A transformer model for boundary detection in continuous sign language
Sign Up to like & getrecommendations! Published in 2024 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-024-19079-x
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… read more here.
Keywords: continuous sign; sign; transformer model; language ... See more keywords
A non-anatomical graph structure for boundary detection in continuous sign language
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DOI: 10.1038/s41598-025-11598-3
Abstract: Recently, the challenge of the boundary detection of isolated signs in a continuous sign video has been studied by researchers. To enhance the model performance, replace the handcrafted feature extractor, and also consider the hand… read more here.
Keywords: continuous sign; sign; language; model ... See more keywords
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
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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