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In recent papers, mixture of experts is used to overcome the ambiguities occurred in 3D human pose estimation from monocular images or videos. However, because of the high dimension of the image and pose space, a large amount of labeled samples are required during estimation, i.e. images with their corresponding poses, this demands considerable human effort. In this paper, we use a semi-supervised...
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