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UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment.
Juntao Chen
Li Lin
Pujin Cheng
Yijin Huang
Xiaoying Tang
Published in:
CoRR (2022)
Keyphrases
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image quality assessment
image quality
quality assessment
image processing
clustering algorithm
k means
probabilistic model
image registration
unsupervised learning
visual perception
natural scene statistics