Image Classification On Imbalanced Cub 200
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 |
|---|---|
| ufpr-periocular-a-periocular-dataset | 99.67 |
| rethinking-softmax-with-cross-entropy-neural | 89.73 |
各个模型在此基准测试上的表现结果
| 模型名称 | Accuracy |
|---|---|
| ufpr-periocular-a-periocular-dataset | 99.67 |
| rethinking-softmax-with-cross-entropy-neural | 89.73 |