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Recently, realistic image generation using deep neural networks has become a hot topic in machine learning and computer vision. Such an image can be generated at pixel level by learning from a large collection of images. Learning to generate colorful cartoon images from black-and-white sketches is not only an interesting research problem, but also a useful application in digital entertainment. In...
Text recognition in natural scene image is an important yet challenging problem by its irregular nature. A novel method based on random projection and deep neural network(DNN) is proposed in this article. Firstly the word image is converted to multi-layers' convolutional neural network(CNN) feature sequence with sliding window. Then random projection(RP) is used to embed the original high-dimensional...
Writer adaptation is an important topic in handwriting recognition, which can further improve the performance of writer-independent recognizer. In this paper, we propose combining the neural network classifier with style transfer mapping (STM) for unsupervised writer adaptation, which only require writer-specific unlabeled data, and therefore is more common and efficient compared to supervised adaptation...
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