Abstract: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...

Alphabet’s Intrinsic robotics unit moves into Google, linking DeepMind, Gemini, and Cloud to speed physical AI deployments in factories and logistics.

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

When building AI, you change many things at once: code, data, prompts, models. After a few runs, it becomes unclear what actually caused results to improve or regress. LitLogger records every run as ...

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 ...

Abstract: In this paper, we propose a new method for handwriting text detection using the YOLOV5 object detection neural network. Our approach accurately identifies text sequences regardless of ...