This repo hosts the official implementation of the paper "Simpler is Better: off-the-shelf Continual Learning Through Pretrained Backbones" accepted at Transformers 4 Vision Workshop of CVPR 2022. Paper

How To Run

You can run the experiments.sh to perform the paper experiments. Otherwise run by selecting a model and a dataset :

python off_the_shelf.py --model resnet18 --dataset CIFAR100

we support all the models from the timm package and as datasets you can use any dataset from the continuum package that respect the Class Incremental scenario (for more info look the experiment script for the tested combinations).

Cite

If you use the code, please cite:

@misc{pelosin2022simpler,
    author = {Pelosin, Francesco},
    title = {Simpler is Better: off-the-shelf Continual Learning Through Pretrained Backbones},
    publisher = {Transformers 4 Vision Workshop (CVPR 2022)},
    year = {2022},
    }