… 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 …

… 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 …

… 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 …

… 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 …

… 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 …

… that extends the extremely efficient network ShuffleNetV2 [19] to the domain of face recognition.
… 1.5× highly suitable for real-time or computationally limited face recognition applications. …

… FACE DETECTION AND ALIGNMENT In the face detection part, we used the SVM method
… image in realtime with high accuracy, this work proposed a lightweight emotion recognition (…

… lightweight FR architectures that are accurate and efficient. The resulting GhostFaceNets
models are suited for deployment on real-time … neural network for lightweight face recognition,” …

… in face recognition using lightweight deep networks. Finally, … lightweight face architectures
in specific face recognition … deploy in real-time applications or resource-limited devices. …

… results, these lightweight networks prefer to adopt shallow network architectures to reduce
model … a novel lightweight network, called FDDWNet, for the task of real-time semantic segmen…