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 751–800 of 4856 papers

TitleStatusHype
Mixed supervision for surface-defect detection: from weakly to fully supervised learningCode1
DATE: Detecting Anomalies in Text via Self-Supervision of TransformersCode1
A Principled Approach to Enriching Security-related Data for Running Processes through Statistics and Natural Language ProcessingCode1
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detectionCode1
CutPaste: Self-Supervised Learning for Anomaly Detection and LocalizationCode1
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoTCode1
MIST: Multiple Instance Self-Training Framework for Video Anomaly DetectionCode1
Online Forecasting and Anomaly Detection Based on the ARIMA ModelCode1
Self-supervised learning for tool wear monitoring with a disentangled-variational-autoencoderCode1
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoTCode1
Neural Transformation Learning for Deep Anomaly Detection Beyond ImagesCode1
SSD: A Unified Framework for Self-Supervised Outlier DetectionCode1
Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledgeCode1
Pixel-wise Anomaly Detection in Complex Driving ScenesCode1
Student-Teacher Feature Pyramid Matching for Anomaly DetectionCode1
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical ImagesCode1
Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and AlgorithmsCode1
A Body Part Embedding Model With Datasets for Measuring 2D Human Motion SimilarityCode1
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised LearningCode1
SliceNStitch: Continuous CP Decomposition of Sparse Tensor StreamsCode1
Few-shot Network Anomaly Detection via Cross-network Meta-learningCode1
Negative Data AugmentationCode1
Clustered Hierarchical Anomaly and Outlier Detection AlgorithmsCode1
[Re] Learning Memory Guided Normality for Anomaly DetectionCode1
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude LearningCode1
Deep One-Class Classification via Interpolated Gaussian DescriptorCode1
Iterative weak/self-supervised classification framework for abnormal events detectionCode1
Road Anomaly Detection by Partial Image Reconstruction With Segmentation CouplingCode1
Unsupervised Anomaly Detection by Robust Collaborative AutoencodersCode1
DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly DetectionCode1
Dynamic Graph-Based Anomaly Detection in the Electrical GridCode1
Graph Convolutional Networks for traffic anomalyCode1
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge GraphsCode1
Multi-Modal Anomaly Detection for Unstructured and Uncertain EnvironmentsCode1
GAN Ensemble for Anomaly DetectionCode1
DFR: Deep Feature Reconstruction for Unsupervised Anomaly SegmentationCode1
Intrinsic persistent homology via density-based metric learningCode1
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly DetectionCode1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG ClassificationCode1
HRN: A Holistic Approach to One Class LearningCode1
Time Series Change Point Detection with Self-Supervised Contrastive Predictive CodingCode1
Unsupervised anomaly segmentation via deep feature reconstructionCode1
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged ApproachCode1
Multiresolution Knowledge Distillation for Anomaly DetectionCode1
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and LocalizationCode1
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
Anomaly Detection in Video via Self-Supervised and Multi-Task LearningCode1
Building an Automated and Self-Aware Anomaly Detection SystemCode1
F-FADE: Frequency Factorization for Anomaly Detection in Edge StreamsCode1
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier ExamplesCode1
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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