Abstract: Training data-driven IQA models is trapped in large size datasets, and when assessing authentic images with unknown distortion types, insufficient labeled data can lead to the decrease in ...
Abstract: Image Aesthetic Assessment (IAA) aims to rate the aesthetic quality of images and has many practical applications. However, existing methods typically rely on limited annotated data for ...
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