Object detection is a fundamental but very important task in computer vision. Most current
algorithms require high computing resources, which hinders their deployment on embedded …

Object detection is an essential computer vision task that possesses extensive application
prospects in on-road applications. Copious novel methods have been proposed in this …

Object detection is a valuable but challenging technology in computer vision research.
Although existing methods could attain satisfactory results on high-performance computers …

In the future, Drones or general Unmanned Aerial Vehicles (UAVs) need to implement
online real-time object detection, but their memory and computing power are limited. An …

In computer vision, object detection is one of the most challenging problems. In the one-
stage object detection, YOLOv3 is one of the most popular object detection models. Because …

In the computer vision, YOLO has an important position in the field of object detection, but
due to its speed limitation, it is not suitable for scenes that require extremely strict real-time …

The rapid development and wide utilization of object detection techniques have aroused
attention on both accuracy and speed of object detectors. However, the current state-of-the …

Accurate and real-time object detection is crucial for autonomous vehicles. For in-vehicle
computing platforms, a giant model is difficult to achieve in real time and also increases the …

Supported by the improvement in the computing power of devices and increasing amount of
data is being produced by digital society, the object detection framework based on deep …

The detection of small objects in aerial images is a fundamental task in the field of computer
vision. Moving objects in aerial photography have problems such as different shapes and …