Image Quality Assessment on TID 2013 (full)
0.962SROCCAHIQ
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| AHIQ2022.04 | 0.962 | — | 0.968 | |
| JND-SalCAR2022.04 | 0.949 | — | 0.956 | |
| PieAPP2022.04 | 0.945 | — | 0.946 | |
| WaDIQaM-FR2022.04 | 0.94 | — | 0.946 | |
| DeepQA2022.04 | 0.939 | — | 0.947 | |
| DOG-SSIMc2022.04 | 0.926 | — | 0.934 | |
| DualCNN2022.04 | 0.926 | — | 0.924 | |
| SCQI2022.04 | 0.905 | — | 0.907 | |
| AHIQTraining set=KADID2022.04 | 0.901 | — | 0.899 | |
| IQTTraining set=KADID2022.04 | 0.899 | — | — | |
| VSI2022.04 | 0.897 | — | 0.9 | |
| VSI2024.12 | 0.895 | — | 0.898 | |
| Our-VGGBackbone=VGG [29], Mode=Training-free2024.12 | 0.884 | — | 0.909 | |
| Our-EffNetBackbone=EfficientNet [31], Mode=Training-free2024.12 | 0.879 | — | 0.899 | |
| PieAPPTraining set=KADID2022.04 | 0.876 | — | 0.859 | |
| DeepWSD2024.12 | 0.874 | — | 0.894 | |
| Our-ResNetBackbone=ResNet-50 [8], Mode=Training-free2024.12 | 0.852 | — | 0.862 | |
| FSIMc2022.04 | 0.851 | — | 0.877 | |
| FSIM2024.12 | 0.851 | — | 0.876 | |
| PieAPP2024.12 | 0.844 | — | 0.809 | |
| WaDIQaMTraining set=KADID2022.04 | 0.831 | — | 0.834 | |
| DISTSTraining set=KADID2022.04 | 0.83 | — | 0.855 | |
| DISTS2024.12 | 0.83 | — | 0.854 | |
| TOPIQ-FR2024.12 | 0.82 | — | 0.854 | |
| LIQEtraining=jointly trained on six datasets2023.03 | 0.811 | — | — | |
| GMSD2022.04 | 0.804 | — | 0.855 | |
| GMSD2024.12 | 0.804 | — | 0.858 | |
| NLPD2022.04 | 0.8 | — | 0.839 | |
| NLPD2024.12 | 0.799 | — | 0.832 | |
| MS-SSIM2022.04 | 0.786 | — | 0.83 | |
| MS-SSIM2024.12 | 0.786 | — | 0.831 | |
| MAD2022.04 | 0.781 | — | 0.827 | |
| UNIQUEtraining=jointly trained on six datasets2023.03 | 0.768 | — | — | |
| MAD2024.12 | 0.743 | — | 0.737 | |
| SSIM2022.04 | 0.727 | — | 0.777 | |
| LPIPS2024.12 | 0.713 | — | 0.713 | |
| PSNR2022.04 | 0.687 | — | 0.677 | |
| PSNR2024.12 | 0.687 | — | 0.664 | |
| DBCNNTraining Dataset=KADID-10K2023.03 | 0.686 | — | — | |
| VIF2022.04 | 0.677 | — | 0.771 | |
| VIF2024.12 | 0.677 | — | 0.771 | |
| LPIPSTraining set=KADID2022.04 | 0.67 | — | 0.749 | |
| SSIM2024.12 | 0.627 | — | 0.665 | |
| MUSIQ2023.03 | 0.584 | — | — | |
| DBCNNTraining Dataset=KonIQ-10K2023.03 | 0.471 | — | — | |
| PaQ2PiQ2023.03 | 0.423 | — | — | |
| NIQE2023.03 | 0.314 | — | — | |
| ADD-GSIM2016.08 | — | 3 | — | |
| FSIMc2016.08 | — | 1 | — | |
| GMSD2016.08 | — | -5 | — | |
| MAD2016.08 | — | -7 | — | |
| MDSI2016.08 | — | 9 | — | |
| SCQI2016.08 | — | 7 | — | |
| SFF2016.08 | — | 0 | — | |
| SR SIM2016.08 | — | -3 | — | |
| VIF2016.08 | — | -9 | — | |
| VSI2016.08 | — | 5 | — |