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cs.CV2026

From Keypoints to Predictive Distributions: Post-Hoc Uncertainty for YOLO-Pose Models

Alexej Klushyn, Juan Rivero Sesma, Florian Seligmann +3

The paper adds a lightweight post‑hoc module to trained YOLO‑Pose models that predicts calibrated predictive distributions for each keypoint, enabling uncertainty‑aware ranking and…