Table 3 Classification accuracy of mini-ImageNet dataset under different transduction settings.
Model | Trans. | 5-way 5-shot |
|---|---|---|
Matching networks | NO | 55.30 |
Reptile | NO | 62.74 |
Prototypical net | NO | 65.77 |
GNN | NO | 66.41 |
EGNN | NO | 66.85 |
CA-EGNN | NO | 68.02 |
MAML | BN | 63.11 |
Reptile | BN | 65.99 |
Relation Net | BN | 67.07 |
MAML | YES | 66.19 |
TPN | YES | 69.43 |
TPN(Higher K) | YES | 69.86 |
EGNN | YES | 76.37 |
CA-EGNN | YES | 77.39 |