In the realm of computer vision, Deep Convolutional Neural Networks (DCNNs) have
demonstrated excellent performance. Video Processing, Object Detection, Image …

With the rapid development of deep learning techniques, deep convolutional neural
networks (DCNNs) have become more important for object detection. Compared with …

Object detection, as of one the most fundamental and challenging problems in computer
vision, has received great attention in recent years. Over the past two decades, we have …

Deep learning applies multiple processing layers to learn representations of data with
multiple levels of feature extraction. This emerging technique has reshaped the research …

Face detection is one of the important tasks of object detection. Typically detection is the first
stage of pattern recognition and identity authentication. In recent years, deep learning-based …

This paper aims to achieve real-time and accurate detection of surface defects by using a
deep learning method. For this purpose, the Single Shot MultiBox Detector (SSD) network …

In recent years there has been remarkable progress in one computer vision application
area: object detection. One of the most challenging and fundamental problems in object …

The limited capacity to recognise faces under occlusions is a long‐standing problem that
presents a unique challenge for face recognition systems and even humans. The problem …

For object detection, how to address the contradictory requirement between feature map
resolution and receptive field on high-resolution inputs still remains an open question. In this …

The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …