Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning

Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning

Yuanhao Zhai, Tianyu Luan, David Doermann, Junsong Yuan

University at Buffalo

ICCV 2023

This repo contains the MIL-FCN version of our WSCL implementation.

1. Setup

Clone this repo

git clone git@github.com:yhZhai/WSCL.git

Install packages

pip install -r requirements.txt

2. Data preparation

We provide preprocessed CASIA (v1 and v2), Columbia, and Coverage datasets here. Place them under the data folder.

3. Training and evaluation

Runing the following script to train on CASIAv2, and evalute on CASIAv1, Columbia and Coverage.

python main.py --load configs/final.yaml

Citation

If you feel this project is helpful, please consider citing our paper

@inproceedings{zhai2023towards,
  title={Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning},
  author={Zhai, Yuanhao and Luan, Tianyu and Doermann, David and Yuan, Junsong},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={22390--22400},
  year={2023}
}

Acknowledgement

We would like to thank the following repos for their great work: