{"id":"https://openalex.org/W4402980500","doi":"https://doi.org/10.1109/icme57554.2024.10688076","title":"Multi-batch Nuclear-norm Adversarial Network for Unsupervised Domain Adaptation","display_name":"Multi-batch Nuclear-norm Adversarial Network for Unsupervised Domain Adaptation","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980500","doi":"https://doi.org/10.1109/icme57554.2024.10688076"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688076","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"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/A5100462645","display_name":"Pei Wang","orcid":"https://orcid.org/0000-0002-6259-6597"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pei Wang","raw_affiliation_strings":["Yunnan University,School of Information Science and Engineering,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Yunnan University,School of Information Science and Engineering,Kunming,China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675701","display_name":"Yun Yang","orcid":"https://orcid.org/0000-0002-9893-3436"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Yang","raw_affiliation_strings":["Yunnan University,National Pilot School of Software,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Yunnan University,National Pilot School of Software,Kunming,China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433332","display_name":"Zhenyu Yu","orcid":"https://orcid.org/0000-0002-9985-0165"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Yu","raw_affiliation_strings":["Guangzhou University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Guangzhou University,Guangzhou,China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100462645"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.3862,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67639213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9372000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9372000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/adversarial-system","display_name":"Adversarial system","score":0.8017128705978394},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6921213865280151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6090893745422363},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5575376152992249},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4802730083465576},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4233984351158142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40135690569877625},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.321916401386261},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2125413417816162},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09968283772468567},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07184487581253052}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8017128705978394},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6921213865280151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6090893745422363},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5575376152992249},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4802730083465576},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4233984351158142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40135690569877625},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.321916401386261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2125413417816162},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09968283772468567},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07184487581253052},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688076","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Adversarial":[0],"learning":[1],"has":[2],"achieved":[3],"great":[4],"success":[5],"for":[6,24],"unsupervised":[7],"domain":[8,43],"adaptation":[9],"(UDA).":[10],"Existing":[11],"adversarial":[12,54],"UDA":[13],"methods":[14],"leverage":[15],"the":[16,28,39,82,85,95,100,115],"predicted":[17],"discriminative":[18],"information":[19],"with":[20],"Nuclear-norm":[21,53,87],"Wasserstein":[22],"discrepancy":[23,88],"feature":[25],"alignment.":[26],"However,":[27],"limited":[29],"memory":[30],"space":[31],"makes":[32],"it":[33],"very":[34],"difficult":[35],"to":[36,65,70],"accurately":[37],"calculate":[38],"Nuclear-norm,":[40],"which":[41,68,91],"hinders":[42],"adaptation.":[44],"To":[45],"address":[46],"this":[47],"challenge,":[48],"we":[49,60],"propose":[50],"a":[51,62,72],"multi-batch":[52,86],"network,":[55],"termed":[56],"as":[57],"MBAN.":[58],"Specifically,":[59],"build":[61],"dynamic":[63],"queue":[64],"cache":[66],"features,":[67],"encourages":[69],"generate":[71],"large":[73],"and":[74,97],"consistent":[75],"output":[76],"matrix,":[77],"enabling":[78],"accurate":[79],"calculation":[80],"of":[81,99,117],"Nuclear-norm.":[83],"Then,":[84],"is":[89,119,123],"proposed,":[90],"can":[92],"effectively":[93],"improve":[94],"transferability":[96],"discriminability":[98],"learned":[101],"features.":[102],"Experimental":[103],"results":[104],"show":[105],"that":[106],"MBAN":[107],"could":[108],"achieve":[109],"significant":[110],"performance":[111],"improvement,":[112],"especially":[113],"when":[114],"number":[116],"categories":[118],"quite":[120],"large.":[121],"Code":[122],"available":[124],"at":[125],"https://github.com/peiwang0518/Multi-BAN.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
