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English(EN) OpenEarth-OVS44: A Multimodal Remote Sensing Dataset for Open-Vocabulary Segmentation

发布新的开放词汇分割遥感数据集

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员发布了OpenEarth-OVS44，这是一个新的多模态数据集，旨在推进遥感领域的开放词汇分割。该数据集包含来自2,832张RGB图像和1,341对RGB-合成孔径雷达图像的超过290,000个专家验证的分割区域，覆盖法国、日本和美国的40个城市。OpenEarth-OVS44旨在支持精细的土地覆盖理解，并包含三个评估轨道，以评估模型在各种条件下的性能，包括跨区域泛化和天气鲁棒性。 AI

影响 该数据集旨在提高遥感应用中精细的土地覆盖理解和模型泛化能力。

排序理由 该集群描述了在arXiv上发布的新学术数据集和论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

发布新的开放词汇分割遥感数据集

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该集群描述了在arXiv上发布的新学术数据集和论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yimin Wei, Hongruixuan Chen, Hao Zheng, Hao Liu, Jian Song, Yuting Zhu, Junshi Xia, Naoto Yokoya ·

    OpenEarth-OVS44: A Multimodal Remote Sensing Dataset for Open-Vocabulary Segmentation

    arXiv:2610.29642v1 Announce Type: new Abstract: In remote sensing, open-vocabulary segmentation is particularly important for flexible and scalable land-cover understanding across diverse regions, as it improves generalization to novel categories without requiring exhaustive pixe…

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