{"id":"https://openalex.org/W4402742491","doi":"https://doi.org/10.1109/tcds.2024.3465602","title":"Enhancing Dimensional Image Emotion Detection With a Low-Resource Dataset via Two-Stage Training","display_name":"Enhancing Dimensional Image Emotion Detection With a Low-Resource Dataset via Two-Stage Training","publication_year":2024,"publication_date":"2024-09-23","ids":{"openalex":"https://openalex.org/W4402742491","doi":"https://doi.org/10.1109/tcds.2024.3465602"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2024.3465602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2024.3465602","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental Systems","raw_type":"journal-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/A5008287036","display_name":"SangEun Lee","orcid":"https://orcid.org/0000-0002-3828-6601"},"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":true,"raw_author_name":"SangEun Lee","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Gyeonggi, Korea"],"raw_orcid":"https://orcid.org/0000-0002-3828-6601","affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Gyeonggi, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029929248","display_name":"Seoyun Kim","orcid":"https://orcid.org/0000-0001-5740-897X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seoyun Kim","raw_affiliation_strings":["Korea Aerospace Industries, Ltd., Seoul, Korea"],"raw_orcid":"https://orcid.org/0000-0001-5740-897X","affiliations":[{"raw_affiliation_string":"Korea Aerospace Industries, Ltd., Seoul, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089930506","display_name":"Yubeen Lee","orcid":"https://orcid.org/0009-0008-4419-9185"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yubeen Lee","raw_affiliation_strings":["Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Korea"],"raw_orcid":"https://orcid.org/0009-0008-4419-9185","affiliations":[{"raw_affiliation_string":"Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089409678","display_name":"Jufeng Yang","orcid":"https://orcid.org/0000-0003-0219-3443"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jufeng Yang","raw_affiliation_strings":["College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-0219-3443","affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047279790","display_name":"Eunil Park","orcid":"https://orcid.org/0000-0002-3177-3538"},"institutions":[{"id":"https://openalex.org/I10902133","display_name":"Universitat Jaume I","ror":"https://ror.org/02ws1xc11","country_code":"ES","type":"education","lineage":["https://openalex.org/I10902133"]},{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["ES","KR"],"is_corresponding":false,"raw_author_name":"Eunil Park","raw_affiliation_strings":["Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Korea","Department of Computer Science and Engineering, Jaume I University, Castellon, Spain"],"raw_orcid":"https://orcid.org/0000-0002-3177-3538","affiliations":[{"raw_affiliation_string":"Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Jaume I University, Castellon, Spain","institution_ids":["https://openalex.org/I10902133"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008287036"],"corresponding_institution_ids":["https://openalex.org/I142401562"],"apc_list":null,"apc_paid":null,"fwci":0.4705,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6546841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"17","issue":"3","first_page":"455","last_page":"464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.7878000140190125,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.7878000140190125,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.7799000144004822,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.7494000196456909,"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":0.8535776138305664},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5990195274353027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5238768458366394},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5009276866912842},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48345503211021423},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4303596317768097},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40081533789634705},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38598158955574036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8535776138305664},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5990195274353027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5238768458366394},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5009276866912842},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48345503211021423},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4303596317768097},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40081533789634705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38598158955574036},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2024.3465602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2024.3465602","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G6788983144","display_name":null,"funder_award_id":"RS-2024-00451909","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1950412479","https://openalex.org/W1976344353","https://openalex.org/W2003653478","https://openalex.org/W2003856922","https://openalex.org/W2055894321","https://openalex.org/W2075456404","https://openalex.org/W2075539321","https://openalex.org/W2085940040","https://openalex.org/W2086399953","https://openalex.org/W2105931454","https://openalex.org/W2118526556","https://openalex.org/W2149628368","https://openalex.org/W2153049579","https://openalex.org/W2164186291","https://openalex.org/W2194775991","https://openalex.org/W2347880541","https://openalex.org/W2403015048","https://openalex.org/W2517991028","https://openalex.org/W2531468424","https://openalex.org/W2604773025","https://openalex.org/W2741561025","https://openalex.org/W2770602608","https://openalex.org/W2793857798","https://openalex.org/W2798357113","https://openalex.org/W2889004077","https://openalex.org/W2908347420","https://openalex.org/W2952131827","https://openalex.org/W2963460174","https://openalex.org/W2963464104","https://openalex.org/W2963992782","https://openalex.org/W2964167669","https://openalex.org/W3003048870","https://openalex.org/W3093162393","https://openalex.org/W3174134652","https://openalex.org/W3205730621","https://openalex.org/W3206577156","https://openalex.org/W3210160883","https://openalex.org/W4206565514","https://openalex.org/W4213038860","https://openalex.org/W4213440220","https://openalex.org/W4251591997","https://openalex.org/W4298372712","https://openalex.org/W4312755707","https://openalex.org/W4313524080","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W2329386257","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W2495260952","https://openalex.org/W4366179611"],"abstract_inverted_index":{"Image":[0],"emotion":[1,32,96,116],"analysis":[2],"has":[3],"gained":[4],"notable":[5],"attention":[6],"owing":[7],"to":[8,55,94,113],"the":[9,24,42,67,103,119,135,140,159],"growing":[10],"importance":[11],"of":[12,46,69,88,121,139,153],"computationally":[13],"modeling":[14],"human":[15,47],"emotions.":[16],"Most":[17],"previous":[18],"studies":[19,50],"have":[20,51],"focused":[21],"on":[22],"classifying":[23],"feelings":[25],"evoked":[26],"by":[27],"an":[28],"image":[29,101],"into":[30],"predefined":[31],"categories.":[33],"Compared":[34],"with":[35,79,134],"these":[36,57],"categorical":[37,82,92,122],"approaches":[38,54],"which":[39],"cannot":[40],"address":[41,56],"ambiguity":[43],"and":[44],"complexity":[45],"emotions,":[48],"recent":[49],"taken":[52],"dimensional":[53,70,141,154],"problems.":[58],"However,":[59],"there":[60],"is":[61,72,111],"still":[62],"a":[63,99,131,150],"limitation":[64],"in":[65,102],"that":[66,90,127],"number":[68,152],"datasets":[71,93,155],"significantly":[73],"smaller":[74],"for":[75,98,158],"model":[76],"training,":[77],"compared":[78],"many":[80],"available":[81,157],"datasets.":[83],"We":[84],"propose":[85],"four":[86],"types":[87],"frameworks":[89],"use":[91],"predict":[95,114],"values":[97,117,138],"given":[100],"valence\u2013arousal":[104],"(VA)":[105],"space.":[106],"Specifically,":[107],"our":[108,128,145],"proposed":[109],"framework":[110,146],"trained":[112],"continuous":[115],"under":[118],"supervision":[120],"labels.":[123],"Extensive":[124],"experiments":[125],"demonstrate":[126],"approach":[129],"showed":[130],"positive":[132],"correlation":[133],"actual":[136],"VA":[137],"dataset.":[142],"In":[143],"addition,":[144],"improves":[147],"further":[148],"when":[149],"small":[151],"are":[156],"fine-tuning":[160],"process.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
