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 15511575 of 4856 papers

TitleStatusHype
An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction0
Delamination prediction in composite panels using unsupervised-feature learning methods with wavelet-enhanced guided wave representations0
AAD: Adaptive Anomaly Detection through traffic surveillance videos0
Demo: A Digital Twin of the 5G Radio Access Network for Anomaly Detection Functionality0
DRAM Failure Prediction in AIOps: Empirical Evaluation, Challenges and Opportunities0
DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions0
Anomaly Subsequence Detection with Dynamic Local Density for Time Series0
An Anomaly Detection System Based on Generative Classifiers for Controller Area Network0
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data0
An Anomaly Detection Method for Satellites Using Monte Carlo Dropout0
Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation0
Dependency-based Anomaly Detection: a General Framework and Comprehensive Evaluation0
Data Transformer for Anomalous Trajectory Detection0
Design of a dynamic and self adapting system, supported with artificial intelligence, machine learning and real time intelligence for predictive cyber risk analytics in extreme environments, cyber risk in the colonisation of Mars0
Data refinement for fully unsupervised visual inspection using pre-trained networks0
Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells0
DETECTA 2.0: Research into non-intrusive methodologies supported by Industry 4.0 enabling technologies for predictive and cyber-secure maintenance in SMEs0
Data Quality Monitoring through Transfer Learning on Anomaly Detection for the Hadron Calorimeters0
Detecting abnormal events in video using Narrowed Normality Clusters0
Detecting abnormalities in resting-state dynamics: An unsupervised learning approach0
Arbitrary Discrete Sequence Anomaly Detection with Zero Boundary LSTM0
Detecting Anomalies from Video-Sequences: a Novel Descriptor0
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis0
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection0
Data-Efficient Methods for Dialogue Systems0
Show:102550
← PrevPage 63 of 195Next →

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