Abstract: Traffic surveillance is a key factor in ITS whereby accurate and real-time object detection assures improvement of road safety and traffic management. This paper advances a ...

Abstract: Small object detection is the main challenge for image detection of unmanned aerial vehicles (UAVs), especially with small pixel ratios and blurred boundaries. In this article, a one-stage ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

I have created a new repository of improvements of YOLO3D wrapped in pytorch lightning and more various object detector backbones, currently on development. Please check ruhyadi/yolo3d-lightning.

This project aims to develop an object detection system for architectural floor plans using the YOLOv8 model. The system was trained to detect various elements commonly found in floor plans, such as ...

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines that are difficult to find with standard equipment. The technique focuses ...

The first model in Google's Omni family lets teams generate, revise and edit video through plain-language instructions. It ...

Q.ANT successfully demonstrated a diffusion model and a recurrent neural network on its second-generation Native Processing Unit (NPU) at ISC High Performance 2026 in Hamburg. This proves that Q.ANT’s ...

In a nutshell: A computer vision specialist has built a system that uses deep learning and a laser-based targeting setup to hunt down mosquitoes. Steven Cheng, who works in computer vision and ...

Deploy powerful computer vision instantly. Meet CamThink NeoEyes NE503: a 20 TOPS 4K Edge AI camera featuring open-source ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...