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

Showing 451500 of 4856 papers

TitleStatusHype
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation LearningCode1
On Diffusion Modeling for Anomaly DetectionCode1
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly DetectionCode1
Improving Position Encoding of Transformers for Multivariate Time Series ClassificationCode1
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly DetectionCode1
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial ForensicsCode1
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale LearningCode1
Beyond Individual Input for Deep Anomaly Detection on Tabular DataCode1
SAD: Semi-Supervised Anomaly Detection on Dynamic GraphsCode1
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowCode1
Component-aware anomaly detection framework for adjustable and logical industrial visual inspectionCode1
AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation SchemeCode1
Unsupervised anomaly detection algorithms on real-world data: how many do we need?Code1
Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention NetworksCode1
Graph Neural Network-Based Anomaly Detection for River Network SystemsCode1
Spot The Odd One Out: Regularized Complete Cycle Consistent Anomaly Detector GANCode1
Rail Detection: An Efficient Row-based Network and A New BenchmarkCode1
Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational AutoencoderCode1
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale ReconstructionCode1
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And ForecastingCode1
Unsupervised Anomaly Detection and Localization of Machine Audio: A GAN-based ApproachCode1
You Only Train Once: Learning a General Anomaly Enhancement Network with Random Masks for Hyperspectral Anomaly DetectionCode1
Long-Short Temporal Co-Teaching for Weakly Supervised Video Anomaly DetectionCode1
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative FlowCode1
GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud DetectionCode1
Searching for long faint astronomical high energy transients: a data driven approachCode1
Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly DetectionCode1
Anomaly Detection under Distribution ShiftCode1
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly DetectionCode1
One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship LearningCode1
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly DetectionCode1
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial NetworksCode1
Spacecraft Anomaly Detection with Attention Temporal Convolution NetworkCode1
Diversity-Measurable Anomaly DetectionCode1
Fast and Multi-aspect Mining of Complex Time-stamped Event StreamsCode1
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRICode1
First-shot anomaly sound detection for machine condition monitoring: A domain generalization baselineCode1
Unsupervised Pathology Detection: A Deep Dive Into the State of the ArtCode1
Dissolving Is Amplifying: Towards Fine-Grained Anomaly DetectionCode1
MDF-Net for abnormality detection by fusing X-rays with clinical dataCode1
Set Features for Fine-grained Anomaly DetectionCode1
Memory-augmented Online Video Anomaly DetectionCode1
Deep Reinforcement Learning for Cost-Effective Medical DiagnosisCode1
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR ImagesCode1
FrAug: Frequency Domain Augmentation for Time Series ForecastingCode1
Collaborative Discrepancy Optimization for Reliable Image Anomaly LocalizationCode1
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series DataCode1
Zero-Shot Anomaly Detection via Batch NormalizationCode1
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal AttentionCode1
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban ScenesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPR-faster(TensorRT)FPS1,016Unverified
2CPR-fast(TensorRT)FPS362Unverified
3CPR(TensorRT)FPS130Unverified
4GLASSDetection AUROC99.9Unverified
5UniNetDetection AUROC99.9Unverified
6HETMMDetection AUROC99.8Unverified
7INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8Unverified
8EfficientAD (early stopping)Detection AUROC99.8Unverified
9DDADDetection AUROC99.8Unverified
10PBASDetection AUROC99.8Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8Unverified
2GLADDetection AUROC99.5Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15Unverified
4INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9Unverified
5DDADDetection AUROC98.9Unverified
6Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9Unverified
7DiffusionADDetection AUROC98.8Unverified
8GLASSDetection AUROC98.8Unverified
9TransFusionDetection AUROC98.7Unverified
10HETMMDetection AUROC98.1Unverified
#ModelMetricClaimedVerifiedStatus
1CSADAvg. Detection AUROC95.3Unverified
2PSADAvg. Detection AUROC94.9Unverified