Failure Prediction on CIFAR10-LT IF=10 (test)
93.91AccuracySURE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SUREBackbone=WRNet282024.03 | 93.91 | 9.4 | |
| SUREBackbone=ResNet182024.03 | 92.65 | 14.68 | |
| RegMixupBackbone=WRNet282024.03 | 92.44 | 14.66 | |
| SWABackbone=WRNet282024.03 | 92.17 | 12.7 | |
| FMFPBackbone=WRNet282024.03 | 92.04 | 11.35 | |
| SUREBackbone=DenseNetBC2024.03 | 91.76 | 13.72 | |
| RegMixupBackbone=DenseNetBC2024.03 | 91.73 | 17.07 | |
| RegMixupBackbone=ResNet182024.03 | 91.28 | 17.74 | |
| SAMBackbone=WRNet282024.03 | 90.86 | 21.11 | |
| SWABackbone=DenseNetBC2024.03 | 90.76 | 16.77 | |
| FMFPBackbone=DenseNetBC2024.03 | 90.72 | 15.8 | |
| SUREBackbone=VGG16-BN2024.03 | 90.47 | 19.51 | |
| FMFPBackbone=ResNet182024.03 | 90.46 | 18.55 | |
| SWABackbone=ResNet182024.03 | 90.37 | 20.88 | |
| CRLBackbone=WRNet282024.03 | 89.57 | 37.63 | |
| RegMixupBackbone=VGG16-BN2024.03 | 89.53 | 26.75 | |
| MSPBackbone=WRNet282024.03 | 89.44 | 37.28 | |
| SWABackbone=VGG16-BN2024.03 | 89.23 | 25.02 | |
| FMFPBackbone=VGG16-BN2024.03 | 89.23 | 21.55 | |
| SAMBackbone=DenseNetBC2024.03 | 88.79 | 27.02 | |
| SAMBackbone=ResNet182024.03 | 88.56 | 27.44 | |
| MSPBackbone=ResNet182024.03 | 88.49 | 40.96 | |
| SAMBackbone=VGG16-BN2024.03 | 88.24 | 40.77 | |
| CRLBackbone=ResNet182024.03 | 88.21 | 38.78 | |
| CRLBackbone=DenseNetBC2024.03 | 88.11 | 38.65 | |
| MSPBackbone=DenseNetBC2024.03 | 87.75 | 37.94 | |
| MSPBackbone=VGG16-BN2024.03 | 86.65 | 84.26 | |
| CRLBackbone=VGG16-BN2024.03 | 86.45 | 87.05 |