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 2351–2375 of 4856 papers

Title	Date	Tasks	Status	Hype
Understanding Ethics, Privacy, and Regulations in Smart Video Surveillance for Public Safety	Dec 25, 2022	Action RecognitionAnomaly Detection	—Unverified	0
Mesh of Things (MoT) Network-Driven Anomaly Detection in Connected Objects	Dec 23, 2022	Anomaly Detection	—Unverified	0
Anomaly Detection using Ensemble Classification and Evidence Theory	Dec 23, 2022	Anomaly DetectionClassification	—Unverified	0
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks	Dec 23, 2022	Anomaly DetectionPrivacy Preserving	CodeCode Available	1
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)	Dec 23, 2022	Anomaly DetectionDensity Estimation	—Unverified	0
SiteFerret: beyond simple pocket identification in proteins	Dec 22, 2022	Anomaly DetectionClustering	CodeCode Available	1
Machine Learning with Probabilistic Law Discovery: A Concise Introduction	Dec 22, 2022	Anomaly DetectionTime Series	—Unverified	0
Supervised Anomaly Detection Method Combining Generative Adversarial Networks and Three-Dimensional Data in Vehicle Inspections	Dec 22, 2022	Anomaly DetectionSupervised Anomaly Detection	—Unverified	0
LogAnMeta: Log Anomaly Detection Using Meta Learning	Dec 21, 2022	Anomaly DetectionMeta-Learning	—Unverified	0
Joint Embedding of 2D and 3D Networks for Medical Image Anomaly Detection	Dec 21, 2022	Anomaly DetectionSelf-Supervised Learning	—Unverified	0
Continual Learning Approaches for Anomaly Detection	Dec 21, 2022	Anomaly DetectionContinual Learning	CodeCode Available	0
Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series	Dec 21, 2022	Anomaly DetectionTime Series	CodeCode Available	0
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos	Dec 20, 2022	Anomaly DetectionSemantic Segmentation	—Unverified	0
Resonant Anomaly Detection with Multiple Reference Datasets	Dec 20, 2022	Anomaly Detection	—Unverified	0
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network	Dec 20, 2022	Action RecognitionAnomaly Detection	—Unverified	0
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks	Dec 20, 2022	Anomaly DetectionChange Detection	—Unverified	0
FedTADBench: Federated Time-Series Anomaly Detection Benchmark	Dec 19, 2022	Anomaly DetectionFederated Learning	CodeCode Available	1
CHAD: Charlotte Anomaly Dataset	Dec 19, 2022	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	1
Weakly Supervised Video Anomaly Detection Based on Cross-Batch Clustering Guidance	Dec 16, 2022	Anomaly DetectionClustering	—Unverified	0
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection	Dec 15, 2022	Anomaly DetectionIntrusion Detection	—Unverified	0
Spatial-Temporal Anomaly Detection for Sensor Attacks in Autonomous Vehicles	Dec 15, 2022	Anomaly DetectionAutonomous Vehicles	—Unverified	0
Anomaly Detection in Driving by Cluster Analysis Twice	Dec 15, 2022	Anomaly Detection	—Unverified	0
EVAL: Explainable Video Anomaly Localization	Dec 15, 2022	Anomaly DetectionAnomaly Localization	—Unverified	0
A scalable framework for annotating photovoltaic cell defects in electroluminescence images	Dec 15, 2022	Anomaly DetectionAnomaly Segmentation	—Unverified	0
Cross-Domain Video Anomaly Detection without Target Domain Adaptation	Dec 14, 2022	Anomaly DetectionDomain Adaptation	—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