Towards Privacy-Aware Sign Language Translation at Scale

arXiv:2402.09611v1 Announce Type: cross
Abstract: A major impediment to the advancement of sign language translation (SLT) is data scarcity. Much of the sign language data currently available on the web cannot be used for training supervised models due to the lack of aligned captions. Furthermore, scaling SLT using large-scale web-scraped datasets bears privacy risks due to the presence of biometric information, which the responsible development of SLT technologies should account for. In this work, we propose a two-stage framework for …

abstract advancement arxiv bears captions cs.ai cs.cl cs.cv cs.lg data datasets language language data language translation major privacy scale scaling training translation type web