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 …

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 …

Face detection is a crucial first step in many facial recognition and face analysis systems.
Early approaches for face detection were mainly based on classifiers built on top of hand …

In the field of artificial intelligence, human–computer interaction (HCI) technology and its
related intelligent robot technologies are essential and interesting contents of research …