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Object Recognition on VLCS

73.5Average AccuracyS-MLDG
65.38867.49469.671.706Jan 31, 2019Apr 12, 2019Jun 22, 2019Sep 2, 2019Nov 12, 2019Jan 22, 2020Apr 3, 2020

Evaluation results

MethodLinks
S-MLDGProtocol=Leave-one-dataset-out2020.0473.568.764.896.464————
S-MLDG2020.0473.5————68.764.896.464
Epi-FCR2019.0172.967.164.394.165.9————
S-Undo-BiasProtocol=Leave-one-dataset-out2020.0472.968.761.89566.1————
S-Undo-Bias2020.0472.9————68.761.89566.1
FFO-S-MLDGProtocol=Leave-one-dataset-out2020.0472.868.163.194.865.2————
FFO-S-MLDG2020.0472.8————68.163.194.865.2
MMD-AAE2019.0172.367.762.694.464.4————
MLDG2019.0172.367.761.394.465.9————
MMD-AAEProtocol=Leave-one-dataset-out2020.0472.367.762.694.464.4————
MLDGProtocol=Leave-one-dataset-out2020.0472.367.761.394.465.9————
MMD-AAE2020.0472.3————67.762.694.464.4
MLDG2020.0472.3————67.761.394.465.9
Undo-BiasProtocol=Leave-one-dataset-out2020.047268.160.393.766————
Undo-Bias2020.0472————68.160.393.766
DANN2019.0171.766.46492.663.6————
DANNProtocol=Leave-one-dataset-out2020.0471.766.46492.663.6————
DANN2020.0471.7————66.46492.663.6
AGG2019.0171.265.460.693.165.8————
AGGProtocol=Leave-one-dataset-out2020.0471.265.460.693.165.8————
AGG2020.0471.2————65.460.693.165.8
CrossGrad2019.0170.565.5609264.7————
CrossGradProtocol=Leave-one-dataset-out2020.0470.565.5609264.7————
CrossGrad2020.0470.5————65.5609264.7
MetaReg2019.0170.46560.292.364.2————
MetaRegProtocol=Leave-one-dataset-out2020.0470.46560.292.364.2————
MetaReg2020.0470.4————6560.292.364.2
CCSA2019.0170.267.162.192.359.1————
D-MTAE2019.0168.663.960.189.161.3————
LRE-SVM2019.0165.860.659.788.154.9————
DICA2019.0165.763.758.279.761————