Few Shot Image Classification On Dirichlet 1
评估指标
1:1 Accuracy
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | 1:1 Accuracy |
|---|---|
| instance-credibility-inference-for-few-shot | 73.5 |
| realistic-evaluation-of-transductive-few-shot-1 | 82.5 |
| prototype-rectification-for-few-shot-learning | 80.2 |
| model-agnostic-meta-learning-for-fast | 64.5 |
| meta-learning-probabilistic-inference-for | 61.9 |
| simpleshot-revisiting-nearest-neighbor | 80.1 |
| a-baseline-for-few-shot-image-classification | 74.8 |
| prototypical-networks-for-few-shot-learning | 74.2 |
| adaptive-dimension-reduction-and-variational | 83.6 |
| a-closer-look-at-few-shot-classification-1 | 79.7 |
| leveraging-the-feature-distribution-in | 67.1 |
| laplacian-regularized-few-shot-learning-1 | 81.6 |