{"id":"https://openalex.org/W4384644334","doi":"https://doi.org/10.48550/arxiv.2307.08059","title":"LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection","display_name":"LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4384644334","doi":"https://doi.org/10.48550/arxiv.2307.08059"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2307.08059","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2307.08059","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027688515","display_name":"Haonan Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Haonan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109623664","display_name":"Guanlong Jiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiao, Guanlong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076476133","display_name":"Qianhui Wu","orcid":"https://orcid.org/0000-0001-9567-4128"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Qianhui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015011965","display_name":"B\u00f6rje F. Karlsson","orcid":"https://orcid.org/0000-0001-8925-360X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karlsson, Borje F.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039727796","display_name":"Biqing Huang","orcid":"https://orcid.org/0000-0002-5600-7055"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Biqing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5045892713","display_name":"Chin Yew Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Chin Yew","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.778623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":78,"max":84},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9999,"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":0.9999,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9871,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9815,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.65742093},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.57907706},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5269925},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.52038157},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.47220525},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4553831}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75070536},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7315941},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.65742093},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.57907706},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.54879844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.53832436},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5269925},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.52038157},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.50815964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48579717},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.47220525},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4553831},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4518551},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4077845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3747509},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2307.08059","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2307.08059","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2307.08059","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4390421286","https://openalex.org/W4389724018","https://openalex.org/W4360995913","https://openalex.org/W4318719684","https://openalex.org/W4318559728","https://openalex.org/W4312193868","https://openalex.org/W4280563792","https://openalex.org/W3183136280","https://openalex.org/W2775233965","https://openalex.org/W2140186469"],"abstract_inverted_index":{"In":[0],"the":[1,24,53,65,83,88,99,114,118,154,187],"context":[2],"of":[3,16,26,87,102,120,131,173],"flexible":[4],"manufacturing":[5],"systems":[6],"that":[7,81,153],"are":[8,113,184],"required":[9],"to":[10,35,41,63,91,106,140,186],"produce":[11],"different":[12],"types":[13],"and":[14,56,96,127,150],"quantities":[15],"products":[17],"with":[18,161],"minimal":[19],"reconfiguration,":[20],"this":[21,142],"paper":[22],"addresses":[23],"problem":[25,119],"unsupervised":[27,124],"multi-class":[28],"anomaly":[29,125,133],"detection:":[30],"develop":[31],"a":[32,77,129,136,168],"unified":[33],"model":[34,90],"detect":[36],"anomalies":[37],"from":[38],"objects":[39],"belonging":[40],"multiple":[42],"classes":[43],"when":[44],"only":[45],"normal":[46,103],"data":[47,134],"is":[48],"accessible.":[49],"We":[50,74],"first":[51,115],"explore":[52],"generative-based":[54],"approach":[55],"investigate":[57],"latent":[58],"diffusion":[59,89],"models":[60],"for":[61,135],"reconstruction":[62,100],"mitigate":[64],"notorious":[66],"``identity":[67,94],"shortcut''":[68],"issue":[69],"in":[70,123,171],"auto-encoder":[71],"based":[72],"methods.":[73],"then":[75],"introduce":[76],"feature":[78,85],"editing":[79],"strategy":[80],"modifies":[82],"input":[84],"space":[86],"further":[92],"alleviate":[93],"shortcuts''":[95],"meanwhile":[97],"improve":[98],"quality":[101],"regions,":[104],"leading":[105],"fewer":[107],"false":[108],"positive":[109],"predictions.":[110],"Moreover,":[111],"we":[112],"who":[116],"pose":[117],"hyperparameter":[121],"selection":[122],"detection,":[126],"propose":[128],"solution":[130],"synthesizing":[132],"pseudo":[137,181],"validation":[138,182],"set":[139,183],"address":[141],"problem.":[143],"Extensive":[144],"experiments":[145],"on":[146],"benchmark":[147],"datasets":[148],"MVTec-AD":[149],"MPDD":[151],"show":[152],"proposed":[155],"LafitE,":[156],"\\ie,":[157],"Latent":[158],"Diffusion":[159],"Model":[160],"Feature":[162],"Editing,":[163],"outperforms":[164],"state-of-art":[165],"methods":[166],"by":[167],"significant":[169],"margin":[170],"terms":[172],"average":[174],"AUROC.":[175],"The":[176],"hyperparamters":[177],"selected":[178],"via":[179],"our":[180],"well-matched":[185],"real":[188],"test":[189],"set.":[190]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4384644334","counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-01-04T16:00:11.365696","created_date":"2023-07-19"}