Impression2805 / ICME21_calibrateCIL

PyTorch implementation of our ICME2021 (oral) paper "Calibration for Non-exemplar Based Class-incremental Learning"

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calibrateCIL - Official PyTorch Implementation

[ICME2021 Oral] Calibration for Non-exemplar Based Class-incremental Learning

Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu
Paper

Usage

run main.py.

Citation

@inproceedings{zhu2021calibration,
  title={Calibration for Non-Exemplar Based Class-Incremental Learning},
  author={Zhu, Fei and Zhang, Xu-Yao and Liu, Cheng-Lin},
  booktitle={2021 IEEE International Conference on Multimedia and Expo (ICME)},
  pages={1--6},
  year={2021},
  organization={IEEE}
}

Reference

Our implementation references the codes in the following repositories:

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PyTorch implementation of our ICME2021 (oral) paper "Calibration for Non-exemplar Based Class-incremental Learning"


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