Imbalanced-Learning

Imbalanced learning for imbalanced recognition and segmentation, including MiSLAS, PaCo, ResLT, RR, and ResCom developed by CUHK, Deep Vision Lab.

News

2022/07 The code of ResCom has been released!
2022/06 The paper of ResLT (ResLT: Residual Learning for Long-Tailed Recognition) is accepted by TPAMI 2022.
2022/04 The paper of RR (Region Rebalance for Long-Tailed Semantic Segmentation) is available on arXiv.
2022/03 The paper of ResCom (Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition) is available on arXiv.
2021/07 The paper of PaCo (Paramateric Contrastive Learning) is accepted by ICCV 2021.
2021/03 The paper of MiSLAS (Improving Calibration for Long-Tailed Recognition) is accepted by CVPR 2021.

Imbalanced Recognition

ResCom

The repo ./ResCom provides ResCom's trained models, trained log, and code for PyTorch.

ResLT

The repo ./ResLT provides ResLT's trained models, trained log, and code for PyTorch.

PaCo

The repo ./PaCo provides PaCo's trained models, trained log, and code for PyTorch.

MiSLAS

The repo ./MiSLAS provides MiSLAS's trained models, and code for PyTorch.

Imbalanced Segmentation

RR

todo

Citation

Please consider citing our papers in your publications if they help your research.

If you have any questions, feel free to contact us through email or Github issues. Thanks!

@article{cui2022reslt,
  title={ResLT: Residual Learning for Long-Tailed Recognition},
  author={Cui, Jiequan and Liu, Shu and Tian, Zhuotao and Zhong, Zhisheng and Jia, Jiaya},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  year={2022},
}

@article{cui2022rr,
  title={Region Rebalance for Long-Tailed Semantic Segmentation},
  author={Cui, Jiequan and Yuan, Yuhui and Zhong, Zhisheng and Tian, Zhuotao and Hu, Han and Lin, Stephen and Jia, Jiaya},
  journal={arXiv preprint arXiv:2204.01969},
  year={2022}
}

@article{zhong2022rescom,
  title={Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition},
  author={Zhong, Zhisheng and Cui, Jiequan and Lo, Eric and Li, Zeming and Sun, Jian and Jia, Jiaya},
  journal={arXiv preprint arXiv:2203.11506},
  year={2022}
}

@inproceedings{cui2021paco,
    title={Parametric Contrastive Learning}, 
    author={Jiequan Cui and Zhisheng Zhong and Shu Liu and Bei Yu and Jiaya Jia},
    booktitle={IEEEinternational Conference on Computer Vision(ICCV)},
    year={2021},
}

@inproceedings{zhong2021mislas,
    title={Improving Calibration for Long-Tailed Recognition},
    author={Zhisheng Zhong, Jiequan Cui, Shu Liu, and Jiaya Jia},
    booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2021},
}

shiyuan0806 / Imbalanced-Learning