{"id":"https://openalex.org/W4319082292","doi":"https://doi.org/10.1142/s0218001423510072","title":"Self-Supervised Texture Image Anomaly Detection by Fusing Normalizing Flow and Dictionary Learning","display_name":"Self-Supervised Texture Image Anomaly Detection by Fusing Normalizing Flow and Dictionary Learning","publication_year":2023,"publication_date":"2023-02-03","ids":{"openalex":"https://openalex.org/W4319082292","doi":"https://doi.org/10.1142/s0218001423510072"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001423510072","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s0218001423510072","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1142/s0218001423510072","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090937718","display_name":"Yaohua Guo","orcid":"https://orcid.org/0000-0002-1449-8191"},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaohua Guo","raw_affiliation_strings":["School of Information Engineering, Ningxia University, Yinchuan 750021, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Ningxia University, Yinchuan 750021, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I21642278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043525038","display_name":"Lijuan Song","orcid":"https://orcid.org/0000-0002-9556-4639"},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijuan Song","raw_affiliation_strings":["Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence, Co-founded by Ningxia Municipality and Ministry of Education Ningxia University, Yinchuan 750021, P.\u00a0R.\u00a0China","School of Information Engineering, Ningxia University, Yinchuan 750021, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence, Co-founded by Ningxia Municipality and Ministry of Education Ningxia University, Yinchuan 750021, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I21642278"]},{"raw_affiliation_string":"School of Information Engineering, Ningxia University, Yinchuan 750021, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I21642278"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101901155","display_name":"Zirui Ma","orcid":"https://orcid.org/0000-0003-3769-1493"},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zirui Ma","raw_affiliation_strings":["Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence, Co-founded by Ningxia Municipality and Ministry of Education Ningxia University, Yinchuan 750021, P.\u00a0R.\u00a0China","School of Information Engineering, Ningxia University, Yinchuan 750021, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence, Co-founded by Ningxia Municipality and Ministry of Education Ningxia University, Yinchuan 750021, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I21642278"]},{"raw_affiliation_string":"School of Information Engineering, Ningxia University, Yinchuan 750021, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I21642278"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043525038"],"corresponding_institution_ids":["https://openalex.org/I21642278"],"apc_list":null,"apc_paid":null,"fwci":0.3491,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62076573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"37","issue":"04","first_page":null,"last_page":null},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.992900013923645,"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":0.7911700010299683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7723100185394287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6290654540061951},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5942962765693665},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5367717742919922},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5164823532104492},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5139922499656677},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3432258367538452},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33053094148635864}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7911700010299683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7723100185394287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6290654540061951},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5942962765693665},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5367717742919922},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5164823532104492},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5139922499656677},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3432258367538452},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33053094148635864},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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":1,"locations":[{"id":"doi:10.1142/s0218001423510072","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s0218001423510072","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1142/s0218001423510072","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s0218001423510072","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4528918456","display_name":null,"funder_award_id":"2021BEE03013","funder_id":"https://openalex.org/F4320334010","funder_display_name":"Key Research and Development Program of Ningxia"},{"id":"https://openalex.org/G6699013166","display_name":null,"funder_award_id":"2019BEB04023","funder_id":"https://openalex.org/F4320334010","funder_display_name":"Key Research and Development Program of Ningxia"}],"funders":[{"id":"https://openalex.org/F4320334010","display_name":"Key Research and Development Program of Ningxia","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1963932623","https://openalex.org/W2019278291","https://openalex.org/W2021659075","https://openalex.org/W2025946330","https://openalex.org/W2118978333","https://openalex.org/W2160547390","https://openalex.org/W2194775991","https://openalex.org/W2317515691","https://openalex.org/W2408246687","https://openalex.org/W2490420619","https://openalex.org/W2560070550","https://openalex.org/W2593914038","https://openalex.org/W2746791238","https://openalex.org/W2784032999","https://openalex.org/W2807998075","https://openalex.org/W2914570111","https://openalex.org/W2952627766","https://openalex.org/W2963045681","https://openalex.org/W2979750067","https://openalex.org/W2988589399","https://openalex.org/W3022935508","https://openalex.org/W3039503982","https://openalex.org/W3106848223","https://openalex.org/W3118895125","https://openalex.org/W3118913631"],"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":{"A":[0],"common":[1],"study":[2],"area":[3],"in":[4,66,84],"anomaly":[5,10,44,60],"identification":[6],"is":[7,64,68],"industrial":[8],"images":[9,20],"detection":[11,45,61,101,120,136],"based":[12,53],"on":[13,54,103],"texture":[14,19,25,107],"background.":[15],"The":[16,58,117,130],"interference":[17],"of":[18,24],"and":[21,50,87,91],"the":[22,28,55,123,135],"minuteness":[23],"anomalies":[26],"are":[27],"main":[29],"reasons":[30],"why":[31],"many":[32],"existing":[33],"models":[34],"fail":[35],"to":[36,75,138],"detect":[37],"anomalies.":[38],"We":[39],"propose":[40],"a":[41],"strategy":[42],"for":[43,122],"that":[46,63],"combines":[47,88],"dictionary":[48,92],"learning":[49,86,90],"normalizing":[51,82],"flow":[52,83],"aforementioned":[56],"questions.":[57],"two-stage":[59],"approach":[62],"already":[65],"use":[67],"enhanced":[69],"by":[70],"our":[71],"method.":[72],"In":[73],"order":[74],"improve":[76],"baseline":[77,118],"method,":[78],"this":[79],"research":[80],"adds":[81],"representation":[85],"deep":[89],"learning.":[93],"Improved":[94],"algorithms":[95],"have":[96],"exceeded":[97],"95[Formula:":[98],"see":[99,128,140],"text]":[100],"accuracy":[102,121,137],"all":[104],"MVTec":[105],"AD":[106],"type":[108],"data":[109,125],"after":[110],"experimental":[111],"validation.":[112],"It":[113],"shows":[114],"strong":[115],"robustness.":[116],"method\u2019s":[119],"Carpet":[124],"was":[126,132],"67.9[Formula:":[127],"text].":[129,141],"paper":[131],"upgraded,":[133],"raising":[134],"99.7[Formula:":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}