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Multi-label Image Classification on NUS-WIDE 81 concept labels (test)

58.7F1 (Class)Ours-S-Cls (w/)
22.92432.21241.550.788Feb 20, 2017May 26, 2017Aug 30, 2017Dec 3, 2017Mar 9, 2018Jun 12, 2018Sep 16, 2018

Evaluation results

MethodLinks
Ours-S-Cls (w/)Prediction Scope=All, Knowledge Distillation=true2018.0958.760.1——73.7——
ResNet-SRNlabel prediction strategy=All2017.0258.56265.255.873.475.571.5
ResNet-SRN-attlabel prediction strategy=All2017.0256.961.867.552.573.276.570.1
ResNet-101label prediction strategy=All2017.0255.759.865.851.972.575.969.5
ResNet-107label prediction strategy=All2017.0255.659.565.452.272.675.570
Attention transferPrediction Scope=All2018.0955.257.6——70.3——
ResNet-101-semanticlabel prediction strategy=All2017.0254.960.169.348.672.676.968.8
FitNetsPrediction Scope=All2018.0954.957.4——70.4——
DistillationPrediction Scope=All2018.0954.357.2——69.5——
Ours-S-Cls (w/)Prediction Scope=Top-3, Knowledge Distillation=true2018.0953.8———71.1——
CNN-LSEPPrediction Scope=All2018.0952.9———70.8——
CNN-SREL-RNNPrediction Scope=All2018.0952.8———71——
Ours-S-Cls (w/o)Prediction Scope=All, Knowledge Distillation=false2018.095255.6——67.2——
Attention transferPrediction Scope=Top-32018.0951.7———68.8——
FitNetsPrediction Scope=Top-32018.0951.4———68.6——
DistillationPrediction Scope=Top-32018.0950.3———67.5——
ResNet-SRNlabel prediction strategy=top-32017.0248.9—48.258.962.256.269.6
ResNet-SRN-attlabel prediction strategy=top-32017.0247.7—47.457.762.256.269.6
Ours-S-Cls (w/o)Prediction Scope=Top-3, Knowledge Distillation=false2018.0947.5———64.8——
ResNet-101label prediction strategy=top-32017.0247—46.956.861.755.869.1
ResNet-101-semanticlabel prediction strategy=top-32017.0247—46.455.361.855.969.2
ResNet-107label prediction strategy=top-32017.0246.9—46.756.861.855.969.2
RLSDPrediction Scope=Top-32018.0946.9———60.3——
MCG-CNN-LSTMPrediction Scope=Top-32018.0946.1———59.9——
Tag-NeighborsPrediction Scope=Top-32018.0945.2———62.5——
CNN-RNNlabel prediction strategy=top-32017.0234.7—40.530.455.249.961.7
CNN-RNNPrediction Scope=Top-32018.0934.7———55.2——
WARPlabel prediction strategy=top-32017.0233.5—31.735.653.948.660.5
KNNlabel prediction strategy=top-32017.0224.3—32.619.347.642.953.4
KCCAPrediction Scope=All2018.09—52.2—————
MCG-CNN-LSTMPrediction Scope=All2018.09—52.4—————
RLSDPrediction Scope=All2018.09—54.1—————
Tag-NeighborsPrediction Scope=All2018.09—52.8—————