Unsupervised Few Shot Image Classification On 3
評価指標
Accuracy
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | Accuracy |
|---|---|
| self-supervision-can-be-a-good-few-shot | 86.51 |
| shot-in-the-dark-few-shot-learning-with-no-1 | 84.3 |
| rethinking-class-relations-absolute-relative | 58.56 |
| rethinking-clustering-based-pseudo-labeling | 64.31 |
| unsupervised-few-shot-learning-via | 56.78 |
| multi-level-second-order-few-shot-learning | 57.53 |
| self-attention-message-passing-for | 65.19 |
| beclr-batch-enhanced-contrastive-few-shot | 87.86 |
| revisiting-unsupervised-meta-learning | 75.85 |
| unsupervised-few-shot-image-classification-by | 66.59 |
| few-shot-learning-with-part-discovery-and | 84.20 |
| contrastive-prototypical-network-with | 62.96 |