{"id":"https://openalex.org/W3117929896","doi":"https://doi.org/10.1109/ictc49870.2020.9289404","title":"Where to Cut and Paste: Data Regularization with Selective Features","display_name":"Where to Cut and Paste: Data Regularization with Selective Features","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3117929896","doi":"https://doi.org/10.1109/ictc49870.2020.9289404","mag":"3117929896"},"language":"en","primary_location":{"id":"doi:10.1109/ictc49870.2020.9289404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5063067837","display_name":"Jiyeon Kim","orcid":"https://orcid.org/0000-0002-7535-380X"},"institutions":[{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]},{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jiyeon Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Korea","University of Science and Technology, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"University of Science and Technology, Daejeon, Korea","institution_ids":["https://openalex.org/I88761825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082038505","display_name":"Ik-Hee Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]},{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ik-Hee Shin","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Korea","University of Science and Technology, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"University of Science and Technology, Daejeon, Korea","institution_ids":["https://openalex.org/I88761825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027123713","display_name":"Lee Jong-Ryul","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Ryul Lee","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101403699","display_name":"Yong-Ju Lee","orcid":"https://orcid.org/0000-0001-9308-233X"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]},{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong-Ju Lee","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Korea","University of Science and Technology, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"University of Science and Technology, Daejeon, Korea","institution_ids":["https://openalex.org/I88761825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063067837"],"corresponding_institution_ids":["https://openalex.org/I142401562","https://openalex.org/I88761825"],"apc_list":null,"apc_paid":null,"fwci":0.1962,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.52542485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"2020","issue":null,"first_page":"1219","last_page":"1221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.7717442512512207},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7164590954780579},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6848704814910889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6558400988578796},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5307258367538452},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5082668662071228},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.50156569480896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4758412837982178},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4228241443634033},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.41475555300712585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3947082757949829},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2864937484264374},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2805255055427551}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7717442512512207},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7164590954780579},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6848704814910889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6558400988578796},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5307258367538452},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5082668662071228},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.50156569480896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4758412837982178},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4228241443634033},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.41475555300712585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3947082757949829},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2864937484264374},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2805255055427551},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ictc49870.2020.9289404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"},{"id":"mag:3163232468","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202102242978696892","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2095705004","https://openalex.org/W2746314669","https://openalex.org/W2765407302","https://openalex.org/W2890166761","https://openalex.org/W2899771611","https://openalex.org/W2909351901","https://openalex.org/W2944223741","https://openalex.org/W2952634764","https://openalex.org/W2962858109","https://openalex.org/W2992308087","https://openalex.org/W3013431607","https://openalex.org/W3015233197","https://openalex.org/W3102564565","https://openalex.org/W6674330103","https://openalex.org/W6743428213","https://openalex.org/W6745136726","https://openalex.org/W6754484989","https://openalex.org/W6756040250","https://openalex.org/W6766263406"],"related_works":["https://openalex.org/W3128220493","https://openalex.org/W4298017035","https://openalex.org/W2792147139","https://openalex.org/W4226354336","https://openalex.org/W3110700750","https://openalex.org/W2998675825","https://openalex.org/W2736804899","https://openalex.org/W2897443685","https://openalex.org/W4307654087","https://openalex.org/W2951100320"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2],"networks":[3],"are":[4,64],"continually":[5],"evolving":[6],"through":[7],"various":[8,131],"effective":[9,33],"training":[10],"methods":[11,41,134],"such":[12,25,40],"as":[13,26],"data":[14,17,110,132,156],"augmentation.":[15],"Among":[16],"augmentation":[18,111,133,157],"methods,":[19],"regional":[20],"dropout":[21],"or":[22,100],"replacement":[23],"strategies":[24],"[3],":[27],"[4],":[28],"[5]":[29],"have":[30,144],"been":[31],"proved":[32],"in":[34,149,151],"recognition":[35],"and":[36,54,67,129,138],"localization":[37],"performance.":[38],"However,":[39],"suffer":[42],"from":[43],"unintended":[44],"content":[45],"corruption":[46],"like":[47],"informative":[48,76,118],"pixel":[49],"loss.":[50],"For":[51],"example,":[52],"cutting":[53],"pasting":[55],"a":[56,70,108],"random":[57],"patch":[58,73],"may":[59],"consist":[60],"of":[61,75,85,90,140],"areas":[62],"that":[63,146],"not":[65],"important":[66],"even":[68],"if":[69],"new":[71,109],"cutout":[72],"consists":[74],"pixels,":[77],"it":[78],"could":[79],"be":[80],"pasted":[81],"at":[82],"useful":[83],"locations":[84],"input":[86],"covering":[87],"the":[88,91],"interest":[89],"object.":[92],"Therefore,":[93],"this":[94],"operation":[95],"can":[96],"cause":[97],"too":[98],"much":[99],"meaningless":[101],"regularization.":[102],"Motivated":[103],"by":[104],"this,":[105],"we":[106,127,143],"propose":[107],"method":[112],"strategy,":[113],"called":[114],"FocusMix,":[115],"which":[116],"exploits":[117],"pixels":[119],"based":[120],"on":[121],"proper":[122],"sampling":[123],"techniques.":[124],"Through":[125],"experiments,":[126],"analyzed":[128],"compared":[130,153],"to":[135,154],"provide":[136],"improvements":[137,150],"effectiveness":[139],"FocusMix.":[141],"Finally,":[142],"shown":[145],"FocusMix":[147],"results":[148],"performance":[152],"other":[155],"methods.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}