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 4351–4375 of 4856 papers

Title	Date	Tasks	Status
Anomaly Detection With Multiple-Hypotheses Predictions	Oct 31, 2018	Anomaly DetectionDiversity	CodeCode Available
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation	Oct 29, 2021	Anomaly Detection	CodeCode Available
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images	Jun 23, 2024	Anomaly Detection	CodeCode Available
Task-oriented Time Series Imputation Evaluation via Generalized Representers	Oct 9, 2024	Anomaly DetectionImputation	CodeCode Available
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series	Aug 5, 2024	Anomaly DetectionAstronomy	CodeCode Available
Robustness Verification of Deep Neural Networks using Star-Based Reachability Analysis with Variable-Length Time Series Input	Jul 26, 2023	Anomaly DetectionTime Series	CodeCode Available
Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep Unrolling	Sep 17, 2024	Anomaly DetectionDomain Adaptation	CodeCode Available
Heartbeat Anomaly Detection using Adversarial Oversampling	Jan 28, 2019	Anomaly DetectionDiagnostic	CodeCode Available
U2AD: Uncertainty-based Unsupervised Anomaly Detection Framework for Detecting T2 Hyperintensity in MRI Spinal Cord	Mar 17, 2025	Anomaly DetectionLesion Detection	CodeCode Available
Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models	Aug 27, 2021	Anomaly DetectionImputation	CodeCode Available
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks	May 17, 2024	Anomaly DetectionData Augmentation	CodeCode Available
Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies	Aug 2, 2023	Anomaly DetectionImage Segmentation	CodeCode Available
Multimodal Industrial Anomaly Detection by Crossmodal Reverse Distillation	Dec 12, 2024	Anomaly DetectionKnowledge Distillation	CodeCode Available
Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation	Mar 11, 2023	Anomaly DetectionFace Presentation Attack Detection	CodeCode Available
Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced Data	Jun 27, 2024	Anomaly Detection	CodeCode Available
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series	Aug 30, 2022	Anomaly DetectionDecoder	CodeCode Available
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series	Sep 13, 2018	Anomaly DetectionTime Series	CodeCode Available
Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice	May 30, 2021	Adversarial AttackAnomaly Detection	CodeCode Available
Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders	Jan 26, 2021	Anomaly DetectionDenoising	CodeCode Available
tegdet: An extensible Python Library for Anomaly Detection using Time-Evolving Graphs	Oct 17, 2022	Anomaly DetectionTime Series	CodeCode Available
Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark	May 4, 2020	Anomaly Detection	CodeCode Available
Robust Spectral Anomaly Detection in EELS Spectral Images via Three Dimensional Convolutional Variational Autoencoders	Dec 16, 2024	Anomaly Detection	CodeCode Available
An Autoencoder Architecture for L-band Passive Microwave Retrieval of Landscape Freeze-Thaw Cycle	Jul 4, 2024	Anomaly DetectionRetrieval	CodeCode Available
Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding	Jul 3, 2020	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series	Dec 5, 2018	Anomaly DetectionTime Series	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