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 451–475 of 4856 papers

Title	Date	Tasks	Status	Hype	Score
Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection	Jan 9, 2024	Anomaly DetectionDenoising	CodeCode Available	1	5
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopes	Jan 28, 2024	Anomaly DetectionExplainable artificial intelligence	CodeCode Available	1	5
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection	Dec 15, 2023	Anomaly DetectionTime Series	CodeCode Available	1	5
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series	Apr 17, 2024	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach	Aug 2, 2023	Anomaly DetectionDeep Learning	CodeCode Available	1	5
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	Jun 9, 2021	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	1	5
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving	May 13, 2024	Anomaly DetectionAutonomous Driving	CodeCode Available	1	5
Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep Learning	Jun 29, 2021	Anomaly DetectionCloud Computing	CodeCode Available	1	5
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications	Sep 23, 2021	Anomaly Detection	CodeCode Available	1	5
Deep Anomaly Detection Using Geometric Transformations	May 28, 2018	Anomaly Detection	CodeCode Available	1	5
Deep and Confident Prediction for Time Series at Uber	Sep 6, 2017	Anomaly DetectionPrediction	CodeCode Available	1	5
Deep Anomaly Detection on Attributed Networks	May 2, 2019	Anomaly DetectionAttribute	CodeCode Available	1	5
ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning	Aug 27, 2024	Anomaly DetectionCPU	CodeCode Available	1	5
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection	Feb 3, 2023	Anomaly DetectionDomain Adaptation	CodeCode Available	1	5
Deep Contrastive One-Class Time Series Anomaly Detection	Jul 4, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
Deep Learning for Anomaly Detection in Log Data: A Survey	Jul 8, 2022	Anomaly DetectionDeep Learning	CodeCode Available	1	5
Energy Transformer	Feb 14, 2023	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	1	5
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks	Sep 1, 2021	Anomaly DetectionAttribute	CodeCode Available	1	5
Deep Generative Classification of Blood Cell Morphology	Aug 16, 2024	Anomaly DetectionClassification	CodeCode Available	1	5
Deep Feature Selection for Anomaly Detection Based on Pretrained Network and Gaussian Discriminative Analysis	Sep 12, 2022	Anomaly DetectionFault Diagnosis	CodeCode Available	1	5
A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR Data	Mar 14, 2025	Anomaly DetectionDecoder	CodeCode Available	1	5
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation	Dec 19, 2021	Anomaly DetectionKnowledge Distillation	CodeCode Available	1	5
Anomaly Detection-Based Unknown Face Presentation Attack Detection	Jul 11, 2020	Anomaly DetectionFace Presentation Attack Detection	CodeCode Available	1	5
Learning Decision Trees as Amortized Structure Inference	Mar 10, 2025	Anomaly DetectionDeep Reinforcement Learning	CodeCode Available	1	5
An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots	Sep 20, 2022	Anomaly Detection	CodeCode Available	1	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