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 (TPAMI2022) --- released
- High Quality Segmentation for Ultra High-resolution Images (CVPR2022) --- released
- CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation (ECCV2022) --- released
- High-Quality Entity Segmentation (ICCV2023 Oral) --- released
- Automatically Discovering Novel Visual Categories with Adaptive Prototype Learning --- code to be released
- AIMS: All-Inclusive Multi-Level Segmentation (NeurlPS2023 Spotlight) -- code to be released
Please refer to the README.md of each project. All projects would be merged to support each other in the soon.
@article{qi2022open,
title={Open world entity segmentation},
author={Qi, Lu and Kuen, Jason and Wang, Yi and Gu, Jiuxiang and Zhao, Hengshuang and Torr, Philip and Lin, Zhe and Jia, Jiaya},
journal={TPAMI},
year={2022},
}
@inproceedings{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},
booktitle={CVPR},
year={2022}
}
@inproceedings{qi2022cassl,
title={CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation},
author={Qi, Lu and Kuen, Jason and Lin, Zhe and Gu, Jiuxiang and Rao, Fengyun and Li, Dian and Guo, Weidong and Wen, Zhen and Yang, Ming-Hsuan and Jia, Jiaya},
booktitle={ECCV},
year={2022}
}
@inproceedings{qi2022fine,
title={High-Quality entity segmentation},
author={Qi, Lu and Kuen, Jason and Shen, Tiancheng and Gu, Jiuxiang and Guo, Weidong and Jia, Jiaya and Lin, Zhe and Yang, Ming-Hsuan},
booktitle={ICCV},
year={2023}
}