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Deep learning modelling techniques: current progress, applications, advantages, and challenges
Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …
Sign language recognition: A deep survey
Sign language, as a different form of the communication language, is important to large
groups of people in society. There are different signs in each sign language with variability …
groups of people in society. There are different signs in each sign language with variability …
Two-stream network for sign language recognition and translation
Sign languages are visual languages using manual articulations and non-manual elements
to convey information. For sign language recognition and translation, the majority of existing …
to convey information. For sign language recognition and translation, the majority of existing …
Continuous sign language recognition with correlation network
Human body trajectories are a salient cue to identify actions in video. Such body trajectories
are mainly conveyed by hands and face across consecutive frames in sign language …
are mainly conveyed by hands and face across consecutive frames in sign language …
Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment
Sign language recognition (SLR) is a weakly supervised task that annotates sign videos as
textual glosses. Recent studies show that insufficient training caused by the lack of large …
textual glosses. Recent studies show that insufficient training caused by the lack of large …
A simple multi-modality transfer learning baseline for sign language translation
This paper proposes a simple transfer learning baseline for sign language translation.
Existing sign language datasets (eg PHOENIX-2014T, CSL-Daily) contain only about 10K …
Existing sign language datasets (eg PHOENIX-2014T, CSL-Daily) contain only about 10K …
Llms are good sign language translators
Abstract Sign Language Translation (SLT) is a challenging task that aims to translate sign
videos into spoken language. Inspired by the strong translation capabilities of large …
videos into spoken language. Inspired by the strong translation capabilities of large …
Sign language transformers: Joint end-to-end sign language recognition and translation
Abstract Prior work on Sign Language Translation has shown that having a mid-level sign
gloss representation (effectively recognizing the individual signs) improves the translation …
gloss representation (effectively recognizing the individual signs) improves the translation …
[HTML][HTML] Deepsign: Sign language detection and recognition using deep learning
The predominant means of communication is speech; however, there are persons whose
speaking or hearing abilities are impaired. Communication presents a significant barrier for …
speaking or hearing abilities are impaired. Communication presents a significant barrier for …
Gloss attention for gloss-free sign language translation
Most sign language translation (SLT) methods to date require the use of gloss annotations to
provide additional supervision information, however, the acquisition of gloss is not easy. To …
provide additional supervision information, however, the acquisition of gloss is not easy. To …