Image Classification on ImageNet (val) (Accuracy, Training Time)
78.62Validation AccuracyLABO
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LABOBackbone=ResNet1522023.05 | 78.62 | 1.1 | |
| Beta-LSBackbone=ResNet1522023.05 | 78.56 | 1.6 | |
| KR-LSBackbone=ResNet1522023.05 | 78.48 | 1.3 | |
| LSBackbone=ResNet1522023.05 | 78.33 | 1 | |
| TF-regBackbone=ResNet1522023.05 | 78.12 | 1.1 | |
| BaseBackbone=ResNet1522023.05 | 77.92 | 1 | |
| LABOBackbone=ResNet502023.05 | 76.55 | 1.1 | |
| KR-LSBackbone=ResNet502023.05 | 76.32 | 1.3 | |
| TF-regBackbone=ResNet502023.05 | 76.21 | 1.1 | |
| LSBackbone=ResNet502023.05 | 76.17 | 1 | |
| Beta-LSBackbone=ResNet502023.05 | 76.13 | 1.5 | |
| BaseBackbone=ResNet502023.05 | 75.81 | 1 |