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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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Détails bibliographiques
Auteurs principaux: Lenc, Karel, Vedaldi, Andrea
Format: Online Article Texte
Langue:English
Publié: Springer US 2018
Sujets:
Accès en ligne:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510825/
https://www.ncbi.nlm.nih.gov/pubmed/31148885
http://dx.doi.org/10.1007/s11263-018-1098-y