# RunpeiDong/ACT

<https://repo.masters-masters.com/en/repos/RunpeiDong/ACT>

[Home](https://repo.masters-masters.com/en) › [RunpeiDong](https://repo.masters-masters.com/en/owners/RunpeiDong) › [ACT](https://repo.masters-masters.com/en/repos/RunpeiDong/ACT)

RunpeiDong/ACT has 104 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICLR 2023\] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image…

| Field | Value |
| --- | --- |
| Owner | [RunpeiDong](https://repo.masters-masters.com/en/owners/RunpeiDong) |
| Stars | 104 |
| Forks | 6 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | 3d-point-clouds, cross-modal-learning, representation-learning, self-supervised-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [RunpeiDong/ACT](https://github.com/RunpeiDong/ACT) |

## Repository

\[ICLR 2023\] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.