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 1826–1850 of 4856 papers

TitleStatusHype
xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence ModelsCode0
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural BehaviorCode0
CHASE: A Causal Heterogeneous Graph based Framework for Root Cause Analysis in Multimodal Microservice Systems—0
MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation—0
Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced DataCode0
CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation—0
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis—0
Human-Free Automated Prompting for Vision-Language Anomaly Detection: Prompt Optimization with Meta-guiding Prompt Scheme—0
Anomaly detection with a variational autoencoder for Arabic mispronunciation detection—0
SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder—0
Robust Zero Trust Architecture: Joint Blockchain based Federated learning and Anomaly Detection based Framework—0
Anomaly Detection of Tabular Data Using LLMs—0
Integrating Generative AI with Network Digital Twins for Enhanced Network Operations—0
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal ImagesCode0
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language ModelsCode0
Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network and Transformer—0
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event DetectionCode0
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics—0
ATAC-Net: Zoomed view works better for Anomaly Detection—0
Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU model—0
Tracking Real-time Anomalies in Cyber-Physical Systems Through Dynamic Behavioral Analysis—0
Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation—0
Online-Adaptive Anomaly Detection for Defect Identification in Aircraft Assembly—0
Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection—0
Model Evaluation and Anomaly Detection in Temporal Complex Networks using Deep Learning Methods—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
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