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 ...

Abstract: The swift advancement of UAV technology is accelerating the intelligent transformation of object detection methods. UAV applications now span both civilian and military sectors, playing a ...

Sasha, a yellow Labrador and longtime explosives detection dog at the Texas Capitol, has retired. Texas DPS praised her not only for her skills but also for being a beloved member of their law ...

LampMark is trained using CelebA-HQ and tested on CelebA-HQ and LFW. We do not own the datasets, and they can be downloaded from the official webpages. After splitting the image data following the ...

Background: Accurate sorghum spike detection is critical for monitoring growth conditions, accurately predicting yield, and ensuring food security. Deep learning models have improved the accuracy of ...

Abstract: Small-object detection in uncrewed aerial vehicle (UAV) and remote-sensing imagery remains challenging because targets occupy only a few pixels, features are sparse, objects are often ...

As generative AI technologies continue to advance at a breakneck pace, they bring unprecedented opportunities for personalization and efficiency. However, they also introduce profound risks to ...