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Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data\n\n- [**BSGAL**](BSGAL) (ICML 2024) - Generative Active Learning for Long-tailed Instance Segmentation\n\n## 📣 News\n- 2024.11 We have released the code of DiverGen!\n- 2024.7 We have released the code of BSGAL!\n- 2024.5 BSGAL has been accepted to ICML 2024!\n- 2024.2 DiverGen has been accepted to CVPR 2024!\n  \n## License\nFor non-commercial academic use, this project is licensed under [the 2-clause BSD License](https://opensource.org/license/bsd-2-clause). \nFor commercial use, please contact [Chunhua Shen](chhshen@gmail.com).\n\n\n\n\n## 🖊️ Citation\nIf you find this project useful in your research, please cite:\n\n```BibTeX\n@inproceedings{fan2024divergen,\n  title = {DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data},\n  author= {Fan, Chengxiang and Zhu, Muzhi and Chen, Hao and Liu, Yang and Wu, Weijia and Zhang, Huaqi and Shen, Chunhua},\n  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},\n  pages = {3986--3995},\n  year  = {2024}\n}\n\n@inproceedings{zhu2024generative,\n      title  = {Generative Active Learning for Long-tailed Instance Segmentation}, \n      author = {Muzhi Zhu and Chengxiang Fan and Hao Chen and Yang Liu and Weian Mao and Xiaogang Xu and Chunhua Shen},\n      booktitle = {International Conference on Machine Learning},\n      year  = {2024},\n}\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faim-uofa%2Fdivergen","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faim-uofa%2Fdivergen","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faim-uofa%2Fdivergen/lists"}