A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions

Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann 0001, Matthias Bethge, Wieland Brendel. A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions. In Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm, editors, Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part III. Volume 12348 of Lecture Notes in Computer Science, pages 53-69, Springer, 2020. [doi]

@inproceedings{RusakSZB0BB20,
  title = {A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions},
  author = {Evgenia Rusak and Lukas Schott and Roland S. Zimmermann and Julian Bitterwolf and Oliver Bringmann 0001 and Matthias Bethge and Wieland Brendel},
  year = {2020},
  doi = {10.1007/978-3-030-58580-8_4},
  url = {https://doi.org/10.1007/978-3-030-58580-8_4},
  researchr = {https://researchr.org/publication/RusakSZB0BB20},
  cites = {0},
  citedby = {0},
  pages = {53-69},
  booktitle = {Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part III},
  editor = {Andrea Vedaldi and Horst Bischof and Thomas Brox and Jan-Michael Frahm},
  volume = {12348},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-58580-8},
}