A Survey: Image Classification Models Based on Convolutional Neural Networks

Author:

Peng Luzhou1,Qiang Bowen2,Wu Jiacheng3

Affiliation:

1. Shanghai Lixin University of Accounting and Finance,Department of Finance and Public Administration,Shanghai,China

2. Shanghai Normal University,Department of Information, Mechanical and Electrical Engineering,Shanghai,China

3. Shanghai University of Engineering Science,Department of Electric and Electronic Engineering,Shanghai,China

Publisher

IEEE

Reference16 articles.

1. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding;han;ar Xiv preprint ar Xiv,2015

2. Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

3. ImageNet Large Scale Visual Recognition Challenge

4. Some improvements on deep convolutional neural network based image classification;howard;ArXiv Preprint,2013

5. Incremental network quantization: Towards lossless cnns with low-precision weights;zhou;ArXiv Preprint,2017

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