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 14011425 of 4856 papers

TitleStatusHype
Cross-Modal Fusion and Attention Mechanism for Weakly Supervised Video Anomaly Detection0
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems0
Frames and vertex-frequency representations in graph fractional Fourier domain0
An Anomaly Detection System Based on Generative Classifiers for Controller Area Network0
STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly Detection0
Time Series Foundational Models: Their Role in Anomaly Detection and PredictionCode0
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection0
CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection0
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural PerspectiveCode0
Cech Complex Generation with Homotopy Equivalence Framework for Myocardial Infarction Diagnosis using Electrocardiogram Signals0
A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum ProcessorCode0
DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction0
Effective and Efficient Representation Learning for Flight TrajectoriesCode0
Intelligent Approaches to Predictive Analytics in Occupational Health and Safety in India0
Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA's DART Time Series: A Machine Learning Approach for Enhancing Data Integrity for NASA's GRACE-FO Verification and Validation0
A Deep Probabilistic Framework for Continuous Time Dynamic Graph GenerationCode0
Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware0
A Unified Framework for Context-Aware IoT Management and State-of-the-Art IoT Traffic Anomaly Detection0
Robust PCA Based on Adaptive Weighted Least Squares and Low-Rank Matrix Factorization0
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report GenerationCode0
Quantum Machine Learning in Log-based Anomaly Detection: Challenges and Opportunities0
BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection0
Synthetic Data Generation for Anomaly Detection on Table GrapesCode0
PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection0
Are Large Language Models Useful for Time Series Data Analysis?0
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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