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

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Showing 1151–1200 of 4856 papers

TitleStatusHype
Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge DistillationCode0
Anomaly Detection for Hybrid Butterfly Subspecies via Probability FilteringCode0
What is AI, what is it not, how we use it in physics and how it impacts... you—0
Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection—0
Unleashing the Power of Pre-trained Encoders for Universal Adversarial Attack Detection—0
GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications Using Graph Attention Networks—0
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip StatisticsCode0
Enhancing Time Series Forecasting with Fuzzy Attention-Integrated TransformersCode0
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series ForecastingCode0
Federated Structured Sparse PCA for Anomaly Detection in IoT Networks—0
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly DetectionCode0
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous DomainsCode0
A Dataset for Semantic Segmentation in the Presence of Unknowns—0
AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis—0
iMedImage Technical Report—0
LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions—0
Adaptive State-Space Mamba for Real-Time Sensor Data Anomaly Detection—0
Channel impulse response peak clustering using neural networks—0
Refining Time Series Anomaly Detectors using Large Language Models—0
β-GNN: A Robust Ensemble Approach Against Graph Structure PerturbationCode0
Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks—0
Post-Hoc Calibrated Anomaly Detection—0
Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants—0
Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics—0
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated DataCode0
CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos—0
Anomaly Detection and Localization for Speech Deepfakes via Feature Pyramid Matching—0
GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space ModelCode0
Anomize: Better Open Vocabulary Video Anomaly Detection—0
Assessing workflow impact and clinical utility of AI-assisted brain aneurysm detection: a multi-reader study—0
Bayesian generative models can flag performance loss, bias, and out-of-distribution image content—0
TRACE: Time SeRies PArameter EffiCient FinE-tuning—0
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-series—0
Multivariate Time Series Anomaly Detection in Industry 5.0—0
A multi-model approach using XAI and anomaly detection to predict asteroid hazards—0
Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large Infrastructures—0
FetalFlex: Anatomy-Guided Diffusion Model for Flexible Control on Fetal Ultrasound Image Synthesis—0
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging InfrastructureCode0
Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift—0
LogLLaMA: Transformer-based log anomaly detection with LLaMA—0
Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection—0
Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly DetectionCode0
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models—0
U2AD: Uncertainty-based Unsupervised Anomaly Detection Framework for Detecting T2 Hyperintensity in MRI Spinal CordCode0
Enforcing Cybersecurity Constraints for LLM-driven Robot Agents for Online Transactions—0
MFP-CLIP: Exploring the Efficacy of Multi-Form Prompts for Zero-Shot Industrial Anomaly Detection—0
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly DetectionCode0
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph LearningCode0
Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments—0
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection—0
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All datasetsMVTec ADVisAMVTec LOCO ADOne-class CIFAR-10CUHK AvenueShanghaiTechFishyscapes L&FUCR Anomaly ArchiveMPDDBTADOne-class CIFAR-100UBnormal

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPR-faster(TensorRT)FPS1,016—Unverified
2CPR-fast(TensorRT)FPS362—Unverified
3CPR(TensorRT)FPS130—Unverified
4GLASSDetection AUROC99.9—Unverified
5UniNetDetection AUROC99.9—Unverified
6HETMMDetection AUROC99.8—Unverified
7INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8—Unverified
8EfficientAD (early stopping)Detection AUROC99.8—Unverified
9DDADDetection AUROC99.8—Unverified
10PBASDetection AUROC99.8—Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8—Unverified
2GLADDetection AUROC99.5—Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15—Unverified
4INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9—Unverified
5DDADDetection AUROC98.9—Unverified
6Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9—Unverified
7DiffusionADDetection AUROC98.8—Unverified
8GLASSDetection AUROC98.8—Unverified
9TransFusionDetection AUROC98.7—Unverified
10HETMMDetection AUROC98.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CSADAvg. Detection AUROC95.3—Unverified
2PSADAvg. Detection AUROC94.9—Unverified