1 "http://cocodataset.org"
2 K. Simonyan, "Very deep convolutional networks for large-scale image recognition" 2015
3 O. Ronneberger, "U-Net:Convolutional networks for biomedical image segmentation" 234-241, 2015
4 H. Dong, "TensorLayer: A versatile library for efficient deep learning development" 1201-1204, 2017
5 K. S. Heo, "Restoration of image intensity using deep learning" 2019
6 C. Ledig, "Photo-realistic single image super-resolution using a generative adversarial network" 105-114, 2017
7 J. Johnson, "Perceptual losses for real-time style transfer and superresolution" 694-711, 2016
8 W. Shi, "Is the deconvolution layer the same as a convolutional layer?"
9 C. Dong, "Image super-resolution using deep convolutional networks" 38 (38): 295-307, 2016
10 X. Hou, "Image companding and inverse halftoning using deep convolutional neural networks"
1 "http://cocodataset.org"
2 K. Simonyan, "Very deep convolutional networks for large-scale image recognition" 2015
3 O. Ronneberger, "U-Net:Convolutional networks for biomedical image segmentation" 234-241, 2015
4 H. Dong, "TensorLayer: A versatile library for efficient deep learning development" 1201-1204, 2017
5 K. S. Heo, "Restoration of image intensity using deep learning" 2019
6 C. Ledig, "Photo-realistic single image super-resolution using a generative adversarial network" 105-114, 2017
7 J. Johnson, "Perceptual losses for real-time style transfer and superresolution" 694-711, 2016
8 W. Shi, "Is the deconvolution layer the same as a convolutional layer?"
9 C. Dong, "Image super-resolution using deep convolutional networks" 38 (38): 295-307, 2016
10 X. Hou, "Image companding and inverse halftoning using deep convolutional neural networks"
11 R. P. Kovaleski, "High-quality reverse tone mapping for a wide range of exposures" 2014
12 G. Eilertsen, "HDR image reconstruction from a single exposure using deep CNNs" 36 (36): 2017
13 G. Huang, "Densely connected convolutional networks" 4700-4708, 2017
14 K. He, "Deep residual learning for image recognition" 770-778, 2016
15 D. Kingma, "Adam: A method for stochastic optimization" 2015