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 1201–1225 of 4856 papers

TitleStatusHype
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection—0
Hoi2Anomaly: An Explainable Anomaly Detection Approach Guided by Human-Object Interaction—0
G^2SF-MIAD: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection—0
Time-EAPCR: A Deep Learning-Based Novel Approach for Anomaly Detection Applied to the Environmental Field—0
A systematic literature review of unsupervised learning algorithms for anomalous traffic detection based on flows—0
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph—0
Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos—0
ECNN: A Low-complex, Adjustable CNN for Industrial Pump Monitoring Using Vibration Data—0
Probabilistic Segmentation for Robust Field of View Estimation—0
Task-Oriented Connectivity for Networked Robotics with Generative AI and Semantic Communications—0
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba ModelsCode0
Accurate and Efficient Two-Stage Gun Detection in Video—0
Video Anomaly Detection with Structured KeywordsCode0
Spectral-Spatial Extraction through Layered Tensor Decomposition for Hyperspectral Anomaly Detection—0
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature PerturbationCode0
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects—0
Unsupervised anomaly detection on cybersecurity data streams: a case with BETH dataset—0
UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security—0
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searchesCode0
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning—0
DeepGrav: Anomalous Gravitational-Wave Detection Through Deep Latent FeaturesCode0
Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions—0
Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection—0
AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates—0
Network Anomaly Detection for IoT Using Hyperdimensional Computing on NSL-KDD—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