List your company
ResearchFormerly WizWand

Image Classification on MNIST -> USPS (test)

99.5AccuracyDTA
29.71647.83365.9584.067Oct 15, 2015Jun 13, 2017Feb 10, 2019Oct 10, 2020Jun 9, 2022Feb 6, 2024Oct 6, 2025
Updated 7mo ago

Evaluation results

MethodLinks
DTA2019.1099.5
Mean TeacherTraining Protocol=Unsupervised Domain Adaptation, Augmentation Type=TF2017.0698.26
Mean TeacherTraining Protocol=Unsupervised Domain Adaptation, Augmentation Type=TFA, Confidence Thresholding=true2017.0698.23
Mean TeacherTraining Protocol=Unsupervised Domain Adaptation, Augmentation Type=TF, Confidence Thresholding=true2017.0698.13
SE*Protocol=MT+CT+TF2019.1098.1
SupTgtTraining Protocol=Train on Target, Augmentation Type=TFA2017.0697.83
Target only (baseline)training=Target domain only2019.1097.8
SupTgtTraining Protocol=Train on Target, Augmentation Type=TF2017.0697.65
SupTgtTraining Protocol=Train on Target, Augmentation Type=minimal2017.0697.29
MCD (Ours)n (number of feature generator updates)=42017.1296.5
Proposed MethodTask=Rotation2019.0996.5
Source only (baseline)training=Source domain only2019.1096.3
SupSrcTraining Protocol=Train on Source, Augmentation Type=TFA2017.0696.25
PixelDA2017.1295.9
MCD (Ours)n (number of feature generator updates)=32017.1295.6
CyCADA2019.0995.6
SupSrcTraining Protocol=Train on Source, Augmentation Type=TF2017.0695.39
SBADA-GANTraining Protocol=Unsupervised Domain Adaptation2017.0695.04
Source only (Our method)mode=source only2019.0994.7
MCD (Ours)n (number of feature generator updates)=42017.1294.2
MCD (Ours)n (number of feature generator updates)=32017.1293.8
MCD (Ours)n (number of feature generator updates)=22017.1293.1
G2ATraining Protocol=Unsupervised Domain Adaptation2017.0692.5
MCD (Ours)n (number of feature generator updates)=22017.1292.1
DRCN2017.1291.8
DCRNTraining Protocol=Unsupervised Domain Adaptation2017.0691.8
DSNlabeled target samples for validation=true2017.1291.3
CoGAN2017.0291.2
COGAN2017.1291.2
RevGradTraining Protocol=Unsupervised Domain Adaptation2017.0691.11
SWB1DGk=1002025.1090.1
SOTDDk=1002025.1089.6
ADDA2017.0289.4
ADDA2017.1289.4
ADDATraining Protocol=Unsupervised Domain Adaptation2017.0689.4
ADDA2019.0989.4
COGAN2017.1289.1
Mean TeacherTraining Protocol=Unsupervised Domain Adaptation, Augmentation Type=minimal, Confidence Thresholding=true2017.0688.14
Trained on Qk=1002025.1087.5
DANNlabeled target samples for validation=true2017.1285.1
SupSrcTraining Protocol=Train on Source, Augmentation Type=minimal2017.0682.03
MMD2017.1281.1
JGSAkernel=primal2017.0580.44
SOTDDk=102025.1080.1
Source Onlyadaptation=none2017.1279.4
Domain confusion2017.0279.1
SWB1DGk=102025.1077.8
Gradient reversal2017.0277.1
DANNlabeled target samples for validation=true2017.1277.1
Source Onlyadaptation=none2017.1276.7
SOTDDk=52025.1075.7
Source only2017.0275.2
SWB1DGk=52025.1073.5
OTDDk=52025.1073.3
OTDDk=102025.1072.7
SA2017.0567.78
JDA2017.0567.28
Rawadaptation=none2017.0565.94
SCABase Classifier=1NN, Supervision=Semi-supervised2015.1065.11
SCA2017.0565.11
SDA2017.0565
uSCABase Classifier=1NN, Supervision=Unsupervised2015.1064.67
SABase Classifier=1NN2015.1063.95
TJM2017.0563.28
RawBase Classifier=1NN2015.1063.06
KPCABase Classifier=1NN2015.1062.61
TJMBase Classifier=1NN2015.1062
GFKBase Classifier=1NN2015.1061.22
GFK2017.0561.22
Trained on Qk=102025.1060.3
SSTCABase Classifier=1NN2015.1060.13
TSCBase Classifier=1NN2015.1059.56
TCABase Classifier=1NN2015.1059.44
TCA2017.0556.33
Trained on Qk=52025.1051.4
SOTDDk=12025.1050.1
SWB1DGk=12025.1045.4
OTDDk=12025.1039.5
Trained on Qk=12025.1032.4