{"id":"https://openalex.org/W3044215473","doi":"https://doi.org/10.1142/s0129065720500604","title":"A Neural Network for Image Anomaly Detection with Deep Pyramidal Representations and Dynamic Routing","display_name":"A Neural Network for Image Anomaly Detection with Deep Pyramidal Representations and Dynamic Routing","publication_year":2020,"publication_date":"2020-07-22","ids":{"openalex":"https://openalex.org/W3044215473","doi":"https://doi.org/10.1142/s0129065720500604","mag":"3044215473","pmid":"https://pubmed.ncbi.nlm.nih.gov/32938260"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065720500604","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://air.uniud.it/bitstream/11390/1190871/3/paper_no_highlishts.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101561398","display_name":"Pankaj Kumar Mishra","orcid":"https://orcid.org/0000-0003-1945-5737"},"institutions":[{"id":"https://openalex.org/I129043915","display_name":"University of Udine","ror":"https://ror.org/05ht0mh31","country_code":"IT","type":"funder","lineage":["https://openalex.org/I129043915"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pankaj Mishra","raw_affiliation_strings":["Dipartimento di Scienze Matematiche, Informatiche e Fisiche, Universit\u00e0 Degli Studi di Udine, Via Delle Scienze 206, 33100 Udine, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Matematiche, Informatiche e Fisiche, Universit\u00e0 Degli Studi di Udine, Via Delle Scienze 206, 33100 Udine, Italy","institution_ids":["https://openalex.org/I129043915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004078798","display_name":"Claudio Piciarelli","orcid":"https://orcid.org/0000-0001-5305-1520"},"institutions":[{"id":"https://openalex.org/I129043915","display_name":"University of Udine","ror":"https://ror.org/05ht0mh31","country_code":"IT","type":"funder","lineage":["https://openalex.org/I129043915"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Claudio Piciarelli","raw_affiliation_strings":["Dipartimento di Scienze Matematiche, Informatiche e Fisiche, Universit\u00e0 Degli Studi di Udine, Via Delle Scienze 206, 33100 Udine, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Matematiche, Informatiche e Fisiche, Universit\u00e0 Degli Studi di Udine, Via Delle Scienze 206, 33100 Udine, Italy","institution_ids":["https://openalex.org/I129043915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078277002","display_name":"Gian Luca Foresti","orcid":"https://orcid.org/0000-0002-8425-6892"},"institutions":[{"id":"https://openalex.org/I129043915","display_name":"University of Udine","ror":"https://ror.org/05ht0mh31","country_code":"IT","type":"funder","lineage":["https://openalex.org/I129043915"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gian Luca Foresti","raw_affiliation_strings":["Dipartimento di Scienze Matematiche, Informatiche e Fisiche, Universit\u00e0 Degli Studi di Udine, Via Delle Scienze 206, 33100 Udine, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Matematiche, Informatiche e Fisiche, Universit\u00e0 Degli Studi di Udine, Via Delle Scienze 206, 33100 Udine, Italy","institution_ids":["https://openalex.org/I129043915"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5004078798"],"corresponding_institution_ids":["https://openalex.org/I129043915"],"apc_list":null,"apc_paid":null,"fwci":3.306,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":30,"citation_normalized_percentile":{"value":0.782203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":"30","issue":"10","first_page":"2050060","last_page":"2050060"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9728,"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","display_name":"Anomaly (physics)","score":0.7214012},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5741075}],"concepts":[{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.7214012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6853918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6830994},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.65180564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6117689},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6117025},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.59656006},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5741075},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44188234},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42153206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3625856},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10257587},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08450553},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07848254},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065720500604","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://hdl.handle.net/11390/1190871","pdf_url":"https://air.uniud.it/bitstream/11390/1190871/3/paper_no_highlishts.pdf","source":{"id":"https://openalex.org/S4306401163","display_name":"Institutional Research Information System (University of Udine)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I129043915","host_organization_name":"University of Udine","host_organization_lineage":["https://openalex.org/I129043915"],"host_organization_lineage_names":["University of Udine"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://hdl.handle.net/11390/1190871","pdf_url":"https://air.uniud.it/bitstream/11390/1190871/3/paper_no_highlishts.pdf","source":{"id":"https://openalex.org/S4306401163","display_name":"Institutional Research Information System (University of Udine)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I129043915","host_organization_name":"University of Udine","host_organization_lineage":["https://openalex.org/I129043915"],"host_organization_lineage_names":["University of Udine"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.73,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":35,"referenced_works":["https://openalex.org/W2037660732","https://openalex.org/W2110934250","https://openalex.org/W2112796928","https://openalex.org/W2115627867","https://openalex.org/W2122646361","https://openalex.org/W2127979711","https://openalex.org/W2278186031","https://openalex.org/W2340896621","https://openalex.org/W2559655401","https://openalex.org/W2562062856","https://openalex.org/W2586975268","https://openalex.org/W2599354622","https://openalex.org/W2604272474","https://openalex.org/W2612690371","https://openalex.org/W2621614835","https://openalex.org/W2736832651","https://openalex.org/W2752782242","https://openalex.org/W2759483166","https://openalex.org/W2767106145","https://openalex.org/W2784032999","https://openalex.org/W2790407631","https://openalex.org/W2795691199","https://openalex.org/W2797887770","https://openalex.org/W2800428573","https://openalex.org/W2807998075","https://openalex.org/W2884745705","https://openalex.org/W2888026659","https://openalex.org/W2905867642","https://openalex.org/W2918698221","https://openalex.org/W2950119225","https://openalex.org/W2964032056","https://openalex.org/W3013207792","https://openalex.org/W3105939760","https://openalex.org/W3106257921","https://openalex.org/W4212774754"],"related_works":["https://openalex.org/W4377864969","https://openalex.org/W4300558037","https://openalex.org/W4290647774","https://openalex.org/W3210364259","https://openalex.org/W3207797160","https://openalex.org/W3189286258","https://openalex.org/W3030345572","https://openalex.org/W2912112202","https://openalex.org/W2806741695","https://openalex.org/W2667207928"],"abstract_inverted_index":{"Image":[0,26],"anomaly":[1],"detection":[2],"is":[3,10,87],"an":[4],"application-driven":[5],"problem":[6],"where":[7],"the":[8,19,48,76,85,110],"aim":[9],"to":[11,45,53,65],"identify":[12],"novel":[13],"samples,":[14],"which":[15,36],"differ":[16],"significantly":[17],"from":[18],"normal":[20,56],"ones.":[21],"We":[22],"here":[23],"propose":[24],"Pyramidal":[25],"Anomaly":[27],"DEtector":[28],"(PIADE),":[29],"a":[30,66],"deep":[31],"reconstruction-based":[32],"pyramidal":[33],"approach,":[34],"in":[35],"image":[37,78],"features":[38,61],"are":[39,62],"extracted":[40],"at":[41,105],"different":[42],"scale":[43],"levels":[44],"better":[46,108],"catch":[47],"peculiarities":[49],"that":[50],"could":[51],"help":[52],"discriminate":[54],"between":[55],"and":[57,69,93,123],"anomalous":[58],"data.":[59],"The":[60,101],"dynamically":[63],"routed":[64],"reconstruction":[67],"layer":[68],"anomalies":[70],"can":[71],"be":[72],"identified":[73],"by":[74,89],"comparing":[75],"input":[77],"with":[79],"its":[80],"reconstruction.":[81],"Unlike":[82],"similar":[83],"approaches,":[84],"comparison":[86],"done":[88],"using":[90],"structural":[91],"similarity":[92],"perceptual":[94],"loss":[95],"rather":[96],"than":[97,109],"trivial":[98],"pixel-by-pixel":[99],"comparison.":[100],"proposed":[102],"method":[103],"performed":[104],"par":[106],"or":[107],"state-of-the-art":[111],"methods":[112],"when":[113],"tested":[114],"on":[115],"publicly":[116],"available":[117],"datasets":[118],"such":[119],"as":[120],"CIFAR10,":[121],"COIL-100":[122],"MVTec.":[124]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3044215473","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":15}],"updated_date":"2025-03-23T17:20:31.159730","created_date":"2020-07-29"}