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Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation
Uncertainty estimation for DNNs has been addressed using Bayesian methods, providing mathematically founded models for reliability assessment.
Insights on Evaluation of Camera Re-localization Using Relative Pose Regression
We believe that unlike other relocalization approaches, in the case of relative pose regression, the regressed subspace 3D volume is less dependent on the scene and more affect by the method used to score the overlap, which determined how closely sampled viewpoints are.
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