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Image Quality Assessment on CSIQ (full)

0.976SROCCJND-SalCAR
0.800240.845870.89150.93713Apr 22, 2022Oct 1, 2022Mar 13, 2023Aug 22, 2023Feb 1, 2024Jul 12, 2024Dec 22, 2024

Evaluation results

MethodLinks
JND-SalCAR2022.040.976—0.977
AHIQ2022.040.975—0.978
PieAPP2022.040.973—0.975
DeepQA2022.040.961—0.965
DOG-SSIMc2022.040.954—0.943
Our-VGGBackbone=VGG [29], Mode=Training-free2024.120.952—0.949
AHIQTraining set=KADID2022.040.951—0.955
GMSD2022.040.95—0.945
DeepWSD2024.120.95—0.941
MAD2022.040.947—0.95
SCQI2022.040.943—0.927
IQTTraining set=KADID2022.040.943——
VSI2022.040.942—0.928
GMSD2024.120.939—0.938
Our-EffNetBackbone=EfficientNet [31], Mode=Training-free2024.120.938—0.933
NLPD2022.040.932—0.923
FSIMc2022.040.931—0.919
DISTSTraining set=KADID2022.040.929—0.928
VSI2024.120.929—0.912
NLPD2024.120.926—0.913
Our-ResNetBackbone=ResNet-50 [8], Mode=Training-free2024.120.923—0.916
MAD2024.120.922—0.922
DISTS2024.120.92—0.919
FSIM2024.120.915—0.902
VIF2022.040.911—0.913
WaDIQaMTraining set=KADID2022.040.909—0.901
MS-SSIM2022.040.906—0.889
VIF2024.120.899—0.899
LPIPS2024.120.895—0.891
TOPIQ-FR2024.120.894—0.894
PieAPPTraining set=KADID2022.040.892—0.877
PieAPP2024.120.883—0.864
MS-SSIM2024.120.879—0.875
LPIPSTraining set=KADID2022.040.876—0.896
SSIM2022.040.865—0.852
SSIM2024.120.833—0.81
PSNR2022.040.81—0.819
PSNR2024.120.807—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—