Rank-smoothed Pairwise Learning In Perceptual Quality Assessment

ICIP, pp. 3413-3417, 2020.

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Abstract:

Conducting pairwise comparisons is a widely used approach in curating human perceptual preference data. Typically raters are instructed to make their choices according to a specific set of rules that address certain dimensions of image quality and aesthetics. The outcome of this process is a dataset of sampled image pairs with their ass...More

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