June 5, 2024, 4:49 a.m. | Dominik Werner Wolf, Prasannavenkatesh Balaji, Alexander Braun, Markus Ulrich

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.02411v1 Announce Type: new
Abstract: A lot of effort is currently invested in safeguarding autonomous driving systems, which heavily rely on deep neural networks for computer vision. We investigate the coupling of different neural network calibration measures with a special focus on the Area Under the Sparsification Error curve (AUSE) metric. We elaborate on the well-known inconsistency in determining optimal calibration using the Expected Calibration Error (ECE) and we demonstrate similar issues for the AUSE, the Uncertainty Calibration Score (UCS), …

abstract arxiv autonomous autonomous driving autonomous driving systems calibration computer computer vision cs.cv driving error focus network networks neural network neural networks systems type vision

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