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English(EN) A-PAIR: A Benchmark and Identity-Consistent Grounding Framework for Air-Ground Cross-View Referring Person Detection

新的A-PAIR基准和ICRG框架解决了空地人脸检测问题

研究人员推出A-PAIR,这是一个用于空地跨视图指代人脸检测的新基准和框架。这个问题对于通过将语言指令与特定的物理目标关联来协调地面和空中代理至关重要。提出的A-PAIR基准包含超过22,000个跨视图指代样本,并利用一个名为FARA的半自动标注框架来降低成本。伴随的ICRG框架通过结合因子化基础、候选完整性监督和跨视图一致性校准来提高检测性能。 AI

影响 这项研究通过提高空中和地面代理根据语言指令协调行动的能力,推动了具身智能的发展。

排序理由 该集群包含一篇研究论文,介绍了一个用于特定计算机视觉任务的新基准和框架。[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A-PAIR基准和ICRG框架解决了空地人脸检测问题

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该集群包含一篇研究论文,介绍了一个用于特定计算机视觉任务的新基准和框架。[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) · Zhoupeng Guo, Xinjie Yao, Yunqi Zhu, Zhihe Fan, Siqi Zhao, Jianjun Chen, Yichen Dong, Yan Fan, Pengfei Zhu ·

    A-PAIR:用于空地跨视图指代人物检测的基准和身份一致性基础框架

    arXiv:2608.27997v1 Announce Type: new Abstract: Air-ground cross-view referring person detection is a necessary component in the language-to-perception-to-control chain of collective embodied intelligence, grounding a language command into the same physical target before ground a…