AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection

Benchmark Model Rank Results
zero-shot-anomaly-detection-on-dagm-zero-shot-cross-domainAdaCLIP (zero-shot)#3Detection AUROC: 99.1Segmentation AUROC: 91.5
zero-shot-anomaly-detection-on-dtd-synthetic-zero-shot-cross-domainAdaCLIP (zero-shot)#3Detection AUROC: 95.5Segmentation AUROC: 97.9
zero-shot-anomaly-detection-on-visa-zero-shot-cross-domainAdaCLIP (zero-shot) (extra data)#3Detection AUROC: 85.8
zero-shot-anomaly-detection-on-mpdd-zero-shot-cross-domainAdaCLIP (zero-shot) (extra data)#5Detection F1-max: 82.5Segmentation F1-max: 34.9
zero-shot-anomaly-detection-on-btad-zero-shot-cross-domainAdaCLIP (zero-shot) (extra data)#8Detection AUROC: 88.6Segmentation AUROC: 92.1Detection F1-max: 88.2…
anomaly-detection-on-mpddAdaCLIP#9Detection AUROC: 82.5Segmentation AUROC: 96.1
zero-shot-anomaly-detection-on-mvtec-ad-zero-shot-cross-domainAdaCLIP (AnomalyCLIP protocol, zero-shot) (extra data)#11Detection AUROC: 89.6Segmentation AUROC: 90.3
anomaly-detection-on-visaAdaCLIP#32Detection AUROC: 85.8Segmentation AUROC: 95.5
anomaly-detection-on-mvtec-adAdaCLIP#98Detection AUROC: 89.2Segmentation AUROC: 88.7