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

Showing 11511200 of 4856 papers

TitleStatusHype
Image-Based Detection of Modifications in Gas Pump PCBs with Deep Convolutional AutoencodersCode0
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature LearningCode0
Implementing Lightweight Intrusion Detection System on Resource Constrained DevicesCode0
Improved AutoEncoder with LSTM module and KL divergenceCode0
Inverting Adversarially Robust Networks for Image SynthesisCode0
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly DetectionCode0
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse RepresentationsCode0
Hyperedge Anomaly Detection with Hypergraph Neural NetworkCode0
Hybrid Isolation Forest - Application to Intrusion DetectionCode0
HyperBrain: Anomaly Detection for Temporal Hypergraph Brain NetworksCode0
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based ApproachCode0
Human Kinematics-inspired Skeleton-based Video Anomaly DetectionCode0
Hybrid Deep Network for Anomaly DetectionCode0
HSS-IAD: A Heterogeneous Same-Sort Industrial Anomaly Detection DatasetCode0
Hybrid Deep Neural Networks to Infer State Models of Black-Box SystemsCode0
How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?Code0
How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly DetectionCode0
Hashing for Structure-based Anomaly DetectionCode0
A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum ProcessorCode0
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel ApproachCode0
Hop-Count Based Self-Supervised Anomaly Detection on Attributed NetworksCode0
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification FrameworkCode0
An Empirical Investigation of Contextualized Number PredictionCode0
A One-Class Classification method based on Expanded Non-Convex HullsCode0
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly DetectionCode0
Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly DetectionCode0
Heartbeat Anomaly Detection using Adversarial OversamplingCode0
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural NetworksCode0
High-dimensional and Permutation Invariant Anomaly DetectionCode0
An Unsupervised Framework for Anomaly Detection in a Water Treatment System.Code0
Hallucinated Heartbeats: Anomaly-Aware Remote Pulse EstimationCode0
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community DetectionCode0
Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced DataCode0
Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomaliesCode0
AndroShield: Automated Android Applications Vulnerability Detection, a Hybrid Static and Dynamic Analysis ApproachCode0
ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel TrainingCode0
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula ProcessesCode0
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance InspectionCode0
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videosCode0
A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor NetworksCode0
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing ValuesCode0
A Novel Multi-Stage Approach for Hierarchical Intrusion DetectionCode0
A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRICode0
Graph Laplacian for Image Anomaly DetectionCode0
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly DetectionCode0
An Autoencoder Architecture for L-band Passive Microwave Retrieval of Landscape Freeze-Thaw CycleCode0
Graph Embedded Pose Clustering for Anomaly DetectionCode0
Good Practices and A Strong Baseline for Traffic Anomaly DetectionCode0
GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through GradientCode0
Graph Fairing Convolutional Networks for Anomaly DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPR-faster(TensorRT)FPS1,016Unverified
2CPR-fast(TensorRT)FPS362Unverified
3CPR(TensorRT)FPS130Unverified
4GLASSDetection AUROC99.9Unverified
5UniNetDetection AUROC99.9Unverified
6HETMMDetection AUROC99.8Unverified
7INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8Unverified
8EfficientAD (early stopping)Detection AUROC99.8Unverified
9DDADDetection AUROC99.8Unverified
10PBASDetection AUROC99.8Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8Unverified
2GLADDetection AUROC99.5Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15Unverified
4INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9Unverified
5DDADDetection AUROC98.9Unverified
6Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9Unverified
7DiffusionADDetection AUROC98.8Unverified
8GLASSDetection AUROC98.8Unverified
9TransFusionDetection AUROC98.7Unverified
10HETMMDetection AUROC98.1Unverified
#ModelMetricClaimedVerifiedStatus
1CSADAvg. Detection AUROC95.3Unverified
2PSADAvg. Detection AUROC94.9Unverified