AI RESEARCH
Automatic Uncertainty-Aware Synthetic Data Bootstrapping for Historical Map Segmentation
arXiv CS.CV
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ArXi:2511.15875v2 Announce Type: replace The automated analysis of historical documents, particularly maps, has drastically benefited from advances in deep learning and its success across various computer vision applications. However, most deep learning-based methods heavily rely on large amounts of annotated