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 1351–1360 of 4856 papers

Title	Date	Tasks	Status	Score
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection	Jan 30, 2025	Anomaly DetectionTime Series	CodeCode Available	5
Good Practices and A Strong Baseline for Traffic Anomaly Detection	May 9, 2021	Anomaly DetectionManagement	CodeCode Available	5
Concentration bounds for the empirical angular measure with statistical learning applications	Apr 7, 2021	Anomaly DetectionBinary Classification	CodeCode Available	5
Anomaly Detection through Unsupervised Federated Learning	Sep 9, 2022	Anomaly DetectionFederated Learning	CodeCode Available	5
FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation	Jan 30, 2023	Anomaly DetectionKnowledge Distillation	CodeCode Available	5
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data	Nov 20, 2018	Anomaly DetectionDecoder	CodeCode Available	5
Anomaly Detection with Robust Deep Autoencoders	Aug 13, 2017	Anomaly DetectionDenoising	CodeCode Available	5
Foundation Models for Structural Health Monitoring	Apr 3, 2024	Anomaly DetectionKnowledge Distillation	CodeCode Available	5
Computer Vision and Normalizing Flow-Based Defect Detection	Dec 12, 2020	Anomaly DetectionDefect Detection	CodeCode Available	5
Focus or Not: A Baseline for Anomaly Event Detection On the Open Public Places with Satellite Images	Mar 21, 2023	Anomaly DetectionChange Detection	CodeCode Available	5

Show:10 25 50

← PrevPage 136 of 486Next →

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