Publications by Robert Geirhos

Preprints


R. Geirhos, J.-H. Jacobsen, C. Michaelis, R. Zemel, W. Brendel, M. Bethge, and F. A. Wichmann
Shortcut Learning in Deep Neural Networks
arXiv, 2020
Code, URL, BibTex
S. Haghiri, P. Rubisch, R. Geirhos, F. Wichmann, and U. von Luxburg
Comparison-Based Framework for Psychophysics: Lab versus Crowdsourcing
arXiv, 2019
URL, BibTex

Conference Papers


R. Geirhos, K. Meding, and F. A. Wichmann
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency
Advances in Neural Information Processing Systems 33, 2020
Code, URL, BibTex
C. Michaelis, B. Mitzkus, R. Geirhos, E. Rusak, O. Bringmann, A. S. Ecker, M. Bethge, and W. Brendel
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Machine Learning for Autonomous Driving Workshop, NeurIPS 2019, 2019
Code, URL, BibTex
R. Geirhos, P. Rubisch, C. Michaelis, M. Bethge, F. A. Wichmann, and W. Brendel
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
International Conference on Learning Representations (ICLR), 2019
Code, URL, BibTex
R. Geirhos, C. R. M. Temme, J. Rauber, H. H. Schütt, M. Bethge, and F. A. Wichmann
Generalisation in humans and deep neural networks
Advances in Neural Information Processing Systems 31, 2018
Code, URL, BibTex
F. A. Wichmann, D. H. Janssen, R. Geirhos, G. Aguilar, H. H. Schütt, M. Maertens, and M. Bethge
Methods and measurements to compare men against machines
Electronic Imaging, 2017(14), 36-45, 2017
URL, DOI, BibTex

Preprint versions of published papers


R. Geirhos, D. H. J. Janssen, H. H. Schütt, J. Rauber, M. Bethge, and F. A. Wichmann
Comparing deep neural networks against humans: object recognition when the signal gets weaker
arXiv (superseded by "Generalisation in humans and deep neural networks"), 170606969, 2017
Code, URL, BibTex

Abstracts


R. Geirhos, P. Rubisch, J. Rauber, C. R. M. Temme, C. Michaelis, W. Brendel, M. Bethge, and F. A. Wichmann
Inducing a human-like shape bias leads to emergent human-level distortion robustness in CNNs
Journal of Vision, 19(10), 2019
DOI, BibTex
R. Geirhos, D. Janssen, H. Schütt, M. Bethge, and F. Wichmann
Of human observers and deep neural networks: A detailed psychophysical comparison
Journal of Vision, 17(10), 2017
DOI, BibTex
University of Tuebingen BCCN CIN MPI