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Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization.
CVPR, pp.12793-12802, (2021)
We introduce a novel representation learning method to disentangle pose-dependent as well as view-dependent factors from 2D human poses. The method trains a network using cross-view mutual information maximization (CV-MIM) which maximizes mutual information of the same pose performed from different viewpoints in a contrastive learning m...More
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