Improved Image Classification Accuracy by Convolutional Neural Networks

Author:

Liu Litao1

Affiliation:

1. International School, Beijing University of Posts and Telecommunications, China

Publisher

ACM

Reference14 articles.

1. Wang SY , Wang O , Zhang R , Owens A , Efros AA. CNN-generated images are surprisingly easy to spot... for now . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020 (pp. 8695-8704) . Wang SY, Wang O, Zhang R, Owens A, Efros AA. CNN-generated images are surprisingly easy to spot... for now. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020 (pp. 8695-8704).

2. Qin J Pan W Xiang X Tan Y Hou G. A biological image classification method based on improved CNN. Ecological Informatics. 2020 Jul 1;58:101093. Qin J Pan W Xiang X Tan Y Hou G. A biological image classification method based on improved CNN. Ecological Informatics. 2020 Jul 1;58:101093.

3. D. Ciresan , A. Giusti , J. Schmidhuber, Deep neural networks segment neuronal membranes in electron microscopy images . In NIPS , 2012 . 1 D. Ciresan, A. Giusti, J. Schmidhuber, Deep neural networks segment neuronal membranes in electron microscopy images. In NIPS, 2012. 1

4. L. N. Clement Farabet , Camille Couprie and Y. LeCun .Learning hierarchical features for scene labeling. PAMI , 35 ( 8 ), 2013 . 1 , 2 L. N. Clement Farabet, Camille Couprie and Y. LeCun.Learning hierarchical features for scene labeling. PAMI,35(8), 2013. 1, 2

5. A.S. Razavian H. Azizpour J. Sullivan S. Carlsson 2014. CNN Features off-the-shelf: an Astounding Baseline. CoRR abs/1403.6382. A.S. Razavian H. Azizpour J. Sullivan S. Carlsson 2014. CNN Features off-the-shelf: an Astounding Baseline. CoRR abs/1403.6382.

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