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 3926–3950 of 4856 papers

Title	Date	Tasks	Status	Hype
A Metric Learning Approach to Anomaly Detection in Video Games	May 20, 2020	Anomaly DetectionAtari Games	CodeCode Available	0
An Incremental Clustering Method for Anomaly Detection in Flight Data	May 20, 2020	Anomaly DetectionClustering	—Unverified	0
Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and Monitoring	May 20, 2020	Anomaly DetectionBayesian Optimization	CodeCode Available	1
Design of a dynamic and self adapting system, supported with artificial intelligence, machine learning and real time intelligence for predictive cyber risk analytics in extreme environments, cyber risk in the colonisation of Mars	May 19, 2020	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Anomaly Detection in Cloud Components	May 18, 2020	Anomaly DetectionTime Series	—Unverified	0
Transformation Based Deep Anomaly Detection in Astronomical Images	May 15, 2020	Anomaly DetectionDimensionality Reduction	—Unverified	0
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs	May 15, 2020	Anomaly DetectionGraph Neural Network	CodeCode Available	1
A Weighted Mutual k-Nearest Neighbour for Classification Mining	May 14, 2020	Anomaly DetectionClassification	CodeCode Available	0
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks	May 14, 2020	Anomaly DetectionClassification	—Unverified	0
Temporal signals to images: Monitoring the condition of industrial assets with deep learning image processing algorithms	May 14, 2020	Anomaly DetectionDeep Learning	—Unverified	0
Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts	May 12, 2020	Anomaly DetectionContour Detection	—Unverified	0
Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization	May 12, 2020	Anomaly DetectionMetric Learning	CodeCode Available	1
Integrated Methodology to Cognitive Network \& Slice Management in Virtualized 5G Networks	May 11, 2020	Anomaly DetectionManagement	—Unverified	0
Personalized Early Stage Alzheimer's Disease Detection: A Case Study of President Reagan's Speeches	May 8, 2020	Alzheimer's Disease DetectionAnomaly Detection	—Unverified	0
Learning Generalized Spoof Cues for Face Anti-spoofing	May 8, 2020	Anomaly DetectionDiversity	CodeCode Available	1
A Showcase of the Use of Autoencoders in Feature Learning Applications	May 8, 2020	Anomaly DetectionData Visualization	CodeCode Available	0
A Review of Computer Vision Methods in Network Security	May 7, 2020	Anomaly DetectionMalware Detection	—Unverified	0
Sub-Image Anomaly Detection with Deep Pyramid Correspondences	May 5, 2020	Anomaly ClassificationAnomaly Detection	CodeCode Available	1
Classification-Based Anomaly Detection for General Data	May 5, 2020	Anomaly DetectionClassification	CodeCode Available	1
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection	May 5, 2020	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	1
Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark	May 4, 2020	Anomaly Detection	CodeCode Available	0
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations	May 4, 2020	Anomaly DetectionDensity Estimation	CodeCode Available	1
Open Set Wireless Transmitter Authorization: Deep Learning Approaches and Dataset Considerations	May 3, 2020	Anomaly DetectionOpen Set Learning	—Unverified	0
Optimal Strategies Against Generative Attacks	May 1, 2020	Anomaly Detection	CodeCode Available	0
RaPP: Novelty Detection with Reconstruction along Projection Pathway	May 1, 2020	Anomaly DetectionNovelty Detection	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