Sign Language Recognition Based on CBAM-ResNet

Author:

Chao Huang1,Fenhua Wang1,Ran Zhang1

Affiliation:

1. School of Automation and Electrical Engineering, USTB, Beijing China

Publisher

ACM Press

Reference14 articles.

1. D. Tran, L. Bourdev, R. Fergus, L. Torresani and M. Paluri (2015). Learning spatiotemporal features with 3d convolutional networks. Proceedings of the IEEE international conference on computer vision, Santiago Chile, 4489--4497.

2. J. Huang, W. Zhou, Q. Zhang, H. Li and W. Li (2018). Video-based Sign Language Recognition without Temporal Segmentation. Thirty-Second AAAI Conference on Artificial Intelligence, Louisiana USA.

3. S. Woo, J. Park, J. Y. Lee and I. S (2018). Kweon, Cbam: Convolutional block attention module. Proceedings of the European Conference on Computer Vision, Munich Germany, 3--19.

4. S. H. Gao, M. M. Cheng, K. Zhao, X. Y. Zhang, M. H. Yang and P.Torr, "Res2Net: A New Multi-scale Backbone Architecture," unpublished.

5. K. Grobel and M. Assan (1997). Isolated sign language recognition using hidden Markov models. 1997 IEEE International Conference on Systems, Man and Cybernetics, USA, 162--167.

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