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ResearchFormerly WizWand

Full-Reference Image Quality Assessment on CSIQ-IQA (test)

0.979SROCCYOTO
0.813640.856570.89950.94243Oct 25, 2021Jul 25, 2022Apr 24, 2023Jan 22, 2024Oct 21, 2024Jul 21, 2025Apr 21, 2026
Updated 6mo ago

Evaluation results

MethodLinks
YOTOTraining Mode=FR task only, Transformer-based=true2023.100.9790.979
YOTOTraining Mode=Jointly trained (FR & NR), Transformer-based=true2023.100.9770.978
AHIQTransformer-based=true2023.100.9750.978
PieAPP2023.100.9730.975
TOPIQTrain dataset=KADID-10k, Backbone=ResNet-502023.080.9690.963
DRF-IQA2021.100.9640.96
MSDS2026.040.9640.967
DeepQA2023.100.9610.965
CONTRIQUE-FR2021.100.9560.964
CONTRIQUE-FR2026.040.9560.964
DOG2023.100.9540.943
AHIQTrain dataset=KADID-10k2023.080.9510.955
GMSD2026.040.950.947
DeepSSIM2026.040.950.948
DMM2026.040.9460.917
VSI2021.100.9440.929
DISTS2021.100.9420.942
DISTS2026.040.9420.942
FSIM2021.100.9340.919
DISTSTrain dataset=KADID-10k2023.080.9290.928
FSIM2026.040.9170.903
WaDIQaM-FRTrain dataset=KADID-10k2023.080.9090.901
TOPIQTrain dataset=PIPAL, Backbone=ResNet-502023.080.9080.908
PieAPP2021.100.90.881
PieAPP2026.040.90.881
PieAPPTrain dataset=KADID-10k2023.080.8920.877
LPIPS2021.100.8840.906
LPIPS2026.040.8840.906
LPIPS-VGGTrain dataset=KADID-10k2023.080.8760.896
SSIM2026.040.870.856
AHIQTrain dataset=PIPAL2023.080.8650.861
DISTSTrain dataset=PIPAL2023.080.8590.862
LPIPS-VGGTrain dataset=PIPAL2023.080.8580.857
Re-IQA-FRTraining Dataset=LIVE-IQA2023.040.856—
CONTRIQUE-FRTraining Dataset=LIVE-IQA2023.040.855—
SSIM2021.100.8540.835
MS-SSIM2026.040.8340.818
WaDIQaM-FRTrain dataset=PIPAL2023.080.8220.834
PSNR2021.100.820.824