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Class-Incremental Learning

LICENSE Python PyTorch

Papers

  • Adaptive Aggregation Networks for Class-Incremental Learning, CVPR 2021. [PDF] [Project Page]

  • Mnemonics Training: Multi-Class Incremental Learning without Forgetting, CVPR 2020. [PDF] [Project Page]

Citations

Please cite our papers if they are helpful to your work:

@inproceedings{Liu2020AANets,
  author    = {Liu, Yaoyao and Schiele, Bernt and Sun, Qianru},
  title     = {Adaptive Aggregation Networks for Class-Incremental Learning},
  booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages     = {2544-2553},
  year      = {2021}
}
@inproceedings{liu2020mnemonics,
author    = {Liu, Yaoyao and Su, Yuting and Liu, An{-}An and Schiele, Bernt and Sun, Qianru},
title     = {Mnemonics Training: Multi-Class Incremental Learning without Forgetting},
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
pages     = {12245--12254},
year      = {2020}
}

Acknowledgements

Our implementation uses the source code from the following repositories:

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PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

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