{"id":"https://openalex.org/W7118207297","doi":"https://doi.org/10.1145/3786784","title":"Neighborhood Attention-based Feature Reconstruction for Image Anomaly Detection and Localization","display_name":"Neighborhood Attention-based Feature Reconstruction for Image Anomaly Detection and Localization","publication_year":2026,"publication_date":"2026-01-05","ids":{"openalex":"https://openalex.org/W7118207297","doi":"https://doi.org/10.1145/3786784"},"language":"en","primary_location":{"id":"doi:10.1145/3786784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3786784","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5060560577","display_name":"Weizhi Xian","orcid":"https://orcid.org/0000-0001-5137-3542"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhi Xian","raw_affiliation_strings":["Chongqing Research Institute of Harbin Institute of Technology, Harbin Institute of Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-5137-3542","affiliations":[{"raw_affiliation_string":"Chongqing Research Institute of Harbin Institute of Technology, Harbin Institute of Technology, Chongqing, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121940341","display_name":"Yichi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichi Chen","raw_affiliation_strings":["Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0008-6938-2824","affiliations":[{"raw_affiliation_string":"Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121912290","display_name":"Bin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["Chongqing Research Institute of Harbin Institute of Technology, Harbin Institute of Technology, Chongqing, China and Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3979-021X","affiliations":[{"raw_affiliation_string":"Chongqing Research Institute of Harbin Institute of Technology, Harbin Institute of Technology, Chongqing, China and Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035706700","display_name":"Leong Hou U","orcid":"https://orcid.org/0000-0002-5135-5165"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Leong Hou U","raw_affiliation_strings":["State Key Laboratory of Internet of Things for Smart City, University of Macau, Taipa,\u00a0Macao"],"raw_orcid":"https://orcid.org/0000-0002-5135-5165","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Internet of Things for Smart City, University of Macau, Taipa,\u00a0Macao","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121922787","display_name":"Shiyou Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]},{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyou Liu","raw_affiliation_strings":["School of Computer Science, Chongqing University, Chongqing, China and Chongqing Tsingshan Industrial Co., Ltd., Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0006-0670-1686","affiliations":[{"raw_affiliation_string":"School of Computer Science, Chongqing University, Chongqing, China and Chongqing Tsingshan Industrial Co., Ltd., Chongqing, China","institution_ids":["https://openalex.org/I158842170","https://openalex.org/I168337820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080188411","display_name":"Y. Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Feng","raw_affiliation_strings":["School of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-8820-8388","affiliations":[{"raw_affiliation_string":"School of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121954990","display_name":"Mingliang Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Zhou","raw_affiliation_strings":["School of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-1874-3641","affiliations":[{"raw_affiliation_string":"School of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I165488957","display_name":"Lingnan University","ror":"https://ror.org/0563pg902","country_code":"HK","type":"education","lineage":["https://openalex.org/I165488957"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["School of Data Sciences, Lingnan University, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"School of Data Sciences, Lingnan University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I165488957"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02998393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"3","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9623000025749207,"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":0.9623000025749207,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0052999998442828655,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.004699999932199717,"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":0.7921000123023987},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6891000270843506},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6798999905586243},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5720999836921692},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5570999979972839},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5116999745368958},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4207000136375427},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4207000136375427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.835099995136261},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7921000123023987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7520999908447266},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6891000270843506},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6798999905586243},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5720999836921692},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5570999979972839},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5116999745368958},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5101000070571899},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4207000136375427},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4207000136375427},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.32030001282691956},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.2976999878883362},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.29649999737739563},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.28529998660087585},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3786784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3786784","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7461891174316406,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2889962487","display_name":null,"funder_award_id":"62176027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4380501300","display_name":null,"funder_award_id":"2024MD754244","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4676946420","display_name":null,"funder_award_id":"CSTB2024NSCQ-MSX0479","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1553946767","https://openalex.org/W1901129140","https://openalex.org/W2108598243","https://openalex.org/W2114834796","https://openalex.org/W2884561390","https://openalex.org/W2907868778","https://openalex.org/W2948982773","https://openalex.org/W2963156262","https://openalex.org/W2967610771","https://openalex.org/W2994817145","https://openalex.org/W3081812382","https://openalex.org/W3112098503","https://openalex.org/W3114010851","https://openalex.org/W3138516171","https://openalex.org/W3201221410","https://openalex.org/W4294982611","https://openalex.org/W4312274522","https://openalex.org/W4312466125","https://openalex.org/W4385195017","https://openalex.org/W4386699337","https://openalex.org/W4387351203","https://openalex.org/W4388271799","https://openalex.org/W4388878456","https://openalex.org/W4390423734","https://openalex.org/W4401041671","https://openalex.org/W4401070499","https://openalex.org/W4406039053","https://openalex.org/W4407029570","https://openalex.org/W4412107164","https://openalex.org/W4412719026","https://openalex.org/W4413465538","https://openalex.org/W4415797161"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,36,87,116,128],"advancement":[2],"of":[3,38,130,171],"machine":[4],"vision":[5,8],"technology,":[6],"automated":[7],"inspection":[9],"systems":[10],"are":[11],"needed":[12],"in":[13,47,154,158],"broad":[14],"quality":[15],"control":[16],"scenarios.":[17],"This":[18,68],"article":[19],"proposes":[20],"a":[21,53,91],"neighborhood":[22,77],"attention-based":[23],"feature":[24,54,172],"reconstruction":[25,55],"method":[26],"for":[27],"image":[28],"anomaly":[29,49,111],"detection":[30],"and":[31,43,73,86,145,156,174],"localization":[32],"(NAFRAD).":[33],"To":[34],"address":[35],"challenges":[37],"data":[39],"scarcity,":[40],"low":[41],"visibility,":[42],"irregular":[44],"defect":[45],"shapes":[46],"unsupervised":[48,179],"detection,":[50],"we":[51],"introduce":[52],"framework":[56],"that":[57],"preserves":[58],"high-level":[59],"abstract":[60],"features":[61,100],"rather":[62],"than":[63],"focusing":[64],"on":[65,115],"pixel-level":[66],"reconstruction.":[67],"approach":[69],"enhances":[70],"model":[71],"robustness":[72],"generalizability":[74],"by":[75,101,152],"leveraging":[76],"attention":[78],"(NA)":[79],"mechanisms,":[80],"which":[81],"simultaneously":[82],"capture":[83],"local":[84,103],"details":[85],"global":[88],"context":[89],"through":[90,167],"sliding":[92],"window":[93],"strategy.":[94],"The":[95,162,181],"NA-based":[96],"autoencoder":[97],"reconstructs":[98],"normal":[99],"aggregating":[102],"inductive":[104],"biases":[105],"with":[106,125,136,176],"translational":[107],"equivariance,":[108],"enabling":[109],"precise":[110],"localization.":[112],"Extensive":[113],"experiments":[114],"MVTec":[117],"Anomaly":[118],"Detection":[119],"(MVTec":[120],"AD)":[121],"dataset\u2014comprising":[122],"15":[123],"categories":[124],"5,354":[126],"images\u2014demonstrate":[127],"superiority":[129],"NAFRAD.":[131],"It":[132],"achieves":[133],"state-of-the-art":[134],"performance":[135],"AUROC":[137,141,159],"\\({}_{I}\\)":[138],"=":[139,143,147],"99.02,":[140],"\\({}_{P}\\)":[142,160],"98.99,":[144],"AP":[146,155],"79.40,":[148],"outperforming":[149],"existing":[150],"methods":[151],"3.6%":[153],"0.89%":[157],".":[161,188],"framework\u2019s":[163],"effectiveness":[164],"is":[165,183],"validated":[166],"ablation":[168],"studies,":[169],"visualization":[170],"reconstruction,":[173],"comparisons":[175],"eight":[177],"leading":[178],"methods.":[180],"code":[182],"made":[184],"public":[185],"at":[186],"https://github.com/Math-Computer/NAFRAD":[187]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-05T00:00:00"}