HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations

Benchmark Model Rank Results
skeleton-based-action-recognition-on-ntu-rgbd-1203s-HYSP#46Accuracy (Cross-Subject): 84.5Accuracy (Cross-Setup): 86.3
skeleton-based-action-recognition-on-ntu-rgbd-120HYSP#51Accuracy (Cross-Subject): 81.4Accuracy (Cross-Setup): 82
skeleton-based-action-recognition-on-ntu-rgbd-603s-HYSP#56Accuracy (CS): 89.1Accuracy (CV): 95.2
skeleton-based-action-recognition-on-ntu-rgbd-60HYSP#69Accuracy (CS): 86.5Accuracy (CV): 93.5
skeleton-based-action-recognition-on-pku-mmd3s-HYSP#3Accuracy (Cross-Subject): 96.2