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 551575 of 4856 papers

TitleStatusHype
Camouflaged Object DetectionCode1
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event SequencesCode1
CableInspect-AD: An Expert-Annotated Anomaly Detection DatasetCode1
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic ForecastingCode1
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality DetectionCode1
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionCode1
Can LLMs Understand Time Series Anomalies?Code1
Can Multimodal LLMs Perform Time Series Anomaly Detection?Code1
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly DetectionCode1
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and ForecastingCode1
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing FlowsCode1
CHAD: Charlotte Anomaly DatasetCode1
Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour modelsCode1
ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The UnknownCode1
Classification-Based Anomaly Detection for General DataCode1
Class Label-aware Graph Anomaly DetectionCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Collaborative Discrepancy Optimization for Reliable Image Anomaly LocalizationCode1
AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedInCode1
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data StreamCode1
Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video DatasetCode1
Conformal Anomaly Detection on Spatio-Temporal Observations with Missing DataCode1
Coniferest: a complete active anomaly detection frameworkCode1
Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry HousesCode1
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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