MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition

Benchmark Model Rank Results
skeleton-based-action-recognition-on-ntu-rgbd-120MSA-GCNAccuracy (Cross-Subject): 90.6Accuracy (Cross-Setup): 92.2
skeleton-based-action-recognition-on-ntu-rgbd-60MSA-GCNAccuracy (CS): 93.6Accuracy (CV): 97.4Ensembled Modalities: 6