Facial Image Quality Assessment on GFIQA-20K
0.9696SRCCDSL-FIQA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DSL-FIQA2026.02 | 0.9696 | 0.9699 | |
| SFIQA-Assessor-SBackbone=EdgeNeXt-S2026.02 | 0.9654 | 0.9666 | |
| TOPIQ2026.02 | 0.9641 | 0.9581 | |
| MANIQA2026.02 | 0.9639 | 0.9589 | |
| StairIQA2026.02 | 0.9624 | 0.9665 | |
| LIQE2026.02 | 0.9622 | 0.9405 | |
| IFQA2026.02 | 0.9514 | 0.9533 | |
| DSL-FIQATraining Dataset=CGFIQA-40K2026.02 | 0.9491 | 0.9392 | |
| DN-PIQA2026.02 | 0.943 | 0.9379 | |
| SFIQA-Assessor-STraining Dataset=CGFIQA-40K2026.02 | 0.935 | 0.9376 | |
| MUSIQ2026.02 | 0.9243 | 0.9203 | |
| HyperIQA2026.02 | 0.8923 | 0.8846 | |
| CLIPIQA2026.02 | 0.8484 | 0.8519 | |
| TReS2026.02 | 0.7967 | 0.767 | |
| DSL-FIQATraining Dataset=SFIQA-Bench2026.02 | 0.7573 | 0.7788 | |
| SFIQA-Assessor-STraining Dataset=SFIQA-Bench2026.02 | 0.6666 | 0.7092 | |
| SDD-FIQA2026.02 | 0.5633 | 0.5938 | |
| SER-FIQ2026.02 | 0.4873 | 0.5239 |