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 1101–1125 of 4856 papers

TitleStatusHype
Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided MaskCode1
Model Evaluation and Anomaly Detection in Temporal Complex Networks using Deep Learning Methods—0
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of AugmentationCode0
VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMsCode1
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System TelemetryCode0
Weakly-supervised anomaly detection for multimodal data distributions—0
Cross-Modal Learning for Anomaly Detection in Complex Industrial Process: Methodology and BenchmarkCode1
Few-Shot Anomaly Detection via Category-Agnostic Registration LearningCode1
Anomaly Detection Utilizing a Riemann Metric for Robust Myoelectric Pattern Recognition—0
Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection—0
RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly DetectionCode1
Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection—0
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly DetectionCode2
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving—0
fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection LibraryCode0
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving—0
RAPID: Robust APT Detection and Investigation Using Context-Aware Deep Learning—0
VisionAD, a software package of performant anomaly detection algorithms, and Proportion Localised, an interpretable metricCode0
Higher-order Structure Based Anomaly Detection on Attributed Networks—0
Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection—0
A Recover-then-Discriminate Framework for Robust Anomaly Detection—0
GANetic Loss for Generative Adversarial Networks with a Focus on Medical ApplicationsCode0
Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization—0
LogiCode: an LLM-Driven Framework for Logical Anomaly DetectionCode1
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions—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