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 14011450 of 4856 papers

TitleStatusHype
Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization0
CGGM: A conditional graph generation model with adaptive sparsity for node anomaly detection in IoT networks0
Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and DestroyerCode0
TOTEM: TOkenized Time Series EMbeddings for General Time Series AnalysisCode3
Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-ValuesCode0
Attention-GAN for Anomaly Detection: A Cutting-Edge Approach to Cybersecurity Threat Management0
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and EvaluationCode1
PatchFlow: Leveraging a Flow-Based Model with Patch Features0
Low-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection0
PUAD: Frustratingly Simple Method for Robust Anomaly DetectionCode1
Reimagining Anomalies: What If Anomalies Were Normal?0
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly DetectionCode1
FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework0
Statistical Test on Diffusion Model-based Anomaly Detection by Selective Inference0
Generative Semi-supervised Graph Anomaly DetectionCode2
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised LearningCode1
Empirical Density Estimation based on Spline Quasi-Interpolation with applications to Copulas clustering modeling0
Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUICode0
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection ModelsCode2
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs0
Backdoor Attack against One-Class Sequential Anomaly Detection ModelsCode0
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review0
Trustworthy UAV Cooperative Localization: Information Analysis of Performance and Security0
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data0
Detecting Anomalous Events in Object-centric Business Processes via Graph Neural NetworksCode0
Research and application of Transformer based anomaly detection model: A literature review0
Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities0
APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks0
Distributed Anomaly Detection in Modern Power Systems: A Penalty-based Mitigation Approach0
Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking StudyCode0
Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI0
Advancing Video Anomaly Detection: A Concise Review and a New Dataset0
OIL-AD: An Anomaly Detection Framework for Sequential Decision SequencesCode0
IoT Network Traffic Analysis with Deep Learning0
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment0
Statistical Test for Anomaly Detections by Variational Auto-Encoders0
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency PerspectiveCode2
One-class anomaly detection through color-to-thermal AI for building envelope inspection0
Quantum Normalizing Flows for Anomaly Detection0
Timer: Generative Pre-trained Transformers Are Large Time Series ModelsCode4
Understanding Time Series Anomaly State Detection through One-Class Classification0
A hybrid IndRNNLSTM approach for real-time anomaly detection in software-defined networks0
Statistical validation of a deep learning algorithm for dental anomaly detection in intraoral radiographs using paired data0
Develop End-to-End Anomaly Detection System0
Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly Detection0
Retrieval Augmented Deep Anomaly Detection for Tabular DataCode0
Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case StudyCode0
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled ImagesCode3
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PETCode0
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect0
Show:102550
← PrevPage 29 of 98Next →

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