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

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Showing 851–875 of 4856 papers

Title	Date	Tasks	Status	Hype
Anomaly Detection in Medical Imaging with Deep Perceptual Autoencoders	Jun 23, 2020	Anomaly DetectionMedical Image Analysis	CodeCode Available	1
Locally Masked Convolution for Autoregressive Models	Jun 22, 2020	Anomaly DetectionDensity Estimation	CodeCode Available	1
Manifolds for Unsupervised Visual Anomaly Detection	Jun 19, 2020	Anomaly Detectionwhole slide images	CodeCode Available	1
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds	Jun 18, 2020	Anomaly DetectionTask 2	CodeCode Available	1
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features	Jun 18, 2020	Anomaly Detection	CodeCode Available	1
Learning Latent Space Energy-Based Prior Model	Jun 15, 2020	Anomaly Detectionmodel	CodeCode Available	1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature	Jun 11, 2020	Anomaly DetectionArticles	CodeCode Available	1
Camouflaged Object Detection	Jun 1, 2020	Anomaly DetectionCamouflaged Object Segmentation	CodeCode Available	1
Rethinking Assumptions in Deep Anomaly Detection	May 30, 2020	Anomaly Detection	CodeCode Available	1
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity	May 29, 2020	Active LearningAnomaly Detection	CodeCode Available	1
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection	May 28, 2020	Anomaly DetectionTransfer Learning	CodeCode Available	1
Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and Monitoring	May 20, 2020	Anomaly DetectionBayesian Optimization	CodeCode Available	1
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs	May 15, 2020	Anomaly DetectionGraph Neural Network	CodeCode Available	1
Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization	May 12, 2020	Anomaly DetectionMetric Learning	CodeCode Available	1
Learning Generalized Spoof Cues for Face Anti-spoofing	May 8, 2020	Anomaly DetectionDiversity	CodeCode Available	1
Classification-Based Anomaly Detection for General Data	May 5, 2020	Anomaly DetectionClassification	CodeCode Available	1
Sub-Image Anomaly Detection with Deep Pyramid Correspondences	May 5, 2020	Anomaly ClassificationAnomaly Detection	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
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations	May 4, 2020	Anomaly DetectionDensity Estimation	CodeCode Available	1
RaPP: Novelty Detection with Reconstruction along Projection Pathway	May 1, 2020	Anomaly DetectionNovelty Detection	CodeCode Available	1
How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series	Apr 23, 2020	Anomaly DetectionRespiratory Failure	CodeCode Available	1
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging	Apr 17, 2020	Anomaly DetectionOptical Flow Estimation	CodeCode Available	1
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm	Apr 16, 2020	Anomaly DetectionNovelty Detection	CodeCode Available	1
Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model	Apr 9, 2020	Anomaly DetectionTime Series	CodeCode Available	1
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study	Apr 7, 2020	AnatomyAnomaly 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