Table 6 Classification accuracy of tiered-ImageNet dataset for different classification tasks.
Model | Backbone network | 5-way 1-shot | 5-way 5-shot |
|---|---|---|---|
Relation net | Conv | 54.31 | 71.22 |
MAML | Conv | 51.83 | 70.83 |
Proto net | Conv | 53.48 | 72.64 |
TPN | Conv | 59.61 | 72.58 |
EGNN | Conv | – | 80.15 |
CA-EGNN | CA-PFE | 61.11 | 80.61 |