University of Wisconsin-Madison
Right-Sizing Confidence: Object Detector Lowers Confidence for Unfamiliar Inputs
An object detector trained exclusively on urban images might mistake a moose for a pedestrian and express high confidence in its poor judgment. New work enables object detectors, and potentially other neural networks, to lower their confidence when they encounter unfamiliar inputs.