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Jan, 2020
microbatchGAN:多元敌对鉴别刺激多样性
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
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Gonçalo Mordido, Haojin Yang, Christoph Meinel
TL;DR
本文提出一种新的方法来解决生成对抗网络中的模式崩溃问题,即通过使用多个鉴别器和将每个微批次中的样本分配到不同的鉴别器来逐步改变鉴别器的任务,从而强制生成器创建多样的样本以减少损失。
Abstract
We propose to tackle the
mode collapse problem
in
generative adversarial networks
(GANs) by using
multiple discriminators
and assigning a
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