Optics and Precision Engineering, Volume. 31, Issue 15, 2287(2023)
Simulating primary visual cortex to improve robustness of CNN neural network structures
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Fig. 4. Accuracy comparison of original network and reconstructed network of VVNet on dataset Cifar10 for three common networks
Fig. 5. Comparison of image classification accuracy for four types of noise images using VVNet network， VOneNet network， and original network model
Table 1. Accuracy for three network in different architectures on dataset Cifar10
View tableView in ArticleTable 1. Accuracy for three network in different architectures on dataset Cifar10
Network VVNet VOneNet None Epoch AlexNet 0.623 0.574 0.617 50 DenseNet 0.787 0.674 0.765 VGG 0.773 0.687 0.772
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Lijuan ZHANG, Mengda HU, Ziwei ZHANG, Yutong JIANG, Dongming LI. Simulating primary visual cortex to improve robustness of CNN neural network structures[J]. Optics and Precision Engineering, 2023, 31(15): 2287
Paper Information
Category: Information Sciences
Received: Feb. 14, 2023
Accepted: --
Published Online: Sep. 5, 2023
The Author Email: LI Dongming (LDM0214@163.com)
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