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Self-supervised Fine-tuning for Correcting Super-Resolution
  Convolutional Neural Networks

Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks

30 December 2019
Alice Lucas
S. Tapia
Rafael Molina
Aggelos K. Katsaggelos
    SupR
ArXivPDFHTML

Papers citing "Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks"

2 / 2 papers shown
Title
Generative Adversarial Networks and Perceptual Losses for Video
  Super-Resolution
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
Alice Lucas
Santiago López-Tapia
Rafael Molina
Aggelos K. Katsaggelos
GAN
SupR
36
171
0
14 Jun 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1