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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 326–350 of 4856 papers

TitleStatusHype
Time-EAPCR: A Deep Learning-Based Novel Approach for Anomaly Detection Applied to the Environmental Field—0
STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive ApplicationsCode1
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
Probabilistic Segmentation for Robust Field of View Estimation—0
ECNN: A Low-complex, Adjustable CNN for Industrial Pump Monitoring Using Vibration Data—0
Learning Decision Trees as Amortized Structure InferenceCode1
AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIPCode3
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba ModelsCode0
Task-Oriented Connectivity for Networked Robotics with Generative AI and Semantic Communications—0
Accurate and Efficient Two-Stage Gun Detection in Video—0
Video Anomaly Detection with Structured KeywordsCode0
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature PerturbationCode0
Spectral-Spatial Extraction through Layered Tensor Decomposition for Hyperspectral Anomaly Detection—0
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects—0
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLMCode2
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searchesCode0
UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security—0
Unsupervised anomaly detection on cybersecurity data streams: a case with BETH dataset—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
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning—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
6INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8—Unverified
7DDADDetection AUROC99.8—Unverified
8EfficientAD (early stopping)Detection AUROC99.8—Unverified
9PBASDetection AUROC99.8—Unverified
10HETMMDetection AUROC99.8—Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8—Unverified
2GLADDetection AUROC99.5—Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15—Unverified
4DDADDetection AUROC98.9—Unverified
5Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9—Unverified
6INP-Former ViT-B (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