ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding

A large number of points, over 0.1 million, make the global self-attention infeasible for point cloud data. Thus, most methods propose to apply the transformer in a local region, e.g., spherical or cubic window.