Sign Language Recognition on WLASL (test)
66.82Top-1 AccuracyMulti-dataset co-training
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Multi-dataset co-trainingco-training dataset=Logos2025.05 | 66.82 | — | |
| Multi-dataset co-trainingco-training dataset=MM-WLAuslan2025.05 | 64.59 | — | |
| Uni-Sign2025.05 | 63.5 | — | |
| NLA-SLR2025.05 | 61.3 | — | |
| StepNet2025.05 | 61.2 | — | |
| MViTv2mode=baseline2025.05 | 60.88 | — | |
| SAM-SLR2023.02 | 58.73 | — | |
| SAM-SLR2025.05 | 58.7 | — | |
| Swin-RSLvariant=tiny2023.02 | 58.51 | 88.36 | |
| MVIT-RSLvariant=small2023.02 | 56.88 | 88.57 | |
| SignBERT+2025.05 | 55.6 | — | |
| SignBERT2025.05 | 54.7 | — | |
| ZBEST2025.05 | 54.6 | — | |
| HWGAT2025.05 | 48.5 | — | |
| BSL-1K2025.05 | 46.9 | — | |
| I3Dpretraining=BSL-1K2023.02 | 46.82 | — | |
| I3D2023.02 | 32.48 | 57.31 |