No-Reference Image Quality Assessment on LIVE
0.987SROCCOurs-S+
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Ours-S+Backbone=Swin-Tiny, Joint training (FR & NR tasks)=true, Architecture Type=Transformer-based2023.10 | 0.987 | 0.987 | |
| Ours-SBackbone=Swin-Tiny, Joint training (FR & NR tasks)=false, Architecture Type=Transformer-based2023.10 | 0.986 | 0.986 | |
| SHAMISAType=SSL+LR2026.03 | 0.986 | 0.987 | |
| MANIQA2022.04 | 0.982 | 0.983 | |
| MANIQAArchitecture Type=Transformer-based2023.10 | 0.982 | 0.983 | |
| MAMIQA2026.02 | 0.981 | 0.981 | |
| Ours-RBackbone=ResNet50, Joint training (FR & NR tasks)=false2023.10 | 0.974 | 0.976 | |
| Su et al.Type=Supervised2026.03 | 0.973 | 0.974 | |
| Re-IQAType=SSL+LR2026.03 | 0.97 | 0.971 | |
| TReS2022.04 | 0.969 | 0.968 | |
| TRESArchitecture Type=CNN/Hand-crafted2023.10 | 0.969 | 0.968 | |
| DBCNN2026.02 | 0.969 | 0.971 | |
| TreS2026.02 | 0.969 | 0.968 | |
| TReSType=Supervised2026.03 | 0.969 | 0.968 | |
| DBCNN2022.04 | 0.968 | 0.971 | |
| DBCNNArchitecture Type=CNN/Hand-crafted2023.10 | 0.968 | 0.971 | |
| DB-CNNType=Supervised2026.03 | 0.968 | 0.971 | |
| ARNIQAType=SSL+LR2026.03 | 0.966 | 0.97 | |
| MS-SCANet2026.02 | 0.964 | 0.968 | |
| HyperIQA2022.04 | 0.962 | 0.966 | |
| HyperIQAArchitecture Type=CNN/Hand-crafted2023.10 | 0.962 | 0.966 | |
| HyperIQA2026.02 | 0.962 | 0.966 | |
| HyperIQAType=Supervised2026.03 | 0.962 | 0.966 | |
| WaDIQaM2022.04 | 0.96 | 0.955 | |
| MetaIQA2022.04 | 0.96 | 0.959 | |
| WaDIQaMArchitecture Type=CNN/Hand-crafted2023.10 | 0.96 | 0.955 | |
| MetaIQAArchitecture Type=CNN/Hand-crafted2023.10 | 0.96 | 0.959 | |
| CONTRIQUEType=SSL+LR2026.03 | 0.96 | 0.961 | |
| P2P-BM2022.04 | 0.959 | 0.958 | |
| P2P-BMArchitecture Type=CNN/Hand-crafted2023.10 | 0.959 | 0.958 | |
| BIECON2022.04 | 0.958 | 0.961 | |
| BIECONArchitecture Type=CNN/Hand-crafted2023.10 | 0.958 | 0.961 | |
| MEON2022.04 | 0.951 | 0.955 | |
| MEONArchitecture Type=CNN/Hand-crafted2023.10 | 0.951 | 0.955 | |
| MEON2026.02 | 0.951 | 0.955 | |
| TIQA2022.04 | 0.949 | 0.965 | |
| TIQAArchitecture Type=Transformer-based2023.10 | 0.949 | 0.965 | |
| TRIQ2026.02 | 0.949 | 0.965 | |
| CORNIAType=Codebook2026.03 | 0.947 | 0.95 | |
| HOSAType=Codebook2026.03 | 0.946 | 0.95 | |
| SHAMISATraining Dataset=CSIQ2026.03 | 0.939 | — | |
| BRISQUEType=Handcrafted2026.03 | 0.939 | 0.935 | |
| Su et al.Training=CSIQ2023.10 | 0.93 | — | |
| Su et al.Training Dataset=CSIQ2026.03 | 0.93 | — | |
| BRISQUE2022.04 | 0.929 | 0.944 | |
| BRISQUEArchitecture Type=CNN/Hand-crafted2023.10 | 0.929 | 0.944 | |
| BRISQUE2026.02 | 0.929 | 0.94 | |
| HyperIQATraining=CSIQ2023.10 | 0.926 | — | |
| HyperIQATraining Dataset=CSIQ2026.03 | 0.926 | — | |
| ARNIQATraining=CSIQ2023.10 | 0.921 | — | |
| ARNIQATraining Dataset=CSIQ2026.03 | 0.921 | — | |
| Re-IQATraining=CSIQ2023.10 | 0.919 | — | |
| Re-IQATraining Dataset=CSIQ2026.03 | 0.919 | — | |
| CONTRIQUETraining=CSIQ2023.10 | 0.912 | — | |
| CONTRIQUETraining Dataset=CSIQ2026.03 | 0.912 | — | |
| HyperIQATraining=KADID2023.10 | 0.908 | — | |
| SHAMISATraining Dataset=TID20132026.03 | 0.908 | — | |
| HyperIQATraining Dataset=KADID-10K2026.03 | 0.908 | — | |
| NIQEType=Handcrafted2026.03 | 0.907 | 0.901 | |
| CONTRIQUETraining=TID20132023.10 | 0.904 | — | |
| CONTRIQUETraining Dataset=TID20132026.03 | 0.904 | — | |
| ILNIQE2022.04 | 0.902 | 0.906 | |
| ILNIQEArchitecture Type=CNN/Hand-crafted2023.10 | 0.902 | 0.906 | |
| SHAMISATraining Dataset=KADID-10K2026.03 | 0.901 | — | |
| Re-IQATraining=TID20132023.10 | 0.9 | — | |
| CONTRIQUETraining=KADID2023.10 | 0.9 | — | |
| Re-IQATraining Dataset=TID20132026.03 | 0.9 | — | |
| CONTRIQUETraining Dataset=KADID-10K2026.03 | 0.9 | — | |
| ARNIQATraining=KADID2023.10 | 0.898 | — | |
| ARNIQATraining Dataset=KADID-10K2026.03 | 0.898 | — | |
| Su et al.Training=KADID2023.10 | 0.896 | — | |
| Su et al.Training Dataset=KADID-10K2026.03 | 0.896 | — | |
| DIIVINE2022.04 | 0.892 | 0.908 | |
| Su et al.Training=TID20132023.10 | 0.892 | — | |
| Re-IQATraining=KADID2023.10 | 0.892 | — | |
| DIIVINEArchitecture Type=CNN/Hand-crafted2023.10 | 0.892 | 0.908 | |
| DIIVINE2026.02 | 0.892 | 0.908 | |
| Su et al.Training Dataset=TID20132026.03 | 0.892 | — | |
| Re-IQATraining Dataset=KADID-10K2026.03 | 0.892 | — | |
| HyperIQATraining=TID20132023.10 | 0.876 | — | |
| HyperIQATraining Dataset=TID20132026.03 | 0.876 | — | |
| ARNIQATraining=TID20132023.10 | 0.869 | — | |
| ARNIQATraining Dataset=TID20132026.03 | 0.869 | — |