| Paper | Code | Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|
| Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition | 99.1% | Deep STGC_K | 2018-02-27 | |
| Optimized Skeleton-based Action Recognition via Sparsified Graph Regression | 98.4% | Complete GR-GCN | 2018-11-29 | |
| Tensor Representations for Action Recognition | ✓ Link | 97.45 | SCK⊕+DCK⊕ | 2020-12-28 |
| Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning | ✓ Link | 95.81% | Temporal Spectral Clustering + Temporal Subspace Clustering | 2020-06-21 |
| Tensor Representations for Action Recognition | ✓ Link | 95.23 | SCK+DCK | 2020-12-28 |
| Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data | 91.40% | Rolling Rotations (FTP) | 2016-06-27 | |
| Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group | ✓ Link | 90.9% | Lie Group | 2014-06-23 |