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 26–50 of 155 papers

TitleStatusHype
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
Show:102550
← PrevPage 2 of 7Next →

No leaderboard results yet.