5-way Few-Shot Image Classification on tiered-ImageNet 608 classes (test)
85.69AccuracySimpleShot(UN)
Evaluation Results
| Method | Links | |
|---|---|---|
| SimpleShot(UN)number of shots=5-shot2020.11 | 85.69 | |
| LEOnumber of shots=5-shot2020.11 | 81.44 | |
| MTUNetbackbone=WRN, number of shots=5-shot2020.11 | 80.05 | |
| Meta SGDnumber of shots=5-shot2020.11 | 79.34 | |
| MTUNetbackbone=ResNet-18, number of shots=5-shot2020.11 | 77.82 | |
| ProtoNetnumber of shots=5-shot2020.11 | 72.69 | |
| RelationNetnumber of shots=5-shot2020.11 | 71.32 | |
| MAMLnumber of shots=5-shot2020.11 | 70.3 | |
| Reptilenumber of shots=5-shot2020.11 | 66.47 | |
| LEOnumber of shots=1-shot2020.11 | 66.33 | |
| SimpleShot(UN)number of shots=1-shot2020.11 | 64.35 | |
| Meta SGDnumber of shots=1-shot2020.11 | 62.95 | |
| MTUNetbackbone=WRN, number of shots=1-shot2020.11 | 62.42 | |
| MTUNetbackbone=ResNet-18, number of shots=1-shot2020.11 | 61.27 | |
| RelationNetnumber of shots=1-shot2020.11 | 54.48 | |
| ProtoNetnumber of shots=1-shot2020.11 | 53.31 | |
| MAMLnumber of shots=1-shot2020.11 | 51.67 | |
| Reptilenumber of shots=1-shot2020.11 | 48.97 |