%0 Conference Paper %1 geirhos2018imagenettrained %A Geirhos, Robert %A Rubisch, Patricia %A Michaelis, Claudio %A Bethge, Matthias %A Wichmann, Felix A. %A Brendel, Wieland %B International Conference on Learning Representations %D 2019 %K deep-learning foundations machine-learning robustness stable theory %T ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. %U https://openreview.net/forum?id=Bygh9j09KX

@inproceedings{geirhos2018imagenettrained, added-at = {2019-06-10T13:02:40.000+0200}, author = {Geirhos, Robert and Rubisch, Patricia and Michaelis, Claudio and Bethge, Matthias and Wichmann, Felix A. and Brendel, Wieland}, biburl = {https://www.bibsonomy.org/bibtex/27e36bf91657f746a7403905d7d38c37d/kirk86}, booktitle = {International Conference on Learning Representations}, description = {ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness | OpenReview}, interhash = {06e4d09df79542319241f277be0734c3}, intrahash = {7e36bf91657f746a7403905d7d38c37d}, keywords = {deep-learning foundations machine-learning robustness stable theory}, timestamp = {2019-06-10T13:02:40.000+0200}, title = {ImageNet-trained {CNN}s are biased towards texture; increasing shape bias improves accuracy and robustness.}, url = {https://openreview.net/forum?id=Bygh9j09KX}, year = 2019 }