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One-shot recognition has attracted increasing attention recently, inspired by the fact that human cognitive systems could perform recognition tasks well provided only one or a few labeled training samples, in contrast to the conventional object recognition systems that require a large number of labeled training images. One-shot recognition is a visual classification task, where only one training sample...
Scene categorization is a fundamental problem in computer vision. However, scene understanding research has been constrained by the limited scope of currently-used databases which do not capture the full variety of scene categories. Whereas standard databases for object categorization contain hundreds of different classes of objects, the largest available dataset of scene categories contains only...
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