Understanding Certainnet Sampling Free Uncertainty Estimation For Object Detection
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- Authors: Riedlinger, Tobias*; Rottmann, Matthias; Schubert, Marius; Gottschalk, Hanno Description: The majority of
- Neural networks predictions are unreliable when the input
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- The video for the paper "Labels Are Not Perfect: Improving Probabilistic
Detailed Analysis of Certainnet Sampling Free Uncertainty Estimation For Object Detection
An overview of my dissertation. A reproduce of the public talk as part of my PhD defense, which took place online on June 18th, ... In this work, we introduce a new technique that combines two popular methods to BayesOD A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors
In this video, we present f-Cal, a method to train calibrated neural regressors. f-Cal employs distribution matching loss function to ...
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