Rank smoothed pairwise learning in perceptual quality assessment

Hossein Talebi
Hossein Talebi
Peyman Milanfar
Peyman Milanfar

2020 IEEE International Conference on Image Processing (ICIP), pp. 3413-3417, 2020.

Cited by: 2|Views8

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 assoc...More

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