EntitySeg is an open source toolbox which towards open-world and high-quality image segmentation. All works related to image segmentation from our group are open-sourced here.
To date, EntitySeg implements the following algorthms:
- Open-World Entity Segmentation --- released
- High Quality Segmentation for Ultra High-resolution Images --- released
- CaSSL: Class-agnostic Semi-Supervised Learning for Detection and Segmentation ---code to be released
Please refer to the README.md of each project. All projects shared the similar detectron2 base code and could support each other.
@article{qi2021open,
title={Open-World Entity Segmentation},
author={Qi, Lu and Kuen, Jason and Wang, Yi and Gu, Jiuxiang and Zhao, Hengshuang and Lin, Zhe and Torr, Philip and Jia, Jiaya},
journal={arXiv preprint arXiv:2107.14228},
year={2021}
}
@article{shen2021high,
title={High Quality Segmentation for Ultra High-resolution Images},
author={Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia},
journal={CVPR},
year={2022}
}