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 ...
Abstract: YOLOv10, known for its efficiency in object detection methods, quickly and accurately detects objects in images. However, when detecting small objects in remote sensing imagery, traditional ...
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 ...
EfficientDet Lite Object Detection with ONNX & TensorRT is a high-performance project designed to implement EfficientDet Lite models (versions 0 to 4) for object detection. Utilizing ONNX for model ...
Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...