In this paper, we present a new compression algorithm for live face recognition models.
Firstly, a VGG11 convolutional neural network is improved based on depth-separable …

In the contactless delivery scenario, the self‐pickup cabinet is an important terminal delivery
device, and face recognition is one of the efficient ways to achieve contactless access …

To improve the speed of querying the relevant information of the face by inputting the face
image puts forward a face recognition method of numerical value based on the face facial …

According to the requirements of face recognition with masks in epidemic environment, this
paper analyzes the difficulties of face recognition with masks, and puts forward a scheme …

In this paper, we present a new face detection scheme using deep learning and achieving
state-of-the-art recognition performance using real-world datasets. We designed and …

In recent years, face detection and recognition technology has been widely used in many
important scenarios, especially for automatic driving scenarios and future Internet of …

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 …

As people's requirements for applications are getting higher and higher, the recognition of
facial features has been paid more and more attention. The current facial feature recognition …

Although the face recognition method for in-depth learning has high accuracy, the model is
complex and the recognition speed is slow. In order to realize real-time face recognition of …

In order to further improve the ability of automatic feature extraction of deep learning
technology and better solve the problem of system recognition ability declining when the …