{"id":"https://openalex.org/W4401628491","doi":"https://doi.org/10.1109/tcsvt.2024.3445182","title":"Causal Evidence Learning for Trusted Open Set Recognition Under Covariate Shift","display_name":"Causal Evidence Learning for Trusted Open Set Recognition Under Covariate Shift","publication_year":2024,"publication_date":"2024-08-16","ids":{"openalex":"https://openalex.org/W4401628491","doi":"https://doi.org/10.1109/tcsvt.2024.3445182"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3445182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3445182","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/A5020357892","display_name":"Qingsen Bao","orcid":"https://orcid.org/0000-0001-8697-8074"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingsen Bao","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778791","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-6071-8888"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102550073","display_name":"Feng Zhang","orcid":"https://orcid.org/0009-0007-2072-9359"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712167","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0001-9548-0411"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China","School of Communication and Information Engineering, Shanghai University, Shanghai, Chian"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, Chian","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100604565","display_name":"Changqing Zhang","orcid":"https://orcid.org/0000-0001-9779-705X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqing Zhang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020357892"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":1.0245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80346116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"34","issue":"12","first_page":"13085","last_page":"13098"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9624000191688538,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9624000191688538,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9373000264167786,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9258000254631042,"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":0.6984212398529053},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.49375900626182556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.491030216217041},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.465553343296051},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3393271863460541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984212398529053},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.49375900626182556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.491030216217041},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.465553343296051},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3393271863460541},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3445182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3445182","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G4579539271","display_name":null,"funder_award_id":"2022YFB3303800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5587873235","display_name":null,"funder_award_id":"62202241","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G731190458","display_name":null,"funder_award_id":"61872190","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/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":51,"referenced_works":["https://openalex.org/W1638081485","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2763549966","https://openalex.org/W2779610669","https://openalex.org/W2912406707","https://openalex.org/W2921789662","https://openalex.org/W2962858109","https://openalex.org/W2963149653","https://openalex.org/W2963875483","https://openalex.org/W2981720610","https://openalex.org/W3034373371","https://openalex.org/W3134961575","https://openalex.org/W3135588948","https://openalex.org/W3161644624","https://openalex.org/W3177034761","https://openalex.org/W3190457880","https://openalex.org/W4205112112","https://openalex.org/W4214519690","https://openalex.org/W4214751560","https://openalex.org/W4220784517","https://openalex.org/W4282837255","https://openalex.org/W4284713852","https://openalex.org/W4285259169","https://openalex.org/W4285900042","https://openalex.org/W4292347774","https://openalex.org/W4292787479","https://openalex.org/W4307648541","https://openalex.org/W4312447943","https://openalex.org/W4366503872","https://openalex.org/W4366968019","https://openalex.org/W4393161065","https://openalex.org/W6618476874","https://openalex.org/W6639480849","https://openalex.org/W6682803231","https://openalex.org/W6683124652","https://openalex.org/W6703116779","https://openalex.org/W6739651123","https://openalex.org/W6745454490","https://openalex.org/W6745891213","https://openalex.org/W6752160200","https://openalex.org/W6752745768","https://openalex.org/W6754995574","https://openalex.org/W6756444276","https://openalex.org/W6757555829","https://openalex.org/W6758132781","https://openalex.org/W6779676466","https://openalex.org/W6784146242","https://openalex.org/W6787972765","https://openalex.org/W6788887552","https://openalex.org/W6802159084"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Trusted":[0],"open":[1,34,107,185,211],"set":[2,35,108,186,212],"recognition":[3,25,36,109,213],"aims":[4],"to":[5,20,38,60,104,119,175],"classify":[6],"known":[7,50],"classes":[8,51,155],"and":[9,56,96,129,170,179,195],"reject":[10],"unknown":[11,154],"ones,":[12],"as":[13,15],"well":[14],"outputs":[16],"an":[17],"uncertainty":[18,128,223],"estimate":[19],"measure":[21],"the":[22,29,45,49,61,87,139,149,158,173,199,202,220],"reliability":[23,221],"of":[24,32,48,64,151,153,168,201,222],"results,":[26],"thus":[27],"extending":[28],"application":[30],"scenarios":[31],"traditional":[33],"methods":[37,42,71],"risk-sensitive":[39],"fields.":[40],"Current":[41],"assume":[43],"that":[44,206],"covariate":[46,65,111,216],"distribution":[47],"remains":[52],"constant":[53],"during":[54],"training":[55,121],"testing.":[57],"However,":[58],"due":[59],"common":[62],"occurrence":[63],"shift":[66,217],"in":[67],"practical":[68],"applications,":[69],"existing":[70],"often":[72],"suffer":[73],"from":[74],"limited":[75],"generalization.":[76],"To":[77],"this":[78],"end,":[79],"a":[80],"causal":[81,143,146,181],"evidence":[82,182],"learning":[83],"framework,":[84],"highlighted":[85],"by":[86,125,131,138,157],"controllable":[88,126],"Evidential":[89],"Uncertainty":[90],"Guided":[91],"Adversarial":[92,98],"Data":[93],"Augmentation":[94],"(EUG-ADA)":[95],"Causal":[97],"Disentanglement":[99],"(CausalAD)":[100],"strategies,":[101],"is":[102,136,227],"proposed":[103,203],"support":[105],"trusted":[106,184],"under":[110,215],"shift.":[112],"Specifically,":[113],"EUG-ADA":[114,169],"generates":[115],"high-quality":[116],"augmentation":[117],"samples":[118],"increase":[120],"data":[122,197],"diversity,":[123],"guided":[124],"evidential":[127],"constrained":[130],"semantic":[132],"consistency.":[133],"Moreover,":[134],"it":[135,207],"complemented":[137],"CausalAD,":[140],"which":[141],"learns":[142],"representations":[144],"through":[145],"intervention,":[147],"mitigating":[148],"risk":[150],"misrecognition":[152],"caused":[156],"model\u2019s":[159],"reliance":[160],"on":[161,192,229],"shortcuts":[162],"for":[163,183],"prediction.":[164],"The":[165,225],"combined":[166],"effect":[167],"CausalAD":[171],"enables":[172],"model":[174],"learn":[176],"more":[177],"generalized":[178],"robust":[180],"recognition.":[187],"Finally,":[188],"extensive":[189],"experimental":[190],"results":[191],"both":[193],"real-world":[194],"synthetic":[196],"validate":[198],"effectiveness":[200],"method,":[204],"demonstrating":[205],"improves":[208],"not":[209],"only":[210],"performance":[214],"but":[218],"also":[219],"estimates.":[224],"code":[226],"released":[228],"<uri":[230],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[231],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/ScorpioBao/CEL-OSR</uri>.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}