Memory Attention Networks for Skeleton-based Action Recognition

Benchmark Model Rank Results
skeleton-based-action-recognition-on-ntu-rgbd-60MANs (DenseNet-161)#81Accuracy (CS): 82.67Accuracy (CV): 93.22