{"id":"https://openalex.org/W3215907972","doi":"https://doi.org/10.1109/tip.2022.3231532","title":"Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks","display_name":"Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W3215907972","doi":"https://doi.org/10.1109/tip.2022.3231532","mag":"3215907972","pmid":"https://pubmed.ncbi.nlm.nih.gov/37018555"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3231532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3231532","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2211.09041","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086724094","display_name":"Loic Jezequel","orcid":"https://orcid.org/0000-0002-4896-0081"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]},{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Loic Jezequel","raw_affiliation_strings":["ETIS UMR 8051 (CY Cergy Paris Universit&#x00E9;, ENSEA, CNRS), Paris, France"],"raw_orcid":"https://orcid.org/0000-0002-4896-0081","affiliations":[{"raw_affiliation_string":"ETIS UMR 8051 (CY Cergy Paris Universit&#x00E9;, ENSEA, CNRS), Paris, France","institution_ids":["https://openalex.org/I4210142324","https://openalex.org/I86175216","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044294351","display_name":"Ngoc\u2010Son Vu","orcid":"https://orcid.org/0000-0003-3498-3335"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]},{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ngoc-Son Vu","raw_affiliation_strings":["ETIS UMR 8051 (CY Cergy Paris Universit&#x00E9;, ENSEA, CNRS), Paris, France"],"raw_orcid":"https://orcid.org/0000-0003-3498-3335","affiliations":[{"raw_affiliation_string":"ETIS UMR 8051 (CY Cergy Paris Universit&#x00E9;, ENSEA, CNRS), Paris, France","institution_ids":["https://openalex.org/I4210142324","https://openalex.org/I86175216","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065249088","display_name":"Jean Beaudet","orcid":"https://orcid.org/0000-0002-7242-5986"},"institutions":[{"id":"https://openalex.org/I132349299","display_name":"IDEXX Laboratories (France)","ror":"https://ror.org/04w3zk015","country_code":"FR","type":"company","lineage":["https://openalex.org/I132349299","https://openalex.org/I4210134100"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean Beaudet","raw_affiliation_strings":["Idemia Identity and Security, Osny, France","Idemia (2 Place Samuel de Champlain 92400 Courbevoie - France)"],"raw_orcid":"https://orcid.org/0000-0002-7242-5986","affiliations":[{"raw_affiliation_string":"Idemia Identity and Security, Osny, France","institution_ids":["https://openalex.org/I132349299"]},{"raw_affiliation_string":"Idemia (2 Place Samuel de Champlain 92400 Courbevoie - France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010747345","display_name":"Aymeric Histace","orcid":"https://orcid.org/0000-0002-3029-4412"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]},{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aymeric Histace","raw_affiliation_strings":["ETIS UMR 8051 (CY Cergy Paris Universit&#x00E9;, ENSEA, CNRS), Paris, France"],"raw_orcid":"https://orcid.org/0000-0002-3029-4412","affiliations":[{"raw_affiliation_string":"ETIS UMR 8051 (CY Cergy Paris Universit&#x00E9;, ENSEA, CNRS), Paris, France","institution_ids":["https://openalex.org/I4210142324","https://openalex.org/I86175216","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086724094"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210142324","https://openalex.org/I86175216"],"apc_list":null,"apc_paid":null,"fwci":3.749,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.94382372,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"32","issue":null,"first_page":"807","last_page":"821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9883000254631042,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7725023031234741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7529914379119873},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7082251906394958},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6736025810241699},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6114605665206909},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.605269193649292},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4704384207725525},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42787593603134155},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4036577641963959}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7725023031234741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7529914379119873},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7082251906394958},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6736025810241699},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6114605665206909},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.605269193649292},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4704384207725525},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42787593603134155},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4036577641963959},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2022.3231532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3231532","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:37018555","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37018555","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2211.09041","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.09041","pdf_url":"https://arxiv.org/pdf/2211.09041","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:HAL:hal-03932357v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03932357","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 2023, pp.1-1. &#x27E8;10.1109/TIP.2022.3231532&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2211.09041","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.09041","pdf_url":"https://arxiv.org/pdf/2211.09041","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":114,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W343636949","https://openalex.org/W353413754","https://openalex.org/W1546503963","https://openalex.org/W1901129140","https://openalex.org/W1959608418","https://openalex.org/W1970088130","https://openalex.org/W1985690171","https://openalex.org/W2095705004","https://openalex.org/W2105497548","https://openalex.org/W2144796873","https://openalex.org/W2145962650","https://openalex.org/W2296719434","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2423557781","https://openalex.org/W2461158874","https://openalex.org/W2599354622","https://openalex.org/W2606538621","https://openalex.org/W2612135493","https://openalex.org/W2738729948","https://openalex.org/W2750384547","https://openalex.org/W2756489700","https://openalex.org/W2785325870","https://openalex.org/W2785509559","https://openalex.org/W2786599352","https://openalex.org/W2789159078","https://openalex.org/W2803697594","https://openalex.org/W2886509629","https://openalex.org/W2899242765","https://openalex.org/W2905867642","https://openalex.org/W2907590464","https://openalex.org/W2946566846","https://openalex.org/W2949848919","https://openalex.org/W2950178297","https://openalex.org/W2953292726","https://openalex.org/W2958360136","https://openalex.org/W2963045681","https://openalex.org/W2963049059","https://openalex.org/W2963263347","https://openalex.org/W2963420272","https://openalex.org/W2963636093","https://openalex.org/W2963693742","https://openalex.org/W2963773039","https://openalex.org/W2963795951","https://openalex.org/W2964137095","https://openalex.org/W2970206392","https://openalex.org/W2989929945","https://openalex.org/W2995458562","https://openalex.org/W3003416192","https://openalex.org/W3006520502","https://openalex.org/W3006797839","https://openalex.org/W3009726326","https://openalex.org/W3034838697","https://openalex.org/W3034978746","https://openalex.org/W3035060554","https://openalex.org/W3035424058","https://openalex.org/W3058842179","https://openalex.org/W3082337820","https://openalex.org/W3089028909","https://openalex.org/W3096655658","https://openalex.org/W3099271666","https://openalex.org/W3104110041","https://openalex.org/W3105282616","https://openalex.org/W3106257921","https://openalex.org/W3110039477","https://openalex.org/W3114010851","https://openalex.org/W3114632476","https://openalex.org/W3118608800","https://openalex.org/W3122238731","https://openalex.org/W3125314187","https://openalex.org/W3126686773","https://openalex.org/W3129166376","https://openalex.org/W3147179393","https://openalex.org/W3153639479","https://openalex.org/W3156880769","https://openalex.org/W3159581073","https://openalex.org/W3166166117","https://openalex.org/W3168175245","https://openalex.org/W3185486439","https://openalex.org/W3190752170","https://openalex.org/W3194129848","https://openalex.org/W3216191964","https://openalex.org/W4239569515","https://openalex.org/W4247232020","https://openalex.org/W4285719527","https://openalex.org/W4287683516","https://openalex.org/W4293321333","https://openalex.org/W4309041941","https://openalex.org/W4310390281","https://openalex.org/W6600609147","https://openalex.org/W6604254268","https://openalex.org/W6640963894","https://openalex.org/W6674330103","https://openalex.org/W6726497184","https://openalex.org/W6743688258","https://openalex.org/W6745891213","https://openalex.org/W6747899497","https://openalex.org/W6748366383","https://openalex.org/W6751494907","https://openalex.org/W6751866786","https://openalex.org/W6763324549","https://openalex.org/W6765696844","https://openalex.org/W6773131110","https://openalex.org/W6774611950","https://openalex.org/W6780874654","https://openalex.org/W6781988083","https://openalex.org/W6784838523","https://openalex.org/W6787972765","https://openalex.org/W6789731502","https://openalex.org/W6794767641","https://openalex.org/W6796246272","https://openalex.org/W6801966913","https://openalex.org/W6802941974"],"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/W3030345572"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,16,134],"is":[2,80],"important":[3],"in":[4,50],"many":[5],"real-life":[6],"applications.":[7],"Recently,":[8],"self-supervised":[9],"learning":[10],"has":[11],"greatly":[12],"helped":[13],"deep":[14],"anomaly":[15,33,167],"by":[17],"recognizing":[18],"several":[19],"geometric":[20],"transformations.":[21],"However":[22],"these":[23,45],"methods":[24],"lack":[25],"finer":[26],"features,":[27],"usually":[28],"highly":[29],"depend":[30],"on":[31,40,72,160,196,201],"the":[32,88,98,105,116,121],"type,":[34],"and":[35,55,58,92,136,199],"do":[36],"not":[37],"perform":[38],"well":[39],"fine-grained":[41,175],"problems.":[42,204],"To":[43],"address":[44],"issues,":[46],"we":[47,112,148,156],"first":[48],"introduce":[49],"this":[51],"work":[52],"three":[53],"novel":[54],"efficient":[56],"discriminative":[57],"generative":[59],"tasks":[60],"which":[61],"have":[62],"complementary":[63],"strength:":[64],"(i)":[65],"a":[66,76,93,131],"piece-wise":[67],"jigsaw":[68],"puzzle":[69],"task":[70,96,107],"focuses":[71],"structure":[73],"cues;":[74],"(ii)":[75],"tint":[77],"rotation":[78],"recognition":[79],"used":[81],"within":[82],"each":[83],"piece,":[84],"taking":[85],"into":[86],"account":[87],"colorimetry":[89],"information;":[90],"(iii)":[91],"partial":[94],"re-colorization":[95,106],"considers":[97],"image":[99,122],"texture.":[100],"In":[101],"order":[102],"to":[103,114,142,177,191],"make":[104],"more":[108],"object-oriented":[109],"than":[110],"background-oriented,":[111],"propose":[113],"include":[115],"contextual":[117],"color":[118],"information":[119],"of":[120,165],"border":[123],"via":[124],"an":[125,161],"attention":[126],"mechanism.":[127],"We":[128],"then":[129],"present":[130],"new":[132],"out-of-distribution":[133],"function":[135],"highlight":[137],"its":[138],"better":[139],"stability":[140],"compared":[141],"existing":[143],"methods.":[144],"Along":[145],"with":[146,174,180,189],"it,":[147],"also":[149],"experiment":[150],"different":[151],"score":[152],"fusion":[153],"functions.":[154],"Finally,":[155],"evaluate":[157],"our":[158],"method":[159],"extensive":[162],"protocol":[163],"composed":[164],"various":[166],"types,":[168],"from":[169],"object":[170,197],"anomalies,":[171],"style":[172],"anomalies":[173,179,198],"classification":[176],"local":[178],"face":[181,202],"anti-spoofing":[182,203],"datasets.":[183],"Our":[184],"model":[185],"significantly":[186],"outperforms":[187],"state-of-the-art":[188],"up":[190],"36%":[192],"relative":[193],"error":[194],"improvement":[195],"40%":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
