Unsupervised Few Shot Image Classification On 2
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy |
|---|---|
| beclr-batch-enhanced-contrastive-few-shot | 81.69 |
| self-supervision-can-be-a-good-few-shot | 69.60 |
| unsupervised-few-shot-image-classification-by | 53.16 |
| shot-in-the-dark-few-shot-learning-with-no-1 | 68.0 |
| revisiting-unsupervised-meta-learning | 58.42 |
| unsupervised-few-shot-learning-via | 41.77 |
| self-attention-message-passing-for | 49.10 |
| rethinking-clustering-based-pseudo-labeling | 49.51 |
| rethinking-class-relations-absolute-relative | 43.68 |
| few-shot-learning-with-part-discovery-and | 69.01 |
| multi-level-second-order-few-shot-learning | 43.01 |
| contrastive-prototypical-network-with | 45.00 |