This work aims to guide future research toward robust, accurate, and certifiable 3D reconstruction systems suitable for engineering, industrial, and geospatial applications, by bridging the gap between classical photogrammetry and data-driven 3D vision.
Xin Wang, Tengfei Wang, M. Hillemann et al.· PFG – Journal of Photogramme...· 0 citations
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· ISPRS Annals of the Photogra...· 0 citations
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· ISPRS Annals of the Photogra...· 0 citations
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