Learning scale-variant and scale-invariant features for deep image classification

3 Feb 2016Nanne van NoordEric Postma

Convolutional Neural Networks (CNNs) require large image corpora to be trained on classification tasks. The variation in image resolutions, sizes of objects and patterns depicted, and image scales, hampers CNN training and performance, because the task-relevant information varies over spatial scales... (read more)

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