Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors

Tobias Riedlinger, Matthias Rottmann, Marius Schubert +1

The vast majority of uncertainty quantification methods for deep object detectors such as variational inference are based on the network output. Here, we study gradient-based epist…