Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model ...

In recent years, the detection for tiny objects in remote sensing images has become a hot research topic. Tiny objects contain a limited number of pixels and are easily confused with the background, ...

Abstract: In the past decade, object detection technology has developed rapidly. However, in the field of unmanned aerial vehicle (UAV) image object detection, challenges such as complex environments, ...

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Law enforcement specialists and independent security testers have expressed alarm about the VA's use of the Evolv Express weapons detection system. (Mary Altaffer/AP) Veterans’ hospitals short on ...

World's largest digital camera likely to discover interstellar objects, millions of asteroids The Vera C. Rubin Observatory in Chile is set to begin its biggest undertaking this fall, with the Legacy ...

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 ...

What if you could transform a static image into a dynamic video, seamlessly swap objects in a photo, or even visualize how a design might evolve over decades, all with just a few clicks? Enter the ...

This documentation assumes basic familiarity with Bittensor concepts. For an introduction, please check out the docs: https://docs.bittensor.com/learn/bittensor ...

Brain tumors pose a critical threat to human health, and early detection is essential for improving patient outcomes. This study presents two key enhancements to the YOLOv11 architecture aimed at ...