AI RESEARCH
SignX: Continuous Sign Recognition in Compact Pose-Rich Latent Space
arXiv CS.CL
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ArXi:2504.16315v4 Announce Type: replace-cross The complexity of Sign Language (SL) data processing brings many challenges. The current approach to recognition of SL signs aims to translate RGB sign language videos through pose information into Word-based ID Glosses, which serve to uniquely identify signs. This paper proposes SignX, a novel framework for continuous sign language recognition (SLR) in compact pose-rich latent space.