awesome-3D-self-supervised-learning
A curated list of awesome 3D self-supervised methods
2022
- Masked Autoencoders for Point Cloud Self-supervised Learning.
- [Code]
- Similar to Kaiming's MAE
2021
-
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts.
CVPR 2021- [Code]
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Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models.
CVPR 2021- [Code]
-
Unsupervised domain adaptive 3d detection with multi-level consistency.
ICCV 2021 -
Self-Supervised Learning for Domain Adaptation on Point Clouds.
WACV 2021- [Code]
- pretext tasks: Deformation Reconstruction
2020
-
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding.
ECCV 2020- [Code]
- pretext tasks: PointContrast
-
Self-Supervised Learning of Point Clouds via Orientation Estimation.
3DV 2020- [Code]
- pretext tasks: rotation
2019
- Self-Supervised Deep Learning on Point Clouds by Reconstructing Space.
NIPS 2019- Pretask: to reconstruct point clouds whose parts have been randomly rearranged