id	sid	tid	token	lemma	pos
fcis-6363	1	1	frontiers	frontier	NOUN
fcis-6363	1	2	in	in	ADP
fcis-6363	1	3	computing	computing	NOUN
fcis-6363	1	4	and	and	CCONJ
fcis-6363	1	5	intelligent	intelligent	ADJ
fcis-6363	1	6	systems	system	NOUN
fcis-6363	1	7	issn	issn	VERB
fcis-6363	1	8	:	:	PUNCT
fcis-6363	1	9	2832	2832	NUM
fcis-6363	1	10	-	-	SYM
fcis-6363	1	11	6024	6024	NUM
fcis-6363	1	12	|	|	NOUN
fcis-6363	1	13	vol	vol	NOUN
fcis-6363	1	14	.	.	PROPN
fcis-6363	2	1	3	3	NUM
fcis-6363	2	2	,	,	PUNCT
fcis-6363	2	3	no	no	INTJ
fcis-6363	2	4	.	.	NOUN
fcis-6363	2	5	1	1	NUM
fcis-6363	2	6	,	,	PUNCT
fcis-6363	2	7	2023	2023	NUM
fcis-6363	2	8	173	173	NUM
fcis-6363	2	9	detection	detection	NOUN
fcis-6363	2	10	of	of	ADP
fcis-6363	2	11	floating	float	VERB
fcis-6363	2	12	objects	object	NOUN
fcis-6363	2	13	in	in	ADP
fcis-6363	2	14	river	river	NOUN
fcis-6363	2	15	based	base	VERB
fcis-6363	2	16	on	on	ADP
fcis-6363	2	17	improved	improved	ADJ
fcis-6363	2	18	hrnet	hrnet	NOUN
fcis-6363	2	19	qingtai	qingtai	PROPN
fcis-6363	2	20	li	li	PROPN
fcis-6363	2	21	college	college	PROPN
fcis-6363	2	22	of	of	ADP
fcis-6363	2	23	electronic	electronic	ADJ
fcis-6363	2	24	and	and	CCONJ
fcis-6363	2	25	information	information	NOUN
fcis-6363	2	26	,	,	PUNCT
fcis-6363	2	27	southwest	southwest	PROPN
fcis-6363	2	28	minzu	minzu	PROPN
fcis-6363	2	29	university	university	PROPN
fcis-6363	2	30	,	,	PUNCT
fcis-6363	2	31	chengdu	chengdu	PROPN
fcis-6363	2	32	610041	610041	NUM
fcis-6363	2	33	,	,	PUNCT
fcis-6363	2	34	china	china	PROPN
fcis-6363	2	35	.	.	PUNCT
fcis-6363	3	1	abstract	abstract	ADJ
fcis-6363	3	2	:	:	PUNCT
fcis-6363	3	3	human	human	ADJ
fcis-6363	3	4	activities	activity	NOUN
fcis-6363	3	5	and	and	CCONJ
fcis-6363	3	6	other	other	ADJ
fcis-6363	3	7	factors	factor	NOUN
fcis-6363	3	8	lead	lead	VERB
fcis-6363	3	9	to	to	ADP
fcis-6363	3	10	a	a	DET
fcis-6363	3	11	variety	variety	NOUN
fcis-6363	3	12	of	of	ADP
fcis-6363	3	13	floating	float	VERB
fcis-6363	3	14	objects	object	NOUN
fcis-6363	3	15	in	in	ADP
fcis-6363	3	16	rivers	river	NOUN
fcis-6363	3	17	,	,	PUNCT
fcis-6363	3	18	which	which	PRON
fcis-6363	3	19	seriously	seriously	ADV
fcis-6363	3	20	affect	affect	VERB
fcis-6363	3	21	the	the	DET
fcis-6363	3	22	quality	quality	NOUN
fcis-6363	3	23	of	of	ADP
fcis-6363	3	24	human	human	ADJ
fcis-6363	3	25	life	life	NOUN
fcis-6363	3	26	and	and	CCONJ
fcis-6363	3	27	natural	natural	ADJ
fcis-6363	3	28	ecological	ecological	ADJ
fcis-6363	3	29	environment	environment	NOUN
fcis-6363	3	30	.	.	PUNCT
fcis-6363	4	1	it	it	PRON
fcis-6363	4	2	has	have	AUX
fcis-6363	4	3	become	become	VERB
fcis-6363	4	4	a	a	DET
fcis-6363	4	5	widely	widely	ADV
fcis-6363	4	6	concerned	concerned	ADJ
fcis-6363	4	7	problem	problem	NOUN
fcis-6363	4	8	for	for	ADP
fcis-6363	4	9	residents	resident	NOUN
fcis-6363	4	10	and	and	CCONJ
fcis-6363	4	11	needs	need	VERB
fcis-6363	4	12	to	to	PART
fcis-6363	4	13	be	be	AUX
fcis-6363	4	14	solved	solve	VERB
fcis-6363	4	15	urgently	urgently	ADV
fcis-6363	4	16	.	.	PUNCT
fcis-6363	5	1	relying	rely	VERB
fcis-6363	5	2	on	on	ADP
fcis-6363	5	3	manual	manual	ADJ
fcis-6363	5	4	inspection	inspection	NOUN
fcis-6363	5	5	to	to	PART
fcis-6363	5	6	find	find	VERB
fcis-6363	5	7	floating	float	VERB
fcis-6363	5	8	objects	object	NOUN
fcis-6363	5	9	is	be	AUX
fcis-6363	5	10	extremely	extremely	ADV
fcis-6363	5	11	low	low	ADJ
fcis-6363	5	12	efficiency	efficiency	NOUN
fcis-6363	5	13	,	,	PUNCT
fcis-6363	5	14	urgent	urgent	ADJ
fcis-6363	5	15	need	need	NOUN
fcis-6363	5	16	of	of	ADP
fcis-6363	5	17	intelligent	intelligent	ADJ
fcis-6363	5	18	technology	technology	NOUN
fcis-6363	5	19	to	to	PART
fcis-6363	5	20	detect	detect	VERB
fcis-6363	5	21	and	and	CCONJ
fcis-6363	5	22	warn	warn	VERB
fcis-6363	5	23	in	in	ADP
fcis-6363	5	24	time	time	NOUN
fcis-6363	5	25	.	.	PUNCT
fcis-6363	6	1	to	to	PART
fcis-6363	6	2	solve	solve	VERB
fcis-6363	6	3	the	the	DET
fcis-6363	6	4	problem	problem	NOUN
fcis-6363	6	5	of	of	ADP
fcis-6363	6	6	river	river	NOUN
fcis-6363	6	7	floating	float	VERB
fcis-6363	6	8	object	object	NOUN
fcis-6363	6	9	detection	detection	NOUN
fcis-6363	6	10	,	,	PUNCT
fcis-6363	6	11	we	we	PRON
fcis-6363	6	12	proposed	propose	VERB
fcis-6363	6	13	an	an	DET
fcis-6363	6	14	improved	improved	ADJ
fcis-6363	6	15	hrnet	hrnet	NOUN
fcis-6363	6	16	method	method	NOUN
fcis-6363	6	17	for	for	ADP
fcis-6363	6	18	river	river	NOUN
fcis-6363	6	19	floating	float	VERB
fcis-6363	6	20	object	object	NOUN
fcis-6363	6	21	detection	detection	NOUN
fcis-6363	6	22	.	.	PUNCT
fcis-6363	7	1	trunk	trunk	NOUN
fcis-6363	7	2	network	network	NOUN
fcis-6363	7	3	hrnet	hrnet	NOUN
fcis-6363	7	4	was	be	AUX
fcis-6363	7	5	used	use	VERB
fcis-6363	7	6	to	to	PART
fcis-6363	7	7	replace	replace	VERB
fcis-6363	7	8	the	the	DET
fcis-6363	7	9	original	original	ADJ
fcis-6363	7	10	alexnet	alexnet	ADJ
fcis-6363	7	11	trunk	trunk	NOUN
fcis-6363	7	12	network	network	NOUN
fcis-6363	7	13	of	of	ADP
fcis-6363	7	14	faster	fast	ADJ
fcis-6363	7	15	-	-	PUNCT
fcis-6363	7	16	rcnn	rcnn	NOUN
fcis-6363	7	17	to	to	PART
fcis-6363	7	18	detect	detect	VERB
fcis-6363	7	19	river	river	NOUN
fcis-6363	7	20	floating	float	VERB
fcis-6363	7	21	object	object	NOUN
fcis-6363	7	22	,	,	PUNCT
fcis-6363	7	23	which	which	PRON
fcis-6363	7	24	enhanced	enhance	VERB
fcis-6363	7	25	the	the	DET
fcis-6363	7	26	feature	feature	NOUN
fcis-6363	7	27	extraction	extraction	NOUN
fcis-6363	7	28	ability	ability	NOUN
fcis-6363	7	29	.	.	PUNCT
fcis-6363	8	1	a	a	DET
fcis-6363	8	2	backbone	backbone	NOUN
fcis-6363	8	3	combining	combine	VERB
fcis-6363	8	4	densenet	densenet	NOUN
fcis-6363	8	5	and	and	CCONJ
fcis-6363	8	6	hrnet	hrnet	NOUN
fcis-6363	8	7	is	be	AUX
fcis-6363	8	8	proposed	propose	VERB
fcis-6363	8	9	to	to	PART
fcis-6363	8	10	optimize	optimize	VERB
fcis-6363	8	11	the	the	DET
fcis-6363	8	12	ability	ability	NOUN
fcis-6363	8	13	to	to	PART
fcis-6363	8	14	extract	extract	VERB
fcis-6363	8	15	details	detail	NOUN
fcis-6363	8	16	and	and	CCONJ
fcis-6363	8	17	improve	improve	VERB
fcis-6363	8	18	the	the	DET
fcis-6363	8	19	detection	detection	NOUN
fcis-6363	8	20	accuracy	accuracy	NOUN
fcis-6363	8	21	.	.	PUNCT
fcis-6363	9	1	keywords	keyword	NOUN
fcis-6363	9	2	:	:	PUNCT
fcis-6363	9	3	river	river	NOUN
fcis-6363	9	4	floating	float	VERB
fcis-6363	9	5	object	object	NOUN
fcis-6363	9	6	;	;	PUNCT
fcis-6363	9	7	target	target	NOUN
fcis-6363	9	8	detection	detection	NOUN
fcis-6363	9	9	;	;	PUNCT
fcis-6363	9	10	hrnet	hrnet	NOUN
fcis-6363	9	11	.	.	PUNCT
fcis-6363	10	1	1	1	X
fcis-6363	10	2	.	.	X
fcis-6363	10	3	introduction	introduction	NOUN
fcis-6363	10	4	fresh	fresh	ADJ
fcis-6363	10	5	water	water	NOUN
fcis-6363	10	6	resource	resource	NOUN
fcis-6363	10	7	is	be	AUX
fcis-6363	10	8	an	an	DET
fcis-6363	10	9	extremely	extremely	ADV
fcis-6363	10	10	important	important	ADJ
fcis-6363	10	11	natural	natural	ADJ
fcis-6363	10	12	resource	resource	NOUN
fcis-6363	10	13	,	,	PUNCT
fcis-6363	10	14	which	which	PRON
fcis-6363	10	15	is	be	AUX
fcis-6363	10	16	closely	closely	ADV
fcis-6363	10	17	related	relate	VERB
fcis-6363	10	18	to	to	ADP
fcis-6363	10	19	our	our	PRON
fcis-6363	10	20	human	human	ADJ
fcis-6363	10	21	life	life	NOUN
fcis-6363	10	22	.	.	PUNCT
fcis-6363	11	1	with	with	ADP
fcis-6363	11	2	the	the	DET
fcis-6363	11	3	rapid	rapid	ADJ
fcis-6363	11	4	development	development	NOUN
fcis-6363	11	5	of	of	ADP
fcis-6363	11	6	industry	industry	NOUN
fcis-6363	11	7	,	,	PUNCT
fcis-6363	11	8	environmental	environmental	ADJ
fcis-6363	11	9	problems	problem	NOUN
fcis-6363	11	10	have	have	AUX
fcis-6363	11	11	been	be	AUX
fcis-6363	11	12	ignored	ignore	VERB
fcis-6363	11	13	by	by	ADP
fcis-6363	11	14	people	people	NOUN
fcis-6363	11	15	,	,	PUNCT
fcis-6363	11	16	which	which	PRON
fcis-6363	11	17	leads	lead	VERB
fcis-6363	11	18	to	to	ADP
fcis-6363	11	19	the	the	DET
fcis-6363	11	20	increasingly	increasingly	ADV
fcis-6363	11	21	serious	serious	ADJ
fcis-6363	11	22	problem	problem	NOUN
fcis-6363	11	23	of	of	ADP
fcis-6363	11	24	water	water	NOUN
fcis-6363	11	25	pollution	pollution	NOUN
fcis-6363	11	26	.	.	PUNCT
fcis-6363	12	1	as	as	ADP
fcis-6363	12	2	a	a	DET
fcis-6363	12	3	component	component	NOUN
fcis-6363	12	4	of	of	ADP
fcis-6363	12	5	fresh	fresh	ADJ
fcis-6363	12	6	water	water	NOUN
fcis-6363	12	7	resources	resource	NOUN
fcis-6363	12	8	,	,	PUNCT
fcis-6363	12	9	rivers	river	NOUN
fcis-6363	12	10	play	play	VERB
fcis-6363	12	11	a	a	DET
fcis-6363	12	12	decisive	decisive	ADJ
fcis-6363	12	13	role	role	NOUN
fcis-6363	12	14	in	in	ADP
fcis-6363	12	15	providing	provide	VERB
fcis-6363	12	16	drinking	drinking	NOUN
fcis-6363	12	17	water	water	NOUN
fcis-6363	12	18	and	and	CCONJ
fcis-6363	12	19	maintaining	maintain	VERB
fcis-6363	12	20	the	the	DET
fcis-6363	12	21	ecological	ecological	ADJ
fcis-6363	12	22	environment	environment	NOUN
fcis-6363	12	23	.	.	PUNCT
fcis-6363	13	1	however	however	ADV
fcis-6363	13	2	,	,	PUNCT
fcis-6363	13	3	human	human	ADJ
fcis-6363	13	4	activities	activity	NOUN
fcis-6363	13	5	and	and	CCONJ
fcis-6363	13	6	other	other	ADJ
fcis-6363	13	7	factors	factor	NOUN
fcis-6363	13	8	lead	lead	VERB
fcis-6363	13	9	to	to	ADP
fcis-6363	13	10	a	a	DET
fcis-6363	13	11	variety	variety	NOUN
fcis-6363	13	12	of	of	ADP
fcis-6363	13	13	floating	float	VERB
fcis-6363	13	14	objects	object	NOUN
fcis-6363	13	15	in	in	ADP
fcis-6363	13	16	rivers	river	NOUN
fcis-6363	13	17	,	,	PUNCT
fcis-6363	13	18	which	which	PRON
fcis-6363	13	19	seriously	seriously	ADV
fcis-6363	13	20	affect	affect	VERB
fcis-6363	13	21	the	the	DET
fcis-6363	13	22	quality	quality	NOUN
fcis-6363	13	23	of	of	ADP
fcis-6363	13	24	human	human	ADJ
fcis-6363	13	25	life	life	NOUN
fcis-6363	13	26	and	and	CCONJ
fcis-6363	13	27	natural	natural	ADJ
fcis-6363	13	28	ecological	ecological	ADJ
fcis-6363	13	29	environment	environment	NOUN
fcis-6363	13	30	.	.	PUNCT
fcis-6363	14	1	therefore	therefore	ADV
fcis-6363	14	2	,	,	PUNCT
fcis-6363	14	3	it	it	PRON
fcis-6363	14	4	has	have	AUX
fcis-6363	14	5	become	become	VERB
fcis-6363	14	6	a	a	DET
fcis-6363	14	7	widely	widely	ADV
fcis-6363	14	8	concerned	concerned	ADJ
fcis-6363	14	9	problem	problem	NOUN
fcis-6363	14	10	for	for	ADP
fcis-6363	14	11	residents	resident	NOUN
fcis-6363	14	12	and	and	CCONJ
fcis-6363	14	13	needs	need	VERB
fcis-6363	14	14	to	to	PART
fcis-6363	14	15	be	be	AUX
fcis-6363	14	16	solved	solve	VERB
fcis-6363	14	17	urgently	urgently	ADV
fcis-6363	14	18	.	.	PUNCT
fcis-6363	15	1	relying	rely	VERB
fcis-6363	15	2	on	on	ADP
fcis-6363	15	3	manual	manual	ADJ
fcis-6363	15	4	inspection	inspection	NOUN
fcis-6363	15	5	to	to	PART
fcis-6363	15	6	find	find	VERB
fcis-6363	15	7	floating	float	VERB
fcis-6363	15	8	objects	object	NOUN
fcis-6363	15	9	is	be	AUX
fcis-6363	15	10	extremely	extremely	ADV
fcis-6363	15	11	low	low	ADJ
fcis-6363	15	12	efficiency	efficiency	NOUN
fcis-6363	15	13	,	,	PUNCT
fcis-6363	15	14	urgent	urgent	ADJ
fcis-6363	15	15	need	need	NOUN
fcis-6363	15	16	of	of	ADP
fcis-6363	15	17	intelligent	intelligent	ADJ
fcis-6363	15	18	technology	technology	NOUN
fcis-6363	15	19	to	to	PART
fcis-6363	15	20	detect	detect	VERB
fcis-6363	15	21	and	and	CCONJ
fcis-6363	15	22	warn	warn	VERB
fcis-6363	15	23	in	in	ADP
fcis-6363	15	24	time	time	NOUN
fcis-6363	15	25	.	.	PUNCT
fcis-6363	16	1	to	to	PART
fcis-6363	16	2	solve	solve	VERB
fcis-6363	16	3	this	this	DET
fcis-6363	16	4	problem	problem	NOUN
fcis-6363	16	5	,	,	PUNCT
fcis-6363	16	6	this	this	DET
fcis-6363	16	7	paper	paper	NOUN
fcis-6363	16	8	carried	carry	VERB
fcis-6363	16	9	out	out	ADP
fcis-6363	16	10	a	a	DET
fcis-6363	16	11	study	study	NOUN
fcis-6363	16	12	on	on	ADP
fcis-6363	16	13	river	river	NOUN
fcis-6363	16	14	waste	waste	NOUN
fcis-6363	16	15	detection	detection	NOUN
fcis-6363	16	16	,	,	PUNCT
fcis-6363	16	17	and	and	CCONJ
fcis-6363	16	18	its	its	PRON
fcis-6363	16	19	important	important	ADJ
fcis-6363	16	20	work	work	NOUN
fcis-6363	16	21	and	and	CCONJ
fcis-6363	16	22	research	research	NOUN
fcis-6363	16	23	results	result	NOUN
fcis-6363	16	24	are	be	AUX
fcis-6363	16	25	as	as	SCONJ
fcis-6363	16	26	follows	follow	VERB
fcis-6363	16	27	:	:	PUNCT
fcis-6363	16	28	the	the	DET
fcis-6363	16	29	data	datum	NOUN
fcis-6363	16	30	set	set	VERB
fcis-6363	16	31	of	of	ADP
fcis-6363	16	32	river	river	NOUN
fcis-6363	16	33	floating	float	VERB
fcis-6363	16	34	objects	object	NOUN
fcis-6363	16	35	produced	produce	VERB
fcis-6363	16	36	by	by	ADP
fcis-6363	16	37	us	we	PRON
fcis-6363	16	38	divides	divide	VERB
fcis-6363	16	39	river	river	NOUN
fcis-6363	16	40	floating	float	VERB
fcis-6363	16	41	objects	object	NOUN
fcis-6363	16	42	into	into	ADP
fcis-6363	16	43	four	four	NUM
fcis-6363	16	44	categories	category	NOUN
fcis-6363	16	45	:	:	PUNCT
fcis-6363	16	46	first	first	ADV
fcis-6363	16	47	,	,	PUNCT
fcis-6363	16	48	naturally	naturally	ADV
fcis-6363	16	49	generated	generate	VERB
fcis-6363	16	50	garbage	garbage	NOUN
fcis-6363	16	51	,	,	PUNCT
fcis-6363	16	52	such	such	ADJ
fcis-6363	16	53	as	as	ADP
fcis-6363	16	54	plant	plant	NOUN
fcis-6363	16	55	branches	branch	NOUN
fcis-6363	16	56	and	and	CCONJ
fcis-6363	16	57	leaves	leave	NOUN
fcis-6363	16	58	washed	wash	VERB
fcis-6363	16	59	into	into	ADP
fcis-6363	16	60	the	the	DET
fcis-6363	16	61	river	river	NOUN
fcis-6363	16	62	by	by	ADP
fcis-6363	16	63	external	external	ADJ
fcis-6363	16	64	forces	force	NOUN
fcis-6363	16	65	and	and	CCONJ
fcis-6363	16	66	collected	collect	VERB
fcis-6363	16	67	on	on	ADP
fcis-6363	16	68	the	the	DET
fcis-6363	16	69	water	water	NOUN
fcis-6363	16	70	surface	surface	NOUN
fcis-6363	16	71	to	to	PART
fcis-6363	16	72	form	form	VERB
fcis-6363	16	73	floating	float	VERB
fcis-6363	16	74	objects	object	NOUN
fcis-6363	16	75	;	;	PUNCT
fcis-6363	16	76	the	the	DET
fcis-6363	16	77	second	second	NOUN
fcis-6363	16	78	is	be	AUX
fcis-6363	16	79	household	household	NOUN
fcis-6363	16	80	waste	waste	NOUN
fcis-6363	16	81	,	,	PUNCT
fcis-6363	16	82	such	such	ADJ
fcis-6363	16	83	as	as	ADP
fcis-6363	16	84	plastic	plastic	ADJ
fcis-6363	16	85	bottles	bottle	NOUN
fcis-6363	16	86	and	and	CCONJ
fcis-6363	16	87	other	other	ADJ
fcis-6363	16	88	common	common	ADJ
fcis-6363	16	89	household	household	NOUN
fcis-6363	16	90	waste	waste	NOUN
fcis-6363	16	91	;	;	PUNCT
fcis-6363	16	92	third	third	X
fcis-6363	16	93	,	,	PUNCT
fcis-6363	16	94	watercourse	watercourse	ADJ
fcis-6363	16	95	aquatic	aquatic	ADJ
fcis-6363	16	96	organisms	organism	NOUN
fcis-6363	16	97	,	,	PUNCT
fcis-6363	16	98	water	water	NOUN
fcis-6363	16	99	eutrophication	eutrophication	NOUN
fcis-6363	16	100	leads	lead	VERB
fcis-6363	16	101	to	to	ADP
fcis-6363	16	102	the	the	DET
fcis-6363	16	103	spread	spread	NOUN
fcis-6363	16	104	of	of	ADP
fcis-6363	16	105	aquatic	aquatic	ADJ
fcis-6363	16	106	organisms	organism	NOUN
fcis-6363	16	107	;	;	PUNCT
fcis-6363	16	108	fourth	fourth	X
fcis-6363	16	109	,	,	PUNCT
fcis-6363	16	110	floating	float	VERB
fcis-6363	16	111	ice	ice	NOUN
fcis-6363	16	112	,	,	PUNCT
fcis-6363	16	113	which	which	PRON
fcis-6363	16	114	is	be	AUX
fcis-6363	16	115	common	common	ADJ
fcis-6363	16	116	in	in	ADP
fcis-6363	16	117	cold	cold	ADJ
fcis-6363	16	118	areas	area	NOUN
fcis-6363	16	119	,	,	PUNCT
fcis-6363	16	120	has	have	VERB
fcis-6363	16	121	little	little	ADJ
fcis-6363	16	122	impact	impact	NOUN
fcis-6363	16	123	on	on	ADP
fcis-6363	16	124	the	the	DET
fcis-6363	16	125	ecological	ecological	ADJ
fcis-6363	16	126	environment	environment	NOUN
fcis-6363	16	127	but	but	CCONJ
fcis-6363	16	128	threatens	threaten	VERB
fcis-6363	16	129	shipping	shipping	NOUN
fcis-6363	16	130	.	.	PUNCT
fcis-6363	17	1	to	to	PART
fcis-6363	17	2	solve	solve	VERB
fcis-6363	17	3	the	the	DET
fcis-6363	17	4	problem	problem	NOUN
fcis-6363	17	5	of	of	ADP
fcis-6363	17	6	river	river	NOUN
fcis-6363	17	7	floating	float	VERB
fcis-6363	17	8	object	object	NOUN
fcis-6363	17	9	detection	detection	NOUN
fcis-6363	17	10	,	,	PUNCT
fcis-6363	17	11	we	we	PRON
fcis-6363	17	12	proposed	propose	VERB
fcis-6363	17	13	an	an	DET
fcis-6363	17	14	improved	improved	ADJ
fcis-6363	17	15	hrnet[1	hrnet[1	NOUN
fcis-6363	17	16	]	]	SYM
fcis-6363	17	17	method	method	NOUN
fcis-6363	17	18	for	for	ADP
fcis-6363	17	19	river	river	NOUN
fcis-6363	17	20	floating	float	VERB
fcis-6363	17	21	object	object	NOUN
fcis-6363	17	22	detection	detection	NOUN
fcis-6363	17	23	.	.	PUNCT
fcis-6363	18	1	trunk	trunk	NOUN
fcis-6363	18	2	network	network	NOUN
fcis-6363	18	3	hrnet	hrnet	NOUN
fcis-6363	18	4	was	be	AUX
fcis-6363	18	5	used	use	VERB
fcis-6363	18	6	to	to	PART
fcis-6363	18	7	replace	replace	VERB
fcis-6363	18	8	the	the	DET
fcis-6363	18	9	existing	exist	VERB
fcis-6363	18	10	trunk	trunk	NOUN
fcis-6363	18	11	network	network	NOUN
fcis-6363	18	12	alexnet[3	alexnet[3	ADP
fcis-6363	18	13	]	]	PUNCT
fcis-6363	18	14	in	in	ADP
fcis-6363	18	15	faster	fast	ADV
fcis-6363	18	16	-	-	PUNCT
fcis-6363	18	17	rcnn[2	rcnn[2	NOUN
fcis-6363	18	18	]	]	PUNCT
fcis-6363	18	19	to	to	PART
fcis-6363	18	20	detect	detect	VERB
fcis-6363	18	21	river	river	NOUN
fcis-6363	18	22	floating	float	VERB
fcis-6363	18	23	object	object	NOUN
fcis-6363	18	24	,	,	PUNCT
fcis-6363	18	25	which	which	PRON
fcis-6363	18	26	enhanced	enhance	VERB
fcis-6363	18	27	the	the	DET
fcis-6363	18	28	feature	feature	NOUN
fcis-6363	18	29	extraction	extraction	NOUN
fcis-6363	18	30	ability	ability	NOUN
fcis-6363	18	31	.	.	PUNCT
fcis-6363	19	1	a	a	DET
fcis-6363	19	2	backbone	backbone	NOUN
fcis-6363	19	3	combining	combine	VERB
fcis-6363	19	4	densenet[4	densenet[4	PRON
fcis-6363	19	5	]	]	PUNCT
fcis-6363	19	6	and	and	CCONJ
fcis-6363	19	7	hrnet	hrnet	NOUN
fcis-6363	19	8	is	be	AUX
fcis-6363	19	9	proposed	propose	VERB
fcis-6363	19	10	to	to	PART
fcis-6363	19	11	optimize	optimize	VERB
fcis-6363	19	12	the	the	DET
fcis-6363	19	13	ability	ability	NOUN
fcis-6363	19	14	to	to	PART
fcis-6363	19	15	extract	extract	VERB
fcis-6363	19	16	details	detail	NOUN
fcis-6363	19	17	and	and	CCONJ
fcis-6363	19	18	improve	improve	VERB
fcis-6363	19	19	the	the	DET
fcis-6363	19	20	detection	detection	NOUN
fcis-6363	19	21	accuracy	accuracy	NOUN
fcis-6363	19	22	.	.	PUNCT
fcis-6363	20	1	2	2	X
fcis-6363	20	2	.	.	X
fcis-6363	20	3	research	research	NOUN
fcis-6363	20	4	status	status	NOUN
fcis-6363	20	5	generally	generally	ADV
fcis-6363	20	6	speaking	speak	VERB
fcis-6363	20	7	,	,	PUNCT
fcis-6363	20	8	the	the	DET
fcis-6363	20	9	research	research	NOUN
fcis-6363	20	10	on	on	ADP
fcis-6363	20	11	detection	detection	NOUN
fcis-6363	20	12	and	and	CCONJ
fcis-6363	20	13	recognition	recognition	NOUN
fcis-6363	20	14	of	of	ADP
fcis-6363	20	15	floating	float	VERB
fcis-6363	20	16	objects	object	NOUN
fcis-6363	20	17	on	on	ADP
fcis-6363	20	18	water	water	NOUN
fcis-6363	20	19	surface	surface	NOUN
fcis-6363	20	20	is	be	AUX
fcis-6363	20	21	mainly	mainly	ADV
fcis-6363	20	22	divided	divide	VERB
fcis-6363	20	23	into	into	ADP
fcis-6363	20	24	two	two	NUM
fcis-6363	20	25	directions	direction	NOUN
fcis-6363	20	26	.	.	PUNCT
fcis-6363	21	1	one	one	NUM
fcis-6363	21	2	is	be	AUX
fcis-6363	21	3	image	image	NOUN
fcis-6363	21	4	processing	processing	NOUN
fcis-6363	21	5	and	and	CCONJ
fcis-6363	21	6	machine	machine	NOUN
fcis-6363	21	7	learning	learning	NOUN
fcis-6363	21	8	based	base	VERB
fcis-6363	21	9	on	on	ADP
fcis-6363	21	10	traditional	traditional	ADJ
fcis-6363	21	11	computer	computer	NOUN
fcis-6363	21	12	vision	vision	NOUN
fcis-6363	21	13	.	.	PUNCT
fcis-6363	22	1	this	this	DET
fcis-6363	22	2	method	method	NOUN
fcis-6363	22	3	relies	rely	VERB
fcis-6363	22	4	on	on	ADP
fcis-6363	22	5	relatively	relatively	ADV
fcis-6363	22	6	little	little	ADJ
fcis-6363	22	7	data	datum	NOUN
fcis-6363	22	8	,	,	PUNCT
fcis-6363	22	9	but	but	CCONJ
fcis-6363	22	10	has	have	VERB
fcis-6363	22	11	poor	poor	ADJ
fcis-6363	22	12	robustness	robustness	NOUN
fcis-6363	22	13	and	and	CCONJ
fcis-6363	22	14	is	be	AUX
fcis-6363	22	15	easily	easily	ADV
fcis-6363	22	16	affected	affect	VERB
fcis-6363	22	17	by	by	ADP
fcis-6363	22	18	changes	change	NOUN
fcis-6363	22	19	in	in	ADP
fcis-6363	22	20	external	external	ADJ
fcis-6363	22	21	environment	environment	NOUN
fcis-6363	22	22	.	.	PUNCT
fcis-6363	23	1	the	the	DET
fcis-6363	23	2	other	other	ADJ
fcis-6363	23	3	is	be	AUX
fcis-6363	23	4	artificial	artificial	ADJ
fcis-6363	23	5	intelligence	intelligence	NOUN
fcis-6363	23	6	algorithm	algorithm	NOUN
fcis-6363	23	7	based	base	VERB
fcis-6363	23	8	on	on	ADP
fcis-6363	23	9	deep	deep	ADJ
fcis-6363	23	10	learning	learning	NOUN
fcis-6363	23	11	.	.	PUNCT
fcis-6363	24	1	this	this	DET
fcis-6363	24	2	kind	kind	NOUN
fcis-6363	24	3	of	of	ADP
fcis-6363	24	4	algorithm	algorithm	NOUN
fcis-6363	24	5	requires	require	VERB
fcis-6363	24	6	relatively	relatively	ADV
fcis-6363	24	7	sufficient	sufficient	ADJ
fcis-6363	24	8	data	datum	NOUN
fcis-6363	24	9	to	to	PART
fcis-6363	24	10	train	train	VERB
fcis-6363	24	11	the	the	DET
fcis-6363	24	12	model	model	NOUN
fcis-6363	24	13	.	.	PUNCT
fcis-6363	25	1	it	it	PRON
fcis-6363	25	2	has	have	AUX
fcis-6363	25	3	been	be	AUX
fcis-6363	25	4	widely	widely	ADV
fcis-6363	25	5	used	use	VERB
fcis-6363	25	6	in	in	ADP
fcis-6363	25	7	face	face	NOUN
fcis-6363	25	8	recognition	recognition	NOUN
fcis-6363	25	9	,	,	PUNCT
fcis-6363	25	10	vehicle	vehicle	NOUN
fcis-6363	25	11	detection	detection	NOUN
fcis-6363	25	12	and	and	CCONJ
fcis-6363	25	13	other	other	ADJ
fcis-6363	25	14	fields	field	NOUN
fcis-6363	25	15	,	,	PUNCT
fcis-6363	25	16	and	and	CCONJ
fcis-6363	25	17	can	can	AUX
fcis-6363	25	18	better	well	ADV
fcis-6363	25	19	cope	cope	VERB
fcis-6363	25	20	with	with	ADP
fcis-6363	25	21	visual	visual	ADJ
fcis-6363	25	22	tasks	task	NOUN
fcis-6363	25	23	in	in	ADP
fcis-6363	25	24	complex	complex	ADJ
fcis-6363	25	25	scenes	scene	NOUN
fcis-6363	25	26	.	.	PUNCT
fcis-6363	26	1	this	this	DET
fcis-6363	26	2	paper	paper	NOUN
fcis-6363	26	3	also	also	ADV
fcis-6363	26	4	uses	use	VERB
fcis-6363	26	5	artificial	artificial	ADJ
fcis-6363	26	6	intelligence	intelligence	NOUN
fcis-6363	26	7	method	method	NOUN
fcis-6363	26	8	based	base	VERB
fcis-6363	26	9	on	on	ADP
fcis-6363	26	10	deep	deep	ADJ
fcis-6363	26	11	learning	learning	NOUN
fcis-6363	26	12	to	to	PART
fcis-6363	26	13	conduct	conduct	VERB
fcis-6363	26	14	experiments	experiment	NOUN
fcis-6363	26	15	.	.	PUNCT
fcis-6363	27	1	zuo	zuo	PROPN
fcis-6363	27	2	jianjun	jianjun	PROPN
fcis-6363	27	3	et	et	PROPN
fcis-6363	27	4	al	al	PROPN
fcis-6363	27	5	.	.	PUNCT
fcis-6363	28	1	[	[	X
fcis-6363	28	2	5	5	NUM
fcis-6363	28	3	]	]	PUNCT
fcis-6363	28	4	used	use	VERB
fcis-6363	28	5	the	the	DET
fcis-6363	28	6	segmentation	segmentation	NOUN
fcis-6363	28	7	method	method	NOUN
fcis-6363	28	8	to	to	PART
fcis-6363	28	9	find	find	VERB
fcis-6363	28	10	the	the	DET
fcis-6363	28	11	area	area	NOUN
fcis-6363	28	12	of	of	ADP
fcis-6363	28	13	floating	float	VERB
fcis-6363	28	14	objects	object	NOUN
fcis-6363	28	15	in	in	ADP
fcis-6363	28	16	the	the	DET
fcis-6363	28	17	image	image	NOUN
fcis-6363	28	18	,	,	PUNCT
fcis-6363	28	19	and	and	CCONJ
fcis-6363	28	20	then	then	ADV
fcis-6363	28	21	used	use	VERB
fcis-6363	28	22	the	the	DET
fcis-6363	28	23	back	back	ADJ
fcis-6363	28	24	-	-	PUNCT
fcis-6363	28	25	propagation	propagation	NOUN
fcis-6363	28	26	algorithm	algorithm	NOUN
fcis-6363	28	27	to	to	PART
fcis-6363	28	28	conduct	conduct	VERB
fcis-6363	28	29	the	the	DET
fcis-6363	28	30	feature	feature	NOUN
fcis-6363	28	31	training	training	NOUN
fcis-6363	28	32	of	of	ADP
fcis-6363	28	33	floating	float	VERB
fcis-6363	28	34	objects	object	NOUN
fcis-6363	28	35	in	in	ADP
fcis-6363	28	36	the	the	DET
fcis-6363	28	37	river	river	NOUN
fcis-6363	28	38	channel	channel	NOUN
fcis-6363	28	39	and	and	CCONJ
fcis-6363	28	40	build	build	VERB
fcis-6363	28	41	the	the	DET
fcis-6363	28	42	classifier	classifier	NOUN
fcis-6363	28	43	of	of	ADP
fcis-6363	28	44	floating	float	VERB
fcis-6363	28	45	objects	object	NOUN
fcis-6363	28	46	to	to	PART
fcis-6363	28	47	identify	identify	VERB
fcis-6363	28	48	the	the	DET
fcis-6363	28	49	area	area	NOUN
fcis-6363	28	50	of	of	ADP
fcis-6363	28	51	segmentation	segmentation	NOUN
fcis-6363	28	52	.	.	PUNCT
fcis-6363	29	1	zhu	zhu	PROPN
fcis-6363	29	2	dian	dian	PROPN
fcis-6363	29	3	et	et	PROPN
fcis-6363	29	4	al	al	PROPN
fcis-6363	29	5	.	.	PUNCT
fcis-6363	30	1	[	[	X
fcis-6363	30	2	6	6	NUM
fcis-6363	30	3	]	]	PUNCT
fcis-6363	30	4	created	create	VERB
fcis-6363	30	5	a	a	DET
fcis-6363	30	6	comprehensive	comprehensive	ADJ
fcis-6363	30	7	system	system	NOUN
fcis-6363	30	8	for	for	ADP
fcis-6363	30	9	collecting	collect	VERB
fcis-6363	30	10	and	and	CCONJ
fcis-6363	30	11	monitoring	monitor	VERB
fcis-6363	30	12	river	river	NOUN
fcis-6363	30	13	floats	float	NOUN
fcis-6363	30	14	.	.	PUNCT
fcis-6363	31	1	zhu	zhu	X
fcis-6363	32	1	he	he	PRON
fcis-6363	32	2	et	et	PROPN
fcis-6363	32	3	al	al	PROPN
fcis-6363	32	4	.	.	PUNCT
fcis-6363	33	1	[	[	X
fcis-6363	33	2	7	7	X
fcis-6363	33	3	]	]	PUNCT
fcis-6363	33	4	combined	combined	ADJ
fcis-6363	33	5	gray	gray	ADJ
fcis-6363	33	6	threshold	threshold	NOUN
fcis-6363	33	7	segmentation	segmentation	NOUN
fcis-6363	33	8	and	and	CCONJ
fcis-6363	33	9	river	river	NOUN
fcis-6363	33	10	channel	channel	NOUN
fcis-6363	33	11	contour	contour	NOUN
fcis-6363	33	12	recognition	recognition	NOUN
fcis-6363	33	13	to	to	PART
fcis-6363	33	14	achieve	achieve	VERB
fcis-6363	33	15	accurate	accurate	ADJ
fcis-6363	33	16	extraction	extraction	NOUN
fcis-6363	33	17	of	of	ADP
fcis-6363	33	18	river	river	NOUN
fcis-6363	33	19	channel	channel	NOUN
fcis-6363	33	20	area	area	NOUN
fcis-6363	33	21	.	.	PUNCT
fcis-6363	34	1	the	the	DET
fcis-6363	34	2	use	use	NOUN
fcis-6363	34	3	of	of	ADP
fcis-6363	34	4	channel	channel	NOUN
fcis-6363	34	5	contour	contour	NOUN
fcis-6363	34	6	for	for	ADP
fcis-6363	34	7	channel	channel	NOUN
fcis-6363	34	8	segmentation	segmentation	NOUN
fcis-6363	34	9	can	can	AUX
fcis-6363	34	10	reduce	reduce	VERB
fcis-6363	34	11	the	the	DET
fcis-6363	34	12	influence	influence	NOUN
fcis-6363	34	13	of	of	ADP
fcis-6363	34	14	garbage	garbage	NOUN
fcis-6363	34	15	on	on	ADP
fcis-6363	34	16	the	the	DET
fcis-6363	34	17	detection	detection	NOUN
fcis-6363	34	18	results	result	NOUN
fcis-6363	34	19	,	,	PUNCT
fcis-6363	34	20	but	but	CCONJ
fcis-6363	34	21	the	the	DET
fcis-6363	34	22	influence	influence	NOUN
fcis-6363	34	23	of	of	ADP
fcis-6363	34	24	floating	float	VERB
fcis-6363	34	25	objects	object	NOUN
fcis-6363	34	26	on	on	ADP
fcis-6363	34	27	water	water	NOUN
fcis-6363	34	28	bodies	body	NOUN
fcis-6363	34	29	with	with	ADP
fcis-6363	34	30	similar	similar	ADJ
fcis-6363	34	31	forms	form	NOUN
fcis-6363	34	32	can	can	AUX
fcis-6363	34	33	not	not	PART
fcis-6363	34	34	be	be	AUX
fcis-6363	34	35	ruled	rule	VERB
fcis-6363	34	36	out	out	ADP
fcis-6363	34	37	.	.	PUNCT
fcis-6363	35	1	li	li	PROPN
fcis-6363	35	2	ning	ning	PROPN
fcis-6363	35	3	et	et	PROPN
fcis-6363	35	4	al	al	PROPN
fcis-6363	35	5	.	.	PUNCT
fcis-6363	36	1	[	[	X
fcis-6363	36	2	8	8	NUM
fcis-6363	36	3	]	]	PUNCT
fcis-6363	36	4	took	take	VERB
fcis-6363	36	5	plastic	plastic	ADJ
fcis-6363	36	6	bags	bag	NOUN
fcis-6363	36	7	and	and	CCONJ
fcis-6363	36	8	plastic	plastic	ADJ
fcis-6363	36	9	bottles	bottle	NOUN
fcis-6363	36	10	as	as	ADP
fcis-6363	36	11	data	data	NOUN
fcis-6363	36	12	sets	set	NOUN
fcis-6363	36	13	,	,	PUNCT
fcis-6363	36	14	trained	train	VERB
fcis-6363	36	15	alexnet	alexnet	ADJ
fcis-6363	36	16	network	network	NOUN
fcis-6363	36	17	structure	structure	NOUN
fcis-6363	36	18	,	,	PUNCT
fcis-6363	36	19	adjusted	adjust	VERB
fcis-6363	36	20	the	the	DET
fcis-6363	36	21	network	network	NOUN
fcis-6363	36	22	by	by	ADP
fcis-6363	36	23	using	use	VERB
fcis-6363	36	24	gradient	gradient	ADJ
fcis-6363	36	25	descent	descent	NOUN
fcis-6363	36	26	method	method	NOUN
fcis-6363	36	27	,	,	PUNCT
fcis-6363	36	28	and	and	CCONJ
fcis-6363	36	29	preprocessed	preprocesse	VERB
fcis-6363	36	30	the	the	DET
fcis-6363	36	31	recognition	recognition	NOUN
fcis-6363	36	32	images	image	NOUN
fcis-6363	36	33	by	by	ADP
fcis-6363	36	34	integrating	integrate	VERB
fcis-6363	36	35	light	light	ADJ
fcis-6363	36	36	correction	correction	NOUN
fcis-6363	36	37	method	method	NOUN
fcis-6363	36	38	.	.	PUNCT
fcis-6363	37	1	finally	finally	ADV
fcis-6363	37	2	,	,	PUNCT
fcis-6363	37	3	the	the	DET
fcis-6363	37	4	recognition	recognition	NOUN
fcis-6363	37	5	accuracy	accuracy	NOUN
fcis-6363	37	6	of	of	ADP
fcis-6363	37	7	floating	float	VERB
fcis-6363	37	8	objects	object	NOUN
fcis-6363	37	9	on	on	ADP
fcis-6363	37	10	water	water	NOUN
fcis-6363	37	11	surface	surface	NOUN
fcis-6363	37	12	was	be	AUX
fcis-6363	37	13	15	15	NUM
fcis-6363	37	14	%	%	NOUN
fcis-6363	37	15	higher	high	ADJ
fcis-6363	37	16	than	than	ADP
fcis-6363	37	17	that	that	PRON
fcis-6363	37	18	of	of	ADP
fcis-6363	37	19	the	the	DET
fcis-6363	37	20	method	method	NOUN
fcis-6363	37	21	based	base	VERB
fcis-6363	37	22	on	on	ADP
fcis-6363	37	23	hog	hog	NOUN
fcis-6363	37	24	features	feature	NOUN
fcis-6363	37	25	.	.	PUNCT
fcis-6363	38	1	li	li	PROPN
fcis-6363	38	2	changlong	changlong	PROPN
fcis-6363	39	1	[	[	X
fcis-6363	39	2	9	9	X
fcis-6363	39	3	]	]	PUNCT
fcis-6363	39	4	took	take	VERB
fcis-6363	39	5	the	the	DET
fcis-6363	39	6	images	image	NOUN
fcis-6363	39	7	connected	connect	VERB
fcis-6363	39	8	to	to	ADP
fcis-6363	39	9	a	a	DET
fcis-6363	39	10	camera	camera	NOUN
fcis-6363	39	11	as	as	ADP
fcis-6363	39	12	material	material	NOUN
fcis-6363	39	13	,	,	PUNCT
fcis-6363	39	14	conducted	conduct	VERB
fcis-6363	39	15	network	network	NOUN
fcis-6363	39	16	training	training	NOUN
fcis-6363	39	17	based	base	VERB
fcis-6363	39	18	on	on	ADP
fcis-6363	39	19	r	r	PROPN
fcis-6363	39	20	-	-	PUNCT
fcis-6363	39	21	cnn	cnn	PROPN
fcis-6363	39	22	network	network	NOUN
fcis-6363	39	23	,	,	PUNCT
fcis-6363	39	24	adopted	adopt	VERB
fcis-6363	39	25	histogram	histogram	NOUN
fcis-6363	39	26	equalization	equalization	NOUN
fcis-6363	39	27	and	and	CCONJ
fcis-6363	39	28	logarithmic	logarithmic	ADJ
fcis-6363	39	29	transformation	transformation	NOUN
fcis-6363	39	30	to	to	PART
fcis-6363	39	31	preprocess	preprocess	VERB
fcis-6363	39	32	the	the	DET
fcis-6363	39	33	images	image	NOUN
fcis-6363	39	34	,	,	PUNCT
fcis-6363	39	35	and	and	CCONJ
fcis-6363	39	36	proposed	propose	VERB
fcis-6363	39	37	an	an	DET
fcis-6363	39	38	intelligent	intelligent	ADJ
fcis-6363	39	39	recognition	recognition	NOUN
fcis-6363	39	40	process	process	NOUN
fcis-6363	39	41	,	,	PUNCT
fcis-6363	39	42	which	which	PRON
fcis-6363	39	43	reached	reach	VERB
fcis-6363	39	44	96	96	NUM
fcis-6363	39	45	%	%	NOUN
fcis-6363	39	46	accuracy	accuracy	NOUN
fcis-6363	39	47	in	in	ADP
fcis-6363	39	48	its	its	PRON
fcis-6363	39	49	test	test	NOUN
fcis-6363	39	50	set	set	NOUN
fcis-6363	39	51	.	.	PUNCT
fcis-6363	40	1	deng	deng	PROPN
fcis-6363	40	2	lei	lei	PROPN
fcis-6363	40	3	et	et	PROPN
fcis-6363	40	4	al	al	PROPN
fcis-6363	40	5	.	.	PUNCT
fcis-6363	41	1	[	[	X
fcis-6363	41	2	10	10	NUM
fcis-6363	41	3	]	]	PUNCT
fcis-6363	41	4	provided	provide	VERB
fcis-6363	41	5	visual	visual	ADJ
fcis-6363	41	6	guarantee	guarantee	NOUN
fcis-6363	41	7	for	for	ADP
fcis-6363	41	8	the	the	DET
fcis-6363	41	9	garbage	garbage	NOUN
fcis-6363	41	10	salvage	salvage	NOUN
fcis-6363	41	11	process	process	NOUN
fcis-6363	41	12	by	by	ADP
fcis-6363	41	13	using	use	VERB
fcis-6363	41	14	the	the	DET
fcis-6363	41	15	slic	slic	ADJ
fcis-6363	41	16	method	method	NOUN
fcis-6363	41	17	for	for	ADP
fcis-6363	41	18	image	image	NOUN
fcis-6363	41	19	preprocessing	preprocessing	NOUN
fcis-6363	41	20	,	,	PUNCT
fcis-6363	41	21	then	then	ADV
fcis-6363	41	22	extracting	extract	VERB
fcis-6363	41	23	edge	edge	NOUN
fcis-6363	41	24	,	,	PUNCT
fcis-6363	41	25	texture	texture	ADJ
fcis-6363	41	26	and	and	CCONJ
fcis-6363	41	27	gray	gray	ADJ
fcis-6363	41	28	features	feature	NOUN
fcis-6363	41	29	,	,	PUNCT
fcis-6363	41	30	and	and	CCONJ
fcis-6363	41	31	using	use	VERB
fcis-6363	41	32	bp	bp	PROPN
fcis-6363	41	33	neural	neural	ADJ
fcis-6363	41	34	network	network	NOUN
fcis-6363	41	35	for	for	ADP
fcis-6363	41	36	training	training	NOUN
fcis-6363	41	37	,	,	PUNCT
fcis-6363	41	38	which	which	PRON
fcis-6363	41	39	achieved	achieve	VERB
fcis-6363	41	40	good	good	ADJ
fcis-6363	41	41	recognition	recognition	NOUN
fcis-6363	41	42	effect	effect	NOUN
fcis-6363	41	43	in	in	ADP
fcis-6363	41	44	practice	practice	NOUN
fcis-6363	41	45	.	.	PUNCT
fcis-6363	42	1	lei	lei	PROPN
fcis-6363	42	2	liyi	liyi	PROPN
fcis-6363	42	3	et	et	PROPN
fcis-6363	42	4	al	al	PROPN
fcis-6363	42	5	.	.	PUNCT
fcis-6363	43	1	[	[	X
fcis-6363	43	2	11	11	NUM
fcis-6363	43	3	]	]	PUNCT
fcis-6363	43	4	proposed	propose	VERB
fcis-6363	43	5	a	a	DET
fcis-6363	43	6	small	small	ADJ
fcis-6363	43	7	data	datum	NOUN
fcis-6363	43	8	set	set	VERB
fcis-6363	43	9	about	about	ADP
fcis-6363	43	10	floating	float	VERB
fcis-6363	43	11	objects	object	NOUN
fcis-6363	43	12	on	on	ADP
fcis-6363	43	13	the	the	DET
fcis-6363	43	14	water	water	NOUN
fcis-6363	43	15	surface	surface	NOUN
fcis-6363	43	16	based	base	VERB
fcis-6363	43	17	on	on	ADP
fcis-6363	43	18	the	the	DET
fcis-6363	43	19	selfproduced	selfproduce	VERB
fcis-6363	43	20	garbage	garbage	NOUN
fcis-6363	43	21	photos	photo	NOUN
fcis-6363	43	22	on	on	ADP
fcis-6363	43	23	the	the	DET
fcis-6363	43	24	lake	lake	NOUN
fcis-6363	43	25	surface	surface	PROPN
fcis-6363	43	26	of	of	ADP
fcis-6363	43	27	guangxi	guangxi	PROPN
fcis-6363	43	28	174	174	NUM
fcis-6363	43	29	university	university	NOUN
fcis-6363	43	30	,	,	PUNCT
fcis-6363	43	31	and	and	CCONJ
fcis-6363	43	32	analyzed	analyze	VERB
fcis-6363	43	33	the	the	DET
fcis-6363	43	34	performance	performance	NOUN
fcis-6363	43	35	of	of	ADP
fcis-6363	43	36	several	several	ADJ
fcis-6363	43	37	target	target	NOUN
fcis-6363	43	38	detection	detection	NOUN
fcis-6363	43	39	models	model	NOUN
fcis-6363	43	40	on	on	ADP
fcis-6363	43	41	the	the	DET
fcis-6363	43	42	data	data	NOUN
fcis-6363	43	43	set	set	VERB
fcis-6363	43	44	,	,	PUNCT
fcis-6363	43	45	faster	fast	ADJ
fcis-6363	43	46	rcnn	rcnn	NOUN
fcis-6363	43	47	,	,	PUNCT
fcis-6363	43	48	r	r	PROPN
fcis-6363	43	49	-	-	PUNCT
fcis-6363	43	50	fcn	fcn	NOUN
fcis-6363	43	51	and	and	CCONJ
fcis-6363	43	52	ssd	ssd	NOUN
fcis-6363	43	53	.	.	PUNCT
fcis-6363	44	1	the	the	DET
fcis-6363	44	2	ssd	ssd	PROPN
fcis-6363	44	3	target	target	NOUN
fcis-6363	44	4	detection	detection	NOUN
fcis-6363	44	5	model	model	NOUN
fcis-6363	44	6	has	have	VERB
fcis-6363	44	7	higher	high	ADJ
fcis-6363	44	8	accuracy	accuracy	NOUN
fcis-6363	44	9	,	,	PUNCT
fcis-6363	44	10	faster	fast	ADJ
fcis-6363	44	11	rcnn	rcnn	PROPN
fcis-6363	44	12	model	model	PROPN
fcis-6363	44	13	can	can	AUX
fcis-6363	44	14	give	give	VERB
fcis-6363	44	15	more	more	ADJ
fcis-6363	44	16	detailed	detailed	ADJ
fcis-6363	44	17	prediction	prediction	NOUN
fcis-6363	44	18	,	,	PUNCT
fcis-6363	44	19	and	and	CCONJ
fcis-6363	44	20	the	the	DET
fcis-6363	44	21	model	model	NOUN
fcis-6363	44	22	with	with	ADP
fcis-6363	44	23	rich	rich	ADJ
fcis-6363	44	24	structural	structural	ADJ
fcis-6363	44	25	features	feature	NOUN
fcis-6363	44	26	and	and	CCONJ
fcis-6363	44	27	considerable	considerable	ADJ
fcis-6363	44	28	depth	depth	NOUN
fcis-6363	44	29	features	feature	NOUN
fcis-6363	44	30	has	have	VERB
fcis-6363	44	31	better	well	ADJ
fcis-6363	44	32	performance	performance	NOUN
fcis-6363	44	33	for	for	ADP
fcis-6363	44	34	difficult	difficult	ADJ
fcis-6363	44	35	targets	target	NOUN
fcis-6363	44	36	.	.	PUNCT
fcis-6363	45	1	zhang	zhang	PROPN
fcis-6363	45	2	et	et	PROPN
fcis-6363	45	3	al	al	PROPN
fcis-6363	45	4	.	.	PUNCT
fcis-6363	46	1	[	[	X
fcis-6363	46	2	12	12	NUM
fcis-6363	46	3	]	]	PUNCT
fcis-6363	46	4	divided	divide	VERB
fcis-6363	46	5	the	the	DET
fcis-6363	46	6	model	model	NOUN
fcis-6363	46	7	into	into	ADP
fcis-6363	46	8	two	two	NUM
fcis-6363	46	9	modules	module	NOUN
fcis-6363	46	10	based	base	VERB
fcis-6363	46	11	on	on	ADP
fcis-6363	46	12	faster	fast	ADJ
fcis-6363	46	13	rcnn	rcnn	NOUN
fcis-6363	46	14	,	,	PUNCT
fcis-6363	46	15	which	which	PRON
fcis-6363	46	16	fused	fuse	VERB
fcis-6363	46	17	lower	low	ADJ
fcis-6363	46	18	-	-	PUNCT
fcis-6363	46	19	layer	layer	NOUN
fcis-6363	46	20	and	and	CCONJ
fcis-6363	46	21	higher	high	ADJ
fcis-6363	46	22	-	-	PUNCT
fcis-6363	46	23	layer	layer	NOUN
fcis-6363	46	24	features	feature	NOUN
fcis-6363	46	25	respectively	respectively	ADV
fcis-6363	46	26	.	.	PUNCT
fcis-6363	47	1	at	at	ADP
fcis-6363	47	2	13fps	13fps	PROPN
fcis-6363	47	3	,	,	PUNCT
fcis-6363	47	4	map	map	NOUN
fcis-6363	47	5	reached	reach	VERB
fcis-6363	47	6	83.7	83.7	NUM
fcis-6363	47	7	%	%	NOUN
fcis-6363	47	8	.	.	PUNCT
fcis-6363	48	1	3	3	X
fcis-6363	48	2	.	.	X
fcis-6363	48	3	method	method	PROPN
fcis-6363	48	4	theory	theory	NOUN
fcis-6363	48	5	3.1	3.1	NUM
fcis-6363	48	6	.	.	PUNCT
fcis-6363	49	1	network	network	NOUN
fcis-6363	49	2	model	model	NOUN
fcis-6363	49	3	we	we	PRON
fcis-6363	49	4	adopted	adopt	VERB
fcis-6363	49	5	the	the	DET
fcis-6363	49	6	classic	classic	ADJ
fcis-6363	49	7	fasert	fasert	NOUN
fcis-6363	49	8	-	-	PUNCT
fcis-6363	49	9	rcnn	rcnn	PROPN
fcis-6363	49	10	as	as	ADP
fcis-6363	49	11	our	our	PRON
fcis-6363	49	12	baseline	baseline	NOUN
fcis-6363	49	13	,	,	PUNCT
fcis-6363	49	14	replaced	replace	VERB
fcis-6363	49	15	the	the	DET
fcis-6363	49	16	original	original	ADJ
fcis-6363	49	17	alexnet	alexnet	NOUN
fcis-6363	49	18	with	with	ADP
fcis-6363	49	19	hrnet	hrnet	NOUN
fcis-6363	49	20	,	,	PUNCT
fcis-6363	49	21	a	a	DET
fcis-6363	49	22	backbone	backbone	NOUN
fcis-6363	49	23	network	network	NOUN
fcis-6363	49	24	with	with	ADP
fcis-6363	49	25	stronger	strong	ADJ
fcis-6363	49	26	feature	feature	NOUN
fcis-6363	49	27	extraction	extraction	NOUN
fcis-6363	49	28	ability	ability	NOUN
fcis-6363	49	29	,	,	PUNCT
fcis-6363	49	30	and	and	CCONJ
fcis-6363	49	31	then	then	ADV
fcis-6363	49	32	combined	combined	ADJ
fcis-6363	49	33	densenet	densenet	NOUN
fcis-6363	49	34	with	with	ADP
fcis-6363	49	35	hrnet	hrnet	NOUN
fcis-6363	49	36	.	.	PUNCT
fcis-6363	50	1	we	we	PRON
fcis-6363	50	2	enhance	enhance	VERB
fcis-6363	50	3	the	the	DET
fcis-6363	50	4	highresolution	highresolution	NOUN
fcis-6363	50	5	representation	representation	NOUN
fcis-6363	50	6	(	(	PUNCT
fcis-6363	50	7	hrnet	hrnet	NOUN
fcis-6363	50	8	)	)	PUNCT
fcis-6363	50	9	convolution	convolution	NOUN
fcis-6363	50	10	by	by	ADP
fcis-6363	50	11	aggregating	aggregate	VERB
fcis-6363	50	12	the	the	DET
fcis-6363	50	13	(	(	PUNCT
fcis-6363	50	14	upsampled	upsampled	ADJ
fcis-6363	50	15	)	)	PUNCT
fcis-6363	50	16	representation	representation	NOUN
fcis-6363	50	17	from	from	ADP
fcis-6363	50	18	all	all	DET
fcis-6363	50	19	parallel	parallel	NOUN
fcis-6363	50	20	,	,	PUNCT
fcis-6363	50	21	resulting	result	VERB
fcis-6363	50	22	in	in	ADP
fcis-6363	50	23	a	a	DET
fcis-6363	50	24	stronger	strong	ADJ
fcis-6363	50	25	representation	representation	NOUN
fcis-6363	50	26	.	.	PUNCT
fcis-6363	51	1	we	we	PRON
fcis-6363	51	2	build	build	VERB
fcis-6363	51	3	multilevel	multilevel	ADJ
fcis-6363	51	4	representation	representation	NOUN
fcis-6363	51	5	from	from	ADP
fcis-6363	51	6	high	high	ADJ
fcis-6363	51	7	resolution	resolution	NOUN
fcis-6363	51	8	and	and	CCONJ
fcis-6363	51	9	apply	apply	VERB
fcis-6363	51	10	it	it	PRON
fcis-6363	51	11	to	to	ADP
fcis-6363	51	12	faster	fast	ADJ
fcis-6363	51	13	rcnn	rcnn	PROPN
fcis-6363	51	14	.	.	PUNCT
fcis-6363	52	1	faster	fast	ADJ
fcis-6363	52	2	rcnn	rcnn	PROPN
fcis-6363	52	3	can	can	AUX
fcis-6363	52	4	be	be	AUX
fcis-6363	52	5	divided	divide	VERB
fcis-6363	52	6	into	into	ADP
fcis-6363	52	7	four	four	NUM
fcis-6363	52	8	main	main	ADJ
fcis-6363	52	9	contents	content	NOUN
fcis-6363	52	10	:	:	PUNCT
fcis-6363	52	11	1	1	NUM
fcis-6363	52	12	)	)	PUNCT
fcis-6363	52	13	.	.	PUNCT
fcis-6363	53	1	conv	conv	ADJ
fcis-6363	53	2	layers	layer	NOUN
fcis-6363	53	3	.	.	PUNCT
fcis-6363	54	1	faster	fast	ADV
fcis-6363	54	2	rcnn	rcnn	PROPN
fcis-6363	54	3	first	first	ADJ
fcis-6363	54	4	extracts	extract	NOUN
fcis-6363	54	5	feature	feature	NOUN
fcis-6363	54	6	maps	map	NOUN
fcis-6363	54	7	of	of	ADP
fcis-6363	54	8	images	image	NOUN
fcis-6363	54	9	using	use	VERB
fcis-6363	54	10	a	a	DET
fcis-6363	54	11	set	set	NOUN
fcis-6363	54	12	of	of	ADP
fcis-6363	54	13	common	common	ADJ
fcis-6363	54	14	conv	conv	ADJ
fcis-6363	54	15	+	+	CCONJ
fcis-6363	54	16	relu	relu	NOUN
fcis-6363	54	17	+	+	CCONJ
fcis-6363	54	18	pooling	pool	VERB
fcis-6363	54	19	layers	layer	NOUN
fcis-6363	54	20	.	.	PUNCT
fcis-6363	55	1	the	the	DET
fcis-6363	55	2	feature	feature	NOUN
fcis-6363	55	3	maps	map	NOUN
fcis-6363	55	4	are	be	AUX
fcis-6363	55	5	shared	share	VERB
fcis-6363	55	6	for	for	ADP
fcis-6363	55	7	the	the	DET
fcis-6363	55	8	subsequent	subsequent	ADJ
fcis-6363	55	9	rpn	rpn	NOUN
fcis-6363	55	10	layer	layer	NOUN
fcis-6363	55	11	and	and	CCONJ
fcis-6363	55	12	the	the	DET
fcis-6363	55	13	full	full	ADJ
fcis-6363	55	14	connection	connection	NOUN
fcis-6363	55	15	layer	layer	NOUN
fcis-6363	55	16	.	.	PUNCT
fcis-6363	56	1	2	2	NUM
fcis-6363	56	2	)	)	PUNCT
fcis-6363	56	3	.	.	PUNCT
fcis-6363	57	1	region	region	NOUN
fcis-6363	57	2	proposal	proposal	NOUN
fcis-6363	57	3	networks	network	NOUN
fcis-6363	57	4	.	.	PUNCT
fcis-6363	58	1	classic	classic	ADJ
fcis-6363	58	2	detection	detection	NOUN
fcis-6363	58	3	methods	method	NOUN
fcis-6363	58	4	are	be	AUX
fcis-6363	58	5	time	time	NOUN
fcis-6363	58	6	-	-	PUNCT
fcis-6363	58	7	consuming	consume	VERB
fcis-6363	58	8	to	to	PART
fcis-6363	58	9	generate	generate	VERB
fcis-6363	58	10	detection	detection	NOUN
fcis-6363	58	11	boxes	box	NOUN
fcis-6363	58	12	.	.	PUNCT
fcis-6363	59	1	for	for	ADP
fcis-6363	59	2	example	example	NOUN
fcis-6363	59	3	,	,	PUNCT
fcis-6363	59	4	opencv	opencv	PROPN
fcis-6363	59	5	adaboost	adaboost	PROPN
fcis-6363	59	6	uses	use	VERB
fcis-6363	59	7	sliding	slide	VERB
fcis-6363	59	8	window	window	NOUN
fcis-6363	59	9	+	+	CCONJ
fcis-6363	59	10	image	image	NOUN
fcis-6363	59	11	pyramid	pyramid	NOUN
fcis-6363	59	12	to	to	PART
fcis-6363	59	13	generate	generate	VERB
fcis-6363	59	14	detection	detection	NOUN
fcis-6363	59	15	boxes	box	NOUN
fcis-6363	59	16	.	.	PUNCT
fcis-6363	60	1	selective	selective	ADJ
fcis-6363	60	2	search	search	NOUN
fcis-6363	60	3	(	(	PUNCT
fcis-6363	60	4	ss	ss	NOUN
fcis-6363	60	5	)	)	PUNCT
fcis-6363	60	6	is	be	AUX
fcis-6363	60	7	selective	selective	ADJ
fcis-6363	60	8	search	search	NOUN
fcis-6363	60	9	for	for	ADP
fcis-6363	60	10	r	r	NOUN
fcis-6363	60	11	-	-	PUNCT
fcis-6363	60	12	cnn	cnn	PROPN
fcis-6363	60	13	.	.	PUNCT
fcis-6363	61	1	faster	fast	ADJ
fcis-6363	61	2	rcnn	rcnn	PROPN
fcis-6363	61	3	abandons	abandon	VERB
fcis-6363	61	4	traditional	traditional	ADJ
fcis-6363	61	5	sliding	slide	VERB
fcis-6363	61	6	window	window	NOUN
fcis-6363	61	7	and	and	CCONJ
fcis-6363	61	8	ss	ss	NOUN
fcis-6363	61	9	methods	method	NOUN
fcis-6363	61	10	and	and	CCONJ
fcis-6363	61	11	directly	directly	ADV
fcis-6363	61	12	uses	use	VERB
fcis-6363	61	13	rpn	rpn	NOUN
fcis-6363	61	14	to	to	PART
fcis-6363	61	15	generate	generate	VERB
fcis-6363	61	16	detection	detection	NOUN
fcis-6363	61	17	frames	frame	NOUN
fcis-6363	61	18	,	,	PUNCT
fcis-6363	61	19	which	which	PRON
fcis-6363	61	20	is	be	AUX
fcis-6363	61	21	also	also	ADV
fcis-6363	61	22	a	a	DET
fcis-6363	61	23	great	great	ADJ
fcis-6363	61	24	advantage	advantage	NOUN
fcis-6363	61	25	of	of	ADP
fcis-6363	61	26	faster	fast	ADJ
fcis-6363	61	27	rcnn	rcnn	NOUN
fcis-6363	61	28	and	and	CCONJ
fcis-6363	61	29	can	can	AUX
fcis-6363	61	30	greatly	greatly	ADV
fcis-6363	61	31	improve	improve	VERB
fcis-6363	61	32	the	the	DET
fcis-6363	61	33	generation	generation	NOUN
fcis-6363	61	34	speed	speed	NOUN
fcis-6363	61	35	of	of	ADP
fcis-6363	61	36	detection	detection	NOUN
fcis-6363	61	37	frames	frame	NOUN
fcis-6363	61	38	.	.	PUNCT
fcis-6363	62	1	the	the	DET
fcis-6363	62	2	rpn	rpn	PROPN
fcis-6363	62	3	network	network	NOUN
fcis-6363	62	4	is	be	AUX
fcis-6363	62	5	used	use	VERB
fcis-6363	62	6	to	to	PART
fcis-6363	62	7	generate	generate	VERB
fcis-6363	62	8	region	region	NOUN
fcis-6363	62	9	proposals	proposal	NOUN
fcis-6363	62	10	.	.	PUNCT
fcis-6363	63	1	this	this	DET
fcis-6363	63	2	layer	layer	NOUN
fcis-6363	63	3	judges	judge	VERB
fcis-6363	63	4	whether	whether	SCONJ
fcis-6363	63	5	anchors	anchor	NOUN
fcis-6363	63	6	are	be	AUX
fcis-6363	63	7	positive	positive	ADJ
fcis-6363	63	8	or	or	CCONJ
fcis-6363	63	9	negative	negative	ADJ
fcis-6363	63	10	through	through	ADP
fcis-6363	63	11	softmax	softmax	NOUN
fcis-6363	63	12	,	,	PUNCT
fcis-6363	63	13	and	and	CCONJ
fcis-6363	63	14	then	then	ADV
fcis-6363	63	15	uses	use	VERB
fcis-6363	63	16	bounding	bound	VERB
fcis-6363	63	17	box	box	NOUN
fcis-6363	63	18	regression	regression	NOUN
fcis-6363	63	19	to	to	PART
fcis-6363	63	20	modify	modify	VERB
fcis-6363	63	21	anchors	anchor	NOUN
fcis-6363	63	22	to	to	PART
fcis-6363	63	23	obtain	obtain	VERB
fcis-6363	63	24	accurate	accurate	ADJ
fcis-6363	63	25	proposals	proposal	NOUN
fcis-6363	63	26	.	.	PUNCT
fcis-6363	64	1	3	3	NUM
fcis-6363	64	2	)	)	PUNCT
fcis-6363	64	3	.	.	PUNCT
fcis-6363	65	1	roi	roi	NOUN
fcis-6363	65	2	pooling	pooling	NOUN
fcis-6363	65	3	.	.	PUNCT
fcis-6363	66	1	this	this	DET
fcis-6363	66	2	layer	layer	NOUN
fcis-6363	66	3	collects	collect	VERB
fcis-6363	66	4	input	input	NOUN
fcis-6363	66	5	feature	feature	NOUN
fcis-6363	66	6	maps	map	NOUN
fcis-6363	66	7	and	and	CCONJ
fcis-6363	66	8	proposals	proposal	NOUN
fcis-6363	66	9	,	,	PUNCT
fcis-6363	66	10	extracts	extract	NOUN
fcis-6363	66	11	proposal	proposal	NOUN
fcis-6363	66	12	feature	feature	NOUN
fcis-6363	66	13	maps	map	NOUN
fcis-6363	66	14	after	after	ADP
fcis-6363	66	15	synthesizing	synthesize	VERB
fcis-6363	66	16	this	this	DET
fcis-6363	66	17	information	information	NOUN
fcis-6363	66	18	,	,	PUNCT
fcis-6363	66	19	and	and	CCONJ
fcis-6363	66	20	sends	send	VERB
fcis-6363	66	21	them	they	PRON
fcis-6363	66	22	to	to	ADP
fcis-6363	66	23	the	the	DET
fcis-6363	66	24	subsequent	subsequent	ADJ
fcis-6363	66	25	full	full	ADJ
fcis-6363	66	26	connection	connection	NOUN
fcis-6363	66	27	layer	layer	NOUN
fcis-6363	66	28	to	to	PART
fcis-6363	66	29	determine	determine	VERB
fcis-6363	66	30	the	the	DET
fcis-6363	66	31	target	target	NOUN
fcis-6363	66	32	category	category	NOUN
fcis-6363	66	33	.	.	PUNCT
fcis-6363	67	1	the	the	DET
fcis-6363	67	2	roi	roi	NOUN
fcis-6363	67	3	pooling	pool	VERB
fcis-6363	67	4	layer	layer	NOUN
fcis-6363	67	5	is	be	AUX
fcis-6363	67	6	responsible	responsible	ADJ
fcis-6363	67	7	for	for	ADP
fcis-6363	67	8	collecting	collect	VERB
fcis-6363	67	9	the	the	DET
fcis-6363	67	10	proposal	proposal	NOUN
fcis-6363	67	11	,	,	PUNCT
fcis-6363	67	12	calculating	calculate	VERB
fcis-6363	67	13	the	the	DET
fcis-6363	67	14	proposal	proposal	NOUN
fcis-6363	67	15	feature	feature	NOUN
fcis-6363	67	16	maps	map	NOUN
fcis-6363	67	17	,	,	PUNCT
fcis-6363	67	18	and	and	CCONJ
fcis-6363	67	19	sending	send	VERB
fcis-6363	67	20	them	they	PRON
fcis-6363	67	21	to	to	ADP
fcis-6363	67	22	the	the	DET
fcis-6363	67	23	subsequent	subsequent	ADJ
fcis-6363	67	24	network	network	NOUN
fcis-6363	67	25	4.classification	4.classification	NUM
fcis-6363	67	26	.	.	PUNCT
fcis-6363	68	1	classification	classification	NOUN
fcis-6363	68	2	section	section	NOUN
fcis-6363	68	3	uses	use	VERB
fcis-6363	68	4	the	the	DET
fcis-6363	68	5	proposal	proposal	NOUN
fcis-6363	68	6	feature	feature	NOUN
fcis-6363	68	7	maps	map	NOUN
fcis-6363	68	8	obtained	obtain	VERB
fcis-6363	68	9	,	,	PUNCT
fcis-6363	68	10	calculates	calculate	VERB
fcis-6363	68	11	the	the	DET
fcis-6363	68	12	specific	specific	ADJ
fcis-6363	68	13	category	category	NOUN
fcis-6363	68	14	of	of	ADP
fcis-6363	68	15	each	each	DET
fcis-6363	68	16	proposal	proposal	NOUN
fcis-6363	68	17	through	through	ADP
fcis-6363	68	18	the	the	DET
fcis-6363	68	19	full	full	ADJ
fcis-6363	68	20	connect	connect	NOUN
fcis-6363	68	21	layer	layer	NOUN
fcis-6363	68	22	and	and	CCONJ
fcis-6363	68	23	softmax	softmax	NOUN
fcis-6363	68	24	,	,	PUNCT
fcis-6363	68	25	and	and	CCONJ
fcis-6363	68	26	outputs	output	VERB
fcis-6363	68	27	the	the	DET
fcis-6363	68	28	cls_prob	cls_prob	NOUN
fcis-6363	68	29	probability	probability	NOUN
fcis-6363	68	30	vector	vector	NOUN
fcis-6363	68	31	.	.	PUNCT
fcis-6363	69	1	bounding	bound	VERB
fcis-6363	69	2	box	box	PROPN
fcis-6363	69	3	regression	regression	NOUN
fcis-6363	69	4	was	be	AUX
fcis-6363	69	5	also	also	ADV
fcis-6363	69	6	used	use	VERB
fcis-6363	69	7	to	to	PART
fcis-6363	69	8	obtain	obtain	VERB
fcis-6363	69	9	the	the	DET
fcis-6363	69	10	location	location	NOUN
fcis-6363	69	11	offset	offset	NOUN
fcis-6363	69	12	bbox_pred	bbox_pre	VERB
fcis-6363	69	13	of	of	ADP
fcis-6363	69	14	each	each	DET
fcis-6363	69	15	proposal	proposal	NOUN
fcis-6363	69	16	,	,	PUNCT
fcis-6363	69	17	which	which	PRON
fcis-6363	69	18	could	could	AUX
fcis-6363	69	19	be	be	AUX
fcis-6363	69	20	used	use	VERB
fcis-6363	69	21	to	to	PART
fcis-6363	69	22	regression	regression	VERB
fcis-6363	69	23	more	more	ADV
fcis-6363	69	24	accurate	accurate	ADJ
fcis-6363	69	25	target	target	NOUN
fcis-6363	69	26	detection	detection	NOUN
fcis-6363	69	27	boxes.the	boxes.the	DET
fcis-6363	69	28	model	model	NOUN
fcis-6363	69	29	structure	structure	NOUN
fcis-6363	69	30	is	be	AUX
fcis-6363	69	31	shown	show	VERB
fcis-6363	69	32	in	in	ADP
fcis-6363	69	33	figure	figure	NOUN
fcis-6363	69	34	1	1	NUM
fcis-6363	69	35	.	.	PUNCT
fcis-6363	70	1	we	we	PRON
fcis-6363	70	2	replace	replace	VERB
fcis-6363	70	3	alexnet	alexnet	NOUN
fcis-6363	70	4	,	,	PUNCT
fcis-6363	70	5	the	the	DET
fcis-6363	70	6	original	original	ADJ
fcis-6363	70	7	backbone	backbone	NOUN
fcis-6363	70	8	network	network	NOUN
fcis-6363	70	9	of	of	ADP
fcis-6363	70	10	faster	fast	ADJ
fcis-6363	70	11	-	-	PUNCT
fcis-6363	70	12	rcnn	rcnn	NOUN
fcis-6363	70	13	,	,	PUNCT
fcis-6363	70	14	into	into	ADP
fcis-6363	70	15	hrnet	hrnet	NOUN
fcis-6363	70	16	with	with	ADP
fcis-6363	70	17	more	more	ADV
fcis-6363	70	18	powerful	powerful	ADJ
fcis-6363	70	19	feature	feature	NOUN
fcis-6363	70	20	extraction	extraction	NOUN
fcis-6363	70	21	function	function	NOUN
fcis-6363	70	22	.	.	PUNCT
fcis-6363	71	1	hrnet[17	hrnet[17	PROPN
fcis-6363	71	2	]	]	X
fcis-6363	71	3	keeps	keep	VERB
fcis-6363	71	4	high	high	ADJ
fcis-6363	71	5	-	-	PUNCT
fcis-6363	71	6	resolution	resolution	NOUN
fcis-6363	71	7	branches	branch	NOUN
fcis-6363	71	8	in	in	ADP
fcis-6363	71	9	the	the	DET
fcis-6363	71	10	whole	whole	ADJ
fcis-6363	71	11	network	network	NOUN
fcis-6363	71	12	propagation	propagation	NOUN
fcis-6363	71	13	process	process	NOUN
fcis-6363	71	14	,	,	PUNCT
fcis-6363	71	15	and	and	CCONJ
fcis-6363	71	16	gradually	gradually	ADV
fcis-6363	71	17	adds	add	VERB
fcis-6363	71	18	low	low	ADJ
fcis-6363	71	19	-	-	PUNCT
fcis-6363	71	20	resolution	resolution	NOUN
fcis-6363	71	21	branches	branch	NOUN
fcis-6363	71	22	at	at	ADP
fcis-6363	71	23	each	each	DET
fcis-6363	71	24	stage	stage	NOUN
fcis-6363	71	25	to	to	PART
fcis-6363	71	26	obtain	obtain	VERB
fcis-6363	71	27	more	more	ADJ
fcis-6363	71	28	global	global	ADJ
fcis-6363	71	29	information	information	NOUN
fcis-6363	71	30	.	.	PUNCT
fcis-6363	72	1	hrnet	hrnet	NOUN
fcis-6363	72	2	connects	connect	VERB
fcis-6363	72	3	high	high	ADJ
fcis-6363	72	4	resolution	resolution	NOUN
fcis-6363	72	5	to	to	ADP
fcis-6363	72	6	low	low	ADJ
fcis-6363	72	7	resolution	resolution	NOUN
fcis-6363	72	8	subnets	subnet	NOUN
fcis-6363	72	9	in	in	ADP
fcis-6363	72	10	parallel	parallel	NOUN
fcis-6363	72	11	,	,	PUNCT
fcis-6363	72	12	rather	rather	ADV
fcis-6363	72	13	than	than	ADP
fcis-6363	72	14	in	in	ADP
fcis-6363	72	15	series	series	NOUN
fcis-6363	72	16	as	as	SCONJ
fcis-6363	72	17	most	most	ADJ
fcis-6363	72	18	existing	exist	VERB
fcis-6363	72	19	solutions	solution	NOUN
fcis-6363	72	20	do	do	VERB
fcis-6363	72	21	.	.	PUNCT
fcis-6363	73	1	as	as	ADP
fcis-6363	73	2	a	a	DET
fcis-6363	73	3	result	result	NOUN
fcis-6363	73	4	,	,	PUNCT
fcis-6363	73	5	it	it	PRON
fcis-6363	73	6	is	be	AUX
fcis-6363	73	7	able	able	ADJ
fcis-6363	73	8	to	to	PART
fcis-6363	73	9	maintain	maintain	VERB
fcis-6363	73	10	high	high	ADJ
fcis-6363	73	11	resolution	resolution	NOUN
fcis-6363	73	12	,	,	PUNCT
fcis-6363	73	13	rather	rather	ADV
fcis-6363	73	14	than	than	ADP
fcis-6363	73	15	restoring	restore	VERB
fcis-6363	73	16	resolution	resolution	NOUN
fcis-6363	73	17	through	through	ADP
fcis-6363	73	18	a	a	DET
fcis-6363	73	19	process	process	NOUN
fcis-6363	73	20	from	from	ADP
fcis-6363	73	21	low	low	ADJ
fcis-6363	73	22	to	to	ADP
fcis-6363	73	23	high	high	ADJ
fcis-6363	73	24	,	,	PUNCT
fcis-6363	73	25	so	so	CCONJ
fcis-6363	73	26	the	the	DET
fcis-6363	73	27	predicted	predict	VERB
fcis-6363	73	28	heat	heat	NOUN
fcis-6363	73	29	map	map	NOUN
fcis-6363	73	30	may	may	AUX
fcis-6363	73	31	be	be	AUX
fcis-6363	73	32	more	more	ADV
fcis-6363	73	33	spatially	spatially	ADV
fcis-6363	73	34	accurate	accurate	ADJ
fcis-6363	73	35	.	.	PUNCT
fcis-6363	74	1	most	most	ADJ
fcis-6363	74	2	of	of	ADP
fcis-6363	74	3	the	the	DET
fcis-6363	74	4	existing	exist	VERB
fcis-6363	74	5	fusion	fusion	NOUN
fcis-6363	74	6	schemes	scheme	NOUN
fcis-6363	74	7	converge	converge	VERB
fcis-6363	74	8	low	low	ADJ
fcis-6363	74	9	and	and	CCONJ
fcis-6363	74	10	high	high	ADJ
fcis-6363	74	11	-	-	PUNCT
fcis-6363	74	12	level	level	NOUN
fcis-6363	74	13	representations	representation	NOUN
fcis-6363	74	14	.	.	PUNCT
fcis-6363	75	1	instead	instead	ADV
fcis-6363	75	2	,	,	PUNCT
fcis-6363	75	3	hrnet	hrnet	NOUN
fcis-6363	75	4	enhances	enhance	VERB
fcis-6363	75	5	the	the	DET
fcis-6363	75	6	high	high	ADJ
fcis-6363	75	7	-	-	PUNCT
fcis-6363	75	8	resolution	resolution	NOUN
fcis-6363	75	9	representation	representation	NOUN
fcis-6363	75	10	with	with	ADP
fcis-6363	75	11	low	low	ADJ
fcis-6363	75	12	resolution	resolution	NOUN
fcis-6363	75	13	representations	representation	NOUN
fcis-6363	75	14	of	of	ADP
fcis-6363	75	15	the	the	DET
fcis-6363	75	16	same	same	ADJ
fcis-6363	75	17	depth	depth	NOUN
fcis-6363	75	18	and	and	CCONJ
fcis-6363	75	19	similar	similar	ADJ
fcis-6363	75	20	level	level	NOUN
fcis-6363	75	21	,	,	PUNCT
fcis-6363	75	22	and	and	CCONJ
fcis-6363	75	23	vice	vice	ADV
fcis-6363	75	24	versa	versa	ADV
fcis-6363	75	25	,	,	PUNCT
fcis-6363	75	26	through	through	ADP
fcis-6363	75	27	multiple	multiple	ADJ
fcis-6363	75	28	multi	multi	ADJ
fcis-6363	75	29	-	-	ADJ
fcis-6363	75	30	scale	scale	ADJ
fcis-6363	75	31	fusions	fusion	NOUN
fcis-6363	75	32	,	,	PUNCT
fcis-6363	75	33	so	so	SCONJ
fcis-6363	75	34	that	that	SCONJ
fcis-6363	75	35	the	the	DET
fcis-6363	75	36	high	high	ADJ
fcis-6363	75	37	-	-	PUNCT
fcis-6363	75	38	resolution	resolution	NOUN
fcis-6363	75	39	representation	representation	NOUN
fcis-6363	75	40	also	also	ADV
fcis-6363	75	41	has	have	VERB
fcis-6363	75	42	rich	rich	ADJ
fcis-6363	75	43	attitude	attitude	NOUN
fcis-6363	75	44	estimation	estimation	NOUN
fcis-6363	75	45	capabilities	capability	NOUN
fcis-6363	75	46	.	.	PUNCT
fcis-6363	76	1	as	as	ADP
fcis-6363	76	2	a	a	DET
fcis-6363	76	3	result	result	NOUN
fcis-6363	76	4	,	,	PUNCT
fcis-6363	76	5	our	our	PRON
fcis-6363	76	6	predicted	predict	VERB
fcis-6363	76	7	heat	heat	NOUN
fcis-6363	76	8	map	map	NOUN
fcis-6363	76	9	is	be	AUX
fcis-6363	76	10	likely	likely	ADJ
fcis-6363	76	11	to	to	PART
fcis-6363	76	12	be	be	AUX
fcis-6363	76	13	more	more	ADV
fcis-6363	76	14	accurate	accurate	ADJ
fcis-6363	76	15	,	,	PUNCT
fcis-6363	76	16	and	and	CCONJ
fcis-6363	76	17	finally	finally	ADV
fcis-6363	76	18	,	,	PUNCT
fcis-6363	76	19	the	the	DET
fcis-6363	76	20	high	high	ADJ
fcis-6363	76	21	-	-	PUNCT
fcis-6363	76	22	resolution	resolution	NOUN
fcis-6363	76	23	branch	branch	NOUN
fcis-6363	76	24	is	be	AUX
fcis-6363	76	25	responsible	responsible	ADJ
fcis-6363	76	26	for	for	ADP
fcis-6363	76	27	predicting	predict	VERB
fcis-6363	76	28	the	the	DET
fcis-6363	76	29	final	final	ADJ
fcis-6363	76	30	keypoint	keypoint	NOUN
fcis-6363	76	31	heatmap	heatmap	NOUN
fcis-6363	76	32	.	.	PUNCT
fcis-6363	77	1	the	the	DET
fcis-6363	77	2	model	model	NOUN
fcis-6363	77	3	structure	structure	NOUN
fcis-6363	77	4	is	be	AUX
fcis-6363	77	5	shown	show	VERB
fcis-6363	77	6	in	in	ADP
fcis-6363	77	7	the	the	DET
fcis-6363	77	8	figure2	figure2	ADJ
fcis-6363	77	9	:	:	PUNCT
fcis-6363	77	10	figure	figure	NOUN
fcis-6363	77	11	1	1	NUM
fcis-6363	77	12	.	.	PUNCT
fcis-6363	77	13	structure	structure	NOUN
fcis-6363	77	14	of	of	ADP
fcis-6363	77	15	the	the	DET
fcis-6363	77	16	faster	fast	ADJ
fcis-6363	77	17	-	-	PUNCT
fcis-6363	77	18	rcnn	rcnn	NOUN
fcis-6363	77	19	network	network	NOUN
fcis-6363	77	20	figure	figure	NOUN
fcis-6363	77	21	2	2	NUM
fcis-6363	77	22	.	.	PUNCT
fcis-6363	77	23	hrnet	hrnet	NOUN
fcis-6363	77	24	network	network	NOUN
fcis-6363	77	25	structure	structure	NOUN
fcis-6363	77	26	3.2	3.2	NUM
fcis-6363	77	27	.	.	PUNCT
fcis-6363	78	1	densenet	densenet	NOUN
fcis-6363	78	2	the	the	DET
fcis-6363	78	3	dense	dense	ADJ
fcis-6363	78	4	connection	connection	NOUN
fcis-6363	78	5	mechanism	mechanism	NOUN
fcis-6363	78	6	is	be	AUX
fcis-6363	78	7	added	add	VERB
fcis-6363	78	8	to	to	PART
fcis-6363	78	9	improve	improve	VERB
fcis-6363	78	10	the	the	DET
fcis-6363	78	11	basic	basic	ADJ
fcis-6363	78	12	stage	stage	NOUN
fcis-6363	78	13	in	in	ADP
fcis-6363	78	14	hrnet	hrnet	NOUN
fcis-6363	78	15	,	,	PUNCT
fcis-6363	78	16	which	which	PRON
fcis-6363	78	17	not	not	PART
fcis-6363	78	18	only	only	ADV
fcis-6363	78	19	obtains	obtain	VERB
fcis-6363	78	20	clearer	clear	ADJ
fcis-6363	78	21	feature	feature	NOUN
fcis-6363	78	22	map	map	NOUN
fcis-6363	78	23	but	but	CCONJ
fcis-6363	78	24	also	also	ADV
fcis-6363	78	25	retains	retain	VERB
fcis-6363	78	26	richer	rich	ADJ
fcis-6363	78	27	details	detail	NOUN
fcis-6363	78	28	of	of	ADP
fcis-6363	78	29	key	key	ADJ
fcis-6363	78	30	points	point	NOUN
fcis-6363	78	31	required	require	VERB
fcis-6363	78	32	.	.	PUNCT
fcis-6363	79	1	densenet	densenet	NOUN
fcis-6363	79	2	directly	directly	ADV
fcis-6363	79	3	connects	connect	VERB
fcis-6363	79	4	all	all	DET
fcis-6363	79	5	layers	layer	NOUN
fcis-6363	79	6	under	under	ADP
fcis-6363	79	7	the	the	DET
fcis-6363	79	8	premise	premise	NOUN
fcis-6363	79	9	of	of	ADP
fcis-6363	79	10	ensuring	ensure	VERB
fcis-6363	79	11	maximum	maximum	ADJ
fcis-6363	79	12	information	information	NOUN
fcis-6363	79	13	transmission	transmission	NOUN
fcis-6363	79	14	between	between	ADP
fcis-6363	79	15	the	the	DET
fcis-6363	79	16	middle	middle	ADJ
fcis-6363	79	17	layer	layer	NOUN
fcis-6363	79	18	and	and	CCONJ
fcis-6363	79	19	the	the	DET
fcis-6363	79	20	layer	layer	NOUN
fcis-6363	79	21	of	of	ADP
fcis-6363	79	22	the	the	DET
fcis-6363	79	23	network	network	NOUN
fcis-6363	79	24	.	.	PUNCT
fcis-6363	80	1	in	in	ADP
fcis-6363	80	2	order	order	NOUN
fcis-6363	80	3	to	to	PART
fcis-6363	80	4	ensure	ensure	VERB
fcis-6363	80	5	feedforward	feedforward	NOUN
fcis-6363	80	6	characteristics	characteristic	NOUN
fcis-6363	80	7	,	,	PUNCT
fcis-6363	80	8	each	each	DET
fcis-6363	80	9	layer	layer	NOUN
fcis-6363	80	10	concatenates	concatenate	VERB
fcis-6363	80	11	input	input	NOUN
fcis-6363	80	12	from	from	ADP
fcis-6363	80	13	all	all	DET
fcis-6363	80	14	previous	previous	ADJ
fcis-6363	80	15	layers	layer	NOUN
fcis-6363	80	16	and	and	CCONJ
fcis-6363	80	17	then	then	ADV
fcis-6363	80	18	passes	pass	VERB
fcis-6363	80	19	the	the	DET
fcis-6363	80	20	output	output	NOUN
fcis-6363	80	21	feature	feature	NOUN
fcis-6363	80	22	map	map	NOUN
fcis-6363	80	23	to	to	ADP
fcis-6363	80	24	all	all	DET
fcis-6363	80	25	subsequent	subsequent	ADJ
fcis-6363	80	26	layers	layer	NOUN
fcis-6363	80	27	.	.	PUNCT
fcis-6363	81	1	denseblock	denseblock	PROPN
fcis-6363	81	2	is	be	AUX
fcis-6363	81	3	the	the	DET
fcis-6363	81	4	core	core	NOUN
fcis-6363	81	5	of	of	ADP
fcis-6363	81	6	densenet	densenet	NOUN
fcis-6363	81	7	,	,	PUNCT
fcis-6363	81	8	which	which	PRON
fcis-6363	81	9	establishes	establish	VERB
fcis-6363	81	10	the	the	DET
fcis-6363	81	11	dense	dense	ADJ
fcis-6363	81	12	connection	connection	NOUN
fcis-6363	81	13	between	between	ADP
fcis-6363	81	14	the	the	DET
fcis-6363	81	15	previous	previous	ADJ
fcis-6363	81	16	layer	layer	NOUN
fcis-6363	81	17	and	and	CCONJ
fcis-6363	81	18	all	all	DET
fcis-6363	81	19	the	the	DET
fcis-6363	81	20	subsequent	subsequent	ADJ
fcis-6363	81	21	layers	layer	NOUN
fcis-6363	81	22	in	in	ADP
fcis-6363	81	23	the	the	DET
fcis-6363	81	24	network	network	NOUN
fcis-6363	81	25	,	,	PUNCT
fcis-6363	81	26	so	so	SCONJ
fcis-6363	81	27	that	that	SCONJ
fcis-6363	81	28	each	each	DET
fcis-6363	81	29	layer	layer	NOUN
fcis-6363	81	30	can	can	AUX
fcis-6363	81	31	receive	receive	VERB
fcis-6363	81	32	the	the	DET
fcis-6363	81	33	characteristic	characteristic	ADJ
fcis-6363	81	34	input	input	NOUN
fcis-6363	81	35	of	of	ADP
fcis-6363	81	36	all	all	DET
fcis-6363	81	37	the	the	DET
fcis-6363	81	38	layers	layer	NOUN
fcis-6363	81	39	before	before	ADP
fcis-6363	81	40	it	it	PRON
fcis-6363	81	41	.	.	PUNCT
fcis-6363	82	1	the	the	DET
fcis-6363	82	2	dense	dense	ADJ
fcis-6363	82	3	connection	connection	NOUN
fcis-6363	82	4	mode	mode	NOUN
fcis-6363	82	5	is	be	AUX
fcis-6363	82	6	shown	show	VERB
fcis-6363	82	7	in	in	ADP
fcis-6363	82	8	figure	figure	NOUN
fcis-6363	82	9	3	3	NUM
fcis-6363	82	10	.	.	PUNCT
fcis-6363	83	1	in	in	ADP
fcis-6363	83	2	figure	figure	NOUN
fcis-6363	83	3	3	3	NUM
fcis-6363	83	4	,	,	PUNCT
fcis-6363	83	5	the	the	DET
fcis-6363	83	6	thick	thick	ADJ
fcis-6363	83	7	line	line	NOUN
fcis-6363	83	8	connection	connection	NOUN
fcis-6363	83	9	represents	represent	VERB
fcis-6363	83	10	the	the	DET
fcis-6363	83	11	transmission	transmission	NOUN
fcis-6363	83	12	of	of	ADP
fcis-6363	83	13	features	feature	NOUN
fcis-6363	83	14	.	.	PUNCT
fcis-6363	84	1	the	the	DET
fcis-6363	84	2	connections	connection	NOUN
fcis-6363	84	3	between	between	ADP
fcis-6363	84	4	the	the	DET
fcis-6363	84	5	front	front	ADJ
fcis-6363	84	6	and	and	CCONJ
fcis-6363	84	7	back	back	ADJ
fcis-6363	84	8	layers	layer	NOUN
fcis-6363	84	9	are	be	AUX
fcis-6363	84	10	carried	carry	VERB
fcis-6363	84	11	out	out	ADP
fcis-6363	84	12	in	in	ADP
fcis-6363	84	13	concat	concat	NOUN
fcis-6363	84	14	mode	mode	NOUN
fcis-6363	84	15	,	,	PUNCT
fcis-6363	84	16	which	which	PRON
fcis-6363	84	17	enables	enable	VERB
fcis-6363	84	18	the	the	DET
fcis-6363	84	19	information	information	NOUN
fcis-6363	84	20	of	of	ADP
fcis-6363	84	21	subtle	subtle	ADJ
fcis-6363	84	22	key	key	ADJ
fcis-6363	84	23	points	point	NOUN
fcis-6363	84	24	in	in	ADP
fcis-6363	84	25	the	the	DET
fcis-6363	84	26	shallow	shallow	ADJ
fcis-6363	84	27	network	network	NOUN
fcis-6363	84	28	to	to	PART
fcis-6363	84	29	be	be	AUX
fcis-6363	84	30	retained	retain	VERB
fcis-6363	84	31	in	in	ADP
fcis-6363	84	32	the	the	DET
fcis-6363	84	33	deep	deep	ADJ
fcis-6363	84	34	network	network	NOUN
fcis-6363	84	35	through	through	ADP
fcis-6363	84	36	the	the	DET
fcis-6363	84	37	repeated	repeat	VERB
fcis-6363	84	38	reuse	reuse	NOUN
fcis-6363	84	39	of	of	ADP
fcis-6363	84	40	features	feature	NOUN
fcis-6363	84	41	.	.	PUNCT
fcis-6363	85	1	on	on	ADP
fcis-6363	85	2	the	the	DET
fcis-6363	85	3	basis	basis	NOUN
fcis-6363	85	4	of	of	ADP
fcis-6363	85	5	hrnet	hrnet	ADJ
fcis-6363	85	6	high	high	ADJ
fcis-6363	85	7	resolution	resolution	NOUN
fcis-6363	85	8	,	,	PUNCT
fcis-6363	85	9	dense	dense	ADJ
fcis-6363	85	10	connection	connection	NOUN
fcis-6363	85	11	175	175	NUM
fcis-6363	85	12	is	be	AUX
fcis-6363	85	13	introduced	introduce	VERB
fcis-6363	85	14	to	to	PART
fcis-6363	85	15	improve	improve	VERB
fcis-6363	85	16	the	the	DET
fcis-6363	85	17	stage	stage	NOUN
fcis-6363	85	18	module	module	NOUN
fcis-6363	85	19	in	in	ADP
fcis-6363	85	20	hrnet	hrnet	NOUN
fcis-6363	85	21	.	.	PUNCT
fcis-6363	86	1	this	this	PRON
fcis-6363	86	2	is	be	AUX
fcis-6363	86	3	because	because	SCONJ
fcis-6363	86	4	shallow	shallow	ADJ
fcis-6363	86	5	feature	feature	NOUN
fcis-6363	86	6	maps	map	NOUN
fcis-6363	86	7	contain	contain	VERB
fcis-6363	86	8	rich	rich	ADJ
fcis-6363	86	9	details	detail	NOUN
fcis-6363	86	10	but	but	CCONJ
fcis-6363	86	11	lack	lack	VERB
fcis-6363	86	12	semantic	semantic	ADJ
fcis-6363	86	13	information	information	NOUN
fcis-6363	86	14	,	,	PUNCT
fcis-6363	86	15	while	while	SCONJ
fcis-6363	86	16	deep	deep	ADJ
fcis-6363	86	17	feature	feature	NOUN
fcis-6363	86	18	maps	map	NOUN
fcis-6363	86	19	are	be	AUX
fcis-6363	86	20	on	on	ADP
fcis-6363	86	21	the	the	DET
fcis-6363	86	22	contrary	contrary	NOUN
fcis-6363	87	1	[	[	X
fcis-6363	87	2	16	16	NUM
fcis-6363	87	3	]	]	PUNCT
fcis-6363	87	4	.	.	PUNCT
fcis-6363	88	1	dense	dense	ADJ
fcis-6363	88	2	connection	connection	NOUN
fcis-6363	88	3	mode	mode	NOUN
fcis-6363	88	4	helps	help	VERB
fcis-6363	88	5	to	to	PART
fcis-6363	88	6	complement	complement	VERB
fcis-6363	88	7	the	the	DET
fcis-6363	88	8	advantages	advantage	NOUN
fcis-6363	88	9	between	between	ADP
fcis-6363	88	10	shallow	shallow	ADJ
fcis-6363	88	11	and	and	CCONJ
fcis-6363	88	12	deep	deep	ADJ
fcis-6363	88	13	features	feature	NOUN
fcis-6363	88	14	.	.	PUNCT
fcis-6363	89	1	the	the	DET
fcis-6363	89	2	dense	dense	ADJ
fcis-6363	89	3	connection	connection	NOUN
fcis-6363	89	4	mechanism	mechanism	NOUN
fcis-6363	89	5	extracts	extract	VERB
fcis-6363	89	6	the	the	DET
fcis-6363	89	7	features	feature	NOUN
fcis-6363	89	8	of	of	ADP
fcis-6363	89	9	each	each	DET
fcis-6363	89	10	layer	layer	NOUN
fcis-6363	89	11	repeatedly	repeatedly	ADV
fcis-6363	89	12	and	and	CCONJ
fcis-6363	89	13	transmits	transmit	VERB
fcis-6363	89	14	the	the	DET
fcis-6363	89	15	information	information	NOUN
fcis-6363	89	16	of	of	ADP
fcis-6363	89	17	multiple	multiple	ADJ
fcis-6363	89	18	layers	layer	NOUN
fcis-6363	89	19	together	together	ADV
fcis-6363	89	20	,	,	PUNCT
fcis-6363	89	21	which	which	PRON
fcis-6363	89	22	makes	make	VERB
fcis-6363	89	23	the	the	DET
fcis-6363	89	24	network	network	NOUN
fcis-6363	89	25	have	have	VERB
fcis-6363	89	26	richer	rich	ADJ
fcis-6363	89	27	feature	feature	NOUN
fcis-6363	89	28	graph	graph	NOUN
fcis-6363	89	29	representation	representation	NOUN
fcis-6363	89	30	.	.	PUNCT
fcis-6363	90	1	figure	figure	NOUN
fcis-6363	90	2	3	3	NUM
fcis-6363	90	3	.	.	PUNCT
fcis-6363	90	4	schematic	schematic	ADJ
fcis-6363	90	5	diagram	diagram	NOUN
fcis-6363	90	6	of	of	ADP
fcis-6363	90	7	desnses	desnse	NOUN
fcis-6363	90	8	connection	connection	NOUN
fcis-6363	90	9	mode	mode	NOUN
fcis-6363	90	10	figure	figure	NOUN
fcis-6363	90	11	4	4	NUM
fcis-6363	90	12	.	.	PUNCT
fcis-6363	90	13	dense	dense	ADJ
fcis-6363	90	14	-	-	PUNCT
fcis-6363	90	15	hrnet	hrnet	NOUN
fcis-6363	90	16	implementation	implementation	NOUN
fcis-6363	90	17	with	with	ADP
fcis-6363	90	18	multiple	multiple	ADJ
fcis-6363	90	19	resolutions	resolution	NOUN
fcis-6363	90	20	4	4	NUM
fcis-6363	90	21	.	.	PUNCT
fcis-6363	90	22	experiment	experiment	NOUN
fcis-6363	90	23	experimental	experimental	ADJ
fcis-6363	90	24	environment	environment	NOUN
fcis-6363	90	25	and	and	CCONJ
fcis-6363	90	26	parameters	parameter	NOUN
fcis-6363	90	27	model	model	NOUN
fcis-6363	90	28	training	training	NOUN
fcis-6363	90	29	and	and	CCONJ
fcis-6363	90	30	testing	testing	NOUN
fcis-6363	90	31	in	in	ADP
fcis-6363	90	32	this	this	DET
fcis-6363	90	33	paper	paper	NOUN
fcis-6363	90	34	were	be	AUX
fcis-6363	90	35	carried	carry	VERB
fcis-6363	90	36	out	out	ADP
fcis-6363	90	37	on	on	ADP
fcis-6363	90	38	mmdetection	mmdetection	NOUN
fcis-6363	90	39	platform	platform	NOUN
fcis-6363	90	40	,	,	PUNCT
fcis-6363	90	41	which	which	PRON
fcis-6363	90	42	is	be	AUX
fcis-6363	90	43	an	an	DET
fcis-6363	90	44	open	open	ADJ
fcis-6363	90	45	source	source	NOUN
fcis-6363	90	46	project	project	NOUN
fcis-6363	90	47	launched	launch	VERB
fcis-6363	90	48	by	by	ADP
fcis-6363	90	49	sensetime	sensetime	NOUN
fcis-6363	90	50	and	and	CCONJ
fcis-6363	90	51	the	the	DET
fcis-6363	90	52	chinese	chinese	PROPN
fcis-6363	90	53	university	university	PROPN
fcis-6363	90	54	of	of	ADP
fcis-6363	90	55	hong	hong	PROPN
fcis-6363	90	56	kong	kong	PROPN
fcis-6363	90	57	for	for	ADP
fcis-6363	90	58	target	target	NOUN
fcis-6363	90	59	detection	detection	NOUN
fcis-6363	90	60	tasks	task	NOUN
fcis-6363	90	61	.	.	PUNCT
fcis-6363	91	1	mmdetection	mmdetection	NOUN
fcis-6363	91	2	has	have	AUX
fcis-6363	91	3	implemented	implement	VERB
fcis-6363	91	4	a	a	DET
fcis-6363	91	5	large	large	ADJ
fcis-6363	91	6	number	number	NOUN
fcis-6363	91	7	of	of	ADP
fcis-6363	91	8	target	target	NOUN
fcis-6363	91	9	detection	detection	NOUN
fcis-6363	91	10	algorithms	algorithm	NOUN
fcis-6363	91	11	based	base	VERB
fcis-6363	91	12	on	on	ADP
fcis-6363	91	13	pytorch	pytorch	NOUN
fcis-6363	91	14	.	.	PUNCT
fcis-6363	92	1	the	the	DET
fcis-6363	92	2	process	process	NOUN
fcis-6363	92	3	of	of	ADP
fcis-6363	92	4	data	datum	NOUN
fcis-6363	92	5	set	set	VERB
fcis-6363	92	6	construction	construction	NOUN
fcis-6363	92	7	,	,	PUNCT
fcis-6363	92	8	model	model	NOUN
fcis-6363	92	9	building	building	NOUN
fcis-6363	92	10	,	,	PUNCT
fcis-6363	92	11	training	training	NOUN
fcis-6363	92	12	strategy	strategy	NOUN
fcis-6363	92	13	and	and	CCONJ
fcis-6363	92	14	so	so	ADV
fcis-6363	92	15	on	on	ADV
fcis-6363	92	16	are	be	AUX
fcis-6363	92	17	encapsulated	encapsulate	VERB
fcis-6363	92	18	into	into	ADP
fcis-6363	92	19	one	one	NUM
fcis-6363	92	20	module	module	NOUN
fcis-6363	92	21	.	.	PUNCT
fcis-6363	93	1	through	through	ADP
fcis-6363	93	2	module	module	NOUN
fcis-6363	93	3	call	call	NOUN
fcis-6363	93	4	,	,	PUNCT
fcis-6363	93	5	we	we	PRON
fcis-6363	93	6	can	can	AUX
fcis-6363	93	7	realize	realize	VERB
fcis-6363	93	8	a	a	DET
fcis-6363	93	9	new	new	ADJ
fcis-6363	93	10	algorithm	algorithm	NOUN
fcis-6363	93	11	with	with	ADP
fcis-6363	93	12	a	a	DET
fcis-6363	93	13	small	small	ADJ
fcis-6363	93	14	amount	amount	NOUN
fcis-6363	93	15	of	of	ADP
fcis-6363	93	16	code	code	NOUN
fcis-6363	93	17	,	,	PUNCT
fcis-6363	93	18	which	which	PRON
fcis-6363	93	19	greatly	greatly	ADV
fcis-6363	93	20	improves	improve	VERB
fcis-6363	93	21	the	the	DET
fcis-6363	93	22	code	code	NOUN
fcis-6363	93	23	reuse	reuse	NOUN
fcis-6363	93	24	rate	rate	NOUN
fcis-6363	93	25	.	.	PUNCT
fcis-6363	94	1	the	the	DET
fcis-6363	94	2	server	server	NOUN
fcis-6363	94	3	is	be	AUX
fcis-6363	94	4	installed	instal	VERB
fcis-6363	94	5	with	with	ADP
fcis-6363	94	6	ubuntu18.01	ubuntu18.01	PROPN
fcis-6363	94	7	os	os	NOUN
fcis-6363	94	8	and	and	CCONJ
fcis-6363	94	9	three	three	NUM
fcis-6363	94	10	nvidia	nvidia	PROPN
fcis-6363	94	11	2070ti	2070ti	NOUN
fcis-6363	94	12	graphics	graphic	NOUN
fcis-6363	94	13	cards	card	NOUN
fcis-6363	94	14	.	.	PUNCT
fcis-6363	95	1	we	we	PRON
fcis-6363	95	2	scaled	scale	VERB
fcis-6363	95	3	the	the	DET
fcis-6363	95	4	input	input	NOUN
fcis-6363	95	5	image	image	NOUN
fcis-6363	95	6	size	size	NOUN
fcis-6363	95	7	uniformly	uniformly	ADV
fcis-6363	95	8	to	to	ADP
fcis-6363	95	9	256	256	NUM
fcis-6363	95	10	x	x	SYM
fcis-6363	95	11	192	192	NUM
fcis-6363	95	12	,	,	PUNCT
fcis-6363	95	13	the	the	DET
fcis-6363	95	14	epoch	epoch	NOUN
fcis-6363	95	15	number	number	NOUN
fcis-6363	95	16	was	be	AUX
fcis-6363	95	17	36	36	NUM
fcis-6363	95	18	,	,	PUNCT
fcis-6363	95	19	the	the	DET
fcis-6363	95	20	batch	batch	NOUN
fcis-6363	95	21	size	size	NOUN
fcis-6363	95	22	was	be	AUX
fcis-6363	95	23	15	15	NUM
fcis-6363	95	24	,	,	PUNCT
fcis-6363	95	25	and	and	CCONJ
fcis-6363	95	26	the	the	DET
fcis-6363	95	27	learning	learning	NOUN
fcis-6363	95	28	rate	rate	NOUN
fcis-6363	95	29	was	be	AUX
fcis-6363	95	30	0.001	0.001	NUM
fcis-6363	95	31	as	as	ADP
fcis-6363	95	32	our	our	PRON
fcis-6363	95	33	training	training	NOUN
fcis-6363	95	34	strategy	strategy	NOUN
fcis-6363	95	35	.	.	PUNCT
fcis-6363	96	1	4.1	4.1	NUM
fcis-6363	96	2	.	.	PUNCT
fcis-6363	96	3	data	datum	NOUN
fcis-6363	96	4	set	set	VERB
fcis-6363	96	5	in	in	ADP
fcis-6363	96	6	recent	recent	ADJ
fcis-6363	96	7	years	year	NOUN
fcis-6363	96	8	,	,	PUNCT
fcis-6363	96	9	with	with	ADP
fcis-6363	96	10	the	the	DET
fcis-6363	96	11	rapid	rapid	ADJ
fcis-6363	96	12	development	development	NOUN
fcis-6363	96	13	of	of	ADP
fcis-6363	96	14	deep	deep	ADJ
fcis-6363	96	15	learning	learning	NOUN
fcis-6363	96	16	,	,	PUNCT
fcis-6363	96	17	the	the	DET
fcis-6363	96	18	number	number	NOUN
fcis-6363	96	19	of	of	ADP
fcis-6363	96	20	layers	layer	NOUN
fcis-6363	96	21	of	of	ADP
fcis-6363	96	22	neural	neural	ADJ
fcis-6363	96	23	network	network	NOUN
fcis-6363	96	24	keeps	keep	VERB
fcis-6363	96	25	increasing	increase	VERB
fcis-6363	96	26	.	.	PUNCT
fcis-6363	97	1	compared	compare	VERB
fcis-6363	97	2	with	with	ADP
fcis-6363	97	3	traditional	traditional	ADJ
fcis-6363	97	4	models	model	NOUN
fcis-6363	97	5	,	,	PUNCT
fcis-6363	97	6	deep	deep	ADJ
fcis-6363	97	7	learning	learning	NOUN
fcis-6363	97	8	models	model	NOUN
fcis-6363	97	9	are	be	AUX
fcis-6363	97	10	more	more	ADV
fcis-6363	97	11	and	and	CCONJ
fcis-6363	97	12	more	more	ADV
fcis-6363	97	13	capable	capable	ADJ
fcis-6363	97	14	of	of	ADP
fcis-6363	97	15	expressing	express	VERB
fcis-6363	97	16	,	,	PUNCT
fcis-6363	97	17	but	but	CCONJ
fcis-6363	97	18	at	at	ADP
fcis-6363	97	19	the	the	DET
fcis-6363	97	20	same	same	ADJ
fcis-6363	97	21	time	time	NOUN
fcis-6363	97	22	,	,	PUNCT
fcis-6363	97	23	they	they	PRON
fcis-6363	97	24	are	be	AUX
fcis-6363	97	25	more	more	ADV
fcis-6363	97	26	likely	likely	ADJ
fcis-6363	97	27	to	to	PART
fcis-6363	97	28	sacrifice	sacrifice	VERB
fcis-6363	97	29	the	the	DET
fcis-6363	97	30	generalization	generalization	NOUN
fcis-6363	97	31	ability	ability	NOUN
fcis-6363	97	32	of	of	ADP
fcis-6363	97	33	unknown	unknown	ADJ
fcis-6363	97	34	data	datum	NOUN
fcis-6363	97	35	and	and	CCONJ
fcis-6363	97	36	focus	focus	VERB
fcis-6363	97	37	on	on	ADP
fcis-6363	97	38	interpreting	interpret	VERB
fcis-6363	97	39	or	or	CCONJ
fcis-6363	97	40	memorizing	memorize	VERB
fcis-6363	97	41	training	training	NOUN
fcis-6363	97	42	data	datum	NOUN
fcis-6363	97	43	,	,	PUNCT
fcis-6363	97	44	which	which	PRON
fcis-6363	97	45	is	be	AUX
fcis-6363	97	46	the	the	DET
fcis-6363	97	47	so	so	ADV
fcis-6363	97	48	-	-	PUNCT
fcis-6363	97	49	called	call	VERB
fcis-6363	97	50	overfitting	overfitte	VERB
fcis-6363	97	51	phenomenon	phenomenon	NOUN
fcis-6363	97	52	.	.	PUNCT
fcis-6363	98	1	one	one	NUM
fcis-6363	98	2	of	of	ADP
fcis-6363	98	3	the	the	DET
fcis-6363	98	4	effective	effective	ADJ
fcis-6363	98	5	means	mean	NOUN
fcis-6363	98	6	to	to	PART
fcis-6363	98	7	make	make	VERB
fcis-6363	98	8	up	up	ADP
fcis-6363	98	9	for	for	ADP
fcis-6363	98	10	this	this	DET
fcis-6363	98	11	shortcoming	shortcoming	NOUN
fcis-6363	98	12	is	be	AUX
fcis-6363	98	13	to	to	PART
fcis-6363	98	14	use	use	VERB
fcis-6363	98	15	high	high	ADJ
fcis-6363	98	16	-	-	PUNCT
fcis-6363	98	17	quality	quality	NOUN
fcis-6363	98	18	and	and	CCONJ
fcis-6363	98	19	large	large	ADJ
fcis-6363	98	20	-	-	PUNCT
fcis-6363	98	21	scale	scale	NOUN
fcis-6363	98	22	data	datum	NOUN
fcis-6363	98	23	sets	set	NOUN
fcis-6363	98	24	for	for	ADP
fcis-6363	98	25	training	training	NOUN
fcis-6363	98	26	.	.	PUNCT
fcis-6363	99	1	the	the	DET
fcis-6363	99	2	data	datum	NOUN
fcis-6363	99	3	set	set	VERB
fcis-6363	99	4	we	we	PRON
fcis-6363	99	5	produced	produce	VERB
fcis-6363	99	6	was	be	AUX
fcis-6363	99	7	collected	collect	VERB
fcis-6363	99	8	in	in	ADP
fcis-6363	99	9	chengdu	chengdu	PROPN
fcis-6363	99	10	,	,	PUNCT
fcis-6363	99	11	sichuan	sichuan	PROPN
fcis-6363	99	12	province	province	PROPN
fcis-6363	99	13	,	,	PUNCT
fcis-6363	99	14	and	and	CCONJ
fcis-6363	99	15	a	a	DET
fcis-6363	99	16	total	total	NOUN
fcis-6363	99	17	of	of	ADP
fcis-6363	99	18	1236	1236	NUM
fcis-6363	99	19	images	image	NOUN
fcis-6363	99	20	of	of	ADP
fcis-6363	99	21	floating	float	VERB
fcis-6363	99	22	objects	object	NOUN
fcis-6363	99	23	on	on	ADP
fcis-6363	99	24	the	the	DET
fcis-6363	99	25	water	water	NOUN
fcis-6363	99	26	surface	surface	NOUN
fcis-6363	99	27	were	be	AUX
fcis-6363	99	28	collected	collect	VERB
fcis-6363	99	29	.	.	PUNCT
fcis-6363	100	1	lableme	lableme	NOUN
fcis-6363	100	2	annotation	annotation	NOUN
fcis-6363	100	3	tool	tool	NOUN
fcis-6363	100	4	was	be	AUX
fcis-6363	100	5	used	use	VERB
fcis-6363	100	6	to	to	PART
fcis-6363	100	7	convert	convert	VERB
fcis-6363	100	8	the	the	DET
fcis-6363	100	9	data	datum	NOUN
fcis-6363	100	10	into	into	ADP
fcis-6363	100	11	voc	voc	PROPN
fcis-6363	100	12	data	data	PROPN
fcis-6363	100	13	set	set	NOUN
fcis-6363	100	14	format	format	NOUN
fcis-6363	100	15	.	.	PUNCT
fcis-6363	101	1	in	in	ADP
fcis-6363	101	2	order	order	NOUN
fcis-6363	101	3	to	to	PART
fcis-6363	101	4	reduce	reduce	VERB
fcis-6363	101	5	the	the	DET
fcis-6363	101	6	overfitting	overfitte	VERB
fcis-6363	101	7	problem	problem	NOUN
fcis-6363	101	8	caused	cause	VERB
fcis-6363	101	9	by	by	ADP
fcis-6363	101	10	too	too	ADV
fcis-6363	101	11	small	small	ADJ
fcis-6363	101	12	data	datum	NOUN
fcis-6363	101	13	set	set	VERB
fcis-6363	101	14	and	and	CCONJ
fcis-6363	101	15	the	the	DET
fcis-6363	101	16	influence	influence	NOUN
fcis-6363	101	17	of	of	ADP
fcis-6363	101	18	various	various	ADJ
fcis-6363	101	19	external	external	ADJ
fcis-6363	101	20	factors	factor	NOUN
fcis-6363	101	21	,	,	PUNCT
fcis-6363	101	22	image	image	NOUN
fcis-6363	101	23	processing	processing	NOUN
fcis-6363	101	24	operations	operation	NOUN
fcis-6363	101	25	such	such	ADJ
fcis-6363	101	26	as	as	ADP
fcis-6363	101	27	cropping	crop	VERB
fcis-6363	101	28	,	,	PUNCT
fcis-6363	101	29	horizontal	horizontal	ADJ
fcis-6363	101	30	flipping	flipping	NOUN
fcis-6363	101	31	and	and	CCONJ
fcis-6363	101	32	adding	add	VERB
fcis-6363	101	33	gaussian	gaussian	ADJ
fcis-6363	101	34	noise	noise	NOUN
fcis-6363	101	35	were	be	AUX
fcis-6363	101	36	carried	carry	VERB
fcis-6363	101	37	out	out	ADP
fcis-6363	101	38	.	.	PUNCT
fcis-6363	102	1	the	the	DET
fcis-6363	102	2	data	datum	NOUN
fcis-6363	102	3	set	set	VERB
fcis-6363	102	4	was	be	AUX
fcis-6363	102	5	expanded	expand	VERB
fcis-6363	102	6	to	to	ADP
fcis-6363	102	7	3525	3525	NUM
fcis-6363	102	8	pieces	piece	NOUN
fcis-6363	102	9	to	to	PART
fcis-6363	102	10	improve	improve	VERB
fcis-6363	102	11	the	the	DET
fcis-6363	102	12	data	datum	NOUN
fcis-6363	102	13	diversity	diversity	NOUN
fcis-6363	102	14	,	,	PUNCT
fcis-6363	102	15	and	and	CCONJ
fcis-6363	102	16	the	the	DET
fcis-6363	102	17	annotated	annotate	VERB
fcis-6363	102	18	images	image	NOUN
fcis-6363	102	19	were	be	AUX
fcis-6363	102	20	divided	divide	VERB
fcis-6363	102	21	into	into	ADP
fcis-6363	102	22	training	training	NOUN
fcis-6363	102	23	set	set	NOUN
fcis-6363	102	24	and	and	CCONJ
fcis-6363	102	25	verification	verification	NOUN
fcis-6363	102	26	set	set	NOUN
fcis-6363	102	27	according	accord	VERB
fcis-6363	102	28	to	to	ADP
fcis-6363	102	29	8:2	8:2	NUM
fcis-6363	102	30	.	.	PUNCT
fcis-6363	103	1	4.2	4.2	NUM
fcis-6363	103	2	.	.	PUNCT
fcis-6363	103	3	evaluation	evaluation	NOUN
fcis-6363	103	4	index	index	NOUN
fcis-6363	103	5	the	the	DET
fcis-6363	103	6	object	object	NOUN
fcis-6363	103	7	detection	detection	NOUN
fcis-6363	103	8	task	task	NOUN
fcis-6363	103	9	usually	usually	ADV
fcis-6363	103	10	contains	contain	VERB
fcis-6363	103	11	multiple	multiple	ADJ
fcis-6363	103	12	classes	class	NOUN
fcis-6363	103	13	of	of	ADP
fcis-6363	103	14	object	object	NOUN
fcis-6363	103	15	,	,	PUNCT
fcis-6363	103	16	so	so	CCONJ
fcis-6363	103	17	it	it	PRON
fcis-6363	103	18	is	be	AUX
fcis-6363	103	19	used	use	VERB
fcis-6363	103	20	to	to	PART
fcis-6363	103	21	measure	measure	VERB
fcis-6363	103	22	the	the	DET
fcis-6363	103	23	performance	performance	NOUN
fcis-6363	103	24	of	of	ADP
fcis-6363	103	25	the	the	DET
fcis-6363	103	26	model	model	NOUN
fcis-6363	103	27	in	in	ADP
fcis-6363	103	28	all	all	DET
fcis-6363	103	29	classes	class	NOUN
fcis-6363	103	30	map	map	NOUN
fcis-6363	103	31	(	(	PUNCT
fcis-6363	103	32	mean	mean	VERB
fcis-6363	103	33	average	average	ADJ
fcis-6363	103	34	precision	precision	NOUN
fcis-6363	103	35	)	)	PUNCT
fcis-6363	103	36	indicates	indicate	VERB
fcis-6363	103	37	the	the	DET
fcis-6363	103	38	mean	mean	ADJ
fcis-6363	103	39	average	average	ADJ
fcis-6363	103	40	precision	precision	NOUN
fcis-6363	103	41	of	of	ADP
fcis-6363	103	42	all	all	DET
fcis-6363	103	43	aps	ap	NOUN
fcis-6363	103	44	.	.	PUNCT
fcis-6363	104	1	if	if	SCONJ
fcis-6363	104	2	there	there	PRON
fcis-6363	104	3	is	be	VERB
fcis-6363	104	4	only	only	ADV
fcis-6363	104	5	one	one	NUM
fcis-6363	104	6	detection	detection	NOUN
fcis-6363	104	7	category	category	NOUN
fcis-6363	104	8	,	,	PUNCT
fcis-6363	104	9	the	the	DET
fcis-6363	104	10	map	map	NOUN
fcis-6363	104	11	value	value	NOUN
fcis-6363	104	12	has	have	VERB
fcis-6363	104	13	the	the	DET
fcis-6363	104	14	same	same	ADJ
fcis-6363	104	15	meaning	meaning	NOUN
fcis-6363	104	16	as	as	ADP
fcis-6363	104	17	the	the	DET
fcis-6363	104	18	ap	ap	PROPN
fcis-6363	104	19	value	value	NOUN
fcis-6363	104	20	.	.	PUNCT
fcis-6363	105	1	the	the	DET
fcis-6363	105	2	formula	formula	NOUN
fcis-6363	105	3	for	for	ADP
fcis-6363	105	4	calculating	calculate	VERB
fcis-6363	105	5	map	map	NOUN
fcis-6363	105	6	with	with	ADP
fcis-6363	105	7	n	n	NOUN
fcis-6363	105	8	categories	category	NOUN
fcis-6363	105	9	is	be	AUX
fcis-6363	105	10	as	as	SCONJ
fcis-6363	105	11	follows	follow	VERB
fcis-6363	105	12	:	:	PUNCT
fcis-6363	105	13	4.3	4.3	NUM
fcis-6363	105	14	.	.	PUNCT
fcis-6363	105	15	ablation	ablation	NOUN
fcis-6363	105	16	experiment	experiment	NOUN
fcis-6363	105	17	in	in	ADP
fcis-6363	105	18	order	order	NOUN
fcis-6363	105	19	to	to	PART
fcis-6363	105	20	verify	verify	VERB
fcis-6363	105	21	the	the	DET
fcis-6363	105	22	effectiveness	effectiveness	NOUN
fcis-6363	105	23	of	of	ADP
fcis-6363	105	24	the	the	DET
fcis-6363	105	25	improved	improved	ADJ
fcis-6363	105	26	algorithm	algorithm	NOUN
fcis-6363	105	27	,	,	PUNCT
fcis-6363	105	28	we	we	PRON
fcis-6363	105	29	respectively	respectively	ADV
fcis-6363	105	30	compared	compare	VERB
fcis-6363	105	31	the	the	DET
fcis-6363	105	32	algorithm	algorithm	NOUN
fcis-6363	105	33	accuracy	accuracy	NOUN
fcis-6363	105	34	of	of	ADP
fcis-6363	105	35	faster	fast	ADJ
fcis-6363	105	36	-	-	PUNCT
fcis-6363	105	37	rcnn	rcnn	NOUN
fcis-6363	105	38	,	,	PUNCT
fcis-6363	105	39	the	the	DET
fcis-6363	105	40	method	method	NOUN
fcis-6363	105	41	of	of	ADP
fcis-6363	105	42	replacing	replace	VERB
fcis-6363	105	43	alexnet	alexnet	NOUN
fcis-6363	105	44	with	with	ADP
fcis-6363	105	45	trunk	trunk	NOUN
fcis-6363	105	46	network	network	NOUN
fcis-6363	105	47	hrnet	hrnet	NOUN
fcis-6363	105	48	,	,	PUNCT
fcis-6363	105	49	and	and	CCONJ
fcis-6363	105	50	the	the	DET
fcis-6363	105	51	algorithm	algorithm	NOUN
fcis-6363	105	52	accuracy	accuracy	NOUN
fcis-6363	105	53	after	after	ADP
fcis-6363	105	54	densenet	densenet	NOUN
fcis-6363	105	55	was	be	AUX
fcis-6363	105	56	introduced	introduce	VERB
fcis-6363	105	57	into	into	ADP
fcis-6363	105	58	hrnet	hrnet	NOUN
fcis-6363	105	59	.	.	PUNCT
fcis-6363	106	1	in	in	ADP
fcis-6363	106	2	figure	figure	NOUN
fcis-6363	106	3	5,the	5,the	PRON
fcis-6363	106	4	experimental	experimental	ADJ
fcis-6363	106	5	results	result	NOUN
fcis-6363	106	6	are	be	AUX
fcis-6363	106	7	shown	show	VERB
fcis-6363	106	8	in	in	ADP
fcis-6363	106	9	the	the	DET
fcis-6363	106	10	figure	figure	NOUN
fcis-6363	106	11	.	.	PUNCT
fcis-6363	107	1	according	accord	VERB
fcis-6363	107	2	to	to	ADP
fcis-6363	107	3	the	the	DET
fcis-6363	107	4	results	result	NOUN
fcis-6363	107	5	,	,	PUNCT
fcis-6363	107	6	compared	compare	VERB
fcis-6363	107	7	with	with	ADP
fcis-6363	107	8	the	the	DET
fcis-6363	107	9	original	original	ADJ
fcis-6363	107	10	faster	fast	ADJ
fcis-6363	107	11	-	-	PUNCT
fcis-6363	107	12	rcnn	rcnn	NOUN
fcis-6363	107	13	,	,	PUNCT
fcis-6363	107	14	the	the	DET
fcis-6363	107	15	accuracy	accuracy	NOUN
fcis-6363	107	16	of	of	ADP
fcis-6363	107	17	faster	fast	ADJ
fcis-6363	107	18	-	-	PUNCT
fcis-6363	107	19	rcnn	rcnn	NOUN
fcis-6363	107	20	-	-	PUNCT
fcis-6363	107	21	hrnet	hrnet	NOUN
fcis-6363	107	22	is	be	AUX
fcis-6363	107	23	improved	improve	VERB
fcis-6363	107	24	by	by	ADP
fcis-6363	107	25	4.3	4.3	NUM
fcis-6363	107	26	%	%	NOUN
fcis-6363	107	27	,	,	PUNCT
fcis-6363	107	28	because	because	SCONJ
fcis-6363	107	29	after	after	SCONJ
fcis-6363	107	30	alexnet	alexnet	NOUN
fcis-6363	107	31	is	be	AUX
fcis-6363	107	32	replaced	replace	VERB
fcis-6363	107	33	by	by	ADP
fcis-6363	107	34	hrnet	hrnet	NOUN
fcis-6363	107	35	,	,	PUNCT
fcis-6363	107	36	the	the	DET
fcis-6363	107	37	accuracy	accuracy	NOUN
fcis-6363	107	38	is	be	AUX
fcis-6363	107	39	greatly	greatly	ADV
fcis-6363	107	40	improved	improve	VERB
fcis-6363	107	41	,	,	PUNCT
fcis-6363	107	42	which	which	PRON
fcis-6363	107	43	proves	prove	VERB
fcis-6363	107	44	the	the	DET
fcis-6363	107	45	powerful	powerful	ADJ
fcis-6363	107	46	feature	feature	NOUN
fcis-6363	107	47	extraction	extraction	NOUN
fcis-6363	107	48	ability	ability	NOUN
fcis-6363	107	49	of	of	ADP
fcis-6363	107	50	hrnet	hrnet	NOUN
fcis-6363	107	51	.	.	PUNCT
fcis-6363	108	1	fence	fence	NOUN
fcis-6363	108	2	-	-	PUNCT
fcis-6363	108	3	rcnn	rcnn	PROPN
fcis-6363	108	4	-	-	PUNCT
fcis-6363	108	5	hr	hr	NOUN
fcis-6363	108	6	-	-	PUNCT
fcis-6363	108	7	dense	dense	ADJ
fcis-6363	108	8	-net	-net	NOUN
fcis-6363	108	9	increased	increase	VERB
fcis-6363	108	10	by	by	ADP
fcis-6363	108	11	1.36	1.36	NUM
fcis-6363	108	12	%	%	NOUN
fcis-6363	108	13	compared	compare	VERB
fcis-6363	108	14	with	with	ADP
fcis-6363	108	15	fence	fence	NOUN
fcis-6363	108	16	-	-	PUNCT
fcis-6363	108	17	rcnn	rcnn	NOUN
fcis-6363	108	18	-	-	PUNCT
fcis-6363	108	19	hrnet	hrnet	NOUN
fcis-6363	108	20	,	,	PUNCT
fcis-6363	108	21	which	which	PRON
fcis-6363	108	22	proves	prove	VERB
fcis-6363	108	23	that	that	SCONJ
fcis-6363	108	24	the	the	DET
fcis-6363	108	25	combination	combination	NOUN
fcis-6363	108	26	of	of	ADP
fcis-6363	108	27	hrnet	hrnet	NOUN
fcis-6363	108	28	and	and	CCONJ
fcis-6363	108	29	densenet	densenet	NOUN
fcis-6363	108	30	enhances	enhance	VERB
fcis-6363	108	31	the	the	DET
fcis-6363	108	32	feature	feature	NOUN
fcis-6363	108	33	extraction	extraction	NOUN
fcis-6363	108	34	ability	ability	NOUN
fcis-6363	108	35	of	of	ADP
fcis-6363	108	36	details	detail	NOUN
fcis-6363	108	37	.	.	PUNCT
fcis-6363	109	1	compared	compare	VERB
fcis-6363	109	2	with	with	ADP
fcis-6363	109	3	the	the	DET
fcis-6363	109	4	other	other	ADJ
fcis-6363	109	5	three	three	NUM
fcis-6363	109	6	categories	category	NOUN
fcis-6363	109	7	,	,	PUNCT
fcis-6363	109	8	the	the	DET
fcis-6363	109	9	detection	detection	NOUN
fcis-6363	109	10	accuracy	accuracy	NOUN
fcis-6363	109	11	of	of	ADP
fcis-6363	109	12	aquatic	aquatic	ADJ
fcis-6363	109	13	organisms	organism	NOUN
fcis-6363	109	14	is	be	AUX
fcis-6363	109	15	lower	low	ADJ
fcis-6363	109	16	,	,	PUNCT
fcis-6363	109	17	which	which	PRON
fcis-6363	109	18	may	may	AUX
fcis-6363	109	19	be	be	AUX
fcis-6363	109	20	because	because	SCONJ
fcis-6363	109	21	the	the	DET
fcis-6363	109	22	color	color	NOUN
fcis-6363	109	23	of	of	ADP
fcis-6363	109	24	aquatic	aquatic	ADJ
fcis-6363	109	25	organisms	organism	NOUN
fcis-6363	109	26	is	be	AUX
fcis-6363	109	27	similar	similar	ADJ
fcis-6363	109	28	to	to	ADP
fcis-6363	109	29	that	that	PRON
fcis-6363	109	30	of	of	ADP
fcis-6363	109	31	river	river	NOUN
fcis-6363	109	32	channels	channel	NOUN
fcis-6363	109	33	,	,	PUNCT
fcis-6363	109	34	and	and	CCONJ
fcis-6363	109	35	it	it	PRON
fcis-6363	109	36	is	be	AUX
fcis-6363	109	37	difficult	difficult	ADJ
fcis-6363	109	38	to	to	PART
fcis-6363	109	39	extract	extract	VERB
fcis-6363	109	40	features	feature	NOUN
fcis-6363	109	41	.	.	PUNCT
fcis-6363	110	1	figure	figure	VERB
fcis-6363	110	2	5	5	NUM
fcis-6363	110	3	.	.	PUNCT
fcis-6363	110	4	experimental	experimental	ADJ
fcis-6363	110	5	results	result	NOUN
fcis-6363	110	6	5	5	NUM
fcis-6363	110	7	.	.	PUNCT
fcis-6363	110	8	conclusion	conclusion	NOUN
fcis-6363	110	9	in	in	ADP
fcis-6363	110	10	this	this	DET
fcis-6363	110	11	paper	paper	NOUN
fcis-6363	110	12	,	,	PUNCT
fcis-6363	110	13	an	an	DET
fcis-6363	110	14	improved	improved	ADJ
fcis-6363	110	15	hrnet	hrnet	NOUN
fcis-6363	110	16	algorithm	algorithm	NOUN
fcis-6363	110	17	based	base	VERB
fcis-6363	110	18	on	on	ADP
fcis-6363	110	19	the	the	DET
fcis-6363	110	20	river	river	NOUN
fcis-6363	110	21	floating	float	VERB
fcis-6363	110	22	object	object	NOUN
fcis-6363	110	23	detection	detection	NOUN
fcis-6363	110	24	method	method	NOUN
fcis-6363	110	25	is	be	AUX
fcis-6363	110	26	proposed	propose	VERB
fcis-6363	110	27	.	.	PUNCT
fcis-6363	111	1	in	in	ADP
fcis-6363	111	2	the	the	DET
fcis-6363	111	3	river	river	NOUN
fcis-6363	111	4	floating	float	VERB
fcis-6363	111	5	object	object	NOUN
fcis-6363	111	6	data	datum	NOUN
fcis-6363	111	7	set	set	VERB
fcis-6363	111	8	,	,	PUNCT
fcis-6363	111	9	the	the	DET
fcis-6363	111	10	feasibility	feasibility	NOUN
fcis-6363	111	11	of	of	ADP
fcis-6363	111	12	the	the	DET
fcis-6363	111	13	algorithm	algorithm	NOUN
fcis-6363	111	14	is	be	AUX
fcis-6363	111	15	verified	verify	VERB
fcis-6363	111	16	by	by	ADP
fcis-6363	111	17	ablation	ablation	NOUN
fcis-6363	111	18	,	,	PUNCT
fcis-6363	111	19	which	which	PRON
fcis-6363	111	20	can	can	AUX
fcis-6363	111	21	accurately	accurately	ADV
fcis-6363	111	22	identify	identify	VERB
fcis-6363	111	23	and	and	CCONJ
fcis-6363	111	24	locate	locate	VERB
fcis-6363	111	25	river	river	NOUN
fcis-6363	111	26	floating	float	VERB
fcis-6363	111	27	objects	object	NOUN
fcis-6363	111	28	,	,	PUNCT
fcis-6363	111	29	greatly	greatly	ADV
fcis-6363	111	30	reduce	reduce	VERB
fcis-6363	111	31	the	the	DET
fcis-6363	111	32	manual	manual	ADJ
fcis-6363	111	33	workload	workload	NOUN
fcis-6363	111	34	,	,	PUNCT
fcis-6363	111	35	and	and	CCONJ
fcis-6363	111	36	is	be	AUX
fcis-6363	111	37	conducive	conducive	ADJ
fcis-6363	111	38	to	to	ADP
fcis-6363	111	39	the	the	DET
fcis-6363	111	40	optimization	optimization	NOUN
fcis-6363	111	41	of	of	ADP
fcis-6363	111	42	ecological	ecological	ADJ
fcis-6363	111	43	environment	environment	NOUN
fcis-6363	111	44	.	.	PUNCT
fcis-6363	112	1	this	this	DET
fcis-6363	112	2	algorithm	algorithm	NOUN
fcis-6363	112	3	can	can	AUX
fcis-6363	112	4	be	be	AUX
fcis-6363	112	5	applied	apply	VERB
fcis-6363	112	6	not	not	PART
fcis-6363	112	7	only	only	ADV
fcis-6363	112	8	to	to	ADP
fcis-6363	112	9	the	the	DET
fcis-6363	112	10	detection	detection	NOUN
fcis-6363	112	11	of	of	ADP
fcis-6363	112	12	floating	float	VERB
fcis-6363	112	13	objects	object	NOUN
fcis-6363	112	14	in	in	ADP
fcis-6363	112	15	river	river	NOUN
fcis-6363	112	16	course	course	NOUN
fcis-6363	112	17	,	,	PUNCT
fcis-6363	112	18	but	but	CCONJ
fcis-6363	112	19	also	also	ADV
fcis-6363	112	20	to	to	ADP
fcis-6363	112	21	the	the	DET
fcis-6363	112	22	detection	detection	NOUN
fcis-6363	112	23	of	of	ADP
fcis-6363	112	24	similar	similar	ADJ
fcis-6363	112	25	objects	object	NOUN
fcis-6363	112	26	.	.	PUNCT
fcis-6363	113	1	acknowledgments	acknowledgment	NOUN
fcis-6363	113	2	this	this	DET
fcis-6363	113	3	project	project	NOUN
fcis-6363	113	4	is	be	AUX
fcis-6363	113	5	supported	support	VERB
fcis-6363	113	6	by	by	ADP
fcis-6363	113	7	the	the	DET
fcis-6363	113	8	graduate	graduate	PROPN
fcis-6363	113	9	innovative	innovative	ADJ
fcis-6363	113	10	research	research	NOUN
fcis-6363	113	11	project	project	NOUN
fcis-6363	113	12	of	of	ADP
fcis-6363	113	13	southwest	southwest	PROPN
fcis-6363	113	14	university	university	PROPN
fcis-6363	113	15	for	for	ADP
fcis-6363	113	16	nationalities	nationality	NOUN
fcis-6363	113	17	(	(	PUNCT
fcis-6363	113	18	project	project	NOUN
fcis-6363	113	19	no	no	INTJ
fcis-6363	113	20	.	.	PUNCT
fcis-6363	114	1	yb2022400	yb2022400	NOUN
fcis-6363	114	2	)	)	PUNCT
fcis-6363	115	1	176	176	NUM
fcis-6363	115	2	references	reference	NOUN
fcis-6363	115	3	[	[	X
fcis-6363	115	4	1	1	NUM
fcis-6363	115	5	]	]	X
fcis-6363	115	6	sun	sun	PROPN
fcis-6363	115	7	k	k	PROPN
fcis-6363	115	8	,	,	PUNCT
fcis-6363	115	9	xiao	xiao	PROPN
fcis-6363	115	10	b	b	PROPN
fcis-6363	115	11	,	,	PUNCT
fcis-6363	115	12	liu	liu	PROPN
fcis-6363	115	13	d	d	PROPN
fcis-6363	115	14	,	,	PUNCT
fcis-6363	115	15	et	et	PROPN
fcis-6363	115	16	al	al	PROPN
fcis-6363	115	17	.	.	PUNCT
fcis-6363	116	1	deep	deep	ADJ
fcis-6363	116	2	high	high	ADJ
fcis-6363	116	3	-	-	PUNCT
fcis-6363	116	4	resolution	resolution	NOUN
fcis-6363	116	5	representation	representation	NOUN
fcis-6363	116	6	learning	learning	NOUN
fcis-6363	116	7	for	for	ADP
fcis-6363	116	8	human	human	ADJ
fcis-6363	116	9	pose	pose	NOUN
fcis-6363	116	10	estimation	estimation	NOUN
fcis-6363	116	11	[	[	X
fcis-6363	116	12	c	c	X
fcis-6363	116	13	]	]	X
fcis-6363	116	14	//	//	NUM
fcis-6363	116	15	proceedings	proceeding	NOUN
fcis-6363	116	16	of	of	ADP
fcis-6363	116	17	the	the	DET
fcis-6363	116	18	ieee	ieee	NOUN
fcis-6363	116	19	/	/	SYM
fcis-6363	116	20	cvf	cvf	NOUN
fcis-6363	116	21	conference	conference	NOUN
fcis-6363	116	22	on	on	ADP
fcis-6363	116	23	computer	computer	NOUN
fcis-6363	116	24	vision	vision	NOUN
fcis-6363	116	25	and	and	CCONJ
fcis-6363	116	26	pattern	pattern	NOUN
fcis-6363	116	27	recognition	recognition	NOUN
fcis-6363	116	28	.	.	PUNCT
fcis-6363	117	1	2019	2019	NUM
fcis-6363	117	2	:	:	PUNCT
fcis-6363	117	3	5693	5693	NUM
fcis-6363	117	4	-	-	SYM
fcis-6363	117	5	5703	5703	NUM
fcis-6363	117	6	.	.	PUNCT
fcis-6363	118	1	[	[	X
fcis-6363	118	2	2	2	X
fcis-6363	118	3	]	]	X
fcis-6363	118	4	ren	ren	PROPN
fcis-6363	118	5	s	s	PROPN
fcis-6363	118	6	,	,	PUNCT
fcis-6363	118	7	he	he	PRON
fcis-6363	118	8	k	k	NOUN
fcis-6363	118	9	,	,	PUNCT
fcis-6363	118	10	girshick	girshick	ADJ
fcis-6363	118	11	r	r	NOUN
fcis-6363	118	12	,	,	PUNCT
fcis-6363	118	13	et	et	PROPN
fcis-6363	118	14	al	al	PROPN
fcis-6363	118	15	.	.	PUNCT
fcis-6363	119	1	faster	fast	ADJ
fcis-6363	119	2	r	r	NOUN
fcis-6363	119	3	-	-	PUNCT
fcis-6363	119	4	cnn	cnn	NOUN
fcis-6363	119	5	:	:	PUNCT
fcis-6363	119	6	towards	towards	ADP
fcis-6363	119	7	real	real	ADJ
fcis-6363	119	8	-	-	PUNCT
fcis-6363	119	9	time	time	NOUN
fcis-6363	119	10	object	object	NOUN
fcis-6363	119	11	detection	detection	NOUN
fcis-6363	119	12	with	with	ADP
fcis-6363	119	13	region	region	NOUN
fcis-6363	119	14	proposal	proposal	NOUN
fcis-6363	119	15	networks	network	NOUN
fcis-6363	120	1	[	[	X
fcis-6363	120	2	j	j	X
fcis-6363	120	3	]	]	X
fcis-6363	120	4	.	.	PUNCT
fcis-6363	121	1	advances	advance	NOUN
fcis-6363	121	2	in	in	ADP
fcis-6363	121	3	neural	neural	ADJ
fcis-6363	121	4	information	information	NOUN
fcis-6363	121	5	processing	processing	NOUN
fcis-6363	121	6	systems	system	NOUN
fcis-6363	121	7	,	,	PUNCT
fcis-6363	121	8	2015	2015	NUM
fcis-6363	121	9	,	,	PUNCT
fcis-6363	121	10	28	28	NUM
fcis-6363	121	11	.	.	PUNCT
fcis-6363	122	1	[	[	X
fcis-6363	122	2	3	3	X
fcis-6363	122	3	]	]	PUNCT
fcis-6363	122	4	iandola	iandola	PROPN
fcis-6363	122	5	f	f	PROPN
fcis-6363	122	6	n	n	PROPN
fcis-6363	122	7	,	,	PUNCT
fcis-6363	122	8	han	han	PROPN
fcis-6363	122	9	s	s	PROPN
fcis-6363	122	10	,	,	PUNCT
fcis-6363	122	11	moskewicz	moskewicz	PROPN
fcis-6363	122	12	m	m	PROPN
fcis-6363	122	13	w	w	PROPN
fcis-6363	122	14	,	,	PUNCT
fcis-6363	122	15	et	et	PROPN
fcis-6363	122	16	al	al	PROPN
fcis-6363	122	17	.	.	PUNCT
fcis-6363	122	18	squeezenet	squeezenet	NOUN
fcis-6363	122	19	:	:	PUNCT
fcis-6363	122	20	alexnet	alexnet	ADJ
fcis-6363	122	21	-	-	PUNCT
fcis-6363	122	22	level	level	NOUN
fcis-6363	122	23	accuracy	accuracy	NOUN
fcis-6363	122	24	with	with	ADP
fcis-6363	122	25	50x	50x	NUM
fcis-6363	122	26	fewer	few	ADJ
fcis-6363	122	27	parameters	parameter	NOUN
fcis-6363	122	28	and	and	CCONJ
fcis-6363	122	29	<	<	X
fcis-6363	122	30	0.5	0.5	NUM
fcis-6363	122	31	mb	mb	ADJ
fcis-6363	122	32	model	model	NOUN
fcis-6363	122	33	size	size	NOUN
fcis-6363	123	1	[	[	X
fcis-6363	123	2	j	j	X
fcis-6363	123	3	]	]	X
fcis-6363	123	4	.	.	PUNCT
fcis-6363	124	1	arxiv	arxiv	PROPN
fcis-6363	124	2	preprint	preprint	PROPN
fcis-6363	124	3	arxiv:1602.07360	arxiv:1602.07360	NOUN
fcis-6363	124	4	,	,	PUNCT
fcis-6363	124	5	2016	2016	NUM
fcis-6363	124	6	.	.	PUNCT
fcis-6363	125	1	[	[	X
fcis-6363	125	2	4	4	NUM
fcis-6363	125	3	]	]	PUNCT
fcis-6363	125	4	zhu	zhu	PROPN
fcis-6363	125	5	y	y	PROPN
fcis-6363	125	6	,	,	PUNCT
fcis-6363	125	7	newsam	newsam	PROPN
fcis-6363	125	8	s.	s.	PROPN
fcis-6363	125	9	densenet	densenet	PROPN
fcis-6363	125	10	for	for	ADP
fcis-6363	125	11	dense	dense	ADJ
fcis-6363	125	12	flow[c]//2017	flow[c]//2017	PUNCT
fcis-6363	125	13	ieee	ieee	PROPN
fcis-6363	125	14	international	international	ADJ
fcis-6363	125	15	conference	conference	NOUN
fcis-6363	125	16	on	on	ADP
fcis-6363	125	17	image	image	NOUN
fcis-6363	125	18	processing	processing	NOUN
fcis-6363	125	19	(	(	PUNCT
fcis-6363	125	20	icip	icip	PROPN
fcis-6363	125	21	)	)	PUNCT
fcis-6363	125	22	.	.	PUNCT
fcis-6363	126	1	ieee	ieee	PROPN
fcis-6363	126	2	,	,	PUNCT
fcis-6363	126	3	2017	2017	NUM
fcis-6363	126	4	:	:	PUNCT
fcis-6363	126	5	790	790	NUM
fcis-6363	126	6	-	-	SYM
fcis-6363	126	7	794	794	NUM
fcis-6363	126	8	.	.	PUNCT
fcis-6363	127	1	[	[	X
fcis-6363	127	2	5	5	X
fcis-6363	127	3	]	]	PUNCT
fcis-6363	127	4	zuo	zuo	PROPN
fcis-6363	127	5	jianjun	jianjun	PROPN
fcis-6363	127	6	,	,	PUNCT
fcis-6363	127	7	wu	wu	PROPN
fcis-6363	127	8	youfu	youfu	PROPN
fcis-6363	127	9	.	.	PUNCT
fcis-6363	128	1	intelligent	intelligent	ADJ
fcis-6363	128	2	monitoring	monitoring	NOUN
fcis-6363	128	3	technology	technology	NOUN
fcis-6363	128	4	of	of	ADP
fcis-6363	128	5	floating	float	VERB
fcis-6363	128	6	objects	object	NOUN
fcis-6363	128	7	on	on	ADP
fcis-6363	128	8	the	the	DET
fcis-6363	128	9	water	water	NOUN
fcis-6363	128	10	surface	surface	NOUN
fcis-6363	129	1	[	[	X
fcis-6363	129	2	j	j	X
fcis-6363	129	3	]	]	X
fcis-6363	129	4	.	.	PUNCT
fcis-6363	129	5	software	software	NOUN
fcis-6363	129	6	guide	guide	NOUN
fcis-6363	129	7	,	,	PUNCT
fcis-6363	129	8	2013	2013	NUM
fcis-6363	129	9	,	,	PUNCT
fcis-6363	129	10	20(4	20(4	NOUN
fcis-6363	129	11	):	):	PUNCT
fcis-6363	129	12	150	150	NUM
fcis-6363	129	13	-	-	SYM
fcis-6363	129	14	152	152	NUM
fcis-6363	129	15	.	.	PUNCT
fcis-6363	130	1	[	[	X
fcis-6363	130	2	6	6	NUM
fcis-6363	130	3	]	]	X
fcis-6363	130	4	zhu	zhu	PROPN
fcis-6363	130	5	dian	dian	PROPN
fcis-6363	130	6	,	,	PUNCT
fcis-6363	130	7	liao	liao	PROPN
fcis-6363	130	8	min	min	PROPN
fcis-6363	130	9	,	,	PUNCT
fcis-6363	130	10	liu	liu	PROPN
fcis-6363	130	11	xinshun	xinshun	PROPN
fcis-6363	130	12	,	,	PUNCT
fcis-6363	130	13	et	et	PROPN
fcis-6363	130	14	al	al	PROPN
fcis-6363	130	15	.	.	PUNCT
fcis-6363	131	1	a	a	DET
fcis-6363	131	2	novel	novel	ADJ
fcis-6363	131	3	floating	float	VERB
fcis-6363	131	4	debris	debris	NOUN
fcis-6363	131	5	collection	collection	NOUN
fcis-6363	131	6	and	and	CCONJ
fcis-6363	131	7	monitoring	monitoring	NOUN
fcis-6363	131	8	system	system	NOUN
fcis-6363	131	9	in	in	ADP
fcis-6363	131	10	waters[j	waters[j	PROPN
fcis-6363	131	11	]	]	PUNCT
fcis-6363	131	12	.	.	PUNCT
fcis-6363	132	1	modern	modern	ADJ
fcis-6363	132	2	electronics	electronic	NOUN
fcis-6363	132	3	technology	technology	NOUN
fcis-6363	132	4	,	,	PUNCT
fcis-6363	132	5	2019	2019	NUM
fcis-6363	132	6	,	,	PUNCT
fcis-6363	132	7	42(5	42(5	NUM
fcis-6363	132	8	):	):	PUNCT
fcis-6363	132	9	27	27	NUM
fcis-6363	132	10	-	-	SYM
fcis-6363	132	11	31	31	NUM
fcis-6363	132	12	.	.	PUNCT
fcis-6363	133	1	[	[	X
fcis-6363	133	2	7	7	X
fcis-6363	133	3	]	]	PUNCT
fcis-6363	133	4	zhu	zhu	X
fcis-6363	133	5	he	he	PRON
fcis-6363	133	6	,	,	PUNCT
fcis-6363	133	7	li	li	PROPN
fcis-6363	133	8	chenming	chenming	PROPN
fcis-6363	133	9	,	,	PUNCT
fcis-6363	133	10	zhang	zhang	PROPN
fcis-6363	133	11	lili	lili	PROPN
fcis-6363	133	12	,	,	PUNCT
fcis-6363	133	13	et	et	PROPN
fcis-6363	133	14	al	al	PROPN
fcis-6363	133	15	.	.	PROPN
fcis-6363	133	16	river	river	PROPN
fcis-6363	133	17	channel	channel	NOUN
fcis-6363	133	18	extraction	extraction	NOUN
fcis-6363	133	19	combined	combine	VERB
fcis-6363	133	20	with	with	ADP
fcis-6363	133	21	grayscale	grayscale	NOUN
fcis-6363	133	22	threshold	threshold	NOUN
fcis-6363	133	23	segmentation	segmentation	NOUN
fcis-6363	133	24	and	and	CCONJ
fcis-6363	133	25	contour	contour	NOUN
fcis-6363	133	26	morphology	morphology	NOUN
fcis-6363	133	27	recognition[j	recognition[j	PROPN
fcis-6363	133	28	]	]	PUNCT
fcis-6363	133	29	.	.	PUNCT
fcis-6363	134	1	journal	journal	PROPN
fcis-6363	134	2	of	of	ADP
fcis-6363	134	3	electronic	electronic	ADJ
fcis-6363	134	4	measurement	measurement	NOUN
fcis-6363	134	5	and	and	CCONJ
fcis-6363	134	6	instrumentation	instrumentation	NOUN
fcis-6363	134	7	,	,	PUNCT
fcis-6363	134	8	2014	2014	NUM
fcis-6363	134	9	,	,	PUNCT
fcis-6363	134	10	28(11	28(11	NUM
fcis-6363	134	11	):	):	PUNCT
fcis-6363	134	12	1288	1288	NUM
fcis-6363	134	13	-	-	SYM
fcis-6363	134	14	1296	1296	NUM
fcis-6363	134	15	.	.	PUNCT
fcis-6363	135	1	[	[	X
fcis-6363	135	2	8	8	NUM
fcis-6363	135	3	]	]	X
fcis-6363	135	4	li	li	PROPN
fcis-6363	135	5	ning	ning	PROPN
fcis-6363	135	6	,	,	PUNCT
fcis-6363	135	7	wang	wang	PROPN
fcis-6363	135	8	yuxuan	yuxuan	PROPN
fcis-6363	135	9	,	,	PUNCT
fcis-6363	135	10	xu	xu	PROPN
fcis-6363	135	11	shoukun	shoukun	PROPN
fcis-6363	135	12	,	,	PUNCT
fcis-6363	135	13	et	et	PROPN
fcis-6363	135	14	al	al	PROPN
fcis-6363	135	15	.	.	PUNCT
fcis-6363	136	1	identification	identification	NOUN
fcis-6363	136	2	of	of	ADP
fcis-6363	136	3	small	small	ADJ
fcis-6363	136	4	sample	sample	NOUN
fcis-6363	136	5	floating	float	VERB
fcis-6363	136	6	objects	object	NOUN
fcis-6363	136	7	based	base	VERB
fcis-6363	136	8	on	on	ADP
fcis-6363	136	9	alexnet[j	alexnet[j	PRON
fcis-6363	136	10	]	]	PUNCT
fcis-6363	136	11	.	.	PUNCT
fcis-6363	137	1	computer	computer	NOUN
fcis-6363	137	2	applications	application	NOUN
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fcis-6363	137	4	software	software	NOUN
fcis-6363	137	5	,	,	PUNCT
fcis-6363	137	6	2019	2019	NUM
fcis-6363	137	7	,	,	PUNCT
fcis-6363	137	8	36(2	36(2	NUM
fcis-6363	137	9	):	):	PUNCT
fcis-6363	137	10	245	245	NUM
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fcis-6363	137	12	251	251	NUM
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fcis-6363	138	3	]	]	X
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fcis-6363	139	2	on	on	ADP
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fcis-6363	139	4	recognition	recognition	NOUN
fcis-6363	139	5	technology	technology	NOUN
fcis-6363	139	6	of	of	ADP
fcis-6363	139	7	floating	float	VERB
fcis-6363	139	8	objects	object	NOUN
fcis-6363	139	9	on	on	ADP
fcis-6363	139	10	water	water	NOUN
fcis-6363	139	11	surface	surface	NOUN
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fcis-6363	139	13	on	on	ADP
fcis-6363	139	14	rcnn	rcnn	PROPN
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fcis-6363	139	16	method[j	method[j	PROPN
fcis-6363	139	17	]	]	PUNCT
fcis-6363	139	18	.	.	PUNCT
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fcis-6363	140	2	technology	technology	NOUN
fcis-6363	140	3	research	research	NOUN
fcis-6363	140	4	and	and	CCONJ
fcis-6363	140	5	application	application	NOUN
fcis-6363	140	6	,	,	PUNCT
fcis-6363	140	7	2019(suppl	2019(suppl	NOUN
fcis-6363	140	8	1	1	NUM
fcis-6363	140	9	):	):	PUNCT
fcis-6363	140	10	18	18	NUM
fcis-6363	140	11	-	-	SYM
fcis-6363	140	12	21	21	NUM
fcis-6363	140	13	.	.	PUNCT
fcis-6363	141	1	[	[	X
fcis-6363	141	2	10	10	NUM
fcis-6363	141	3	]	]	X
fcis-6363	141	4	deng	deng	PROPN
fcis-6363	141	5	lei	lei	PROPN
fcis-6363	141	6	,	,	PUNCT
fcis-6363	141	7	yan	yan	PROPN
fcis-6363	141	8	lifu	lifu	PROPN
fcis-6363	141	9	,	,	PUNCT
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fcis-6363	142	2	identification	identification	NOUN
fcis-6363	142	3	and	and	CCONJ
fcis-6363	142	4	decision	decision	NOUN
fcis-6363	142	5	system	system	NOUN
fcis-6363	142	6	for	for	ADP
fcis-6363	142	7	water	water	NOUN
fcis-6363	142	8	surface	surface	NOUN
fcis-6363	142	9	floating	float	VERB
fcis-6363	142	10	objects	object	NOUN
fcis-6363	142	11	based	base	VERB
fcis-6363	142	12	on	on	ADP
fcis-6363	142	13	machine	machine	NOUN
fcis-6363	142	14	vision	vision	NOUN
fcis-6363	143	1	[	[	X
fcis-6363	143	2	j	j	X
fcis-6363	143	3	]	]	X
fcis-6363	143	4	.	.	PUNCT
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fcis-6363	144	2	testing	testing	NOUN
fcis-6363	144	3	,	,	PUNCT
fcis-6363	144	4	2019(17	2019(17	NUM
fcis-6363	144	5	)	)	PUNCT
fcis-6363	144	6	:	:	PUNCT
fcis-6363	144	7	133	133	NUM
fcis-6363	144	8	-	-	SYM
fcis-6363	144	9	134	134	NUM
fcis-6363	144	10	.	.	PUNCT
fcis-6363	145	1	[	[	X
fcis-6363	145	2	11	11	NUM
fcis-6363	145	3	]	]	X
fcis-6363	145	4	lei	lei	PROPN
fcis-6363	145	5	liyi	liyi	PROPN
fcis-6363	145	6	,	,	PUNCT
fcis-6363	145	7	aii	aii	PROPN
fcis-6363	145	8	jiaoyan	jiaoyan	PROPN
fcis-6363	145	9	,	,	PUNCT
fcis-6363	145	10	peng	peng	PROPN
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fcis-6363	145	12	,	,	PUNCT
fcis-6363	145	13	et	et	PROPN
fcis-6363	145	14	al	al	PROPN
fcis-6363	145	15	.	.	PROPN
fcis-6363	145	16	target	target	NOUN
fcis-6363	145	17	detection	detection	NOUN
fcis-6363	145	18	and	and	CCONJ
fcis-6363	145	19	evaluation	evaluation	NOUN
fcis-6363	145	20	of	of	ADP
fcis-6363	145	21	floating	float	VERB
fcis-6363	145	22	debris	debris	NOUN
fcis-6363	145	23	based	base	VERB
fcis-6363	145	24	on	on	ADP
fcis-6363	145	25	deep	deep	ADJ
fcis-6363	145	26	learning[j	learning[j	NOUN
fcis-6363	145	27	]	]	PUNCT
fcis-6363	145	28	.	.	PUNCT
fcis-6363	146	1	environment	environment	NOUN
fcis-6363	146	2	and	and	CCONJ
fcis-6363	146	3	development	development	NOUN
fcis-6363	146	4	,	,	PUNCT
fcis-6363	146	5	2019	2019	NUM
fcis-6363	146	6	,	,	PUNCT
fcis-6363	146	7	31(6	31(6	NUM
fcis-6363	146	8	):	):	PUNCT
fcis-6363	146	9	117	117	NUM
fcis-6363	146	10	-	-	SYM
fcis-6363	146	11	120.v	120.v	NUM
fcis-6363	147	1	[	[	X
fcis-6363	147	2	12	12	NUM
fcis-6363	147	3	]	]	X
fcis-6363	147	4	zhang	zhang	PROPN
fcis-6363	147	5	l	l	PROPN
fcis-6363	147	6	,	,	PUNCT
fcis-6363	147	7	zhang	zhang	PROPN
fcis-6363	147	8	y	y	PROPN
fcis-6363	147	9	,	,	PUNCT
fcis-6363	147	10	zhang	zhang	PROPN
fcis-6363	147	11	z	z	PROPN
fcis-6363	147	12	,	,	PUNCT
fcis-6363	147	13	et	et	PROPN
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fcis-6363	148	2	-	-	PUNCT
fcis-6363	148	3	time	time	NOUN
fcis-6363	148	4	water	water	NOUN
fcis-6363	148	5	surface	surface	NOUN
fcis-6363	148	6	object	object	NOUN
fcis-6363	148	7	detection	detection	NOUN
fcis-6363	148	8	based	base	VERB
fcis-6363	148	9	on	on	ADP
fcis-6363	148	10	improved	improved	ADJ
fcis-6363	148	11	faster	fast	ADV
fcis-6363	148	12	r	r	NOUN
fcis-6363	148	13	-	-	PUNCT
fcis-6363	148	14	cnn[j	cnn[j	NOUN
fcis-6363	148	15	]	]	PUNCT
fcis-6363	148	16	.	.	PUNCT
fcis-6363	149	1	sensors	sensor	NOUN
fcis-6363	149	2	,	,	PUNCT
fcis-6363	149	3	2019	2019	NUM
fcis-6363	149	4	,	,	PUNCT
fcis-6363	149	5	19(16	19(16	NUM
fcis-6363	149	6	):	):	PUNCT
fcis-6363	149	7	3523	3523	NUM
fcis-6363	149	8	.	.	PUNCT