Visual explanations of Style augmentation influence. link
Install conda and then:
- Once installed conda, just run
conda env create --name wsam --file requirements.yaml
or by pip and python env:
python3 -m venv wsam
source ./bin/activate
pip list --format=freeze > requirements.txt
python3 -m pip install -r requirements.txt
- To download models, click here.
- Save all models into
models/directory. - Run
python download_STL-10.pyto download STL-10 dataset.
@conference{visapp23,
author={Felipe Moreno{-}Vera. and Edgar Medina. and Jorge Poco.},
title={WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2023},
pages={830-837},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011795400003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}