Hand Gesture Recognition On Shrec 2017 Track
Metrics
14 gestures accuracy
Results
Performance results of various models on this benchmark
Model Name | 14 gestures accuracy | Paper Title | Repository |
|---|---|---|---|
| PointLSTM | 95.9 | An Efficient PointLSTM for Point Clouds Based Gesture Recognition | |
| 3DCNN_VIVA_4 | 73121216 | Compressing 3DCNNs Based on Tensor Train Decomposition | - |
| DD-Net | 94.6 | Make Skeleton-based Action Recognition Model Smaller, Faster and Better |
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