Image Quality Assessment on LDCTIQAC 2023 (test)
0.9866Pearson Correlation (r)CAP-IQA
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CAP-IQAModel=Context-Aware Prompt-Based2026.01 | 0.9866 | 0.9775 | 0.8949 | 2.859 | |
| MANIQA Prompt-BasedTeam=Med-IQA2026.01 | 0.9764 | 0.9762 | — | — | |
| Multi-Scale DistributionTeam=MD-IQA2026.01 | 0.9513 | 0.9514 | 0.8404 | 2.7431 | |
| Swin & BiTResNeXt50Team=agaldran2026.01 | 0.9491 | 0.9495 | 0.844 | 2.7427 | |
| Hybrid CNN-TransformerTeam=TFKT V22026.01 | 0.9462 | 0.944 | 0.8073 | 2.6975 | |
| MLP-KAN TransformerTeam=SwinKAT2026.01 | 0.9454 | 0.9389 | 0.7967 | 2.6811 | |
| MANIQATeam=RPI_AXIS2026.01 | 0.9434 | 0.9414 | 0.7995 | 2.6843 | |
| EfficientNet-V2LTeam=CHILL@UK2026.01 | 0.9402 | 0.9387 | 0.793 | 2.6719 | |
| ViT&GLCMTeam=FeatureNet2026.01 | 0.9362 | 0.9338 | 0.7851 | 2.655 | |
| EDCNNTeam=Team Epoch2026.01 | 0.9278 | 0.9232 | 0.7691 | 2.6202 | |
| CNN-ViTTeam=gabybaldeon2026.01 | 0.9143 | 0.9096 | 0.7432 | 2.5671 |