Difference-guided multi-scale spatial-temporal representation for sign language recognition

Author:

Gao LiqingORCID,Hu Lianyu,Lyu Fan,Zhu Lei,Wan Liang,Pun Chi-Man,Feng Wei

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference55 articles.

1. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. arXiv (2014)

2. Camgoz, N.C., Hadfield, S., Koller, O., Ney, H., Bowden, R.: Neural sign language translation. In: CVPR, pp. 7784–7793 (2018)

3. Camgoz, N.C., Koller, O., Hadfield, S., Bowden, R.: Sign language transformers: joint end-to-end sign language recognition and translation. In: CVPR, pp. 10023–10033 (2020)

4. Cheng, K.L., Yang, Z., Chen, Q., Tai, Y.W.: Fully convolutional networks for continuous sign language recognition. In: ECCV, pp. 697–714 (2020)

5. Chung, J., Gulcehre, C., Cho, K., Bengio, Y.: Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv (2014)

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