Omer Sumer

Self-Supervised Learning of Pose Embeddings From Spatiotemporal Relations in Videos

Human pose analysis is presently dominated by deep convolutional networks trained with extensive manual annotations of joint locations and beyond. To avoid the need for expensive labeling, we exploit spatiotemporal relations in training videos for self-supervised learning of pose embeddings. The key…