Multi-View Fusion for Sign Language Recognition through Knowledge Transfer Learning-Reference-Cited by-同舟云学术

Multi-View Fusion for Sign Language Recognition through Knowledge Transfer Learning

Published:2022-12-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
language:
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Author:

Gao Liqing¹^ORCID,Zhu Lei²^ORCID,Xue Senhua¹^ORCID,Wan Liang¹^ORCID,Li Ping³^ORCID,Feng Wei¹^ORCID

Affiliation:

1. College of Intelligence and Computing, Tianjin University, China

2. Thrust of Robotics and Autonomous Systems (ROAS), The Hong Kong University of Science and Technology (Guangzhou), China and Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong

3. The Hong Kong Polytechnic University, Hong Kong

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3574131.3574434

Reference44 articles.

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2. Necati Cihan Camgoz Simon Hadfield Oscar Koller and Richard Bowden. 2017. SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition. In ICCV. Necati Cihan Camgoz Simon Hadfield Oscar Koller and Richard Bowden. 2017. SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition. In ICCV.

3. Joao Carreira and Andrew Zisserman. 2017. Quo vadis action recognition? a new model and the kinetics dataset. In CVPR. 6299–6308. Joao Carreira and Andrew Zisserman. 2017. Quo vadis action recognition? a new model and the kinetics dataset. In CVPR. 6299–6308.

4. Xiujuan Chai Guang Li Yushun Lin Zhihao Xu Yili Tang Xilin Chen and Ming Zhou. 2013. Sign language recognition and translation with kinect. In FG. Xiujuan Chai Guang Li Yushun Lin Zhihao Xu Yili Tang Xilin Chen and Ming Zhou. 2013. Sign language recognition and translation with kinect. In FG.

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