Pose normalization based on the signer's signing space substantially improves gloss-free sign language translation with a T5 model, while interpolation and augmentation give smaller, less certain gains.
Multi-channel transformers for multi- articulatory sign language translation
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Exploring Pose-based Sign Language Translation: Ablation Studies and Attention Insights
Pose normalization based on the signer's signing space substantially improves gloss-free sign language translation with a T5 model, while interpolation and augmentation give smaller, less certain gains.