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 17011750 of 4856 papers

TitleStatusHype
Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume0
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose TokenizationCode0
AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection0
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models0
Channel-wise Influence: Estimating Data Influence for Multivariate Time Series0
Variational autoencoder-based neural network model compression0
SPICED: Syntactical Bug and Trojan Pattern Identification in A/MS Circuits using LLM-Enhanced Detection0
Temporal Divide-and-Conquer Anomaly Actions Localization in Semi-Supervised Videos with Hierarchical Transformer0
AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning with Only Normal SamplesCode0
SHEDAD: SNN-Enhanced District Heating Anomaly Detection for Urban Substations0
Multi-Normal Prototypes Learning for Weakly Supervised Anomaly DetectionCode0
Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control0
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization0
Explainable Anomaly Detection: Counterfactual driven What-If Analysis0
Physics-Driven AI Correction in Laser Absorption Sensing Quantification0
Distributional Drift Detection in Medical Imaging with Sketching and Fine-Tuned Transformer0
Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment PerspectiveCode0
HELP: Hierarchical Embeddings-based Log Parsing0
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection0
Impact of Inaccurate Contamination Ratio on Robust Unsupervised Anomaly Detection0
Latent Anomaly Detection Through Density Matrices0
RW-NSGCN: A Robust Approach to Structural Attacks via Negative Sampling0
Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection0
Investigation of unsupervised and supervised hyperspectral anomaly detection0
Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts0
Hi-SAM: A high-scalable authentication model for satellite-ground Zero-Trust system using mean field game0
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs0
Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering0
What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised HorizonCode0
Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing0
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model0
Performance Metric for Multiple Anomaly Score Distributions with Discrete Severity LevelsCode0
Hybrid Efficient Unsupervised Anomaly Detection for Early Pandemic Case Identification0
Cross-Domain Learning for Video Anomaly Detection with Limited Supervision0
The Role and Applications of Airport Digital Twin in Cyberattack Protection during the Generative AI Era0
Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection0
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data0
Anomaly Prediction: A Novel Approach with Explicit Delay and Horizon0
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive LearningCode0
Cluster-Wide Task Slowdown Detection in Cloud SystemCode0
Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion0
Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection0
Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models0
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions0
Online Electric Vehicle Charging Detection Based on Memory-based Transformer using Smart Meter Data0
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly DetectionCode0
Can LLMs Serve As Time Series Anomaly Detectors?0
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-SeriesCode0
Operational range bounding of spectroscopy models with anomaly detection0
AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing PipelinesCode0
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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
6INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8Unverified
7DDADDetection AUROC99.8Unverified
8EfficientAD (early stopping)Detection AUROC99.8Unverified
9PBASDetection AUROC99.8Unverified
10HETMMDetection AUROC99.8Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8Unverified
2GLADDetection AUROC99.5Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15Unverified
4DDADDetection AUROC98.9Unverified
5Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9Unverified
6INP-Former ViT-B (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