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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

		Paper Title	Repository
Stochastic CSLR	26.1	Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition	-
CrossModal	24.3	Continuous Sign Language Recognition Through Cross-Modal Alignment of Video and Text Embeddings in a Joint-Latent Space	-
SignBT	23.9	Improving Sign Language Translation with Monolingual Data by Sign Back-Translation	-
MMTLB	22.45	A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
SMKD	22.4	Self-Mutual Distillation Learning for Continuous Sign Language Recognition	-
STMC	21.0	Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition	-
WRNN + LET	20.73	Multimodal Locally Enhanced Transformer for Continuous Sign Language Recognition	-
MSKA-SLR	20.5	Multi-Stream Keypoint Attention Network for Sign Language Recognition and Translation
C2SLR	20.4	C2SLR: Consistency-Enhanced Continuous Sign Language Recognition	-
SignBERT+	19.9	SignBERT+: Hand-model-aware Self-supervised Pre-training for Sign Language Understanding	-
TCNet	19.4	TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions
TwoStream-SLR	19.3	Two-Stream Network for Sign Language Recognition and Translation
SlowFastSign	18.7	SlowFast Network for Continuous Sign Language Recognition

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Sign Language Recognition On Rwth Phoenix 1 | SOTA | HyperAI