A Multi-Level Network for Human Pose Estimation
Zhanpeng Shao Peng Liu Youfu Li Jianyu Yang Xiaolong Zhou Zhanpeng Shao Peng Liu Youfu Li Jianyu Yang Xiaolong Zhou
Although multi-person human pose estimation has made great progress in recent years, the challenges such as various scales of persons, occluded keypoints, and crowded backgrounds in complex scenes are still remained to be solved. In this paper, we propose a novel multi-level pose estimation network (MLPE) to learn multi-level features that can preserve both the strong semantic clues and spatial re...