Claudio Michaelis
Claudio Michaelis
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Citata da
Citata da
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
R Geirhos, P Rubisch, C Michaelis, M Bethge, FA Wichmann, W Brendel
International Conference on Learning Representations (ICLR 2019), 2018
Shortcut Learning in Deep Neural Networks
R Geirhos*, JH Jacobsen*, C Michaelis*, R Zemel, W Brendel, M Bethge, ...
Nature Machine Intelligence, 2020
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
C Michaelis*, B Mitzkus*, R Geirhos*, E Rusak*, O Bringmann, AS Ecker, ...
Machine Learning for Autonomopus Driving Workshop, NeurIPS 2019, 2019
Optimizing Rank-based Metrics with Blackbox Differentiation
M Rolínek, V Musil, A Paulus, M Vlastelica, C Michaelis, G Martius
Computer Vision and Pattern Recognition (CVPR 2020), 2019
One-Shot Instance Segmentation
C Michaelis, I Ustyuzhaninov, M Bethge, AS Ecker
arXiv preprint arXiv:1811.11507, 2018
One-Shot Segmentation in Clutter
C Michaelis, M Bethge, AS Ecker
International Conference on Machine Learning (ICML 2018), 2018
Contrasting action and posture coding with hierarchical deep neural network models of proprioception
KJ Sandbrink, P Mamidanna, C Michaelis, M Bethge, MW Mathis, ...
BioRxiv, 2020.05. 06.081372, 2022
One-shot Texture Segmentation
I Ustyuzhaninov, C Michaelis, W Brendel, M Bethge
arXiv preprint arXiv:1807.02654, 2018
Closing the Generalization Gap in One-Shot Object Detection
C Michaelis, M Bethge, AS Ecker
arXiv preprint arXiv:2011.04267, 2020
Inducing a human-like shape bias leads to emergent human-level distortion robustness in CNNs
R Geirhos, P Rubisch, J Rauber, CRM Temme, C Michaelis, W Brendel, ...
19th Annual Meeting of the Vision Sciences Society (VSS 2019), 2019
Unintended cue learning: Lessons for deep learning from experimental psychology
R Geirhos, JH Jacobsen, C Michaelis, R Zemel, W Brendel, M Bethge, ...
20th Annual Meeting of the Vision Sciences Society (VSS 2020), 2020
Towards goal-driven deep neural network models to elucidate human arm proprioception
P Mamidanna, C Michaelis, A Mathis, M Bethge
28th Annual Meeting of the Society for the Neural Control of Movement (NCM …, 2018
Iterative weakly supervised learning for novel class object detection
D Mandić, W Brendel, C Michaelis
Why Machine Learning Models Fail: A Benchmarking Perspective
C Michaelis
PhD Thesis, Universität Tübingen, 2022
Comparing Search Strategies of Humans and Machines in Clutter
C Michaelis, M Weller, C Funke, AS Ecker, TSA Wallis, M Bethge
19th Annual Meeting of the Vision Sciences Society (VSS 2019), 2019
Comparing Humans and Deep Neural Networks on Visual Shape Judgments in Cluttered Images
C Funke, T Wallis, J Borowski, C Michaelis, A Ecker, M Bethge
18th Annual Meeting of the Vision Sciences Society (VSS 2018), 2018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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