Image Classification on Cars original (test)
92.3AccuracyInception v3
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Inception v3Backbone=Inception v32021.02 | 92.3 | -1.637 | -1.195 | 1.259 | — | |
| ResNet-152Backbone=ResNet-1522021.02 | 92 | -1.334 | -1.128 | 1.26 | — | |
| ResNet-50Backbone=ResNet-502021.02 | 91.7 | -1.57 | -1.181 | 1.253 | — | |
| ResNet-101Backbone=ResNet-1012021.02 | 91.7 | -1.37 | -1.142 | 1.255 | — | |
| DenseNet-121Backbone=DenseNet-1212021.02 | 91.5 | -1.562 | -1.111 | 1.249 | — | |
| DenseNet-169Backbone=DenseNet-1692021.02 | 91.5 | -1.505 | -1.192 | 1.252 | — | |
| DenseNet-201Backbone=DenseNet-2012021.02 | 91 | -1.687 | -1.319 | 1.251 | — | |
| Inception v1Backbone=Inception v12021.02 | 91 | -2.149 | -1.201 | 1.246 | — | |
| MobileNet v2Backbone=MobileNet v22021.02 | 91 | -1.695 | -1.312 | 1.25 | — | |
| NASNet-A MobileBackbone=NASNet-A Mobile2021.02 | 88.5 | -1.588 | -1.334 | 1.254 | — | |
| LEEPtype=correlation_summary2021.02 | — | — | — | — | 0.41 | |
| LogMEtype=correlation_summary2021.02 | — | — | — | — | 0.65 | |
| NCEtype=correlation_summary2021.02 | — | — | — | — | 0.35 |