Learning With Coarse Labels On Imagenet32
Metrics
Recall@1
Recall@10
Recall@2
Recall@5
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Recall@1 | Recall@10 | Recall@2 | Recall@5 |
|---|---|---|---|---|
| grafit-learning-fine-grained-image | 18.13 | 46.64 | 25.46 | 37.19 |
| maskcon-masked-contrastive-learning-for | 19.08 | 47.96 | 26.21 | 38.17 |