industrial anomaly detection

Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory AAAI 2026 IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection AAAI 2026 MAU-GPT: Enhancing Multi-type Industrial Anomaly Understanding via Anomaly-aware and Generalist Experts Adaptation AAAI 2026 Omni-AD: A Large-scale and Versatile Benchmark for Industrial Anomaly Detection CVPR 2026 3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly Detection AAAI 2025 AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios CVPR 2025 G2SF: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection ICCV 2025 MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection ICLR 2025 Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection CVPR 2025 ReMP-AD: Retrieval-enhanced Multi-modal Prompt Fusion for Few-Shot Industrial Visual Anomaly Detection ICCV 2025 SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning ICCV 2025 Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection CVPR 2025 Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection IJCAI 2025 Triad: Empowering LMM-based Anomaly Detection with Expert-guided Region-of-Interest Tokenizer and Manufacturing Process ICCV 2025 AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models AAAI 2024 Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study WACV 2024 Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection AAAI 2024 Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping CVPR 2024 PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection CVPR 2024 Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection CVPR 2024 ReConPatch: Contrastive Patch Representation Learning for Industrial Anomaly Detection WACV 2024 Rethinking Reverse Distillation for Multi-Modal Anomaly Detection AAAI 2024 FastRecon: Few-shot Industrial Anomaly Detection via Fast Feature Reconstruction ICCV 2023 OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization CVPR 2023