videomae-vis / README.md
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---
title: VideoMAE Visualisation
emoji: 🌍
colorFrom: blue
colorTo: blue
sdk: gradio
sdk_version: 4.39.0
app_file: app.py
pinned: true
license: cc-by-4.0
short_description: Visualise outputs of VideoMAE
---
## References
Source Paper πŸ“œ: https://arxiv.org/abs/2203.12602
<details>
<summary>Citation</summary>
```lang-misc
@inproceedings{tong2022videomae,
title={Video{MAE}: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training},
author={Zhan Tong and Yibing Song and Jue Wang and Limin Wang},
booktitle={Advances in Neural Information Processing Systems},
year={2022}
}
```
</details>