Sign Language Translation Using Multi Context Transformer-Reference-Cited by-同舟云学术

Sign Language Translation Using Multi Context Transformer

Published:2021 Issue: Volume: Page:311-324
ISSN:0302-9743
Container-title:Advances in Soft Computing
language:
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Author:

Narayanan M. Badri,Bharadwaj K. Mahesh,Nithin G. R.,Padamnoor Dhiganth Rao,Vijayaraghavan Vineeth

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-89820-5_25

Reference23 articles.

1. Camgoz, N.C., Koller, O., Hadfield, S., Bowden, R.: Sign language transformers: joint end-to-end sign language recognition and translation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020)

2. Yin, K., Read, J.: Better sign language translation with STMC-transformer. In: Proceedings of the 28th International Conference on Computational Linguistics, Barcelona (2020)

3. Quan, Y.: Chinese sign language recognition based on video sequence appearance modeling. In: 2010 5th IEEE Conference on Industrial Electronics and Applications, pp. 1537–1542 (2010)

4. Grobel, K., Assan, M.: Isolated sign language recognition using hidden markov models. In: 1997 IEEE International Conference on Systems, Man, and Cybernetics, Computational Cybernetics and Simulation, vol. 1, pp. 162–167 (1997)

5. Rastgoo, R., Kiani, K., Escalera, S.: Sign language recognition: a deep survey. Expert Syst. Appl. 164, 113794 (2021)

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