The Pentagon’s fiscal 2027 budget request is the clearest signal yet that the U.S. Space Force is moving into a new role: ...
Abstract: Tracking small objects in low-light conditions presents significant challenges for multi-object tracking (MOT) methods due to diminished image quality, motion blur, poor contrast, and ...
Track Anything Raptor (TAR) is a ROS2-based aerial vehicle system that detects, segments and tracks objects using multimodal queries (text, images, clicks). TAR leverages pre-trained models (DINO, ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...
Abstract: Hyperspectral camouflaged object tracking remains a significant challenge due to the high similarity between objects and replicas in texture and color. Despite recent progress, the bias ...
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