AMPose: Alternatively Mixed Global-Local Attention Model for 3D Human Pose Estimation. (arXiv:2210.04216v3 [cs.CV] UPDATED)

The graph convolutional network (GCN) has been applied to 3D human pose
estimation (HPE). In addition, the pure transformer model recently shows
promising results in the video-based method. However, the single-frame method
still needs to model the physically connected relations among joints because
the feature representation transformed only by global attention lack the
relationships of the human skeleton. To deal with this problem, we propose a
novel architecture, namely AMPose, to combine the physically connected and
global relations among joints …

arxiv attention global human local attention mixed