162 citations · 172 across the 5 of their papers we have counts for
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cs.CV2022
Calibrating Perception Uncertainty for Autonomous Driving
Markus Kängsepp, Meelis Kull
Autonomous driving systems must be capable of making quick decisions based on the perceived environment and specific driving conditions. Perception models in these systems perform…
cs.LG2022★ 2 cited
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers
Markus Kängsepp, Kaspar Valk, Meelis Kull
Every uncalibrated classifier has a corresponding true calibration map that calibrates its confidence. Deviations of this idealistic map from the identity map reveal miscalibration…