Awesome
M2TR: Multi-modal Multi-scale Transformers for DeepfakeDetection
Introduction
This is the official pytorch implementation of Multi-modal Multi-scale for Deepfake detection, which is accepted by ICMR 2022.
<p align="center"> <img width="75%" src="./imgs/network.png" /> </p>Model Zoo
The baseline models on three versions of FF-DF dataset and Celeb-DF are provided.
| Dataset | Accuracy | model |
|---|---|---|
| FF++ (Raw) | 99.50 | FF-RAW |
| FF++ (C23) | 97.93 | FF-C23 |
| FF++ (C40) | 92.89 | FF-C40 |
| CelebDF | 99.76 | CelebDF |
Training and Evaluation
python run.py --cfg m2tr.yaml
License
This project is released under the MIT license.
Citations
@article{wang2021m2tr,
inproceedings={M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection},
author={Wang, Junke and Wu, Zuxuan and Chen, Jingjing and Jiang, Yu-Gang},
booktitle={ICMR},
year={2022}
}