Video Quality Assessment on KoNViD-1k (10 train-test splits)
0.909SROCCDOVER
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DOVERSource (Pre-training) Quality Dataset=LSVQ [1], Fine-tuning=true2022.11 | 0.909 | 0.906 | |
| FAST-VQASource (Pre-training) Quality Dataset=LSVQ [1], Fine-tuning=true2022.11 | 0.891 | 0.892 | |
| Li et al.Source (Pre-training) Quality Dataset=fused ([15,73-75]), Fine-tuning=true2022.11 | 0.834 | 0.836 | |
| CNN-TLVQMSource (Pre-training) Quality Dataset=handcraft + KoNiQ [73], Fine-tuning=true2022.11 | 0.816 | 0.818 | |
| CNN-VIDEVALSource (Pre-training) Quality Dataset=handcraft + KoNiQ [73], Fine-tuning=true2022.11 | 0.815 | 0.817 | |
| RAPIQUESource (Pre-training) Quality Dataset=handcraft + KoNiQ [73], Fine-tuning=true2022.11 | 0.803 | 0.817 | |
| Patch-VQSource (Pre-training) Quality Dataset=PaQ-2-PiQ [60], Fine-tuning=true2022.11 | 0.791 | 0.786 | |
| VIDEVALSource (Pre-training) Quality Dataset=NA (pure handcraft), Fine-tuning=true2022.11 | 0.783 | 0.78 | |
| TLVQMSource (Pre-training) Quality Dataset=NA (pure handcraft), Fine-tuning=true2022.11 | 0.773 | 0.768 | |
| VSFASource (Pre-training) Quality Dataset=None, Fine-tuning=true2022.11 | 0.773 | 0.775 | |
| COINVQSource (Pre-training) Quality Dataset=self-collected, Fine-tuning=true2022.11 | 0.767 | 0.764 |