arielreplicate / dichotomous_image_segmentation

Highly Accurate Dichotomous Image Segmentation (ECCV 2022)

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Input

Output

Run time and cost

This model costs approximately $0.0014 to run on Replicate, or 714 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 1 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Highly Accurate Dichotomous Image Segmentation (ECCV 2022)

Segment an image to background / foreground

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}
}

@InProceedings{Qin_2020_PR,
      title = {U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection},
      author = {Qin, Xuebin and Zhang, Zichen and Huang, Chenyang and Dehghan, Masood and Zaiane, Osmar and Jagersand, Martin},
      journal = {Pattern Recognition},
      volume = {106},
      pages = {107404},
      year = {2020}
}

@InProceedings{Qin_2019_CVPR,
        author = {Qin, Xuebin and Zhang, Zichen and Huang, Chenyang and Gao, Chao and Dehghan, Masood and Jagersand, Martin},
        title = {BASNet: Boundary-Aware Salient Object Detection},
        booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
        month = {June},
        year = {2019}
}

@article{qin2021boundary,
       title={Boundary-aware segmentation network for mobile and web applications},
       author={Qin, Xuebin and Fan, Deng-Ping and Huang, Chenyang and Diagne, Cyril and Zhang, Zichen and Sant'Anna, Adri{\`a} Cabeza and Suarez, Albert and Jagersand, Martin and Shao, Ling},
       journal={arXiv preprint arXiv:2101.04704},
       year={2021}
}