| Paper | Code | Segmentation AUROC | Segmentation AUPRO@30% FPR | ModelName | ReleaseDate |
|---|---|---|---|---|---|
| AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP | ✓ Link | 89.9 | AA-CLIP | 2025-03-09 | |
| Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection | ✓ Link | 89.6 | 78.4 | Bayes-PFL (ViT-L/14@336, 518px, cross-domain zero-shot) | 2025-03-13 |
| From Attraction to Equilibrium: Physics-Inspired Semantic Gravitons for Zero-Shot Anomaly Detection | 88.5 | SGNet | 2026-06-03 | ||
| Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections | ✓ Link | 88.3 | 74.5 | Crane+ (CLIP ViT-L/14@336 + DINOv2-B14, zero-shot) | 2025-04-15 |
| TIPS Over Tricks: Simple Prompts for Effective Zero-shot Anomaly Detection | ✓ Link | 87.9 | 77.4 | Tipsomaly (TIPS-L/14 HR, Zero-shot) | 2026-02-03 |
| VisualAD: Language-Free Zero-Shot Anomaly Detection via Vision Transformer | ✓ Link | 85.9 | VisualAD DINOv2 (zero-shot) | 2026-03-09 |