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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
I. Laradji
Pau Rodríguez López
David Vazquez
Derek Nowrouzezahrai
C. Pal
ArXivPDFHTML

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
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
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
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
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
306
10,378
0
12 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
454
11,715
0
09 Mar 2017
1