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Full-Reference Image Quality Assessment on PIPAL (test)

81AccuracyA-FINE
55.72862.28968.8575.411Mar 14, 2025

Evaluation results

MethodLinks
A-FINEScenario=Generalized, Training Dataset=Combined, Fine-tuned=false2025.0381——
TOPIQScenario=Standard, Training Dataset=KADID, Fine-tuned=false2025.0380.5——
CKDNScenario=Generalized, Training Dataset=PIPAL, Fine-tuned=false2025.0379.8——
AHIQScenario=Standard, Training Dataset=PIPAL, Fine-tuned=false2025.0379.3——
TOPIQScenario=Standard, Training Dataset=Combined, Fine-tuned=true2025.0379——
FSIMScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0376.2——
VSIScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0376.2——
DISTSScenario=Standard, Training Dataset=KADID, Fine-tuned=false2025.0375.3——
AHIQScenario=Standard, Training Dataset=Combined, Fine-tuned=true2025.0374.9——
LPIPSScenario=Standard, Training Dataset=BAPPS, Fine-tuned=false2025.0374.3——
MS-SSIMScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0372.5——
VIFScenario=Generalized, Training Dataset=N.A., Fine-tuned=false2025.0372.4——
SSIMScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0372.1——
DISTSScenario=Standard, Training Dataset=Combined, Fine-tuned=true2025.0372.1——
LPIPSScenario=Standard, Training Dataset=Combined, Fine-tuned=true2025.0371.7——
PSNRScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0370.7——
SFSNScenario=Generalized, Training Dataset=N.A., Fine-tuned=false2025.0369.8——
CKDNScenario=Generalized, Training Dataset=Combined, Fine-tuned=true2025.0368.1——
PCQIScenario=Generalized, Training Dataset=N.A., Fine-tuned=false2025.0356.7——
AHIQParams. (M)=132.62, MAC (G)=168.982023.10—0.8230.813
DeepSSIM2026.04—0.7340.699
DMM2026.04—0.7520.729
FSIM2026.04—0.6380.605
GMSD2026.04—0.6560.609
MS-SSIM2026.04—0.590.558
MSDS2026.04—0.7360.701
Ours-SBackbone=Swin-Small, Params. (M)=105.36, MAC (G)=98.622023.10—0.8260.815
Ours-TBackbone=Swin-Tiny, Params. (M)=76.64, MAC (G)=80.562023.10—0.8180.807
SSIM2026.04—0.5290.518