2021
Sign Language Segmentation with Temporal Convolutional Networks
ICASSP 2021accepted
The objective of this work is to determine the location of temporal boundaries between signs in continuous sign language videos. Our approach employs 3D convolutional neural network representations with iterative temporal segment refinement to resolve ambiguities between sign boundary cues. We demon…