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...
| Автори: | , |
|---|---|
| Формат: | Journal article |
| Опубліковано: |
Springer
2018
|