Sign Language Recognition On Wlasl 2000
Metrics
Top-1 Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Top-1 Accuracy |
|---|---|
| hierarchical-windowed-graph-attention-network | 48.49 |
| fine-tuning-of-sign-language-recognition | 58.51 |
| uni-sign-toward-unified-sign-language | 63.52 |
| stepnet-spatial-temporal-part-aware-network | 61.17 |
| bsl-1k-scaling-up-co-articulated-sign | 46.82 |
| word-level-deep-sign-language-recognition | 32.48 |
| natural-language-assisted-sign-language | 61.26 |
| skeleton-based-sign-language-recognition | 58.73 |