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Learning With Coarse Labels On Imagenet32
Metrics
Recall@1
Recall@10
Recall@2
Recall@5
Results
Performance results of various models on this benchmark
| Paper Title | Repository | |||||
|---|---|---|---|---|---|---|
| MaskCon | 19.08 | 47.96 | 26.21 | 38.17 | MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset | |
| Grafit | 18.13 | 46.64 | 25.46 | 37.19 | Grafit: Learning fine-grained image representations with coarse labels | - |
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