2 papers
cs.CV2020
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers
Christoph Kamann, Burkhard Güssefeld, Robin Hutmacher +2
For safety-critical applications such as autonomous driving, CNNs have to be robust with respect to unavoidable image corruptions, such as image noise. While previous works address…
cs.CV2019
Benchmarking the Robustness of Semantic Segmentation Models
Christoph Kamann, Carsten Rother
When designing a semantic segmentation module for a practical application, such as autonomous driving, it is crucial to understand the robustness of the module with respect to a wi…