… solutions for face recognition based on neural networks have … propose a lightweight face
feature learning network with a … a complete face recognition system with the proposed network …

… The objective of this study is to reduce the size of the recognition network for face recognition
without compromising its accuracy. To achieve this goal, the paper proposes a model that …

… dataset to train a deep network for face recognition. The fine tuned CNN-… in real-time. All
facial features are represented with 133 points in total and were used for real-time face detection …

… verification and achieves 99.55% accuracy on LFW [2]; it is also able to run on mobile
phones or embedded devices in real time. MobiFace [29] replaces the global depthwise …

… creating a real-time vision system. This system employs multi-task cascaded convolutional
networks (MTCNN) to complete face detection and transmit the obtained face coordinates to …

… has demonstrated the lightweight and real-time performance of … Then we use neural network
to perform face recognition on … with the face recognition algorithm based on deep learning …

… Therefore in such way we can create an intelligent Internet of things infrastructure, in
which detection results would be shared between devices in real time so that users could …

… Figure 10 illustrates the real-time processing … -based human face recognition system. From
the acquisition of an optical camera in real-time, the raw input for our system is the face image …

… is useful to improve video-based face recognition. After the extensive exploration of the
network and loss designs, we will try pruning and quantization for lightweight face recognition in …

… Our pre-processing pipeline includes face detection and cropping on images which can …
The network structure of both VGG-Face and our modified version can be seen in Fig. 2. …