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 51–75 of 155 papers

TitleStatusHype
Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling—0
Elsa: Energy-based learning for semi-supervised anomaly detection—0
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection—0
Enhanced semi-supervised stamping process monitoring with physically-informed feature extraction—0
ESAD: End-to-end Deep Semi-supervised Anomaly Detection—0
Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised Anomaly Detection Strategy—0
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection—0
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices—0
Adaptive Graph Convolutional Networks for Weakly Supervised Anomaly Detection in Videos—0
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data—0
Few-shot Weakly-supervised Cybersecurity Anomaly Detection—0
From Unsupervised to Semi-supervised Anomaly Detection Methods for HRRP Targets—0
Deep evolving semi-supervised anomaly detection—0
AnoRand: A Semi Supervised Deep Learning Anomaly Detection Method by Random Labeling—0
On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery—0
Deep Anomaly Detection and Search via Reinforcement Learning—0
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods—0
Improving Interpretability of Scores in Anomaly Detection Based on Gaussian-Bernoulli Restricted Boltzmann Machine—0
AnoNet: Weakly Supervised Anomaly Detection in Textured Surfaces—0
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning—0
MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network—0
Hyperbolic Anomaly Detection—0
Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos—0
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects—0
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs—0
Show:102550
← PrevPage 3 of 7Next →

No leaderboard results yet.