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 1471–1480 of 4856 papers

Title	Date	Tasks	Status	Hype
MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images	Jan 19, 2024	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified	0
Towards Universal Unsupervised Anomaly Detection in Medical Imaging	Jan 19, 2024	Anomaly DetectionDiagnostic	CodeCode Available	1
MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series	Jan 18, 2024	Anomaly DetectionTime Series	—Unverified	0
Intelligent Optimization and Machine Learning Algorithms for Structural Anomaly Detection using Seismic Signals	Jan 18, 2024	Anomaly Detectionparameter estimation	—Unverified	0
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection	Jan 18, 2024	Anomaly DetectionContrastive Learning	CodeCode Available	1
A GAN-based data poisoning framework against anomaly detection in vertical federated learning	Jan 17, 2024	Anomaly DetectionData Poisoning	—Unverified	0
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies	Jan 16, 2024	Anomaly Detectioncounterfactual	—Unverified	0
Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning	Jan 16, 2024	Anomaly DetectionOut-of-Distribution Detection	—Unverified	0
ADVENT: Attack/Anomaly Detection in VANETs	Jan 16, 2024	Anomaly DetectionFederated Learning	—Unverified	0
The weird and the wonderful in our Solar System: Searching for serendipity in the Legacy Survey of Space and Time	Jan 16, 2024	Anomaly DetectionSurvey	—Unverified	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