Action Recognition on NTU RGB+D V2 (Cross View)
84AccuracyGCA-LSTM
Evaluation Results
| Method | Links | |
|---|---|---|
| GCA-LSTMTraining method=stepwise training2017.07 | 84 | |
| GCA-LSTMTraining method=direct training2017.07 | 82.8 | |
| Visualization CNN2017.07 | 82.6 | |
| STA Model2017.07 | 81.2 | |
| SkeletonNet2017.07 | 81.2 | |
| ST-LSTMvariant=Global (1)2017.07 | 79.5 | |
| ST-LSTMvariant=Global (2)2017.07 | 79.4 | |
| ST-LSTM2017.07 | 77.7 | |
| JTM CNN2017.07 | 75.2 | |
| Part-aware LSTM2017.07 | 70.3 | |
| Deep LSTM2017.07 | 67.3 | |
| Dynamic Skeletons2017.07 | 65.2 | |
| Deep RNN2017.07 | 64.1 | |
| HBRNN2017.07 | 64 | |
| Lie Group2017.07 | 52.8 | |
| Skeletal Quads2017.07 | 41.4 |