… overview of face recognition, an overview of the field of representation learning and deep
learning, a look at how those fields are influencing the state-of-the-art of face recognition, and …

… for face recognition rather than investigate the reason. In this work, we conduct an extensive
evaluation of CNN-based face recognition … adverse effect on face recognition accuracy. In …

… (iv) The VGG-Face model [21] is shown to be more transferable compared to … deep learning
based face recognition requires further research to address the problem of face recognition …

… its low recognition accuracy and restrictions of many occasions. In this paper, we presented
… deep learning method to achieve facial landmark detection and unrestricted face recognition…

… of face recognition (FR) since 2014, launched by the breakthroughs of DeepFace and DeepID.
Since then, deep learning … to stitch together pixels into invariant face representation, has …

… on more recently proposed deep learning methods, which were developed in response to
the limitations of HoG and Haar wavelet features in capturing salient facial information under …

… detection and face identification. This paper describes the … a face recognition system through
deep learning using OpenCV in python. Deep learning is an approach to perform the face …

… This paper focuses on face recognition in images and videos, a problem that has received
… do not use deep learning, which we refer as “shallow”, from ones that do, that we call “deep”. …

… deep models for face recognition in images and videos, we have also compared recent …
for face recognition. Keywords: Deep Neural Network, 2D Face, 3D-Face, Data sets, Face …

… techniques have recently been superseded by deep … face recognition methods including
both traditional (geometry-based, holistic, featurebased and hybrid methods) and deep learning …