Search Results for author: Robin Hutmacher

Found 7 papers, 1 papers with code

Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation

no code implementations19 Aug 2023 Dan Zhang, Kaspar Sakmann, William Beluch, Robin Hutmacher, Yumeng Li

Within the context of autonomous driving, encountering unknown objects becomes inevitable during deployment in the open world.

Anomaly Detection Autonomous Driving +3

Identification of Systematic Errors of Image Classifiers on Rare Subgroups

no code implementations ICCV 2023 Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang

Despite excellent average-case performance of many image classifiers, their performance can substantially deteriorate on semantically coherent subgroups of the data that were under-represented in the training data.

Adversarial Attack Fairness

Does enhanced shape bias improve neural network robustness to common corruptions?

no code implementations ICLR 2021 Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, Jan Hendrik Metzen

We conclude that the data augmentation caused by style-variation accounts for the improved corruption robustness and increased shape bias is only a byproduct.

Data Augmentation

Meta Adversarial Training against Universal Patches

1 code implementation27 Jan 2021 Jan Hendrik Metzen, Nicole Finnie, Robin Hutmacher

However, tailoring adversarial training to universal patches is computationally expensive since the optimal universal patch depends on the model weights which change during training.

Autonomous Driving Image Classification +1

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