Box-supervised Instance Segmentation via Level Set Evolution

Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Xiansheng Hua and Lei Zhang
Paper (arXiv). ECCV2022.

News

Inspired by our boxlevelset, BoxSnake is developed. Please see the paper for the details.
We develop BoxInstSeg, which is a toolbox for box-supervised instance segmentation. More methods (e.g. BoxInst, DiscoBox, Box2Mask) are updated in it. This survey repo will update the methods on box-supervised instance segmentation.
We extend our work to Box2Mask to obtain the powerful performance, which build our method on CNN-based (Box2Mask-C) and Transformer-based (Box2Mask-T) frameworks. Please see our paper (arXiv) for details. The codes and pretrained models for Box2Mask are released in BoxInstSeg.

Visual performance on COCO of our Transformer-based method(Box2Mask-T).
<img src="./docs/coco_vis.png" width="800px">

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

@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}
}

@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}
}

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

License

This project is licensed under the Apache License 2.0.

Boxlevelset

Install / Use

README