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 151200 of 4856 papers

TitleStatusHype
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly DetectionCode2
A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Anomaly DetectionCode2
Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language ModelsCode2
Large language models can be zero-shot anomaly detectors for time series?Code2
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language ModelsCode2
Bayesian Prompt Flow Learning for Zero-Shot Anomaly DetectionCode2
Log-based Anomaly Detection with Deep Learning: How Far Are We?Code2
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly DetectionCode2
MedIAnomaly: A comparative study of anomaly detection in medical imagesCode2
Triad: Empowering LMM-based Anomaly Detection with Vision Expert-guided Visual Tokenizer and Manufacturing ProcessCode2
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly LocalizationCode1
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous DrivingCode1
AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-DecoderCode1
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive AlignmentCode1
Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal DistillationCode1
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly DetectionCode1
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly DetectionCode1
A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR DataCode1
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly DetectionCode1
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly DetectionsCode1
Cross-Modal Learning for Anomaly Detection in Complex Industrial Process: Methodology and BenchmarkCode1
Correlation-aware Deep Generative Model for Unsupervised Anomaly DetectionCode1
An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile RobotsCode1
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly DetectionCode1
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly DetectionCode1
Anomaly localization by modeling perceptual featuresCode1
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly DetectionCode1
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active LearningCode1
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language ModelsCode1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
Active Anomaly Detection via EnsemblesCode1
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical ImagesCode1
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting DataCode1
Anomaly Detection with Score Distribution DiscriminationCode1
Coniferest: a complete active anomaly detection frameworkCode1
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation LearningCode1
Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video DatasetCode1
A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection TechniquesCode1
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowCode1
AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly DetectionCode1
Anomaly Detection in Medical Imaging with Deep Perceptual AutoencodersCode1
Component-aware anomaly detection framework for adjustable and logical industrial visual inspectionCode1
Conformal Anomaly Detection on Spatio-Temporal Observations with Missing DataCode1
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame DetectionCode1
Collaborative Discrepancy Optimization for Reliable Image Anomaly LocalizationCode1
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New BaselineCode1
Anomaly Detection using Score-based Perturbation ResilienceCode1
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video EventsCode1
Clustered Hierarchical Anomaly and Outlier Detection AlgorithmsCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
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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
6INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8Unverified
7DDADDetection AUROC99.8Unverified
8EfficientAD (early stopping)Detection AUROC99.8Unverified
9PBASDetection AUROC99.8Unverified
10HETMMDetection AUROC99.8Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8Unverified
2GLADDetection AUROC99.5Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15Unverified
4DDADDetection AUROC98.9Unverified
5Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9Unverified
6INP-Former ViT-B (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