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 3126–3150 of 4856 papers

TitleStatusHype
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans—0
Evolutionary Optimization of 1D-CNN for Non-contact Respiration Pattern Classification—0
Unsupervised in-distribution anomaly detection of new physics through conditional density estimation—0
Synthetic Time Series for Anomaly Detection in Cloud Microservices—0
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model—0
SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoning—0
Operational range bounding of spectroscopy models with anomaly detection—0
A Novel Spatiotemporal Correlation Anomaly Detection Method Based on Time-Frequency-Domain Feature Fusion and a Dynamic Graph Neural Network in Wireless Sensor Network—0
CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems—0
Preference Isolation Forest for Structure-based Anomaly Detection—0
Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark—0
Fairness-aware Anomaly Detection via Fair Projection—0
Recent Advances in Diffusion Models for Hyperspectral Image Processing and Analysis: A Review—0
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network—0
Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization—0
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures—0
Trustworthy UAV Cooperative Localization: Information Analysis of Performance and Security—0
3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces—0
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI—0
3DKeyAD: High-Resolution 3D Point Cloud Anomaly Detection via Keypoint-Guided Point Clustering—0
3D Masked Autoencoders with Application to Anomaly Detection in Non-Contrast Enhanced Breast MRI—0
3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise—0
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI—0
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos—0
A2B-GAN: Utilizing Unannotated Anomalous Images for Anomaly Detection in Medical Image Analysis—0
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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