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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 4451–4500 of 4856 papers

TitleStatusHype
Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly DetectionCode0
gen2Out: Detecting and Ranking Generalized AnomaliesCode0
Anomaly Detection using One-Class Neural NetworksCode0
neuralGAM: Explainable generalized additive neural networks with independent neural network trainingCode0
Anomaly Detection Using Normalizing Flow-Based Density Estimation and Synthetic Defect ClassificationCode0
β-GNN: A Robust Ensemble Approach Against Graph Structure PerturbationCode0
Beyond the Benchmark: Detecting Diverse Anomalies in VideosCode0
Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss AmplificationCode0
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly DetectionCode0
Beyond Single-Modal Boundary: Cross-Modal Anomaly Detection through Visual Prototype and HarmonizationCode0
Anomaly Detection using Autoencoders in High Performance Computing SystemsCode0
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic SegmentationCode0
SDOoop: Capturing Periodical Patterns and Out-of-phase Anomalies in Streaming Data AnalysisCode0
Seamless Monitoring of Stress Levels Leveraging a Universal Model for Time SequencesCode0
The Impact of Discretization Method on the Detection of Six Types of Anomalies in DatasetsCode0
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion DetectionCode0
Understanding Bias in Anomaly Detection: A Semi-Supervised View with PAC GuaranteesCode0
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly DetectionCode0
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled DataCode0
NLP-Based .NET CLR Event Logs AnalyzerCode0
GANomaly: Semi-Supervised Anomaly Detection via Adversarial TrainingCode0
GANetic Loss for Generative Adversarial Networks with a Focus on Medical ApplicationsCode0
SECODA: Segmentation- and Combination-Based Detection of AnomaliesCode0
Anomaly Detection through Unsupervised Federated LearningCode0
The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantizationCode0
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly DetectionCode0
Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge DistillationCode0
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly DetectionCode0
GADformer: A Transparent Transformer Model for Group Anomaly Detection on TrajectoriesCode0
Deep One-Class ClassificationCode0
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model TuningCode0
Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving NoiseCode0
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data StreamsCode0
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit RepresentationsCode0
adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detectionCode0
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio EstimationCode0
Fusing Dictionary Learning and Support Vector Machines for Unsupervised Anomaly DetectionCode0
Understanding normalization in contrastive representation learning and out-of-distribution detectionCode0
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data ContaminationCode0
NFAD: Fixing anomaly detection using normalizing flowsCode0
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event DetectionCode0
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on TextCode0
fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection LibraryCode0
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly DetectionCode0
What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised HorizonCode0
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation LearningCode0
When and How Does In-Distribution Label Help Out-of-Distribution Detection?Code0
Deep Learning for Anomaly Detection: A SurveyCode0
The ROAD to discovery: machine learning-driven anomaly detection in radio astronomy spectrogramsCode0
Deep learning achieves perfect anomaly detection on 108,308 retinal images including unlearned diseasesCode0
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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