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
ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing	Aug 21, 2020	Anomaly DetectionOne-class classifier	—Unverified
Develop End-to-End Anomaly Detection System	Feb 1, 2024	Anomaly Detection	—Unverified
Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis	Nov 28, 2023	Anomaly DetectionIntrusion Detection	—Unverified
DeepADMR: A Deep Learning based Anomaly Detection for MANET Routing	Jan 24, 2023	Anomaly DetectionDeep Learning	—Unverified
Deep Actor-Critic Reinforcement Learning for Anomaly Detection	Aug 28, 2019	Anomaly DetectionDeep Reinforcement Learning	—Unverified
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series	Jan 23, 2022	Anomaly DetectionTime Series	—Unverified
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph	Apr 11, 2023	Anomaly DetectionRepresentation Learning	—Unverified
A Non-Parametric Subspace Analysis Approach with Application to Anomaly Detection Ensembles	Jan 13, 2021	Anomaly DetectionAttribute	—Unverified
AnoNet: Weakly Supervised Anomaly Detection in Textured Surfaces	Nov 24, 2019	Anomaly DetectionSupervised Anomaly Detection	—Unverified
DeCorus: Hierarchical Multivariate Anomaly Detection at Cloud-Scale	Feb 14, 2022	Anomaly Detection	—Unverified

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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