Image Classification on Aircraft original (test)
88.8AccuracyInception v3
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Inception v3Backbone=Inception v32021.02 | 88.8 | -0.492 | -0.25 | 0.953 | — | |
| ResNet-50Backbone=ResNet-502021.02 | 86.6 | -0.412 | -0.297 | 0.946 | — | |
| ResNet-101Backbone=ResNet-1012021.02 | 85.6 | -0.349 | -0.244 | 0.948 | — | |
| DenseNet-121Backbone=DenseNet-1212021.02 | 85.4 | -0.431 | -0.296 | 0.938 | — | |
| ResNet-152Backbone=ResNet-1522021.02 | 85.3 | -0.308 | -0.214 | 0.95 | — | |
| DenseNet-201Backbone=DenseNet-2012021.02 | 84.6 | -0.462 | -0.322 | 0.942 | — | |
| DenseNet-169Backbone=DenseNet-1692021.02 | 84.5 | -0.34 | -0.259 | 0.943 | — | |
| MobileNet v2Backbone=MobileNet v22021.02 | 82.8 | -0.515 | -0.411 | 0.941 | — | |
| Inception v1Backbone=Inception v12021.02 | 82.7 | -0.795 | -0.348 | 0.934 | — | |
| NASNet-A MobileBackbone=NASNet-A Mobile2021.02 | 72.8 | -0.506 | -0.444 | 0.948 | — | |
| LEEPtype=correlation_summary2021.02 | — | — | — | — | 0.11 | |
| LogMEtype=correlation_summary2021.02 | — | — | — | — | 0.54 | |
| NCEtype=correlation_summary2021.02 | — | — | — | — | 0.4 |