When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition

@article{Hu2015WhenFR,
  title={When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition},
  author={Guosheng Hu and Yongxin Yang and Dong Yi and Josef Kittler and William J. Christmas and Stan Z. Li and Timothy M. Hospedales},
  journal={2015 IEEE International Conference on Computer Vision Workshop (ICCVW)},
  year={2015},
  pages={384-392}
}
Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising results in face recognition recently. However, it remains an open question: why CNNs work well and how to design a 'good' architecture. The existing works tend to focus on reporting CNN architectures that work well for face recognition rather than investigate the reason. In this work, we conduct an extensive evaluation of CNN-based face recognition systems (CNN-FRS) on a common ground to make our work easily… CONTINUE READING
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