ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation

arXiv:2401.08501v2 Announce Type: replace
Abstract: Uncertainty estimation is an essential and heavily-studied component for the reliable application of semantic segmentation methods. While various studies exist claiming methodological advances on the one hand, and successful application on the other hand, the field is currently hampered by a gap between theory and practice leaving fundamental questions unanswered: Can data-related and model-related uncertainty really be separated in practice? Which components of an uncertainty method are essential for real-world performance? Which uncertainty method works …

arxiv cs.cv framework segmentation semantic type uncertainty validation values