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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1451–1500 of 4856 papers

TitleStatusHype
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopesCode1
Anomaly Detection of Particle Orbit in Accelerator using LSTM Deep Learning Technology—0
UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image RestorationCode1
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection—0
SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance—0
Towards Robust Hyperspectral Anomaly Detection: Decomposing Background, Anomaly, and Mixed Noise via Convex Optimization—0
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection—0
Alleviating Structural Distribution Shift in Graph Anomaly DetectionCode1
Multitask Active Learning for Graph Anomaly DetectionCode0
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly DetectionCode1
PHMD: An easy data access tool for prognosis and health management datasetsCode1
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection—0
Unsupervised Machine Learning for the Classification of Astrophysical X-ray SourcesCode1
Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysisCode0
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them—0
GI-PIP: Do We Require Impractical Auxiliary Dataset for Gradient Inversion Attacks?Code1
Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry HousesCode1
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection—0
TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact SupervisionCode1
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization—0
Towards Universal Unsupervised Anomaly Detection in Medical ImagingCode1
MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images—0
MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series—0
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly DetectionCode1
Intelligent Optimization and Machine Learning Algorithms for Structural Anomaly Detection using Seismic Signals—0
A GAN-based data poisoning framework against anomaly detection in vertical federated learning—0
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies—0
ADVENT: Attack/Anomaly Detection in VANETs—0
The weird and the wonderful in our Solar System: Searching for serendipity in the Legacy Survey of Space and Time—0
Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning—0
MLAD: A Unified Model for Multi-system Log Anomaly Detection—0
Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study—0
Edge-Enabled Anomaly Detection and Information Completion for Social Network Knowledge Graphs—0
EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model—0
Video Anomaly Detection and Explanation via Large Language Models—0
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing ValuesCode0
A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement—0
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly DetectionCode2
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly DetectionCode2
Empirical Analysis of Anomaly Detection on Hyperspectral Imaging Using Dimension Reduction Methods—0
Dynamic Addition of Noise in a Diffusion Model for Anomaly DetectionCode1
Data-Agnostic Face Image Synthesis Detection Using Bayesian CNNs—0
FM-AE: Frequency-masked Multimodal Autoencoder for Zinc Electrolysis Plate Contact Abnormality Detection—0
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis—0
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection—0
Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos—0
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection—0
Attention and Autoencoder Hybrid Model for Unsupervised Online Anomaly Detection—0
Semi-supervised learning via DQN for log anomaly detection—0
Explainable Transformer-Based Anomaly Detection for Internet of Things Security Check for updates—0
Show:102550
← PrevPage 30 of 98Next →
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