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 14511500 of 4856 papers

TitleStatusHype
From Zero to Hero: Cold-Start Anomaly DetectionCode0
A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical TransientsCode0
FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillationCode0
fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection LibraryCode0
Focus or Not: A Baseline for Anomaly Event Detection On the Open Public Places with Satellite ImagesCode0
CNTS: Cooperative Network for Time SeriesCode0
Finite sample guarantees for quantile estimation: An application to detector threshold tuningCode0
Cluster-Wide Task Slowdown Detection in Cloud SystemCode0
PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time SeriesCode0
Foundation Models for Structural Health MonitoringCode0
Few-shot Online Anomaly Detection and SegmentationCode0
Fence GAN: Towards Better Anomaly DetectionCode0
Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User AnomaliesCode0
CloudShield: Real-time Anomaly Detection in the CloudCode0
Deep generative models for unsupervised delamination detection using guided wavesCode0
Federated Learning with Reservoir State Analysis for Time Series Anomaly DetectionCode0
Achieving Counterfactual Fairness for Anomaly DetectionCode0
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative FrameworkCode0
CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIPCode0
Anomaly Detection in Video Sequence with Appearance-Motion CorrespondenceCode0
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationCode0
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event DetectionCode0
Fast Particle-based Anomaly Detection Algorithm with Variational AutoencoderCode0
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and ApplicationsCode0
A Metric Learning Approach to Anomaly Detection in Video GamesCode0
FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing TasksCode0
DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured SystemsCode0
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objectsCode0
Adaptive Thresholding Heuristic for KPI Anomaly DetectionCode0
Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly DetectionCode0
f-AnoGAN: Fast Unsupervised Anomaly Detection with Generative Adversarial NetworksCode0
FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly DetectionCode0
Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly MachineCode0
Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networksCode0
FADE: Forecasting for Anomaly Detection on ECGCode0
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time SeriesCode0
Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly DetectionCode0
Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health MonitoringCode0
Extended Isolation ForestCode0
Exploring Hyperspectral Anomaly Detection with Human Vision: A Small Target Aware DetectorCode0
Context Encoding Chest X-raysCode0
FABLE : Fabric Anomaly Detection Automation ProcessCode0
Explaining Anomalies in Groups with Characterizing Subspace RulesCode0
Anomaly detection in the dynamics of web and social networksCode0
Algorithmic Frameworks for the Detection of High Density AnomaliesCode0
Deep Anomaly Detection for Generalized Face Anti-SpoofingCode0
Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time SeriesCode0
Explain First, Trust Later: LLM-Augmented Explanations for Graph-Based Crypto Anomaly DetectionCode0
Exploring Deep Anomaly Detection Methods Based on Capsule NetCode0
Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack DetectionCode0
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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