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Hong Xie

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Conference Jul 2026

GPE-YOLO: a gradient-prior enhanced detector with dynamic sampling for robust object detection in adverse weather

GPE-YOLO is proposed, a robust detection framework built upon the YOLOv11 architecture that explicitly integrates multiscale edge priors to enhance feature resilience and validate the potential of GPE-YOLO for reliable deployment in real-world adverse weather scenarios.

Xiaojie Chen, Yi-Fei Zhou, Yi-Ming Zhou et al. · 0 citations

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