Versatile Auxiliary Classification and Regression With Generative Adversarial Networks

Versatile Auxiliary Classification and Regression With Generative Adversarial Networks

One of the most interesting challenges in Artificial Intelligence is to train conditional generators which are able to provide labeled adversarial samples drawn from a specific distribution. For a successful implementation of conditional generators, the created samples are constrained to a specific...

Full description

Bibliographic Details
Main Authors: Shabab Bazrafkan, Viktor Varkarakis, Joseph Lemley, Hossein Javidnia, Peter Corcoran
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Conditional generators
deep neural networks
generative adversarial networks
Online Access:https://ieeexplore.ieee.org/document/9369348/

Internet

https://ieeexplore.ieee.org/document/9369348/

Similar Items