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 251300 of 4856 papers

TitleStatusHype
Eliciting Latent Knowledge from Quirky Language ModelsCode1
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal ImagesCode1
Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and ReasoningCode1
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged FraudstersCode1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
A Comprehensive Survey on Graph Anomaly Detection with Deep LearningCode1
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly DetectionCode1
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly DetectionCode1
Correlation-aware Deep Generative Model for Unsupervised Anomaly DetectionCode1
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly DetectionsCode1
CutPaste: Self-Supervised Learning for Anomaly Detection and LocalizationCode1
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed NetworksCode1
Coniferest: a complete active anomaly detection frameworkCode1
A Comprehensive Survey of Regression Based Loss Functions for Time Series ForecastingCode1
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical ImagesCode1
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowCode1
ADNet: Temporal Anomaly Detection in Surveillance VideosCode1
Conformal Anomaly Detection on Spatio-Temporal Observations with Missing DataCode1
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting DataCode1
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly DetectionCode1
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
Component-aware anomaly detection framework for adjustable and logical industrial visual inspectionCode1
AD-LLM: Benchmarking Large Language Models for Anomaly DetectionCode1
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural NetworksCode1
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New BaselineCode1
Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video DatasetCode1
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation LearningCode1
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video EventsCode1
A Discrepancy Aware Framework for Robust Anomaly DetectionCode1
Clustered Hierarchical Anomaly and Outlier Detection AlgorithmsCode1
Class Label-aware Graph Anomaly DetectionCode1
Classification-Based Anomaly Detection for General DataCode1
CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly DetectionCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour modelsCode1
ADGym: Design Choices for Deep Anomaly DetectionCode1
ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The UnknownCode1
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease AssessmentCode1
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive LearningCode1
Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRICode1
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth SimulationCode1
Collaborative Discrepancy Optimization for Reliable Image Anomaly LocalizationCode1
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame DetectionCode1
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and ForecastingCode1
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly DetectionCode1
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly LocalizationCode1
Catching Both Gray and Black Swans: Open-set Supervised Anomaly DetectionCode1
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing FlowsCode1
Can Multimodal LLMs Perform Time Series Anomaly Detection?Code1
Can LLMs Understand Time Series Anomalies?Code1
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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