A Transformer Model for Boundary Detection in Continuous Sign Language

arXiv:2402.14720v1 Announce Type: new
Abstract: Sign Language Recognition (SLR) has garnered significant attention from researchers in recent years, particularly the intricate domain of Continuous Sign Language Recognition (CSLR), which presents heightened complexity compared to Isolated Sign Language Recognition (ISLR). One of the prominent challenges in CSLR pertains to accurately detecting the boundaries of isolated signs within a continuous video stream. Additionally, the reliance on handcrafted features in existing models poses a challenge to achieving optimal accuracy. To surmount these challenges, …

abstract arxiv attention challenges complexity continuous cs.cv detection domain language recognition researchers transformer transformer model type