Signal-SGN++: Topology-Enhanced Time-Frequency Spiking Graph Network for Skeleton-Based Action Recognition

Benchmark Model Rank Results
skeleton-based-action-recognition-on-ntu-rgbd-60Signal-SGN++ (4 ensemble)–Accuracy (CS): 87.2Accuracy (CV): 94.5
skeleton-based-action-recognition-on-ntu-rgbd-60Signal-SGN++ (Bone+Joint)–Accuracy (CS): 84.5Accuracy (CV): 90.1
skeleton-based-action-recognition-on-ntu-rgbd-60Signal-SGN++ (Joint)–Accuracy (CS): 81.3Accuracy (CV): 88.4