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Kuizhuang Liu

1 accepted papers

2026

Learning Effective Sign Features without Text for Gloss-free Sign Language Translation

CVPR 2026

Self-supervised learning (SSL) has achieved remarkable success across both NLP and CV domains. However, sign language translation (SLT) models still heavily rely on gloss annotations in gloss-based SLT or text annotations in gloss-free SLT (GFSLT) during pretraining, aiming to ensure that the backbo

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