Adding predicted wavefront-aberration coefficients as an extra input to parameterized temperature scaling reduces calibration error for segmentation under synthetic optical blur.
On the Calibration of Un- certainty Estimation in LiDAR-based Semantic Segmentation,
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
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
Adding predicted wavefront-aberration coefficients as an extra input to parameterized temperature scaling reduces calibration error for segmentation under synthetic optical blur.