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 751800 of 4856 papers

TitleStatusHype
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling0
Spatio-temporal Multivariate Cluster Evolution Analysis for Detecting and Tracking Climate ImpactsCode0
Hybrid Architecture for Real-Time Video Anomaly Detection: Integrating Spatial and Temporal Analysis0
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast0
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive AnalysisCode5
Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly DetectionCode0
XAI-based Feature Ensemble for Enhanced Anomaly Detection in Autonomous Driving SystemsCode0
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications0
ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life0
Controllable RANSAC-based Anomaly Detection via Hypothesis Testing0
TimeSeriesExam: A time series understanding examCode1
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood PromptsCode1
Towards Unsupervised Validation of Anomaly-Detection Models0
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial ScenariosCode2
A Physics-Based Context-Aware Approach for Anomaly Detection in Teleoperated Driving Operations Under False Data Injection Attacks0
Statistical testing on generative AI anomaly detection tools in Alzheimer's Disease diagnosis0
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationCode0
Automatic Mapping of Anatomical Landmarks from Free-Text Using Large Language Models: Insights from Llama-20
Improved Anomaly Detection through Conditional Latent Space VAE EnsemblesCode0
Revisited Large Language Model for Time Series Analysis through Modality Alignment0
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency PatchingCode2
A Formal Framework for Assessing and Mitigating Emergent Security Risks in Generative AI Models: Bridging Theory and Dynamic Risk Mitigation0
SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly DetectionCode0
Federated Learning framework for LoRaWAN-enabled IIoT communication: A case study0
CONSULT: Contrastive Self-Supervised Learning for Few-shot Tumor Detection0
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the EdgeCode0
TAAD: Time-varying adversarial anomaly detection in dynamic graphs0
LADMIM: Logical Anomaly Detection with Masked Image Modeling in Discrete Latent Space0
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly DetectionCode1
AI-based particle track identification in scintillating fibres read out with imaging sensors0
DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection0
Anomaly Detection and Inlet Pressure Prediction in Water Distribution Systems Using Machine Learning0
LogLM: From Task-based to Instruction-based Automated Log AnalysisCode1
Timeseria: an object-oriented time series processing library0
MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly DetectionCode3
Convolutional Neural Network Design and Evaluation for Real-Time Multivariate Time Series Fault Detection in Spacecraft Attitude Sensors0
Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholding0
DFM: Interpolant-free Dual Flow Matching0
Low-complexity Attention-based Unsupervised Anomalous Sound Detection exploiting Separable Convolutions and Angular LossCode1
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly DetectionCode0
Towards Cross-domain Few-shot Graph Anomaly Detection0
A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments0
SALINA: Towards Sustainable Live Sonar Analytics in Wild Ecosystems0
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data0
rECGnition_v1.0: Arrhythmia detection using cardiologist-inspired multi-modal architecture incorporating demographic attributes in ECG0
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly DetectorCode1
On The Relationship between Visual Anomaly-free and Anomalous Representations0
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible RepresentationsCode0
Task-oriented Time Series Imputation Evaluation via Generalized RepresentersCode0
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance VideosCode0
Show:102550
← PrevPage 16 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