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 14511475 of 4856 papers

TitleStatusHype
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopesCode1
UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image RestorationCode1
Anomaly Detection of Particle Orbit in Accelerator using LSTM Deep Learning Technology0
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection0
Towards Robust Hyperspectral Anomaly Detection: Decomposing Background, Anomaly, and Mixed Noise via Convex Optimization0
SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance0
Alleviating Structural Distribution Shift in Graph Anomaly DetectionCode1
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection0
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly DetectionCode1
Multitask Active Learning for Graph Anomaly DetectionCode0
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 Detection0
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them0
GI-PIP: Do We Require Impractical Auxiliary Dataset for Gradient Inversion Attacks?Code1
Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysisCode0
Unsupervised Machine Learning for the Classification of Astrophysical X-ray SourcesCode1
Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry HousesCode1
TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact SupervisionCode1
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection0
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization0
MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images0
Towards Universal Unsupervised Anomaly Detection in Medical ImagingCode1
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
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly DetectionCode1
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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