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We propose a novel framework which integrates human hand detection and pose estimation into one single pipeline. Unlike most of previous works which only focus on the pose estimation part subject to some strong assumptions or relying on a weak detector to detect human hands, we employ a deep learning architecture to complete both aforementioned tasks. By letting three different neural networks share...
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