An evidential classifier trained on synthetic outliers reduces the average false-positive rate to 2.5% for pixel-wise out-of-distribution detection in road-scene segmentation.
Pattern recognition and machine learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
An evidential classifier trained on synthetic outliers reduces the average false-positive rate to 2.5% for pixel-wise out-of-distribution detection in road-scene segmentation.