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SotA/Computer Vision/Image Quality Assessment/MSU NR VQA Database

Image Quality Assessment on MSU NR VQA Database

Metric: PLCC (higher is better)

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#Model↕PLCC▼Extra DataPaperDate↕Code
1UNIQUE0.9238NoUNIQUE: Unsupervised Image Quality Estimation2018-10-15Code
2LINEARITY0.9106NoNorm-in-Norm Loss with Faster Convergence and Be...2020-08-10Code
3MUSIQ0.9068NoMUSIQ: Multi-scale Image Quality Transformer2021-08-12Code
4SPAQ BL0.8855No--Code
5SPAQ MT-A0.8824No--Code
6SPAQ MT-S0.8814No--Code
7NIMA0.8784NoNIMA: Neural Image Assessment2017-09-15Code
8PaQ-2-PiQ0.8549NoFrom Patches to Pictures (PaQ-2-PiQ): Mapping th...2019-12-20Code
9KonCept5120.8464NoKonIQ-10k: An ecologically valid database for de...2019-10-14Code
10MEON0.2898No---