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 751775 of 4856 papers

TitleStatusHype
ADNet: Temporal Anomaly Detection in Surveillance VideosCode1
A Survey of Visual Sensory Anomaly DetectionCode1
Camouflaged Object DetectionCode1
MemStream: Memory-Based Streaming Anomaly DetectionCode1
Meta-AAD: Active Anomaly Detection with Deep Reinforcement LearningCode1
Can Multimodal LLMs Perform Time Series Anomaly Detection?Code1
An End-to-End Computer Vision Methodology for Quantitative MetallographyCode1
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity MicrocontrollersCode1
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality DetectionCode1
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detectionCode1
MLPerf Tiny BenchmarkCode1
CableInspect-AD: An Expert-Annotated Anomaly Detection DatasetCode1
Calibrated One-class Classification for Unsupervised Time Series Anomaly DetectionCode1
Morphology-preserving Autoregressive 3D Generative Modelling of the BrainCode1
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal ImagingCode1
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRICode1
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly DetectionCode1
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionCode1
Multi-Modal Anomaly Detection for Unstructured and Uncertain EnvironmentsCode1
Multimodal Detection of Unknown Objects on Roads for Autonomous DrivingCode1
Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile RobotsCode1
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly DetectionCode1
Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry HousesCode1
Multi-scale feature reconstruction network for industrial anomaly detectionCode1
Building an Automated and Self-Aware Anomaly Detection SystemCode1
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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
6INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8Unverified
7DDADDetection AUROC99.8Unverified
8EfficientAD (early stopping)Detection AUROC99.8Unverified
9PBASDetection AUROC99.8Unverified
10HETMMDetection AUROC99.8Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8Unverified
2GLADDetection AUROC99.5Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15Unverified
4DDADDetection AUROC98.9Unverified
5Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9Unverified
6INP-Former ViT-B (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