Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

Benchmark Model Rank Results
3d-action-recognition-on-assembly101MS-G3D#4Actions Top-1: 28.7Verbs Top-1: 65.7Object Top-1: 36.3
action-recognition-on-h2o-2-hands-and-objectsMS-G3D#10Actions Top-1: 50.83RGB: NoHand Pose: 3DObject Pose: No
skeleton-based-action-recognition-on-kineticsMS-G3D#6Accuracy: 38.0
skeleton-based-action-recognition-on-ntu-rgbd-120MS-G3D Net#36Accuracy (Cross-Subject): 86.9Accuracy (Cross-Setup): 88.4
skeleton-based-action-recognition-on-ntu-rgbd-60MS-G3D Net#39Accuracy (CS): 91.5Accuracy (CV): 96.2