Rüdiger Göbl

Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness

2019 · arXiv (Cornell University)

In this paper we propose a novel augmentation technique that improves not only the performance of deep neural networks on clean test data, but also significantly increases their robustness to random transformations, both affine and …