Few-Shot Sign Language Recognition

Transformer model enhances few-shot sign language recognition with contrastive learning

Researchers have developed a Transformer-based model that utilizes contrastive learning to improve few-shot sign language recognition. This approach learns robust representations of body key-point sequences, allowing fo…