Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
Author:
Affiliation:
1. The University of Texas at Austin,Laboratory of Image and Video Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204004.pdf?arnumber=10204004
Reference45 articles.
1. KADID-10k: A Large-scale Artificially Distorted IQA Database
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