Selective Classification on Tiny-ImageNet (test)
76.64AUCOCCE+AUCOCL
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| CE+AUCOCLLoss function=CE+AUCOCLoss, Backbone=WideResnet-28-102023.08 | 76.64 | 51.4 | 29.97 | 47.65 | |
| FL+AUCOCLLoss function=FL+AUCOCLoss, Backbone=WideResnet-28-102023.08 | 75.86 | 50.84 | 32 | 50.12 | |
| CE+S-ECELoss function=CE+S-ECE, Backbone=WideResnet-28-102023.08 | 75.62 | 49.91 | 31.88 | 49.55 | |
| AdaFL53Loss function=AdaFL53, Backbone=WideResnet-28-102023.08 | 75.36 | 49.49 | 33.77 | 50.76 | |
| FL (γ=3)Loss function=Focal Loss, Backbone=WideResnet-28-102023.08 | 75.05 | 49.56 | 34.17 | 51.72 | |
| FL+MMCELoss function=FL+MMCE, Backbone=WideResnet-28-102023.08 | 74.79 | 49.32 | 34.57 | 52.12 | |
| FL+S-ECELoss function=FL+S-ECE, Backbone=WideResnet-28-102023.08 | 74.57 | 49.16 | 35.6 | 52.36 | |
| FL+ S-AvUCLoss function=FL+ S-AvUC, Backbone=WideResnet-28-102023.08 | 74.21 | 49.02 | 35.22 | 53.12 | |
| CE+S-AvUCLoss function=CE+S-AvUC, Backbone=WideResnet-28-102023.08 | 74.14 | 49.13 | 35 | 53.17 | |
| CE+MMCELoss function=CE+MMCE, Backbone=WideResnet-28-102023.08 | 74.12 | 48.56 | 35.83 | 52.48 | |
| CELoss function=Cross-Entropy, Backbone=WideResnet-28-102023.08 | 74.03 | 49.29 | 34.74 | 52.28 |