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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 1901–1950 of 4856 papers

TitleStatusHype
A Comprehensive Study of Machine Learning Techniques for Log-Based Anomaly Detection—0
Anomaly Detection in Industrial Machinery using IoT Devices and Machine Learning: a Systematic Mapping—0
Benchmarking Jetson Edge Devices with an End-to-end Video-based Anomaly Detection SystemCode0
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection—0
Generative AI for Medical Imaging: extending the MONAI FrameworkCode2
Solving Data Quality Problems with Desbordante: a DemoCode2
EasyNet: An Easy Network for 3D Industrial Anomaly Detection—0
Coupled-Space Attacks against Random-Walk-based Anomaly DetectionCode0
Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis—0
Robustness Verification of Deep Neural Networks using Star-Based Reachability Analysis with Variable-Length Time Series InputCode0
ECG classification using Deep CNN and Gramian Angular Field—0
Sobolev Space Regularised Pre Density Models—0
Unmasking Anomalies in Road-Scene SegmentationCode1
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous SupervisionCode1
Few-shot 1/a Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance—0
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays—0
Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and ModelCode1
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly DetectionCode1
Addressing the Impact of Localized Training Data in Graph Neural NetworksCode0
TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models—0
Integration of Domain Expert-Centric Ontology Design into the CRISP-DM for Cyber-Physical Production Systems—0
Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis—0
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal FeaturesCode0
Refining the Optimization Target for Automatic Univariate Time Series Anomaly Detection in Monitoring Services—0
Heuristic Hyperparameter Choice for Image Anomaly Detection—0
Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities—0
FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation—0
Optimizing PatchCore for Few/many-shot Anomaly DetectionCode1
Representation Learning in Anomaly Detection: Successes, Limits and a Grand Challenge—0
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionCode1
Matrix Profile based Anomaly Detection in Streaming Gait Data for Fall Prevention—0
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray—0
Anomaly Detection with Selective Dictionary LearningCode0
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly DetectionCode1
LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection—0
Custom DNN using Reward Modulated Inverted STDP Learning for Temporal Pattern Recognition—0
Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations—0
Masked Autoencoders for Unsupervised Anomaly Detection in Medical ImagesCode1
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly DetectionCode1
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations—0
BiGSeT: Binary Mask-Guided Separation Training for DNN-based Hyperspectral Anomaly DetectionCode0
Unsupervised Learning of Distributional Properties can Supplement Human Labeling and Increase Active Learning Efficiency in Anomaly Detection—0
DSV: An Alignment Validation Loss for Self-supervised Outlier Model SelectionCode0
Weakly supervised marine animal detection from remote sensing images using vector-quantized variational autoencoder—0
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0—0
Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification—0
Visualization for Multivariate Gaussian Anomaly Detection in Images—0
PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and SegmentationCode1
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions—0
Temporal Graphs Anomaly Emergence Detection: Benchmarking For Social Media Interactions—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