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 19261950 of 4856 papers

TitleStatusHype
Active Reinforcement Learning -- A Roadmap Towards Curious Classifier Systems for Self-Adaptation0
Abnormal Event Detection in Videos using Generative Adversarial Nets0
Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization0
A Maritime Industry Experience for Vessel Operational Anomaly Detection: Utilizing Deep Learning Augmented with Lightweight Interpretable Models0
A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories0
Enabling Machine Learning Across Heterogeneous Sensor Networks with Graph Autoencoders0
Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets0
Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task Data0
Evaluating the Effectiveness of Video Anomaly Detection in the Wild: Online Learning and Inference for Real-world Deployment0
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models0
Empirical performance maximization for linear rank statistics0
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery0
Evaluation of an Anomaly Detector for Routers using Parameterizable Malware in an IoT Ecosystem0
Evaluation of Color Anomaly Detection in Multispectral Images For Synthetic Aperture Sensing0
Evaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set0
Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework0
Attire-Based Anomaly Detection in Restricted Areas Using YOLOv8 for Enhanced CCTV Security0
Evaluation Pipeline for systematically searching for Anomaly Detection Systems0
Evaluation Strategy of Time-series Anomaly Detection with Decay Function0
EvAn: Neuromorphic Event-based Anomaly Detection0
EVA-S2PLoR: A Secure Element-wise Multiplication Meets Logistic Regression on Heterogeneous Database0
Empirical Density Estimation based on Spline Quasi-Interpolation with applications to Copulas clustering modeling0
Event and Anomaly Detection Using Tucker3 Decomposition0
Event-Based Dynamic Banking Network Exploration for Economic Anomaly Detection0
Empirical Analysis of Anomaly Detection on Hyperspectral Imaging Using Dimension Reduction Methods0
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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