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 1001–1025 of 4856 papers

Title	Date	Tasks	Status	Score
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection	May 10, 2024	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	5
Mapper Comparison with Wasserstein Metrics	Dec 15, 2018	Anomaly DetectionOpen-Ended Question Answering	CodeCode Available	5
Language-Assisted Feature Transformation for Anomaly Detection	Mar 3, 2025	Anomaly Detection	CodeCode Available	5
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning	Jul 24, 2024	Anomaly DetectionIn-Context Learning	CodeCode Available	5
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks	Feb 3, 2023	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	5
Kernel-Based Anomaly Detection Using Generalized Hyperbolic Processes	Jan 25, 2025	Anomaly DetectionDensity Estimation	CodeCode Available	5
KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices	May 30, 2025	Anomaly Detection	CodeCode Available	5
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection	Mar 16, 2025	Anomaly DetectionModel Selection	CodeCode Available	5
Kinematic Detection of Anomalies in Human Trajectory Data	Sep 27, 2024	Anomaly Detection	CodeCode Available	5
Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection	May 30, 2024	Anomaly DetectionTime Series	CodeCode Available	5
Known Unknowns: Uncertainty Quality in Bayesian Neural Networks	Dec 5, 2016	Anomaly DetectionKnown Unknowns	CodeCode Available	5
IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain	Jun 12, 2025	Anomaly Detection	CodeCode Available	5
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder	Jan 6, 2017	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	5
Is AUC the best measure for practical comparison of anomaly detectors?	May 8, 2023	Anomaly Detection	CodeCode Available	5
Anomaly Detection and Prototype Selection Using Polyhedron Curvature	Apr 5, 2020	Anomaly DetectionDenoising	CodeCode Available	5
Isconna: Streaming Anomaly Detection with Frequency and Patterns	Apr 4, 2021	Anomaly Detection	CodeCode Available	5
MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection	May 18, 2023	Anomaly DetectionFew-Shot Learning	CodeCode Available	5
Attribute Restoration Framework for Anomaly Detection	Nov 25, 2019	Anomaly DetectionAttribute	CodeCode Available	5
Invertible Neural Networks for Graph Prediction	Jun 2, 2022	Anomaly DetectionGraph Neural Network	CodeCode Available	5
Introduction to Rare-Event Predictive Modeling for Inferential Statisticians -- A Hands-On Application in the Prediction of Breakthrough Patents	Mar 30, 2020	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	5
Inverting Adversarially Robust Networks for Image Synthesis	Jun 13, 2021	Anomaly DetectionDeep Feature Inversion	CodeCode Available	5
Metric Learning for Novelty and Anomaly Detection	Aug 16, 2018	Anomaly DetectionMetric Learning	CodeCode Available	5
Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series	Dec 21, 2022	Anomaly DetectionTime Series	CodeCode Available	5
Attend, Distill, Detect: Attention-aware Entropy Distillation for Anomaly Detection	May 10, 2024	Anomaly DetectionKnowledge Distillation	CodeCode Available	5
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models	Jun 30, 2022	Anomaly Detection	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	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