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 351400 of 4856 papers

TitleStatusHype
X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning0
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly DetectionCode3
Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection0
Anomaly detection in non-stationary videos using time-recursive differencing network based prediction0
World Models for Anomaly Detection during Model-Based Reinforcement Learning Inference0
Network Anomaly Detection for IoT Using Hyperdimensional Computing on NSL-KDD0
RAAD-LLM: Adaptive Anomaly Detection Using LLMs and RAG Integration0
Building Machine Learning Challenges for Anomaly Detection in Science0
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator InterestCode0
Meta Learning-Driven Iterative Refinement for Robust Anomaly Detection in Industrial Inspection0
PA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness0
Language-Assisted Feature Transformation for Anomaly DetectionCode0
Fence Theorem: Preprocessing is Dual-Objective Semantic Structure Isolator in 3D Anomaly Detection0
Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly Detection in Videos0
CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems0
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition0
UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly DetectionCode2
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity0
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection0
Detection of anomalies in cow activity using wavelet transform based features0
Detecting Crypto Pump-and-Dump Schemes: A Thresholding-Based Approach to Handling Market Noise0
One-for-More: Continual Diffusion Model for Anomaly DetectionCode2
Discovering Antagonists in Networks of Systems: Robot DeploymentCode0
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement0
HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection0
Retrieval Augmented Anomaly Detection (RAAD): Nimble Model Adjustment Without Retraining0
A Novel Spatiotemporal Correlation Anomaly Detection Method Based on Time-Frequency-Domain Feature Fusion and a Dynamic Graph Neural Network in Wireless Sensor Network0
Identification and Characterization for Disruptions in the U.S. National Airspace System (NAS)0
Improved YOLOv7x-Based Defect Detection Algorithm for Power Equipment0
Can Multimodal LLMs Perform Time Series Anomaly Detection?Code1
A Radon-Nikodým Perspective on Anomaly Detection: Theory and Implications0
From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based AlgorithmsCode0
A digital eye-fixation biomarker using a deep anomaly scheme to classify Parkisonian patterns0
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly DetectionCode1
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning0
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving0
Machine Learning-Based Cloud Computing Compliance Process Automation0
DiffFake: Exposing Deepfakes using Differential Anomaly Detection0
rECGnition_v2.0: Self-Attentive Canonical Fusion of ECG and Patient Data using deep learning for effective Cardiac Diagnostics0
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly DetectionCode2
Adaptive Sparsified Graph Learning Framework for Vessel Behavior Anomalies0
CyberSentinel: An Emergent Threat Detection System for AI Security0
dtaianomaly: A Python library for time series anomaly detectionCode2
Graph Anomaly Detection via Adaptive Test-time Representation Learning across Out-of-Distribution Domains0
A Synergy Scoring Filter for Unsupervised Anomaly Detection with Noisy Data0
Unlocking Multimodal Integration in EHRs: A Prompt Learning Framework for Language and Time Series Fusion0
Flow-based generative models as iterative algorithms in probability space0
Unsupervised Anomaly Detection through Mass Repulsing Optimal TransportCode0
Anomaly Detection in Smart Power Grids with Graph-Regularized MS-SVDD: a Multimodal Subspace Learning Approach0
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly DetectionCode2
Show:102550
← PrevPage 8 of 98Next →

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