From Distortion Manifold to Perceptual Quality: a Data Efficient Blind Image Quality Assessment Approach

•We explore to improve generalize ability of blind IQA models with limited training data•We propose to explicitly learn a distortion manifold•A novel model proposed to extract both low level distortion patterns and high level semantic information•An effective training framework including a masked labeling strategy and a gradual weighting curriculum