Object detection has drawn the attention of many researchers due to its wide application in
computer vision-related applications. In this paper, a novel model is proposed for object …

We present a simple yet effective learning technique that significantly improves mAP of
YOLO object detectors without compromising their speed. During network training, we …

In the field of object detection, recently, tremendous success is achieved, but still it is a very
challenging task to detect and identify objects accurately with fast speed. Human beings can …

Object detection is one of the main tasks of computer vision. Object detection algorithms
usually rely on deep convolutional neural networks, which require the host device to have …

We investigate low-complexity convolutional neural networks (CNNs) for object detection for
embedded vision applications. It is well-known that consolidation of an embedded system …

In recent years, there has been significant progress in object detection within the domain of
natural images. However, the field of satellite remote sensing images has consistently …

Military target detection technology is the foundation and key to perceive and analyze the
battlefield situation, and it is also the premise of target tracking technology. Aiming at the …

Object detection, whose main task is to detect objects in a picture to determine the type,
location, and scene to which they belong, has become one of the most central problems in …

In object detection in remote sensing images, owing to the complex background
environment, there are problems of poor robustness to interference and low detection …

Object detection is a critical and complex problem in computer vision, and deep neural
networks have significantly enhanced their performance in the last decade. There are two …