A Dual-Stage Deep Learning Framework for Fine-Crack Segmentation in High-Resolution UAV Images for Bridge Inspection
Fine-crack segmentation in high-resolution UAV images of bridges is hindered by weak crack signals, complex backgrounds, and substantial computational demands. This study proposes a dual-stage framework combining lightweight grid-wise screening with graph-enhanced segmentation. CrackClsNet identifies candidate regions,...