id	sid	tid	token	lemma	pos
fcis-31256	1	1	frontiers	frontier	NOUN
fcis-31256	1	2	in	in	ADP
fcis-31256	1	3	computing	computing	NOUN
fcis-31256	1	4	and	and	CCONJ
fcis-31256	1	5	intelligent	intelligent	ADJ
fcis-31256	1	6	systems	system	NOUN
fcis-31256	1	7	issn	issn	VERB
fcis-31256	1	8	:	:	PUNCT
fcis-31256	1	9	2832	2832	NUM
fcis-31256	1	10	-	-	SYM
fcis-31256	1	11	6024	6024	NUM
fcis-31256	1	12	|	|	NOUN
fcis-31256	1	13	vol	vol	NOUN
fcis-31256	1	14	.	.	PROPN
fcis-31256	2	1	12	12	NUM
fcis-31256	2	2	,	,	PUNCT
fcis-31256	2	3	no	no	INTJ
fcis-31256	2	4	.	.	NOUN
fcis-31256	2	5	3	3	NUM
fcis-31256	2	6	,	,	PUNCT
fcis-31256	2	7	2025	2025	NUM
fcis-31256	2	8	88	88	NUM
fcis-31256	2	9	lightweight	lightweight	ADJ
fcis-31256	2	10	recognition	recognition	NOUN
fcis-31256	2	11	method	method	NOUN
fcis-31256	2	12	for	for	ADP
fcis-31256	2	13	korla	korla	PROPN
fcis-31256	2	14	pear	pear	NOUN
fcis-31256	2	15	based	base	VERB
fcis-31256	2	16	on	on	ADP
fcis-31256	2	17	nanodet‐plus	nanodet‐plus	X
fcis-31256	2	18	dechuan	dechuan	PROPN
fcis-31256	2	19	qiu	qiu	PROPN
fcis-31256	2	20	,	,	PUNCT
fcis-31256	2	21	yongfu	yongfu	PROPN
fcis-31256	2	22	shan	shan	PROPN
fcis-31256	2	23	*	*	PROPN
fcis-31256	2	24	,	,	PUNCT
fcis-31256	2	25	yingchao	yingchao	PROPN
fcis-31256	2	26	wang	wang	PROPN
fcis-31256	2	27	,	,	PUNCT
fcis-31256	2	28	lihao	lihao	PROPN
fcis-31256	2	29	qin	qin	PROPN
fcis-31256	2	30	and	and	CCONJ
fcis-31256	2	31	na	na	ADP
fcis-31256	2	32	li	li	PROPN
fcis-31256	2	33	school	school	PROPN
fcis-31256	2	34	of	of	ADP
fcis-31256	2	35	information	information	NOUN
fcis-31256	2	36	and	and	CCONJ
fcis-31256	2	37	engineering	engineering	NOUN
fcis-31256	2	38	,	,	PUNCT
fcis-31256	2	39	xinjiang	xinjiang	PROPN
fcis-31256	2	40	college	college	PROPN
fcis-31256	2	41	of	of	ADP
fcis-31256	2	42	science	science	PROPN
fcis-31256	2	43	&	&	CCONJ
fcis-31256	2	44	technology	technology	PROPN
fcis-31256	2	45	,	,	PUNCT
fcis-31256	2	46	korla	korla	PROPN
fcis-31256	2	47	xinjiang	xinjiang	PROPN
fcis-31256	2	48	841000	841000	NUM
fcis-31256	2	49	,	,	PUNCT
fcis-31256	2	50	china	china	PROPN
fcis-31256	2	51	*	*	PUNCT
fcis-31256	2	52	corresponding	correspond	VERB
fcis-31256	2	53	author	author	NOUN
fcis-31256	2	54	:	:	PUNCT
fcis-31256	2	55	yongfu	yongfu	PROPN
fcis-31256	2	56	shan	shan	PROPN
fcis-31256	2	57	abstract	abstract	PROPN
fcis-31256	2	58	:	:	PUNCT
fcis-31256	2	59	this	this	DET
fcis-31256	2	60	study	study	NOUN
fcis-31256	2	61	aims	aim	VERB
fcis-31256	2	62	to	to	PART
fcis-31256	2	63	tackle	tackle	VERB
fcis-31256	2	64	the	the	DET
fcis-31256	2	65	challenge	challenge	NOUN
fcis-31256	2	66	of	of	ADP
fcis-31256	2	67	identifying	identify	VERB
fcis-31256	2	68	korla	korla	NOUN
fcis-31256	2	69	pears	pear	NOUN
fcis-31256	2	70	in	in	ADP
fcis-31256	2	71	real	real	ADJ
fcis-31256	2	72	orchard	orchard	ADJ
fcis-31256	2	73	environments	environment	NOUN
fcis-31256	2	74	by	by	ADP
fcis-31256	2	75	developing	develop	VERB
fcis-31256	2	76	a	a	DET
fcis-31256	2	77	highly	highly	ADV
fcis-31256	2	78	accurate	accurate	ADJ
fcis-31256	2	79	and	and	CCONJ
fcis-31256	2	80	lightweight	lightweight	ADJ
fcis-31256	2	81	target	target	NOUN
fcis-31256	2	82	detection	detection	NOUN
fcis-31256	2	83	model	model	NOUN
fcis-31256	2	84	.	.	PUNCT
fcis-31256	3	1	this	this	DET
fcis-31256	3	2	model	model	NOUN
fcis-31256	3	3	is	be	AUX
fcis-31256	3	4	designed	design	VERB
fcis-31256	3	5	to	to	PART
fcis-31256	3	6	assist	assist	VERB
fcis-31256	3	7	with	with	ADP
fcis-31256	3	8	automated	automate	VERB
fcis-31256	3	9	harvesting	harvesting	NOUN
fcis-31256	3	10	and	and	CCONJ
fcis-31256	3	11	yield	yield	NOUN
fcis-31256	3	12	estimation	estimation	NOUN
fcis-31256	3	13	.	.	PUNCT
fcis-31256	4	1	we	we	PRON
fcis-31256	4	2	improved	improve	VERB
fcis-31256	4	3	the	the	DET
fcis-31256	4	4	feature	feature	NOUN
fcis-31256	4	5	extraction	extraction	NOUN
fcis-31256	4	6	capabilities	capability	NOUN
fcis-31256	4	7	of	of	ADP
fcis-31256	4	8	the	the	DET
fcis-31256	4	9	nanodet	nanodet	NOUN
fcis-31256	4	10	-	-	PUNCT
fcis-31256	4	11	plus	plus	CCONJ
fcis-31256	4	12	framework	framework	NOUN
fcis-31256	4	13	by	by	ADP
fcis-31256	4	14	incorporating	incorporate	VERB
fcis-31256	4	15	mobilenetv3	mobilenetv3	NOUN
fcis-31256	4	16	as	as	ADP
fcis-31256	4	17	the	the	DET
fcis-31256	4	18	backbone	backbone	NOUN
fcis-31256	4	19	network	network	NOUN
fcis-31256	4	20	.	.	PUNCT
fcis-31256	5	1	additionally	additionally	ADV
fcis-31256	5	2	,	,	PUNCT
fcis-31256	5	3	we	we	PRON
fcis-31256	5	4	used	use	VERB
fcis-31256	5	5	the	the	DET
fcis-31256	5	6	dbscan	dbscan	NOUN
fcis-31256	5	7	clustering	cluster	VERB
fcis-31256	5	8	algorithm	algorithm	NOUN
fcis-31256	5	9	to	to	ADP
fcis-31256	5	10	segment	segment	NOUN
fcis-31256	5	11	and	and	CCONJ
fcis-31256	5	12	compile	compile	VERB
fcis-31256	5	13	a	a	DET
fcis-31256	5	14	high	high	ADJ
fcis-31256	5	15	-	-	PUNCT
fcis-31256	5	16	quality	quality	NOUN
fcis-31256	5	17	dataset	dataset	NOUN
fcis-31256	5	18	of	of	ADP
fcis-31256	5	19	pears	pear	NOUN
fcis-31256	5	20	.	.	PUNCT
fcis-31256	6	1	the	the	DET
fcis-31256	6	2	improved	improved	ADJ
fcis-31256	6	3	model	model	NOUN
fcis-31256	6	4	achieved	achieve	VERB
fcis-31256	6	5	map@0.5	map@0.5	PROPN
fcis-31256	6	6	and	and	CCONJ
fcis-31256	6	7	map@.5:.95	map@.5:.95	NOUN
fcis-31256	6	8	scores	score	NOUN
fcis-31256	6	9	of	of	ADP
fcis-31256	6	10	97.9	97.9	NUM
fcis-31256	6	11	%	%	NOUN
fcis-31256	6	12	and	and	CCONJ
fcis-31256	6	13	85.1	85.1	NUM
fcis-31256	6	14	%	%	NOUN
fcis-31256	6	15	on	on	ADP
fcis-31256	6	16	the	the	DET
fcis-31256	6	17	test	test	NOUN
fcis-31256	6	18	datasets	dataset	NOUN
fcis-31256	6	19	,	,	PUNCT
fcis-31256	6	20	representing	represent	VERB
fcis-31256	6	21	improvements	improvement	NOUN
fcis-31256	6	22	of	of	ADP
fcis-31256	6	23	0.3	0.3	NUM
fcis-31256	6	24	%	%	NOUN
fcis-31256	6	25	and	and	CCONJ
fcis-31256	6	26	0.5	0.5	NUM
fcis-31256	6	27	%	%	NOUN
fcis-31256	6	28	over	over	ADP
fcis-31256	6	29	the	the	DET
fcis-31256	6	30	original	original	ADJ
fcis-31256	6	31	model	model	NOUN
fcis-31256	6	32	.	.	PUNCT
fcis-31256	7	1	after	after	ADP
fcis-31256	7	2	post	post	ADJ
fcis-31256	7	3	-	-	ADJ
fcis-31256	7	4	quantization	quantization	NOUN
fcis-31256	7	5	compression	compression	NOUN
fcis-31256	7	6	,	,	PUNCT
fcis-31256	7	7	the	the	DET
fcis-31256	7	8	model	model	NOUN
fcis-31256	7	9	's	's	PART
fcis-31256	7	10	size	size	NOUN
fcis-31256	7	11	was	be	AUX
fcis-31256	7	12	reduced	reduce	VERB
fcis-31256	7	13	by	by	ADP
fcis-31256	7	14	94.2	94.2	NUM
fcis-31256	7	15	%	%	NOUN
fcis-31256	7	16	,	,	PUNCT
fcis-31256	7	17	allowing	allow	VERB
fcis-31256	7	18	it	it	PRON
fcis-31256	7	19	to	to	PART
fcis-31256	7	20	perform	perform	VERB
fcis-31256	7	21	stable	stable	ADJ
fcis-31256	7	22	detection	detection	NOUN
fcis-31256	7	23	on	on	ADP
fcis-31256	7	24	devices	device	NOUN
fcis-31256	7	25	with	with	ADP
fcis-31256	7	26	limited	limited	ADJ
fcis-31256	7	27	computing	computing	NOUN
fcis-31256	7	28	power	power	NOUN
fcis-31256	7	29	.	.	PUNCT
fcis-31256	8	1	this	this	DET
fcis-31256	8	2	network	network	NOUN
fcis-31256	8	3	balances	balance	VERB
fcis-31256	8	4	high	high	ADJ
fcis-31256	8	5	accuracy	accuracy	NOUN
fcis-31256	8	6	with	with	ADP
fcis-31256	8	7	low	low	ADJ
fcis-31256	8	8	resource	resource	NOUN
fcis-31256	8	9	consumption	consumption	NOUN
fcis-31256	8	10	,	,	PUNCT
fcis-31256	8	11	making	make	VERB
fcis-31256	8	12	it	it	PRON
fcis-31256	8	13	suitable	suitable	ADJ
fcis-31256	8	14	for	for	ADP
fcis-31256	8	15	recognizing	recognize	VERB
fcis-31256	8	16	pears	pear	NOUN
fcis-31256	8	17	in	in	ADP
fcis-31256	8	18	complex	complex	ADJ
fcis-31256	8	19	orchard	orchard	ADJ
fcis-31256	8	20	environments	environment	NOUN
fcis-31256	8	21	and	and	CCONJ
fcis-31256	8	22	providing	provide	VERB
fcis-31256	8	23	a	a	DET
fcis-31256	8	24	practical	practical	ADJ
fcis-31256	8	25	lightweight	lightweight	ADJ
fcis-31256	8	26	solution	solution	NOUN
fcis-31256	8	27	for	for	ADP
fcis-31256	8	28	smart	smart	ADJ
fcis-31256	8	29	agriculture	agriculture	NOUN
fcis-31256	8	30	applications	application	NOUN
fcis-31256	8	31	.	.	PUNCT
fcis-31256	9	1	keywords	keyword	NOUN
fcis-31256	9	2	:	:	PUNCT
fcis-31256	9	3	object	object	VERB
fcis-31256	9	4	detection	detection	NOUN
fcis-31256	9	5	;	;	PUNCT
fcis-31256	9	6	korla	korla	PROPN
fcis-31256	9	7	pear	pear	PROPN
fcis-31256	9	8	;	;	PUNCT
fcis-31256	9	9	nanodet	nanodet	NOUN
fcis-31256	9	10	-	-	PUNCT
fcis-31256	9	11	plus	plus	NOUN
fcis-31256	9	12	.	.	PUNCT
fcis-31256	10	1	1	1	X
fcis-31256	10	2	.	.	X
fcis-31256	10	3	introduction	introduction	NOUN
fcis-31256	10	4	the	the	DET
fcis-31256	10	5	korla	korla	PROPN
fcis-31256	10	6	pear	pear	PROPN
fcis-31256	10	7	,	,	PUNCT
fcis-31256	10	8	a	a	DET
fcis-31256	10	9	flagship	flagship	NOUN
fcis-31256	10	10	specialty	specialty	NOUN
fcis-31256	10	11	fruit	fruit	NOUN
fcis-31256	10	12	of	of	ADP
fcis-31256	10	13	southern	southern	ADJ
fcis-31256	10	14	xinjiang	xinjiang	PROPN
fcis-31256	10	15	,	,	PUNCT
fcis-31256	10	16	is	be	AUX
fcis-31256	10	17	not	not	PART
fcis-31256	10	18	only	only	ADV
fcis-31256	10	19	protected	protect	VERB
fcis-31256	10	20	under	under	ADP
fcis-31256	10	21	china	china	PROPN
fcis-31256	10	22	’s	’s	PART
fcis-31256	10	23	geographical	geographical	ADJ
fcis-31256	10	24	indication	indication	NOUN
fcis-31256	10	25	system	system	NOUN
fcis-31256	10	26	but	but	CCONJ
fcis-31256	10	27	also	also	ADV
fcis-31256	10	28	a	a	DET
fcis-31256	10	29	pillar	pillar	NOUN
fcis-31256	10	30	of	of	ADP
fcis-31256	10	31	the	the	DET
fcis-31256	10	32	local	local	ADJ
fcis-31256	10	33	agricultural	agricultural	ADJ
fcis-31256	10	34	economy	economy	NOUN
fcis-31256	10	35	.	.	PUNCT
fcis-31256	11	1	korla	korla	PROPN
fcis-31256	11	2	,	,	PUNCT
fcis-31256	11	3	the	the	DET
fcis-31256	11	4	heartland	heartland	NOUN
fcis-31256	11	5	of	of	ADP
fcis-31256	11	6	pear	pear	NOUN
fcis-31256	11	7	cultivation	cultivation	NOUN
fcis-31256	11	8	with	with	ADP
fcis-31256	11	9	a	a	DET
fcis-31256	11	10	40	40	NUM
fcis-31256	11	11	%	%	NOUN
fcis-31256	11	12	share	share	NOUN
fcis-31256	11	13	of	of	ADP
fcis-31256	11	14	the	the	DET
fcis-31256	11	15	region	region	NOUN
fcis-31256	11	16	’s	’s	PART
fcis-31256	11	17	total	total	ADJ
fcis-31256	11	18	planting	planting	NOUN
fcis-31256	11	19	area	area	NOUN
fcis-31256	11	20	,	,	PUNCT
fcis-31256	11	21	has	have	AUX
fcis-31256	11	22	positioned	position	VERB
fcis-31256	11	23	the	the	DET
fcis-31256	11	24	pear	pear	NOUN
fcis-31256	11	25	industry	industry	NOUN
fcis-31256	11	26	as	as	ADP
fcis-31256	11	27	a	a	DET
fcis-31256	11	28	key	key	ADJ
fcis-31256	11	29	driver	driver	NOUN
fcis-31256	11	30	for	for	ADP
fcis-31256	11	31	boosting	boost	VERB
fcis-31256	11	32	agricultural	agricultural	ADJ
fcis-31256	11	33	productivity	productivity	NOUN
fcis-31256	11	34	,	,	PUNCT
fcis-31256	11	35	increasing	increase	VERB
fcis-31256	11	36	farmers	farmer	NOUN
fcis-31256	11	37	'	'	PART
fcis-31256	11	38	incomes	income	NOUN
fcis-31256	11	39	,	,	PUNCT
fcis-31256	11	40	and	and	CCONJ
fcis-31256	11	41	strengthening	strengthen	VERB
fcis-31256	11	42	urban	urban	ADJ
fcis-31256	11	43	branding	branding	NOUN
fcis-31256	11	44	.	.	PUNCT
fcis-31256	12	1	as	as	SCONJ
fcis-31256	12	2	agricultural	agricultural	ADJ
fcis-31256	12	3	mechanization	mechanization	NOUN
fcis-31256	12	4	advances	advance	NOUN
fcis-31256	12	5	,	,	PUNCT
fcis-31256	12	6	automated	automate	VERB
fcis-31256	12	7	fruit	fruit	NOUN
fcis-31256	12	8	-	-	PUNCT
fcis-31256	12	9	picking	pick	VERB
fcis-31256	12	10	technology	technology	NOUN
fcis-31256	12	11	has	have	AUX
fcis-31256	12	12	become	become	VERB
fcis-31256	12	13	a	a	DET
fcis-31256	12	14	critical	critical	ADJ
fcis-31256	12	15	step	step	NOUN
fcis-31256	12	16	in	in	ADP
fcis-31256	12	17	smart	smart	ADJ
fcis-31256	12	18	agriculture[1	agriculture[1	NOUN
fcis-31256	12	19	]	]	PUNCT
fcis-31256	12	20	.	.	PUNCT
fcis-31256	13	1	the	the	DET
fcis-31256	13	2	accuracy	accuracy	NOUN
fcis-31256	13	3	and	and	CCONJ
fcis-31256	13	4	efficiency	efficiency	NOUN
fcis-31256	13	5	of	of	ADP
fcis-31256	13	6	target	target	NOUN
fcis-31256	13	7	recognition	recognition	NOUN
fcis-31256	13	8	,	,	PUNCT
fcis-31256	13	9	which	which	PRON
fcis-31256	13	10	is	be	AUX
fcis-31256	13	11	the	the	DET
fcis-31256	13	12	first	first	ADJ
fcis-31256	13	13	step	step	NOUN
fcis-31256	13	14	in	in	ADP
fcis-31256	13	15	automation	automation	NOUN
fcis-31256	13	16	,	,	PUNCT
fcis-31256	13	17	are	be	AUX
fcis-31256	13	18	essential	essential	ADJ
fcis-31256	13	19	for	for	SCONJ
fcis-31256	13	20	these	these	DET
fcis-31256	13	21	systems	system	NOUN
fcis-31256	13	22	to	to	PART
fcis-31256	13	23	work	work	VERB
fcis-31256	13	24	well	well	ADV
fcis-31256	13	25	.	.	PUNCT
fcis-31256	14	1	however	however	ADV
fcis-31256	14	2	,	,	PUNCT
fcis-31256	14	3	in	in	ADP
fcis-31256	14	4	real	real	ADJ
fcis-31256	14	5	orchard	orchard	NOUN
fcis-31256	14	6	settings	setting	NOUN
fcis-31256	14	7	,	,	PUNCT
fcis-31256	14	8	identifying	identify	VERB
fcis-31256	14	9	pears	pear	NOUN
fcis-31256	14	10	is	be	AUX
fcis-31256	14	11	quite	quite	ADV
fcis-31256	14	12	challenging	challenging	ADJ
fcis-31256	14	13	:	:	PUNCT
fcis-31256	14	14	they	they	PRON
fcis-31256	14	15	are	be	AUX
fcis-31256	14	16	spread	spread	VERB
fcis-31256	14	17	throughout	throughout	ADP
fcis-31256	14	18	the	the	DET
fcis-31256	14	19	tree	tree	NOUN
fcis-31256	14	20	canopy	canopy	NOUN
fcis-31256	14	21	,	,	PUNCT
fcis-31256	14	22	often	often	ADV
fcis-31256	14	23	hidden	hide	VERB
fcis-31256	14	24	by	by	ADP
fcis-31256	14	25	dense	dense	ADJ
fcis-31256	14	26	foliage	foliage	NOUN
fcis-31256	14	27	and	and	CCONJ
fcis-31256	14	28	branches	branch	NOUN
fcis-31256	14	29	;	;	PUNCT
fcis-31256	14	30	their	their	PRON
fcis-31256	14	31	green	green	ADJ
fcis-31256	14	32	skin	skin	NOUN
fcis-31256	14	33	blends	blend	NOUN
fcis-31256	14	34	almost	almost	ADV
fcis-31256	14	35	perfectly	perfectly	ADV
fcis-31256	14	36	with	with	ADP
fcis-31256	14	37	the	the	DET
fcis-31256	14	38	background	background	NOUN
fcis-31256	14	39	leaves	leave	NOUN
fcis-31256	14	40	,	,	PUNCT
fcis-31256	14	41	and	and	CCONJ
fcis-31256	14	42	local	local	ADJ
fcis-31256	14	43	weather	weather	NOUN
fcis-31256	14	44	conditions	condition	NOUN
fcis-31256	14	45	,	,	PUNCT
fcis-31256	14	46	such	such	ADJ
fcis-31256	14	47	as	as	ADP
fcis-31256	14	48	frequent	frequent	ADJ
fcis-31256	14	49	sandstorms	sandstorm	NOUN
fcis-31256	14	50	,	,	PUNCT
fcis-31256	14	51	have	have	AUX
fcis-31256	14	52	complicated	complicate	VERB
fcis-31256	14	53	the	the	DET
fcis-31256	14	54	recognition	recognition	NOUN
fcis-31256	14	55	process	process	NOUN
fcis-31256	14	56	.	.	PUNCT
fcis-31256	15	1	2	2	X
fcis-31256	15	2	.	.	X
fcis-31256	15	3	research	research	NOUN
fcis-31256	15	4	status	status	NOUN
fcis-31256	15	5	at	at	ADP
fcis-31256	15	6	home	home	ADV
fcis-31256	15	7	and	and	CCONJ
fcis-31256	15	8	abroad	abroad	ADV
fcis-31256	15	9	the	the	DET
fcis-31256	15	10	main	main	ADJ
fcis-31256	15	11	goal	goal	NOUN
fcis-31256	15	12	of	of	ADP
fcis-31256	15	13	research	research	NOUN
fcis-31256	15	14	on	on	ADP
fcis-31256	15	15	korla	korla	PROPN
fcis-31256	15	16	pear	pear	NOUN
fcis-31256	15	17	recognition	recognition	NOUN
fcis-31256	15	18	is	be	AUX
fcis-31256	15	19	to	to	PART
fcis-31256	15	20	accurately	accurately	ADV
fcis-31256	15	21	count	count	VERB
fcis-31256	15	22	yield	yield	NOUN
fcis-31256	15	23	per	per	ADP
fcis-31256	15	24	mu	mu	NOUN
fcis-31256	15	25	,	,	PUNCT
fcis-31256	15	26	addressing	address	VERB
fcis-31256	15	27	the	the	DET
fcis-31256	15	28	inefficiency	inefficiency	NOUN
fcis-31256	15	29	and	and	CCONJ
fcis-31256	15	30	errors	error	NOUN
fcis-31256	15	31	of	of	ADP
fcis-31256	15	32	current	current	ADJ
fcis-31256	15	33	manual	manual	ADJ
fcis-31256	15	34	methods	method	NOUN
fcis-31256	15	35	.	.	PUNCT
fcis-31256	16	1	traditional	traditional	ADJ
fcis-31256	16	2	image	image	NOUN
fcis-31256	16	3	processing	processing	NOUN
fcis-31256	16	4	and	and	CCONJ
fcis-31256	16	5	machine	machine	NOUN
fcis-31256	16	6	learning	learn	VERB
fcis-31256	16	7	techniques	technique	NOUN
fcis-31256	16	8	often	often	ADV
fcis-31256	16	9	struggle	struggle	VERB
fcis-31256	16	10	with	with	ADP
fcis-31256	16	11	limited	limited	ADJ
fcis-31256	16	12	feature	feature	NOUN
fcis-31256	16	13	representation	representation	NOUN
fcis-31256	16	14	and	and	CCONJ
fcis-31256	16	15	robustness	robustness	NOUN
fcis-31256	16	16	,	,	PUNCT
fcis-31256	16	17	making	make	VERB
fcis-31256	16	18	them	they	PRON
fcis-31256	16	19	unsuitable	unsuitable	ADJ
fcis-31256	16	20	for	for	ADP
fcis-31256	16	21	real	real	ADJ
fcis-31256	16	22	-	-	PUNCT
fcis-31256	16	23	world	world	NOUN
fcis-31256	16	24	use	use	NOUN
fcis-31256	16	25	.	.	PUNCT
fcis-31256	17	1	deep	deep	ADJ
fcis-31256	17	2	learning	learning	NOUN
fcis-31256	17	3	,	,	PUNCT
fcis-31256	17	4	especially	especially	ADV
fcis-31256	17	5	object	object	VERB
fcis-31256	17	6	detection	detection	NOUN
fcis-31256	17	7	technology	technology	NOUN
fcis-31256	17	8	,	,	PUNCT
fcis-31256	17	9	presents	present	VERB
fcis-31256	17	10	a	a	DET
fcis-31256	17	11	more	more	ADV
fcis-31256	17	12	promising	promising	ADJ
fcis-31256	17	13	approach	approach	NOUN
fcis-31256	17	14	.	.	PUNCT
fcis-31256	18	1	this	this	PRON
fcis-31256	18	2	can	can	AUX
fcis-31256	18	3	be	be	AUX
fcis-31256	18	4	divided	divide	VERB
fcis-31256	18	5	into	into	ADP
fcis-31256	18	6	two	two	NUM
fcis-31256	18	7	types	type	NOUN
fcis-31256	18	8	of	of	ADP
fcis-31256	18	9	algorithms	algorithm	NOUN
fcis-31256	18	10	:	:	PUNCT
fcis-31256	18	11	two	two	NUM
fcis-31256	18	12	-	-	PUNCT
fcis-31256	18	13	stage	stage	NOUN
fcis-31256	18	14	models	model	NOUN
fcis-31256	18	15	like	like	ADP
fcis-31256	18	16	faster	fast	ADJ
fcis-31256	18	17	r	r	NOUN
fcis-31256	18	18	-	-	PUNCT
fcis-31256	18	19	cnn[2	cnn[2	NOUN
fcis-31256	18	20	]	]	PUNCT
fcis-31256	18	21	,	,	PUNCT
fcis-31256	18	22	which	which	PRON
fcis-31256	18	23	are	be	AUX
fcis-31256	18	24	good	good	ADJ
fcis-31256	18	25	at	at	ADP
fcis-31256	18	26	detecting	detect	VERB
fcis-31256	18	27	small	small	ADJ
fcis-31256	18	28	targets	target	NOUN
fcis-31256	18	29	and	and	CCONJ
fcis-31256	18	30	handling	handle	VERB
fcis-31256	18	31	complex	complex	ADJ
fcis-31256	18	32	scenes	scene	NOUN
fcis-31256	18	33	but	but	CCONJ
fcis-31256	18	34	are	be	AUX
fcis-31256	18	35	computationally	computationally	ADV
fcis-31256	18	36	intensive	intensive	ADJ
fcis-31256	18	37	and	and	CCONJ
fcis-31256	18	38	slow	slow	ADJ
fcis-31256	18	39	,	,	PUNCT
fcis-31256	18	40	making	make	VERB
fcis-31256	18	41	them	they	PRON
fcis-31256	18	42	less	less	ADV
fcis-31256	18	43	ideal	ideal	ADJ
fcis-31256	18	44	for	for	ADP
fcis-31256	18	45	urgent	urgent	ADJ
fcis-31256	18	46	agricultural	agricultural	ADJ
fcis-31256	18	47	tasks	task	NOUN
fcis-31256	18	48	;	;	PUNCT
fcis-31256	18	49	one	one	NUM
fcis-31256	18	50	-	-	PUNCT
fcis-31256	18	51	stage	stage	NOUN
fcis-31256	18	52	models	model	NOUN
fcis-31256	18	53	such	such	ADJ
fcis-31256	18	54	as	as	ADP
fcis-31256	18	55	yolo[3,4,5	yolo[3,4,5	NOUN
fcis-31256	18	56	]	]	PUNCT
fcis-31256	18	57	,	,	PUNCT
fcis-31256	18	58	with	with	SCONJ
fcis-31256	18	59	their	their	PRON
fcis-31256	18	60	lightweight	lightweight	ADJ
fcis-31256	18	61	design	design	NOUN
fcis-31256	18	62	,	,	PUNCT
fcis-31256	18	63	efficient	efficient	ADJ
fcis-31256	18	64	feature	feature	NOUN
fcis-31256	18	65	extraction	extraction	NOUN
fcis-31256	18	66	,	,	PUNCT
fcis-31256	18	67	and	and	CCONJ
fcis-31256	18	68	end	end	NOUN
fcis-31256	18	69	-	-	PUNCT
fcis-31256	18	70	to	to	ADP
fcis-31256	18	71	-	-	PUNCT
fcis-31256	18	72	end	end	NOUN
fcis-31256	18	73	detection	detection	NOUN
fcis-31256	18	74	,	,	PUNCT
fcis-31256	18	75	offer	offer	VERB
fcis-31256	18	76	much	much	ADV
fcis-31256	18	77	faster	fast	ADJ
fcis-31256	18	78	performance	performance	NOUN
fcis-31256	18	79	with	with	ADP
fcis-31256	18	80	little	little	ADJ
fcis-31256	18	81	loss	loss	NOUN
fcis-31256	18	82	in	in	ADP
fcis-31256	18	83	accuracy	accuracy	NOUN
fcis-31256	18	84	,	,	PUNCT
fcis-31256	18	85	significantly	significantly	ADV
fcis-31256	18	86	reducing	reduce	VERB
fcis-31256	18	87	resource	resource	NOUN
fcis-31256	18	88	use	use	NOUN
fcis-31256	18	89	and	and	CCONJ
fcis-31256	18	90	becoming	become	VERB
fcis-31256	18	91	the	the	DET
fcis-31256	18	92	preferred	preferred	ADJ
fcis-31256	18	93	choice	choice	NOUN
fcis-31256	18	94	for	for	ADP
fcis-31256	18	95	automated	automate	VERB
fcis-31256	18	96	orchard	orchard	NOUN
fcis-31256	18	97	detection	detection	NOUN
fcis-31256	18	98	.	.	PUNCT
fcis-31256	19	1	recent	recent	ADJ
fcis-31256	19	2	advances	advance	NOUN
fcis-31256	19	3	in	in	ADP
fcis-31256	19	4	this	this	DET
fcis-31256	19	5	field	field	NOUN
fcis-31256	19	6	have	have	AUX
fcis-31256	19	7	confirmed	confirm	VERB
fcis-31256	19	8	the	the	DET
fcis-31256	19	9	effectiveness	effectiveness	NOUN
fcis-31256	19	10	of	of	ADP
fcis-31256	19	11	this	this	DET
fcis-31256	19	12	approach	approach	NOUN
fcis-31256	19	13	.	.	PUNCT
fcis-31256	20	1	for	for	ADP
fcis-31256	20	2	example	example	NOUN
fcis-31256	20	3	,	,	PUNCT
fcis-31256	20	4	liu[6	liu[6	PROPN
fcis-31256	20	5	]	]	PUNCT
fcis-31256	20	6	used	use	VERB
fcis-31256	20	7	an	an	DET
fcis-31256	20	8	improved	improved	ADJ
fcis-31256	20	9	yolov5	yolov5	NOUN
fcis-31256	20	10	model	model	NOUN
fcis-31256	20	11	for	for	ADP
fcis-31256	20	12	apple	apple	NOUN
fcis-31256	20	13	detection	detection	NOUN
fcis-31256	20	14	.	.	PUNCT
fcis-31256	21	1	tan[7	tan[7	X
fcis-31256	21	2	]	]	PUNCT
fcis-31256	21	3	tackled	tackle	VERB
fcis-31256	21	4	the	the	DET
fcis-31256	21	5	challenges	challenge	NOUN
fcis-31256	21	6	of	of	ADP
fcis-31256	21	7	unstructured	unstructured	ADJ
fcis-31256	21	8	orchard	orchard	ADJ
fcis-31256	21	9	environments	environment	NOUN
fcis-31256	21	10	by	by	ADP
fcis-31256	21	11	enhancing	enhance	VERB
fcis-31256	21	12	the	the	DET
fcis-31256	21	13	yolov8n	yolov8n	NOUN
fcis-31256	21	14	architecture	architecture	NOUN
fcis-31256	21	15	,	,	PUNCT
fcis-31256	21	16	incorporating	incorporate	VERB
fcis-31256	21	17	innovative	innovative	ADJ
fcis-31256	21	18	features	feature	NOUN
fcis-31256	21	19	such	such	ADJ
fcis-31256	21	20	as	as	ADP
fcis-31256	21	21	simplified	simplified	ADJ
fcis-31256	21	22	residual	residual	ADJ
fcis-31256	21	23	modules	module	NOUN
fcis-31256	21	24	,	,	PUNCT
fcis-31256	21	25	simsppf	simsppf	NOUN
fcis-31256	21	26	,	,	PUNCT
fcis-31256	21	27	and	and	CCONJ
fcis-31256	21	28	pconv	pconv	NOUN
fcis-31256	21	29	,	,	PUNCT
fcis-31256	21	30	which	which	PRON
fcis-31256	21	31	greatly	greatly	ADV
fcis-31256	21	32	boosted	boost	VERB
fcis-31256	21	33	detection	detection	NOUN
fcis-31256	21	34	accuracy	accuracy	NOUN
fcis-31256	21	35	and	and	CCONJ
fcis-31256	21	36	speed	speed	NOUN
fcis-31256	21	37	.	.	PUNCT
fcis-31256	22	1	shao	shao	PROPN
fcis-31256	23	1	[	[	X
fcis-31256	23	2	8	8	NUM
fcis-31256	23	3	]	]	PUNCT
fcis-31256	23	4	addressed	address	VERB
fcis-31256	23	5	the	the	DET
fcis-31256	23	6	complexities	complexity	NOUN
fcis-31256	23	7	of	of	ADP
fcis-31256	23	8	growth	growth	NOUN
fcis-31256	23	9	environments	environment	NOUN
fcis-31256	23	10	,	,	PUNCT
fcis-31256	23	11	including	include	VERB
fcis-31256	23	12	fruit	fruit	NOUN
fcis-31256	23	13	occlusion	occlusion	NOUN
fcis-31256	23	14	,	,	PUNCT
fcis-31256	23	15	lighting	lighting	NOUN
fcis-31256	23	16	variations	variation	NOUN
fcis-31256	23	17	,	,	PUNCT
fcis-31256	23	18	and	and	CCONJ
fcis-31256	23	19	dense	dense	ADJ
fcis-31256	23	20	arrangements	arrangement	NOUN
fcis-31256	23	21	,	,	PUNCT
fcis-31256	23	22	by	by	ADP
fcis-31256	23	23	developing	develop	VERB
fcis-31256	23	24	an	an	DET
fcis-31256	23	25	improved	improved	ADJ
fcis-31256	23	26	yolov7	yolov7	NOUN
fcis-31256	23	27	model	model	NOUN
fcis-31256	23	28	that	that	PRON
fcis-31256	23	29	simultaneously	simultaneously	ADV
fcis-31256	23	30	enhances	enhance	VERB
fcis-31256	23	31	pear	pear	NOUN
fcis-31256	23	32	and	and	CCONJ
fcis-31256	23	33	stem	stem	NOUN
fcis-31256	23	34	detection	detection	NOUN
fcis-31256	23	35	,	,	PUNCT
fcis-31256	23	36	achieving	achieve	VERB
fcis-31256	23	37	fast	fast	ADJ
fcis-31256	23	38	real	real	ADJ
fcis-31256	23	39	-	-	PUNCT
fcis-31256	23	40	time	time	NOUN
fcis-31256	23	41	performance	performance	NOUN
fcis-31256	23	42	and	and	CCONJ
fcis-31256	23	43	significantly	significantly	ADV
fcis-31256	23	44	reducing	reduce	VERB
fcis-31256	23	45	fruit	fruit	NOUN
fcis-31256	23	46	damage	damage	NOUN
fcis-31256	23	47	caused	cause	VERB
fcis-31256	23	48	by	by	ADP
fcis-31256	23	49	mechanical	mechanical	ADJ
fcis-31256	23	50	handling	handling	NOUN
fcis-31256	23	51	.	.	PUNCT
fcis-31256	24	1	a	a	DET
fcis-31256	24	2	comprehensive	comprehensive	ADJ
fcis-31256	24	3	review	review	NOUN
fcis-31256	24	4	of	of	ADP
fcis-31256	24	5	existing	exist	VERB
fcis-31256	24	6	research	research	NOUN
fcis-31256	24	7	indicates	indicate	VERB
fcis-31256	24	8	that	that	SCONJ
fcis-31256	24	9	,	,	PUNCT
fcis-31256	24	10	due	due	ADP
fcis-31256	24	11	to	to	ADP
fcis-31256	24	12	the	the	DET
fcis-31256	24	13	variability	variability	NOUN
fcis-31256	24	14	of	of	ADP
fcis-31256	24	15	orchard	orchard	ADJ
fcis-31256	24	16	environments	environment	NOUN
fcis-31256	24	17	and	and	CCONJ
fcis-31256	24	18	diverse	diverse	ADJ
fcis-31256	24	19	task	task	NOUN
fcis-31256	24	20	requirements	requirement	NOUN
fcis-31256	24	21	,	,	PUNCT
fcis-31256	24	22	the	the	DET
fcis-31256	24	23	key	key	NOUN
fcis-31256	24	24	to	to	ADP
fcis-31256	24	25	improving	improve	VERB
fcis-31256	24	26	the	the	DET
fcis-31256	24	27	realtime	realtime	ADJ
fcis-31256	24	28	performance	performance	NOUN
fcis-31256	24	29	and	and	CCONJ
fcis-31256	24	30	adaptability	adaptability	NOUN
fcis-31256	24	31	of	of	ADP
fcis-31256	24	32	korla	korla	PROPN
fcis-31256	24	33	pear	pear	NOUN
fcis-31256	24	34	recognition	recognition	NOUN
fcis-31256	24	35	systems	system	NOUN
fcis-31256	24	36	lies	lie	VERB
fcis-31256	24	37	in	in	ADP
fcis-31256	24	38	creating	create	VERB
fcis-31256	24	39	datasets	dataset	NOUN
fcis-31256	24	40	that	that	PRON
fcis-31256	24	41	accurately	accurately	ADV
fcis-31256	24	42	reflect	reflect	VERB
fcis-31256	24	43	realworld	realworld	NOUN
fcis-31256	24	44	conditions	condition	NOUN
fcis-31256	24	45	and	and	CCONJ
fcis-31256	24	46	employing	employ	VERB
fcis-31256	24	47	lightweight	lightweight	ADJ
fcis-31256	24	48	detection	detection	NOUN
fcis-31256	24	49	models	model	NOUN
fcis-31256	24	50	suitable	suitable	ADJ
fcis-31256	24	51	for	for	ADP
fcis-31256	24	52	hardware	hardware	NOUN
fcis-31256	24	53	-	-	PUNCT
fcis-31256	24	54	efficient	efficient	ADJ
fcis-31256	24	55	deployment	deployment	NOUN
fcis-31256	24	56	.	.	PUNCT
fcis-31256	25	1	this	this	DET
fcis-31256	25	2	strategy	strategy	NOUN
fcis-31256	25	3	not	not	PART
fcis-31256	25	4	only	only	ADV
fcis-31256	25	5	addresses	address	VERB
fcis-31256	25	6	the	the	DET
fcis-31256	25	7	specific	specific	ADJ
fcis-31256	25	8	needs	need	NOUN
fcis-31256	25	9	of	of	ADP
fcis-31256	25	10	different	different	ADJ
fcis-31256	25	11	regional	regional	ADJ
fcis-31256	25	12	orchards	orchard	NOUN
fcis-31256	25	13	but	but	CCONJ
fcis-31256	25	14	also	also	ADV
fcis-31256	25	15	paves	pave	VERB
fcis-31256	25	16	the	the	DET
fcis-31256	25	17	way	way	NOUN
fcis-31256	25	18	for	for	ADP
fcis-31256	25	19	the	the	DET
fcis-31256	25	20	industrial	industrial	ADJ
fcis-31256	25	21	application	application	NOUN
fcis-31256	25	22	of	of	ADP
fcis-31256	25	23	automated	automate	VERB
fcis-31256	25	24	korla	korla	NOUN
fcis-31256	25	25	pear	pear	NOUN
fcis-31256	25	26	harvesting	harvesting	NOUN
fcis-31256	25	27	technology	technology	NOUN
fcis-31256	25	28	.	.	PUNCT
fcis-31256	26	1	3	3	X
fcis-31256	26	2	.	.	X
fcis-31256	26	3	datasets	dataset	NOUN
fcis-31256	26	4	3.1	3.1	NUM
fcis-31256	26	5	.	.	PUNCT
fcis-31256	26	6	dataset	dataset	VERB
fcis-31256	26	7	source	source	NOUN
fcis-31256	26	8	and	and	CCONJ
fcis-31256	26	9	characteristics	characteristic	NOUN
fcis-31256	26	10	this	this	DET
fcis-31256	26	11	study	study	NOUN
fcis-31256	26	12	constructs	construct	VERB
fcis-31256	26	13	a	a	DET
fcis-31256	26	14	dataset	dataset	NOUN
fcis-31256	26	15	sourced	source	VERB
fcis-31256	26	16	from	from	ADP
fcis-31256	26	17	a	a	DET
fcis-31256	26	18	korla	korla	NOUN
fcis-31256	26	19	fragrant	fragrant	ADJ
fcis-31256	26	20	pear	pear	NOUN
fcis-31256	26	21	orchard	orchard	NOUN
fcis-31256	26	22	,	,	PUNCT
fcis-31256	26	23	capturing	capture	VERB
fcis-31256	26	24	the	the	DET
fcis-31256	26	25	complex	complex	ADJ
fcis-31256	26	26	visual	visual	ADJ
fcis-31256	26	27	characteristics	characteristic	NOUN
fcis-31256	26	28	of	of	ADP
fcis-31256	26	29	real	real	ADJ
fcis-31256	26	30	-	-	PUNCT
fcis-31256	26	31	world	world	NOUN
fcis-31256	26	32	fruit	fruit	NOUN
fcis-31256	26	33	-	-	PUNCT
fcis-31256	26	34	growing	grow	VERB
fcis-31256	26	35	environments	environment	NOUN
fcis-31256	26	36	(	(	PUNCT
fcis-31256	26	37	see	see	VERB
fcis-31256	26	38	fig.1(a	fig.1(a	NOUN
fcis-31256	26	39	)	)	PUNCT
fcis-31256	26	40	)	)	PUNCT
fcis-31256	26	41	.	.	PUNCT
fcis-31256	27	1	the	the	DET
fcis-31256	27	2	images	image	NOUN
fcis-31256	27	3	represent	represent	VERB
fcis-31256	27	4	diverse	diverse	ADJ
fcis-31256	27	5	target	target	NOUN
fcis-31256	27	6	features	feature	NOUN
fcis-31256	27	7	,	,	PUNCT
fcis-31256	27	8	including	include	VERB
fcis-31256	27	9	variations	variation	NOUN
fcis-31256	27	10	in	in	ADP
fcis-31256	27	11	shape	shape	NOUN
fcis-31256	27	12	,	,	PUNCT
fcis-31256	27	13	size	size	NOUN
fcis-31256	27	14	,	,	PUNCT
fcis-31256	27	15	spatial	spatial	ADJ
fcis-31256	27	16	distribution	distribution	NOUN
fcis-31256	27	17	,	,	PUNCT
fcis-31256	27	18	and	and	CCONJ
fcis-31256	27	19	maturity	maturity	NOUN
fcis-31256	27	20	,	,	PUNCT
fcis-31256	27	21	while	while	SCONJ
fcis-31256	27	22	also	also	ADV
fcis-31256	27	23	presenting	present	VERB
fcis-31256	27	24	challenges	challenge	NOUN
fcis-31256	27	25	such	such	ADJ
fcis-31256	27	26	as	as	ADP
fcis-31256	27	27	occlusion	occlusion	NOUN
fcis-31256	27	28	from	from	ADP
fcis-31256	27	29	leaves	leave	NOUN
fcis-31256	27	30	and	and	CCONJ
fcis-31256	27	31	branches	branch	NOUN
fcis-31256	27	32	and	and	CCONJ
fcis-31256	27	33	signs	sign	NOUN
fcis-31256	27	34	of	of	ADP
fcis-31256	27	35	disease	disease	NOUN
fcis-31256	27	36	.	.	PUNCT
fcis-31256	28	1	these	these	DET
fcis-31256	28	2	conditions	condition	NOUN
fcis-31256	28	3	introduce	introduce	VERB
fcis-31256	28	4	significant	significant	ADJ
fcis-31256	28	5	variability	variability	NOUN
fcis-31256	28	6	that	that	PRON
fcis-31256	28	7	mirrors	mirror	VERB
fcis-31256	28	8	real	real	ADJ
fcis-31256	28	9	detection	detection	NOUN
fcis-31256	28	10	scenarios	scenario	NOUN
fcis-31256	28	11	.	.	PUNCT
fcis-31256	29	1	collected	collect	VERB
fcis-31256	29	2	using	use	VERB
fcis-31256	29	3	standard	standard	ADJ
fcis-31256	29	4	mobile	mobile	ADJ
fcis-31256	29	5	phones	phone	NOUN
fcis-31256	29	6	,	,	PUNCT
fcis-31256	29	7	the	the	DET
fcis-31256	29	8	high	high	ADJ
fcis-31256	29	9	-	-	PUNCT
fcis-31256	29	10	resolution	resolution	NOUN
fcis-31256	29	11	images	image	NOUN
fcis-31256	29	12	(	(	PUNCT
fcis-31256	29	13	up	up	ADP
fcis-31256	29	14	to	to	ADP
fcis-31256	29	15	4096	4096	NUM
fcis-31256	29	16	×	×	PROPN
fcis-31256	29	17	2736	2736	NUM
fcis-31256	29	18	pixels	pixel	NOUN
fcis-31256	29	19	)	)	PUNCT
fcis-31256	29	20	provide	provide	VERB
fcis-31256	29	21	89	89	NUM
fcis-31256	29	22	a	a	DET
fcis-31256	29	23	solid	solid	ADJ
fcis-31256	29	24	foundation	foundation	NOUN
fcis-31256	29	25	for	for	ADP
fcis-31256	29	26	developing	develop	VERB
fcis-31256	29	27	robust	robust	ADJ
fcis-31256	29	28	and	and	CCONJ
fcis-31256	29	29	generalizable	generalizable	ADJ
fcis-31256	29	30	object	object	NOUN
fcis-31256	29	31	detection	detection	NOUN
fcis-31256	29	32	models	model	NOUN
fcis-31256	29	33	tailored	tailor	VERB
fcis-31256	29	34	to	to	ADP
fcis-31256	29	35	agricultural	agricultural	ADJ
fcis-31256	29	36	applications	application	NOUN
fcis-31256	29	37	.	.	PUNCT
fcis-31256	30	1	3.2	3.2	NUM
fcis-31256	30	2	.	.	PUNCT
fcis-31256	30	3	input	input	NOUN
fcis-31256	30	4	adaptation	adaptation	NOUN
fcis-31256	30	5	and	and	CCONJ
fcis-31256	30	6	image	image	NOUN
fcis-31256	30	7	tiling	tile	VERB
fcis-31256	30	8	strategy	strategy	NOUN
fcis-31256	30	9	the	the	DET
fcis-31256	30	10	high	high	ADJ
fcis-31256	30	11	resolution	resolution	NOUN
fcis-31256	30	12	of	of	ADP
fcis-31256	30	13	the	the	DET
fcis-31256	30	14	original	original	ADJ
fcis-31256	30	15	images	image	NOUN
fcis-31256	30	16	creates	create	VERB
fcis-31256	30	17	a	a	DET
fcis-31256	30	18	compatibility	compatibility	NOUN
fcis-31256	30	19	challenge	challenge	NOUN
fcis-31256	30	20	for	for	ADP
fcis-31256	30	21	the	the	DET
fcis-31256	30	22	nanodet	nanodet	NOUN
fcis-31256	30	23	-	-	PUNCT
fcis-31256	30	24	plus	plus	CCONJ
fcis-31256	30	25	model	model	NOUN
fcis-31256	30	26	,	,	PUNCT
fcis-31256	30	27	which	which	PRON
fcis-31256	30	28	is	be	AUX
fcis-31256	30	29	designed	design	VERB
fcis-31256	30	30	for	for	ADP
fcis-31256	30	31	smaller	small	ADJ
fcis-31256	30	32	input	input	NOUN
fcis-31256	30	33	sizes	size	NOUN
fcis-31256	30	34	(	(	PUNCT
fcis-31256	30	35	320	320	NUM
fcis-31256	30	36	×	×	NOUN
fcis-31256	30	37	320	320	NUM
fcis-31256	30	38	pixels	pixel	NOUN
fcis-31256	30	39	or	or	CCONJ
fcis-31256	30	40	416	416	NUM
fcis-31256	30	41	×	×	NOUN
fcis-31256	30	42	416	416	NUM
fcis-31256	30	43	pixels	pixel	NOUN
fcis-31256	30	44	)	)	PUNCT
fcis-31256	30	45	.	.	PUNCT
fcis-31256	31	1	simply	simply	ADV
fcis-31256	31	2	changing	change	VERB
fcis-31256	31	3	the	the	DET
fcis-31256	31	4	input	input	NOUN
fcis-31256	31	5	layer	layer	NOUN
fcis-31256	31	6	would	would	AUX
fcis-31256	31	7	not	not	PART
fcis-31256	31	8	only	only	ADV
fcis-31256	31	9	disrupt	disrupt	VERB
fcis-31256	31	10	pretrained	pretraine	VERB
fcis-31256	31	11	weights	weight	NOUN
fcis-31256	31	12	but	but	CCONJ
fcis-31256	31	13	also	also	ADV
fcis-31256	31	14	increase	increase	VERB
fcis-31256	31	15	the	the	DET
fcis-31256	31	16	model	model	NOUN
fcis-31256	31	17	’s	’s	PART
fcis-31256	31	18	complexity	complexity	NOUN
fcis-31256	31	19	and	and	CCONJ
fcis-31256	31	20	slow	slow	VERB
fcis-31256	31	21	down	down	ADP
fcis-31256	31	22	inference	inference	NOUN
fcis-31256	31	23	.	.	PUNCT
fcis-31256	32	1	to	to	PART
fcis-31256	32	2	solve	solve	VERB
fcis-31256	32	3	this	this	PRON
fcis-31256	32	4	,	,	PUNCT
fcis-31256	32	5	we	we	PRON
fcis-31256	32	6	use	use	VERB
fcis-31256	32	7	a	a	DET
fcis-31256	32	8	practical	practical	ADJ
fcis-31256	32	9	image	image	NOUN
fcis-31256	32	10	tiling	tile	VERB
fcis-31256	32	11	strategy	strategy	NOUN
fcis-31256	32	12	that	that	PRON
fcis-31256	32	13	allows	allow	VERB
fcis-31256	32	14	seamless	seamless	ADJ
fcis-31256	32	15	adaptation	adaptation	NOUN
fcis-31256	32	16	without	without	ADP
fcis-31256	32	17	changing	change	VERB
fcis-31256	32	18	the	the	DET
fcis-31256	32	19	model	model	NOUN
fcis-31256	32	20	architecture	architecture	NOUN
fcis-31256	32	21	.	.	PUNCT
fcis-31256	33	1	this	this	DET
fcis-31256	33	2	approach	approach	NOUN
fcis-31256	33	3	ensures	ensure	VERB
fcis-31256	33	4	efficient	efficient	ADJ
fcis-31256	33	5	feature	feature	NOUN
fcis-31256	33	6	use	use	NOUN
fcis-31256	33	7	and	and	CCONJ
fcis-31256	33	8	computational	computational	ADJ
fcis-31256	33	9	performance	performance	NOUN
fcis-31256	33	10	,	,	PUNCT
fcis-31256	33	11	making	make	VERB
fcis-31256	33	12	it	it	PRON
fcis-31256	33	13	especially	especially	ADV
fcis-31256	33	14	suitable	suitable	ADJ
fcis-31256	33	15	for	for	ADP
fcis-31256	33	16	lightweight	lightweight	ADJ
fcis-31256	33	17	deployment	deployment	NOUN
fcis-31256	33	18	in	in	ADP
fcis-31256	33	19	resource	resource	NOUN
fcis-31256	33	20	-	-	PUNCT
fcis-31256	33	21	limited	limit	VERB
fcis-31256	33	22	environments	environment	NOUN
fcis-31256	33	23	like	like	ADP
fcis-31256	33	24	mobile	mobile	ADJ
fcis-31256	33	25	or	or	CCONJ
fcis-31256	33	26	edge	edge	NOUN
fcis-31256	33	27	devices	device	NOUN
fcis-31256	33	28	.	.	PUNCT
fcis-31256	34	1	3.3	3.3	NUM
fcis-31256	34	2	.	.	PUNCT
fcis-31256	35	1	high	high	ADJ
fcis-31256	35	2	-	-	PUNCT
fcis-31256	35	3	resolution	resolution	NOUN
fcis-31256	35	4	annotation	annotation	NOUN
fcis-31256	35	5	workflow	workflow	NOUN
fcis-31256	35	6	and	and	CCONJ
fcis-31256	35	7	sample	sample	NOUN
fcis-31256	35	8	generation	generation	NOUN
fcis-31256	35	9	to	to	PART
fcis-31256	35	10	efficiently	efficiently	ADV
fcis-31256	35	11	handle	handle	VERB
fcis-31256	35	12	large	large	ADJ
fcis-31256	35	13	volumes	volume	NOUN
fcis-31256	35	14	of	of	ADP
fcis-31256	35	15	high	high	ADJ
fcis-31256	35	16	-	-	PUNCT
fcis-31256	35	17	resolution	resolution	NOUN
fcis-31256	35	18	data	datum	NOUN
fcis-31256	35	19	,	,	PUNCT
fcis-31256	35	20	we	we	PRON
fcis-31256	35	21	design	design	VERB
fcis-31256	35	22	a	a	DET
fcis-31256	35	23	scalable	scalable	ADJ
fcis-31256	35	24	annotation	annotation	NOUN
fcis-31256	35	25	workflow	workflow	NOUN
fcis-31256	35	26	that	that	PRON
fcis-31256	35	27	combines	combine	VERB
fcis-31256	35	28	manual	manual	ADJ
fcis-31256	35	29	precision	precision	NOUN
fcis-31256	35	30	with	with	ADP
fcis-31256	35	31	automation	automation	NOUN
fcis-31256	35	32	.	.	PUNCT
fcis-31256	36	1	as	as	SCONJ
fcis-31256	36	2	shown	show	VERB
fcis-31256	36	3	in	in	ADP
fcis-31256	36	4	fig.2	fig.2	PROPN
fcis-31256	36	5	,	,	PUNCT
fcis-31256	36	6	the	the	DET
fcis-31256	36	7	process	process	NOUN
fcis-31256	36	8	starts	start	VERB
fcis-31256	36	9	with	with	ADP
fcis-31256	36	10	initial	initial	ADJ
fcis-31256	36	11	annotation	annotation	NOUN
fcis-31256	36	12	in	in	ADP
fcis-31256	36	13	labelme	labelme	PROPN
fcis-31256	36	14	,	,	PUNCT
fcis-31256	36	15	followed	follow	VERB
fcis-31256	36	16	by	by	ADP
fcis-31256	36	17	automated	automate	VERB
fcis-31256	36	18	clustering	clustering	NOUN
fcis-31256	36	19	using	use	VERB
fcis-31256	36	20	the	the	DET
fcis-31256	36	21	dbscan	dbscan	ADJ
fcis-31256	36	22	algorithm	algorithm	NOUN
fcis-31256	36	23	and	and	CCONJ
fcis-31256	36	24	the	the	DET
fcis-31256	36	25	creation	creation	NOUN
fcis-31256	36	26	of	of	ADP
fcis-31256	36	27	padded	padded	ADJ
fcis-31256	36	28	bounding	bounding	NOUN
fcis-31256	36	29	boxes	box	NOUN
fcis-31256	36	30	to	to	PART
fcis-31256	36	31	assist	assist	VERB
fcis-31256	36	32	with	with	ADP
fcis-31256	36	33	image	image	NOUN
fcis-31256	36	34	cropping	cropping	NOUN
fcis-31256	36	35	.	.	PUNCT
fcis-31256	37	1	sub	sub	NOUN
fcis-31256	37	2	-	-	NOUN
fcis-31256	37	3	images	image	NOUN
fcis-31256	37	4	are	be	AUX
fcis-31256	37	5	then	then	ADV
fcis-31256	37	6	refined	refine	VERB
fcis-31256	37	7	through	through	ADP
fcis-31256	37	8	secondary	secondary	ADJ
fcis-31256	37	9	annotation	annotation	NOUN
fcis-31256	37	10	,	,	PUNCT
fcis-31256	37	11	and	and	CCONJ
fcis-31256	37	12	all	all	DET
fcis-31256	37	13	labels	label	NOUN
fcis-31256	37	14	are	be	AUX
fcis-31256	37	15	exported	export	VERB
fcis-31256	37	16	in	in	ADP
fcis-31256	37	17	a	a	DET
fcis-31256	37	18	standard	standard	ADJ
fcis-31256	37	19	format	format	NOUN
fcis-31256	37	20	.	.	PUNCT
fcis-31256	38	1	this	this	DET
fcis-31256	38	2	approach	approach	NOUN
fcis-31256	38	3	balances	balance	VERB
fcis-31256	38	4	annotation	annotation	NOUN
fcis-31256	38	5	speed	speed	NOUN
fcis-31256	38	6	and	and	CCONJ
fcis-31256	38	7	accuracy	accuracy	NOUN
fcis-31256	38	8	,	,	PUNCT
fcis-31256	38	9	enabling	enable	VERB
fcis-31256	38	10	high	high	ADJ
fcis-31256	38	11	-	-	PUNCT
fcis-31256	38	12	throughput	throughput	NOUN
fcis-31256	38	13	dataset	dataset	NOUN
fcis-31256	38	14	generation	generation	NOUN
fcis-31256	38	15	with	with	ADP
fcis-31256	38	16	minimal	minimal	ADJ
fcis-31256	38	17	human	human	ADJ
fcis-31256	38	18	effort	effort	NOUN
fcis-31256	38	19	.	.	PUNCT
fcis-31256	39	1	the	the	DET
fcis-31256	39	2	final	final	ADJ
fcis-31256	39	3	result	result	NOUN
fcis-31256	39	4	includes	include	VERB
fcis-31256	39	5	5,591	5,591	NUM
fcis-31256	39	6	annotated	annotated	ADJ
fcis-31256	39	7	pear	pear	NOUN
fcis-31256	39	8	instances	instance	NOUN
fcis-31256	39	9	,	,	PUNCT
fcis-31256	39	10	standardized	standardize	VERB
fcis-31256	39	11	in	in	ADP
fcis-31256	39	12	resolution	resolution	NOUN
fcis-31256	39	13	and	and	CCONJ
fcis-31256	39	14	label	label	NOUN
fcis-31256	39	15	format	format	NOUN
fcis-31256	39	16	,	,	PUNCT
fcis-31256	39	17	providing	provide	VERB
fcis-31256	39	18	a	a	DET
fcis-31256	39	19	high	high	ADJ
fcis-31256	39	20	-	-	PUNCT
fcis-31256	39	21	quality	quality	NOUN
fcis-31256	39	22	resource	resource	NOUN
fcis-31256	39	23	for	for	ADP
fcis-31256	39	24	model	model	NOUN
fcis-31256	39	25	training	training	NOUN
fcis-31256	39	26	and	and	CCONJ
fcis-31256	39	27	evaluation	evaluation	NOUN
fcis-31256	39	28	.	.	PUNCT
fcis-31256	40	1	fig	fig	NOUN
fcis-31256	40	2	1	1	NUM
fcis-31256	40	3	.	.	PUNCT
fcis-31256	41	1	comparison	comparison	NOUN
fcis-31256	41	2	of	of	ADP
fcis-31256	41	3	xinjiang	xinjiang	PROPN
fcis-31256	41	4	pear	pear	VERB
fcis-31256	41	5	images	image	NOUN
fcis-31256	41	6	before	before	ADV
fcis-31256	41	7	and	and	CCONJ
fcis-31256	41	8	after	after	ADP
fcis-31256	41	9	segmentation	segmentation	NOUN
fcis-31256	41	10	object	object	VERB
fcis-31256	41	11	annotation	annotation	NOUN
fcis-31256	41	12	in	in	ADP
fcis-31256	41	13	high	high	ADJ
fcis-31256	41	14	-	-	PUNCT
fcis-31256	41	15	resolution	resolution	NOUN
fcis-31256	41	16	images	image	NOUN
fcis-31256	41	17	dbscan	dbscan	NOUN
fcis-31256	41	18	clustering	cluster	VERB
fcis-31256	41	19	for	for	ADP
fcis-31256	41	20	object	object	NOUN
fcis-31256	41	21	detection	detection	NOUN
fcis-31256	41	22	targets	target	VERB
fcis-31256	41	23	crop	crop	NOUN
fcis-31256	41	24	region	region	NOUN
fcis-31256	41	25	calculation	calculation	NOUN
fcis-31256	41	26	image	image	NOUN
fcis-31256	41	27	processing	processing	NOUN
fcis-31256	41	28	export	export	NOUN
fcis-31256	41	29	image	image	NOUN
fcis-31256	41	30	annotation	annotation	NOUN
fcis-31256	41	31	information	information	NOUN
fcis-31256	41	32	re	re	VERB
fcis-31256	41	33	-	-	VERB
fcis-31256	41	34	annotate	annotate	VERB
fcis-31256	41	35	the	the	DET
fcis-31256	41	36	targets	target	NOUN
fcis-31256	41	37	fig	fig	NOUN
fcis-31256	41	38	2	2	NUM
fcis-31256	41	39	.	.	PUNCT
fcis-31256	41	40	re	re	VERB
fcis-31256	41	41	-	-	NOUN
fcis-31256	41	42	annotation	annotation	NOUN
fcis-31256	41	43	process	process	NOUN
fcis-31256	41	44	of	of	ADP
fcis-31256	41	45	fragrant	fragrant	ADJ
fcis-31256	41	46	pear	pear	NOUN
fcis-31256	41	47	datasets	dataset	NOUN
fcis-31256	41	48	4	4	NUM
fcis-31256	41	49	.	.	PUNCT
fcis-31256	42	1	construction	construction	NOUN
fcis-31256	42	2	of	of	ADP
fcis-31256	42	3	object	object	NOUN
fcis-31256	42	4	detection	detection	NOUN
fcis-31256	42	5	model	model	NOUN
fcis-31256	42	6	for	for	ADP
fcis-31256	42	7	pears	pear	NOUN
fcis-31256	42	8	4.1	4.1	NUM
fcis-31256	42	9	.	.	PUNCT
fcis-31256	42	10	nanodet	nanodet	NOUN
fcis-31256	42	11	-	-	PUNCT
fcis-31256	42	12	plus	plus	CCONJ
fcis-31256	42	13	nanodet	nanodet	NOUN
fcis-31256	42	14	-	-	PUNCT
fcis-31256	42	15	plus	plus	CCONJ
fcis-31256	42	16	is	be	AUX
fcis-31256	42	17	a	a	DET
fcis-31256	42	18	lightweight	lightweight	ADJ
fcis-31256	42	19	,	,	PUNCT
fcis-31256	42	20	single	single	ADJ
fcis-31256	42	21	-	-	PUNCT
fcis-31256	42	22	stage	stage	NOUN
fcis-31256	42	23	,	,	PUNCT
fcis-31256	42	24	anchor	anchor	NOUN
fcis-31256	42	25	-	-	PUNCT
fcis-31256	42	26	free	free	ADJ
fcis-31256	42	27	detection	detection	NOUN
fcis-31256	42	28	model	model	NOUN
fcis-31256	42	29	designed	design	VERB
fcis-31256	42	30	for	for	ADP
fcis-31256	42	31	real	real	ADJ
fcis-31256	42	32	-	-	PUNCT
fcis-31256	42	33	time	time	NOUN
fcis-31256	42	34	object	object	NOUN
fcis-31256	42	35	detection	detection	NOUN
fcis-31256	42	36	on	on	ADP
fcis-31256	42	37	mobile	mobile	ADJ
fcis-31256	42	38	devices	device	NOUN
fcis-31256	42	39	.	.	PUNCT
fcis-31256	43	1	it	it	PRON
fcis-31256	43	2	achieves	achieve	VERB
fcis-31256	43	3	excellent	excellent	ADJ
fcis-31256	43	4	inference	inference	NOUN
fcis-31256	43	5	speed	speed	NOUN
fcis-31256	43	6	and	and	CCONJ
fcis-31256	43	7	high	high	ADJ
fcis-31256	43	8	detection	detection	NOUN
fcis-31256	43	9	accuracy	accuracy	NOUN
fcis-31256	43	10	through	through	ADP
fcis-31256	43	11	innovative	innovative	ADJ
fcis-31256	43	12	features	feature	NOUN
fcis-31256	43	13	.	.	PUNCT
fcis-31256	44	1	the	the	DET
fcis-31256	44	2	model	model	NOUN
fcis-31256	44	3	includes	include	VERB
fcis-31256	44	4	an	an	DET
fcis-31256	44	5	assignment	assignment	NOUN
fcis-31256	44	6	guidance	guidance	NOUN
fcis-31256	44	7	module	module	NOUN
fcis-31256	44	8	(	(	PUNCT
fcis-31256	44	9	agm	agm	PROPN
fcis-31256	44	10	)	)	PUNCT
fcis-31256	44	11	and	and	CCONJ
fcis-31256	44	12	a	a	DET
fcis-31256	44	13	dynamic	dynamic	ADJ
fcis-31256	44	14	soft	soft	ADJ
fcis-31256	44	15	label	label	NOUN
fcis-31256	44	16	assigner	assigner	NOUN
fcis-31256	44	17	(	(	PUNCT
fcis-31256	44	18	dsla	dsla	PROPN
fcis-31256	44	19	)	)	PUNCT
fcis-31256	44	20	,	,	PUNCT
fcis-31256	44	21	which	which	PRON
fcis-31256	44	22	address	address	VERB
fcis-31256	44	23	the	the	DET
fcis-31256	44	24	challenge	challenge	NOUN
fcis-31256	44	25	of	of	ADP
fcis-31256	44	26	optimal	optimal	ADJ
fcis-31256	44	27	label	label	NOUN
fcis-31256	44	28	assignment	assignment	NOUN
fcis-31256	44	29	common	common	ADJ
fcis-31256	44	30	in	in	ADP
fcis-31256	44	31	lightweight	lightweight	ADJ
fcis-31256	44	32	architectures	architecture	NOUN
fcis-31256	44	33	.	.	PUNCT
fcis-31256	45	1	it	it	PRON
fcis-31256	45	2	also	also	ADV
fcis-31256	45	3	features	feature	VERB
fcis-31256	45	4	a	a	DET
fcis-31256	45	5	ghost	ghost	NOUN
fcis-31256	45	6	-	-	PUNCT
fcis-31256	45	7	pan	pan	NOUN
fcis-31256	45	8	structure	structure	NOUN
fcis-31256	45	9	that	that	PRON
fcis-31256	45	10	improves	improve	VERB
fcis-31256	45	11	multi	multi	ADJ
fcis-31256	45	12	-	-	ADJ
fcis-31256	45	13	scale	scale	ADJ
fcis-31256	45	14	feature	feature	NOUN
fcis-31256	45	15	fusion	fusion	NOUN
fcis-31256	45	16	by	by	ADP
fcis-31256	45	17	efficiently	efficiently	ADV
fcis-31256	45	18	reusing	reuse	VERB
fcis-31256	45	19	features	feature	NOUN
fcis-31256	45	20	.	.	PUNCT
fcis-31256	46	1	supporting	support	VERB
fcis-31256	46	2	multiple	multiple	ADJ
fcis-31256	46	3	input	input	NOUN
fcis-31256	46	4	resolutions	resolution	NOUN
fcis-31256	46	5	such	such	ADJ
fcis-31256	46	6	as	as	ADP
fcis-31256	46	7	416×416	416×416	NUM
fcis-31256	46	8	pixels	pixel	NOUN
fcis-31256	46	9	and	and	CCONJ
fcis-31256	46	10	320×320	320×320	NUM
fcis-31256	46	11	pixels	pixel	NOUN
fcis-31256	46	12	,	,	PUNCT
fcis-31256	46	13	nanodet	nanodet	NOUN
fcis-31256	46	14	-	-	PUNCT
fcis-31256	46	15	plus	plus	NOUN
fcis-31256	46	16	offers	offer	VERB
fcis-31256	46	17	flexible	flexible	ADJ
fcis-31256	46	18	configuration	configuration	NOUN
fcis-31256	46	19	options	option	NOUN
fcis-31256	46	20	,	,	PUNCT
fcis-31256	46	21	making	make	VERB
fcis-31256	46	22	it	it	PRON
fcis-31256	46	23	suitable	suitable	ADJ
fcis-31256	46	24	for	for	ADP
fcis-31256	46	25	deployment	deployment	NOUN
fcis-31256	46	26	across	across	ADP
fcis-31256	46	27	various	various	ADJ
fcis-31256	46	28	computational	computational	ADJ
fcis-31256	46	29	environments	environment	NOUN
fcis-31256	46	30	.	.	PUNCT
fcis-31256	47	1	backone	backone	NOUN
fcis-31256	47	2	ghost	ghost	NOUN
fcis-31256	47	3	-	-	PUNCT
fcis-31256	47	4	pan	pan	NOUN
fcis-31256	47	5	head	head	NOUN
fcis-31256	47	6	mobilenet	mobilenet	NOUN
fcis-31256	47	7	v3shufflenetv2	v3shufflenetv2	PROPN
fcis-31256	47	8	fig	fig	NOUN
fcis-31256	47	9	3	3	NUM
fcis-31256	47	10	.	.	PUNCT
fcis-31256	47	11	improved	improve	VERB
fcis-31256	47	12	nanodet	nanodet	NOUN
fcis-31256	47	13	-	-	PUNCT
fcis-31256	47	14	plus	plus	NOUN
fcis-31256	47	15	model	model	NOUN
fcis-31256	47	16	architecture	architecture	NOUN
fcis-31256	47	17	4.2	4.2	NUM
fcis-31256	47	18	.	.	PUNCT
fcis-31256	48	1	model	model	PROPN
fcis-31256	48	2	improvements	improvements	PROPN
fcis-31256	48	3	nanodet	nanodet	NOUN
fcis-31256	48	4	-	-	PUNCT
fcis-31256	48	5	plus	plus	CCONJ
fcis-31256	48	6	originally	originally	ADV
fcis-31256	48	7	uses	use	VERB
fcis-31256	48	8	shufflenetv2[9	shufflenetv2[9	PROPN
fcis-31256	48	9	]	]	PUNCT
fcis-31256	48	10	as	as	ADP
fcis-31256	48	11	its	its	PRON
fcis-31256	48	12	backbone	backbone	NOUN
fcis-31256	48	13	,	,	PUNCT
fcis-31256	48	14	utilizing	utilize	VERB
fcis-31256	48	15	depthwise	depthwise	NOUN
fcis-31256	48	16	separable	separable	ADJ
fcis-31256	48	17	convolutions	convolution	NOUN
fcis-31256	48	18	and	and	CCONJ
fcis-31256	48	19	channel	channel	NOUN
fcis-31256	48	20	-	-	PUNCT
fcis-31256	48	21	shuffling	shuffle	VERB
fcis-31256	48	22	mechanisms	mechanism	NOUN
fcis-31256	48	23	to	to	PART
fcis-31256	48	24	greatly	greatly	ADV
fcis-31256	48	25	improve	improve	VERB
fcis-31256	48	26	spatial	spatial	ADJ
fcis-31256	48	27	feature	feature	NOUN
fcis-31256	48	28	retention	retention	NOUN
fcis-31256	48	29	while	while	SCONJ
fcis-31256	48	30	keeping	keep	VERB
fcis-31256	48	31	low	low	ADJ
fcis-31256	48	32	memory	memory	NOUN
fcis-31256	48	33	access	access	NOUN
fcis-31256	48	34	overhead	overhead	ADV
fcis-31256	48	35	.	.	PUNCT
fcis-31256	49	1	this	this	DET
fcis-31256	49	2	design	design	NOUN
fcis-31256	49	3	is	be	AUX
fcis-31256	49	4	especially	especially	ADV
fcis-31256	49	5	beneficial	beneficial	ADJ
fcis-31256	49	6	for	for	ADP
fcis-31256	49	7	extracting	extract	VERB
fcis-31256	49	8	highresolution	highresolution	NOUN
fcis-31256	49	9	features	feature	NOUN
fcis-31256	49	10	from	from	ADP
fcis-31256	49	11	small	small	ADJ
fcis-31256	49	12	objects	object	NOUN
fcis-31256	49	13	.	.	PUNCT
fcis-31256	50	1	additionally	additionally	ADV
fcis-31256	50	2	,	,	PUNCT
fcis-31256	50	3	shufflenetv2	shufflenetv2	NOUN
fcis-31256	50	4	avoids	avoid	VERB
fcis-31256	50	5	excessive	excessive	ADJ
fcis-31256	50	6	group	group	NOUN
fcis-31256	50	7	convolutions	convolution	NOUN
fcis-31256	50	8	,	,	PUNCT
fcis-31256	50	9	which	which	PRON
fcis-31256	50	10	helps	help	VERB
fcis-31256	50	11	reduce	reduce	VERB
fcis-31256	50	12	feature	feature	NOUN
fcis-31256	50	13	fragmentation	fragmentation	NOUN
fcis-31256	50	14	and	and	CCONJ
fcis-31256	50	15	prevents	prevent	VERB
fcis-31256	50	16	the	the	DET
fcis-31256	50	17	loss	loss	NOUN
fcis-31256	50	18	of	of	ADP
fcis-31256	50	19	detailed	detailed	ADJ
fcis-31256	50	20	small	small	ADJ
fcis-31256	50	21	-	-	PUNCT
fcis-31256	50	22	object	object	NOUN
fcis-31256	50	23	information	information	NOUN
fcis-31256	50	24	in	in	ADP
fcis-31256	50	25	deeper	deep	ADJ
fcis-31256	50	26	network	network	NOUN
fcis-31256	50	27	layers	layer	NOUN
fcis-31256	50	28	.	.	PUNCT
fcis-31256	51	1	alternatively	alternatively	ADV
fcis-31256	51	2	,	,	PUNCT
fcis-31256	51	3	mobilenetv3[10	mobilenetv3[10	PROPN
fcis-31256	51	4	]	]	PUNCT
fcis-31256	51	5	,	,	PUNCT
fcis-31256	51	6	google	google	PROPN
fcis-31256	51	7	's	's	PART
fcis-31256	51	8	third	third	ADJ
fcis-31256	51	9	-	-	PUNCT
fcis-31256	51	10	generation	generation	NOUN
fcis-31256	51	11	lightweight	lightweight	ADJ
fcis-31256	51	12	convolutional	convolutional	ADJ
fcis-31256	51	13	neural	neural	ADJ
fcis-31256	51	14	network	network	NOUN
fcis-31256	51	15	,	,	PUNCT
fcis-31256	51	16	offers	offer	VERB
fcis-31256	51	17	two	two	NUM
fcis-31256	51	18	versions	version	NOUN
fcis-31256	51	19	—	—	PUNCT
fcis-31256	51	20	large	large	ADJ
fcis-31256	51	21	and	and	CCONJ
fcis-31256	51	22	small	small	ADJ
fcis-31256	51	23	—	—	PUNCT
fcis-31256	51	24	to	to	PART
fcis-31256	51	25	meet	meet	VERB
fcis-31256	51	26	various	various	ADJ
fcis-31256	51	27	computational	computational	ADJ
fcis-31256	51	28	resource	resource	NOUN
fcis-31256	51	29	needs	need	NOUN
fcis-31256	51	30	and	and	CCONJ
fcis-31256	51	31	deployment	deployment	NOUN
fcis-31256	51	32	scenarios	scenario	NOUN
fcis-31256	51	33	.	.	PUNCT
fcis-31256	52	1	when	when	SCONJ
fcis-31256	52	2	detecting	detect	VERB
fcis-31256	52	3	fragrant	fragrant	ADJ
fcis-31256	52	4	pears	pear	NOUN
fcis-31256	52	5	,	,	PUNCT
fcis-31256	52	6	the	the	DET
fcis-31256	52	7	decision	decision	NOUN
fcis-31256	52	8	between	between	ADP
fcis-31256	52	9	shufflenetv2	shufflenetv2	NOUN
fcis-31256	52	10	and	and	CCONJ
fcis-31256	52	11	mobilenetv3	mobilenetv3	PROPN
fcis-31256	52	12	as	as	SCONJ
fcis-31256	52	13	the	the	DET
fcis-31256	52	14	backbone	backbone	NOUN
fcis-31256	52	15	depends	depend	VERB
fcis-31256	52	16	on	on	ADP
fcis-31256	52	17	their	their	PRON
fcis-31256	52	18	ability	ability	NOUN
fcis-31256	52	19	to	to	PART
fcis-31256	52	20	capture	capture	VERB
fcis-31256	52	21	fine	fine	ADJ
fcis-31256	52	22	details	detail	NOUN
fcis-31256	52	23	of	of	ADP
fcis-31256	52	24	small	small	ADJ
fcis-31256	52	25	objects	object	NOUN
fcis-31256	52	26	and	and	CCONJ
fcis-31256	52	27	their	their	PRON
fcis-31256	52	28	suitability	suitability	NOUN
fcis-31256	52	29	for	for	ADP
fcis-31256	52	30	edge	edge	NOUN
fcis-31256	52	31	computing	computing	NOUN
fcis-31256	52	32	.	.	PUNCT
fcis-31256	53	1	due	due	ADP
fcis-31256	53	2	to	to	ADP
fcis-31256	53	3	the	the	DET
fcis-31256	53	4	small	small	ADJ
fcis-31256	53	5	size	size	NOUN
fcis-31256	53	6	and	and	CCONJ
fcis-31256	53	7	delicate	delicate	ADJ
fcis-31256	53	8	features	feature	NOUN
fcis-31256	53	9	of	of	ADP
fcis-31256	53	10	fragrant	fragrant	ADJ
fcis-31256	53	11	pears	pear	NOUN
fcis-31256	53	12	,	,	PUNCT
fcis-31256	53	13	shufflenetv2	shufflenetv2	NOUN
fcis-31256	53	14	often	often	ADV
fcis-31256	53	15	faces	face	VERB
fcis-31256	53	16	limitations	limitation	NOUN
fcis-31256	53	17	,	,	PUNCT
fcis-31256	53	18	leading	lead	VERB
fcis-31256	53	19	to	to	ADP
fcis-31256	53	20	missed	miss	VERB
fcis-31256	53	21	or	or	CCONJ
fcis-31256	53	22	false	false	ADJ
fcis-31256	53	23	detections	detection	NOUN
fcis-31256	53	24	because	because	SCONJ
fcis-31256	53	25	of	of	ADP
fcis-31256	53	26	insufficient	insufficient	ADJ
fcis-31256	53	27	feature	feature	NOUN
fcis-31256	53	28	extraction	extraction	NOUN
fcis-31256	53	29	.	.	PUNCT
fcis-31256	54	1	therefore	therefore	ADV
fcis-31256	54	2	,	,	PUNCT
fcis-31256	54	3	this	this	DET
fcis-31256	54	4	study	study	NOUN
fcis-31256	54	5	chooses	choose	VERB
fcis-31256	54	6	mobilenetv3	mobilenetv3	PROPN
fcis-31256	54	7	-	-	PUNCT
fcis-31256	54	8	large	large	ADJ
fcis-31256	54	9	as	as	ADP
fcis-31256	54	10	the	the	DET
fcis-31256	54	11	core	core	NOUN
fcis-31256	54	12	architecture	architecture	NOUN
fcis-31256	54	13	because	because	SCONJ
fcis-31256	54	14	of	of	ADP
fcis-31256	54	15	its	its	PRON
fcis-31256	54	16	better	well	ADJ
fcis-31256	54	17	balance	balance	NOUN
fcis-31256	54	18	between	between	ADP
fcis-31256	54	19	computational	computational	ADJ
fcis-31256	54	20	efficiency	efficiency	NOUN
fcis-31256	54	21	and	and	CCONJ
fcis-31256	54	22	detection	detection	NOUN
fcis-31256	54	23	accuracy	accuracy	NOUN
fcis-31256	54	24	,	,	PUNCT
fcis-31256	54	25	as	as	SCONJ
fcis-31256	54	26	shown	show	VERB
fcis-31256	54	27	in	in	ADP
fcis-31256	54	28	fig	fig	NOUN
fcis-31256	54	29	.	.	PUNCT
fcis-31256	55	1	3	3	X
fcis-31256	55	2	.	.	X
fcis-31256	55	3	mobilenetv3	mobilenetv3	PROPN
fcis-31256	55	4	-	-	PUNCT
fcis-31256	55	5	large	large	ADJ
fcis-31256	55	6	,	,	PUNCT
fcis-31256	55	7	optimized	optimize	VERB
fcis-31256	55	8	through	through	ADP
fcis-31256	55	9	neural	neural	ADJ
fcis-31256	55	10	architecture	architecture	NOUN
fcis-31256	55	11	search	search	NOUN
fcis-31256	55	12	(	(	PUNCT
fcis-31256	55	13	nas	nas	PROPN
fcis-31256	55	14	)	)	PUNCT
fcis-31256	55	15	,	,	PUNCT
fcis-31256	55	16	features	feature	VERB
fcis-31256	55	17	hardware	hardware	NOUN
fcis-31256	55	18	-	-	PUNCT
fcis-31256	55	19	aware	aware	ADJ
fcis-31256	55	20	low	low	ADJ
fcis-31256	55	21	-	-	PUNCT
fcis-31256	55	22	latency	latency	NOUN
fcis-31256	55	23	design	design	NOUN
fcis-31256	55	24	.	.	PUNCT
fcis-31256	56	1	it	it	PRON
fcis-31256	56	2	uses	use	VERB
fcis-31256	56	3	a	a	DET
fcis-31256	56	4	dual	dual	ADJ
fcis-31256	56	5	enhancement	enhancement	NOUN
fcis-31256	56	6	strategy	strategy	NOUN
fcis-31256	56	7	:	:	PUNCT
fcis-31256	56	8	an	an	DET
fcis-31256	56	9	improved	improved	ADJ
fcis-31256	56	10	squeeze	squeeze	NOUN
fcis-31256	56	11	-	-	PUNCT
fcis-31256	56	12	and	and	CCONJ
fcis-31256	56	13	-	-	PUNCT
fcis-31256	56	14	excitation	excitation	NOUN
fcis-31256	56	15	(	(	PUNCT
fcis-31256	56	16	se	se	ADJ
fcis-31256	56	17	)	)	PUNCT
fcis-31256	56	18	module	module	NOUN
fcis-31256	56	19	and	and	CCONJ
fcis-31256	56	20	the	the	DET
fcis-31256	56	21	h	h	NOUN
fcis-31256	56	22	-	-	PUNCT
fcis-31256	56	23	swish	swish	ADJ
fcis-31256	56	24	activation	activation	NOUN
fcis-31256	56	25	function	function	NOUN
fcis-31256	56	26	.	.	PUNCT
fcis-31256	57	1	the	the	DET
fcis-31256	57	2	se	se	PROPN
fcis-31256	57	3	module	module	NOUN
fcis-31256	57	4	dynamically	dynamically	ADV
fcis-31256	57	5	adjusts	adjust	VERB
fcis-31256	57	6	channel	channel	NOUN
fcis-31256	57	7	weights	weight	NOUN
fcis-31256	57	8	to	to	PART
fcis-31256	57	9	emphasize	emphasize	VERB
fcis-31256	57	10	important	important	ADJ
fcis-31256	57	11	features	feature	NOUN
fcis-31256	57	12	,	,	PUNCT
fcis-31256	57	13	while	while	SCONJ
fcis-31256	57	14	the	the	DET
fcis-31256	57	15	h	h	NOUN
fcis-31256	57	16	-	-	PUNCT
fcis-31256	57	17	swish	swish	ADJ
fcis-31256	57	18	function	function	NOUN
fcis-31256	57	19	increases	increase	VERB
fcis-31256	57	20	nonlinear	nonlinear	ADJ
fcis-31256	57	21	ability	ability	NOUN
fcis-31256	57	22	without	without	ADP
fcis-31256	57	23	adding	add	VERB
fcis-31256	57	24	computational	computational	ADJ
fcis-31256	57	25	load	load	NOUN
fcis-31256	57	26	.	.	PUNCT
fcis-31256	58	1	these	these	DET
fcis-31256	58	2	90	90	NUM
fcis-31256	58	3	components	component	NOUN
fcis-31256	58	4	work	work	VERB
fcis-31256	58	5	together	together	ADV
fcis-31256	58	6	to	to	PART
fcis-31256	58	7	boost	boost	VERB
fcis-31256	58	8	the	the	DET
fcis-31256	58	9	model	model	NOUN
fcis-31256	58	10	's	's	PART
fcis-31256	58	11	sensitivity	sensitivity	NOUN
fcis-31256	58	12	to	to	AUX
fcis-31256	58	13	small	small	ADJ
fcis-31256	58	14	,	,	PUNCT
fcis-31256	58	15	detailed	detailed	ADJ
fcis-31256	58	16	features	feature	NOUN
fcis-31256	58	17	like	like	ADP
fcis-31256	58	18	those	those	PRON
fcis-31256	58	19	of	of	ADP
fcis-31256	58	20	fragrant	fragrant	ADJ
fcis-31256	58	21	pears	pear	NOUN
fcis-31256	58	22	.	.	PUNCT
fcis-31256	59	1	furthermore	furthermore	ADV
fcis-31256	59	2	,	,	PUNCT
fcis-31256	59	3	mobilenetv3	mobilenetv3	PROPN
fcis-31256	59	4	’s	’s	PART
fcis-31256	59	5	flexible	flexible	ADJ
fcis-31256	59	6	network	network	NOUN
fcis-31256	59	7	width	width	NOUN
fcis-31256	59	8	adjustment	adjustment	NOUN
fcis-31256	59	9	allocates	allocate	VERB
fcis-31256	59	10	computational	computational	ADJ
fcis-31256	59	11	resources	resource	NOUN
fcis-31256	59	12	based	base	VERB
fcis-31256	59	13	on	on	ADP
fcis-31256	59	14	how	how	SCONJ
fcis-31256	59	15	many	many	ADJ
fcis-31256	59	16	objects	object	NOUN
fcis-31256	59	17	are	be	AUX
fcis-31256	59	18	in	in	ADP
fcis-31256	59	19	the	the	DET
fcis-31256	59	20	image	image	NOUN
fcis-31256	59	21	,	,	PUNCT
fcis-31256	59	22	optimizing	optimize	VERB
fcis-31256	59	23	parameter	parameter	NOUN
fcis-31256	59	24	use	use	NOUN
fcis-31256	59	25	without	without	ADP
fcis-31256	59	26	losing	lose	VERB
fcis-31256	59	27	detection	detection	NOUN
fcis-31256	59	28	accuracy	accuracy	NOUN
fcis-31256	59	29	.	.	PUNCT
fcis-31256	60	1	this	this	DET
fcis-31256	60	2	adaptability	adaptability	NOUN
fcis-31256	60	3	is	be	AUX
fcis-31256	60	4	especially	especially	ADV
fcis-31256	60	5	useful	useful	ADJ
fcis-31256	60	6	for	for	ADP
fcis-31256	60	7	edge	edge	NOUN
fcis-31256	60	8	deployments	deployment	NOUN
fcis-31256	60	9	in	in	ADP
fcis-31256	60	10	agriculture	agriculture	NOUN
fcis-31256	60	11	,	,	PUNCT
fcis-31256	60	12	allowing	allow	VERB
fcis-31256	60	13	for	for	ADP
fcis-31256	60	14	real	real	ADJ
fcis-31256	60	15	-	-	PUNCT
fcis-31256	60	16	time	time	NOUN
fcis-31256	60	17	detection	detection	NOUN
fcis-31256	60	18	while	while	SCONJ
fcis-31256	60	19	maintaining	maintain	VERB
fcis-31256	60	20	low	low	ADJ
fcis-31256	60	21	power	power	NOUN
fcis-31256	60	22	use	use	NOUN
fcis-31256	60	23	and	and	CCONJ
fcis-31256	60	24	hardware	hardware	NOUN
fcis-31256	60	25	costs	cost	NOUN
fcis-31256	60	26	during	during	ADP
fcis-31256	60	27	long	long	ADJ
fcis-31256	60	28	-	-	PUNCT
fcis-31256	60	29	term	term	NOUN
fcis-31256	60	30	orchard	orchard	NOUN
fcis-31256	60	31	monitoring	monitoring	NOUN
fcis-31256	60	32	.	.	PUNCT
fcis-31256	61	1	overall	overall	ADV
fcis-31256	61	2	,	,	PUNCT
fcis-31256	61	3	these	these	DET
fcis-31256	61	4	features	feature	NOUN
fcis-31256	61	5	create	create	VERB
fcis-31256	61	6	a	a	DET
fcis-31256	61	7	good	good	ADJ
fcis-31256	61	8	balance	balance	NOUN
fcis-31256	61	9	between	between	ADP
fcis-31256	61	10	computational	computational	ADJ
fcis-31256	61	11	efficiency	efficiency	NOUN
fcis-31256	61	12	and	and	CCONJ
fcis-31256	61	13	detection	detection	NOUN
fcis-31256	61	14	accuracy	accuracy	NOUN
fcis-31256	61	15	,	,	PUNCT
fcis-31256	61	16	making	make	VERB
fcis-31256	61	17	it	it	PRON
fcis-31256	61	18	an	an	DET
fcis-31256	61	19	effective	effective	ADJ
fcis-31256	61	20	lightweight	lightweight	ADJ
fcis-31256	61	21	solution	solution	NOUN
fcis-31256	61	22	for	for	ADP
fcis-31256	61	23	fragrant	fragrant	ADJ
fcis-31256	61	24	pear	pear	NOUN
fcis-31256	61	25	datasets	dataset	NOUN
fcis-31256	61	26	.	.	PUNCT
fcis-31256	62	1	5	5	X
fcis-31256	62	2	.	.	X
fcis-31256	62	3	experiment	experiment	NOUN
fcis-31256	62	4	5.1	5.1	NUM
fcis-31256	62	5	.	.	PUNCT
fcis-31256	63	1	experimental	experimental	ADJ
fcis-31256	63	2	environment	environment	NOUN
fcis-31256	63	3	and	and	CCONJ
fcis-31256	63	4	datasets	dataset	NOUN
fcis-31256	63	5	preparation	preparation	NOUN
fcis-31256	63	6	all	all	DET
fcis-31256	63	7	models	model	NOUN
fcis-31256	63	8	in	in	ADP
fcis-31256	63	9	this	this	DET
fcis-31256	63	10	study	study	NOUN
fcis-31256	63	11	were	be	AUX
fcis-31256	63	12	trained	train	VERB
fcis-31256	63	13	using	use	VERB
fcis-31256	63	14	an	an	DET
fcis-31256	63	15	nvidia	nvidia	PROPN
fcis-31256	63	16	geforce	geforce	NOUN
fcis-31256	63	17	rtx	rtx	PROPN
fcis-31256	63	18	3060	3060	NUM
fcis-31256	63	19	gpu	gpu	PROPN
fcis-31256	63	20	,	,	PUNCT
fcis-31256	63	21	supported	support	VERB
fcis-31256	63	22	by	by	ADP
fcis-31256	63	23	cuda	cuda	PROPN
fcis-31256	63	24	11.7	11.7	NUM
fcis-31256	63	25	and	and	CCONJ
fcis-31256	63	26	pytorch	pytorch	NOUN
fcis-31256	63	27	1.13.1	1.13.1	NUM
fcis-31256	63	28	.	.	PUNCT
fcis-31256	64	1	the	the	DET
fcis-31256	64	2	batch	batch	NOUN
fcis-31256	64	3	size	size	NOUN
fcis-31256	64	4	was	be	AUX
fcis-31256	64	5	set	set	VERB
fcis-31256	64	6	to	to	ADP
fcis-31256	64	7	16	16	NUM
fcis-31256	64	8	,	,	PUNCT
fcis-31256	64	9	and	and	CCONJ
fcis-31256	64	10	training	training	NOUN
fcis-31256	64	11	was	be	AUX
fcis-31256	64	12	carried	carry	VERB
fcis-31256	64	13	out	out	ADP
fcis-31256	64	14	over	over	ADP
fcis-31256	64	15	300	300	NUM
fcis-31256	64	16	epochs	epoch	NOUN
fcis-31256	64	17	.	.	PUNCT
fcis-31256	65	1	for	for	ADP
fcis-31256	65	2	model	model	NOUN
fcis-31256	65	3	optimization	optimization	NOUN
fcis-31256	65	4	,	,	PUNCT
fcis-31256	65	5	we	we	PRON
fcis-31256	65	6	used	use	VERB
fcis-31256	65	7	the	the	DET
fcis-31256	65	8	adamw	adamw	NOUN
fcis-31256	65	9	optimizer	optimizer	NOUN
fcis-31256	65	10	with	with	ADP
fcis-31256	65	11	an	an	DET
fcis-31256	65	12	initial	initial	ADJ
fcis-31256	65	13	learning	learning	NOUN
fcis-31256	65	14	rate	rate	NOUN
fcis-31256	65	15	of	of	ADP
fcis-31256	65	16	0.001	0.001	NUM
fcis-31256	65	17	and	and	CCONJ
fcis-31256	65	18	a	a	DET
fcis-31256	65	19	weight	weight	NOUN
fcis-31256	65	20	decay	decay	NOUN
fcis-31256	65	21	of	of	ADP
fcis-31256	65	22	0.05	0.05	NUM
fcis-31256	65	23	to	to	PART
fcis-31256	65	24	effectively	effectively	ADV
fcis-31256	65	25	manage	manage	VERB
fcis-31256	65	26	model	model	NOUN
fcis-31256	65	27	complexity	complexity	NOUN
fcis-31256	65	28	.	.	PUNCT
fcis-31256	66	1	to	to	PART
fcis-31256	66	2	stabilize	stabilize	VERB
fcis-31256	66	3	training	training	NOUN
fcis-31256	66	4	during	during	ADP
fcis-31256	66	5	the	the	DET
fcis-31256	66	6	early	early	ADJ
fcis-31256	66	7	stages	stage	NOUN
fcis-31256	66	8	,	,	PUNCT
fcis-31256	66	9	a	a	DET
fcis-31256	66	10	linear	linear	ADJ
fcis-31256	66	11	warm	warm	ADJ
fcis-31256	66	12	-	-	PUNCT
fcis-31256	66	13	up	up	ADP
fcis-31256	66	14	strategy	strategy	NOUN
fcis-31256	66	15	was	be	AUX
fcis-31256	66	16	employed	employ	VERB
fcis-31256	66	17	,	,	PUNCT
fcis-31256	66	18	gradually	gradually	ADV
fcis-31256	66	19	increasing	increase	VERB
fcis-31256	66	20	the	the	DET
fcis-31256	66	21	learning	learning	NOUN
fcis-31256	66	22	rate	rate	NOUN
fcis-31256	66	23	from	from	ADP
fcis-31256	66	24	0.0001	0.0001	NUM
fcis-31256	66	25	to	to	ADP
fcis-31256	66	26	the	the	DET
fcis-31256	66	27	target	target	NOUN
fcis-31256	66	28	rate	rate	NOUN
fcis-31256	66	29	over	over	ADP
fcis-31256	66	30	the	the	DET
fcis-31256	66	31	first	first	ADJ
fcis-31256	66	32	500	500	NUM
fcis-31256	66	33	iterations	iteration	NOUN
fcis-31256	66	34	.	.	PUNCT
fcis-31256	67	1	the	the	DET
fcis-31256	67	2	datasets	dataset	NOUN
fcis-31256	67	3	used	use	VERB
fcis-31256	67	4	for	for	ADP
fcis-31256	67	5	systematic	systematic	ADJ
fcis-31256	67	6	evaluation	evaluation	NOUN
fcis-31256	67	7	were	be	AUX
fcis-31256	67	8	divided	divide	VERB
fcis-31256	67	9	into	into	ADP
fcis-31256	67	10	training	training	NOUN
fcis-31256	67	11	,	,	PUNCT
fcis-31256	67	12	validation	validation	NOUN
fcis-31256	67	13	,	,	PUNCT
fcis-31256	67	14	and	and	CCONJ
fcis-31256	67	15	test	test	NOUN
fcis-31256	67	16	sets	set	NOUN
fcis-31256	67	17	at	at	ADP
fcis-31256	67	18	a	a	DET
fcis-31256	67	19	ratio	ratio	NOUN
fcis-31256	67	20	of	of	ADP
fcis-31256	67	21	6:2:2	6:2:2	NUM
fcis-31256	67	22	.	.	PUNCT
fcis-31256	68	1	5.2	5.2	NUM
fcis-31256	68	2	.	.	PUNCT
fcis-31256	68	3	model	model	NOUN
fcis-31256	68	4	training	training	NOUN
fcis-31256	68	5	and	and	CCONJ
fcis-31256	68	6	performance	performance	NOUN
fcis-31256	68	7	evaluation	evaluation	NOUN
fcis-31256	68	8	model	model	NOUN
fcis-31256	68	9	evaluation	evaluation	NOUN
fcis-31256	68	10	was	be	AUX
fcis-31256	68	11	performed	perform	VERB
fcis-31256	68	12	every	every	DET
fcis-31256	68	13	10	10	NUM
fcis-31256	68	14	epochs	epoch	NOUN
fcis-31256	68	15	using	use	VERB
fcis-31256	68	16	two	two	NUM
fcis-31256	68	17	key	key	ADJ
fcis-31256	68	18	metrics	metric	NOUN
fcis-31256	68	19	:	:	PUNCT
fcis-31256	68	20	mean	mean	VERB
fcis-31256	68	21	average	average	ADJ
fcis-31256	68	22	precision	precision	NOUN
fcis-31256	68	23	at	at	ADP
fcis-31256	68	24	an	an	DET
fcis-31256	68	25	intersection	intersection	NOUN
fcis-31256	68	26	over	over	ADP
fcis-31256	68	27	union	union	NOUN
fcis-31256	68	28	(	(	PUNCT
fcis-31256	68	29	iou	iou	NOUN
fcis-31256	68	30	)	)	PUNCT
fcis-31256	68	31	threshold	threshold	NOUN
fcis-31256	68	32	of	of	ADP
fcis-31256	68	33	0.5	0.5	NUM
fcis-31256	68	34	(	(	PUNCT
fcis-31256	68	35	map@0.5	map@0.5	NOUN
fcis-31256	68	36	)	)	PUNCT
fcis-31256	68	37	,	,	PUNCT
fcis-31256	68	38	and	and	CCONJ
fcis-31256	68	39	the	the	DET
fcis-31256	68	40	stricter	strict	ADJ
fcis-31256	68	41	metric	metric	ADJ
fcis-31256	68	42	map@0.5:0.95	map@0.5:0.95	PROPN
fcis-31256	68	43	,	,	PUNCT
fcis-31256	68	44	calculated	calculate	VERB
fcis-31256	68	45	across	across	ADP
fcis-31256	68	46	multiple	multiple	ADJ
fcis-31256	68	47	iou	iou	NOUN
fcis-31256	68	48	thresholds	threshold	NOUN
fcis-31256	68	49	(	(	PUNCT
fcis-31256	68	50	ranging	range	VERB
fcis-31256	68	51	from	from	ADP
fcis-31256	68	52	0.5	0.5	NUM
fcis-31256	68	53	to	to	PART
fcis-31256	68	54	0.95	0.95	NUM
fcis-31256	68	55	in	in	ADP
fcis-31256	68	56	increments	increment	NOUN
fcis-31256	68	57	of	of	ADP
fcis-31256	68	58	0.05	0.05	NUM
fcis-31256	68	59	)	)	PUNCT
fcis-31256	68	60	.	.	PUNCT
fcis-31256	69	1	as	as	SCONJ
fcis-31256	69	2	shown	show	VERB
fcis-31256	69	3	in	in	ADP
fcis-31256	69	4	fig	fig	NOUN
fcis-31256	69	5	.	.	PUNCT
fcis-31256	70	1	4	4	NUM
fcis-31256	70	2	,	,	PUNCT
fcis-31256	70	3	both	both	DET
fcis-31256	70	4	metrics	metric	NOUN
fcis-31256	70	5	indicated	indicate	VERB
fcis-31256	70	6	steady	steady	ADJ
fcis-31256	70	7	convergence	convergence	NOUN
fcis-31256	70	8	of	of	ADP
fcis-31256	70	9	the	the	DET
fcis-31256	70	10	model	model	NOUN
fcis-31256	70	11	after	after	ADP
fcis-31256	70	12	approximately	approximately	ADV
fcis-31256	70	13	100	100	NUM
fcis-31256	70	14	epochs	epoch	NOUN
fcis-31256	70	15	.	.	PUNCT
fcis-31256	71	1	specifically	specifically	ADV
fcis-31256	71	2	,	,	PUNCT
fcis-31256	71	3	map@0.5	map@0.5	PROPN
fcis-31256	71	4	assesses	assesse	NOUN
fcis-31256	71	5	average	average	ADJ
fcis-31256	71	6	precision	precision	NOUN
fcis-31256	71	7	based	base	VERB
fcis-31256	71	8	on	on	ADP
fcis-31256	71	9	predictions	prediction	NOUN
fcis-31256	71	10	overlapping	overlap	VERB
fcis-31256	71	11	at	at	ADP
fcis-31256	71	12	least	least	ADV
fcis-31256	71	13	50	50	NUM
fcis-31256	71	14	%	%	NOUN
fcis-31256	71	15	with	with	ADP
fcis-31256	71	16	ground	ground	NOUN
fcis-31256	71	17	-	-	PUNCT
fcis-31256	71	18	truth	truth	NOUN
fcis-31256	71	19	bounding	bounding	NOUN
fcis-31256	71	20	boxes	box	NOUN
fcis-31256	71	21	,	,	PUNCT
fcis-31256	71	22	providing	provide	VERB
fcis-31256	71	23	a	a	DET
fcis-31256	71	24	baseline	baseline	NOUN
fcis-31256	71	25	for	for	ADP
fcis-31256	71	26	model	model	NOUN
fcis-31256	71	27	accuracy	accuracy	NOUN
fcis-31256	71	28	.	.	PUNCT
fcis-31256	72	1	in	in	ADP
fcis-31256	72	2	contrast	contrast	NOUN
fcis-31256	72	3	,	,	PUNCT
fcis-31256	72	4	map@0.5:0.95	map@0.5:0.95	NOUN
fcis-31256	72	5	offers	offer	VERB
fcis-31256	72	6	a	a	DET
fcis-31256	72	7	comprehensive	comprehensive	ADJ
fcis-31256	72	8	evaluation	evaluation	NOUN
fcis-31256	72	9	across	across	ADP
fcis-31256	72	10	varying	vary	VERB
fcis-31256	72	11	overlap	overlap	NOUN
fcis-31256	72	12	thresholds	threshold	NOUN
fcis-31256	72	13	,	,	PUNCT
fcis-31256	72	14	more	more	ADV
fcis-31256	72	15	effectively	effectively	ADV
fcis-31256	72	16	reflecting	reflect	VERB
fcis-31256	72	17	model	model	NOUN
fcis-31256	72	18	performance	performance	NOUN
fcis-31256	72	19	in	in	ADP
fcis-31256	72	20	demanding	demand	VERB
fcis-31256	72	21	real	real	ADJ
fcis-31256	72	22	-	-	PUNCT
fcis-31256	72	23	world	world	NOUN
fcis-31256	72	24	detection	detection	NOUN
fcis-31256	72	25	scenarios	scenario	NOUN
fcis-31256	72	26	.	.	PUNCT
fcis-31256	73	1	(	(	PUNCT
fcis-31256	73	2	a	a	X
fcis-31256	73	3	)	)	PUNCT
fcis-31256	73	4	map@0.5	map@0.5	PROPN
fcis-31256	73	5	(	(	PUNCT
fcis-31256	73	6	b	b	NOUN
fcis-31256	73	7	)	)	PUNCT
fcis-31256	73	8	map@0.5:0.95	map@0.5:0.95	NOUN
fcis-31256	73	9	fig	fig	NOUN
fcis-31256	73	10	4	4	NUM
fcis-31256	73	11	.	.	PUNCT
fcis-31256	74	1	changes	change	NOUN
fcis-31256	74	2	in	in	ADP
fcis-31256	74	3	map	map	NOUN
fcis-31256	74	4	of	of	ADP
fcis-31256	74	5	the	the	DET
fcis-31256	74	6	proposed	propose	VERB
fcis-31256	74	7	model	model	NOUN
fcis-31256	74	8	over	over	ADP
fcis-31256	74	9	training	training	NOUN
fcis-31256	74	10	iterations	iteration	NOUN
fcis-31256	74	11	table	table	NOUN
fcis-31256	74	12	1	1	NUM
fcis-31256	74	13	.	.	X
fcis-31256	74	14	map	map	VERB
fcis-31256	74	15	comparison	comparison	NOUN
fcis-31256	74	16	of	of	ADP
fcis-31256	74	17	various	various	ADJ
fcis-31256	74	18	models	model	NOUN
fcis-31256	74	19	model	model	VERB
fcis-31256	74	20	map/%	map/%	PROPN
fcis-31256	74	21	map@0.5	map@0.5	PROPN
fcis-31256	74	22	map@.5:.95	map@.5:.95	NOUN
fcis-31256	74	23	nanodet	nanodet	NOUN
fcis-31256	74	24	-	-	PUNCT
fcis-31256	74	25	plus	plus	CCONJ
fcis-31256	74	26	-	-	PUNCT
fcis-31256	74	27	m-1.5x	m-1.5x	NOUN
fcis-31256	74	28	97.6	97.6	NUM
fcis-31256	74	29	84.6	84.6	NUM
fcis-31256	74	30	yolo	yolo	ADJ
fcis-31256	74	31	v5s	v5s	PROPN
fcis-31256	74	32	96.3	96.3	NUM
fcis-31256	74	33	84.6	84.6	NUM
fcis-31256	74	34	yolo	yolo	ADJ
fcis-31256	74	35	v5n	v5n	CCONJ
fcis-31256	74	36	96.3	96.3	NUM
fcis-31256	74	37	83.3	83.3	NUM
fcis-31256	74	38	our	our	PRON
fcis-31256	74	39	model	model	NOUN
fcis-31256	74	40	97.9	97.9	NUM
fcis-31256	74	41	85.1	85.1	NUM
fcis-31256	74	42	for	for	ADP
fcis-31256	74	43	comparison	comparison	NOUN
fcis-31256	74	44	,	,	PUNCT
fcis-31256	74	45	we	we	PRON
fcis-31256	74	46	selected	select	VERB
fcis-31256	74	47	the	the	DET
fcis-31256	74	48	largest	large	ADJ
fcis-31256	74	49	variant	variant	NOUN
fcis-31256	74	50	of	of	ADP
fcis-31256	74	51	nanodet	nanodet	NOUN
fcis-31256	74	52	-	-	PUNCT
fcis-31256	74	53	plus	plus	CCONJ
fcis-31256	74	54	(	(	PUNCT
fcis-31256	74	55	nanodet	nanodet	NOUN
fcis-31256	74	56	-	-	PUNCT
fcis-31256	74	57	plus	plus	CCONJ
fcis-31256	74	58	-	-	PUNCT
fcis-31256	74	59	m-1.5x	m-1.5x	NOUN
fcis-31256	74	60	)	)	PUNCT
fcis-31256	74	61	and	and	CCONJ
fcis-31256	74	62	two	two	NUM
fcis-31256	74	63	lightweight	lightweight	ADJ
fcis-31256	74	64	yolo	yolo	ADJ
fcis-31256	74	65	v5	v5	PROPN
fcis-31256	74	66	series	series	NOUN
fcis-31256	74	67	models	model	NOUN
fcis-31256	74	68	(	(	PUNCT
fcis-31256	74	69	yolo	yolo	ADJ
fcis-31256	74	70	v5s	v5s	PROPN
fcis-31256	74	71	and	and	CCONJ
fcis-31256	74	72	yolo	yolo	PROPN
fcis-31256	74	73	v5n	v5n	PROPN
fcis-31256	74	74	)	)	PUNCT
fcis-31256	74	75	as	as	ADP
fcis-31256	74	76	benchmarks	benchmark	NOUN
fcis-31256	74	77	.	.	PUNCT
fcis-31256	75	1	experimental	experimental	ADJ
fcis-31256	75	2	results	result	NOUN
fcis-31256	75	3	(	(	PUNCT
fcis-31256	75	4	table	table	NOUN
fcis-31256	75	5	1	1	NUM
fcis-31256	75	6	)	)	PUNCT
fcis-31256	75	7	show	show	VERB
fcis-31256	75	8	that	that	SCONJ
fcis-31256	75	9	our	our	PRON
fcis-31256	75	10	proposed	propose	VERB
fcis-31256	75	11	model	model	NOUN
fcis-31256	75	12	achieved	achieve	VERB
fcis-31256	75	13	a	a	DET
fcis-31256	75	14	map@0.5	map@0.5	NOUN
fcis-31256	75	15	score	score	NOUN
fcis-31256	75	16	of	of	ADP
fcis-31256	75	17	97.9	97.9	NUM
fcis-31256	75	18	%	%	NOUN
fcis-31256	75	19	,	,	PUNCT
fcis-31256	75	20	an	an	DET
fcis-31256	75	21	improvement	improvement	NOUN
fcis-31256	75	22	of	of	ADP
fcis-31256	75	23	0.3	0.3	NUM
fcis-31256	75	24	percentage	percentage	NOUN
fcis-31256	75	25	points	point	NOUN
fcis-31256	75	26	over	over	ADP
fcis-31256	75	27	nanodet	nanodet	NOUN
fcis-31256	75	28	-	-	PUNCT
fcis-31256	75	29	plus	plus	NOUN
fcis-31256	75	30	,	,	PUNCT
fcis-31256	75	31	and	and	CCONJ
fcis-31256	75	32	a	a	DET
fcis-31256	75	33	map@0.5:0.95	map@0.5:0.95	NOUN
fcis-31256	75	34	score	score	NOUN
fcis-31256	75	35	of	of	ADP
fcis-31256	75	36	85.1	85.1	NUM
fcis-31256	75	37	%	%	NOUN
fcis-31256	75	38	,	,	PUNCT
fcis-31256	75	39	increasing	increase	VERB
fcis-31256	75	40	by	by	ADP
fcis-31256	75	41	0.5	0.5	NUM
fcis-31256	75	42	percentage	percentage	NOUN
fcis-31256	75	43	points	point	NOUN
fcis-31256	75	44	.	.	PUNCT
fcis-31256	76	1	this	this	DET
fcis-31256	76	2	performance	performance	NOUN
fcis-31256	76	3	improvement	improvement	NOUN
fcis-31256	76	4	mainly	mainly	ADV
fcis-31256	76	5	comes	come	VERB
fcis-31256	76	6	from	from	ADP
fcis-31256	76	7	replacing	replace	VERB
fcis-31256	76	8	shufflenetv2	shufflenetv2	NOUN
fcis-31256	76	9	with	with	ADP
fcis-31256	76	10	mobilenetv3large	mobilenetv3large	NOUN
fcis-31256	76	11	,	,	PUNCT
fcis-31256	76	12	equipped	equip	VERB
fcis-31256	76	13	with	with	ADP
fcis-31256	76	14	se	se	X
fcis-31256	76	15	attention	attention	NOUN
fcis-31256	76	16	modules	module	NOUN
fcis-31256	76	17	,	,	PUNCT
fcis-31256	76	18	which	which	PRON
fcis-31256	76	19	significantly	significantly	ADV
fcis-31256	76	20	boosts	boost	VERB
fcis-31256	76	21	detection	detection	NOUN
fcis-31256	76	22	accuracy	accuracy	NOUN
fcis-31256	76	23	for	for	ADP
fcis-31256	76	24	small	small	ADJ
fcis-31256	76	25	,	,	PUNCT
fcis-31256	76	26	detailed	detailed	ADJ
fcis-31256	76	27	targets	target	NOUN
fcis-31256	76	28	without	without	ADP
fcis-31256	76	29	sacrificing	sacrifice	VERB
fcis-31256	76	30	real	real	ADJ
fcis-31256	76	31	-	-	PUNCT
fcis-31256	76	32	time	time	NOUN
fcis-31256	76	33	inference	inference	NOUN
fcis-31256	76	34	speed	speed	NOUN
fcis-31256	76	35	.	.	PUNCT
fcis-31256	77	1	despite	despite	SCONJ
fcis-31256	77	2	dataset	dataset	NOUN
fcis-31256	77	3	limitations	limitation	NOUN
fcis-31256	77	4	in	in	ADP
fcis-31256	77	5	scale	scale	NOUN
fcis-31256	77	6	and	and	CCONJ
fcis-31256	77	7	target	target	NOUN
fcis-31256	77	8	diversity	diversity	NOUN
fcis-31256	77	9	,	,	PUNCT
fcis-31256	77	10	the	the	DET
fcis-31256	77	11	proposed	propose	VERB
fcis-31256	77	12	method	method	NOUN
fcis-31256	77	13	consistently	consistently	ADV
fcis-31256	77	14	outperformed	outperform	VERB
fcis-31256	77	15	yolo	yolo	ADJ
fcis-31256	77	16	v5	v5	PROPN
fcis-31256	77	17	models	model	NOUN
fcis-31256	77	18	,	,	PUNCT
fcis-31256	77	19	confirming	confirm	VERB
fcis-31256	77	20	that	that	SCONJ
fcis-31256	77	21	optimized	optimize	VERB
fcis-31256	77	22	lightweight	lightweight	NOUN
fcis-31256	77	23	backbones	backbone	NOUN
fcis-31256	77	24	greatly	greatly	ADV
fcis-31256	77	25	enhance	enhance	VERB
fcis-31256	77	26	robustness	robustness	NOUN
fcis-31256	77	27	in	in	ADP
fcis-31256	77	28	difficult	difficult	ADJ
fcis-31256	77	29	detection	detection	NOUN
fcis-31256	77	30	environments	environment	NOUN
fcis-31256	77	31	.	.	PUNCT
fcis-31256	78	1	5.3	5.3	NUM
fcis-31256	78	2	.	.	PUNCT
fcis-31256	78	3	model	model	NOUN
fcis-31256	78	4	compression	compression	NOUN
fcis-31256	78	5	and	and	CCONJ
fcis-31256	78	6	deployment	deployment	NOUN
fcis-31256	78	7	testing	testing	NOUN
fcis-31256	78	8	the	the	DET
fcis-31256	78	9	best	well	ADV
fcis-31256	78	10	-	-	PUNCT
fcis-31256	78	11	performing	perform	VERB
fcis-31256	78	12	trained	train	VERB
fcis-31256	78	13	model	model	NOUN
fcis-31256	78	14	was	be	AUX
fcis-31256	78	15	exported	export	VERB
fcis-31256	78	16	into	into	ADP
fcis-31256	78	17	the	the	DET
fcis-31256	78	18	onnx	onnx	NOUN
fcis-31256	78	19	intermediate	intermediate	ADJ
fcis-31256	78	20	format	format	NOUN
fcis-31256	78	21	,	,	PUNCT
fcis-31256	78	22	a	a	DET
fcis-31256	78	23	standard	standard	NOUN
fcis-31256	78	24	for	for	ADP
fcis-31256	78	25	cross	cross	ADJ
fcis-31256	78	26	-	-	ADJ
fcis-31256	78	27	platform	platform	ADJ
fcis-31256	78	28	model	model	NOUN
fcis-31256	78	29	interchange	interchange	NOUN
fcis-31256	78	30	,	,	PUNCT
fcis-31256	78	31	ensuring	ensure	VERB
fcis-31256	78	32	seamless	seamless	ADJ
fcis-31256	78	33	transition	transition	NOUN
fcis-31256	78	34	across	across	ADP
fcis-31256	78	35	frameworks	framework	NOUN
fcis-31256	78	36	such	such	ADJ
fcis-31256	78	37	as	as	ADP
fcis-31256	78	38	pytorch	pytorch	NOUN
fcis-31256	78	39	and	and	CCONJ
fcis-31256	78	40	ncnn	ncnn	PROPN
fcis-31256	78	41	.	.	PUNCT
fcis-31256	79	1	subsequently	subsequently	ADV
fcis-31256	79	2	,	,	PUNCT
fcis-31256	79	3	the	the	DET
fcis-31256	79	4	onnx	onnx	NOUN
fcis-31256	79	5	model	model	NOUN
fcis-31256	79	6	was	be	AUX
fcis-31256	79	7	compiled	compile	VERB
fcis-31256	79	8	into	into	ADP
fcis-31256	79	9	ncnn	ncnn	NOUN
fcis-31256	79	10	-	-	PUNCT
fcis-31256	79	11	specific	specific	ADJ
fcis-31256	79	12	formats	format	NOUN
fcis-31256	79	13	(	(	PUNCT
fcis-31256	79	14	param	param	NOUN
fcis-31256	79	15	for	for	ADP
fcis-31256	79	16	network	network	NOUN
fcis-31256	79	17	architecture	architecture	NOUN
fcis-31256	79	18	and	and	CCONJ
fcis-31256	79	19	.bin	.bin	NOUN
fcis-31256	79	20	for	for	ADP
fcis-31256	79	21	weights	weight	NOUN
fcis-31256	79	22	)	)	PUNCT
fcis-31256	79	23	to	to	PART
fcis-31256	79	24	meet	meet	VERB
fcis-31256	79	25	lightweight	lightweight	ADJ
fcis-31256	79	26	inference	inference	NOUN
fcis-31256	79	27	needs	need	NOUN
fcis-31256	79	28	on	on	ADP
fcis-31256	79	29	mobile	mobile	ADJ
fcis-31256	79	30	and	and	CCONJ
fcis-31256	79	31	embedded	embed	VERB
fcis-31256	79	32	devices	device	NOUN
fcis-31256	79	33	.	.	PUNCT
fcis-31256	80	1	model	model	NOUN
fcis-31256	80	2	compression	compression	NOUN
fcis-31256	80	3	effectively	effectively	ADV
fcis-31256	80	4	reduced	reduce	VERB
fcis-31256	80	5	the	the	DET
fcis-31256	80	6	model	model	NOUN
fcis-31256	80	7	size	size	NOUN
fcis-31256	80	8	from	from	ADP
fcis-31256	80	9	118	118	NUM
fcis-31256	80	10	mb	mb	NOUN
fcis-31256	80	11	to	to	ADP
fcis-31256	80	12	just	just	ADV
fcis-31256	80	13	6.79	6.79	NUM
fcis-31256	80	14	mb	mb	NOUN
fcis-31256	80	15	(	(	PUNCT
fcis-31256	80	16	about	about	ADV
fcis-31256	80	17	5.8	5.8	NUM
fcis-31256	80	18	%	%	NOUN
fcis-31256	80	19	of	of	ADP
fcis-31256	80	20	its	its	PRON
fcis-31256	80	21	original	original	ADJ
fcis-31256	80	22	size	size	NOUN
fcis-31256	80	23	)	)	PUNCT
fcis-31256	80	24	.	.	PUNCT
fcis-31256	81	1	further	further	ADJ
fcis-31256	81	2	optimizations	optimization	NOUN
fcis-31256	81	3	,	,	PUNCT
fcis-31256	81	4	including	include	VERB
fcis-31256	81	5	operator	operator	NOUN
fcis-31256	81	6	fusion	fusion	NOUN
fcis-31256	81	7	and	and	CCONJ
fcis-31256	81	8	graph	graph	NOUN
fcis-31256	81	9	simplifications	simplification	NOUN
fcis-31256	81	10	,	,	PUNCT
fcis-31256	81	11	were	be	AUX
fcis-31256	81	12	applied	apply	VERB
fcis-31256	81	13	to	to	PART
fcis-31256	81	14	improve	improve	VERB
fcis-31256	81	15	inference	inference	NOUN
fcis-31256	81	16	efficiency	efficiency	NOUN
fcis-31256	81	17	.	.	PUNCT
fcis-31256	82	1	the	the	DET
fcis-31256	82	2	compressed	compressed	ADJ
fcis-31256	82	3	model	model	NOUN
fcis-31256	82	4	was	be	AUX
fcis-31256	82	5	successfully	successfully	ADV
fcis-31256	82	6	integrated	integrate	VERB
fcis-31256	82	7	into	into	ADP
fcis-31256	82	8	an	an	DET
fcis-31256	82	9	application	application	NOUN
fcis-31256	82	10	supporting	support	VERB
fcis-31256	82	11	multi	multi	ADJ
fcis-31256	82	12	-	-	ADJ
fcis-31256	82	13	source	source	NOUN
fcis-31256	82	14	data	data	NOUN
fcis-31256	82	15	inputs	input	NOUN
fcis-31256	82	16	(	(	PUNCT
fcis-31256	82	17	images	image	NOUN
fcis-31256	82	18	,	,	PUNCT
fcis-31256	82	19	91	91	NUM
fcis-31256	82	20	videos	video	NOUN
fcis-31256	82	21	,	,	PUNCT
fcis-31256	82	22	and	and	CCONJ
fcis-31256	82	23	live	live	ADJ
fcis-31256	82	24	camera	camera	NOUN
fcis-31256	82	25	feeds	feed	NOUN
fcis-31256	82	26	)	)	PUNCT
fcis-31256	82	27	.	.	PUNCT
fcis-31256	83	1	as	as	SCONJ
fcis-31256	83	2	shown	show	VERB
fcis-31256	83	3	in	in	ADP
fcis-31256	83	4	fig	fig	NOUN
fcis-31256	83	5	.	.	PUNCT
fcis-31256	84	1	5	5	NUM
fcis-31256	84	2	,	,	PUNCT
fcis-31256	84	3	stable	stable	ADJ
fcis-31256	84	4	and	and	CCONJ
fcis-31256	84	5	efficient	efficient	ADJ
fcis-31256	84	6	real	real	ADJ
fcis-31256	84	7	-	-	PUNCT
fcis-31256	84	8	time	time	NOUN
fcis-31256	84	9	inference	inference	NOUN
fcis-31256	84	10	performance	performance	NOUN
fcis-31256	84	11	was	be	AUX
fcis-31256	84	12	achieved	achieve	VERB
fcis-31256	84	13	on	on	ADP
fcis-31256	84	14	resource	resource	NOUN
fcis-31256	84	15	-	-	PUNCT
fcis-31256	84	16	constrained	constrain	VERB
fcis-31256	84	17	hardware	hardware	NOUN
fcis-31256	84	18	,	,	PUNCT
fcis-31256	84	19	such	such	ADJ
fcis-31256	84	20	as	as	ADP
fcis-31256	84	21	the	the	DET
fcis-31256	84	22	snapdragon	snapdragon	NOUN
fcis-31256	84	23	625	625	NUM
fcis-31256	84	24	processor	processor	NOUN
fcis-31256	84	25	.	.	PUNCT
fcis-31256	85	1	this	this	DET
fcis-31256	85	2	practical	practical	ADJ
fcis-31256	85	3	deployment	deployment	NOUN
fcis-31256	85	4	confirms	confirm	VERB
fcis-31256	85	5	the	the	DET
fcis-31256	85	6	suitability	suitability	NOUN
fcis-31256	85	7	and	and	CCONJ
fcis-31256	85	8	robustness	robustness	NOUN
fcis-31256	85	9	of	of	ADP
fcis-31256	85	10	nanodet	nanodet	NOUN
fcis-31256	85	11	-	-	PUNCT
fcis-31256	85	12	plus	plus	CCONJ
fcis-31256	85	13	-	-	PUNCT
fcis-31256	85	14	based	base	VERB
fcis-31256	85	15	solutions	solution	NOUN
fcis-31256	85	16	in	in	ADP
fcis-31256	85	17	limitedresource	limitedresource	NOUN
fcis-31256	85	18	scenarios	scenario	NOUN
fcis-31256	85	19	,	,	PUNCT
fcis-31256	85	20	laying	lay	VERB
fcis-31256	85	21	a	a	DET
fcis-31256	85	22	strong	strong	ADJ
fcis-31256	85	23	technical	technical	ADJ
fcis-31256	85	24	foundation	foundation	NOUN
fcis-31256	85	25	for	for	ADP
fcis-31256	85	26	future	future	ADJ
fcis-31256	85	27	deployment	deployment	NOUN
fcis-31256	85	28	on	on	ADP
fcis-31256	85	29	various	various	ADJ
fcis-31256	85	30	low	low	ADJ
fcis-31256	85	31	-	-	PUNCT
fcis-31256	85	32	power	power	NOUN
fcis-31256	85	33	embedded	embed	VERB
fcis-31256	85	34	platforms	platform	NOUN
fcis-31256	85	35	,	,	PUNCT
fcis-31256	85	36	including	include	VERB
fcis-31256	85	37	jetson	jetson	PROPN
fcis-31256	85	38	nano	nano	PROPN
fcis-31256	85	39	and	and	CCONJ
fcis-31256	85	40	raspberry	raspberry	PROPN
fcis-31256	85	41	pi	pi	NOUN
fcis-31256	85	42	.	.	PUNCT
fcis-31256	86	1	fig	fig	PROPN
fcis-31256	86	2	5	5	NUM
fcis-31256	86	3	.	.	PUNCT
fcis-31256	86	4	interface	interface	NOUN
fcis-31256	86	5	of	of	ADP
fcis-31256	86	6	the	the	DET
fcis-31256	86	7	fragrant	fragrant	ADJ
fcis-31256	86	8	pear	pear	NOUN
fcis-31256	86	9	detection	detection	NOUN
fcis-31256	86	10	app	app	NOUN
fcis-31256	86	11	6	6	NUM
fcis-31256	86	12	.	.	PUNCT
fcis-31256	87	1	conclusion	conclusion	NOUN
fcis-31256	87	2	advancing	advance	VERB
fcis-31256	87	3	automated	automate	VERB
fcis-31256	87	4	fruit	fruit	NOUN
fcis-31256	87	5	harvesting	harvesting	NOUN
fcis-31256	87	6	technology	technology	NOUN
fcis-31256	87	7	is	be	AUX
fcis-31256	87	8	crucial	crucial	ADJ
fcis-31256	87	9	for	for	ADP
fcis-31256	87	10	modernizing	modernize	VERB
fcis-31256	87	11	and	and	CCONJ
fcis-31256	87	12	making	make	VERB
fcis-31256	87	13	agriculture	agriculture	NOUN
fcis-31256	87	14	smarter	smart	ADJ
fcis-31256	87	15	.	.	PUNCT
fcis-31256	88	1	as	as	ADP
fcis-31256	88	2	a	a	DET
fcis-31256	88	3	unique	unique	ADJ
fcis-31256	88	4	agricultural	agricultural	ADJ
fcis-31256	88	5	product	product	NOUN
fcis-31256	88	6	from	from	ADP
fcis-31256	88	7	xinjiang	xinjiang	PROPN
fcis-31256	88	8	,	,	PUNCT
fcis-31256	88	9	the	the	DET
fcis-31256	88	10	accurate	accurate	ADJ
fcis-31256	88	11	automatic	automatic	ADJ
fcis-31256	88	12	identification	identification	NOUN
fcis-31256	88	13	of	of	ADP
fcis-31256	88	14	korla	korla	PROPN
fcis-31256	88	15	fragrant	fragrant	ADJ
fcis-31256	88	16	pears	pear	NOUN
fcis-31256	88	17	has	have	VERB
fcis-31256	88	18	important	important	ADJ
fcis-31256	88	19	implications	implication	NOUN
fcis-31256	88	20	for	for	ADP
fcis-31256	88	21	local	local	ADJ
fcis-31256	88	22	agricultural	agricultural	ADJ
fcis-31256	88	23	industrial	industrial	ADJ
fcis-31256	88	24	upgrades	upgrade	NOUN
fcis-31256	88	25	.	.	PUNCT
fcis-31256	89	1	to	to	PART
fcis-31256	89	2	overcome	overcome	VERB
fcis-31256	89	3	the	the	DET
fcis-31256	89	4	limitations	limitation	NOUN
fcis-31256	89	5	of	of	ADP
fcis-31256	89	6	traditional	traditional	ADJ
fcis-31256	89	7	recognition	recognition	NOUN
fcis-31256	89	8	methods	method	NOUN
fcis-31256	89	9	,	,	PUNCT
fcis-31256	89	10	which	which	PRON
fcis-31256	89	11	struggle	struggle	VERB
fcis-31256	89	12	in	in	ADP
fcis-31256	89	13	complex	complex	ADJ
fcis-31256	89	14	orchard	orchard	ADJ
fcis-31256	89	15	environments	environment	NOUN
fcis-31256	89	16	due	due	ADP
fcis-31256	89	17	to	to	ADP
fcis-31256	89	18	low	low	ADJ
fcis-31256	89	19	accuracy	accuracy	NOUN
fcis-31256	89	20	and	and	CCONJ
fcis-31256	89	21	limited	limited	ADJ
fcis-31256	89	22	adaptability	adaptability	NOUN
fcis-31256	89	23	,	,	PUNCT
fcis-31256	89	24	this	this	DET
fcis-31256	89	25	research	research	NOUN
fcis-31256	89	26	introduces	introduce	VERB
fcis-31256	89	27	an	an	DET
fcis-31256	89	28	improved	improved	ADJ
fcis-31256	89	29	lightweight	lightweight	ADJ
fcis-31256	89	30	detection	detection	NOUN
fcis-31256	89	31	algorithm	algorithm	NOUN
fcis-31256	89	32	based	base	VERB
fcis-31256	89	33	on	on	ADP
fcis-31256	89	34	nanodetplus	nanodetplus	ADJ
fcis-31256	89	35	.	.	PUNCT
fcis-31256	90	1	by	by	ADP
fcis-31256	90	2	combining	combine	VERB
fcis-31256	90	3	mobilenetv3	mobilenetv3	PROPN
fcis-31256	90	4	as	as	ADP
fcis-31256	90	5	the	the	DET
fcis-31256	90	6	backbone	backbone	NOUN
fcis-31256	90	7	network	network	NOUN
fcis-31256	90	8	and	and	CCONJ
fcis-31256	90	9	applying	apply	VERB
fcis-31256	90	10	advanced	advanced	ADJ
fcis-31256	90	11	model	model	NOUN
fcis-31256	90	12	compression	compression	NOUN
fcis-31256	90	13	strategies	strategy	NOUN
fcis-31256	90	14	,	,	PUNCT
fcis-31256	90	15	this	this	DET
fcis-31256	90	16	method	method	NOUN
fcis-31256	90	17	greatly	greatly	ADV
fcis-31256	90	18	improves	improve	VERB
fcis-31256	90	19	pear	pear	NOUN
fcis-31256	90	20	detection	detection	NOUN
fcis-31256	90	21	in	in	ADP
fcis-31256	90	22	difficult	difficult	ADJ
fcis-31256	90	23	orchard	orchard	ADJ
fcis-31256	90	24	conditions	condition	NOUN
fcis-31256	90	25	.	.	PUNCT
fcis-31256	91	1	compared	compare	VERB
fcis-31256	91	2	to	to	ADP
fcis-31256	91	3	existing	exist	VERB
fcis-31256	91	4	detection	detection	NOUN
fcis-31256	91	5	methods	method	NOUN
fcis-31256	91	6	,	,	PUNCT
fcis-31256	91	7	the	the	DET
fcis-31256	91	8	proposed	propose	VERB
fcis-31256	91	9	model	model	NOUN
fcis-31256	91	10	delivers	deliver	VERB
fcis-31256	91	11	better	well	ADJ
fcis-31256	91	12	detection	detection	NOUN
fcis-31256	91	13	accuracy	accuracy	NOUN
fcis-31256	91	14	on	on	ADP
fcis-31256	91	15	fragrant	fragrant	ADJ
fcis-31256	91	16	pear	pear	NOUN
fcis-31256	91	17	datasets	dataset	NOUN
fcis-31256	91	18	while	while	SCONJ
fcis-31256	91	19	significantly	significantly	ADV
fcis-31256	91	20	reducing	reduce	VERB
fcis-31256	91	21	computational	computational	ADJ
fcis-31256	91	22	requirements	requirement	NOUN
fcis-31256	91	23	.	.	PUNCT
fcis-31256	92	1	upgrades	upgrade	NOUN
fcis-31256	92	2	to	to	ADP
fcis-31256	92	3	the	the	DET
fcis-31256	92	4	backbone	backbone	NOUN
fcis-31256	92	5	network	network	NOUN
fcis-31256	92	6	and	and	CCONJ
fcis-31256	92	7	feature	feature	NOUN
fcis-31256	92	8	extraction	extraction	NOUN
fcis-31256	92	9	modules	module	NOUN
fcis-31256	92	10	specifically	specifically	ADV
fcis-31256	92	11	enhance	enhance	VERB
fcis-31256	92	12	the	the	DET
fcis-31256	92	13	model	model	NOUN
fcis-31256	92	14	’s	’s	PART
fcis-31256	92	15	suitability	suitability	NOUN
fcis-31256	92	16	for	for	ADP
fcis-31256	92	17	mobile	mobile	ADJ
fcis-31256	92	18	and	and	CCONJ
fcis-31256	92	19	edge	edge	NOUN
fcis-31256	92	20	-	-	PUNCT
fcis-31256	92	21	computing	compute	VERB
fcis-31256	92	22	deployment	deployment	NOUN
fcis-31256	92	23	.	.	PUNCT
fcis-31256	93	1	future	future	ADJ
fcis-31256	93	2	research	research	NOUN
fcis-31256	93	3	will	will	AUX
fcis-31256	93	4	focus	focus	VERB
fcis-31256	93	5	on	on	ADP
fcis-31256	93	6	improving	improve	VERB
fcis-31256	93	7	adaptability	adaptability	NOUN
fcis-31256	93	8	across	across	ADP
fcis-31256	93	9	various	various	ADJ
fcis-31256	93	10	orchard	orchard	ADJ
fcis-31256	93	11	environments	environment	NOUN
fcis-31256	93	12	,	,	PUNCT
fcis-31256	93	13	advancing	advance	VERB
fcis-31256	93	14	coordinated	coordinated	ADJ
fcis-31256	93	15	robotic	robotic	ADJ
fcis-31256	93	16	picking	picking	NOUN
fcis-31256	93	17	systems	system	NOUN
fcis-31256	93	18	,	,	PUNCT
fcis-31256	93	19	creating	create	VERB
fcis-31256	93	20	multimodal	multimodal	ADJ
fcis-31256	93	21	datasets	dataset	NOUN
fcis-31256	93	22	(	(	PUNCT
fcis-31256	93	23	including	include	VERB
fcis-31256	93	24	multispectral	multispectral	ADJ
fcis-31256	93	25	imaging	imaging	NOUN
fcis-31256	93	26	,	,	PUNCT
fcis-31256	93	27	3d	3d	NUM
fcis-31256	93	28	point	point	NOUN
fcis-31256	93	29	clouds	cloud	NOUN
fcis-31256	93	30	,	,	PUNCT
fcis-31256	93	31	etc	etc	X
fcis-31256	93	32	.	.	X
fcis-31256	93	33	)	)	PUNCT
fcis-31256	93	34	that	that	PRON
fcis-31256	93	35	cover	cover	VERB
fcis-31256	93	36	the	the	DET
fcis-31256	93	37	full	full	ADJ
fcis-31256	93	38	growth	growth	NOUN
fcis-31256	93	39	cycle	cycle	NOUN
fcis-31256	93	40	of	of	ADP
fcis-31256	93	41	fragrant	fragrant	ADJ
fcis-31256	93	42	pears	pear	NOUN
fcis-31256	93	43	to	to	PART
fcis-31256	93	44	improve	improve	VERB
fcis-31256	93	45	generalization	generalization	NOUN
fcis-31256	93	46	,	,	PUNCT
fcis-31256	93	47	and	and	CCONJ
fcis-31256	93	48	continuously	continuously	ADV
fcis-31256	93	49	refining	refine	VERB
fcis-31256	93	50	algorithms	algorithm	NOUN
fcis-31256	93	51	to	to	PART
fcis-31256	93	52	boost	boost	VERB
fcis-31256	93	53	detection	detection	NOUN
fcis-31256	93	54	accuracy	accuracy	NOUN
fcis-31256	93	55	and	and	CCONJ
fcis-31256	93	56	real	real	ADJ
fcis-31256	93	57	-	-	PUNCT
fcis-31256	93	58	time	time	NOUN
fcis-31256	93	59	performance	performance	NOUN
fcis-31256	93	60	.	.	PUNCT
fcis-31256	94	1	these	these	DET
fcis-31256	94	2	developments	development	NOUN
fcis-31256	94	3	will	will	AUX
fcis-31256	94	4	support	support	VERB
fcis-31256	94	5	the	the	DET
fcis-31256	94	6	practical	practical	ADJ
fcis-31256	94	7	implementation	implementation	NOUN
fcis-31256	94	8	of	of	ADP
fcis-31256	94	9	automated	automate	VERB
fcis-31256	94	10	orchard	orchard	NOUN
fcis-31256	94	11	harvesting	harvesting	NOUN
fcis-31256	94	12	solutions	solution	NOUN
fcis-31256	94	13	.	.	PUNCT
fcis-31256	95	1	references	reference	NOUN
fcis-31256	95	2	[	[	X
fcis-31256	95	3	1	1	NUM
fcis-31256	95	4	]	]	X
fcis-31256	95	5	feng	feng	PROPN
fcis-31256	95	6	zhang	zhang	PROPN
fcis-31256	95	7	,	,	PUNCT
fcis-31256	95	8	zhiqin	zhiqin	PROPN
fcis-31256	95	9	jiang	jiang	PROPN
fcis-31256	95	10	,	,	PUNCT
fcis-31256	95	11	xiaoguang	xiaoguang	PROPN
fcis-31256	95	12	chen	chen	PROPN
fcis-31256	95	13	,	,	PUNCT
fcis-31256	95	14	et	et	PROPN
fcis-31256	95	15	al	al	PROPN
fcis-31256	95	16	.	.	PUNCT
fcis-31256	96	1	the	the	DET
fcis-31256	96	2	development	development	NOUN
fcis-31256	96	3	factors	factor	NOUN
fcis-31256	96	4	of	of	ADP
fcis-31256	96	5	pyrus	pyrus	NOUN
fcis-31256	96	6	sinkiangensis	sinkiangensis	NOUN
fcis-31256	96	7	‘	'	PUNCT
fcis-31256	96	8	korla	korla	PROPN
fcis-31256	96	9	xiangli	xiangli	PROPN
fcis-31256	96	10	’	'	PUNCT
fcis-31256	96	11	industry	industry	NOUN
fcis-31256	97	1	[	[	X
fcis-31256	97	2	j	j	X
fcis-31256	97	3	]	]	X
fcis-31256	97	4	.	.	PUNCT
fcis-31256	98	1	chinese	chinese	ADJ
fcis-31256	98	2	agricultural	agricultural	ADJ
fcis-31256	98	3	science	science	PROPN
fcis-31256	98	4	bulletin.2021,vol	bulletin.2021,vol	PROPN
fcis-31256	98	5	.	.	PUNCT
fcis-31256	99	1	37	37	NUM
fcis-31256	99	2	(	(	PUNCT
fcis-31256	99	3	no	no	NOUN
fcis-31256	99	4	.	.	NOUN
fcis-31256	99	5	34	34	NUM
fcis-31256	99	6	)	)	PUNCT
fcis-31256	99	7	,	,	PUNCT
fcis-31256	99	8	p.159	p.159	NOUN
fcis-31256	99	9	-	-	PUNCT
fcis-31256	99	10	164	164	NUM
fcis-31256	99	11	.	.	PUNCT
fcis-31256	100	1	[	[	X
fcis-31256	100	2	2	2	X
fcis-31256	100	3	]	]	X
fcis-31256	100	4	ren	ren	PROPN
fcis-31256	100	5	s	s	PART
fcis-31256	100	6	,	,	PUNCT
fcis-31256	100	7	he	he	PRON
fcis-31256	100	8	k	k	NOUN
fcis-31256	100	9	,	,	PUNCT
fcis-31256	100	10	girshick	girshick	ADJ
fcis-31256	100	11	r	r	NOUN
fcis-31256	100	12	,	,	PUNCT
fcis-31256	100	13	et	et	PROPN
fcis-31256	100	14	al	al	PROPN
fcis-31256	100	15	.	.	PUNCT
fcis-31256	101	1	faster	fast	ADJ
fcis-31256	101	2	r	r	NOUN
fcis-31256	101	3	-	-	PUNCT
fcis-31256	101	4	cnn	cnn	NOUN
fcis-31256	101	5	:	:	PUNCT
fcis-31256	101	6	towards	towards	ADP
fcis-31256	101	7	realtime	realtime	ADJ
fcis-31256	101	8	object	object	NOUN
fcis-31256	101	9	detection	detection	NOUN
fcis-31256	101	10	with	with	ADP
fcis-31256	101	11	region	region	NOUN
fcis-31256	101	12	proposal	proposal	NOUN
fcis-31256	101	13	networks	network	NOUN
fcis-31256	102	1	[	[	X
fcis-31256	102	2	j	j	X
fcis-31256	102	3	]	]	X
fcis-31256	102	4	.	.	PUNCT
fcis-31256	103	1	ieee	ieee	NOUN
fcis-31256	103	2	transactions	transaction	NOUN
fcis-31256	103	3	on	on	ADP
fcis-31256	103	4	pattern	pattern	NOUN
fcis-31256	103	5	analysis	analysis	NOUN
fcis-31256	103	6	&	&	CCONJ
fcis-31256	103	7	machine	machine	NOUN
fcis-31256	103	8	intelligence	intelligence	NOUN
fcis-31256	103	9	,	,	PUNCT
fcis-31256	103	10	2017	2017	NUM
fcis-31256	103	11	,	,	PUNCT
fcis-31256	103	12	39(6):1137	39(6):1137	NUM
fcis-31256	103	13	-	-	SYM
fcis-31256	103	14	1149	1149	NUM
fcis-31256	103	15	.	.	PUNCT
fcis-31256	104	1	[	[	X
fcis-31256	104	2	3	3	X
fcis-31256	104	3	]	]	X
fcis-31256	104	4	redmon	redmon	PROPN
fcis-31256	104	5	j	j	PROPN
fcis-31256	104	6	,	,	PUNCT
fcis-31256	104	7	divvala	divvala	PROPN
fcis-31256	104	8	s	s	PROPN
fcis-31256	104	9	,	,	PUNCT
fcis-31256	104	10	girshick	girshick	ADJ
fcis-31256	104	11	r	r	NOUN
fcis-31256	104	12	,	,	PUNCT
fcis-31256	104	13	et	et	PROPN
fcis-31256	104	14	al	al	PROPN
fcis-31256	104	15	.	.	PUNCT
fcis-31256	105	1	you	you	PRON
fcis-31256	105	2	only	only	ADV
fcis-31256	105	3	look	look	VERB
fcis-31256	105	4	once	once	ADV
fcis-31256	105	5	:	:	PUNCT
fcis-31256	105	6	unified	unified	ADJ
fcis-31256	105	7	,	,	PUNCT
fcis-31256	105	8	real	real	ADJ
fcis-31256	105	9	-	-	PUNCT
fcis-31256	105	10	time	time	NOUN
fcis-31256	105	11	object	object	NOUN
fcis-31256	105	12	detection[c]//	detection[c]//	ADJ
fcis-31256	105	13	proceedings	proceeding	NOUN
fcis-31256	105	14	of	of	ADP
fcis-31256	105	15	the	the	DET
fcis-31256	105	16	ieee	ieee	NOUN
fcis-31256	105	17	conference	conference	NOUN
fcis-31256	105	18	on	on	ADP
fcis-31256	105	19	computer	computer	NOUN
fcis-31256	105	20	vision	vision	NOUN
fcis-31256	105	21	and	and	CCONJ
fcis-31256	105	22	pattern	pattern	NOUN
fcis-31256	105	23	recognition	recognition	NOUN
fcis-31256	105	24	.	.	PUNCT
fcis-31256	106	1	seattle	seattle	PROPN
fcis-31256	106	2	,	,	PUNCT
fcis-31256	106	3	wa	wa	PROPN
fcis-31256	106	4	,	,	PUNCT
fcis-31256	106	5	2016	2016	NUM
fcis-31256	106	6	:	:	PUNCT
fcis-31256	106	7	779	779	NUM
fcis-31256	106	8	-	-	SYM
fcis-31256	106	9	788	788	NUM
fcis-31256	106	10	.	.	PUNCT
fcis-31256	107	1	[	[	X
fcis-31256	107	2	4	4	X
fcis-31256	107	3	]	]	X
fcis-31256	107	4	redmon	redmon	PROPN
fcis-31256	107	5	j	j	PROPN
fcis-31256	107	6	,	,	PUNCT
fcis-31256	107	7	farhadi	farhadi	PROPN
fcis-31256	107	8	a	a	DET
fcis-31256	107	9	yolov3	yolov3	PROPN
fcis-31256	107	10	:	:	PUNCT
fcis-31256	107	11	an	an	DET
fcis-31256	107	12	incremental	incremental	ADJ
fcis-31256	107	13	improvement	improvement	NOUN
fcis-31256	108	1	[	[	X
fcis-31256	108	2	j	j	X
fcis-31256	108	3	]	]	X
fcis-31256	108	4	.	.	PUNCT
fcis-31256	109	1	arxiv	arxiv	PROPN
fcis-31256	109	2	e	e	PROPN
fcis-31256	109	3	-	-	NOUN
fcis-31256	109	4	prints	print	NOUN
fcis-31256	109	5	,	,	PUNCT
fcis-31256	109	6	2018	2018	NUM
fcis-31256	109	7	.	.	PUNCT
fcis-31256	110	1	[	[	X
fcis-31256	110	2	5	5	NUM
fcis-31256	110	3	]	]	X
fcis-31256	110	4	li	li	PROPN
fcis-31256	110	5	c	c	PROPN
fcis-31256	110	6	,	,	PUNCT
fcis-31256	110	7	li	li	PROPN
fcis-31256	110	8	l	l	PROPN
fcis-31256	110	9	,	,	PUNCT
fcis-31256	110	10	jiang	jiang	PROPN
fcis-31256	110	11	h	h	PROPN
fcis-31256	110	12	,	,	PUNCT
fcis-31256	110	13	et	et	PROPN
fcis-31256	110	14	al	al	PROPN
fcis-31256	110	15	.	.	PROPN
fcis-31256	110	16	yolov6	yolov6	PROPN
fcis-31256	110	17	:	:	PUNCT
fcis-31256	110	18	a	a	DET
fcis-31256	110	19	single	single	ADJ
fcis-31256	110	20	-	-	PUNCT
fcis-31256	110	21	stage	stage	NOUN
fcis-31256	110	22	object	object	NOUN
fcis-31256	110	23	detection	detection	NOUN
fcis-31256	110	24	framework	framework	NOUN
fcis-31256	110	25	for	for	ADP
fcis-31256	110	26	industrial	industrial	ADJ
fcis-31256	110	27	applications[eb	applications[eb	PROPN
fcis-31256	110	28	/	/	SYM
fcis-31256	110	29	ol	ol	PROPN
fcis-31256	110	30	]	]	PUNCT
fcis-31256	110	31	.	.	PUNCT
fcis-31256	111	1	(	(	PUNCT
fcis-31256	111	2	2022	2022	NUM
fcis-31256	111	3	-	-	SYM
fcis-31256	111	4	09	09	NUM
fcis-31256	111	5	-	-	PUNCT
fcis-31256	111	6	07	07	NUM
fcis-31256	111	7	)	)	PUNCT
fcis-31256	112	1	[	[	X
fcis-31256	112	2	2024	2024	NUM
fcis-31256	112	3	-	-	SYM
fcis-31256	112	4	05	05	NUM
fcis-31256	112	5	-	-	PUNCT
fcis-31256	112	6	07	07	NUM
fcis-31256	112	7	]	]	PUNCT
fcis-31256	112	8	.	.	PUNCT
fcis-31256	113	1	[	[	X
fcis-31256	113	2	6	6	NUM
fcis-31256	113	3	]	]	X
fcis-31256	113	4	liu	liu	PROPN
fcis-31256	113	5	t	t	PROPN
fcis-31256	113	6	,	,	PUNCT
fcis-31256	113	7	kang	kang	PROPN
fcis-31256	113	8	h	h	PROPN
fcis-31256	113	9	,	,	PUNCT
fcis-31256	113	10	chen	chen	PROPN
fcis-31256	113	11	c.	c.	PROPN
fcis-31256	113	12	orb	orb	PROPN
fcis-31256	113	13	-	-	PUNCT
fcis-31256	113	14	livox	livox	NOUN
fcis-31256	113	15	:	:	PUNCT
fcis-31256	113	16	a	a	DET
fcis-31256	113	17	real	real	ADJ
fcis-31256	113	18	-	-	PUNCT
fcis-31256	113	19	time	time	NOUN
fcis-31256	113	20	dynamic	dynamic	ADJ
fcis-31256	113	21	system	system	NOUN
fcis-31256	113	22	for	for	ADP
fcis-31256	113	23	fruit	fruit	NOUN
fcis-31256	113	24	detection	detection	NOUN
fcis-31256	113	25	and	and	CCONJ
fcis-31256	113	26	localization[j].computers	localization[j].computer	NOUN
fcis-31256	113	27	and	and	CCONJ
fcis-31256	113	28	electronics	electronic	NOUN
fcis-31256	113	29	in	in	ADP
fcis-31256	113	30	agriculture	agriculture	NOUN
fcis-31256	113	31	,	,	PUNCT
fcis-31256	113	32	2023:209	2023:209	NOUN
fcis-31256	113	33	.	.	PUNCT
fcis-31256	114	1	[	[	X
fcis-31256	114	2	7	7	X
fcis-31256	114	3	]	]	X
fcis-31256	114	4	housen	housen	PROPN
fcis-31256	114	5	tan	tan	PROPN
fcis-31256	114	6	,	,	PUNCT
fcis-31256	114	7	wenhong	wenhong	PROPN
fcis-31256	114	8	ma	ma	PROPN
fcis-31256	114	9	,	,	PUNCT
fcis-31256	114	10	yuan	yuan	PROPN
fcis-31256	114	11	tian	tian	PROPN
fcis-31256	114	12	,	,	PUNCT
fcis-31256	114	13	et	et	PROPN
fcis-31256	114	14	al	al	PROPN
fcis-31256	114	15	.	.	PROPN
fcis-31256	114	16	improved	improve	VERB
fcis-31256	114	17	yolov8n	yolov8n	NOUN
fcis-31256	114	18	object	object	VERB
fcis-31256	114	19	detection	detection	NOUN
fcis-31256	114	20	of	of	ADP
fcis-31256	114	21	fragrant	fragrant	ADJ
fcis-31256	114	22	pears[j	pears[j	NOUN
fcis-31256	114	23	]	]	PUNCT
fcis-31256	114	24	.	.	PUNCT
fcis-31256	115	1	transactions	transaction	NOUN
fcis-31256	115	2	of	of	ADP
fcis-31256	115	3	the	the	DET
fcis-31256	115	4	chinese	chinese	ADJ
fcis-31256	115	5	society	society	NOUN
fcis-31256	115	6	of	of	ADP
fcis-31256	115	7	agricultural	agricultural	ADJ
fcis-31256	115	8	engineering	engineering	NOUN
fcis-31256	115	9	(	(	PUNCT
fcis-31256	115	10	transactions	transaction	NOUN
fcis-31256	115	11	of	of	ADP
fcis-31256	115	12	the	the	DET
fcis-31256	115	13	csae	csae	NOUN
fcis-31256	115	14	)	)	PUNCT
fcis-31256	115	15	,	,	PUNCT
fcis-31256	115	16	2024	2024	NUM
fcis-31256	115	17	,	,	PUNCT
fcis-31256	115	18	vol.40(no.11),p	vol.40(no.11),p	PROPN
fcis-31256	115	19	.	.	NOUN
fcis-31256	115	20	178	178	NUM
fcis-31256	115	21	-	-	SYM
fcis-31256	115	22	185	185	NUM
fcis-31256	115	23	.	.	PUNCT
fcis-31256	116	1	[	[	X
fcis-31256	116	2	8	8	NUM
fcis-31256	116	3	]	]	X
fcis-31256	116	4	mingming	mingming	PROPN
fcis-31256	116	5	shao	shao	PROPN
fcis-31256	116	6	,	,	PUNCT
fcis-31256	116	7	liping	liping	PROPN
fcis-31256	116	8	zhang	zhang	PROPN
fcis-31256	116	9	,	,	PUNCT
fcis-31256	116	10	weiqiang	weiqiang	PROPN
fcis-31256	116	11	zheng	zheng	PROPN
fcis-31256	116	12	,	,	PUNCT
fcis-31256	116	13	et	et	PROPN
fcis-31256	116	14	al	al	PROPN
fcis-31256	116	15	.	.	PUNCT
fcis-31256	117	1	picking	pick	VERB
fcis-31256	117	2	recognition	recognition	NOUN
fcis-31256	117	3	of	of	ADP
fcis-31256	117	4	fragrant	fragrant	ADJ
fcis-31256	117	5	pear	pear	NOUN
fcis-31256	117	6	and	and	CCONJ
fcis-31256	117	7	fruit	fruit	NOUN
fcis-31256	117	8	stem	stem	NOUN
fcis-31256	117	9	based	base	VERB
fcis-31256	117	10	on	on	ADP
fcis-31256	117	11	improved	improved	ADJ
fcis-31256	117	12	yolov7[j	yolov7[j	NOUN
fcis-31256	117	13	]	]	PUNCT
fcis-31256	117	14	.	.	PUNCT
fcis-31256	118	1	journal	journal	PROPN
fcis-31256	118	2	of	of	ADP
fcis-31256	118	3	chinese	chinese	ADJ
fcis-31256	118	4	agricultural	agricultural	ADJ
fcis-31256	118	5	mechanization	mechanization	NOUN
fcis-31256	118	6	,	,	PUNCT
fcis-31256	118	7	2025	2025	NUM
fcis-31256	118	8	,	,	PUNCT
fcis-31256	118	9	vol.46	vol.46	NOUN
fcis-31256	118	10	(	(	PUNCT
fcis-31256	118	11	no.6),p.128	no.6),p.128	NOUN
fcis-31256	118	12	-	-	PUNCT
fcis-31256	118	13	135	135	NUM
fcis-31256	118	14	.	.	PUNCT
fcis-31256	119	1	[	[	X
fcis-31256	119	2	9	9	NUM
fcis-31256	119	3	]	]	SYM
fcis-31256	119	4	n	n	CCONJ
fcis-31256	119	5	n	n	PRON
fcis-31256	119	6	ma	ma	PROPN
fcis-31256	119	7	,	,	PUNCT
fcis-31256	119	8	x	x	PROPN
fcis-31256	119	9	y	y	PROPN
fcis-31256	119	10	zhang	zhang	PROPN
fcis-31256	119	11	,	,	PUNCT
fcis-31256	119	12	h	h	PROPN
fcis-31256	119	13	t	t	PROPN
fcis-31256	119	14	zheng	zheng	PROPN
fcis-31256	119	15	,	,	PUNCT
fcis-31256	119	16	et	et	PROPN
fcis-31256	119	17	al	al	PROPN
fcis-31256	119	18	.	.	PUNCT
fcis-31256	120	1	shufflenet	shufflenet	PROPN
fcis-31256	120	2	v2	v2	PROPN
fcis-31256	120	3	:	:	PUNCT
fcis-31256	120	4	practical	practical	ADJ
fcis-31256	120	5	guidelines	guideline	NOUN
fcis-31256	120	6	for	for	ADP
fcis-31256	120	7	efficient	efficient	ADJ
fcis-31256	120	8	cnn	cnn	NOUN
fcis-31256	120	9	architecture	architecture	NOUN
fcis-31256	120	10	design	design	NOUN
fcis-31256	121	1	[	[	X
fcis-31256	122	1	m	m	X
fcis-31256	122	2	]	]	X
fcis-31256	122	3	//anon	//anon	PUNCT
fcis-31256	122	4	.	.	PUNCT
fcis-31256	123	1	lecture	lecture	NOUN
fcis-31256	123	2	notes	note	NOUN
fcis-31256	123	3	in	in	ADP
fcis-31256	123	4	computer	computer	NOUN
fcis-31256	123	5	science	science	NOUN
fcis-31256	123	6	.	.	PUNCT
fcis-31256	124	1	cham	cham	PROPN
fcis-31256	124	2	:	:	PUNCT
fcis-31256	124	3	springer	springer	NOUN
fcis-31256	124	4	international	international	ADJ
fcis-31256	124	5	publishing	publishing	NOUN
fcis-31256	124	6	,	,	PUNCT
fcis-31256	124	7	2018:122	2018:122	NUM
fcis-31256	124	8	-	-	SYM
fcis-31256	124	9	138	138	NUM
fcis-31256	124	10	.	.	PUNCT
fcis-31256	125	1	[	[	X
fcis-31256	125	2	10	10	NUM
fcis-31256	125	3	]	]	X
fcis-31256	125	4	howard	howard	PROPN
fcis-31256	125	5	a	a	PROPN
fcis-31256	125	6	,	,	PUNCT
fcis-31256	125	7	sandler	sandler	PROPN
fcis-31256	125	8	m	m	PROPN
fcis-31256	125	9	,	,	PUNCT
fcis-31256	125	10	chu	chu	PROPN
fcis-31256	125	11	g	g	PROPN
fcis-31256	125	12	,	,	PUNCT
fcis-31256	125	13	et	et	PROPN
fcis-31256	125	14	al	al	PROPN
fcis-31256	125	15	.	.	PUNCT
fcis-31256	125	16	searching	search	VERB
fcis-31256	125	17	for	for	ADP
fcis-31256	125	18	mobilenetv3	mobilenetv3	PROPN
fcis-31256	126	1	[	[	X
fcis-31256	126	2	j	j	X
fcis-31256	126	3	]	]	X
fcis-31256	126	4	.	.	PUNCT
fcis-31256	127	1	proceedings	proceeding	NOUN
fcis-31256	127	2	of	of	ADP
fcis-31256	127	3	the	the	DET
fcis-31256	127	4	ieee	ieee	NOUN
fcis-31256	127	5	/	/	SYM
fcis-31256	127	6	cvf	cvf	NOUN
fcis-31256	127	7	international	international	ADJ
fcis-31256	127	8	conference	conference	NOUN
fcis-31256	127	9	on	on	ADP
fcis-31256	127	10	computer	computer	NOUN
fcis-31256	127	11	vision	vision	NOUN
fcis-31256	127	12	(	(	PUNCT
fcis-31256	127	13	iccv	iccv	PROPN
fcis-31256	127	14	)	)	PUNCT
fcis-31256	127	15	,	,	PUNCT
fcis-31256	127	16	2019	2019	NUM
fcis-31256	127	17	,	,	PUNCT
fcis-31256	127	18	1314	1314	NUM
fcis-31256	127	19	-	-	SYM
fcis-31256	127	20	1324	1324	NUM
fcis-31256	127	21	.	.	PUNCT