Anomaly Detection on Industrial and Medical Datasets Average
92.5I-AUROCCoPS
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| CoPSPrompting Category=Prompt Learning, Backbone=CLIP (ViT-L/14@336px), Resolution=518 x 518, Setting=Zero-Shot Anomaly Detection2025.08 | 92.5 | 94.1 | |
| FAPromptPrompting Category=Prompt Learning, Backbone=CLIP (ViT-L/14@336px), Resolution=518 x 518, Setting=Zero-Shot Anomaly Detection2025.08 | 91.1 | 92.4 | |
| AdaCLIPPrompting Category=Prompt Design, Backbone=CLIP (ViT-L/14@336px), Resolution=518 x 518, Setting=Zero-Shot Anomaly Detection2025.08 | 90 | 91.7 | |
| AnomalyCLIPPrompting Category=Prompt Learning, Backbone=CLIP (ViT-L/14@336px), Resolution=518 x 518, Setting=Zero-Shot Anomaly Detection2025.08 | 90 | 91.3 | |
| CLIP-ADPrompting Category=Prompt Design, Backbone=CLIP (ViT-L/14@336px), Resolution=518 x 518, Setting=Zero-Shot Anomaly Detection2025.08 | 87.6 | 88.9 | |
| APRIL-GANPrompting Category=Prompt Design, Backbone=CLIP (ViT-L/14@336px), Resolution=518 x 518, Setting=Zero-Shot Anomaly Detection2025.08 | 83.9 | 86.3 | |
| WinCLIPPrompting Category=Prompt Design, Backbone=CLIP (ViT-L/14@336px), Resolution=518 x 518, Setting=Zero-Shot Anomaly Detection2025.08 | 83.2 | 84.8 |