2017
Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization
CVPR 2017poster
This work presents a weakly supervised framework with deep neural networks for vision-based continuous sign language recognition, where the ordered gloss labels but no exact temporal locations are available with the video of sign sentence, and the amount of labeled sentences for training is limited.…