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 226–250 of 4856 papers

TitleStatusHype
GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly DetectionCode1
Peri-midFormer: Periodic Pyramid Transformer for Time Series AnalysisCode1
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold NetworksCode1
Identify Backdoored Model in Federated Learning via Individual UnlearningCode1
Multi-scale feature reconstruction network for industrial anomaly detectionCode1
Coniferest: a complete active anomaly detection frameworkCode1
TimeSeriesExam: A time series understanding examCode1
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood PromptsCode1
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly DetectionCode1
LogLM: From Task-based to Instruction-based Automated Log AnalysisCode1
Low-complexity Attention-based Unsupervised Anomalous Sound Detection exploiting Separable Convolutions and Angular LossCode1
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly DetectorCode1
Can LLMs Understand Time Series Anomalies?Code1
Neural Fourier Modelling: A Highly Compact Approach to Time-Series AnalysisCode1
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic ObservationsCode1
CableInspect-AD: An Expert-Annotated Anomaly Detection DatasetCode1
MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRICode1
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and ForecastingCode1
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly DetectionCode1
VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly DetectionCode1
Demystifying and Extracting Fault-indicating Information from Logs for Failure DiagnosisCode1
VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector QuantizationCode1
FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language ModelCode1
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and PurificationCode1
ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line ScanningCode1
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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