Semi-supervised 5-way classification on tieredImageNet w/D (test)
84AccuracyMCT (Instance)
Evaluation results
| Method | Links | |
|---|---|---|
| MCT (Instance)Backbone=ResNet-12, Shots=5-shot, Distractors=3 distracting classes2020.02 | 84 | |
| LSTBackbone=ResNet-12, Shots=5-shot, Distractors=3 distracting classes2020.02 | 83.4 | |
| TPNBackbone=ResNet-12, Shots=5-shot, Distractors=3 distracting classes2020.02 | 82.7 | |
| Masked Soft k-MeansBackbone=ResNet-12, Shots=5-shot, Distractors=3 distracting classes2020.02 | 80.2 | |
| MCT (Instance)Backbone=ResNet-12, Shots=1-shot, Distractors=3 distracting classes2020.02 | 74.5 | |
| LSTBackbone=ResNet-12, Shots=1-shot, Distractors=3 distracting classes2020.02 | 73.5 | |
| TPNBackbone=ResNet-12, Shots=1-shot, Distractors=3 distracting classes2020.02 | 71.5 | |
| Masked Soft k-MeansBackbone=ResNet-12, Shots=1-shot, Distractors=3 distracting classes2020.02 | 66.9 |