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Exploring DeshuffleGANs in Self-Supervised Generative Adversarial
  Networks
v1v2 (latest)

Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks

3 November 2020
Gulcin Baykal
Furkan Ozcelik
Gözde B. Ünal
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks"

4 / 4 papers shown
Self-Supervised Learning for Text Recognition: A Critical Survey
Self-Supervised Learning for Text Recognition: A Critical SurveyInternational Journal of Computer Vision (IJCV), 2024
Carlos Peñarrubia
J. J. Valero-Mas
Jorge Calvo-Zaragoza
530
8
0
29 Jul 2024
Know Your Self-supervised Learning: A Survey on Image-based Generative
  and Discriminative Training
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Utku Ozbulak
Hyun Jung Lee
Beril Boga
Esla Timothy Anzaku
Ho-min Park
Arnout Van Messem
W. D. Neve
J. Vankerschaver
DiffM
325
51
0
23 May 2023
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual
  Representation Learning
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning
T. Pham
Chaoning Zhang
Axi Niu
Kang Zhang
Chang D. Yoo
211
12
0
11 Aug 2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Augmentation-Aware Self-Supervision for Data-Efficient GAN TrainingNeural Information Processing Systems (NeurIPS), 2022
Liang Hou
Qi Cao
Yige Yuan
Songtao Zhao
Chongyang Ma
Siyuan Pan
Pengfei Wan
Xiaoshuang Li
Huawei Shen
Xueqi Cheng
562
13
0
31 May 2022
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