Due to object detection's close relationship with video analysis and image understanding, it
has attracted much research attention in recent years. Traditional object detection methods …

Selection of text feature item is a basic and important matter for text mining and information
retrieval. Traditional methods of feature extraction require handcrafted features. To hand …

This paper presents a real-time face detector, named Single Shot Scale-invariant Face
Detector (S3FD), which performs superiorly on various scales of faces with a single deep …

In this paper, we present a new face detection scheme using deep learning and achieve the
state-of-the-art detection performance on the well-known FDDB face detection benchmark …

The human body contains identity information that can be used for the person recognition
(verification/recognition) problem. In this paper, we propose a person recognition method …

While deep learning based methods for generic object detection have improved rapidly in
the last two years, most approaches to face detection are still based on the R-CNN …

AI is altering not only local and global society, but what it means to be human, or, to be
counted as such. In the midst of concerns about the ethics of AI, calls are emerging for AI to …

Although tremendous strides have been made in face detection, one of the remaining open
challenges is to achieve real-time speed on the CPU as well as maintain high performance …

Face recognition (FR) is one of the most popular and long-standing topics in computer
vision. With the recent development of deep learning techniques and large-scale datasets …

Emerging edge computing platforms often contain machine learning (ML) accelerators that
can accelerate inference for a wide range of neural network (NN) models. These models are …