Abstract: Weakly supervised object detection has emerged as a cost-effective and promising solution in remote sensing, as it requires only image-level labels and alleviates the burden of ...

Abstract: Object detection in remote sensing images differs from general object detection in that it faces numerous challenges, such as false alarm interference. However, conventional object detection ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

A new study suggests humans can sense hidden objects without touching them, by detecting faint movements in sand. This unexpected form of “remote touch” challenges traditional ideas about how the ...

AI helped researchers probe the Hubble Space Telescope's archive to find strange celestial objects, including some indescribable by science. When you purchase through links on our site, we may earn an ...