1. 3D ShapeNets: a deep representation for volumetric shapes;Wu,2015
2. SRINet: learning strictly rotation-invariant representations for point cloud classification and segmentation;Sun,2019
3. PointNet: deep learning on point sets for 3D classification and segmentation;Qi,2017
4. PointCNN: convolution on X-transformed points;Li,2018
5. M. Jiang, Y. Wu, C. Lu, PointSIFT: A SIFT-like network module for 3D point cloud semantic segmentation, arXiv preprint arXiv:1807.00652(2018).