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In the experiments, 3D roof models manually digitized by stereoscopic measurement were used as the ground truth, and the automatically reconstructed 3D roof models were evaluated by comparison with this reference.
A lightweight CNN-Mamba hybrid architecture for crack segmentation as a deployment-oriented redesign of CT-CrackSeg is proposed, showing that the proposed model maintains competitive topology-aware segmentation performance while substantially improving computational efficiency.
A three-stage multi-resolution segmentation framework that progressively refines shadow predictions from low to high resolution and improves fuzzy Intersection over Union (IoU) by approximately 0.05, and is applicable to other large-scale segmentation tasks requiring extensive receptive fields.
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