Few-shot classification on Cars meta (test)
53.18Accuracysparse-MAML+
Evaluation results
| Method | Links | |
|---|---|---|
| sparse-MAML+Problem=5-shot, Meta-learning dataset=miniImageNet2021.10 | 53.18 | |
| sparse-MAMLProblem=5-shot, Meta-learning dataset=miniImageNet2021.10 | 52.63 | |
| BOILProblem=5-shot, Meta-learning dataset=miniImageNet2021.10 | 50.64 | |
| sparse-ReLU-MAMLProblem=5-shot, Meta-learning dataset=miniImageNet2021.10 | 49.95 | |
| ANILProblem=5-shot, Meta-learning dataset=miniImageNet2021.10 | 46.55 | |
| MAMLProblem=5-shot, Meta-learning dataset=miniImageNet2021.10 | 44.56 | |
| sparse-MAML+Problem=1-shot, Meta-learning dataset=miniImageNet2021.10 | 37.14 | |
| BOILProblem=1-shot, Meta-learning dataset=miniImageNet2021.10 | 36.12 | |
| sparse-ReLU-MAMLProblem=1-shot, Meta-learning dataset=miniImageNet2021.10 | 36.04 | |
| sparse-MAMLProblem=1-shot, Meta-learning dataset=miniImageNet2021.10 | 35.9 | |
| ANILProblem=1-shot, Meta-learning dataset=miniImageNet2021.10 | 34.77 | |
| MAMLProblem=1-shot, Meta-learning dataset=miniImageNet2021.10 | 33.57 |