As a self-driving car cruises down a street, it uses cameras and sensors to perceive its environment, taking in information on pedestrians, traffic ...

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...

DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...

⚠️ It is not an official Meta product. This project shows how to track objects in videos using the powerful DINOv3 model. Let's dive in! 🏊‍♂️ ...

Google DeepMind is teaming up with Boston Dynamics to give its humanoid robots the intelligence required to navigate unfamiliar environments and identify and manipulate objects—precisely the kinds of ...

Abstract: Object detection has made remarkable advancement in recent years particularly through CNN-based algorithms, essential for autonomous vehicles. These vehicles need efficient detection systems ...

Abstract: Multi-object detection and tracking are a fundamental task in computer vision, especially in surveillance, autonomous systems, and robotics. YOLOv7, a state-of-the-art real-time object ...