Pose Estimation, Action Recognition, AI, Computer Vision, Deep Learning.
with 5 samples, and on par with ST-GCN between 10 to 50 samples. MS-G3D also performed worse than SI-EN with 10 samples but performed nearly the same on 20 and was better with 50 and 100. The results can be seen in tabular form in tables 1 and 2 in the appendix. So, pose estimation or end-to-end?