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RBMatch: Dual-Level Class Rebalancing for Semi-Supervised Building Footprint Extraction
Accurate building footprint extraction from high-resolution remote sensing imagery is essential for urban planning, disaster response, and environmental monitoring. However, obtaining dense pixel-level annotations is costly, motivating the use of semi-supervised learning (SSL) to leverage unlabeled
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