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 751–800 of 4856 papers

TitleStatusHype
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling—0
Spatio-temporal Multivariate Cluster Evolution Analysis for Detecting and Tracking Climate ImpactsCode0
Hybrid Architecture for Real-Time Video Anomaly Detection: Integrating Spatial and Temporal Analysis—0
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast—0
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 Applications—0
ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life—0
Controllable RANSAC-based Anomaly Detection via Hypothesis Testing—0
TimeSeriesExam: A time series understanding examCode1
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood PromptsCode1
Towards Unsupervised Validation of Anomaly-Detection Models—0
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 Attacks—0
Statistical testing on generative AI anomaly detection tools in Alzheimer's Disease diagnosis—0
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationCode0
Automatic Mapping of Anatomical Landmarks from Free-Text Using Large Language Models: Insights from Llama-2—0
Improved Anomaly Detection through Conditional Latent Space VAE EnsemblesCode0
Revisited Large Language Model for Time Series Analysis through Modality Alignment—0
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 Mitigation—0
SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly DetectionCode0
Federated Learning framework for LoRaWAN-enabled IIoT communication: A case study—0
CONSULT: Contrastive Self-Supervised Learning for Few-shot Tumor Detection—0
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the EdgeCode0
TAAD: Time-varying adversarial anomaly detection in dynamic graphs—0
LADMIM: Logical Anomaly Detection with Masked Image Modeling in Discrete Latent Space—0
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly DetectionCode1
AI-based particle track identification in scintillating fibres read out with imaging sensors—0
DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection—0
Anomaly Detection and Inlet Pressure Prediction in Water Distribution Systems Using Machine Learning—0
LogLM: From Task-based to Instruction-based Automated Log AnalysisCode1
Timeseria: an object-oriented time series processing library—0
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 Sensors—0
Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholding—0
DFM: Interpolant-free Dual Flow Matching—0
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 Detection—0
A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments—0
SALINA: Towards Sustainable Live Sonar Analytics in Wild Ecosystems—0
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data—0
rECGnition_v1.0: Arrhythmia detection using cardiologist-inspired multi-modal architecture incorporating demographic attributes in ECG—0
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly DetectorCode1
On The Relationship between Visual Anomaly-free and Anomalous Representations—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPR-faster(TensorRT)FPS1,016—Unverified
2CPR-fast(TensorRT)FPS362—Unverified
3CPR(TensorRT)FPS130—Unverified
4UniNetDetection AUROC99.9—Unverified
5GLASSDetection AUROC99.9—Unverified
6PBASDetection AUROC99.8—Unverified
7HETMMDetection AUROC99.8—Unverified
8INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8—Unverified
9DDADDetection AUROC99.8—Unverified
10EfficientAD (early stopping)Detection AUROC99.8—Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8—Unverified
2GLADDetection AUROC99.5—Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15—Unverified
4Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9—Unverified
5INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9—Unverified
6DDADDetection AUROC98.9—Unverified
7GLASSDetection AUROC98.8—Unverified
8DiffusionADDetection AUROC98.8—Unverified
9TransFusionDetection AUROC98.7—Unverified
10HETMMDetection AUROC98.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CSADAvg. Detection AUROC95.3—Unverified
2PSADAvg. Detection AUROC94.9—Unverified