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 1951–1975 of 4856 papers

Title	Date	Tasks	Status	Hype
Unveiling the Invisible: Enhanced Detection and Analysis of Deteriorated Areas in Solar PV Modules Using Unsupervised Sensing Algorithms and 3D Augmented Reality	Jul 11, 2023	Anomaly Detection	—Unverified	0
ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown	Jul 10, 2023	Anomaly DetectionCode Generation	CodeCode Available	1
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection	Jul 10, 2023	Anomaly DetectionAudio Compression	—Unverified	0
Restricted Generative Projection for One-Class Classification and Anomaly Detection	Jul 9, 2023	Anomaly DetectionInformativeness	—Unverified	0
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems	Jul 7, 2023	Anomaly DetectionFault Detection	CodeCode Available	1
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection	Jul 7, 2023	Anomaly DetectionImputation	CodeCode Available	2
CSCLog: A Component Subsequence Correlation-Aware Log Anomaly Detection Method	Jul 7, 2023	Anomaly Detection	CodeCode Available	0
FITS: Modeling Time Series with 10k Parameters	Jul 6, 2023	Anomaly DetectionTime Series	CodeCode Available	2
That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering	Jul 6, 2023	Anomaly DetectionClustering	—Unverified	0
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization	Jul 6, 2023	Anomaly Detection	—Unverified	0
Contextual Affinity Distillation for Image Anomaly Detection	Jul 6, 2023	Anomaly DetectionKnowledge Distillation	—Unverified	0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers	Jul 5, 2023	Anomaly DetectionComputational Efficiency	CodeCode Available	0
Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements	Jul 5, 2023	Anomaly DetectionDecision Making	—Unverified	0
Prototypes as Explanation for Time Series Anomaly Detection	Jul 4, 2023	Anomaly DetectionTime Series	—Unverified	0
Anomaly detection in image or latent space of patch-based auto-encoders for industrial image analysis	Jul 4, 2023	Anomaly Detection	—Unverified	0
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations	Jul 4, 2023	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	1
Application of MUSIC-type imaging for anomaly detection without background information	Jul 3, 2023	Anomaly Detection	—Unverified	0
The ROAD to discovery: machine learning-driven anomaly detection in radio astronomy spectrograms	Jul 3, 2023	Anomaly DetectionAstronomy	CodeCode Available	0
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection	Jul 3, 2023	Anomaly DetectionImputation	CodeCode Available	1
Graph-level Anomaly Detection via Hierarchical Memory Networks	Jul 3, 2023	Anomaly Detection	CodeCode Available	1
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images	Jul 3, 2023	Anomaly Detection	—Unverified	0
Graph Neural Networks based Log Anomaly Detection and Explanation	Jul 2, 2023	Anomaly DetectionGraph Neural Network	CodeCode Available	1
Morse Neural Networks for Uncertainty Quantification	Jul 2, 2023	Anomaly DetectionOne-class classifier	—Unverified	0
A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views	Jul 2, 2023	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	0
Hiding in Plain Sight: Differential Privacy Noise Exploitation for Evasion-resilient Localized Poisoning Attacks in Multiagent Reinforcement Learning	Jul 1, 2023	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	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