DiverGen (CVPR 2024) - Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
BSGAL (ICML 2024) - Generative Active Learning for Long-tailed Instance Segmentation
For non-commercial academic use, this project is licensed under the 2-clause BSD License. For commercial use, please contact Chunhua Shen.
If you find this project useful in your research, please cite:
@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},
}