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ResearchFormerly WizWand

Domain Adaptation on VisDA 2017 (test)

92.8Mean Class AccuracySelf-ensembling
20.2639.092557.92576.7575May 26, 2017Apr 21, 2018Mar 18, 2019Feb 12, 2020Jan 7, 2021Dec 4, 2021Oct 31, 2022
Updated 8mo ago

Evaluation results

MethodLinks
Self-ensemblingBackbone=ResNet-152, Test-time augmentation=true, Ensemble=5 independently trained networks2017.0692.8
Self-ensemblingBackbone=ResNet-152, Augmentation strategy=Competition config., Test-time augmentation=true2017.0692.41
Self-ensemblingBackbone=ResNet-152, Augmentation strategy=Reduced, Test-time augmentation=true2017.0692.25
Self-ensemblingBackbone=ResNet-152, Augmentation strategy=Reduced2017.0691.17
Self-ensemblingBackbone=ResNet-152, Augmentation strategy=Competition config.2017.0691.14
NLE-DA2017.0687.7
CST+SAMBackbone=ResNet-1012021.0386.5
BUPT_OVERFIT2017.0685.4
CSTBackbone=ResNet-1012021.0384.8
MCC+NWDBackbone=ResNet-1012022.0483.7
STARBackbone=ResNet-1012021.0382.7
Uni. Tokyo MIL2017.0682.4
MDD+FixMatchBackbone=ResNet-1012021.0382.4
MDD+NWDBackbone=ResNet-1012022.0482
MDDBackbone=ResNet-1012021.0381.6
CDAN+NWDBackbone=ResNet-1012022.0481.4
CST+SAMBackbone=ResNet-502021.0380.6
DALNBackbone=ResNet-1012022.0480.6
CDAN+VAT+EntropyBackbone=ResNet-1012021.0380.4
CDANBackbone=ResNet-1012021.0380.1
DANN+NWDBackbone=ResNet-1012022.0480
CSTBackbone=ResNet-502021.0379.9
DADABackbone=ResNet-1012022.0479.8
SCDABackbone=ResNet-101, reproduced_using_public_code=true2022.0479.7
DANNBackbone=ResNet-1012021.0379.5
FixMatchBackbone=ResNet-1012021.0379.5
MCCBackbone=ResNet-1012022.0478.8
TSABackbone=ResNet-1012022.0478.6
KLDBackbone=ResNet-1012021.0378.1
MDD+FixMatchBackbone=ResNet-502021.0377.8
MCDBackbone=ResNet-1012021.0377.7
Self-ensemblingBackbone=ResNet-152, Augmentation strategy=Minimal2017.0677.52
DIRT-TBackbone=ResNet-1012021.0377.2
GVB-GDBackbone=ResNet-101, reproduced_using_public_code=true2022.0477.2
MixMatchBackbone=ResNet-1012021.0377
MDDBackbone=ResNet-101, reproduced_using_public_code=true2022.0476.8
SENTRY2020.1276.7
SENTRYBackbone=ResNet-502021.0376.7
CDAN+VAT+EntropyBackbone=ResNet-502021.0376.5
CBSTBackbone=ResNet-1012021.0376.4
SWDBackbone=ResNet-1012022.0476.4
InstaPBM2020.1276.3
AFNBackbone=ResNet-1012021.0376.1
BSPBackbone=ResNet-1012022.0475.9
MDD+Implicit AlignmentBackbone=ResNet-502020.0675.8
MDD+LA2020.1275.8
MDD+IABackbone=ResNet-502021.0375.8
MDDBackbone=ResNet-502020.0674.6
MDD2020.1274.6
MDDBackbone=ResNet-502021.0374.6
FixMatchBackbone=ResNet-502021.0374.5
CDANBackbone=ResNet-1012022.0473.9
VATBackbone=ResNet-1012021.0373.4
3CATNBackbone=ResNet-502019.0973.2
MCDBackbone=ResNet-1012022.0471.9
BNMBackbone=ResNet-1012022.0470.4
CDAN+EBackbone=ResNet-502017.0570
CDANBackbone=ResNet-502019.0970
CDANBackbone=ResNet-502020.0670
CDAN2020.1270
CDANBackbone=ResNet-502021.0370
MCDBackbone=ResNet-502020.0669.8
MCD2020.1269.8
SimNetBackbone=ResNet-502019.0969.6
GTABackbone=ResNet-502017.0569.5
GTABackbone=ResNet-502020.0669.5
DANNBackbone=ResNet-502021.0369.3
MixMatchBackbone=ResNet-502021.0369.3
MCDBackbone=ResNet-502021.0369.2
DIRT-TBackbone=ResNet-502021.0368.2
VATBackbone=ResNet-502021.0368
MDD+Explicit AlignmentBackbone=ResNet-502020.0667.1
CDANBackbone=ResNet-502017.0566.8
FixMatch2020.1264.9
JANBackbone=ResNet-502017.0561.6
JANBackbone=ResNet-502019.0961.6
JANBackbone=ResNet-502020.0661.6
JAN2020.1261.6
WDGRLBackbone=ResNet-101, reproduced_using_public_code=true2022.0461.3
DANNBackbone=ResNet-1012022.0457.4
UniOT2022.1057.32
TNT2022.1055.3
RevGradBackbone=ResNet-502019.0955
RTNBackbone=ResNet-502019.0953.6
DANBackbone=ResNet-502019.0953
ResNet-101Backbone=ResNet-1012022.0452.4
ResNetBackbone=ResNet-502019.0949.5
DCC2022.1043.02
Source2020.1241
CMU2022.1034.64
UAN2022.1030.47
IWAN2022.1027.64
OSBP2022.1027.31
ATI2022.1026.34
RTN2022.1026.02
DANN2022.1025.65
ResNet2022.1025.44
PADA2022.1023.05