SOTAVerified

Semi-supervised Anomaly Detection

Papers

Showing 2650 of 76 papers

TitleStatusHype
Abnormal Event Detection in Videos using Spatiotemporal AutoencoderCode0
Learning Temporal Regularity in Video SequencesCode0
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial NetworksCode0
Machine learning-based identification of Gaia astrometric exoplanet orbitsCode0
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly DetectionCode0
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on AnomaliesCode0
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly ScoresCode0
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
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled DataCode0
SADDE: Semi-supervised Anomaly Detection with Dependable ExplanationsCode0
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-raysCode0
Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks0
Using Channel State Information for Physical Tamper Attack Detection in OFDM Systems: A Deep Learning Approach0
Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection0
Abnormal Event Detection in Videos using Generative Adversarial Nets0
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods0
AGAD: Adversarial Generative Anomaly Detection0
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices0
Anomaly Detection in File Fragment Classification of Image File Formats0
Anomaly Detection with Domain Adaptation0
AnoRand: A Semi Supervised Deep Learning Anomaly Detection Method by Random Labeling0
Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large Infrastructures0
BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection0
Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network0
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Benchmark Results

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