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 851–900 of 4856 papers

TitleStatusHype
Anomaly Detection in Medical Imaging with Deep Perceptual AutoencodersCode1
Locally Masked Convolution for Autoregressive ModelsCode1
Manifolds for Unsupervised Visual Anomaly DetectionCode1
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and FeaturesCode1
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition SoundsCode1
Learning Latent Space Energy-Based Prior ModelCode1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
Camouflaged Object DetectionCode1
Rethinking Assumptions in Deep Anomaly DetectionCode1
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcityCode1
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly DetectionCode1
Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and MonitoringCode1
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic GraphsCode1
Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End OptimizationCode1
Learning Generalized Spoof Cues for Face Anti-spoofingCode1
Sub-Image Anomaly Detection with Deep Pyramid CorrespondencesCode1
Classification-Based Anomaly Detection for General DataCode1
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly DetectionCode1
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible TransformationsCode1
RaPP: Novelty Detection with Reconstruction along Projection PathwayCode1
How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time seriesCode1
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal ImagingCode1
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training ParadigmCode1
Anomaly Detection for Time Series Using VAE-LSTM Hybrid ModelCode1
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative StudyCode1
When, Where, and What? A New Dataset for Anomaly Detection in Driving VideosCode1
Learning Memory-guided Normality for Anomaly DetectionCode1
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly DetectionCode1
FastDTW is approximate and Generally Slower than the Algorithm it ApproximatesCode1
Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncodersCode1
Synthesize then Compare: Detecting Failures and Anomalies for Semantic SegmentationCode1
Fast Distance-based Anomaly Detection in Images Using an Inception-like AutoencoderCode1
Isolation Mondrian Forest for Batch and Online Anomaly DetectionCode1
A^3: Activation Anomaly AnalysisCode1
MLography: An Automated Quantitative Metallography Model for Impurities Anomaly Detection using Novel Data Mining and Deep Learning ApproachCode1
One-Class Graph Neural Networks for Anomaly Detection in Attributed NetworksCode1
RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicity DetectionCode1
Correlation-aware Deep Generative Model for Unsupervised Anomaly DetectionCode1
AnomalyDAE: Dual autoencoder for anomaly detection on attributed networksCode1
Iterative energy-based projection on a normal data manifold for anomaly localizationCode1
Unsupervised Anomaly Detection for X-Ray ImagesCode1
Semi-supervised Anomaly Detection using AutoEncodersCode1
Root Cause Detection Among Anomalous Time Series Using Temporal State AlignmentCode1
Perceptual Image Anomaly DetectionCode1
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound DetectionCode1
Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control SystemsCode1
Time-Series Anomaly Detection Service at MicrosoftCode1
MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly DetectionCode1
Deep Anomaly Detection on Attributed NetworksCode1
Functional Isolation ForestCode1
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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