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[ICCV 2023] Official Implementation of MGMAE

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MGMAE: Motion Guided Masking for Video Masked Autoencoding
Bingkun Huang, Zhiyu Zhao, Guozhen Zhang, Yu Qiao, and Limin Wang
Nanjing University, Shanghai AI Lab

News

[2023.10.15] Model weights has been released.
[2023.10.10] Code has been released.
[2023.10.05] Code and models will be released in the following days.

Installation

Please follow the instructions in INSTALL.md.

Data Preparation

Please follow the instructions in DATASET.md for data preparation.

Pre-training

The pre-training instruction is in PRETRAIN.md.

Fine-tuning

The fine-tuning instruction is in FINETUNE.md.

Citation

If you find this repository useful, please use the following BibTeX entry for citation.

@inproceedings{huang2023mgmae,
  title={MGMAE: Motion Guided Masking for Video Masked Autoencoding},
  author={Huang, Bingkun and Zhao, Zhiyu and Zhang, Guozhen and Qiao, Yu and Wang, Limin},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={13493--13504},
  year={2023}
}

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mgmae's Issues

checkpoints

Dear authors,

Thank you a lot for releasing the code for this work!
Could you please specify where to find the pre-trained checkpoints? Many thanks.

Best

How to obtain the reconstructed image for inference and masked

Hello, I very much agree with your work. I would like to know how to obtain the schematic diagram of the reconstructed image and the mask image during the experiment. Because I'm just getting started. I really appreciate it if you can help me with this question.

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