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Data Augmentation via Mixed Class Interpolation using Cycle-Consistent
  Generative Adversarial Networks Applied to Cross-Domain Imagery
v1v2 (latest)

Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery

International Conference on Pattern Recognition (ICPR), 2020
5 May 2020
Hiroshi Sasaki
Chris G. Willcocks
T. Breckon
ArXiv (abs)PDFHTML

Papers citing "Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery"

1 / 1 papers shown
Image-to-image Translation as a Unique Source of Knowledge
Image-to-image Translation as a Unique Source of Knowledge
Alejandro D. Mousist
VLM
329
0
0
03 Dec 2021
1
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