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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1751–1800 of 4856 papers

TitleStatusHype
SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoning—0
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model—0
Individualized multi-horizon MRI trajectory prediction for Alzheimer's DiseaseCode0
Online Detection of Anomalies in Temporal Knowledge Graphs with InterpretabilityCode0
Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling—0
Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT—0
Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models—0
Anomalous State Sequence Modeling to Enhance Safety in Reinforcement Learning—0
Foundations for Unfairness in Anomaly Detection -- Case Studies in Facial Imaging Data—0
Can I trust my anomaly detection system? A case study based on explainable AICode0
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection—0
Textile Anomaly Detection: Evaluation of the State-of-the-Art for Automated Quality Inspection of Carpet—0
Separating Novel Features for Logical Anomaly Detection: A Straightforward yet Effective Approach—0
Global Confidence Degree Based Graph Neural Network for Financial Fraud Detection—0
Looking at Model Debiasing through the Lens of Anomaly DetectionCode0
When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection—0
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context LearningCode0
Hyperbolic embedding of brain networks detects regions disrupted by neurodegeneration in Alzheimer's disease—0
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier SynthesisCode0
Bidirectional skip-frame prediction for video anomaly detection with intra-domain disparity-driven attention—0
Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound—0
Synthetic Time Series for Anomaly Detection in Cloud Microservices—0
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach—0
TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision—0
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection—0
Enhancing Wrist Fracture Detection with YOLOCode0
In-Situ Infrared Camera Monitoring for Defect and Anomaly Detection in Laser Powder Bed Fusion: Calibration, Data Mapping, and Feature Extraction—0
A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos—0
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly DetectionCode0
Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication—0
Learning Multi-view Anomaly Detection—0
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited DataCode0
The object detection method aids in image reconstruction evaluation and clinical interpretation of meniscal abnormalities—0
Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty DetectionCode0
An Agglomerative Clustering of Simulation Output Distributions Using Regularized Wasserstein Distance—0
An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetation—0
Omni-Dimensional Frequency Learner for General Time Series Analysis—0
Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold—0
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature LearningCode0
A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation—0
Unsupervised Anomaly Detection Using Diffusion Trend Analysis—0
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning—0
Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation—0
Real-Time Anomaly Detection and Reactive Planning with Large Language Models—0
Integrating Ontology Design with the CRISP-DM in the context of Cyber-Physical Systems Maintenance—0
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly DetectionCode0
TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series DataCode0
F2PAD: A General Optimization Framework for Feature-Level to Pixel-Level Anomaly Detection—0
PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision—0
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing MonitoringCode0
Show:102550
← PrevPage 36 of 98Next →
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