Anomaly Detection On Mnist
评估指标
ROC 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 | ROC AUC |
|---|---|
| unsupervised-anomaly-detection-and | 99.27 |
| unsupervised-anomaly-detection-and | 98.69 |
| latent-insensitive-autoencoders-for-anomaly | 97.68 |
| dasvdd-deep-autoencoding-support-vector-data | 97.7 |
| gan-based-anomaly-detection-in-imbalance | 99.7 |
| p-kdgan-progressive-knowledge-distillation | 97.25 |