Overcoming challenges in leveraging GANs for few-shot data augmentation

Overcoming challenges in leveraging GANs for few-shot data augmentation

30 March 2022

Christopher Beckham

Pau Rodríguez López

David Vazquez

Derek Nowrouzezahrai

Papers citing "Overcoming challenges in leveraging GANs for few-shot data augmentation"

5 / 5 papers shown

Title
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging Muhammad Muneeb Saad M. H. Rehmani Ruairi O'Reilly 45 1 0 31 May 2024
Instance-Conditioned GAN Arantxa Casanova Marlene Careil Jakob Verbeek M. Drozdzal Adriana Romero Soriano GAN 209 134 0 10 Sep 2021
MatchingGAN: Matching-based Few-shot Image Generation Y. Hong Li Niu Jianfu Zhang Liqing Zhang VLM GAN 58 68 0 07 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 309 10,378 0 12 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 466 11,715 0 09 Mar 2017