Understanding Certainnet Sampling Free Uncertainty Estimation For Object Detection
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- BayesOD A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors
- Authors: Riedlinger, Tobias*; Rottmann, Matthias; Schubert, Marius; Gottschalk, Hanno Description: The majority of
- If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: ...
- In this video, we present f-Cal, a method to train calibrated neural regressors. f-Cal employs distribution matching loss function to ...
- This is the teaser video for our Neurips2020 paper "Posterior Network:
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 Neural networks predictions are unreliable when the input
Code: https://github.com/georghess/pmb-nll Project page: https://georghess.github.io/projects/pmb-nll/ Accurate
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