Skip to content
Log in

Author

M. Ulrich

View on Semantic Scholar

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Open access Jul 2026

The Impact of CutMix on Reliability and Robustness in Semantic Segmentation

Improvements show that CutMix has only a minor impact on segmentation accuracy but consistently improves the reliability, particularly under distribution shifts, indicating that CutMix primarily enhances the trustworthiness of the model’s calibration and uncertainty rather than the raw segmentation prediction itself.

S. Landgraf, M. Ulrich · 0 citations
#artificial intelligence Open access Jul 2026

A Critical Synthesis of Uncertainty Quantification and Foundation Models for Semantic Segmentation

This is the first systematic evaluation of UQ methods applied to a foundation model for semantic segmentation and highlights both the promise and the current limitations of uncertainty-aware foundation models, pointing to the need for future work that jointly optimizes accuracy, robustness, and efficiency for real-world deployment.

S. Landgraf, Joceline Hinz, M. Ulrich · 0 citations