{"id":"https://openalex.org/W3193552213","doi":"https://doi.org/10.1109/icip42928.2021.9506332","title":"SAGAN: Skip-Attention GAN For Anomaly Detection","display_name":"SAGAN: Skip-Attention GAN For Anomaly Detection","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3193552213","doi":"https://doi.org/10.1109/icip42928.2021.9506332","mag":"3193552213"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","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/A5100714422","display_name":"Guoliang Liu","orcid":"https://orcid.org/0000-0001-6614-6932"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guoliang Liu","raw_affiliation_strings":["National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science,China","National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science, China"],"affiliations":[{"raw_affiliation_string":"National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science,China","institution_ids":[]},{"raw_affiliation_string":"National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032662894","display_name":"Shiyong Lan","orcid":"https://orcid.org/0000-0002-7109-9170"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyong Lan","raw_affiliation_strings":["Sichuan University,College of Computer Science,China","College of Computer Science, Sichuan University, China","National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458354","display_name":"Ting Zhang","orcid":"https://orcid.org/0009-0008-8621-3598"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ting Zhang","raw_affiliation_strings":["National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science,China","National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science, China"],"affiliations":[{"raw_affiliation_string":"National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science,China","institution_ids":[]},{"raw_affiliation_string":"National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030382558","display_name":"Weikang Huang","orcid":"https://orcid.org/0000-0002-0507-4004"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weikang Huang","raw_affiliation_strings":["National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science,China","National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science, China"],"affiliations":[{"raw_affiliation_string":"National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science,China","institution_ids":[]},{"raw_affiliation_string":"National Defense Key Laboratory for Synthetic Vision Graphics and Imaging Science, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100676721","display_name":"Wenwu Wang","orcid":"https://orcid.org/0000-0002-8393-5703"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wenwu Wang","raw_affiliation_strings":["University of Surrey,Center for Vision Speech and Signal Processing,UK","Center for Vision Speech and Signal Processing, University of Surrey, UK"],"affiliations":[{"raw_affiliation_string":"University of Surrey,Center for Vision Speech and Signal Processing,UK","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"Center for Vision Speech and Signal Processing, University of Surrey, UK","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100714422"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1273,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.92964508,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2468","last_page":"2472"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9911999702453613,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9908000230789185,"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":0.7080454230308533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6661161184310913},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6494171023368835},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5894237756729126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5892210602760315},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5689608454704285},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.563334584236145},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5521581768989563}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7080454230308533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6661161184310913},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6494171023368835},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5894237756729126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5892210602760315},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5689608454704285},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.563334584236145},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5521581768989563},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1514907448","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2099471712","https://openalex.org/W2173520492","https://openalex.org/W2531409750","https://openalex.org/W2599354622","https://openalex.org/W2787947370","https://openalex.org/W2798122215","https://openalex.org/W2884585870","https://openalex.org/W2910068345","https://openalex.org/W2911672077","https://openalex.org/W2954278343","https://openalex.org/W2963045681","https://openalex.org/W2963420686","https://openalex.org/W2963684088","https://openalex.org/W2963923251","https://openalex.org/W2978971541","https://openalex.org/W2981413347","https://openalex.org/W3007028022","https://openalex.org/W4320013936","https://openalex.org/W6630611256","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6685352114","https://openalex.org/W6728184133","https://openalex.org/W6748495906","https://openalex.org/W6750469568","https://openalex.org/W6751917112","https://openalex.org/W6753412334","https://openalex.org/W6757061866","https://openalex.org/W6758101687"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"Generative":[0],"Adversarial":[1],"Networks":[2],"(GANs)":[3],"have":[4],"been":[5],"used":[6],"recently":[7],"for":[8],"anomaly":[9,15,60],"detection":[10,50,61],"from":[11],"images,":[12,82],"where":[13],"the":[14,21,25,31,76,90,95,99,103,107,116],"scores":[16],"are":[17],"obtained":[18],"by":[19,111,133],"comparing":[20],"global":[22],"difference":[23],"between":[24],"input":[26],"and":[27,42,83,106,113],"generated":[28],"image.":[29],"However,":[30],"anomalies":[32],"often":[33],"appear":[34],"in":[35,94,121],"local":[36,72],"areas":[37],"of":[38,51,78,81,92,118,123],"an":[39,58],"image":[40],"scene,":[41],"ignoring":[43],"such":[44],"information":[45,73],"can":[46],"lead":[47],"to":[48,70,74,88],"unreliable":[49],"anomalies.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"efficient":[59],"network":[62],"Skip-Attention":[63],"GAN":[64],"(SAGAN),":[65],"which":[66],"adds":[67],"attention":[68],"modules":[69],"capture":[71],"improve":[75],"accuracy":[77],"latent":[79],"representation":[80],"uses":[84],"depth-wise":[85],"separable":[86],"convolutions":[87],"reduce":[89],"number":[91],"parameters":[93],"model.":[96],"We":[97],"evaluate":[98],"proposed":[100],"method":[101,120],"on":[102,128,137],"CIFAR-10":[104],"dataset":[105,109],"LBOT":[108],"(built":[110],"ourselves),":[112],"show":[114],"that":[115],"performance":[117],"our":[119],"terms":[122],"area":[124],"under":[125],"curve":[126],"(AUC)":[127],"both":[129],"datasets":[130],"is":[131],"improved":[132],"more":[134],"than":[135],"10%":[136],"average,":[138],"as":[139],"compared":[140],"with":[141],"three":[142],"recent":[143],"baseline":[144],"methods.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}