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, Yifei Zhou, Yiming Zhou et al.
· International Conference on... · 0 citations