{"id":"https://openalex.org/W7133331965","doi":"https://doi.org/10.2478/jaiscr-2026-0014","title":"Inverse Meets Distillation: Heterogeneous Teacher\u2013Assistant Dual-Path Learning for Unsupervised Defect Detection","display_name":"Inverse Meets Distillation: Heterogeneous Teacher\u2013Assistant Dual-Path Learning for Unsupervised Defect Detection","publication_year":2026,"publication_date":"2026-02-25","ids":{"openalex":"https://openalex.org/W7133331965","doi":"https://doi.org/10.2478/jaiscr-2026-0014"},"language":"en","primary_location":{"id":"doi:10.2478/jaiscr-2026-0014","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2026-0014","pdf_url":"https://reference-global.com/download/article/10.2478/jaiscr-2026-0014.pdf","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://reference-global.com/download/article/10.2478/jaiscr-2026-0014.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127912655","display_name":"Xin Zhan","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhan","raw_affiliation_strings":["Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University , Qinhuangdao 066004, Hebei, China ; Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University , Qinhuangdao 066004 , Hebei , China"],"raw_orcid":"https://orcid.org/0009-0001-4909-5720","affiliations":[{"raw_affiliation_string":"Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University , Qinhuangdao 066004, Hebei, China ; Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University , Qinhuangdao 066004 , Hebei , China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yaqian Li","orcid":"https://orcid.org/0000-0003-1032-9910"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqian Li","raw_affiliation_strings":["Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University , Qinhuangdao 066004, Hebei, China ; Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University , Qinhuangdao 066004 , Hebei , China"],"raw_orcid":"https://orcid.org/0000-0003-1032-9910","affiliations":[{"raw_affiliation_string":"Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University , Qinhuangdao 066004, Hebei, China ; Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University , Qinhuangdao 066004 , Hebei , China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ruihao Chen","orcid":"https://orcid.org/0009-0004-4838-9710"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruihao Chen","raw_affiliation_strings":["Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University , Qinhuangdao 066004, Hebei, China ; Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University , Qinhuangdao 066004 , Hebei , China"],"raw_orcid":"https://orcid.org/0009-0004-4838-9710","affiliations":[{"raw_affiliation_string":"Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University , Qinhuangdao 066004, Hebei, China ; Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University , Qinhuangdao 066004 , Hebei , China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121240734","display_name":"Wenming Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Zhang","raw_affiliation_strings":["Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University , Qinhuangdao 066004, Hebei, China ; Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University , Qinhuangdao 066004 , Hebei , China"],"raw_orcid":"https://orcid.org/0000-0003-3802-3534","affiliations":[{"raw_affiliation_string":"Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University , Qinhuangdao 066004, Hebei, China ; Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University , Qinhuangdao 066004 , Hebei , China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128009567","display_name":"Haibin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Li","raw_affiliation_strings":["Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University , Qinhuangdao 066004, Hebei, China ; Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University , Qinhuangdao 066004 , Hebei , China"],"raw_orcid":"https://orcid.org/0000-0002-0310-2892","affiliations":[{"raw_affiliation_string":"Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University , Qinhuangdao 066004, Hebei, China ; Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University , Qinhuangdao 066004 , Hebei , China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23783292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"3","first_page":"275","last_page":"291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.6140999794006348,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.6140999794006348,"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"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.08449999988079071,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.06870000064373016,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6499000191688538},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6389999985694885},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5601999759674072},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5073999762535095},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.49540001153945923},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4828999936580658},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4521999955177307},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4140999913215637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6966000199317932},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6499000191688538},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6389999985694885},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5601999759674072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5468000173568726},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5073999762535095},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.49540001153945923},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4521999955177307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42669999599456787},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4140999913215637},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.3865000009536743},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3801000118255615},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.36809998750686646},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.36039999127388},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.35440000891685486},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26019999384880066},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2517000138759613},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2478/jaiscr-2026-0014","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2026-0014","pdf_url":"https://reference-global.com/download/article/10.2478/jaiscr-2026-0014.pdf","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2478/jaiscr-2026-0014","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2026-0014","pdf_url":"https://reference-global.com/download/article/10.2478/jaiscr-2026-0014.pdf","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7133331965.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1970088130","https://openalex.org/W2108598243","https://openalex.org/W2132870739","https://openalex.org/W2344428106","https://openalex.org/W2599354622","https://openalex.org/W2743289088","https://openalex.org/W2747909401","https://openalex.org/W2783748519","https://openalex.org/W2784228426","https://openalex.org/W2925312408","https://openalex.org/W2937408455","https://openalex.org/W2948982773","https://openalex.org/W2963733773","https://openalex.org/W2987228832","https://openalex.org/W2987821246","https://openalex.org/W3034314048","https://openalex.org/W3045672834","https://openalex.org/W3110846353","https://openalex.org/W3112098503","https://openalex.org/W3118895125","https://openalex.org/W3169077988","https://openalex.org/W3209793239","https://openalex.org/W4220772424","https://openalex.org/W4308119982","https://openalex.org/W4310614798","https://openalex.org/W4312274522","https://openalex.org/W4312364701","https://openalex.org/W4312605624","https://openalex.org/W4312835785","https://openalex.org/W4317603914","https://openalex.org/W4319299981","https://openalex.org/W4327741240","https://openalex.org/W4360604065","https://openalex.org/W4366834293","https://openalex.org/W4386065608","https://openalex.org/W4386159374","https://openalex.org/W4386159907","https://openalex.org/W4386760147","https://openalex.org/W4386891350","https://openalex.org/W4387717445","https://openalex.org/W4390191112","https://openalex.org/W4392474062","https://openalex.org/W4394620074","https://openalex.org/W4394625793","https://openalex.org/W4400409509","https://openalex.org/W4405151229"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Unsupervised":[1],"defect":[2],"detection":[3,149],"is":[4,54],"crucial":[5],"for":[6],"industrial":[7],"inspection,":[8],"but":[9],"teacher\u2013student":[10],"(T\u2013S)":[11],"frameworks":[12],"tend":[13],"to":[14,22,56,84,132],"overfit":[15],"a":[16,31,42,81,118],"single":[17],"teacher\u2019s":[18],"feature":[19],"manifold,":[20],"leading":[21],"poor":[23],"generalization":[24],"on":[25],"subtle":[26],"anomalies.":[27],"We":[28],"introduce":[29],"TAD++,":[30],"dual-path":[32,162],"distillation":[33],"framework":[34],"that":[35,113],"combines":[36],"heterogeneous":[37,96,161],"Teacher\u2013Assistant\u2013Student":[38],"(T\u2013A\u2013S)":[39],"guidance":[40,97],"with":[41,72,153],"pseudo-defect":[43],"inverse-distillation":[44,67],"branch.":[45],"A":[46,88],"compact":[47],"assistant,":[48,101],"structurally":[49],"distinct":[50],"from":[51,76,117],"the":[52,58,66,70,100,157,160],"teacher,":[53],"trained":[55],"co-distill":[57],"student,":[59],"thereby":[60],"mitigating":[61],"single-teacher":[62],"bias.":[63],"In":[64],"parallel,":[65],"path":[68],"tasks":[69],"student":[71],"reconstructing":[73],"normal":[74],"appearances":[75],"defect-injected":[77],"inputs,":[78],"serving":[79],"as":[80],"regularization":[82],"term":[83],"prevent":[85],"anomaly":[86],"leakage.":[87],"dynamic":[89],"attention":[90],"weighting":[91],"module":[92],"adaptively":[93],"fuses":[94],"these":[95],"signals.":[98],"Crucially,":[99],"inverse":[102],"branch,":[103],"and":[104,128,140,150],"weight":[105],"modules":[106],"are":[107],"strictly":[108],"training-only.":[109],"This":[110],"design":[111],"ensures":[112],"while":[114],"TAD++":[115,142],"benefits":[116],"rigorous":[119],"multi-phase":[120],"optimization,":[121],"it":[122],"maintains":[123],"zero":[124],"additional":[125],"inference":[126],"latency":[127],"memory":[129],"overhead":[130],"compared":[131],"standard":[133],"T\u2013S":[134],"baselines.":[135],"On":[136],"MVTec":[137],"AD,":[138],"BTAD,":[139],"VisA,":[141],"achieves":[143],"consistent":[144],"improvements":[145],"in":[146],"both":[147],"image-level":[148],"pixel-level":[151],"localization,":[152],"extensive":[154],"ablations":[155],"confirming":[156],"efficacy":[158],"of":[159],"design.":[163]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-03-04T00:00:00"}
