Image robust recognition based on feature-entropy-oriented differential fusion capsule network-Reference-Cited by-同舟云学术

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Image robust recognition based on feature-entropy-oriented differential fusion capsule network

Published:2020-09-16 Issue:2 Volume:51 Page:1108-1117
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Qian Kui,Tian Lei,Liu Yiting,Wen Xiulan,Bao Jiatong

Funder

Nanjing Institute of Technology High-level Scientific Research Foundation for the introduction of talent

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-020-01873-3.pdf

Reference30 articles.

1. Browne M, Ghidary SS (2003) Convolutional neural networks for image processing: an application in robot vision[C]. In: Australasian Joint Conference on Artificial Intelligence. Springer, Berlin, pp 641–652

2. Deng S, Tian Y, Hu X, et al (2012) Application of new advanced CNN structure with adaptive thresholds to color edge detection[J]. Commun. Nonlinear Sci. Numer. Simul. 17(4):1637–1648

3. Zhang K, Zuo W, Chen Y, et al (2017) Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising[J]. IEEE Trans. Image Process. 26(7):3142–3155

4. Radenović F, Tolias G, Chum O, Fine-tuning CNN (2018) image retrieval with no human annotation[J]. IEEE Trans Pattern Anal Mach Intell 41(7):1655–1668

5. Chen M C, Ball R L, Yang L, et al (2018) Deep learning to classify radiology free-text reports[J]. Radiology 286(3):845–852

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