Performance results of MultiGAP-NRIQA on KADID-10k alongside our reimplementation, both with and without data leakage.

The last column designates whether the splits were sampled correctly considering content (green checkmarks) or randomly, thereby giving rise to tainted test sets (red crosses). The numbers in bold font in lines 3 and 6 give the true performance of the method in [8] both with or without fine-tuning, much below 0.97/0.94 PLCC and 0.97/0.94 SROCC, respectively, as claimed. In line 7 we report the results of an implementation of an end-to-end regression network that combines the feature selection and the quality score prediction.