Abstract: Traditional object detection models often lose the detailed outline information of the object. To address this problem, we propose the Fourier Series Object Detection (FSD). It encodes the ...

The DINOv3 codebase includes several task-specific heads for a variety of tasks, including classification, depth estimation, object detection, and semantic segmentation. The initial focus of this ...

The inherent noisy and sparse characteristics of radar data pose challenges in finding effective representations for 3D object detection. In this paper, we propose RadarDistill, a novel knowledge ...

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel solution is based on a low power ...

Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors. Physicists have created a new type of radar that could help improve underground imaging, using a cloud of ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Pycharm Tutorial for python development! In this video I will explaining how to use the pycharm IDE. Pycharm is an extremely powerful and useful IDE for python and can save you tons of time if you ...

A team of astronomers using the Australian Square Kilometre Array Pathfinder (ASKAP) radio telescope have detected a mysterious, almost perfectly spherical object in deep space. Named Teleios, Greek ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...