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Found 2 papers, 2 papers with code
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination
Recently, many convolutional neural networks for single image super-resolution (SISR) have been proposed, which focus on reconstructing the high-resolution images in terms of objective distortion measures.
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network
For training our network, we develop a cross-entropy based loss function that addresses the imbalance problems.
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