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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 51–100 of 155 papers

TitleStatusHype
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited DataCode0
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization—0
Weakly-supervised anomaly detection for multimodal data distributions—0
Pancreatic Tumor Segmentation as Anomaly Detection in CT Images Using Denoising Diffusion Models—0
Anomaly Detection by Context Contrasting—0
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled DataCode0
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection—0
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor SignalsCode0
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly DetectionCode0
IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer StudyCode0
Machine learning-based identification of Gaia astrometric exoplanet orbitsCode0
Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning—0
Improving Interpretability of Scores in Anomaly Detection Based on Gaussian-Bernoulli Restricted Boltzmann Machine—0
MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network—0
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs—0
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment—0
Semi-supervised learning via DQN for log anomaly detection—0
Hyperbolic Anomaly Detection—0
Semi-Supervised Health Index Monitoring with Feature Generation and Fusion—0
Revisiting Non-separable Binary Classification and its Applications in Anomaly DetectionCode0
Weakly Supervised Anomaly Detection for Chest X-Ray ImageCode0
CL-Flow:Strengthening the Normalizing Flows by Contrastive Learning for Better Anomaly Detection—0
Open-Set Graph Anomaly Detection via Normal Structure Regularisation—0
Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised Anomaly Detection Strategy—0
Weakly-Supervised Video Anomaly Detection with Snippet Anomalous AttentionCode0
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets—0
Deep Semi-Supervised Anomaly Detection for Finding Fraud in the Futures Market—0
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly DetectionCode0
Label-based Graph Augmentation with Metapath for Graph Anomaly DetectionCode0
Semi-Supervised Anomaly Detection for the Determination of Vehicle Hijacking Tweets—0
Future Video Prediction from a Single Frame for Video Anomaly Detection—0
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection—0
Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers—0
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on AnomaliesCode0
AnoRand: A Semi Supervised Deep Learning Anomaly Detection Method by Random Labeling—0
Reconstruction Error-based Anomaly Detection with Few Outlying Examples—0
Self-Supervised Anomaly Detection of Rogue Soil Moisture Sensors—0
Weakly-Supervised Anomaly Detection in the Milky WayCode0
Weakly Supervised Detection of Baby Cry—0
Few-shot Weakly-supervised Cybersecurity Anomaly Detection—0
AGAD: Adversarial Generative Anomaly Detection—0
Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection—0
Disruption Precursor Onset Time Study Based on Semi-supervised Anomaly Detection—0
Confidence-Aware and Self-Supervised Image Anomaly LocalisationCode0
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption—0
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial NetworksCode0
Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning—0
Supervised Anomaly Detection Method Combining Generative Adversarial Networks and Three-Dimensional Data in Vehicle Inspections—0
Prototypical Residual Networks for Anomaly Detection and Localization—0
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch—0
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