Video Quality Assessment on LIVE-VQC (10 train-test splits)
0.86SROCCDOVER
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DOVERSource (Pre-training) Quality Dataset=LSVQ [1], Fine-tuning=true2022.11 | 0.86 | 0.875 | |
| FAST-VQASource (Pre-training) Quality Dataset=LSVQ [1], Fine-tuning=true2022.11 | 0.849 | 0.862 | |
| Li et al.Source (Pre-training) Quality Dataset=fused ([15,73-75]), Fine-tuning=true2022.11 | 0.834 | 0.842 | |
| Patch-VQSource (Pre-training) Quality Dataset=PaQ-2-PiQ [60], Fine-tuning=true2022.11 | 0.827 | 0.837 | |
| CNN-TLVQMSource (Pre-training) Quality Dataset=handcraft + KoNiQ [73], Fine-tuning=true2022.11 | 0.825 | 0.834 | |
| TLVQMSource (Pre-training) Quality Dataset=NA (pure handcraft), Fine-tuning=true2022.11 | 0.799 | 0.803 | |
| CNN-VIDEVALSource (Pre-training) Quality Dataset=handcraft + KoNiQ [73], Fine-tuning=true2022.11 | 0.785 | 0.81 | |
| VSFASource (Pre-training) Quality Dataset=None, Fine-tuning=true2022.11 | 0.773 | 0.795 | |
| RAPIQUESource (Pre-training) Quality Dataset=handcraft + KoNiQ [73], Fine-tuning=true2022.11 | 0.755 | 0.786 | |
| VIDEVALSource (Pre-training) Quality Dataset=NA (pure handcraft), Fine-tuning=true2022.11 | 0.752 | 0.751 |