2018
Learning Pose Specific Representations by Predicting Different Views
CVPR 2018poster
The labeled data required to learn pose estimation for articulated objects is difficult to provide in the desired quantity, realism, density, and accuracy. To address this issue, we develop a method to learn representations, which are very specific for articulated poses, without the need for labeled…