{"id":"https://openalex.org/W4402351359","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650115","title":"Self-Supervised Vision Transformers for Scalable Anomaly Detection over Images","display_name":"Self-Supervised Vision Transformers for Scalable Anomaly Detection over Images","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351359","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650115"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650115","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5024228106","display_name":"Stefano Samele","orcid":"https://orcid.org/0000-0002-3325-9225"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Stefano Samele","raw_affiliation_strings":["Politecnico di Milano,Department of Electronics, Information and Bioengineering,Milan,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Department of Electronics, Information and Bioengineering,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003932703","display_name":"Matteo Matteucci","orcid":"https://orcid.org/0000-0002-8306-6739"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Matteucci","raw_affiliation_strings":["Politecnico di Milano,Department of Electronics, Information and Bioengineering,Milan,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Department of Electronics, Information and Bioengineering,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024228106"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12865959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs/1807.02011","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7219061851501465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6783133745193481},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6119122505187988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.601723849773407},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5315033793449402},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.47914594411849976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37491363286972046},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14396914839744568},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10106012225151062},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07736551761627197}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7219061851501465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6783133745193481},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6119122505187988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.601723849773407},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5315033793449402},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.47914594411849976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37491363286972046},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14396914839744568},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10106012225151062},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07736551761627197},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650115","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1273222","is_oa":false,"landing_page_url":"https://hdl.handle.net/11311/1273222","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2115627867","https://openalex.org/W2133059825","https://openalex.org/W2133564696","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2599354622","https://openalex.org/W2622263826","https://openalex.org/W2768282280","https://openalex.org/W2887272208","https://openalex.org/W2963045681","https://openalex.org/W2963263347","https://openalex.org/W2987146532","https://openalex.org/W2998702515","https://openalex.org/W3023868590","https://openalex.org/W3034314048","https://openalex.org/W3094502228","https://openalex.org/W3102719490","https://openalex.org/W3118895125","https://openalex.org/W3147184966","https://openalex.org/W3153872861","https://openalex.org/W3159481202","https://openalex.org/W3166166117","https://openalex.org/W3169651898","https://openalex.org/W3203478674","https://openalex.org/W3204520143","https://openalex.org/W4212874935","https://openalex.org/W4214694907","https://openalex.org/W4287887190","https://openalex.org/W4312560592","https://openalex.org/W4312772600","https://openalex.org/W4319299981","https://openalex.org/W4320476215","https://openalex.org/W4366208220","https://openalex.org/W4402776467","https://openalex.org/W6610566761","https://openalex.org/W6679434410","https://openalex.org/W6726497184","https://openalex.org/W6739622702","https://openalex.org/W6746052068","https://openalex.org/W6752554887","https://openalex.org/W6762718338","https://openalex.org/W6763964532","https://openalex.org/W6774314701","https://openalex.org/W6777869702","https://openalex.org/W6784333009","https://openalex.org/W6784850111","https://openalex.org/W6788135285","https://openalex.org/W6851800889","https://openalex.org/W7016021835"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":{"In":[0],"this":[1,43],"work,":[2],"we":[3],"leverage":[4],"self-supervised":[5],"pre-trained":[6],"Vision":[7],"Transformers":[8],"(ViTs)":[9],"and":[10,56,67],"their":[11],"self-attention":[12],"maps":[13],"to":[14,35,74],"build":[15],"a":[16,47],"novel":[17],"anomaly":[18,57,65],"detection":[19,66],"algorithm.":[20],"The":[21,59],"method,":[22],"SAMSAD":[23],"(Self-Attention":[24],"MapS":[25],"for":[26],"Anomaly":[27],"Detection),":[28],"leverages":[29],"the":[30],"ability":[31],"of":[32,45,64],"pre-training":[33],"procedures":[34],"obtain":[36],"implicit":[37],"images\u2019":[38],"semantic":[39],"segmentation":[40,68],"masks.":[41],"From":[42],"organization":[44],"features,":[46],"three-step":[48],"procedure":[49],"is":[50],"proposed":[51],"based":[52],"on":[53],"fine-tuning,":[54],"clustering,":[55],"scoring.":[58],"algorithm":[60],"achieves":[61],"state-of-the-art":[62],"performances":[63],"in":[69],"industrial":[70],"product":[71],"images,":[72],"scaling":[73],"higher-resolution":[75],"images":[76],"with":[77],"more":[78],"effectiveness":[79],"than":[80],"its":[81],"competitors.":[82]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}