U-SEG: Uncertainty in SEGmentation -- A systematic multi-variable exploration

ArXi:2605.15421v1 Announce Type: new In this study, we explore in depth a few under-studied topics at the intersection of uncertainty estimation and segmentation. Prior work has shown that the quality of uncertainty estimates can be very sensitive to a range of variables. As one of the main uses of uncertainty estimation is to help identify and deal with prediction errors in practical scenarios, any factors that affect this must be clearly identified.