A pyramid semi-autoregressive transformer with rich semantics for sign language production

HIGHLIGHTS

• who: Zhenchao Cui et al. from the Hebei University, Baoding, China have published the research work: A Pyramid Semi-Autoregressive Transformer with Rich Semantics for Sign Language Production, in the Journal: Sensors 2022, 22, 9606. of /2022/
• what: To remedy these issues in SLP the authors propose a novel method named Pyramid Semi-Autoregressive Transformer with Rich Semantics (PSAT-RS) in this paper. Since of the importance in SLP, in this paper, the authors focus on the task of text2pose and propose a novel model to realize an efficient sign poses sequence production. The main . . .
  

   

  

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