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Skeleton Based Action Recognition On Upenn
Metrics
Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| UNIK | 97.9 | UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition | |
| Pr-VIPE | 97.5 | View-Invariant Probabilistic Embedding for Human Pose | |
| HDM-BG | 93.4 | Bayesian Hierarchical Dynamic Model for Human Action Recognition | - |
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