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English(EN) Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks

Earth-OneVision 模型统一了六种遥感传感器模态

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出了 Earth-OneVision，这是一个拥有 20 亿参数的遥感多模态大语言模型。该模型将包括光学、SAR 和红外在内的六种不同传感器模态整合到一个单一框架中。Earth-OneVision 旨在提供对地球观测数据的统一理解，并在各种基准测试中展现出与更大模型相比具有竞争力的性能。 AI

影响 该模型有望推动用于科学研究和应用的各类地球观测数据的整合和分析。

排序理由 这是一篇描述新模型及其在基准测试中性能的研究论文。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Miaoxin Cai, Guanqun Wang, Wei Zhang, Guangyao Zhou, Yin Zhuang, Tong Zhang, Hao Wang, He Chen, Jun Li ·

    Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks

    arXiv:2606.10819v1 Announce Type: cross Abstract: RS-MLLMs enable natural-language understanding and spatial reasoning over earth observation imagery. However, existing models support only a narrow range of sensor types and tasks, yielding a fragmented view of the earth and leavi…

  2. arXiv cs.AI TIER_1 English(EN) · Jun Li ·

    Earth-OneVision: 将遥感多模态大语言模型扩展到更多传感器模态和任务

    RS-MLLMs enable natural-language understanding and spatial reasoning over earth observation imagery. However, existing models support only a narrow range of sensor types and tasks, yielding a fragmented view of the earth and leaving cross-modal geoscientific knowledge largely une…

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