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SotA/Computer Vision/Video Understanding/MSU FR VQA Database

Video Understanding on MSU FR VQA Database

Metric: PLCC (higher is better)

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#Model↕PLCC▼Extra DataPaperDate↕Code
1VMAF Y (v061)0.952No--Code
2VMAF Y (v062)0.95No--Code
3VMAF Y (v063)0.95No--Code
4VMAF Y (v061_neg)0.941No--Code
5MS-SSIM0.9375No--Code
6SSIM0.9253No---
7AVQT0.9158No---
8FR GVSP-UGCVQA (single scale)0.893NoDeep Learning based Full-reference and No-refere...2021-06-02Code
9PSNR0.8725No---
10LPIPS0.8128NoThe Unreasonable Effectiveness of Deep Features ...2018-01-11Code
11ST-GREED0.8116NoST-GREED: Space-Time Generalized Entropic Differ...2020-10-26Code
12DVQA0.7843No---
13FovVideoVDP0.607No--Code