Object detection is a fundamental visual recognition problem in computer vision and has
been widely studied in the past decades. Visual object detection aims to find objects of …

Robust and efficient vehicle detection in monocular vision is an important task in Intelligent
Transportation Systems. With the development of computer vision techniques and …

Object detection, one of the most fundamental and challenging problems in computer vision,
seeks to locate object instances from a large number of predefined categories in natural …

This study investigates an image recognition system for the identification and classification
of waste electrical and electronic equipment from photos. Its main purpose is to facilitate …

Deep learning based image-to-image translation methods aim at learning the joint
distribution of the two domains and finding transformations between them. Despite recent …

Vehicle re-identification (V-reID) has become significantly popular in the community due to
its applications and research significance. In particular, the V-reID is an important problem …

Object detection is a fundamental but challenging issue in the field of generic image
analysis; it plays an important role in a wide range of applications and has been receiving …

Data augmentation plays a crucial role in training a CNN-based detector. Most previous
approaches were based on using a combination of general image-processing operations …

Target detection is one of the most important research directions in computer vision.
Recently, a variety of target detection algorithms have been proposed. Since the targets …

Vehicle re-identification (re-ID) is an area that has received far less attention in the computer
vision community than the prevalent person re-ID. Possible reasons for this slow progress …