Hand Gesture Recognition on Jester 1 (test)
96.6Top-1 AccuracyDRX3D
Evaluation results
| Method | Links | |
|---|---|---|
| DRX3D2018.04 | 96.6 | |
| 8-MFFs-3f1cnumber of segments=8, appended optical flow frames=3, data augmentation=1-crop2018.04 | 96.28 | |
| MFNet2018.04 | 96.22 | |
| NUDT_PDL2018.04 | 95.34 | |
| DIN2018.04 | 95.31 | |
| DINbackbone=BN-Inception, modalities=RGB2018.05 | 95.31 | |
| Guangming Zhu2018.04 | 95.01 | |
| SJ2018.04 | 94.87 | |
| Multiscale TRN2018.04 | 94.78 | |
| TRN2018.05 | 94.78 | |
| C3D2018.04 | 94.62 | |
| Besnet2018.05 | 94.23 | |
| Ford's Gesture Recognition System2018.05 | 94.11 | |
| VideoLSTM2018.05 | 85.86 | |
| ConvLSTM2018.05 | 82.76 | |
| 20BN's Jester System2018.05 | 82.34 | |
| 3D CNN2018.05 | 77.85 |