TARL is introduced, a memory state update framework that maps each statement to one of five executable actions and is trained by comparing the memory states produced by alternative update operations, encouraging the model to select the operation that leads to the correct result.
Han Xiao, Hong-Jun Xu, Xin Zhang et al.· 1 citation
A novel framework based on conditional Variational autoencoder for SLT (VSLT) that facilitates direct and sufficient cross-modal alignment between sign language videos and spoken language text is proposed, and a shared Attention Residual Gaussian Distribution (ARGD) which considers the textual information as a residual...
Rui Zhao, Liang Zhang, Biao Fu et al.· International Journal of Com...· 0 citations
TARL is introduced, a memory state update framework that maps each statement to one of five executable actions and is trained by comparing the memory states produced by alternative update operations, encouraging the model to select the operation that leads to the correct result.
Han Xiao, Hongjun Xu, Xin Zhang et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.