{"id":"https://openalex.org/W4387587622","doi":"https://doi.org/10.1109/tii.2023.3316180","title":"Generative Adversarial and Self-Supervised Dehazing Network","display_name":"Generative Adversarial and Self-Supervised Dehazing Network","publication_year":2023,"publication_date":"2023-10-12","ids":{"openalex":"https://openalex.org/W4387587622","doi":"https://doi.org/10.1109/tii.2023.3316180"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3316180","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101544525","display_name":"Shengdong Zhang","orcid":"https://orcid.org/0000-0002-3805-785X"},"institutions":[{"id":"https://openalex.org/I192209268","display_name":"Shaoxing University","ror":"https://ror.org/0435tej63","country_code":"CN","type":"funder","lineage":["https://openalex.org/I192209268"]},{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"funder","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengdong Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shaoxing University, Shaoxing, China; Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing, China; Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I192209268","https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699785","display_name":"Xiaoqin Zhang","orcid":"https://orcid.org/0000-0003-0958-7285"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"funder","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqin Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003203521","display_name":"Shaohua Wan","orcid":"https://orcid.org/0000-0001-7013-9081"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Wan","raw_affiliation_strings":["Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057999649","display_name":"Wenqi Ren","orcid":"https://orcid.org/0000-0001-5481-653X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"funder","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Ren","raw_affiliation_strings":["School of Cyber Science and Technology, Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046409574","display_name":"Liping Zhao","orcid":"https://orcid.org/0000-0002-5538-2064"},"institutions":[{"id":"https://openalex.org/I192209268","display_name":"Shaoxing University","ror":"https://ror.org/0435tej63","country_code":"CN","type":"funder","lineage":["https://openalex.org/I192209268"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Zhao","raw_affiliation_strings":["Department of Computer Science and Engineering, Shaoxing University, Shaoxing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing, China","institution_ids":["https://openalex.org/I192209268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019313200","display_name":"Linlin Shen","orcid":"https://orcid.org/0000-0003-1420-0815"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"funder","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Shen","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.217,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.999961,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"20","issue":"3","first_page":"4187","last_page":"4197"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9987,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9987,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9968,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9961,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/haze","display_name":"Haze","score":0.65632904},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance","score":0.6000018}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7942095},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.65632904},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6000018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5969133},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5490261},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47799674},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3279913},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3316180","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62271321"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"U2033210"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"82261138629"},{"funder":"https://openalex.org/F4320329174","funder_display_name":"Shenzhen Municipal Science and Technology Innovation Council","award_id":"JCYJ20220531101412030"},{"funder":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","award_id":"2023A1515010688"},{"funder":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province","award_id":"LDT23F02024F02"}],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2397673276","https://openalex.org/W2394444438","https://openalex.org/W2388134306","https://openalex.org/W2387386748","https://openalex.org/W2377493372","https://openalex.org/W2377355001","https://openalex.org/W2374327637","https://openalex.org/W2371905190","https://openalex.org/W2348696601","https://openalex.org/W2318437963"],"abstract_inverted_index":{"Owing":[0],"to":[1,68,84,98,104,157,171,195],"the":[2,19,40,43,46,51,91,106,109,116,134,137,141,159,173,184,197,200,209,216,219,236],"fast":[3],"developments":[4],"of":[5,9,21,53,108,187,212,218],"economics,":[6],"a":[7,148],"lot":[8],"devices":[10],"and":[11,16,35,59,81,121,140,151,178,203,228],"objects":[12],"have":[13,17,26],"been":[14,27],"connected":[15],"formed":[18],"Internet":[20],"Things":[22],"(IoT).":[23],"Visual":[24],"sensors":[25],"applied":[28],"in":[29,42],"vehicle":[30,54],"navigation,":[31,55],"traffic":[32,36,56,60],"situational":[33,57],"awareness,":[34,58],"safety":[37,61],"management.":[38,62],"However,":[39,72,115],"particles":[41],"air":[44],"degrade":[45],"imaging":[47],"quality,":[48],"which":[49,181,206],"affects":[50],"performance":[52,161],"Deep-learning-based":[63],"dehazing":[64,128,131,153,160,241],"methods":[65,74,96,132],"were":[66],"proposed":[67,220,237],"address":[69,90],"this":[70],"issue.":[71],"these":[73,146],"are":[75],"trained":[76],"with":[77,233],"simulated":[78,229],"hazy":[79,142,204],"images":[80,87,123],"cannot":[82],"generalize":[83],"natural":[85,112,185],"haze":[86,113,164,230],"well.":[88],"To":[89,144,214],"domain":[92,102],"shift":[93],"problem,":[94],"some":[95],"resort":[97],"zero-shot":[99,127],"learning":[100,192],"or":[101],"adaption":[103],"boost":[105,158,183],"generalization":[107],"model":[110,238],"on":[111,162,226],"images.":[114,143,165,231],"relevance":[117,174,198],"between":[118,136,175,199],"dehazed":[119,138,176,188,201],"results":[120,139,177,202],"clean":[122],"is":[124,155,169,193],"ignored":[125],"by":[126],"methods.":[129],"Domain-adaption-based":[130],"ignore":[133],"relationship":[135],"overcome":[145],"issues,":[147],"generative":[149,167],"adversarial":[150,168],"self-supervised":[152,191],"network":[154],"introduced":[156],"real":[163,227],"First,":[166],"employed":[170,194],"construct":[172,196],"haze-free":[179],"images,":[180,205],"can":[182,207],"appearance":[186],"results.":[189],"Second,":[190],"restrict":[208],"solution":[210],"space":[211],"dehazing.":[213],"show":[215],"effectiveness":[217],"model,":[221],"we":[222],"conduct":[223],"extensive":[224],"experiments":[225],"Compared":[232],"state-of-the-art":[234,240],"methods,":[235],"achieves":[239],"performance.":[242]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4387587622","counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":3}],"updated_date":"2025-03-27T06:32:15.370857","created_date":"2023-10-13"}