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Sign Language Recognition On Rwth Phoenix 1

Metrics

Word Error Rate (WER)

Results

Performance results of various models on this benchmark

Model Name
Word Error Rate (WER)
Paper TitleRepository
SlowFastSign18.7SlowFast Network for Continuous Sign Language Recognition
CrossModal24.3Continuous Sign Language Recognition Through Cross-Modal Alignment of Video and Text Embeddings in a Joint-Latent Space-
WRNN + LET20.73Multimodal Locally Enhanced Transformer for Continuous Sign Language Recognition-
MMTLB22.45A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
MSKA-SLR20.5Multi-Stream Keypoint Attention Network for Sign Language Recognition and Translation
STMC21.0Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition-
SignBT23.9Improving Sign Language Translation with Monolingual Data by Sign Back-Translation-
SMKD22.4Self-Mutual Distillation Learning for Continuous Sign Language Recognition
Stochastic CSLR26.1Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition
SignBERT+19.9SignBERT+: Hand-model-aware Self-supervised Pre-training for Sign Language Understanding-
TwoStream-SLR19.3Two-Stream Network for Sign Language Recognition and Translation
TCNet19.4TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions
C2SLR20.4C2SLR: Consistency-Enhanced Continuous Sign Language Recognition
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