Fast‐moving coin recognition using deep learning-Reference-Cited by-同舟云学术

Fast‐moving coin recognition using deep learning

Published:2021-03-30 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Xiang Yufeng,Yan Wei Qi

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-021-10857-5.pdf

Reference35 articles.

1. Ballester P, Araujo RM (2016) On the performance of GoogLeNet and AlexNet applied to sketches. In: AAAI Conference on Artificial Intelligence

2. Chavan S, Fernandes C, Dumane PR, Varma SL (2020) Design and implementation of automatic coin dispensing machine. In: ICCCE 2019, pp 379–385

3. Chen L-C, Papandreou G, Kokkinos I, Murphy K, Yuille AL (2014) Semantic image segmentation with deep convolutional nets and fully connected CRFs. arXiv:1412.7062

4. Ciaburro G, Venkateswaran B (2017) Neural networks with R: Smart models using CNN, RNN. Deep learning, and artificial intelligence principles, Packt Publishing Ltd, Birmingham

5. Dabic S (2013) Coin identification method and apparatus, Google Patents

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