Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative adversarial networks

Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. However, evaluating the performance of GANs is still an open and challenging problem.

Data and Resources

Cite this as

Zhengwei Wang, Qi She, Alan F. Smeaton, Tomás E. Ward, Graham Healy (2024). Dataset: Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative adversarial networks. https://doi.org/10.57702/5mcr9ucx

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2003.03193
Author Zhengwei Wang
More Authors
Qi She
Alan F. Smeaton
Tomás E. Ward
Graham Healy
Homepage https://github.com/villawang/Neuro-AI-Interface