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

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Showing 601–650 of 4856 papers

TitleStatusHype
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set FrameworkCode1
Blind Localization and Clustering of Anomalies in TexturesCode1
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive LearningCode1
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial LearningCode1
Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noiseCode1
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open ChallengesCode1
F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain InformationCode1
Anomaly Detection of Wind Turbine Time Series using Variational Recurrent AutoencodersCode1
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised LearningCode1
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly DetectionCode1
Fully Convolutional Cross-Scale-Flows for Image-based Defect DetectionCode1
Building an Automated and Self-Aware Anomaly Detection SystemCode1
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic ForecastingCode1
Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and MonitoringCode1
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality DetectionCode1
Anomaly Detection Requires Better RepresentationsCode1
Calibrated One-class Classification for Unsupervised Time Series Anomaly DetectionCode1
Camouflaged Object DetectionCode1
Can Multimodal LLMs Perform Time Series Anomaly Detection?Code1
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly DetectionCode1
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event SequencesCode1
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training DataCode1
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and ForecastingCode1
Anomaly Detection under Distribution ShiftCode1
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing FlowsCode1
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly LocalizationCode1
ARC: A Generalist Graph Anomaly Detector with In-Context LearningCode1
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth SimulationCode1
Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRICode1
Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour modelsCode1
ARCADe: A Rapid Continual Anomaly DetectorCode1
Isolation Mondrian Forest for Batch and Online Anomaly DetectionCode1
Class Label-aware Graph Anomaly DetectionCode1
Classification-Based Anomaly Detection for General DataCode1
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and LocalizationCode1
CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly DetectionCode1
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video EventsCode1
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold NetworksCode1
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly DetectionCode1
A Survey of Visual Sensory Anomaly DetectionCode1
Are we certain it's anomalous?Code1
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
Component-aware anomaly detection framework for adjustable and logical industrial visual inspectionCode1
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic GraphsCode1
Anomaly Detection using Score-based Perturbation ResilienceCode1
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly DetectionCode1
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoTCode1
Learning image representations for anomaly detection: application to discovery of histological alterations in drug developmentCode1
Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video DatasetCode1
FrAug: Frequency Domain Augmentation for Time Series ForecastingCode1
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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
6INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8—Unverified
7DDADDetection AUROC99.8—Unverified
8EfficientAD (early stopping)Detection AUROC99.8—Unverified
9PBASDetection AUROC99.8—Unverified
10HETMMDetection AUROC99.8—Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8—Unverified
2GLADDetection AUROC99.5—Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15—Unverified
4DDADDetection AUROC98.9—Unverified
5Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9—Unverified
6INP-Former ViT-B (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