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Full-Reference Image Quality Assessment on KADID-10K (test)

94.3AccuracyTOPIQ
64.24472.04779.8587.653Mar 14, 2025

Evaluation results

MethodLinks
TOPIQScenario=Standard, Training Dataset=KADID, Fine-tuned=false2025.0394.3
A-FINEScenario=Generalized, Training Dataset=Combined, Fine-tuned=false2025.0388.3
TOPIQScenario=Standard, Training Dataset=Combined, Fine-tuned=true2025.0385
VSIScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0384.8
FSIMScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0383.4
DISTSScenario=Standard, Training Dataset=Combined, Fine-tuned=true2025.0381.9
MS-SSIMScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0381.8
DISTSScenario=Standard, Training Dataset=KADID, Fine-tuned=false2025.0381.4
CKDNScenario=Generalized, Training Dataset=Combined, Fine-tuned=true2025.0380.1
AHIQScenario=Standard, Training Dataset=Combined, Fine-tuned=true2025.0379.7
LPIPSScenario=Standard, Training Dataset=Combined, Fine-tuned=true2025.0378.2
LPIPSScenario=Standard, Training Dataset=BAPPS, Fine-tuned=false2025.0377
AHIQScenario=Standard, Training Dataset=PIPAL, Fine-tuned=false2025.0376.4
VIFScenario=Generalized, Training Dataset=N.A., Fine-tuned=false2025.0375.2
PSNRScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0374.8
SSIMScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0374
CKDNScenario=Generalized, Training Dataset=PIPAL, Fine-tuned=false2025.0370.9
SFSNScenario=Generalized, Training Dataset=N.A., Fine-tuned=false2025.0370.5
PCQIScenario=Generalized, Training Dataset=N.A., Fine-tuned=false2025.0365.4