Adaptive Residual Networks for High-Quality Image Restoration

Image restoration methods based on convolutional neural networks have shown great success in the literature. However, since most of networks are not deep enough, there is still some room for the performance improvement. On the other hand, though some models are deep and introduce shortcuts for easy training, they ignore the importance of location and scaling of different inputs within the shortcut...