Deep learning has become the main solution for face recognition applications due to its high
accuracy and robustness. In recent years, a batch of research on lightweight convolutional …

The recent success of convolutional neural networks has led to the development of a variety
of new effective and efficient architectures. However, few of them have been designed for …

Face recognition algorithms based on deep learning methods have become increasingly
popular. Most of these are based on highly precise but complex convolutional neural …

Deep neural networks have been widely used in numerous computer vision applications,
particularly in face recognition. However, deploying deep neural network face recognition on …

A practical deep learning face recognition system can be divided into several tasks. These
tasks can be time‐consuming if each task is executed with the original image as the input …

With the development of society, deep learning has been widely used in object detection,
face recognition, speech recognition, and other fields. Among them, object detection is a …

Robust face representation is imperative to highly accurate face recognition. In this work, we
propose an open source face recognition method with deep representation named as …

Abstract The Convolutional Neural Network (CNN) based on deep learning is introduced to
propose two deep face detection algorithms and design an embedded face recognition …

Purpose: Due to the lack of prior knowledge of face images, large illumination changes, and
complex backgrounds, the accuracy of face recognition is low. To address this issue, we …

Over the past few decades, interest in algorithms for face recognition has been growing
rapidly and has even surpassed human-level performance. Despite their accomplishments …