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English(EN) Dynamic Resolution Routing for Efficient Egocentric Grounding

SmartRes 框架提高了以自我为中心的视觉地面定位效率

研究人员开发了 SmartRes,一个旨在提高以自我为中心的视觉地面定位任务效率的新型框架。该方法通过动态地将高分辨率块路由到以对象为中心的区域来优化像素空间的处理,从而减少了对大量视觉标记处理的需求。与现有的标记减少技术相比,SmartRes 在保持高性能的同时,实现了高达 67% 的视觉标记显著减少,并提供了更快的推理速度。该框架的有效性在 Ego4DEgoIntention 等数据集上得到了证明,尤其是在小型对象地面定位应用方面。 AI

影响 该框架可以为以自我为中心的视觉应用实现更高效的处理,有可能降低计算成本并提高涉及小型对象定位的任务的性能。

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的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

SmartRes 框架提高了以自我为中心的视觉地面定位效率

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该集群包含一篇详细介绍计算机视觉任务新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    面向高效自我中心式基础的动态分辨率路由

    Egocentric visual grounding requires high-resolution inputs to localize small objects. However, scaling Multimodal Large Language Models to this domain is constrained by the excessive cost of visual token processing. We identify that current efficient strategies based on token re…