Image Quality Assessment on PIQ23 (Overall)
0.78SRCCFULL-HyperIQA
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| FULL-HyperIQABackbone=ImageNet (backbone only)2024.02 | 0.78 | 0.78 | 0.59 | 1.12 | |
| MUSIQTraining Dataset=KonIQ-10k2024.02 | 0.76 | 0.75 | 0.57 | 0.95 | |
| SEM-HyperIQABackbone=ImageNet (backbone only)2024.02 | 0.75 | 0.75 | 0.56 | 1.03 | |
| SEM-HyperIQA-COBackbone=ImageNet (backbone only)2024.02 | 0.75 | 0.71 | 0.55 | 0.85 | |
| MUSIQTraining Dataset=PaQ-2-PiQ2024.02 | 0.74 | 0.74 | 0.54 | 1.09 | |
| HyperIQABackbone=ImageNet (backbone only)2024.02 | 0.74 | 0.74 | 0.55 | 0.99 | |
| SEM-HyperIQA-COBackbone=ImageNet (backbone only)2024.02 | 0.74 | 0.74 | 0.55 | 1.04 | |
| FULL-HyperIQABackbone=ImageNet (backbone only)2024.02 | 0.74 | 0.72 | 0.55 | 0.8 | |
| SEM-HyperIQABackbone=ImageNet (backbone only)2024.02 | 0.73 | 0.65 | 0.55 | 0.88 | |
| MUSIQTraining Dataset=PaQ-2-PiQ2024.02 | 0.72 | 0.77 | 0.53 | 0.9 | |
| MUSIQTraining Dataset=KonIQ-10k2024.02 | 0.71 | 0.67 | 0.52 | 0.88 | |
| HyperIQABackbone=ImageNet (backbone only)2024.02 | 0.7 | 0.67 | 0.5 | 0.94 | |
| DB-CNNTraining Dataset=LIVE C2024.02 | 0.59 | 0.64 | 0.43 | 1.04 | |
| DB-CNNTraining Dataset=LIVE C2024.02 | 0.59 | 0.51 | 0.45 | 0.99 |