Learning With Coarse Labels On Imagenet32
평가 지표
Recall@1
Recall@10
Recall@2
Recall@5
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Recall@1 | Recall@10 | Recall@2 | Recall@5 | Paper Title | Repository |
|---|---|---|---|---|---|---|
| Grafit | 18.13 | 46.64 | 25.46 | 37.19 | Grafit: Learning fine-grained image representations with coarse labels | - |
| MaskCon | 19.08 | 47.96 | 26.21 | 38.17 | MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset |
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