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    LightFace: A Hybrid Deep Face Recognition Framework
    (Institute of Electrical and Electronics Engineers Inc., 2020) Serengil, S.I.; Özpınar, Alper
    Face 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.