{"id":"https://openalex.org/W4411472310","doi":"https://doi.org/10.1109/tnnls.2025.3577791","title":"Object Detection With Physical Prior and AWConv in Foggy Weather for Traffic Scenes","display_name":"Object Detection With Physical Prior and AWConv in Foggy Weather for Traffic Scenes","publication_year":2025,"publication_date":"2025-06-20","ids":{"openalex":"https://openalex.org/W4411472310","doi":"https://doi.org/10.1109/tnnls.2025.3577791","pmid":"https://pubmed.ncbi.nlm.nih.gov/40540383"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3577791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3577791","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101993108","display_name":"Xue-juan Han","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xue-Juan Han","raw_affiliation_strings":["School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001474262","display_name":"Zhong Qu","orcid":"https://orcid.org/0000-0001-7013-4854"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Qu","raw_affiliation_strings":["School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101718947","display_name":"Shiyan Wang","orcid":"https://orcid.org/0000-0003-2956-9260"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi-Yan Wang","raw_affiliation_strings":["School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078482277","display_name":"Shufang Xia","orcid":"https://orcid.org/0000-0002-1372-3983"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu-Fang Xia","raw_affiliation_strings":["School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101993108"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":1.319,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81984815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"36","issue":"10","first_page":"18722","last_page":"18736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9855999946594238,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9672999978065491,"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/computer-science","display_name":"Computer science","score":0.8403917551040649},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.7220156788825989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6009131073951721},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5954461097717285},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.5636090040206909},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5222885608673096},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5011923313140869},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.27744126319885254},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.1112774908542633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8403917551040649},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.7220156788825989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6009131073951721},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5954461097717285},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.5636090040206909},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5222885608673096},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5011923313140869},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27744126319885254},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.1112774908542633},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3577791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3577791","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40540383","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40540383","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G2199629451","display_name":null,"funder_award_id":"2023NSCQ-MSX1781","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G4401132736","display_name":null,"funder_award_id":"BYJS202307","funder_id":"https://openalex.org/F4320322687","funder_display_name":"Chongqing University of Posts and Telecommunications"},{"id":"https://openalex.org/G5836115230","display_name":null,"funder_award_id":"62471076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6542413368","display_name":null,"funder_award_id":"KJZD-M202300604","funder_id":"https://openalex.org/F4320324805","funder_display_name":"Chongqing Municipal Education Commission"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322687","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324805","display_name":"Chongqing Municipal Education Commission","ror":"https://ror.org/031nm5713"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1990592195","https://openalex.org/W2139616920","https://openalex.org/W2166538457","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2531409750","https://openalex.org/W2565639579","https://openalex.org/W2748021867","https://openalex.org/W2786808285","https://openalex.org/W2962721361","https://openalex.org/W2963150697","https://openalex.org/W2963840672","https://openalex.org/W2963857746","https://openalex.org/W2963928582","https://openalex.org/W2964093967","https://openalex.org/W2964115968","https://openalex.org/W2964241181","https://openalex.org/W2966926453","https://openalex.org/W3009058813","https://openalex.org/W3012430140","https://openalex.org/W3034421924","https://openalex.org/W3094277917","https://openalex.org/W3096609285","https://openalex.org/W3107867277","https://openalex.org/W3109202794","https://openalex.org/W3172752666","https://openalex.org/W3217147624","https://openalex.org/W4226042837","https://openalex.org/W4282936033","https://openalex.org/W4312961318","https://openalex.org/W4377715550","https://openalex.org/W4381233103","https://openalex.org/W4386075796","https://openalex.org/W4386076325","https://openalex.org/W4386597119","https://openalex.org/W4387011219","https://openalex.org/W4389179984","https://openalex.org/W4391130239","https://openalex.org/W4391306377","https://openalex.org/W4394724219","https://openalex.org/W4394994855","https://openalex.org/W4395056517","https://openalex.org/W4400859202","https://openalex.org/W4402754006","https://openalex.org/W4402816933","https://openalex.org/W4403770406","https://openalex.org/W4404093568","https://openalex.org/W4408354846","https://openalex.org/W4409257457"],"related_works":["https://openalex.org/W4315697128","https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2355516524","https://openalex.org/W2361471170","https://openalex.org/W2025616642","https://openalex.org/W3102845713","https://openalex.org/W2971502891","https://openalex.org/W1954972543"],"abstract_inverted_index":{"Despite":[0],"significant":[1],"advances":[2],"in":[3,22,39,80,90,118,153],"object":[4,10,54],"detection":[5,11,55,123,135],"methods":[6],"for":[7],"traffic":[8,37,151],"scenes,":[9],"under":[12],"adverse":[13,167],"weather":[14,43],"conditions":[15],"is":[16,110],"still":[17],"a":[18],"challenging":[19],"task.":[20],"Especially":[21],"foggy":[23,42,154],"weather,":[24,155],"the":[25,33,81,87,91,95,98,101,108,121,129,148,180,191,213,228],"presence":[26],"of":[27,36,97,107,150],"fog":[28,176],"reduces":[29,217],"visibility,":[30],"thus":[31,93],"weakening":[32],"feature":[34,102],"information":[35],"objects":[38,152],"images,":[40],"and":[41,60,65,74,104,134,137,172,185,221],"occurs":[44],"frequently.":[45],"To":[46],"cope":[47],"with":[48,57,202],"this":[49],"problem,":[50],"we":[51,127,156],"propose":[52],"an":[53,113],"method":[56],"physical":[58],"prior":[59],"adaptive":[61,114],"weight":[62],"convolution":[63],"(AWConv),":[64],"evaluate":[66],"it":[67],"on":[68,159,212,227],"datasets":[69],"such":[70],"as":[71],"Foggy":[72,160,214],"Cityscapes":[73,161,169,215],"RTTS.":[75],"We":[76],"apply":[77],"gamma":[78],"correction":[79],"improved":[82],"defogging":[83],"algorithm":[84],"to":[85,147,178],"enhance":[86],"key":[88],"regions":[89],"image,":[92],"improving":[94],"separability":[96],"features.":[99],"Meanwhile,":[100],"extraction":[103],"representation":[105],"ability":[106],"model":[109,122,193],"enhanced":[111],"by":[112,200,219,225],"weighting":[115],"mechanism,":[116],"which":[117],"turn":[119],"improves":[120,195,222],"performance.":[124],"In":[125],"addition,":[126],"explore":[128],"relationship":[130],"between":[131],"image":[132],"quality":[133],"accuracy":[136],"observe":[138],"that":[139,190],"they":[140],"are":[141],"not":[142],"linearly":[143],"positively":[144],"correlated.":[145],"Due":[146],"complexity":[149],"conduct":[157],"experiments":[158],"(synthetic":[162],"fog),":[163],"RTTS":[164,229],"(real-world":[165],"multiple":[166],"weather),":[168,171],"(normal":[170],"extended":[173],"dataset":[174],"(different":[175],"concentrations)":[177],"validate":[179],"model's":[181],"effectiveness,":[182],"generalization":[183],"ability,":[184],"robustness.":[186],"Experimental":[187],"results":[188],"show":[189],"small":[192],"alone":[194],"mean":[196],"average":[197],"precision":[198],"(mAP)":[199],"1.4%":[201],"only":[203],"24.6":[204],"giga":[205],"floating":[206],"point":[207],"operations":[208],"per":[209],"second":[210],"(GFLOPs)":[211],"dataset,":[216],"GFLOPs":[218],"3.8":[220],"recall":[223],"(R)":[224],"1.1%":[226],"dataset.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}