Skeleton-based Action Recognition on NTU RGB+D Cross-View (CV) 1.0
95.1Accuracy2s-AGCN
Evaluation results
| Method | Links | |
|---|---|---|
| 2s-AGCNYear=20192019.04 | 95.1 | |
| SGNsemantics=true2019.04 | 94.5 | |
| GR-GCNYear=20192019.04 | 94.3 | |
| VA-CNNYear=20192019.04 | 94.3 | |
| AS-GCNYear=20192019.04 | 94.2 | |
| AGC-LSTM (joint)Year=20192019.04 | 93.5 | |
| SGNsemantics=false2019.04 | 92.8 | |
| SR-TSLYear=20182019.04 | 92.4 | |
| HCNYear=20182019.04 | 91.1 | |
| DPRL+GCNNYear=20182019.04 | 89.8 | |
| ElAtt-GRUYear=20182019.04 | 88.4 | |
| ST-GCNYear=20182019.04 | 88.3 | |
| IndRNNLayers=62018.03 | 87.97 | |
| VA-LSTMYear=20172019.04 | 87.6 | |
| Enhanced Visualization+CNN2018.03 | 87.21 | |
| Clips+CNN+MTLN2018.03 | 84.83 | |
| Clips+CNN+MTLNYear=20172019.04 | 84.8 | |
| Pose conditioned STA-LSTM2018.03 | 84.5 | |
| IndRNNLayers=42018.03 | 83.75 | |
| Res-TCN2018.03 | 83.1 | |
| GCA-LSTMYear=20172019.04 | 82.8 | |
| JL_d+RNN2018.03 | 82.39 | |
| JDM+CNN2018.03 | 82.3 | |
| STA-LSTM2018.03 | 81.2 | |
| STA-LSTMYear=20172019.04 | 81.2 | |
| SkeletonNet(CNN)2018.03 | 81.16 | |
| ST-LSTM + Trust Gate2018.03 | 77.7 | |
| ST-LSTM + Trust GateYear=20162019.04 | 77.7 | |
| JTM+CNN2018.03 | 75.2 | |
| Part-Aware LSTMYear=20162019.04 | 70.3 | |
| PLSTMLayers=22018.03 | 70.27 | |
| PLSTMLayers=12018.03 | 69.4 | |
| LSTMLayers=22018.03 | 67.29 | |
| Deep learning on Lie Group2018.03 | 66.95 | |
| LSTMLayers=12018.03 | 66.81 | |
| RNNLayers=22018.03 | 64.09 | |
| HBRNN-LYear=20152019.04 | 64 | |
| RNNLayers=12018.03 | 60.24 |