Image Quality Assessment on PIPAL (full)
0.837PLCCTOPIQ-FR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TOPIQ-FRTraining Dataset=PIPAL [10]2024.12 | 0.837 | 0.809 | |
| PieAPPTraining Dataset=PieAPP [23]2024.12 | 0.702 | 0.701 | |
| Our-EffNetBackbone=EfficientNet [31], Mode=Training-free2024.12 | 0.694 | 0.656 | |
| Our-VGGBackbone=VGG [29], Mode=Training-free2024.12 | 0.675 | 0.657 | |
| DISTS2024.12 | 0.645 | 0.627 | |
| MAD2024.12 | 0.614 | 0.591 | |
| GMSD2024.12 | 0.614 | 0.569 | |
| FSIM2024.12 | 0.597 | 0.573 | |
| LPIPSTraining Dataset=LPIPS [39]2024.12 | 0.584 | 0.584 | |
| VIF2024.12 | 0.572 | 0.545 | |
| MS-SSIM2024.12 | 0.571 | 0.545 | |
| VSI2024.12 | 0.548 | 0.526 | |
| Our-ResNetBackbone=ResNet-50 [8], Mode=Training-free2024.12 | 0.538 | 0.524 | |
| DeepWSD2024.12 | 0.503 | 0.5 | |
| SSIM2024.12 | 0.489 | 0.486 | |
| NLPD2024.12 | 0.489 | 0.464 | |
| PSNR2024.12 | 0.398 | 0.392 |