcis-5414	172	26	method	method	NOUN
fcis-5414	172	27	and	and	CCONJ
fcis-5414	172	28	use	use	VERB
fcis-5414	172	29	some	some	DET
fcis-5414	172	30	methods	method	NOUN
fcis-5414	172	31	of	of	ADP
fcis-5414	172	32	image	image	NOUN
fcis-5414	172	33	processing	processing	NOUN
fcis-5414	172	34	to	to	PART
fcis-5414	172	35	reduce	reduce	VERB
fcis-5414	172	36	the	the	DET
fcis-5414	172	37	workload	workload	NOUN
fcis-5414	172	38	.	.	PUNCT
fcis-5414	173	1	compared	compare	VERB
fcis-5414	173	2	with	with	ADP
fcis-5414	173	3	the	the	DET
fcis-5414	173	4	r	r	NOUN
fcis-5414	173	5	cnn	cnn	PROPN
fcis-5414	173	6	series	series	NOUN
fcis-5414	173	7	and	and	CCONJ
fcis-5414	173	8	the	the	DET
fcis-5414	173	9	yolo	yolo	ADJ
fcis-5414	173	10	series	series	NOUN
fcis-5414	173	11	,	,	PUNCT
fcis-5414	173	12	the	the	DET
fcis-5414	173	13	ma	ma	PROPN
fcis-5414	173	14	p	p	PROPN
fcis-5414	173	15	of	of	ADP
fcis-5414	173	16	the	the	DET
fcis-5414	173	17	ssd	ssd	NOUN
fcis-5414	173	18	still	still	ADV
fcis-5414	173	19	has	have	VERB
fcis-5414	173	20	a	a	DET
fcis-5414	173	21	gap	gap	NOUN
fcis-5414	173	22	.	.	PUNCT
fcis-5414	174	1	it	it	PRON
fcis-5414	174	2	can	can	AUX
fcis-5414	174	3	be	be	AUX
fcis-5414	174	4	seen	see	VERB
fcis-5414	174	5	from	from	ADP
fcis-5414	174	6	the	the	DET
fcis-5414	174	7	figure	figure	NOUN
fcis-5414	174	8	that	that	SCONJ
fcis-5414	174	9	the	the	DET
fcis-5414	174	10	ssd	ssd	PROPN
fcis-5414	174	11	series	series	NOUN
fcis-5414	174	12	still	still	ADV
fcis-5414	174	13	has	have	VERB
fcis-5414	174	14	room	room	NOUN
fcis-5414	174	15	for	for	ADP
fcis-5414	174	16	improvement	improvement	NOUN
fcis-5414	174	17	.	.	PUNCT
fcis-5414	175	1	also	also	ADV
fcis-5414	175	2	,	,	PUNCT
fcis-5414	175	3	due	due	ADP
fcis-5414	175	4	to	to	ADP
fcis-5414	175	5	the	the	DET
fcis-5414	175	6	limitation	limitation	NOUN
fcis-5414	175	7	of	of	ADP
fcis-5414	175	8	the	the	DET
fcis-5414	175	9	machine	machine	NOUN
fcis-5414	175	10	,	,	PUNCT
fcis-5414	175	11	i	i	PRON
fcis-5414	175	12	ca	can	AUX
fcis-5414	175	13	n't	not	PART
fcis-5414	175	14	use	use	VERB
fcis-5414	175	15	pictures	picture	NOUN
fcis-5414	175	16	with	with	ADP
fcis-5414	175	17	more	more	ADJ
fcis-5414	175	18	pixels	pixel	NOUN
fcis-5414	175	19	for	for	ADP
fcis-5414	175	20	training	training	NOUN
fcis-5414	175	21	.	.	PUNCT
fcis-5414	176	1	when	when	SCONJ
fcis-5414	176	2	the	the	DET
fcis-5414	176	3	batch	batch	NOUN
fcis-5414	176	4	size	size	NOUN
fcis-5414	176	5	is	be	AUX
fcis-5414	176	6	16	16	NUM
fcis-5414	176	7	,	,	PUNCT
fcis-5414	176	8	my	my	PRON
fcis-5414	176	9	computer	computer	NOUN
fcis-5414	176	10	will	will	AUX
fcis-5414	176	11	report	report	VERB
fcis-5414	176	12	an	an	DET
fcis-5414	176	13	error	error	NOUN
fcis-5414	176	14	because	because	SCONJ
fcis-5414	176	15	of	of	ADP
fcis-5414	176	16	insufficient	insufficient	ADJ
fcis-5414	176	17	video	video	NOUN
fcis-5414	176	18	memory	memory	NOUN
fcis-5414	176	19	.	.	PUNCT
fcis-5414	177	1	therefore	therefore	ADV
fcis-5414	177	2	,	,	PUNCT
fcis-5414	177	3	the	the	DET
fcis-5414	177	4	next	next	ADJ
fcis-5414	177	5	step	step	NOUN
fcis-5414	177	6	to	to	PART
fcis-5414	177	7	improve	improve	VERB
fcis-5414	177	8	this	this	DET
fcis-5414	177	9	network	network	NOUN
fcis-5414	177	10	is	be	AUX
fcis-5414	177	11	to	to	PART
fcis-5414	177	12	increase	increase	VERB
fcis-5414	177	13	the	the	DET
fcis-5414	177	14	quantity	quantity	NOUN
fcis-5414	177	15	and	and	CCONJ
fcis-5414	177	16	quality	quality	NOUN
fcis-5414	177	17	of	of	ADP
fcis-5414	177	18	the	the	DET
fcis-5414	177	19	data	datum	NOUN
fcis-5414	177	20	set	set	VERB
fcis-5414	177	21	,	,	PUNCT
fcis-5414	177	22	provide	provide	VERB
fcis-5414	177	23	more	more	ADJ
fcis-5414	177	24	data	datum	NOUN
fcis-5414	177	25	for	for	ADP
fcis-5414	177	26	network	network	NOUN
fcis-5414	177	27	training	training	NOUN
fcis-5414	177	28	,	,	PUNCT
fcis-5414	177	29	and	and	CCONJ
fcis-5414	177	30	use	use	VERB
fcis-5414	177	31	cloud	cloud	NOUN
fcis-5414	177	32	gpu	gpu	NOUN
fcis-5414	177	33	to	to	PART
fcis-5414	177	34	train	train	VERB
fcis-5414	177	35	this	this	DET
fcis-5414	177	36	network	network	NOUN
fcis-5414	177	37	,	,	PUNCT
fcis-5414	177	38	and	and	CCONJ
fcis-5414	177	39	use	use	VERB
fcis-5414	177	40	pictures	picture	NOUN
fcis-5414	177	41	with	with	ADP
fcis-5414	177	42	more	more	ADJ
fcis-5414	177	43	pixels	pixel	NOUN
fcis-5414	177	44	for	for	ADP
fcis-5414	177	45	training	training	NOUN
fcis-5414	177	46	.	.	PUNCT
fcis-5414	178	1	references	reference	NOUN
fcis-5414	178	2	[	[	X
fcis-5414	178	3	1	1	NUM
fcis-5414	178	4	]	]	X
fcis-5414	178	5	hochreiter	hochreiter	PROPN
fcis-5414	178	6	s	s	PROPN
fcis-5414	178	7	,	,	PUNCT
fcis-5414	178	8	schmidhuber	schmidhuber	PROPN
fcis-5414	178	9	j.	j.	PROPN
fcis-5414	178	10	long	long	PROPN
fcis-5414	178	11	short	short	ADJ
fcis-5414	178	12	-	-	PUNCT
fcis-5414	178	13	term	term	NOUN
fcis-5414	178	14	memory[j	memory[j	NOUN
fcis-5414	178	15	]	]	PUNCT
fcis-5414	178	16	.	.	PUNCT
fcis-5414	179	1	neural	neural	ADJ
fcis-5414	179	2	computation,1997,9(8):1735	computation,1997,9(8):1735	NOUN
fcis-5414	179	3	-	-	PUNCT
fcis-5414	179	4	1780	1780	NUM
fcis-5414	179	5	.	.	PUNCT
fcis-5414	180	1	[	[	X
fcis-5414	180	2	2	2	NUM
fcis-5414	180	3	]	]	PUNCT
fcis-5414	180	4	chung	chung	PROPN
fcis-5414	180	5	j	j	PROPN
fcis-5414	180	6	,	,	PUNCT
fcis-5414	180	7	gulcehre	gulcehre	PROPN
fcis-5414	180	8	c	c	PROPN
fcis-5414	180	9	,	,	PUNCT
fcis-5414	180	10	cho	cho	PROPN
fcis-5414	180	11	k	k	PROPN
fcis-5414	180	12	h	h	PROPN
fcis-5414	180	13	,	,	PUNCT
fcis-5414	180	14	et	et	PROPN
fcis-5414	180	15	al	al	PROPN
fcis-5414	180	16	.	.	PROPN
fcis-5414	181	1	empirical	empirical	ADJ
fcis-5414	181	2	evaluation	evaluation	NOUN
fcis-5414	181	3	of	of	ADP
fcis-5414	181	4	gated	gate	VERB
fcis-5414	181	5	recurrent	recurrent	ADJ
fcis-5414	181	6	neural	neural	ADJ
fcis-5414	181	7	networks	network	NOUN
fcis-5414	181	8	on	on	ADP
fcis-5414	181	9	sequence	sequence	NOUN
fcis-5414	181	10	modeling[j	modeling[j	NOUN
fcis-5414	181	11	]	]	PUNCT
fcis-5414	181	12	.	.	PUNCT
fcis-5414	182	1	arxiv	arxiv	PROPN
fcis-5414	182	2	preprint	preprint	PROPN
fcis-5414	182	3	arxiv:1412	arxiv:1412	NOUN
fcis-5414	182	4	.	.	PUNCT
fcis-5414	183	1	3555,2014	3555,2014	X
fcis-5414	183	2	.	.	PUNCT
fcis-5414	184	1	[	[	X
fcis-5414	184	2	3	3	X
fcis-5414	184	3	]	]	X
fcis-5414	184	4	mnih	mnih	PROPN
fcis-5414	184	5	v	v	PROPN
fcis-5414	184	6	,	,	PUNCT
fcis-5414	184	7	kavukcuoglu	kavukcuoglu	PROPN
fcis-5414	184	8	k	k	PROPN
fcis-5414	184	9	,	,	PUNCT
fcis-5414	184	10	silver	silver	NOUN
fcis-5414	184	11	d	d	PROPN
fcis-5414	184	12	,	,	PUNCT
fcis-5414	184	13	et	et	PROPN
fcis-5414	184	14	al	al	PROPN
fcis-5414	184	15	.	.	PUNCT
fcis-5414	184	16	human	human	ADJ
fcis-5414	184	17	-	-	PUNCT
fcis-5414	184	18	level	level	NOUN
fcis-5414	184	19	control	control	NOUN
fcis-5414	184	20	through	through	ADP
fcis-5414	184	21	deep	deep	ADJ
fcis-5414	184	22	reinforcement	reinforcement	NOUN
fcis-5414	184	23	learning	learning	NOUN
fcis-5414	185	1	[	[	X
fcis-5414	185	2	j	j	X
fcis-5414	185	3	]	]	X
fcis-5414	185	4	.	.	PUNCT
fcis-5414	186	1	nature	nature	NOUN
fcis-5414	186	2	,	,	PUNCT
fcis-5414	186	3	2015	2015	NUM
fcis-5414	186	4	,	,	PUNCT
fcis-5414	186	5	518	518	NUM
fcis-5414	186	6	(	(	PUNCT
fcis-5414	186	7	7540):529	7540):529	NOUN
fcis-5414	186	8	-	-	SYM
fcis-5414	186	9	533	533	NUM
fcis-5414	186	10	.	.	PUNCT
fcis-5414	187	1	[	[	X
fcis-5414	187	2	4	4	X
fcis-5414	187	3	]	]	X
fcis-5414	187	4	weston	weston	PROPN
fcis-5414	187	5	j	j	PROPN
fcis-5414	187	6	,	,	PUNCT
fcis-5414	187	7	chopra	chopra	PROPN
fcis-5414	187	8	s	s	PROPN
fcis-5414	187	9	,	,	PUNCT
fcis-5414	187	10	bordes	bordes	PROPN
fcis-5414	187	11	a.	a.	NOUN
fcis-5414	187	12	memory	memory	NOUN
fcis-5414	187	13	networks[j	networks[j	PROPN
fcis-5414	187	14	]	]	X
fcis-5414	187	15	.	.	PUNCT
fcis-5414	188	1	arxiv	arxiv	PROPN
fcis-5414	188	2	preprint	preprint	VERB
fcis-5414	188	3	arxiv:1410	arxiv:1410	ADJ
fcis-5414	188	4	.	.	PUNCT
fcis-5414	189	1	3916,2014	3916,2014	NOUN
fcis-5414	189	2	.	.	PUNCT
fcis-5414	190	1	[	[	X
fcis-5414	190	2	5	5	X
fcis-5414	190	3	]	]	PUNCT
fcis-5414	190	4	[	[	X
fcis-5414	190	5	sukhbaatar	sukhbaatar	NOUN
fcis-5414	190	6	s	s	PROPN
fcis-5414	190	7	,	,	PUNCT
fcis-5414	190	8	weston	weston	PROPN
fcis-5414	190	9	j	j	PROPN
fcis-5414	190	10	,	,	PUNCT
fcis-5414	190	11	fergus	fergus	PROPN
fcis-5414	190	12	r.	r.	PROPN
fcis-5414	190	13	end	end	PROPN
fcis-5414	190	14	-	-	PUNCT
fcis-5414	190	15	to	to	ADP
fcis-5414	190	16	-	-	PUNCT
fcis-5414	190	17	end	end	NOUN
fcis-5414	190	18	memory	memory	NOUN
fcis-5414	190	19	networks	network	NOUN
fcis-5414	190	20	[	[	X
fcis-5414	190	21	c	c	X
fcis-5414	190	22	]	]	X
fcis-5414	190	23	/	/	SYM
fcis-5414	190	24	/	/	SYM
fcis-5414	190	25	advances	advance	NOUN
fcis-5414	190	26	in	in	ADP
fcis-5414	190	27	neural	neural	ADJ
fcis-5414	190	28	information	information	NOUN
fcis-5414	190	29	processing	processing	NOUN
fcis-5414	190	30	systems	system	NOUN
fcis-5414	190	31	(	(	PUNCT
fcis-5414	190	32	nips),2015:2440	nips),2015:2440	NOUN
fcis-5414	190	33	-	-	NOUN
fcis-5414	190	34	2448	2448	NUM
fcis-5414	190	35	[	[	X
fcis-5414	190	36	6	6	NUM
fcis-5414	190	37	]	]	X
fcis-5414	190	38	pritzel	pritzel	NOUN
fcis-5414	190	39	a	a	X
fcis-5414	190	40	,	,	PUNCT
fcis-5414	190	41	uria	uria	PROPN
fcis-5414	190	42	b	b	PROPN
fcis-5414	190	43	,	,	PUNCT
fcis-5414	190	44	srinivasan	srinivasan	NOUN
fcis-5414	190	45	s	s	PROPN
fcis-5414	190	46	,	,	PUNCT
fcis-5414	190	47	et	et	PROPN
fcis-5414	190	48	al	al	PROPN
fcis-5414	190	49	.	.	PROPN
fcis-5414	190	50	neural	neural	PROPN
fcis-5414	190	51	episodic	episodic	PROPN
fcis-5414	190	52	control[c	control[c	PROPN
fcis-5414	190	53	]	]	X
fcis-5414	190	54	/	/	SYM
fcis-5414	190	55	/	/	SYM
fcis-5414	190	56	international	international	ADJ
fcis-5414	190	57	conference	conference	NOUN
fcis-5414	190	58	on	on	ADP
fcis-5414	190	59	machine	machine	NOUN
fcis-5414	190	60	learning(icml),2015	learning(icml),2015	PROPN
fcis-5414	190	61	.	.	PUNCT
fcis-5414	191	1	[	[	X
fcis-5414	191	2	7	7	X
fcis-5414	191	3	]	]	X
fcis-5414	191	4	graves	grave	VERB
fcis-5414	191	5	a	a	PRON
fcis-5414	191	6	,	,	PUNCT
fcis-5414	191	7	wayne	wayne	PROPN
fcis-5414	191	8	g	g	PROPN
fcis-5414	191	9	,	,	PUNCT
fcis-5414	191	10	danihelka	danihelka	PROPN
fcis-5414	191	11	i.	i.	PROPN
fcis-5414	191	12	neural	neural	PROPN
fcis-5414	191	13	turing	ture	VERB
fcis-5414	191	14	machines[j	machines[j	PROPN
fcis-5414	191	15	]	]	PUNCT
fcis-5414	191	16	.	.	PUNCT
fcis-5414	192	1	arxiv	arxiv	PROPN
fcis-5414	192	2	preprint	preprint	VERB
fcis-5414	192	3	arxiv:1410	arxiv:1410	NOUN
fcis-5414	192	4	.	.	PUNCT
fcis-5414	193	1	5401,2014	5401,2014	X
fcis-5414	193	2	.	.	PUNCT
fcis-5414	194	1	[	[	X
fcis-5414	194	2	8	8	X
fcis-5414	194	3	]	]	X
fcis-5414	194	4	graves	grave	VERB
fcis-5414	194	5	a	a	PRON
fcis-5414	194	6	,	,	PUNCT
fcis-5414	194	7	wayne	wayne	PROPN
fcis-5414	194	8	g	g	PROPN
fcis-5414	194	9	,	,	PUNCT
fcis-5414	194	10	reynolds	reynolds	PROPN
fcis-5414	194	11	m	m	PROPN
fcis-5414	194	12	,	,	PUNCT
fcis-5414	194	13	et	et	PROPN
fcis-5414	194	14	al	al	PROPN
fcis-5414	194	15	.	.	PROPN
fcis-5414	194	16	hybrid	hybrid	ADJ
fcis-5414	194	17	computing	computing	NOUN
fcis-5414	194	18	using	use	VERB
fcis-5414	194	19	a	a	DET
fcis-5414	194	20	neural	neural	ADJ
fcis-5414	194	21	network	network	NOUN
fcis-5414	194	22	with	with	ADP
fcis-5414	194	23	dynamic	dynamic	ADJ
fcis-5414	194	24	external	external	ADJ
fcis-5414	194	25	memory	memory	NOUN
fcis-5414	194	26	[	[	PUNCT
fcis-5414	194	27	j	j	NOUN
fcis-5414	194	28	]	]	X
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fcis-5414	195	2	,	,	PUNCT
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fcis-5414	196	9	,	,	PUNCT
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fcis-5414	196	12	,	,	PUNCT
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fcis-5414	196	14	r.	r.	PROPN
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fcis-5414	196	18	-	-	PUNCT
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fcis-5414	197	19	,	,	PUNCT
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fcis-5414	197	22	is	be	AUX
fcis-5414	197	23	all	all	PRON
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fcis-5414	197	31	information	information	NOUN
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fcis-5414	197	33	systems	system	NOUN
fcis-5414	197	34	.	.	PUNCT
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fcis-5414	198	2	,	,	PUNCT
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fcis-5414	198	4	,	,	PUNCT
fcis-5414	198	5	2017	2017	NUM
fcis-5414	198	6	:	:	PUNCT
fcis-5414	198	7	5998	5998	NUM
fcis-5414	198	8	-	-	SYM
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fcis-5414	198	10	[	[	X
fcis-5414	198	11	11	11	NUM
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fcis-5414	198	13	lin	lin	PROPN
fcis-5414	198	14	l	l	PROPN
fcis-5414	198	15	j.	j.	PROPN
fcis-5414	198	16	self	self	NOUN
fcis-5414	198	17	-	-	PUNCT
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fcis-5414	198	19	reactive	reactive	ADJ
fcis-5414	198	20	agents	agent	NOUN
fcis-5414	198	21	based	base	VERB
fcis-5414	198	22	on	on	ADP
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fcis-5414	198	25	,	,	PUNCT
fcis-5414	198	26	planning	planning	NOUN
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fcis-5414	198	29	[	[	PUNCT
fcis-5414	198	30	j	j	X
fcis-5414	198	31	]	]	X
fcis-5414	198	32	.	.	PUNCT
fcis-5414	199	1	machine	machine	PROPN
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fcis-5414	199	3	-	-	PUNCT
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fcis-5414	199	5	.	.	PUNCT
fcis-5414	200	1	[	[	X
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fcis-5414	200	3	]	]	PUNCT
fcis-5414	200	4	schaul	schaul	PROPN
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fcis-5414	200	6	,	,	PUNCT
fcis-5414	200	7	quan	quan	PROPN
fcis-5414	200	8	j	j	PROPN
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fcis-5414	201	2	,	,	PUNCT
fcis-5414	201	3	et	et	PROPN
fcis-5414	201	4	al	al	PROPN
fcis-5414	201	5	.	.	PROPN
fcis-5414	201	6	prioritized	prioritize	VERB
fcis-5414	201	7	experience	experience	NOUN
fcis-5414	201	8	replay	replay	NOUN
fcis-5414	201	9	[	[	X
fcis-5414	201	10	c	c	X
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fcis-5414	201	12	/	/	SYM
fcis-5414	201	13	/	/	SYM
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fcis-5414	201	16	on	on	ADP
fcis-5414	201	17	learning	learn	VERB
fcis-5414	201	18	representations	representation	NOUN
fcis-5414	201	19	(	(	PUNCT
fcis-5414	201	20	iclr),2016	iclr),2016	PROPN
fcis-5414	201	21	.	.	PUNCT