This is the pytorch version code of "AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning" in CVPR2023.
AttriCLIP is introduced from《AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning》
Paper ：Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang. "Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment". In CVPR, 2023.
The test Datasets：CIFAR100, Download link
Datasets size：100 classes and 32*32 pixels for each image.
The test Datasets：a subset of ImageNet, Download link
Datasets size：100 classes. The chosen classes are shown in supplementary materials of the paper and dataset/imagenet100.py of this project.
We use the pretrained CLIP model from here
pip install -r requirements.txt
python main_incremental_sumbit.py --root data_path