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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.

DatasetAccuracymodel
FF++ (Raw)99.50FF-RAW
FF++ (C23)97.93FF-C23
FF++ (C40)92.89FF-C40
CelebDF99.76CelebDF

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}
}