{"id":"https://openalex.org/W4386113255","doi":"https://doi.org/10.1109/cvpr52729.2023.00330","title":"Decoupling MaxLogit for Out-of-Distribution Detection","display_name":"Decoupling MaxLogit for Out-of-Distribution Detection","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386113255","doi":"https://doi.org/10.1109/cvpr52729.2023.00330"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.00330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.00330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5100410563","display_name":"Zihan Zhang","orcid":"https://orcid.org/0009-0004-8852-8156"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihan Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology,Key Lab of Image Processing and Intelligent Control, Ministry of Education,China","Key Lab of Image Processing and Intelligent Control, Ministry of Education, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology,Key Lab of Image Processing and Intelligent Control, Ministry of Education,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Key Lab of Image Processing and Intelligent Control, Ministry of Education, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060817282","display_name":"Xiang Xiang","orcid":"https://orcid.org/0000-0003-0606-6193"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Xiang","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology,Key Lab of Image Processing and Intelligent Control, Ministry of Education,China","Key Lab of Image Processing and Intelligent Control, Ministry of Education, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology,Key Lab of Image Processing and Intelligent Control, Ministry of Education,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Key Lab of Image Processing and Intelligent Control, Ministry of Education, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100410563"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":7.1573,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.9782263,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3388","last_page":"3397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9997000098228455,"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":0.9990000128746033,"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":0.6954121589660645},{"id":"https://openalex.org/keywords/logit","display_name":"Logit","score":0.5961346626281738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4978797435760498},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.4222016930580139},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.41106078028678894},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39996591210365295},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3899731934070587},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13303062319755554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6954121589660645},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.5961346626281738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4978797435760498},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.4222016930580139},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.41106078028678894},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39996591210365295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3899731934070587},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13303062319755554},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.00330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.00330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W967544008","https://openalex.org/W1831674524","https://openalex.org/W1932198206","https://openalex.org/W2017814585","https://openalex.org/W2047643928","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2335728318","https://openalex.org/W2520774990","https://openalex.org/W2531327146","https://openalex.org/W2609575245","https://openalex.org/W2732026016","https://openalex.org/W2767414122","https://openalex.org/W2784163702","https://openalex.org/W2797977484","https://openalex.org/W2867167548","https://openalex.org/W2952140516","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2964137095","https://openalex.org/W2970121940","https://openalex.org/W2990064013","https://openalex.org/W3005680577","https://openalex.org/W3006853338","https://openalex.org/W3034230713","https://openalex.org/W3035693354","https://openalex.org/W3065974826","https://openalex.org/W3092527263","https://openalex.org/W3101149139","https://openalex.org/W3101227480","https://openalex.org/W3103152812","https://openalex.org/W3113089224","https://openalex.org/W3118608800","https://openalex.org/W3159913668","https://openalex.org/W3176709420","https://openalex.org/W3181933907","https://openalex.org/W3202461527","https://openalex.org/W3205597769","https://openalex.org/W3214671430","https://openalex.org/W3216820735","https://openalex.org/W4221167530","https://openalex.org/W4223977507","https://openalex.org/W4281261683","https://openalex.org/W4283455577","https://openalex.org/W4286905471","https://openalex.org/W4287812705","https://openalex.org/W4293478066","https://openalex.org/W4306313214","https://openalex.org/W4312776478","https://openalex.org/W4313125090","https://openalex.org/W6625168331","https://openalex.org/W6638807622","https://openalex.org/W6713132643","https://openalex.org/W6728622933","https://openalex.org/W6745891213","https://openalex.org/W6752760542","https://openalex.org/W6754995574","https://openalex.org/W6774314701","https://openalex.org/W6776700526","https://openalex.org/W6784323503","https://openalex.org/W6784736176","https://openalex.org/W6787380718","https://openalex.org/W6795054371","https://openalex.org/W6797520850","https://openalex.org/W6801968024","https://openalex.org/W6802159084","https://openalex.org/W6802647179","https://openalex.org/W6803950395","https://openalex.org/W6809902071","https://openalex.org/W6810300553","https://openalex.org/W6838851185","https://openalex.org/W6842019321","https://openalex.org/W6845991869"],"related_works":["https://openalex.org/W2152950565","https://openalex.org/W1617565119","https://openalex.org/W160381218","https://openalex.org/W2512958550","https://openalex.org/W2099777870","https://openalex.org/W2329266651","https://openalex.org/W3103825105","https://openalex.org/W2004102934","https://openalex.org/W2559245114","https://openalex.org/W2077865273"],"abstract_inverted_index":{"In":[0],"machine":[1],"learning,":[2],"it":[3],"is":[4,29,41,45,93,107],"often":[5],"observed":[6],"that":[7,91,146],"standard":[8],"training":[9],"outputs":[10],"anomalously":[11],"high":[12],"confidence":[13],"for":[14,38,121],"both":[15],"in-distribution":[16],"(ID)":[17],"and":[18,78,81,86,126,150,176,178],"out-of-distribution":[19],"(OOD)":[20],"data.":[21],"Thus,":[22],"the":[23,32,48,54,67,73,98,103,113,117,131,143,155,165],"ability":[24],"to":[25,31,65,83,123,139,158],"detect":[26],"OOD":[27,39,58,170],"samples":[28,149],"critical":[30],"model":[33],"deployment.":[34],"An":[35],"essential":[36],"step":[37],"detection":[40,171],"post-hoc":[42],"scoring.":[43],"MaxLogit":[44,106,119],"one":[46],"of":[47,100,105,133,167],"simplest":[49],"scoring":[50,69],"functions":[51],"which":[52],"uses":[53],"maximum":[55],"logits":[56],"as":[57],"score.":[59],"To":[60,111,128],"provide":[61],"a":[62,94],"new":[63,144],"viewpoint":[64],"study":[66],"logit-based":[68,160,169],"function,":[70],"we":[71,115,136],"reformulate":[72],"logit":[74,79],"into":[75],"cosine":[76],"similarity":[77],"norm":[80],"propose":[82,116],"use":[84],"MaxCosine":[85,92,125],"MaxNorm.":[87,110,127],"We":[88,163],"empirically":[89],"find":[90],"core":[95,132],"factor":[96],"in":[97],"effectiveness":[99,166],"MaxLogit.":[101],"And":[102],"performance":[104],"encumbered":[108],"by":[109],"tackle":[112],"problem,":[114],"Decoupling":[118],"(DML)":[120],"flexibility":[122],"balance":[124],"further":[129],"embody":[130],"our":[134,168],"method,":[135],"extend":[137],"DML":[138],"DML+":[140],"based":[141],"on":[142,173],"insights":[145],"fewer":[147],"hard":[148],"compact":[151],"feature":[152],"space":[153],"are":[154],"key":[156],"components":[157],"make":[159],"methods":[161,172],"effective.":[162],"demonstrate":[164],"CIFAR-10,":[174],"CIFAR-100":[175],"ImageNet":[177],"establish":[179],"state-of-the-art":[180],"performance.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
