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Author

Yuheng Zong

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Jul 2026

Filling Before Advancing: Capability-Gap-Driven Post-Training for Scenario-Specialized Remote Sensing MLLMs

Remote sensing multimodal large language models (RS-MLLMs) have improved general aerial-image understanding. However, Earth observation applications require fine-grained scenario specialization, constrained by scarce high-quality scenario data and incomplete capability coverage. We formulate this adaptation as a capabi...

Yu-Heng Zong, Ming-Hua Wang, Xin Zhao et al. · 0 citations

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