Image Classification On Red Miniimagenet 60
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Accuracy |
|---|---|
| instance-dependent-noisy-label-learning-via | 47.96 |
| propmix-hard-sample-filtering-and | 52.84 |
| faster-meta-update-strategy-for-noise-robust | 45.1 |
| instance-dependent-noisy-label-learning-via | 53.21 |