{"id":"https://openalex.org/W4401414756","doi":"https://doi.org/10.1109/tim.2024.3440374","title":"Reverse Distillation for Continuous Anomaly Detection","display_name":"Reverse Distillation for Continuous Anomaly Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401414756","doi":"https://doi.org/10.1109/tim.2024.3440374"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3440374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3440374","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Instrumentation and Measurement","raw_type":"journal-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/A5106356537","display_name":"Aofei Yang","orcid":"https://orcid.org/0000-0003-1275-0805"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aofei Yang","raw_affiliation_strings":["College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088143484","display_name":"Xinying Xu","orcid":"https://orcid.org/0000-0001-5968-5989"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinying Xu","raw_affiliation_strings":["College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070688535","display_name":"Y. Victor Wu","orcid":"https://orcid.org/0000-0002-0492-4687"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yupei Wu","raw_affiliation_strings":["Aqrose Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Aqrose Technology, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041101317","display_name":"Huaping Liu","orcid":"https://orcid.org/0000-0002-4042-6044"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaping Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5106356537"],"corresponding_institution_ids":["https://openalex.org/I9086337"],"apc_list":null,"apc_paid":null,"fwci":2.1696,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89174381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.946399986743927,"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":0.946399986743927,"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/anomaly-detection","display_name":"Anomaly detection","score":0.6344506740570068},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5117645263671875},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4133707880973816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3284316658973694},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1863550841808319},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.16250759363174438},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14010009169578552},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.137428879737854}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6344506740570068},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5117645263671875},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4133707880973816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3284316658973694},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1863550841808319},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.16250759363174438},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14010009169578552},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.137428879737854},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3440374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3440374","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G541040518","display_name":null,"funder_award_id":"VRLAB2023A06","funder_id":"https://openalex.org/F4320326839","funder_display_name":"State Key Laboratory of Virtual Reality Technology and Systems"},{"id":"https://openalex.org/G8473533352","display_name":null,"funder_award_id":"202104041101030","funder_id":"https://openalex.org/F4320327913","funder_display_name":"ShanXi Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320326839","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":null},{"id":"https://openalex.org/F4320327913","display_name":"ShanXi Science and Technology Department","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1821462560","https://openalex.org/W2473930607","https://openalex.org/W2554616628","https://openalex.org/W2560647685","https://openalex.org/W2583761661","https://openalex.org/W2765811365","https://openalex.org/W2902625698","https://openalex.org/W2948982773","https://openalex.org/W2963072899","https://openalex.org/W2964189064","https://openalex.org/W3021561894","https://openalex.org/W3023868590","https://openalex.org/W3034314048","https://openalex.org/W3040536599","https://openalex.org/W3105515746","https://openalex.org/W3107810305","https://openalex.org/W3147184966","https://openalex.org/W3169651898","https://openalex.org/W3193992273","https://openalex.org/W3208797540","https://openalex.org/W4214694907","https://openalex.org/W4311415873","https://openalex.org/W4312108335","https://openalex.org/W4312772600","https://openalex.org/W4319988532","https://openalex.org/W4378365301","https://openalex.org/W4387623687","https://openalex.org/W6631190155","https://openalex.org/W6732467815","https://openalex.org/W6741087337","https://openalex.org/W6747837551","https://openalex.org/W6751494907","https://openalex.org/W6751907932","https://openalex.org/W6757384668","https://openalex.org/W6771795890","https://openalex.org/W6777869702","https://openalex.org/W6780405429","https://openalex.org/W6802573413","https://openalex.org/W6847191308","https://openalex.org/W6849896277"],"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":{"Unsupervised":[0],"anomaly":[1,75,183,200,238],"detection":[2,76,170,184,201,223,239],"and":[3,28,68,127,216],"localization":[4],"methods":[5,77,240],"only":[6],"use":[7,87],"anomaly-free":[8],"images":[9],"to":[10,20,29,73,98,108,195,231],"train":[11],"the":[12,15,23,31,44,50,79,88,95,105,120,124,128,132,135,140,143,146,151,154,212,217,222,226,232,242,254],"network.":[13],"Ultimately,":[14],"network":[16,97],"should":[17],"be":[18,193],"able":[19,107],"detect":[21,99],"whether":[22],"input":[24],"image":[25],"contains":[26],"anomalies":[27,100],"locate":[30],"anomalous":[32],"areas.":[33],"There":[34],"has":[35],"been":[36],"a":[37,111,164],"lot":[38],"of":[39,43,52,113,142,153,225],"related":[40],"research.":[41],"Most":[42],"existing":[45,233],"research":[46],"still":[47],"stays":[48],"in":[49,60,78,101,110,134,145,157,241],"stage":[51],"training":[53],"separate":[54],"models":[55],"for":[56,172,199],"each":[57],"category.":[58],"However,":[59],"industrial":[61],"applications,":[62],"such":[63],"task":[64,137],"setting":[65],"is":[66,72,229],"costly":[67],"time-consuming.":[69],"Our":[70],"work":[71],"study":[74],"continual":[80,173,205,243],"learning":[81,174,206,244],"setting.":[82,245],"In":[83],"this":[84],"work,":[85],"we":[86,115,161],"reverse":[89],"teacher-student":[90],"(T-S)":[91],"distillation":[92,118,237],"model":[93,106,126,133,144],"as":[94],"backbone":[96],"samples.":[102],"To":[103,149],"make":[104],"learn":[109],"sequence":[112],"tasks,":[114],"perform":[116,196],"pooling":[117],"on":[119,187,204,211,253],"feature":[121],"tensors":[122],"from":[123],"student":[125],"embedding":[129],"representations.":[130],"Then,":[131],"new":[136],"can":[138,192],"retain":[139],"knowledge":[141],"previous":[147],"tasks.":[148,175],"verify":[150],"performance":[152,224],"proposed":[155,227],"method":[156,228],"practical":[158],"application":[159],"scenarios,":[160],"also":[162],"introduce":[163],"printed":[165],"circuit":[166],"board":[167],"(PCB)":[168],"defect":[169],"dataset":[171,177,215,219],"This":[176],"divides":[178],"PCB":[179,218],"samples":[180],"into":[181],"multiple":[182],"tasks":[185],"based":[186,203],"different":[188],"capturing":[189],"locations,":[190],"which":[191],"used":[194],"validation":[197],"experiments":[198],"algorithms":[202],"methods.":[207],"The":[208,246],"experimental":[209],"results":[210],"MVTec":[213,255],"AD":[214,256],"show":[220],"that":[221],"superior":[230],"state-of-the-art":[234],"(SOTA)":[235],"T-S":[236],"average":[247],"pixel-level":[248],"AUROC":[249],"(P-AUROC)":[250],"reaches":[251],"0.847":[252],"dataset.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}