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English(EN) Physical AI Smart Spaces: A Large-Scale Benchmark for Multi-Camera 3D Perception in Smart Spaces

发布新的基准 Physical AI Smart Spaces，用于三维感知

作者 PulseAugur 编辑部 · [1 个来源] ·

发布了一个名为 Physical AI Smart Spaces 的新基准，为室内环境中的多摄像头三维感知提供了大规模数据集。该数据集包含来自近 1800 个摄像头在仓库和医院等各种场景的同步视频，以及用于物体识别、边界框和校准的详细注释。它结合了合成数据生成和真实世界评估，并引入了 Higher Order Tracking Accuracy (HOTA) 指标的三维扩展，以提高跟踪性能。 AI

影响 该基准有望推动机器人和智能环境应用中的多摄像头三维感知研究。

排序理由 该集群描述了一个用于三维感知的新大规模基准数据集和相关的研究论文。 [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 →

发布新的基准 Physical AI Smart Spaces，用于三维感知

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该集群描述了一个用于三维感知的新大规模基准数据集和相关的研究论文。 [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) · Yuxing Wang, Yizhou Wang, Anqi Li, Shuo Wang, Sameer Satish Pusegaonkar, Haoquan Liang, Jiajun Li, Shenxin Jiang, Jianhe Yuan, Shangru Li, Tongwei Dai, Zihao Chen, David C. Anastasiu, Sujit Biswas, Xunlei Wu, Zheng Tang ·

    物理人工智能智能空间：面向智能空间的相机阵列三维感知大规模基准测试

    arXiv:2610.02580v1 Announce Type: new Abstract: Physical AI Smart Spaces is, to the best of our knowledge, the first benchmark to simultaneously provide large-scale, multi-class, and multi-camera 3D perception data for indoor smart spaces. It contains over 280 hours of synchroniz…

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