Improving Multi-scale Face Recognition Using VGGFace2

  title={Improving Multi-scale Face Recognition Using VGGFace2},
  author={Fabio Valerio Massoli and G. Amato and F. Falchi and C. Gennaro and Claudio Vairo},
  booktitle={ICIAP Workshops},
  • Fabio Valerio Massoli, G. Amato, +2 authors Claudio Vairo
  • Published in ICIAP Workshops 2019
  • Computer Science
  • Convolutional neural networks have reached extremely high performances on the Face Recognition task. These models are commonly trained by using high-resolution images and for this reason, their discrimination ability is usually degraded when they are tested against low-resolution images. Thus, Low-Resolution Face Recognition remains an open challenge for deep learning models. Such a scenario is of particular interest for surveillance systems in which it usually happens that a low-resolution… CONTINUE READING
    4 Citations

    Figures and Tables from this paper.


    Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture
    • 24
    • PDF
    A Discriminative Feature Learning Approach for Deep Face Recognition
    • 1,643
    • PDF
    VGGFace2: A Dataset for Recognising Faces across Pose and Age
    • 735
    • Highly Influential
    • PDF
    Very low resolution face recognition problem
    • W. W. Zou, P. Yuen
    • Computer Science, Medicine
    • 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)
    • 2010
    • 322
    • PDF
    Face Super-Resolution Guided by Facial Component Heatmaps
    • 55
    • PDF
    Deep Residual Learning for Image Recognition
    • 53,474
    • PDF
    Simultaneous Hallucination and Recognition of Low-Resolution Faces Based on Singular Value Decomposition
    • M. Jian, K. Lam
    • Mathematics, Computer Science
    • IEEE Transactions on Circuits and Systems for Video Technology
    • 2015
    • 78
    • PDF
    Squeeze-and-Excitation Networks
    • Jie Hu, L. Shen, Gang Sun
    • Computer Science
    • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • 2018
    • 1,497
    • PDF
    Super-Identity Convolutional Neural Network for Face Hallucination
    • 44
    • PDF