Full-Reference Image Quality Assessment on CSIQ-IQA (test)
0.979SROCCYOTO
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| YOTOTraining Mode=FR task only, Transformer-based=true2023.10 | 0.979 | 0.979 | |
| YOTOTraining Mode=Jointly trained (FR & NR), Transformer-based=true2023.10 | 0.977 | 0.978 | |
| AHIQTransformer-based=true2023.10 | 0.975 | 0.978 | |
| PieAPP2023.10 | 0.973 | 0.975 | |
| TOPIQTrain dataset=KADID-10k, Backbone=ResNet-502023.08 | 0.969 | 0.963 | |
| DRF-IQA2021.10 | 0.964 | 0.96 | |
| MSDS2026.04 | 0.964 | 0.967 | |
| DeepQA2023.10 | 0.961 | 0.965 | |
| CONTRIQUE-FR2021.10 | 0.956 | 0.964 | |
| CONTRIQUE-FR2026.04 | 0.956 | 0.964 | |
| DOG2023.10 | 0.954 | 0.943 | |
| AHIQTrain dataset=KADID-10k2023.08 | 0.951 | 0.955 | |
| GMSD2026.04 | 0.95 | 0.947 | |
| DeepSSIM2026.04 | 0.95 | 0.948 | |
| DMM2026.04 | 0.946 | 0.917 | |
| VSI2021.10 | 0.944 | 0.929 | |
| DISTS2021.10 | 0.942 | 0.942 | |
| DISTS2026.04 | 0.942 | 0.942 | |
| FSIM2021.10 | 0.934 | 0.919 | |
| DISTSTrain dataset=KADID-10k2023.08 | 0.929 | 0.928 | |
| FSIM2026.04 | 0.917 | 0.903 | |
| WaDIQaM-FRTrain dataset=KADID-10k2023.08 | 0.909 | 0.901 | |
| TOPIQTrain dataset=PIPAL, Backbone=ResNet-502023.08 | 0.908 | 0.908 | |
| PieAPP2021.10 | 0.9 | 0.881 | |
| PieAPP2026.04 | 0.9 | 0.881 | |
| PieAPPTrain dataset=KADID-10k2023.08 | 0.892 | 0.877 | |
| LPIPS2021.10 | 0.884 | 0.906 | |
| LPIPS2026.04 | 0.884 | 0.906 | |
| LPIPS-VGGTrain dataset=KADID-10k2023.08 | 0.876 | 0.896 | |
| SSIM2026.04 | 0.87 | 0.856 | |
| AHIQTrain dataset=PIPAL2023.08 | 0.865 | 0.861 | |
| DISTSTrain dataset=PIPAL2023.08 | 0.859 | 0.862 | |
| LPIPS-VGGTrain dataset=PIPAL2023.08 | 0.858 | 0.857 | |
| Re-IQA-FRTraining Dataset=LIVE-IQA2023.04 | 0.856 | — | |
| CONTRIQUE-FRTraining Dataset=LIVE-IQA2023.04 | 0.855 | — | |
| SSIM2021.10 | 0.854 | 0.835 | |
| MS-SSIM2026.04 | 0.834 | 0.818 | |
| WaDIQaM-FRTrain dataset=PIPAL2023.08 | 0.822 | 0.834 | |
| PSNR2021.10 | 0.82 | 0.824 |