Understanding Certainnet Sampling Free Uncertainty Estimation For Object Detection
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Key Takeaways about Certainnet Sampling Free Uncertainty Estimation For Object Detection
- BayesOD A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors
- Authors: Riedlinger, Tobias*; Rottmann, Matthias; Schubert, Marius; Gottschalk, Hanno Description: The majority of
- In this video, we present f-Cal, a method to train calibrated neural regressors. f-Cal employs distribution matching loss function to ...
- In this work, we present Masksembles, a novel method for generating
- CenterNet: Object as Points is one of the milestones in the anchor-
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
Probabilistic
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