robustness-of-explanations

Code for reproducing the paper Lenka Tětková and Lars Kai Hansen: Robustness of Visual Explanations to Common Data Augmentation Methods (The 2nd Explainable AI for Computer Vision (XAI4CV) Workshop at CVPR 2023)

https://github.com/lenkatetkova/robustness-of-explanations

Science Score: 44.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.4%) to scientific vocabulary
Last synced: 11 months ago · JSON representation ·

Repository

Code for reproducing the paper Lenka Tětková and Lars Kai Hansen: Robustness of Visual Explanations to Common Data Augmentation Methods (The 2nd Explainable AI for Computer Vision (XAI4CV) Workshop at CVPR 2023)

Basic Info
  • Host: GitHub
  • Owner: LenkaTetkova
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 231 KB
Statistics
  • Stars: 4
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

Robustness of Visual Explanations to Common Data Augmentation Methods

========================================================================

Code for reproducing the paper Lenka Tětková and Lars Kai Hansen: Robustness of Visual Explanations to Common Data Augmentation Methods (The 2nd Explainable AI for Computer Vision (XAI4CV) Workshop at CVPR 2023)


How to use

  1. Create Conda environment from the environment file conda env create -f environment.yml or use the requirements file requirements.txt.

  2. Download the validation set of imagenet-mini (https://www.kaggle.com/datasets/ifigotin/imagenetmini-1000) and place it to the data folder (the code expects the path f"./data/imagenet-mini/val/{class ID}/{figure name}".

  3. Run chmod +x jobscript.sh source jobscript.sh

Project based on the cookiecutter data science project template. #cookiecutterdatascience

Owner

  • Name: Lenka Tětková
  • Login: LenkaTetkova
  • Kind: user

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Robustness of explanations
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Lenka
    family-names: Tětková
    email: lenhy@dtu.dk
    affiliation: Technical University of Denmark
    orcid: 'https://orcid.org/0000-0002-0009-6896'
identifiers:
  - type: doi
    value: 10.1109/CVPRW59228.2023.00381
repository-code: >-
  https://github.com/LenkaTetkova/robustness-of-explanations/tree/main
license: Apache-2.0
commit: 433fca431c13a1cc1e1c059fbac05685637ee391
version: '1.0'
date-released: '2023-04-13'

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