SOTAVerified

Anomaly Detection

Anomaly Detection is a binary classification identifying unusual or unexpected patterns in a dataset, which deviate significantly from the majority of the data. The goal of anomaly detection is to identify such anomalies, which could represent errors, fraud, or other types of unusual events, and flag them for further investigation.

[Image source]: GAN-based Anomaly Detection in Imbalance Problems

Papers

Showing 24762500 of 4856 papers

TitleStatusHype
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal FeaturesCode0
Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis0
Representation Learning in Anomaly Detection: Successes, Limits and a Grand Challenge0
FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation0
Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities0
Refining the Optimization Target for Automatic Univariate Time Series Anomaly Detection in Monitoring Services0
Matrix Profile based Anomaly Detection in Streaming Gait Data for Fall Prevention0
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray0
Anomaly Detection with Selective Dictionary LearningCode0
LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection0
Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations0
Custom DNN using Reward Modulated Inverted STDP Learning for Temporal Pattern Recognition0
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations0
BiGSeT: Binary Mask-Guided Separation Training for DNN-based Hyperspectral Anomaly DetectionCode0
DSV: An Alignment Validation Loss for Self-supervised Outlier Model SelectionCode0
Weakly supervised marine animal detection from remote sensing images using vector-quantized variational autoencoder0
Unsupervised Learning of Distributional Properties can Supplement Human Labeling and Increase Active Learning Efficiency in Anomaly Detection0
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.00
Visualization for Multivariate Gaussian Anomaly Detection in Images0
Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification0
Unveiling the Invisible: Enhanced Detection and Analysis of Deteriorated Areas in Solar PV Modules Using Unsupervised Sensing Algorithms and 3D Augmented Reality0
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions0
Temporal Graphs Anomaly Emergence Detection: Benchmarking For Social Media Interactions0
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection0
Restricted Generative Projection for One-Class Classification and Anomaly Detection0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPR-faster(TensorRT)FPS1,016Unverified
2CPR-fast(TensorRT)FPS362Unverified
3CPR(TensorRT)FPS130Unverified
4GLASSDetection AUROC99.9Unverified
5UniNetDetection AUROC99.9Unverified
6HETMMDetection AUROC99.8Unverified
7INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8Unverified
8EfficientAD (early stopping)Detection AUROC99.8Unverified
9DDADDetection AUROC99.8Unverified
10PBASDetection AUROC99.8Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8Unverified
2GLADDetection AUROC99.5Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15Unverified
4INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9Unverified
5DDADDetection AUROC98.9Unverified
6Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9Unverified
7DiffusionADDetection AUROC98.8Unverified
8GLASSDetection AUROC98.8Unverified
9TransFusionDetection AUROC98.7Unverified
10HETMMDetection AUROC98.1Unverified
#ModelMetricClaimedVerifiedStatus
1CSADAvg. Detection AUROC95.3Unverified
2PSADAvg. Detection AUROC94.9Unverified