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 13261350 of 4856 papers

TitleStatusHype
Consistency-based anomaly detection with adaptive multiple-hypotheses predictionsCode0
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly DetectionCode0
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly DetectionCode0
GADformer: A Transparent Transformer Model for Group Anomaly Detection on TrajectoriesCode0
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly DetectionCode0
Conformalized Semi-supervised Random Forest for Classification and Abnormality DetectionCode0
Anomaly Detection with Density EstimationCode0
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
Fusing Dictionary Learning and Support Vector Machines for Unsupervised Anomaly DetectionCode0
GANetic Loss for Generative Adversarial Networks with a Focus on Medical ApplicationsCode0
Tensor decomposition to Compress Convolutional Layers in Deep LearningCode0
CPNet: Cross-Parallel Network for Efficient Anomaly DetectionCode0
fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection LibraryCode0
From Zero to Hero: Cold-Start Anomaly DetectionCode0
AD-DMKDE: Anomaly Detection through Density Matrices and Fourier FeaturesCode0
From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based AlgorithmsCode0
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event DetectionCode0
Concept Drift and Anomaly Detection in Graph StreamsCode0
A Meta-Analysis of the Anomaly Detection ProblemCode0
A Multi-task Deep Learning Architecture for Maritime Surveillance using AIS Data StreamsCode0
Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite RankingCode0
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical ObservationsCode0
GANomaly: Semi-Supervised Anomaly Detection via Adversarial TrainingCode0
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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