SignMamba: Sparse spatial-temporal state-space modeling for continuous sign language recognition.

Yang XH, Wang G, Hu HX, Wei D, Chen ZW, Liu S, Feng Y

Open source

DOI
10.1016/j.neunet.2026.109530
Published
2026 Aug 19
Container
Neural networks : the official journal of the International Neural Network Society
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.neunet.2026.109530,
  title = {SignMamba: Sparse spatial-temporal state-space modeling for continuous sign language recognition.},
  author = {Yang XH and Wang G and Hu HX and Wei D and Chen ZW and Liu S and Feng Y},
  year = {2026},
  journal = {Neural networks : the official journal of the International Neural Network Society},
  doi = {10.1016/j.neunet.2026.109530},
  url = {https://doi.org/10.1016/j.neunet.2026.109530}
}

RIS

TY  - JOUR
TI  - SignMamba: Sparse spatial-temporal state-space modeling for continuous sign language recognition.
AU  - Yang XH
AU  - Wang G
AU  - Hu HX
AU  - Wei D
AU  - Chen ZW
AU  - Liu S
AU  - Feng Y
PY  - 2026
JO  - Neural networks : the official journal of the International Neural Network Society
DO  - 10.1016/j.neunet.2026.109530
UR  - https://doi.org/10.1016/j.neunet.2026.109530
ER  - 

APA

XH, Y., G, W., HX, H., D, W., ZW, C., S, L., & Y, F. (2026). SignMamba: Sparse spatial-temporal state-space modeling for continuous sign language recognition.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109530

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