No-Reference Video Quality Assessment on KoNViD 8 (full)
0.851SROCCCONVIQT
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| CONVIQTModel Type=Unsupervised Pretraining2022.06 | 0.851 | 0.849 | |
| CONTRIQUEModel Type=Unsupervised Pretraining2022.06 | 0.844 | 0.842 | |
| Li et al.Model Type=Supervised Pretraining2022.06 | 0.835 | 0.833 | |
| Resnet-50Model Type=Supervised Pretraining2022.06 | 0.82 | 0.823 | |
| GSTVQAModel Type=Supervised Pretraining2022.06 | 0.814 | 0.825 | |
| VSFAModel Type=Supervised Pretraining2022.06 | 0.794 | 0.798 | |
| PVQModel Type=Supervised Pretraining2022.06 | 0.791 | 0.786 | |
| RAPIQUEModel Type=Traditional/Handcrafted Features2022.06 | 0.788 | 0.805 | |
| VIDEVALModel Type=Traditional/Handcrafted Features2022.06 | 0.77 | 0.77 | |
| TLVQMModel Type=Traditional/Handcrafted Features2022.06 | 0.758 | 0.759 | |
| VBLIINDSModel Type=Traditional/Handcrafted Features2022.06 | 0.706 | 0.701 | |
| CSPTModel Type=Unsupervised Pretraining2022.06 | 0.701 | 0.673 | |
| BRISQUEModel Type=Traditional/Handcrafted Features2022.06 | 0.649 | 0.651 |