Improving Robustness of Single Image Super-Resolution Models with Monte Carlo Method

Author:

Yang Cuixin1,Xiao Jun1,Ju YaKun1,Qiu Guoping2,Lam Kin-Man1

Affiliation:

1. The Hong Kong Polytechnic University,Department of Electronic and Information Engineering,HongKong

2. University of Nottingham,School of Computer Science,United Kingdom

Funder

Impact Fund

Publisher

IEEE

Reference24 articles.

1. Pre-Trained Image Processing Transformer

2. Dropout as a bayesian approximation: Representing model uncertainty in deep learning;gal;International Conference on Machine Learning,2016

3. Image super-resolution using very deep residual channel attention networks;zhang;Proceedings of the European Conference on Computer Vision (ECCV),2018

4. Visualizing the loss landscape of neural nets;li;Advances in neural information processing systems,2018

5. Attention is all you need;vaswani;Advances in neural information processing systems,2017

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