{"id":"https://openalex.org/W7117488310","doi":"https://doi.org/10.1109/dicta68720.2025.11302453","title":"2D-3D Feature Fusion via Cross-Modal Latent Synthesis and Attention-Guided Restoration for Industrial Anomaly Detection","display_name":"2D-3D Feature Fusion via Cross-Modal Latent Synthesis and Attention-Guided Restoration for Industrial Anomaly Detection","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W7117488310","doi":"https://doi.org/10.1109/dicta68720.2025.11302453"},"language":null,"primary_location":{"id":"doi:10.1109/dicta68720.2025.11302453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta68720.2025.11302453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-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/A5121465252","display_name":"Usman Ali","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135941","display_name":"GIFT University","ror":"https://ror.org/04tb22w36","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210135941"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Usman Ali","raw_affiliation_strings":["GIFT University,Pakistan"],"affiliations":[{"raw_affiliation_string":"GIFT University,Pakistan","institution_ids":["https://openalex.org/I4210135941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121443991","display_name":"Ali Zia","orcid":null},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ali Zia","raw_affiliation_strings":["La Trobe University,Australia"],"affiliations":[{"raw_affiliation_string":"La Trobe University,Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121467742","display_name":"Abdul Rehman","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135941","display_name":"GIFT University","ror":"https://ror.org/04tb22w36","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210135941"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Abdul Rehman","raw_affiliation_strings":["GIFT University,Pakistan"],"affiliations":[{"raw_affiliation_string":"GIFT University,Pakistan","institution_ids":["https://openalex.org/I4210135941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115647644","display_name":"Umer Ramzan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135941","display_name":"GIFT University","ror":"https://ror.org/04tb22w36","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210135941"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Umer Ramzan","raw_affiliation_strings":["GIFT University,Pakistan"],"affiliations":[{"raw_affiliation_string":"GIFT University,Pakistan","institution_ids":["https://openalex.org/I4210135941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121499159","display_name":"Zohaib Hassan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135941","display_name":"GIFT University","ror":"https://ror.org/04tb22w36","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210135941"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Zohaib Hassan","raw_affiliation_strings":["GIFT University,Pakistan"],"affiliations":[{"raw_affiliation_string":"GIFT University,Pakistan","institution_ids":["https://openalex.org/I4210135941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121505036","display_name":"Talha Sattar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135941","display_name":"GIFT University","ror":"https://ror.org/04tb22w36","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210135941"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Talha Sattar","raw_affiliation_strings":["GIFT University,Pakistan"],"affiliations":[{"raw_affiliation_string":"GIFT University,Pakistan","institution_ids":["https://openalex.org/I4210135941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121471830","display_name":"Jing Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I2801559191","display_name":"New South Wales Department of Primary Industries","ror":"https://ror.org/050khh066","country_code":"AU","type":"funder","lineage":["https://openalex.org/I2801351115","https://openalex.org/I2801559191"]},{"id":"https://openalex.org/I4210105921","display_name":"Department of Primary Industries and Regional Development","ror":"https://ror.org/01awp2978","country_code":"AU","type":"government","lineage":["https://openalex.org/I2799506148","https://openalex.org/I4210105921"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Department of Primary Industries,Queensland,Australia"],"affiliations":[{"raw_affiliation_string":"Department of Primary Industries,Queensland,Australia","institution_ids":["https://openalex.org/I2801559191","https://openalex.org/I4210105921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017910586","display_name":"Wei Xiang","orcid":"https://orcid.org/0009-0008-6169-1497"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Xiang","raw_affiliation_strings":["La Trobe University,Australia"],"affiliations":[{"raw_affiliation_string":"La Trobe University,Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5121465252"],"corresponding_institution_ids":["https://openalex.org/I4210135941"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.84373777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9298999905586243,"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":0.9298999905586243,"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":0.008500000461935997,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.007799999788403511,"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":0.7139000296592712},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6758999824523926},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5439000129699707},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.5238000154495239},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49970000982284546},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4408999979496002},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.39559999108314514},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.36010000109672546}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7188000082969666},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7139000296592712},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6758999824523926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6180999875068665},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5439000129699707},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.5238000154495239},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49970000982284546},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4408999979496002},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.39559999108314514},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38769999146461487},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.36010000109672546},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3434000015258789},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.3301999866962433},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2903999984264374},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.26179999113082886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta68720.2025.11302453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta68720.2025.11302453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7188498377799988,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2160821342","https://openalex.org/W2194775991","https://openalex.org/W2964137095","https://openalex.org/W2987228832","https://openalex.org/W3118895125","https://openalex.org/W3159481202","https://openalex.org/W3169077988","https://openalex.org/W3169651898","https://openalex.org/W4214755140","https://openalex.org/W4292851291","https://openalex.org/W4312239247","https://openalex.org/W4312788538","https://openalex.org/W4312950511","https://openalex.org/W4319299981","https://openalex.org/W4385805005","https://openalex.org/W4386065775","https://openalex.org/W4390875033","https://openalex.org/W4400489590","https://openalex.org/W4402753796","https://openalex.org/W4407475717","https://openalex.org/W4409195436","https://openalex.org/W4409653247","https://openalex.org/W4410589970","https://openalex.org/W4411336799"],"related_works":[],"abstract_inverted_index":{"Industrial":[0],"anomaly":[1,130],"detection":[2],"(IAD)":[3],"increasingly":[4],"benefits":[5],"from":[6,35],"integrating":[7],"2D":[8],"and":[9,38,61,70,85,98,109,120,126],"3D":[10],"data,":[11],"but":[12],"robust":[13],"cross-modal":[14],"fusion":[15,44,107],"remains":[16],"challenging.":[17],"We":[18],"propose":[19],"a":[20,31,42,80,114],"novel":[21],"unsupervised":[22],"framework,":[23],"Multi-Modal":[24],"Attention-Driven":[25],"Fusion":[26],"Restoration":[27],"(MAFR),":[28],"which":[29],"synthesises":[30],"unified":[32],"latent":[33],"space":[34],"RGB":[36],"images":[37],"point":[39],"clouds":[40],"using":[41],"shared":[43],"encoder,":[45],"followed":[46],"by":[47,54],"attention-guided,":[48],"modality-specific":[49],"decoders.":[50],"Anomalies":[51],"are":[52],"localised":[53],"measuring":[55],"reconstruction":[56],"errors":[57],"between":[58],"input":[59],"features":[60],"their":[62],"restored":[63],"counterparts.":[64],"Evaluations":[65],"on":[66],"the":[67,102,106,124],"MVTec":[68],"3D-AD":[69],"Eyecandies":[71],"benchmarks":[72],"demonstrate":[73],"that":[74],"MAFR":[75,112],"achieves":[76],"state-of-the-art":[77],"results,":[78],"with":[79],"mean":[81],"I-AUROC":[82],"of":[83,105,128],"0.972":[84],"0.901,":[86],"respectively.":[87],"The":[88],"framework":[89],"also":[90],"exhibits":[91],"strong":[92],"performance":[93],"in":[94],"few-shot":[95],"learning":[96],"settings,":[97],"ablation":[99],"studies":[100],"confirm":[101],"critical":[103],"roles":[104],"architecture":[108],"composite":[110],"loss.":[111],"offers":[113],"principled":[115],"approach":[116],"for":[117],"fusing":[118],"visual":[119],"geometric":[121],"information,":[122],"advancing":[123],"robustness":[125],"accuracy":[127],"industrial":[129],"detection.":[131],"Code":[132],"is":[133],"available":[134],"at":[135],"https://github.com/adabrh/MAFR.":[136]},"counts_by_year":[],"updated_date":"2025-12-30T23:08:21.542490","created_date":"2025-12-29T00:00:00"}