Understanding Image Representations by Measuring Their Equivariance and Equivalence

Despite the importance of image representations such as histograms of oriented gradients and deep Convolutional Neural Networks (CNN), our theoretical understanding of them remains limited. Aimed at filling this gap, we investigate two key mathematical properties of representations: equivariance and...

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Bibliographic Details
Main Authors: Lenc, K, Vedaldi, A
Format: Journal article
Published: Springer 2018