PointTransformerV3
PointTransformerV3 offers an efficient approach to 3D point cloud segmentation, providing improved speed and accuracy in semantic segmentation tasks on benchmarks like nuScenes and ScanNet. The project is continually updated in Pointcept v1.5, supplying valuable resources such as model weights and experiment records. Selected for oral presentation at CVPR'24, it utilizes Flash Attention to enhance computational efficiency and support scalable multi-dataset 3D representation learning.
