Few-Shot Learning on mini-ImageNet 5-shot (test)
86.44AccuracynoHub
Evaluation results
| Method | Links | ||
|---|---|---|---|
| noHubBackbone=WideRes28-102023.03 | 86.44 | 5.67 | |
| TCPRBackbone=WideRes28-102023.03 | 86.03 | 6 | |
| noHub-SBackbone=WideRes28-102023.03 | 85.95 | 5.5 | |
| L2Backbone=WideRes28-102023.03 | 85.65 | 4 | |
| EASEBackbone=WideRes28-102023.03 | 85.51 | 3.5 | |
| CL2Backbone=WideRes28-102023.03 | 83.14 | 1.33 | |
| noHub-SBackbone=ResNet182023.03 | 82.61 | 6.5 | |
| noHubBackbone=ResNet182023.03 | 82.58 | 5.5 | |
| TCPRBackbone=ResNet182023.03 | 82.1 | 4 | |
| CL2Backbone=ResNet182023.03 | 81.95 | 2.67 | |
| EASEBackbone=ResNet182023.03 | 81.84 | 3.5 | |
| L2Backbone=ResNet182023.03 | 81.58 | 2.33 | |
| NoneBackbone=WideRes28-102023.03 | 78.77 | 1.5 | |
| ZNBackbone=WideRes28-102023.03 | 74.61 | 4.33 | |
| ReRepBackbone=WideRes28-102023.03 | 73.86 | 1.83 | |
| ZNBackbone=ResNet182023.03 | 71.49 | 4 | |
| ReRepBackbone=ResNet182023.03 | 70.25 | 2.5 | |
| NoneBackbone=ResNet182023.03 | 69.83 | 0.83 |