Sign Language Recognition On Rwth Phoenix 1
Metrics
Word Error Rate (WER)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Word Error Rate (WER) |
|---|---|
| slowfast-network-for-continuous-sign-language | 18.7 |
| continuous-sign-language-recognition-through | 24.3 |
| multimodal-locally-enhanced-transformer-for | 20.73 |
| a-simple-multi-modality-transfer-learning | 22.45 |
| multi-stream-keypoint-attention-network-for | 20.5 |
| spatial-temporal-multi-cue-network-for | 21.0 |
| improving-sign-language-translation-with | 23.9 |
| self-mutual-distillation-learning-for | 22.4 |
| stochastic-fine-grained-labeling-of-multi | 26.1 |
| signbert-hand-model-aware-self-supervised-pre | 19.9 |
| two-stream-network-for-sign-language | 19.3 |
| tcnet-continuous-sign-language-recognition | 19.4 |
| c2slr-consistency-enhanced-continuous-sign | 20.4 |