Image Classification on CIFAR100 LT-10
64.88Accuracy (Clean)LA
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| LABackbone=WRN22-102025.01 | 64.88 | 42.04 | 70.71 | 11.41 | |
| HEMBackbone=WRN22-102025.01 | 64.3 | 42.77 | 80.16 | 14.25 | |
| HEM-Backbone=WRN22-102025.01 | 63.59 | 42.24 | 73.27 | 13.74 | |
| DICEBackbone=WRN22-102025.01 | 63.48 | 40.42 | 63.26 | 12.76 | |
| CEBackbone=WRN22-102025.01 | 63.18 | 40.8 | 66.04 | 11.81 | |
| LNBackbone=WRN22-102025.01 | 62.45 | 41.13 | 71.12 | 13.58 | |
| MMBackbone=WRN22-102025.01 | 62.04 | 39.04 | 73.3 | 12.73 | |
| LABackbone=ResNet182025.01 | 60.47 | 40.21 | 67.04 | 12.16 | |
| MMBackbone=ResNet182025.01 | 60.32 | 39.86 | 70.48 | 17.48 | |
| LNBackbone=ResNet182025.01 | 59.78 | 39.62 | 64.95 | 16.34 | |
| CEBackbone=ResNet182025.01 | 59.09 | 39 | 64.4 | 12.76 | |
| LABackbone=ResNet322025.01 | 58.9 | 38.88 | 61.74 | 11.88 | |
| HEMBackbone=ResNet182025.01 | 58.16 | 38.84 | 64.01 | 19.48 | |
| LNBackbone=ResNet322025.01 | 57.44 | 37.02 | 65.26 | 9.48 | |
| HEM-Backbone=ResNet182025.01 | 57.32 | 38.85 | 64.25 | 19.99 | |
| CEBackbone=ResNet322025.01 | 57.19 | 37.37 | 59.55 | 12.09 | |
| HEMBackbone=ResNet322025.01 | 57.01 | 38.51 | 64.7 | 15.09 | |
| HEM-Backbone=ResNet322025.01 | 56.23 | 38.27 | 67.57 | 14.36 | |
| DICEBackbone=ResNet182025.01 | 52.99 | 34.59 | 62.79 | 15.69 | |
| MMBackbone=ResNet322025.01 | 51.81 | 32.56 | 61.66 | 11.56 | |
| DICEBackbone=ResNet322025.01 | 49.17 | 31.49 | 53.99 | 14.44 |