HyperAI超神经

Unsupervised Anomaly Detection On Anoshift

评估指标

ROC-AUC FAR
ROC-AUC IID
ROC-AUC NEAR
ROC-AUC-ID (In-Distribution setup)

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 FARROC-AUC IIDROC-AUC NEARROC-AUC-ID (In-Distribution setup)
anoshift-a-distribution-shift-benchmark-for49.5776.8671.4368.73
anoshift-a-distribution-shift-benchmark-for34.5392.6787.0088.24
anoshift-a-distribution-shift-benchmark-for27.1686.0975.2681.27
zero-shot-anomaly-detection-via-batch-162---
anoshift-a-distribution-shift-benchmark-for50.4285.6254.2480.89
zero-shot-anomaly-detection-via-batch-162.5---
anoshift-a-distribution-shift-benchmark-for49.3550.4854.5549.90
zero-shot-anomaly-detection-via-batch-162---
anoshift-a-distribution-shift-benchmark-for49.1984.7644.8779.41
anoshift-a-distribution-shift-benchmark-for34.9691.579.2987.61
anoshift-a-distribution-shift-benchmark-for22.4584.8652.2666.99
anoshift-a-distribution-shift-benchmark-for19.968144.0664.08
zero-shot-anomaly-detection-via-batch-159.1---
anoshift-a-distribution-shift-benchmark-for28.1584.5486.0579.62
anoshift-a-distribution-shift-benchmark-for28.1985.7549.0378.53