No-Reference Image Quality Assessment on LIVEFB
0.701PLCCCSFIQA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| CSFIQA2024.11 | 0.701 | 0.629 | |
| DR.Expertspre-training=false2026.02 | 0.69 | 0.585 | |
| LODApre-training=false2026.02 | 0.679 | 0.578 | |
| LoDa2024.11 | 0.679 | 0.578 | |
| QPTpre-training=true2026.02 | 0.675 | 0.578 | |
| LQMambapre-training=false2026.02 | 0.672 | 0.574 | |
| QFM-IQMpre-training=false2026.02 | 0.667 | 0.567 | |
| QFM-IQM2024.11 | 0.667 | 0.567 | |
| DEIQTpre-training=false2026.02 | 0.663 | 0.571 | |
| DEIQT2024.11 | 0.663 | 0.571 | |
| MUSIQ2024.11 | 0.661 | 0.566 | |
| Ours-SBackbone=Swin-Tiny, Joint training (FR & NR tasks)=false, Architecture Type=Transformer-based2023.10 | 0.652 | 0.57 | |
| DB-CNNpre-training=false2026.02 | 0.652 | 0.554 | |
| CONRTIQUEpre-training=true2026.02 | 0.641 | 0.58 | |
| Ours-RBackbone=ResNet50, Joint training (FR & NR tasks)=false2023.10 | 0.637 | 0.563 | |
| TRESArchitecture Type=CNN/Hand-crafted2023.10 | 0.625 | 0.554 | |
| TReSpre-training=false2026.02 | 0.625 | 0.554 | |
| TReS2024.11 | 0.625 | 0.554 | |
| HyperIQApre-training=false2026.02 | 0.623 | 0.535 | |
| HyperIQAArchitecture Type=CNN/Hand-crafted2023.10 | 0.602 | 0.544 | |
| HyperIQA2024.11 | 0.602 | 0.544 | |
| P2P-BMArchitecture Type=CNN/Hand-crafted2023.10 | 0.598 | 0.526 | |
| P2P-BM2024.11 | 0.598 | 0.526 | |
| CLIP-IQA+2024.11 | 0.593 | 0.575 | |
| TIQAArchitecture Type=Transformer-based2023.10 | 0.581 | 0.541 | |
| MUSIQTraining Dataset=Koniq10k and HiRQA2025.08 | 0.565 | 0.467 | |
| DBCNNArchitecture Type=CNN/Hand-crafted2023.10 | 0.551 | 0.545 | |
| DBCNN2024.11 | 0.551 | 0.545 | |
| MANIQATraining Dataset=Koniq10k and HiRQA2025.08 | 0.512 | 0.401 | |
| MetaIQAArchitecture Type=CNN/Hand-crafted2023.10 | 0.507 | 0.54 | |
| MetaIQA2024.11 | 0.507 | 0.54 | |
| HiRQATraining Dataset=Koniq10k and HiRQA2025.08 | 0.49 | 0.421 | |
| ARNIQATraining Dataset=Koniq10k and HiRQA2025.08 | 0.487 | 0.41 | |
| DBCNNTraining Dataset=Koniq10k and HiRQA2025.08 | 0.485 | 0.385 | |
| WaDIQaMArchitecture Type=CNN/Hand-crafted2023.10 | 0.467 | 0.455 | |
| WaDIQaM-NRpre-training=false2026.02 | 0.43 | 0.435 | |
| BIECONArchitecture Type=CNN/Hand-crafted2023.10 | 0.428 | 0.407 | |
| BIECON2024.11 | 0.428 | 0.407 | |
| CLIP-IQA+Training Dataset=Koniq10k and HiRQA2025.08 | 0.427 | 0.316 | |
| MEONArchitecture Type=CNN/Hand-crafted2023.10 | 0.394 | 0.365 | |
| MEON2024.11 | 0.394 | 0.365 | |
| BRISQUEpre-training=false2026.02 | 0.356 | 0.32 | |
| BRISQUEArchitecture Type=CNN/Hand-crafted2023.10 | 0.341 | 0.303 | |
| BRISQUE2024.11 | 0.341 | 0.303 | |
| ILNIQEArchitecture Type=CNN/Hand-crafted2023.10 | 0.332 | 0.294 | |
| ILNIQE2024.11 | 0.332 | 0.294 | |
| ILNIQEpre-training=false2026.02 | 0.255 | 0.219 | |
| DIIVINEArchitecture Type=CNN/Hand-crafted2023.10 | 0.187 | 0.092 |