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 ...

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 ...

This content was written and submitted by the supplier. It has only been modified to comply with this publication’s space and style. Sesotec continues to drive forward the integration of artificial ...

I am working on an overhead object detection project using images with a resolution of 1280x1024. The objects are generally small (e.g., cars and people). The inference will be performed on the DPU.

Astronomers have identified a repeating radio signal that is also emitting X-rays, a first-of-its-kind observation that may point to an entirely new class of astronomical objects. The object, named ...

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 ...

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 ...