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 401–425 of 4856 papers

Title	Date	Tasks	Status	Hype
Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark	Jan 11, 2025	Anomaly DetectionPose-based Anomaly Detection	CodeCode Available	1
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images	May 23, 2022	Anomaly Detection	CodeCode Available	1
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection	May 28, 2022	Anomaly DetectionNovelty Detection	CodeCode Available	1
FAPM: Fast Adaptive Patch Memory for Real-time Industrial Anomaly Detection	Nov 14, 2022	Anomaly Detection	CodeCode Available	1
An Incremental Unified Framework for Small Defect Inspection	Dec 14, 2023	Anomaly Detectioncontinual anomaly detection	CodeCode Available	1
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning	May 25, 2023	Anomaly Detection	CodeCode Available	1
Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder	Mar 12, 2020	Anomaly DetectionQuantization	CodeCode Available	1
FastDTW is approximate and Generally Slower than the Algorithm it Approximates	Mar 25, 2020	Anomaly DetectionClustering	CodeCode Available	1
FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination	Apr 12, 2024	Anomaly DetectionModel Optimization	CodeCode Available	1
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection	Aug 18, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1
AnoDFDNet: A Deep Feature Difference Network for Anomaly Detection	Mar 29, 2022	Anomaly Detectionobject-detection	CodeCode Available	1
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection	May 3, 2024	Anomaly DetectionAttribute	CodeCode Available	1
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection	Jun 15, 2021	Anomaly DetectionFederated Learning	CodeCode Available	1
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks	Dec 23, 2022	Anomaly DetectionPrivacy Preserving	CodeCode Available	1
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization	Jun 9, 2022	Anomaly DetectionAnomaly Localization	CodeCode Available	1
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks	Jul 14, 2022	Anomaly DetectionIntrusion Detection	CodeCode Available	1
Few-Shot One-Class Classification via Meta-Learning	Jul 8, 2020	Anomaly DetectionClassification	CodeCode Available	1
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection	Dec 21, 2023	Anomaly DetectionSegmentation	CodeCode Available	1
Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour models	Oct 27, 2020	Anomaly DetectionChange Point Detection	CodeCode Available	1
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection	Jul 25, 2022	Anomaly DetectionOne-Class Classification	CodeCode Available	1
Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores	Oct 27, 2023	Anomaly Detection	CodeCode Available	1
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection	Dec 13, 2024	Anomaly Detection	CodeCode Available	1
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection	Dec 19, 2024	Anomaly DetectionEEG	CodeCode Available	1
FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata	Mar 28, 2022	Anomaly Detection	CodeCode Available	1
Camouflaged Object Detection	Jun 1, 2020	Anomaly DetectionCamouflaged Object Segmentation	CodeCode Available	1

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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