Skeleton Based Action Recognition On Sysu 3D
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Accuracy |
|---|---|
| jointly-learning-heterogeneous-features-for-1 | 75.5% |
| eleatt-rnn-adding-attentiveness-to-neurons-in | 85.7% |
| learning-latent-global-network-for-skeleton | 83.14% |
| view-adaptive-recurrent-neural-networks-for | 77.5% |
| view-adaptive-neural-networks-for-high | 86.7% |
| deep-progressive-reinforcement-learning-for | 76.9% |
| skeleton-based-action-recognition-using | 73.4% |
| generalized-graph-convolutional-networks-for | 77.9% |
| semantics-guided-neural-networks-for | 86.9% |