Road accidents often stem from failing to notice vehicles. A study published in the journal IEEE Open Journal of Intelligent ...

Detecting objects in foggy scenes remains a persistent challenge, as detectors trained for fair weather often struggle with foggy data due to blurring effects. Previous methods based on domain ...

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 ...

Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...

Abstract: Object detection in autonomous driving scenarios represents a significant research direction within artificial intelligence. Real-time and accurate object detection and recognition are ...

This project demonstrates a real-time face detection system built using Python and OpenCV. It captures live video from your webcam, processes each frame, and detects human faces using the Haar Cascade ...

We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...