LiWentomng/boxlevelset

Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution

Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Risheng Yu, Xiansheng Hua and Lei Zhang

Paper (arXiv). This version is the extension of our work (eccv2022）to obtain the powerful performance.

💥BoxInstSeg is a toolbox for box-supervised instance segmentation. More methods (e.g. BoxInst, DiscoBox, Box2Mask) are updated in it.

The codes and pretrained models for Box2Mask are released in BoxInstSeg.

Visual performance on COCO of Box2Mask-T.

Model Zoo

• This code is for our eccv version paper. The pretrained models are in model_zoo.

• The codes and pretrained models for Box2Mask are availble in BoxInstSeg.

Installation

This implementation is based on MMdetection. Please refer to install.md for detailed installation.

Getting Started

Please see getting_started.md for models training and inference.

Citation

@article{li2022box2mask,
  title={Box2Mask: Box-supervised Instance Segmentation via Level Set Evolution},
  author={Wentong Li, Wenyu Liu, Jianke Zhu,  Miaomiao Cui, Risheng Yu, Xiansheng Hua and Lei Zhang},
  journal={arXiv},
  year={2022}
}

@inproceedings{li2022box,
  title={Box-supervised Instance Segmentation with Level Set Evolution},
  author={Wentong Li, Wenyu Liu, Jianke Zhu,  Miaomiao Cui,  Xiansheng Hua and Lei Zhang},
  booktitle={European Conference on Computer Vision},
  pages={1--18},
  year={2022}
}

More

This repo will update the survey of box-supervised instance segmentation.

License

This project is licensed under the Apache License 2.0.