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

Video Understanding on MSU FR VQA Database

Metric: SRCC (higher is better)

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#Model↕SRCC▼Extra DataPaperDate↕Code
1VMAF Y (v061)0.942No--Code
2VMAF Y (v062)0.942No--Code
3VMAF Y (v063)0.942No--Code
4AHIQ0.937NoAttentions Help CNNs See Better: Attention-based...2022-04-22Code
5VMAF Y (v061_neg)0.914No--Code
6VIFp0.9079No---
7VSI0.9053No---
8MS-SSIM0.9026No--Code
9SR-SIM0.9014No---
10FSIM0.9No---
11SSIM0.8999No---
12HaarPSI0.8982NoA Haar Wavelet-Based Perceptual Similarity Index...2016-07-20-
13MDSI0.8971NoMean Deviation Similarity Index: Efficient and R...2016-08-26Code
14AVQT0.892No---
15PSNR0.8668No---
16FR GVSP-UGCVQA (single scale)0.864NoDeep Learning based Full-reference and No-refere...2021-06-02Code
17DVQA0.781No---
18ST-GREED0.7547NoST-GREED: Space-Time Generalized Entropic Differ...2020-10-26Code
19LPIPS0.7538NoThe Unreasonable Effectiveness of Deep Features ...2018-01-11Code
20FovVideoVDP0.537No--Code