FSIM

Reported on 18 benchmarks across 5 tasks

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision13 results

Video UnderstandingonMSU SR-QA Dataset
KLCC
0.26942
best: 0.69774 (ClipIQA+)
Video UnderstandingonMSU SR-QA Dataset
PLCC
0.35083
best: 0.75743 (PieAPP)
Video UnderstandingonMSU SR-QA Dataset
SROCC
0.34996
best: 0.75215 (PieAPP)
Video UnderstandingonMSU FR VQA Database
KLCC
0.7418
best: 0.809 (VMAF Y (v061))
Video UnderstandingonMSU FR VQA Database
SRCC
0.9
best: 0.942 (VMAF Y (v061))
Image Quality AssessmentonMSU FR VQA Database
SRCC
0.9
best: 0.937 (AHIQ)
Image Quality AssessmentonKADID10K
SRCC
0.8294
best: 0.8853 (MDSI)
VideoonMSU SR-QA Dataset
KLCC
0.26942
best: 0.69774 (ClipIQA+)
VideoonMSU SR-QA Dataset
PLCC
0.35083
best: 0.75743 (PieAPP)
VideoonMSU SR-QA Dataset
SROCC
0.34996
best: 0.75215 (PieAPP)
VideoonMSU FR VQA Database
KLCC
0.7418
best: 0.809 (VMAF Y (v061))
VideoonMSU FR VQA Database
SRCC
0.9
best: 0.942 (VMAF Y (v061))
Full reference image quality assessmentonKADID10K
SRCC
0.8294
best: 0.8853 (MDSI)