Web: http://arxiv.org/abs/2209.07601

Sept. 19, 2022, 1:14 a.m. | Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali

cs.CV updates on arXiv.org arxiv.org

The increasing use of deep neural networks in safety-critical applications
requires the trained models to be well-calibrated. Most current calibration
techniques address classification problems while focusing on improving
calibration on in-domain predictions. Little to no attention is paid towards
addressing calibration of visual object detectors which occupy similar space
and importance in many decision making systems. In this paper, we study the
calibration of current object detection models, particularly under domain
shift. To this end, we first introduce a plug-and-play …

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