AI RESEARCH
Probabilistic Object Detection with Conformal Prediction
arXiv CS.LG
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ArXi:2605.07549v1 Announce Type: cross Conformal Prediction (CP) is a distribution-free method for constructing prediction sets with marginal finite-sample coverage guarantees, making it a suitable framework for reliable uncertainty quantification in safety-critical object detection. However, object detection