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

arXiv:2609.24668 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

Terminology

Accuracy — 8× in this paper · explained in 1 episode
Calibration — 7× in this paper · explained in 7 episodes
Evidential Deep Learning — 5× in this paper
Distribution Focal Loss — 4× in this paper
Domain Shift — 4× in this paper · explained in 4 episodes
Distribution Shift — 3× in this paper · explained in 6 episodes
AUROC — 2× in this paper · explained in 2 episodes
Active Learning — 2× in this paper · explained in 6 episodes
Binary Cross-Entropy — 2× in this paper
Deep Evidential Regression — 2× in this paper
Regularization — 2× in this paper · explained in 3 episodes
Robustness — 2× in this paper · explained in 5 episodes
Activation Function — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Benchmark — 1× in this paper · explained in 2 episodes
Epistemic Uncertainty — 1× in this paper · explained in 10 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
KL Regularization — 1× in this paper · explained in 2 episodes
Multimodal Dataset — 1× in this paper · explained in 2 episodes

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