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English(EN) Talking to Me or Someone Else? Rethinking Talk-to-Me Detection in Egocentric Videos

新方法重新思考自我中心视频中的“跟我说话”检测

研究人员提出了一种新的方法来检测自我中心视频中何时有人在直接对摄像机佩戴者说话。该方法将问题从二元分类重新构建为在线、帧级别的预测,并考虑了各种非“跟我说话”(TTM)的状态,例如对他人说话或自言自语。创建了一个新的数据集,即在线TTM数据集,其中包含约90万个带注释的帧来支持这种表述。一个整合了音频、视觉和语音语义线索的多模态模型在TTM检测中达到了75.5%的帧级别F1分数。 AI

影响 改进了对自我中心视频中社交互动的理解,可能催生更复杂的AI助手。

排序理由 该集群包含一篇详细介绍计算机视觉任务新方法和数据集的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

新方法重新思考自我中心视频中的“跟我说话”检测

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该集群包含一篇详细介绍计算机视觉任务新方法和数据集的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Feiyu Du, Xi He, Jia Li, Yapeng Tian, Weili Wu ·

    是在和我说话还是和别人说话?重新思考以自我为中心的视频中的“和我说话”检测

    arXiv:2609.14118v1 Announce Type: cross Abstract: Online understanding of who is talking to the camera wearer is a key capability for egocentric social interaction. However, existing talk-to-me (TTM) studies are commonly formulated as offline clip-level recognition, which is poor…