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 1201–1250 of 4856 papers

TitleStatusHype
AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning with Only Normal SamplesCode0
A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in ImagesCode0
How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?Code0
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on AnomaliesCode0
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula ProcessesCode0
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel ApproachCode0
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly DetectionCode0
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly DetectionCode0
Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly DetectionCode0
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly DetectionCode0
Heartbeat Anomaly Detection using Adversarial OversamplingCode0
High-dimensional and Permutation Invariant Anomaly DetectionCode0
Image-Pointcloud Fusion based Anomaly Detection using PD-REAL DatasetCode0
Attribute Restoration Framework for Anomaly DetectionCode0
An anomaly detection approach for backdoored neural networks: face recognition as a case studyCode0
Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced DataCode0
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community DetectionCode0
Hallucinated Heartbeats: Anomaly-Aware Remote Pulse EstimationCode0
AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active LearningCode0
Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in VideosCode0
Group Anomaly Detection using Deep Generative ModelsCode0
Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomaliesCode0
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power linesCode0
Graph Laplacian for Image Anomaly DetectionCode0
Anomaly Detection with Variance Stabilized Density EstimationCode0
Graph Fairing Convolutional Networks for Anomaly DetectionCode0
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing ValuesCode0
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited DataCode0
Good Practices and A Strong Baseline for Traffic Anomaly DetectionCode0
A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless FunctionsCode0
GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through GradientCode0
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly DetectionCode0
Anomaly Detection with Selective Dictionary LearningCode0
A Deep Probabilistic Framework for Continuous Time Dynamic Graph GenerationCode0
Anomaly Detection with Robust Deep AutoencodersCode0
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series DataCode0
Anomaly Detection With Partitioning Overfitting Autoencoder EnsemblesCode0
Anomaly Detection With Multiple-Hypotheses PredictionsCode0
An Adaptive Anaphylaxis Detection and Emergency Response SystemCode0
Generator Based Inference (GBI)Code0
A Multi-task Deep Learning Architecture for Maritime Surveillance using AIS Data StreamsCode0
Generative Optimization Networks for Memory Efficient Data GenerationCode0
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario DetectionCode0
GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space ModelCode0
Graph Embedded Pose Clustering for Anomaly DetectionCode0
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural NetworksCode0
Anomaly Detection with Generative Adversarial Networks for Multivariate Time SeriesCode0
General Domain Adaptation Through Proportional Progressive Pseudo LabelingCode0
Anomaly Detection with Density EstimationCode0
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly DetectionCode0
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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