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 1951–2000 of 4856 papers

TitleStatusHype
Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving—0
IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer StudyCode0
Improved AutoEncoder with LSTM module and KL divergenceCode0
Feature Purified Transformer With Cross-level Feature Guiding Decoder For Multi-class OOD and Anomaly Deteciton—0
Evaluating the Effectiveness of Video Anomaly Detection in the Wild: Online Learning and Inference for Real-world Deployment—0
Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-ADCode0
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory PredictionCode0
Self-supervised learning for classifying paranasal anomalies in the maxillary sinusCode0
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling—0
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent NeighborhoodsCode0
Accurate and fast anomaly detection in industrial processes and IoT environments—0
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and BeyondCode0
Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows—0
Synchronized Stepwise Control of Firing and Learning Thresholds in a Spiking Randomly Connected Neural Network toward Hardware Implementation—0
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection—0
Anomaly Detection for Incident Response at Scale—0
ABCD: Trust enhanced Attention based Convolutional Autoencoder for Risk Assessment—0
S2DEVFMAP: Self-Supervised Learning Framework with Dual Ensemble Voting Fusion for Maximizing Anomaly Prediction in Timeseries—0
Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data—0
IPAD: Industrial Process Anomaly Detection Dataset—0
Detecting Compromised IoT Devices Using Autoencoders with Sequential Hypothesis Testing—0
A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance—0
Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior—0
Multi-feature Reconstruction Network using Crossed-mask Restoration for Unsupervised Industrial Anomaly Detection—0
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models—0
uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories—0
Warped Time Series Anomaly Detection—0
Anomaly Correction of Business Processes Using Transformer Autoencoder—0
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark—0
Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection—0
CARE to Compare: A real-world dataset for anomaly detection in wind turbine data—0
Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time SeriesCode0
Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices ApproachCode0
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection—0
Machine learning-based identification of Gaia astrometric exoplanet orbitsCode0
Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora—0
Fault Detection in Mobile Networks Using Diffusion Models—0
Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling—0
HCL-MTSAD: Hierarchical Contrastive Consistency Learning for Accurate Detection of Industrial Multivariate Time Series Anomalies—0
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection—0
Language Models Meet Anomaly Detection for Better Interpretability and GeneralizabilityCode0
Context-aware Video Anomaly Detection in Long-Term Datasets—0
Anomaly Detection in Power Grids via Context-Agnostic Learning—0
3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces—0
Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability—0
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey—0
EB-GAME: A Game-Changer in ECG Heartbeat Anomaly Detection—0
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis—0
Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning—0
A Deep Look Into -- Automated Lung X-Ray Abnormality Detection System—0
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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