Image Quality Assessment on CSIQ (full) benchmark leaderboard · SOTA2 Research

Image Quality Assessment on CSIQ (full)

0.976SROCCJND-SalCAR

Evaluation Results

Method	Links
JND-SalCAR2022.04		0.976	—	0.977
AHIQ2022.04		0.975	—	0.978
PieAPP2022.04		0.973	—	0.975
DeepQA2022.04		0.961	—	0.965
DOG-SSIMc2022.04		0.954	—	0.943
Our-VGG2024.12		0.952	—	0.949
AHIQ2022.04		0.951	—	0.955
GMSD2022.04		0.95	—	0.945
DeepWSD2024.12		0.95	—	0.941
MAD2022.04		0.947	—	0.95
SCQI2022.04		0.943	—	0.927
IQT2022.04		0.943	—	—
VSI2022.04		0.942	—	0.928
GMSD2024.12		0.939	—	0.938
Our-EffNet2024.12		0.938	—	0.933
NLPD2022.04		0.932	—	0.923
FSIMc2022.04		0.931	—	0.919
DISTS2022.04		0.929	—	0.928
VSI2024.12		0.929	—	0.912
NLPD2024.12		0.926	—	0.913
Our-ResNet2024.12		0.923	—	0.916
MAD2024.12		0.922	—	0.922
DISTS2024.12		0.92	—	0.919
FSIM2024.12		0.915	—	0.902
VIF2022.04		0.911	—	0.913
WaDIQaM2022.04		0.909	—	0.901
MS-SSIM2022.04		0.906	—	0.889
VIF2024.12		0.899	—	0.899
LPIPS2024.12		0.895	—	0.891
TOPIQ-FR2024.12		0.894	—	0.894
PieAPP2022.04		0.892	—	0.877
PieAPP2024.12		0.883	—	0.864
MS-SSIM2024.12		0.879	—	0.875
LPIPS2022.04		0.876	—	0.896
SSIM2022.04		0.865	—	0.852
SSIM2024.12		0.833	—	0.81
PSNR2022.04		0.81	—	0.819
PSNR2024.12		0.807	—	0.792
ADD-GSIM2016.08		—	1	—
FSIMc2016.08		—	-9	—
GMSD2016.08		—	6	—
MAD2016.08		—	3	—
MDSI2016.08		—	6	—
SCQI2016.08		—	-3	—
SFF2016.08		—	9	—
SR SIM2016.08		—	-7	—
VIF2016.08		—	-3	—
VSI2016.08		—	-3	—