Hand Gesture Recognition On Dhg 14
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| deep-learning-for-hand-gesture-recognition-on | 91.28 |
| motion-feature-augmented-recurrent-neural | 84.68 |
| make-skeleton-based-action-recognition-model-1 | 94.6 |
| cnn-rnn-depth-and-skeleton-based-dynamic-hand | 85.36 |
| temporal-decoupling-graph-convolutional | 93.9 |
| real-time-hand-gesture-recognition | 95.83 |
| cnn-rnn-depth-and-skeleton-based-dynamic-hand | 85.46 |
| fusing-posture-and-position-representations | 92.0 |
| construct-dynamic-graphs-for-hand-gesture | 91.9 |
| cnn-rnn-depth-and-skeleton-based-dynamic-hand | 81.86 |
| an-ensemble-of-knowledge-sharing-models-for | 86.11 |