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UA-YOLO: An Uncertainty-Aware Network for Robust UAV Detection

delete2026-05-02
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PRE
AI
J
Jie Zhang
肖芬 (Fen Xiao) *
H
Han Xiang
X
Xieping Gao
B
Baokang Ouyang
DOI:10.1016/j.patrec.2026.04.035delete
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Abstract

Abstract

En 中文
UA-YOLO: An Uncertainty-Aware Network for Robust UAV Detection Jie Zhang,Fen Xiao,Han Xiang,Xieping Gao,Baokang Ouyang • Robust UAV detection under visually similar distractors is achieved. • We design an uncertainty-aware feature self-calibration module that produces more reliable feature representations. • We design a lightweight structural refinement module that captures fine details while maintaining inference efficiency. • Experiments on four public datasets validate the robustness and accuracy of our network.
Keywords:
UAV detection
uncertainty-aware
feature self-calibration
lightweight structure
robustness

Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
7.8K
Citations:
1.6W

Organization

H
hunan normal university
Scholars:
2.4K
Papers: 772
Citations: 0
X
xiangtan university
Scholars:
1.4W
Papers: 9.0K
Citations: 8
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