LAFNet: a lightweight neural network with fuzzy attention mechanism for rail surface defect classification
Rapid and accurate detection of rail anomaly is crucial for railway transportation safety. Although existing deep learning methods have achieved certain progress, they generally suffer from large model parameter sizes and high computational costs, making it difficult to meet the requirements of real-time performance...