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title: VideoMAE Visualisation | |
emoji: π | |
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 π: 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> | |