Fine-grained Image Classification on Birds 1.0 (val)
88.2AccuracyMPN-COV + SEB
Evaluation Results
| Method | Links | |
|---|---|---|
| MPN-COV + SEBBackbone=EfficientNet-b52022.05 | 88.2 | |
| MPN-COVBackbone=EfficientNet-b52022.05 | 87.3 | |
| MPN-COV + SEBBackbone=ResNet-1522022.05 | 87.2 | |
| iSQRT-COVBackbone=EfficientNet-b52022.05 | 87.1 | |
| MPN-COV + SEBBackbone=ResNet-1012022.05 | 87 | |
| MoNetBackbone=VGG-162022.05 | 86.4 | |
| KPBackbone=VGG-162022.05 | 86.2 | |
| MPN-COV + SEBBackbone=ResNet-502022.05 | 86.2 | |
| MPN-COVBackbone=ResNet-1522022.05 | 86.1 | |
| iSQRT-COVBackbone=ResNet-1012022.05 | 86 | |
| iSQRT-COVBackbone=ResNet-1522022.05 | 85.9 | |
| Improved B-CNNBackbone=VGG-162022.05 | 85.8 | |
| GPBackbone=VGG-162022.05 | 85.8 | |
| CBP + RUNBackbone=VGG-162022.05 | 85.7 | |
| MPN-COV + SEBBackbone=VGG-162022.05 | 85.7 | |
| MPN-COVBackbone=ResNet-1012022.05 | 85.7 | |
| KPBackbone=ResNet-502022.05 | 84.7 | |
| iSQRT-COVBackbone=ResNet-502022.05 | 84.7 | |
| MPN-COVBackbone=ResNet-502022.05 | 84.3 | |
| LRBPBackbone=VGG-162022.05 | 84.2 | |
| B-CNNBackbone=VGG-162022.05 | 84.1 | |
| MPN-COVBackbone=VGG-162022.05 | 83.4 | |
| iSQRT-COVBackbone=VGG-162022.05 | 83.1 | |
| CBPBackbone=ResNet-502022.05 | 81.6 |