Anomaly Detection On Hyper Kvasir Dataset
评估指标
AUC
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 | AUC |
|---|---|
| unsupervised-anomaly-detection-and | 0.939 |
| constrained-contrastive-distribution-learning | 0.972 |
| f-anogan-fast-unsupervised-anomaly-detection | 0.907 |
| ocgan-one-class-novelty-detection-using-gans | 0.813 |
| padim-a-patch-distribution-modeling-framework | 0.923 |
| panda-adapting-pretrained-features-for | 0.937 |