Image Classification on CIFAR-FS 5-shot
90.73AccuracyLST+MAP
Evaluation results
| Method | Links | |
|---|---|---|
| LST+MAPBackbone=WRN, Shots=52021.02 | 90.73 | |
| PT+MAPBackbone=WRN, Shots=52021.02 | 90.68 | |
| PSSTBackbone=WRN-28-102021.04 | 88.45 | |
| BF3SBackbone=WRN-28-102021.04 | 87.83 | |
| LST+GMMBackbone=WRN, Shots=52021.02 | 87.33 | |
| PT+GMMBackbone=WRN, Shots=52021.02 | 87.16 | |
| PT+KNNBackbone=WRN, Shots=52021.02 | 86.7 | |
| LST+KNNBackbone=WRN, Shots=52021.02 | 86.56 | |
| Shot-FreeBackbone=ResNet-122021.04 | 84.7 | |
| MetaOptNetBackbone=ResNet-122021.04 | 84.2 | |
| PSSTBackbone=Conv-4-642021.04 | 80.42 | |
| BF3SBackbone=Conv-4-642021.04 | 79.79 | |
| Prototypical NetsBackbone=Conv-4-642021.04 | 79.59 | |
| R2-D2Backbone=Conv-4-642021.04 | 76.1 | |
| GNNBackbone=Conv-4-642021.04 | 75.3 | |
| MAMLBackbone=Conv-4-642021.04 | 71.5 | |
| RelationNetBackbone=Conv-4-642021.04 | 69.3 |