In-situ recognition of hand gesture via Enhanced Xception based single-stage deep convolutional neural network
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference45 articles.
1. June). Improving the performance of unimodal dynamic hand-gesture recognition with multimodal training;Abavisani,2019
2. January). A deep convolutional neural network approach for static hand gesture recognition;Adithya;Procedia Computer Science,2020
3. Amjoud A. B., & Amrouch M. (2020). Convolutional Neural Networks Backbones for Object Detection. In: El Moataz A., Mammass D., Mansouri A., Nouboud F. (eds) Image and Signal Processing. ICISP 2020. Lecture Notes in Computer Science, 12119. Springer. https://doi.org/10.1007/978-3-030-51935-3_30.
4. Bose, S. R., & Kumar, V. S. (2021). In-situ identification and recognition of multi-hand gestures using optimized deep residual network, Journal of intelligent and fuzzy systems, IOS Press, Pre-press, pp. 1-15, doi:10.3233/JIFS-210875.
5. Bose, S. R., & Kumar, V. S. (2021). Precise Recognition of Vision-Based Multi-hand Signs Using Deep Single Stage Convolutional Neural Network. In: Singh S. K., Roy P., Raman B., Nagabhushan P. (eds). Computer Vision, and Image Processing. CVIP 2020. Communications in Computer and Information Science, 1377. Springer. https://doi.org/10.1007/978-981-16-1092-9_27.
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