{"id":"https://openalex.org/W4321192183","doi":"https://doi.org/10.1109/icce56470.2023.10043368","title":"ABCAS: Adaptive Bound Control of spectral norm as Automatic Stabilizer","display_name":"ABCAS: Adaptive Bound Control of spectral norm as Automatic Stabilizer","publication_year":2023,"publication_date":"2023-01-06","ids":{"openalex":"https://openalex.org/W4321192183","doi":"https://doi.org/10.1109/icce56470.2023.10043368"},"language":"en","primary_location":{"id":"doi:10.1109/icce56470.2023.10043368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce56470.2023.10043368","pdf_url":null,"source":{"id":"https://openalex.org/S4363607959","display_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","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/A5065517418","display_name":"Shota Hirose","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shota Hirose","raw_affiliation_strings":["School of Fundamental Science and Engineering, Waseda University,Faculty of Science and Engineering,Tokyo,Japan","Faculty of Science and Engineering, School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Fundamental Science and Engineering, Waseda University,Faculty of Science and Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Faculty of Science and Engineering, School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020373984","display_name":"Shiori Maki","orcid":"https://orcid.org/0000-0003-4544-3510"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shiori Maki","raw_affiliation_strings":["School of Fundamental Science and Engineering, Waseda University,Faculty of Science and Engineering,Tokyo,Japan","Faculty of Science and Engineering, School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Fundamental Science and Engineering, Waseda University,Faculty of Science and Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Faculty of Science and Engineering, School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026401238","display_name":"Naoki Wada","orcid":"https://orcid.org/0000-0003-2522-6711"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Wada","raw_affiliation_strings":["School of Fundamental Science and Engineering, Waseda University,Faculty of Science and Engineering,Tokyo,Japan","Faculty of Science and Engineering, School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Fundamental Science and Engineering, Waseda University,Faculty of Science and Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Faculty of Science and Engineering, School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002294739","display_name":"Jiro Katto","orcid":"https://orcid.org/0000-0002-1671-2614"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiro Katto","raw_affiliation_strings":["School of Fundamental Science and Engineering, Waseda University,Faculty of Science and Engineering,Tokyo,Japan","Faculty of Science and Engineering, School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Fundamental Science and Engineering, Waseda University,Faculty of Science and Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Faculty of Science and Engineering, School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089205282","display_name":"Heming Sun","orcid":"https://orcid.org/0000-0001-5583-4895"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]},{"id":"https://openalex.org/I4210086780","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19","country_code":"JP","type":"government","lineage":["https://openalex.org/I4210086780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Heming Sun","raw_affiliation_strings":["Waseda Research Institute for Science and Engineering, Waseda University,Tokyo,Japan","Waseda Research Institute for Science and Engineering, Waseda University, Tokyo, Japan","JST, PRESTO, Saitama, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda Research Institute for Science and Engineering, Waseda University,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Waseda Research Institute for Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"JST, PRESTO, Saitama, Japan","institution_ids":["https://openalex.org/I4210086780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065517418"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.1262,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.31329382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994999766349792,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9970999956130981,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9957000017166138,"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/discriminator","display_name":"Discriminator","score":0.933041512966156},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.8581730127334595},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6400777697563171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6060358285903931},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5755645036697388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5263451337814331},{"id":"https://openalex.org/keywords/lipschitz-continuity","display_name":"Lipschitz continuity","score":0.48434722423553467},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.45258933305740356},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.44410914182662964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43338513374328613},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4264027774333954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26708415150642395},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.10905447602272034}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.933041512966156},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8581730127334595},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6400777697563171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6060358285903931},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5755645036697388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5263451337814331},{"id":"https://openalex.org/C22324862","wikidata":"https://www.wikidata.org/wiki/Q652707","display_name":"Lipschitz continuity","level":2,"score":0.48434722423553467},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.45258933305740356},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.44410914182662964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43338513374328613},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4264027774333954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26708415150642395},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.10905447602272034},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce56470.2023.10043368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce56470.2023.10043368","pdf_url":null,"source":{"id":"https://openalex.org/S4363607959","display_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2521028896","https://openalex.org/W2593414223","https://openalex.org/W2618017917","https://openalex.org/W2739748921","https://openalex.org/W2785678896","https://openalex.org/W2804078698","https://openalex.org/W2952716587","https://openalex.org/W2962770929","https://openalex.org/W2968917279","https://openalex.org/W3034600949","https://openalex.org/W3034720584","https://openalex.org/W3213828293","https://openalex.org/W3214536939","https://openalex.org/W4294643831","https://openalex.org/W4295521014","https://openalex.org/W4298289240","https://openalex.org/W4301206121","https://openalex.org/W4385245566","https://openalex.org/W6637568146","https://openalex.org/W6727501944","https://openalex.org/W6735913928","https://openalex.org/W6738248287","https://openalex.org/W6739901393","https://openalex.org/W6741832134","https://openalex.org/W6745560452","https://openalex.org/W6748582592","https://openalex.org/W6752378368","https://openalex.org/W6755312952","https://openalex.org/W6765779288","https://openalex.org/W6767164110","https://openalex.org/W6779093361","https://openalex.org/W6804043765","https://openalex.org/W6804657168"],"related_works":["https://openalex.org/W4280544492","https://openalex.org/W2785678896","https://openalex.org/W2963836885","https://openalex.org/W3157419197","https://openalex.org/W3121258398","https://openalex.org/W4200635658","https://openalex.org/W4308536458","https://openalex.org/W2884614645","https://openalex.org/W3015366916","https://openalex.org/W4309129782"],"abstract_inverted_index":{"Spectral":[0,16],"Normalization":[1,17],"is":[2,50],"one":[3],"of":[4,12,21,83,85,95,98,109],"the":[5,10,19,24,55,81,93,96,123],"best":[6],"methods":[7],"for":[8,118],"stabilizing":[9],"training":[11,38,56,97],"Generative":[13,99],"Adversarial":[14,100],"Network.":[15],"limits":[18],"gradient":[20],"discriminator":[22],"between":[23,26],"distribution":[25],"real":[27,86],"data":[28],"and":[29,87,102],"fake":[30,88],"data.":[31,89],"However,":[32],"even":[33],"with":[34],"this":[35,42],"normalization,":[36],"GAN's":[37],"sometimes":[39,51],"fails.":[40],"In":[41],"paper,":[43],"we":[44,59],"reveal":[45],"that":[46],"more":[47],"severe":[48],"restriction":[49],"needed":[52],"depending":[53],"on":[54],"dataset,":[57],"then":[58],"propose":[60],"a":[61],"novel":[62],"stabilizer":[63],"which":[64],"offers":[65],"an":[66,126],"adaptive":[67],"normalization":[68],"method,":[69],"called":[70],"ABCAS.":[71],"Our":[72,90],"method":[73,91],"decides":[74],"discriminator's":[75],"Lipschitz":[76],"constant":[77],"adaptively,":[78],"by":[79],"checking":[80],"distance":[82],"distributions":[84],"improves":[92],"stability":[94],"Network":[101],"achieved":[103],"better":[104],"Fr\u00e9chet":[105],"Inception":[106],"Distance":[107],"score":[108],"generated":[110],"images.":[111],"We":[112,121],"also":[113],"investigated":[114],"suitable":[115],"spectral":[116],"norm":[117],"three":[119],"datasets.":[120],"show":[122],"result":[124],"as":[125],"ablation":[127],"study.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
