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ResearchFormerly WizWand

Full-Reference Image Quality Assessment on CSIQ-IQA

0.979SRCCBiRQA
0.803240.848870.89450.94013Apr 2, 2023Sep 28, 2023Mar 26, 2024Sep 21, 2024Mar 20, 2025Sep 15, 2025Mar 14, 2026
Updated 7mo ago

Evaluation results

MethodLinks
BiRQA2026.020.9790.981
TOPIQBackbone=ResNet-50, Architecture=CFANet2023.080.9780.98
TOPIQYear=20242026.020.9780.98
JND-SalCAR2023.080.9760.977
JND-SalCARYear=20202026.020.9760.977
AHIQ2023.080.9750.978
AHIQYear=20222026.020.9750.978
AAT-BiRQATraining=Anchored Adversarial Training2026.020.9740.98
PieAPP2023.080.9730.975
PieAPPYear=20182026.020.9730.975
ARNIQA-FRType=SSL + LR2026.030.9710.975
SHAMISA-FRType=SSL + LR, Evaluation Protocol=fixed-encoder2026.030.9680.982
LPIPSBackbone=VGG2023.080.9670.97
LPIPSBackbone=VGG, Year=20182026.020.9670.97
DISTS2023.080.9650.973
DISTSYear=20202026.020.9650.973
DRF-IQA2023.040.9640.96
DRF-IQAType=Deep learning2026.030.9640.96
Re-IQA-FRvariant=quality-aware2023.040.9610.965
Re-IQA-FR2023.040.9610.962
DeepQA2023.080.9610.965
DeepQAYear=20172026.020.9610.965
Re-IQA-FRType=SSL + LR2026.030.9610.962
CONTRIQUE-FR2023.040.9560.964
CONTRIQUE-FRType=SSL + LR2026.030.9560.964
GMSD2023.080.950.945
MAD2023.080.9470.95
MADYear=20102026.020.9470.95
VSIType=Traditional2026.030.9440.929
VSI2023.080.9420.928
VSIYear=20142026.020.9420.928
DISTSType=Deep learning2026.030.9420.942
FSIM2023.040.9340.919
FSIMType=Traditional2026.030.9340.919
NLPD2023.080.9320.923
FSIMc2023.080.9310.919
Re-IQA-FRvariant=content-aware2023.040.9270.928
VIF2023.080.9110.913
VIFYear=20062026.020.9110.913
MS-SSIM2023.080.9060.889
MS-SSIMYear=20032026.020.9060.889
PieAPPType=Deep learning2026.030.90.881
LPIPS2023.040.8840.906
LPIPSType=Deep learning2026.030.8840.906
SSIM2023.080.8650.852
SSIMYear=20042026.020.8650.852
SSIM2023.040.8540.835
SSIMType=Traditional2026.030.8540.835
PSNR2023.040.820.824
PSNRType=Traditional2026.030.820.824
PSNR2023.080.810.819
PSNR2026.020.810.819