A noise robust convolutional neural network for image classification

A noise robust convolutional neural network for image classification

Convolutional Neural Networks (CNNs) are extensively used for image classification. Noisy images reduce the classification performance of convolutional neural networks and increase the training time of the networks. In this paper, a Noise-Robust Convolutional Neural Network (NR-CNN) is proposed to c...

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Bibliographic Details
Main Authors: Mohammad Momeny, Ali Mohammad Latif, Mehdi Agha Sarram, Razieh Sheikhpour, Yu Dong Zhang
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Results in Engineering
Subjects:
Convolutional neural network
Noise
Image classification
Adaptive pooling
Adaptive convolution
Adaptive data augmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123021000268

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http://www.sciencedirect.com/science/article/pii/S2590123021000268

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