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Face images captured by real-world video surveillance applications usually have low resolution. This leads to poor performance or even failure of most face recognition algorithms. As a consequence, identifying the face of the query in low resolution, based on the high-resolution image gallery, proves to be a huge challenge. To address this problem, a novel multi-resolution convolutional neural network...
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