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 376–400 of 4856 papers

Title	Date	Tasks	Status	Hype
Diffusion Models for Medical Anomaly Detection	Mar 8, 2022	Anomaly DetectionDenoising	CodeCode Available	1
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection	May 23, 2025	Anomaly DetectionMulti-class Anomaly Detection	CodeCode Available	1
An End-to-End Computer Vision Methodology for Quantitative Metallography	Apr 22, 2021	Anomaly DetectionImage Inpainting	CodeCode Available	1
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting	Nov 5, 2022	Anomaly Detectionregression	CodeCode Available	1
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection	Mar 28, 2022	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	1
Do Language Models Understand Time?	Dec 18, 2024	Action RecognitionAnomaly Detection	CodeCode Available	1
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment	Feb 28, 2022	3D Action RecognitionAction Analysis	CodeCode Available	1
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting	Sep 27, 2024	Anomaly DetectionTime Series	CodeCode Available	1
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences	Aug 14, 2022	Anomaly DetectionDecoder	CodeCode Available	1
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays	Jun 8, 2022	Anomaly DetectionOne-Class Classification	CodeCode Available	1
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images	Oct 9, 2022	Anomaly DetectionSelf-Supervised Learning	CodeCode Available	1
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series	Sep 23, 2021	Anomaly DetectionTime Series	CodeCode Available	1
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning	Jun 14, 2021	Anomaly DetectionDeep Learning	CodeCode Available	1
Dynamic Distinction Learning: Adaptive Pseudo Anomalies for Video Anomaly Detection	Apr 7, 2024	Anomaly DetectionVideo Anomaly Detection	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
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions	Jan 2, 2022	Anomaly DetectionOutlier Detection	CodeCode Available	1
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection	Aug 18, 2023	Anomaly DetectionContrastive 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
Eliciting Latent Knowledge from Quirky Language Models	Dec 2, 2023	Anomaly DetectionMath	CodeCode Available	1
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization	Jun 9, 2022	Anomaly DetectionAnomaly Localization	CodeCode Available	1
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach	Aug 2, 2023	Anomaly DetectionDeep Learning	CodeCode Available	1
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection	Dec 15, 2023	Anomaly DetectionTime Series	CodeCode Available	1
ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning	Aug 27, 2024	Anomaly DetectionCPU	CodeCode Available	1
Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling	Nov 21, 2023	Anomaly DetectionTime Series	CodeCode Available	1
Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour models	Oct 27, 2020	Anomaly DetectionChange Point 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