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Domain Adaptation Classification research benchmarks · SOTA2 Research

Domain Adaptation Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Office-31 (test)

97A -> W Accuracy

31

Feb 26, 2026

96Accuracy

26

Feb 26, 2026

99.4Accuracy

25

Feb 26, 2026

96.4Accuracy

23

Feb 26, 2026

SVHN → MNIST (test)

0.005Error Rate

12

Feb 26, 2026

Synthetic Signs → GTSRB (test)

1.82Error Rate (%)

10

Feb 26, 2026

Synthetic Digits → SVHN (test)

7.09Error Rate (%)

10

Feb 26, 2026

Office+Caltech cross-domain tasks average DeCAF6

0.84Average Runtime (s)

6

Feb 26, 2026

MSRC+VOC cross-domain tasks average

0.69Average Runtime (s)

6

Feb 26, 2026

MNIST+USPS cross-domain tasks average

0.75Average Runtime (s)

6

Feb 26, 2026

Consistent Disagreement Discrepancy Surrogate

62.1Error (Art)

1

Feb 26, 2026

Popular datasets

SVHN OfficeHome MNIST Office Office + Caltech

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