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Greek Sign Language Recognition for the SL-ReDu Learning Platform
There has been increasing interest lately in developing education tools for sign language (SL) learning that enable self-assessment and objective evaluation of learners’ SL productions, assisting both students and their instructors.
Multimodal Locally Enhanced Transformer for Continuous Sign Language Recognition
In this paper, we propose a novel Transformer-based approach for continuous sign language recognition (CSLR) from videos, aiming to address the shortcomings of traditional Transformers in learning local semantic context of SL.
Sign Language Recognition via Deformable 3D Convolutions and Modulated Graph Convolutional Networks
Automatic sign language recognition (SLR) remains challenging, especially when employing RGB video alone (i. e., with no depth or special glove-based input) and under a signer-independent (SI) framework, due to inter-personal signing variation.
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