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In this paper, we propose a simple and general framework for self-supervised point cloud representation learning.
Model compression
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Iro Armeni, Ozan Sener, Amir R Zamir, Helen Jiang, Ioannis Brilakis, Martin Fischer, and Silvio Savarese · 2016
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Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Bo Yang, Xiao Fu, Nicholas D Sidiropoulos, and Mingyi Hong · 2017
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Learning representations and generative models for 3d point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas Guibas · 2018
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Jiaxin Li, Ben M Chen, and Gim Hee Lee · 2018
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Pointcnn: Convolution on x-transformed points
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Foldingnet: Point cloud auto-encoder via deep grid deformation
Yaoqing Yang, Chen Feng, Yiru Shen, and Dong Tian · 2018
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Variational information distillation for knowledge transfer
Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D Lawrence, and Zhenwen Dai · 2019
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Learning to match 2d images and 3d lidar point clouds for outdoor augmented reality
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Self-supervised learning of point clouds via orientation estimation
Omid Poursaeed, Tianxing Jiang, Han Qiao, Nayun Xu, and Vladimir G Kim · 2020
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Global-local bidirectional reasoning for unsupervised representation learning of 3d point clouds
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Grasping pose estimation for scara robot based on deep learning of point cloud
Zhengtuo Wang, Yuetong Xu, Quan He, Zehua Fang, Guanhua Xu, and Jianzhong Fu · 2020
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Knowledge distillation meets self-supervision
Guodong Xu, Ziwei Liu, Xiaoxiao Li, and Chen Change Loy · 2020
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Zhizhong Han, Mingyang Shang, Yu-Shen Liu, and Matthias Zwicker · 2019
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Lit: Learned intermediate representation training for model compression
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Self-supervised deep learning on point clouds by reconstructing space
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Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon · 2019
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3d point capsule networks
Yongheng Zhao, Tolga Birdal, Haowen Deng, and Federico Tombari · 2019
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Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling
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An empirical study of training self-supervised visual transformers
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Deep learning for image and point cloud fusion in autonomous driving: A review
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Fast convergence of detr with spatially modulated co-attention
Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, and Hongsheng Li · 2021
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Pct: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R Martin, and Shi-Min Hu · 2021
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Spatio-temporal self-supervised representation learning for 3d point clouds
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Self supervision to distillation for long-tailed visual recognition
Tianhao Li, Limin Wang, and Gangshan Wu · 2021
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Walk in the cloud: Learning curves for point clouds shape analysis
Tiange Xiang, Chaoyi Zhang, Yang Song, Jianhui Yu, and Weidong Cai · 2021
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Barlow twins: Self-supervised learning via redundancy reduction
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