Learning With Coarse Labels On Cifar100
Metrics
Recall@1
Recall@10
Recall@2
Recall@5
Results
Performance results of various models on this benchmark
| Paper Title | |||||
|---|---|---|---|---|---|
| MaskCon | 65.52 | 89.25 | 74.46 | 83.64 | MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset |
| Grafit | 60.57 | 89.21 | 71.13 | 82.32 | Grafit: Learning fine-grained image representations with coarse labels |
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