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---
license: mit
metrics:
- f1
tags:
- image manipulation detection
- weak supervision
---
# Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning
<p align="center">
<a href="https://arxiv.org/abs/2309.01246"><b>Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning</b></a>
</p>
<p align="center">
<a href="https://www.yhzhai.com">Yuanhao Zhai</a>,
<a href="https://tyluann.github.io">Tianyu Luan</a>,
<a href="https://cse.buffalo.edu/~doermann/">David Doermann</a>,
<a href="https://cse.buffalo.edu/~jsyuan/">Junsong Yuan</a>
</p>
<p align="center">
University at Buffalo
</p>
<p align="center">
ICCV 2023
</p>
Please checkout our [GitHub repo](https://github.com/yhZhai/WSCL) for the whole project!
## Citation
If you feel this project is helpful, please consider citing our paper
```bibtex
@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}
}
``` |