PEDENet: Image anomaly localization via patch embedding and density estimation

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Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

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Patch SVDD: Patch-Level SVDD for Anomaly Detection and Segmentation

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Anomaly detection and classification in a laser powder bed additive manufacturing process using a trained computer vision algorithm

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Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows

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Sub-Image Anomaly Detection with Deep Pyramid Correspondences

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AnomalyNet: An Anomaly Detection Network for Video Surveillance

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Video anomaly detection based on local statistical aggregates

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Towards Visually Explaining Variational Autoencoders

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Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection

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Attention Guided Anomaly Localization in Images

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Attribute Restoration Framework for Anomaly Detection

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Explainable Deep One-Class Classification

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Gaussian Anomaly Detection by Modeling the Distribution of Normal Data in Pretrained Deep Features

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Superpixel Masking and Inpainting for Self-Supervised Anomaly Detection

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Attribute Restoration Framework for Anomaly DetectionPreprint

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Puzzle-AE: Novelty Detection in Images through Solving PuzzlesPreprint

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AnomalyHop: An SSL-based Image Anomaly Localization Method

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Texture Analysis Via Hierarchical Spatial-Spectral Correlation (HSSC)

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A Data-centric Approach to Unsupervised Texture Segmentation Using Principle Representative Patterns

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Dynamic Texture Synthesis By Incorporating Long-range Spatial and Temporal Correlations

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Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal CorrelationsPreprint

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Deep Industrial Image Anomaly Detection: A Survey

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Performance Comparison of Three Types of Autoencoder Neural Networks

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A Comparative Evaluation of AutoEncoder-Based Unsupervised Anomaly Detection Methods Applied on Space Payload

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The Learning Effect of Different Hidden Layers Stacked Autoencoder

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Improved autoencoder for unsupervised anomaly detection

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VELC: A New Variational AutoEncoder Based Model for Time Series Anomaly DetectionPreprint

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