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Ev-YOLO: Uncertainty-Aware Object Detection via a Unified Evidential Formulation

arXiv · AI, language, vision and robotics · article · Sep 21, 2026 · UTC

Reliable uncertainty estimation is essential for deploying object detectors in autonomous systems operating in uncertain environments. Evidential Deep Learning (EDL) provides a principled framework for uncertainty-aware classification by representing network outputs as evidence and interpreting predictions through subjective logic. However, existing evidential object detectors typically combine evidential classification with regression uncertainty models that do not share the same theoretical foundation. In this work, we propose an evidential version of YOLOv8 in which both classification and

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