3D Action Recognition On Ntu Rgb D 1
Metrics
Cross Subject Accuracy
Cross View Accuracy
Results
Performance results of various models on this benchmark
Model Name | Cross Subject Accuracy | Cross View Accuracy | Paper Title | Repository |
|---|---|---|---|---|
| P4Transformer | 90.2 | 96.4 | Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos | |
| 3DV-PointNet++ | 88.8 | 96.3 | 3DVNet: Multi-View Depth Prediction and Volumetric Refinement | |
| PSTNet | 90.5 | 96.5 | PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences | |
| Kinet | 92.3 | 96.4 | No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces | |
| PSTNet++ | 91.4 | 96.7 | Deep Hierarchical Representation of Point Cloud Videos via Spatio-Temporal Decomposition |
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