{"id":"https://openalex.org/W4386067018","doi":"https://doi.org/10.23919/mva57639.2023.10215808","title":"Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display Images","display_name":"Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display Images","publication_year":2023,"publication_date":"2023-07-23","ids":{"openalex":"https://openalex.org/W4386067018","doi":"https://doi.org/10.23919/mva57639.2023.10215808"},"language":"en","primary_location":{"id":"doi:10.23919/mva57639.2023.10215808","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva57639.2023.10215808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 18th International Conference on Machine Vision and Applications (MVA)","raw_type":"proceedings-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/A5100413495","display_name":"Ji\u2013Hyun Lee","orcid":"https://orcid.org/0000-0001-9560-4285"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Jihyun Lee","raw_affiliation_strings":["KAIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044143443","display_name":"Hangil Park","orcid":"https://orcid.org/0000-0002-7127-1014"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Hangil Park","raw_affiliation_strings":["KAIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102547710","display_name":"Yongmin Seo","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yongmin Seo","raw_affiliation_strings":["Hanyang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045281789","display_name":"Taewon Min","orcid":"https://orcid.org/0000-0002-0381-2296"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Taewon Min","raw_affiliation_strings":["KAIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102547711","display_name":"Joodong Yun","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joodong Yun","raw_affiliation_strings":["Samsung Display"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Display","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413728","display_name":"Jaewon Kim","orcid":"https://orcid.org/0000-0001-7519-3028"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaewon Kim","raw_affiliation_strings":["Samsung Display"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Display","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100653784","display_name":"Tae\u2010Kyun Kim","orcid":"https://orcid.org/0000-0002-7587-6053"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Tae-Kyun Kim","raw_affiliation_strings":["KAIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55380249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.8025939464569092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7559365630149841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7021209001541138},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6938275694847107},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5839192867279053},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5521440505981445},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5041221380233765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5026538372039795},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.47559937834739685},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45814603567123413},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4566754996776581},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.45589450001716614},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4412876069545746},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.43270424008369446}],"concepts":[{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.8025939464569092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559365630149841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7021209001541138},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6938275694847107},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5839192867279053},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5521440505981445},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5041221380233765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5026538372039795},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.47559937834739685},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45814603567123413},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4566754996776581},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.45589450001716614},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4412876069545746},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.43270424008369446},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mva57639.2023.10215808","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva57639.2023.10215808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 18th International Conference on Machine Vision and Applications (MVA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2096733369","https://openalex.org/W2108598243","https://openalex.org/W2948982773","https://openalex.org/W3013379031","https://openalex.org/W3040536599","https://openalex.org/W3043138801","https://openalex.org/W3097652626","https://openalex.org/W3101158182","https://openalex.org/W3120702710","https://openalex.org/W3144619878","https://openalex.org/W3169077988","https://openalex.org/W3169651898","https://openalex.org/W3175716777","https://openalex.org/W3195320361","https://openalex.org/W3209793239","https://openalex.org/W3212044949","https://openalex.org/W4214756262","https://openalex.org/W4287887190","https://openalex.org/W4292793943","https://openalex.org/W4310390281","https://openalex.org/W4310498073","https://openalex.org/W4312289809","https://openalex.org/W4312772600","https://openalex.org/W4319299981","https://openalex.org/W4320476215","https://openalex.org/W4385195017","https://openalex.org/W6631190155","https://openalex.org/W6775204614","https://openalex.org/W6780405429","https://openalex.org/W6780874654","https://openalex.org/W6784838523","https://openalex.org/W6796246272","https://openalex.org/W6811067225","https://openalex.org/W6846840994"],"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":{"In":[0,53],"this":[1],"paper,":[2],"we":[3,41,80,114],"tackle":[4],"automatic":[5],"anomaly":[6,51],"detection":[7],"in":[8,26,140],"multi-illumination":[9],"and":[10,29,74,110,121,143,150],"multi-focus":[11],"display":[12,19,152],"images.":[13],"The":[14],"minute":[15],"defects":[16],"on":[17,78,146],"the":[18,72,105,108,116,126,147],"surface":[20],"are":[21],"hard":[22],"to":[23,125],"spot":[24],"out":[25],"RGB":[27],"images":[28],"by":[30,67,103],"a":[31,43,63,82],"model":[32],"trained":[33],"with":[34,98],"only":[35],"normal":[36],"data.":[37],"To":[38],"address":[39],"this,":[40],"propose":[42,81,115],"novel":[44,83],"contrastive":[45,84],"learning":[46,85],"scheme":[47],"for":[48,155],"knowledge":[49],"distillation-based":[50],"detection.":[52],"our":[54],"framework,":[55],"Multiresolution":[56,88],"Knowledge":[57],"Distillation":[58,90],"(MKD)":[59],"is":[60],"adopted":[61],"as":[62],"baseline,":[64],"which":[65,92],"operates":[66,102],"measuring":[68],"feature":[69],"similarities":[70],"between":[71,107],"teacher":[73,109],"student":[75,111],"networks.":[76],"Based":[77],"MKD,":[79],"method,":[86],"namely":[87],"Contrastive":[89],"(MCD),":[91],"does":[93],"not":[94],"require":[95],"positive/negative":[96],"pairs":[97],"an":[99],"anchor":[100],"but":[101],"pulling/pushing":[104],"distance":[106],"features.":[112],"Furthermore,":[113],"blending":[117],"module":[118],"that":[119],"transforms":[120],"aggregate":[122],"multi-channel":[123],"information":[124],"three-channel":[127],"input":[128],"layer":[129],"of":[130],"MCD.":[131],"Our":[132],"proposed":[133],"method":[134],"significantly":[135],"outperforms":[136],"competitive":[137],"state-of-the-art":[138],"methods":[139],"both":[141],"AUROC":[142],"accuracy":[144],"metrics":[145],"collected":[148],"Multi-illumination":[149],"Multi-focus":[151],"image":[153],"dataset":[154],"Anomaly":[156],"Detection":[157],"(MMdAD).":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
