Optimized Pavement Crack Segmentation with Low Computational Cost Using Fusion-Enhanced Attention U-Net
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Date
2026Author
Mohammed, Mohammed Ameen
Han, Zheng
Li, Yange
Al-Huda, Zaid
Wang, Weidong
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AbstractAccurate segmentation of pavement cracks is crucial for maintaining road safety and
the longevity of road infrastructures. Existing convolutional neural network (CNN)
models often struggle with the noise and irregular crack patterns inherent in ...