{"id":"https://openalex.org/W2799709780","doi":"https://doi.org/10.1109/icassp.2018.8461700","title":"Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks","display_name":"Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2799709780","doi":"https://doi.org/10.1109/icassp.2018.8461700","mag":"2799709780"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5036610186","display_name":"Inhyuk Jo","orcid":null},"institutions":[{"id":"https://openalex.org/I2799891827","display_name":"Korea Post","ror":"https://ror.org/00p45d091","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799891827","https://openalex.org/I2801339556","https://openalex.org/I4387152098"]},{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Inhyuk Jo","raw_affiliation_strings":["Department of Computer Science and Engineering, POSTECH, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, POSTECH, Korea","institution_ids":["https://openalex.org/I2799891827","https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034182318","display_name":"Jungtaek Kim","orcid":"https://orcid.org/0000-0002-1905-1399"},"institutions":[{"id":"https://openalex.org/I2799891827","display_name":"Korea Post","ror":"https://ror.org/00p45d091","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799891827","https://openalex.org/I2801339556","https://openalex.org/I4387152098"]},{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungtaek Kim","raw_affiliation_strings":["Department of Computer Science and Engineering, POSTECH, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, POSTECH, Korea","institution_ids":["https://openalex.org/I2799891827","https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039587531","display_name":"Hyohyeong Kang","orcid":"https://orcid.org/0000-0002-5028-9813"},"institutions":[],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyohyeong Kang","raw_affiliation_strings":["Device Solutions, Software R&D Center, Korea"],"affiliations":[{"raw_affiliation_string":"Device Solutions, Software R&D Center, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064672018","display_name":"Yong\u2010Deok Kim","orcid":"https://orcid.org/0000-0002-5807-7487"},"institutions":[],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong-Deok Kim","raw_affiliation_strings":["Device Solutions, Software R&D Center, Korea"],"affiliations":[{"raw_affiliation_string":"Device Solutions, Software R&D Center, Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066405061","display_name":"Seungjin Choi","orcid":"https://orcid.org/0000-0002-7873-4616"},"institutions":[{"id":"https://openalex.org/I2799891827","display_name":"Korea Post","ror":"https://ror.org/00p45d091","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799891827","https://openalex.org/I2801339556","https://openalex.org/I4387152098"]},{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungjin Choi","raw_affiliation_strings":["Department of Computer Science and Engineering, POSTECH, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, POSTECH, Korea","institution_ids":["https://openalex.org/I2799891827","https://openalex.org/I123900574"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.988,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":36,"citation_normalized_percentile":{"value":0.745788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection in High-Dimensional Data","score":0.9999,"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 in High-Dimensional Data","score":0.9999,"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 Image Forgery Detection and Identification","score":0.999,"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 in Image Processing","score":0.9926,"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/generative-adversarial-networks","display_name":"Generative Adversarial Networks","score":0.614977},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5616274},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised Learning","score":0.554186},{"id":"https://openalex.org/keywords/representation-learning","display_name":"Representation Learning","score":0.538862},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5186402},{"id":"https://openalex.org/keywords/conditional-generative-models","display_name":"Conditional Generative Models","score":0.507296},{"id":"https://openalex.org/keywords/resampling-detection","display_name":"Resampling Detection","score":0.505382}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.81455725},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.70828605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7034221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.69253194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6502951},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6324582},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5616274},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5186402},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4186145},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3076856}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.42,"id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":31,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1959608418","https://openalex.org/W2081604642","https://openalex.org/W2097117768","https://openalex.org/W2099471712","https://openalex.org/W2100332042","https://openalex.org/W2115627867","https://openalex.org/W2119880843","https://openalex.org/W2163605009","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2401231614","https://openalex.org/W2554314924","https://openalex.org/W2585630030","https://openalex.org/W2599354622","https://openalex.org/W2626967530","https://openalex.org/W2751842161","https://openalex.org/W2962835968","https://openalex.org/W2963149653","https://openalex.org/W2963238274","https://openalex.org/W2963373786","https://openalex.org/W2963865839","https://openalex.org/W2964059111","https://openalex.org/W2964121744","https://openalex.org/W2964212410","https://openalex.org/W4293320219","https://openalex.org/W4295274059","https://openalex.org/W4295521014","https://openalex.org/W4311415873","https://openalex.org/W4320013936","https://openalex.org/W55606816"],"related_works":["https://openalex.org/W4321789545","https://openalex.org/W4297051394","https://openalex.org/W3131327266","https://openalex.org/W3013693939","https://openalex.org/W2752972570","https://openalex.org/W2734887215","https://openalex.org/W2566616303","https://openalex.org/W2502115930","https://openalex.org/W2159052453","https://openalex.org/W2145836866"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,45],"new":[3],"method":[4],"to":[5,24,28,65,68,73],"generate":[6,25],"fake":[7,58,87],"data":[8,29,54,83],"in":[9,12,20,30,60],"unknown":[10,61,76,88,100],"classes":[11,32,62,89,101,108],"generative":[13],"adversarial":[14],"networks":[15],"(GANs)":[16],"framework.":[17],"The":[18,52],"generator":[19],"GANs":[21],"is":[22,109],"trained":[23],"somewhat":[26],"similar":[27],"known":[31,107],"but":[33],"the":[34,66,74,93,96,103],"different":[35],"one":[36],"by":[37],"modelling":[38],"noisy":[39],"distribution":[40],"on":[41,98],"feature":[42],"space":[43],"of":[44,95,106],"classifier":[46,67,97],"using":[47],"proposed":[48],"marginal":[49],"denoising":[50],"autoencoder.":[51],"generated":[53],"are":[55],"treated":[56],"as":[57,86],"instances":[59],"and":[63,90],"given":[64],"make":[69],"it":[70],"be":[71],"robust":[72],"real":[75,99],"classes.":[77],"Our":[78],"results":[79],"show":[80],"that":[81],"synthetic":[82],"can":[84],"act":[85],"keep":[91],"down":[92],"certainty":[94],"meanwhile":[102],"classification":[104],"capability":[105],"not":[110],"degenerated,":[111],"even":[112],"improved.":[113]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2799709780","counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6}],"updated_date":"2024-11-30T19:19:58.500607","created_date":"2018-05-17"}