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 21012150 of 4856 papers

TitleStatusHype
Detecting Anomalous Events in Object-centric Business Processes via Graph Neural NetworksCode0
Research and application of Transformer based anomaly detection model: A literature review0
Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities0
APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks0
Distributed Anomaly Detection in Modern Power Systems: A Penalty-based Mitigation Approach0
Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking StudyCode0
Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI0
OIL-AD: An Anomaly Detection Framework for Sequential Decision SequencesCode0
Advancing Video Anomaly Detection: A Concise Review and a New Dataset0
Statistical Test for Anomaly Detections by Variational Auto-Encoders0
IoT Network Traffic Analysis with Deep Learning0
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment0
One-class anomaly detection through color-to-thermal AI for building envelope inspection0
Quantum Normalizing Flows for Anomaly Detection0
Understanding Time Series Anomaly State Detection through One-Class Classification0
A hybrid IndRNNLSTM approach for real-time anomaly detection in software-defined networks0
Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly Detection0
Develop End-to-End Anomaly Detection System0
Statistical validation of a deep learning algorithm for dental anomaly detection in intraoral radiographs using paired data0
Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case StudyCode0
Retrieval Augmented Deep Anomaly Detection for Tabular DataCode0
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PETCode0
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect0
Anomaly Detection of Particle Orbit in Accelerator using LSTM Deep Learning Technology0
SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance0
Towards Robust Hyperspectral Anomaly Detection: Decomposing Background, Anomaly, and Mixed Noise via Convex Optimization0
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection0
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection0
Multitask Active Learning for Graph Anomaly DetectionCode0
Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysisCode0
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection0
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them0
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection0
MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images0
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization0
MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series0
Intelligent Optimization and Machine Learning Algorithms for Structural Anomaly Detection using Seismic Signals0
A GAN-based data poisoning framework against anomaly detection in vertical federated learning0
ADVENT: Attack/Anomaly Detection in VANETs0
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies0
The weird and the wonderful in our Solar System: Searching for serendipity in the Legacy Survey of Space and Time0
Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning0
MLAD: A Unified Model for Multi-system Log Anomaly Detection0
Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study0
Edge-Enabled Anomaly Detection and Information Completion for Social Network Knowledge Graphs0
Video Anomaly Detection and Explanation via Large Language Models0
EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model0
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 Measurement0
Empirical Analysis of Anomaly Detection on Hyperspectral Imaging Using Dimension Reduction Methods0
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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