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  license: apache-2.0
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ tags:
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+ - background-removal
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  license: apache-2.0
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+ library: pytorch
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  ---
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+
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+ # IS-Net_DIS
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+
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+ * Model Authors: Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan*, Ling Shao, Luc Van Gool
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+ * Paper: Highly Accurate Dichotomous Image Segmentation (ECCV 2022 - https://arxiv.org/pdf/2203.03041.pdf
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+ * Code Repo: https://github.com/xuebinqin/DIS
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+ * Project Homepage: https://xuebinqin.github.io/dis/index.html
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+
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+ From the paper abstract:
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+
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+ > [...] 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.
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+ ![](https://github.com/xuebinqin/DIS/blob/main/figures/is-net.png)
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+
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+ # Citation
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+
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+ ```
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+ @InProceedings{qin2022,
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+ author={Xuebin Qin and Hang Dai and Xiaobin Hu and Deng-Ping Fan and Ling Shao and Luc Van Gool},
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+ title={Highly Accurate Dichotomous Image Segmentation},
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+ booktitle={ECCV},
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+ year={2022}
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+ }
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+ ```