Multi-scale feature fusion networks with frequency-domain attention and depth-wise convolution for pavement crack detection

Ning Xu; Jinghui Qiao

doi:10.1080/10298436.2025.2518156

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Multi-scale feature fusion networks with frequency-domain attention and depth-wise convolution for pavement crack detection

Ning Xu Jinghui Qiao

Year: 2025 Journal: International Journal of Pavement Engineering Vol: 26 (1) Publisher: Taylor & Francis

DOI: 10.1080/10298436.2025.2518156

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Keywords:

Convolution (computer science) Scale (ratio) Frequency domain Feature (linguistics) Domain (mathematical analysis) Fusion Computer science Artificial intelligence Geology Pattern recognition (psychology) Artificial neural network Computer vision Mathematics Mathematical analysis Geography Cartography

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Infrastructure Maintenance and Monitoring

Physical Sciences → Engineering → Civil and Structural Engineering

Asphalt Pavement Performance Evaluation

Physical Sciences → Engineering → Civil and Structural Engineering

Concrete Corrosion and Durability

Physical Sciences → Engineering → Civil and Structural Engineering

Multi-scale feature fusion networks with frequency-domain attention and depth-wise convolution for pavement crack detection

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