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R. Khan

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Open access Aug 2026

Automated Visual Inspection of Bridge Defect Segmentation Using Large-Scale Pretrained Models

This paper presents a scalable automated visual inspection pipeline for semantic segmentation of bridge defects, targeting the 19-class dacl10k benchmark dataset, and performs the first systematic comparison of pretraining paradigms on dacl10k, including CNN -supervised, ViT-supervised, masked image modelling, and self...

R. Khan, R. Kromanis · 0 citations

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