industrial defect detection

AnomalyMoE: Towards a Language-free Generalist Model for Unified Visual Anomaly Detection AAAI 2026 RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection AAAI 2026 Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects AAAI 2026 Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection AAAI 2025 Omni-Dimensional State Space Model-driven SAM for Pixel-level Anomaly Detection IJCAI 2025 Single-Layer Distillation with Fourier Convolutions for Texture Anomaly Detection WACV 2025 Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts ICCV 2025 Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline AAAI 2025 Contextual Affinity Distillation for Image Anomaly Detection WACV 2024 Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping 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 Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation CVPR 2024 Asymmetric Student-Teacher Networks for Industrial Anomaly Detection WACV 2023 Multimodal Industrial Anomaly Detection via Hybrid Fusion CVPR 2023 OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization CVPR 2023 Prototypical Residual Networks for Anomaly Detection and Localization CVPR 2023 Real3D-AD: A Dataset of Point Cloud Anomaly Detection NeurIPS 2023 ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction NeurIPS 2023 Revisiting Reverse Distillation for Anomaly Detection CVPR 2023 Towards Total Recall in Industrial Anomaly Detection CVPR 2022