{"id":"https://openalex.org/W3195320361","doi":"https://doi.org/10.1109/icip42928.2021.9506079","title":"Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework","display_name":"Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3195320361","doi":"https://doi.org/10.1109/icip42928.2021.9506079","mag":"3195320361"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100357221","display_name":"Fei Ye","orcid":"https://orcid.org/0000-0002-5894-2178"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Ye","raw_affiliation_strings":["Shanghai Jiao Tong University,Cooperative Medianet Innovation Center,Shanghai,China","Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Cooperative Medianet Innovation Center,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210099312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077499817","display_name":"Huangjie Zheng","orcid":"https://orcid.org/0000-0003-0508-5034"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huangjie Zheng","raw_affiliation_strings":["University of Texas at Austin,Austin,TX,USA","University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084256465","display_name":"Chaoqin Huang","orcid":"https://orcid.org/0000-0001-6314-4472"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoqin Huang","raw_affiliation_strings":["Shanghai Jiao Tong University,Cooperative Medianet Innovation Center,Shanghai,China","Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Cooperative Medianet Innovation Center,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210099312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100342828","display_name":"Ya Zhang","orcid":"https://orcid.org/0000-0002-5390-9053"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University,Cooperative Medianet Innovation Center,Shanghai,China","Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Cooperative Medianet Innovation Center,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210099312"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6118,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8667266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1609","last_page":"1613"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9840999841690063,"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":0.7328794002532959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6415173411369324},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6281857490539551},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6129098534584045},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5887524485588074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5623654723167419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5532999634742737},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5104321837425232},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.504747748374939},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4879243075847626},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.46162277460098267},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3869709074497223},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23718541860580444},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08451434969902039}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7328794002532959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6415173411369324},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6281857490539551},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6129098534584045},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5887524485588074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5623654723167419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5532999634742737},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5104321837425232},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.504747748374939},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4879243075847626},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.46162277460098267},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3869709074497223},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23718541860580444},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08451434969902039},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1970088130","https://openalex.org/W2117539524","https://openalex.org/W2122646361","https://openalex.org/W2127979711","https://openalex.org/W2132870739","https://openalex.org/W2152790380","https://openalex.org/W2599354622","https://openalex.org/W2750384547","https://openalex.org/W2786599352","https://openalex.org/W2803674491","https://openalex.org/W2803697594","https://openalex.org/W2842511635","https://openalex.org/W2887997457","https://openalex.org/W2948012107","https://openalex.org/W2963045681","https://openalex.org/W2963049059","https://openalex.org/W2963061824","https://openalex.org/W2963848714","https://openalex.org/W2971015439","https://openalex.org/W3005680577","https://openalex.org/W3035524453","https://openalex.org/W3091561623","https://openalex.org/W3106257921","https://openalex.org/W3114010851","https://openalex.org/W3118608800","https://openalex.org/W4288335160","https://openalex.org/W4297808394","https://openalex.org/W6682948231","https://openalex.org/W6735108248","https://openalex.org/W6743688258","https://openalex.org/W6748172867","https://openalex.org/W6751494907","https://openalex.org/W6751866786","https://openalex.org/W6751917112","https://openalex.org/W6763324549","https://openalex.org/W6763416564","https://openalex.org/W6767475296","https://openalex.org/W6774314701","https://openalex.org/W6785978903","https://openalex.org/W6787723838","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W4225940264"],"abstract_inverted_index":{"Surrogate":[0],"task":[1],"based":[2],"methods":[3],"have":[4,114],"recently":[5],"shown":[6,115],"great":[7],"promise":[8],"for":[9,41,102],"unsupervised":[10,76,103],"image":[11,104],"anomaly":[12,29,42,105],"detection.":[13,30,106],"However,":[14],"there":[15],"is":[16],"no":[17],"guarantee":[18],"that":[19,116],"the":[20,24,49,59,75,87,117],"surrogate":[21],"tasks":[22],"share":[23],"consistent":[25],"optimization":[26],"direction":[27],"with":[28,44],"In":[31],"this":[32,69],"paper,":[33],"we":[34,78],"return":[35],"to":[36,80,96],"a":[37,97],"direct":[38],"objective":[39,70],"function":[40,71],"detection":[43],"information":[45,91,99],"theory,":[46],"which":[47,85,94],"maximizes":[48],"distance":[50],"between":[51,89],"normal":[52],"and":[53,64,92],"anomalous":[54],"data":[55,112],"in":[56],"terms":[57],"of":[58,62],"joint":[60],"distribution":[61],"images":[63],"their":[65],"representation.":[66],"To":[67],"make":[68],"directly":[72],"optimizable":[73],"under":[74],"setting,":[77],"manage":[79],"find":[81],"its":[82],"lower":[83],"bound":[84],"weights":[86],"trade-off":[88],"mutual":[90],"entropy,":[93],"leads":[95],"novel":[98],"theoretic":[100],"framework":[101,119],"Extensive":[107],"experiments":[108],"on":[109],"several":[110,122],"benchmark":[111],"sets":[113],"proposed":[118],"significantly":[120],"outperforms":[121],"state-of-the-arts.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}