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  • Pre-Training for 3D Hand Pose Estimation with Contrastive Learning on . . .
    To facilitate scalable pre-training, we first prepare an extensive pool of hand images from in-the-wild videos and design our method with contrastive learning Specifically, we collected over 2 0M hand images from recent human-centric videos, such as 100DOH and Ego4D
  • SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training . . .
    Abstract: We present a framework for pre-training of 3D hand pose estimation from in-the-wild hand images sharing with similar hand characteristics, dubbed SiMHand
  • Pre-Training for 3D Hand Pose Estimation with . . . - ResearchGate
    To facilitate scalable pre-training, we first prepare an extensive pool of hand images from in-the-wild videos and design our method with contrastive learning Specifically, we collected
  • [论文评述] Pre-Training for 3D Hand Pose Estimation with Contrastive . . .
    这篇论文主要介绍了一种基于对比学习框架的3D手势姿态估计的预训练方法，称为HandCLR。 其方法针对来自野外大量手部图像进行设计，以提升3D手姿势估计模型的性能。 以下是对论文的详细描述和核心方法的深入分析。 1 研究背景与动机 手部姿态估计的精确性对视频理解、增强现实 虚拟现实界面以及机器人学习非常重要。 然而，之前的大多数3D手部姿态预训练方法未能充分利用来自野外视频中的丰富而多样的手部图像。 因此，本文旨在构建一个大规模的手部图像数据集，并利用对比学习方法进行3D手部姿态估计的预训练。 2 数据集和数据预处理 论文收集了来自Ego4D和100DOH等人本中心视频的大量手部图像，总计达到200万张。 数据预处理部分使用了一种现成的手部检测器，从视频中提取有效的手部图像。
  • Yoichi Sato - Publications - Google Sites
    Nie Lin, Takehiko Ohkawa, Mingfang Zhang, Yifei Huang, Minjie Cai, Ming Li, Ryosuke Furuta, and Yoichi Sato, "Pre-Training for 3D Hand Pose Estimation with Contrastive Learning on
  • Pre-Training for 3D Hand Pose Estimation with Contrastive Learning on . . .
    This paper introduces HandCLR, a contrastive learning framework for pre-training 3D hand pose estimators using large-scale in-the-wild hand images It collects over 2 0M hand images to extract discriminative features, achieving significant improvements over state-of-the-art methods by embedding similar hand pairs closer in latent space
  • dblp: SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre . . .
    Bibliographic details on SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
  • ICLR 2024 Papers
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