Which variation of GANs uses two discriminators: one as a typical binary classifier and the other as a score function?

Question

BlackTom AI · Accepted Answer

Before evaluating the choices, let's recall the core idea: in this variation of GANs, the architecture employs two discriminators with distinct roles to guide the generator.
Option 1: QuantGAN. This would typically imply a model designed to handle quantitative measurements or to quantify uncertainty, but the hallmark two-discriminator setup with a separate score function is not standardly associated with QuantGAN. Therefore, this option seems mismatched to the described architecture.
Option 2: regGAN. This choice matches the description because regGAN is described as using two discriminators: one functioning as a conventional binary classifier to distinguish real vs. fake samples, and another acting as a score function to regulate the generator through a separate objective. This aligns with a two-pronged defender setup where one discriminator provides the typical adversarial signal and the other supplies a continuous score for regularization or guidance.
Option 3: TAGAN. TAGAN is typically known for targeted or conditional adversarial setups, especially in contexts like text-to-image or attribute-conditioned generation, but it is not characteristically defined by a dual-discriminator arrangement that includes a dedicated score function. Hence, this option does not fit the described mechanism.
In summary, you can weigh each option by checking whether the described two-discriminator structure with a separate score function is a defining feature. The first option lacks that specific two-discriminator interpretation, the second explicitly states the dual-discriminator design with a scoring role, and the third does not inherently imply this architecture. The reasoning for each option reflects how well it matches the given architectural description.

Learning AI Through Visualization 4 Module 6 Quiz

Which variation of GANs uses two discriminators: one as a typical binary classifier and the other as a score function?

查看解析

登录即可查看完整答案

类似问题

Reference Figure 1. Typically early in training, the value of D(G(z)) is closer to which of the following values?

Reference Figure 1. You know that your GAN is trained when D(G(z)) is close to 1

Reference Figure 1. Two cost functions are presented in the figure, which one would you use to train your GAN?

Generative adversarial networks (GANs) learn a parameterized density function, p(x).

Why did Elgammal switch from Generative Adversarial Networks (GAN) to Creative Adversarial Networks (CAN) to create variations of the images he collected for AI artwork development?

What is the primary objective of the discriminator in a GAN during training?

What are the two networks that make up a GAN?

Why were GANs designed to avoid using Markov chains?

更多留学生实用工具

考试浏览器助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单