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 …

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 …

Object detection is one of the most important and challenging branches of computer vision,
which has been widely applied in people's life, such as monitoring security, autonomous …

Abstract Knowledge distillation is a widely used paradigm for inheriting information from a
complicated teacher network to a compact student network and maintaining the strong …

A challenging and attractive task in computer vision is underwater object detection. Although
object detection techniques have achieved good performance in general datasets, problems …

Real-time generic object detection on mobile platforms is a crucial but challenging computer
vision task. Prior lightweight CNN-based detectors are inclined to use one-stage pipeline. In …

Object detection can be regarded as one of the most fundamental and challenging visual
recognition task in computer vision and it has received great attention over the past few …

Deep learning models are widely being employed for object detection due to their high
performance. However, the majority of applications that require object detection are …

Cloud computing has been a main-stream computing service for years. Recently, with the
rapid development in urbanization, massive video surveillance data are produced at an …

Object detection is the most important problem in computer vision tasks. After AlexNet
proposed, based on Convolutional Neural Network (CNN) methods have become …