Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition
Open paper
Benchmark
Model
Rank
Results
skeleton-based-action-recognition-on-kinetics
CGCN
–
Accuracy: 37.5
skeleton-based-action-recognition-on-ntu-rgbd-60
CGCN
–
Accuracy (CS): 90.3
Accuracy (CV): 96.4
Rank counts only results with a code link.