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ResearchFormerly WizWand

Video Quality Assessment on YouTube-UGC (10 train-test splits)

0.89SROCCDOVER
0.660160.719830.77950.83917Nov 9, 2022
Updated 8mo ago

Evaluation results

MethodLinks
DOVERSource (Pre-training) Quality Dataset=LSVQ [1], Fine-tuning=true2022.110.890.891
FAST-VQASource (Pre-training) Quality Dataset=LSVQ [1], Fine-tuning=true2022.110.8550.852
Li et al.Source (Pre-training) Quality Dataset=fused ([15,73-75]), Fine-tuning=true2022.110.8180.826
COINVQSource (Pre-training) Quality Dataset=self-collected, Fine-tuning=true2022.110.8160.802
CNN-TLVQMSource (Pre-training) Quality Dataset=handcraft + KoNiQ [73], Fine-tuning=true2022.110.8090.802
CNN-VIDEVALSource (Pre-training) Quality Dataset=handcraft + KoNiQ [73], Fine-tuning=true2022.110.8080.803
VIDEVALSource (Pre-training) Quality Dataset=NA (pure handcraft), Fine-tuning=true2022.110.7790.773
RAPIQUESource (Pre-training) Quality Dataset=handcraft + KoNiQ [73], Fine-tuning=true2022.110.7590.768
VSFASource (Pre-training) Quality Dataset=None, Fine-tuning=true2022.110.7240.743
TLVQMSource (Pre-training) Quality Dataset=NA (pure handcraft), Fine-tuning=true2022.110.6690.659