id	sid	tid	token	lemma	pos
fcis-11018	1	1	frontiers	frontier	NOUN
fcis-11018	1	2	in	in	ADP
fcis-11018	1	3	computing	computing	NOUN
fcis-11018	1	4	and	and	CCONJ
fcis-11018	1	5	intelligent	intelligent	ADJ
fcis-11018	1	6	systems	system	NOUN
fcis-11018	1	7	issn	issn	VERB
fcis-11018	1	8	:	:	PUNCT
fcis-11018	1	9	2832	2832	NUM
fcis-11018	1	10	-	-	SYM
fcis-11018	1	11	6024	6024	NUM
fcis-11018	1	12	|	|	NOUN
fcis-11018	1	13	vol	vol	NOUN
fcis-11018	1	14	.	.	PROPN
fcis-11018	2	1	4	4	NUM
fcis-11018	2	2	,	,	PUNCT
fcis-11018	2	3	no	no	INTJ
fcis-11018	2	4	.	.	NOUN
fcis-11018	2	5	3	3	NUM
fcis-11018	2	6	,	,	PUNCT
fcis-11018	2	7	2023	2023	NUM
fcis-11018	2	8	44	44	NUM
fcis-11018	2	9	abnormal	abnormal	ADJ
fcis-11018	2	10	behavior	behavior	NOUN
fcis-11018	2	11	fish	fish	NOUN
fcis-11018	2	12	and	and	CCONJ
fcis-11018	2	13	population	population	NOUN
fcis-11018	2	14	detection	detection	NOUN
fcis-11018	2	15	method	method	NOUN
fcis-11018	2	16	based	base	VERB
fcis-11018	2	17	on	on	ADP
fcis-11018	2	18	deep	deep	ADJ
fcis-11018	2	19	learning	learning	NOUN
fcis-11018	2	20	zexin	zexin	PROPN
fcis-11018	2	21	zhao	zhao	PROPN
fcis-11018	3	1	*	*	PUNCT
fcis-11018	3	2	college	college	NOUN
fcis-11018	3	3	of	of	ADP
fcis-11018	3	4	electronic	electronic	ADJ
fcis-11018	3	5	and	and	CCONJ
fcis-11018	3	6	information	information	NOUN
fcis-11018	3	7	engineering	engineering	NOUN
fcis-11018	3	8	,	,	PUNCT
fcis-11018	3	9	guangdong	guangdong	PROPN
fcis-11018	3	10	ocean	ocean	PROPN
fcis-11018	3	11	university	university	PROPN
fcis-11018	3	12	,	,	PUNCT
fcis-11018	3	13	zhanjiang	zhanjiang	PROPN
fcis-11018	3	14	524000	524000	NUM
fcis-11018	3	15	,	,	PUNCT
fcis-11018	3	16	china	china	PROPN
fcis-11018	3	17	*	*	PUNCT
fcis-11018	3	18	corresponding	correspond	VERB
fcis-11018	3	19	author	author	NOUN
fcis-11018	3	20	email	email	NOUN
fcis-11018	3	21	:	:	PUNCT
fcis-11018	3	22	2112210024@stu.gdou.edu.cn	2112210024@stu.gdou.edu.cn	NUM
fcis-11018	3	23	abstract	abstract	NOUN
fcis-11018	3	24	:	:	PUNCT
fcis-11018	3	25	this	this	DET
fcis-11018	3	26	paper	paper	NOUN
fcis-11018	3	27	presents	present	VERB
fcis-11018	3	28	a	a	DET
fcis-11018	3	29	detection	detection	NOUN
fcis-11018	3	30	model	model	NOUN
fcis-11018	3	31	of	of	ADP
fcis-11018	3	32	fish	fish	NOUN
fcis-11018	3	33	with	with	ADP
fcis-11018	3	34	abnormal	abnormal	ADJ
fcis-11018	3	35	behavior	behavior	NOUN
fcis-11018	3	36	and	and	CCONJ
fcis-11018	3	37	their	their	PRON
fcis-11018	3	38	number	number	NOUN
fcis-11018	3	39	based	base	VERB
fcis-11018	3	40	on	on	ADP
fcis-11018	3	41	yolo	yolo	ADJ
fcis-11018	3	42	v8	v8	PROPN
fcis-11018	3	43	and	and	CCONJ
fcis-11018	3	44	deep	deep	ADJ
fcis-11018	3	45	sort	sort	NOUN
fcis-11018	3	46	algorithm	algorithm	NOUN
fcis-11018	3	47	.	.	PUNCT
fcis-11018	4	1	the	the	DET
fcis-11018	4	2	method	method	NOUN
fcis-11018	4	3	firstly	firstly	ADV
fcis-11018	4	4	uses	use	VERB
fcis-11018	4	5	computer	computer	NOUN
fcis-11018	4	6	and	and	CCONJ
fcis-11018	4	7	acquisition	acquisition	NOUN
fcis-11018	4	8	system	system	NOUN
fcis-11018	4	9	to	to	PART
fcis-11018	4	10	monitor	monitor	VERB
fcis-11018	4	11	and	and	CCONJ
fcis-11018	4	12	analyze	analyze	VERB
fcis-11018	4	13	the	the	DET
fcis-11018	4	14	fish	fish	NOUN
fcis-11018	4	15	behavior	behavior	NOUN
fcis-11018	4	16	in	in	ADP
fcis-11018	4	17	real	real	ADJ
fcis-11018	4	18	time	time	NOUN
fcis-11018	4	19	,	,	PUNCT
fcis-11018	4	20	and	and	CCONJ
fcis-11018	4	21	can	can	AUX
fcis-11018	4	22	effectively	effectively	ADV
fcis-11018	4	23	detect	detect	VERB
fcis-11018	4	24	the	the	DET
fcis-11018	4	25	abnormal	abnormal	ADJ
fcis-11018	4	26	behavior	behavior	NOUN
fcis-11018	4	27	of	of	ADP
fcis-11018	4	28	fish	fish	NOUN
fcis-11018	4	29	,	,	PUNCT
fcis-11018	4	30	such	such	ADJ
fcis-11018	4	31	as	as	ADP
fcis-11018	4	32	abnormal	abnormal	ADJ
fcis-11018	4	33	swimming	swimming	NOUN
fcis-11018	4	34	trajectory	trajectory	NOUN
fcis-11018	4	35	and	and	CCONJ
fcis-11018	4	36	abnormal	abnormal	ADJ
fcis-11018	4	37	residence	residence	NOUN
fcis-11018	4	38	time	time	NOUN
fcis-11018	4	39	.	.	PUNCT
fcis-11018	5	1	the	the	DET
fcis-11018	5	2	main	main	ADJ
fcis-11018	5	3	work	work	NOUN
fcis-11018	5	4	of	of	ADP
fcis-11018	5	5	this	this	DET
fcis-11018	5	6	paper	paper	NOUN
fcis-11018	5	7	is	be	AUX
fcis-11018	5	8	to	to	PART
fcis-11018	5	9	preprocess	preprocess	NOUN
fcis-11018	5	10	fish	fish	NOUN
fcis-11018	5	11	behavior	behavior	NOUN
fcis-11018	5	12	videos	video	NOUN
fcis-11018	5	13	,	,	PUNCT
fcis-11018	5	14	including	include	VERB
fcis-11018	5	15	video	video	NOUN
fcis-11018	5	16	segmentation	segmentation	NOUN
fcis-11018	5	17	,	,	PUNCT
fcis-11018	5	18	data	data	NOUN
fcis-11018	5	19	enhancement	enhancement	NOUN
fcis-11018	5	20	and	and	CCONJ
fcis-11018	5	21	other	other	ADJ
fcis-11018	5	22	operations	operation	NOUN
fcis-11018	5	23	,	,	PUNCT
fcis-11018	5	24	and	and	CCONJ
fcis-11018	5	25	use	use	VERB
fcis-11018	5	26	data	data	NOUN
fcis-11018	5	27	enhancement	enhancement	NOUN
fcis-11018	5	28	technology	technology	NOUN
fcis-11018	5	29	to	to	PART
fcis-11018	5	30	improve	improve	VERB
fcis-11018	5	31	the	the	DET
fcis-11018	5	32	problem	problem	NOUN
fcis-11018	5	33	of	of	ADP
fcis-11018	5	34	fish	fish	NOUN
fcis-11018	5	35	occlusion	occlusion	NOUN
fcis-11018	5	36	in	in	ADP
fcis-11018	5	37	data	datum	NOUN
fcis-11018	5	38	set	set	VERB
fcis-11018	5	39	,	,	PUNCT
fcis-11018	5	40	which	which	PRON
fcis-11018	5	41	is	be	AUX
fcis-11018	5	42	easy	easy	ADJ
fcis-11018	5	43	to	to	PART
fcis-11018	5	44	cause	cause	VERB
fcis-11018	5	45	model	model	NOUN
fcis-11018	5	46	false	false	ADJ
fcis-11018	5	47	detection	detection	NOUN
fcis-11018	5	48	.	.	PUNCT
fcis-11018	6	1	then	then	ADV
fcis-11018	6	2	,	,	PUNCT
fcis-11018	6	3	yolo	yolo	ADJ
fcis-11018	6	4	v8	v8	PROPN
fcis-11018	6	5	and	and	CCONJ
fcis-11018	6	6	deep	deep	ADJ
fcis-11018	6	7	sort	sort	NOUN
fcis-11018	6	8	algorithm	algorithm	NOUN
fcis-11018	6	9	were	be	AUX
fcis-11018	6	10	used	use	VERB
fcis-11018	6	11	for	for	ADP
fcis-11018	6	12	multi	multi	ADJ
fcis-11018	6	13	-	-	ADJ
fcis-11018	6	14	target	target	ADJ
fcis-11018	6	15	tracking	tracking	NOUN
fcis-11018	6	16	and	and	CCONJ
fcis-11018	6	17	target	target	NOUN
fcis-11018	6	18	detection	detection	NOUN
fcis-11018	6	19	to	to	PART
fcis-11018	6	20	extract	extract	VERB
fcis-11018	6	21	the	the	DET
fcis-11018	6	22	key	key	ADJ
fcis-11018	6	23	information	information	NOUN
fcis-11018	6	24	of	of	ADP
fcis-11018	6	25	fish	fish	NOUN
fcis-11018	6	26	behavior	behavior	NOUN
fcis-11018	6	27	.	.	PUNCT
fcis-11018	7	1	finally	finally	ADV
fcis-11018	7	2	,	,	PUNCT
fcis-11018	7	3	through	through	ADP
fcis-11018	7	4	the	the	DET
fcis-11018	7	5	analysis	analysis	NOUN
fcis-11018	7	6	and	and	CCONJ
fcis-11018	7	7	comparison	comparison	NOUN
fcis-11018	7	8	of	of	ADP
fcis-11018	7	9	the	the	DET
fcis-11018	7	10	extracted	extract	VERB
fcis-11018	7	11	information	information	NOUN
fcis-11018	7	12	,	,	PUNCT
fcis-11018	7	13	the	the	DET
fcis-11018	7	14	detection	detection	NOUN
fcis-11018	7	15	of	of	ADP
fcis-11018	7	16	fish	fish	NOUN
fcis-11018	7	17	with	with	ADP
fcis-11018	7	18	abnormal	abnormal	ADJ
fcis-11018	7	19	behavior	behavior	NOUN
fcis-11018	7	20	and	and	CCONJ
fcis-11018	7	21	its	its	PRON
fcis-11018	7	22	quantity	quantity	NOUN
fcis-11018	7	23	are	be	AUX
fcis-11018	7	24	realized	realize	VERB
fcis-11018	7	25	.	.	PUNCT
fcis-11018	8	1	the	the	DET
fcis-11018	8	2	experimental	experimental	ADJ
fcis-11018	8	3	results	result	NOUN
fcis-11018	8	4	show	show	VERB
fcis-11018	8	5	that	that	SCONJ
fcis-11018	8	6	the	the	DET
fcis-11018	8	7	method	method	NOUN
fcis-11018	8	8	proposed	propose	VERB
fcis-11018	8	9	in	in	ADP
fcis-11018	8	10	this	this	DET
fcis-11018	8	11	paper	paper	NOUN
fcis-11018	8	12	can	can	AUX
fcis-11018	8	13	effectively	effectively	ADV
fcis-11018	8	14	detect	detect	VERB
fcis-11018	8	15	the	the	DET
fcis-11018	8	16	abnormal	abnormal	ADJ
fcis-11018	8	17	behavior	behavior	NOUN
fcis-11018	8	18	of	of	ADP
fcis-11018	8	19	fish	fish	NOUN
fcis-11018	8	20	,	,	PUNCT
fcis-11018	8	21	has	have	VERB
fcis-11018	8	22	high	high	ADJ
fcis-11018	8	23	accuracy	accuracy	NOUN
fcis-11018	8	24	and	and	CCONJ
fcis-11018	8	25	real	real	ADJ
fcis-11018	8	26	-	-	PUNCT
fcis-11018	8	27	time	time	NOUN
fcis-11018	8	28	,	,	PUNCT
fcis-11018	8	29	and	and	CCONJ
fcis-11018	8	30	has	have	VERB
fcis-11018	8	31	certain	certain	ADJ
fcis-11018	8	32	application	application	NOUN
fcis-11018	8	33	and	and	CCONJ
fcis-11018	8	34	popularization	popularization	NOUN
fcis-11018	8	35	value	value	NOUN
fcis-11018	8	36	.	.	PUNCT
fcis-11018	9	1	keywords	keyword	NOUN
fcis-11018	9	2	:	:	PUNCT
fcis-11018	9	3	deep	deep	ADJ
fcis-11018	9	4	learning	learning	NOUN
fcis-11018	9	5	;	;	PUNCT
fcis-11018	9	6	target	target	NOUN
fcis-11018	9	7	detection	detection	NOUN
fcis-11018	9	8	;	;	PUNCT
fcis-11018	9	9	deep	deep	ADJ
fcis-11018	9	10	sort	sort	NOUN
fcis-11018	9	11	;	;	PUNCT
fcis-11018	9	12	yolo	yolo	PROPN
fcis-11018	9	13	v8	v8	PROPN
fcis-11018	9	14	;	;	PUNCT
fcis-11018	9	15	fish	fish	NOUN
fcis-11018	9	16	abnormal	abnormal	ADJ
fcis-11018	9	17	behavior	behavior	NOUN
fcis-11018	9	18	recognition	recognition	NOUN
fcis-11018	9	19	;	;	PUNCT
fcis-11018	9	20	computer	computer	NOUN
fcis-11018	9	21	vision	vision	NOUN
fcis-11018	9	22	.	.	PUNCT
fcis-11018	10	1	1	1	X
fcis-11018	10	2	.	.	X
fcis-11018	10	3	introduction	introduction	NOUN
fcis-11018	10	4	with	with	ADP
fcis-11018	10	5	the	the	DET
fcis-11018	10	6	destruction	destruction	NOUN
fcis-11018	10	7	of	of	ADP
fcis-11018	10	8	natural	natural	ADJ
fcis-11018	10	9	environment	environment	NOUN
fcis-11018	10	10	and	and	CCONJ
fcis-11018	10	11	the	the	DET
fcis-11018	10	12	continuous	continuous	ADJ
fcis-11018	10	13	development	development	NOUN
fcis-11018	10	14	of	of	ADP
fcis-11018	10	15	fishery	fishery	NOUN
fcis-11018	10	16	production	production	NOUN
fcis-11018	10	17	,	,	PUNCT
fcis-11018	10	18	the	the	DET
fcis-11018	10	19	detection	detection	NOUN
fcis-11018	10	20	of	of	ADP
fcis-11018	10	21	abnormal	abnormal	ADJ
fcis-11018	10	22	behavior	behavior	NOUN
fcis-11018	10	23	of	of	ADP
fcis-11018	10	24	fish	fish	NOUN
fcis-11018	10	25	becomes	become	VERB
fcis-11018	10	26	more	more	ADV
fcis-11018	10	27	and	and	CCONJ
fcis-11018	10	28	more	more	ADV
fcis-11018	10	29	important	important	ADJ
fcis-11018	10	30	.	.	PUNCT
fcis-11018	11	1	abnormal	abnormal	ADJ
fcis-11018	11	2	fish	fish	NOUN
fcis-11018	11	3	behavior	behavior	NOUN
fcis-11018	11	4	reflects	reflect	VERB
fcis-11018	11	5	fish	fish	NOUN
fcis-11018	11	6	disease	disease	NOUN
fcis-11018	11	7	and	and	CCONJ
fcis-11018	11	8	changes	change	NOUN
fcis-11018	11	9	in	in	ADP
fcis-11018	11	10	water	water	NOUN
fcis-11018	11	11	environment	environment	NOUN
fcis-11018	11	12	.	.	PUNCT
fcis-11018	12	1	counting	count	VERB
fcis-11018	12	2	fish	fish	NOUN
fcis-11018	12	3	with	with	ADP
fcis-11018	12	4	abnormal	abnormal	ADJ
fcis-11018	12	5	behavior	behavior	NOUN
fcis-11018	12	6	can	can	AUX
fcis-11018	12	7	accurately	accurately	ADV
fcis-11018	12	8	judge	judge	VERB
fcis-11018	12	9	hatching	hatch	VERB
fcis-11018	12	10	rate	rate	NOUN
fcis-11018	12	11	and	and	CCONJ
fcis-11018	12	12	mortality	mortality	NOUN
fcis-11018	12	13	.	.	PUNCT
fcis-11018	13	1	it	it	PRON
fcis-11018	13	2	plays	play	VERB
fcis-11018	13	3	an	an	DET
fcis-11018	13	4	important	important	ADJ
fcis-11018	13	5	role	role	NOUN
fcis-11018	13	6	in	in	ADP
fcis-11018	13	7	promoting	promote	VERB
fcis-11018	13	8	aquaculture	aquaculture	NOUN
fcis-11018	13	9	and	and	CCONJ
fcis-11018	13	10	water	water	NOUN
fcis-11018	13	11	environment	environment	NOUN
fcis-11018	13	12	monitoring	monitoring	NOUN
fcis-11018	13	13	.	.	PUNCT
fcis-11018	14	1	traditional	traditional	ADJ
fcis-11018	14	2	fish	fish	NOUN
fcis-11018	14	3	abnormal	abnormal	ADJ
fcis-11018	14	4	behavior	behavior	NOUN
fcis-11018	14	5	detection	detection	NOUN
fcis-11018	14	6	methods	method	NOUN
fcis-11018	14	7	mainly	mainly	ADV
fcis-11018	14	8	rely	rely	VERB
fcis-11018	14	9	on	on	ADP
fcis-11018	14	10	manual	manual	ADJ
fcis-11018	14	11	labeling	labeling	NOUN
fcis-11018	14	12	and	and	CCONJ
fcis-11018	14	13	manual	manual	ADJ
fcis-11018	14	14	feature	feature	NOUN
fcis-11018	14	15	extraction	extraction	NOUN
fcis-11018	14	16	,	,	PUNCT
fcis-11018	14	17	which	which	PRON
fcis-11018	14	18	has	have	VERB
fcis-11018	14	19	some	some	DET
fcis-11018	14	20	problems	problem	NOUN
fcis-11018	14	21	such	such	ADJ
fcis-11018	14	22	as	as	ADP
fcis-11018	14	23	inaccurate	inaccurate	ADJ
fcis-11018	14	24	labeling	labeling	NOUN
fcis-11018	14	25	and	and	CCONJ
fcis-11018	14	26	difficult	difficult	ADJ
fcis-11018	14	27	feature	feature	NOUN
fcis-11018	14	28	extraction	extraction	NOUN
fcis-11018	14	29	.	.	PUNCT
fcis-11018	15	1	since	since	SCONJ
fcis-11018	15	2	machine	machine	NOUN
fcis-11018	15	3	learning	learning	NOUN
fcis-11018	15	4	methods	method	NOUN
fcis-11018	15	5	for	for	ADP
fcis-11018	15	6	fish	fish	NOUN
fcis-11018	15	7	detection	detection	NOUN
fcis-11018	15	8	in	in	ADP
fcis-11018	15	9	underwater	underwater	ADJ
fcis-11018	15	10	images	image	NOUN
fcis-11018	15	11	are	be	AUX
fcis-11018	15	12	inexpensive	inexpensive	ADJ
fcis-11018	15	13	and	and	CCONJ
fcis-11018	15	14	easy	easy	ADJ
fcis-11018	15	15	to	to	PART
fcis-11018	15	16	operate	operate	VERB
fcis-11018	15	17	,	,	PUNCT
fcis-11018	15	18	therefore	therefore	ADV
fcis-11018	15	19	,	,	PUNCT
fcis-11018	15	20	it	it	PRON
fcis-11018	15	21	has	have	AUX
fcis-11018	15	22	been	be	AUX
fcis-11018	15	23	widely	widely	ADV
fcis-11018	15	24	used	use	VERB
fcis-11018	15	25	in	in	ADP
fcis-11018	15	26	fish	fish	NOUN
fcis-11018	15	27	species	specie	NOUN
fcis-11018	15	28	detection	detection	NOUN
fcis-11018	15	29	[	[	X
fcis-11018	15	30	1	1	NUM
fcis-11018	15	31	-	-	SYM
fcis-11018	15	32	5	5	NUM
fcis-11018	15	33	]	]	PUNCT
fcis-11018	15	34	,	,	PUNCT
fcis-11018	15	35	fish	fish	NOUN
fcis-11018	15	36	monitoring	monitoring	NOUN
fcis-11018	15	37	[	[	X
fcis-11018	15	38	6	6	NUM
fcis-11018	15	39	-	-	SYM
fcis-11018	15	40	7	7	NUM
fcis-11018	15	41	]	]	PUNCT
fcis-11018	15	42	,	,	PUNCT
fcis-11018	15	43	fish	fish	NOUN
fcis-11018	15	44	sorting	sort	VERB
fcis-11018	15	45	[	[	X
fcis-11018	15	46	8	8	NUM
fcis-11018	15	47	]	]	PUNCT
fcis-11018	15	48	,	,	PUNCT
fcis-11018	15	49	fish	fish	NOUN
fcis-11018	15	50	behavior	behavior	NOUN
fcis-11018	15	51	research	research	NOUN
fcis-11018	16	1	[	[	X
fcis-11018	16	2	9	9	NUM
fcis-11018	16	3	]	]	PUNCT
fcis-11018	16	4	,	,	PUNCT
fcis-11018	16	5	fish	fish	NOUN
fcis-11018	16	6	habitat	habitat	NOUN
fcis-11018	16	7	investigation	investigation	NOUN
fcis-11018	16	8	[	[	X
fcis-11018	16	9	10	10	NUM
fcis-11018	16	10	]	]	PUNCT
fcis-11018	16	11	,	,	PUNCT
fcis-11018	16	12	fish	fish	NOUN
fcis-11018	16	13	school	school	NOUN
fcis-11018	16	14	analysis	analysis	NOUN
fcis-11018	16	15	[	[	X
fcis-11018	16	16	11	11	NUM
fcis-11018	16	17	-	-	SYM
fcis-11018	16	18	12	12	NUM
fcis-11018	16	19	]	]	PUNCT
fcis-11018	16	20	and	and	CCONJ
fcis-11018	16	21	fish	fish	NOUN
fcis-11018	16	22	population	population	NOUN
fcis-11018	16	23	statistics	statistic	NOUN
fcis-11018	17	1	[	[	X
fcis-11018	17	2	13	13	NUM
fcis-11018	17	3	-	-	SYM
fcis-11018	17	4	14	14	NUM
fcis-11018	17	5	]	]	PUNCT
fcis-11018	17	6	.	.	PUNCT
fcis-11018	18	1	therefore	therefore	ADV
fcis-11018	18	2	,	,	PUNCT
fcis-11018	18	3	in	in	ADP
fcis-11018	18	4	recent	recent	ADJ
fcis-11018	18	5	years	year	NOUN
fcis-11018	18	6	,	,	PUNCT
fcis-11018	18	7	fish	fish	NOUN
fcis-11018	18	8	abnormal	abnormal	ADJ
fcis-11018	18	9	behavior	behavior	NOUN
fcis-11018	18	10	detection	detection	NOUN
fcis-11018	18	11	methods	method	NOUN
fcis-11018	18	12	based	base	VERB
fcis-11018	18	13	on	on	ADP
fcis-11018	18	14	deep	deep	ADJ
fcis-11018	18	15	learning	learning	NOUN
fcis-11018	18	16	have	have	AUX
fcis-11018	18	17	received	receive	VERB
fcis-11018	18	18	extensive	extensive	ADJ
fcis-11018	18	19	attention	attention	NOUN
fcis-11018	18	20	and	and	CCONJ
fcis-11018	18	21	research	research	NOUN
fcis-11018	18	22	.	.	PUNCT
fcis-11018	19	1	object	object	NOUN
fcis-11018	19	2	detection	detection	NOUN
fcis-11018	19	3	is	be	AUX
fcis-11018	19	4	the	the	DET
fcis-11018	19	5	detection	detection	NOUN
fcis-11018	19	6	of	of	ADP
fcis-11018	19	7	the	the	DET
fcis-11018	19	8	location	location	NOUN
fcis-11018	19	9	and	and	CCONJ
fcis-11018	19	10	number	number	NOUN
fcis-11018	19	11	of	of	ADP
fcis-11018	19	12	specific	specific	ADJ
fcis-11018	19	13	objects	object	NOUN
fcis-11018	19	14	in	in	ADP
fcis-11018	19	15	an	an	DET
fcis-11018	19	16	image	image	NOUN
fcis-11018	19	17	or	or	CCONJ
fcis-11018	19	18	video	video	NOUN
fcis-11018	19	19	.	.	PUNCT
fcis-11018	20	1	object	object	NOUN
fcis-11018	20	2	detection	detection	NOUN
fcis-11018	20	3	has	have	VERB
fcis-11018	20	4	a	a	DET
fcis-11018	20	5	broad	broad	ADJ
fcis-11018	20	6	application	application	NOUN
fcis-11018	20	7	prospect	prospect	NOUN
fcis-11018	20	8	in	in	ADP
fcis-11018	20	9	industrial	industrial	ADJ
fcis-11018	20	10	detection	detection	NOUN
fcis-11018	20	11	,	,	PUNCT
fcis-11018	20	12	unmanned	unmanned	ADJ
fcis-11018	20	13	driving	driving	NOUN
fcis-11018	20	14	,	,	PUNCT
fcis-11018	20	15	medical	medical	ADJ
fcis-11018	20	16	image	image	NOUN
fcis-11018	20	17	processing	processing	NOUN
fcis-11018	20	18	and	and	CCONJ
fcis-11018	20	19	other	other	ADJ
fcis-11018	20	20	fields	field	NOUN
fcis-11018	20	21	[	[	X
fcis-11018	20	22	15	15	NUM
fcis-11018	20	23	]	]	PUNCT
fcis-11018	20	24	.	.	PUNCT
fcis-11018	21	1	deep	deep	ADJ
fcis-11018	21	2	learning	learning	NOUN
fcis-11018	21	3	can	can	AUX
fcis-11018	21	4	achieve	achieve	VERB
fcis-11018	21	5	efficient	efficient	ADJ
fcis-11018	21	6	and	and	CCONJ
fcis-11018	21	7	accurate	accurate	ADJ
fcis-11018	21	8	target	target	NOUN
fcis-11018	21	9	detection	detection	NOUN
fcis-11018	21	10	by	by	ADP
fcis-11018	21	11	constructing	construct	VERB
fcis-11018	21	12	deep	deep	ADJ
fcis-11018	21	13	neural	neural	ADJ
fcis-11018	21	14	network	network	NOUN
fcis-11018	21	15	models	model	NOUN
fcis-11018	21	16	.	.	PUNCT
fcis-11018	22	1	at	at	ADP
fcis-11018	22	2	present	present	ADJ
fcis-11018	22	3	,	,	PUNCT
fcis-11018	22	4	the	the	DET
fcis-11018	22	5	main	main	ADJ
fcis-11018	22	6	method	method	NOUN
fcis-11018	22	7	of	of	ADP
fcis-11018	22	8	deep	deep	ADJ
fcis-11018	22	9	learning	learning	NOUN
fcis-11018	22	10	in	in	ADP
fcis-11018	22	11	the	the	DET
fcis-11018	22	12	field	field	NOUN
fcis-11018	22	13	of	of	ADP
fcis-11018	22	14	object	object	NOUN
fcis-11018	22	15	detection	detection	NOUN
fcis-11018	22	16	is	be	AUX
fcis-11018	22	17	the	the	DET
fcis-11018	22	18	method	method	NOUN
fcis-11018	22	19	based	base	VERB
fcis-11018	22	20	on	on	ADP
fcis-11018	22	21	convolutional	convolutional	ADJ
fcis-11018	22	22	neural	neural	ADJ
fcis-11018	22	23	network	network	NOUN
fcis-11018	22	24	(	(	PUNCT
fcis-11018	22	25	cnn	cnn	PROPN
fcis-11018	22	26	)	)	PUNCT
fcis-11018	22	27	.	.	PUNCT
fcis-11018	23	1	cnn	cnn	PROPN
fcis-11018	23	2	is	be	AUX
fcis-11018	23	3	a	a	DET
fcis-11018	23	4	special	special	ADJ
fcis-11018	23	5	kind	kind	NOUN
fcis-11018	23	6	of	of	ADP
fcis-11018	23	7	neural	neural	ADJ
fcis-11018	23	8	network	network	NOUN
fcis-11018	23	9	that	that	PRON
fcis-11018	23	10	can	can	AUX
fcis-11018	23	11	automatically	automatically	ADV
fcis-11018	23	12	learn	learn	VERB
fcis-11018	23	13	features	feature	NOUN
fcis-11018	23	14	in	in	ADP
fcis-11018	23	15	images	image	NOUN
fcis-11018	23	16	and	and	CCONJ
fcis-11018	23	17	use	use	VERB
fcis-11018	23	18	them	they	PRON
fcis-11018	23	19	for	for	ADP
fcis-11018	23	20	target	target	NOUN
fcis-11018	23	21	detection	detection	NOUN
fcis-11018	23	22	.	.	PUNCT
fcis-11018	24	1	through	through	ADP
fcis-11018	24	2	multi	multi	ADJ
fcis-11018	24	3	-	-	ADJ
fcis-11018	24	4	layer	layer	ADJ
fcis-11018	24	5	convolution	convolution	NOUN
fcis-11018	24	6	and	and	CCONJ
fcis-11018	24	7	pooling	pool	VERB
fcis-11018	24	8	operation	operation	NOUN
fcis-11018	24	9	,	,	PUNCT
fcis-11018	24	10	cnn	cnn	PROPN
fcis-11018	24	11	can	can	AUX
fcis-11018	24	12	gradually	gradually	ADV
fcis-11018	24	13	extract	extract	VERB
fcis-11018	24	14	high	high	ADJ
fcis-11018	24	15	-	-	PUNCT
fcis-11018	24	16	level	level	NOUN
fcis-11018	24	17	features	feature	NOUN
fcis-11018	24	18	in	in	ADP
fcis-11018	24	19	the	the	DET
fcis-11018	24	20	image	image	NOUN
fcis-11018	24	21	,	,	PUNCT
fcis-11018	24	22	so	so	SCONJ
fcis-11018	24	23	as	as	SCONJ
fcis-11018	24	24	to	to	PART
fcis-11018	24	25	achieve	achieve	VERB
fcis-11018	24	26	target	target	NOUN
fcis-11018	24	27	detection	detection	NOUN
fcis-11018	24	28	.	.	PUNCT
fcis-11018	25	1	in	in	ADP
fcis-11018	25	2	object	object	NOUN
fcis-11018	25	3	detection	detection	NOUN
fcis-11018	25	4	,	,	PUNCT
fcis-11018	25	5	common	common	ADJ
fcis-11018	25	6	deep	deep	ADJ
fcis-11018	25	7	learning	learning	NOUN
fcis-11018	25	8	models	model	NOUN
fcis-11018	25	9	include	include	VERB
fcis-11018	25	10	faster	fast	ADJ
fcis-11018	25	11	r	r	NOUN
fcis-11018	25	12	-	-	PUNCT
fcis-11018	25	13	cnn	cnn	PROPN
fcis-11018	25	14	,	,	PUNCT
fcis-11018	25	15	yolo	yolo	PROPN
fcis-11018	25	16	,	,	PUNCT
fcis-11018	25	17	detr	detr	NOUN
fcis-11018	25	18	,	,	PUNCT
fcis-11018	25	19	ssd	ssd	NOUN
fcis-11018	25	20	,	,	PUNCT
fcis-11018	25	21	etc	etc	X
fcis-11018	25	22	.	.	X
fcis-11018	26	1	these	these	DET
fcis-11018	26	2	models	model	NOUN
fcis-11018	26	3	are	be	AUX
fcis-11018	26	4	all	all	PRON
fcis-11018	26	5	based	base	VERB
fcis-11018	26	6	on	on	ADP
fcis-11018	26	7	cnn	cnn	PROPN
fcis-11018	26	8	,	,	PUNCT
fcis-11018	26	9	but	but	CCONJ
fcis-11018	26	10	their	their	PRON
fcis-11018	26	11	structures	structure	NOUN
fcis-11018	26	12	and	and	CCONJ
fcis-11018	26	13	algorithms	algorithm	NOUN
fcis-11018	26	14	are	be	AUX
fcis-11018	26	15	different	different	ADJ
fcis-11018	26	16	.	.	PUNCT
fcis-11018	27	1	at	at	ADP
fcis-11018	27	2	present	present	ADJ
fcis-11018	27	3	,	,	PUNCT
fcis-11018	27	4	single	single	ADJ
fcis-11018	27	5	-	-	PUNCT
fcis-11018	27	6	stage	stage	NOUN
fcis-11018	27	7	detection	detection	NOUN
fcis-11018	27	8	method	method	NOUN
fcis-11018	27	9	and	and	CCONJ
fcis-11018	27	10	twostage	twostage	NOUN
fcis-11018	27	11	detection	detection	NOUN
fcis-11018	27	12	method	method	NOUN
fcis-11018	27	13	are	be	AUX
fcis-11018	27	14	the	the	DET
fcis-11018	27	15	two	two	NUM
fcis-11018	27	16	most	most	ADV
fcis-11018	27	17	widely	widely	ADV
fcis-11018	27	18	used	use	VERB
fcis-11018	27	19	methods	method	NOUN
fcis-11018	27	20	.	.	PUNCT
fcis-11018	28	1	faster	fast	ADV
fcis-11018	28	2	r	r	NOUN
fcis-11018	28	3	-	-	PUNCT
fcis-11018	28	4	cnn	cnn	PROPN
fcis-11018	28	5	is	be	AUX
fcis-11018	28	6	a	a	DET
fcis-11018	28	7	two	two	NUM
fcis-11018	28	8	-	-	PUNCT
fcis-11018	28	9	stage	stage	NOUN
fcis-11018	28	10	object	object	NOUN
fcis-11018	28	11	detection	detection	NOUN
fcis-11018	28	12	method	method	NOUN
fcis-11018	28	13	that	that	PRON
fcis-11018	28	14	first	first	ADV
fcis-11018	28	15	generates	generate	VERB
fcis-11018	28	16	candidate	candidate	NOUN
fcis-11018	28	17	regions	region	NOUN
fcis-11018	28	18	through	through	ADP
fcis-11018	28	19	a	a	DET
fcis-11018	28	20	region	region	NOUN
fcis-11018	28	21	extraction	extraction	NOUN
fcis-11018	28	22	network	network	NOUN
fcis-11018	28	23	(	(	PUNCT
fcis-11018	28	24	rpn	rpn	PROPN
fcis-11018	28	25	)	)	PUNCT
fcis-11018	28	26	,	,	PUNCT
fcis-11018	28	27	and	and	CCONJ
fcis-11018	28	28	then	then	ADV
fcis-11018	28	29	classifiers	classifier	NOUN
fcis-11018	28	30	and	and	CCONJ
fcis-11018	28	31	regressions	regression	NOUN
fcis-11018	28	32	these	these	DET
fcis-11018	28	33	candidate	candidate	NOUN
fcis-11018	28	34	regions	region	NOUN
fcis-11018	28	35	.	.	PUNCT
fcis-11018	29	1	yolo	yolo	PROPN
fcis-11018	29	2	and	and	CCONJ
fcis-11018	29	3	ssd	ssd	NOUN
fcis-11018	29	4	are	be	AUX
fcis-11018	29	5	single	single	ADJ
fcis-11018	29	6	-	-	PUNCT
fcis-11018	29	7	stage	stage	NOUN
fcis-11018	29	8	object	object	NOUN
fcis-11018	29	9	detection	detection	NOUN
fcis-11018	29	10	methods	method	NOUN
fcis-11018	29	11	that	that	PRON
fcis-11018	29	12	directly	directly	ADV
fcis-11018	29	13	classify	classify	VERB
fcis-11018	29	14	and	and	CCONJ
fcis-11018	29	15	regression	regression	VERB
fcis-11018	29	16	the	the	DET
fcis-11018	29	17	entire	entire	ADJ
fcis-11018	29	18	image	image	NOUN
fcis-11018	29	19	to	to	PART
fcis-11018	29	20	achieve	achieve	VERB
fcis-11018	29	21	object	object	NOUN
fcis-11018	29	22	detection	detection	NOUN
fcis-11018	29	23	.	.	PUNCT
fcis-11018	30	1	researchers	researcher	NOUN
fcis-11018	30	2	at	at	ADP
fcis-11018	30	3	home	home	ADV
fcis-11018	30	4	and	and	CCONJ
fcis-11018	30	5	abroad	abroad	ADV
fcis-11018	30	6	have	have	AUX
fcis-11018	30	7	done	do	VERB
fcis-11018	30	8	a	a	DET
fcis-11018	30	9	lot	lot	NOUN
fcis-11018	30	10	of	of	ADP
fcis-11018	30	11	meaningful	meaningful	ADJ
fcis-11018	30	12	work	work	NOUN
fcis-11018	30	13	in	in	ADP
fcis-11018	30	14	this	this	DET
fcis-11018	30	15	area	area	NOUN
fcis-11018	30	16	,	,	PUNCT
fcis-11018	30	17	but	but	CCONJ
fcis-11018	30	18	there	there	PRON
fcis-11018	30	19	are	be	VERB
fcis-11018	30	20	still	still	ADV
fcis-11018	30	21	many	many	ADJ
fcis-11018	30	22	challenges	challenge	NOUN
fcis-11018	30	23	and	and	CCONJ
fcis-11018	30	24	difficulties	difficulty	NOUN
fcis-11018	30	25	.	.	PUNCT
fcis-11018	31	1	redmon	redmon	PROPN
fcis-11018	31	2	et	et	PROPN
fcis-11018	31	3	al	al	PROPN
fcis-11018	31	4	proposed	propose	VERB
fcis-11018	31	5	the	the	DET
fcis-11018	31	6	yolo	yolo	ADJ
fcis-11018	31	7	algorithm	algorithm	NOUN
fcis-11018	32	1	[	[	X
fcis-11018	32	2	16	16	NUM
fcis-11018	32	3	]	]	PUNCT
fcis-11018	32	4	in	in	ADP
fcis-11018	32	5	2016	2016	NUM
fcis-11018	32	6	,	,	PUNCT
fcis-11018	32	7	which	which	PRON
fcis-11018	32	8	transformed	transform	VERB
fcis-11018	32	9	target	target	NOUN
fcis-11018	32	10	detection	detection	NOUN
fcis-11018	32	11	into	into	ADP
fcis-11018	32	12	a	a	DET
fcis-11018	32	13	regression	regression	NOUN
fcis-11018	32	14	problem	problem	NOUN
fcis-11018	32	15	and	and	CCONJ
fcis-11018	32	16	improved	improve	VERB
fcis-11018	32	17	the	the	DET
fcis-11018	32	18	detection	detection	NOUN
fcis-11018	32	19	speed	speed	NOUN
fcis-11018	32	20	[	[	X
fcis-11018	32	21	17	17	NUM
fcis-11018	32	22	]	]	PUNCT
fcis-11018	32	23	.	.	PUNCT
fcis-11018	33	1	wang	wang	PROPN
fcis-11018	33	2	et	et	PROPN
fcis-11018	33	3	al	al	PROPN
fcis-11018	33	4	.	.	PUNCT
fcis-11018	34	1	[	[	X
fcis-11018	34	2	18	18	NUM
fcis-11018	34	3	]	]	PUNCT
fcis-11018	34	4	introduced	introduce	VERB
fcis-11018	34	5	dense	dense	ADJ
fcis-11018	34	6	net	net	NOUN
fcis-11018	34	7	into	into	ADP
fcis-11018	34	8	yolo	yolo	ADJ
fcis-11018	34	9	v5	v5	PROPN
fcis-11018	34	10	,	,	PUNCT
fcis-11018	34	11	increased	increase	VERB
fcis-11018	34	12	the	the	DET
fcis-11018	34	13	number	number	NOUN
fcis-11018	34	14	of	of	ADP
fcis-11018	34	15	bottleneck	bottleneck	NOUN
fcis-11018	34	16	structures	structure	NOUN
fcis-11018	34	17	,	,	PUNCT
fcis-11018	34	18	compressed	compress	VERB
fcis-11018	34	19	the	the	DET
fcis-11018	34	20	number	number	NOUN
fcis-11018	34	21	of	of	ADP
fcis-11018	34	22	parameters	parameter	NOUN
fcis-11018	34	23	in	in	ADP
fcis-11018	34	24	the	the	DET
fcis-11018	34	25	model	model	NOUN
fcis-11018	34	26	,	,	PUNCT
fcis-11018	34	27	and	and	CCONJ
fcis-11018	34	28	significantly	significantly	ADV
fcis-11018	34	29	improved	improve	VERB
fcis-11018	34	30	the	the	DET
fcis-11018	34	31	detection	detection	NOUN
fcis-11018	34	32	speed	speed	NOUN
fcis-11018	34	33	[	[	X
fcis-11018	34	34	19	19	NUM
fcis-11018	34	35	]	]	PUNCT
fcis-11018	34	36	.	.	PUNCT
fcis-11018	35	1	in	in	ADP
fcis-11018	35	2	order	order	NOUN
fcis-11018	35	3	to	to	PART
fcis-11018	35	4	better	well	ADV
fcis-11018	35	5	solve	solve	VERB
fcis-11018	35	6	these	these	DET
fcis-11018	35	7	problems	problem	NOUN
fcis-11018	35	8	,	,	PUNCT
fcis-11018	35	9	this	this	DET
fcis-11018	35	10	paper	paper	NOUN
fcis-11018	35	11	will	will	AUX
fcis-11018	35	12	introduce	introduce	VERB
fcis-11018	35	13	a	a	DET
fcis-11018	35	14	fish	fish	NOUN
fcis-11018	35	15	abnormal	abnormal	ADJ
fcis-11018	35	16	behavior	behavior	NOUN
fcis-11018	35	17	detection	detection	NOUN
fcis-11018	35	18	method	method	NOUN
fcis-11018	35	19	based	base	VERB
fcis-11018	35	20	on	on	ADP
fcis-11018	35	21	yolov8	yolov8	PROPN
fcis-11018	35	22	algorithm	algorithm	PROPN
fcis-11018	35	23	.	.	PUNCT
fcis-11018	36	1	yolov8	yolov8	NOUN
fcis-11018	36	2	algorithm	algorithm	PROPN
fcis-11018	36	3	is	be	AUX
fcis-11018	36	4	an	an	DET
fcis-11018	36	5	efficient	efficient	ADJ
fcis-11018	36	6	target	target	NOUN
fcis-11018	36	7	detection	detection	NOUN
fcis-11018	36	8	algorithm	algorithm	NOUN
fcis-11018	36	9	with	with	ADP
fcis-11018	36	10	high	high	ADJ
fcis-11018	36	11	accuracy	accuracy	NOUN
fcis-11018	36	12	and	and	CCONJ
fcis-11018	36	13	fast	fast	ADJ
fcis-11018	36	14	speed	speed	NOUN
fcis-11018	36	15	,	,	PUNCT
fcis-11018	36	16	which	which	PRON
fcis-11018	36	17	can	can	AUX
fcis-11018	36	18	be	be	AUX
fcis-11018	36	19	effectively	effectively	ADV
fcis-11018	36	20	applied	apply	VERB
fcis-11018	36	21	in	in	ADP
fcis-11018	36	22	the	the	DET
fcis-11018	36	23	field	field	NOUN
fcis-11018	36	24	of	of	ADP
fcis-11018	36	25	fish	fish	NOUN
fcis-11018	36	26	abnormal	abnormal	ADJ
fcis-11018	36	27	behavior	behavior	NOUN
fcis-11018	36	28	detection	detection	NOUN
fcis-11018	36	29	.	.	PUNCT
fcis-11018	37	1	this	this	DET
fcis-11018	37	2	paper	paper	NOUN
fcis-11018	37	3	will	will	AUX
fcis-11018	37	4	introduce	introduce	VERB
fcis-11018	37	5	the	the	DET
fcis-11018	37	6	principle	principle	NOUN
fcis-11018	37	7	and	and	CCONJ
fcis-11018	37	8	implementation	implementation	NOUN
fcis-11018	37	9	method	method	NOUN
fcis-11018	37	10	of	of	ADP
fcis-11018	37	11	yolov8	yolov8	NOUN
fcis-11018	37	12	algorithm	algorithm	PROPN
fcis-11018	37	13	in	in	ADP
fcis-11018	37	14	detail	detail	NOUN
fcis-11018	37	15	,	,	PUNCT
fcis-11018	37	16	and	and	CCONJ
fcis-11018	37	17	verify	verify	VERB
fcis-11018	37	18	its	its	PRON
fcis-11018	37	19	effectiveness	effectiveness	NOUN
fcis-11018	37	20	and	and	CCONJ
fcis-11018	37	21	superiority	superiority	NOUN
fcis-11018	37	22	in	in	ADP
fcis-11018	37	23	fish	fish	NOUN
fcis-11018	37	24	abnormal	abnormal	ADJ
fcis-11018	37	25	behavior	behavior	NOUN
fcis-11018	37	26	detection	detection	NOUN
fcis-11018	37	27	through	through	ADP
fcis-11018	37	28	experiments	experiment	NOUN
fcis-11018	37	29	.	.	PUNCT
fcis-11018	38	1	2	2	X
fcis-11018	38	2	.	.	NOUN
fcis-11018	38	3	model	model	NOUN
fcis-11018	38	4	introduction	introduction	NOUN
fcis-11018	38	5	and	and	CCONJ
fcis-11018	38	6	related	related	ADJ
fcis-11018	38	7	work	work	NOUN
fcis-11018	38	8	2.1	2.1	NUM
fcis-11018	38	9	.	.	PUNCT
fcis-11018	39	1	algorithm	algorithm	NOUN
fcis-11018	39	2	introduction	introduction	NOUN
fcis-11018	39	3	2.1.1	2.1.1	NUM
fcis-11018	39	4	.	.	PUNCT
fcis-11018	40	1	yolo	yolo	ADJ
fcis-11018	40	2	v8	v8	PROPN
fcis-11018	40	3	yolov8	yolov8	PROPN
fcis-11018	40	4	algorithm	algorithm	PROPN
fcis-11018	40	5	is	be	AUX
fcis-11018	40	6	an	an	DET
fcis-11018	40	7	object	object	NOUN
fcis-11018	40	8	detection	detection	NOUN
fcis-11018	40	9	algorithm	algorithm	NOUN
fcis-11018	40	10	based	base	VERB
fcis-11018	40	11	on	on	ADP
fcis-11018	40	12	deep	deep	ADJ
fcis-11018	40	13	learning	learning	NOUN
fcis-11018	40	14	.	.	PUNCT
fcis-11018	41	1	compared	compare	VERB
fcis-11018	41	2	with	with	ADP
fcis-11018	41	3	the	the	DET
fcis-11018	41	4	previous	previous	ADJ
fcis-11018	41	5	version	version	NOUN
fcis-11018	41	6	,	,	PUNCT
fcis-11018	41	7	yolov8	yolov8	PROPN
fcis-11018	41	8	has	have	AUX
fcis-11018	41	9	significantly	significantly	ADV
fcis-11018	41	10	improved	improve	VERB
fcis-11018	41	11	in	in	ADP
fcis-11018	41	12	speed	speed	NOUN
fcis-11018	41	13	and	and	CCONJ
fcis-11018	41	14	accuracy	accuracy	NOUN
fcis-11018	41	15	.	.	PUNCT
fcis-11018	42	1	yolov8	yolov8	NOUN
fcis-11018	42	2	is	be	AUX
fcis-11018	42	3	a	a	DET
fcis-11018	42	4	sota	sota	ADJ
fcis-11018	42	5	model	model	NOUN
fcis-11018	42	6	that	that	PRON
fcis-11018	42	7	builds	build	VERB
fcis-11018	42	8	on	on	ADP
fcis-11018	42	9	the	the	DET
fcis-11018	42	10	success	success	NOUN
fcis-11018	42	11	of	of	ADP
fcis-11018	42	12	previous	previous	ADJ
fcis-11018	42	13	yolo	yolo	ADJ
fcis-11018	42	14	versions	version	NOUN
fcis-11018	42	15	and	and	CCONJ
fcis-11018	42	16	introduces	introduce	VERB
fcis-11018	42	17	new	new	ADJ
fcis-11018	42	18	features	feature	NOUN
fcis-11018	42	19	and	and	CCONJ
fcis-11018	42	20	improvements	improvement	NOUN
fcis-11018	42	21	to	to	PART
fcis-11018	42	22	further	far	ADV
fcis-11018	42	23	improve	improve	VERB
fcis-11018	42	24	performance	performance	NOUN
fcis-11018	42	25	and	and	CCONJ
fcis-11018	42	26	flexibility	flexibility	NOUN
fcis-11018	42	27	.	.	PUNCT
fcis-11018	43	1	45	45	NUM
fcis-11018	43	2	specific	specific	ADJ
fcis-11018	43	3	innovations	innovation	NOUN
fcis-11018	43	4	include	include	VERB
fcis-11018	43	5	a	a	DET
fcis-11018	43	6	new	new	ADJ
fcis-11018	43	7	backbone	backbone	NOUN
fcis-11018	43	8	network	network	NOUN
fcis-11018	43	9	,	,	PUNCT
fcis-11018	43	10	a	a	DET
fcis-11018	43	11	new	new	ADJ
fcis-11018	43	12	ancher	ancher	ADV
fcis-11018	43	13	-	-	PUNCT
fcis-11018	43	14	free	free	ADJ
fcis-11018	43	15	detection	detection	NOUN
fcis-11018	43	16	header	header	NOUN
fcis-11018	43	17	,	,	PUNCT
fcis-11018	43	18	and	and	CCONJ
fcis-11018	43	19	a	a	DET
fcis-11018	43	20	new	new	ADJ
fcis-11018	43	21	loss	loss	NOUN
fcis-11018	43	22	function	function	NOUN
fcis-11018	43	23	that	that	PRON
fcis-11018	43	24	can	can	AUX
fcis-11018	43	25	run	run	VERB
fcis-11018	43	26	on	on	ADP
fcis-11018	43	27	a	a	DET
fcis-11018	43	28	variety	variety	NOUN
fcis-11018	43	29	of	of	ADP
fcis-11018	43	30	hardware	hardware	NOUN
fcis-11018	43	31	platforms	platform	NOUN
fcis-11018	43	32	from	from	ADP
fcis-11018	43	33	cpus	cpus	PROPN
fcis-11018	43	34	to	to	ADP
fcis-11018	43	35	gpus	gpus	PROPN
fcis-11018	43	36	.	.	PUNCT
fcis-11018	44	1	backbone	backbone	PROPN
fcis-11018	44	2	still	still	ADV
fcis-11018	44	3	uses	use	VERB
fcis-11018	44	4	the	the	DET
fcis-11018	44	5	csp	csp	PROPN
fcis-11018	44	6	idea	idea	NOUN
fcis-11018	44	7	,	,	PUNCT
fcis-11018	44	8	but	but	CCONJ
fcis-11018	44	9	the	the	DET
fcis-11018	44	10	c3	c3	PROPN
fcis-11018	44	11	module	module	NOUN
fcis-11018	44	12	in	in	ADP
fcis-11018	44	13	yolov5	yolov5	NOUN
fcis-11018	44	14	has	have	AUX
fcis-11018	44	15	been	be	AUX
fcis-11018	44	16	replaced	replace	VERB
fcis-11018	44	17	with	with	ADP
fcis-11018	44	18	the	the	DET
fcis-11018	44	19	c2f	c2f	NOUN
fcis-11018	44	20	module	module	NOUN
fcis-11018	44	21	to	to	PART
fcis-11018	44	22	achieve	achieve	VERB
fcis-11018	44	23	further	further	ADJ
fcis-11018	44	24	lightweight	lightweight	NOUN
fcis-11018	44	25	,	,	PUNCT
fcis-11018	44	26	while	while	SCONJ
fcis-11018	44	27	yolov8	yolov8	PROPN
fcis-11018	44	28	still	still	ADV
fcis-11018	44	29	uses	use	VERB
fcis-11018	44	30	the	the	DET
fcis-11018	44	31	sppf	sppf	ADJ
fcis-11018	44	32	module	module	NOUN
fcis-11018	44	33	used	use	VERB
fcis-11018	44	34	in	in	ADP
fcis-11018	44	35	yolov5	yolov5	NOUN
fcis-11018	44	36	and	and	CCONJ
fcis-11018	44	37	other	other	ADJ
fcis-11018	44	38	architectures	architecture	NOUN
fcis-11018	44	39	.	.	PUNCT
fcis-11018	45	1	yolov8	yolov8	NOUN
fcis-11018	45	2	still	still	ADV
fcis-11018	45	3	uses	use	VERB
fcis-11018	45	4	the	the	DET
fcis-11018	45	5	idea	idea	NOUN
fcis-11018	45	6	of	of	ADP
fcis-11018	45	7	pan	pan	NOUN
fcis-11018	45	8	,	,	PUNCT
fcis-11018	45	9	but	but	CCONJ
fcis-11018	45	10	by	by	ADP
fcis-11018	45	11	comparing	compare	VERB
fcis-11018	45	12	the	the	DET
fcis-11018	45	13	structure	structure	NOUN
fcis-11018	45	14	diagram	diagram	NOUN
fcis-11018	45	15	of	of	ADP
fcis-11018	45	16	yolov5	yolov5	NOUN
fcis-11018	45	17	and	and	CCONJ
fcis-11018	45	18	yolov8	yolov8	PROPN
fcis-11018	45	19	,	,	PUNCT
fcis-11018	45	20	it	it	PRON
fcis-11018	45	21	can	can	AUX
fcis-11018	45	22	be	be	AUX
fcis-11018	45	23	seen	see	VERB
fcis-11018	45	24	that	that	SCONJ
fcis-11018	45	25	yolov8	yolov8	NOUN
fcis-11018	45	26	deleted	delete	VERB
fcis-11018	45	27	the	the	DET
fcis-11018	45	28	convolution	convolution	NOUN
fcis-11018	45	29	structure	structure	NOUN
fcis-11018	45	30	of	of	ADP
fcis-11018	45	31	cbs	cbs	PROPN
fcis-11018	45	32	1	1	NUM
fcis-11018	45	33	*	*	SYM
fcis-11018	45	34	1	1	NUM
fcis-11018	45	35	in	in	ADP
fcis-11018	45	36	the	the	DET
fcis-11018	45	37	up	up	ADV
fcis-11018	45	38	-	-	PUNCT
fcis-11018	45	39	sampling	sample	VERB
fcis-11018	45	40	stage	stage	NOUN
fcis-11018	45	41	of	of	ADP
fcis-11018	45	42	pan	pan	NOUN
fcis-11018	45	43	-	-	ADJ
fcis-11018	45	44	fpn	fpn	NOUN
fcis-11018	45	45	in	in	ADP
fcis-11018	45	46	yolov5	yolov5	NOUN
fcis-11018	45	47	and	and	CCONJ
fcis-11018	45	48	replaced	replace	VERB
fcis-11018	45	49	the	the	DET
fcis-11018	45	50	c3	c3	PROPN
fcis-11018	45	51	module	module	NOUN
fcis-11018	45	52	with	with	ADP
fcis-11018	45	53	the	the	DET
fcis-11018	45	54	c2f	c2f	NOUN
fcis-11018	45	55	module	module	NOUN
fcis-11018	45	56	.	.	PUNCT
fcis-11018	46	1	yolov8	yolov8	PROPN
fcis-11018	46	2	uses	use	VERB
fcis-11018	46	3	vfl	vfl	PROPN
fcis-11018	46	4	loss	loss	NOUN
fcis-11018	46	5	as	as	ADP
fcis-11018	46	6	classification	classification	NOUN
fcis-11018	46	7	loss	loss	NOUN
fcis-11018	46	8	and	and	CCONJ
fcis-11018	46	9	dfl	dfl	PROPN
fcis-11018	46	10	loss	loss	NOUN
fcis-11018	46	11	+	+	CCONJ
fcis-11018	46	12	ciou	ciou	NOUN
fcis-11018	46	13	loss	loss	NOUN
fcis-11018	46	14	as	as	ADP
fcis-11018	46	15	classification	classification	NOUN
fcis-11018	46	16	loss	loss	NOUN
fcis-11018	46	17	.	.	PUNCT
fcis-11018	47	1	yolov8	yolov8	PROPN
fcis-11018	47	2	uses	use	VERB
fcis-11018	47	3	task	task	NOUN
fcis-11018	47	4	-	-	PUNCT
fcis-11018	47	5	aligned	align	VERB
fcis-11018	47	6	assigner	assigner	NOUN
fcis-11018	47	7	matching	match	VERB
fcis-11018	47	8	instead	instead	ADV
fcis-11018	47	9	of	of	ADP
fcis-11018	47	10	iou	iou	PROPN
fcis-11018	47	11	matching	matching	NOUN
fcis-11018	47	12	or	or	CCONJ
fcis-11018	47	13	single	single	ADJ
fcis-11018	47	14	-	-	PUNCT
fcis-11018	47	15	sided	sided	ADJ
fcis-11018	47	16	proportional	proportional	ADJ
fcis-11018	47	17	allocation	allocation	NOUN
fcis-11018	47	18	.	.	PUNCT
fcis-11018	48	1	compared	compare	VERB
fcis-11018	48	2	with	with	ADP
fcis-11018	48	3	spp	spp	NOUN
fcis-11018	48	4	,	,	PUNCT
fcis-11018	48	5	simple	simple	ADJ
fcis-11018	48	6	parallel	parallel	ADJ
fcis-11018	48	7	max	max	PROPN
fcis-11018	48	8	pooling	pooling	NOUN
fcis-11018	48	9	is	be	AUX
fcis-11018	48	10	changed	change	VERB
fcis-11018	48	11	to	to	PART
fcis-11018	48	12	serial	serial	VERB
fcis-11018	48	13	+	+	CCONJ
fcis-11018	48	14	parallel	parallel	ADJ
fcis-11018	48	15	.	.	PUNCT
fcis-11018	49	1	compare	compare	ADJ
fcis-11018	49	2	figure	figure	NOUN
fcis-11018	49	3	1	1	NUM
fcis-11018	49	4	(	(	PUNCT
fcis-11018	49	5	spp	spp	NOUN
fcis-11018	49	6	on	on	ADP
fcis-11018	49	7	the	the	DET
fcis-11018	49	8	left	left	NOUN
fcis-11018	49	9	,	,	PUNCT
fcis-11018	49	10	sppf	sppf	ADJ
fcis-11018	49	11	on	on	ADP
fcis-11018	49	12	the	the	DET
fcis-11018	49	13	right	right	NOUN
fcis-11018	49	14	):	):	PUNCT
fcis-11018	49	15	in	in	ADP
fcis-11018	49	16	general	general	ADJ
fcis-11018	49	17	,	,	PUNCT
fcis-11018	49	18	yolov8	yolov8	PROPN
fcis-11018	49	19	is	be	AUX
fcis-11018	49	20	a	a	DET
fcis-11018	49	21	very	very	ADV
fcis-11018	49	22	excellent	excellent	ADJ
fcis-11018	49	23	target	target	NOUN
fcis-11018	49	24	detection	detection	NOUN
fcis-11018	49	25	algorithm	algorithm	NOUN
fcis-11018	49	26	,	,	PUNCT
fcis-11018	49	27	which	which	PRON
fcis-11018	49	28	has	have	VERB
fcis-11018	49	29	the	the	DET
fcis-11018	49	30	advantages	advantage	NOUN
fcis-11018	49	31	of	of	ADP
fcis-11018	49	32	fast	fast	ADJ
fcis-11018	49	33	speed	speed	NOUN
fcis-11018	49	34	,	,	PUNCT
fcis-11018	49	35	high	high	ADJ
fcis-11018	49	36	precision	precision	NOUN
fcis-11018	49	37	and	and	CCONJ
fcis-11018	49	38	strong	strong	ADJ
fcis-11018	49	39	robustness	robustness	NOUN
fcis-11018	49	40	,	,	PUNCT
fcis-11018	49	41	and	and	CCONJ
fcis-11018	49	42	has	have	AUX
fcis-11018	49	43	been	be	AUX
fcis-11018	49	44	widely	widely	ADV
fcis-11018	49	45	used	use	VERB
fcis-11018	49	46	in	in	ADP
fcis-11018	49	47	many	many	ADJ
fcis-11018	49	48	practical	practical	ADJ
fcis-11018	49	49	applications	application	NOUN
fcis-11018	49	50	.	.	PUNCT
fcis-11018	50	1	therefore	therefore	ADV
fcis-11018	50	2	,	,	PUNCT
fcis-11018	50	3	this	this	DET
fcis-11018	50	4	paper	paper	NOUN
fcis-11018	50	5	chooses	choose	VERB
fcis-11018	50	6	yolov8	yolov8	NOUN
fcis-11018	50	7	as	as	ADP
fcis-11018	50	8	the	the	DET
fcis-11018	50	9	algorithm	algorithm	NOUN
fcis-11018	50	10	of	of	ADP
fcis-11018	50	11	fish	fish	NOUN
fcis-11018	50	12	abnormal	abnormal	ADJ
fcis-11018	50	13	behavior	behavior	NOUN
fcis-11018	50	14	detection	detection	NOUN
fcis-11018	50	15	model	model	NOUN
fcis-11018	50	16	.	.	PUNCT
fcis-11018	51	1	figure	figure	NOUN
fcis-11018	51	2	1	1	NUM
fcis-11018	51	3	.	.	PUNCT
fcis-11018	51	4	comparison	comparison	NOUN
fcis-11018	51	5	of	of	ADP
fcis-11018	51	6	spp	spp	NOUN
fcis-11018	51	7	and	and	CCONJ
fcis-11018	51	8	sppf	sppf	ADJ
fcis-11018	51	9	structures	structure	NOUN
fcis-11018	51	10	2.2	2.2	NUM
fcis-11018	51	11	.	.	PUNCT
fcis-11018	52	1	deep	deep	ADJ
fcis-11018	52	2	sort	sort	ADJ
fcis-11018	52	3	multi	multi	ADJ
fcis-11018	52	4	-	-	ADJ
fcis-11018	52	5	target	target	ADJ
fcis-11018	52	6	tracking	tracking	NOUN
fcis-11018	52	7	algorithm	algorithm	NOUN
fcis-11018	52	8	multi	multi	ADJ
fcis-11018	52	9	-	-	NOUN
fcis-11018	52	10	target	target	ADJ
fcis-11018	52	11	tracking	tracking	NOUN
fcis-11018	52	12	is	be	AUX
fcis-11018	52	13	the	the	DET
fcis-11018	52	14	task	task	NOUN
fcis-11018	52	15	of	of	ADP
fcis-11018	52	16	tracking	track	VERB
fcis-11018	52	17	multiple	multiple	ADJ
fcis-11018	52	18	targets	target	NOUN
fcis-11018	52	19	simultaneously	simultaneously	ADV
fcis-11018	52	20	in	in	ADP
fcis-11018	52	21	a	a	DET
fcis-11018	52	22	video	video	NOUN
fcis-11018	52	23	.	.	PUNCT
fcis-11018	53	1	at	at	ADP
fcis-11018	53	2	present	present	ADJ
fcis-11018	53	3	,	,	PUNCT
fcis-11018	53	4	deep	deep	ADJ
fcis-11018	53	5	sort	sort	NOUN
fcis-11018	53	6	algorithm	algorithm	NOUN
fcis-11018	53	7	is	be	AUX
fcis-11018	53	8	mainly	mainly	ADV
fcis-11018	53	9	popular	popular	ADJ
fcis-11018	53	10	in	in	ADP
fcis-11018	53	11	industry	industry	NOUN
fcis-11018	53	12	,	,	PUNCT
fcis-11018	53	13	which	which	PRON
fcis-11018	53	14	uses	use	VERB
fcis-11018	53	15	the	the	DET
fcis-11018	53	16	principles	principle	NOUN
fcis-11018	53	17	of	of	ADP
fcis-11018	53	18	mahalanobis	mahalanobis	ADJ
fcis-11018	53	19	distance	distance	NOUN
fcis-11018	53	20	,	,	PUNCT
fcis-11018	53	21	hungarian	hungarian	ADJ
fcis-11018	53	22	algorithm	algorithm	NOUN
fcis-11018	53	23	and	and	CCONJ
fcis-11018	53	24	kalman	kalman	PROPN
fcis-11018	53	25	filter	filter	PROPN
fcis-11018	53	26	.	.	PUNCT
fcis-11018	54	1	mahalanobis	mahalanobis	ADJ
fcis-11018	54	2	distance	distance	NOUN
fcis-11018	54	3	:	:	PUNCT
fcis-11018	54	4	a	a	DET
fcis-11018	54	5	method	method	NOUN
fcis-11018	54	6	used	use	VERB
fcis-11018	54	7	to	to	PART
fcis-11018	54	8	calculate	calculate	VERB
fcis-11018	54	9	the	the	DET
fcis-11018	54	10	similarity	similarity	NOUN
fcis-11018	54	11	of	of	ADP
fcis-11018	54	12	two	two	NUM
fcis-11018	54	13	unknown	unknown	ADJ
fcis-11018	54	14	sample	sample	NOUN
fcis-11018	54	15	sets	set	NOUN
fcis-11018	54	16	.	.	PUNCT
fcis-11018	55	1	hungarian	hungarian	ADJ
fcis-11018	55	2	algorithm	algorithm	NOUN
fcis-11018	55	3	:	:	PUNCT
fcis-11018	55	4	the	the	DET
fcis-11018	55	5	target	target	NOUN
fcis-11018	55	6	is	be	AUX
fcis-11018	55	7	associated	associate	VERB
fcis-11018	55	8	with	with	ADP
fcis-11018	55	9	the	the	DET
fcis-11018	55	10	detection	detection	NOUN
fcis-11018	55	11	frame	frame	NOUN
fcis-11018	55	12	based	base	VERB
fcis-11018	55	13	on	on	ADP
fcis-11018	55	14	the	the	DET
fcis-11018	55	15	similarity	similarity	NOUN
fcis-11018	55	16	matrix	matrix	NOUN
fcis-11018	55	17	of	of	ADP
fcis-11018	55	18	the	the	DET
fcis-11018	55	19	two	two	NUM
fcis-11018	55	20	frames	frame	NOUN
fcis-11018	55	21	.	.	PUNCT
fcis-11018	56	1	kalman	kalman	PROPN
fcis-11018	56	2	filtering	filtering	PROPN
fcis-11018	56	3	:	:	PUNCT
fcis-11018	56	4	predicts	predict	NOUN
fcis-11018	56	5	and	and	CCONJ
fcis-11018	56	6	follows	follow	VERB
fcis-11018	56	7	the	the	DET
fcis-11018	56	8	position	position	NOUN
fcis-11018	56	9	of	of	ADP
fcis-11018	56	10	new	new	ADJ
fcis-11018	56	11	targets	target	NOUN
fcis-11018	56	12	.	.	PUNCT
fcis-11018	57	1	the	the	DET
fcis-11018	57	2	sort	sort	NOUN
fcis-11018	57	3	tracking	track	VERB
fcis-11018	57	4	algorithm	algorithm	NOUN
fcis-11018	57	5	flow	flow	NOUN
fcis-11018	57	6	is	be	AUX
fcis-11018	57	7	as	as	SCONJ
fcis-11018	57	8	follows	follow	VERB
fcis-11018	57	9	:	:	PUNCT
fcis-11018	57	10	1)the	1)the	DET
fcis-11018	57	11	detector	detector	NOUN
fcis-11018	57	12	obtains	obtain	VERB
fcis-11018	57	13	the	the	DET
fcis-11018	57	14	check	check	NOUN
fcis-11018	57	15	object	object	NOUN
fcis-11018	57	16	in	in	ADP
fcis-11018	57	17	the	the	DET
fcis-11018	57	18	current	current	ADJ
fcis-11018	57	19	frame	frame	NOUN
fcis-11018	57	20	.	.	PUNCT
fcis-11018	58	1	2)using	2)using	NUM
fcis-11018	58	2	kalman	kalman	NOUN
fcis-11018	58	3	filter	filter	NOUN
fcis-11018	58	4	to	to	PART
fcis-11018	58	5	predict	predict	VERB
fcis-11018	58	6	tracking	tracking	NOUN
fcis-11018	58	7	objects	object	NOUN
fcis-11018	58	8	in	in	ADP
fcis-11018	58	9	past	past	ADJ
fcis-11018	58	10	frames	frame	NOUN
fcis-11018	58	11	.	.	PUNCT
fcis-11018	59	1	3)calculate	3)calculate	NUM
fcis-11018	59	2	the	the	DET
fcis-11018	59	3	iou	iou	NOUN
fcis-11018	59	4	similarity	similarity	NOUN
fcis-11018	59	5	matrix	matrix	NOUN
fcis-11018	59	6	of	of	ADP
fcis-11018	59	7	the	the	DET
fcis-11018	59	8	predicted	predict	VERB
fcis-11018	59	9	bbox	bbox	NOUN
fcis-11018	59	10	of	of	ADP
fcis-11018	59	11	the	the	DET
fcis-11018	59	12	tracking	tracking	NOUN
fcis-11018	59	13	object	object	NOUN
fcis-11018	59	14	and	and	CCONJ
fcis-11018	59	15	the	the	DET
fcis-11018	59	16	detected	detect	VERB
fcis-11018	59	17	object	object	NOUN
fcis-11018	59	18	box	box	NOUN
fcis-11018	59	19	.	.	PUNCT
fcis-11018	60	1	4)using	4)use	VERB
fcis-11018	60	2	the	the	DET
fcis-11018	60	3	hungarian	hungarian	ADJ
fcis-11018	60	4	algorithm	algorithm	NOUN
fcis-11018	60	5	to	to	PART
fcis-11018	60	6	find	find	VERB
fcis-11018	60	7	the	the	DET
fcis-11018	60	8	best	good	ADJ
fcis-11018	60	9	match	match	NOUN
fcis-11018	60	10	.	.	PUNCT
fcis-11018	61	1	5)kalman	5)kalman	NUM
fcis-11018	61	2	filter	filter	NOUN
fcis-11018	61	3	update	update	NOUN
fcis-11018	61	4	.	.	PUNCT
fcis-11018	62	1	the	the	DET
fcis-11018	62	2	optimization	optimization	NOUN
fcis-11018	62	3	of	of	ADP
fcis-11018	62	4	deep	deep	ADJ
fcis-11018	62	5	sort	sort	NOUN
fcis-11018	62	6	compared	compare	VERB
fcis-11018	62	7	to	to	AUX
fcis-11018	62	8	sort	sort	ADV
fcis-11018	62	9	is	be	AUX
fcis-11018	62	10	as	as	SCONJ
fcis-11018	62	11	follows	follow	VERB
fcis-11018	62	12	:	:	PUNCT
fcis-11018	62	13	the	the	DET
fcis-11018	62	14	appearance	appearance	NOUN
fcis-11018	62	15	matching	matching	NOUN
fcis-11018	62	16	degree	degree	NOUN
fcis-11018	62	17	and	and	CCONJ
fcis-11018	62	18	distance	distance	NOUN
fcis-11018	62	19	matching	matching	NOUN
fcis-11018	62	20	degree	degree	NOUN
fcis-11018	62	21	are	be	AUX
fcis-11018	62	22	increased	increase	VERB
fcis-11018	62	23	instead	instead	ADV
fcis-11018	62	24	of	of	ADP
fcis-11018	62	25	the	the	DET
fcis-11018	62	26	iou	iou	NOUN
fcis-11018	62	27	matching	matching	NOUN
fcis-11018	62	28	degree	degree	NOUN
fcis-11018	62	29	in	in	ADP
fcis-11018	62	30	sort	sort	ADJ
fcis-11018	62	31	algorithm	algorithm	NOUN
fcis-11018	62	32	.	.	PUNCT
fcis-11018	63	1	the	the	DET
fcis-11018	63	2	matching	matching	NOUN
fcis-11018	63	3	cascade	cascade	NOUN
fcis-11018	63	4	method	method	NOUN
fcis-11018	63	5	is	be	AUX
fcis-11018	63	6	introduced	introduce	VERB
fcis-11018	63	7	to	to	PART
fcis-11018	63	8	carry	carry	VERB
fcis-11018	63	9	out	out	ADP
fcis-11018	63	10	feature	feature	NOUN
fcis-11018	63	11	matching	matching	NOUN
fcis-11018	63	12	,	,	PUNCT
fcis-11018	63	13	which	which	PRON
fcis-11018	63	14	improves	improve	VERB
fcis-11018	63	15	the	the	DET
fcis-11018	63	16	tracking	tracking	NOUN
fcis-11018	63	17	effect	effect	NOUN
fcis-11018	63	18	of	of	ADP
fcis-11018	63	19	targets	target	NOUN
fcis-11018	63	20	with	with	ADP
fcis-11018	63	21	occlusions	occlusion	NOUN
fcis-11018	63	22	.	.	PUNCT
fcis-11018	64	1	reduced	reduce	VERB
fcis-11018	64	2	target	target	NOUN
fcis-11018	64	3	i	i	X
fcis-11018	64	4	d	d	NOUN
fcis-11018	64	5	hopping	hop	VERB
fcis-11018	64	6	issues	issue	NOUN
fcis-11018	64	7	.	.	PUNCT
fcis-11018	65	1	in	in	ADP
fcis-11018	65	2	deep	deep	ADJ
fcis-11018	65	3	sort	sort	NOUN
fcis-11018	65	4	,	,	PUNCT
fcis-11018	65	5	when	when	SCONJ
fcis-11018	65	6	frame	frame	NOUN
fcis-11018	65	7	t	t	PROPN
fcis-11018	65	8	is	be	AUX
fcis-11018	65	9	detected	detect	VERB
fcis-11018	65	10	,	,	PUNCT
fcis-11018	65	11	a	a	DET
fcis-11018	65	12	reid	reid	PROPN
fcis-11018	65	13	extraction	extraction	NOUN
fcis-11018	65	14	network	network	NOUN
fcis-11018	65	15	is	be	AUX
fcis-11018	65	16	used	use	VERB
fcis-11018	65	17	to	to	PART
fcis-11018	65	18	extract	extract	VERB
fcis-11018	65	19	reid	reid	PROPN
fcis-11018	65	20	features	feature	VERB
fcis-11018	65	21	from	from	ADP
fcis-11018	65	22	the	the	DET
fcis-11018	65	23	detection	detection	NOUN
fcis-11018	65	24	target	target	NOUN
fcis-11018	65	25	obtained	obtain	VERB
fcis-11018	65	26	by	by	ADP
fcis-11018	65	27	the	the	DET
fcis-11018	65	28	target	target	NOUN
fcis-11018	65	29	detection	detection	NOUN
fcis-11018	65	30	algorithm	algorithm	NOUN
fcis-11018	65	31	.	.	PUNCT
fcis-11018	66	1	then	then	ADV
fcis-11018	66	2	,	,	PUNCT
fcis-11018	66	3	the	the	DET
fcis-11018	66	4	cascaded	cascade	VERB
fcis-11018	66	5	matching	matching	NOUN
fcis-11018	66	6	between	between	ADP
fcis-11018	66	7	the	the	DET
fcis-11018	66	8	confirmed	confirm	VERB
fcis-11018	66	9	trace	trace	NOUN
fcis-11018	66	10	object	object	NOUN
fcis-11018	66	11	and	and	CCONJ
fcis-11018	66	12	the	the	DET
fcis-11018	66	13	detection	detection	NOUN
fcis-11018	66	14	object	object	NOUN
fcis-11018	66	15	is	be	AUX
fcis-11018	66	16	performed	perform	VERB
fcis-11018	66	17	to	to	PART
fcis-11018	66	18	obtain	obtain	VERB
fcis-11018	66	19	the	the	DET
fcis-11018	66	20	reid	reid	PROPN
fcis-11018	66	21	feature	feature	PROPN
fcis-11018	66	22	matching	matching	NOUN
fcis-11018	66	23	result	result	NOUN
fcis-11018	66	24	.	.	PUNCT
fcis-11018	67	1	the	the	DET
fcis-11018	67	2	unmatched	unmatched	ADJ
fcis-11018	67	3	time_since_update	time_since_update	NOUN
fcis-11018	67	4	value	value	NOUN
fcis-11018	67	5	is	be	AUX
fcis-11018	67	6	1	1	NUM
fcis-11018	67	7	and	and	CCONJ
fcis-11018	67	8	the	the	DET
fcis-11018	67	9	unconfirmed	unconfirmed	ADJ
fcis-11018	67	10	trace	trace	NOUN
fcis-11018	67	11	object	object	NOUN
fcis-11018	67	12	is	be	AUX
fcis-11018	67	13	matched	match	VERB
fcis-11018	67	14	with	with	ADP
fcis-11018	67	15	the	the	DET
fcis-11018	67	16	unmatched	unmatched	ADJ
fcis-11018	67	17	detection	detection	NOUN
fcis-11018	67	18	object	object	NOUN
fcis-11018	67	19	.	.	PUNCT
fcis-11018	68	1	the	the	DET
fcis-11018	68	2	final	final	ADJ
fcis-11018	68	3	matching	matching	NOUN
fcis-11018	68	4	result	result	NOUN
fcis-11018	68	5	is	be	AUX
fcis-11018	68	6	obtained	obtain	VERB
fcis-11018	68	7	,	,	PUNCT
fcis-11018	68	8	and	and	CCONJ
fcis-11018	68	9	the	the	DET
fcis-11018	68	10	matched	match	VERB
fcis-11018	68	11	object	object	NOUN
fcis-11018	68	12	is	be	AUX
fcis-11018	68	13	updated	update	VERB
fcis-11018	68	14	by	by	ADP
fcis-11018	68	15	kalman	kalman	PROPN
fcis-11018	68	16	to	to	PART
fcis-11018	68	17	get	get	VERB
fcis-11018	68	18	the	the	DET
fcis-11018	68	19	final	final	ADJ
fcis-11018	68	20	bbox	bbox	NOUN
fcis-11018	68	21	.	.	PUNCT
fcis-11018	69	1	2.3	2.3	NUM
fcis-11018	69	2	.	.	PUNCT
fcis-11018	69	3	improvement	improvement	NOUN
fcis-11018	69	4	of	of	ADP
fcis-11018	69	5	iou	iou	PROPN
fcis-11018	69	6	loss	loss	NOUN
fcis-11018	69	7	function	function	NOUN
fcis-11018	69	8	in	in	ADP
fcis-11018	69	9	the	the	DET
fcis-11018	69	10	original	original	ADJ
fcis-11018	69	11	yolov8	yolov8	NOUN
fcis-11018	69	12	model	model	NOUN
fcis-11018	69	13	,	,	PUNCT
fcis-11018	69	14	ciou	ciou	NOUN
fcis-11018	69	15	was	be	AUX
fcis-11018	69	16	used	use	VERB
fcis-11018	69	17	as	as	ADP
fcis-11018	69	18	the	the	DET
fcis-11018	69	19	loss	loss	NOUN
fcis-11018	69	20	function	function	NOUN
fcis-11018	69	21	of	of	ADP
fcis-11018	69	22	detection	detection	NOUN
fcis-11018	69	23	frame	frame	NOUN
fcis-11018	69	24	regression	regression	NOUN
fcis-11018	69	25	,	,	PUNCT
fcis-11018	69	26	and	and	CCONJ
fcis-11018	69	27	the	the	DET
fcis-11018	69	28	overlapping	overlap	VERB
fcis-11018	69	29	area	area	NOUN
fcis-11018	69	30	,	,	PUNCT
fcis-11018	69	31	center	center	NOUN
fcis-11018	69	32	point	point	NOUN
fcis-11018	69	33	distance	distance	NOUN
fcis-11018	69	34	and	and	CCONJ
fcis-11018	69	35	aspect	aspect	VERB
fcis-11018	69	36	ratio	ratio	NOUN
fcis-11018	69	37	of	of	ADP
fcis-11018	69	38	prediction	prediction	NOUN
fcis-11018	69	39	frame	frame	NOUN
fcis-11018	69	40	and	and	CCONJ
fcis-11018	69	41	real	real	ADJ
fcis-11018	69	42	frame	frame	NOUN
fcis-11018	69	43	in	in	ADP
fcis-11018	69	44	boundary	boundary	ADJ
fcis-11018	69	45	frame	frame	NOUN
fcis-11018	69	46	regression	regression	NOUN
fcis-11018	69	47	were	be	AUX
fcis-11018	69	48	considered	consider	VERB
fcis-11018	69	49	{	{	PUNCT
fcis-11018	69	50	(	(	PUNCT
fcis-11018	69	51	w	w	PROPN
fcis-11018	69	52	=	=	PUNCT
fcis-11018	69	53	kwgt	kwgt	NOUN
fcis-11018	69	54	,	,	PUNCT
fcis-11018	69	55	h	h	NOUN
fcis-11018	69	56	=	=	PUNCT
fcis-11018	69	57	khgt	khgt	NOUN
fcis-11018	69	58	)	)	PUNCT
fcis-11018	69	59	k	k	NOUN
fcis-11018	70	1	∈r	∈r	ADJ
fcis-11018	70	2	+	+	ADJ
fcis-11018	70	3	}	}	PUNCT
fcis-11018	70	4	.	.	PUNCT
fcis-11018	71	1	(	(	PUNCT
fcis-11018	71	2	1	1	X
fcis-11018	71	3	)	)	PUNCT
fcis-11018	71	4	where	where	SCONJ
fcis-11018	71	5	:	:	PUNCT
fcis-11018	71	6	w	w	NOUN
fcis-11018	71	7	and	and	CCONJ
fcis-11018	71	8	h	h	NOUN
fcis-11018	71	9	are	be	AUX
fcis-11018	71	10	the	the	DET
fcis-11018	71	11	width	width	ADJ
fcis-11018	71	12	and	and	CCONJ
fcis-11018	71	13	height	height	NOUN
fcis-11018	71	14	of	of	ADP
fcis-11018	71	15	the	the	DET
fcis-11018	71	16	prediction	prediction	NOUN
fcis-11018	71	17	box	box	NOUN
fcis-11018	71	18	respectively	respectively	ADV
fcis-11018	71	19	;	;	PUNCT
fcis-11018	71	20	wgt	wgt	PROPN
fcis-11018	71	21	and	and	CCONJ
fcis-11018	71	22	hgt	hgt	PROPN
fcis-11018	71	23	are	be	AUX
fcis-11018	71	24	the	the	DET
fcis-11018	71	25	width	width	NOUN
fcis-11018	71	26	and	and	CCONJ
fcis-11018	71	27	height	height	NOUN
fcis-11018	71	28	of	of	ADP
fcis-11018	71	29	the	the	DET
fcis-11018	71	30	real	real	ADJ
fcis-11018	71	31	box	box	NOUN
fcis-11018	71	32	,	,	PUNCT
fcis-11018	71	33	respectively	respectively	ADV
fcis-11018	71	34	.	.	PUNCT
fcis-11018	72	1	the	the	DET
fcis-11018	72	2	aspect	aspect	NOUN
fcis-11018	72	3	ratio	ratio	NOUN
fcis-11018	72	4	in	in	ADP
fcis-11018	72	5	formula	formula	NOUN
fcis-11018	72	6	(	(	PUNCT
fcis-11018	72	7	1	1	NUM
fcis-11018	72	8	)	)	PUNCT
fcis-11018	72	9	only	only	ADV
fcis-11018	72	10	reflects	reflect	VERB
fcis-11018	72	11	the	the	DET
fcis-11018	72	12	ratio	ratio	NOUN
fcis-11018	72	13	relationship	relationship	NOUN
fcis-11018	72	14	between	between	ADP
fcis-11018	72	15	the	the	DET
fcis-11018	72	16	width	width	NOUN
fcis-11018	72	17	or	or	CCONJ
fcis-11018	72	18	height	height	NOUN
fcis-11018	72	19	of	of	ADP
fcis-11018	72	20	the	the	DET
fcis-11018	72	21	prediction	prediction	NOUN
fcis-11018	72	22	box	box	NOUN
fcis-11018	72	23	and	and	CCONJ
fcis-11018	72	24	the	the	DET
fcis-11018	72	25	real	real	ADJ
fcis-11018	72	26	box	box	NOUN
fcis-11018	72	27	.	.	PUNCT
fcis-11018	73	1	when	when	SCONJ
fcis-11018	73	2	the	the	DET
fcis-11018	73	3	aspect	aspect	NOUN
fcis-11018	73	4	ratio	ratio	NOUN
fcis-11018	73	5	between	between	ADP
fcis-11018	73	6	different	different	ADJ
fcis-11018	73	7	prediction	prediction	NOUN
fcis-11018	73	8	boxes	box	NOUN
fcis-11018	73	9	and	and	CCONJ
fcis-11018	73	10	the	the	DET
fcis-11018	73	11	real	real	ADJ
fcis-11018	73	12	box	box	NOUN
fcis-11018	73	13	is	be	AUX
fcis-11018	73	14	the	the	DET
fcis-11018	73	15	same	same	ADJ
fcis-11018	73	16	,	,	PUNCT
fcis-11018	73	17	the	the	DET
fcis-11018	73	18	calculation	calculation	NOUN
fcis-11018	73	19	result	result	NOUN
fcis-11018	73	20	of	of	ADP
fcis-11018	73	21	ciou	ciou	NOUN
fcis-11018	73	22	is	be	AUX
fcis-11018	73	23	the	the	DET
fcis-11018	73	24	same	same	ADJ
fcis-11018	73	25	.	.	PUNCT
fcis-11018	74	1	to	to	PART
fcis-11018	74	2	solve	solve	VERB
fcis-11018	74	3	this	this	DET
fcis-11018	74	4	problem	problem	NOUN
fcis-11018	74	5	,	,	PUNCT
fcis-11018	74	6	siou	siou	VERB
fcis-11018	74	7	[	[	X
fcis-11018	74	8	23	23	NUM
fcis-11018	74	9	]	]	PUNCT
fcis-11018	74	10	was	be	AUX
fcis-11018	74	11	used	use	VERB
fcis-11018	74	12	as	as	ADP
fcis-11018	74	13	the	the	DET
fcis-11018	74	14	detection	detection	NOUN
fcis-11018	74	15	frame	frame	NOUN
fcis-11018	74	16	regression	regression	NOUN
fcis-11018	74	17	loss	loss	NOUN
fcis-11018	74	18	function	function	NOUN
fcis-11018	74	19	in	in	ADP
fcis-11018	74	20	this	this	DET
fcis-11018	74	21	study	study	NOUN
fcis-11018	74	22	.	.	PUNCT
fcis-11018	75	1	siou	siou	PROPN
fcis-11018	75	2	redefines	redefine	VERB
fcis-11018	75	3	the	the	DET
fcis-11018	75	4	penalty	penalty	NOUN
fcis-11018	75	5	index	index	NOUN
fcis-11018	75	6	considering	consider	VERB
fcis-11018	75	7	the	the	DET
fcis-11018	75	8	vector	vector	NOUN
fcis-11018	75	9	angle	angle	NOUN
fcis-11018	75	10	between	between	ADP
fcis-11018	75	11	the	the	DET
fcis-11018	75	12	required	required	ADJ
fcis-11018	75	13	regression	regression	NOUN
fcis-11018	75	14	.	.	PUNCT
fcis-11018	76	1	siou	siou	PROPN
fcis-11018	76	2	loss	loss	NOUN
fcis-11018	76	3	(	(	PUNCT
fcis-11018	76	4	usio	usio	NOUN
fcis-11018	76	5	)	)	PUNCT
fcis-11018	76	6	includes	include	VERB
fcis-11018	76	7	distance	distance	NOUN
fcis-11018	76	8	loss	loss	NOUN
fcis-11018	76	9	δ	δ	PROPN
fcis-11018	76	10	,	,	PUNCT
fcis-11018	76	11	shape	shape	VERB
fcis-11018	76	12	loss	loss	NOUN
fcis-11018	76	13	ω	ω	NOUN
fcis-11018	76	14	and	and	CCONJ
fcis-11018	76	15	iou	iou	PROPN
fcis-11018	76	16	loss	loss	NOUN
fcis-11018	76	17	(	(	PUNCT
fcis-11018	76	18	uio	uio	PROPN
fcis-11018	76	19	)	)	PUNCT
fcis-11018	76	20	,	,	PUNCT
fcis-11018	76	21	and	and	CCONJ
fcis-11018	76	22	its	its	PRON
fcis-11018	76	23	calculation	calculation	NOUN
fcis-11018	76	24	formula	formula	NOUN
fcis-11018	76	25	is	be	AUX
fcis-11018	76	26	as	as	SCONJ
fcis-11018	76	27	follows	follow	VERB
fcis-11018	76	28	usio	usio	NOUN
fcis-11018	76	29	=	=	SYM
fcis-11018	76	30	uio	uio	PROPN
fcis-11018	76	31	(	(	PUNCT
fcis-11018	76	32	δ+ω	δ+ω	PROPN
fcis-11018	76	33	)	)	PUNCT
fcis-11018	76	34	/	/	SYM
fcis-11018	77	1	2	2	NUM
fcis-11018	77	2	.	.	PUNCT
fcis-11018	77	3	(	(	PUNCT
fcis-11018	77	4	2	2	NUM
fcis-11018	77	5	)	)	PUNCT
fcis-11018	77	6	3	3	NUM
fcis-11018	77	7	.	.	X
fcis-11018	77	8	experiment	experiment	NOUN
fcis-11018	77	9	3.1	3.1	NUM
fcis-11018	77	10	.	.	PUNCT
fcis-11018	78	1	prepare	prepare	VERB
fcis-11018	78	2	the	the	DET
fcis-11018	78	3	required	require	VERB
fcis-11018	78	4	materials	material	NOUN
fcis-11018	78	5	the	the	DET
fcis-11018	78	6	experimental	experimental	ADJ
fcis-11018	78	7	animals	animal	NOUN
fcis-11018	78	8	selected	select	VERB
fcis-11018	78	9	for	for	ADP
fcis-11018	78	10	this	this	DET
fcis-11018	78	11	experiment	experiment	NOUN
fcis-11018	78	12	have	have	VERB
fcis-11018	78	13	strong	strong	ADJ
fcis-11018	78	14	vitality	vitality	NOUN
fcis-11018	78	15	and	and	CCONJ
fcis-11018	78	16	can	can	AUX
fcis-11018	78	17	live	live	VERB
fcis-11018	78	18	in	in	ADP
fcis-11018	78	19	zhanjiang	zhanjiang	PROPN
fcis-11018	78	20	bay	bay	PROPN
fcis-11018	78	21	laboratory	laboratory	PROPN
fcis-11018	78	22	for	for	ADP
fcis-11018	78	23	half	half	DET
fcis-11018	78	24	a	a	PRON
fcis-11018	78	25	year	year	NOUN
fcis-11018	78	26	(	(	PUNCT
fcis-11018	78	27	no	no	PRON
fcis-11018	78	28	more	more	ADJ
fcis-11018	78	29	than	than	ADP
fcis-11018	78	30	half	half	DET
fcis-11018	78	31	a	a	PRON
fcis-11018	78	32	month	month	NOUN
fcis-11018	78	33	before	before	ADV
fcis-11018	78	34	and	and	CCONJ
fcis-11018	78	35	after	after	ADP
fcis-11018	78	36	)	)	PUNCT
fcis-11018	78	37	to	to	PART
fcis-11018	78	38	ensure	ensure	VERB
fcis-11018	78	39	the	the	DET
fcis-11018	78	40	activity	activity	NOUN
fcis-11018	78	41	and	and	CCONJ
fcis-11018	78	42	health	health	NOUN
fcis-11018	78	43	of	of	ADP
fcis-11018	78	44	the	the	DET
fcis-11018	78	45	experimental	experimental	ADJ
fcis-11018	78	46	fish	fish	NOUN
fcis-11018	78	47	.	.	PUNCT
fcis-11018	79	1	will	will	AUX
fcis-11018	79	2	not	not	PART
fcis-11018	79	3	die	die	VERB
fcis-11018	79	4	during	during	ADP
fcis-11018	79	5	the	the	DET
fcis-11018	79	6	experiment	experiment	NOUN
fcis-11018	79	7	,	,	PUNCT
fcis-11018	79	8	resulting	result	VERB
fcis-11018	79	9	in	in	ADP
fcis-11018	79	10	the	the	DET
fcis-11018	79	11	loss	loss	NOUN
fcis-11018	79	12	of	of	ADP
fcis-11018	79	13	the	the	DET
fcis-11018	79	14	experiment	experiment	NOUN
fcis-11018	79	15	.	.	PUNCT
fcis-11018	80	1	the	the	DET
fcis-11018	80	2	experiment	experiment	NOUN
fcis-11018	80	3	platform	platform	NOUN
fcis-11018	80	4	consists	consist	VERB
fcis-11018	80	5	of	of	ADP
fcis-11018	80	6	two	two	NUM
fcis-11018	80	7	parts	part	NOUN
fcis-11018	80	8	.	.	PUNCT
fcis-11018	81	1	the	the	DET
fcis-11018	81	2	first	first	ADJ
fcis-11018	81	3	part	part	NOUN
fcis-11018	81	4	is	be	AUX
fcis-11018	81	5	a	a	DET
fcis-11018	81	6	fish	fish	NOUN
fcis-11018	81	7	pond	pond	NOUN
fcis-11018	81	8	with	with	ADP
fcis-11018	81	9	water	water	NOUN
fcis-11018	81	10	filtration	filtration	NOUN
fcis-11018	81	11	function	function	NOUN
fcis-11018	81	12	and	and	CCONJ
fcis-11018	81	13	oxygen	oxygen	NOUN
fcis-11018	81	14	supply	supply	NOUN
fcis-11018	81	15	function	function	NOUN
fcis-11018	81	16	.	.	PUNCT
fcis-11018	82	1	the	the	DET
fcis-11018	82	2	water	water	NOUN
fcis-11018	82	3	is	be	AUX
fcis-11018	82	4	the	the	DET
fcis-11018	82	5	tap	tap	NOUN
fcis-11018	82	6	water	water	NOUN
fcis-11018	82	7	of	of	ADP
fcis-11018	82	8	zhanjiang	zhanjiang	PROPN
fcis-11018	82	9	bay	bay	PROPN
fcis-11018	82	10	experiment	experiment	NOUN
fcis-11018	82	11	,	,	PUNCT
fcis-11018	82	12	and	and	CCONJ
fcis-11018	82	13	the	the	DET
fcis-11018	82	14	water	water	NOUN
fcis-11018	82	15	quality	quality	NOUN
fcis-11018	82	16	is	be	AUX
fcis-11018	82	17	in	in	ADP
fcis-11018	82	18	accordance	accordance	NOUN
fcis-11018	82	19	with	with	ADP
fcis-11018	82	20	the	the	DET
fcis-11018	82	21	municipal	municipal	ADJ
fcis-11018	82	22	water	water	NOUN
fcis-11018	82	23	standard	standard	NOUN
fcis-11018	82	24	.	.	PUNCT
fcis-11018	83	1	the	the	DET
fcis-11018	83	2	water	water	NOUN
fcis-11018	83	3	temperature	temperature	NOUN
fcis-11018	83	4	is	be	AUX
fcis-11018	83	5	controlled	control	VERB
fcis-11018	83	6	at	at	ADP
fcis-11018	83	7	19	19	NUM
fcis-11018	83	8	degrees	degree	NOUN
fcis-11018	83	9	celsius	celsius	NOUN
fcis-11018	83	10	(	(	PUNCT
fcis-11018	83	11	up	up	ADV
fcis-11018	83	12	or	or	CCONJ
fcis-11018	83	13	down	down	ADV
fcis-11018	83	14	no	no	DET
fcis-11018	83	15	more	more	ADJ
fcis-11018	83	16	than	than	ADP
fcis-11018	83	17	1	1	NUM
fcis-11018	83	18	degree	degree	NOUN
fcis-11018	83	19	celsius	celsius	NOUN
fcis-11018	83	20	)	)	PUNCT
fcis-11018	83	21	and	and	CCONJ
fcis-11018	83	22	the	the	DET
fcis-11018	83	23	ph	ph	ADJ
fcis-11018	83	24	value	value	NOUN
fcis-11018	83	25	is	be	AUX
fcis-11018	83	26	7.1	7.1	NUM
fcis-11018	83	27	(	(	PUNCT
fcis-11018	83	28	up	up	ADP
fcis-11018	83	29	or	or	CCONJ
fcis-11018	83	30	down	down	ADV
fcis-11018	83	31	no	no	PRON
fcis-11018	83	32	more	more	ADJ
fcis-11018	83	33	than	than	ADP
fcis-11018	83	34	0.2	0.2	NUM
fcis-11018	83	35	)	)	PUNCT
fcis-11018	83	36	.	.	PUNCT
fcis-11018	84	1	the	the	DET
fcis-11018	84	2	second	second	ADJ
fcis-11018	84	3	part	part	NOUN
fcis-11018	84	4	is	be	AUX
fcis-11018	84	5	the	the	DET
fcis-11018	84	6	information	information	NOUN
fcis-11018	84	7	acquisition	acquisition	NOUN
fcis-11018	84	8	system	system	NOUN
fcis-11018	84	9	,	,	PUNCT
fcis-11018	84	10	using	use	VERB
fcis-11018	84	11	a	a	DET
fcis-11018	84	12	network	network	NOUN
fcis-11018	84	13	camera	camera	NOUN
fcis-11018	84	14	,	,	PUNCT
fcis-11018	84	15	when	when	SCONJ
fcis-11018	84	16	recording	recording	NOUN
fcis-11018	84	17	video	video	NOUN
fcis-11018	84	18	,	,	PUNCT
fcis-11018	84	19	the	the	DET
fcis-11018	84	20	frame	frame	NOUN
fcis-11018	84	21	rate	rate	NOUN
fcis-11018	84	22	is	be	AUX
fcis-11018	84	23	24fps	24fps	NOUN
fcis-11018	84	24	(	(	PUNCT
fcis-11018	84	25	1280	1280	NUM
fcis-11018	84	26	*	*	NOUN
fcis-11018	84	27	720	720	NUM
fcis-11018	84	28	)	)	PUNCT
fcis-11018	84	29	,	,	PUNCT
fcis-11018	84	30	is	be	AUX
fcis-11018	84	31	fixed	fix	VERB
fcis-11018	84	32	in	in	ADP
fcis-11018	84	33	front	front	NOUN
fcis-11018	84	34	of	of	ADP
fcis-11018	84	35	the	the	DET
fcis-11018	84	36	fish	fish	NOUN
fcis-11018	84	37	pond	pond	NOUN
fcis-11018	84	38	to	to	PART
fcis-11018	84	39	shoot	shoot	VERB
fcis-11018	84	40	the	the	DET
fcis-11018	84	41	fish	fish	NOUN
fcis-11018	84	42	pond	pond	NOUN
fcis-11018	84	43	,	,	PUNCT
fcis-11018	84	44	the	the	DET
fcis-11018	84	45	distance	distance	NOUN
fcis-11018	84	46	from	from	ADP
fcis-11018	84	47	the	the	DET
fcis-11018	84	48	fish	fish	NOUN
fcis-11018	84	49	tank	tank	NOUN
fcis-11018	84	50	is	be	AUX
fcis-11018	84	51	not	not	PART
fcis-11018	84	52	more	more	ADJ
fcis-11018	84	53	than	than	ADP
fcis-11018	84	54	50	50	NUM
fcis-11018	84	55	cm	cm	NOUN
fcis-11018	84	56	.	.	PUNCT
fcis-11018	85	1	3.2	3.2	NUM
fcis-11018	85	2	.	.	PUNCT
fcis-11018	86	1	data	datum	NOUN
fcis-11018	86	2	acquisition	acquisition	NOUN
fcis-11018	86	3	an	an	DET
fcis-11018	86	4	underwater	underwater	ADJ
fcis-11018	86	5	camera	camera	NOUN
fcis-11018	86	6	is	be	AUX
fcis-11018	86	7	a	a	DET
fcis-11018	86	8	device	device	NOUN
fcis-11018	86	9	specifically	specifically	ADV
fcis-11018	86	10	designed	design	VERB
fcis-11018	86	11	for	for	ADP
fcis-11018	86	12	underwater	underwater	ADJ
fcis-11018	86	13	shooting	shooting	NOUN
fcis-11018	86	14	,	,	PUNCT
fcis-11018	86	15	which	which	PRON
fcis-11018	86	16	can	can	AUX
fcis-11018	86	17	capture	capture	VERB
fcis-11018	86	18	high	high	ADJ
fcis-11018	86	19	-	-	PUNCT
fcis-11018	86	20	quality	quality	NOUN
fcis-11018	86	21	images	image	NOUN
fcis-11018	86	22	and	and	CCONJ
fcis-11018	86	23	videos	video	NOUN
fcis-11018	86	24	in	in	ADP
fcis-11018	86	25	underwater	underwater	ADJ
fcis-11018	86	26	environments	environment	NOUN
fcis-11018	86	27	.	.	PUNCT
fcis-11018	87	1	for	for	ADP
fcis-11018	87	2	this	this	DET
fcis-11018	87	3	study	study	NOUN
fcis-11018	87	4	,	,	PUNCT
fcis-11018	87	5	we	we	PRON
fcis-11018	87	6	chose	choose	VERB
fcis-11018	87	7	a	a	DET
fcis-11018	87	8	hikvision	hikvision	NOUN
fcis-11018	87	9	hd	hd	NOUN
fcis-11018	87	10	underwater	underwater	ADJ
fcis-11018	87	11	camera	camera	NOUN
fcis-11018	87	12	to	to	PART
fcis-11018	87	13	ensure	ensure	VERB
fcis-11018	87	14	the	the	DET
fcis-11018	87	15	quality	quality	NOUN
fcis-11018	87	16	of	of	ADP
fcis-11018	87	17	the	the	DET
fcis-11018	87	18	data	datum	NOUN
fcis-11018	87	19	we	we	PRON
fcis-11018	87	20	collected	collect	VERB
fcis-11018	87	21	.	.	PUNCT
fcis-11018	88	1	prior	prior	ADV
fcis-11018	88	2	to	to	ADP
fcis-11018	88	3	data	data	NOUN
fcis-11018	88	4	collection	collection	NOUN
fcis-11018	88	5	,	,	PUNCT
fcis-11018	88	6	we	we	PRON
fcis-11018	88	7	selected	select	VERB
fcis-11018	88	8	an	an	DET
fcis-11018	88	9	area	area	NOUN
fcis-11018	88	10	where	where	SCONJ
fcis-11018	88	11	fish	fish	NOUN
fcis-11018	88	12	congregreed	congregreed	VERB
fcis-11018	88	13	to	to	PART
fcis-11018	88	14	ensure	ensure	VERB
fcis-11018	88	15	that	that	SCONJ
fcis-11018	88	16	the	the	DET
fcis-11018	88	17	data	datum	NOUN
fcis-11018	88	18	collected	collect	VERB
fcis-11018	88	19	was	be	AUX
fcis-11018	88	20	representative	representative	ADJ
fcis-11018	88	21	.	.	PUNCT
fcis-11018	89	1	in	in	ADP
fcis-11018	89	2	this	this	DET
fcis-11018	89	3	study	study	NOUN
fcis-11018	89	4	,	,	PUNCT
fcis-11018	89	5	we	we	PRON
fcis-11018	89	6	selected	select	VERB
fcis-11018	89	7	120	120	NUM
fcis-11018	89	8	minutes	minute	NOUN
fcis-11018	89	9	of	of	ADP
fcis-11018	89	10	continuous	continuous	ADJ
fcis-11018	89	11	video	video	NOUN
fcis-11018	89	12	collection	collection	NOUN
fcis-11018	89	13	and	and	CCONJ
fcis-11018	89	14	frame	frame	NOUN
fcis-11018	89	15	extraction	extraction	NOUN
fcis-11018	89	16	,	,	PUNCT
fcis-11018	89	17	and	and	CCONJ
fcis-11018	89	18	finally	finally	ADV
fcis-11018	89	19	669	669	NUM
fcis-11018	89	20	pictures	picture	NOUN
fcis-11018	89	21	were	be	AUX
fcis-11018	89	22	formed	form	VERB
fcis-11018	89	23	after	after	ADP
fcis-11018	89	24	data	data	NOUN
fcis-11018	89	25	cleaning	cleaning	NOUN
fcis-11018	89	26	and	and	CCONJ
fcis-11018	89	27	manual	manual	ADJ
fcis-11018	89	28	screening	screening	NOUN
fcis-11018	89	29	.	.	PUNCT
fcis-11018	90	1	46	46	NUM
fcis-11018	90	2	3.3	3.3	NUM
fcis-11018	90	3	.	.	PUNCT
fcis-11018	91	1	data	datum	NOUN
fcis-11018	91	2	preprocessing	preprocesse	VERB
fcis-11018	91	3	for	for	ADP
fcis-11018	91	4	the	the	DET
fcis-11018	91	5	problem	problem	NOUN
fcis-11018	91	6	of	of	ADP
fcis-11018	91	7	irregular	irregular	ADJ
fcis-11018	91	8	image	image	NOUN
fcis-11018	91	9	shooting	shooting	NOUN
fcis-11018	91	10	,	,	PUNCT
fcis-11018	91	11	the	the	DET
fcis-11018	91	12	automatic	automatic	ADJ
fcis-11018	91	13	rotation	rotation	NOUN
fcis-11018	91	14	and	and	CCONJ
fcis-11018	91	15	flip	flip	ADJ
fcis-11018	91	16	function	function	NOUN
fcis-11018	91	17	of	of	ADP
fcis-11018	91	18	mixup	mixup	NOUN
fcis-11018	91	19	data	datum	NOUN
fcis-11018	91	20	enhancement	enhancement	NOUN
fcis-11018	91	21	method	method	NOUN
fcis-11018	91	22	has	have	AUX
fcis-11018	91	23	been	be	AUX
fcis-11018	91	24	adjusted	adjust	VERB
fcis-11018	91	25	to	to	PART
fcis-11018	91	26	achieve	achieve	VERB
fcis-11018	91	27	the	the	DET
fcis-11018	91	28	purpose	purpose	NOUN
fcis-11018	91	29	of	of	ADP
fcis-11018	91	30	enhancing	enhance	VERB
fcis-11018	91	31	image	image	NOUN
fcis-11018	91	32	readability	readability	NOUN
fcis-11018	91	33	.	.	PUNCT
fcis-11018	92	1	then	then	ADV
fcis-11018	92	2	,	,	PUNCT
fcis-11018	92	3	the	the	DET
fcis-11018	92	4	fragments	fragment	NOUN
fcis-11018	92	5	from	from	ADP
fcis-11018	92	6	the	the	DET
fcis-11018	92	7	data	datum	NOUN
fcis-11018	92	8	set	set	VERB
fcis-11018	92	9	were	be	AUX
fcis-11018	92	10	imported	import	VERB
fcis-11018	92	11	into	into	ADP
fcis-11018	92	12	the	the	DET
fcis-11018	92	13	model	model	NOUN
fcis-11018	92	14	training	training	NOUN
fcis-11018	92	15	.	.	PUNCT
fcis-11018	93	1	in	in	ADP
fcis-11018	93	2	order	order	NOUN
fcis-11018	93	3	to	to	PART
fcis-11018	93	4	select	select	VERB
fcis-11018	93	5	some	some	DET
fcis-11018	93	6	fragments	fragment	NOUN
fcis-11018	93	7	for	for	ADP
fcis-11018	93	8	accuracy	accuracy	NOUN
fcis-11018	93	9	evaluation	evaluation	NOUN
fcis-11018	93	10	,	,	PUNCT
fcis-11018	93	11	the	the	DET
fcis-11018	93	12	experiment	experiment	NOUN
fcis-11018	93	13	divided	divide	VERB
fcis-11018	93	14	the	the	DET
fcis-11018	93	15	data	datum	NOUN
fcis-11018	93	16	set	set	VERB
fcis-11018	93	17	,	,	PUNCT
fcis-11018	93	18	validation	validation	NOUN
fcis-11018	93	19	and	and	CCONJ
fcis-11018	93	20	test	test	NOUN
fcis-11018	93	21	set	set	VERB
fcis-11018	93	22	in	in	ADP
fcis-11018	93	23	a	a	DET
fcis-11018	93	24	ratio	ratio	NOUN
fcis-11018	93	25	of	of	ADP
fcis-11018	93	26	7:2:1	7:2:1	NUM
fcis-11018	93	27	.	.	PUNCT
fcis-11018	94	1	3.4	3.4	NUM
fcis-11018	94	2	.	.	PUNCT
fcis-11018	94	3	data	datum	NOUN
fcis-11018	94	4	annotation	annotation	NOUN
fcis-11018	94	5	data	datum	NOUN
fcis-11018	94	6	annotation	annotation	NOUN
fcis-11018	94	7	is	be	AUX
fcis-11018	94	8	also	also	ADV
fcis-11018	94	9	an	an	DET
fcis-11018	94	10	important	important	ADJ
fcis-11018	94	11	step	step	NOUN
fcis-11018	94	12	in	in	ADP
fcis-11018	94	13	deep	deep	ADJ
fcis-11018	94	14	learning	learning	NOUN
fcis-11018	94	15	object	object	NOUN
fcis-11018	94	16	detection	detection	NOUN
fcis-11018	94	17	.	.	PUNCT
fcis-11018	95	1	in	in	ADP
fcis-11018	95	2	this	this	DET
fcis-11018	95	3	study	study	NOUN
fcis-11018	95	4	,	,	PUNCT
fcis-11018	95	5	labelimg	labelimg	NOUN
fcis-11018	95	6	was	be	AUX
fcis-11018	95	7	used	use	VERB
fcis-11018	95	8	for	for	ADP
fcis-11018	95	9	manual	manual	ADJ
fcis-11018	95	10	annotation	annotation	NOUN
fcis-11018	95	11	.	.	PUNCT
fcis-11018	96	1	the	the	DET
fcis-11018	96	2	problem	problem	NOUN
fcis-11018	96	3	with	with	ADP
fcis-11018	96	4	the	the	DET
fcis-11018	96	5	experiment	experiment	NOUN
fcis-11018	96	6	is	be	AUX
fcis-11018	96	7	that	that	SCONJ
fcis-11018	96	8	the	the	DET
fcis-11018	96	9	fish	fish	NOUN
fcis-11018	96	10	are	be	AUX
fcis-11018	96	11	very	very	ADV
fcis-11018	96	12	fast	fast	ADJ
fcis-11018	96	13	and	and	CCONJ
fcis-11018	96	14	move	move	VERB
fcis-11018	96	15	a	a	DET
fcis-11018	96	16	lot	lot	NOUN
fcis-11018	96	17	.	.	PUNCT
fcis-11018	97	1	so	so	ADV
fcis-11018	97	2	how	how	SCONJ
fcis-11018	97	3	to	to	PART
fcis-11018	97	4	understand	understand	VERB
fcis-11018	97	5	the	the	DET
fcis-11018	97	6	behavior	behavior	NOUN
fcis-11018	97	7	of	of	ADP
fcis-11018	97	8	fish	fish	NOUN
fcis-11018	97	9	is	be	AUX
fcis-11018	97	10	the	the	DET
fcis-11018	97	11	key	key	NOUN
fcis-11018	97	12	in	in	ADP
fcis-11018	97	13	the	the	DET
fcis-11018	97	14	future	future	ADJ
fcis-11018	97	15	data	datum	NOUN
fcis-11018	97	16	set	set	VERB
fcis-11018	97	17	processing	processing	NOUN
fcis-11018	97	18	.	.	PUNCT
fcis-11018	98	1	therefore	therefore	ADV
fcis-11018	98	2	,	,	PUNCT
fcis-11018	98	3	in	in	ADP
fcis-11018	98	4	order	order	NOUN
fcis-11018	98	5	to	to	PART
fcis-11018	98	6	accurately	accurately	ADV
fcis-11018	98	7	mark	mark	VERB
fcis-11018	98	8	which	which	DET
fcis-11018	98	9	behaviors	behavior	NOUN
fcis-11018	98	10	are	be	AUX
fcis-11018	98	11	abnormal	abnormal	ADJ
fcis-11018	98	12	behaviors	behavior	NOUN
fcis-11018	98	13	of	of	ADP
fcis-11018	98	14	fish	fish	NOUN
fcis-11018	98	15	,	,	PUNCT
fcis-11018	98	16	teachers	teacher	NOUN
fcis-11018	98	17	and	and	CCONJ
fcis-11018	98	18	students	student	NOUN
fcis-11018	98	19	from	from	ADP
fcis-11018	98	20	the	the	DET
fcis-11018	98	21	college	college	NOUN
fcis-11018	98	22	of	of	ADP
fcis-11018	98	23	fisheries	fishery	NOUN
fcis-11018	98	24	are	be	AUX
fcis-11018	98	25	invited	invite	VERB
fcis-11018	98	26	to	to	PART
fcis-11018	98	27	give	give	VERB
fcis-11018	98	28	advice	advice	NOUN
fcis-11018	98	29	to	to	PART
fcis-11018	98	30	help	help	VERB
fcis-11018	98	31	label	label	VERB
fcis-11018	98	32	behavioral	behavioral	ADJ
fcis-11018	98	33	data	datum	NOUN
fcis-11018	98	34	in	in	ADP
fcis-11018	98	35	the	the	DET
fcis-11018	98	36	recorded	record	VERB
fcis-11018	98	37	fish	fish	NOUN
fcis-11018	98	38	behavior	behavior	NOUN
fcis-11018	98	39	snippets	snippet	NOUN
fcis-11018	98	40	.	.	PUNCT
fcis-11018	99	1	after	after	ADP
fcis-11018	99	2	labeling	label	VERB
fcis-11018	99	3	the	the	DET
fcis-11018	99	4	fish	fish	NOUN
fcis-11018	99	5	in	in	ADP
fcis-11018	99	6	each	each	DET
fcis-11018	99	7	picture	picture	NOUN
fcis-11018	99	8	and	and	CCONJ
fcis-11018	99	9	marking	mark	VERB
fcis-11018	99	10	the	the	DET
fcis-11018	99	11	abnormal	abnormal	ADJ
fcis-11018	99	12	behavior	behavior	NOUN
fcis-11018	99	13	state	state	NOUN
fcis-11018	99	14	of	of	ADP
fcis-11018	99	15	the	the	DET
fcis-11018	99	16	fish	fish	NOUN
fcis-11018	99	17	,	,	PUNCT
fcis-11018	99	18	it	it	PRON
fcis-11018	99	19	is	be	AUX
fcis-11018	99	20	expected	expect	VERB
fcis-11018	99	21	that	that	SCONJ
fcis-11018	99	22	the	the	DET
fcis-11018	99	23	abnormal	abnormal	ADJ
fcis-11018	99	24	swimming	swimming	NOUN
fcis-11018	99	25	of	of	ADP
fcis-11018	99	26	the	the	DET
fcis-11018	99	27	fish	fish	NOUN
fcis-11018	99	28	can	can	AUX
fcis-11018	99	29	be	be	AUX
fcis-11018	99	30	more	more	ADV
fcis-11018	99	31	accurately	accurately	ADV
fcis-11018	99	32	identified	identify	VERB
fcis-11018	99	33	.	.	PUNCT
fcis-11018	100	1	through	through	ADP
fcis-11018	100	2	the	the	DET
fcis-11018	100	3	above	above	ADJ
fcis-11018	100	4	steps	step	NOUN
fcis-11018	100	5	,	,	PUNCT
fcis-11018	100	6	669	669	NUM
fcis-11018	100	7	high	high	ADJ
fcis-11018	100	8	-	-	PUNCT
fcis-11018	100	9	quality	quality	NOUN
fcis-11018	100	10	fish	fish	NOUN
fcis-11018	100	11	pictures	picture	NOUN
fcis-11018	100	12	were	be	AUX
fcis-11018	100	13	successfully	successfully	ADV
fcis-11018	100	14	selected	select	VERB
fcis-11018	100	15	and	and	CCONJ
fcis-11018	100	16	labeled	label	VERB
fcis-11018	100	17	.	.	PUNCT
fcis-11018	101	1	this	this	DET
fcis-11018	101	2	data	datum	NOUN
fcis-11018	101	3	will	will	AUX
fcis-11018	101	4	serve	serve	VERB
fcis-11018	101	5	as	as	ADP
fcis-11018	101	6	a	a	DET
fcis-11018	101	7	training	training	NOUN
fcis-11018	101	8	set	set	NOUN
fcis-11018	101	9	for	for	ADP
fcis-11018	101	10	our	our	PRON
fcis-11018	101	11	deep	deep	ADJ
fcis-11018	101	12	learning	learning	NOUN
fcis-11018	101	13	object	object	NOUN
fcis-11018	101	14	detection	detection	NOUN
fcis-11018	101	15	model	model	NOUN
fcis-11018	101	16	to	to	PART
fcis-11018	101	17	enable	enable	VERB
fcis-11018	101	18	the	the	DET
fcis-11018	101	19	identification	identification	NOUN
fcis-11018	101	20	of	of	ADP
fcis-11018	101	21	anomalous	anomalous	ADJ
fcis-11018	101	22	fish	fish	NOUN
fcis-11018	101	23	behavior	behavior	NOUN
fcis-11018	101	24	.	.	PUNCT
fcis-11018	102	1	3.5	3.5	NUM
fcis-11018	102	2	.	.	PUNCT
fcis-11018	102	3	experimental	experimental	ADJ
fcis-11018	102	4	platform	platform	NOUN
fcis-11018	102	5	and	and	CCONJ
fcis-11018	102	6	model	model	NOUN
fcis-11018	102	7	training	training	NOUN
fcis-11018	102	8	parameters	parameter	NOUN
fcis-11018	102	9	the	the	DET
fcis-11018	102	10	experiment	experiment	NOUN
fcis-11018	102	11	adopts	adopt	VERB
fcis-11018	102	12	gpu	gpu	NOUN
fcis-11018	102	13	acceleration	acceleration	NOUN
fcis-11018	102	14	for	for	ADP
fcis-11018	102	15	training	training	NOUN
fcis-11018	102	16	.	.	PUNCT
fcis-11018	103	1	in	in	ADP
fcis-11018	103	2	order	order	NOUN
fcis-11018	103	3	to	to	PART
fcis-11018	103	4	obtain	obtain	VERB
fcis-11018	103	5	the	the	DET
fcis-11018	103	6	detection	detection	NOUN
fcis-11018	103	7	speed	speed	NOUN
fcis-11018	103	8	,	,	PUNCT
fcis-11018	103	9	the	the	DET
fcis-11018	103	10	experiment	experiment	NOUN
fcis-11018	103	11	uses	use	VERB
fcis-11018	103	12	the	the	DET
fcis-11018	103	13	pre	pre	ADJ
fcis-11018	103	14	-	-	ADJ
fcis-11018	103	15	training	training	ADJ
fcis-11018	103	16	weight	weight	NOUN
fcis-11018	103	17	yolov8s.pt	yolov8s.pt	PROPN
fcis-11018	103	18	trained	train	VERB
fcis-11018	103	19	by	by	ADP
fcis-11018	103	20	yolov8	yolov8	NOUN
fcis-11018	103	21	network	network	NOUN
fcis-11018	103	22	on	on	ADP
fcis-11018	103	23	imagenet	imagenet	NOUN
fcis-11018	103	24	.	.	PUNCT
fcis-11018	104	1	in	in	ADP
fcis-11018	104	2	order	order	NOUN
fcis-11018	104	3	to	to	PART
fcis-11018	104	4	obtain	obtain	VERB
fcis-11018	104	5	the	the	DET
fcis-11018	104	6	detection	detection	NOUN
fcis-11018	104	7	accuracy	accuracy	NOUN
fcis-11018	104	8	,	,	PUNCT
fcis-11018	104	9	the	the	DET
fcis-11018	104	10	experiment	experiment	NOUN
fcis-11018	104	11	increases	increase	VERB
fcis-11018	104	12	the	the	DET
fcis-11018	104	13	default	default	NOUN
fcis-11018	104	14	iteration	iteration	NOUN
fcis-11018	104	15	number	number	NOUN
fcis-11018	104	16	to	to	ADP
fcis-11018	104	17	500	500	NUM
fcis-11018	104	18	times	time	NOUN
fcis-11018	104	19	,	,	PUNCT
fcis-11018	104	20	and	and	CCONJ
fcis-11018	104	21	the	the	DET
fcis-11018	104	22	learning	learning	NOUN
fcis-11018	104	23	rate	rate	NOUN
fcis-11018	104	24	is	be	AUX
fcis-11018	104	25	0.01	0.01	NUM
fcis-11018	104	26	.	.	PUNCT
fcis-11018	105	1	the	the	DET
fcis-11018	105	2	hardware	hardware	NOUN
fcis-11018	105	3	configuration	configuration	NOUN
fcis-11018	105	4	is	be	AUX
fcis-11018	105	5	shown	show	VERB
fcis-11018	105	6	in	in	ADP
fcis-11018	105	7	table	table	NOUN
fcis-11018	105	8	1	1	NUM
fcis-11018	105	9	and	and	CCONJ
fcis-11018	105	10	the	the	DET
fcis-11018	105	11	software	software	NOUN
fcis-11018	105	12	running	run	VERB
fcis-11018	105	13	platform	platform	NOUN
fcis-11018	105	14	is	be	AUX
fcis-11018	105	15	shown	show	VERB
fcis-11018	105	16	in	in	ADP
fcis-11018	105	17	table	table	NOUN
fcis-11018	105	18	2	2	NUM
fcis-11018	105	19	.	.	PUNCT
fcis-11018	105	20	table	table	NOUN
fcis-11018	105	21	1	1	NUM
fcis-11018	105	22	.	.	PUNCT
fcis-11018	106	1	the	the	DET
fcis-11018	106	2	hardware	hardware	NOUN
fcis-11018	106	3	platform	platform	NOUN
fcis-11018	106	4	used	use	VERB
fcis-11018	106	5	in	in	ADP
fcis-11018	106	6	the	the	DET
fcis-11018	106	7	experiment	experiment	NOUN
fcis-11018	106	8	cpu	cpu	NOUN
fcis-11018	106	9	intel(r)core	intel(r)core	X
fcis-11018	106	10	™	™	PROPN
fcis-11018	106	11	i5	i5	NOUN
fcis-11018	106	12	-	-	PUNCT
fcis-11018	106	13	12500	12500	NUM
fcis-11018	106	14	3ghz	3ghz	PROPN
fcis-11018	106	15	gpu	gpu	X
fcis-11018	106	16	nvidia(r)geforce	nvidia(r)geforce	NUM
fcis-11018	106	17	rtx	rtx	PROPN
fcis-11018	106	18	™	™	PROPN
fcis-11018	106	19	4060	4060	NUM
fcis-11018	106	20	ti	ti	NOUN
fcis-11018	106	21	ram	ram	NOUN
fcis-11018	106	22	ddr4	ddr4	NOUN
fcis-11018	106	23	16	16	NUM
fcis-11018	106	24	gb	gb	NOUN
fcis-11018	106	25	ssd	ssd	NOUN
fcis-11018	106	26	pci	pci	ADJ
fcis-11018	106	27	512	512	NUM
fcis-11018	106	28	gb	gb	NOUN
fcis-11018	106	29	table	table	NOUN
fcis-11018	106	30	2	2	NUM
fcis-11018	106	31	.	.	PUNCT
fcis-11018	106	32	software	software	NOUN
fcis-11018	106	33	platform	platform	NOUN
fcis-11018	106	34	for	for	ADP
fcis-11018	106	35	the	the	DET
fcis-11018	106	36	experiment	experiment	NOUN
fcis-11018	106	37	models	model	NOUN
fcis-11018	106	38	python	python	NOUN
fcis-11018	106	39	3.9	3.9	NUM
fcis-11018	106	40	experimental	experimental	ADJ
fcis-11018	106	41	running	running	NOUN
fcis-11018	106	42	platform	platform	NOUN
fcis-11018	106	43	pycharm	pycharm	NOUN
fcis-11018	106	44	cuda	cuda	NOUN
fcis-11018	106	45	12.2	12.2	NUM
fcis-11018	106	46	pytorch	pytorch	NOUN
fcis-11018	106	47	framework	framework	NOUN
fcis-11018	106	48	2.0.1	2.0.1	NUM
fcis-11018	106	49	operating	operating	NOUN
fcis-11018	106	50	system	system	NOUN
fcis-11018	106	51	windows	window	VERB
fcis-11018	106	52	10	10	NUM
fcis-11018	106	53	3.6	3.6	NUM
fcis-11018	106	54	.	.	PUNCT
fcis-11018	107	1	evaluation	evaluation	NOUN
fcis-11018	107	2	index	index	NOUN
fcis-11018	107	3	the	the	DET
fcis-11018	107	4	computation	computation	NOUN
fcis-11018	107	5	is	be	AUX
fcis-11018	107	6	used	use	VERB
fcis-11018	107	7	to	to	PART
fcis-11018	107	8	measure	measure	VERB
fcis-11018	107	9	the	the	DET
fcis-11018	107	10	execution	execution	NOUN
fcis-11018	107	11	time	time	NOUN
fcis-11018	107	12	of	of	ADP
fcis-11018	107	13	the	the	DET
fcis-11018	107	14	network	network	NOUN
fcis-11018	107	15	model	model	NOUN
fcis-11018	107	16	,	,	PUNCT
fcis-11018	107	17	and	and	CCONJ
fcis-11018	107	18	the	the	DET
fcis-11018	107	19	unit	unit	NOUN
fcis-11018	107	20	is	be	AUX
fcis-11018	107	21	1	1	NUM
fcis-11018	107	22	billion	billion	NUM
fcis-11018	107	23	floating	float	VERB
fcis-11018	107	24	-	-	PUNCT
fcis-11018	107	25	point	point	NOUN
fcis-11018	107	26	operations	operation	NOUN
fcis-11018	107	27	per	per	ADP
fcis-11018	107	28	second	second	ADJ
fcis-11018	107	29	(	(	PUNCT
fcis-11018	107	30	gflop	gflop	NOUN
fcis-11018	107	31	)	)	PUNCT
fcis-11018	107	32	.	.	PUNCT
fcis-11018	108	1	the	the	PRON
fcis-11018	108	2	larger	large	ADJ
fcis-11018	108	3	the	the	DET
fcis-11018	108	4	value	value	NOUN
fcis-11018	108	5	is	be	AUX
fcis-11018	108	6	,	,	PUNCT
fcis-11018	108	7	the	the	PRON
fcis-11018	108	8	greater	great	ADJ
fcis-11018	108	9	the	the	DET
fcis-11018	108	10	computing	computing	NOUN
fcis-11018	108	11	power	power	NOUN
fcis-11018	108	12	required	require	VERB
fcis-11018	108	13	by	by	ADP
fcis-11018	108	14	the	the	DET
fcis-11018	108	15	computer	computer	NOUN
fcis-11018	108	16	.	.	PUNCT
fcis-11018	109	1	the	the	DET
fcis-11018	109	2	average	average	ADJ
fcis-11018	109	3	precision	precision	NOUN
fcis-11018	109	4	mean	mean	NOUN
fcis-11018	109	5	(	(	PUNCT
fcis-11018	109	6	map	map	NOUN
fcis-11018	109	7	)	)	PUNCT
fcis-11018	109	8	was	be	AUX
fcis-11018	109	9	used	use	VERB
fcis-11018	109	10	to	to	PART
fcis-11018	109	11	evaluate	evaluate	VERB
fcis-11018	109	12	the	the	DET
fcis-11018	109	13	accuracy	accuracy	NOUN
fcis-11018	109	14	of	of	ADP
fcis-11018	109	15	the	the	DET
fcis-11018	109	16	model	model	NOUN
fcis-11018	109	17	performance	performance	NOUN
fcis-11018	109	18	,	,	PUNCT
fcis-11018	109	19	which	which	PRON
fcis-11018	109	20	is	be	AUX
fcis-11018	109	21	an	an	DET
fcis-11018	109	22	important	important	ADJ
fcis-11018	109	23	performance	performance	NOUN
fcis-11018	109	24	measurement	measurement	NOUN
fcis-11018	109	25	indicator	indicator	NOUN
fcis-11018	109	26	,	,	PUNCT
fcis-11018	109	27	that	that	ADV
fcis-11018	109	28	is	is	ADV
fcis-11018	109	29	,	,	PUNCT
fcis-11018	109	30	to	to	PART
fcis-11018	109	31	average	average	VERB
fcis-11018	109	32	the	the	DET
fcis-11018	109	33	average	average	ADJ
fcis-11018	109	34	accuracy	accuracy	NOUN
fcis-11018	109	35	value	value	NOUN
fcis-11018	109	36	of	of	ADP
fcis-11018	109	37	all	all	DET
fcis-11018	109	38	categories	category	NOUN
fcis-11018	109	39	,	,	PUNCT
fcis-11018	109	40	its	its	PRON
fcis-11018	109	41	calculation	calculation	NOUN
fcis-11018	109	42	formula	formula	NOUN
fcis-11018	109	43	is	be	AUX
fcis-11018	109	44	pma	pma	NOUN
fcis-11018	109	45	=	=	PUNCT
fcis-11018	109	46	∑pa	∑pa	NOUN
fcis-11018	109	47	/	/	SYM
fcis-11018	109	48	n	n	CCONJ
fcis-11018	109	49	(	(	PUNCT
fcis-11018	109	50	3	3	NUM
fcis-11018	109	51	)	)	PUNCT
fcis-11018	109	52	in	in	ADP
fcis-11018	109	53	the	the	DET
fcis-11018	109	54	formula	formula	NOUN
fcis-11018	109	55	:	:	PUNCT
fcis-11018	109	56	pma	pma	PROPN
fcis-11018	109	57	is	be	AUX
fcis-11018	109	58	map	map	NOUN
fcis-11018	109	59	;	;	PUNCT
fcis-11018	109	60	n	n	PRON
fcis-11018	109	61	is	be	AUX
fcis-11018	109	62	the	the	DET
fcis-11018	109	63	total	total	ADJ
fcis-11018	109	64	number	number	NOUN
fcis-11018	109	65	of	of	ADP
fcis-11018	109	66	categories	category	NOUN
fcis-11018	109	67	;	;	PUNCT
fcis-11018	109	68	pa	pa	PROPN
fcis-11018	109	69	is	be	AUX
fcis-11018	109	70	the	the	DET
fcis-11018	109	71	area	area	NOUN
fcis-11018	109	72	enclosed	enclose	VERB
fcis-11018	109	73	by	by	ADP
fcis-11018	109	74	a	a	DET
fcis-11018	109	75	curve	curve	NOUN
fcis-11018	109	76	with	with	ADP
fcis-11018	109	77	recall	recall	NOUN
fcis-11018	109	78	rate	rate	NOUN
fcis-11018	109	79	as	as	ADP
fcis-11018	109	80	the	the	DET
fcis-11018	109	81	horizontal	horizontal	ADJ
fcis-11018	109	82	axis	axis	NOUN
fcis-11018	109	83	and	and	CCONJ
fcis-11018	109	84	accuracy	accuracy	NOUN
fcis-11018	109	85	as	as	ADP
fcis-11018	109	86	the	the	DET
fcis-11018	109	87	vertical	vertical	ADJ
fcis-11018	109	88	axis	axis	NOUN
fcis-11018	109	89	.	.	PUNCT
fcis-11018	110	1	map@0.5	map@0.5	NOUN
fcis-11018	110	2	is	be	AUX
fcis-11018	110	3	the	the	DET
fcis-11018	110	4	mean	mean	ADJ
fcis-11018	110	5	precision	precision	NOUN
fcis-11018	110	6	for	for	ADP
fcis-11018	110	7	the	the	DET
fcis-11018	110	8	iou	iou	NOUN
fcis-11018	110	9	threshold	threshold	NOUN
fcis-11018	110	10	of	of	ADP
fcis-11018	110	11	0.5	0.5	NUM
fcis-11018	110	12	.	.	PUNCT
fcis-11018	111	1	3.7	3.7	NUM
fcis-11018	111	2	.	.	PUNCT
fcis-11018	112	1	comparative	comparative	ADJ
fcis-11018	112	2	test	test	NOUN
fcis-11018	112	3	of	of	ADP
fcis-11018	112	4	detection	detection	NOUN
fcis-11018	112	5	and	and	CCONJ
fcis-11018	112	6	recognition	recognition	NOUN
fcis-11018	112	7	of	of	ADP
fcis-11018	112	8	different	different	ADJ
fcis-11018	112	9	models	model	NOUN
fcis-11018	112	10	comparing	compare	VERB
fcis-11018	112	11	the	the	DET
fcis-11018	112	12	improved	improve	VERB
fcis-11018	112	13	yolo	yolo	ADJ
fcis-11018	112	14	v8	v8	PROPN
fcis-11018	112	15	model	model	NOUN
fcis-11018	112	16	with	with	ADP
fcis-11018	112	17	the	the	DET
fcis-11018	112	18	original	original	ADJ
fcis-11018	112	19	yolo	yolo	ADJ
fcis-11018	112	20	v8	v8	PROPN
fcis-11018	112	21	model	model	NOUN
fcis-11018	112	22	and	and	CCONJ
fcis-11018	112	23	yolo	yolo	ADJ
fcis-11018	112	24	v5	v5	PROPN
fcis-11018	112	25	model	model	NOUN
fcis-11018	113	1	,	,	PUNCT
fcis-11018	113	2	the	the	DET
fcis-11018	113	3	model	model	NOUN
fcis-11018	113	4	proposed	propose	VERB
fcis-11018	113	5	in	in	ADP
fcis-11018	113	6	this	this	DET
fcis-11018	113	7	paper	paper	NOUN
fcis-11018	113	8	has	have	VERB
fcis-11018	113	9	obvious	obvious	ADJ
fcis-11018	113	10	advantages	advantage	NOUN
fcis-11018	113	11	in	in	ADP
fcis-11018	113	12	terms	term	NOUN
fcis-11018	113	13	of	of	ADP
fcis-11018	113	14	detection	detection	NOUN
fcis-11018	113	15	accuracy	accuracy	NOUN
fcis-11018	113	16	and	and	CCONJ
fcis-11018	113	17	computation	computation	NOUN
fcis-11018	113	18	amount	amount	NOUN
fcis-11018	113	19	under	under	ADP
fcis-11018	113	20	this	this	DET
fcis-11018	113	21	data	data	NOUN
fcis-11018	113	22	set	set	VERB
fcis-11018	113	23	.	.	PUNCT
fcis-11018	114	1	as	as	SCONJ
fcis-11018	114	2	shown	show	VERB
fcis-11018	114	3	in	in	ADP
fcis-11018	114	4	table	table	NOUN
fcis-11018	114	5	3	3	NUM
fcis-11018	114	6	table	table	NOUN
fcis-11018	114	7	3	3	NUM
fcis-11018	114	8	.	.	PUNCT
fcis-11018	114	9	comparative	comparative	ADJ
fcis-11018	114	10	test	test	NOUN
fcis-11018	114	11	of	of	ADP
fcis-11018	114	12	detection	detection	NOUN
fcis-11018	114	13	and	and	CCONJ
fcis-11018	114	14	recognition	recognition	NOUN
fcis-11018	114	15	of	of	ADP
fcis-11018	114	16	different	different	ADJ
fcis-11018	114	17	models	model	NOUN
fcis-11018	114	18	model	model	VERB
fcis-11018	114	19	map@0.5/%	map@0.5/%	ADJ
fcis-11018	114	20	calculated	calculate	VERB
fcis-11018	114	21	amount	amount	NOUN
fcis-11018	114	22	yolo	yolo	ADJ
fcis-11018	114	23	v5	v5	VERB
fcis-11018	114	24	66.93	66.93	NUM
fcis-11018	114	25	7.1	7.1	NUM
fcis-11018	114	26	yolo	yolo	ADJ
fcis-11018	114	27	v8	v8	PROPN
fcis-11018	114	28	71.36	71.36	NUM
fcis-11018	114	29	6.85	6.85	NUM
fcis-11018	114	30	yolo	yolo	ADJ
fcis-11018	114	31	v8	v8	PROPN
fcis-11018	114	32	-	-	PUNCT
fcis-11018	114	33	deep	deep	ADJ
fcis-11018	114	34	sortsiou	sortsiou	NOUN
fcis-11018	114	35	73.49	73.49	NUM
fcis-11018	114	36	6.52	6.52	NUM
fcis-11018	114	37	3.8	3.8	NUM
fcis-11018	114	38	.	.	PUNCT
fcis-11018	115	1	experimental	experimental	ADJ
fcis-11018	115	2	result	result	NOUN
fcis-11018	115	3	figure	figure	NOUN
fcis-11018	115	4	2	2	NUM
fcis-11018	115	5	.	.	PUNCT
fcis-11018	115	6	original	original	ADJ
fcis-11018	115	7	image	image	NOUN
fcis-11018	115	8	figure	figure	NOUN
fcis-11018	115	9	3	3	NUM
fcis-11018	115	10	.	.	PUNCT
fcis-11018	115	11	detection	detection	NOUN
fcis-11018	115	12	effect	effect	NOUN
fcis-11018	115	13	picture	picture	NOUN
fcis-11018	115	14	figure	figure	NOUN
fcis-11018	115	15	4	4	NUM
fcis-11018	115	16	.	.	PUNCT
fcis-11018	115	17	original	original	ADJ
fcis-11018	115	18	image	image	NOUN
fcis-11018	115	19	the	the	DET
fcis-11018	115	20	abnormal	abnormal	ADJ
fcis-11018	115	21	behavior	behavior	NOUN
fcis-11018	115	22	fish	fish	NOUN
fcis-11018	115	23	detection	detection	NOUN
fcis-11018	115	24	and	and	CCONJ
fcis-11018	115	25	counting	counting	NOUN
fcis-11018	115	26	model	model	NOUN
fcis-11018	115	27	based	base	VERB
fcis-11018	115	28	on	on	ADP
fcis-11018	115	29	deep	deep	ADJ
fcis-11018	115	30	sort	sort	NOUN
fcis-11018	115	31	and	and	CCONJ
fcis-11018	115	32	yolo	yolo	ADJ
fcis-11018	115	33	v8	v8	PROPN
fcis-11018	115	34	has	have	VERB
fcis-11018	115	35	good	good	ADJ
fcis-11018	115	36	detection	detection	NOUN
fcis-11018	115	37	accuracy	accuracy	NOUN
fcis-11018	115	38	and	and	CCONJ
fcis-11018	115	39	speed	speed	NOUN
fcis-11018	115	40	,	,	PUNCT
fcis-11018	115	41	and	and	CCONJ
fcis-11018	115	42	can	can	AUX
fcis-11018	115	43	accurately	accurately	ADV
fcis-11018	115	44	and	and	CCONJ
fcis-11018	115	45	quickly	quickly	ADV
fcis-11018	115	46	detect	detect	VERB
fcis-11018	115	47	fish	fish	NOUN
fcis-11018	115	48	with	with	ADP
fcis-11018	115	49	abnormal	abnormal	ADJ
fcis-11018	115	50	behavior	behavior	NOUN
fcis-11018	115	51	,	,	PUNCT
fcis-11018	115	52	and	and	CCONJ
fcis-11018	115	53	can	can	AUX
fcis-11018	115	54	display	display	VERB
fcis-11018	115	55	its	its	PRON
fcis-11018	115	56	number	number	NOUN
fcis-11018	115	57	,	,	PUNCT
fcis-11018	115	58	while	while	SCONJ
fcis-11018	115	59	normal	normal	ADJ
fcis-11018	115	60	fish	fish	NOUN
fcis-11018	115	61	will	will	AUX
fcis-11018	115	62	not	not	PART
fcis-11018	115	63	be	be	AUX
fcis-11018	115	64	mis	mis	PROPN
fcis-11018	115	65	detected	detect	VERB
fcis-11018	115	66	.	.	PUNCT
fcis-11018	116	1	for	for	ADP
fcis-11018	116	2	the	the	DET
fcis-11018	116	3	detection	detection	NOUN
fcis-11018	116	4	under	under	ADP
fcis-11018	116	5	47	47	NUM
fcis-11018	116	6	occlusion	occlusion	NOUN
fcis-11018	116	7	,	,	PUNCT
fcis-11018	116	8	the	the	DET
fcis-11018	116	9	detection	detection	NOUN
fcis-11018	116	10	effect	effect	NOUN
fcis-11018	116	11	of	of	ADP
fcis-11018	116	12	this	this	DET
fcis-11018	116	13	model	model	NOUN
fcis-11018	116	14	is	be	AUX
fcis-11018	116	15	still	still	ADV
fcis-11018	116	16	good	good	ADJ
fcis-11018	116	17	.	.	PUNCT
fcis-11018	117	1	for	for	ADP
fcis-11018	117	2	both	both	CCONJ
fcis-11018	117	3	local	local	ADJ
fcis-11018	117	4	occlusion	occlusion	NOUN
fcis-11018	117	5	and	and	CCONJ
fcis-11018	117	6	large	large	ADJ
fcis-11018	117	7	-	-	PUNCT
fcis-11018	117	8	area	area	NOUN
fcis-11018	117	9	occlusion	occlusion	NOUN
fcis-11018	117	10	,	,	PUNCT
fcis-11018	117	11	this	this	DET
fcis-11018	117	12	model	model	NOUN
fcis-11018	117	13	can	can	AUX
fcis-11018	117	14	detect	detect	VERB
fcis-11018	117	15	accurately	accurately	ADV
fcis-11018	117	16	,	,	PUNCT
fcis-11018	117	17	as	as	SCONJ
fcis-11018	117	18	shown	show	VERB
fcis-11018	117	19	in	in	ADP
fcis-11018	117	20	figure	figure	NOUN
fcis-11018	117	21	2	2	NUM
fcis-11018	117	22	-	-	SYM
fcis-11018	117	23	5	5	NUM
fcis-11018	117	24	.	.	PUNCT
fcis-11018	117	25	figure	figure	NOUN
fcis-11018	117	26	5	5	NUM
fcis-11018	117	27	.	.	PUNCT
fcis-11018	117	28	detection	detection	NOUN
fcis-11018	117	29	effect	effect	NOUN
fcis-11018	117	30	picture	picture	NOUN
fcis-11018	117	31	4	4	NUM
fcis-11018	117	32	.	.	PUNCT
fcis-11018	117	33	conclusion	conclusion	NOUN
fcis-11018	117	34	this	this	DET
fcis-11018	117	35	paper	paper	NOUN
fcis-11018	117	36	proposes	propose	VERB
fcis-11018	117	37	a	a	DET
fcis-11018	117	38	fish	fish	NOUN
fcis-11018	117	39	abnormal	abnormal	ADJ
fcis-11018	117	40	behavior	behavior	NOUN
fcis-11018	117	41	recognition	recognition	NOUN
fcis-11018	117	42	method	method	NOUN
fcis-11018	117	43	based	base	VERB
fcis-11018	117	44	on	on	ADP
fcis-11018	117	45	deep	deep	ADJ
fcis-11018	117	46	learning	learning	NOUN
fcis-11018	117	47	object	object	NOUN
fcis-11018	117	48	detection	detection	NOUN
fcis-11018	117	49	technology	technology	NOUN
fcis-11018	117	50	.	.	PUNCT
fcis-11018	118	1	the	the	DET
fcis-11018	118	2	method	method	NOUN
fcis-11018	118	3	uses	use	VERB
fcis-11018	118	4	yolov8	yolov8	NOUN
fcis-11018	118	5	algorithm	algorithm	NOUN
fcis-11018	118	6	for	for	ADP
fcis-11018	118	7	real	real	ADJ
fcis-11018	118	8	-	-	PUNCT
fcis-11018	118	9	time	time	NOUN
fcis-11018	118	10	monitoring	monitoring	NOUN
fcis-11018	118	11	and	and	CCONJ
fcis-11018	118	12	detection	detection	NOUN
fcis-11018	118	13	of	of	ADP
fcis-11018	118	14	fish	fish	NOUN
fcis-11018	118	15	behavior	behavior	NOUN
fcis-11018	118	16	,	,	PUNCT
fcis-11018	118	17	and	and	CCONJ
fcis-11018	118	18	can	can	AUX
fcis-11018	118	19	quickly	quickly	ADV
fcis-11018	118	20	and	and	CCONJ
fcis-11018	118	21	accurately	accurately	ADV
fcis-11018	118	22	find	find	VERB
fcis-11018	118	23	fish	fish	NOUN
fcis-11018	118	24	with	with	ADP
fcis-11018	118	25	abnormal	abnormal	ADJ
fcis-11018	118	26	behavior	behavior	NOUN
fcis-11018	118	27	.	.	PUNCT
fcis-11018	119	1	the	the	DET
fcis-11018	119	2	experimental	experimental	ADJ
fcis-11018	119	3	results	result	NOUN
fcis-11018	119	4	show	show	VERB
fcis-11018	119	5	that	that	SCONJ
fcis-11018	119	6	the	the	DET
fcis-11018	119	7	detection	detection	NOUN
fcis-11018	119	8	speed	speed	NOUN
fcis-11018	119	9	,	,	PUNCT
fcis-11018	119	10	accuracy	accuracy	NOUN
fcis-11018	119	11	and	and	CCONJ
fcis-11018	119	12	real	real	ADJ
fcis-11018	119	13	-	-	PUNCT
fcis-11018	119	14	time	time	NOUN
fcis-11018	119	15	performance	performance	NOUN
fcis-11018	119	16	of	of	ADP
fcis-11018	119	17	this	this	DET
fcis-11018	119	18	method	method	NOUN
fcis-11018	119	19	are	be	AUX
fcis-11018	119	20	better	well	ADJ
fcis-11018	119	21	than	than	ADP
fcis-11018	119	22	the	the	DET
fcis-11018	119	23	traditional	traditional	ADJ
fcis-11018	119	24	manual	manual	ADJ
fcis-11018	119	25	recognition	recognition	NOUN
fcis-11018	119	26	method	method	NOUN
fcis-11018	119	27	,	,	PUNCT
fcis-11018	119	28	and	and	CCONJ
fcis-11018	119	29	it	it	PRON
fcis-11018	119	30	has	have	VERB
fcis-11018	119	31	certain	certain	ADJ
fcis-11018	119	32	practical	practical	ADJ
fcis-11018	119	33	value	value	NOUN
fcis-11018	119	34	.	.	PUNCT
fcis-11018	120	1	however	however	ADV
fcis-11018	120	2	,	,	PUNCT
fcis-11018	120	3	there	there	PRON
fcis-11018	120	4	are	be	VERB
fcis-11018	120	5	still	still	ADV
fcis-11018	120	6	some	some	DET
fcis-11018	120	7	shortcomings	shortcoming	NOUN
fcis-11018	120	8	in	in	ADP
fcis-11018	120	9	this	this	DET
fcis-11018	120	10	study	study	NOUN
fcis-11018	120	11	that	that	PRON
fcis-11018	120	12	need	need	VERB
fcis-11018	120	13	to	to	PART
fcis-11018	120	14	be	be	AUX
fcis-11018	120	15	improved	improve	VERB
fcis-11018	120	16	.	.	PUNCT
fcis-11018	121	1	first	first	ADV
fcis-11018	121	2	of	of	ADP
fcis-11018	121	3	all	all	PRON
fcis-11018	121	4	,	,	PUNCT
fcis-11018	121	5	the	the	DET
fcis-11018	121	6	data	datum	NOUN
fcis-11018	121	7	set	set	VERB
fcis-11018	121	8	size	size	NOUN
fcis-11018	121	9	in	in	ADP
fcis-11018	121	10	this	this	DET
fcis-11018	121	11	paper	paper	NOUN
fcis-11018	121	12	is	be	AUX
fcis-11018	121	13	small	small	ADJ
fcis-11018	121	14	,	,	PUNCT
fcis-11018	121	15	so	so	SCONJ
fcis-11018	121	16	it	it	PRON
fcis-11018	121	17	is	be	AUX
fcis-11018	121	18	necessary	necessary	ADJ
fcis-11018	121	19	to	to	PART
fcis-11018	121	20	further	far	ADV
fcis-11018	121	21	expand	expand	VERB
fcis-11018	121	22	the	the	DET
fcis-11018	121	23	data	datum	NOUN
fcis-11018	121	24	set	set	VERB
fcis-11018	121	25	size	size	NOUN
fcis-11018	121	26	to	to	PART
fcis-11018	121	27	improve	improve	VERB
fcis-11018	121	28	the	the	DET
fcis-11018	121	29	generalization	generalization	NOUN
fcis-11018	121	30	ability	ability	NOUN
fcis-11018	121	31	of	of	ADP
fcis-11018	121	32	the	the	DET
fcis-11018	121	33	model	model	NOUN
fcis-11018	121	34	.	.	PUNCT
fcis-11018	122	1	secondly	secondly	ADV
fcis-11018	122	2	,	,	PUNCT
fcis-11018	122	3	the	the	DET
fcis-11018	122	4	impact	impact	NOUN
fcis-11018	122	5	of	of	ADP
fcis-11018	122	6	the	the	DET
fcis-11018	122	7	algorithm	algorithm	NOUN
fcis-11018	122	8	on	on	ADP
fcis-11018	122	9	environmental	environmental	ADJ
fcis-11018	122	10	factors	factor	NOUN
fcis-11018	122	11	such	such	ADJ
fcis-11018	122	12	as	as	ADP
fcis-11018	122	13	light	light	NOUN
fcis-11018	122	14	and	and	CCONJ
fcis-11018	122	15	water	water	NOUN
fcis-11018	122	16	quality	quality	NOUN
fcis-11018	122	17	needs	need	VERB
fcis-11018	122	18	to	to	PART
fcis-11018	122	19	be	be	AUX
fcis-11018	122	20	further	far	ADV
fcis-11018	122	21	studied	study	VERB
fcis-11018	122	22	and	and	CCONJ
fcis-11018	122	23	optimized	optimize	VERB
fcis-11018	122	24	.	.	PUNCT
fcis-11018	123	1	in	in	ADP
fcis-11018	123	2	addition	addition	NOUN
fcis-11018	123	3	,	,	PUNCT
fcis-11018	123	4	the	the	DET
fcis-11018	123	5	algorithm	algorithm	NOUN
fcis-11018	123	6	in	in	ADP
fcis-11018	123	7	this	this	DET
fcis-11018	123	8	paper	paper	NOUN
fcis-11018	123	9	needs	need	VERB
fcis-11018	123	10	to	to	PART
fcis-11018	123	11	be	be	AUX
fcis-11018	123	12	further	far	ADV
fcis-11018	123	13	improved	improve	VERB
fcis-11018	123	14	to	to	PART
fcis-11018	123	15	recognize	recognize	VERB
fcis-11018	123	16	the	the	DET
fcis-11018	123	17	behavior	behavior	NOUN
fcis-11018	123	18	of	of	ADP
fcis-11018	123	19	different	different	ADJ
fcis-11018	123	20	kinds	kind	NOUN
fcis-11018	123	21	of	of	ADP
fcis-11018	123	22	fish	fish	NOUN
fcis-11018	123	23	.	.	PUNCT
fcis-11018	124	1	the	the	DET
fcis-11018	124	2	future	future	NOUN
fcis-11018	124	3	can	can	AUX
fcis-11018	124	4	be	be	AUX
fcis-11018	124	5	improved	improve	VERB
fcis-11018	124	6	from	from	ADP
fcis-11018	124	7	the	the	DET
fcis-11018	124	8	following	follow	VERB
fcis-11018	124	9	aspects	aspect	NOUN
fcis-11018	124	10	:	:	PUNCT
fcis-11018	124	11	first	first	ADV
fcis-11018	124	12	,	,	PUNCT
fcis-11018	124	13	the	the	DET
fcis-11018	124	14	algorithm	algorithm	NOUN
fcis-11018	124	15	can	can	AUX
fcis-11018	124	16	be	be	AUX
fcis-11018	124	17	further	far	ADV
fcis-11018	124	18	optimized	optimize	VERB
fcis-11018	124	19	to	to	PART
fcis-11018	124	20	improve	improve	VERB
fcis-11018	124	21	the	the	DET
fcis-11018	124	22	detection	detection	NOUN
fcis-11018	124	23	accuracy	accuracy	NOUN
fcis-11018	124	24	and	and	CCONJ
fcis-11018	124	25	robustness	robustness	NOUN
fcis-11018	124	26	.	.	PUNCT
fcis-11018	125	1	secondly	secondly	ADV
fcis-11018	125	2	,	,	PUNCT
fcis-11018	125	3	it	it	PRON
fcis-11018	125	4	can	can	AUX
fcis-11018	125	5	be	be	AUX
fcis-11018	125	6	combined	combine	VERB
fcis-11018	125	7	with	with	ADP
fcis-11018	125	8	other	other	ADJ
fcis-11018	125	9	technical	technical	ADJ
fcis-11018	125	10	means	mean	NOUN
fcis-11018	125	11	,	,	PUNCT
fcis-11018	125	12	such	such	ADJ
fcis-11018	125	13	as	as	ADP
fcis-11018	125	14	sound	sound	ADJ
fcis-11018	125	15	recognition	recognition	NOUN
fcis-11018	125	16	,	,	PUNCT
fcis-11018	125	17	water	water	NOUN
fcis-11018	125	18	quality	quality	NOUN
fcis-11018	125	19	monitoring	monitoring	NOUN
fcis-11018	125	20	,	,	PUNCT
fcis-11018	125	21	optical	optical	ADJ
fcis-11018	125	22	flow	flow	NOUN
fcis-11018	125	23	method	method	NOUN
fcis-11018	125	24	,	,	PUNCT
fcis-11018	125	25	etc	etc	X
fcis-11018	125	26	.	.	X
fcis-11018	125	27	,	,	PUNCT
fcis-11018	125	28	to	to	PART
fcis-11018	125	29	improve	improve	VERB
fcis-11018	125	30	the	the	DET
fcis-11018	125	31	recognition	recognition	NOUN
fcis-11018	125	32	ability	ability	NOUN
fcis-11018	125	33	of	of	ADP
fcis-11018	125	34	abnormal	abnormal	ADJ
fcis-11018	125	35	behavior	behavior	NOUN
fcis-11018	125	36	of	of	ADP
fcis-11018	125	37	fish	fish	NOUN
fcis-11018	125	38	.	.	PUNCT
fcis-11018	126	1	in	in	ADP
fcis-11018	126	2	addition	addition	NOUN
fcis-11018	126	3	,	,	PUNCT
fcis-11018	126	4	more	more	ADV
fcis-11018	126	5	efficient	efficient	ADJ
fcis-11018	126	6	and	and	CCONJ
fcis-11018	126	7	refined	refined	ADJ
fcis-11018	126	8	data	datum	NOUN
fcis-11018	126	9	acquisition	acquisition	NOUN
fcis-11018	126	10	and	and	CCONJ
fcis-11018	126	11	annotation	annotation	NOUN
fcis-11018	126	12	methods	method	NOUN
fcis-11018	126	13	are	be	AUX
fcis-11018	126	14	explored	explore	VERB
fcis-11018	126	15	to	to	PART
fcis-11018	126	16	improve	improve	VERB
fcis-11018	126	17	the	the	DET
fcis-11018	126	18	quality	quality	NOUN
fcis-11018	126	19	and	and	CCONJ
fcis-11018	126	20	size	size	NOUN
fcis-11018	126	21	of	of	ADP
fcis-11018	126	22	data	datum	NOUN
fcis-11018	126	23	sets	set	NOUN
fcis-11018	126	24	.	.	PUNCT
fcis-11018	127	1	finally	finally	ADV
fcis-11018	127	2	,	,	PUNCT
fcis-11018	127	3	the	the	DET
fcis-11018	127	4	method	method	NOUN
fcis-11018	127	5	can	can	AUX
fcis-11018	127	6	be	be	AUX
fcis-11018	127	7	applied	apply	VERB
fcis-11018	127	8	to	to	ADP
fcis-11018	127	9	the	the	DET
fcis-11018	127	10	actual	actual	ADJ
fcis-11018	127	11	production	production	NOUN
fcis-11018	127	12	to	to	PART
fcis-11018	127	13	realize	realize	VERB
fcis-11018	127	14	real	real	ADJ
fcis-11018	127	15	-	-	PUNCT
fcis-11018	127	16	time	time	NOUN
fcis-11018	127	17	monitoring	monitoring	NOUN
fcis-11018	127	18	and	and	CCONJ
fcis-11018	127	19	early	early	ADJ
fcis-11018	127	20	warning	warning	NOUN
fcis-11018	127	21	of	of	ADP
fcis-11018	127	22	the	the	DET
fcis-11018	127	23	smart	smart	ADJ
fcis-11018	127	24	marine	marine	ADJ
fcis-11018	127	25	pasture	pasture	NOUN
fcis-11018	127	26	,	,	PUNCT
fcis-11018	127	27	and	and	CCONJ
fcis-11018	127	28	improve	improve	VERB
fcis-11018	127	29	the	the	DET
fcis-11018	127	30	efficiency	efficiency	NOUN
fcis-11018	127	31	and	and	CCONJ
fcis-11018	127	32	economic	economic	ADJ
fcis-11018	127	33	benefits	benefit	NOUN
fcis-11018	127	34	of	of	ADP
fcis-11018	127	35	aquaculture	aquaculture	NOUN
fcis-11018	127	36	.	.	PUNCT
fcis-11018	128	1	the	the	DET
fcis-11018	128	2	method	method	NOUN
fcis-11018	128	3	is	be	AUX
fcis-11018	128	4	even	even	ADV
fcis-11018	128	5	applied	apply	VERB
fcis-11018	128	6	to	to	ADP
fcis-11018	128	7	a	a	DET
fcis-11018	128	8	wider	wide	ADJ
fcis-11018	128	9	range	range	NOUN
fcis-11018	128	10	of	of	ADP
fcis-11018	128	11	fields	field	NOUN
fcis-11018	128	12	and	and	CCONJ
fcis-11018	128	13	scenarios	scenario	NOUN
fcis-11018	128	14	,	,	PUNCT
fcis-11018	128	15	such	such	ADJ
fcis-11018	128	16	as	as	ADP
fcis-11018	128	17	aquatic	aquatic	ADJ
fcis-11018	128	18	protection	protection	NOUN
fcis-11018	128	19	,	,	PUNCT
fcis-11018	128	20	to	to	PART
fcis-11018	128	21	meet	meet	VERB
fcis-11018	128	22	the	the	DET
fcis-11018	128	23	needs	need	NOUN
fcis-11018	128	24	of	of	ADP
fcis-11018	128	25	different	different	ADJ
fcis-11018	128	26	fields	field	NOUN
fcis-11018	128	27	.	.	PUNCT
fcis-11018	129	1	finally	finally	ADV
fcis-11018	129	2	,	,	PUNCT
fcis-11018	129	3	the	the	DET
fcis-11018	129	4	method	method	NOUN
fcis-11018	129	5	of	of	ADP
fcis-11018	129	6	fish	fish	NOUN
fcis-11018	129	7	abnormal	abnormal	ADJ
fcis-11018	129	8	behavior	behavior	NOUN
fcis-11018	129	9	recognition	recognition	NOUN
fcis-11018	129	10	proposed	propose	VERB
fcis-11018	129	11	in	in	ADP
fcis-11018	129	12	this	this	DET
fcis-11018	129	13	paper	paper	NOUN
fcis-11018	129	14	has	have	VERB
fcis-11018	129	15	certain	certain	ADJ
fcis-11018	129	16	application	application	NOUN
fcis-11018	129	17	value	value	NOUN
fcis-11018	129	18	and	and	CCONJ
fcis-11018	129	19	research	research	NOUN
fcis-11018	129	20	significance	significance	NOUN
fcis-11018	129	21	,	,	PUNCT
fcis-11018	129	22	but	but	CCONJ
fcis-11018	129	23	it	it	PRON
fcis-11018	129	24	still	still	ADV
fcis-11018	129	25	needs	need	VERB
fcis-11018	129	26	to	to	PART
fcis-11018	129	27	be	be	AUX
fcis-11018	129	28	further	far	ADV
fcis-11018	129	29	perfected	perfect	VERB
fcis-11018	129	30	and	and	CCONJ
fcis-11018	129	31	optimized	optimize	VERB
fcis-11018	129	32	.	.	PUNCT
fcis-11018	130	1	references	reference	NOUN
fcis-11018	130	2	[	[	X
fcis-11018	130	3	1	1	X
fcis-11018	130	4	]	]	PUNCT
fcis-11018	130	5	storbeck	storbeck	PROPN
fcis-11018	130	6	f	f	PROPN
fcis-11018	130	7	,	,	PUNCT
fcis-11018	130	8	daan	daan	PROPN
fcis-11018	130	9	b.	b.	PROPN
fcis-11018	130	10	fish	fish	PROPN
fcis-11018	130	11	species	species	PROPN
fcis-11018	130	12	recognition	recognition	NOUN
fcis-11018	130	13	using	use	VERB
fcis-11018	130	14	computer	computer	NOUN
fcis-11018	130	15	vision	vision	NOUN
fcis-11018	130	16	and	and	CCONJ
fcis-11018	130	17	a	a	DET
fcis-11018	130	18	neural	neural	ADJ
fcis-11018	130	19	network[j	network[j	NOUN
fcis-11018	130	20	]	]	PUNCT
fcis-11018	130	21	.	.	PUNCT
fcis-11018	131	1	fisheries	fishery	NOUN
fcis-11018	131	2	research	research	NOUN
fcis-11018	131	3	,	,	PUNCT
fcis-11018	131	4	2001	2001	NUM
fcis-11018	131	5	,	,	PUNCT
fcis-11018	131	6	51(1):11	51(1):11	NUM
fcis-11018	131	7	-	-	SYM
fcis-11018	131	8	15	15	NUM
fcis-11018	131	9	.	.	PUNCT
fcis-11018	132	1	[	[	X
fcis-11018	132	2	2	2	NUM
fcis-11018	132	3	]	]	PUNCT
fcis-11018	132	4	yuan	yuan	NOUN
fcis-11018	132	5	hongchun	hongchun	PROPN
fcis-11018	132	6	,	,	PUNCT
fcis-11018	132	7	zhang	zhang	PROPN
fcis-11018	132	8	shuo	shuo	PROPN
fcis-11018	132	9	.	.	PUNCT
fcis-11018	133	1	underwater	underwater	ADJ
fcis-11018	133	2	fish	fish	NOUN
fcis-11018	133	3	target	target	NOUN
fcis-11018	133	4	detection	detection	NOUN
fcis-11018	133	5	method	method	NOUN
fcis-11018	133	6	based	base	VERB
fcis-11018	133	7	on	on	ADP
fcis-11018	133	8	faster	fast	ADJ
fcis-11018	133	9	r	r	NOUN
fcis-11018	133	10	-	-	PUNCT
fcis-11018	133	11	cnn	cnn	NOUN
fcis-11018	133	12	and	and	CCONJ
fcis-11018	133	13	image	image	NOUN
fcis-11018	133	14	enhancement	enhancement	NOUN
fcis-11018	133	15	[	[	X
fcis-11018	133	16	j	j	X
fcis-11018	133	17	]	]	X
fcis-11018	133	18	.	.	PUNCT
fcis-11018	134	1	journal	journal	PROPN
fcis-11018	134	2	of	of	ADP
fcis-11018	134	3	dalian	dalian	PROPN
fcis-11018	134	4	ocean	ocean	PROPN
fcis-11018	134	5	university	university	PROPN
fcis-11018	134	6	,	,	PUNCT
fcis-11018	134	7	2020,35(4):612	2020,35(4):612	NUM
fcis-11018	134	8	-	-	SYM
fcis-11018	134	9	619	619	NUM
fcis-11018	134	10	.	.	PUNCT
fcis-11018	135	1	yuan	yuan	PROPN
fcis-11018	135	2	hongchun	hongchun	PROPN
fcis-11018	135	3	,	,	PUNCT
fcis-11018	135	4	zhang	zhang	PROPN
fcis-11018	135	5	shuo	shuo	PROPN
fcis-11018	135	6	.	.	PUNCT
fcis-11018	136	1	detection	detection	NOUN
fcis-11018	136	2	of	of	ADP
fcis-11018	136	3	underwater	underwater	ADJ
fcis-11018	136	4	fish	fish	NOUN
fcis-11018	136	5	based	base	VERB
fcis-11018	136	6	on	on	ADP
fcis-11018	136	7	faster	fast	ADJ
fcis-11018	136	8	r	r	NOUN
fcis-11018	136	9	-	-	PUNCT
fcis-11018	136	10	cnn	cnn	NOUN
fcis-11018	136	11	and	and	CCONJ
fcis-11018	136	12	image	image	NOUN
fcis-11018	136	13	enhancement[j	enhancement[j	ADV
fcis-11018	136	14	]	]	PUNCT
fcis-11018	136	15	.	.	PUNCT
fcis-11018	137	1	journal	journal	PROPN
fcis-11018	137	2	of	of	ADP
fcis-11018	137	3	dalian	dalian	PROPN
fcis-11018	137	4	fisheries	fisheries	PROPN
fcis-11018	137	5	university	university	PROPN
fcis-11018	137	6	,	,	PUNCT
fcis-11018	137	7	2019	2019	NUM
fcis-11018	137	8	,	,	PUNCT
fcis-11018	137	9	35	35	NUM
fcis-11018	137	10	(	(	PUNCT
fcis-11018	137	11	4):612	4):612	NOUN
fcis-11018	137	12	-	-	PUNCT
fcis-11018	137	13	619	619	NUM
fcis-11018	137	14	.	.	PUNCT
fcis-11018	138	1	(	(	PUNCT
fcis-11018	138	2	in	in	ADP
fcis-11018	138	3	chinese	chinese	PROPN
fcis-11018	138	4	)	)	PUNCT
fcis-11018	139	1	[	[	X
fcis-11018	139	2	3	3	NUM
fcis-11018	139	3	]	]	X
fcis-11018	139	4	gray	gray	ADJ
fcis-11018	139	5	p	p	PROPN
fcis-11018	139	6	c	c	PROPN
fcis-11018	139	7	,	,	PUNCT
fcis-11018	139	8	fleishman	fleishman	VERB
fcis-11018	139	9	a	a	DET
fcis-11018	139	10	b	b	NOUN
fcis-11018	139	11	,	,	PUNCT
fcis-11018	139	12	klein	klein	PROPN
fcis-11018	139	13	d	d	PROPN
fcis-11018	139	14	j	j	PROPN
fcis-11018	139	15	,	,	PUNCT
fcis-11018	139	16	et	et	PROPN
fcis-11018	139	17	al	al	PROPN
fcis-11018	139	18	.	.	PUNCT
fcis-11018	140	1	a	a	DET
fcis-11018	140	2	convolutional	convolutional	ADJ
fcis-11018	140	3	neural	neural	ADJ
fcis-11018	140	4	network	network	NOUN
fcis-11018	140	5	for	for	ADP
fcis-11018	140	6	detecting	detect	VERB
fcis-11018	140	7	sea	sea	NOUN
fcis-11018	140	8	turtles	turtle	NOUN
fcis-11018	140	9	in	in	ADP
fcis-11018	140	10	drone	drone	NOUN
fcis-11018	140	11	imagery[j	imagery[j	PROPN
fcis-11018	140	12	]	]	PUNCT
fcis-11018	140	13	.	.	PUNCT
fcis-11018	141	1	methods	method	NOUN
fcis-11018	141	2	in	in	ADP
fcis-11018	141	3	ecology	ecology	NOUN
fcis-11018	141	4	and	and	CCONJ
fcis-11018	141	5	evolution	evolution	NOUN
fcis-11018	141	6	,	,	PUNCT
fcis-11018	141	7	2018	2018	NUM
fcis-11018	141	8	,	,	PUNCT
fcis-11018	141	9	10	10	NUM
fcis-11018	141	10	(	(	PUNCT
fcis-11018	141	11	3	3	NUM
fcis-11018	141	12	)	)	PUNCT
fcis-11018	141	13	:	:	PUNCT
fcis-11018	141	14	345	345	NUM
fcis-11018	141	15	-	-	SYM
fcis-11018	141	16	355	355	NUM
fcis-11018	141	17	.	.	PUNCT
fcis-11018	142	1	[	[	X
fcis-11018	142	2	4	4	NUM
fcis-11018	142	3	]	]	X
fcis-11018	142	4	alsmadi	alsmadi	NOUN
fcis-11018	142	5	m	m	PROPN
fcis-11018	142	6	k	k	PROPN
fcis-11018	142	7	,	,	PUNCT
fcis-11018	142	8	omar	omar	PROPN
fcis-11018	142	9	k	k	PROPN
fcis-11018	142	10	b	b	PROPN
fcis-11018	142	11	,	,	PUNCT
fcis-11018	142	12	noah	noah	PROPN
fcis-11018	142	13	s	s	PROPN
fcis-11018	142	14	a	a	PROPN
fcis-11018	142	15	,	,	PUNCT
fcis-11018	142	16	et	et	PROPN
fcis-11018	142	17	al	al	PROPN
fcis-11018	142	18	.	.	PROPN
fcis-11018	142	19	fish	fish	PROPN
fcis-11018	142	20	recognition	recognition	NOUN
fcis-11018	142	21	based	base	VERB
fcis-11018	142	22	on	on	ADP
fcis-11018	142	23	robust	robust	ADJ
fcis-11018	142	24	features	feature	NOUN
fcis-11018	142	25	extraction	extraction	NOUN
fcis-11018	142	26	from	from	ADP
fcis-11018	142	27	size	size	NOUN
fcis-11018	142	28	and	and	CCONJ
fcis-11018	142	29	shape	shape	NOUN
fcis-11018	142	30	measurements	measurement	NOUN
fcis-11018	142	31	using	use	VERB
fcis-11018	142	32	neural	neural	ADJ
fcis-11018	142	33	network[j	network[j	PROPN
fcis-11018	142	34	]	]	PUNCT
fcis-11018	142	35	.	.	PUNCT
fcis-11018	143	1	journal	journal	PROPN
fcis-11018	143	2	of	of	ADP
fcis-11018	143	3	computer	computer	NOUN
fcis-11018	143	4	science	science	NOUN
fcis-11018	143	5	,	,	PUNCT
fcis-11018	143	6	2010,6(10):1059	2010,6(10):1059	NUM
fcis-11018	143	7	-	-	SYM
fcis-11018	143	8	1065	1065	NUM
fcis-11018	143	9	.	.	PUNCT
fcis-11018	144	1	[	[	X
fcis-11018	144	2	5	5	NUM
fcis-11018	144	3	]	]	X
fcis-11018	144	4	sun	sun	NOUN
fcis-11018	144	5	longqing	longqing	PROPN
fcis-11018	144	6	,	,	PUNCT
fcis-11018	144	7	liu	liu	PROPN
fcis-11018	144	8	ting	ting	PROPN
fcis-11018	144	9	,	,	PUNCT
fcis-11018	144	10	chen	chen	PROPN
fcis-11018	144	11	shuaihua	shuaihua	PROPN
fcis-11018	144	12	,	,	PUNCT
fcis-11018	144	13	et	et	PROPN
fcis-11018	144	14	al	al	PROPN
fcis-11018	144	15	.	.	PROPN
fcis-11018	144	16	research	research	NOUN
fcis-11018	144	17	on	on	ADP
fcis-11018	144	18	multi	multi	ADJ
fcis-11018	144	19	-	-	ADJ
fcis-11018	144	20	target	target	ADJ
fcis-11018	144	21	fish	fish	NOUN
fcis-11018	144	22	object	object	NOUN
fcis-11018	144	23	proposal	proposal	NOUN
fcis-11018	144	24	detection	detection	NOUN
fcis-11018	144	25	algorithm	algorithm	NOUN
fcis-11018	145	1	[	[	X
fcis-11018	145	2	j	j	X
fcis-11018	145	3	]	]	X
fcis-11018	145	4	.	.	PUNCT
fcis-11018	146	1	transactions	transaction	NOUN
fcis-11018	146	2	of	of	ADP
fcis-11018	146	3	the	the	DET
fcis-11018	146	4	chinese	chinese	ADJ
fcis-11018	146	5	society	society	NOUN
fcis-11018	146	6	for	for	ADP
fcis-11018	146	7	agricultural	agricultural	ADJ
fcis-11018	146	8	machinery	machinery	NOUN
fcis-11018	146	9	,	,	PUNCT
fcis-11018	146	10	2019,50(12):260	2019,50(12):260	NUM
fcis-11018	146	11	-	-	SYM
fcis-11018	146	12	267	267	NUM
fcis-11018	146	13	.	.	PUNCT
fcis-11018	147	1	sun	sun	PROPN
fcis-11018	147	2	longqing	longqing	PROPN
fcis-11018	147	3	,	,	PUNCT
fcis-11018	147	4	liu	liu	PROPN
fcis-11018	147	5	ting	ting	PROPN
fcis-11018	147	6	,	,	PUNCT
fcis-11018	147	7	chen	chen	PROPN
fcis-11018	147	8	shuaihua	shuaihua	PROPN
fcis-11018	147	9	,	,	PUNCT
fcis-11018	147	10	et	et	PROPN
fcis-11018	147	11	al	al	PROPN
fcis-11018	147	12	.	.	PUNCT
fcis-11018	148	1	multi	multi	ADJ
fcis-11018	148	2	-	-	ADJ
fcis-11018	148	3	target	target	ADJ
fcis-11018	148	4	fish	fish	NOUN
fcis-11018	148	5	detection	detection	NOUN
fcis-11018	148	6	algorithm	algorithm	NOUN
fcis-11018	148	7	based	base	VERB
fcis-11018	148	8	on	on	ADP
fcis-11018	148	9	object	object	NOUN
fcis-11018	148	10	proposals[j].transactions	proposals[j].transaction	NOUN
fcis-11018	148	11	of	of	ADP
fcis-11018	148	12	the	the	DET
fcis-11018	148	13	chinese	chinese	ADJ
fcis-11018	148	14	society	society	NOUN
fcis-11018	148	15	for	for	ADP
fcis-11018	148	16	agricultural	agricultural	ADJ
fcis-11018	148	17	machinery,2019,50(12):260	machinery,2019,50(12):260	NOUN
fcis-11018	148	18	-	-	PUNCT
fcis-11018	148	19	267.(in	267.(in	NUM
fcis-11018	148	20	chinese	chinese	NOUN
fcis-11018	148	21	)	)	PUNCT
fcis-11018	149	1	[	[	X
fcis-11018	149	2	6	6	NUM
fcis-11018	149	3	]	]	X
fcis-11018	149	4	saberioon	saberioon	PROPN
fcis-11018	149	5	m	m	PROPN
fcis-11018	149	6	m	m	PROPN
fcis-11018	149	7	,	,	PUNCT
fcis-11018	149	8	cisar	cisar	PROPN
fcis-11018	149	9	p.	p.	NOUN
fcis-11018	149	10	automated	automate	VERB
fcis-11018	149	11	multiple	multiple	ADJ
fcis-11018	149	12	fish	fish	NOUN
fcis-11018	149	13	tracking	tracking	NOUN
fcis-11018	149	14	in	in	ADP
fcis-11018	149	15	three	three	NUM
fcis-11018	149	16	-	-	PUNCT
fcis-11018	149	17	dimension	dimension	NOUN
fcis-11018	149	18	using	use	VERB
fcis-11018	149	19	a	a	DET
fcis-11018	149	20	structured	structured	ADJ
fcis-11018	149	21	light	light	ADJ
fcis-11018	149	22	sensor	sensor	NOUN
fcis-11018	149	23	[	[	X
fcis-11018	149	24	j	j	X
fcis-11018	149	25	]	]	X
fcis-11018	149	26	.	.	PUNCT
fcis-11018	150	1	computers	computer	NOUN
fcis-11018	150	2	&	&	CCONJ
fcis-11018	150	3	amp	amp	PROPN
fcis-11018	150	4	;	;	PUNCT
fcis-11018	150	5	electronics	electronic	NOUN
fcis-11018	150	6	in	in	ADP
fcis-11018	150	7	agriculture	agriculture	NOUN
fcis-11018	150	8	,	,	PUNCT
fcis-11018	150	9	2016	2016	NUM
fcis-11018	150	10	,	,	PUNCT
fcis-11018	150	11	121	121	NUM
fcis-11018	150	12	(	(	PUNCT
fcis-11018	150	13	1	1	NUM
fcis-11018	150	14	):	):	PUNCT
fcis-11018	150	15	215	215	NUM
fcis-11018	150	16	-	-	SYM
fcis-11018	150	17	221	221	NUM
fcis-11018	150	18	.	.	PUNCT
fcis-11018	151	1	(	(	PUNCT
fcis-11018	151	2	in	in	ADP
fcis-11018	151	3	chinese	chinese	PROPN
fcis-11018	151	4	)	)	PUNCT
fcis-11018	152	1	[	[	X
fcis-11018	152	2	7	7	NUM
fcis-11018	152	3	]	]	X
fcis-11018	152	4	yu	yu	PROPN
fcis-11018	152	5	bing	bing	NOUN
fcis-11018	152	6	,	,	PUNCT
fcis-11018	152	7	fu	fu	PROPN
fcis-11018	152	8	zetian	zetian	PROPN
fcis-11018	152	9	,	,	PUNCT
fcis-11018	152	10	zhang	zhang	PROPN
fcis-11018	152	11	xiaoshuan	xiaoshuan	PROPN
fcis-11018	152	12	,	,	PUNCT
fcis-11018	152	13	et	et	PROPN
fcis-11018	152	14	al	al	PROPN
fcis-11018	152	15	.	.	PROPN
fcis-11018	152	16	research	research	NOUN
fcis-11018	152	17	on	on	ADP
fcis-11018	152	18	water	water	NOUN
fcis-11018	152	19	quality	quality	NOUN
fcis-11018	152	20	and	and	CCONJ
fcis-11018	152	21	environment	environment	NOUN
fcis-11018	152	22	monitoring	monitoring	NOUN
fcis-11018	152	23	system	system	NOUN
fcis-11018	152	24	of	of	ADP
fcis-11018	152	25	ornamental	ornamental	ADJ
fcis-11018	152	26	fish	fish	NOUN
fcis-11018	152	27	culture	culture	NOUN
fcis-11018	152	28	based	base	VERB
fcis-11018	152	29	on	on	ADP
fcis-11018	152	30	wsn	wsn	PROPN
fcis-11018	152	31	[	[	X
fcis-11018	152	32	j	j	X
fcis-11018	152	33	]	]	X
fcis-11018	152	34	.	.	PUNCT
fcis-11018	153	1	transactions	transaction	NOUN
fcis-11018	153	2	of	of	ADP
fcis-11018	153	3	the	the	DET
fcis-11018	153	4	chinese	chinese	ADJ
fcis-11018	153	5	society	society	NOUN
fcis-11018	153	6	for	for	ADP
fcis-11018	153	7	agricultural	agricultural	ADJ
fcis-11018	153	8	machinery	machinery	NOUN
fcis-11018	153	9	,	,	PUNCT
fcis-11018	153	10	2016,47(1):392	2016,47(1):392	PROPN
fcis-11018	153	11	-	-	SYM
fcis-11018	153	12	400	400	NUM
fcis-11018	153	13	.	.	PUNCT
fcis-11018	154	1	han	han	PROPN
fcis-11018	154	2	yubing	yubing	PROPN
fcis-11018	154	3	,	,	PUNCT
fcis-11018	154	4	fu	fu	PROPN
fcis-11018	154	5	zetian	zetian	PROPN
fcis-11018	154	6	,	,	PUNCT
fcis-11018	154	7	zhang	zhang	PROPN
fcis-11018	154	8	xiaoshuan	xiaoshuan	PROPN
fcis-11018	154	9	,	,	PUNCT
fcis-11018	154	10	et	et	PROPN
fcis-11018	154	11	al	al	PROPN
fcis-11018	154	12	.	.	PUNCT
fcis-11018	155	1	monitoring	monitor	VERB
fcis-11018	155	2	system	system	NOUN
fcis-11018	155	3	of	of	ADP
fcis-11018	155	4	ornamental	ornamental	ADJ
fcis-11018	155	5	fish	fish	NOUN
fcis-11018	155	6	culturing	culture	VERB
fcis-11018	155	7	water	water	NOUN
fcis-11018	155	8	quality	quality	NOUN
fcis-11018	155	9	based	base	VERB
fcis-11018	155	10	on	on	ADP
fcis-11018	155	11	wireless	wireless	ADJ
fcis-11018	155	12	sensor	sensor	NOUN
fcis-11018	155	13	network[j	network[j	NOUN
fcis-11018	155	14	]	]	PUNCT
fcis-11018	155	15	.	.	PUNCT
fcis-11018	156	1	transactions	transaction	NOUN
fcis-11018	156	2	of	of	ADP
fcis-11018	156	3	the	the	DET
fcis-11018	156	4	chinese	chinese	ADJ
fcis-11018	156	5	society	society	NOUN
fcis-11018	156	6	for	for	ADP
fcis-11018	156	7	agricultural	agricultural	ADJ
fcis-11018	156	8	machinery,2016,47(1):392	machinery,2016,47(1):392	NOUN
fcis-11018	156	9	-	-	PUNCT
fcis-11018	156	10	400	400	NUM
fcis-11018	156	11	.	.	PUNCT
fcis-11018	157	1	(	(	PUNCT
fcis-11018	157	2	in	in	ADP
fcis-11018	157	3	chinese	chinese	PROPN
fcis-11018	157	4	)	)	PUNCT
fcis-11018	158	1	[	[	X
fcis-11018	158	2	8	8	NUM
fcis-11018	158	3	]	]	X
fcis-11018	158	4	liu	liu	PROPN
fcis-11018	158	5	hu	hu	PROPN
fcis-11018	158	6	,	,	PUNCT
fcis-11018	158	7	gong	gong	PROPN
fcis-11018	158	8	yu	yu	PROPN
fcis-11018	158	9	,	,	PUNCT
fcis-11018	158	10	zhang	zhang	PROPN
fcis-11018	158	11	biao	biao	PROPN
fcis-11018	158	12	,	,	PUNCT
fcis-11018	158	13	et	et	PROPN
fcis-11018	158	14	al	al	PROPN
fcis-11018	158	15	.	.	PROPN
fcis-11018	158	16	design	design	NOUN
fcis-11018	158	17	and	and	CCONJ
fcis-11018	158	18	optimization	optimization	NOUN
fcis-11018	158	19	of	of	ADP
fcis-11018	158	20	working	work	VERB
fcis-11018	158	21	parameters	parameter	NOUN
fcis-11018	158	22	of	of	ADP
fcis-11018	158	23	fish	fish	NOUN
fcis-11018	158	24	fry	fry	NOUN
fcis-11018	158	25	sorting	sort	VERB
fcis-11018	158	26	machine	machine	NOUN
fcis-11018	158	27	based	base	VERB
fcis-11018	158	28	on	on	ADP
fcis-11018	158	29	edem	edem	PROPN
fcis-11018	159	1	[	[	X
fcis-11018	159	2	j	j	X
fcis-11018	159	3	]	]	X
fcis-11018	159	4	.	.	PUNCT
fcis-11018	160	1	transactions	transaction	NOUN
fcis-11018	160	2	of	of	ADP
fcis-11018	160	3	the	the	DET
fcis-11018	160	4	chinese	chinese	ADJ
fcis-11018	160	5	society	society	NOUN
fcis-11018	160	6	for	for	ADP
fcis-11018	160	7	agricultural	agricultural	ADJ
fcis-11018	160	8	machinery	machinery	NOUN
fcis-11018	160	9	,	,	PUNCT
fcis-11018	160	10	20,51(1	20,51(1	NUM
fcis-11018	160	11	):	):	PUNCT
fcis-11018	160	12	114-121.liu	114-121.liu	NUM
fcis-11018	160	13	hu	hu	PROPN
fcis-11018	160	14	,	,	PUNCT
fcis-11018	160	15	gong	gong	PROPN
fcis-11018	160	16	yu	yu	PROPN
fcis-11018	160	17	,	,	PUNCT
fcis-11018	160	18	zhang	zhang	PROPN
fcis-11018	160	19	biao	biao	PROPN
fcis-11018	160	20	,	,	PUNCT
fcis-11018	160	21	et	et	PROPN
fcis-11018	160	22	al	al	PROPN
fcis-11018	160	23	.	.	PROPN
fcis-11018	160	24	design	design	NOUN
fcis-11018	160	25	and	and	CCONJ
fcis-11018	160	26	optimization	optimization	NOUN
fcis-11018	160	27	of	of	ADP
fcis-11018	160	28	working	work	VERB
fcis-11018	160	29	parameters	parameter	NOUN
fcis-11018	160	30	of	of	ADP
fcis-11018	160	31	fry	fry	NOUN
fcis-11018	160	32	sorting	sort	VERB
fcis-11018	160	33	machine	machine	NOUN
fcis-11018	160	34	based	base	VERB
fcis-11018	160	35	on	on	ADP
fcis-11018	160	36	edem[j	edem[j	PROPN
fcis-11018	160	37	]	]	PUNCT
fcis-11018	160	38	.	.	PUNCT
fcis-11018	161	1	transactions	transaction	NOUN
fcis-11018	161	2	of	of	ADP
fcis-11018	161	3	the	the	DET
fcis-11018	161	4	chinese	chinese	ADJ
fcis-11018	161	5	society	society	NOUN
fcis-11018	161	6	for	for	ADP
fcis-11018	161	7	agricultural	agricultural	ADJ
fcis-11018	161	8	machinery	machinery	NOUN
fcis-11018	161	9	,	,	PUNCT
fcis-11018	161	10	2019,51(1):114	2019,51(1):114	NUM
fcis-11018	161	11	-	-	SYM
fcis-11018	161	12	121.(in	121.(in	NUM
fcis-11018	161	13	chinese	chinese	PROPN
fcis-11018	161	14	)	)	PUNCT
fcis-11018	162	1	[	[	X
fcis-11018	162	2	9	9	NUM
fcis-11018	162	3	]	]	PUNCT
fcis-11018	162	4	colas	cola	NOUN
fcis-11018	162	5	f	f	NOUN
fcis-11018	162	6	,	,	PUNCT
fcis-11018	162	7	tardivel	tardivel	PROPN
fcis-11018	162	8	m	m	NOUN
fcis-11018	162	9	,	,	PUNCT
fcis-11018	162	10	perchoc	perchoc	PROPN
fcis-11018	162	11	j	j	PROPN
fcis-11018	162	12	,	,	PUNCT
fcis-11018	162	13	et	et	PROPN
fcis-11018	162	14	al	al	PROPN
fcis-11018	162	15	.	.	PUNCT
fcis-11018	163	1	the	the	DET
fcis-11018	163	2	zoocam	zoocam	PROPN
fcis-11018	163	3	,	,	PUNCT
fcis-11018	163	4	a	a	DET
fcis-11018	163	5	new	new	ADJ
fcis-11018	163	6	in	in	ADP
fcis-11018	163	7	-	-	PUNCT
fcis-11018	163	8	flow	flow	NOUN
fcis-11018	163	9	imaging	imaging	NOUN
fcis-11018	163	10	system	system	NOUN
fcis-11018	163	11	for	for	ADP
fcis-11018	163	12	fast	fast	ADJ
fcis-11018	163	13	onboard	onboard	ADJ
fcis-11018	163	14	counting	counting	NOUN
fcis-11018	163	15	,	,	PUNCT
fcis-11018	163	16	sizing	sizing	NOUN
fcis-11018	163	17	and	and	CCONJ
fcis-11018	163	18	classification	classification	NOUN
fcis-11018	163	19	of	of	ADP
fcis-11018	163	20	fish	fish	NOUN
fcis-11018	163	21	eggs	egg	NOUN
fcis-11018	163	22	and	and	CCONJ
fcis-11018	163	23	meta	meta	NOUN
fcis-11018	163	24	zooplankton[j	zooplankton[j	NOUN
fcis-11018	163	25	]	]	PUNCT
fcis-11018	163	26	.	.	PUNCT
fcis-11018	164	1	progress	progress	NOUN
fcis-11018	164	2	in	in	ADP
fcis-11018	164	3	oceanography,2017,166(1):54	oceanography,2017,166(1):54	NOUN
fcis-11018	164	4	-	-	PUNCT
fcis-11018	164	5	65	65	NUM
fcis-11018	164	6	.	.	PUNCT
fcis-11018	165	1	[	[	X
fcis-11018	165	2	10	10	NUM
fcis-11018	165	3	]	]	X
fcis-11018	165	4	hsiao	hsiao	PROPN
fcis-11018	165	5	y	y	PROPN
fcis-11018	165	6	h	h	PROPN
fcis-11018	165	7	,	,	PUNCT
fcis-11018	165	8	chen	chen	PROPN
fcis-11018	165	9	c	c	PROPN
fcis-11018	165	10	c	c	PROPN
fcis-11018	165	11	,	,	PUNCT
fcis-11018	165	12	lin	lin	PROPN
fcis-11018	165	13	s	s	PROPN
fcis-11018	165	14	i	i	PROPN
fcis-11018	165	15	,	,	PUNCT
fcis-11018	165	16	et	et	PROPN
fcis-11018	165	17	al	al	PROPN
fcis-11018	165	18	.	.	PUNCT
fcis-11018	165	19	real	real	ADJ
fcis-11018	165	20	-	-	PUNCT
fcis-11018	165	21	world	world	NOUN
fcis-11018	165	22	underwater	underwater	ADJ
fcis-11018	165	23	fish	fish	NOUN
fcis-11018	165	24	recognition	recognition	NOUN
fcis-11018	165	25	and	and	CCONJ
fcis-11018	165	26	identification	identification	NOUN
fcis-11018	165	27	,	,	PUNCT
fcis-11018	165	28	using	use	VERB
fcis-11018	165	29	sparse	sparse	ADJ
fcis-11018	165	30	representation	representation	NOUN
fcis-11018	166	1	[	[	X
fcis-11018	166	2	j	j	X
fcis-11018	166	3	]	]	X
fcis-11018	166	4	.	.	PUNCT
fcis-11018	167	1	ecological	ecological	ADJ
fcis-11018	167	2	informatics,2014,23(1):13	informatics,2014,23(1):13	NOUN
fcis-11018	167	3	-	-	SYM
fcis-11018	167	4	21	21	NUM
fcis-11018	167	5	.	.	PUNCT
fcis-11018	168	1	[	[	X
fcis-11018	168	2	11	11	NUM
fcis-11018	168	3	]	]	PUNCT
fcis-11018	168	4	stobart	stobart	PROPN
fcis-11018	168	5	b	b	PROPN
fcis-11018	168	6	,	,	PUNCT
fcis-11018	168	7	garciacharton	garciacharton	PROPN
fcis-11018	168	8	j	j	PROPN
fcis-11018	168	9	a	a	PROPN
fcis-11018	168	10	,	,	PUNCT
fcis-11018	168	11	espejo	espejo	PROPN
fcis-11018	168	12	c	c	PROPN
fcis-11018	168	13	,	,	PUNCT
fcis-11018	168	14	et	et	PROPN
fcis-11018	168	15	al	al	PROPN
fcis-11018	168	16	.	.	PUNCT
fcis-11018	169	1	a	a	DET
fcis-11018	169	2	baited	bait	VERB
fcis-11018	169	3	underwater	underwater	ADJ
fcis-11018	169	4	video	video	NOUN
fcis-11018	169	5	technique	technique	NOUN
fcis-11018	169	6	to	to	PART
fcis-11018	169	7	assess	assess	VERB
fcis-11018	169	8	shallow	shallow	ADJ
fcis-11018	169	9	-	-	PUNCT
fcis-11018	169	10	water	water	NOUN
fcis-11018	169	11	mediterranean	mediterranean	PROPN
fcis-11018	169	12	fish	fish	NOUN
fcis-11018	169	13	assemblages	assemblage	NOUN
fcis-11018	169	14	:	:	PUNCT
fcis-11018	169	15	methodological	methodological	ADJ
fcis-11018	169	16	evaluation	evaluation	NOUN
fcis-11018	170	1	[	[	X
fcis-11018	170	2	j	j	X
fcis-11018	170	3	]	]	X
fcis-11018	170	4	.	.	PUNCT
fcis-11018	171	1	journal	journal	PROPN
fcis-11018	171	2	of	of	ADP
fcis-11018	171	3	experimental	experimental	ADJ
fcis-11018	171	4	marine	marine	PROPN
fcis-11018	171	5	biology	biology	NOUN
fcis-11018	171	6	&	&	CCONJ
fcis-11018	171	7	amp	amp	PROPN
fcis-11018	171	8	;	;	PUNCT
fcis-11018	171	9	ecology	ecology	NOUN
fcis-11018	171	10	,	,	PUNCT
fcis-11018	171	11	2007345	2007345	NUM
fcis-11018	171	12	,	,	PUNCT
fcis-11018	171	13	(	(	PUNCT
fcis-11018	171	14	2	2	NUM
fcis-11018	171	15	)	)	PUNCT
fcis-11018	171	16	:	:	PUNCT
fcis-11018	171	17	158	158	NUM
fcis-11018	171	18	-	-	SYM
fcis-11018	171	19	174	174	NUM
fcis-11018	171	20	.	.	PUNCT
fcis-11018	172	1	[	[	X
fcis-11018	172	2	12	12	NUM
fcis-11018	172	3	]	]	PUNCT
fcis-11018	172	4	schmid	schmid	PROPN
fcis-11018	172	5	k	k	PROPN
fcis-11018	172	6	,	,	PUNCT
fcis-11018	172	7	reisfilho	reisfilho	PROPN
fcis-11018	172	8	j	j	PROPN
fcis-11018	172	9	a	a	PROPN
fcis-11018	172	10	,	,	PUNCT
fcis-11018	172	11	harvey	harvey	NOUN
fcis-11018	172	12	e	e	NOUN
fcis-11018	172	13	,	,	PUNCT
fcis-11018	172	14	et	et	PROPN
fcis-11018	172	15	al	al	PROPN
fcis-11018	172	16	.	.	PROPN
fcis-11018	172	17	baited	bait	VERB
fcis-11018	172	18	remote	remote	ADJ
fcis-11018	172	19	underwater	underwater	ADJ
fcis-11018	172	20	video	video	NOUN
fcis-11018	172	21	as	as	ADP
fcis-11018	172	22	a	a	DET
fcis-11018	172	23	promising	promising	ADJ
fcis-11018	172	24	nondestructive	nondestructive	ADJ
fcis-11018	172	25	tool	tool	NOUN
fcis-11018	172	26	to	to	PART
fcis-11018	172	27	assess	assess	VERB
fcis-11018	172	28	fish	fish	NOUN
fcis-11018	172	29	assemblages	assemblage	NOUN
fcis-11018	172	30	in	in	ADP
fcis-11018	172	31	clearwater	clearwater	PROPN
fcis-11018	172	32	amazonian	amazonian	PROPN
fcis-11018	172	33	rivers	river	NOUN
fcis-11018	172	34	:	:	PUNCT
fcis-11018	172	35	testing	test	VERB
fcis-11018	172	36	the	the	DET
fcis-11018	172	37	effect	effect	NOUN
fcis-11018	172	38	of	of	ADP
fcis-11018	172	39	bait	bait	NOUN
fcis-11018	172	40	and	and	CCONJ
fcis-11018	172	41	habitat	habitat	ADJ
fcis-11018	172	42	type[j	type[j	NOUN
fcis-11018	172	43	]	]	PUNCT
fcis-11018	172	44	.	.	PUNCT
fcis-11018	173	1	hydrobiologia	hydrobiologia	PROPN
fcis-11018	173	2	,	,	PUNCT
fcis-11018	173	3	2017	2017	NUM
fcis-11018	173	4	,	,	PUNCT
fcis-11018	173	5	784(1):93	784(1):93	NUM
fcis-11018	173	6	-	-	SYM
fcis-11018	173	7	109	109	NUM
fcis-11018	173	8	.	.	PUNCT
fcis-11018	174	1	(	(	PUNCT
fcis-11018	174	2	in	in	ADP
fcis-11018	174	3	chinese	chinese	PROPN
fcis-11018	174	4	)	)	PUNCT
fcis-11018	175	1	[	[	X
fcis-11018	175	2	13	13	NUM
fcis-11018	175	3	]	]	X
fcis-11018	175	4	zhao	zhao	PROPN
fcis-11018	175	5	dean	dean	PROPN
fcis-11018	175	6	,	,	PUNCT
fcis-11018	175	7	liu	liu	PROPN
fcis-11018	175	8	xiaoyang	xiaoyang	PROPN
fcis-11018	175	9	,	,	PUNCT
fcis-11018	175	10	sun	sun	PROPN
fcis-11018	175	11	yueping	yueping	NOUN
fcis-11018	175	12	,	,	PUNCT
fcis-11018	175	13	et	et	PROPN
fcis-11018	175	14	al	al	PROPN
fcis-11018	175	15	.	.	PUNCT
fcis-11018	176	1	underwater	underwater	ADJ
fcis-11018	176	2	mitten	mitten	NOUN
fcis-11018	176	3	crab	crab	NOUN
fcis-11018	176	4	recognition	recognition	NOUN
fcis-11018	176	5	method	method	NOUN
fcis-11018	176	6	based	base	VERB
fcis-11018	176	7	on	on	ADP
fcis-11018	176	8	machine	machine	NOUN
fcis-11018	176	9	vision	vision	NOUN
fcis-11018	177	1	[	[	X
fcis-11018	177	2	j	j	X
fcis-11018	177	3	]	]	X
fcis-11018	177	4	.	.	PUNCT
fcis-11018	178	1	transactions	transaction	NOUN
fcis-11018	178	2	of	of	ADP
fcis-11018	178	3	the	the	DET
fcis-11018	178	4	chinese	chinese	ADJ
fcis-11018	178	5	society	society	NOUN
fcis-11018	178	6	for	for	ADP
fcis-11018	178	7	agricultural	agricultural	ADJ
fcis-11018	178	8	machinery	machinery	NOUN
fcis-11018	178	9	,	,	PUNCT
fcis-11018	178	10	2019,50(3):151	2019,50(3):151	NOUN
fcis-11018	178	11	-	-	SYM
fcis-11018	178	12	158.zhao	158.zhao	NUM
fcis-11018	178	13	dean	dean	NOUN
fcis-11018	178	14	,	,	PUNCT
fcis-11018	178	15	liu	liu	PROPN
fcis-11018	178	16	xiaoyang	xiaoyang	PROPN
fcis-11018	178	17	,	,	PUNCT
fcis-11018	178	18	sun	sun	PROPN
fcis-11018	178	19	yueping	yueping	NOUN
fcis-11018	178	20	,	,	PUNCT
fcis-11018	178	21	et	et	PROPN
fcis-11018	178	22	al	al	PROPN
fcis-11018	178	23	.	.	PUNCT
fcis-11018	178	24	detection	detection	NOUN
fcis-11018	178	25	of	of	ADP
fcis-11018	178	26	underwater	underwater	ADJ
fcis-11018	178	27	crabs	crab	NOUN
fcis-11018	178	28	based	base	VERB
fcis-11018	178	29	on	on	ADP
fcis-11018	178	30	machine	machine	NOUN
fcis-11018	178	31	vision[j	vision[j	PROPN
fcis-11018	178	32	]	]	PUNCT
fcis-11018	178	33	.	.	PUNCT
fcis-11018	179	1	transactions	transaction	NOUN
fcis-11018	179	2	of	of	ADP
fcis-11018	179	3	the	the	DET
fcis-11018	179	4	chinese	chinese	ADJ
fcis-11018	179	5	society	society	NOUN
fcis-11018	179	6	for	for	ADP
fcis-11018	179	7	agricultural	agricultural	ADJ
fcis-11018	179	8	machinery,2019,50(3):151	machinery,2019,50(3):151	NOUN
fcis-11018	179	9	-	-	PUNCT
fcis-11018	179	10	158.(in	158.(in	NUM
fcis-11018	179	11	chinese	chinese	NOUN
fcis-11018	179	12	)	)	PUNCT
fcis-11018	180	1	[	[	X
fcis-11018	180	2	14	14	NUM
fcis-11018	180	3	]	]	X
fcis-11018	180	4	qin	qin	PROPN
fcis-11018	180	5	xuebiao	xuebiao	PROPN
fcis-11018	180	6	,	,	PUNCT
fcis-11018	180	7	huang	huang	PROPN
fcis-11018	180	8	dongmei	dongmei	PROPN
fcis-11018	180	9	,	,	PUNCT
fcis-11018	180	10	song	song	PROPN
fcis-11018	180	11	wei	wei	PROPN
fcis-11018	180	12	et	et	PROPN
fcis-11018	180	13	al	al	PROPN
fcis-11018	180	14	.	.	PROPN
fcis-11018	180	15	fish	fish	PROPN
fcis-11018	180	16	detection	detection	NOUN
fcis-11018	180	17	method	method	NOUN
fcis-11018	180	18	based	base	VERB
fcis-11018	180	19	on	on	ADP
fcis-11018	180	20	multiple	multiple	ADJ
fcis-11018	180	21	enhancement	enhancement	NOUN
fcis-11018	180	22	and	and	CCONJ
fcis-11018	180	23	output	output	NOUN
fcis-11018	180	24	of	of	ADP
fcis-11018	180	25	fuzzy	fuzzy	ADJ
fcis-11018	180	26	underwater	underwater	ADJ
fcis-11018	180	27	images	image	NOUN
fcis-11018	180	28	[	[	X
fcis-11018	180	29	j	j	X
fcis-11018	180	30	]	]	X
fcis-11018	180	31	.	.	PUNCT
fcis-11018	181	1	transactions	transaction	NOUN
fcis-11018	181	2	of	of	ADP
fcis-11018	181	3	the	the	DET
fcis-11018	181	4	chinese	chinese	ADJ
fcis-11018	181	5	society	society	NOUN
fcis-11018	181	6	for	for	ADP
fcis-11018	181	7	agricultural	agricultural	ADJ
fcis-11018	181	8	machinery,2022,53(07):243	machinery,2022,53(07):243	PROPN
fcis-11018	181	9	-	-	PUNCT
fcis-11018	181	10	249	249	NUM
fcis-11018	181	11	.	.	PUNCT
fcis-11018	182	1	48	48	NUM
fcis-11018	183	1	[	[	SYM
fcis-11018	183	2	15	15	NUM
fcis-11018	183	3	]	]	X
fcis-11018	183	4	dong	dong	NOUN
fcis-11018	183	5	gang	gang	PROPN
fcis-11018	183	6	,	,	PUNCT
fcis-11018	183	7	xie	xie	PROPN
fcis-11018	183	8	weicheng	weicheng	PROPN
fcis-11018	183	9	,	,	PUNCT
fcis-11018	183	10	huang	huang	PROPN
fcis-11018	183	11	xiaolong	xiaolong	PROPN
fcis-11018	183	12	et	et	PROPN
fcis-11018	183	13	al	al	PROPN
fcis-11018	183	14	.	.	PROPN
fcis-11018	183	15	overview	overview	NOUN
fcis-11018	183	16	of	of	ADP
fcis-11018	183	17	small	small	ADJ
fcis-11018	183	18	target	target	NOUN
fcis-11018	183	19	detection	detection	NOUN
fcis-11018	183	20	algorithms	algorithm	NOUN
fcis-11018	183	21	in	in	ADP
fcis-11018	183	22	deep	deep	ADJ
fcis-11018	183	23	learning	learning	NOUN
fcis-11018	184	1	[	[	X
fcis-11018	184	2	j	j	X
fcis-11018	184	3	]	]	X
fcis-11018	184	4	.	.	PUNCT
fcis-11018	185	1	computer	computer	NOUN
fcis-11018	185	2	engineering	engineering	NOUN
fcis-11018	185	3	and	and	CCONJ
fcis-11018	185	4	applications,2023,59(11):16	applications,2023,59(11):16	NOUN
fcis-11018	185	5	-	-	SYM
fcis-11018	185	6	27	27	NUM
fcis-11018	185	7	.	.	PUNCT
fcis-11018	186	1	(	(	PUNCT
fcis-11018	186	2	in	in	ADP
fcis-11018	186	3	chinese	chinese	PROPN
fcis-11018	186	4	)	)	PUNCT
fcis-11018	187	1	[	[	X
fcis-11018	187	2	16	16	NUM
fcis-11018	187	3	]	]	X
fcis-11018	187	4	redmon	redmon	PROPN
fcis-11018	187	5	j	j	PROPN
fcis-11018	187	6	,	,	PUNCT
fcis-11018	187	7	divvala	divvala	PROPN
fcis-11018	187	8	s	s	PROPN
fcis-11018	187	9	,	,	PUNCT
fcis-11018	187	10	girshick	girshick	ADJ
fcis-11018	187	11	r	r	NOUN
fcis-11018	187	12	,	,	PUNCT
fcis-11018	187	13	et	et	PROPN
fcis-11018	187	14	al	al	PROPN
fcis-11018	187	15	.	.	PUNCT
fcis-11018	188	1	you	you	PRON
fcis-11018	188	2	only	only	ADV
fcis-11018	188	3	look	look	VERB
fcis-11018	188	4	once	once	ADV
fcis-11018	188	5	:	:	PUNCT
fcis-11018	188	6	unified	unified	ADJ
fcis-11018	188	7	,	,	PUNCT
fcis-11018	188	8	real	real	ADJ
fcis-11018	188	9	-	-	PUNCT
fcis-11018	188	10	time	time	NOUN
fcis-11018	188	11	object	object	NOUN
fcis-11018	188	12	detection	detection	NOUN
fcis-11018	188	13	.	.	PUNCT
fcis-11018	189	1	proceedings	proceeding	NOUN
fcis-11018	189	2	of	of	ADP
fcis-11018	189	3	the	the	DET
fcis-11018	189	4	2016	2016	NUM
fcis-11018	189	5	ieee	ieee	NOUN
fcis-11018	189	6	conference	conference	NOUN
fcis-11018	189	7	on	on	ADP
fcis-11018	189	8	computer	computer	NOUN
fcis-11018	189	9	vision	vision	NOUN
fcis-11018	189	10	and	and	CCONJ
fcis-11018	189	11	pattern	pattern	NOUN
fcis-11018	189	12	recognition	recognition	NOUN
fcis-11018	189	13	.	.	PUNCT
fcis-11018	190	1	las	las	PROPN
fcis-11018	190	2	vegas	vegas	PROPN
fcis-11018	190	3	:	:	PUNCT
fcis-11018	190	4	ieee	ieee	NOUN
fcis-11018	190	5	,	,	PUNCT
fcis-11018	190	6	2016	2016	NUM
fcis-11018	190	7	.	.	PUNCT
fcis-11018	191	1	779–788	779–788	NUM
fcis-11018	191	2	.	.	PUNCT
fcis-11018	192	1	[	[	X
fcis-11018	192	2	17	17	NUM
fcis-11018	192	3	]	]	PUNCT
fcis-11018	192	4	research	research	NOUN
fcis-11018	192	5	review	review	NOUN
fcis-11018	192	6	on	on	ADP
fcis-11018	192	7	yolo	yolo	PROPN
fcis-11018	192	8	based	base	VERB
fcis-11018	192	9	autonomous	autonomous	ADJ
fcis-11018	192	10	driving	driving	NOUN
fcis-11018	192	11	target	target	NOUN
fcis-11018	192	12	detection	detection	NOUN
fcis-11018	192	13	.	.	PUNCT
fcis-11018	193	1	computer	computer	NOUN
fcis-11018	193	2	engineering	engineering	NOUN
fcis-11018	193	3	and	and	CCONJ
fcis-11018	193	4	applications	application	NOUN
fcis-11018	193	5	,	,	PUNCT
fcis-11018	193	6	2022	2022	NUM
fcis-11018	193	7	,	,	PUNCT
fcis-11018	193	8	58	58	NUM
fcis-11018	193	9	(	(	PUNCT
fcis-11018	193	10	15	15	NUM
fcis-11018	193	11	):	):	PUNCT
fcis-11018	193	12	68	68	NUM
fcis-11018	193	13	-	-	SYM
fcis-11018	193	14	77	77	NUM
fcis-11018	193	15	.	.	PUNCT
fcis-11018	194	1	(	(	PUNCT
fcis-11018	194	2	in	in	ADP
fcis-11018	194	3	chinese	chinese	PROPN
fcis-11018	194	4	)	)	PUNCT
fcis-11018	195	1	[	[	X
fcis-11018	195	2	doi	doi	NOUN
fcis-11018	195	3	:	:	PUNCT
fcis-11018	195	4	10.3778	10.3778	NUM
fcis-11018	195	5	/	/	SYM
fcis-11018	195	6	j.issn.1002	j.issn.1002	NOUN
fcis-11018	195	7	-	-	PUNCT
fcis-11018	195	8	8331	8331	NUM
fcis-11018	195	9	.	.	PUNCT
fcis-11018	196	1	22030310	22030310	NUM
fcis-11018	196	2	]	]	PUNCT
fcis-11018	196	3	.	.	PUNCT
fcis-11018	197	1	[	[	X
fcis-11018	197	2	18	18	NUM
fcis-11018	197	3	]	]	X
fcis-11018	197	4	wang	wang	PROPN
fcis-11018	197	5	c	c	PROPN
fcis-11018	197	6	,	,	PUNCT
fcis-11018	197	7	wang	wang	PROPN
fcis-11018	197	8	h	h	PROPN
fcis-11018	197	9	,	,	PUNCT
fcis-11018	197	10	yu	yu	PROPN
fcis-11018	197	11	f	f	AUX
fcis-11018	197	12	,	,	PUNCT
fcis-11018	197	13	et	et	PROPN
fcis-11018	197	14	al	al	PROPN
fcis-11018	197	15	.	.	PUNCT
fcis-11018	198	1	a	a	DET
fcis-11018	198	2	high	high	ADJ
fcis-11018	198	3	-	-	PUNCT
fcis-11018	198	4	precision	precision	NOUN
fcis-11018	198	5	fast	fast	ADJ
fcis-11018	198	6	smoky	smoky	ADJ
fcis-11018	198	7	vehicle	vehicle	NOUN
fcis-11018	198	8	detection	detection	NOUN
fcis-11018	198	9	method	method	NOUN
fcis-11018	198	10	based	base	VERB
fcis-11018	198	11	on	on	ADP
fcis-11018	198	12	improved	improved	ADJ
fcis-11018	198	13	yolov8	yolov8	NOUN
fcis-11018	198	14	network	network	NOUN
fcis-11018	198	15	[	[	X
fcis-11018	198	16	c]//	c]//	PROPN
fcis-11018	198	17	ieee	ieee	PROPN
fcis-11018	198	18	international	international	ADJ
fcis-11018	198	19	conference	conference	NOUN
fcis-11018	198	20	on	on	ADP
fcis-11018	198	21	artificial	artificial	ADJ
fcis-11018	198	22	intelligence	intelligence	NOUN
fcis-11018	198	23	and	and	CCONJ
fcis-11018	198	24	industrial	industrial	ADJ
fcis-11018	198	25	design	design	NOUN
fcis-11018	198	26	(	(	PUNCT
fcis-11018	198	27	aiid	aiid	PROPN
fcis-11018	198	28	)	)	PUNCT
fcis-11018	198	29	,	,	PUNCT
fcis-11018	198	30	2022:255	2022:255	PROPN
fcis-11018	198	31	-	-	SYM
fcis-11018	198	32	259	259	NUM
fcis-11018	198	33	.	.	PUNCT
fcis-11018	199	1	[	[	X
fcis-11018	199	2	19	19	NUM
fcis-11018	199	3	]	]	X
fcis-11018	199	4	yang	yang	PROPN
fcis-11018	199	5	feng	feng	PROPN
fcis-11018	199	6	,	,	PUNCT
fcis-11018	199	7	ding	ding	NOUN
fcis-11018	199	8	zhitong	zhitong	PROPN
fcis-11018	199	9	,	,	PUNCT
fcis-11018	199	10	xing	xing	PROPN
fcis-11018	199	11	mengmeng	mengmeng	PROPN
fcis-11018	199	12	et	et	PROPN
fcis-11018	199	13	al	al	PROPN
fcis-11018	199	14	.	.	PUNCT
fcis-11018	200	1	an	an	DET
fcis-11018	200	2	overview	overview	NOUN
fcis-11018	200	3	of	of	ADP
fcis-11018	200	4	object	object	NOUN
fcis-11018	200	5	detection	detection	NOUN
fcis-11018	200	6	algorithm	algorithm	NOUN
fcis-11018	200	7	improvement	improvement	NOUN
fcis-11018	200	8	in	in	ADP
fcis-11018	200	9	deep	deep	ADJ
fcis-11018	200	10	learning	learning	NOUN
fcis-11018	201	1	[	[	X
fcis-11018	201	2	j	j	X
fcis-11018	201	3	]	]	X
fcis-11018	201	4	.	.	PUNCT
fcis-11018	202	1	computer	computer	NOUN
fcis-11018	202	2	engineering	engineering	NOUN
fcis-11018	202	3	and	and	CCONJ
fcis-11018	202	4	applications	application	NOUN
fcis-11018	202	5	,	,	PUNCT
fcis-11018	202	6	2023	2023	NUM
fcis-11018	202	7	,	,	PUNCT
fcis-11018	202	8	59	59	NUM
fcis-11018	202	9	(	(	PUNCT
fcis-11018	202	10	11):115	11):115	NUM
fcis-11018	202	11	.	.	PUNCT
fcis-11018	203	1	(	(	PUNCT
fcis-11018	203	2	in	in	ADP
fcis-11018	203	3	chinese	chinese	ADJ
fcis-11018	203	4	)	)	PUNCT