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 10511100 of 4856 papers

TitleStatusHype
Joint Selective State Space Model and Detrending for Robust Time Series Anomaly DetectionCode0
Adversarially Learned One-Class Classifier for Novelty DetectionCode0
KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded DevicesCode0
A Survey on GANs for Anomaly DetectionCode0
Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quarkCode0
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly DetectionCode0
Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time seriesCode0
Is AUC the best measure for practical comparison of anomaly detectors?Code0
Isconna: Streaming Anomaly Detection with Frequency and PatternsCode0
Invertible Neural Networks for Graph PredictionCode0
Inverting Adversarially Robust Networks for Image SynthesisCode0
IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical DomainCode0
Interruptions detection in video conferencesCode0
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory ModelsCode0
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series ForecastingCode0
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly DetectionCode0
A Subspace Method for Time Series Anomaly Detection in Cyber-Physical SystemsCode0
Input complexity and out-of-distribution detection with likelihood-based generative modelsCode0
InQMAD: Incremental Quantum Measurement Anomaly DetectionCode0
Introduction to Rare-Event Predictive Modeling for Inferential Statisticians -- A Hands-On Application in the Prediction of Breakthrough PatentsCode0
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRICode0
Adversarial Distillation of Bayesian Neural Network PosteriorsCode0
Associative Knowledge Graphs for Efficient Sequence Storage and RetrievalCode0
Anomalous Motion Detection on Highway Using Deep LearningCode0
Inferring Networks From Random Walk-Based Node SimilaritiesCode0
Assessing the Impact of a Supervised Classification Filter on Flow-based Hybrid Network Anomaly DetectionCode0
Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex OptimizationCode0
InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly DetectionCode0
Improving Vision Anomaly Detection with the Guidance of Language ModalityCode0
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and LocalizationCode0
Improving SIEM for Critical SCADA Water Infrastructures Using Machine LearningCode0
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial NetworksCode0
A Showcase of the Use of Autoencoders in Feature Learning ApplicationsCode0
Improved Anomaly Detection through Conditional Latent Space VAE EnsemblesCode0
Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series MeasurementsCode0
Improved AutoEncoder with LSTM module and KL divergenceCode0
Improving Novelty Detection using the Reconstructions of Nearest NeighboursCode0
Implementing Lightweight Intrusion Detection System on Resource Constrained DevicesCode0
Importance Weighted Adversarial Discriminative Transfer for Anomaly DetectionCode0
Image-Based Detection of Modifications in Gas Pump PCBs with Deep Convolutional AutoencodersCode0
Image-Pointcloud Fusion based Anomaly Detection using PD-REAL DatasetCode0
Online Detection of Anomalies in Temporal Knowledge Graphs with InterpretabilityCode0
Image anomaly detection with capsule networks and imbalanced datasetsCode0
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature LearningCode0
Improved Anomaly Detection by Using the Attention-Based Isolation ForestCode0
Industrial Image Anomaly Localization Based on Gaussian Clustering of Pretrained FeatureCode0
Attribute Restoration Framework for Anomaly DetectionCode0
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse RepresentationsCode0
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based ApproachCode0
HyperBrain: Anomaly Detection for Temporal Hypergraph Brain NetworksCode0
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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
6INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8Unverified
7DDADDetection AUROC99.8Unverified
8EfficientAD (early stopping)Detection AUROC99.8Unverified
9PBASDetection AUROC99.8Unverified
10HETMMDetection AUROC99.8Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8Unverified
2GLADDetection AUROC99.5Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15Unverified
4DDADDetection AUROC98.9Unverified
5Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9Unverified
6INP-Former ViT-B (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