Ensembles of Generative Adversarial Networks
arXiv: Computer Vision and Pattern Recognition, Volume abs/1612.00991, 2016.
Ensembles are a popular way to improve results of discriminative CNNs. The combination of several networks trained starting from different initializations improves results significantly. In this paper we investigate the usage of ensembles of GANs. The specific nature of GANs opens up several new ways to construct ensembles. The first one ...More
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