PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

Author:

Xie Saining,Gu Jiatao,Guo Demi,Qi Charles R.,Guibas Leonidas,Litany Or

Publisher

Springer International Publishing

Reference81 articles.

1. Achlioptas, P., Diamanti, O., Mitliagkas, I., Guibas, L.: Learning representations and generative models for 3D point clouds. arXiv preprint arXiv:1707.02392 (2017)

2. Armeni, I., et al.: 3D semantic parsing of large-scale indoor spaces. In: ICCV (2016)

3. Bachman, P., Hjelm, R.D., Buchwalter, W.: Learning representations by maximizing mutual information across views. In: NeurIPS (2019)

4. Boulch, A.: ConvPoint: continuous convolutions for point cloud processing. Comput. Graph. 88, 24–34 (2020)

5. Caron, M., Bojanowski, P., Joulin, A., Douze, M.: Deep clustering for unsupervised learning of visual features. In: ECCV (2018)

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