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The large amount of SIFT descriptors in an image and the high dimensionality of SIFT descriptor has made problems for large-scale image dataset in terms of speed and scalability. In this paper, we propose a descriptor selection algorithm via dictionary learning and only a small set of features are reserved, which we refer to as TOP-SIFT. We discover the(More)
Clothing appearances have complex visual properties, such as color, texture, shape and structure. Different modalities of visual features provide information complementary to each other. Combining multi-modal visual features can lead to a comprehensive description of Clothing appearances. Meanwhile, categories provide sufficient semantic information, which(More)
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