https://github.com/liwentomng/boxlevelset
The code for "Box-supervised Instance Segmentation with Level Set Evolution(ECCV2022)"
https://github.com/liwentomng/boxlevelset
box-segmentation box-supervised instance-segmentation levelset
Last synced: 4 months ago
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The code for "Box-supervised Instance Segmentation with Level Set Evolution(ECCV2022)"
- Host: GitHub
- URL: https://github.com/liwentomng/boxlevelset
- Owner: LiWentomng
- License: apache-2.0
- Created: 2021-12-05T05:36:23.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-07-20T09:17:24.000Z (about 2 years ago)
- Last Synced: 2025-05-17T18:11:19.641Z (5 months ago)
- Topics: box-segmentation, box-supervised, instance-segmentation, levelset
- Language: Python
- Homepage:
- Size: 33.4 MB
- Stars: 196
- Watchers: 5
- Forks: 26
- Open Issues: 10
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## Box-supervised Instance Segmentation via Level Set Evolution
> [Wentong Li](https://cslwt.github.io/), Wenyu Liu, [Jianke Zhu](https://person.zju.edu.cn/jkzhu), Miaomiao Cui, [Xiansheng Hua](https://scholar.google.com.hk/citations?user=6G-l4o0AAAAJ&hl=zh-CN&oi=ao) and [Lei Zhang](https://www4.comp.polyu.edu.hk/~cslzhang/)
**[Paper](https://arxiv.org/pdf/2207.09055.pdf) (arXiv).**
> **ECCV2022.**
## _News_
- Inspired by our boxlevelset, [BoxSnake](https://github.com/Yangr116/BoxSnake) is developed. Please see the paper for the details.
- We develop **[BoxInstSeg](https://github.com/LiWentomng/BoxInstSeg)**, which is a toolbox for box-supervised instance segmentation. More methods (e.g. BoxInst, DiscoBox, Box2Mask) are updated in it. This **[survey repo](https://github.com/LiWentomng/Box-supervised-instance-segmentation)** will update the methods on _box-supervised instance segmentation._
- We extend our work to [Box2Mask](https://arxiv.org/pdf/2212.01579.pdf) to obtain the powerful performance, which build our method on CNN-based (Box2Mask-C) and Transformer-based (Box2Mask-T) frameworks. Please see our [paper](https://arxiv.org/pdf/2212.01579.pdf) (arXiv) for details. **_The codes and pretrained models for Box2Mask are released in [BoxInstSeg](https://github.com/LiWentomng/BoxInstSeg)._**
##
> Visual performance on COCO of our Transformer-based method(Box2Mask-T).
## Model Zoo
- This code is for our eccv version paper. The pretrained models are in [model_zoo](https://github.com/LiWentomng/boxlevelset/blob/main/docs/model_zoo.md).
- The codes and pretrained models for *Box2Mask* are availble in [BoxInstSeg](https://github.com/LiWentomng/BoxInstSeg).
## Installation
This implementation is based on [MMdetection](https://github.com/open-mmlab/mmdetection).
Please refer to [install.md](./docs/install.md) for detailed installation.
## Getting Started
Please see [getting_started.md](./docs/get_started.md) for models `training` and `inference`.
## Citation
```BibTeX
@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}
}
```
```BibTeX
@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}
}
```
## More
**This **[repo](https://github.com/LiWentomng/Box-supervised-instance-segmentation)** will update the **survey** of _box-supervised instance segmentation._**
### License
This project is licensed under the Apache License 2.0.