LightFace: A Hybrid Deep Face Recognition Framework

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dc.contributor.authorSerengil, S.I.
dc.contributor.authorÖzpınar, Alper
dc.date.accessioned2021-01-25T21:48:05Z
dc.date.available2021-01-25T21:48:05Z
dc.date.issued2020
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 -- 15 October 2020 through 17 October 2020 -- -- 165305en_US
dc.description.abstractFace recognition constitutes a relatively a popular area which has emerged from the rulers of the social media to top universities in the world. Those frontiers and rule makers recently designed deep learning based custom face recognition models. A modern face recognition pipeline consists of four common stages: detecting, alignment, representation and verification. However, face recognition studies mainly mention the representation stage of a pipeline. In this paper, first of all a review face recognition has been done and then the description of the developed lightweight hybrid high performance face recognition framework has been made. Its hybrid feature enables to switch face recognition models among state-of-the-art ones. © 2020 IEEE.en_US
dc.identifier.doi10.1109/ASYU50717.2020.9259802en_US
dc.identifier.isbn9781730000000
dc.identifier.scopus2-s2.0-85097928269en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ASYU50717.2020.9259802
dc.identifier.urihttps://hdl.handle.net/11467/4510
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcomputer visionen_US
dc.subjectdeep learningen_US
dc.subjectface recognitionen_US
dc.subjectmachine learningen_US
dc.subjectsoftware frameworken_US
dc.titleLightFace: A Hybrid Deep Face Recognition Frameworken_US
dc.typeConference Objecten_US

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