| Paper | Code | Detection AUROC | Detection AP | ModelName | ReleaseDate |
|---|---|---|---|---|---|
| DLVP-CLIP: Enhancing Fine-Grained Zero-Shot Anomaly Detection via Dynamic Local Visual Prompting | 98.1 | DLVP-CLIP | 2026-06-03 | ||
| Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection | ✓ Link | 97.8 | 96.2 | 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 | 97.8 | SGNet | 2026-06-03 | ||
| Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections | ✓ Link | 96.4 | 97.2 | Crane+ (CLIP ViT-L/14@336 + DINOv2-B14, zero-shot) | 2025-04-15 |
| AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors | ✓ Link | 94.4 | AnomalyVFM (RADIOv2.5 ViT-L, synthetic-only zero-shot) | 2026-04-09 | |
| TIPS Over Tricks: Simple Prompts for Effective Zero-shot Anomaly Detection | ✓ Link | 93.2 | 93.6 | Tipsomaly (TIPS-L/14 HR, Zero-shot) | 2026-02-03 |