{"id":"https://openalex.org/W4412494073","doi":"https://doi.org/10.1109/tpami.2025.3590717","title":"Enhanced Dual-Pattern Matching With Vision-Language Representation for Out-of-Distribution Detection","display_name":"Enhanced Dual-Pattern Matching With Vision-Language Representation for Out-of-Distribution Detection","publication_year":2025,"publication_date":"2025-07-18","ids":{"openalex":"https://openalex.org/W4412494073","doi":"https://doi.org/10.1109/tpami.2025.3590717","pmid":"https://pubmed.ncbi.nlm.nih.gov/40679895"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3590717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3590717","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/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 Computer Science and Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology (HUST), Wuhan, China","School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0003-0606-6193","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology (HUST), Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049414129","display_name":"Zhuo Xu","orcid":"https://orcid.org/0009-0000-1530-8938"},"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":"Zhuo Xu","raw_affiliation_strings":["School of Artificial Intelligence and Automation, HUST, Wuhan, China","School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0000-1530-8938","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, HUST, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zihan Zhang","orcid":"https://orcid.org/0009-0000-8256-5950"},"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":"Zihan Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Automation, HUST, Wuhan, China","School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0000-8256-5950","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, HUST, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081245089","display_name":"Zhigang Zeng","orcid":"https://orcid.org/0000-0003-4587-3588"},"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":"Zhigang Zeng","raw_affiliation_strings":["School of Artificial Intelligence and Automation, HUST, Wuhan, China","School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0003-4587-3588","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, HUST, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083420537","display_name":"Xilin Chen","orcid":"https://orcid.org/0000-0003-3024-4404"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilin Chen","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3024-4404","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7655,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7238126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"47","issue":"11","first_page":"9673","last_page":"9687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9970999956130981,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9958999752998352,"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/T10028","display_name":"Topic Modeling","score":0.9950000047683716,"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":0.870516300201416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6085047721862793},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5120820999145508},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5073942542076111},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4717351198196411},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4296717047691345},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4100547730922699},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38088107109069824},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3766461908817291}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.870516300201416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6085047721862793},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5120820999145508},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5073942542076111},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4717351198196411},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4296717047691345},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4100547730922699},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38088107109069824},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3766461908817291},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3590717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3590717","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40679895","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40679895","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G6708423896","display_name":null,"funder_award_id":"PCL2023A08","funder_id":"https://openalex.org/F4320318558","funder_display_name":"Peng Cheng Laboratory"}],"funders":[{"id":"https://openalex.org/F4320318558","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1932198206","https://openalex.org/W1980038761","https://openalex.org/W2017814585","https://openalex.org/W2047643928","https://openalex.org/W2108598243","https://openalex.org/W2155904486","https://openalex.org/W2592962403","https://openalex.org/W2732026016","https://openalex.org/W2797977484","https://openalex.org/W2970121940","https://openalex.org/W2990064013","https://openalex.org/W3006853338","https://openalex.org/W3034230713","https://openalex.org/W3037492894","https://openalex.org/W3176709420","https://openalex.org/W3176732771","https://openalex.org/W3181933907","https://openalex.org/W3183754277","https://openalex.org/W3198377975","https://openalex.org/W3202461527","https://openalex.org/W4312310776","https://openalex.org/W4312776478","https://openalex.org/W4312906278","https://openalex.org/W4312960937","https://openalex.org/W4313125090","https://openalex.org/W4313175608","https://openalex.org/W4382458283","https://openalex.org/W4386065512","https://openalex.org/W4386065763","https://openalex.org/W4386071547","https://openalex.org/W4386113255","https://openalex.org/W4386790226","https://openalex.org/W4386890345","https://openalex.org/W4389763301","https://openalex.org/W4390190770","https://openalex.org/W4390394193","https://openalex.org/W4390872508","https://openalex.org/W4390873118","https://openalex.org/W4390873714","https://openalex.org/W4404724980","https://openalex.org/W4409263263"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W1972035260","https://openalex.org/W2062195135","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W4298151006"],"abstract_inverted_index":{"Out-of-distribution":[0],"(OOD)":[1],"detection":[2,40,50,105,177,216],"presents":[3],"a":[4,93,205],"significant":[5],"challenge":[6],"in":[7,28,38,67,88,214],"deploying":[8],"pattern":[9],"recognition":[10],"and":[11,111,119,129,143],"machine":[12],"learning":[13],"models,":[14],"as":[15,140,148],"they":[16],"frequently":[17],"fail":[18],"to":[19,21,158,161,173],"generalize":[20],"data":[22,58],"from":[23],"unseen":[24],"distributions.":[25],"Recent":[26],"advancements":[27],"vision-language":[29,212],"models":[30],"(VLMs),":[31],"particularly":[32],"CLIP,":[33],"have":[34],"demonstrated":[35],"promising":[36],"results":[37],"OOD":[39,49,89,104,163,176,198,215],"through":[41,122],"their":[42],"rich":[43],"multimodal":[44,195],"representations.":[45],"However,":[46],"current":[47],"CLIP-based":[48],"methods":[51,186],"predominantly":[52],"rely":[53],"on":[54,187],"single-modality":[55],"in-distribution":[56],"(ID)":[57],"(e.g.,":[59],"textual":[60,110,120,138,141],"cues),":[61],"overlooking":[62],"the":[63,123,191],"valuable":[64],"information":[65,80,196],"contained":[66],"ID":[68,78,113,145],"visual":[69,79,112,118,146,149],"cues.":[70],"In":[71],"this":[72],"work,":[73],"we":[74,166],"demonstrate":[75,181],"that":[76,182],"incorporating":[77],"is":[81],"crucial":[82],"for":[83,103,197,210],"unlocking":[84],"CLIP's":[85],"full":[86],"potential":[87],"detection.":[90,199],"We":[91],"propose":[92],"novel":[94],"approach,":[95],"Dual-Pattern":[96],"Matching":[97],"(DPM),":[98],"which":[99],"effectively":[100],"adapts":[101],"CLIP":[102],"by":[106],"jointly":[107],"exploiting":[108],"both":[109,159],"patterns.":[114,150],"Specifically,":[115],"DPM":[116,135,153,168,183],"refines":[117],"features":[121,139,147],"proposed":[124,201],"Domain-Specific":[125],"Feature":[126],"Aggregation":[127],"(DSFA)":[128],"Prompt":[130],"Enhancement":[131],"(PE)":[132],"modules.":[133],"Subsequently,":[134],"stores":[136],"class-wise":[137],"patterns":[142,160],"aggregates":[144],"During":[151],"inference,":[152],"calculates":[154],"similarity":[155],"scores":[156],"relative":[157],"identify":[162],"data.":[164],"Furthermore,":[165],"enhance":[167],"with":[169],"lightweight":[170],"adaptation":[171],"mechanisms":[172],"further":[174],"boost":[175],"performance.":[178],"Comprehensive":[179],"experiments":[180],"surpasses":[184],"state-of-the-art":[185],"multiple":[188],"benchmarks,":[189],"highlighting":[190],"effectiveness":[192],"of":[193],"leveraging":[194,211],"The":[200],"dual-pattern":[202],"approach":[203],"provides":[204],"simple":[206],"yet":[207],"robust":[208],"framework":[209],"representations":[213],"tasks.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}