Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection
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Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection
Announce Type: replace Abstract: With the widespread application of Unmanned Aerial Vehicles (UAVs) in bridge structural health monitoring, deep learning-based automatic crack detection has become a major research focus. However, practical UAV inspections still face four key challenges: weak crack features, degraded imaging conditions, severe class imbalance, and limited computational resources for practical UAV inspection workflows. To address these issues, this paper proposes a unified...