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PIPAL

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image Quality AssessmentPIPAL
SRCC69
162
No-reference Image Quality AssessmentPIPAL
PLCC0.649
35
Image Quality AssessmentPIPAL NTIRE 2021 IQA Challenge (test)
PLCC0.877
32
Full-Reference Image Quality AssessmentPIPAL
PLCC0.837
30
Image Quality AssessmentPIPAL NTIRE 2022 IQA Challenge (test)
SROCC0.822
30
Image Quality AssessmentPIPAL NTIRE 2022 (val)
SROCC0.852
29
Full-Reference Image Quality AssessmentPIPAL (test)
Accuracy81
19
No-Reference Image Quality AssessmentPIPAL (test)
PLCC0.669
18
Image Quality AssessmentPIPAL (full)
PLCC0.837
17
Image Quality ComparisonPIPAL
Accuracy73.4
16
No-Reference Image Quality AssessmentPIPAL 1.0 (test)
PLCC0.511
15
Image Quality AssessmentPIPAL (val)
PLCC0.763
14
No-Reference Image Quality AssessmentPIPAL (full)
PLCC0.4252
12
Label Distribution LearningPIPAL-LDL
KL Divergence0.1162
8
Image Quality AssessmentPIPAL train (test)
SRCC0.464
7
Image Quality AssessmentPIPAL (train)
SRCC0.478
7
Image Quality AssessmentPIPAL (test)
SRCC0.701
6
Image Quality AssessmentPIPAL (out-of-distribution)
PLCC66.9
5
IQA Score RegressionPIPAL
PLCC0.724
5
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