Defects in tunnel linings accelerate structural deterioration, reduce service life, and pose serious safety risks. Existing algorithms for detecting defect signals in ground-penetrating radar (GPR) images often struggle to balance accuracy and efficiency, with limited capacity to extract meaningful features. To address these limitations, this paper proposes a lightweight algorithm, MGD-DETR, for accurate recognition of internal tunnel lining defects, using RT-DETR as the base model. First, a Multi-HGNet backbone feature extraction network is in...
