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 201250 of 4856 papers

TitleStatusHype
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New BaselineCode1
Component-aware anomaly detection framework for adjustable and logical industrial visual inspectionCode1
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation LearningCode1
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted InstancesCode1
Class Label-aware Graph Anomaly DetectionCode1
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly DetectionCode1
AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedInCode1
Collaborative Discrepancy Optimization for Reliable Image Anomaly LocalizationCode1
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly ScoresCode1
A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection TechniquesCode1
Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video DatasetCode1
Conformal Anomaly Detection on Spatio-Temporal Observations with Missing DataCode1
Coniferest: a complete active anomaly detection frameworkCode1
CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly DetectionCode1
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth SimulationCode1
ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The UnknownCode1
Correlation-aware Deep Generative Model for Unsupervised Anomaly DetectionCode1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly DetectionCode1
Active Anomaly Detection via EnsemblesCode1
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive AlignmentCode1
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active LearningCode1
Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and ReasoningCode1
Dynamic Addition of Noise in a Diffusion Model for Anomaly DetectionCode1
Classification-Based Anomaly Detection for General DataCode1
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video EventsCode1
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly DetectionCode1
Challenges in Visual Anomaly Detection for Mobile RobotsCode1
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security ApplicationsCode1
Deep Anomaly Detection with Outlier ExposureCode1
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly DetectionCode1
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition SoundsCode1
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed NetworksCode1
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly DetectionCode1
CHAD: Charlotte Anomaly DatasetCode1
Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRICode1
Deep Orthogonal Hypersphere Compression for Anomaly DetectionCode1
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly LocalizationCode1
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and ForecastingCode1
Deep Learning in Latent Space for Video Prediction and CompressionCode1
Deep Reinforcement Learning for Cost-Effective Medical DiagnosisCode1
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly DetectionCode1
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 PandemicCode1
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing FlowsCode1
Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour modelsCode1
Clustered Hierarchical Anomaly and Outlier Detection AlgorithmsCode1
Demystifying and Extracting Fault-indicating Information from Logs for Failure DiagnosisCode1
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set RecognitionCode1
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event SequencesCode1
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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