DLVP-CLIP: Enhancing Fine-Grained Zero-Shot Anomaly Detection via Dynamic Local Visual Prompting

Benchmark Model Rank Results
zero-shot-anomaly-detection-on-br35h-zero-shot-cross-domainDLVP-CLIP–Detection AUROC: 98.1
zero-shot-anomaly-detection-on-brainmri-zero-shot-cross-domainDLVP-CLIP–Detection AUROC: 96.2
zero-shot-anomaly-detection-on-btad-zero-shot-cross-domainDLVP-CLIP–Detection AUROC: 92.6Segmentation AUROC: 93.4
zero-shot-anomaly-detection-on-dagm-zero-shot-cross-domainDLVP-CLIP–Detection AUROC: 99.3Segmentation AUROC: 96.8
zero-shot-anomaly-detection-on-dtd-synthetic-zero-shot-cross-domainDLVP-CLIP–Detection AUROC: 96.8Segmentation AUROC: 98.9
zero-shot-anomaly-detection-on-headct-zero-shot-cross-domainDLVP-CLIP–Detection AUROC: 95.0
zero-shot-anomaly-detection-on-mvtec-ad-zero-shot-cross-domainDLVP-CLIP–Detection AUROC: 94.2Segmentation AUROC: 90.4
zero-shot-anomaly-detection-on-visa-zero-shot-cross-domainDLVP-CLIP–Detection AUROC: 87.9Segmentation AUROC: 95.7