{"id":"https://openalex.org/W4408352753","doi":"https://doi.org/10.1109/icassp49660.2025.10888174","title":"Class Relevance Learning for Out-of-Distribution Detection","display_name":"Class Relevance Learning for Out-of-Distribution Detection","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352753","doi":"https://doi.org/10.1109/icassp49660.2025.10888174"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5073315875","display_name":"Liguang Zhou","orcid":"https://orcid.org/0000-0003-0237-1377"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liguang Zhou","raw_affiliation_strings":["The Chinese University of Hong Kong,School of Science and Engineering,Shenzhen"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,School of Science and Engineering,Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114082883","display_name":"Butian Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Butian Xiong","raw_affiliation_strings":["The Chinese University of Hong Kong,School of Science and Engineering,Shenzhen"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,School of Science and Engineering,Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076185690","display_name":"Tin Lun Lam","orcid":"https://orcid.org/0000-0002-6363-1446"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tin Lun Lam","raw_affiliation_strings":["The Chinese University of Hong Kong,School of Science and Engineering,Shenzhen"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,School of Science and Engineering,Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112309496","display_name":"Yangsheng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangsheng Xu","raw_affiliation_strings":["The Chinese University of Hong Kong,School of Science and Engineering,Shenzhen"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,School of Science and Engineering,Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073315875"],"corresponding_institution_ids":["https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02015009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6564970016479492},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.651582658290863},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5897122025489807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3570905327796936},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08308687806129456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6564970016479492},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.651582658290863},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5897122025489807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3570905327796936},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08308687806129456},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2343076010","https://openalex.org/W2551176409","https://openalex.org/W2623821398","https://openalex.org/W2732026016","https://openalex.org/W2921271542","https://openalex.org/W2979854415","https://openalex.org/W3035073218","https://openalex.org/W3188132485","https://openalex.org/W3190504072","https://openalex.org/W3204557602","https://openalex.org/W4285102229","https://openalex.org/W4312284582","https://openalex.org/W4360596622","https://openalex.org/W4386083133","https://openalex.org/W4386159374","https://openalex.org/W4404775376","https://openalex.org/W6703116779","https://openalex.org/W6728622933","https://openalex.org/W6745891213","https://openalex.org/W6787380718","https://openalex.org/W6787972765","https://openalex.org/W6801968024","https://openalex.org/W6845991869"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Image":[0],"classification":[1,118],"plays":[2],"a":[3,39,89],"pivotal":[4],"role":[5],"across":[6],"diverse":[7,113],"robotic":[8],"applications,":[9],"yet":[10],"challenges":[11],"persist":[12],"when":[13],"models":[14,21],"are":[15],"deployed":[16],"in":[17,32],"real-world":[18,46],"scenarios.":[19],"These":[20],"often":[22,62],"fail":[23],"to":[24,55],"detect":[25],"out-of-distribution":[26],"(OOD)":[27],"samples,":[28],"classes":[29],"not":[30],"included":[31],"their":[33],"training.":[34],"This":[35,72,103],"makes":[36],"OOD":[37,59,84,101,107,121,124,136],"detection":[38,108],"significant":[40],"challenge":[41],"for":[42,58,83,135],"safe":[43],"and":[44,122],"effective":[45,70],"use.":[47],"While":[48],"existing":[49],"techniques,":[50],"like":[51],"max":[52],"logits,":[53],"aim":[54],"leverage":[56],"logits":[57],"identification,":[60],"they":[61],"disregard":[63],"the":[64,100,127],"intricate":[65],"interclass":[66,97],"relationships":[67,98],"that":[68],"underlie":[69],"detection.":[71,85,137],"paper":[73],"presents":[74],"an":[75],"innovative":[76],"class":[77,91],"relevance":[78,92],"learning":[79,93],"(CRL)":[80],"method":[81,87,131],"tailored":[82],"Our":[86],"establishes":[88],"comprehensive":[90],"framework,":[94],"strategically":[95],"harnessing":[96],"within":[99],"pipeline.":[102],"framework":[104],"significantly":[105],"augments":[106],"capabilities.":[109],"Extensive":[110],"experimentation":[111],"on":[112,142],"datasets,":[114],"encompassing":[115],"generic":[116],"image":[117],"datasets":[119],"(Near":[120],"Far":[123],"datasets),":[125],"demonstrates":[126],"superiority":[128],"of":[129],"our":[130],"over":[132],"state-of-the-art":[133],"alternatives":[134],"The":[138],"code":[139],"is":[140],"available":[141],"GitHub":[143],"at:":[144],"CRL.":[145]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}