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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

Showing 101150 of 155 papers

TitleStatusHype
LesionPaste: One-Shot Anomaly Detection for Medical Images0
Diffusion Models for Medical Anomaly DetectionCode1
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning0
Anomaly Detection in File Fragment Classification of Image File Formats0
Adaptive Graph Convolutional Networks for Weakly Supervised Anomaly Detection in Videos0
Self-Supervised Anomaly Detection by Self-Distillation and Negative SamplingCode0
SLA^2P: Self-supervised Anomaly Detection with Adversarial PerturbationCode1
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods0
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and LocalizationCode1
No Shifted Augmentations (NSA): strong baselines for self-supervised Anomaly Detection0
Explainable Deep Few-shot Anomaly Detection with Deviation NetworksCode1
A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in ImagesCode0
From Unsupervised to Semi-supervised Anomaly Detection Methods for HRRP Targets0
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly DetectionCode1
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly DetectionCode1
Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection0
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active LearningCode1
Hop-Count Based Self-Supervised Anomaly Detection on Attributed NetworksCode0
Elsa: Energy-based learning for semi-supervised anomaly detection0
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection0
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-raysCode0
Understanding Bias in Anomaly Detection: A Semi-Supervised View with PAC GuaranteesCode0
ESAD: End-to-end Deep Semi-supervised Anomaly Detection0
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection0
Using Channel State Information for Physical Tamper Attack Detection in OFDM Systems: A Deep Learning Approach0
Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour modelsCode1
Graph Fairing Convolutional Networks for Anomaly DetectionCode0
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly DataCode1
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels0
Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly Detection0
Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network0
Anomaly Detection with Domain Adaptation0
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly ScoresCode0
A^3: Activation Anomaly AnalysisCode1
Semi-supervised Anomaly Detection on Attributed GraphsCode0
Semi-supervised Anomaly Detection using AutoEncodersCode1
AnoNet: Weakly Supervised Anomaly Detection in Textured Surfaces0
On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery0
Deep Weakly-supervised Anomaly DetectionCode0
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods0
Anomaly Detection with Inexact Labels0
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices0
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data0
Deep Semi-Supervised Anomaly DetectionCode0
Anomaly Detection in Images0
Supervised Anomaly Detection based on Deep Autoregressive Density Estimators0
Autoencoding Binary Classifiers for Supervised Anomaly Detection0
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly DetectionCode0
Anomaly Detection for an E-commerce Pricing System0
GANomaly: Semi-Supervised Anomaly Detection via Adversarial TrainingCode0
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