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Unsupervised Domain Adaptation on SVHN -> MNIST (test)

99.5AccuracyTarget Only
41.88456.84271.886.758Mar 2, 2017Nov 1, 2017Jul 3, 2018Mar 4, 2019Nov 3, 2019Jul 4, 2020Mar 5, 2021
Updated 8mo ago

Evaluation results

MethodLinks
Target OnlyInput format=Grayscale2017.0599.5
Self-EnsemblingInput format=Grayscale2017.0599.2
Target onlyEvaluation Protocol=Target only2017.1199.2
CSTArchitecture=DTN, Pre-trained=false2021.0398.2
DA_assInput format=Grayscale, Parameter tuning=Tuned2017.0597.6
RWOTArchitecture=DTN, Pre-trained=false2021.0397.5
CDANArchitecture=DTN, Pre-trained=false2021.0396.9
DA_assInput format=Grayscale, Parameter tuning=Fixed2017.0595.7
MECA2020.0295.2
UNIT2017.0390.53
UNITInput format=Grayscale2017.0590.5
CyCADAAdaptation Level=pixel+feat, Backbone=LeNet2017.1190.4
CORAL2020.0290.2
CyCADAInput format=Grayscale2017.0588.3
ATTInput format=Grayscale2017.0586.2
TRIPPLE2020.0286.2
GenToAdaptInput format=Grayscale2017.0584.7
DTNInput format=Grayscale2017.0584.4
DTN2017.1184.4
DTN2020.0284.4
DSNInput format=Grayscale2017.0582.7
DRCNInput format=Grayscale2017.0582
DTN2017.0381.88
TRUDAInput format=Grayscale2017.0578.8
SBADA-GANInput format=RGB, Classifier training space=Weighted combination2017.0576.1
ADDAInput format=Grayscale2017.0576
ADDA2017.1176
ADDA2020.0276
SBADA-GANInput format=RGB, Classifier training space=Source domain (Cs)2017.0574.2
DANNInput format=Grayscale2017.0573.9
RevGrad2020.0273.9
DANN2017.0373.85
DANN2017.1173.6
SBADA-GANInput format=RGB, Classifier training space=Target domain (Ct)2017.0572.2
MMDInput format=Grayscale2017.0571.1
CyCADAAdaptation Level=pixel only, Backbone=LeNet2017.1170.3
Source onlyEvaluation Protocol=Source only2017.1167.1
CORALInput format=Grayscale2017.0563.1
Source OnlyInput format=Grayscale2017.0560.1
SA2017.0359.32
EMO2020.0244.1