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Comparison between layer-to-layer network training and conventional network training using Deep Convolutional Neural Networks
Our experiments show that the layer-to-layer training method outperforms the conventional training method for both models.
A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution
In this paper, we introduce frequency domain loss as a constraint to further improve the quality of the RefSR results with fine details and without obvious artifacts.
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