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 751–800 of 4856 papers

TitleStatusHype
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event SequencesCode1
Memory-augmented Online Video Anomaly DetectionCode1
MemStream: Memory-Based Streaming Anomaly DetectionCode1
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly DetectionCode1
Camouflaged Object DetectionCode1
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly DetectionCode1
An End-to-End Computer Vision Methodology for Quantitative MetallographyCode1
Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncodersCode1
A Comprehensive Survey of Regression Based Loss Functions for Time Series ForecastingCode1
MLography: An Automated Quantitative Metallography Model for Impurities Anomaly Detection using Novel Data Mining and Deep Learning ApproachCode1
Calibrated One-class Classification for Unsupervised Time Series Anomaly DetectionCode1
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly DetectionCode1
Can LLMs Understand Time Series Anomalies?Code1
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic ForecastingCode1
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRICode1
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly DetectionCode1
Building an Automated and Self-Aware Anomaly Detection SystemCode1
Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly DetectionCode1
CableInspect-AD: An Expert-Annotated Anomaly Detection DatasetCode1
Multimodal Industrial Anomaly Detection by Crossmodal Feature MappingCode1
Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile RobotsCode1
Multiresolution Knowledge Distillation for Anomaly DetectionCode1
Multi-scale feature reconstruction network for industrial anomaly detectionCode1
Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry HousesCode1
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time SeriesCode1
Multi Visual Modality Fall Detection DatasetCode1
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection AlgorithmsCode1
A Principled Approach to Enriching Security-related Data for Running Processes through Statistics and Natural Language ProcessingCode1
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly DetectionCode1
Negative Data AugmentationCode1
Networking Systems for Video Anomaly Detection: A Tutorial and SurveyCode1
Neural Contextual Anomaly Detection for Time SeriesCode1
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation MethodsCode1
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment LabelsCode1
Normalizing Flows for Human Pose Anomaly DetectionCode1
Normal Learning in Videos with Attention Prototype NetworkCode1
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionCode1
ARC: A Generalist Graph Anomaly Detector with In-Context LearningCode1
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training ParadigmCode1
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the BoundaryCode1
On Data Fabrication in Collaborative Vehicular Perception: Attacks and CountermeasuresCode1
On Diffusion Modeling for Anomaly DetectionCode1
Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter ViewCode1
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality DetectionCode1
On Root Cause Localization and Anomaly Mitigation through Causal InferenceCode1
Online Anomaly Detection Based On Reservoir Sampling and LOF for IoT devicesCode1
Online Forecasting and Anomaly Detection Based on the ARIMA ModelCode1
Online Isolation ForestCode1
Out-of-Distribution Detection on Graphs: A SurveyCode1
Catching Both Gray and Black Swans: Open-set Supervised Anomaly DetectionCode1
Show:102550
← PrevPage 16 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