Image Classification on Birdsnap original (test)
77.2AccuracyInception v3
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Inception v3Backbone=Inception v32021.02 | 77.2 | -1.776 | -1.354 | 0.848 | — | |
| ResNet-50Backbone=ResNet-502021.02 | 74.7 | -1.647 | -1.538 | 0.829 | — | |
| ResNet-152Backbone=ResNet-1522021.02 | 74.3 | -1.481 | -1.417 | 0.839 | — | |
| ResNet-101Backbone=ResNet-1012021.02 | 73.8 | -1.553 | -1.479 | 0.836 | — | |
| DenseNet-121Backbone=DenseNet-1212021.02 | 73.2 | -1.729 | -1.566 | 0.81 | — | |
| Inception v1Backbone=Inception v12021.02 | 73 | -2.483 | -1.807 | 0.806 | — | |
| DenseNet-201Backbone=DenseNet-2012021.02 | 72.6 | -1.645 | -1.493 | 0.822 | — | |
| DenseNet-169Backbone=DenseNet-1692021.02 | 71.4 | -1.756 | -1.644 | 0.815 | — | |
| MobileNet v2Backbone=MobileNet v22021.02 | 69.3 | -1.951 | -1.815 | 0.808 | — | |
| NASNet-A MobileBackbone=NASNet-A Mobile2021.02 | 68.3 | -1.835 | -1.778 | 0.824 | — | |
| LEEPtype=correlation_summary2021.02 | — | — | — | — | 0.27 | |
| LogMEtype=correlation_summary2021.02 | — | — | — | — | 0.67 | |
| NCEtype=correlation_summary2021.02 | — | — | — | — | 0.74 |