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ResearchFormerly WizWand

Unsupervised Domain Adaptation on MNIST to USPS (test)

0.985AccuracyRWOT
0.781160.834080.8870.93992Mar 2, 2017Nov 1, 2017Jul 3, 2018Mar 4, 2019Nov 3, 2019Jul 4, 2020Mar 5, 2021
Updated 8mo ago

Evaluation results

MethodLinks
RWOTArchitecture=DTN, Pre-trained=false2021.030.985
CSTArchitecture=DTN, Pre-trained=false2021.030.985
Self-Ensembling2017.050.983
SBADA-GANClassifier training space=Weighted combination2017.050.976
SBADA-GANClassifier training space=Source domain (Cs)2017.050.971
SBADA-GANClassifier training space=Target domain (Ct)2017.050.967
Target Only2017.050.965
Target onlyEvaluation Protocol=Target only2017.110.963
UNIT2017.030.9597
PixelDA2017.050.959
UNIT2017.050.959
CoGAN2017.030.9565
CyCADAAdaptation Level=pixel only, Backbone=LeNet2017.110.956
CyCADAAdaptation Level=pixel+feat, Backbone=LeNet2017.110.956
CDANArchitecture=DTN, Pre-trained=false2021.030.956
CyCADA2017.050.948
GenToAdapt2017.050.925
DRCN2017.050.918
DSN2017.050.913
CoGAN2017.050.912
COGAN2017.110.912
ADDA2017.050.894
ADDA2017.110.894
DANN2017.050.851
Source onlyEvaluation Protocol=Source only2017.110.822
CORAL2017.050.817
MMD2017.050.811
Source Only2017.050.789