SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...

Abstract: Current Vehicle-to-Everything (V2X) systems have significantly enhanced 3D object detection using LiDAR and camera data. However, they face performance degradation in adverse weather.

3D object detection aims to locate and recognize the object from the point cloud, which is a meaningful and foundation task in autonomous driving. However, the sparsity of the point cloud poses a ...

Label-Efficient 3D Object Detection is a set of techniques designed to train 3D object detection models using minimal labeled data. These methods leverage strategies like semi-supervised learning, ...