Low resolution images in face recognition using convolutional neural network
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0164275
Reference8 articles.
1. Low resolution face recognition using a two-branch deep convolutional neural network architecture
2. H. Jia and A. M. Martinez, “Support vector machines in face recognition with occlusions,” 2009 IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. Work. CVPR Work. 2009, vol. 2009 IEEE, pp. 136–141, 2009.
3. Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class
4. Image Processing Identifacation for Indonesian Cake Cuisine using CNN Classification Technique
5. I. Neforawati, N. S. Herman, and O. Mohd, “Precision agriculture classification using convolutional neural networks for paddy growth level,” J. Phys. Conf. Ser., vol. 1193, no. 1, 2019.
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