Few-shot classification on miniImageNet to Cars (test)
0.37051-shot AccuracyMetaQDA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MetaQDABackbone=ResNet-182021.01 | 0.3705 | 0.5158 | |
| MetaQDABackbone=WRN2021.01 | 0.3621 | 0.5083 | |
| SIMPLESHOT†Backbone=ResNet-182021.01 | 0.3472 | 0.4726 | |
| SIMPLESHOT†Backbone=WRN2021.01 | 0.3368 | 0.4667 | |
| LRP (GNN)Backbone=ResNet-102021.01 | 0.3278 | 0.462 | |
| LRP (CAN)Backbone=ResNet-122021.01 | 0.3266 | 0.4386 | |
| S2M2Backbone=WRN2021.01 | 0.3152 | 0.4748 | |
| MetaQDABackbone=Conv-42021.01 | 0.3098 | 0.4285 | |
| LFWTBackbone=ResNet-102021.01 | 0.3077 | 0.449 | |
| SIMPLESHOT†Backbone=Conv-42021.01 | 0.2952 | 0.3952 |