Artifact Detection on DeSRA Dataset prominent subset
0.542IoUprominence-modeling method
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| prominence-modeling methodthreshold=0.15, reference_input=MSE-SR2025.10 | 0.542 | 0.6104 | 1.5 | |
| SSIMthreshold=0.55, reference_input=MSE-SR2025.10 | 0.5327 | 0.573 | 2.3 | |
| prominence-modeling methodthreshold=0.15, reference_input=RLFN2025.10 | 0.5301 | 0.6031 | 1.5 | |
| DeSRAthreshold=0.3, reference_input=MSE-SR2025.10 | 0.5277 | 0.6928 | 3.3 | |
| SSIMthreshold=0.55, reference_input=RLFN2025.10 | 0.5243 | 0.6051 | 2.3 | |
| DISTSthreshold=0.25, reference_input=MSE-SR2025.10 | 0.4919 | 0.4408 | 5 | |
| prominence-modeling methodthreshold=0.3, reference_input=MSE-SR2025.10 | 0.4866 | — | — | |
| SSIMthreshold=0.55, reference_input=SPAN2025.10 | 0.459 | 0.3861 | 2.3 | |
| prominence-modeling methodthreshold=0.15, reference_input=SPAN2025.10 | 0.401 | 0.3874 | 1.5 | |
| LDLthreshold=0.005, reference_input=SPAN2025.10 | 0.3896 | 0.3418 | 5 | |
| LDLthreshold=0.005, reference_input=MSE-SR2025.10 | 0.3724 | 0.4687 | 5 | |
| LDLthreshold=0.005, reference_input=RLFN2025.10 | 0.3443 | 0.4182 | 5 |