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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 601–650 of 4856 papers

TitleStatusHype
Multimodal Industrial Anomaly Detection by Crossmodal Reverse DistillationCode0
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection—0
Enhancing Cybersecurity in IoT Networks: A Deep Learning Approach to Anomaly Detection—0
GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through GradientCode0
Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection—0
Unlocking the Potential of Reverse Distillation for Anomaly DetectionCode1
Anomaly detection using Diffusion-based methods—0
PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time SeriesCode0
Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any GranularityCode2
siForest: Detecting Network Anomalies with Set-Structured Isolation Forest—0
Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection—0
Hyperedge Anomaly Detection with Hypergraph Neural NetworkCode0
A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System—0
Self-Supervised Masked Mesh Learning for Unsupervised Anomaly Detection on 3D Cortical Surfaces—0
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous DrivingCode1
Anomaly Detection and Classification in Knowledge Graphs—0
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection—0
MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects—0
ETLNet: An Efficient TCN-BiLSTM Network for Road Anomaly Detection Using Smartphone Sensors—0
Revitalizing Reconstruction Models for Multi-class Anomaly Detection via Class-Aware Contrastive Learning—0
NLP-ADBench: NLP Anomaly Detection BenchmarkCode1
Towards Zero-shot 3D Anomaly Localization—0
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data—0
SCADE: Scalable Framework for Anomaly Detection in High-Performance System—0
ONER: Online Experience Replay for Incremental Anomaly Detection—0
CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIPCode0
State Frequency Estimation for Anomaly Detection—0
UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection—0
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly DetectionCode1
Sifting through the haystack -- efficiently finding rare animal behaviors in large-scale datasetsCode0
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management—0
An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction—0
F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain InformationCode1
Representation Learning for Time-Domain High-Energy Astrophysics: Discovery of Extragalactic Fast X-ray Transient XRT 200515Code0
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models—0
Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection—0
Deep evolving semi-supervised anomaly detection—0
Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Survey—0
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection—0
Real-Time Anomaly Detection in Video Streams—0
Real-time Anomaly Detection at the L1 Trigger of CMS Experiment—0
Unsupervised Learning Approach to Anomaly Detection in Gravitational Wave Data—0
Enhanced anomaly detection in well log data through the application of ensemble GANsCode0
Automatic Prompt Generation and Grounding Object Detection for Zero-Shot Image Anomaly Detection—0
Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering—0
GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network—0
A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts—0
Anomaly Detection in California Electricity Price Forecasting: Enhancing Accuracy and Reliability Using Principal Component Analysis—0
Revisiting DDIM Inversion for Controlling Defect Generation by Disentangling the Background—0
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training DataCode1
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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