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Artificial Intelligence in Maritime Cybersecurity: A Systematic Review of AI-Driven Threat Detection and Risk Mitigation Strategies

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Enhanced Multi-Scale Features Mutual Mapping Fusion Based on Reverse Knowledge Distillation for Industrial Anomaly Detection and Localization

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Editorial Deep Learning for Anomaly Detection

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ECF-STPM: A Robust Crack Detection Method for Railway Catenary Components

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Low-Light and Infrared Multimodal Remote Sensing in Nighttime Rescue Mission: A Review of Anomaly Detection Methods

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Learning Multiresolution Features for Unsupervised Anomaly Localization on Industrial Textured Surfaces

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Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays

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GLAD: A Global-to-Local Anomaly Detector

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Unsupervised Anomaly Detection for Volcanic Deformation in InSAR Imagery

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A Self-Supervised Equivariant Refinement Classification Network for Diabetic Retinopathy Classification

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Multi-Modal Learning Using Physicians Diagnostics for Optical Coherence Tomography Classification

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Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining

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Autoencoders Without Reconstruction for Textural Anomaly Detection

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Unsupervised pavement anomaly detection via conditional diffusion model and domain adaptive feature selection

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AugPaste: One-Shot Anomaly Detection for Medical Images

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DeFRCN-MAM: DeFRCN and multi-scale attention mechanism-based industrial defect detection method

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A Robust Prioritized Anomaly Detection when Not All Anomalies are of Primary Interest

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Triple-Sigmoid Activation Function for Deep Open-Set Recognition

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A novel cross-layer dual encoding-shared decoding network framework with spatial self-attention mechanism for hippocampus segmentation

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AugPaste: A one-shot approach for diabetic retinopathy detection

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Unsupervised Brain MRI Anomaly Detection via Inter-Realization Channels

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Lesion2void: Unsupervised Anomaly Detection in Fundus Images

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Identifying effective trajectory predictions under the guidance of trajectory anomaly detection model

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Two-Stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection

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ZUMA: Training-Free Zero-Shot Unified Multimodal Anomaly Detection

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A feature-aware attention selection network for anomaly detection on printed circuit boards

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Enhancing industrial anomaly detection with Mamba-inspired feature fusion

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YCFA-Net: A unified framework for vehicle detection and fire anomaly recognition in tunnel scenarios

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Weakly-Supervised Automatic Biomarkers Detection And Classification Of Retinal Optical Coherence Tomography Images

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Revolutionizing Egg Quality Control: Advanced Prompt-based Models for Automated Detection of Broken Eggs Without the Need for Training

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ED-AnoNet: Elastic Distortion-Based Unsupervised Network for OCT Image Anomaly Detection

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Unsupervised, Online and On-The-Fly Anomaly Detection for Non-stationary Image Distributions

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Anomaly image detection method based on one-step denoising diffusion model with high- and low-frequency information enhanced

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Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network

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Dual-Path Reconstruction Guided Segmentation Network for Unsupervised Anomaly Detection and Localization

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Memorizing Structure-Texture Correspondence for Image Anomaly Detection

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Normative Prior Network for Anomaly Segmentation in Retinal OCT Images

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ED-AnoNet: Elastic Distortion-Based Unsupervised Network for OCT Image Anomaly Detection

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Anomaly detection via gating highway connection for retinal fundus images

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A review on texture-based methods for anomaly detection in retinal optical coherence tomography images

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