English(EN) PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments

新框架PanoAffordanceNet解决360度可供性识别问题

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-17 04:00

研究人员推出PanoAffordanceNet，一个专为360度室内环境的整体可供性识别设计的新颖框架。这项新任务解决了等距柱状投影的几何失真和语义分散等挑战。PanoAffordanceNet框架包含一个失真感知频谱调制器和一个全向球形稠密化头部，以提高校准和拓扑连续性。此外，该团队创建了360-AGD数据集，这是首个用于全景可供性识别的数据集，并证明他们的方法显著优于现有方法。 AI

影响为具身智能中的场景级感知树立了新基准，并为360度环境理解提供了工具。

排序理由该集群包含一篇详细介绍计算机视觉任务新框架和数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Guoliang Zhu, Wanjun Jia, Caoyang Shao, Yuheng Zhang, Zhiyong Li, Kailun Yang · 2026-07-17 04:00

PanoAffordanceNet：迈向360度室内环境的整体性可供性识别

arXiv:2603.09760v2 Announce Type: replace Abstract: Global perception is essential for embodied agents in 360{\deg} spaces, yet current affordance grounding remains largely object-centric and restricted to perspective views. To bridge this gap, we introduce a novel task: Holistic…

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PanoAffordanceNet：迈向360度室内环境的整体性可供性识别

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