{"id":"https://openalex.org/W4386598327","doi":"https://doi.org/10.1109/icip49359.2023.10222719","title":"Unsupervised Domain Adaptive Learning for Image Desnowing with Real-World Data","display_name":"Unsupervised Domain Adaptive Learning for Image Desnowing with Real-World Data","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598327","doi":"https://doi.org/10.1109/icip49359.2023.10222719"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222719","doi":"https://doi.org/10.1109/icip49359.2023.10222719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222719","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5102554392","display_name":"Jingxu Ren","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxu Ren","raw_affiliation_strings":["Xinjiang University,Key Laboratory of Signal Detection and Processing,Urumqi,China,830046"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,Key Laboratory of Signal Detection and Processing,Urumqi,China,830046","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054814122","display_name":"Gang Zhou","orcid":"https://orcid.org/0000-0002-4425-9837","observed_orcids":["https://orcid.org/0000-0002-4425-9837","https://orcid.org/0009-0002-1180-6942"]},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Zhou","raw_affiliation_strings":["Xinjiang University,Key Laboratory of Signal Detection and Processing,Urumqi,China,830046"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,Key Laboratory of Signal Detection and Processing,Urumqi,China,830046","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101590138","display_name":"Yusen Zhu","orcid":"https://orcid.org/0009-0005-8286-6282","observed_orcids":["https://orcid.org/0009-0005-8286-6282"]},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusen Zhu","raw_affiliation_strings":["Xinjiang University,Key Laboratory of Signal Detection and Processing,Urumqi,China,830046"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,Key Laboratory of Signal Detection and Processing,Urumqi,China,830046","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088844978","display_name":"Yangxin Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangxin Liu","raw_affiliation_strings":["Xinjiang University,Key Laboratory of Signal Detection and Processing,Urumqi,China,830046"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,Key Laboratory of Signal Detection and Processing,Urumqi,China,830046","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359218","display_name":"Juan Chen","orcid":"https://orcid.org/0000-0002-9116-6449","observed_orcids":["https://orcid.org/0000-0002-9116-6449"]},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Chen","raw_affiliation_strings":["Xinjiang University,Key Laboratory of Signal Detection and Processing,Urumqi,China,830046"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,Key Laboratory of Signal Detection and Processing,Urumqi,China,830046","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100684819","display_name":"Zhenhong Jia","orcid":"https://orcid.org/0000-0002-5182-4929","observed_orcids":["https://orcid.org/0000-0002-5182-4929"]},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhong Jia","raw_affiliation_strings":["Xinjiang University,Key Laboratory of Signal Detection and Processing,Urumqi,China,830046"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,Key Laboratory of Signal Detection and Processing,Urumqi,China,830046","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":null,"apc_paid":null,"fwci":0.3214,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64728071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3050","last_page":"3054"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9907000064849854,"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":0.9907000064849854,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.00559999980032444,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.0008999999845400453,"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/unsupervised-domain-adaptation","display_name":"unsupervised domain adaptation","score":0.9359999895095825},{"id":"https://openalex.org/keywords/snow-removal","display_name":"snow removal","score":0.925000011920929},{"id":"https://openalex.org/keywords/adversarial-training","display_name":"adversarial training","score":0.7020000219345093},{"id":"https://openalex.org/keywords/domain-classifier","display_name":"domain classifier","score":0.9580000042915344},{"id":"https://openalex.org/keywords/image-dehazing","display_name":"image dehazing","score":0.4519999921321869}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7809301614761353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6884663701057434},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.6134629249572754},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4947585463523865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.460929811000824},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45224249362945557},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4401886463165283},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4316927492618561},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.4312473237514496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3949297368526459},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08941754698753357},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08525171875953674},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222719","doi":"https://doi.org/10.1109/icip49359.2023.10222719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222719","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W86140595","https://openalex.org/W1483870316","https://openalex.org/W1986410784","https://openalex.org/W2132254548","https://openalex.org/W2132819211","https://openalex.org/W2146837664","https://openalex.org/W2617199345","https://openalex.org/W2748263833","https://openalex.org/W2799539975","https://openalex.org/W2928165649","https://openalex.org/W3026432413","https://openalex.org/W3034242291","https://openalex.org/W3035357254","https://openalex.org/W3035713416","https://openalex.org/W3103549414","https://openalex.org/W3194523157","https://openalex.org/W3201952986","https://openalex.org/W3215632849"],"related_works":["https://openalex.org/W4413147322","https://openalex.org/W4392903881","https://openalex.org/W4416798071","https://openalex.org/W4406119497","https://openalex.org/W4327521824","https://openalex.org/W4389309463","https://openalex.org/W4379115134","https://openalex.org/W4313413129","https://openalex.org/W4386170296","https://openalex.org/W3201952986"],"abstract_inverted_index":{"Snow":[0],"images":[1,57],"usually":[2],"contain":[3],"snow":[4,6,32,47,78],"grains,":[5],"streaks,":[7],"and":[8,74],"mist,":[9],"which":[10],"greatly":[11],"affect":[12],"the":[13,53,69,114],"visibility":[14],"of":[15,71],"images.":[16,33],"Currently,":[17],"supervised":[18],"learning":[19,59],"with":[20],"synthetic":[21],"data":[22],"often":[23],"faces":[24],"limitations":[25],"when":[26],"it":[27],"comes":[28],"to":[29],"handling":[30],"real-world":[31,56,77,121],"To":[34],"address":[35],"this":[36,39],"crucial":[37],"issue,":[38],"work":[40],"proposes":[41],"an":[42],"unsupervised":[43],"domain":[44,61],"adaptation":[45],"image":[46],"removal":[48],"framework.":[49],"The":[50],"framework":[51],"improves":[52],"performance":[54,119],"on":[55,89,109],"by":[58],"a":[60,82],"classifier":[62],"in":[63,76,120],"adversarial":[64],"training":[65],"manner.":[66],"Additionally,":[67],"considering":[68],"diversity":[70],"snowflake":[72],"shapes":[73],"sizes":[75],"images,":[79],"we":[80],"design":[81],"multiple-kernel":[83],"dilated":[84],"convolution":[85],"module.":[86],"Extensive":[87],"experiments":[88,108],"three":[90],"representative":[91],"datasets":[92,111],"have":[93],"validated":[94],"that":[95,113],"our":[96],"model":[97],"can":[98],"achieve":[99],"better":[100],"results":[101],"than":[102],"existing":[103],"desnowing":[104],"methods.":[105],"More":[106],"importantly,":[107],"real":[110],"show":[112],"proposed":[115],"method":[116],"obtains":[117],"state-of-the-art":[118],"desnowing.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-09-12T00:00:00"}