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 761–770 of 4856 papers

Title	Date	Tasks	Status	Hype
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT	Mar 30, 2021	Anomaly DetectionGraph Neural Network	CodeCode Available	1
SSD: A Unified Framework for Self-Supervised Outlier Detection	Mar 22, 2021	Anomaly DetectionOutlier Detection	CodeCode Available	1
Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge	Mar 10, 2021	Anomaly DetectionSensitivity	CodeCode Available	1
Pixel-wise Anomaly Detection in Complex Driving Scenes	Mar 9, 2021	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1
Student-Teacher Feature Pyramid Matching for Anomaly Detection	Mar 7, 2021	Anomaly Detectionimage-classification	CodeCode Available	1
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images	Mar 5, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1
Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms	Mar 3, 2021	Anomaly DetectionSelf-Driving Cars	CodeCode Available	1
A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity	Mar 2, 2021	Action AnalysisAction Recognition	CodeCode Available	1
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning	Feb 27, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1
SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams	Feb 23, 2021	Anomaly DetectionRecommendation Systems	CodeCode Available	1

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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