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 1701–1750 of 4856 papers

TitleStatusHype
VALD-GAN: video anomaly detection using latent discriminator augmented GAN—0
Open-Set Multivariate Time-Series Anomaly Detection—0
A Multi-Scale Decomposition MLP-Mixer for Time Series AnalysisCode1
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly DetectionCode1
Data Drift Monitoring for Log Anomaly Detection Pipelines—0
Spatially-resolved hyperlocal weather prediction and anomaly detection using IoT sensor networks and machine learning techniques—0
Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle—0
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection—0
Transparent Anomaly Detection via Concept-based Explanations—0
TRANSOM: An Efficient Fault-Tolerant System for Training LLMsCode1
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data—0
Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data—0
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
Electrical Grid Anomaly Detection via Tensor Decomposition—0
Histogram- and Diffusion-Based Medical Out-of-Distribution Detection—0
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly DetectionCode1
Learning a Cross-modality Anomaly Detector for Remote Sensing ImageryCode1
A Discrepancy Aware Framework for Robust Anomaly DetectionCode1
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series PretrainingCode1
Multiscale Fusion for Abnormality Detection and Localization of Distributed Parameter Systems—0
A Supervised Embedding and Clustering Anomaly Detection method for classification of Mobile Network Faults—0
Assessing the Impact of a Supervised Classification Filter on Flow-based Hybrid Network Anomaly DetectionCode0
AnoDODE: Anomaly Detection with Diffusion ODE—0
Self-Discriminative Modeling for Anomalous Graph Detection—0
Enhancing Interpretability and Generalizability in Extended Isolation ForestsCode0
Knowledge Distillation for Anomaly Detection—0
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection—0
A Lightweight Video Anomaly Detection Model with Weak Supervision and Adaptive Instance Selection—0
Successive Data Injection in Conditional Quantum GAN Applied to Time Series Anomaly Detection—0
IPMix: Label-Preserving Data Augmentation Method for Training Robust ClassifiersCode1
Large Language Models for Spatial Trajectory Patterns Mining—0
Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice SystemCode1
Exploring the Potential of Multi-Modal AI for Driving Hazard PredictionCode0
T-Rep: Representation Learning for Time Series using Time-EmbeddingsCode1
FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior knowledge—0
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification—0
A Marketplace Price Anomaly Detection System at Scale—0
Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised Anomaly Detection Strategy—0
Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End—0
Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection—0
A Prototype-Based Neural Network for Image Anomaly Detection and LocalizationCode0
Delving into CLIP latent space for Video Anomaly RecognitionCode1
Improving Vision Anomaly Detection with the Guidance of Language ModalityCode0
ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering—0
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly DetectionCode0
Beyond the Benchmark: Detecting Diverse Anomalies in VideosCode0
Expert enhanced dynamic time warping based anomaly detection—0
Self-supervised Learning for Anomaly Detection in Computational Workflows—0
Don't Miss Out on Novelty: Importance of Novel Features for Deep Anomaly Detection—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