{"id":"https://openalex.org/W3214160574","doi":"https://doi.org/10.1145/3448108","title":"Unsupervised Domain Expansion for Visual Categorization","display_name":"Unsupervised Domain Expansion for Visual Categorization","publication_year":2021,"publication_date":"2021-11-12","ids":{"openalex":"https://openalex.org/W3214160574","doi":"https://doi.org/10.1145/3448108","mag":"3214160574"},"language":"en","primary_location":{"id":"doi:10.1145/3448108","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448108","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5100440142","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0002-9534-8100"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["Key Lab of DEKE, Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of DEKE, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082436969","display_name":"Kaibin Tian","orcid":"https://orcid.org/0000-0002-3291-1146"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaibin Tian","raw_affiliation_strings":["Key Lab of DEKE, Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of DEKE, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119929807","display_name":"Dayong Ding","orcid":"https://orcid.org/0000-0001-9331-6677"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dayong Ding","raw_affiliation_strings":["Vistel AI Lab, Visionary Intelligence Ltd. Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vistel AI Lab, Visionary Intelligence Ltd. Beijing, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074018705","display_name":"Gang Yang","orcid":"https://orcid.org/0000-0002-7001-2037"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Yang","raw_affiliation_strings":["School of Information, Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060270456","display_name":"Xirong Li","orcid":"https://orcid.org/0000-0002-0220-8310"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xirong Li","raw_affiliation_strings":["Key Lab of DEKE, Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of DEKE, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.273,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.64108397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"17","issue":"4","first_page":"1","last_page":"24"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.98580002784729,"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/T12676","display_name":"Machine Learning and ELM","score":0.9496999979019165,"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":0.7947274446487427},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.726122260093689},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7034396529197693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6378973722457886},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6244534254074097},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5379500985145569},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5040687322616577},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4729979634284973},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46729448437690735},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3915717899799347},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3232676386833191},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.1363988220691681},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07240670919418335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07008340954780579}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7947274446487427},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.726122260093689},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7034396529197693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6378973722457886},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6244534254074097},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5379500985145569},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5040687322616577},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4729979634284973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46729448437690735},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3915717899799347},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3232676386833191},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.1363988220691681},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07240670919418335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07008340954780579},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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:10.1145/3448108","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448108","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G702084371","display_name":null,"funder_award_id":"62172420, 61672523","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":39,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1690739335","https://openalex.org/W1731081199","https://openalex.org/W1978920452","https://openalex.org/W2120559187","https://openalex.org/W2187089797","https://openalex.org/W2593768305","https://openalex.org/W2620998106","https://openalex.org/W2627183927","https://openalex.org/W2680270903","https://openalex.org/W2788633781","https://openalex.org/W2795867901","https://openalex.org/W2886281300","https://openalex.org/W2895281799","https://openalex.org/W2904706552","https://openalex.org/W2932970397","https://openalex.org/W2952787292","https://openalex.org/W2962687275","https://openalex.org/W2962858109","https://openalex.org/W2963532621","https://openalex.org/W2963993484","https://openalex.org/W2964288524","https://openalex.org/W2965100203","https://openalex.org/W2979644159","https://openalex.org/W2981720610","https://openalex.org/W2981885563","https://openalex.org/W2982166103","https://openalex.org/W2986381065","https://openalex.org/W2987861506","https://openalex.org/W2995607862","https://openalex.org/W2997006708","https://openalex.org/W2997560666","https://openalex.org/W2998115938","https://openalex.org/W3004205097","https://openalex.org/W3008008574","https://openalex.org/W3026575546","https://openalex.org/W3099502074","https://openalex.org/W6637551013","https://openalex.org/W6769906912"],"related_works":["https://openalex.org/W4389474468","https://openalex.org/W2740361506","https://openalex.org/W4300172004","https://openalex.org/W2955455867","https://openalex.org/W4321649381","https://openalex.org/W3180787869","https://openalex.org/W2997645659","https://openalex.org/W3203792196","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Expanding":[0],"visual":[1],"categorization":[2],"into":[3],"a":[4,15,36,43,49,82,97,109,137,156,165],"novel":[5],"domain":[6,29,38,81,102,115,223],"without":[7],"the":[8,62,68,113,122,126,141,169,213,221,225,232],"need":[9],"of":[10,227],"extra":[11],"annotation":[12],"has":[13,24],"been":[14,25],"long-term":[16],"interest":[17],"for":[18,48,112,140,202],"multimedia":[19],"intelligence.":[20],"Previously,":[21],"this":[22,90],"challenge":[23],"approached":[26],"by":[27,95],"unsupervised":[28,101],"adaptation":[30],"(UDA).":[31],"Given":[32],"labeled":[33],"data":[34,41],"from":[35,42,86],"source":[37,72,127,170,233],"and":[39,56,73,171,185,200,205],"unlabeled":[40,118],"target":[44,63,74,114,172,222],"domain,":[45,64],"UDA":[46,59,94,204,215],"seeks":[47],"deep":[50,110],"representation":[51],"that":[52,67,188,212],"is":[53,87],"both":[54,71,203],"discriminative":[55],"domain-invariant.":[57],"While":[58],"focuses":[60],"on":[61,70,125,179,220,231],"we":[65,92],"argue":[66],"performance":[69,124,219,229],"domains":[75,173],"matters,":[76],"as":[77,136],"in":[78],"practice":[79],"which":[80,105],"test":[83],"example":[84],"comes":[85],"unknown.":[88],"In":[89],"article,":[91],"extend":[93],"proposing":[96],"new":[98],"task":[99],"called":[100],"expansion":[103],"(UDE),":[104],"aims":[106],"to":[107,163],"adapt":[108],"model":[111],"with":[116,150],"its":[117],"data,":[119],"meanwhile":[120],"maintaining":[121],"model\u2019s":[123],"domain.":[128,234],"We":[129,154],"propose":[130],"Knowledge":[131],"Distillation":[132],"Domain":[133],"Expansion":[134],"(KDDE)":[135],"general":[138],"method":[139],"UDE":[142,206],"task.":[143],"Its":[144],"domain-adaptation":[145],"module":[146],"can":[147],"be":[148],"instantiated":[149],"any":[151],"existing":[152],"model.":[153],"develop":[155],"knowledge":[157],"distillation-based":[158],"learning":[159],"mechanism,":[160],"enabling":[161],"KDDE":[162,189],"optimize":[164],"single":[166],"objective":[167],"wherein":[168],"are":[174],"equally":[175],"treated.":[176],"Extensive":[177],"experiments":[178],"two":[180],"major":[181],"benchmarks,":[182],"i.e.,":[183,196],"Office-Home":[184],"DomainNet,":[186],"show":[187],"compares":[190],"favorably":[191],"against":[192],"four":[193],"competitive":[194],"baselines,":[195],"DDC,":[197],"DANN,":[198],"DAAN,":[199],"CDAN,":[201],"tasks.":[207],"Our":[208],"study":[209],"also":[210],"reveals":[211],"current":[214],"models":[216],"improve":[217],"their":[218],"at":[224],"cost":[226],"noticeable":[228],"loss":[230]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}