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 31013150 of 4856 papers

TitleStatusHype
WiFi Motion Detection: A Study into Efficacy and Classification0
Wireless Sensor Networks anomaly detection using Machine Learning: A Survey0
Wisdom of the Contexts: Active Ensemble Learning for Contextual Anomaly Detection0
Words as Geometric Features: Estimating Homography using Optical Character Recognition as Compressed Image Representation0
World Models for Anomaly Detection during Model-Based Reinforcement Learning Inference0
WRT-SAM: Foundation Model-Driven Segmentation for Generalized Weld Radiographic Testing0
WSCIF: A Weakly-Supervised Color Intelligence Framework for Tactical Anomaly Detection in Surveillance Keyframes0
X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning0
XAI-guided Insulator Anomaly Detection for Imbalanced Datasets0
X-MAN: Explaining multiple sources of anomalies in video0
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection0
Ymir: A Supervised Ensemble Framework for Multivariate Time Series Anomaly Detection0
You May Need both Good-GAN and Bad-GAN for Anomaly Detection0
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray0
Zen: LSTM-based generation of individual spatiotemporal cellular traffic with interactions0
Zero-Episode Few-Shot Contrastive Predictive Coding: Solving intelligence tests without prior training0
Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge0
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models0
Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection0
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things0
0/1 Deep Neural Networks via Block Coordinate Descent0
ZYELL-NCTU NetTraffic-1.0: A Large-Scale Dataset for Real-World Network Anomaly Detection0
1D Convolutional Neural Networks and Applications: A Survey0
Anomaly Detection in Images0
An Adaptive Training-less System for Anomaly Detection in Crowd Scenes0
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans0
Evolutionary Optimization of 1D-CNN for Non-contact Respiration Pattern Classification0
Unsupervised in-distribution anomaly detection of new physics through conditional density estimation0
Synthetic Time Series for Anomaly Detection in Cloud Microservices0
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model0
SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoning0
Operational range bounding of spectroscopy models with anomaly detection0
A Novel Spatiotemporal Correlation Anomaly Detection Method Based on Time-Frequency-Domain Feature Fusion and a Dynamic Graph Neural Network in Wireless Sensor Network0
CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems0
Preference Isolation Forest for Structure-based Anomaly Detection0
Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark0
Fairness-aware Anomaly Detection via Fair Projection0
Recent Advances in Diffusion Models for Hyperspectral Image Processing and Analysis: A Review0
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network0
Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization0
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures0
Trustworthy UAV Cooperative Localization: Information Analysis of Performance and Security0
3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces0
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI0
3DKeyAD: High-Resolution 3D Point Cloud Anomaly Detection via Keypoint-Guided Point Clustering0
3D Masked Autoencoders with Application to Anomaly Detection in Non-Contrast Enhanced Breast MRI0
3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise0
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI0
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos0
A2B-GAN: Utilizing Unannotated Anomalous Images for Anomaly Detection in Medical Image Analysis0
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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
6HETMMDetection AUROC99.8Unverified
7INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8Unverified
8EfficientAD (early stopping)Detection AUROC99.8Unverified
9DDADDetection AUROC99.8Unverified
10PBASDetection AUROC99.8Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8Unverified
2GLADDetection AUROC99.5Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15Unverified
4INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9Unverified
5DDADDetection AUROC98.9Unverified
6Dinomaly ViT-L (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