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HexaGAN: Generative Adversarial Nets for Real World Classification

HexaGAN: Generative Adversarial Nets for Real World Classification

26 February 2019
Uiwon Hwang
Dahuin Jung
Sungroh Yoon
    GAN
ArXivPDFHTML

Papers citing "HexaGAN: Generative Adversarial Nets for Real World Classification"

3 / 3 papers shown
Title
A Deep Learning Framework for Generation and Analysis of Driving
  Scenario Trajectories
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories
A. Demetriou
Henrik Alfsvåg
Sadegh Rahrovani
Morteza Haghir Chehreghani
19
37
0
28 Jul 2020
Synthetic Observational Health Data with GANs: from slow adoption to a
  boom in medical research and ultimately digital twins?
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDa
AI4CE
36
17
0
27 May 2020
Deep Synthetic Minority Over-Sampling Technique
Deep Synthetic Minority Over-Sampling Technique
Hadi Mansourifar
W. Shi
10
33
0
22 Mar 2020
1