Multihead Self Attention Hand Pose Estimation

Zhiqin Zhang; Bo Zhang; Fen Li; Dehua Kong

doi:10.1051/e3sconf/202021803023

All issues

Volume 218 (2020)

E3S Web Conf., 218 (2020) 03023

References

Open Access

Issue		E3S Web Conf. Volume 218, 2020 2020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)


Article Number		03023
Number of page(s)		4
Section		Environmental Chemistry and Environmental Pollution Analysis and Control
DOI		https://doi.org/10.1051/e3sconf/202021803023
Published online		11 December 2020

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[1] Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. Neural machine translation by jointly learning to align and translate. In Third International Conference on Learning Representations, 2015. [Google Scholar]

[2] Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. Deep contextualized word representations. arXiv preprint arXiv:1802.05365, 2018. [Google Scholar]

[3] Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. Attention is all you need. In Advances in neural information processing systems, 2017. [Google Scholar]

[4] A. Toshev and C. Szegedy. Deeppose: Human pose estimation via deep neural networks. In Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pages 1653–1660, 2014 [Google Scholar]

[5] J. Tompson, M. Stein, Y. Lecun, and K. Perlin. RealTime Continuous Pose Recovery of Human Hands Using Convo lutional Networks. ACM Transactions on Graphics, 33(5): 1–10, Sept. 2014 [CrossRef] [Google Scholar]

[6] M. Oberweger, P. Wohlhart, and V. Lepetit. Hands deep in deep learning for hand pose estimation. arXiv preprint arXiv:1502.06807, 2015. [Google Scholar]

[7] S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh. Convolutional pose machines. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 4724–4732, 2016. [Google Scholar]

[8] J. Zhang, J. Jiao, M. Chen, L. Qu, X. Xu, and Q. Yang. 3d Hand Pose Tracking and Estimation Using Stereo Matching. arXiv preprint arXiv:1610.07214, 2016. [Google Scholar]

[9] P. Dreuw, T. Deselaers, D. Keysers, and H. Ney. Modeling image variability in appearance-based gesture recognition. In ECCV Workshop on Statistical Methods in Multi-Image and Video Processing, pages 7–18, Graz, Austria, May 2006. [Google Scholar]