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 41514200 of 4856 papers

TitleStatusHype
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory PredictionCode0
What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based ApproachCode0
An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning ProcessCode0
Multi-Normal Prototypes Learning for Weakly Supervised Anomaly DetectionCode0
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly DetectionCode0
Structural-Temporal Coupling Anomaly Detection with Dynamic Graph TransformerCode0
Machine learning-based identification of Gaia astrometric exoplanet orbitsCode0
CloudShield: Real-time Anomaly Detection in the CloudCode0
Distillation-based fabric anomaly detectionCode0
Disentangling Tabular Data Towards Better One-Class Anomaly DetectionCode0
An Empirical Investigation of Contextualized Number PredictionCode0
Discriminative Graph-level Anomaly Detection via Dual-students-teacher ModelCode0
Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality DetectionCode0
CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIPCode0
A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report GenerationCode0
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly DetectionCode0
A predictive model for the identification of learning styles in MOOC environmentsCode0
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent NeighborhoodsCode0
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection ApproachCode0
Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR ImagesCode0
Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networksCode0
Joint Selective State Space Model and Detrending for Robust Time Series Anomaly DetectionCode0
Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly DetectionCode0
Context Encoding Chest X-raysCode0
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution DetectionCode0
Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time seriesCode0
AndroShield: Automated Android Applications Vulnerability Detection, a Hybrid Static and Dynamic Analysis ApproachCode0
MAD-EN: Microarchitectural Attack Detection through System-wide Energy ConsumptionCode0
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial NetworksCode0
Subtractive Aggregation for Attributed Network Anomaly DetectionCode0
Isconna: Streaming Anomaly Detection with Frequency and PatternsCode0
Unsupervised crack detection on complex stone masonry surfacesCode0
Is AUC the best measure for practical comparison of anomaly detectors?Code0
Combining AI and AM - Improving Approximate Matching through Transformer NetworksCode0
Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real WorldCode0
IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical DomainCode0
Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and DestroyerCode0
Retrieval Augmented Deep Anomaly Detection for Tabular DataCode0
Inverting Adversarially Robust Networks for Image SynthesisCode0
Discovering Antagonists in Networks of Systems: Robot DeploymentCode0
Invertible Neural Networks for Graph PredictionCode0
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densitiesCode0
Attribute Restoration Framework for Anomaly DetectionCode0
DINAMO: Dynamic and INterpretable Anomaly MOnitoring for Large-Scale Particle Physics ExperimentsCode0
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous FeaturesCode0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly DetectionCode0
Mapper Comparison with Wasserstein MetricsCode0
Margin-Aware Intra-Class Novelty Identification for Medical ImagesCode0
Digital Twin of the Radio Environment: A Novel Approach for Anomaly Detection in Wireless 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