TIM-SLR: a lightweight network for video isolated sign language recognition

Author:

Wang FeiORCID,Zhang Libo,Yan Hao,Han Shuai

Funder

National Natural Science Foundation of China under Grant

Fundamental Research Funds for the Central Universities of China under Grant

Central Government Guides the Local Science And Technology Development Special Fund

Innovative Talents Support Program of Liaoning Provincial Universities

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference65 articles.

1. Aich D, Al Zubair A, Hasan K. Z, Nath A. D, Hasan Z (2020) “A deep learning approach for recognizing bengali character sign langauage,” In: 11th international conference on computing, communication and networking technologies (ICCCNT). IEEE, 2020, pp. 1–5

2. Hasan M. M, Srizon A. Y, Sayeed A, Hasan M. A. M (2020) “Classification of sign language characters by applying a deep convolutional neural network.” In: 2nd international conference on advanced information and communication technology (ICAICT). IEEE, 2020, pp. 434–438

3. Töngi R (2021) “Application of transfer learning to sign language recognition using an inflated 3d deep convolutional neural network.” arXiv preprint arXiv:2103.05111

4. De Coster M, Van Herreweghe M, Dambre J (2021) “Isolated sign recognition from rgb video using pose flow and self-attention.” In: proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 3441–3450

5. Huang J, Zhou W, Li H, Li W, “Sign language recognition using 3d convolutional neural networks.” In: (2015) IEEE international conference on multimedia and expo (ICME). IEEE 2015: 1–6

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