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. Aiming at filling this gap, we investigate three key mathematical properties of representations: equivariance,...
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| Формат: | Conference item |
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IEEE
2015
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Understanding Image Representations by Measuring Their Equivariance and Equivalence
Хэвлэсэн 2018
Journal article