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Partial Domain Adaptation research benchmarks · SOTA2 Research

Partial Domain Adaptation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

80.2Average Accuracy

97

Feb 26, 2026

97.8Avg Accuracy

52

Feb 26, 2026

ImageNet-Caltech

83.68Average Accuracy

32

Feb 26, 2026

Office-31 (test)

98.98Accuracy (A -> W)

30

Jun 4, 2026

VisDA Synthetic-12 -> Real-6 2017

76.5Accuracy

25

Feb 26, 2026

Office-Home PDA protocol (first 25 categories)

65Accuracy A:C

15

Feb 26, 2026

78.1S2R Accuracy

12

Feb 26, 2026

76.2Avg Accuracy

10

Feb 26, 2026

91.7Accuracy S->R

10

Feb 26, 2026

ImageNet-Caltech C -> I

78.9Accuracy

9

Feb 26, 2026

Digital Dataset

97.2Acc (SVHN10→MNIST5)

9

Feb 26, 2026

VisDA 1% labeled ratio Synthetic-12 to Real-6 partial setting 2017

20.4CNG

5

Feb 26, 2026

Office-Home Product to Real World 5% labeled ratio partial setting

-12CNG

5

Feb 26, 2026

Office-Home Clipart to Real World 5% labeled ratio partial setting

-4.9CNG

5

Feb 26, 2026

Office-Home Ar -> Rw (5% labeled ratio) partial setting (Ar65 -> Rw25)

-14.6CNG

5

Feb 26, 2026

ImageNet -> Caltech (test)

83.3Accuracy

4

Feb 26, 2026

Popular datasets

Office-Home VisDA ImageNet-Caltech Office Digital Dataset

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