Fine-grained classification on Aircraft 1.0 (test)
93Top-1 AccuracyDCL
Evaluation Results
| Method | Links | |
|---|---|---|
| DCLBackbone=ResNet-50, Annotation=false2019.09 | 93 | |
| ACNetBackbone=ResNet-50, Annotation=false2019.09 | 92.4 | |
| DFL-CNNBackbone=ResNet-50, Annotation=false2019.09 | 91.7 | |
| ACNetBackbone=VGG-16, Annotation=false2019.09 | 91.5 | |
| HBPASMBackbone=Resnet-34, Annotation=false2019.09 | 91.3 | |
| DCLBackbone=VGG-16, Annotation=false2019.09 | 91.2 | |
| MA-CNNBackbone=VGG-19, Annotation=false2019.09 | 89.9 | |
| MaxEntBackbone=DenseNet-161, Annotation=false2019.09 | 89.7 | |
| PC-DenseNet-161Backbone=DenseNet-161, Annotation=false2019.09 | 89.2 | |
| Improved B-CNNBackbone=VGG-16, Annotation=false2019.09 | 88.5 | |
| BoostCNNBackbone=VGG-16, Annotation=false2019.09 | 88.5 | |
| MDTPBackbone=VGG-16, Annotation=true2019.09 | 88.4 | |
| HIHCABackbone=VGG-16, Annotation=false2019.09 | 88.3 | |
| RA-CNNBackbone=VGG-19, Annotation=false2019.09 | 88.2 | |
| LRBPBackbone=VGG-16, Annotation=false2019.09 | 87.3 | |
| B-CNNBackbone=VGG-16, Annotation=false2019.09 | 86.9 | |
| KPBackbone=VGG-16, Annotation=false2019.09 | 86.9 | |
| MG-CNNBackbone=ResNet-50, Annotation=true2019.09 | 86.6 |