Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning

Author:

Wu Xiaoyang1,Wen Xin1,Liu Xihui1,Zhao Hengshuang1

Affiliation:

1. The University of Hong Kong

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference60 articles.

1. TWIST: Two-Way Inter-label Self-Training for Semi-supervised 3D Instance Segmentation

2. SimMIM: a Simple Framework for Masked Image Modeling

3. Icm-3d: Instantiated category modeling for 3d instance segmentation;chu;RA-L,2021

4. Pointcontrast: Unsupervised pre-training for 3d point cloud understanding;xie;ECCV,2020

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