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 1201–1225 of 4856 papers

Title	Date	Tasks	Status	Score
Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos	May 30, 2022	Anomaly DetectionDeep Learning	CodeCode Available	5
Group Anomaly Detection using Deep Generative Models	Apr 13, 2018	Anomaly DetectionGroup Anomaly Detection	CodeCode Available	5
AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning with Only Normal Samples	Aug 24, 2024	Anomaly DetectionDecoder	CodeCode Available	5
A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images	Jul 20, 2021	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	5
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies	May 30, 2023	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	5
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values	Jan 11, 2024	Anomaly DetectionMissing Values	CodeCode Available	5
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection	Nov 4, 2024	Anomaly DetectionAttribute	CodeCode Available	5
Graph Fairing Convolutional Networks for Anomaly Detection	Oct 20, 2020	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	5
Graph Laplacian for Image Anomaly Detection	Feb 27, 2018	Anomaly Detection	CodeCode Available	5
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection	Oct 27, 2024	Anomaly DetectionContrastive Learning	CodeCode Available	5
Graph Embedded Pose Clustering for Anomaly Detection	Dec 26, 2019	Anomaly DetectionClustering	CodeCode Available	5
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection	Aug 29, 2023	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	5
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection	Mar 18, 2019	Anomaly DetectionAnomaly Detection In Surveillance Videos	CodeCode Available	5
Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced Data	Jun 27, 2024	Anomaly Detection	CodeCode Available	5
An anomaly detection approach for backdoored neural networks: face recognition as a case study	Aug 22, 2022	Anomaly DetectionFace Recognition	CodeCode Available	5
GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model	Mar 23, 2025	Anomaly DetectionDrug Discovery	CodeCode Available	5
AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active Learning	May 6, 2025	Active LearningAnomaly Detection	CodeCode Available	5
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection	Dec 2, 2019	Anomaly Detection	CodeCode Available	5
Generator Based Inference (GBI)	May 30, 2025	Anomaly Detectionparameter estimation	CodeCode Available	5
Generative Neural Networks for Anomaly Detection in Crowded Scenes	Oct 29, 2018	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	5
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines	Mar 2, 2021	Anomaly DetectionTransfer Learning	CodeCode Available	5
Generative Optimization Networks for Memory Efficient Data Generation	Oct 6, 2021	Anomaly DetectionTime Series	CodeCode Available	5
Anomaly Detection with Variance Stabilized Density Estimation	Jun 1, 2023	Anomaly DetectionDensity Estimation	CodeCode Available	5
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection	Mar 15, 2019	Anomaly Detection	CodeCode Available	5
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited Data	Jul 16, 2024	Anomaly DetectionDenoising	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