Self-Quotient Image based CNN

Author:

Xing Xingrun1,Dong Min1,Bi Cheng1,Yang Lin2

Affiliation:

1. School of Information Engineering, Zhengzhou University, Zhengzhou, P.R.C

2. Henan building material research & design institute co., ltd, Zhengzhou, Henan, P.R.C

Publisher

ACM Press

Reference16 articles.

1. Krizhevsky, A.; Sutskever, I..; Hinton, G. E. ImageNet classification with deep convolutional neural networks. In NIPS, Lake Tahoe, Nevada, USA, 2012, pp. 1097--1105.

2. Russakovsky, O.; Deng, J.; Su, H. ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vision. 2015, 4, vol. 115, no. 3, 211--252, 10.1007/s11263-015-0816-y.

3. Hu, Y.; Li, C.; Hu, D.; Yu, W. Gabor Feature Based Convolutional Neural Network for Object Recognition in Natural Scene. In ICISCE, Beijing, China, 2016, pp. 386--390.

4. De Silva, D. D. N.; Fernando, S.; Piyatilake, I. T. S.; Karunarathne, A. V. S. Wavelet based edge feature enhancement for convolutional neural networks. arXiv 2018, arXiv:1809.00982.

5. Lu, T.; Wang, D.; Zhang, Y. Fast object detection algorithm based on HOG and CNN. In ICGIP, Qingdao, China, 2017, p. 1061509.

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