Twins-Mix: Self Mixing in Latent Space for Reasonable Data Augmentation of 3D Computer-Aided Design Generative Modeling
Author:
Affiliation:
1. Fudan University,School of Computer Science,Shanghai,China
Funder
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219853.pdf?arnumber=10219853
Reference27 articles.
1. ReMix: Towards Image-to-Image Translation with Limited Data
2. SuperMix: Supervising the Mixing Data Augmentation
3. Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
4. CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
5. StyleMix: Separating Content and Style for Enhanced Data Augmentation
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