Image Models# CFA Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization C-Flow Real-Time Unsupervised Anomaly Detection via Conditional Normalizing Flows CS-Flow Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection DFKDE Deep Feature Kernel Density Estimation DFM Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection DRAEM DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection DSR DSR – A Dual Subspace Re-Projection Network for Surface Anomaly Detection Efficient AD EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies FastFlow FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows GANomaly GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training PaDiM PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization Patchcore Towards Total Recall in Industrial Anomaly Detection Reverse Distillation Anomaly Detection via Reverse Distillation from One-Class Embedding. R-KDE Region-Based Kernel Density Estimation (RKDE) STFPM Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection U-Flow U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold WinCLIP WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
