Effnet-2C-MLSP

Reported on 4 benchmarks across 2 tasks · 1 paper

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

Computer Vision4 results

Image Quality AssessmentonUHD-IQA
PLCC· 2022-12-12
0.641
best: 0.786 (LAR-IQA (KAN head))
KonX: Cross-Resolution Image Quality Assessment arXiv:2212.05813
Image Quality AssessmentonUHD-IQA
SRCC· 2022-12-12
0.675
best: 0.836 (LAR-IQA (KAN head))
KonX: Cross-Resolution Image Quality Assessment arXiv:2212.05813
No-Reference Image Quality AssessmentonUHD-IQA
PLCC· 2022-12-12
0.641
best: 0.786 (LAR-IQA (KAN head))
KonX: Cross-Resolution Image Quality Assessment arXiv:2212.05813
No-Reference Image Quality AssessmentonUHD-IQA
SRCC· 2022-12-12
0.675
best: 0.836 (LAR-IQA (KAN head))
KonX: Cross-Resolution Image Quality Assessment arXiv:2212.05813