User-Generated Content Video Quality Assessment on KonViD 1k (test)
0.846SROCCFAST-VQA
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| FAST-VQA2022.08 | 0.846 | 0.854 | 0.638 | 0.337 | |
| 2BiVQA2022.08 | 0.815 | 0.835 | 0.629 | 0.352 | |
| RAPIQUE2022.08 | 0.807 | 0.815 | 0.618 | 0.364 | |
| ResNet-50Backbone=ResNet-502022.08 | 0.801 | 0.81 | 0.61 | 0.374 | |
| VIDEVAL2022.08 | 0.783 | 0.78 | 0.584 | 0.402 | |
| VGG-19Backbone=VGG-192022.08 | 0.774 | 0.784 | 0.584 | 0.395 | |
| TLVQM2022.08 | 0.772 | 0.768 | 0.577 | 0.41 | |
| StairIQA2022.08 | 0.767 | 0.778 | 0.57 | 0.881 | |
| HOSA2022.08 | 0.765 | 0.766 | 0.569 | 0.414 | |
| FRIQUEE2022.08 | 0.747 | 0.748 | 0.55 | 0.425 | |
| KonCept5122022.08 | 0.734 | 0.748 | 0.542 | 0.426 | |
| HIGRADE2022.08 | 0.72 | 0.726 | 0.531 | 0.439 | |
| CORNIA2022.08 | 0.716 | 0.713 | 0.523 | 0.448 | |
| V-BLIINDS2022.08 | 0.71 | 0.703 | 0.518 | 0.459 | |
| ResNet-50Train set=LIVE-VQC2020.05 | 0.69 | — | — | — | |
| BRISQUE2022.08 | 0.656 | 0.657 | 0.476 | 0.481 | |
| PaQ-2-PiQ2022.08 | 0.613 | 0.601 | 0.433 | 0.514 | |
| VIDEVALTrain set=YouTube-UGC2020.05 | 0.61 | — | — | — | |
| NIQE2022.08 | 0.541 | 0.553 | 0.379 | 0.533 | |
| ILNIQE2022.08 | 0.526 | 0.54 | 0.369 | 0.54 | |
| BMPRI2022.08 | 0.519 | 0.522 | 0.354 | 0.661 |