{"id":"https://openalex.org/W4408609950","doi":"https://doi.org/10.1109/tase.2025.3552986","title":"G-Anomaly: A Pyramid Graph Transformer-Based Vision-Language Model for General Industrial Anomaly Detection","display_name":"G-Anomaly: A Pyramid Graph Transformer-Based Vision-Language Model for General Industrial Anomaly Detection","publication_year":2025,"publication_date":"2025-03-19","ids":{"openalex":"https://openalex.org/W4408609950","doi":"https://doi.org/10.1109/tase.2025.3552986"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2025.3552986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3552986","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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":null,"display_name":"Jiaqi Li","orcid":"https://orcid.org/0009-0004-9013-2695"},"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":"Jiaqi Li","raw_affiliation_strings":["Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei, China","Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei Province, China"],"raw_orcid":"https://orcid.org/0009-0004-9013-2695","affiliations":[{"raw_affiliation_string":"Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei Province, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067200719","display_name":"Shuhuan Wen","orcid":"https://orcid.org/0000-0002-7646-4958"},"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":"Shuhuan Wen","raw_affiliation_strings":["Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei, China","Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei Province, China"],"raw_orcid":"https://orcid.org/0000-0002-7646-4958","affiliations":[{"raw_affiliation_string":"Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei Province, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029662229","display_name":"Bin Fang","orcid":"https://orcid.org/0000-0002-9149-7336"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Fang","raw_affiliation_strings":["Department of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","Department of Artificial intelligence, Beiing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9149-7336","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Department of Artificial intelligence, Beiing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.3114,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98242273,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"23","issue":null,"first_page":"3433","last_page":"3444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9861000180244446,"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":0.9861000180244446,"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":0.7386495471000671},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6181910634040833},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5595692992210388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48342907428741455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4556269645690918},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38970983028411865},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.324747771024704},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.14753997325897217},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08126595616340637}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7386495471000671},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6181910634040833},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5595692992210388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48342907428741455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4556269645690918},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38970983028411865},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.324747771024704},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.14753997325897217},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08126595616340637},{"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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2025.3552986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3552986","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G5191620234","display_name":null,"funder_award_id":"62273296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2948982773","https://openalex.org/W2962858109","https://openalex.org/W2978742590","https://openalex.org/W3004155203","https://openalex.org/W3037921770","https://openalex.org/W3084487255","https://openalex.org/W3116637551","https://openalex.org/W3147184966","https://openalex.org/W3153131045","https://openalex.org/W3169651898","https://openalex.org/W4206510612","https://openalex.org/W4213019189","https://openalex.org/W4312298392","https://openalex.org/W4312310776","https://openalex.org/W4378805033","https://openalex.org/W4381785391","https://openalex.org/W4382203409","https://openalex.org/W4386065385","https://openalex.org/W4386075649","https://openalex.org/W4387587797","https://openalex.org/W4390659172","https://openalex.org/W4392931743","https://openalex.org/W4402262438","https://openalex.org/W4402703054","https://openalex.org/W4402716375","https://openalex.org/W4405180677"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Visual-language":[0],"alignment":[1],"is":[2],"crucial":[3],"for":[4,156,159,217],"enhancing":[5],"the":[6,15,19,34,41,61,65,71,93,100,105,115,152,182,190],"domain":[7,73,154,215],"adaptability":[8,155,216],"of":[9,21,37,43,64,99,117,131,148,163],"industrial":[10,54,164],"anomaly":[11,55,157,218],"detection":[12,56,158,219],"models.":[13],"However,":[14],"existing":[16],"methods":[17],"overlook":[18],"importance":[20],"structured":[22],"image":[23],"representation,":[24],"fail":[25],"to":[26,59,84],"further":[27,69],"distinguish":[28],"topological":[29,62],"differences":[30],"between":[31,96],"anomalies":[32],"and":[33,68,102,137,146,168,177,214],"inherent":[35],"textures":[36],"products,":[38],"which":[39,89],"reduces":[40],"accuracy":[42],"semantic":[44,129],"matching.":[45],"To":[46],"address":[47],"this":[48],"problem,":[49],"we":[50,121],"propose":[51],"a":[52,81,123,160],"novel":[53],"model":[57],"G-Anomaly,":[58],"preserve":[60,92],"structure":[63],"sample":[66],"images":[67],"enhance":[70],"model\u2019s":[72,153],"adaptability.":[74],"We":[75,166],"designed":[76],"Pyramid":[77],"Graph":[78],"Transformer":[79],"as":[80,187,189],"visual":[82,87],"encoder":[83],"extract":[85],"multi-scale":[86],"features,":[88],"can":[90],"directly":[91],"structural":[94],"relationships":[95],"different":[97,135],"regions":[98],"image,":[101],"also":[103,211],"optimize":[104],"over-smoothing":[106],"issue":[107],"present":[108],"in":[109,206,221],"deep":[110],"graph":[111],"networks,":[112],"thereby":[113],"retaining":[114],"distinguishability":[116],"anomalous":[118,132],"nodes.":[119],"Additionally,":[120],"design":[122],"Multi-level":[124],"Domain":[125],"Adapter":[126],"that":[127,200],"ensures":[128],"consistency":[130],"features":[133],"across":[134],"scales":[136],"contexts":[138],"by":[139],"performing":[140],"visual-language":[141],"matching":[142],"at":[143],"various":[144],"resolutions":[145],"levels":[147],"abstraction.":[149],"This":[150,197],"enhances":[151],"wide":[161],"range":[162],"products.":[165],"collect":[167],"craft":[169],"an":[170],"actual":[171,191],"solar":[172,192],"panel":[173,193],"dataset":[174,184,194],"PV_actual":[175,195],"AD,":[176],"conduct":[178],"extensive":[179],"experiments":[180],"on":[181],"public":[183],"MVTec":[185],"AD":[186],"well":[188,205],"AD.":[196],"has":[198],"demonstrated":[199],"G-Anomaly":[201],"not":[202],"only":[203],"performs":[204],"standard":[207],"testing":[208],"environments":[209],"but":[210],"exhibits":[212],"robustness":[213],"tasks":[220],"real-world":[222],"scenarios.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
