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 351–400 of 4856 papers

TitleStatusHype
Explainable Time Series Anomaly Detection using Masked Latent Generative ModelingCode1
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationCode1
LogLead -- Fast and Integrated Log Loader, Enhancer, and Anomaly DetectorCode1
Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain SolutionCode1
TransFusion -- A Transparency-Based Diffusion Model for Anomaly DetectionCode1
SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial DefectsCode1
RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level informationCode1
The voraus-AD Dataset for Anomaly Detection in Robot ApplicationsCode1
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor DetectionCode1
Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the LeadCode1
GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly DetectionCode1
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case StudyCode1
Holistic Representation Learning for Multitask Trajectory Anomaly DetectionCode1
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth SimulationCode1
Time Series Anomaly Detection using Diffusion-based ModelsCode1
InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV ImagesCode1
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly DetectionCode1
Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly ScoresCode1
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly DetectionCode1
Towards Self-Interpretable Graph-Level Anomaly DetectionCode1
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly DetectionCode1
FLTracer: Accurate Poisoning Attack Provenance in Federated LearningCode1
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly DetectionCode1
A Multi-Scale Decomposition MLP-Mixer for Time Series AnalysisCode1
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly DetectionCode1
TRANSOM: An Efficient Fault-Tolerant System for Training LLMsCode1
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly DetectionCode1
Learning a Cross-modality Anomaly Detector for Remote Sensing ImageryCode1
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series PretrainingCode1
A Discrepancy Aware Framework for Robust Anomaly DetectionCode1
IPMix: Label-Preserving Data Augmentation Method for Training Robust ClassifiersCode1
Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice SystemCode1
T-Rep: Representation Learning for Time Series using Time-EmbeddingsCode1
Delving into CLIP latent space for Video Anomaly RecognitionCode1
Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly DetectionCode1
ADGym: Design Choices for Deep Anomaly DetectionCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
LogGPT: Log Anomaly Detection via GPTCode1
NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series ImagingCode1
Real3D-AD: A Dataset of Point Cloud Anomaly DetectionCode1
On Data Fabrication in Collaborative Vehicular Perception: Attacks and CountermeasuresCode1
Two-stage coarse-to-fine image anomaly segmentation and detection modelCode1
LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic DataCode1
FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly DetectionCode1
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive LearningCode1
GLAD: Content-aware Dynamic Graphs For Log Anomaly DetectionCode1
TSGBench: Time Series Generation BenchmarkCode1
A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection TechniquesCode1
MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain TestingCode1
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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