Fine-grained Image Classification on Aircrafts 1.0 (val)
93.5AccuracyMPN-COV + SEB
Evaluation results
| Method | Links | |
|---|---|---|
| MPN-COV + SEBBackbone=EfficientNet-b52022.05 | 93.5 | |
| iSQRT-COVBackbone=EfficientNet-b52022.05 | 92.8 | |
| MPN-COV + SEBBackbone=ResNet-1522022.05 | 92.7 | |
| MPN-COVBackbone=EfficientNet-b52022.05 | 92.4 | |
| MPN-COV + SEBBackbone=ResNet-1012022.05 | 91.9 | |
| MPN-COV + SEBBackbone=ResNet-502022.05 | 91.4 | |
| MPN-COVBackbone=ResNet-1522022.05 | 91.3 | |
| CBP + RUNBackbone=VGG-162022.05 | 91 | |
| MPN-COV + SEBBackbone=VGG-162022.05 | 90.7 | |
| iSQRT-COVBackbone=ResNet-1522022.05 | 90.4 | |
| iSQRT-COVBackbone=ResNet-1012022.05 | 90.3 | |
| MPN-COVBackbone=ResNet-502022.05 | 89.9 | |
| GPBackbone=VGG-162022.05 | 89.8 | |
| MPN-COVBackbone=ResNet-1012022.05 | 89.8 | |
| iSQRT-COVBackbone=ResNet-502022.05 | 89.6 | |
| MoNetBackbone=VGG-162022.05 | 89.3 | |
| MPN-COVBackbone=VGG-162022.05 | 89.2 | |
| iSQRT-COVBackbone=VGG-162022.05 | 88.6 | |
| Improved B-CNNBackbone=VGG-162022.05 | 88.5 | |
| LRBPBackbone=VGG-162022.05 | 87.3 | |
| KPBackbone=VGG-162022.05 | 86.9 | |
| B-CNNBackbone=VGG-162022.05 | 86.6 | |
| KPBackbone=ResNet-502022.05 | 85.7 | |
| CBPBackbone=ResNet-502022.05 | 81.6 |