Image Classification on Pets original (test)
94.5AccuracyResNet-152
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ResNet-152Backbone=ResNet-1522021.02 | 94.5 | -0.892 | -0.862 | 1.084 | — | |
| ResNet-101Backbone=ResNet-1012021.02 | 94 | -0.915 | -0.885 | 1.061 | — | |
| Inception v3Backbone=Inception v32021.02 | 93.5 | -1.129 | -0.893 | 1.191 | — | |
| DenseNet-169Backbone=DenseNet-1692021.02 | 93.1 | -1.111 | -1.072 | 0.874 | — | |
| DenseNet-121Backbone=DenseNet-1212021.02 | 92.9 | -1.1 | -0.987 | 0.839 | — | |
| DenseNet-201Backbone=DenseNet-2012021.02 | 92.8 | -1.108 | -1.026 | 0.908 | — | |
| ResNet-50Backbone=ResNet-502021.02 | 92.5 | -1.031 | -0.956 | 1.029 | — | |
| Inception v1Backbone=Inception v12021.02 | 91.9 | -1.52 | -1.076 | 0.913 | — | |
| MobileNet v2Backbone=MobileNet v22021.02 | 90.5 | -1.228 | -1.156 | 0.821 | — | |
| NASNet-A MobileBackbone=NASNet-A Mobile2021.02 | 89.4 | -1.15 | -1.146 | 0.833 | — | |
| LEEPtype=correlation_summary2021.02 | — | — | — | — | 0.65 | |
| LogMEtype=correlation_summary2021.02 | — | — | — | — | 0.58 | |
| NCEtype=correlation_summary2021.02 | — | — | — | — | 0.84 |