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Semi-supervised Anomaly Detection

Papers

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Showing 26–50 of 76 papers

TitleStatusHype
Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection—0
Abnormal Event Detection in Videos using Generative Adversarial Nets—0
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods—0
AGAD: Adversarial Generative Anomaly Detection—0
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices—0
Anomaly Detection in File Fragment Classification of Image File Formats—0
Anomaly Detection with Domain Adaptation—0
AnoRand: A Semi Supervised Deep Learning Anomaly Detection Method by Random Labeling—0
Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large Infrastructures—0
BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection—0
Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network—0
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies—0
Improving Interpretability of Scores in Anomaly Detection Based on Gaussian-Bernoulli Restricted Boltzmann Machine—0
LesionPaste: One-Shot Anomaly Detection for Medical Images—0
Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly Detection—0
Reconstruction Error-based Anomaly Detection with Few Outlying Examples—0
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption—0
Semi-supervised anomaly detection algorithm based on KL divergence (SAD-KL)—0
Semi-Supervised Anomaly Detection Based on Quadratic Multiform Separation—0
Semi-Supervised Anomaly Detection for the Determination of Vehicle Hijacking Tweets—0
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs—0
Semi-Supervised Health Index Monitoring with Feature Generation and Fusion—0
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch—0
Toward Supervised Anomaly Detection—0
Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SS-Model + WS-Model + Sultani et al.AUC0.85—Unverified
2SS-ModelAUC0.82—Unverified
3LSTM-AEAUC0.54—Unverified
4s2-VAEAUC0.54—Unverified