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 901–925 of 4856 papers

TitleStatusHype
AutoEncoder Convolutional Neural Network for Pneumonia Detection—0
VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector QuantizationCode1
The Role of Transformer Models in Advancing Blockchain Technology: A Systematic Survey—0
FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language ModelCode1
Graph neural network-based lithium-ion battery state of health estimation using partial discharging curve—0
Quantum Machine Learning for Anomaly Detection in Consumer Electronics—0
A Scalable k-Medoids Clustering via Whale Optimization Algorithm—0
Self-supervised Anomaly Detection Pretraining Enhances Long-tail ECG DiagnosisCode2
HLogformer: A Hierarchical Transformer for Representing Log Data—0
Real-Time Energy Pricing in New Zealand: An Evolving Stream AnalysisCode0
Multitask learning for improved scour detection: A dynamic wave tank studyCode0
Data Quality Monitoring through Transfer Learning on Anomaly Detection for the Hadron Calorimeters—0
Uni-3DAD: GAN-Inversion Aided Universal 3D Anomaly Detection on Model-free Products—0
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and PurificationCode1
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data—0
Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume—0
CSAD: Unsupervised Component Segmentation for Logical Anomaly DetectionCode2
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose TokenizationCode0
Channel-wise Influence: Estimating Data Influence for Multivariate Time Series—0
ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line ScanningCode1
AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection—0
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models—0
PHEVA: A Privacy-preserving Human-centric Video Anomaly Detection DatasetCode1
SPICED: Syntactical Bug and Trojan Pattern Identification in A/MS Circuits using LLM-Enhanced Detection—0
Variational autoencoder-based neural network model compression—0
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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
6INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8—Unverified
7DDADDetection AUROC99.8—Unverified
8EfficientAD (early stopping)Detection AUROC99.8—Unverified
9PBASDetection AUROC99.8—Unverified
10HETMMDetection AUROC99.8—Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8—Unverified
2GLADDetection AUROC99.5—Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15—Unverified
4DDADDetection AUROC98.9—Unverified
5Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9—Unverified
6INP-Former ViT-B (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