Action Recognition on NTU RGB+D 60 & 120 (Cross-Subject (CSub))
82.5Accuracy2s-AGCN
Evaluation Results
| Method | Links | |
|---|---|---|
| 2s-AGCNYear=2019, Param. (Million)=6.94, Data=Skeleton, Note=Implemented by authors of this paper2020.08 | 82.5 | |
| 3s RA-GCNYear=2020, Param. (Million)=6.23, Data=Skeleton2020.08 | 81.1 | |
| 2s RA-GCNYear=2020, Param. (Million)=4.17, Data=Skeleton2020.08 | 81 | |
| GVFE+DH-TCNYear=2019, Data=Skeleton2020.08 | 78.3 | |
| baseline (1s RA-GCN)Year=2020, Param. (Million)=2.07, Data=Skeleton2020.08 | 78.2 | |
| AS-GCNYear=2019, Param. (Million)=6.99, Data=Skeleton2020.08 | 77.7 | |
| preliminary versionYear=2019, Param. (Million)=6.25, Data=Skeleton2020.08 | 74.4 | |
| SR-TSLYear=2018, Param. (Million)=19.07, Data=Skeleton, Note=Implemented by authors of this paper2020.08 | 74.1 | |
| ST-GCNYear=2018, Param. (Million)=3.10, Data=Skeleton, Note=Implemented by authors of this paper2020.08 | 70.7 | |
| TSRJIYear=2019, Data=Skeleton2020.08 | 67.9 | |
| SkeleMotionYear=2019, Data=Skeleton2020.08 | 67.7 | |
| Pose Evolution MapYear=2017, Data=Both2020.08 | 64.6 | |
| 2s attention LSTMYear=2017, Data=Skeleton2020.08 | 61.2 | |
| Skeleton VisualizationYear=2018, Data=Skeleton2020.08 | 60.3 | |
| FSNetYear=2018, Data=Skeleton2020.08 | 59.9 | |
| ST-LSTMYear=2016, Data=Skeleton2020.08 | 55.7 | |
| Soft RNNYear=2018, Data=RGB2020.08 | 36.3 | |
| PA-LSTMYear=2016, Data=Skeleton2020.08 | 25.5 |