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KShapeNet: Riemannian network on Kendall shape space for Skeleton based Action Recognition
Deep Learning architectures, albeit successful in most computer vision tasks, were designed for data with an underlying Euclidean structure, which is not usually fulfilled since pre-processed data may lie on a non-linear space.
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