Xianwei Zhang

Deep learning-based detection technology for railway track surface defects

Performance evaluation on the dataset and ablation experiments verify that the proposed YOLOv11-WD model significantly improves detection accuracy while achieving a preliminary lightweight design compared with the baseline YOLOv11s.