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ViT-CIL - Official PyTorch Implementation
[AAAI 2024] Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning
Usage
- Training on CIFAR-100 dataset:
$ bash r.sh
To train on other setting, please modify the config file under exps/ following r.sh
Environment
- Dependency libraries are listed in requirements.txt.
$ pip install -r requirements.txt
Citation
If you use this code for your research, please consider citing:
@inproceedings{zhai2024fine,
title={Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning},
author={Zhai, Jiang-Tian and Liu, Xialei and Yu, Lu and Cheng, Ming-Ming},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={38},
number={7},
pages={6971--6978},
year={2024}
}