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 1001–1050 of 4856 papers

TitleStatusHype
Synthetic Time Series for Anomaly Detection in Cloud Microservices—0
Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound—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
A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos—0
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted FeaturesCode2
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
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly DetectionCode0
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentationCode2
An Agglomerative Clustering of Simulation Output Distributions Using Regularized Wasserstein Distance—0
Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication—0
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
Learning Multi-view Anomaly Detection—0
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited DataCode0
Omni-Dimensional Frequency Learner for General Time Series Analysis—0
An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetation—0
R3D-AD: Reconstruction via Diffusion for 3D Anomaly DetectionCode1
Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold—0
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language ModelsCode2
A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation—0
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature LearningCode0
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning—0
Unsupervised Anomaly Detection Using Diffusion Trend Analysis—0
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and LocalizationCode3
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
Federated PCA on Grassmann Manifold for IoT Anomaly DetectionCode1
Comparison of Optimizers for Fault Isolation and Diagnostics of Control Rod Drives—0
F2PAD: A General Optimization Framework for Feature-Level to Pixel-Level Anomaly Detection—0
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing MonitoringCode0
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
Integrating Ontology Design with the CRISP-DM in the context of Cyber-Physical Systems Maintenance—0
PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision—0
neuralGAM: Explainable generalized additive neural networks with independent neural network trainingCode0
ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access NetworksCode1
Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection SimplifiedCode0
Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks—0
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning—0
CAV-AD: A Robust Framework for Detection of Anomalous Data and Malicious Sensors in CAV Networks—0
SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detection—0
Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video DatasetCode1
Machine Learning for Complex Systems with Abnormal Pattern by Exception Maximization Outlier Detection Method—0
Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly DetectionCode0
Support Vector Based Anomaly Detection in Federated Learning—0
Looking for Tiny Defects via Forward-Backward Feature Transfer—0
Seamless Monitoring of Stress Levels Leveraging a Universal Model for Time SequencesCode0
Show:102550
← PrevPage 21 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