Selective Classification on ImageNet-1K (test)
8.33Metric AΔ-MDS-RLog
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Δ-MDS-RLogBackbone=ResNet-50, Training Dataset=ImageNet-1K, Pre-training Source=Official PyTorch Repository2025.05 | 8.33 | 0.189 | |
| Δ-KNN-RLogBackbone=ResNet-50, Training Dataset=ImageNet-1K, Pre-training Source=Official PyTorch Repository2025.05 | 8.48 | 0.195 | |
| RLogBackbone=ResNet-50, Training Dataset=ImageNet-1K, Pre-training Source=Official PyTorch Repository2025.05 | 8.61 | 0.201 | |
| MSPBackbone=ResNet-50, Training Dataset=ImageNet-1K, Pre-training Source=Official PyTorch Repository2025.05 | 9.67 | 0.248 | |
| MaxLogitBackbone=ResNet-50, Training Dataset=ImageNet-1K, Pre-training Source=Official PyTorch Repository2025.05 | 12.7 | 0.379 | |
| Δ-MDSBackbone=ResNet-50, Training Dataset=ImageNet-1K, Pre-training Source=Official PyTorch Repository2025.05 | 13 | 0.392 | |
| Δ-KNNBackbone=ResNet-50, Training Dataset=ImageNet-1K, Pre-training Source=Official PyTorch Repository2025.05 | 15.3 | 0.493 | |
| EnergyBackbone=ResNet-50, Training Dataset=ImageNet-1K, Pre-training Source=Official PyTorch Repository2025.05 | 16.3 | 0.539 | |
| SIRCBackbone=ResNet-50, Training Dataset=ImageNet-1K, Pre-training Source=Official PyTorch Repository2025.05 | 18.9 | 0.648 | |
| MDSBackbone=ResNet-50, Training Dataset=ImageNet-1K, Pre-training Source=Official PyTorch Repository2025.05 | 21.2 | 0.752 | |
| KNNBackbone=ResNet-50, Training Dataset=ImageNet-1K, Pre-training Source=Official PyTorch Repository2025.05 | 28.8 | 1.08 |