SignBERT: A BERT-Based Deep Learning Framework for Continuous Sign Language Recognition
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3132668
Abstract: Continuous sign language recognition (CSLR) is a very challenging task in intelligent systems, since it requires to produce real-time responses while performing computationally intensive video analytics and language modeling. Previous studies mainly focus on adopting… read more here.
Keywords: language; language recognition; continuous sign; sign ... See more keywords
A Cross-Attention BERT-Based Framework for Continuous Sign Language Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3199665
Abstract: Continuous sign language recognition (CSLR) is a challenging task involving various signal processing techniques to infer the sequences of glosses performed by signers. Existing approaches in CSLR typically use multiple input modalities such as the… read more here.
Keywords: recognition; cross attention; framework; sign language ... See more keywords
A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2018.2889563
Abstract: This work develops a continuous sign language (SL) recognition framework with deep neural networks, which directly transcribes videos of SL sentences to sequences of ordered gloss labels. Previous methods dealing with continuous SL recognition usually… read more here.
Keywords: deep neural; continuous sign; recognition; sign language ... See more keywords