Skeleton Based Action Recognition On Varying
Metrics
Accuracy (AV I)
Accuracy (AV II)
Accuracy (CS)
Accuracy (CV I)
Accuracy (CV II)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy (AV I) | Accuracy (AV II) | Accuracy (CS) | Accuracy (CV I) | Accuracy (CV II) |
|---|---|---|---|---|---|
| enhanced-skeleton-visualization-for-view | 43% | 77% | 59% | 26% | 68% |
| temporal-convolutional-networks-for-action | 43% | 64% | 56% | 16% | 43% |
| ntu-rgbd-a-large-scale-dataset-for-3d-human | 33% | 50% | 60% | 13% | 33% |
| spatial-temporal-graph-convolutional-networks-1 | 53% | 43% | 71% | 25% | 56% |
| interpretable-3d-human-action-analysis-with | 48% | 68% | 63% | 14% | 48% |
| ntu-rgbd-a-large-scale-dataset-for-3d-human | 31% | 68% | 56% | 16% | 31% |
| a-large-scale-varying-view-rgb-d-action | 57% | 75% | 76% | 29% | 71% |