Research Article
Skeleton-Based Action Recognition Based on Distance Vector and Multihigh View Adaptive Networks
Table 1
Results on the NTU-RGB + D datasets.
| Methods | X-Sub (%) | X-View (%) |
| HBRNN-L [9] | 64.0 | 59.1 | Part-aware LSTM [26] | 70.3 | 62.9 | Trust gate ST-LSTM [27] | 77.7 | 69.2 | Two-stream RNN [28] | 79.5 | 71.3 | STA-LSTM [29] | 81.2 | 73.4 | Ensemble TS-LSTM [30] | 81.3 | 74.6 | Visualization CNN [11] | 82.6 | 76.0 | VA-LSTM [21] | 87.6 | 79.4 | ST-GCN [14] | 88.3 | 81.5 | SR-TSL [22] | 92.4 | 84.8 | HCN [6] | 91.1 | 86.5 | PB-GCN [23] | 93.2 | 87.5 | AGC-LSTM [31] | 95.0 | 89.2 | Ours | 95.3 | 89.5 |
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