New Study Explores Label-Efficient Adaptation of Geospatial Foundation Models for Damage Mapping

A new arXiv paper proposes using positive-unlabeled learning to adapt geospatial foundation models for building damage mapping with limited labeled data.

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Timeline · 1 report

1. 2026-11-09 05:00 · arXiv cs.CV
   Towards Label-Efficient Geospatial Foundation Model Adaptation via Positive-Unlabeled Learning for Building Damage Mapping