Depth Aleatoric Uncertainty Estimation
3 papers with code • 1 benchmarks • 2 datasets
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Most implemented papers
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles
When used by autonomous vehicles for trajectory planning or obstacle avoidance, depth estimation methods need to be reliable.
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
In this work, we propose a generalized AuxUE scheme for more robust uncertainty quantification on regression tasks.
Explaining Predictive Uncertainty with Information Theoretic Shapley Values
Researchers in explainable artificial intelligence have developed numerous methods for helping users understand the predictions of complex supervised learning models.