# MCG-NJU/VideoMAE

<https://repo.masters-masters.com/en/repos/MCG-NJU/VideoMAE>

[Home](https://repo.masters-masters.com/en) › [MCG-NJU](https://repo.masters-masters.com/en/owners/MCG-NJU) › [VideoMAE](https://repo.masters-masters.com/en/repos/MCG-NJU/VideoMAE)

MCG-NJU/VideoMAE has 1,812 stars on GitHub. Its RepoMasters card: Beta tier. \[NeurIPS 2022 Spotlight\] VideoMAE: Masked Autoencoders are Data-Efficient…

| Field | Value |
| --- | --- |
| Owner | [MCG-NJU](https://repo.masters-masters.com/en/owners/MCG-NJU) |
| Stars | 1,812 |
| Forks | 175 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Topics | self-supervised-learning, action-recognition, video-understanding, masked-autoencoder, transformer, vision-transformer, video-transformer, mae, pytorch, video-representation-learning |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [MCG-NJU/VideoMAE](https://github.com/MCG-NJU/VideoMAE) |

## Repository

\[NeurIPS 2022 Spotlight\] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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