Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds

Author:

Huang Siyuan1,Xie Yichen2,Zhu Song-Chun3,Zhu Yixin3

Affiliation:

1. University of California,Los Angeles

2. Shanghai Jiao Tong University

3. Beijing Institute for General Artificial Intelligence

Publisher

IEEE

Reference80 articles.

1. Pointcontrast: Unsupervised pretraining for 3d point cloud understanding;xie;Proceedings of European Conference on Computer Vision (ECCV),2020

2. A theory of generative convnet;xie;Proceedings of International Conference on Machine Learning (ICML),2016

3. 3d shapenets: A deep representation for volumetric shapes;wu;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2015

4. PointConv: Deep Convolutional Networks on 3D Point Clouds

5. Scaling sgd batch size to 32k for imagenet training;you;arXiv preprint arXiv 1708 03359,2017

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