README.md

    RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection

    This repository is for paper "RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection" (CVPR 2019 workshop)

    Update (2020.12.15)

    upload the pre-trained model.
    NOTICING:

    • the uploaded pre-trained model is trained with new datasets since i lost previous pre-trained model.
    • the new dataset is produced by my new work, so i can't release it currently.

    Requirements

    • Python 3.7
    • PyTorch 1.0+
    • CUDA 10.0+

    Details

    • './unet/unet-parts.py': it includes detailed implementations of 'U-Net', 'RU-Net' and 'RRU-Net'
    • 'train.py': you can use it to train your model
    • 'predict.py': you can use it to test

    Citation

    Please add following information if you cite the paper in your publication:

    @inproceedings{bi2019rru,
      title={RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection},
      author={Bi, Xiuli and Wei, Yang and Xiao, Bin and Li, Weisheng},
      booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
      pages={0--0},
      year={2019}
    }

    Contact yale yalesaleng@gmail.com for any further information.

    项目简介

    🚀 Github 镜像仓库 🚀

    源项目地址

    https://github.com/yelusaleng/RRU-Net

    发行版本

    当前项目没有发行版本

    贡献者 1

    Y yelusaleng @yelusaleng

    开发语言

    • Python 100.0 %