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 1201–1250 of 4856 papers

TitleStatusHype
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection—0
G^2SF-MIAD: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection—0
Hoi2Anomaly: An Explainable Anomaly Detection Approach Guided by Human-Object Interaction—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
ECNN: A Low-complex, Adjustable CNN for Industrial Pump Monitoring Using Vibration Data—0
Probabilistic Segmentation for Robust Field of View Estimation—0
Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos—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
Spectral-Spatial Extraction through Layered Tensor Decomposition for Hyperspectral Anomaly Detection—0
Video Anomaly Detection with Structured KeywordsCode0
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature PerturbationCode0
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searchesCode0
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
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects—0
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning—0
DeepGrav: Anomalous Gravitational-Wave Detection Through Deep Latent FeaturesCode0
Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection—0
Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions—0
AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates—0
X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning—0
World Models for Anomaly Detection during Model-Based Reinforcement Learning Inference—0
Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection—0
RAAD-LLM: Adaptive Anomaly Detection Using LLMs and RAG Integration—0
Anomaly detection in non-stationary videos using time-recursive differencing network based prediction—0
Network Anomaly Detection for IoT Using Hyperdimensional Computing on NSL-KDD—0
PA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness—0
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator InterestCode0
Meta Learning-Driven Iterative Refinement for Robust Anomaly Detection in Industrial Inspection—0
Building Machine Learning Challenges for Anomaly Detection in Science—0
Language-Assisted Feature Transformation for Anomaly DetectionCode0
Fence Theorem: Preprocessing is Dual-Objective Semantic Structure Isolator in 3D Anomaly Detection—0
CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems—0
Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly Detection in Videos—0
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition—0
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection—0
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity—0
Detection of anomalies in cow activity using wavelet transform based features—0
Detecting Crypto Pump-and-Dump Schemes: A Thresholding-Based Approach to Handling Market Noise—0
Discovering Antagonists in Networks of Systems: Robot DeploymentCode0
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement—0
Retrieval Augmented Anomaly Detection (RAAD): Nimble Model Adjustment Without Retraining—0
HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection—0
A Radon-Nikodým Perspective on Anomaly Detection: Theory and Implications—0
From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based AlgorithmsCode0
Identification and Characterization for Disruptions in the U.S. National Airspace System (NAS)—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