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Vision Transformer-Based Multi-Level Feature Fusion for Multi-Label Sewer Defect Classification
Automated classification of sewer defects is essential for infrastructure condition assessment and maintenance decision-making, but existing deep learning methods struggle to balance classification accuracy and computational complexity in large-scale multi-label scenarios. This study develops Sewer-
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