A Probabilistic Perspective on Wasserstein-Based Evidential Uncertainty for Out-of-Distribution Segmentation

cs.CV

Submitted: 2026-10-07

Updated: 2026-10-07

Comments: 20 pages, 6 images, 3 figures

Code: https://github.com/A-Brosch/EDL-OOD-Segmentation

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
• A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
• Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
• You Only Look Once: Unified, Real-Time Object Detection

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