Recently, in the field of face recognition, deep learning has achieved great success.
FaceNet, one of the Google's deep learning frameworks, obtained nearly 100% accuracy in …

Most face recognition networks based on convolutional neural networks are easily affected
by nonlinear factors of expression and posture, and the single task cannot adapt to multi …

With the development of deep learning, the perception of facial image has wide prospects of
application. In a crowded environment, there is a problem that faces cannot be detected due …

With the vigorous development of the new generation of information technology, deep
learning technology based on big data has gradually become one of the mainstream …

As one of the most mature application fields of artificial intelligence, face recognition system
has been widely used in production and life. But at the same time as large-scale …

Low-resolution face recognition is one of the research hotspots of face recognition today. It
can be widely used in face recognition in various scenarios, such as identity verification at …

As an important branch of biometric identification, face recognition technology has a wide
range of application prospects in security field, social network, autonomous driving and …

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 …

Face recognition technology is widely used in various industries with its high recognition
rate and the market size is growing. However, the problem of face recognition with occlusion …

The development of information technology has made the field of deep learning face
recognition develop rapidly. The traditional face detection and recognition algorithm can …