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 13511400 of 4856 papers

TitleStatusHype
Anomaly Detection With Multiple-Hypotheses PredictionsCode0
An Adaptive Anaphylaxis Detection and Emergency Response SystemCode0
Addressing Out-of-Label Hazard Detection in Dashcam Videos: Insights from the COOOL ChallengeCode0
Confidence-Aware and Self-Supervised Image Anomaly LocalisationCode0
Anomaly Detection using Autoencoders in High Performance Computing SystemsCode0
General Domain Adaptation Through Proportional Progressive Pseudo LabelingCode0
Generator Based Inference (GBI)Code0
Inverting Adversarially Robust Networks for Image SynthesisCode0
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly DetectionCode0
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly DetectionCode0
A Deep Probabilistic Framework for Continuous Time Dynamic Graph GenerationCode0
CSCLog: A Component Subsequence Correlation-Aware Log Anomaly Detection MethodCode0
gen2Out: Detecting and Ranking Generalized AnomaliesCode0
AD-DMKDE: Anomaly Detection through Density Matrices and Fourier FeaturesCode0
Concept Drift and Anomaly Detection in Graph StreamsCode0
GANomaly: Semi-Supervised Anomaly Detection via Adversarial TrainingCode0
A Meta-Analysis of the Anomaly Detection ProblemCode0
Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite RankingCode0
GANetic Loss for Generative Adversarial Networks with a Focus on Medical ApplicationsCode0
Concentration bounds for the empirical angular measure with statistical learning applicationsCode0
Anomaly Detection through Unsupervised Federated LearningCode0
Fusing Dictionary Learning and Support Vector Machines for Unsupervised Anomaly DetectionCode0
CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly DetectionCode0
Kernel-Based Anomaly Detection Using Generalized Hyperbolic ProcessesCode0
Computer Vision and Normalizing Flow-Based Defect DetectionCode0
fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection LibraryCode0
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event DetectionCode0
GADformer: A Transparent Transformer Model for Group Anomaly Detection on TrajectoriesCode0
A clustering approach to time series forecasting using neural networks: A comparative study on distance-based vs. feature-based clustering methodsCode0
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical ObservationsCode0
FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillationCode0
From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based AlgorithmsCode0
Composite Convolution: a Flexible Operator for Deep Learning on 3D Point CloudsCode0
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly DetectionCode0
Foundation Models for Structural Health MonitoringCode0
From Zero to Hero: Cold-Start Anomaly DetectionCode0
Finite sample guarantees for quantile estimation: An application to detector threshold tuningCode0
Dimensionless Anomaly Detection on Multivariate Streams with Variance Norm and Path SignatureCode0
Comparison of Anomaly Detectors: Context MattersCode0
Anomaly Detection on Financial Time Series by Principal Component Analysis and Neural NetworksCode0
Few-shot Online Anomaly Detection and SegmentationCode0
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest ClassificationCode0
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-SeriesCode0
Fence GAN: Towards Better Anomaly DetectionCode0
Focus or Not: A Baseline for Anomaly Event Detection On the Open Public Places with Satellite ImagesCode0
Combining Machine Learning Models using combo LibraryCode0
AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active LearningCode0
Learning Networks from Random Walk-Based Node SimilaritiesCode0
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationCode0
CoMadOut -- A Robust Outlier Detection Algorithm based on CoMADCode0
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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