Sign language recognition on WLASL 1000
67.81Top-1 AccuracyDSTA-SLR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DSTA-SLRInput=Pose+Hands2026.04 | 67.81 | — | |
| PHONSSMInput=Pose+Hands2026.04 | 62.9 | — | |
| I3DInput=Pose+Hands2026.04 | 47.33 | — | |
| Pose-based temporal graph convolution networksComputing Platform=Pose-based temporal graph convolution networks and comparison with an inflated 3D convolutional network.2026.01 | — | 64 |