arxiv
PublishedJune 5, 2026 at 4:00 AM
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Instance-Level Post Hoc Uncertainty Quantification in Object Detection
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arXiv:2606.04656v1 Announce Type: cross 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 deploym
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Originally published on arxiv ↗