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A novel 3D CNN architecture achieves superior defect detection in GPR data, addressing a critical gap in automated pavement inspection.
Bending-aware constraints in BendTwin lead to superior mechanical stability and fidelity in reconstructing deformable objects from video, outperforming traditional models.
Current models falter on fine-grained facade elements, achieving only 33 IoU across geographic domains, highlighting a pressing need for better benchmarks.
