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 751–775 of 4856 papers

Title	Date	Tasks	Status	Hype
Mixed supervision for surface-defect detection: from weakly to fully supervised learning	Apr 13, 2021	Anomaly DetectionDefect Detection	CodeCode Available	1
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers	Apr 12, 2021	Anomaly Detection	CodeCode Available	1
A Principled Approach to Enriching Security-related Data for Running Processes through Statistics and Natural Language Processing	Apr 11, 2021	Anomaly Detection	CodeCode Available	1
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection	Apr 9, 2021	Anomaly Detection	CodeCode Available	1
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization	Apr 8, 2021	Anomaly ClassificationAnomaly Detection	CodeCode Available	1
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT	Apr 8, 2021	Anomaly DetectionTime Series	CodeCode Available	1
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection	Apr 4, 2021	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	1
Online Forecasting and Anomaly Detection Based on the ARIMA Model	Apr 2, 2021	Anomaly DetectionChange Point Detection	CodeCode Available	1
Self-supervised learning for tool wear monitoring with a disentangled-variational-autoencoder	Mar 31, 2021	Anomaly DetectionFeature Engineering	CodeCode Available	1
Neural Transformation Learning for Deep Anomaly Detection Beyond Images	Mar 30, 2021	Anomaly DetectionSelf-Supervised Learning	CodeCode Available	1
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
Few-shot Network Anomaly Detection via Cross-network Meta-learning	Feb 22, 2021	Anomaly DetectionFew-Shot Learning	CodeCode Available	1
Clustered Hierarchical Anomaly and Outlier Detection Algorithms	Feb 9, 2021	Anomaly DetectionClustering	CodeCode Available	1
Negative Data Augmentation	Feb 9, 2021	Action RecognitionAnomaly Detection	CodeCode Available	1
[Re] Learning Memory Guided Normality for Anomaly Detection	Jan 29, 2021	Anomaly DetectionHyperparameter Optimization	CodeCode Available	1
Deep One-Class Classification via Interpolated Gaussian Descriptor	Jan 25, 2021	Anomaly DetectionClassification	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	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
7	DDAD	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	PBAS	Detection AUROC	99.8	—	Unverified
10	HETMM	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	DDAD	Detection AUROC	98.9	—	Unverified
5	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	INP-Former ViT-B (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