readme: ---
  tags:
  - background-removal
  - computer-vision
  - image-segmentation
  license: apache-2.0
  library: pytorch
  inference: false
  ---
  
  # IS-Net_DIS-general-use
  
  * Model Authors: Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan*, Ling Shao, Luc Van Gool
  * Paper: Highly Accurate Dichotomous Image Segmentation (ECCV 2022 - https://arxiv.org/pdf/2203.03041.pdf
  * Code Repo: https://github.com/xuebinqin/DIS
  * Project Homepage: https://xuebinqin.github.io/dis/index.html
  
  Note that this is an _optimized_ version of the IS-NET model.
  
  From the paper abstract:
  
  > [...]  we introduce a simple intermediate supervision baseline (IS- Net) using both feature-level and mask-level guidance for DIS model training. Without tricks, IS-Net outperforms var- ious cutting-edge baselines on the proposed DIS5K, mak- ing it a general self-learned supervision network that can help facilitate future research in DIS.
  
  ![](https://raw.githubusercontent.com/xuebinqin/DIS/main/figures/is-net.png)
  
  # Citation
  
  ```
  @InProceedings{qin2022,
        author={Xuebin Qin and Hang Dai and Xiaobin Hu and Deng-Ping Fan and Ling Shao and Luc Van Gool},
        title={Highly Accurate Dichotomous Image Segmentation},
        booktitle={ECCV},
        year={2022}
  }
  ```
  