Video Quality Assessment on Aggregate VQA Datasets (UGC, CGVDS, LIVE, SFV, AIGVQA)
10SRCCBase model
Evaluation results
| Method | Links | |
|---|---|---|
| Base modelSelection method=Base model, Labeling budget=5%, Protocol=Active fine-tuning2026.03 | 10 | |
| Random samplingSelection method=Random sampling, Labeling budget=5%, Protocol=Active fine-tuning2026.03 | 9 | |
| MC dropoutSelection method=MC dropout, Labeling budget=5%, Protocol=Active fine-tuning2026.03 | 8 | |
| Greedy samplingSelection method=Greedy sampling, Labeling budget=5%, Protocol=Active fine-tuning2026.03 | 7 | |
| Sampling by RDSelection method=Sampling by RD, Labeling budget=5%, Protocol=Active fine-tuning2026.03 | 6 | |
| Core-set selectionSelection method=Core-set selection, Labeling budget=5%, Protocol=Active fine-tuning2026.03 | 5 | |
| ALCSSelection method=ALCS, Labeling budget=5%, Protocol=Active fine-tuning2026.03 | 4 | |
| NoiseStabilitySelection method=NoiseStability, Labeling budget=5%, Protocol=Active fine-tuning2026.03 | 3 | |
| FreeSelSelection method=FreeSel, Labeling budget=5%, Protocol=Active fine-tuning2026.03 | 2 | |
| MDS-VQASelection method=MDS-VQA, Labeling budget=5%, Protocol=Active fine-tuning2026.03 | 1 |