JO
JosephKJ/class-incremental-learning
PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020)
Class-Incremental Learning
Papers
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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: