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 4101–4125 of 4856 papers

Title	Date	Tasks	Status
Learning Networks from Random Walk-Based Node Similarities	Jan 23, 2018	Anomaly DetectionClustering	CodeCode Available
Anomaly Detection by Recombining Gated Unsupervised Experts	Aug 31, 2020	Anomaly DetectionMixture-of-Experts	CodeCode Available
Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection	Jun 15, 2018	Anomaly Detection	CodeCode Available
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty	Jun 28, 2019	Anomaly DetectionOutlier Detection	CodeCode Available
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis	Mar 20, 2022	Anomaly DetectionMedical Image Analysis	CodeCode Available
TrADe Re-ID -- Live Person Re-Identification using Tracking and Anomaly Detection	Sep 14, 2022	Anomaly DetectionPerson Re-Identification	CodeCode Available
Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis	Aug 29, 2024	Anomaly DetectionDrift Detection	CodeCode Available
Learning Deep Features for One-Class Classification	Jan 16, 2018	Anomaly DetectionDescriptive	CodeCode Available
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping	Dec 5, 2023	Anomaly Detection	CodeCode Available
Dlib-ml: A Machine Learning Toolkit	Jan 1, 2009	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection	Nov 15, 2022	Anomaly DetectionDensity Estimation	CodeCode Available
CNTS: Cooperative Network for Time Series	Feb 20, 2023	Anomaly DetectionTime Series	CodeCode Available
Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings	Sep 14, 2018	Anomaly DetectionVocal Bursts Intensity Prediction	CodeCode Available
Latent Space Autoregression for Novelty Detection	Jul 4, 2018	Anomaly DetectionNovelty Detection	CodeCode Available
Long Short Term Memory Networks for Anomaly Detection in Time Series	Apr 22, 2015	Anomaly DetectionFault Detection	CodeCode Available
A real-time anomaly detection method for robots based on a flexible and sparse latent space	Apr 15, 2025	Anomaly Detection	CodeCode Available
Large Models in Dialogue for Active Perception and Anomaly Detection	Jan 27, 2025	Anomaly DetectionQuestion Answering	CodeCode Available
Anomaly Detection and Prototype Selection Using Polyhedron Curvature	Apr 5, 2020	Anomaly DetectionDenoising	CodeCode Available
Anomalous Motion Detection on Highway Using Deep Learning	Jun 15, 2020	Anomaly DetectionDeep Learning	CodeCode Available
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning	Oct 30, 2023	Anomaly Detectionclass-incremental learning	CodeCode Available
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
Looking at Model Debiasing through the Lens of Anomaly Detection	Jul 24, 2024	Anomaly Detection	CodeCode Available
A Compact Convolutional Neural Network for Textured Surface Anomaly Detection	May 18, 2018	Anomaly DetectionAnomaly Segmentation	CodeCode Available
Language-Assisted Feature Transformation for Anomaly Detection	Mar 3, 2025	Anomaly Detection	CodeCode Available
Landmine Detection Using Autoencoders on Multi-polarization GPR Volumetric Data	Oct 2, 2018	Anomaly DetectionGPR	CodeCode Available

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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