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 1401–1425 of 4856 papers

Title	Date	Tasks	Status	Score
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series	Aug 5, 2024	Anomaly DetectionAstronomy	CodeCode Available	5
Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder	Jun 11, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	5
FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation	Jan 30, 2023	Anomaly DetectionKnowledge Distillation	CodeCode Available	5
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection	Nov 4, 2024	Anomaly DetectionAttribute	CodeCode Available	5
Combining Machine Learning Models using combo Library	Sep 21, 2019	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	5
CoMadOut -- A Robust Outlier Detection Algorithm based on CoMAD	Nov 23, 2022	Anomaly DetectionOutlier Detection	CodeCode Available	5
Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks	May 21, 2021	Anomaly Detectionimage-classification	CodeCode Available	5
Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection	Feb 8, 2025	Anomaly DetectionComputational Efficiency	CodeCode Available	5
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization	Oct 16, 2024	Anomaly DetectionFederated Learning	CodeCode Available	5
A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients	Mar 21, 2024	Anomaly DetectionMulti-class Anomaly Detection	CodeCode Available	5
Feature space reduction as data preprocessing for the anomaly detection	Mar 13, 2022	Anomaly Detection	CodeCode Available	5
Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder	Nov 28, 2023	Anomaly Detection	CodeCode Available	5
FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks	Dec 13, 2024	Anomaly Detection	CodeCode Available	5
Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection	Jul 5, 2024	Anomaly DetectionEdge-computing	CodeCode Available	5
CNTS: Cooperative Network for Time Series	Feb 20, 2023	Anomaly DetectionTime Series	CodeCode Available	5
Cluster-Wide Task Slowdown Detection in Cloud System	Aug 8, 2024	Anomaly DetectionCloud Computing	CodeCode Available	5
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection	Oct 27, 2024	Anomaly DetectionContrastive Learning	CodeCode Available	5
PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series	Nov 21, 2024	Anomaly DetectionBenchmarking	CodeCode Available	5
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications	May 30, 2018	Anomaly DetectionComputational Efficiency	CodeCode Available	5
Fence GAN: Towards Better Anomaly Detection	Apr 2, 2019	Anomaly ClassificationAnomaly Detection	CodeCode Available	5
Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine	Oct 22, 2018	Anomaly DetectionDecoder	CodeCode Available	5
f-AnoGAN: Fast Unsupervised Anomaly Detection with Generative Adversarial Networks	Jan 30, 2019	Anomaly ClassificationAnomaly Detection	CodeCode Available	5
FADE: Forecasting for Anomaly Detection on ECG	Feb 11, 2025	Anomaly DetectionDomain Adaptation	CodeCode Available	5
FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection	Jun 29, 2024	Anomaly DetectionKnowledge Distillation	CodeCode Available	5
Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User Anomalies	Sep 19, 2024	Anomaly DetectionGraph Embedding	CodeCode Available	5

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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