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English(EN) InfraOcc: An Infrastructure Occupancy Benchmark with Static-to-Dynamic Reasoning

新的 InfraOcc 基准和 ProSD-Occ 模型解决了基础设施占用问题

研究人员推出了 InfraOcc,这是一个用于评估计算机视觉中基础设施侧语义占用的新基准。与专注于移动自车道的基准不同,InfraOcc 解决了固定视角传感器捕捉持续静态环境并叠加稀疏动态元素的独特特性。InfraOcc 包含 290 个多模态序列的密集体素注释,并提出了 ProSD-Occ,一种从静态证据逐步推理到动态证据的新颖方法,在各种赛道上取得了最先进的结果。 AI

影响 为基础设施侧占用建立了新的基准和推理范式,有可能改进自动驾驶系统和交通管理。

排序理由 这是一篇介绍计算机视觉新基准和模型的学术论文。

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 InfraOcc 基准和 ProSD-Occ 模型解决了基础设施占用问题

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这是一篇介绍计算机视觉新基准和模型的学术论文。
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Lei Yang, Xiaokai Bai, Boqi Li, Chunmian Lin, Li Wang, Ziying Song, Jiahuan Zhang, Enhui Ma, Haibao Yu, Jiaqi Ma, Kaicheng Yu ·

    InfraOcc: 一个具有静态到动态推理的基础设施占用基准

    arXiv:2608.30657v1 Announce Type: new Abstract: Fixed-viewpoint infrastructure sensors repeatedly observe the same traffic space, making roadside 3D occupancy structurally different from ego-vehicle perception: a near-persistent static scaffold is overlaid with sparse, short-live…