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 2201–2250 of 4856 papers

TitleStatusHype
Conformalized Kernel Ridge Regression—0
Conformalized density- and distance-based anomaly detection in time-series data—0
Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics—0
Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection—0
Configurable Spatial-Temporal Hierarchical Analysis for Flexible Video Anomaly Detection—0
Anomaly Detection using Capsule Networks for High-dimensional Datasets—0
A method for incremental discovery of financial event types based on anomaly detection—0
ConditionNET: Learning Preconditions and Effects for Execution Monitoring—0
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos—0
HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization—0
Condition Monitoring with Machine Learning: A Data-Driven Framework for Quantifying Wind Turbine Energy Loss—0
Condition monitoring and anomaly detection in cyber-physical systems—0
Anomaly Detection Under Uncertainty Using Distributionally Robust Optimization Approach—0
Concise Logarithmic Loss Function for Robust Training of Anomaly Detection Model—0
Anomaly Detection Under Multiplicative Noise Model Uncertainty—0
A Method for Detecting Abnormal Data of Network Nodes Based on Convolutional Neural Network—0
Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets—0
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection—0
Concept-based Anomaly Detection in Retail Stores for Automatic Correction using Mobile Robots—0
Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning—0
AcME-AD: Accelerated Model Explanations for Anomaly Detection—0
Guarding the Grid: Enhancing Resilience in Automated Residential Demand Response Against False Data Injection Attacks—0
Hardware Architecture Proposal for TEDA algorithm to Data Streaming Anomaly Detection—0
An Investigation of Traffic Density Changes inside Wuhan during the COVID-19 Epidemic with GF-2 Time-Series Images—0
Computing Graph Descriptors on Edge Streams—0
AddGraph_ Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN—0
Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts—0
Computer Vision on X-ray Data in Industrial Production and Security Applications: A Comprehensive Survey—0
Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems—0
Anomaly detection through latent space restoration using vector-quantized variational autoencoders—0
A Massively Parallel Associative Memory Based on Sparse Neural Networks—0
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation—0
Compressive Change Retrieval for Moving Object Detection—0
Anomaly Detection Techniques in Smart Grid Systems: A Review—0
ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model—0
Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies—0
Compressed Smooth Sparse Decomposition—0
Anomaly Detection Support Using Process Classification—0
A Marketplace Price Anomaly Detection System at Scale—0
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test—0
Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset—0
Anomaly Detection: Review and preliminary Entropy method tests—0
Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection—0
Composite Kernel Local Angular Discriminant Analysis for Multi-Sensor Geospatial Image Analysis—0
A Mallows-like Criterion for Anomaly Detection with Random Forest Implementation—0
Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection—0
Anomaly detection optimization using big data and deep learning to reduce false-positive—0
ADDAI: Anomaly Detection using Distributed AI—0
Group Anomaly Detection using Flexible Genre Models—0
Complying with the EU AI Act: Innovations in Explainable and User-Centric Hand Gesture Recognition—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