Adding predicted wavefront-aberration coefficients as an extra input to parameterized temperature scaling reduces calibration error for segmentation under synthetic optical blur.
Aleatoric and epistemic uncer- tainty in machine learning: an introduction to concepts and meth- ods,
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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.