Rethinking local-to-global representation learning for rotation-invariant point cloud analysis

Author:

Wang ZhaoxuanORCID,Yu Yunlong,Li Xianzhi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference54 articles.

1. C.R. Qi, H. Su, K. Mo, L.J. Guibas, PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017, pp. 652–660.

2. PointNet++: Deep hierarchical feature learning on point sets in a metric space;Qi;Adv. Neural Inf. Process. Syst.,2017

3. Dynamic graph CNN for learning on point clouds;Wang;ACM Trans. Graph.,2019

4. PointCNN: Convolution on χ-transformed points;Li;Adv. Neural Inf. Process. Syst.,2018

5. PCT: Point cloud transformer;Guo;Comput. Vis. Media,2021

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