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Instance-Level Post Hoc Uncertainty Quantification in Object Detection

Announce Type: new Abstract: Object detection is a safety-critical component of autonomous driving. It is essential to quantify the uncertainty in bounding-box predictions for safety assurance. Post hoc uncertainty quantification without retraining aligns with real-world deployment requirements; therefore, we employ the Laplace approximation.

arXiv CS 6d ago