Hand Gesture Recognition On Lsa16
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Prototypical Networks + CNN | 98.38 | A comparison of small sample methods for Handshape Recognition | |
| VGG16 | 95.92 | A Study of Convolutional Architectures for Handshape Recognition applied to Sign Language | |
| ProbSom w/ Radon Features | 92.3 | Handshape recognition for Argentinian Sign Language using ProbSom | - |
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