{"id":"https://openalex.org/W4408946532","doi":"https://doi.org/10.1142/s021800142552007x","title":"Source-Free Domain Adaptation via Enhanced Self-Supervised Learning","display_name":"Source-Free Domain Adaptation via Enhanced Self-Supervised Learning","publication_year":2025,"publication_date":"2025-03-28","ids":{"openalex":"https://openalex.org/W4408946532","doi":"https://doi.org/10.1142/s021800142552007x"},"language":"en","primary_location":{"id":"doi:10.1142/s021800142552007x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021800142552007x","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5069937837","display_name":"Jih Pin Yeh","orcid":null},"institutions":[{"id":"https://openalex.org/I189290911","display_name":"National Chung Shan Institute of Science and Technology","ror":"https://ror.org/034ezwg26","country_code":"TW","type":"government","lineage":["https://openalex.org/I189290911"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jih Pin Yeh","raw_affiliation_strings":["National Chung-Shan Institute of Science and Technology, Tao-Yuan County, Taiwan"],"raw_orcid":"https://orcid.org/0009-0005-5577-3240","affiliations":[{"raw_affiliation_string":"National Chung-Shan Institute of Science and Technology, Tao-Yuan County, Taiwan","institution_ids":["https://openalex.org/I189290911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020565286","display_name":"Yihjia Tsai","orcid":"https://orcid.org/0009-0004-7034-5095"},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yihjia Tsai","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0009-0004-7034-5095","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan","institution_ids":["https://openalex.org/I107470533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103166549","display_name":"Hsiau-Wen Lin","orcid":"https://orcid.org/0009-0001-7874-1605"},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]},{"id":"https://openalex.org/I78768145","display_name":"Chihlee Institute of Technology","ror":"https://ror.org/02pcbw160","country_code":"TW","type":"education","lineage":["https://openalex.org/I78768145"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiau-Wen Lin","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan","Department of Information Management, Chihlee University of Technology, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0009-0001-7874-1605","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan","institution_ids":["https://openalex.org/I107470533"]},{"raw_affiliation_string":"Department of Information Management, Chihlee University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I78768145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066474338","display_name":"Hwei-Jen Lin","orcid":"https://orcid.org/0000-0002-1539-233X"},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]},{"id":"https://openalex.org/I78768145","display_name":"Chihlee Institute of Technology","ror":"https://ror.org/02pcbw160","country_code":"TW","type":"education","lineage":["https://openalex.org/I78768145"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hwei Jen Lin","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan","Department of Information Management, Chihlee University of Technology, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-1539-233X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan","institution_ids":["https://openalex.org/I107470533"]},{"raw_affiliation_string":"Department of Information Management, Chihlee University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I78768145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030419941","display_name":"Yoshimasa Tokuyama","orcid":"https://orcid.org/0009-0006-7123-5183"},"institutions":[{"id":"https://openalex.org/I31618427","display_name":"Tokyo Polytechnic University","ror":"https://ror.org/035kpke84","country_code":"JP","type":"education","lineage":["https://openalex.org/I31618427"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshimasa Tokuyama","raw_affiliation_strings":["Department of Media and Image Technology, Faculty of Engineering, Tokyo Polytechnic University, Japan"],"raw_orcid":"https://orcid.org/0009-0006-7123-5183","affiliations":[{"raw_affiliation_string":"Department of Media and Image Technology, Faculty of Engineering, Tokyo Polytechnic University, Japan","institution_ids":["https://openalex.org/I31618427"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02405619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"07","first_page":null,"last_page":null},"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":0.9955999851226807,"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":0.9955999851226807,"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/T10860","display_name":"Speech and Audio Processing","score":0.9280999898910522,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/domain-adaptation","display_name":"Domain adaptation","score":0.6560479998588562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6408709287643433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6373701095581055},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.48731812834739685},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4847576320171356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48355600237846375},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4130086600780487},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.338887095451355},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22475939989089966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22274869680404663},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12267592549324036},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.10073673725128174}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6560479998588562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6408709287643433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6373701095581055},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.48731812834739685},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4847576320171356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48355600237846375},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4130086600780487},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.338887095451355},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22475939989089966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22274869680404663},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12267592549324036},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.10073673725128174},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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":2,"locations":[{"id":"doi:10.1142/s021800142552007x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021800142552007x","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:tkuir.lib.tku.edu.tw:987654321/127369","is_oa":false,"landing_page_url":"https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/127369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4823890003","display_name":null,"funder_award_id":"NSTC 113-2221-E-032-020","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W2042873848","https://openalex.org/W2100659887","https://openalex.org/W2112796928","https://openalex.org/W2128053425","https://openalex.org/W2162897826","https://openalex.org/W2194775991","https://openalex.org/W2593768305","https://openalex.org/W2883725317","https://openalex.org/W2948210185","https://openalex.org/W2949892238","https://openalex.org/W2964109570","https://openalex.org/W2980096013","https://openalex.org/W2981705647","https://openalex.org/W3088093295","https://openalex.org/W3108516814","https://openalex.org/W3203098462"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,28,72,108,140],"challenge":[4],"of":[5,143],"Source-free":[6],"Domain":[7,35],"Adaptation":[8,36],"(SFDA),":[9],"where":[10],"knowledge":[11],"is":[12],"transferred":[13],"from":[14],"a":[15,65,77],"labeled":[16],"source":[17,29,42,67],"domain":[18,23],"to":[19,27,51,71],"an":[20],"unlabeled":[21],"target":[22,73,109],"without":[24],"requiring":[25],"access":[26],"data":[30,43],"during":[31,45],"adaptation.":[32],"Traditional":[33],"Unsupervised":[34],"(UDA)":[37],"methods":[38],"typically":[39],"depend":[40],"on":[41,114],"availability":[44],"training,":[46],"which":[47],"raises":[48],"concerns":[49],"related":[50],"privacy,":[52],"security,":[53],"and":[54,94,104,119,133,150],"scalability.":[55],"Our":[56],"proposed":[57],"approach":[58],"eliminates":[59],"this":[60,136],"dependency":[61],"by":[62],"leveraging":[63],"only":[64],"pre-trained":[66],"model":[68],"for":[69,85],"adaptation":[70],"domain.":[74,110],"We":[75],"introduce":[76],"comprehensive":[78],"framework":[79],"that":[80,123],"incorporates":[81],"iterative":[82],"centroid":[83],"refinement":[84],"pseudo-labeling,":[86],"enhanced":[87],"self-supervised":[88],"learning":[89],"strategies,":[90],"advanced":[91],"regularization":[92],"techniques,":[93],"dynamic":[95],"loss":[96],"weighting":[97],"mechanisms.":[98],"These":[99],"innovations":[100],"improve":[101],"feature":[102],"alignment":[103],"classification":[105],"performance":[106],"in":[107,130],"Extensive":[111],"experiments":[112],"conducted":[113],"diverse":[115],"datasets,":[116],"including":[117],"digital":[118],"object":[120],"benchmarks,":[121],"demonstrate":[122],"our":[124],"method":[125],"consistently":[126],"outperforms":[127],"state-of-the-art":[128],"techniques":[129],"both":[131],"accuracy":[132],"robustness.":[134],"Additionally,":[135],"study":[137],"delves":[138],"into":[139,147],"theoretical":[141],"foundations":[142],"SFDA,":[144],"providing":[145],"insights":[146],"its":[148,152],"efficacy":[149],"exploring":[151],"practical":[153],"applications":[154],"across":[155],"various":[156],"domains.":[157]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
