CLIP model is an Efficient Online Lifelong Learner

Introduction

Official repository for online class incremental learning on stochastic blurry task boundary via mask and visual prompt tuning. Code is based on Si-Blurry and MaPLe. If you use our method or code in your research, please consider citing the paper as follows:

@article{wang2024clip,
  title={CLIP model is an Efficient Online Lifelong Learner},
  author={Wang, Leyuan and Xiang, Liuyu and Wei, Yujie and Wang, Yunlong and He, Zhaofeng},
  journal={arXiv preprint arXiv:2405.15155},
  year={2024}
}

Requirements

• Pytorch
• timm

or you can install a conda environment with :

   conda env create -f environment.yml

Run

   bash scripts/lora_clip.sh