Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition

Benchmark Model Rank Results
skeleton-based-action-recognition-on-ntu-rgbd-120EfficientGCN-B4#27Accuracy (Cross-Subject): 88.7Accuracy (Cross-Setup): 89.1
skeleton-based-action-recognition-on-ntu-rgbd-120EfficientGCN-B2#32Accuracy (Cross-Subject): 87.9Accuracy (Cross-Setup): 88.0
skeleton-based-action-recognition-on-ntu-rgbd-120EfficientGCN-B0#42Accuracy (Cross-Subject): 85.9Accuracy (Cross-Setup): 84.3
skeleton-based-action-recognition-on-ntu-rgbd-60EfficientGCN-B4#35Accuracy (CS): 92.1Accuracy (CV): 96.1
skeleton-based-action-recognition-on-ntu-rgbd-60EfficientGCN-B2#44Accuracy (CS): 90.9Accuracy (CV): 95.5
skeleton-based-action-recognition-on-ntu-rgbd-60EfficientGCN-B0#51Accuracy (CS): 89.9Accuracy (CV): 94.7