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Improved visible to IR image transformation using synthetic data
  augmentation with cycle-consistent adversarial networks

Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks

25 April 2019
Kyongsik Yun
Kevin Yu
Joseph Osborne
S. Eldin
Luan Nguyen
Alexander Huyen
Thomas Lu
    GAN
ArXivPDFHTML

Papers citing "Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks"

5 / 5 papers shown
Title
Deep Neural Networks for Pattern Recognition
Deep Neural Networks for Pattern Recognition
Kyongsik Yun
Alexander Huyen
Thomas Lu
33
30
0
25 Sep 2018
The Effectiveness of Data Augmentation in Image Classification using
  Deep Learning
The Effectiveness of Data Augmentation in Image Classification using Deep Learning
Luis Perez
Jason Wang
77
2,782
0
13 Dec 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
324
4,624
0
10 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
408
2,935
0
15 Sep 2016
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
215
5,189
0
10 Feb 2015
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