Wei Tian1*, Zhong Gao1 and Dayi Tan1 1Tongji University, China The final, formatted version of the article will be published soon. Receive an email when it is updated Vision-based human pose estimation has been widely applied in tasks such as augmented reality, action recognition and human-machine interaction. Current approaches favor the keypoint detection-based paradigm, as it eases the learning by circumventing the highly non-linear problem of direct regressing keypoint coordinates.
