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Image Classification on MNIST to MNIST-M (test)

98.91AccuracyTrain on Target
42.739657.322371.90586.4877Sep 26, 2014Jul 27, 2015May 26, 2016Mar 27, 2017Jan 25, 2018Nov 25, 2018Sep 26, 2019

Evaluation results

MethodLinks
Train on Targetadaptation=fully supervised on target domain2014.0998.91—
DIRT-T2019.0998.9—
Proposed MethodTask=Rotation2019.0998.9—
Target-only2016.0898.7—
DIRT-TBackbone=Instance Normalization2019.0998.7—
PixelDA2019.0998.2—
VADA2019.0997.7—
VADABackbone=Instance Normalization2019.0995.7—
ATT2019.0994.2—
KNN-Ad2019.0986.7—
DSNsimilarity loss=DANN2016.0883.2—
DSN2019.0983.2—
DANN2019.0981.5—
Unsupervised Domain Adaptation by Backpropagationadaptation=unsupervised backpropagation2014.0981.4957.9
DSNsimilarity loss=MMD2016.0880.5—
DANN2016.0877.4—
MMD2016.0876.9—
CorReg2016.0862.06—
SAmethod_type=Subspace Alignment2014.0960.787.9
Source only (VADA & DIRT-T)mode=source only, Backbone=Instance Normalization2019.0959.9—
Source only (VADA & DIRT-T)mode=source only2019.0958.5—
CORAL2016.0857.7—
Source Onlyadaptation=none2014.0957.49—
Source-only2016.0856.6—
Source only (Our method)mode=source only2019.0944.9—