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--- |
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tags: |
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- background-removal |
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- computer-vision |
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- image-segmentation |
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license: apache-2.0 |
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library: pytorch |
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inference: false |
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--- |
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# IS-Net_DIS |
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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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From the paper abstract: |
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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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[HCE score](https://github.com/xuebinqin/DIS#4-human-correction-efforts-hce): 1016 |
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# Citation |
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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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``` |
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