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LSA64: An Argentinian Sign Language Dataset
arXiv.org, 2023Automatic sign language recognition is a research area that encompasses human-computer interaction, computer vision and machine learning. Robust automatic recognition of sign language could assist in the translation process and the integration of hearing-
Franco Ronchetti +4 more
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Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining
IEEE International Conference on Computer Vision, 2023Sign Language Translation (SLT) is a challenging task due to its cross-domain nature, involving the translation of visual-gestural language to text. Many previous methods employ an intermediate representation, i.e., gloss sequences, to facilitate SLT ...
Benjia Zhou +7 more
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Isolated Arabic Sign Language Recognition Using a Transformer-based Model and Landmark Keypoints
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023Pose-based approaches for sign language recognition provide light-weight and fast models that can be adopted in real-time applications. This article presents a framework for isolated Arabic sign language recognition using hand and face keypoints.
Sarah Alyami +2 more
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Efficient Indian Sign Language Interpreter For Hearing Impaired
2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon), 2023Indian Sign Language (ISL) is the principal mode of communication for most dumb and deaf citizens nationwide. ISL uses signs of movements of the hands, faces, or body postures to transmit the needed message and emotion.
M. Rajmohan +5 more
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Sign Pose-based Transformer for Word-level Sign Language Recognition
2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2022In this paper we present a system for word-level sign language recognition based on the Transformer model. We aim at a solution with low computational cost, since we see great potential in the usage of such recognition system on hand-held devices.
Matyáš Boháček, M. Hrúz
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MLSLT: Towards Multilingual Sign Language Translation
Computer Vision and Pattern Recognition, 2022Most of the research to date focuses on bilingual sign language translation (BSLT). However, such models are in-efficient in building multilingual sign language translation systems.
Aoxiong Yin +5 more
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Indian Sign Language Recognition System for Dynamic Signs
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2022Sign language is a means of communication utilising manual gestures (movement of hands and wrists) and non-manual gestures (expressions of face and body language).
Arun Singh +5 more
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Spatial-Temporal Multi-Cue Network for Sign Language Recognition and Translation
IEEE transactions on multimedia, 2021Despite the recent success of deep learning in video-related tasks, deep models typically focus on the most discriminative features, ignoring other potentially non-trivial and informative contents.
Hao Zhou +3 more
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Self-Mutual Distillation Learning for Continuous Sign Language Recognition
IEEE International Conference on Computer Vision, 2021In recent years, deep learning moves video-based Continuous Sign Language Recognition (CSLR) significantly forward. Currently, a typical network combination for CSLR includes a visual module, which focuses on spatial and short-temporal information ...
Aiming Hao, Yuecong Min, Xilin Chen
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