Pseudo-Labeling and Meta Reweighting Learning for Image Aesthetic Quality Assessment
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DOI: 10.1109/tits.2022.3207152
Abstract: In the tasks of image aesthetic quality assessment, it is difficult to reach both the high score area and low score area due to the normal distribution of aesthetic datasets. To reduce the error in… read more here.
Keywords: quality assessment; image aesthetic; aesthetic quality; meta reweighting ... See more keywords