No-Reference Image Quality Assessment on LIVE-C
0.903PLCCOurs-S
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Ours-SBackbone=Swin-Tiny, Joint training (FR & NR tasks)=false, Architecture Type=Transformer-based2023.10 | 0.903 | 0.869 | |
| MS-SCANet2026.02 | 0.903 | 0.895 | |
| MAMIQA2026.02 | 0.895 | 0.874 | |
| Ours-RBackbone=ResNet50, Joint training (FR & NR tasks)=false2023.10 | 0.892 | 0.841 | |
| HyperIQAArchitecture Type=CNN/Hand-crafted2023.10 | 0.882 | 0.859 | |
| TRESArchitecture Type=CNN/Hand-crafted2023.10 | 0.877 | 0.846 | |
| TreS2026.02 | 0.877 | 0.846 | |
| DBCNNArchitecture Type=CNN/Hand-crafted2023.10 | 0.869 | 0.869 | |
| DBCNN2026.02 | 0.869 | 0.869 | |
| TIQAArchitecture Type=Transformer-based2023.10 | 0.861 | 0.845 | |
| TRIQ2026.02 | 0.861 | 0.845 | |
| MANIQATraining Dataset=Koniq10k and HiRQA2025.08 | 0.849 | 0.832 | |
| P2P-BMArchitecture Type=CNN/Hand-crafted2023.10 | 0.842 | 0.844 | |
| HyperIQA2026.02 | 0.842 | 0.844 | |
| CLIP-IQA+Training Dataset=Koniq10k and HiRQA2025.08 | 0.832 | 0.805 | |
| MetaIQAArchitecture Type=CNN/Hand-crafted2023.10 | 0.802 | 0.835 | |
| MUSIQTraining Dataset=Koniq10k and HiRQA2025.08 | 0.789 | 0.83 | |
| DBCNNTraining Dataset=Koniq10k and HiRQA2025.08 | 0.773 | 0.755 | |
| ARNIQATraining Dataset=Koniq10k and HiRQA2025.08 | 0.759 | 0.724 | |
| HiRQATraining Dataset=Koniq10k and HiRQA2025.08 | 0.744 | 0.692 | |
| MEONArchitecture Type=CNN/Hand-crafted2023.10 | 0.71 | 0.697 | |
| MEON2026.02 | 0.71 | 0.697 | |
| WaDIQaMArchitecture Type=CNN/Hand-crafted2023.10 | 0.671 | 0.682 | |
| BRISQUEArchitecture Type=CNN/Hand-crafted2023.10 | 0.629 | 0.629 | |
| BRISQUE2026.02 | 0.629 | 0.629 | |
| BIECONArchitecture Type=CNN/Hand-crafted2023.10 | 0.613 | 0.613 | |
| DIIVINEArchitecture Type=CNN/Hand-crafted2023.10 | 0.591 | 0.588 | |
| DIIVINE2026.02 | 0.591 | 0.588 | |
| ILNIQEArchitecture Type=CNN/Hand-crafted2023.10 | 0.508 | 0.508 |