{"id":"https://openalex.org/W4312617661","doi":"https://doi.org/10.1109/tcyb.2022.3228301","title":"PSDC: A Prototype-Based Shared-Dummy Classifier Model for Open-Set Domain Adaptation","display_name":"PSDC: A Prototype-Based Shared-Dummy Classifier Model for Open-Set Domain Adaptation","publication_year":2022,"publication_date":"2022-12-26","ids":{"openalex":"https://openalex.org/W4312617661","doi":"https://doi.org/10.1109/tcyb.2022.3228301","pmid":"https://pubmed.ncbi.nlm.nih.gov/37015661"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2022.3228301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3228301","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5021887616","display_name":"Zhengfa Liu","orcid":"https://orcid.org/0000-0003-3544-5694"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengfa Liu","raw_affiliation_strings":["Department of Automotive Engineering, Tongji University, Shanghai, China","Tongji-Westwell Driverless Commercial Joint Laboratory, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Tongji-Westwell Driverless Commercial Joint Laboratory, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323037","display_name":"Guang Chen","orcid":"https://orcid.org/0000-0002-7416-592X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Chen","raw_affiliation_strings":["Tongji-Westwell Driverless Commercial Joint Laboratory, Tongji University, Shanghai, China","Department of Automotive Engineering and the Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji-Westwell Driverless Commercial Joint Laboratory, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Automotive Engineering and the Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450024","display_name":"Zhijun Li","orcid":"https://orcid.org/0000-0002-3909-488X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Li","raw_affiliation_strings":["Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China","Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China","institution_ids":[]},{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025987638","display_name":"Yu Kang","orcid":"https://orcid.org/0000-0002-8706-3252"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Kang","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070358967","display_name":"Sanqing Qu","orcid":"https://orcid.org/0009-0000-0377-7120"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanqing Qu","raw_affiliation_strings":["Department of Automotive Engineering, Tongji University, Shanghai, China","Tongji-Westwell Driverless Commercial Joint Laboratory, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Tongji-Westwell Driverless Commercial Joint Laboratory, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066099338","display_name":"Changjun Jiang","orcid":"https://orcid.org/0000-0003-0637-9317"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjun Jiang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021887616"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":4.1369,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94695255,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"53","issue":"11","first_page":"7353","last_page":"7366"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T12676","display_name":"Machine Learning and ELM","score":0.9642000198364258,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.941100001335144,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.8758975267410278},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8581360578536987},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.7633602619171143},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6862382292747498},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6196113228797913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5762574076652527},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5361189246177673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49193570017814636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4301719069480896},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.42589014768600464},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34498414397239685}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.8758975267410278},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8581360578536987},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7633602619171143},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6862382292747498},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6196113228797913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5762574076652527},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5361189246177673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49193570017814636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4301719069480896},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.42589014768600464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34498414397239685},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2022.3228301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3228301","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:37015661","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37015661","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G6371315947","display_name":null,"funder_award_id":"61906138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320319772","display_name":"Shanghai Center for Brain Science and Brain-Inspired Technology","ror":null},{"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":79,"referenced_works":["https://openalex.org/W1032927584","https://openalex.org/W1686810756","https://openalex.org/W1722318740","https://openalex.org/W1849277567","https://openalex.org/W2104094955","https://openalex.org/W2119880843","https://openalex.org/W2125865219","https://openalex.org/W2131953535","https://openalex.org/W2149466042","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2627183927","https://openalex.org/W2766897166","https://openalex.org/W2779610669","https://openalex.org/W2786559811","https://openalex.org/W2798593490","https://openalex.org/W2801477643","https://openalex.org/W2889945482","https://openalex.org/W2895281799","https://openalex.org/W2895752198","https://openalex.org/W2948069880","https://openalex.org/W2948429981","https://openalex.org/W2962687275","https://openalex.org/W2963149653","https://openalex.org/W2963875483","https://openalex.org/W2986381065","https://openalex.org/W2998115938","https://openalex.org/W2998846139","https://openalex.org/W3009072794","https://openalex.org/W3017247368","https://openalex.org/W3023973923","https://openalex.org/W3034454087","https://openalex.org/W3035224069","https://openalex.org/W3035235949","https://openalex.org/W3039515597","https://openalex.org/W3048265828","https://openalex.org/W3083641663","https://openalex.org/W3094232502","https://openalex.org/W3096831136","https://openalex.org/W3097526063","https://openalex.org/W3099972666","https://openalex.org/W3100804201","https://openalex.org/W3119686825","https://openalex.org/W3128863327","https://openalex.org/W3131415659","https://openalex.org/W3158065459","https://openalex.org/W3159982738","https://openalex.org/W3165550458","https://openalex.org/W3173352923","https://openalex.org/W3175204457","https://openalex.org/W3175294391","https://openalex.org/W3177034761","https://openalex.org/W3177151237","https://openalex.org/W3190879149","https://openalex.org/W3198731329","https://openalex.org/W3200444035","https://openalex.org/W3208886632","https://openalex.org/W3210152560","https://openalex.org/W3213100082","https://openalex.org/W4214756262","https://openalex.org/W4221157614","https://openalex.org/W4229443634","https://openalex.org/W4283012013","https://openalex.org/W4283817880","https://openalex.org/W4312440658","https://openalex.org/W6637373629","https://openalex.org/W6639480849","https://openalex.org/W6683633756","https://openalex.org/W6746171285","https://openalex.org/W6748312029","https://openalex.org/W6767099221","https://openalex.org/W6779516992","https://openalex.org/W6780061525","https://openalex.org/W6795725608","https://openalex.org/W6799617189","https://openalex.org/W6802713863","https://openalex.org/W6803425201","https://openalex.org/W6810363422","https://openalex.org/W6838942856"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W4312246223","https://openalex.org/W3095487414","https://openalex.org/W2901026139"],"abstract_inverted_index":{"Open-set":[0],"domain":[1,14,126],"adaptation":[2,173],"(OSDA)":[3],"aims":[4],"to":[5,47,64,87,107,118,163,175,188],"achieve":[6,211],"knowledge":[7],"transfer":[8],"in":[9,30,123,133,140],"the":[10,31,36,48,53,112,124,134,153,165,190,203,212],"presence":[11],"of":[12,79],"both":[13],"shift":[15,110],"and":[16,51,82,114,168,198,210],"label":[17],"shift,":[18],"which":[19],"assumes":[20],"that":[21,202],"there":[22],"exist":[23],"additional":[24,44,95],"unknown":[25,45,54,67,75,90],"target":[26,55,68,115,125],"classes":[27],"not":[28],"presented":[29],"source":[32,49,113,166],"domain.":[33],"To":[34,136],"solve":[35],"OSDA":[37],"problem,":[38],"most":[39,99],"existing":[40,100,208],"methods":[41,101,209],"introduce":[42,103],"an":[43,159],"class":[46,121],"classifier":[50,149,162,167],"represent":[52],"instances":[56,69,76,91],"as":[57,70],"a":[58,71,145,171,184],"whole.":[59],"However,":[60],"it":[61],"is":[62,85],"unreasonable":[63],"treat":[65],"all":[66,89],"group":[72],"since":[73,127],"these":[74,138],"typically":[77],"consist":[78],"distinct":[80],"categories":[81],"distributions.":[83],"It":[84],"challenging":[86],"identify":[88],"with":[92],"only":[93],"one":[94],"class.":[96],"In":[97],"addition,":[98],"directly":[102],"marginal":[104],"distribution":[105,109],"alignment":[106],"alleviate":[108],"between":[111],"domains,":[116],"failing":[117],"learn":[119],"discriminative":[120,131],"boundaries":[122],"they":[128],"ignore":[129],"categorical":[130],"information":[132],"adaptation.":[135,180],"address":[137],"problems,":[139],"this":[141],"article,":[142],"we":[143],"propose":[144],"novel":[146],"prototype-based":[147],"shared-dummy":[148],"(PSDC)":[150],"model":[151],"for":[152,179],"OSDA.":[154],"Specifically,":[155],"our":[156],"PSDC":[157,205],"introduces":[158],"auxiliary":[160],"dummy":[161],"calibrate":[164],"simultaneously":[169],"develops":[170],"weighted":[172],"procedure":[174],"align":[176],"class-wise":[177],"prototypes":[178],"We":[181],"further":[182],"design":[183],"pseudo-unknown":[185],"learning":[186],"algorithm":[187],"reduce":[189],"open-set":[191],"risk.":[192],"Extensive":[193],"experiments":[194],"on":[195],"Office-31,":[196],"Office-Home,":[197],"VisDA":[199],"datasets":[200],"show":[201],"proposed":[204],"can":[206],"outperform":[207],"new":[213],"state-of-the-art":[214],"performance.":[215],"The":[216],"code":[217],"will":[218],"be":[219],"made":[220],"public.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
