Skip to content

PyTorch code for our paper titled "Hybrid Transformer Network for Deepfake Detection", accepted for publication at CBMI 2022, Graz, Austria.

Notifications You must be signed in to change notification settings

sfimediafutures/Hybrid-Transformer-Network-for-Deepfake-Detection

Repository files navigation

Hybrid-Transformer-Network-for-Deepfake-Detection-

PyTorch code for our paper titled "Hybrid Transformer Network for Deepfake Detection", accepted for publication at CBMI 2022, Graz, Austria.

Cite

If you find this code useful, please cite the following:

@inproceedings{khan2022hybrid,
  title={Hybrid Transformer Network for Deepfake Detection},
  author={Khan, Sohail Ahmed and Dang-Nguyen, Duc-Tien},
  booktitle={Proceedings of the 19th International Conference on Content-based Multimedia Indexing},
  pages={8--14},
  year={2022}
}

@misc{rw2019timm,
  author = {Ross Wightman},
  title = {PyTorch Image Models},
  year = {2019},
  publisher = {GitHub},
  journal = {GitHub repository},
  doi = {10.5281/zenodo.4414861},
  howpublished = {\url{https://github.com/rwightman/pytorch-image-models}}
}

About

PyTorch code for our paper titled "Hybrid Transformer Network for Deepfake Detection", accepted for publication at CBMI 2022, Graz, Austria.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published