Hand Gesture Recognition on VIVA hand gesture dataset (8-fold cross-subject)
81.33AccuracyMTUT
Evaluation Results
| Method | Links | |
|---|---|---|
| MTUTModality=RGB, Pre-training=ImageNet and Kinetics2018.12 | 81.33 | |
| MTUTModality=Depth, Pre-training=ImageNet and Kinetics2018.12 | 81.31 | |
| I3DModality=RGB, Pre-training=ImageNet and Kinetics2018.12 | 78.25 | |
| I3DModality=Depth, Pre-training=ImageNet and Kinetics2018.12 | 74.46 | |
| C3DModality=RGB, Pre-training=Sports-1M2018.12 | 71.26 | |
| C3DModality=Depth, Pre-training=Sports-1M2018.12 | 68.32 | |
| CNN:LRNModality=Depth2018.12 | 65 | |
| HOG+HOG2Modality=Depth2018.12 | 58.6 | |
| CNN:LRNModality=RGB2018.12 | 57 | |
| HOG+HOG2Modality=RGB2018.12 | 52.3 |