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Addressing Data Scarcity in GPR Road Defect Detection: A Novel Framework Combining Stable Diffusion and Efficient GCP-YOLO
Publisher: American Society of Civil Engineers
Abstract: AbstractThe application of deep learning to ground penetrating radar (GPR) detection of urban
road subsurface defects is often limited by the scarcity of real-world data and high
computational costs. To address this, we ...
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