HGAN: Hyperbolic Generative Adversarial Network
Date Issued
2021
Author(s) USM
DOI
10.1109/ACCESS.2021.3094723
Abstract
Recently, Hyperbolic Spaces in the context of Non-Euclidean Deep Learning have gained popularity because of their ability to represent hierarchical data. We propose that it is possible to take advantage of the hierarchical characteristic present in the im
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