Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild

Author:

Saha Avinab1,Mishra Sandeep1,Bovik Alan C.1

Affiliation:

1. The University of Texas at Austin,Laboratory of Image and Video Engineering

Publisher

IEEE

Reference45 articles.

1. KADID-10k: A Large-scale Artificially Distorted IQA Database

2. Image Quality Assessment: From Error Visibility to Structural Similarity

3. Most apparent distortion: full-reference image quality assessment and the role of strategy;cooper larson;Journal of Electronic Imaging,2010

4. Attention is all you need;vaswani;CoRR,2017

5. SGDR: stochastic gradient descent with restarts;loshchilov;CoRR,2016

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