… (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 …

… 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 …

… 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 …

… 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 …

… models currently achieve human levels of performance on real-world face recognition tasks.
We … We focus on deep learning findings that are relevant for understanding human face …

… Based on the basic network, we develop a coupled deep learning (CDL) framework for
NIR-VIS face recognition. We combine the softmax term with relevance constraints and cross …

… approach for face recognition based on deep learning. The … a specific input image for face
recognition purposes. The training … for face Quality Assessment (QA) based on deep learning. …

… has been provided good solution in terms of recognition performance, as day by … deep
learning based face representation under several different conditions like lower and upper face …

… The entire process of developing a face recognition model is … for face detection and CNN for
generating face embeddings. … of-the-art deep learning approaches for face recognition tasks. …

… , deep learning based face recognition systems are analyzed to investigate if they follow a
similar pattern. In order to understand the behavior of deep learning … -B for face recognition are …