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Image blur and image noise are common distortions during image acquisition.
“Gradient-based learning applied to document recognition,”
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner, · 1998
Earlier work this paper cites.
“A review of image denoising algorithms, with a new one,”
Antoni Buades, Bartomeu Coll, and Jean-Michel Morel, · 2005
Earlier work this paper cites.
“Reducing the dimensionality of data with neural networks,”
Geoffrey E Hinton and Ruslan R Salakhutdinov, · 2006
Earlier work this paper cites.
“Learning multiple layers of features from tiny images,” 2009
Alex Krizhevsky and Geoffrey Hinton, · 2009
Earlier work this paper cites.
“ImageNet: A Large-Scale Hierarchical Image Database,”
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, · 2009
Earlier work this paper cites.
“Adding noise to the input of a model trained with a regularized objective,”
Salah Rifai, Xavier Glorot, Yoshua Bengio, and Pascal Vincent, · 2011
Earlier work this paper cites.
“Imagenet classification with deep convolutional neural networks,”
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton, · 2012
Earlier work this paper cites.
“Cnn features off-the-shelf: an astounding baseline for recognition,”
Ali Razavian, Hossein Azizpour, Josephine Sullivan, and Stefan Carlsson, · 2014
Earlier work this paper cites.
“Very deep convolutional networks for large-scale image recognition,”
K. Simonyan and A. Zisserman, · 2014
Cited alongside, same era.
“Early melanoma diagnosis with mobile imaging,”
Thanh-Toan Do, Yiren Zhou, Haitian Zheng, Ngai-Man Cheung, and Dawn Koh, · 2014
Cited alongside, same era.
“How transferable are features in deep neural networks?,”
Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson, · 2014
Cited alongside, same era.
“Deep learning with noise,” http://www.andrew.cmu.edu/user/fanyang1/deep-learning-with-noise.pdf
Yixin Luo and Fan Yang, · 2014
Cited alongside, same era.
“Deep residual learning for image recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2015
Cited alongside, same era.
“Convolutional neural networks for direct text deblurring,”
Michal Hradiš, Jan Kotera, Pavel Zemcík, and Filip Šroubek, · 2015
Later among the works it cites.
“Smartphone and mobile image processing for assisted living,”
Hossein Nejati, V Pomponiu, Thanh-Toan Do, Yiren Zhou, S Iravani, and Ngai-Man Cheung, · 2016
Later among the works it cites.
“Deepmole: Deep neural networks for skin mole lesion classification,”
V Pomponiu, H Nejati, and Ngai-Man Cheung, · 2016
Later among the works it cites.
“Computation and memory efficient image segmentation,”
Yiren Zhou, Thanh-Toan Do, H Zheng, Ngai-Man Cheung, and Lu Fang, · 2016
Later among the works it cites.
“Understanding how image quality affects deep neural networks,”
Samuel Dodge and Lina Karam, · 2016
Later among the works it cites.
“DeepLearning documentation,” http://deeplearning.net/tutorial/contents.html
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“Learning sparse feature representations using probabilistic quadtrees and deep belief nets,”
Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, and Ramakrishna Nemani, · 2015
Cited alongside, same era.
“Deep learning face attributes in the wild,”
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang, · 2015
Cited alongside, same era.
“ImageNet Large Scale Visual Recognition Challenge,”
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei, · 2015
Cited alongside, same era.
“Matconvnet – convolutional neural networks for matlab,”
A. Vedaldi and K. Lenc,
Cited in the paper.
2016
Later among the works it cites.
“Gmvp: gradient magnitude and variance pooling-based image quality assessment in sensor networks,”
Zhong Zhang and Shuang Liu, · 2016
Later among the works it cites.