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Deep Learning with Inaccurate Training Data for Image Restoration
In many applications of deep learning, particularly those in image restoration, it is either very difficult, prohibitively expensive, or outright impossible to obtain paired training data precisely as in the real world.
Demoiréing of Camera-Captured Screen Images Using Deep Convolutional Neural Network
Taking photos of optoelectronic displays is a direct and spontaneous way of transferring data and keeping records, which is widely practiced.
Fast Screening Algorithm for Rotation and Scale Invariant Template Matching
This paper presents a generic pre-processor for expediting conventional template matching techniques.
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