Skip to content

wannac1/TSRL

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

TSRL

The official code for paper "Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection" (CVPR 2026) main_archi.pdf

TSRL is implemented within the framework of DeepfakeBench. The provided code should be placed in the corresponding folders in DeepfakeBench.

A more comprehensive and refined version of the code, along with detailed usage instructions, will be made available as soon as I got spare time.

You may cite our paper by:

@article{lei2026tutor,
      title={Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection}, 
      author={Zhanhe Lei and Zhongyuan Wang and Jikang Cheng and Baojin Huang and Yuhong Yang and Zhen Han and Chao Liang and Dengpan Ye},
      year={2026},
      journal={arXiv preprint arXiv:2603.24139},
}

About

The official code for paper "Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection" (CVPR 2026)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages