Facial Expression Recognition on Wild and Multi-Label Faces with Deep Learning

dc.authorscopusid57311290500
dc.authorscopusid36782998200
dc.contributor.authorHan, H.
dc.contributor.authorSonmez, E.B.
dc.date.accessioned2024-07-18T20:17:05Z
dc.date.available2024-07-18T20:17:05Z
dc.date.issued2023
dc.descriptionAksaray University;IEEE Seccion Espana;University de La Lagunaen_US
dc.description2023 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 -- 19 July 2023 through 21 July 2023 -- -- 192890en_US
dc.description.abstractThe analysis of facial expressions is a powerful tool to decode nonverbal behavior in humans. Due to its importance, several studies have already been done in the past. However, facial expression recognition on wild and multi-label faces is under-investigated also due to the limited number of available databases. This paper fills in the current lack by challenging the RAF-ML dataset and fixing the state-of-the-art performance of 50.5% on the "single label experiment". The proposed method is also tested in a second experiment, suggested by this work, which considers only wild faces having a dominant expression. The benchmark performance for the second trial is 56.1%. The deep-learning algorithms presented in this work are described in detail to facilitate their reproduction. © 2023 IEEE.en_US
dc.identifier.doi10.1109/ICECCME57830.2023.10253453
dc.identifier.isbn9798350322972
dc.identifier.scopus2-s2.0-85174021447en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ICECCME57830.2023.10253453
dc.identifier.urihttps://hdl.handle.net/11411/6406
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofInternational Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeep Learningen_US
dc.subjectFacial Expression Recognitionen_US
dc.subjectMulti-Label Classificationen_US
dc.subjectBenchmarkingen_US
dc.subjectCell Proliferationen_US
dc.subjectClassification (Of İnformation)en_US
dc.subjectDeep Learningen_US
dc.subjectLearning Algorithmsen_US
dc.subjectCurrenten_US
dc.subjectDeep Learningen_US
dc.subjectFacial Expression Recognitionen_US
dc.subjectFacial Expressionsen_US
dc.subjectMulti-Label Classificationsen_US
dc.subjectMulti-Labelsen_US
dc.subjectNon-Verbal Behavioursen_US
dc.subjectState-Of-The-Art Performanceen_US
dc.subjectFace Recognitionen_US
dc.titleFacial Expression Recognition on Wild and Multi-Label Faces with Deep Learning
dc.typeConference Object

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