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English(EN) Semantic-ITC: A Frame-wise Indoor Mobile Laser Scanning Dataset and Benchmark for Semantic Segmentation

新的 Semantic-ITC 数据集面向室内激光扫描分割

研究人员推出了 Semantic-ITC,这是一个新颖的数据集和基准,专为室内移动激光扫描 (MLS) 数据的逐帧语义分割而设计。该数据集弥补了当前基准的不足,这些基准通常侧重于重建的室内场景或室外环境。Semantic-ITC 包含超过 79,000 帧 MLS 数据,拥有 12.3 亿个标记点,涵盖 16 个语义类别,保留了室内 MLS 数据的稀疏性和逐帧特性。注释是通过结合视觉基础模型、BIM 信息和手动精炼的混合方法生成的,在单帧基准上,最佳基线达到了 79.27% 的 mIoU。 AI

影响 为室内移动激光扫描语义分割提供了一个新的基准,有望推动自动导航和 3D 场景理解领域的研究。

排序理由 该项目是一篇学术论文,介绍了一个用于特定计算机视觉任务的新数据集和基准。[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 →

新的 Semantic-ITC 数据集面向室内激光扫描分割

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该项目是一篇学术论文,介绍了一个用于特定计算机视觉任务的新数据集和基准。[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) · Haiyang Wu, Muhammad Affan, George Vosselman, Ville Lehtola ·

    Semantic-ITC:用于语义分割的逐帧室内移动激光扫描数据集和基准

    arXiv:2609.18493v1 Announce Type: new Abstract: Semantic labels for indoor mobile laser scanning (MLS) frames remain largely absent from current point cloud semantic segmentation benchmarks, which mainly focus on reconstructed indoor scenes or outdoor LiDAR perception. This paper…