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Wei-Xing Luo

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Conference Open access Sep 2026

Unified Sequence Modeling for Remote Sensing: A Parameter-Efficient Foundation Model via Prompt-Driven Granularity Alignment

RS-Florence is proposed, a compact unified model that addresses remote sensing perception systems through a Prompt-Driven Sequence-to-Sequence framework, which maps images and task-specific prompts into a unified sequence of natural language and discrete geometric tokens.

Yang Liu, Wei-Xing Luo, Huai-Zhou Qi et al. · 0 citations

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