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 3201–3210 of 4856 papers

Title	Date	Tasks	Status	Hype
DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly detection in air transportation	Sep 8, 2021	Anomaly DetectionTime Series	—Unverified	0
Optimal Reservoir Operations using Long Short-Term Memory Network	Sep 7, 2021	Anomaly Detection	CodeCode Available	1
Postulating Exoplanetary Habitability via a Novel Anomaly Detection Method	Sep 6, 2021	Anomaly DetectionClustering	—Unverified	0
gen2Out: Detecting and Ranking Generalized Anomalies	Sep 6, 2021	Anomaly DetectionEEG	CodeCode Available	0
Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT	Sep 6, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data	Sep 6, 2021	Anomaly DetectionFederated Learning	—Unverified	0
Self-supervised Pseudo Multi-class Pre-training for Unsupervised Anomaly Detection and Segmentation in Medical Images	Sep 3, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1
Computing Graph Descriptors on Edge Streams	Sep 2, 2021	Anomaly DetectionClassification	—Unverified	0
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks	Sep 1, 2021	Anomaly DetectionAttribute	CodeCode Available	1
In-body Bionanosensor Localization for Anomaly Detection via Inertial Positioning and THz Backscattering Communication	Aug 31, 2021	Anomaly Detection	—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	UniNet	Detection AUROC	99.9	—	Unverified
5	GLASS	Detection AUROC	99.9	—	Unverified
6	PBAS	Detection AUROC	99.8	—	Unverified
7	HETMM	Detection AUROC	99.8	—	Unverified
8	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	EfficientAD (early stopping)	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	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	DDAD	Detection AUROC	98.9	—	Unverified
7	GLASS	Detection AUROC	98.8	—	Unverified
8	DiffusionAD	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