{"id":"https://openalex.org/W4412605458","doi":"https://doi.org/10.1109/tpami.2025.3592089","title":"M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising","display_name":"M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising","publication_year":2025,"publication_date":"2025-07-23","ids":{"openalex":"https://openalex.org/W4412605458","doi":"https://doi.org/10.1109/tpami.2025.3592089","pmid":"https://pubmed.ncbi.nlm.nih.gov/40699962"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3592089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3592089","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5023834700","display_name":"Chengjie Wang","orcid":"https://orcid.org/0000-0003-4216-8090"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjie Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Shanghai Jiao Tong University and Youtu Lab, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4216-8090","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University and Youtu Lab, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101292093","display_name":"Haokun Zhu","orcid":"https://orcid.org/0009-0009-8014-2730"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haokun Zhu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0009-8014-2730","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101873531","display_name":"Jinlong Peng","orcid":"https://orcid.org/0009-0003-1887-6406"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Peng","raw_affiliation_strings":["Tencent YouTu Lab, Shanghai, China","Youtu Lab, Tencent, China"],"raw_orcid":"https://orcid.org/0009-0003-1887-6406","affiliations":[{"raw_affiliation_string":"Tencent YouTu Lab, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Youtu Lab, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-9494-9836"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9494-9836","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054879013","display_name":"Ran Yi","orcid":"https://orcid.org/0000-0003-1858-3358"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Yi","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1858-3358","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091425569","display_name":"Yunsheng Wu","orcid":"https://orcid.org/0000-0001-7462-1414"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunsheng Wu","raw_affiliation_strings":["Tencent YouTu Lab, Shanghai, China","Youtu Lab, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0001-7462-1414","affiliations":[{"raw_affiliation_string":"Tencent YouTu Lab, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Youtu Lab, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084218062","display_name":"Lizhuang Ma","orcid":"https://orcid.org/0000-0003-1653-4341"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhuang Ma","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1653-4341","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021861529","display_name":"Jiangning Zhang","orcid":"https://orcid.org/0000-0001-8891-6766"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangning Zhang","raw_affiliation_strings":["Tencent YouTu Lab, Shanghai, China","Youtu Lab, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0001-8891-6766","affiliations":[{"raw_affiliation_string":"Tencent YouTu Lab, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Youtu Lab, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.168,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98200859,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"47","issue":"11","first_page":"9981","last_page":"9993"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9968000054359436,"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":0.9968000054359436,"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":0.7232789397239685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7125501036643982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.640760064125061},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6250575184822083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5987372994422913},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5800879001617432},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5100513100624084},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.4741874635219574}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7232789397239685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7125501036643982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.640760064125061},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6250575184822083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5987372994422913},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5800879001617432},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5100513100624084},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4741874635219574}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3592089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3592089","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40699962","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40699962","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":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1014109120","display_name":null,"funder_award_id":"72192821","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G10871201","display_name":null,"funder_award_id":"62472285","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2259698098","display_name":null,"funder_award_id":"62472282","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2268761546","display_name":null,"funder_award_id":"62302297","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":50,"referenced_works":["https://openalex.org/W2085261163","https://openalex.org/W2948982773","https://openalex.org/W2963049059","https://openalex.org/W3035699237","https://openalex.org/W3092704883","https://openalex.org/W3134095442","https://openalex.org/W3147184966","https://openalex.org/W3159481202","https://openalex.org/W3166166117","https://openalex.org/W3169651898","https://openalex.org/W3172507542","https://openalex.org/W3173770676","https://openalex.org/W3183588514","https://openalex.org/W3190441617","https://openalex.org/W4200597473","https://openalex.org/W4212919149","https://openalex.org/W4214694907","https://openalex.org/W4214755140","https://openalex.org/W4226058394","https://openalex.org/W4285602147","https://openalex.org/W4312421335","https://openalex.org/W4312433903","https://openalex.org/W4312563428","https://openalex.org/W4312772600","https://openalex.org/W4312788538","https://openalex.org/W4319299981","https://openalex.org/W4319301058","https://openalex.org/W4323647550","https://openalex.org/W4385195017","https://openalex.org/W4385805005","https://openalex.org/W4386065385","https://openalex.org/W4386065775","https://openalex.org/W4386065890","https://openalex.org/W4386075837","https://openalex.org/W4386076097","https://openalex.org/W4387968357","https://openalex.org/W4390874324","https://openalex.org/W4390875033","https://openalex.org/W4393147759","https://openalex.org/W4393148014","https://openalex.org/W4393237822","https://openalex.org/W4400411624","https://openalex.org/W4402702916","https://openalex.org/W4402727774","https://openalex.org/W4403562379","https://openalex.org/W4404420613","https://openalex.org/W4404420676","https://openalex.org/W4405622487","https://openalex.org/W4407132623","https://openalex.org/W4411244487"],"related_works":["https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W4407169614","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W4406054402","https://openalex.org/W4312627788","https://openalex.org/W2353444452"],"abstract_inverted_index":{"Existing":[0],"industrial":[1],"anomaly":[2,23,48,107,120,178,198],"detection":[3,179],"methods":[4,193],"primarily":[5],"concentrate":[6],"on":[7,111],"unsupervised":[8],"learning":[9],"with":[10],"pristine":[11],"RGB":[12,16],"images.":[13],"Yet,":[14],"both":[15],"and":[17,25,96,128,133,146,164,180],"3D":[18],"data":[19],"are":[20,28],"crucial":[21],"for":[22],"detection,":[24,49],"the":[26,44,71,83,87,92,118,123,140,153,171,174],"datasets":[27],"seldom":[29],"completely":[30],"clean":[31],"in":[32,194],"practical":[33],"scenarios.":[34],"To":[35],"address":[36],"above":[37],"challenges,":[38],"this":[39],"paper":[40],"initially":[41],"delves":[42],"into":[43],"RGB-3D":[45],"multi-modal":[46,59,196],"noisy":[47,197],"proposing":[50],"a":[51,78,97,105],"novel":[52],"noise-resistant":[53],"M3DM-NR":[54,64,190],"framework":[55],"to":[56,76,103,109,136,169],"leveraging":[57],"strong":[58],"discriminative":[60],"capabilities":[61],"of":[62,66,122,139,173],"CLIP.":[63],"consists":[65],"three":[67],"stages:":[68],"Stage-I":[69],"introduces":[70],"Suspected":[72,98],"References":[73],"Selection":[74],"module":[75,102],"filter":[77],"few":[79],"normal":[80],"samples":[81,125,142],"from":[82],"training":[84,141,175],"dataset,":[85,176],"using":[86],"multimodal":[88],"features":[89],"extracted":[90],"by":[91],"Initial":[93],"Feature":[94,155,158],"Extraction,":[95],"Anomaly":[99],"Map":[100],"Computation":[101],"generate":[104],"suspected":[106,119],"map":[108],"focus":[110],"abnormal":[112],"regions":[113],"as":[114,126],"reference.":[115],"Stage-II":[116],"uses":[117],"maps":[121],"reference":[124],"reference,":[127],"inputs":[129],"image,":[130],"point":[131],"cloud,":[132],"text":[134],"information":[135],"achieve":[137],"denoising":[138],"through":[143],"intra-modal":[144],"comparison":[145],"multi-scale":[147],"aggregation":[148],"operations.":[149],"Finally,":[150],"Stage-III":[151],"proposes":[152],"Point":[154],"Alignment,":[156],"Unsupervised":[157],"Fusion,":[159],"Noise":[160],"Discriminative":[161],"Coreset":[162],"Selection,":[163],"Decision":[165],"Layer":[166],"Fusion":[167],"modules":[168],"learn":[170],"pattern":[172],"enabling":[177],"segmentation":[181],"while":[182],"filtering":[183],"out":[184],"noise.":[185],"Extensive":[186],"experiments":[187],"show":[188],"that":[189],"outperforms":[191],"state-of-the-art":[192],"3D-RGB":[195],"detection.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
