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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 1901–1925 of 4856 papers

Title	Date	Tasks	Status	Hype
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model	Jul 31, 2023	Anomaly DetectionExplainable artificial intelligence	—Unverified	0
Anomaly Detection in Industrial Machinery using IoT Devices and Machine Learning: a Systematic Mapping	Jul 28, 2023	Anomaly Detection	—Unverified	0
Benchmarking Jetson Edge Devices with an End-to-end Video-based Anomaly Detection System	Jul 28, 2023	Anomaly DetectionAutonomous Driving	CodeCode Available	0
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection	Jul 28, 2023	Anomaly DetectionCoLA	—Unverified	0
Generative AI for Medical Imaging: extending the MONAI Framework	Jul 27, 2023	Anomaly DetectionDenoising	CodeCode Available	2
Solving Data Quality Problems with Desbordante: a Demo	Jul 27, 2023	Anomaly DetectionDescriptive	CodeCode Available	2
EasyNet: An Easy Network for 3D Industrial Anomaly Detection	Jul 26, 2023	3D Anomaly DetectionAnomaly Detection	—Unverified	0
Coupled-Space Attacks against Random-Walk-based Anomaly Detection	Jul 26, 2023	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	0
Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis	Jul 26, 2023	Anomaly DetectionObject Tracking	—Unverified	0
Robustness Verification of Deep Neural Networks using Star-Based Reachability Analysis with Variable-Length Time Series Input	Jul 26, 2023	Anomaly DetectionTime Series	CodeCode Available	0
ECG classification using Deep CNN and Gramian Angular Field	Jul 25, 2023	Anomaly DetectionClassification	—Unverified	0
Sobolev Space Regularised Pre Density Models	Jul 25, 2023	Anomaly DetectionDensity Estimation	—Unverified	0
Unmasking Anomalies in Road-Scene Segmentation	Jul 25, 2023	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision	Jul 25, 2023	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	1
Few-shot 1/a Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance	Jul 24, 2023	Anomaly Detectionimage-classification	—Unverified	0
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays	Jul 24, 2023	Anomaly DetectionOne-Class Classification	—Unverified	0
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection	Jul 24, 2023	Anomaly DetectionDefect Detection	CodeCode Available	1
Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model	Jul 24, 2023	Anomaly DetectionRetrieval	CodeCode Available	1
Addressing the Impact of Localized Training Data in Graph Neural Networks	Jul 24, 2023	Anomaly DetectionGraph Generation	CodeCode Available	0
TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models	Jul 23, 2023	Anomaly DetectionDensity Estimation	—Unverified	0
Integration of Domain Expert-Centric Ontology Design into the CRISP-DM for Cyber-Physical Production Systems	Jul 21, 2023	Anomaly Detection	—Unverified	0
Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis	Jul 20, 2023	Anomaly DetectionEnsemble Learning	—Unverified	0
Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities	Jul 20, 2023	Anomaly DetectionEvent Detection	—Unverified	0
Heuristic Hyperparameter Choice for Image Anomaly Detection	Jul 20, 2023	Anomaly DetectionDimensionality Reduction	—Unverified	0
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features	Jul 20, 2023	Anomaly DetectionGraph Attention	CodeCode Available	0

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All datasets MVTec AD VisA MVTec LOCO AD One-class CIFAR-10 CUHK Avenue ShanghaiTech Fishyscapes L&F UCR Anomaly Archive MPDD BTAD One-class CIFAR-100 UBnormal

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CPR-faster(TensorRT)	FPS	1,016	—	Unverified
2	CPR-fast(TensorRT)	FPS	362	—	Unverified
3	CPR(TensorRT)	FPS	130	—	Unverified
4	GLASS	Detection AUROC	99.9	—	Unverified
5	UniNet	Detection AUROC	99.9	—	Unverified
6	HETMM	Detection AUROC	99.8	—	Unverified
7	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	PBAS	Detection AUROC	99.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniNet	Detection AUROC	99.8	—	Unverified
2	GLAD	Detection AUROC	99.5	—	Unverified
3	UniNet(model-unified multi-class)	Detection AUROC	99.15	—	Unverified
4	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	DDAD	Detection AUROC	98.9	—	Unverified
6	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
7	DiffusionAD	Detection AUROC	98.8	—	Unverified
8	GLASS	Detection AUROC	98.8	—	Unverified
9	TransFusion	Detection AUROC	98.7	—	Unverified
10	HETMM	Detection AUROC	98.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CSAD	Avg. Detection AUROC	95.3	—	Unverified
2	PSAD	Avg. Detection AUROC	94.9	—	Unverified