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 15511600 of 4856 papers

TitleStatusHype
Guarding the Grid: Enhancing Resilience in Automated Residential Demand Response Against False Data Injection Attacks0
An Incremental Unified Framework for Small Defect InspectionCode1
Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized MeasurementsCode0
Efficient Representation of the Activation Space in Deep Neural Networks0
GenDet: Towards Good Generalizations for AI-Generated Image DetectionCode2
Meta-survey on outlier and anomaly detectionCode0
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection0
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
Unsupervised KPIs-Based Clustering of Jobs in HPC Data Centers0
Detecting Contextual Network Anomalies with Graph Neural Networks0
DiAD: A Diffusion-based Framework for Multi-class Anomaly DetectionCode2
QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building DetectionCode1
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection0
Physics-Informed Convolutional Autoencoder for Cyber Anomaly Detection in Power Distribution Grids0
Adversarial Denoising Diffusion Model for Unsupervised Anomaly Detection0
An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything0
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIsCode1
Data-Driven Semi-Supervised Machine Learning with Safety Indicators for Abnormal Driving Behavior Detection0
Detection and Imputation based Two-Stage Denoising Diffusion Power System Measurement Recovery under Cyber-Physical Uncertainties0
A brief introduction to a framework named Multilevel Guidance-Exploration NetworkCode0
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning0
Multimodal Industrial Anomaly Detection by Crossmodal Feature MappingCode1
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection0
Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-based RAN Optimization0
Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Advanced Manufacturing0
Semi-Supervised Health Index Monitoring with Feature Generation and Fusion0
A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis0
A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems0
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity MappingCode0
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly DetectionCode1
Few-Shot Anomaly Detection with Adversarial Loss for Robust Feature Representations0
EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series0
OCGEC: One-class Graph Embedding Classification for DNN Backdoor DetectionCode0
Dynamic Erasing Network Based on Multi-Scale Temporal Features for Weakly Supervised Video Anomaly DetectionCode0
From Lab to Field: Real-World Evaluation of an AI-Driven Smart Video Solution to Enhance Community Safety0
Unsupervised Anomaly Detection using Aggregated Normative DiffusionCode1
Anomaly Detection Under Uncertainty Using Distributionally Robust Optimization Approach0
Revisiting Non-separable Binary Classification and its Applications in Anomaly DetectionCode0
ADT: Agent-based Dynamic Thresholding for Anomaly Detection0
Bagged Regularized k-Distances for Anomaly Detection0
Eliciting Latent Knowledge from Quirky Language ModelsCode1
Online Anomaly Detection over Live Social Video Streaming0
Anomaly Detection via Learning-Based Sequential Controlled Sensing0
Unsupervised textile defect detection using convolutional neural networks0
Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly Detection0
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly DetectionCode0
Diagnostics Using Nuclear Plant Cyber Attack Analysis Toolkit0
Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis0
Fast Particle-based Anomaly Detection Algorithm with Variational AutoencoderCode0
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach0
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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