SOTAVerified

Semi-supervised Anomaly Detection

Papers

Showing 125 of 76 papers

TitleStatusHype
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level LatenciesCode2
Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour modelsCode1
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced RecognitionCode1
Iterative weak/self-supervised classification framework for abnormal events detectionCode1
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous SupervisionCode1
On Diffusion Modeling for Anomaly DetectionCode1
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical ImageCode1
Semi-supervised Anomaly Detection using AutoEncodersCode1
Real-world Anomaly Detection in Surveillance VideosCode1
A^3: Activation Anomaly AnalysisCode1
SAD: Semi-Supervised Anomaly Detection on Dynamic GraphsCode1
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationCode1
Anomaly Detection by Recombining Gated Unsupervised ExpertsCode0
R2-AD2: Detecting Anomalies by Analysing the Raw GradientCode0
Label-based Graph Augmentation with Metapath for Graph Anomaly DetectionCode0
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly DetectionCode0
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly ScoresCode0
Learning Temporal Regularity in Video SequencesCode0
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled DataCode0
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on AnomaliesCode0
Deep Semi-Supervised Anomaly DetectionCode0
Abnormal Event Detection in Videos using Spatiotemporal AutoencoderCode0
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial NetworksCode0
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videosCode0
Generative Neural Networks for Anomaly Detection in Crowded ScenesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SS-Model + WS-Model + Sultani et al.AUC0.85Unverified
2SS-ModelAUC0.82Unverified
3LSTM-AEAUC0.54Unverified
4s2-VAEAUC0.54Unverified