Video Quality Assessment on CSIQ-VQA (80/20 train-test)
0.907SROCCGREED-VMAF
Evaluation Results
| Method | Links | |
|---|---|---|
| GREED-VMAFModel=SVR with RBF kernel2021.09 | 0.907 | |
| ST-RREDModel=SVR with RBF kernel2021.09 | 0.813 | |
| ST-RRED2020.10 | 0.813 | |
| GREED-db2Wavelet Filter=db22020.10 | 0.786 | |
| GREED-HaarWavelet Filter=Haar2020.10 | 0.785 | |
| GREEDModel=SVR with RBF kernel2021.09 | 0.78 | |
| GREED-bior2.2Wavelet Filter=bior2.22020.10 | 0.78 | |
| MS-SSIMModel=SVR with RBF kernel2021.09 | 0.757 | |
| MS-SSIM2020.10 | 0.757 | |
| FSIM2020.10 | 0.752 | |
| SPEEDModel=SVR with RBF kernel2021.09 | 0.743 | |
| SPEED2020.10 | 0.743 | |
| SSIMModel=SVR with RBF kernel2021.09 | 0.705 | |
| SSIM2020.10 | 0.705 | |
| deepVQA2020.10 | 0.702 | |
| VMAFModel=SVR with RBF kernel2021.09 | 0.618 | |
| VMAF2020.10 | 0.618 | |
| PSNR2020.10 | 0.601 | |
| PSNRModel=SVR with RBF kernel2021.09 | 0.579 |