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AutoAugment: Learning Augmentation Policies from Data

AutoAugment: Learning Augmentation Policies from Data

24 May 2018
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
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Papers citing "AutoAugment: Learning Augmentation Policies from Data"

6 / 256 papers shown
Title
Adapting Semantic Segmentation Models for Changes in Illumination and
  Camera Perspective
Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective
W. Zhou
Alex Zyner
Stewart Worrall
E. Nebot
14
21
0
13 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
16
122
0
10 Sep 2018
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OOD
MLT
47
1,307
0
23 May 2018
A Kernel Theory of Modern Data Augmentation
A Kernel Theory of Modern Data Augmentation
Tri Dao
Albert Gu
Alexander J. Ratner
Virginia Smith
Christopher De Sa
Christopher Ré
11
190
0
16 Mar 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
RenderGAN: Generating Realistic Labeled Data
RenderGAN: Generating Realistic Labeled Data
Leon Sixt
Benjamin Wild
Tim Landgraf
GAN
155
174
0
04 Nov 2016
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