R. Kromanis

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...