SOTAVerified

Supervised Anomaly Detection

In the training set, the amount of abnormal samples is limited and significant fewer than normal samples, producing data distributions that lead to a naturally imbalanced learning problem.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 155 papers

TitleStatusHype
Self-supervised Anomaly Detection Pretraining Enhances Long-tail ECG DiagnosisCode2
Few-Shot Anomaly-Driven Generation for Anomaly Classification and SegmentationCode2
Explainable Deep Few-shot Anomaly Detection with Deviation NetworksCode1
Unsupervised Model Selection for Time-series Anomaly DetectionCode1
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame DetectionCode1
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly DetectionCode1
ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance ApplicationsCode1
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationCode1
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch RetrievalCode1
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly DetectionCode1
SLA^2P: Self-supervised Anomaly Detection with Adversarial PerturbationCode1
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly DetectionCode1
Catching Both Gray and Black Swans: Open-set Supervised Anomaly DetectionCode1
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly DetectionCode1
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced RecognitionCode1
On Diffusion Modeling for Anomaly DetectionCode1
Consistency-based Self-supervised Learning for Temporal Anomaly LocalizationCode1
SAD: Semi-Supervised Anomaly Detection on Dynamic GraphsCode1
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical ImageCode1
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active LearningCode1
Weakly Supervised Anomaly Detection: A SurveyCode1
Diffusion Models for Medical Anomaly DetectionCode1
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly DataCode1
Supervised Anomaly Detection for Complex Industrial ImagesCode1
Semi-supervised Anomaly Detection using AutoEncodersCode1
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous SupervisionCode1
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and LocalizationCode1
A^3: Activation Anomaly AnalysisCode1
Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour modelsCode1
Learning to Adapt to Unseen Abnormal Activities under Weak SupervisionCode1
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection—0
Anomaly Detection with Domain Adaptation—0
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies—0
Anomaly Detection in File Fragment Classification of Image File Formats—0
Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network—0
BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection—0
Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning—0
Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large Infrastructures—0
Directional anomaly detection—0
Autoencoding Binary Classifiers for Supervised Anomaly Detection—0
Anomaly Detection for an E-commerce Pricing System—0
Anomaly Detection in Images—0
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels—0
Enhanced semi-supervised stamping process monitoring with physically-informed feature extraction—0
Deep Semi-Supervised Anomaly Detection for Finding Fraud in the Futures Market—0
Anomaly Detection by Context Contrasting—0
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection—0
Disruption Precursor Onset Time Study Based on Semi-supervised Anomaly Detection—0
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection—0
ESAD: End-to-end Deep Semi-supervised Anomaly Detection—0
Show:102550
← PrevPage 1 of 4Next →

No leaderboard results yet.