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 681–690 of 4856 papers

Title	Date	Tasks	Status	Hype
Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction	Nov 14, 2024	Anomaly DetectionClustering	—Unverified	0
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination	Nov 14, 2024	Anomaly Detection	CodeCode Available	0
Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?	Nov 14, 2024	Anomaly DetectionGeneral Knowledge	—Unverified	0
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning	Nov 13, 2024	Anomaly DetectionEdge-computing	—Unverified	0
AI-Enhanced Inverter Fault and Anomaly Detection System for Distributed Energy Resources in Microgrids	Nov 13, 2024	Anomaly DetectionFault Detection	—Unverified	0
A Fuzzy Reinforcement LSTM-based Long-term Prediction Model for Fault Conditions in Nuclear Power Plants	Nov 13, 2024	Anomaly DetectionDecision Making	—Unverified	0
LogLLM: Log-based Anomaly Detection Using Large Language Models	Nov 13, 2024	Anomaly DetectionDecoder	CodeCode Available	2
Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks	Nov 13, 2024	Anomaly DetectionDemand Forecasting	CodeCode Available	2
AstroM^3: A self-supervised multimodal model for astronomy	Nov 13, 2024	Anomaly DetectionAstronomy	—Unverified	0
Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset	Nov 13, 2024	Anomaly DetectionBenchmarking	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