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 47514775 of 4856 papers

TitleStatusHype
Sliced-Wasserstein-based Anomaly Detection and Open Dataset for Localized Critical Peak RebatesCode0
Enhancing Fairness in Unsupervised Graph Anomaly Detection through DisentanglementCode0
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series DataCode0
Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly DetectionCode0
Pre-training Vision Models with Mandelbulb VariationsCode0
Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammogramsCode0
Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMsCode0
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingCode0
Deep Weakly-supervised Anomaly DetectionCode0
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly DetectionCode0
Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAECode0
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly DetectionCode0
Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and DatasetCode0
Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized MeasurementsCode0
Context-Aware Deep Time-Series Decomposition for Anomaly Detection in BusinessesCode0
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of AugmentationCode0
A Probabilistic Transformation of Distance-Based OutliersCode0
Anomaly Detection in High Dimensional DataCode0
Anomaly detection in dynamic networksCode0
Smart Vectorizations for Single and Multiparameter PersistenceCode0
ATD: Anomalous Topic Discovery in High Dimensional Discrete DataCode0
A Deep Learning Approach for Active Anomaly Detection of Extragalactic TransientsCode0
Enhanced anomaly detection in well log data through the application of ensemble GANsCode0
Consistency-based anomaly detection with adaptive multiple-hypotheses predictionsCode0
Conformalized Semi-supervised Random Forest for Classification and Abnormality DetectionCode0
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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