No-Reference Image Quality Assessment on KADID benchmark leaderboard · SOTA2 Research

No-Reference Image Quality Assessment on KADID

0.934SRCCCONTRIQUE

Evaluation Results

Method
CONTRIQUE2023.04	0.934	0.937
Re-IQA2023.04	0.885	0.892
Re-IQA2023.04	0.872	0.885
HyperIQA2023.04	0.852	0.845
DB-CNN2023.04	0.851	0.856
Q-Align2026.03	0.792	0.795
ME-IQA2026.03	0.785	0.77
ME-IQA2026.03	0.783	0.783
ARNIQA2023.10	0.764	—
CLIP-IQA+2026.03	0.756	0.762
ME-IQA2026.03	0.753	0.741
ME-IQA2026.03	0.746	0.74
ME-IQA2026.03	0.744	0.739
PaQ-2-PiQ2023.04	0.74	—
Baseline2026.03	0.738	0.744
Baseline2026.03	0.737	0.732
ARNIQA2023.10	0.735	—
Compare2Score2026.03	0.731	0.72
ARNIQA2023.10	0.726	—
DeQA-Score2026.03	0.716	0.711
Baseline2026.03	0.709	0.707
Baseline2026.03	0.703	0.709
ImageNet Pretrained (Supervised)2023.04	0.701	0.677
Baseline2026.03	0.701	0.715
CONTRIQUE2023.10	0.699	—
CONTRIQUE2023.10	0.696	—
NIMA2026.03	0.693	0.701
MUSIQ2026.03	0.65	0.668
CONTRIQUE2023.10	0.64	—
Re-IQA2023.10	0.636	—
Re-IQA2023.04	0.601	0.656
HyperIQA2023.10	0.581	—
Re-IQA2023.10	0.557	—
Su et al.2023.10	0.554	—
BRISQUE2023.04	0.528	0.567
Re-IQA2023.10	0.521	—
CORNIA2023.04	0.516	0.558
Su et al.2023.10	0.515	—
HyperIQA2023.10	0.509	—
Su et al.2023.10	0.506	—
HyperIQA2023.10	0.492	—
MANIQA2026.03	0.488	0.526
NIQE2026.03	0.43	0.43