Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations

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Grm, Klemen; Štruc, Vitomir; Artiges, Anais; Caron, Matthieu; Ekenel, Hazim Kemal;
  • Related identifiers: doi: 10.1049/iet-bmt.2017.0083
  • Subject: Statistics - Machine Learning

Deep convolutional neural networks (CNNs) based approaches are the state-of-the-art in various computer vision tasks, including face recognition. Considerable research effort is currently being directed towards further improving deep CNNs by focusing on more powerful mo... View more
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  • Related Research Results (1)
    Inferred by OpenAIRE
    face-recog-eval software on GitHub
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