Action Recognition on IsoGD RGB-D
72.67AccuracyUMDR (CFCer)
Evaluation Results
| Method | Links | |
|---|---|---|
| UMDR (CFCer)modality=RGB-D, #frames=642022.11 | 72.67 | |
| UMDR (CFCer)modality=RGB-D, #frames=322022.11 | 72.61 | |
| UMDR (CFCer)modality=RGB-D, #frames=162022.11 | 69.23 | |
| MSA-3Dmodality=RGB-D, #frames=162022.11 | 68.15 | |
| Decouple+Recouplemodality=RGB-D, #frames=642022.11 | 66.79 | |
| RAAR3DNetmodality=RGB-D, #frames=642022.11 | 66.62 | |
| NASmodality=RGB-D, #frames=322022.11 | 65.54 | |
| HybridNet w/ handmodality=RGB-D, #frames=322022.11 | 64.61 | |
| 3D-CDCNmodality=RGB-D, #frames=322022.11 | 62.04 | |
| HybridNet w/o handmodality=RGB-D, #frames=322022.11 | 61.14 | |
| AttentionLSTMmodality=RGB-D, #frames=162022.11 | 61.05 | |
| 3DCNN+LSTMmodality=RGB-D, #frames=322022.11 | 55.29 | |
| AHLmodality=RGB-D, #frames=322022.11 | 54.14 | |
| c-ConvNetmodality=RGB-D, #frames=42022.11 | 44.8 |