University of Wisconsin-Madison

1 Post

The framework of Virtual Outlier Synthesis (VOS)
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.

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