MS-SSE-Net integrates multi-scale feature extraction and squeeze-and-excitation attention into DenseNet201, reaching 99.26% accuracy on the StructDamage dataset and outperforming the baseline by about 0.73 percentage points.
HighTech Innov J5(3), 690–702 (2024)
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MS-SSE-Net: A Multi-Scale Spatial Squeeze-and-Excitation Network for Structural Damage Detection in Civil and Geotechnical Engineering
MS-SSE-Net integrates multi-scale feature extraction and squeeze-and-excitation attention into DenseNet201, reaching 99.26% accuracy on the StructDamage dataset and outperforming the baseline by about 0.73 percentage points.