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https://github.com/aim-uofa/divergen

DiverGen (CVPR 2024) & BSGAL (ICML 2024)
https://github.com/aim-uofa/divergen

active-learning generative-data-augmentation instance-segmentation long-tailed-segmentation lvis

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DiverGen (CVPR 2024) & BSGAL (ICML 2024)

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DiverGen & BSGAL


- [**DiverGen**](DiverGen) (CVPR 2024) - Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data

- [**BSGAL**](BSGAL) (ICML 2024) - Generative Active Learning for Long-tailed Instance Segmentation

## 📣 News
- 2024.11 We have released the code of DiverGen!
- 2024.7 We have released the code of BSGAL!
- 2024.5 BSGAL has been accepted to ICML 2024!
- 2024.2 DiverGen has been accepted to CVPR 2024!

## License
For non-commercial academic use, this project is licensed under [the 2-clause BSD License](https://opensource.org/license/bsd-2-clause).
For commercial use, please contact [Chunhua Shen](chhshen@gmail.com).

## 🖊️ Citation
If you find this project useful in your research, please cite:

```BibTeX
@inproceedings{fan2024divergen,
title = {DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data},
author= {Fan, Chengxiang and Zhu, Muzhi and Chen, Hao and Liu, Yang and Wu, Weijia and Zhang, Huaqi and Shen, Chunhua},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages = {3986--3995},
year = {2024}
}

@inproceedings{zhu2024generative,
title = {Generative Active Learning for Long-tailed Instance Segmentation},
author = {Muzhi Zhu and Chengxiang Fan and Hao Chen and Yang Liu and Weian Mao and Xiaogang Xu and Chunhua Shen},
booktitle = {International Conference on Machine Learning},
year = {2024},
}
```