Code For CVPR'2023 paper "PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning"
The framework is based on online-continual-learning.
- CIFAR10 & CIFAR100 will be downloaded during the first run. (datasets/cifar10;/datasets/cifar100)
- Mini-ImageNet: Download from https://www.kaggle.com/whitemoon/miniimagenet/download, and place it in datasets/mini_imagenet/.
PCR is in https://github.com/FelixHuiweiLin/PCR/blob/main/agents/pcr.py.
python general_main.py --num_runs 1 --data cifar100 --cl_type nc --agent PCR --retrieve random --update random --mem_size 1000 python general_main.py --num_runs 1 --data cifar10 --cl_type nc --agent PCR --retrieve random --update random --mem_size 200python general_main.py --data --num_runs 1 mini_imagenet --cl_type nc --agent PCR --retrieve random --update random --mem_size 1000