{"id":"https://openalex.org/W4410115236","doi":"https://doi.org/10.1109/tmm.2025.3565972","title":"OpenSlot: Mixed Open-Set Recognition With Object-Centric Learning","display_name":"OpenSlot: Mixed Open-Set Recognition With Object-Centric Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410115236","doi":"https://doi.org/10.1109/tmm.2025.3565972"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3565972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3565972","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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":null,"display_name":"Xu Yin","orcid":"https://orcid.org/0000-0003-1967-7030"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Xu Yin","raw_affiliation_strings":["School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-1967-7030","affiliations":[{"raw_affiliation_string":"School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063873349","display_name":"Fei Pan","orcid":"https://orcid.org/0000-0002-6361-0936"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Pan","raw_affiliation_strings":["School of Computer Science Engineering, University of Michigan, Ann Arbor, MI, USA","School of Computer Science Engineering, University of Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"School of Computer Science Engineering, University of Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081376949","display_name":"Guoyuan An","orcid":"https://orcid.org/0009-0008-6233-757X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Guoyuan An","raw_affiliation_strings":["School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0009-0008-6233-757X","affiliations":[{"raw_affiliation_string":"School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081150377","display_name":"Yuchi Huo","orcid":"https://orcid.org/0000-0003-3296-7999"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchi Huo","raw_affiliation_strings":["State Key Lab of CAD and CG, Zhejiang University, Hangzhou, China","State Key Lab of CAD and CG, Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0003-3296-7999","affiliations":[{"raw_affiliation_string":"State Key Lab of CAD and CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"State Key Lab of CAD and CG, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102611301","display_name":"Zixuan Xie","orcid":"https://orcid.org/0009-0001-9086-1351"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Xie","raw_affiliation_strings":["Institute of Computing Technology, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-9086-1351","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078173428","display_name":"Sung\u2010Eui Yoon","orcid":"https://orcid.org/0000-0002-7123-1119"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Eui Yoon","raw_affiliation_strings":["Faculty of School of Computing, Korea Advanced Institute of Science and Technology, Deajeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-7123-1119","affiliations":[{"raw_affiliation_string":"Faculty of School of Computing, Korea Advanced Institute of Science and Technology, Deajeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86301299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"27","issue":null,"first_page":"6019","last_page":"6030"},"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":0.8878999948501587,"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":0.8878999948501587,"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":0.8382999897003174,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.8166999816894531,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8768144845962524},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.49527254700660706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4899289011955261},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.450344979763031},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43592894077301025},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33810955286026},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11684960126876831}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8768144845962524},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.49527254700660706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4899289011955261},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.450344979763031},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43592894077301025},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33810955286026},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11684960126876831}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3565972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3565972","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5729735632","display_name":null,"funder_award_id":"62441205","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"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2194775991","https://openalex.org/W2901114541","https://openalex.org/W3096609285","https://openalex.org/W3134961575","https://openalex.org/W3159481202","https://openalex.org/W4214756262","https://openalex.org/W4224941647","https://openalex.org/W4284713852","https://openalex.org/W4285293775","https://openalex.org/W4288083516","https://openalex.org/W4291653121","https://openalex.org/W4312426709","https://openalex.org/W4312447943","https://openalex.org/W4386057722","https://openalex.org/W4386071643","https://openalex.org/W4389610214","https://openalex.org/W4390872143","https://openalex.org/W4394597916","https://openalex.org/W4399929809","https://openalex.org/W4403759910","https://openalex.org/W4404612908"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Existing":[0],"open-set":[1,181],"recognition":[2],"(OSR)":[3],"studies":[4],"typically":[5],"assume":[6],"that":[7,70],"each":[8],"image":[9],"contains":[10],"only":[11,146],"one":[12],"class":[13,51,95,99,125,169],"label,":[14],"with":[15,53],"the":[16,27,42,61,81,109,121],"unknown":[17,57],"test":[18,29,47],"set":[19,30],"(negative)":[20],"having":[21],"a":[22,32,65],"disjoint":[23],"label":[24],"space":[25],"from":[26],"known":[28,55],"(positive),":[31],"scenario":[33],"referred":[34],"to":[35,64,92],"as":[36],"full-label":[37],"shift.":[38],"This":[39],"paper":[40],"introduces":[41],"mixed":[43,135],"OSR":[44,138,155],"problem,":[45],"where":[46],"images":[48],"contain":[49],"multiple":[50],"semantics,":[52],"both":[54,134],"and":[56,97,127,136,184],"classes":[58],"co-occurring":[59],"in":[60,150,180],"negatives,":[62],"leading":[63],"more":[66],"complex":[67],"super-label":[68,152],"shift":[69],"better":[71],"reflects":[72],"real-world":[73],"scenarios.":[74],"To":[75],"tackle":[76],"this":[77],"challenge,":[78],"we":[79],"propose":[80],"OpenSlot":[82,132,166],"framework,":[83],"based":[84],"on":[85,133,162],"object-centric":[86],"learning,":[87],"which":[88],"uses":[89],"slot":[90,104],"features":[91],"represent":[93],"diverse":[94],"semantics":[96],"generate":[98],"predictions.":[100],"The":[101],"proposed":[102],"anti-noise":[103],"(ANS)":[105],"technique":[106],"helps":[107],"mitigate":[108],"impact":[110],"of":[111],"noise":[112],"(invalid":[113],"or":[114],"background)":[115],"slots":[116],"during":[117,175],"classification":[118],"training,":[119,176],"addressing":[120],"semantic":[122],"misalignment":[123],"between":[124],"predictions":[126],"ground":[128],"truth.":[129],"We":[130],"evaluate":[131],"conventional":[137,163],"benchmarks.":[139,164],"Without":[140],"elaborate":[141],"designs,":[142],"our":[143],"method":[144],"not":[145],"excels":[147],"existing":[148],"approaches":[149],"detecting":[151],"shifts":[153],"across":[154],"tasks,":[156],"but":[157],"also":[158],"achieves":[159],"state-of-the-art":[160],"performance":[161,179],"Meanwhile,":[165],"can":[167],"localize":[168],"objects":[170],"without":[171],"using":[172],"bounding":[173],"boxes":[174],"demonstrating":[177],"competitive":[178],"object":[182],"detection":[183],"potential":[185],"for":[186],"generalization.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}