id	sid	tid	token	lemma	pos
ajst-30546	1	1	academic	academic	ADJ
ajst-30546	1	2	journal	journal	NOUN
ajst-30546	1	3	of	of	ADP
ajst-30546	1	4	science	science	NOUN
ajst-30546	1	5	and	and	CCONJ
ajst-30546	1	6	technology	technology	NOUN
ajst-30546	1	7	issn	issn	NOUN
ajst-30546	1	8	:	:	PUNCT
ajst-30546	1	9	2771	2771	NUM
ajst-30546	1	10	-	-	SYM
ajst-30546	1	11	3032	3032	NUM
ajst-30546	1	12	|	|	NOUN
ajst-30546	1	13	vol	vol	NOUN
ajst-30546	1	14	.	.	PROPN
ajst-30546	1	15	15	15	NUM
ajst-30546	1	16	,	,	PUNCT
ajst-30546	1	17	no	no	INTJ
ajst-30546	1	18	.	.	NOUN
ajst-30546	1	19	1	1	NUM
ajst-30546	1	20	,	,	PUNCT
ajst-30546	1	21	2025	2025	NUM
ajst-30546	1	22	185	185	NUM
ajst-30546	1	23	research	research	NOUN
ajst-30546	1	24	on	on	ADP
ajst-30546	1	25	multi	multi	ADJ
ajst-30546	1	26	object	object	NOUN
ajst-30546	1	27	detection	detection	NOUN
ajst-30546	1	28	in	in	ADP
ajst-30546	1	29	foggy	foggy	ADJ
ajst-30546	1	30	sky	sky	NOUN
ajst-30546	1	31	based	base	VERB
ajst-30546	1	32	on	on	ADP
ajst-30546	1	33	fog	fog	PROPN
ajst-30546	1	34	mod	mod	PROPN
ajst-30546	1	35	yolov8n	yolov8n	PROPN
ajst-30546	1	36	jiangfeng	jiangfeng	PROPN
ajst-30546	1	37	sun1	sun1	PROPN
ajst-30546	1	38	,	,	PUNCT
ajst-30546	1	39	a	a	PRON
ajst-30546	1	40	,	,	PUNCT
ajst-30546	1	41	*	*	ADJ
ajst-30546	1	42	,	,	PUNCT
ajst-30546	1	43	xilong	xilong	PROPN
ajst-30546	1	44	zhang1	zhang1	PROPN
ajst-30546	1	45	,	,	PUNCT
ajst-30546	1	46	b	b	PROPN
ajst-30546	1	47	,	,	PUNCT
ajst-30546	1	48	yanyang	yanyang	PROPN
ajst-30546	1	49	zeng1	zeng1	PROPN
ajst-30546	1	50	,	,	PUNCT
ajst-30546	1	51	c	c	PROPN
ajst-30546	1	52	1henan	1henan	NUM
ajst-30546	1	53	polytechnic	polytechnic	ADJ
ajst-30546	1	54	university	university	NOUN
ajst-30546	1	55	,	,	PUNCT
ajst-30546	1	56	college	college	NOUN
ajst-30546	1	57	of	of	ADP
ajst-30546	1	58	computer	computer	NOUN
ajst-30546	1	59	science	science	NOUN
ajst-30546	1	60	and	and	CCONJ
ajst-30546	1	61	technology	technology	NOUN
ajst-30546	1	62	,	,	PUNCT
ajst-30546	1	63	jiaozuo	jiaozuo	PROPN
ajst-30546	1	64	454000	454000	NUM
ajst-30546	1	65	,	,	PUNCT
ajst-30546	1	66	china	china	PROPN
ajst-30546	1	67	acorresponding	acorresponding	NOUN
ajst-30546	1	68	author:sunjiangfeng@hpu.edu.cn	author:sunjiangfeng@hpu.edu.cn	NOUN
ajst-30546	1	69	,	,	PUNCT
ajst-30546	1	70	b	b	PROPN
ajst-30546	1	71	2069065992@qq.com	2069065992@qq.com	NUM
ajst-30546	1	72	,	,	PUNCT
ajst-30546	1	73	c	c	PROPN
ajst-30546	1	74	zengyy@hpu.edu.cn	zengyy@hpu.edu.cn	PROPN
ajst-30546	1	75	abstract	abstract	NOUN
ajst-30546	1	76	:	:	PUNCT
ajst-30546	1	77	with	with	ADP
ajst-30546	1	78	the	the	DET
ajst-30546	1	79	rapid	rapid	ADJ
ajst-30546	1	80	development	development	NOUN
ajst-30546	1	81	of	of	ADP
ajst-30546	1	82	smart	smart	ADJ
ajst-30546	1	83	cities	city	NOUN
ajst-30546	1	84	and	and	CCONJ
ajst-30546	1	85	intelligent	intelligent	ADJ
ajst-30546	1	86	transportation	transportation	NOUN
ajst-30546	1	87	,	,	PUNCT
ajst-30546	1	88	the	the	DET
ajst-30546	1	89	level	level	NOUN
ajst-30546	1	90	of	of	ADP
ajst-30546	1	91	informatization	informatization	NOUN
ajst-30546	1	92	and	and	CCONJ
ajst-30546	1	93	intelligence	intelligence	NOUN
ajst-30546	1	94	in	in	ADP
ajst-30546	1	95	traffic	traffic	NOUN
ajst-30546	1	96	systems	system	NOUN
ajst-30546	1	97	is	be	AUX
ajst-30546	1	98	continuously	continuously	ADV
ajst-30546	1	99	improving	improve	VERB
ajst-30546	1	100	.	.	PUNCT
ajst-30546	2	1	studies	study	NOUN
ajst-30546	2	2	have	have	AUX
ajst-30546	2	3	shown	show	VERB
ajst-30546	2	4	that	that	SCONJ
ajst-30546	2	5	the	the	DET
ajst-30546	2	6	accident	accident	NOUN
ajst-30546	2	7	rate	rate	NOUN
ajst-30546	2	8	in	in	ADP
ajst-30546	2	9	foggy	foggy	ADJ
ajst-30546	2	10	conditions	condition	NOUN
ajst-30546	2	11	is	be	AUX
ajst-30546	2	12	more	more	ADJ
ajst-30546	2	13	than	than	ADP
ajst-30546	2	14	30	30	NUM
ajst-30546	2	15	%	%	NOUN
ajst-30546	2	16	higher	high	ADJ
ajst-30546	2	17	than	than	ADP
ajst-30546	2	18	under	under	ADP
ajst-30546	2	19	normal	normal	ADJ
ajst-30546	2	20	weather	weather	NOUN
ajst-30546	2	21	.	.	PUNCT
ajst-30546	3	1	fog	fog	NOUN
ajst-30546	3	2	significantly	significantly	ADV
ajst-30546	3	3	affects	affect	VERB
ajst-30546	3	4	drivers	driver	NOUN
ajst-30546	3	5	'	'	PART
ajst-30546	3	6	visibility	visibility	NOUN
ajst-30546	3	7	,	,	PUNCT
ajst-30546	3	8	reducing	reduce	VERB
ajst-30546	3	9	safety	safety	NOUN
ajst-30546	3	10	and	and	CCONJ
ajst-30546	3	11	increasing	increase	VERB
ajst-30546	3	12	driving	drive	VERB
ajst-30546	3	13	risks	risk	NOUN
ajst-30546	3	14	.	.	PUNCT
ajst-30546	4	1	to	to	PART
ajst-30546	4	2	address	address	VERB
ajst-30546	4	3	this	this	DET
ajst-30546	4	4	issue	issue	NOUN
ajst-30546	4	5	,	,	PUNCT
ajst-30546	4	6	this	this	DET
ajst-30546	4	7	paper	paper	NOUN
ajst-30546	4	8	proposes	propose	VERB
ajst-30546	4	9	an	an	DET
ajst-30546	4	10	improved	improved	ADJ
ajst-30546	4	11	transformer	transformer	NOUN
ajst-30546	4	12	-	-	PUNCT
ajst-30546	4	13	based	base	VERB
ajst-30546	4	14	model	model	NOUN
ajst-30546	4	15	,	,	PUNCT
ajst-30546	4	16	retinexformer	retinexformer	NOUN
ajst-30546	4	17	,	,	PUNCT
ajst-30546	4	18	aimed	aim	VERB
ajst-30546	4	19	at	at	ADP
ajst-30546	4	20	enhancing	enhance	VERB
ajst-30546	4	21	multi	multi	ADJ
ajst-30546	4	22	-	-	ADJ
ajst-30546	4	23	object	object	ADJ
ajst-30546	4	24	detection	detection	NOUN
ajst-30546	4	25	performance	performance	NOUN
ajst-30546	4	26	in	in	ADP
ajst-30546	4	27	foggy	foggy	ADJ
ajst-30546	4	28	environments	environment	NOUN
ajst-30546	4	29	.	.	PUNCT
ajst-30546	5	1	first	first	ADV
ajst-30546	5	2	,	,	PUNCT
ajst-30546	5	3	to	to	PART
ajst-30546	5	4	enhance	enhance	VERB
ajst-30546	5	5	the	the	DET
ajst-30546	5	6	model	model	NOUN
ajst-30546	5	7	's	's	PART
ajst-30546	5	8	adaptability	adaptability	NOUN
ajst-30546	5	9	in	in	ADP
ajst-30546	5	10	complex	complex	ADJ
ajst-30546	5	11	environments	environment	NOUN
ajst-30546	5	12	,	,	PUNCT
ajst-30546	5	13	the	the	DET
ajst-30546	5	14	retinexformer	retinexformer	NOUN
ajst-30546	5	15	model	model	NOUN
ajst-30546	5	16	is	be	AUX
ajst-30546	5	17	optimized	optimize	VERB
ajst-30546	5	18	by	by	ADP
ajst-30546	5	19	incorporating	incorporate	VERB
ajst-30546	5	20	a	a	DET
ajst-30546	5	21	multi	multi	ADJ
ajst-30546	5	22	-	-	ADJ
ajst-30546	5	23	branch	branch	ADJ
ajst-30546	5	24	transformer	transformer	NOUN
ajst-30546	5	25	module	module	NOUN
ajst-30546	5	26	.	.	PUNCT
ajst-30546	6	1	this	this	DET
ajst-30546	6	2	module	module	NOUN
ajst-30546	6	3	enables	enable	VERB
ajst-30546	6	4	the	the	DET
ajst-30546	6	5	model	model	NOUN
ajst-30546	6	6	to	to	PART
ajst-30546	6	7	handle	handle	VERB
ajst-30546	6	8	diverse	diverse	ADJ
ajst-30546	6	9	input	input	NOUN
ajst-30546	6	10	conditions	condition	NOUN
ajst-30546	6	11	and	and	CCONJ
ajst-30546	6	12	process	process	NOUN
ajst-30546	6	13	information	information	NOUN
ajst-30546	6	14	from	from	ADP
ajst-30546	6	15	different	different	ADJ
ajst-30546	6	16	types	type	NOUN
ajst-30546	6	17	of	of	ADP
ajst-30546	6	18	scenes	scene	NOUN
ajst-30546	6	19	more	more	ADV
ajst-30546	6	20	effectively	effectively	ADV
ajst-30546	6	21	.	.	PUNCT
ajst-30546	7	1	in	in	ADP
ajst-30546	7	2	addition	addition	NOUN
ajst-30546	7	3	,	,	PUNCT
ajst-30546	7	4	an	an	DET
ajst-30546	7	5	adaptive	adaptive	ADJ
ajst-30546	7	6	parameter	parameter	NOUN
ajst-30546	7	7	estimation	estimation	NOUN
ajst-30546	7	8	module	module	NOUN
ajst-30546	7	9	is	be	AUX
ajst-30546	7	10	designed	design	VERB
ajst-30546	7	11	to	to	PART
ajst-30546	7	12	automatically	automatically	ADV
ajst-30546	7	13	adjust	adjust	VERB
ajst-30546	7	14	dehazing	dehazing	NOUN
ajst-30546	7	15	and	and	CCONJ
ajst-30546	7	16	image	image	NOUN
ajst-30546	7	17	enhancement	enhancement	NOUN
ajst-30546	7	18	strategies	strategy	NOUN
ajst-30546	7	19	based	base	VERB
ajst-30546	7	20	on	on	ADP
ajst-30546	7	21	the	the	DET
ajst-30546	7	22	image	image	NOUN
ajst-30546	7	23	’s	’s	PART
ajst-30546	7	24	brightness	brightness	NOUN
ajst-30546	7	25	and	and	CCONJ
ajst-30546	7	26	contrast	contrast	NOUN
ajst-30546	7	27	.	.	PUNCT
ajst-30546	8	1	by	by	ADP
ajst-30546	8	2	dynamically	dynamically	ADV
ajst-30546	8	3	setting	set	VERB
ajst-30546	8	4	different	different	ADJ
ajst-30546	8	5	dehazing	dehazing	NOUN
ajst-30546	8	6	parameters	parameter	NOUN
ajst-30546	8	7	,	,	PUNCT
ajst-30546	8	8	this	this	DET
ajst-30546	8	9	module	module	NOUN
ajst-30546	8	10	significantly	significantly	ADV
ajst-30546	8	11	improves	improve	VERB
ajst-30546	8	12	the	the	DET
ajst-30546	8	13	robustness	robustness	NOUN
ajst-30546	8	14	of	of	ADP
ajst-30546	8	15	retinexformer	retinexformer	NOUN
ajst-30546	8	16	under	under	ADP
ajst-30546	8	17	varying	vary	VERB
ajst-30546	8	18	foggy	foggy	ADJ
ajst-30546	8	19	conditions.in	conditions.in	PRON
ajst-30546	8	20	the	the	DET
ajst-30546	8	21	model	model	NOUN
ajst-30546	8	22	's	's	PART
ajst-30546	8	23	decoder	decoder	NOUN
ajst-30546	8	24	section	section	NOUN
ajst-30546	8	25	,	,	PUNCT
ajst-30546	8	26	a	a	DET
ajst-30546	8	27	multi	multi	ADJ
ajst-30546	8	28	-	-	ADJ
ajst-30546	8	29	level	level	ADJ
ajst-30546	8	30	feature	feature	NOUN
ajst-30546	8	31	enhancement	enhancement	NOUN
ajst-30546	8	32	module	module	NOUN
ajst-30546	8	33	is	be	AUX
ajst-30546	8	34	introduced	introduce	VERB
ajst-30546	8	35	.	.	PUNCT
ajst-30546	9	1	after	after	ADP
ajst-30546	9	2	the	the	DET
ajst-30546	9	3	igt	igt	PROPN
ajst-30546	9	4	(	(	PUNCT
ajst-30546	9	5	image	image	NOUN
ajst-30546	9	6	gradient	gradient	NOUN
ajst-30546	9	7	transformation	transformation	NOUN
ajst-30546	9	8	)	)	PUNCT
ajst-30546	9	9	output	output	NOUN
ajst-30546	9	10	,	,	PUNCT
ajst-30546	9	11	this	this	DET
ajst-30546	9	12	module	module	NOUN
ajst-30546	9	13	fuses	fuse	VERB
ajst-30546	9	14	multi	multi	ADJ
ajst-30546	9	15	-	-	ADJ
ajst-30546	9	16	scale	scale	ADJ
ajst-30546	9	17	features	feature	NOUN
ajst-30546	9	18	,	,	PUNCT
ajst-30546	9	19	with	with	ADP
ajst-30546	9	20	a	a	DET
ajst-30546	9	21	particular	particular	ADJ
ajst-30546	9	22	focus	focus	NOUN
ajst-30546	9	23	on	on	ADP
ajst-30546	9	24	enhancing	enhance	VERB
ajst-30546	9	25	details	detail	NOUN
ajst-30546	9	26	and	and	CCONJ
ajst-30546	9	27	small	small	ADJ
ajst-30546	9	28	object	object	NOUN
ajst-30546	9	29	detection	detection	NOUN
ajst-30546	9	30	capabilities	capability	NOUN
ajst-30546	9	31	,	,	PUNCT
ajst-30546	9	32	ensuring	ensure	VERB
ajst-30546	9	33	accurate	accurate	ADJ
ajst-30546	9	34	identification	identification	NOUN
ajst-30546	9	35	of	of	ADP
ajst-30546	9	36	targets	target	NOUN
ajst-30546	9	37	such	such	ADJ
ajst-30546	9	38	as	as	ADP
ajst-30546	9	39	pedestrians	pedestrian	NOUN
ajst-30546	9	40	and	and	CCONJ
ajst-30546	9	41	vehicles.the	vehicles.the	DET
ajst-30546	9	42	experimental	experimental	ADJ
ajst-30546	9	43	findings	finding	NOUN
ajst-30546	9	44	indicate	indicate	VERB
ajst-30546	9	45	that	that	SCONJ
ajst-30546	9	46	the	the	DET
ajst-30546	9	47	improved	improved	ADJ
ajst-30546	9	48	retinexformer	retinexformer	NOUN
ajst-30546	9	49	model	model	NOUN
ajst-30546	9	50	demonstrates	demonstrate	VERB
ajst-30546	9	51	strong	strong	ADJ
ajst-30546	9	52	robustness	robustness	NOUN
ajst-30546	9	53	and	and	CCONJ
ajst-30546	9	54	superior	superior	ADJ
ajst-30546	9	55	detection	detection	NOUN
ajst-30546	9	56	accuracy	accuracy	NOUN
ajst-30546	9	57	in	in	ADP
ajst-30546	9	58	foggy	foggy	ADJ
ajst-30546	9	59	multi	multi	ADJ
ajst-30546	9	60	-	-	ADJ
ajst-30546	9	61	object	object	ADJ
ajst-30546	9	62	detection	detection	NOUN
ajst-30546	9	63	tasks	task	NOUN
ajst-30546	9	64	,	,	PUNCT
ajst-30546	9	65	significantly	significantly	ADV
ajst-30546	9	66	enhancing	enhance	VERB
ajst-30546	9	67	traffic	traffic	NOUN
ajst-30546	9	68	safety	safety	NOUN
ajst-30546	9	69	in	in	ADP
ajst-30546	9	70	foggy	foggy	ADJ
ajst-30546	9	71	environments	environment	NOUN
ajst-30546	9	72	.	.	PUNCT
ajst-30546	10	1	keywords	keyword	NOUN
ajst-30546	10	2	:	:	PUNCT
ajst-30546	10	3	fog	fog	NOUN
ajst-30546	10	4	environment	environment	PROPN
ajst-30546	10	5	,	,	PUNCT
ajst-30546	10	6	multi	multi	ADJ
ajst-30546	10	7	-	-	ADJ
ajst-30546	10	8	object	object	ADJ
ajst-30546	10	9	detection	detection	NOUN
ajst-30546	10	10	,	,	PUNCT
ajst-30546	10	11	transformer	transformer	NOUN
ajst-30546	10	12	,	,	PUNCT
ajst-30546	10	13	retinexformer	retinexformer	NOUN
ajst-30546	10	14	,	,	PUNCT
ajst-30546	10	15	dehazing	dehazing	NOUN
ajst-30546	10	16	,	,	PUNCT
ajst-30546	10	17	image	image	NOUN
ajst-30546	10	18	enhancement	enhancement	NOUN
ajst-30546	10	19	,	,	PUNCT
ajst-30546	10	20	perceptual	perceptual	ADJ
ajst-30546	10	21	loss	loss	NOUN
ajst-30546	10	22	function	function	NOUN
ajst-30546	10	23	.	.	PUNCT
ajst-30546	11	1	1	1	X
ajst-30546	11	2	.	.	X
ajst-30546	11	3	introduction	introduction	NOUN
ajst-30546	11	4	as	as	ADP
ajst-30546	11	5	the	the	DET
ajst-30546	11	6	need	need	NOUN
ajst-30546	11	7	for	for	ADP
ajst-30546	11	8	smart	smart	ADJ
ajst-30546	11	9	cities	city	NOUN
ajst-30546	11	10	and	and	CCONJ
ajst-30546	11	11	intelligent	intelligent	ADJ
ajst-30546	11	12	transportation	transportation	NOUN
ajst-30546	11	13	systems	system	NOUN
ajst-30546	11	14	continues	continue	VERB
ajst-30546	11	15	to	to	PART
ajst-30546	11	16	rise	rise	VERB
ajst-30546	11	17	,	,	PUNCT
ajst-30546	11	18	tackling	tackle	VERB
ajst-30546	11	19	the	the	DET
ajst-30546	11	20	difficulties	difficulty	NOUN
ajst-30546	11	21	of	of	ADP
ajst-30546	11	22	object	object	NOUN
ajst-30546	11	23	detection	detection	NOUN
ajst-30546	11	24	in	in	ADP
ajst-30546	11	25	harsh	harsh	ADJ
ajst-30546	11	26	weather	weather	NOUN
ajst-30546	11	27	conditions	condition	NOUN
ajst-30546	11	28	,	,	PUNCT
ajst-30546	11	29	such	such	ADJ
ajst-30546	11	30	as	as	ADP
ajst-30546	11	31	fog	fog	PROPN
ajst-30546	11	32	,	,	PUNCT
ajst-30546	11	33	has	have	AUX
ajst-30546	11	34	become	become	VERB
ajst-30546	11	35	an	an	DET
ajst-30546	11	36	essential	essential	ADJ
ajst-30546	11	37	task	task	NOUN
ajst-30546	11	38	for	for	ADP
ajst-30546	11	39	improving	improve	VERB
ajst-30546	11	40	traffic	traffic	NOUN
ajst-30546	11	41	safety	safety	NOUN
ajst-30546	11	42	.	.	PUNCT
ajst-30546	12	1	fog	fog	NOUN
ajst-30546	12	2	significantly	significantly	ADV
ajst-30546	12	3	impairs	impair	VERB
ajst-30546	12	4	visibility	visibility	NOUN
ajst-30546	12	5	[	[	X
ajst-30546	12	6	1	1	NUM
ajst-30546	12	7	]	]	PUNCT
ajst-30546	12	8	,	,	PUNCT
ajst-30546	12	9	posing	pose	VERB
ajst-30546	12	10	a	a	DET
ajst-30546	12	11	considerable	considerable	ADJ
ajst-30546	12	12	challenge	challenge	NOUN
ajst-30546	12	13	for	for	ADP
ajst-30546	12	14	both	both	DET
ajst-30546	12	15	drivers	driver	NOUN
ajst-30546	12	16	and	and	CCONJ
ajst-30546	12	17	autonomous	autonomous	ADJ
ajst-30546	12	18	systems	system	NOUN
ajst-30546	12	19	in	in	ADP
ajst-30546	12	20	object	object	NOUN
ajst-30546	12	21	recognition	recognition	NOUN
ajst-30546	12	22	.	.	PUNCT
ajst-30546	13	1	in	in	ADP
ajst-30546	13	2	foggy	foggy	ADJ
ajst-30546	13	3	conditions	condition	NOUN
ajst-30546	13	4	,	,	PUNCT
ajst-30546	13	5	traditional	traditional	ADJ
ajst-30546	13	6	object	object	NOUN
ajst-30546	13	7	detection	detection	NOUN
ajst-30546	13	8	algorithms	algorithm	NOUN
ajst-30546	13	9	often	often	ADV
ajst-30546	13	10	fail	fail	VERB
ajst-30546	13	11	to	to	PART
ajst-30546	13	12	maintain	maintain	VERB
ajst-30546	13	13	high	high	ADJ
ajst-30546	13	14	performance	performance	NOUN
ajst-30546	13	15	,	,	PUNCT
ajst-30546	13	16	resulting	result	VERB
ajst-30546	13	17	in	in	ADP
ajst-30546	13	18	a	a	DET
ajst-30546	13	19	higher	high	ADJ
ajst-30546	13	20	likelihood	likelihood	NOUN
ajst-30546	13	21	of	of	ADP
ajst-30546	13	22	traffic	traffic	NOUN
ajst-30546	13	23	accidents	accident	NOUN
ajst-30546	13	24	and	and	CCONJ
ajst-30546	13	25	diminished	diminish	VERB
ajst-30546	13	26	driving	driving	NOUN
ajst-30546	13	27	safety	safety	NOUN
ajst-30546	13	28	.	.	PUNCT
ajst-30546	14	1	in	in	ADP
ajst-30546	14	2	order	order	NOUN
ajst-30546	14	3	to	to	PART
ajst-30546	14	4	tackle	tackle	VERB
ajst-30546	14	5	this	this	DET
ajst-30546	14	6	problem	problem	NOUN
ajst-30546	14	7	,	,	PUNCT
ajst-30546	14	8	this	this	DET
ajst-30546	14	9	paper	paper	NOUN
ajst-30546	14	10	introduces	introduce	VERB
ajst-30546	14	11	a	a	DET
ajst-30546	14	12	foggy	foggy	ADJ
ajst-30546	14	13	multi	multi	ADJ
ajst-30546	14	14	-	-	ADJ
ajst-30546	14	15	object	object	ADJ
ajst-30546	14	16	detection	detection	NOUN
ajst-30546	14	17	approach	approach	NOUN
ajst-30546	14	18	utilizing	utilize	VERB
ajst-30546	14	19	retinex	retinex	ADJ
ajst-30546	14	20	theory	theory	NOUN
ajst-30546	14	21	and	and	CCONJ
ajst-30546	14	22	a	a	DET
ajst-30546	14	23	multi	multi	ADJ
ajst-30546	14	24	-	-	ADJ
ajst-30546	14	25	branch	branch	ADJ
ajst-30546	14	26	transformer	transformer	NOUN
ajst-30546	14	27	[	[	X
ajst-30546	14	28	2	2	NUM
ajst-30546	14	29	]	]	PUNCT
ajst-30546	14	30	.	.	PUNCT
ajst-30546	15	1	retinex	retinex	ADJ
ajst-30546	15	2	theory[3	theory[3	PRON
ajst-30546	15	3	]	]	PUNCT
ajst-30546	15	4	,	,	PUNCT
ajst-30546	15	5	a	a	DET
ajst-30546	15	6	classical	classical	ADJ
ajst-30546	15	7	image	image	NOUN
ajst-30546	15	8	enhancement	enhancement	NOUN
ajst-30546	15	9	method	method	NOUN
ajst-30546	15	10	,	,	PUNCT
ajst-30546	15	11	is	be	AUX
ajst-30546	15	12	particularly	particularly	ADV
ajst-30546	15	13	suitable	suitable	ADJ
ajst-30546	15	14	for	for	ADP
ajst-30546	15	15	image	image	NOUN
ajst-30546	15	16	processing	processing	NOUN
ajst-30546	15	17	under	under	ADP
ajst-30546	15	18	lowvisibility	lowvisibility	NOUN
ajst-30546	15	19	conditions	condition	NOUN
ajst-30546	15	20	.	.	PUNCT
ajst-30546	16	1	it	it	PRON
ajst-30546	16	2	effectively	effectively	ADV
ajst-30546	16	3	recovers	recover	VERB
ajst-30546	16	4	image	image	NOUN
ajst-30546	16	5	details	detail	NOUN
ajst-30546	16	6	obscured	obscure	VERB
ajst-30546	16	7	by	by	ADP
ajst-30546	16	8	fog	fog	PROPN
ajst-30546	16	9	,	,	PUNCT
ajst-30546	16	10	enhancing	enhance	VERB
ajst-30546	16	11	the	the	DET
ajst-30546	16	12	contrast	contrast	NOUN
ajst-30546	16	13	and	and	CCONJ
ajst-30546	16	14	visibility	visibility	NOUN
ajst-30546	16	15	of	of	ADP
ajst-30546	16	16	object	object	NOUN
ajst-30546	16	17	.	.	PUNCT
ajst-30546	17	1	by	by	ADP
ajst-30546	17	2	incorporating	incorporate	VERB
ajst-30546	17	3	retinex	retinex	ADJ
ajst-30546	17	4	theory	theory	NOUN
ajst-30546	17	5	,	,	PUNCT
ajst-30546	17	6	the	the	DET
ajst-30546	17	7	proposed	propose	VERB
ajst-30546	17	8	algorithm	algorithm	NOUN
ajst-30546	17	9	mitigates	mitigate	VERB
ajst-30546	17	10	the	the	DET
ajst-30546	17	11	impact	impact	NOUN
ajst-30546	17	12	of	of	ADP
ajst-30546	17	13	fog	fog	NOUN
ajst-30546	17	14	on	on	ADP
ajst-30546	17	15	images	image	NOUN
ajst-30546	17	16	,	,	PUNCT
ajst-30546	17	17	improving	improve	VERB
ajst-30546	17	18	the	the	DET
ajst-30546	17	19	clarity	clarity	NOUN
ajst-30546	17	20	of	of	ADP
ajst-30546	17	21	important	important	ADJ
ajst-30546	17	22	objects	object	NOUN
ajst-30546	17	23	such	such	ADJ
ajst-30546	17	24	as	as	ADP
ajst-30546	17	25	vehicles	vehicle	NOUN
ajst-30546	17	26	and	and	CCONJ
ajst-30546	17	27	pedestrians	pedestrian	NOUN
ajst-30546	17	28	,	,	PUNCT
ajst-30546	17	29	while	while	SCONJ
ajst-30546	17	30	preserving	preserve	VERB
ajst-30546	17	31	the	the	DET
ajst-30546	17	32	natural	natural	ADJ
ajst-30546	17	33	appearance	appearance	NOUN
ajst-30546	17	34	of	of	ADP
ajst-30546	17	35	the	the	DET
ajst-30546	17	36	scene	scene	NOUN
ajst-30546	17	37	.	.	PUNCT
ajst-30546	18	1	in	in	ADP
ajst-30546	18	2	this	this	DET
ajst-30546	18	3	study	study	NOUN
ajst-30546	18	4	,	,	PUNCT
ajst-30546	18	5	we	we	PRON
ajst-30546	18	6	extend	extend	VERB
ajst-30546	18	7	the	the	DET
ajst-30546	18	8	transformer	transformer	NOUN
ajst-30546	18	9	architecture	architecture	NOUN
ajst-30546	18	10	by	by	ADP
ajst-30546	18	11	incorporating	incorporate	VERB
ajst-30546	18	12	a	a	DET
ajst-30546	18	13	multi	multi	ADJ
ajst-30546	18	14	-	-	ADJ
ajst-30546	18	15	branch	branch	ADJ
ajst-30546	18	16	structure	structure	NOUN
ajst-30546	18	17	,	,	PUNCT
ajst-30546	18	18	allowing	allow	VERB
ajst-30546	18	19	the	the	DET
ajst-30546	18	20	model	model	NOUN
ajst-30546	18	21	to	to	PART
ajst-30546	18	22	process	process	VERB
ajst-30546	18	23	different	different	ADJ
ajst-30546	18	24	levels	level	NOUN
ajst-30546	18	25	of	of	ADP
ajst-30546	18	26	features	feature	NOUN
ajst-30546	18	27	and	and	CCONJ
ajst-30546	18	28	contextual	contextual	ADJ
ajst-30546	18	29	information	information	NOUN
ajst-30546	18	30	simultaneously[4	simultaneously[4	PROPN
ajst-30546	18	31	]	]	X
ajst-30546	18	32	.	.	PUNCT
ajst-30546	19	1	this	this	DET
ajst-30546	19	2	multi	multi	ADJ
ajst-30546	19	3	-	-	ADJ
ajst-30546	19	4	branch	branch	ADJ
ajst-30546	19	5	structure	structure	NOUN
ajst-30546	19	6	enables	enable	VERB
ajst-30546	19	7	the	the	DET
ajst-30546	19	8	model	model	NOUN
ajst-30546	19	9	to	to	PART
ajst-30546	19	10	handle	handle	VERB
ajst-30546	19	11	the	the	DET
ajst-30546	19	12	complexity	complexity	NOUN
ajst-30546	19	13	of	of	ADP
ajst-30546	19	14	foggy	foggy	ADJ
ajst-30546	19	15	scenes	scene	NOUN
ajst-30546	19	16	,	,	PUNCT
ajst-30546	19	17	where	where	SCONJ
ajst-30546	19	18	different	different	ADJ
ajst-30546	19	19	objects	object	NOUN
ajst-30546	19	20	(	(	PUNCT
ajst-30546	19	21	e.g	e.g	NOUN
ajst-30546	19	22	,	,	PUNCT
ajst-30546	19	23	distant	distant	ADJ
ajst-30546	19	24	objects	object	NOUN
ajst-30546	19	25	,	,	PUNCT
ajst-30546	19	26	small	small	ADJ
ajst-30546	19	27	targets	target	NOUN
ajst-30546	19	28	,	,	PUNCT
ajst-30546	19	29	or	or	CCONJ
ajst-30546	19	30	occluded	occlude	VERB
ajst-30546	19	31	items	item	NOUN
ajst-30546	19	32	)	)	PUNCT
ajst-30546	19	33	require	require	VERB
ajst-30546	19	34	separate	separate	ADJ
ajst-30546	19	35	handling	handling	NOUN
ajst-30546	19	36	.	.	PUNCT
ajst-30546	20	1	each	each	DET
ajst-30546	20	2	branch	branch	NOUN
ajst-30546	20	3	of	of	ADP
ajst-30546	20	4	the	the	DET
ajst-30546	20	5	transformer	transformer	NOUN
ajst-30546	20	6	focuses	focus	VERB
ajst-30546	20	7	on	on	ADP
ajst-30546	20	8	different	different	ADJ
ajst-30546	20	9	aspects	aspect	NOUN
ajst-30546	20	10	of	of	ADP
ajst-30546	20	11	the	the	DET
ajst-30546	20	12	scene	scene	NOUN
ajst-30546	20	13	,	,	PUNCT
ajst-30546	20	14	such	such	ADJ
ajst-30546	20	15	as	as	ADP
ajst-30546	20	16	foreground	foreground	NOUN
ajst-30546	20	17	objects	object	NOUN
ajst-30546	20	18	,	,	PUNCT
ajst-30546	20	19	background	background	NOUN
ajst-30546	20	20	structures	structure	NOUN
ajst-30546	20	21	,	,	PUNCT
ajst-30546	20	22	and	and	CCONJ
ajst-30546	20	23	contextual	contextual	ADJ
ajst-30546	20	24	information	information	NOUN
ajst-30546	20	25	,	,	PUNCT
ajst-30546	20	26	ensuring	ensure	VERB
ajst-30546	20	27	that	that	SCONJ
ajst-30546	20	28	the	the	DET
ajst-30546	20	29	model	model	NOUN
ajst-30546	20	30	can	can	AUX
ajst-30546	20	31	effectively	effectively	ADV
ajst-30546	20	32	address	address	VERB
ajst-30546	20	33	occlusion	occlusion	NOUN
ajst-30546	20	34	issues	issue	NOUN
ajst-30546	20	35	and	and	CCONJ
ajst-30546	20	36	variations	variation	NOUN
ajst-30546	20	37	in	in	ADP
ajst-30546	20	38	object	object	NOUN
ajst-30546	20	39	scales.the	scales.the	PRON
ajst-30546	20	40	combination	combination	NOUN
ajst-30546	20	41	of	of	ADP
ajst-30546	20	42	retinex	retinex	ADJ
ajst-30546	20	43	theory	theory	NOUN
ajst-30546	20	44	and	and	CCONJ
ajst-30546	20	45	multi	multi	ADJ
ajst-30546	20	46	-	-	ADJ
ajst-30546	20	47	branch	branch	ADJ
ajst-30546	20	48	transformer	transformer	NOUN
ajst-30546	20	49	enables	enable	VERB
ajst-30546	20	50	the	the	DET
ajst-30546	20	51	proposed	propose	VERB
ajst-30546	20	52	algorithm	algorithm	NOUN
ajst-30546	20	53	to	to	PART
ajst-30546	20	54	better	well	ADV
ajst-30546	20	55	tackle	tackle	VERB
ajst-30546	20	56	the	the	DET
ajst-30546	20	57	challenges	challenge	NOUN
ajst-30546	20	58	posed	pose	VERB
ajst-30546	20	59	by	by	ADP
ajst-30546	20	60	foggy	foggy	ADJ
ajst-30546	20	61	environments	environment	NOUN
ajst-30546	21	1	[	[	X
ajst-30546	21	2	6	6	NUM
ajst-30546	21	3	]	]	PUNCT
ajst-30546	21	4	.	.	PUNCT
ajst-30546	22	1	the	the	DET
ajst-30546	22	2	model	model	NOUN
ajst-30546	22	3	is	be	AUX
ajst-30546	22	4	able	able	ADJ
ajst-30546	22	5	to	to	PART
ajst-30546	22	6	efficiently	efficiently	ADV
ajst-30546	22	7	and	and	CCONJ
ajst-30546	22	8	accurately	accurately	ADV
ajst-30546	22	9	detect	detect	VERB
ajst-30546	22	10	multiple	multiple	ADJ
ajst-30546	22	11	objects	object	NOUN
ajst-30546	22	12	in	in	ADP
ajst-30546	22	13	complex	complex	ADJ
ajst-30546	22	14	foggy	foggy	ADJ
ajst-30546	22	15	scenes.this	scenes.this	PRON
ajst-30546	22	16	proposed	propose	VERB
ajst-30546	22	17	foggy	foggy	ADJ
ajst-30546	22	18	multi	multi	ADJ
ajst-30546	22	19	-	-	ADJ
ajst-30546	22	20	object	object	ADJ
ajst-30546	22	21	detection	detection	NOUN
ajst-30546	22	22	algorithm	algorithm	NOUN
ajst-30546	22	23	provides	provide	VERB
ajst-30546	22	24	a	a	DET
ajst-30546	22	25	reliable	reliable	ADJ
ajst-30546	22	26	and	and	CCONJ
ajst-30546	22	27	efficient	efficient	ADJ
ajst-30546	22	28	solution	solution	NOUN
ajst-30546	22	29	for	for	ADP
ajst-30546	22	30	object	object	NOUN
ajst-30546	22	31	recognition	recognition	NOUN
ajst-30546	22	32	in	in	ADP
ajst-30546	22	33	adverse	adverse	ADJ
ajst-30546	22	34	weather	weather	NOUN
ajst-30546	22	35	conditions	condition	NOUN
ajst-30546	22	36	,	,	PUNCT
ajst-30546	22	37	making	make	VERB
ajst-30546	22	38	it	it	PRON
ajst-30546	22	39	especially	especially	ADV
ajst-30546	22	40	suitable	suitable	ADJ
ajst-30546	22	41	for	for	ADP
ajst-30546	22	42	real	real	ADJ
ajst-30546	22	43	-	-	PUNCT
ajst-30546	22	44	time	time	NOUN
ajst-30546	22	45	applications	application	NOUN
ajst-30546	22	46	such	such	ADJ
ajst-30546	22	47	as	as	ADP
ajst-30546	22	48	autonomous	autonomous	ADJ
ajst-30546	22	49	driving	driving	NOUN
ajst-30546	22	50	and	and	CCONJ
ajst-30546	22	51	intelligent	intelligent	ADJ
ajst-30546	22	52	transportation	transportation	NOUN
ajst-30546	22	53	systems	system	NOUN
ajst-30546	22	54	,	,	PUNCT
ajst-30546	22	55	where	where	SCONJ
ajst-30546	22	56	object	object	VERB
ajst-30546	22	57	detection	detection	NOUN
ajst-30546	22	58	in	in	ADP
ajst-30546	22	59	foggy	foggy	ADJ
ajst-30546	22	60	environments	environment	NOUN
ajst-30546	22	61	is	be	AUX
ajst-30546	22	62	crucial	crucial	ADJ
ajst-30546	22	63	for	for	ADP
ajst-30546	22	64	ensuring	ensure	VERB
ajst-30546	22	65	system	system	NOUN
ajst-30546	22	66	safety	safety	NOUN
ajst-30546	22	67	and	and	CCONJ
ajst-30546	22	68	functionality[5	functionality[5	NOUN
ajst-30546	22	69	]	]	SYM
ajst-30546	22	70	.	.	PUNCT
ajst-30546	23	1	2	2	X
ajst-30546	23	2	.	.	X
ajst-30546	23	3	yolov8	yolov8	NOUN
ajst-30546	23	4	network	network	PROPN
ajst-30546	23	5	model	model	NOUN
ajst-30546	23	6	since	since	SCONJ
ajst-30546	23	7	its	its	PRON
ajst-30546	23	8	launch	launch	NOUN
ajst-30546	23	9	,	,	PUNCT
ajst-30546	23	10	the	the	DET
ajst-30546	23	11	yolo	yolo	ADJ
ajst-30546	23	12	series	series	NOUN
ajst-30546	23	13	has	have	AUX
ajst-30546	23	14	been	be	AUX
ajst-30546	23	15	widely	widely	ADV
ajst-30546	23	16	used	use	VERB
ajst-30546	23	17	in	in	ADP
ajst-30546	23	18	object	object	NOUN
ajst-30546	23	19	detection	detection	NOUN
ajst-30546	23	20	,	,	PUNCT
ajst-30546	23	21	video	video	NOUN
ajst-30546	23	22	analysis	analysis	NOUN
ajst-30546	23	23	,	,	PUNCT
ajst-30546	23	24	and	and	CCONJ
ajst-30546	23	25	autonomous	autonomous	ADJ
ajst-30546	23	26	driving	driving	NOUN
ajst-30546	23	27	with	with	ADP
ajst-30546	23	28	its	its	PRON
ajst-30546	23	29	efficient	efficient	ADJ
ajst-30546	23	30	detection	detection	NOUN
ajst-30546	23	31	speed	speed	NOUN
ajst-30546	23	32	and	and	CCONJ
ajst-30546	23	33	real	real	ADJ
ajst-30546	23	34	-	-	PUNCT
ajst-30546	23	35	time	time	NOUN
ajst-30546	23	36	performance	performance	NOUN
ajst-30546	23	37	.	.	PUNCT
ajst-30546	24	1	yolov8[6	yolov8[6	PROPN
ajst-30546	24	2	]	]	PUNCT
ajst-30546	24	3	continue	continue	VERB
ajst-30546	24	4	the	the	DET
ajst-30546	24	5	core	core	NOUN
ajst-30546	24	6	design	design	NOUN
ajst-30546	24	7	concept	concept	NOUN
ajst-30546	24	8	of	of	ADP
ajst-30546	24	9	yolo	yolo	NOUN
ajst-30546	24	10	and	and	CCONJ
ajst-30546	24	11	achieves	achieve	VERB
ajst-30546	24	12	goal	goal	NOUN
ajst-30546	24	13	detection	detection	NOUN
ajst-30546	24	14	through	through	ADP
ajst-30546	24	15	a	a	DET
ajst-30546	24	16	single	single	ADJ
ajst-30546	24	17	forward	forward	ADJ
ajst-30546	24	18	delivery	delivery	NOUN
ajst-30546	24	19	.	.	PUNCT
ajst-30546	25	1	its	its	PRON
ajst-30546	25	2	backbone	backbone	NOUN
ajst-30546	25	3	network	network	NOUN
ajst-30546	25	4	is	be	AUX
ajst-30546	25	5	based	base	VERB
ajst-30546	25	6	on	on	ADP
ajst-30546	25	7	the	the	DET
ajst-30546	25	8	cspdarknet[7	cspdarknet[7	PROPN
ajst-30546	25	9	]	]	PUNCT
ajst-30546	25	10	architecture	architecture	NOUN
ajst-30546	25	11	,	,	PUNCT
ajst-30546	25	12	using	use	VERB
ajst-30546	25	13	more	more	ADJ
ajst-30546	25	14	convolutional	convolutional	ADJ
ajst-30546	25	15	modules	module	NOUN
ajst-30546	25	16	c2f[8	c2f[8	VERB
ajst-30546	25	17	]	]	PUNCT
ajst-30546	25	18	,	,	PUNCT
ajst-30546	25	19	and	and	CCONJ
ajst-30546	25	20	sppf[9	sppf[9	NOUN
ajst-30546	25	21	]	]	X
ajst-30546	25	22	components	component	NOUN
ajst-30546	25	23	,	,	PUNCT
ajst-30546	25	24	and	and	CCONJ
ajst-30546	25	25	residual	residual	ADJ
ajst-30546	25	26	connections	connection	NOUN
ajst-30546	25	27	to	to	PART
ajst-30546	25	28	enhance	enhance	VERB
ajst-30546	25	29	the	the	DET
ajst-30546	25	30	feature	feature	NOUN
ajst-30546	25	31	extraction	extraction	NOUN
ajst-30546	25	32	capability	capability	NOUN
ajst-30546	25	33	.	.	PUNCT
ajst-30546	26	1	the	the	DET
ajst-30546	26	2	neck	neck	NOUN
ajst-30546	26	3	network	network	NOUN
ajst-30546	26	4	combines	combine	VERB
ajst-30546	26	5	feature	feature	NOUN
ajst-30546	26	6	pyramid	pyramid	NOUN
ajst-30546	26	7	network	network	NOUN
ajst-30546	26	8	(	(	PUNCT
ajst-30546	26	9	fpn	fpn	PROPN
ajst-30546	26	10	)	)	PUNCT
ajst-30546	26	11	and	and	CCONJ
ajst-30546	26	12	path	path	NOUN
ajst-30546	26	13	aggregation	aggregation	NOUN
ajst-30546	26	14	network	network	NOUN
ajst-30546	26	15	(	(	PUNCT
ajst-30546	26	16	pan	pan	NOUN
ajst-30546	26	17	)	)	PUNCT
ajst-30546	26	18	to	to	PART
ajst-30546	26	19	effectively	effectively	ADV
ajst-30546	26	20	integrate	integrate	VERB
ajst-30546	26	21	multi	multi	ADJ
ajst-30546	26	22	-	-	ADJ
ajst-30546	26	23	scale	scale	ADJ
ajst-30546	26	24	features	feature	NOUN
ajst-30546	26	25	and	and	CCONJ
ajst-30546	26	26	improve	improve	VERB
ajst-30546	26	27	the	the	DET
ajst-30546	26	28	detection	detection	NOUN
ajst-30546	26	29	accuracy	accuracy	NOUN
ajst-30546	26	30	of	of	ADP
ajst-30546	26	31	small	small	ADJ
ajst-30546	26	32	objects	object	NOUN
ajst-30546	26	33	.	.	PUNCT
ajst-30546	27	1	yolov8	yolov8	NOUN
ajst-30546	27	2	using	use	VERB
ajst-30546	27	3	three	three	NUM
ajst-30546	27	4	decoupled	decouple	VERB
ajst-30546	27	5	detection	detection	NOUN
ajst-30546	27	6	heads	head	NOUN
ajst-30546	27	7	to	to	PART
ajst-30546	27	8	handle	handle	VERB
ajst-30546	27	9	detection	detection	NOUN
ajst-30546	27	10	and	and	CCONJ
ajst-30546	27	11	classification	classification	NOUN
ajst-30546	27	12	tasks	task	NOUN
ajst-30546	27	13	separately	separately	ADV
ajst-30546	27	14	,	,	PUNCT
ajst-30546	27	15	enhancing	enhance	VERB
ajst-30546	27	16	model	model	NOUN
ajst-30546	27	17	accuracy	accuracy	NOUN
ajst-30546	27	18	and	and	CCONJ
ajst-30546	27	19	flexibility	flexibility	NOUN
ajst-30546	27	20	.	.	PUNCT
ajst-30546	28	1	at	at	ADP
ajst-30546	28	2	the	the	DET
ajst-30546	28	3	same	same	ADJ
ajst-30546	28	4	time	time	NOUN
ajst-30546	28	5	,	,	PUNCT
ajst-30546	28	6	yolov8	yolov8	PROPN
ajst-30546	28	7	introduces	introduce	VERB
ajst-30546	28	8	the	the	DET
ajst-30546	28	9	anchor	anchor	NOUN
ajst-30546	28	10	-	-	PUNCT
ajst-30546	28	11	free	free	ADJ
ajst-30546	28	12	detection	detection	NOUN
ajst-30546	28	13	method	method	NOUN
ajst-30546	28	14	,	,	PUNCT
ajst-30546	28	15	which	which	PRON
ajst-30546	28	16	improves	improve	VERB
ajst-30546	28	17	186	186	NUM
ajst-30546	28	18	the	the	DET
ajst-30546	28	19	positioning	positioning	NOUN
ajst-30546	28	20	and	and	CCONJ
ajst-30546	28	21	classification	classification	NOUN
ajst-30546	28	22	ability	ability	NOUN
ajst-30546	28	23	in	in	ADP
ajst-30546	28	24	complex	complex	ADJ
ajst-30546	28	25	scenes	scene	NOUN
ajst-30546	28	26	.	.	PUNCT
ajst-30546	29	1	to	to	PART
ajst-30546	29	2	meet	meet	VERB
ajst-30546	29	3	computational	computational	ADJ
ajst-30546	29	4	resource	resource	NOUN
ajst-30546	29	5	limitations	limitation	NOUN
ajst-30546	29	6	,	,	PUNCT
ajst-30546	29	7	yolov8	yolov8	NOUN
ajst-30546	29	8	also	also	ADV
ajst-30546	29	9	provides	provide	VERB
ajst-30546	29	10	a	a	DET
ajst-30546	29	11	lightweight	lightweight	ADJ
ajst-30546	29	12	version	version	NOUN
ajst-30546	29	13	(	(	PUNCT
ajst-30546	29	14	yolov8n	yolov8n	PROPN
ajst-30546	29	15	)	)	PUNCT
ajst-30546	29	16	,	,	PUNCT
ajst-30546	29	17	which	which	PRON
ajst-30546	29	18	provides	provide	VERB
ajst-30546	29	19	good	good	ADJ
ajst-30546	29	20	detection	detection	NOUN
ajst-30546	29	21	accuracy	accuracy	NOUN
ajst-30546	29	22	while	while	SCONJ
ajst-30546	29	23	maintaining	maintain	VERB
ajst-30546	29	24	low	low	ADJ
ajst-30546	29	25	computational	computational	ADJ
ajst-30546	29	26	overhead	overhead	NOUN
ajst-30546	29	27	.	.	PUNCT
ajst-30546	30	1	yolov8	yolov8	NOUN
ajst-30546	30	2	has	have	AUX
ajst-30546	30	3	been	be	AUX
ajst-30546	30	4	widely	widely	ADV
ajst-30546	30	5	used	use	VERB
ajst-30546	30	6	in	in	ADP
ajst-30546	30	7	autonomous	autonomous	ADJ
ajst-30546	30	8	driving	driving	NOUN
ajst-30546	30	9	,	,	PUNCT
ajst-30546	30	10	security	security	NOUN
ajst-30546	30	11	monitoring	monitoring	NOUN
ajst-30546	30	12	,	,	PUNCT
ajst-30546	30	13	intelligent	intelligent	ADJ
ajst-30546	30	14	traffic	traffic	NOUN
ajst-30546	30	15	safety	safety	NOUN
ajst-30546	30	16	and	and	CCONJ
ajst-30546	30	17	other	other	ADJ
ajst-30546	30	18	fields	field	NOUN
ajst-30546	30	19	,	,	PUNCT
ajst-30546	30	20	and	and	CCONJ
ajst-30546	30	21	is	be	AUX
ajst-30546	30	22	the	the	DET
ajst-30546	30	23	preferred	preferred	ADJ
ajst-30546	30	24	model	model	NOUN
ajst-30546	30	25	for	for	ADP
ajst-30546	30	26	many	many	ADJ
ajst-30546	30	27	real	real	ADJ
ajst-30546	30	28	-	-	PUNCT
ajst-30546	30	29	time	time	NOUN
ajst-30546	30	30	visual	visual	ADJ
ajst-30546	30	31	tasks[10	tasks[10	NOUN
ajst-30546	30	32	]	]	PUNCT
ajst-30546	30	33	.	.	PUNCT
ajst-30546	31	1	3	3	X
ajst-30546	31	2	.	.	X
ajst-30546	31	3	fog	fog	NOUN
ajst-30546	31	4	-	-	PUNCT
ajst-30546	31	5	mod	mod	PROPN
ajst-30546	31	6	-	-	PUNCT
ajst-30546	31	7	yolov8n	yolov8n	NOUN
ajst-30546	31	8	algorithm	algorithm	NOUN
ajst-30546	31	9	for	for	ADP
ajst-30546	31	10	robust	robust	ADJ
ajst-30546	31	11	object	object	NOUN
ajst-30546	31	12	detection	detection	NOUN
ajst-30546	31	13	in	in	ADP
ajst-30546	31	14	foggy	foggy	ADJ
ajst-30546	31	15	environment	environment	NOUN
ajst-30546	31	16	while	while	SCONJ
ajst-30546	31	17	the	the	DET
ajst-30546	31	18	original	original	ADJ
ajst-30546	31	19	yolov8n	yolov8n	NOUN
ajst-30546	31	20	algorithm	algorithm	NOUN
ajst-30546	31	21	demonstrates	demonstrate	VERB
ajst-30546	31	22	outstanding	outstanding	ADJ
ajst-30546	31	23	performance	performance	NOUN
ajst-30546	31	24	in	in	ADP
ajst-30546	31	25	both	both	DET
ajst-30546	31	26	accuracy	accuracy	NOUN
ajst-30546	31	27	and	and	CCONJ
ajst-30546	31	28	speed	speed	NOUN
ajst-30546	31	29	,	,	PUNCT
ajst-30546	31	30	its	its	PRON
ajst-30546	31	31	performance	performance	NOUN
ajst-30546	31	32	in	in	ADP
ajst-30546	31	33	foggy	foggy	ADJ
ajst-30546	31	34	environments	environment	NOUN
ajst-30546	31	35	may	may	AUX
ajst-30546	31	36	degrade	degrade	VERB
ajst-30546	31	37	due	due	ADP
ajst-30546	31	38	to	to	ADP
ajst-30546	31	39	the	the	DET
ajst-30546	31	40	low	low	ADJ
ajst-30546	31	41	-	-	PUNCT
ajst-30546	31	42	quality	quality	NOUN
ajst-30546	31	43	images	image	NOUN
ajst-30546	31	44	affected	affect	VERB
ajst-30546	31	45	by	by	ADP
ajst-30546	31	46	fog	fog	PROPN
ajst-30546	31	47	,	,	PUNCT
ajst-30546	31	48	which	which	PRON
ajst-30546	31	49	can	can	AUX
ajst-30546	31	50	lead	lead	VERB
ajst-30546	31	51	to	to	ADP
ajst-30546	31	52	a	a	DET
ajst-30546	31	53	decrease	decrease	NOUN
ajst-30546	31	54	in	in	ADP
ajst-30546	31	55	detection	detection	NOUN
ajst-30546	31	56	precision	precision	NOUN
ajst-30546	31	57	,	,	PUNCT
ajst-30546	31	58	especially	especially	ADV
ajst-30546	31	59	in	in	ADP
ajst-30546	31	60	cases	case	NOUN
ajst-30546	31	61	of	of	ADP
ajst-30546	31	62	occlusion	occlusion	NOUN
ajst-30546	31	63	,	,	PUNCT
ajst-30546	31	64	blurring	blurring	NOUN
ajst-30546	31	65	,	,	PUNCT
ajst-30546	31	66	and	and	CCONJ
ajst-30546	31	67	uneven	uneven	ADJ
ajst-30546	31	68	lighting	lighting	NOUN
ajst-30546	31	69	between	between	ADP
ajst-30546	31	70	objects[11	objects[11	NOUN
ajst-30546	31	71	]	]	PUNCT
ajst-30546	31	72	.	.	PUNCT
ajst-30546	32	1	to	to	PART
ajst-30546	32	2	overcome	overcome	VERB
ajst-30546	32	3	these	these	DET
ajst-30546	32	4	issues	issue	NOUN
ajst-30546	32	5	,	,	PUNCT
ajst-30546	32	6	this	this	DET
ajst-30546	32	7	paper	paper	NOUN
ajst-30546	32	8	presents	present	VERB
ajst-30546	32	9	an	an	DET
ajst-30546	32	10	innovative	innovative	ADJ
ajst-30546	32	11	architectural	architectural	NOUN
ajst-30546	32	12	design—fog-mod-yolov8n.this	design—fog-mod-yolov8n.this	DET
ajst-30546	32	13	model	model	NOUN
ajst-30546	32	14	applies	apply	VERB
ajst-30546	32	15	the	the	DET
ajst-30546	32	16	retinex	retinex	ADJ
ajst-30546	32	17	theory	theory	NOUN
ajst-30546	32	18	for	for	ADP
ajst-30546	32	19	fog	fog	NOUN
ajst-30546	32	20	image	image	NOUN
ajst-30546	32	21	enhancement	enhancement	NOUN
ajst-30546	32	22	and	and	CCONJ
ajst-30546	32	23	utilizes	utilize	VERB
ajst-30546	32	24	a	a	DET
ajst-30546	32	25	multi	multi	ADJ
ajst-30546	32	26	-	-	ADJ
ajst-30546	32	27	branch	branch	ADJ
ajst-30546	32	28	transformer	transformer	NOUN
ajst-30546	32	29	network	network	NOUN
ajst-30546	32	30	to	to	PART
ajst-30546	32	31	model	model	VERB
ajst-30546	32	32	interactions	interaction	NOUN
ajst-30546	32	33	between	between	ADP
ajst-30546	32	34	multiple	multiple	ADJ
ajst-30546	32	35	objects	object	NOUN
ajst-30546	32	36	at	at	ADP
ajst-30546	32	37	a	a	DET
ajst-30546	32	38	granular	granular	ADJ
ajst-30546	32	39	level	level	NOUN
ajst-30546	32	40	.	.	PUNCT
ajst-30546	33	1	this	this	DET
ajst-30546	33	2	method	method	NOUN
ajst-30546	33	3	significantly	significantly	ADV
ajst-30546	33	4	improves	improve	VERB
ajst-30546	33	5	both	both	DET
ajst-30546	33	6	detection	detection	NOUN
ajst-30546	33	7	accuracy	accuracy	NOUN
ajst-30546	33	8	and	and	CCONJ
ajst-30546	33	9	robustness	robustness	NOUN
ajst-30546	33	10	in	in	ADP
ajst-30546	33	11	foggy	foggy	ADJ
ajst-30546	33	12	environments	environment	NOUN
ajst-30546	33	13	.	.	PUNCT
ajst-30546	34	1	when	when	SCONJ
ajst-30546	34	2	compared	compare	VERB
ajst-30546	34	3	to	to	ADP
ajst-30546	34	4	the	the	DET
ajst-30546	34	5	conventional	conventional	ADJ
ajst-30546	34	6	yolov8	yolov8	NOUN
ajst-30546	34	7	,	,	PUNCT
ajst-30546	34	8	the	the	DET
ajst-30546	34	9	upgraded	upgrade	VERB
ajst-30546	34	10	version	version	NOUN
ajst-30546	34	11	excels	excel	NOUN
ajst-30546	34	12	in	in	ADP
ajst-30546	34	13	identifying	identify	VERB
ajst-30546	34	14	small	small	ADJ
ajst-30546	34	15	,	,	PUNCT
ajst-30546	34	16	overlapping	overlap	VERB
ajst-30546	34	17	objects	object	NOUN
ajst-30546	34	18	in	in	ADP
ajst-30546	34	19	low	low	ADJ
ajst-30546	34	20	-	-	PUNCT
ajst-30546	34	21	contrast	contrast	NOUN
ajst-30546	34	22	,	,	PUNCT
ajst-30546	34	23	fogimpacted	fogimpacted	ADJ
ajst-30546	34	24	scenes	scene	NOUN
ajst-30546	34	25	,	,	PUNCT
ajst-30546	34	26	while	while	SCONJ
ajst-30546	34	27	maintaining	maintain	VERB
ajst-30546	34	28	a	a	DET
ajst-30546	34	29	balance	balance	NOUN
ajst-30546	34	30	between	between	ADP
ajst-30546	34	31	high	high	ADJ
ajst-30546	34	32	efficiency	efficiency	NOUN
ajst-30546	34	33	and	and	CCONJ
ajst-30546	34	34	a	a	DET
ajst-30546	34	35	lightweight	lightweight	ADJ
ajst-30546	34	36	framework	framework	NOUN
ajst-30546	34	37	.	.	PUNCT
ajst-30546	35	1	the	the	DET
ajst-30546	35	2	model	model	NOUN
ajst-30546	35	3	’s	’s	PART
ajst-30546	35	4	performance	performance	NOUN
ajst-30546	35	5	has	have	AUX
ajst-30546	35	6	been	be	AUX
ajst-30546	35	7	confirmed	confirm	VERB
ajst-30546	35	8	through	through	ADP
ajst-30546	35	9	experiments	experiment	NOUN
ajst-30546	35	10	on	on	ADP
ajst-30546	35	11	various	various	ADJ
ajst-30546	35	12	fog	fog	PROPN
ajst-30546	35	13	-	-	PUNCT
ajst-30546	35	14	related	relate	VERB
ajst-30546	35	15	datasets	dataset	NOUN
ajst-30546	35	16	.	.	PUNCT
ajst-30546	36	1	the	the	DET
ajst-30546	36	2	architecture	architecture	NOUN
ajst-30546	36	3	of	of	ADP
ajst-30546	36	4	the	the	DET
ajst-30546	36	5	fogmod	fogmod	NOUN
ajst-30546	36	6	-	-	PUNCT
ajst-30546	36	7	yolov8n	yolov8n	NOUN
ajst-30546	36	8	network	network	NOUN
ajst-30546	36	9	is	be	AUX
ajst-30546	36	10	illustrated	illustrate	VERB
ajst-30546	36	11	in	in	ADP
ajst-30546	36	12	the	the	DET
ajst-30546	36	13	figure	figure	NOUN
ajst-30546	36	14	.	.	PUNCT
ajst-30546	37	1	figure	figure	NOUN
ajst-30546	37	2	1	1	NUM
ajst-30546	37	3	.	.	PUNCT
ajst-30546	38	1	structure	structure	NOUN
ajst-30546	38	2	of	of	ADP
ajst-30546	38	3	fog	fog	PROPN
ajst-30546	38	4	-	-	PUNCT
ajst-30546	38	5	mod	mod	PROPN
ajst-30546	38	6	-	-	PUNCT
ajst-30546	38	7	yolov8n	yolov8n	NOUN
ajst-30546	38	8	1	1	NUM
ajst-30546	38	9	)	)	PUNCT
ajst-30546	38	10	introduction	introduction	NOUN
ajst-30546	38	11	of	of	ADP
ajst-30546	38	12	retinexformer	retinexformer	NOUN
ajst-30546	38	13	model	model	NOUN
ajst-30546	38	14	in	in	ADP
ajst-30546	38	15	this	this	DET
ajst-30546	38	16	study	study	NOUN
ajst-30546	38	17	consists	consist	VERB
ajst-30546	38	18	of	of	ADP
ajst-30546	38	19	a	a	DET
ajst-30546	38	20	single	single	ADJ
ajst-30546	38	21	-	-	PUNCT
ajst-30546	38	22	stage	stage	NOUN
ajst-30546	38	23	retinex	retinex	ADJ
ajst-30546	38	24	framework	framework	NOUN
ajst-30546	38	25	and	and	CCONJ
ajst-30546	38	26	an	an	DET
ajst-30546	38	27	illumination	illumination	NOUN
ajst-30546	38	28	-	-	PUNCT
ajst-30546	38	29	guided	guide	VERB
ajst-30546	38	30	transformer	transformer	NOUN
ajst-30546	38	31	.	.	PUNCT
ajst-30546	39	1	the	the	DET
ajst-30546	39	2	orf	orf	PROPN
ajst-30546	39	3	module	module	NOUN
ajst-30546	39	4	enhances	enhance	VERB
ajst-30546	39	5	the	the	DET
ajst-30546	39	6	brightness	brightness	NOUN
ajst-30546	39	7	and	and	CCONJ
ajst-30546	39	8	contrast	contrast	NOUN
ajst-30546	39	9	of	of	ADP
ajst-30546	39	10	the	the	DET
ajst-30546	39	11	input	input	NOUN
ajst-30546	39	12	image	image	NOUN
ajst-30546	39	13	by	by	ADP
ajst-30546	39	14	generating	generate	VERB
ajst-30546	39	15	brightness	brightness	NOUN
ajst-30546	39	16	-	-	PUNCT
ajst-30546	39	17	enhanced	enhance	VERB
ajst-30546	39	18	images	image	NOUN
ajst-30546	39	19	,	,	PUNCT
ajst-30546	39	20	providing	provide	VERB
ajst-30546	39	21	high	high	ADJ
ajst-30546	39	22	-	-	PUNCT
ajst-30546	39	23	quality	quality	NOUN
ajst-30546	39	24	input	input	NOUN
ajst-30546	39	25	for	for	ADP
ajst-30546	39	26	the	the	DET
ajst-30546	39	27	igt	igt	PROPN
ajst-30546	39	28	.	.	PUNCT
ajst-30546	40	1	the	the	DET
ajst-30546	40	2	igt	igt	PROPN
ajst-30546	40	3	module	module	NOUN
ajst-30546	40	4	,	,	PUNCT
ajst-30546	40	5	with	with	ADP
ajst-30546	40	6	its	its	PRON
ajst-30546	40	7	multi	multi	ADJ
ajst-30546	40	8	-	-	ADJ
ajst-30546	40	9	branch	branch	ADJ
ajst-30546	40	10	transformer	transformer	NOUN
ajst-30546	40	11	structure	structure	NOUN
ajst-30546	40	12	,	,	PUNCT
ajst-30546	40	13	processes	process	VERB
ajst-30546	40	14	the	the	DET
ajst-30546	40	15	highlights	highlight	NOUN
ajst-30546	40	16	,	,	PUNCT
ajst-30546	40	17	shadows	shadow	NOUN
ajst-30546	40	18	,	,	PUNCT
ajst-30546	40	19	and	and	CCONJ
ajst-30546	40	20	foggy	foggy	ADJ
ajst-30546	40	21	areas	area	NOUN
ajst-30546	40	22	in	in	ADP
ajst-30546	40	23	the	the	DET
ajst-30546	40	24	image	image	NOUN
ajst-30546	40	25	separately	separately	ADV
ajst-30546	40	26	,	,	PUNCT
ajst-30546	40	27	further	far	ADV
ajst-30546	40	28	enhancing	enhance	VERB
ajst-30546	40	29	the	the	DET
ajst-30546	40	30	details	detail	NOUN
ajst-30546	40	31	and	and	CCONJ
ajst-30546	40	32	small	small	ADJ
ajst-30546	40	33	target	target	NOUN
ajst-30546	40	34	information	information	NOUN
ajst-30546	40	35	.	.	PUNCT
ajst-30546	41	1	additionally	additionally	ADV
ajst-30546	41	2	,	,	PUNCT
ajst-30546	41	3	the	the	DET
ajst-30546	41	4	adaptive	adaptive	ADJ
ajst-30546	41	5	parameter	parameter	NOUN
ajst-30546	41	6	estimation	estimation	NOUN
ajst-30546	41	7	module	module	NOUN
ajst-30546	41	8	dynamically	dynamically	ADV
ajst-30546	41	9	adjusts	adjust	VERB
ajst-30546	41	10	the	the	DET
ajst-30546	41	11	dehazing	dehazing	NOUN
ajst-30546	41	12	strategy	strategy	NOUN
ajst-30546	41	13	,	,	PUNCT
ajst-30546	41	14	improving	improve	VERB
ajst-30546	41	15	the	the	DET
ajst-30546	41	16	detection	detection	NOUN
ajst-30546	41	17	robustness	robustness	NOUN
ajst-30546	41	18	of	of	ADP
ajst-30546	41	19	retinexformer	retinexformer	NOUN
ajst-30546	41	20	across	across	ADP
ajst-30546	41	21	different	different	ADJ
ajst-30546	41	22	foggy	foggy	ADJ
ajst-30546	41	23	scenarios[12	scenarios[12	NOUN
ajst-30546	41	24	]	]	X
ajst-30546	41	25	.	.	PUNCT
ajst-30546	42	1	2	2	X
ajst-30546	42	2	)	)	PUNCT
ajst-30546	42	3	under	under	ADP
ajst-30546	42	4	dense	dense	ADJ
ajst-30546	42	5	fog	fog	NOUN
ajst-30546	42	6	,	,	PUNCT
ajst-30546	42	7	identifying	identify	VERB
ajst-30546	42	8	vehicles	vehicle	NOUN
ajst-30546	42	9	and	and	CCONJ
ajst-30546	42	10	pedestrians	pedestrian	NOUN
ajst-30546	42	11	presents	present	VERB
ajst-30546	42	12	distinct	distinct	ADJ
ajst-30546	42	13	difficulties	difficulty	NOUN
ajst-30546	42	14	,	,	PUNCT
ajst-30546	42	15	including	include	VERB
ajst-30546	42	16	the	the	DET
ajst-30546	42	17	degradation	degradation	NOUN
ajst-30546	42	18	of	of	ADP
ajst-30546	42	19	spatial	spatial	ADJ
ajst-30546	42	20	details	detail	NOUN
ajst-30546	42	21	and	and	CCONJ
ajst-30546	42	22	alterations	alteration	NOUN
ajst-30546	42	23	in	in	ADP
ajst-30546	42	24	color	color	NOUN
ajst-30546	42	25	representation	representation	NOUN
ajst-30546	42	26	.	.	PUNCT
ajst-30546	43	1	by	by	ADP
ajst-30546	43	2	replacing	replace	VERB
ajst-30546	43	3	the	the	DET
ajst-30546	43	4	neck	neck	NOUN
ajst-30546	43	5	structure	structure	NOUN
ajst-30546	43	6	of	of	ADP
ajst-30546	43	7	yolov8n	yolov8n	PROPN
ajst-30546	43	8	with	with	ADP
ajst-30546	43	9	c2f_scconv[13	c2f_scconv[13	PROPN
ajst-30546	43	10	]	]	PUNCT
ajst-30546	43	11	,	,	PUNCT
ajst-30546	43	12	we	we	PRON
ajst-30546	43	13	can	can	AUX
ajst-30546	43	14	better	well	ADV
ajst-30546	43	15	extract	extract	VERB
ajst-30546	43	16	features	feature	NOUN
ajst-30546	43	17	of	of	ADP
ajst-30546	43	18	vehicles	vehicle	NOUN
ajst-30546	43	19	and	and	CCONJ
ajst-30546	43	20	pedestrians	pedestrian	NOUN
ajst-30546	43	21	from	from	ADP
ajst-30546	43	22	the	the	DET
ajst-30546	43	23	foggy	foggy	ADJ
ajst-30546	43	24	environment	environment	NOUN
ajst-30546	43	25	while	while	SCONJ
ajst-30546	43	26	reducing	reduce	VERB
ajst-30546	43	27	computational	computational	ADJ
ajst-30546	43	28	load	load	NOUN
ajst-30546	43	29	,	,	PUNCT
ajst-30546	43	30	thereby	thereby	ADV
ajst-30546	43	31	improving	improve	VERB
ajst-30546	43	32	detection	detection	NOUN
ajst-30546	43	33	accuracy	accuracy	NOUN
ajst-30546	43	34	and	and	CCONJ
ajst-30546	43	35	performance	performance	NOUN
ajst-30546	43	36	.	.	PUNCT
ajst-30546	44	1	3	3	X
ajst-30546	44	2	)	)	PUNCT
ajst-30546	44	3	the	the	DET
ajst-30546	44	4	attention	attention	NOUN
ajst-30546	44	5	mechanism	mechanism	NOUN
ajst-30546	44	6	is	be	AUX
ajst-30546	44	7	implemented	implement	VERB
ajst-30546	44	8	through	through	ADP
ajst-30546	44	9	the	the	DET
ajst-30546	44	10	use	use	NOUN
ajst-30546	44	11	of	of	ADP
ajst-30546	44	12	channel	channel	NOUN
ajst-30546	44	13	and	and	CCONJ
ajst-30546	44	14	spatial	spatial	ADJ
ajst-30546	44	15	attention	attention	NOUN
ajst-30546	44	16	modules	module	NOUN
ajst-30546	44	17	to	to	PART
ajst-30546	44	18	enhance	enhance	VERB
ajst-30546	44	19	the	the	DET
ajst-30546	44	20	features	feature	NOUN
ajst-30546	44	21	of	of	ADP
ajst-30546	44	22	targets	target	NOUN
ajst-30546	44	23	in	in	ADP
ajst-30546	44	24	foggy	foggy	ADJ
ajst-30546	44	25	environments	environment	NOUN
ajst-30546	44	26	.	.	PUNCT
ajst-30546	45	1	to	to	PART
ajst-30546	45	2	improve	improve	VERB
ajst-30546	45	3	the	the	DET
ajst-30546	45	4	information	information	NOUN
ajst-30546	45	5	representation	representation	NOUN
ajst-30546	45	6	capability	capability	NOUN
ajst-30546	45	7	of	of	ADP
ajst-30546	45	8	the	the	DET
ajst-30546	45	9	feature	feature	NOUN
ajst-30546	45	10	maps	map	NOUN
ajst-30546	45	11	and	and	CCONJ
ajst-30546	45	12	suppress	suppress	VERB
ajst-30546	45	13	the	the	DET
ajst-30546	45	14	interference	interference	NOUN
ajst-30546	45	15	from	from	ADP
ajst-30546	45	16	foggy	foggy	ADJ
ajst-30546	45	17	environment	environment	NOUN
ajst-30546	45	18	information	information	NOUN
ajst-30546	45	19	,	,	PUNCT
ajst-30546	45	20	this	this	DET
ajst-30546	45	21	study	study	NOUN
ajst-30546	45	22	introduces	introduce	VERB
ajst-30546	45	23	dual	dual	ADJ
ajst-30546	45	24	attention	attention	NOUN
ajst-30546	45	25	by	by	ADP
ajst-30546	45	26	drawing	draw	VERB
ajst-30546	45	27	on	on	ADP
ajst-30546	45	28	the	the	DET
ajst-30546	45	29	cbam[14	cbam[14	PROPN
ajst-30546	45	30	]	]	X
ajst-30546	45	31	(	(	PUNCT
ajst-30546	45	32	convolutional	convolutional	ADJ
ajst-30546	45	33	block	block	NOUN
ajst-30546	45	34	attention	attention	NOUN
ajst-30546	45	35	module	module	NOUN
ajst-30546	45	36	)	)	PUNCT
ajst-30546	45	37	.	.	PUNCT
ajst-30546	46	1	3.1	3.1	NUM
ajst-30546	46	2	.	.	PUNCT
ajst-30546	46	3	improved	improve	VERB
ajst-30546	46	4	retinex	retinex	ADJ
ajst-30546	46	5	theory	theory	NOUN
ajst-30546	46	6	for	for	ADP
ajst-30546	46	7	foggy	foggy	ADJ
ajst-30546	46	8	multi	multi	ADJ
ajst-30546	46	9	-	-	ADJ
ajst-30546	46	10	object	object	ADJ
ajst-30546	46	11	detection	detection	NOUN
ajst-30546	46	12	to	to	PART
ajst-30546	46	13	address	address	VERB
ajst-30546	46	14	the	the	DET
ajst-30546	46	15	issue	issue	NOUN
ajst-30546	46	16	of	of	ADP
ajst-30546	46	17	fog	fog	NOUN
ajst-30546	46	18	that	that	PRON
ajst-30546	46	19	diminishes	diminish	VERB
ajst-30546	46	20	image	image	NOUN
ajst-30546	46	21	contrast	contrast	NOUN
ajst-30546	46	22	,	,	PUNCT
ajst-30546	46	23	visibility	visibility	NOUN
ajst-30546	46	24	,	,	PUNCT
ajst-30546	46	25	and	and	CCONJ
ajst-30546	46	26	overall	overall	ADJ
ajst-30546	46	27	sharpness	sharpness	NOUN
ajst-30546	46	28	,	,	PUNCT
ajst-30546	46	29	the	the	DET
ajst-30546	46	30	retinex	retinex	ADJ
ajst-30546	46	31	theory	theory	NOUN
ajst-30546	46	32	has	have	AUX
ajst-30546	46	33	been	be	AUX
ajst-30546	46	34	introduced	introduce	VERB
ajst-30546	46	35	.	.	PUNCT
ajst-30546	47	1	this	this	DET
ajst-30546	47	2	approach	approach	NOUN
ajst-30546	47	3	simulates	simulate	VERB
ajst-30546	47	4	the	the	DET
ajst-30546	47	5	human	human	ADJ
ajst-30546	47	6	visual	visual	ADJ
ajst-30546	47	7	system	system	NOUN
ajst-30546	47	8	's	's	PART
ajst-30546	47	9	capability	capability	NOUN
ajst-30546	47	10	to	to	PART
ajst-30546	47	11	distinguish	distinguish	VERB
ajst-30546	47	12	between	between	ADP
ajst-30546	47	13	reflectance	reflectance	NOUN
ajst-30546	47	14	(	(	PUNCT
ajst-30546	47	15	the	the	DET
ajst-30546	47	16	inherent	inherent	ADJ
ajst-30546	47	17	characteristics	characteristic	NOUN
ajst-30546	47	18	of	of	ADP
ajst-30546	47	19	a	a	DET
ajst-30546	47	20	scene	scene	NOUN
ajst-30546	47	21	)	)	PUNCT
ajst-30546	47	22	and	and	CCONJ
ajst-30546	47	23	illumination	illumination	NOUN
ajst-30546	47	24	(	(	PUNCT
ajst-30546	47	25	the	the	DET
ajst-30546	47	26	fluctuating	fluctuate	VERB
ajst-30546	47	27	lighting	lighting	NOUN
ajst-30546	47	28	conditions	condition	NOUN
ajst-30546	47	29	in	in	ADP
ajst-30546	47	30	the	the	DET
ajst-30546	47	31	surrounding	surround	VERB
ajst-30546	47	32	environment	environment	NOUN
ajst-30546	47	33	)	)	PUNCT
ajst-30546	47	34	.	.	PUNCT
ajst-30546	48	1	by	by	ADP
ajst-30546	48	2	applying	apply	VERB
ajst-30546	48	3	retinex	retinex	ADJ
ajst-30546	48	4	theory	theory	NOUN
ajst-30546	48	5	to	to	ADP
ajst-30546	48	6	foggy	foggy	ADJ
ajst-30546	48	7	images	image	NOUN
ajst-30546	48	8	,	,	PUNCT
ajst-30546	48	9	one	one	PRON
ajst-30546	48	10	can	can	AUX
ajst-30546	48	11	enhance	enhance	VERB
ajst-30546	48	12	the	the	DET
ajst-30546	48	13	visibility	visibility	NOUN
ajst-30546	48	14	of	of	ADP
ajst-30546	48	15	objects	object	NOUN
ajst-30546	48	16	by	by	ADP
ajst-30546	48	17	improving	improve	VERB
ajst-30546	48	18	the	the	DET
ajst-30546	48	19	contrast	contrast	NOUN
ajst-30546	48	20	and	and	CCONJ
ajst-30546	48	21	visibility	visibility	NOUN
ajst-30546	48	22	of	of	ADP
ajst-30546	48	23	important	important	ADJ
ajst-30546	48	24	features	feature	NOUN
ajst-30546	48	25	while	while	SCONJ
ajst-30546	48	26	suppressing	suppress	VERB
ajst-30546	48	27	the	the	DET
ajst-30546	48	28	foggy	foggy	ADJ
ajst-30546	48	29	effects[15].the	effects[15].the	PROPN
ajst-30546	48	30	following	follow	VERB
ajst-30546	48	31	are	be	AUX
ajst-30546	48	32	detailed	detailed	ADJ
ajst-30546	48	33	improvements	improvement	NOUN
ajst-30546	48	34	based	base	VERB
ajst-30546	48	35	on	on	ADP
ajst-30546	48	36	the	the	DET
ajst-30546	48	37	retinex	retinex	ADJ
ajst-30546	48	38	theory	theory	NOUN
ajst-30546	48	39	:	:	PUNCT
ajst-30546	48	40	(	(	PUNCT
ajst-30546	48	41	1	1	X
ajst-30546	48	42	)	)	PUNCT
ajst-30546	48	43	adaptive	adaptive	ADJ
ajst-30546	48	44	parameter	parameter	NOUN
ajst-30546	48	45	estimation	estimation	NOUN
ajst-30546	48	46	in	in	ADP
ajst-30546	48	47	traditional	traditional	ADJ
ajst-30546	48	48	retinex	retinex	ADJ
ajst-30546	48	49	theory	theory	NOUN
ajst-30546	48	50	,	,	PUNCT
ajst-30546	48	51	fixed	fix	VERB
ajst-30546	48	52	parameters	parameter	NOUN
ajst-30546	48	53	are	be	AUX
ajst-30546	48	54	used	use	VERB
ajst-30546	48	55	for	for	ADP
ajst-30546	48	56	separating	separate	VERB
ajst-30546	48	57	reflectance	reflectance	NOUN
ajst-30546	48	58	and	and	CCONJ
ajst-30546	48	59	illumination	illumination	NOUN
ajst-30546	48	60	.	.	PUNCT
ajst-30546	49	1	however	however	ADV
ajst-30546	49	2	,	,	PUNCT
ajst-30546	49	3	this	this	DET
ajst-30546	49	4	approach	approach	NOUN
ajst-30546	49	5	does	do	AUX
ajst-30546	49	6	not	not	PART
ajst-30546	49	7	perform	perform	VERB
ajst-30546	49	8	well	well	ADV
ajst-30546	49	9	under	under	ADP
ajst-30546	49	10	varying	vary	VERB
ajst-30546	49	11	fog	fog	PROPN
ajst-30546	49	12	intensity	intensity	NOUN
ajst-30546	49	13	,	,	PUNCT
ajst-30546	49	14	lighting	lighting	NOUN
ajst-30546	49	15	conditions	condition	NOUN
ajst-30546	49	16	,	,	PUNCT
ajst-30546	49	17	or	or	CCONJ
ajst-30546	49	18	different	different	ADJ
ajst-30546	49	19	object	object	NOUN
ajst-30546	49	20	types	type	NOUN
ajst-30546	49	21	.	.	PUNCT
ajst-30546	50	1	to	to	PART
ajst-30546	50	2	overcome	overcome	VERB
ajst-30546	50	3	this	this	PRON
ajst-30546	50	4	,	,	PUNCT
ajst-30546	50	5	an	an	DET
ajst-30546	50	6	adaptive	adaptive	ADJ
ajst-30546	50	7	parameter	parameter	NOUN
ajst-30546	50	8	estimation	estimation	NOUN
ajst-30546	50	9	module	module	NOUN
ajst-30546	50	10	is	be	AUX
ajst-30546	50	11	introduced	introduce	VERB
ajst-30546	50	12	,	,	PUNCT
ajst-30546	50	13	which	which	PRON
ajst-30546	50	14	dynamically	dynamically	ADV
ajst-30546	50	15	adjusts	adjust	VERB
ajst-30546	50	16	the	the	DET
ajst-30546	50	17	dehazing	dehazing	NOUN
ajst-30546	50	18	and	and	CCONJ
ajst-30546	50	19	image	image	NOUN
ajst-30546	50	20	enhancement	enhancement	NOUN
ajst-30546	50	21	strategies	strategy	NOUN
ajst-30546	50	22	.	.	PUNCT
ajst-30546	51	1	(	(	PUNCT
ajst-30546	51	2	2	2	X
ajst-30546	51	3	)	)	PUNCT
ajst-30546	51	4	illumination	illumination	NOUN
ajst-30546	51	5	guided	guide	VERB
ajst-30546	51	6	attention	attention	NOUN
ajst-30546	51	7	blocks	block	NOUN
ajst-30546	51	8	to	to	PART
ajst-30546	51	9	better	well	ADV
ajst-30546	51	10	handle	handle	VERB
ajst-30546	51	11	varying	vary	VERB
ajst-30546	51	12	light	light	ADJ
ajst-30546	51	13	conditions	condition	NOUN
ajst-30546	51	14	in	in	ADP
ajst-30546	51	15	foggy	foggy	ADJ
ajst-30546	51	16	environments	environment	NOUN
ajst-30546	51	17	,	,	PUNCT
ajst-30546	51	18	the	the	DET
ajst-30546	51	19	model	model	NOUN
ajst-30546	51	20	incorporates	incorporate	VERB
ajst-30546	51	21	illumination	illumination	NOUN
ajst-30546	51	22	guided	guide	VERB
ajst-30546	51	23	187	187	NUM
ajst-30546	51	24	attention	attention	NOUN
ajst-30546	51	25	blocks[16	blocks[16	NOUN
ajst-30546	51	26	]	]	PUNCT
ajst-30546	51	27	.	.	PUNCT
ajst-30546	52	1	these	these	DET
ajst-30546	52	2	attention	attention	NOUN
ajst-30546	52	3	blocks	block	NOUN
ajst-30546	52	4	help	help	VERB
ajst-30546	52	5	guide	guide	VERB
ajst-30546	52	6	the	the	DET
ajst-30546	52	7	network	network	NOUN
ajst-30546	52	8	's	's	PART
ajst-30546	52	9	focus	focus	NOUN
ajst-30546	52	10	towards	towards	ADP
ajst-30546	52	11	regions	region	NOUN
ajst-30546	52	12	with	with	ADP
ajst-30546	52	13	significant	significant	ADJ
ajst-30546	52	14	illumination	illumination	NOUN
ajst-30546	52	15	variations	variation	NOUN
ajst-30546	52	16	,	,	PUNCT
ajst-30546	52	17	effectively	effectively	ADV
ajst-30546	52	18	capturing	capture	VERB
ajst-30546	52	19	features	feature	NOUN
ajst-30546	52	20	that	that	PRON
ajst-30546	52	21	are	be	AUX
ajst-30546	52	22	crucial	crucial	ADJ
ajst-30546	52	23	for	for	ADP
ajst-30546	52	24	object	object	NOUN
ajst-30546	52	25	recognition	recognition	NOUN
ajst-30546	52	26	.	.	PUNCT
ajst-30546	53	1	by	by	ADP
ajst-30546	53	2	using	use	VERB
ajst-30546	53	3	the	the	DET
ajst-30546	53	4	illumination	illumination	NOUN
ajst-30546	53	5	information	information	NOUN
ajst-30546	53	6	as	as	ADP
ajst-30546	53	7	a	a	DET
ajst-30546	53	8	guide	guide	NOUN
ajst-30546	53	9	,	,	PUNCT
ajst-30546	53	10	the	the	DET
ajst-30546	53	11	model	model	NOUN
ajst-30546	53	12	can	can	AUX
ajst-30546	53	13	enhance	enhance	VERB
ajst-30546	53	14	the	the	DET
ajst-30546	53	15	recovery	recovery	NOUN
ajst-30546	53	16	of	of	ADP
ajst-30546	53	17	details	detail	NOUN
ajst-30546	53	18	in	in	ADP
ajst-30546	53	19	shadowed	shadow	VERB
ajst-30546	53	20	or	or	CCONJ
ajst-30546	53	21	overexposed	overexposed	ADJ
ajst-30546	53	22	regions	region	NOUN
ajst-30546	53	23	,	,	PUNCT
ajst-30546	53	24	improving	improve	VERB
ajst-30546	53	25	the	the	DET
ajst-30546	53	26	overall	overall	ADJ
ajst-30546	53	27	detection	detection	NOUN
ajst-30546	53	28	performance	performance	NOUN
ajst-30546	53	29	.	.	PUNCT
ajst-30546	54	1	(	(	PUNCT
ajst-30546	54	2	3	3	X
ajst-30546	54	3	)	)	PUNCT
ajst-30546	54	4	multi	multi	ADJ
ajst-30546	54	5	-	-	ADJ
ajst-30546	54	6	branch	branch	ADJ
ajst-30546	54	7	transformer	transformer	NOUN
ajst-30546	54	8	integration	integration	NOUN
ajst-30546	54	9	a	a	DET
ajst-30546	54	10	multi	multi	ADJ
ajst-30546	54	11	-	-	ADJ
ajst-30546	54	12	branch	branch	ADJ
ajst-30546	54	13	transformer	transformer	NOUN
ajst-30546	54	14	architecture	architecture	NOUN
ajst-30546	54	15	is	be	AUX
ajst-30546	54	16	employed	employ	VERB
ajst-30546	54	17	to	to	PART
ajst-30546	54	18	further	far	ADV
ajst-30546	54	19	enhance	enhance	VERB
ajst-30546	54	20	feature	feature	NOUN
ajst-30546	54	21	extraction	extraction	NOUN
ajst-30546	54	22	.	.	PUNCT
ajst-30546	55	1	each	each	DET
ajst-30546	55	2	branch	branch	NOUN
ajst-30546	55	3	of	of	ADP
ajst-30546	55	4	the	the	DET
ajst-30546	55	5	transformer	transformer	NOUN
ajst-30546	55	6	focuses	focus	VERB
ajst-30546	55	7	on	on	ADP
ajst-30546	55	8	different	different	ADJ
ajst-30546	55	9	aspects	aspect	NOUN
ajst-30546	55	10	of	of	ADP
ajst-30546	55	11	the	the	DET
ajst-30546	55	12	image	image	NOUN
ajst-30546	55	13	,	,	PUNCT
ajst-30546	55	14	such	such	ADJ
ajst-30546	55	15	as	as	ADP
ajst-30546	55	16	spatial	spatial	ADJ
ajst-30546	55	17	information	information	NOUN
ajst-30546	55	18	,	,	PUNCT
ajst-30546	55	19	texture	texture	NOUN
ajst-30546	55	20	,	,	PUNCT
ajst-30546	55	21	and	and	CCONJ
ajst-30546	55	22	color	color	NOUN
ajst-30546	55	23	contrast[17	contrast[17	PROPN
ajst-30546	55	24	]	]	PUNCT
ajst-30546	55	25	.	.	PUNCT
ajst-30546	56	1	by	by	ADP
ajst-30546	56	2	applying	apply	VERB
ajst-30546	56	3	multiple	multiple	ADJ
ajst-30546	56	4	branches	branch	NOUN
ajst-30546	56	5	in	in	ADP
ajst-30546	56	6	parallel	parallel	NOUN
ajst-30546	56	7	,	,	PUNCT
ajst-30546	56	8	the	the	DET
ajst-30546	56	9	model	model	NOUN
ajst-30546	56	10	is	be	AUX
ajst-30546	56	11	capable	capable	ADJ
ajst-30546	56	12	of	of	ADP
ajst-30546	56	13	processing	process	VERB
ajst-30546	56	14	different	different	ADJ
ajst-30546	56	15	scales	scale	NOUN
ajst-30546	56	16	and	and	CCONJ
ajst-30546	56	17	contextual	contextual	ADJ
ajst-30546	56	18	information	information	NOUN
ajst-30546	56	19	simultaneously	simultaneously	ADV
ajst-30546	56	20	,	,	PUNCT
ajst-30546	56	21	making	make	VERB
ajst-30546	56	22	it	it	PRON
ajst-30546	56	23	more	more	ADV
ajst-30546	56	24	robust	robust	ADJ
ajst-30546	56	25	to	to	ADP
ajst-30546	56	26	occlusion	occlusion	NOUN
ajst-30546	56	27	,	,	PUNCT
ajst-30546	56	28	overlapping	overlap	VERB
ajst-30546	56	29	objects	object	NOUN
ajst-30546	56	30	,	,	PUNCT
ajst-30546	56	31	and	and	CCONJ
ajst-30546	56	32	varying	vary	VERB
ajst-30546	56	33	fog	fog	PROPN
ajst-30546	56	34	intensity	intensity	NOUN
ajst-30546	56	35	.	.	PUNCT
ajst-30546	57	1	figure	figure	NOUN
ajst-30546	57	2	2	2	NUM
ajst-30546	57	3	.	.	PUNCT
ajst-30546	58	1	structure	structure	NOUN
ajst-30546	58	2	of	of	ADP
ajst-30546	58	3	the	the	DET
ajst-30546	58	4	retinexformer	retinexformer	NOUN
ajst-30546	58	5	improvement	improvement	NOUN
ajst-30546	58	6	module	module	NOUN
ajst-30546	58	7	3.2	3.2	NUM
ajst-30546	58	8	.	.	PUNCT
ajst-30546	59	1	design	design	NOUN
ajst-30546	59	2	of	of	ADP
ajst-30546	59	3	the	the	DET
ajst-30546	59	4	c2f	c2f	NOUN
ajst-30546	59	5	-	-	PUNCT
ajst-30546	59	6	scconv	scconv	NOUN
ajst-30546	59	7	module	module	NOUN
ajst-30546	59	8	in	in	ADP
ajst-30546	59	9	order	order	NOUN
ajst-30546	59	10	to	to	PART
ajst-30546	59	11	solve	solve	VERB
ajst-30546	59	12	the	the	DET
ajst-30546	59	13	color	color	NOUN
ajst-30546	59	14	distortion	distortion	NOUN
ajst-30546	59	15	caused	cause	VERB
ajst-30546	59	16	by	by	ADP
ajst-30546	59	17	the	the	DET
ajst-30546	59	18	scattering	scattering	NOUN
ajst-30546	59	19	and	and	CCONJ
ajst-30546	59	20	attenuation	attenuation	NOUN
ajst-30546	59	21	of	of	ADP
ajst-30546	59	22	light	light	NOUN
ajst-30546	59	23	in	in	ADP
ajst-30546	59	24	the	the	DET
ajst-30546	59	25	atmosphere	atmosphere	NOUN
ajst-30546	59	26	and	and	CCONJ
ajst-30546	59	27	the	the	DET
ajst-30546	59	28	local	local	ADJ
ajst-30546	59	29	information	information	NOUN
ajst-30546	59	30	in	in	ADP
ajst-30546	59	31	the	the	DET
ajst-30546	59	32	target	target	NOUN
ajst-30546	59	33	,	,	PUNCT
ajst-30546	59	34	the	the	DET
ajst-30546	59	35	yolov8	yolov8	NOUN
ajst-30546	59	36	neck	neck	NOUN
ajst-30546	59	37	structure	structure	NOUN
ajst-30546	59	38	has	have	AUX
ajst-30546	59	39	been	be	AUX
ajst-30546	59	40	modified	modify	VERB
ajst-30546	59	41	to	to	PART
ajst-30546	59	42	incorporate	incorporate	VERB
ajst-30546	59	43	c2f_scconv	c2f_scconv	NOUN
ajst-30546	59	44	.	.	PUNCT
ajst-30546	60	1	this	this	DET
ajst-30546	60	2	modification	modification	NOUN
ajst-30546	60	3	enhances	enhance	VERB
ajst-30546	60	4	the	the	DET
ajst-30546	60	5	model	model	NOUN
ajst-30546	60	6	’s	’s	PART
ajst-30546	60	7	ability	ability	NOUN
ajst-30546	60	8	to	to	PART
ajst-30546	60	9	extract	extract	VERB
ajst-30546	60	10	meaningful	meaningful	ADJ
ajst-30546	60	11	features	feature	NOUN
ajst-30546	60	12	from	from	ADP
ajst-30546	60	13	the	the	DET
ajst-30546	60	14	foggy	foggy	ADJ
ajst-30546	60	15	environment	environment	NOUN
ajst-30546	60	16	while	while	SCONJ
ajst-30546	60	17	also	also	ADV
ajst-30546	60	18	improving	improve	VERB
ajst-30546	60	19	computational	computational	ADJ
ajst-30546	60	20	efficiency	efficiency	NOUN
ajst-30546	60	21	,	,	PUNCT
ajst-30546	60	22	ultimately	ultimately	ADV
ajst-30546	60	23	leading	lead	VERB
ajst-30546	60	24	to	to	ADP
ajst-30546	60	25	better	well	ADJ
ajst-30546	60	26	detection	detection	NOUN
ajst-30546	60	27	accuracy	accuracy	NOUN
ajst-30546	60	28	and	and	CCONJ
ajst-30546	60	29	performance	performance	NOUN
ajst-30546	60	30	.	.	PUNCT
ajst-30546	61	1	the	the	DET
ajst-30546	61	2	c2f	c2f	NOUN
ajst-30546	61	3	module	module	NOUN
ajst-30546	61	4	ensures	ensure	VERB
ajst-30546	61	5	that	that	SCONJ
ajst-30546	61	6	attention	attention	NOUN
ajst-30546	61	7	is	be	AUX
ajst-30546	61	8	paid	pay	VERB
ajst-30546	61	9	to	to	ADP
ajst-30546	61	10	multiple	multiple	ADJ
ajst-30546	61	11	scales	scale	NOUN
ajst-30546	61	12	simultaneously	simultaneously	ADV
ajst-30546	61	13	,	,	PUNCT
ajst-30546	61	14	which	which	PRON
ajst-30546	61	15	is	be	AUX
ajst-30546	61	16	critical	critical	ADJ
ajst-30546	61	17	when	when	SCONJ
ajst-30546	61	18	dealing	deal	VERB
ajst-30546	61	19	with	with	ADP
ajst-30546	61	20	foggy	foggy	ADJ
ajst-30546	61	21	environments	environment	NOUN
ajst-30546	61	22	where	where	SCONJ
ajst-30546	61	23	objects	object	NOUN
ajst-30546	61	24	may	may	AUX
ajst-30546	61	25	appear	appear	VERB
ajst-30546	61	26	blurred	blurred	ADJ
ajst-30546	61	27	or	or	CCONJ
ajst-30546	61	28	distorted	distort	VERB
ajst-30546	61	29	at	at	ADP
ajst-30546	61	30	different	different	ADJ
ajst-30546	61	31	levels[18].the	levels[18].the	PRON
ajst-30546	61	32	scconv	scconv	NOUN
ajst-30546	61	33	module	module	NOUN
ajst-30546	61	34	allows	allow	VERB
ajst-30546	61	35	the	the	DET
ajst-30546	61	36	neck	neck	NOUN
ajst-30546	61	37	to	to	PART
ajst-30546	61	38	adapt	adapt	VERB
ajst-30546	61	39	dynamically	dynamically	ADV
ajst-30546	61	40	to	to	ADP
ajst-30546	61	41	the	the	DET
ajst-30546	61	42	conditions	condition	NOUN
ajst-30546	61	43	of	of	ADP
ajst-30546	61	44	the	the	DET
ajst-30546	61	45	input	input	NOUN
ajst-30546	61	46	image	image	NOUN
ajst-30546	61	47	,	,	PUNCT
ajst-30546	61	48	ensuring	ensure	VERB
ajst-30546	61	49	that	that	SCONJ
ajst-30546	61	50	the	the	DET
ajst-30546	61	51	features	feature	NOUN
ajst-30546	61	52	extracted	extract	VERB
ajst-30546	61	53	from	from	ADP
ajst-30546	61	54	foggy	foggy	ADJ
ajst-30546	61	55	areas	area	NOUN
ajst-30546	61	56	are	be	AUX
ajst-30546	61	57	still	still	ADV
ajst-30546	61	58	meaningful	meaningful	ADJ
ajst-30546	61	59	and	and	CCONJ
ajst-30546	61	60	relevant	relevant	ADJ
ajst-30546	61	61	for	for	ADP
ajst-30546	61	62	detection.with	detection.with	ADP
ajst-30546	61	63	this	this	DET
ajst-30546	61	64	modified	modify	VERB
ajst-30546	61	65	neck	neck	NOUN
ajst-30546	61	66	structure	structure	NOUN
ajst-30546	61	67	,	,	PUNCT
ajst-30546	61	68	yolov8	yolov8	PROPN
ajst-30546	61	69	is	be	AUX
ajst-30546	61	70	capable	capable	ADJ
ajst-30546	61	71	of	of	ADP
ajst-30546	61	72	detecting	detect	VERB
ajst-30546	61	73	vehicles	vehicle	NOUN
ajst-30546	61	74	and	and	CCONJ
ajst-30546	61	75	pedestrians	pedestrian	NOUN
ajst-30546	61	76	with	with	ADP
ajst-30546	61	77	greater	great	ADJ
ajst-30546	61	78	precision	precision	NOUN
ajst-30546	61	79	,	,	PUNCT
ajst-30546	61	80	even	even	ADV
ajst-30546	61	81	in	in	ADP
ajst-30546	61	82	difficult	difficult	ADJ
ajst-30546	61	83	foggy	foggy	ADJ
ajst-30546	61	84	environments	environment	NOUN
ajst-30546	61	85	,	,	PUNCT
ajst-30546	61	86	while	while	SCONJ
ajst-30546	61	87	simultaneously	simultaneously	ADV
ajst-30546	61	88	minimizing	minimize	VERB
ajst-30546	61	89	the	the	DET
ajst-30546	61	90	likelihood	likelihood	NOUN
ajst-30546	61	91	of	of	ADP
ajst-30546	61	92	overfitting	overfitte	VERB
ajst-30546	61	93	and	and	CCONJ
ajst-30546	61	94	enhancing	enhance	VERB
ajst-30546	61	95	computational	computational	ADJ
ajst-30546	61	96	performance	performance	NOUN
ajst-30546	61	97	.	.	PUNCT
ajst-30546	62	1	figure	figure	NOUN
ajst-30546	62	2	3	3	NUM
ajst-30546	62	3	.	.	PUNCT
ajst-30546	62	4	structure	structure	NOUN
ajst-30546	62	5	of	of	ADP
ajst-30546	62	6	the	the	DET
ajst-30546	62	7	c2f	c2f	NOUN
ajst-30546	62	8	-	-	PUNCT
ajst-30546	62	9	scconv	scconv	NOUN
ajst-30546	62	10	module	module	NOUN
ajst-30546	62	11	188	188	NUM
ajst-30546	62	12	3.3	3.3	NUM
ajst-30546	62	13	.	.	PUNCT
ajst-30546	63	1	cbam	cbam	NOUN
ajst-30546	63	2	attention	attention	NOUN
ajst-30546	63	3	mechanism	mechanism	NOUN
ajst-30546	63	4	to	to	PART
ajst-30546	63	5	improve	improve	VERB
ajst-30546	63	6	the	the	DET
ajst-30546	63	7	information	information	NOUN
ajst-30546	63	8	representation	representation	NOUN
ajst-30546	63	9	capability	capability	NOUN
ajst-30546	63	10	of	of	ADP
ajst-30546	63	11	the	the	DET
ajst-30546	63	12	feature	feature	NOUN
ajst-30546	63	13	maps	map	NOUN
ajst-30546	63	14	and	and	CCONJ
ajst-30546	63	15	suppress	suppress	VERB
ajst-30546	63	16	the	the	DET
ajst-30546	63	17	interference	interference	NOUN
ajst-30546	63	18	from	from	ADP
ajst-30546	63	19	foggy	foggy	ADJ
ajst-30546	63	20	environment	environment	NOUN
ajst-30546	63	21	information	information	NOUN
ajst-30546	64	1	,	,	PUNCT
ajst-30546	64	2	this	this	DET
ajst-30546	64	3	study	study	NOUN
ajst-30546	64	4	introduces	introduce	VERB
ajst-30546	64	5	dual	dual	ADJ
ajst-30546	64	6	attention	attention	NOUN
ajst-30546	64	7	by	by	ADP
ajst-30546	64	8	drawing	draw	VERB
ajst-30546	64	9	on	on	ADP
ajst-30546	64	10	the	the	DET
ajst-30546	64	11	cbam	cbam	NOUN
ajst-30546	64	12	module	module	NOUN
ajst-30546	64	13	.	.	PUNCT
ajst-30546	65	1	the	the	DET
ajst-30546	65	2	attention	attention	NOUN
ajst-30546	65	3	mechanism	mechanism	NOUN
ajst-30546	65	4	,	,	PUNCT
ajst-30546	65	5	consisting	consist	VERB
ajst-30546	65	6	of	of	ADP
ajst-30546	65	7	both	both	DET
ajst-30546	65	8	channel	channel	NOUN
ajst-30546	65	9	and	and	CCONJ
ajst-30546	65	10	spatial	spatial	ADJ
ajst-30546	65	11	attention	attention	NOUN
ajst-30546	65	12	modules	module	NOUN
ajst-30546	65	13	,	,	PUNCT
ajst-30546	65	14	enhances	enhance	VERB
ajst-30546	65	15	target	target	NOUN
ajst-30546	65	16	features	feature	NOUN
ajst-30546	65	17	effectively	effectively	ADV
ajst-30546	65	18	.	.	PUNCT
ajst-30546	66	1	following	follow	VERB
ajst-30546	66	2	a	a	DET
ajst-30546	66	3	structure	structure	NOUN
ajst-30546	66	4	to	to	PART
ajst-30546	66	5	retinexformer[19	retinexformer[19	VERB
ajst-30546	66	6	]	]	PUNCT
ajst-30546	66	7	,	,	PUNCT
ajst-30546	66	8	the	the	DET
ajst-30546	66	9	cbam	cbam	NOUN
ajst-30546	66	10	module	module	NOUN
ajst-30546	66	11	is	be	AUX
ajst-30546	66	12	applied	apply	VERB
ajst-30546	66	13	after	after	SCONJ
ajst-30546	66	14	the	the	DET
ajst-30546	66	15	convolution	convolution	NOUN
ajst-30546	66	16	layers	layer	NOUN
ajst-30546	66	17	to	to	PART
ajst-30546	66	18	enhance	enhance	VERB
ajst-30546	66	19	small	small	ADJ
ajst-30546	66	20	target	target	NOUN
ajst-30546	66	21	features	feature	NOUN
ajst-30546	66	22	,	,	PUNCT
ajst-30546	66	23	enhancing	enhance	VERB
ajst-30546	66	24	the	the	DET
ajst-30546	66	25	model	model	NOUN
ajst-30546	66	26	's	's	PART
ajst-30546	66	27	capacity	capacity	NOUN
ajst-30546	66	28	to	to	PART
ajst-30546	66	29	identify	identify	VERB
ajst-30546	66	30	objects	object	NOUN
ajst-30546	66	31	in	in	ADP
ajst-30546	66	32	foggy	foggy	ADJ
ajst-30546	66	33	conditions	condition	NOUN
ajst-30546	66	34	.	.	PUNCT
ajst-30546	67	1	figure	figure	VERB
ajst-30546	67	2	4	4	NUM
ajst-30546	67	3	.	.	PUNCT
ajst-30546	68	1	structure	structure	NOUN
ajst-30546	68	2	of	of	ADP
ajst-30546	68	3	the	the	DET
ajst-30546	68	4	cbam	cbam	NOUN
ajst-30546	68	5	module	module	NOUN
ajst-30546	68	6	4	4	NUM
ajst-30546	68	7	.	.	PUNCT
ajst-30546	68	8	experiments	experiment	NOUN
ajst-30546	68	9	the	the	DET
ajst-30546	68	10	rtts	rtt	NOUN
ajst-30546	68	11	dataset	dataset	VERB
ajst-30546	68	12	employed	employ	VERB
ajst-30546	68	13	in	in	ADP
ajst-30546	68	14	this	this	DET
ajst-30546	68	15	research	research	NOUN
ajst-30546	68	16	is	be	AUX
ajst-30546	68	17	based	base	VERB
ajst-30546	68	18	on	on	ADP
ajst-30546	68	19	the	the	DET
ajst-30546	68	20	reside[20	reside[20	NOUN
ajst-30546	68	21	]	]	PUNCT
ajst-30546	68	22	dataset	dataset	PROPN
ajst-30546	68	23	.	.	PUNCT
ajst-30546	69	1	which	which	PRON
ajst-30546	69	2	is	be	AUX
ajst-30546	69	3	designed	design	VERB
ajst-30546	69	4	for	for	ADP
ajst-30546	69	5	foggy	foggy	ADJ
ajst-30546	69	6	image	image	NOUN
ajst-30546	69	7	processing	processing	NOUN
ajst-30546	69	8	and	and	CCONJ
ajst-30546	69	9	computer	computer	NOUN
ajst-30546	69	10	vision	vision	NOUN
ajst-30546	69	11	research	research	NOUN
ajst-30546	69	12	.	.	PUNCT
ajst-30546	70	1	it	it	PRON
ajst-30546	70	2	contains	contain	VERB
ajst-30546	70	3	4,322	4,322	NUM
ajst-30546	70	4	real	real	ADV
ajst-30546	70	5	foggy	foggy	ADJ
ajst-30546	70	6	images	image	NOUN
ajst-30546	70	7	,	,	PUNCT
ajst-30546	70	8	serving	serve	VERB
ajst-30546	70	9	as	as	ADP
ajst-30546	70	10	the	the	DET
ajst-30546	70	11	training	training	NOUN
ajst-30546	70	12	set	set	NOUN
ajst-30546	70	13	for	for	ADP
ajst-30546	70	14	the	the	DET
ajst-30546	70	15	project	project	NOUN
ajst-30546	70	16	.	.	PUNCT
ajst-30546	71	1	an	an	DET
ajst-30546	71	2	additional	additional	ADJ
ajst-30546	71	3	100	100	NUM
ajst-30546	71	4	real	real	ADJ
ajst-30546	71	5	scene	scene	NOUN
ajst-30546	71	6	images	image	NOUN
ajst-30546	71	7	are	be	AUX
ajst-30546	71	8	used	use	VERB
ajst-30546	71	9	as	as	ADP
ajst-30546	71	10	the	the	DET
ajst-30546	71	11	validation	validation	NOUN
ajst-30546	71	12	set	set	NOUN
ajst-30546	71	13	,	,	PUNCT
ajst-30546	71	14	covering	cover	VERB
ajst-30546	71	15	a	a	DET
ajst-30546	71	16	variety	variety	NOUN
ajst-30546	71	17	of	of	ADP
ajst-30546	71	18	foggy	foggy	ADJ
ajst-30546	71	19	conditions	condition	NOUN
ajst-30546	71	20	,	,	PUNCT
ajst-30546	71	21	which	which	PRON
ajst-30546	71	22	helps	help	VERB
ajst-30546	71	23	to	to	PART
ajst-30546	71	24	train	train	VERB
ajst-30546	71	25	and	and	CCONJ
ajst-30546	71	26	test	test	VERB
ajst-30546	71	27	the	the	DET
ajst-30546	71	28	model	model	NOUN
ajst-30546	71	29	's	's	PART
ajst-30546	71	30	performance	performance	NOUN
ajst-30546	71	31	under	under	ADP
ajst-30546	71	32	different	different	ADJ
ajst-30546	71	33	foggy	foggy	ADJ
ajst-30546	71	34	environments	environment	NOUN
ajst-30546	71	35	.	.	PUNCT
ajst-30546	72	1	figure	figure	NOUN
ajst-30546	72	2	5	5	NUM
ajst-30546	72	3	.	.	PUNCT
ajst-30546	72	4	dataset	dataset	PROPN
ajst-30546	72	5	instance	instance	PROPN
ajst-30546	72	6	photo	photo	PROPN
ajst-30546	72	7	4.1	4.1	NUM
ajst-30546	72	8	.	.	PUNCT
ajst-30546	73	1	evaluation	evaluation	NOUN
ajst-30546	73	2	metrics	metric	NOUN
ajst-30546	73	3	in	in	ADP
ajst-30546	73	4	this	this	DET
ajst-30546	73	5	study	study	NOUN
ajst-30546	73	6	,	,	PUNCT
ajst-30546	73	7	the	the	DET
ajst-30546	73	8	performance	performance	NOUN
ajst-30546	73	9	of	of	ADP
ajst-30546	73	10	the	the	DET
ajst-30546	73	11	model	model	NOUN
ajst-30546	73	12	is	be	AUX
ajst-30546	73	13	evaluated	evaluate	VERB
ajst-30546	73	14	using	use	VERB
ajst-30546	73	15	the	the	DET
ajst-30546	73	16	widely	widely	ADV
ajst-30546	73	17	recognized	recognize	VERB
ajst-30546	73	18	metric	metric	NOUN
ajst-30546	73	19	of	of	ADP
ajst-30546	73	20	mean	mean	ADJ
ajst-30546	73	21	average	average	ADJ
ajst-30546	73	22	precision	precision	NOUN
ajst-30546	73	23	(	(	PUNCT
ajst-30546	73	24	map)[21	map)[21	X
ajst-30546	73	25	]	]	X
ajst-30546	73	26	,	,	PUNCT
ajst-30546	73	27	which	which	PRON
ajst-30546	73	28	is	be	AUX
ajst-30546	73	29	commonly	commonly	ADV
ajst-30546	73	30	employed	employ	VERB
ajst-30546	73	31	in	in	ADP
ajst-30546	73	32	object	object	NOUN
ajst-30546	73	33	detection	detection	NOUN
ajst-30546	73	34	tasks	task	NOUN
ajst-30546	73	35	.	.	PUNCT
ajst-30546	74	1	additionally	additionally	ADV
ajst-30546	74	2	,	,	PUNCT
ajst-30546	74	3	a	a	DET
ajst-30546	74	4	comprehensive	comprehensive	ADJ
ajst-30546	74	5	comparison	comparison	NOUN
ajst-30546	74	6	is	be	AUX
ajst-30546	74	7	189	189	NUM
ajst-30546	74	8	made	make	VERB
ajst-30546	74	9	across	across	ADP
ajst-30546	74	10	several	several	ADJ
ajst-30546	74	11	key	key	ADJ
ajst-30546	74	12	performance	performance	NOUN
ajst-30546	74	13	indicators	indicator	NOUN
ajst-30546	74	14	,	,	PUNCT
ajst-30546	74	15	including	include	VERB
ajst-30546	74	16	precision	precision	NOUN
ajst-30546	74	17	,	,	PUNCT
ajst-30546	74	18	recall	recall	NOUN
ajst-30546	74	19	,	,	PUNCT
ajst-30546	74	20	f1	f1	NOUN
ajst-30546	74	21	-	-	PUNCT
ajst-30546	74	22	score	score	NOUN
ajst-30546	74	23	,	,	PUNCT
ajst-30546	74	24	and	and	CCONJ
ajst-30546	74	25	model	model	NOUN
ajst-30546	74	26	complexity	complexity	NOUN
ajst-30546	74	27	,	,	PUNCT
ajst-30546	74	28	particularly	particularly	ADV
ajst-30546	74	29	focusing	focus	VERB
ajst-30546	74	30	on	on	ADP
ajst-30546	74	31	the	the	DET
ajst-30546	74	32	number	number	NOUN
ajst-30546	74	33	of	of	ADP
ajst-30546	74	34	parameters	parameter	NOUN
ajst-30546	74	35	.	.	PUNCT
ajst-30546	75	1	map	map	NOUN
ajst-30546	75	2	is	be	AUX
ajst-30546	75	3	computed	compute	VERB
ajst-30546	75	4	by	by	ADP
ajst-30546	75	5	assessing	assess	VERB
ajst-30546	75	6	the	the	DET
ajst-30546	75	7	average	average	ADJ
ajst-30546	75	8	precision	precision	NOUN
ajst-30546	75	9	at	at	ADP
ajst-30546	75	10	varying	vary	VERB
ajst-30546	75	11	confidence	confidence	NOUN
ajst-30546	75	12	thresholds	threshold	NOUN
ajst-30546	75	13	,	,	PUNCT
ajst-30546	75	14	offering	offer	VERB
ajst-30546	75	15	a	a	DET
ajst-30546	75	16	robust	robust	ADJ
ajst-30546	75	17	evaluation	evaluation	NOUN
ajst-30546	75	18	of	of	ADP
ajst-30546	75	19	the	the	DET
ajst-30546	75	20	model	model	NOUN
ajst-30546	75	21	's	's	PART
ajst-30546	75	22	ability	ability	NOUN
ajst-30546	75	23	to	to	PART
ajst-30546	75	24	detect	detect	VERB
ajst-30546	75	25	objects	object	NOUN
ajst-30546	75	26	at	at	ADP
ajst-30546	75	27	different	different	ADJ
ajst-30546	75	28	levels	level	NOUN
ajst-30546	75	29	of	of	ADP
ajst-30546	75	30	certainty	certainty	NOUN
ajst-30546	75	31	.	.	PUNCT
ajst-30546	76	1	specifically	specifically	ADV
ajst-30546	76	2	,	,	PUNCT
ajst-30546	76	3	it	it	PRON
ajst-30546	76	4	calculates	calculate	VERB
ajst-30546	76	5	the	the	DET
ajst-30546	76	6	precision	precision	NOUN
ajst-30546	76	7	-	-	PUNCT
ajst-30546	76	8	recall	recall	NOUN
ajst-30546	76	9	curve	curve	NOUN
ajst-30546	76	10	for	for	ADP
ajst-30546	76	11	each	each	DET
ajst-30546	76	12	class	class	NOUN
ajst-30546	76	13	,	,	PUNCT
ajst-30546	76	14	integrating	integrate	VERB
ajst-30546	76	15	over	over	ADP
ajst-30546	76	16	these	these	DET
ajst-30546	76	17	curves	curve	NOUN
ajst-30546	76	18	to	to	PART
ajst-30546	76	19	derive	derive	VERB
ajst-30546	76	20	the	the	DET
ajst-30546	76	21	mean	mean	ADJ
ajst-30546	76	22	value	value	NOUN
ajst-30546	76	23	.	.	PUNCT
ajst-30546	77	1	4.2	4.2	NUM
ajst-30546	77	2	.	.	PUNCT
ajst-30546	78	1	comparative	comparative	ADJ
ajst-30546	78	2	experiments	experiment	NOUN
ajst-30546	78	3	in	in	ADP
ajst-30546	78	4	the	the	DET
ajst-30546	78	5	comparative	comparative	ADJ
ajst-30546	78	6	experiments	experiment	NOUN
ajst-30546	78	7	,	,	PUNCT
ajst-30546	78	8	the	the	DET
ajst-30546	78	9	performance	performance	NOUN
ajst-30546	78	10	of	of	ADP
ajst-30546	78	11	five	five	NUM
ajst-30546	78	12	established	establish	VERB
ajst-30546	78	13	object	object	NOUN
ajst-30546	78	14	detection	detection	NOUN
ajst-30546	78	15	algorithms	algorithm	NOUN
ajst-30546	78	16	,	,	PUNCT
ajst-30546	78	17	along	along	ADP
ajst-30546	78	18	with	with	ADP
ajst-30546	78	19	the	the	DET
ajst-30546	78	20	newly	newly	ADV
ajst-30546	78	21	proposed	propose	VERB
ajst-30546	78	22	fog	fog	PROPN
ajst-30546	78	23	-	-	PUNCT
ajst-30546	78	24	mod	mod	PROPN
ajst-30546	78	25	-	-	PUNCT
ajst-30546	78	26	yolov8	yolov8	NOUN
ajst-30546	78	27	,	,	PUNCT
ajst-30546	78	28	was	be	AUX
ajst-30546	78	29	thoroughly	thoroughly	ADV
ajst-30546	78	30	evaluated	evaluate	VERB
ajst-30546	78	31	.	.	PUNCT
ajst-30546	79	1	the	the	DET
ajst-30546	79	2	algorithms	algorithm	NOUN
ajst-30546	79	3	included	include	VERB
ajst-30546	79	4	in	in	ADP
ajst-30546	79	5	the	the	DET
ajst-30546	79	6	study	study	NOUN
ajst-30546	79	7	are	be	AUX
ajst-30546	79	8	rtdetr	rtdetr	PROPN
ajst-30546	79	9	,	,	PUNCT
ajst-30546	79	10	efficientvit	efficientvit	PROPN
ajst-30546	79	11	,	,	PUNCT
ajst-30546	79	12	yolov5n	yolov5n	PROPN
ajst-30546	79	13	,	,	PUNCT
ajst-30546	79	14	yolov6n	yolov6n	PROPN
ajst-30546	79	15	,	,	PUNCT
ajst-30546	79	16	yolov8n	yolov8n	PROPN
ajst-30546	79	17	,	,	PUNCT
ajst-30546	79	18	and	and	CCONJ
ajst-30546	79	19	fog	fog	PROPN
ajst-30546	79	20	-	-	PUNCT
ajst-30546	79	21	mod	mod	PROPN
ajst-30546	79	22	-	-	PUNCT
ajst-30546	79	23	yolov8	yolov8	NOUN
ajst-30546	79	24	.	.	PUNCT
ajst-30546	80	1	the	the	DET
ajst-30546	80	2	evaluation	evaluation	NOUN
ajst-30546	80	3	was	be	AUX
ajst-30546	80	4	conducted	conduct	VERB
ajst-30546	80	5	using	use	VERB
ajst-30546	80	6	a	a	DET
ajst-30546	80	7	range	range	NOUN
ajst-30546	80	8	of	of	ADP
ajst-30546	80	9	key	key	ADJ
ajst-30546	80	10	performance	performance	NOUN
ajst-30546	80	11	metrics	metric	NOUN
ajst-30546	80	12	,	,	PUNCT
ajst-30546	80	13	such	such	ADJ
ajst-30546	80	14	as	as	ADP
ajst-30546	80	15	map50	map50	PROPN
ajst-30546	80	16	,	,	PUNCT
ajst-30546	80	17	precision	precision	NOUN
ajst-30546	80	18	,	,	PUNCT
ajst-30546	80	19	recall	recall	NOUN
ajst-30546	80	20	,	,	PUNCT
ajst-30546	80	21	and	and	CCONJ
ajst-30546	80	22	the	the	DET
ajst-30546	80	23	number	number	NOUN
ajst-30546	80	24	of	of	ADP
ajst-30546	80	25	parameters	parameter	NOUN
ajst-30546	80	26	.	.	PUNCT
ajst-30546	81	1	the	the	DET
ajst-30546	81	2	results	result	NOUN
ajst-30546	81	3	of	of	ADP
ajst-30546	81	4	these	these	DET
ajst-30546	81	5	experiments	experiment	NOUN
ajst-30546	81	6	are	be	AUX
ajst-30546	81	7	presented	present	VERB
ajst-30546	81	8	in	in	ADP
ajst-30546	81	9	table	table	NOUN
ajst-30546	81	10	1	1	NUM
ajst-30546	81	11	,	,	PUNCT
ajst-30546	81	12	offering	offer	VERB
ajst-30546	81	13	a	a	DET
ajst-30546	81	14	comprehensive	comprehensive	ADJ
ajst-30546	81	15	comparison	comparison	NOUN
ajst-30546	81	16	of	of	ADP
ajst-30546	81	17	the	the	DET
ajst-30546	81	18	detection	detection	NOUN
ajst-30546	81	19	accuracy	accuracy	NOUN
ajst-30546	81	20	,	,	PUNCT
ajst-30546	81	21	efficiency	efficiency	NOUN
ajst-30546	81	22	,	,	PUNCT
ajst-30546	81	23	and	and	CCONJ
ajst-30546	81	24	model	model	NOUN
ajst-30546	81	25	complexity	complexity	NOUN
ajst-30546	81	26	across	across	ADP
ajst-30546	81	27	the	the	DET
ajst-30546	81	28	different	different	ADJ
ajst-30546	81	29	methods[22	methods[22	NOUN
ajst-30546	81	30	]	]	PUNCT
ajst-30546	81	31	.	.	PUNCT
ajst-30546	82	1	table	table	NOUN
ajst-30546	82	2	1	1	NUM
ajst-30546	82	3	.	.	PUNCT
ajst-30546	83	1	comparative	comparative	ADJ
ajst-30546	83	2	experimental	experimental	ADJ
ajst-30546	83	3	results	result	NOUN
ajst-30546	83	4	on	on	ADP
ajst-30546	83	5	the	the	DET
ajst-30546	83	6	custom	custom	NOUN
ajst-30546	83	7	dataset	dataset	NOUN
ajst-30546	83	8	.	.	PUNCT
ajst-30546	84	1	method	method	PROPN
ajst-30546	84	2	dataset	dataset	VERB
ajst-30546	84	3	map50	map50	PROPN
ajst-30546	84	4	precision	precision	PROPN
ajst-30546	84	5	recall	recall	PROPN
ajst-30546	84	6	flops(g	flops(g	PROPN
ajst-30546	84	7	)	)	PUNCT
ajst-30546	84	8	parameters	parameter	NOUN
ajst-30546	84	9	rtdetr	rtdetr	VERB
ajst-30546	84	10	0.694	0.694	NUM
ajst-30546	84	11	0.679	0.679	NUM
ajst-30546	84	12	0.691	0.691	NUM
ajst-30546	84	13	108.3	108.3	NUM
ajst-30546	84	14	3.28×107	3.28×107	NUM
ajst-30546	84	15	efficientvit	efficientvit	NOUN
ajst-30546	84	16	0.651	0.651	NUM
ajst-30546	84	17	0.718	0.718	NUM
ajst-30546	84	18	0.706	0.706	NUM
ajst-30546	84	19	2.391	2.391	NUM
ajst-30546	84	20	3.83×106	3.83×106	NUM
ajst-30546	84	21	yolov5n	yolov5n	PROPN
ajst-30546	84	22	0.687	0.687	NUM
ajst-30546	84	23	0.647	0.647	NUM
ajst-30546	84	24	0.663	0.663	NUM
ajst-30546	84	25	12.0	12.0	NUM
ajst-30546	84	26	7.04×106	7.04×106	NUM
ajst-30546	84	27	yolov6n	yolov6n	PROPN
ajst-30546	84	28	0.648	0.648	NUM
ajst-30546	84	29	0.648	0.648	NUM
ajst-30546	84	30	0.623	0.623	NUM
ajst-30546	84	31	10.9	10.9	NUM
ajst-30546	84	32	4.24×106	4.24×106	NUM
ajst-30546	84	33	yolov8n	yolov8n	NOUN
ajst-30546	84	34	0.713	0.713	ADP
ajst-30546	84	35	0.726	0.726	NUM
ajst-30546	84	36	0.718	0.718	NUM
ajst-30546	84	37	8.2	8.2	NUM
ajst-30546	84	38	3.01×106	3.01×106	NUM
ajst-30546	84	39	fog	fog	PROPN
ajst-30546	84	40	-	-	PUNCT
ajst-30546	84	41	mod	mod	NOUN
ajst-30546	84	42	-	-	PUNCT
ajst-30546	84	43	yolov8n	yolov8n	PROPN
ajst-30546	84	44	0.744	0.744	NUM
ajst-30546	84	45	0.736	0.736	NUM
ajst-30546	84	46	0.736	0.736	NUM
ajst-30546	84	47	14.8	14.8	NUM
ajst-30546	84	48	8.64×106	8.64×106	NUM
ajst-30546	84	49	fog	fog	PROPN
ajst-30546	84	50	-	-	PUNCT
ajst-30546	84	51	mod	mod	NOUN
ajst-30546	84	52	-	-	PUNCT
ajst-30546	84	53	yolov8	yolov8	NOUN
ajst-30546	84	54	achieves	achieve	VERB
ajst-30546	84	55	an	an	DET
ajst-30546	84	56	map50	map50	NOUN
ajst-30546	84	57	of	of	ADP
ajst-30546	84	58	0.744	0.744	NUM
ajst-30546	84	59	,	,	PUNCT
ajst-30546	84	60	which	which	PRON
ajst-30546	84	61	is	be	AUX
ajst-30546	84	62	approximately	approximately	ADV
ajst-30546	84	63	4.3	4.3	NUM
ajst-30546	84	64	%	%	NOUN
ajst-30546	84	65	higher	high	ADJ
ajst-30546	84	66	than	than	ADP
ajst-30546	84	67	the	the	DET
ajst-30546	84	68	baseline	baseline	NOUN
ajst-30546	84	69	yolov8n	yolov8n	NOUN
ajst-30546	84	70	(	(	PUNCT
ajst-30546	84	71	0.713).compared	0.713).compare	VERB
ajst-30546	84	72	to	to	ADP
ajst-30546	84	73	rtdetr	rtdetr	PROPN
ajst-30546	84	74	(	(	PUNCT
ajst-30546	84	75	0.694	0.694	NUM
ajst-30546	84	76	)	)	PUNCT
ajst-30546	84	77	,	,	PUNCT
ajst-30546	84	78	it	it	PRON
ajst-30546	84	79	shows	show	VERB
ajst-30546	84	80	a	a	DET
ajst-30546	84	81	7.2	7.2	NUM
ajst-30546	84	82	%	%	NOUN
ajst-30546	84	83	improvement	improvement	NOUN
ajst-30546	84	84	,	,	PUNCT
ajst-30546	84	85	demonstrating	demonstrate	VERB
ajst-30546	84	86	superior	superior	ADJ
ajst-30546	84	87	detection	detection	NOUN
ajst-30546	84	88	accuracy.these	accuracy.these	PRON
ajst-30546	84	89	results	result	NOUN
ajst-30546	84	90	highlight	highlight	VERB
ajst-30546	84	91	that	that	SCONJ
ajst-30546	84	92	fog	fog	PROPN
ajst-30546	84	93	-	-	PUNCT
ajst-30546	84	94	mod	mod	ADJ
ajst-30546	84	95	-	-	PUNCT
ajst-30546	84	96	yolov8	yolov8	NOUN
ajst-30546	84	97	outperforms	outperform	VERB
ajst-30546	84	98	other	other	ADJ
ajst-30546	84	99	models	model	NOUN
ajst-30546	84	100	in	in	ADP
ajst-30546	84	101	terms	term	NOUN
ajst-30546	84	102	of	of	ADP
ajst-30546	84	103	overall	overall	ADJ
ajst-30546	84	104	detection	detection	NOUN
ajst-30546	84	105	accuracy	accuracy	NOUN
ajst-30546	84	106	under	under	ADP
ajst-30546	84	107	foggy	foggy	ADJ
ajst-30546	84	108	conditions.the	conditions.the	DET
ajst-30546	84	109	precision	precision	NOUN
ajst-30546	84	110	of	of	ADP
ajst-30546	84	111	fog	fog	NOUN
ajst-30546	84	112	-	-	PUNCT
ajst-30546	84	113	modyolov8	modyolov8	PROPN
ajst-30546	84	114	reaches	reach	VERB
ajst-30546	84	115	0.736	0.736	NUM
ajst-30546	84	116	,	,	PUNCT
ajst-30546	84	117	representing	represent	VERB
ajst-30546	84	118	an	an	DET
ajst-30546	84	119	improvement	improvement	NOUN
ajst-30546	84	120	of	of	ADP
ajst-30546	84	121	1.4	1.4	NUM
ajst-30546	84	122	%	%	NOUN
ajst-30546	84	123	over	over	ADP
ajst-30546	84	124	yolov8n	yolov8n	PROPN
ajst-30546	84	125	(	(	PUNCT
ajst-30546	84	126	0.726	0.726	NUM
ajst-30546	84	127	)	)	PUNCT
ajst-30546	84	128	and	and	CCONJ
ajst-30546	84	129	a	a	DET
ajst-30546	84	130	significant	significant	ADJ
ajst-30546	84	131	increase	increase	NOUN
ajst-30546	84	132	of	of	ADP
ajst-30546	84	133	8.4	8.4	NUM
ajst-30546	84	134	%	%	NOUN
ajst-30546	84	135	compared	compare	VERB
ajst-30546	84	136	to	to	ADP
ajst-30546	84	137	rtdetr	rtdetr	PROPN
ajst-30546	84	138	(	(	PUNCT
ajst-30546	84	139	0.679).while	0.679).while	ADP
ajst-30546	84	140	the	the	DET
ajst-30546	84	141	precision	precision	NOUN
ajst-30546	84	142	of	of	ADP
ajst-30546	84	143	fogmod	fogmod	NOUN
ajst-30546	84	144	-	-	PUNCT
ajst-30546	84	145	yolov8n	yolov8n	PROPN
ajst-30546	84	146	is	be	AUX
ajst-30546	84	147	close	close	ADJ
ajst-30546	84	148	to	to	ADP
ajst-30546	84	149	efficientvit	efficientvit	NOUN
ajst-30546	84	150	(	(	PUNCT
ajst-30546	84	151	0.718	0.718	NUM
ajst-30546	84	152	)	)	PUNCT
ajst-30546	84	153	,	,	PUNCT
ajst-30546	84	154	it	it	PRON
ajst-30546	84	155	surpasses	surpass	VERB
ajst-30546	84	156	efficientvit	efficientvit	ADJ
ajst-30546	84	157	in	in	ADP
ajst-30546	84	158	both	both	CCONJ
ajst-30546	84	159	map50	map50	PROPN
ajst-30546	84	160	and	and	CCONJ
ajst-30546	84	161	recall	recall	PROPN
ajst-30546	84	162	metrics.fog	metrics.fog	NOUN
ajst-30546	84	163	-	-	PUNCT
ajst-30546	84	164	modyolov8	modyolov8	NOUN
ajst-30546	84	165	achieves	achieve	VERB
ajst-30546	84	166	a	a	DET
ajst-30546	84	167	recall	recall	NOUN
ajst-30546	84	168	of	of	ADP
ajst-30546	84	169	0.736	0.736	NUM
ajst-30546	84	170	,	,	PUNCT
ajst-30546	84	171	which	which	PRON
ajst-30546	84	172	is	be	AUX
ajst-30546	84	173	2.5	2.5	NUM
ajst-30546	84	174	%	%	NOUN
ajst-30546	84	175	higher	high	ADJ
ajst-30546	84	176	than	than	ADP
ajst-30546	84	177	yolov8n	yolov8n	PROPN
ajst-30546	84	178	(	(	PUNCT
ajst-30546	84	179	0.718	0.718	NUM
ajst-30546	84	180	)	)	PUNCT
ajst-30546	84	181	and	and	CCONJ
ajst-30546	84	182	6.5	6.5	NUM
ajst-30546	84	183	%	%	NOUN
ajst-30546	84	184	higher	high	ADJ
ajst-30546	84	185	than	than	ADP
ajst-30546	84	186	rtdetr	rtdetr	PROPN
ajst-30546	84	187	(	(	PUNCT
ajst-30546	84	188	0.691).6.5	0.691).6.5	NUM
ajst-30546	84	189	%	%	NOUN
ajst-30546	84	190	higher	high	ADJ
ajst-30546	84	191	than	than	ADP
ajst-30546	84	192	rtdetr	rtdetr	PROPN
ajst-30546	84	193	(	(	PUNCT
ajst-30546	84	194	0.691).this	0.691).this	PRON
ajst-30546	84	195	indicates	indicate	VERB
ajst-30546	84	196	that	that	SCONJ
ajst-30546	84	197	fog	fog	PROPN
ajst-30546	84	198	-	-	PUNCT
ajst-30546	84	199	mod	mod	PROPN
ajst-30546	84	200	-	-	PUNCT
ajst-30546	84	201	yolov8n	yolov8n	PROPN
ajst-30546	84	202	has	have	VERB
ajst-30546	84	203	a	a	DET
ajst-30546	84	204	significant	significant	ADJ
ajst-30546	84	205	advantage	advantage	NOUN
ajst-30546	84	206	in	in	ADP
ajst-30546	84	207	ensuring	ensure	VERB
ajst-30546	84	208	comprehensive	comprehensive	ADJ
ajst-30546	84	209	detection	detection	NOUN
ajst-30546	84	210	of	of	ADP
ajst-30546	84	211	targets	target	NOUN
ajst-30546	84	212	in	in	ADP
ajst-30546	84	213	challenging	challenging	ADJ
ajst-30546	84	214	environments	environment	NOUN
ajst-30546	84	215	.	.	PUNCT
ajst-30546	85	1	figure	figure	VERB
ajst-30546	85	2	6	6	NUM
ajst-30546	85	3	.	.	PUNCT
ajst-30546	86	1	yolov8	yolov8	PROPN
ajst-30546	86	2	benchmark	benchmark	PROPN
ajst-30546	86	3	model	model	PROPN
ajst-30546	86	4	data	datum	NOUN
ajst-30546	86	5	figure	figure	NOUN
ajst-30546	86	6	7	7	NUM
ajst-30546	86	7	.	.	PUNCT
ajst-30546	86	8	fog	fog	NOUN
ajst-30546	86	9	-	-	PUNCT
ajst-30546	86	10	mod	mod	ADJ
ajst-30546	86	11	-	-	PUNCT
ajst-30546	86	12	yolov8n	yolov8n	NOUN
ajst-30546	86	13	improvement	improvement	NOUN
ajst-30546	86	14	model	model	NOUN
ajst-30546	86	15	data	data	PROPN
ajst-30546	86	16	4.3	4.3	NUM
ajst-30546	86	17	.	.	PUNCT
ajst-30546	87	1	ablation	ablation	NOUN
ajst-30546	87	2	experiments	experiment	NOUN
ajst-30546	87	3	to	to	PART
ajst-30546	87	4	evaluate	evaluate	VERB
ajst-30546	87	5	the	the	DET
ajst-30546	87	6	effectiveness	effectiveness	NOUN
ajst-30546	87	7	of	of	ADP
ajst-30546	87	8	the	the	DET
ajst-30546	87	9	algorithm	algorithm	NOUN
ajst-30546	87	10	,	,	PUNCT
ajst-30546	87	11	this	this	DET
ajst-30546	87	12	section	section	NOUN
ajst-30546	87	13	uses	use	VERB
ajst-30546	87	14	the	the	DET
ajst-30546	87	15	following	follow	VERB
ajst-30546	87	16	configurations	configuration	NOUN
ajst-30546	87	17	:	:	PUNCT
ajst-30546	87	18	yolov8n	yolov8n	NOUN
ajst-30546	87	19	,	,	PUNCT
ajst-30546	87	20	yolov8n_c2f	yolov8n_c2f	PROPN
ajst-30546	87	21	,	,	PUNCT
ajst-30546	87	22	yolov8n_scconv	yolov8n_scconv	PROPN
ajst-30546	87	23	,	,	PUNCT
ajst-30546	87	24	yolov8n_c2f_scconv	yolov8n_c2f_scconv	PROPN
ajst-30546	87	25	,	,	PUNCT
ajst-30546	87	26	yolov8n_cbatm	yolov8n_cbatm	PROPN
ajst-30546	87	27	,	,	PUNCT
ajst-30546	87	28	and	and	CCONJ
ajst-30546	87	29	yolov8n_fog_mod	yolov8n_fog_mod	X
ajst-30546	87	30	.	.	PROPN
ajst-30546	87	31	yolov8n_c2f_scconv	yolov8n_c2f_scconv	PROPN
ajst-30546	87	32	:	:	PUNCT
ajst-30546	87	33	by	by	ADP
ajst-30546	87	34	changing	change	VERB
ajst-30546	87	35	the	the	DET
ajst-30546	87	36	neck	neck	NOUN
ajst-30546	87	37	structure	structure	NOUN
ajst-30546	87	38	of	of	ADP
ajst-30546	87	39	yolov8	yolov8	NOUN
ajst-30546	87	40	to	to	PART
ajst-30546	87	41	c2f_scconv	c2f_scconv	VERB
ajst-30546	87	42	,	,	PUNCT
ajst-30546	87	43	we	we	PRON
ajst-30546	87	44	can	can	AUX
ajst-30546	87	45	better	well	ADV
ajst-30546	87	46	extract	extract	VERB
ajst-30546	87	47	the	the	DET
ajst-30546	87	48	characteristics	characteristic	NOUN
ajst-30546	87	49	of	of	ADP
ajst-30546	87	50	vehicles	vehicle	NOUN
ajst-30546	87	51	and	and	CCONJ
ajst-30546	87	52	pedestrians	pedestrian	NOUN
ajst-30546	87	53	from	from	ADP
ajst-30546	87	54	the	the	DET
ajst-30546	87	55	fog	fog	PROPN
ajst-30546	87	56	environment	environment	PROPN
ajst-30546	87	57	,	,	PUNCT
ajst-30546	87	58	while	while	SCONJ
ajst-30546	87	59	reducing	reduce	VERB
ajst-30546	87	60	the	the	DET
ajst-30546	87	61	computational	computational	ADJ
ajst-30546	87	62	amount	amount	NOUN
ajst-30546	87	63	,	,	PUNCT
ajst-30546	87	64	and	and	CCONJ
ajst-30546	87	65	thus	thus	ADV
ajst-30546	87	66	improve	improve	VERB
ajst-30546	87	67	the	the	DET
ajst-30546	87	68	detection	detection	NOUN
ajst-30546	87	69	accuracy	accuracy	NOUN
ajst-30546	87	70	and	and	CCONJ
ajst-30546	87	71	performance	performance	NOUN
ajst-30546	87	72	.	.	PUNCT
ajst-30546	88	1	it	it	PRON
ajst-30546	88	2	reduces	reduce	VERB
ajst-30546	88	3	the	the	DET
ajst-30546	88	4	risk	risk	NOUN
ajst-30546	88	5	of	of	ADP
ajst-30546	88	6	overfitting	overfitte	VERB
ajst-30546	88	7	and	and	CCONJ
ajst-30546	88	8	also	also	ADV
ajst-30546	88	9	enhances	enhance	VERB
ajst-30546	88	10	the	the	DET
ajst-30546	88	11	ability	ability	NOUN
ajst-30546	88	12	of	of	ADP
ajst-30546	88	13	feature	feature	NOUN
ajst-30546	88	14	extraction	extraction	NOUN
ajst-30546	88	15	.	.	PUNCT
ajst-30546	89	1	yolov8n	yolov8n	NOUN
ajst-30546	89	2	190	190	NUM
ajst-30546	89	3	cbam	cbam	NOUN
ajst-30546	89	4	:	:	PUNCT
ajst-30546	89	5	this	this	DET
ajst-30546	89	6	configuration	configuration	NOUN
ajst-30546	89	7	introduces	introduce	VERB
ajst-30546	89	8	the	the	DET
ajst-30546	89	9	cbam	cbam	NOUN
ajst-30546	89	10	module	module	NOUN
ajst-30546	89	11	after	after	SCONJ
ajst-30546	89	12	the	the	DET
ajst-30546	89	13	yolov8	yolov8	NOUN
ajst-30546	89	14	convolution	convolution	NOUN
ajst-30546	89	15	layer	layer	NOUN
ajst-30546	89	16	to	to	PART
ajst-30546	89	17	enhance	enhance	VERB
ajst-30546	89	18	the	the	DET
ajst-30546	89	19	small	small	ADJ
ajst-30546	89	20	target	target	NOUN
ajst-30546	89	21	features	feature	NOUN
ajst-30546	89	22	,	,	PUNCT
ajst-30546	89	23	enhance	enhance	VERB
ajst-30546	89	24	the	the	DET
ajst-30546	89	25	information	information	NOUN
ajst-30546	89	26	expression	expression	NOUN
ajst-30546	89	27	ability	ability	NOUN
ajst-30546	89	28	of	of	ADP
ajst-30546	89	29	the	the	DET
ajst-30546	89	30	feature	feature	NOUN
ajst-30546	89	31	graph	graph	NOUN
ajst-30546	89	32	,	,	PUNCT
ajst-30546	89	33	and	and	CCONJ
ajst-30546	89	34	inhibit	inhibit	VERB
ajst-30546	89	35	the	the	DET
ajst-30546	89	36	interference	interference	NOUN
ajst-30546	89	37	of	of	ADP
ajst-30546	89	38	environmental	environmental	ADJ
ajst-30546	89	39	information	information	NOUN
ajst-30546	89	40	in	in	ADP
ajst-30546	89	41	fog	fog	PROPN
ajst-30546	89	42	.	.	PUNCT
ajst-30546	90	1	in	in	ADP
ajst-30546	90	2	this	this	DET
ajst-30546	90	3	comparative	comparative	ADJ
ajst-30546	90	4	analysis	analysis	NOUN
ajst-30546	90	5	,	,	PUNCT
ajst-30546	90	6	the	the	DET
ajst-30546	90	7	performance	performance	NOUN
ajst-30546	90	8	of	of	ADP
ajst-30546	90	9	five	five	NUM
ajst-30546	90	10	well	well	ADV
ajst-30546	90	11	-	-	PUNCT
ajst-30546	90	12	established	establish	VERB
ajst-30546	90	13	object	object	NOUN
ajst-30546	90	14	detection	detection	NOUN
ajst-30546	90	15	algorithms	algorithm	NOUN
ajst-30546	90	16	,	,	PUNCT
ajst-30546	90	17	alongside	alongside	ADP
ajst-30546	90	18	the	the	DET
ajst-30546	90	19	newly	newly	ADV
ajst-30546	90	20	introduced	introduce	VERB
ajst-30546	90	21	fogmod	fogmod	NOUN
ajst-30546	90	22	-	-	PUNCT
ajst-30546	90	23	yolov8	yolov8	NOUN
ajst-30546	90	24	,	,	PUNCT
ajst-30546	90	25	was	be	AUX
ajst-30546	90	26	systematically	systematically	ADV
ajst-30546	90	27	assessed	assess	VERB
ajst-30546	90	28	.	.	PUNCT
ajst-30546	91	1	the	the	DET
ajst-30546	91	2	algorithms	algorithm	NOUN
ajst-30546	91	3	evaluated	evaluate	VERB
ajst-30546	91	4	in	in	ADP
ajst-30546	91	5	this	this	DET
ajst-30546	91	6	study	study	NOUN
ajst-30546	91	7	include	include	VERB
ajst-30546	91	8	rtdetr	rtdetr	PROPN
ajst-30546	91	9	,	,	PUNCT
ajst-30546	91	10	efficientvit	efficientvit	PROPN
ajst-30546	91	11	,	,	PUNCT
ajst-30546	91	12	yolov5n	yolov5n	PROPN
ajst-30546	91	13	,	,	PUNCT
ajst-30546	91	14	yolov6n	yolov6n	PROPN
ajst-30546	91	15	,	,	PUNCT
ajst-30546	91	16	yolov8n	yolov8n	PROPN
ajst-30546	91	17	,	,	PUNCT
ajst-30546	91	18	and	and	CCONJ
ajst-30546	91	19	fog	fog	PROPN
ajst-30546	91	20	-	-	PUNCT
ajst-30546	91	21	mod	mod	PROPN
ajst-30546	91	22	-	-	PUNCT
ajst-30546	91	23	yolov8	yolov8	NOUN
ajst-30546	91	24	.	.	PUNCT
ajst-30546	92	1	a	a	DET
ajst-30546	92	2	variety	variety	NOUN
ajst-30546	92	3	of	of	ADP
ajst-30546	92	4	key	key	ADJ
ajst-30546	92	5	evaluation	evaluation	NOUN
ajst-30546	92	6	metrics	metric	NOUN
ajst-30546	92	7	were	be	AUX
ajst-30546	92	8	employed	employ	VERB
ajst-30546	92	9	,	,	PUNCT
ajst-30546	92	10	including	include	VERB
ajst-30546	92	11	map50	map50	PROPN
ajst-30546	92	12	,	,	PUNCT
ajst-30546	92	13	precision	precision	NOUN
ajst-30546	92	14	,	,	PUNCT
ajst-30546	92	15	recall	recall	NOUN
ajst-30546	92	16	,	,	PUNCT
ajst-30546	92	17	and	and	CCONJ
ajst-30546	92	18	model	model	NOUN
ajst-30546	92	19	parameter	parameter	PROPN
ajst-30546	92	20	count	count	NOUN
ajst-30546	92	21	,	,	PUNCT
ajst-30546	92	22	to	to	PART
ajst-30546	92	23	provide	provide	VERB
ajst-30546	92	24	a	a	DET
ajst-30546	92	25	comprehensive	comprehensive	ADJ
ajst-30546	92	26	assessment	assessment	NOUN
ajst-30546	92	27	.	.	PUNCT
ajst-30546	93	1	the	the	DET
ajst-30546	93	2	results	result	NOUN
ajst-30546	93	3	,	,	PUNCT
ajst-30546	93	4	which	which	PRON
ajst-30546	93	5	are	be	AUX
ajst-30546	93	6	summarized	summarize	VERB
ajst-30546	93	7	in	in	ADP
ajst-30546	93	8	table	table	NOUN
ajst-30546	93	9	1	1	NUM
ajst-30546	93	10	,	,	PUNCT
ajst-30546	93	11	offer	offer	VERB
ajst-30546	93	12	an	an	DET
ajst-30546	93	13	in	in	ADP
ajst-30546	93	14	-	-	PUNCT
ajst-30546	93	15	depth	depth	NOUN
ajst-30546	93	16	comparison	comparison	NOUN
ajst-30546	93	17	of	of	ADP
ajst-30546	93	18	detection	detection	NOUN
ajst-30546	93	19	accuracy	accuracy	NOUN
ajst-30546	93	20	,	,	PUNCT
ajst-30546	93	21	computational	computational	ADJ
ajst-30546	93	22	efficiency	efficiency	NOUN
ajst-30546	93	23	,	,	PUNCT
ajst-30546	93	24	and	and	CCONJ
ajst-30546	93	25	model	model	NOUN
ajst-30546	93	26	complexity	complexity	NOUN
ajst-30546	93	27	across	across	ADP
ajst-30546	93	28	the	the	DET
ajst-30546	93	29	various	various	ADJ
ajst-30546	93	30	approaches	approach	NOUN
ajst-30546	93	31	.	.	PUNCT
ajst-30546	94	1	table	table	NOUN
ajst-30546	94	2	2	2	NUM
ajst-30546	94	3	.	.	PUNCT
ajst-30546	94	4	ablation	ablation	NOUN
ajst-30546	94	5	experiment	experiment	NOUN
ajst-30546	94	6	results	result	NOUN
ajst-30546	94	7	method	method	VERB
ajst-30546	94	8	c2f	c2f	NOUN
ajst-30546	94	9	scconv	scconv	NOUN
ajst-30546	94	10	cbam	cbam	PROPN
ajst-30546	94	11	map50	map50	PROPN
ajst-30546	94	12	map5090	map5090	PROPN
ajst-30546	94	13	precision	precision	PROPN
ajst-30546	94	14	recall	recall	NOUN
ajst-30546	94	15	parameters	parameter	NOUN
ajst-30546	94	16	yolov8n	yolov8n	PROPN
ajst-30546	95	1	×	×	PROPN
ajst-30546	95	2	×	×	NOUN
ajst-30546	95	3	×	×	NOUN
ajst-30546	95	4	0.713	0.713	ADP
ajst-30546	95	5	0.695	0.695	NUM
ajst-30546	95	6	0.706	0.706	NUM
ajst-30546	95	7	0.718	0.718	NUM
ajst-30546	95	8	3.01×106	3.01×106	NUM
ajst-30546	95	9	yolov8n	yolov8n	NOUN
ajst-30546	95	10	_	_	PRON
ajst-30546	96	1	c2f	c2f	NOUN
ajst-30546	96	2	√	√	NUM
ajst-30546	96	3	×	×	PROPN
ajst-30546	96	4	×	×	NOUN
ajst-30546	96	5	0.728	0.728	NUM
ajst-30546	96	6	0.711	0.711	NUM
ajst-30546	96	7	0.727	0.727	NUM
ajst-30546	96	8	0.726	0.726	NUM
ajst-30546	96	9	3.02×106	3.02×106	NUM
ajst-30546	96	10	yolov8n_scconv	yolov8n_scconv	ADJ
ajst-30546	96	11	×	×	NOUN
ajst-30546	97	1	√	√	NUM
ajst-30546	97	2	×	×	NOUN
ajst-30546	97	3	0.678	0.678	NUM
ajst-30546	97	4	0.664	0.664	NUM
ajst-30546	97	5	0.659	0.659	NUM
ajst-30546	97	6	0.654	0.654	NUM
ajst-30546	97	7	3.01×106	3.01×106	NUM
ajst-30546	97	8	yolov8n_c2f_scconv	yolov8n_c2f_scconv	NOUN
ajst-30546	97	9	√	√	PROPN
ajst-30546	97	10	√	√	NUM
ajst-30546	97	11	×	×	NOUN
ajst-30546	97	12	0.736	0.736	NUM
ajst-30546	97	13	0.715	0.715	NUM
ajst-30546	97	14	0.737	0.737	NUM
ajst-30546	98	1	0.726	0.726	NUM
ajst-30546	98	2	4.24×106	4.24×106	NUM
ajst-30546	98	3	yolov8n_cbam	yolov8n_cbam	NOUN
ajst-30546	98	4	×	×	NOUN
ajst-30546	98	5	×	×	NOUN
ajst-30546	98	6	√	√	NOUN
ajst-30546	98	7	0.718	0.718	NUM
ajst-30546	98	8	0.706	0.706	NUM
ajst-30546	98	9	0.715	0.715	NUM
ajst-30546	98	10	0.663	0.663	NUM
ajst-30546	98	11	3.01×106	3.01×106	NUM
ajst-30546	98	12	yolov8n_fog_mod	yolov8n_fog_mod	NOUN
ajst-30546	98	13	√	√	ADP
ajst-30546	98	14	√	√	NUM
ajst-30546	98	15	√	√	NUM
ajst-30546	98	16	0.744	0.744	NUM
ajst-30546	98	17	0.724	0.724	NUM
ajst-30546	98	18	0.736	0.736	NUM
ajst-30546	98	19	0.736	0.736	NUM
ajst-30546	98	20	8.64×106	8.64×106	NOUN
ajst-30546	98	21	as	as	SCONJ
ajst-30546	98	22	detailed	detailed	ADJ
ajst-30546	98	23	in	in	ADP
ajst-30546	98	24	table	table	NOUN
ajst-30546	98	25	2	2	NUM
ajst-30546	98	26	,	,	PUNCT
ajst-30546	98	27	replacing	replace	VERB
ajst-30546	98	28	the	the	DET
ajst-30546	98	29	original	original	ADJ
ajst-30546	98	30	c2f	c2f	NOUN
ajst-30546	98	31	module	module	NOUN
ajst-30546	98	32	with	with	ADP
ajst-30546	98	33	the	the	DET
ajst-30546	98	34	enhanced	enhance	VERB
ajst-30546	98	35	c2f_scconv	c2f_scconv	NOUN
ajst-30546	98	36	module	module	NOUN
ajst-30546	98	37	yields	yield	NOUN
ajst-30546	98	38	improvements	improvement	NOUN
ajst-30546	98	39	of	of	ADP
ajst-30546	98	40	3.22	3.22	NUM
ajst-30546	98	41	%	%	NOUN
ajst-30546	98	42	and	and	CCONJ
ajst-30546	98	43	2.87	2.87	NUM
ajst-30546	98	44	%	%	NOUN
ajst-30546	98	45	in	in	ADP
ajst-30546	98	46	map50	map50	PROPN
ajst-30546	98	47	and	and	CCONJ
ajst-30546	98	48	map50	map50	PROPN
ajst-30546	98	49	-	-	PUNCT
ajst-30546	98	50	90	90	NUM
ajst-30546	98	51	,	,	PUNCT
ajst-30546	98	52	respectively	respectively	ADV
ajst-30546	98	53	,	,	PUNCT
ajst-30546	98	54	when	when	SCONJ
ajst-30546	98	55	compared	compare	VERB
ajst-30546	98	56	to	to	ADP
ajst-30546	98	57	the	the	DET
ajst-30546	98	58	baseline	baseline	ADJ
ajst-30546	98	59	yolov8n	yolov8n	PROPN
ajst-30546	98	60	model	model	NOUN
ajst-30546	98	61	.	.	PUNCT
ajst-30546	99	1	additionally	additionally	ADV
ajst-30546	99	2	,	,	PUNCT
ajst-30546	99	3	the	the	DET
ajst-30546	99	4	integration	integration	NOUN
ajst-30546	99	5	of	of	ADP
ajst-30546	99	6	the	the	DET
ajst-30546	99	7	cbam	cbam	NOUN
ajst-30546	99	8	attention	attention	NOUN
ajst-30546	99	9	mechanism	mechanism	NOUN
ajst-30546	99	10	further	far	ADV
ajst-30546	99	11	elevates	elevate	VERB
ajst-30546	99	12	the	the	DET
ajst-30546	99	13	map50	map50	PROPN
ajst-30546	99	14	and	and	CCONJ
ajst-30546	99	15	map50	map50	PROPN
ajst-30546	99	16	-	-	PUNCT
ajst-30546	99	17	90	90	NUM
ajst-30546	99	18	scores	score	NOUN
ajst-30546	99	19	by	by	ADP
ajst-30546	99	20	0.7	0.7	NUM
ajst-30546	99	21	%	%	NOUN
ajst-30546	99	22	and	and	CCONJ
ajst-30546	99	23	1.58	1.58	NUM
ajst-30546	99	24	%	%	NOUN
ajst-30546	99	25	,	,	PUNCT
ajst-30546	99	26	underscoring	underscore	VERB
ajst-30546	99	27	its	its	PRON
ajst-30546	99	28	contribution	contribution	NOUN
ajst-30546	99	29	to	to	ADP
ajst-30546	99	30	refining	refine	VERB
ajst-30546	99	31	the	the	DET
ajst-30546	99	32	model	model	NOUN
ajst-30546	99	33	's	's	PART
ajst-30546	99	34	capacity	capacity	NOUN
ajst-30546	99	35	to	to	PART
ajst-30546	99	36	detect	detect	VERB
ajst-30546	99	37	objects	object	NOUN
ajst-30546	99	38	across	across	ADP
ajst-30546	99	39	diverse	diverse	ADJ
ajst-30546	99	40	scales	scale	NOUN
ajst-30546	99	41	and	and	CCONJ
ajst-30546	99	42	to	to	PART
ajst-30546	99	43	extract	extract	VERB
ajst-30546	99	44	relevant	relevant	ADJ
ajst-30546	99	45	features	feature	NOUN
ajst-30546	99	46	from	from	ADP
ajst-30546	99	47	cluttered	cluttered	ADJ
ajst-30546	99	48	or	or	CCONJ
ajst-30546	99	49	ambiguous	ambiguous	ADJ
ajst-30546	99	50	contexts	context	NOUN
ajst-30546	99	51	.	.	PUNCT
ajst-30546	100	1	when	when	SCONJ
ajst-30546	100	2	both	both	DET
ajst-30546	100	3	the	the	DET
ajst-30546	100	4	c2f_scconv	c2f_scconv	NOUN
ajst-30546	100	5	and	and	CCONJ
ajst-30546	100	6	cbam	cbam	NOUN
ajst-30546	100	7	modules	module	NOUN
ajst-30546	100	8	are	be	AUX
ajst-30546	100	9	incorporated	incorporate	VERB
ajst-30546	100	10	into	into	ADP
ajst-30546	100	11	the	the	DET
ajst-30546	100	12	yolov8n_fog_mod	yolov8n_fog_mod	NOUN
ajst-30546	100	13	configuration	configuration	NOUN
ajst-30546	100	14	,	,	PUNCT
ajst-30546	100	15	the	the	DET
ajst-30546	100	16	model	model	NOUN
ajst-30546	100	17	achieves	achieve	VERB
ajst-30546	100	18	a	a	DET
ajst-30546	100	19	notable	notable	ADJ
ajst-30546	100	20	increase	increase	NOUN
ajst-30546	100	21	of	of	ADP
ajst-30546	100	22	4.35	4.35	NUM
ajst-30546	100	23	%	%	NOUN
ajst-30546	100	24	in	in	ADP
ajst-30546	100	25	both	both	CCONJ
ajst-30546	100	26	map50	map50	PROPN
ajst-30546	100	27	and	and	CCONJ
ajst-30546	100	28	map50	map50	PROPN
ajst-30546	100	29	-	-	PUNCT
ajst-30546	100	30	90	90	NUM
ajst-30546	100	31	.	.	PUNCT
ajst-30546	101	1	these	these	DET
ajst-30546	101	2	improvements	improvement	NOUN
ajst-30546	101	3	highlight	highlight	VERB
ajst-30546	101	4	the	the	DET
ajst-30546	101	5	combined	combined	ADJ
ajst-30546	101	6	effect	effect	NOUN
ajst-30546	101	7	of	of	ADP
ajst-30546	101	8	these	these	DET
ajst-30546	101	9	modules	module	NOUN
ajst-30546	101	10	in	in	ADP
ajst-30546	101	11	addressing	address	VERB
ajst-30546	101	12	class	class	NOUN
ajst-30546	101	13	imbalance	imbalance	NOUN
ajst-30546	101	14	issues	issue	NOUN
ajst-30546	101	15	between	between	ADP
ajst-30546	101	16	simpler	simple	ADJ
ajst-30546	101	17	and	and	CCONJ
ajst-30546	101	18	more	more	ADV
ajst-30546	101	19	challenging	challenging	ADJ
ajst-30546	101	20	examples	example	NOUN
ajst-30546	101	21	within	within	ADP
ajst-30546	101	22	the	the	DET
ajst-30546	101	23	dataset	dataset	NOUN
ajst-30546	101	24	,	,	PUNCT
ajst-30546	101	25	thereby	thereby	ADV
ajst-30546	101	26	enhancing	enhance	VERB
ajst-30546	101	27	overall	overall	ADJ
ajst-30546	101	28	detection	detection	NOUN
ajst-30546	101	29	accuracy	accuracy	NOUN
ajst-30546	101	30	.	.	PUNCT
ajst-30546	102	1	4.4	4.4	NUM
ajst-30546	102	2	.	.	PUNCT
ajst-30546	103	1	visualization	visualization	NOUN
ajst-30546	103	2	analysis	analysis	NOUN
ajst-30546	103	3	figure	figure	NOUN
ajst-30546	103	4	9	9	NUM
ajst-30546	103	5	illustrates	illustrate	VERB
ajst-30546	103	6	the	the	DET
ajst-30546	103	7	visualization	visualization	NOUN
ajst-30546	103	8	results	result	NOUN
ajst-30546	103	9	of	of	ADP
ajst-30546	103	10	various	various	ADJ
ajst-30546	103	11	detection	detection	NOUN
ajst-30546	103	12	methods	method	NOUN
ajst-30546	103	13	,	,	PUNCT
ajst-30546	103	14	highlighting	highlight	VERB
ajst-30546	103	15	a	a	DET
ajst-30546	103	16	substantial	substantial	ADJ
ajst-30546	103	17	enhancement	enhancement	NOUN
ajst-30546	103	18	in	in	ADP
ajst-30546	103	19	the	the	DET
ajst-30546	103	20	performance	performance	NOUN
ajst-30546	103	21	of	of	ADP
ajst-30546	103	22	the	the	DET
ajst-30546	103	23	fog	fog	PROPN
ajst-30546	103	24	-	-	PUNCT
ajst-30546	103	25	mod	mod	ADJ
ajst-30546	103	26	-	-	PUNCT
ajst-30546	103	27	yolov8n	yolov8n	NOUN
ajst-30546	103	28	model	model	NOUN
ajst-30546	103	29	compared	compare	VERB
ajst-30546	103	30	to	to	ADP
ajst-30546	103	31	the	the	DET
ajst-30546	103	32	baseline	baseline	PROPN
ajst-30546	103	33	yolov8	yolov8	PROPN
ajst-30546	103	34	model	model	PROPN
ajst-30546	103	35	.	.	PUNCT
ajst-30546	104	1	specifically	specifically	ADV
ajst-30546	104	2	,	,	PUNCT
ajst-30546	104	3	the	the	DET
ajst-30546	104	4	proposed	propose	VERB
ajst-30546	104	5	fog	fog	PROPN
ajst-30546	104	6	-	-	PUNCT
ajst-30546	104	7	mod	mod	ADJ
ajst-30546	104	8	-	-	PUNCT
ajst-30546	104	9	yolov8	yolov8	NOUN
ajst-30546	104	10	algorithm	algorithm	NOUN
ajst-30546	104	11	outperforms	outperform	VERB
ajst-30546	104	12	the	the	DET
ajst-30546	104	13	baseline	baseline	NOUN
ajst-30546	104	14	by	by	ADP
ajst-30546	104	15	achieving	achieve	VERB
ajst-30546	104	16	improvements	improvement	NOUN
ajst-30546	104	17	of	of	ADP
ajst-30546	104	18	4.35	4.35	NUM
ajst-30546	104	19	%	%	NOUN
ajst-30546	104	20	and	and	CCONJ
ajst-30546	104	21	0.417	0.417	NUM
ajst-30546	104	22	%	%	NOUN
ajst-30546	104	23	in	in	ADP
ajst-30546	104	24	map50	map50	PROPN
ajst-30546	104	25	and	and	CCONJ
ajst-30546	104	26	map50	map50	PROPN
ajst-30546	104	27	-	-	PUNCT
ajst-30546	104	28	90	90	NUM
ajst-30546	104	29	,	,	PUNCT
ajst-30546	104	30	respectively	respectively	ADV
ajst-30546	104	31	.	.	PUNCT
ajst-30546	105	1	additionally	additionally	ADV
ajst-30546	105	2	,	,	PUNCT
ajst-30546	105	3	it	it	PRON
ajst-30546	105	4	demonstrates	demonstrate	VERB
ajst-30546	105	5	notable	notable	ADJ
ajst-30546	105	6	gains	gain	NOUN
ajst-30546	105	7	in	in	ADP
ajst-30546	105	8	accuracy	accuracy	NOUN
ajst-30546	105	9	and	and	CCONJ
ajst-30546	105	10	recall	recall	NOUN
ajst-30546	105	11	,	,	PUNCT
ajst-30546	105	12	with	with	ADP
ajst-30546	105	13	increases	increase	NOUN
ajst-30546	105	14	of	of	ADP
ajst-30546	105	15	4.25	4.25	NUM
ajst-30546	105	16	%	%	NOUN
ajst-30546	105	17	and	and	CCONJ
ajst-30546	105	18	2.51	2.51	NUM
ajst-30546	105	19	%	%	NOUN
ajst-30546	105	20	,	,	PUNCT
ajst-30546	105	21	respectively	respectively	ADV
ajst-30546	105	22	.	.	PUNCT
ajst-30546	106	1	collectively	collectively	ADV
ajst-30546	106	2	,	,	PUNCT
ajst-30546	106	3	these	these	DET
ajst-30546	106	4	results	result	NOUN
ajst-30546	106	5	underscore	underscore	VERB
ajst-30546	106	6	the	the	DET
ajst-30546	106	7	effectiveness	effectiveness	NOUN
ajst-30546	106	8	of	of	ADP
ajst-30546	106	9	the	the	DET
ajst-30546	106	10	augmented	augment	VERB
ajst-30546	106	11	algorithm	algorithm	NOUN
ajst-30546	106	12	in	in	ADP
ajst-30546	106	13	accurately	accurately	ADV
ajst-30546	106	14	detecting	detect	VERB
ajst-30546	106	15	vehicles	vehicle	NOUN
ajst-30546	106	16	and	and	CCONJ
ajst-30546	106	17	pedestrians	pedestrian	NOUN
ajst-30546	106	18	in	in	ADP
ajst-30546	106	19	foggy	foggy	ADJ
ajst-30546	106	20	environments	environment	NOUN
ajst-30546	106	21	,	,	PUNCT
ajst-30546	106	22	confirming	confirm	VERB
ajst-30546	106	23	its	its	PRON
ajst-30546	106	24	robustness	robustness	NOUN
ajst-30546	106	25	and	and	CCONJ
ajst-30546	106	26	practical	practical	ADJ
ajst-30546	106	27	applicability	applicability	NOUN
ajst-30546	106	28	in	in	ADP
ajst-30546	106	29	real	real	ADJ
ajst-30546	106	30	-	-	PUNCT
ajst-30546	106	31	world	world	NOUN
ajst-30546	106	32	scenarios[23	scenarios[23	NOUN
ajst-30546	106	33	]	]	PUNCT
ajst-30546	106	34	.	.	PUNCT
ajst-30546	107	1	figure	figure	NOUN
ajst-30546	107	2	9	9	NUM
ajst-30546	107	3	.	.	PUNCT
ajst-30546	107	4	comparison	comparison	NOUN
ajst-30546	107	5	of	of	ADP
ajst-30546	107	6	vehicle	vehicle	NOUN
ajst-30546	107	7	and	and	CCONJ
ajst-30546	107	8	pedestrian	pedestrian	NOUN
ajst-30546	107	9	detection	detection	NOUN
ajst-30546	107	10	results	result	VERB
ajst-30546	107	11	5	5	NUM
ajst-30546	107	12	.	.	PUNCT
ajst-30546	107	13	conclusion	conclusion	NOUN
ajst-30546	107	14	this	this	DET
ajst-30546	107	15	study	study	NOUN
ajst-30546	107	16	presents	present	VERB
ajst-30546	107	17	the	the	DET
ajst-30546	107	18	fog	fog	PROPN
ajst-30546	107	19	-	-	PUNCT
ajst-30546	107	20	mod	mod	ADJ
ajst-30546	107	21	-	-	PUNCT
ajst-30546	107	22	yolov8n	yolov8n	NOUN
ajst-30546	107	23	algorithm	algorithm	NOUN
ajst-30546	107	24	to	to	PART
ajst-30546	107	25	effectively	effectively	ADV
ajst-30546	107	26	perform	perform	VERB
ajst-30546	107	27	multi	multi	ADJ
ajst-30546	107	28	-	-	ADJ
ajst-30546	107	29	object	object	ADJ
ajst-30546	107	30	detection	detection	NOUN
ajst-30546	107	31	of	of	ADP
ajst-30546	107	32	vehicles	vehicle	NOUN
ajst-30546	107	33	and	and	CCONJ
ajst-30546	107	34	pedestrians	pedestrian	NOUN
ajst-30546	107	35	under	under	ADP
ajst-30546	107	36	fog	fog	NOUN
ajst-30546	107	37	conditions	condition	NOUN
ajst-30546	107	38	.	.	PUNCT
ajst-30546	108	1	the	the	DET
ajst-30546	108	2	model	model	NOUN
ajst-30546	108	3	integrates	integrate	VERB
ajst-30546	108	4	the	the	DET
ajst-30546	108	5	c2f_scconv	c2f_scconv	NOUN
ajst-30546	108	6	module	module	NOUN
ajst-30546	108	7	,	,	PUNCT
ajst-30546	108	8	replacing	replace	VERB
ajst-30546	108	9	the	the	DET
ajst-30546	108	10	bottleneck	bottleneck	NOUN
ajst-30546	108	11	in	in	ADP
ajst-30546	108	12	c2f	c2f	PROPN
ajst-30546	108	13	,	,	PUNCT
ajst-30546	108	14	and	and	CCONJ
ajst-30546	108	15	adopts	adopt	VERB
ajst-30546	108	16	the	the	DET
ajst-30546	108	17	cbatm	cbatm	ADJ
ajst-30546	108	18	two	two	NUM
ajst-30546	108	19	-	-	PUNCT
ajst-30546	108	20	channel	channel	NOUN
ajst-30546	108	21	attention	attention	NOUN
ajst-30546	108	22	mechanism	mechanism	NOUN
ajst-30546	108	23	to	to	PART
ajst-30546	108	24	improve	improve	VERB
ajst-30546	108	25	the	the	DET
ajst-30546	108	26	feature	feature	NOUN
ajst-30546	108	27	extraction	extraction	NOUN
ajst-30546	108	28	in	in	ADP
ajst-30546	108	29	fog	fog	NOUN
ajst-30546	108	30	conditions	condition	NOUN
ajst-30546	108	31	to	to	PART
ajst-30546	108	32	enhance	enhance	VERB
ajst-30546	108	33	the	the	DET
ajst-30546	108	34	small	small	ADJ
ajst-30546	108	35	target	target	NOUN
ajst-30546	108	36	features	feature	NOUN
ajst-30546	108	37	in	in	ADP
ajst-30546	108	38	the	the	DET
ajst-30546	108	39	convolution	convolution	NOUN
ajst-30546	108	40	layer	layer	NOUN
ajst-30546	108	41	.	.	PUNCT
ajst-30546	109	1	the	the	DET
ajst-30546	109	2	experimental	experimental	ADJ
ajst-30546	109	3	results	result	NOUN
ajst-30546	109	4	show	show	VERB
ajst-30546	109	5	that	that	SCONJ
ajst-30546	109	6	fog	fog	PROPN
ajst-30546	109	7	-	-	PUNCT
ajst-30546	109	8	mod	mod	PROPN
ajst-30546	109	9	-	-	PUNCT
ajst-30546	109	10	yolov8n	yolov8n	PROPN
ajst-30546	109	11	has	have	VERB
ajst-30546	109	12	strong	strong	ADJ
ajst-30546	109	13	performance	performance	NOUN
ajst-30546	109	14	in	in	ADP
ajst-30546	109	15	multi	multi	ADJ
ajst-30546	109	16	-	-	ADJ
ajst-30546	109	17	object	object	ADJ
ajst-30546	109	18	detection	detection	NOUN
ajst-30546	109	19	in	in	ADP
ajst-30546	109	20	fog	fog	NOUN
ajst-30546	109	21	environment	environment	NOUN
ajst-30546	109	22	and	and	CCONJ
ajst-30546	109	23	significant	significant	ADJ
ajst-30546	109	24	advantages	advantage	NOUN
ajst-30546	109	25	in	in	ADP
ajst-30546	109	26	model	model	NOUN
ajst-30546	109	27	efficiency	efficiency	NOUN
ajst-30546	109	28	and	and	CCONJ
ajst-30546	109	29	lightweight	lightweight	ADJ
ajst-30546	109	30	design	design	NOUN
ajst-30546	109	31	to	to	PART
ajst-30546	109	32	enhance	enhance	VERB
ajst-30546	109	33	detection	detection	NOUN
ajst-30546	109	34	accuracy	accuracy	NOUN
ajst-30546	109	35	,	,	PUNCT
ajst-30546	109	36	efficiency	efficiency	NOUN
ajst-30546	109	37	,	,	PUNCT
ajst-30546	109	38	and	and	CCONJ
ajst-30546	109	39	191	191	NUM
ajst-30546	109	40	generalization	generalization	NOUN
ajst-30546	109	41	,	,	PUNCT
ajst-30546	109	42	high	high	ADJ
ajst-30546	109	43	-	-	PUNCT
ajst-30546	109	44	quality	quality	NOUN
ajst-30546	109	45	datasets	dataset	NOUN
ajst-30546	109	46	and	and	CCONJ
ajst-30546	109	47	an	an	DET
ajst-30546	109	48	optimized	optimize	VERB
ajst-30546	109	49	network	network	NOUN
ajst-30546	109	50	structure	structure	NOUN
ajst-30546	109	51	are	be	AUX
ajst-30546	109	52	essential	essential	ADJ
ajst-30546	109	53	.	.	PUNCT
ajst-30546	110	1	future	future	ADJ
ajst-30546	110	2	work	work	NOUN
ajst-30546	110	3	will	will	AUX
ajst-30546	110	4	focus	focus	VERB
ajst-30546	110	5	on	on	ADP
ajst-30546	110	6	curating	curate	VERB
ajst-30546	110	7	high	high	ADJ
ajst-30546	110	8	-	-	PUNCT
ajst-30546	110	9	quality	quality	NOUN
ajst-30546	110	10	datasets	dataset	NOUN
ajst-30546	110	11	and	and	CCONJ
ajst-30546	110	12	refining	refine	VERB
ajst-30546	110	13	the	the	DET
ajst-30546	110	14	network	network	NOUN
ajst-30546	110	15	architecture	architecture	NOUN
ajst-30546	110	16	to	to	PART
ajst-30546	110	17	improve	improve	VERB
ajst-30546	110	18	both	both	DET
ajst-30546	110	19	model	model	NOUN
ajst-30546	110	20	accuracy	accuracy	NOUN
ajst-30546	110	21	and	and	CCONJ
ajst-30546	110	22	its	its	PRON
ajst-30546	110	23	lightweight	lightweight	ADJ
ajst-30546	110	24	design	design	NOUN
ajst-30546	110	25	.	.	PUNCT
ajst-30546	111	1	this	this	DET
ajst-30546	111	2	study	study	NOUN
ajst-30546	111	3	not	not	PART
ajst-30546	111	4	only	only	ADV
ajst-30546	111	5	introduces	introduce	VERB
ajst-30546	111	6	an	an	DET
ajst-30546	111	7	innovative	innovative	ADJ
ajst-30546	111	8	model	model	NOUN
ajst-30546	111	9	for	for	ADP
ajst-30546	111	10	vehicle	vehicle	NOUN
ajst-30546	111	11	and	and	CCONJ
ajst-30546	111	12	pedestrian	pedestrian	NOUN
ajst-30546	111	13	recognition	recognition	NOUN
ajst-30546	111	14	in	in	ADP
ajst-30546	111	15	complex	complex	ADJ
ajst-30546	111	16	environments	environment	NOUN
ajst-30546	111	17	but	but	CCONJ
ajst-30546	111	18	also	also	ADV
ajst-30546	111	19	provides	provide	VERB
ajst-30546	111	20	practical	practical	ADJ
ajst-30546	111	21	solutions	solution	NOUN
ajst-30546	111	22	for	for	ADP
ajst-30546	111	23	traffic	traffic	NOUN
ajst-30546	111	24	monitoring	monitoring	NOUN
ajst-30546	111	25	applications	application	NOUN
ajst-30546	111	26	,	,	PUNCT
ajst-30546	111	27	highlighting	highlight	VERB
ajst-30546	111	28	the	the	DET
ajst-30546	111	29	potential	potential	NOUN
ajst-30546	111	30	of	of	ADP
ajst-30546	111	31	deep	deep	ADJ
ajst-30546	111	32	learning	learning	NOUN
ajst-30546	111	33	for	for	ADP
ajst-30546	111	34	recognition	recognition	NOUN
ajst-30546	111	35	tasks	task	NOUN
ajst-30546	111	36	in	in	ADP
ajst-30546	111	37	foggy	foggy	ADJ
ajst-30546	111	38	conditions	condition	NOUN
ajst-30546	111	39	.	.	PUNCT
ajst-30546	112	1	references	reference	NOUN
ajst-30546	112	2	[	[	X
ajst-30546	112	3	1	1	NUM
ajst-30546	112	4	]	]	X
ajst-30546	112	5	peng	peng	PROPN
ajst-30546	112	6	y	y	PROPN
ajst-30546	112	7	,	,	PUNCT
ajst-30546	112	8	abdel	abdel	PROPN
ajst-30546	112	9	-	-	PUNCT
ajst-30546	112	10	aty	aty	PROPN
ajst-30546	112	11	m	m	PROPN
ajst-30546	112	12	,	,	PUNCT
ajst-30546	112	13	lee	lee	PROPN
ajst-30546	112	14	j	j	PROPN
ajst-30546	112	15	,	,	PUNCT
ajst-30546	112	16	et	et	PROPN
ajst-30546	112	17	al	al	PROPN
ajst-30546	112	18	.	.	PUNCT
ajst-30546	113	1	analysis	analysis	NOUN
ajst-30546	113	2	of	of	ADP
ajst-30546	113	3	the	the	DET
ajst-30546	113	4	impact	impact	NOUN
ajst-30546	113	5	of	of	ADP
ajst-30546	113	6	fog	fog	NOUN
ajst-30546	113	7	-	-	PUNCT
ajst-30546	113	8	related	relate	VERB
ajst-30546	113	9	reduced	reduce	VERB
ajst-30546	113	10	visibility	visibility	NOUN
ajst-30546	113	11	on	on	ADP
ajst-30546	113	12	traffic	traffic	NOUN
ajst-30546	113	13	parameters[j	parameters[j	PROPN
ajst-30546	113	14	]	]	PUNCT
ajst-30546	113	15	.	.	PUNCT
ajst-30546	114	1	journal	journal	PROPN
ajst-30546	114	2	of	of	ADP
ajst-30546	114	3	transportation	transportation	NOUN
ajst-30546	114	4	engineering	engineering	NOUN
ajst-30546	114	5	,	,	PUNCT
ajst-30546	114	6	part	part	NOUN
ajst-30546	114	7	a	a	DET
ajst-30546	114	8	:	:	PUNCT
ajst-30546	114	9	systems	system	NOUN
ajst-30546	114	10	,	,	PUNCT
ajst-30546	114	11	2018	2018	NUM
ajst-30546	114	12	,	,	PUNCT
ajst-30546	114	13	144(2	144(2	NUM
ajst-30546	114	14	):	):	PUNCT
ajst-30546	114	15	04017077	04017077	NUM
ajst-30546	114	16	.	.	PUNCT
ajst-30546	115	1	[	[	X
ajst-30546	115	2	2	2	NUM
ajst-30546	115	3	]	]	X
ajst-30546	115	4	han	han	NOUN
ajst-30546	115	5	g	g	PROPN
ajst-30546	115	6	,	,	PUNCT
ajst-30546	115	7	wang	wang	PROPN
ajst-30546	115	8	y	y	PROPN
ajst-30546	115	9	,	,	PUNCT
ajst-30546	115	10	liu	liu	PROPN
ajst-30546	115	11	j	j	PROPN
ajst-30546	115	12	,	,	PUNCT
ajst-30546	115	13	et	et	PROPN
ajst-30546	116	1	al	al	PROPN
ajst-30546	116	2	.	.	PUNCT
ajst-30546	116	3	low	low	ADJ
ajst-30546	116	4	-	-	PUNCT
ajst-30546	116	5	light	light	NOUN
ajst-30546	116	6	images	image	NOUN
ajst-30546	116	7	enhancement	enhancement	NOUN
ajst-30546	116	8	and	and	CCONJ
ajst-30546	116	9	denoising	denoising	NOUN
ajst-30546	116	10	network	network	NOUN
ajst-30546	116	11	based	base	VERB
ajst-30546	116	12	on	on	ADP
ajst-30546	116	13	unsupervised	unsupervised	ADJ
ajst-30546	116	14	learning	learn	VERB
ajst-30546	116	15	multistream	multistream	PROPN
ajst-30546	116	16	feature	feature	NOUN
ajst-30546	116	17	modeling[j	modeling[j	NOUN
ajst-30546	116	18	]	]	PUNCT
ajst-30546	116	19	.	.	PUNCT
ajst-30546	117	1	journal	journal	PROPN
ajst-30546	117	2	of	of	ADP
ajst-30546	117	3	visual	visual	ADJ
ajst-30546	117	4	communication	communication	NOUN
ajst-30546	117	5	and	and	CCONJ
ajst-30546	117	6	image	image	NOUN
ajst-30546	117	7	representation	representation	NOUN
ajst-30546	117	8	,	,	PUNCT
ajst-30546	117	9	2023	2023	NUM
ajst-30546	117	10	,	,	PUNCT
ajst-30546	117	11	96	96	NUM
ajst-30546	117	12	:	:	SYM
ajst-30546	117	13	103932	103932	NUM
ajst-30546	117	14	.	.	PUNCT
ajst-30546	118	1	[	[	X
ajst-30546	118	2	3	3	X
ajst-30546	118	3	]	]	PUNCT
ajst-30546	118	4	xing	xing	PROPN
ajst-30546	118	5	x	x	PROPN
ajst-30546	118	6	,	,	PUNCT
ajst-30546	118	7	hu	hu	PROPN
ajst-30546	118	8	v	v	PROPN
ajst-30546	118	9	t	t	PROPN
ajst-30546	118	10	,	,	PUNCT
ajst-30546	118	11	metzen	metzen	NOUN
ajst-30546	118	12	j	j	PROPN
ajst-30546	118	13	h	h	PROPN
ajst-30546	118	14	,	,	PUNCT
ajst-30546	118	15	et	et	PROPN
ajst-30546	118	16	al	al	PROPN
ajst-30546	118	17	.	.	PUNCT
ajst-30546	119	1	retinex	retinex	ADJ
ajst-30546	119	2	-	-	PUNCT
ajst-30546	119	3	diffusion	diffusion	NOUN
ajst-30546	119	4	:	:	PUNCT
ajst-30546	119	5	on	on	ADP
ajst-30546	119	6	controlling	control	VERB
ajst-30546	119	7	illumination	illumination	NOUN
ajst-30546	119	8	conditions	condition	NOUN
ajst-30546	119	9	in	in	ADP
ajst-30546	119	10	diffusion	diffusion	NOUN
ajst-30546	119	11	models	model	NOUN
ajst-30546	119	12	via	via	ADP
ajst-30546	119	13	retinex	retinex	ADJ
ajst-30546	119	14	theory[j	theory[j	PROPN
ajst-30546	119	15	]	]	PUNCT
ajst-30546	119	16	.	.	PUNCT
ajst-30546	120	1	arxiv	arxiv	PROPN
ajst-30546	120	2	preprint	preprint	PROPN
ajst-30546	120	3	arxiv:2407.20785	arxiv:2407.20785	NOUN
ajst-30546	120	4	,	,	PUNCT
ajst-30546	120	5	2024	2024	NUM
ajst-30546	120	6	.	.	PUNCT
ajst-30546	121	1	[	[	X
ajst-30546	121	2	4	4	X
ajst-30546	121	3	]	]	X
ajst-30546	121	4	zhang	zhang	PROPN
ajst-30546	121	5	y	y	PROPN
ajst-30546	121	6	,	,	PUNCT
ajst-30546	121	7	balestra	balestra	PROPN
ajst-30546	121	8	g	g	PROPN
ajst-30546	121	9	,	,	PUNCT
ajst-30546	121	10	zhang	zhang	PROPN
ajst-30546	121	11	k	k	PROPN
ajst-30546	121	12	,	,	PUNCT
ajst-30546	121	13	et	et	PROPN
ajst-30546	121	14	al	al	PROPN
ajst-30546	121	15	.	.	PROPN
ajst-30546	121	16	multitrans	multitrans	PROPN
ajst-30546	121	17	:	:	PUNCT
ajst-30546	121	18	multi	multi	ADJ
ajst-30546	121	19	-	-	ADJ
ajst-30546	121	20	branch	branch	ADJ
ajst-30546	121	21	transformer	transformer	NOUN
ajst-30546	121	22	network	network	NOUN
ajst-30546	121	23	for	for	ADP
ajst-30546	121	24	medical	medical	ADJ
ajst-30546	121	25	image	image	NOUN
ajst-30546	121	26	segmentation[j	segmentation[j	PROPN
ajst-30546	121	27	]	]	PUNCT
ajst-30546	121	28	.	.	PUNCT
ajst-30546	122	1	computer	computer	NOUN
ajst-30546	122	2	methods	method	NOUN
ajst-30546	122	3	and	and	CCONJ
ajst-30546	122	4	programs	program	NOUN
ajst-30546	122	5	in	in	ADP
ajst-30546	122	6	biomedicine	biomedicine	NOUN
ajst-30546	122	7	,	,	PUNCT
ajst-30546	122	8	2024	2024	NUM
ajst-30546	122	9	:	:	PUNCT
ajst-30546	122	10	108280	108280	NUM
ajst-30546	122	11	.	.	PUNCT
ajst-30546	123	1	[	[	X
ajst-30546	123	2	5	5	X
ajst-30546	123	3	]	]	PUNCT
ajst-30546	123	4	ding	de	VERB
ajst-30546	123	5	y	y	PROPN
ajst-30546	123	6	,	,	PUNCT
ajst-30546	123	7	wu	wu	PROPN
ajst-30546	123	8	k.	k.	PROPN
ajst-30546	124	1	a	a	DET
ajst-30546	124	2	multi	multi	ADJ
ajst-30546	124	3	-	-	ADJ
ajst-30546	124	4	task	task	ADJ
ajst-30546	124	5	learning	learning	NOUN
ajst-30546	124	6	and	and	CCONJ
ajst-30546	124	7	knowledge	knowledge	NOUN
ajst-30546	124	8	selection	selection	NOUN
ajst-30546	124	9	strategy	strategy	NOUN
ajst-30546	124	10	for	for	ADP
ajst-30546	124	11	environment	environment	NOUN
ajst-30546	124	12	-	-	PUNCT
ajst-30546	124	13	induced	induce	VERB
ajst-30546	124	14	color	color	NOUN
ajst-30546	124	15	-	-	PUNCT
ajst-30546	124	16	distorted	distort	VERB
ajst-30546	124	17	image	image	NOUN
ajst-30546	124	18	restoration[j	restoration[j	NOUN
ajst-30546	124	19	]	]	PUNCT
ajst-30546	124	20	.	.	PUNCT
ajst-30546	125	1	applied	apply	VERB
ajst-30546	125	2	sciences	science	NOUN
ajst-30546	125	3	,	,	PUNCT
ajst-30546	125	4	2024	2024	NUM
ajst-30546	125	5	,	,	PUNCT
ajst-30546	125	6	14(5	14(5	NUM
ajst-30546	125	7	):	):	PUNCT
ajst-30546	125	8	1836	1836	NUM
ajst-30546	125	9	.	.	PUNCT
ajst-30546	126	1	[	[	X
ajst-30546	126	2	6	6	NUM
ajst-30546	126	3	]	]	SYM
ajst-30546	126	4	jocher	jocher	PROPN
ajst-30546	126	5	,	,	PUNCT
ajst-30546	126	6	glenn	glenn	PROPN
ajst-30546	126	7	,	,	PUNCT
ajst-30546	126	8	ayush	ayush	PROPN
ajst-30546	126	9	chaurasia	chaurasia	PROPN
ajst-30546	126	10	,	,	PUNCT
ajst-30546	126	11	and	and	CCONJ
ajst-30546	126	12	jing	jing	PROPN
ajst-30546	126	13	qiu	qiu	PROPN
ajst-30546	126	14	.	.	PUNCT
ajst-30546	127	1	"	"	PUNCT
ajst-30546	127	2	yolo	yolo	ADV
ajst-30546	127	3	by	by	ADP
ajst-30546	127	4	ultralytics	ultralytic	NOUN
ajst-30546	127	5	.	.	PUNCT
ajst-30546	127	6	"	"	PUNCT
ajst-30546	128	1	(	(	PUNCT
ajst-30546	128	2	2023	2023	NUM
ajst-30546	128	3	):	):	PUNCT
ajst-30546	128	4	17	17	NUM
ajst-30546	128	5	.	.	PUNCT
ajst-30546	129	1	[	[	X
ajst-30546	129	2	7	7	X
ajst-30546	129	3	]	]	X
ajst-30546	129	4	wang	wang	PROPN
ajst-30546	129	5	w	w	PROPN
ajst-30546	129	6	,	,	PUNCT
ajst-30546	129	7	wang	wang	PROPN
ajst-30546	129	8	y.	y.	PROPN
ajst-30546	129	9	underwater	underwater	PROPN
ajst-30546	129	10	target	target	NOUN
ajst-30546	129	11	detection	detection	NOUN
ajst-30546	129	12	system	system	NOUN
ajst-30546	129	13	based	base	VERB
ajst-30546	129	14	on	on	ADP
ajst-30546	129	15	yolo	yolo	PROPN
ajst-30546	129	16	v4[c]//2021	v4[c]//2021	PROPN
ajst-30546	130	1	2nd	2nd	ADJ
ajst-30546	130	2	international	international	ADJ
ajst-30546	130	3	conference	conference	NOUN
ajst-30546	130	4	on	on	ADP
ajst-30546	130	5	artificial	artificial	ADJ
ajst-30546	130	6	intelligence	intelligence	NOUN
ajst-30546	130	7	and	and	CCONJ
ajst-30546	130	8	information	information	NOUN
ajst-30546	130	9	systems	system	NOUN
ajst-30546	130	10	.	.	PUNCT
ajst-30546	131	1	2021	2021	NUM
ajst-30546	131	2	:	:	PUNCT
ajst-30546	131	3	1	1	NUM
ajst-30546	131	4	-	-	SYM
ajst-30546	131	5	5	5	NUM
ajst-30546	131	6	.	.	PUNCT
ajst-30546	132	1	[	[	X
ajst-30546	132	2	8	8	NUM
ajst-30546	132	3	]	]	PUNCT
ajst-30546	132	4	jin	jin	NOUN
ajst-30546	132	5	y	y	PROPN
ajst-30546	132	6	,	,	PUNCT
ajst-30546	132	7	tian	tian	PROPN
ajst-30546	132	8	x	x	X
ajst-30546	132	9	,	,	PUNCT
ajst-30546	132	10	zhang	zhang	PROPN
ajst-30546	132	11	z	z	PROPN
ajst-30546	132	12	,	,	PUNCT
ajst-30546	132	13	et	et	PROPN
ajst-30546	132	14	al	al	PROPN
ajst-30546	132	15	.	.	PUNCT
ajst-30546	133	1	c2f	c2f	PROPN
ajst-30546	133	2	:	:	PUNCT
ajst-30546	133	3	an	an	DET
ajst-30546	133	4	effective	effective	ADJ
ajst-30546	133	5	coarse	coarse	NOUN
ajst-30546	133	6	-	-	PUNCT
ajst-30546	133	7	to	to	ADP
ajst-30546	133	8	-	-	PUNCT
ajst-30546	133	9	fine	fine	ADJ
ajst-30546	133	10	network	network	NOUN
ajst-30546	133	11	for	for	ADP
ajst-30546	133	12	video	video	NOUN
ajst-30546	133	13	summarization[j	summarization[j	PROPN
ajst-30546	133	14	]	]	PUNCT
ajst-30546	133	15	.	.	PUNCT
ajst-30546	134	1	image	image	NOUN
ajst-30546	134	2	and	and	CCONJ
ajst-30546	134	3	vision	vision	NOUN
ajst-30546	134	4	computing	computing	NOUN
ajst-30546	134	5	,	,	PUNCT
ajst-30546	134	6	2024	2024	NUM
ajst-30546	134	7	,	,	PUNCT
ajst-30546	134	8	144	144	NUM
ajst-30546	134	9	:	:	SYM
ajst-30546	134	10	104962	104962	NUM
ajst-30546	134	11	.	.	PUNCT
ajst-30546	135	1	[	[	X
ajst-30546	135	2	9	9	NUM
ajst-30546	135	3	]	]	X
ajst-30546	135	4	zhang	zhang	PROPN
ajst-30546	135	5	g	g	PROPN
ajst-30546	135	6	,	,	PUNCT
ajst-30546	135	7	wang	wang	PROPN
ajst-30546	135	8	c	c	PROPN
ajst-30546	135	9	,	,	PUNCT
ajst-30546	135	10	xiao	xiao	PROPN
ajst-30546	135	11	d.	d.	PROPN
ajst-30546	135	12	a	a	DET
ajst-30546	135	13	novel	novel	ADJ
ajst-30546	135	14	daily	daily	ADJ
ajst-30546	135	15	behavior	behavior	NOUN
ajst-30546	135	16	recognition	recognition	NOUN
ajst-30546	135	17	model	model	NOUN
ajst-30546	135	18	for	for	ADP
ajst-30546	135	19	cage	cage	NOUN
ajst-30546	135	20	-	-	PUNCT
ajst-30546	135	21	reared	rear	VERB
ajst-30546	135	22	ducks	duck	NOUN
ajst-30546	135	23	by	by	ADP
ajst-30546	135	24	improving	improve	VERB
ajst-30546	135	25	sppf	sppf	ADJ
ajst-30546	135	26	and	and	CCONJ
ajst-30546	135	27	c3	c3	PROPN
ajst-30546	135	28	of	of	ADP
ajst-30546	135	29	yolov5s[j	yolov5s[j	PROPN
ajst-30546	135	30	]	]	PUNCT
ajst-30546	135	31	.	.	PUNCT
ajst-30546	136	1	computers	computer	NOUN
ajst-30546	136	2	and	and	CCONJ
ajst-30546	136	3	electronics	electronic	NOUN
ajst-30546	136	4	in	in	ADP
ajst-30546	136	5	agriculture	agriculture	NOUN
ajst-30546	136	6	,	,	PUNCT
ajst-30546	136	7	2024	2024	NUM
ajst-30546	136	8	,	,	PUNCT
ajst-30546	136	9	227	227	NUM
ajst-30546	136	10	:	:	SYM
ajst-30546	136	11	109580	109580	NUM
ajst-30546	136	12	.	.	PUNCT
ajst-30546	137	1	[	[	X
ajst-30546	137	2	10	10	NUM
ajst-30546	137	3	]	]	X
ajst-30546	137	4	bakirci	bakirci	ADJ
ajst-30546	137	5	m.	m.	NOUN
ajst-30546	137	6	enhancing	enhance	VERB
ajst-30546	137	7	vehicle	vehicle	NOUN
ajst-30546	137	8	detection	detection	NOUN
ajst-30546	137	9	in	in	ADP
ajst-30546	137	10	intelligent	intelligent	ADJ
ajst-30546	137	11	transportation	transportation	NOUN
ajst-30546	137	12	systems	system	NOUN
ajst-30546	137	13	via	via	ADP
ajst-30546	137	14	autonomous	autonomous	PROPN
ajst-30546	137	15	uav	uav	PROPN
ajst-30546	137	16	platform	platform	NOUN
ajst-30546	137	17	and	and	CCONJ
ajst-30546	137	18	yolov8	yolov8	NOUN
ajst-30546	137	19	integration[j	integration[j	PROPN
ajst-30546	137	20	]	]	PUNCT
ajst-30546	137	21	.	.	PUNCT
ajst-30546	137	22	applied	apply	VERB
ajst-30546	137	23	soft	soft	ADJ
ajst-30546	137	24	computing	computing	NOUN
ajst-30546	137	25	,	,	PUNCT
ajst-30546	137	26	2024	2024	NUM
ajst-30546	137	27	,	,	PUNCT
ajst-30546	137	28	164	164	NUM
ajst-30546	137	29	:	:	SYM
ajst-30546	137	30	112015	112015	NUM
ajst-30546	137	31	.	.	PUNCT
ajst-30546	138	1	[	[	X
ajst-30546	138	2	11	11	NUM
ajst-30546	138	3	]	]	X
ajst-30546	138	4	huang	huang	PROPN
ajst-30546	138	5	x	x	PROPN
ajst-30546	138	6	,	,	PUNCT
ajst-30546	138	7	wang	wang	PROPN
ajst-30546	138	8	x	x	PROPN
ajst-30546	138	9	,	,	PUNCT
ajst-30546	138	10	teng	teng	PROPN
ajst-30546	138	11	q	q	PROPN
ajst-30546	138	12	,	,	PUNCT
ajst-30546	138	13	et	et	PROPN
ajst-30546	138	14	al	al	PROPN
ajst-30546	138	15	.	.	PUNCT
ajst-30546	138	16	degradation	degradation	NOUN
ajst-30546	138	17	type	type	NOUN
ajst-30546	138	18	-	-	PUNCT
ajst-30546	138	19	aware	aware	ADJ
ajst-30546	138	20	image	image	NOUN
ajst-30546	138	21	restoration	restoration	NOUN
ajst-30546	138	22	for	for	ADP
ajst-30546	138	23	effective	effective	ADJ
ajst-30546	138	24	object	object	NOUN
ajst-30546	138	25	detection	detection	NOUN
ajst-30546	138	26	in	in	ADP
ajst-30546	138	27	adverse	adverse	ADJ
ajst-30546	138	28	weather[j	weather[j	NOUN
ajst-30546	138	29	]	]	PUNCT
ajst-30546	138	30	.	.	PUNCT
ajst-30546	139	1	sensors	sensor	NOUN
ajst-30546	139	2	,	,	PUNCT
ajst-30546	139	3	2024	2024	NUM
ajst-30546	139	4	,	,	PUNCT
ajst-30546	139	5	24(19	24(19	NUM
ajst-30546	139	6	):	):	PUNCT
ajst-30546	139	7	6330	6330	NUM
ajst-30546	139	8	.	.	PUNCT
ajst-30546	140	1	[	[	X
ajst-30546	140	2	12	12	NUM
ajst-30546	140	3	]	]	X
ajst-30546	140	4	li	li	PROPN
ajst-30546	140	5	l	l	PROPN
ajst-30546	140	6	,	,	PUNCT
ajst-30546	140	7	xu	xu	PROPN
ajst-30546	140	8	w	w	PROPN
ajst-30546	140	9	,	,	PUNCT
ajst-30546	140	10	gao	gao	PROPN
ajst-30546	140	11	y	y	PROPN
ajst-30546	140	12	,	,	PUNCT
ajst-30546	140	13	et	et	PROPN
ajst-30546	140	14	al	al	PROPN
ajst-30546	140	15	.	.	PUNCT
ajst-30546	140	16	attention	attention	NOUN
ajst-30546	140	17	-	-	PUNCT
ajst-30546	140	18	oriented	orient	VERB
ajst-30546	140	19	residual	residual	ADJ
ajst-30546	140	20	block	block	NOUN
ajst-30546	140	21	for	for	ADP
ajst-30546	140	22	real	real	ADJ
ajst-30546	140	23	-	-	PUNCT
ajst-30546	140	24	time	time	NOUN
ajst-30546	140	25	low	low	ADJ
ajst-30546	140	26	-	-	PUNCT
ajst-30546	140	27	light	light	NOUN
ajst-30546	140	28	image	image	NOUN
ajst-30546	140	29	enhancement	enhancement	NOUN
ajst-30546	140	30	in	in	ADP
ajst-30546	140	31	smart	smart	ADJ
ajst-30546	140	32	ports[j	ports[j	NOUN
ajst-30546	140	33	]	]	PUNCT
ajst-30546	140	34	.	.	PUNCT
ajst-30546	141	1	computers	computer	NOUN
ajst-30546	141	2	and	and	CCONJ
ajst-30546	141	3	electrical	electrical	ADJ
ajst-30546	141	4	engineering	engineering	NOUN
ajst-30546	141	5	,	,	PUNCT
ajst-30546	141	6	2024	2024	NUM
ajst-30546	141	7	,	,	PUNCT
ajst-30546	141	8	120	120	NUM
ajst-30546	141	9	:	:	SYM
ajst-30546	141	10	109634	109634	NUM
ajst-30546	141	11	.	.	PUNCT
ajst-30546	142	1	[	[	X
ajst-30546	142	2	13	13	NUM
ajst-30546	142	3	]	]	X
ajst-30546	142	4	wang	wang	PROPN
ajst-30546	142	5	j.	j.	PROPN
ajst-30546	142	6	cable	cable	PROPN
ajst-30546	142	7	lines	lines	PROPN
ajst-30546	142	8	detection	detection	NOUN
ajst-30546	142	9	of	of	ADP
ajst-30546	142	10	road	road	NOUN
ajst-30546	142	11	charging	charge	VERB
ajst-30546	142	12	piles	pile	NOUN
ajst-30546	142	13	using	use	VERB
ajst-30546	142	14	improved	improve	VERB
ajst-30546	142	15	yolov8[c]//2024	yolov8[c]//2024	NUM
ajst-30546	142	16	6th	6th	ADJ
ajst-30546	142	17	international	international	ADJ
ajst-30546	142	18	conference	conference	NOUN
ajst-30546	142	19	on	on	ADP
ajst-30546	142	20	communications	communication	NOUN
ajst-30546	142	21	,	,	PUNCT
ajst-30546	142	22	information	information	NOUN
ajst-30546	142	23	system	system	NOUN
ajst-30546	142	24	and	and	CCONJ
ajst-30546	142	25	computer	computer	NOUN
ajst-30546	142	26	engineering	engineering	NOUN
ajst-30546	142	27	(	(	PUNCT
ajst-30546	142	28	cisce	cisce	NOUN
ajst-30546	142	29	)	)	PUNCT
ajst-30546	142	30	.	.	PUNCT
ajst-30546	143	1	ieee	ieee	NOUN
ajst-30546	143	2	,	,	PUNCT
ajst-30546	143	3	2024	2024	NUM
ajst-30546	143	4	:	:	PUNCT
ajst-30546	143	5	969	969	NUM
ajst-30546	143	6	-	-	SYM
ajst-30546	143	7	972	972	NUM
ajst-30546	143	8	.	.	PUNCT
ajst-30546	144	1	[	[	X
ajst-30546	144	2	14	14	NUM
ajst-30546	144	3	]	]	X
ajst-30546	144	4	woo	woo	NOUN
ajst-30546	144	5	s	s	PROPN
ajst-30546	144	6	,	,	PUNCT
ajst-30546	144	7	park	park	PROPN
ajst-30546	144	8	j	j	PROPN
ajst-30546	144	9	,	,	PUNCT
ajst-30546	144	10	lee	lee	PROPN
ajst-30546	144	11	j	j	PROPN
ajst-30546	144	12	y	y	PROPN
ajst-30546	144	13	,	,	PUNCT
ajst-30546	144	14	et	et	PROPN
ajst-30546	144	15	al	al	PROPN
ajst-30546	144	16	.	.	PUNCT
ajst-30546	144	17	cbam	cbam	NOUN
ajst-30546	144	18	:	:	PUNCT
ajst-30546	144	19	convolutional	convolutional	ADJ
ajst-30546	144	20	block	block	NOUN
ajst-30546	144	21	attention	attention	NOUN
ajst-30546	144	22	module[c]//proceedings	module[c]//proceeding	NOUN
ajst-30546	144	23	of	of	ADP
ajst-30546	144	24	the	the	DET
ajst-30546	144	25	european	european	PROPN
ajst-30546	144	26	conference	conference	PROPN
ajst-30546	144	27	on	on	ADP
ajst-30546	144	28	computer	computer	NOUN
ajst-30546	144	29	vision	vision	NOUN
ajst-30546	144	30	(	(	PUNCT
ajst-30546	144	31	eccv	eccv	ADV
ajst-30546	144	32	)	)	PUNCT
ajst-30546	144	33	.	.	PUNCT
ajst-30546	145	1	2018	2018	NUM
ajst-30546	145	2	:	:	PUNCT
ajst-30546	145	3	3	3	NUM
ajst-30546	145	4	-	-	SYM
ajst-30546	145	5	19	19	NUM
ajst-30546	145	6	.	.	PUNCT
ajst-30546	146	1	[	[	X
ajst-30546	146	2	15	15	NUM
ajst-30546	146	3	]	]	X
ajst-30546	146	4	xu	xu	PROPN
ajst-30546	146	5	y	y	PROPN
ajst-30546	146	6	,	,	PUNCT
ajst-30546	146	7	wen	wen	PROPN
ajst-30546	146	8	j	j	PROPN
ajst-30546	146	9	,	,	PUNCT
ajst-30546	146	10	fei	fei	PROPN
ajst-30546	146	11	l	l	PROPN
ajst-30546	146	12	,	,	PUNCT
ajst-30546	146	13	et	et	PROPN
ajst-30546	146	14	al	al	PROPN
ajst-30546	146	15	.	.	PROPN
ajst-30546	146	16	review	review	PROPN
ajst-30546	146	17	of	of	ADP
ajst-30546	146	18	video	video	NOUN
ajst-30546	146	19	and	and	CCONJ
ajst-30546	146	20	image	image	NOUN
ajst-30546	146	21	defogging	defogge	VERB
ajst-30546	146	22	algorithms	algorithm	NOUN
ajst-30546	146	23	and	and	CCONJ
ajst-30546	146	24	related	relate	VERB
ajst-30546	146	25	studies	study	NOUN
ajst-30546	146	26	on	on	ADP
ajst-30546	146	27	image	image	NOUN
ajst-30546	146	28	restoration	restoration	NOUN
ajst-30546	146	29	and	and	CCONJ
ajst-30546	146	30	enhancement[j	enhancement[j	NOUN
ajst-30546	146	31	]	]	PUNCT
ajst-30546	146	32	.	.	PUNCT
ajst-30546	147	1	ieee	ieee	NOUN
ajst-30546	147	2	access	access	NOUN
ajst-30546	147	3	,	,	PUNCT
ajst-30546	147	4	2015	2015	NUM
ajst-30546	147	5	,	,	PUNCT
ajst-30546	147	6	4	4	NUM
ajst-30546	147	7	:	:	SYM
ajst-30546	147	8	165	165	NUM
ajst-30546	147	9	-	-	SYM
ajst-30546	147	10	188	188	NUM
ajst-30546	147	11	.	.	PUNCT
ajst-30546	148	1	[	[	X
ajst-30546	148	2	16	16	NUM
ajst-30546	148	3	]	]	X
ajst-30546	148	4	ghari	ghari	PROPN
ajst-30546	148	5	b	b	PROPN
ajst-30546	148	6	,	,	PUNCT
ajst-30546	148	7	tourani	tourani	NOUN
ajst-30546	148	8	a	a	PRON
ajst-30546	148	9	,	,	PUNCT
ajst-30546	148	10	shahbahrami	shahbahrami	NOUN
ajst-30546	148	11	a	a	X
ajst-30546	148	12	,	,	PUNCT
ajst-30546	148	13	et	et	PROPN
ajst-30546	148	14	al	al	PROPN
ajst-30546	148	15	.	.	PUNCT
ajst-30546	148	16	pedestrian	pedestrian	NOUN
ajst-30546	148	17	detection	detection	NOUN
ajst-30546	148	18	in	in	ADP
ajst-30546	148	19	low	low	ADJ
ajst-30546	148	20	-	-	PUNCT
ajst-30546	148	21	light	light	NOUN
ajst-30546	148	22	conditions	condition	NOUN
ajst-30546	148	23	:	:	PUNCT
ajst-30546	148	24	a	a	DET
ajst-30546	148	25	comprehensive	comprehensive	ADJ
ajst-30546	148	26	survey[j	survey[j	NOUN
ajst-30546	148	27	]	]	PUNCT
ajst-30546	148	28	.	.	PUNCT
ajst-30546	149	1	image	image	NOUN
ajst-30546	149	2	and	and	CCONJ
ajst-30546	149	3	vision	vision	NOUN
ajst-30546	149	4	computing	computing	NOUN
ajst-30546	149	5	,	,	PUNCT
ajst-30546	149	6	2024	2024	NUM
ajst-30546	149	7	:	:	PUNCT
ajst-30546	149	8	105106	105106	NUM
ajst-30546	149	9	.	.	PUNCT
ajst-30546	150	1	[	[	X
ajst-30546	150	2	17	17	NUM
ajst-30546	150	3	]	]	X
ajst-30546	150	4	qiu	qiu	PROPN
ajst-30546	150	5	y	y	PROPN
ajst-30546	150	6	,	,	PUNCT
ajst-30546	150	7	zhang	zhang	PROPN
ajst-30546	150	8	k	k	PROPN
ajst-30546	150	9	,	,	PUNCT
ajst-30546	150	10	wang	wang	PROPN
ajst-30546	150	11	c	c	AUX
ajst-30546	150	12	,	,	PUNCT
ajst-30546	150	13	et	et	PROPN
ajst-30546	150	14	al	al	PROPN
ajst-30546	150	15	.	.	PUNCT
ajst-30546	151	1	mb	mb	NOUN
ajst-30546	151	2	-	-	NOUN
ajst-30546	151	3	taylorformer	taylorformer	ADJ
ajst-30546	151	4	:	:	PUNCT
ajst-30546	151	5	multi	multi	ADJ
ajst-30546	151	6	-	-	ADJ
ajst-30546	151	7	branch	branch	ADJ
ajst-30546	151	8	efficient	efficient	ADJ
ajst-30546	151	9	transformer	transformer	NOUN
ajst-30546	151	10	expanded	expand	VERB
ajst-30546	151	11	by	by	ADP
ajst-30546	151	12	taylor	taylor	NOUN
ajst-30546	151	13	formula	formula	NOUN
ajst-30546	151	14	for	for	ADP
ajst-30546	151	15	image	image	NOUN
ajst-30546	151	16	dehazing[c]//proceedings	dehazing[c]//proceeding	NOUN
ajst-30546	151	17	of	of	ADP
ajst-30546	151	18	the	the	DET
ajst-30546	151	19	ieee	ieee	NOUN
ajst-30546	151	20	/	/	SYM
ajst-30546	151	21	cvf	cvf	NOUN
ajst-30546	151	22	international	international	ADJ
ajst-30546	151	23	conference	conference	NOUN
ajst-30546	151	24	on	on	ADP
ajst-30546	151	25	computer	computer	NOUN
ajst-30546	151	26	vision	vision	NOUN
ajst-30546	151	27	.	.	PUNCT
ajst-30546	152	1	2023	2023	NUM
ajst-30546	152	2	:	:	PUNCT
ajst-30546	152	3	12802	12802	NUM
ajst-30546	152	4	-	-	SYM
ajst-30546	152	5	12813	12813	NUM
ajst-30546	152	6	.	.	PUNCT
ajst-30546	153	1	[	[	X
ajst-30546	153	2	18	18	NUM
ajst-30546	153	3	]	]	X
ajst-30546	153	4	bian	bian	PROPN
ajst-30546	153	5	j	j	PROPN
ajst-30546	153	6	,	,	PUNCT
ajst-30546	153	7	ding	ding	NOUN
ajst-30546	153	8	s	s	PROPN
ajst-30546	153	9	,	,	PUNCT
ajst-30546	153	10	deng	deng	PROPN
ajst-30546	153	11	w	w	PROPN
ajst-30546	153	12	,	,	PUNCT
ajst-30546	153	13	et	et	PROPN
ajst-30546	153	14	al	al	PROPN
ajst-30546	153	15	.	.	PUNCT
ajst-30546	154	1	a	a	DET
ajst-30546	154	2	fast	fast	ADJ
ajst-30546	154	3	foggy	foggy	ADJ
ajst-30546	154	4	sea	sea	NOUN
ajst-30546	154	5	ice	ice	NOUN
ajst-30546	154	6	image	image	NOUN
ajst-30546	154	7	lightweight	lightweight	ADJ
ajst-30546	154	8	dehazing	dehaze	VERB
ajst-30546	154	9	algorithm	algorithm	NOUN
ajst-30546	154	10	using	use	VERB
ajst-30546	154	11	all	all	ADV
ajst-30546	154	12	-	-	PUNCT
ajst-30546	154	13	in	in	ADP
ajst-30546	154	14	-	-	PUNCT
ajst-30546	154	15	one	one	NUM
ajst-30546	154	16	dehazing	dehaze	VERB
ajst-30546	154	17	network	network	NOUN
ajst-30546	154	18	with	with	ADP
ajst-30546	154	19	convolutional	convolutional	ADJ
ajst-30546	154	20	block	block	NOUN
ajst-30546	154	21	attention	attention	NOUN
ajst-30546	154	22	mechanism	mechanism	NOUN
ajst-30546	154	23	and	and	CCONJ
ajst-30546	154	24	pyramid	pyramid	NOUN
ajst-30546	154	25	pooling	pool	VERB
ajst-30546	154	26	module[j	module[j	NOUN
ajst-30546	154	27	]	]	PUNCT
ajst-30546	154	28	.	.	PUNCT
ajst-30546	155	1	available	available	ADJ
ajst-30546	155	2	at	at	ADP
ajst-30546	155	3	ssrn	ssrn	PROPN
ajst-30546	155	4	4976578	4976578	NUM
ajst-30546	155	5	.	.	PUNCT
ajst-30546	156	1	[	[	X
ajst-30546	156	2	19	19	NUM
ajst-30546	156	3	]	]	X
ajst-30546	156	4	cai	cai	X
ajst-30546	156	5	y	y	PROPN
ajst-30546	156	6	,	,	PUNCT
ajst-30546	156	7	bian	bian	PROPN
ajst-30546	156	8	h	h	NOUN
ajst-30546	156	9	,	,	PUNCT
ajst-30546	156	10	lin	lin	PROPN
ajst-30546	156	11	j	j	PROPN
ajst-30546	156	12	,	,	PUNCT
ajst-30546	156	13	et	et	PROPN
ajst-30546	156	14	al	al	PROPN
ajst-30546	156	15	.	.	PUNCT
ajst-30546	156	16	retinexformer	retinexformer	NOUN
ajst-30546	156	17	:	:	PUNCT
ajst-30546	156	18	one	one	NUM
ajst-30546	156	19	-	-	PUNCT
ajst-30546	156	20	stage	stage	NOUN
ajst-30546	156	21	retinexbased	retinexbase	VERB
ajst-30546	156	22	transformer	transformer	NOUN
ajst-30546	156	23	for	for	ADP
ajst-30546	156	24	low	low	ADJ
ajst-30546	156	25	-	-	PUNCT
ajst-30546	156	26	light	light	NOUN
ajst-30546	156	27	image	image	NOUN
ajst-30546	156	28	enhancement	enhancement	NOUN
ajst-30546	156	29	[	[	X
ajst-30546	156	30	c]/	c]/	NOUN
ajst-30546	156	31	/proceedings	/proceeding	NOUN
ajst-30546	156	32	of	of	ADP
ajst-30546	156	33	the	the	DET
ajst-30546	156	34	ieee	ieee	NOUN
ajst-30546	156	35	/	/	SYM
ajst-30546	156	36	cvf	cvf	NOUN
ajst-30546	156	37	international	international	ADJ
ajst-30546	156	38	conference	conference	NOUN
ajst-30546	156	39	on	on	ADP
ajst-30546	156	40	computer	computer	NOUN
ajst-30546	156	41	vision	vision	NOUN
ajst-30546	156	42	.	.	PUNCT
ajst-30546	157	1	2023	2023	NUM
ajst-30546	157	2	:	:	PUNCT
ajst-30546	157	3	12504	12504	NUM
ajst-30546	157	4	-	-	SYM
ajst-30546	157	5	12513	12513	NUM
ajst-30546	157	6	.	.	PUNCT
ajst-30546	158	1	[	[	X
ajst-30546	158	2	20	20	NUM
ajst-30546	158	3	]	]	SYM
ajst-30546	158	4	li	li	PROPN
ajst-30546	158	5	b	b	PROPN
ajst-30546	158	6	,	,	PUNCT
ajst-30546	158	7	ren	ren	PROPN
ajst-30546	158	8	w	w	PROPN
ajst-30546	158	9	,	,	PUNCT
ajst-30546	158	10	fu	fu	NOUN
ajst-30546	158	11	d	d	PROPN
ajst-30546	158	12	,	,	PUNCT
ajst-30546	158	13	et	et	PROPN
ajst-30546	158	14	al	al	PROPN
ajst-30546	158	15	.	.	PUNCT
ajst-30546	158	16	benchmarking	benchmarke	VERB
ajst-30546	158	17	single	single	ADJ
ajst-30546	158	18	-	-	PUNCT
ajst-30546	158	19	image	image	NOUN
ajst-30546	158	20	dehazing	dehazing	NOUN
ajst-30546	158	21	and	and	CCONJ
ajst-30546	158	22	beyond[j	beyond[j	NOUN
ajst-30546	158	23	]	]	PUNCT
ajst-30546	158	24	.	.	PUNCT
ajst-30546	159	1	ieee	ieee	NOUN
ajst-30546	159	2	transactions	transaction	NOUN
ajst-30546	159	3	on	on	ADP
ajst-30546	159	4	image	image	NOUN
ajst-30546	159	5	processing	processing	NOUN
ajst-30546	159	6	,	,	PUNCT
ajst-30546	159	7	2018	2018	NUM
ajst-30546	159	8	,	,	PUNCT
ajst-30546	159	9	28(1	28(1	NOUN
ajst-30546	159	10	):	):	PUNCT
ajst-30546	159	11	492	492	NUM
ajst-30546	159	12	-	-	SYM
ajst-30546	159	13	505	505	NUM
ajst-30546	159	14	.	.	PUNCT
ajst-30546	160	1	[	[	X
ajst-30546	160	2	21	21	NUM
ajst-30546	160	3	]	]	X
ajst-30546	160	4	padilla	padilla	PROPN
ajst-30546	160	5	r	r	PROPN
ajst-30546	160	6	,	,	PUNCT
ajst-30546	160	7	netto	netto	PROPN
ajst-30546	160	8	s	s	PROPN
ajst-30546	160	9	l	l	PROPN
ajst-30546	160	10	,	,	PUNCT
ajst-30546	160	11	da	da	PROPN
ajst-30546	160	12	silva	silva	PROPN
ajst-30546	160	13	e	e	PROPN
ajst-30546	160	14	a	a	PROPN
ajst-30546	160	15	b.	b.	PROPN
ajst-30546	160	16	a	a	DET
ajst-30546	160	17	survey	survey	NOUN
ajst-30546	160	18	on	on	ADP
ajst-30546	160	19	performance	performance	NOUN
ajst-30546	160	20	metrics	metric	NOUN
ajst-30546	160	21	for	for	ADP
ajst-30546	160	22	object	object	NOUN
ajst-30546	160	23	-	-	PUNCT
ajst-30546	160	24	detection	detection	NOUN
ajst-30546	160	25	algorithms[c]//2020	algorithms[c]//2020	ADP
ajst-30546	160	26	international	international	ADJ
ajst-30546	160	27	conference	conference	NOUN
ajst-30546	160	28	on	on	ADP
ajst-30546	160	29	systems	system	NOUN
ajst-30546	160	30	,	,	PUNCT
ajst-30546	160	31	signals	signal	NOUN
ajst-30546	160	32	and	and	CCONJ
ajst-30546	160	33	image	image	NOUN
ajst-30546	160	34	processing	processing	NOUN
ajst-30546	160	35	(	(	PUNCT
ajst-30546	160	36	iwssip	iwssip	NOUN
ajst-30546	160	37	)	)	PUNCT
ajst-30546	160	38	.	.	PUNCT
ajst-30546	161	1	ieee	ieee	PROPN
ajst-30546	161	2	,	,	PUNCT
ajst-30546	161	3	2020	2020	NUM
ajst-30546	161	4	:	:	PUNCT
ajst-30546	161	5	237	237	NUM
ajst-30546	161	6	-	-	SYM
ajst-30546	161	7	242	242	NUM
ajst-30546	161	8	.	.	PUNCT
ajst-30546	162	1	[	[	X
ajst-30546	162	2	22	22	NUM
ajst-30546	162	3	]	]	X
ajst-30546	162	4	khan	khan	PROPN
ajst-30546	162	5	h	h	PROPN
ajst-30546	162	6	,	,	PUNCT
ajst-30546	162	7	ullah	ullah	PROPN
ajst-30546	162	8	i	i	PROPN
ajst-30546	162	9	,	,	PUNCT
ajst-30546	162	10	shabaz	shabaz	PROPN
ajst-30546	162	11	m	m	PROPN
ajst-30546	162	12	,	,	PUNCT
ajst-30546	162	13	et	et	PROPN
ajst-30546	162	14	al	al	PROPN
ajst-30546	162	15	.	.	PUNCT
ajst-30546	163	1	visionary	visionary	ADJ
ajst-30546	163	2	vigilance	vigilance	NOUN
ajst-30546	163	3	:	:	PUNCT
ajst-30546	163	4	optimized	optimize	VERB
ajst-30546	163	5	yolov8	yolov8	NOUN
ajst-30546	163	6	for	for	ADP
ajst-30546	163	7	fallen	fall	VERB
ajst-30546	163	8	person	person	NOUN
ajst-30546	163	9	detection	detection	NOUN
ajst-30546	163	10	with	with	ADP
ajst-30546	163	11	largescale	largescale	NOUN
ajst-30546	163	12	benchmark	benchmark	NOUN
ajst-30546	163	13	dataset[j	dataset[j	NOUN
ajst-30546	163	14	]	]	PUNCT
ajst-30546	163	15	.	.	PUNCT
ajst-30546	164	1	image	image	NOUN
ajst-30546	164	2	and	and	CCONJ
ajst-30546	164	3	vision	vision	NOUN
ajst-30546	164	4	computing	computing	NOUN
ajst-30546	164	5	,	,	PUNCT
ajst-30546	164	6	2024	2024	NUM
ajst-30546	164	7	,	,	PUNCT
ajst-30546	164	8	149	149	NUM
ajst-30546	164	9	:	:	SYM
ajst-30546	164	10	105195	105195	NUM
ajst-30546	164	11	.	.	PUNCT
ajst-30546	165	1	[	[	X
ajst-30546	165	2	23	23	NUM
ajst-30546	165	3	]	]	X
ajst-30546	165	4	abdelaziz	abdelaziz	PROPN
ajst-30546	165	5	a	a	DET
ajst-30546	165	6	m	m	PROPN
ajst-30546	165	7	,	,	PUNCT
ajst-30546	165	8	mahmoud	mahmoud	PROPN
ajst-30546	165	9	f	f	PROPN
ajst-30546	165	10	a.	a.	PROPN
ajst-30546	165	11	visual	visual	PROPN
ajst-30546	165	12	and	and	CCONJ
ajst-30546	165	13	inertial	inertial	ADJ
ajst-30546	165	14	sensors	sensor	NOUN
ajst-30546	165	15	for	for	ADP
ajst-30546	165	16	robust	robust	ADJ
ajst-30546	165	17	autonomous	autonomous	ADJ
ajst-30546	165	18	vehicle	vehicle	NOUN
ajst-30546	165	19	navigation	navigation	NOUN
ajst-30546	165	20	in	in	ADP
ajst-30546	165	21	urban	urban	ADJ
ajst-30546	165	22	environments[j	environments[j	PROPN
ajst-30546	165	23	]	]	PUNCT
ajst-30546	165	24	.	.	PUNCT
ajst-30546	166	1	ai	ai	VERB
ajst-30546	166	2	,	,	PUNCT
ajst-30546	166	3	iot	iot	PROPN
ajst-30546	166	4	and	and	CCONJ
ajst-30546	166	5	the	the	DET
ajst-30546	166	6	fourth	fourth	PROPN
ajst-30546	166	7	industrial	industrial	PROPN
ajst-30546	166	8	revolution	revolution	PROPN
ajst-30546	166	9	review	review	PROPN
ajst-30546	166	10	,	,	PUNCT
ajst-30546	166	11	2022	2022	NUM
ajst-30546	166	12	,	,	PUNCT
ajst-30546	166	13	12(12	12(12	NUM
ajst-30546	166	14	):	):	PUNCT
ajst-30546	166	15	15	15	NUM
ajst-30546	166	16	-	-	SYM
ajst-30546	166	17	31	31	NUM
ajst-30546	166	18	.	.	PUNCT