Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors

13 Jan 2021 Ali Harakeh Steven L. Waslander

Predictive uncertainty estimation is an essential next step for the reliable deployment of deep object detectors in safety-critical tasks. In this work, we focus on estimating predictive distributions for bounding box regression output with variance networks... (read more)

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