5-shot Image Classification on Caltech-UCSD Birds (CUB) (test)
80.94Accuracyamortized Bayesian prototype meta-learning
Evaluation results
| Method | Links | |
|---|---|---|
| amortized Bayesian prototype meta-learning2022.03 | 80.94 | |
| HyperShotfinetuning=true2022.03 | 80.07 | |
| HyperShotfinetuning=false2022.03 | 79.8 | |
| OVE PG GP + Cosine (PL)Similarity=Cosine, Protocol=PL2022.03 | 79.07 | |
| GPLDLA2022.03 | 78.86 | |
| Baseline++2022.03 | 78.51 | |
| RelationNet2022.03 | 78.22 | |
| DKT + BNCosSimSimilarity=BNCosSim2022.03 | 77.76 | |
| DKT + CosSimSimilarity=Cosine2022.03 | 77.73 | |
| OVE PG GP + Cosine (ML)Similarity=Cosine, Protocol=ML2022.03 | 77.44 | |
| ProtoNet2022.03 | 75.93 | |
| MatchingNet2022.03 | 75.11 | |
| MAML2022.03 | 74.84 | |
| ABML2022.03 | 68.94 | |
| Feature Transfer2022.03 | 68.4 |