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 751800 of 4856 papers

TitleStatusHype
Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device FailureCode1
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor DetectionCode1
An Attribute-based Method for Video Anomaly DetectionCode1
Dual‑detector Re‑optimization for Federated Weakly Supervised Video Anomaly Detection Via Adaptive Dynamic Recursive MappingCode1
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly DetectionCode1
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical imagesCode1
Attention-based residual autoencoder for video anomaly detectionCode1
Dual-path Frequency Discriminators for Few-shot Anomaly DetectionCode1
A Comprehensive Survey of Regression Based Loss Functions for Time Series ForecastingCode1
Dynamic Distinction Learning: Adaptive Pseudo Anomalies for Video Anomaly DetectionCode1
Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and AlgorithmsCode1
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT SystemsCode1
R3D-AD: Reconstruction via Diffusion for 3D Anomaly DetectionCode1
RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly DetectionCode1
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution FunctionsCode1
Rail Detection: An Efficient Row-based Network and A New BenchmarkCode1
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization ApproachCode1
Eliciting Latent Knowledge from Quirky Language ModelsCode1
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal ImagesCode1
Real-Time Anomaly Detection in Edge StreamsCode1
Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile RobotsCode1
Energy TransformerCode1
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly DetectionCode1
Reconstruction by Inpainting for Visual Anomaly DetectionCode1
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time SeriesCode1
Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep LearningCode1
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case StudyCode1
A Principled Approach to Enriching Security-related Data for Running Processes through Statistics and Natural Language ProcessingCode1
InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV ImagesCode1
[Re] Learning Memory Guided Normality for Anomaly DetectionCode1
Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and MonitoringCode1
Informative knowledge distillation for image anomaly segmentationCode1
SQUID: Deep Feature In-Painting for Unsupervised Anomaly DetectionCode1
Incorporating Feedback into Tree-based Anomaly DetectionCode1
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly DetectionCode1
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale ReconstructionCode1
ARCADe: A Rapid Continual Anomaly DetectorCode1
ARC: A Generalist Graph Anomaly Detector with In-Context LearningCode1
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly BenchmarkCode1
RoBiS: Robust Binary Segmentation for High-Resolution Industrial ImagesCode1
Explainable Deep One-Class ClassificationCode1
Root Cause Detection Among Anomalous Time Series Using Temporal State AlignmentCode1
SAD: Semi-Supervised Anomaly Detection on Dynamic GraphsCode1
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing FlowsCode1
Inpainting Transformer for Anomaly DetectionCode1
Experience Report: Deep Learning-based System Log Analysis for Anomaly DetectionCode1
Segmentation-Based Deep-Learning Approach for Surface-Defect DetectionCode1
Explainable Time Series Anomaly Detection using Masked Latent Generative ModelingCode1
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly DetectionCode1
IPMix: Label-Preserving Data Augmentation Method for Training Robust ClassifiersCode1
Show:102550
← PrevPage 16 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPR-faster(TensorRT)FPS1,016Unverified
2CPR-fast(TensorRT)FPS362Unverified
3CPR(TensorRT)FPS130Unverified
4GLASSDetection AUROC99.9Unverified
5UniNetDetection AUROC99.9Unverified
6HETMMDetection AUROC99.8Unverified
7INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8Unverified
8EfficientAD (early stopping)Detection AUROC99.8Unverified
9DDADDetection AUROC99.8Unverified
10PBASDetection AUROC99.8Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8Unverified
2GLADDetection AUROC99.5Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15Unverified
4INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9Unverified
5DDADDetection AUROC98.9Unverified
6Dinomaly ViT-L (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