{"id":"https://openalex.org/W4364322117","doi":"https://doi.org/10.1109/tcsvt.2023.3265853","title":"Adaptive Mutual Learning for Unsupervised Domain Adaptation","display_name":"Adaptive Mutual Learning for Unsupervised Domain Adaptation","publication_year":2023,"publication_date":"2023-04-10","ids":{"openalex":"https://openalex.org/W4364322117","doi":"https://doi.org/10.1109/tcsvt.2023.3265853"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3265853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3265853","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-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/A5005026076","display_name":"Lihua Zhou","orcid":"https://orcid.org/0000-0003-0370-3337"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-0370-3337","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010787801","display_name":"Siying Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siying Xiao","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682790","display_name":"Mao Ye","orcid":"https://orcid.org/0000-0003-4760-8702"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Ye","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4760-8702","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028643592","display_name":"Xiatian Zhu","orcid":"https://orcid.org/0000-0002-9284-2955"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiatian Zhu","raw_affiliation_strings":["Surrey Institute for People-Centred Artificial Intelligence, CVSSP, University of Surrey, Guildford, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Surrey Institute for People-Centred Artificial Intelligence, CVSSP, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101939278","display_name":"Shuaifeng Li","orcid":"https://orcid.org/0000-0003-2371-2513"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaifeng Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8483,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.96092477,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"33","issue":"11","first_page":"6622","last_page":"6634"},"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":0.9991999864578247,"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":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9710999727249146,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9510999917984009,"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/computer-science","display_name":"Computer science","score":0.7998533248901367},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6635714173316956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6619369387626648},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6280530095100403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6254498958587646},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5599798560142517},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5529831647872925},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5510724186897278},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5371691584587097},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.48293253779411316},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.47399723529815674},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.46931028366088867},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.4242032766342163},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.40720242261886597},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35328438878059387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09790641069412231}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7998533248901367},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6635714173316956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6619369387626648},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6280530095100403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6254498958587646},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5599798560142517},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5529831647872925},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5510724186897278},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5371691584587097},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.48293253779411316},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.47399723529815674},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.46931028366088867},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.4242032766342163},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.40720242261886597},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35328438878059387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09790641069412231},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2023.3265853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3265853","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:alma.44SUR_INST:11181480810002346","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2477231440","display_name":null,"funder_award_id":"62276048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6175958453","display_name":null,"funder_award_id":"2020YFG0476","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W1731081199","https://openalex.org/W1920962657","https://openalex.org/W1995875735","https://openalex.org/W2033178790","https://openalex.org/W2097482982","https://openalex.org/W2103868202","https://openalex.org/W2117539524","https://openalex.org/W2159291411","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2293363371","https://openalex.org/W2478454054","https://openalex.org/W2579318141","https://openalex.org/W2593768305","https://openalex.org/W2627183927","https://openalex.org/W2766897166","https://openalex.org/W2767179670","https://openalex.org/W2795155917","https://openalex.org/W2805760974","https://openalex.org/W2953070460","https://openalex.org/W2962687275","https://openalex.org/W2962793481","https://openalex.org/W2962835731","https://openalex.org/W2963263347","https://openalex.org/W2963449430","https://openalex.org/W2963532621","https://openalex.org/W2963709863","https://openalex.org/W2963784072","https://openalex.org/W2964278684","https://openalex.org/W2979548969","https://openalex.org/W2980096013","https://openalex.org/W2981720610","https://openalex.org/W2982204955","https://openalex.org/W2990231018","https://openalex.org/W2991405316","https://openalex.org/W2997189783","https://openalex.org/W3029639057","https://openalex.org/W3034247804","https://openalex.org/W3035456997","https://openalex.org/W3035519852","https://openalex.org/W3035544567","https://openalex.org/W3035576098","https://openalex.org/W3095253761","https://openalex.org/W3109093849","https://openalex.org/W3155499466","https://openalex.org/W3159770254","https://openalex.org/W3160711975","https://openalex.org/W3168084736","https://openalex.org/W3175370657","https://openalex.org/W3175481246","https://openalex.org/W3176602994","https://openalex.org/W3176663948","https://openalex.org/W3181127262","https://openalex.org/W3181434681","https://openalex.org/W3192693288","https://openalex.org/W3198175382","https://openalex.org/W3203816763","https://openalex.org/W3206154535","https://openalex.org/W3212230523","https://openalex.org/W4213084105","https://openalex.org/W4214623175","https://openalex.org/W4226075171","https://openalex.org/W4230769173","https://openalex.org/W4285820676","https://openalex.org/W4290875342","https://openalex.org/W4292308099","https://openalex.org/W4295908664","https://openalex.org/W4312815761","https://openalex.org/W6637542466","https://openalex.org/W6637618735","https://openalex.org/W6681588610","https://openalex.org/W6683633756","https://openalex.org/W6713955831","https://openalex.org/W6720691552","https://openalex.org/W6726497184","https://openalex.org/W6733814495","https://openalex.org/W6745986955","https://openalex.org/W6746171285","https://openalex.org/W6750109254","https://openalex.org/W6777657904","https://openalex.org/W6803740015","https://openalex.org/W7018611383"],"related_works":["https://openalex.org/W2160366419","https://openalex.org/W2590565095","https://openalex.org/W2149471286","https://openalex.org/W2112235833","https://openalex.org/W2112751893","https://openalex.org/W2011664814","https://openalex.org/W2096837800","https://openalex.org/W1950019275","https://openalex.org/W2910555889","https://openalex.org/W2055870375"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,10,44],"adaptation":[2],"aims":[3],"to":[4,11,46,67,109,138,164],"transfer":[5,54],"knowledge":[6,45,120,152],"from":[7,141,160],"labeled":[8],"source":[9,43],"unlabeled":[12],"target":[13,94],"domain.":[14],"The":[15],"semi-supervised":[16],"method":[17],"based":[18],"on":[19],"mean-teacher":[20],"framework":[21],"is":[22,34,64,86,114,131],"one":[23],"of":[24,60,118,174],"the":[25,37,47,58,61,72,96,110,116,123,126,142,171,182],"main":[26],"stream":[27],"approaches.":[28],"By":[29],"enforcing":[30],"consistency":[31],"constraints,":[32],"it":[33],"hopeful":[35],"that":[36,188],"teacher":[38,62],"network":[39,63,97,127],"will":[40,101],"distill":[41],"useful":[42],"student":[48,73],"network.":[49,74],"However,":[50],"in":[51,88,115],"practice":[52],"negative":[53],"often":[55],"emerges":[56],"because":[57],"performance":[59],"not":[65],"guaranteed":[66],"be":[68,102,147,179],"always":[69],"better":[70,111,129],"than":[71],"To":[75],"address":[76],"this":[77,89,155],"limitation,":[78],"a":[79,93],"novel":[80],"Adaptive":[81],"Mutual":[82],"Learning":[83],"(AML)":[84],"strategy":[85],"proposed":[87],"paper.":[90],"Specifically,":[91],"given":[92],"sample,":[95],"with":[98,128],"worse":[99,143],"prediction":[100,107,130,137],"optimized":[103],"by":[104,134],"pushing":[105],"its":[106,136],"close":[108],"prediction.":[112,144,184],"This":[113,145],"spirit":[117],"traditional":[119],"distillation.":[121,153],"On":[122],"other":[124,162],"hand,":[125],"further":[132],"refined":[133],"requiring":[135],"stay":[139],"away":[140],"can":[146,178],"regarded":[148],"conceptually":[149],"as":[150,181],"reverse":[151],"In":[154],"way,":[156],"two":[157,176],"networks":[158,177],"learn":[159],"each":[161],"according":[163],"their":[165],"respective":[166],"performance.":[167],"At":[168],"inference":[169],"phase,":[170],"averaged":[172],"output":[173],"these":[175],"taken":[180],"final":[183],"Experimental":[185],"results":[186],"demonstrate":[187],"our":[189],"AML":[190],"achieves":[191],"competitive":[192],"results.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}