Signbert: a bert-based deep learning framework for continuous sign language recognition

HIGHLIGHTS

• who: . et al. from the Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China have published the article: SignBERT: A BERT-based Deep Learning Framework for Continuous Sign Language Recognition, in the Journal: CSL dataset Train Test 94 6 50 50 5 5 23,500 15,000 178 20
• what: The authors develop a deep learning framework named SignBERT integrating the bidirectional encoder representations from transformers (BERT) with the residual neural network (ResNet) to model the underlying sign languages and extract spatial features for CSLR. The focus of . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.