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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 801–850 of 4856 papers

TitleStatusHype
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and ForecastingCode1
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection AlgorithmsCode1
Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public ProcurementCode1
Perception Datasets for Anomaly Detection in Autonomous Driving: A SurveyCode1
Peri-midFormer: Periodic Pyramid Transformer for Time Series AnalysisCode1
PHEVA: A Privacy-preserving Human-centric Video Anomaly Detection DatasetCode1
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving ScenesCode1
PixMix: Dreamlike Pictures Comprehensively Improve Safety MeasuresCode1
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth SimulationCode1
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowCode1
CableInspect-AD: An Expert-Annotated Anomaly Detection DatasetCode1
Are we certain it's anomalous?Code1
Position-Guided Prompt Learning for Anomaly Detection in Chest X-RaysCode1
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?Code1
A Body Part Embedding Model With Datasets for Measuring 2D Human Motion SimilarityCode1
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor FusionCode1
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly DetectionCode1
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality DetectionCode1
Building an Automated and Self-Aware Anomaly Detection SystemCode1
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly DetectionCode1
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic ForecastingCode1
PySAD: A Streaming Anomaly Detection Framework in PythonCode1
Calibrated One-class Classification for Unsupervised Time Series Anomaly DetectionCode1
QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building DetectionCode1
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly DetectionCode1
A SAM-guided Two-stream Lightweight Model for Anomaly DetectionCode1
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic ObservationsCode1
Rail Detection: An Efficient Row-based Network and A New BenchmarkCode1
Random Partitioning Forest for Point-Wise and Collective Anomaly Detection -- Application to Intrusion DetectionCode1
RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level informationCode1
Real-Time Anomaly Detection in Edge StreamsCode1
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in VideoCode1
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural NetworksCode1
REB: Reducing Biases in Representation for Industrial Anomaly DetectionCode1
Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood EvaluationCode1
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detectionCode1
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR ImagesCode1
Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly DetectionCode1
Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry HousesCode1
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial LearningCode1
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionCode1
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic SegmentationCode1
Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly ScoresCode1
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly DetectionCode1
Camouflaged Object DetectionCode1
Road Anomaly Detection by Partial Image Reconstruction With Segmentation CouplingCode1
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly DetectionCode1
Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation NetworkCode1
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous SupervisionCode1
BIVA: A Very Deep Hierarchy of Latent Variables for Generative ModelingCode1
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All datasetsMVTec ADVisAMVTec LOCO ADOne-class CIFAR-10CUHK AvenueShanghaiTechFishyscapes L&FUCR Anomaly ArchiveMPDDBTADOne-class CIFAR-100UBnormal

Benchmark Results

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