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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

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Showing 1–50 of 155 papers

TitleStatusHype
Few-Shot Anomaly-Driven Generation for Anomaly Classification and SegmentationCode2
Self-supervised Anomaly Detection Pretraining Enhances Long-tail ECG DiagnosisCode2
Explainable Deep Few-shot Anomaly Detection with Deviation NetworksCode1
Unsupervised Model Selection for Time-series Anomaly DetectionCode1
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly DetectionCode1
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly DetectionCode1
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active LearningCode1
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationCode1
ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance ApplicationsCode1
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly DataCode1
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced RecognitionCode1
Consistency-based Self-supervised Learning for Temporal Anomaly LocalizationCode1
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and LocalizationCode1
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly DetectionCode1
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly DetectionCode1
Semi-supervised Anomaly Detection using AutoEncodersCode1
SLA^2P: Self-supervised Anomaly Detection with Adversarial PerturbationCode1
Supervised Anomaly Detection for Complex Industrial ImagesCode1
A^3: Activation Anomaly AnalysisCode1
Weakly Supervised Anomaly Detection: A SurveyCode1
Diffusion Models for Medical Anomaly DetectionCode1
On Diffusion Modeling for Anomaly DetectionCode1
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch RetrievalCode1
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical ImageCode1
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous SupervisionCode1
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame DetectionCode1
SAD: Semi-Supervised Anomaly Detection on Dynamic GraphsCode1
Catching Both Gray and Black Swans: Open-set Supervised Anomaly DetectionCode1
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
Self-Supervised Anomaly Detection by Self-Distillation and Negative SamplingCode0
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly DetectionCode0
Revisiting Non-separable Binary Classification and its Applications in Anomaly DetectionCode0
A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in ImagesCode0
R2-AD2: Detecting Anomalies by Analysing the Raw GradientCode0
PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time SeriesCode0
Multi-Normal Prototypes Learning for Weakly Supervised Anomaly DetectionCode0
SADDE: Semi-supervised Anomaly Detection with Dependable ExplanationsCode0
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-raysCode0
Machine learning-based identification of Gaia astrometric exoplanet orbitsCode0
A One-Class Classification method based on Expanded Non-Convex HullsCode0
Deep Semi-Supervised Anomaly DetectionCode0
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial NetworksCode0
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly DetectionCode0
Label-based Graph Augmentation with Metapath for Graph Anomaly DetectionCode0
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled DataCode0
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videosCode0
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly ScoresCode0
IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer StudyCode0
How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?Code0
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