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Models/DB-CNN

DB-CNN

Reported on 12 benchmarks across 2 tasks · 1 paper · 12 SOTA

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

Computer Vision12 results

Image Quality AssessmentonKADID-10k
PLCC· 2019-07-05
0.856
best: 0.98 (RvTC (image-only))
SOTA
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network arXiv:1907.02665
Image Quality AssessmentonKADID-10k
SRCC· 2019-07-05
0.851
best: 0.98 (RvTC (image-only))
SOTA
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network arXiv:1907.02665
Image Quality AssessmentonTID2013
PLCC· 2019-07-05
0.865
best: 0.956 (UNIQA)
SOTA
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network arXiv:1907.02665
Image Quality AssessmentonTID2013
SRCC· 2019-07-05
0.816
best: 0.953 (UNIQA)
SOTA
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network arXiv:1907.02665
Image Quality AssessmentonCSIQ
PLCC· 2019-07-05
0.959
best: 0.973 (ARNIQA)
SOTA
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network arXiv:1907.02665
Image Quality AssessmentonCSIQ
SRCC· 2019-07-05
0.946
best: 0.964 (UNIQA)
SOTA
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network arXiv:1907.02665
No-Reference Image Quality AssessmentonKADID-10k
PLCC· 2019-07-05
0.856
best: 0.98 (RvTC (image-only))
SOTA
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network arXiv:1907.02665
No-Reference Image Quality AssessmentonKADID-10k
SRCC· 2019-07-05
0.851
best: 0.98 (RvTC (image-only))
SOTA
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network arXiv:1907.02665
No-Reference Image Quality AssessmentonTID2013
PLCC· 2019-07-05
0.865
best: 0.956 (UNIQA)
SOTA
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network arXiv:1907.02665
No-Reference Image Quality AssessmentonTID2013
SRCC· 2019-07-05
0.816
best: 0.953 (UNIQA)
SOTA
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network arXiv:1907.02665
No-Reference Image Quality AssessmentonCSIQ
PLCC· 2019-07-05
0.959
best: 0.973 (ARNIQA)
SOTA
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network arXiv:1907.02665
No-Reference Image Quality AssessmentonCSIQ
SRCC· 2019-07-05
0.946
best: 0.964 (UNIQA)
SOTA
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network arXiv:1907.02665