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> [Zhan Tong](https://github.com/yztongzhan), [Yibing Song](https://ybsong00.github.io/), [Jue Wang](https://juewang725.github.io/), [Limin Wang](http://wanglimin.github.io/)<br>Nanjing University, Tencent AI Lab | ||
## 📰 News | ||
**[2022.8.8]** We have fixed a bug 🐛 in this [commit](https://github.com/MCG-NJU/VideoMAE/commit/2254c5eeeff30cda700622d8a24f14403eda4038) and the performance on Kinetics-400 can be improved by about 0.5%😮. Thank @JerryFlymi for help.<br> | ||
**[2022.7.7]** We have updated new results on downstream AVA 2.2 benckmark. Please refer to our [paper](https://arxiv.org/abs/2203.12602) for details. <br> | ||
**[2022.4.24]** Code and pre-trained models are available now! Please leave a star⭐️ for our best efforts.😆<br>**[2022.4.15]** The **[LICENSE](https://github.com/MCG-NJU/VideoMAE/blob/main/LICENSE)** of this project has been upgraded to CC-BY-NC 4.0.<br> | ||
**[2022.3.24]** ~~Code and pre-trained models will be released here.~~ Welcome to **watch** this repository for the latest updates. | ||
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| Method | Extra Data | Backbone | Resolution | #Frames x Clips x Crops | Top-1 | Top-5 | | ||
| :------: | :--------: | :------: | :--------: | :---------------------: | :---: | :---: | | ||
| VideoMAE | ***no*** | ViT-B | 224x224 | 16x2x3 | 70.6 | 92.6 | | ||
| VideoMAE | ***no*** | ViT-L | 224x224 | 16x2x3 | 74.2 | 94.7 | | ||
| VideoMAE | ***no*** | ViT-L | 224x224 | 32x1x3 | 75.3 | 95.2 | | ||
| VideoMAE | ***no*** | ViT-B | 224x224 | 16x2x3 | 70.8 | 92.4 | | ||
| VideoMAE | ***no*** | ViT-L | 224x224 | 16x2x3 | 74.3 | 94.6 | | ||
| VideoMAE | ***no*** | ViT-L | 224x224 | 32x1x3 | 75.4 | 95.2 | | ||
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### ✨ Kinetics-400 | ||
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| Method | Extra Data | Backbone | Resolution | #Frames x Clips x Crops | Top-1 | Top-5 | | ||
| :------: | :--------: | :------: | :--------: | :---------------------: | :---: | :---: | | ||
| VideoMAE | ***no*** | ViT-B | 224x224 | 16x5x3 | 80.9 | 94.7 | | ||
| VideoMAE | ***no*** | ViT-L | 224x224 | 16x5x3 | 84.7 | 96.5 | | ||
| VideoMAE | ***no*** | ViT-L | 320x320 | 32x5x3 | 85.8 | 97.1 | | ||
| VideoMAE | ***no*** | ViT-B | 224x224 | 16x5x3 | 81.5 | 95.1 | | ||
| VideoMAE | ***no*** | ViT-L | 224x224 | 16x5x3 | 85.2 | 96.8 | | ||
| VideoMAE | ***no*** | ViT-L | 320x320 | 32x5x3 | 86.1 | 97.3 | | ||
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### ✨ AVA 2.2 | ||
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## 👍 Acknowledgements | ||
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Thanks to [Ziteng Gao](https://sebgao.github.io/), Lei Chen and [Chongjian Ge](https://chongjiange.github.io/) for their kindly support.<br> | ||
Thanks to [Ziteng Gao](https://sebgao.github.io/), Lei Chen, [Chongjian Ge](https://chongjiange.github.io/), and [Zhiyu Zhao](https://github.com/JerryFlymi) for their kindly support.<br> | ||
This project is built upon [MAE-pytorch](https://github.com/pengzhiliang/MAE-pytorch) and [BEiT](https://github.com/microsoft/unilm/tree/master/beit). Thanks to the contributors of these great codebases. | ||
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## 🔒 License | ||
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