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 1126–1150 of 4856 papers

Title	Date	Tasks	Status	Score
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework	Nov 14, 2023	Anomaly DetectionConformal Prediction	CodeCode Available	5
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations	Mar 12, 2021	Anomaly DetectionDenoising	CodeCode Available	5
Are generative deep models for novelty detection truly better?	Jul 13, 2018	Anomaly DetectionNovelty Detection	CodeCode Available	5
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection	Nov 20, 2023	Anomaly Detection	CodeCode Available	5
Hybrid Isolation Forest - Application to Intrusion Detection	May 10, 2017	Anomaly DetectionComputational Efficiency	CodeCode Available	5
HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks	Oct 2, 2024	Anomaly DetectionGraph Learning	CodeCode Available	5
Hybrid Deep Network for Anomaly Detection	Aug 17, 2019	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	5
Human Kinematics-inspired Skeleton-based Video Anomaly Detection	Sep 27, 2023	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	5
Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems	Aug 26, 2020	Anomaly DetectionC++ code	CodeCode Available	5
Hyperedge Anomaly Detection with Hypergraph Neural Network	Dec 7, 2024	Anomaly DetectionLink Prediction	CodeCode Available	5
IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study	Apr 30, 2024	Anomaly DetectionAnomaly Segmentation	CodeCode Available	5
A real-time anomaly detection method for robots based on a flexible and sparse latent space	Apr 15, 2025	Anomaly Detection	CodeCode Available	5
HSS-IAD: A Heterogeneous Same-Sort Industrial Anomaly Detection Dataset	Apr 17, 2025	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection	Jan 7, 2023	Active LearningAnomaly Detection	CodeCode Available	5
How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?	Jul 5, 2016	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	5
A Computational Theory and Semi-Supervised Algorithm for Clustering	Jun 12, 2023	Anomaly DetectionClustering	CodeCode Available	5
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks	Apr 16, 2021	Anomaly DetectionSelf-Supervised Anomaly Detection	CodeCode Available	5
A Prototype-Based Neural Network for Image Anomaly Detection and Localization	Oct 4, 2023	Anomaly ClassificationAnomaly Detection	CodeCode Available	5
High-dimensional and Permutation Invariant Anomaly Detection	Jun 6, 2023	Anomaly DetectionDensity Estimation	CodeCode Available	5
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes	Oct 7, 2019	Anomaly DetectionDemand Forecasting	CodeCode Available	5
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection	Jul 24, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	5
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach	Nov 4, 2024	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	5
A predictive model for the identification of learning styles in MOOC environments	Oct 12, 2019	Anomaly DetectionAutomatic Machine Learning Model Selection	CodeCode Available	5
An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process	Dec 20, 2018	Anomaly Detection	CodeCode Available	5
Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection	Apr 2, 2022	Anomaly DetectionUnsupervised 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