{"id":"https://openalex.org/W4285600185","doi":"https://doi.org/10.24963/ijcai.2022/286","title":"Constrained Adaptive Projection with Pretrained Features for Anomaly Detection","display_name":"Constrained Adaptive Projection with Pretrained Features for Anomaly Detection","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285600185","doi":"https://doi.org/10.24963/ijcai.2022/286"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/286","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/286","pdf_url":"https://www.ijcai.org/proceedings/2022/0286.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0286.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007286889","display_name":"Xingtai Gui","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingtai Gui","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China(UESTC)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China(UESTC)","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599890","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-4753-8161"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China(UESTC)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China(UESTC)","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101781929","display_name":"Yang Chang","orcid":"https://orcid.org/0000-0002-8482-9208"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210137766","display_name":"Institute for Advanced Study","ror":"https://ror.org/03xg85719","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137766"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Yang Chang","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China(UESTC)","Shenzhen Institute for Advanced Study, UESTC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China(UESTC)","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Shenzhen Institute for Advanced Study, UESTC","institution_ids":["https://openalex.org/I4210137766"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028760217","display_name":"Shicai Fan","orcid":"https://orcid.org/0000-0002-1993-6074"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210137766","display_name":"Institute for Advanced Study","ror":"https://ror.org/03xg85719","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137766"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Shicai Fan","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China(UESTC)","Shenzhen Institute for Advanced Study, UESTC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China(UESTC)","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Shenzhen Institute for Advanced Study, UESTC","institution_ids":["https://openalex.org/I4210137766"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4153,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56761198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2059","last_page":"2065"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/anomaly-detection","display_name":"Anomaly detection","score":0.815659761428833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7333306074142456},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6937819719314575},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6611678004264832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6517882943153381},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5925834774971008},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5800937414169312},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5388137698173523},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5066638588905334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13058578968048096},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13052362203598022}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.815659761428833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333306074142456},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6937819719314575},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6611678004264832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6517882943153381},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5925834774971008},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5800937414169312},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5388137698173523},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5066638588905334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13058578968048096},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13052362203598022},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/286","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/286","pdf_url":"https://www.ijcai.org/proceedings/2022/0286.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/286","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/286","pdf_url":"https://www.ijcai.org/proceedings/2022/0286.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4588399375","display_name":"\u57fa\u4e8e\u6269\u5c55DNA\u7532\u57fa\u5316\u6570\u636e\u7684\u764c\u75c7\u6807\u5fd7\u7269\u6316\u6398\u7814\u7a76","funder_award_id":"61872063","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285600185.pdf","grobid_xml":"https://content.openalex.org/works/W4285600185.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1530232915","https://openalex.org/W2031783188","https://openalex.org/W2081402697","https://openalex.org/W2132870739","https://openalex.org/W2295107390","https://openalex.org/W2803697594","https://openalex.org/W2923172917","https://openalex.org/W2933801392","https://openalex.org/W2954540134","https://openalex.org/W2963049059","https://openalex.org/W2985754018","https://openalex.org/W2987228832","https://openalex.org/W3005680577","https://openalex.org/W3013379031","https://openalex.org/W3034314048","https://openalex.org/W3089028909","https://openalex.org/W3108261849","https://openalex.org/W3129166376","https://openalex.org/W3157224024","https://openalex.org/W3157506437","https://openalex.org/W3169077988","https://openalex.org/W3175716777","https://openalex.org/W3205597769","https://openalex.org/W3213646008","https://openalex.org/W4288335160","https://openalex.org/W4385245566","https://openalex.org/W6758172601","https://openalex.org/W6863994431"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,45,137,142,146],"aims":[2],"to":[3,88,101],"separate":[4],"anomalies":[5],"from":[6],"normal":[7,75,119],"samples,":[8],"and":[9,69,82,115,121,129,143,159],"the":[10,20,27,90,109],"pretrained":[11,21,52,57,74,128],"network":[12],"is":[13,77,86,99],"promising":[14],"for":[15,79],"anomaly":[16,44,136,141,145],"detection.":[17],"However,":[18],"adapting":[19],"features":[22,53],"would":[23],"be":[24],"confronted":[25],"with":[26,51,56],"risk":[28],"of":[29],"pattern":[30,104],"collapse":[31],"when":[32],"finetuning":[33],"on":[34,65,139,151,156,162],"one-class":[35,93],"training":[36],"data.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"an":[43],"framework":[46],"called":[47],"constrained":[48],"adaptive":[49,118,130],"projection":[50,62],"(CAP).":[54],"Combined":[55],"features,":[58],"a":[59,66,83,112,123],"simple":[60],"linear":[61],"head":[63],"applied":[64],"specific":[67,113],"input":[68],"its":[70,116],"k":[71],"most":[72],"similar":[73],"representations":[76],"designed":[78],"feature":[80],"adaptation,":[81],"reformed":[84],"self-attention":[85],"leveraged":[87],"mine":[89],"inner-relationship":[91],"among":[92],"semantic":[94,140],"features.":[95],"A":[96],"loss":[97],"function":[98],"proposed":[100],"avoid":[102],"potential":[103],"collapse.":[105],"Concretely,":[106],"it":[107],"considers":[108],"similarity":[110],"between":[111],"data":[114],"corresponding":[117],"representation,":[120],"incorporates":[122],"constraint":[124],"term":[125],"slightly":[126],"aligning":[127],"spaces.":[131],"Our":[132],"method":[133],"achieves":[134],"state-of-the-art":[135],"performance":[138],"sensory":[144],"benchmarks":[147],"including":[148],"96.5%":[149],"AUROC":[150,155,161],"CIFAR-100":[152],"dataset,":[153],"97.0%":[154],"CIFAR-10":[157],"dataset":[158],"89.9%":[160],"MvTec":[163],"dataset.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}