Learning With Coarse Labels On Imagenet32
评估指标
Recall@1
Recall@10
Recall@2
Recall@5
评测结果
各个模型在此基准测试上的表现结果
模型名称 | 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 |
0 of 2 row(s) selected.