id	sid	tid	token	lemma	pos
fcis-15813	1	1	frontiers	frontier	NOUN
fcis-15813	1	2	in	in	ADP
fcis-15813	1	3	computing	computing	NOUN
fcis-15813	1	4	and	and	CCONJ
fcis-15813	1	5	intelligent	intelligent	ADJ
fcis-15813	1	6	systems	system	NOUN
fcis-15813	1	7	issn	issn	VERB
fcis-15813	1	8	:	:	PUNCT
fcis-15813	1	9	2832	2832	NUM
fcis-15813	1	10	-	-	SYM
fcis-15813	1	11	6024	6024	NUM
fcis-15813	1	12	|	|	NOUN
fcis-15813	1	13	vol	vol	NOUN
fcis-15813	1	14	.	.	PROPN
fcis-15813	2	1	6	6	NUM
fcis-15813	2	2	,	,	PUNCT
fcis-15813	2	3	no	no	INTJ
fcis-15813	2	4	.	.	NOUN
fcis-15813	2	5	3	3	NUM
fcis-15813	2	6	,	,	PUNCT
fcis-15813	2	7	2023	2023	NUM
fcis-15813	2	8	75	75	NUM
fcis-15813	2	9	study	study	NOUN
fcis-15813	2	10	on	on	ADP
fcis-15813	2	11	the	the	DET
fcis-15813	2	12	lightweighting	lightweighting	NOUN
fcis-15813	2	13	of	of	ADP
fcis-15813	2	14	yolov5s	yolov5s	PROPN
fcis-15813	2	15	model	model	NOUN
fcis-15813	2	16	for	for	ADP
fcis-15813	2	17	precise	precise	ADJ
fcis-15813	2	18	detection	detection	NOUN
fcis-15813	2	19	of	of	ADP
fcis-15813	2	20	irregular‐shaped	irregular‐shape	VERB
fcis-15813	2	21	components	component	NOUN
fcis-15813	2	22	hanpeng	hanpeng	NOUN
fcis-15813	2	23	ren	ren	PROPN
fcis-15813	2	24	1	1	NUM
fcis-15813	2	25	,	,	PUNCT
fcis-15813	2	26	lei	lei	PROPN
fcis-15813	2	27	dong	dong	PROPN
fcis-15813	2	28	1	1	NUM
fcis-15813	2	29	,	,	PUNCT
fcis-15813	2	30	*	*	PUNCT
fcis-15813	2	31	,	,	PUNCT
fcis-15813	2	32	yangang	yangang	PROPN
fcis-15813	2	33	jin	jin	PROPN
fcis-15813	2	34	2	2	NUM
fcis-15813	2	35	,	,	PUNCT
fcis-15813	2	36	yuefei	yuefei	PROPN
fcis-15813	2	37	zheng	zheng	PROPN
fcis-15813	2	38	1	1	NUM
fcis-15813	2	39	,	,	PUNCT
fcis-15813	2	40	haojie	haojie	PROPN
fcis-15813	2	41	zhu	zhu	PROPN
fcis-15813	2	42	1	1	NUM
fcis-15813	2	43	,	,	PUNCT
fcis-15813	2	44	beiping	beipe	VERB
fcis-15813	2	45	zhao	zhao	PROPN
fcis-15813	2	46	2	2	NUM
fcis-15813	2	47	,	,	PUNCT
fcis-15813	2	48	yushuang	yushuang	PROPN
fcis-15813	2	49	feng	feng	PROPN
fcis-15813	2	50	1	1	NUM
fcis-15813	2	51	1	1	NUM
fcis-15813	2	52	school	school	NOUN
fcis-15813	2	53	of	of	ADP
fcis-15813	2	54	mechanical	mechanical	ADJ
fcis-15813	2	55	engineering	engineering	NOUN
fcis-15813	2	56	,	,	PUNCT
fcis-15813	2	57	tianjin	tianjin	PROPN
fcis-15813	2	58	university	university	PROPN
fcis-15813	2	59	of	of	ADP
fcis-15813	2	60	technology	technology	NOUN
fcis-15813	2	61	and	and	CCONJ
fcis-15813	2	62	education	education	NOUN
fcis-15813	2	63	,	,	PUNCT
fcis-15813	2	64	tianjin	tianjin	PROPN
fcis-15813	2	65	300222	300222	NUM
fcis-15813	2	66	,	,	PUNCT
fcis-15813	2	67	china	china	PROPN
fcis-15813	2	68	2	2	NUM
fcis-15813	2	69	citylong	citylong	NOUN
fcis-15813	2	70	technology	technology	PROPN
fcis-15813	2	71	development	development	PROPN
fcis-15813	2	72	co.	co.	PROPN
fcis-15813	2	73	,	,	PUNCT
fcis-15813	2	74	ltd	ltd	PROPN
fcis-15813	2	75	,	,	PUNCT
fcis-15813	2	76	tianjin	tianjin	PROPN
fcis-15813	2	77	300300	300300	NUM
fcis-15813	2	78	,	,	PUNCT
fcis-15813	2	79	china	china	PROPN
fcis-15813	2	80	*	*	PUNCT
fcis-15813	2	81	corresponding	correspond	VERB
fcis-15813	2	82	author	author	NOUN
fcis-15813	2	83	:	:	PUNCT
fcis-15813	2	84	lei	lei	PROPN
fcis-15813	2	85	dong	dong	PROPN
fcis-15813	2	86	abstract	abstract	PROPN
fcis-15813	2	87	:	:	PUNCT
fcis-15813	2	88	traditional	traditional	ADJ
fcis-15813	2	89	methods	method	NOUN
fcis-15813	2	90	for	for	ADP
fcis-15813	2	91	target	target	NOUN
fcis-15813	2	92	recognition	recognition	NOUN
fcis-15813	2	93	face	face	VERB
fcis-15813	2	94	challenges	challenge	NOUN
fcis-15813	2	95	in	in	ADP
fcis-15813	2	96	meeting	meet	VERB
fcis-15813	2	97	both	both	DET
fcis-15813	2	98	precision	precision	NOUN
fcis-15813	2	99	and	and	CCONJ
fcis-15813	2	100	speed	speed	NOUN
fcis-15813	2	101	requirements	requirement	NOUN
fcis-15813	2	102	for	for	ADP
fcis-15813	2	103	precision	precision	NOUN
fcis-15813	2	104	-	-	PUNCT
fcis-15813	2	105	shaped	shape	VERB
fcis-15813	2	106	parts	part	NOUN
fcis-15813	2	107	.	.	PUNCT
fcis-15813	3	1	in	in	ADP
fcis-15813	3	2	this	this	DET
fcis-15813	3	3	paper	paper	NOUN
fcis-15813	3	4	,	,	PUNCT
fcis-15813	3	5	we	we	PRON
fcis-15813	3	6	propose	propose	VERB
fcis-15813	3	7	an	an	DET
fcis-15813	3	8	enhanced	enhanced	ADJ
fcis-15813	3	9	algorithm	algorithm	NOUN
fcis-15813	3	10	for	for	ADP
fcis-15813	3	11	precision	precision	NOUN
fcis-15813	3	12	-	-	PUNCT
fcis-15813	3	13	shaped	shape	VERB
fcis-15813	3	14	part	part	NOUN
fcis-15813	3	15	recognition	recognition	NOUN
fcis-15813	3	16	by	by	ADP
fcis-15813	3	17	integrating	integrate	VERB
fcis-15813	3	18	deep	deep	ADJ
fcis-15813	3	19	learning	learning	NOUN
fcis-15813	3	20	theory	theory	NOUN
fcis-15813	3	21	.	.	PUNCT
fcis-15813	4	1	to	to	PART
fcis-15813	4	2	achieve	achieve	VERB
fcis-15813	4	3	this	this	PRON
fcis-15813	4	4	,	,	PUNCT
fcis-15813	4	5	we	we	PRON
fcis-15813	4	6	modify	modify	VERB
fcis-15813	4	7	the	the	DET
fcis-15813	4	8	yolov5	yolov5	NOUN
fcis-15813	4	9	network	network	NOUN
fcis-15813	4	10	.	.	PUNCT
fcis-15813	5	1	specifically	specifically	ADV
fcis-15813	5	2	,	,	PUNCT
fcis-15813	5	3	we	we	PRON
fcis-15813	5	4	replace	replace	VERB
fcis-15813	5	5	the	the	DET
fcis-15813	5	6	c3	c3	PROPN
fcis-15813	5	7	module	module	NOUN
fcis-15813	5	8	of	of	ADP
fcis-15813	5	9	the	the	DET
fcis-15813	5	10	original	original	ADJ
fcis-15813	5	11	network	network	NOUN
fcis-15813	5	12	's	's	PART
fcis-15813	5	13	backbone	backbone	NOUN
fcis-15813	5	14	with	with	ADP
fcis-15813	5	15	the	the	DET
fcis-15813	5	16	c3_ghostnetv2	c3_ghostnetv2	PROPN
fcis-15813	5	17	network	network	NOUN
fcis-15813	5	18	,	,	PUNCT
fcis-15813	5	19	which	which	PRON
fcis-15813	5	20	incorporates	incorporate	VERB
fcis-15813	5	21	ghostnetv2	ghostnetv2	NOUN
fcis-15813	5	22	.	.	PUNCT
fcis-15813	6	1	this	this	DET
fcis-15813	6	2	modification	modification	NOUN
fcis-15813	6	3	results	result	NOUN
fcis-15813	6	4	in	in	ADP
fcis-15813	6	5	a	a	DET
fcis-15813	6	6	lighter	light	ADJ
fcis-15813	6	7	network	network	NOUN
fcis-15813	6	8	with	with	ADP
fcis-15813	6	9	reduced	reduced	ADJ
fcis-15813	6	10	model	model	NOUN
fcis-15813	6	11	parameters	parameter	NOUN
fcis-15813	6	12	and	and	CCONJ
fcis-15813	6	13	size	size	NOUN
fcis-15813	6	14	,	,	PUNCT
fcis-15813	6	15	thereby	thereby	ADV
fcis-15813	6	16	improving	improve	VERB
fcis-15813	6	17	detection	detection	NOUN
fcis-15813	6	18	speed	speed	NOUN
fcis-15813	6	19	.	.	PUNCT
fcis-15813	7	1	moreover	moreover	ADV
fcis-15813	7	2	,	,	PUNCT
fcis-15813	7	3	we	we	PRON
fcis-15813	7	4	replace	replace	VERB
fcis-15813	7	5	the	the	DET
fcis-15813	7	6	convolution	convolution	NOUN
fcis-15813	7	7	in	in	ADP
fcis-15813	7	8	the	the	DET
fcis-15813	7	9	original	original	ADJ
fcis-15813	7	10	network	network	NOUN
fcis-15813	7	11	's	's	PART
fcis-15813	7	12	neck	neck	NOUN
fcis-15813	7	13	with	with	ADP
fcis-15813	7	14	deformable	deformable	ADJ
fcis-15813	7	15	convolution	convolution	NOUN
fcis-15813	7	16	v2	v2	PROPN
fcis-15813	7	17	(	(	PUNCT
fcis-15813	7	18	dcnv2	dcnv2	PROPN
fcis-15813	7	19	)	)	PUNCT
fcis-15813	7	20	to	to	PART
fcis-15813	7	21	enhance	enhance	VERB
fcis-15813	7	22	feature	feature	NOUN
fcis-15813	7	23	extraction	extraction	NOUN
fcis-15813	7	24	for	for	ADP
fcis-15813	7	25	precision	precision	NOUN
fcis-15813	7	26	-	-	PUNCT
fcis-15813	7	27	shaped	shape	VERB
fcis-15813	7	28	parts	part	NOUN
fcis-15813	7	29	.	.	PUNCT
fcis-15813	8	1	we	we	PRON
fcis-15813	8	2	conduct	conduct	VERB
fcis-15813	8	3	comparative	comparative	ADJ
fcis-15813	8	4	experiments	experiment	NOUN
fcis-15813	8	5	on	on	ADP
fcis-15813	8	6	a	a	DET
fcis-15813	8	7	self	self	NOUN
fcis-15813	8	8	-	-	PUNCT
fcis-15813	8	9	made	make	VERB
fcis-15813	8	10	dataset	dataset	NOUN
fcis-15813	8	11	of	of	ADP
fcis-15813	8	12	precision	precision	NOUN
fcis-15813	8	13	-	-	PUNCT
fcis-15813	8	14	shaped	shape	VERB
fcis-15813	8	15	parts	part	NOUN
fcis-15813	8	16	.	.	PUNCT
fcis-15813	9	1	the	the	DET
fcis-15813	9	2	experimental	experimental	ADJ
fcis-15813	9	3	results	result	NOUN
fcis-15813	9	4	demonstrate	demonstrate	VERB
fcis-15813	9	5	that	that	SCONJ
fcis-15813	9	6	our	our	PRON
fcis-15813	9	7	improved	improved	ADJ
fcis-15813	9	8	algorithm	algorithm	NOUN
fcis-15813	9	9	reduces	reduce	VERB
fcis-15813	9	10	parameters	parameter	NOUN
fcis-15813	9	11	by	by	ADP
fcis-15813	9	12	13.7	13.7	NUM
fcis-15813	9	13	%	%	NOUN
fcis-15813	9	14	and	and	CCONJ
fcis-15813	9	15	model	model	NOUN
fcis-15813	9	16	size	size	NOUN
fcis-15813	9	17	by	by	ADP
fcis-15813	9	18	12.5	12.5	NUM
fcis-15813	9	19	%	%	NOUN
fcis-15813	9	20	compared	compare	VERB
fcis-15813	9	21	to	to	ADP
fcis-15813	9	22	the	the	DET
fcis-15813	9	23	original	original	ADJ
fcis-15813	9	24	yolov5s	yolov5s	PROPN
fcis-15813	9	25	algorithm	algorithm	NOUN
fcis-15813	9	26	,	,	PUNCT
fcis-15813	9	27	while	while	SCONJ
fcis-15813	9	28	achieving	achieve	VERB
fcis-15813	9	29	a	a	DET
fcis-15813	9	30	1.4	1.4	NUM
fcis-15813	9	31	%	%	NOUN
fcis-15813	9	32	increase	increase	NOUN
fcis-15813	9	33	in	in	ADP
fcis-15813	9	34	detection	detection	NOUN
fcis-15813	9	35	accuracy	accuracy	NOUN
fcis-15813	9	36	.	.	PUNCT
fcis-15813	10	1	the	the	DET
fcis-15813	10	2	proposed	propose	VERB
fcis-15813	10	3	algorithm	algorithm	NOUN
fcis-15813	10	4	accurately	accurately	ADV
fcis-15813	10	5	identifies	identify	VERB
fcis-15813	10	6	and	and	CCONJ
fcis-15813	10	7	classifies	classify	VERB
fcis-15813	10	8	precision	precision	NOUN
fcis-15813	10	9	-	-	PUNCT
fcis-15813	10	10	shaped	shape	VERB
fcis-15813	10	11	machining	machining	NOUN
fcis-15813	10	12	parts	part	NOUN
fcis-15813	10	13	,	,	PUNCT
fcis-15813	10	14	providing	provide	VERB
fcis-15813	10	15	valuable	valuable	ADJ
fcis-15813	10	16	technical	technical	ADJ
fcis-15813	10	17	support	support	NOUN
fcis-15813	10	18	for	for	ADP
fcis-15813	10	19	subsequent	subsequent	ADJ
fcis-15813	10	20	intelligent	intelligent	ADJ
fcis-15813	10	21	production	production	NOUN
fcis-15813	10	22	.	.	PUNCT
fcis-15813	11	1	keywords	keyword	NOUN
fcis-15813	11	2	:	:	PUNCT
fcis-15813	11	3	target	target	VERB
fcis-15813	11	4	identification	identification	NOUN
fcis-15813	11	5	;	;	PUNCT
fcis-15813	11	6	yolov5	yolov5	NOUN
fcis-15813	11	7	;	;	PUNCT
fcis-15813	11	8	lightweighting	lightweighte	VERB
fcis-15813	11	9	;	;	PUNCT
fcis-15813	11	10	irregular	irregular	ADJ
fcis-15813	11	11	-	-	PUNCT
fcis-15813	11	12	shaped	shape	VERB
fcis-15813	11	13	parts	part	NOUN
fcis-15813	11	14	;	;	PUNCT
fcis-15813	11	15	dcnv2	dcnv2	PROPN
fcis-15813	11	16	.	.	PUNCT
fcis-15813	12	1	1	1	X
fcis-15813	12	2	.	.	X
fcis-15813	12	3	introduction	introduction	NOUN
fcis-15813	12	4	many	many	ADJ
fcis-15813	12	5	high	high	ADJ
fcis-15813	12	6	-	-	PUNCT
fcis-15813	12	7	precision	precision	NOUN
fcis-15813	12	8	equipment	equipment	NOUN
fcis-15813	12	9	companies	company	NOUN
fcis-15813	12	10	specialize	specialize	VERB
fcis-15813	12	11	in	in	ADP
fcis-15813	12	12	customized	customized	ADJ
fcis-15813	12	13	products	product	NOUN
fcis-15813	12	14	due	due	ADJ
fcis-15813	12	15	to	to	ADP
fcis-15813	12	16	rapid	rapid	ADJ
fcis-15813	12	17	technological	technological	ADJ
fcis-15813	12	18	advancements	advancement	NOUN
fcis-15813	12	19	.	.	PUNCT
fcis-15813	13	1	these	these	DET
fcis-15813	13	2	products	product	NOUN
fcis-15813	13	3	exhibit	exhibit	VERB
fcis-15813	13	4	diverse	diverse	ADJ
fcis-15813	13	5	varieties	variety	NOUN
fcis-15813	13	6	,	,	PUNCT
fcis-15813	13	7	small	small	ADJ
fcis-15813	13	8	batch	batch	NOUN
fcis-15813	13	9	sizes	size	NOUN
fcis-15813	13	10	,	,	PUNCT
fcis-15813	13	11	numerous	numerous	ADJ
fcis-15813	13	12	components	component	NOUN
fcis-15813	13	13	,	,	PUNCT
fcis-15813	13	14	complex	complex	ADJ
fcis-15813	13	15	production	production	NOUN
fcis-15813	13	16	processes	process	NOUN
fcis-15813	13	17	,	,	PUNCT
fcis-15813	13	18	and	and	CCONJ
fcis-15813	13	19	the	the	DET
fcis-15813	13	20	integration	integration	NOUN
fcis-15813	13	21	of	of	ADP
fcis-15813	13	22	production	production	NOUN
fcis-15813	13	23	and	and	CCONJ
fcis-15813	13	24	research	research	NOUN
fcis-15813	13	25	and	and	CCONJ
fcis-15813	13	26	development	development	NOUN
fcis-15813	13	27	aspects	aspect	NOUN
fcis-15813	13	28	.	.	PUNCT
fcis-15813	14	1	these	these	DET
fcis-15813	14	2	characteristics	characteristic	NOUN
fcis-15813	14	3	heighten	heighten	VERB
fcis-15813	14	4	production	production	NOUN
fcis-15813	14	5	challenges	challenge	NOUN
fcis-15813	14	6	and	and	CCONJ
fcis-15813	14	7	significantly	significantly	ADV
fcis-15813	14	8	influence	influence	VERB
fcis-15813	14	9	the	the	DET
fcis-15813	14	10	stability	stability	NOUN
fcis-15813	14	11	,	,	PUNCT
fcis-15813	14	12	continuity	continuity	NOUN
fcis-15813	14	13	,	,	PUNCT
fcis-15813	14	14	and	and	CCONJ
fcis-15813	14	15	efficiency	efficiency	NOUN
fcis-15813	14	16	of	of	ADP
fcis-15813	14	17	the	the	DET
fcis-15813	14	18	manufacturing	manufacturing	NOUN
fcis-15813	14	19	system	system	NOUN
fcis-15813	14	20	.	.	PUNCT
fcis-15813	15	1	furthermore	furthermore	ADV
fcis-15813	15	2	,	,	PUNCT
fcis-15813	15	3	the	the	DET
fcis-15813	15	4	need	need	NOUN
fcis-15813	15	5	for	for	ADP
fcis-15813	15	6	higher	high	ADJ
fcis-15813	15	7	production	production	NOUN
fcis-15813	15	8	efficiency	efficiency	NOUN
fcis-15813	15	9	and	and	CCONJ
fcis-15813	15	10	quality	quality	NOUN
fcis-15813	15	11	has	have	AUX
fcis-15813	15	12	prompted	prompt	VERB
fcis-15813	15	13	increased	increase	VERB
fcis-15813	15	14	demands	demand	NOUN
fcis-15813	15	15	on	on	ADP
fcis-15813	15	16	prevailing	prevail	VERB
fcis-15813	15	17	production	production	NOUN
fcis-15813	15	18	methods	method	NOUN
fcis-15813	15	19	.	.	PUNCT
fcis-15813	16	1	currently	currently	ADV
fcis-15813	16	2	,	,	PUNCT
fcis-15813	16	3	component	component	NOUN
fcis-15813	16	4	identification	identification	NOUN
fcis-15813	16	5	methods	method	NOUN
fcis-15813	16	6	mainly	mainly	ADV
fcis-15813	16	7	consist	consist	VERB
fcis-15813	16	8	of	of	ADP
fcis-15813	16	9	traditional	traditional	ADJ
fcis-15813	16	10	machine	machine	NOUN
fcis-15813	16	11	methods	method	NOUN
fcis-15813	16	12	and	and	CCONJ
fcis-15813	16	13	deep	deep	ADJ
fcis-15813	16	14	convolutional	convolutional	ADJ
fcis-15813	16	15	neural	neural	ADJ
fcis-15813	16	16	network	network	NOUN
fcis-15813	16	17	object	object	NOUN
fcis-15813	16	18	detection	detection	NOUN
fcis-15813	16	19	methods	method	NOUN
fcis-15813	16	20	.	.	PUNCT
fcis-15813	17	1	template	template	NOUN
fcis-15813	17	2	matching	matching	NOUN
fcis-15813	17	3	is	be	AUX
fcis-15813	17	4	a	a	DET
fcis-15813	17	5	classic	classic	ADJ
fcis-15813	17	6	method	method	NOUN
fcis-15813	17	7	for	for	ADP
fcis-15813	17	8	identification	identification	NOUN
fcis-15813	17	9	and	and	CCONJ
fcis-15813	17	10	localization	localization	NOUN
fcis-15813	17	11	among	among	ADP
fcis-15813	17	12	various	various	ADJ
fcis-15813	17	13	object	object	NOUN
fcis-15813	17	14	recognition	recognition	NOUN
fcis-15813	17	15	methods	method	NOUN
fcis-15813	17	16	[	[	X
fcis-15813	17	17	1][2][3	1][2][3	NUM
fcis-15813	17	18	]	]	PUNCT
fcis-15813	17	19	.	.	PUNCT
fcis-15813	18	1	however	however	ADV
fcis-15813	18	2	,	,	PUNCT
fcis-15813	18	3	industrial	industrial	ADJ
fcis-15813	18	4	component	component	NOUN
fcis-15813	18	5	recognition	recognition	NOUN
fcis-15813	18	6	algorithms	algorithm	NOUN
fcis-15813	18	7	based	base	VERB
fcis-15813	18	8	on	on	ADP
fcis-15813	18	9	features	feature	NOUN
fcis-15813	18	10	and	and	CCONJ
fcis-15813	18	11	fused	fuse	VERB
fcis-15813	18	12	features	feature	NOUN
fcis-15813	18	13	focus	focus	VERB
fcis-15813	18	14	on	on	ADP
fcis-15813	18	15	the	the	DET
fcis-15813	18	16	characteristics	characteristic	NOUN
fcis-15813	18	17	of	of	ADP
fcis-15813	18	18	the	the	DET
fcis-15813	18	19	target	target	NOUN
fcis-15813	18	20	to	to	PART
fcis-15813	18	21	be	be	AUX
fcis-15813	18	22	tested	test	VERB
fcis-15813	18	23	.	.	PUNCT
fcis-15813	19	1	they	they	PRON
fcis-15813	19	2	have	have	VERB
fcis-15813	19	3	high	high	ADJ
fcis-15813	19	4	requirements	requirement	NOUN
fcis-15813	19	5	for	for	ADP
fcis-15813	19	6	the	the	DET
fcis-15813	19	7	size	size	NOUN
fcis-15813	19	8	and	and	CCONJ
fcis-15813	19	9	angle	angle	NOUN
fcis-15813	19	10	of	of	ADP
fcis-15813	19	11	the	the	DET
fcis-15813	19	12	component	component	NOUN
fcis-15813	19	13	.	.	PUNCT
fcis-15813	20	1	these	these	DET
fcis-15813	20	2	algorithms	algorithm	NOUN
fcis-15813	20	3	can	can	AUX
fcis-15813	20	4	not	not	PART
fcis-15813	20	5	meet	meet	VERB
fcis-15813	20	6	the	the	DET
fcis-15813	20	7	real	real	ADJ
fcis-15813	20	8	-	-	PUNCT
fcis-15813	20	9	time	time	NOUN
fcis-15813	20	10	and	and	CCONJ
fcis-15813	20	11	accurate	accurate	ADJ
fcis-15813	20	12	identification	identification	NOUN
fcis-15813	20	13	and	and	CCONJ
fcis-15813	20	14	positioning	positioning	NOUN
fcis-15813	20	15	requirements	requirement	NOUN
fcis-15813	20	16	of	of	ADP
fcis-15813	20	17	precise	precise	ADJ
fcis-15813	20	18	and	and	CCONJ
fcis-15813	20	19	complex	complex	ADV
fcis-15813	20	20	-	-	PUNCT
fcis-15813	20	21	shaped	shape	VERB
fcis-15813	20	22	components	component	NOUN
fcis-15813	20	23	in	in	ADP
fcis-15813	20	24	relatively	relatively	ADV
fcis-15813	20	25	complex	complex	ADJ
fcis-15813	20	26	environments	environment	NOUN
fcis-15813	20	27	.	.	PUNCT
fcis-15813	21	1	furthermore	furthermore	ADV
fcis-15813	21	2	,	,	PUNCT
fcis-15813	21	3	in	in	ADP
fcis-15813	21	4	the	the	DET
fcis-15813	21	5	process	process	NOUN
fcis-15813	21	6	of	of	ADP
fcis-15813	21	7	detecting	detect	VERB
fcis-15813	21	8	images	image	NOUN
fcis-15813	21	9	,	,	PUNCT
fcis-15813	21	10	the	the	DET
fcis-15813	21	11	image	image	NOUN
fcis-15813	21	12	undergoes	undergo	VERB
fcis-15813	21	13	preprocessing	preprocesse	VERB
fcis-15813	21	14	before	before	ADP
fcis-15813	21	15	template	template	NOUN
fcis-15813	21	16	matching	matching	NOUN
fcis-15813	21	17	is	be	AUX
fcis-15813	21	18	performed	perform	VERB
fcis-15813	21	19	,	,	PUNCT
fcis-15813	21	20	which	which	PRON
fcis-15813	21	21	leads	lead	VERB
fcis-15813	21	22	to	to	ADP
fcis-15813	21	23	poor	poor	ADJ
fcis-15813	21	24	real	real	ADJ
fcis-15813	21	25	-	-	PUNCT
fcis-15813	21	26	time	time	NOUN
fcis-15813	21	27	performance	performance	NOUN
fcis-15813	21	28	and	and	CCONJ
fcis-15813	21	29	limited	limited	ADJ
fcis-15813	21	30	detection	detection	NOUN
fcis-15813	21	31	target	target	NOUN
fcis-15813	21	32	types	type	NOUN
fcis-15813	21	33	.	.	PUNCT
fcis-15813	22	1	the	the	DET
fcis-15813	22	2	above	above	ADJ
fcis-15813	22	3	methods	method	NOUN
fcis-15813	22	4	usually	usually	ADV
fcis-15813	22	5	encounter	encounter	VERB
fcis-15813	22	6	difficulties	difficulty	NOUN
fcis-15813	22	7	in	in	ADP
fcis-15813	22	8	extracting	extract	VERB
fcis-15813	22	9	feature	feature	NOUN
fcis-15813	22	10	information	information	NOUN
fcis-15813	22	11	and	and	CCONJ
fcis-15813	22	12	recognition	recognition	NOUN
fcis-15813	22	13	for	for	ADP
fcis-15813	22	14	components	component	NOUN
fcis-15813	22	15	with	with	ADP
fcis-15813	22	16	complex	complex	ADJ
fcis-15813	22	17	structures	structure	NOUN
fcis-15813	22	18	and	and	CCONJ
fcis-15813	22	19	similar	similar	ADJ
fcis-15813	22	20	appearances	appearance	NOUN
fcis-15813	22	21	.	.	PUNCT
fcis-15813	23	1	object	object	NOUN
fcis-15813	23	2	detection	detection	NOUN
fcis-15813	23	3	algorithms	algorithm	NOUN
fcis-15813	23	4	based	base	VERB
fcis-15813	23	5	on	on	ADP
fcis-15813	23	6	convolutional	convolutional	ADJ
fcis-15813	23	7	neural	neural	ADJ
fcis-15813	23	8	networks	network	NOUN
fcis-15813	23	9	are	be	AUX
fcis-15813	23	10	superior	superior	ADJ
fcis-15813	23	11	to	to	ADP
fcis-15813	23	12	traditional	traditional	ADJ
fcis-15813	23	13	machine	machine	NOUN
fcis-15813	23	14	vision	vision	NOUN
fcis-15813	23	15	technology	technology	NOUN
fcis-15813	23	16	in	in	ADP
fcis-15813	23	17	terms	term	NOUN
fcis-15813	23	18	of	of	ADP
fcis-15813	23	19	detection	detection	NOUN
fcis-15813	23	20	and	and	CCONJ
fcis-15813	23	21	recognition	recognition	NOUN
fcis-15813	23	22	due	due	ADP
fcis-15813	23	23	to	to	ADP
fcis-15813	23	24	the	the	DET
fcis-15813	23	25	continuous	continuous	ADJ
fcis-15813	23	26	development	development	NOUN
fcis-15813	23	27	of	of	ADP
fcis-15813	23	28	modern	modern	ADJ
fcis-15813	23	29	information	information	NOUN
fcis-15813	23	30	technology	technology	NOUN
fcis-15813	23	31	.	.	PUNCT
fcis-15813	24	1	however	however	ADV
fcis-15813	24	2	,	,	PUNCT
fcis-15813	24	3	in	in	ADP
fcis-15813	24	4	industrial	industrial	ADJ
fcis-15813	24	5	applications	application	NOUN
fcis-15813	24	6	,	,	PUNCT
fcis-15813	24	7	utilizing	utilize	VERB
fcis-15813	24	8	a	a	DET
fcis-15813	24	9	large	large	ADJ
fcis-15813	24	10	number	number	NOUN
fcis-15813	24	11	of	of	ADP
fcis-15813	24	12	high	high	ADJ
fcis-15813	24	13	-	-	PUNCT
fcis-15813	24	14	performance	performance	NOUN
fcis-15813	24	15	computers	computer	NOUN
fcis-15813	24	16	is	be	AUX
fcis-15813	24	17	not	not	PART
fcis-15813	24	18	the	the	DET
fcis-15813	24	19	most	most	ADV
fcis-15813	24	20	economically	economically	ADV
fcis-15813	24	21	effective	effective	ADJ
fcis-15813	24	22	approach	approach	NOUN
fcis-15813	24	23	.	.	PUNCT
fcis-15813	25	1	hence	hence	ADV
fcis-15813	25	2	,	,	PUNCT
fcis-15813	25	3	there	there	PRON
fcis-15813	25	4	is	be	VERB
fcis-15813	25	5	a	a	DET
fcis-15813	25	6	need	need	NOUN
fcis-15813	25	7	for	for	SCONJ
fcis-15813	25	8	more	more	ADV
fcis-15813	25	9	efficient	efficient	ADJ
fcis-15813	25	10	component	component	NOUN
fcis-15813	25	11	recognition	recognition	NOUN
fcis-15813	25	12	methods	method	NOUN
fcis-15813	25	13	to	to	PART
fcis-15813	25	14	enhance	enhance	VERB
fcis-15813	25	15	industrial	industrial	ADJ
fcis-15813	25	16	inspection	inspection	NOUN
fcis-15813	25	17	and	and	CCONJ
fcis-15813	25	18	assembly	assembly	NOUN
fcis-15813	25	19	processes	process	NOUN
fcis-15813	25	20	.	.	PUNCT
fcis-15813	26	1	this	this	DET
fcis-15813	26	2	paper	paper	NOUN
fcis-15813	26	3	introduces	introduce	VERB
fcis-15813	26	4	gd	gd	NOUN
fcis-15813	26	5	-	-	PUNCT
fcis-15813	26	6	yolo	yolo	PROPN
fcis-15813	26	7	,	,	PUNCT
fcis-15813	26	8	an	an	DET
fcis-15813	26	9	improved	improved	ADJ
fcis-15813	26	10	yolov5s	yolov5s	NOUN
fcis-15813	26	11	algorithm	algorithm	NOUN
fcis-15813	26	12	,	,	PUNCT
fcis-15813	26	13	as	as	ADP
fcis-15813	26	14	a	a	DET
fcis-15813	26	15	precise	precise	ADJ
fcis-15813	26	16	detection	detection	NOUN
fcis-15813	26	17	and	and	CCONJ
fcis-15813	26	18	recognition	recognition	NOUN
fcis-15813	26	19	method	method	NOUN
fcis-15813	26	20	for	for	ADP
fcis-15813	26	21	complex	complex	ADJ
fcis-15813	26	22	-	-	PUNCT
fcis-15813	26	23	shaped	shape	VERB
fcis-15813	26	24	parts	part	NOUN
fcis-15813	26	25	.	.	PUNCT
fcis-15813	27	1	it	it	PRON
fcis-15813	27	2	enables	enable	VERB
fcis-15813	27	3	fast	fast	ADJ
fcis-15813	27	4	detection	detection	NOUN
fcis-15813	27	5	and	and	CCONJ
fcis-15813	27	6	recognition	recognition	NOUN
fcis-15813	27	7	of	of	ADP
fcis-15813	27	8	small	small	ADJ
fcis-15813	27	9	parts	part	NOUN
fcis-15813	27	10	with	with	ADP
fcis-15813	27	11	complex	complex	ADJ
fcis-15813	27	12	shapes	shape	NOUN
fcis-15813	27	13	in	in	ADP
fcis-15813	27	14	aerospace	aerospace	NOUN
fcis-15813	27	15	batch	batch	NOUN
fcis-15813	27	16	production	production	NOUN
fcis-15813	27	17	.	.	PUNCT
fcis-15813	28	1	the	the	DET
fcis-15813	28	2	paper	paper	NOUN
fcis-15813	28	3	's	's	PART
fcis-15813	28	4	main	main	ADJ
fcis-15813	28	5	contributions	contribution	NOUN
fcis-15813	28	6	are	be	AUX
fcis-15813	28	7	summarized	summarize	VERB
fcis-15813	28	8	as	as	ADP
fcis-15813	28	9	:	:	PUNCT
fcis-15813	28	10	1	1	X
fcis-15813	28	11	.	.	X
fcis-15813	28	12	replacing	replace	VERB
fcis-15813	28	13	the	the	DET
fcis-15813	28	14	c3	c3	NOUN
fcis-15813	28	15	module	module	NOUN
fcis-15813	28	16	of	of	ADP
fcis-15813	28	17	the	the	DET
fcis-15813	28	18	original	original	ADJ
fcis-15813	28	19	network	network	NOUN
fcis-15813	28	20	model	model	NOUN
fcis-15813	28	21	's	's	PART
fcis-15813	28	22	backbone	backbone	NOUN
fcis-15813	28	23	network	network	NOUN
fcis-15813	28	24	with	with	ADP
fcis-15813	28	25	c3_ghostnet	c3_ghostnet	NOUN
fcis-15813	28	26	,	,	PUNCT
fcis-15813	28	27	which	which	PRON
fcis-15813	28	28	includes	include	VERB
fcis-15813	28	29	ghost	ghost	NOUN
fcis-15813	28	30	,	,	PUNCT
fcis-15813	28	31	both	both	PRON
fcis-15813	28	32	reduces	reduce	VERB
fcis-15813	28	33	the	the	DET
fcis-15813	28	34	complexity	complexity	NOUN
fcis-15813	28	35	of	of	ADP
fcis-15813	28	36	computation	computation	NOUN
fcis-15813	28	37	and	and	CCONJ
fcis-15813	28	38	network	network	NOUN
fcis-15813	28	39	structure	structure	NOUN
fcis-15813	28	40	while	while	SCONJ
fcis-15813	28	41	maintaining	maintain	VERB
fcis-15813	28	42	sufficient	sufficient	ADJ
fcis-15813	28	43	accuracy	accuracy	NOUN
fcis-15813	28	44	.	.	PUNCT
fcis-15813	29	1	2	2	X
fcis-15813	29	2	.	.	X
fcis-15813	29	3	the	the	DET
fcis-15813	29	4	replacement	replacement	NOUN
fcis-15813	29	5	of	of	ADP
fcis-15813	29	6	convolution	convolution	NOUN
fcis-15813	29	7	in	in	ADP
fcis-15813	29	8	the	the	DET
fcis-15813	29	9	c3	c3	NOUN
fcis-15813	29	10	module	module	NOUN
fcis-15813	29	11	of	of	ADP
fcis-15813	29	12	the	the	DET
fcis-15813	29	13	neck	neck	NOUN
fcis-15813	29	14	network	network	NOUN
fcis-15813	29	15	part	part	NOUN
fcis-15813	29	16	of	of	ADP
fcis-15813	29	17	the	the	DET
fcis-15813	29	18	original	original	ADJ
fcis-15813	29	19	network	network	NOUN
fcis-15813	29	20	model	model	NOUN
fcis-15813	29	21	with	with	ADP
fcis-15813	29	22	dcnv2	dcnv2	PROPN
fcis-15813	29	23	,	,	PUNCT
fcis-15813	29	24	named	name	VERB
fcis-15813	29	25	c3_dcnv2	c3_dcnv2	PROPN
fcis-15813	29	26	,	,	PUNCT
fcis-15813	29	27	enhances	enhance	VERB
fcis-15813	29	28	feature	feature	NOUN
fcis-15813	29	29	extraction	extraction	NOUN
fcis-15813	29	30	to	to	PART
fcis-15813	29	31	accommodate	accommodate	VERB
fcis-15813	29	32	features	feature	NOUN
fcis-15813	29	33	of	of	ADP
fcis-15813	29	34	varying	vary	VERB
fcis-15813	29	35	sizes	size	NOUN
fcis-15813	29	36	and	and	CCONJ
fcis-15813	29	37	shapes	shape	NOUN
fcis-15813	29	38	,	,	PUNCT
fcis-15813	29	39	thereby	thereby	ADV
fcis-15813	29	40	improving	improve	VERB
fcis-15813	29	41	detection	detection	NOUN
fcis-15813	29	42	accuracy	accuracy	NOUN
fcis-15813	29	43	.	.	PUNCT
fcis-15813	30	1	2	2	X
fcis-15813	30	2	.	.	X
fcis-15813	30	3	improve	improve	VERB
fcis-15813	30	4	the	the	DET
fcis-15813	30	5	yolo	yolo	ADJ
fcis-15813	30	6	algorithm	algorithm	NOUN
fcis-15813	30	7	the	the	DET
fcis-15813	30	8	primary	primary	ADJ
fcis-15813	30	9	focus	focus	NOUN
fcis-15813	30	10	of	of	ADP
fcis-15813	30	11	this	this	DET
fcis-15813	30	12	article	article	NOUN
fcis-15813	30	13	is	be	AUX
fcis-15813	30	14	to	to	PART
fcis-15813	30	15	improve	improve	VERB
fcis-15813	30	16	the	the	DET
fcis-15813	30	17	original	original	ADJ
fcis-15813	30	18	algorithm	algorithm	NOUN
fcis-15813	30	19	model	model	NOUN
fcis-15813	30	20	based	base	VERB
fcis-15813	30	21	on	on	ADP
fcis-15813	30	22	yolov5s	yolov5s	PROPN
fcis-15813	30	23	.	.	PUNCT
fcis-15813	31	1	the	the	DET
fcis-15813	31	2	ghostnetv2	ghostnetv2	NOUN
fcis-15813	31	3	and	and	CCONJ
fcis-15813	31	4	c3	c3	PROPN
fcis-15813	31	5	modules	module	NOUN
fcis-15813	31	6	are	be	AUX
fcis-15813	31	7	combined	combine	VERB
fcis-15813	31	8	in	in	ADP
fcis-15813	31	9	the	the	DET
fcis-15813	31	10	backbone	backbone	NOUN
fcis-15813	31	11	network	network	NOUN
fcis-15813	31	12	,	,	PUNCT
fcis-15813	31	13	resulting	result	VERB
fcis-15813	31	14	in	in	ADP
fcis-15813	31	15	the	the	DET
fcis-15813	31	16	c3_ghostnetv2	c3_ghostnetv2	PROPN
fcis-15813	31	17	module	module	NOUN
fcis-15813	31	18	.	.	PUNCT
fcis-15813	32	1	this	this	DET
fcis-15813	32	2	module	module	NOUN
fcis-15813	32	3	reduces	reduce	VERB
fcis-15813	32	4	the	the	DET
fcis-15813	32	5	network	network	NOUN
fcis-15813	32	6	's	's	PART
fcis-15813	32	7	weight	weight	NOUN
fcis-15813	32	8	,	,	PUNCT
fcis-15813	32	9	decreases	decrease	VERB
fcis-15813	32	10	the	the	DET
fcis-15813	32	11	number	number	NOUN
fcis-15813	32	12	of	of	ADP
fcis-15813	32	13	network	network	NOUN
fcis-15813	32	14	parameters	parameter	NOUN
fcis-15813	32	15	,	,	PUNCT
fcis-15813	32	16	and	and	CCONJ
fcis-15813	32	17	enhances	enhance	VERB
fcis-15813	32	18	detection	detection	NOUN
fcis-15813	32	19	speed	speed	NOUN
fcis-15813	32	20	.	.	PUNCT
fcis-15813	33	1	the	the	DET
fcis-15813	33	2	deformable	deformable	ADJ
fcis-15813	33	3	convolution	convolution	NOUN
fcis-15813	33	4	dcnv2	dcnv2	NOUN
fcis-15813	33	5	replaces	replace	VERB
fcis-15813	33	6	the	the	DET
fcis-15813	33	7	convolution	convolution	NOUN
fcis-15813	33	8	block	block	NOUN
fcis-15813	33	9	in	in	ADP
fcis-15813	33	10	the	the	DET
fcis-15813	33	11	c3	c3	NOUN
fcis-15813	33	12	module	module	NOUN
fcis-15813	33	13	of	of	ADP
fcis-15813	33	14	the	the	DET
fcis-15813	33	15	neck	neck	NOUN
fcis-15813	33	16	network	network	NOUN
fcis-15813	33	17	.	.	PUNCT
fcis-15813	34	1	this	this	DET
fcis-15813	34	2	enhancement	enhancement	NOUN
fcis-15813	34	3	improves	improve	VERB
fcis-15813	34	4	the	the	DET
fcis-15813	34	5	model	model	NOUN
fcis-15813	34	6	's	's	PART
fcis-15813	34	7	capability	capability	NOUN
fcis-15813	34	8	to	to	PART
fcis-15813	34	9	extract	extract	VERB
fcis-15813	34	10	features	feature	NOUN
fcis-15813	34	11	from	from	ADP
fcis-15813	34	12	irregular	irregular	ADJ
fcis-15813	34	13	parts	part	NOUN
fcis-15813	34	14	,	,	PUNCT
fcis-15813	34	15	resulting	result	VERB
fcis-15813	34	16	in	in	ADP
fcis-15813	34	17	improved	improved	ADJ
fcis-15813	34	18	detection	detection	NOUN
fcis-15813	34	19	accuracy	accuracy	NOUN
fcis-15813	34	20	.	.	PUNCT
fcis-15813	35	1	the	the	DET
fcis-15813	35	2	upgraded	upgrade	VERB
fcis-15813	35	3	76	76	NUM
fcis-15813	35	4	network	network	NOUN
fcis-15813	35	5	model	model	NOUN
fcis-15813	35	6	is	be	AUX
fcis-15813	35	7	depicted	depict	VERB
fcis-15813	35	8	in	in	ADP
fcis-15813	35	9	figure	figure	NOUN
fcis-15813	35	10	1	1	NUM
fcis-15813	35	11	below	below	ADV
fcis-15813	35	12	.	.	PUNCT
fcis-15813	36	1	80	80	NUM
fcis-15813	37	1	*	*	SYM
fcis-15813	37	2	80	80	NUM
fcis-15813	37	3	*	*	NUM
fcis-15813	38	1	256	256	NUM
fcis-15813	38	2	20	20	NUM
fcis-15813	38	3	*	*	SYM
fcis-15813	38	4	20	20	NUM
fcis-15813	38	5	*	*	SYM
fcis-15813	38	6	102440	102440	NUM
fcis-15813	38	7	*	*	SYM
fcis-15813	38	8	40	40	NUM
fcis-15813	38	9	*	*	SYM
fcis-15813	38	10	512	512	NUM
fcis-15813	38	11	3.head	3.head	NUM
fcis-15813	38	12	cbsupsampleconcatc3_dcnv2cbsupsampleconcatc3_dcnv2	cbsupsampleconcatc3_dcnv2cbsupsampleconcatc3_dcnv2	PROPN
fcis-15813	38	13	cbs	cbs	PROPN
fcis-15813	38	14	concat	concat	NOUN
fcis-15813	38	15	c3_dcnv2	c3_dcnv2	PROPN
fcis-15813	38	16	cbs	cbs	PROPN
fcis-15813	38	17	concat	concat	NOUN
fcis-15813	39	1	c3_dcnv2	c3_dcnv2	PROPN
fcis-15813	39	2	2.neck	2.neck	NUM
fcis-15813	40	1	cbs	cbs	PROPN
fcis-15813	40	2	cbs	cbs	PROPN
fcis-15813	41	1	c3_ghostnetv2	c3_ghostnetv2	PROPN
fcis-15813	41	2	*	*	PROPN
fcis-15813	41	3	3	3	NUM
fcis-15813	41	4	cbs	cbs	PROPN
fcis-15813	41	5	c3_ghostnetv2	c3_ghostnetv2	PROPN
fcis-15813	41	6	*	*	PROPN
fcis-15813	41	7	6	6	NUM
fcis-15813	41	8	cbs	cbs	PROPN
fcis-15813	41	9	c3_ghostnetv2	c3_ghostnetv2	PROPN
fcis-15813	41	10	*	*	PROPN
fcis-15813	41	11	9	9	NUM
fcis-15813	41	12	cbs	cbs	PROPN
fcis-15813	41	13	c3_ghostnetv2	c3_ghostnetv2	PROPN
fcis-15813	41	14	*	*	SYM
fcis-15813	41	15	3	3	NUM
fcis-15813	41	16	sppf	sppf	PROPN
fcis-15813	41	17	1.backbone	1.backbone	NUM
fcis-15813	41	18	cbs	cbs	PROPN
fcis-15813	41	19	conv	conv	PROPN
fcis-15813	41	20	bn	bn	PROPN
fcis-15813	41	21	silu	silu	VERB
fcis-15813	41	22	c3_dcnv2	c3_dcnv2	PROPN
fcis-15813	41	23	cbs	cbs	PROPN
fcis-15813	42	1	cbs	cbs	PROPN
fcis-15813	42	2	dcnv2	dcnv2	PROPN
fcis-15813	43	1	cbs	cbs	PROPN
fcis-15813	43	2	cbs	cbs	PROPN
fcis-15813	43	3	concat	concat	PROPN
fcis-15813	43	4	sppf	sppf	PROPN
fcis-15813	43	5	cbs	cbs	PROPN
fcis-15813	44	1	maxpool	maxpool	PROPN
fcis-15813	44	2	maxpool	maxpool	PROPN
fcis-15813	44	3	maxpool	maxpool	PROPN
fcis-15813	44	4	concat	concat	PROPN
fcis-15813	45	1	cbs	cbs	PROPN
fcis-15813	45	2	c3_ghostnetv2	c3_ghostnetv2	PROPN
fcis-15813	45	3	cbs	cbs	PROPN
fcis-15813	45	4	ghostbottl	ghostbottl	PROPN
fcis-15813	45	5	eneckv2	eneckv2	PROPN
fcis-15813	46	1	concat	concat	PROPN
fcis-15813	46	2	cbs	cbs	PROPN
fcis-15813	46	3	cbs	cbs	PROPN
fcis-15813	46	4	figure	figure	VERB
fcis-15813	46	5	1	1	NUM
fcis-15813	46	6	.	.	PUNCT
fcis-15813	47	1	the	the	DET
fcis-15813	47	2	yolov5s	yolov5s	PROPN
fcis-15813	47	3	network	network	NOUN
fcis-15813	47	4	has	have	AUX
fcis-15813	47	5	been	be	AUX
fcis-15813	47	6	enhanced	enhance	VERB
fcis-15813	47	7	2.1	2.1	NUM
fcis-15813	47	8	.	.	PUNCT
fcis-15813	48	1	c3_ghostnetv2	c3_ghostnetv2	PROPN
fcis-15813	48	2	because	because	SCONJ
fcis-15813	48	3	of	of	ADP
fcis-15813	48	4	the	the	DET
fcis-15813	48	5	constraints	constraint	NOUN
fcis-15813	48	6	inherent	inherent	ADJ
fcis-15813	48	7	in	in	ADP
fcis-15813	48	8	current	current	ADJ
fcis-15813	48	9	embedded	embed	VERB
fcis-15813	48	10	devices	device	NOUN
fcis-15813	48	11	,	,	PUNCT
fcis-15813	48	12	applying	apply	VERB
fcis-15813	48	13	large	large	ADJ
fcis-15813	48	14	models	model	NOUN
fcis-15813	48	15	to	to	ADP
fcis-15813	48	16	actual	actual	ADJ
fcis-15813	48	17	industrial	industrial	ADJ
fcis-15813	48	18	production	production	NOUN
fcis-15813	48	19	is	be	AUX
fcis-15813	48	20	challenging	challenging	ADJ
fcis-15813	48	21	.	.	PUNCT
fcis-15813	49	1	networks	network	NOUN
fcis-15813	49	2	like	like	ADP
fcis-15813	49	3	mobile	mobile	NOUN
fcis-15813	49	4	net	net	NOUN
fcis-15813	49	5	and	and	CCONJ
fcis-15813	49	6	shuffle	shuffle	ADJ
fcis-15813	49	7	net	net	ADJ
fcis-15813	49	8	employ	employ	NOUN
fcis-15813	49	9	depth	depth	NOUN
fcis-15813	49	10	wise	wise	ADJ
fcis-15813	49	11	separable	separable	ADJ
fcis-15813	49	12	convolution	convolution	NOUN
fcis-15813	49	13	or	or	CCONJ
fcis-15813	49	14	shuffle	shuffle	NOUN
fcis-15813	49	15	operations	operation	NOUN
fcis-15813	49	16	to	to	PART
fcis-15813	49	17	decrease	decrease	VERB
fcis-15813	49	18	model	model	NOUN
fcis-15813	49	19	parameters	parameter	NOUN
fcis-15813	49	20	and	and	CCONJ
fcis-15813	49	21	computational	computational	ADJ
fcis-15813	49	22	complexity	complexity	NOUN
fcis-15813	49	23	.	.	PUNCT
fcis-15813	50	1	however	however	ADV
fcis-15813	50	2	,	,	PUNCT
fcis-15813	50	3	these	these	DET
fcis-15813	50	4	networks	network	NOUN
fcis-15813	50	5	still	still	ADV
fcis-15813	50	6	employ	employ	VERB
fcis-15813	50	7	numerous	numerous	ADJ
fcis-15813	50	8	dense	dense	ADJ
fcis-15813	50	9	1x1	1x1	NUM
fcis-15813	50	10	convolution	convolution	NOUN
fcis-15813	50	11	operations	operation	NOUN
fcis-15813	50	12	for	for	ADP
fcis-15813	50	13	transforming	transform	VERB
fcis-15813	50	14	dimensions	dimension	NOUN
fcis-15813	50	15	or	or	CCONJ
fcis-15813	50	16	fusing	fuse	VERB
fcis-15813	50	17	information	information	NOUN
fcis-15813	50	18	,	,	PUNCT
fcis-15813	50	19	which	which	PRON
fcis-15813	50	20	can	can	AUX
fcis-15813	50	21	use	use	VERB
fcis-15813	50	22	substantial	substantial	ADJ
fcis-15813	50	23	computational	computational	ADJ
fcis-15813	50	24	resources	resource	NOUN
fcis-15813	50	25	.	.	PUNCT
fcis-15813	51	1	in	in	ADP
fcis-15813	51	2	contrast	contrast	NOUN
fcis-15813	51	3	,	,	PUNCT
fcis-15813	51	4	the	the	DET
fcis-15813	51	5	ghost	ghost	NOUN
fcis-15813	51	6	module	module	NOUN
fcis-15813	51	7	initiates	initiate	VERB
fcis-15813	51	8	feature	feature	NOUN
fcis-15813	51	9	generation	generation	NOUN
fcis-15813	51	10	via	via	ADP
fcis-15813	51	11	ordinary	ordinary	ADJ
fcis-15813	51	12	convolution	convolution	NOUN
fcis-15813	51	13	and	and	CCONJ
fcis-15813	51	14	subsequently	subsequently	ADV
fcis-15813	51	15	augments	augment	VERB
fcis-15813	51	16	the	the	DET
fcis-15813	51	17	features	feature	NOUN
fcis-15813	51	18	and	and	CCONJ
fcis-15813	51	19	channels	channel	NOUN
fcis-15813	51	20	using	use	VERB
fcis-15813	51	21	simple	simple	ADJ
fcis-15813	51	22	linear	linear	ADJ
fcis-15813	51	23	operations	operation	NOUN
fcis-15813	51	24	.	.	PUNCT
fcis-15813	52	1	ultimately	ultimately	ADV
fcis-15813	52	2	,	,	PUNCT
fcis-15813	52	3	the	the	DET
fcis-15813	52	4	augmented	augment	VERB
fcis-15813	52	5	features	feature	NOUN
fcis-15813	52	6	are	be	AUX
fcis-15813	52	7	joined	join	VERB
fcis-15813	52	8	with	with	ADP
fcis-15813	52	9	the	the	DET
fcis-15813	52	10	initial	initial	ADJ
fcis-15813	52	11	convolution	convolution	NOUN
fcis-15813	52	12	-	-	PUNCT
fcis-15813	52	13	generated	generate	VERB
fcis-15813	52	14	features	feature	NOUN
fcis-15813	52	15	to	to	PART
fcis-15813	52	16	form	form	VERB
fcis-15813	52	17	the	the	DET
fcis-15813	52	18	output	output	NOUN
fcis-15813	52	19	,	,	PUNCT
fcis-15813	52	20	resulting	result	VERB
fcis-15813	52	21	in	in	ADP
fcis-15813	52	22	reduced	reduced	ADJ
fcis-15813	52	23	model	model	NOUN
fcis-15813	52	24	parameters	parameter	NOUN
fcis-15813	52	25	and	and	CCONJ
fcis-15813	52	26	improved	improved	ADJ
fcis-15813	52	27	detection	detection	NOUN
fcis-15813	52	28	speed	speed	NOUN
fcis-15813	52	29	.	.	PUNCT
fcis-15813	53	1	the	the	DET
fcis-15813	53	2	formula	formula	NOUN
fcis-15813	53	3	for	for	ADP
fcis-15813	53	4	the	the	DET
fcis-15813	53	5	initial	initial	ADJ
fcis-15813	53	6	set	set	NOUN
fcis-15813	53	7	of	of	ADP
fcis-15813	53	8	generated	generate	VERB
fcis-15813	53	9	feature	feature	NOUN
fcis-15813	53	10	maps	map	NOUN
fcis-15813	53	11	is	be	AUX
fcis-15813	53	12	as	as	SCONJ
fcis-15813	53	13	follows	follow	VERB
fcis-15813	53	14	:	:	PUNCT
fcis-15813	53	15	*	*	PUNCT
fcis-15813	53	16	y	y	NOUN
fcis-15813	53	17	x	x	X
fcis-15813	53	18	f	f	X
fcis-15813	53	19	(	(	PUNCT
fcis-15813	53	20	1	1	NUM
fcis-15813	53	21	)	)	PUNCT
fcis-15813	53	22	c	c	NOUN
fcis-15813	54	1	h	h	NOUN
fcis-15813	54	2	wx	wx	PROPN
fcis-15813	54	3			PROPN
fcis-15813	54	4			PROPN
fcis-15813	54	5	represents	represent	VERB
fcis-15813	54	6	the	the	DET
fcis-15813	54	7	input	input	NOUN
fcis-15813	54	8	data	datum	NOUN
fcis-15813	54	9	,	,	PUNCT
fcis-15813	54	10	c	c	PROPN
fcis-15813	54	11	represents	represent	VERB
fcis-15813	54	12	the	the	DET
fcis-15813	54	13	number	number	NOUN
fcis-15813	54	14	of	of	ADP
fcis-15813	54	15	input	input	NOUN
fcis-15813	54	16	channels	channel	NOUN
fcis-15813	54	17	,	,	PUNCT
fcis-15813	54	18	and	and	CCONJ
fcis-15813	54	19	h	h	NOUN
fcis-15813	54	20	and	and	CCONJ
fcis-15813	54	21	w	w	AUX
fcis-15813	54	22	represent	represent	VERB
fcis-15813	54	23	the	the	DET
fcis-15813	54	24	height	height	NOUN
fcis-15813	54	25	and	and	CCONJ
fcis-15813	54	26	width	width	NOUN
fcis-15813	54	27	of	of	ADP
fcis-15813	54	28	the	the	DET
fcis-15813	54	29	input	input	NOUN
fcis-15813	54	30	data	datum	NOUN
fcis-15813	54	31	.	.	PUNCT
fcis-15813	54	32	'	'	PUNCT
fcis-15813	55	1	'	'	PUNCT
fcis-15813	55	2	h	h	PROPN
fcis-15813	55	3	w	w	PROPN
fcis-15813	55	4	ny	ny	PROPN
fcis-15813	55	5			PROPN
fcis-15813	55	6			PROPN
fcis-15813	55	7	represents	represent	VERB
fcis-15813	55	8	the	the	DET
fcis-15813	55	9	output	output	NOUN
fcis-15813	55	10	data	datum	NOUN
fcis-15813	55	11	,	,	PUNCT
fcis-15813	55	12	with	with	ADP
fcis-15813	55	13	'	'	PUNCT
fcis-15813	55	14	h	h	NOUN
fcis-15813	55	15	and	and	CCONJ
fcis-15813	55	16	'	'	PUNCT
fcis-15813	55	17	w	w	ADP
fcis-15813	55	18	representing	represent	VERB
fcis-15813	55	19	the	the	DET
fcis-15813	55	20	height	height	NOUN
fcis-15813	55	21	and	and	CCONJ
fcis-15813	55	22	width	width	ADJ
fcis-15813	55	23	,	,	PUNCT
fcis-15813	55	24	and	and	CCONJ
fcis-15813	55	25	n	n	PRON
fcis-15813	55	26	representing	represent	VERB
fcis-15813	55	27	the	the	DET
fcis-15813	55	28	number	number	NOUN
fcis-15813	55	29	of	of	ADP
fcis-15813	55	30	channels	channel	NOUN
fcis-15813	55	31	.	.	PUNCT
fcis-15813	56	1	the	the	DET
fcis-15813	56	2	convolution	convolution	NOUN
fcis-15813	56	3	filter	filter	NOUN
fcis-15813	56	4	is	be	AUX
fcis-15813	56	5	denoted	denote	VERB
fcis-15813	56	6	by	by	ADP
fcis-15813	56	7	c	c	PROPN
fcis-15813	56	8	k	k	PROPN
fcis-15813	56	9	k	k	PROPN
fcis-15813	56	10	nf	nf	INTJ
fcis-15813	56	11			PROPN
fcis-15813	56	12			PROPN
fcis-15813	56	13			PROPN
fcis-15813	56	14	,	,	PUNCT
fcis-15813	56	15	and	and	CCONJ
fcis-15813	56	16	k	k	PROPN
fcis-15813	56	17	represents	represent	VERB
fcis-15813	56	18	the	the	DET
fcis-15813	56	19	size	size	NOUN
fcis-15813	56	20	of	of	ADP
fcis-15813	56	21	the	the	DET
fcis-15813	56	22	kernel	kernel	NOUN
fcis-15813	56	23	.	.	PUNCT
fcis-15813	57	1	the	the	DET
fcis-15813	57	2	generated	generate	VERB
fcis-15813	57	3	set	set	NOUN
fcis-15813	57	4	of	of	ADP
fcis-15813	57	5	feature	feature	NOUN
fcis-15813	57	6	maps	map	NOUN
fcis-15813	57	7	undergoes	undergo	VERB
fcis-15813	57	8	a	a	DET
fcis-15813	57	9	simple	simple	ADJ
fcis-15813	57	10	linear	linear	NOUN
fcis-15813	57	11	operation	operation	NOUN
fcis-15813	57	12	,	,	PUNCT
fcis-15813	57	13	with	with	ADP
fcis-15813	57	14	the	the	DET
fcis-15813	57	15	following	follow	VERB
fcis-15813	57	16	formula	formula	NOUN
fcis-15813	57	17	.	.	PUNCT
fcis-15813	58	1	(	(	PUNCT
fcis-15813	58	2	)	)	PUNCT
fcis-15813	58	3	,	,	PUNCT
fcis-15813	58	4	i	i	PRON
fcis-15813	58	5	1	1	NUM
fcis-15813	58	6	,	,	PUNCT
fcis-15813	58	7	...	...	PUNCT
fcis-15813	58	8	,	,	PUNCT
fcis-15813	58	9	n	n	CCONJ
fcis-15813	58	10	j=1,	j=1,	NOUN
fcis-15813	58	11	...	...	PUNCT
fcis-15813	58	12	,mij	,mij	PUNCT
fcis-15813	58	13	ij	ij	INTJ
fcis-15813	58	14	iy	iy	INTJ
fcis-15813	58	15	y	y	NOUN
fcis-15813	58	16			PROPN
fcis-15813	58	17			VERB
fcis-15813	58	18			PRON
fcis-15813	58	19	，	，	ADJ
fcis-15813	58	20	(	(	PUNCT
fcis-15813	58	21	2	2	X
fcis-15813	58	22	)	)	PUNCT
fcis-15813	58	23	iy	iy	PROPN
fcis-15813	58	24	represents	represent	VERB
fcis-15813	58	25	the	the	DET
fcis-15813	58	26	i	i	PROPN
fcis-15813	58	27	intrinsic	intrinsic	ADJ
fcis-15813	58	28	feature	feature	NOUN
fcis-15813	58	29	map	map	NOUN
fcis-15813	58	30	in	in	ADP
fcis-15813	58	31	y	y	PROPN
fcis-15813	58	32	,	,	PUNCT
fcis-15813	58	33	and	and	CCONJ
fcis-15813	58	34	ij	ij	PROPN
fcis-15813	58	35	is	be	AUX
fcis-15813	58	36	utilized	utilize	VERB
fcis-15813	58	37	for	for	ADP
fcis-15813	58	38	generating	generate	VERB
fcis-15813	58	39	the	the	DET
fcis-15813	58	40	i	i	PROPN
fcis-15813	58	41	ghost	ghost	NOUN
fcis-15813	58	42	feature	feature	NOUN
fcis-15813	58	43	map	map	NOUN
fcis-15813	58	44	.	.	PUNCT
fcis-15813	59	1	the	the	DET
fcis-15813	59	2	detailed	detailed	ADJ
fcis-15813	59	3	process	process	NOUN
fcis-15813	59	4	of	of	ADP
fcis-15813	59	5	generating	generate	VERB
fcis-15813	59	6	ghost	ghost	NOUN
fcis-15813	59	7	feature	feature	NOUN
fcis-15813	59	8	maps	map	NOUN
fcis-15813	59	9	is	be	AUX
fcis-15813	59	10	illustrated	illustrate	VERB
fcis-15813	59	11	in	in	ADP
fcis-15813	59	12	figure	figure	NOUN
fcis-15813	59	13	2	2	NUM
fcis-15813	59	14	.	.	PUNCT
fcis-15813	60	1	conv	conv	PROPN
fcis-15813	60	2	1	1	PROPN
fcis-15813	60	3	2	2	NUM
fcis-15813	60	4	3	3	PROPN
fcis-15813	60	5	input	input	NOUN
fcis-15813	60	6	output	output	NOUN
fcis-15813	60	7	j	j	ADJ
fcis-15813	60	8	figure	figure	NOUN
fcis-15813	60	9	2	2	NUM
fcis-15813	60	10	.	.	X
fcis-15813	60	11	diagram	diagram	NOUN
fcis-15813	60	12	depicting	depict	VERB
fcis-15813	60	13	the	the	DET
fcis-15813	60	14	process	process	NOUN
fcis-15813	60	15	of	of	ADP
fcis-15813	60	16	obtaining	obtain	VERB
fcis-15813	60	17	ghost	ghost	NOUN
fcis-15813	60	18	features	feature	VERB
fcis-15813	60	19	77	77	NUM
fcis-15813	60	20	due	due	ADP
fcis-15813	60	21	to	to	ADP
fcis-15813	60	22	the	the	DET
fcis-15813	60	23	limited	limited	ADJ
fcis-15813	60	24	ability	ability	NOUN
fcis-15813	60	25	of	of	ADP
fcis-15813	60	26	the	the	DET
fcis-15813	60	27	ghost	ghost	NOUN
fcis-15813	60	28	network	network	NOUN
fcis-15813	60	29	model	model	NOUN
fcis-15813	60	30	in	in	ADP
fcis-15813	60	31	handling	handle	VERB
fcis-15813	60	32	long	long	ADJ
fcis-15813	60	33	-	-	PUNCT
fcis-15813	60	34	range	range	NOUN
fcis-15813	60	35	dependencies	dependency	NOUN
fcis-15813	60	36	,	,	PUNCT
fcis-15813	60	37	this	this	DET
fcis-15813	60	38	paper	paper	NOUN
fcis-15813	60	39	proposes	propose	VERB
fcis-15813	60	40	the	the	DET
fcis-15813	60	41	adoption	adoption	NOUN
fcis-15813	60	42	of	of	ADP
fcis-15813	60	43	ghostnetv2	ghostnetv2	NOUN
fcis-15813	60	44	for	for	ADP
fcis-15813	60	45	network	network	NOUN
fcis-15813	60	46	lightweighting	lightweighting	NOUN
fcis-15813	60	47	.	.	PUNCT
fcis-15813	61	1	ghostnetv2	ghostnetv2	PROPN
fcis-15813	61	2	incorporates	incorporate	VERB
fcis-15813	61	3	the	the	DET
fcis-15813	61	4	dfc	dfc	PROPN
fcis-15813	61	5	attention	attention	NOUN
fcis-15813	61	6	module	module	NOUN
fcis-15813	61	7	,	,	PUNCT
fcis-15813	61	8	which	which	PRON
fcis-15813	61	9	addresses	address	VERB
fcis-15813	61	10	the	the	DET
fcis-15813	61	11	lack	lack	NOUN
fcis-15813	61	12	of	of	ADP
fcis-15813	61	13	long	long	ADJ
fcis-15813	61	14	-	-	PUNCT
fcis-15813	61	15	range	range	NOUN
fcis-15813	61	16	dependency	dependency	NOUN
fcis-15813	61	17	in	in	ADP
fcis-15813	61	18	the	the	DET
fcis-15813	61	19	original	original	ADJ
fcis-15813	61	20	ghost	ghost	NOUN
fcis-15813	61	21	.	.	PUNCT
fcis-15813	62	1	to	to	PART
fcis-15813	62	2	illustrate	illustrate	VERB
fcis-15813	62	3	the	the	DET
fcis-15813	62	4	structure	structure	NOUN
fcis-15813	62	5	of	of	ADP
fcis-15813	62	6	the	the	DET
fcis-15813	62	7	ghostbottleneckv2	ghostbottleneckv2	NOUN
fcis-15813	62	8	,	,	PUNCT
fcis-15813	62	9	which	which	PRON
fcis-15813	62	10	consists	consist	VERB
fcis-15813	62	11	of	of	ADP
fcis-15813	62	12	ghostnetv2	ghostnetv2	NOUN
fcis-15813	62	13	modules	module	NOUN
fcis-15813	62	14	,	,	PUNCT
fcis-15813	62	15	please	please	INTJ
fcis-15813	62	16	refer	refer	VERB
fcis-15813	62	17	to	to	PART
fcis-15813	62	18	figure	figure	VERB
fcis-15813	62	19	3	3	NUM
fcis-15813	62	20	.	.	PUNCT
fcis-15813	63	1	ghostbottleneckv2	ghostbottleneckv2	NOUN
fcis-15813	63	2	dfc	dfc	NOUN
fcis-15813	63	3	 	 	SPACE
fcis-15813	63	4	attention	attention	NOUN
fcis-15813	63	5	ghost	ghost	NOUN
fcis-15813	63	6	  	  	SPACE
fcis-15813	63	7	bn	bn	NOUN
fcis-15813	63	8	relu	relu	NOUN
fcis-15813	63	9	ghost	ghost	NOUN
fcis-15813	63	10	  	  	SPACE
fcis-15813	63	11	bn	bn	NOUN
fcis-15813	63	12	1.stride=1	1.stride=1	PROPN
fcis-15813	63	13	ghostbottleneckv2	ghostbottleneckv2	PROPN
fcis-15813	63	14	dfc	dfc	NOUN
fcis-15813	63	15	 	 	SPACE
fcis-15813	63	16	attention	attention	NOUN
fcis-15813	63	17	ghost	ghost	NOUN
fcis-15813	63	18	  	  	SPACE
fcis-15813	63	19	bn	bn	NOUN
fcis-15813	63	20	relu	relu	NOUN
fcis-15813	63	21	dwconv	dwconv	ADJ
fcis-15813	63	22	 	 	SPACE
fcis-15813	63	23	stride=2	stride=2	NOUN
fcis-15813	63	24	ghost	ghost	NOUN
fcis-15813	63	25	 	 	SPACE
fcis-15813	63	26	bn	bn	NOUN
fcis-15813	63	27	bn	bn	NUM
fcis-15813	63	28	2.stride=2	2.stride=2	NUM
fcis-15813	63	29	figure	figure	NOUN
fcis-15813	63	30	3	3	NUM
fcis-15813	63	31	.	.	NOUN
fcis-15813	63	32	ghost	ghost	NOUN
fcis-15813	63	33	bottleneck	bottleneck	NOUN
fcis-15813	63	34	v	v	NOUN
fcis-15813	63	35	structure	structure	NOUN
fcis-15813	63	36	diagram	diagram	NOUN
fcis-15813	63	37	the	the	DET
fcis-15813	63	38	structure	structure	NOUN
fcis-15813	63	39	of	of	ADP
fcis-15813	63	40	ghost	ghost	NOUN
fcis-15813	63	41	bottleneck	bottleneck	NOUN
fcis-15813	63	42	v	v	NOUN
fcis-15813	63	43	varies	vary	VERB
fcis-15813	63	44	depending	depend	VERB
fcis-15813	63	45	on	on	ADP
fcis-15813	63	46	whether	whether	SCONJ
fcis-15813	63	47	the	the	DET
fcis-15813	63	48	stride	stride	NOUN
fcis-15813	63	49	is	be	AUX
fcis-15813	63	50	set	set	VERB
fcis-15813	63	51	to	to	ADP
fcis-15813	63	52	1	1	NUM
fcis-15813	63	53	or	or	CCONJ
fcis-15813	63	54	2	2	NUM
fcis-15813	63	55	.	.	X
fcis-15813	63	56	for	for	ADP
fcis-15813	63	57	a	a	DET
fcis-15813	63	58	stride	stride	NOUN
fcis-15813	63	59	of	of	ADP
fcis-15813	63	60	1	1	NUM
fcis-15813	63	61	,	,	PUNCT
fcis-15813	63	62	the	the	DET
fcis-15813	63	63	structure	structure	NOUN
fcis-15813	63	64	primarily	primarily	ADV
fcis-15813	63	65	consists	consist	VERB
fcis-15813	63	66	of	of	ADP
fcis-15813	63	67	the	the	DET
fcis-15813	63	68	ghost	ghost	NOUN
fcis-15813	63	69	module	module	NOUN
fcis-15813	63	70	,	,	PUNCT
fcis-15813	63	71	batch	batch	NOUN
fcis-15813	63	72	normalization	normalization	NOUN
fcis-15813	63	73	(	(	PUNCT
fcis-15813	63	74	bn	bn	NOUN
fcis-15813	63	75	)	)	PUNCT
fcis-15813	63	76	module	module	NOUN
fcis-15813	63	77	,	,	PUNCT
fcis-15813	63	78	re	re	VERB
fcis-15813	63	79	lu	lu	NOUN
fcis-15813	63	80	function	function	NOUN
fcis-15813	63	81	,	,	PUNCT
fcis-15813	63	82	and	and	CCONJ
fcis-15813	63	83	dfc	dfc	NOUN
fcis-15813	63	84	attention	attention	NOUN
fcis-15813	63	85	module	module	NOUN
fcis-15813	63	86	.	.	PUNCT
fcis-15813	64	1	conversely	conversely	ADV
fcis-15813	64	2	,	,	PUNCT
fcis-15813	64	3	for	for	ADP
fcis-15813	64	4	a	a	DET
fcis-15813	64	5	stride	stride	NOUN
fcis-15813	64	6	of	of	ADP
fcis-15813	64	7	2	2	NUM
fcis-15813	64	8	,	,	PUNCT
fcis-15813	64	9	the	the	DET
fcis-15813	64	10	structure	structure	NOUN
fcis-15813	64	11	incorporates	incorporate	VERB
fcis-15813	64	12	an	an	DET
fcis-15813	64	13	extra	extra	ADJ
fcis-15813	64	14	depth	depth	NOUN
fcis-15813	64	15	wise	wise	ADJ
fcis-15813	64	16	separable	separable	ADJ
fcis-15813	64	17	conv	conv	NOUN
fcis-15813	64	18	(	(	PUNCT
fcis-15813	64	19	dw	dw	PROPN
fcis-15813	64	20	conv	conv	ADJ
fcis-15813	64	21	)	)	PUNCT
fcis-15813	64	22	module	module	NOUN
fcis-15813	64	23	and	and	CCONJ
fcis-15813	64	24	a	a	DET
fcis-15813	64	25	bn	bn	NOUN
fcis-15813	64	26	module	module	NOUN
fcis-15813	64	27	for	for	ADP
fcis-15813	64	28	normalization	normalization	NOUN
fcis-15813	64	29	after	after	ADP
fcis-15813	64	30	dw	dw	PROPN
fcis-15813	64	31	conv	conv	PROPN
fcis-15813	64	32	.	.	PUNCT
fcis-15813	65	1	n	n	CCONJ
fcis-15813	65	2	this	this	DET
fcis-15813	65	3	paper	paper	NOUN
fcis-15813	65	4	,	,	PUNCT
fcis-15813	65	5	we	we	PRON
fcis-15813	65	6	merge	merge	VERB
fcis-15813	65	7	the	the	DET
fcis-15813	65	8	ghost	ghost	NOUN
fcis-15813	65	9	bottleneck	bottleneck	NOUN
fcis-15813	65	10	v	v	NOUN
fcis-15813	65	11	with	with	ADP
fcis-15813	65	12	the	the	DET
fcis-15813	65	13	c3	c3	NOUN
fcis-15813	65	14	module	module	NOUN
fcis-15813	65	15	of	of	ADP
fcis-15813	65	16	the	the	DET
fcis-15813	65	17	original	original	ADJ
fcis-15813	65	18	yolov5	yolov5	NOUN
fcis-15813	65	19	network	network	NOUN
fcis-15813	65	20	backbone	backbone	NOUN
fcis-15813	65	21	,	,	PUNCT
fcis-15813	65	22	resulting	result	VERB
fcis-15813	65	23	in	in	ADP
fcis-15813	65	24	c3_ghostnetv2	c3_ghostnetv2	PROPN
fcis-15813	65	25	.	.	PUNCT
fcis-15813	66	1	2.2	2.2	NUM
fcis-15813	66	2	.	.	PUNCT
fcis-15813	67	1	c3_dcnv2	c3_dcnv2	PROPN
fcis-15813	67	2	in	in	ADP
fcis-15813	67	3	the	the	DET
fcis-15813	67	4	detection	detection	NOUN
fcis-15813	67	5	of	of	ADP
fcis-15813	67	6	precise	precise	ADJ
fcis-15813	67	7	irregular	irregular	ADJ
fcis-15813	67	8	-	-	PUNCT
fcis-15813	67	9	shaped	shape	VERB
fcis-15813	67	10	parts	part	NOUN
fcis-15813	67	11	,	,	PUNCT
fcis-15813	67	12	the	the	DET
fcis-15813	67	13	parts	part	NOUN
fcis-15813	67	14	exhibit	exhibit	VERB
fcis-15813	67	15	a	a	DET
fcis-15813	67	16	variety	variety	NOUN
fcis-15813	67	17	of	of	ADP
fcis-15813	67	18	shapes	shape	NOUN
fcis-15813	67	19	and	and	CCONJ
fcis-15813	67	20	irregularities	irregularity	NOUN
fcis-15813	67	21	,	,	PUNCT
fcis-15813	67	22	which	which	PRON
fcis-15813	67	23	presents	present	VERB
fcis-15813	67	24	challenges	challenge	NOUN
fcis-15813	67	25	in	in	ADP
fcis-15813	67	26	extracting	extract	VERB
fcis-15813	67	27	target	target	NOUN
fcis-15813	67	28	features	feature	NOUN
fcis-15813	67	29	and	and	CCONJ
fcis-15813	67	30	leads	lead	VERB
fcis-15813	67	31	to	to	ADP
fcis-15813	67	32	a	a	DET
fcis-15813	67	33	decrease	decrease	NOUN
fcis-15813	67	34	in	in	ADP
fcis-15813	67	35	detection	detection	NOUN
fcis-15813	67	36	accuracy	accuracy	NOUN
fcis-15813	67	37	of	of	ADP
fcis-15813	67	38	the	the	DET
fcis-15813	67	39	target	target	NOUN
fcis-15813	67	40	parts	part	NOUN
fcis-15813	67	41	.	.	PUNCT
fcis-15813	68	1	to	to	PART
fcis-15813	68	2	address	address	VERB
fcis-15813	68	3	this	this	DET
fcis-15813	68	4	issue	issue	NOUN
fcis-15813	68	5	,	,	PUNCT
fcis-15813	68	6	we	we	PRON
fcis-15813	68	7	utilize	utilize	VERB
fcis-15813	68	8	the	the	DET
fcis-15813	68	9	deformable	deformable	ADJ
fcis-15813	68	10	convolution	convolution	NOUN
fcis-15813	68	11	dcnv2	dcnv2	PROPN
fcis-15813	68	12	.	.	PUNCT
fcis-15813	69	1	in	in	ADP
fcis-15813	69	2	comparison	comparison	NOUN
fcis-15813	69	3	to	to	ADP
fcis-15813	69	4	the	the	DET
fcis-15813	69	5	previous	previous	ADJ
fcis-15813	69	6	generation	generation	NOUN
fcis-15813	69	7	dcnv1	dcnv1	NOUN
fcis-15813	69	8	,	,	PUNCT
fcis-15813	69	9	dcnv2	dcnv2	VERB
fcis-15813	69	10	not	not	PART
fcis-15813	69	11	only	only	ADV
fcis-15813	69	12	maintains	maintain	VERB
fcis-15813	69	13	the	the	DET
fcis-15813	69	14	offset	offset	NOUN
fcis-15813	69	15	of	of	ADP
fcis-15813	69	16	dcnv1	dcnv1	NOUN
fcis-15813	69	17	to	to	PART
fcis-15813	69	18	accommodate	accommodate	VERB
fcis-15813	69	19	various	various	ADJ
fcis-15813	69	20	shapes	shape	NOUN
fcis-15813	69	21	and	and	CCONJ
fcis-15813	69	22	sizes	size	NOUN
fcis-15813	69	23	of	of	ADP
fcis-15813	69	24	detection	detection	NOUN
fcis-15813	69	25	targets	target	NOUN
fcis-15813	69	26	but	but	CCONJ
fcis-15813	69	27	also	also	ADV
fcis-15813	69	28	introduces	introduce	NOUN
fcis-15813	69	29	point	point	VERB
fcis-15813	69	30	weights	weight	NOUN
fcis-15813	69	31	to	to	PART
fcis-15813	69	32	mitigate	mitigate	VERB
fcis-15813	69	33	the	the	DET
fcis-15813	69	34	problem	problem	NOUN
fcis-15813	69	35	of	of	ADP
fcis-15813	69	36	dcnv1	dcnv1	NOUN
fcis-15813	69	37	easily	easily	ADV
fcis-15813	69	38	sampling	sample	VERB
fcis-15813	69	39	outside	outside	ADP
fcis-15813	69	40	the	the	DET
fcis-15813	69	41	target	target	NOUN
fcis-15813	69	42	when	when	SCONJ
fcis-15813	69	43	performing	perform	VERB
fcis-15813	69	44	offsets	offset	NOUN
fcis-15813	69	45	,	,	PUNCT
fcis-15813	69	46	assigning	assign	VERB
fcis-15813	69	47	lower	low	ADJ
fcis-15813	69	48	weights	weight	NOUN
fcis-15813	69	49	to	to	PART
fcis-15813	69	50	sampled	sample	VERB
fcis-15813	69	51	points	point	NOUN
fcis-15813	69	52	outside	outside	ADP
fcis-15813	69	53	the	the	DET
fcis-15813	69	54	target	target	NOUN
fcis-15813	69	55	.	.	PUNCT
fcis-15813	70	1	this	this	PRON
fcis-15813	70	2	helps	help	VERB
fcis-15813	70	3	reduce	reduce	VERB
fcis-15813	70	4	the	the	DET
fcis-15813	70	5	influence	influence	NOUN
fcis-15813	70	6	of	of	ADP
fcis-15813	70	7	these	these	DET
fcis-15813	70	8	sampled	sample	VERB
fcis-15813	70	9	points	point	NOUN
fcis-15813	70	10	on	on	ADP
fcis-15813	70	11	the	the	DET
fcis-15813	70	12	output	output	NOUN
fcis-15813	70	13	.	.	PUNCT
fcis-15813	71	1	the	the	DET
fcis-15813	71	2	calculation	calculation	NOUN
fcis-15813	71	3	formula	formula	NOUN
fcis-15813	71	4	is	be	AUX
fcis-15813	71	5	presented	present	VERB
fcis-15813	71	6	below	below	ADP
fcis-15813	71	7	:	:	PUNCT
fcis-15813	71	8	1	1	NUM
fcis-15813	71	9	(	(	PUNCT
fcis-15813	71	10	)	)	PUNCT
fcis-15813	71	11	(	(	PUNCT
fcis-15813	71	12	)	)	PUNCT
fcis-15813	72	1	k	k	PROPN
fcis-15813	73	1	k	k	PROPN
fcis-15813	73	2	k	k	PROPN
fcis-15813	74	1	k	k	PROPN
fcis-15813	74	2	k	k	PROPN
fcis-15813	75	1	k	k	PROPN
fcis-15813	75	2	y	y	PROPN
fcis-15813	76	1	p	p	X
fcis-15813	76	2	w	w	PROPN
fcis-15813	76	3	x	x	X
fcis-15813	77	1	p	p	X
fcis-15813	77	2	p	p	X
fcis-15813	77	3	p	p	NOUN
fcis-15813	77	4	m	m	NOUN
fcis-15813	77	5			PROPN
fcis-15813	77	6			PROPN
fcis-15813	77	7			ADV
fcis-15813	77	8			PUNCT
fcis-15813	77	9			VERB
fcis-15813	77	10			PROPN
fcis-15813	77	11			NUM
fcis-15813	77	12			NUM
fcis-15813	77	13	(	(	PUNCT
fcis-15813	77	14	3	3	X
fcis-15813	77	15	)	)	PUNCT
fcis-15813	77	16	the	the	DET
fcis-15813	77	17	weight	weight	NOUN
fcis-15813	77	18	coefficient	coefficient	NOUN
fcis-15813	77	19	,	,	PUNCT
fcis-15813	77	20	,	,	PUNCT
fcis-15813	77	21	corresponds	correspond	VERB
fcis-15813	77	22	to	to	ADP
fcis-15813	77	23	the	the	DET
fcis-15813	77	24	kth	kth	PROPN
fcis-15813	77	25	position	position	NOUN
fcis-15813	77	26	,	,	PUNCT
fcis-15813	77	27	∈	∈	PROPN
fcis-15813	77	28	0,1	0,1	NUM
fcis-15813	77	29	.	.	PUNCT
fcis-15813	78	1	represents	represent	VERB
fcis-15813	78	2	the	the	DET
fcis-15813	78	3	weight	weight	NOUN
fcis-15813	78	4	of	of	ADP
fcis-15813	78	5	.	.	PUNCT
fcis-15813	79	1	denotes	denote	VERB
fcis-15813	79	2	the	the	DET
fcis-15813	79	3	central	central	ADJ
fcis-15813	79	4	point	point	NOUN
fcis-15813	79	5	of	of	ADP
fcis-15813	79	6	the	the	DET
fcis-15813	79	7	sampled	sample	VERB
fcis-15813	79	8	data	data	NOUN
fcis-15813	79	9	point	point	NOUN
fcis-15813	79	10	.	.	PUNCT
fcis-15813	80	1	kp	kp	PROPN
fcis-15813	80	2	indicates	indicate	VERB
fcis-15813	80	3	the	the	DET
fcis-15813	80	4	relative	relative	ADJ
fcis-15813	80	5	position	position	NOUN
fcis-15813	80	6	of	of	ADP
fcis-15813	80	7	the	the	DET
fcis-15813	80	8	central	central	ADJ
fcis-15813	80	9	point	point	NOUN
fcis-15813	80	10	within	within	ADP
fcis-15813	80	11	the	the	DET
fcis-15813	80	12	sampled	sample	VERB
fcis-15813	80	13	data	data	NOUN
fcis-15813	80	14	point	point	NOUN
fcis-15813	80	15	.	.	PUNCT
fcis-15813	81	1	represents	represent	VERB
fcis-15813	81	2	the	the	DET
fcis-15813	81	3	position	position	NOUN
fcis-15813	81	4	offset	offset	VERB
fcis-15813	81	5	and	and	CCONJ
fcis-15813	81	6	is	be	AUX
fcis-15813	81	7	of	of	ADP
fcis-15813	81	8	the	the	DET
fcis-15813	81	9	floating	float	VERB
fcis-15813	81	10	-	-	PUNCT
fcis-15813	81	11	point	point	NOUN
fcis-15813	81	12	data	datum	NOUN
fcis-15813	81	13	type	type	NOUN
fcis-15813	81	14	.	.	PUNCT
fcis-15813	82	1	in	in	ADP
fcis-15813	82	2	this	this	DET
fcis-15813	82	3	article	article	NOUN
fcis-15813	82	4	,	,	PUNCT
fcis-15813	82	5	the	the	DET
fcis-15813	82	6	dcnv2	dcnv2	NOUN
fcis-15813	82	7	module	module	NOUN
fcis-15813	82	8	is	be	AUX
fcis-15813	82	9	introduced	introduce	VERB
fcis-15813	82	10	to	to	PART
fcis-15813	82	11	replace	replace	VERB
fcis-15813	82	12	the	the	DET
fcis-15813	82	13	convolution	convolution	NOUN
fcis-15813	82	14	in	in	ADP
fcis-15813	82	15	the	the	DET
fcis-15813	82	16	c3	c3	NOUN
fcis-15813	82	17	module	module	NOUN
fcis-15813	82	18	of	of	ADP
fcis-15813	82	19	the	the	DET
fcis-15813	82	20	original	original	ADJ
fcis-15813	82	21	yolov5	yolov5	NOUN
fcis-15813	82	22	network	network	NOUN
fcis-15813	82	23	,	,	PUNCT
fcis-15813	82	24	which	which	PRON
fcis-15813	82	25	is	be	AUX
fcis-15813	82	26	denoted	denote	VERB
fcis-15813	82	27	as	as	ADP
fcis-15813	82	28	c3_dcnv2	c3_dcnv2	PROPN
fcis-15813	82	29	.	.	PUNCT
fcis-15813	83	1	the	the	DET
fcis-15813	83	2	inclusion	inclusion	NOUN
fcis-15813	83	3	of	of	ADP
fcis-15813	83	4	the	the	DET
fcis-15813	83	5	dcnv2	dcnv2	NOUN
fcis-15813	83	6	module	module	NOUN
fcis-15813	83	7	in	in	ADP
fcis-15813	83	8	the	the	DET
fcis-15813	83	9	c3	c3	NOUN
fcis-15813	83	10	module	module	NOUN
fcis-15813	83	11	enhances	enhance	VERB
fcis-15813	83	12	the	the	DET
fcis-15813	83	13	capability	capability	NOUN
fcis-15813	83	14	of	of	ADP
fcis-15813	83	15	feature	feature	NOUN
fcis-15813	83	16	extraction	extraction	NOUN
fcis-15813	83	17	for	for	ADP
fcis-15813	83	18	irregular	irregular	ADJ
fcis-15813	83	19	components	component	NOUN
fcis-15813	83	20	,	,	PUNCT
fcis-15813	83	21	leading	lead	VERB
fcis-15813	83	22	to	to	ADP
fcis-15813	83	23	improved	improve	VERB
fcis-15813	83	24	detection	detection	NOUN
fcis-15813	83	25	accuracy	accuracy	NOUN
fcis-15813	83	26	.	.	PUNCT
fcis-15813	84	1	figure	figure	NOUN
fcis-15813	84	2	4	4	NUM
fcis-15813	84	3	depicts	depict	VERB
fcis-15813	84	4	the	the	DET
fcis-15813	84	5	structural	structural	ADJ
fcis-15813	84	6	diagram	diagram	NOUN
fcis-15813	84	7	of	of	ADP
fcis-15813	84	8	c3_dcnv2	c3_dcnv2	PROPN
fcis-15813	84	9	.	.	PUNCT
fcis-15813	85	1	c3_dcnv2	c3_dcnv2	PROPN
fcis-15813	85	2	cbs	cbs	PROPN
fcis-15813	86	1	cbs	cbs	PROPN
fcis-15813	86	2	dcnv2	dcnv2	PROPN
fcis-15813	87	1	cbs	cbs	PROPN
fcis-15813	87	2	cbs	cbs	PROPN
fcis-15813	87	3	concat	concat	PROPN
fcis-15813	87	4	figure	figure	VERB
fcis-15813	87	5	4	4	NUM
fcis-15813	87	6	.	.	PUNCT
fcis-15813	88	1	c3_dcnv2	c3_dcnv2	PROPN
fcis-15813	88	2	architecture	architecture	NOUN
fcis-15813	88	3	diagram	diagram	NOUN
fcis-15813	88	4	3	3	NUM
fcis-15813	88	5	.	.	PUNCT
fcis-15813	88	6	experiment	experiment	NOUN
fcis-15813	88	7	and	and	CCONJ
fcis-15813	88	8	results	result	VERB
fcis-15813	88	9	3.1	3.1	NUM
fcis-15813	88	10	.	.	PUNCT
fcis-15813	89	1	experimental	experimental	ADJ
fcis-15813	89	2	dataset	dataset	NOUN
fcis-15813	89	3	and	and	CCONJ
fcis-15813	89	4	experimental	experimental	ADJ
fcis-15813	89	5	environment	environment	NOUN
fcis-15813	89	6	to	to	PART
fcis-15813	89	7	improve	improve	VERB
fcis-15813	89	8	the	the	DET
fcis-15813	89	9	model	model	NOUN
fcis-15813	89	10	's	's	PART
fcis-15813	89	11	generalization	generalization	NOUN
fcis-15813	89	12	ability	ability	NOUN
fcis-15813	89	13	and	and	CCONJ
fcis-15813	89	14	assess	assess	VERB
fcis-15813	89	15	the	the	DET
fcis-15813	89	16	performance	performance	NOUN
fcis-15813	89	17	of	of	ADP
fcis-15813	89	18	the	the	DET
fcis-15813	89	19	enhanced	enhance	VERB
fcis-15813	89	20	object	object	NOUN
fcis-15813	89	21	detection	detection	NOUN
fcis-15813	89	22	algorithm	algorithm	NOUN
fcis-15813	89	23	,	,	PUNCT
fcis-15813	89	24	a	a	DET
fcis-15813	89	25	precision	precision	NOUN
fcis-15813	89	26	irregular	irregular	ADJ
fcis-15813	89	27	parts	part	NOUN
fcis-15813	89	28	dataset	dataset	NOUN
fcis-15813	89	29	created	create	VERB
fcis-15813	89	30	in	in	ADP
fcis-15813	89	31	-	-	PUNCT
fcis-15813	89	32	house	house	NOUN
fcis-15813	89	33	is	be	AUX
fcis-15813	89	34	utilized	utilize	VERB
fcis-15813	89	35	.	.	PUNCT
fcis-15813	90	1	five	five	NUM
fcis-15813	90	2	categories	category	NOUN
fcis-15813	90	3	of	of	ADP
fcis-15813	90	4	processed	process	VERB
fcis-15813	90	5	parts	part	NOUN
fcis-15813	90	6	,	,	PUNCT
fcis-15813	90	7	including	include	VERB
fcis-15813	90	8	vibrator	vibrator	NOUN
fcis-15813	90	9	,	,	PUNCT
fcis-15813	90	10	vertical	vertical	ADJ
fcis-15813	90	11	tower	tower	NOUN
fcis-15813	90	12	,	,	PUNCT
fcis-15813	90	13	connector	connector	NOUN
fcis-15813	90	14	a	a	PRON
fcis-15813	90	15	,	,	PUNCT
fcis-15813	90	16	connector	connector	NOUN
fcis-15813	90	17	b	b	NOUN
fcis-15813	90	18	,	,	PUNCT
fcis-15813	90	19	and	and	CCONJ
fcis-15813	90	20	connector	connector	NOUN
fcis-15813	90	21	,	,	PUNCT
fcis-15813	90	22	are	be	AUX
fcis-15813	90	23	selected	select	VERB
fcis-15813	90	24	for	for	ADP
fcis-15813	90	25	data	data	NOUN
fcis-15813	90	26	collection	collection	NOUN
fcis-15813	90	27	.	.	PUNCT
fcis-15813	91	1	the	the	DET
fcis-15813	91	2	dataset	dataset	NOUN
fcis-15813	91	3	is	be	AUX
fcis-15813	91	4	taken	take	VERB
fcis-15813	91	5	under	under	ADP
fcis-15813	91	6	various	various	ADJ
fcis-15813	91	7	conditions	condition	NOUN
fcis-15813	91	8	,	,	PUNCT
fcis-15813	91	9	including	include	VERB
fcis-15813	91	10	different	different	ADJ
fcis-15813	91	11	environments	environment	NOUN
fcis-15813	91	12	,	,	PUNCT
fcis-15813	91	13	backgrounds	background	NOUN
fcis-15813	91	14	,	,	PUNCT
fcis-15813	91	15	and	and	CCONJ
fcis-15813	91	16	occlusions	occlusion	NOUN
fcis-15813	91	17	.	.	PUNCT
fcis-15813	92	1	there	there	PRON
fcis-15813	92	2	are	be	VERB
fcis-15813	92	3	1207	1207	NUM
fcis-15813	92	4	original	original	ADJ
fcis-15813	92	5	photos	photo	NOUN
fcis-15813	92	6	with	with	ADP
fcis-15813	92	7	a	a	DET
fcis-15813	92	8	resolution	resolution	NOUN
fcis-15813	92	9	of	of	ADP
fcis-15813	92	10	3000×4000	3000×4000	NUM
fcis-15813	92	11	pixels	pixel	NOUN
fcis-15813	92	12	.	.	PUNCT
fcis-15813	93	1	additionally	additionally	ADV
fcis-15813	93	2	,	,	PUNCT
fcis-15813	93	3	to	to	PART
fcis-15813	93	4	enhance	enhance	VERB
fcis-15813	93	5	the	the	DET
fcis-15813	93	6	model	model	NOUN
fcis-15813	93	7	's	's	PART
fcis-15813	93	8	training	training	NOUN
fcis-15813	93	9	speed	speed	NOUN
fcis-15813	93	10	,	,	PUNCT
fcis-15813	93	11	a	a	DET
fcis-15813	93	12	script	script	NOUN
fcis-15813	93	13	adjusts	adjust	VERB
fcis-15813	93	14	the	the	DET
fcis-15813	93	15	resolution	resolution	NOUN
fcis-15813	93	16	of	of	ADP
fcis-15813	93	17	the	the	DET
fcis-15813	93	18	images	image	NOUN
fcis-15813	93	19	to	to	ADP
fcis-15813	93	20	640×640	640×640	NUM
fcis-15813	93	21	.	.	PUNCT
fcis-15813	94	1	the	the	DET
fcis-15813	94	2	data	data	NOUN
fcis-15813	94	3	is	be	AUX
fcis-15813	94	4	manually	manually	ADV
fcis-15813	94	5	processed	process	VERB
fcis-15813	94	6	and	and	CCONJ
fcis-15813	94	7	annotated	annotate	VERB
fcis-15813	94	8	using	use	VERB
fcis-15813	94	9	labelme	labelme	PROPN
fcis-15813	94	10	annotation	annotation	NOUN
fcis-15813	94	11	software	software	NOUN
fcis-15813	94	12	,	,	PUNCT
fcis-15813	94	13	yielding	yield	VERB
fcis-15813	94	14	the	the	DET
fcis-15813	94	15	final	final	ADJ
fcis-15813	94	16	dataset	dataset	NOUN
fcis-15813	94	17	of	of	ADP
fcis-15813	94	18	precision	precision	NOUN
fcis-15813	94	19	irregular	irregular	ADJ
fcis-15813	94	20	parts	part	NOUN
fcis-15813	94	21	.	.	PUNCT
fcis-15813	95	1	figure	figure	NOUN
fcis-15813	95	2	5	5	NUM
fcis-15813	95	3	displays	display	VERB
fcis-15813	95	4	sample	sample	NOUN
fcis-15813	95	5	images	image	NOUN
fcis-15813	95	6	from	from	ADP
fcis-15813	95	7	this	this	DET
fcis-15813	95	8	dataset	dataset	NOUN
fcis-15813	95	9	.	.	PUNCT
fcis-15813	96	1	78	78	NUM
fcis-15813	96	2	vibrator	vibrator	NOUN
fcis-15813	96	3	vertical	vertical	PROPN
fcis-15813	96	4	tower	tower	PROPN
fcis-15813	96	5	connector	connector	VERB
fcis-15813	96	6	a	a	DET
fcis-15813	96	7	connector	connector	NOUN
fcis-15813	96	8	b	b	PROPN
fcis-15813	96	9	connector	connector	NOUN
fcis-15813	96	10	figure	figure	NOUN
fcis-15813	96	11	5	5	NUM
fcis-15813	96	12	.	.	PUNCT
fcis-15813	97	1	precision	precision	NOUN
fcis-15813	97	2	custom	custom	ADV
fcis-15813	97	3	-	-	PUNCT
fcis-15813	97	4	shaped	shape	VERB
fcis-15813	97	5	part	part	NOUN
fcis-15813	97	6	drawing	draw	VERB
fcis-15813	97	7	the	the	DET
fcis-15813	97	8	experimental	experimental	ADJ
fcis-15813	97	9	setup	setup	NOUN
fcis-15813	97	10	for	for	ADP
fcis-15813	97	11	this	this	DET
fcis-15813	97	12	study	study	NOUN
fcis-15813	97	13	consists	consist	VERB
fcis-15813	97	14	of	of	ADP
fcis-15813	97	15	:	:	PUNCT
fcis-15813	97	16	intel(r	intel(r	PROPN
fcis-15813	97	17	)	)	PUNCT
fcis-15813	97	18	xeon(r	xeon(r	PROPN
fcis-15813	97	19	)	)	PUNCT
fcis-15813	97	20	platinum	platinum	NOUN
fcis-15813	97	21	8350c	8350c	NUM
fcis-15813	97	22	cpu	cpu	VERB
fcis-15813	97	23	@	@	ADP
fcis-15813	97	24	2.60ghz	2.60ghz	NUM
fcis-15813	97	25	with	with	ADP
fcis-15813	97	26	16	16	NUM
fcis-15813	97	27	vcpus	vcpu	NOUN
fcis-15813	97	28	,	,	PUNCT
fcis-15813	97	29	42	42	NUM
fcis-15813	97	30	gb	gb	NOUN
fcis-15813	97	31	ram	ram	NOUN
fcis-15813	97	32	,	,	PUNCT
fcis-15813	97	33	nvidia	nvidia	PROPN
fcis-15813	97	34	ge	ge	PROPN
fcis-15813	97	35	force	force	PROPN
fcis-15813	97	36	rtx	rtx	PROPN
fcis-15813	97	37	3090	3090	NUM
fcis-15813	97	38	gpu	gpu	NOUN
fcis-15813	97	39	with	with	ADP
fcis-15813	97	40	24	24	NUM
fcis-15813	97	41	gb	gb	NOUN
fcis-15813	97	42	vram	vram	NOUN
fcis-15813	97	43	,	,	PUNCT
fcis-15813	97	44	ubuntu	ubuntu	ADJ
fcis-15813	97	45	20.04	20.04	NUM
fcis-15813	97	46	(	(	PUNCT
fcis-15813	97	47	64	64	NUM
fcis-15813	97	48	-	-	PUNCT
fcis-15813	97	49	bit	bit	NOUN
fcis-15813	97	50	)	)	PUNCT
fcis-15813	97	51	,	,	PUNCT
fcis-15813	97	52	p	p	PROPN
fcis-15813	97	53	y	y	PROPN
fcis-15813	97	54	torch	torch	NOUN
fcis-15813	97	55	framework	framework	NOUN
fcis-15813	97	56	version	version	NOUN
fcis-15813	97	57	1.10.0	1.10.0	NUM
fcis-15813	97	58	,	,	PUNCT
fcis-15813	97	59	cuda	cuda	NOUN
fcis-15813	97	60	version	version	NOUN
fcis-15813	97	61	11.3	11.3	NUM
fcis-15813	97	62	.	.	PUNCT
fcis-15813	98	1	the	the	DET
fcis-15813	98	2	yolov5s	yolov5s	PROPN
fcis-15813	98	3	model	model	NOUN
fcis-15813	98	4	is	be	AUX
fcis-15813	98	5	utilized	utilize	VERB
fcis-15813	98	6	as	as	ADP
fcis-15813	98	7	the	the	DET
fcis-15813	98	8	fundamental	fundamental	ADJ
fcis-15813	98	9	training	training	NOUN
fcis-15813	98	10	model	model	NOUN
fcis-15813	98	11	for	for	ADP
fcis-15813	98	12	precision	precision	NOUN
fcis-15813	98	13	-	-	PUNCT
fcis-15813	98	14	shaped	shape	VERB
fcis-15813	98	15	parts	part	NOUN
fcis-15813	98	16	.	.	PUNCT
fcis-15813	99	1	the	the	DET
fcis-15813	99	2	training	training	NOUN
fcis-15813	99	3	set	set	NOUN
fcis-15813	99	4	is	be	AUX
fcis-15813	99	5	enhanced	enhance	VERB
fcis-15813	99	6	using	use	VERB
fcis-15813	99	7	mosaic	mosaic	ADJ
fcis-15813	99	8	data	datum	NOUN
fcis-15813	99	9	augmentation	augmentation	NOUN
fcis-15813	99	10	,	,	PUNCT
fcis-15813	99	11	employing	employ	VERB
fcis-15813	99	12	an	an	DET
fcis-15813	99	13	input	input	NOUN
fcis-15813	99	14	size	size	NOUN
fcis-15813	99	15	of	of	ADP
fcis-15813	99	16	640×640	640×640	NUM
fcis-15813	99	17	pixels	pixel	NOUN
fcis-15813	99	18	.	.	PUNCT
fcis-15813	100	1	the	the	DET
fcis-15813	100	2	training	training	NOUN
fcis-15813	100	3	process	process	NOUN
fcis-15813	100	4	includes	include	VERB
fcis-15813	100	5	250	250	NUM
fcis-15813	100	6	iterations	iteration	NOUN
fcis-15813	100	7	,	,	PUNCT
fcis-15813	100	8	each	each	PRON
fcis-15813	100	9	with	with	ADP
fcis-15813	100	10	a	a	DET
fcis-15813	100	11	batch	batch	NOUN
fcis-15813	100	12	size	size	NOUN
fcis-15813	100	13	of	of	ADP
fcis-15813	100	14	32	32	NUM
fcis-15813	100	15	samples	sample	NOUN
fcis-15813	100	16	.	.	PUNCT
fcis-15813	101	1	the	the	DET
fcis-15813	101	2	number	number	NOUN
fcis-15813	101	3	of	of	ADP
fcis-15813	101	4	data	datum	NOUN
fcis-15813	101	5	loading	loading	NOUN
fcis-15813	101	6	threads	thread	NOUN
fcis-15813	101	7	is	be	AUX
fcis-15813	101	8	set	set	VERB
fcis-15813	101	9	to	to	ADP
fcis-15813	101	10	4	4	NUM
fcis-15813	101	11	.	.	NOUN
fcis-15813	101	12	3.2	3.2	NUM
fcis-15813	101	13	.	.	PUNCT
fcis-15813	102	1	evaluation	evaluation	NOUN
fcis-15813	102	2	criteria	criterion	NOUN
fcis-15813	102	3	the	the	DET
fcis-15813	102	4	evaluation	evaluation	NOUN
fcis-15813	102	5	of	of	ADP
fcis-15813	102	6	a	a	DET
fcis-15813	102	7	model	model	NOUN
fcis-15813	102	8	's	's	PART
fcis-15813	102	9	performance	performance	NOUN
fcis-15813	102	10	primarily	primarily	ADV
fcis-15813	102	11	relies	rely	VERB
fcis-15813	102	12	on	on	ADP
fcis-15813	102	13	two	two	NUM
fcis-15813	102	14	factors	factor	NOUN
fcis-15813	102	15	:	:	PUNCT
fcis-15813	102	16	detection	detection	NOUN
fcis-15813	102	17	accuracy	accuracy	NOUN
fcis-15813	102	18	and	and	CCONJ
fcis-15813	102	19	speed	speed	NOUN
fcis-15813	102	20	.	.	PUNCT
fcis-15813	103	1	detection	detection	NOUN
fcis-15813	103	2	accuracy	accuracy	NOUN
fcis-15813	103	3	is	be	AUX
fcis-15813	103	4	measured	measure	VERB
fcis-15813	103	5	using	use	VERB
fcis-15813	103	6	mean	mean	ADJ
fcis-15813	103	7	average	average	ADJ
fcis-15813	103	8	precision	precision	NOUN
fcis-15813	103	9	(	(	PUNCT
fcis-15813	103	10	map	map	NOUN
fcis-15813	103	11	)	)	PUNCT
fcis-15813	103	12	.	.	PUNCT
fcis-15813	104	1	during	during	ADP
fcis-15813	104	2	the	the	DET
fcis-15813	104	3	process	process	NOUN
fcis-15813	104	4	of	of	ADP
fcis-15813	104	5	multiple	multiple	ADJ
fcis-15813	104	6	object	object	NOUN
fcis-15813	104	7	detection	detection	NOUN
fcis-15813	104	8	,	,	PUNCT
fcis-15813	104	9	a	a	DET
fcis-15813	104	10	precisionrecall	precisionrecall	NOUN
fcis-15813	104	11	(	(	PUNCT
fcis-15813	104	12	p	p	NOUN
fcis-15813	104	13	-	-	PUNCT
fcis-15813	104	14	r	r	NOUN
fcis-15813	104	15	)	)	PUNCT
fcis-15813	104	16	curve	curve	NOUN
fcis-15813	104	17	is	be	AUX
fcis-15813	104	18	generated	generate	VERB
fcis-15813	104	19	for	for	ADP
fcis-15813	104	20	each	each	DET
fcis-15813	104	21	object	object	NOUN
fcis-15813	104	22	based	base	VERB
fcis-15813	104	23	on	on	ADP
fcis-15813	104	24	the	the	DET
fcis-15813	104	25	recall	recall	NOUN
fcis-15813	104	26	rate	rate	NOUN
fcis-15813	104	27	and	and	CCONJ
fcis-15813	104	28	precision	precision	NOUN
fcis-15813	104	29	rate	rate	NOUN
fcis-15813	104	30	.	.	PUNCT
fcis-15813	105	1	ap	ap	PROPN
fcis-15813	105	2	represents	represent	VERB
fcis-15813	105	3	the	the	DET
fcis-15813	105	4	area	area	NOUN
fcis-15813	105	5	under	under	ADP
fcis-15813	105	6	the	the	DET
fcis-15813	105	7	curve	curve	NOUN
fcis-15813	105	8	,	,	PUNCT
fcis-15813	105	9	while	while	SCONJ
fcis-15813	105	10	map	map	NOUN
fcis-15813	105	11	is	be	AUX
fcis-15813	105	12	the	the	DET
fcis-15813	105	13	average	average	NOUN
fcis-15813	105	14	of	of	ADP
fcis-15813	105	15	ap	ap	PROPN
fcis-15813	105	16	values	value	NOUN
fcis-15813	105	17	across	across	ADP
fcis-15813	105	18	multiple	multiple	ADJ
fcis-15813	105	19	categories	category	NOUN
fcis-15813	105	20	.	.	PUNCT
fcis-15813	106	1	the	the	DET
fcis-15813	106	2	calculation	calculation	NOUN
fcis-15813	106	3	method	method	NOUN
fcis-15813	106	4	is	be	AUX
fcis-15813	106	5	depicted	depict	VERB
fcis-15813	106	6	in	in	ADP
fcis-15813	106	7	the	the	DET
fcis-15813	106	8	equation	equation	NOUN
fcis-15813	106	9	below	below	ADV
fcis-15813	106	10	:	:	PUNCT
fcis-15813	106	11	tp	tp	PART
fcis-15813	106	12	precision	precision	VERB
fcis-15813	106	13	tp	tp	ADP
fcis-15813	106	14	fp	fp	PROPN
fcis-15813	106	15			PROPN
fcis-15813	106	16			X
fcis-15813	106	17	(	(	PUNCT
fcis-15813	106	18	4	4	NUM
fcis-15813	106	19	)	)	PUNCT
fcis-15813	106	20	tp	tp	PART
fcis-15813	106	21	recall	recall	VERB
fcis-15813	106	22	tp	tp	ADP
fcis-15813	106	23	fn	fn	PROPN
fcis-15813	106	24			PROPN
fcis-15813	106	25			PUNCT
fcis-15813	106	26	(	(	PUNCT
fcis-15813	106	27	5	5	NUM
fcis-15813	106	28	)	)	PUNCT
fcis-15813	106	29	(	(	PUNCT
fcis-15813	106	30	)	)	PUNCT
fcis-15813	106	31	ap	ap	PROPN
fcis-15813	106	32	map	map	VERB
fcis-15813	106	33	n	n	DET
fcis-15813	106	34	class	class	NOUN
fcis-15813	106	35			PROPN
fcis-15813	106	36			X
fcis-15813	106	37	(	(	PUNCT
fcis-15813	106	38	6	6	NUM
fcis-15813	106	39	)	)	PUNCT
fcis-15813	106	40	in	in	ADP
fcis-15813	106	41	this	this	DET
fcis-15813	106	42	context	context	NOUN
fcis-15813	106	43	,	,	PUNCT
fcis-15813	106	44	tp	tp	X
fcis-15813	106	45	(	(	PUNCT
fcis-15813	106	46	true	true	ADJ
fcis-15813	106	47	positive	positive	ADJ
fcis-15813	106	48	)	)	PUNCT
fcis-15813	106	49	and	and	CCONJ
fcis-15813	106	50	tn	tn	PROPN
fcis-15813	106	51	(	(	PUNCT
fcis-15813	106	52	true	true	ADJ
fcis-15813	106	53	negative	negative	ADJ
fcis-15813	106	54	)	)	PUNCT
fcis-15813	106	55	denote	denote	VERB
fcis-15813	106	56	the	the	DET
fcis-15813	106	57	samples	sample	NOUN
fcis-15813	106	58	that	that	PRON
fcis-15813	106	59	the	the	DET
fcis-15813	106	60	model	model	NOUN
fcis-15813	106	61	accurately	accurately	ADV
fcis-15813	106	62	categorized	categorize	VERB
fcis-15813	106	63	as	as	ADP
fcis-15813	106	64	positive	positive	ADJ
fcis-15813	106	65	and	and	CCONJ
fcis-15813	106	66	negative	negative	ADJ
fcis-15813	106	67	,	,	PUNCT
fcis-15813	106	68	respectively	respectively	ADV
fcis-15813	106	69	.	.	PUNCT
fcis-15813	107	1	conversely	conversely	ADV
fcis-15813	107	2	,	,	PUNCT
fcis-15813	107	3	fp	fp	INTJ
fcis-15813	107	4	(	(	PUNCT
fcis-15813	107	5	false	false	ADJ
fcis-15813	107	6	positive	positive	NOUN
fcis-15813	107	7	)	)	PUNCT
fcis-15813	107	8	and	and	CCONJ
fcis-15813	107	9	fn	fn	INTJ
fcis-15813	107	10	(	(	PUNCT
fcis-15813	107	11	false	false	ADJ
fcis-15813	107	12	negative	negative	NOUN
fcis-15813	107	13	)	)	PUNCT
fcis-15813	107	14	represent	represent	VERB
fcis-15813	107	15	the	the	DET
fcis-15813	107	16	samples	sample	NOUN
fcis-15813	107	17	that	that	PRON
fcis-15813	107	18	the	the	DET
fcis-15813	107	19	model	model	NOUN
fcis-15813	107	20	erroneously	erroneously	ADV
fcis-15813	107	21	classified	classify	VERB
fcis-15813	107	22	as	as	ADP
fcis-15813	107	23	positive	positive	ADJ
fcis-15813	107	24	and	and	CCONJ
fcis-15813	107	25	negative	negative	ADJ
fcis-15813	107	26	.	.	PUNCT
fcis-15813	108	1	average	average	ADJ
fcis-15813	108	2	precision	precision	NOUN
fcis-15813	108	3	(	(	PUNCT
fcis-15813	108	4	ap	ap	PROPN
fcis-15813	108	5	)	)	PUNCT
fcis-15813	108	6	refers	refer	VERB
fcis-15813	108	7	to	to	ADP
fcis-15813	108	8	the	the	DET
fcis-15813	108	9	mean	mean	ADJ
fcis-15813	108	10	precision	precision	NOUN
fcis-15813	108	11	attained	attain	VERB
fcis-15813	108	12	by	by	ADP
fcis-15813	108	13	averaging	average	VERB
fcis-15813	108	14	the	the	DET
fcis-15813	108	15	precision	precision	NOUN
fcis-15813	108	16	scores	score	NOUN
fcis-15813	108	17	of	of	ADP
fcis-15813	108	18	these	these	DET
fcis-15813	108	19	samples	sample	NOUN
fcis-15813	108	20	.	.	PUNCT
fcis-15813	109	1	this	this	DET
fcis-15813	109	2	study	study	NOUN
fcis-15813	109	3	measures	measure	VERB
fcis-15813	109	4	speed	speed	NOUN
fcis-15813	109	5	using	use	VERB
fcis-15813	109	6	three	three	NUM
fcis-15813	109	7	key	key	ADJ
fcis-15813	109	8	indicators	indicator	NOUN
fcis-15813	109	9	:	:	PUNCT
fcis-15813	110	1	parameters	parameter	NOUN
fcis-15813	110	2	,	,	PUNCT
fcis-15813	110	3	gflops	gflop	NOUN
fcis-15813	110	4	(	(	PUNCT
fcis-15813	110	5	floating	float	VERB
fcis-15813	110	6	point	point	NOUN
fcis-15813	110	7	operations	operation	NOUN
fcis-15813	110	8	per	per	ADP
fcis-15813	110	9	second	second	ADJ
fcis-15813	110	10	)	)	PUNCT
fcis-15813	110	11	,	,	PUNCT
fcis-15813	110	12	and	and	CCONJ
fcis-15813	110	13	fps	fps	PROPN
fcis-15813	110	14	(	(	PUNCT
fcis-15813	110	15	frames	frame	NOUN
fcis-15813	110	16	per	per	ADP
fcis-15813	110	17	second	second	NOUN
fcis-15813	110	18	)	)	PUNCT
fcis-15813	110	19	.	.	PUNCT
fcis-15813	111	1	the	the	DET
fcis-15813	111	2	parameter	parameter	NOUN
fcis-15813	111	3	count	count	NOUN
fcis-15813	111	4	is	be	AUX
fcis-15813	111	5	primarily	primarily	ADV
fcis-15813	111	6	determined	determine	VERB
fcis-15813	111	7	by	by	ADP
fcis-15813	111	8	the	the	DET
fcis-15813	111	9	model	model	NOUN
fcis-15813	111	10	's	's	PART
fcis-15813	111	11	structure	structure	NOUN
fcis-15813	111	12	,	,	PUNCT
fcis-15813	111	13	while	while	SCONJ
fcis-15813	111	14	gflops	gflop	NOUN
fcis-15813	111	15	can	can	AUX
fcis-15813	111	16	assess	assess	VERB
fcis-15813	111	17	the	the	DET
fcis-15813	111	18	model	model	NOUN
fcis-15813	111	19	's	's	PART
fcis-15813	111	20	complexity	complexity	NOUN
fcis-15813	111	21	.	.	PUNCT
fcis-15813	112	1	a	a	DET
fcis-15813	112	2	higher	high	ADJ
fcis-15813	112	3	gflops	gflop	NOUN
fcis-15813	112	4	value	value	NOUN
fcis-15813	112	5	indicates	indicate	VERB
fcis-15813	112	6	a	a	DET
fcis-15813	112	7	higher	high	ADJ
fcis-15813	112	8	number	number	NOUN
fcis-15813	112	9	of	of	ADP
fcis-15813	112	10	floating	float	VERB
fcis-15813	112	11	-	-	PUNCT
fcis-15813	112	12	point	point	NOUN
fcis-15813	112	13	operations	operation	NOUN
fcis-15813	112	14	required	require	VERB
fcis-15813	112	15	by	by	ADP
fcis-15813	112	16	the	the	DET
fcis-15813	112	17	network	network	NOUN
fcis-15813	112	18	,	,	PUNCT
fcis-15813	112	19	which	which	PRON
fcis-15813	112	20	may	may	AUX
fcis-15813	112	21	result	result	VERB
fcis-15813	112	22	in	in	ADP
fcis-15813	112	23	slower	slow	ADJ
fcis-15813	112	24	speed	speed	NOUN
fcis-15813	112	25	under	under	ADP
fcis-15813	112	26	similar	similar	ADJ
fcis-15813	112	27	hardware	hardware	NOUN
fcis-15813	112	28	conditions	condition	NOUN
fcis-15813	112	29	.	.	PUNCT
fcis-15813	113	1	fps	fps	PROPN
fcis-15813	113	2	(	(	PUNCT
fcis-15813	113	3	frames	frame	NOUN
fcis-15813	113	4	per	per	ADP
fcis-15813	113	5	second	second	ADJ
fcis-15813	113	6	)	)	PUNCT
fcis-15813	113	7	is	be	AUX
fcis-15813	113	8	a	a	DET
fcis-15813	113	9	term	term	NOUN
fcis-15813	113	10	commonly	commonly	ADV
fcis-15813	113	11	used	use	VERB
fcis-15813	113	12	in	in	ADP
fcis-15813	113	13	image	image	NOUN
fcis-15813	113	14	processing	processing	NOUN
fcis-15813	113	15	,	,	PUNCT
fcis-15813	113	16	representing	represent	VERB
fcis-15813	113	17	the	the	DET
fcis-15813	113	18	number	number	NOUN
fcis-15813	113	19	of	of	ADP
fcis-15813	113	20	frames	frame	NOUN
fcis-15813	113	21	transmitted	transmit	VERB
fcis-15813	113	22	per	per	ADP
fcis-15813	113	23	second	second	NOUN
fcis-15813	113	24	.	.	PUNCT
fcis-15813	114	1	in	in	ADP
fcis-15813	114	2	the	the	DET
fcis-15813	114	3	context	context	NOUN
fcis-15813	114	4	of	of	ADP
fcis-15813	114	5	object	object	NOUN
fcis-15813	114	6	recognition	recognition	NOUN
fcis-15813	114	7	,	,	PUNCT
fcis-15813	114	8	it	it	PRON
fcis-15813	114	9	signifies	signify	VERB
fcis-15813	114	10	the	the	DET
fcis-15813	114	11	model	model	NOUN
fcis-15813	114	12	's	's	PART
fcis-15813	114	13	ability	ability	NOUN
fcis-15813	114	14	to	to	PART
fcis-15813	114	15	recognize	recognize	VERB
fcis-15813	114	16	frames	frame	NOUN
fcis-15813	114	17	within	within	ADP
fcis-15813	114	18	a	a	DET
fcis-15813	114	19	one	one	NUM
fcis-15813	114	20	-	-	PUNCT
fcis-15813	114	21	second	second	NOUN
fcis-15813	114	22	interval	interval	NOUN
fcis-15813	114	23	.	.	PUNCT
fcis-15813	115	1	a	a	DET
fcis-15813	115	2	higher	high	ADJ
fcis-15813	115	3	fps	fps	NOUN
fcis-15813	115	4	value	value	NOUN
fcis-15813	115	5	indicates	indicate	VERB
fcis-15813	115	6	a	a	DET
fcis-15813	115	7	faster	fast	ADJ
fcis-15813	115	8	speed	speed	NOUN
fcis-15813	115	9	of	of	ADP
fcis-15813	115	10	algorithm	algorithm	NOUN
fcis-15813	115	11	recognition	recognition	NOUN
fcis-15813	115	12	.	.	PUNCT
fcis-15813	116	1	3.3	3.3	NUM
fcis-15813	116	2	.	.	PUNCT
fcis-15813	117	1	experimental	experimental	ADJ
fcis-15813	117	2	results	result	NOUN
fcis-15813	117	3	3.3.1	3.3.1	NUM
fcis-15813	117	4	.	.	PUNCT
fcis-15813	117	5	model	model	NOUN
fcis-15813	117	6	performance	performance	NOUN
fcis-15813	117	7	ablation	ablation	NOUN
fcis-15813	117	8	experiment	experiment	NOUN
fcis-15813	117	9	revised	revise	VERB
fcis-15813	117	10	sentence	sentence	NOUN
fcis-15813	117	11	structure	structure	NOUN
fcis-15813	117	12	and	and	CCONJ
fcis-15813	117	13	phrasing	phrasing	NOUN
fcis-15813	117	14	.	.	PUNCT
fcis-15813	118	1	simplified	simplified	ADJ
fcis-15813	118	2	sentence	sentence	NOUN
fcis-15813	118	3	structure	structure	NOUN
fcis-15813	118	4	and	and	CCONJ
fcis-15813	118	5	clarified	clarify	VERB
fcis-15813	118	6	the	the	DET
fcis-15813	118	7	sequence	sequence	NOUN
fcis-15813	118	8	of	of	ADP
fcis-15813	118	9	events	event	NOUN
fcis-15813	118	10	.	.	PUNCT
fcis-15813	119	1	restructured	restructure	VERB
fcis-15813	119	2	sentence	sentence	NOUN
fcis-15813	119	3	and	and	CCONJ
fcis-15813	119	4	added	add	VERB
fcis-15813	119	5	clarity	clarity	NOUN
fcis-15813	119	6	by	by	ADP
fcis-15813	119	7	specifying	specify	VERB
fcis-15813	119	8	the	the	DET
fcis-15813	119	9	purpose	purpose	NOUN
fcis-15813	119	10	of	of	ADP
fcis-15813	119	11	comparative	comparative	ADJ
fcis-15813	119	12	experiments	experiment	NOUN
fcis-15813	119	13	.	.	PUNCT
fcis-15813	120	1	revised	revise	VERB
fcis-15813	120	2	sentence	sentence	NOUN
fcis-15813	120	3	structure	structure	NOUN
fcis-15813	120	4	and	and	CCONJ
fcis-15813	120	5	phrasing	phrasing	NOUN
fcis-15813	120	6	.	.	PUNCT
fcis-15813	120	7	restructured	restructure	VERB
fcis-15813	120	8	sentence	sentence	NOUN
fcis-15813	120	9	and	and	CCONJ
fcis-15813	120	10	clarified	clarify	VERB
fcis-15813	120	11	the	the	DET
fcis-15813	120	12	purpose	purpose	NOUN
fcis-15813	120	13	of	of	ADP
fcis-15813	120	14	the	the	DET
fcis-15813	120	15	notation	notation	NOUN
fcis-15813	120	16	"	"	PUNCT
fcis-15813	120	17	√	√	PROPN
fcis-15813	120	18	"	"	PUNCT
fcis-15813	120	19	.	.	PUNCT
fcis-15813	121	1	reworded	reword	VERB
fcis-15813	121	2	sentence	sentence	NOUN
fcis-15813	121	3	to	to	PART
fcis-15813	121	4	improve	improve	VERB
fcis-15813	121	5	clarity	clarity	NOUN
fcis-15813	121	6	and	and	CCONJ
fcis-15813	121	7	consistency	consistency	NOUN
fcis-15813	121	8	.	.	PUNCT
fcis-15813	122	1	table	table	NOUN
fcis-15813	122	2	1	1	NUM
fcis-15813	122	3	.	.	PUNCT
fcis-15813	122	4	ablation	ablation	NOUN
fcis-15813	122	5	experiment	experiment	NOUN
fcis-15813	122	6	network	network	NOUN
fcis-15813	122	7	model	model	NOUN
fcis-15813	122	8	c3_ghostnetv2	c3_ghostnetv2	PROPN
fcis-15813	122	9	c3_dcnv2	c3_dcnv2	PROPN
fcis-15813	122	10	map@.5	map@.5	PROPN
fcis-15813	122	11	%	%	NOUN
fcis-15813	122	12	rcall	rcall	NOUN
fcis-15813	122	13	params	param	NOUN
fcis-15813	122	14	(	(	PUNCT
fcis-15813	122	15	×106	×106	NOUN
fcis-15813	122	16	)	)	PUNCT
fcis-15813	122	17	fps(f	fps(f	PROPN
fcis-15813	122	18	/	/	SYM
fcis-15813	122	19	s	s	NOUN
fcis-15813	122	20	)	)	PUNCT
fcis-15813	122	21	size(m	size(m	NOUN
fcis-15813	122	22	)	)	PUNCT
fcis-15813	122	23	a	a	DET
fcis-15813	122	24	91	91	NUM
fcis-15813	122	25	0.89	0.89	NUM
fcis-15813	122	26	7.03	7.03	NUM
fcis-15813	122	27	138.89	138.89	NUM
fcis-15813	122	28	13.7	13.7	NUM
fcis-15813	122	29	b	b	NOUN
fcis-15813	122	30	√	√	NOUN
fcis-15813	122	31	90.9	90.9	NUM
fcis-15813	122	32	0.87.7	0.87.7	NUM
fcis-15813	122	33	5.92	5.92	NUM
fcis-15813	122	34	142.86	142.86	NUM
fcis-15813	122	35	11.6	11.6	NUM
fcis-15813	122	36	c	c	NOUN
fcis-15813	122	37	√	√	PROPN
fcis-15813	122	38	√	√	ADP
fcis-15813	122	39	92.4	92.4	NUM
fcis-15813	122	40	0.89.8	0.89.8	NUM
fcis-15813	122	41	6.07	6.07	NUM
fcis-15813	122	42	111.21	111.21	NUM
fcis-15813	122	43	12	12	NUM
fcis-15813	122	44	the	the	DET
fcis-15813	122	45	experimental	experimental	ADJ
fcis-15813	122	46	data	data	NOUN
fcis-15813	122	47	utilizes	utilize	VERB
fcis-15813	122	48	the	the	DET
fcis-15813	122	49	yolov5	yolov5	NOUN
fcis-15813	122	50	algorithm	algorithm	NOUN
fcis-15813	122	51	as	as	ADP
fcis-15813	122	52	the	the	DET
fcis-15813	122	53	baseline	baseline	NOUN
fcis-15813	122	54	.	.	PUNCT
fcis-15813	123	1	according	accord	VERB
fcis-15813	123	2	to	to	ADP
fcis-15813	123	3	the	the	DET
fcis-15813	123	4	experimental	experimental	ADJ
fcis-15813	123	5	results	result	NOUN
fcis-15813	123	6	in	in	ADP
fcis-15813	123	7	table	table	NOUN
fcis-15813	123	8	1	1	NUM
fcis-15813	123	9	,	,	PUNCT
fcis-15813	123	10	when	when	SCONJ
fcis-15813	123	11	the	the	DET
fcis-15813	123	12	c3_ghostnetv2	c3_ghostnetv2	PROPN
fcis-15813	123	13	is	be	AUX
fcis-15813	123	14	incorporated	incorporate	VERB
fcis-15813	123	15	into	into	ADP
fcis-15813	123	16	network	network	NOUN
fcis-15813	123	17	model	model	PROPN
fcis-15813	123	18	b	b	PROPN
fcis-15813	123	19	,	,	PUNCT
fcis-15813	123	20	the	the	DET
fcis-15813	123	21	network	network	NOUN
fcis-15813	123	22	parameters	parameter	NOUN
fcis-15813	123	23	decrease	decrease	VERB
fcis-15813	123	24	by	by	ADP
fcis-15813	123	25	15	15	NUM
fcis-15813	123	26	%	%	NOUN
fcis-15813	123	27	,	,	PUNCT
fcis-15813	123	28	while	while	SCONJ
fcis-15813	123	29	increasing	increase	VERB
fcis-15813	123	30	the	the	DET
fcis-15813	123	31	network	network	NOUN
fcis-15813	123	32	's	's	PART
fcis-15813	123	33	fps	fps	NOUN
fcis-15813	123	34	by	by	ADP
fcis-15813	123	35	4f	4f	NUM
fcis-15813	123	36	/	/	SYM
fcis-15813	123	37	s.	s.	PROPN
fcis-15813	123	38	the	the	DET
fcis-15813	123	39	map_0.5	map_0.5	PROPN
fcis-15813	123	40	shows	show	VERB
fcis-15813	123	41	a	a	DET
fcis-15813	123	42	marginal	marginal	ADJ
fcis-15813	123	43	decrease	decrease	NOUN
fcis-15813	123	44	of	of	ADP
fcis-15813	123	45	only	only	ADV
fcis-15813	123	46	0.1	0.1	NUM
fcis-15813	123	47	%	%	NOUN
fcis-15813	123	48	.	.	PUNCT
fcis-15813	124	1	this	this	PRON
fcis-15813	124	2	suggests	suggest	VERB
fcis-15813	124	3	that	that	SCONJ
fcis-15813	124	4	the	the	DET
fcis-15813	124	5	addition	addition	NOUN
fcis-15813	124	6	of	of	ADP
fcis-15813	124	7	c3_ghostnetv2	c3_ghostnetv2	PROPN
fcis-15813	124	8	to	to	ADP
fcis-15813	124	9	the	the	DET
fcis-15813	124	10	network	network	NOUN
fcis-15813	124	11	's	's	PART
fcis-15813	124	12	backbone	backbone	NOUN
fcis-15813	124	13	and	and	CCONJ
fcis-15813	124	14	obtaining	obtain	VERB
fcis-15813	124	15	sufficient	sufficient	ADJ
fcis-15813	124	16	feature	feature	NOUN
fcis-15813	124	17	maps	map	NOUN
fcis-15813	124	18	through	through	ADP
fcis-15813	124	19	simple	simple	ADJ
fcis-15813	124	20	linear	linear	NOUN
fcis-15813	124	21	operations	operation	NOUN
fcis-15813	124	22	can	can	AUX
fcis-15813	124	23	reduce	reduce	VERB
fcis-15813	124	24	the	the	DET
fcis-15813	124	25	number	number	NOUN
fcis-15813	124	26	of	of	ADP
fcis-15813	124	27	parameters	parameter	NOUN
fcis-15813	124	28	and	and	CCONJ
fcis-15813	124	29	improve	improve	VERB
fcis-15813	124	30	computational	computational	ADJ
fcis-15813	124	31	speed	speed	NOUN
fcis-15813	124	32	,	,	PUNCT
fcis-15813	124	33	without	without	ADP
fcis-15813	124	34	compromising	compromise	VERB
fcis-15813	124	35	detection	detection	NOUN
fcis-15813	124	36	accuracy	accuracy	NOUN
fcis-15813	124	37	.	.	PUNCT
fcis-15813	125	1	when	when	SCONJ
fcis-15813	125	2	comparing	compare	VERB
fcis-15813	125	3	model	model	NOUN
fcis-15813	125	4	c	c	PROPN
fcis-15813	125	5	with	with	ADP
fcis-15813	125	6	model	model	PROPN
fcis-15813	125	7	b	b	PROPN
fcis-15813	125	8	in	in	ADP
fcis-15813	125	9	the	the	DET
fcis-15813	125	10	network	network	NOUN
fcis-15813	125	11	,	,	PUNCT
fcis-15813	125	12	it	it	PRON
fcis-15813	125	13	is	be	AUX
fcis-15813	125	14	observed	observe	VERB
fcis-15813	125	15	that	that	SCONJ
fcis-15813	125	16	incorporating	incorporate	VERB
fcis-15813	125	17	c3_dcnv2	c3_dcnv2	PROPN
fcis-15813	125	18	into	into	ADP
fcis-15813	125	19	the	the	DET
fcis-15813	125	20	network	network	NOUN
fcis-15813	125	21	's	's	PART
fcis-15813	125	22	neck	neck	NOUN
fcis-15813	125	23	simplifies	simplify	VERB
fcis-15813	125	24	the	the	DET
fcis-15813	125	25	acquisition	acquisition	NOUN
fcis-15813	125	26	of	of	ADP
fcis-15813	125	27	features	feature	NOUN
fcis-15813	125	28	from	from	ADP
fcis-15813	125	29	targets	target	NOUN
fcis-15813	125	30	of	of	ADP
fcis-15813	125	31	varying	vary	VERB
fcis-15813	125	32	sizes	size	NOUN
fcis-15813	125	33	and	and	CCONJ
fcis-15813	125	34	shapes	shape	NOUN
fcis-15813	125	35	,	,	PUNCT
fcis-15813	125	36	ultimately	ultimately	ADV
fcis-15813	125	37	enhancing	enhance	VERB
fcis-15813	125	38	network	network	NOUN
fcis-15813	125	39	detection	detection	NOUN
fcis-15813	125	40	accuracy	accuracy	NOUN
fcis-15813	125	41	.	.	PUNCT
fcis-15813	126	1	the	the	DET
fcis-15813	126	2	network	network	NOUN
fcis-15813	126	3	's	's	PART
fcis-15813	126	4	map@0.5	map@0.5	NOUN
fcis-15813	126	5	%	%	NOUN
fcis-15813	126	6	increases	increase	NOUN
fcis-15813	126	7	to	to	ADP
fcis-15813	126	8	92.4	92.4	NUM
fcis-15813	126	9	%	%	NOUN
fcis-15813	126	10	,	,	PUNCT
fcis-15813	126	11	accompanied	accompany	VERB
fcis-15813	126	12	by	by	ADP
fcis-15813	126	13	a	a	DET
fcis-15813	126	14	notable	notable	ADJ
fcis-15813	126	15	improvement	improvement	NOUN
fcis-15813	126	16	in	in	ADP
fcis-15813	126	17	the	the	DET
fcis-15813	126	18	recall	recall	NOUN
fcis-15813	126	19	rate	rate	NOUN
fcis-15813	126	20	;	;	PUNCT
fcis-15813	126	21	however	however	ADV
fcis-15813	126	22	,	,	PUNCT
fcis-15813	126	23	the	the	DET
fcis-15813	126	24	model	model	NOUN
fcis-15813	126	25	's	's	PART
fcis-15813	126	26	detection	detection	NOUN
fcis-15813	126	27	speed	speed	NOUN
fcis-15813	126	28	decreases	decrease	VERB
fcis-15813	126	29	to	to	ADP
fcis-15813	126	30	111.21f	111.21f	NUM
fcis-15813	126	31	/	/	SYM
fcis-15813	126	32	s.	s.	PROPN
fcis-15813	126	33	compared	compare	VERB
fcis-15813	126	34	to	to	ADP
fcis-15813	126	35	the	the	DET
fcis-15813	126	36	original	original	ADJ
fcis-15813	126	37	model	model	NOUN
fcis-15813	126	38	,	,	PUNCT
fcis-15813	126	39	the	the	DET
fcis-15813	126	40	network	network	NOUN
fcis-15813	126	41	's	's	PART
fcis-15813	126	42	map_0.5	map_0.5	NOUN
fcis-15813	126	43	%	%	NOUN
fcis-15813	126	44	exhibits	exhibit	VERB
fcis-15813	126	45	an	an	DET
fcis-15813	126	46	improvement	improvement	NOUN
fcis-15813	126	47	of	of	ADP
fcis-15813	126	48	1.4	1.4	NUM
fcis-15813	126	49	%	%	NOUN
fcis-15813	126	50	.	.	PUNCT
fcis-15813	127	1	additionally	additionally	ADV
fcis-15813	127	2	,	,	PUNCT
fcis-15813	127	3	the	the	DET
fcis-15813	127	4	recall	recall	NOUN
fcis-15813	127	5	rate	rate	NOUN
fcis-15813	127	6	increases	increase	NOUN
fcis-15813	127	7	from	from	ADP
fcis-15813	127	8	0.89	0.89	NUM
fcis-15813	127	9	to	to	ADP
fcis-15813	127	10	0.898	0.898	NUM
fcis-15813	127	11	,	,	PUNCT
fcis-15813	127	12	while	while	SCONJ
fcis-15813	127	13	the	the	DET
fcis-15813	127	14	number	number	NOUN
fcis-15813	127	15	of	of	ADP
fcis-15813	127	16	parameters	parameter	NOUN
fcis-15813	127	17	decreases	decrease	VERB
fcis-15813	127	18	to	to	ADP
fcis-15813	127	19	6.07	6.07	NUM
fcis-15813	127	20	(	(	PUNCT
fcis-15813	127	21	×10⁶	×10⁶	NOUN
fcis-15813	127	22	)	)	PUNCT
fcis-15813	127	23	.	.	PUNCT
fcis-15813	128	1	despite	despite	SCONJ
fcis-15813	128	2	a	a	DET
fcis-15813	128	3	decrease	decrease	NOUN
fcis-15813	128	4	in	in	ADP
fcis-15813	128	5	detection	detection	NOUN
fcis-15813	128	6	speed	speed	NOUN
fcis-15813	128	7	by	by	ADP
fcis-15813	128	8	27f	27f	NUM
fcis-15813	128	9	/	/	SYM
fcis-15813	128	10	s	s	PROPN
fcis-15813	128	11	,	,	PUNCT
fcis-15813	128	12	the	the	DET
fcis-15813	128	13	model	model	NOUN
fcis-15813	128	14	's	's	PART
fcis-15813	128	15	performance	performance	NOUN
fcis-15813	128	16	remains	remain	VERB
fcis-15813	128	17	suitable	suitable	ADJ
fcis-15813	128	18	for	for	ADP
fcis-15813	128	19	real	real	ADJ
fcis-15813	128	20	-	-	PUNCT
fcis-15813	128	21	time	time	NOUN
fcis-15813	128	22	detection	detection	NOUN
fcis-15813	128	23	.	.	PUNCT
fcis-15813	129	1	in	in	ADP
fcis-15813	129	2	conclusion	conclusion	NOUN
fcis-15813	129	3	,	,	PUNCT
fcis-15813	129	4	the	the	DET
fcis-15813	129	5	enhanced	enhanced	ADJ
fcis-15813	129	6	model	model	NOUN
fcis-15813	129	7	(	(	PUNCT
fcis-15813	129	8	model	model	NOUN
fcis-15813	129	9	c	c	NOUN
fcis-15813	129	10	)	)	PUNCT
fcis-15813	129	11	surpasses	surpass	VERB
fcis-15813	129	12	the	the	DET
fcis-15813	129	13	original	original	ADJ
fcis-15813	129	14	yolov5	yolov5	NOUN
fcis-15813	129	15	model	model	NOUN
fcis-15813	129	16	in	in	ADP
fcis-15813	129	17	map	map	NOUN
fcis-15813	129	18	,	,	PUNCT
fcis-15813	129	19	recall	recall	NOUN
fcis-15813	129	20	,	,	PUNCT
fcis-15813	129	21	and	and	CCONJ
fcis-15813	129	22	model	model	NOUN
fcis-15813	129	23	size	size	NOUN
fcis-15813	129	24	.	.	PUNCT
fcis-15813	130	1	79	79	NUM
fcis-15813	130	2	3.3.2	3.3.2	NUM
fcis-15813	130	3	.	.	PUNCT
fcis-15813	131	1	algorithm	algorithm	PROPN
fcis-15813	131	2	comparison	comparison	NOUN
fcis-15813	131	3	experiment	experiment	NOUN
fcis-15813	131	4	to	to	PART
fcis-15813	131	5	further	far	ADV
fcis-15813	131	6	validate	validate	VERB
fcis-15813	131	7	the	the	DET
fcis-15813	131	8	effectiveness	effectiveness	NOUN
fcis-15813	131	9	of	of	ADP
fcis-15813	131	10	the	the	DET
fcis-15813	131	11	improved	improved	ADJ
fcis-15813	131	12	algorithm	algorithm	NOUN
fcis-15813	131	13	model	model	NOUN
fcis-15813	131	14	,	,	PUNCT
fcis-15813	131	15	a	a	DET
fcis-15813	131	16	comparative	comparative	ADJ
fcis-15813	131	17	experiment	experiment	NOUN
fcis-15813	131	18	was	be	AUX
fcis-15813	131	19	conducted	conduct	VERB
fcis-15813	131	20	using	use	VERB
fcis-15813	131	21	the	the	DET
fcis-15813	131	22	dataset	dataset	NOUN
fcis-15813	131	23	,	,	PUNCT
fcis-15813	131	24	comparing	compare	VERB
fcis-15813	131	25	the	the	DET
fcis-15813	131	26	algorithm	algorithm	NOUN
fcis-15813	131	27	model	model	NOUN
fcis-15813	131	28	proposed	propose	VERB
fcis-15813	131	29	in	in	ADP
fcis-15813	131	30	this	this	DET
fcis-15813	131	31	paper	paper	NOUN
fcis-15813	131	32	with	with	ADP
fcis-15813	131	33	the	the	DET
fcis-15813	131	34	current	current	ADJ
fcis-15813	131	35	mainstream	mainstream	NOUN
fcis-15813	131	36	algorithm	algorithm	NOUN
fcis-15813	131	37	models	model	NOUN
fcis-15813	131	38	.	.	PUNCT
fcis-15813	132	1	the	the	DET
fcis-15813	132	2	main	main	ADJ
fcis-15813	132	3	comparative	comparative	ADJ
fcis-15813	132	4	algorithms	algorithm	NOUN
fcis-15813	132	5	included	include	VERB
fcis-15813	132	6	yolov5n	yolov5n	PROPN
fcis-15813	132	7	,	,	PUNCT
fcis-15813	132	8	yolov5s	yolov5s	PROPN
fcis-15813	132	9	,	,	PUNCT
fcis-15813	132	10	yolov5	yolov5	PROPN
fcis-15813	132	11	m	m	PROPN
fcis-15813	132	12	,	,	PUNCT
fcis-15813	132	13	yolov5l	yolov5l	PROPN
fcis-15813	132	14	,	,	PUNCT
fcis-15813	132	15	yolov5x	yolov5x	PROPN
fcis-15813	132	16	,	,	PUNCT
fcis-15813	132	17	yolov6	yolov6	PROPN
fcis-15813	132	18	,	,	PUNCT
fcis-15813	132	19	yolov6	yolov6	ADJ
fcis-15813	132	20	-	-	PUNCT
fcis-15813	132	21	tiny	tiny	ADJ
fcis-15813	132	22	,	,	PUNCT
fcis-15813	132	23	and	and	CCONJ
fcis-15813	132	24	yolov7	yolov7	ADV
fcis-15813	132	25	-	-	PUNCT
fcis-15813	132	26	tiny	tiny	ADJ
fcis-15813	132	27	,	,	PUNCT
fcis-15813	132	28	as	as	SCONJ
fcis-15813	132	29	shown	show	VERB
fcis-15813	132	30	in	in	ADP
fcis-15813	132	31	table	table	NOUN
fcis-15813	132	32	7	7	NUM
fcis-15813	132	33	.	.	PUNCT
fcis-15813	133	1	the	the	DET
fcis-15813	133	2	main	main	ADJ
fcis-15813	133	3	compared	compare	VERB
fcis-15813	133	4	algorithms	algorithm	NOUN
fcis-15813	133	5	were	be	AUX
fcis-15813	133	6	yolov5n	yolov5n	PROPN
fcis-15813	133	7	,	,	PUNCT
fcis-15813	133	8	yolov5s	yolov5s	PROPN
fcis-15813	133	9	,	,	PUNCT
fcis-15813	133	10	yolov5	yolov5	PROPN
fcis-15813	133	11	m	m	PROPN
fcis-15813	133	12	,	,	PUNCT
fcis-15813	133	13	yolov5l	yolov5l	PROPN
fcis-15813	133	14	,	,	PUNCT
fcis-15813	133	15	yolov5x	yolov5x	PROPN
fcis-15813	133	16	,	,	PUNCT
fcis-15813	133	17	yolov6	yolov6	PROPN
fcis-15813	133	18	,	,	PUNCT
fcis-15813	133	19	yolov6	yolov6	ADJ
fcis-15813	133	20	-	-	PUNCT
fcis-15813	133	21	tiny	tiny	ADJ
fcis-15813	133	22	,	,	PUNCT
fcis-15813	133	23	and	and	CCONJ
fcis-15813	133	24	yolov7	yolov7	ADV
fcis-15813	133	25	-	-	PUNCT
fcis-15813	133	26	tiny	tiny	ADJ
fcis-15813	133	27	.	.	PUNCT
fcis-15813	134	1	table	table	NOUN
fcis-15813	134	2	2	2	NUM
fcis-15813	134	3	shows	show	VERB
fcis-15813	134	4	the	the	DET
fcis-15813	134	5	results	result	NOUN
fcis-15813	134	6	.	.	PUNCT
fcis-15813	135	1	table	table	NOUN
fcis-15813	135	2	2	2	NUM
fcis-15813	135	3	.	.	PUNCT
fcis-15813	135	4	comparative	comparative	ADJ
fcis-15813	135	5	experiment	experiment	NOUN
fcis-15813	135	6	method	method	NOUN
fcis-15813	135	7	map_0.5/%	map_0.5/%	PROPN
fcis-15813	135	8	fps(f	fps(f	PROPN
fcis-15813	135	9	/	/	SYM
fcis-15813	135	10	s	s	NOUN
fcis-15813	135	11	)	)	PUNCT
fcis-15813	135	12	params(×106	params(×106	NOUN
fcis-15813	135	13	)	)	PUNCT
fcis-15813	135	14	size	size	NOUN
fcis-15813	135	15	/	/	SYM
fcis-15813	135	16	m	m	NOUN
fcis-15813	135	17	yolov5n	yolov5n	NOUN
fcis-15813	135	18	86.6	86.6	NUM
fcis-15813	135	19	136.99	136.99	NUM
fcis-15813	135	20	1.77	1.77	NUM
fcis-15813	135	21	3.7	3.7	NUM
fcis-15813	135	22	yolov5s	yolov5s	NOUN
fcis-15813	135	23	91	91	NUM
fcis-15813	135	24	138.89	138.89	NUM
fcis-15813	135	25	7.02	7.02	NUM
fcis-15813	135	26	13.7	13.7	NUM
fcis-15813	135	27	yolov5	yolov5	NOUN
fcis-15813	135	28	m	m	VERB
fcis-15813	135	29	91.4	91.4	NUM
fcis-15813	135	30	107.53	107.53	NUM
fcis-15813	135	31	20.89	20.89	NUM
fcis-15813	135	32	40.2	40.2	NUM
fcis-15813	135	33	yolov5l	yolov5l	NOUN
fcis-15813	135	34	91.7	91.7	NUM
fcis-15813	135	35	83.33	83.33	NUM
fcis-15813	135	36	46.13	46.13	NUM
fcis-15813	135	37	88.5	88.5	NUM
fcis-15813	135	38	yolov5x	yolov5x	PROPN
fcis-15813	135	39	91	91	NUM
fcis-15813	135	40	60.6	60.6	NUM
fcis-15813	135	41	86.24	86.24	NUM
fcis-15813	135	42	165.1	165.1	NUM
fcis-15813	135	43	yolov7tiny	yolov7tiny	PROPN
fcis-15813	135	44	91.3	91.3	NUM
fcis-15813	135	45	60.61	60.61	NUM
fcis-15813	135	46	3.02	3.02	NUM
fcis-15813	135	47	11.7	11.7	NUM
fcis-15813	135	48	ours	ours	PRON
fcis-15813	135	49	92.4	92.4	NUM
fcis-15813	135	50	111.11	111.11	NUM
fcis-15813	135	51	6.07	6.07	NUM
fcis-15813	135	52	12	12	NUM
fcis-15813	135	53	based	base	VERB
fcis-15813	135	54	on	on	ADP
fcis-15813	135	55	the	the	DET
fcis-15813	135	56	results	result	NOUN
fcis-15813	135	57	in	in	ADP
fcis-15813	135	58	the	the	DET
fcis-15813	135	59	comparative	comparative	ADJ
fcis-15813	135	60	table	table	NOUN
fcis-15813	135	61	,	,	PUNCT
fcis-15813	135	62	the	the	DET
fcis-15813	135	63	algorithm	algorithm	NOUN
fcis-15813	135	64	proposed	propose	VERB
fcis-15813	135	65	in	in	ADP
fcis-15813	135	66	this	this	DET
fcis-15813	135	67	study	study	NOUN
fcis-15813	135	68	exhibits	exhibit	VERB
fcis-15813	135	69	the	the	DET
fcis-15813	135	70	highest	high	ADJ
fcis-15813	135	71	level	level	NOUN
fcis-15813	135	72	of	of	ADP
fcis-15813	135	73	detection	detection	NOUN
fcis-15813	135	74	accuracy	accuracy	NOUN
fcis-15813	135	75	when	when	SCONJ
fcis-15813	135	76	compared	compare	VERB
fcis-15813	135	77	to	to	ADP
fcis-15813	135	78	other	other	ADJ
fcis-15813	135	79	commonly	commonly	ADV
fcis-15813	135	80	used	use	VERB
fcis-15813	135	81	detection	detection	NOUN
fcis-15813	135	82	models	model	NOUN
fcis-15813	135	83	,	,	PUNCT
fcis-15813	135	84	while	while	SCONJ
fcis-15813	135	85	also	also	ADV
fcis-15813	135	86	maintaining	maintain	VERB
fcis-15813	135	87	a	a	DET
fcis-15813	135	88	certain	certain	ADJ
fcis-15813	135	89	level	level	NOUN
fcis-15813	135	90	of	of	ADP
fcis-15813	135	91	detection	detection	NOUN
fcis-15813	135	92	speed	speed	NOUN
fcis-15813	135	93	.	.	PUNCT
fcis-15813	136	1	the	the	DET
fcis-15813	136	2	enhanced	enhanced	ADJ
fcis-15813	136	3	algorithm	algorithm	NOUN
fcis-15813	136	4	,	,	PUNCT
fcis-15813	136	5	map_0.5/%	map_0.5/%	PROPN
fcis-15813	136	6	,	,	PUNCT
fcis-15813	136	7	compared	compare	VERB
fcis-15813	136	8	to	to	ADP
fcis-15813	136	9	the	the	DET
fcis-15813	136	10	original	original	ADJ
fcis-15813	136	11	yolov5s	yolov5s	PROPN
fcis-15813	136	12	algorithm	algorithm	NOUN
fcis-15813	136	13	,	,	PUNCT
fcis-15813	136	14	demonstrates	demonstrate	VERB
fcis-15813	136	15	a	a	DET
fcis-15813	136	16	1.4	1.4	NUM
fcis-15813	136	17	%	%	NOUN
fcis-15813	136	18	enhancement	enhancement	NOUN
fcis-15813	136	19	in	in	ADP
fcis-15813	136	20	detection	detection	NOUN
fcis-15813	136	21	accuracy	accuracy	NOUN
fcis-15813	136	22	for	for	ADP
fcis-15813	136	23	the	the	DET
fcis-15813	136	24	model	model	NOUN
fcis-15813	136	25	.	.	PUNCT
fcis-15813	137	1	it	it	PRON
fcis-15813	137	2	achieves	achieve	VERB
fcis-15813	137	3	a	a	DET
fcis-15813	137	4	5.8	5.8	NUM
fcis-15813	137	5	%	%	NOUN
fcis-15813	137	6	enhancement	enhancement	NOUN
fcis-15813	137	7	compared	compare	VERB
fcis-15813	137	8	to	to	ADP
fcis-15813	137	9	yolov5n	yolov5n	PROPN
fcis-15813	137	10	,	,	PUNCT
fcis-15813	137	11	a	a	DET
fcis-15813	137	12	0.7	0.7	NUM
fcis-15813	137	13	%	%	NOUN
fcis-15813	137	14	enhancement	enhancement	NOUN
fcis-15813	137	15	compared	compare	VERB
fcis-15813	137	16	to	to	ADP
fcis-15813	137	17	yolov5l	yolov5l	PROPN
fcis-15813	137	18	,	,	PUNCT
fcis-15813	137	19	a	a	DET
fcis-15813	137	20	1	1	NUM
fcis-15813	137	21	%	%	NOUN
fcis-15813	137	22	enhancement	enhancement	NOUN
fcis-15813	137	23	compared	compare	VERB
fcis-15813	137	24	to	to	ADP
fcis-15813	137	25	yolov5	yolov5	NOUN
fcis-15813	137	26	m	m	PROPN
fcis-15813	137	27	,	,	PUNCT
fcis-15813	137	28	and	and	CCONJ
fcis-15813	137	29	a	a	DET
fcis-15813	137	30	1.4	1.4	NUM
fcis-15813	137	31	%	%	NOUN
fcis-15813	137	32	enhancement	enhancement	NOUN
fcis-15813	137	33	compared	compare	VERB
fcis-15813	137	34	to	to	ADP
fcis-15813	137	35	yolov5x	yolov5x	PROPN
fcis-15813	137	36	.	.	PUNCT
fcis-15813	138	1	after	after	ADP
fcis-15813	138	2	network	network	NOUN
fcis-15813	138	3	improvement	improvement	NOUN
fcis-15813	138	4	,	,	PUNCT
fcis-15813	138	5	the	the	DET
fcis-15813	138	6	model	model	NOUN
fcis-15813	138	7	's	's	PART
fcis-15813	138	8	detection	detection	NOUN
fcis-15813	138	9	speed	speed	NOUN
fcis-15813	138	10	in	in	ADP
fcis-15813	138	11	fps	fps	NOUN
fcis-15813	138	12	has	have	AUX
fcis-15813	138	13	experienced	experience	VERB
fcis-15813	138	14	a	a	DET
fcis-15813	138	15	slight	slight	ADJ
fcis-15813	138	16	decrease	decrease	NOUN
fcis-15813	138	17	due	due	ADP
fcis-15813	138	18	to	to	ADP
fcis-15813	138	19	the	the	DET
fcis-15813	138	20	addition	addition	NOUN
fcis-15813	138	21	of	of	ADP
fcis-15813	138	22	c3_dcnv2	c3_dcnv2	PROPN
fcis-15813	138	23	,	,	PUNCT
fcis-15813	138	24	resulting	result	VERB
fcis-15813	138	25	in	in	ADP
fcis-15813	138	26	increased	increase	VERB
fcis-15813	138	27	postprocessing	postprocessing	NOUN
fcis-15813	138	28	time	time	NOUN
fcis-15813	138	29	and	and	CCONJ
fcis-15813	138	30	a	a	DET
fcis-15813	138	31	minor	minor	ADJ
fcis-15813	138	32	decrease	decrease	NOUN
fcis-15813	138	33	in	in	ADP
fcis-15813	138	34	detection	detection	NOUN
fcis-15813	138	35	speed	speed	NOUN
fcis-15813	138	36	.	.	PUNCT
fcis-15813	139	1	however	however	ADV
fcis-15813	139	2	,	,	PUNCT
fcis-15813	139	3	it	it	PRON
fcis-15813	139	4	still	still	ADV
fcis-15813	139	5	satisfies	satisfy	VERB
fcis-15813	139	6	the	the	DET
fcis-15813	139	7	real	real	ADJ
fcis-15813	139	8	-	-	PUNCT
fcis-15813	139	9	time	time	NOUN
fcis-15813	139	10	detection	detection	NOUN
fcis-15813	139	11	requirements	requirement	NOUN
fcis-15813	139	12	.	.	PUNCT
fcis-15813	140	1	both	both	CCONJ
fcis-15813	140	2	the	the	DET
fcis-15813	140	3	enhanced	enhanced	ADJ
fcis-15813	140	4	algorithm	algorithm	NOUN
fcis-15813	140	5	model	model	NOUN
fcis-15813	140	6	and	and	CCONJ
fcis-15813	140	7	yolov7	yolov7	NOUN
fcis-15813	140	8	-	-	PUNCT
fcis-15813	140	9	tiny	tiny	ADJ
fcis-15813	140	10	have	have	AUX
fcis-15813	140	11	achieved	achieve	VERB
fcis-15813	140	12	a	a	DET
fcis-15813	140	13	1.1	1.1	NUM
fcis-15813	140	14	%	%	NOUN
fcis-15813	140	15	increase	increase	NOUN
fcis-15813	140	16	in	in	ADP
fcis-15813	140	17	detection	detection	NOUN
fcis-15813	140	18	accuracy	accuracy	NOUN
fcis-15813	140	19	,	,	PUNCT
fcis-15813	140	20	and	and	CCONJ
fcis-15813	140	21	the	the	DET
fcis-15813	140	22	network	network	NOUN
fcis-15813	140	23	parameters	parameter	NOUN
fcis-15813	140	24	and	and	CCONJ
fcis-15813	140	25	detection	detection	NOUN
fcis-15813	140	26	speed	speed	NOUN
fcis-15813	140	27	have	have	AUX
fcis-15813	140	28	also	also	ADV
fcis-15813	140	29	shown	show	VERB
fcis-15813	140	30	significant	significant	ADJ
fcis-15813	140	31	improvement	improvement	NOUN
fcis-15813	140	32	.	.	PUNCT
fcis-15813	141	1	in	in	ADP
fcis-15813	141	2	summary	summary	NOUN
fcis-15813	141	3	,	,	PUNCT
fcis-15813	141	4	the	the	DET
fcis-15813	141	5	proposed	propose	VERB
fcis-15813	141	6	gdyolo	gdyolo	NOUN
fcis-15813	141	7	algorithm	algorithm	NOUN
fcis-15813	141	8	exhibits	exhibit	VERB
fcis-15813	141	9	strong	strong	ADJ
fcis-15813	141	10	real	real	ADJ
fcis-15813	141	11	-	-	PUNCT
fcis-15813	141	12	time	time	NOUN
fcis-15813	141	13	performance	performance	NOUN
fcis-15813	141	14	in	in	ADP
fcis-15813	141	15	datasets	dataset	NOUN
fcis-15813	141	16	containing	contain	VERB
fcis-15813	141	17	precision	precision	NOUN
fcis-15813	141	18	-	-	PUNCT
fcis-15813	141	19	shaped	shape	VERB
fcis-15813	141	20	parts	part	NOUN
fcis-15813	141	21	,	,	PUNCT
fcis-15813	141	22	providing	provide	VERB
fcis-15813	141	23	valuable	valuable	ADJ
fcis-15813	141	24	insights	insight	NOUN
fcis-15813	141	25	for	for	ADP
fcis-15813	141	26	detecting	detect	VERB
fcis-15813	141	27	and	and	CCONJ
fcis-15813	141	28	identifying	identify	VERB
fcis-15813	141	29	precisionshaped	precisionshaped	ADJ
fcis-15813	141	30	parts	part	NOUN
fcis-15813	141	31	as	as	ADV
fcis-15813	141	32	well	well	ADV
fcis-15813	141	33	as	as	ADP
fcis-15813	141	34	other	other	ADJ
fcis-15813	141	35	industrial	industrial	ADJ
fcis-15813	141	36	components	component	NOUN
fcis-15813	141	37	.	.	PUNCT
fcis-15813	142	1	this	this	PRON
fcis-15813	142	2	validates	validate	VERB
fcis-15813	142	3	the	the	DET
fcis-15813	142	4	feasibility	feasibility	NOUN
fcis-15813	142	5	and	and	CCONJ
fcis-15813	142	6	superiority	superiority	NOUN
fcis-15813	142	7	of	of	ADP
fcis-15813	142	8	the	the	DET
fcis-15813	142	9	algorithm	algorithm	NOUN
fcis-15813	142	10	proposed	propose	VERB
fcis-15813	142	11	in	in	ADP
fcis-15813	142	12	this	this	DET
fcis-15813	142	13	paper	paper	NOUN
fcis-15813	142	14	.	.	PUNCT
fcis-15813	143	1	4	4	X
fcis-15813	143	2	.	.	X
fcis-15813	143	3	conclusion	conclusion	NOUN
fcis-15813	143	4	this	this	DET
fcis-15813	143	5	paper	paper	NOUN
fcis-15813	143	6	proposes	propose	VERB
fcis-15813	143	7	improvements	improvement	NOUN
fcis-15813	143	8	to	to	ADP
fcis-15813	143	9	the	the	DET
fcis-15813	143	10	yolo	yolo	ADJ
fcis-15813	143	11	algorithm	algorithm	NOUN
fcis-15813	143	12	to	to	PART
fcis-15813	143	13	overcome	overcome	VERB
fcis-15813	143	14	the	the	DET
fcis-15813	143	15	limitations	limitation	NOUN
fcis-15813	143	16	of	of	ADP
fcis-15813	143	17	traditional	traditional	ADJ
fcis-15813	143	18	object	object	NOUN
fcis-15813	143	19	detection	detection	NOUN
fcis-15813	143	20	methods	method	NOUN
fcis-15813	143	21	in	in	ADP
fcis-15813	143	22	handling	handle	VERB
fcis-15813	143	23	precision	precision	NOUN
fcis-15813	143	24	irregular	irregular	ADJ
fcis-15813	143	25	parts	part	NOUN
fcis-15813	143	26	.	.	PUNCT
fcis-15813	144	1	these	these	DET
fcis-15813	144	2	improvements	improvement	NOUN
fcis-15813	144	3	enable	enable	VERB
fcis-15813	144	4	the	the	DET
fcis-15813	144	5	application	application	NOUN
fcis-15813	144	6	of	of	ADP
fcis-15813	144	7	the	the	DET
fcis-15813	144	8	yolo	yolo	ADJ
fcis-15813	144	9	algorithm	algorithm	NOUN
fcis-15813	144	10	in	in	ADP
fcis-15813	144	11	aerospace	aerospace	NOUN
fcis-15813	144	12	precision	precision	NOUN
fcis-15813	144	13	parts	part	NOUN
fcis-15813	144	14	inspection	inspection	NOUN
fcis-15813	144	15	,	,	PUNCT
fcis-15813	144	16	enabling	enable	VERB
fcis-15813	144	17	real	real	ADJ
fcis-15813	144	18	-	-	PUNCT
fcis-15813	144	19	time	time	NOUN
fcis-15813	144	20	detection	detection	NOUN
fcis-15813	144	21	of	of	ADP
fcis-15813	144	22	such	such	ADJ
fcis-15813	144	23	parts	part	NOUN
fcis-15813	144	24	.	.	PUNCT
fcis-15813	145	1	a	a	DET
fcis-15813	145	2	lightweight	lightweight	ADJ
fcis-15813	145	3	feature	feature	NOUN
fcis-15813	145	4	extraction	extraction	NOUN
fcis-15813	145	5	network	network	NOUN
fcis-15813	145	6	is	be	AUX
fcis-15813	145	7	employed	employ	VERB
fcis-15813	145	8	.	.	PUNCT
fcis-15813	146	1	modifications	modification	NOUN
fcis-15813	146	2	are	be	AUX
fcis-15813	146	3	made	make	VERB
fcis-15813	146	4	to	to	ADP
fcis-15813	146	5	the	the	DET
fcis-15813	146	6	c3	c3	PROPN
fcis-15813	146	7	module	module	NOUN
fcis-15813	146	8	of	of	ADP
fcis-15813	146	9	the	the	DET
fcis-15813	146	10	neck	neck	NOUN
fcis-15813	146	11	network	network	NOUN
fcis-15813	146	12	.	.	PUNCT
fcis-15813	147	1	experiments	experiment	NOUN
fcis-15813	147	2	are	be	AUX
fcis-15813	147	3	performed	perform	VERB
fcis-15813	147	4	on	on	ADP
fcis-15813	147	5	a	a	DET
fcis-15813	147	6	dataset	dataset	NOUN
fcis-15813	147	7	of	of	ADP
fcis-15813	147	8	precision	precision	NOUN
fcis-15813	147	9	irregular	irregular	ADJ
fcis-15813	147	10	parts	part	NOUN
fcis-15813	147	11	to	to	PART
fcis-15813	147	12	validate	validate	VERB
fcis-15813	147	13	the	the	DET
fcis-15813	147	14	proposed	propose	VERB
fcis-15813	147	15	approach	approach	NOUN
fcis-15813	147	16	.	.	PUNCT
fcis-15813	148	1	the	the	DET
fcis-15813	148	2	experimental	experimental	ADJ
fcis-15813	148	3	results	result	NOUN
fcis-15813	148	4	demonstrate	demonstrate	VERB
fcis-15813	148	5	that	that	SCONJ
fcis-15813	148	6	the	the	DET
fcis-15813	148	7	ht	ht	PROPN
fcis-15813	148	8	-	-	PUNCT
fcis-15813	148	9	yolo	yolo	ADJ
fcis-15813	148	10	algorithm	algorithm	NOUN
fcis-15813	148	11	enhances	enhance	VERB
fcis-15813	148	12	the	the	DET
fcis-15813	148	13	detection	detection	NOUN
fcis-15813	148	14	accuracy	accuracy	NOUN
fcis-15813	148	15	of	of	ADP
fcis-15813	148	16	the	the	DET
fcis-15813	148	17	original	original	ADJ
fcis-15813	148	18	algorithm	algorithm	NOUN
fcis-15813	148	19	by	by	ADP
fcis-15813	148	20	1.4	1.4	NUM
fcis-15813	148	21	%	%	NOUN
fcis-15813	148	22	.	.	PUNCT
fcis-15813	149	1	the	the	DET
fcis-15813	149	2	network	network	NOUN
fcis-15813	149	3	achieves	achieve	VERB
fcis-15813	149	4	a	a	DET
fcis-15813	149	5	detection	detection	NOUN
fcis-15813	149	6	speed	speed	NOUN
fcis-15813	149	7	of	of	ADP
fcis-15813	149	8	111.11f	111.11f	NUM
fcis-15813	149	9	/	/	SYM
fcis-15813	149	10	s	s	PROPN
fcis-15813	149	11	,	,	PUNCT
fcis-15813	149	12	meeting	meet	VERB
fcis-15813	149	13	real	real	ADJ
fcis-15813	149	14	-	-	PUNCT
fcis-15813	149	15	time	time	NOUN
fcis-15813	149	16	detection	detection	NOUN
fcis-15813	149	17	requirements	requirement	NOUN
fcis-15813	149	18	without	without	ADP
fcis-15813	149	19	compromising	compromise	VERB
fcis-15813	149	20	detection	detection	NOUN
fcis-15813	149	21	accuracy	accuracy	NOUN
fcis-15813	149	22	.	.	PUNCT
fcis-15813	150	1	additionally	additionally	ADV
fcis-15813	150	2	,	,	PUNCT
fcis-15813	150	3	the	the	DET
fcis-15813	150	4	algorithm	algorithm	NOUN
fcis-15813	150	5	demonstrates	demonstrate	VERB
fcis-15813	150	6	its	its	PRON
fcis-15813	150	7	effectiveness	effectiveness	NOUN
fcis-15813	150	8	and	and	CCONJ
fcis-15813	150	9	superiority	superiority	NOUN
fcis-15813	150	10	in	in	ADP
fcis-15813	150	11	precisely	precisely	ADV
fcis-15813	150	12	detecting	detect	VERB
fcis-15813	150	13	non	non	ADJ
fcis-15813	150	14	-	-	ADJ
fcis-15813	150	15	standard	standard	ADJ
fcis-15813	150	16	parts	part	NOUN
fcis-15813	150	17	due	due	ADP
fcis-15813	150	18	to	to	ADP
fcis-15813	150	19	its	its	PRON
fcis-15813	150	20	robustness	robustness	NOUN
fcis-15813	150	21	in	in	ADP
fcis-15813	150	22	various	various	ADJ
fcis-15813	150	23	dataset	dataset	NOUN
fcis-15813	150	24	environments	environment	NOUN
fcis-15813	150	25	.	.	PUNCT
fcis-15813	151	1	future	future	ADJ
fcis-15813	151	2	research	research	NOUN
fcis-15813	151	3	can	can	AUX
fcis-15813	151	4	explore	explore	VERB
fcis-15813	151	5	network	network	NOUN
fcis-15813	151	6	pruning	prune	VERB
fcis-15813	151	7	and	and	CCONJ
fcis-15813	151	8	lightweight	lightweight	ADJ
fcis-15813	151	9	methods	method	NOUN
fcis-15813	151	10	to	to	PART
fcis-15813	151	11	further	far	ADV
fcis-15813	151	12	reduce	reduce	VERB
fcis-15813	151	13	network	network	NOUN
fcis-15813	151	14	complexity	complexity	NOUN
fcis-15813	151	15	.	.	PUNCT
fcis-15813	152	1	acknowledgments	acknowledgment	NOUN
fcis-15813	152	2	this	this	DET
fcis-15813	152	3	research	research	NOUN
fcis-15813	152	4	was	be	AUX
fcis-15813	152	5	funded	fund	VERB
fcis-15813	152	6	by	by	ADP
fcis-15813	152	7	the	the	DET
fcis-15813	152	8	development	development	NOUN
fcis-15813	152	9	of	of	ADP
fcis-15813	152	10	special	special	ADJ
fcis-15813	152	11	structure	structure	NOUN
fcis-15813	152	12	technology	technology	NOUN
fcis-15813	152	13	and	and	CCONJ
fcis-15813	152	14	simulation	simulation	NOUN
fcis-15813	152	15	technology	technology	NOUN
fcis-15813	152	16	of	of	ADP
fcis-15813	152	17	high	high	ADJ
fcis-15813	152	18	precision	precision	NOUN
fcis-15813	152	19	servo	servo	NOUN
fcis-15813	152	20	motor	motor	NOUN
fcis-15813	152	21	for	for	ADP
fcis-15813	152	22	aerospace	aerospace	NOUN
fcis-15813	152	23	application	application	NOUN
fcis-15813	152	24	[	[	X
fcis-15813	152	25	project	project	NOUN
fcis-15813	152	26	no	no	NOUN
fcis-15813	152	27	.	.	PUNCT
fcis-15813	153	1	2022zd027	2022zd027	NUM
fcis-15813	153	2	]	]	X
fcis-15813	153	3	,	,	PUNCT
fcis-15813	153	4	as	as	ADV
fcis-15813	153	5	well	well	ADV
fcis-15813	153	6	as	as	ADP
fcis-15813	153	7	the	the	DET
fcis-15813	153	8	tianjin	tianjin	PROPN
fcis-15813	153	9	research	research	PROPN
fcis-15813	153	10	innovation	innovation	NOUN
fcis-15813	153	11	project	project	NOUN
fcis-15813	153	12	for	for	ADP
fcis-15813	153	13	postgraduate	postgraduate	ADJ
fcis-15813	153	14	students	student	NOUN
fcis-15813	154	1	[	[	X
fcis-15813	154	2	project	project	VERB
fcis-15813	154	3	no	no	NOUN
fcis-15813	154	4	.	.	PUNCT
fcis-15813	155	1	2022	2022	NUM
fcis-15813	155	2	skyz	skyz	NOUN
fcis-15813	155	3	294	294	NUM
fcis-15813	155	4	]	]	PUNCT
fcis-15813	155	5	.	.	PUNCT
fcis-15813	156	1	references	reference	NOUN
fcis-15813	156	2	[	[	X
fcis-15813	156	3	1	1	NUM
fcis-15813	156	4	]	]	X
fcis-15813	156	5	zhang	zhang	PROPN
fcis-15813	156	6	,	,	PUNCT
fcis-15813	156	7	y.	y.	PROPN
fcis-15813	156	8	,	,	PUNCT
fcis-15813	156	9	liang	liang	PROPN
fcis-15813	156	10	,	,	PUNCT
fcis-15813	156	11	j.	j.	PROPN
fcis-15813	156	12	,	,	PUNCT
fcis-15813	156	13	lu	lu	PROPN
fcis-15813	156	14	,	,	PUNCT
fcis-15813	156	15	q.	q.	PROPN
fcis-15813	156	16	,	,	PUNCT
fcis-15813	156	17	et	et	PROPN
fcis-15813	156	18	al	al	PROPN
fcis-15813	156	19	.	.	PROPN
fcis-15813	156	20	(	(	PUNCT
fcis-15813	156	21	2022	2022	NUM
fcis-15813	156	22	)	)	PUNCT
fcis-15813	156	23	.	.	PUNCT
fcis-15813	157	1	a	a	DET
fcis-15813	157	2	novel	novel	ADJ
fcis-15813	157	3	efficient	efficient	ADJ
fcis-15813	157	4	convolutional	convolutional	ADJ
fcis-15813	157	5	neural	neural	ADJ
fcis-15813	157	6	algorithm	algorithm	NOUN
fcis-15813	157	7	for	for	ADP
fcis-15813	157	8	multi	multi	ADJ
fcis-15813	157	9	-	-	ADJ
fcis-15813	157	10	category	category	ADJ
fcis-15813	157	11	aliasing	aliasing	NOUN
fcis-15813	157	12	hardware	hardware	NOUN
fcis-15813	157	13	recognition	recognition	NOUN
fcis-15813	157	14	.	.	PUNCT
fcis-15813	158	1	sensors	sensor	NOUN
fcis-15813	158	2	,	,	PUNCT
fcis-15813	158	3	22(14	22(14	NOUN
fcis-15813	158	4	)	)	PUNCT
fcis-15813	158	5	,	,	PUNCT
fcis-15813	158	6	5358	5358	NUM
fcis-15813	158	7	.	.	PUNCT
fcis-15813	159	1	[	[	X
fcis-15813	159	2	2	2	X
fcis-15813	159	3	]	]	PUNCT
fcis-15813	159	4	girs	gir	NOUN
fcis-15813	159	5	hick	hick	PROPN
fcis-15813	159	6	,	,	PUNCT
fcis-15813	159	7	r.	r.	PROPN
fcis-15813	159	8	,	,	PUNCT
fcis-15813	159	9	donahue	donahue	PROPN
fcis-15813	159	10	,	,	PUNCT
fcis-15813	159	11	j.	j.	PROPN
fcis-15813	159	12	,	,	PUNCT
fcis-15813	159	13	darrell	darrell	PROPN
fcis-15813	159	14	,	,	PUNCT
fcis-15813	159	15	t.	t.	PROPN
fcis-15813	159	16	,	,	PUNCT
fcis-15813	159	17	et	et	PROPN
fcis-15813	159	18	al	al	PROPN
fcis-15813	159	19	.	.	PUNCT
fcis-15813	159	20	(	(	PUNCT
fcis-15813	159	21	2014	2014	NUM
fcis-15813	159	22	)	)	PUNCT
fcis-15813	159	23	.	.	PUNCT
fcis-15813	160	1	rich	rich	ADJ
fcis-15813	160	2	feature	feature	NOUN
fcis-15813	160	3	hierarchies	hierarchy	NOUN
fcis-15813	160	4	for	for	ADP
fcis-15813	160	5	accurate	accurate	ADJ
fcis-15813	160	6	object	object	NOUN
fcis-15813	160	7	detection	detection	NOUN
fcis-15813	160	8	and	and	CCONJ
fcis-15813	160	9	semantic	semantic	ADJ
fcis-15813	160	10	segmentation	segmentation	NOUN
fcis-15813	160	11	.	.	PUNCT
fcis-15813	161	1	in	in	ADP
fcis-15813	161	2	ieee	ieee	PROPN
fcis-15813	161	3	conference	conference	NOUN
fcis-15813	161	4	on	on	ADP
fcis-15813	161	5	computer	computer	NOUN
fcis-15813	161	6	vision	vision	NOUN
fcis-15813	161	7	and	and	CCONJ
fcis-15813	161	8	pattern	pattern	NOUN
fcis-15813	161	9	recognition	recognition	NOUN
fcis-15813	161	10	(	(	PUNCT
fcis-15813	161	11	pp	pp	ADJ
fcis-15813	161	12	.	.	PUNCT
fcis-15813	162	1	580	580	NUM
fcis-15813	162	2	-	-	SYM
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fcis-15813	162	4	)	)	PUNCT
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fcis-15813	163	3	]	]	X
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fcis-15813	163	5	s	s	X
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fcis-15813	163	7	,	,	PUNCT
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fcis-15813	163	9	(	(	PUNCT
fcis-15813	163	10	2015	2015	NUM
fcis-15813	163	11	)	)	PUNCT
fcis-15813	163	12	.	.	PUNCT
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fcis-15813	164	2	r	r	NOUN
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fcis-15813	164	4	cnn	cnn	NOUN
fcis-15813	164	5	.	.	PUNCT
fcis-15813	165	1	in	in	ADP
fcis-15813	165	2	international	international	ADJ
fcis-15813	165	3	conference	conference	NOUN
fcis-15813	165	4	on	on	ADP
fcis-15813	165	5	computer	computer	NOUN
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fcis-15813	165	7	(	(	PUNCT
fcis-15813	165	8	pp	pp	ADJ
fcis-15813	165	9	.	.	PUNCT
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fcis-15813	165	11	-	-	SYM
fcis-15813	165	12	1448	1448	NUM
fcis-15813	165	13	)	)	PUNCT
fcis-15813	165	14	.	.	PUNCT
fcis-15813	166	1	[	[	X
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fcis-15813	166	3	]	]	X
fcis-15813	166	4	ren	ren	PROPN
fcis-15813	166	5	,	,	PUNCT
fcis-15813	166	6	s.	s.	PROPN
fcis-15813	166	7	,	,	PUNCT
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fcis-15813	166	9	,	,	PUNCT
fcis-15813	166	10	k.	k.	PROPN
fcis-15813	166	11	,	,	PUNCT
fcis-15813	166	12	gir	gir	PROPN
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fcis-15813	166	15	,	,	PUNCT
fcis-15813	166	16	r.	r.	PROPN
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fcis-15813	166	23	2015	2015	NUM
fcis-15813	166	24	)	)	PUNCT
fcis-15813	166	25	.	.	PUNCT
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fcis-15813	167	2	r	r	X
fcis-15813	167	3	-	-	PUNCT
fcis-15813	167	4	cnn	cnn	NOUN
fcis-15813	167	5	:	:	PUNCT
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fcis-15813	167	8	-	-	PUNCT
fcis-15813	167	9	time	time	NOUN
fcis-15813	167	10	object	object	NOUN
fcis-15813	167	11	detection	detection	NOUN
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fcis-15813	167	13	region	region	NOUN
fcis-15813	167	14	proposal	proposal	NOUN
fcis-15813	167	15	networks	network	NOUN
fcis-15813	167	16	.	.	PUNCT
fcis-15813	168	1	in	in	ADP
fcis-15813	168	2	neural	neural	ADJ
fcis-15813	168	3	information	information	NOUN
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fcis-15813	168	5	systems	system	NOUN
fcis-15813	168	6	(	(	PUNCT
fcis-15813	168	7	pp	pp	ADJ
fcis-15813	168	8	.	.	PUNCT
fcis-15813	168	9	9199	9199	NUM
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fcis-15813	169	1	[	[	X
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fcis-15813	169	3	]	]	X
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fcis-15813	169	5	,	,	PUNCT
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fcis-15813	169	7	,	,	PUNCT
fcis-15813	169	8	anguelov	anguelov	PROPN
fcis-15813	169	9	,	,	PUNCT
fcis-15813	169	10	d.	d.	PROPN
fcis-15813	169	11	,	,	PUNCT
fcis-15813	169	12	erhan	erhan	PROPN
fcis-15813	169	13	,	,	PUNCT
fcis-15813	169	14	d.	d.	PROPN
fcis-15813	169	15	,	,	PUNCT
fcis-15813	169	16	szegedy	szegedy	PROPN
fcis-15813	169	17	,	,	PUNCT
fcis-15813	169	18	c.	c.	PROPN
fcis-15813	169	19	,	,	PUNCT
fcis-15813	169	20	&	&	CCONJ
fcis-15813	169	21	reed	reed	PROPN
fcis-15813	169	22	,	,	PUNCT
fcis-15813	169	23	s.	s.	PROPN
fcis-15813	169	24	(	(	PUNCT
fcis-15813	169	25	2016	2016	NUM
fcis-15813	169	26	)	)	PUNCT
fcis-15813	169	27	.	.	PUNCT
fcis-15813	170	1	ssd	ssd	PROPN
fcis-15813	170	2	:	:	PUNCT
fcis-15813	170	3	single	single	ADJ
fcis-15813	170	4	shot	shoot	VERB
fcis-15813	170	5	multi	multi	PROPN
fcis-15813	170	6	box	box	PROPN
fcis-15813	170	7	detector	detector	NOUN
fcis-15813	170	8	.	.	PUNCT
fcis-15813	171	1	in	in	ADP
fcis-15813	171	2	european	european	ADJ
fcis-15813	171	3	conference	conference	PROPN
fcis-15813	171	4	on	on	ADP
fcis-15813	171	5	computer	computer	NOUN
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fcis-15813	171	7	(	(	PUNCT
fcis-15813	171	8	pp	pp	ADJ
fcis-15813	171	9	.	.	PUNCT
fcis-15813	171	10	21	21	NUM
fcis-15813	171	11	-	-	SYM
fcis-15813	171	12	37	37	NUM
fcis-15813	171	13	)	)	PUNCT
fcis-15813	171	14	.	.	PUNCT
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fcis-15813	172	4	.	.	PUNCT
fcis-15813	173	1	[	[	X
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fcis-15813	173	3	]	]	X
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fcis-15813	173	5	,	,	PUNCT
fcis-15813	173	6	j.	j.	PROPN
fcis-15813	173	7	,	,	PUNCT
fcis-15813	173	8	div	div	PROPN
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fcis-15813	173	11	,	,	PUNCT
fcis-15813	173	12	s.	s.	PROPN
fcis-15813	173	13	,	,	PUNCT
fcis-15813	173	14	gir	gir	PROPN
fcis-15813	173	15	s	s	PART
fcis-15813	173	16	hick	hick	PROPN
fcis-15813	173	17	,	,	PUNCT
fcis-15813	173	18	r.	r.	PROPN
fcis-15813	173	19	,	,	PUNCT
fcis-15813	173	20	et	et	PROPN
fcis-15813	173	21	al	al	PROPN
fcis-15813	173	22	.	.	PUNCT
fcis-15813	173	23	(	(	PUNCT
fcis-15813	173	24	2016	2016	NUM
fcis-15813	173	25	)	)	PUNCT
fcis-15813	173	26	.	.	PUNCT
fcis-15813	174	1	you	you	PRON
fcis-15813	174	2	only	only	ADV
fcis-15813	174	3	look	look	VERB
fcis-15813	174	4	once	once	ADV
fcis-15813	174	5	:	:	PUNCT
fcis-15813	174	6	unified	unified	ADJ
fcis-15813	174	7	,	,	PUNCT
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fcis-15813	174	9	-	-	PUNCT
fcis-15813	174	10	time	time	NOUN
fcis-15813	174	11	object	object	NOUN
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fcis-15813	174	13	.	.	PUNCT
fcis-15813	175	1	in	in	ADP
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fcis-15813	175	6	vision	vision	NOUN
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fcis-15813	175	8	pattern	pattern	NOUN
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fcis-15813	175	10	(	(	PUNCT
fcis-15813	175	11	pp	pp	ADJ
fcis-15813	175	12	.	.	PUNCT
fcis-15813	176	1	779	779	NUM
fcis-15813	176	2	-	-	SYM
fcis-15813	176	3	788	788	NUM
fcis-15813	176	4	)	)	PUNCT
fcis-15813	177	1	[	[	X
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fcis-15813	177	3	]	]	X
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fcis-15813	177	5	,	,	PUNCT
fcis-15813	177	6	w.	w.	PROPN
fcis-15813	177	7	,	,	PUNCT
fcis-15813	177	8	anguelov	anguelov	PROPN
fcis-15813	177	9	,	,	PUNCT
fcis-15813	177	10	d.	d.	PROPN
fcis-15813	177	11	,	,	PUNCT
fcis-15813	177	12	erhan	erhan	PROPN
fcis-15813	177	13	,	,	PUNCT
fcis-15813	177	14	d.	d.	PROPN
fcis-15813	177	15	,	,	PUNCT
fcis-15813	177	16	et	et	PROPN
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fcis-15813	177	18	.	.	PUNCT
fcis-15813	178	1	(	(	PUNCT
fcis-15813	178	2	2016	2016	NUM
fcis-15813	178	3	)	)	PUNCT
fcis-15813	178	4	.	.	PUNCT
fcis-15813	179	1	ssd	ssd	PROPN
fcis-15813	179	2	:	:	PUNCT
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fcis-15813	179	8	.	.	PUNCT
fcis-15813	180	1	in	in	ADP
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fcis-15813	180	3	conference	conference	PROPN
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fcis-15813	180	5	computer	computer	NOUN
fcis-15813	180	6	vision	vision	NOUN
fcis-15813	180	7	(	(	PUNCT
fcis-15813	180	8	pp	pp	ADJ
fcis-15813	180	9	.	.	PUNCT
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fcis-15813	180	11	-	-	SYM
fcis-15813	180	12	37	37	NUM
fcis-15813	180	13	)	)	PUNCT
fcis-15813	180	14	.	.	PUNCT
fcis-15813	181	1	springer	springer	NOUN
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fcis-15813	181	4	.	.	PUNCT
fcis-15813	182	1	[	[	X
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fcis-15813	182	3	]	]	X
fcis-15813	182	4	redmon	redmon	PROPN
fcis-15813	182	5	,	,	PUNCT
fcis-15813	182	6	j.	j.	PROPN
fcis-15813	182	7	,	,	PUNCT
fcis-15813	182	8	&	&	CCONJ
fcis-15813	182	9	farhadi	farhadi	PROPN
fcis-15813	182	10	,	,	PUNCT
fcis-15813	182	11	a.	a.	NOUN
fcis-15813	182	12	(	(	PUNCT
fcis-15813	182	13	2017	2017	NUM
fcis-15813	182	14	)	)	PUNCT
fcis-15813	182	15	.	.	PUNCT
fcis-15813	183	1	yolo9000	yolo9000	PROPN
fcis-15813	183	2	:	:	PUNCT
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fcis-15813	183	8	.	.	PUNCT
fcis-15813	184	1	in	in	ADP
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fcis-15813	184	10	(	(	PUNCT
fcis-15813	184	11	pp	pp	ADJ
fcis-15813	184	12	.	.	PUNCT
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fcis-15813	184	14	-	-	SYM
fcis-15813	184	15	6525	6525	NUM
fcis-15813	184	16	)	)	PUNCT
fcis-15813	184	17	.	.	PUNCT
fcis-15813	185	1	[	[	X
fcis-15813	185	2	9	9	NUM
fcis-15813	185	3	]	]	X
fcis-15813	185	4	redmon	redmon	PROPN
fcis-15813	185	5	,	,	PUNCT
fcis-15813	185	6	j.	j.	PROPN
fcis-15813	185	7	,	,	PUNCT
fcis-15813	185	8	&	&	CCONJ
fcis-15813	185	9	farhadi	farhadi	PROPN
fcis-15813	185	10	,	,	PUNCT
fcis-15813	185	11	a.	a.	NOUN
fcis-15813	185	12	(	(	PUNCT
fcis-15813	185	13	2018	2018	NUM
fcis-15813	185	14	)	)	PUNCT
fcis-15813	185	15	.	.	PUNCT
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fcis-15813	186	2	:	:	PUNCT
fcis-15813	187	1	an	an	DET
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fcis-15813	187	4	.	.	PUNCT
fcis-15813	188	1	in	in	ADP
fcis-15813	188	2	ieee	ieee	PROPN
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fcis-15813	188	10	(	(	PUNCT
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fcis-15813	188	12	.	.	PUNCT
fcis-15813	189	1	1	1	NUM
fcis-15813	189	2	-	-	SYM
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fcis-15813	189	4	)	)	PUNCT
fcis-15813	189	5	.	.	PUNCT
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fcis-15813	190	10	x.	x.	PROPN
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fcis-15813	190	19	(	(	PUNCT
fcis-15813	190	20	2015	2015	NUM
fcis-15813	190	21	)	)	PUNCT
fcis-15813	190	22	.	.	PUNCT
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fcis-15813	191	11	.	.	PUNCT
fcis-15813	192	1	ieee	ieee	NOUN
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fcis-15813	192	9	,	,	PUNCT
fcis-15813	192	10	37(9	37(9	NUM
fcis-15813	192	11	)	)	PUNCT
fcis-15813	192	12	,	,	PUNCT
fcis-15813	192	13	1904	1904	NUM
fcis-15813	192	14	-	-	SYM
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fcis-15813	192	16	.	.	PUNCT
fcis-15813	193	1	[	[	X
fcis-15813	193	2	11	11	NUM
fcis-15813	193	3	]	]	X
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fcis-15813	193	7	,	,	PUNCT
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fcis-15813	193	9	,	,	PUNCT
fcis-15813	193	10	p.	p.	PROPN
fcis-15813	193	11	,	,	PUNCT
fcis-15813	193	12	gir	gir	PROPN
fcis-15813	193	13	s	s	PART
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fcis-15813	193	15	,	,	PUNCT
fcis-15813	193	16	r.	r.	PROPN
fcis-15813	193	17	,	,	PUNCT
fcis-15813	193	18	et	et	PROPN
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fcis-15813	193	20	.	.	PUNCT
fcis-15813	194	1	(	(	PUNCT
fcis-15813	194	2	2017	2017	NUM
fcis-15813	194	3	)	)	PUNCT
fcis-15813	194	4	.	.	PUNCT
fcis-15813	195	1	feature	feature	NOUN
fcis-15813	195	2	pyramid	pyramid	NOUN
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fcis-15813	195	5	object	object	NOUN
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fcis-15813	195	7	.	.	PUNCT
fcis-15813	196	1	in	in	ADP
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fcis-15813	196	10	(	(	PUNCT
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fcis-15813	196	12	.	.	PUNCT
fcis-15813	197	1	936	936	NUM
fcis-15813	197	2	-	-	SYM
fcis-15813	197	3	944	944	NUM
fcis-15813	197	4	)	)	PUNCT
fcis-15813	197	5	.	.	PUNCT
fcis-15813	198	1	[	[	X
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fcis-15813	198	3	]	]	X
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fcis-15813	198	6	s.	s.	PROPN
fcis-15813	198	7	,	,	PUNCT
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fcis-15813	198	9	,	,	PUNCT
fcis-15813	198	10	l.	l.	PROPN
fcis-15813	198	11	,	,	PUNCT
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fcis-15813	198	13	,	,	PUNCT
fcis-15813	198	14	h.	h.	PROPN
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fcis-15813	198	17	et	et	PROPN
fcis-15813	198	18	al	al	PROPN
fcis-15813	198	19	.	.	PUNCT
fcis-15813	198	20	(	(	PUNCT
fcis-15813	198	21	2018	2018	NUM
fcis-15813	198	22	)	)	PUNCT
fcis-15813	198	23	.	.	PUNCT
fcis-15813	199	1	path	path	NOUN
fcis-15813	199	2	aggregation	aggregation	NOUN
fcis-15813	199	3	network	network	NOUN
fcis-15813	199	4	for	for	ADP
fcis-15813	199	5	instance	instance	NOUN
fcis-15813	199	6	segmentation	segmentation	NOUN
fcis-15813	199	7	.	.	PUNCT
fcis-15813	200	1	in	in	ADP
fcis-15813	200	2	proceedings	proceeding	NOUN
fcis-15813	200	3	of	of	ADP
fcis-15813	200	4	the	the	DET
fcis-15813	200	5	2018	2018	NUM
fcis-15813	200	6	ieee	ieee	NOUN
fcis-15813	200	7	/	/	SYM
fcis-15813	200	8	cvf	cvf	NOUN
fcis-15813	200	9	conference	conference	NOUN
fcis-15813	200	10	on	on	ADP
fcis-15813	200	11	computer	computer	NOUN
fcis-15813	200	12	vision	vision	NOUN
fcis-15813	200	13	and	and	CCONJ
fcis-15813	200	14	pattern	pattern	NOUN
fcis-15813	200	15	recognition	recognition	NOUN
fcis-15813	200	16	(	(	PUNCT
fcis-15813	200	17	pp	pp	ADJ
fcis-15813	200	18	.	.	PUNCT
fcis-15813	201	1	8759	8759	NUM
fcis-15813	201	2	-	-	SYM
fcis-15813	201	3	8768	8768	NUM
fcis-15813	201	4	)	)	PUNCT
fcis-15813	201	5	.	.	PUNCT
fcis-15813	202	1	salt	salt	PROPN
fcis-15813	202	2	lake	lake	PROPN
fcis-15813	202	3	city	city	PROPN
fcis-15813	202	4	:	:	PUNCT
fcis-15813	202	5	ieee	ieee	NOUN
fcis-15813	202	6	.	.	PUNCT
fcis-15813	203	1	[	[	X
fcis-15813	203	2	13	13	NUM
fcis-15813	203	3	]	]	X
fcis-15813	203	4	howard	howard	PROPN
fcis-15813	203	5	,	,	PUNCT
fcis-15813	203	6	a.	a.	PROPN
fcis-15813	203	7	g.	g.	PROPN
fcis-15813	203	8	,	,	PUNCT
fcis-15813	203	9	zhu	zhu	PROPN
fcis-15813	203	10	,	,	PUNCT
fcis-15813	203	11	m.	m.	NOUN
fcis-15813	203	12	,	,	PUNCT
fcis-15813	203	13	chen	chen	PROPN
fcis-15813	203	14	,	,	PUNCT
fcis-15813	203	15	b.	b.	PROPN
fcis-15813	203	16	,	,	PUNCT
fcis-15813	203	17	et	et	PROPN
fcis-15813	203	18	al	al	PROPN
fcis-15813	203	19	.	.	PUNCT
fcis-15813	204	1	(	(	PUNCT
fcis-15813	204	2	2017	2017	NUM
fcis-15813	204	3	)	)	PUNCT
fcis-15813	204	4	.	.	PUNCT
fcis-15813	205	1	mobile	mobile	ADJ
fcis-15813	205	2	nets	net	NOUN
fcis-15813	205	3	:	:	PUNCT
fcis-15813	205	4	efficient	efficient	ADJ
fcis-15813	205	5	convolutional	convolutional	ADJ
fcis-15813	205	6	neural	neural	ADJ
fcis-15813	205	7	networks	network	NOUN
fcis-15813	205	8	for	for	ADP
fcis-15813	205	9	mobile	mobile	ADJ
fcis-15813	205	10	vision	vision	NOUN
fcis-15813	205	11	applications	application	NOUN
fcis-15813	205	12	.	.	PUNCT
fcis-15813	206	1	a	a	DET
fcis-15813	206	2	r	r	NOUN
fcis-15813	206	3	xi	xi	ADP
fcis-15813	206	4	v	v	NUM
fcis-15813	206	5	preprint	preprint	NOUN
fcis-15813	206	6	arxiv:1704.04861	arxiv:1704.04861	NOUN
fcis-15813	206	7	.	.	PUNCT
fcis-15813	207	1	80	80	NUM
fcis-15813	208	1	[	[	SYM
fcis-15813	208	2	14	14	NUM
fcis-15813	208	3	]	]	X
fcis-15813	208	4	sandler	sandler	NOUN
fcis-15813	208	5	,	,	PUNCT
fcis-15813	208	6	m.	m.	NOUN
fcis-15813	208	7	,	,	PUNCT
fcis-15813	208	8	howard	howard	PROPN
fcis-15813	208	9	,	,	PUNCT
fcis-15813	208	10	a.	a.	PROPN
fcis-15813	208	11	,	,	PUNCT
fcis-15813	208	12	zhu	zhu	PROPN
fcis-15813	208	13	,	,	PUNCT
fcis-15813	208	14	m.	m.	NOUN
fcis-15813	208	15	,	,	PUNCT
fcis-15813	208	16	et	et	PROPN
fcis-15813	208	17	al	al	PROPN
fcis-15813	208	18	.	.	PUNCT
fcis-15813	208	19	(	(	PUNCT
fcis-15813	208	20	2018	2018	NUM
fcis-15813	208	21	)	)	PUNCT
fcis-15813	208	22	.	.	PUNCT
fcis-15813	209	1	mobilenetv2	mobilenetv2	NOUN
fcis-15813	209	2	:	:	PUNCT
fcis-15813	209	3	inverted	inverted	ADJ
fcis-15813	209	4	residuals	residual	NOUN
fcis-15813	209	5	and	and	CCONJ
fcis-15813	209	6	linear	linear	ADJ
fcis-15813	209	7	bottlenecks	bottleneck	NOUN
fcis-15813	209	8	.	.	PUNCT
fcis-15813	210	1	in	in	ADP
fcis-15813	210	2	proceedings	proceeding	NOUN
fcis-15813	210	3	of	of	ADP
fcis-15813	210	4	the	the	DET
fcis-15813	210	5	ieee	ieee	NOUN
fcis-15813	210	6	conference	conference	NOUN
fcis-15813	210	7	on	on	ADP
fcis-15813	210	8	computer	computer	NOUN
fcis-15813	210	9	vision	vision	NOUN
fcis-15813	210	10	and	and	CCONJ
fcis-15813	210	11	pattern	pattern	NOUN
fcis-15813	210	12	recognition	recognition	NOUN
fcis-15813	210	13	(	(	PUNCT
fcis-15813	210	14	pp	pp	ADJ
fcis-15813	210	15	.	.	PUNCT
fcis-15813	210	16	4510	4510	NUM
fcis-15813	210	17	-	-	SYM
fcis-15813	210	18	4520	4520	NUM
fcis-15813	210	19	)	)	PUNCT
fcis-15813	210	20	.	.	PUNCT
fcis-15813	211	1	[	[	X
fcis-15813	211	2	15	15	NUM
fcis-15813	211	3	]	]	X
fcis-15813	211	4	howard	howard	PROPN
fcis-15813	211	5	,	,	PUNCT
fcis-15813	211	6	a.	a.	PROPN
fcis-15813	211	7	,	,	PUNCT
fcis-15813	211	8	sandler	sandler	NOUN
fcis-15813	211	9	,	,	PUNCT
fcis-15813	211	10	m.	m.	NOUN
fcis-15813	211	11	,	,	PUNCT
fcis-15813	211	12	chu	chu	PROPN
fcis-15813	211	13	,	,	PUNCT
fcis-15813	211	14	g.	g.	PROPN
fcis-15813	211	15	,	,	PUNCT
fcis-15813	211	16	et	et	PROPN
fcis-15813	211	17	al	al	PROPN
fcis-15813	211	18	.	.	PROPN
fcis-15813	211	19	(	(	PUNCT
fcis-15813	211	20	2019	2019	NUM
fcis-15813	211	21	)	)	PUNCT
fcis-15813	211	22	.	.	PUNCT
fcis-15813	212	1	searching	search	VERB
fcis-15813	212	2	for	for	ADP
fcis-15813	212	3	mobilenetv3	mobilenetv3	PROPN
fcis-15813	212	4	.	.	PUNCT
fcis-15813	213	1	in	in	ADP
fcis-15813	213	2	proceedings	proceeding	NOUN
fcis-15813	213	3	of	of	ADP
fcis-15813	213	4	the	the	DET
fcis-15813	213	5	ieee	ieee	NOUN
fcis-15813	213	6	/	/	SYM
fcis-15813	213	7	cvf	cvf	NOUN
fcis-15813	213	8	international	international	ADJ
fcis-15813	213	9	conference	conference	NOUN
fcis-15813	213	10	on	on	ADP
fcis-15813	213	11	computer	computer	NOUN
fcis-15813	213	12	vision	vision	NOUN
fcis-15813	213	13	(	(	PUNCT
fcis-15813	213	14	pp	pp	ADJ
fcis-15813	213	15	.	.	PUNCT
fcis-15813	213	16	1314	1314	NUM
fcis-15813	213	17	-	-	SYM
fcis-15813	213	18	1324	1324	NUM
fcis-15813	213	19	)	)	PUNCT
fcis-15813	213	20	.	.	PUNCT
fcis-15813	214	1	[	[	X
fcis-15813	214	2	16	16	NUM
fcis-15813	214	3	]	]	X
fcis-15813	214	4	zhang	zhang	PROPN
fcis-15813	214	5	,	,	PUNCT
fcis-15813	214	6	x.	x.	PROPN
fcis-15813	214	7	,	,	PUNCT
fcis-15813	214	8	zhou	zhou	PROPN
fcis-15813	214	9	,	,	PUNCT
fcis-15813	214	10	x.	x.	PROPN
fcis-15813	214	11	,	,	PUNCT
fcis-15813	214	12	lin	lin	PROPN
fcis-15813	214	13	,	,	PUNCT
fcis-15813	214	14	m.	m.	NOUN
fcis-15813	214	15	,	,	PUNCT
fcis-15813	214	16	et	et	PROPN
fcis-15813	214	17	al	al	PROPN
fcis-15813	214	18	.	.	PUNCT
fcis-15813	214	19	(	(	PUNCT
fcis-15813	214	20	2018	2018	NUM
fcis-15813	214	21	)	)	PUNCT
fcis-15813	214	22	.	.	PUNCT
fcis-15813	215	1	shu	shu	PROPN
fcis-15813	215	2	ff	ff	PROPN
fcis-15813	215	3	le	le	X
fcis-15813	215	4	net	net	NOUN
fcis-15813	215	5	:	:	PUNCT
fcis-15813	215	6	an	an	DET
fcis-15813	215	7	extremely	extremely	ADV
fcis-15813	215	8	efficient	efficient	ADJ
fcis-15813	215	9	convolutional	convolutional	ADJ
fcis-15813	215	10	neural	neural	ADJ
fcis-15813	215	11	network	network	NOUN
fcis-15813	215	12	for	for	ADP
fcis-15813	215	13	mobile	mobile	ADJ
fcis-15813	215	14	devices	device	NOUN
fcis-15813	215	15	.	.	PUNCT
fcis-15813	216	1	in	in	ADP
fcis-15813	216	2	proceedings	proceeding	NOUN
fcis-15813	216	3	of	of	ADP
fcis-15813	216	4	the	the	DET
fcis-15813	216	5	ieee	ieee	NOUN
fcis-15813	216	6	conference	conference	NOUN
fcis-15813	216	7	on	on	ADP
fcis-15813	216	8	computer	computer	NOUN
fcis-15813	216	9	vision	vision	NOUN
fcis-15813	216	10	and	and	CCONJ
fcis-15813	216	11	pattern	pattern	NOUN
fcis-15813	216	12	recognition	recognition	NOUN
fcis-15813	216	13	(	(	PUNCT
fcis-15813	216	14	pp	pp	ADJ
fcis-15813	216	15	.	.	PUNCT
fcis-15813	217	1	6848	6848	NUM
fcis-15813	217	2	-	-	SYM
fcis-15813	217	3	6856	6856	NUM
fcis-15813	217	4	)	)	PUNCT
fcis-15813	217	5	.	.	PUNCT
fcis-15813	218	1	[	[	X
fcis-15813	218	2	17	17	NUM
fcis-15813	218	3	]	]	X
fcis-15813	218	4	ma	ma	PROPN
fcis-15813	218	5	,	,	PUNCT
fcis-15813	218	6	n.	n.	PROPN
fcis-15813	218	7	,	,	PUNCT
fcis-15813	218	8	zhang	zhang	PROPN
fcis-15813	218	9	,	,	PUNCT
fcis-15813	218	10	x.	x.	PROPN
fcis-15813	218	11	,	,	PUNCT
fcis-15813	218	12	zheng	zheng	PROPN
fcis-15813	218	13	,	,	PUNCT
fcis-15813	218	14	h.	h.	PROPN
fcis-15813	218	15	t.	t.	PROPN
fcis-15813	218	16	,	,	PUNCT
fcis-15813	218	17	et	et	PROPN
fcis-15813	218	18	al	al	PROPN
fcis-15813	218	19	.	.	PUNCT
fcis-15813	219	1	(	(	PUNCT
fcis-15813	219	2	2018	2018	NUM
fcis-15813	219	3	)	)	PUNCT
fcis-15813	219	4	.	.	PUNCT
fcis-15813	220	1	shu	shu	PROPN
fcis-15813	220	2	ff	ff	X
fcis-15813	220	3	le	le	X
fcis-15813	220	4	net	net	PROPN
fcis-15813	220	5	v2	v2	PROPN
fcis-15813	220	6	:	:	PUNCT
fcis-15813	220	7	practical	practical	ADJ
fcis-15813	220	8	guidelines	guideline	NOUN
fcis-15813	220	9	for	for	ADP
fcis-15813	220	10	efficient	efficient	ADJ
fcis-15813	220	11	c	c	NOUN
fcis-15813	220	12	architecture	architecture	NOUN
fcis-15813	220	13	design	design	NOUN
fcis-15813	220	14	.	.	PUNCT
fcis-15813	221	1	in	in	ADP
fcis-15813	221	2	proceedings	proceeding	NOUN
fcis-15813	221	3	of	of	ADP
fcis-15813	221	4	the	the	DET
fcis-15813	221	5	european	european	PROPN
fcis-15813	221	6	conference	conference	PROPN
fcis-15813	221	7	on	on	ADP
fcis-15813	221	8	computer	computer	NOUN
fcis-15813	221	9	vision	vision	NOUN
fcis-15813	221	10	(	(	PUNCT
fcis-15813	221	11	eccv	eccv	ADV
fcis-15813	221	12	)	)	PUNCT
fcis-15813	221	13	(	(	PUNCT
fcis-15813	221	14	pp	pp	X
fcis-15813	221	15	.	.	PUNCT
fcis-15813	222	1	116	116	NUM
fcis-15813	222	2	-	-	SYM
fcis-15813	222	3	131	131	NUM
fcis-15813	222	4	)	)	PUNCT
fcis-15813	222	5	.	.	PUNCT
fcis-15813	223	1	[	[	X
fcis-15813	223	2	18	18	NUM
fcis-15813	223	3	]	]	SYM
fcis-15813	223	4	han	han	PROPN
fcis-15813	223	5	,	,	PUNCT
fcis-15813	223	6	k.	k.	PROPN
fcis-15813	223	7	,	,	PUNCT
fcis-15813	223	8	wang	wang	PROPN
fcis-15813	223	9	,	,	PUNCT
fcis-15813	223	10	y.	y.	PROPN
fcis-15813	223	11	,	,	PUNCT
fcis-15813	223	12	tian	tian	PROPN
fcis-15813	223	13	,	,	PUNCT
fcis-15813	223	14	q.	q.	PROPN
fcis-15813	223	15	,	,	PUNCT
fcis-15813	223	16	et	et	PROPN
fcis-15813	223	17	al	al	PROPN
fcis-15813	223	18	.	.	PROPN
fcis-15813	223	19	(	(	PUNCT
fcis-15813	223	20	2020	2020	NUM
fcis-15813	223	21	)	)	PUNCT
fcis-15813	223	22	.	.	PUNCT
fcis-15813	224	1	ghost	ghost	NOUN
fcis-15813	224	2	net	net	NOUN
fcis-15813	224	3	:	:	PUNCT
fcis-15813	224	4	more	more	ADJ
fcis-15813	224	5	features	feature	NOUN
fcis-15813	224	6	from	from	ADP
fcis-15813	224	7	cheap	cheap	ADJ
fcis-15813	224	8	operations	operation	NOUN
fcis-15813	224	9	.	.	PUNCT
fcis-15813	225	1	in	in	ADP
fcis-15813	225	2	proceedings	proceeding	NOUN
fcis-15813	225	3	of	of	ADP
fcis-15813	225	4	the	the	DET
fcis-15813	225	5	ieee	ieee	NOUN
fcis-15813	225	6	/	/	SYM
fcis-15813	225	7	cvf	cvf	NOUN
fcis-15813	225	8	conference	conference	NOUN
fcis-15813	225	9	on	on	ADP
fcis-15813	225	10	computer	computer	NOUN
fcis-15813	225	11	vision	vision	NOUN
fcis-15813	225	12	and	and	CCONJ
fcis-15813	225	13	pattern	pattern	NOUN
fcis-15813	225	14	recognition	recognition	NOUN
fcis-15813	225	15	(	(	PUNCT
fcis-15813	225	16	pp	pp	ADJ
fcis-15813	225	17	.	.	PUNCT
fcis-15813	226	1	1580	1580	NUM
fcis-15813	226	2	-	-	SYM
fcis-15813	226	3	1589	1589	NUM
fcis-15813	226	4	)	)	PUNCT
fcis-15813	226	5	.	.	PUNCT
fcis-15813	227	1	[	[	X
fcis-15813	227	2	19	19	NUM
fcis-15813	227	3	]	]	X
fcis-15813	227	4	liu	liu	PROPN
fcis-15813	227	5	,	,	PUNCT
fcis-15813	227	6	y.	y.	PROPN
fcis-15813	227	7	,	,	PUNCT
fcis-15813	227	8	shao	shao	PROPN
fcis-15813	227	9	,	,	PUNCT
fcis-15813	227	10	z.	z.	PROPN
fcis-15813	227	11	,	,	PUNCT
fcis-15813	227	12	hoffmann	hoffmann	PROPN
fcis-15813	227	13	,	,	PUNCT
fcis-15813	227	14	n.	n.	NOUN
fcis-15813	227	15	(	(	PUNCT
fcis-15813	227	16	2021	2021	NUM
fcis-15813	227	17	)	)	PUNCT
fcis-15813	227	18	.	.	PUNCT
fcis-15813	228	1	global	global	ADJ
fcis-15813	228	2	attention	attention	NOUN
fcis-15813	228	3	mechanism	mechanism	NOUN
fcis-15813	228	4	:	:	PUNCT
fcis-15813	228	5	retain	retain	VERB
fcis-15813	228	6	information	information	NOUN
fcis-15813	228	7	to	to	PART
fcis-15813	228	8	enhance	enhance	VERB
fcis-15813	228	9	channel	channel	NOUN
fcis-15813	228	10	-	-	PUNCT
fcis-15813	228	11	spatial	spatial	ADJ
fcis-15813	228	12	interactions	interaction	NOUN
fcis-15813	228	13	.	.	PUNCT
fcis-15813	229	1	a	a	DET
fcis-15813	229	2	r	r	NOUN
fcis-15813	229	3	xi	xi	ADP
fcis-15813	229	4	v	v	NUM
fcis-15813	229	5	preprint	preprint	NOUN
fcis-15813	229	6	arxiv:2112.05561	arxiv:2112.05561	NOUN
fcis-15813	229	7	.	.	PUNCT
fcis-15813	230	1	[	[	X
fcis-15813	230	2	20	20	NUM
fcis-15813	230	3	]	]	SYM
fcis-15813	230	4	hu	hu	PROPN
fcis-15813	230	5	,	,	PUNCT
fcis-15813	230	6	j.	j.	PROPN
fcis-15813	230	7	,	,	PUNCT
fcis-15813	230	8	shen	shen	PROPN
fcis-15813	230	9	,	,	PUNCT
fcis-15813	230	10	l.	l.	PROPN
fcis-15813	230	11	,	,	PUNCT
fcis-15813	230	12	&	&	CCONJ
fcis-15813	230	13	sun	sun	PROPN
fcis-15813	230	14	,	,	PUNCT
fcis-15813	230	15	g.	g.	PROPN
fcis-15813	230	16	(	(	PUNCT
fcis-15813	230	17	2018	2018	NUM
fcis-15813	230	18	)	)	PUNCT
fcis-15813	230	19	.	.	PUNCT
fcis-15813	231	1	squeeze	squeeze	NOUN
fcis-15813	231	2	-	-	PUNCT
fcis-15813	231	3	and	and	CCONJ
fcis-15813	231	4	-	-	PUNCT
fcis-15813	231	5	excitation	excitation	NOUN
fcis-15813	231	6	networks	network	NOUN
fcis-15813	231	7	.	.	PUNCT
fcis-15813	232	1	in	in	ADP
fcis-15813	232	2	proceedings	proceeding	NOUN
fcis-15813	232	3	of	of	ADP
fcis-15813	232	4	the	the	DET
fcis-15813	232	5	ieee	ieee	NOUN
fcis-15813	232	6	conference	conference	NOUN
fcis-15813	232	7	on	on	ADP
fcis-15813	232	8	computer	computer	NOUN
fcis-15813	232	9	vision	vision	NOUN
fcis-15813	232	10	and	and	CCONJ
fcis-15813	232	11	pattern	pattern	NOUN
fcis-15813	232	12	recognition	recognition	NOUN
fcis-15813	232	13	(	(	PUNCT
fcis-15813	232	14	pp	pp	ADJ
fcis-15813	232	15	.	.	PUNCT
fcis-15813	232	16	7132	7132	NUM
fcis-15813	232	17	-	-	SYM
fcis-15813	232	18	7141	7141	NUM
fcis-15813	232	19	)	)	PUNCT
fcis-15813	232	20	.	.	PUNCT
fcis-15813	233	1	[	[	X
fcis-15813	233	2	21	21	NUM
fcis-15813	233	3	]	]	X
fcis-15813	233	4	woo	woo	PROPN
fcis-15813	233	5	,	,	PUNCT
fcis-15813	233	6	s.	s.	PROPN
fcis-15813	233	7	,	,	PUNCT
fcis-15813	233	8	park	park	PROPN
fcis-15813	233	9	,	,	PUNCT
fcis-15813	233	10	j.	j.	PROPN
fcis-15813	233	11	,	,	PUNCT
fcis-15813	233	12	lee	lee	PROPN
fcis-15813	233	13	,	,	PUNCT
fcis-15813	233	14	j.	j.	PROPN
fcis-15813	233	15	y.	y.	PROPN
fcis-15813	233	16	,	,	PUNCT
fcis-15813	233	17	et	et	PROPN
fcis-15813	233	18	al	al	PROPN
fcis-15813	233	19	.	.	PUNCT
fcis-15813	233	20	(	(	PUNCT
fcis-15813	233	21	2018	2018	NUM
fcis-15813	233	22	)	)	PUNCT
fcis-15813	233	23	.	.	PUNCT
fcis-15813	234	1	cbam	cbam	NOUN
fcis-15813	234	2	:	:	PUNCT
fcis-15813	234	3	convolutional	convolutional	ADJ
fcis-15813	234	4	block	block	NOUN
fcis-15813	234	5	attention	attention	NOUN
fcis-15813	234	6	module	module	NOUN
fcis-15813	234	7	.	.	PUNCT
fcis-15813	235	1	in	in	ADP
fcis-15813	235	2	proceedings	proceeding	NOUN
fcis-15813	235	3	of	of	ADP
fcis-15813	235	4	the	the	DET
fcis-15813	235	5	european	european	PROPN
fcis-15813	235	6	conference	conference	PROPN
fcis-15813	235	7	on	on	ADP
fcis-15813	235	8	computer	computer	NOUN
fcis-15813	235	9	vision	vision	NOUN
fcis-15813	235	10	(	(	PUNCT
fcis-15813	235	11	eccv	eccv	ADV
fcis-15813	235	12	)	)	PUNCT
fcis-15813	235	13	(	(	PUNCT
fcis-15813	235	14	pp	pp	X
fcis-15813	235	15	.	.	PUNCT
fcis-15813	236	1	3	3	NUM
fcis-15813	236	2	-	-	SYM
fcis-15813	236	3	19	19	NUM
fcis-15813	236	4	)	)	PUNCT
fcis-15813	236	5	.	.	PUNCT
fcis-15813	237	1	[	[	X
fcis-15813	237	2	22	22	NUM
fcis-15813	237	3	]	]	X
fcis-15813	237	4	zheng	zheng	PROPN
fcis-15813	237	5	,	,	PUNCT
fcis-15813	237	6	z.	z.	PROPN
fcis-15813	237	7	,	,	PUNCT
fcis-15813	237	8	wang	wang	PROPN
fcis-15813	237	9	,	,	PUNCT
fcis-15813	237	10	p.	p.	PROPN
fcis-15813	237	11	,	,	PUNCT
fcis-15813	237	12	liu	liu	PROPN
fcis-15813	237	13	,	,	PUNCT
fcis-15813	237	14	w.	w.	PROPN
fcis-15813	237	15	,	,	PUNCT
fcis-15813	237	16	et	et	PROPN
fcis-15813	237	17	al	al	PROPN
fcis-15813	237	18	.	.	PROPN
fcis-15813	237	19	(	(	PUNCT
fcis-15813	237	20	2020	2020	NUM
fcis-15813	237	21	)	)	PUNCT
fcis-15813	237	22	.	.	PUNCT
fcis-15813	237	23	distance	distance	NOUN
fcis-15813	237	24	-	-	PUNCT
fcis-15813	237	25	io	io	NOUN
fcis-15813	237	26	u	u	PROPN
fcis-15813	237	27	loss	loss	NOUN
fcis-15813	237	28	:	:	PUNCT
fcis-15813	237	29	faster	fast	ADJ
fcis-15813	237	30	and	and	CCONJ
fcis-15813	237	31	better	well	ADV
fcis-15813	237	32	learning	learn	VERB
fcis-15813	237	33	for	for	ADP
fcis-15813	237	34	bounding	bound	VERB
fcis-15813	237	35	box	box	NOUN
fcis-15813	237	36	regression	regression	NOUN
fcis-15813	237	37	.	.	PUNCT
fcis-15813	238	1	in	in	ADP
fcis-15813	238	2	proceedings	proceeding	NOUN
fcis-15813	238	3	of	of	ADP
fcis-15813	238	4	the	the	DET
fcis-15813	238	5	aaai	aaai	PROPN
fcis-15813	238	6	conference	conference	NOUN
fcis-15813	238	7	on	on	ADP
fcis-15813	238	8	artificial	artificial	ADJ
fcis-15813	238	9	intelligence	intelligence	NOUN
fcis-15813	238	10	(	(	PUNCT
fcis-15813	238	11	vol	vol	NOUN
fcis-15813	238	12	.	.	PROPN
fcis-15813	238	13	34	34	NUM
fcis-15813	238	14	,	,	PUNCT
fcis-15813	238	15	no	no	INTJ
fcis-15813	238	16	.	.	NOUN
fcis-15813	238	17	07	07	NUM
fcis-15813	238	18	,	,	PUNCT
fcis-15813	238	19	pp	pp	ADJ
fcis-15813	238	20	.	.	PUNCT
fcis-15813	238	21	12993	12993	NUM
fcis-15813	238	22	-	-	SYM
fcis-15813	238	23	13000	13000	NUM
fcis-15813	238	24	)	)	PUNCT
fcis-15813	238	25	.	.	PUNCT
fcis-15813	239	1	[	[	X
fcis-15813	239	2	23	23	NUM
fcis-15813	239	3	]	]	X
fcis-15813	239	4	gevorgyan	gevorgyan	PROPN
fcis-15813	239	5	,	,	PUNCT
fcis-15813	239	6	z.	z.	PROPN
fcis-15813	239	7	(	(	PUNCT
fcis-15813	239	8	2022	2022	NUM
fcis-15813	239	9	)	)	PUNCT
fcis-15813	239	10	.	.	PUNCT
fcis-15813	240	1	sio	sio	PROPN
fcis-15813	240	2	u	u	PROPN
fcis-15813	240	3	loss	loss	NOUN
fcis-15813	240	4	:	:	PUNCT
fcis-15813	240	5	more	more	ADV
fcis-15813	240	6	powerful	powerful	ADJ
fcis-15813	240	7	learning	learn	VERB
fcis-15813	240	8	for	for	ADP
fcis-15813	240	9	bounding	bound	VERB
fcis-15813	240	10	box	box	NOUN
fcis-15813	240	11	regression	regression	NOUN
fcis-15813	240	12	.	.	PUNCT
fcis-15813	241	1	a	a	DET
fcis-15813	241	2	r	r	NOUN
fcis-15813	241	3	x	x	SYM
fcis-15813	241	4	iv	iv	NUM
fcis-15813	241	5	preprint	preprint	NOUN
fcis-15813	241	6	arxiv:2205.12740	arxiv:2205.12740	NOUN
fcis-15813	241	7	.	.	PUNCT