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English(EN) HOI-aware Adaptive Network for Weakly-supervised Action Segmentation

新网络AdaAct利用HOI上下文改进弱监督动作分割

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一种名为AdaAct的新型网络，用于弱监督动作分割，旨在提高区分相似动作的准确性。该方法利用人-物交互（HOI）作为上下文信息，动态调整网络参数。该方法使用视频HOI编码器和HyperNetwork，根据HOI序列调整时间编码器，并在Breakfast和50Salads数据集上证明了其有效性。 AI

影响 通过整合人-物交互上下文提高了动作识别准确性，可能使视频分析应用受益。

排序理由 这是一篇描述用于动作分割的新网络架构的研究论文。

在 arXiv cs.CV 阅读 →

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新网络AdaAct利用HOI上下文改进弱监督动作分割

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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Runzhong Zhang, Suchen Wang, Yueqi Duan, Yansong Tang, Yue Zhang, Yap-Peng Tan ·

    用于弱监督动作分割的HOI感知自适应网络

    arXiv:2604.26227v1 Announce Type: new Abstract: In this paper, we propose an HOI-aware adaptive network named AdaAct for weakly-supervised action segmentation. Most existing methods learn a fixed network to predict the action of each frame with the neighboring frames. However, th…

  2. arXiv cs.CV TIER_1 English(EN) · Yap-Peng Tan ·

    HOI感知自适应网络用于弱监督动作分割

    In this paper, we propose an HOI-aware adaptive network named AdaAct for weakly-supervised action segmentation. Most existing methods learn a fixed network to predict the action of each frame with the neighboring frames. However, this would result in ambiguity when estimating sim…

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