3 papers
cs.CV2026
U-SEG: Uncertainty in SEGmentation -- A systematic multi-variable exploration
Michael Smith, Frank P. Ferrie
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 e…
cs.CV2024
The BRAVO Semantic Segmentation Challenge Results in UNCV2024
Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc +16
We propose the unified BRAVO challenge to benchmark the reliability of semantic segmentation models under realistic perturbations and unknown out-of-distribution (OOD) scenarios. W…
cs.CV2023
Uncertainty estimation in Deep Learning for Panoptic segmentation
Michael Smith, Frank Ferrie
As deep learning-based computer vision algorithms continue to advance the state of the art, their robustness to real-world data continues to be an issue, making it difficult to bri…