| GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection | Nov 5, 2023 | Anomaly DetectionQuestion Answering | CodeCode Available | 1 |
| CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection | Nov 1, 2023 | Anomaly DetectionLanguage Modeling | —Unverified | 0 |
| AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection | Oct 29, 2023 | Anomaly DetectionPrompt Learning | CodeCode Available | 2 |
| Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data | Oct 16, 2023 | Anomaly DetectionModel Selection | —Unverified | 0 |
| Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization | Aug 30, 2023 | Anomaly DetectionAnomaly Localization | CodeCode Available | 1 |
| Random Word Data Augmentation with CLIP for Zero-Shot Anomaly Detection | Aug 22, 2023 | Anomaly DetectionData Augmentation | —Unverified | 0 |
| Zero-Shot Anomaly Detection with Pre-trained Segmentation Models | Jun 15, 2023 | Anomaly DetectionInstance Segmentation | —Unverified | 0 |
| WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation | Mar 26, 2023 | Anomaly ClassificationAnomaly Detection | CodeCode Available | 2 |
| Zero-Shot Anomaly Detection via Batch Normalization | Feb 15, 2023 | Anomaly DetectionUnsupervised Anomaly Detection | CodeCode Available | 1 |
| MAEDAY: MAE for few and zero shot AnomalY-Detection | Nov 25, 2022 | Anomaly DetectionImage Inpainting | CodeCode Available | 1 |
