No-Reference Image Quality Assessment on CSIQ
0.981SROCCSHAMISA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SHAMISAType=SSL+LR2026.03 | 0.981 | 0.987 | |
| Ours-S+Backbone=Swin-Tiny, Joint training (FR & NR tasks)=true, Architecture Type=Transformer-based2023.10 | 0.976 | 0.977 | |
| DEFNet2025.07 | 0.967 | 0.964 | |
| Ours-SBackbone=Swin-Tiny, Joint training (FR & NR tasks)=false, Architecture Type=Transformer-based2023.10 | 0.964 | 0.97 | |
| QAL-IQA2025.07 | 0.963 | 0.97 | |
| MAMIQA2026.02 | 0.962 | 0.972 | |
| ARNIQAType=SSL+LR2026.03 | 0.962 | 0.973 | |
| MANIQA2022.04 | 0.961 | 0.968 | |
| MANIQAArchitecture Type=Transformer-based2023.10 | 0.961 | 0.968 | |
| KGANet2025.07 | 0.954 | 0.963 | |
| Ours-RBackbone=ResNet50, Joint training (FR & NR tasks)=false2023.10 | 0.952 | 0.962 | |
| CDINet2025.07 | 0.952 | 0.96 | |
| CausalQualityBackbone=VGG2025.07 | 0.952 | 0.949 | |
| Re-IQA2025.07 | 0.947 | 0.96 | |
| Re-IQAType=SSL+LR2026.03 | 0.947 | 0.96 | |
| DBCNN2022.04 | 0.946 | 0.959 | |
| DBCNNArchitecture Type=CNN/Hand-crafted2023.10 | 0.946 | 0.959 | |
| DBCNN2026.02 | 0.946 | 0.959 | |
| DB-CNNType=Supervised2026.03 | 0.946 | 0.959 | |
| VCRNet2025.07 | 0.943 | 0.955 | |
| CONTRIQUE2025.07 | 0.942 | 0.955 | |
| DPNet2025.07 | 0.942 | 0.952 | |
| CONTRIQUEType=SSL+LR2026.03 | 0.942 | 0.955 | |
| DBCNN2025.07 | 0.94 | 0.954 | |
| CausalQualityBackbone=EffNet2025.07 | 0.938 | 0.933 | |
| LIQE2025.07 | 0.936 | 0.939 | |
| Su et al.Type=Supervised2026.03 | 0.935 | 0.952 | |
| HyperIQA2025.07 | 0.934 | 0.946 | |
| Ma192025.07 | 0.926 | 0.929 | |
| MS-SCANet2026.02 | 0.925 | 0.945 | |
| HyperIQA2022.04 | 0.923 | 0.942 | |
| HyperIQAArchitecture Type=CNN/Hand-crafted2023.10 | 0.923 | 0.942 | |
| HyperIQA2026.02 | 0.923 | 0.942 | |
| HyperIQAType=Supervised2026.03 | 0.923 | 0.942 | |
| TReS2022.04 | 0.922 | 0.942 | |
| TRESArchitecture Type=CNN/Hand-crafted2023.10 | 0.922 | 0.942 | |
| MEON2026.02 | 0.922 | 0.942 | |
| TreS2026.02 | 0.922 | 0.942 | |
| TReSType=Supervised2026.03 | 0.922 | 0.942 | |
| SHAMISATraining Dataset=LIVE2026.03 | 0.909 | — | |
| ARNIQATraining=LIVE2023.10 | 0.904 | — | |
| ARNIQATraining Dataset=LIVE2026.03 | 0.904 | — | |
| UNIQUE2025.07 | 0.902 | 0.921 | |
| TreS2025.07 | 0.902 | 0.923 | |
| MetaIQA2022.04 | 0.899 | 0.908 | |
| P2P-BM2022.04 | 0.899 | 0.902 | |
| MetaIQAArchitecture Type=CNN/Hand-crafted2023.10 | 0.899 | 0.908 | |
| P2P-BMArchitecture Type=CNN/Hand-crafted2023.10 | 0.899 | 0.902 | |
| TOPIQ-FR2025.07 | 0.894 | 0.894 | |
| SHAMISATraining Dataset=KADID-10K2026.03 | 0.892 | — | |
| CLIP-IQA+Model Type=Non-reasoning2026.03 | 0.89 | 0.9 | |
| CLIP-IQA+Model Category=Discriminative Deep-Learning-based, Zero-shot evaluation=true2025.09 | 0.89 | 0.9 | |
| ARNIQATraining=KADID2023.10 | 0.882 | — | |
| ARNIQATraining Dataset=KADID-10K2026.03 | 0.882 | — | |
| SHAMISATraining Dataset=TID20132026.03 | 0.87 | — | |
| ARNIQATraining=TID20132023.10 | 0.866 | — | |
| ARNIQATraining Dataset=TID20132026.03 | 0.866 | — | |
| HiRQATraining Dataset=Koniq10k and HiRQA2025.08 | 0.862 | 0.874 | |
| Re-IQATraining=KADID2023.10 | 0.855 | — | |
| Re-IQATraining Dataset=KADID-10K2026.03 | 0.855 | — | |
| MEON2022.04 | 0.852 | 0.864 | |
| WaDIQaM2022.04 | 0.852 | 0.844 | |
| MEONArchitecture Type=CNN/Hand-crafted2023.10 | 0.852 | 0.864 | |
| WaDIQaMArchitecture Type=CNN/Hand-crafted2023.10 | 0.852 | 0.844 | |
| Re-IQATraining=TID20132023.10 | 0.85 | — | |
| Re-IQATraining Dataset=TID20132026.03 | 0.85 | — | |
| DeQA-ScoreModel Type=Non-reasoning2026.03 | 0.847 | 0.868 | |
| DeQA-ScoreModel Category=VLM-based, Zero-shot evaluation=true2025.09 | 0.847 | 0.868 | |
| NIMAModel Type=Non-reasoning2026.03 | 0.844 | 0.854 | |
| NIMAModel Category=Discriminative Deep-Learning-based, Zero-shot evaluation=true2025.09 | 0.844 | 0.854 | |
| EvoQualityModel Category=VLM-based, Zero-shot evaluation=true, Evolution Round=Round 22025.09 | 0.839 | 0.865 | |
| Su et al.Training=KADID2023.10 | 0.828 | — | |
| TRIQ2026.02 | 0.828 | 0.838 | |
| Su et al.Training Dataset=KADID-10K2026.03 | 0.828 | — | |
| TIQA2022.04 | 0.825 | 0.838 | |
| TIQAArchitecture Type=Transformer-based2023.10 | 0.825 | 0.838 | |
| ILNIQE2022.04 | 0.822 | 0.865 | |
| ILNIQEArchitecture Type=CNN/Hand-crafted2023.10 | 0.822 | 0.865 | |
| BIECON2022.04 | 0.815 | 0.823 | |
| BIECONArchitecture Type=CNN/Hand-crafted2023.10 | 0.815 | 0.823 | |
| MUSIQModel Type=Non-reasoning2026.03 | 0.815 | 0.86 | |
| ME-IQABase VLM=EvoQuality2026.03 | 0.815 | 0.851 | |
| MUSIQModel Category=Discriminative Deep-Learning-based, Zero-shot evaluation=true2025.09 | 0.815 | 0.86 | |
| BRISQUE2022.04 | 0.812 | 0.748 | |
| BRISQUEArchitecture Type=CNN/Hand-crafted2023.10 | 0.812 | 0.748 | |
| BRISQUE2026.02 | 0.812 | 0.748 | |
| CONTRIQUETraining=TID20132023.10 | 0.811 | — | |
| CONTRIQUETraining Dataset=TID20132026.03 | 0.811 | — | |
| HyperIQATraining=KADID2023.10 | 0.809 | — | |
| HyperIQATraining Dataset=KADID-10K2026.03 | 0.809 | — | |
| ILNIQE2025.07 | 0.808 | 0.851 | |
| DIIVINE2022.04 | 0.804 | 0.776 | |
| DIIVINEArchitecture Type=CNN/Hand-crafted2023.10 | 0.804 | 0.776 | |
| DIIVINE2026.02 | 0.804 | 0.776 | |
| CONTRIQUETraining=LIVE2023.10 | 0.803 | — | |
| CONTRIQUETraining Dataset=LIVE2026.03 | 0.803 | — | |
| Re-IQATraining=LIVE2023.10 | 0.795 | — | |
| Re-IQATraining Dataset=LIVE2026.03 | 0.795 | — | |
| EvoQualityModel Category=VLM-based, Zero-shot evaluation=true, Evolution Round=Round 12025.09 | 0.789 | 0.827 | |
| BaselineBase VLM=EvoQuality2026.03 | 0.778 | 0.821 |