Learning Multi-Instance Deep Discriminative Patterns for Image Classification

IEEE Trans. Image Processing, Volume 26, Issue 7, 2017, Pages 3385-3396.

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Abstract:

Finding an effective and efficient representation is very important for image classification. The most common approach is to extract a set of local descriptors, and then aggregate them into a high-dimensional, more semantic feature vector, like unsupervised bag-of-features and weakly supervised part-based models. The latter one is usually...More

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