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DiffAug: Enhance Unsupervised Contrastive Learning with
  Domain-Knowledge-Free Diffusion-based Data Augmentation

DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation

10 September 2023
Z. Zang
Hao Luo
K. Wang
Panpan Zhang
F. Wang
Stan. Z Li
Yang You
ArXivPDFHTML

Papers citing "DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation"

4 / 4 papers shown
Title
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
A Primer on Contrastive Pretraining in Language Processing: Methods,
  Lessons Learned and Perspectives
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
Nils Rethmeier
Isabelle Augenstein
SSL
VLM
61
90
0
25 Feb 2021
Understanding How Dimension Reduction Tools Work: An Empirical Approach
  to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Yingfan Wang
Haiyang Huang
Cynthia Rudin
Yaron Shaposhnik
157
300
0
08 Dec 2020
Image GANs meet Differentiable Rendering for Inverse Graphics and
  Interpretable 3D Neural Rendering
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Yuxuan Zhang
Wenzheng Chen
Huan Ling
Jun Gao
Yinan Zhang
Antonio Torralba
Sanja Fidler
DRL
98
138
0
18 Oct 2020
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