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

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Showing 1151–1200 of 4856 papers

TitleStatusHype
Anomaly Detection Using Normalizing Flow-Based Density Estimation and Synthetic Defect ClassificationCode0
Anomaly detection for the identification of volcanic unrest in satellite imagery—0
When and How Does In-Distribution Label Help Out-of-Distribution Detection?Code0
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic GraphsCode1
SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection—0
Hawk: Learning to Understand Open-World Video AnomaliesCode3
ARC: A Generalist Graph Anomaly Detector with In-Context LearningCode1
A Study on Unsupervised Anomaly Detection and Defect Localization using Generative Model in Ultrasonic Non-Destructive Testing—0
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation—0
Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection—0
Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series MeasurementsCode0
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection—0
UnitNorm: Rethinking Normalization for Transformers in Time Series—0
Pattern-Based Time-Series Risk Scoring for Anomaly Detection and Alert Filtering -- A Predictive Maintenance Case Study—0
DETECTA 2.0: Research into non-intrusive methodologies supported by Industry 4.0 enabling technologies for predictive and cyber-secure maintenance in SMEs—0
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection—0
Anomalous Change Point Detection Using Probabilistic Predictive Coding—0
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders—0
Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes—0
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2Code2
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly DetectionCode3
Large language models can be zero-shot anomaly detectors for time series?Code2
Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal DistillationCode1
Detecting Gait Abnormalities in Foot-Floor Contacts During Walking Through Footstep-Induced Structural Vibrations—0
GNN-based Anomaly Detection for Encoded Network Traffic—0
LogRCA: Log-based Root Cause Analysis for Distributed Services—0
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior—0
TauAD: MRI-free Tau Anomaly Detection in PET Imaging via Conditioned Diffusion Models—0
Multimodal video analysis for crowd anomaly detection using open access tourism cameras—0
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical ImageCode1
Automated Anomaly Detection on European XFEL Klystrons—0
PATE: Proximity-Aware Time series anomaly EvaluationCode1
Position-Guided Prompt Learning for Anomaly Detection in Chest X-RaysCode1
SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly DetectionCode1
MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly DetectionCode2
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural NetworksCode0
ECATS: Explainable-by-design concept-based anomaly detection for time series—0
A Robust Autoencoder Ensemble-Based Approach for Anomaly Detection in Text—0
Networking Systems for Video Anomaly Detection: A Tutorial and SurveyCode1
MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly DetectionCode0
A Hierarchically Feature Reconstructed Autoencoder for Unsupervised Anomaly Detection—0
Model-Free Unsupervised Anomaly Detection Framework in Multivariate Time-Series of Industrial Dynamical Systems—0
Self-supervised vision-langage alignment of deep learning representations for bone X-rays analysisCode0
RESTAD: REconstruction and Similarity based Transformer for time series Anomaly DetectionCode0
IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data—0
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous DrivingCode1
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language ModelsCode1
DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured SystemsCode0
Generation of Granular-Balls for Clustering Based on the Principle of Justifiable Granularity—0
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor SignalsCode0
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All datasetsMVTec ADVisAMVTec LOCO ADOne-class CIFAR-10CUHK AvenueShanghaiTechFishyscapes L&FUCR Anomaly ArchiveMPDDBTADOne-class CIFAR-100UBnormal

Benchmark Results

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