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pro vyhledávání: '"Alence, Mark"'
Autor:
Ambekar, Sameer, Tafuro, Matteo, Ankit, Ankit, van der Mast, Diego, Alence, Mark, Athanasiadis, Christos
With the usage of appropriate inductive biases, Counterfactual Generative Networks (CGNs) can generate novel images from random combinations of shape, texture, and background manifolds. These images can be utilized to train an invariant classifier, a
Externí odkaz:
http://arxiv.org/abs/2208.04226