SOTAVerified

Anomaly Detection

Anomaly Detection is a binary classification identifying unusual or unexpected patterns in a dataset, which deviate significantly from the majority of the data. The goal of anomaly detection is to identify such anomalies, which could represent errors, fraud, or other types of unusual events, and flag them for further investigation.

[Image source]: GAN-based Anomaly Detection in Imbalance Problems

Papers

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Showing 2051–2100 of 4856 papers

TitleStatusHype
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical PerspectiveCode0
Detecting Anomalies in Dynamic Graphs via Memory enhanced Normality—0
Extracting Explanations, Justification, and Uncertainty from Black-Box Deep Neural Networks—0
Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional Normalizing FlowsCode0
Caformer: Rethinking Time Series Analysis from Causal Perspective—0
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offsCode0
Supervised Time Series Classification for Anomaly Detection in Subsea Engineering—0
Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies—0
Study of the Impact of the Big Data Era on Accounting and Auditing—0
Detection of Object Throwing Behavior in Surveillance Videos—0
Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation—0
Simulating Battery-Powered TinyML Systems Optimised using Reinforcement Learning in Image-Based Anomaly Detection—0
Learning Expressive And Generalizable Motion Features For Face Forgery Detection—0
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time SeriesCode0
Signature Isolation Forest—0
Effectiveness Assessment of Recent Large Vision-Language Models—0
MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network—0
Interactive Bayesian Generative Models for Abnormality Detection in Vehicular Networks—0
Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots—0
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural NetworksCode0
Portraying the Need for Temporal Data in Flood Detection via Sentinel-1—0
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation—0
Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series—0
CSE: Surface Anomaly Detection with Contrastively Selected EmbeddingCode0
Towards efficient deep autoencoders for multivariate time series anomaly detection—0
Learn Suspected Anomalies from Event Prompts for Video Anomaly DetectionCode0
AcME-AD: Accelerated Model Explanations for Anomaly Detection—0
The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model—0
Dimensionality reduction techniques to support insider trading detection—0
Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks—0
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection—0
Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling—0
Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model—0
Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization—0
CGGM: A conditional graph generation model with adaptive sparsity for node anomaly detection in IoT networks—0
Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-ValuesCode0
Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and DestroyerCode0
Attention-GAN for Anomaly Detection: A Cutting-Edge Approach to Cybersecurity Threat Management—0
PatchFlow: Leveraging a Flow-Based Model with Patch Features—0
Low-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection—0
Reimagining Anomalies: What If Anomalies Were Normal?—0
FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework—0
Statistical Test on Diffusion Model-based Anomaly Detection by Selective Inference—0
Empirical Density Estimation based on Spline Quasi-Interpolation with applications to Copulas clustering modeling—0
Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUICode0
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs—0
Backdoor Attack against One-Class Sequential Anomaly Detection ModelsCode0
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data—0
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review—0
Trustworthy UAV Cooperative Localization: Information Analysis of Performance and Security—0
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All datasetsMVTec ADVisAMVTec LOCO ADOne-class CIFAR-10CUHK AvenueShanghaiTechFishyscapes L&FUCR Anomaly ArchiveMPDDBTADOne-class CIFAR-100UBnormal

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPR-faster(TensorRT)FPS1,016—Unverified
2CPR-fast(TensorRT)FPS362—Unverified
3CPR(TensorRT)FPS130—Unverified
4GLASSDetection AUROC99.9—Unverified
5UniNetDetection AUROC99.9—Unverified
6HETMMDetection AUROC99.8—Unverified
7INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8—Unverified
8EfficientAD (early stopping)Detection AUROC99.8—Unverified
9DDADDetection AUROC99.8—Unverified
10PBASDetection AUROC99.8—Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8—Unverified
2GLADDetection AUROC99.5—Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15—Unverified
4INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9—Unverified
5DDADDetection AUROC98.9—Unverified
6Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9—Unverified
7DiffusionADDetection AUROC98.8—Unverified
8GLASSDetection AUROC98.8—Unverified
9TransFusionDetection AUROC98.7—Unverified
10HETMMDetection AUROC98.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CSADAvg. Detection AUROC95.3—Unverified
2PSADAvg. Detection AUROC94.9—Unverified