zero-shot anomaly detection

ADSeeker: A Knowledge-Grounded Reasoning Framework for Industry Anomaly Detection and Reasoning CVPR 2026 Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation AAAI 2026 AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors CVPR 2026 AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer AAAI 2026 DLVP-CLIP: Enhancing Fine-Grained Zero-Shot Anomaly Detection via Dynamic Local Visual Prompting CVPR 2026 Exploring High-order-aware Prompt Learning for Zero-shot Anomaly Detection AAAI 2026 From Attraction to Equilibrium: Physics-Inspired Semantic Gravitons for Zero-Shot Anomaly Detection CVPR 2026 PromptMoE: Generalizable Zero-Shot Anomaly Detection via Visually-Guided Prompt Mixtures AAAI 2026 Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models MIDL 2026 VisualAD: Language-Free Zero-Shot Anomaly Detection via Vision Transformer CVPR 2026 AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP CVPR 2025 AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios CVPR 2025 Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection CVPR 2025 DZAD: Diffusion-based Zero-shot Anomaly Detection AAAI 2025 FE-CLIP: Frequency Enhanced CLIP Model for Zero-Shot Anomaly Detection and Segmentation ICCV 2025 Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection ICCV 2025 Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models CVPR 2025 AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection ICLR 2024 PromptAD: Zero-Shot Anomaly Detection Using Text Prompts WACV 2024 Zero-Shot Anomaly Detection via Batch Normalization NeurIPS 2023