| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Quality Assessment | KADID | SRCC77.5 | 128 | |
| No-Reference Image Quality Assessment | KADID-10K | SROCC0.97 | 115 | |
| Image Quality Assessment | KADID-10k (test) | SRCC0.978 | 91 | |
| No-Reference Image Quality Assessment | KADID | SRCC0.934 | 43 | |
| No-Reference Image Quality Assessment | KADID (test) | SROCC0.934 | 42 | |
| Image Quality Assessment | KADID-10k | SRCC0.927 | 21 | |
| Full-Reference Image Quality Assessment | KADID-10K (test) | Accuracy94.3 | 19 | |
| Full-Reference Image Quality Assessment | KADID | SRCC0.946 | 17 | |
| No-Reference Image Quality Assessment | KADID 1.0 (test) | PLCC0.766 | 15 | |
| No-Reference Image Quality Assessment | KADID (80/20 split) | PLCC0.858 | 13 | |
| Image Quality Assessment | KADID-10k | SROCC (Clean)0.954 | 12 | |
| Image Quality Assessment | KADID (Synthetic) | SRCC0.934 | 11 | |
| Full-Reference Image Quality Assessment | KADID-10K | SRCC0.946 | 10 | |
| Image Deepfake Detection | KADID | Accuracy89.92 | 9 | |
| Full-Reference Image Quality Assessment | KADID (test) | SROCC0.946 | 7 | |
| Full-Reference Image Quality Assessment | KADID10K (test) | PLCC0.95 | 5 | |
| Whole-Image Ranking | KADID-10k | Ranking Accuracy84.72 | 4 |