{"id":"https://openalex.org/W4390501299","doi":"https://doi.org/10.3390/s24010264","title":"Industrial Product Surface Anomaly Detection with Realistic Synthetic Anomalies Based on Defect Map Prediction","display_name":"Industrial Product Surface Anomaly Detection with Realistic Synthetic Anomalies Based on Defect Map Prediction","publication_year":2024,"publication_date":"2024-01-02","ids":{"openalex":"https://openalex.org/W4390501299","doi":"https://doi.org/10.3390/s24010264","pmid":"https://pubmed.ncbi.nlm.nih.gov/38203128"},"language":"en","primary_location":{"id":"doi:10.3390/s24010264","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24010264","pdf_url":"https://www.mdpi.com/1424-8220/24/1/264/pdf?version=1704188742","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/1/264/pdf?version=1704188742","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054249230","display_name":"Tao Peng","orcid":"https://orcid.org/0000-0002-9425-2262"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Peng","raw_affiliation_strings":["School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi\u2019an 710026, China","School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710026, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi\u2019an 710026, China","institution_ids":["https://openalex.org/I51622183"]},{"raw_affiliation_string":"School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710026, China","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107092573","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0003-0757-4210"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, Xi\u2019an 710126, China","School of Cyber Engineering, Xidian University, Xi'an 710126, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi\u2019an 710126, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi'an 710126, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015503095","display_name":"Lin Zhao","orcid":"https://orcid.org/0009-0005-9601-5673"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhao","raw_affiliation_strings":["School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi\u2019an 710026, China","School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710026, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi\u2019an 710026, China","institution_ids":["https://openalex.org/I51622183"]},{"raw_affiliation_string":"School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710026, China","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"last","author":{"id":null,"display_name":"Enrang Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Enrang Zheng","raw_affiliation_strings":["School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi\u2019an 710026, China","School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710026, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi\u2019an 710026, China","institution_ids":["https://openalex.org/I51622183"]},{"raw_affiliation_string":"School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710026, China","institution_ids":["https://openalex.org/I51622183"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51622183"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":3.1646,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.92041283,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"24","issue":"1","first_page":"264","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6972498893737793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6323444843292236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5685180425643921},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5601723194122314},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5020632743835449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4348863959312439},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.43003982305526733},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4267190992832184},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.41298162937164307},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3453275263309479}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6972498893737793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6323444843292236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5685180425643921},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5601723194122314},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5020632743835449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4348863959312439},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.43003982305526733},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4267190992832184},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.41298162937164307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3453275263309479},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s24010264","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24010264","pdf_url":"https://www.mdpi.com/1424-8220/24/1/264/pdf?version=1704188742","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38203128","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38203128","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10781225","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10781225","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10781225/pdf/sensors-24-00264.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:36dbf7e291bf4fb28536c56f543df0b9","is_oa":true,"landing_page_url":"https://doaj.org/article/36dbf7e291bf4fb28536c56f543df0b9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 1, p 264 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/24/1/264/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s24010264","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s24010264","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24010264","pdf_url":"https://www.mdpi.com/1424-8220/24/1/264/pdf?version=1704188742","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390501299.pdf"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W2047643928","https://openalex.org/W2108598243","https://openalex.org/W2133665775","https://openalex.org/W2507296351","https://openalex.org/W2599354622","https://openalex.org/W2920946673","https://openalex.org/W2948982773","https://openalex.org/W2963045681","https://openalex.org/W2963351448","https://openalex.org/W3034314048","https://openalex.org/W3092704883","https://openalex.org/W3096831136","https://openalex.org/W3147184966","https://openalex.org/W3166166117","https://openalex.org/W3169651898","https://openalex.org/W3183588514","https://openalex.org/W3204520143","https://openalex.org/W3209973645","https://openalex.org/W4213315944","https://openalex.org/W4214694907","https://openalex.org/W4214699222","https://openalex.org/W4226334005","https://openalex.org/W4283119693","https://openalex.org/W4287887190","https://openalex.org/W4293875029","https://openalex.org/W4294651314","https://openalex.org/W4308235797","https://openalex.org/W4312570668","https://openalex.org/W4312772600","https://openalex.org/W6803220368"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3017266184","https://openalex.org/W2918377632","https://openalex.org/W3202913553","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829","https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774"],"abstract_inverted_index":{"The":[0,42],"occurrence":[1],"of":[2,7,29,40,53,59,108,118,122,200,208,222],"anomalies":[3,147],"on":[4,153,185],"the":[5,36,57,98,106,112,116,125,186,220],"surface":[6,50,70,88,223],"industrial":[8,54,227],"products":[9,55],"can":[10],"lead":[11],"to":[12,49,80,85],"issues":[13],"such":[14],"as":[15,170,172],"decreased":[16],"product":[17],"quality,":[18],"reduced":[19],"production":[20],"efficiency,":[21],"and":[22,27,38,158,192,202],"safety":[23],"hazards.":[24],"Early":[25],"detection":[26,52,72,83,136,190,216,225],"resolution":[28],"these":[30,140],"problems":[31],"are":[32,97],"crucial":[33],"for":[34,69,148],"ensuring":[35],"quality":[37],"efficiency":[39],"production.":[41],"key":[43],"challenge":[44],"in":[45,111,226],"applying":[46],"deep":[47,166],"learning":[48,66],"defect":[51,60,71,89,109,135,174,215,224],"is":[56,76],"scarcity":[58],"samples,":[61],"which":[62],"will":[63],"make":[64],"supervised":[65],"methods":[67,84,96],"unsuitable":[68],"problems.":[73],"Therefore,":[74],"it":[75],"a":[77,119,133,173,178],"reasonable":[78],"solution":[79],"use":[81],"anomaly":[82,93,189],"deal":[86],"with":[87,165,177],"detection.":[90],"Among":[91],"image-based":[92],"detection,":[94],"reconstruction-based":[95,103,134],"most":[99],"commonly":[100],"used.":[101],"However,":[102],"approaches":[104],"lack":[105],"involvement":[107],"samples":[110],"training":[113],"process,":[114],"posing":[115],"risk":[117],"perfect":[120],"reconstruction":[121,126,163],"defects":[123,157],"by":[124,142],"network.":[127],"In":[128],"this":[129],"paper,":[130],"we":[131],"propose":[132],"algorithm":[137],"that":[138],"addresses":[139],"challenges":[141],"utilizing":[143],"more":[144],"realistic":[145],"synthetic":[146,156],"training.":[149],"Our":[150,210],"model":[151,195],"focuses":[152],"creating":[154],"authentic":[155],"introduces":[159],"an":[160,197,203],"auto-encoder":[161],"image":[162],"network":[164,176],"feature":[167],"consistency":[168],"constraints,":[169],"well":[171],"separation":[175],"large":[179],"receptive":[180],"field.":[181],"We":[182],"conducted":[183],"experiments":[184],"challenging":[187],"MVTec":[188],"dataset":[191],"our":[193],"trained":[194],"achieved":[196],"AUROC":[198],"score":[199,207],"99.70%":[201],"average":[204],"precision":[205],"(AP)":[206],"99.87%.":[209],"method":[211],"surpasses":[212],"recently":[213],"proposed":[214],"algorithms,":[217],"thereby":[218],"enhancing":[219],"accuracy":[221],"products.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}