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