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ResearchFormerly WizWand

Fine-grained classification on Aircraft 1.0 (test)

93Top-1 AccuracyDCL
86.34488.07289.891.528Sep 25, 2019
Updated 8mo ago

Evaluation results

MethodLinks
DCLBackbone=ResNet-50, Annotation=false2019.0993
ACNetBackbone=ResNet-50, Annotation=false2019.0992.4
DFL-CNNBackbone=ResNet-50, Annotation=false2019.0991.7
ACNetBackbone=VGG-16, Annotation=false2019.0991.5
HBPASMBackbone=Resnet-34, Annotation=false2019.0991.3
DCLBackbone=VGG-16, Annotation=false2019.0991.2
MA-CNNBackbone=VGG-19, Annotation=false2019.0989.9
MaxEntBackbone=DenseNet-161, Annotation=false2019.0989.7
PC-DenseNet-161Backbone=DenseNet-161, Annotation=false2019.0989.2
Improved B-CNNBackbone=VGG-16, Annotation=false2019.0988.5
BoostCNNBackbone=VGG-16, Annotation=false2019.0988.5
MDTPBackbone=VGG-16, Annotation=true2019.0988.4
HIHCABackbone=VGG-16, Annotation=false2019.0988.3
RA-CNNBackbone=VGG-19, Annotation=false2019.0988.2
LRBPBackbone=VGG-16, Annotation=false2019.0987.3
B-CNNBackbone=VGG-16, Annotation=false2019.0986.9
KPBackbone=VGG-16, Annotation=false2019.0986.9
MG-CNNBackbone=ResNet-50, Annotation=true2019.0986.6