{"id":"https://openalex.org/W4289537725","doi":"https://doi.org/10.1109/tim.2022.3194920","title":"SMD Anomaly Detection: A Self-Supervised Texture\u2013Structure Anomaly Detection Framework","display_name":"SMD Anomaly Detection: A Self-Supervised Texture\u2013Structure Anomaly Detection Framework","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4289537725","doi":"https://doi.org/10.1109/tim.2022.3194920"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3194920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3194920","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-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/A5100645909","display_name":"Jiaxiang Luo","orcid":"https://orcid.org/0000-0001-8603-6132"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxiang Luo","raw_affiliation_strings":["School of Automation Science and Engineering and the Engineering Research Center of Ministry of Education for Precision Manufacturing Equipment, South China University of Technology, Guangzhou, China","School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8603-6132","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering and the Engineering Research Center of Ministry of Education for Precision Manufacturing Equipment, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Junbin Lin","orcid":"https://orcid.org/0000-0002-9333-5023"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbin Lin","raw_affiliation_strings":["School of Automation Science and Engineering and the Engineering Research Center of Ministry of Education for Precision Manufacturing Equipment, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9333-5023","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering and the Engineering Research Center of Ministry of Education for Precision Manufacturing Equipment, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101875177","display_name":"Zhiyu Yang","orcid":"https://orcid.org/0000-0002-4432-4547"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyu Yang","raw_affiliation_strings":["School of Automation Science and Engineering and the Engineering Research Center of Ministry of Education for Precision Manufacturing Equipment, South China University of Technology, Guangzhou, China","School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4432-4547","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering and the Engineering Research Center of Ministry of Education for Precision Manufacturing Equipment, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100735317","display_name":"Haiming Liu","orcid":"https://orcid.org/0000-0002-4630-411X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiming Liu","raw_affiliation_strings":["School of Automation Science and Engineering and the Engineering Research Center of Ministry of Education for Precision Manufacturing Equipment, South China University of Technology, Guangzhou, China","School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4630-411X","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering and the Engineering Research Center of Ministry of Education for Precision Manufacturing Equipment, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":3.674,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.93862011,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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":0.9993000030517578,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9211000204086304,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7806487679481506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7362624406814575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6624425649642944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6299837827682495},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5675115585327148},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5534650087356567},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5096085071563721},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5020906925201416},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4450657069683075},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4182067811489105},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4128877520561218},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2648038864135742},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24787825345993042},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15853416919708252},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07836481928825378}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7806487679481506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7362624406814575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6624425649642944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6299837827682495},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5675115585327148},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5534650087356567},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5096085071563721},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5020906925201416},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4450657069683075},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4182067811489105},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4128877520561218},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2648038864135742},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24787825345993042},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15853416919708252},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07836481928825378},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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":1,"locations":[{"id":"doi:10.1109/tim.2022.3194920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3194920","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1960871709","display_name":null,"funder_award_id":"2021A1515011851","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7270971709","display_name":null,"funder_award_id":"2020A1515011508","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2025768430","https://openalex.org/W2056624784","https://openalex.org/W2078718577","https://openalex.org/W2133665775","https://openalex.org/W2136655611","https://openalex.org/W2145625942","https://openalex.org/W2331128040","https://openalex.org/W2599354622","https://openalex.org/W2752782242","https://openalex.org/W2809705434","https://openalex.org/W2899280016","https://openalex.org/W2902758299","https://openalex.org/W2914570111","https://openalex.org/W2925312408","https://openalex.org/W2944303778","https://openalex.org/W2963049059","https://openalex.org/W2963061824","https://openalex.org/W2978971541","https://openalex.org/W2987228832","https://openalex.org/W3006797839","https://openalex.org/W3034314048","https://openalex.org/W3035240825","https://openalex.org/W3035487542","https://openalex.org/W3092704883","https://openalex.org/W3094374092","https://openalex.org/W3100815891","https://openalex.org/W3101017490","https://openalex.org/W3106848223","https://openalex.org/W3108975592","https://openalex.org/W3114010851","https://openalex.org/W3153872861","https://openalex.org/W3166166117","https://openalex.org/W3169077988","https://openalex.org/W3176378302","https://openalex.org/W3193992273","https://openalex.org/W3195969653","https://openalex.org/W3197644417","https://openalex.org/W3211391700","https://openalex.org/W3215273707","https://openalex.org/W3217610095","https://openalex.org/W4225524821","https://openalex.org/W4231294328","https://openalex.org/W4287683516","https://openalex.org/W6637373629","https://openalex.org/W6751494907","https://openalex.org/W6753123669","https://openalex.org/W6781988083"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3017266184","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829","https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259"],"abstract_inverted_index":{"In":[0],"electronic":[1],"manufacturing,":[2],"anomaly":[3,74,179,212],"detection":[4,28,50,75,180,213],"of":[5,22,26,37,112,124,202],"surface":[6],"mount":[7],"devices":[8],"(SMDs)":[9],"through":[10],"computer":[11],"vision":[12],"is":[13,29,84,115,142,162,183],"an":[14,177,198],"important":[15],"task":[16,111],"to":[17,48,95,117,144,153,164,185,208],"control":[18],"the":[19,27,35,58,91,97,105,119,122,125,151,166,169,187,194,209],"production":[20],"quality":[21],"SMDs.":[23],"The":[24,190],"difficulty":[25],"that":[30,60,193],"some":[31],"anomalous":[32,69,102,127,159],"regions":[33,128],"on":[34,57],"surfaces":[36],"SMDs":[38],"are":[39],"very":[40,172],"minor":[41,173],"and":[42,94,104,147],"with":[43,77,171],"variable":[44],"shapes,":[45],"which":[46],"leads":[47],"poor":[49],"efficiency.":[51],"To":[52],"solve":[53],"this":[54],"problem,":[55],"based":[56],"assumption":[59],"normal":[61],"samples":[62,103,170],"can":[63],"be":[64],"reconstructed":[65,106],"more":[66],"accurately":[67],"than":[68],"samples,":[70],"a":[71,78,108,131,137,157],"self-supervised":[72,109],"image":[73],"framework":[76],"multi-scale":[79,138],"two-branch":[80],"feature":[81,139],"fusion":[82,140],"strategy":[83,141],"proposed.":[85],"Specifically,":[86],"it":[87],"adopts":[88],"autoencoder":[89],"as":[90],"basic":[92],"framework,":[93],"enhance":[96],"reconstruction":[98],"error":[99],"between":[100],"input":[101],"ones,":[107],"learning":[110],"reconstructing":[113],"images":[114],"introduced":[116],"have":[118],"model":[120],"neglect":[121],"encoding":[123],"suspected":[126],"found":[129],"by":[130],"contextual":[132],"attention":[133],"mask":[134],"module.":[135],"Meanwhile,":[136],"developed":[143],"fuse":[145],"texture":[146],"structure":[148],"features":[149],"in":[150],"decoder":[152],"reconstruct":[154],"samples.":[155],"Moreover,":[156],"multi-level":[158],"score":[160],"criterion":[161],"proposed":[163,188,195],"enlarge":[165],"scores":[167],"for":[168],"anomalies.":[174],"At":[175],"last,":[176],"SMD-Capacitor":[178],"dataset":[181],"(SMDC-DET)":[182],"built":[184],"evaluate":[186],"method.":[189],"experiments":[191],"show":[192],"method":[196],"achieves":[197],"average":[199],"AUC":[200],"accuracy":[201],"98.82%,":[203],"much":[204],"better":[205],"when":[206],"compared":[207],"start-of-art":[210],"existing":[211],"methods.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":8}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
