Animesh Karmakar

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We propose a formulation and supervised training method for a kernel that learns semantic similarity between pairs of images. Because image class label already captures semantics, we suggest that if an image pair belongs to the same class, no matter what that class is, then it can be deemed semantically similar. Thus, our kernel takes a pair of images as(More)
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