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 1701–1725 of 4856 papers

Title	Date	Tasks	Status	Score
BiGSeT: Binary Mask-Guided Separation Training for DNN-based Hyperspectral Anomaly Detection	Jul 14, 2023	Anomaly Detection	CodeCode Available	5
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods	Apr 27, 2024	Anomaly DetectionTime Series	CodeCode Available	5
Coupled-Space Attacks against Random-Walk-based Anomaly Detection	Jul 26, 2023	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	5
Dual-Modality Vehicle Anomaly Detection via Bilateral Trajectory Tracing	Jun 9, 2021	Anomaly Detectionvehicle detection	CodeCode Available	5
Dynamic Erasing Network Based on Multi-Scale Temporal Features for Weakly Supervised Video Anomaly Detection	Dec 4, 2023	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	5
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection	Nov 26, 2023	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
β-GNN: A Robust Ensemble Approach Against Graph Structure Perturbation	Mar 26, 2025	Anomaly DetectionManagement	CodeCode Available	5
Adversarial Distillation of Bayesian Neural Network Posteriors	Jun 27, 2018	Active LearningAnomaly Detection	CodeCode Available	5
DTOR: Decision Tree Outlier Regressor to explain anomalies	Mar 16, 2024	Anomaly Detectionvalid	CodeCode Available	5
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI	Nov 28, 2022	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
Beyond the Benchmark: Detecting Diverse Anomalies in Videos	Oct 3, 2023	Action RecognitionAnomaly Detection	CodeCode Available	5
Beyond Single-Modal Boundary: Cross-Modal Anomaly Detection through Visual Prototype and Harmonization	Jan 1, 2025	Anomaly Detection	CodeCode Available	5
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection	Aug 17, 2023	Anomaly DetectionMixture-of-Experts	CodeCode Available	5
Dlib-ml: A Machine Learning Toolkit	Jan 1, 2009	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	5
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach	Aug 17, 2022	Anomaly DetectionAttribute	CodeCode Available	5
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection	Jul 13, 2023	Anomaly DetectionData Augmentation	CodeCode Available	5
Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation	Apr 3, 2025	Anomaly DetectionKnowledge Distillation	CodeCode Available	5
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection	Mar 30, 2025	Anomaly DetectionDiversity	CodeCode Available	5
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators	Jan 12, 2021	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	5
DriftNet: Aggressive Driving Behavior Classification using 3D EfficientNet Architecture	Apr 18, 2020	Anomaly DetectionClassification	CodeCode Available	5
Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series	Jun 25, 2025	Anomaly DetectionBenchmarking	CodeCode Available	5
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond	Apr 26, 2024	Anomaly DetectionCell Detection	CodeCode Available	5
Benchmarking Suite for Synthetic Aperture Radar Imagery Anomaly Detection (SARIAD) Algorithms	Apr 10, 2025	Anomaly DetectionBenchmarking	CodeCode Available	5
Temporal anomaly detection: calibrating the surprise	May 29, 2017	Anomaly Detection	CodeCode Available	5
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs	Jun 21, 2022	Anomaly DetectionBenchmarking	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