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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 851–900 of 4856 papers

TitleStatusHype
Combining Switching Mechanism with Re-Initialization and Anomaly Detection for Resiliency of Cyber-Physical Systems—0
Vision-Language Models Assisted Unsupervised Video Anomaly Detection—0
Demystifying and Extracting Fault-indicating Information from Logs for Failure DiagnosisCode1
Towards the Discovery of Down Syndrome Brain Biomarkers Using Generative Models—0
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring—0
Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection FrameworkCode2
Towards Unbiased Evaluation of Time-series Anomaly DetectorCode0
Trustworthy Intrusion Detection: Confidence Estimation Using Latent Space—0
Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability—0
Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User AnomaliesCode0
Constraint Guided AutoEncoders for Joint Optimization of Condition Indicator Estimation and Anomaly Detection in Machine Condition Monitoring—0
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities—0
Unsupervised Hybrid framework for ANomaly Detection (HAND) -- applied to Screening MammogramCode0
Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep UnrollingCode0
Fair Anomaly Detection For Imbalanced Groups—0
Multimodal Attention-Enhanced Feature Fusion-based Weekly Supervised Anomaly Violence Detection—0
Enhancing Anomaly Detection via Generating Diversified and Hard-to-distinguish Synthetic Anomalies—0
Deep Graph Anomaly Detection: A Survey and New PerspectivesCode3
Abnormal Event Detection In Videos Using Deep Embedding—0
OML-AD: Online Machine Learning for Anomaly Detection in Time Series DataCode0
Towards Multi-view Graph Anomaly Detection with Similarity-Guided Contrastive Clustering—0
Matrix Profile for Anomaly Detection on Multidimensional Time Series—0
Optimal Classification-based Anomaly Detection with Neural Networks: Theory and PracticeCode0
A Survey of Anomaly Detection in In-Vehicle Networks—0
Ensemble Methods for Sequence Classification with Hidden Markov Models—0
A Continual and Incremental Learning Approach for TinyML On-device Training Using Dataset Distillation and Model Size Adaption—0
Atom dimension adaptation for infinite set dictionary learning—0
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly DetectionCode0
Texture-AD: An Anomaly Detection Dataset and Benchmark for Real Algorithm Development—0
GeMuCo: Generalized Multisensory Correlational Model for Body Schema Learning—0
Memoryless Multimodal Anomaly Detection via Student-Teacher Network and Signed Distance Learning—0
Deep Learning for Video Anomaly Detection: A Review—0
A Novel Representation of Periodic Pattern and Its Application to Untrained Anomaly Detection—0
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced Driver Assistance System—0
Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly Detection—0
Anomaly Detection for Real-World Cyber-Physical Security using Quantum Hybrid Support Vector Machines—0
Lung-DETR: Deformable Detection Transformer for Sparse Lung Nodule Anomaly Detection—0
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures—0
Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study—0
The role of data embedding in quantum autoencoders for improved anomaly detectionCode0
A Dual-Path Framework with Frequency-and-Time Excited Network for Anomalous Sound Detection—0
Unveiling Context-Related Anomalies: Knowledge Graph Empowered Decoupling of Scene and Action for Human-Related Video Anomaly Detection—0
Unsupervised Anomaly Detection and Localization with Generative Adversarial Networks—0
Oddballness: universal anomaly detection with language models—0
SDOoop: Capturing Periodical Patterns and Out-of-phase Anomalies in Streaming Data AnalysisCode0
NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks—0
Activity-Guided Industrial Anomalous Sound Detection against Interferences—0
TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model—0
Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations—0
Interpreting Outliers in Time Series Data through Decoding Autoencoder—0
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Benchmark Results

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