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Word-level Sign Language Recognition with Multi-stream Neural Networks Focusing on Local Regions
Thus in this work, we utilized local region images of both hands and face, along with skeletal information to capture local information and the positions of both hands relative to the body, respectively.
Ranked #2 on
Sign Language Recognition
on WLASL100
(using extra training data)
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