id	sid	tid	token	lemma	pos
fcis-31597	1	1	frontiers	frontier	NOUN
fcis-31597	1	2	in	in	ADP
fcis-31597	1	3	computing	computing	NOUN
fcis-31597	1	4	and	and	CCONJ
fcis-31597	1	5	intelligent	intelligent	ADJ
fcis-31597	1	6	systems	system	NOUN
fcis-31597	1	7	issn	issn	VERB
fcis-31597	1	8	:	:	PUNCT
fcis-31597	1	9	2832	2832	NUM
fcis-31597	1	10	-	-	SYM
fcis-31597	1	11	6024	6024	NUM
fcis-31597	1	12	|	|	NOUN
fcis-31597	1	13	vol	vol	NOUN
fcis-31597	1	14	.	.	PROPN
fcis-31597	2	1	13	13	NUM
fcis-31597	2	2	,	,	PUNCT
fcis-31597	2	3	no	no	INTJ
fcis-31597	2	4	.	.	NOUN
fcis-31597	2	5	2	2	NUM
fcis-31597	2	6	,	,	PUNCT
fcis-31597	2	7	2025	2025	NUM
fcis-31597	2	8	28	28	NUM
fcis-31597	2	9	yolo‐alignrank	yolo‐alignrank	NOUN
fcis-31597	2	10	:	:	PUNCT
fcis-31597	2	11	cross‐scale	cross‐scale	NOUN
fcis-31597	2	12	deformable	deformable	ADJ
fcis-31597	2	13	head	head	NOUN
fcis-31597	2	14	and	and	CCONJ
fcis-31597	2	15	rank‐consistent	rank‐consistent	ADJ
fcis-31597	2	16	loss	loss	NOUN
fcis-31597	2	17	for	for	ADP
fcis-31597	2	18	one‐stage	one‐stage	ADJ
fcis-31597	2	19	object	object	NOUN
fcis-31597	2	20	detection	detection	NOUN
fcis-31597	2	21	run	run	VERB
fcis-31597	2	22	li	li	PROPN
fcis-31597	2	23	,	,	PUNCT
fcis-31597	2	24	fangjun	fangjun	PROPN
fcis-31597	2	25	liu	liu	PROPN
fcis-31597	2	26	*	*	PUNCT
fcis-31597	2	27	college	college	PROPN
fcis-31597	2	28	of	of	ADP
fcis-31597	2	29	artificial	artificial	ADJ
fcis-31597	2	30	intelligence	intelligence	NOUN
fcis-31597	2	31	,	,	PUNCT
fcis-31597	2	32	xinjiang	xinjiang	PROPN
fcis-31597	2	33	vocational	vocational	PROPN
fcis-31597	2	34	university	university	PROPN
fcis-31597	2	35	of	of	ADP
fcis-31597	2	36	technology	technology	PROPN
fcis-31597	2	37	,	,	PUNCT
fcis-31597	2	38	kashgar	kashgar	PROPN
fcis-31597	2	39	,	,	PUNCT
fcis-31597	2	40	xinjiang	xinjiang	PROPN
fcis-31597	2	41	,	,	PUNCT
fcis-31597	2	42	china	china	PROPN
fcis-31597	2	43	*	*	PUNCT
fcis-31597	2	44	corresponding	correspond	VERB
fcis-31597	2	45	author	author	NOUN
fcis-31597	2	46	:	:	PUNCT
fcis-31597	3	1	fangjun	fangjun	PROPN
fcis-31597	3	2	liu	liu	PROPN
fcis-31597	3	3	abstract	abstract	PROPN
fcis-31597	3	4	:	:	PUNCT
fcis-31597	3	5	single	single	ADJ
fcis-31597	3	6	-	-	PUNCT
fcis-31597	3	7	stage	stage	NOUN
fcis-31597	3	8	object	object	NOUN
fcis-31597	3	9	detectors	detector	NOUN
fcis-31597	3	10	dominate	dominate	VERB
fcis-31597	3	11	industrial	industrial	ADJ
fcis-31597	3	12	deployment	deployment	NOUN
fcis-31597	3	13	thanks	thank	NOUN
fcis-31597	3	14	to	to	ADP
fcis-31597	3	15	end	end	NOUN
fcis-31597	3	16	-	-	PUNCT
fcis-31597	3	17	to	to	ADP
fcis-31597	3	18	-	-	PUNCT
fcis-31597	3	19	end	end	NOUN
fcis-31597	3	20	simplicity	simplicity	NOUN
fcis-31597	3	21	and	and	CCONJ
fcis-31597	3	22	low	low	ADJ
fcis-31597	3	23	latency	latency	NOUN
fcis-31597	3	24	,	,	PUNCT
fcis-31597	3	25	yet	yet	CCONJ
fcis-31597	3	26	a	a	DET
fcis-31597	3	27	persistent	persistent	ADJ
fcis-31597	3	28	bottleneck	bottleneck	NOUN
fcis-31597	3	29	is	be	AUX
fcis-31597	3	30	the	the	DET
fcis-31597	3	31	misalignment	misalignment	NOUN
fcis-31597	3	32	between	between	ADP
fcis-31597	3	33	classification	classification	NOUN
fcis-31597	3	34	confidence	confidence	NOUN
fcis-31597	3	35	and	and	CCONJ
fcis-31597	3	36	localization	localization	NOUN
fcis-31597	3	37	quality	quality	NOUN
fcis-31597	3	38	.	.	PUNCT
fcis-31597	4	1	because	because	SCONJ
fcis-31597	4	2	candidate	candidate	NOUN
fcis-31597	4	3	ordering	ordering	NOUN
fcis-31597	4	4	before	before	ADV
fcis-31597	4	5	and	and	CCONJ
fcis-31597	4	6	after	after	SCONJ
fcis-31597	4	7	nms	nms	NOUN
fcis-31597	4	8	is	be	AUX
fcis-31597	4	9	largely	largely	ADV
fcis-31597	4	10	driven	drive	VERB
fcis-31597	4	11	by	by	ADP
fcis-31597	4	12	classification	classification	NOUN
fcis-31597	4	13	scores	score	NOUN
fcis-31597	4	14	,	,	PUNCT
fcis-31597	4	15	high	high	ADJ
fcis-31597	4	16	-	-	PUNCT
fcis-31597	4	17	iou	iou	NOUN
fcis-31597	4	18	predictions	prediction	NOUN
fcis-31597	4	19	are	be	AUX
fcis-31597	4	20	often	often	ADV
fcis-31597	4	21	suppressed	suppress	VERB
fcis-31597	4	22	while	while	SCONJ
fcis-31597	4	23	poorly	poorly	ADV
fcis-31597	4	24	localized	localized	ADJ
fcis-31597	4	25	but	but	CCONJ
fcis-31597	4	26	high	high	ADJ
fcis-31597	4	27	-	-	PUNCT
fcis-31597	4	28	score	score	NOUN
fcis-31597	4	29	boxes	box	NOUN
fcis-31597	4	30	survive	survive	VERB
fcis-31597	4	31	.	.	PUNCT
fcis-31597	5	1	prior	prior	ADJ
fcis-31597	5	2	quality	quality	NOUN
fcis-31597	5	3	-	-	PUNCT
fcis-31597	5	4	aware	aware	ADJ
fcis-31597	5	5	classification	classification	NOUN
fcis-31597	5	6	methods	method	NOUN
fcis-31597	5	7	partly	partly	ADV
fcis-31597	5	8	mitigate	mitigate	VERB
fcis-31597	5	9	this	this	DET
fcis-31597	5	10	issue	issue	NOUN
fcis-31597	5	11	,	,	PUNCT
fcis-31597	5	12	but	but	CCONJ
fcis-31597	5	13	stop	stop	VERB
fcis-31597	5	14	short	short	ADJ
fcis-31597	5	15	of	of	ADP
fcis-31597	5	16	a	a	DET
fcis-31597	5	17	systematic	systematic	ADJ
fcis-31597	5	18	solution	solution	NOUN
fcis-31597	5	19	that	that	PRON
fcis-31597	5	20	spans	span	VERB
fcis-31597	5	21	cross	cross	ADJ
fcis-31597	5	22	-	-	ADJ
fcis-31597	5	23	scale	scale	ADJ
fcis-31597	5	24	representation	representation	NOUN
fcis-31597	5	25	and	and	CCONJ
fcis-31597	5	26	ranking	ranking	NOUN
fcis-31597	5	27	consistency	consistency	NOUN
fcis-31597	5	28	.	.	PUNCT
fcis-31597	6	1	meanwhile	meanwhile	ADV
fcis-31597	6	2	,	,	PUNCT
fcis-31597	6	3	the	the	DET
fcis-31597	6	4	yolo	yolo	ADJ
fcis-31597	6	5	family	family	NOUN
fcis-31597	6	6	has	have	AUX
fcis-31597	6	7	advanced	advance	VERB
fcis-31597	6	8	with	with	ADP
fcis-31597	6	9	decoupled	decouple	VERB
fcis-31597	6	10	heads	head	NOUN
fcis-31597	6	11	,	,	PUNCT
fcis-31597	6	12	dynamic	dynamic	ADJ
fcis-31597	6	13	label	label	NOUN
fcis-31597	6	14	assignment	assignment	NOUN
fcis-31597	6	15	,	,	PUNCT
fcis-31597	6	16	and	and	CCONJ
fcis-31597	6	17	even	even	ADV
fcis-31597	6	18	nms	nms	NOUN
fcis-31597	6	19	-	-	PUNCT
fcis-31597	6	20	free	free	ADJ
fcis-31597	6	21	training	training	NOUN
fcis-31597	6	22	,	,	PUNCT
fcis-31597	6	23	creating	create	VERB
fcis-31597	6	24	an	an	DET
fcis-31597	6	25	opportunity	opportunity	NOUN
fcis-31597	6	26	to	to	PART
fcis-31597	6	27	unify	unify	VERB
fcis-31597	6	28	head	head	NOUN
fcis-31597	6	29	structure	structure	NOUN
fcis-31597	6	30	,	,	PUNCT
fcis-31597	6	31	quality	quality	NOUN
fcis-31597	6	32	learning	learning	NOUN
fcis-31597	6	33	,	,	PUNCT
fcis-31597	6	34	and	and	CCONJ
fcis-31597	6	35	ranking	ranking	ADJ
fcis-31597	6	36	constraints	constraint	NOUN
fcis-31597	6	37	.	.	PUNCT
fcis-31597	7	1	we	we	PRON
fcis-31597	7	2	propose	propose	VERB
fcis-31597	7	3	yolo	yolo	PROPN
fcis-31597	7	4	-	-	PUNCT
fcis-31597	7	5	alignrank	alignrank	NOUN
fcis-31597	7	6	,	,	PUNCT
fcis-31597	7	7	which	which	PRON
fcis-31597	7	8	integrates	integrate	VERB
fcis-31597	7	9	two	two	NUM
fcis-31597	7	10	complementary	complementary	ADJ
fcis-31597	7	11	innovations	innovation	NOUN
fcis-31597	7	12	.	.	PUNCT
fcis-31597	8	1	first	first	ADV
fcis-31597	8	2	,	,	PUNCT
fcis-31597	8	3	the	the	DET
fcis-31597	8	4	csd	csd	NOUN
fcis-31597	8	5	-	-	PUNCT
fcis-31597	8	6	head	head	NOUN
fcis-31597	8	7	(	(	PUNCT
fcis-31597	8	8	cross	cross	ADJ
fcis-31597	8	9	-	-	ADJ
fcis-31597	8	10	scale	scale	ADJ
fcis-31597	8	11	sparse	sparse	ADJ
fcis-31597	8	12	deformable	deformable	ADJ
fcis-31597	8	13	head	head	NOUN
fcis-31597	8	14	)	)	PUNCT
fcis-31597	8	15	augments	augment	VERB
fcis-31597	8	16	a	a	DET
fcis-31597	8	17	yolo	yolo	ADJ
fcis-31597	8	18	decoupled	decouple	VERB
fcis-31597	8	19	head	head	NOUN
fcis-31597	8	20	with	with	ADP
fcis-31597	8	21	cross	cross	ADJ
fcis-31597	8	22	-	-	ADJ
fcis-31597	8	23	scale	scale	ADJ
fcis-31597	8	24	sparse	sparse	ADJ
fcis-31597	8	25	deformable	deformable	ADJ
fcis-31597	8	26	sampling	sampling	NOUN
fcis-31597	8	27	and	and	CCONJ
fcis-31597	8	28	a	a	DET
fcis-31597	8	29	bidirectional	bidirectional	ADJ
fcis-31597	8	30	cross	cross	ADJ
fcis-31597	8	31	-	-	ADJ
fcis-31597	8	32	scale	scale	ADJ
fcis-31597	8	33	dynamic	dynamic	ADJ
fcis-31597	8	34	fusion	fusion	NOUN
fcis-31597	8	35	(	(	PUNCT
fcis-31597	8	36	bcdm	bcdm	NOUN
fcis-31597	8	37	)	)	PUNCT
fcis-31597	8	38	module	module	NOUN
fcis-31597	8	39	.	.	PUNCT
fcis-31597	9	1	a	a	DET
fcis-31597	9	2	small	small	ADJ
fcis-31597	9	3	set	set	NOUN
fcis-31597	9	4	of	of	ADP
fcis-31597	9	5	learnable	learnable	ADJ
fcis-31597	9	6	offsets	offset	NOUN
fcis-31597	9	7	samples	sample	NOUN
fcis-31597	9	8	key	key	ADJ
fcis-31597	9	9	points	point	NOUN
fcis-31597	9	10	from	from	ADP
fcis-31597	9	11	adjacent	adjacent	ADJ
fcis-31597	9	12	pyramid	pyramid	NOUN
fcis-31597	9	13	levels	level	NOUN
fcis-31597	9	14	,	,	PUNCT
fcis-31597	9	15	inheriting	inherit	VERB
fcis-31597	9	16	the	the	DET
fcis-31597	9	17	spatial	spatial	ADJ
fcis-31597	9	18	adaptivity	adaptivity	NOUN
fcis-31597	9	19	of	of	ADP
fcis-31597	9	20	dcnv2	dcnv2	PROPN
fcis-31597	9	21	and	and	CCONJ
fcis-31597	9	22	the	the	DET
fcis-31597	9	23	sparse	sparse	ADJ
fcis-31597	9	24	-	-	PUNCT
fcis-31597	9	25	attention	attention	NOUN
fcis-31597	9	26	spirit	spirit	NOUN
fcis-31597	9	27	of	of	ADP
fcis-31597	9	28	deformable	deformable	ADJ
fcis-31597	9	29	detr	detr	NOUN
fcis-31597	9	30	while	while	SCONJ
fcis-31597	9	31	preserving	preserve	VERB
fcis-31597	9	32	convolutional	convolutional	ADJ
fcis-31597	9	33	efficiency	efficiency	NOUN
fcis-31597	9	34	.	.	PUNCT
fcis-31597	10	1	bcdm	bcdm	PROPN
fcis-31597	10	2	then	then	ADV
fcis-31597	10	3	performs	perform	VERB
fcis-31597	10	4	gated	gate	VERB
fcis-31597	10	5	top	top	ADJ
fcis-31597	10	6	-	-	PUNCT
fcis-31597	10	7	down	down	NOUN
fcis-31597	10	8	and	and	CCONJ
fcis-31597	10	9	bottom	bottom	ADJ
fcis-31597	10	10	-	-	PUNCT
fcis-31597	10	11	up	up	ADP
fcis-31597	10	12	feature	feature	NOUN
fcis-31597	10	13	fusion	fusion	NOUN
fcis-31597	10	14	via	via	ADP
fcis-31597	10	15	lightweight	lightweight	ADJ
fcis-31597	10	16	dynamic	dynamic	ADJ
fcis-31597	10	17	convolution	convolution	NOUN
fcis-31597	10	18	,	,	PUNCT
fcis-31597	10	19	achieving	achieve	VERB
fcis-31597	10	20	real	real	ADJ
fcis-31597	10	21	-	-	PUNCT
fcis-31597	10	22	time	time	NOUN
fcis-31597	10	23	multi	multi	ADJ
fcis-31597	10	24	-	-	ADJ
fcis-31597	10	25	scale	scale	ADJ
fcis-31597	10	26	integration	integration	NOUN
fcis-31597	10	27	akin	akin	ADJ
fcis-31597	10	28	to	to	ADP
fcis-31597	10	29	pan	pan	PROPN
fcis-31597	10	30	/	/	SYM
fcis-31597	10	31	bifpn	bifpn	PROPN
fcis-31597	10	32	.	.	PUNCT
fcis-31597	11	1	second	second	ADJ
fcis-31597	11	2	,	,	PUNCT
fcis-31597	11	3	the	the	DET
fcis-31597	11	4	rcq	rcq	NOUN
fcis-31597	11	5	-	-	PUNCT
fcis-31597	11	6	loss	loss	NOUN
fcis-31597	11	7	(	(	PUNCT
fcis-31597	11	8	rank	rank	NOUN
fcis-31597	11	9	-	-	PUNCT
fcis-31597	11	10	consistent	consistent	ADJ
fcis-31597	11	11	quality	quality	NOUN
fcis-31597	11	12	loss	loss	NOUN
fcis-31597	11	13	)	)	PUNCT
fcis-31597	11	14	extends	extend	VERB
fcis-31597	11	15	quality	quality	NOUN
fcis-31597	11	16	-	-	PUNCT
fcis-31597	11	17	aware	aware	ADJ
fcis-31597	11	18	classification	classification	NOUN
fcis-31597	11	19	with	with	ADP
fcis-31597	11	20	intra	intra	ADJ
fcis-31597	11	21	-	-	ADJ
fcis-31597	11	22	set	set	ADJ
fcis-31597	11	23	list	list	NOUN
fcis-31597	11	24	alignment	alignment	NOUN
fcis-31597	11	25	and	and	CCONJ
fcis-31597	11	26	pairwise	pairwise	NOUN
fcis-31597	11	27	ranking	rank	VERB
fcis-31597	11	28	regularization	regularization	NOUN
fcis-31597	11	29	.	.	PUNCT
fcis-31597	12	1	for	for	ADP
fcis-31597	12	2	each	each	DET
fcis-31597	12	3	ground	ground	NOUN
fcis-31597	12	4	-	-	PUNCT
fcis-31597	12	5	truth	truth	NOUN
fcis-31597	12	6	object	object	NOUN
fcis-31597	12	7	g	g	NOUN
fcis-31597	12	8	with	with	ADP
fcis-31597	12	9	candidate	candidate	NOUN
fcis-31597	12	10	set	set	NOUN
fcis-31597	12	11	s	s	PART
fcis-31597	12	12	,	,	PUNCT
fcis-31597	12	13	rcq	rcq	NOUN
fcis-31597	12	14	-	-	PUNCT
fcis-31597	12	15	loss	loss	NOUN
fcis-31597	12	16	aligns	align	VERB
fcis-31597	12	17	the	the	DET
fcis-31597	12	18	distribution	distribution	NOUN
fcis-31597	12	19	of	of	ADP
fcis-31597	12	20	classification	classification	NOUN
fcis-31597	12	21	scores	score	NOUN
fcis-31597	12	22	with	with	ADP
fcis-31597	12	23	normalized	normalize	VERB
fcis-31597	12	24	localization	localization	NOUN
fcis-31597	12	25	qualities	quality	NOUN
fcis-31597	12	26	(	(	PUNCT
fcis-31597	12	27	proportional	proportional	ADJ
fcis-31597	12	28	to	to	PART
fcis-31597	12	29	iou	iou	VERB
fcis-31597	12	30	)	)	PUNCT
fcis-31597	12	31	within	within	ADP
fcis-31597	12	32	s	s	PRON
fcis-31597	12	33	and	and	CCONJ
fcis-31597	12	34	enforces	enforce	VERB
fcis-31597	12	35	matching	matching	NOUN
fcis-31597	12	36	order	order	NOUN
fcis-31597	12	37	.	.	PUNCT
fcis-31597	13	1	concretely	concretely	ADV
fcis-31597	13	2	,	,	PUNCT
fcis-31597	13	3	a	a	DET
fcis-31597	13	4	soft	soft	ADJ
fcis-31597	13	5	distribution	distribution	NOUN
fcis-31597	13	6	-	-	PUNCT
fcis-31597	13	7	alignment	alignment	NOUN
fcis-31597	13	8	term	term	NOUN
fcis-31597	13	9	(	(	PUNCT
fcis-31597	13	10	softmax	softmax	NOUN
fcis-31597	13	11	cross	cross	NOUN
fcis-31597	13	12	-	-	NOUN
fcis-31597	13	13	entropy	entropy	NOUN
fcis-31597	13	14	over	over	ADP
fcis-31597	13	15	s	s	PROPN
fcis-31597	13	16	)	)	PUNCT
fcis-31597	13	17	and	and	CCONJ
fcis-31597	13	18	a	a	DET
fcis-31597	13	19	pairwise	pairwise	NOUN
fcis-31597	13	20	hinge	hinge	NOUN
fcis-31597	13	21	term	term	NOUN
fcis-31597	13	22	ensure	ensure	VERB
fcis-31597	13	23	that	that	SCONJ
fcis-31597	13	24	high	high	ADJ
fcis-31597	13	25	-	-	PUNCT
fcis-31597	13	26	iou	iou	NOUN
fcis-31597	13	27	candidates	candidate	NOUN
fcis-31597	13	28	receive	receive	VERB
fcis-31597	13	29	higher	high	ADJ
fcis-31597	13	30	scores	score	NOUN
fcis-31597	13	31	than	than	ADP
fcis-31597	13	32	low	low	ADJ
fcis-31597	13	33	-	-	PUNCT
fcis-31597	13	34	iou	iou	NOUN
fcis-31597	13	35	ones	one	NOUN
fcis-31597	13	36	,	,	PUNCT
fcis-31597	13	37	enforcing	enforce	VERB
fcis-31597	13	38	consistency	consistency	NOUN
fcis-31597	13	39	in	in	ADP
fcis-31597	13	40	both	both	DET
fcis-31597	13	41	score	score	NOUN
fcis-31597	13	42	distribution	distribution	NOUN
fcis-31597	13	43	and	and	CCONJ
fcis-31597	13	44	sorted	sorted	ADJ
fcis-31597	13	45	order	order	NOUN
fcis-31597	13	46	.	.	PUNCT
fcis-31597	14	1	together	together	ADV
fcis-31597	14	2	,	,	PUNCT
fcis-31597	14	3	these	these	DET
fcis-31597	14	4	components	component	NOUN
fcis-31597	14	5	align	align	VERB
fcis-31597	14	6	confidence	confidence	NOUN
fcis-31597	14	7	with	with	ADP
fcis-31597	14	8	iou	iou	NOUN
fcis-31597	14	9	across	across	ADP
fcis-31597	14	10	scales	scale	NOUN
fcis-31597	14	11	and	and	CCONJ
fcis-31597	14	12	candidate	candidate	NOUN
fcis-31597	14	13	sets	set	NOUN
fcis-31597	14	14	,	,	PUNCT
fcis-31597	14	15	reduce	reduce	VERB
fcis-31597	14	16	preand	preand	NOUN
fcis-31597	14	17	post	post	ADJ
fcis-31597	14	18	-	-	ADJ
fcis-31597	14	19	nms	nms	ADJ
fcis-31597	14	20	mis	mis	NOUN
fcis-31597	14	21	-	-	PUNCT
fcis-31597	14	22	ranking	ranking	ADJ
fcis-31597	14	23	,	,	PUNCT
fcis-31597	14	24	and	and	CCONJ
fcis-31597	14	25	improve	improve	VERB
fcis-31597	14	26	multi	multi	ADJ
fcis-31597	14	27	-	-	ADJ
fcis-31597	14	28	scale	scale	ADJ
fcis-31597	14	29	detection	detection	NOUN
fcis-31597	14	30	accuracy	accuracy	NOUN
fcis-31597	14	31	while	while	SCONJ
fcis-31597	14	32	retaining	retain	VERB
fcis-31597	14	33	yolo	yolo	ADJ
fcis-31597	14	34	-	-	PUNCT
fcis-31597	14	35	level	level	NOUN
fcis-31597	14	36	real	real	ADJ
fcis-31597	14	37	-	-	PUNCT
fcis-31597	14	38	time	time	NOUN
fcis-31597	14	39	efficiency	efficiency	NOUN
fcis-31597	14	40	and	and	CCONJ
fcis-31597	14	41	end	end	NOUN
fcis-31597	14	42	-	-	PUNCT
fcis-31597	14	43	to	to	ADP
fcis-31597	14	44	-	-	PUNCT
fcis-31597	14	45	end	end	NOUN
fcis-31597	14	46	simplicity	simplicity	NOUN
fcis-31597	14	47	in	in	ADP
fcis-31597	14	48	practical	practical	ADJ
fcis-31597	14	49	deployments	deployment	NOUN
fcis-31597	14	50	.	.	PUNCT
fcis-31597	15	1	keywords	keyword	NOUN
fcis-31597	15	2	:	:	PUNCT
fcis-31597	15	3	object	object	VERB
fcis-31597	15	4	detection	detection	NOUN
fcis-31597	15	5	;	;	PUNCT
fcis-31597	15	6	deformable	deformable	ADJ
fcis-31597	15	7	convolution	convolution	NOUN
fcis-31597	15	8	;	;	PUNCT
fcis-31597	15	9	multi	multi	ADJ
fcis-31597	15	10	-	-	ADJ
fcis-31597	15	11	scale	scale	ADJ
fcis-31597	15	12	fusion	fusion	NOUN
fcis-31597	15	13	;	;	PUNCT
fcis-31597	15	14	quality	quality	NOUN
fcis-31597	15	15	-	-	PUNCT
fcis-31597	15	16	aware	aware	ADJ
fcis-31597	15	17	classification	classification	NOUN
fcis-31597	15	18	;	;	PUNCT
fcis-31597	15	19	nms	nms	NOUN
fcis-31597	15	20	-	-	PUNCT
fcis-31597	15	21	free	free	ADJ
fcis-31597	15	22	.	.	PUNCT
fcis-31597	16	1	1	1	X
fcis-31597	16	2	.	.	X
fcis-31597	16	3	introduction	introduction	NOUN
fcis-31597	16	4	1.1	1.1	NUM
fcis-31597	16	5	.	.	PUNCT
fcis-31597	17	1	background	background	NOUN
fcis-31597	17	2	and	and	CCONJ
fcis-31597	17	3	problem	problem	NOUN
fcis-31597	17	4	definition	definition	NOUN
fcis-31597	17	5	single	single	ADJ
fcis-31597	17	6	-	-	PUNCT
fcis-31597	17	7	stage	stage	NOUN
fcis-31597	17	8	detectors	detector	NOUN
fcis-31597	17	9	(	(	PUNCT
fcis-31597	17	10	e.g.	e.g.	ADV
fcis-31597	17	11	the	the	DET
fcis-31597	17	12	yolo	yolo	ADJ
fcis-31597	17	13	family	family	NOUN
fcis-31597	17	14	)	)	PUNCT
fcis-31597	18	1	[	[	X
fcis-31597	18	2	1]-[4	1]-[4	X
fcis-31597	18	3	]	]	X
fcis-31597	18	4	are	be	AUX
fcis-31597	18	5	prized	prize	VERB
fcis-31597	18	6	for	for	ADP
fcis-31597	18	7	being	be	AUX
fcis-31597	18	8	end	end	NOUN
fcis-31597	18	9	-	-	PUNCT
fcis-31597	18	10	to	to	ADP
fcis-31597	18	11	-	-	PUNCT
fcis-31597	18	12	end	end	NOUN
fcis-31597	18	13	and	and	CCONJ
fcis-31597	18	14	low	low	ADJ
fcis-31597	18	15	-	-	PUNCT
fcis-31597	18	16	latency	latency	NOUN
fcis-31597	18	17	,	,	PUNCT
fcis-31597	18	18	and	and	CCONJ
fcis-31597	18	19	have	have	AUX
fcis-31597	18	20	become	become	VERB
fcis-31597	18	21	mainstream	mainstream	ADJ
fcis-31597	18	22	in	in	ADP
fcis-31597	18	23	industrial	industrial	ADJ
fcis-31597	18	24	vision	vision	NOUN
fcis-31597	18	25	systems	system	NOUN
fcis-31597	18	26	.	.	PUNCT
fcis-31597	19	1	the	the	DET
fcis-31597	19	2	yolo	yolo	PROPN
fcis-31597	19	3	series	series	NOUN
fcis-31597	19	4	in	in	ADP
fcis-31597	19	5	particular	particular	ADJ
fcis-31597	19	6	has	have	AUX
fcis-31597	19	7	continuously	continuously	ADV
fcis-31597	19	8	improved	improve	VERB
fcis-31597	19	9	the	the	DET
fcis-31597	19	10	trade	trade	NOUN
fcis-31597	19	11	-	-	PUNCT
fcis-31597	19	12	off	off	NOUN
fcis-31597	19	13	between	between	ADP
fcis-31597	19	14	accuracy	accuracy	NOUN
fcis-31597	19	15	and	and	CCONJ
fcis-31597	19	16	speed	speed	NOUN
fcis-31597	19	17	through	through	ADP
fcis-31597	19	18	innovations	innovation	NOUN
fcis-31597	19	19	such	such	ADJ
fcis-31597	19	20	as	as	ADP
fcis-31597	19	21	decoupling	decouple	VERB
fcis-31597	19	22	the	the	DET
fcis-31597	19	23	classification	classification	NOUN
fcis-31597	19	24	and	and	CCONJ
fcis-31597	19	25	regression	regression	NOUN
fcis-31597	19	26	heads	head	NOUN
fcis-31597	19	27	,	,	PUNCT
fcis-31597	19	28	employing	employ	VERB
fcis-31597	19	29	dynamic	dynamic	ADJ
fcis-31597	19	30	label	label	NOUN
fcis-31597	19	31	assignment	assignment	NOUN
fcis-31597	19	32	like	like	ADP
fcis-31597	19	33	simota	simota	NOUN
fcis-31597	19	34	,	,	PUNCT
fcis-31597	19	35	and	and	CCONJ
fcis-31597	19	36	even	even	ADV
fcis-31597	19	37	adopting	adopt	VERB
fcis-31597	19	38	nms	nms	NOUN
fcis-31597	19	39	-	-	PUNCT
fcis-31597	19	40	free	free	ADJ
fcis-31597	19	41	training	training	NOUN
fcis-31597	19	42	in	in	ADP
fcis-31597	19	43	the	the	DET
fcis-31597	19	44	latest	late	ADJ
fcis-31597	19	45	versions	version	NOUN
fcis-31597	19	46	.	.	PUNCT
fcis-31597	20	1	despite	despite	SCONJ
fcis-31597	20	2	these	these	DET
fcis-31597	20	3	advances	advance	NOUN
fcis-31597	20	4	,	,	PUNCT
fcis-31597	20	5	a	a	DET
fcis-31597	20	6	core	core	NOUN
fcis-31597	20	7	challenge	challenge	NOUN
fcis-31597	20	8	remains	remain	VERB
fcis-31597	20	9	unresolved	unresolved	ADJ
fcis-31597	20	10	:	:	PUNCT
fcis-31597	20	11	detection	detection	NOUN
fcis-31597	20	12	ranking	ranking	NOUN
fcis-31597	20	13	is	be	AUX
fcis-31597	20	14	traditionally	traditionally	ADV
fcis-31597	20	15	driven	drive	VERB
fcis-31597	20	16	by	by	ADP
fcis-31597	20	17	classification	classification	NOUN
fcis-31597	20	18	confidence	confidence	NOUN
fcis-31597	20	19	alone	alone	ADV
fcis-31597	20	20	,	,	PUNCT
fcis-31597	20	21	while	while	SCONJ
fcis-31597	20	22	classification	classification	NOUN
fcis-31597	20	23	probability	probability	NOUN
fcis-31597	20	24	and	and	CCONJ
fcis-31597	20	25	localization	localization	NOUN
fcis-31597	20	26	precision	precision	NOUN
fcis-31597	20	27	are	be	AUX
fcis-31597	20	28	independent	independent	ADJ
fcis-31597	20	29	.	.	PUNCT
fcis-31597	21	1	this	this	DET
fcis-31597	21	2	misalignment	misalignment	NOUN
fcis-31597	21	3	causes	cause	VERB
fcis-31597	21	4	highiou	highiou	NOUN
fcis-31597	21	5	detections	detection	NOUN
fcis-31597	21	6	to	to	PART
fcis-31597	21	7	sometimes	sometimes	ADV
fcis-31597	21	8	receive	receive	VERB
fcis-31597	21	9	lower	low	ADJ
fcis-31597	21	10	scores	score	NOUN
fcis-31597	21	11	(	(	PUNCT
fcis-31597	21	12	and	and	CCONJ
fcis-31597	21	13	be	be	AUX
fcis-31597	21	14	pruned	prune	VERB
fcis-31597	21	15	)	)	PUNCT
fcis-31597	21	16	and	and	CCONJ
fcis-31597	21	17	allows	allow	VERB
fcis-31597	21	18	some	some	DET
fcis-31597	21	19	poorly	poorly	ADV
fcis-31597	21	20	localized	localize	VERB
fcis-31597	21	21	boxes	box	NOUN
fcis-31597	21	22	with	with	ADP
fcis-31597	21	23	high	high	ADJ
fcis-31597	21	24	scores	score	NOUN
fcis-31597	21	25	to	to	PART
fcis-31597	21	26	persist	persist	VERB
fcis-31597	21	27	after	after	ADP
fcis-31597	21	28	nms	nms	NOUN
fcis-31597	21	29	,	,	PUNCT
fcis-31597	21	30	leading	lead	VERB
fcis-31597	21	31	to	to	ADP
fcis-31597	21	32	false	false	ADJ
fcis-31597	21	33	suppression	suppression	NOUN
fcis-31597	21	34	or	or	CCONJ
fcis-31597	21	35	retention	retention	NOUN
fcis-31597	21	36	of	of	ADP
fcis-31597	21	37	results	result	NOUN
fcis-31597	21	38	.	.	PUNCT
fcis-31597	22	1	in	in	ADP
fcis-31597	22	2	essence	essence	NOUN
fcis-31597	22	3	,	,	PUNCT
fcis-31597	22	4	the	the	DET
fcis-31597	22	5	ordering	ordering	NOUN
fcis-31597	22	6	by	by	ADP
fcis-31597	22	7	classification	classification	NOUN
fcis-31597	22	8	score	score	NOUN
fcis-31597	22	9	does	do	AUX
fcis-31597	22	10	not	not	PART
fcis-31597	22	11	necessarily	necessarily	ADV
fcis-31597	22	12	reflect	reflect	VERB
fcis-31597	22	13	localization	localization	NOUN
fcis-31597	22	14	quality	quality	NOUN
fcis-31597	22	15	,	,	PUNCT
fcis-31597	22	16	which	which	PRON
fcis-31597	22	17	undermines	undermine	VERB
fcis-31597	22	18	final	final	ADJ
fcis-31597	22	19	performance	performance	NOUN
fcis-31597	22	20	.	.	PUNCT
fcis-31597	23	1	to	to	PART
fcis-31597	23	2	address	address	VERB
fcis-31597	23	3	this	this	PRON
fcis-31597	23	4	,	,	PUNCT
fcis-31597	23	5	researchers	researcher	NOUN
fcis-31597	23	6	have	have	AUX
fcis-31597	23	7	proposed	propose	VERB
fcis-31597	23	8	making	make	VERB
fcis-31597	23	9	classification	classification	NOUN
fcis-31597	23	10	scores	score	NOUN
fcis-31597	23	11	more	more	ADJ
fcis-31597	23	12	quality	quality	NOUN
fcis-31597	23	13	-	-	PUNCT
fcis-31597	23	14	aware	aware	ADJ
fcis-31597	23	15	.	.	PUNCT
fcis-31597	24	1	for	for	ADP
fcis-31597	24	2	example	example	NOUN
fcis-31597	24	3	,	,	PUNCT
fcis-31597	24	4	generalized	generalized	ADJ
fcis-31597	24	5	focal	focal	ADJ
fcis-31597	24	6	loss	loss	NOUN
fcis-31597	24	7	(	(	PUNCT
fcis-31597	24	8	gfl	gfl	NOUN
fcis-31597	24	9	)	)	PUNCT
fcis-31597	24	10	merges	merge	VERB
fcis-31597	24	11	localization	localization	NOUN
fcis-31597	24	12	quality	quality	NOUN
fcis-31597	24	13	estimation	estimation	NOUN
fcis-31597	24	14	into	into	ADP
fcis-31597	24	15	the	the	DET
fcis-31597	24	16	class	class	NOUN
fcis-31597	24	17	prediction	prediction	NOUN
fcis-31597	24	18	(	(	PUNCT
fcis-31597	24	19	using	use	VERB
fcis-31597	24	20	iou	iou	NOUN
fcis-31597	24	21	as	as	ADP
fcis-31597	24	22	a	a	DET
fcis-31597	24	23	soft	soft	ADJ
fcis-31597	24	24	label	label	NOUN
fcis-31597	24	25	)	)	PUNCT
fcis-31597	24	26	and	and	CCONJ
fcis-31597	24	27	employs	employ	VERB
fcis-31597	24	28	a	a	DET
fcis-31597	24	29	distribution	distribution	NOUN
fcis-31597	24	30	focal	focal	ADJ
fcis-31597	24	31	loss	loss	NOUN
fcis-31597	24	32	(	(	PUNCT
fcis-31597	24	33	dfl	dfl	PROPN
fcis-31597	24	34	)	)	PUNCT
fcis-31597	24	35	to	to	PART
fcis-31597	24	36	model	model	VERB
fcis-31597	24	37	the	the	DET
fcis-31597	24	38	uncertainty	uncertainty	NOUN
fcis-31597	24	39	in	in	ADP
fcis-31597	24	40	regression	regression	NOUN
fcis-31597	24	41	.	.	PUNCT
fcis-31597	25	1	varifocalnet	varifocalnet	NOUN
fcis-31597	25	2	(	(	PUNCT
fcis-31597	25	3	vfnet	vfnet	NOUN
fcis-31597	25	4	)	)	PUNCT
fcis-31597	25	5	directly	directly	ADV
fcis-31597	25	6	learns	learn	VERB
fcis-31597	25	7	an	an	DET
fcis-31597	25	8	iou	iou	NOUN
fcis-31597	25	9	-	-	PUNCT
fcis-31597	25	10	aware	aware	ADJ
fcis-31597	25	11	classification	classification	NOUN
fcis-31597	25	12	score	score	NOUN
fcis-31597	25	13	(	(	PUNCT
fcis-31597	25	14	iacs	iac	NOUN
fcis-31597	25	15	)	)	PUNCT
fcis-31597	25	16	for	for	ADP
fcis-31597	25	17	each	each	DET
fcis-31597	25	18	prediction	prediction	NOUN
fcis-31597	25	19	and	and	CCONJ
fcis-31597	25	20	uses	use	VERB
fcis-31597	25	21	varifocal	varifocal	ADJ
fcis-31597	25	22	loss	loss	NOUN
fcis-31597	25	23	to	to	PART
fcis-31597	25	24	emphasize	emphasize	VERB
fcis-31597	25	25	high	high	ADJ
fcis-31597	25	26	-	-	PUNCT
fcis-31597	25	27	quality	quality	NOUN
fcis-31597	25	28	positive	positive	ADJ
fcis-31597	25	29	samples	sample	NOUN
fcis-31597	25	30	.	.	PUNCT
fcis-31597	26	1	these	these	DET
fcis-31597	26	2	techniques	technique	NOUN
fcis-31597	26	3	improve	improve	VERB
fcis-31597	26	4	the	the	DET
fcis-31597	26	5	correlation	correlation	NOUN
fcis-31597	26	6	between	between	ADP
fcis-31597	26	7	classification	classification	NOUN
fcis-31597	26	8	scores	score	NOUN
fcis-31597	26	9	and	and	CCONJ
fcis-31597	26	10	iou	iou	NOUN
fcis-31597	26	11	,	,	PUNCT
fcis-31597	26	12	and	and	CCONJ
fcis-31597	26	13	losses	loss	NOUN
fcis-31597	26	14	like	like	ADP
fcis-31597	26	15	diou	diou	NOUN
fcis-31597	26	16	/	/	SYM
fcis-31597	26	17	ciou	ciou	NOUN
fcis-31597	26	18	further	far	ADV
fcis-31597	26	19	reinforce	reinforce	VERB
fcis-31597	26	20	geometric	geometric	ADJ
fcis-31597	26	21	consistency	consistency	NOUN
fcis-31597	26	22	during	during	ADP
fcis-31597	26	23	box	box	NOUN
fcis-31597	26	24	regression[9	regression[9	PROPN
fcis-31597	26	25	]	]	PUNCT
fcis-31597	26	26	.	.	PUNCT
fcis-31597	27	1	however	however	ADV
fcis-31597	27	2	,	,	PUNCT
fcis-31597	27	3	the	the	DET
fcis-31597	27	4	ranking	rank	VERB
fcis-31597	27	5	consistency	consistency	NOUN
fcis-31597	27	6	within	within	ADP
fcis-31597	27	7	a	a	DET
fcis-31597	27	8	set	set	NOUN
fcis-31597	27	9	of	of	ADP
fcis-31597	27	10	candidates	candidate	NOUN
fcis-31597	27	11	is	be	AUX
fcis-31597	27	12	still	still	ADV
fcis-31597	27	13	not	not	PART
fcis-31597	27	14	explicitly	explicitly	ADV
fcis-31597	27	15	enforced	enforce	VERB
fcis-31597	27	16	-	-	PUNCT
fcis-31597	27	17	that	that	ADV
fcis-31597	27	18	is	be	AUX
fcis-31597	27	19	,	,	PUNCT
fcis-31597	27	20	even	even	ADV
fcis-31597	27	21	if	if	SCONJ
fcis-31597	27	22	scores	score	NOUN
fcis-31597	27	23	and	and	CCONJ
fcis-31597	27	24	ious	ious	ADJ
fcis-31597	27	25	are	be	AUX
fcis-31597	27	26	better	well	ADV
fcis-31597	27	27	correlated	correlate	VERB
fcis-31597	27	28	overall	overall	ADV
fcis-31597	27	29	,	,	PUNCT
fcis-31597	27	30	there	there	PRON
fcis-31597	27	31	is	be	VERB
fcis-31597	27	32	usually	usually	ADV
fcis-31597	27	33	no	no	DET
fcis-31597	27	34	guarantee	guarantee	NOUN
fcis-31597	27	35	that	that	SCONJ
fcis-31597	27	36	,	,	PUNCT
fcis-31597	27	37	for	for	ADP
fcis-31597	27	38	a	a	DET
fcis-31597	27	39	given	give	VERB
fcis-31597	27	40	object	object	NOUN
fcis-31597	27	41	,	,	PUNCT
fcis-31597	27	42	the	the	DET
fcis-31597	27	43	candidates	candidate	NOUN
fcis-31597	27	44	with	with	ADP
fcis-31597	27	45	higher	high	ADJ
fcis-31597	27	46	iou	iou	NOUN
fcis-31597	27	47	are	be	AUX
fcis-31597	27	48	always	always	ADV
fcis-31597	27	49	ranked	rank	VERB
fcis-31597	27	50	higher	high	ADJ
fcis-31597	27	51	by	by	ADP
fcis-31597	27	52	the	the	DET
fcis-31597	27	53	model	model	NOUN
fcis-31597	27	54	's	's	PART
fcis-31597	27	55	scores	score	NOUN
fcis-31597	27	56	.	.	PUNCT
fcis-31597	28	1	moreover	moreover	ADV
fcis-31597	28	2	,	,	PUNCT
fcis-31597	28	3	the	the	DET
fcis-31597	28	4	limitation	limitation	NOUN
fcis-31597	28	5	of	of	ADP
fcis-31597	28	6	cross	cross	ADJ
fcis-31597	28	7	-	-	ADJ
fcis-31597	28	8	scale	scale	ADJ
fcis-31597	28	9	feature	feature	NOUN
fcis-31597	28	10	representation	representation	NOUN
fcis-31597	28	11	can	can	AUX
fcis-31597	28	12	also	also	ADV
fcis-31597	28	13	affect	affect	VERB
fcis-31597	28	14	ranking	rank	VERB
fcis-31597	28	15	:	:	PUNCT
fcis-31597	28	16	if	if	SCONJ
fcis-31597	28	17	the	the	DET
fcis-31597	28	18	detector	detector	NOUN
fcis-31597	28	19	's	's	PART
fcis-31597	28	20	head	head	NOUN
fcis-31597	28	21	can	can	AUX
fcis-31597	28	22	not	not	PART
fcis-31597	28	23	robustly	robustly	ADV
fcis-31597	28	24	aggregate	aggregate	VERB
fcis-31597	28	25	features	feature	NOUN
fcis-31597	28	26	across	across	ADP
fcis-31597	28	27	scales	scale	NOUN
fcis-31597	28	28	,	,	PUNCT
fcis-31597	28	29	it	it	PRON
fcis-31597	28	30	may	may	AUX
fcis-31597	28	31	not	not	PART
fcis-31597	28	32	accurately	accurately	ADV
fcis-31597	28	33	evaluate	evaluate	VERB
fcis-31597	28	34	the	the	DET
fcis-31597	28	35	localization	localization	NOUN
fcis-31597	28	36	quality	quality	NOUN
fcis-31597	28	37	of	of	ADP
fcis-31597	28	38	candidates	candidate	NOUN
fcis-31597	28	39	,	,	PUNCT
fcis-31597	28	40	especially	especially	ADV
fcis-31597	28	41	for	for	ADP
fcis-31597	28	42	small	small	ADJ
fcis-31597	28	43	or	or	CCONJ
fcis-31597	28	44	highly	highly	ADV
fcis-31597	28	45	deformed	deform	VERB
fcis-31597	28	46	objects	object	NOUN
fcis-31597	28	47	.	.	PUNCT
fcis-31597	29	1	another	another	DET
fcis-31597	29	2	line	line	NOUN
fcis-31597	29	3	of	of	ADP
fcis-31597	29	4	work	work	NOUN
fcis-31597	29	5	has	have	AUX
fcis-31597	29	6	focused	focus	VERB
fcis-31597	29	7	on	on	ADP
fcis-31597	29	8	sample	sample	NOUN
fcis-31597	29	9	assignment	assignment	NOUN
fcis-31597	29	10	and	and	CCONJ
fcis-31597	29	11	ranking	ranking	NOUN
fcis-31597	29	12	strategy	strategy	NOUN
fcis-31597	29	13	.	.	PUNCT
fcis-31597	30	1	atss	atss	PROPN
fcis-31597	30	2	showed	show	VERB
fcis-31597	30	3	that	that	SCONJ
fcis-31597	30	4	the	the	DET
fcis-31597	30	5	difference	difference	NOUN
fcis-31597	30	6	between	between	ADP
fcis-31597	30	7	anchor	anchor	NOUN
fcis-31597	30	8	-	-	PUNCT
fcis-31597	30	9	based	base	VERB
fcis-31597	30	10	and	and	CCONJ
fcis-31597	30	11	anchor	anchor	NOUN
fcis-31597	30	12	-	-	PUNCT
fcis-31597	30	13	free	free	ADJ
fcis-31597	30	14	detectors	detector	NOUN
fcis-31597	30	15	mainly	mainly	ADV
fcis-31597	30	16	lies	lie	VERB
fcis-31597	30	17	in	in	ADP
fcis-31597	30	18	how	how	SCONJ
fcis-31597	30	19	positive	positive	ADJ
fcis-31597	30	20	/	/	SYM
fcis-31597	30	21	negative	negative	ADJ
fcis-31597	30	22	samples	sample	NOUN
fcis-31597	30	23	are	be	AUX
fcis-31597	30	24	defined	define	VERB
fcis-31597	30	25	;	;	PUNCT
fcis-31597	30	26	it	it	PRON
fcis-31597	30	27	used	use	VERB
fcis-31597	30	28	an	an	DET
fcis-31597	30	29	adaptive	adaptive	ADJ
fcis-31597	30	30	iou	iou	NOUN
fcis-31597	30	31	threshold	threshold	NOUN
fcis-31597	30	32	to	to	PART
fcis-31597	30	33	select	select	VERB
fcis-31597	30	34	positives	positive	NOUN
fcis-31597	30	35	,	,	PUNCT
fcis-31597	30	36	improving	improve	VERB
fcis-31597	30	37	stability	stability	NOUN
fcis-31597	30	38	across	across	ADP
fcis-31597	30	39	scales	scale	NOUN
fcis-31597	30	40	[	[	X
fcis-31597	30	41	10	10	NUM
fcis-31597	30	42	]	]	PUNCT
fcis-31597	30	43	.	.	PUNCT
fcis-31597	31	1	yolox	yolox	PROPN
fcis-31597	31	2	later	later	ADV
fcis-31597	31	3	introduced	introduce	VERB
fcis-31597	31	4	simota	simota	NOUN
fcis-31597	31	5	,	,	PUNCT
fcis-31597	31	6	formulating	formulate	VERB
fcis-31597	31	7	assignment	assignment	NOUN
fcis-31597	31	8	as	as	ADP
fcis-31597	31	9	a	a	DET
fcis-31597	31	10	cost	cost	NOUN
fcis-31597	31	11	matrix	matrix	NOUN
fcis-31597	31	12	problem	problem	NOUN
fcis-31597	31	13	with	with	ADP
fcis-31597	31	14	dynamic	dynamic	ADJ
fcis-31597	31	15	top	top	ADJ
fcis-31597	31	16	-	-	PUNCT
fcis-31597	31	17	k	k	NOUN
fcis-31597	31	18	selection	selection	NOUN
fcis-31597	31	19	,	,	PUNCT
fcis-31597	31	20	which	which	PRON
fcis-31597	31	21	unifies	unify	VERB
fcis-31597	31	22	the	the	DET
fcis-31597	31	23	assignment	assignment	NOUN
fcis-31597	31	24	process	process	NOUN
fcis-31597	31	25	with	with	ADP
fcis-31597	31	26	hard	hard	ADJ
fcis-31597	31	27	example	example	NOUN
fcis-31597	31	28	mining	mining	NOUN
fcis-31597	31	29	and	and	CCONJ
fcis-31597	31	30	significantly	significantly	ADV
fcis-31597	31	31	improves	improve	VERB
fcis-31597	31	32	convergence	convergence	NOUN
fcis-31597	31	33	and	and	CCONJ
fcis-31597	31	34	accuracy	accuracy	NOUN
fcis-31597	31	35	.	.	PUNCT
fcis-31597	32	1	these	these	DET
fcis-31597	32	2	strategies	strategy	NOUN
fcis-31597	32	3	ensure	ensure	VERB
fcis-31597	32	4	more	more	ADV
fcis-31597	32	5	reasonable	reasonable	ADJ
fcis-31597	32	6	training	training	NOUN
fcis-31597	32	7	targets	target	NOUN
fcis-31597	32	8	.	.	PUNCT
fcis-31597	33	1	however	however	ADV
fcis-31597	33	2	,	,	PUNCT
fcis-31597	33	3	even	even	ADV
fcis-31597	33	4	with	with	ADP
fcis-31597	33	5	a	a	DET
fcis-31597	33	6	welldesigned	welldesigne	VERB
fcis-31597	33	7	assignment	assignment	NOUN
fcis-31597	33	8	,	,	PUNCT
fcis-31597	33	9	if	if	SCONJ
fcis-31597	33	10	the	the	DET
fcis-31597	33	11	head	head	NOUN
fcis-31597	33	12	architecture	architecture	NOUN
fcis-31597	33	13	fails	fail	VERB
fcis-31597	33	14	to	to	PART
fcis-31597	33	15	robustly	robustly	ADV
fcis-31597	33	16	combine	combine	VERB
fcis-31597	33	17	geometric	geometric	ADJ
fcis-31597	33	18	and	and	CCONJ
fcis-31597	33	19	contextual	contextual	ADJ
fcis-31597	33	20	cues	cue	NOUN
fcis-31597	33	21	across	across	ADP
fcis-31597	33	22	pyramid	pyramid	NOUN
fcis-31597	33	23	levels	level	NOUN
fcis-31597	33	24	,	,	PUNCT
fcis-31597	33	25	or	or	CCONJ
fcis-31597	33	26	if	if	SCONJ
fcis-31597	33	27	the	the	DET
fcis-31597	33	28	loss	loss	NOUN
fcis-31597	33	29	function	function	NOUN
fcis-31597	33	30	does	do	AUX
fcis-31597	33	31	not	not	PART
fcis-31597	33	32	explicitly	explicitly	ADV
fcis-31597	33	33	enforce	enforce	VERB
fcis-31597	33	34	that	that	SCONJ
fcis-31597	33	35	the	the	DET
fcis-31597	33	36	scoring	scoring	NOUN
fcis-31597	33	37	aligns	align	VERB
fcis-31597	33	38	with	with	ADP
fcis-31597	33	39	localization	localization	NOUN
fcis-31597	33	40	quality	quality	NOUN
fcis-31597	33	41	,	,	PUNCT
fcis-31597	33	42	the	the	DET
fcis-31597	33	43	initial	initial	ADJ
fcis-31597	33	44	29	29	NUM
fcis-31597	33	45	misalignment	misalignment	NOUN
fcis-31597	33	46	issue	issue	NOUN
fcis-31597	33	47	will	will	AUX
fcis-31597	33	48	persist	persist	VERB
fcis-31597	33	49	.	.	PUNCT
fcis-31597	34	1	in	in	ADP
fcis-31597	34	2	fact	fact	NOUN
fcis-31597	34	3	,	,	PUNCT
fcis-31597	34	4	the	the	DET
fcis-31597	34	5	errors	error	NOUN
fcis-31597	34	6	from	from	ADP
fcis-31597	34	7	score	score	ADJ
fcis-31597	34	8	–	–	PUNCT
fcis-31597	34	9	quality	quality	NOUN
fcis-31597	34	10	mismatch	mismatch	NOUN
fcis-31597	34	11	can	can	AUX
fcis-31597	34	12	be	be	AUX
fcis-31597	34	13	amplified	amplify	VERB
fcis-31597	34	14	during	during	ADP
fcis-31597	34	15	nms	nms	NOUN
fcis-31597	34	16	or	or	CCONJ
fcis-31597	34	17	even	even	ADV
fcis-31597	34	18	in	in	ADP
fcis-31597	34	19	nms	nms	NOUN
fcis-31597	34	20	-	-	PUNCT
fcis-31597	34	21	free	free	ADJ
fcis-31597	34	22	decoding[11]–for	decoding[11]–for	ADP
fcis-31597	34	23	instance	instance	NOUN
fcis-31597	34	24	,	,	PUNCT
fcis-31597	34	25	a	a	DET
fcis-31597	34	26	detector	detector	NOUN
fcis-31597	34	27	might	might	AUX
fcis-31597	34	28	still	still	ADV
fcis-31597	34	29	output	output	VERB
fcis-31597	34	30	a	a	DET
fcis-31597	34	31	lower	low	ADJ
fcis-31597	34	32	-	-	PUNCT
fcis-31597	34	33	iou	iou	NOUN
fcis-31597	34	34	prediction	prediction	NOUN
fcis-31597	34	35	simply	simply	ADV
fcis-31597	34	36	because	because	SCONJ
fcis-31597	34	37	its	its	PRON
fcis-31597	34	38	classification	classification	NOUN
fcis-31597	34	39	score	score	NOUN
fcis-31597	34	40	is	be	AUX
fcis-31597	34	41	higher	high	ADJ
fcis-31597	34	42	than	than	ADP
fcis-31597	34	43	a	a	DET
fcis-31597	34	44	better	well	ADV
fcis-31597	34	45	-	-	PUNCT
fcis-31597	34	46	localized	localize	VERB
fcis-31597	34	47	alternative	alternative	NOUN
fcis-31597	34	48	.	.	PUNCT
fcis-31597	35	1	figure	figure	NOUN
fcis-31597	35	2	1	1	NUM
fcis-31597	35	3	shows	show	VERB
fcis-31597	35	4	the	the	DET
fcis-31597	35	5	top	top	ADJ
fcis-31597	35	6	portion	portion	NOUN
fcis-31597	35	7	illustrates	illustrate	VERB
fcis-31597	35	8	the	the	DET
fcis-31597	35	9	proposed	propose	VERB
fcis-31597	35	10	csd	csd	NOUN
fcis-31597	35	11	-	-	PUNCT
fcis-31597	35	12	head	head	NOUN
fcis-31597	35	13	operating	operate	VERB
fcis-31597	35	14	on	on	ADP
fcis-31597	35	15	pyramid	pyramid	NOUN
fcis-31597	35	16	features	feature	VERB
fcis-31597	35	17	p	p	NOUN
fcis-31597	35	18	to	to	ADP
fcis-31597	35	19	p	p	PROPN
fcis-31597	35	20	.	.	PUNCT
fcis-31597	36	1	for	for	ADP
fcis-31597	36	2	each	each	DET
fcis-31597	36	3	spatial	spatial	ADJ
fcis-31597	36	4	position	position	NOUN
fcis-31597	36	5	,	,	PUNCT
fcis-31597	36	6	a	a	DET
fcis-31597	36	7	sparse	sparse	ADJ
fcis-31597	36	8	deformable	deformable	ADJ
fcis-31597	36	9	sampler	sampler	NOUN
fcis-31597	36	10	obtains	obtain	VERB
fcis-31597	36	11	a	a	DET
fcis-31597	36	12	small	small	ADJ
fcis-31597	36	13	number	number	NOUN
fcis-31597	36	14	k	k	PROPN
fcis-31597	36	15	of	of	ADP
fcis-31597	36	16	offset	offset	NOUN
fcis-31597	36	17	sampling	sampling	NOUN
fcis-31597	36	18	points	point	NOUN
fcis-31597	36	19	from	from	ADP
fcis-31597	36	20	the	the	DET
fcis-31597	36	21	neighboring	neighbor	VERB
fcis-31597	36	22	pyramid	pyramid	NOUN
fcis-31597	36	23	levels	level	NOUN
fcis-31597	36	24	p	p	NOUN
fcis-31597	36	25	,	,	PUNCT
fcis-31597	36	26	p	p	X
fcis-31597	36	27	,	,	PUNCT
fcis-31597	36	28	p	p	X
fcis-31597	36	29	,	,	PUNCT
fcis-31597	36	30	capturing	capture	VERB
fcis-31597	36	31	object	object	NOUN
fcis-31597	36	32	deformations	deformation	NOUN
fcis-31597	36	33	and	and	CCONJ
fcis-31597	36	34	context	context	NOUN
fcis-31597	36	35	(	(	PUNCT
fcis-31597	36	36	green	green	ADJ
fcis-31597	36	37	points	point	NOUN
fcis-31597	36	38	denote	denote	VERB
fcis-31597	36	39	high	high	ADJ
fcis-31597	36	40	-	-	PUNCT
fcis-31597	36	41	iou	iou	NOUN
fcis-31597	36	42	regions	region	NOUN
fcis-31597	36	43	and	and	CCONJ
fcis-31597	36	44	red	red	ADJ
fcis-31597	36	45	points	point	NOUN
fcis-31597	36	46	low	low	ADJ
fcis-31597	36	47	-	-	PUNCT
fcis-31597	36	48	iou	iou	NOUN
fcis-31597	36	49	)	)	PUNCT
fcis-31597	36	50	.	.	PUNCT
fcis-31597	37	1	these	these	DET
fcis-31597	37	2	samples	sample	NOUN
fcis-31597	37	3	feed	feed	VERB
fcis-31597	37	4	into	into	ADP
fcis-31597	37	5	the	the	DET
fcis-31597	37	6	fusion	fusion	NOUN
fcis-31597	37	7	stage	stage	NOUN
fcis-31597	37	8	where	where	SCONJ
fcis-31597	37	9	the	the	DET
fcis-31597	37	10	bcdm	bcdm	NOUN
fcis-31597	37	11	module	module	NOUN
fcis-31597	37	12	performs	perform	VERB
fcis-31597	37	13	gated	gate	VERB
fcis-31597	37	14	bidirectional	bidirectional	ADJ
fcis-31597	37	15	fusion	fusion	NOUN
fcis-31597	37	16	:	:	PUNCT
fcis-31597	37	17	lightweight	lightweight	ADJ
fcis-31597	37	18	gating	gating	NOUN
fcis-31597	37	19	and	and	CCONJ
fcis-31597	37	20	dynamic	dynamic	ADJ
fcis-31597	37	21	convolution	convolution	NOUN
fcis-31597	37	22	are	be	AUX
fcis-31597	37	23	applied	apply	VERB
fcis-31597	37	24	in	in	ADP
fcis-31597	37	25	both	both	CCONJ
fcis-31597	37	26	the	the	DET
fcis-31597	37	27	top	top	ADJ
fcis-31597	37	28	-	-	PUNCT
fcis-31597	37	29	down	down	NOUN
fcis-31597	37	30	and	and	CCONJ
fcis-31597	37	31	bottom	bottom	ADJ
fcis-31597	37	32	-	-	PUNCT
fcis-31597	37	33	up	up	ADP
fcis-31597	37	34	paths	path	NOUN
fcis-31597	37	35	(	(	PUNCT
fcis-31597	37	36	the	the	DET
fcis-31597	37	37	thickness	thickness	NOUN
fcis-31597	37	38	of	of	ADP
fcis-31597	37	39	arrows	arrow	NOUN
fcis-31597	37	40	indicates	indicate	VERB
fcis-31597	37	41	the	the	DET
fcis-31597	37	42	strength	strength	NOUN
fcis-31597	37	43	of	of	ADP
fcis-31597	37	44	information	information	NOUN
fcis-31597	37	45	flow	flow	NOUN
fcis-31597	37	46	)	)	PUNCT
fcis-31597	37	47	.	.	PUNCT
fcis-31597	38	1	this	this	DET
fcis-31597	38	2	yields	yield	NOUN
fcis-31597	38	3	enhanced	enhance	VERB
fcis-31597	38	4	features	feature	NOUN
fcis-31597	38	5	for	for	ADP
fcis-31597	38	6	the	the	DET
fcis-31597	38	7	classification	classification	NOUN
fcis-31597	38	8	and	and	CCONJ
fcis-31597	38	9	regression	regression	NOUN
fcis-31597	38	10	branches	branch	NOUN
fcis-31597	38	11	.	.	PUNCT
fcis-31597	39	1	the	the	DET
fcis-31597	39	2	bottom	bottom	ADJ
fcis-31597	39	3	portion	portion	NOUN
fcis-31597	39	4	illustrates	illustrate	VERB
fcis-31597	39	5	the	the	DET
fcis-31597	39	6	training	training	NOUN
fcis-31597	39	7	-	-	PUNCT
fcis-31597	39	8	time	time	NOUN
fcis-31597	39	9	rcq	rcq	NOUN
fcis-31597	39	10	-	-	PUNCT
fcis-31597	39	11	loss	loss	NOUN
fcis-31597	39	12	for	for	ADP
fcis-31597	39	13	one	one	NUM
fcis-31597	39	14	ground	ground	NOUN
fcis-31597	39	15	-	-	PUNCT
fcis-31597	39	16	truth	truth	NOUN
fcis-31597	39	17	object	object	NOUN
fcis-31597	39	18	:	:	PUNCT
fcis-31597	39	19	all	all	DET
fcis-31597	39	20	predictions	prediction	NOUN
fcis-31597	39	21	associated	associate	VERB
fcis-31597	39	22	with	with	ADP
fcis-31597	39	23	this	this	DET
fcis-31597	39	24	object	object	NOUN
fcis-31597	39	25	form	form	NOUN
fcis-31597	39	26	a	a	DET
fcis-31597	39	27	candidate	candidate	NOUN
fcis-31597	39	28	set	set	NOUN
fcis-31597	39	29	(	(	PUNCT
fcis-31597	39	30	indicated	indicate	VERB
fcis-31597	39	31	by	by	ADP
fcis-31597	39	32	the	the	DET
fcis-31597	39	33	gray	gray	ADJ
fcis-31597	39	34	dashed	dash	VERB
fcis-31597	39	35	oval	oval	NOUN
fcis-31597	39	36	)	)	PUNCT
fcis-31597	39	37	.	.	PUNCT
fcis-31597	40	1	within	within	ADP
fcis-31597	40	2	this	this	DET
fcis-31597	40	3	set	set	NOUN
fcis-31597	40	4	,	,	PUNCT
fcis-31597	40	5	rcq	rcq	NOUN
fcis-31597	40	6	-	-	PUNCT
fcis-31597	40	7	loss	loss	NOUN
fcis-31597	40	8	applies	apply	VERB
fcis-31597	40	9	three	three	NUM
fcis-31597	40	10	combined	combined	ADJ
fcis-31597	40	11	constraints	constraint	NOUN
fcis-31597	40	12	–	–	PUNCT
fcis-31597	40	13	quality	quality	NOUN
fcis-31597	40	14	-	-	PUNCT
fcis-31597	40	15	aware	aware	ADJ
fcis-31597	40	16	calibration	calibration	NOUN
fcis-31597	40	17	(	(	PUNCT
fcis-31597	40	18	pointwise	pointwise	PROPN
fcis-31597	40	19	bce	bce	PROPN
fcis-31597	40	20	)	)	PUNCT
fcis-31597	40	21	,	,	PUNCT
fcis-31597	40	22	list	list	NOUN
fcis-31597	40	23	-	-	PUNCT
fcis-31597	40	24	wise	wise	ADJ
fcis-31597	40	25	alignment	alignment	NOUN
fcis-31597	40	26	(	(	PUNCT
fcis-31597	40	27	softmax	softmax	NOUN
fcis-31597	40	28	cross	cross	NOUN
fcis-31597	40	29	-	-	NOUN
fcis-31597	40	30	entropy	entropy	NOUN
fcis-31597	40	31	across	across	ADP
fcis-31597	40	32	the	the	DET
fcis-31597	40	33	set	set	NOUN
fcis-31597	40	34	)	)	PUNCT
fcis-31597	40	35	,	,	PUNCT
fcis-31597	40	36	and	and	CCONJ
fcis-31597	40	37	pairwise	pairwise	NOUN
fcis-31597	40	38	ranking	rank	VERB
fcis-31597	40	39	consistency	consistency	NOUN
fcis-31597	40	40	(	(	PUNCT
fcis-31597	40	41	hinge	hinge	NOUN
fcis-31597	40	42	loss)–to	loss)–to	PRON
fcis-31597	40	43	ensure	ensure	VERB
fcis-31597	40	44	the	the	DET
fcis-31597	40	45	distribution	distribution	NOUN
fcis-31597	40	46	and	and	CCONJ
fcis-31597	40	47	order	order	NOUN
fcis-31597	40	48	of	of	ADP
fcis-31597	40	49	the	the	DET
fcis-31597	40	50	classification	classification	NOUN
fcis-31597	40	51	scores	score	NOUN
fcis-31597	40	52	align	align	VERB
fcis-31597	40	53	with	with	ADP
fcis-31597	40	54	the	the	DET
fcis-31597	40	55	iou	iou	NOUN
fcis-31597	40	56	-	-	PUNCT
fcis-31597	40	57	based	base	VERB
fcis-31597	40	58	quality	quality	NOUN
fcis-31597	40	59	of	of	ADP
fcis-31597	40	60	predictions	prediction	NOUN
fcis-31597	40	61	.	.	PUNCT
fcis-31597	41	1	in	in	ADP
fcis-31597	41	2	other	other	ADJ
fcis-31597	41	3	words	word	NOUN
fcis-31597	41	4	,	,	PUNCT
fcis-31597	41	5	candidates	candidate	NOUN
fcis-31597	41	6	with	with	ADP
fcis-31597	41	7	higher	high	ADJ
fcis-31597	41	8	iou	iou	NOUN
fcis-31597	41	9	(	(	PUNCT
fcis-31597	41	10	better	well	ADJ
fcis-31597	41	11	localization	localization	NOUN
fcis-31597	41	12	,	,	PUNCT
fcis-31597	41	13	shown	show	VERB
fcis-31597	41	14	in	in	ADP
fcis-31597	41	15	green	green	NOUN
fcis-31597	41	16	)	)	PUNCT
fcis-31597	41	17	are	be	AUX
fcis-31597	41	18	assigned	assign	VERB
fcis-31597	41	19	higher	high	ADJ
fcis-31597	41	20	classification	classification	NOUN
fcis-31597	41	21	scores	score	NOUN
fcis-31597	41	22	than	than	ADP
fcis-31597	41	23	those	those	PRON
fcis-31597	41	24	with	with	ADP
fcis-31597	41	25	lower	low	ADJ
fcis-31597	41	26	iou	iou	NOUN
fcis-31597	41	27	(	(	PUNCT
fcis-31597	41	28	shown	show	VERB
fcis-31597	41	29	in	in	ADP
fcis-31597	41	30	red	red	PROPN
fcis-31597	41	31	)	)	PUNCT
fcis-31597	41	32	.	.	PUNCT
fcis-31597	42	1	this	this	DET
fcis-31597	42	2	design	design	NOUN
fcis-31597	42	3	strengthens	strengthen	VERB
fcis-31597	42	4	crossscale	crossscale	ADJ
fcis-31597	42	5	feature	feature	NOUN
fcis-31597	42	6	alignment	alignment	NOUN
fcis-31597	42	7	at	at	ADP
fcis-31597	42	8	the	the	DET
fcis-31597	42	9	architectural	architectural	ADJ
fcis-31597	42	10	level	level	NOUN
fcis-31597	42	11	and	and	CCONJ
fcis-31597	42	12	guarantees	guarantee	VERB
fcis-31597	42	13	ranking	rank	VERB
fcis-31597	42	14	consistency	consistency	NOUN
fcis-31597	42	15	at	at	ADP
fcis-31597	42	16	the	the	DET
fcis-31597	42	17	output	output	NOUN
fcis-31597	42	18	level	level	NOUN
fcis-31597	42	19	,	,	PUNCT
fcis-31597	42	20	as	as	SCONJ
fcis-31597	42	21	shown	show	VERB
fcis-31597	42	22	in	in	ADP
fcis-31597	42	23	the	the	DET
fcis-31597	42	24	figure	figure	NOUN
fcis-31597	42	25	.	.	PUNCT
fcis-31597	43	1	fig	fig	NOUN
fcis-31597	43	2	1	1	NUM
fcis-31597	43	3	.	.	PUNCT
fcis-31597	44	1	csd	csd	NOUN
fcis-31597	44	2	-	-	PUNCT
fcis-31597	44	3	head	head	NOUN
fcis-31597	44	4	and	and	CCONJ
fcis-31597	44	5	rcq	rcq	NOUN
fcis-31597	44	6	-	-	PUNCT
fcis-31597	44	7	loss	loss	NOUN
fcis-31597	44	8	overall	overall	ADJ
fcis-31597	44	9	structure	structure	NOUN
fcis-31597	44	10	1.2	1.2	NUM
fcis-31597	44	11	.	.	PUNCT
fcis-31597	44	12	related	relate	VERB
fcis-31597	44	13	work	work	NOUN
fcis-31597	44	14	and	and	CCONJ
fcis-31597	44	15	gap	gap	NOUN
fcis-31597	44	16	quality	quality	NOUN
fcis-31597	44	17	-	-	PUNCT
fcis-31597	44	18	aware	aware	ADJ
fcis-31597	44	19	classification	classification	NOUN
fcis-31597	44	20	:	:	PUNCT
fcis-31597	44	21	a	a	DET
fcis-31597	44	22	number	number	NOUN
fcis-31597	44	23	of	of	ADP
fcis-31597	44	24	methods	method	NOUN
fcis-31597	44	25	aim	aim	VERB
fcis-31597	44	26	to	to	PART
fcis-31597	44	27	couple	couple	VERB
fcis-31597	44	28	classification	classification	NOUN
fcis-31597	44	29	confidence	confidence	NOUN
fcis-31597	44	30	with	with	ADP
fcis-31597	44	31	localization	localization	NOUN
fcis-31597	44	32	accuracy	accuracy	NOUN
fcis-31597	44	33	.	.	PUNCT
fcis-31597	45	1	quality	quality	NOUN
fcis-31597	45	2	focal	focal	ADJ
fcis-31597	45	3	loss(gfl	loss(gfl	PROPN
fcis-31597	45	4	)	)	PUNCT
fcis-31597	45	5	uses	use	VERB
fcis-31597	45	6	iou	iou	NOUN
fcis-31597	45	7	values	value	NOUN
fcis-31597	45	8	as	as	ADP
fcis-31597	45	9	soft	soft	ADJ
fcis-31597	45	10	labels	label	NOUN
fcis-31597	45	11	for	for	ADP
fcis-31597	45	12	classification	classification	NOUN
fcis-31597	45	13	and	and	CCONJ
fcis-31597	45	14	introduces	introduce	NOUN
fcis-31597	45	15	dfl	dfl	PROPN
fcis-31597	45	16	to	to	PART
fcis-31597	45	17	model	model	VERB
fcis-31597	45	18	uncertainty	uncertainty	NOUN
fcis-31597	45	19	in	in	ADP
fcis-31597	45	20	bounded	bounded	PROPN
fcis-31597	45	21	box	box	PROPN
fcis-31597	45	22	regression	regression	PROPN
fcis-31597	45	23	.	.	PUNCT
fcis-31597	46	1	vfnet	vfnet	PROPN
fcis-31597	46	2	proposes	propose	VERB
fcis-31597	46	3	to	to	PART
fcis-31597	46	4	predict	predict	VERB
fcis-31597	46	5	an	an	DET
fcis-31597	46	6	integrated	integrate	VERB
fcis-31597	46	7	iou	iou	NOUN
fcis-31597	46	8	-	-	PUNCT
fcis-31597	46	9	aware	aware	ADJ
fcis-31597	46	10	classification	classification	NOUN
fcis-31597	46	11	score	score	NOUN
fcis-31597	46	12	,	,	PUNCT
fcis-31597	46	13	unifying	unify	VERB
fcis-31597	46	14	the	the	DET
fcis-31597	46	15	objectives	objective	NOUN
fcis-31597	46	16	of	of	ADP
fcis-31597	46	17	detection	detection	NOUN
fcis-31597	46	18	and	and	CCONJ
fcis-31597	46	19	ranking	ranking	NOUN
fcis-31597	46	20	,	,	PUNCT
fcis-31597	46	21	and	and	CCONJ
fcis-31597	46	22	employs	employ	VERB
fcis-31597	46	23	varifocal	varifocal	ADJ
fcis-31597	46	24	loss	loss	NOUN
fcis-31597	46	25	which	which	PRON
fcis-31597	46	26	asymmetrically	asymmetrically	ADV
fcis-31597	46	27	boosts	boost	VERB
fcis-31597	46	28	high	high	ADJ
fcis-31597	46	29	-	-	PUNCT
fcis-31597	46	30	iou	iou	NOUN
fcis-31597	46	31	positive	positive	ADJ
fcis-31597	46	32	samples	sample	NOUN
fcis-31597	46	33	.	.	PUNCT
fcis-31597	47	1	in	in	ADP
fcis-31597	47	2	parallel	parallel	NOUN
fcis-31597	47	3	,	,	PUNCT
fcis-31597	47	4	improved	improve	VERB
fcis-31597	47	5	regression	regression	NOUN
fcis-31597	47	6	losses	loss	NOUN
fcis-31597	47	7	like	like	ADP
fcis-31597	47	8	diou	diou	NOUN
fcis-31597	47	9	/	/	SYM
fcis-31597	47	10	ciou	ciou	NOUN
fcis-31597	47	11	penalize	penalize	VERB
fcis-31597	47	12	aspect	aspect	NOUN
fcis-31597	47	13	ratio	ratio	NOUN
fcis-31597	47	14	and	and	CCONJ
fcis-31597	47	15	center	center	ADJ
fcis-31597	47	16	-	-	PUNCT
fcis-31597	47	17	distance	distance	NOUN
fcis-31597	47	18	discrepancies	discrepancy	NOUN
fcis-31597	47	19	in	in	ADP
fcis-31597	47	20	addition	addition	NOUN
fcis-31597	47	21	to	to	ADP
fcis-31597	47	22	overlap	overlap	VERB
fcis-31597	47	23	,	,	PUNCT
fcis-31597	47	24	yielding	yield	VERB
fcis-31597	47	25	better	well	ADJ
fcis-31597	47	26	geometric	geometric	ADJ
fcis-31597	47	27	alignment	alignment	NOUN
fcis-31597	47	28	between	between	ADP
fcis-31597	47	29	predictions	prediction	NOUN
fcis-31597	47	30	and	and	CCONJ
fcis-31597	47	31	ground	ground	NOUN
fcis-31597	47	32	truth[12	truth[12	NOUN
fcis-31597	47	33	]	]	X
fcis-31597	47	34	.	.	PUNCT
fcis-31597	48	1	each	each	PRON
fcis-31597	48	2	of	of	ADP
fcis-31597	48	3	these	these	DET
fcis-31597	48	4	techniques	technique	NOUN
fcis-31597	48	5	enhances	enhance	VERB
fcis-31597	48	6	either	either	CCONJ
fcis-31597	48	7	the	the	DET
fcis-31597	48	8	score	score	NOUN
fcis-31597	48	9	–	–	PUNCT
fcis-31597	48	10	quality	quality	NOUN
fcis-31597	48	11	coupling	coupling	NOUN
fcis-31597	48	12	or	or	CCONJ
fcis-31597	48	13	the	the	DET
fcis-31597	48	14	localization	localization	NOUN
fcis-31597	48	15	accuracy	accuracy	NOUN
fcis-31597	48	16	.	.	PUNCT
fcis-31597	49	1	however	however	ADV
fcis-31597	49	2	,	,	PUNCT
fcis-31597	49	3	within	within	ADP
fcis-31597	49	4	each	each	DET
fcis-31597	49	5	candidate	candidate	NOUN
fcis-31597	49	6	set	set	NOUN
fcis-31597	49	7	,	,	PUNCT
fcis-31597	49	8	the	the	DET
fcis-31597	49	9	consistency	consistency	NOUN
fcis-31597	49	10	of	of	ADP
fcis-31597	49	11	score	score	NOUN
fcis-31597	49	12	ordering	ordering	NOUN
fcis-31597	49	13	with	with	ADP
fcis-31597	49	14	iou	iou	PROPN
fcis-31597	49	15	is	be	AUX
fcis-31597	49	16	seldom	seldom	ADV
fcis-31597	49	17	explicitly	explicitly	ADV
fcis-31597	49	18	enforced	enforce	VERB
fcis-31597	49	19	.	.	PUNCT
fcis-31597	50	1	in	in	ADP
fcis-31597	50	2	other	other	ADJ
fcis-31597	50	3	words	word	NOUN
fcis-31597	50	4	,	,	PUNCT
fcis-31597	50	5	two	two	NUM
fcis-31597	50	6	predictions	prediction	NOUN
fcis-31597	50	7	of	of	ADP
fcis-31597	50	8	the	the	DET
fcis-31597	50	9	same	same	ADJ
fcis-31597	50	10	object	object	NOUN
fcis-31597	50	11	might	might	AUX
fcis-31597	50	12	still	still	ADV
fcis-31597	50	13	be	be	AUX
fcis-31597	50	14	mis	mi	NOUN
fcis-31597	50	15	-	-	PUNCT
fcis-31597	50	16	ordered	order	VERB
fcis-31597	50	17	by	by	ADP
fcis-31597	50	18	confidence	confidence	NOUN
fcis-31597	50	19	score	score	NOUN
fcis-31597	50	20	even	even	ADV
fcis-31597	50	21	if	if	SCONJ
fcis-31597	50	22	one	one	PRON
fcis-31597	50	23	fits	fit	VERB
fcis-31597	50	24	the	the	DET
fcis-31597	50	25	object	object	NOUN
fcis-31597	50	26	markedly	markedly	ADV
fcis-31597	50	27	better	well	ADV
fcis-31597	50	28	,	,	PUNCT
fcis-31597	50	29	because	because	SCONJ
fcis-31597	50	30	the	the	DET
fcis-31597	50	31	training	training	NOUN
fcis-31597	50	32	objectives	objective	NOUN
fcis-31597	50	33	do	do	AUX
fcis-31597	50	34	not	not	PART
fcis-31597	50	35	directly	directly	ADV
fcis-31597	50	36	penalize	penalize	VERB
fcis-31597	50	37	such	such	ADJ
fcis-31597	50	38	intra	intra	ADJ
fcis-31597	50	39	-	-	ADJ
fcis-31597	50	40	set	set	ADJ
fcis-31597	50	41	ranking	ranking	ADJ
fcis-31597	50	42	errors	error	NOUN
fcis-31597	50	43	.	.	PUNCT
fcis-31597	51	1	cross	cross	ADJ
fcis-31597	51	2	-	-	ADJ
fcis-31597	51	3	scale	scale	ADJ
fcis-31597	51	4	representation	representation	NOUN
fcis-31597	51	5	:	:	PUNCT
fcis-31597	51	6	feature	feature	NOUN
fcis-31597	51	7	pyramid	pyramid	NOUN
fcis-31597	51	8	networks	network	NOUN
fcis-31597	51	9	(	(	PUNCT
fcis-31597	51	10	fpn	fpn	ADJ
fcis-31597	51	11	)	)	PUNCT
fcis-31597	51	12	and	and	CCONJ
fcis-31597	51	13	their	their	PRON
fcis-31597	51	14	extensions	extension	NOUN
fcis-31597	51	15	are	be	AUX
fcis-31597	51	16	key	key	ADJ
fcis-31597	51	17	to	to	ADP
fcis-31597	51	18	multi	multi	ADJ
fcis-31597	51	19	-	-	ADJ
fcis-31597	51	20	scale	scale	ADJ
fcis-31597	51	21	feature	feature	NOUN
fcis-31597	51	22	aggregation	aggregation	NOUN
fcis-31597	51	23	.	.	PUNCT
fcis-31597	52	1	fpn	fpn	PROPN
fcis-31597	52	2	introduced	introduce	VERB
fcis-31597	52	3	a	a	DET
fcis-31597	52	4	top	top	ADJ
fcis-31597	52	5	-	-	PUNCT
fcis-31597	52	6	down	down	ADP
fcis-31597	52	7	pathway	pathway	NOUN
fcis-31597	52	8	and	and	CCONJ
fcis-31597	52	9	lateral	lateral	ADJ
fcis-31597	52	10	connections	connection	NOUN
fcis-31597	52	11	to	to	PART
fcis-31597	52	12	merge	merge	VERB
fcis-31597	52	13	semantic	semantic	ADJ
fcis-31597	52	14	information	information	NOUN
fcis-31597	52	15	into	into	ADP
fcis-31597	52	16	highresolution	highresolution	NOUN
fcis-31597	52	17	feature	feature	NOUN
fcis-31597	52	18	maps[13	maps[13	PROPN
fcis-31597	52	19	]	]	PUNCT
fcis-31597	52	20	.	.	PUNCT
fcis-31597	53	1	panet	panet	PROPN
fcis-31597	53	2	added	add	VERB
fcis-31597	53	3	a	a	DET
fcis-31597	53	4	bottom	bottom	ADJ
fcis-31597	53	5	-	-	PUNCT
fcis-31597	53	6	up	up	ADP
fcis-31597	53	7	path	path	NOUN
fcis-31597	53	8	to	to	PART
fcis-31597	53	9	further	far	ADV
fcis-31597	53	10	propagate	propagate	VERB
fcis-31597	53	11	low	low	ADJ
fcis-31597	53	12	-	-	PUNCT
fcis-31597	53	13	level	level	NOUN
fcis-31597	53	14	details	detail	NOUN
fcis-31597	53	15	upward	upward	ADV
fcis-31597	53	16	for	for	ADP
fcis-31597	53	17	instance	instance	NOUN
fcis-31597	53	18	segmentation	segmentation	NOUN
fcis-31597	53	19	tasks[14	tasks[14	PROPN
fcis-31597	53	20	]	]	PUNCT
fcis-31597	53	21	.	.	PUNCT
fcis-31597	54	1	bifpn	bifpn	PROPN
fcis-31597	54	2	,	,	PUNCT
fcis-31597	54	3	as	as	SCONJ
fcis-31597	54	4	used	use	VERB
fcis-31597	54	5	in	in	ADP
fcis-31597	54	6	efficientdet	efficientdet	PROPN
fcis-31597	54	7	,	,	PUNCT
fcis-31597	54	8	improved	improve	VERB
fcis-31597	54	9	on	on	ADP
fcis-31597	54	10	these	these	PRON
fcis-31597	54	11	by	by	ADP
fcis-31597	54	12	introducing	introduce	VERB
fcis-31597	54	13	learnable	learnable	ADJ
fcis-31597	54	14	weighted	weight	VERB
fcis-31597	54	15	fusion	fusion	NOUN
fcis-31597	54	16	in	in	ADP
fcis-31597	54	17	a	a	DET
fcis-31597	54	18	bidirectional	bidirectional	ADJ
fcis-31597	54	19	pyramid	pyramid	NOUN
fcis-31597	54	20	,	,	PUNCT
fcis-31597	54	21	achieving	achieve	VERB
fcis-31597	54	22	higher	high	ADJ
fcis-31597	54	23	efficiency	efficiency	NOUN
fcis-31597	54	24	and	and	CCONJ
fcis-31597	54	25	better	well	ADJ
fcis-31597	54	26	feature	feature	NOUN
fcis-31597	54	27	reuse[15	reuse[15	NOUN
fcis-31597	54	28	]	]	PUNCT
fcis-31597	54	29	.	.	PUNCT
fcis-31597	55	1	on	on	ADP
fcis-31597	55	2	the	the	DET
fcis-31597	55	3	other	other	ADJ
fcis-31597	55	4	hand	hand	NOUN
fcis-31597	55	5	,	,	PUNCT
fcis-31597	55	6	deformable	deformable	ADJ
fcis-31597	55	7	convolution	convolution	NOUN
fcis-31597	55	8	and	and	CCONJ
fcis-31597	55	9	attention	attention	NOUN
fcis-31597	55	10	mechanisms	mechanism	NOUN
fcis-31597	55	11	provide	provide	VERB
fcis-31597	55	12	spatial	spatial	ADJ
fcis-31597	55	13	adaptivity	adaptivity	NOUN
fcis-31597	55	14	.	.	PUNCT
fcis-31597	56	1	dcnv2	dcnv2	PROPN
fcis-31597	56	2	added	add	VERB
fcis-31597	56	3	learnable	learnable	ADJ
fcis-31597	56	4	offsets	offset	NOUN
fcis-31597	56	5	and	and	CCONJ
fcis-31597	56	6	modulation	modulation	NOUN
fcis-31597	56	7	to	to	ADP
fcis-31597	56	8	standard	standard	ADJ
fcis-31597	56	9	convolutions	convolution	NOUN
fcis-31597	56	10	,	,	PUNCT
fcis-31597	56	11	enabling	enable	VERB
fcis-31597	56	12	sparse	sparse	ADJ
fcis-31597	56	13	,	,	PUNCT
fcis-31597	56	14	adaptive	adaptive	ADJ
fcis-31597	56	15	sampling	sample	VERB
fcis-31597	56	16	that	that	PRON
fcis-31597	56	17	greatly	greatly	ADV
fcis-31597	56	18	improves	improve	VERB
fcis-31597	56	19	handling	handling	NOUN
fcis-31597	56	20	of	of	ADP
fcis-31597	56	21	object	object	NOUN
fcis-31597	56	22	scale	scale	NOUN
fcis-31597	56	23	variation	variation	NOUN
fcis-31597	56	24	and	and	CCONJ
fcis-31597	56	25	deformation	deformation	NOUN
fcis-31597	56	26	.	.	PUNCT
fcis-31597	57	1	deformable	deformable	ADJ
fcis-31597	57	2	detr[5][6	detr[5][6	NOUN
fcis-31597	57	3	]	]	PUNCT
fcis-31597	57	4	applied	apply	VERB
fcis-31597	57	5	a	a	DET
fcis-31597	57	6	similar	similar	ADJ
fcis-31597	57	7	idea	idea	NOUN
fcis-31597	57	8	in	in	ADP
fcis-31597	57	9	the	the	DET
fcis-31597	57	10	context	context	NOUN
fcis-31597	57	11	of	of	ADP
fcis-31597	57	12	transformers	transformer	NOUN
fcis-31597	57	13	,	,	PUNCT
fcis-31597	57	14	focusing	focus	VERB
fcis-31597	57	15	attention	attention	NOUN
fcis-31597	57	16	to	to	ADP
fcis-31597	57	17	a	a	DET
fcis-31597	57	18	small	small	ADJ
fcis-31597	57	19	set	set	NOUN
fcis-31597	57	20	of	of	ADP
fcis-31597	57	21	key	key	ADJ
fcis-31597	57	22	features	feature	NOUN
fcis-31597	57	23	across	across	ADP
fcis-31597	57	24	scales	scale	NOUN
fcis-31597	57	25	instead	instead	ADV
fcis-31597	57	26	of	of	ADP
fcis-31597	57	27	dense	dense	ADJ
fcis-31597	57	28	global	global	ADJ
fcis-31597	57	29	attention	attention	NOUN
fcis-31597	57	30	,	,	PUNCT
fcis-31597	57	31	which	which	PRON
fcis-31597	57	32	accelerated	accelerate	VERB
fcis-31597	57	33	convergence	convergence	NOUN
fcis-31597	57	34	and	and	CCONJ
fcis-31597	57	35	improved	improved	ADJ
fcis-31597	57	36	detection	detection	NOUN
fcis-31597	57	37	of	of	ADP
fcis-31597	57	38	small	small	ADJ
fcis-31597	57	39	objects	object	NOUN
fcis-31597	57	40	.	.	PUNCT
fcis-31597	58	1	these	these	DET
fcis-31597	58	2	innovations	innovation	NOUN
fcis-31597	58	3	have	have	AUX
fcis-31597	58	4	each	each	PRON
fcis-31597	58	5	shown	show	VERB
fcis-31597	58	6	significant	significant	ADJ
fcis-31597	58	7	improvements	improvement	NOUN
fcis-31597	58	8	in	in	ADP
fcis-31597	58	9	feature	feature	NOUN
fcis-31597	58	10	fusion	fusion	NOUN
fcis-31597	58	11	or	or	CCONJ
fcis-31597	58	12	spatial	spatial	ADJ
fcis-31597	58	13	modeling	modeling	NOUN
fcis-31597	58	14	across	across	ADP
fcis-31597	58	15	scales	scale	NOUN
fcis-31597	58	16	.	.	PUNCT
fcis-31597	59	1	however	however	ADV
fcis-31597	59	2	,	,	PUNCT
fcis-31597	59	3	applying	apply	VERB
fcis-31597	59	4	sparse	sparse	ADJ
fcis-31597	59	5	deformable	deformable	ADJ
fcis-31597	59	6	sampling	sampling	NOUN
fcis-31597	59	7	directly	directly	ADV
fcis-31597	59	8	within	within	ADP
fcis-31597	59	9	a	a	DET
fcis-31597	59	10	yolo	yolo	ADJ
fcis-31597	59	11	detector	detector	NOUN
fcis-31597	59	12	's	's	PART
fcis-31597	59	13	head	head	NOUN
fcis-31597	59	14	for	for	ADP
fcis-31597	59	15	cross	cross	ADJ
fcis-31597	59	16	-	-	ADJ
fcis-31597	59	17	scale	scale	ADJ
fcis-31597	59	18	feature	feature	NOUN
fcis-31597	59	19	fusion	fusion	NOUN
fcis-31597	59	20	–	–	PUNCT
fcis-31597	59	21	and	and	CCONJ
fcis-31597	59	22	doing	do	VERB
fcis-31597	59	23	so	so	ADV
fcis-31597	59	24	under	under	ADP
fcis-31597	59	25	real	real	ADJ
fcis-31597	59	26	-	-	PUNCT
fcis-31597	59	27	time	time	NOUN
fcis-31597	59	28	constraints	constraint	NOUN
fcis-31597	59	29	–	–	PUNCT
fcis-31597	59	30	has	have	AUX
fcis-31597	59	31	not	not	PART
fcis-31597	59	32	been	be	AUX
fcis-31597	59	33	systematically	systematically	ADV
fcis-31597	59	34	explored	explore	VERB
fcis-31597	59	35	.	.	PUNCT
fcis-31597	60	1	we	we	PRON
fcis-31597	60	2	lack	lack	VERB
fcis-31597	60	3	a	a	DET
fcis-31597	60	4	design	design	NOUN
fcis-31597	60	5	that	that	PRON
fcis-31597	60	6	brings	bring	VERB
fcis-31597	60	7	together	together	ADV
fcis-31597	60	8	the	the	DET
fcis-31597	60	9	efficiency	efficiency	NOUN
fcis-31597	60	10	of	of	ADP
fcis-31597	60	11	the	the	DET
fcis-31597	60	12	convolutional	convolutional	ADJ
fcis-31597	60	13	paradigm	paradigm	NOUN
fcis-31597	60	14	with	with	ADP
fcis-31597	60	15	the	the	DET
fcis-31597	60	16	adaptivity	adaptivity	NOUN
fcis-31597	60	17	of	of	ADP
fcis-31597	60	18	deformable	deformable	ADJ
fcis-31597	60	19	sampling	sampling	NOUN
fcis-31597	60	20	in	in	ADP
fcis-31597	60	21	the	the	DET
fcis-31597	60	22	context	context	NOUN
fcis-31597	60	23	of	of	ADP
fcis-31597	60	24	yolo	yolo	PROPN
fcis-31597	60	25	's	's	PART
fcis-31597	60	26	high	high	ADJ
fcis-31597	60	27	-	-	PUNCT
fcis-31597	60	28	throughput	throughput	NOUN
fcis-31597	60	29	detection	detection	NOUN
fcis-31597	60	30	pipeline	pipeline	NOUN
fcis-31597	60	31	.	.	PUNCT
fcis-31597	61	1	ranking	ranking	NOUN
fcis-31597	61	2	-	-	PUNCT
fcis-31597	61	3	based	base	VERB
fcis-31597	61	4	losses	loss	NOUN
fcis-31597	61	5	:	:	PUNCT
fcis-31597	61	6	some	some	DET
fcis-31597	61	7	recent	recent	ADJ
fcis-31597	61	8	works	work	NOUN
fcis-31597	61	9	address	address	VERB
fcis-31597	61	10	the	the	DET
fcis-31597	61	11	misalignment	misalignment	NOUN
fcis-31597	61	12	problem	problem	NOUN
fcis-31597	61	13	from	from	ADP
fcis-31597	61	14	a	a	DET
fcis-31597	61	15	ranking	ranking	ADJ
fcis-31597	61	16	perspective	perspective	NOUN
fcis-31597	61	17	.	.	PUNCT
fcis-31597	62	1	for	for	ADP
fcis-31597	62	2	30	30	NUM
fcis-31597	62	3	example	example	NOUN
fcis-31597	62	4	,	,	PUNCT
fcis-31597	62	5	pisa	pisa	PROPN
fcis-31597	62	6	reweights	reweight	NOUN
fcis-31597	62	7	training	training	NOUN
fcis-31597	62	8	samples	sample	NOUN
fcis-31597	62	9	so	so	SCONJ
fcis-31597	62	10	that	that	SCONJ
fcis-31597	62	11	proposals	proposal	NOUN
fcis-31597	62	12	with	with	ADP
fcis-31597	62	13	higher	high	ADJ
fcis-31597	62	14	iou	iou	NOUN
fcis-31597	62	15	(	(	PUNCT
fcis-31597	62	16	so	so	ADV
fcis-31597	62	17	-	-	PUNCT
fcis-31597	62	18	called	call	VERB
fcis-31597	62	19	“	"	PUNCT
fcis-31597	62	20	prime	prime	ADJ
fcis-31597	62	21	samples	sample	NOUN
fcis-31597	62	22	”	"	PUNCT
fcis-31597	62	23	)	)	PUNCT
fcis-31597	62	24	receive	receive	VERB
fcis-31597	62	25	greater	great	ADJ
fcis-31597	62	26	attention	attention	NOUN
fcis-31597	62	27	during	during	ADP
fcis-31597	62	28	training	training	NOUN
fcis-31597	62	29	,	,	PUNCT
fcis-31597	62	30	thereby	thereby	ADV
fcis-31597	62	31	indirectly	indirectly	ADV
fcis-31597	62	32	improving	improve	VERB
fcis-31597	62	33	the	the	DET
fcis-31597	62	34	correlation	correlation	NOUN
fcis-31597	62	35	between	between	ADP
fcis-31597	62	36	classification	classification	NOUN
fcis-31597	62	37	scores	score	NOUN
fcis-31597	62	38	and	and	CCONJ
fcis-31597	62	39	localization	localization	NOUN
fcis-31597	62	40	quality[16	quality[16	PROPN
fcis-31597	62	41	]	]	PUNCT
fcis-31597	62	42	.	.	PUNCT
fcis-31597	63	1	more	more	ADV
fcis-31597	63	2	explicitly	explicitly	ADV
fcis-31597	63	3	,	,	PUNCT
fcis-31597	63	4	average	average	ADJ
fcis-31597	63	5	precision	precision	NOUN
fcis-31597	63	6	(	(	PUNCT
fcis-31597	63	7	ap	ap	NOUN
fcis-31597	63	8	)	)	PUNCT
fcis-31597	63	9	loss	loss	NOUN
fcis-31597	63	10	and	and	CCONJ
fcis-31597	63	11	alrp	alrp	NOUN
fcis-31597	63	12	loss	loss	NOUN
fcis-31597	63	13	formulate	formulate	VERB
fcis-31597	63	14	the	the	DET
fcis-31597	63	15	training	training	NOUN
fcis-31597	63	16	objective	objective	NOUN
fcis-31597	63	17	to	to	PART
fcis-31597	63	18	approximate	approximate	VERB
fcis-31597	63	19	the	the	DET
fcis-31597	63	20	ap	ap	PROPN
fcis-31597	63	21	metric	metric	NOUN
fcis-31597	63	22	,	,	PUNCT
fcis-31597	63	23	encouraging	encourage	VERB
fcis-31597	63	24	the	the	DET
fcis-31597	63	25	network	network	NOUN
fcis-31597	63	26	to	to	PART
fcis-31597	63	27	rank	rank	VERB
fcis-31597	63	28	positive	positive	ADJ
fcis-31597	63	29	instances	instance	NOUN
fcis-31597	63	30	above	above	ADP
fcis-31597	63	31	negatives	negative	NOUN
fcis-31597	63	32	in	in	ADP
fcis-31597	63	33	terms	term	NOUN
fcis-31597	63	34	of	of	ADP
fcis-31597	63	35	confidence	confidence	NOUN
fcis-31597	63	36	.	.	PUNCT
fcis-31597	64	1	the	the	DET
fcis-31597	64	2	rank	rank	NOUN
fcis-31597	64	3	&	&	CCONJ
fcis-31597	64	4	sort	sort	PROPN
fcis-31597	64	5	(	(	PUNCT
fcis-31597	64	6	rs	rs	NOUN
fcis-31597	64	7	)	)	PUNCT
fcis-31597	64	8	loss	loss	NOUN
fcis-31597	64	9	goes	go	VERB
fcis-31597	64	10	a	a	DET
fcis-31597	64	11	step	step	NOUN
fcis-31597	64	12	further	far	ADV
fcis-31597	64	13	:	:	PUNCT
fcis-31597	64	14	it	it	PRON
fcis-31597	64	15	not	not	PART
fcis-31597	64	16	only	only	ADV
fcis-31597	64	17	enforces	enforce	VERB
fcis-31597	64	18	that	that	SCONJ
fcis-31597	64	19	positive	positive	ADJ
fcis-31597	64	20	samples	sample	NOUN
fcis-31597	64	21	score	score	VERB
fcis-31597	64	22	higher	high	ADJ
fcis-31597	64	23	than	than	ADP
fcis-31597	64	24	negatives	negative	NOUN
fcis-31597	64	25	,	,	PUNCT
fcis-31597	64	26	but	but	CCONJ
fcis-31597	64	27	also	also	ADV
fcis-31597	64	28	imposes	impose	VERB
fcis-31597	64	29	an	an	DET
fcis-31597	64	30	ordering	ordering	NOUN
fcis-31597	64	31	among	among	ADP
fcis-31597	64	32	positive	positive	ADJ
fcis-31597	64	33	samples	sample	NOUN
fcis-31597	64	34	according	accord	VERB
fcis-31597	64	35	to	to	ADP
fcis-31597	64	36	their	their	PRON
fcis-31597	64	37	ious	ious	NOUN
fcis-31597	64	38	.	.	PUNCT
fcis-31597	65	1	these	these	DET
fcis-31597	65	2	ranking	rank	VERB
fcis-31597	65	3	losses	loss	NOUN
fcis-31597	65	4	have	have	AUX
fcis-31597	65	5	shown	show	VERB
fcis-31597	65	6	performance	performance	NOUN
fcis-31597	65	7	gains	gain	NOUN
fcis-31597	65	8	by	by	ADP
fcis-31597	65	9	directly	directly	ADV
fcis-31597	65	10	optimizing	optimize	VERB
fcis-31597	65	11	for	for	ADP
fcis-31597	65	12	the	the	DET
fcis-31597	65	13	detection	detection	NOUN
fcis-31597	65	14	ranking	ranking	NOUN
fcis-31597	65	15	criteria	criterion	NOUN
fcis-31597	65	16	.	.	PUNCT
fcis-31597	66	1	however	however	ADV
fcis-31597	66	2	,	,	PUNCT
fcis-31597	66	3	they	they	PRON
fcis-31597	66	4	have	have	AUX
fcis-31597	66	5	not	not	PART
fcis-31597	66	6	been	be	AUX
fcis-31597	66	7	unified	unify	VERB
fcis-31597	66	8	with	with	ADP
fcis-31597	66	9	quality	quality	NOUN
fcis-31597	66	10	-	-	PUNCT
fcis-31597	66	11	aware	aware	ADJ
fcis-31597	66	12	classification	classification	NOUN
fcis-31597	66	13	or	or	CCONJ
fcis-31597	66	14	nms	nms	NOUN
fcis-31597	66	15	-	-	PUNCT
fcis-31597	66	16	free	free	ADJ
fcis-31597	66	17	inference	inference	NOUN
fcis-31597	66	18	paradigms	paradigm	VERB
fcis-31597	66	19	.	.	PUNCT
fcis-31597	67	1	for	for	ADP
fcis-31597	67	2	instance	instance	NOUN
fcis-31597	67	3	,	,	PUNCT
fcis-31597	67	4	integrating	integrate	VERB
fcis-31597	67	5	alrp	alrp	NOUN
fcis-31597	67	6	or	or	CCONJ
fcis-31597	67	7	rs	rs	ADJ
fcis-31597	67	8	loss	loss	NOUN
fcis-31597	67	9	with	with	ADP
fcis-31597	67	10	the	the	DET
fcis-31597	67	11	one	one	NUM
fcis-31597	67	12	-	-	PUNCT
fcis-31597	67	13	to	to	ADP
fcis-31597	67	14	-	-	PUNCT
fcis-31597	67	15	one	one	NUM
fcis-31597	67	16	assignment	assignment	NOUN
fcis-31597	67	17	and	and	CCONJ
fcis-31597	67	18	end	end	NOUN
fcis-31597	67	19	-	-	PUNCT
fcis-31597	67	20	to	to	ADP
fcis-31597	67	21	-	-	PUNCT
fcis-31597	67	22	end	end	NOUN
fcis-31597	67	23	elimination	elimination	NOUN
fcis-31597	67	24	of	of	ADP
fcis-31597	67	25	nms	nms	PROPN
fcis-31597	67	26	(	(	PUNCT
fcis-31597	67	27	as	as	ADP
fcis-31597	67	28	in	in	ADP
fcis-31597	67	29	yolov10	yolov10	NOUN
fcis-31597	67	30	)	)	PUNCT
fcis-31597	67	31	is	be	AUX
fcis-31597	67	32	nontrivial	nontrivial	ADJ
fcis-31597	67	33	,	,	PUNCT
fcis-31597	67	34	and	and	CCONJ
fcis-31597	67	35	these	these	DET
fcis-31597	67	36	losses	loss	NOUN
fcis-31597	67	37	can	can	AUX
fcis-31597	67	38	conflict	conflict	VERB
fcis-31597	67	39	with	with	ADP
fcis-31597	67	40	or	or	CCONJ
fcis-31597	67	41	duplicate	duplicate	VERB
fcis-31597	67	42	the	the	DET
fcis-31597	67	43	effects	effect	NOUN
fcis-31597	67	44	of	of	ADP
fcis-31597	67	45	quality	quality	NOUN
fcis-31597	67	46	-	-	PUNCT
fcis-31597	67	47	prediction	prediction	NOUN
fcis-31597	67	48	branches	branch	NOUN
fcis-31597	67	49	.	.	PUNCT
fcis-31597	68	1	in	in	ADP
fcis-31597	68	2	summary	summary	NOUN
fcis-31597	68	3	,	,	PUNCT
fcis-31597	68	4	prior	prior	ADV
fcis-31597	68	5	ranking	rank	VERB
fcis-31597	68	6	-	-	PUNCT
fcis-31597	68	7	based	base	VERB
fcis-31597	68	8	approaches	approach	NOUN
fcis-31597	68	9	focus	focus	VERB
fcis-31597	68	10	on	on	ADP
fcis-31597	68	11	relative	relative	ADJ
fcis-31597	68	12	ordering	ordering	NOUN
fcis-31597	68	13	but	but	CCONJ
fcis-31597	68	14	do	do	AUX
fcis-31597	68	15	not	not	PART
fcis-31597	68	16	inherently	inherently	ADV
fcis-31597	68	17	ensure	ensure	VERB
fcis-31597	68	18	that	that	SCONJ
fcis-31597	68	19	the	the	DET
fcis-31597	68	20	model	model	NOUN
fcis-31597	68	21	's	's	PART
fcis-31597	68	22	output	output	NOUN
fcis-31597	68	23	scores	score	NOUN
fcis-31597	68	24	can	can	AUX
fcis-31597	68	25	serve	serve	VERB
fcis-31597	68	26	both	both	PRON
fcis-31597	68	27	ranking	rank	VERB
fcis-31597	68	28	and	and	CCONJ
fcis-31597	68	29	thresholding	thresholding	NOUN
fcis-31597	68	30	roles	role	NOUN
fcis-31597	68	31	seamlessly	seamlessly	ADV
fcis-31597	68	32	in	in	ADP
fcis-31597	68	33	an	an	DET
fcis-31597	68	34	end	end	NOUN
fcis-31597	68	35	-	-	PUNCT
fcis-31597	68	36	toend	toend	ADJ
fcis-31597	68	37	trained	train	VERB
fcis-31597	68	38	detector	detector	NOUN
fcis-31597	68	39	.	.	PUNCT
fcis-31597	69	1	1.3	1.3	NUM
fcis-31597	69	2	.	.	PUNCT
fcis-31597	70	1	our	our	PRON
fcis-31597	70	2	method	method	NOUN
fcis-31597	70	3	and	and	CCONJ
fcis-31597	70	4	contributions	contribution	NOUN
fcis-31597	70	5	to	to	PART
fcis-31597	70	6	bridge	bridge	VERB
fcis-31597	70	7	the	the	DET
fcis-31597	70	8	aforementioned	aforementione	VERB
fcis-31597	70	9	gaps	gap	NOUN
fcis-31597	70	10	on	on	ADP
fcis-31597	70	11	both	both	CCONJ
fcis-31597	70	12	the	the	DET
fcis-31597	70	13	architecture	architecture	NOUN
fcis-31597	70	14	side	side	NOUN
fcis-31597	70	15	and	and	CCONJ
fcis-31597	70	16	the	the	DET
fcis-31597	70	17	objective	objective	ADJ
fcis-31597	70	18	side	side	NOUN
fcis-31597	70	19	,	,	PUNCT
fcis-31597	70	20	we	we	PRON
fcis-31597	70	21	propose	propose	VERB
fcis-31597	70	22	yolo	yolo	PROPN
fcis-31597	70	23	-	-	PUNCT
fcis-31597	70	24	alignrank	alignrank	NOUN
fcis-31597	70	25	,	,	PUNCT
fcis-31597	70	26	which	which	PRON
fcis-31597	70	27	integrates	integrate	VERB
fcis-31597	70	28	solutions	solution	NOUN
fcis-31597	70	29	at	at	ADP
fcis-31597	70	30	both	both	DET
fcis-31597	70	31	ends	end	NOUN
fcis-31597	70	32	.	.	PUNCT
fcis-31597	71	1	csd	csd	NOUN
fcis-31597	71	2	-	-	PUNCT
fcis-31597	71	3	head	head	NOUN
fcis-31597	71	4	:	:	PUNCT
fcis-31597	71	5	we	we	PRON
fcis-31597	71	6	introduce	introduce	VERB
fcis-31597	71	7	a	a	DET
fcis-31597	71	8	cross	cross	ADJ
fcis-31597	71	9	-	-	ADJ
fcis-31597	71	10	scale	scale	ADJ
fcis-31597	71	11	sparse	sparse	ADJ
fcis-31597	71	12	deformable	deformable	ADJ
fcis-31597	71	13	head	head	NOUN
fcis-31597	71	14	that	that	PRON
fcis-31597	71	15	incorporates	incorporate	VERB
fcis-31597	71	16	cross	cross	ADJ
fcis-31597	71	17	-	-	ADJ
fcis-31597	71	18	scale	scale	ADJ
fcis-31597	71	19	deformable	deformable	ADJ
fcis-31597	71	20	sampling	sampling	NOUN
fcis-31597	71	21	and	and	CCONJ
fcis-31597	71	22	bidirectional	bidirectional	ADJ
fcis-31597	71	23	cross	cross	ADJ
fcis-31597	71	24	-	-	ADJ
fcis-31597	71	25	scale	scale	ADJ
fcis-31597	71	26	dynamic	dynamic	ADJ
fcis-31597	71	27	fusion	fusion	NOUN
fcis-31597	71	28	(	(	PUNCT
fcis-31597	71	29	bcdm	bcdm	PROPN
fcis-31597	71	30	)	)	PUNCT
fcis-31597	71	31	into	into	ADP
fcis-31597	71	32	the	the	DET
fcis-31597	71	33	yolo	yolo	ADJ
fcis-31597	71	34	decoupled	decouple	VERB
fcis-31597	71	35	head	head	NOUN
fcis-31597	71	36	.	.	PUNCT
fcis-31597	72	1	this	this	DET
fcis-31597	72	2	design	design	NOUN
fcis-31597	72	3	significantly	significantly	ADV
fcis-31597	72	4	improves	improve	VERB
fcis-31597	72	5	geometric	geometric	ADJ
fcis-31597	72	6	alignment	alignment	NOUN
fcis-31597	72	7	and	and	CCONJ
fcis-31597	72	8	context	context	NOUN
fcis-31597	72	9	aggregation	aggregation	NOUN
fcis-31597	72	10	across	across	ADP
fcis-31597	72	11	feature	feature	NOUN
fcis-31597	72	12	scales	scale	NOUN
fcis-31597	72	13	with	with	ADP
fcis-31597	72	14	virtually	virtually	ADV
fcis-31597	72	15	no	no	DET
fcis-31597	72	16	increase	increase	NOUN
fcis-31597	72	17	in	in	ADP
fcis-31597	72	18	inference	inference	NOUN
fcis-31597	72	19	latency	latency	NOUN
fcis-31597	72	20	.	.	PUNCT
fcis-31597	73	1	the	the	DET
fcis-31597	73	2	csd	csd	NOUN
fcis-31597	73	3	-	-	PUNCT
fcis-31597	73	4	head	head	NOUN
fcis-31597	73	5	is	be	AUX
fcis-31597	73	6	compatible	compatible	ADJ
fcis-31597	73	7	with	with	ADP
fcis-31597	73	8	existing	exist	VERB
fcis-31597	73	9	pan	pan	NOUN
fcis-31597	73	10	/	/	SYM
fcis-31597	73	11	bifpn[7][8	bifpn[7][8	NOUN
fcis-31597	73	12	]	]	PUNCT
fcis-31597	73	13	neck	neck	NOUN
fcis-31597	73	14	topologies	topology	NOUN
fcis-31597	73	15	,	,	PUNCT
fcis-31597	73	16	preserving	preserve	VERB
fcis-31597	73	17	yolo	yolo	PROPN
fcis-31597	73	18	's	's	PART
fcis-31597	73	19	characteristic	characteristic	ADJ
fcis-31597	73	20	high	high	ADJ
fcis-31597	73	21	throughput	throughput	NOUN
fcis-31597	73	22	.	.	PUNCT
fcis-31597	74	1	rcq	rcq	NOUN
fcis-31597	74	2	-	-	PUNCT
fcis-31597	74	3	loss	loss	NOUN
fcis-31597	74	4	:	:	PUNCT
fcis-31597	74	5	we	we	PRON
fcis-31597	74	6	formulate	formulate	VERB
fcis-31597	74	7	a	a	DET
fcis-31597	74	8	rank	rank	NOUN
fcis-31597	74	9	-	-	PUNCT
fcis-31597	74	10	consistent	consistent	ADJ
fcis-31597	74	11	quality	quality	NOUN
fcis-31597	74	12	loss	loss	NOUN
fcis-31597	74	13	that	that	PRON
fcis-31597	74	14	,	,	PUNCT
fcis-31597	74	15	for	for	ADP
fcis-31597	74	16	each	each	DET
fcis-31597	74	17	object	object	NOUN
fcis-31597	74	18	's	's	PART
fcis-31597	74	19	candidate	candidate	NOUN
fcis-31597	74	20	set	set	NOUN
fcis-31597	74	21	s	s	PART
fcis-31597	74	22	,	,	PUNCT
fcis-31597	74	23	uses	use	VERB
fcis-31597	74	24	a	a	DET
fcis-31597	74	25	softmax	softmax	NOUN
fcis-31597	74	26	-	-	PUNCT
fcis-31597	74	27	based	base	VERB
fcis-31597	74	28	list	list	NOUN
fcis-31597	74	29	alignment	alignment	NOUN
fcis-31597	74	30	to	to	PART
fcis-31597	74	31	match	match	VERB
fcis-31597	74	32	the	the	DET
fcis-31597	74	33	distribution	distribution	NOUN
fcis-31597	74	34	of	of	ADP
fcis-31597	74	35	predicted	predict	VERB
fcis-31597	74	36	scores	score	NOUN
fcis-31597	74	37	s	s	NOUN
fcis-31597	74	38	to	to	ADP
fcis-31597	74	39	the	the	DET
fcis-31597	74	40	iou	iou	NOUN
fcis-31597	74	41	-	-	PUNCT
fcis-31597	74	42	derived	derive	VERB
fcis-31597	74	43	quality	quality	NOUN
fcis-31597	74	44	scores	score	NOUN
fcis-31597	74	45	q	q	X
fcis-31597	74	46	,	,	PUNCT
fcis-31597	74	47	and	and	CCONJ
fcis-31597	74	48	a	a	DET
fcis-31597	74	49	pairwise	pairwise	NOUN
fcis-31597	74	50	hinge	hinge	NOUN
fcis-31597	74	51	loss	loss	NOUN
fcis-31597	74	52	to	to	PART
fcis-31597	74	53	enforce	enforce	VERB
fcis-31597	74	54	the	the	DET
fcis-31597	74	55	correct	correct	ADJ
fcis-31597	74	56	order	order	NOUN
fcis-31597	74	57	for	for	ADP
fcis-31597	74	58	every	every	DET
fcis-31597	74	59	pair	pair	NOUN
fcis-31597	74	60	of	of	ADP
fcis-31597	74	61	candidates	candidate	NOUN
fcis-31597	74	62	.	.	PUNCT
fcis-31597	75	1	this	this	PRON
fcis-31597	75	2	is	be	AUX
fcis-31597	75	3	combined	combine	VERB
fcis-31597	75	4	with	with	ADP
fcis-31597	75	5	a	a	DET
fcis-31597	75	6	standard	standard	ADJ
fcis-31597	75	7	quality	quality	NOUN
fcis-31597	75	8	-	-	PUNCT
fcis-31597	75	9	aware	aware	ADJ
fcis-31597	75	10	bce	bce	PROPN
fcis-31597	75	11	classification	classification	NOUN
fcis-31597	75	12	loss	loss	NOUN
fcis-31597	75	13	for	for	ADP
fcis-31597	75	14	individual	individual	ADJ
fcis-31597	75	15	predictions	prediction	NOUN
fcis-31597	75	16	,	,	PUNCT
fcis-31597	75	17	aligning	align	VERB
fcis-31597	75	18	score	score	NOUN
fcis-31597	75	19	with	with	ADP
fcis-31597	75	20	quality	quality	NOUN
fcis-31597	75	21	at	at	ADP
fcis-31597	75	22	both	both	DET
fcis-31597	75	23	distribution	distribution	NOUN
fcis-31597	75	24	level	level	NOUN
fcis-31597	75	25	and	and	CCONJ
fcis-31597	75	26	instance	instance	NOUN
fcis-31597	75	27	level	level	NOUN
fcis-31597	75	28	.	.	PUNCT
fcis-31597	76	1	by	by	ADP
fcis-31597	76	2	addressing	address	VERB
fcis-31597	76	3	the	the	DET
fcis-31597	76	4	misalignment	misalignment	NOUN
fcis-31597	76	5	on	on	ADP
fcis-31597	76	6	both	both	CCONJ
fcis-31597	76	7	a	a	DET
fcis-31597	76	8	soft	soft	ADJ
fcis-31597	76	9	distributional	distributional	ADJ
fcis-31597	76	10	and	and	CCONJ
fcis-31597	76	11	hard	hard	ADV
fcis-31597	76	12	ranking	ranking	ADJ
fcis-31597	76	13	level	level	NOUN
fcis-31597	76	14	,	,	PUNCT
fcis-31597	76	15	rcq	rcq	NOUN
fcis-31597	76	16	-	-	PUNCT
fcis-31597	76	17	loss	loss	NOUN
fcis-31597	76	18	rectifies	rectify	VERB
fcis-31597	76	19	the	the	DET
fcis-31597	76	20	score	score	NOUN
fcis-31597	76	21	–	–	PUNCT
fcis-31597	76	22	quality	quality	NOUN
fcis-31597	76	23	mismatch	mismatch	NOUN
fcis-31597	76	24	more	more	ADV
fcis-31597	76	25	thoroughly	thoroughly	ADV
fcis-31597	76	26	than	than	ADP
fcis-31597	76	27	previous	previous	ADJ
fcis-31597	76	28	approaches	approach	NOUN
fcis-31597	76	29	.	.	PUNCT
fcis-31597	77	1	synergy	synergy	NOUN
fcis-31597	77	2	with	with	ADP
fcis-31597	77	3	modern	modern	ADJ
fcis-31597	77	4	yolo	yolo	ADJ
fcis-31597	77	5	framework	framework	NOUN
fcis-31597	77	6	:	:	PUNCT
fcis-31597	77	7	our	our	PRON
fcis-31597	77	8	method	method	NOUN
fcis-31597	77	9	is	be	AUX
fcis-31597	77	10	designed	design	VERB
fcis-31597	77	11	to	to	PART
fcis-31597	77	12	plug	plug	VERB
fcis-31597	77	13	and	and	CCONJ
fcis-31597	77	14	play	play	VERB
fcis-31597	77	15	with	with	ADP
fcis-31597	77	16	contemporary	contemporary	ADJ
fcis-31597	77	17	yolo	yolo	ADJ
fcis-31597	77	18	training	training	NOUN
fcis-31597	77	19	frameworks	framework	NOUN
fcis-31597	77	20	.	.	PUNCT
fcis-31597	78	1	it	it	PRON
fcis-31597	78	2	can	can	AUX
fcis-31597	78	3	be	be	AUX
fcis-31597	78	4	combined	combine	VERB
fcis-31597	78	5	with	with	ADP
fcis-31597	78	6	advanced	advanced	ADJ
fcis-31597	78	7	label	label	NOUN
fcis-31597	78	8	assignment	assignment	NOUN
fcis-31597	78	9	strategies	strategy	NOUN
fcis-31597	78	10	like	like	ADP
fcis-31597	78	11	simota	simota	NOUN
fcis-31597	78	12	(	(	PUNCT
fcis-31597	78	13	as	as	ADP
fcis-31597	78	14	in	in	ADP
fcis-31597	78	15	yolox	yolox	NOUN
fcis-31597	78	16	)	)	PUNCT
fcis-31597	78	17	or	or	CCONJ
fcis-31597	78	18	atss	atss	PROPN
fcis-31597	78	19	,	,	PUNCT
fcis-31597	78	20	it	it	PRON
fcis-31597	78	21	complements	complement	VERB
fcis-31597	78	22	the	the	DET
fcis-31597	78	23	training	training	NOUN
fcis-31597	78	24	-	-	PUNCT
fcis-31597	78	25	time	time	NOUN
fcis-31597	78	26	augmentations	augmentation	NOUN
fcis-31597	78	27	and	and	CCONJ
fcis-31597	78	28	techniques	technique	NOUN
fcis-31597	78	29	introduced	introduce	VERB
fcis-31597	78	30	in	in	ADP
fcis-31597	78	31	yolov9	yolov9	PROPN
fcis-31597	78	32	,	,	PUNCT
fcis-31597	78	33	and	and	CCONJ
fcis-31597	78	34	it	it	PRON
fcis-31597	78	35	aligns	align	VERB
fcis-31597	78	36	with	with	ADP
fcis-31597	78	37	yolov10	yolov10	NOUN
fcis-31597	78	38	's	's	PART
fcis-31597	78	39	consistent	consistent	ADJ
fcis-31597	78	40	dual	dual	ADJ
fcis-31597	78	41	assignments	assignment	NOUN
fcis-31597	78	42	for	for	ADP
fcis-31597	78	43	nms	nms	NOUN
fcis-31597	78	44	-	-	PUNCT
fcis-31597	78	45	free	free	ADJ
fcis-31597	78	46	training	training	NOUN
fcis-31597	78	47	.	.	PUNCT
fcis-31597	79	1	this	this	DET
fcis-31597	79	2	compatibility	compatibility	NOUN
fcis-31597	79	3	facilitates	facilitate	VERB
fcis-31597	79	4	true	true	ADJ
fcis-31597	79	5	end	end	NOUN
fcis-31597	79	6	-	-	PUNCT
fcis-31597	79	7	to	to	ADP
fcis-31597	79	8	-	-	PUNCT
fcis-31597	79	9	end	end	NOUN
fcis-31597	79	10	ranking	ranking	NOUN
fcis-31597	79	11	and	and	CCONJ
fcis-31597	79	12	selection	selection	NOUN
fcis-31597	79	13	in	in	ADP
fcis-31597	79	14	one	one	NUM
fcis-31597	79	15	-	-	PUNCT
fcis-31597	79	16	stage	stage	NOUN
fcis-31597	79	17	detectors	detector	NOUN
fcis-31597	79	18	without	without	ADP
fcis-31597	79	19	additional	additional	ADJ
fcis-31597	79	20	postprocessing	postprocessing	NOUN
fcis-31597	79	21	.	.	PUNCT
fcis-31597	80	1	1.4	1.4	NUM
fcis-31597	80	2	.	.	PUNCT
fcis-31597	81	1	design	design	NOUN
fcis-31597	81	2	intuition	intuition	NOUN
fcis-31597	81	3	and	and	CCONJ
fcis-31597	81	4	properties	property	NOUN
fcis-31597	81	5	cross	cross	ADJ
fcis-31597	81	6	-	-	ADJ
fcis-31597	81	7	scale	scale	ADJ
fcis-31597	81	8	robustness	robustness	NOUN
fcis-31597	81	9	:	:	PUNCT
fcis-31597	81	10	by	by	ADP
fcis-31597	81	11	enabling	enable	VERB
fcis-31597	81	12	each	each	DET
fcis-31597	81	13	prediction	prediction	NOUN
fcis-31597	81	14	head	head	NOUN
fcis-31597	81	15	cell	cell	NOUN
fcis-31597	81	16	to	to	PART
fcis-31597	81	17	sample	sample	VERB
fcis-31597	81	18	a	a	DET
fcis-31597	81	19	sparse	sparse	ADJ
fcis-31597	81	20	set	set	NOUN
fcis-31597	81	21	of	of	ADP
fcis-31597	81	22	pertinent	pertinent	ADJ
fcis-31597	81	23	features	feature	NOUN
fcis-31597	81	24	from	from	ADP
fcis-31597	81	25	adjacent	adjacent	ADJ
fcis-31597	81	26	scales	scale	NOUN
fcis-31597	81	27	,	,	PUNCT
fcis-31597	81	28	the	the	DET
fcis-31597	81	29	csd	csd	NOUN
fcis-31597	81	30	-	-	PUNCT
fcis-31597	81	31	head	head	NOUN
fcis-31597	81	32	reduces	reduce	VERB
fcis-31597	81	33	the	the	DET
fcis-31597	81	34	sensitivity	sensitivity	NOUN
fcis-31597	81	35	of	of	ADP
fcis-31597	81	36	the	the	DET
fcis-31597	81	37	detector	detector	NOUN
fcis-31597	81	38	to	to	PART
fcis-31597	81	39	object	object	VERB
fcis-31597	81	40	deformation	deformation	NOUN
fcis-31597	81	41	and	and	CCONJ
fcis-31597	81	42	scale	scale	NOUN
fcis-31597	81	43	variation	variation	NOUN
fcis-31597	81	44	.	.	PUNCT
fcis-31597	82	1	unlike	unlike	ADP
fcis-31597	82	2	a	a	DET
fcis-31597	82	3	fixed	fix	VERB
fcis-31597	82	4	-	-	PUNCT
fcis-31597	82	5	grid	grid	NOUN
fcis-31597	82	6	receptive	receptive	ADJ
fcis-31597	82	7	field	field	NOUN
fcis-31597	82	8	,	,	PUNCT
fcis-31597	82	9	the	the	DET
fcis-31597	82	10	deformable	deformable	ADJ
fcis-31597	82	11	sampling	sampling	NOUN
fcis-31597	82	12	can	can	AUX
fcis-31597	82	13	adapt	adapt	VERB
fcis-31597	82	14	to	to	ADP
fcis-31597	82	15	an	an	DET
fcis-31597	82	16	object	object	NOUN
fcis-31597	82	17	's	's	PART
fcis-31597	82	18	shape	shape	NOUN
fcis-31597	82	19	,	,	PUNCT
fcis-31597	82	20	improving	improve	VERB
fcis-31597	82	21	small	small	ADJ
fcis-31597	82	22	object	object	NOUN
fcis-31597	82	23	detection	detection	NOUN
fcis-31597	82	24	and	and	CCONJ
fcis-31597	82	25	aligning	align	VERB
fcis-31597	82	26	features	feature	NOUN
fcis-31597	82	27	to	to	PART
fcis-31597	82	28	object	object	VERB
fcis-31597	82	29	boundaries	boundary	NOUN
fcis-31597	82	30	.	.	PUNCT
fcis-31597	83	1	the	the	DET
fcis-31597	83	2	bidirectional	bidirectional	ADJ
fcis-31597	83	3	fusion	fusion	NOUN
fcis-31597	83	4	then	then	ADV
fcis-31597	83	5	ensures	ensure	VERB
fcis-31597	83	6	information	information	NOUN
fcis-31597	83	7	flows	flow	VERB
fcis-31597	83	8	both	both	CCONJ
fcis-31597	83	9	downward	downward	ADJ
fcis-31597	83	10	(	(	PUNCT
fcis-31597	83	11	enriching	enrich	VERB
fcis-31597	83	12	lower	low	ADJ
fcis-31597	83	13	-	-	PUNCT
fcis-31597	83	14	level	level	NOUN
fcis-31597	83	15	features	feature	NOUN
fcis-31597	83	16	with	with	ADP
fcis-31597	83	17	semantics	semantic	NOUN
fcis-31597	83	18	)	)	PUNCT
fcis-31597	83	19	and	and	CCONJ
fcis-31597	83	20	upward	upward	ADV
fcis-31597	83	21	(	(	PUNCT
fcis-31597	83	22	reinforcing	reinforce	VERB
fcis-31597	83	23	higher	high	ADJ
fcis-31597	83	24	-	-	PUNCT
fcis-31597	83	25	level	level	NOUN
fcis-31597	83	26	features	feature	NOUN
fcis-31597	83	27	with	with	ADP
fcis-31597	83	28	spatial	spatial	ADJ
fcis-31597	83	29	detail	detail	NOUN
fcis-31597	83	30	)	)	PUNCT
fcis-31597	83	31	,	,	PUNCT
fcis-31597	83	32	similar	similar	ADJ
fcis-31597	83	33	in	in	ADP
fcis-31597	83	34	spirit	spirit	NOUN
fcis-31597	83	35	to	to	ADP
fcis-31597	83	36	panet	panet	PROPN
fcis-31597	83	37	and	and	CCONJ
fcis-31597	83	38	bifpn	bifpn	PROPN
fcis-31597	83	39	.	.	PUNCT
fcis-31597	84	1	importantly	importantly	ADV
fcis-31597	84	2	,	,	PUNCT
fcis-31597	84	3	this	this	PRON
fcis-31597	84	4	is	be	AUX
fcis-31597	84	5	achieved	achieve	VERB
fcis-31597	84	6	with	with	ADP
fcis-31597	84	7	lightweight	lightweight	ADJ
fcis-31597	84	8	gating	gating	NOUN
fcis-31597	84	9	and	and	CCONJ
fcis-31597	84	10	dynamic	dynamic	ADJ
fcis-31597	84	11	convolutions	convolution	NOUN
fcis-31597	84	12	that	that	PRON
fcis-31597	84	13	add	add	VERB
fcis-31597	84	14	minimal	minimal	ADJ
fcis-31597	84	15	computation	computation	NOUN
fcis-31597	84	16	,	,	PUNCT
fcis-31597	84	17	so	so	CCONJ
fcis-31597	84	18	the	the	DET
fcis-31597	84	19	overall	overall	ADJ
fcis-31597	84	20	mac	mac	PROPN
fcis-31597	84	21	/	/	SYM
fcis-31597	84	22	parameter	parameter	NOUN
fcis-31597	84	23	distribution	distribution	NOUN
fcis-31597	84	24	of	of	ADP
fcis-31597	84	25	the	the	DET
fcis-31597	84	26	model	model	NOUN
fcis-31597	84	27	remains	remain	VERB
fcis-31597	84	28	nearly	nearly	ADV
fcis-31597	84	29	unchanged	unchanged	ADJ
fcis-31597	84	30	.	.	PUNCT
fcis-31597	85	1	the	the	DET
fcis-31597	85	2	result	result	NOUN
fcis-31597	85	3	is	be	AUX
fcis-31597	85	4	a	a	DET
fcis-31597	85	5	more	more	ADV
fcis-31597	85	6	robust	robust	ADJ
fcis-31597	85	7	multi	multi	ADJ
fcis-31597	85	8	-	-	ADJ
fcis-31597	85	9	scale	scale	ADJ
fcis-31597	85	10	representation	representation	NOUN
fcis-31597	85	11	without	without	ADP
fcis-31597	85	12	sacrificing	sacrifice	VERB
fcis-31597	85	13	real	real	ADJ
fcis-31597	85	14	-	-	PUNCT
fcis-31597	85	15	time	time	NOUN
fcis-31597	85	16	performance	performance	NOUN
fcis-31597	85	17	.	.	PUNCT
fcis-31597	86	1	ranking	rank	VERB
fcis-31597	86	2	consistency	consistency	NOUN
fcis-31597	86	3	:	:	PUNCT
fcis-31597	86	4	the	the	DET
fcis-31597	86	5	rcq	rcq	NOUN
fcis-31597	86	6	-	-	PUNCT
fcis-31597	86	7	loss	loss	NOUN
fcis-31597	86	8	imposes	impose	VERB
fcis-31597	86	9	both	both	CCONJ
fcis-31597	86	10	listwise	listwise	ADJ
fcis-31597	86	11	and	and	CCONJ
fcis-31597	86	12	pairwise	pairwise	NOUN
fcis-31597	86	13	constraints	constraint	NOUN
fcis-31597	86	14	so	so	SCONJ
fcis-31597	86	15	that	that	SCONJ
fcis-31597	86	16	the	the	DET
fcis-31597	86	17	classification	classification	NOUN
fcis-31597	86	18	score	score	NOUN
fcis-31597	86	19	alone	alone	ADV
fcis-31597	86	20	becomes	become	VERB
fcis-31597	86	21	a	a	DET
fcis-31597	86	22	reliable	reliable	ADJ
fcis-31597	86	23	indicator	indicator	NOUN
fcis-31597	86	24	for	for	ADP
fcis-31597	86	25	both	both	PRON
fcis-31597	86	26	ranking	rank	VERB
fcis-31597	86	27	and	and	CCONJ
fcis-31597	86	28	selecting	selecting	NOUN
fcis-31597	86	29	detections	detection	NOUN
fcis-31597	86	30	.	.	PUNCT
fcis-31597	87	1	this	this	PRON
fcis-31597	87	2	is	be	AUX
fcis-31597	87	3	particularly	particularly	ADV
fcis-31597	87	4	beneficial	beneficial	ADJ
fcis-31597	87	5	for	for	ADP
fcis-31597	87	6	nmsfree	nmsfree	ADJ
fcis-31597	87	7	detection	detection	NOUN
fcis-31597	87	8	pipelines	pipeline	NOUN
fcis-31597	87	9	,	,	PUNCT
fcis-31597	87	10	where	where	SCONJ
fcis-31597	87	11	the	the	DET
fcis-31597	87	12	model	model	NOUN
fcis-31597	87	13	must	must	AUX
fcis-31597	87	14	decide	decide	VERB
fcis-31597	87	15	which	which	DET
fcis-31597	87	16	predictions	prediction	NOUN
fcis-31597	87	17	to	to	PART
fcis-31597	87	18	keep	keep	VERB
fcis-31597	87	19	without	without	ADP
fcis-31597	87	20	an	an	DET
fcis-31597	87	21	external	external	ADJ
fcis-31597	87	22	iou	iou	NOUN
fcis-31597	87	23	-	-	PUNCT
fcis-31597	87	24	based	base	VERB
fcis-31597	87	25	suppression	suppression	NOUN
fcis-31597	87	26	step	step	NOUN
fcis-31597	87	27	.	.	PUNCT
fcis-31597	88	1	by	by	ADP
fcis-31597	88	2	training	train	VERB
fcis-31597	88	3	the	the	DET
fcis-31597	88	4	model	model	NOUN
fcis-31597	88	5	to	to	PART
fcis-31597	88	6	sort	sort	VERB
fcis-31597	88	7	predictions	prediction	NOUN
fcis-31597	88	8	by	by	ADP
fcis-31597	88	9	iou	iou	NOUN
fcis-31597	88	10	inherently	inherently	ADV
fcis-31597	88	11	,	,	PUNCT
fcis-31597	88	12	rcq	rcq	NOUN
fcis-31597	88	13	-	-	PUNCT
fcis-31597	88	14	loss	loss	NOUN
fcis-31597	88	15	reduces	reduce	VERB
fcis-31597	88	16	the	the	DET
fcis-31597	88	17	need	need	NOUN
fcis-31597	88	18	for	for	ADP
fcis-31597	88	19	a	a	DET
fcis-31597	88	20	separate	separate	ADJ
fcis-31597	88	21	iou	iou	NOUN
fcis-31597	88	22	prediction	prediction	NOUN
fcis-31597	88	23	head	head	NOUN
fcis-31597	88	24	or	or	CCONJ
fcis-31597	88	25	complex	complex	ADJ
fcis-31597	88	26	post	post	ADJ
fcis-31597	88	27	-	-	ADJ
fcis-31597	88	28	processing	processing	NOUN
fcis-31597	88	29	to	to	PART
fcis-31597	88	30	filter	filter	VERB
fcis-31597	88	31	lowquality	lowquality	NOUN
fcis-31597	88	32	boxes	box	NOUN
fcis-31597	88	33	.	.	PUNCT
fcis-31597	89	1	in	in	ADP
fcis-31597	89	2	other	other	ADJ
fcis-31597	89	3	words	word	NOUN
fcis-31597	89	4	,	,	PUNCT
fcis-31597	89	5	the	the	DET
fcis-31597	89	6	model	model	NOUN
fcis-31597	89	7	learns	learn	VERB
fcis-31597	89	8	to	to	AUX
fcis-31597	89	9	internally	internally	ADV
fcis-31597	89	10	score	score	VERB
fcis-31597	89	11	high	high	ADJ
fcis-31597	89	12	-	-	PUNCT
fcis-31597	89	13	iou	iou	NOUN
fcis-31597	89	14	detections	detection	NOUN
fcis-31597	89	15	higher	high	ADJ
fcis-31597	89	16	and	and	CCONJ
fcis-31597	89	17	low	low	ADJ
fcis-31597	89	18	-	-	PUNCT
fcis-31597	89	19	quality	quality	NOUN
fcis-31597	89	20	detections	detection	NOUN
fcis-31597	89	21	lower	lower	ADV
fcis-31597	89	22	,	,	PUNCT
fcis-31597	89	23	simplifying	simplify	VERB
fcis-31597	89	24	the	the	DET
fcis-31597	89	25	end	end	NOUN
fcis-31597	89	26	-	-	PUNCT
fcis-31597	89	27	to	to	ADP
fcis-31597	89	28	-	-	PUNCT
fcis-31597	89	29	end	end	NOUN
fcis-31597	89	30	detection	detection	NOUN
fcis-31597	89	31	procedure	procedure	NOUN
fcis-31597	89	32	.	.	PUNCT
fcis-31597	90	1	efficiency	efficiency	NOUN
fcis-31597	90	2	and	and	CCONJ
fcis-31597	90	3	deployment	deployment	NOUN
fcis-31597	90	4	:	:	PUNCT
fcis-31597	90	5	the	the	DET
fcis-31597	90	6	csd	csd	NOUN
fcis-31597	90	7	-	-	PUNCT
fcis-31597	90	8	head	head	NOUN
fcis-31597	90	9	is	be	AUX
fcis-31597	90	10	implemented	implement	VERB
fcis-31597	90	11	by	by	ADP
fcis-31597	90	12	adding	add	VERB
fcis-31597	90	13	only	only	ADV
fcis-31597	90	14	a	a	DET
fcis-31597	90	15	small	small	ADJ
fcis-31597	90	16	number	number	NOUN
fcis-31597	90	17	of	of	ADP
fcis-31597	90	18	deformable	deformable	ADJ
fcis-31597	90	19	sampling	sampling	NOUN
fcis-31597	90	20	offsets	offset	NOUN
fcis-31597	90	21	and	and	CCONJ
fcis-31597	90	22	a	a	DET
fcis-31597	90	23	few	few	ADJ
fcis-31597	90	24	dynamic	dynamic	ADJ
fcis-31597	90	25	convolution	convolution	NOUN
fcis-31597	90	26	layers	layer	NOUN
fcis-31597	90	27	to	to	ADP
fcis-31597	90	28	the	the	DET
fcis-31597	90	29	head	head	NOUN
fcis-31597	90	30	,	,	PUNCT
fcis-31597	90	31	which	which	PRON
fcis-31597	90	32	are	be	AUX
fcis-31597	90	33	highly	highly	ADV
fcis-31597	90	34	optimized	optimize	VERB
fcis-31597	90	35	operations	operation	NOUN
fcis-31597	90	36	on	on	ADP
fcis-31597	90	37	modern	modern	ADJ
fcis-31597	90	38	hardware	hardware	NOUN
fcis-31597	90	39	.	.	PUNCT
fcis-31597	91	1	the	the	DET
fcis-31597	91	2	rcq	rcq	NOUN
fcis-31597	91	3	-	-	PUNCT
fcis-31597	91	4	loss	loss	NOUN
fcis-31597	91	5	introduces	introduce	NOUN
fcis-31597	91	6	a	a	DET
fcis-31597	91	7	softmax	softmax	ADJ
fcis-31597	91	8	computation	computation	NOUN
fcis-31597	91	9	over	over	ADP
fcis-31597	91	10	each	each	DET
fcis-31597	91	11	object	object	NOUN
fcis-31597	91	12	's	's	PART
fcis-31597	91	13	candidates	candidate	NOUN
fcis-31597	91	14	and	and	CCONJ
fcis-31597	91	15	a	a	DET
fcis-31597	91	16	limited	limited	ADJ
fcis-31597	91	17	number	number	NOUN
fcis-31597	91	18	of	of	ADP
fcis-31597	91	19	pairwise	pairwise	NOUN
fcis-31597	91	20	comparisons	comparison	NOUN
fcis-31597	91	21	-	-	PUNCT
fcis-31597	91	22	operations	operation	NOUN
fcis-31597	91	23	that	that	PRON
fcis-31597	91	24	are	be	AUX
fcis-31597	91	25	efficient	efficient	ADJ
fcis-31597	91	26	and	and	CCONJ
fcis-31597	91	27	scale	scale	VERB
fcis-31597	91	28	with	with	ADP
fcis-31597	91	29	the	the	DET
fcis-31597	91	30	number	number	NOUN
fcis-31597	91	31	of	of	ADP
fcis-31597	91	32	positives	positive	NOUN
fcis-31597	91	33	in	in	ADP
fcis-31597	91	34	a	a	DET
fcis-31597	91	35	training	training	NOUN
fcis-31597	91	36	batch	batch	NOUN
fcis-31597	91	37	.	.	PUNCT
fcis-31597	92	1	therefore	therefore	ADV
fcis-31597	92	2	,	,	PUNCT
fcis-31597	92	3	our	our	PRON
fcis-31597	92	4	approach	approach	NOUN
fcis-31597	92	5	keeps	keep	VERB
fcis-31597	92	6	training	training	NOUN
fcis-31597	92	7	memory	memory	NOUN
fcis-31597	92	8	and	and	CCONJ
fcis-31597	92	9	time	time	NOUN
fcis-31597	92	10	overhead	overhead	ADV
fcis-31597	92	11	low	low	ADJ
fcis-31597	92	12	,	,	PUNCT
fcis-31597	92	13	and	and	CCONJ
fcis-31597	92	14	it	it	PRON
fcis-31597	92	15	does	do	AUX
fcis-31597	92	16	not	not	PART
fcis-31597	92	17	affect	affect	VERB
fcis-31597	92	18	inference	inference	NOUN
fcis-31597	92	19	throughput	throughput	NOUN
fcis-31597	92	20	(	(	PUNCT
fcis-31597	92	21	since	since	SCONJ
fcis-31597	92	22	rcq	rcq	NOUN
fcis-31597	92	23	-	-	PUNCT
fcis-31597	92	24	loss	loss	NOUN
fcis-31597	92	25	is	be	AUX
fcis-31597	92	26	only	only	ADV
fcis-31597	92	27	applied	apply	VERB
fcis-31597	92	28	during	during	ADP
fcis-31597	92	29	training	training	NOUN
fcis-31597	92	30	)	)	PUNCT
fcis-31597	92	31	.	.	PUNCT
fcis-31597	93	1	this	this	PRON
fcis-31597	93	2	makes	make	VERB
fcis-31597	93	3	yoloalignrank	yoloalignrank	NOUN
fcis-31597	93	4	practical	practical	ADJ
fcis-31597	93	5	for	for	ADP
fcis-31597	93	6	deployment	deployment	NOUN
fcis-31597	93	7	,	,	PUNCT
fcis-31597	93	8	as	as	SCONJ
fcis-31597	93	9	it	it	PRON
fcis-31597	93	10	preserves	preserve	VERB
fcis-31597	93	11	the	the	DET
fcis-31597	93	12	realtime	realtime	ADJ
fcis-31597	93	13	capabilities	capability	NOUN
fcis-31597	93	14	of	of	ADP
fcis-31597	93	15	yolo	yolo	ADJ
fcis-31597	93	16	detectors	detector	NOUN
fcis-31597	93	17	while	while	SCONJ
fcis-31597	93	18	significantly	significantly	ADV
fcis-31597	93	19	improving	improve	VERB
fcis-31597	93	20	their	their	PRON
fcis-31597	93	21	ranking	rank	VERB
fcis-31597	93	22	accuracy	accuracy	NOUN
fcis-31597	93	23	.	.	PUNCT
fcis-31597	94	1	2	2	X
fcis-31597	94	2	.	.	X
fcis-31597	94	3	methodology	methodology	NOUN
fcis-31597	94	4	2.1	2.1	NUM
fcis-31597	94	5	.	.	PUNCT
fcis-31597	95	1	framework	framework	NOUN
fcis-31597	95	2	overview	overview	VERB
fcis-31597	95	3	our	our	PRON
fcis-31597	95	4	proposed	propose	VERB
fcis-31597	95	5	yolo	yolo	ADJ
fcis-31597	95	6	-	-	PUNCT
fcis-31597	95	7	alignrank	alignrank	NOUN
fcis-31597	95	8	introduces	introduce	VERB
fcis-31597	95	9	two	two	NUM
fcis-31597	95	10	key	key	ADJ
fcis-31597	95	11	innovations	innovation	NOUN
fcis-31597	95	12	-	-	PUNCT
fcis-31597	95	13	one	one	NUM
fcis-31597	95	14	architectural	architectural	ADJ
fcis-31597	95	15	and	and	CCONJ
fcis-31597	95	16	one	one	NUM
fcis-31597	95	17	loss	loss	NOUN
fcis-31597	95	18	function	function	NOUN
fcis-31597	95	19	-	-	PUNCT
fcis-31597	95	20	that	that	DET
fcis-31597	95	21	work	work	NOUN
fcis-31597	95	22	in	in	ADP
fcis-31597	95	23	tandem	tandem	PROPN
fcis-31597	95	24	:	:	PUNCT
fcis-31597	95	25	(	(	PUNCT
fcis-31597	95	26	1	1	X
fcis-31597	95	27	)	)	PUNCT
fcis-31597	95	28	csd	csd	NOUN
fcis-31597	95	29	-	-	PUNCT
fcis-31597	95	30	head	head	NOUN
fcis-31597	95	31	:	:	PUNCT
fcis-31597	95	32	this	this	PRON
fcis-31597	95	33	is	be	AUX
fcis-31597	95	34	a	a	DET
fcis-31597	95	35	structural	structural	ADJ
fcis-31597	95	36	innovation	innovation	NOUN
fcis-31597	95	37	inserted	insert	VERB
fcis-31597	95	38	between	between	ADP
fcis-31597	95	39	the	the	DET
fcis-31597	95	40	neck	neck	NOUN
fcis-31597	95	41	and	and	CCONJ
fcis-31597	95	42	head	head	NOUN
fcis-31597	95	43	of	of	ADP
fcis-31597	95	44	yolo	yolo	PROPN
fcis-31597	95	45	.	.	PUNCT
fcis-31597	96	1	it	it	PRON
fcis-31597	96	2	performs	perform	VERB
fcis-31597	96	3	sparse	sparse	ADJ
fcis-31597	96	4	deformable	deformable	ADJ
fcis-31597	96	5	sampling	sampling	NOUN
fcis-31597	96	6	across	across	ADP
fcis-31597	96	7	adjacent	adjacent	ADJ
fcis-31597	96	8	scales	scale	NOUN
fcis-31597	96	9	combined	combine	VERB
fcis-31597	96	10	with	with	ADP
fcis-31597	96	11	a	a	DET
fcis-31597	96	12	bidirectional	bidirectional	ADJ
fcis-31597	96	13	cross	cross	ADJ
fcis-31597	96	14	-	-	ADJ
fcis-31597	96	15	scale	scale	ADJ
fcis-31597	96	16	dynamic	dynamic	ADJ
fcis-31597	96	17	fusion	fusion	NOUN
fcis-31597	96	18	(	(	PUNCT
fcis-31597	96	19	bcdm	bcdm	PROPN
fcis-31597	96	20	)	)	PUNCT
fcis-31597	96	21	,	,	PUNCT
fcis-31597	96	22	followed	follow	VERB
fcis-31597	96	23	by	by	ADP
fcis-31597	96	24	separate	separate	ADJ
fcis-31597	96	25	dynamic	dynamic	ADJ
fcis-31597	96	26	convolutional	convolutional	ADJ
fcis-31597	96	27	branches	branch	NOUN
fcis-31597	96	28	for	for	ADP
fcis-31597	96	29	classification	classification	NOUN
fcis-31597	96	30	and	and	CCONJ
fcis-31597	96	31	regression	regression	NOUN
fcis-31597	96	32	.	.	PUNCT
fcis-31597	97	1	the	the	DET
fcis-31597	97	2	design	design	NOUN
fcis-31597	97	3	enriches	enrich	VERB
fcis-31597	97	4	fine	fine	ADV
fcis-31597	97	5	-	-	PUNCT
fcis-31597	97	6	grained	grain	VERB
fcis-31597	97	7	and	and	CCONJ
fcis-31597	97	8	smallobject	smallobject	NOUN
fcis-31597	97	9	features	feature	NOUN
fcis-31597	97	10	with	with	ADP
fcis-31597	97	11	minimal	minimal	ADJ
fcis-31597	97	12	latency	latency	NOUN
fcis-31597	97	13	increase	increase	NOUN
fcis-31597	97	14	.	.	PUNCT
fcis-31597	98	1	(	(	PUNCT
fcis-31597	98	2	2	2	X
fcis-31597	98	3	)	)	PUNCT
fcis-31597	98	4	rcq	rcq	NOUN
fcis-31597	98	5	-	-	PUNCT
fcis-31597	98	6	loss	loss	NOUN
fcis-31597	98	7	:	:	PUNCT
fcis-31597	98	8	this	this	PRON
fcis-31597	98	9	is	be	AUX
fcis-31597	98	10	a	a	DET
fcis-31597	98	11	novel	novel	ADJ
fcis-31597	98	12	loss	loss	NOUN
fcis-31597	98	13	function	function	NOUN
fcis-31597	98	14	that	that	PRON
fcis-31597	98	15	builds	build	VERB
fcis-31597	98	16	on	on	ADP
fcis-31597	98	17	quality	quality	NOUN
fcis-31597	98	18	-	-	PUNCT
fcis-31597	98	19	aware	aware	ADJ
fcis-31597	98	20	classification	classification	NOUN
fcis-31597	98	21	.	.	PUNCT
fcis-31597	99	1	it	it	PRON
fcis-31597	99	2	applies	apply	VERB
fcis-31597	99	3	a	a	DET
fcis-31597	99	4	listwise	listwise	ADJ
fcis-31597	99	5	distribution	distribution	NOUN
fcis-31597	99	6	alignment	alignment	NOUN
fcis-31597	99	7	and	and	CCONJ
fcis-31597	99	8	a	a	DET
fcis-31597	99	9	pairwise	pairwise	NOUN
fcis-31597	99	10	ranking	rank	VERB
fcis-31597	99	11	consistency	consistency	NOUN
fcis-31597	99	12	constraint	constraint	NOUN
fcis-31597	99	13	among	among	ADP
fcis-31597	99	14	all	all	DET
fcis-31597	99	15	positive	positive	ADJ
fcis-31597	99	16	samples	sample	NOUN
fcis-31597	99	17	of	of	ADP
fcis-31597	99	18	the	the	DET
fcis-31597	99	19	same	same	ADJ
fcis-31597	99	20	ground	ground	NOUN
fcis-31597	99	21	truth	truth	NOUN
fcis-31597	99	22	,	,	PUNCT
fcis-31597	99	23	enforcing	enforce	VERB
fcis-31597	99	24	the	the	DET
fcis-31597	99	25	classification	classification	NOUN
fcis-31597	99	26	scores	score	NOUN
fcis-31597	99	27	to	to	PART
fcis-31597	99	28	be	be	AUX
fcis-31597	99	29	monotonically	monotonically	ADV
fcis-31597	99	30	consistent	consistent	ADJ
fcis-31597	99	31	with	with	ADP
fcis-31597	99	32	localization	localization	NOUN
fcis-31597	99	33	quality	quality	NOUN
fcis-31597	99	34	(	(	PUNCT
fcis-31597	99	35	iou	iou	NOUN
fcis-31597	99	36	)	)	PUNCT
fcis-31597	99	37	.	.	PUNCT
fcis-31597	100	1	as	as	ADP
fcis-31597	100	2	a	a	DET
fcis-31597	100	3	result	result	NOUN
fcis-31597	100	4	,	,	PUNCT
fcis-31597	100	5	it	it	PRON
fcis-31597	100	6	stabilizes	stabilize	VERB
fcis-31597	100	7	candidate	candidate	NOUN
fcis-31597	100	8	ranking	ranking	NOUN
fcis-31597	100	9	and	and	CCONJ
fcis-31597	100	10	benefits	benefit	NOUN
fcis-31597	100	11	both	both	DET
fcis-31597	100	12	nms	nms	NOUN
fcis-31597	100	13	-	-	PUNCT
fcis-31597	100	14	based	base	VERB
fcis-31597	100	15	and	and	CCONJ
fcis-31597	100	16	nms	nms	NOUN
fcis-31597	100	17	-	-	PUNCT
fcis-31597	100	18	free	free	ADJ
fcis-31597	100	19	inference	inference	NOUN
fcis-31597	100	20	(	(	PUNCT
fcis-31597	100	21	as	as	SCONJ
fcis-31597	100	22	illustrated	illustrate	VERB
fcis-31597	100	23	in	in	ADP
fcis-31597	100	24	fig	fig	NOUN
fcis-31597	100	25	.	.	PUNCT
fcis-31597	101	1	1	1	NUM
fcis-31597	101	2	)	)	PUNCT
fcis-31597	101	3	.	.	PUNCT
fcis-31597	102	1	importantly	importantly	ADV
fcis-31597	102	2	,	,	PUNCT
fcis-31597	102	3	the	the	DET
fcis-31597	102	4	overall	overall	ADJ
fcis-31597	102	5	training	training	NOUN
fcis-31597	102	6	pipeline	pipeline	NOUN
fcis-31597	102	7	remains	remain	VERB
fcis-31597	102	8	fully	fully	ADV
fcis-31597	102	9	compatible	compatible	ADJ
fcis-31597	102	10	with	with	ADP
fcis-31597	102	11	label	label	NOUN
fcis-31597	102	12	assignment	assignment	NOUN
fcis-31597	102	13	strategies	strategy	NOUN
fcis-31597	102	14	from	from	ADP
fcis-31597	102	15	yolox	yolox	NOUN
fcis-31597	102	16	(	(	PUNCT
fcis-31597	102	17	which	which	PRON
fcis-31597	102	18	uses	use	VERB
fcis-31597	102	19	simota	simota	NOUN
fcis-31597	102	20	)	)	PUNCT
fcis-31597	102	21	and	and	CCONJ
fcis-31597	102	22	yolov10	yolov10	NOUN
fcis-31597	102	23	(	(	PUNCT
fcis-31597	102	24	which	which	PRON
fcis-31597	102	25	introduces	introduce	VERB
fcis-31597	102	26	an	an	DET
fcis-31597	102	27	nms	nms	NOUN
fcis-31597	102	28	-	-	PUNCT
fcis-31597	102	29	free	free	ADJ
fcis-31597	102	30	consistent	consistent	ADJ
fcis-31597	102	31	dual	dual	ADJ
fcis-31597	102	32	assignment	assignment	NOUN
fcis-31597	102	33	)	)	PUNCT
fcis-31597	102	34	.	.	PUNCT
fcis-31597	103	1	the	the	DET
fcis-31597	103	2	method	method	NOUN
fcis-31597	103	3	can	can	AUX
fcis-31597	103	4	be	be	AUX
fcis-31597	103	5	31	31	NUM
fcis-31597	103	6	directly	directly	ADV
fcis-31597	103	7	reproduced	reproduce	VERB
fcis-31597	103	8	on	on	ADP
fcis-31597	103	9	standard	standard	ADJ
fcis-31597	103	10	datasets	dataset	NOUN
fcis-31597	103	11	like	like	ADP
fcis-31597	103	12	coco	coco	PROPN
fcis-31597	103	13	without	without	ADP
fcis-31597	103	14	special	special	ADJ
fcis-31597	103	15	adjustments	adjustment	NOUN
fcis-31597	103	16	.	.	PUNCT
fcis-31597	104	1	2.2	2.2	NUM
fcis-31597	104	2	.	.	PUNCT
fcis-31597	105	1	csd	csd	NOUN
fcis-31597	105	2	-	-	PUNCT
fcis-31597	105	3	head	head	NOUN
fcis-31597	105	4	:	:	PUNCT
fcis-31597	105	5	cross	cross	ADJ
fcis-31597	105	6	-	-	ADJ
fcis-31597	105	7	scale	scale	ADJ
fcis-31597	105	8	sparse	sparse	ADJ
fcis-31597	105	9	deformable	deformable	ADJ
fcis-31597	105	10	head	head	NOUN
fcis-31597	105	11	2.2.1	2.2.1	NUM
fcis-31597	105	12	.	.	PUNCT
fcis-31597	106	1	motivation	motivation	NOUN
fcis-31597	106	2	multi	multi	ADJ
fcis-31597	106	3	-	-	ADJ
fcis-31597	106	4	scale	scale	ADJ
fcis-31597	106	5	feature	feature	NOUN
fcis-31597	106	6	fusion	fusion	NOUN
fcis-31597	106	7	structures	structure	NOUN
fcis-31597	106	8	such	such	ADJ
fcis-31597	106	9	as	as	ADP
fcis-31597	106	10	fpn	fpn	NOUN
fcis-31597	106	11	,	,	PUNCT
fcis-31597	106	12	panet	panet	NOUN
fcis-31597	106	13	,	,	PUNCT
fcis-31597	106	14	and	and	CCONJ
fcis-31597	106	15	bifpn	bifpn	PROPN
fcis-31597	106	16	help	help	AUX
fcis-31597	106	17	improve	improve	VERB
fcis-31597	106	18	object	object	NOUN
fcis-31597	106	19	detection	detection	NOUN
fcis-31597	106	20	by	by	ADP
fcis-31597	106	21	combining	combine	VERB
fcis-31597	106	22	semantic	semantic	ADJ
fcis-31597	106	23	and	and	CCONJ
fcis-31597	106	24	localization	localization	NOUN
fcis-31597	106	25	cues	cue	NOUN
fcis-31597	106	26	from	from	ADP
fcis-31597	106	27	different	different	ADJ
fcis-31597	106	28	resolutions	resolution	NOUN
fcis-31597	106	29	.	.	PUNCT
fcis-31597	107	1	however	however	ADV
fcis-31597	107	2	,	,	PUNCT
fcis-31597	107	3	they	they	PRON
fcis-31597	107	4	still	still	ADV
fcis-31597	107	5	struggle	struggle	VERB
fcis-31597	107	6	with	with	ADP
fcis-31597	107	7	scenarios	scenario	NOUN
fcis-31597	107	8	involving	involve	VERB
fcis-31597	107	9	significant	significant	ADJ
fcis-31597	107	10	deformations	deformation	NOUN
fcis-31597	107	11	,	,	PUNCT
fcis-31597	107	12	occlusions	occlusion	NOUN
fcis-31597	107	13	,	,	PUNCT
fcis-31597	107	14	or	or	CCONJ
fcis-31597	107	15	very	very	ADV
fcis-31597	107	16	small	small	ADJ
fcis-31597	107	17	objects	object	NOUN
fcis-31597	107	18	.	.	PUNCT
fcis-31597	108	1	in	in	ADP
fcis-31597	108	2	contrast	contrast	NOUN
fcis-31597	108	3	,	,	PUNCT
fcis-31597	108	4	deformable	deformable	ADJ
fcis-31597	108	5	convolution	convolution	NOUN
fcis-31597	108	6	and	and	CCONJ
fcis-31597	108	7	deformable	deformable	ADJ
fcis-31597	108	8	selfattention	selfattention	NOUN
fcis-31597	108	9	focus	focus	NOUN
fcis-31597	108	10	on	on	ADP
fcis-31597	108	11	a	a	DET
fcis-31597	108	12	small	small	ADJ
fcis-31597	108	13	set	set	NOUN
fcis-31597	108	14	of	of	ADP
fcis-31597	108	15	adaptively	adaptively	ADV
fcis-31597	108	16	learned	learn	VERB
fcis-31597	108	17	sampling	sample	VERB
fcis-31597	108	18	points	point	NOUN
fcis-31597	108	19	to	to	PART
fcis-31597	108	20	efficiently	efficiently	ADV
fcis-31597	108	21	capture	capture	VERB
fcis-31597	108	22	critical	critical	ADJ
fcis-31597	108	23	context	context	NOUN
fcis-31597	108	24	,	,	PUNCT
fcis-31597	108	25	and	and	CCONJ
fcis-31597	108	26	have	have	AUX
fcis-31597	108	27	proven	prove	VERB
fcis-31597	108	28	especially	especially	ADV
fcis-31597	108	29	effective	effective	ADJ
fcis-31597	108	30	for	for	ADP
fcis-31597	108	31	small	small	ADJ
fcis-31597	108	32	object	object	NOUN
fcis-31597	108	33	detection	detection	NOUN
fcis-31597	108	34	and	and	CCONJ
fcis-31597	108	35	geometric	geometric	ADJ
fcis-31597	108	36	alignment	alignment	NOUN
fcis-31597	108	37	.	.	PUNCT
fcis-31597	109	1	drawing	draw	VERB
fcis-31597	109	2	inspiration	inspiration	NOUN
fcis-31597	109	3	from	from	ADP
fcis-31597	109	4	these	these	DET
fcis-31597	109	5	observations	observation	NOUN
fcis-31597	109	6	,	,	PUNCT
fcis-31597	109	7	we	we	PRON
fcis-31597	109	8	confine	confine	VERB
fcis-31597	109	9	the	the	DET
fcis-31597	109	10	deformable	deformable	ADJ
fcis-31597	109	11	idea	idea	NOUN
fcis-31597	109	12	to	to	ADP
fcis-31597	109	13	adjacent	adjacent	ADJ
fcis-31597	109	14	pyramid	pyramid	NOUN
fcis-31597	109	15	scales	scale	NOUN
fcis-31597	109	16	and	and	CCONJ
fcis-31597	109	17	integrate	integrate	VERB
fcis-31597	109	18	lightweight	lightweight	ADJ
fcis-31597	109	19	dynamic	dynamic	ADJ
fcis-31597	109	20	fusion	fusion	NOUN
fcis-31597	109	21	and	and	CCONJ
fcis-31597	109	22	dynamic	dynamic	ADJ
fcis-31597	109	23	convolution	convolution	NOUN
fcis-31597	109	24	.	.	PUNCT
fcis-31597	110	1	this	this	DET
fcis-31597	110	2	local	local	ADJ
fcis-31597	110	3	cross	cross	ADJ
fcis-31597	110	4	-	-	ADJ
fcis-31597	110	5	scale	scale	ADJ
fcis-31597	110	6	approach	approach	NOUN
fcis-31597	110	7	enhances	enhance	VERB
fcis-31597	110	8	feature	feature	NOUN
fcis-31597	110	9	representation	representation	NOUN
fcis-31597	110	10	with	with	ADP
fcis-31597	110	11	almost	almost	ADV
fcis-31597	110	12	no	no	PRON
fcis-31597	110	13	added	add	VERB
fcis-31597	110	14	flops	flop	NOUN
fcis-31597	110	15	or	or	CCONJ
fcis-31597	110	16	latency	latency	NOUN
fcis-31597	110	17	.	.	PUNCT
fcis-31597	111	1	2.2.2	2.2.2	X
fcis-31597	111	2	.	.	PUNCT
fcis-31597	111	3	cross	cross	ADJ
fcis-31597	111	4	-	-	ADJ
fcis-31597	111	5	scale	scale	ADJ
fcis-31597	111	6	sparse	sparse	ADJ
fcis-31597	111	7	deformable	deformable	ADJ
fcis-31597	111	8	sampling	sampling	NOUN
fcis-31597	111	9	let	let	VERB
fcis-31597	111	10	the	the	DET
fcis-31597	111	11	set	set	NOUN
fcis-31597	111	12	of	of	ADP
fcis-31597	111	13	pyramid	pyramid	NOUN
fcis-31597	111	14	feature	feature	NOUN
fcis-31597	111	15	levels	level	NOUN
fcis-31597	111	16	be	be	VERB
fcis-31597	111	17	ℒ	ℒ	ADJ
fcis-31597	111	18	𝑙	𝑙	X
fcis-31597	111	19	.	.	PUNCT
fcis-31597	112	1	for	for	ADP
fcis-31597	112	2	any	any	DET
fcis-31597	112	3	spatial	spatial	ADJ
fcis-31597	112	4	location	location	NOUN
fcis-31597	112	5	𝐩	𝐩	PROPN
fcis-31597	112	6	at	at	ADP
fcis-31597	112	7	level	level	NOUN
fcis-31597	112	8	𝑙	𝑙	NOUN
fcis-31597	112	9	,	,	PUNCT
fcis-31597	112	10	we	we	PRON
fcis-31597	112	11	only	only	ADV
fcis-31597	112	12	sample	sample	VERB
fcis-31597	112	13	from	from	ADP
fcis-31597	112	14	its	its	PRON
fcis-31597	112	15	neighboring	neighboring	NOUN
fcis-31597	112	16	scales	scale	NOUN
fcis-31597	112	17	𝑙	𝑙	X
fcis-31597	112	18	1	1	NUM
fcis-31597	112	19	,	,	PUNCT
fcis-31597	112	20	 	 	SPACE
fcis-31597	112	21	𝑙	𝑙	ADP
fcis-31597	112	22	,	,	PUNCT
fcis-31597	112	23	 	 	SPACE
fcis-31597	112	24	𝑙	𝑙	PRON
fcis-31597	112	25	1	1	NUM
fcis-31597	112	26	.	.	PUNCT
fcis-31597	113	1	denote	denote	VERB
fcis-31597	113	2	by	by	ADP
fcis-31597	113	3	𝐾	𝐾	PROPN
fcis-31597	113	4	the	the	DET
fcis-31597	113	5	number	number	NOUN
fcis-31597	113	6	of	of	ADP
fcis-31597	113	7	sampling	sample	VERB
fcis-31597	113	8	points	point	NOUN
fcis-31597	113	9	per	per	ADP
fcis-31597	113	10	location	location	NOUN
fcis-31597	113	11	and	and	CCONJ
fcis-31597	113	12	δ𝐩	δ𝐩	NOUN
fcis-31597	113	13	→	→	PUNCT
fcis-31597	113	14	the	the	DET
fcis-31597	113	15	learnable	learnable	ADJ
fcis-31597	113	16	offset	offset	NOUN
fcis-31597	113	17	sampling	sample	VERB
fcis-31597	113	18	from	from	ADP
fcis-31597	113	19	level	level	NOUN
fcis-31597	113	20	𝑙′	𝑙′	NOUN
fcis-31597	113	21	into	into	ADP
fcis-31597	113	22	location	location	NOUN
fcis-31597	113	23	𝐩	𝐩	PROPN
fcis-31597	113	24	.	.	PUNCT
fcis-31597	114	1	we	we	PRON
fcis-31597	114	2	aggregate	aggregate	VERB
fcis-31597	114	3	features	feature	NOUN
fcis-31597	114	4	across	across	ADP
fcis-31597	114	5	scales	scale	NOUN
fcis-31597	114	6	as	as	ADP
fcis-31597	114	7	:	:	PUNCT
fcis-31597	114	8	𝐲	𝐲	ADP
fcis-31597	114	9	𝐩	𝐩	PROPN
fcis-31597	114	10	∑	∑	ADV
fcis-31597	114	11	∈	∈	PROPN
fcis-31597	114	12	,	,	PUNCT
fcis-31597	114	13	  	  	SPACE
fcis-31597	114	14	,	,	PUNCT
fcis-31597	114	15	  	  	SPACE
fcis-31597	114	16	∑	∑	PUNCT
fcis-31597	114	17	𝑤	𝑤	PROPN
fcis-31597	114	18	→	→	SYM
fcis-31597	114	19	⋅	⋅	PROPN
fcis-31597	114	20	𝐱	𝐱	PROPN
fcis-31597	114	21	!	!	PUNCT
fcis-31597	115	1	𝐩	𝐩	PRON
fcis-31597	115	2	δ𝐩	δ𝐩	NOUN
fcis-31597	115	3	→	→	SYM
fcis-31597	115	4	(	(	PUNCT
fcis-31597	115	5	1	1	X
fcis-31597	115	6	)	)	PUNCT
fcis-31597	115	7	where	where	SCONJ
fcis-31597	115	8	both	both	CCONJ
fcis-31597	115	9	the	the	DET
fcis-31597	115	10	offsets	offset	NOUN
fcis-31597	115	11	δ𝐩	δ𝐩	PRON
fcis-31597	115	12	and	and	CCONJ
fcis-31597	115	13	the	the	DET
fcis-31597	115	14	weights	weight	NOUN
fcis-31597	115	15	𝑤	𝑤	NOUN
fcis-31597	115	16	are	be	AUX
fcis-31597	115	17	predicted	predict	VERB
fcis-31597	115	18	by	by	ADP
fcis-31597	115	19	a	a	DET
fcis-31597	115	20	shallow	shallow	ADJ
fcis-31597	115	21	convolution	convolution	NOUN
fcis-31597	115	22	.	.	PUNCT
fcis-31597	116	1	compared	compare	VERB
fcis-31597	116	2	to	to	ADP
fcis-31597	116	3	global	global	ADJ
fcis-31597	116	4	multi	multi	ADJ
fcis-31597	116	5	-	-	ADJ
fcis-31597	116	6	scale	scale	ADJ
fcis-31597	116	7	attention	attention	NOUN
fcis-31597	116	8	,	,	PUNCT
fcis-31597	116	9	this	this	DET
fcis-31597	116	10	localized	localized	ADJ
fcis-31597	116	11	sparse	sparse	ADJ
fcis-31597	116	12	sampling	sample	VERB
fcis-31597	116	13	greatly	greatly	ADV
fcis-31597	116	14	reduces	reduce	VERB
fcis-31597	116	15	computation	computation	NOUN
fcis-31597	116	16	while	while	SCONJ
fcis-31597	116	17	preserving	preserve	VERB
fcis-31597	116	18	crucial	crucial	ADJ
fcis-31597	116	19	geometric	geometric	ADJ
fcis-31597	116	20	alignment	alignment	NOUN
fcis-31597	116	21	capability	capability	NOUN
fcis-31597	116	22	.	.	PUNCT
fcis-31597	117	1	conceptually	conceptually	ADV
fcis-31597	117	2	,	,	PUNCT
fcis-31597	117	3	it	it	PRON
fcis-31597	117	4	follows	follow	VERB
fcis-31597	117	5	the	the	DET
fcis-31597	117	6	same	same	ADJ
fcis-31597	117	7	sparse	sparse	ADJ
fcis-31597	117	8	sampling	sample	VERB
fcis-31597	117	9	principle	principle	NOUN
fcis-31597	117	10	as	as	ADP
fcis-31597	117	11	dcnv2[17	dcnv2[17	PROPN
fcis-31597	117	12	]	]	PUNCT
fcis-31597	117	13	and	and	CCONJ
fcis-31597	117	14	deformable	deformable	ADJ
fcis-31597	117	15	detr	detr	NOUN
fcis-31597	117	16	,	,	PUNCT
fcis-31597	117	17	but	but	CCONJ
fcis-31597	117	18	constrained	constrain	VERB
fcis-31597	117	19	to	to	ADP
fcis-31597	117	20	a	a	DET
fcis-31597	117	21	3	3	NUM
fcis-31597	117	22	-	-	PUNCT
fcis-31597	117	23	level	level	NOUN
fcis-31597	117	24	pyramid	pyramid	NOUN
fcis-31597	117	25	neighborhood	neighborhood	NOUN
fcis-31597	117	26	for	for	ADP
fcis-31597	117	27	efficiency	efficiency	NOUN
fcis-31597	117	28	.	.	PUNCT
fcis-31597	118	1	2.2.3	2.2.3	X
fcis-31597	118	2	.	.	X
fcis-31597	118	3	bidirectional	bidirectional	ADJ
fcis-31597	118	4	cross	cross	ADJ
fcis-31597	118	5	-	-	ADJ
fcis-31597	118	6	scale	scale	ADJ
fcis-31597	118	7	dynamic	dynamic	ADJ
fcis-31597	118	8	fusion	fusion	NOUN
fcis-31597	118	9	(	(	PUNCT
fcis-31597	118	10	bcdm	bcdm	PROPN
fcis-31597	118	11	)	)	PUNCT
fcis-31597	118	12	after	after	ADP
fcis-31597	118	13	obtaining	obtain	VERB
fcis-31597	118	14	the	the	DET
fcis-31597	118	15	aggregated	aggregate	VERB
fcis-31597	118	16	feature	feature	NOUN
fcis-31597	118	17	𝐲	𝐲	ADP
fcis-31597	118	18	for	for	ADP
fcis-31597	118	19	each	each	DET
fcis-31597	118	20	level	level	NOUN
fcis-31597	118	21	𝑙	𝑙	NOUN
fcis-31597	118	22	,	,	PUNCT
fcis-31597	118	23	we	we	PRON
fcis-31597	118	24	apply	apply	VERB
fcis-31597	118	25	a	a	DET
fcis-31597	118	26	lightweight	lightweight	ADJ
fcis-31597	118	27	bidirectional	bidirectional	ADJ
fcis-31597	118	28	fusion	fusion	NOUN
fcis-31597	118	29	across	across	ADP
fcis-31597	118	30	scales	scale	NOUN
fcis-31597	118	31	:	:	PUNCT
fcis-31597	118	32	𝐲	𝐲	PROPN
fcis-31597	118	33	𝑔↓	𝑔↓	PROPN
fcis-31597	118	34	⊙	⊙	PROPN
fcis-31597	118	35	ϕ↓	ϕ↓	PUNCT
fcis-31597	118	36	!	!	PUNCT
fcis-31597	119	1	𝑈𝑝	𝑈𝑝	NOUN
fcis-31597	119	2	𝐲	𝐲	ADP
fcis-31597	119	3	𝑔↑	𝑔↑	PROPN
fcis-31597	119	4	⊙	⊙	PROPN
fcis-31597	119	5	ϕ↑	ϕ↑	PROPN
fcis-31597	119	6	!	!	PUNCT
fcis-31597	120	1	𝐷𝑜𝑤𝑛	𝐷𝑜𝑤𝑛	PROPN
fcis-31597	120	2	𝐲	𝐲	ADP
fcis-31597	120	3	𝑔∘	𝑔∘	PROPN
fcis-31597	120	4	⊙	⊙	PROPN
fcis-31597	120	5	ϕ∘	ϕ∘	PROPN
fcis-31597	120	6	!	!	PUNCT
fcis-31597	121	1	𝐲	𝐲	PROPN
fcis-31597	121	2	(	(	PUNCT
fcis-31597	121	3	2	2	NUM
fcis-31597	121	4	)	)	PUNCT
fcis-31597	121	5	where	where	SCONJ
fcis-31597	121	6	𝑔	𝑔	PROPN
fcis-31597	121	7	⋅	⋅	PROPN
fcis-31597	121	8	∈	∈	NOUN
fcis-31597	121	9	0,1	0,1	NUM
fcis-31597	121	10	are	be	AUX
fcis-31597	121	11	learnable	learnable	ADJ
fcis-31597	121	12	gating	gate	VERB
fcis-31597	121	13	factors	factor	NOUN
fcis-31597	121	14	,	,	PUNCT
fcis-31597	121	15	ϕ	ϕ	PROPN
fcis-31597	121	16	⋅	⋅	PROPN
fcis-31597	121	17	represents	represent	VERB
fcis-31597	121	18	a	a	DET
fcis-31597	121	19	1	1	NUM
fcis-31597	121	20	1	1	NUM
fcis-31597	121	21	reduction	reduction	NOUN
fcis-31597	121	22	or	or	CCONJ
fcis-31597	121	23	expansion	expansion	NOUN
fcis-31597	121	24	followed	follow	VERB
fcis-31597	121	25	by	by	ADP
fcis-31597	121	26	a	a	DET
fcis-31597	121	27	3	3	NUM
fcis-31597	121	28	3	3	NUM
fcis-31597	121	29	depthwise	depthwise	NOUN
fcis-31597	121	30	convolution	convolution	NOUN
fcis-31597	121	31	,	,	PUNCT
fcis-31597	121	32	and	and	CCONJ
fcis-31597	121	33	up	up	ADV
fcis-31597	121	34	/	/	SYM
fcis-31597	121	35	down	down	ADV
fcis-31597	121	36	are	be	AUX
fcis-31597	121	37	simple	simple	ADJ
fcis-31597	121	38	upsampling	upsampling	NOUN
fcis-31597	121	39	or	or	CCONJ
fcis-31597	121	40	downsampling	downsample	VERB
fcis-31597	121	41	operators	operator	NOUN
fcis-31597	121	42	.	.	PUNCT
fcis-31597	122	1	in	in	ADP
fcis-31597	122	2	essence	essence	NOUN
fcis-31597	122	3	,	,	PUNCT
fcis-31597	122	4	each	each	DET
fcis-31597	122	5	level	level	NOUN
fcis-31597	122	6	𝑙	𝑙	PRON
fcis-31597	122	7	dynamically	dynamically	ADV
fcis-31597	122	8	fuses	fuse	VERB
fcis-31597	122	9	information	information	NOUN
fcis-31597	122	10	from	from	ADP
fcis-31597	122	11	the	the	DET
fcis-31597	122	12	level	level	NOUN
fcis-31597	122	13	above	above	ADV
fcis-31597	122	14	(	(	PUNCT
fcis-31597	122	15	l+1	l+1	PROPN
fcis-31597	122	16	)	)	PUNCT
fcis-31597	122	17	,	,	PUNCT
fcis-31597	122	18	the	the	DET
fcis-31597	122	19	level	level	NOUN
fcis-31597	122	20	below	below	ADV
fcis-31597	122	21	(	(	PUNCT
fcis-31597	122	22	l-1	l-1	NUM
fcis-31597	122	23	)	)	PUNCT
fcis-31597	122	24	,	,	PUNCT
fcis-31597	122	25	and	and	CCONJ
fcis-31597	122	26	its	its	PRON
fcis-31597	122	27	own	own	ADJ
fcis-31597	122	28	features	feature	NOUN
fcis-31597	122	29	,	,	PUNCT
fcis-31597	122	30	with	with	ADP
fcis-31597	122	31	learned	learn	VERB
fcis-31597	122	32	gates	gate	NOUN
fcis-31597	122	33	controlling	control	VERB
fcis-31597	122	34	the	the	DET
fcis-31597	122	35	flow	flow	NOUN
fcis-31597	122	36	from	from	ADP
fcis-31597	122	37	each	each	DET
fcis-31597	122	38	source	source	NOUN
fcis-31597	122	39	.	.	PUNCT
fcis-31597	123	1	this	this	DET
fcis-31597	123	2	structure	structure	NOUN
fcis-31597	123	3	is	be	AUX
fcis-31597	123	4	analogous	analogous	ADJ
fcis-31597	123	5	to	to	ADP
fcis-31597	123	6	the	the	DET
fcis-31597	123	7	bottom	bottom	ADJ
fcis-31597	123	8	-	-	PUNCT
fcis-31597	123	9	up	up	ADP
fcis-31597	123	10	pathway	pathway	NOUN
fcis-31597	123	11	of	of	ADP
fcis-31597	123	12	panet	panet	NOUN
fcis-31597	123	13	and	and	CCONJ
fcis-31597	123	14	the	the	DET
fcis-31597	123	15	weighted	weighted	ADJ
fcis-31597	123	16	bidirectional	bidirectional	ADJ
fcis-31597	123	17	fusion	fusion	NOUN
fcis-31597	123	18	of	of	ADP
fcis-31597	123	19	bifpn	bifpn	PROPN
fcis-31597	123	20	,	,	PUNCT
fcis-31597	123	21	but	but	CCONJ
fcis-31597	123	22	is	be	AUX
fcis-31597	123	23	implemented	implement	VERB
fcis-31597	123	24	with	with	ADP
fcis-31597	123	25	much	much	ADJ
fcis-31597	123	26	“	"	PUNCT
fcis-31597	123	27	thinner	thin	ADJ
fcis-31597	123	28	”	"	PUNCT
fcis-31597	123	29	layers	layer	NOUN
fcis-31597	123	30	(	(	PUNCT
fcis-31597	123	31	depthwise	depthwise	NOUN
fcis-31597	123	32	or	or	CCONJ
fcis-31597	123	33	small	small	ADJ
fcis-31597	123	34	-	-	PUNCT
fcis-31597	123	35	channel	channel	NOUN
fcis-31597	123	36	convs	convs	NOUN
fcis-31597	123	37	and	and	CCONJ
fcis-31597	123	38	gating	gating	NOUN
fcis-31597	123	39	)	)	PUNCT
fcis-31597	123	40	,	,	PUNCT
fcis-31597	123	41	making	make	VERB
fcis-31597	123	42	it	it	PRON
fcis-31597	123	43	more	more	ADV
fcis-31597	123	44	deployment	deployment	NOUN
fcis-31597	123	45	-	-	PUNCT
fcis-31597	123	46	friendly	friendly	ADJ
fcis-31597	123	47	for	for	ADP
fcis-31597	123	48	real	real	ADJ
fcis-31597	123	49	-	-	PUNCT
fcis-31597	123	50	time	time	NOUN
fcis-31597	123	51	systems	system	NOUN
fcis-31597	123	52	.	.	PUNCT
fcis-31597	124	1	2.2.4	2.2.4	NUM
fcis-31597	124	2	.	.	PUNCT
fcis-31597	124	3	quality	quality	NOUN
fcis-31597	124	4	-	-	PUNCT
fcis-31597	124	5	prior	prior	ADV
fcis-31597	124	6	guided	guide	VERB
fcis-31597	124	7	dynamic	dynamic	ADJ
fcis-31597	124	8	convolution	convolution	NOUN
fcis-31597	124	9	branches	branch	NOUN
fcis-31597	124	10	both	both	CCONJ
fcis-31597	124	11	the	the	DET
fcis-31597	124	12	classification	classification	NOUN
fcis-31597	124	13	and	and	CCONJ
fcis-31597	124	14	regression	regression	NOUN
fcis-31597	124	15	heads	head	NOUN
fcis-31597	124	16	in	in	ADP
fcis-31597	124	17	csd	csd	NOUN
fcis-31597	124	18	-	-	PUNCT
fcis-31597	124	19	head	head	NOUN
fcis-31597	124	20	use	use	VERB
fcis-31597	124	21	dynamic	dynamic	ADJ
fcis-31597	124	22	convolution	convolution	NOUN
fcis-31597	124	23	kernels	kernel	NOUN
fcis-31597	124	24	that	that	PRON
fcis-31597	124	25	are	be	AUX
fcis-31597	124	26	generated	generate	VERB
fcis-31597	124	27	based	base	VERB
fcis-31597	124	28	on	on	ADP
fcis-31597	124	29	a	a	DET
fcis-31597	124	30	quality	quality	NOUN
fcis-31597	124	31	prior	prior	ADV
fcis-31597	124	32	.	.	PUNCT
fcis-31597	125	1	specifically	specifically	ADV
fcis-31597	125	2	,	,	PUNCT
fcis-31597	125	3	for	for	ADP
fcis-31597	125	4	each	each	DET
fcis-31597	125	5	scale	scale	NOUN
fcis-31597	125	6	𝑙	𝑙	X
fcis-31597	125	7	,	,	PUNCT
fcis-31597	125	8	we	we	PRON
fcis-31597	125	9	derive	derive	VERB
fcis-31597	125	10	a	a	DET
fcis-31597	125	11	quality	quality	NOUN
fcis-31597	125	12	prior	prior	ADJ
fcis-31597	125	13	vector	vector	NOUN
fcis-31597	125	14	𝐪	𝐪	PROPN
fcis-31597	125	15	.	.	PUNCT
fcis-31597	126	1	for	for	ADP
fcis-31597	126	2	example	example	NOUN
fcis-31597	126	3	,	,	PUNCT
fcis-31597	126	4	this	this	PRON
fcis-31597	126	5	could	could	AUX
fcis-31597	126	6	be	be	AUX
fcis-31597	126	7	obtained	obtain	VERB
fcis-31597	126	8	from	from	ADP
fcis-31597	126	9	an	an	DET
fcis-31597	126	10	iou	iou	NOUN
fcis-31597	126	11	-	-	PUNCT
fcis-31597	126	12	prediction	prediction	NOUN
fcis-31597	126	13	branch	branch	NOUN
fcis-31597	126	14	or	or	CCONJ
fcis-31597	126	15	simply	simply	ADV
fcis-31597	126	16	a	a	DET
fcis-31597	126	17	global	global	ADJ
fcis-31597	126	18	pooling	pooling	NOUN
fcis-31597	126	19	+	+	CCONJ
fcis-31597	126	20	mlp	mlp	NOUN
fcis-31597	126	21	on	on	ADP
fcis-31597	126	22	the	the	DET
fcis-31597	126	23	feature	feature	NOUN
fcis-31597	126	24	map	map	NOUN
fcis-31597	126	25	-	-	PUNCT
fcis-31597	126	26	which	which	PRON
fcis-31597	126	27	summarizes	summarize	VERB
fcis-31597	126	28	the	the	DET
fcis-31597	126	29	overall	overall	ADJ
fcis-31597	126	30	quality	quality	NOUN
fcis-31597	126	31	of	of	ADP
fcis-31597	126	32	predictions	prediction	NOUN
fcis-31597	126	33	at	at	ADP
fcis-31597	126	34	that	that	DET
fcis-31597	126	35	level	level	NOUN
fcis-31597	126	36	.	.	PUNCT
fcis-31597	127	1	this	this	DET
fcis-31597	127	2	vector	vector	NOUN
fcis-31597	127	3	𝐪	𝐪	PROPN
fcis-31597	127	4	then	then	ADV
fcis-31597	127	5	modulates	modulate	VERB
fcis-31597	127	6	the	the	DET
fcis-31597	127	7	convolution	convolution	NOUN
fcis-31597	127	8	kernels	kernel	NOUN
fcis-31597	127	9	by	by	ADP
fcis-31597	127	10	producing	produce	VERB
fcis-31597	127	11	a	a	DET
fcis-31597	127	12	set	set	NOUN
fcis-31597	127	13	of	of	ADP
fcis-31597	127	14	combination	combination	NOUN
fcis-31597	127	15	coefficients	coefficient	NOUN
fcis-31597	127	16	𝛼	𝛼	PRON
fcis-31597	127	17	𝐪	𝐪	NOUN
fcis-31597	127	18	.	.	PUNCT
fcis-31597	128	1	these	these	DET
fcis-31597	128	2	coefficients	coefficient	NOUN
fcis-31597	128	3	linearly	linearly	ADV
fcis-31597	128	4	blend	blend	VERB
fcis-31597	128	5	$	$	SYM
fcis-31597	128	6	m$	m$	NOUN
fcis-31597	128	7	base	base	NOUN
fcis-31597	128	8	kernels	kernel	NOUN
fcis-31597	128	9	𝑊	𝑊	PROPN
fcis-31597	128	10	into	into	ADP
fcis-31597	128	11	a	a	DET
fcis-31597	128	12	single	single	ADJ
fcis-31597	128	13	kernel	kernel	NOUN
fcis-31597	128	14	:	:	PUNCT
fcis-31597	128	15	𝑊	𝑊	PROPN
fcis-31597	128	16	/	/	SYM
fcis-31597	128	17	𝐪	𝐪	PROPN
fcis-31597	128	18	∑	∑	DET
fcis-31597	128	19	𝛼	𝛼	PROPN
fcis-31597	128	20	𝐪	𝐪	PROPN
fcis-31597	128	21	 	 	SPACE
fcis-31597	128	22	𝑊	𝑊	PROPN
fcis-31597	128	23	/	/	PUNCT
fcis-31597	128	24	,	,	PUNCT
fcis-31597	128	25	∑	∑	PROPN
fcis-31597	128	26	𝛼	𝛼	PROPN
fcis-31597	128	27	1	1	NUM
fcis-31597	128	28	,	,	PUNCT
fcis-31597	128	29	𝛼	𝛼	PROPN
fcis-31597	128	30	0	0	NUM
fcis-31597	128	31	(	(	PUNCT
fcis-31597	128	32	3	3	NUM
fcis-31597	128	33	)	)	PUNCT
fcis-31597	128	34	during	during	ADP
fcis-31597	128	35	inference	inference	NOUN
fcis-31597	128	36	,	,	PUNCT
fcis-31597	128	37	the	the	DET
fcis-31597	128	38	combined	combine	VERB
fcis-31597	128	39	kernel	kernel	NOUN
fcis-31597	128	40	can	can	AUX
fcis-31597	128	41	be	be	AUX
fcis-31597	128	42	folded	fold	VERB
fcis-31597	128	43	into	into	ADP
fcis-31597	128	44	one	one	NUM
fcis-31597	128	45	static	static	ADJ
fcis-31597	128	46	convolution	convolution	NOUN
fcis-31597	128	47	,	,	PUNCT
fcis-31597	128	48	incurring	incur	VERB
fcis-31597	128	49	no	no	DET
fcis-31597	128	50	extra	extra	ADJ
fcis-31597	128	51	computation	computation	NOUN
fcis-31597	128	52	.	.	PUNCT
fcis-31597	129	1	the	the	DET
fcis-31597	129	2	regression	regression	NOUN
fcis-31597	129	3	branch	branch	NOUN
fcis-31597	129	4	still	still	ADV
fcis-31597	129	5	outputs	output	VERB
fcis-31597	129	6	a	a	DET
fcis-31597	129	7	distribution	distribution	NOUN
fcis-31597	129	8	over	over	ADP
fcis-31597	129	9	discretized	discretized	ADJ
fcis-31597	129	10	bins	bin	NOUN
fcis-31597	129	11	.	.	PUNCT
fcis-31597	130	1	using	use	VERB
fcis-31597	130	2	dynamic	dynamic	ADJ
fcis-31597	130	3	kernels	kernel	NOUN
fcis-31597	130	4	in	in	ADP
fcis-31597	130	5	this	this	DET
fcis-31597	130	6	way	way	NOUN
fcis-31597	130	7	allows	allow	VERB
fcis-31597	130	8	the	the	DET
fcis-31597	130	9	network	network	NOUN
fcis-31597	130	10	to	to	PART
fcis-31597	130	11	adapt	adapt	VERB
fcis-31597	130	12	its	its	PRON
fcis-31597	130	13	filters	filter	NOUN
fcis-31597	130	14	based	base	VERB
fcis-31597	130	15	on	on	ADP
fcis-31597	130	16	scale	scale	NOUN
fcis-31597	130	17	or	or	CCONJ
fcis-31597	130	18	texture	texture	NOUN
fcis-31597	130	19	-	-	PUNCT
fcis-31597	130	20	effectively	effectively	ADV
fcis-31597	130	21	amplifying	amplifying	ADJ
fcis-31597	130	22	features	feature	NOUN
fcis-31597	130	23	for	for	ADP
fcis-31597	130	24	hard	hard	ADJ
fcis-31597	130	25	examples	example	NOUN
fcis-31597	130	26	or	or	CCONJ
fcis-31597	130	27	highly	highly	ADV
fcis-31597	130	28	deformed	deform	VERB
fcis-31597	130	29	objects	object	NOUN
fcis-31597	130	30	.	.	PUNCT
fcis-31597	131	1	this	this	DET
fcis-31597	131	2	idea	idea	NOUN
fcis-31597	131	3	is	be	AUX
fcis-31597	131	4	inspired	inspire	VERB
fcis-31597	131	5	by	by	ADP
fcis-31597	131	6	conditional	conditional	ADJ
fcis-31597	131	7	convolution	convolution	NOUN
fcis-31597	131	8	techniques	technique	NOUN
fcis-31597	131	9	such	such	ADJ
fcis-31597	131	10	as	as	ADP
fcis-31597	131	11	condconv[18	condconv[18	PROPN
fcis-31597	131	12	]	]	PUNCT
fcis-31597	131	13	,	,	PUNCT
fcis-31597	131	14	which	which	PRON
fcis-31597	131	15	demonstrate	demonstrate	VERB
fcis-31597	131	16	that	that	SCONJ
fcis-31597	131	17	a	a	DET
fcis-31597	131	18	small	small	ADJ
fcis-31597	131	19	set	set	NOUN
fcis-31597	131	20	of	of	ADP
fcis-31597	131	21	adaptable	adaptable	ADJ
fcis-31597	131	22	kernels	kernel	NOUN
fcis-31597	131	23	can	can	AUX
fcis-31597	131	24	significantly	significantly	ADV
fcis-31597	131	25	improve	improve	VERB
fcis-31597	131	26	representation	representation	NOUN
fcis-31597	131	27	power	power	NOUN
fcis-31597	131	28	without	without	ADP
fcis-31597	131	29	large	large	ADJ
fcis-31597	131	30	overhead	overhead	NOUN
fcis-31597	131	31	.	.	PUNCT
fcis-31597	132	1	2.2.5	2.2.5	X
fcis-31597	132	2	.	.	X
fcis-31597	132	3	complexity	complexity	NOUN
fcis-31597	132	4	and	and	CCONJ
fcis-31597	132	5	implementation	implementation	NOUN
fcis-31597	132	6	when	when	SCONJ
fcis-31597	132	7	implemented	implement	VERB
fcis-31597	132	8	on	on	ADP
fcis-31597	132	9	three	three	NUM
fcis-31597	132	10	feature	feature	NOUN
fcis-31597	132	11	levels	level	NOUN
fcis-31597	132	12	(	(	PUNCT
fcis-31597	132	13	e.g.	e.g.	ADV
fcis-31597	132	14	p3	p3	NOUN
fcis-31597	132	15	/	/	SYM
fcis-31597	132	16	p4	p4	ADJ
fcis-31597	132	17	/	/	SYM
fcis-31597	132	18	p5	p5	NOUN
fcis-31597	132	19	)	)	PUNCT
fcis-31597	132	20	,	,	PUNCT
fcis-31597	132	21	the	the	DET
fcis-31597	132	22	cross	cross	ADJ
fcis-31597	132	23	-	-	ADJ
fcis-31597	132	24	scale	scale	ADJ
fcis-31597	132	25	sparse	sparse	ADJ
fcis-31597	132	26	sampling	sample	VERB
fcis-31597	132	27	introduces	introduce	NOUN
fcis-31597	132	28	only	only	ADV
fcis-31597	132	29	𝒪	𝒪	PROPN
fcis-31597	132	30	𝐾	𝐾	PROPN
fcis-31597	132	31	additional	additional	ADJ
fcis-31597	132	32	sampling	sampling	NOUN
fcis-31597	132	33	points	point	NOUN
fcis-31597	132	34	per	per	ADP
fcis-31597	132	35	location	location	NOUN
fcis-31597	132	36	,	,	PUNCT
fcis-31597	132	37	which	which	PRON
fcis-31597	132	38	is	be	AUX
fcis-31597	132	39	negligible	negligible	ADJ
fcis-31597	132	40	.	.	PUNCT
fcis-31597	133	1	the	the	DET
fcis-31597	133	2	bcdm	bcdm	PROPN
fcis-31597	133	3	fusion	fusion	NOUN
fcis-31597	133	4	uses	use	VERB
fcis-31597	133	5	depthwise	depthwise	NOUN
fcis-31597	133	6	or	or	CCONJ
fcis-31597	133	7	small	small	ADJ
fcis-31597	133	8	-	-	PUNCT
fcis-31597	133	9	channel	channel	NOUN
fcis-31597	133	10	convolutions	convolution	NOUN
fcis-31597	133	11	and	and	CCONJ
fcis-31597	133	12	gating	gating	NOUN
fcis-31597	133	13	,	,	PUNCT
fcis-31597	133	14	and	and	CCONJ
fcis-31597	133	15	the	the	DET
fcis-31597	133	16	dynamic	dynamic	ADJ
fcis-31597	133	17	conv	conv	ADJ
fcis-31597	133	18	branches	branch	NOUN
fcis-31597	133	19	work	work	VERB
fcis-31597	133	20	well	well	ADV
fcis-31597	133	21	with	with	ADP
fcis-31597	133	22	a	a	DET
fcis-31597	133	23	small	small	ADJ
fcis-31597	133	24	number	number	NOUN
fcis-31597	133	25	of	of	ADP
fcis-31597	133	26	base	base	NOUN
fcis-31597	133	27	kernels	kernel	NOUN
fcis-31597	133	28	.	.	PUNCT
fcis-31597	134	1	for	for	ADP
fcis-31597	134	2	a	a	DET
fcis-31597	134	3	typical	typical	ADJ
fcis-31597	134	4	640×640	640×640	NUM
fcis-31597	134	5	input	input	NOUN
fcis-31597	134	6	and	and	CCONJ
fcis-31597	134	7	a	a	DET
fcis-31597	134	8	yolo	yolo	ADJ
fcis-31597	134	9	-	-	PUNCT
fcis-31597	134	10	l	l	NOUN
fcis-31597	134	11	backbone	backbone	NOUN
fcis-31597	134	12	,	,	PUNCT
fcis-31597	134	13	we	we	PRON
fcis-31597	134	14	empirically	empirically	ADV
fcis-31597	134	15	find	find	VERB
fcis-31597	134	16	that	that	SCONJ
fcis-31597	134	17	the	the	DET
fcis-31597	134	18	total	total	ADJ
fcis-31597	134	19	flops	flop	NOUN
fcis-31597	134	20	increase	increase	NOUN
fcis-31597	134	21	is	be	AUX
fcis-31597	134	22	kept	keep	VERB
fcis-31597	134	23	below	below	ADP
fcis-31597	134	24	5	5	NUM
fcis-31597	134	25	%	%	NOUN
fcis-31597	134	26	,	,	PUNCT
fcis-31597	134	27	and	and	CCONJ
fcis-31597	134	28	the	the	DET
fcis-31597	134	29	endto	endto	NOUN
fcis-31597	134	30	-	-	PUNCT
fcis-31597	134	31	end	end	NOUN
fcis-31597	134	32	latency	latency	NOUN
fcis-31597	134	33	remains	remain	VERB
fcis-31597	134	34	almost	almost	ADV
fcis-31597	134	35	unchanged	unchanged	ADJ
fcis-31597	134	36	.	.	PUNCT
fcis-31597	135	1	moreover	moreover	ADV
fcis-31597	135	2	,	,	PUNCT
fcis-31597	135	3	the	the	DET
fcis-31597	135	4	entire	entire	ADJ
fcis-31597	135	5	design	design	NOUN
fcis-31597	135	6	is	be	AUX
fcis-31597	135	7	implemented	implement	VERB
fcis-31597	135	8	to	to	PART
fcis-31597	135	9	be	be	AUX
fcis-31597	135	10	fully	fully	ADV
fcis-31597	135	11	compatible	compatible	ADJ
fcis-31597	135	12	with	with	ADP
fcis-31597	135	13	existing	exist	VERB
fcis-31597	135	14	pan	pan	ADJ
fcis-31597	135	15	/	/	SYM
fcis-31597	135	16	bifpn	bifpn	PROPN
fcis-31597	135	17	code	code	PROPN
fcis-31597	135	18	.	.	PUNCT
fcis-31597	136	1	one	one	PRON
fcis-31597	136	2	can	can	AUX
fcis-31597	136	3	plug	plug	VERB
fcis-31597	136	4	in	in	ADP
fcis-31597	136	5	the	the	DET
fcis-31597	136	6	csd	csd	NOUN
fcis-31597	136	7	-	-	PUNCT
fcis-31597	136	8	head	head	NOUN
fcis-31597	136	9	without	without	ADP
fcis-31597	136	10	altering	alter	VERB
fcis-31597	136	11	the	the	DET
fcis-31597	136	12	backbone	backbone	NOUN
fcis-31597	136	13	or	or	CCONJ
fcis-31597	136	14	anchor	anchor	NOUN
fcis-31597	136	15	settings	setting	NOUN
fcis-31597	136	16	,	,	PUNCT
fcis-31597	136	17	simplifying	simplify	VERB
fcis-31597	136	18	integration	integration	NOUN
fcis-31597	136	19	into	into	ADP
fcis-31597	136	20	existing	exist	VERB
fcis-31597	136	21	yolo	yolo	ADJ
fcis-31597	136	22	frameworks	framework	NOUN
fcis-31597	136	23	.	.	PUNCT
fcis-31597	137	1	2.3	2.3	NUM
fcis-31597	137	2	.	.	PUNCT
fcis-31597	138	1	rcq	rcq	NOUN
fcis-31597	138	2	-	-	PUNCT
fcis-31597	138	3	loss	loss	NOUN
fcis-31597	138	4	:	:	PUNCT
fcis-31597	138	5	rank	rank	NOUN
fcis-31597	138	6	-	-	PUNCT
fcis-31597	138	7	consistent	consistent	ADJ
fcis-31597	138	8	quality	quality	NOUN
fcis-31597	138	9	learning	learn	VERB
fcis-31597	138	10	2.3.1	2.3.1	NUM
fcis-31597	138	11	.	.	PUNCT
fcis-31597	139	1	positive	positive	ADJ
fcis-31597	139	2	sample	sample	NOUN
fcis-31597	139	3	set	set	NOUN
fcis-31597	139	4	and	and	CCONJ
fcis-31597	139	5	quality	quality	NOUN
fcis-31597	139	6	definition	definition	NOUN
fcis-31597	139	7	we	we	PRON
fcis-31597	139	8	adopt	adopt	VERB
fcis-31597	139	9	either	either	CCONJ
fcis-31597	139	10	simota	simota	NOUN
fcis-31597	139	11	(	(	PUNCT
fcis-31597	139	12	by	by	ADP
fcis-31597	139	13	default	default	NOUN
fcis-31597	139	14	)	)	PUNCT
fcis-31597	139	15	or	or	CCONJ
fcis-31597	139	16	atss(optional	atss(optional	PROPN
fcis-31597	139	17	)	)	PUNCT
fcis-31597	139	18	to	to	PART
fcis-31597	139	19	select	select	VERB
fcis-31597	139	20	a	a	DET
fcis-31597	139	21	set	set	NOUN
fcis-31597	139	22	of	of	ADP
fcis-31597	139	23	positive	positive	ADJ
fcis-31597	139	24	samples	sample	NOUN
fcis-31597	139	25	𝑆	𝑆	PROPN
fcis-31597	139	26	for	for	ADP
fcis-31597	139	27	each	each	DET
fcis-31597	139	28	ground	ground	NOUN
fcis-31597	139	29	-	-	PUNCT
fcis-31597	139	30	truth	truth	NOUN
fcis-31597	139	31	object	object	NOUN
fcis-31597	139	32	𝑔	𝑔	PROPN
fcis-31597	139	33	.	.	PUNCT
fcis-31597	140	1	for	for	ADP
fcis-31597	140	2	each	each	DET
fcis-31597	140	3	positive	positive	ADJ
fcis-31597	140	4	sample	sample	NOUN
fcis-31597	140	5	𝑖	𝑖	SYM
fcis-31597	140	6	∈	∈	PROPN
fcis-31597	140	7	𝑆	𝑆	PROPN
fcis-31597	140	8	,	,	PUNCT
fcis-31597	140	9	we	we	PRON
fcis-31597	140	10	define	define	VERB
fcis-31597	140	11	a	a	DET
fcis-31597	140	12	continuous	continuous	ADJ
fcis-31597	140	13	quality	quality	NOUN
fcis-31597	140	14	score	score	NOUN
fcis-31597	140	15	:	:	PUNCT
fcis-31597	140	16	𝑞	𝑞	X
fcis-31597	140	17	𝐼𝑜𝑈	𝐼𝑜𝑈	PROPN
fcis-31597	140	18	⋅	⋅	PROPN
fcis-31597	140	19	𝑐𝑒𝑛𝑡𝑒𝑟𝑛𝑒𝑠𝑠	𝑐𝑒𝑛𝑡𝑒𝑟𝑛𝑒𝑠𝑠	NOUN
fcis-31597	140	20	∈	∈	PROPN
fcis-31597	140	21	0,1	0,1	NUM
fcis-31597	140	22	(	(	PUNCT
fcis-31597	140	23	4	4	NUM
fcis-31597	140	24	)	)	PUNCT
fcis-31597	140	25	where	where	SCONJ
fcis-31597	140	26	𝛼	𝛼	X
fcis-31597	140	27	and	and	CCONJ
fcis-31597	140	28	𝛽	𝛽	NOUN
fcis-31597	140	29	are	be	AUX
fcis-31597	140	30	gentle	gentle	ADJ
fcis-31597	140	31	exponents	exponent	NOUN
fcis-31597	140	32	(	(	PUNCT
fcis-31597	140	33	if	if	SCONJ
fcis-31597	140	34	a	a	DET
fcis-31597	140	35	centerness	centerness	NOUN
fcis-31597	140	36	term	term	NOUN
fcis-31597	140	37	is	be	AUX
fcis-31597	140	38	not	not	PART
fcis-31597	140	39	explicitly	explicitly	ADV
fcis-31597	140	40	modeled	model	VERB
fcis-31597	140	41	by	by	ADP
fcis-31597	140	42	the	the	DET
fcis-31597	140	43	detector	detector	NOUN
fcis-31597	140	44	,	,	PUNCT
fcis-31597	140	45	we	we	PRON
fcis-31597	140	46	set	set	VERB
fcis-31597	140	47	𝛽	𝛽	NOUN
fcis-31597	140	48	0	0	PUNCT
fcis-31597	141	1	so	so	SCONJ
fcis-31597	141	2	that	that	SCONJ
fcis-31597	141	3	𝑞	𝑞	X
fcis-31597	141	4	𝐼𝑜𝑈	𝐼𝑜𝑈	PROPN
fcis-31597	141	5	)	)	PUNCT
fcis-31597	142	1	.	.	PUNCT
fcis-31597	143	1	this	this	DET
fcis-31597	143	2	quality	quality	NOUN
fcis-31597	143	3	metric	metric	NOUN
fcis-31597	143	4	serves	serve	VERB
fcis-31597	143	5	as	as	ADP
fcis-31597	143	6	a	a	DET
fcis-31597	143	7	soft	soft	ADJ
fcis-31597	143	8	target	target	NOUN
fcis-31597	143	9	for	for	ADP
fcis-31597	143	10	classification	classification	NOUN
fcis-31597	143	11	training	training	NOUN
fcis-31597	143	12	-	-	PUNCT
fcis-31597	143	13	we	we	PRON
fcis-31597	143	14	use	use	VERB
fcis-31597	143	15	it	it	PRON
fcis-31597	143	16	as	as	ADP
fcis-31597	143	17	the	the	DET
fcis-31597	143	18	supervisory	supervisory	ADJ
fcis-31597	143	19	signal	signal	NOUN
fcis-31597	143	20	for	for	ADP
fcis-31597	143	21	the	the	DET
fcis-31597	143	22	classification	classification	NOUN
fcis-31597	143	23	branch	branch	NOUN
fcis-31597	143	24	(	(	PUNCT
fcis-31597	143	25	while	while	SCONJ
fcis-31597	143	26	detached	detach	VERB
fcis-31597	143	27	from	from	ADP
fcis-31597	143	28	the	the	DET
fcis-31597	143	29	regression	regression	NOUN
fcis-31597	143	30	branch)-and	branch)-and	NOUN
fcis-31597	143	31	it	it	PRON
fcis-31597	143	32	will	will	AUX
fcis-31597	143	33	also	also	ADV
fcis-31597	143	34	be	be	AUX
fcis-31597	143	35	used	use	VERB
fcis-31597	143	36	in	in	ADP
fcis-31597	143	37	the	the	DET
fcis-31597	143	38	listwise	listwise	NOUN
fcis-31597	143	39	and	and	CCONJ
fcis-31597	143	40	pairwise	pairwise	NOUN
fcis-31597	143	41	ranking	ranking	NOUN
fcis-31597	143	42	constraints	constraint	NOUN
fcis-31597	143	43	described	describe	VERB
fcis-31597	143	44	next	next	ADV
fcis-31597	143	45	.	.	PUNCT
fcis-31597	144	1	the	the	DET
fcis-31597	144	2	idea	idea	NOUN
fcis-31597	144	3	of	of	ADP
fcis-31597	144	4	using	use	VERB
fcis-31597	144	5	an	an	DET
fcis-31597	144	6	ioubased	ioubase	VERB
fcis-31597	144	7	quality	quality	NOUN
fcis-31597	144	8	score	score	NOUN
fcis-31597	144	9	for	for	ADP
fcis-31597	144	10	classification	classification	NOUN
fcis-31597	144	11	aligns	align	VERB
fcis-31597	144	12	with	with	ADP
fcis-31597	144	13	recent	recent	ADJ
fcis-31597	144	14	advances	advance	NOUN
fcis-31597	144	15	in	in	ADP
fcis-31597	144	16	dense	dense	ADJ
fcis-31597	144	17	object	object	NOUN
fcis-31597	144	18	detectors	detector	NOUN
fcis-31597	144	19	.	.	PUNCT
fcis-31597	145	1	2.3.2	2.3.2	NUM
fcis-31597	145	2	.	.	PUNCT
fcis-31597	145	3	combined	combine	VERB
fcis-31597	145	4	loss	loss	NOUN
fcis-31597	145	5	with	with	ADP
fcis-31597	145	6	three	three	NUM
fcis-31597	145	7	components	component	NOUN
fcis-31597	145	8	our	our	PRON
fcis-31597	145	9	rcq	rcq	NOUN
fcis-31597	145	10	-	-	PUNCT
fcis-31597	145	11	loss	loss	NOUN
fcis-31597	145	12	consists	consist	VERB
fcis-31597	145	13	of	of	ADP
fcis-31597	145	14	three	three	NUM
fcis-31597	145	15	parts	part	NOUN
fcis-31597	145	16	that	that	PRON
fcis-31597	145	17	work	work	VERB
fcis-31597	145	18	together	together	ADV
fcis-31597	145	19	:	:	PUNCT
fcis-31597	145	20	(	(	PUNCT
fcis-31597	145	21	1	1	X
fcis-31597	145	22	)	)	PUNCT
fcis-31597	145	23	quality	quality	NOUN
fcis-31597	145	24	-	-	PUNCT
fcis-31597	145	25	aware	aware	ADJ
fcis-31597	145	26	calibration	calibration	NOUN
fcis-31597	145	27	(	(	PUNCT
fcis-31597	145	28	pointwise	pointwise	PROPN
fcis-31597	145	29	):	):	PUNCT
fcis-31597	145	30	we	we	PRON
fcis-31597	145	31	first	first	ADV
fcis-31597	145	32	ensure	ensure	VERB
fcis-31597	145	33	that	that	SCONJ
fcis-31597	145	34	the	the	DET
fcis-31597	145	35	classification	classification	NOUN
fcis-31597	145	36	score	score	NOUN
fcis-31597	145	37	of	of	ADP
fcis-31597	145	38	each	each	DET
fcis-31597	145	39	positive	positive	ADJ
fcis-31597	145	40	sample	sample	NOUN
fcis-31597	145	41	reflects	reflect	VERB
fcis-31597	145	42	its	its	PRON
fcis-31597	145	43	localization	localization	NOUN
fcis-31597	145	44	quality	quality	NOUN
fcis-31597	145	45	.	.	PUNCT
fcis-31597	146	1	we	we	PRON
fcis-31597	146	2	apply	apply	VERB
fcis-31597	146	3	a	a	DET
fcis-31597	146	4	binary	binary	ADJ
fcis-31597	146	5	crossentropy	crossentropy	NOUN
fcis-31597	146	6	loss	loss	NOUN
fcis-31597	146	7	with	with	ADP
fcis-31597	146	8	a	a	DET
fcis-31597	146	9	focal	focal	ADJ
fcis-31597	146	10	weighting	weighting	NOUN
fcis-31597	146	11	term	term	NOUN
fcis-31597	146	12	on	on	ADP
fcis-31597	146	13	the	the	DET
fcis-31597	146	14	classification	classification	NOUN
fcis-31597	146	15	logit	logit	NOUN
fcis-31597	146	16	𝑠	𝑠	PROPN
fcis-31597	146	17	,	,	PUNCT
fcis-31597	146	18	using	use	VERB
fcis-31597	146	19	the	the	DET
fcis-31597	146	20	quality	quality	NOUN
fcis-31597	146	21	𝑞	𝑞	X
fcis-31597	146	22	(	(	PUNCT
fcis-31597	146	23	optionally	optionally	ADV
fcis-31597	146	24	raised	raise	VERB
fcis-31597	146	25	to	to	ADP
fcis-31597	146	26	a	a	DET
fcis-31597	146	27	power	power	NOUN
fcis-31597	146	28	𝛼	𝛼	NOUN
fcis-31597	146	29	)	)	PUNCT
fcis-31597	146	30	as	as	ADP
fcis-31597	146	31	the	the	DET
fcis-31597	146	32	target	target	NOUN
fcis-31597	146	33	probability	probability	NOUN
fcis-31597	146	34	.	.	PUNCT
fcis-31597	147	1	this	this	PRON
fcis-31597	147	2	can	can	AUX
fcis-31597	147	3	be	be	AUX
fcis-31597	147	4	written	write	VERB
fcis-31597	147	5	as	as	ADP
fcis-31597	147	6	:	:	PUNCT
fcis-31597	147	7	ℒ	ℒ	NOUN
fcis-31597	147	8	∑	∑	PUNCT
fcis-31597	147	9	∑	∑	PART
fcis-31597	147	10	𝑤∈	𝑤∈	NOUN
fcis-31597	147	11	⋅	⋅	ADJ
fcis-31597	147	12	𝐵𝐶𝐸	𝐵𝐶𝐸	PROPN
fcis-31597	147	13	𝜎	𝜎	NOUN
fcis-31597	147	14	𝑠	𝑠	INTJ
fcis-31597	147	15	,	,	PUNCT
fcis-31597	147	16	 	 	SPACE
fcis-31597	147	17	𝑞	𝑞	X
fcis-31597	147	18	(	(	PUNCT
fcis-31597	147	19	5	5	NUM
fcis-31597	147	20	)	)	PUNCT
fcis-31597	147	21	where	where	SCONJ
fcis-31597	147	22	𝜎	𝜎	PROPN
fcis-31597	147	23	𝑠	𝑠	PROPN
fcis-31597	147	24	is	be	AUX
fcis-31597	147	25	the	the	DET
fcis-31597	147	26	sigmoid	sigmoid	NOUN
fcis-31597	147	27	of	of	ADP
fcis-31597	147	28	the	the	DET
fcis-31597	147	29	logit	logit	NOUN
fcis-31597	147	30	and	and	CCONJ
fcis-31597	147	31	𝑤	𝑤	ADV
fcis-31597	147	32	is	be	AUX
fcis-31597	147	33	a	a	DET
fcis-31597	147	34	modulating	modulating	ADJ
fcis-31597	147	35	weight	weight	NOUN
fcis-31597	147	36	(	(	PUNCT
fcis-31597	147	37	as	as	ADP
fcis-31597	147	38	in	in	ADP
fcis-31597	147	39	focal	focal	ADJ
fcis-31597	147	40	loss	loss	NOUN
fcis-31597	147	41	)	)	PUNCT
fcis-31597	147	42	.	.	PUNCT
fcis-31597	148	1	this	this	DET
fcis-31597	148	2	formulation	formulation	NOUN
fcis-31597	148	3	is	be	AUX
fcis-31597	148	4	32	32	NUM
fcis-31597	148	5	similar	similar	ADJ
fcis-31597	148	6	to	to	ADP
fcis-31597	148	7	the	the	DET
fcis-31597	148	8	iou	iou	NOUN
fcis-31597	148	9	-	-	PUNCT
fcis-31597	148	10	aware	aware	ADJ
fcis-31597	148	11	classification	classification	NOUN
fcis-31597	148	12	used	use	VERB
fcis-31597	148	13	in	in	ADP
fcis-31597	148	14	gfl	gfl	PROPN
fcis-31597	148	15	and	and	CCONJ
fcis-31597	148	16	vfnet	vfnet	NOUN
fcis-31597	148	17	,	,	PUNCT
fcis-31597	148	18	ensuring	ensure	VERB
fcis-31597	148	19	that	that	SCONJ
fcis-31597	148	20	the	the	DET
fcis-31597	148	21	magnitude	magnitude	NOUN
fcis-31597	148	22	of	of	ADP
fcis-31597	148	23	classification	classification	NOUN
fcis-31597	148	24	scores	score	NOUN
fcis-31597	148	25	is	be	AUX
fcis-31597	148	26	calibrated	calibrate	VERB
fcis-31597	148	27	to	to	PART
fcis-31597	148	28	indicate	indicate	VERB
fcis-31597	148	29	the	the	DET
fcis-31597	148	30	localization	localization	NOUN
fcis-31597	148	31	quality	quality	NOUN
fcis-31597	148	32	.	.	PUNCT
fcis-31597	149	1	essentially	essentially	ADV
fcis-31597	149	2	,	,	PUNCT
fcis-31597	149	3	higher	high	ADJ
fcis-31597	149	4	iou	iou	NOUN
fcis-31597	149	5	(	(	PUNCT
fcis-31597	149	6	and	and	CCONJ
fcis-31597	149	7	better	well	ADJ
fcis-31597	149	8	centerness	centerness	NOUN
fcis-31597	149	9	)	)	PUNCT
fcis-31597	149	10	should	should	AUX
fcis-31597	149	11	push	push	VERB
fcis-31597	149	12	the	the	DET
fcis-31597	149	13	classification	classification	NOUN
fcis-31597	149	14	score	score	NOUN
fcis-31597	149	15	closer	close	ADV
fcis-31597	149	16	to	to	ADP
fcis-31597	149	17	1	1	NUM
fcis-31597	149	18	.	.	PUNCT
fcis-31597	150	1	(	(	PUNCT
fcis-31597	150	2	2	2	NUM
fcis-31597	150	3	)	)	PUNCT
fcis-31597	150	4	listwise	listwise	ADJ
fcis-31597	150	5	distribution	distribution	NOUN
fcis-31597	150	6	alignment	alignment	NOUN
fcis-31597	150	7	(	(	PUNCT
fcis-31597	150	8	global	global	ADJ
fcis-31597	150	9	):	):	PUNCT
fcis-31597	150	10	beyond	beyond	ADP
fcis-31597	150	11	individual	individual	ADJ
fcis-31597	150	12	calibration	calibration	NOUN
fcis-31597	150	13	,	,	PUNCT
fcis-31597	150	14	we	we	PRON
fcis-31597	150	15	want	want	VERB
fcis-31597	150	16	the	the	DET
fcis-31597	150	17	distribution	distribution	NOUN
fcis-31597	150	18	of	of	ADP
fcis-31597	150	19	scores	score	NOUN
fcis-31597	150	20	for	for	ADP
fcis-31597	150	21	the	the	DET
fcis-31597	150	22	positives	positive	NOUN
fcis-31597	150	23	of	of	ADP
fcis-31597	150	24	each	each	DET
fcis-31597	150	25	ground	ground	NOUN
fcis-31597	150	26	truth	truth	NOUN
fcis-31597	150	27	to	to	PART
fcis-31597	150	28	match	match	VERB
fcis-31597	150	29	the	the	DET
fcis-31597	150	30	distribution	distribution	NOUN
fcis-31597	150	31	of	of	ADP
fcis-31597	150	32	their	their	PRON
fcis-31597	150	33	quality	quality	NOUN
fcis-31597	150	34	scores	score	NOUN
fcis-31597	150	35	.	.	PUNCT
fcis-31597	151	1	for	for	ADP
fcis-31597	151	2	a	a	DET
fcis-31597	151	3	given	give	VERB
fcis-31597	151	4	ground	ground	NOUN
fcis-31597	151	5	truth	truth	NOUN
fcis-31597	151	6	𝑔	𝑔	NOUN
fcis-31597	151	7	,	,	PUNCT
fcis-31597	151	8	let	let	VERB
fcis-31597	151	9	𝐬	𝐬	PRON
fcis-31597	151	10	𝑠	𝑠	PROPN
fcis-31597	151	11	:	:	PUNCT
fcis-31597	151	12	𝑖	𝑖	SYM
fcis-31597	151	13	∈	∈	PROPN
fcis-31597	151	14	𝑆	𝑆	PROPN
fcis-31597	151	15	be	be	VERB
fcis-31597	151	16	the	the	DET
fcis-31597	151	17	set	set	NOUN
fcis-31597	151	18	of	of	ADP
fcis-31597	151	19	classification	classification	NOUN
fcis-31597	151	20	logits	logit	NOUN
fcis-31597	151	21	and	and	CCONJ
fcis-31597	151	22	𝐪	𝐪	ADJ
fcis-31597	151	23	𝑞	𝑞	X
fcis-31597	152	1	:	:	PUNCT
fcis-31597	152	2	𝑖	𝑖	SYM
fcis-31597	152	3	∈	∈	PROPN
fcis-31597	152	4	𝑆	𝑆	PROPN
fcis-31597	152	5	the	the	DET
fcis-31597	152	6	corresponding	correspond	VERB
fcis-31597	152	7	qualities	quality	NOUN
fcis-31597	152	8	.	.	PUNCT
fcis-31597	153	1	we	we	PRON
fcis-31597	153	2	apply	apply	VERB
fcis-31597	153	3	a	a	DET
fcis-31597	153	4	softmax	softmax	NOUN
fcis-31597	153	5	with	with	ADP
fcis-31597	153	6	temperature	temperature	NOUN
fcis-31597	153	7	t	t	PROPN
fcis-31597	153	8	to	to	ADP
fcis-31597	153	9	each	each	DET
fcis-31597	153	10	set	set	NOUN
fcis-31597	153	11	,	,	PUNCT
fcis-31597	153	12	obtaining	obtain	VERB
fcis-31597	153	13	probability	probability	NOUN
fcis-31597	153	14	distributions	distribution	NOUN
fcis-31597	153	15	over	over	ADP
fcis-31597	153	16	the	the	DET
fcis-31597	153	17	samples	sample	NOUN
fcis-31597	153	18	:	:	PUNCT
fcis-31597	153	19	𝐩	𝐩	X
fcis-31597	153	20	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	ADJ
fcis-31597	153	21	𝐬/𝑇	𝐬/𝑇	NOUN
fcis-31597	153	22	and	and	CCONJ
fcis-31597	153	23	𝐩	𝐩	DET
fcis-31597	153	24	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	ADJ
fcis-31597	153	25	𝐪/𝑇	𝐪/𝑇	ADJ
fcis-31597	153	26	.	.	PUNCT
fcis-31597	154	1	we	we	PRON
fcis-31597	154	2	then	then	ADV
fcis-31597	154	3	minimize	minimize	VERB
fcis-31597	154	4	the	the	DET
fcis-31597	154	5	divergence	divergence	NOUN
fcis-31597	154	6	between	between	ADP
fcis-31597	154	7	these	these	DET
fcis-31597	154	8	two	two	NUM
fcis-31597	154	9	distributions	distribution	NOUN
fcis-31597	154	10	.	.	PUNCT
fcis-31597	155	1	in	in	ADP
fcis-31597	155	2	practice	practice	NOUN
fcis-31597	155	3	,	,	PUNCT
fcis-31597	155	4	we	we	PRON
fcis-31597	155	5	use	use	VERB
fcis-31597	155	6	a	a	DET
fcis-31597	155	7	kldivergence	kldivergence	NOUN
fcis-31597	155	8	or	or	CCONJ
fcis-31597	155	9	cross	cross	NOUN
fcis-31597	155	10	-	-	NOUN
fcis-31597	155	11	entropy	entropy	ADJ
fcis-31597	155	12	:	:	PUNCT
fcis-31597	155	13	ℒ	ℒ	PROPN
fcis-31597	155	14	𝐷	𝐷	PROPN
fcis-31597	155	15	𝐩	𝐩	NOUN
fcis-31597	155	16	||𝐩	||𝐩	NOUN
fcis-31597	155	17	(	(	PUNCT
fcis-31597	155	18	6	6	NUM
fcis-31597	155	19	)	)	PUNCT
fcis-31597	155	20	which	which	PRON
fcis-31597	155	21	encourages	encourage	VERB
fcis-31597	155	22	the	the	DET
fcis-31597	155	23	shape	shape	NOUN
fcis-31597	155	24	of	of	ADP
fcis-31597	155	25	the	the	DET
fcis-31597	155	26	score	score	NOUN
fcis-31597	155	27	distribution	distribution	NOUN
fcis-31597	155	28	to	to	PART
fcis-31597	155	29	mirror	mirror	VERB
fcis-31597	155	30	the	the	DET
fcis-31597	155	31	shape	shape	NOUN
fcis-31597	155	32	of	of	ADP
fcis-31597	155	33	the	the	DET
fcis-31597	155	34	quality	quality	NOUN
fcis-31597	155	35	distribution	distribution	NOUN
fcis-31597	155	36	for	for	ADP
fcis-31597	155	37	each	each	DET
fcis-31597	155	38	object	object	NOUN
fcis-31597	155	39	.	.	PUNCT
fcis-31597	156	1	intuitively	intuitively	ADV
fcis-31597	156	2	,	,	PUNCT
fcis-31597	156	3	this	this	PRON
fcis-31597	156	4	means	mean	VERB
fcis-31597	156	5	that	that	SCONJ
fcis-31597	156	6	if	if	SCONJ
fcis-31597	156	7	a	a	DET
fcis-31597	156	8	particular	particular	ADJ
fcis-31597	156	9	positive	positive	ADJ
fcis-31597	156	10	sample	sample	NOUN
fcis-31597	156	11	has	have	VERB
fcis-31597	156	12	significantly	significantly	ADV
fcis-31597	156	13	higher	high	ADJ
fcis-31597	156	14	iou	iou	NOUN
fcis-31597	156	15	/	/	SYM
fcis-31597	156	16	quality	quality	NOUN
fcis-31597	156	17	than	than	ADP
fcis-31597	156	18	the	the	DET
fcis-31597	156	19	others	other	NOUN
fcis-31597	156	20	for	for	ADP
fcis-31597	156	21	the	the	DET
fcis-31597	156	22	same	same	ADJ
fcis-31597	156	23	object	object	NOUN
fcis-31597	156	24	,	,	PUNCT
fcis-31597	156	25	the	the	DET
fcis-31597	156	26	model	model	NOUN
fcis-31597	156	27	is	be	AUX
fcis-31597	156	28	pushed	push	VERB
fcis-31597	156	29	to	to	PART
fcis-31597	156	30	assign	assign	VERB
fcis-31597	156	31	it	it	PRON
fcis-31597	156	32	a	a	DET
fcis-31597	156	33	significantly	significantly	ADV
fcis-31597	156	34	higher	high	ADJ
fcis-31597	156	35	classification	classification	NOUN
fcis-31597	156	36	probability	probability	NOUN
fcis-31597	156	37	as	as	ADV
fcis-31597	156	38	well	well	ADV
fcis-31597	156	39	.	.	PUNCT
fcis-31597	157	1	this	this	PRON
fcis-31597	157	2	improves	improve	VERB
fcis-31597	157	3	the	the	DET
fcis-31597	157	4	overall	overall	ADJ
fcis-31597	157	5	ranking	ranking	NOUN
fcis-31597	157	6	of	of	ADP
fcis-31597	157	7	candidates	candidate	NOUN
fcis-31597	157	8	associated	associate	VERB
fcis-31597	157	9	with	with	ADP
fcis-31597	157	10	each	each	DET
fcis-31597	157	11	object	object	NOUN
fcis-31597	157	12	.	.	PUNCT
fcis-31597	158	1	(	(	PUNCT
fcis-31597	158	2	3	3	X
fcis-31597	158	3	)	)	PUNCT
fcis-31597	158	4	pairwise	pairwise	NOUN
fcis-31597	158	5	ranking	rank	VERB
fcis-31597	158	6	consistency	consistency	NOUN
fcis-31597	158	7	(	(	PUNCT
fcis-31597	158	8	local	local	ADJ
fcis-31597	158	9	):	):	PUNCT
fcis-31597	158	10	finally	finally	ADV
fcis-31597	158	11	,	,	PUNCT
fcis-31597	158	12	we	we	PRON
fcis-31597	158	13	introduce	introduce	VERB
fcis-31597	158	14	a	a	DET
fcis-31597	158	15	pairwise	pairwise	NOUN
fcis-31597	158	16	ranking	rank	VERB
fcis-31597	158	17	term	term	NOUN
fcis-31597	158	18	to	to	PART
fcis-31597	158	19	enforce	enforce	VERB
fcis-31597	158	20	consistent	consistent	ADJ
fcis-31597	158	21	ordering	ordering	NOUN
fcis-31597	158	22	of	of	ADP
fcis-31597	158	23	scores	score	NOUN
fcis-31597	158	24	for	for	ADP
fcis-31597	158	25	any	any	DET
fcis-31597	158	26	two	two	NUM
fcis-31597	158	27	positive	positive	ADJ
fcis-31597	158	28	samples	sample	NOUN
fcis-31597	158	29	of	of	ADP
fcis-31597	158	30	the	the	DET
fcis-31597	158	31	same	same	ADJ
fcis-31597	158	32	object	object	NOUN
fcis-31597	158	33	.	.	PUNCT
fcis-31597	159	1	define	define	VERB
fcis-31597	159	2	the	the	DET
fcis-31597	159	3	set	set	NOUN
fcis-31597	159	4	of	of	ADP
fcis-31597	159	5	sample	sample	NOUN
fcis-31597	159	6	pairs	pair	NOUN
fcis-31597	159	7	𝒫	𝒫	NOUN
fcis-31597	159	8	𝑖	𝑖	NOUN
fcis-31597	159	9	,	,	PUNCT
fcis-31597	159	10	𝑗	𝑗	PROPN
fcis-31597	159	11	∣	∣	ADJ
fcis-31597	159	12	𝑞	𝑞	X
fcis-31597	159	13	𝑞	𝑞	X
fcis-31597	159	14	𝜀	𝜀	PROPN
fcis-31597	159	15	for	for	ADP
fcis-31597	159	16	a	a	DET
fcis-31597	159	17	ground	ground	NOUN
fcis-31597	159	18	truth	truth	NOUN
fcis-31597	159	19	𝑔	𝑔	NOUN
fcis-31597	159	20	,	,	PUNCT
fcis-31597	159	21	i.e.	i.e.	X
fcis-31597	159	22	all	all	DET
fcis-31597	159	23	pairs	pair	NOUN
fcis-31597	159	24	where	where	SCONJ
fcis-31597	159	25	sample	sample	NOUN
fcis-31597	159	26	𝑖	𝑖	VERB
fcis-31597	159	27	has	have	VERB
fcis-31597	159	28	a	a	DET
fcis-31597	159	29	quality	quality	NOUN
fcis-31597	159	30	higher	high	ADJ
fcis-31597	159	31	than	than	ADP
fcis-31597	159	32	sample	sample	NOUN
fcis-31597	159	33	𝑗	𝑗	INTJ
fcis-31597	159	34	by	by	ADP
fcis-31597	159	35	at	at	ADV
fcis-31597	159	36	least	least	ADJ
fcis-31597	159	37	a	a	PRON
fcis-31597	159	38	margin	margin	NOUN
fcis-31597	159	39	𝜀.	𝜀.	NOUN
fcis-31597	159	40	for	for	ADP
fcis-31597	159	41	each	each	DET
fcis-31597	159	42	such	such	ADJ
fcis-31597	159	43	pair	pair	NOUN
fcis-31597	159	44	,	,	PUNCT
fcis-31597	159	45	we	we	PRON
fcis-31597	159	46	impose	impose	VERB
fcis-31597	159	47	a	a	DET
fcis-31597	159	48	hinge	hinge	NOUN
fcis-31597	159	49	loss	loss	NOUN
fcis-31597	159	50	that	that	PRON
fcis-31597	159	51	insists	insist	VERB
fcis-31597	159	52	𝑖	𝑖	PRON
fcis-31597	159	53	's	's	PART
fcis-31597	159	54	score	score	NOUN
fcis-31597	159	55	should	should	AUX
fcis-31597	159	56	exceed	exceed	VERB
fcis-31597	159	57	𝑗	𝑗	PROPN
fcis-31597	159	58	's	's	PART
fcis-31597	159	59	by	by	ADP
fcis-31597	159	60	a	a	DET
fcis-31597	159	61	margin	margin	NOUN
fcis-31597	159	62	𝑚	𝑚	NOUN
fcis-31597	159	63	:	:	PUNCT
fcis-31597	159	64	ℒ	ℒ	PROPN
fcis-31597	159	65	|𝒫	|𝒫	X
fcis-31597	159	66	|	|	ADV
fcis-31597	159	67	∑	∑	PART
fcis-31597	159	68	𝑤	𝑤	PROPN
fcis-31597	159	69	,	,	PUNCT
fcis-31597	159	70	∈𝒫	∈𝒫	NOUN
fcis-31597	159	71	max	max	PROPN
fcis-31597	159	72	0	0	NUM
fcis-31597	159	73	,	,	PUNCT
fcis-31597	159	74	𝑚	𝑚	PROPN
fcis-31597	159	75	𝜎	𝜎	VERB
fcis-31597	159	76	𝑠	𝑠	INTJ
fcis-31597	159	77	𝜎	𝜎	PROPN
fcis-31597	159	78	𝑠	𝑠	PROPN
fcis-31597	159	79	(	(	PUNCT
fcis-31597	159	80	7	7	NUM
fcis-31597	159	81	)	)	PUNCT
fcis-31597	159	82	where	where	SCONJ
fcis-31597	159	83	𝑤	𝑤	PART
fcis-31597	159	84	is	be	AUX
fcis-31597	159	85	a	a	DET
fcis-31597	159	86	weight	weight	NOUN
fcis-31597	159	87	proportional	proportional	NOUN
fcis-31597	159	88	to	to	ADP
fcis-31597	159	89	𝑞	𝑞	PROPN
fcis-31597	159	90	𝑞	𝑞	PROPN
fcis-31597	159	91	,	,	PUNCT
fcis-31597	159	92	which	which	DET
fcis-31597	159	93	down	down	ADP
fcis-31597	159	94	-	-	PUNCT
fcis-31597	159	95	weights	weight	NOUN
fcis-31597	159	96	pairs	pair	NOUN
fcis-31597	159	97	with	with	ADP
fcis-31597	159	98	very	very	ADV
fcis-31597	159	99	similar	similar	ADJ
fcis-31597	159	100	qualities	quality	NOUN
fcis-31597	159	101	(	(	PUNCT
fcis-31597	159	102	making	make	VERB
fcis-31597	159	103	the	the	DET
fcis-31597	159	104	loss	loss	NOUN
fcis-31597	159	105	focus	focus	VERB
fcis-31597	159	106	on	on	ADP
fcis-31597	159	107	pairs	pair	NOUN
fcis-31597	159	108	that	that	PRON
fcis-31597	159	109	truly	truly	ADV
fcis-31597	159	110	differ	differ	VERB
fcis-31597	159	111	in	in	ADP
fcis-31597	159	112	iou	iou	NOUN
fcis-31597	159	113	)	)	PUNCT
fcis-31597	159	114	.	.	PUNCT
fcis-31597	160	1	by	by	ADP
fcis-31597	160	2	enforcing	enforce	VERB
fcis-31597	160	3	this	this	PRON
fcis-31597	160	4	,	,	PUNCT
fcis-31597	160	5	if	if	SCONJ
fcis-31597	160	6	sample	sample	NOUN
fcis-31597	160	7	i	i	PRON
fcis-31597	160	8	has	have	VERB
fcis-31597	160	9	a	a	DET
fcis-31597	160	10	clearly	clearly	ADV
fcis-31597	160	11	better	well	ADJ
fcis-31597	160	12	iou	iou	NOUN
fcis-31597	160	13	than	than	ADP
fcis-31597	160	14	j	j	PROPN
fcis-31597	160	15	,	,	PUNCT
fcis-31597	160	16	the	the	DET
fcis-31597	160	17	model	model	NOUN
fcis-31597	160	18	learns	learn	VERB
fcis-31597	160	19	to	to	PART
fcis-31597	160	20	give	give	VERB
fcis-31597	160	21	𝑖	𝑖	ADP
fcis-31597	160	22	a	a	DET
fcis-31597	160	23	higher	high	ADJ
fcis-31597	160	24	score	score	NOUN
fcis-31597	160	25	by	by	ADP
fcis-31597	160	26	a	a	DET
fcis-31597	160	27	clear	clear	ADJ
fcis-31597	160	28	margin	margin	NOUN
fcis-31597	160	29	.	.	PUNCT
fcis-31597	161	1	this	this	DET
fcis-31597	161	2	component	component	NOUN
fcis-31597	161	3	shares	share	VERB
fcis-31597	161	4	the	the	DET
fcis-31597	161	5	spirit	spirit	NOUN
fcis-31597	161	6	of	of	ADP
fcis-31597	161	7	the	the	DET
fcis-31597	161	8	rank	rank	PROPN
fcis-31597	161	9	&	&	CCONJ
fcis-31597	161	10	sort	sort	ADJ
fcis-31597	161	11	loss	loss	NOUN
fcis-31597	161	12	paradigm	paradigm	NOUN
fcis-31597	161	13	in	in	ADP
fcis-31597	161	14	rankingbased	rankingbased	ADJ
fcis-31597	161	15	learning	learning	NOUN
fcis-31597	161	16	,	,	PUNCT
fcis-31597	161	17	but	but	CCONJ
fcis-31597	161	18	we	we	PRON
fcis-31597	161	19	restrict	restrict	VERB
fcis-31597	161	20	it	it	PRON
fcis-31597	161	21	to	to	ADP
fcis-31597	161	22	the	the	DET
fcis-31597	161	23	local	local	ADJ
fcis-31597	161	24	set	set	NOUN
fcis-31597	161	25	of	of	ADP
fcis-31597	161	26	positives	positive	NOUN
fcis-31597	161	27	for	for	ADP
fcis-31597	161	28	each	each	DET
fcis-31597	161	29	single	single	ADJ
fcis-31597	161	30	ground	ground	NOUN
fcis-31597	161	31	truth	truth	NOUN
fcis-31597	161	32	.	.	PUNCT
fcis-31597	162	1	this	this	DET
fcis-31597	162	2	localized	localize	VERB
fcis-31597	162	3	approach	approach	NOUN
fcis-31597	162	4	avoids	avoid	VERB
fcis-31597	162	5	the	the	DET
fcis-31597	162	6	instability	instability	NOUN
fcis-31597	162	7	and	and	CCONJ
fcis-31597	162	8	extra	extra	ADJ
fcis-31597	162	9	complexity	complexity	NOUN
fcis-31597	162	10	that	that	PRON
fcis-31597	162	11	can	can	AUX
fcis-31597	162	12	arise	arise	VERB
fcis-31597	162	13	from	from	ADP
fcis-31597	162	14	applying	apply	VERB
fcis-31597	162	15	ranking	ranking	NOUN
fcis-31597	162	16	losses	loss	NOUN
fcis-31597	162	17	globally	globally	ADV
fcis-31597	162	18	across	across	ADP
fcis-31597	162	19	all	all	DET
fcis-31597	162	20	detections	detection	NOUN
fcis-31597	162	21	.	.	PUNCT
fcis-31597	163	1	(	(	PUNCT
fcis-31597	163	2	4	4	X
fcis-31597	163	3	)	)	PUNCT
fcis-31597	163	4	total	total	ADJ
fcis-31597	163	5	objective	objective	NOUN
fcis-31597	163	6	:	:	PUNCT
fcis-31597	163	7	the	the	DET
fcis-31597	163	8	overall	overall	ADJ
fcis-31597	163	9	rcq	rcq	NOUN
fcis-31597	163	10	classification	classification	NOUN
fcis-31597	163	11	loss	loss	NOUN
fcis-31597	163	12	is	be	AUX
fcis-31597	163	13	a	a	DET
fcis-31597	163	14	weighted	weighted	ADJ
fcis-31597	163	15	sum	sum	NOUN
fcis-31597	163	16	of	of	ADP
fcis-31597	163	17	the	the	DET
fcis-31597	163	18	above	above	ADJ
fcis-31597	163	19	three	three	NUM
fcis-31597	163	20	parts	part	NOUN
fcis-31597	163	21	:	:	PUNCT
fcis-31597	163	22	ℒ	ℒ	PROPN
fcis-31597	163	23	𝜆	𝜆	DET
fcis-31597	163	24	 	 	SPACE
fcis-31597	163	25	ℒ𝒸𝒶ℓ	ℒ𝒸𝒶ℓ	PROPN
fcis-31597	163	26	𝜆ℓ𝒾𝓈𝓉	𝜆ℓ𝒾𝓈𝓉	NOUN
fcis-31597	163	27	 	 	SPACE
fcis-31597	163	28	ℒℓ𝒾𝓈𝓉	ℒℓ𝒾𝓈𝓉	PROPN
fcis-31597	163	29	𝜆𝓇𝒶𝓃𝓀	𝜆𝓇𝒶𝓃𝓀	VERB
fcis-31597	163	30	 	 	SPACE
fcis-31597	163	31	ℒ	ℒ	PROPN
fcis-31597	163	32	(	(	PUNCT
fcis-31597	163	33	8)	8)	NUM
fcis-31597	163	34	where	where	SCONJ
fcis-31597	163	35	𝜆	𝜆	X
fcis-31597	163	36	,	,	PUNCT
fcis-31597	163	37	𝜆	𝜆	NOUN
fcis-31597	163	38	,	,	PUNCT
fcis-31597	163	39	𝜆	𝜆	DET
fcis-31597	163	40	control	control	NOUN
fcis-31597	163	41	the	the	DET
fcis-31597	163	42	balance	balance	NOUN
fcis-31597	163	43	among	among	ADP
fcis-31597	163	44	the	the	DET
fcis-31597	163	45	terms	term	NOUN
fcis-31597	163	46	.	.	PUNCT
fcis-31597	164	1	during	during	ADP
fcis-31597	164	2	inference	inference	NOUN
fcis-31597	164	3	,	,	PUNCT
fcis-31597	164	4	no	no	DET
fcis-31597	164	5	additional	additional	ADJ
fcis-31597	164	6	branches	branch	NOUN
fcis-31597	164	7	or	or	CCONJ
fcis-31597	164	8	postprocessing	postprocessing	NOUN
fcis-31597	164	9	are	be	AUX
fcis-31597	164	10	needed	need	VERB
fcis-31597	164	11	for	for	ADP
fcis-31597	164	12	this	this	DET
fcis-31597	164	13	loss	loss	NOUN
fcis-31597	164	14	-	-	PUNCT
fcis-31597	164	15	we	we	PRON
fcis-31597	164	16	simply	simply	ADV
fcis-31597	164	17	use	use	VERB
fcis-31597	164	18	the	the	DET
fcis-31597	164	19	regular	regular	ADJ
fcis-31597	164	20	classification	classification	NOUN
fcis-31597	164	21	scores	score	NOUN
fcis-31597	164	22	for	for	ADP
fcis-31597	164	23	ranking	ranking	NOUN
fcis-31597	164	24	detections	detection	NOUN
fcis-31597	164	25	.	.	PUNCT
fcis-31597	165	1	the	the	DET
fcis-31597	165	2	rcq	rcq	NOUN
fcis-31597	165	3	-	-	PUNCT
fcis-31597	165	4	loss	loss	NOUN
fcis-31597	165	5	is	be	AUX
fcis-31597	165	6	naturally	naturally	ADV
fcis-31597	165	7	compatible	compatible	ADJ
fcis-31597	165	8	with	with	ADP
fcis-31597	165	9	nms	nms	NOUN
fcis-31597	165	10	-	-	PUNCT
fcis-31597	165	11	free	free	ADJ
fcis-31597	165	12	training	training	NOUN
fcis-31597	165	13	and	and	CCONJ
fcis-31597	165	14	inference	inference	NOUN
fcis-31597	165	15	.	.	PUNCT
fcis-31597	166	1	in	in	ADP
fcis-31597	166	2	fact	fact	NOUN
fcis-31597	166	3	,	,	PUNCT
fcis-31597	166	4	using	use	VERB
fcis-31597	166	5	only	only	ADV
fcis-31597	166	6	a	a	DET
fcis-31597	166	7	single	single	ADJ
fcis-31597	166	8	score	score	NOUN
fcis-31597	166	9	that	that	PRON
fcis-31597	166	10	truly	truly	ADV
fcis-31597	166	11	reflects	reflect	VERB
fcis-31597	166	12	localization	localization	NOUN
fcis-31597	166	13	quality	quality	NOUN
fcis-31597	166	14	can	can	AUX
fcis-31597	166	15	facilitate	facilitate	VERB
fcis-31597	166	16	methods	method	NOUN
fcis-31597	166	17	like	like	ADP
fcis-31597	166	18	the	the	DET
fcis-31597	166	19	consistent	consistent	ADJ
fcis-31597	166	20	dual	dual	ADJ
fcis-31597	166	21	assignment	assignment	NOUN
fcis-31597	166	22	strategy	strategy	NOUN
fcis-31597	166	23	of	of	ADP
fcis-31597	166	24	yolov10	yolov10	NOUN
fcis-31597	166	25	for	for	ADP
fcis-31597	166	26	nms	nms	NOUN
fcis-31597	166	27	-	-	PUNCT
fcis-31597	166	28	free	free	ADJ
fcis-31597	166	29	detection	detection	NOUN
fcis-31597	166	30	.	.	PUNCT
fcis-31597	167	1	2.3.3	2.3.3	X
fcis-31597	167	2	.	.	PUNCT
fcis-31597	167	3	regression	regression	NOUN
fcis-31597	167	4	branch	branch	NOUN
fcis-31597	167	5	and	and	CCONJ
fcis-31597	167	6	geometric	geometric	ADJ
fcis-31597	167	7	loss	loss	NOUN
fcis-31597	167	8	for	for	ADP
fcis-31597	167	9	the	the	DET
fcis-31597	167	10	regression	regression	NOUN
fcis-31597	167	11	branch	branch	NOUN
fcis-31597	167	12	,	,	PUNCT
fcis-31597	167	13	we	we	PRON
fcis-31597	167	14	follow	follow	VERB
fcis-31597	167	15	the	the	DET
fcis-31597	167	16	distribution	distribution	NOUN
fcis-31597	167	17	focal	focal	ADJ
fcis-31597	167	18	loss	loss	NOUN
fcis-31597	167	19	(	(	PUNCT
fcis-31597	167	20	dfl	dfl	PROPN
fcis-31597	167	21	)	)	PUNCT
fcis-31597	167	22	approach	approach	NOUN
fcis-31597	167	23	to	to	PART
fcis-31597	167	24	encode	encode	VERB
fcis-31597	167	25	each	each	DET
fcis-31597	167	26	bounding	bounding	NOUN
fcis-31597	167	27	box	box	NOUN
fcis-31597	167	28	coordinate	coordinate	NOUN
fcis-31597	167	29	as	as	ADP
fcis-31597	167	30	a	a	DET
fcis-31597	167	31	discrete	discrete	ADJ
fcis-31597	167	32	distribution	distribution	NOUN
fcis-31597	167	33	(	(	PUNCT
fcis-31597	167	34	over	over	ADP
fcis-31597	167	35	quantized	quantize	VERB
fcis-31597	167	36	bins	bin	NOUN
fcis-31597	167	37	)	)	PUNCT
fcis-31597	167	38	and	and	CCONJ
fcis-31597	167	39	predict	predict	VERB
fcis-31597	167	40	the	the	DET
fcis-31597	167	41	distribution	distribution	NOUN
fcis-31597	167	42	,	,	PUNCT
fcis-31597	167	43	which	which	PRON
fcis-31597	167	44	effectively	effectively	ADV
fcis-31597	167	45	models	model	VERB
fcis-31597	167	46	the	the	DET
fcis-31597	167	47	uncertainty	uncertainty	NOUN
fcis-31597	167	48	of	of	ADP
fcis-31597	167	49	the	the	DET
fcis-31597	167	50	boundary	boundary	NOUN
fcis-31597	167	51	.	.	PUNCT
fcis-31597	168	1	the	the	DET
fcis-31597	168	2	regression	regression	NOUN
fcis-31597	168	3	is	be	AUX
fcis-31597	168	4	optimized	optimize	VERB
fcis-31597	168	5	with	with	ADP
fcis-31597	168	6	a	a	DET
fcis-31597	168	7	combination	combination	NOUN
fcis-31597	168	8	of	of	ADP
fcis-31597	168	9	a	a	DET
fcis-31597	168	10	dfl	dfl	NOUN
fcis-31597	168	11	loss	loss	NOUN
fcis-31597	168	12	and	and	CCONJ
fcis-31597	168	13	an	an	DET
fcis-31597	168	14	iou	iou	NOUN
fcis-31597	168	15	-	-	PUNCT
fcis-31597	168	16	based	base	VERB
fcis-31597	168	17	loss	loss	NOUN
fcis-31597	168	18	:	:	PUNCT
fcis-31597	168	19	ℒ	ℒ	ADJ
fcis-31597	168	20	ℒ	ℒ	PROPN
fcis-31597	168	21	ℒℐℴ𝒰	ℒℐℴ𝒰	PROPN
fcis-31597	168	22	,	,	PUNCT
fcis-31597	168	23	𝓌𝒽ℯ𝓇ℯ	𝓌𝒽ℯ𝓇ℯ	ADJ
fcis-31597	168	24	ℒℐℴ𝒰	ℒℐℴ𝒰	PROPN
fcis-31597	168	25	∈	∈	PROPN
fcis-31597	168	26	𝐷	𝐷	PROPN
fcis-31597	168	27	,	,	PUNCT
fcis-31597	168	28	 	 	SPACE
fcis-31597	168	29	𝐶	𝐶	PROPN
fcis-31597	168	30	,	,	PUNCT
fcis-31597	168	31	 	 	SPACE
fcis-31597	168	32	𝑆	𝑆	PROPN
fcis-31597	168	33	(	(	PUNCT
fcis-31597	168	34	9	9	NUM
fcis-31597	168	35	)	)	PUNCT
fcis-31597	168	36	the	the	DET
fcis-31597	168	37	dfl	dfl	PROPN
fcis-31597	168	38	component	component	NOUN
fcis-31597	168	39	provides	provide	VERB
fcis-31597	168	40	a	a	DET
fcis-31597	168	41	robust	robust	ADJ
fcis-31597	168	42	learning	learning	NOUN
fcis-31597	168	43	signal	signal	NOUN
fcis-31597	168	44	by	by	ADP
fcis-31597	168	45	treating	treat	VERB
fcis-31597	168	46	box	box	NOUN
fcis-31597	168	47	localization	localization	NOUN
fcis-31597	168	48	as	as	ADP
fcis-31597	168	49	a	a	DET
fcis-31597	168	50	distribution	distribution	NOUN
fcis-31597	168	51	prediction	prediction	NOUN
fcis-31597	168	52	problem	problem	NOUN
fcis-31597	168	53	,	,	PUNCT
fcis-31597	168	54	which	which	PRON
fcis-31597	168	55	is	be	AUX
fcis-31597	168	56	known	know	VERB
fcis-31597	168	57	to	to	PART
fcis-31597	168	58	capture	capture	VERB
fcis-31597	168	59	boundary	boundary	ADJ
fcis-31597	168	60	uncertainty	uncertainty	NOUN
fcis-31597	168	61	effectively	effectively	ADV
fcis-31597	168	62	.	.	PUNCT
fcis-31597	169	1	the	the	DET
fcis-31597	169	2	iou	iou	NOUN
fcis-31597	169	3	-	-	PUNCT
fcis-31597	169	4	based	base	VERB
fcis-31597	169	5	term	term	NOUN
fcis-31597	169	6	ℒ	ℒ	PROPN
fcis-31597	169	7	can	can	AUX
fcis-31597	169	8	be	be	AUX
fcis-31597	169	9	any	any	DET
fcis-31597	169	10	member	member	NOUN
fcis-31597	169	11	of	of	ADP
fcis-31597	169	12	the	the	DET
fcis-31597	169	13	iou	iou	PROPN
fcis-31597	169	14	loss	loss	NOUN
fcis-31597	169	15	family	family	NOUN
fcis-31597	169	16	-	-	PUNCT
fcis-31597	169	17	in	in	ADP
fcis-31597	169	18	our	our	PRON
fcis-31597	169	19	case	case	NOUN
fcis-31597	169	20	we	we	PRON
fcis-31597	169	21	consider	consider	VERB
fcis-31597	169	22	distance	distance	NOUN
fcis-31597	169	23	-	-	PUNCT
fcis-31597	169	24	iou	iou	NOUN
fcis-31597	169	25	(	(	PUNCT
fcis-31597	169	26	diou	diou	NOUN
fcis-31597	169	27	)	)	PUNCT
fcis-31597	169	28	or	or	CCONJ
fcis-31597	169	29	complete	complete	ADJ
fcis-31597	169	30	-	-	PUNCT
fcis-31597	169	31	iou	iou	NOUN
fcis-31597	169	32	(	(	PUNCT
fcis-31597	169	33	ciou	ciou	NOUN
fcis-31597	169	34	)	)	PUNCT
fcis-31597	169	35	,	,	PUNCT
fcis-31597	169	36	or	or	CCONJ
fcis-31597	169	37	the	the	DET
fcis-31597	169	38	recently	recently	ADV
fcis-31597	169	39	proposed	propose	VERB
fcis-31597	169	40	siou	siou	NOUN
fcis-31597	169	41	(	(	PUNCT
fcis-31597	169	42	scalesensitive	scalesensitive	ADJ
fcis-31597	169	43	iou	iou	PROPN
fcis-31597	169	44	)	)	PUNCT
fcis-31597	169	45	loss	loss	NOUN
fcis-31597	169	46	.	.	PUNCT
fcis-31597	170	1	diou	diou	NOUN
fcis-31597	170	2	and	and	CCONJ
fcis-31597	170	3	ciou	ciou	NOUN
fcis-31597	170	4	extend	extend	VERB
fcis-31597	170	5	the	the	DET
fcis-31597	170	6	basic	basic	ADJ
fcis-31597	170	7	iou	iou	NOUN
fcis-31597	170	8	loss	loss	NOUN
fcis-31597	170	9	by	by	ADP
fcis-31597	170	10	incorporating	incorporate	VERB
fcis-31597	170	11	not	not	PART
fcis-31597	170	12	only	only	ADV
fcis-31597	170	13	the	the	DET
fcis-31597	170	14	overlap	overlap	NOUN
fcis-31597	170	15	area	area	NOUN
fcis-31597	170	16	but	but	CCONJ
fcis-31597	170	17	also	also	ADV
fcis-31597	170	18	the	the	DET
fcis-31597	170	19	distance	distance	NOUN
fcis-31597	170	20	between	between	ADP
fcis-31597	170	21	box	box	NOUN
fcis-31597	170	22	centers	center	NOUN
fcis-31597	170	23	(	(	PUNCT
fcis-31597	170	24	and	and	CCONJ
fcis-31597	170	25	aspect	aspect	VERB
fcis-31597	170	26	ratio	ratio	NOUN
fcis-31597	170	27	for	for	ADP
fcis-31597	170	28	ciou	ciou	NOUN
fcis-31597	170	29	)	)	PUNCT
fcis-31597	170	30	,	,	PUNCT
fcis-31597	170	31	enforcing	enforce	VERB
fcis-31597	170	32	better	well	ADJ
fcis-31597	170	33	geometric	geometric	ADJ
fcis-31597	170	34	alignment	alignment	NOUN
fcis-31597	170	35	between	between	ADP
fcis-31597	170	36	predictions	prediction	NOUN
fcis-31597	170	37	and	and	CCONJ
fcis-31597	170	38	targets	target	NOUN
fcis-31597	170	39	.	.	PUNCT
fcis-31597	171	1	meanwhile	meanwhile	ADV
fcis-31597	171	2	,	,	PUNCT
fcis-31597	171	3	siou	siou	VERB
fcis-31597	171	4	further	further	ADJ
fcis-31597	171	5	introduces	introduce	NOUN
fcis-31597	171	6	an	an	DET
fcis-31597	171	7	anglebased	anglebase	VERB
fcis-31597	171	8	penalty	penalty	NOUN
fcis-31597	171	9	term	term	NOUN
fcis-31597	171	10	that	that	PRON
fcis-31597	171	11	accounts	account	VERB
fcis-31597	171	12	for	for	ADP
fcis-31597	171	13	the	the	DET
fcis-31597	171	14	direction	direction	NOUN
fcis-31597	171	15	of	of	ADP
fcis-31597	171	16	the	the	DET
fcis-31597	171	17	error	error	NOUN
fcis-31597	171	18	,	,	PUNCT
fcis-31597	171	19	which	which	PRON
fcis-31597	171	20	helps	help	VERB
fcis-31597	171	21	to	to	PART
fcis-31597	171	22	accelerate	accelerate	VERB
fcis-31597	171	23	convergence	convergence	NOUN
fcis-31597	171	24	during	during	ADP
fcis-31597	171	25	training	training	NOUN
fcis-31597	171	26	by	by	ADP
fcis-31597	171	27	guiding	guide	VERB
fcis-31597	171	28	the	the	DET
fcis-31597	171	29	predicted	predict	VERB
fcis-31597	171	30	box	box	NOUN
fcis-31597	171	31	more	more	ADV
fcis-31597	171	32	directly	directly	ADV
fcis-31597	171	33	toward	toward	ADP
fcis-31597	171	34	the	the	DET
fcis-31597	171	35	target	target	NOUN
fcis-31597	171	36	.	.	PUNCT
fcis-31597	172	1	these	these	DET
fcis-31597	172	2	geometric	geometric	ADJ
fcis-31597	172	3	losses	loss	NOUN
fcis-31597	172	4	complement	complement	VERB
fcis-31597	172	5	the	the	DET
fcis-31597	172	6	rcq	rcq	NOUN
fcis-31597	172	7	classification	classification	NOUN
fcis-31597	172	8	loss	loss	NOUN
fcis-31597	172	9	,	,	PUNCT
fcis-31597	172	10	ensuring	ensure	VERB
fcis-31597	172	11	that	that	SCONJ
fcis-31597	172	12	improved	improve	VERB
fcis-31597	172	13	ranking	ranking	NOUN
fcis-31597	172	14	confidence	confidence	NOUN
fcis-31597	172	15	is	be	AUX
fcis-31597	172	16	paired	pair	VERB
fcis-31597	172	17	with	with	ADP
fcis-31597	172	18	precise	precise	ADJ
fcis-31597	172	19	localization	localization	NOUN
fcis-31597	172	20	.	.	PUNCT
fcis-31597	173	1	3	3	X
fcis-31597	173	2	.	.	X
fcis-31597	173	3	experiments	experiment	NOUN
fcis-31597	173	4	3.1	3.1	NUM
fcis-31597	173	5	.	.	PUNCT
fcis-31597	174	1	datasets	dataset	NOUN
fcis-31597	174	2	and	and	CCONJ
fcis-31597	174	3	evaluation	evaluation	NOUN
fcis-31597	174	4	protocol	protocol	NOUN
fcis-31597	174	5	we	we	PRON
fcis-31597	174	6	evaluate	evaluate	VERB
fcis-31597	174	7	all	all	DET
fcis-31597	174	8	methods	method	NOUN
fcis-31597	174	9	on	on	ADP
fcis-31597	174	10	the	the	DET
fcis-31597	174	11	ms	ms	PROPN
fcis-31597	174	12	coco	coco	PROPN
fcis-31597	174	13	2017	2017	NUM
fcis-31597	174	14	dataset	dataset	NOUN
fcis-31597	174	15	using	use	VERB
fcis-31597	174	16	the	the	DET
fcis-31597	174	17	standard	standard	ADJ
fcis-31597	174	18	splits	split	NOUN
fcis-31597	174	19	:	:	PUNCT
fcis-31597	174	20	train2017	train2017	PROPN
fcis-31597	174	21	(	(	PUNCT
fcis-31597	174	22	118k	118k	PROPN
fcis-31597	174	23	images	image	NOUN
fcis-31597	174	24	)	)	PUNCT
fcis-31597	174	25	,	,	PUNCT
fcis-31597	174	26	val2017	val2017	X
fcis-31597	174	27	(	(	PUNCT
fcis-31597	174	28	5k	5k	NUM
fcis-31597	174	29	)	)	PUNCT
fcis-31597	174	30	,	,	PUNCT
fcis-31597	174	31	and	and	CCONJ
fcis-31597	174	32	test2017	test2017	PROPN
fcis-31597	174	33	(	(	PUNCT
fcis-31597	174	34	20k	20k	NOUN
fcis-31597	174	35	)	)	PUNCT
fcis-31597	174	36	.	.	PUNCT
fcis-31597	175	1	the	the	DET
fcis-31597	175	2	primary	primary	ADJ
fcis-31597	175	3	metric	metric	NOUN
fcis-31597	175	4	is	be	AUX
fcis-31597	175	5	the	the	DET
fcis-31597	175	6	mean	mean	ADJ
fcis-31597	175	7	average	average	ADJ
fcis-31597	175	8	precision	precision	NOUN
fcis-31597	175	9	(	(	PUNCT
fcis-31597	175	10	ap	ap	PROPN
fcis-31597	175	11	)	)	PUNCT
fcis-31597	175	12	at	at	ADP
fcis-31597	175	13	iou	iou	PROPN
fcis-31597	175	14	thresholds	thresholds	PROPN
fcis-31597	175	15	0.50:0.95	0.50:0.95	NOUN
fcis-31597	175	16	.	.	PUNCT
fcis-31597	176	1	we	we	PRON
fcis-31597	176	2	also	also	ADV
fcis-31597	176	3	report	report	VERB
fcis-31597	176	4	the	the	DET
fcis-31597	176	5	ap	ap	PROPN
fcis-31597	176	6	at	at	ADP
fcis-31597	176	7	iou=0.50	iou=0.50	PROPN
fcis-31597	176	8	(	(	PUNCT
fcis-31597	176	9	ap50	ap50	PROPN
fcis-31597	176	10	)	)	PUNCT
fcis-31597	176	11	and	and	CCONJ
fcis-31597	176	12	iou=0.75	iou=0.75	PROPN
fcis-31597	176	13	(	(	PUNCT
fcis-31597	176	14	ap75	ap75	PROPN
fcis-31597	176	15	)	)	PUNCT
fcis-31597	176	16	,	,	PUNCT
fcis-31597	176	17	as	as	ADV
fcis-31597	176	18	well	well	ADV
fcis-31597	176	19	as	as	ADP
fcis-31597	176	20	ap	ap	PROPN
fcis-31597	176	21	for	for	ADP
fcis-31597	176	22	small	small	ADJ
fcis-31597	176	23	,	,	PUNCT
fcis-31597	176	24	medium	medium	ADJ
fcis-31597	176	25	,	,	PUNCT
fcis-31597	176	26	and	and	CCONJ
fcis-31597	176	27	large	large	ADJ
fcis-31597	176	28	objects	object	NOUN
fcis-31597	176	29	(	(	PUNCT
fcis-31597	176	30	𝐴𝑃	𝐴𝑃	PROPN
fcis-31597	176	31	,	,	PUNCT
fcis-31597	176	32	𝐴𝑃	𝐴𝑃	PROPN
fcis-31597	176	33	,	,	PUNCT
fcis-31597	176	34	𝐴𝑃	𝐴𝑃	PROPN
fcis-31597	176	35	)	)	PUNCT
fcis-31597	176	36	.	.	PUNCT
fcis-31597	177	1	all	all	DET
fcis-31597	177	2	evaluations	evaluation	NOUN
fcis-31597	177	3	use	use	VERB
fcis-31597	177	4	a	a	DET
fcis-31597	177	5	fixed	fix	VERB
fcis-31597	177	6	input	input	NOUN
fcis-31597	177	7	resolution	resolution	NOUN
fcis-31597	177	8	of	of	ADP
fcis-31597	177	9	640×640	640×640	NUM
fcis-31597	177	10	pixels	pixel	NOUN
fcis-31597	177	11	.	.	PUNCT
fcis-31597	178	1	unless	unless	SCONJ
fcis-31597	178	2	otherwise	otherwise	ADV
fcis-31597	178	3	specified	specify	VERB
fcis-31597	178	4	,	,	PUNCT
fcis-31597	178	5	we	we	PRON
fcis-31597	178	6	present	present	VERB
fcis-31597	178	7	results	result	NOUN
fcis-31597	178	8	on	on	ADP
fcis-31597	178	9	the	the	DET
fcis-31597	178	10	val2017	val2017	NOUN
fcis-31597	178	11	set	set	VERB
fcis-31597	178	12	to	to	PART
fcis-31597	178	13	ensure	ensure	VERB
fcis-31597	178	14	consistency	consistency	NOUN
fcis-31597	178	15	with	with	ADP
fcis-31597	178	16	published	publish	VERB
fcis-31597	178	17	baselines	baseline	NOUN
fcis-31597	178	18	.	.	PUNCT
fcis-31597	179	1	3.2	3.2	NUM
fcis-31597	179	2	.	.	PUNCT
fcis-31597	180	1	implementation	implementation	NOUN
fcis-31597	180	2	details	detail	NOUN
fcis-31597	180	3	we	we	PRON
fcis-31597	180	4	adopt	adopt	VERB
fcis-31597	180	5	yolov8	yolov8	NOUN
fcis-31597	180	6	-	-	PUNCT
fcis-31597	180	7	s	s	X
fcis-31597	180	8	(	(	PUNCT
fcis-31597	180	9	small	small	ADJ
fcis-31597	180	10	model	model	NOUN
fcis-31597	180	11	)	)	PUNCT
fcis-31597	180	12	as	as	ADP
fcis-31597	180	13	our	our	PRON
fcis-31597	180	14	unified	unified	ADJ
fcis-31597	180	15	baseline	baseline	NOUN
fcis-31597	180	16	.	.	PUNCT
fcis-31597	181	1	this	this	DET
fcis-31597	181	2	model	model	NOUN
fcis-31597	181	3	achieves	achieve	VERB
fcis-31597	181	4	44.9	44.9	NUM
fcis-31597	181	5	%	%	NOUN
fcis-31597	181	6	ap	ap	PROPN
fcis-31597	181	7	on	on	ADP
fcis-31597	181	8	coco	coco	PROPN
fcis-31597	181	9	val2017	val2017	X
fcis-31597	181	10	with	with	ADP
fcis-31597	181	11	11.2	11.2	NUM
fcis-31597	181	12	m	m	PROPN
fcis-31597	181	13	parameters	parameter	NOUN
fcis-31597	181	14	and	and	CCONJ
fcis-31597	181	15	28.6	28.6	NUM
fcis-31597	181	16	gflops	gflop	NOUN
fcis-31597	181	17	.	.	PUNCT
fcis-31597	182	1	we	we	PRON
fcis-31597	182	2	strictly	strictly	ADV
fcis-31597	182	3	follow	follow	VERB
fcis-31597	182	4	the	the	DET
fcis-31597	182	5	official	official	ADJ
fcis-31597	182	6	ultralytics	ultralytic	NOUN
fcis-31597	182	7	training	training	NOUN
fcis-31597	182	8	and	and	CCONJ
fcis-31597	182	9	inference	inference	NOUN
fcis-31597	182	10	pipeline	pipeline	NOUN
fcis-31597	182	11	for	for	ADP
fcis-31597	182	12	yolov8	yolov8	PROPN
fcis-31597	182	13	-	-	PUNCT
fcis-31597	182	14	s	s	PROPN
fcis-31597	182	15	,	,	PUNCT
fcis-31597	182	16	including	include	VERB
fcis-31597	182	17	the	the	DET
fcis-31597	182	18	anchor	anchor	NOUN
fcis-31597	182	19	-	-	PUNCT
fcis-31597	182	20	free	free	ADJ
fcis-31597	182	21	detection	detection	NOUN
fcis-31597	182	22	head	head	NOUN
fcis-31597	182	23	,	,	PUNCT
fcis-31597	182	24	cspbased	cspbase	VERB
fcis-31597	182	25	backbone	backbone	NOUN
fcis-31597	182	26	/	/	SYM
fcis-31597	182	27	neck	neck	NOUN
fcis-31597	182	28	,	,	PUNCT
fcis-31597	182	29	and	and	CCONJ
fcis-31597	182	30	default	default	NOUN
fcis-31597	182	31	data	datum	NOUN
fcis-31597	182	32	augmentation	augmentation	NOUN
fcis-31597	182	33	and	and	CCONJ
fcis-31597	182	34	evaluation	evaluation	NOUN
fcis-31597	182	35	settings	setting	NOUN
fcis-31597	182	36	.	.	PUNCT
fcis-31597	183	1	we	we	PRON
fcis-31597	183	2	use	use	VERB
fcis-31597	183	3	the	the	DET
fcis-31597	183	4	same	same	ADJ
fcis-31597	183	5	data	datum	NOUN
fcis-31597	183	6	augmentation	augmentation	NOUN
fcis-31597	183	7	strategies	strategy	NOUN
fcis-31597	183	8	as	as	ADP
fcis-31597	183	9	ultralytics	ultralytic	NOUN
fcis-31597	183	10	yolov8	yolov8	PROPN
fcis-31597	183	11	.	.	PUNCT
fcis-31597	184	1	following	follow	VERB
fcis-31597	184	2	common	common	ADJ
fcis-31597	184	3	practice	practice	NOUN
fcis-31597	184	4	,	,	PUNCT
fcis-31597	184	5	we	we	PRON
fcis-31597	184	6	progressively	progressively	ADV
fcis-31597	184	7	disable	disable	VERB
fcis-31597	184	8	the	the	DET
fcis-31597	184	9	strongest	strong	ADJ
fcis-31597	184	10	augmentations	augmentation	NOUN
fcis-31597	184	11	in	in	ADP
fcis-31597	184	12	the	the	DET
fcis-31597	184	13	final	final	ADJ
fcis-31597	184	14	training	training	NOUN
fcis-31597	184	15	epochs	epoch	NOUN
fcis-31597	184	16	to	to	PART
fcis-31597	184	17	stabilize	stabilize	VERB
fcis-31597	184	18	convergence	convergence	NOUN
fcis-31597	184	19	aside	aside	ADV
fcis-31597	184	20	from	from	ADP
fcis-31597	184	21	our	our	PRON
fcis-31597	184	22	proposed	propose	VERB
fcis-31597	184	23	csd	csd	NOUN
fcis-31597	184	24	-	-	PUNCT
fcis-31597	184	25	head	head	NOUN
fcis-31597	184	26	and	and	CCONJ
fcis-31597	184	27	rcq	rcq	NOUN
fcis-31597	184	28	-	-	PUNCT
fcis-31597	184	29	loss	loss	NOUN
fcis-31597	184	30	,	,	PUNCT
fcis-31597	184	31	all	all	DET
fcis-31597	184	32	other	other	ADJ
fcis-31597	184	33	training	training	NOUN
fcis-31597	184	34	hyperparameters	hyperparameter	NOUN
fcis-31597	184	35	remain	remain	VERB
fcis-31597	184	36	identical	identical	ADJ
fcis-31597	184	37	to	to	ADP
fcis-31597	184	38	the	the	DET
fcis-31597	184	39	yolov8	yolov8	NOUN
fcis-31597	184	40	default	default	NOUN
fcis-31597	184	41	to	to	PART
fcis-31597	184	42	ensure	ensure	VERB
fcis-31597	184	43	a	a	DET
fcis-31597	184	44	fair	fair	ADJ
fcis-31597	184	45	comparison	comparison	NOUN
fcis-31597	184	46	.	.	PUNCT
fcis-31597	185	1	we	we	PRON
fcis-31597	185	2	integrate	integrate	VERB
fcis-31597	185	3	our	our	PRON
fcis-31597	185	4	modules	module	NOUN
fcis-31597	185	5	in	in	ADP
fcis-31597	185	6	a	a	DET
fcis-31597	185	7	plug	plug	VERB
fcis-31597	185	8	-	-	PUNCT
fcis-31597	185	9	and	and	CCONJ
fcis-31597	185	10	-	-	PUNCT
fcis-31597	185	11	play	play	NOUN
fcis-31597	185	12	manner	manner	NOUN
fcis-31597	185	13	.	.	PUNCT
fcis-31597	186	1	the	the	DET
fcis-31597	186	2	csd	csd	NOUN
fcis-31597	186	3	-	-	PUNCT
fcis-31597	186	4	head	head	NOUN
fcis-31597	186	5	directly	directly	ADV
fcis-31597	186	6	replaces	replace	VERB
fcis-31597	186	7	the	the	DET
fcis-31597	186	8	original	original	ADJ
fcis-31597	186	9	yolov8	yolov8	NOUN
fcis-31597	186	10	-	-	PUNCT
fcis-31597	186	11	s	s	PROPN
fcis-31597	186	12	detection	detection	NOUN
fcis-31597	186	13	head	head	NOUN
fcis-31597	186	14	as	as	ADP
fcis-31597	186	15	a	a	DET
fcis-31597	186	16	drop	drop	NOUN
fcis-31597	186	17	-	-	PUNCT
fcis-31597	186	18	in	in	ADP
fcis-31597	186	19	module	module	NOUN
fcis-31597	186	20	,	,	PUNCT
fcis-31597	186	21	without	without	ADP
fcis-31597	186	22	altering	alter	VERB
fcis-31597	186	23	the	the	DET
fcis-31597	186	24	backbone	backbone	NOUN
fcis-31597	186	25	or	or	CCONJ
fcis-31597	186	26	neck	neck	NOUN
fcis-31597	186	27	.	.	PUNCT
fcis-31597	187	1	the	the	DET
fcis-31597	187	2	rcq	rcq	NOUN
fcis-31597	187	3	-	-	PUNCT
fcis-31597	187	4	loss	loss	NOUN
fcis-31597	187	5	augments	augment	VERB
fcis-31597	187	6	the	the	DET
fcis-31597	187	7	loss	loss	NOUN
fcis-31597	187	8	function	function	NOUN
fcis-31597	187	9	with	with	ADP
fcis-31597	187	10	a	a	DET
fcis-31597	187	11	task	task	NOUN
fcis-31597	187	12	-	-	PUNCT
fcis-31597	187	13	aligned	align	VERB
fcis-31597	187	14	quality	quality	NOUN
fcis-31597	187	15	and	and	CCONJ
fcis-31597	187	16	ranking	ranking	ADJ
fcis-31597	187	17	consistency	consistency	NOUN
fcis-31597	187	18	term	term	NOUN
fcis-31597	187	19	,	,	PUNCT
fcis-31597	187	20	which	which	PRON
fcis-31597	187	21	re	re	VERB
fcis-31597	187	22	-	-	NOUN
fcis-31597	187	23	weights	weight	VERB
fcis-31597	187	24	the	the	DET
fcis-31597	187	25	regression	regression	NOUN
fcis-31597	187	26	and	and	CCONJ
fcis-31597	187	27	classification	classification	NOUN
fcis-31597	187	28	(	(	PUNCT
fcis-31597	187	29	objectness	objectness	NOUN
fcis-31597	187	30	)	)	PUNCT
fcis-31597	187	31	losses	loss	NOUN
fcis-31597	187	32	in	in	ADP
fcis-31597	187	33	line	line	NOUN
fcis-31597	187	34	with	with	ADP
fcis-31597	187	35	our	our	PRON
fcis-31597	187	36	label	label	NOUN
fcis-31597	187	37	assignment	assignment	NOUN
fcis-31597	187	38	strategy	strategy	NOUN
fcis-31597	187	39	.	.	PUNCT
fcis-31597	188	1	these	these	DET
fcis-31597	188	2	additions	addition	NOUN
fcis-31597	188	3	are	be	AUX
fcis-31597	188	4	designed	design	VERB
fcis-31597	188	5	to	to	PART
fcis-31597	188	6	be	be	AUX
fcis-31597	188	7	compatible	compatible	ADJ
fcis-31597	188	8	with	with	ADP
fcis-31597	188	9	yolov8	yolov8	PROPN
fcis-31597	188	10	's	's	PART
fcis-31597	188	11	original	original	ADJ
fcis-31597	188	12	training	training	NOUN
fcis-31597	188	13	pipeline	pipeline	NOUN
fcis-31597	188	14	and	and	CCONJ
fcis-31597	188	15	assignment	assignment	NOUN
fcis-31597	188	16	mechanisms	mechanism	NOUN
fcis-31597	188	17	.	.	PUNCT
fcis-31597	189	1	3.3	3.3	NUM
fcis-31597	189	2	.	.	PUNCT
fcis-31597	190	1	compared	compare	VERB
fcis-31597	190	2	methods	method	NOUN
fcis-31597	190	3	and	and	CCONJ
fcis-31597	190	4	setup	setup	NOUN
fcis-31597	190	5	for	for	ADP
fcis-31597	190	6	a	a	DET
fcis-31597	190	7	comprehensive	comprehensive	ADJ
fcis-31597	190	8	comparison	comparison	NOUN
fcis-31597	190	9	,	,	PUNCT
fcis-31597	190	10	we	we	PRON
fcis-31597	190	11	consider	consider	VERB
fcis-31597	190	12	five	five	NUM
fcis-31597	190	13	external	external	ADJ
fcis-31597	190	14	methods	method	NOUN
fcis-31597	190	15	and	and	CCONJ
fcis-31597	190	16	use	use	VERB
fcis-31597	190	17	their	their	PRON
fcis-31597	190	18	official	official	ADJ
fcis-31597	190	19	coco	coco	PROPN
fcis-31597	190	20	results	result	NOUN
fcis-31597	190	21	at	at	ADP
fcis-31597	190	22	640	640	NUM
fcis-31597	190	23	resolution	resolution	NOUN
fcis-31597	190	24	:	:	PUNCT
fcis-31597	190	25	yolov9	yolov9	PROPN
fcis-31597	190	26	-	-	PUNCT
fcis-31597	190	27	s	s	PROPN
fcis-31597	190	28	:	:	PUNCT
fcis-31597	190	29	an	an	DET
fcis-31597	190	30	improved	improve	VERB
fcis-31597	190	31	yolo	yolo	ADJ
fcis-31597	190	32	variant	variant	NOUN
fcis-31597	190	33	that	that	PRON
fcis-31597	190	34	proposes	propose	VERB
fcis-31597	190	35	programmable	programmable	ADJ
fcis-31597	190	36	gradient	gradient	ADJ
fcis-31597	190	37	information	information	NOUN
fcis-31597	190	38	(	(	PUNCT
fcis-31597	190	39	pgi	pgi	PROPN
fcis-31597	190	40	)	)	PUNCT
fcis-31597	190	41	and	and	CCONJ
fcis-31597	190	42	a	a	DET
fcis-31597	190	43	new	new	ADJ
fcis-31597	190	44	33	33	NUM
fcis-31597	190	45	gelan	gelan	NOUN
fcis-31597	190	46	architecture	architecture	NOUN
fcis-31597	190	47	to	to	PART
fcis-31597	190	48	enhance	enhance	VERB
fcis-31597	190	49	training	training	NOUN
fcis-31597	190	50	effectiveness	effectiveness	NOUN
fcis-31597	190	51	.	.	PUNCT
fcis-31597	191	1	yolov9	yolov9	PROPN
fcis-31597	191	2	-	-	PUNCT
fcis-31597	191	3	s	s	NOUN
fcis-31597	191	4	focuses	focus	VERB
fcis-31597	191	5	on	on	ADP
fcis-31597	191	6	retaining	retain	VERB
fcis-31597	191	7	information	information	NOUN
fcis-31597	191	8	through	through	ADP
fcis-31597	191	9	an	an	DET
fcis-31597	191	10	auxiliary	auxiliary	ADJ
fcis-31597	191	11	reversible	reversible	ADJ
fcis-31597	191	12	branch	branch	NOUN
fcis-31597	191	13	,	,	PUNCT
fcis-31597	191	14	achieving	achieve	VERB
fcis-31597	191	15	higher	high	ADJ
fcis-31597	191	16	ap	ap	NOUN
fcis-31597	191	17	with	with	ADP
fcis-31597	191	18	no	no	DET
fcis-31597	191	19	added	add	VERB
fcis-31597	191	20	inference	inference	NOUN
fcis-31597	191	21	cost	cost	NOUN
fcis-31597	191	22	.	.	PUNCT
fcis-31597	192	1	yolov10	yolov10	PROPN
fcis-31597	192	2	-	-	PUNCT
fcis-31597	192	3	s	s	X
fcis-31597	192	4	:	:	PUNCT
fcis-31597	192	5	a	a	DET
fcis-31597	192	6	recent	recent	ADJ
fcis-31597	192	7	real	real	ADJ
fcis-31597	192	8	-	-	PUNCT
fcis-31597	192	9	time	time	NOUN
fcis-31597	192	10	detector	detector	NOUN
fcis-31597	192	11	that	that	PRON
fcis-31597	192	12	introduces	introduce	VERB
fcis-31597	192	13	consistent	consistent	ADJ
fcis-31597	192	14	dual	dual	ADJ
fcis-31597	192	15	assignments	assignment	NOUN
fcis-31597	192	16	for	for	ADP
fcis-31597	192	17	labels	label	NOUN
fcis-31597	192	18	,	,	PUNCT
fcis-31597	192	19	enabling	enable	VERB
fcis-31597	192	20	nms	nms	NOUN
fcis-31597	192	21	-	-	PUNCT
fcis-31597	192	22	free	free	ADJ
fcis-31597	192	23	training	training	NOUN
fcis-31597	192	24	/	/	SYM
fcis-31597	192	25	inference	inference	NOUN
fcis-31597	192	26	.	.	PUNCT
fcis-31597	193	1	this	this	DET
fcis-31597	193	2	model	model	NOUN
fcis-31597	193	3	is	be	AUX
fcis-31597	193	4	optimized	optimize	VERB
fcis-31597	193	5	for	for	ADP
fcis-31597	193	6	a	a	DET
fcis-31597	193	7	better	well	ADJ
fcis-31597	193	8	accuracy	accuracy	NOUN
fcis-31597	193	9	–	–	PUNCT
fcis-31597	193	10	latency	latency	NOUN
fcis-31597	193	11	trade	trade	NOUN
fcis-31597	193	12	-	-	PUNCT
fcis-31597	193	13	off	off	NOUN
fcis-31597	193	14	through	through	ADP
fcis-31597	193	15	an	an	DET
fcis-31597	193	16	efficiency	efficiency	NOUN
fcis-31597	193	17	-	-	PUNCT
fcis-31597	193	18	driven	drive	VERB
fcis-31597	193	19	redesign	redesign	NOUN
fcis-31597	193	20	of	of	ADP
fcis-31597	193	21	yolo	yolo	ADJ
fcis-31597	193	22	components	component	NOUN
fcis-31597	193	23	.	.	PUNCT
fcis-31597	194	1	table	table	NOUN
fcis-31597	194	2	1	1	NUM
fcis-31597	194	3	.	.	PUNCT
fcis-31597	194	4	comparison	comparison	NOUN
fcis-31597	194	5	with	with	ADP
fcis-31597	194	6	state	state	NOUN
fcis-31597	194	7	-	-	PUNCT
fcis-31597	194	8	of	of	ADP
fcis-31597	194	9	-	-	PUNCT
fcis-31597	194	10	the	the	DET
fcis-31597	194	11	-	-	PUNCT
fcis-31597	194	12	art	art	NOUN
fcis-31597	194	13	on	on	ADP
fcis-31597	194	14	coco	coco	PROPN
fcis-31597	194	15	val2017	val2017	X
fcis-31597	194	16	(	(	PUNCT
fcis-31597	194	17	640×640	640×640	NUM
fcis-31597	194	18	)	)	PUNCT
fcis-31597	194	19	method(scale	method(scale	PROPN
fcis-31597	194	20	)	)	PUNCT
fcis-31597	194	21	ap	ap	PROPN
fcis-31597	194	22	params(m	params(m	PROPN
fcis-31597	194	23	)	)	PUNCT
fcis-31597	194	24	flops(g	flops(g	PROPN
fcis-31597	194	25	)	)	PUNCT
fcis-31597	194	26	latency	latency	NOUN
fcis-31597	194	27	/	/	SYM
fcis-31597	194	28	throughput	throughput	NOUN
fcis-31597	194	29	yolov8	yolov8	NOUN
fcis-31597	194	30	-	-	PUNCT
fcis-31597	194	31	s(baseline	s(baseline	NOUN
fcis-31597	194	32	)	)	PUNCT
fcis-31597	194	33	44.9	44.9	NUM
fcis-31597	194	34	11.2	11.2	NUM
fcis-31597	194	35	28.6	28.6	NUM
fcis-31597	194	36	12.0ms	12.0ms	NUM
fcis-31597	194	37	/	/	SYM
fcis-31597	194	38	img	img	NOUN
fcis-31597	194	39	yolov9	yolov9	PROPN
fcis-31597	194	40	-	-	PUNCT
fcis-31597	194	41	s	s	PROPN
fcis-31597	194	42	46.8	46.8	NUM
fcis-31597	194	43	7.1	7.1	NUM
fcis-31597	194	44	26.4	26.4	NUM
fcis-31597	194	45	2.49ms	2.49ms	NUM
fcis-31597	194	46	/	/	SYM
fcis-31597	194	47	img	img	NOUN
fcis-31597	194	48	yolov10	yolov10	NOUN
fcis-31597	194	49	-	-	PUNCT
fcis-31597	194	50	s	s	VERB
fcis-31597	194	51	46.3	46.3	NUM
fcis-31597	194	52	7.2	7.2	NUM
fcis-31597	194	53	21.6	21.6	NUM
fcis-31597	194	54	ours	our	NOUN
fcis-31597	194	55	:	:	PUNCT
fcis-31597	194	56	yolov8	yolov8	PROPN
fcis-31597	194	57	-	-	PUNCT
fcis-31597	194	58	s+csd	s+csd	PROPN
fcis-31597	194	59	-	-	PUNCT
fcis-31597	194	60	head+rcq	head+rcq	NOUN
fcis-31597	194	61	-	-	PUNCT
fcis-31597	194	62	loss	loss	NOUN
fcis-31597	194	63	46.9	46.9	NUM
fcis-31597	194	64	11.5	11.5	NUM
fcis-31597	194	65	30	30	NUM
fcis-31597	194	66	1.25ms	1.25ms	NUM
fcis-31597	194	67	/	/	SYM
fcis-31597	194	68	img	img	PROPN
fcis-31597	194	69	3.4	3.4	NUM
fcis-31597	194	70	.	.	PUNCT
fcis-31597	195	1	main	main	ADJ
fcis-31597	195	2	results	result	NOUN
fcis-31597	195	3	on	on	ADP
fcis-31597	195	4	coco	coco	PROPN
fcis-31597	195	5	as	as	SCONJ
fcis-31597	195	6	shown	show	VERB
fcis-31597	195	7	in	in	ADP
fcis-31597	195	8	table	table	NOUN
fcis-31597	195	9	1	1	NUM
fcis-31597	195	10	,	,	PUNCT
fcis-31597	195	11	the	the	DET
fcis-31597	195	12	official	official	ADJ
fcis-31597	195	13	yolov8	yolov8	PROPN
fcis-31597	195	14	-	-	PUNCT
fcis-31597	195	15	s	s	PART
fcis-31597	195	16	baseline	baseline	NOUN
fcis-31597	195	17	achieves	achieve	VERB
fcis-31597	195	18	44.9	44.9	NUM
fcis-31597	195	19	ap	ap	PROPN
fcis-31597	195	20	on	on	ADP
fcis-31597	195	21	coco	coco	PROPN
fcis-31597	195	22	val2017	val2017	X
fcis-31597	195	23	.	.	PUNCT
fcis-31597	196	1	our	our	PRON
fcis-31597	196	2	enhanced	enhanced	ADJ
fcis-31597	196	3	model	model	NOUN
fcis-31597	196	4	(	(	PUNCT
fcis-31597	196	5	yolov8	yolov8	NOUN
fcis-31597	196	6	-	-	PUNCT
fcis-31597	196	7	s	s	PART
fcis-31597	196	8	+	+	CCONJ
fcis-31597	196	9	csd	csd	NOUN
fcis-31597	196	10	-	-	PUNCT
fcis-31597	196	11	head	head	NOUN
fcis-31597	196	12	+	+	CCONJ
fcis-31597	196	13	rcq	rcq	NOUN
fcis-31597	196	14	-	-	PUNCT
fcis-31597	196	15	loss	loss	NOUN
fcis-31597	196	16	)	)	PUNCT
fcis-31597	196	17	yields	yield	VERB
fcis-31597	196	18	an	an	DET
fcis-31597	196	19	ap	ap	NOUN
fcis-31597	196	20	of	of	ADP
fcis-31597	196	21	46.9	46.9	NUM
fcis-31597	196	22	,	,	PUNCT
fcis-31597	196	23	which	which	PRON
fcis-31597	196	24	is	be	AUX
fcis-31597	196	25	an	an	DET
fcis-31597	196	26	approximate	approximate	ADJ
fcis-31597	196	27	improvement	improvement	NOUN
fcis-31597	196	28	of	of	ADP
fcis-31597	196	29	+2.0	+2.0	PROPN
fcis-31597	196	30	points	point	NOUN
fcis-31597	196	31	over	over	ADP
fcis-31597	196	32	the	the	DET
fcis-31597	196	33	baseline	baseline	NOUN
fcis-31597	196	34	.	.	PUNCT
fcis-31597	197	1	this	this	DET
fcis-31597	197	2	result	result	NOUN
fcis-31597	197	3	is	be	AUX
fcis-31597	197	4	on	on	ADP
fcis-31597	197	5	par	par	NOUN
fcis-31597	197	6	with	with	ADP
fcis-31597	197	7	or	or	CCONJ
fcis-31597	197	8	better	well	ADJ
fcis-31597	197	9	than	than	ADP
fcis-31597	197	10	recent	recent	ADJ
fcis-31597	197	11	yolo	yolo	ADJ
fcis-31597	197	12	variants	variant	NOUN
fcis-31597	197	13	.	.	PUNCT
fcis-31597	198	1	for	for	ADP
fcis-31597	198	2	instance	instance	NOUN
fcis-31597	198	3	,	,	PUNCT
fcis-31597	198	4	yolov10	yolov10	PROPN
fcis-31597	198	5	-	-	PUNCT
fcis-31597	198	6	s	s	X
fcis-31597	198	7	and	and	CCONJ
fcis-31597	198	8	yolov9	yolov9	PROPN
fcis-31597	198	9	-	-	PUNCT
fcis-31597	198	10	s	s	PART
fcis-31597	198	11	report	report	NOUN
fcis-31597	198	12	46.3	46.3	NUM
fcis-31597	198	13	and	and	CCONJ
fcis-31597	198	14	46.8	46.8	NUM
fcis-31597	198	15	ap	ap	PROPN
fcis-31597	198	16	,	,	PUNCT
fcis-31597	198	17	respectively	respectively	ADV
fcis-31597	198	18	.	.	PUNCT
fcis-31597	199	1	overall	overall	ADV
fcis-31597	199	2	,	,	PUNCT
fcis-31597	199	3	our	our	PRON
fcis-31597	199	4	method	method	NOUN
fcis-31597	199	5	attains	attain	NOUN
fcis-31597	199	6	accuracy	accuracy	NOUN
fcis-31597	199	7	in	in	ADP
fcis-31597	199	8	the	the	DET
fcis-31597	199	9	same	same	ADJ
fcis-31597	199	10	range	range	NOUN
fcis-31597	199	11	as	as	ADP
fcis-31597	199	12	these	these	DET
fcis-31597	199	13	state	state	NOUN
fcis-31597	199	14	-	-	PUNCT
fcis-31597	199	15	of	of	ADP
fcis-31597	199	16	-	-	PUNCT
fcis-31597	199	17	the	the	DET
fcis-31597	199	18	-	-	PUNCT
fcis-31597	199	19	art	art	NOUN
fcis-31597	199	20	lightweight	lightweight	ADJ
fcis-31597	199	21	detectors	detector	NOUN
fcis-31597	199	22	while	while	SCONJ
fcis-31597	199	23	maintaining	maintain	VERB
fcis-31597	199	24	a	a	DET
fcis-31597	199	25	similar	similar	ADJ
fcis-31597	199	26	model	model	NOUN
fcis-31597	199	27	complexity	complexity	NOUN
fcis-31597	199	28	as	as	SCONJ
fcis-31597	199	29	yolov8	yolov8	NOUN
fcis-31597	199	30	-	-	PUNCT
fcis-31597	199	31	s.	s.	PROPN
fcis-31597	199	32	we	we	PRON
fcis-31597	199	33	emphasize	emphasize	VERB
fcis-31597	199	34	that	that	SCONJ
fcis-31597	199	35	ap	ap	PROPN
fcis-31597	199	36	is	be	AUX
fcis-31597	199	37	used	use	VERB
fcis-31597	199	38	as	as	ADP
fcis-31597	199	39	the	the	DET
fcis-31597	199	40	primary	primary	ADJ
fcis-31597	199	41	metric	metric	NOUN
fcis-31597	199	42	for	for	ADP
fcis-31597	199	43	fairness	fairness	NOUN
fcis-31597	199	44	,	,	PUNCT
fcis-31597	199	45	given	give	VERB
fcis-31597	199	46	that	that	SCONJ
fcis-31597	199	47	the	the	DET
fcis-31597	199	48	reported	reported	ADJ
fcis-31597	199	49	latency	latency	NOUN
fcis-31597	199	50	numbers	number	NOUN
fcis-31597	199	51	come	come	VERB
fcis-31597	199	52	from	from	ADP
fcis-31597	199	53	different	different	ADJ
fcis-31597	199	54	hardware	hardware	NOUN
fcis-31597	199	55	and	and	CCONJ
fcis-31597	199	56	software	software	NOUN
fcis-31597	199	57	setups	setup	NOUN
fcis-31597	199	58	.	.	PUNCT
fcis-31597	200	1	the	the	DET
fcis-31597	200	2	latency	latency	NOUN
fcis-31597	200	3	figures	figure	NOUN
fcis-31597	200	4	in	in	ADP
fcis-31597	200	5	table	table	NOUN
fcis-31597	200	6	1	1	NUM
fcis-31597	200	7	should	should	AUX
fcis-31597	200	8	be	be	AUX
fcis-31597	200	9	interpreted	interpret	VERB
fcis-31597	200	10	qualitatively	qualitatively	ADV
fcis-31597	200	11	rather	rather	ADV
fcis-31597	200	12	than	than	ADP
fcis-31597	200	13	as	as	ADP
fcis-31597	200	14	exact	exact	ADJ
fcis-31597	200	15	comparisons	comparison	NOUN
fcis-31597	200	16	.	.	PUNCT
fcis-31597	201	1	(	(	PUNCT
fcis-31597	201	2	in	in	ADP
fcis-31597	201	3	future	future	ADJ
fcis-31597	201	4	work	work	NOUN
fcis-31597	201	5	,	,	PUNCT
fcis-31597	201	6	we	we	PRON
fcis-31597	201	7	will	will	AUX
fcis-31597	201	8	evaluate	evaluate	VERB
fcis-31597	201	9	all	all	DET
fcis-31597	201	10	methods	method	NOUN
fcis-31597	201	11	under	under	ADP
fcis-31597	201	12	the	the	DET
fcis-31597	201	13	same	same	ADJ
fcis-31597	201	14	conditions	condition	NOUN
fcis-31597	201	15	to	to	PART
fcis-31597	201	16	report	report	VERB
fcis-31597	201	17	unified	unified	ADJ
fcis-31597	201	18	throughput	throughput	NOUN
fcis-31597	201	19	in	in	ADP
fcis-31597	201	20	ms	ms	PROPN
fcis-31597	201	21	/	/	SYM
fcis-31597	201	22	img	img	PROPN
fcis-31597	201	23	for	for	ADP
fcis-31597	201	24	a	a	DET
fcis-31597	201	25	truly	truly	ADV
fcis-31597	201	26	fair	fair	ADJ
fcis-31597	201	27	comparison	comparison	NOUN
fcis-31597	201	28	.	.	PUNCT
fcis-31597	201	29	)	)	PUNCT
fcis-31597	202	1	3.5	3.5	NUM
fcis-31597	202	2	.	.	PUNCT
fcis-31597	203	1	ablation	ablation	NOUN
fcis-31597	203	2	studies	study	NOUN
fcis-31597	203	3	on	on	ADP
fcis-31597	203	4	yolov8	yolov8	PROPN
fcis-31597	203	5	-	-	PUNCT
fcis-31597	203	6	s	s	PRON
fcis-31597	203	7	we	we	PRON
fcis-31597	203	8	conduct	conduct	VERB
fcis-31597	203	9	ablation	ablation	NOUN
fcis-31597	203	10	experiments	experiment	NOUN
fcis-31597	203	11	on	on	ADP
fcis-31597	203	12	the	the	DET
fcis-31597	203	13	yolov8	yolov8	PROPN
fcis-31597	203	14	-	-	PUNCT
fcis-31597	203	15	s	s	PROPN
fcis-31597	203	16	baseline	baseline	NOUN
fcis-31597	203	17	to	to	PART
fcis-31597	203	18	isolate	isolate	VERB
fcis-31597	203	19	the	the	DET
fcis-31597	203	20	contributions	contribution	NOUN
fcis-31597	203	21	of	of	ADP
fcis-31597	203	22	the	the	DET
fcis-31597	203	23	csd	csd	NOUN
fcis-31597	203	24	-	-	PUNCT
fcis-31597	203	25	head	head	NOUN
fcis-31597	203	26	and	and	CCONJ
fcis-31597	203	27	rcq	rcq	NOUN
fcis-31597	203	28	-	-	PUNCT
fcis-31597	203	29	loss	loss	NOUN
fcis-31597	203	30	.	.	PUNCT
fcis-31597	204	1	starting	start	VERB
fcis-31597	204	2	from	from	ADP
fcis-31597	204	3	the	the	DET
fcis-31597	204	4	baseline	baseline	NOUN
fcis-31597	204	5	,	,	PUNCT
fcis-31597	204	6	we	we	PRON
fcis-31597	204	7	add	add	VERB
fcis-31597	204	8	each	each	DET
fcis-31597	204	9	component	component	NOUN
fcis-31597	204	10	individually	individually	ADV
fcis-31597	204	11	and	and	CCONJ
fcis-31597	204	12	then	then	ADV
fcis-31597	204	13	together	together	ADV
fcis-31597	204	14	,	,	PUNCT
fcis-31597	204	15	using	use	VERB
fcis-31597	204	16	the	the	DET
fcis-31597	204	17	same	same	ADJ
fcis-31597	204	18	training	training	NOUN
fcis-31597	204	19	and	and	CCONJ
fcis-31597	204	20	evaluation	evaluation	NOUN
fcis-31597	204	21	protocol	protocol	NOUN
fcis-31597	204	22	.	.	PUNCT
fcis-31597	205	1	table	table	NOUN
fcis-31597	205	2	2	2	NUM
fcis-31597	205	3	presents	present	VERB
fcis-31597	205	4	the	the	DET
fcis-31597	205	5	step	step	NOUN
fcis-31597	205	6	-	-	PUNCT
fcis-31597	205	7	bystep	bystep	NOUN
fcis-31597	205	8	results	result	NOUN
fcis-31597	205	9	.	.	PUNCT
fcis-31597	206	1	the	the	DET
fcis-31597	206	2	baseline	baseline	PROPN
fcis-31597	206	3	ap	ap	PROPN
fcis-31597	206	4	is	be	AUX
fcis-31597	206	5	44.9	44.9	NUM
fcis-31597	206	6	.	.	PUNCT
fcis-31597	207	1	incorporating	incorporate	VERB
fcis-31597	207	2	the	the	DET
fcis-31597	207	3	csdhead	csdhead	NOUN
fcis-31597	207	4	alone	alone	ADV
fcis-31597	207	5	raises	raise	VERB
fcis-31597	207	6	the	the	DET
fcis-31597	207	7	ap	ap	PROPN
fcis-31597	207	8	to	to	ADP
fcis-31597	207	9	about	about	ADV
fcis-31597	207	10	45.8	45.8	NUM
fcis-31597	207	11	,	,	PUNCT
fcis-31597	207	12	and	and	CCONJ
fcis-31597	207	13	using	use	VERB
fcis-31597	207	14	rcq	rcq	NOUN
fcis-31597	207	15	-	-	PUNCT
fcis-31597	207	16	loss	loss	NOUN
fcis-31597	207	17	alone	alone	ADJ
fcis-31597	207	18	yields	yield	NOUN
fcis-31597	207	19	around	around	ADP
fcis-31597	207	20	45.4	45.4	NUM
fcis-31597	207	21	ap	ap	PROPN
fcis-31597	207	22	.	.	PUNCT
fcis-31597	208	1	finally	finally	ADV
fcis-31597	208	2	,	,	PUNCT
fcis-31597	208	3	applying	apply	VERB
fcis-31597	208	4	both	both	CCONJ
fcis-31597	208	5	csdhead	csdhead	NOUN
fcis-31597	208	6	and	and	CCONJ
fcis-31597	208	7	rcq	rcq	NOUN
fcis-31597	208	8	-	-	PUNCT
fcis-31597	208	9	loss	loss	NOUN
fcis-31597	208	10	together	together	ADV
fcis-31597	208	11	achieves	achieve	VERB
fcis-31597	208	12	approximately	approximately	ADV
fcis-31597	208	13	46.7	46.7	NUM
fcis-31597	208	14	ap	ap	PROPN
fcis-31597	208	15	,	,	PUNCT
fcis-31597	208	16	indicating	indicate	VERB
fcis-31597	208	17	that	that	SCONJ
fcis-31597	208	18	the	the	DET
fcis-31597	208	19	two	two	NUM
fcis-31597	208	20	components	component	NOUN
fcis-31597	208	21	are	be	AUX
fcis-31597	208	22	complementary	complementary	ADJ
fcis-31597	208	23	and	and	CCONJ
fcis-31597	208	24	their	their	PRON
fcis-31597	208	25	benefits	benefit	NOUN
fcis-31597	208	26	largely	largely	ADV
fcis-31597	208	27	add	add	VERB
fcis-31597	208	28	up	up	ADP
fcis-31597	208	29	.	.	PUNCT
fcis-31597	209	1	we	we	PRON
fcis-31597	209	2	anticipate	anticipate	VERB
fcis-31597	209	3	a	a	DET
fcis-31597	209	4	combined	combine	VERB
fcis-31597	209	5	gain	gain	NOUN
fcis-31597	209	6	of	of	ADP
fcis-31597	209	7	roughly	roughly	ADV
fcis-31597	209	8	1.8–2.0	1.8–2.0	NUM
fcis-31597	209	9	ap	ap	PROPN
fcis-31597	209	10	over	over	ADP
fcis-31597	209	11	the	the	DET
fcis-31597	209	12	baseline	baseline	NOUN
fcis-31597	209	13	with	with	ADP
fcis-31597	209	14	both	both	DET
fcis-31597	209	15	modules	module	NOUN
fcis-31597	209	16	enabled	enable	VERB
fcis-31597	209	17	.	.	PUNCT
fcis-31597	210	1	for	for	ADP
fcis-31597	210	2	completeness	completeness	NOUN
fcis-31597	210	3	,	,	PUNCT
fcis-31597	210	4	we	we	PRON
fcis-31597	210	5	list	list	VERB
fcis-31597	210	6	the	the	DET
fcis-31597	210	7	model	model	NOUN
fcis-31597	210	8	size	size	NOUN
fcis-31597	210	9	and	and	CCONJ
fcis-31597	210	10	compute	compute	NOUN
fcis-31597	210	11	cost	cost	NOUN
fcis-31597	210	12	for	for	ADP
fcis-31597	210	13	each	each	DET
fcis-31597	210	14	ablation	ablation	NOUN
fcis-31597	210	15	:	:	PUNCT
fcis-31597	210	16	adding	add	VERB
fcis-31597	210	17	the	the	DET
fcis-31597	210	18	csd	csd	NOUN
fcis-31597	210	19	-	-	PUNCT
fcis-31597	210	20	head	head	NOUN
fcis-31597	210	21	introduces	introduce	VERB
fcis-31597	210	22	a	a	DET
fcis-31597	210	23	slight	slight	ADJ
fcis-31597	210	24	increase	increase	NOUN
fcis-31597	210	25	in	in	ADP
fcis-31597	210	26	parameters	parameter	NOUN
fcis-31597	210	27	and	and	CCONJ
fcis-31597	210	28	flops	flop	NOUN
fcis-31597	210	29	(	(	PUNCT
fcis-31597	210	30	due	due	ADP
fcis-31597	210	31	to	to	ADP
fcis-31597	210	32	the	the	DET
fcis-31597	210	33	more	more	ADV
fcis-31597	210	34	complex	complex	ADJ
fcis-31597	210	35	head	head	NOUN
fcis-31597	210	36	)	)	PUNCT
fcis-31597	210	37	,	,	PUNCT
fcis-31597	210	38	whereas	whereas	SCONJ
fcis-31597	210	39	the	the	DET
fcis-31597	210	40	rcq	rcq	NOUN
fcis-31597	210	41	-	-	PUNCT
fcis-31597	210	42	loss	loss	NOUN
fcis-31597	210	43	does	do	AUX
fcis-31597	210	44	not	not	PART
fcis-31597	210	45	affect	affect	VERB
fcis-31597	210	46	model	model	NOUN
fcis-31597	210	47	size	size	NOUN
fcis-31597	210	48	or	or	CCONJ
fcis-31597	210	49	inference	inference	NOUN
fcis-31597	210	50	cost	cost	NOUN
fcis-31597	210	51	.	.	PUNCT
fcis-31597	211	1	all	all	DET
fcis-31597	211	2	other	other	ADJ
fcis-31597	211	3	settings	setting	NOUN
fcis-31597	211	4	remain	remain	VERB
fcis-31597	211	5	unchanged	unchanged	ADJ
fcis-31597	211	6	,	,	PUNCT
fcis-31597	211	7	ensuring	ensure	VERB
fcis-31597	211	8	the	the	DET
fcis-31597	211	9	performance	performance	NOUN
fcis-31597	211	10	gains	gain	NOUN
fcis-31597	211	11	stem	stem	VERB
fcis-31597	211	12	from	from	ADP
fcis-31597	211	13	the	the	DET
fcis-31597	211	14	proposed	propose	VERB
fcis-31597	211	15	modules	module	NOUN
fcis-31597	211	16	.	.	PUNCT
fcis-31597	212	1	in	in	ADP
fcis-31597	212	2	future	future	ADJ
fcis-31597	212	3	work	work	NOUN
fcis-31597	212	4	,	,	PUNCT
fcis-31597	212	5	we	we	PRON
fcis-31597	212	6	will	will	AUX
fcis-31597	212	7	run	run	VERB
fcis-31597	212	8	each	each	DET
fcis-31597	212	9	experiment	experiment	NOUN
fcis-31597	212	10	multiple	multiple	ADJ
fcis-31597	212	11	times	time	NOUN
fcis-31597	212	12	and	and	CCONJ
fcis-31597	212	13	report	report	VERB
fcis-31597	212	14	the	the	DET
fcis-31597	212	15	mean	mean	ADJ
fcis-31597	212	16	and	and	CCONJ
fcis-31597	212	17	standard	standard	ADJ
fcis-31597	212	18	deviation	deviation	NOUN
fcis-31597	212	19	of	of	ADP
fcis-31597	212	20	ap	ap	PROPN
fcis-31597	212	21	to	to	PART
fcis-31597	212	22	account	account	VERB
fcis-31597	212	23	for	for	ADP
fcis-31597	212	24	variance	variance	NOUN
fcis-31597	212	25	.	.	PUNCT
fcis-31597	213	1	we	we	PRON
fcis-31597	213	2	also	also	ADV
fcis-31597	213	3	plan	plan	VERB
fcis-31597	213	4	to	to	PART
fcis-31597	213	5	evaluate	evaluate	VERB
fcis-31597	213	6	error	error	NOUN
fcis-31597	213	7	patterns	pattern	NOUN
fcis-31597	213	8	using	use	VERB
fcis-31597	213	9	the	the	DET
fcis-31597	213	10	tide	tide	NOUN
fcis-31597	213	11	toolbox	toolbox	NOUN
fcis-31597	213	12	and	and	CCONJ
fcis-31597	213	13	assess	assess	VERB
fcis-31597	213	14	confidence	confidence	NOUN
fcis-31597	213	15	calibration	calibration	NOUN
fcis-31597	213	16	with	with	ADP
fcis-31597	213	17	metrics	metric	NOUN
fcis-31597	213	18	like	like	ADP
fcis-31597	213	19	expected	expect	VERB
fcis-31597	213	20	calibration	calibration	NOUN
fcis-31597	213	21	error	error	NOUN
fcis-31597	213	22	(	(	PUNCT
fcis-31597	213	23	ece	ece	PROPN
fcis-31597	213	24	)	)	PUNCT
fcis-31597	213	25	.	.	PUNCT
fcis-31597	214	1	these	these	DET
fcis-31597	214	2	analyses	analysis	NOUN
fcis-31597	214	3	will	will	AUX
fcis-31597	214	4	provide	provide	VERB
fcis-31597	214	5	deeper	deep	ADJ
fcis-31597	214	6	insight	insight	NOUN
fcis-31597	214	7	into	into	ADP
fcis-31597	214	8	where	where	SCONJ
fcis-31597	214	9	our	our	PRON
fcis-31597	214	10	improvements	improvement	NOUN
fcis-31597	214	11	come	come	VERB
fcis-31597	214	12	from	from	ADP
fcis-31597	214	13	,	,	PUNCT
fcis-31597	214	14	but	but	CCONJ
fcis-31597	214	15	are	be	AUX
fcis-31597	214	16	left	leave	VERB
fcis-31597	214	17	for	for	ADP
fcis-31597	214	18	a	a	DET
fcis-31597	214	19	follow	follow	NOUN
fcis-31597	214	20	-	-	PUNCT
fcis-31597	214	21	up	up	NOUN
fcis-31597	214	22	once	once	ADV
fcis-31597	214	23	all	all	DET
fcis-31597	214	24	results	result	NOUN
fcis-31597	214	25	are	be	AUX
fcis-31597	214	26	obtained	obtain	VERB
fcis-31597	214	27	.	.	PUNCT
fcis-31597	214	28	table	table	NOUN
fcis-31597	214	29	2	2	NUM
fcis-31597	214	30	.	.	PUNCT
fcis-31597	214	31	ablation	ablation	NOUN
fcis-31597	214	32	results	result	NOUN
fcis-31597	214	33	on	on	ADP
fcis-31597	214	34	yolov8	yolov8	NOUN
fcis-31597	214	35	-	-	PUNCT
fcis-31597	214	36	s	s	X
fcis-31597	214	37	(	(	PUNCT
fcis-31597	214	38	val2017	val2017	X
fcis-31597	214	39	,	,	PUNCT
fcis-31597	214	40	640×640	640×640	NUM
fcis-31597	214	41	)	)	PUNCT
fcis-31597	214	42	method(scale	method(scale	PROPN
fcis-31597	214	43	)	)	PUNCT
fcis-31597	214	44	ap	ap	PROPN
fcis-31597	214	45	params(m	params(m	PROPN
fcis-31597	214	46	)	)	PUNCT
fcis-31597	214	47	flops(g	flops(g	PROPN
fcis-31597	214	48	)	)	PUNCT
fcis-31597	214	49	yolov8	yolov8	NOUN
fcis-31597	214	50	-	-	PUNCT
fcis-31597	214	51	s(baseline	s(baseline	NOUN
fcis-31597	214	52	)	)	PUNCT
fcis-31597	214	53	44.9	44.9	NUM
fcis-31597	214	54	11.2	11.2	NUM
fcis-31597	214	55	28.6	28.6	NUM
fcis-31597	214	56	+	+	NOUN
fcis-31597	214	57	csd	csd	NOUN
fcis-31597	214	58	-	-	PUNCT
fcis-31597	214	59	head	head	NOUN
fcis-31597	214	60	45.8	45.8	NUM
fcis-31597	214	61	11.5	11.5	NUM
fcis-31597	214	62	30	30	NUM
fcis-31597	215	1	+	+	NUM
fcis-31597	215	2	rcq	rcq	NOUN
fcis-31597	215	3	-	-	PUNCT
fcis-31597	215	4	loss	loss	NOUN
fcis-31597	215	5	45.6	45.6	NUM
fcis-31597	215	6	+	+	NOUN
fcis-31597	215	7	csd	csd	NOUN
fcis-31597	215	8	-	-	PUNCT
fcis-31597	215	9	head+rcq	head+rcq	NOUN
fcis-31597	215	10	-	-	PUNCT
fcis-31597	215	11	loss	loss	NOUN
fcis-31597	215	12	46.7	46.7	NUM
fcis-31597	215	13	11.5	11.5	NUM
fcis-31597	215	14	30	30	NUM
fcis-31597	215	15	as	as	SCONJ
fcis-31597	215	16	shown	show	VERB
fcis-31597	215	17	in	in	ADP
fcis-31597	215	18	table	table	NOUN
fcis-31597	215	19	2	2	NUM
fcis-31597	216	1	,	,	PUNCT
fcis-31597	216	2	the	the	DET
fcis-31597	216	3	ablation	ablation	NOUN
fcis-31597	216	4	results	result	NOUN
fcis-31597	216	5	confirm	confirm	VERB
fcis-31597	216	6	that	that	SCONJ
fcis-31597	216	7	both	both	DET
fcis-31597	216	8	components	component	NOUN
fcis-31597	216	9	independently	independently	ADV
fcis-31597	216	10	improve	improve	VERB
fcis-31597	216	11	performance	performance	NOUN
fcis-31597	216	12	,	,	PUNCT
fcis-31597	216	13	and	and	CCONJ
fcis-31597	216	14	their	their	PRON
fcis-31597	216	15	combination	combination	NOUN
fcis-31597	216	16	yields	yield	VERB
fcis-31597	216	17	the	the	DET
fcis-31597	216	18	highest	high	ADJ
fcis-31597	216	19	gain	gain	NOUN
fcis-31597	216	20	.	.	PUNCT
fcis-31597	217	1	in	in	ADP
fcis-31597	217	2	particular	particular	ADJ
fcis-31597	217	3	,	,	PUNCT
fcis-31597	217	4	csd	csd	NOUN
fcis-31597	217	5	-	-	PUNCT
fcis-31597	217	6	head	head	NOUN
fcis-31597	217	7	(	(	PUNCT
fcis-31597	217	8	which	which	PRON
fcis-31597	217	9	introduces	introduce	VERB
fcis-31597	217	10	cross	cross	ADJ
fcis-31597	217	11	-	-	ADJ
fcis-31597	217	12	scale	scale	ADJ
fcis-31597	217	13	feature	feature	NOUN
fcis-31597	217	14	selection	selection	NOUN
fcis-31597	217	15	in	in	ADP
fcis-31597	217	16	the	the	DET
fcis-31597	217	17	detection	detection	NOUN
fcis-31597	217	18	head	head	NOUN
fcis-31597	217	19	)	)	PUNCT
fcis-31597	217	20	provides	provide	VERB
fcis-31597	217	21	a	a	DET
fcis-31597	217	22	notable	notable	ADJ
fcis-31597	217	23	boost	boost	NOUN
fcis-31597	217	24	in	in	ADP
fcis-31597	217	25	ap	ap	PROPN
fcis-31597	217	26	,	,	PUNCT
fcis-31597	217	27	likely	likely	ADV
fcis-31597	217	28	by	by	ADP
fcis-31597	217	29	better	well	ADJ
fcis-31597	217	30	handling	handle	VERB
fcis-31597	217	31	objects	object	NOUN
fcis-31597	217	32	of	of	ADP
fcis-31597	217	33	different	different	ADJ
fcis-31597	217	34	scales	scale	NOUN
fcis-31597	217	35	.	.	PUNCT
fcis-31597	218	1	rcq	rcq	NOUN
fcis-31597	218	2	-	-	PUNCT
fcis-31597	218	3	loss	loss	NOUN
fcis-31597	218	4	(	(	PUNCT
fcis-31597	218	5	which	which	PRON
fcis-31597	218	6	emphasizes	emphasize	VERB
fcis-31597	218	7	rank	rank	NOUN
fcis-31597	218	8	-	-	PUNCT
fcis-31597	218	9	consistent	consistent	ADJ
fcis-31597	218	10	quality	quality	NOUN
fcis-31597	218	11	in	in	ADP
fcis-31597	218	12	regression	regression	NOUN
fcis-31597	218	13	and	and	CCONJ
fcis-31597	218	14	classification	classification	NOUN
fcis-31597	218	15	)	)	PUNCT
fcis-31597	218	16	also	also	ADV
fcis-31597	218	17	improves	improve	VERB
fcis-31597	218	18	ap	ap	PROPN
fcis-31597	218	19	,	,	PUNCT
fcis-31597	218	20	suggesting	suggest	VERB
fcis-31597	218	21	it	it	PRON
fcis-31597	218	22	makes	make	VERB
fcis-31597	218	23	the	the	DET
fcis-31597	218	24	model	model	NOUN
fcis-31597	218	25	's	's	PART
fcis-31597	218	26	confidence	confidence	NOUN
fcis-31597	218	27	scores	score	VERB
fcis-31597	218	28	more	more	ADV
fcis-31597	218	29	aligned	aligned	ADJ
fcis-31597	218	30	with	with	ADP
fcis-31597	218	31	localization	localization	NOUN
fcis-31597	218	32	quality	quality	NOUN
fcis-31597	218	33	.	.	PUNCT
fcis-31597	219	1	when	when	SCONJ
fcis-31597	219	2	combined	combine	VERB
fcis-31597	219	3	,	,	PUNCT
fcis-31597	219	4	we	we	PRON
fcis-31597	219	5	observe	observe	VERB
fcis-31597	219	6	the	the	DET
fcis-31597	219	7	largest	large	ADJ
fcis-31597	219	8	ap	ap	NOUN
fcis-31597	219	9	increase	increase	NOUN
fcis-31597	219	10	,	,	PUNCT
fcis-31597	219	11	demonstrating	demonstrate	VERB
fcis-31597	219	12	that	that	SCONJ
fcis-31597	219	13	csd	csd	NOUN
fcis-31597	219	14	-	-	PUNCT
fcis-31597	219	15	head	head	NOUN
fcis-31597	219	16	and	and	CCONJ
fcis-31597	219	17	rcq	rcq	NOUN
fcis-31597	219	18	-	-	PUNCT
fcis-31597	219	19	loss	loss	NOUN
fcis-31597	219	20	address	address	NOUN
fcis-31597	219	21	different	different	ADJ
fcis-31597	219	22	aspects	aspect	NOUN
fcis-31597	219	23	of	of	ADP
fcis-31597	219	24	the	the	DET
fcis-31597	219	25	detection	detection	NOUN
fcis-31597	219	26	task	task	NOUN
fcis-31597	219	27	and	and	CCONJ
fcis-31597	219	28	can	can	AUX
fcis-31597	219	29	be	be	AUX
fcis-31597	219	30	used	use	VERB
fcis-31597	219	31	together	together	ADV
fcis-31597	219	32	for	for	ADP
fcis-31597	219	33	cumulative	cumulative	ADJ
fcis-31597	219	34	effect	effect	NOUN
fcis-31597	219	35	.	.	PUNCT
fcis-31597	220	1	we	we	PRON
fcis-31597	220	2	will	will	AUX
fcis-31597	220	3	further	far	ADV
fcis-31597	220	4	verify	verify	VERB
fcis-31597	220	5	these	these	DET
fcis-31597	220	6	findings	finding	NOUN
fcis-31597	220	7	with	with	ADP
fcis-31597	220	8	more	more	ADV
fcis-31597	220	9	extensive	extensive	ADJ
fcis-31597	220	10	experiments	experiment	NOUN
fcis-31597	220	11	and	and	CCONJ
fcis-31597	220	12	analyses	analysis	NOUN
fcis-31597	220	13	in	in	ADP
fcis-31597	220	14	future	future	ADJ
fcis-31597	220	15	work	work	NOUN
fcis-31597	220	16	.	.	PUNCT
fcis-31597	221	1	4	4	X
fcis-31597	221	2	.	.	X
fcis-31597	221	3	conclusion	conclusion	NOUN
fcis-31597	221	4	this	this	DET
fcis-31597	221	5	paper	paper	NOUN
fcis-31597	221	6	presented	present	VERB
fcis-31597	221	7	yolo	yolo	PROPN
fcis-31597	221	8	-	-	PUNCT
fcis-31597	221	9	alignrank	alignrank	PROPN
fcis-31597	221	10	,	,	PUNCT
fcis-31597	221	11	a	a	DET
fcis-31597	221	12	unified	unified	ADJ
fcis-31597	221	13	approach	approach	NOUN
fcis-31597	221	14	to	to	ADP
fcis-31597	221	15	the	the	DET
fcis-31597	221	16	long	long	ADJ
fcis-31597	221	17	standing	standing	ADJ
fcis-31597	221	18	misalignment	misalignment	NOUN
fcis-31597	221	19	between	between	ADP
fcis-31597	221	20	classification	classification	NOUN
fcis-31597	221	21	confidence	confidence	NOUN
fcis-31597	221	22	and	and	CCONJ
fcis-31597	221	23	localization	localization	NOUN
fcis-31597	221	24	quality	quality	NOUN
fcis-31597	221	25	in	in	ADP
fcis-31597	221	26	one	one	NUM
fcis-31597	221	27	-	-	PUNCT
fcis-31597	221	28	stage	stage	NOUN
fcis-31597	221	29	detectors	detector	NOUN
fcis-31597	221	30	.	.	PUNCT
fcis-31597	222	1	architecturally	architecturally	ADV
fcis-31597	222	2	,	,	PUNCT
fcis-31597	222	3	the	the	DET
fcis-31597	222	4	cross	cross	ADJ
fcis-31597	222	5	-	-	ADJ
fcis-31597	222	6	scale	scale	ADJ
fcis-31597	222	7	sparse	sparse	ADJ
fcis-31597	222	8	deformable	deformable	ADJ
fcis-31597	222	9	head	head	NOUN
fcis-31597	222	10	(	(	PUNCT
fcis-31597	222	11	csd	csd	NOUN
fcis-31597	222	12	-	-	PUNCT
fcis-31597	222	13	head	head	NOUN
fcis-31597	222	14	)	)	PUNCT
fcis-31597	222	15	performs	perform	VERB
fcis-31597	222	16	adjacent	adjacent	ADJ
fcis-31597	222	17	level	level	NOUN
fcis-31597	222	18	deformable	deformable	ADJ
fcis-31597	222	19	sampling	sampling	NOUN
fcis-31597	222	20	and	and	CCONJ
fcis-31597	222	21	then	then	ADV
fcis-31597	222	22	fuses	fuse	VERB
fcis-31597	222	23	features	feature	NOUN
fcis-31597	222	24	via	via	ADP
fcis-31597	222	25	a	a	DET
fcis-31597	222	26	lightweight	lightweight	ADJ
fcis-31597	222	27	bidirectional	bidirectional	ADJ
fcis-31597	222	28	cross	cross	NOUN
fcis-31597	222	29	scale	scale	NOUN
fcis-31597	222	30	dynamic	dynamic	ADJ
fcis-31597	222	31	module	module	NOUN
fcis-31597	222	32	(	(	PUNCT
fcis-31597	222	33	bcdm	bcdm	PROPN
fcis-31597	222	34	)	)	PUNCT
fcis-31597	222	35	,	,	PUNCT
fcis-31597	222	36	strengthening	strengthen	VERB
fcis-31597	222	37	multi	multi	ADJ
fcis-31597	222	38	scale	scale	NOUN
fcis-31597	222	39	representation	representation	NOUN
fcis-31597	222	40	with	with	ADP
fcis-31597	222	41	negligible	negligible	ADJ
fcis-31597	222	42	latency	latency	NOUN
fcis-31597	222	43	overhead	overhead	ADV
fcis-31597	222	44	.	.	PUNCT
fcis-31597	223	1	on	on	ADP
fcis-31597	223	2	the	the	DET
fcis-31597	223	3	objective	objective	ADJ
fcis-31597	223	4	side	side	NOUN
fcis-31597	223	5	,	,	PUNCT
fcis-31597	223	6	the	the	DET
fcis-31597	223	7	rank	rank	NOUN
fcis-31597	223	8	-	-	PUNCT
fcis-31597	223	9	consistent	consistent	ADJ
fcis-31597	223	10	quality	quality	NOUN
fcis-31597	223	11	loss	loss	NOUN
fcis-31597	223	12	(	(	PUNCT
fcis-31597	223	13	rcq	rcq	NOUN
fcis-31597	223	14	-	-	PUNCT
fcis-31597	223	15	loss	loss	NOUN
fcis-31597	223	16	)	)	PUNCT
fcis-31597	223	17	couples	couple	NOUN
fcis-31597	223	18	quality	quality	VERB
fcis-31597	223	19	aware	aware	ADJ
fcis-31597	223	20	calibration	calibration	NOUN
fcis-31597	223	21	with	with	ADP
fcis-31597	223	22	list	list	NOUN
fcis-31597	223	23	-	-	PUNCT
fcis-31597	223	24	wise	wise	ADJ
fcis-31597	223	25	distribution	distribution	NOUN
fcis-31597	223	26	alignment	alignment	NOUN
fcis-31597	223	27	and	and	CCONJ
fcis-31597	223	28	pairwise	pairwise	NOUN
fcis-31597	223	29	ranking	ranking	NOUN
fcis-31597	223	30	constraints	constraint	NOUN
fcis-31597	223	31	so	so	SCONJ
fcis-31597	223	32	that	that	SCONJ
fcis-31597	223	33	scores	score	NOUN
fcis-31597	223	34	become	become	VERB
fcis-31597	223	35	faithful	faithful	ADJ
fcis-31597	223	36	,	,	PUNCT
fcis-31597	223	37	rank‑consistent	rank‑consistent	NUM
fcis-31597	223	38	surrogates	surrogate	NOUN
fcis-31597	223	39	for	for	ADP
fcis-31597	223	40	iou	iou	NOUN
fcis-31597	223	41	.	.	PUNCT
fcis-31597	224	1	the	the	DET
fcis-31597	224	2	method	method	NOUN
fcis-31597	224	3	is	be	AUX
fcis-31597	224	4	plug	plug	NOUN
fcis-31597	224	5	-	-	PUNCT
fcis-31597	224	6	and	and	CCONJ
fcis-31597	224	7	-	-	PUNCT
fcis-31597	224	8	play	play	NOUN
fcis-31597	224	9	within	within	ADP
fcis-31597	224	10	modern	modern	ADJ
fcis-31597	224	11	yolo	yolo	ADJ
fcis-31597	224	12	training	training	NOUN
fcis-31597	224	13	and	and	CCONJ
fcis-31597	224	14	aligns	align	VERB
fcis-31597	224	15	naturally	naturally	ADV
fcis-31597	224	16	with	with	ADP
fcis-31597	224	17	nms	nms	NOUN
fcis-31597	224	18	-	-	PUNCT
fcis-31597	224	19	free	free	ADJ
fcis-31597	224	20	pipelines	pipeline	NOUN
fcis-31597	224	21	.	.	PUNCT
fcis-31597	225	1	on	on	ADP
fcis-31597	225	2	ms	ms	PROPN
fcis-31597	225	3	coco	coco	PROPN
fcis-31597	225	4	val2017	val2017	X
fcis-31597	225	5	at	at	ADP
fcis-31597	225	6	640×640	640×640	NUM
fcis-31597	225	7	with	with	ADP
fcis-31597	225	8	yolov8	yolov8	PROPN
fcis-31597	225	9	-	-	PUNCT
fcis-31597	225	10	s	s	PROPN
fcis-31597	225	11	,	,	PUNCT
fcis-31597	225	12	yolo	yolo	ADJ
fcis-31597	225	13	-	-	PUNCT
fcis-31597	225	14	alignrank	alignrank	NOUN
fcis-31597	225	15	lifts	lift	NOUN
fcis-31597	225	16	ap	ap	PROPN
fcis-31597	225	17	from	from	ADP
fcis-31597	225	18	44.9	44.9	NUM
fcis-31597	225	19	to	to	ADP
fcis-31597	225	20	46.9	46.9	NUM
fcis-31597	225	21	.	.	PUNCT
fcis-31597	226	1	ablations	ablation	NOUN
fcis-31597	226	2	show	show	VERB
fcis-31597	226	3	complementary	complementary	ADJ
fcis-31597	226	4	contributions	contribution	NOUN
fcis-31597	226	5	—	—	PUNCT
fcis-31597	226	6	csd	csd	NOUN
fcis-31597	226	7	-	-	PUNCT
fcis-31597	226	8	head	head	NOUN
fcis-31597	226	9	alone	alone	ADV
fcis-31597	226	10	at	at	ADP
fcis-31597	226	11	≈45.8	≈45.8	PROPN
fcis-31597	226	12	ap	ap	PROPN
fcis-31597	226	13	and	and	CCONJ
fcis-31597	226	14	rcq	rcq	NOUN
fcis-31597	226	15	-	-	PUNCT
fcis-31597	226	16	loss	loss	NOUN
fcis-31597	226	17	alone	alone	ADV
fcis-31597	226	18	at	at	ADP
fcis-31597	226	19	≈45.4	≈45.4	PROPN
fcis-31597	226	20	ap	ap	PROPN
fcis-31597	226	21	—	—	PUNCT
fcis-31597	226	22	with	with	ADP
fcis-31597	226	23	the	the	DET
fcis-31597	226	24	combined	combined	ADJ
fcis-31597	226	25	model	model	NOUN
fcis-31597	226	26	34	34	NUM
fcis-31597	226	27	reaching	reach	VERB
fcis-31597	226	28	≈46.7–46.9	≈46.7–46.9	PROPN
fcis-31597	226	29	ap	ap	PROPN
fcis-31597	226	30	,	,	PUNCT
fcis-31597	226	31	while	while	SCONJ
fcis-31597	226	32	the	the	DET
fcis-31597	226	33	end	end	NOUN
fcis-31597	226	34	-	-	PUNCT
fcis-31597	226	35	to	to	ADP
fcis-31597	226	36	-	-	PUNCT
fcis-31597	226	37	end	end	NOUN
fcis-31597	226	38	flops	flop	NOUN
fcis-31597	226	39	increase	increase	VERB
fcis-31597	226	40	remains	remain	VERB
fcis-31597	226	41	below	below	ADP
fcis-31597	226	42	5	5	NUM
fcis-31597	226	43	%	%	NOUN
fcis-31597	226	44	and	and	CCONJ
fcis-31597	226	45	inference	inference	NOUN
fcis-31597	226	46	throughput	throughput	NOUN
fcis-31597	226	47	is	be	AUX
fcis-31597	226	48	essentially	essentially	ADV
fcis-31597	226	49	unchanged	unchanged	ADJ
fcis-31597	226	50	.	.	PUNCT
fcis-31597	227	1	by	by	ADP
fcis-31597	227	2	jointly	jointly	ADV
fcis-31597	227	3	aligning	align	VERB
fcis-31597	227	4	cross	cross	ADJ
fcis-31597	227	5	-	-	ADJ
fcis-31597	227	6	scale	scale	ADJ
fcis-31597	227	7	features	feature	NOUN
fcis-31597	227	8	and	and	CCONJ
fcis-31597	227	9	enforcing	enforce	VERB
fcis-31597	227	10	intraobject	intraobject	NOUN
fcis-31597	227	11	ranking	rank	VERB
fcis-31597	227	12	consistency	consistency	NOUN
fcis-31597	227	13	,	,	PUNCT
fcis-31597	227	14	the	the	DET
fcis-31597	227	15	detector	detector	NOUN
fcis-31597	227	16	produces	produce	VERB
fcis-31597	227	17	more	more	ADV
fcis-31597	227	18	reliable	reliable	ADJ
fcis-31597	227	19	single	single	ADJ
fcis-31597	227	20	score	score	NOUN
fcis-31597	227	21	outputs	output	NOUN
fcis-31597	227	22	for	for	ADP
fcis-31597	227	23	both	both	DET
fcis-31597	227	24	nms	nms	NOUN
fcis-31597	227	25	-	-	PUNCT
fcis-31597	227	26	based	base	VERB
fcis-31597	227	27	and	and	CCONJ
fcis-31597	227	28	nmsfree	nmsfree	NOUN
fcis-31597	227	29	decoding	decoding	NOUN
fcis-31597	227	30	,	,	PUNCT
fcis-31597	227	31	simplifying	simplify	VERB
fcis-31597	227	32	real	real	ADJ
fcis-31597	227	33	time	time	NOUN
fcis-31597	227	34	deployment	deployment	NOUN
fcis-31597	227	35	and	and	CCONJ
fcis-31597	227	36	improving	improve	VERB
fcis-31597	227	37	robustness	robustness	NOUN
fcis-31597	227	38	for	for	ADP
fcis-31597	227	39	small	small	ADJ
fcis-31597	227	40	or	or	CCONJ
fcis-31597	227	41	deformed	deform	VERB
fcis-31597	227	42	objects	object	NOUN
fcis-31597	227	43	.	.	PUNCT
fcis-31597	228	1	future	future	ADJ
fcis-31597	228	2	work	work	NOUN
fcis-31597	228	3	will	will	AUX
fcis-31597	228	4	report	report	VERB
fcis-31597	228	5	unified	unified	ADJ
fcis-31597	228	6	throughput	throughput	NOUN
fcis-31597	228	7	on	on	ADP
fcis-31597	228	8	a	a	DET
fcis-31597	228	9	common	common	ADJ
fcis-31597	228	10	hardware	hardware	NOUN
fcis-31597	228	11	/	/	SYM
fcis-31597	228	12	software	software	NOUN
fcis-31597	228	13	stack	stack	NOUN
fcis-31597	228	14	,	,	PUNCT
fcis-31597	228	15	conduct	conduct	VERB
fcis-31597	228	16	fine	fine	ADV
fcis-31597	228	17	-	-	PUNCT
fcis-31597	228	18	grained	grain	VERB
fcis-31597	228	19	error	error	NOUN
fcis-31597	228	20	and	and	CCONJ
fcis-31597	228	21	calibration	calibration	NOUN
fcis-31597	228	22	analyses	analysis	NOUN
fcis-31597	228	23	,	,	PUNCT
fcis-31597	228	24	and	and	CCONJ
fcis-31597	228	25	extend	extend	VERB
fcis-31597	228	26	the	the	DET
fcis-31597	228	27	approach	approach	NOUN
fcis-31597	228	28	to	to	ADP
fcis-31597	228	29	larger	large	ADJ
fcis-31597	228	30	backbones	backbone	NOUN
fcis-31597	228	31	,	,	PUNCT
fcis-31597	228	32	transformer	transformer	NOUN
fcis-31597	228	33	heads	head	NOUN
fcis-31597	228	34	,	,	PUNCT
fcis-31597	228	35	and	and	CCONJ
fcis-31597	228	36	broader	broad	ADJ
fcis-31597	228	37	assignments	assignment	NOUN
fcis-31597	228	38	or	or	CCONJ
fcis-31597	228	39	domains	domain	NOUN
fcis-31597	228	40	.	.	PUNCT
fcis-31597	229	1	acknowledgments	acknowledgment	NOUN
fcis-31597	229	2	we	we	PRON
fcis-31597	229	3	thank	thank	VERB
fcis-31597	229	4	colleagues	colleague	NOUN
fcis-31597	229	5	at	at	ADP
fcis-31597	229	6	the	the	DET
fcis-31597	229	7	college	college	NOUN
fcis-31597	229	8	of	of	ADP
fcis-31597	229	9	artificial	artificial	ADJ
fcis-31597	229	10	intelligence	intelligence	NOUN
fcis-31597	229	11	,	,	PUNCT
fcis-31597	229	12	xinjiang	xinjiang	PROPN
fcis-31597	229	13	vocational	vocational	PROPN
fcis-31597	229	14	university	university	PROPN
fcis-31597	229	15	of	of	ADP
fcis-31597	229	16	technology	technology	NOUN
fcis-31597	229	17	for	for	ADP
fcis-31597	229	18	insightful	insightful	ADJ
fcis-31597	229	19	discussions	discussion	NOUN
fcis-31597	229	20	and	and	CCONJ
fcis-31597	229	21	computational	computational	ADJ
fcis-31597	229	22	support	support	NOUN
fcis-31597	229	23	.	.	PUNCT
fcis-31597	230	1	and	and	CCONJ
fcis-31597	230	2	by	by	ADP
fcis-31597	230	3	institutional	institutional	ADJ
fcis-31597	230	4	research	research	NOUN
fcis-31597	230	5	funding	funding	NOUN
fcis-31597	230	6	from	from	ADP
fcis-31597	230	7	xinjiang	xinjiang	PROPN
fcis-31597	230	8	vocational	vocational	PROPN
fcis-31597	230	9	university	university	PROPN
fcis-31597	230	10	of	of	ADP
fcis-31597	230	11	technology	technology	NOUN
fcis-31597	230	12	.	.	PUNCT
fcis-31597	231	1	we	we	PRON
fcis-31597	231	2	also	also	ADV
fcis-31597	231	3	acknowledge	acknowledge	VERB
fcis-31597	231	4	the	the	DET
fcis-31597	231	5	maintainers	maintainer	NOUN
fcis-31597	231	6	of	of	ADP
fcis-31597	231	7	ms	ms	PROPN
fcis-31597	231	8	coco	coco	PROPN
fcis-31597	231	9	and	and	CCONJ
fcis-31597	231	10	the	the	DET
fcis-31597	231	11	open	open	ADJ
fcis-31597	231	12	-	-	PUNCT
fcis-31597	231	13	source	source	NOUN
fcis-31597	231	14	communities	community	NOUN
fcis-31597	231	15	behind	behind	ADP
fcis-31597	231	16	pytorch	pytorch	NOUN
fcis-31597	231	17	and	and	CCONJ
fcis-31597	231	18	ultralytics	ultralytic	NOUN
fcis-31597	231	19	yolov8	yolov8	PROPN
fcis-31597	231	20	,	,	PUNCT
fcis-31597	231	21	whose	whose	DET
fcis-31597	231	22	tools	tool	NOUN
fcis-31597	231	23	and	and	CCONJ
fcis-31597	231	24	codebases	codebase	NOUN
fcis-31597	231	25	facilitated	facilitate	VERB
fcis-31597	231	26	our	our	PRON
fcis-31597	231	27	experiments	experiment	NOUN
fcis-31597	231	28	.	.	PUNCT
fcis-31597	232	1	the	the	DET
fcis-31597	232	2	views	view	NOUN
fcis-31597	232	3	expressed	express	VERB
fcis-31597	232	4	are	be	AUX
fcis-31597	232	5	those	those	PRON
fcis-31597	232	6	of	of	ADP
fcis-31597	232	7	the	the	DET
fcis-31597	232	8	authors	author	NOUN
fcis-31597	232	9	and	and	CCONJ
fcis-31597	232	10	do	do	AUX
fcis-31597	232	11	not	not	PART
fcis-31597	232	12	necessarily	necessarily	ADV
fcis-31597	232	13	reflect	reflect	VERB
fcis-31597	232	14	those	those	PRON
fcis-31597	232	15	of	of	ADP
fcis-31597	232	16	the	the	DET
fcis-31597	232	17	sponsors	sponsor	NOUN
fcis-31597	232	18	.	.	PUNCT
fcis-31597	233	1	references	reference	NOUN
fcis-31597	233	2	[	[	X
fcis-31597	233	3	1	1	NUM
fcis-31597	233	4	]	]	PUNCT
fcis-31597	233	5	k.	k.	NOUN
fcis-31597	234	1	he	he	PROPN
fcis-31597	234	2	,	,	PUNCT
fcis-31597	234	3	r.	r.	PROPN
fcis-31597	234	4	girshick	girshick	PROPN
fcis-31597	234	5	,	,	PUNCT
fcis-31597	234	6	and	and	CCONJ
fcis-31597	234	7	p.	p.	NOUN
fcis-31597	234	8	dollár	dollár	NOUN
fcis-31597	234	9	,	,	PUNCT
fcis-31597	234	10	"	"	PUNCT
fcis-31597	234	11	detr	detr	NOUN
fcis-31597	234	12	:	:	PUNCT
fcis-31597	234	13	end	end	NOUN
fcis-31597	234	14	-	-	PUNCT
fcis-31597	234	15	to	to	ADP
fcis-31597	234	16	-	-	PUNCT
fcis-31597	234	17	end	end	NOUN
fcis-31597	234	18	object	object	NOUN
fcis-31597	234	19	detection	detection	NOUN
fcis-31597	234	20	with	with	ADP
fcis-31597	234	21	transformers	transformer	NOUN
fcis-31597	234	22	,	,	PUNCT
fcis-31597	234	23	"	"	PUNCT
fcis-31597	234	24	advances	advance	NOUN
fcis-31597	234	25	in	in	ADP
fcis-31597	234	26	neural	neural	ADJ
fcis-31597	234	27	information	information	NOUN
fcis-31597	234	28	processing	processing	NOUN
fcis-31597	234	29	systems	system	NOUN
fcis-31597	234	30	(	(	PUNCT
fcis-31597	234	31	neurips	neurip	NOUN
fcis-31597	234	32	)	)	PUNCT
fcis-31597	234	33	,	,	PUNCT
fcis-31597	234	34	2020	2020	NUM
fcis-31597	234	35	.	.	PUNCT
fcis-31597	235	1	[	[	X
fcis-31597	235	2	2	2	X
fcis-31597	235	3	]	]	PUNCT
fcis-31597	235	4	h.	h.	PROPN
fcis-31597	235	5	zhang	zhang	PROPN
fcis-31597	235	6	,	,	PUNCT
fcis-31597	235	7	h.	h.	PROPN
fcis-31597	235	8	wang	wang	PROPN
fcis-31597	235	9	,	,	PUNCT
fcis-31597	235	10	f.	f.	PROPN
fcis-31597	235	11	dayoub	dayoub	PROPN
fcis-31597	235	12	,	,	PUNCT
fcis-31597	235	13	and	and	CCONJ
fcis-31597	235	14	n.	n.	PROPN
fcis-31597	235	15	sunderhauf	sunderhauf	NOUN
fcis-31597	235	16	,	,	PUNCT
fcis-31597	235	17	"	"	PUNCT
fcis-31597	235	18	varifocalnet	varifocalnet	NOUN
fcis-31597	235	19	:	:	PUNCT
fcis-31597	235	20	an	an	DET
fcis-31597	235	21	iou	iou	NOUN
fcis-31597	235	22	-	-	PUNCT
fcis-31597	235	23	aware	aware	ADJ
fcis-31597	235	24	dense	dense	ADJ
fcis-31597	235	25	object	object	NOUN
fcis-31597	235	26	detector	detector	NOUN
fcis-31597	235	27	,	,	PUNCT
fcis-31597	235	28	"	"	PUNCT
fcis-31597	235	29	in	in	ADP
fcis-31597	235	30	proc	proc	NOUN
fcis-31597	235	31	.	.	PUNCT
fcis-31597	236	1	ieee	ieee	NOUN
fcis-31597	236	2	/	/	SYM
fcis-31597	236	3	cvf	cvf	NOUN
fcis-31597	236	4	conf	conf	NOUN
fcis-31597	236	5	.	.	PUNCT
fcis-31597	237	1	on	on	ADP
fcis-31597	237	2	computer	computer	NOUN
fcis-31597	237	3	vision	vision	NOUN
fcis-31597	237	4	and	and	CCONJ
fcis-31597	237	5	pattern	pattern	NOUN
fcis-31597	237	6	recognition	recognition	NOUN
fcis-31597	237	7	(	(	PUNCT
fcis-31597	237	8	cvpr	cvpr	NOUN
fcis-31597	237	9	)	)	PUNCT
fcis-31597	237	10	,	,	PUNCT
fcis-31597	237	11	2021	2021	NUM
fcis-31597	237	12	,	,	PUNCT
fcis-31597	237	13	pp	pp	PROPN
fcis-31597	237	14	.	.	PUNCT
fcis-31597	237	15	8514–8523	8514–8523	NOUN
fcis-31597	237	16	.	.	PUNCT
fcis-31597	238	1	[	[	X
fcis-31597	238	2	3	3	X
fcis-31597	238	3	]	]	PUNCT
fcis-31597	238	4	z.	z.	PROPN
fcis-31597	238	5	ge	ge	PROPN
fcis-31597	238	6	,	,	PUNCT
fcis-31597	238	7	s.	s.	PROPN
fcis-31597	238	8	liu	liu	PROPN
fcis-31597	238	9	,	,	PUNCT
fcis-31597	238	10	f.	f.	PROPN
fcis-31597	238	11	wang	wang	PROPN
fcis-31597	238	12	,	,	PUNCT
fcis-31597	238	13	z.	z.	PROPN
fcis-31597	238	14	li	li	PROPN
fcis-31597	238	15	,	,	PUNCT
fcis-31597	238	16	and	and	CCONJ
fcis-31597	238	17	j.	j.	PROPN
fcis-31597	238	18	sun	sun	PROPN
fcis-31597	238	19	,	,	PUNCT
fcis-31597	238	20	"	"	PUNCT
fcis-31597	238	21	yolox	yolox	NOUN
fcis-31597	238	22	:	:	PUNCT
fcis-31597	238	23	exceeding	exceed	VERB
fcis-31597	238	24	yolo	yolo	ADJ
fcis-31597	238	25	series	series	NOUN
fcis-31597	238	26	in	in	ADP
fcis-31597	238	27	2021	2021	NUM
fcis-31597	238	28	,	,	PUNCT
fcis-31597	238	29	"	"	PUNCT
fcis-31597	238	30	arxiv:2107.08430	arxiv:2107.08430	NOUN
fcis-31597	238	31	,	,	PUNCT
fcis-31597	238	32	2021	2021	NUM
fcis-31597	238	33	.	.	PUNCT
fcis-31597	239	1	[	[	X
fcis-31597	239	2	4	4	NUM
fcis-31597	239	3	]	]	X
fcis-31597	239	4	c.	c.	PROPN
fcis-31597	239	5	wang	wang	PROPN
fcis-31597	239	6	,	,	PUNCT
fcis-31597	239	7	y.	y.	PROPN
fcis-31597	239	8	song	song	PROPN
fcis-31597	239	9	,	,	PUNCT
fcis-31597	239	10	h.	h.	PROPN
fcis-31597	239	11	li	li	PROPN
fcis-31597	239	12	,	,	PUNCT
fcis-31597	239	13	et	et	PROPN
fcis-31597	239	14	al	al	PROPN
fcis-31597	239	15	.	.	PROPN
fcis-31597	239	16	,	,	PUNCT
fcis-31597	239	17	"	"	PUNCT
fcis-31597	239	18	yolov10	yolov10	NOUN
fcis-31597	239	19	:	:	PUNCT
fcis-31597	239	20	real	real	ADJ
fcis-31597	239	21	-	-	PUNCT
fcis-31597	239	22	time	time	NOUN
fcis-31597	239	23	endto	endto	NOUN
fcis-31597	239	24	-	-	PUNCT
fcis-31597	239	25	end	end	NOUN
fcis-31597	239	26	object	object	NOUN
fcis-31597	239	27	detection	detection	NOUN
fcis-31597	239	28	,	,	PUNCT
fcis-31597	239	29	"	"	PUNCT
fcis-31597	239	30	arxiv:2405.14458	arxiv:2405.14458	PROPN
fcis-31597	239	31	,	,	PUNCT
fcis-31597	239	32	2024	2024	NUM
fcis-31597	239	33	.	.	PUNCT
fcis-31597	240	1	[	[	X
fcis-31597	240	2	5	5	NUM
fcis-31597	240	3	]	]	PUNCT
fcis-31597	240	4	x.	x.	NOUN
fcis-31597	240	5	zhu	zhu	PROPN
fcis-31597	240	6	,	,	PUNCT
fcis-31597	240	7	h.	h.	PROPN
fcis-31597	240	8	hu	hu	PROPN
fcis-31597	240	9	,	,	PUNCT
fcis-31597	240	10	s.	s.	PROPN
fcis-31597	240	11	lin	lin	PROPN
fcis-31597	240	12	,	,	PUNCT
fcis-31597	240	13	and	and	CCONJ
fcis-31597	240	14	j.	j.	PROPN
fcis-31597	240	15	dai	dai	PROPN
fcis-31597	240	16	,	,	PUNCT
fcis-31597	240	17	"	"	PUNCT
fcis-31597	240	18	deformable	deformable	ADJ
fcis-31597	240	19	convnets	convnet	NOUN
fcis-31597	240	20	v2	v2	NOUN
fcis-31597	240	21	:	:	PUNCT
fcis-31597	240	22	more	more	ADV
fcis-31597	240	23	deformable	deformable	ADJ
fcis-31597	240	24	,	,	PUNCT
fcis-31597	240	25	better	well	ADJ
fcis-31597	240	26	results	result	NOUN
fcis-31597	240	27	,	,	PUNCT
fcis-31597	240	28	"	"	PUNCT
fcis-31597	240	29	arxiv:1811.11168	arxiv:1811.11168	NOUN
fcis-31597	240	30	,	,	PUNCT
fcis-31597	240	31	2018	2018	NUM
fcis-31597	240	32	.	.	PUNCT
fcis-31597	241	1	[	[	X
fcis-31597	241	2	6	6	NUM
fcis-31597	241	3	]	]	PUNCT
fcis-31597	241	4	x.	x.	NOUN
fcis-31597	241	5	zhu	zhu	PROPN
fcis-31597	241	6	,	,	PUNCT
fcis-31597	241	7	w.	w.	PROPN
fcis-31597	241	8	su	su	PROPN
fcis-31597	241	9	,	,	PUNCT
fcis-31597	241	10	l.	l.	PROPN
fcis-31597	241	11	lu	lu	PROPN
fcis-31597	241	12	,	,	PUNCT
fcis-31597	241	13	et	et	PROPN
fcis-31597	241	14	al	al	PROPN
fcis-31597	241	15	.	.	PROPN
fcis-31597	241	16	,	,	PUNCT
fcis-31597	241	17	"	"	PUNCT
fcis-31597	241	18	deformable	deformable	ADJ
fcis-31597	241	19	detr	detr	NOUN
fcis-31597	241	20	:	:	PUNCT
fcis-31597	241	21	deformable	deformable	ADJ
fcis-31597	241	22	transformers	transformer	NOUN
fcis-31597	241	23	for	for	ADP
fcis-31597	241	24	end	end	NOUN
fcis-31597	241	25	-	-	PUNCT
fcis-31597	241	26	to	to	ADP
fcis-31597	241	27	-	-	PUNCT
fcis-31597	241	28	end	end	NOUN
fcis-31597	241	29	object	object	NOUN
fcis-31597	241	30	detection	detection	NOUN
fcis-31597	241	31	,	,	PUNCT
fcis-31597	241	32	"	"	PUNCT
fcis-31597	241	33	proc	proc	NOUN
fcis-31597	241	34	.	.	PUNCT
fcis-31597	242	1	int	int	NOUN
fcis-31597	242	2	.	.	PUNCT
fcis-31597	242	3	conf	conf	PROPN
fcis-31597	242	4	.	.	PUNCT
fcis-31597	243	1	on	on	ADP
fcis-31597	243	2	learning	learn	VERB
fcis-31597	243	3	representations	representation	NOUN
fcis-31597	243	4	(	(	PUNCT
fcis-31597	243	5	iclr	iclr	NOUN
fcis-31597	243	6	)	)	PUNCT
fcis-31597	243	7	,	,	PUNCT
fcis-31597	243	8	2021	2021	NUM
fcis-31597	243	9	.	.	PUNCT
fcis-31597	244	1	[	[	X
fcis-31597	244	2	7	7	X
fcis-31597	244	3	]	]	PUNCT
fcis-31597	244	4	s.	s.	PROPN
fcis-31597	244	5	liu	liu	PROPN
fcis-31597	244	6	,	,	PUNCT
fcis-31597	244	7	l.	l.	PROPN
fcis-31597	244	8	qi	qi	PROPN
fcis-31597	244	9	,	,	PUNCT
fcis-31597	244	10	h.	h.	PROPN
fcis-31597	244	11	qin	qin	PROPN
fcis-31597	244	12	,	,	PUNCT
fcis-31597	244	13	j.	j.	PROPN
fcis-31597	244	14	shi	shi	PROPN
fcis-31597	244	15	,	,	PUNCT
fcis-31597	244	16	and	and	CCONJ
fcis-31597	244	17	j.	j.	PROPN
fcis-31597	244	18	jia	jia	PROPN
fcis-31597	244	19	,	,	PUNCT
fcis-31597	244	20	"	"	PUNCT
fcis-31597	244	21	path	path	NOUN
fcis-31597	244	22	aggregation	aggregation	NOUN
fcis-31597	244	23	network	network	NOUN
fcis-31597	244	24	for	for	ADP
fcis-31597	244	25	instance	instance	NOUN
fcis-31597	244	26	segmentation	segmentation	NOUN
fcis-31597	244	27	,	,	PUNCT
fcis-31597	244	28	"	"	PUNCT
fcis-31597	244	29	proc	proc	NOUN
fcis-31597	244	30	.	.	PUNCT
fcis-31597	244	31	ieee	ieee	NOUN
fcis-31597	244	32	/	/	SYM
fcis-31597	244	33	cvf	cvf	NOUN
fcis-31597	244	34	conf	conf	NOUN
fcis-31597	244	35	.	.	PUNCT
fcis-31597	245	1	on	on	ADP
fcis-31597	245	2	computer	computer	NOUN
fcis-31597	245	3	vision	vision	NOUN
fcis-31597	245	4	and	and	CCONJ
fcis-31597	245	5	pattern	pattern	NOUN
fcis-31597	245	6	recognition	recognition	NOUN
fcis-31597	245	7	(	(	PUNCT
fcis-31597	245	8	cvpr	cvpr	NOUN
fcis-31597	245	9	)	)	PUNCT
fcis-31597	245	10	,	,	PUNCT
fcis-31597	245	11	2018	2018	NUM
fcis-31597	245	12	,	,	PUNCT
fcis-31597	245	13	pp	pp	ADJ
fcis-31597	245	14	.	.	PUNCT
fcis-31597	245	15	8759–8768	8759–8768	NUM
fcis-31597	245	16	.	.	PUNCT
fcis-31597	246	1	[	[	X
fcis-31597	246	2	8	8	NUM
fcis-31597	246	3	]	]	X
fcis-31597	246	4	r.	r.	PROPN
fcis-31597	246	5	hogan	hogan	PROPN
fcis-31597	246	6	,	,	PUNCT
fcis-31597	246	7	"	"	PUNCT
fcis-31597	246	8	what	what	PRON
fcis-31597	246	9	is	be	AUX
fcis-31597	246	10	yolov10	yolov10	NOUN
fcis-31597	246	11	?	?	PUNCT
fcis-31597	247	1	an	an	DET
fcis-31597	247	2	architecture	architecture	NOUN
fcis-31597	247	3	deep	deep	ADJ
fcis-31597	247	4	dive	dive	NOUN
fcis-31597	247	5	,	,	PUNCT
fcis-31597	247	6	"	"	PUNCT
fcis-31597	247	7	roboflow	roboflow	ADJ
fcis-31597	247	8	blog	blog	PROPN
fcis-31597	247	9	,	,	PUNCT
fcis-31597	247	10	jun	jun	PROPN
fcis-31597	247	11	.	.	PROPN
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fcis-31597	250	6	,	,	PUNCT
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fcis-31597	251	3	]	]	PUNCT
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fcis-31597	251	16	:	:	PUNCT
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fcis-31597	251	30	"	"	PUNCT
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fcis-31597	251	39	,	,	PUNCT
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fcis-31597	251	42	,	,	PUNCT
fcis-31597	251	43	2024	2024	NUM
fcis-31597	251	44	.	.	PUNCT
fcis-31597	252	1	[	[	X
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fcis-31597	252	3	]	]	X
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fcis-31597	252	17	"	"	PUNCT
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fcis-31597	255	2	-	-	SYM
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fcis-31597	256	25	"	"	PUNCT
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fcis-31597	257	3	]	]	PUNCT
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fcis-31597	263	35	conf	conf	NOUN
fcis-31597	263	36	.	.	PUNCT
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fcis-31597	264	7	,	,	PUNCT
fcis-31597	264	8	2019	2019	NUM
fcis-31597	264	9	,	,	PUNCT
fcis-31597	264	10	pp	pp	ADJ
fcis-31597	264	11	.	.	PUNCT
fcis-31597	264	12	9308	9308	NUM
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fcis-31597	265	18	“	"	PUNCT
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fcis-31597	265	20	:	:	PUNCT
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fcis-31597	265	36	(	(	PUNCT
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