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 11011150 of 4856 papers

TitleStatusHype
Inferring Networks From Random Walk-Based Node SimilaritiesCode0
Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex OptimizationCode0
InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly DetectionCode0
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial NetworksCode0
Industrial Image Anomaly Localization Based on Gaussian Clustering of Pretrained FeatureCode0
InQMAD: Incremental Quantum Measurement Anomaly DetectionCode0
Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological imagesCode0
Are We Using Autoencoders in a Wrong Way?Code0
Improving SIEM for Critical SCADA Water Infrastructures Using Machine LearningCode0
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN FrameworkCode0
Improving Vision Anomaly Detection with the Guidance of Language ModalityCode0
Improving Novelty Detection using the Reconstructions of Nearest NeighboursCode0
Improved AutoEncoder with LSTM module and KL divergenceCode0
Improved Anomaly Detection through Conditional Latent Space VAE EnsemblesCode0
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory PredictionCode0
Importance Weighted Adversarial Discriminative Transfer for Anomaly DetectionCode0
Implementing Lightweight Intrusion Detection System on Resource Constrained DevicesCode0
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature LearningCode0
ARES: Locally Adaptive Reconstruction-based Anomaly ScoringCode0
Image-Based Detection of Modifications in Gas Pump PCBs with Deep Convolutional AutoencodersCode0
Image-Pointcloud Fusion based Anomaly Detection using PD-REAL DatasetCode0
Improved Anomaly Detection by Using the Attention-Based Isolation ForestCode0
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and LocalizationCode0
Attribute Restoration Framework for Anomaly DetectionCode0
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based ApproachCode0
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification FrameworkCode0
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse RepresentationsCode0
Are generative deep models for novelty detection truly better?Code0
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance InspectionCode0
Hybrid Isolation Forest - Application to Intrusion DetectionCode0
HyperBrain: Anomaly Detection for Temporal Hypergraph Brain NetworksCode0
Hybrid Deep Network for Anomaly DetectionCode0
Human Kinematics-inspired Skeleton-based Video Anomaly DetectionCode0
Hybrid Deep Neural Networks to Infer State Models of Black-Box SystemsCode0
Hyperedge Anomaly Detection with Hypergraph Neural NetworkCode0
IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer StudyCode0
A real-time anomaly detection method for robots based on a flexible and sparse latent spaceCode0
HSS-IAD: A Heterogeneous Same-Sort Industrial Anomaly Detection DatasetCode0
How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly DetectionCode0
How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?Code0
A Computational Theory and Semi-Supervised Algorithm for ClusteringCode0
Hop-Count Based Self-Supervised Anomaly Detection on Attributed NetworksCode0
A Prototype-Based Neural Network for Image Anomaly Detection and LocalizationCode0
High-dimensional and Permutation Invariant Anomaly DetectionCode0
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula ProcessesCode0
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly DetectionCode0
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel ApproachCode0
A predictive model for the identification of learning styles in MOOC environmentsCode0
An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning ProcessCode0
Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised 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