lijincm / CoCa

PyTorch implementation of "Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision" (TIP 2023)

Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision (TIP 2023)

This repository contains the PyTorch implementation for the TIP 2023 Paper "Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision"

Our paper is available at Online

If you have any questions on this paper, feel free to create an issue.

Citation

Please cite our paper if it is helpful to your work:

@ARTICLE{coca,
  author={Ji, Zhong and Li, Jin and Wang, Qiang and Zhang, Zhongfei},
  journal={IEEE Transactions on Image Processing}, 
  title={Complementary Calibration: Boosting General Continual Learning With Collaborative Distillation and Self-Supervision}, 
  year={2023},
  volume={32},
  number={},
  pages={657-667},
  doi={10.1109/TIP.2022.3230457}}

Acknowledgements

Our implementations use the source code from the following repositories and users:

• Dark Experience for General Continual Learning

• Supervised Contrastive Learning