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 18511900 of 4856 papers

TitleStatusHype
Model Evaluation and Anomaly Detection in Temporal Complex Networks using Deep Learning Methods0
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System TelemetryCode0
Weakly-supervised anomaly detection for multimodal data distributions0
Anomaly Detection Utilizing a Riemann Metric for Robust Myoelectric Pattern Recognition0
Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection0
Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection0
fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection LibraryCode0
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving0
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving0
RAPID: Robust APT Detection and Investigation Using Context-Aware Deep Learning0
Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection0
Higher-order Structure Based Anomaly Detection on Attributed Networks0
A Recover-then-Discriminate Framework for Robust Anomaly Detection0
VisionAD, a software package of performant anomaly detection algorithms, and Proportion Localised, an interpretable metricCode0
GANetic Loss for Generative Adversarial Networks with a Focus on Medical ApplicationsCode0
Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization0
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions0
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models0
Multivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs0
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection0
Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs0
A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection0
DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection0
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy0
Pancreatic Tumor Segmentation as Anomaly Detection in CT Images Using Denoising Diffusion Models0
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising0
Enhancing Fairness in Unsupervised Graph Anomaly Detection through DisentanglementCode0
An Origami-Inspired Endoscopic Capsule with Tactile Perception for Early Tissue Anomaly Detection0
Anomaly Anything: Promptable Unseen Visual Anomaly Generation0
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection0
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingCode0
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection0
Stochastic Earned Value Analysis using Monte Carlo Simulation and Statistical Learning Techniques0
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey0
Joint Selective State Space Model and Detrending for Robust Time Series Anomaly DetectionCode0
Performance Examination of Symbolic Aggregate Approximation in IoT Applications0
From Zero to Hero: Cold-Start Anomaly DetectionCode0
Anomaly Detection by Context Contrasting0
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled DataCode0
A Mallows-like Criterion for Anomaly Detection with Random Forest Implementation0
Video Anomaly Detection in 10 Years: A Survey and Outlook0
Anomaly detection for the identification of volcanic unrest in satellite imagery0
When and How Does In-Distribution Label Help Out-of-Distribution Detection?Code0
Anomaly Detection Using Normalizing Flow-Based Density Estimation and Synthetic Defect ClassificationCode0
SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection0
A Study on Unsupervised Anomaly Detection and Defect Localization using Generative Model in Ultrasonic Non-Destructive Testing0
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation0
Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series MeasurementsCode0
Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection0
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection0
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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